id	sid	tid	token	lemma	pos
ijassa-803	1	1	microsoft	microsoft	PROPN
ijassa-803	1	2	word	word	NOUN
ijassa-803	1	3	803	803	NUM
ijassa-803	1	4	a	a	DET
ijassa-803	1	5	novel	novel	ADJ
ijassa-803	1	6	enriched	enrich	VERB
ijassa-803	1	7	lasso	lasso	NOUN
ijassa-803	1	8	based	base	VERB
ijassa-803	1	9	compression	compression	NOUN
ijassa-803	1	10	technique	technique	NOUN
ijassa-803	1	11	for	for	ADP
ijassa-803	1	12	energy	energy	NOUN
ijassa-803	1	13	efficient	efficient	ADJ
ijassa-803	1	14	wireless	wireless	NOUN
ijassa-803	1	15	sensor	sensor	NOUN
ijassa-803	1	16	networks	network	NOUN
ijassa-803	1	17	adv	adv	PROPN
ijassa-803	1	18	syst	syst	PROPN
ijassa-803	1	19	sci	sci	PROPN
ijassa-803	1	20	appl	appl	PROPN
ijassa-803	1	21	2020	2020	NUM
ijassa-803	1	22	;	;	PUNCT
ijassa-803	1	23	01	01	NUM
ijassa-803	1	24	;	;	PUNCT
ijassa-803	1	25	66	66	NUM
ijassa-803	1	26	-	-	SYM
ijassa-803	1	27	82	82	NUM
ijassa-803	1	28	published	publish	VERB
ijassa-803	1	29	online	online	ADV
ijassa-803	1	30	at	at	ADP
ijassa-803	1	31	http://ijassa.ipu.ru/index.php/ijassa/article/view/803	http://ijassa.ipu.ru/index.php/ijassa/article/view/803	NOUN
ijassa-803	1	32	a	a	DET
ijassa-803	1	33	novel	novel	ADJ
ijassa-803	1	34	enriched	enrich	VERB
ijassa-803	1	35	lasso	lasso	NOUN
ijassa-803	1	36	based	base	VERB
ijassa-803	1	37	compression	compression	NOUN
ijassa-803	1	38	technique	technique	NOUN
ijassa-803	1	39	for	for	ADP
ijassa-803	1	40	energy	energy	NOUN
ijassa-803	1	41	efficient	efficient	ADJ
ijassa-803	1	42	wireless	wireless	ADJ
ijassa-803	1	43	sensor	sensor	NOUN
ijassa-803	1	44	networks	network	NOUN
ijassa-803	1	45	anitha	anitha	PROPN
ijassa-803	1	46	k1	k1	PROPN
ijassa-803	1	47	,	,	PUNCT
ijassa-803	1	48	jaison	jaison	NOUN
ijassa-803	1	49	b2	b2	NOUN
ijassa-803	1	50	,	,	PUNCT
ijassa-803	1	51	nalini	nalini	PROPN
ijassa-803	1	52	m3	m3	PROPN
ijassa-803	1	53	,	,	PUNCT
ijassa-803	1	54	shiny	shiny	ADJ
ijassa-803	1	55	irene	irene	NOUN
ijassa-803	1	56	d4	d4	PROPN
ijassa-803	1	57	1	1	NUM
ijassa-803	1	58	)	)	PUNCT
ijassa-803	1	59	department	department	NOUN
ijassa-803	1	60	of	of	ADP
ijassa-803	1	61	computer	computer	NOUN
ijassa-803	1	62	science	science	NOUN
ijassa-803	1	63	and	and	CCONJ
ijassa-803	1	64	engineering	engineering	NOUN
ijassa-803	1	65	,	,	PUNCT
ijassa-803	1	66	saveetha	saveetha	PROPN
ijassa-803	1	67	school	school	NOUN
ijassa-803	1	68	of	of	ADP
ijassa-803	1	69	engineering	engineering	NOUN
ijassa-803	1	70	,	,	PUNCT
ijassa-803	1	71	chennai	chennai	PROPN
ijassa-803	1	72	,	,	PUNCT
ijassa-803	1	73	india	india	PROPN
ijassa-803	1	74	email	email	NOUN
ijassa-803	1	75	:	:	PUNCT
ijassa-803	1	76	anithak.rameshr@gmail.com	anithak.rameshr@gmail.com	X
ijassa-803	1	77	2	2	X
ijassa-803	1	78	)	)	PUNCT
ijassa-803	1	79	department	department	NOUN
ijassa-803	1	80	of	of	ADP
ijassa-803	1	81	computer	computer	NOUN
ijassa-803	1	82	science	science	NOUN
ijassa-803	1	83	and	and	CCONJ
ijassa-803	1	84	engineering	engineering	NOUN
ijassa-803	1	85	,	,	PUNCT
ijassa-803	1	86	r.m.k	r.m.k	VERB
ijassa-803	1	87	engineering	engineering	PROPN
ijassa-803	1	88	college	college	PROPN
ijassa-803	1	89	,	,	PUNCT
ijassa-803	1	90	chennai	chennai	PROPN
ijassa-803	1	91	,	,	PUNCT
ijassa-803	1	92	india	india	PROPN
ijassa-803	1	93	email	email	NOUN
ijassa-803	1	94	:	:	PUNCT
ijassa-803	1	95	bjn.cse@rmkec.ac.in	bjn.cse@rmkec.ac.in	PROPN
ijassa-803	1	96	3	3	NUM
ijassa-803	1	97	)	)	PUNCT
ijassa-803	1	98	department	department	NOUN
ijassa-803	1	99	of	of	ADP
ijassa-803	1	100	computer	computer	NOUN
ijassa-803	1	101	science	science	NOUN
ijassa-803	1	102	and	and	CCONJ
ijassa-803	1	103	engineering	engineering	NOUN
ijassa-803	1	104	,	,	PUNCT
ijassa-803	1	105	saveetha	saveetha	PROPN
ijassa-803	1	106	school	school	NOUN
ijassa-803	1	107	of	of	ADP
ijassa-803	1	108	engineering	engineering	NOUN
ijassa-803	1	109	,	,	PUNCT
ijassa-803	1	110	chennai	chennai	PROPN
ijassa-803	1	111	,	,	PUNCT
ijassa-803	1	112	india	india	PROPN
ijassa-803	1	113	email	email	NOUN
ijassa-803	1	114	:	:	PUNCT
ijassa-803	1	115	nalinitptwin@gmail.com	nalinitptwin@gmail.com	X
ijassa-803	1	116	4	4	X
ijassa-803	1	117	)	)	PUNCT
ijassa-803	1	118	department	department	NOUN
ijassa-803	1	119	of	of	ADP
ijassa-803	1	120	computer	computer	NOUN
ijassa-803	1	121	science	science	NOUN
ijassa-803	1	122	and	and	CCONJ
ijassa-803	1	123	engineering	engineering	NOUN
ijassa-803	1	124	,	,	PUNCT
ijassa-803	1	125	saveetha	saveetha	PROPN
ijassa-803	1	126	school	school	NOUN
ijassa-803	1	127	of	of	ADP
ijassa-803	1	128	engineering	engineering	NOUN
ijassa-803	1	129	,	,	PUNCT
ijassa-803	1	130	chennai	chennai	PROPN
ijassa-803	1	131	,	,	PUNCT
ijassa-803	1	132	india	india	PROPN
ijassa-803	1	133	email	email	NOUN
ijassa-803	1	134	:	:	PUNCT
ijassa-803	2	1	dshinyirene@gmail.com	dshinyirene@gmail.com	X
ijassa-803	2	2	abstract	abstract	NOUN
ijassa-803	2	3	:	:	PUNCT
ijassa-803	2	4	the	the	DET
ijassa-803	2	5	capability	capability	NOUN
ijassa-803	2	6	of	of	ADP
ijassa-803	2	7	transmission	transmission	NOUN
ijassa-803	2	8	in	in	ADP
ijassa-803	2	9	wireless	wireless	ADJ
ijassa-803	2	10	sensor	sensor	NOUN
ijassa-803	2	11	networks	network	NOUN
ijassa-803	2	12	(	(	PUNCT
ijassa-803	2	13	wsn	wsn	NOUN
ijassa-803	2	14	)	)	PUNCT
ijassa-803	2	15	is	be	AUX
ijassa-803	2	16	circumscribed	circumscribe	VERB
ijassa-803	2	17	due	due	ADP
ijassa-803	2	18	to	to	ADP
ijassa-803	2	19	the	the	DET
ijassa-803	2	20	precincts	precinct	NOUN
ijassa-803	2	21	in	in	ADP
ijassa-803	2	22	energy	energy	NOUN
ijassa-803	2	23	utilization	utilization	NOUN
ijassa-803	2	24	,	,	PUNCT
ijassa-803	2	25	controlled	control	VERB
ijassa-803	2	26	resources	resource	NOUN
ijassa-803	2	27	of	of	ADP
ijassa-803	2	28	transmission	transmission	NOUN
ijassa-803	2	29	devices	device	NOUN
ijassa-803	2	30	and	and	CCONJ
ijassa-803	2	31	network	network	NOUN
ijassa-803	2	32	components	component	NOUN
ijassa-803	2	33	.	.	PUNCT
ijassa-803	3	1	information	information	NOUN
ijassa-803	3	2	compression	compression	NOUN
ijassa-803	3	3	is	be	AUX
ijassa-803	3	4	taken	take	VERB
ijassa-803	3	5	into	into	ADP
ijassa-803	3	6	account	account	NOUN
ijassa-803	3	7	as	as	ADP
ijassa-803	3	8	the	the	DET
ijassa-803	3	9	best	good	ADJ
ijassa-803	3	10	option	option	NOUN
ijassa-803	3	11	,	,	PUNCT
ijassa-803	3	12	because	because	SCONJ
ijassa-803	3	13	the	the	DET
ijassa-803	3	14	major	major	ADJ
ijassa-803	3	15	part	part	NOUN
ijassa-803	3	16	of	of	ADP
ijassa-803	3	17	energy	energy	NOUN
ijassa-803	3	18	consumed	consume	VERB
ijassa-803	3	19	is	be	AUX
ijassa-803	3	20	for	for	ADP
ijassa-803	3	21	transmission	transmission	NOUN
ijassa-803	3	22	of	of	ADP
ijassa-803	3	23	information	information	NOUN
ijassa-803	3	24	.	.	PUNCT
ijassa-803	4	1	habitually	habitually	ADV
ijassa-803	4	2	lossy	lossy	ADJ
ijassa-803	4	3	compression	compression	NOUN
ijassa-803	4	4	is	be	AUX
ijassa-803	4	5	adopted	adopt	VERB
ijassa-803	4	6	,	,	PUNCT
ijassa-803	4	7	since	since	SCONJ
ijassa-803	4	8	wsn	wsn	PROPN
ijassa-803	4	9	abides	abide	VERB
ijassa-803	4	10	some	some	DET
ijassa-803	4	11	error	error	NOUN
ijassa-803	4	12	in	in	ADP
ijassa-803	4	13	the	the	DET
ijassa-803	4	14	reconstructed	reconstruct	VERB
ijassa-803	4	15	signals	signal	NOUN
ijassa-803	4	16	subjected	subject	VERB
ijassa-803	4	17	to	to	ADP
ijassa-803	4	18	some	some	DET
ijassa-803	4	19	acceptable	acceptable	ADJ
ijassa-803	4	20	tolerance	tolerance	NOUN
ijassa-803	4	21	.	.	PUNCT
ijassa-803	5	1	lasso	lasso	NOUN
ijassa-803	5	2	based	base	VERB
ijassa-803	5	3	models	model	NOUN
ijassa-803	5	4	have	have	AUX
ijassa-803	5	5	been	be	AUX
ijassa-803	5	6	ascertained	ascertain	VERB
ijassa-803	5	7	their	their	PRON
ijassa-803	5	8	capability	capability	NOUN
ijassa-803	5	9	to	to	PART
ijassa-803	5	10	effectually	effectually	ADV
ijassa-803	5	11	compress	compress	VERB
ijassa-803	5	12	both	both	PRON
ijassa-803	5	13	multivariate	multivariate	NOUN
ijassa-803	5	14	and	and	CCONJ
ijassa-803	5	15	univariate	univariate	ADJ
ijassa-803	5	16	data	datum	NOUN
ijassa-803	5	17	.	.	PUNCT
ijassa-803	6	1	traditional	traditional	ADJ
ijassa-803	6	2	lasso	lasso	NOUN
ijassa-803	6	3	considers	consider	VERB
ijassa-803	6	4	ℓ1	ℓ1	NOUN
ijassa-803	6	5	-	-	PUNCT
ijassa-803	6	6	norm	norm	NOUN
ijassa-803	6	7	regularization	regularization	NOUN
ijassa-803	6	8	for	for	ADP
ijassa-803	6	9	learning	learn	VERB
ijassa-803	6	10	in	in	ADP
ijassa-803	6	11	multi	multi	ADJ
ijassa-803	6	12	-	-	ADJ
ijassa-803	6	13	dimensional	dimensional	ADJ
ijassa-803	6	14	data	datum	NOUN
ijassa-803	6	15	sets	set	NOUN
ijassa-803	6	16	and	and	CCONJ
ijassa-803	6	17	assumes	assume	VERB
ijassa-803	6	18	sparsity	sparsity	NOUN
ijassa-803	6	19	as	as	ADP
ijassa-803	6	20	model	model	NOUN
ijassa-803	6	21	parameters	parameter	NOUN
ijassa-803	6	22	.	.	PUNCT
ijassa-803	7	1	lasso	lasso	NOUN
ijassa-803	7	2	prominence	prominence	NOUN
ijassa-803	7	3	on	on	ADP
ijassa-803	7	4	sparsity	sparsity	NOUN
ijassa-803	7	5	and	and	CCONJ
ijassa-803	7	6	deal	deal	VERB
ijassa-803	7	7	with	with	ADP
ijassa-803	7	8	the	the	DET
ijassa-803	7	9	correlation	correlation	NOUN
ijassa-803	7	10	between	between	ADP
ijassa-803	7	11	the	the	DET
ijassa-803	7	12	data	data	NOUN
ijassa-803	7	13	points	point	NOUN
ijassa-803	7	14	.	.	PUNCT
ijassa-803	8	1	however	however	ADV
ijassa-803	8	2	,	,	PUNCT
ijassa-803	8	3	model	model	NOUN
ijassa-803	8	4	sparsity	sparsity	NOUN
ijassa-803	8	5	may	may	AUX
ijassa-803	8	6	be	be	AUX
ijassa-803	8	7	constricting	constrict	VERB
ijassa-803	8	8	and	and	CCONJ
ijassa-803	8	9	not	not	PART
ijassa-803	8	10	essentially	essentially	ADV
ijassa-803	8	11	the	the	DET
ijassa-803	8	12	foremost	foremost	ADJ
ijassa-803	8	13	applicable	applicable	ADJ
ijassa-803	8	14	assumption	assumption	NOUN
ijassa-803	8	15	in	in	ADP
ijassa-803	8	16	several	several	ADJ
ijassa-803	8	17	problem	problem	NOUN
ijassa-803	8	18	domains	domain	NOUN
ijassa-803	8	19	.	.	PUNCT
ijassa-803	9	1	to	to	PART
ijassa-803	9	2	eliminate	eliminate	VERB
ijassa-803	9	3	this	this	DET
ijassa-803	9	4	limitation	limitation	NOUN
ijassa-803	9	5	,	,	PUNCT
ijassa-803	9	6	an	an	DET
ijassa-803	9	7	enriched	enriched	ADJ
ijassa-803	9	8	lasso	lasso	NOUN
ijassa-803	9	9	(	(	PUNCT
ijassa-803	9	10	mlasso	mlasso	PROPN
ijassa-803	9	11	)	)	PUNCT
ijassa-803	9	12	is	be	AUX
ijassa-803	9	13	proposed	propose	VERB
ijassa-803	9	14	for	for	ADP
ijassa-803	9	15	compression	compression	NOUN
ijassa-803	9	16	bearing	bear	VERB
ijassa-803	9	17	in	in	ADP
ijassa-803	9	18	mind	mind	NOUN
ijassa-803	9	19	both	both	CCONJ
ijassa-803	9	20	sparsity	sparsity	NOUN
ijassa-803	9	21	and	and	CCONJ
ijassa-803	9	22	correlation	correlation	NOUN
ijassa-803	9	23	.	.	PUNCT
ijassa-803	10	1	in	in	ADP
ijassa-803	10	2	specific	specific	ADJ
ijassa-803	10	3	the	the	DET
ijassa-803	10	4	strategy	strategy	NOUN
ijassa-803	10	5	can	can	AUX
ijassa-803	10	6	select	select	VERB
ijassa-803	10	7	data	datum	NOUN
ijassa-803	10	8	that	that	PRON
ijassa-803	10	9	are	be	AUX
ijassa-803	10	10	having	have	VERB
ijassa-803	10	11	strong	strong	ADJ
ijassa-803	10	12	features	feature	NOUN
ijassa-803	10	13	to	to	PART
ijassa-803	10	14	reconstruct	reconstruct	VERB
ijassa-803	10	15	the	the	DET
ijassa-803	10	16	data	datum	NOUN
ijassa-803	10	17	and	and	CCONJ
ijassa-803	10	18	are	be	AUX
ijassa-803	10	19	less	less	ADV
ijassa-803	10	20	correlated	correlate	VERB
ijassa-803	10	21	between	between	ADP
ijassa-803	10	22	each	each	DET
ijassa-803	10	23	other	other	ADJ
ijassa-803	10	24	.	.	PUNCT
ijassa-803	11	1	furthermore	furthermore	ADV
ijassa-803	11	2	,	,	PUNCT
ijassa-803	11	3	an	an	DET
ijassa-803	11	4	efficient	efficient	ADJ
ijassa-803	11	5	alternating	alternating	NOUN
ijassa-803	11	6	direction	direction	NOUN
ijassa-803	11	7	method	method	NOUN
ijassa-803	11	8	of	of	ADP
ijassa-803	11	9	multipliers	multiplier	NOUN
ijassa-803	11	10	(	(	PUNCT
ijassa-803	11	11	admm	admm	NOUN
ijassa-803	11	12	)	)	PUNCT
ijassa-803	11	13	is	be	AUX
ijassa-803	11	14	adopted	adopt	VERB
ijassa-803	11	15	to	to	PART
ijassa-803	11	16	resolve	resolve	VERB
ijassa-803	11	17	the	the	DET
ijassa-803	11	18	ensuing	ensue	VERB
ijassa-803	11	19	sparse	sparse	ADJ
ijassa-803	11	20	non	non	ADJ
ijassa-803	11	21	-	-	ADJ
ijassa-803	11	22	convex	convex	ADJ
ijassa-803	11	23	optimization	optimization	NOUN
ijassa-803	11	24	problem	problem	NOUN
ijassa-803	11	25	.	.	PUNCT
ijassa-803	12	1	extensive	extensive	ADJ
ijassa-803	12	2	experiments	experiment	NOUN
ijassa-803	12	3	on	on	ADP
ijassa-803	12	4	diverse	diverse	ADJ
ijassa-803	12	5	datasets	dataset	NOUN
ijassa-803	12	6	provides	provide	VERB
ijassa-803	12	7	the	the	DET
ijassa-803	12	8	proof	proof	NOUN
ijassa-803	12	9	that	that	SCONJ
ijassa-803	12	10	mlasso	mlasso	PROPN
ijassa-803	12	11	outperforms	outperform	VERB
ijassa-803	12	12	other	other	ADJ
ijassa-803	12	13	similar	similar	ADJ
ijassa-803	12	14	algorithms	algorithm	NOUN
ijassa-803	12	15	for	for	ADP
ijassa-803	12	16	signal	signal	ADJ
ijassa-803	12	17	compression	compression	NOUN
ijassa-803	12	18	.	.	PUNCT
ijassa-803	13	1	thus	thus	ADV
ijassa-803	13	2	the	the	DET
ijassa-803	13	3	proposed	propose	VERB
ijassa-803	13	4	method	method	NOUN
ijassa-803	13	5	ensures	ensure	VERB
ijassa-803	13	6	less	less	ADJ
ijassa-803	13	7	energy	energy	NOUN
ijassa-803	13	8	consumption	consumption	NOUN
ijassa-803	13	9	,	,	PUNCT
ijassa-803	13	10	decreases	decrease	VERB
ijassa-803	13	11	power	power	NOUN
ijassa-803	13	12	loss	loss	NOUN
ijassa-803	13	13	and	and	CCONJ
ijassa-803	13	14	improves	improve	VERB
ijassa-803	13	15	the	the	DET
ijassa-803	13	16	operational	operational	ADJ
ijassa-803	13	17	life	life	NOUN
ijassa-803	13	18	and	and	CCONJ
ijassa-803	13	19	reliability	reliability	NOUN
ijassa-803	13	20	of	of	ADP
ijassa-803	13	21	network	network	NOUN
ijassa-803	13	22	components	component	NOUN
ijassa-803	13	23	.	.	PUNCT
ijassa-803	14	1	keywords	keyword	NOUN
ijassa-803	14	2	:	:	PUNCT
ijassa-803	14	3	multidimensional	multidimensional	ADJ
ijassa-803	14	4	data	datum	NOUN
ijassa-803	14	5	,	,	PUNCT
ijassa-803	14	6	compression	compression	NOUN
ijassa-803	14	7	,	,	PUNCT
ijassa-803	14	8	energy	energy	NOUN
ijassa-803	14	9	efficiency	efficiency	NOUN
ijassa-803	14	10	,	,	PUNCT
ijassa-803	14	11	senor	senor	PROPN
ijassa-803	14	12	networks	network	NOUN
ijassa-803	14	13	,	,	PUNCT
ijassa-803	14	14	lossy	lossy	ADJ
ijassa-803	14	15	compression	compression	NOUN
ijassa-803	14	16	1	1	NUM
ijassa-803	14	17	.	.	PUNCT
ijassa-803	14	18	introduction	introduction	NOUN
ijassa-803	14	19	in	in	ADP
ijassa-803	14	20	current	current	ADJ
ijassa-803	14	21	scenario	scenario	NOUN
ijassa-803	14	22	,	,	PUNCT
ijassa-803	14	23	there	there	PRON
ijassa-803	14	24	is	be	VERB
ijassa-803	14	25	an	an	DET
ijassa-803	14	26	immense	immense	ADJ
ijassa-803	14	27	development	development	NOUN
ijassa-803	14	28	in	in	ADP
ijassa-803	14	29	usage	usage	NOUN
ijassa-803	14	30	of	of	ADP
ijassa-803	14	31	mobile	mobile	ADJ
ijassa-803	14	32	technologies	technology	NOUN
ijassa-803	14	33	and	and	CCONJ
ijassa-803	14	34	remote	remote	ADJ
ijassa-803	14	35	sensing	sense	VERB
ijassa-803	14	36	devices	device	NOUN
ijassa-803	14	37	.	.	PUNCT
ijassa-803	15	1	progresses	progress	NOUN
ijassa-803	15	2	in	in	ADP
ijassa-803	15	3	compact	compact	ADJ
ijassa-803	15	4	hardware	hardware	NOUN
ijassa-803	15	5	and	and	CCONJ
ijassa-803	15	6	sensing	sense	VERB
ijassa-803	15	7	devices	device	NOUN
ijassa-803	15	8	aided	aid	VERB
ijassa-803	15	9	to	to	PART
ijassa-803	15	10	impart	impart	VERB
ijassa-803	15	11	them	they	PRON
ijassa-803	15	12	into	into	ADP
ijassa-803	15	13	every	every	DET
ijassa-803	15	14	object	object	NOUN
ijassa-803	15	15	leading	lead	VERB
ijassa-803	15	16	to	to	ADP
ijassa-803	15	17	internet	internet	NOUN
ijassa-803	15	18	of	of	ADP
ijassa-803	15	19	things	thing	NOUN
ijassa-803	15	20	(	(	PUNCT
ijassa-803	15	21	iot	iot	NOUN
ijassa-803	15	22	)	)	PUNCT
ijassa-803	16	1	[	[	X
ijassa-803	16	2	1	1	NUM
ijassa-803	16	3	]	]	PUNCT
ijassa-803	16	4	.	.	PUNCT
ijassa-803	17	1	large	large	ADJ
ijassa-803	17	2	scale	scale	NOUN
ijassa-803	17	3	wireless	wireless	ADJ
ijassa-803	17	4	sensor	sensor	NOUN
ijassa-803	17	5	networks	network	NOUN
ijassa-803	17	6	(	(	PUNCT
ijassa-803	17	7	wsns	wsns	NOUN
ijassa-803	17	8	)	)	PUNCT
ijassa-803	17	9	are	be	AUX
ijassa-803	17	10	employed	employ	VERB
ijassa-803	17	11	to	to	PART
ijassa-803	17	12	acquire	acquire	VERB
ijassa-803	17	13	and	and	CCONJ
ijassa-803	17	14	collect	collect	VERB
ijassa-803	17	15	the	the	DET
ijassa-803	17	16	data	datum	NOUN
ijassa-803	17	17	from	from	ADP
ijassa-803	17	18	different	different	ADJ
ijassa-803	17	19	envia	envia	PROPN
ijassa-803	17	20	novel	novel	ADJ
ijassa-803	17	21	enriched	enrich	VERB
ijassa-803	17	22	lasso	lasso	NOUN
ijassa-803	17	23	based	base	VERB
ijassa-803	17	24	compression	compression	NOUN
ijassa-803	17	25	technique	technique	NOUN
ijassa-803	17	26	for	for	ADP
ijassa-803	17	27	energy	energy	NOUN
ijassa-803	17	28	efficient	efficient	ADJ
ijassa-803	17	29	wireless	wireless	NOUN
ijassa-803	17	30	sensor	sensor	NOUN
ijassa-803	17	31	networks	network	VERB
ijassa-803	17	32	67	67	NUM
ijassa-803	17	33	copyright	copyright	NOUN
ijassa-803	17	34	©	©	PROPN
ijassa-803	17	35	2020	2020	NUM
ijassa-803	17	36	assa	assa	PROPN
ijassa-803	17	37	adv	adv	PROPN
ijassa-803	17	38	.	.	PUNCT
ijassa-803	18	1	in	in	ADP
ijassa-803	18	2	systems	system	NOUN
ijassa-803	18	3	science	science	NOUN
ijassa-803	18	4	and	and	CCONJ
ijassa-803	18	5	appl	appl	NOUN
ijassa-803	18	6	.	.	PUNCT
ijassa-803	19	1	(	(	PUNCT
ijassa-803	19	2	2020	2020	NUM
ijassa-803	19	3	)	)	PUNCT
ijassa-803	19	4	ronments	ronment	NOUN
ijassa-803	19	5	and	and	CCONJ
ijassa-803	19	6	objects	object	NOUN
ijassa-803	19	7	.	.	PUNCT
ijassa-803	20	1	they	they	PRON
ijassa-803	20	2	are	be	AUX
ijassa-803	20	3	communicated	communicate	VERB
ijassa-803	20	4	to	to	ADP
ijassa-803	20	5	a	a	DET
ijassa-803	20	6	data	data	NOUN
ijassa-803	20	7	acquisition	acquisition	NOUN
ijassa-803	20	8	center	center	NOUN
ijassa-803	20	9	for	for	ADP
ijassa-803	20	10	monitoring	monitoring	NOUN
ijassa-803	20	11	and	and	CCONJ
ijassa-803	20	12	surveillance	surveillance	NOUN
ijassa-803	20	13	.	.	PUNCT
ijassa-803	21	1	the	the	DET
ijassa-803	21	2	application	application	NOUN
ijassa-803	21	3	of	of	ADP
ijassa-803	21	4	wsns	wsns	NOUN
ijassa-803	21	5	embrace	embrace	NOUN
ijassa-803	21	6	environmental	environmental	ADJ
ijassa-803	21	7	monitoring	monitoring	NOUN
ijassa-803	21	8	[	[	X
ijassa-803	21	9	2	2	NUM
ijassa-803	21	10	]	]	PUNCT
ijassa-803	21	11	,	,	PUNCT
ijassa-803	21	12	remote	remote	ADJ
ijassa-803	21	13	patient	patient	ADJ
ijassa-803	21	14	monitoring	monitoring	NOUN
ijassa-803	21	15	in	in	ADP
ijassa-803	21	16	healthcare	healthcare	NOUN
ijassa-803	21	17	[	[	X
ijassa-803	21	18	3	3	NUM
ijassa-803	21	19	]	]	PUNCT
ijassa-803	21	20	,	,	PUNCT
ijassa-803	21	21	animal	animal	NOUN
ijassa-803	21	22	behavior	behavior	NOUN
ijassa-803	21	23	classification	classification	NOUN
ijassa-803	21	24	[	[	X
ijassa-803	21	25	4	4	NUM
ijassa-803	21	26	]	]	PUNCT
ijassa-803	21	27	,	,	PUNCT
ijassa-803	21	28	smart	smart	ADJ
ijassa-803	21	29	grid	grid	NOUN
ijassa-803	21	30	[	[	X
ijassa-803	21	31	5	5	NUM
ijassa-803	21	32	]	]	PUNCT
ijassa-803	21	33	and	and	CCONJ
ijassa-803	21	34	structural	structural	ADJ
ijassa-803	21	35	health	health	NOUN
ijassa-803	21	36	monitoring	monitoring	NOUN
ijassa-803	21	37	for	for	ADP
ijassa-803	21	38	infrastructures	infrastructure	NOUN
ijassa-803	21	39	[	[	X
ijassa-803	21	40	6	6	NUM
ijassa-803	21	41	]	]	PUNCT
ijassa-803	21	42	.	.	PUNCT
ijassa-803	22	1	the	the	DET
ijassa-803	22	2	efficiency	efficiency	NOUN
ijassa-803	22	3	and	and	CCONJ
ijassa-803	22	4	the	the	DET
ijassa-803	22	5	results	result	NOUN
ijassa-803	22	6	of	of	ADP
ijassa-803	22	7	the	the	DET
ijassa-803	22	8	applications	application	NOUN
ijassa-803	22	9	depend	depend	VERB
ijassa-803	22	10	on	on	ADP
ijassa-803	22	11	the	the	DET
ijassa-803	22	12	amount	amount	NOUN
ijassa-803	22	13	of	of	ADP
ijassa-803	22	14	data	datum	NOUN
ijassa-803	22	15	and	and	CCONJ
ijassa-803	22	16	the	the	DET
ijassa-803	22	17	acquisition	acquisition	NOUN
ijassa-803	22	18	speed	speed	NOUN
ijassa-803	22	19	of	of	ADP
ijassa-803	22	20	sensors	sensor	NOUN
ijassa-803	22	21	.	.	PUNCT
ijassa-803	23	1	more	more	ADJ
ijassa-803	23	2	data	datum	NOUN
ijassa-803	23	3	at	at	ADP
ijassa-803	23	4	high	high	ADJ
ijassa-803	23	5	speed	speed	NOUN
ijassa-803	23	6	will	will	AUX
ijassa-803	23	7	help	help	VERB
ijassa-803	23	8	the	the	DET
ijassa-803	23	9	application	application	NOUN
ijassa-803	23	10	to	to	PART
ijassa-803	23	11	perform	perform	VERB
ijassa-803	23	12	efficiently	efficiently	ADV
ijassa-803	23	13	.	.	PUNCT
ijassa-803	24	1	the	the	DET
ijassa-803	24	2	same	same	ADJ
ijassa-803	24	3	can	can	AUX
ijassa-803	24	4	be	be	AUX
ijassa-803	24	5	realized	realize	VERB
ijassa-803	24	6	by	by	ADP
ijassa-803	24	7	higher	high	ADJ
ijassa-803	24	8	sampling	sampling	NOUN
ijassa-803	24	9	speed	speed	NOUN
ijassa-803	24	10	that	that	PRON
ijassa-803	24	11	ends	end	VERB
ijassa-803	24	12	up	up	ADP
ijassa-803	24	13	with	with	ADP
ijassa-803	24	14	large	large	ADJ
ijassa-803	24	15	volume	volume	NOUN
ijassa-803	24	16	of	of	ADP
ijassa-803	24	17	raw	raw	ADJ
ijassa-803	24	18	data	datum	NOUN
ijassa-803	24	19	from	from	ADP
ijassa-803	24	20	sensors	sensor	NOUN
ijassa-803	24	21	.	.	PUNCT
ijassa-803	25	1	thus	thus	ADV
ijassa-803	25	2	the	the	DET
ijassa-803	25	3	network	network	NOUN
ijassa-803	25	4	needs	need	VERB
ijassa-803	25	5	more	more	ADJ
ijassa-803	25	6	energy	energy	NOUN
ijassa-803	25	7	for	for	ADP
ijassa-803	25	8	transmitting	transmit	VERB
ijassa-803	25	9	and	and	CCONJ
ijassa-803	25	10	huge	huge	ADJ
ijassa-803	25	11	memory	memory	NOUN
ijassa-803	25	12	for	for	ADP
ijassa-803	25	13	storage	storage	NOUN
ijassa-803	25	14	.	.	PUNCT
ijassa-803	26	1	each	each	DET
ijassa-803	26	2	battery	battery	NOUN
ijassa-803	26	3	supplying	supply	VERB
ijassa-803	26	4	energy	energy	NOUN
ijassa-803	26	5	to	to	ADP
ijassa-803	26	6	the	the	DET
ijassa-803	26	7	sensor	sensor	NOUN
ijassa-803	26	8	nodes	node	NOUN
ijassa-803	26	9	have	have	AUX
ijassa-803	26	10	limited	limit	VERB
ijassa-803	26	11	stored	store	VERB
ijassa-803	26	12	energy	energy	NOUN
ijassa-803	26	13	and	and	CCONJ
ijassa-803	26	14	it	it	PRON
ijassa-803	26	15	is	be	AUX
ijassa-803	26	16	challenging	challenge	VERB
ijassa-803	26	17	to	to	PART
ijassa-803	26	18	recharge	recharge	VERB
ijassa-803	26	19	or	or	CCONJ
ijassa-803	26	20	replace	replace	VERB
ijassa-803	26	21	.	.	PUNCT
ijassa-803	27	1	as	as	ADP
ijassa-803	27	2	per	per	ADP
ijassa-803	27	3	kimura	kimura	NOUN
ijassa-803	27	4	and	and	CCONJ
ijassa-803	27	5	latifi	latifi	NOUN
ijassa-803	27	6	[	[	X
ijassa-803	27	7	7	7	X
ijassa-803	27	8	]	]	PUNCT
ijassa-803	27	9	each	each	DET
ijassa-803	27	10	remote	remote	ADJ
ijassa-803	27	11	sensor	sensor	NOUN
ijassa-803	27	12	consumes	consume	VERB
ijassa-803	27	13	80	80	NUM
ijassa-803	27	14	%	%	NOUN
ijassa-803	27	15	of	of	ADP
ijassa-803	27	16	battery	battery	NOUN
ijassa-803	27	17	capacity	capacity	NOUN
ijassa-803	27	18	for	for	ADP
ijassa-803	27	19	data	data	NOUN
ijassa-803	27	20	transmission	transmission	NOUN
ijassa-803	27	21	.	.	PUNCT
ijassa-803	28	1	the	the	DET
ijassa-803	28	2	results	result	NOUN
ijassa-803	28	3	presented	present	VERB
ijassa-803	28	4	by	by	ADP
ijassa-803	28	5	barr	barr	PROPN
ijassa-803	28	6	and	and	CCONJ
ijassa-803	28	7	asanovic	asanovic	PROPN
ijassa-803	28	8	[	[	X
ijassa-803	28	9	8	8	NUM
ijassa-803	28	10	]	]	PUNCT
ijassa-803	28	11	provides	provide	VERB
ijassa-803	28	12	the	the	DET
ijassa-803	28	13	evidence	evidence	NOUN
ijassa-803	28	14	that	that	SCONJ
ijassa-803	28	15	the	the	DET
ijassa-803	28	16	energy	energy	NOUN
ijassa-803	28	17	consumed	consume	VERB
ijassa-803	28	18	by	by	ADP
ijassa-803	28	19	the	the	DET
ijassa-803	28	20	network	network	NOUN
ijassa-803	28	21	for	for	ADP
ijassa-803	28	22	transmitting	transmit	VERB
ijassa-803	28	23	a	a	DET
ijassa-803	28	24	single	single	ADJ
ijassa-803	28	25	bit	bit	NOUN
ijassa-803	28	26	of	of	ADP
ijassa-803	28	27	information	information	NOUN
ijassa-803	28	28	is	be	AUX
ijassa-803	28	29	almost	almost	ADV
ijassa-803	28	30	same	same	ADJ
ijassa-803	28	31	as	as	ADP
ijassa-803	28	32	that	that	PRON
ijassa-803	28	33	required	require	VERB
ijassa-803	28	34	by	by	ADP
ijassa-803	28	35	the	the	DET
ijassa-803	28	36	processing	processing	NOUN
ijassa-803	28	37	unit	unit	NOUN
ijassa-803	28	38	for	for	ADP
ijassa-803	28	39	performing	perform	VERB
ijassa-803	28	40	thousands	thousand	NOUN
ijassa-803	28	41	of	of	ADP
ijassa-803	28	42	computing	compute	VERB
ijassa-803	28	43	operations	operation	NOUN
ijassa-803	28	44	.	.	PUNCT
ijassa-803	29	1	also	also	ADV
ijassa-803	29	2	more	more	ADJ
ijassa-803	29	3	energy	energy	NOUN
ijassa-803	29	4	consumption	consumption	NOUN
ijassa-803	29	5	lead	lead	NOUN
ijassa-803	29	6	to	to	ADP
ijassa-803	29	7	more	more	ADJ
ijassa-803	29	8	heating	heating	NOUN
ijassa-803	29	9	of	of	ADP
ijassa-803	29	10	sensor	sensor	NOUN
ijassa-803	29	11	nodes	node	NOUN
ijassa-803	29	12	and	and	CCONJ
ijassa-803	29	13	thus	thus	ADV
ijassa-803	29	14	reduce	reduce	VERB
ijassa-803	29	15	the	the	DET
ijassa-803	29	16	life	life	NOUN
ijassa-803	29	17	.	.	PUNCT
ijassa-803	30	1	thus	thus	ADV
ijassa-803	30	2	it	it	PRON
ijassa-803	30	3	becomes	become	VERB
ijassa-803	30	4	a	a	DET
ijassa-803	30	5	big	big	ADJ
ijassa-803	30	6	challenge	challenge	NOUN
ijassa-803	30	7	to	to	PART
ijassa-803	30	8	manage	manage	VERB
ijassa-803	30	9	equipment	equipment	NOUN
ijassa-803	30	10	life	life	NOUN
ijassa-803	30	11	,	,	PUNCT
ijassa-803	30	12	operate	operate	VERB
ijassa-803	30	13	and	and	CCONJ
ijassa-803	30	14	maintain	maintain	VERB
ijassa-803	30	15	the	the	DET
ijassa-803	30	16	data	datum	NOUN
ijassa-803	30	17	acquisition	acquisition	NOUN
ijassa-803	30	18	and	and	CCONJ
ijassa-803	30	19	storage	storage	NOUN
ijassa-803	30	20	systems	system	NOUN
ijassa-803	30	21	in	in	ADP
ijassa-803	30	22	application	application	NOUN
ijassa-803	30	23	scenarios	scenario	NOUN
ijassa-803	30	24	.	.	PUNCT
ijassa-803	31	1	the	the	DET
ijassa-803	31	2	energy	energy	NOUN
ijassa-803	31	3	requirements	requirement	NOUN
ijassa-803	31	4	can	can	AUX
ijassa-803	31	5	be	be	AUX
ijassa-803	31	6	regulated	regulate	VERB
ijassa-803	31	7	by	by	ADP
ijassa-803	31	8	adopting	adopt	VERB
ijassa-803	31	9	procedures	procedure	NOUN
ijassa-803	31	10	at	at	ADP
ijassa-803	31	11	various	various	ADJ
ijassa-803	31	12	sections	section	NOUN
ijassa-803	31	13	of	of	ADP
ijassa-803	31	14	wsn	wsn	PROPN
ijassa-803	31	15	protocol	protocol	NOUN
ijassa-803	31	16	stack	stack	NOUN
ijassa-803	31	17	[	[	X
ijassa-803	31	18	9	9	NUM
ijassa-803	31	19	-	-	SYM
ijassa-803	31	20	12	12	NUM
ijassa-803	31	21	]	]	PUNCT
ijassa-803	31	22	by	by	ADP
ijassa-803	31	23	energy	energy	NOUN
ijassa-803	31	24	efficient	efficient	ADJ
ijassa-803	31	25	routing	routing	NOUN
ijassa-803	31	26	[	[	X
ijassa-803	31	27	13	13	NUM
ijassa-803	31	28	]	]	PUNCT
ijassa-803	31	29	and	and	CCONJ
ijassa-803	31	30	battery	battery	NOUN
ijassa-803	31	31	saving	save	VERB
ijassa-803	31	32	media	medium	NOUN
ijassa-803	31	33	access	access	NOUN
ijassa-803	31	34	control	control	NOUN
ijassa-803	32	1	[	[	X
ijassa-803	32	2	14	14	NUM
ijassa-803	32	3	]	]	PUNCT
ijassa-803	32	4	.	.	PUNCT
ijassa-803	33	1	a	a	DET
ijassa-803	33	2	packet	packet	NOUN
ijassa-803	33	3	forwarding	forwarding	NOUN
ijassa-803	33	4	protocol	protocol	NOUN
ijassa-803	33	5	is	be	AUX
ijassa-803	33	6	presented	present	VERB
ijassa-803	33	7	by	by	ADP
ijassa-803	33	8	l.	l.	PROPN
ijassa-803	33	9	zhang	zhang	PROPN
ijassa-803	33	10	and	and	CCONJ
ijassa-803	33	11	y.	y.	PROPN
ijassa-803	33	12	zhang	zhang	PROPN
ijassa-803	34	1	[	[	X
ijassa-803	34	2	15	15	NUM
ijassa-803	34	3	]	]	PUNCT
ijassa-803	34	4	and	and	CCONJ
ijassa-803	34	5	proved	prove	VERB
ijassa-803	34	6	as	as	ADP
ijassa-803	34	7	energy	energy	NOUN
ijassa-803	34	8	efficient	efficient	ADJ
ijassa-803	34	9	.	.	PUNCT
ijassa-803	35	1	the	the	DET
ijassa-803	35	2	other	other	ADJ
ijassa-803	35	3	approaches	approach	NOUN
ijassa-803	35	4	involved	involve	VERB
ijassa-803	35	5	in	in	ADP
ijassa-803	35	6	improving	improve	VERB
ijassa-803	35	7	the	the	DET
ijassa-803	35	8	life	life	NOUN
ijassa-803	35	9	of	of	ADP
ijassa-803	35	10	networks	network	NOUN
ijassa-803	35	11	includes	include	VERB
ijassa-803	35	12	sample	sample	NOUN
ijassa-803	35	13	data	datum	NOUN
ijassa-803	35	14	reduction	reduction	NOUN
ijassa-803	35	15	,	,	PUNCT
ijassa-803	35	16	battery	battery	NOUN
ijassa-803	35	17	replacement	replacement	NOUN
ijassa-803	35	18	and	and	CCONJ
ijassa-803	35	19	data	datum	NOUN
ijassa-803	35	20	compression	compression	NOUN
ijassa-803	36	1	[	[	X
ijassa-803	36	2	16	16	NUM
ijassa-803	36	3	]	]	PUNCT
ijassa-803	36	4	.	.	PUNCT
ijassa-803	37	1	the	the	DET
ijassa-803	37	2	perspective	perspective	NOUN
ijassa-803	37	3	of	of	ADP
ijassa-803	37	4	this	this	DET
ijassa-803	37	5	work	work	NOUN
ijassa-803	37	6	given	give	VERB
ijassa-803	37	7	in	in	ADP
ijassa-803	37	8	this	this	DET
ijassa-803	37	9	paper	paper	NOUN
ijassa-803	37	10	is	be	AUX
ijassa-803	37	11	to	to	PART
ijassa-803	37	12	reduce	reduce	VERB
ijassa-803	37	13	transmission	transmission	NOUN
ijassa-803	37	14	of	of	ADP
ijassa-803	37	15	data	datum	NOUN
ijassa-803	37	16	by	by	ADP
ijassa-803	37	17	introducing	introduce	VERB
ijassa-803	37	18	effective	effective	ADJ
ijassa-803	37	19	data	datum	NOUN
ijassa-803	37	20	compression	compression	NOUN
ijassa-803	37	21	.	.	PUNCT
ijassa-803	38	1	in	in	ADP
ijassa-803	38	2	general	general	ADJ
ijassa-803	38	3	there	there	PRON
ijassa-803	38	4	are	be	VERB
ijassa-803	38	5	two	two	NUM
ijassa-803	38	6	methods	method	NOUN
ijassa-803	38	7	of	of	ADP
ijassa-803	38	8	data	datum	NOUN
ijassa-803	38	9	processing	processing	NOUN
ijassa-803	38	10	that	that	PRON
ijassa-803	38	11	will	will	AUX
ijassa-803	38	12	result	result	VERB
ijassa-803	38	13	in	in	ADP
ijassa-803	38	14	reduction	reduction	NOUN
ijassa-803	38	15	[	[	X
ijassa-803	38	16	17	17	NUM
ijassa-803	38	17	]	]	PUNCT
ijassa-803	38	18	data	data	NOUN
ijassa-803	38	19	aggregation	aggregation	NOUN
ijassa-803	38	20	and	and	CCONJ
ijassa-803	38	21	data	datum	NOUN
ijassa-803	38	22	approximation	approximation	NOUN
ijassa-803	38	23	.	.	PUNCT
ijassa-803	39	1	aggregation	aggregation	NOUN
ijassa-803	39	2	methods	method	NOUN
ijassa-803	39	3	use	use	VERB
ijassa-803	39	4	statistical	statistical	ADJ
ijassa-803	39	5	data	datum	NOUN
ijassa-803	39	6	such	such	ADJ
ijassa-803	39	7	as	as	ADP
ijassa-803	39	8	minimum	minimum	ADJ
ijassa-803	39	9	,	,	PUNCT
ijassa-803	39	10	maximum	maximum	ADJ
ijassa-803	39	11	and	and	CCONJ
ijassa-803	39	12	average	average	ADJ
ijassa-803	39	13	and	and	CCONJ
ijassa-803	39	14	effectively	effectively	ADV
ijassa-803	39	15	reduces	reduce	VERB
ijassa-803	39	16	the	the	DET
ijassa-803	39	17	data	datum	NOUN
ijassa-803	39	18	size	size	NOUN
ijassa-803	39	19	but	but	CCONJ
ijassa-803	39	20	fails	fail	VERB
ijassa-803	39	21	to	to	PART
ijassa-803	39	22	capture	capture	VERB
ijassa-803	39	23	the	the	DET
ijassa-803	39	24	important	important	ADJ
ijassa-803	39	25	trends	trend	NOUN
ijassa-803	39	26	and	and	CCONJ
ijassa-803	39	27	changes	change	NOUN
ijassa-803	39	28	in	in	ADP
ijassa-803	39	29	data	datum	NOUN
ijassa-803	39	30	required	require	VERB
ijassa-803	39	31	for	for	ADP
ijassa-803	39	32	arriving	arrive	VERB
ijassa-803	39	33	results	result	NOUN
ijassa-803	39	34	.	.	PUNCT
ijassa-803	40	1	data	datum	NOUN
ijassa-803	40	2	approximation	approximation	NOUN
ijassa-803	40	3	is	be	AUX
ijassa-803	40	4	a	a	DET
ijassa-803	40	5	model	model	NOUN
ijassa-803	40	6	based	base	VERB
ijassa-803	40	7	method	method	NOUN
ijassa-803	40	8	and	and	CCONJ
ijassa-803	40	9	will	will	AUX
ijassa-803	40	10	not	not	PART
ijassa-803	40	11	disturb	disturb	VERB
ijassa-803	40	12	the	the	DET
ijassa-803	40	13	actual	actual	ADJ
ijassa-803	40	14	information	information	NOUN
ijassa-803	40	15	,	,	PUNCT
ijassa-803	40	16	if	if	SCONJ
ijassa-803	40	17	the	the	DET
ijassa-803	40	18	data	data	NOUN
ijassa-803	40	19	feed	feed	NOUN
ijassa-803	40	20	contains	contain	VERB
ijassa-803	40	21	large	large	ADJ
ijassa-803	40	22	amount	amount	NOUN
ijassa-803	40	23	of	of	ADP
ijassa-803	40	24	redundancy	redundancy	NOUN
ijassa-803	40	25	.	.	PUNCT
ijassa-803	41	1	based	base	VERB
ijassa-803	41	2	on	on	ADP
ijassa-803	41	3	the	the	DET
ijassa-803	41	4	method	method	NOUN
ijassa-803	41	5	and	and	CCONJ
ijassa-803	41	6	purpose	purpose	NOUN
ijassa-803	41	7	of	of	ADP
ijassa-803	41	8	application	application	NOUN
ijassa-803	41	9	,	,	PUNCT
ijassa-803	41	10	the	the	DET
ijassa-803	41	11	approximation	approximation	NOUN
ijassa-803	41	12	method	method	NOUN
ijassa-803	41	13	are	be	AUX
ijassa-803	41	14	categorized	categorize	VERB
ijassa-803	41	15	as	as	ADP
ijassa-803	41	16	time	time	NOUN
ijassa-803	41	17	series	series	NOUN
ijassa-803	41	18	analysis	analysis	NOUN
ijassa-803	41	19	[	[	X
ijassa-803	41	20	18	18	NUM
ijassa-803	41	21	-	-	SYM
ijassa-803	41	22	20	20	NUM
ijassa-803	41	23	]	]	PUNCT
ijassa-803	41	24	,	,	PUNCT
ijassa-803	41	25	data	data	NOUN
ijassa-803	41	26	mining	mining	NOUN
ijassa-803	41	27	model	model	NOUN
ijassa-803	42	1	[	[	X
ijassa-803	42	2	21	21	NUM
ijassa-803	42	3	]	]	PUNCT
ijassa-803	42	4	,	,	PUNCT
ijassa-803	42	5	probabilistic	probabilistic	ADJ
ijassa-803	42	6	model	model	NOUN
ijassa-803	42	7	[	[	X
ijassa-803	42	8	22	22	NUM
ijassa-803	42	9	,	,	PUNCT
ijassa-803	42	10	23	23	NUM
ijassa-803	42	11	]	]	PUNCT
ijassa-803	42	12	and	and	CCONJ
ijassa-803	42	13	data	datum	NOUN
ijassa-803	42	14	compression	compression	NOUN
ijassa-803	43	1	[	[	X
ijassa-803	43	2	24	24	NUM
ijassa-803	43	3	-	-	SYM
ijassa-803	43	4	26	26	NUM
ijassa-803	43	5	]	]	PUNCT
ijassa-803	43	6	.	.	PUNCT
ijassa-803	44	1	data	datum	NOUN
ijassa-803	44	2	compression	compression	NOUN
ijassa-803	44	3	proves	prove	VERB
ijassa-803	44	4	to	to	PART
ijassa-803	44	5	be	be	AUX
ijassa-803	44	6	the	the	DET
ijassa-803	44	7	more	more	ADV
ijassa-803	44	8	favourable	favourable	ADJ
ijassa-803	44	9	technique	technique	NOUN
ijassa-803	44	10	that	that	PRON
ijassa-803	44	11	provides	provide	VERB
ijassa-803	44	12	good	good	ADJ
ijassa-803	44	13	data	datum	NOUN
ijassa-803	44	14	quality	quality	NOUN
ijassa-803	44	15	,	,	PUNCT
ijassa-803	44	16	best	good	ADJ
ijassa-803	44	17	of	of	ADP
ijassa-803	44	18	system	system	NOUN
ijassa-803	44	19	performance	performance	NOUN
ijassa-803	44	20	and	and	CCONJ
ijassa-803	44	21	significantly	significantly	ADV
ijassa-803	44	22	reduces	reduce	VERB
ijassa-803	44	23	the	the	DET
ijassa-803	44	24	energy	energy	NOUN
ijassa-803	44	25	consumption	consumption	NOUN
ijassa-803	44	26	of	of	ADP
ijassa-803	44	27	wsns	wsns	NOUN
ijassa-803	44	28	.	.	PUNCT
ijassa-803	45	1	embracing	embrace	VERB
ijassa-803	45	2	data	datum	NOUN
ijassa-803	45	3	compression	compression	NOUN
ijassa-803	45	4	algorithm	algorithm	NOUN
ijassa-803	45	5	in	in	ADP
ijassa-803	45	6	data	datum	NOUN
ijassa-803	45	7	storage	storage	NOUN
ijassa-803	45	8	and	and	CCONJ
ijassa-803	45	9	transmission	transmission	NOUN
ijassa-803	45	10	devours	devour	VERB
ijassa-803	45	11	some	some	DET
ijassa-803	45	12	energy	energy	NOUN
ijassa-803	45	13	to	to	PART
ijassa-803	45	14	compute	compute	VERB
ijassa-803	45	15	the	the	DET
ijassa-803	45	16	compression	compression	NOUN
ijassa-803	45	17	but	but	CCONJ
ijassa-803	45	18	it	it	PRON
ijassa-803	45	19	will	will	AUX
ijassa-803	45	20	be	be	AUX
ijassa-803	45	21	much	much	ADV
ijassa-803	45	22	less	less	ADJ
ijassa-803	45	23	than	than	ADP
ijassa-803	45	24	the	the	DET
ijassa-803	45	25	energy	energy	NOUN
ijassa-803	45	26	required	require	VERB
ijassa-803	45	27	for	for	ADP
ijassa-803	45	28	storage	storage	NOUN
ijassa-803	45	29	and	and	CCONJ
ijassa-803	45	30	transmission	transmission	NOUN
ijassa-803	45	31	.	.	PUNCT
ijassa-803	46	1	in	in	ADP
ijassa-803	46	2	literature	literature	NOUN
ijassa-803	46	3	numerous	numerous	ADJ
ijassa-803	46	4	algorithms	algorithm	NOUN
ijassa-803	46	5	and	and	CCONJ
ijassa-803	46	6	techniques	technique	NOUN
ijassa-803	46	7	have	have	AUX
ijassa-803	46	8	been	be	AUX
ijassa-803	46	9	offered	offer	VERB
ijassa-803	46	10	and	and	CCONJ
ijassa-803	46	11	their	their	PRON
ijassa-803	46	12	capability	capability	NOUN
ijassa-803	46	13	to	to	PART
ijassa-803	46	14	compress	compress	VERB
ijassa-803	46	15	the	the	DET
ijassa-803	46	16	time	time	NOUN
ijassa-803	46	17	series	series	PROPN
ijassa-803	46	18	data	data	PROPN
ijassa-803	46	19	is	be	AUX
ijassa-803	46	20	proven	prove	VERB
ijassa-803	46	21	and	and	CCONJ
ijassa-803	46	22	established	establish	VERB
ijassa-803	46	23	.	.	PUNCT
ijassa-803	47	1	however	however	ADV
ijassa-803	47	2	many	many	ADJ
ijassa-803	47	3	of	of	ADP
ijassa-803	47	4	them	they	PRON
ijassa-803	47	5	are	be	AUX
ijassa-803	47	6	derived	derive	VERB
ijassa-803	47	7	and	and	CCONJ
ijassa-803	47	8	tested	test	VERB
ijassa-803	47	9	for	for	ADP
ijassa-803	47	10	compression	compression	NOUN
ijassa-803	47	11	of	of	ADP
ijassa-803	47	12	single	single	ADJ
ijassa-803	47	13	variate	variate	NOUN
ijassa-803	47	14	sensor	sensor	NOUN
ijassa-803	47	15	data	datum	NOUN
ijassa-803	47	16	such	such	ADJ
ijassa-803	47	17	as	as	ADP
ijassa-803	47	18	temperature	temperature	NOUN
ijassa-803	47	19	,	,	PUNCT
ijassa-803	47	20	relative	relative	ADJ
ijassa-803	47	21	humidity	humidity	NOUN
ijassa-803	47	22	,	,	PUNCT
ijassa-803	47	23	etc	etc	X
ijassa-803	47	24	.	.	X
ijassa-803	47	25	in	in	ADP
ijassa-803	47	26	-	-	PUNCT
ijassa-803	47	27	spite	spite	NOUN
ijassa-803	47	28	of	of	ADP
ijassa-803	47	29	vast	vast	ADJ
ijassa-803	47	30	applications	application	NOUN
ijassa-803	47	31	of	of	ADP
ijassa-803	47	32	multivariate	multivariate	NOUN
ijassa-803	47	33	signals	signal	NOUN
ijassa-803	47	34	only	only	ADV
ijassa-803	47	35	few	few	ADJ
ijassa-803	47	36	literature	literature	NOUN
ijassa-803	47	37	works	work	NOUN
ijassa-803	47	38	are	be	AUX
ijassa-803	47	39	available	available	ADJ
ijassa-803	47	40	addressing	address	VERB
ijassa-803	47	41	the	the	DET
ijassa-803	47	42	issues	issue	NOUN
ijassa-803	47	43	in	in	ADP
ijassa-803	47	44	systems	system	NOUN
ijassa-803	47	45	used	use	VERB
ijassa-803	47	46	to	to	PART
ijassa-803	47	47	acquire	acquire	VERB
ijassa-803	47	48	,	,	PUNCT
ijassa-803	47	49	analyse	analyse	NOUN
ijassa-803	47	50	and	and	CCONJ
ijassa-803	47	51	store	store	NOUN
ijassa-803	47	52	multivariate	multivariate	NOUN
ijassa-803	47	53	signals	signal	NOUN
ijassa-803	47	54	.	.	PUNCT
ijassa-803	48	1	the	the	DET
ijassa-803	48	2	proposed	propose	VERB
ijassa-803	48	3	work	work	NOUN
ijassa-803	48	4	adopts	adopt	VERB
ijassa-803	48	5	an	an	DET
ijassa-803	48	6	algorithm	algorithm	NOUN
ijassa-803	48	7	based	base	VERB
ijassa-803	48	8	on	on	ADP
ijassa-803	48	9	lasso	lasso	NOUN
ijassa-803	48	10	approximation	approximation	NOUN
ijassa-803	48	11	,	,	PUNCT
ijassa-803	48	12	enriched	enrich	VERB
ijassa-803	48	13	lasso	lasso	NOUN
ijassa-803	48	14	(	(	PUNCT
ijassa-803	48	15	mlasso	mlasso	PROPN
ijassa-803	48	16	)	)	PUNCT
ijassa-803	48	17	that	that	PRON
ijassa-803	48	18	can	can	AUX
ijassa-803	48	19	compress	compress	VERB
ijassa-803	48	20	both	both	CCONJ
ijassa-803	48	21	multivariate	multivariate	NOUN
ijassa-803	48	22	and	and	CCONJ
ijassa-803	48	23	univariate	univariate	ADJ
ijassa-803	48	24	sensor	sensor	NOUN
ijassa-803	48	25	data	datum	NOUN
ijassa-803	48	26	.	.	PUNCT
ijassa-803	49	1	lasso	lasso	PROPN
ijassa-803	49	2	has	have	AUX
ijassa-803	49	3	proved	prove	VERB
ijassa-803	49	4	itself	itself	PRON
ijassa-803	49	5	very	very	ADV
ijassa-803	49	6	much	much	ADV
ijassa-803	49	7	suitable	suitable	ADJ
ijassa-803	49	8	for	for	ADP
ijassa-803	49	9	multidimensional	multidimensional	ADJ
ijassa-803	49	10	regression	regression	NOUN
ijassa-803	49	11	.	.	PUNCT
ijassa-803	50	1	lasso	lasso	NOUN
ijassa-803	50	2	assumes	assume	VERB
ijassa-803	50	3	that	that	SCONJ
ijassa-803	50	4	there	there	PRON
ijassa-803	50	5	is	be	VERB
ijassa-803	50	6	no	no	DET
ijassa-803	50	7	correlation	correlation	NOUN
ijassa-803	50	8	in	in	ADP
ijassa-803	50	9	input	input	NOUN
ijassa-803	50	10	data	datum	NOUN
ijassa-803	50	11	.	.	PUNCT
ijassa-803	51	1	but	but	CCONJ
ijassa-803	51	2	in	in	ADP
ijassa-803	51	3	wsns	wsns	NOUN
ijassa-803	51	4	,	,	PUNCT
ijassa-803	51	5	the	the	DET
ijassa-803	51	6	data	data	NOUN
ijassa-803	51	7	is	be	AUX
ijassa-803	51	8	captured	capture	VERB
ijassa-803	51	9	using	use	VERB
ijassa-803	51	10	different	different	ADJ
ijassa-803	51	11	sensor	sensor	NOUN
ijassa-803	51	12	units	unit	NOUN
ijassa-803	51	13	in	in	ADP
ijassa-803	51	14	a	a	DET
ijassa-803	51	15	node	node	NOUN
ijassa-803	51	16	.	.	PUNCT
ijassa-803	52	1	these	these	DET
ijassa-803	52	2	sensors	sensor	NOUN
ijassa-803	52	3	will	will	AUX
ijassa-803	52	4	at	at	ADP
ijassa-803	52	5	the	the	DET
ijassa-803	52	6	same	same	ADJ
ijassa-803	52	7	time	time	NOUN
ijassa-803	52	8	acquire	acquire	VERB
ijassa-803	52	9	many	many	ADJ
ijassa-803	52	10	types	type	NOUN
ijassa-803	52	11	of	of	ADP
ijassa-803	52	12	data	datum	NOUN
ijassa-803	52	13	,	,	PUNCT
ijassa-803	52	14	like	like	ADP
ijassa-803	52	15	sound	sound	NOUN
ijassa-803	52	16	intensity	intensity	NOUN
ijassa-803	52	17	,	,	PUNCT
ijassa-803	52	18	acceleration	acceleration	NOUN
ijassa-803	52	19	,	,	PUNCT
ijassa-803	52	20	temperature	temperature	NOUN
ijassa-803	52	21	,	,	PUNCT
ijassa-803	52	22	humidity	humidity	NOUN
ijassa-803	52	23	,	,	PUNCT
ijassa-803	52	24	light	light	ADJ
ijassa-803	52	25	intensity	intensity	NOUN
ijassa-803	52	26	,	,	PUNCT
ijassa-803	52	27	and	and	CCONJ
ijassa-803	52	28	video	video	NOUN
ijassa-803	52	29	.	.	PUNCT
ijassa-803	53	1	these	these	DET
ijassa-803	53	2	data	datum	NOUN
ijassa-803	53	3	used	use	VERB
ijassa-803	53	4	to	to	PART
ijassa-803	53	5	have	have	VERB
ijassa-803	53	6	certain	certain	ADJ
ijassa-803	53	7	correlation	correlation	NOUN
ijassa-803	53	8	.	.	PUNCT
ijassa-803	54	1	lasso	lasso	NOUN
ijassa-803	54	2	happens	happen	VERB
ijassa-803	54	3	to	to	PART
ijassa-803	54	4	select	select	VERB
ijassa-803	54	5	only	only	ADV
ijassa-803	54	6	one	one	NUM
ijassa-803	54	7	feature	feature	NOUN
ijassa-803	54	8	among	among	ADP
ijassa-803	54	9	the	the	DET
ijassa-803	54	10	correlated	correlate	VERB
ijassa-803	54	11	features	feature	NOUN
ijassa-803	54	12	and	and	CCONJ
ijassa-803	54	13	ends	end	VERB
ijassa-803	54	14	up	up	ADP
ijassa-803	54	15	in	in	ADP
ijassa-803	54	16	system	system	NOUN
ijassa-803	54	17	underperformance	underperformance	NOUN
ijassa-803	54	18	[	[	X
ijassa-803	54	19	27	27	NUM
ijassa-803	54	20	]	]	PUNCT
ijassa-803	54	21	.	.	PUNCT
ijassa-803	55	1	this	this	DET
ijassa-803	55	2	issue	issue	NOUN
ijassa-803	55	3	is	be	AUX
ijassa-803	55	4	addressed	address	VERB
ijassa-803	55	5	in	in	ADP
ijassa-803	55	6	the	the	DET
ijassa-803	55	7	enriched	enrich	VERB
ijassa-803	55	8	lasso	lasso	NOUN
ijassa-803	55	9	(	(	PUNCT
ijassa-803	55	10	mlasso	mlasso	NOUN
ijassa-803	55	11	)	)	PUNCT
ijassa-803	55	12	technique	technique	NOUN
ijassa-803	55	13	.	.	PUNCT
ijassa-803	56	1	in	in	ADP
ijassa-803	56	2	addition	addition	NOUN
ijassa-803	56	3	to	to	ADP
ijassa-803	56	4	discovering	discover	VERB
ijassa-803	56	5	the	the	DET
ijassa-803	56	6	correlation	correlation	NOUN
ijassa-803	56	7	between	between	ADP
ijassa-803	56	8	the	the	DET
ijassa-803	56	9	data	datum	NOUN
ijassa-803	56	10	,	,	PUNCT
ijassa-803	56	11	it	it	PRON
ijassa-803	56	12	also	also	ADV
ijassa-803	56	13	better	well	ADV
ijassa-803	56	14	68	68	NUM
ijassa-803	56	15	anitha	anitha	NOUN
ijassa-803	56	16	k.	k.	PROPN
ijassa-803	56	17	,	,	PUNCT
ijassa-803	56	18	jaison	jaison	PROPN
ijassa-803	56	19	b.	b.	PROPN
ijassa-803	56	20	,	,	PUNCT
ijassa-803	56	21	nalini	nalini	PROPN
ijassa-803	56	22	m.	m.	PROPN
ijassa-803	56	23	,	,	PUNCT
ijassa-803	56	24	shiny	shiny	PROPN
ijassa-803	56	25	irene	irene	PROPN
ijassa-803	56	26	d.	d.	PROPN
ijassa-803	56	27	copyright	copyright	PROPN
ijassa-803	57	1	©	©	PROPN
ijassa-803	57	2	2020	2020	NUM
ijassa-803	57	3	assa	assa	PROPN
ijassa-803	57	4	adv	adv	PROPN
ijassa-803	57	5	.	.	PUNCT
ijassa-803	58	1	in	in	ADP
ijassa-803	58	2	systems	system	NOUN
ijassa-803	58	3	science	science	NOUN
ijassa-803	58	4	and	and	CCONJ
ijassa-803	58	5	appl	appl	NOUN
ijassa-803	58	6	.	.	PUNCT
ijassa-803	59	1	(	(	PUNCT
ijassa-803	59	2	2020	2020	NUM
ijassa-803	59	3	)	)	PUNCT
ijassa-803	59	4	discriminates	discriminate	VERB
ijassa-803	59	5	similar	similar	ADJ
ijassa-803	59	6	data	datum	NOUN
ijassa-803	59	7	.	.	PUNCT
ijassa-803	60	1	this	this	DET
ijassa-803	60	2	property	property	NOUN
ijassa-803	60	3	of	of	ADP
ijassa-803	60	4	dlasso	dlasso	NOUN
ijassa-803	60	5	helps	help	VERB
ijassa-803	60	6	in	in	ADP
ijassa-803	60	7	achieving	achieve	VERB
ijassa-803	60	8	high	high	ADJ
ijassa-803	60	9	reconstruction	reconstruction	NOUN
ijassa-803	60	10	accuracy	accuracy	NOUN
ijassa-803	60	11	.	.	PUNCT
ijassa-803	61	1	the	the	DET
ijassa-803	61	2	proposed	propose	VERB
ijassa-803	61	3	algorithm	algorithm	NOUN
ijassa-803	61	4	in	in	ADP
ijassa-803	61	5	particular	particular	ADJ
ijassa-803	61	6	creates	create	VERB
ijassa-803	61	7	optimum	optimum	ADJ
ijassa-803	61	8	predictions	prediction	NOUN
ijassa-803	61	9	of	of	ADP
ijassa-803	61	10	multi	multi	ADJ
ijassa-803	61	11	variate	variate	NOUN
ijassa-803	61	12	data	datum	NOUN
ijassa-803	61	13	and	and	CCONJ
ijassa-803	61	14	thus	thus	ADV
ijassa-803	61	15	achieves	achieve	VERB
ijassa-803	61	16	efficient	efficient	ADJ
ijassa-803	61	17	energy	energy	NOUN
ijassa-803	61	18	utilization	utilization	NOUN
ijassa-803	61	19	.	.	PUNCT
ijassa-803	62	1	to	to	PART
ijassa-803	62	2	demonstrate	demonstrate	VERB
ijassa-803	62	3	the	the	DET
ijassa-803	62	4	capability	capability	NOUN
ijassa-803	62	5	and	and	CCONJ
ijassa-803	62	6	suitability	suitability	NOUN
ijassa-803	62	7	of	of	ADP
ijassa-803	62	8	the	the	DET
ijassa-803	62	9	proposed	propose	VERB
ijassa-803	62	10	algorithms	algorithm	NOUN
ijassa-803	62	11	in	in	ADP
ijassa-803	62	12	comparison	comparison	NOUN
ijassa-803	62	13	with	with	ADP
ijassa-803	62	14	the	the	DET
ijassa-803	62	15	competing	compete	VERB
ijassa-803	62	16	algorithms	algorithm	NOUN
ijassa-803	62	17	available	available	ADJ
ijassa-803	62	18	in	in	ADP
ijassa-803	62	19	literature	literature	NOUN
ijassa-803	62	20	,	,	PUNCT
ijassa-803	62	21	the	the	DET
ijassa-803	62	22	system	system	NOUN
ijassa-803	62	23	is	be	AUX
ijassa-803	62	24	evaluated	evaluate	VERB
ijassa-803	62	25	and	and	CCONJ
ijassa-803	62	26	tested	test	VERB
ijassa-803	62	27	with	with	ADP
ijassa-803	62	28	benchmark	benchmark	ADJ
ijassa-803	62	29	data	data	NOUN
ijassa-803	62	30	sets	set	NOUN
ijassa-803	62	31	from	from	ADP
ijassa-803	62	32	different	different	ADJ
ijassa-803	62	33	application	application	NOUN
ijassa-803	62	34	domains	domain	NOUN
ijassa-803	62	35	.	.	PUNCT
ijassa-803	63	1	the	the	DET
ijassa-803	63	2	experimental	experimental	ADJ
ijassa-803	63	3	results	result	NOUN
ijassa-803	63	4	of	of	ADP
ijassa-803	63	5	proposed	propose	VERB
ijassa-803	63	6	system	system	NOUN
ijassa-803	63	7	performed	perform	VERB
ijassa-803	63	8	significantly	significantly	ADV
ijassa-803	63	9	better	well	ADV
ijassa-803	63	10	when	when	SCONJ
ijassa-803	63	11	tested	test	VERB
ijassa-803	63	12	with	with	ADP
ijassa-803	63	13	smooth	smooth	ADJ
ijassa-803	63	14	multivariate	multivariate	NOUN
ijassa-803	63	15	data	data	NOUN
ijassa-803	63	16	sets	set	NOUN
ijassa-803	63	17	.	.	PUNCT
ijassa-803	64	1	this	this	PRON
ijassa-803	64	2	makes	make	VERB
ijassa-803	64	3	the	the	DET
ijassa-803	64	4	system	system	NOUN
ijassa-803	64	5	most	most	ADV
ijassa-803	64	6	suitable	suitable	ADJ
ijassa-803	64	7	in	in	ADP
ijassa-803	64	8	applications	application	NOUN
ijassa-803	64	9	such	such	ADJ
ijassa-803	64	10	as	as	ADP
ijassa-803	64	11	behaviour	behaviour	NOUN
ijassa-803	64	12	monitoring	monitoring	NOUN
ijassa-803	64	13	.	.	PUNCT
ijassa-803	65	1	the	the	DET
ijassa-803	65	2	work	work	NOUN
ijassa-803	65	3	also	also	ADV
ijassa-803	65	4	includes	include	VERB
ijassa-803	65	5	development	development	NOUN
ijassa-803	65	6	,	,	PUNCT
ijassa-803	65	7	optimizing	optimize	VERB
ijassa-803	65	8	and	and	CCONJ
ijassa-803	65	9	computing	compute	VERB
ijassa-803	65	10	compression	compression	NOUN
ijassa-803	65	11	consuming	consume	VERB
ijassa-803	65	12	less	less	ADV
ijassa-803	65	13	running	running	NOUN
ijassa-803	65	14	time	time	NOUN
ijassa-803	65	15	.	.	PUNCT
ijassa-803	66	1	in	in	ADP
ijassa-803	66	2	addition	addition	NOUN
ijassa-803	66	3	guidance	guidance	NOUN
ijassa-803	66	4	for	for	ADP
ijassa-803	66	5	selection	selection	NOUN
ijassa-803	66	6	of	of	ADP
ijassa-803	66	7	parameters	parameter	NOUN
ijassa-803	66	8	influencing	influence	VERB
ijassa-803	66	9	the	the	DET
ijassa-803	66	10	algorithm	algorithm	NOUN
ijassa-803	66	11	performance	performance	NOUN
ijassa-803	66	12	is	be	AUX
ijassa-803	66	13	also	also	ADV
ijassa-803	66	14	described	describe	VERB
ijassa-803	66	15	.	.	PUNCT
ijassa-803	67	1	the	the	DET
ijassa-803	67	2	organization	organization	NOUN
ijassa-803	67	3	of	of	ADP
ijassa-803	67	4	this	this	DET
ijassa-803	67	5	paper	paper	NOUN
ijassa-803	67	6	is	be	AUX
ijassa-803	67	7	as	as	SCONJ
ijassa-803	67	8	follows	follow	VERB
ijassa-803	67	9	:	:	PUNCT
ijassa-803	67	10	in	in	ADP
ijassa-803	67	11	section	section	NOUN
ijassa-803	67	12	2	2	NUM
ijassa-803	67	13	,	,	PUNCT
ijassa-803	67	14	a	a	DET
ijassa-803	67	15	brief	brief	NOUN
ijassa-803	67	16	about	about	ADP
ijassa-803	67	17	the	the	DET
ijassa-803	67	18	related	relate	VERB
ijassa-803	67	19	work	work	NOUN
ijassa-803	67	20	is	be	AUX
ijassa-803	67	21	given	give	VERB
ijassa-803	67	22	.	.	PUNCT
ijassa-803	68	1	the	the	DET
ijassa-803	68	2	univariate	univariate	ADJ
ijassa-803	68	3	and	and	CCONJ
ijassa-803	68	4	multivariate	multivariate	VERB
ijassa-803	68	5	lasso	lasso	NOUN
ijassa-803	68	6	compression	compression	NOUN
ijassa-803	68	7	algorithm	algorithm	NOUN
ijassa-803	68	8	and	and	CCONJ
ijassa-803	68	9	the	the	DET
ijassa-803	68	10	methodology	methodology	NOUN
ijassa-803	68	11	of	of	ADP
ijassa-803	68	12	implementation	implementation	NOUN
ijassa-803	68	13	is	be	AUX
ijassa-803	68	14	proposed	propose	VERB
ijassa-803	68	15	in	in	ADP
ijassa-803	68	16	section	section	NOUN
ijassa-803	68	17	3	3	NUM
ijassa-803	68	18	.	.	PUNCT
ijassa-803	69	1	the	the	DET
ijassa-803	69	2	description	description	NOUN
ijassa-803	69	3	of	of	ADP
ijassa-803	69	4	real	real	ADJ
ijassa-803	69	5	world	world	NOUN
ijassa-803	69	6	publicly	publicly	ADV
ijassa-803	69	7	available	available	ADJ
ijassa-803	69	8	data	data	NOUN
ijassa-803	69	9	sets	set	NOUN
ijassa-803	69	10	and	and	CCONJ
ijassa-803	69	11	the	the	DET
ijassa-803	69	12	comparison	comparison	NOUN
ijassa-803	69	13	of	of	ADP
ijassa-803	69	14	several	several	ADJ
ijassa-803	69	15	compression	compression	NOUN
ijassa-803	69	16	algorithms	algorithm	NOUN
ijassa-803	69	17	available	available	ADJ
ijassa-803	69	18	in	in	ADP
ijassa-803	69	19	literature	literature	NOUN
ijassa-803	69	20	is	be	AUX
ijassa-803	69	21	done	do	VERB
ijassa-803	69	22	in	in	ADP
ijassa-803	69	23	section	section	NOUN
ijassa-803	69	24	4	4	NUM
ijassa-803	69	25	.	.	PUNCT
ijassa-803	70	1	finally	finally	ADV
ijassa-803	70	2	,	,	PUNCT
ijassa-803	70	3	section	section	NOUN
ijassa-803	70	4	5	5	NUM
ijassa-803	70	5	briefs	brief	NOUN
ijassa-803	70	6	few	few	ADJ
ijassa-803	70	7	concluding	concluding	NOUN
ijassa-803	70	8	remarks	remark	NOUN
ijassa-803	70	9	.	.	PUNCT
ijassa-803	71	1	2	2	X
ijassa-803	71	2	.	.	X
ijassa-803	71	3	related	relate	VERB
ijassa-803	71	4	work	work	NOUN
ijassa-803	71	5	in	in	ADP
ijassa-803	71	6	sensors	sensor	NOUN
ijassa-803	71	7	that	that	PRON
ijassa-803	71	8	are	be	AUX
ijassa-803	71	9	intricate	intricate	ADJ
ijassa-803	71	10	in	in	ADP
ijassa-803	71	11	long	long	ADJ
ijassa-803	71	12	term	term	NOUN
ijassa-803	71	13	real	real	ADJ
ijassa-803	71	14	time	time	NOUN
ijassa-803	71	15	monitoring	monitoring	NOUN
ijassa-803	71	16	,	,	PUNCT
ijassa-803	71	17	efficient	efficient	ADJ
ijassa-803	71	18	consumption	consumption	NOUN
ijassa-803	71	19	of	of	ADP
ijassa-803	71	20	energy	energy	NOUN
ijassa-803	71	21	is	be	AUX
ijassa-803	71	22	a	a	DET
ijassa-803	71	23	conspicuous	conspicuous	ADJ
ijassa-803	71	24	feature	feature	NOUN
ijassa-803	71	25	for	for	ADP
ijassa-803	71	26	their	their	PRON
ijassa-803	71	27	satisfactory	satisfactory	ADJ
ijassa-803	71	28	performance	performance	NOUN
ijassa-803	71	29	.	.	PUNCT
ijassa-803	72	1	several	several	ADJ
ijassa-803	72	2	available	available	ADJ
ijassa-803	72	3	compression	compression	NOUN
ijassa-803	72	4	algorithms	algorithm	NOUN
ijassa-803	72	5	are	be	AUX
ijassa-803	72	6	not	not	PART
ijassa-803	72	7	directly	directly	ADV
ijassa-803	72	8	malleable	malleable	ADJ
ijassa-803	72	9	for	for	ADP
ijassa-803	72	10	sensor	sensor	NOUN
ijassa-803	72	11	nodes	node	NOUN
ijassa-803	72	12	.	.	PUNCT
ijassa-803	73	1	only	only	ADV
ijassa-803	73	2	explicitly	explicitly	ADV
ijassa-803	73	3	formulated	formulate	VERB
ijassa-803	73	4	and	and	CCONJ
ijassa-803	73	5	derived	derived	ADJ
ijassa-803	73	6	compression	compression	NOUN
ijassa-803	73	7	algorithms	algorithm	NOUN
ijassa-803	73	8	are	be	AUX
ijassa-803	73	9	appropriate	appropriate	ADJ
ijassa-803	73	10	and	and	CCONJ
ijassa-803	73	11	implemented	implement	VERB
ijassa-803	73	12	for	for	ADP
ijassa-803	73	13	sensor	sensor	NOUN
ijassa-803	73	14	nodes	node	NOUN
ijassa-803	73	15	applications	application	NOUN
ijassa-803	73	16	[	[	X
ijassa-803	73	17	28	28	NUM
ijassa-803	73	18	]	]	PUNCT
ijassa-803	73	19	.	.	PUNCT
ijassa-803	74	1	multivariate	multivariate	NOUN
ijassa-803	74	2	data	datum	NOUN
ijassa-803	74	3	measured	measure	VERB
ijassa-803	74	4	from	from	ADP
ijassa-803	74	5	one	one	NUM
ijassa-803	74	6	sensor	sensor	NOUN
ijassa-803	74	7	node	node	NOUN
ijassa-803	74	8	are	be	AUX
ijassa-803	74	9	correlated	correlate	VERB
ijassa-803	74	10	.	.	PUNCT
ijassa-803	75	1	each	each	DET
ijassa-803	75	2	original	original	ADJ
ijassa-803	75	3	time	time	NOUN
ijassa-803	75	4	series	series	NOUN
ijassa-803	75	5	is	be	AUX
ijassa-803	75	6	not	not	PART
ijassa-803	75	7	linear	linear	ADJ
ijassa-803	75	8	,	,	PUNCT
ijassa-803	75	9	however	however	ADV
ijassa-803	75	10	deligiannakis	deligiannakis	PROPN
ijassa-803	76	1	[	[	X
ijassa-803	76	2	17	17	NUM
ijassa-803	76	3	]	]	PUNCT
ijassa-803	76	4	proposed	propose	VERB
ijassa-803	76	5	an	an	DET
ijassa-803	76	6	algorithm	algorithm	NOUN
ijassa-803	76	7	keeping	keep	VERB
ijassa-803	76	8	base	base	NOUN
ijassa-803	76	9	signal	signal	NOUN
ijassa-803	76	10	as	as	ADP
ijassa-803	76	11	an	an	DET
ijassa-803	76	12	independent	independent	ADJ
ijassa-803	76	13	variable	variable	NOUN
ijassa-803	76	14	.	.	PUNCT
ijassa-803	77	1	then	then	ADV
ijassa-803	77	2	the	the	DET
ijassa-803	77	3	other	other	ADJ
ijassa-803	77	4	series	series	NOUN
ijassa-803	77	5	data	datum	NOUN
ijassa-803	77	6	is	be	AUX
ijassa-803	77	7	approximated	approximate	VERB
ijassa-803	77	8	using	use	VERB
ijassa-803	77	9	regression	regression	NOUN
ijassa-803	77	10	model	model	NOUN
ijassa-803	77	11	.	.	PUNCT
ijassa-803	78	1	the	the	DET
ijassa-803	78	2	base	base	PROPN
ijassa-803	78	3	signal	signal	NOUN
ijassa-803	78	4	values	value	NOUN
ijassa-803	78	5	are	be	AUX
ijassa-803	78	6	directly	directly	ADV
ijassa-803	78	7	extracted	extract	VERB
ijassa-803	78	8	from	from	ADP
ijassa-803	78	9	the	the	DET
ijassa-803	78	10	actual	actual	ADJ
ijassa-803	78	11	sensor	sensor	NOUN
ijassa-803	78	12	raw	raw	ADJ
ijassa-803	78	13	data	datum	NOUN
ijassa-803	78	14	and	and	CCONJ
ijassa-803	78	15	replaced	replace	VERB
ijassa-803	78	16	during	during	ADP
ijassa-803	78	17	changes	change	NOUN
ijassa-803	78	18	occur	occur	VERB
ijassa-803	78	19	.	.	PUNCT
ijassa-803	79	1	the	the	DET
ijassa-803	79	2	algorithm	algorithm	NOUN
ijassa-803	79	3	is	be	AUX
ijassa-803	79	4	more	more	ADV
ijassa-803	79	5	suitable	suitable	ADJ
ijassa-803	79	6	for	for	ADP
ijassa-803	79	7	data	datum	NOUN
ijassa-803	79	8	having	have	VERB
ijassa-803	79	9	larger	large	ADJ
ijassa-803	79	10	multivariate	multivariate	NOUN
ijassa-803	79	11	correlation	correlation	NOUN
ijassa-803	79	12	.	.	PUNCT
ijassa-803	80	1	on	on	ADP
ijassa-803	80	2	the	the	DET
ijassa-803	80	3	other	other	ADJ
ijassa-803	80	4	hand	hand	NOUN
ijassa-803	80	5	the	the	DET
ijassa-803	80	6	algorithm	algorithm	NOUN
ijassa-803	80	7	does	do	AUX
ijassa-803	80	8	n’t	not	PART
ijassa-803	80	9	consider	consider	VERB
ijassa-803	80	10	error	error	NOUN
ijassa-803	80	11	constraints	constraint	NOUN
ijassa-803	80	12	.	.	PUNCT
ijassa-803	81	1	race	race	NOUN
ijassa-803	81	2	algorithm	algorithm	NOUN
ijassa-803	81	3	[	[	X
ijassa-803	81	4	24	24	NUM
ijassa-803	81	5	]	]	PUNCT
ijassa-803	81	6	is	be	AUX
ijassa-803	81	7	developed	develop	VERB
ijassa-803	81	8	for	for	ADP
ijassa-803	81	9	data	datum	NOUN
ijassa-803	81	10	acquired	acquire	VERB
ijassa-803	81	11	from	from	ADP
ijassa-803	81	12	single	single	ADJ
ijassa-803	81	13	sensor	sensor	NOUN
ijassa-803	81	14	node	node	NOUN
ijassa-803	81	15	.	.	PUNCT
ijassa-803	82	1	few	few	ADJ
ijassa-803	82	2	of	of	ADP
ijassa-803	82	3	the	the	DET
ijassa-803	82	4	other	other	ADJ
ijassa-803	82	5	techniques	technique	NOUN
ijassa-803	82	6	developed	develop	VERB
ijassa-803	82	7	includes	include	VERB
ijassa-803	82	8	distributed	distribute	VERB
ijassa-803	82	9	source	source	NOUN
ijassa-803	82	10	coding	code	VERB
ijassa-803	82	11	(	(	PUNCT
ijassa-803	82	12	dsc	dsc	NOUN
ijassa-803	82	13	)	)	PUNCT
ijassa-803	83	1	[	[	X
ijassa-803	83	2	29	29	NUM
ijassa-803	83	3	]	]	PUNCT
ijassa-803	83	4	,	,	PUNCT
ijassa-803	83	5	compressed	compress	VERB
ijassa-803	83	6	sensing	sensing	NOUN
ijassa-803	83	7	(	(	PUNCT
ijassa-803	83	8	cs	cs	PROPN
ijassa-803	83	9	)	)	PUNCT
ijassa-803	83	10	[	[	X
ijassa-803	83	11	30	30	NUM
ijassa-803	83	12	]	]	PUNCT
ijassa-803	83	13	,	,	PUNCT
ijassa-803	83	14	distributed	distribute	VERB
ijassa-803	83	15	source	source	NOUN
ijassa-803	83	16	modelling	modelling	NOUN
ijassa-803	83	17	(	(	PUNCT
ijassa-803	83	18	dsm	dsm	NOUN
ijassa-803	83	19	)	)	PUNCT
ijassa-803	84	1	[	[	X
ijassa-803	84	2	31	31	NUM
ijassa-803	84	3	]	]	PUNCT
ijassa-803	84	4	and	and	CCONJ
ijassa-803	84	5	distributed	distribute	VERB
ijassa-803	84	6	transform	transform	NOUN
ijassa-803	84	7	coding	code	VERB
ijassa-803	84	8	(	(	PUNCT
ijassa-803	84	9	dtc	dtc	PROPN
ijassa-803	84	10	)	)	PUNCT
ijassa-803	85	1	[	[	X
ijassa-803	85	2	32	32	NUM
ijassa-803	85	3	]	]	PUNCT
ijassa-803	85	4	.	.	PUNCT
ijassa-803	86	1	there	there	PRON
ijassa-803	86	2	are	be	VERB
ijassa-803	86	3	other	other	ADJ
ijassa-803	86	4	compression	compression	NOUN
ijassa-803	86	5	techniques	technique	NOUN
ijassa-803	86	6	grouped	group	VERB
ijassa-803	86	7	as	as	ADP
ijassa-803	86	8	temporal	temporal	ADJ
ijassa-803	86	9	compression	compression	NOUN
ijassa-803	86	10	techniques	technique	NOUN
ijassa-803	86	11	classified	classify	VERB
ijassa-803	86	12	as	as	ADP
ijassa-803	86	13	:	:	PUNCT
ijassa-803	86	14	lossless	lossless	NOUN
ijassa-803	86	15	and	and	CCONJ
ijassa-803	86	16	lossy	lossy	ADJ
ijassa-803	86	17	compression	compression	NOUN
ijassa-803	86	18	algorithms	algorithm	NOUN
ijassa-803	86	19	.	.	PUNCT
ijassa-803	87	1	they	they	PRON
ijassa-803	87	2	are	be	AUX
ijassa-803	87	3	characterized	characterize	VERB
ijassa-803	87	4	based	base	VERB
ijassa-803	87	5	on	on	ADP
ijassa-803	87	6	different	different	ADJ
ijassa-803	87	7	principles	principle	NOUN
ijassa-803	87	8	.	.	PUNCT
ijassa-803	88	1	data	datum	NOUN
ijassa-803	88	2	accuracy	accuracy	NOUN
ijassa-803	89	1	[	[	X
ijassa-803	89	2	8	8	NUM
ijassa-803	89	3	]	]	PUNCT
ijassa-803	89	4	is	be	AUX
ijassa-803	89	5	preserved	preserve	VERB
ijassa-803	89	6	in	in	ADP
ijassa-803	89	7	lossless	lossless	PROPN
ijassa-803	89	8	compression	compression	NOUN
ijassa-803	89	9	.	.	PUNCT
ijassa-803	90	1	this	this	DET
ijassa-803	90	2	accuracy	accuracy	NOUN
ijassa-803	90	3	is	be	AUX
ijassa-803	90	4	preserved	preserve	VERB
ijassa-803	90	5	by	by	ADP
ijassa-803	90	6	eliminating	eliminate	VERB
ijassa-803	90	7	redundant	redundant	ADJ
ijassa-803	90	8	data	datum	NOUN
ijassa-803	90	9	during	during	ADP
ijassa-803	90	10	compression	compression	NOUN
ijassa-803	90	11	and	and	CCONJ
ijassa-803	90	12	decompression	decompression	NOUN
ijassa-803	90	13	process	process	NOUN
ijassa-803	90	14	.	.	PUNCT
ijassa-803	91	1	on	on	ADP
ijassa-803	91	2	the	the	DET
ijassa-803	91	3	other	other	ADJ
ijassa-803	91	4	hand	hand	NOUN
ijassa-803	91	5	,	,	PUNCT
ijassa-803	91	6	lossy	lossy	ADJ
ijassa-803	91	7	compression	compression	NOUN
ijassa-803	91	8	techniques	technique	NOUN
ijassa-803	91	9	are	be	AUX
ijassa-803	91	10	derived	derive	VERB
ijassa-803	91	11	to	to	PART
ijassa-803	91	12	achieve	achieve	VERB
ijassa-803	91	13	better	well	ADJ
ijassa-803	91	14	compression	compression	NOUN
ijassa-803	91	15	ratio	ratio	NOUN
ijassa-803	91	16	at	at	ADP
ijassa-803	91	17	the	the	DET
ijassa-803	91	18	cost	cost	NOUN
ijassa-803	91	19	of	of	ADP
ijassa-803	91	20	sacrificing	sacrifice	VERB
ijassa-803	91	21	the	the	DET
ijassa-803	91	22	accuracy	accuracy	NOUN
ijassa-803	91	23	.	.	PUNCT
ijassa-803	92	1	a	a	DET
ijassa-803	92	2	number	number	NOUN
ijassa-803	92	3	of	of	ADP
ijassa-803	92	4	classic	classic	ADJ
ijassa-803	92	5	lossless	lossless	NOUN
ijassa-803	92	6	compression	compression	NOUN
ijassa-803	92	7	methods	method	NOUN
ijassa-803	92	8	have	have	AUX
ijassa-803	92	9	been	be	AUX
ijassa-803	92	10	derived	derive	VERB
ijassa-803	92	11	and	and	CCONJ
ijassa-803	92	12	analysed	analyse	VERB
ijassa-803	92	13	.	.	PUNCT
ijassa-803	93	1	few	few	ADJ
ijassa-803	93	2	of	of	ADP
ijassa-803	93	3	the	the	DET
ijassa-803	93	4	algorithms	algorithm	NOUN
ijassa-803	93	5	suitable	suitable	ADJ
ijassa-803	93	6	and	and	CCONJ
ijassa-803	93	7	used	use	VERB
ijassa-803	93	8	in	in	ADP
ijassa-803	93	9	sensors	sensor	NOUN
ijassa-803	93	10	is	be	AUX
ijassa-803	93	11	sensor	sensor	NOUN
ijassa-803	93	12	lempel	lempel	NOUN
ijassa-803	93	13	-	-	PUNCT
ijassa-803	93	14	ziv	ziv	PROPN
ijassa-803	93	15	-	-	PUNCT
ijassa-803	93	16	welch	welch	PROPN
ijassa-803	93	17	(	(	PUNCT
ijassa-803	93	18	s	s	NOUN
ijassa-803	93	19	-	-	PUNCT
ijassa-803	93	20	lzw	lzw	ADJ
ijassa-803	93	21	)	)	PUNCT
ijassa-803	93	22	algorithm	algorithm	NOUN
ijassa-803	93	23	and	and	CCONJ
ijassa-803	93	24	a	a	DET
ijassa-803	93	25	distinct	distinct	ADJ
ijassa-803	93	26	variant	variant	NOUN
ijassa-803	93	27	of	of	ADP
ijassa-803	93	28	previous	previous	ADJ
ijassa-803	93	29	technique	technique	NOUN
ijassa-803	93	30	lsz	lsz	NOUN
ijassa-803	94	1	[	[	X
ijassa-803	94	2	33	33	NUM
ijassa-803	94	3	]	]	PUNCT
ijassa-803	94	4	made	make	VERB
ijassa-803	94	5	suitable	suitable	ADJ
ijassa-803	94	6	for	for	ADP
ijassa-803	94	7	sensors	sensor	NOUN
ijassa-803	94	8	.	.	PUNCT
ijassa-803	95	1	it	it	PRON
ijassa-803	95	2	is	be	AUX
ijassa-803	95	3	specially	specially	ADV
ijassa-803	95	4	developed	develop	VERB
ijassa-803	95	5	to	to	ADP
ijassa-803	95	6	storage	storage	NOUN
ijassa-803	95	7	and	and	CCONJ
ijassa-803	95	8	energy	energy	NOUN
ijassa-803	95	9	constraints	constraint	NOUN
ijassa-803	95	10	in	in	ADP
ijassa-803	95	11	sensor	sensor	NOUN
ijassa-803	95	12	networks	network	NOUN
ijassa-803	95	13	.	.	PUNCT
ijassa-803	96	1	lossless	lossless	PROPN
ijassa-803	96	2	entropy	entropy	PROPN
ijassa-803	96	3	compression	compression	NOUN
ijassa-803	96	4	(	(	PUNCT
ijassa-803	96	5	lec	lec	PROPN
ijassa-803	96	6	)	)	PUNCT
ijassa-803	96	7	algorithm	algorithm	NOUN
ijassa-803	97	1	[	[	X
ijassa-803	97	2	33	33	NUM
ijassa-803	97	3	]	]	PUNCT
ijassa-803	97	4	is	be	AUX
ijassa-803	97	5	a	a	DET
ijassa-803	97	6	lossless	lossless	NOUN
ijassa-803	97	7	compression	compression	NOUN
ijassa-803	97	8	approach	approach	NOUN
ijassa-803	97	9	proved	prove	VERB
ijassa-803	97	10	very	very	ADV
ijassa-803	97	11	efficient	efficient	ADJ
ijassa-803	97	12	is	be	AUX
ijassa-803	97	13	based	base	VERB
ijassa-803	97	14	on	on	ADP
ijassa-803	97	15	traditional	traditional	ADJ
ijassa-803	97	16	information	information	NOUN
ijassa-803	97	17	encoding	encoding	NOUN
ijassa-803	97	18	.	.	PUNCT
ijassa-803	98	1	the	the	DET
ijassa-803	98	2	lossless	lossless	PROPN
ijassa-803	98	3	compression	compression	NOUN
ijassa-803	98	4	techniques	technique	NOUN
ijassa-803	98	5	are	be	AUX
ijassa-803	98	6	not	not	PART
ijassa-803	98	7	well	well	ADV
ijassa-803	98	8	suited	suited	ADJ
ijassa-803	98	9	for	for	ADP
ijassa-803	98	10	sensor	sensor	NOUN
ijassa-803	98	11	applications	application	NOUN
ijassa-803	98	12	.	.	PUNCT
ijassa-803	99	1	in	in	ADP
ijassa-803	99	2	some	some	DET
ijassa-803	99	3	cases	case	NOUN
ijassa-803	99	4	they	they	PRON
ijassa-803	99	5	require	require	VERB
ijassa-803	99	6	large	large	ADJ
ijassa-803	99	7	memory	memory	NOUN
ijassa-803	99	8	and	and	CCONJ
ijassa-803	99	9	in	in	ADP
ijassa-803	99	10	other	other	ADJ
ijassa-803	99	11	cases	case	NOUN
ijassa-803	99	12	their	their	PRON
ijassa-803	99	13	assumptions	assumption	NOUN
ijassa-803	99	14	about	about	ADP
ijassa-803	99	15	entries	entry	NOUN
ijassa-803	99	16	of	of	ADP
ijassa-803	99	17	static	static	ADJ
ijassa-803	99	18	dictionary	dictionary	NOUN
ijassa-803	99	19	are	be	AUX
ijassa-803	99	20	not	not	PART
ijassa-803	99	21	appropriate	appropriate	ADJ
ijassa-803	99	22	.	.	PUNCT
ijassa-803	100	1	lossy	lossy	ADJ
ijassa-803	100	2	compression	compression	NOUN
ijassa-803	100	3	relaxes	relax	VERB
ijassa-803	100	4	the	the	DET
ijassa-803	100	5	accuracy	accuracy	NOUN
ijassa-803	100	6	and	and	CCONJ
ijassa-803	100	7	accepts	accept	VERB
ijassa-803	100	8	deviations	deviation	NOUN
ijassa-803	100	9	from	from	ADP
ijassa-803	100	10	the	the	DET
ijassa-803	100	11	original	original	NOUN
ijassa-803	100	12	to	to	PART
ijassa-803	100	13	reach	reach	VERB
ijassa-803	100	14	the	the	DET
ijassa-803	100	15	flexibility	flexibility	NOUN
ijassa-803	100	16	to	to	PART
ijassa-803	100	17	achieve	achieve	VERB
ijassa-803	100	18	less	less	ADJ
ijassa-803	100	19	energy	energy	NOUN
ijassa-803	100	20	consumption	consumption	NOUN
ijassa-803	100	21	and	and	CCONJ
ijassa-803	100	22	reconstruction	reconstruction	NOUN
ijassa-803	100	23	accuracy	accuracy	NOUN
ijassa-803	100	24	for	for	ADP
ijassa-803	100	25	higher	high	ADJ
ijassa-803	100	26	compression	compression	NOUN
ijassa-803	100	27	ratio	ratio	NOUN
ijassa-803	100	28	,	,	PUNCT
ijassa-803	100	29	in	in	ADP
ijassa-803	100	30	order	order	NOUN
ijassa-803	100	31	this	this	PRON
ijassa-803	100	32	will	will	AUX
ijassa-803	100	33	increase	increase	VERB
ijassa-803	100	34	the	the	DET
ijassa-803	100	35	lifetime	lifetime	NOUN
ijassa-803	100	36	of	of	ADP
ijassa-803	100	37	wireless	wireless	ADJ
ijassa-803	100	38	sensors	sensor	NOUN
ijassa-803	100	39	.	.	PUNCT
ijassa-803	101	1	schoell	schoell	PROPN
ijassa-803	101	2	hammer	hammer	NOUN
ijassa-803	101	3	has	have	AUX
ijassa-803	101	4	presented	present	VERB
ijassa-803	101	5	a	a	DET
ijassa-803	101	6	less	less	ADV
ijassa-803	101	7	complex	complex	ADJ
ijassa-803	101	8	lightweight	lightweight	ADJ
ijassa-803	101	9	temporal	temporal	ADJ
ijassa-803	101	10	compression	compression	NOUN
ijassa-803	101	11	(	(	PUNCT
ijassa-803	101	12	ltc	ltc	NOUN
ijassa-803	101	13	)	)	PUNCT
ijassa-803	101	14	technique	technique	NOUN
ijassa-803	101	15	.	.	PUNCT
ijassa-803	102	1	a	a	DET
ijassa-803	102	2	a	a	PRON
ijassa-803	102	3	novel	novel	ADJ
ijassa-803	102	4	enriched	enrich	VERB
ijassa-803	102	5	lasso	lasso	NOUN
ijassa-803	102	6	based	base	VERB
ijassa-803	102	7	compression	compression	NOUN
ijassa-803	102	8	technique	technique	NOUN
ijassa-803	102	9	for	for	ADP
ijassa-803	102	10	energy	energy	NOUN
ijassa-803	102	11	efficient	efficient	ADJ
ijassa-803	102	12	wireless	wireless	ADJ
ijassa-803	102	13	sensor	sensor	NOUN
ijassa-803	102	14	networks	network	VERB
ijassa-803	102	15	69	69	NUM
ijassa-803	102	16	copyright	copyright	NOUN
ijassa-803	102	17	©	©	PROPN
ijassa-803	102	18	2020	2020	NUM
ijassa-803	102	19	assa	assa	PROPN
ijassa-803	102	20	adv	adv	PROPN
ijassa-803	102	21	.	.	PUNCT
ijassa-803	103	1	in	in	ADP
ijassa-803	103	2	systems	system	NOUN
ijassa-803	103	3	science	science	NOUN
ijassa-803	103	4	and	and	CCONJ
ijassa-803	103	5	appl	appl	NOUN
ijassa-803	103	6	.	.	PUNCT
ijassa-803	104	1	(	(	PUNCT
ijassa-803	104	2	2020	2020	NUM
ijassa-803	104	3	)	)	PUNCT
ijassa-803	104	4	small	small	ADJ
ijassa-803	104	5	value	value	NOUN
ijassa-803	104	6	of	of	ADP
ijassa-803	104	7	error	error	NOUN
ijassa-803	104	8	is	be	AUX
ijassa-803	104	9	added	add	VERB
ijassa-803	104	10	with	with	ADP
ijassa-803	104	11	each	each	DET
ijassa-803	104	12	reading	reading	NOUN
ijassa-803	104	13	,	,	PUNCT
ijassa-803	104	14	controlled	control	VERB
ijassa-803	104	15	by	by	ADP
ijassa-803	104	16	knob	knob	NOUN
ijassa-803	104	17	[	[	X
ijassa-803	104	18	34,35	34,35	NOUN
ijassa-803	104	19	]	]	PUNCT
ijassa-803	104	20	.	.	PUNCT
ijassa-803	105	1	ltc	ltc	ADJ
ijassa-803	105	2	technique	technique	NOUN
ijassa-803	105	3	is	be	AUX
ijassa-803	105	4	simple	simple	ADJ
ijassa-803	105	5	and	and	CCONJ
ijassa-803	105	6	less	less	ADV
ijassa-803	105	7	complex	complex	ADJ
ijassa-803	105	8	method	method	NOUN
ijassa-803	105	9	and	and	CCONJ
ijassa-803	105	10	can	can	AUX
ijassa-803	105	11	be	be	AUX
ijassa-803	105	12	used	use	VERB
ijassa-803	105	13	for	for	ADP
ijassa-803	105	14	temporal	temporal	ADJ
ijassa-803	105	15	data	datum	NOUN
ijassa-803	105	16	compression	compression	NOUN
ijassa-803	106	1	[	[	X
ijassa-803	106	2	36	36	NUM
ijassa-803	106	3	]	]	PUNCT
ijassa-803	106	4	.	.	PUNCT
ijassa-803	107	1	the	the	DET
ijassa-803	107	2	performance	performance	NOUN
ijassa-803	107	3	of	of	ADP
ijassa-803	107	4	the	the	DET
ijassa-803	107	5	algorithm	algorithm	NOUN
ijassa-803	107	6	decays	decay	VERB
ijassa-803	107	7	for	for	ADP
ijassa-803	107	8	the	the	DET
ijassa-803	107	9	fluctuating	fluctuate	VERB
ijassa-803	107	10	sensor	sensor	NOUN
ijassa-803	107	11	readings	reading	NOUN
ijassa-803	107	12	.	.	PUNCT
ijassa-803	108	1	piecewise	piecewise	NOUN
ijassa-803	108	2	linear	linear	PROPN
ijassa-803	108	3	approximation	approximation	NOUN
ijassa-803	108	4	based	base	VERB
ijassa-803	108	5	scheme	scheme	NOUN
ijassa-803	108	6	with	with	ADP
ijassa-803	108	7	less	less	ADJ
ijassa-803	108	8	number	number	NOUN
ijassa-803	108	9	of	of	ADP
ijassa-803	108	10	line	line	NOUN
ijassa-803	108	11	segments	segment	NOUN
ijassa-803	108	12	(	(	PUNCT
ijassa-803	108	13	plamlis	plamlis	NOUN
ijassa-803	108	14	)	)	PUNCT
ijassa-803	108	15	algorithm	algorithm	NOUN
ijassa-803	108	16	exploits	exploit	NOUN
ijassa-803	108	17	and	and	CCONJ
ijassa-803	108	18	estimates	estimate	VERB
ijassa-803	108	19	minimum	minimum	ADJ
ijassa-803	108	20	variety	variety	NOUN
ijassa-803	108	21	of	of	ADP
ijassa-803	108	22	segments	segment	NOUN
ijassa-803	108	23	to	to	PART
ijassa-803	108	24	approximate	approximate	VERB
ijassa-803	108	25	the	the	DET
ijassa-803	108	26	given	give	VERB
ijassa-803	108	27	statistic	statistic	NOUN
ijassa-803	108	28	.	.	PUNCT
ijassa-803	109	1	the	the	DET
ijassa-803	109	2	error	error	NOUN
ijassa-803	109	3	limit	limit	NOUN
ijassa-803	109	4	[	[	X
ijassa-803	109	5	37	37	NUM
ijassa-803	109	6	]	]	PUNCT
ijassa-803	109	7	is	be	AUX
ijassa-803	109	8	fixed	fix	VERB
ijassa-803	109	9	during	during	ADP
ijassa-803	109	10	the	the	DET
ijassa-803	109	11	compression	compression	NOUN
ijassa-803	109	12	process	process	NOUN
ijassa-803	109	13	and	and	CCONJ
ijassa-803	109	14	the	the	DET
ijassa-803	109	15	difference	difference	NOUN
ijassa-803	109	16	between	between	ADP
ijassa-803	109	17	any	any	DET
ijassa-803	109	18	approximation	approximation	NOUN
ijassa-803	109	19	value	value	NOUN
ijassa-803	109	20	and	and	CCONJ
ijassa-803	109	21	its	its	PRON
ijassa-803	109	22	actual	actual	ADJ
ijassa-803	109	23	value	value	NOUN
ijassa-803	109	24	is	be	AUX
ijassa-803	109	25	maintained	maintain	VERB
ijassa-803	109	26	less	less	ADJ
ijassa-803	109	27	than	than	ADP
ijassa-803	109	28	the	the	DET
ijassa-803	109	29	fixed	fix	VERB
ijassa-803	109	30	limits	limit	NOUN
ijassa-803	109	31	.	.	PUNCT
ijassa-803	110	1	the	the	DET
ijassa-803	110	2	temporal	temporal	ADJ
ijassa-803	110	3	lossy	lossy	ADJ
ijassa-803	110	4	compression	compression	NOUN
ijassa-803	110	5	algorithms	algorithm	NOUN
ijassa-803	110	6	explained	explain	VERB
ijassa-803	110	7	above	above	ADV
ijassa-803	110	8	are	be	AUX
ijassa-803	110	9	well	well	ADV
ijassa-803	110	10	suitable	suitable	ADJ
ijassa-803	110	11	for	for	ADP
ijassa-803	110	12	slowly	slowly	ADV
ijassa-803	110	13	and	and	CCONJ
ijassa-803	110	14	gradually	gradually	ADV
ijassa-803	110	15	varying	vary	VERB
ijassa-803	110	16	signals	signal	NOUN
ijassa-803	110	17	such	such	ADJ
ijassa-803	110	18	as	as	ADP
ijassa-803	110	19	temperature	temperature	NOUN
ijassa-803	110	20	and	and	CCONJ
ijassa-803	110	21	not	not	PART
ijassa-803	110	22	for	for	ADP
ijassa-803	110	23	signals	signal	NOUN
ijassa-803	110	24	such	such	ADJ
ijassa-803	110	25	as	as	ADP
ijassa-803	110	26	vibrations	vibration	NOUN
ijassa-803	110	27	since	since	SCONJ
ijassa-803	110	28	they	they	PRON
ijassa-803	110	29	use	use	VERB
ijassa-803	110	30	piecewise	piecewise	NOUN
ijassa-803	110	31	linear	linear	NOUN
ijassa-803	110	32	representation	representation	NOUN
ijassa-803	110	33	of	of	ADP
ijassa-803	110	34	time	time	NOUN
ijassa-803	110	35	series	series	NOUN
ijassa-803	110	36	.	.	PUNCT
ijassa-803	111	1	also	also	ADV
ijassa-803	111	2	ltc	ltc	NOUN
ijassa-803	111	3	and	and	CCONJ
ijassa-803	111	4	plamlis	plamli	NOUN
ijassa-803	111	5	are	be	AUX
ijassa-803	111	6	compression	compression	NOUN
ijassa-803	111	7	methods	method	NOUN
ijassa-803	111	8	that	that	PRON
ijassa-803	111	9	are	be	AUX
ijassa-803	111	10	not	not	PART
ijassa-803	111	11	effective	effective	ADJ
ijassa-803	111	12	for	for	ADP
ijassa-803	111	13	compression	compression	NOUN
ijassa-803	111	14	of	of	ADP
ijassa-803	111	15	multi	multi	ADJ
ijassa-803	111	16	-	-	ADJ
ijassa-803	111	17	dimensional	dimensional	ADJ
ijassa-803	111	18	or	or	CCONJ
ijassa-803	111	19	multivariate	multivariate	NOUN
ijassa-803	111	20	time	time	NOUN
ijassa-803	111	21	series	series	NOUN
ijassa-803	111	22	.	.	PUNCT
ijassa-803	112	1	the	the	DET
ijassa-803	112	2	work	work	NOUN
ijassa-803	112	3	presented	present	VERB
ijassa-803	112	4	in	in	ADP
ijassa-803	112	5	this	this	DET
ijassa-803	112	6	paper	paper	NOUN
ijassa-803	112	7	presents	present	VERB
ijassa-803	112	8	adoption	adoption	NOUN
ijassa-803	112	9	of	of	ADP
ijassa-803	112	10	enriched	enrich	VERB
ijassa-803	112	11	lasso	lasso	NOUN
ijassa-803	112	12	approximation	approximation	NOUN
ijassa-803	112	13	algorithm	algorithm	NOUN
ijassa-803	112	14	for	for	ADP
ijassa-803	112	15	data	datum	NOUN
ijassa-803	112	16	compression	compression	NOUN
ijassa-803	112	17	.	.	PUNCT
ijassa-803	113	1	the	the	DET
ijassa-803	113	2	algorithm	algorithm	NOUN
ijassa-803	113	3	is	be	AUX
ijassa-803	113	4	best	well	ADV
ijassa-803	113	5	suitable	suitable	ADJ
ijassa-803	113	6	to	to	PART
ijassa-803	113	7	compress	compress	VERB
ijassa-803	113	8	both	both	CCONJ
ijassa-803	113	9	univariate	univariate	ADJ
ijassa-803	113	10	and	and	CCONJ
ijassa-803	113	11	multivariate	multivariate	NOUN
ijassa-803	113	12	signals	signal	NOUN
ijassa-803	113	13	.	.	PUNCT
ijassa-803	114	1	3	3	X
ijassa-803	114	2	.	.	X
ijassa-803	114	3	the	the	DET
ijassa-803	114	4	compression	compression	NOUN
ijassa-803	114	5	algorithm	algorithm	NOUN
ijassa-803	114	6	let	let	VERB
ijassa-803	114	7	the	the	DET
ijassa-803	114	8	one	one	NUM
ijassa-803	114	9	dimensional	dimensional	ADJ
ijassa-803	114	10	signal	signal	NOUN
ijassa-803	114	11	be	be	VERB
ijassa-803	114	12	1	1	NUM
ijassa-803	114	13	2	2	NUM
ijassa-803	114	14	(	(	PUNCT
ijassa-803	114	15	,	,	PUNCT
ijassa-803	114	16	,	,	PUNCT
ijassa-803	114	17	.......	.......	PUNCT
ijassa-803	114	18	)	)	PUNCT
ijassa-803	115	1	ny	ny	PROPN
ijassa-803	115	2	y	y	PROPN
ijassa-803	115	3	y	y	PROPN
ijassa-803	115	4	y	y	PROPN
ijassa-803	115	5	observed	observe	VERB
ijassa-803	115	6	or	or	CCONJ
ijassa-803	115	7	sensed	sense	VERB
ijassa-803	115	8	at	at	ADP
ijassa-803	115	9	times	time	NOUN
ijassa-803	115	10	1	1	NUM
ijassa-803	115	11	2	2	NUM
ijassa-803	115	12	1	1	NUM
ijassa-803	115	13	2	2	NUM
ijassa-803	115	14	(	(	PUNCT
ijassa-803	115	15	,	,	PUNCT
ijassa-803	115	16	,	,	PUNCT
ijassa-803	115	17	.......	.......	PUNCT
ijassa-803	115	18	)	)	PUNCT
ijassa-803	115	19	...	...	PUNCT
ijassa-803	116	1	n	n	CCONJ
ijassa-803	116	2	nt	not	PART
ijassa-803	116	3	t	t	PROPN
ijassa-803	116	4	t	t	PROPN
ijassa-803	116	5	t	t	PROPN
ijassa-803	116	6	where	where	SCONJ
ijassa-803	116	7	t	t	PROPN
ijassa-803	116	8	t	t	PROPN
ijassa-803	116	9	t	t	PROPN
ijassa-803	116	10	�	�	PROPN
ijassa-803	116	11	�	�	PROPN
ijassa-803	116	12	�	�	PROPN
ijassa-803	116	13	.	.	PUNCT
ijassa-803	117	1	that	that	PRON
ijassa-803	117	2	is	be	AUX
ijassa-803	117	3	the	the	DET
ijassa-803	117	4	signal	signal	NOUN
ijassa-803	117	5	iy	iy	PROPN
ijassa-803	117	6	is	be	AUX
ijassa-803	117	7	measured	measure	VERB
ijassa-803	117	8	at	at	ADP
ijassa-803	117	9	a	a	DET
ijassa-803	117	10	time	time	NOUN
ijassa-803	117	11	it	it	PRON
ijassa-803	117	12	,	,	PUNCT
ijassa-803	117	13	by	by	ADP
ijassa-803	117	14	the	the	DET
ijassa-803	117	15	sensor	sensor	NOUN
ijassa-803	117	16	.	.	PUNCT
ijassa-803	118	1	we	we	PRON
ijassa-803	118	2	can	can	AUX
ijassa-803	118	3	say	say	VERB
ijassa-803	118	4	that	that	SCONJ
ijassa-803	118	5	the	the	DET
ijassa-803	118	6	reading	reading	NOUN
ijassa-803	118	7	of	of	ADP
ijassa-803	118	8	accelerometer	accelerometer	PROPN
ijassa-803	118	9	y	y	PROPN
ijassa-803	118	10	used	use	VERB
ijassa-803	118	11	to	to	PART
ijassa-803	118	12	measure	measure	VERB
ijassa-803	118	13	the	the	DET
ijassa-803	118	14	acceleration	acceleration	NOUN
ijassa-803	118	15	of	of	ADP
ijassa-803	118	16	an	an	DET
ijassa-803	118	17	equipment	equipment	NOUN
ijassa-803	118	18	during	during	ADP
ijassa-803	118	19	a	a	DET
ijassa-803	118	20	seismic	seismic	ADJ
ijassa-803	118	21	test	test	NOUN
ijassa-803	118	22	in	in	ADP
ijassa-803	118	23	the	the	DET
ijassa-803	118	24	time	time	NOUN
ijassa-803	118	25	duration	duration	NOUN
ijassa-803	118	26	1	1	NUM
ijassa-803	118	27	0	0	NUM
ijassa-803	118	28	30nt	30nt	NOUN
ijassa-803	118	29	s	s	PART
ijassa-803	118	30	and	and	CCONJ
ijassa-803	118	31	t	t	PROPN
ijassa-803	118	32	s	s	PART
ijassa-803	118	33	.	.	PUNCT
ijassa-803	119	1	it	it	PRON
ijassa-803	119	2	can	can	AUX
ijassa-803	119	3	be	be	AUX
ijassa-803	119	4	seen	see	VERB
ijassa-803	119	5	that	that	SCONJ
ijassa-803	119	6	the	the	DET
ijassa-803	119	7	values	value	NOUN
ijassa-803	119	8	measured	measure	VERB
ijassa-803	119	9	by	by	ADP
ijassa-803	119	10	y	y	PROPN
ijassa-803	119	11	will	will	AUX
ijassa-803	119	12	be	be	AUX
ijassa-803	119	13	varying	vary	VERB
ijassa-803	119	14	during	during	ADP
ijassa-803	119	15	every	every	DET
ijassa-803	119	16	time	time	NOUN
ijassa-803	119	17	instant	instant	NOUN
ijassa-803	119	18	in	in	ADP
ijassa-803	119	19	a	a	DET
ijassa-803	119	20	given	give	VERB
ijassa-803	119	21	time	time	NOUN
ijassa-803	119	22	limit	limit	PROPN
ijassa-803	119	23	t	t	PROPN
ijassa-803	119	24	,	,	PUNCT
ijassa-803	119	25	every	every	DET
ijassa-803	119	26	values	value	NOUN
ijassa-803	119	27	of	of	ADP
ijassa-803	119	28	y	y	PROPN
ijassa-803	119	29	captured	capture	VERB
ijassa-803	119	30	by	by	ADP
ijassa-803	119	31	the	the	DET
ijassa-803	119	32	sensor	sensor	NOUN
ijassa-803	119	33	in	in	ADP
ijassa-803	119	34	the	the	DET
ijassa-803	119	35	time	time	NOUN
ijassa-803	119	36	interval	interval	NOUN
ijassa-803	119	37	t	t	PROPN
ijassa-803	119	38	should	should	AUX
ijassa-803	119	39	be	be	AUX
ijassa-803	119	40	acquired	acquire	VERB
ijassa-803	119	41	for	for	ADP
ijassa-803	119	42	monitoring	monitoring	NOUN
ijassa-803	119	43	and	and	CCONJ
ijassa-803	119	44	stored	store	VERB
ijassa-803	119	45	for	for	ADP
ijassa-803	119	46	further	further	ADJ
ijassa-803	119	47	studies	study	NOUN
ijassa-803	119	48	,	,	PUNCT
ijassa-803	119	49	analysis	analysis	NOUN
ijassa-803	119	50	,	,	PUNCT
ijassa-803	119	51	modelling	modelling	NOUN
ijassa-803	119	52	and	and	CCONJ
ijassa-803	119	53	development	development	NOUN
ijassa-803	119	54	.	.	PUNCT
ijassa-803	120	1	furthermore	furthermore	ADV
ijassa-803	120	2	,	,	PUNCT
ijassa-803	120	3	it	it	PRON
ijassa-803	120	4	can	can	AUX
ijassa-803	120	5	be	be	AUX
ijassa-803	120	6	for	for	ADP
ijassa-803	120	7	a	a	DET
ijassa-803	120	8	sequence	sequence	NOUN
ijassa-803	120	9	of	of	ADP
ijassa-803	120	10	instances	instance	NOUN
ijassa-803	120	11	the	the	DET
ijassa-803	120	12	change	change	NOUN
ijassa-803	120	13	in	in	ADP
ijassa-803	120	14	values	value	NOUN
ijassa-803	120	15	of	of	ADP
ijassa-803	120	16	y	y	PROPN
ijassa-803	120	17	can	can	AUX
ijassa-803	120	18	be	be	AUX
ijassa-803	120	19	of	of	ADP
ijassa-803	120	20	less	less	ADJ
ijassa-803	120	21	significance	significance	NOUN
ijassa-803	120	22	.	.	PUNCT
ijassa-803	121	1	in	in	ADP
ijassa-803	121	2	this	this	DET
ijassa-803	121	3	case	case	NOUN
ijassa-803	121	4	,	,	PUNCT
ijassa-803	121	5	if	if	SCONJ
ijassa-803	121	6	the	the	DET
ijassa-803	121	7	data	datum	NOUN
ijassa-803	121	8	read	read	VERB
ijassa-803	121	9	in	in	ADP
ijassa-803	121	10	during	during	ADP
ijassa-803	121	11	the	the	DET
ijassa-803	121	12	time	time	NOUN
ijassa-803	121	13	between	between	ADP
ijassa-803	121	14	p	p	NOUN
ijassa-803	121	15	qt	qt	NOUN
ijassa-803	121	16	and	and	CCONJ
ijassa-803	121	17	t	t	PROPN
ijassa-803	121	18	is	be	AUX
ijassa-803	121	19	such	such	ADJ
ijassa-803	121	20	that	that	SCONJ
ijassa-803	121	21	1	1	NUM
ijassa-803	121	22	......	......	PUNCT
ijassa-803	121	23	p	p	X
ijassa-803	121	24	p	p	PROPN
ijassa-803	121	25	qy	qy	PROPN
ijassa-803	121	26	y	y	PROPN
ijassa-803	121	27	y	y	PROPN
ijassa-803	121	28	�	�	PROPN
ijassa-803	121	29	for	for	ADP
ijassa-803	121	30	some	some	DET
ijassa-803	121	31	p	p	DET
ijassa-803	121	32	q	q	X
ijassa-803	121	33	�	�	PROPN
ijassa-803	121	34	.	.	PUNCT
ijassa-803	122	1	in	in	ADP
ijassa-803	122	2	this	this	DET
ijassa-803	122	3	scenario	scenario	NOUN
ijassa-803	122	4	,	,	PUNCT
ijassa-803	122	5	we	we	PRON
ijassa-803	122	6	could	could	AUX
ijassa-803	122	7	eliminate	eliminate	VERB
ijassa-803	122	8	the	the	DET
ijassa-803	122	9	data	datum	NOUN
ijassa-803	122	10	observed	observe	VERB
ijassa-803	122	11	during	during	ADP
ijassa-803	122	12	the	the	DET
ijassa-803	122	13	time	time	NOUN
ijassa-803	122	14	p	p	NOUN
ijassa-803	122	15	and	and	CCONJ
ijassa-803	122	16	q	q	NOUN
ijassa-803	122	17	and	and	CCONJ
ijassa-803	122	18	store	store	VERB
ijassa-803	122	19	the	the	DET
ijassa-803	122	20	reading	reading	NOUN
ijassa-803	122	21	,	,	PUNCT
ijassa-803	122	22	1	1	NUM
ijassa-803	122	23	(	(	PUNCT
ijassa-803	122	24	...	...	PUNCT
ijassa-803	122	25	....	....	PUNCT
ijassa-803	122	26	)	)	PUNCT
ijassa-803	123	1	p	p	PROPN
ijassa-803	123	2	qy	qy	PROPN
ijassa-803	123	3	y	y	PROPN
ijassa-803	123	4	y	y	PROPN
ijassa-803	123	5	�	�	PROPN
ijassa-803	123	6	in	in	ADP
ijassa-803	123	7	the	the	DET
ijassa-803	123	8	data	data	NOUN
ijassa-803	123	9	base	base	NOUN
ijassa-803	123	10	corresponding	correspond	VERB
ijassa-803	123	11	to	to	ADP
ijassa-803	123	12	instances	instance	NOUN
ijassa-803	123	13	,	,	PUNCT
ijassa-803	123	14	1	1	NUM
ijassa-803	123	15	(	(	PUNCT
ijassa-803	123	16	...	...	PUNCT
ijassa-803	123	17	....	....	PUNCT
ijassa-803	123	18	)	)	PUNCT
ijassa-803	124	1	p	p	NOUN
ijassa-803	124	2	qt	qt	PROPN
ijassa-803	124	3	t	t	PROPN
ijassa-803	124	4	t	t	PROPN
ijassa-803	124	5	�	�	PROPN
ijassa-803	124	6	.	.	PUNCT
ijassa-803	125	1	thus	thus	ADV
ijassa-803	125	2	data	datum	NOUN
ijassa-803	125	3	sensed	sense	VERB
ijassa-803	125	4	in	in	ADP
ijassa-803	125	5	the	the	DET
ijassa-803	125	6	time	time	NOUN
ijassa-803	125	7	frame	frame	NOUN
ijassa-803	125	8	p	p	NOUN
ijassa-803	125	9	qt	qt	NOUN
ijassa-803	125	10	and	and	CCONJ
ijassa-803	125	11	t	t	PROPN
ijassa-803	125	12	is	be	AUX
ijassa-803	125	13	not	not	PART
ijassa-803	125	14	varying	vary	VERB
ijassa-803	125	15	vastly	vastly	ADV
ijassa-803	125	16	,	,	PUNCT
ijassa-803	125	17	we	we	PRON
ijassa-803	125	18	can	can	AUX
ijassa-803	125	19	be	be	AUX
ijassa-803	125	20	able	able	ADJ
ijassa-803	125	21	to	to	PART
ijassa-803	125	22	store	store	VERB
ijassa-803	125	23	the	the	DET
ijassa-803	125	24	space	space	NOUN
ijassa-803	125	25	required	require	VERB
ijassa-803	125	26	to	to	PART
ijassa-803	125	27	store	store	VERB
ijassa-803	125	28	p	p	DET
ijassa-803	125	29	q	q	ADJ
ijassa-803	125	30	�	�	PROPN
ijassa-803	125	31	recorded	record	VERB
ijassa-803	125	32	sensor	sensor	NOUN
ijassa-803	125	33	values	value	NOUN
ijassa-803	125	34	and	and	CCONJ
ijassa-803	125	35	also	also	ADV
ijassa-803	125	36	the	the	DET
ijassa-803	125	37	time	time	NOUN
ijassa-803	125	38	stamps	stamp	NOUN
ijassa-803	125	39	.	.	PUNCT
ijassa-803	126	1	thus	thus	ADV
ijassa-803	126	2	reducing	reduce	VERB
ijassa-803	126	3	the	the	DET
ijassa-803	126	4	storage	storage	NOUN
ijassa-803	126	5	requirements	requirement	NOUN
ijassa-803	126	6	also	also	ADV
ijassa-803	126	7	reduces	reduce	VERB
ijassa-803	126	8	the	the	DET
ijassa-803	126	9	energy	energy	NOUN
ijassa-803	126	10	required	require	VERB
ijassa-803	126	11	for	for	ADP
ijassa-803	126	12	transmitting	transmit	VERB
ijassa-803	126	13	the	the	DET
ijassa-803	126	14	data	datum	NOUN
ijassa-803	126	15	.	.	PUNCT
ijassa-803	127	1	in	in	ADP
ijassa-803	127	2	addition	addition	NOUN
ijassa-803	127	3	a	a	DET
ijassa-803	127	4	very	very	ADV
ijassa-803	127	5	significant	significant	ADJ
ijassa-803	127	6	economic	economic	ADJ
ijassa-803	127	7	benefit	benefit	NOUN
ijassa-803	127	8	in	in	ADP
ijassa-803	127	9	developing	develop	VERB
ijassa-803	127	10	the	the	DET
ijassa-803	127	11	sensor	sensor	NOUN
ijassa-803	127	12	network	network	NOUN
ijassa-803	127	13	can	can	AUX
ijassa-803	127	14	also	also	ADV
ijassa-803	127	15	be	be	AUX
ijassa-803	127	16	achieved	achieve	VERB
ijassa-803	127	17	.	.	PUNCT
ijassa-803	128	1	in	in	ADP
ijassa-803	128	2	practical	practical	ADJ
ijassa-803	128	3	installations	installation	NOUN
ijassa-803	128	4	,	,	PUNCT
ijassa-803	128	5	the	the	DET
ijassa-803	128	6	values	value	NOUN
ijassa-803	128	7	read	read	VERB
ijassa-803	128	8	by	by	ADP
ijassa-803	128	9	the	the	DET
ijassa-803	128	10	sensors	sensor	NOUN
ijassa-803	128	11	may	may	AUX
ijassa-803	128	12	be	be	AUX
ijassa-803	128	13	with	with	ADP
ijassa-803	128	14	slight	slight	ADJ
ijassa-803	128	15	variations	variation	NOUN
ijassa-803	128	16	and	and	CCONJ
ijassa-803	128	17	will	will	AUX
ijassa-803	128	18	not	not	PART
ijassa-803	128	19	be	be	AUX
ijassa-803	128	20	constant	constant	ADJ
ijassa-803	128	21	in	in	ADP
ijassa-803	128	22	a	a	DET
ijassa-803	128	23	particular	particular	ADJ
ijassa-803	128	24	time	time	NOUN
ijassa-803	128	25	period	period	NOUN
ijassa-803	128	26	(	(	PUNCT
ijassa-803	128	27	,	,	PUNCT
ijassa-803	128	28	)	)	PUNCT
ijassa-803	128	29	p	p	NOUN
ijassa-803	128	30	qt	qt	PROPN
ijassa-803	128	31	t	t	PROPN
ijassa-803	128	32	.	.	PUNCT
ijassa-803	129	1	in	in	ADP
ijassa-803	129	2	such	such	ADJ
ijassa-803	129	3	cases	case	NOUN
ijassa-803	129	4	,	,	PUNCT
ijassa-803	129	5	the	the	DET
ijassa-803	129	6	size	size	NOUN
ijassa-803	129	7	can	can	AUX
ijassa-803	129	8	not	not	PART
ijassa-803	129	9	be	be	AUX
ijassa-803	129	10	reduced	reduce	VERB
ijassa-803	129	11	just	just	ADV
ijassa-803	129	12	by	by	ADP
ijassa-803	129	13	eliminating	eliminate	VERB
ijassa-803	129	14	the	the	DET
ijassa-803	129	15	data	datum	NOUN
ijassa-803	129	16	,	,	PUNCT
ijassa-803	129	17	to	to	PART
ijassa-803	129	18	compress	compress	VERB
ijassa-803	129	19	the	the	DET
ijassa-803	129	20	data	datum	NOUN
ijassa-803	129	21	that	that	PRON
ijassa-803	129	22	are	be	AUX
ijassa-803	129	23	varying	vary	VERB
ijassa-803	129	24	continuously	continuously	ADV
ijassa-803	129	25	,	,	PUNCT
ijassa-803	129	26	an	an	DET
ijassa-803	129	27	efficient	efficient	ADJ
ijassa-803	129	28	algorithm	algorithm	NOUN
ijassa-803	129	29	derived	derive	VERB
ijassa-803	129	30	from	from	ADP
ijassa-803	129	31	lasso	lasso	ADJ
ijassa-803	129	32	regularization	regularization	NOUN
ijassa-803	129	33	[	[	X
ijassa-803	129	34	38	38	NUM
ijassa-803	129	35	]	]	PUNCT
ijassa-803	129	36	is	be	AUX
ijassa-803	129	37	presented	present	VERB
ijassa-803	129	38	.	.	PUNCT
ijassa-803	130	1	previously	previously	ADV
ijassa-803	130	2	lasso	lasso	ADJ
ijassa-803	130	3	approximation	approximation	NOUN
ijassa-803	130	4	has	have	AUX
ijassa-803	130	5	been	be	AUX
ijassa-803	130	6	applied	apply	VERB
ijassa-803	130	7	to	to	PART
ijassa-803	130	8	order	order	VERB
ijassa-803	130	9	the	the	DET
ijassa-803	130	10	features	feature	NOUN
ijassa-803	130	11	in	in	ADP
ijassa-803	130	12	a	a	DET
ijassa-803	130	13	meaningful	meaningful	ADJ
ijassa-803	130	14	sequence	sequence	NOUN
ijassa-803	130	15	in	in	ADP
ijassa-803	130	16	applications	application	NOUN
ijassa-803	130	17	such	such	ADJ
ijassa-803	130	18	as	as	ADP
ijassa-803	130	19	comparative	comparative	ADJ
ijassa-803	130	20	prostate	prostate	NOUN
ijassa-803	130	21	cancer	cancer	NOUN
ijassa-803	130	22	analysis	analysis	NOUN
ijassa-803	130	23	[	[	X
ijassa-803	130	24	39	39	NUM
ijassa-803	130	25	]	]	PUNCT
ijassa-803	130	26	,	,	PUNCT
ijassa-803	130	27	genomic	genomic	ADJ
ijassa-803	130	28	hybridization	hybridization	NOUN
ijassa-803	131	1	[	[	X
ijassa-803	131	2	40	40	NUM
ijassa-803	131	3	]	]	PUNCT
ijassa-803	131	4	and	and	CCONJ
ijassa-803	131	5	timevarying	timevarye	VERB
ijassa-803	131	6	networks	network	NOUN
ijassa-803	131	7	[	[	X
ijassa-803	131	8	41	41	NUM
ijassa-803	131	9	]	]	PUNCT
ijassa-803	131	10	.	.	PUNCT
ijassa-803	132	1	from	from	ADP
ijassa-803	132	2	the	the	DET
ijassa-803	132	3	literature	literature	NOUN
ijassa-803	132	4	it	it	PRON
ijassa-803	132	5	is	be	AUX
ijassa-803	132	6	evident	evident	ADJ
ijassa-803	132	7	that	that	SCONJ
ijassa-803	132	8	the	the	DET
ijassa-803	132	9	basic	basic	ADJ
ijassa-803	132	10	lasso	lasso	NOUN
ijassa-803	132	11	-	-	PUNCT
ijassa-803	132	12	based	base	VERB
ijassa-803	132	13	algorithms	algorithm	NOUN
ijassa-803	132	14	assume	assume	VERB
ijassa-803	132	15	restricted	restrict	VERB
ijassa-803	132	16	freedom	freedom	NOUN
ijassa-803	132	17	among	among	ADP
ijassa-803	132	18	the	the	DET
ijassa-803	132	19	variables	variable	NOUN
ijassa-803	132	20	,	,	PUNCT
ijassa-803	132	21	and	and	CCONJ
ijassa-803	132	22	their	their	PRON
ijassa-803	132	23	idea	idea	NOUN
ijassa-803	132	24	is	be	AUX
ijassa-803	132	25	to	to	PART
ijassa-803	132	26	perform	perform	VERB
ijassa-803	132	27	regression	regression	NOUN
ijassa-803	132	28	separately	separately	ADV
ijassa-803	132	29	for	for	ADP
ijassa-803	132	30	each	each	DET
ijassa-803	132	31	response	response	NOUN
ijassa-803	132	32	vector	vector	NOUN
ijassa-803	132	33	rather	rather	ADV
ijassa-803	132	34	than	than	ADP
ijassa-803	132	35	performing	perform	VERB
ijassa-803	132	36	it	it	PRON
ijassa-803	132	37	jointly	jointly	ADV
ijassa-803	132	38	for	for	ADP
ijassa-803	132	39	all	all	DET
ijassa-803	132	40	the	the	DET
ijassa-803	132	41	response	response	NOUN
ijassa-803	132	42	vectors	vector	NOUN
ijassa-803	132	43	.	.	PUNCT
ijassa-803	133	1	as	as	ADP
ijassa-803	133	2	a	a	DET
ijassa-803	133	3	result	result	NOUN
ijassa-803	133	4	they	they	PRON
ijassa-803	133	5	perform	perform	VERB
ijassa-803	133	6	only	only	ADV
ijassa-803	133	7	data	datum	NOUN
ijassa-803	133	8	approximation	approximation	NOUN
ijassa-803	133	9	and	and	CCONJ
ijassa-803	133	10	representation	representation	NOUN
ijassa-803	133	11	.	.	PUNCT
ijassa-803	134	1	compression	compression	NOUN
ijassa-803	134	2	of	of	ADP
ijassa-803	134	3	signal	signal	NOUN
ijassa-803	134	4	y	y	PROPN
ijassa-803	134	5	is	be	AUX
ijassa-803	134	6	attained	attain	VERB
ijassa-803	134	7	by	by	ADP
ijassa-803	134	8	eradicating	eradicate	VERB
ijassa-803	134	9	the	the	DET
ijassa-803	134	10	small	small	ADJ
ijassa-803	134	11	differences	difference	NOUN
ijassa-803	134	12	in	in	ADP
ijassa-803	134	13	the	the	DET
ijassa-803	134	14	signal	signal	NOUN
ijassa-803	134	15	.	.	PUNCT
ijassa-803	135	1	the	the	DET
ijassa-803	135	2	signal	signal	NOUN
ijassa-803	135	3	x	x	PUNCT
ijassa-803	135	4	a	a	DET
ijassa-803	135	5	smoother	smooth	ADJ
ijassa-803	135	6	approximation	approximation	NOUN
ijassa-803	135	7	of	of	ADP
ijassa-803	135	8	signal	signal	PROPN
ijassa-803	135	9	y	y	PROPN
ijassa-803	135	10	is	be	AUX
ijassa-803	135	11	computed	compute	VERB
ijassa-803	135	12	by	by	ADP
ijassa-803	135	13	minimizing	minimize	VERB
ijassa-803	135	14	the	the	DET
ijassa-803	135	15	differences	difference	NOUN
ijassa-803	135	16	between	between	ADP
ijassa-803	135	17	data	datum	NOUN
ijassa-803	135	18	at	at	ADP
ijassa-803	135	19	adjacent	adjacent	ADJ
ijassa-803	135	20	time	time	NOUN
ijassa-803	135	21	intervals	interval	NOUN
ijassa-803	135	22	.	.	PUNCT
ijassa-803	136	1	many	many	ADJ
ijassa-803	136	2	algorithms	algorithm	NOUN
ijassa-803	136	3	have	have	AUX
ijassa-803	136	4	been	be	AUX
ijassa-803	136	5	proposed	propose	VERB
ijassa-803	136	6	and	and	CCONJ
ijassa-803	136	7	much	much	ADJ
ijassa-803	136	8	improvement	improvement	NOUN
ijassa-803	136	9	has	have	AUX
ijassa-803	136	10	been	be	AUX
ijassa-803	136	11	established	establish	VERB
ijassa-803	136	12	in	in	ADP
ijassa-803	136	13	the	the	DET
ijassa-803	136	14	basic	basic	ADJ
ijassa-803	136	15	lasso	lasso	NOUN
ijassa-803	136	16	,	,	PUNCT
ijassa-803	136	17	but	but	CCONJ
ijassa-803	136	18	the	the	DET
ijassa-803	136	19	achieved	achieve	VERB
ijassa-803	136	20	response	response	NOUN
ijassa-803	136	21	may	may	AUX
ijassa-803	136	22	not	not	PART
ijassa-803	136	23	be	be	AUX
ijassa-803	136	24	the	the	DET
ijassa-803	136	25	optimum	optimum	NOUN
ijassa-803	136	26	.	.	PUNCT
ijassa-803	137	1	the	the	DET
ijassa-803	137	2	lasso	lasso	NOUN
ijassa-803	137	3	based	base	VERB
ijassa-803	137	4	algorithms	algorithms	PROPN
ijassa-803	137	5	70	70	NUM
ijassa-803	137	6	anitha	anitha	PROPN
ijassa-803	137	7	k.	k.	PROPN
ijassa-803	137	8	,	,	PUNCT
ijassa-803	137	9	jaison	jaison	PROPN
ijassa-803	137	10	b.	b.	PROPN
ijassa-803	137	11	,	,	PUNCT
ijassa-803	137	12	nalini	nalini	PROPN
ijassa-803	137	13	m.	m.	PROPN
ijassa-803	137	14	,	,	PUNCT
ijassa-803	137	15	shiny	shiny	PROPN
ijassa-803	137	16	irene	irene	PROPN
ijassa-803	137	17	d.	d.	PROPN
ijassa-803	137	18	copyright	copyright	PROPN
ijassa-803	137	19	©	©	PROPN
ijassa-803	137	20	2020	2020	NUM
ijassa-803	137	21	assa	assa	PROPN
ijassa-803	137	22	adv	adv	PROPN
ijassa-803	137	23	.	.	PUNCT
ijassa-803	138	1	in	in	ADP
ijassa-803	138	2	systems	system	NOUN
ijassa-803	138	3	science	science	NOUN
ijassa-803	138	4	and	and	CCONJ
ijassa-803	138	5	appl	appl	NOUN
ijassa-803	138	6	.	.	PUNCT
ijassa-803	139	1	(	(	PUNCT
ijassa-803	139	2	2020	2020	NUM
ijassa-803	139	3	)	)	PUNCT
ijassa-803	139	4	considers	consider	VERB
ijassa-803	139	5	the	the	DET
ijassa-803	139	6	correlations	correlation	NOUN
ijassa-803	139	7	between	between	ADP
ijassa-803	139	8	the	the	DET
ijassa-803	139	9	data	data	NOUN
ijassa-803	139	10	points	point	NOUN
ijassa-803	139	11	and	and	CCONJ
ijassa-803	139	12	computes	compute	VERB
ijassa-803	139	13	an	an	DET
ijassa-803	139	14	approximate	approximate	ADJ
ijassa-803	139	15	signal	signal	NOUN
ijassa-803	139	16	x	x	PUNCT
ijassa-803	139	17	of	of	ADP
ijassa-803	139	18	signal	signal	PROPN
ijassa-803	139	19	y	y	PROPN
ijassa-803	139	20	.	.	PUNCT
ijassa-803	140	1	the	the	DET
ijassa-803	140	2	lasso	lasso	NOUN
ijassa-803	140	3	algorithm	algorithm	NOUN
ijassa-803	140	4	performs	perform	VERB
ijassa-803	140	5	well	well	ADV
ijassa-803	140	6	if	if	SCONJ
ijassa-803	140	7	the	the	DET
ijassa-803	140	8	sensor	sensor	NOUN
ijassa-803	140	9	data	datum	NOUN
ijassa-803	140	10	has	have	VERB
ijassa-803	140	11	less	less	ADJ
ijassa-803	140	12	variance	variance	NOUN
ijassa-803	140	13	and	and	CCONJ
ijassa-803	140	14	its	its	PRON
ijassa-803	140	15	performance	performance	NOUN
ijassa-803	140	16	decays	decay	VERB
ijassa-803	140	17	with	with	ADP
ijassa-803	140	18	increased	increase	VERB
ijassa-803	140	19	variance	variance	NOUN
ijassa-803	140	20	between	between	ADP
ijassa-803	140	21	the	the	DET
ijassa-803	140	22	data	data	NOUN
ijassa-803	140	23	points	point	NOUN
ijassa-803	140	24	in	in	ADP
ijassa-803	140	25	sensor	sensor	NOUN
ijassa-803	140	26	data	datum	NOUN
ijassa-803	140	27	set	set	VERB
ijassa-803	140	28	.	.	PUNCT
ijassa-803	141	1	to	to	PART
ijassa-803	141	2	improve	improve	VERB
ijassa-803	141	3	and	and	CCONJ
ijassa-803	141	4	achieve	achieve	VERB
ijassa-803	141	5	a	a	DET
ijassa-803	141	6	generalized	generalized	ADJ
ijassa-803	141	7	results	result	NOUN
ijassa-803	141	8	,	,	PUNCT
ijassa-803	141	9	it	it	PRON
ijassa-803	141	10	is	be	AUX
ijassa-803	141	11	necessary	necessary	ADJ
ijassa-803	141	12	to	to	PART
ijassa-803	141	13	consider	consider	VERB
ijassa-803	141	14	the	the	DET
ijassa-803	141	15	correlation	correlation	NOUN
ijassa-803	141	16	between	between	ADP
ijassa-803	141	17	the	the	DET
ijassa-803	141	18	data	data	NOUN
ijassa-803	141	19	points	point	NOUN
ijassa-803	141	20	in	in	ADP
ijassa-803	141	21	the	the	DET
ijassa-803	141	22	data	datum	NOUN
ijassa-803	141	23	set	set	VERB
ijassa-803	141	24	and	and	CCONJ
ijassa-803	141	25	correlation	correlation	NOUN
ijassa-803	141	26	between	between	ADP
ijassa-803	141	27	data	datum	NOUN
ijassa-803	141	28	points	point	NOUN
ijassa-803	141	29	and	and	CCONJ
ijassa-803	141	30	response	response	NOUN
ijassa-803	141	31	.	.	PUNCT
ijassa-803	142	1	in	in	ADP
ijassa-803	142	2	view	view	NOUN
ijassa-803	142	3	of	of	ADP
ijassa-803	142	4	above	above	ADV
ijassa-803	142	5	mentioned	mention	VERB
ijassa-803	142	6	issues	issue	NOUN
ijassa-803	142	7	in	in	ADP
ijassa-803	142	8	existing	exist	VERB
ijassa-803	142	9	lasso	lasso	NOUN
ijassa-803	142	10	-	-	PUNCT
ijassa-803	142	11	type	type	NOUN
ijassa-803	142	12	approximation	approximation	NOUN
ijassa-803	142	13	methods	method	NOUN
ijassa-803	142	14	,	,	PUNCT
ijassa-803	142	15	an	an	DET
ijassa-803	142	16	enhanced	enhanced	ADJ
ijassa-803	142	17	lasso	lasso	NOUN
ijassa-803	142	18	(	(	PUNCT
ijassa-803	142	19	referred	refer	VERB
ijassa-803	142	20	to	to	ADP
ijassa-803	142	21	as	as	ADP
ijassa-803	142	22	mlasso	mlasso	NOUN
ijassa-803	142	23	)	)	PUNCT
ijassa-803	142	24	is	be	AUX
ijassa-803	142	25	proposed	propose	VERB
ijassa-803	142	26	for	for	ADP
ijassa-803	142	27	data	data	NOUN
ijassa-803	142	28	compression	compression	NOUN
ijassa-803	142	29	.	.	PUNCT
ijassa-803	143	1	this	this	DET
ijassa-803	143	2	algorithm	algorithm	NOUN
ijassa-803	143	3	not	not	PART
ijassa-803	143	4	only	only	ADV
ijassa-803	143	5	discovers	discover	VERB
ijassa-803	143	6	the	the	DET
ijassa-803	143	7	correlations	correlation	NOUN
ijassa-803	143	8	between	between	ADP
ijassa-803	143	9	the	the	DET
ijassa-803	143	10	data	data	NOUN
ijassa-803	143	11	points	point	NOUN
ijassa-803	143	12	and	and	CCONJ
ijassa-803	143	13	the	the	DET
ijassa-803	143	14	response	response	NOUN
ijassa-803	143	15	,	,	PUNCT
ijassa-803	143	16	in	in	ADP
ijassa-803	143	17	addition	addition	NOUN
ijassa-803	143	18	also	also	ADV
ijassa-803	143	19	discriminates	discriminate	VERB
ijassa-803	143	20	similar	similar	ADJ
ijassa-803	143	21	data	datum	NOUN
ijassa-803	143	22	points	point	NOUN
ijassa-803	143	23	.	.	PUNCT
ijassa-803	144	1	this	this	DET
ijassa-803	144	2	characteristics	characteristic	NOUN
ijassa-803	144	3	of	of	ADP
ijassa-803	144	4	the	the	DET
ijassa-803	144	5	algorithm	algorithm	NOUN
ijassa-803	144	6	differentiates	differentiate	VERB
ijassa-803	144	7	the	the	DET
ijassa-803	144	8	proposed	propose	VERB
ijassa-803	144	9	algorithm	algorithm	NOUN
ijassa-803	144	10	from	from	ADP
ijassa-803	144	11	the	the	DET
ijassa-803	144	12	rest	rest	NOUN
ijassa-803	144	13	of	of	ADP
ijassa-803	144	14	lasso	lasso	NOUN
ijassa-803	144	15	based	base	VERB
ijassa-803	144	16	algorithms	algorithm	NOUN
ijassa-803	144	17	.	.	PUNCT
ijassa-803	145	1	the	the	DET
ijassa-803	145	2	proposed	propose	VERB
ijassa-803	145	3	mlasso	mlasso	PROPN
ijassa-803	145	4	method	method	NOUN
ijassa-803	145	5	uses	use	VERB
ijassa-803	145	6	a	a	DET
ijassa-803	145	7	novel	novel	ADJ
ijassa-803	145	8	graph	graph	NOUN
ijassa-803	145	9	regularizer	regularizer	NOUN
ijassa-803	145	10	on	on	ADP
ijassa-803	145	11	the	the	DET
ijassa-803	145	12	data	data	NOUN
ijassa-803	145	13	points	point	NOUN
ijassa-803	145	14	which	which	PRON
ijassa-803	145	15	simultaneously	simultaneously	ADV
ijassa-803	145	16	considers	consider	VERB
ijassa-803	145	17	the	the	DET
ijassa-803	145	18	‘	'	PUNCT
ijassa-803	145	19	response	response	NOUN
ijassa-803	145	20	-	-	PUNCT
ijassa-803	145	21	data	data	NOUN
ijassa-803	145	22	point	point	NOUN
ijassa-803	145	23	correlation	correlation	NOUN
ijassa-803	145	24	’	'	PUNCT
ijassa-803	145	25	and	and	CCONJ
ijassa-803	145	26	the	the	DET
ijassa-803	145	27	‘	'	PUNCT
ijassa-803	145	28	data	datum	NOUN
ijassa-803	145	29	point	point	NOUN
ijassa-803	145	30	-	-	PUNCT
ijassa-803	145	31	data	data	NOUN
ijassa-803	145	32	point	point	NOUN
ijassa-803	145	33	correlation	correlation	NOUN
ijassa-803	145	34	’	'	PUNCT
ijassa-803	145	35	in	in	ADP
ijassa-803	145	36	the	the	DET
ijassa-803	145	37	data	datum	NOUN
ijassa-803	145	38	.	.	PUNCT
ijassa-803	146	1	in	in	ADP
ijassa-803	146	2	this	this	DET
ijassa-803	146	3	work	work	NOUN
ijassa-803	146	4	alternating	alternate	VERB
ijassa-803	146	5	direction	direction	NOUN
ijassa-803	146	6	method	method	NOUN
ijassa-803	146	7	of	of	ADP
ijassa-803	146	8	multipliers	multiplier	NOUN
ijassa-803	146	9	(	(	PUNCT
ijassa-803	146	10	admm	admm	NOUN
ijassa-803	146	11	)	)	PUNCT
ijassa-803	146	12	is	be	AUX
ijassa-803	146	13	employed	employ	VERB
ijassa-803	146	14	to	to	PART
ijassa-803	146	15	optimize	optimize	VERB
ijassa-803	146	16	the	the	DET
ijassa-803	146	17	mlasso	mlasso	PROPN
ijassa-803	146	18	algorithm	algorithm	NOUN
ijassa-803	146	19	method	method	NOUN
ijassa-803	146	20	and	and	CCONJ
ijassa-803	146	21	does	do	VERB
ijassa-803	146	22	the	the	DET
ijassa-803	146	23	data	data	NOUN
ijassa-803	146	24	compression	compression	NOUN
ijassa-803	146	25	effectively	effectively	ADV
ijassa-803	146	26	.	.	PUNCT
ijassa-803	147	1	3.1	3.1	NUM
ijassa-803	147	2	.	.	PUNCT
ijassa-803	147	3	lossy	lossy	ADJ
ijassa-803	147	4	compression	compression	NOUN
ijassa-803	147	5	for	for	ADP
ijassa-803	147	6	sensor	sensor	NOUN
ijassa-803	147	7	signal	signal	NOUN
ijassa-803	147	8	to	to	PART
ijassa-803	147	9	achieve	achieve	VERB
ijassa-803	147	10	the	the	DET
ijassa-803	147	11	requirement	requirement	NOUN
ijassa-803	147	12	of	of	ADP
ijassa-803	147	13	compressing	compress	VERB
ijassa-803	147	14	an	an	DET
ijassa-803	147	15	original	original	ADJ
ijassa-803	147	16	signal	signal	NOUN
ijassa-803	147	17	,	,	PUNCT
ijassa-803	147	18	it	it	PRON
ijassa-803	147	19	shall	shall	AUX
ijassa-803	147	20	be	be	AUX
ijassa-803	147	21	sparse	sparse	ADJ
ijassa-803	147	22	in	in	ADP
ijassa-803	147	23	some	some	DET
ijassa-803	147	24	possibly	possibly	ADV
ijassa-803	147	25	transformed	transform	VERB
ijassa-803	147	26	domain	domain	NOUN
ijassa-803	147	27	.	.	PUNCT
ijassa-803	148	1	compressive	compressive	ADJ
ijassa-803	148	2	sampling	sampling	NOUN
ijassa-803	148	3	theory	theory	NOUN
ijassa-803	148	4	or	or	CCONJ
ijassa-803	148	5	compressed	compressed	ADJ
ijassa-803	148	6	sensing	sensing	NOUN
ijassa-803	148	7	developed	develop	VERB
ijassa-803	148	8	for	for	ADP
ijassa-803	148	9	data	data	NOUN
ijassa-803	148	10	transmission	transmission	NOUN
ijassa-803	148	11	has	have	AUX
ijassa-803	148	12	become	become	VERB
ijassa-803	148	13	an	an	DET
ijassa-803	148	14	active	active	ADJ
ijassa-803	148	15	investigation	investigation	NOUN
ijassa-803	148	16	area	area	NOUN
ijassa-803	148	17	.	.	PUNCT
ijassa-803	149	1	the	the	DET
ijassa-803	149	2	basis	basis	NOUN
ijassa-803	149	3	of	of	ADP
ijassa-803	149	4	this	this	DET
ijassa-803	149	5	theory	theory	NOUN
ijassa-803	149	6	is	be	AUX
ijassa-803	149	7	that	that	SCONJ
ijassa-803	149	8	the	the	DET
ijassa-803	149	9	true	true	ADJ
ijassa-803	149	10	data	datum	NOUN
ijassa-803	149	11	can	can	AUX
ijassa-803	149	12	be	be	AUX
ijassa-803	149	13	represented	represent	VERB
ijassa-803	149	14	using	use	VERB
ijassa-803	149	15	reduced	reduce	VERB
ijassa-803	149	16	samples	sample	NOUN
ijassa-803	149	17	and	and	CCONJ
ijassa-803	149	18	the	the	DET
ijassa-803	149	19	same	same	ADJ
ijassa-803	149	20	shall	shall	AUX
ijassa-803	149	21	be	be	AUX
ijassa-803	149	22	recoverable	recoverable	ADJ
ijassa-803	149	23	from	from	ADP
ijassa-803	149	24	this	this	DET
ijassa-803	149	25	samples	sample	NOUN
ijassa-803	149	26	with	with	ADP
ijassa-803	149	27	an	an	DET
ijassa-803	149	28	allowed	allow	VERB
ijassa-803	149	29	error	error	NOUN
ijassa-803	149	30	bound	bind	VERB
ijassa-803	149	31	.	.	PUNCT
ijassa-803	150	1	on	on	ADP
ijassa-803	150	2	this	this	DET
ijassa-803	150	3	basis	basis	NOUN
ijassa-803	150	4	the	the	DET
ijassa-803	150	5	true	true	ADJ
ijassa-803	150	6	sensor	sensor	NOUN
ijassa-803	150	7	signal	signal	NOUN
ijassa-803	150	8	e	e	NOUN
ijassa-803	150	9	can	can	AUX
ijassa-803	150	10	be	be	AUX
ijassa-803	150	11	recuperated	recuperate	VERB
ijassa-803	150	12	from	from	ADP
ijassa-803	150	13	approximated	approximate	VERB
ijassa-803	150	14	fewer	few	ADJ
ijassa-803	150	15	samples	sample	NOUN
ijassa-803	150	16	of	of	ADP
ijassa-803	150	17	signal	signal	NOUN
ijassa-803	150	18	derived	derive	VERB
ijassa-803	150	19	by	by	ADP
ijassa-803	150	20	the	the	DET
ijassa-803	150	21	solution	solution	NOUN
ijassa-803	150	22	of	of	ADP
ijassa-803	150	23	the	the	DET
ijassa-803	150	24	problem	problem	NOUN
ijassa-803	150	25	:	:	PUNCT
ijassa-803	150	26	1	1	NUM
ijassa-803	150	27	min	min	NOUN
ijassa-803	150	28	w	w	PROPN
ijassa-803	150	29	e	e	PROPN
ijassa-803	150	30	e	e	X
ijassa-803	150	31	(	(	PUNCT
ijassa-803	150	32	1	1	NUM
ijassa-803	150	33	)	)	PUNCT
ijassa-803	150	34	subject	subject	NOUN
ijassa-803	150	35	to	to	ADP
ijassa-803	150	36	yie	yie	NOUN
ijassa-803	150	37	where	where	SCONJ
ijassa-803	150	38	the	the	DET
ijassa-803	150	39	original	original	ADJ
ijassa-803	150	40	signal	signal	NOUN
ijassa-803	150	41	e	e	NOUN
ijassa-803	150	42	is	be	AUX
ijassa-803	150	43	a	a	DET
ijassa-803	150	44	1pu	1pu	ADJ
ijassa-803	150	45	matrix	matrix	NOUN
ijassa-803	150	46	to	to	PART
ijassa-803	150	47	be	be	AUX
ijassa-803	150	48	compressed	compress	VERB
ijassa-803	150	49	and	and	CCONJ
ijassa-803	150	50	compression	compression	NOUN
ijassa-803	150	51	theorem	theorem	ADJ
ijassa-803	150	52	w	w	NOUN
ijassa-803	150	53	is	be	AUX
ijassa-803	150	54	a	a	DET
ijassa-803	150	55	p	p	X
ijassa-803	150	56	pu	pu	ADV
ijassa-803	150	57	known	know	VERB
ijassa-803	150	58	matrix	matrix	NOUN
ijassa-803	150	59	.	.	PUNCT
ijassa-803	151	1	the	the	DET
ijassa-803	151	2	n	n	PRON
ijassa-803	151	3	pu	pu	PROPN
ijassa-803	151	4	sensing	sense	VERB
ijassa-803	151	5	matrix	matrix	NOUN
ijassa-803	151	6	φ	φ	NOUN
ijassa-803	151	7	,	,	PUNCT
ijassa-803	151	8	contains	contain	VERB
ijassa-803	151	9	in	in	ADP
ijassa-803	151	10	rows	row	NOUN
ijassa-803	151	11	,	,	PUNCT
ijassa-803	151	12	n	n	DET
ijassa-803	151	13	bases	basis	NOUN
ijassa-803	151	14	for	for	ADP
ijassa-803	151	15	the	the	DET
ijassa-803	151	16	measurements	measurement	NOUN
ijassa-803	151	17	needed	need	VERB
ijassa-803	151	18	to	to	PART
ijassa-803	151	19	be	be	AUX
ijassa-803	151	20	sampled	sample	VERB
ijassa-803	151	21	from	from	ADP
ijassa-803	151	22	the	the	DET
ijassa-803	151	23	sensed	sensed	ADJ
ijassa-803	151	24	signal	signal	NOUN
ijassa-803	151	25	.	.	PUNCT
ijassa-803	152	1	the	the	DET
ijassa-803	152	2	general	general	ADJ
ijassa-803	152	3	choice	choice	NOUN
ijassa-803	152	4	to	to	PART
ijassa-803	152	5	initialize	initialize	VERB
ijassa-803	152	6	φ	φ	PROPN
ijassa-803	152	7	is	be	AUX
ijassa-803	152	8	n	n	PRON
ijassa-803	152	9	randomly	randomly	ADV
ijassa-803	152	10	generated	generate	VERB
ijassa-803	152	11	data	datum	NOUN
ijassa-803	152	12	points	point	NOUN
ijassa-803	152	13	.	.	PUNCT
ijassa-803	153	1	finally	finally	ADV
ijassa-803	153	2	1nu	1nu	ADJ
ijassa-803	153	3	vector	vector	NOUN
ijassa-803	153	4	y	y	PROPN
ijassa-803	153	5	will	will	AUX
ijassa-803	153	6	contain	contain	VERB
ijassa-803	153	7	the	the	DET
ijassa-803	153	8	sampled	sample	VERB
ijassa-803	153	9	data	data	NOUN
ijassa-803	153	10	points	point	NOUN
ijassa-803	153	11	from	from	ADP
ijassa-803	153	12	the	the	DET
ijassa-803	153	13	original	original	ADJ
ijassa-803	153	14	signal	signal	NOUN
ijassa-803	153	15	e	e	NOUN
ijassa-803	153	16	such	such	ADJ
ijassa-803	153	17	that	that	SCONJ
ijassa-803	153	18	n	n	PROPN
ijassa-803	153	19	p	p	X
ijassa-803	153	20	�	�	PROPN
ijassa-803	153	21	.	.	PUNCT
ijassa-803	154	1	the	the	DET
ijassa-803	154	2	data	datum	NOUN
ijassa-803	154	3	acquired	acquire	VERB
ijassa-803	154	4	by	by	ADP
ijassa-803	154	5	the	the	DET
ijassa-803	154	6	sensor	sensor	NOUN
ijassa-803	154	7	in	in	ADP
ijassa-803	154	8	the	the	DET
ijassa-803	154	9	field	field	NOUN
ijassa-803	154	10	may	may	AUX
ijassa-803	154	11	contain	contain	VERB
ijassa-803	154	12	noise	noise	NOUN
ijassa-803	154	13	.	.	PUNCT
ijassa-803	155	1	considering	consider	VERB
ijassa-803	155	2	the	the	DET
ijassa-803	155	3	measurements	measurement	NOUN
ijassa-803	155	4	in	in	ADP
ijassa-803	155	5	practical	practical	ADJ
ijassa-803	155	6	cases	case	NOUN
ijassa-803	155	7	the	the	DET
ijassa-803	155	8	problem	problem	NOUN
ijassa-803	155	9	given	give	VERB
ijassa-803	155	10	in	in	ADP
ijassa-803	155	11	(	(	PUNCT
ijassa-803	155	12	1	1	NUM
ijassa-803	155	13	)	)	PUNCT
ijassa-803	155	14	is	be	AUX
ijassa-803	155	15	generally	generally	ADV
ijassa-803	155	16	rewritten	rewrite	VERB
ijassa-803	155	17	as	as	ADP
ijassa-803	155	18	:	:	PUNCT
ijassa-803	155	19	1	1	NUM
ijassa-803	155	20	min	min	NOUN
ijassa-803	155	21	w	w	PROPN
ijassa-803	155	22	e	e	PROPN
ijassa-803	155	23	e	e	X
ijassa-803	155	24	(	(	PUNCT
ijassa-803	155	25	2	2	NUM
ijassa-803	155	26	)	)	SYM
ijassa-803	155	27	2	2	NUM
ijassa-803	155	28	2	2	NUM
ijassa-803	155	29	subject	subject	NOUN
ijassa-803	155	30	to	to	ADP
ijassa-803	155	31	y	y	PROPN
ijassa-803	155	32	ie	ie	PROPN
ijassa-803	155	33	h	h	PROPN
ijassa-803	155	34	�	�	PROPN
ijassa-803	155	35	d	d	PROPN
ijassa-803	155	36	where	where	SCONJ
ijassa-803	155	37	h	h	NOUN
ijassa-803	155	38	represents	represent	VERB
ijassa-803	155	39	the	the	DET
ijassa-803	155	40	noise	noise	NOUN
ijassa-803	155	41	in	in	ADP
ijassa-803	155	42	the	the	DET
ijassa-803	155	43	measured	measure	VERB
ijassa-803	155	44	signal	signal	NOUN
ijassa-803	155	45	.	.	PUNCT
ijassa-803	156	1	as	as	SCONJ
ijassa-803	156	2	mentioned	mention	VERB
ijassa-803	156	3	in	in	ADP
ijassa-803	156	4	(	(	PUNCT
ijassa-803	156	5	2	2	X
ijassa-803	156	6	)	)	PUNCT
ijassa-803	156	7	the	the	DET
ijassa-803	156	8	1l	1l	NUM
ijassa-803	156	9	norm	norm	NOUN
ijassa-803	156	10	of	of	ADP
ijassa-803	156	11	e	e	PROPN
ijassa-803	156	12	under	under	ADP
ijassa-803	156	13	the	the	DET
ijassa-803	156	14	compression	compression	NOUN
ijassa-803	156	15	transform	transform	NOUN
ijassa-803	156	16	w	w	NOUN
ijassa-803	156	17	is	be	AUX
ijassa-803	156	18	minimized	minimize	VERB
ijassa-803	156	19	,	,	PUNCT
ijassa-803	156	20	such	such	ADJ
ijassa-803	156	21	that	that	SCONJ
ijassa-803	156	22	reconstructed	reconstructed	ADJ
ijassa-803	156	23	signal	signal	NOUN
ijassa-803	156	24	*	*	PUNCT
ijassa-803	156	25	e	e	NOUN
ijassa-803	156	26	from	from	ADP
ijassa-803	156	27	n	n	PRON
ijassa-803	156	28	measurements	measurement	NOUN
ijassa-803	156	29	of	of	ADP
ijassa-803	156	30	y	y	PROPN
ijassa-803	156	31	(	(	PUNCT
ijassa-803	156	32	compressed	compress	VERB
ijassa-803	156	33	signal	signal	NOUN
ijassa-803	156	34	)	)	PUNCT
ijassa-803	156	35	of	of	ADP
ijassa-803	156	36	true	true	ADJ
ijassa-803	156	37	signal	signal	NOUN
ijassa-803	156	38	shall	shall	AUX
ijassa-803	156	39	be	be	AUX
ijassa-803	156	40	consistent	consistent	ADJ
ijassa-803	156	41	.	.	PUNCT
ijassa-803	157	1	the	the	DET
ijassa-803	157	2	optimization	optimization	NOUN
ijassa-803	157	3	problem	problem	NOUN
ijassa-803	157	4	in	in	ADP
ijassa-803	157	5	eq	eq	ADP
ijassa-803	157	6	.	.	PUNCT
ijassa-803	158	1	(	(	PUNCT
ijassa-803	158	2	2	2	NUM
ijassa-803	158	3	)	)	PUNCT
ijassa-803	158	4	with	with	ADP
ijassa-803	158	5	constraints	constraint	NOUN
ijassa-803	158	6	shall	shall	AUX
ijassa-803	158	7	be	be	AUX
ijassa-803	158	8	rewritten	rewrite	VERB
ijassa-803	158	9	in	in	ADP
ijassa-803	158	10	the	the	DET
ijassa-803	158	11	following	follow	VERB
ijassa-803	158	12	form	form	NOUN
ijassa-803	158	13	:	:	PUNCT
ijassa-803	158	14	2	2	NUM
ijassa-803	158	15	2	2	NUM
ijassa-803	158	16	1	1	NUM
ijassa-803	158	17	min	min	NOUN
ijassa-803	158	18	y	y	PROPN
ijassa-803	158	19	w	w	PROPN
ijassa-803	158	20	e	e	PROPN
ijassa-803	158	21	ie	ie	X
ijassa-803	158	22	o	o	PROPN
ijassa-803	158	23	e	e	PROPN
ijassa-803	158	24	�	�	PROPN
ijassa-803	158	25	�	�	PROPN
ijassa-803	158	26	(	(	PUNCT
ijassa-803	158	27	3	3	NUM
ijassa-803	158	28	)	)	PUNCT
ijassa-803	158	29	a	a	PRON
ijassa-803	158	30	novel	novel	ADJ
ijassa-803	158	31	enriched	enrich	VERB
ijassa-803	158	32	lasso	lasso	NOUN
ijassa-803	158	33	based	base	VERB
ijassa-803	158	34	compression	compression	NOUN
ijassa-803	158	35	technique	technique	NOUN
ijassa-803	158	36	for	for	SCONJ
ijassa-803	158	37	energy	energy	NOUN
ijassa-803	158	38	efficient	efficient	ADJ
ijassa-803	158	39	wireless	wireless	ADJ
ijassa-803	158	40	sensor	sensor	NOUN
ijassa-803	158	41	networks	network	VERB
ijassa-803	158	42	71	71	NUM
ijassa-803	158	43	copyright	copyright	NOUN
ijassa-803	158	44	©	©	PROPN
ijassa-803	158	45	2020	2020	NUM
ijassa-803	158	46	assa	assa	PROPN
ijassa-803	158	47	adv	adv	PROPN
ijassa-803	158	48	.	.	PUNCT
ijassa-803	159	1	in	in	ADP
ijassa-803	159	2	systems	system	NOUN
ijassa-803	159	3	science	science	NOUN
ijassa-803	159	4	and	and	CCONJ
ijassa-803	159	5	appl	appl	NOUN
ijassa-803	159	6	.	.	PUNCT
ijassa-803	160	1	(	(	PUNCT
ijassa-803	160	2	2020	2020	NUM
ijassa-803	160	3	)	)	PUNCT
ijassa-803	160	4	the	the	DET
ijassa-803	160	5	values	value	NOUN
ijassa-803	160	6	of	of	ADP
ijassa-803	160	7	h	h	NOUN
ijassa-803	160	8	in	in	ADP
ijassa-803	160	9	eq	eq	ADP
ijassa-803	160	10	.	.	PUNCT
ijassa-803	161	1	(	(	PUNCT
ijassa-803	161	2	2	2	NUM
ijassa-803	161	3	)	)	PUNCT
ijassa-803	161	4	and	and	CCONJ
ijassa-803	161	5	o	o	X
ijassa-803	161	6	in	in	ADP
ijassa-803	161	7	eq	eq	ADP
ijassa-803	161	8	.	.	PUNCT
ijassa-803	162	1	(	(	PUNCT
ijassa-803	162	2	3	3	X
ijassa-803	162	3	)	)	PUNCT
ijassa-803	162	4	can	can	AUX
ijassa-803	162	5	be	be	AUX
ijassa-803	162	6	determined	determine	VERB
ijassa-803	162	7	empirically	empirically	ADV
ijassa-803	162	8	.	.	PUNCT
ijassa-803	163	1	the	the	DET
ijassa-803	163	2	eq	eq	NOUN
ijassa-803	163	3	.	.	PUNCT
ijassa-803	164	1	(	(	PUNCT
ijassa-803	164	2	3	3	X
ijassa-803	164	3	)	)	PUNCT
ijassa-803	164	4	can	can	AUX
ijassa-803	164	5	be	be	AUX
ijassa-803	164	6	found	find	VERB
ijassa-803	164	7	that	that	SCONJ
ijassa-803	164	8	it	it	PRON
ijassa-803	164	9	is	be	AUX
ijassa-803	164	10	similar	similar	ADJ
ijassa-803	164	11	to	to	ADP
ijassa-803	164	12	the	the	DET
ijassa-803	164	13	lasso	lasso	NOUN
ijassa-803	164	14	eq	eq	NOUN
ijassa-803	164	15	.	.	PUNCT
ijassa-803	165	1	(	(	PUNCT
ijassa-803	165	2	4	4	NUM
ijassa-803	165	3	)	)	SYM
ijassa-803	165	4	2	2	NUM
ijassa-803	165	5	2	2	NUM
ijassa-803	165	6	1	1	NUM
ijassa-803	165	7	,	,	PUNCT
ijassa-803	165	8	min	min	PROPN
ijassa-803	165	9	1y	1y	PROPN
ijassa-803	165	10	x	x	SYM
ijassa-803	165	11	d	d	X
ijassa-803	165	12	e	e	X
ijassa-803	165	13	d	d	X
ijassa-803	165	14	e	e	X
ijassa-803	165	15	o	o	X
ijassa-803	165	16	e	e	X
ijassa-803	165	17	�	�	PROPN
ijassa-803	165	18	�	�	PROPN
ijassa-803	165	19	�	�	PROPN
ijassa-803	165	20	(	(	PUNCT
ijassa-803	165	21	4	4	NUM
ijassa-803	165	22	)	)	PUNCT
ijassa-803	165	23	a	a	DET
ijassa-803	165	24	main	main	ADJ
ijassa-803	165	25	difference	difference	NOUN
ijassa-803	165	26	between	between	ADP
ijassa-803	165	27	eq	eq	NOUN
ijassa-803	165	28	.	.	PUNCT
ijassa-803	165	29	(	(	PUNCT
ijassa-803	165	30	3	3	NUM
ijassa-803	165	31	)	)	PUNCT
ijassa-803	165	32	and	and	CCONJ
ijassa-803	165	33	eq	eq	NOUN
ijassa-803	165	34	.	.	PUNCT
ijassa-803	166	1	(	(	PUNCT
ijassa-803	166	2	4	4	X
ijassa-803	166	3	)	)	PUNCT
ijassa-803	166	4	is	be	AUX
ijassa-803	166	5	the	the	DET
ijassa-803	166	6	compression	compression	NOUN
ijassa-803	166	7	transform	transform	NOUN
ijassa-803	166	8	w	w	NOUN
ijassa-803	166	9	available	available	ADJ
ijassa-803	166	10	in	in	ADP
ijassa-803	166	11	the	the	DET
ijassa-803	166	12	second	second	ADJ
ijassa-803	166	13	term	term	NOUN
ijassa-803	166	14	of	of	ADP
ijassa-803	166	15	eq	eq	PROPN
ijassa-803	166	16	.	.	PUNCT
ijassa-803	167	1	(	(	PUNCT
ijassa-803	167	2	4	4	X
ijassa-803	167	3	)	)	PUNCT
ijassa-803	167	4	called	call	VERB
ijassa-803	167	5	penalty	penalty	NOUN
ijassa-803	167	6	term	term	NOUN
ijassa-803	167	7	.	.	PUNCT
ijassa-803	168	1	3.2	3.2	NUM
ijassa-803	168	2	.	.	PUNCT
ijassa-803	168	3	enriched	enrich	VERB
ijassa-803	168	4	lasso	lasso	NOUN
ijassa-803	168	5	for	for	ADP
ijassa-803	168	6	data	datum	NOUN
ijassa-803	168	7	compression	compression	NOUN
ijassa-803	168	8	since	since	SCONJ
ijassa-803	168	9	the	the	DET
ijassa-803	168	10	introduction	introduction	NOUN
ijassa-803	168	11	of	of	ADP
ijassa-803	168	12	lasso	lasso	NOUN
ijassa-803	168	13	1l	1l	NUM
ijassa-803	168	14	regularization	regularization	NOUN
ijassa-803	168	15	has	have	AUX
ijassa-803	168	16	been	be	AUX
ijassa-803	168	17	adopted	adopt	VERB
ijassa-803	168	18	for	for	ADP
ijassa-803	168	19	learning	learn	VERB
ijassa-803	168	20	in	in	ADP
ijassa-803	168	21	highdimensional	highdimensional	ADJ
ijassa-803	168	22	databases	database	NOUN
ijassa-803	168	23	.	.	PUNCT
ijassa-803	169	1	extending	extend	VERB
ijassa-803	169	2	lasso	lasso	NOUN
ijassa-803	169	3	eq	eq	NOUN
ijassa-803	169	4	.	.	PUNCT
ijassa-803	170	1	(	(	PUNCT
ijassa-803	170	2	4	4	NUM
ijassa-803	170	3	)	)	PUNCT
ijassa-803	170	4	,	,	PUNCT
ijassa-803	170	5	the	the	DET
ijassa-803	170	6	learning	learn	VERB
ijassa-803	170	7	compressible	compressible	ADJ
ijassa-803	170	8	models	model	NOUN
ijassa-803	170	9	can	can	AUX
ijassa-803	170	10	be	be	AUX
ijassa-803	170	11	formulated	formulate	VERB
ijassa-803	170	12	as	as	SCONJ
ijassa-803	170	13	follows	follow	VERB
ijassa-803	170	14	:	:	PUNCT
ijassa-803	170	15	1	1	NUM
ijassa-803	170	16	,	,	PUNCT
ijassa-803	171	1	min	min	NOUN
ijassa-803	171	2	(	(	PUNCT
ijassa-803	171	3	,	,	PUNCT
ijassa-803	171	4	1	1	X
ijassa-803	171	5	)	)	PUNCT
ijassa-803	172	1	l	l	NOUN
ijassa-803	172	2	y	y	NOUN
ijassa-803	172	3	x	x	PUNCT
ijassa-803	172	4	w	w	PROPN
ijassa-803	172	5	d	d	X
ijassa-803	172	6	e	e	X
ijassa-803	172	7	d	d	X
ijassa-803	172	8	e	e	X
ijassa-803	172	9	o	o	X
ijassa-803	172	10	e	e	X
ijassa-803	172	11	�	�	PROPN
ijassa-803	172	12	�	�	PROPN
ijassa-803	172	13	(	(	PUNCT
ijassa-803	172	14	5	5	NUM
ijassa-803	172	15	)	)	PUNCT
ijassa-803	172	16	the	the	DET
ijassa-803	172	17	proposed	propose	VERB
ijassa-803	172	18	data	data	NOUN
ijassa-803	172	19	compression	compression	NOUN
ijassa-803	172	20	method	method	NOUN
ijassa-803	172	21	is	be	AUX
ijassa-803	172	22	motivated	motivate	VERB
ijassa-803	172	23	by	by	ADP
ijassa-803	172	24	the	the	DET
ijassa-803	172	25	objective	objective	NOUN
ijassa-803	172	26	to	to	PART
ijassa-803	172	27	support	support	VERB
ijassa-803	172	28	the	the	DET
ijassa-803	172	29	selected	select	VERB
ijassa-803	172	30	samples	sample	NOUN
ijassa-803	172	31	to	to	PART
ijassa-803	172	32	correlate	correlate	VERB
ijassa-803	172	33	more	more	ADV
ijassa-803	172	34	with	with	ADP
ijassa-803	172	35	the	the	DET
ijassa-803	172	36	reconstructed	reconstruct	VERB
ijassa-803	172	37	signal	signal	NOUN
ijassa-803	172	38	due	due	ADP
ijassa-803	172	39	to	to	ADP
ijassa-803	172	40	low	low	ADJ
ijassa-803	172	41	redundancy	redundancy	NOUN
ijassa-803	172	42	between	between	ADP
ijassa-803	172	43	them	they	PRON
ijassa-803	172	44	.	.	PUNCT
ijassa-803	173	1	therefore	therefore	ADV
ijassa-803	173	2	,	,	PUNCT
ijassa-803	173	3	equations	equation	NOUN
ijassa-803	173	4	eq.4	eq.4	PROPN
ijassa-803	173	5	and	and	CCONJ
ijassa-803	173	6	eq.6	eq.6	PROPN
ijassa-803	173	7	,	,	PUNCT
ijassa-803	173	8	are	be	AUX
ijassa-803	173	9	combined	combine	VERB
ijassa-803	173	10	and	and	CCONJ
ijassa-803	173	11	propose	propose	VERB
ijassa-803	173	12	the	the	DET
ijassa-803	173	13	mlasso	mlasso	ADJ
ijassa-803	173	14	method	method	NOUN
ijassa-803	173	15	for	for	ADP
ijassa-803	173	16	data	data	NOUN
ijassa-803	173	17	compression	compression	NOUN
ijassa-803	173	18	and	and	CCONJ
ijassa-803	173	19	formulated	formulate	VERB
ijassa-803	173	20	as	as	ADP
ijassa-803	173	21	:	:	SYM
ijassa-803	173	22	2	2	NUM
ijassa-803	173	23	1	1	NUM
ijassa-803	173	24	22	22	NUM
ijassa-803	173	25	1	1	NUM
ijassa-803	173	26	min	min	NOUN
ijassa-803	174	1	ty	ty	INTJ
ijassa-803	174	2	s	s	PROPN
ijassa-803	174	3	e	e	X
ijassa-803	174	4	ie	ie	X
ijassa-803	174	5	o	o	X
ijassa-803	174	6	e	e	X
ijassa-803	174	7	o	o	X
ijassa-803	174	8	e	e	X
ijassa-803	174	9	e	e	PROPN
ijassa-803	174	10	�	�	PROPN
ijassa-803	174	11	�	�	PROPN
ijassa-803	174	12	�	�	PROPN
ijassa-803	174	13	(	(	PUNCT
ijassa-803	174	14	6	6	NUM
ijassa-803	174	15	)	)	PUNCT
ijassa-803	174	16	where	where	SCONJ
ijassa-803	174	17	1o	1o	NUM
ijassa-803	174	18	,	,	PUNCT
ijassa-803	174	19	2o	2o	NUM
ijassa-803	174	20	≥	≥	NOUN
ijassa-803	174	21	0	0	NUM
ijassa-803	174	22	are	be	AUX
ijassa-803	174	23	tuning	tune	VERB
ijassa-803	174	24	parameters	parameter	NOUN
ijassa-803	174	25	.	.	PUNCT
ijassa-803	175	1	note	note	VERB
ijassa-803	175	2	that	that	SCONJ
ijassa-803	175	3	t	t	PROPN
ijassa-803	175	4	se	se	PROPN
ijassa-803	175	5	e	e	PROPN
ijassa-803	175	6	is	be	AUX
ijassa-803	175	7	a	a	DET
ijassa-803	175	8	non	non	ADJ
ijassa-803	175	9	-	-	ADJ
ijassa-803	175	10	convex	convex	ADJ
ijassa-803	175	11	constrain	constrain	NOUN
ijassa-803	175	12	.	.	PUNCT
ijassa-803	176	1	our	our	PRON
ijassa-803	176	2	mlasso	mlasso	NOUN
ijassa-803	176	3	disparities	disparity	NOUN
ijassa-803	176	4	with	with	ADP
ijassa-803	176	5	previous	previous	ADJ
ijassa-803	176	6	lasso	lasso	NOUN
ijassa-803	176	7	-	-	PUNCT
ijassa-803	176	8	type	type	NOUN
ijassa-803	176	9	data	datum	NOUN
ijassa-803	176	10	compression	compression	NOUN
ijassa-803	176	11	methods	method	NOUN
ijassa-803	176	12	,	,	PUNCT
ijassa-803	176	13	which	which	PRON
ijassa-803	176	14	use	use	VERB
ijassa-803	176	15	convex	convex	NOUN
ijassa-803	176	16	methods	method	NOUN
ijassa-803	176	17	and	and	CCONJ
ijassa-803	176	18	which	which	PRON
ijassa-803	176	19	may	may	AUX
ijassa-803	176	20	be	be	AUX
ijassa-803	176	21	suboptimal	suboptimal	ADJ
ijassa-803	176	22	in	in	ADP
ijassa-803	176	23	terms	term	NOUN
ijassa-803	176	24	of	of	ADP
ijassa-803	176	25	the	the	DET
ijassa-803	176	26	accuracy	accuracy	NOUN
ijassa-803	176	27	.	.	PUNCT
ijassa-803	177	1	here	here	ADV
ijassa-803	177	2	,	,	PUNCT
ijassa-803	177	3	the	the	DET
ijassa-803	177	4	proposed	propose	VERB
ijassa-803	177	5	mlasso	mlasso	NOUN
ijassa-803	177	6	method	method	PROPN
ijassa-803	177	7	enforces	enforce	VERB
ijassa-803	177	8	stricter	strict	ADJ
ijassa-803	177	9	non	non	ADJ
ijassa-803	177	10	-	-	ADJ
ijassa-803	177	11	convex	convex	ADJ
ijassa-803	177	12	constrictions	constriction	NOUN
ijassa-803	177	13	,	,	PUNCT
ijassa-803	177	14	i.e.	i.e.	X
ijassa-803	177	15	,	,	PUNCT
ijassa-803	177	16	‘	'	PUNCT
ijassa-803	177	17	data	data	NOUN
ijassa-803	177	18	point	point	NOUN
ijassa-803	177	19	-	-	PUNCT
ijassa-803	177	20	response	response	NOUN
ijassa-803	177	21	correlations	correlation	NOUN
ijassa-803	177	22	’	'	PUNCT
ijassa-803	177	23	and	and	CCONJ
ijassa-803	177	24	‘	'	PUNCT
ijassa-803	177	25	data	datum	NOUN
ijassa-803	177	26	point	point	NOUN
ijassa-803	177	27	-	-	PUNCT
ijassa-803	177	28	data	data	NOUN
ijassa-803	177	29	point	point	NOUN
ijassa-803	177	30	correlations	correlation	NOUN
ijassa-803	177	31	’	'	PUNCT
ijassa-803	177	32	,	,	PUNCT
ijassa-803	177	33	in	in	ADP
ijassa-803	177	34	locating	locate	VERB
ijassa-803	177	35	the	the	DET
ijassa-803	177	36	optimal	optimal	ADJ
ijassa-803	177	37	regression	regression	NOUN
ijassa-803	177	38	e	e	NOUN
ijassa-803	177	39	.	.	PUNCT
ijassa-803	178	1	once	once	ADV
ijassa-803	178	2	the	the	DET
ijassa-803	178	3	solution	solution	NOUN
ijassa-803	178	4	e	e	NOUN
ijassa-803	178	5	of	of	ADP
ijassa-803	178	6	eq.7	eq.7	PROPN
ijassa-803	178	7	is	be	AUX
ijassa-803	178	8	obtained	obtain	VERB
ijassa-803	178	9	,	,	PUNCT
ijassa-803	178	10	the	the	DET
ijassa-803	178	11	selected	select	VERB
ijassa-803	178	12	samples	sample	NOUN
ijassa-803	178	13	can	can	AUX
ijassa-803	178	14	be	be	AUX
ijassa-803	178	15	easily	easily	ADV
ijassa-803	178	16	recuperated	recuperate	VERB
ijassa-803	178	17	.	.	PUNCT
ijassa-803	179	1	3.2.1	3.2.1	NUM
ijassa-803	179	2	learning	learn	VERB
ijassa-803	179	3	compressible	compressible	ADJ
ijassa-803	179	4	models	model	NOUN
ijassa-803	179	5	let	let	VERB
ijassa-803	179	6	x	x	PRON
ijassa-803	179	7	is	be	AUX
ijassa-803	179	8	a	a	DET
ijassa-803	179	9	n	n	PRON
ijassa-803	179	10	pu	pu	PROPN
ijassa-803	179	11	matrix	matrix	NOUN
ijassa-803	179	12	with	with	ADP
ijassa-803	179	13	constant	constant	ADJ
ijassa-803	179	14	p	p	NOUN
ijassa-803	179	15	,	,	PUNCT
ijassa-803	179	16	y	y	PROPN
ijassa-803	179	17	x	x	PUNCT
ijassa-803	179	18	e	e	PROPN
ijassa-803	179	19	h	h	PROPN
ijassa-803	179	20	�	�	PROPN
ijassa-803	179	21	is	be	AUX
ijassa-803	179	22	the	the	DET
ijassa-803	179	23	sensed	sense	VERB
ijassa-803	179	24	data	datum	NOUN
ijassa-803	179	25	with	with	ADP
ijassa-803	179	26	noise	noise	NOUN
ijassa-803	179	27	.	.	PUNCT
ijassa-803	180	1	the	the	DET
ijassa-803	180	2	lasso	lasso	NOUN
ijassa-803	180	3	refers	refer	VERB
ijassa-803	180	4	to	to	ADP
ijassa-803	180	5	:	:	PUNCT
ijassa-803	180	6	2	2	NUM
ijassa-803	180	7	2	2	NUM
ijassa-803	180	8	min	min	NOUN
ijassa-803	180	9	y	y	PROPN
ijassa-803	180	10	xe	xe	PROPN
ijassa-803	180	11	�	�	PROPN
ijassa-803	180	12	such	such	ADJ
ijassa-803	180	13	that	that	SCONJ
ijassa-803	180	14	1	1	NUM
ijassa-803	180	15	le	le	X
ijassa-803	180	16	d	d	X
ijassa-803	180	17	(	(	PUNCT
ijassa-803	180	18	7	7	NUM
ijassa-803	180	19	)	)	PUNCT
ijassa-803	180	20	and	and	CCONJ
ijassa-803	180	21	in	in	ADP
ijassa-803	180	22	lagrangian	lagrangian	ADJ
ijassa-803	180	23	it	it	PRON
ijassa-803	180	24	becomes	become	VERB
ijassa-803	180	25	2	2	NUM
ijassa-803	180	26	2	2	NUM
ijassa-803	180	27	1min	1min	NUM
ijassa-803	180	28	2	2	NUM
ijassa-803	180	29	n	n	CCONJ
ijassa-803	180	30	n	n	NOUN
ijassa-803	180	31	y	y	NOUN
ijassa-803	180	32	x	x	PUNCT
ijassa-803	180	33	n	n	PROPN
ijassa-803	180	34	e	e	X
ijassa-803	180	35	o	o	X
ijassa-803	180	36	e	e	X
ijassa-803	180	37	�	�	PROPN
ijassa-803	180	38	�	�	PROPN
ijassa-803	180	39	(	(	PUNCT
ijassa-803	180	40	8)	8)	NUM
ijassa-803	180	41	the	the	DET
ijassa-803	180	42	proposed	propose	VERB
ijassa-803	180	43	mlasso	mlasso	PROPN
ijassa-803	180	44	algorithm	algorithm	PROPN
ijassa-803	180	45	solve	solve	VERB
ijassa-803	180	46	the	the	DET
ijassa-803	180	47	non	non	ADJ
ijassa-803	180	48	-	-	ADJ
ijassa-803	180	49	convex	convex	ADJ
ijassa-803	180	50	problem	problem	NOUN
ijassa-803	180	51	in	in	ADP
ijassa-803	180	52	eq	eq	ADP
ijassa-803	180	53	.	.	PUNCT
ijassa-803	181	1	(	(	PUNCT
ijassa-803	181	2	7	7	NUM
ijassa-803	181	3	)	)	PUNCT
ijassa-803	181	4	by	by	ADP
ijassa-803	181	5	using	use	VERB
ijassa-803	181	6	alternating	alternate	VERB
ijassa-803	181	7	direction	direction	NOUN
ijassa-803	181	8	method	method	NOUN
ijassa-803	181	9	of	of	ADP
ijassa-803	181	10	multipliers	multiplier	NOUN
ijassa-803	181	11	(	(	PUNCT
ijassa-803	181	12	admm	admm	NOUN
ijassa-803	181	13	)	)	PUNCT
ijassa-803	181	14	.	.	PUNCT
ijassa-803	182	1	the	the	DET
ijassa-803	182	2	concept	concept	NOUN
ijassa-803	182	3	of	of	ADP
ijassa-803	182	4	admm	admm	NOUN
ijassa-803	182	5	approach	approach	NOUN
ijassa-803	182	6	is	be	AUX
ijassa-803	182	7	to	to	PART
ijassa-803	182	8	bifurcate	bifurcate	VERB
ijassa-803	182	9	a	a	DET
ijassa-803	182	10	very	very	ADV
ijassa-803	182	11	complicated	complicated	ADJ
ijassa-803	182	12	problem	problem	NOUN
ijassa-803	182	13	into	into	ADP
ijassa-803	182	14	a	a	DET
ijassa-803	182	15	set	set	NOUN
ijassa-803	182	16	of	of	ADP
ijassa-803	182	17	simpler	simple	ADJ
ijassa-803	182	18	and	and	CCONJ
ijassa-803	182	19	solvable	solvable	ADJ
ijassa-803	182	20	problems	problem	NOUN
ijassa-803	182	21	.	.	PUNCT
ijassa-803	183	1	the	the	DET
ijassa-803	183	2	best	good	ADJ
ijassa-803	183	3	features	feature	NOUN
ijassa-803	183	4	of	of	ADP
ijassa-803	183	5	augmented	augment	VERB
ijassa-803	183	6	lagrangian	lagrangian	ADJ
ijassa-803	183	7	methods	method	NOUN
ijassa-803	183	8	and	and	CCONJ
ijassa-803	183	9	dual	dual	ADJ
ijassa-803	183	10	decomposition	decomposition	NOUN
ijassa-803	183	11	are	be	AUX
ijassa-803	183	12	combined	combine	VERB
ijassa-803	183	13	to	to	PART
ijassa-803	183	14	solve	solve	VERB
ijassa-803	183	15	the	the	DET
ijassa-803	183	16	constrained	constrain	VERB
ijassa-803	183	17	optimization	optimization	NOUN
ijassa-803	183	18	problem	problem	NOUN
ijassa-803	183	19	[	[	X
ijassa-803	183	20	42	42	NUM
ijassa-803	183	21	]	]	PUNCT
ijassa-803	183	22	.	.	PUNCT
ijassa-803	184	1	by	by	ADP
ijassa-803	184	2	introducing	introduce	VERB
ijassa-803	184	3	an	an	DET
ijassa-803	184	4	auxiliary	auxiliary	ADJ
ijassa-803	184	5	variable	variable	ADJ
ijassa-803	184	6	j	j	PROPN
ijassa-803	184	7	into	into	ADP
ijassa-803	184	8	the	the	DET
ijassa-803	184	9	objective	objective	ADJ
ijassa-803	184	10	function	function	NOUN
ijassa-803	184	11	eq.7	eq.7	PROPN
ijassa-803	184	12	,	,	PUNCT
ijassa-803	184	13	the	the	DET
ijassa-803	184	14	problem	problem	NOUN
ijassa-803	184	15	solved	solve	VERB
ijassa-803	184	16	by	by	ADP
ijassa-803	184	17	admm	admm	NOUN
ijassa-803	184	18	takes	take	VERB
ijassa-803	184	19	the	the	DET
ijassa-803	184	20	following	follow	VERB
ijassa-803	184	21	form	form	NOUN
ijassa-803	184	22	:	:	PUNCT
ijassa-803	184	23	2	2	NUM
ijassa-803	184	24	1	1	NUM
ijassa-803	184	25	212	212	NUM
ijassa-803	184	26	1min	1min	NUM
ijassa-803	184	27	(	(	PUNCT
ijassa-803	184	28	)	)	PUNCT
ijassa-803	185	1	(	(	PUNCT
ijassa-803	185	2	)	)	PUNCT
ijassa-803	185	3	2	2	NUM
ijassa-803	185	4	t	t	NOUN
ijassa-803	185	5	t	t	NOUN
ijassa-803	185	6	tf	tf	INTJ
ijassa-803	185	7	g	g	PROPN
ijassa-803	185	8	y	y	PROPN
ijassa-803	185	9	x	x	SYM
ijassa-803	185	10	s	s	PROPN
ijassa-803	186	1	e	e	X
ijassa-803	186	2	e	e	X
ijassa-803	186	3	j	j	PROPN
ijassa-803	186	4	e	e	NOUN
ijassa-803	186	5	o	o	NOUN
ijassa-803	186	6	j	j	X
ijassa-803	186	7	o	o	X
ijassa-803	186	8	e	e	X
ijassa-803	186	9	e	e	PROPN
ijassa-803	186	10	�	�	PROPN
ijassa-803	186	11	�	�	PROPN
ijassa-803	186	12	�	�	PROPN
ijassa-803	186	13	�	�	PROPN
ijassa-803	186	14	(	(	PUNCT
ijassa-803	186	15	9	9	NUM
ijassa-803	186	16	)	)	PUNCT
ijassa-803	186	17	72	72	NUM
ijassa-803	186	18	anitha	anitha	NOUN
ijassa-803	186	19	k.	k.	PROPN
ijassa-803	186	20	,	,	PUNCT
ijassa-803	186	21	jaison	jaison	PROPN
ijassa-803	186	22	b.	b.	PROPN
ijassa-803	186	23	,	,	PUNCT
ijassa-803	186	24	nalini	nalini	PROPN
ijassa-803	186	25	m.	m.	PROPN
ijassa-803	186	26	,	,	PUNCT
ijassa-803	186	27	shiny	shiny	PROPN
ijassa-803	186	28	irene	irene	PROPN
ijassa-803	186	29	d.	d.	PROPN
ijassa-803	186	30	copyright	copyright	PROPN
ijassa-803	187	1	©	©	PROPN
ijassa-803	187	2	2020	2020	NUM
ijassa-803	187	3	assa	assa	PROPN
ijassa-803	187	4	adv	adv	PROPN
ijassa-803	187	5	.	.	PUNCT
ijassa-803	188	1	in	in	ADP
ijassa-803	188	2	systems	system	NOUN
ijassa-803	188	3	science	science	NOUN
ijassa-803	188	4	and	and	CCONJ
ijassa-803	188	5	appl	appl	NOUN
ijassa-803	188	6	.	.	PUNCT
ijassa-803	189	1	(	(	PUNCT
ijassa-803	189	2	2020	2020	NUM
ijassa-803	189	3	)	)	PUNCT
ijassa-803	190	1	0subject	0subject	PUNCT
ijassa-803	190	2	to	to	ADP
ijassa-803	190	3	e	e	PROPN
ijassa-803	190	4	j	j	PROPN
ijassa-803	190	5	�	�	PROPN
ijassa-803	190	6	which	which	PRON
ijassa-803	190	7	is	be	AUX
ijassa-803	190	8	found	find	VERB
ijassa-803	190	9	as	as	ADV
ijassa-803	190	10	same	same	ADJ
ijassa-803	190	11	as	as	ADP
ijassa-803	190	12	the	the	DET
ijassa-803	190	13	problem	problem	NOUN
ijassa-803	190	14	in	in	ADP
ijassa-803	190	15	eq.(7	eq.(7	NOUN
ijassa-803	190	16	)	)	PUNCT
ijassa-803	190	17	and	and	CCONJ
ijassa-803	190	18	j	j	PROPN
ijassa-803	190	19	in	in	ADP
ijassa-803	190	20	the	the	DET
ijassa-803	190	21	eq	eq	NOUN
ijassa-803	190	22	.	.	PUNCT
ijassa-803	191	1	(	(	PUNCT
ijassa-803	191	2	8)	8)	NUM
ijassa-803	191	3	shall	shall	AUX
ijassa-803	191	4	be	be	AUX
ijassa-803	191	5	considered	consider	VERB
ijassa-803	191	6	as	as	ADP
ijassa-803	191	7	a	a	DET
ijassa-803	191	8	proxy	proxy	NOUN
ijassa-803	191	9	for	for	ADP
ijassa-803	191	10	e	e	NOUN
ijassa-803	191	11	.	.	PUNCT
ijassa-803	192	1	the	the	DET
ijassa-803	192	2	augmented	augment	VERB
ijassa-803	192	3	lagrangian	lagrangian	NOUN
ijassa-803	192	4	associated	associate	VERB
ijassa-803	192	5	with	with	ADP
ijassa-803	192	6	the	the	DET
ijassa-803	192	7	constrained	constrain	VERB
ijassa-803	192	8	problem	problem	NOUN
ijassa-803	192	9	in	in	ADP
ijassa-803	192	10	eq	eq	ADP
ijassa-803	192	11	.	.	PUNCT
ijassa-803	193	1	(	(	PUNCT
ijassa-803	193	2	8)	8)	NUM
ijassa-803	193	3	is	be	AUX
ijassa-803	193	4	given	give	VERB
ijassa-803	193	5	by	by	ADP
ijassa-803	193	6	22	22	NUM
ijassa-803	193	7	2	2	NUM
ijassa-803	193	8	2	2	NUM
ijassa-803	193	9	1	1	NUM
ijassa-803	193	10	1	1	NUM
ijassa-803	193	11	2	2	NUM
ijassa-803	193	12	1	1	NUM
ijassa-803	193	13	(	(	PUNCT
ijassa-803	193	14	,	,	PUNCT
ijassa-803	193	15	,	,	PUNCT
ijassa-803	193	16	)	)	PUNCT
ijassa-803	193	17	(	(	PUNCT
ijassa-803	193	18	)	)	PUNCT
ijassa-803	193	19	(	(	PUNCT
ijassa-803	193	20	,	,	PUNCT
ijassa-803	193	21	)	)	PUNCT
ijassa-803	193	22	2	2	NUM
ijassa-803	193	23	2	2	NUM
ijassa-803	193	24	t	t	NOUN
ijassa-803	193	25	t	t	X
ijassa-803	194	1	tl	tl	PROPN
ijassa-803	194	2	z	z	PROPN
ijassa-803	194	3	y	y	PROPN
ijassa-803	194	4	x	x	SYM
ijassa-803	194	5	s	s	PROPN
ijassa-803	194	6	z	z	PROPN
ijassa-803	194	7	ue	ue	PROPN
ijassa-803	194	8	j	j	PROPN
ijassa-803	194	9	e	e	X
ijassa-803	194	10	o	o	X
ijassa-803	194	11	e	e	X
ijassa-803	194	12	e	e	X
ijassa-803	194	13	o	o	X
ijassa-803	194	14	j	j	PROPN
ijassa-803	194	15	e	e	PROPN
ijassa-803	194	16	j	j	PROPN
ijassa-803	194	17	e	e	PROPN
ijassa-803	194	18	j	j	PROPN
ijassa-803	194	19	�	�	PROPN
ijassa-803	194	20	�	�	PROPN
ijassa-803	194	21	�	�	PROPN
ijassa-803	194	22	�	�	PROPN
ijassa-803	194	23	�	�	PROPN
ijassa-803	194	24	�	�	PROPN
ijassa-803	194	25	�	�	PROPN
ijassa-803	194	26	(	(	PUNCT
ijassa-803	194	27	10	10	NUM
ijassa-803	194	28	)	)	PUNCT
ijassa-803	194	29	here	here	ADV
ijassa-803	194	30	u	u	NOUN
ijassa-803	194	31	is	be	AUX
ijassa-803	194	32	a	a	DET
ijassa-803	194	33	positive	positive	ADJ
ijassa-803	194	34	penalty	penalty	NOUN
ijassa-803	194	35	factor	factor	NOUN
ijassa-803	194	36	and	and	CCONJ
ijassa-803	194	37	z	z	NOUN
ijassa-803	194	38	is	be	AUX
ijassa-803	194	39	a	a	DET
ijassa-803	194	40	lagrange	lagrange	NOUN
ijassa-803	194	41	multiplier	multiplier	ADV
ijassa-803	194	42	corresponding	correspond	VERB
ijassa-803	194	43	to	to	ADP
ijassa-803	194	44	the	the	DET
ijassa-803	194	45	equality	equality	NOUN
ijassa-803	194	46	constraint	constraint	NOUN
ijassa-803	194	47	e	e	PROPN
ijassa-803	194	48	j	j	PROPN
ijassa-803	194	49	.	.	PUNCT
ijassa-803	195	1	the	the	DET
ijassa-803	195	2	objective	objective	ADJ
ijassa-803	195	3	function	function	NOUN
ijassa-803	195	4	in	in	ADP
ijassa-803	195	5	eq	eq	ADP
ijassa-803	195	6	.	.	PUNCT
ijassa-803	196	1	(	(	PUNCT
ijassa-803	196	2	7	7	X
ijassa-803	196	3	)	)	PUNCT
ijassa-803	196	4	is	be	AUX
ijassa-803	196	5	simplified	simplify	VERB
ijassa-803	196	6	by	by	ADP
ijassa-803	196	7	decoupling	decouple	VERB
ijassa-803	196	8	the	the	DET
ijassa-803	196	9	function	function	NOUN
ijassa-803	196	10	by	by	ADP
ijassa-803	196	11	introducing	introduce	VERB
ijassa-803	196	12	an	an	DET
ijassa-803	196	13	additional	additional	ADJ
ijassa-803	196	14	variable	variable	ADJ
ijassa-803	196	15	j	j	NOUN
ijassa-803	196	16	and	and	CCONJ
ijassa-803	196	17	a	a	DET
ijassa-803	196	18	constraint	constraint	NOUN
ijassa-803	196	19	0e	0e	X
ijassa-803	196	20	j	j	PROPN
ijassa-803	196	21	�	�	PROPN
ijassa-803	196	22	.	.	PUNCT
ijassa-803	197	1	the	the	DET
ijassa-803	197	2	original	original	ADJ
ijassa-803	197	3	eq	eq	X
ijassa-803	197	4	.	.	PUNCT
ijassa-803	198	1	(	(	PUNCT
ijassa-803	198	2	6	6	NUM
ijassa-803	198	3	)	)	PUNCT
ijassa-803	198	4	is	be	AUX
ijassa-803	198	5	solved	solve	VERB
ijassa-803	198	6	by	by	ADP
ijassa-803	198	7	iteratively	iteratively	ADV
ijassa-803	198	8	minimizing	minimize	VERB
ijassa-803	198	9	(	(	PUNCT
ijassa-803	198	10	,	,	PUNCT
ijassa-803	198	11	,	,	PUNCT
ijassa-803	198	12	)	)	PUNCT
ijassa-803	199	1	l	l	NOUN
ijassa-803	199	2	ze	ze	PROPN
ijassa-803	199	3	j	j	PROPN
ijassa-803	199	4	overe	overe	PROPN
ijassa-803	199	5	andj	andj	VERB
ijassa-803	199	6	,	,	PUNCT
ijassa-803	199	7	and	and	CCONJ
ijassa-803	199	8	then	then	ADV
ijassa-803	199	9	z	z	PROPN
ijassa-803	199	10	is	be	AUX
ijassa-803	199	11	updated	update	VERB
ijassa-803	199	12	.	.	PUNCT
ijassa-803	200	1	the	the	DET
ijassa-803	200	2	learning	learning	NOUN
ijassa-803	200	3	rule	rule	NOUN
ijassa-803	200	4	adopted	adopt	VERB
ijassa-803	200	5	is	be	AUX
ijassa-803	200	6	as	as	SCONJ
ijassa-803	200	7	given	give	VERB
ijassa-803	200	8	below	below	ADP
ijassa-803	200	9	:	:	PUNCT
ijassa-803	200	10	1	1	NUM
ijassa-803	200	11	arg	arg	NOUN
ijassa-803	200	12	min	min	NOUN
ijassa-803	200	13	(	(	PUNCT
ijassa-803	200	14	,	,	PUNCT
ijassa-803	200	15	,	,	PUNCT
ijassa-803	200	16	)	)	PUNCT
ijassa-803	201	1	d	d	NOUN
ijassa-803	201	2	i	i	PRON
ijassa-803	201	3	k	k	NOUN
ijassa-803	201	4	k	k	NOUN
ijassa-803	201	5	r	r	NOUN
ijassa-803	201	6	l	l	NOUN
ijassa-803	201	7	z	z	NOUN
ijassa-803	201	8	e	e	X
ijassa-803	201	9	e	e	X
ijassa-803	201	10	e	e	PROPN
ijassa-803	201	11	j	j	PROPN
ijassa-803	201	12	�	�	PROPN
ijassa-803	201	13	�	�	PROPN
ijassa-803	201	14	(	(	PUNCT
ijassa-803	201	15	11	11	NUM
ijassa-803	201	16	)	)	PUNCT
ijassa-803	201	17	22	22	NUM
ijassa-803	201	18	2	2	NUM
ijassa-803	201	19	2	2	NUM
ijassa-803	201	20	1	1	NUM
ijassa-803	201	21	1	1	NUM
ijassa-803	201	22	2	2	NUM
ijassa-803	201	23	1	1	NUM
ijassa-803	201	24	(	(	PUNCT
ijassa-803	201	25	)	)	PUNCT
ijassa-803	201	26	(	(	PUNCT
ijassa-803	201	27	,	,	PUNCT
ijassa-803	201	28	)	)	PUNCT
ijassa-803	201	29	2	2	NUM
ijassa-803	201	30	2	2	NUM
ijassa-803	201	31	t	t	NOUN
ijassa-803	201	32	t	t	NOUN
ijassa-803	202	1	ty	ty	INTJ
ijassa-803	202	2	x	x	PROPN
ijassa-803	202	3	s	s	PROPN
ijassa-803	202	4	z	z	NOUN
ijassa-803	202	5	ue	ue	NOUN
ijassa-803	202	6	o	o	X
ijassa-803	202	7	e	e	X
ijassa-803	202	8	e	e	NOUN
ijassa-803	202	9	o	o	X
ijassa-803	202	10	j	j	PROPN
ijassa-803	202	11	e	e	X
ijassa-803	202	12	j	j	PROPN
ijassa-803	202	13	e	e	X
ijassa-803	202	14	j	j	PROPN
ijassa-803	202	15	e	e	PROPN
ijassa-803	202	16	e	e	PROPN
ijassa-803	202	17	w	w	PROPN
ijassa-803	202	18	w	w	PROPN
ijassa-803	202	19	ª	ª	PROPN
ijassa-803	202	20	º	º	PROPN
ijassa-803	202	21	�	�	PROPN
ijassa-803	202	22	�	�	PROPN
ijassa-803	202	23	�	�	PROPN
ijassa-803	202	24	�	�	PROPN
ijassa-803	202	25	�	�	PROPN
ijassa-803	202	26	�	�	PROPN
ijassa-803	202	27	�	�	PROPN
ijassa-803	202	28	«	«	PUNCT
ijassa-803	202	29	»	»	PUNCT
ijassa-803	202	30	w	w	PROPN
ijassa-803	202	31	w	w	PROPN
ijassa-803	202	32	¬	¬	PROPN
ijassa-803	202	33	¼	¼	NOUN
ijassa-803	202	34	=	=	NOUN
ijassa-803	202	35	0	0	SYM
ijassa-803	202	36	2	2	NUM
ijassa-803	202	37	(	(	PUNCT
ijassa-803	202	38	)	)	PUNCT
ijassa-803	202	39	0	0	NUM
ijassa-803	202	40	t	t	NOUN
ijassa-803	202	41	k	k	X
ijassa-803	202	42	kxy	kxy	NOUN
ijassa-803	203	1	xx	xx	NUM
ijassa-803	203	2	s	s	VERB
ijassa-803	203	3	ze	ze	NOUN
ijassa-803	203	4	o	o	NOUN
ijassa-803	203	5	e	e	X
ijassa-803	203	6	u	u	PROPN
ijassa-803	203	7	e	e	PROPN
ijassa-803	203	8	j	j	PROPN
ijassa-803	203	9	�	�	PROPN
ijassa-803	203	10	�	�	PROPN
ijassa-803	203	11	�	�	PROPN
ijassa-803	203	12	�	�	PROPN
ijassa-803	203	13	�	�	PROPN
ijassa-803	203	14	1	1	NUM
ijassa-803	203	15	1	1	NUM
ijassa-803	203	16	2	2	NUM
ijassa-803	203	17	(	(	PUNCT
ijassa-803	203	18	)	)	PUNCT
ijassa-803	203	19	0	0	NUM
ijassa-803	203	20	2	2	NUM
ijassa-803	203	21	(	(	PUNCT
ijassa-803	203	22	2	2	NUM
ijassa-803	203	23	)	)	PUNCT
ijassa-803	203	24	t	t	NOUN
ijassa-803	204	1	k	k	PROPN
ijassa-803	205	1	k	k	PROPN
ijassa-803	205	2	k	k	PROPN
ijassa-803	206	1	k	k	PROPN
ijassa-803	206	2	t	t	PROPN
ijassa-803	207	1	k	k	PROPN
ijassa-803	207	2	t	t	PROPN
ijassa-803	208	1	k	k	PROPN
ijassa-803	208	2	k	k	PROPN
ijassa-803	209	1	xy	xy	INTJ
ijassa-803	209	2	xx	xx	NUM
ijassa-803	209	3	s	s	VERB
ijassa-803	209	4	z	z	NOUN
ijassa-803	209	5	xy	xy	PROPN
ijassa-803	209	6	z	z	NOUN
ijassa-803	210	1	xx	xx	NUM
ijassa-803	210	2	s	s	VERB
ijassa-803	210	3	xx	xx	PRON
ijassa-803	210	4	s	s	VERB
ijassa-803	211	1	i	i	PRON
ijassa-803	211	2	xy	xy	NOUN
ijassa-803	211	3	z	z	NOUN
ijassa-803	211	4	e	e	NOUN
ijassa-803	211	5	o	o	X
ijassa-803	211	6	e	e	X
ijassa-803	211	7	u	u	X
ijassa-803	211	8	e	e	PROPN
ijassa-803	211	9	j	j	PROPN
ijassa-803	211	10	uj	uj	PROPN
ijassa-803	211	11	e	e	X
ijassa-803	211	12	o	o	X
ijassa-803	211	13	e	e	X
ijassa-803	211	14	ue	ue	PROPN
ijassa-803	211	15	e	e	X
ijassa-803	211	16	o	o	X
ijassa-803	211	17	u	u	PROPN
ijassa-803	211	18	uj	uj	PROPN
ijassa-803	211	19	�	�	PROPN
ijassa-803	211	20	�	�	PROPN
ijassa-803	211	21	�	�	PROPN
ijassa-803	211	22	�	�	PROPN
ijassa-803	211	23	�	�	PROPN
ijassa-803	211	24	�	�	PROPN
ijassa-803	211	25	�	�	PROPN
ijassa-803	211	26	�	�	PROPN
ijassa-803	211	27	�	�	PROPN
ijassa-803	211	28	�	�	PROPN
ijassa-803	211	29	�	�	PROPN
ijassa-803	211	30	�	�	PROPN
ijassa-803	211	31	�	�	PROPN
ijassa-803	211	32	�	�	PROPN
ijassa-803	211	33	�	�	PROPN
ijassa-803	211	34	1	1	NUM
ijassa-803	211	35	1arg	1arg	PROPN
ijassa-803	211	36	min	min	NOUN
ijassa-803	211	37	(	(	PUNCT
ijassa-803	211	38	,	,	PUNCT
ijassa-803	211	39	,	,	PUNCT
ijassa-803	211	40	)	)	PUNCT
ijassa-803	212	1	d	d	X
ijassa-803	212	2	k	k	PROPN
ijassa-803	212	3	k	k	PROPN
ijassa-803	212	4	k	k	PROPN
ijassa-803	212	5	r	r	NOUN
ijassa-803	212	6	l	l	NOUN
ijassa-803	212	7	z	z	X
ijassa-803	212	8	e	e	X
ijassa-803	212	9	j	j	PROPN
ijassa-803	212	10	e	e	PROPN
ijassa-803	212	11	j	j	PROPN
ijassa-803	212	12	�	�	PROPN
ijassa-803	212	13	�	�	PROPN
ijassa-803	212	14	�	�	PROPN
ijassa-803	212	15	(	(	PUNCT
ijassa-803	212	16	12	12	NUM
ijassa-803	212	17	)	)	PUNCT
ijassa-803	212	18	by	by	ADP
ijassa-803	212	19	applying	apply	VERB
ijassa-803	212	20	1k	1k	PRON
ijassa-803	212	21	ie	ie	X
ijassa-803	212	22	�	�	PROPN
ijassa-803	212	23	and	and	CCONJ
ijassa-803	212	24	the	the	DET
ijassa-803	212	25	multipliers	multiplier	NOUN
ijassa-803	212	26	,	,	PUNCT
ijassa-803	212	27	1,2	1,2	NUM
ijassa-803	212	28	......	......	PUNCT
ijassa-803	212	29	k	k	NOUN
ijassa-803	213	1	iz	iz	INTJ
ijassa-803	213	2	i	i	PRON
ijassa-803	214	1	d	d	NOUN
ijassa-803	214	2	are	be	AUX
ijassa-803	214	3	fixed	fix	VERB
ijassa-803	214	4	in	in	ADP
ijassa-803	214	5	the	the	DET
ijassa-803	214	6	lagrangian	lagrangian	ADJ
ijassa-803	214	7	,	,	PUNCT
ijassa-803	214	8	the	the	DET
ijassa-803	214	9	minimization	minimization	NOUN
ijassa-803	214	10	problem	problem	NOUN
ijassa-803	214	11	of	of	ADP
ijassa-803	214	12	1	1	NUM
ijassa-803	214	13	,	,	PUNCT
ijassa-803	214	14	1,2	1,2	NUM
ijassa-803	214	15	......	......	PUNCT
ijassa-803	215	1	k	k	NOUN
ijassa-803	216	1	i	i	PRON
ijassa-803	217	1	i	i	PRON
ijassa-803	217	2	dj	dj	VERB
ijassa-803	217	3	�	�	PROPN
ijassa-803	217	4	is	be	AUX
ijassa-803	217	5	:	:	PUNCT
ijassa-803	217	6	�	�	PROPN
ijassa-803	217	7	�	�	PROPN
ijassa-803	217	8	�	�	PROPN
ijassa-803	217	9	�	�	PROPN
ijassa-803	217	10	21	21	NUM
ijassa-803	217	11	1	1	NUM
ijassa-803	217	12	1	1	NUM
ijassa-803	217	13	1	1	NUM
ijassa-803	217	14	1	1	NUM
ijassa-803	217	15	min	min	NOUN
ijassa-803	217	16	[	[	PUNCT
ijassa-803	217	17	.	.	PUNCT
ijassa-803	217	18	]	]	X
ijassa-803	218	1	2i	2i	NUM
ijassa-803	218	2	d	d	NOUN
ijassa-803	219	1	d	d	PROPN
ijassa-803	219	2	d	d	X
ijassa-803	219	3	k	k	PROPN
ijassa-803	220	1	k	k	PROPN
ijassa-803	220	2	i	i	PRON
ijassa-803	221	1	i	i	PRON
ijassa-803	221	2	i	i	PRON
ijassa-803	222	1	i	i	PRON
ijassa-803	222	2	i	i	PRON
ijassa-803	223	1	i	i	PRON
ijassa-803	223	2	i	i	PRON
ijassa-803	224	1	i	i	PRON
ijassa-803	225	1	i	i	PRON
ijassa-803	225	2	z	z	VERB
ijassa-803	226	1	j	j	PROPN
ijassa-803	226	2	uo	uo	NOUN
ijassa-803	226	3	j	j	PROPN
ijassa-803	226	4	j	j	PROPN
ijassa-803	226	5	e	e	PROPN
ijassa-803	226	6	j	j	PROPN
ijassa-803	226	7	�	�	PROPN
ijassa-803	226	8	�	�	PROPN
ijassa-803	226	9	�	�	PROPN
ijassa-803	226	10	�	�	PROPN
ijassa-803	226	11	¦	¦	PROPN
ijassa-803	226	12	¦	¦	PROPN
ijassa-803	226	13	¦	¦	PROPN
ijassa-803	226	14	(	(	PUNCT
ijassa-803	226	15	13	13	NUM
ijassa-803	226	16	)	)	PUNCT
ijassa-803	226	17	derivative	derivative	NOUN
ijassa-803	226	18	of	of	ADP
ijassa-803	226	19	equation	equation	NOUN
ijassa-803	226	20	with	with	ADP
ijassa-803	226	21	respect	respect	NOUN
ijassa-803	226	22	to	to	ADP
ijassa-803	226	23	ij	ij	NOUN
ijassa-803	226	24	and	and	CCONJ
ijassa-803	226	25	equating	equate	VERB
ijassa-803	226	26	it	it	PRON
ijassa-803	226	27	to	to	ADP
ijassa-803	226	28	zero	zero	NUM
ijassa-803	226	29	,	,	PUNCT
ijassa-803	226	30	we	we	PRON
ijassa-803	226	31	get	get	VERB
ijassa-803	226	32	:	:	PUNCT
ijassa-803	226	33	1	1	NUM
ijassa-803	226	34	1	1	NUM
ijassa-803	226	35	(	(	PUNCT
ijassa-803	226	36	)	)	PUNCT
ijassa-803	226	37	0	0	NUM
ijassa-803	227	1	(	(	PUNCT
ijassa-803	227	2	)	)	PUNCT
ijassa-803	227	3	i	i	PRON
ijassa-803	228	1	i	i	VERB
ijassa-803	229	1	k	k	PROPN
ijassa-803	230	1	k	k	PROPN
ijassa-803	231	1	i	i	PRON
ijassa-803	232	1	i	i	PRON
ijassa-803	233	1	i	i	PRON
ijassa-803	234	1	i	i	PRON
ijassa-803	235	1	i	i	PRON
ijassa-803	236	1	i	i	VERB
ijassa-803	236	2	k	k	VERB
ijassa-803	237	1	k	k	PROPN
ijassa-803	238	1	i	i	PRON
ijassa-803	239	1	i	i	PRON
ijassa-803	240	1	i	i	PRON
ijassa-803	241	1	i	i	VERB
ijassa-803	241	2	z	z	VERB
ijassa-803	242	1	z	z	NOUN
ijassa-803	242	2	o	o	X
ijassa-803	242	3	j	j	X
ijassa-803	242	4	u	u	X
ijassa-803	243	1	j	j	PROPN
ijassa-803	243	2	e	e	X
ijassa-803	243	3	j	j	PROPN
ijassa-803	243	4	o	o	X
ijassa-803	243	5	j	j	X
ijassa-803	243	6	u	u	X
ijassa-803	243	7	j	j	PROPN
ijassa-803	243	8	e	e	PROPN
ijassa-803	243	9	j	j	PROPN
ijassa-803	243	10	�	�	PROPN
ijassa-803	243	11	�	�	PROPN
ijassa-803	243	12	w	w	PROPN
ijassa-803	243	13	�	�	PROPN
ijassa-803	243	14	�	�	PROPN
ijassa-803	243	15	�	�	PROPN
ijassa-803	243	16	w	w	PROPN
ijassa-803	243	17	w	w	PROPN
ijassa-803	243	18	�	�	PROPN
ijassa-803	243	19	�	�	PROPN
ijassa-803	243	20	w	w	PROPN
ijassa-803	243	21	�	�	PROPN
ijassa-803	243	22	�	�	PROPN
ijassa-803	243	23	�	�	PROPN
ijassa-803	243	24	�	�	PROPN
ijassa-803	243	25	1	1	NUM
ijassa-803	243	26	1	1	NUM
ijassa-803	243	27	1	1	NUM
ijassa-803	243	28	1	1	NUM
ijassa-803	243	29	1	1	NUM
ijassa-803	243	30	1	1	NUM
ijassa-803	243	31	1	1	NUM
ijassa-803	243	32	1	1	NUM
ijassa-803	243	33	0	0	NUM
ijassa-803	243	34	[	[	PUNCT
ijassa-803	243	35	,	,	PUNCT
ijassa-803	243	36	]	]	PUNCT
ijassa-803	243	37	k	k	PROPN
ijassa-803	244	1	k	k	PROPN
ijassa-803	244	2	k	k	PROPN
ijassa-803	245	1	k	k	PROPN
ijassa-803	245	2	i	i	PRON
ijassa-803	246	1	i	i	PRON
ijassa-803	246	2	i	i	PRON
ijassa-803	247	1	i	i	PRON
ijassa-803	247	2	i	i	PRON
ijassa-803	248	1	i	i	PRON
ijassa-803	249	1	i	i	VERB
ijassa-803	249	2	k	k	PROPN
ijassa-803	250	1	k	k	PROPN
ijassa-803	250	2	k	k	PROPN
ijassa-803	251	1	k	k	PROPN
ijassa-803	251	2	i	i	PRON
ijassa-803	252	1	i	i	PRON
ijassa-803	252	2	i	i	PRON
ijassa-803	253	1	i	i	PRON
ijassa-803	254	1	i	i	PRON
ijassa-803	255	1	i	i	VERB
ijassa-803	255	2	k	k	VERB
ijassa-803	256	1	k	k	PROPN
ijassa-803	256	2	i	i	PRON
ijassa-803	257	1	i	i	INTJ
ijassa-803	257	2	i	i	PRON
ijassa-803	258	1	z	z	VERB
ijassa-803	259	1	if	if	SCONJ
ijassa-803	259	2	z	z	NOUN
ijassa-803	259	3	z	z	NOUN
ijassa-803	260	1	if	if	SCONJ
ijassa-803	260	2	z	z	PROPN
ijassa-803	260	3	z	z	NOUN
ijassa-803	261	1	ue	ue	INTJ
ijassa-803	262	1	o	o	INTJ
ijassa-803	262	2	ue	ue	INTJ
ijassa-803	262	3	o	o	X
ijassa-803	262	4	u	u	NOUN
ijassa-803	262	5	j	j	PROPN
ijassa-803	262	6	ue	ue	INTJ
ijassa-803	263	1	o	o	INTJ
ijassa-803	263	2	ue	ue	INTJ
ijassa-803	263	3	o	o	X
ijassa-803	263	4	u	u	NOUN
ijassa-803	263	5	ue	ue	PROPN
ijassa-803	263	6	o	o	NOUN
ijassa-803	263	7	o	o	X
ijassa-803	263	8	�	�	PROPN
ijassa-803	263	9	�	�	PROPN
ijassa-803	263	10	�	�	PROPN
ijassa-803	263	11	�	�	PROPN
ijassa-803	263	12	�	�	PROPN
ijassa-803	263	13	�	�	PROPN
ijassa-803	263	14	­	­	PROPN
ijassa-803	263	15	�	�	PROPN
ijassa-803	263	16	�	�	PROPN
ijassa-803	263	17	�	�	PROPN
ijassa-803	263	18	!	!	PUNCT
ijassa-803	263	19	°	°	PROPN
ijassa-803	264	1	°	°	PROPN
ijassa-803	264	2	°	°	PROPN
ijassa-803	264	3	�	�	PROPN
ijassa-803	264	4	�	�	PROPN
ijassa-803	264	5	�	�	PROPN
ijassa-803	264	6	�	�	PROPN
ijassa-803	264	7	�	�	PROPN
ijassa-803	264	8	®	®	NOUN
ijassa-803	264	9	°	°	VERB
ijassa-803	264	10	°	°	PROPN
ijassa-803	264	11	�	�	PROPN
ijassa-803	264	12	�	�	PROPN
ijassa-803	264	13	�	�	PROPN
ijassa-803	264	14	°	°	PROPN
ijassa-803	265	1	¯	¯	PROPN
ijassa-803	265	2	(	(	PUNCT
ijassa-803	265	3	14	14	NUM
ijassa-803	265	4	)	)	SYM
ijassa-803	265	5	1	1	NUM
ijassa-803	265	6	1	1	NUM
ijassa-803	265	7	1	1	NUM
ijassa-803	265	8	(	(	PUNCT
ijassa-803	265	9	)	)	PUNCT
ijassa-803	265	10	k	k	PROPN
ijassa-803	266	1	k	k	PROPN
ijassa-803	266	2	k	k	PROPN
ijassa-803	267	1	k	k	PROPN
ijassa-803	267	2	i	i	PRON
ijassa-803	268	1	i	i	PRON
ijassa-803	268	2	i	i	PRON
ijassa-803	269	1	iz	iz	VERB
ijassa-803	269	2	z	z	NOUN
ijassa-803	269	3	u	u	PROPN
ijassa-803	269	4	e	e	PROPN
ijassa-803	269	5	j	j	PROPN
ijassa-803	269	6	�	�	PROPN
ijassa-803	269	7	�	�	PROPN
ijassa-803	269	8	�	�	PROPN
ijassa-803	269	9	�	�	PROPN
ijassa-803	269	10	�	�	PROPN
ijassa-803	269	11	(	(	PUNCT
ijassa-803	269	12	15	15	NUM
ijassa-803	269	13	)	)	PUNCT
ijassa-803	269	14	a	a	PRON
ijassa-803	269	15	novel	novel	ADJ
ijassa-803	269	16	enriched	enrich	VERB
ijassa-803	269	17	lasso	lasso	NOUN
ijassa-803	269	18	based	base	VERB
ijassa-803	269	19	compression	compression	NOUN
ijassa-803	269	20	technique	technique	NOUN
ijassa-803	269	21	for	for	ADP
ijassa-803	269	22	energy	energy	NOUN
ijassa-803	269	23	efficient	efficient	ADJ
ijassa-803	269	24	wireless	wireless	ADJ
ijassa-803	269	25	sensor	sensor	NOUN
ijassa-803	269	26	networks	network	VERB
ijassa-803	269	27	73	73	NUM
ijassa-803	269	28	copyright	copyright	NOUN
ijassa-803	269	29	©	©	PROPN
ijassa-803	269	30	2020	2020	NUM
ijassa-803	269	31	assa	assa	PROPN
ijassa-803	269	32	adv	adv	PROPN
ijassa-803	269	33	.	.	PUNCT
ijassa-803	270	1	in	in	ADP
ijassa-803	270	2	systems	system	NOUN
ijassa-803	270	3	science	science	NOUN
ijassa-803	270	4	and	and	CCONJ
ijassa-803	270	5	appl	appl	NOUN
ijassa-803	270	6	.	.	PUNCT
ijassa-803	271	1	(	(	PUNCT
ijassa-803	271	2	2020	2020	NUM
ijassa-803	271	3	)	)	PUNCT
ijassa-803	271	4	the	the	DET
ijassa-803	271	5	learning	learn	VERB
ijassa-803	271	6	algorithm	algorithm	NOUN
ijassa-803	271	7	is	be	AUX
ijassa-803	271	8	considered	consider	VERB
ijassa-803	271	9	converged	converged	ADJ
ijassa-803	271	10	and	and	CCONJ
ijassa-803	271	11	stops	stop	VERB
ijassa-803	271	12	if	if	SCONJ
ijassa-803	271	13	the	the	DET
ijassa-803	271	14	primal	primal	ADJ
ijassa-803	271	15	and	and	CCONJ
ijassa-803	271	16	dual	dual	ADJ
ijassa-803	271	17	residuals	residual	NOUN
ijassa-803	271	18	meets	meet	VERB
ijassa-803	271	19	the	the	DET
ijassa-803	271	20	predefined	predefine	VERB
ijassa-803	271	21	stopping	stopping	NOUN
ijassa-803	271	22	criterion	criterion	NOUN
ijassa-803	271	23	mentioned	mention	VERB
ijassa-803	271	24	as	as	ADP
ijassa-803	271	25	absolute	absolute	ADJ
ijassa-803	271	26	tolerance	tolerance	NOUN
ijassa-803	271	27	and	and	CCONJ
ijassa-803	271	28	relative	relative	ADJ
ijassa-803	271	29	tolerance	tolerance	NOUN
ijassa-803	271	30	.	.	PUNCT
ijassa-803	272	1	the	the	DET
ijassa-803	272	2	penalty	penalty	NOUN
ijassa-803	272	3	parameter	parameter	NOUN
ijassa-803	272	4	u	u	PROPN
ijassa-803	272	5	affects	affect	VERB
ijassa-803	272	6	the	the	DET
ijassa-803	272	7	primal	primal	ADJ
ijassa-803	272	8	and	and	CCONJ
ijassa-803	272	9	dual	dual	ADJ
ijassa-803	272	10	residuals	residual	NOUN
ijassa-803	272	11	,	,	PUNCT
ijassa-803	272	12	and	and	CCONJ
ijassa-803	272	13	hence	hence	ADV
ijassa-803	272	14	affects	affect	VERB
ijassa-803	272	15	the	the	DET
ijassa-803	272	16	termination	termination	NOUN
ijassa-803	272	17	of	of	ADP
ijassa-803	272	18	the	the	DET
ijassa-803	272	19	algorithm	algorithm	NOUN
ijassa-803	272	20	.	.	PUNCT
ijassa-803	273	1	a	a	DET
ijassa-803	273	2	large	large	ADJ
ijassa-803	273	3	ρ	ρ	NOUN
ijassa-803	273	4	tends	tend	VERB
ijassa-803	273	5	to	to	PART
ijassa-803	273	6	produce	produce	VERB
ijassa-803	273	7	small	small	ADJ
ijassa-803	273	8	primal	primal	ADJ
ijassa-803	273	9	residuals	residual	NOUN
ijassa-803	273	10	,	,	PUNCT
ijassa-803	273	11	but	but	CCONJ
ijassa-803	273	12	increases	increase	VERB
ijassa-803	273	13	the	the	DET
ijassa-803	273	14	dual	dual	ADJ
ijassa-803	273	15	residuals	residual	NOUN
ijassa-803	273	16	.	.	PUNCT
ijassa-803	274	1	a	a	DET
ijassa-803	274	2	fixed	fix	VERB
ijassa-803	274	3	0u	0u	NOUN
ijassa-803	274	4	is	be	AUX
ijassa-803	274	5	commonly	commonly	ADV
ijassa-803	274	6	used	use	VERB
ijassa-803	274	7	.	.	PUNCT
ijassa-803	275	1	but	but	CCONJ
ijassa-803	275	2	there	there	PRON
ijassa-803	275	3	are	be	VERB
ijassa-803	275	4	some	some	DET
ijassa-803	275	5	schemes	scheme	NOUN
ijassa-803	275	6	for	for	ADP
ijassa-803	275	7	varying	vary	VERB
ijassa-803	275	8	the	the	DET
ijassa-803	275	9	penalty	penalty	NOUN
ijassa-803	275	10	parameter	parameter	NOUN
ijassa-803	275	11	which	which	PRON
ijassa-803	275	12	achieve	achieve	VERB
ijassa-803	275	13	better	well	ADJ
ijassa-803	275	14	convergence	convergence	NOUN
ijassa-803	275	15	.	.	PUNCT
ijassa-803	276	1	4	4	X
ijassa-803	276	2	.	.	X
ijassa-803	276	3	experimental	experimental	ADJ
ijassa-803	276	4	results	result	NOUN
ijassa-803	276	5	in	in	ADP
ijassa-803	276	6	this	this	DET
ijassa-803	276	7	section	section	NOUN
ijassa-803	276	8	,	,	PUNCT
ijassa-803	276	9	we	we	PRON
ijassa-803	276	10	brief	brief	VERB
ijassa-803	276	11	and	and	CCONJ
ijassa-803	276	12	report	report	VERB
ijassa-803	276	13	the	the	DET
ijassa-803	276	14	results	result	NOUN
ijassa-803	276	15	to	to	PART
ijassa-803	276	16	illustrate	illustrate	VERB
ijassa-803	276	17	the	the	DET
ijassa-803	276	18	performance	performance	NOUN
ijassa-803	276	19	of	of	ADP
ijassa-803	276	20	lasso	lasso	NOUN
ijassa-803	276	21	approximation	approximation	NOUN
ijassa-803	276	22	algorithm	algorithm	NOUN
ijassa-803	276	23	on	on	ADP
ijassa-803	276	24	both	both	CCONJ
ijassa-803	276	25	multivariate	multivariate	NOUN
ijassa-803	276	26	and	and	CCONJ
ijassa-803	276	27	univariate	univariate	ADJ
ijassa-803	276	28	datasets	dataset	NOUN
ijassa-803	276	29	.	.	PUNCT
ijassa-803	277	1	we	we	PRON
ijassa-803	277	2	implemented	implement	VERB
ijassa-803	277	3	both	both	DET
ijassa-803	277	4	algorithms	algorithm	NOUN
ijassa-803	277	5	in	in	ADP
ijassa-803	277	6	java	java	NOUN
ijassa-803	277	7	with	with	ADP
ijassa-803	277	8	eclipse	eclipse	NOUN
ijassa-803	277	9	as	as	ADP
ijassa-803	277	10	front	front	ADJ
ijassa-803	277	11	end	end	NOUN
ijassa-803	277	12	.	.	PUNCT
ijassa-803	278	1	all	all	DET
ijassa-803	278	2	experiments	experiment	NOUN
ijassa-803	278	3	were	be	AUX
ijassa-803	278	4	performed	perform	VERB
ijassa-803	278	5	on	on	ADP
ijassa-803	278	6	a	a	DET
ijassa-803	278	7	hp	hp	NOUN
ijassa-803	278	8	with	with	ADP
ijassa-803	278	9	an	an	DET
ijassa-803	278	10	intel	intel	NOUN
ijassa-803	278	11	processor	processor	NOUN
ijassa-803	278	12	with	with	ADP
ijassa-803	278	13	access	access	NOUN
ijassa-803	278	14	to	to	ADP
ijassa-803	278	15	5	5	NUM
ijassa-803	278	16	gb	gb	NOUN
ijassa-803	278	17	of	of	ADP
ijassa-803	278	18	ram	ram	NOUN
ijassa-803	278	19	.	.	PUNCT
ijassa-803	279	1	4.1	4.1	NUM
ijassa-803	279	2	.	.	PUNCT
ijassa-803	280	1	experimental	experimental	ADJ
ijassa-803	280	2	data	datum	NOUN
ijassa-803	280	3	the	the	DET
ijassa-803	280	4	compression	compression	NOUN
ijassa-803	280	5	capability	capability	NOUN
ijassa-803	280	6	of	of	ADP
ijassa-803	280	7	mlasso	mlasso	ADJ
ijassa-803	280	8	algorithm	algorithm	NOUN
ijassa-803	280	9	is	be	AUX
ijassa-803	280	10	verified	verify	VERB
ijassa-803	280	11	with	with	ADP
ijassa-803	280	12	datasets	dataset	NOUN
ijassa-803	280	13	provided	provide	VERB
ijassa-803	280	14	by	by	ADP
ijassa-803	280	15	sensor	sensor	NOUN
ijassa-803	280	16	scope	scope	NOUN
ijassa-803	280	17	in	in	ADP
ijassa-803	280	18	collaboration	collaboration	NOUN
ijassa-803	280	19	with	with	ADP
ijassa-803	280	20	hes	he	NOUN
ijassa-803	280	21	-	-	PUNCT
ijassa-803	280	22	so	so	ADV
ijassa-803	280	23	,	,	PUNCT
ijassa-803	280	24	clim	clim	PROPN
ijassa-803	280	25	-	-	PUNCT
ijassa-803	280	26	arbes	arbe	NOUN
ijassa-803	280	27	project	project	NOUN
ijassa-803	280	28	and	and	CCONJ
ijassa-803	280	29	microphone	microphone	NOUN
ijassa-803	280	30	provided	provide	VERB
ijassa-803	280	31	by	by	ADP
ijassa-803	280	32	cmu	cmu	NOUN
ijassa-803	280	33	.	.	PUNCT
ijassa-803	281	1	sensor	sensor	NOUN
ijassa-803	281	2	scope	scope	NOUN
ijassa-803	281	3	:	:	PUNCT
ijassa-803	281	4	the	the	DET
ijassa-803	281	5	real	real	ADJ
ijassa-803	281	6	time	time	NOUN
ijassa-803	281	7	data	datum	NOUN
ijassa-803	281	8	is	be	AUX
ijassa-803	281	9	collected	collect	VERB
ijassa-803	281	10	using	use	VERB
ijassa-803	281	11	a	a	DET
ijassa-803	281	12	small	small	ADJ
ijassa-803	281	13	sensor	sensor	NOUN
ijassa-803	281	14	network	network	NOUN
ijassa-803	281	15	[	[	X
ijassa-803	281	16	26	26	NUM
ijassa-803	281	17	]	]	PUNCT
ijassa-803	281	18	.	.	PUNCT
ijassa-803	282	1	the	the	DET
ijassa-803	282	2	data	data	NOUN
ijassa-803	282	3	collection	collection	NOUN
ijassa-803	282	4	consists	consist	VERB
ijassa-803	282	5	of	of	ADP
ijassa-803	282	6	1472	1472	NUM
ijassa-803	282	7	recordings	recording	NOUN
ijassa-803	282	8	of	of	ADP
ijassa-803	282	9	temperature	temperature	NOUN
ijassa-803	282	10	and	and	CCONJ
ijassa-803	282	11	humidity	humidity	NOUN
ijassa-803	282	12	sampled	sample	VERB
ijassa-803	282	13	at	at	ADP
ijassa-803	282	14	2	2	NUM
ijassa-803	282	15	seconds	second	NOUN
ijassa-803	282	16	.	.	PUNCT
ijassa-803	283	1	it	it	PRON
ijassa-803	283	2	is	be	AUX
ijassa-803	283	3	noticed	notice	VERB
ijassa-803	283	4	that	that	SCONJ
ijassa-803	283	5	the	the	DET
ijassa-803	283	6	recorded	record	VERB
ijassa-803	283	7	values	value	NOUN
ijassa-803	283	8	of	of	ADP
ijassa-803	283	9	humidity	humidity	NOUN
ijassa-803	283	10	is	be	AUX
ijassa-803	283	11	higher	high	ADJ
ijassa-803	283	12	than	than	ADP
ijassa-803	283	13	the	the	DET
ijassa-803	283	14	recorded	record	VERB
ijassa-803	283	15	temperature	temperature	NOUN
ijassa-803	283	16	values	value	NOUN
ijassa-803	283	17	.	.	PUNCT
ijassa-803	284	1	the	the	DET
ijassa-803	284	2	recorded	recorded	ADJ
ijassa-803	284	3	values	value	NOUN
ijassa-803	284	4	are	be	AUX
ijassa-803	284	5	smooth	smooth	ADJ
ijassa-803	284	6	i.e.	i.e.	X
ijassa-803	284	7	there	there	PRON
ijassa-803	284	8	will	will	AUX
ijassa-803	284	9	not	not	PART
ijassa-803	284	10	be	be	AUX
ijassa-803	284	11	any	any	DET
ijassa-803	284	12	sudden	sudden	ADJ
ijassa-803	284	13	changes	change	NOUN
ijassa-803	284	14	.	.	PUNCT
ijassa-803	285	1	the	the	DET
ijassa-803	285	2	data	datum	NOUN
ijassa-803	285	3	is	be	AUX
ijassa-803	285	4	represented	represent	VERB
ijassa-803	285	5	as	as	ADP
ijassa-803	285	6	fn_t	fn_t	NUM
ijassa-803	285	7	(	(	PUNCT
ijassa-803	285	8	temperature	temperature	NOUN
ijassa-803	285	9	)	)	PUNCT
ijassa-803	285	10	and	and	CCONJ
ijassa-803	285	11	fn_h	fn_h	PRON
ijassa-803	285	12	(	(	PUNCT
ijassa-803	285	13	humidity	humidity	NOUN
ijassa-803	285	14	)	)	PUNCT
ijassa-803	285	15	.	.	PUNCT
ijassa-803	286	1	microphone	microphone	NOUN
ijassa-803	286	2	(	(	PUNCT
ijassa-803	286	3	cmu	cmu	ADV
ijassa-803	286	4	):	):	PUNCT
ijassa-803	286	5	the	the	DET
ijassa-803	286	6	dataset	dataset	NOUN
ijassa-803	286	7	contains	contain	VERB
ijassa-803	286	8	2887	2887	NUM
ijassa-803	286	9	data	datum	NOUN
ijassa-803	286	10	sampled	sample	VERB
ijassa-803	286	11	at	at	ADP
ijassa-803	286	12	an	an	DET
ijassa-803	286	13	interval	interval	NOUN
ijassa-803	286	14	of	of	ADP
ijassa-803	286	15	4	4	NUM
ijassa-803	286	16	-	-	SYM
ijassa-803	286	17	9	9	NUM
ijassa-803	286	18	seconds	second	NOUN
ijassa-803	286	19	done	do	VERB
ijassa-803	286	20	at	at	ADP
ijassa-803	286	21	cmu	cmu	PROPN
ijassa-803	286	22	room	room	NOUN
ijassa-803	286	23	nsh	nsh	PROPN
ijassa-803	286	24	4622	4622	NUM
ijassa-803	286	25	.	.	PUNCT
ijassa-803	287	1	the	the	DET
ijassa-803	287	2	univariate	univariate	ADJ
ijassa-803	287	3	data	data	NOUN
ijassa-803	287	4	is	be	AUX
ijassa-803	287	5	discontinuous	discontinuous	ADJ
ijassa-803	287	6	or	or	CCONJ
ijassa-803	287	7	non	non	ADJ
ijassa-803	287	8	-	-	ADJ
ijassa-803	287	9	smooth	smooth	ADJ
ijassa-803	287	10	due	due	ADP
ijassa-803	287	11	to	to	ADP
ijassa-803	287	12	presence	presence	NOUN
ijassa-803	287	13	of	of	ADP
ijassa-803	287	14	lot	lot	NOUN
ijassa-803	287	15	of	of	ADP
ijassa-803	287	16	noise	noise	NOUN
ijassa-803	287	17	and	and	CCONJ
ijassa-803	287	18	surges	surge	NOUN
ijassa-803	287	19	.	.	PUNCT
ijassa-803	288	1	the	the	DET
ijassa-803	288	2	dataset	dataset	NOUN
ijassa-803	288	3	is	be	AUX
ijassa-803	288	4	denoted	denote	VERB
ijassa-803	288	5	as	as	ADP
ijassa-803	288	6	sc_m	sc_m	NUM
ijassa-803	288	7	.	.	PUNCT
ijassa-803	289	1	mobile	mobile	ADJ
ijassa-803	289	2	health	health	NOUN
ijassa-803	289	3	(	(	PUNCT
ijassa-803	289	4	mhealth	mhealth	NOUN
ijassa-803	289	5	):	):	PUNCT
ijassa-803	289	6	among	among	ADP
ijassa-803	289	7	the	the	DET
ijassa-803	289	8	several	several	ADJ
ijassa-803	289	9	multivariate	multivariate	NOUN
ijassa-803	289	10	data	data	NOUN
ijassa-803	289	11	sets	set	NOUN
ijassa-803	289	12	available	available	ADJ
ijassa-803	289	13	for	for	ADP
ijassa-803	289	14	public	public	ADJ
ijassa-803	289	15	,	,	PUNCT
ijassa-803	289	16	the	the	DET
ijassa-803	289	17	mobile	mobile	ADJ
ijassa-803	289	18	health	health	NOUN
ijassa-803	289	19	(	(	PUNCT
ijassa-803	289	20	mhealth	mhealth	NOUN
ijassa-803	289	21	)	)	PUNCT
ijassa-803	289	22	three	three	NUM
ijassa-803	289	23	dimensional	dimensional	ADJ
ijassa-803	289	24	data	datum	NOUN
ijassa-803	289	25	set	set	VERB
ijassa-803	289	26	from	from	ADP
ijassa-803	289	27	uci	uci	PROPN
ijassa-803	289	28	machine	machine	NOUN
ijassa-803	289	29	learning	learn	VERB
ijassa-803	289	30	repository	repository	NOUN
ijassa-803	289	31	[	[	X
ijassa-803	289	32	25	25	NUM
ijassa-803	289	33	]	]	PUNCT
ijassa-803	289	34	is	be	AUX
ijassa-803	289	35	the	the	DET
ijassa-803	289	36	first	first	ADJ
ijassa-803	289	37	of	of	ADP
ijassa-803	289	38	its	its	PRON
ijassa-803	289	39	kind	kind	NOUN
ijassa-803	289	40	.	.	PUNCT
ijassa-803	290	1	the	the	DET
ijassa-803	290	2	dataset	dataset	NOUN
ijassa-803	290	3	comprises	comprise	NOUN
ijassa-803	290	4	of	of	ADP
ijassa-803	290	5	483840	483840	NUM
ijassa-803	290	6	data	datum	NOUN
ijassa-803	290	7	with	with	ADP
ijassa-803	290	8	a	a	DET
ijassa-803	290	9	sampling	sample	VERB
ijassa-803	290	10	rate	rate	NOUN
ijassa-803	290	11	of	of	ADP
ijassa-803	290	12	0.02	0.02	NUM
ijassa-803	290	13	second	second	NOUN
ijassa-803	290	14	.	.	PUNCT
ijassa-803	291	1	the	the	DET
ijassa-803	291	2	collection	collection	NOUN
ijassa-803	291	3	contains	contain	VERB
ijassa-803	291	4	body	body	NOUN
ijassa-803	291	5	motion	motion	NOUN
ijassa-803	291	6	and	and	CCONJ
ijassa-803	291	7	vibrant	vibrant	ADJ
ijassa-803	291	8	signs	sign	NOUN
ijassa-803	291	9	from	from	ADP
ijassa-803	291	10	ten	ten	NUM
ijassa-803	291	11	volunteers	volunteer	NOUN
ijassa-803	291	12	while	while	SCONJ
ijassa-803	291	13	performing	perform	VERB
ijassa-803	291	14	twelve	twelve	NUM
ijassa-803	291	15	physical	physical	ADJ
ijassa-803	291	16	activities	activity	NOUN
ijassa-803	291	17	using	use	VERB
ijassa-803	291	18	shimmer	shimmer	ADJ
ijassa-803	291	19	wearable	wearable	ADJ
ijassa-803	291	20	sensors	sensor	NOUN
ijassa-803	291	21	.	.	PUNCT
ijassa-803	292	1	the	the	DET
ijassa-803	292	2	multiple	multiple	ADJ
ijassa-803	292	3	sensors	sensor	NOUN
ijassa-803	292	4	used	use	VERB
ijassa-803	292	5	measures	measure	NOUN
ijassa-803	292	6	the	the	DET
ijassa-803	292	7	motion	motion	NOUN
ijassa-803	292	8	experienced	experience	VERB
ijassa-803	292	9	by	by	ADP
ijassa-803	292	10	the	the	DET
ijassa-803	292	11	body	body	NOUN
ijassa-803	292	12	parts	part	NOUN
ijassa-803	292	13	namely	namely	ADV
ijassa-803	292	14	acceleration	acceleration	NOUN
ijassa-803	292	15	,	,	PUNCT
ijassa-803	292	16	the	the	DET
ijassa-803	292	17	rate	rate	NOUN
ijassa-803	292	18	of	of	ADP
ijassa-803	292	19	turn	turn	NOUN
ijassa-803	292	20	and	and	CCONJ
ijassa-803	292	21	the	the	DET
ijassa-803	292	22	magnetic	magnetic	ADJ
ijassa-803	292	23	field	field	NOUN
ijassa-803	292	24	orientation	orientation	NOUN
ijassa-803	292	25	.	.	PUNCT
ijassa-803	293	1	from	from	ADP
ijassa-803	293	2	the	the	DET
ijassa-803	293	3	mhealth	mhealth	NOUN
ijassa-803	293	4	data	datum	NOUN
ijassa-803	293	5	set	set	VERB
ijassa-803	293	6	,	,	PUNCT
ijassa-803	293	7	two	two	NUM
ijassa-803	293	8	-	-	PUNCT
ijassa-803	293	9	lead	lead	NOUN
ijassa-803	293	10	ecg	ecg	PROPN
ijassa-803	293	11	(	(	PUNCT
ijassa-803	293	12	mh_ecg	mh_ecg	PROPN
ijassa-803	293	13	)	)	PUNCT
ijassa-803	293	14	,	,	PUNCT
ijassa-803	293	15	three	three	NUM
ijassa-803	293	16	-	-	PUNCT
ijassa-803	293	17	axis	axis	NOUN
ijassa-803	293	18	acceleration	acceleration	NOUN
ijassa-803	293	19	of	of	ADP
ijassa-803	293	20	right	right	ADJ
ijassa-803	293	21	wrist	wrist	NOUN
ijassa-803	293	22	(	(	PUNCT
ijassa-803	293	23	mh_ar	mh_ar	PROPN
ijassa-803	293	24	)	)	PUNCT
ijassa-803	293	25	,	,	PUNCT
ijassa-803	293	26	three	three	NUM
ijassa-803	293	27	-	-	PUNCT
ijassa-803	293	28	axis	axis	NOUN
ijassa-803	293	29	acceleration	acceleration	NOUN
ijassa-803	293	30	of	of	ADP
ijassa-803	293	31	left	left	ADJ
ijassa-803	293	32	ankle	ankle	NOUN
ijassa-803	293	33	(	(	PUNCT
ijassa-803	293	34	mh_al	mh_al	PROPN
ijassa-803	293	35	)	)	PUNCT
ijassa-803	293	36	,	,	PUNCT
ijassa-803	293	37	and	and	CCONJ
ijassa-803	293	38	three	three	NUM
ijassa-803	293	39	-	-	PUNCT
ijassa-803	293	40	axis	axis	NOUN
ijassa-803	293	41	magnet	magnet	NOUN
ijassa-803	293	42	data	datum	NOUN
ijassa-803	293	43	(	(	PUNCT
ijassa-803	293	44	mh_mg	mh_mg	PROPN
ijassa-803	293	45	)	)	PUNCT
ijassa-803	293	46	are	be	AUX
ijassa-803	293	47	selected	select	VERB
ijassa-803	293	48	for	for	ADP
ijassa-803	293	49	experimentation	experimentation	NOUN
ijassa-803	293	50	.	.	PUNCT
ijassa-803	294	1	crawdad	crawdad	NOUN
ijassa-803	294	2	:	:	PUNCT
ijassa-803	294	3	the	the	DET
ijassa-803	294	4	second	second	ADJ
ijassa-803	294	5	multivariate	multivariate	NOUN
ijassa-803	294	6	data	datum	NOUN
ijassa-803	294	7	set	set	VERB
ijassa-803	294	8	contains	contain	VERB
ijassa-803	294	9	the	the	DET
ijassa-803	294	10	three	three	NUM
ijassa-803	294	11	axis	axis	ADJ
ijassa-803	294	12	acceleration	acceleration	NOUN
ijassa-803	294	13	readings	reading	NOUN
ijassa-803	294	14	(	(	PUNCT
ijassa-803	294	15	cj_a	cj_a	NOUN
ijassa-803	294	16	)	)	PUNCT
ijassa-803	294	17	of	of	ADP
ijassa-803	294	18	vehicles	vehicle	NOUN
ijassa-803	294	19	.	.	PUNCT
ijassa-803	295	1	the	the	DET
ijassa-803	295	2	data	datum	NOUN
ijassa-803	295	3	set	set	VERB
ijassa-803	295	4	is	be	AUX
ijassa-803	295	5	collected	collect	VERB
ijassa-803	295	6	by	by	ADP
ijassa-803	295	7	the	the	DET
ijassa-803	295	8	motion	motion	NOUN
ijassa-803	295	9	of	of	ADP
ijassa-803	295	10	different	different	ADJ
ijassa-803	295	11	vehicles	vehicle	NOUN
ijassa-803	295	12	using	use	VERB
ijassa-803	295	13	the	the	DET
ijassa-803	295	14	mobile	mobile	ADJ
ijassa-803	295	15	phone	phone	NOUN
ijassa-803	295	16	of	of	ADP
ijassa-803	295	17	its	its	PRON
ijassa-803	295	18	drivers	driver	NOUN
ijassa-803	295	19	.	.	PUNCT
ijassa-803	296	1	the	the	DET
ijassa-803	296	2	collection	collection	NOUN
ijassa-803	296	3	contains	contain	VERB
ijassa-803	296	4	16060	16060	NUM
ijassa-803	296	5	data	datum	NOUN
ijassa-803	296	6	sampled	sample	VERB
ijassa-803	296	7	at	at	ADP
ijassa-803	296	8	0.0625	0.0625	NUM
ijassa-803	296	9	second	second	ADJ
ijassa-803	296	10	intervals	interval	NOUN
ijassa-803	296	11	.	.	PUNCT
ijassa-803	297	1	in	in	ADP
ijassa-803	297	2	addition	addition	NOUN
ijassa-803	297	3	to	to	ADP
ijassa-803	297	4	the	the	DET
ijassa-803	297	5	above	above	ADJ
ijassa-803	297	6	dataset	dataset	VERB
ijassa-803	297	7	the	the	DET
ijassa-803	297	8	third	third	ADJ
ijassa-803	297	9	multivariate	multivariate	NOUN
ijassa-803	297	10	data	datum	NOUN
ijassa-803	297	11	set	set	VERB
ijassa-803	297	12	is	be	AUX
ijassa-803	297	13	provided	provide	VERB
ijassa-803	297	14	by	by	ADP
ijassa-803	297	15	samuel	samuel	PROPN
ijassa-803	297	16	madden	madden	PROPN
ijassa-803	297	17	et	et	PROPN
ijassa-803	297	18	al	al	PROPN
ijassa-803	297	19	.	.	PUNCT
ijassa-803	298	1	(	(	PUNCT
ijassa-803	298	2	http://db.csail.mit.edu/labdata/labdata.html	http://db.csail.mit.edu/labdata/labdata.html	PROPN
ijassa-803	298	3	)	)	PUNCT
ijassa-803	298	4	.	.	PUNCT
ijassa-803	299	1	the	the	DET
ijassa-803	299	2	data	datum	NOUN
ijassa-803	299	3	set	set	NOUN
ijassa-803	299	4	contains	contain	VERB
ijassa-803	299	5	2.30	2.30	NUM
ijassa-803	299	6	million	million	NUM
ijassa-803	299	7	data	datum	NOUN
ijassa-803	299	8	and	and	CCONJ
ijassa-803	299	9	were	be	AUX
ijassa-803	299	10	collected	collect	VERB
ijassa-803	299	11	by	by	ADP
ijassa-803	299	12	54	54	NUM
ijassa-803	299	13	mica2dot	mica2dot	NOUN
ijassa-803	299	14	nodes	node	NOUN
ijassa-803	299	15	at	at	ADP
ijassa-803	299	16	the	the	DET
ijassa-803	299	17	same	same	ADJ
ijassa-803	299	18	time	time	NOUN
ijassa-803	299	19	.	.	PUNCT
ijassa-803	300	1	four	four	NUM
ijassa-803	300	2	attribute	attribute	NOUN
ijassa-803	300	3	data	datum	NOUN
ijassa-803	300	4	humidity	humidity	NOUN
ijassa-803	300	5	,	,	PUNCT
ijassa-803	300	6	temperature	temperature	NOUN
ijassa-803	300	7	,	,	PUNCT
ijassa-803	300	8	voltage	voltage	NOUN
ijassa-803	300	9	and	and	CCONJ
ijassa-803	300	10	light	light	ADJ
ijassa-803	300	11	intensity	intensity	NOUN
ijassa-803	300	12	were	be	AUX
ijassa-803	300	13	collected	collect	VERB
ijassa-803	300	14	from	from	ADP
ijassa-803	300	15	each	each	DET
ijassa-803	300	16	node	node	NOUN
ijassa-803	300	17	.	.	PUNCT
ijassa-803	301	1	each	each	DET
ijassa-803	301	2	real	real	ADJ
ijassa-803	301	3	74	74	NUM
ijassa-803	301	4	anitha	anitha	NOUN
ijassa-803	301	5	k.	k.	PROPN
ijassa-803	301	6	,	,	PUNCT
ijassa-803	301	7	jaison	jaison	PROPN
ijassa-803	301	8	b.	b.	PROPN
ijassa-803	301	9	,	,	PUNCT
ijassa-803	301	10	nalini	nalini	PROPN
ijassa-803	301	11	m.	m.	PROPN
ijassa-803	301	12	,	,	PUNCT
ijassa-803	301	13	shiny	shiny	PROPN
ijassa-803	301	14	irene	irene	PROPN
ijassa-803	301	15	d.	d.	PROPN
ijassa-803	301	16	copyright	copyright	PROPN
ijassa-803	302	1	©	©	PROPN
ijassa-803	302	2	2020	2020	NUM
ijassa-803	302	3	assa	assa	PROPN
ijassa-803	302	4	adv	adv	PROPN
ijassa-803	302	5	.	.	PUNCT
ijassa-803	303	1	in	in	ADP
ijassa-803	303	2	systems	system	NOUN
ijassa-803	303	3	science	science	NOUN
ijassa-803	303	4	and	and	CCONJ
ijassa-803	303	5	appl	appl	NOUN
ijassa-803	303	6	.	.	PUNCT
ijassa-803	304	1	(	(	PUNCT
ijassa-803	304	2	2020	2020	NUM
ijassa-803	304	3	)	)	PUNCT
ijassa-803	304	4	number	number	NOUN
ijassa-803	304	5	such	such	ADJ
ijassa-803	304	6	as	as	ADP
ijassa-803	304	7	sampling	sample	VERB
ijassa-803	304	8	data	datum	NOUN
ijassa-803	304	9	,	,	PUNCT
ijassa-803	304	10	wavelet	wavelet	NOUN
ijassa-803	304	11	coefficient	coefficient	NOUN
ijassa-803	304	12	,	,	PUNCT
ijassa-803	304	13	regression	regression	NOUN
ijassa-803	304	14	coefficient	coefficient	NOUN
ijassa-803	304	15	,	,	PUNCT
ijassa-803	304	16	which	which	PRON
ijassa-803	304	17	is	be	AUX
ijassa-803	304	18	stored	store	VERB
ijassa-803	304	19	in	in	ADP
ijassa-803	304	20	mica2nodes	mica2node	NOUN
ijassa-803	304	21	,	,	PUNCT
ijassa-803	304	22	needs	need	VERB
ijassa-803	304	23	2	2	NUM
ijassa-803	304	24	bytes	byte	NOUN
ijassa-803	304	25	for	for	ADP
ijassa-803	304	26	storage	storage	NOUN
ijassa-803	304	27	.	.	PUNCT
ijassa-803	305	1	2	2	NUM
ijassa-803	305	2	bytes	byte	NOUN
ijassa-803	305	3	are	be	AUX
ijassa-803	305	4	enough	enough	ADJ
ijassa-803	305	5	for	for	ADP
ijassa-803	305	6	storing	store	VERB
ijassa-803	305	7	an	an	DET
ijassa-803	305	8	integer	integer	NOUN
ijassa-803	305	9	such	such	ADJ
ijassa-803	305	10	as	as	ADP
ijassa-803	305	11	start	start	NOUN
ijassa-803	305	12	number	number	NOUN
ijassa-803	305	13	start	start	NOUN
ijassa-803	305	14	and	and	CCONJ
ijassa-803	305	15	the	the	DET
ijassa-803	305	16	count	count	NOUN
ijassa-803	305	17	number	number	NOUN
ijassa-803	305	18	length	length	NOUN
ijassa-803	305	19	of	of	ADP
ijassa-803	305	20	data	datum	NOUN
ijassa-803	305	21	..	..	PUNCT
ijassa-803	305	22	to	to	PART
ijassa-803	305	23	understand	understand	VERB
ijassa-803	305	24	the	the	DET
ijassa-803	305	25	effectiveness	effectiveness	NOUN
ijassa-803	305	26	of	of	ADP
ijassa-803	305	27	the	the	DET
ijassa-803	305	28	proposed	propose	VERB
ijassa-803	305	29	algorithm	algorithm	NOUN
ijassa-803	305	30	,	,	PUNCT
ijassa-803	305	31	the	the	DET
ijassa-803	305	32	results	result	NOUN
ijassa-803	305	33	achieved	achieve	VERB
ijassa-803	305	34	are	be	AUX
ijassa-803	305	35	compared	compare	VERB
ijassa-803	305	36	with	with	ADP
ijassa-803	305	37	the	the	DET
ijassa-803	305	38	below	below	NOUN
ijassa-803	305	39	mentioned	mention	VERB
ijassa-803	305	40	well	well	ADV
ijassa-803	305	41	-	-	PUNCT
ijassa-803	305	42	established	establish	VERB
ijassa-803	305	43	algorithms	algorithm	NOUN
ijassa-803	305	44	available	available	ADJ
ijassa-803	305	45	in	in	ADP
ijassa-803	305	46	literature	literature	NOUN
ijassa-803	305	47	:	:	PUNCT
ijassa-803	305	48	�	�	PROPN
ijassa-803	305	49	lightweight	lightweight	ADJ
ijassa-803	305	50	temporal	temporal	ADJ
ijassa-803	305	51	compression	compression	NOUN
ijassa-803	305	52	(	(	PUNCT
ijassa-803	305	53	ltc	ltc	NOUN
ijassa-803	305	54	)	)	PUNCT
ijassa-803	305	55	,	,	PUNCT
ijassa-803	305	56	is	be	AUX
ijassa-803	305	57	a	a	DET
ijassa-803	305	58	low	low	ADJ
ijassa-803	305	59	-	-	PUNCT
ijassa-803	305	60	complexity	complexity	NOUN
ijassa-803	305	61	piecewise	piecewise	NOUN
ijassa-803	305	62	linear	linear	NOUN
ijassa-803	305	63	approximations	approximation	NOUN
ijassa-803	305	64	lossy	lossy	ADJ
ijassa-803	305	65	compression	compression	NOUN
ijassa-803	305	66	algorithm	algorithm	NOUN
ijassa-803	305	67	.	.	PUNCT
ijassa-803	306	1	it	it	PRON
ijassa-803	306	2	fits	fit	VERB
ijassa-803	306	3	the	the	DET
ijassa-803	306	4	consecutive	consecutive	ADJ
ijassa-803	306	5	measurements	measurement	NOUN
ijassa-803	306	6	as	as	ADP
ijassa-803	306	7	a	a	DET
ijassa-803	306	8	straight	straight	ADJ
ijassa-803	306	9	line	line	NOUN
ijassa-803	306	10	within	within	ADP
ijassa-803	306	11	the	the	DET
ijassa-803	306	12	desired	desire	VERB
ijassa-803	306	13	error	error	NOUN
ijassa-803	306	14	margin	margin	NOUN
ijassa-803	306	15	.	.	PUNCT
ijassa-803	307	1	the	the	DET
ijassa-803	307	2	greater	great	ADJ
ijassa-803	307	3	compression	compression	NOUN
ijassa-803	307	4	ratio	ratio	NOUN
ijassa-803	307	5	is	be	AUX
ijassa-803	307	6	obtained	obtain	VERB
ijassa-803	307	7	,	,	PUNCT
ijassa-803	307	8	while	while	SCONJ
ijassa-803	307	9	the	the	DET
ijassa-803	307	10	larger	large	ADJ
ijassa-803	307	11	error	error	NOUN
ijassa-803	307	12	bound	bind	VERB
ijassa-803	307	13	is	be	AUX
ijassa-803	307	14	given	give	VERB
ijassa-803	307	15	.	.	PUNCT
ijassa-803	308	1	�	�	PROPN
ijassa-803	308	2	piecewise	piecewise	VERB
ijassa-803	308	3	linear	linear	PROPN
ijassa-803	308	4	approximation	approximation	NOUN
ijassa-803	308	5	with	with	ADP
ijassa-803	308	6	minimum	minimum	ADJ
ijassa-803	308	7	number	number	NOUN
ijassa-803	308	8	of	of	ADP
ijassa-803	308	9	line	line	NOUN
ijassa-803	308	10	segments	segment	NOUN
ijassa-803	308	11	(	(	PUNCT
ijassa-803	308	12	plamlis	plamlis	PROPN
ijassa-803	308	13	)	)	PUNCT
ijassa-803	308	14	,	,	PUNCT
ijassa-803	308	15	takes	take	VERB
ijassa-803	308	16	an	an	DET
ijassa-803	308	17	n	n	CCONJ
ijassa-803	308	18	-	-	PUNCT
ijassa-803	308	19	length	length	NOUN
ijassa-803	308	20	sequence	sequence	NOUN
ijassa-803	308	21	of	of	ADP
ijassa-803	308	22	measurements	measurement	NOUN
ijassa-803	308	23	and	and	CCONJ
ijassa-803	308	24	finds	find	VERB
ijassa-803	308	25	the	the	DET
ijassa-803	308	26	minimum	minimum	ADJ
ijassa-803	308	27	number	number	NOUN
ijassa-803	308	28	of	of	ADP
ijassa-803	308	29	line	line	NOUN
ijassa-803	308	30	segments	segment	NOUN
ijassa-803	308	31	required	require	VERB
ijassa-803	308	32	to	to	PART
ijassa-803	308	33	represent	represent	VERB
ijassa-803	308	34	the	the	DET
ijassa-803	308	35	sequence	sequence	NOUN
ijassa-803	308	36	within	within	ADP
ijassa-803	308	37	an	an	DET
ijassa-803	308	38	error	error	NOUN
ijassa-803	308	39	bound	bind	VERB
ijassa-803	308	40	.	.	PUNCT
ijassa-803	309	1	�	�	PROPN
ijassa-803	309	2	lasso	lasso	PROPN
ijassa-803	309	3	:	:	PUNCT
ijassa-803	309	4	compression	compression	NOUN
ijassa-803	309	5	of	of	ADP
ijassa-803	309	6	signal	signal	NOUN
ijassa-803	309	7	y	y	PROPN
ijassa-803	309	8	is	be	AUX
ijassa-803	309	9	achieved	achieve	VERB
ijassa-803	309	10	by	by	ADP
ijassa-803	309	11	removing	remove	VERB
ijassa-803	309	12	the	the	DET
ijassa-803	309	13	small	small	ADJ
ijassa-803	309	14	differences	difference	NOUN
ijassa-803	309	15	between	between	ADP
ijassa-803	309	16	the	the	DET
ijassa-803	309	17	data	data	NOUN
ijassa-803	309	18	points	point	NOUN
ijassa-803	309	19	in	in	ADP
ijassa-803	309	20	the	the	DET
ijassa-803	309	21	signal	signal	NOUN
ijassa-803	309	22	.	.	PUNCT
ijassa-803	310	1	the	the	DET
ijassa-803	310	2	signal	signal	NOUN
ijassa-803	310	3	x	x	PUNCT
ijassa-803	310	4	a	a	DET
ijassa-803	310	5	smoother	smooth	ADJ
ijassa-803	310	6	approximation	approximation	NOUN
ijassa-803	310	7	of	of	ADP
ijassa-803	310	8	signal	signal	PROPN
ijassa-803	310	9	y	y	PROPN
ijassa-803	310	10	is	be	AUX
ijassa-803	310	11	computed	compute	VERB
ijassa-803	310	12	by	by	ADP
ijassa-803	310	13	minimizing	minimize	VERB
ijassa-803	310	14	the	the	DET
ijassa-803	310	15	differences	difference	NOUN
ijassa-803	310	16	between	between	ADP
ijassa-803	310	17	data	datum	NOUN
ijassa-803	310	18	at	at	ADP
ijassa-803	310	19	adjacent	adjacent	ADJ
ijassa-803	310	20	time	time	NOUN
ijassa-803	310	21	intervals	interval	NOUN
ijassa-803	310	22	4.2	4.2	NUM
ijassa-803	310	23	.	.	PUNCT
ijassa-803	311	1	performance	performance	NOUN
ijassa-803	311	2	evaluation	evaluation	NOUN
ijassa-803	311	3	4.2.1	4.2.1	NOUN
ijassa-803	311	4	.	.	PUNCT
ijassa-803	312	1	correlation	correlation	NOUN
ijassa-803	312	2	length	length	NOUN
ijassa-803	312	3	for	for	ADP
ijassa-803	312	4	a	a	DET
ijassa-803	312	5	discrete	discrete	ADJ
ijassa-803	312	6	time	time	NOUN
ijassa-803	312	7	series	series	PROPN
ijassa-803	312	8	�	�	PROPN
ijassa-803	312	9	�	�	PROPN
ijassa-803	312	10	x	x	PROPN
ijassa-803	312	11	n	n	NOUN
ijassa-803	312	12	with	with	ADP
ijassa-803	312	13	n	n	NOUN
ijassa-803	312	14	=	=	SYM
ijassa-803	312	15	1	1	NUM
ijassa-803	312	16	,	,	PUNCT
ijassa-803	312	17	2	2	NUM
ijassa-803	312	18	.	.	PUNCT
ijassa-803	312	19	.	.	PUNCT
ijassa-803	313	1	.	.	PUNCT
ijassa-803	314	1	,	,	PUNCT
ijassa-803	314	2	n	n	CCONJ
ijassa-803	314	3	,	,	PUNCT
ijassa-803	314	4	xp	xp	X
ijassa-803	314	5	is	be	AUX
ijassa-803	314	6	the	the	DET
ijassa-803	314	7	mean	mean	NOUN
ijassa-803	314	8	and	and	CCONJ
ijassa-803	314	9	2	2	NUM
ijassa-803	314	10	xv	xv	NOUN
ijassa-803	314	11	is	be	AUX
ijassa-803	314	12	the	the	DET
ijassa-803	314	13	variance	variance	NOUN
ijassa-803	314	14	the	the	DET
ijassa-803	314	15	correlation	correlation	NOUN
ijassa-803	314	16	length	length	NOUN
ijassa-803	314	17	of	of	ADP
ijassa-803	314	18	�	�	PROPN
ijassa-803	314	19	�	�	PROPN
ijassa-803	314	20	x	x	VERB
ijassa-803	314	21	n	n	PRON
ijassa-803	314	22	can	can	AUX
ijassa-803	314	23	be	be	AUX
ijassa-803	314	24	defined	define	VERB
ijassa-803	314	25	as	as	ADP
ijassa-803	314	26	the	the	DET
ijassa-803	314	27	smallest	small	ADJ
ijassa-803	314	28	value	value	NOUN
ijassa-803	314	29	*	*	PUNCT
ijassa-803	314	30	n	n	PRON
ijassa-803	314	31	subjected	subject	VERB
ijassa-803	314	32	to	to	ADP
ijassa-803	314	33	the	the	DET
ijassa-803	314	34	autocorrelation	autocorrelation	NOUN
ijassa-803	314	35	function	function	NOUN
ijassa-803	314	36	of	of	ADP
ijassa-803	314	37	signal	signal	NOUN
ijassa-803	314	38	is	be	AUX
ijassa-803	314	39	lesser	less	ADJ
ijassa-803	314	40	than	than	ADP
ijassa-803	314	41	a	a	DET
ijassa-803	314	42	threshold	threshold	NOUN
ijassa-803	314	43	w	w	NOUN
ijassa-803	314	44	(	(	PUNCT
ijassa-803	314	45	predefined	predefine	VERB
ijassa-803	314	46	)	)	PUNCT
ijassa-803	314	47	.	.	PUNCT
ijassa-803	315	1	the	the	DET
ijassa-803	315	2	autocorrelation	autocorrelation	NOUN
ijassa-803	315	3	function	function	NOUN
ijassa-803	315	4	is	be	AUX
ijassa-803	315	5	given	give	VERB
ijassa-803	315	6	by	by	ADP
ijassa-803	315	7	:	:	PUNCT
ijassa-803	315	8	2	2	NUM
ijassa-803	315	9	[	[	X
ijassa-803	315	10	(	(	PUNCT
ijassa-803	315	11	(	(	PUNCT
ijassa-803	315	12	)	)	PUNCT
ijassa-803	315	13	)	)	PUNCT
ijassa-803	315	14	(	(	PUNCT
ijassa-803	315	15	(	(	PUNCT
ijassa-803	315	16	)	)	PUNCT
ijassa-803	315	17	)	)	PUNCT
ijassa-803	315	18	(	(	PUNCT
ijassa-803	315	19	)	)	PUNCT
ijassa-803	315	20	x	x	PUNCT
ijassa-803	316	1	x	x	PUNCT
ijassa-803	316	2	x	x	PUNCT
ijassa-803	316	3	x	x	PUNCT
ijassa-803	316	4	e	e	NOUN
ijassa-803	316	5	x	x	X
ijassa-803	316	6	m	m	VERB
ijassa-803	316	7	x	x	X
ijassa-803	316	8	m	m	VERB
ijassa-803	316	9	nn	nn	PROPN
ijassa-803	316	10	p	p	PROPN
ijassa-803	316	11	pu	pu	PROPN
ijassa-803	316	12	v	v	PROPN
ijassa-803	316	13	�	�	PROPN
ijassa-803	316	14	�	�	PROPN
ijassa-803	316	15	�	�	PROPN
ijassa-803	316	16	(	(	PUNCT
ijassa-803	316	17	16	16	NUM
ijassa-803	316	18	)	)	PUNCT
ijassa-803	316	19	and	and	CCONJ
ijassa-803	316	20	*	*	PUNCT
ijassa-803	316	21	0	0	NUM
ijassa-803	316	22	arg	arg	NOUN
ijassa-803	316	23	min	min	PROPN
ijassa-803	316	24	{	{	PUNCT
ijassa-803	316	25	(	(	PUNCT
ijassa-803	316	26	)	)	PUNCT
ijassa-803	316	27	}	}	PUNCT
ijassa-803	316	28	x	x	X
ijassa-803	316	29	n	n	CCONJ
ijassa-803	316	30	n	n	CCONJ
ijassa-803	316	31	nu	nu	INTJ
ijassa-803	316	32	g	g	PROPN
ijassa-803	316	33	!	!	PUNCT
ijassa-803	317	1	�	�	PROPN
ijassa-803	317	2	(	(	PUNCT
ijassa-803	317	3	17	17	NUM
ijassa-803	317	4	)	)	PUNCT
ijassa-803	317	5	4.2.1	4.2.1	NUM
ijassa-803	317	6	.	.	PUNCT
ijassa-803	318	1	compression	compression	NOUN
ijassa-803	318	2	ratio	ratio	NOUN
ijassa-803	318	3	(	(	PUNCT
ijassa-803	318	4	k	k	PROPN
ijassa-803	318	5	)	)	PUNCT
ijassa-803	319	1	if	if	SCONJ
ijassa-803	319	2	the	the	DET
ijassa-803	319	3	time	time	NOUN
ijassa-803	319	4	series	series	PROPN
ijassa-803	319	5	�	�	PROPN
ijassa-803	319	6	�	�	PROPN
ijassa-803	319	7	x	x	PROPN
ijassa-803	319	8	n	n	NOUN
ijassa-803	319	9	with	with	ADP
ijassa-803	319	10	n	n	NOUN
ijassa-803	319	11	=	=	SYM
ijassa-803	319	12	1	1	NUM
ijassa-803	319	13	,	,	PUNCT
ijassa-803	319	14	2	2	NUM
ijassa-803	319	15	.	.	PUNCT
ijassa-803	319	16	.	.	PUNCT
ijassa-803	319	17	.	.	PUNCT
ijassa-803	319	18	,	,	PUNCT
ijassa-803	320	1	n	n	CCONJ
ijassa-803	320	2	,	,	PUNCT
ijassa-803	320	3	needs	need	NOUN
ijassa-803	320	4	(	(	PUNCT
ijassa-803	320	5	)	)	PUNCT
ijassa-803	320	6	bn	bn	NOUN
ijassa-803	320	7	x	x	PUNCT
ijassa-803	320	8	bits	bit	NOUN
ijassa-803	320	9	to	to	PART
ijassa-803	320	10	store	store	VERB
ijassa-803	320	11	and	and	CCONJ
ijassa-803	320	12	its	its	PRON
ijassa-803	320	13	compressed	compress	VERB
ijassa-803	320	14	version	version	NOUN
ijassa-803	320	15	�	�	PROPN
ijassa-803	320	16	�	�	PROPN
ijassa-803	320	17	x̂	x̂	PROPN
ijassa-803	320	18	n	n	PRON
ijassa-803	320	19	needs	need	VERB
ijassa-803	320	20	ˆ	ˆ	NOUN
ijassa-803	320	21	(	(	PUNCT
ijassa-803	320	22	)	)	PUNCT
ijassa-803	320	23	bn	bn	NOUN
ijassa-803	320	24	x	x	PUNCT
ijassa-803	320	25	bits	bit	NOUN
ijassa-803	320	26	to	to	PART
ijassa-803	320	27	store	store	VERB
ijassa-803	320	28	then	then	ADV
ijassa-803	320	29	k	k	PROPN
ijassa-803	320	30	is	be	AUX
ijassa-803	320	31	estimated	estimate	VERB
ijassa-803	320	32	using	use	VERB
ijassa-803	320	33	:	:	PUNCT
ijassa-803	320	34	ˆ	ˆ	PRON
ijassa-803	320	35	(	(	PUNCT
ijassa-803	320	36	)	)	PUNCT
ijassa-803	320	37	(	(	PUNCT
ijassa-803	320	38	)	)	PUNCT
ijassa-803	320	39	b	b	PROPN
ijassa-803	320	40	b	b	PROPN
ijassa-803	320	41	n	n	PROPN
ijassa-803	320	42	x	x	SYM
ijassa-803	320	43	n	n	PROPN
ijassa-803	320	44	x	x	SYM
ijassa-803	320	45	k	k	X
ijassa-803	320	46	(	(	PUNCT
ijassa-803	320	47	18	18	NUM
ijassa-803	320	48	)	)	PUNCT
ijassa-803	320	49	4.2.2	4.2.2	X
ijassa-803	320	50	.	.	PUNCT
ijassa-803	321	1	total	total	ADJ
ijassa-803	321	2	energy	energy	NOUN
ijassa-803	321	3	consumption	consumption	NOUN
ijassa-803	321	4	a	a	DET
ijassa-803	321	5	novel	novel	ADJ
ijassa-803	321	6	enriched	enrich	VERB
ijassa-803	321	7	lasso	lasso	NOUN
ijassa-803	321	8	based	base	VERB
ijassa-803	321	9	compression	compression	NOUN
ijassa-803	321	10	technique	technique	NOUN
ijassa-803	321	11	for	for	SCONJ
ijassa-803	321	12	energy	energy	NOUN
ijassa-803	321	13	efficient	efficient	ADJ
ijassa-803	321	14	wireless	wireless	ADJ
ijassa-803	321	15	sensor	sensor	NOUN
ijassa-803	321	16	networks	network	VERB
ijassa-803	321	17	75	75	NUM
ijassa-803	321	18	copyright	copyright	NOUN
ijassa-803	321	19	©	©	PROPN
ijassa-803	321	20	2020	2020	NUM
ijassa-803	321	21	assa	assa	PROPN
ijassa-803	321	22	adv	adv	PROPN
ijassa-803	321	23	.	.	PUNCT
ijassa-803	322	1	in	in	ADP
ijassa-803	322	2	systems	system	NOUN
ijassa-803	322	3	science	science	NOUN
ijassa-803	322	4	and	and	CCONJ
ijassa-803	322	5	appl	appl	NOUN
ijassa-803	322	6	.	.	PUNCT
ijassa-803	323	1	(	(	PUNCT
ijassa-803	323	2	2020	2020	NUM
ijassa-803	323	3	)	)	PUNCT
ijassa-803	323	4	the	the	DET
ijassa-803	323	5	total	total	ADJ
ijassa-803	323	6	energy	energy	NOUN
ijassa-803	323	7	consumed	consume	VERB
ijassa-803	323	8	is	be	AUX
ijassa-803	323	9	the	the	DET
ijassa-803	323	10	sum	sum	NOUN
ijassa-803	323	11	of	of	ADP
ijassa-803	323	12	energy	energy	NOUN
ijassa-803	323	13	needed	need	VERB
ijassa-803	323	14	to	to	PART
ijassa-803	323	15	compress	compress	VERB
ijassa-803	323	16	the	the	DET
ijassa-803	323	17	signal	signal	NOUN
ijassa-803	323	18	and	and	CCONJ
ijassa-803	323	19	to	to	PART
ijassa-803	323	20	transmit	transmit	VERB
ijassa-803	323	21	the	the	DET
ijassa-803	323	22	compressed	compress	VERB
ijassa-803	323	23	signal	signal	NOUN
ijassa-803	323	24	expressed	express	VERB
ijassa-803	323	25	in	in	ADP
ijassa-803	323	26	joule	joule	NOUN
ijassa-803	323	27	.	.	PUNCT
ijassa-803	324	1	the	the	DET
ijassa-803	324	2	number	number	NOUN
ijassa-803	324	3	of	of	ADP
ijassa-803	324	4	operations	operation	NOUN
ijassa-803	324	5	(	(	PUNCT
ijassa-803	324	6	addition	addition	NOUN
ijassa-803	324	7	,	,	PUNCT
ijassa-803	324	8	subtractions	subtraction	NOUN
ijassa-803	324	9	,	,	PUNCT
ijassa-803	324	10	divisions	division	NOUN
ijassa-803	324	11	,	,	PUNCT
ijassa-803	324	12	multiplications	multiplication	NOUN
ijassa-803	324	13	and	and	CCONJ
ijassa-803	324	14	comparisons	comparison	NOUN
ijassa-803	324	15	)	)	PUNCT
ijassa-803	324	16	required	require	VERB
ijassa-803	324	17	for	for	ADP
ijassa-803	324	18	compression	compression	NOUN
ijassa-803	324	19	is	be	AUX
ijassa-803	324	20	estimated	estimate	VERB
ijassa-803	324	21	and	and	CCONJ
ijassa-803	324	22	mapped	map	VERB
ijassa-803	324	23	into	into	ADP
ijassa-803	324	24	number	number	NOUN
ijassa-803	324	25	of	of	ADP
ijassa-803	324	26	clock	clock	NOUN
ijassa-803	324	27	cycles	cycle	NOUN
ijassa-803	324	28	and	and	CCONJ
ijassa-803	324	29	then	then	ADV
ijassa-803	324	30	to	to	ADP
ijassa-803	324	31	energy	energy	NOUN
ijassa-803	324	32	consumption	consumption	NOUN
ijassa-803	324	33	.	.	PUNCT
ijassa-803	325	1	energy	energy	NOUN
ijassa-803	325	2	required	require	VERB
ijassa-803	325	3	for	for	ADP
ijassa-803	325	4	transmission	transmission	NOUN
ijassa-803	325	5	and	and	CCONJ
ijassa-803	325	6	receiving	receive	VERB
ijassa-803	325	7	the	the	DET
ijassa-803	325	8	data	datum	NOUN
ijassa-803	325	9	depends	depend	VERB
ijassa-803	325	10	on	on	ADP
ijassa-803	325	11	the	the	DET
ijassa-803	325	12	energy	energy	NOUN
ijassa-803	325	13	consumed	consume	VERB
ijassa-803	325	14	by	by	ADP
ijassa-803	325	15	equipment	equipment	NOUN
ijassa-803	325	16	to	to	PART
ijassa-803	325	17	transmit	transmit	VERB
ijassa-803	325	18	a	a	DET
ijassa-803	325	19	bit	bit	NOUN
ijassa-803	325	20	of	of	ADP
ijassa-803	325	21	data	datum	NOUN
ijassa-803	325	22	and	and	CCONJ
ijassa-803	325	23	number	number	NOUN
ijassa-803	325	24	of	of	ADP
ijassa-803	325	25	bits	bit	NOUN
ijassa-803	325	26	.	.	PUNCT
ijassa-803	326	1	4.2.3	4.2.3	X
ijassa-803	326	2	.	.	PUNCT
ijassa-803	327	1	total	total	ADJ
ijassa-803	327	2	error	error	NOUN
ijassa-803	327	3	if	if	SCONJ
ijassa-803	327	4	the	the	DET
ijassa-803	327	5	compressed	compress	VERB
ijassa-803	327	6	signal	signal	NOUN
ijassa-803	327	7	�	�	PROPN
ijassa-803	327	8	�	�	PROPN
ijassa-803	327	9	x̂	x̂	PROPN
ijassa-803	327	10	n	n	PRON
ijassa-803	327	11	is	be	AUX
ijassa-803	327	12	reconstructed	reconstruct	VERB
ijassa-803	327	13	to	to	ADP
ijassa-803	327	14	its	its	PRON
ijassa-803	327	15	original	original	ADJ
ijassa-803	327	16	form	form	NOUN
ijassa-803	327	17	and	and	CCONJ
ijassa-803	327	18	is	be	AUX
ijassa-803	327	19	given	give	VERB
ijassa-803	327	20	by	by	ADP
ijassa-803	327	21	�	�	PROPN
ijassa-803	327	22	�	�	PROPN
ijassa-803	327	23	y	y	PROPN
ijassa-803	327	24	n	n	PROPN
ijassa-803	327	25	.	.	PUNCT
ijassa-803	328	1	the	the	DET
ijassa-803	328	2	error	error	NOUN
ijassa-803	328	3	is	be	AUX
ijassa-803	328	4	the	the	DET
ijassa-803	328	5	difference	difference	NOUN
ijassa-803	328	6	between	between	ADP
ijassa-803	328	7	the	the	DET
ijassa-803	328	8	reconstructed	reconstructed	ADJ
ijassa-803	328	9	and	and	CCONJ
ijassa-803	328	10	original	original	ADJ
ijassa-803	328	11	signal	signal	NOUN
ijassa-803	328	12	.	.	PUNCT
ijassa-803	329	1	the	the	DET
ijassa-803	329	2	total	total	ADJ
ijassa-803	329	3	error	error	NOUN
ijassa-803	329	4	is	be	AUX
ijassa-803	329	5	calculated	calculate	VERB
ijassa-803	329	6	using	use	VERB
ijassa-803	329	7	:	:	PUNCT
ijassa-803	329	8	�	�	PROPN
ijassa-803	329	9	�	�	PROPN
ijassa-803	329	10	2	2	NUM
ijassa-803	329	11	0	0	NUM
ijassa-803	329	12	ˆ	ˆ	NOUN
ijassa-803	329	13	(	(	PUNCT
ijassa-803	329	14	)	)	PUNCT
ijassa-803	329	15	(	(	PUNCT
ijassa-803	329	16	)	)	PUNCT
ijassa-803	329	17	n	n	CCONJ
ijassa-803	329	18	i	i	PRON
ijassa-803	329	19	error	error	NOUN
ijassa-803	329	20	x	x	VERB
ijassa-803	330	1	i	i	NOUN
ijassa-803	330	2	x	x	VERB
ijassa-803	331	1	i	i	NOUN
ijassa-803	331	2	�	�	X
ijassa-803	331	3	¦	¦	PROPN
ijassa-803	331	4	(	(	PUNCT
ijassa-803	331	5	19	19	NUM
ijassa-803	331	6	)	)	PUNCT
ijassa-803	331	7	4.4	4.4	NUM
ijassa-803	331	8	.	.	PUNCT
ijassa-803	332	1	experimental	experimental	ADJ
ijassa-803	332	2	results	result	NOUN
ijassa-803	332	3	to	to	PART
ijassa-803	332	4	evaluate	evaluate	VERB
ijassa-803	332	5	the	the	DET
ijassa-803	332	6	proposed	propose	VERB
ijassa-803	332	7	algorithm	algorithm	NOUN
ijassa-803	332	8	,	,	PUNCT
ijassa-803	332	9	the	the	DET
ijassa-803	332	10	synthetic	synthetic	ADJ
ijassa-803	332	11	signals	signal	NOUN
ijassa-803	332	12	of	of	ADP
ijassa-803	332	13	correlation	correlation	NOUN
ijassa-803	332	14	length	length	NOUN
ijassa-803	332	15	*	*	NOUN
ijassa-803	332	16	n	n	NOUN
ijassa-803	332	17	with	with	ADP
ijassa-803	332	18	lengths	length	NOUN
ijassa-803	332	19	{	{	PUNCT
ijassa-803	332	20	1	1	NUM
ijassa-803	332	21	,	,	PUNCT
ijassa-803	332	22	10	10	NUM
ijassa-803	332	23	,	,	PUNCT
ijassa-803	332	24	20	20	NUM
ijassa-803	332	25	,	,	PUNCT
ijassa-803	332	26	50	50	NUM
ijassa-803	332	27	.	.	PUNCT
ijassa-803	332	28	.	.	PUNCT
ijassa-803	332	29	.	.	PUNCT
ijassa-803	333	1	500	500	NUM
ijassa-803	333	2	}	}	PUNCT
ijassa-803	333	3	time	time	NOUN
ijassa-803	333	4	slots	slot	NOUN
ijassa-803	333	5	are	be	AUX
ijassa-803	333	6	used	use	VERB
ijassa-803	333	7	to	to	PART
ijassa-803	333	8	test	test	VERB
ijassa-803	333	9	the	the	DET
ijassa-803	333	10	system	system	NOUN
ijassa-803	333	11	.	.	PUNCT
ijassa-803	334	1	w	w	X
ijassa-803	334	2	=	=	NOUN
ijassa-803	334	3	0.05	0.05	NUM
ijassa-803	334	4	have	have	AUX
ijassa-803	334	5	been	be	AUX
ijassa-803	334	6	adopted	adopt	VERB
ijassa-803	334	7	for	for	ADP
ijassa-803	334	8	the	the	DET
ijassa-803	334	9	results	result	NOUN
ijassa-803	334	10	presented	present	VERB
ijassa-803	334	11	in	in	ADP
ijassa-803	334	12	this	this	DET
ijassa-803	334	13	paper	paper	NOUN
ijassa-803	334	14	.	.	PUNCT
ijassa-803	335	1	additionally	additionally	ADV
ijassa-803	335	2	,	,	PUNCT
ijassa-803	335	3	a	a	DET
ijassa-803	335	4	gaussian	gaussian	ADJ
ijassa-803	335	5	noise	noise	NOUN
ijassa-803	335	6	with	with	ADP
ijassa-803	335	7	standard	standard	ADJ
ijassa-803	335	8	deviation	deviation	NOUN
ijassa-803	335	9	noisev	noisev	NOUN
ijassa-803	335	10	=	=	NOUN
ijassa-803	335	11	0.04	0.04	NUM
ijassa-803	335	12	has	have	AUX
ijassa-803	335	13	been	be	AUX
ijassa-803	335	14	included	include	VERB
ijassa-803	335	15	in	in	ADP
ijassa-803	335	16	the	the	DET
ijassa-803	335	17	signal	signal	NOUN
ijassa-803	335	18	.	.	PUNCT
ijassa-803	336	1	acceptable	acceptable	ADJ
ijassa-803	336	2	tolerance	tolerance	NOUN
ijassa-803	336	3	in	in	ADP
ijassa-803	336	4	error	error	NOUN
ijassa-803	336	5	between	between	ADP
ijassa-803	336	6	actual	actual	ADJ
ijassa-803	336	7	signal	signal	NOUN
ijassa-803	336	8	and	and	CCONJ
ijassa-803	336	9	reconstructed	reconstructed	ADJ
ijassa-803	336	10	signal	signal	NOUN
ijassa-803	336	11	has	have	AUX
ijassa-803	336	12	been	be	AUX
ijassa-803	336	13	set	set	VERB
ijassa-803	336	14	to	to	ADP
ijassa-803	336	15	noiseh	noiseh	NOUN
ijassa-803	337	1	[	[	X
ijassa-803	337	2	v	v	ADP
ijassa-803	337	3	where	where	SCONJ
ijassa-803	337	4	0	0	NUM
ijassa-803	337	5	[	[	X
ijassa-803	337	6	t	t	NOUN
ijassa-803	337	7	.	.	PUNCT
ijassa-803	338	1	the	the	DET
ijassa-803	338	2	same	same	ADJ
ijassa-803	338	3	signal	signal	NOUN
ijassa-803	338	4	(	(	PUNCT
ijassa-803	338	5	)	)	PUNCT
ijassa-803	338	6	x	x	X
ijassa-803	338	7	n	n	PRON
ijassa-803	338	8	has	have	AUX
ijassa-803	338	9	been	be	AUX
ijassa-803	338	10	used	use	VERB
ijassa-803	338	11	for	for	ADP
ijassa-803	338	12	all	all	DET
ijassa-803	338	13	the	the	DET
ijassa-803	338	14	compression	compression	NOUN
ijassa-803	338	15	methods	method	NOUN
ijassa-803	338	16	for	for	ADP
ijassa-803	338	17	each	each	DET
ijassa-803	338	18	simulation	simulation	NOUN
ijassa-803	338	19	run	run	NOUN
ijassa-803	338	20	and	and	CCONJ
ijassa-803	338	21	value	value	NOUN
ijassa-803	338	22	of	of	ADP
ijassa-803	338	23	*	*	NOUN
ijassa-803	338	24	n	n	NOUN
ijassa-803	338	25	.	.	PUNCT
ijassa-803	339	1	the	the	DET
ijassa-803	339	2	plot	plot	NOUN
ijassa-803	339	3	in	in	ADP
ijassa-803	339	4	fig	fig	NOUN
ijassa-803	339	5	.	.	PUNCT
ijassa-803	339	6	1	1	NUM
ijassa-803	339	7	between	between	ADP
ijassa-803	339	8	provides	provide	VERB
ijassa-803	339	9	the	the	DET
ijassa-803	339	10	compression	compression	NOUN
ijassa-803	339	11	ratio	ratio	NOUN
ijassa-803	339	12	achieved	achieve	VERB
ijassa-803	339	13	for	for	ADP
ijassa-803	339	14	different	different	ADJ
ijassa-803	339	15	correlation	correlation	NOUN
ijassa-803	339	16	lengths	length	NOUN
ijassa-803	339	17	*	*	PUNCT
ijassa-803	339	18	n	n	PROPN
ijassa-803	339	19	for	for	ADP
ijassa-803	339	20	four	four	NUM
ijassa-803	339	21	compression	compression	NOUN
ijassa-803	339	22	methods	method	NOUN
ijassa-803	339	23	.	.	PUNCT
ijassa-803	340	1	form	form	VERB
ijassa-803	340	2	these	these	DET
ijassa-803	340	3	results	result	NOUN
ijassa-803	340	4	,	,	PUNCT
ijassa-803	340	5	it	it	PRON
ijassa-803	340	6	can	can	AUX
ijassa-803	340	7	be	be	AUX
ijassa-803	340	8	found	find	VERB
ijassa-803	340	9	that	that	DET
ijassa-803	340	10	compression	compression	NOUN
ijassa-803	340	11	performance	performance	NOUN
ijassa-803	340	12	of	of	ADP
ijassa-803	340	13	all	all	DET
ijassa-803	340	14	the	the	DET
ijassa-803	340	15	four	four	NUM
ijassa-803	340	16	methods	method	NOUN
ijassa-803	340	17	are	be	AUX
ijassa-803	340	18	poor	poor	ADJ
ijassa-803	340	19	for	for	ADP
ijassa-803	340	20	small	small	ADJ
ijassa-803	340	21	values	value	NOUN
ijassa-803	340	22	of	of	ADP
ijassa-803	340	23	*	*	PUNCT
ijassa-803	340	24	n	n	NUM
ijassa-803	340	25	and	and	CCONJ
ijassa-803	340	26	improves	improve	VERB
ijassa-803	340	27	with	with	ADP
ijassa-803	340	28	the	the	DET
ijassa-803	340	29	increased	increase	VERB
ijassa-803	340	30	correlation	correlation	NOUN
ijassa-803	340	31	length	length	NOUN
ijassa-803	340	32	.	.	PUNCT
ijassa-803	341	1	this	this	PRON
ijassa-803	341	2	ensures	ensure	VERB
ijassa-803	341	3	that	that	SCONJ
ijassa-803	341	4	the	the	DET
ijassa-803	341	5	correlation	correlation	NOUN
ijassa-803	341	6	length	length	NOUN
ijassa-803	341	7	*	*	PUNCT
ijassa-803	341	8	n	n	X
ijassa-803	341	9	is	be	AUX
ijassa-803	341	10	a	a	DET
ijassa-803	341	11	key	key	ADJ
ijassa-803	341	12	factor	factor	NOUN
ijassa-803	341	13	that	that	PRON
ijassa-803	341	14	decides	decide	VERB
ijassa-803	341	15	the	the	DET
ijassa-803	341	16	performances	performance	NOUN
ijassa-803	341	17	of	of	ADP
ijassa-803	341	18	the	the	DET
ijassa-803	341	19	algorithm	algorithm	NOUN
ijassa-803	341	20	.	.	PUNCT
ijassa-803	342	1	the	the	DET
ijassa-803	342	2	energy	energy	NOUN
ijassa-803	342	3	required	require	VERB
ijassa-803	342	4	for	for	ADP
ijassa-803	342	5	compression	compression	NOUN
ijassa-803	342	6	is	be	AUX
ijassa-803	342	7	presented	present	VERB
ijassa-803	342	8	in	in	ADP
ijassa-803	342	9	fig	fig	NOUN
ijassa-803	342	10	.	.	PUNCT
ijassa-803	343	1	2	2	X
ijassa-803	343	2	.	.	X
ijassa-803	343	3	we	we	PRON
ijassa-803	343	4	can	can	AUX
ijassa-803	343	5	achieve	achieve	VERB
ijassa-803	343	6	better	well	ADJ
ijassa-803	343	7	compression	compression	NOUN
ijassa-803	343	8	values	value	NOUN
ijassa-803	343	9	for	for	ADP
ijassa-803	343	10	higher	high	ADJ
ijassa-803	343	11	values	value	NOUN
ijassa-803	343	12	of	of	ADP
ijassa-803	343	13	*	*	NOUN
ijassa-803	343	14	n	n	X
ijassa-803	343	15	.	.	PUNCT
ijassa-803	344	1	the	the	DET
ijassa-803	344	2	same	same	ADJ
ijassa-803	344	3	is	be	AUX
ijassa-803	344	4	not	not	PART
ijassa-803	344	5	true	true	ADJ
ijassa-803	344	6	in	in	ADP
ijassa-803	344	7	the	the	DET
ijassa-803	344	8	case	case	NOUN
ijassa-803	344	9	of	of	ADP
ijassa-803	344	10	energy	energy	NOUN
ijassa-803	344	11	consumption	consumption	NOUN
ijassa-803	344	12	among	among	ADP
ijassa-803	344	13	all	all	DET
ijassa-803	344	14	scheme	scheme	NOUN
ijassa-803	344	15	.	.	PUNCT
ijassa-803	345	1	fig	fig	NOUN
ijassa-803	345	2	.	.	PUNCT
ijassa-803	346	1	1	1	X
ijassa-803	346	2	.	.	X
ijassa-803	346	3	illustration	illustration	NOUN
ijassa-803	346	4	of	of	ADP
ijassa-803	346	5	changes	change	NOUN
ijassa-803	346	6	in	in	ADP
ijassa-803	346	7	compression	compression	NOUN
ijassa-803	346	8	ratio	ratio	NOUN
ijassa-803	346	9	for	for	ADP
ijassa-803	346	10	various	various	ADJ
ijassa-803	346	11	correlation	correlation	NOUN
ijassa-803	346	12	length	length	NOUN
ijassa-803	346	13	for	for	ADP
ijassa-803	346	14	univariate	univariate	ADJ
ijassa-803	346	15	data	datum	NOUN
ijassa-803	346	16	.	.	PUNCT
ijassa-803	347	1	76	76	NUM
ijassa-803	347	2	anitha	anitha	PROPN
ijassa-803	347	3	k.	k.	PROPN
ijassa-803	347	4	,	,	PUNCT
ijassa-803	347	5	jaison	jaison	PROPN
ijassa-803	347	6	b.	b.	PROPN
ijassa-803	347	7	,	,	PUNCT
ijassa-803	347	8	nalini	nalini	PROPN
ijassa-803	347	9	m.	m.	PROPN
ijassa-803	347	10	,	,	PUNCT
ijassa-803	347	11	shiny	shiny	PROPN
ijassa-803	347	12	irene	irene	PROPN
ijassa-803	347	13	d.	d.	PROPN
ijassa-803	347	14	copyright	copyright	PROPN
ijassa-803	348	1	©	©	PROPN
ijassa-803	348	2	2020	2020	NUM
ijassa-803	348	3	assa	assa	PROPN
ijassa-803	348	4	adv	adv	PROPN
ijassa-803	348	5	.	.	PUNCT
ijassa-803	349	1	in	in	ADP
ijassa-803	349	2	systems	system	NOUN
ijassa-803	349	3	science	science	NOUN
ijassa-803	349	4	and	and	CCONJ
ijassa-803	349	5	appl	appl	NOUN
ijassa-803	349	6	.	.	PUNCT
ijassa-803	350	1	(	(	PUNCT
ijassa-803	350	2	2020	2020	NUM
ijassa-803	350	3	)	)	PUNCT
ijassa-803	350	4	fig	fig	NOUN
ijassa-803	350	5	.	.	PUNCT
ijassa-803	351	1	2	2	X
ijassa-803	351	2	.	.	X
ijassa-803	351	3	compression	compression	NOUN
ijassa-803	351	4	ratio	ratio	NOUN
ijassa-803	351	5	vs	vs	ADP
ijassa-803	351	6	energy	energy	NOUN
ijassa-803	351	7	consumption	consumption	NOUN
ijassa-803	351	8	for	for	ADP
ijassa-803	351	9	compression	compression	NOUN
ijassa-803	351	10	methods	method	NOUN
ijassa-803	351	11	for	for	ADP
ijassa-803	351	12	fixed	fix	VERB
ijassa-803	351	13	4	4	NUM
ijassa-803	351	14	noiseh	noiseh	ADV
ijassa-803	351	15	v	v	ADP
ijassa-803	351	16	we	we	PRON
ijassa-803	351	17	shall	shall	AUX
ijassa-803	351	18	look	look	VERB
ijassa-803	351	19	at	at	ADP
ijassa-803	351	20	the	the	DET
ijassa-803	351	21	dependence	dependence	NOUN
ijassa-803	351	22	of	of	ADP
ijassa-803	351	23	energy	energy	NOUN
ijassa-803	351	24	required	require	VERB
ijassa-803	351	25	for	for	ADP
ijassa-803	351	26	compression	compression	NOUN
ijassa-803	351	27	on	on	ADP
ijassa-803	351	28	correlation	correlation	NOUN
ijassa-803	351	29	length	length	NOUN
ijassa-803	351	30	*	*	NOUN
ijassa-803	351	31	n	n	NOUN
ijassa-803	351	32	.	.	PUNCT
ijassa-803	352	1	the	the	DET
ijassa-803	352	2	energy	energy	NOUN
ijassa-803	352	3	consumption	consumption	NOUN
ijassa-803	352	4	depends	depend	VERB
ijassa-803	352	5	on	on	ADP
ijassa-803	352	6	the	the	DET
ijassa-803	352	7	operational	operational	ADJ
ijassa-803	352	8	model	model	NOUN
ijassa-803	352	9	of	of	ADP
ijassa-803	352	10	a	a	DET
ijassa-803	352	11	particular	particular	ADJ
ijassa-803	352	12	algorithm	algorithm	NOUN
ijassa-803	352	13	adopted	adopt	VERB
ijassa-803	352	14	for	for	ADP
ijassa-803	352	15	compression	compression	NOUN
ijassa-803	352	16	.	.	PUNCT
ijassa-803	353	1	in	in	ADP
ijassa-803	353	2	case	case	NOUN
ijassa-803	353	3	of	of	ADP
ijassa-803	353	4	ltc	ltc	NOUN
ijassa-803	353	5	,	,	PUNCT
ijassa-803	353	6	the	the	DET
ijassa-803	353	7	input	input	NOUN
ijassa-803	353	8	signal	signal	NOUN
ijassa-803	353	9	(	(	PUNCT
ijassa-803	353	10	)	)	PUNCT
ijassa-803	353	11	x	x	X
ijassa-803	353	12	n	n	X
ijassa-803	353	13	is	be	AUX
ijassa-803	353	14	incrementally	incrementally	ADV
ijassa-803	353	15	,	,	PUNCT
ijassa-803	353	16	initially	initially	ADV
ijassa-803	353	17	starts	start	VERB
ijassa-803	353	18	the	the	DET
ijassa-803	353	19	first	first	ADJ
ijassa-803	353	20	sample	sample	NOUN
ijassa-803	353	21	and	and	CCONJ
ijassa-803	353	22	including	include	VERB
ijassa-803	353	23	one	one	NUM
ijassa-803	353	24	sample	sample	NOUN
ijassa-803	353	25	at	at	ADP
ijassa-803	353	26	a	a	DET
ijassa-803	353	27	time	time	NOUN
ijassa-803	353	28	.	.	PUNCT
ijassa-803	354	1	thus	thus	ADV
ijassa-803	354	2	correlation	correlation	NOUN
ijassa-803	354	3	length	length	NOUN
ijassa-803	354	4	*	*	PUNCT
ijassa-803	354	5	n	n	PRON
ijassa-803	354	6	has	have	VERB
ijassa-803	354	7	weak	weak	ADJ
ijassa-803	354	8	influence	influence	NOUN
ijassa-803	354	9	on	on	ADP
ijassa-803	354	10	the	the	DET
ijassa-803	354	11	consumed	consume	VERB
ijassa-803	354	12	energy	energy	NOUN
ijassa-803	354	13	.	.	PUNCT
ijassa-803	355	1	plamlis	plamlis	PROPN
ijassa-803	355	2	divides	divide	VERB
ijassa-803	355	3	and	and	CCONJ
ijassa-803	355	4	reiterates	reiterate	VERB
ijassa-803	355	5	based	base	VERB
ijassa-803	355	6	on	on	ADP
ijassa-803	355	7	the	the	DET
ijassa-803	355	8	correlation	correlation	NOUN
ijassa-803	355	9	length	length	NOUN
ijassa-803	355	10	and	and	CCONJ
ijassa-803	355	11	thus	thus	ADV
ijassa-803	355	12	the	the	DET
ijassa-803	355	13	method	method	NOUN
ijassa-803	355	14	performs	perform	VERB
ijassa-803	355	15	lesser	less	ADJ
ijassa-803	355	16	iterations	iteration	NOUN
ijassa-803	355	17	if	if	SCONJ
ijassa-803	355	18	the	the	DET
ijassa-803	355	19	correlation	correlation	NOUN
ijassa-803	355	20	length	length	NOUN
ijassa-803	355	21	increases	increase	NOUN
ijassa-803	355	22	.	.	PUNCT
ijassa-803	356	1	thus	thus	ADV
ijassa-803	356	2	the	the	DET
ijassa-803	356	3	number	number	NOUN
ijassa-803	356	4	of	of	ADP
ijassa-803	356	5	operations	operation	NOUN
ijassa-803	356	6	required	require	VERB
ijassa-803	356	7	decreases	decrease	NOUN
ijassa-803	356	8	,	,	PUNCT
ijassa-803	356	9	consequently	consequently	ADV
ijassa-803	356	10	decreasing	decrease	VERB
ijassa-803	356	11	the	the	DET
ijassa-803	356	12	energy	energy	NOUN
ijassa-803	356	13	consumption	consumption	NOUN
ijassa-803	356	14	.	.	PUNCT
ijassa-803	357	1	for	for	ADP
ijassa-803	357	2	lasso	lasso	NOUN
ijassa-803	357	3	and	and	CCONJ
ijassa-803	357	4	mlasso	mlasso	NOUN
ijassa-803	357	5	,	,	PUNCT
ijassa-803	357	6	the	the	DET
ijassa-803	357	7	energy	energy	NOUN
ijassa-803	357	8	requirements	requirement	NOUN
ijassa-803	357	9	increases	increase	VERB
ijassa-803	357	10	during	during	ADP
ijassa-803	357	11	the	the	DET
ijassa-803	357	12	addition	addition	NOUN
ijassa-803	357	13	of	of	ADP
ijassa-803	357	14	new	new	ADJ
ijassa-803	357	15	sample	sample	NOUN
ijassa-803	357	16	to	to	ADP
ijassa-803	357	17	the	the	DET
ijassa-803	357	18	model	model	NOUN
ijassa-803	357	19	.	.	PUNCT
ijassa-803	358	1	the	the	DET
ijassa-803	358	2	error	error	NOUN
ijassa-803	358	3	tolerances	tolerance	NOUN
ijassa-803	358	4	have	have	VERB
ijassa-803	358	5	to	to	PART
ijassa-803	358	6	be	be	AUX
ijassa-803	358	7	verified	verify	VERB
ijassa-803	358	8	after	after	ADP
ijassa-803	358	9	updating	update	VERB
ijassa-803	358	10	the	the	DET
ijassa-803	358	11	model	model	NOUN
ijassa-803	358	12	.	.	PUNCT
ijassa-803	359	1	thus	thus	ADV
ijassa-803	359	2	energy	energy	NOUN
ijassa-803	359	3	consumption	consumption	NOUN
ijassa-803	359	4	by	by	ADP
ijassa-803	359	5	these	these	DET
ijassa-803	359	6	models	model	NOUN
ijassa-803	359	7	rises	rise	VERB
ijassa-803	359	8	with	with	ADP
ijassa-803	359	9	increased	increase	VERB
ijassa-803	359	10	correlation	correlation	NOUN
ijassa-803	359	11	length	length	NOUN
ijassa-803	359	12	of	of	ADP
ijassa-803	359	13	the	the	DET
ijassa-803	359	14	input	input	NOUN
ijassa-803	359	15	time	time	NOUN
ijassa-803	359	16	series	series	PROPN
ijassa-803	359	17	.	.	PUNCT
ijassa-803	360	1	in	in	ADP
ijassa-803	360	2	general	general	ADJ
ijassa-803	360	3	the	the	DET
ijassa-803	360	4	reconstruction	reconstruction	NOUN
ijassa-803	360	5	error	error	NOUN
ijassa-803	360	6	increases	increase	VERB
ijassa-803	360	7	with	with	ADP
ijassa-803	360	8	the	the	DET
ijassa-803	360	9	increased	increase	VERB
ijassa-803	360	10	compressed	compressed	ADJ
ijassa-803	360	11	ratio	ratio	NOUN
ijassa-803	360	12	.	.	PUNCT
ijassa-803	361	1	a	a	DET
ijassa-803	361	2	method	method	NOUN
ijassa-803	361	3	can	can	AUX
ijassa-803	361	4	be	be	AUX
ijassa-803	361	5	considered	consider	VERB
ijassa-803	361	6	as	as	ADV
ijassa-803	361	7	superior	superior	ADJ
ijassa-803	361	8	if	if	SCONJ
ijassa-803	361	9	it	it	PRON
ijassa-803	361	10	compresses	compress	VERB
ijassa-803	361	11	the	the	DET
ijassa-803	361	12	dataset	dataset	NOUN
ijassa-803	361	13	and	and	CCONJ
ijassa-803	361	14	if	if	SCONJ
ijassa-803	361	15	the	the	DET
ijassa-803	361	16	reconstructed	reconstructed	ADJ
ijassa-803	361	17	dataset	dataset	NOUN
ijassa-803	361	18	from	from	ADP
ijassa-803	361	19	the	the	DET
ijassa-803	361	20	compressed	compress	VERB
ijassa-803	361	21	data	data	NOUN
ijassa-803	361	22	is	be	AUX
ijassa-803	361	23	most	most	ADJ
ijassa-803	361	24	similar(less	similar(less	ADJ
ijassa-803	361	25	reconstruction	reconstruction	NOUN
ijassa-803	361	26	error	error	NOUN
ijassa-803	361	27	)	)	PUNCT
ijassa-803	361	28	to	to	ADP
ijassa-803	361	29	the	the	DET
ijassa-803	361	30	original	original	ADJ
ijassa-803	361	31	dataset	dataset	NOUN
ijassa-803	361	32	.	.	PUNCT
ijassa-803	362	1	in	in	ADP
ijassa-803	362	2	order	order	NOUN
ijassa-803	362	3	to	to	PART
ijassa-803	362	4	explore	explore	VERB
ijassa-803	362	5	the	the	DET
ijassa-803	362	6	capabilities	capability	NOUN
ijassa-803	362	7	of	of	ADP
ijassa-803	362	8	the	the	DET
ijassa-803	362	9	methods	method	NOUN
ijassa-803	362	10	in	in	ADP
ijassa-803	362	11	compressing	compress	VERB
ijassa-803	362	12	the	the	DET
ijassa-803	362	13	signals	signal	NOUN
ijassa-803	362	14	,	,	PUNCT
ijassa-803	362	15	error	error	NOUN
ijassa-803	362	16	of	of	ADP
ijassa-803	362	17	the	the	DET
ijassa-803	362	18	reconstructed	reconstruct	VERB
ijassa-803	362	19	signals	signal	NOUN
ijassa-803	362	20	from	from	ADP
ijassa-803	362	21	signals	signal	NOUN
ijassa-803	362	22	of	of	ADP
ijassa-803	362	23	different	different	ADJ
ijassa-803	362	24	compression	compression	NOUN
ijassa-803	362	25	ratios	ratio	NOUN
ijassa-803	362	26	are	be	AUX
ijassa-803	362	27	presented	present	VERB
ijassa-803	362	28	in	in	ADP
ijassa-803	362	29	fig.3	fig.3	PROPN
ijassa-803	362	30	.	.	PUNCT
ijassa-803	363	1	it	it	PRON
ijassa-803	363	2	can	can	AUX
ijassa-803	363	3	be	be	AUX
ijassa-803	363	4	found	find	VERB
ijassa-803	363	5	that	that	SCONJ
ijassa-803	363	6	the	the	DET
ijassa-803	363	7	reconstructed	reconstructed	ADJ
ijassa-803	363	8	signal	signal	NOUN
ijassa-803	363	9	from	from	ADP
ijassa-803	363	10	the	the	DET
ijassa-803	363	11	compressed	compress	VERB
ijassa-803	363	12	data	datum	NOUN
ijassa-803	363	13	using	use	VERB
ijassa-803	363	14	mlasso	mlasso	NOUN
ijassa-803	363	15	is	be	AUX
ijassa-803	363	16	more	more	ADV
ijassa-803	363	17	similar	similar	ADJ
ijassa-803	363	18	to	to	ADP
ijassa-803	363	19	the	the	DET
ijassa-803	363	20	original	original	ADJ
ijassa-803	363	21	signal(less	signal(less	NOUN
ijassa-803	363	22	error	error	NOUN
ijassa-803	363	23	)	)	PUNCT
ijassa-803	363	24	.	.	PUNCT
ijassa-803	364	1	also	also	ADV
ijassa-803	364	2	it	it	PRON
ijassa-803	364	3	can	can	AUX
ijassa-803	364	4	be	be	AUX
ijassa-803	364	5	observed	observe	VERB
ijassa-803	364	6	that	that	SCONJ
ijassa-803	364	7	the	the	DET
ijassa-803	364	8	proposed	propose	VERB
ijassa-803	364	9	method	method	NOUN
ijassa-803	364	10	for	for	ADP
ijassa-803	364	11	compression	compression	NOUN
ijassa-803	364	12	provides	provide	VERB
ijassa-803	364	13	generalized	generalized	ADJ
ijassa-803	364	14	performance	performance	NOUN
ijassa-803	364	15	for	for	ADP
ijassa-803	364	16	data	datum	NOUN
ijassa-803	364	17	of	of	ADP
ijassa-803	364	18	different	different	ADJ
ijassa-803	364	19	types	type	NOUN
ijassa-803	364	20	.	.	PUNCT
ijassa-803	365	1	the	the	DET
ijassa-803	365	2	error	error	NOUN
ijassa-803	365	3	remains	remain	VERB
ijassa-803	365	4	almost	almost	ADV
ijassa-803	365	5	same	same	ADJ
ijassa-803	365	6	for	for	ADP
ijassa-803	365	7	a	a	DET
ijassa-803	365	8	range	range	NOUN
ijassa-803	365	9	of	of	ADP
ijassa-803	365	10	compression	compression	NOUN
ijassa-803	365	11	ratio	ratio	NOUN
ijassa-803	365	12	.	.	PUNCT
ijassa-803	366	1	a	a	DET
ijassa-803	366	2	novel	novel	ADJ
ijassa-803	366	3	enriched	enrich	VERB
ijassa-803	366	4	lasso	lasso	NOUN
ijassa-803	366	5	based	base	VERB
ijassa-803	366	6	compression	compression	NOUN
ijassa-803	366	7	technique	technique	NOUN
ijassa-803	366	8	for	for	ADP
ijassa-803	366	9	energy	energy	NOUN
ijassa-803	366	10	efficient	efficient	ADJ
ijassa-803	366	11	wireless	wireless	ADJ
ijassa-803	366	12	sensor	sensor	NOUN
ijassa-803	366	13	networks	network	VERB
ijassa-803	366	14	77	77	NUM
ijassa-803	366	15	copyright	copyright	NOUN
ijassa-803	366	16	©	©	PROPN
ijassa-803	366	17	2020	2020	NUM
ijassa-803	366	18	assa	assa	PROPN
ijassa-803	366	19	adv	adv	PROPN
ijassa-803	366	20	.	.	PUNCT
ijassa-803	367	1	in	in	ADP
ijassa-803	367	2	systems	system	NOUN
ijassa-803	367	3	science	science	NOUN
ijassa-803	367	4	and	and	CCONJ
ijassa-803	367	5	appl	appl	NOUN
ijassa-803	367	6	.	.	PUNCT
ijassa-803	368	1	(	(	PUNCT
ijassa-803	368	2	2020	2020	NUM
ijassa-803	368	3	)	)	PUNCT
ijassa-803	368	4	fig	fig	NOUN
ijassa-803	368	5	.	.	PUNCT
ijassa-803	369	1	3	3	X
ijassa-803	369	2	.	.	X
ijassa-803	370	1	the	the	DET
ijassa-803	370	2	change	change	NOUN
ijassa-803	370	3	in	in	ADP
ijassa-803	370	4	error	error	NOUN
ijassa-803	370	5	at	at	ADP
ijassa-803	370	6	different	different	ADJ
ijassa-803	370	7	compression	compression	NOUN
ijassa-803	370	8	ratio	ratio	NOUN
ijassa-803	370	9	for	for	ADP
ijassa-803	370	10	different	different	ADJ
ijassa-803	370	11	datasets	dataset	NOUN
ijassa-803	370	12	this	this	DET
ijassa-803	370	13	performance	performance	NOUN
ijassa-803	370	14	of	of	ADP
ijassa-803	370	15	the	the	DET
ijassa-803	370	16	proposed	propose	VERB
ijassa-803	370	17	lasso	lasso	NOUN
ijassa-803	370	18	based	base	VERB
ijassa-803	370	19	method	method	NOUN
ijassa-803	370	20	mlasso	mlasso	NOUN
ijassa-803	370	21	allows	allow	VERB
ijassa-803	370	22	to	to	PART
ijassa-803	370	23	adopt	adopt	VERB
ijassa-803	370	24	the	the	DET
ijassa-803	370	25	method	method	NOUN
ijassa-803	370	26	to	to	PART
ijassa-803	370	27	compress	compress	VERB
ijassa-803	370	28	signals	signal	NOUN
ijassa-803	370	29	with	with	ADP
ijassa-803	370	30	more	more	ADJ
ijassa-803	370	31	variance	variance	NOUN
ijassa-803	370	32	between	between	ADP
ijassa-803	370	33	the	the	DET
ijassa-803	370	34	signal	signal	NOUN
ijassa-803	370	35	samples	sample	NOUN
ijassa-803	370	36	.	.	PUNCT
ijassa-803	371	1	also	also	ADV
ijassa-803	371	2	by	by	ADP
ijassa-803	371	3	adopting	adopt	VERB
ijassa-803	371	4	the	the	DET
ijassa-803	371	5	method	method	NOUN
ijassa-803	371	6	it	it	PRON
ijassa-803	371	7	is	be	AUX
ijassa-803	371	8	possible	possible	ADJ
ijassa-803	371	9	to	to	PART
ijassa-803	371	10	compress	compress	VERB
ijassa-803	371	11	the	the	DET
ijassa-803	371	12	signal	signal	NOUN
ijassa-803	371	13	to	to	ADP
ijassa-803	371	14	very	very	ADV
ijassa-803	371	15	smaller	small	ADJ
ijassa-803	371	16	sizes	size	NOUN
ijassa-803	371	17	,	,	PUNCT
ijassa-803	371	18	since	since	SCONJ
ijassa-803	371	19	the	the	DET
ijassa-803	371	20	original	original	ADJ
ijassa-803	371	21	signal	signal	NOUN
ijassa-803	371	22	can	can	AUX
ijassa-803	371	23	be	be	AUX
ijassa-803	371	24	reconstructed	reconstruct	VERB
ijassa-803	371	25	using	use	VERB
ijassa-803	371	26	small	small	ADJ
ijassa-803	371	27	error	error	NOUN
ijassa-803	371	28	.	.	PUNCT
ijassa-803	372	1	the	the	DET
ijassa-803	372	2	plots	plot	NOUN
ijassa-803	372	3	in	in	ADP
ijassa-803	372	4	fig.4	fig.4	PROPN
ijassa-803	372	5	shows	show	NOUN
ijassa-803	372	6	the	the	DET
ijassa-803	372	7	total	total	ADJ
ijassa-803	372	8	energy	energy	NOUN
ijassa-803	372	9	gain	gain	NOUN
ijassa-803	372	10	for	for	ADP
ijassa-803	372	11	different	different	ADJ
ijassa-803	372	12	correlation	correlation	NOUN
ijassa-803	372	13	lengths	length	NOUN
ijassa-803	372	14	.	.	PUNCT
ijassa-803	373	1	the	the	DET
ijassa-803	373	2	total	total	ADJ
ijassa-803	373	3	energy	energy	NOUN
ijassa-803	373	4	gain	gain	NOUN
ijassa-803	373	5	,	,	PUNCT
ijassa-803	373	6	defined	define	VERB
ijassa-803	373	7	as	as	ADP
ijassa-803	373	8	the	the	DET
ijassa-803	373	9	ratio	ratio	NOUN
ijassa-803	373	10	between	between	ADP
ijassa-803	373	11	the	the	DET
ijassa-803	373	12	energy	energy	NOUN
ijassa-803	373	13	spent	spend	VERB
ijassa-803	373	14	for	for	ADP
ijassa-803	373	15	transmission	transmission	NOUN
ijassa-803	373	16	in	in	ADP
ijassa-803	373	17	the	the	DET
ijassa-803	373	18	case	case	NOUN
ijassa-803	373	19	with	with	ADP
ijassa-803	373	20	no	no	DET
ijassa-803	373	21	compression	compression	NOUN
ijassa-803	373	22	and	and	CCONJ
ijassa-803	373	23	the	the	DET
ijassa-803	373	24	total	total	ADJ
ijassa-803	373	25	energy	energy	NOUN
ijassa-803	373	26	spent	spend	VERB
ijassa-803	373	27	for	for	ADP
ijassa-803	373	28	compression	compression	NOUN
ijassa-803	373	29	and	and	CCONJ
ijassa-803	373	30	transmission	transmission	NOUN
ijassa-803	373	31	using	use	VERB
ijassa-803	373	32	the	the	DET
ijassa-803	373	33	selected	select	VERB
ijassa-803	373	34	compression	compression	NOUN
ijassa-803	373	35	techniques	technique	NOUN
ijassa-803	373	36	.	.	PUNCT
ijassa-803	374	1	the	the	DET
ijassa-803	374	2	proposed	propose	VERB
ijassa-803	374	3	method	method	NOUN
ijassa-803	374	4	mlasso	mlasso	NOUN
ijassa-803	374	5	,	,	PUNCT
ijassa-803	374	6	produces	produce	VERB
ijassa-803	374	7	the	the	DET
ijassa-803	374	8	highest	high	ADJ
ijassa-803	374	9	energy	energy	NOUN
ijassa-803	374	10	gain	gain	NOUN
ijassa-803	374	11	.	.	PUNCT
ijassa-803	375	1	in	in	ADP
ijassa-803	375	2	wsn	wsn	PROPN
ijassa-803	375	3	scenario	scenario	NOUN
ijassa-803	375	4	the	the	DET
ijassa-803	375	5	total	total	ADJ
ijassa-803	375	6	energy	energy	NOUN
ijassa-803	375	7	is	be	AUX
ijassa-803	375	8	highly	highly	ADV
ijassa-803	375	9	contributed	contribute	VERB
ijassa-803	375	10	by	by	ADP
ijassa-803	375	11	the	the	DET
ijassa-803	375	12	energy	energy	NOUN
ijassa-803	375	13	required	require	VERB
ijassa-803	375	14	for	for	ADP
ijassa-803	375	15	computations	computation	NOUN
ijassa-803	375	16	required	require	VERB
ijassa-803	375	17	for	for	ADP
ijassa-803	375	18	compression	compression	NOUN
ijassa-803	375	19	.	.	PUNCT
ijassa-803	376	1	thus	thus	ADV
ijassa-803	376	2	,	,	PUNCT
ijassa-803	376	3	lightweight	lightweight	ADJ
ijassa-803	376	4	methods	method	NOUN
ijassa-803	376	5	,	,	PUNCT
ijassa-803	376	6	ltc	ltc	NOUN
ijassa-803	376	7	and	and	CCONJ
ijassa-803	376	8	plamlis	plamlis	PROPN
ijassa-803	376	9	,	,	PUNCT
ijassa-803	376	10	also	also	ADV
ijassa-803	376	11	performs	perform	VERB
ijassa-803	376	12	better	well	ADV
ijassa-803	376	13	.	.	PUNCT
ijassa-803	377	1	in	in	ADP
ijassa-803	377	2	the	the	DET
ijassa-803	377	3	case	case	NOUN
ijassa-803	377	4	of	of	ADP
ijassa-803	377	5	uwn	uwn	PROPN
ijassa-803	377	6	,	,	PUNCT
ijassa-803	377	7	the	the	DET
ijassa-803	377	8	energy	energy	NOUN
ijassa-803	377	9	required	require	VERB
ijassa-803	377	10	for	for	ADP
ijassa-803	377	11	computations	computation	NOUN
ijassa-803	377	12	of	of	ADP
ijassa-803	377	13	compression	compression	NOUN
ijassa-803	377	14	is	be	AUX
ijassa-803	377	15	negligible	negligible	ADJ
ijassa-803	377	16	compared	compare	VERB
ijassa-803	377	17	to	to	ADP
ijassa-803	377	18	transmission	transmission	NOUN
ijassa-803	377	19	energy	energy	NOUN
ijassa-803	377	20	requirements	requirement	NOUN
ijassa-803	377	21	.	.	PUNCT
ijassa-803	378	1	in	in	ADP
ijassa-803	378	2	this	this	DET
ijassa-803	378	3	scenario	scenario	NOUN
ijassa-803	378	4	,	,	PUNCT
ijassa-803	378	5	mlasso	mlasso	PROPN
ijassa-803	378	6	,	,	PUNCT
ijassa-803	378	7	whose	whose	DET
ijassa-803	378	8	performance	performance	NOUN
ijassa-803	378	9	is	be	AUX
ijassa-803	378	10	the	the	DET
ijassa-803	378	11	best	good	ADJ
ijassa-803	378	12	will	will	AUX
ijassa-803	378	13	support	support	VERB
ijassa-803	378	14	more	more	ADJ
ijassa-803	378	15	for	for	ADP
ijassa-803	378	16	energy	energy	NOUN
ijassa-803	378	17	savings	saving	NOUN
ijassa-803	378	18	.	.	PUNCT
ijassa-803	379	1	in	in	ADP
ijassa-803	379	2	this	this	DET
ijassa-803	379	3	case	case	NOUN
ijassa-803	379	4	energy	energy	NOUN
ijassa-803	379	5	savings	saving	NOUN
ijassa-803	379	6	by	by	ADP
ijassa-803	379	7	methods	method	NOUN
ijassa-803	379	8	such	such	ADJ
ijassa-803	379	9	as	as	ADP
ijassa-803	379	10	ltc	ltc	NOUN
ijassa-803	379	11	,	,	PUNCT
ijassa-803	379	12	is	be	AUX
ijassa-803	379	13	limited	limited	ADJ
ijassa-803	379	14	.	.	PUNCT
ijassa-803	380	1	it	it	PRON
ijassa-803	380	2	can	can	AUX
ijassa-803	380	3	be	be	AUX
ijassa-803	380	4	noted	note	VERB
ijassa-803	380	5	that	that	SCONJ
ijassa-803	380	6	till	till	SCONJ
ijassa-803	380	7	now	now	ADV
ijassa-803	380	8	the	the	DET
ijassa-803	380	9	compression	compression	NOUN
ijassa-803	380	10	ratio	ratio	NOUN
ijassa-803	380	11	has	have	AUX
ijassa-803	380	12	been	be	AUX
ijassa-803	380	13	considered	consider	VERB
ijassa-803	380	14	as	as	ADP
ijassa-803	380	15	a	a	DET
ijassa-803	380	16	parameter	parameter	NOUN
ijassa-803	380	17	to	to	PART
ijassa-803	380	18	evaluate	evaluate	VERB
ijassa-803	380	19	the	the	DET
ijassa-803	380	20	system	system	NOUN
ijassa-803	380	21	performance	performance	NOUN
ijassa-803	380	22	.	.	PUNCT
ijassa-803	381	1	and	and	CCONJ
ijassa-803	381	2	the	the	DET
ijassa-803	381	3	compression	compression	NOUN
ijassa-803	381	4	ratio	ratio	NOUN
ijassa-803	381	5	depends	depend	VERB
ijassa-803	381	6	on	on	ADP
ijassa-803	381	7	error	error	NOUN
ijassa-803	381	8	tolerance	tolerance	NOUN
ijassa-803	381	9	noiseh	noiseh	ADV
ijassa-803	382	1	[	[	X
ijassa-803	382	2	v	v	X
ijassa-803	382	3	,	,	PUNCT
ijassa-803	382	4	so	so	CCONJ
ijassa-803	382	5	the	the	DET
ijassa-803	382	6	compression	compression	NOUN
ijassa-803	382	7	algorithm	algorithm	NOUN
ijassa-803	382	8	takes	take	VERB
ijassa-803	382	9	ξ	ξ	PROPN
ijassa-803	382	10	as	as	ADP
ijassa-803	382	11	an	an	DET
ijassa-803	382	12	input	input	NOUN
ijassa-803	382	13	from	from	ADP
ijassa-803	382	14	the	the	DET
ijassa-803	382	15	user	user	NOUN
ijassa-803	382	16	.	.	PUNCT
ijassa-803	383	1	the	the	DET
ijassa-803	383	2	relative	relative	ADJ
ijassa-803	383	3	error	error	NOUN
ijassa-803	383	4	ξ	ξ	PRON
ijassa-803	383	5	can	can	AUX
ijassa-803	383	6	be	be	AUX
ijassa-803	383	7	related	relate	VERB
ijassa-803	383	8	with	with	ADP
ijassa-803	383	9	the	the	DET
ijassa-803	383	10	compression	compression	NOUN
ijassa-803	383	11	ratio	ratio	NOUN
ijassa-803	383	12	.	.	PUNCT
ijassa-803	384	1	here	here	ADV
ijassa-803	384	2	we	we	PRON
ijassa-803	384	3	relate	relate	VERB
ijassa-803	384	4	mathematically	mathematically	ADV
ijassa-803	384	5	ξ	ξ	NOUN
ijassa-803	384	6	as	as	ADP
ijassa-803	384	7	a	a	DET
ijassa-803	384	8	function	function	NOUN
ijassa-803	384	9	of	of	ADP
ijassa-803	384	10	compression	compression	NOUN
ijassa-803	384	11	ratio	ratio	NOUN
ijassa-803	384	12	.	.	PUNCT
ijassa-803	385	1	in	in	ADP
ijassa-803	385	2	the	the	DET
ijassa-803	385	3	same	same	ADJ
ijassa-803	385	4	way	way	NOUN
ijassa-803	385	5	cn	cn	PROPN
ijassa-803	385	6	can	can	AUX
ijassa-803	385	7	also	also	ADV
ijassa-803	385	8	be	be	AUX
ijassa-803	385	9	expressed	express	VERB
ijassa-803	385	10	with	with	ADP
ijassa-803	385	11	respect	respect	NOUN
ijassa-803	385	12	to	to	PART
ijassa-803	385	13	compression	compression	NOUN
ijassa-803	385	14	ratio	ratio	NOUN
ijassa-803	385	15	.	.	PUNCT
ijassa-803	386	1	these	these	DET
ijassa-803	386	2	relationships	relationship	NOUN
ijassa-803	386	3	have	have	AUX
ijassa-803	386	4	been	be	AUX
ijassa-803	386	5	derived	derive	VERB
ijassa-803	386	6	.	.	PUNCT
ijassa-803	387	1	78	78	NUM
ijassa-803	387	2	anitha	anitha	PROPN
ijassa-803	387	3	k.	k.	PROPN
ijassa-803	387	4	,	,	PUNCT
ijassa-803	387	5	jaison	jaison	PROPN
ijassa-803	387	6	b.	b.	PROPN
ijassa-803	387	7	,	,	PUNCT
ijassa-803	387	8	nalini	nalini	PROPN
ijassa-803	387	9	m.	m.	PROPN
ijassa-803	387	10	,	,	PUNCT
ijassa-803	387	11	shiny	shiny	PROPN
ijassa-803	387	12	irene	irene	PROPN
ijassa-803	387	13	d.	d.	PROPN
ijassa-803	387	14	copyright	copyright	PROPN
ijassa-803	388	1	©	©	PROPN
ijassa-803	388	2	2020	2020	NUM
ijassa-803	388	3	assa	assa	PROPN
ijassa-803	388	4	adv	adv	PROPN
ijassa-803	388	5	.	.	PUNCT
ijassa-803	389	1	in	in	ADP
ijassa-803	389	2	systems	system	NOUN
ijassa-803	389	3	science	science	NOUN
ijassa-803	389	4	and	and	CCONJ
ijassa-803	389	5	appl	appl	NOUN
ijassa-803	389	6	.	.	PUNCT
ijassa-803	390	1	(	(	PUNCT
ijassa-803	390	2	2020	2020	NUM
ijassa-803	390	3	)	)	PUNCT
ijassa-803	390	4	fig	fig	NOUN
ijassa-803	390	5	.	.	PUNCT
ijassa-803	391	1	4	4	X
ijassa-803	391	2	.	.	X
ijassa-803	391	3	energy	energy	NOUN
ijassa-803	391	4	gain	gain	NOUN
ijassa-803	391	5	vs	vs	ADP
ijassa-803	391	6	correlation	correlation	NOUN
ijassa-803	391	7	length	length	NOUN
ijassa-803	391	8	through	through	ADP
ijassa-803	391	9	synthetic	synthetic	ADJ
ijassa-803	391	10	signals	signal	NOUN
ijassa-803	391	11	,	,	PUNCT
ijassa-803	391	12	extensive	extensive	ADJ
ijassa-803	391	13	simulations	simulation	NOUN
ijassa-803	391	14	and	and	CCONJ
ijassa-803	391	15	numerical	numerical	ADJ
ijassa-803	391	16	fitting	fitting	ADJ
ijassa-803	391	17	.	.	PUNCT
ijassa-803	392	1	the	the	DET
ijassa-803	392	2	relative	relative	ADJ
ijassa-803	392	3	error	error	NOUN
ijassa-803	392	4	tolerance	tolerance	NOUN
ijassa-803	392	5	can	can	AUX
ijassa-803	392	6	be	be	AUX
ijassa-803	392	7	related	relate	VERB
ijassa-803	392	8	to	to	PART
ijassa-803	392	9	compression	compression	VERB
ijassa-803	392	10	ration	ration	NOUN
ijassa-803	392	11	through	through	ADP
ijassa-803	392	12	the	the	DET
ijassa-803	392	13	following	follow	VERB
ijassa-803	392	14	formulae	formulae	NOUN
ijassa-803	392	15	:	:	PUNCT
ijassa-803	392	16	2	2	NUM
ijassa-803	392	17	*	*	SYM
ijassa-803	392	18	4	4	NUM
ijassa-803	392	19	3	3	NUM
ijassa-803	392	20	2	2	NUM
ijassa-803	392	21	1	1	NUM
ijassa-803	392	22	2	2	NUM
ijassa-803	392	23	3	3	NUM
ijassa-803	392	24	1	1	NUM
ijassa-803	392	25	(	(	PUNCT
ijassa-803	392	26	,	,	PUNCT
ijassa-803	392	27	)	)	PUNCT
ijassa-803	392	28	1	1	NUM
ijassa-803	392	29	2	2	NUM
ijassa-803	392	30	3	3	NUM
ijassa-803	392	31	4	4	NUM
ijassa-803	392	32	5	5	NUM
ijassa-803	392	33	1	1	NUM
ijassa-803	392	34	p	p	NOUN
ijassa-803	392	35	p	p	X
ijassa-803	392	36	p	p	NOUN
ijassa-803	392	37	lasso	lasso	NOUN
ijassa-803	392	38	q	q	NOUN
ijassa-803	393	1	n	n	PRON
ijassa-803	393	2	p	p	NOUN
ijassa-803	394	1	p	p	X
ijassa-803	394	2	p	p	X
ijassa-803	394	3	p	p	X
ijassa-803	394	4	p	p	PROPN
ijassa-803	394	5	mlasso	mlasso	PROPN
ijassa-803	394	6	q	q	PROPN
ijassa-803	395	1	k	k	PROPN
ijassa-803	395	2	k	k	PROPN
ijassa-803	395	3	k	k	PROPN
ijassa-803	396	1	[	[	PUNCT
ijassa-803	396	2	k	k	X
ijassa-803	396	3	k	k	PROPN
ijassa-803	396	4	k	k	PROPN
ijassa-803	397	1	k	k	PROPN
ijassa-803	397	2	k	k	PROPN
ijassa-803	397	3	k	k	PROPN
ijassa-803	397	4	­	­	PROPN
ijassa-803	397	5	�	�	PROPN
ijassa-803	397	6	�	�	PROPN
ijassa-803	397	7	°	°	PROPN
ijassa-803	397	8	�	�	PROPN
ijassa-803	397	9	°	°	PROPN
ijassa-803	397	10	®	®	NOUN
ijassa-803	397	11	�	�	PROPN
ijassa-803	397	12	�	�	PROPN
ijassa-803	397	13	�	�	PROPN
ijassa-803	397	14	�	�	PROPN
ijassa-803	397	15	°	°	PROPN
ijassa-803	397	16	°	°	VERB
ijassa-803	397	17	�	�	NOUN
ijassa-803	397	18	¯	¯	PROPN
ijassa-803	397	19	(	(	PUNCT
ijassa-803	397	20	20	20	NUM
ijassa-803	397	21	)	)	PUNCT
ijassa-803	397	22	the	the	DET
ijassa-803	397	23	fitting	fitting	ADJ
ijassa-803	397	24	parameters	parameter	NOUN
ijassa-803	397	25	p1	p1	NOUN
ijassa-803	397	26	,	,	PUNCT
ijassa-803	397	27	p2	p2	NOUN
ijassa-803	397	28	,	,	PUNCT
ijassa-803	397	29	p3	p3	NOUN
ijassa-803	397	30	,	,	PUNCT
ijassa-803	397	31	p4	p4	ADJ
ijassa-803	397	32	,	,	PUNCT
ijassa-803	397	33	p5	p5	ADJ
ijassa-803	397	34	and	and	CCONJ
ijassa-803	397	35	q1	q1	NOUN
ijassa-803	397	36	depends	depend	VERB
ijassa-803	397	37	on	on	ADP
ijassa-803	397	38	the	the	DET
ijassa-803	397	39	correlation	correlation	NOUN
ijassa-803	397	40	length	length	NOUN
ijassa-803	397	41	.	.	PUNCT
ijassa-803	398	1	the	the	DET
ijassa-803	398	2	fitting	fitting	ADJ
ijassa-803	398	3	formulae	formulae	NOUN
ijassa-803	398	4	are	be	AUX
ijassa-803	398	5	validated	validate	VERB
ijassa-803	398	6	against	against	ADP
ijassa-803	398	7	the	the	DET
ijassa-803	398	8	carwad	carwad	NOUN
ijassa-803	398	9	dataset	dataset	VERB
ijassa-803	398	10	.	.	PUNCT
ijassa-803	399	1	the	the	DET
ijassa-803	399	2	temperature	temperature	NOUN
ijassa-803	399	3	and	and	CCONJ
ijassa-803	399	4	humidity	humidity	NOUN
ijassa-803	399	5	values	value	NOUN
ijassa-803	399	6	in	in	ADP
ijassa-803	399	7	the	the	DET
ijassa-803	399	8	dataset	dataset	NOUN
ijassa-803	399	9	are	be	AUX
ijassa-803	399	10	utilized	utilize	VERB
ijassa-803	399	11	for	for	ADP
ijassa-803	399	12	validation	validation	NOUN
ijassa-803	399	13	.	.	PUNCT
ijassa-803	400	1	the	the	DET
ijassa-803	400	2	experimental	experimental	ADJ
ijassa-803	400	3	relationships	relationship	NOUN
ijassa-803	400	4	of	of	ADP
ijassa-803	400	5	eq	eq	PROPN
ijassa-803	400	6	.	.	PUNCT
ijassa-803	401	1	(	(	PUNCT
ijassa-803	401	2	14	14	NUM
ijassa-803	401	3	)	)	PUNCT
ijassa-803	401	4	for	for	ADP
ijassa-803	401	5	mlasso	mlasso	NOUN
ijassa-803	401	6	and	and	CCONJ
ijassa-803	401	7	lasso	lasso	NOUN
ijassa-803	401	8	are	be	AUX
ijassa-803	401	9	provided	provide	VERB
ijassa-803	401	10	in	in	ADP
ijassa-803	401	11	fig	fig	NOUN
ijassa-803	401	12	.	.	PUNCT
ijassa-803	402	1	5(a	5(a	NUM
ijassa-803	402	2	)	)	PUNCT
ijassa-803	402	3	and	and	CCONJ
ijassa-803	402	4	5(b	5(b	NUM
ijassa-803	402	5	)	)	PUNCT
ijassa-803	402	6	.	.	PUNCT
ijassa-803	403	1	the	the	DET
ijassa-803	403	2	plot	plot	NOUN
ijassa-803	403	3	with	with	ADP
ijassa-803	403	4	marks	mark	NOUN
ijassa-803	403	5	provide	provide	VERB
ijassa-803	403	6	the	the	DET
ijassa-803	403	7	performance	performance	NOUN
ijassa-803	403	8	obtained	obtain	VERB
ijassa-803	403	9	to	to	PART
ijassa-803	403	10	compress	compress	VERB
ijassa-803	403	11	temperature	temperature	NOUN
ijassa-803	403	12	and	and	CCONJ
ijassa-803	403	13	humidity	humidity	NOUN
ijassa-803	403	14	dataset	dataset	NOUN
ijassa-803	403	15	using	use	VERB
ijassa-803	403	16	lasso	lasso	NOUN
ijassa-803	403	17	and	and	CCONJ
ijassa-803	403	18	mlasso	mlasso	NOUN
ijassa-803	403	19	.	.	PUNCT
ijassa-803	404	1	from	from	ADP
ijassa-803	404	2	these	these	DET
ijassa-803	404	3	plots	plot	NOUN
ijassa-803	404	4	,	,	PUNCT
ijassa-803	404	5	it	it	PRON
ijassa-803	404	6	can	can	AUX
ijassa-803	404	7	be	be	AUX
ijassa-803	404	8	noted	note	VERB
ijassa-803	404	9	that	that	SCONJ
ijassa-803	404	10	the	the	DET
ijassa-803	404	11	numerical	numerical	ADJ
ijassa-803	404	12	fittings	fitting	NOUN
ijassa-803	404	13	obtained	obtain	VERB
ijassa-803	404	14	with	with	ADP
ijassa-803	404	15	the	the	DET
ijassa-803	404	16	synthetic	synthetic	ADJ
ijassa-803	404	17	signals	signal	NOUN
ijassa-803	404	18	also	also	ADV
ijassa-803	404	19	suitable	suitable	ADJ
ijassa-803	404	20	for	for	ADP
ijassa-803	404	21	representing	represent	VERB
ijassa-803	404	22	the	the	DET
ijassa-803	404	23	signals	signal	NOUN
ijassa-803	404	24	from	from	ADP
ijassa-803	404	25	datasets	dataset	NOUN
ijassa-803	404	26	.	.	PUNCT
ijassa-803	405	1	it	it	PRON
ijassa-803	405	2	can	can	AUX
ijassa-803	405	3	be	be	AUX
ijassa-803	405	4	also	also	ADV
ijassa-803	405	5	observed	observe	VERB
ijassa-803	405	6	for	for	ADP
ijassa-803	405	7	decreasing	decrease	VERB
ijassa-803	405	8	values	value	NOUN
ijassa-803	405	9	of	of	ADP
ijassa-803	405	10	*	*	NOUN
ijassa-803	405	11	n	n	NOUN
ijassa-803	405	12	,	,	PUNCT
ijassa-803	405	13	the	the	DET
ijassa-803	405	14	shape	shape	NOUN
ijassa-803	405	15	of	of	ADP
ijassa-803	405	16	the	the	DET
ijassa-803	405	17	curves	curve	NOUN
ijassa-803	405	18	related	relate	VERB
ijassa-803	405	19	to	to	ADP
ijassa-803	405	20	ξ	ξ	PROPN
ijassa-803	405	21	and	and	CCONJ
ijassa-803	405	22	compression	compression	NOUN
ijassa-803	405	23	ratio	ratio	NOUN
ijassa-803	405	24	remain	remain	VERB
ijassa-803	405	25	similar	similar	ADJ
ijassa-803	405	26	but	but	CCONJ
ijassa-803	405	27	shifts	shift	NOUN
ijassa-803	405	28	towards	towards	ADP
ijassa-803	405	29	the	the	DET
ijassa-803	405	30	right	right	NOUN
ijassa-803	405	31	.	.	PUNCT
ijassa-803	406	1	lastly	lastly	ADV
ijassa-803	406	2	,	,	PUNCT
ijassa-803	406	3	it	it	PRON
ijassa-803	406	4	is	be	AUX
ijassa-803	406	5	noticed	notice	VERB
ijassa-803	406	6	that	that	SCONJ
ijassa-803	406	7	the	the	DET
ijassa-803	406	8	influence	influence	NOUN
ijassa-803	406	9	of	of	ADP
ijassa-803	406	10	*	*	PUNCT
ijassa-803	406	11	n	n	X
ijassa-803	406	12	on	on	ADP
ijassa-803	406	13	the	the	DET
ijassa-803	406	14	performance	performance	NOUN
ijassa-803	406	15	is	be	AUX
ijassa-803	406	16	mainly	mainly	ADV
ijassa-803	406	17	noticeable	noticeable	ADJ
ijassa-803	406	18	at	at	ADP
ijassa-803	406	19	lesser	less	ADJ
ijassa-803	406	20	values	value	NOUN
ijassa-803	406	21	of	of	ADP
ijassa-803	406	22	*	*	NOUN
ijassa-803	406	23	n	n	NOUN
ijassa-803	406	24	,	,	PUNCT
ijassa-803	406	25	and	and	CCONJ
ijassa-803	406	26	for	for	ADP
ijassa-803	406	27	correlation	correlation	NOUN
ijassa-803	406	28	lengths	length	NOUN
ijassa-803	406	29	larger	large	ADJ
ijassa-803	406	30	than	than	ADP
ijassa-803	406	31	100	100	NUM
ijassa-803	406	32	,	,	PUNCT
ijassa-803	406	33	the	the	DET
ijassa-803	406	34	plots	plot	NOUN
ijassa-803	406	35	be	be	VERB
ijassa-803	406	36	likely	likely	ADJ
ijassa-803	406	37	to	to	PART
ijassa-803	406	38	converge	converge	VERB
ijassa-803	406	39	.	.	PUNCT
ijassa-803	407	1	it	it	PRON
ijassa-803	407	2	was	be	AUX
ijassa-803	407	3	also	also	ADV
ijassa-803	407	4	found	find	VERB
ijassa-803	407	5	that	that	SCONJ
ijassa-803	407	6	the	the	DET
ijassa-803	407	7	computational	computational	ADJ
ijassa-803	407	8	cost	cost	NOUN
ijassa-803	407	9	cn	cn	PROPN
ijassa-803	407	10	depends	depend	VERB
ijassa-803	407	11	linearly	linearly	ADV
ijassa-803	407	12	on	on	ADP
ijassa-803	407	13	compression	compression	NOUN
ijassa-803	407	14	ratio	ratio	NOUN
ijassa-803	407	15	and	and	CCONJ
ijassa-803	407	16	the	the	DET
ijassa-803	407	17	correlation	correlation	NOUN
ijassa-803	407	18	length	length	NOUN
ijassa-803	407	19	(	(	PUNCT
ijassa-803	407	20	*	*	NOUN
ijassa-803	407	21	n	n	NOUN
ijassa-803	407	22	)	)	PUNCT
ijassa-803	407	23	and	and	CCONJ
ijassa-803	407	24	can	can	AUX
ijassa-803	407	25	be	be	AUX
ijassa-803	407	26	expressed	express	VERB
ijassa-803	407	27	as	as	ADP
ijassa-803	407	28	in	in	ADP
ijassa-803	407	29	eq.(15	eq.(15	NOUN
ijassa-803	407	30	):	):	PUNCT
ijassa-803	407	31	*	*	PUNCT
ijassa-803	408	1	*	*	PUNCT
ijassa-803	408	2	(	(	PUNCT
ijassa-803	408	3	,	,	PUNCT
ijassa-803	408	4	)	)	PUNCT
ijassa-803	408	5	(	(	PUNCT
ijassa-803	408	6	)	)	PUNCT
ijassa-803	408	7	cn	cn	PROPN
ijassa-803	408	8	n	n	PROPN
ijassa-803	408	9	cr	cr	PROPN
ijassa-803	408	10	cr	cr	PROPN
ijassa-803	408	11	nd	nd	PROPN
ijassa-803	408	12	j	j	PROPN
ijassa-803	408	13	e	e	PROPN
ijassa-803	408	14	�	�	PROPN
ijassa-803	408	15	�	�	PROPN
ijassa-803	408	16	(	(	PUNCT
ijassa-803	408	17	21	21	NUM
ijassa-803	408	18	)	)	PUNCT
ijassa-803	408	19	from	from	ADP
ijassa-803	408	20	the	the	DET
ijassa-803	408	21	experiments	experiment	NOUN
ijassa-803	408	22	it	it	PRON
ijassa-803	408	23	is	be	AUX
ijassa-803	408	24	ensured	ensure	VERB
ijassa-803	408	25	that	that	SCONJ
ijassa-803	408	26	cn	cn	PROPN
ijassa-803	408	27	more	more	ADJ
ijassa-803	408	28	depends	depend	VERB
ijassa-803	408	29	on	on	ADP
ijassa-803	408	30	compression	compression	NOUN
ijassa-803	408	31	ratio	ratio	NOUN
ijassa-803	408	32	and	and	CCONJ
ijassa-803	408	33	less	less	ADJ
ijassa-803	408	34	on	on	ADP
ijassa-803	408	35	correlation	correlation	NOUN
ijassa-803	408	36	length	length	NOUN
ijassa-803	408	37	.	.	PUNCT
ijassa-803	409	1	hence	hence	ADV
ijassa-803	409	2	eq.(15	eq.(15	NOUN
ijassa-803	409	3	)	)	PUNCT
ijassa-803	409	4	takes	take	VERB
ijassa-803	409	5	a	a	DET
ijassa-803	409	6	simple	simple	ADJ
ijassa-803	409	7	form	form	NOUN
ijassa-803	409	8	as	as	ADP
ijassa-803	409	9	in	in	ADP
ijassa-803	409	10	eq.(16	eq.(16	NOUN
ijassa-803	409	11	)	)	PUNCT
ijassa-803	409	12	(	(	PUNCT
ijassa-803	409	13	)	)	PUNCT
ijassa-803	409	14	(	(	PUNCT
ijassa-803	409	15	)	)	PUNCT
ijassa-803	409	16	cn	cn	PROPN
ijassa-803	409	17	cr	cr	PROPN
ijassa-803	409	18	crd	crd	PROPN
ijassa-803	409	19	e	e	PROPN
ijassa-803	409	20	�	�	PROPN
ijassa-803	409	21	(	(	PUNCT
ijassa-803	409	22	22	22	NUM
ijassa-803	409	23	)	)	PUNCT
ijassa-803	409	24	fig	fig	NOUN
ijassa-803	409	25	.	.	PUNCT
ijassa-803	409	26	6	6	NUM
ijassa-803	409	27	provides	provide	VERB
ijassa-803	409	28	the	the	DET
ijassa-803	409	29	results	result	NOUN
ijassa-803	409	30	of	of	ADP
ijassa-803	409	31	eq	eq	NOUN
ijassa-803	409	32	.	.	PUNCT
ijassa-803	410	1	(	(	PUNCT
ijassa-803	410	2	16	16	NUM
ijassa-803	410	3	)	)	PUNCT
ijassa-803	410	4	.	.	PUNCT
ijassa-803	411	1	the	the	DET
ijassa-803	411	2	results	result	NOUN
ijassa-803	411	3	ensure	ensure	VERB
ijassa-803	411	4	results	result	NOUN
ijassa-803	411	5	obtained	obtain	VERB
ijassa-803	411	6	for	for	ADP
ijassa-803	411	7	experimental	experimental	ADJ
ijassa-803	411	8	signals	signal	NOUN
ijassa-803	411	9	against	against	ADP
ijassa-803	411	10	the	the	DET
ijassa-803	411	11	results	result	NOUN
ijassa-803	411	12	obtained	obtain	VERB
ijassa-803	411	13	on	on	ADP
ijassa-803	411	14	real	real	ADJ
ijassa-803	411	15	world	world	NOUN
ijassa-803	411	16	signals	signal	NOUN
ijassa-803	411	17	.	.	PUNCT
ijassa-803	412	1	a	a	DET
ijassa-803	412	2	novel	novel	ADJ
ijassa-803	412	3	enriched	enrich	VERB
ijassa-803	412	4	lasso	lasso	NOUN
ijassa-803	412	5	based	base	VERB
ijassa-803	412	6	compression	compression	NOUN
ijassa-803	412	7	technique	technique	NOUN
ijassa-803	412	8	for	for	ADP
ijassa-803	412	9	energy	energy	NOUN
ijassa-803	412	10	efficient	efficient	ADJ
ijassa-803	412	11	wireless	wireless	ADJ
ijassa-803	412	12	sensor	sensor	NOUN
ijassa-803	412	13	networks	network	VERB
ijassa-803	412	14	79	79	NUM
ijassa-803	412	15	copyright	copyright	NOUN
ijassa-803	412	16	©	©	PROPN
ijassa-803	412	17	2020	2020	NUM
ijassa-803	412	18	assa	assa	PROPN
ijassa-803	412	19	adv	adv	PROPN
ijassa-803	412	20	.	.	PUNCT
ijassa-803	413	1	in	in	ADP
ijassa-803	413	2	systems	system	NOUN
ijassa-803	413	3	science	science	NOUN
ijassa-803	413	4	and	and	CCONJ
ijassa-803	413	5	appl	appl	NOUN
ijassa-803	413	6	.	.	PUNCT
ijassa-803	414	1	(	(	PUNCT
ijassa-803	414	2	2020	2020	NUM
ijassa-803	414	3	)	)	PUNCT
ijassa-803	414	4	fig	fig	NOUN
ijassa-803	414	5	.	.	PUNCT
ijassa-803	415	1	5	5	X
ijassa-803	415	2	.	.	X
ijassa-803	415	3	relationship	relationship	NOUN
ijassa-803	415	4	between	between	ADP
ijassa-803	415	5	compression	compression	NOUN
ijassa-803	415	6	ratio	ratio	NOUN
ijassa-803	415	7	and	and	CCONJ
ijassa-803	415	8	fitting	fitting	ADJ
ijassa-803	415	9	functions	function	NOUN
ijassa-803	415	10	*	*	PUNCT
ijassa-803	415	11	(	(	PUNCT
ijassa-803	415	12	,	,	PUNCT
ijassa-803	415	13	)	)	PUNCT
ijassa-803	415	14	n	n	CCONJ
ijassa-803	415	15	[	[	PUNCT
ijassa-803	415	16	k	k	X
ijassa-803	415	17	for	for	ADP
ijassa-803	415	18	mlasso	mlasso	NOUN
ijassa-803	415	19	and	and	CCONJ
ijassa-803	415	20	lasso	lasso	ADJ
ijassa-803	415	21	fig	fig	NOUN
ijassa-803	415	22	.	.	PUNCT
ijassa-803	416	1	6	6	X
ijassa-803	416	2	.	.	X
ijassa-803	416	3	relationship	relationship	NOUN
ijassa-803	416	4	between	between	ADP
ijassa-803	416	5	compression	compression	NOUN
ijassa-803	416	6	ratio	ratio	NOUN
ijassa-803	416	7	and	and	CCONJ
ijassa-803	416	8	no	no	NOUN
ijassa-803	416	9	.	.	NOUN
ijassa-803	416	10	of	of	ADP
ijassa-803	416	11	cycles	cycle	NOUN
ijassa-803	416	12	per	per	ADP
ijassa-803	416	13	bit	bit	NOUN
ijassa-803	416	14	5	5	NUM
ijassa-803	416	15	.	.	PUNCT
ijassa-803	416	16	conclusion	conclusion	NOUN
ijassa-803	416	17	in	in	ADP
ijassa-803	416	18	this	this	DET
ijassa-803	416	19	paper	paper	NOUN
ijassa-803	416	20	we	we	PRON
ijassa-803	416	21	have	have	AUX
ijassa-803	416	22	systematically	systematically	ADV
ijassa-803	416	23	compared	compare	VERB
ijassa-803	416	24	the	the	DET
ijassa-803	416	25	lasso	lasso	NOUN
ijassa-803	416	26	and	and	CCONJ
ijassa-803	416	27	a	a	DET
ijassa-803	416	28	mlasso	mlasso	ADJ
ijassa-803	416	29	compression	compression	NOUN
ijassa-803	416	30	algorithms	algorithm	NOUN
ijassa-803	416	31	for	for	ADP
ijassa-803	416	32	saving	save	VERB
ijassa-803	416	33	the	the	DET
ijassa-803	416	34	energy	energy	NOUN
ijassa-803	416	35	in	in	ADP
ijassa-803	416	36	sensor	sensor	NOUN
ijassa-803	416	37	networking	networking	NOUN
ijassa-803	416	38	.	.	PUNCT
ijassa-803	417	1	the	the	DET
ijassa-803	417	2	intension	intension	NOUN
ijassa-803	417	3	was	be	AUX
ijassa-803	417	4	to	to	PART
ijassa-803	417	5	explore	explore	VERB
ijassa-803	417	6	the	the	DET
ijassa-803	417	7	better	well	ADJ
ijassa-803	417	8	method	method	NOUN
ijassa-803	417	9	for	for	ADP
ijassa-803	417	10	energy	energy	NOUN
ijassa-803	417	11	savings	saving	NOUN
ijassa-803	417	12	are	be	AUX
ijassa-803	417	13	possible	possible	ADJ
ijassa-803	417	14	depending	depend	VERB
ijassa-803	417	15	on	on	ADP
ijassa-803	417	16	the	the	DET
ijassa-803	417	17	statistics	statistic	NOUN
ijassa-803	417	18	of	of	ADP
ijassa-803	417	19	sensor	sensor	NOUN
ijassa-803	417	20	algorithm	algorithm	NOUN
ijassa-803	417	21	,	,	PUNCT
ijassa-803	417	22	performance	performance	NOUN
ijassa-803	417	23	of	of	ADP
ijassa-803	417	24	compression	compression	NOUN
ijassa-803	417	25	and	and	CCONJ
ijassa-803	417	26	the	the	DET
ijassa-803	417	27	type	type	NOUN
ijassa-803	417	28	of	of	ADP
ijassa-803	417	29	hardware	hardware	NOUN
ijassa-803	417	30	used	use	VERB
ijassa-803	417	31	to	to	PART
ijassa-803	417	32	construct	construct	VERB
ijassa-803	417	33	the	the	DET
ijassa-803	417	34	network	network	NOUN
ijassa-803	417	35	.	.	PUNCT
ijassa-803	418	1	the	the	DET
ijassa-803	418	2	results	result	NOUN
ijassa-803	418	3	in	in	ADP
ijassa-803	418	4	the	the	DET
ijassa-803	418	5	paper	paper	NOUN
ijassa-803	418	6	reveal	reveal	VERB
ijassa-803	418	7	that	that	SCONJ
ijassa-803	418	8	there	there	PRON
ijassa-803	418	9	is	be	VERB
ijassa-803	418	10	considerable	considerable	ADJ
ijassa-803	418	11	energy	energy	NOUN
ijassa-803	418	12	savings	saving	NOUN
ijassa-803	418	13	when	when	SCONJ
ijassa-803	418	14	signal	signal	NOUN
ijassa-803	418	15	compression	compression	NOUN
ijassa-803	418	16	is	be	AUX
ijassa-803	418	17	done	do	VERB
ijassa-803	418	18	by	by	ADP
ijassa-803	418	19	using	use	VERB
ijassa-803	418	20	lasso	lasso	NOUN
ijassa-803	418	21	based	base	VERB
ijassa-803	418	22	algorithms	algorithm	NOUN
ijassa-803	418	23	,	,	PUNCT
ijassa-803	418	24	since	since	SCONJ
ijassa-803	418	25	they	they	PRON
ijassa-803	418	26	need	need	VERB
ijassa-803	418	27	lesser	less	ADJ
ijassa-803	418	28	computational	computational	ADJ
ijassa-803	418	29	cost	cost	NOUN
ijassa-803	418	30	.	.	PUNCT
ijassa-803	419	1	but	but	CCONJ
ijassa-803	419	2	it	it	PRON
ijassa-803	419	3	can	can	AUX
ijassa-803	419	4	be	be	AUX
ijassa-803	419	5	noticed	notice	VERB
ijassa-803	419	6	that	that	SCONJ
ijassa-803	419	7	in	in	ADP
ijassa-803	419	8	the	the	DET
ijassa-803	419	9	case	case	NOUN
ijassa-803	419	10	of	of	ADP
ijassa-803	419	11	underwater	underwater	ADJ
ijassa-803	419	12	transmission	transmission	NOUN
ijassa-803	419	13	of	of	ADP
ijassa-803	419	14	data	datum	NOUN
ijassa-803	419	15	more	more	ADJ
ijassa-803	419	16	energy	energy	NOUN
ijassa-803	419	17	shall	shall	AUX
ijassa-803	419	18	be	be	AUX
ijassa-803	419	19	required	require	VERB
ijassa-803	419	20	and	and	CCONJ
ijassa-803	419	21	in	in	ADP
ijassa-803	419	22	these	these	DET
ijassa-803	419	23	case	case	NOUN
ijassa-803	419	24	algorithms	algorithm	NOUN
ijassa-803	419	25	that	that	PRON
ijassa-803	419	26	can	can	AUX
ijassa-803	419	27	produce	produce	VERB
ijassa-803	419	28	higher	high	ADJ
ijassa-803	419	29	compression	compression	NOUN
ijassa-803	419	30	performance	performance	NOUN
ijassa-803	419	31	will	will	AUX
ijassa-803	419	32	be	be	AUX
ijassa-803	419	33	more	more	ADV
ijassa-803	419	34	suitable	suitable	ADJ
ijassa-803	419	35	.	.	PUNCT
ijassa-803	420	1	at	at	ADP
ijassa-803	420	2	the	the	DET
ijassa-803	420	3	end	end	NOUN
ijassa-803	420	4	formulas	formula	NOUN
ijassa-803	420	5	for	for	ADP
ijassa-803	420	6	parameters	parameter	NOUN
ijassa-803	420	7	that	that	PRON
ijassa-803	420	8	are	be	AUX
ijassa-803	420	9	suitable	suitable	ADJ
ijassa-803	420	10	for	for	ADP
ijassa-803	420	11	lasso	lasso	NOUN
ijassa-803	420	12	based	base	VERB
ijassa-803	420	13	compression	compression	NOUN
ijassa-803	420	14	methods	method	NOUN
ijassa-803	420	15	that	that	PRON
ijassa-803	420	16	relates	relate	VERB
ijassa-803	420	17	computational	computational	ADJ
ijassa-803	420	18	requirements	requirement	NOUN
ijassa-803	420	19	,	,	PUNCT
ijassa-803	420	20	reconstruction	reconstruction	NOUN
ijassa-803	420	21	error	error	NOUN
ijassa-803	420	22	and	and	CCONJ
ijassa-803	420	23	compression	compression	NOUN
ijassa-803	420	24	ratio	ratio	NOUN
ijassa-803	420	25	are	be	AUX
ijassa-803	420	26	80	80	NUM
ijassa-803	420	27	anitha	anitha	NOUN
ijassa-803	420	28	k.	k.	PROPN
ijassa-803	420	29	,	,	PUNCT
ijassa-803	420	30	jaison	jaison	PROPN
ijassa-803	420	31	b.	b.	PROPN
ijassa-803	420	32	,	,	PUNCT
ijassa-803	420	33	nalini	nalini	PROPN
ijassa-803	420	34	m.	m.	PROPN
ijassa-803	420	35	,	,	PUNCT
ijassa-803	421	1	shiny	shiny	PROPN
ijassa-803	421	2	irene	irene	PROPN
ijassa-803	421	3	d.	d.	PROPN
ijassa-803	421	4	copyright	copyright	PROPN
ijassa-803	422	1	©	©	PROPN
ijassa-803	422	2	2020	2020	NUM
ijassa-803	422	3	assa	assa	PROPN
ijassa-803	422	4	adv	adv	PROPN
ijassa-803	422	5	.	.	PUNCT
ijassa-803	423	1	in	in	ADP
ijassa-803	423	2	systems	system	NOUN
ijassa-803	423	3	science	science	NOUN
ijassa-803	423	4	and	and	CCONJ
ijassa-803	423	5	appl	appl	NOUN
ijassa-803	423	6	.	.	PUNCT
ijassa-803	424	1	(	(	PUNCT
ijassa-803	424	2	2020	2020	NUM
ijassa-803	424	3	)	)	PUNCT
ijassa-803	424	4	derived	derive	VERB
ijassa-803	424	5	and	and	CCONJ
ijassa-803	424	6	tested	test	VERB
ijassa-803	424	7	with	with	ADP
ijassa-803	424	8	real	real	ADJ
ijassa-803	424	9	world	world	NOUN
ijassa-803	424	10	datasets	dataset	NOUN
ijassa-803	424	11	.	.	PUNCT
ijassa-803	425	1	the	the	DET
ijassa-803	425	2	usefulness	usefulness	NOUN
ijassa-803	425	3	of	of	ADP
ijassa-803	425	4	proposed	propose	VERB
ijassa-803	425	5	algorithm	algorithm	NOUN
ijassa-803	425	6	is	be	AUX
ijassa-803	425	7	assessed	assess	VERB
ijassa-803	425	8	using	use	VERB
ijassa-803	425	9	these	these	DET
ijassa-803	425	10	test	test	NOUN
ijassa-803	425	11	results	result	NOUN
ijassa-803	425	12	.	.	PUNCT
ijassa-803	426	1	references	reference	NOUN
ijassa-803	426	2	1	1	NUM
ijassa-803	426	3	.	.	PUNCT
ijassa-803	426	4	fan	fan	PROPN
ijassa-803	426	5	wu	wu	PROPN
ijassa-803	426	6	,	,	PUNCT
ijassa-803	426	7	jean	jean	PROPN
ijassa-803	426	8	-	-	PUNCT
ijassa-803	426	9	michel	michel	PROPN
ijassa-803	426	10	redouté	redouté	PROPN
ijassa-803	426	11	,	,	PUNCT
ijassa-803	426	12	mehmet	mehmet	PROPN
ijassa-803	426	13	rasit	rasit	PROPN
ijassa-803	426	14	yuce	yuce	PROPN
ijassa-803	426	15	,	,	PUNCT
ijassa-803	426	16	(	(	PUNCT
ijassa-803	426	17	2018	2018	NUM
ijassa-803	426	18	)	)	PUNCT
ijassa-803	426	19	.	.	PUNCT
ijassa-803	427	1	we	we	PRON
ijassa-803	427	2	-	-	PUNCT
ijassa-803	427	3	safe	safe	ADJ
ijassa-803	427	4	:	:	PUNCT
ijassa-803	427	5	a	a	DET
ijassa-803	427	6	self	self	NOUN
ijassa-803	427	7	-	-	PUNCT
ijassa-803	427	8	powered	power	VERB
ijassa-803	427	9	wearable	wearable	ADJ
ijassa-803	427	10	iot	iot	NOUN
ijassa-803	427	11	sensornetwork	sensornetwork	NOUN
ijassa-803	427	12	for	for	ADP
ijassa-803	427	13	safety	safety	NOUN
ijassa-803	427	14	applications	application	NOUN
ijassa-803	427	15	based	base	VERB
ijassa-803	427	16	on	on	ADP
ijassa-803	427	17	lora	lora	PROPN
ijassa-803	427	18	,	,	PUNCT
ijassa-803	427	19	ieee	ieee	NOUN
ijassa-803	427	20	access	access	NOUN
ijassa-803	427	21	,	,	PUNCT
ijassa-803	427	22	6	6	NUM
ijassa-803	427	23	,	,	PUNCT
ijassa-803	427	24	pp	pp	ADJ
ijassa-803	427	25	.	.	PUNCT
ijassa-803	428	1	40846	40846	NUM
ijassa-803	428	2	–	–	PUNCT
ijassa-803	428	3	40853	40853	NUM
ijassa-803	428	4	.	.	PUNCT
ijassa-803	429	1	2	2	X
ijassa-803	429	2	.	.	X
ijassa-803	429	3	kozlovszky	kozlovszky	PROPN
ijassa-803	429	4	m.	m.	NOUN
ijassa-803	429	5	,	,	PUNCT
ijassa-803	429	6	kovacs	kovacs	PROPN
ijassa-803	429	7	l.	l.	PROPN
ijassa-803	429	8	,	,	PUNCT
ijassa-803	429	9	karoczkai	karoczkai	PROPN
ijassa-803	429	10	k.	k.	PROPN
ijassa-803	429	11	(	(	PUNCT
ijassa-803	429	12	2015	2015	NUM
ijassa-803	429	13	)	)	PUNCT
ijassa-803	429	14	cardiovascular	cardiovascular	ADJ
ijassa-803	429	15	and	and	CCONJ
ijassa-803	429	16	diabetes	diabetes	NOUN
ijassa-803	429	17	focused	focus	VERB
ijassa-803	429	18	remote	remote	ADJ
ijassa-803	429	19	patient	patient	ADJ
ijassa-803	429	20	monitoring	monitoring	NOUN
ijassa-803	429	21	.	.	PUNCT
ijassa-803	430	1	in	in	ADP
ijassa-803	430	2	:	:	PUNCT
ijassa-803	430	3	braidot	braidot	NOUN
ijassa-803	430	4	a.	a.	NOUN
ijassa-803	430	5	,	,	PUNCT
ijassa-803	430	6	hadad	hadad	PROPN
ijassa-803	430	7	a.	a.	PROPN
ijassa-803	430	8	(	(	PUNCT
ijassa-803	430	9	eds	eds	PROPN
ijassa-803	430	10	)	)	PUNCT
ijassa-803	430	11	vi	vi	NOUN
ijassa-803	430	12	latin	latin	ADJ
ijassa-803	430	13	american	american	ADJ
ijassa-803	430	14	congress	congress	PROPN
ijassa-803	430	15	on	on	ADP
ijassa-803	430	16	biomedical	biomedical	ADJ
ijassa-803	430	17	engineering	engineering	NOUN
ijassa-803	430	18	claib	claib	PROPN
ijassa-803	430	19	2014	2014	NUM
ijassa-803	430	20	,	,	PUNCT
ijassa-803	430	21	ifmbe	ifmbe	NOUN
ijassa-803	430	22	proceedings	proceeding	NOUN
ijassa-803	430	23	,	,	PUNCT
ijassa-803	430	24	49	49	NUM
ijassa-803	430	25	.	.	PUNCT
ijassa-803	431	1	3	3	X
ijassa-803	431	2	.	.	X
ijassa-803	431	3	la	la	PROPN
ijassa-803	431	4	gonzalez	gonzalez	PROPN
ijassa-803	431	5	,	,	PUNCT
ijassa-803	431	6	gj	gj	PROPN
ijassa-803	431	7	bishop	bishop	NOUN
ijassa-803	431	8	-	-	PUNCT
ijassa-803	431	9	hurley	hurley	PROPN
ijassa-803	431	10	,	,	PUNCT
ijassa-803	431	11	rn	rn	PROPN
ijassa-803	431	12	handcock	handcock	NOUN
ijassa-803	431	13	,	,	PUNCT
ijassa-803	431	14	and	and	CCONJ
ijassa-803	431	15	c	c	PROPN
ijassa-803	431	16	crossman	crossman	NOUN
ijassa-803	431	17	(	(	PUNCT
ijassa-803	431	18	2015	2015	NUM
ijassa-803	431	19	)	)	PUNCT
ijassa-803	431	20	.	.	PUNCT
ijassa-803	432	1	behavioral	behavioral	ADJ
ijassa-803	432	2	classification	classification	NOUN
ijassa-803	432	3	of	of	ADP
ijassa-803	432	4	data	datum	NOUN
ijassa-803	432	5	from	from	ADP
ijassa-803	432	6	collars	collar	NOUN
ijassa-803	432	7	containing	contain	VERB
ijassa-803	432	8	motion	motion	NOUN
ijassa-803	432	9	sensors	sensor	NOUN
ijassa-803	432	10	in	in	ADP
ijassa-803	432	11	grazing	grazing	NOUN
ijassa-803	432	12	cattle	cattle	NOUN
ijassa-803	432	13	,	,	PUNCT
ijassa-803	432	14	computers	computer	NOUN
ijassa-803	432	15	and	and	CCONJ
ijassa-803	432	16	electronics	electronic	NOUN
ijassa-803	432	17	in	in	ADP
ijassa-803	432	18	agriculture	agriculture	NOUN
ijassa-803	432	19	,	,	PUNCT
ijassa-803	432	20	110	110	NUM
ijassa-803	432	21	,	,	PUNCT
ijassa-803	432	22	pp	pp	ADJ
ijassa-803	432	23	.	.	PUNCT
ijassa-803	433	1	91–102	91–102	NUM
ijassa-803	433	2	,	,	PUNCT
ijassa-803	433	3	4	4	NUM
ijassa-803	433	4	.	.	X
ijassa-803	433	5	l.chhaya	l.chhaya	NOUN
ijassa-803	433	6	,	,	PUNCT
ijassa-803	433	7	p.	p.	PROPN
ijassa-803	433	8	sharma	sharma	PROPN
ijassa-803	433	9	,	,	PUNCT
ijassa-803	433	10	g.	g.	PROPN
ijassa-803	433	11	bhagwatikar	bhagwatikar	NOUN
ijassa-803	433	12	,	,	PUNCT
ijassa-803	433	13	and	and	CCONJ
ijassa-803	433	14	a.	a.	PROPN
ijassa-803	433	15	kumar	kumar	PROPN
ijassa-803	433	16	(	(	PUNCT
ijassa-803	433	17	2017	2017	NUM
ijassa-803	433	18	)	)	PUNCT
ijassa-803	433	19	,	,	PUNCT
ijassa-803	433	20	wireless	wireless	ADJ
ijassa-803	433	21	sensor	sensor	NOUN
ijassa-803	433	22	network	network	NOUN
ijassa-803	433	23	based	base	VERB
ijassa-803	433	24	smart	smart	ADJ
ijassa-803	433	25	grid	grid	NOUN
ijassa-803	433	26	communications	communication	NOUN
ijassa-803	433	27	:	:	PUNCT
ijassa-803	433	28	cyber	cyber	NOUN
ijassa-803	433	29	attacks	attack	NOUN
ijassa-803	433	30	,	,	PUNCT
ijassa-803	433	31	intrusion	intrusion	NOUN
ijassa-803	433	32	detection	detection	NOUN
ijassa-803	433	33	system	system	NOUN
ijassa-803	433	34	and	and	CCONJ
ijassa-803	433	35	topology	topology	NOUN
ijassa-803	433	36	control	control	NOUN
ijassa-803	433	37	,	,	PUNCT
ijassa-803	433	38	electronics	electronic	NOUN
ijassa-803	433	39	,	,	PUNCT
ijassa-803	433	40	6(1	6(1	NUM
ijassa-803	433	41	)	)	PUNCT
ijassa-803	433	42	,	,	PUNCT
ijassa-803	433	43	p.	p.	NOUN
ijassa-803	433	44	5	5	NUM
ijassa-803	433	45	.	.	X
ijassa-803	433	46	5	5	NUM
ijassa-803	433	47	.	.	PUNCT
ijassa-803	434	1	hong	hong	PROPN
ijassa-803	434	2	-	-	PUNCT
ijassa-803	434	3	nan	nan	PROPN
ijassa-803	434	4	li	li	PROPN
ijassa-803	434	5	,	,	PUNCT
ijassa-803	434	6	ting	ting	PROPN
ijassa-803	434	7	-	-	PUNCT
ijassa-803	434	8	hua	hua	PROPN
ijassa-803	434	9	yi	yi	PROPN
ijassa-803	434	10	,	,	PUNCT
ijassa-803	434	11	liang	liang	PROPN
ijassa-803	434	12	ren	ren	PROPN
ijassa-803	434	13	,	,	PUNCT
ijassa-803	434	14	dong	dong	PROPN
ijassa-803	434	15	-	-	PUNCT
ijassa-803	434	16	sheng	sheng	PROPN
ijassa-803	434	17	li	li	PROPN
ijassa-803	434	18	,	,	PUNCT
ijassa-803	434	19	and	and	CCONJ
ijassa-803	434	20	lin	lin	PROPN
ijassa-803	434	21	-	-	PUNCT
ijassa-803	434	22	shen	shen	PROPN
ijassa-803	434	23	huo	huo	PROPN
ijassa-803	434	24	(	(	PUNCT
ijassa-803	434	25	2014	2014	NUM
ijassa-803	434	26	)	)	PUNCT
ijassa-803	434	27	.	.	PUNCT
ijassa-803	435	1	reviews	review	NOUN
ijassa-803	435	2	on	on	ADP
ijassa-803	435	3	innovations	innovation	NOUN
ijassa-803	435	4	and	and	CCONJ
ijassa-803	435	5	applications	application	NOUN
ijassa-803	435	6	in	in	ADP
ijassa-803	435	7	structural	structural	ADJ
ijassa-803	435	8	health	health	NOUN
ijassa-803	435	9	monitoring	monitoring	NOUN
ijassa-803	435	10	for	for	ADP
ijassa-803	435	11	infrastructures	infrastructure	NOUN
ijassa-803	435	12	,	,	PUNCT
ijassa-803	435	13	structural	structural	ADJ
ijassa-803	435	14	monitoring	monitoring	NOUN
ijassa-803	435	15	and	and	CCONJ
ijassa-803	435	16	maintenance	maintenance	NOUN
ijassa-803	435	17	,	,	PUNCT
ijassa-803	435	18	1(1	1(1	NUM
ijassa-803	435	19	)	)	PUNCT
ijassa-803	435	20	,	,	PUNCT
ijassa-803	435	21	1–45	1–45	NUM
ijassa-803	435	22	.	.	PUNCT
ijassa-803	436	1	6	6	NUM
ijassa-803	436	2	.	.	X
ijassa-803	436	3	joseph	joseph	PROPN
ijassa-803	436	4	azar	azar	PROPN
ijassa-803	436	5	,	,	PUNCT
ijassa-803	436	6	abdallah	abdallah	PROPN
ijassa-803	436	7	makhoul	makhoul	PROPN
ijassa-803	436	8	,	,	PUNCT
ijassa-803	436	9	mahmoud	mahmoud	PROPN
ijassa-803	436	10	barhamgi	barhamgi	PROPN
ijassa-803	436	11	,	,	PUNCT
ijassa-803	436	12	raphael	raphael	PROPN
ijassa-803	436	13	couturier	couturier	PROPN
ijassa-803	436	14	(	(	PUNCT
ijassa-803	436	15	2019	2019	NUM
ijassa-803	436	16	)	)	PUNCT
ijassa-803	436	17	,	,	PUNCT
ijassa-803	436	18	future	future	ADJ
ijassa-803	436	19	generation	generation	NOUN
ijassa-803	436	20	computer	computer	NOUN
ijassa-803	436	21	systems	system	NOUN
ijassa-803	436	22	,	,	PUNCT
ijassa-803	436	23	96	96	NUM
ijassa-803	436	24	,	,	PUNCT
ijassa-803	436	25	pp	pp	ADJ
ijassa-803	436	26	.	.	PUNCT
ijassa-803	437	1	168	168	NUM
ijassa-803	437	2	-	-	SYM
ijassa-803	437	3	175	175	NUM
ijassa-803	437	4	.	.	PUNCT
ijassa-803	438	1	7	7	X
ijassa-803	438	2	.	.	PUNCT
ijassa-803	438	3	kenneth	kenneth	PROPN
ijassa-803	438	4	c	c	PROPN
ijassa-803	438	5	barr	barr	PROPN
ijassa-803	438	6	and	and	CCONJ
ijassa-803	438	7	krste	krste	PROPN
ijassa-803	438	8	asanovic	asanovic	PROPN
ijassa-803	438	9	(	(	PUNCT
ijassa-803	438	10	2006	2006	NUM
ijassa-803	438	11	)	)	PUNCT
ijassa-803	438	12	.	.	PUNCT
ijassa-803	439	1	energy	energy	NOUN
ijassa-803	439	2	-	-	PUNCT
ijassa-803	439	3	aware	aware	ADJ
ijassa-803	439	4	lossless	lossless	PROPN
ijassa-803	439	5	data	datum	NOUN
ijassa-803	439	6	compression	compression	NOUN
ijassa-803	439	7	,	,	PUNCT
ijassa-803	439	8	acm	acm	NOUN
ijassa-803	439	9	transactions	transaction	NOUN
ijassa-803	439	10	on	on	ADP
ijassa-803	439	11	computer	computer	NOUN
ijassa-803	439	12	systems	system	NOUN
ijassa-803	439	13	(	(	PUNCT
ijassa-803	439	14	tocs	toc	NOUN
ijassa-803	439	15	)	)	PUNCT
ijassa-803	439	16	,	,	PUNCT
ijassa-803	439	17	24(3):250–291	24(3):250–291	NUM
ijassa-803	439	18	.	.	NOUN
ijassa-803	439	19	8	8	NUM
ijassa-803	439	20	.	.	PUNCT
ijassa-803	440	1	c.	c.	PROPN
ijassa-803	440	2	x.	x.	PROPN
ijassa-803	440	3	wang	wang	PROPN
ijassa-803	440	4	,	,	PUNCT
ijassa-803	440	5	d.	d.	PROPN
ijassa-803	440	6	yuan	yuan	PROPN
ijassa-803	440	7	,	,	PUNCT
ijassa-803	440	8	h.	h.	PROPN
ijassa-803	440	9	h.	h.	PROPN
ijassa-803	440	10	chen	chen	PROPN
ijassa-803	440	11	,	,	PUNCT
ijassa-803	440	12	and	and	CCONJ
ijassa-803	440	13	w.	w.	PROPN
ijassa-803	440	14	xu	xu	PROPN
ijassa-803	440	15	(	(	PUNCT
ijassa-803	440	16	2008	2008	NUM
ijassa-803	440	17	)	)	PUNCT
ijassa-803	440	18	.	.	PUNCT
ijassa-803	441	1	an	an	DET
ijassa-803	441	2	improved	improve	VERB
ijassa-803	441	3	deterministic	deterministic	ADJ
ijassa-803	441	4	sos	sos	NOUN
ijassa-803	441	5	channel	channel	NOUN
ijassa-803	441	6	simulator	simulator	NOUN
ijassa-803	441	7	for	for	ADP
ijassa-803	441	8	multiple	multiple	ADJ
ijassa-803	441	9	uncorrelated	uncorrelated	ADJ
ijassa-803	441	10	ravleigh	ravleigh	ADJ
ijassa-803	441	11	fading	fade	VERB
ijassa-803	441	12	channels	channel	NOUN
ijassa-803	441	13	,	,	PUNCT
ijassa-803	441	14	ieee	ieee	NOUN
ijassa-803	441	15	transactions	transaction	NOUN
ijassa-803	441	16	on	on	ADP
ijassa-803	441	17	wireless	wireless	ADJ
ijassa-803	441	18	communications	communication	NOUN
ijassa-803	441	19	,	,	PUNCT
ijassa-803	441	20	7(9	7(9	NUM
ijassa-803	441	21	)	)	PUNCT
ijassa-803	441	22	,	,	PUNCT
ijassa-803	441	23	pp.3307–3311	pp.3307–3311	PROPN
ijassa-803	441	24	.	.	PUNCT
ijassa-803	442	1	9	9	NUM
ijassa-803	442	2	.	.	X
ijassa-803	442	3	x.	x.	NOUN
ijassa-803	442	4	cheng	cheng	PROPN
ijassa-803	442	5	,	,	PUNCT
ijassa-803	442	6	c.	c.	PROPN
ijassa-803	442	7	x.	x.	PROPN
ijassa-803	442	8	wang	wang	PROPN
ijassa-803	442	9	,	,	PUNCT
ijassa-803	442	10	h.	h.	PROPN
ijassa-803	442	11	wang	wang	PROPN
ijassa-803	442	12	et	et	PROPN
ijassa-803	442	13	al	al	PROPN
ijassa-803	442	14	.	.	PROPN
ijassa-803	442	15	(	(	PUNCT
ijassa-803	442	16	2012	2012	NUM
ijassa-803	442	17	)	)	PUNCT
ijassa-803	442	18	.	.	PUNCT
ijassa-803	443	1	cooperative	cooperative	ADJ
ijassa-803	443	2	mimo	mimo	PROPN
ijassa-803	443	3	channel	channel	PROPN
ijassa-803	443	4	modeling	modeling	NOUN
ijassa-803	443	5	and	and	CCONJ
ijassa-803	443	6	multi	multi	ADJ
ijassa-803	443	7	-	-	ADJ
ijassa-803	443	8	link	link	ADJ
ijassa-803	443	9	spatial	spatial	ADJ
ijassa-803	443	10	correlation	correlation	NOUN
ijassa-803	443	11	properties	property	NOUN
ijassa-803	443	12	,	,	PUNCT
ijassa-803	443	13	ieee	ieee	NOUN
ijassa-803	443	14	journal	journal	NOUN
ijassa-803	443	15	on	on	ADP
ijassa-803	443	16	selected	select	VERB
ijassa-803	443	17	areas	area	NOUN
ijassa-803	443	18	in	in	ADP
ijassa-803	443	19	communications	communication	NOUN
ijassa-803	443	20	,	,	PUNCT
ijassa-803	443	21	30(2	30(2	NUM
ijassa-803	443	22	)	)	PUNCT
ijassa-803	443	23	,	,	PUNCT
ijassa-803	443	24	pp.388–396	pp.388–396	PROPN
ijassa-803	443	25	.	.	PROPN
ijassa-803	443	26	10	10	NUM
ijassa-803	443	27	.	.	PUNCT
ijassa-803	444	1	c.x.wang	c.x.wang	PROPN
ijassa-803	444	2	,	,	PUNCT
ijassa-803	444	3	x.hong	x.hong	PROPN
ijassa-803	444	4	,	,	PUNCT
ijassa-803	444	5	h.h.chen	h.h.chen	ADV
ijassa-803	444	6	,	,	PUNCT
ijassa-803	444	7	and	and	CCONJ
ijassa-803	444	8	j.thompson	j.thompson	NOUN
ijassa-803	444	9	(	(	PUNCT
ijassa-803	444	10	2009	2009	NUM
ijassa-803	444	11	)	)	PUNCT
ijassa-803	444	12	.	.	PUNCT
ijassa-803	445	1	on	on	ADP
ijassa-803	445	2	capacity	capacity	NOUN
ijassa-803	445	3	of	of	ADP
ijassa-803	445	4	cognitive	cognitive	ADJ
ijassa-803	445	5	radio	radio	NOUN
ijassa-803	445	6	networks	network	NOUN
ijassa-803	445	7	with	with	ADP
ijassa-803	445	8	average	average	ADJ
ijassa-803	445	9	interference	interference	NOUN
ijassa-803	445	10	power	power	NOUN
ijassa-803	445	11	constraints	constraint	NOUN
ijassa-803	445	12	,	,	PUNCT
ijassa-803	445	13	ieee	ieee	NOUN
ijassa-803	445	14	transactions	transaction	NOUN
ijassa-803	445	15	on	on	ADP
ijassa-803	445	16	wireless	wireless	ADJ
ijassa-803	445	17	communications	communication	NOUN
ijassa-803	445	18	,	,	PUNCT
ijassa-803	445	19	8	8	NUM
ijassa-803	445	20	(	(	PUNCT
ijassa-803	445	21	4	4	NUM
ijassa-803	445	22	)	)	PUNCT
ijassa-803	445	23	,	,	PUNCT
ijassa-803	445	24	pp.1620–1625	pp.1620–1625	NOUN
ijassa-803	445	25	.	.	NOUN
ijassa-803	445	26	11	11	NUM
ijassa-803	445	27	.	.	PUNCT
ijassa-803	445	28	q.	q.	PROPN
ijassa-803	445	29	ni	ni	PROPN
ijassa-803	445	30	and	and	CCONJ
ijassa-803	445	31	c.	c.	PROPN
ijassa-803	445	32	zarakovitis	zarakovitis	PROPN
ijassa-803	445	33	(	(	PUNCT
ijassa-803	445	34	2012	2012	NUM
ijassa-803	445	35	)	)	PUNCT
ijassa-803	445	36	.	.	PUNCT
ijassa-803	446	1	nash	nash	NOUN
ijassa-803	446	2	bargaining	bargaining	NOUN
ijassa-803	446	3	game	game	NOUN
ijassa-803	446	4	theoretic	theoretic	NOUN
ijassa-803	446	5	scheduling	scheduling	NOUN
ijassa-803	446	6	for	for	ADP
ijassa-803	446	7	joint	joint	ADJ
ijassa-803	446	8	channel	channel	NOUN
ijassa-803	446	9	and	and	CCONJ
ijassa-803	446	10	power	power	NOUN
ijassa-803	446	11	allocation	allocation	NOUN
ijassa-803	446	12	in	in	ADP
ijassa-803	446	13	cognitive	cognitive	ADJ
ijassa-803	446	14	radio	radio	NOUN
ijassa-803	446	15	system	system	NOUN
ijassa-803	446	16	,	,	PUNCT
ijassa-803	446	17	ieee	ieee	NOUN
ijassa-803	446	18	journal	journal	NOUN
ijassa-803	446	19	on	on	ADP
ijassa-803	446	20	selected	select	VERB
ijassa-803	446	21	areas	area	NOUN
ijassa-803	446	22	in	in	ADP
ijassa-803	446	23	communications,30	communications,30	PROPN
ijassa-803	446	24	(	(	PUNCT
ijassa-803	446	25	1),pp.70–81	1),pp.70–81	NUM
ijassa-803	446	26	.	.	NOUN
ijassa-803	446	27	12	12	NUM
ijassa-803	446	28	.	.	PUNCT
ijassa-803	447	1	s.bai	s.bai	PROPN
ijassa-803	447	2	,	,	PUNCT
ijassa-803	447	3	w.y.zhang	w.y.zhang	PROPN
ijassa-803	447	4	,	,	PUNCT
ijassa-803	447	5	g.l.xue	g.l.xue	PROPN
ijassa-803	447	6	,	,	PUNCT
ijassa-803	447	7	j.tang	j.tang	NOUN
ijassa-803	447	8	,	,	PUNCT
ijassa-803	447	9	and	and	CCONJ
ijassa-803	447	10	c.g.wang	c.g.wang	PROPN
ijassa-803	447	11	(	(	PUNCT
ijassa-803	447	12	2012	2012	NUM
ijassa-803	447	13	)	)	PUNCT
ijassa-803	447	14	.	.	PUNCT
ijassa-803	448	1	dear	dear	ADJ
ijassa-803	448	2	:	:	PUNCT
ijassa-803	448	3	delay	delay	NOUN
ijassa-803	448	4	-	-	PUNCT
ijassa-803	448	5	bounded	bound	VERB
ijassa-803	448	6	energy	energy	NOUN
ijassa-803	448	7	-	-	PUNCT
ijassa-803	448	8	constrained	constrain	VERB
ijassa-803	448	9	adaptive	adaptive	ADJ
ijassa-803	448	10	routing	routing	NOUN
ijassa-803	448	11	in	in	ADP
ijassa-803	448	12	wireless	wireless	ADJ
ijassa-803	448	13	sensor	sensor	NOUN
ijassa-803	448	14	networks	network	NOUN
ijassa-803	448	15	,	,	PUNCT
ijassa-803	448	16	in	in	ADP
ijassa-803	448	17	proceedings	proceeding	NOUN
ijassa-803	448	18	of	of	ADP
ijassa-803	448	19	the	the	DET
ijassa-803	448	20	31st	31st	ADJ
ijassa-803	448	21	annual	annual	ADJ
ijassa-803	448	22	ieee	ieee	NOUN
ijassa-803	448	23	international	international	PROPN
ijassa-803	448	24	conference	conference	NOUN
ijassa-803	448	25	on	on	ADP
ijassa-803	448	26	computer	computer	NOUN
ijassa-803	448	27	communications	communication	NOUN
ijassa-803	448	28	(	(	PUNCT
ijassa-803	448	29	infocom	infocom	X
ijassa-803	448	30	’	'	PUNCT
ijassa-803	448	31	12	12	NUM
ijassa-803	448	32	)	)	PUNCT
ijassa-803	448	33	,	,	PUNCT
ijassa-803	448	34	pp.1593–1601	pp.1593–1601	PROPN
ijassa-803	448	35	.	.	PROPN
ijassa-803	448	36	13	13	NUM
ijassa-803	448	37	.	.	PUNCT
ijassa-803	449	1	j.kabaraand	j.kabaraand	PROPN
ijassa-803	449	2	m.calle	m.calle	NOUN
ijassa-803	449	3	(	(	PUNCT
ijassa-803	449	4	2012	2012	NUM
ijassa-803	449	5	)	)	PUNCT
ijassa-803	449	6	,	,	PUNCT
ijassa-803	449	7	mac	mac	PROPN
ijassa-803	449	8	protocols	protocol	NOUN
ijassa-803	449	9	used	use	VERB
ijassa-803	449	10	by	by	ADP
ijassa-803	449	11	wireless	wireless	ADJ
ijassa-803	449	12	sensor	sensor	NOUN
ijassa-803	449	13	networks	network	NOUN
ijassa-803	449	14	and	and	CCONJ
ijassa-803	449	15	a	a	DET
ijassa-803	449	16	general	general	ADJ
ijassa-803	449	17	method	method	NOUN
ijassa-803	449	18	of	of	ADP
ijassa-803	449	19	performance	performance	NOUN
ijassa-803	449	20	evaluation	evaluation	NOUN
ijassa-803	449	21	,	,	PUNCT
ijassa-803	449	22	international	international	ADJ
ijassa-803	449	23	journal	journal	NOUN
ijassa-803	449	24	of	of	ADP
ijassa-803	449	25	distributed	distribute	VERB
ijassa-803	449	26	sensor	sensor	NOUN
ijassa-803	449	27	networks	network	NOUN
ijassa-803	449	28	,	,	PUNCT
ijassa-803	449	29	articleid	articleid	PROPN
ijassa-803	449	30	834784,11	834784,11	PROPN
ijassa-803	449	31	pages	page	NOUN
ijassa-803	449	32	.	.	PUNCT
ijassa-803	450	1	14	14	NUM
ijassa-803	450	2	.	.	PUNCT
ijassa-803	451	1	l.	l.	PROPN
ijassa-803	451	2	zhang	zhang	PROPN
ijassa-803	451	3	and	and	CCONJ
ijassa-803	451	4	y.	y.	PROPN
ijassa-803	451	5	zhang	zhang	PROPN
ijassa-803	451	6	(	(	PUNCT
ijassa-803	451	7	2009	2009	NUM
ijassa-803	451	8	)	)	PUNCT
ijassa-803	451	9	,	,	PUNCT
ijassa-803	451	10	energy	energy	NOUN
ijassa-803	451	11	-	-	PUNCT
ijassa-803	451	12	efficient	efficient	ADJ
ijassa-803	451	13	cross	cross	ADJ
ijassa-803	451	14	-	-	ADJ
ijassa-803	451	15	layer	layer	ADJ
ijassa-803	451	16	protocol	protocol	NOUN
ijassa-803	451	17	of	of	ADP
ijassa-803	451	18	channel	channel	NOUN
ijassa-803	451	19	-	-	PUNCT
ijassa-803	451	20	aware	aware	ADJ
ijassa-803	451	21	geographic	geographic	ADV
ijassa-803	451	22	-	-	PUNCT
ijassa-803	451	23	informed	inform	VERB
ijassa-803	451	24	forwarding	forwarding	NOUN
ijassa-803	451	25	in	in	ADP
ijassa-803	451	26	wireless	wireless	ADJ
ijassa-803	451	27	sensor	sensor	NOUN
ijassa-803	451	28	networks	network	NOUN
ijassa-803	451	29	,	,	PUNCT
ijassa-803	451	30	ieee	ieee	NOUN
ijassa-803	451	31	transactions	transaction	NOUN
ijassa-803	451	32	on	on	ADP
ijassa-803	451	33	vehicular	vehicular	ADJ
ijassa-803	451	34	technology	technology	NOUN
ijassa-803	451	35	,	,	PUNCT
ijassa-803	451	36	58(6	58(6	NOUN
ijassa-803	451	37	)	)	PUNCT
ijassa-803	451	38	,	,	PUNCT
ijassa-803	451	39	pp.3041–3052	pp.3041–3052	PROPN
ijassa-803	451	40	.	.	PROPN
ijassa-803	452	1	15	15	NUM
ijassa-803	452	2	.	.	PUNCT
ijassa-803	453	1	chugh	chugh	NOUN
ijassa-803	453	2	,	,	PUNCT
ijassa-803	453	3	amit	amit	PROPN
ijassa-803	453	4	;	;	PUNCT
ijassa-803	453	5	panda	panda	NOUN
ijassa-803	453	6	,	,	PUNCT
ijassa-803	453	7	supriya	supriya	PROPN
ijassa-803	453	8	(	(	PUNCT
ijassa-803	453	9	2019	2019	NUM
ijassa-803	453	10	)	)	PUNCT
ijassa-803	453	11	,	,	PUNCT
ijassa-803	453	12	energy	energy	NOUN
ijassa-803	453	13	efficient	efficient	ADJ
ijassa-803	453	14	techniques	technique	NOUN
ijassa-803	453	15	in	in	ADP
ijassa-803	453	16	wireless	wireless	ADJ
ijassa-803	453	17	sensor	sensor	NOUN
ijassa-803	453	18	networks	network	NOUN
ijassa-803	453	19	,	,	PUNCT
ijassa-803	453	20	recent	recent	ADJ
ijassa-803	453	21	patents	patent	NOUN
ijassa-803	453	22	on	on	ADP
ijassa-803	453	23	engineering	engineering	NOUN
ijassa-803	453	24	,	,	PUNCT
ijassa-803	453	25	13	13	NUM
ijassa-803	453	26	(	(	PUNCT
ijassa-803	453	27	1),pp	1),pp	NUM
ijassa-803	453	28	.	.	PUNCT
ijassa-803	454	1	13	13	NUM
ijassa-803	454	2	-	-	SYM
ijassa-803	454	3	19	19	NUM
ijassa-803	454	4	.	.	NOUN
ijassa-803	454	5	16	16	NUM
ijassa-803	454	6	.	.	PUNCT
ijassa-803	454	7	abhishek	abhishek	PROPN
ijassa-803	454	8	tiwari	tiwari	PROPN
ijassa-803	454	9	,	,	PUNCT
ijassa-803	454	10	tiago	tiago	PROPN
ijassa-803	454	11	h.	h.	PROPN
ijassa-803	454	12	falk	falk	PROPN
ijassa-803	454	13	,	,	PUNCT
ijassa-803	454	14	(	(	PUNCT
ijassa-803	454	15	2019	2019	NUM
ijassa-803	454	16	)	)	PUNCT
ijassa-803	454	17	lossless	lossless	PROPN
ijassa-803	454	18	electrocardiogram	electrocardiogram	NOUN
ijassa-803	454	19	signal	signal	PROPN
ijassa-803	454	20	compression	compression	NOUN
ijassa-803	454	21	:	:	PUNCT
ijassa-803	454	22	a	a	DET
ijassa-803	454	23	review	review	NOUN
ijassa-803	454	24	of	of	ADP
ijassa-803	454	25	existing	exist	VERB
ijassa-803	454	26	methods	method	NOUN
ijassa-803	454	27	,	,	PUNCT
ijassa-803	454	28	biomedical	biomedical	ADJ
ijassa-803	454	29	signal	signal	NOUN
ijassa-803	454	30	processing	processing	NOUN
ijassa-803	454	31	and	and	CCONJ
ijassa-803	454	32	control	control	NOUN
ijassa-803	454	33	,	,	PUNCT
ijassa-803	454	34	51	51	NUM
ijassa-803	454	35	,	,	PUNCT
ijassa-803	454	36	pp	pp	ADJ
ijassa-803	454	37	.	.	PUNCT
ijassa-803	455	1	338	338	NUM
ijassa-803	455	2	-	-	SYM
ijassa-803	455	3	346	346	NUM
ijassa-803	455	4	a	a	DET
ijassa-803	455	5	novel	novel	ADJ
ijassa-803	455	6	enriched	enrich	VERB
ijassa-803	455	7	lasso	lasso	NOUN
ijassa-803	455	8	based	base	VERB
ijassa-803	455	9	compression	compression	NOUN
ijassa-803	455	10	technique	technique	NOUN
ijassa-803	455	11	for	for	SCONJ
ijassa-803	455	12	energy	energy	NOUN
ijassa-803	455	13	efficient	efficient	ADJ
ijassa-803	455	14	wireless	wireless	ADJ
ijassa-803	455	15	sensor	sensor	NOUN
ijassa-803	455	16	networks	network	VERB
ijassa-803	455	17	81	81	NUM
ijassa-803	455	18	copyright	copyright	NOUN
ijassa-803	455	19	©	©	PROPN
ijassa-803	455	20	2020	2020	NUM
ijassa-803	455	21	assa	assa	PROPN
ijassa-803	455	22	adv	adv	PROPN
ijassa-803	455	23	.	.	PUNCT
ijassa-803	456	1	in	in	ADP
ijassa-803	456	2	systems	system	NOUN
ijassa-803	456	3	science	science	NOUN
ijassa-803	456	4	and	and	CCONJ
ijassa-803	456	5	appl	appl	NOUN
ijassa-803	456	6	.	.	PUNCT
ijassa-803	457	1	(	(	PUNCT
ijassa-803	457	2	2020	2020	NUM
ijassa-803	457	3	)	)	PUNCT
ijassa-803	457	4	17	17	NUM
ijassa-803	457	5	.	.	PUNCT
ijassa-803	458	1	wenyu	wenyu	PROPN
ijassa-803	458	2	cai	cai	PROPN
ijassa-803	458	3	,	,	PUNCT
ijassa-803	458	4	meiyan	meiyan	PROPN
ijassa-803	458	5	zhang	zhang	PROPN
ijassa-803	458	6	(	(	PUNCT
ijassa-803	458	7	2018	2018	NUM
ijassa-803	458	8	)	)	PUNCT
ijassa-803	458	9	,	,	PUNCT
ijassa-803	458	10	spatiotemporal	spatiotemporal	ADJ
ijassa-803	458	11	correlation	correlation	NOUN
ijassa-803	458	12	–	–	PUNCT
ijassa-803	458	13	based	base	VERB
ijassa-803	458	14	adaptive	adaptive	ADJ
ijassa-803	458	15	sampling	sample	VERB
ijassa-803	458	16	algorithm	algorithm	NOUN
ijassa-803	458	17	for	for	ADP
ijassa-803	458	18	clustered	clustered	ADJ
ijassa-803	458	19	wireless	wireless	ADJ
ijassa-803	458	20	sensor	sensor	NOUN
ijassa-803	458	21	network	network	NOUN
ijassa-803	458	22	,	,	PUNCT
ijassa-803	458	23	international	international	ADJ
ijassa-803	458	24	journal	journal	NOUN
ijassa-803	458	25	of	of	ADP
ijassa-803	458	26	distributed	distribute	VERB
ijassa-803	458	27	sensor	sensor	NOUN
ijassa-803	458	28	networks	network	NOUN
ijassa-803	458	29	,	,	PUNCT
ijassa-803	458	30	14	14	NUM
ijassa-803	458	31	(	(	PUNCT
ijassa-803	458	32	8)	8)	NUM
ijassa-803	458	33	.	.	NOUN
ijassa-803	458	34	18	18	NUM
ijassa-803	458	35	.	.	X
ijassa-803	458	36	mou	mou	PROPN
ijassa-803	458	37	wu	wu	PROPN
ijassa-803	458	38	,	,	PUNCT
ijassa-803	458	39	liansheng	liansheng	PROPN
ijassa-803	458	40	tan	tan	PROPN
ijassa-803	458	41	,	,	PUNCT
ijassa-803	458	42	naixue	naixue	PROPN
ijassa-803	458	43	xiong	xiong	PROPN
ijassa-803	458	44	(	(	PUNCT
ijassa-803	458	45	2016	2016	NUM
ijassa-803	458	46	)	)	PUNCT
ijassa-803	458	47	,	,	PUNCT
ijassa-803	458	48	data	datum	NOUN
ijassa-803	458	49	prediction	prediction	NOUN
ijassa-803	458	50	,	,	PUNCT
ijassa-803	458	51	compression	compression	NOUN
ijassa-803	458	52	,	,	PUNCT
ijassa-803	458	53	and	and	CCONJ
ijassa-803	458	54	recovery	recovery	NOUN
ijassa-803	458	55	in	in	ADP
ijassa-803	458	56	clustered	clustered	ADJ
ijassa-803	458	57	wireless	wireless	ADJ
ijassa-803	458	58	sensor	sensor	NOUN
ijassa-803	458	59	networks	network	NOUN
ijassa-803	458	60	for	for	ADP
ijassa-803	458	61	environmental	environmental	ADJ
ijassa-803	458	62	monitoring	monitoring	NOUN
ijassa-803	458	63	applications	application	NOUN
ijassa-803	458	64	,	,	PUNCT
ijassa-803	458	65	information	information	NOUN
ijassa-803	458	66	sciences	science	NOUN
ijassa-803	458	67	,	,	PUNCT
ijassa-803	458	68	329(1	329(1	NUM
ijassa-803	458	69	)	)	PUNCT
ijassa-803	458	70	,	,	PUNCT
ijassa-803	458	71	pp	pp	PROPN
ijassa-803	458	72	.	.	PUNCT
ijassa-803	458	73	800	800	NUM
ijassa-803	458	74	-	-	SYM
ijassa-803	458	75	818	818	NUM
ijassa-803	458	76	.	.	PUNCT
ijassa-803	459	1	19	19	NUM
ijassa-803	459	2	.	.	PUNCT
ijassa-803	459	3	y.	y.	PROPN
ijassa-803	459	4	l.	l.	PROPN
ijassa-803	459	5	borgne	borgne	PROPN
ijassa-803	459	6	and	and	CCONJ
ijassa-803	459	7	g.	g.	PROPN
ijassa-803	459	8	bontempi	bontempi	PROPN
ijassa-803	459	9	(	(	PUNCT
ijassa-803	459	10	2012	2012	NUM
ijassa-803	459	11	)	)	PUNCT
ijassa-803	459	12	,	,	PUNCT
ijassa-803	459	13	time	time	NOUN
ijassa-803	459	14	series	series	PROPN
ijassa-803	459	15	prediction	prediction	NOUN
ijassa-803	459	16	for	for	ADP
ijassa-803	459	17	energy	energy	NOUN
ijassa-803	459	18	-	-	PUNCT
ijassa-803	459	19	efficient	efficient	ADJ
ijassa-803	459	20	wireless	wireless	ADJ
ijassa-803	459	21	sensors	sensor	NOUN
ijassa-803	459	22	:	:	PUNCT
ijassa-803	459	23	applications	application	NOUN
ijassa-803	459	24	to	to	ADP
ijassa-803	459	25	environmental	environmental	ADJ
ijassa-803	459	26	monitoring	monitoring	NOUN
ijassa-803	459	27	and	and	CCONJ
ijassa-803	459	28	videogames	videogame	NOUN
ijassa-803	459	29	,	,	PUNCT
ijassa-803	459	30	in	in	ADP
ijassa-803	459	31	proceedings	proceeding	NOUN
ijassa-803	459	32	of	of	ADP
ijassa-803	459	33	the	the	DET
ijassa-803	459	34	4th	4th	ADJ
ijassa-803	459	35	international	international	ADJ
ijassa-803	459	36	icst	icst	PROPN
ijassa-803	459	37	conference	conference	NOUN
ijassa-803	459	38	on	on	ADP
ijassa-803	459	39	sensor	sensor	NOUN
ijassa-803	459	40	systems	system	NOUN
ijassa-803	459	41	and	and	CCONJ
ijassa-803	459	42	software	software	NOUN
ijassa-803	459	43	(	(	PUNCT
ijassa-803	459	44	scube	scube	NOUN
ijassa-803	459	45	’	'	PUNCT
ijassa-803	459	46	12	12	NUM
ijassa-803	459	47	)	)	PUNCT
ijassa-803	459	48	,	,	PUNCT
ijassa-803	459	49	102	102	NUM
ijassa-803	459	50	,	,	PUNCT
ijassa-803	459	51	pp.63–72	pp.63–72	NOUN
ijassa-803	459	52	.	.	PUNCT
ijassa-803	460	1	20	20	NUM
ijassa-803	460	2	.	.	PUNCT
ijassa-803	461	1	mohamed	mohamed	PROPN
ijassa-803	461	2	mostafa	mostafa	PROPN
ijassa-803	461	3	fouada	fouada	PROPN
ijassa-803	461	4	,	,	PUNCT
ijassa-803	461	5	nour	nour	PROPN
ijassa-803	461	6	e.	e.	PROPN
ijassa-803	461	7	oweisb	oweisb	PROPN
ijassa-803	461	8	,	,	PUNCT
ijassa-803	461	9	tarek	tarek	PROPN
ijassa-803	461	10	gaberb	gaberb	PROPN
ijassa-803	461	11	,	,	PUNCT
ijassa-803	461	12	maamoun	maamoun	PROPN
ijassa-803	461	13	ahmedd	ahmedd	PROPN
ijassa-803	461	14	,	,	PUNCT
ijassa-803	461	15	vaclav	vaclav	ADJ
ijassa-803	461	16	snasel	snasel	NOUN
ijassa-803	461	17	(	(	PUNCT
ijassa-803	461	18	2015	2015	NUM
ijassa-803	461	19	)	)	PUNCT
ijassa-803	461	20	,	,	PUNCT
ijassa-803	461	21	data	data	NOUN
ijassa-803	461	22	mining	mining	NOUN
ijassa-803	461	23	and	and	CCONJ
ijassa-803	461	24	fusion	fusion	NOUN
ijassa-803	461	25	techniques	technique	NOUN
ijassa-803	461	26	for	for	ADP
ijassa-803	461	27	wsns	wsns	NOUN
ijassa-803	461	28	as	as	ADP
ijassa-803	461	29	a	a	DET
ijassa-803	461	30	source	source	NOUN
ijassa-803	461	31	of	of	ADP
ijassa-803	461	32	the	the	DET
ijassa-803	461	33	big	big	ADJ
ijassa-803	461	34	data	datum	NOUN
ijassa-803	461	35	,	,	PUNCT
ijassa-803	461	36	science	science	NOUN
ijassa-803	461	37	direct,5	direct,5	NOUN
ijassa-803	461	38	,	,	PUNCT
ijassa-803	461	39	pp	pp	CCONJ
ijassa-803	461	40	.	.	PUNCT
ijassa-803	462	1	778	778	NUM
ijassa-803	462	2	–	–	PUNCT
ijassa-803	462	3	786	786	NUM
ijassa-803	462	4	.	.	PUNCT
ijassa-803	463	1	21	21	NUM
ijassa-803	463	2	.	.	PUNCT
ijassa-803	464	1	fernando	fernando	PROPN
ijassa-803	464	2	perez	perez	PROPN
ijassa-803	464	3	-	-	PUNCT
ijassa-803	464	4	cruz	cruz	PROPN
ijassa-803	464	5	and	and	CCONJ
ijassa-803	464	6	sanjeev	sanjeev	PROPN
ijassa-803	464	7	r	r	PROPN
ijassa-803	464	8	kulkarni	kulkarni	PROPN
ijassa-803	464	9	(	(	PUNCT
ijassa-803	464	10	2010	2010	NUM
ijassa-803	464	11	)	)	PUNCT
ijassa-803	464	12	.	.	PUNCT
ijassa-803	465	1	robust	robust	ADJ
ijassa-803	465	2	and	and	CCONJ
ijassa-803	465	3	low	low	ADJ
ijassa-803	465	4	complexity	complexity	NOUN
ijassa-803	465	5	distributed	distribute	VERB
ijassa-803	465	6	kernel	kernel	NOUN
ijassa-803	465	7	least	least	ADJ
ijassa-803	465	8	squares	square	NOUN
ijassa-803	465	9	learning	learn	VERB
ijassa-803	465	10	in	in	ADP
ijassa-803	465	11	sensor	sensor	NOUN
ijassa-803	465	12	networks	network	NOUN
ijassa-803	465	13	,	,	PUNCT
ijassa-803	465	14	signal	signal	ADJ
ijassa-803	465	15	processing	processing	NOUN
ijassa-803	465	16	letters	letter	NOUN
ijassa-803	465	17	,	,	PUNCT
ijassa-803	465	18	ieee	ieee	NOUN
ijassa-803	465	19	,	,	PUNCT
ijassa-803	465	20	17(4):355–358	17(4):355–358	PROPN
ijassa-803	465	21	.	.	PUNCT
ijassa-803	466	1	22	22	NUM
ijassa-803	466	2	.	.	PUNCT
ijassa-803	467	1	f.	f.	PROPN
ijassa-803	467	2	kazemeyni	kazemeyni	PROPN
ijassa-803	467	3	,	,	PUNCT
ijassa-803	467	4	e.	e.	PROPN
ijassa-803	467	5	b.	b.	PROPN
ijassa-803	467	6	johnsen	johnsen	PROPN
ijassa-803	467	7	,	,	PUNCT
ijassa-803	467	8	o.	o.	PROPN
ijassa-803	467	9	owe	owe	NOUN
ijassa-803	467	10	,	,	PUNCT
ijassa-803	467	11	and	and	CCONJ
ijassa-803	467	12	i.	i.	PROPN
ijassa-803	467	13	balasingham	balasingham	PROPN
ijassa-803	467	14	(	(	PUNCT
ijassa-803	467	15	2012	2012	NUM
ijassa-803	467	16	)	)	PUNCT
ijassa-803	467	17	,	,	PUNCT
ijassa-803	467	18	mule	mule	NOUN
ijassa-803	467	19	-	-	PUNCT
ijassa-803	467	20	based	base	VERB
ijassa-803	467	21	wireless	wireless	ADJ
ijassa-803	467	22	sensor	sensor	NOUN
ijassa-803	467	23	networks	network	NOUN
ijassa-803	467	24	:	:	PUNCT
ijassa-803	467	25	probabilistic	probabilistic	ADJ
ijassa-803	467	26	modeling	modeling	NOUN
ijassa-803	467	27	and	and	CCONJ
ijassa-803	467	28	quantitative	quantitative	ADJ
ijassa-803	467	29	analysis	analysis	NOUN
ijassa-803	467	30	,	,	PUNCT
ijassa-803	467	31	in	in	ADP
ijassa-803	467	32	proceedings	proceeding	NOUN
ijassa-803	467	33	of	of	ADP
ijassa-803	467	34	the	the	DET
ijassa-803	467	35	10th	10th	ADJ
ijassa-803	467	36	international	international	ADJ
ijassa-803	467	37	conference	conference	NOUN
ijassa-803	467	38	on	on	ADP
ijassa-803	467	39	integrated	integrate	VERB
ijassa-803	467	40	formal	formal	ADJ
ijassa-803	467	41	methods	method	NOUN
ijassa-803	467	42	,	,	PUNCT
ijassa-803	467	43	7321	7321	NUM
ijassa-803	467	44	,	,	PUNCT
ijassa-803	467	45	pp.143–157	pp.143–157	NOUN
ijassa-803	467	46	.	.	PUNCT
ijassa-803	468	1	23	23	NUM
ijassa-803	468	2	.	.	PUNCT
ijassa-803	469	1	j.	j.	PROPN
ijassa-803	469	2	m.	m.	PROPN
ijassa-803	469	3	zhang	zhang	PROPN
ijassa-803	469	4	,	,	PUNCT
ijassa-803	469	5	y.	y.	PROPN
ijassa-803	469	6	p.	p.	PROPN
ijassa-803	469	7	lin	lin	PROPN
ijassa-803	469	8	,	,	PUNCT
ijassa-803	469	9	s.	s.	PROPN
ijassa-803	469	10	w.	w.	PROPN
ijassa-803	469	11	zhou	zhou	PROPN
ijassa-803	469	12	,	,	PUNCT
ijassa-803	469	13	and	and	CCONJ
ijassa-803	469	14	j.	j.	PROPN
ijassa-803	469	15	c.	c.	PROPN
ijassa-803	469	16	ouyang	ouyang	PROPN
ijassa-803	469	17	(	(	PUNCT
ijassa-803	469	18	2010	2010	NUM
ijassa-803	469	19	)	)	PUNCT
ijassa-803	469	20	.	.	PUNCT
ijassa-803	470	1	haar	haar	PROPN
ijassa-803	470	2	wavelet	wavelet	PROPN
ijassa-803	470	3	data	data	PROPN
ijassa-803	470	4	compression	compression	NOUN
ijassa-803	470	5	algorithm	algorithm	NOUN
ijassa-803	470	6	with	with	ADP
ijassa-803	470	7	error	error	NOUN
ijassa-803	470	8	bound	bind	VERB
ijassa-803	470	9	for	for	ADP
ijassa-803	470	10	wireless	wireless	ADJ
ijassa-803	470	11	sensor	sensor	NOUN
ijassa-803	470	12	networks	network	NOUN
ijassa-803	470	13	,	,	PUNCT
ijassa-803	470	14	journal	journal	NOUN
ijassa-803	470	15	of	of	ADP
ijassa-803	470	16	software	software	NOUN
ijassa-803	470	17	,	,	PUNCT
ijassa-803	470	18	21(6	21(6	NOUN
ijassa-803	470	19	)	)	PUNCT
ijassa-803	470	20	,	,	PUNCT
ijassa-803	470	21	pp	pp	ADJ
ijassa-803	470	22	.	.	PUNCT
ijassa-803	470	23	1364–1377	1364–1377	NUM
ijassa-803	470	24	.	.	PUNCT
ijassa-803	471	1	24	24	NUM
ijassa-803	471	2	.	.	PUNCT
ijassa-803	472	1	x.song	x.song	PROPN
ijassa-803	472	2	,	,	PUNCT
ijassa-803	472	3	c.r.wang	c.r.wang	PROPN
ijassa-803	472	4	,	,	PUNCT
ijassa-803	472	5	j.gao	j.gao	PROPN
ijassa-803	472	6	,	,	PUNCT
ijassa-803	472	7	and	and	CCONJ
ijassa-803	472	8	x.hu	x.hu	PROPN
ijassa-803	472	9	(	(	PUNCT
ijassa-803	472	10	2012	2012	NUM
ijassa-803	472	11	)	)	PUNCT
ijassa-803	472	12	.	.	PUNCT
ijassa-803	473	1	dlrdg	dlrdg	NOUN
ijassa-803	473	2	:	:	PUNCT
ijassa-803	474	1	distributed	distribute	VERB
ijassa-803	474	2	linear	linear	PROPN
ijassa-803	474	3	regressionbased	regressionbase	VERB
ijassa-803	474	4	hierarchical	hierarchical	ADJ
ijassa-803	474	5	data	datum	NOUN
ijassa-803	474	6	gathering	gathering	NOUN
ijassa-803	474	7	framework	framework	NOUN
ijassa-803	474	8	in	in	ADP
ijassa-803	474	9	wi	wi	PROPN
ijassa-803	474	10	reless	reless	ADJ
ijassa-803	474	11	sensor	sensor	NOUN
ijassa-803	474	12	network	network	NOUN
ijassa-803	474	13	,	,	PUNCT
ijassa-803	474	14	neural	neural	ADJ
ijassa-803	474	15	computing	computing	NOUN
ijassa-803	474	16	and	and	CCONJ
ijassa-803	474	17	applications	application	NOUN
ijassa-803	474	18	,	,	PUNCT
ijassa-803	474	19	15	15	NUM
ijassa-803	474	20	pages	page	NOUN
ijassa-803	474	21	.	.	PUNCT
ijassa-803	475	1	25	25	NUM
ijassa-803	475	2	.	.	PUNCT
ijassa-803	475	3	m.sadler	m.sadler	NOUN
ijassa-803	475	4	and	and	CCONJ
ijassa-803	475	5	m.martonosi	m.martonosi	NOUN
ijassa-803	475	6	(	(	PUNCT
ijassa-803	475	7	2006	2006	NUM
ijassa-803	475	8	)	)	PUNCT
ijassa-803	475	9	.	.	PUNCT
ijassa-803	476	1	data	datum	NOUN
ijassa-803	476	2	compression	compression	NOUN
ijassa-803	476	3	algorithms	algorithm	NOUN
ijassa-803	476	4	for	for	ADP
ijassa-803	476	5	energyconstrained	energyconstraine	VERB
ijassa-803	476	6	devices	device	NOUN
ijassa-803	476	7	in	in	ADP
ijassa-803	476	8	delay	delay	NOUN
ijassa-803	476	9	tolerant	tolerant	ADJ
ijassa-803	476	10	networks	network	NOUN
ijassa-803	476	11	,	,	PUNCT
ijassa-803	476	12	in	in	ADP
ijassa-803	476	13	proceedings	proceeding	NOUN
ijassa-803	476	14	of	of	ADP
ijassa-803	476	15	the	the	DET
ijassa-803	476	16	4th	4th	ADJ
ijassa-803	476	17	international	international	ADJ
ijassa-803	476	18	conference	conference	NOUN
ijassa-803	476	19	on	on	ADP
ijassa-803	476	20	embedded	embed	VERB
ijassa-803	476	21	networked	networked	ADJ
ijassa-803	476	22	sensor	sensor	NOUN
ijassa-803	476	23	systems(sensys’06),pp.265–278	systems(sensys’06),pp.265–278	NOUN
ijassa-803	476	24	.	.	PUNCT
ijassa-803	477	1	26	26	NUM
ijassa-803	477	2	.	.	X
ijassa-803	478	1	zou	zou	PROPN
ijassa-803	478	2	,	,	PUNCT
ijassa-803	478	3	h.	h.	PROPN
ijassa-803	478	4	,	,	PUNCT
ijassa-803	478	5	hastie	hastie	PROPN
ijassa-803	478	6	,	,	PUNCT
ijassa-803	478	7	t	t	PROPN
ijassa-803	478	8	(	(	PUNCT
ijassa-803	478	9	2005	2005	NUM
ijassa-803	478	10	)	)	PUNCT
ijassa-803	478	11	,	,	PUNCT
ijassa-803	478	12	regularization	regularization	NOUN
ijassa-803	478	13	and	and	CCONJ
ijassa-803	478	14	variable	variable	ADJ
ijassa-803	478	15	selection	selection	NOUN
ijassa-803	478	16	via	via	ADP
ijassa-803	478	17	the	the	DET
ijassa-803	478	18	elastic	elastic	ADJ
ijassa-803	478	19	net	net	NOUN
ijassa-803	478	20	.	.	PUNCT
ijassa-803	479	1	journal	journal	NOUN
ijassa-803	479	2	of	of	ADP
ijassa-803	479	3	the	the	DET
ijassa-803	479	4	royal	royal	ADJ
ijassa-803	479	5	statistical	statistical	ADJ
ijassa-803	479	6	society	society	NOUN
ijassa-803	479	7	:	:	PUNCT
ijassa-803	479	8	series	series	PROPN
ijassa-803	479	9	b	b	PROPN
ijassa-803	479	10	(	(	PUNCT
ijassa-803	479	11	statistical	statistical	ADJ
ijassa-803	479	12	methodology	methodology	NOUN
ijassa-803	479	13	)	)	PUNCT
ijassa-803	479	14	67(2	67(2	NUM
ijassa-803	479	15	)	)	PUNCT
ijassa-803	479	16	,	,	PUNCT
ijassa-803	479	17	pp	pp	ADP
ijassa-803	479	18	.	.	PUNCT
ijassa-803	480	1	301–320	301–320	NUM
ijassa-803	480	2	.	.	NOUN
ijassa-803	480	3	27	27	NUM
ijassa-803	480	4	.	.	X
ijassa-803	480	5	davide	davide	PROPN
ijassa-803	480	6	zordan	zordan	PROPN
ijassa-803	480	7	,	,	PUNCT
ijassa-803	480	8	borja	borja	PROPN
ijassa-803	480	9	martinez	martinez	PROPN
ijassa-803	480	10	,	,	PUNCT
ijassa-803	480	11	ignasi	ignasi	PROPN
ijassa-803	480	12	vilajosana	vilajosana	PROPN
ijassa-803	480	13	and	and	CCONJ
ijassa-803	480	14	michele	michele	PROPN
ijassa-803	480	15	rossi	rossi	PROPN
ijassa-803	480	16	(	(	PUNCT
ijassa-803	480	17	2014	2014	NUM
ijassa-803	480	18	)	)	PUNCT
ijassa-803	480	19	.	.	PUNCT
ijassa-803	481	1	on	on	ADP
ijassa-803	481	2	the	the	DET
ijassa-803	481	3	performance	performance	NOUN
ijassa-803	481	4	of	of	ADP
ijassa-803	481	5	lossy	lossy	ADJ
ijassa-803	481	6	compression	compression	NOUN
ijassa-803	481	7	schemes	scheme	NOUN
ijassa-803	481	8	for	for	ADP
ijassa-803	481	9	energy	energy	NOUN
ijassa-803	481	10	constrained	constrain	VERB
ijassa-803	481	11	sensor	sensor	NOUN
ijassa-803	481	12	networking	networking	NOUN
ijassa-803	481	13	,	,	PUNCT
ijassa-803	481	14	acm	acm	NOUN
ijassa-803	481	15	transactions	transaction	NOUN
ijassa-803	481	16	on	on	ADP
ijassa-803	481	17	sensor	sensor	NOUN
ijassa-803	481	18	networks	network	NOUN
ijassa-803	481	19	(	(	PUNCT
ijassa-803	481	20	tosn	tosn	NOUN
ijassa-803	481	21	)	)	PUNCT
ijassa-803	481	22	,	,	PUNCT
ijassa-803	481	23	11	11	NUM
ijassa-803	481	24	(	(	PUNCT
ijassa-803	481	25	1):15	1):15	NUM
ijassa-803	481	26	.	.	PUNCT
ijassa-803	481	27	28	28	NUM
ijassa-803	481	28	.	.	PUNCT
ijassa-803	482	1	sharadh	sharadh	PROPN
ijassa-803	482	2	ramaswamy	ramaswamy	PROPN
ijassa-803	482	3	,	,	PUNCT
ijassa-803	482	4	kumar	kumar	PROPN
ijassa-803	482	5	viswanatha	viswanatha	PROPN
ijassa-803	482	6	,	,	PUNCT
ijassa-803	482	7	ankur	ankur	PROPN
ijassa-803	482	8	saxena	saxena	PROPN
ijassa-803	482	9	,	,	PUNCT
ijassa-803	482	10	and	and	CCONJ
ijassa-803	482	11	kenneth	kenneth	PROPN
ijassa-803	482	12	rose	rise	VERB
ijassa-803	482	13	(	(	PUNCT
ijassa-803	482	14	2010	2010	NUM
ijassa-803	482	15	)	)	PUNCT
ijassa-803	482	16	,	,	PUNCT
ijassa-803	482	17	towards	towards	ADP
ijassa-803	482	18	large	large	ADJ
ijassa-803	482	19	scale	scale	NOUN
ijassa-803	482	20	distributed	distribute	VERB
ijassa-803	482	21	coding	coding	NOUN
ijassa-803	482	22	,	,	PUNCT
ijassa-803	482	23	in	in	ADP
ijassa-803	482	24	proc	proc	NOUN
ijassa-803	482	25	.	.	PUNCT
ijassa-803	483	1	of	of	ADP
ijassa-803	483	2	acoustics	acoustic	NOUN
ijassa-803	483	3	speech	speech	NOUN
ijassa-803	483	4	and	and	CCONJ
ijassa-803	483	5	signal	signal	NOUN
ijassa-803	483	6	processing	processing	NOUN
ijassa-803	483	7	(	(	PUNCT
ijassa-803	483	8	icassp	icassp	PROPN
ijassa-803	483	9	)	)	PUNCT
ijassa-803	483	10	,	,	PUNCT
ijassa-803	483	11	2010	2010	NUM
ijassa-803	483	12	ieee	ieee	PROPN
ijassa-803	483	13	international	international	PROPN
ijassa-803	483	14	conference	conference	NOUN
ijassa-803	483	15	,	,	PUNCT
ijassa-803	483	16	pages	page	NOUN
ijassa-803	483	17	1326–1329	1326–1329	NUM
ijassa-803	483	18	,	,	PUNCT
ijassa-803	483	19	2010	2010	NUM
ijassa-803	483	20	.	.	PUNCT
ijassa-803	484	1	29	29	NUM
ijassa-803	484	2	.	.	PUNCT
ijassa-803	485	1	donoho	donoho	PROPN
ijassa-803	485	2	d	d	X
ijassa-803	485	3	l.	l.	PROPN
ijassa-803	485	4	,	,	PUNCT
ijassa-803	485	5	(	(	PUNCT
ijassa-803	485	6	2006	2006	NUM
ijassa-803	485	7	)	)	PUNCT
ijassa-803	485	8	.	.	PUNCT
ijassa-803	486	1	compressed	compress	VERB
ijassa-803	486	2	sensing	sensing	NOUN
ijassa-803	486	3	,	,	PUNCT
ijassa-803	486	4	ieee	ieee	NOUN
ijassa-803	486	5	transactions	transaction	NOUN
ijassa-803	486	6	on	on	ADP
ijassa-803	486	7	information	information	NOUN
ijassa-803	486	8	theory	theory	NOUN
ijassa-803	486	9	,	,	PUNCT
ijassa-803	486	10	52(4	52(4	NUM
ijassa-803	486	11	):	):	PUNCT
ijassa-803	486	12	1289	1289	NUM
ijassa-803	486	13	-	-	SYM
ijassa-803	486	14	1306	1306	NUM
ijassa-803	486	15	.	.	PUNCT
ijassa-803	487	1	30	30	NUM
ijassa-803	487	2	.	.	PUNCT
ijassa-803	488	1	fernando	fernando	PROPN
ijassa-803	488	2	perez	perez	PROPN
ijassa-803	488	3	-	-	PUNCT
ijassa-803	488	4	cruz	cruz	PROPN
ijassa-803	488	5	and	and	CCONJ
ijassa-803	488	6	sanjeev	sanjeev	PROPN
ijassa-803	488	7	r	r	PROPN
ijassa-803	488	8	kulkarni	kulkarni	PROPN
ijassa-803	488	9	(	(	PUNCT
ijassa-803	488	10	2010	2010	NUM
ijassa-803	488	11	)	)	PUNCT
ijassa-803	488	12	,	,	PUNCT
ijassa-803	488	13	robust	robust	ADJ
ijassa-803	488	14	and	and	CCONJ
ijassa-803	488	15	low	low	ADJ
ijassa-803	488	16	complexity	complexity	NOUN
ijassa-803	488	17	distributed	distribute	VERB
ijassa-803	488	18	kernel	kernel	NOUN
ijassa-803	488	19	least	least	ADJ
ijassa-803	488	20	squares	square	NOUN
ijassa-803	488	21	learning	learn	VERB
ijassa-803	488	22	in	in	ADP
ijassa-803	488	23	sensor	sensor	NOUN
ijassa-803	488	24	networks	network	NOUN
ijassa-803	488	25	,	,	PUNCT
ijassa-803	488	26	signal	signal	ADJ
ijassa-803	488	27	processing	processing	NOUN
ijassa-803	488	28	letters	letter	NOUN
ijassa-803	488	29	,	,	PUNCT
ijassa-803	488	30	ieee	ieee	NOUN
ijassa-803	488	31	,	,	PUNCT
ijassa-803	488	32	17(4):355–358	17(4):355–358	PROPN
ijassa-803	488	33	.	.	PUNCT
ijassa-803	489	1	31	31	NUM
ijassa-803	489	2	.	.	PUNCT
ijassa-803	490	1	alon	alon	PROPN
ijassa-803	490	2	amar	amar	PROPN
ijassa-803	490	3	,	,	PUNCT
ijassa-803	490	4	amir	amir	PROPN
ijassa-803	490	5	leshem	leshem	PROPN
ijassa-803	490	6	,	,	PUNCT
ijassa-803	490	7	and	and	CCONJ
ijassa-803	490	8	michael	michael	PROPN
ijassa-803	490	9	gastpar	gastpar	PROPN
ijassa-803	490	10	(	(	PUNCT
ijassa-803	490	11	2010	2010	NUM
ijassa-803	490	12	)	)	PUNCT
ijassa-803	490	13	,	,	PUNCT
ijassa-803	490	14	recursive	recursive	ADJ
ijassa-803	490	15	implementation	implementation	NOUN
ijassa-803	490	16	of	of	ADP
ijassa-803	490	17	the	the	DET
ijassa-803	490	18	distributed	distribute	VERB
ijassa-803	490	19	karhunen	karhunen	NOUN
ijassa-803	490	20	-	-	PUNCT
ijassa-803	490	21	loeve	loeve	NOUN
ijassa-803	490	22	transform	transform	NOUN
ijassa-803	490	23	,	,	PUNCT
ijassa-803	490	24	signal	signal	ADJ
ijassa-803	490	25	processing	processing	NOUN
ijassa-803	490	26	,	,	PUNCT
ijassa-803	490	27	ieee	ieee	NOUN
ijassa-803	490	28	transactions,58(10):5320–5330	transactions,58(10):5320–5330	PROPN
ijassa-803	490	29	.	.	PUNCT
ijassa-803	491	1	32	32	NUM
ijassa-803	491	2	.	.	PUNCT
ijassa-803	492	1	francesco	francesco	PROPN
ijassa-803	492	2	marcelloni	marcelloni	PROPN
ijassa-803	492	3	and	and	CCONJ
ijassa-803	492	4	massimo	massimo	PROPN
ijassa-803	492	5	vecchio	vecchio	PROPN
ijassa-803	492	6	(	(	PUNCT
ijassa-803	492	7	2009	2009	NUM
ijassa-803	492	8	)	)	PUNCT
ijassa-803	492	9	.	.	PUNCT
ijassa-803	493	1	an	an	DET
ijassa-803	493	2	efficient	efficient	ADJ
ijassa-803	493	3	lossless	lossless	NOUN
ijassa-803	493	4	compression	compression	NOUN
ijassa-803	493	5	algorithm	algorithm	NOUN
ijassa-803	493	6	for	for	ADP
ijassa-803	493	7	tiny	tiny	ADJ
ijassa-803	493	8	nodes	node	NOUN
ijassa-803	493	9	of	of	ADP
ijassa-803	493	10	monitoring	monitor	VERB
ijassa-803	493	11	wireless	wireless	ADJ
ijassa-803	493	12	sensor	sensor	NOUN
ijassa-803	493	13	networks	network	NOUN
ijassa-803	493	14	,	,	PUNCT
ijassa-803	493	15	the	the	DET
ijassa-803	493	16	computer	computer	NOUN
ijassa-803	493	17	journal	journal	NOUN
ijassa-803	493	18	,	,	PUNCT
ijassa-803	493	19	52(8):969–987	52(8):969–987	PROPN
ijassa-803	493	20	.	.	PUNCT
ijassa-803	494	1	33	33	NUM
ijassa-803	494	2	.	.	PUNCT
ijassa-803	495	1	tom	tom	PROPN
ijassa-803	495	2	schoell	schoell	PROPN
ijassa-803	495	3	hammer	hammer	PROPN
ijassa-803	495	4	,	,	PUNCT
ijassa-803	495	5	ben	ben	PROPN
ijassa-803	495	6	greenstein	greenstein	PROPN
ijassa-803	495	7	,	,	PUNCT
ijassa-803	495	8	eric	eric	PROPN
ijassa-803	495	9	osterweil	osterweil	PROPN
ijassa-803	495	10	,	,	PUNCT
ijassa-803	495	11	michael	michael	PROPN
ijassa-803	495	12	wimbrow	wimbrow	PROPN
ijassa-803	495	13	,	,	PUNCT
ijassa-803	495	14	and	and	CCONJ
ijassa-803	495	15	deborah	deborah	PROPN
ijassa-803	495	16	estrin(2004	estrin(2004	PROPN
ijassa-803	495	17	)	)	PUNCT
ijassa-803	495	18	.	.	PUNCT
ijassa-803	496	1	lightweight	lightweight	ADJ
ijassa-803	496	2	temporal	temporal	ADJ
ijassa-803	496	3	compression	compression	NOUN
ijassa-803	496	4	of	of	ADP
ijassa-803	496	5	microclimate	microclimate	NOUN
ijassa-803	496	6	datasets	dataset	NOUN
ijassa-803	496	7	,	,	PUNCT
ijassa-803	496	8	center	center	NOUN
ijassa-803	496	9	for	for	ADP
ijassa-803	496	10	embedded	embed	VERB
ijassa-803	496	11	network	network	NOUN
ijassa-803	496	12	sensing	sensing	NOUN
ijassa-803	496	13	.	.	PUNCT
ijassa-803	497	1	82	82	NUM
ijassa-803	497	2	anitha	anitha	PROPN
ijassa-803	497	3	k.	k.	PROPN
ijassa-803	497	4	,	,	PUNCT
ijassa-803	497	5	jaison	jaison	PROPN
ijassa-803	497	6	b.	b.	PROPN
ijassa-803	497	7	,	,	PUNCT
ijassa-803	497	8	nalini	nalini	PROPN
ijassa-803	497	9	m.	m.	PROPN
ijassa-803	497	10	,	,	PUNCT
ijassa-803	497	11	shiny	shiny	PROPN
ijassa-803	497	12	irene	irene	PROPN
ijassa-803	497	13	d.	d.	PROPN
ijassa-803	497	14	copyright	copyright	PROPN
ijassa-803	498	1	©	©	PROPN
ijassa-803	498	2	2020	2020	NUM
ijassa-803	498	3	assa	assa	PROPN
ijassa-803	498	4	adv	adv	PROPN
ijassa-803	498	5	.	.	PUNCT
ijassa-803	499	1	in	in	ADP
ijassa-803	499	2	systems	system	NOUN
ijassa-803	499	3	science	science	NOUN
ijassa-803	499	4	and	and	CCONJ
ijassa-803	499	5	appl	appl	NOUN
ijassa-803	499	6	.	.	PUNCT
ijassa-803	500	1	(	(	PUNCT
ijassa-803	500	2	2020	2020	NUM
ijassa-803	500	3	)	)	PUNCT
ijassa-803	500	4	34	34	NUM
ijassa-803	500	5	.	.	PUNCT
ijassa-803	501	1	jialiang	jialiang	PROPN
ijassa-803	501	2	lu	lu	PROPN
ijassa-803	501	3	,	,	PUNCT
ijassa-803	501	4	fabrice	fabrice	PROPN
ijassa-803	501	5	valois	valois	PROPN
ijassa-803	501	6	,	,	PUNCT
ijassa-803	501	7	mischa	mischa	PROPN
ijassa-803	501	8	dohler	dohler	PROPN
ijassa-803	501	9	,	,	PUNCT
ijassa-803	501	10	and	and	CCONJ
ijassa-803	501	11	min	min	NOUN
ijassa-803	501	12	-	-	ADJ
ijassa-803	501	13	you	you	PRON
ijassa-803	501	14	wu	wu	PROPN
ijassa-803	501	15	(	(	PUNCT
ijassa-803	501	16	2010	2010	NUM
ijassa-803	501	17	)	)	PUNCT
ijassa-803	501	18	.	.	PUNCT
ijassa-803	502	1	optimized	optimize	VERB
ijassa-803	502	2	data	data	NOUN
ijassa-803	502	3	aggregation	aggregation	NOUN
ijassa-803	502	4	in	in	ADP
ijassa-803	502	5	wsns	wsns	NOUN
ijassa-803	502	6	using	use	VERB
ijassa-803	502	7	adaptive	adaptive	ADJ
ijassa-803	502	8	arma	arma	NOUN
ijassa-803	502	9	,	,	PUNCT
ijassa-803	502	10	in	in	ADP
ijassa-803	502	11	proc	proc	NOUN
ijassa-803	502	12	.	.	PUNCT
ijassa-803	503	1	of	of	ADP
ijassa-803	503	2	sensor	sensor	NOUN
ijassa-803	503	3	technologies	technology	NOUN
ijassa-803	503	4	and	and	CCONJ
ijassa-803	503	5	applications	application	NOUN
ijassa-803	503	6	(	(	PUNCT
ijassa-803	503	7	sensorcomm	sensorcomm	NOUN
ijassa-803	503	8	)	)	PUNCT
ijassa-803	503	9	,	,	PUNCT
ijassa-803	503	10	2010	2010	NUM
ijassa-803	503	11	fourth	fourth	ADJ
ijassa-803	503	12	international	international	ADJ
ijassa-803	503	13	conference	conference	NOUN
ijassa-803	503	14	,	,	PUNCT
ijassa-803	503	15	pages	page	NOUN
ijassa-803	503	16	115–120	115–120	NUM
ijassa-803	503	17	.	.	PUNCT
ijassa-803	503	18	35	35	NUM
ijassa-803	503	19	.	.	PUNCT
ijassa-803	504	1	mohammad	mohammad	PROPN
ijassa-803	504	2	abu	abu	PROPN
ijassa-803	504	3	alsheikh	alsheikh	PROPN
ijassa-803	504	4	,	,	PUNCT
ijassa-803	504	5	puay	puay	PROPN
ijassa-803	504	6	kai	kai	PROPN
ijassa-803	504	7	poh	poh	PROPN
ijassa-803	504	8	,	,	PUNCT
ijassa-803	504	9	shaowei	shaowei	PROPN
ijassa-803	504	10	lin	lin	PROPN
ijassa-803	504	11	,	,	PUNCT
ijassa-803	504	12	hwee	hwee	ADJ
ijassa-803	504	13	-	-	PUNCT
ijassa-803	504	14	pink	pink	ADJ
ijassa-803	504	15	tan	tan	PROPN
ijassa-803	504	16	,	,	PUNCT
ijassa-803	504	17	and	and	CCONJ
ijassa-803	504	18	dusit	dusit	PROPN
ijassa-803	504	19	niyato	niyato	PROPN
ijassa-803	504	20	(	(	PUNCT
ijassa-803	504	21	2014	2014	NUM
ijassa-803	504	22	)	)	PUNCT
ijassa-803	504	23	.	.	PUNCT
ijassa-803	505	1	efficient	efficient	ADJ
ijassa-803	505	2	data	data	NOUN
ijassa-803	505	3	compression	compression	NOUN
ijassa-803	505	4	with	with	ADP
ijassa-803	505	5	error	error	NOUN
ijassa-803	505	6	bound	bind	VERB
ijassa-803	505	7	guarantee	guarantee	NOUN
ijassa-803	505	8	in	in	ADP
ijassa-803	505	9	wireless	wireless	ADJ
ijassa-803	505	10	sensor	sensor	NOUN
ijassa-803	505	11	networks	network	NOUN
ijassa-803	505	12	,	,	PUNCT
ijassa-803	505	13	in	in	ADP
ijassa-803	505	14	proc	proc	NOUN
ijassa-803	505	15	.	.	PUNCT
ijassa-803	506	1	of	of	ADP
ijassa-803	506	2	the	the	DET
ijassa-803	506	3	17th	17th	ADJ
ijassa-803	506	4	acm	acm	PROPN
ijassa-803	506	5	international	international	ADJ
ijassa-803	506	6	conference	conference	NOUN
ijassa-803	506	7	on	on	ADP
ijassa-803	506	8	modeling	modeling	NOUN
ijassa-803	506	9	,	,	PUNCT
ijassa-803	506	10	analysis	analysis	NOUN
ijassa-803	506	11	and	and	CCONJ
ijassa-803	506	12	simulation	simulation	NOUN
ijassa-803	506	13	of	of	ADP
ijassa-803	506	14	wireless	wireless	ADJ
ijassa-803	506	15	and	and	CCONJ
ijassa-803	506	16	mobile	mobile	NOUN
ijassa-803	506	17	systems	system	NOUN
ijassa-803	506	18	,	,	PUNCT
ijassa-803	506	19	pages	page	VERB
ijassa-803	506	20	307–311	307–311	NUM
ijassa-803	506	21	.	.	PUNCT
ijassa-803	507	1	36	36	NUM
ijassa-803	507	2	.	.	PUNCT
ijassa-803	508	1	ngoc	ngoc	PROPN
ijassa-803	508	2	duy	duy	PROPN
ijassa-803	508	3	pham	pham	PROPN
ijassa-803	508	4	,	,	PUNCT
ijassa-803	508	5	trong	trong	PROPN
ijassa-803	508	6	duc	duc	PROPN
ijassa-803	508	7	le	le	PROPN
ijassa-803	508	8	,	,	PUNCT
ijassa-803	508	9	and	and	CCONJ
ijassa-803	508	10	hyunseung	hyunseung	PROPN
ijassa-803	508	11	choo	choo	PROPN
ijassa-803	508	12	(	(	PUNCT
ijassa-803	508	13	2008	2008	NUM
ijassa-803	508	14	)	)	PUNCT
ijassa-803	508	15	.	.	PUNCT
ijassa-803	509	1	enhance	enhance	VERB
ijassa-803	509	2	exploring	explore	VERB
ijassa-803	509	3	temporal	temporal	ADJ
ijassa-803	509	4	correlation	correlation	NOUN
ijassa-803	509	5	for	for	ADP
ijassa-803	509	6	data	data	NOUN
ijassa-803	509	7	collection	collection	NOUN
ijassa-803	509	8	in	in	ADP
ijassa-803	509	9	wsns	wsns	PROPN
ijassa-803	509	10	,	,	PUNCT
ijassa-803	509	11	in	in	ADP
ijassa-803	509	12	proc	proc	NOUN
ijassa-803	509	13	.	.	PUNCT
ijassa-803	510	1	of	of	ADP
ijassa-803	510	2	research	research	NOUN
ijassa-803	510	3	,	,	PUNCT
ijassa-803	510	4	innovation	innovation	NOUN
ijassa-803	510	5	and	and	CCONJ
ijassa-803	510	6	vision	vision	NOUN
ijassa-803	510	7	for	for	ADP
ijassa-803	510	8	the	the	DET
ijassa-803	510	9	future	future	NOUN
ijassa-803	510	10	,	,	PUNCT
ijassa-803	510	11	2008	2008	NUM
ijassa-803	510	12	,	,	PUNCT
ijassa-803	510	13	rivf	rivf	PROPN
ijassa-803	510	14	2008	2008	NUM
ijassa-803	510	15	.	.	PUNCT
ijassa-803	511	1	ieee	ieee	PROPN
ijassa-803	511	2	international	international	PROPN
ijassa-803	511	3	conference	conference	NOUN
ijassa-803	511	4	,	,	PUNCT
ijassa-803	511	5	pages	page	NOUN
ijassa-803	511	6	204	204	NUM
ijassa-803	511	7	–	–	PUNCT
ijassa-803	511	8	208	208	NUM
ijassa-803	511	9	.	.	X
ijassa-803	511	10	37	37	NUM
ijassa-803	511	11	.	.	PUNCT
ijassa-803	512	1	yuan	yuan	NOUN
ijassa-803	512	2	,	,	PUNCT
ijassa-803	512	3	m.	m.	NOUN
ijassa-803	512	4	,	,	PUNCT
ijassa-803	512	5	lin	lin	PROPN
ijassa-803	512	6	,	,	PUNCT
ijassa-803	512	7	y	y	PROPN
ijassa-803	512	8	(	(	PUNCT
ijassa-803	512	9	2006	2006	NUM
ijassa-803	512	10	)	)	PUNCT
ijassa-803	512	11	.	.	PUNCT
ijassa-803	513	1	model	model	NOUN
ijassa-803	513	2	selection	selection	NOUN
ijassa-803	513	3	and	and	CCONJ
ijassa-803	513	4	estimation	estimation	NOUN
ijassa-803	513	5	in	in	ADP
ijassa-803	513	6	regression	regression	NOUN
ijassa-803	513	7	with	with	ADP
ijassa-803	513	8	grouped	group	VERB
ijassa-803	513	9	variables	variable	NOUN
ijassa-803	513	10	.	.	PUNCT
ijassa-803	514	1	journal	journal	NOUN
ijassa-803	514	2	of	of	ADP
ijassa-803	514	3	the	the	DET
ijassa-803	514	4	royal	royal	ADJ
ijassa-803	514	5	statistical	statistical	ADJ
ijassa-803	514	6	society	society	NOUN
ijassa-803	514	7	:	:	PUNCT
ijassa-803	514	8	series	series	PROPN
ijassa-803	514	9	b	b	PROPN
ijassa-803	514	10	(	(	PUNCT
ijassa-803	514	11	statistical	statistical	ADJ
ijassa-803	514	12	methodology	methodology	NOUN
ijassa-803	514	13	)	)	PUNCT
ijassa-803	514	14	68(1	68(1	NOUN
ijassa-803	514	15	)	)	PUNCT
ijassa-803	514	16	,	,	PUNCT
ijassa-803	514	17	49–67	49–67	NUM
ijassa-803	514	18	.	.	NOUN
ijassa-803	514	19	38	38	NUM
ijassa-803	514	20	.	.	PUNCT
ijassa-803	515	1	jacob	jacob	PROPN
ijassa-803	515	2	,	,	PUNCT
ijassa-803	515	3	l.	l.	PROPN
ijassa-803	515	4	,	,	PUNCT
ijassa-803	515	5	obozinski	obozinski	NOUN
ijassa-803	515	6	,	,	PUNCT
ijassa-803	515	7	g.	g.	PROPN
ijassa-803	515	8	,	,	PUNCT
ijassa-803	515	9	vert	vert	PROPN
ijassa-803	515	10	,	,	PUNCT
ijassa-803	515	11	j.p.(2009	j.p.(2009	PROPN
ijassa-803	515	12	)	)	PUNCT
ijassa-803	515	13	.	.	PUNCT
ijassa-803	516	1	group	group	NOUN
ijassa-803	516	2	lasso	lasso	NOUN
ijassa-803	516	3	with	with	ADP
ijassa-803	516	4	overlap	overlap	NOUN
ijassa-803	516	5	and	and	CCONJ
ijassa-803	516	6	graph	graph	NOUN
ijassa-803	516	7	lasso	lasso	NOUN
ijassa-803	516	8	.	.	PUNCT
ijassa-803	517	1	in	in	ADP
ijassa-803	517	2	:	:	PUNCT
ijassa-803	517	3	proceedings	proceeding	NOUN
ijassa-803	517	4	of	of	ADP
ijassa-803	517	5	the	the	DET
ijassa-803	517	6	26th	26th	ADJ
ijassa-803	517	7	annual	annual	ADJ
ijassa-803	517	8	international	international	ADJ
ijassa-803	517	9	conference	conference	NOUN
ijassa-803	517	10	on	on	ADP
ijassa-803	517	11	machine	machine	NOUN
ijassa-803	517	12	learning	learning	NOUN
ijassa-803	517	13	.	.	PUNCT
ijassa-803	518	1	pp	pp	X
ijassa-803	518	2	.	.	PUNCT
ijassa-803	519	1	433–440	433–440	NUM
ijassa-803	519	2	.	.	NOUN
ijassa-803	519	3	39	39	NUM
ijassa-803	519	4	.	.	PUNCT
ijassa-803	520	1	zhao	zhao	PROPN
ijassa-803	520	2	,	,	PUNCT
ijassa-803	520	3	p.	p.	PROPN
ijassa-803	520	4	,	,	PUNCT
ijassa-803	520	5	rocha	rocha	PROPN
ijassa-803	520	6	,	,	PUNCT
ijassa-803	520	7	g.	g.	PROPN
ijassa-803	520	8	,	,	PUNCT
ijassa-803	520	9	yu	yu	PROPN
ijassa-803	520	10	,	,	PUNCT
ijassa-803	520	11	b.	b.	PROPN
ijassa-803	520	12	(	(	PUNCT
ijassa-803	520	13	2009	2009	NUM
ijassa-803	520	14	)	)	PUNCT
ijassa-803	520	15	.	.	PUNCT
ijassa-803	521	1	the	the	DET
ijassa-803	521	2	composite	composite	ADJ
ijassa-803	521	3	absolute	absolute	ADJ
ijassa-803	521	4	penalties	penalty	NOUN
ijassa-803	521	5	family	family	NOUN
ijassa-803	521	6	for	for	ADP
ijassa-803	521	7	grouped	group	VERB
ijassa-803	521	8	and	and	CCONJ
ijassa-803	521	9	hierarchical	hierarchical	ADJ
ijassa-803	521	10	variable	variable	ADJ
ijassa-803	521	11	selection	selection	NOUN
ijassa-803	521	12	,	,	PUNCT
ijassa-803	521	13	the	the	DET
ijassa-803	521	14	annals	annal	NOUN
ijassa-803	521	15	of	of	ADP
ijassa-803	521	16	statistics	statistic	NOUN
ijassa-803	521	17	,	,	PUNCT
ijassa-803	521	18	pp	pp	ADJ
ijassa-803	521	19	.	.	PUNCT
ijassa-803	522	1	3468–3497	3468–3497	NUM
ijassa-803	522	2	.	.	X
ijassa-803	523	1	40	40	NUM
ijassa-803	523	2	.	.	PUNCT
ijassa-803	524	1	amr	amr	PROPN
ijassa-803	524	2	ahmed	ahmed	PROPN
ijassa-803	524	3	and	and	CCONJ
ijassa-803	524	4	eric	eric	PROPN
ijassa-803	524	5	p	p	PROPN
ijassa-803	524	6	xing	xing	PROPN
ijassa-803	524	7	(	(	PUNCT
ijassa-803	524	8	2009	2009	NUM
ijassa-803	524	9	)	)	PUNCT
ijassa-803	524	10	,	,	PUNCT
ijassa-803	524	11	recovering	recover	VERB
ijassa-803	524	12	time	time	NOUN
ijassa-803	524	13	-	-	PUNCT
ijassa-803	524	14	varying	vary	VERB
ijassa-803	524	15	networks	network	NOUN
ijassa-803	524	16	of	of	ADP
ijassa-803	524	17	dependencies	dependency	NOUN
ijassa-803	524	18	in	in	ADP
ijassa-803	524	19	social	social	ADJ
ijassa-803	524	20	and	and	CCONJ
ijassa-803	524	21	biological	biological	ADJ
ijassa-803	524	22	studies	study	NOUN
ijassa-803	524	23	,	,	PUNCT
ijassa-803	524	24	in	in	ADP
ijassa-803	524	25	proc	proc	NOUN
ijassa-803	524	26	.	.	PUNCT
ijassa-803	524	27	of	of	ADP
ijassa-803	524	28	the	the	DET
ijassa-803	524	29	national	national	PROPN
ijassa-803	524	30	academy	academy	PROPN
ijassa-803	524	31	of	of	ADP
ijassa-803	524	32	sciences	sciences	PROPN
ijassa-803	524	33	,	,	PUNCT
ijassa-803	524	34	106(29):11878–11883	106(29):11878–11883	NUM
ijassa-803	524	35	.	.	PUNCT
ijassa-803	525	1	41	41	NUM
ijassa-803	525	2	.	.	PUNCT
ijassa-803	525	3	boyd	boyd	PROPN
ijassa-803	525	4	,	,	PUNCT
ijassa-803	525	5	s.	s.	PROPN
ijassa-803	525	6	,parikh	,parikh	PROPN
ijassa-803	525	7	,	,	PUNCT
ijassa-803	525	8	n.	n.	PROPN
ijassa-803	525	9	,	,	PUNCT
ijassa-803	525	10	chu	chu	PROPN
ijassa-803	525	11	,	,	PUNCT
ijassa-803	525	12	e.	e.	PROPN
ijassa-803	525	13	,peleato	,peleato	PROPN
ijassa-803	525	14	,	,	PUNCT
ijassa-803	525	15	b.	b.	PROPN
ijassa-803	525	16	,	,	PUNCT
ijassa-803	525	17	eckstein	eckstein	PROPN
ijassa-803	525	18	,	,	PUNCT
ijassa-803	525	19	j	j	PROPN
ijassa-803	525	20	(	(	PUNCT
ijassa-803	525	21	2011	2011	NUM
ijassa-803	525	22	)	)	PUNCT
ijassa-803	525	23	.	.	PUNCT
ijassa-803	526	1	distributed	distribute	VERB
ijassa-803	526	2	optimization	optimization	NOUN
ijassa-803	526	3	and	and	CCONJ
ijassa-803	526	4	statistical	statistical	ADJ
ijassa-803	526	5	learning	learning	NOUN
ijassa-803	526	6	via	via	ADP
ijassa-803	526	7	the	the	DET
ijassa-803	526	8	alternating	alternate	VERB
ijassa-803	526	9	direction	direction	NOUN
ijassa-803	526	10	method	method	NOUN
ijassa-803	526	11	of	of	ADP
ijassa-803	526	12	multipliers	multiplier	NOUN
ijassa-803	526	13	,	,	PUNCT
ijassa-803	526	14	foundations	foundation	NOUN
ijassa-803	526	15	and	and	CCONJ
ijassa-803	526	16	trends	trend	NOUN
ijassa-803	526	17	in	in	ADP
ijassa-803	526	18	machine	machine	NOUN
ijassa-803	526	19	learning	learn	VERB
ijassa-803	526	20	3(1	3(1	NUM
ijassa-803	526	21	)	)	PUNCT
ijassa-803	526	22	,	,	PUNCT
ijassa-803	526	23	1–122	1–122	NUM
ijassa-803	526	24	.	.	PUNCT