id	sid	tid	token	lemma	pos
cet-1161	1	1	microsoft	microsoft	PROPN
cet-1161	1	2	word	word	PROPN
cet-1161	1	3	cet--006.docx	cet--006.docx	PROPN
cet-1161	1	4	chemical	chemical	PROPN
cet-1161	1	5	engineering	engineering	NOUN
cet-1161	1	6	transactions	transaction	NOUN
cet-1161	1	7	vol	vol	NOUN
cet-1161	1	8	.	.	PROPN
cet-1161	1	9	59	59	NUM
cet-1161	1	10	,	,	PUNCT
cet-1161	1	11	2017	2017	NUM
cet-1161	1	12	a	a	DET
cet-1161	1	13	publication	publication	NOUN
cet-1161	1	14	of	of	ADP
cet-1161	1	15	the	the	DET
cet-1161	1	16	italian	italian	ADJ
cet-1161	1	17	association	association	NOUN
cet-1161	1	18	of	of	ADP
cet-1161	1	19	chemical	chemical	PROPN
cet-1161	1	20	engineering	engineering	NOUN
cet-1161	1	21	online	online	ADV
cet-1161	1	22	at	at	ADP
cet-1161	1	23	www.aidic.it/cet	www.aidic.it/cet	PROPN
cet-1161	1	24	guest	guest	NOUN
cet-1161	1	25	editors	editor	NOUN
cet-1161	1	26	:	:	PUNCT
cet-1161	1	27	zhuo	zhuo	PROPN
cet-1161	1	28	yang	yang	PROPN
cet-1161	1	29	,	,	PUNCT
cet-1161	1	30	junjie	junjie	PROPN
cet-1161	1	31	ba	ba	PROPN
cet-1161	1	32	,	,	PUNCT
cet-1161	1	33	jing	je	VERB
cet-1161	1	34	pan	pan	PROPN
cet-1161	1	35	copyright	copyright	NOUN
cet-1161	1	36	©	©	PROPN
cet-1161	1	37	2017	2017	NUM
cet-1161	1	38	,	,	PUNCT
cet-1161	1	39	aidic	aidic	ADJ
cet-1161	1	40	servizi	servizi	PROPN
cet-1161	1	41	s.r.l	s.r.l	PROPN
cet-1161	1	42	.	.	PUNCT
cet-1161	2	1	isbn	isbn	ADJ
cet-1161	2	2	978	978	NUM
cet-1161	2	3	-	-	SYM
cet-1161	2	4	88	88	NUM
cet-1161	2	5	-	-	PUNCT
cet-1161	2	6	9560849	9560849	NUM
cet-1161	2	7	-	-	SYM
cet-1161	2	8	5	5	NUM
cet-1161	2	9	;	;	PUNCT
cet-1161	2	10	issn	issn	PROPN
cet-1161	2	11	2283	2283	NUM
cet-1161	2	12	-	-	SYM
cet-1161	2	13	9216	9216	NUM
cet-1161	2	14	warning	warning	NOUN
cet-1161	2	15	system	system	NOUN
cet-1161	2	16	of	of	ADP
cet-1161	2	17	dangerous	dangerous	ADJ
cet-1161	2	18	chemical	chemical	NOUN
cet-1161	2	19	gas	gas	NOUN
cet-1161	2	20	in	in	ADP
cet-1161	2	21	factory	factory	NOUN
cet-1161	2	22	based	base	VERB
cet-1161	2	23	on	on	ADP
cet-1161	2	24	wireless	wireless	ADJ
cet-1161	2	25	sensor	sensor	NOUN
cet-1161	2	26	network	network	NOUN
cet-1161	2	27	manzeng	manzeng	PROPN
cet-1161	2	28	ma	ma	PROPN
cet-1161	2	29	,	,	PUNCT
cet-1161	2	30	bo	bo	PROPN
cet-1161	2	31	zhang	zhang	PROPN
cet-1161	2	32	school	school	PROPN
cet-1161	2	33	of	of	ADP
cet-1161	2	34	computer	computer	NOUN
cet-1161	2	35	science	science	PROPN
cet-1161	2	36	&	&	CCONJ
cet-1161	2	37	engineering	engineering	PROPN
cet-1161	2	38	,	,	PUNCT
cet-1161	2	39	cangzhou	cangzhou	PROPN
cet-1161	2	40	normal	normal	ADJ
cet-1161	2	41	university	university	NOUN
cet-1161	2	42	,	,	PUNCT
cet-1161	2	43	cangzhou	cangzhou	PROPN
cet-1161	2	44	061001	061001	NUM
cet-1161	2	45	,	,	PUNCT
cet-1161	2	46	china	china	PROPN
cet-1161	2	47	9527a@163.com	9527a@163.com	PROPN
cet-1161	2	48	wireless	wireless	ADJ
cet-1161	2	49	sensor	sensor	NOUN
cet-1161	2	50	network	network	NOUN
cet-1161	2	51	(	(	PUNCT
cet-1161	2	52	wsn	wsn	PROPN
cet-1161	2	53	)	)	PUNCT
cet-1161	2	54	is	be	AUX
cet-1161	2	55	a	a	DET
cet-1161	2	56	dynamic	dynamic	ADJ
cet-1161	2	57	network	network	NOUN
cet-1161	2	58	topology	topology	NOUN
cet-1161	2	59	which	which	PRON
cet-1161	2	60	is	be	AUX
cet-1161	2	61	formed	form	VERB
cet-1161	2	62	in	in	ADP
cet-1161	2	63	a	a	DET
cet-1161	2	64	self	self	NOUN
cet-1161	2	65	-	-	PUNCT
cet-1161	2	66	organizing	organize	VERB
cet-1161	2	67	way	way	NOUN
cet-1161	2	68	.	.	PUNCT
cet-1161	3	1	in	in	ADP
cet-1161	3	2	the	the	DET
cet-1161	3	3	field	field	NOUN
cet-1161	3	4	of	of	ADP
cet-1161	3	5	wsn	wsn	PROPN
cet-1161	3	6	,	,	PUNCT
cet-1161	3	7	the	the	DET
cet-1161	3	8	perception	perception	NOUN
cet-1161	3	9	of	of	ADP
cet-1161	3	10	information	information	NOUN
cet-1161	3	11	is	be	AUX
cet-1161	3	12	realized	realize	VERB
cet-1161	3	13	by	by	ADP
cet-1161	3	14	cooperative	cooperative	ADJ
cet-1161	3	15	work	work	NOUN
cet-1161	3	16	between	between	ADP
cet-1161	3	17	sensors	sensor	NOUN
cet-1161	3	18	.	.	PUNCT
cet-1161	4	1	the	the	DET
cet-1161	4	2	wireless	wireless	ADJ
cet-1161	4	3	sensor	sensor	NOUN
cet-1161	4	4	network	network	NOUN
cet-1161	4	5	has	have	VERB
cet-1161	4	6	the	the	DET
cet-1161	4	7	characteristics	characteristic	NOUN
cet-1161	4	8	of	of	ADP
cet-1161	4	9	simple	simple	ADJ
cet-1161	4	10	structure	structure	NOUN
cet-1161	4	11	,	,	PUNCT
cet-1161	4	12	low	low	ADJ
cet-1161	4	13	cost	cost	NOUN
cet-1161	4	14	and	and	CCONJ
cet-1161	4	15	high	high	ADJ
cet-1161	4	16	reliability	reliability	NOUN
cet-1161	4	17	.	.	PUNCT
cet-1161	5	1	usually	usually	ADV
cet-1161	5	2	,	,	PUNCT
cet-1161	5	3	most	most	ADJ
cet-1161	5	4	of	of	ADP
cet-1161	5	5	the	the	DET
cet-1161	5	6	energy	energy	NOUN
cet-1161	5	7	of	of	ADP
cet-1161	5	8	sensor	sensor	NOUN
cet-1161	5	9	nodes	node	NOUN
cet-1161	5	10	is	be	AUX
cet-1161	5	11	consumed	consume	VERB
cet-1161	5	12	in	in	ADP
cet-1161	5	13	data	data	NOUN
cet-1161	5	14	transmission	transmission	NOUN
cet-1161	5	15	.	.	PUNCT
cet-1161	6	1	so	so	ADV
cet-1161	6	2	,	,	PUNCT
cet-1161	6	3	reducing	reduce	VERB
cet-1161	6	4	the	the	DET
cet-1161	6	5	data	data	NOUN
cet-1161	6	6	transmission	transmission	NOUN
cet-1161	6	7	between	between	ADP
cet-1161	6	8	sensor	sensor	NOUN
cet-1161	6	9	nodes	node	NOUN
cet-1161	6	10	becomes	become	VERB
cet-1161	6	11	an	an	DET
cet-1161	6	12	effective	effective	ADJ
cet-1161	6	13	way	way	NOUN
cet-1161	6	14	to	to	PART
cet-1161	6	15	reduce	reduce	VERB
cet-1161	6	16	the	the	DET
cet-1161	6	17	energy	energy	NOUN
cet-1161	6	18	consumption	consumption	NOUN
cet-1161	6	19	of	of	ADP
cet-1161	6	20	sensor	sensor	NOUN
cet-1161	6	21	networks	network	NOUN
cet-1161	6	22	.	.	PUNCT
cet-1161	7	1	data	datum	NOUN
cet-1161	7	2	fusion	fusion	NOUN
cet-1161	7	3	technology	technology	NOUN
cet-1161	7	4	can	can	AUX
cet-1161	7	5	effectively	effectively	ADV
cet-1161	7	6	reduce	reduce	VERB
cet-1161	7	7	the	the	DET
cet-1161	7	8	amount	amount	NOUN
cet-1161	7	9	of	of	ADP
cet-1161	7	10	data	datum	NOUN
cet-1161	7	11	transmission	transmission	NOUN
cet-1161	7	12	in	in	ADP
cet-1161	7	13	the	the	DET
cet-1161	7	14	sensor	sensor	NOUN
cet-1161	7	15	network	network	NOUN
cet-1161	7	16	,	,	PUNCT
cet-1161	7	17	which	which	PRON
cet-1161	7	18	can	can	AUX
cet-1161	7	19	reduce	reduce	VERB
cet-1161	7	20	the	the	DET
cet-1161	7	21	energy	energy	NOUN
cet-1161	7	22	consumption	consumption	NOUN
cet-1161	7	23	and	and	CCONJ
cet-1161	7	24	get	get	VERB
cet-1161	7	25	more	more	ADV
cet-1161	7	26	accurate	accurate	ADJ
cet-1161	7	27	information	information	NOUN
cet-1161	7	28	.	.	PUNCT
cet-1161	8	1	in	in	ADP
cet-1161	8	2	this	this	DET
cet-1161	8	3	paper	paper	NOUN
cet-1161	8	4	,	,	PUNCT
cet-1161	8	5	we	we	PRON
cet-1161	8	6	propose	propose	VERB
cet-1161	8	7	a	a	DET
cet-1161	8	8	hybrid	hybrid	ADJ
cet-1161	8	9	data	data	NOUN
cet-1161	8	10	fusion	fusion	NOUN
cet-1161	8	11	algorithm	algorithm	NOUN
cet-1161	8	12	based	base	VERB
cet-1161	8	13	on	on	ADP
cet-1161	8	14	adaptive	adaptive	ADJ
cet-1161	8	15	weighting	weighting	NOUN
cet-1161	8	16	algorithm	algorithm	NOUN
cet-1161	8	17	and	and	CCONJ
cet-1161	8	18	calman	calman	NOUN
cet-1161	8	19	filter	filter	NOUN
cet-1161	8	20	algorithm	algorithm	NOUN
cet-1161	8	21	.	.	PUNCT
cet-1161	9	1	in	in	ADP
cet-1161	9	2	the	the	DET
cet-1161	9	3	hybrid	hybrid	ADJ
cet-1161	9	4	algorithm	algorithm	NOUN
cet-1161	9	5	,	,	PUNCT
cet-1161	9	6	the	the	DET
cet-1161	9	7	pearson	pearson	PROPN
cet-1161	9	8	similarity	similarity	PROPN
cet-1161	9	9	algorithm	algorithm	NOUN
cet-1161	9	10	is	be	AUX
cet-1161	9	11	used	use	VERB
cet-1161	9	12	to	to	PART
cet-1161	9	13	filter	filter	VERB
cet-1161	9	14	the	the	DET
cet-1161	9	15	sensor	sensor	NOUN
cet-1161	9	16	nodes	node	NOUN
cet-1161	9	17	which	which	PRON
cet-1161	9	18	do	do	AUX
cet-1161	9	19	not	not	PART
cet-1161	9	20	meet	meet	VERB
cet-1161	9	21	the	the	DET
cet-1161	9	22	requirements	requirement	NOUN
cet-1161	9	23	,	,	PUNCT
cet-1161	9	24	and	and	CCONJ
cet-1161	9	25	then	then	ADV
cet-1161	9	26	the	the	DET
cet-1161	9	27	average	average	ADJ
cet-1161	9	28	values	value	NOUN
cet-1161	9	29	of	of	ADP
cet-1161	9	30	the	the	DET
cet-1161	9	31	two	two	NUM
cet-1161	9	32	algorithms	algorithm	NOUN
cet-1161	9	33	are	be	AUX
cet-1161	9	34	obtained	obtain	VERB
cet-1161	9	35	.	.	PUNCT
cet-1161	10	1	firstly	firstly	ADV
cet-1161	10	2	,	,	PUNCT
cet-1161	10	3	this	this	DET
cet-1161	10	4	paper	paper	NOUN
cet-1161	10	5	introduces	introduce	VERB
cet-1161	10	6	the	the	DET
cet-1161	10	7	principle	principle	NOUN
cet-1161	10	8	of	of	ADP
cet-1161	10	9	adaptive	adaptive	ADJ
cet-1161	10	10	weighting	weighting	NOUN
cet-1161	10	11	algorithm	algorithm	NOUN
cet-1161	10	12	and	and	CCONJ
cet-1161	10	13	calman	calman	NOUN
cet-1161	10	14	filter	filter	NOUN
cet-1161	10	15	algorithm	algorithm	NOUN
cet-1161	10	16	.	.	PUNCT
cet-1161	11	1	secondly	secondly	ADV
cet-1161	11	2	,	,	PUNCT
cet-1161	11	3	we	we	PRON
cet-1161	11	4	propose	propose	VERB
cet-1161	11	5	the	the	DET
cet-1161	11	6	improved	improved	ADJ
cet-1161	11	7	hybrid	hybrid	ADJ
cet-1161	11	8	algorithm	algorithm	NOUN
cet-1161	11	9	by	by	ADP
cet-1161	11	10	extracting	extract	VERB
cet-1161	11	11	some	some	DET
cet-1161	11	12	nodes	node	NOUN
cet-1161	11	13	with	with	ADP
cet-1161	11	14	low	low	ADJ
cet-1161	11	15	similarity	similarity	NOUN
cet-1161	11	16	,	,	PUNCT
cet-1161	11	17	and	and	CCONJ
cet-1161	11	18	then	then	ADV
cet-1161	11	19	we	we	PRON
cet-1161	11	20	get	get	VERB
cet-1161	11	21	the	the	DET
cet-1161	11	22	result	result	NOUN
cet-1161	11	23	by	by	ADP
cet-1161	11	24	weighted	weighted	ADJ
cet-1161	11	25	calculation	calculation	NOUN
cet-1161	11	26	.	.	PUNCT
cet-1161	12	1	finally	finally	ADV
cet-1161	12	2	,	,	PUNCT
cet-1161	12	3	the	the	DET
cet-1161	12	4	experimental	experimental	ADJ
cet-1161	12	5	results	result	NOUN
cet-1161	12	6	show	show	VERB
cet-1161	12	7	that	that	SCONJ
cet-1161	12	8	the	the	DET
cet-1161	12	9	proposed	propose	VERB
cet-1161	12	10	algorithm	algorithm	NOUN
cet-1161	12	11	has	have	VERB
cet-1161	12	12	higher	high	ADJ
cet-1161	12	13	accuracy	accuracy	NOUN
cet-1161	12	14	and	and	CCONJ
cet-1161	12	15	lower	low	ADJ
cet-1161	12	16	energy	energy	NOUN
cet-1161	12	17	consumption	consumption	NOUN
cet-1161	12	18	.	.	PUNCT
cet-1161	13	1	1	1	X
cet-1161	13	2	.	.	X
cet-1161	13	3	introduction	introduction	NOUN
cet-1161	13	4	data	datum	NOUN
cet-1161	13	5	fusion	fusion	NOUN
cet-1161	13	6	technology	technology	NOUN
cet-1161	13	7	is	be	AUX
cet-1161	13	8	widely	widely	ADV
cet-1161	13	9	used	use	VERB
cet-1161	13	10	,	,	PUNCT
cet-1161	13	11	and	and	CCONJ
cet-1161	13	12	it	it	PRON
cet-1161	13	13	can	can	AUX
cet-1161	13	14	be	be	AUX
cet-1161	13	15	used	use	VERB
cet-1161	13	16	to	to	PART
cet-1161	13	17	create	create	VERB
cet-1161	13	18	a	a	DET
cet-1161	13	19	complete	complete	ADJ
cet-1161	13	20	view	view	NOUN
cet-1161	13	21	based	base	VERB
cet-1161	13	22	on	on	ADP
cet-1161	13	23	the	the	DET
cet-1161	13	24	fragmented	fragmented	ADJ
cet-1161	13	25	information	information	NOUN
cet-1161	13	26	collected	collect	VERB
cet-1161	13	27	from	from	ADP
cet-1161	13	28	each	each	DET
cet-1161	13	29	node	node	NOUN
cet-1161	13	30	.	.	PUNCT
cet-1161	14	1	through	through	ADP
cet-1161	14	2	data	datum	NOUN
cet-1161	14	3	fusion	fusion	NOUN
cet-1161	14	4	,	,	PUNCT
cet-1161	14	5	the	the	DET
cet-1161	14	6	sensor	sensor	NOUN
cet-1161	14	7	network	network	NOUN
cet-1161	14	8	can	can	AUX
cet-1161	14	9	avoid	avoid	VERB
cet-1161	14	10	redundant	redundant	ADJ
cet-1161	14	11	information	information	NOUN
cet-1161	14	12	transmission	transmission	NOUN
cet-1161	14	13	and	and	CCONJ
cet-1161	14	14	greatly	greatly	ADV
cet-1161	14	15	reduce	reduce	VERB
cet-1161	14	16	the	the	DET
cet-1161	14	17	network	network	NOUN
cet-1161	14	18	communication	communication	NOUN
cet-1161	14	19	load	load	NOUN
cet-1161	14	20	.	.	PUNCT
cet-1161	15	1	many	many	ADJ
cet-1161	15	2	scientists	scientist	NOUN
cet-1161	15	3	regard	regard	VERB
cet-1161	15	4	data	datum	NOUN
cet-1161	15	5	fusion	fusion	NOUN
cet-1161	15	6	technology	technology	NOUN
cet-1161	15	7	as	as	ADP
cet-1161	15	8	one	one	NUM
cet-1161	15	9	of	of	ADP
cet-1161	15	10	their	their	PRON
cet-1161	15	11	main	main	ADJ
cet-1161	15	12	research	research	NOUN
cet-1161	15	13	directions	direction	NOUN
cet-1161	15	14	and	and	CCONJ
cet-1161	15	15	they	they	PRON
cet-1161	15	16	put	put	VERB
cet-1161	15	17	forward	forward	ADV
cet-1161	15	18	their	their	PRON
cet-1161	15	19	own	own	ADJ
cet-1161	15	20	solutions	solution	NOUN
cet-1161	15	21	through	through	ADP
cet-1161	15	22	theoretical	theoretical	ADJ
cet-1161	15	23	analysis	analysis	NOUN
cet-1161	15	24	and	and	CCONJ
cet-1161	15	25	experiments	experiment	NOUN
cet-1161	15	26	.	.	PUNCT
cet-1161	16	1	lin	lin	PROPN
cet-1161	16	2	et	et	PROPN
cet-1161	16	3	al	al	PROPN
cet-1161	16	4	.	.	PROPN
cet-1161	16	5	,	,	PUNCT
cet-1161	16	6	(	(	PUNCT
cet-1161	16	7	2008	2008	NUM
cet-1161	16	8	)	)	PUNCT
cet-1161	16	9	propose	propose	VERB
cet-1161	16	10	the	the	DET
cet-1161	16	11	chep	chep	ADJ
cet-1161	16	12	method	method	NOUN
cet-1161	16	13	,	,	PUNCT
cet-1161	16	14	which	which	PRON
cet-1161	16	15	can	can	AUX
cet-1161	16	16	balance	balance	VERB
cet-1161	16	17	the	the	DET
cet-1161	16	18	energy	energy	NOUN
cet-1161	16	19	load	load	NOUN
cet-1161	16	20	effectively	effectively	ADV
cet-1161	16	21	.	.	PUNCT
cet-1161	17	1	xiang	xiang	PROPN
cet-1161	17	2	et	et	PROPN
cet-1161	17	3	al	al	PROPN
cet-1161	17	4	.	.	PROPN
cet-1161	17	5	,	,	PUNCT
cet-1161	17	6	(	(	PUNCT
cet-1161	17	7	2010	2010	NUM
cet-1161	17	8	)	)	PUNCT
cet-1161	17	9	proposes	propose	VERB
cet-1161	17	10	a	a	DET
cet-1161	17	11	clustering	cluster	VERB
cet-1161	17	12	algorithm	algorithm	NOUN
cet-1161	17	13	by	by	ADP
cet-1161	17	14	optimizing	optimize	VERB
cet-1161	17	15	the	the	DET
cet-1161	17	16	position	position	NOUN
cet-1161	17	17	information	information	NOUN
cet-1161	17	18	and	and	CCONJ
cet-1161	17	19	the	the	DET
cet-1161	17	20	residual	residual	ADJ
cet-1161	17	21	energy	energy	NOUN
cet-1161	17	22	.	.	PUNCT
cet-1161	18	1	li	li	PROPN
cet-1161	18	2	et	et	PROPN
cet-1161	18	3	al	al	PROPN
cet-1161	18	4	.	.	PROPN
cet-1161	18	5	,	,	PUNCT
cet-1161	18	6	(	(	PUNCT
cet-1161	18	7	2012	2012	NUM
cet-1161	18	8	)	)	PUNCT
cet-1161	18	9	proposes	propose	VERB
cet-1161	18	10	a	a	DET
cet-1161	18	11	leach	leach	NOUN
cet-1161	18	12	-	-	PUNCT
cet-1161	18	13	new	new	ADJ
cet-1161	18	14	algorithm	algorithm	NOUN
cet-1161	18	15	,	,	PUNCT
cet-1161	18	16	which	which	PRON
cet-1161	18	17	effectively	effectively	ADV
cet-1161	18	18	reduces	reduce	VERB
cet-1161	18	19	the	the	DET
cet-1161	18	20	network	network	NOUN
cet-1161	18	21	energy	energy	NOUN
cet-1161	18	22	consumption	consumption	NOUN
cet-1161	18	23	and	and	CCONJ
cet-1161	18	24	ensures	ensure	VERB
cet-1161	18	25	the	the	DET
cet-1161	18	26	network	network	NOUN
cet-1161	18	27	load	load	NOUN
cet-1161	18	28	balance	balance	NOUN
cet-1161	18	29	.	.	PUNCT
cet-1161	19	1	zhang	zhang	PROPN
cet-1161	19	2	et	et	PROPN
cet-1161	19	3	al	al	PROPN
cet-1161	19	4	.	.	PROPN
cet-1161	19	5	,	,	PUNCT
cet-1161	19	6	(	(	PUNCT
cet-1161	19	7	2001	2001	NUM
cet-1161	19	8	)	)	PUNCT
cet-1161	19	9	proposes	propose	VERB
cet-1161	19	10	an	an	DET
cet-1161	19	11	optimized	optimize	VERB
cet-1161	19	12	bayesian	bayesian	NOUN
cet-1161	19	13	data	datum	NOUN
cet-1161	19	14	fusion	fusion	NOUN
cet-1161	19	15	method	method	NOUN
cet-1161	19	16	which	which	PRON
cet-1161	19	17	effectively	effectively	ADV
cet-1161	19	18	solves	solve	VERB
cet-1161	19	19	the	the	DET
cet-1161	19	20	problem	problem	NOUN
cet-1161	19	21	of	of	ADP
cet-1161	19	22	uncertainty	uncertainty	NOUN
cet-1161	19	23	and	and	CCONJ
cet-1161	19	24	inconsistency	inconsistency	NOUN
cet-1161	19	25	.	.	PUNCT
cet-1161	20	1	qiu	qiu	PROPN
cet-1161	20	2	et	et	PROPN
cet-1161	20	3	al	al	PROPN
cet-1161	20	4	.	.	PROPN
cet-1161	20	5	,	,	PUNCT
cet-1161	20	6	(	(	PUNCT
cet-1161	20	7	2014	2014	NUM
cet-1161	20	8	)	)	PUNCT
cet-1161	20	9	proposes	propose	VERB
cet-1161	20	10	the	the	DET
cet-1161	20	11	saemda	saemda	ADJ
cet-1161	20	12	algorithm	algorithm	NOUN
cet-1161	20	13	based	base	VERB
cet-1161	20	14	on	on	ADP
cet-1161	20	15	deep	deep	ADJ
cet-1161	20	16	learning	learning	NOUN
cet-1161	20	17	and	and	CCONJ
cet-1161	20	18	it	it	PRON
cet-1161	20	19	improves	improve	VERB
cet-1161	20	20	the	the	DET
cet-1161	20	21	performance	performance	NOUN
cet-1161	20	22	of	of	ADP
cet-1161	20	23	data	datum	NOUN
cet-1161	20	24	fusion	fusion	NOUN
cet-1161	20	25	in	in	ADP
cet-1161	20	26	the	the	DET
cet-1161	20	27	field	field	NOUN
cet-1161	20	28	of	of	ADP
cet-1161	20	29	wsn	wsn	PROPN
cet-1161	20	30	.	.	PUNCT
cet-1161	21	1	yanger	yanger	NOUN
cet-1161	21	2	et	et	PROPN
cet-1161	21	3	al	al	PROPN
cet-1161	21	4	.	.	PROPN
cet-1161	21	5	,	,	PUNCT
cet-1161	21	6	(	(	PUNCT
cet-1161	21	7	2001	2001	NUM
cet-1161	21	8	)	)	PUNCT
cet-1161	21	9	abandons	abandon	VERB
cet-1161	21	10	probabilistic	probabilistic	ADJ
cet-1161	21	11	method	method	NOUN
cet-1161	21	12	by	by	ADP
cet-1161	21	13	calculating	calculate	VERB
cet-1161	21	14	the	the	DET
cet-1161	21	15	support	support	NOUN
cet-1161	21	16	function	function	NOUN
cet-1161	21	17	of	of	ADP
cet-1161	21	18	each	each	DET
cet-1161	21	19	sensor	sensor	NOUN
cet-1161	21	20	data	datum	NOUN
cet-1161	21	21	.	.	PUNCT
cet-1161	22	1	ding	ding	PROPN
cet-1161	22	2	lei	lei	PROPN
cet-1161	22	3	proposes	propose	VERB
cet-1161	22	4	svr	svr	PROPN
cet-1161	22	5	algorithm	algorithm	PROPN
cet-1161	22	6	and	and	CCONJ
cet-1161	22	7	the	the	DET
cet-1161	22	8	experimental	experimental	ADJ
cet-1161	22	9	results	result	NOUN
cet-1161	22	10	show	show	VERB
cet-1161	22	11	that	that	SCONJ
cet-1161	22	12	the	the	DET
cet-1161	22	13	method	method	NOUN
cet-1161	22	14	is	be	AUX
cet-1161	22	15	superior	superior	ADJ
cet-1161	22	16	to	to	ADP
cet-1161	22	17	the	the	DET
cet-1161	22	18	data	datum	NOUN
cet-1161	22	19	fusion	fusion	NOUN
cet-1161	22	20	method	method	NOUN
cet-1161	22	21	of	of	ADP
cet-1161	22	22	artificial	artificial	ADJ
cet-1161	22	23	neural	neural	ADJ
cet-1161	22	24	network	network	NOUN
cet-1161	22	25	(	(	PUNCT
cet-1161	22	26	ding	ding	NOUN
cet-1161	22	27	et	et	PROPN
cet-1161	22	28	al	al	PROPN
cet-1161	22	29	.	.	PROPN
cet-1161	22	30	,	,	PUNCT
cet-1161	22	31	2011	2011	NUM
cet-1161	22	32	)	)	PUNCT
cet-1161	22	33	.	.	PUNCT
cet-1161	23	1	in	in	ADP
cet-1161	23	2	this	this	DET
cet-1161	23	3	paper	paper	NOUN
cet-1161	23	4	,	,	PUNCT
cet-1161	23	5	we	we	PRON
cet-1161	23	6	propose	propose	VERB
cet-1161	23	7	a	a	DET
cet-1161	23	8	hybrid	hybrid	ADJ
cet-1161	23	9	data	data	NOUN
cet-1161	23	10	fusion	fusion	NOUN
cet-1161	23	11	algorithm	algorithm	NOUN
cet-1161	23	12	based	base	VERB
cet-1161	23	13	on	on	ADP
cet-1161	23	14	adaptive	adaptive	ADJ
cet-1161	23	15	weighting	weighting	NOUN
cet-1161	23	16	algorithm	algorithm	NOUN
cet-1161	23	17	and	and	CCONJ
cet-1161	23	18	calman	calman	NOUN
cet-1161	23	19	filter	filter	NOUN
cet-1161	23	20	algorithm	algorithm	NOUN
cet-1161	23	21	.	.	PUNCT
cet-1161	24	1	in	in	ADP
cet-1161	24	2	the	the	DET
cet-1161	24	3	hybrid	hybrid	ADJ
cet-1161	24	4	algorithm	algorithm	NOUN
cet-1161	24	5	,	,	PUNCT
cet-1161	24	6	the	the	DET
cet-1161	24	7	pearson	pearson	PROPN
cet-1161	24	8	similarity	similarity	PROPN
cet-1161	24	9	algorithm	algorithm	NOUN
cet-1161	24	10	is	be	AUX
cet-1161	24	11	used	use	VERB
cet-1161	24	12	to	to	PART
cet-1161	24	13	filter	filter	VERB
cet-1161	24	14	the	the	DET
cet-1161	24	15	sensor	sensor	NOUN
cet-1161	24	16	nodes	nod	VERB
cet-1161	24	17	,	,	PUNCT
cet-1161	24	18	and	and	CCONJ
cet-1161	24	19	then	then	ADV
cet-1161	24	20	the	the	DET
cet-1161	24	21	average	average	ADJ
cet-1161	24	22	values	value	NOUN
cet-1161	24	23	of	of	ADP
cet-1161	24	24	the	the	DET
cet-1161	24	25	two	two	NUM
cet-1161	24	26	algorithms	algorithm	NOUN
cet-1161	24	27	are	be	AUX
cet-1161	24	28	obtained	obtain	VERB
cet-1161	24	29	.	.	PUNCT
cet-1161	25	1	firstly	firstly	ADV
cet-1161	25	2	,	,	PUNCT
cet-1161	25	3	this	this	DET
cet-1161	25	4	paper	paper	NOUN
cet-1161	25	5	introduces	introduce	VERB
cet-1161	25	6	the	the	DET
cet-1161	25	7	principle	principle	NOUN
cet-1161	25	8	of	of	ADP
cet-1161	25	9	adaptive	adaptive	ADJ
cet-1161	25	10	weighting	weighting	NOUN
cet-1161	25	11	algorithm	algorithm	NOUN
cet-1161	25	12	and	and	CCONJ
cet-1161	25	13	calman	calman	NOUN
cet-1161	25	14	filter	filter	NOUN
cet-1161	25	15	algorithm	algorithm	NOUN
cet-1161	25	16	.	.	PUNCT
cet-1161	26	1	secondly	secondly	ADV
cet-1161	26	2	,	,	PUNCT
cet-1161	26	3	the	the	DET
cet-1161	26	4	pearson	pearson	PROPN
cet-1161	26	5	similarity	similarity	PROPN
cet-1161	26	6	algorithm	algorithm	NOUN
cet-1161	26	7	is	be	AUX
cet-1161	26	8	used	use	VERB
cet-1161	26	9	to	to	PART
cet-1161	26	10	extract	extract	VERB
cet-1161	26	11	some	some	DET
cet-1161	26	12	nodes	node	NOUN
cet-1161	26	13	with	with	ADP
cet-1161	26	14	high	high	ADJ
cet-1161	26	15	similarity	similarity	NOUN
cet-1161	26	16	,	,	PUNCT
cet-1161	26	17	and	and	CCONJ
cet-1161	26	18	then	then	ADV
cet-1161	26	19	the	the	DET
cet-1161	26	20	average	average	ADJ
cet-1161	26	21	values	value	NOUN
cet-1161	26	22	of	of	ADP
cet-1161	26	23	the	the	DET
cet-1161	26	24	two	two	NUM
cet-1161	26	25	algorithms	algorithm	NOUN
cet-1161	26	26	are	be	AUX
cet-1161	26	27	obtained	obtain	VERB
cet-1161	26	28	.	.	PUNCT
cet-1161	27	1	finally	finally	ADV
cet-1161	27	2	,	,	PUNCT
cet-1161	27	3	the	the	DET
cet-1161	27	4	experimental	experimental	ADJ
cet-1161	27	5	results	result	NOUN
cet-1161	27	6	show	show	VERB
cet-1161	27	7	that	that	SCONJ
cet-1161	27	8	the	the	DET
cet-1161	27	9	proposed	propose	VERB
cet-1161	27	10	algorithm	algorithm	NOUN
cet-1161	27	11	has	have	VERB
cet-1161	27	12	higher	high	ADJ
cet-1161	27	13	accuracy	accuracy	NOUN
cet-1161	27	14	and	and	CCONJ
cet-1161	27	15	lower	low	ADJ
cet-1161	27	16	energy	energy	NOUN
cet-1161	27	17	consumption	consumption	NOUN
cet-1161	27	18	.	.	PUNCT
cet-1161	28	1	doi	doi	NOUN
cet-1161	28	2	:	:	PUNCT
cet-1161	28	3	10.3303	10.3303	NUM
cet-1161	28	4	/	/	SYM
cet-1161	28	5	cet1759095	cet1759095	NOUN
cet-1161	28	6	please	please	INTJ
cet-1161	28	7	cite	cite	VERB
cet-1161	28	8	this	this	DET
cet-1161	28	9	article	article	NOUN
cet-1161	28	10	as	as	ADP
cet-1161	28	11	:	:	PUNCT
cet-1161	28	12	manzeng	manzeng	PROPN
cet-1161	28	13	ma	ma	PROPN
cet-1161	28	14	,	,	PUNCT
cet-1161	28	15	bo	bo	PROPN
cet-1161	28	16	zhang	zhang	PROPN
cet-1161	28	17	,	,	PUNCT
cet-1161	28	18	2017	2017	NUM
cet-1161	28	19	,	,	PUNCT
cet-1161	28	20	warning	warning	NOUN
cet-1161	28	21	system	system	NOUN
cet-1161	28	22	of	of	ADP
cet-1161	28	23	dangerous	dangerous	ADJ
cet-1161	28	24	chemical	chemical	NOUN
cet-1161	28	25	gas	gas	NOUN
cet-1161	28	26	in	in	ADP
cet-1161	28	27	factory	factory	NOUN
cet-1161	28	28	based	base	VERB
cet-1161	28	29	on	on	ADP
cet-1161	28	30	wireless	wireless	ADJ
cet-1161	28	31	sensor	sensor	NOUN
cet-1161	28	32	network	network	NOUN
cet-1161	28	33	,	,	PUNCT
cet-1161	28	34	chemical	chemical	NOUN
cet-1161	28	35	engineering	engineering	NOUN
cet-1161	28	36	transactions	transaction	NOUN
cet-1161	28	37	,	,	PUNCT
cet-1161	28	38	59	59	NUM
cet-1161	28	39	,	,	PUNCT
cet-1161	28	40	565	565	NUM
cet-1161	28	41	-	-	SYM
cet-1161	28	42	570	570	NUM
cet-1161	28	43	doi:10.3303	doi:10.3303	NOUN
cet-1161	28	44	/	/	SYM
cet-1161	28	45	cet1759095	cet1759095	NOUN
cet-1161	28	46	565	565	NUM
cet-1161	28	47	2	2	NUM
cet-1161	28	48	.	.	PUNCT
cet-1161	28	49	basic	basic	ADJ
cet-1161	28	50	theory	theory	NOUN
cet-1161	28	51	and	and	CCONJ
cet-1161	28	52	method	method	NOUN
cet-1161	28	53	2.1adaptive	2.1adaptive	NUM
cet-1161	28	54	weighting	weight	VERB
cet-1161	28	55	algorithm	algorithm	NOUN
cet-1161	28	56	adaptive	adaptive	ADJ
cet-1161	28	57	weighting	weighting	NOUN
cet-1161	28	58	algorithm	algorithm	NOUN
cet-1161	28	59	is	be	AUX
cet-1161	28	60	a	a	DET
cet-1161	28	61	flexible	flexible	ADJ
cet-1161	28	62	method	method	NOUN
cet-1161	28	63	in	in	ADP
cet-1161	28	64	the	the	DET
cet-1161	28	65	field	field	NOUN
cet-1161	28	66	of	of	ADP
cet-1161	28	67	data	datum	NOUN
cet-1161	28	68	fusion	fusion	NOUN
cet-1161	28	69	.	.	PUNCT
cet-1161	29	1	in	in	ADP
cet-1161	29	2	this	this	DET
cet-1161	29	3	algorithm	algorithm	NOUN
cet-1161	29	4	,	,	PUNCT
cet-1161	29	5	the	the	DET
cet-1161	29	6	monitoring	monitoring	NOUN
cet-1161	29	7	values	value	NOUN
cet-1161	29	8	collected	collect	VERB
cet-1161	29	9	by	by	ADP
cet-1161	29	10	each	each	DET
cet-1161	29	11	sensor	sensor	NOUN
cet-1161	29	12	node	node	NOUN
cet-1161	29	13	are	be	AUX
cet-1161	29	14	used	use	VERB
cet-1161	29	15	to	to	PART
cet-1161	29	16	determine	determine	VERB
cet-1161	29	17	the	the	DET
cet-1161	29	18	weight	weight	NOUN
cet-1161	29	19	coefficient	coefficient	NOUN
cet-1161	29	20	,	,	PUNCT
cet-1161	29	21	so	so	SCONJ
cet-1161	29	22	that	that	SCONJ
cet-1161	29	23	the	the	DET
cet-1161	29	24	fused	fuse	VERB
cet-1161	29	25	result	result	NOUN
cet-1161	29	26	will	will	AUX
cet-1161	29	27	be	be	AUX
cet-1161	29	28	close	close	ADJ
cet-1161	29	29	to	to	ADP
cet-1161	29	30	the	the	DET
cet-1161	29	31	true	true	ADJ
cet-1161	29	32	value	value	NOUN
cet-1161	29	33	.	.	PUNCT
cet-1161	30	1	compared	compare	VERB
cet-1161	30	2	with	with	ADP
cet-1161	30	3	other	other	ADJ
cet-1161	30	4	traditional	traditional	ADJ
cet-1161	30	5	data	datum	NOUN
cet-1161	30	6	fusion	fusion	NOUN
cet-1161	30	7	algorithms	algorithm	NOUN
cet-1161	30	8	,	,	PUNCT
cet-1161	30	9	we	we	PRON
cet-1161	30	10	can	can	AUX
cet-1161	30	11	get	get	VERB
cet-1161	30	12	a	a	DET
cet-1161	30	13	better	well	ADJ
cet-1161	30	14	fusion	fusion	NOUN
cet-1161	30	15	value	value	NOUN
cet-1161	30	16	,	,	PUNCT
cet-1161	30	17	which	which	PRON
cet-1161	30	18	can	can	AUX
cet-1161	30	19	provide	provide	VERB
cet-1161	30	20	more	more	ADV
cet-1161	30	21	accurate	accurate	ADJ
cet-1161	30	22	data	datum	NOUN
cet-1161	30	23	for	for	ADP
cet-1161	30	24	advanced	advanced	ADJ
cet-1161	30	25	fusion	fusion	NOUN
cet-1161	30	26	(	(	PUNCT
cet-1161	30	27	qiu	qiu	PROPN
cet-1161	30	28	,	,	PUNCT
cet-1161	30	29	2012	2012	NUM
cet-1161	30	30	)	)	PUNCT
cet-1161	30	31	)	)	PUNCT
cet-1161	30	32	.	.	PUNCT
cet-1161	31	1	assuming	assume	VERB
cet-1161	31	2	that	that	SCONJ
cet-1161	31	3	in	in	ADP
cet-1161	31	4	a	a	DET
cet-1161	31	5	wireless	wireless	ADJ
cet-1161	31	6	sensor	sensor	NOUN
cet-1161	31	7	area	area	NOUN
cet-1161	31	8	,	,	PUNCT
cet-1161	31	9	m	m	VERB
cet-1161	31	10	is	be	AUX
cet-1161	31	11	the	the	DET
cet-1161	31	12	total	total	ADJ
cet-1161	31	13	number	number	NOUN
cet-1161	31	14	of	of	ADP
cet-1161	31	15	sensor	sensor	NOUN
cet-1161	31	16	nodes	node	NOUN
cet-1161	31	17	,	,	PUNCT
cet-1161	31	18	n	n	X
cet-1161	31	19	is	be	AUX
cet-1161	31	20	the	the	DET
cet-1161	31	21	number	number	NOUN
cet-1161	31	22	of	of	ADP
cet-1161	31	23	objects	object	NOUN
cet-1161	31	24	which	which	PRON
cet-1161	31	25	need	need	VERB
cet-1161	31	26	to	to	PART
cet-1161	31	27	be	be	AUX
cet-1161	31	28	monitored	monitor	VERB
cet-1161	31	29	,	,	PUNCT
cet-1161	31	30	and	and	CCONJ
cet-1161	31	31	tij	tij	PROPN
cet-1161	31	32	is	be	AUX
cet-1161	31	33	the	the	DET
cet-1161	31	34	monitoring	monitor	VERB
cet-1161	31	35	information	information	NOUN
cet-1161	31	36	of	of	ADP
cet-1161	31	37	the	the	DET
cet-1161	31	38	object	object	NOUN
cet-1161	31	39	j	j	PROPN
cet-1161	31	40	from	from	ADP
cet-1161	31	41	sensor	sensor	PROPN
cet-1161	31	42	i.	i.	NOUN
cet-1161	31	43	where	where	SCONJ
cet-1161	31	44	,	,	PUNCT
cet-1161	31	45	i=1	i=1	PROPN
cet-1161	31	46	,	,	PUNCT
cet-1161	31	47	2	2	NUM
cet-1161	31	48	,	,	PUNCT
cet-1161	31	49	3	3	NUM
cet-1161	31	50	…	…	SYM
cet-1161	31	51	m	m	PRON
cet-1161	31	52	,	,	PUNCT
cet-1161	31	53	j=1	j=1	NOUN
cet-1161	31	54	,	,	PUNCT
cet-1161	31	55	2	2	NUM
cet-1161	31	56	,	,	PUNCT
cet-1161	31	57	3	3	NUM
cet-1161	31	58	…	…	SYM
cet-1161	31	59	n.	n.	NOUN
cet-1161	31	60	the	the	DET
cet-1161	31	61	matrix	matrix	NOUN
cet-1161	31	62	tij	tij	NOUN
cet-1161	31	63	can	can	AUX
cet-1161	31	64	be	be	AUX
cet-1161	31	65	expressed	express	VERB
cet-1161	31	66	as	as	ADP
cet-1161	31	67	:	:	PUNCT
cet-1161	31	68	11	11	NUM
cet-1161	31	69	1	1	NUM
cet-1161	31	70	1	1	NUM
cet-1161	31	71	1	1	NUM
cet-1161	31	72	1	1	NUM
cet-1161	31	73	j	j	NOUN
cet-1161	31	74	n	n	NUM
cet-1161	31	75	ij	ij	INTJ
cet-1161	31	76	i	i	PRON
cet-1161	31	77	in	in	ADP
cet-1161	31	78	m	m	PROPN
cet-1161	31	79	mj	mj	PROPN
cet-1161	31	80	mn	mn	PROPN
cet-1161	31	81	t	t	PROPN
cet-1161	31	82	t	t	PROPN
cet-1161	31	83	t	t	PROPN
cet-1161	31	84	t	t	PROPN
cet-1161	31	85	t	t	PROPN
cet-1161	31	86	t	t	PROPN
cet-1161	31	87	t	t	PROPN
cet-1161	31	88	t	t	PROPN
cet-1161	31	89	t	t	PROPN
cet-1161	31	90			NOUN
cet-1161	32	1			PROPN
cet-1161	32	2			PROPN
cet-1161	32	3			PROPN
cet-1161	33	1			PROPN
cet-1161	34	1			PROPN
cet-1161	35	1			PROPN
cet-1161	36	1	=	=	PROPN
cet-1161	37	1			PROPN
cet-1161	38	1			PROPN
cet-1161	38	2			PROPN
cet-1161	39	1			INTJ
cet-1161	40	1			PROPN
cet-1161	40	2			PROPN
cet-1161	41	1			PROPN
cet-1161	41	2			PROPN
cet-1161	41	3			NUM
cet-1161	41	4			NUM
cet-1161	41	5			NUM
cet-1161	41	6			PROPN
cet-1161	41	7			PROPN
cet-1161	41	8			VERB
cet-1161	41	9			ADJ
cet-1161	41	10			NOUN
cet-1161	41	11			NOUN
cet-1161	41	12	(	(	PUNCT
cet-1161	41	13	1	1	NUM
cet-1161	41	14	)	)	PUNCT
cet-1161	41	15	then	then	ADV
cet-1161	41	16	,	,	PUNCT
cet-1161	41	17	the	the	DET
cet-1161	41	18	final	final	ADJ
cet-1161	41	19	monitoring	monitoring	NOUN
cet-1161	41	20	information	information	NOUN
cet-1161	41	21	of	of	ADP
cet-1161	41	22	the	the	DET
cet-1161	41	23	sensor	sensor	NOUN
cet-1161	41	24	network	network	NOUN
cet-1161	41	25	to	to	ADP
cet-1161	41	26	the	the	DET
cet-1161	41	27	object	object	NOUN
cet-1161	41	28	j	j	PROPN
cet-1161	41	29	is	be	AUX
cet-1161	41	30	calculated	calculate	VERB
cet-1161	41	31	as	as	SCONJ
cet-1161	41	32	follows	follow	VERB
cet-1161	41	33	:	:	PUNCT
cet-1161	41	34	1	1	NUM
cet-1161	41	35	m	m	NOUN
cet-1161	41	36	j	j	NOUN
cet-1161	42	1	i	i	PRON
cet-1161	42	2	ij	ij	INTJ
cet-1161	43	1	i	i	PRON
cet-1161	44	1	ij	ij	INTJ
cet-1161	45	1	i	i	PRON
cet-1161	45	2	t	t	VERB
cet-1161	45	3	wt	wt	PROPN
cet-1161	45	4	w	w	PROPN
cet-1161	45	5	t	t	NOUN
cet-1161	45	6	=	=	PUNCT
cet-1161	46	1	=	=	PUNCT
cet-1161	46	2	=	=	X
cet-1161	46	3			X
cet-1161	46	4			X
cet-1161	46	5	(	(	PUNCT
cet-1161	46	6	2	2	X
cet-1161	46	7	)	)	PUNCT
cet-1161	46	8	in	in	ADP
cet-1161	46	9	the	the	DET
cet-1161	46	10	above	above	ADJ
cet-1161	46	11	formula	formula	NOUN
cet-1161	46	12	,	,	PUNCT
cet-1161	46	13	wi	wi	PROPN
cet-1161	46	14	represents	represent	VERB
cet-1161	46	15	the	the	DET
cet-1161	46	16	weight	weight	NOUN
cet-1161	46	17	of	of	ADP
cet-1161	46	18	a	a	DET
cet-1161	46	19	sensor	sensor	NOUN
cet-1161	46	20	node	node	NOUN
cet-1161	46	21	,	,	PUNCT
cet-1161	46	22	and	and	CCONJ
cet-1161	46	23	the	the	DET
cet-1161	46	24	weights	weight	NOUN
cet-1161	46	25	of	of	ADP
cet-1161	46	26	all	all	DET
cet-1161	46	27	nodes	node	NOUN
cet-1161	46	28	satisfy	satisfy	VERB
cet-1161	46	29	the	the	DET
cet-1161	46	30	following	follow	VERB
cet-1161	46	31	formula	formula	NOUN
cet-1161	46	32	:	:	PUNCT
cet-1161	46	33	1	1	NUM
cet-1161	46	34	1	1	NUM
cet-1161	46	35	m	m	VERB
cet-1161	47	1	i	i	INTJ
cet-1161	48	1	i	i	INTJ
cet-1161	49	1	i	i	VERB
cet-1161	50	1	w	w	VERB
cet-1161	50	2	w	w	NOUN
cet-1161	50	3	=	=	SYM
cet-1161	51	1	=	=	SYM
cet-1161	51	2	=	=	NOUN
cet-1161	51	3			X
cet-1161	51	4			X
cet-1161	51	5	(	(	PUNCT
cet-1161	51	6	3	3	X
cet-1161	51	7	)	)	PUNCT
cet-1161	51	8	the	the	DET
cet-1161	51	9	measurement	measurement	NOUN
cet-1161	51	10	variance	variance	NOUN
cet-1161	51	11	of	of	ADP
cet-1161	51	12	each	each	DET
cet-1161	51	13	sensor	sensor	NOUN
cet-1161	51	14	node	node	NOUN
cet-1161	51	15	is	be	AUX
cet-1161	51	16	defined	define	VERB
cet-1161	51	17	as	as	ADP
cet-1161	51	18	σ1	σ1	PROPN
cet-1161	51	19	,	,	PUNCT
cet-1161	51	20	σ2	σ2	PROPN
cet-1161	51	21	,	,	PUNCT
cet-1161	51	22	σ3	σ3	PROPN
cet-1161	51	23	…	…	PUNCT
cet-1161	51	24	,	,	PUNCT
cet-1161	51	25	σm	σm	NOUN
cet-1161	51	26	,	,	PUNCT
cet-1161	51	27	and	and	CCONJ
cet-1161	51	28	the	the	DET
cet-1161	51	29	total	total	ADJ
cet-1161	51	30	variance	variance	NOUN
cet-1161	51	31	is	be	AUX
cet-1161	51	32	calculated	calculate	VERB
cet-1161	51	33	as	as	SCONJ
cet-1161	51	34	follows	follow	VERB
cet-1161	51	35	:	:	PUNCT
cet-1161	51	36	m	m	VERB
cet-1161	51	37	2	2	NUM
cet-1161	51	38	2	2	NUM
cet-1161	51	39	2	2	NUM
cet-1161	52	1	i	i	PRON
cet-1161	52	2	i	i	PRON
cet-1161	52	3	i=1	i=1	X
cet-1161	52	4	=	=	PUNCT
cet-1161	52	5	e[(t	e[(t	PROPN
cet-1161	52	6	t	t	PROPN
cet-1161	52	7	)	)	PUNCT
cet-1161	52	8	]	]	PUNCT
cet-1161	53	1	=	=	PUNCT
cet-1161	53	2	wσ	wσ	VERB
cet-1161	53	3	σ	σ	ADV
cet-1161	53	4	(	(	PUNCT
cet-1161	53	5	4	4	NUM
cet-1161	53	6	)	)	PUNCT
cet-1161	53	7	through	through	ADP
cet-1161	53	8	the	the	DET
cet-1161	53	9	formula	formula	NOUN
cet-1161	53	10	,	,	PUNCT
cet-1161	53	11	we	we	PRON
cet-1161	53	12	can	can	AUX
cet-1161	53	13	get	get	VERB
cet-1161	53	14	that	that	SCONJ
cet-1161	53	15	the	the	DET
cet-1161	53	16	total	total	ADJ
cet-1161	53	17	mean	mean	ADJ
cet-1161	53	18	square	square	ADJ
cet-1161	53	19	error	error	NOUN
cet-1161	53	20	σ	σ	NOUN
cet-1161	53	21	is	be	AUX
cet-1161	53	22	a	a	DET
cet-1161	53	23	quadratic	quadratic	ADJ
cet-1161	53	24	function	function	NOUN
cet-1161	53	25	.	.	PUNCT
cet-1161	54	1	according	accord	VERB
cet-1161	54	2	to	to	ADP
cet-1161	54	3	the	the	DET
cet-1161	54	4	principle	principle	NOUN
cet-1161	54	5	of	of	ADP
cet-1161	54	6	calculating	calculate	VERB
cet-1161	54	7	minimum	minimum	ADJ
cet-1161	54	8	value	value	NOUN
cet-1161	54	9	of	of	ADP
cet-1161	54	10	variance	variance	NOUN
cet-1161	54	11	function	function	NOUN
cet-1161	54	12	,	,	PUNCT
cet-1161	54	13	we	we	PRON
cet-1161	54	14	can	can	AUX
cet-1161	54	15	get	get	VERB
cet-1161	54	16	the	the	DET
cet-1161	54	17	partial	partial	ADJ
cet-1161	54	18	derivative	derivative	NOUN
cet-1161	54	19	of	of	ADP
cet-1161	54	20	the	the	DET
cet-1161	54	21	above	above	ADJ
cet-1161	54	22	formula	formula	NOUN
cet-1161	54	23	.	.	PUNCT
cet-1161	55	1	1	1	NUM
cet-1161	55	2	1	1	NUM
cet-1161	55	3	i	i	PRON
cet-1161	55	4	m	m	VERB
cet-1161	55	5	i	i	INTJ
cet-1161	56	1	i	i	VERB
cet-1161	56	2	0	0	PUNCT
cet-1161	57	1	w	w	VERB
cet-1161	57	2	(	(	PUNCT
cet-1161	57	3	i	i	NOUN
cet-1161	57	4	=	=	NOUN
cet-1161	57	5	1,2,3	1,2,3	NUM
cet-1161	57	6	n	n	CCONJ
cet-1161	57	7	)	)	PUNCT
cet-1161	57	8	w	w	PROPN
cet-1161	57	9	σ	σ	PROPN
cet-1161	57	10	=	=	PUNCT
cet-1161	58	1	∂	∂	PROPN
cet-1161	58	2	=	=	NUM
cet-1161	58	3	∂	∂	ADJ
cet-1161	58	4			NOUN
cet-1161	58	5			NUM
cet-1161	58	6	=	=	NOUN
cet-1161	58	7			X
cet-1161	58	8			X
cet-1161	58	9			NOUN
cet-1161	58	10	(	(	PUNCT
cet-1161	58	11	5	5	NUM
cet-1161	58	12	)	)	PUNCT
cet-1161	58	13	the	the	DET
cet-1161	58	14	weight	weight	NOUN
cet-1161	58	15	under	under	ADP
cet-1161	58	16	the	the	DET
cet-1161	58	17	condition	condition	NOUN
cet-1161	58	18	of	of	ADP
cet-1161	58	19	minimum	minimum	ADJ
cet-1161	58	20	mean	mean	NOUN
cet-1161	58	21	square	square	NOUN
cet-1161	58	22	error	error	NOUN
cet-1161	58	23	is	be	AUX
cet-1161	58	24	as	as	SCONJ
cet-1161	58	25	follows	follow	VERB
cet-1161	58	26	:	:	PUNCT
cet-1161	58	27	2	2	NUM
cet-1161	58	28	2	2	NUM
cet-1161	58	29	1	1	NUM
cet-1161	58	30	1i	1i	NOUN
cet-1161	58	31	m	m	VERB
cet-1161	59	1	i	i	PRON
cet-1161	59	2	l=1	l=1	VERB
cet-1161	60	1	l	l	INTJ
cet-1161	60	2	w	w	VERB
cet-1161	61	1	i	i	NOUN
cet-1161	61	2	=	=	NOUN
cet-1161	62	1	1,2,3	1,2,3	NUM
cet-1161	62	2	n	n	NOUN
cet-1161	62	3	σ	σ	PROPN
cet-1161	62	4	σ	σ	X
cet-1161	62	5	=	=	X
cet-1161	62	6			NUM
cet-1161	62	7			NOUN
cet-1161	62	8	(	(	PUNCT
cet-1161	62	9	6	6	NUM
cet-1161	62	10	)	)	PUNCT
cet-1161	62	11	finally	finally	ADV
cet-1161	62	12	,	,	PUNCT
cet-1161	62	13	we	we	PRON
cet-1161	62	14	get	get	VERB
cet-1161	62	15	the	the	DET
cet-1161	62	16	minimum	minimum	ADJ
cet-1161	62	17	mean	mean	NOUN
cet-1161	62	18	square	square	NOUN
cet-1161	62	19	error	error	NOUN
cet-1161	62	20	by	by	ADP
cet-1161	62	21	the	the	DET
cet-1161	62	22	following	follow	VERB
cet-1161	62	23	formula	formula	NOUN
cet-1161	62	24	.	.	PUNCT
cet-1161	63	1	2	2	NUM
cet-1161	63	2	1	1	NUM
cet-1161	63	3	1	1	NUM
cet-1161	63	4	2	2	NUM
cet-1161	63	5	min	min	NOUN
cet-1161	63	6	m	m	NOUN
cet-1161	63	7	l=1	l=1	NOUN
cet-1161	63	8	l	l	NOUN
cet-1161	63	9	σ	σ	PROPN
cet-1161	63	10	σ	σ	X
cet-1161	63	11	=	=	X
cet-1161	63	12			X
cet-1161	63	13	(	(	PUNCT
cet-1161	63	14	7	7	X
cet-1161	63	15	)	)	PUNCT
cet-1161	63	16	the	the	DET
cet-1161	63	17	advantage	advantage	NOUN
cet-1161	63	18	of	of	ADP
cet-1161	63	19	adaptive	adaptive	ADJ
cet-1161	63	20	weighted	weight	VERB
cet-1161	63	21	data	data	NOUN
cet-1161	63	22	fusion	fusion	NOUN
cet-1161	63	23	algorithm	algorithm	NOUN
cet-1161	63	24	is	be	AUX
cet-1161	63	25	that	that	SCONJ
cet-1161	63	26	it	it	PRON
cet-1161	63	27	does	do	AUX
cet-1161	63	28	not	not	PART
cet-1161	63	29	need	need	VERB
cet-1161	63	30	the	the	DET
cet-1161	63	31	prior	prior	ADJ
cet-1161	63	32	probability	probability	NOUN
cet-1161	63	33	distribution	distribution	NOUN
cet-1161	63	34	of	of	ADP
cet-1161	63	35	the	the	DET
cet-1161	63	36	data	datum	NOUN
cet-1161	63	37	and	and	CCONJ
cet-1161	63	38	it	it	PRON
cet-1161	63	39	can	can	AUX
cet-1161	63	40	quickly	quickly	ADV
cet-1161	63	41	determine	determine	VERB
cet-1161	63	42	the	the	DET
cet-1161	63	43	weights	weight	NOUN
cet-1161	63	44	of	of	ADP
cet-1161	63	45	each	each	DET
cet-1161	63	46	sensor	sensor	NOUN
cet-1161	63	47	according	accord	VERB
cet-1161	63	48	to	to	ADP
cet-1161	63	49	their	their	PRON
cet-1161	63	50	variance	variance	NOUN
cet-1161	63	51	.	.	PUNCT
cet-1161	64	1	what	what	PRON
cet-1161	64	2	is	be	AUX
cet-1161	64	3	more	more	ADJ
cet-1161	64	4	,	,	PUNCT
cet-1161	64	5	it	it	PRON
cet-1161	64	6	has	have	VERB
cet-1161	64	7	a	a	DET
cet-1161	64	8	strong	strong	ADJ
cet-1161	64	9	fault	fault	NOUN
cet-1161	64	10	tolerance	tolerance	NOUN
cet-1161	64	11	and	and	CCONJ
cet-1161	64	12	anti	anti	ADJ
cet-1161	64	13	-	-	ADJ
cet-1161	64	14	interference	interference	ADJ
cet-1161	64	15	ability	ability	NOUN
cet-1161	64	16	566	566	NUM
cet-1161	64	17	2.2	2.2	NUM
cet-1161	64	18	calman	calman	NOUN
cet-1161	64	19	filtering	filter	VERB
cet-1161	64	20	algorithm	algorithm	NOUN
cet-1161	64	21	calman	calman	NOUN
cet-1161	64	22	filtering	filter	VERB
cet-1161	64	23	algorithm	algorithm	NOUN
cet-1161	64	24	is	be	AUX
cet-1161	64	25	a	a	DET
cet-1161	64	26	method	method	NOUN
cet-1161	64	27	of	of	ADP
cet-1161	64	28	valuation	valuation	NOUN
cet-1161	64	29	based	base	VERB
cet-1161	64	30	on	on	ADP
cet-1161	64	31	minimum	minimum	ADJ
cet-1161	64	32	variance	variance	NOUN
cet-1161	64	33	.	.	PUNCT
cet-1161	65	1	this	this	DET
cet-1161	65	2	method	method	NOUN
cet-1161	65	3	is	be	AUX
cet-1161	65	4	suitable	suitable	ADJ
cet-1161	65	5	for	for	ADP
cet-1161	65	6	the	the	DET
cet-1161	65	7	redundant	redundant	ADJ
cet-1161	65	8	data	datum	NOUN
cet-1161	65	9	processing	processing	NOUN
cet-1161	65	10	under	under	ADP
cet-1161	65	11	the	the	DET
cet-1161	65	12	condition	condition	NOUN
cet-1161	65	13	that	that	SCONJ
cet-1161	65	14	the	the	DET
cet-1161	65	15	environment	environment	NOUN
cet-1161	65	16	around	around	ADP
cet-1161	65	17	the	the	DET
cet-1161	65	18	sensor	sensor	NOUN
cet-1161	65	19	node	node	NOUN
cet-1161	65	20	changes	change	NOUN
cet-1161	65	21	at	at	ADP
cet-1161	65	22	any	any	DET
cet-1161	65	23	time	time	NOUN
cet-1161	65	24	.	.	PUNCT
cet-1161	66	1	the	the	DET
cet-1161	66	2	optimal	optimal	ADJ
cet-1161	66	3	estimate	estimate	NOUN
cet-1161	66	4	of	of	ADP
cet-1161	66	5	the	the	DET
cet-1161	66	6	present	present	ADJ
cet-1161	66	7	time	time	NOUN
cet-1161	66	8	is	be	AUX
cet-1161	66	9	obtained	obtain	VERB
cet-1161	66	10	based	base	VERB
cet-1161	66	11	on	on	ADP
cet-1161	66	12	the	the	DET
cet-1161	66	13	optimal	optimal	ADJ
cet-1161	66	14	estimate	estimate	NOUN
cet-1161	66	15	of	of	ADP
cet-1161	66	16	the	the	DET
cet-1161	66	17	system	system	NOUN
cet-1161	66	18	state	state	NOUN
cet-1161	66	19	at	at	ADP
cet-1161	66	20	the	the	DET
cet-1161	66	21	last	last	ADJ
cet-1161	66	22	moment	moment	NOUN
cet-1161	66	23	and	and	CCONJ
cet-1161	66	24	the	the	DET
cet-1161	66	25	observed	observed	ADJ
cet-1161	66	26	value	value	NOUN
cet-1161	66	27	of	of	ADP
cet-1161	66	28	the	the	DET
cet-1161	66	29	present	present	ADJ
cet-1161	66	30	time	time	NOUN
cet-1161	66	31	(	(	PUNCT
cet-1161	66	32	liu	liu	PROPN
cet-1161	66	33	,	,	PUNCT
cet-1161	66	34	2014	2014	NUM
cet-1161	66	35	)	)	PUNCT
cet-1161	66	36	.	.	PUNCT
cet-1161	67	1	the	the	DET
cet-1161	67	2	discrete	discrete	ADJ
cet-1161	67	3	state	state	NOUN
cet-1161	67	4	equation	equation	NOUN
cet-1161	67	5	of	of	ADP
cet-1161	67	6	linear	linear	ADJ
cet-1161	67	7	time	time	NOUN
cet-1161	67	8	-	-	PUNCT
cet-1161	67	9	varying	vary	VERB
cet-1161	67	10	system	system	NOUN
cet-1161	67	11	is	be	AUX
cet-1161	67	12	presented	present	VERB
cet-1161	67	13	:	:	PUNCT
cet-1161	67	14	(	(	PUNCT
cet-1161	67	15	)	)	PUNCT
cet-1161	67	16	(	(	PUNCT
cet-1161	67	17	1	1	X
cet-1161	67	18	)	)	PUNCT
cet-1161	67	19	(	(	PUNCT
cet-1161	67	20	)	)	PUNCT
cet-1161	67	21	(	(	PUNCT
cet-1161	67	22	)	)	PUNCT
cet-1161	67	23	s	s	PART
cet-1161	68	1	t	t	NOUN
cet-1161	68	2	f	f	PROPN
cet-1161	68	3	s	s	PROPN
cet-1161	68	4	t	t	PROPN
cet-1161	68	5	t	t	X
cet-1161	68	6	u	u	PROPN
cet-1161	68	7	t	t	PROPN
cet-1161	68	8	w	w	PROPN
cet-1161	68	9	t=	t=	PROPN
cet-1161	68	10	⋅	⋅	PROPN
cet-1161	68	11	−	−	PROPN
cet-1161	69	1	+	+	CCONJ
cet-1161	69	2	⋅	⋅	PROPN
cet-1161	69	3	+	+	CCONJ
cet-1161	69	4	(	(	PUNCT
cet-1161	69	5	8)	8)	NUM
cet-1161	69	6	in	in	ADP
cet-1161	69	7	the	the	DET
cet-1161	69	8	above	above	ADJ
cet-1161	69	9	formula	formula	NOUN
cet-1161	69	10	,	,	PUNCT
cet-1161	69	11	s(t	s(t	PROPN
cet-1161	69	12	)	)	PUNCT
cet-1161	69	13	and	and	CCONJ
cet-1161	69	14	w(t	w(t	PROPN
cet-1161	69	15	)	)	PUNCT
cet-1161	69	16	represent	represent	VERB
cet-1161	69	17	respectively	respectively	ADV
cet-1161	69	18	the	the	DET
cet-1161	69	19	state	state	NOUN
cet-1161	69	20	vector	vector	NOUN
cet-1161	69	21	and	and	CCONJ
cet-1161	69	22	measurement	measurement	NOUN
cet-1161	69	23	process	process	NOUN
cet-1161	69	24	of	of	ADP
cet-1161	69	25	moment	moment	NOUN
cet-1161	69	26	t.	t.	PROPN
cet-1161	69	27	f	f	PROPN
cet-1161	69	28	represents	represent	VERB
cet-1161	69	29	the	the	DET
cet-1161	69	30	state	state	NOUN
cet-1161	69	31	transition	transition	NOUN
cet-1161	69	32	matrix	matrix	NOUN
cet-1161	69	33	,	,	PUNCT
cet-1161	69	34	u(t	u(t	NOUN
cet-1161	69	35	)	)	PUNCT
cet-1161	69	36	represents	represent	VERB
cet-1161	69	37	the	the	DET
cet-1161	69	38	dynamic	dynamic	ADJ
cet-1161	69	39	noise	noise	NOUN
cet-1161	69	40	of	of	ADP
cet-1161	69	41	moment	moment	NOUN
cet-1161	69	42	t	t	NOUN
cet-1161	69	43	and	and	CCONJ
cet-1161	69	44	t	t	PROPN
cet-1161	69	45	represents	represent	VERB
cet-1161	69	46	the	the	DET
cet-1161	69	47	system	system	NOUN
cet-1161	69	48	control	control	NOUN
cet-1161	69	49	matrix	matrix	NOUN
cet-1161	69	50	.	.	PUNCT
cet-1161	70	1	the	the	DET
cet-1161	70	2	corresponding	correspond	VERB
cet-1161	70	3	observation	observation	NOUN
cet-1161	70	4	equation	equation	NOUN
cet-1161	70	5	is	be	AUX
cet-1161	70	6	:	:	PUNCT
cet-1161	70	7	(	(	PUNCT
cet-1161	70	8	)	)	PUNCT
cet-1161	70	9	(	(	PUNCT
cet-1161	70	10	)	)	PUNCT
cet-1161	70	11	(	(	PUNCT
cet-1161	71	1	)	)	PUNCT
cet-1161	71	2	y	y	PROPN
cet-1161	71	3	t	t	PROPN
cet-1161	71	4	h	h	NOUN
cet-1161	71	5	x	x	PROPN
cet-1161	71	6	t	t	PROPN
cet-1161	71	7	n	n	PROPN
cet-1161	71	8	t=	t=	PROPN
cet-1161	71	9	⋅	⋅	PROPN
cet-1161	71	10	+	+	CCONJ
cet-1161	71	11	(	(	PUNCT
cet-1161	71	12	9	9	NUM
cet-1161	71	13	)	)	PUNCT
cet-1161	71	14	where	where	SCONJ
cet-1161	71	15	,	,	PUNCT
cet-1161	71	16	y(t	y(t	PROPN
cet-1161	71	17	)	)	PUNCT
cet-1161	71	18	represents	represent	VERB
cet-1161	71	19	the	the	DET
cet-1161	71	20	observation	observation	NOUN
cet-1161	71	21	vector	vector	NOUN
cet-1161	71	22	,	,	PUNCT
cet-1161	71	23	n(t	n(t	PROPN
cet-1161	71	24	)	)	PUNCT
cet-1161	71	25	represents	represent	VERB
cet-1161	71	26	the	the	PRON
cet-1161	71	27	and	and	CCONJ
cet-1161	71	28	the	the	DET
cet-1161	71	29	observation	observation	NOUN
cet-1161	71	30	noise	noise	NOUN
cet-1161	71	31	and	and	CCONJ
cet-1161	71	32	h	h	NOUN
cet-1161	71	33	represents	represent	VERB
cet-1161	71	34	the	the	DET
cet-1161	71	35	observation	observation	NOUN
cet-1161	71	36	matrix	matrix	NOUN
cet-1161	71	37	at	at	ADP
cet-1161	71	38	moment	moment	NOUN
cet-1161	72	1	t.	t.	NOUN
cet-1161	72	2	we	we	PRON
cet-1161	72	3	assume	assume	VERB
cet-1161	72	4	that	that	SCONJ
cet-1161	72	5	they	they	PRON
cet-1161	72	6	are	be	AUX
cet-1161	72	7	consistent	consistent	ADJ
cet-1161	72	8	with	with	ADP
cet-1161	72	9	the	the	DET
cet-1161	72	10	gauss	gauss	ADJ
cet-1161	72	11	distribution	distribution	NOUN
cet-1161	72	12	noise	noise	NOUN
cet-1161	72	13	formula	formula	NOUN
cet-1161	72	14	,	,	PUNCT
cet-1161	72	15	and	and	CCONJ
cet-1161	72	16	the	the	DET
cet-1161	72	17	covariance	covariance	NOUN
cet-1161	72	18	is	be	AUX
cet-1161	72	19	respectively	respectively	ADV
cet-1161	72	20	q	q	NOUN
cet-1161	72	21	and	and	CCONJ
cet-1161	72	22	r.	r.	PROPN
cet-1161	72	23	in	in	ADP
cet-1161	72	24	this	this	DET
cet-1161	72	25	paper	paper	NOUN
cet-1161	72	26	,	,	PUNCT
cet-1161	72	27	we	we	PRON
cet-1161	72	28	assume	assume	VERB
cet-1161	72	29	that	that	SCONJ
cet-1161	72	30	the	the	DET
cet-1161	72	31	mean	mean	ADJ
cet-1161	72	32	square	square	ADJ
cet-1161	72	33	error	error	NOUN
cet-1161	72	34	does	do	AUX
cet-1161	72	35	not	not	PART
cet-1161	72	36	change	change	VERB
cet-1161	72	37	with	with	ADP
cet-1161	72	38	the	the	DET
cet-1161	72	39	change	change	NOUN
cet-1161	72	40	of	of	ADP
cet-1161	72	41	the	the	DET
cet-1161	72	42	system	system	NOUN
cet-1161	72	43	state	state	NOUN
cet-1161	72	44	.	.	PUNCT
cet-1161	73	1	based	base	VERB
cet-1161	73	2	on	on	ADP
cet-1161	73	3	the	the	DET
cet-1161	73	4	assumption	assumption	NOUN
cet-1161	73	5	above	above	ADV
cet-1161	73	6	,	,	PUNCT
cet-1161	73	7	we	we	PRON
cet-1161	73	8	can	can	AUX
cet-1161	73	9	get	get	VERB
cet-1161	73	10	the	the	DET
cet-1161	73	11	vector	vector	NOUN
cet-1161	73	12	estimate	estimate	NOUN
cet-1161	73	13	of	of	ADP
cet-1161	73	14	the	the	DET
cet-1161	73	15	next	next	ADJ
cet-1161	73	16	moment	moment	NOUN
cet-1161	73	17	.	.	PUNCT
cet-1161	74	1	(	(	PUNCT
cet-1161	74	2	|	|	ADV
cet-1161	74	3	)	)	PUNCT
cet-1161	74	4	(	(	PUNCT
cet-1161	74	5	|	|	ADV
cet-1161	74	6	)	)	PUNCT
cet-1161	74	7	(	(	PUNCT
cet-1161	74	8	)	)	PUNCT
cet-1161	74	9	s	s	AUX
cet-1161	74	10	t	t	PROPN
cet-1161	74	11	t	t	PROPN
cet-1161	74	12	t	t	PROPN
cet-1161	74	13	f	f	PROPN
cet-1161	74	14	s	s	PROPN
cet-1161	74	15	t	t	PROPN
cet-1161	74	16	t	t	PROPN
cet-1161	74	17	t	t	PROPN
cet-1161	74	18	u	u	PROPN
cet-1161	74	19	t+	t+	VERB
cet-1161	74	20	δ	δ	X
cet-1161	74	21	=	=	SYM
cet-1161	74	22	⋅	⋅	PROPN
cet-1161	75	1	+	+	CCONJ
cet-1161	75	2	⋅	⋅	PROPN
cet-1161	75	3	(	(	PUNCT
cet-1161	75	4	10	10	NUM
cet-1161	75	5	)	)	PUNCT
cet-1161	75	6	in	in	ADP
cet-1161	75	7	the	the	DET
cet-1161	75	8	above	above	ADJ
cet-1161	75	9	formula	formula	NOUN
cet-1161	75	10	,	,	PUNCT
cet-1161	75	11	s(t+δtt	s(t+δtt	PROPN
cet-1161	75	12	)	)	PUNCT
cet-1161	75	13	is	be	AUX
cet-1161	75	14	the	the	DET
cet-1161	75	15	estimated	estimate	VERB
cet-1161	75	16	value	value	NOUN
cet-1161	75	17	which	which	PRON
cet-1161	75	18	is	be	AUX
cet-1161	75	19	calculated	calculate	VERB
cet-1161	75	20	based	base	VERB
cet-1161	75	21	on	on	ADP
cet-1161	75	22	the	the	DET
cet-1161	75	23	vector	vector	NOUN
cet-1161	75	24	value	value	NOUN
cet-1161	75	25	of	of	ADP
cet-1161	75	26	moment	moment	NOUN
cet-1161	75	27	t	t	NOUN
cet-1161	75	28	,	,	PUNCT
cet-1161	75	29	u(t	u(t	PROPN
cet-1161	75	30	)	)	PUNCT
cet-1161	75	31	is	be	AUX
cet-1161	75	32	the	the	DET
cet-1161	75	33	state	state	NOUN
cet-1161	75	34	control	control	NOUN
cet-1161	75	35	vector	vector	NOUN
cet-1161	75	36	of	of	ADP
cet-1161	75	37	moments	moment	NOUN
cet-1161	75	38	t	t	PROPN
cet-1161	75	39	.	.	PUNCT
cet-1161	76	1	when	when	SCONJ
cet-1161	76	2	the	the	DET
cet-1161	76	3	control	control	NOUN
cet-1161	76	4	vector	vector	NOUN
cet-1161	76	5	does	do	AUX
cet-1161	76	6	not	not	PART
cet-1161	76	7	exist	exist	VERB
cet-1161	76	8	,	,	PUNCT
cet-1161	76	9	the	the	DET
cet-1161	76	10	value	value	NOUN
cet-1161	76	11	of	of	ADP
cet-1161	76	12	u(t	u(t	NOUN
cet-1161	76	13	)	)	PUNCT
cet-1161	76	14	will	will	AUX
cet-1161	76	15	be	be	AUX
cet-1161	76	16	0	0	NUM
cet-1161	76	17	.	.	PUNCT
cet-1161	77	1	using	use	VERB
cet-1161	77	2	c(t+δtt	c(t+δtt	PROPN
cet-1161	77	3	)	)	PUNCT
cet-1161	77	4	to	to	PART
cet-1161	77	5	represent	represent	VERB
cet-1161	77	6	the	the	DET
cet-1161	77	7	covariance	covariance	NOUN
cet-1161	77	8	of	of	ADP
cet-1161	77	9	s(t+δtt	s(t+δtt	PROPN
cet-1161	77	10	)	)	PUNCT
cet-1161	77	11	.	.	PUNCT
cet-1161	78	1	(	(	PUNCT
cet-1161	78	2	|	|	ADV
cet-1161	78	3	)	)	PUNCT
cet-1161	78	4	(	(	PUNCT
cet-1161	78	5	|	|	ADV
cet-1161	78	6	)	)	PUNCT
cet-1161	78	7	c	c	PROPN
cet-1161	79	1	t	t	PROPN
cet-1161	79	2	t	t	PROPN
cet-1161	79	3	t	t	X
cet-1161	79	4	f	f	PROPN
cet-1161	79	5	c	c	PROPN
cet-1161	79	6	t	t	PROPN
cet-1161	79	7	t	t	PROPN
cet-1161	79	8	f	f	PROPN
cet-1161	79	9	q′+	q′+	PROPN
cet-1161	79	10	δ	δ	PROPN
cet-1161	79	11	=	=	PUNCT
cet-1161	79	12	⋅	⋅	PROPN
cet-1161	79	13	⋅	⋅	X
cet-1161	79	14	+	+	CCONJ
cet-1161	79	15	(	(	PUNCT
cet-1161	79	16	11	11	NUM
cet-1161	79	17	)	)	PUNCT
cet-1161	79	18	we	we	PRON
cet-1161	79	19	use	use	VERB
cet-1161	79	20	c(tt	c(tt	NOUN
cet-1161	79	21	)	)	PUNCT
cet-1161	79	22	to	to	PART
cet-1161	79	23	represent	represent	VERB
cet-1161	79	24	the	the	DET
cet-1161	79	25	covariance	covariance	NOUN
cet-1161	79	26	of	of	ADP
cet-1161	79	27	s(tt	s(tt	NOUN
cet-1161	79	28	)	)	PUNCT
cet-1161	79	29	and	and	CCONJ
cet-1161	79	30	f′	f′	VERB
cet-1161	79	31	to	to	PART
cet-1161	79	32	represent	represent	VERB
cet-1161	79	33	the	the	DET
cet-1161	79	34	covariance	covariance	NOUN
cet-1161	79	35	of	of	ADP
cet-1161	79	36	matrix	matrix	NOUN
cet-1161	79	37	f.	f.	PROPN
cet-1161	80	1	so	so	SCONJ
cet-1161	80	2	we	we	PRON
cet-1161	80	3	can	can	AUX
cet-1161	80	4	get	get	VERB
cet-1161	80	5	the	the	DET
cet-1161	80	6	best	good	ADJ
cet-1161	80	7	estimate	estimate	NOUN
cet-1161	80	8	value	value	NOUN
cet-1161	80	9	of	of	ADP
cet-1161	80	10	moment	moment	NOUN
cet-1161	81	1	t+δt	t+δt	NOUN
cet-1161	81	2	:	:	PUNCT
cet-1161	81	3	(	(	PUNCT
cet-1161	81	4	|	|	ADV
cet-1161	81	5	)	)	PUNCT
cet-1161	81	6	(	(	PUNCT
cet-1161	81	7	|	|	ADV
cet-1161	81	8	)	)	PUNCT
cet-1161	81	9	(	(	PUNCT
cet-1161	81	10	)	)	PUNCT
cet-1161	81	11	(	(	PUNCT
cet-1161	81	12	(	(	PUNCT
cet-1161	81	13	)	)	PUNCT
cet-1161	81	14	(	(	PUNCT
cet-1161	81	15	|	|	ADV
cet-1161	81	16	)	)	PUNCT
cet-1161	81	17	)	)	PUNCT
cet-1161	81	18	s	s	PART
cet-1161	81	19	t	t	PROPN
cet-1161	81	20	t	t	PROPN
cet-1161	81	21	t	t	PROPN
cet-1161	81	22	t	t	PROPN
cet-1161	81	23	s	s	PROPN
cet-1161	81	24	t	t	PROPN
cet-1161	81	25	t	t	PROPN
cet-1161	82	1	t	t	PROPN
cet-1161	82	2	kg	kg	INTJ
cet-1161	83	1	t	t	PROPN
cet-1161	83	2	t	t	PROPN
cet-1161	83	3	y	y	PROPN
cet-1161	83	4	t	t	PROPN
cet-1161	83	5	t	t	PROPN
cet-1161	83	6	f	f	PROPN
cet-1161	83	7	s	s	PROPN
cet-1161	83	8	t	t	PROPN
cet-1161	83	9	t	t	NOUN
cet-1161	83	10	t+	t+	PUNCT
cet-1161	83	11	δ	δ	PROPN
cet-1161	83	12	+	+	CCONJ
cet-1161	83	13	δ	δ	X
cet-1161	83	14	=	=	PUNCT
cet-1161	84	1	+	+	NUM
cet-1161	84	2	δ	δ	PROPN
cet-1161	84	3	+	+	X
cet-1161	84	4	+	+	CCONJ
cet-1161	84	5	δ	δ	PROPN
cet-1161	84	6	⋅	⋅	PROPN
cet-1161	84	7	+	+	CCONJ
cet-1161	84	8	δ	δ	PROPN
cet-1161	84	9	−	−	PROPN
cet-1161	84	10	⋅	⋅	PROPN
cet-1161	84	11	+	+	CCONJ
cet-1161	84	12	δ	δ	PROPN
cet-1161	84	13	(	(	PUNCT
cet-1161	84	14	12	12	NUM
cet-1161	84	15	)	)	PUNCT
cet-1161	84	16	where	where	SCONJ
cet-1161	84	17	,	,	PUNCT
cet-1161	84	18	kg(t+δt	kg(t+δt	PROPN
cet-1161	84	19	)	)	PUNCT
cet-1161	84	20	represents	represent	VERB
cet-1161	84	21	the	the	DET
cet-1161	84	22	calman	calman	NOUN
cet-1161	84	23	gain	gain	NOUN
cet-1161	84	24	.	.	PUNCT
cet-1161	85	1	(	(	PUNCT
cet-1161	85	2	|	|	ADV
cet-1161	85	3	)	)	PUNCT
cet-1161	85	4	(	(	PUNCT
cet-1161	85	5	)	)	PUNCT
cet-1161	85	6	(	(	PUNCT
cet-1161	85	7	|	|	ADV
cet-1161	85	8	)	)	PUNCT
cet-1161	85	9	c	c	PROPN
cet-1161	86	1	t	t	PROPN
cet-1161	86	2	t	t	PROPN
cet-1161	86	3	t	t	PROPN
cet-1161	86	4	h	h	NOUN
cet-1161	87	1	kg	kg	INTJ
cet-1161	88	1	t	t	PROPN
cet-1161	88	2	t	t	PROPN
cet-1161	88	3	h	h	NOUN
cet-1161	89	1	c	c	PROPN
cet-1161	89	2	t	t	PROPN
cet-1161	89	3	t	t	PROPN
cet-1161	89	4	t	t	PROPN
cet-1161	89	5	h	h	NOUN
cet-1161	89	6	r	r	NOUN
cet-1161	89	7	′+	′+	PUNCT
cet-1161	89	8	δ	δ	NOUN
cet-1161	89	9	⋅+	⋅+	X
cet-1161	90	1	δ	δ	X
cet-1161	90	2	=	=	PUNCT
cet-1161	91	1	′⋅	′⋅	PROPN
cet-1161	91	2	+	+	CCONJ
cet-1161	91	3	δ	δ	PROPN
cet-1161	91	4	⋅	⋅	PROPN
cet-1161	91	5	+	+	CCONJ
cet-1161	91	6	(	(	PUNCT
cet-1161	91	7	13	13	NUM
cet-1161	91	8	)	)	PUNCT
cet-1161	91	9	therefore	therefore	ADV
cet-1161	91	10	,	,	PUNCT
cet-1161	91	11	we	we	PRON
cet-1161	91	12	can	can	AUX
cet-1161	91	13	get	get	VERB
cet-1161	91	14	the	the	DET
cet-1161	91	15	updated	update	VERB
cet-1161	91	16	covariance	covariance	NOUN
cet-1161	91	17	:	:	PUNCT
cet-1161	91	18	(	(	PUNCT
cet-1161	91	19	|	|	ADV
cet-1161	91	20	)	)	PUNCT
cet-1161	91	21	(	(	PUNCT
cet-1161	91	22	(	(	PUNCT
cet-1161	91	23	)	)	PUNCT
cet-1161	91	24	)	)	PUNCT
cet-1161	92	1	(	(	PUNCT
cet-1161	92	2	|	|	ADV
cet-1161	92	3	)	)	PUNCT
cet-1161	92	4	c	c	PROPN
cet-1161	92	5	t	t	PROPN
cet-1161	92	6	t	t	PROPN
cet-1161	92	7	t	t	PROPN
cet-1161	92	8	t	t	PROPN
cet-1161	92	9	m	m	VERB
cet-1161	92	10	kg	kg	INTJ
cet-1161	92	11	t	t	INTJ
cet-1161	92	12	h	h	NOUN
cet-1161	92	13	c	c	PROPN
cet-1161	92	14	t	t	PROPN
cet-1161	92	15	t	t	PROPN
cet-1161	92	16	t+	t+	VERB
cet-1161	92	17	δ	δ	PROPN
cet-1161	92	18	+	+	CCONJ
cet-1161	92	19	δ	δ	PROPN
cet-1161	92	20	=	=	SYM
cet-1161	93	1	−	−	PROPN
cet-1161	93	2	⋅	⋅	PROPN
cet-1161	93	3	⋅	⋅	PROPN
cet-1161	93	4	+	+	PROPN
cet-1161	93	5	δ	δ	PROPN
cet-1161	93	6	(	(	PUNCT
cet-1161	93	7	14	14	NUM
cet-1161	93	8	)	)	PUNCT
cet-1161	93	9	for	for	ADP
cet-1161	93	10	a	a	DET
cet-1161	93	11	single	single	ADJ
cet-1161	93	12	model	model	NOUN
cet-1161	93	13	:	:	PUNCT
cet-1161	93	14	1	1	NUM
cet-1161	93	15	m	m	NOUN
cet-1161	93	16	=	=	PUNCT
cet-1161	93	17	(	(	PUNCT
cet-1161	93	18	15	15	NUM
cet-1161	93	19	)	)	PUNCT
cet-1161	93	20	in	in	ADP
cet-1161	93	21	calman	calman	NOUN
cet-1161	93	22	filtering	filtering	NOUN
cet-1161	93	23	algorithm	algorithm	NOUN
cet-1161	93	24	,	,	PUNCT
cet-1161	93	25	the	the	DET
cet-1161	93	26	noise	noise	NOUN
cet-1161	93	27	contained	contain	VERB
cet-1161	93	28	in	in	ADP
cet-1161	93	29	measurement	measurement	NOUN
cet-1161	93	30	data	datum	NOUN
cet-1161	93	31	is	be	AUX
cet-1161	93	32	required	require	VERB
cet-1161	93	33	to	to	PART
cet-1161	93	34	obey	obey	VERB
cet-1161	93	35	the	the	DET
cet-1161	93	36	gauss	gauss	ADJ
cet-1161	93	37	white	white	PROPN
cet-1161	93	38	noise	noise	NOUN
cet-1161	93	39	distribution	distribution	NOUN
cet-1161	93	40	.	.	PUNCT
cet-1161	94	1	otherwise	otherwise	ADV
cet-1161	94	2	,	,	PUNCT
cet-1161	94	3	it	it	PRON
cet-1161	94	4	will	will	AUX
cet-1161	94	5	bring	bring	VERB
cet-1161	94	6	greater	great	ADJ
cet-1161	94	7	distortion	distortion	NOUN
cet-1161	94	8	when	when	SCONJ
cet-1161	94	9	they	they	PRON
cet-1161	94	10	do	do	AUX
cet-1161	94	11	not	not	PART
cet-1161	94	12	obey	obey	VERB
cet-1161	94	13	the	the	DET
cet-1161	94	14	gauss	gauss	ADJ
cet-1161	94	15	distribution	distribution	NOUN
cet-1161	94	16	.	.	PUNCT
cet-1161	95	1	567	567	NUM
cet-1161	95	2	3	3	NUM
cet-1161	95	3	.	.	PUNCT
cet-1161	95	4	improved	improve	VERB
cet-1161	95	5	hybrid	hybrid	ADJ
cet-1161	95	6	data	datum	NOUN
cet-1161	95	7	fusion	fusion	NOUN
cet-1161	95	8	algorithm	algorithm	NOUN
cet-1161	95	9	the	the	DET
cet-1161	95	10	hybrid	hybrid	ADJ
cet-1161	95	11	data	datum	NOUN
cet-1161	95	12	fusion	fusion	NOUN
cet-1161	95	13	algorithm	algorithm	NOUN
cet-1161	95	14	in	in	ADP
cet-1161	95	15	this	this	DET
cet-1161	95	16	paper	paper	NOUN
cet-1161	95	17	is	be	AUX
cet-1161	95	18	based	base	VERB
cet-1161	95	19	on	on	ADP
cet-1161	95	20	adaptive	adaptive	ADJ
cet-1161	95	21	weighting	weighting	NOUN
cet-1161	95	22	algorithm	algorithm	NOUN
cet-1161	95	23	and	and	CCONJ
cet-1161	95	24	calman	calman	NOUN
cet-1161	95	25	filtering	filtering	NOUN
cet-1161	95	26	algorithm	algorithm	NOUN
cet-1161	95	27	.	.	PUNCT
cet-1161	96	1	by	by	ADP
cet-1161	96	2	making	make	VERB
cet-1161	96	3	pearson	pearson	PROPN
cet-1161	96	4	similarity	similarity	NOUN
cet-1161	96	5	analysis	analysis	NOUN
cet-1161	96	6	on	on	ADP
cet-1161	96	7	the	the	DET
cet-1161	96	8	data	datum	NOUN
cet-1161	96	9	matrix	matrix	NOUN
cet-1161	96	10	of	of	ADP
cet-1161	96	11	the	the	DET
cet-1161	96	12	two	two	NUM
cet-1161	96	13	algorithms	algorithm	NOUN
cet-1161	96	14	,	,	PUNCT
cet-1161	96	15	we	we	PRON
cet-1161	96	16	can	can	AUX
cet-1161	96	17	get	get	VERB
cet-1161	96	18	the	the	DET
cet-1161	96	19	similarity	similarity	NOUN
cet-1161	96	20	matrix	matrix	NOUN
cet-1161	96	21	.	.	PUNCT
cet-1161	97	1	then	then	ADV
cet-1161	97	2	,	,	PUNCT
cet-1161	97	3	we	we	PRON
cet-1161	97	4	extract	extract	VERB
cet-1161	97	5	the	the	DET
cet-1161	97	6	nodes	node	NOUN
cet-1161	97	7	with	with	ADP
cet-1161	97	8	high	high	ADJ
cet-1161	97	9	similarity	similarity	NOUN
cet-1161	97	10	by	by	ADP
cet-1161	97	11	setting	set	VERB
cet-1161	97	12	a	a	DET
cet-1161	97	13	threshold	threshold	NOUN
cet-1161	97	14	.	.	PUNCT
cet-1161	98	1	when	when	SCONJ
cet-1161	98	2	the	the	DET
cet-1161	98	3	similarity	similarity	NOUN
cet-1161	98	4	of	of	ADP
cet-1161	98	5	a	a	DET
cet-1161	98	6	node	node	NOUN
cet-1161	98	7	is	be	AUX
cet-1161	98	8	less	less	ADJ
cet-1161	98	9	than	than	ADP
cet-1161	98	10	the	the	DET
cet-1161	98	11	threshold	threshold	NOUN
cet-1161	98	12	value	value	NOUN
cet-1161	98	13	,	,	PUNCT
cet-1161	98	14	the	the	DET
cet-1161	98	15	node	node	NOUN
cet-1161	98	16	is	be	AUX
cet-1161	98	17	abandoned	abandon	VERB
cet-1161	98	18	.	.	PUNCT
cet-1161	99	1	conversely	conversely	ADV
cet-1161	99	2	,	,	PUNCT
cet-1161	99	3	the	the	DET
cet-1161	99	4	monitoring	monitoring	NOUN
cet-1161	99	5	information	information	NOUN
cet-1161	99	6	of	of	ADP
cet-1161	99	7	the	the	DET
cet-1161	99	8	corresponding	corresponding	ADJ
cet-1161	99	9	node	node	NOUN
cet-1161	99	10	will	will	AUX
cet-1161	99	11	be	be	AUX
cet-1161	99	12	saved	save	VERB
cet-1161	99	13	for	for	ADP
cet-1161	99	14	reference	reference	NOUN
cet-1161	99	15	.	.	PUNCT
cet-1161	100	1	finally	finally	ADV
cet-1161	100	2	,	,	PUNCT
cet-1161	100	3	the	the	DET
cet-1161	100	4	effective	effective	ADJ
cet-1161	100	5	nodes	node	NOUN
cet-1161	100	6	are	be	AUX
cet-1161	100	7	re	re	ADJ
cet-1161	100	8	-	-	NOUN
cet-1161	100	9	calculation	calculation	ADJ
cet-1161	100	10	to	to	PART
cet-1161	100	11	get	get	VERB
cet-1161	100	12	the	the	DET
cet-1161	100	13	results	result	NOUN
cet-1161	100	14	.	.	PUNCT
cet-1161	101	1	assuming	assume	VERB
cet-1161	101	2	that	that	SCONJ
cet-1161	101	3	wij	wij	PROPN
cet-1161	101	4	is	be	AUX
cet-1161	101	5	the	the	DET
cet-1161	101	6	result	result	NOUN
cet-1161	101	7	matrix	matrix	NOUN
cet-1161	101	8	of	of	ADP
cet-1161	101	9	adaptive	adaptive	ADJ
cet-1161	101	10	weighting	weighting	NOUN
cet-1161	101	11	algorithm	algorithm	NOUN
cet-1161	101	12	,	,	PUNCT
cet-1161	101	13	and	and	CCONJ
cet-1161	101	14	kij	kij	PROPN
cet-1161	101	15	is	be	AUX
cet-1161	101	16	the	the	DET
cet-1161	101	17	result	result	NOUN
cet-1161	101	18	matrix	matrix	NOUN
cet-1161	101	19	of	of	ADP
cet-1161	101	20	calman	calman	NOUN
cet-1161	101	21	filtering	filtering	NOUN
cet-1161	101	22	algorithm	algorithm	NOUN
cet-1161	101	23	.	.	PUNCT
cet-1161	102	1	11	11	NUM
cet-1161	102	2	1	1	NUM
cet-1161	102	3	1	1	NUM
cet-1161	102	4	1	1	NUM
cet-1161	102	5	1	1	NUM
cet-1161	102	6	j	j	NOUN
cet-1161	102	7	n	n	NUM
cet-1161	102	8	ij	ij	INTJ
cet-1161	102	9	i	i	PRON
cet-1161	102	10	in	in	ADP
cet-1161	102	11	m	m	PROPN
cet-1161	102	12	nj	nj	PROPN
cet-1161	102	13	mn	mn	PROPN
cet-1161	102	14	w	w	PROPN
cet-1161	102	15	w	w	PROPN
cet-1161	102	16	w	w	PROPN
cet-1161	102	17	w	w	PROPN
cet-1161	102	18	w	w	PROPN
cet-1161	102	19	w	w	PROPN
cet-1161	102	20	w	w	PROPN
cet-1161	102	21	w	w	PROPN
cet-1161	102	22	w	w	PROPN
cet-1161	102	23			NOUN
cet-1161	102	24			PROPN
cet-1161	103	1			PROPN
cet-1161	104	1			PROPN
cet-1161	105	1			PROPN
cet-1161	106	1			PROPN
cet-1161	107	1			PROPN
cet-1161	108	1	=	=	PROPN
cet-1161	109	1			PROPN
cet-1161	110	1			PROPN
cet-1161	110	2			PROPN
cet-1161	111	1			INTJ
cet-1161	112	1			PROPN
cet-1161	112	2			PROPN
cet-1161	113	1			PROPN
cet-1161	113	2			PROPN
cet-1161	113	3			NUM
cet-1161	113	4			NUM
cet-1161	113	5			NUM
cet-1161	113	6			PROPN
cet-1161	113	7			PROPN
cet-1161	113	8			VERB
cet-1161	113	9			ADJ
cet-1161	113	10			NOUN
cet-1161	113	11			NOUN
cet-1161	113	12	(	(	PUNCT
cet-1161	113	13	16	16	NUM
cet-1161	113	14	)	)	PUNCT
cet-1161	113	15	11	11	NUM
cet-1161	113	16	1	1	NUM
cet-1161	113	17	1	1	NUM
cet-1161	113	18	1	1	NUM
cet-1161	113	19	1	1	NUM
cet-1161	113	20	j	j	NOUN
cet-1161	113	21	n	n	NUM
cet-1161	113	22	ij	ij	INTJ
cet-1161	114	1	i	i	PRON
cet-1161	114	2	in	in	ADP
cet-1161	114	3	m	m	PROPN
cet-1161	114	4	nj	nj	PROPN
cet-1161	115	1	mn	mn	PROPN
cet-1161	115	2	k	k	PROPN
cet-1161	116	1	k	k	PROPN
cet-1161	116	2	k	k	PROPN
cet-1161	116	3	k	k	PROPN
cet-1161	116	4	k	k	PROPN
cet-1161	116	5	k	k	PROPN
cet-1161	116	6	k	k	PROPN
cet-1161	116	7	k	k	PROPN
cet-1161	116	8	k	k	PROPN
cet-1161	116	9			NOUN
cet-1161	116	10			PROPN
cet-1161	116	11			PROPN
cet-1161	117	1			PROPN
cet-1161	118	1			PROPN
cet-1161	119	1			PROPN
cet-1161	120	1			PROPN
cet-1161	121	1	=	=	PROPN
cet-1161	122	1			PROPN
cet-1161	123	1			PROPN
cet-1161	123	2			PROPN
cet-1161	124	1			INTJ
cet-1161	125	1			PROPN
cet-1161	125	2			PROPN
cet-1161	126	1			PROPN
cet-1161	126	2			PROPN
cet-1161	126	3			NUM
cet-1161	126	4			NUM
cet-1161	126	5			NUM
cet-1161	126	6			PROPN
cet-1161	126	7			PROPN
cet-1161	126	8			VERB
cet-1161	126	9			ADJ
cet-1161	126	10			NOUN
cet-1161	126	11			NOUN
cet-1161	126	12	(	(	PUNCT
cet-1161	126	13	17	17	NUM
cet-1161	126	14	)	)	PUNCT
cet-1161	126	15	according	accord	VERB
cet-1161	126	16	to	to	ADP
cet-1161	126	17	pearson	pearson	PROPN
cet-1161	126	18	similarity	similarity	PROPN
cet-1161	126	19	algorithm	algorithm	NOUN
cet-1161	126	20	,	,	PUNCT
cet-1161	126	21	we	we	PRON
cet-1161	126	22	can	can	AUX
cet-1161	126	23	get	get	VERB
cet-1161	126	24	the	the	DET
cet-1161	126	25	similarity	similarity	NOUN
cet-1161	126	26	of	of	ADP
cet-1161	126	27	the	the	DET
cet-1161	126	28	two	two	NUM
cet-1161	126	29	algorithms	algorithm	NOUN
cet-1161	126	30	:	:	PUNCT
cet-1161	126	31	2	2	NUM
cet-1161	126	32	2	2	NUM
cet-1161	126	33	,	,	PUNCT
cet-1161	126	34	(	(	PUNCT
cet-1161	126	35	)	)	PUNCT
cet-1161	126	36	(	(	PUNCT
cet-1161	126	37	)	)	PUNCT
cet-1161	126	38	(	(	PUNCT
cet-1161	126	39	,	,	PUNCT
cet-1161	126	40	)	)	PUNCT
cet-1161	126	41	(	(	PUNCT
cet-1161	126	42	)	)	PUNCT
cet-1161	126	43	(	(	PUNCT
cet-1161	126	44	)	)	PUNCT
cet-1161	127	1	ij	ij	INTJ
cet-1161	127	2	ij	ij	INTJ
cet-1161	127	3	i	i	PRON
cet-1161	127	4	twk	twk	VERB
cet-1161	127	5	ij	ij	INTJ
cet-1161	128	1	ij	ij	INTJ
cet-1161	129	1	i	i	INTJ
cet-1161	129	2	j	j	PROPN
cet-1161	130	1	twk	twk	VERB
cet-1161	130	2	w	w	PROPN
cet-1161	130	3	w	w	PROPN
cet-1161	130	4	k	k	PROPN
cet-1161	130	5	k	k	PROPN
cet-1161	130	6	sim	sim	PROPN
cet-1161	131	1	w	w	PROPN
cet-1161	131	2	k	k	PROPN
cet-1161	131	3	w	w	PROPN
cet-1161	131	4	w	w	PROPN
cet-1161	131	5	k	k	PROPN
cet-1161	131	6	k	k	PROPN
cet-1161	131	7	∈	∈	PROPN
cet-1161	131	8	∈	∈	PROPN
cet-1161	131	9	−	−	NOUN
cet-1161	131	10	−	−	PROPN
cet-1161	132	1	=	=	SYM
cet-1161	133	1	−	−	PROPN
cet-1161	133	2	−	−	NOUN
cet-1161	133	3			X
cet-1161	133	4			X
cet-1161	133	5	(	(	PUNCT
cet-1161	133	6	18	18	NUM
cet-1161	133	7	)	)	PUNCT
cet-1161	133	8	where	where	SCONJ
cet-1161	133	9	,	,	PUNCT
cet-1161	133	10	twk	twk	X
cet-1161	133	11	is	be	AUX
cet-1161	133	12	the	the	DET
cet-1161	133	13	intersection	intersection	NOUN
cet-1161	133	14	of	of	ADP
cet-1161	133	15	wij	wij	PROPN
cet-1161	133	16	and	and	CCONJ
cet-1161	133	17	kij	kij	PROPN
cet-1161	133	18	.	.	PUNCT
cet-1161	134	1	that	that	PRON
cet-1161	134	2	is	be	AUX
cet-1161	134	3	to	to	PART
cet-1161	134	4	say	say	VERB
cet-1161	134	5	,	,	PUNCT
cet-1161	134	6	twk	twk	PROPN
cet-1161	134	7	=	=	NOUN
cet-1161	134	8	w∩k	w∩k	NOUN
cet-1161	134	9	.	.	PUNCT
cet-1161	135	1	assuming	assume	VERB
cet-1161	135	2	that	that	SCONJ
cet-1161	135	3	the	the	DET
cet-1161	135	4	number	number	NOUN
cet-1161	135	5	of	of	ADP
cet-1161	135	6	sensor	sensor	NOUN
cet-1161	135	7	nodes	node	NOUN
cet-1161	135	8	which	which	PRON
cet-1161	135	9	meet	meet	VERB
cet-1161	135	10	the	the	DET
cet-1161	135	11	threshold	threshold	NOUN
cet-1161	135	12	condition	condition	NOUN
cet-1161	135	13	is	be	AUX
cet-1161	135	14	l	l	NOUN
cet-1161	135	15	,	,	PUNCT
cet-1161	135	16	and	and	CCONJ
cet-1161	135	17	we	we	PRON
cet-1161	135	18	can	can	AUX
cet-1161	135	19	get	get	VERB
cet-1161	135	20	the	the	DET
cet-1161	135	21	estimated	estimate	VERB
cet-1161	135	22	value	value	NOUN
cet-1161	135	23	of	of	ADP
cet-1161	135	24	the	the	DET
cet-1161	135	25	latest	late	ADJ
cet-1161	135	26	time	time	NOUN
cet-1161	135	27	.	.	PUNCT
cet-1161	136	1	2	2	NUM
cet-1161	136	2	ij	ij	NOUN
cet-1161	136	3	ij	ij	INTJ
cet-1161	136	4	ij	ij	INTJ
cet-1161	136	5	w	w	NOUN
cet-1161	136	6	k	k	NOUN
cet-1161	136	7	h	h	NOUN
cet-1161	137	1	+	+	CCONJ
cet-1161	137	2	=	=	SYM
cet-1161	137	3	(	(	PUNCT
cet-1161	137	4	19	19	NUM
cet-1161	137	5	)	)	PUNCT
cet-1161	137	6	therefore	therefore	ADV
cet-1161	137	7	,	,	PUNCT
cet-1161	137	8	the	the	DET
cet-1161	137	9	final	final	ADJ
cet-1161	137	10	result	result	NOUN
cet-1161	137	11	can	can	AUX
cet-1161	137	12	be	be	AUX
cet-1161	137	13	get	get	VERB
cet-1161	137	14	by	by	ADP
cet-1161	137	15	the	the	DET
cet-1161	137	16	following	follow	VERB
cet-1161	137	17	formula	formula	NOUN
cet-1161	137	18	:	:	PUNCT
cet-1161	137	19	1	1	NUM
cet-1161	137	20	l	l	NOUN
cet-1161	137	21	j	j	NOUN
cet-1161	138	1	i	i	PRON
cet-1161	138	2	ij	ij	INTJ
cet-1161	139	1	i	i	PRON
cet-1161	140	1	ij	ij	INTJ
cet-1161	141	1	i	i	PRON
cet-1161	141	2	h	h	VERB
cet-1161	142	1	w	w	PROPN
cet-1161	142	2	h	h	PROPN
cet-1161	142	3	w	w	PROPN
cet-1161	142	4	h	h	NOUN
cet-1161	142	5	=	=	PUNCT
cet-1161	143	1	=	=	PUNCT
cet-1161	143	2	=	=	X
cet-1161	143	3			X
cet-1161	143	4			X
cet-1161	143	5	(	(	PUNCT
cet-1161	143	6	20	20	NUM
cet-1161	143	7	)	)	PUNCT
cet-1161	143	8	4	4	NUM
cet-1161	143	9	.	.	X
cet-1161	143	10	realization	realization	NOUN
cet-1161	143	11	of	of	ADP
cet-1161	143	12	warning	warning	NOUN
cet-1161	143	13	system	system	NOUN
cet-1161	143	14	in	in	ADP
cet-1161	143	15	factory	factory	NOUN
cet-1161	143	16	the	the	DET
cet-1161	143	17	early	early	ADJ
cet-1161	143	18	warning	warning	NOUN
cet-1161	143	19	system	system	NOUN
cet-1161	143	20	of	of	ADP
cet-1161	143	21	dangerous	dangerous	ADJ
cet-1161	143	22	chemical	chemical	NOUN
cet-1161	143	23	gas	gas	NOUN
cet-1161	143	24	is	be	AUX
cet-1161	143	25	composed	compose	VERB
cet-1161	143	26	of	of	ADP
cet-1161	143	27	three	three	NUM
cet-1161	143	28	parts	part	NOUN
cet-1161	143	29	.	.	PUNCT
cet-1161	144	1	they	they	PRON
cet-1161	144	2	are	be	AUX
cet-1161	144	3	data	datum	NOUN
cet-1161	144	4	acquisition	acquisition	NOUN
cet-1161	144	5	section	section	NOUN
cet-1161	144	6	,	,	PUNCT
cet-1161	144	7	wireless	wireless	ADJ
cet-1161	144	8	communication	communication	NOUN
cet-1161	144	9	sectionand	sectionand	NOUN
cet-1161	144	10	remote	remote	ADJ
cet-1161	144	11	monitoring	monitor	VERB
cet-1161	144	12	section.the	section.the	DET
cet-1161	144	13	system	system	NOUN
cet-1161	144	14	frame	frame	NOUN
cet-1161	144	15	diagram	diagram	NOUN
cet-1161	144	16	is	be	AUX
cet-1161	144	17	shown	show	VERB
cet-1161	144	18	in	in	ADP
cet-1161	144	19	figure	figure	NOUN
cet-1161	144	20	1	1	NUM
cet-1161	144	21	figure	figure	NOUN
cet-1161	144	22	1	1	NUM
cet-1161	144	23	:	:	PUNCT
cet-1161	144	24	early	early	ADJ
cet-1161	144	25	warning	warning	NOUN
cet-1161	144	26	system	system	NOUN
cet-1161	144	27	of	of	ADP
cet-1161	144	28	dangerous	dangerous	ADJ
cet-1161	144	29	chemical	chemical	ADJ
cet-1161	144	30	gas	gas	NOUN
cet-1161	144	31	568	568	NUM
cet-1161	144	32	the	the	DET
cet-1161	144	33	data	data	NOUN
cet-1161	144	34	acquisition	acquisition	NOUN
cet-1161	144	35	part	part	NOUN
cet-1161	144	36	is	be	AUX
cet-1161	144	37	composed	compose	VERB
cet-1161	144	38	of	of	ADP
cet-1161	144	39	a	a	DET
cet-1161	144	40	large	large	ADJ
cet-1161	144	41	number	number	NOUN
cet-1161	144	42	of	of	ADP
cet-1161	144	43	sensors	sensor	NOUN
cet-1161	144	44	,	,	PUNCT
cet-1161	144	45	which	which	PRON
cet-1161	144	46	are	be	AUX
cet-1161	144	47	deployed	deploy	VERB
cet-1161	144	48	in	in	ADP
cet-1161	144	49	every	every	DET
cet-1161	144	50	corner	corner	NOUN
cet-1161	144	51	of	of	ADP
cet-1161	144	52	the	the	DET
cet-1161	144	53	chemical	chemical	NOUN
cet-1161	144	54	plant	plant	NOUN
cet-1161	144	55	,	,	PUNCT
cet-1161	144	56	and	and	CCONJ
cet-1161	144	57	they	they	PRON
cet-1161	144	58	are	be	AUX
cet-1161	144	59	the	the	DET
cet-1161	144	60	sources	source	NOUN
cet-1161	144	61	of	of	ADP
cet-1161	144	62	monitoring	monitor	VERB
cet-1161	144	63	data	datum	NOUN
cet-1161	144	64	.	.	PUNCT
cet-1161	145	1	the	the	DET
cet-1161	145	2	distribution	distribution	NOUN
cet-1161	145	3	of	of	ADP
cet-1161	145	4	these	these	DET
cet-1161	145	5	sensors	sensor	NOUN
cet-1161	145	6	can	can	AUX
cet-1161	145	7	be	be	AUX
cet-1161	145	8	regular	regular	ADJ
cet-1161	145	9	,	,	PUNCT
cet-1161	145	10	and	and	CCONJ
cet-1161	145	11	the	the	DET
cet-1161	145	12	distribution	distribution	NOUN
cet-1161	145	13	can	can	AUX
cet-1161	145	14	also	also	ADV
cet-1161	145	15	be	be	AUX
cet-1161	145	16	stochastic	stochastic	ADJ
cet-1161	145	17	.	.	PUNCT
cet-1161	146	1	the	the	PRON
cet-1161	146	2	better	well	ADJ
cet-1161	146	3	the	the	DET
cet-1161	146	4	performance	performance	NOUN
cet-1161	146	5	of	of	ADP
cet-1161	146	6	the	the	DET
cet-1161	146	7	sensor	sensor	NOUN
cet-1161	146	8	,	,	PUNCT
cet-1161	146	9	the	the	DET
cet-1161	146	10	more	more	ADV
cet-1161	146	11	accurate	accurate	ADJ
cet-1161	146	12	the	the	DET
cet-1161	146	13	monitoring	monitoring	NOUN
cet-1161	146	14	data	datum	NOUN
cet-1161	146	15	in	in	ADP
cet-1161	146	16	the	the	DET
cet-1161	146	17	later	later	ADJ
cet-1161	146	18	stage	stage	NOUN
cet-1161	146	19	.	.	PUNCT
cet-1161	147	1	wireless	wireless	ADJ
cet-1161	147	2	communication	communication	NOUN
cet-1161	147	3	mainly	mainly	ADV
cet-1161	147	4	includes	include	VERB
cet-1161	147	5	wireless	wireless	ADJ
cet-1161	147	6	sensor	sensor	NOUN
cet-1161	147	7	network	network	NOUN
cet-1161	147	8	and	and	CCONJ
cet-1161	147	9	network	network	NOUN
cet-1161	147	10	information	information	NOUN
cet-1161	147	11	transmission.in	transmission.in	NUM
cet-1161	147	12	wireless	wireless	ADJ
cet-1161	147	13	sensor	sensor	NOUN
cet-1161	147	14	networks	network	NOUN
cet-1161	147	15	,	,	PUNCT
cet-1161	147	16	wireless	wireless	ADJ
cet-1161	147	17	communication	communication	NOUN
cet-1161	147	18	is	be	AUX
cet-1161	147	19	used	use	VERB
cet-1161	147	20	to	to	PART
cet-1161	147	21	transmit	transmit	VERB
cet-1161	147	22	between	between	ADP
cet-1161	147	23	sensor	sensor	NOUN
cet-1161	147	24	nodes	node	NOUN
cet-1161	147	25	.	.	PUNCT
cet-1161	148	1	wired	wire	VERB
cet-1161	148	2	communication	communication	NOUN
cet-1161	148	3	network	network	NOUN
cet-1161	148	4	is	be	AUX
cet-1161	148	5	used	use	VERB
cet-1161	148	6	to	to	PART
cet-1161	148	7	transmit	transmit	VERB
cet-1161	148	8	data	datum	NOUN
cet-1161	148	9	between	between	ADP
cet-1161	148	10	sensor	sensor	NOUN
cet-1161	148	11	network	network	NOUN
cet-1161	148	12	and	and	CCONJ
cet-1161	148	13	monitoring	monitoring	NOUN
cet-1161	148	14	center	center	NOUN
cet-1161	148	15	.	.	PUNCT
cet-1161	149	1	the	the	DET
cet-1161	149	2	remote	remote	ADJ
cet-1161	149	3	monitoring	monitoring	NOUN
cet-1161	149	4	section	section	NOUN
cet-1161	149	5	receives	receive	VERB
cet-1161	149	6	the	the	DET
cet-1161	149	7	signal	signal	NOUN
cet-1161	149	8	and	and	CCONJ
cet-1161	149	9	sends	send	VERB
cet-1161	149	10	it	it	PRON
cet-1161	149	11	to	to	ADP
cet-1161	149	12	the	the	DET
cet-1161	149	13	monitoring	monitoring	NOUN
cet-1161	149	14	platform	platform	NOUN
cet-1161	149	15	through	through	ADP
cet-1161	149	16	network	network	NOUN
cet-1161	149	17	.	.	PUNCT
cet-1161	150	1	three	three	NUM
cet-1161	150	2	dimensional	dimensional	ADJ
cet-1161	150	3	visualization	visualization	NOUN
cet-1161	150	4	technology	technology	NOUN
cet-1161	150	5	is	be	AUX
cet-1161	150	6	used	use	VERB
cet-1161	150	7	to	to	PART
cet-1161	150	8	model	model	VERB
cet-1161	150	9	the	the	DET
cet-1161	150	10	factory	factory	NOUN
cet-1161	150	11	buildings	building	NOUN
cet-1161	150	12	,	,	PUNCT
cet-1161	150	13	which	which	PRON
cet-1161	150	14	can	can	AUX
cet-1161	150	15	realize	realize	VERB
cet-1161	150	16	the	the	DET
cet-1161	150	17	3d	3d	PROPN
cet-1161	150	18	simulation	simulation	PROPN
cet-1161	150	19	environment	environment	PROPN
cet-1161	150	20	.	.	PUNCT
cet-1161	151	1	in	in	ADP
cet-1161	151	2	addition	addition	NOUN
cet-1161	151	3	,	,	PUNCT
cet-1161	151	4	the	the	DET
cet-1161	151	5	data	data	NOUN
cet-1161	151	6	processing	processing	NOUN
cet-1161	151	7	algorithm	algorithm	NOUN
cet-1161	151	8	directly	directly	ADV
cet-1161	151	9	determines	determine	VERB
cet-1161	151	10	the	the	DET
cet-1161	151	11	performance	performance	NOUN
cet-1161	151	12	of	of	ADP
cet-1161	151	13	the	the	DET
cet-1161	151	14	whole	whole	ADJ
cet-1161	151	15	system	system	NOUN
cet-1161	151	16	.	.	PUNCT
cet-1161	152	1	5	5	X
cet-1161	152	2	.	.	X
cet-1161	152	3	experiment	experiment	NOUN
cet-1161	152	4	and	and	CCONJ
cet-1161	152	5	result	result	VERB
cet-1161	152	6	analysis	analysis	NOUN
cet-1161	152	7	in	in	ADP
cet-1161	152	8	order	order	NOUN
cet-1161	152	9	to	to	PART
cet-1161	152	10	test	test	VERB
cet-1161	152	11	the	the	DET
cet-1161	152	12	performance	performance	NOUN
cet-1161	152	13	of	of	ADP
cet-1161	152	14	the	the	DET
cet-1161	152	15	algorithm	algorithm	NOUN
cet-1161	152	16	,	,	PUNCT
cet-1161	152	17	in	in	ADP
cet-1161	152	18	this	this	DET
cet-1161	152	19	paper	paper	NOUN
cet-1161	152	20	we	we	PRON
cet-1161	152	21	compare	compare	VERB
cet-1161	152	22	the	the	DET
cet-1161	152	23	three	three	NUM
cet-1161	152	24	algorithms	algorithm	NOUN
cet-1161	152	25	in	in	ADP
cet-1161	152	26	terms	term	NOUN
cet-1161	152	27	of	of	ADP
cet-1161	152	28	time	time	NOUN
cet-1161	152	29	consuming	consume	VERB
cet-1161	152	30	,	,	PUNCT
cet-1161	152	31	average	average	ADJ
cet-1161	152	32	energy	energy	NOUN
cet-1161	152	33	consumption	consumption	NOUN
cet-1161	152	34	and	and	CCONJ
cet-1161	152	35	precision	precision	NOUN
cet-1161	152	36	.	.	PUNCT
cet-1161	153	1	the	the	DET
cet-1161	153	2	experiments	experiment	NOUN
cet-1161	153	3	were	be	AUX
cet-1161	153	4	carried	carry	VERB
cet-1161	153	5	out	out	ADP
cet-1161	153	6	in	in	ADP
cet-1161	153	7	the	the	DET
cet-1161	153	8	region	region	NOUN
cet-1161	153	9	of	of	ADP
cet-1161	153	10	1000m*1000	1000m*1000	NUM
cet-1161	153	11	m	m	NOUN
cet-1161	153	12	,	,	PUNCT
cet-1161	153	13	and	and	CCONJ
cet-1161	153	14	the	the	DET
cet-1161	153	15	numbers	number	NOUN
cet-1161	153	16	of	of	ADP
cet-1161	153	17	samples	sample	NOUN
cet-1161	153	18	are	be	AUX
cet-1161	153	19	respectively	respectively	ADV
cet-1161	153	20	80	80	NUM
cet-1161	153	21	,	,	PUNCT
cet-1161	153	22	160	160	NUM
cet-1161	153	23	,	,	PUNCT
cet-1161	153	24	280	280	NUM
cet-1161	153	25	,	,	PUNCT
cet-1161	153	26	440	440	NUM
cet-1161	153	27	,	,	PUNCT
cet-1161	153	28	640	640	NUM
cet-1161	153	29	,	,	PUNCT
cet-1161	153	30	880	880	NUM
cet-1161	153	31	,	,	PUNCT
cet-1161	153	32	1200	1200	NUM
cet-1161	153	33	.	.	PUNCT
cet-1161	154	1	assuming	assume	VERB
cet-1161	154	2	that	that	SCONJ
cet-1161	154	3	ˆ	ˆ	ADJ
cet-1161	154	4	jt	jt	PROPN
cet-1161	154	5	is	be	AUX
cet-1161	154	6	the	the	DET
cet-1161	154	7	actual	actual	ADJ
cet-1161	154	8	monitoring	monitoring	NOUN
cet-1161	154	9	value	value	NOUN
cet-1161	154	10	and	and	CCONJ
cet-1161	154	11	tj	tj	NOUN
cet-1161	154	12	is	be	AUX
cet-1161	154	13	the	the	DET
cet-1161	154	14	estimated	estimate	VERB
cet-1161	154	15	value	value	NOUN
cet-1161	154	16	of	of	ADP
cet-1161	154	17	the	the	DET
cet-1161	154	18	hybrid	hybrid	ADJ
cet-1161	154	19	algorithm	algorithm	NOUN
cet-1161	154	20	,	,	PUNCT
cet-1161	154	21	then	then	ADV
cet-1161	154	22	we	we	PRON
cet-1161	154	23	can	can	AUX
cet-1161	154	24	get	get	VERB
cet-1161	154	25	the	the	DET
cet-1161	154	26	accuracy	accuracy	NOUN
cet-1161	154	27	of	of	ADP
cet-1161	154	28	the	the	DET
cet-1161	154	29	monitoring	monitoring	NOUN
cet-1161	154	30	results	result	NOUN
cet-1161	154	31	.	.	PUNCT
cet-1161	155	1	ˆ	ˆ	NOUN
cet-1161	155	2	ˆ	ˆ	ADV
cet-1161	156	1	j	j	PROPN
cet-1161	157	1	j	j	PROPN
cet-1161	157	2	j	j	PROPN
cet-1161	158	1	j	j	PROPN
cet-1161	158	2	t	t	PROPN
cet-1161	158	3	t	t	PROPN
cet-1161	158	4	t	t	X
cet-1161	158	5	ε	ε	PROPN
cet-1161	158	6	−	−	PROPN
cet-1161	159	1	=	=	PUNCT
cet-1161	159	2	(	(	PUNCT
cet-1161	159	3	21	21	NUM
cet-1161	159	4	)	)	PUNCT
cet-1161	159	5	thus	thus	ADV
cet-1161	159	6	,	,	PUNCT
cet-1161	159	7	the	the	DET
cet-1161	159	8	monitoring	monitoring	NOUN
cet-1161	159	9	accuracy	accuracy	NOUN
cet-1161	159	10	of	of	ADP
cet-1161	159	11	the	the	DET
cet-1161	159	12	whole	whole	ADJ
cet-1161	159	13	sensor	sensor	NOUN
cet-1161	159	14	network	network	NOUN
cet-1161	159	15	can	can	AUX
cet-1161	159	16	be	be	AUX
cet-1161	159	17	get	get	VERB
cet-1161	159	18	as	as	SCONJ
cet-1161	159	19	follows	follow	VERB
cet-1161	159	20	1	1	NUM
cet-1161	159	21	1	1	NUM
cet-1161	159	22	ˆ	ˆ	PROPN
cet-1161	159	23	(	(	PUNCT
cet-1161	159	24	)	)	PUNCT
cet-1161	159	25	ˆ	ˆ	NOUN
cet-1161	159	26	ˆ	ˆ	NOUN
cet-1161	159	27	ˆ	ˆ	ADV
cet-1161	160	1	n	n	ADV
cet-1161	160	2	j	j	PROPN
cet-1161	160	3	j	j	PROPN
cet-1161	160	4	n	n	CCONJ
cet-1161	160	5	j	j	PROPN
cet-1161	161	1	t	t	PROPN
cet-1161	161	2	t	t	PROPN
cet-1161	161	3	t	t	PROPN
cet-1161	161	4	t	t	PROPN
cet-1161	161	5	t	t	PROPN
cet-1161	161	6	t	t	X
cet-1161	161	7	ε	ε	PROPN
cet-1161	161	8	=	=	PUNCT
cet-1161	161	9	=	=	PUNCT
cet-1161	161	10	−	−	PROPN
cet-1161	161	11	−=	−=	NOUN
cet-1161	161	12	=	=	X
cet-1161	161	13			X
cet-1161	161	14			X
cet-1161	161	15	(	(	PUNCT
cet-1161	161	16	22	22	NUM
cet-1161	161	17	)	)	PUNCT
cet-1161	161	18	as	as	SCONJ
cet-1161	161	19	can	can	AUX
cet-1161	161	20	be	be	AUX
cet-1161	161	21	seen	see	VERB
cet-1161	161	22	in	in	ADP
cet-1161	161	23	the	the	DET
cet-1161	161	24	figure	figure	NOUN
cet-1161	161	25	2	2	NUM
cet-1161	161	26	,	,	PUNCT
cet-1161	161	27	with	with	ADP
cet-1161	161	28	the	the	DET
cet-1161	161	29	increase	increase	NOUN
cet-1161	161	30	of	of	ADP
cet-1161	161	31	sensor	sensor	NOUN
cet-1161	161	32	nodes	node	NOUN
cet-1161	161	33	,	,	PUNCT
cet-1161	161	34	the	the	DET
cet-1161	161	35	accuracy	accuracy	NOUN
cet-1161	161	36	of	of	ADP
cet-1161	161	37	the	the	DET
cet-1161	161	38	three	three	NUM
cet-1161	161	39	algorithms	algorithm	NOUN
cet-1161	161	40	is	be	AUX
cet-1161	161	41	improved	improve	VERB
cet-1161	161	42	.	.	PUNCT
cet-1161	162	1	when	when	SCONJ
cet-1161	162	2	the	the	DET
cet-1161	162	3	number	number	NOUN
cet-1161	162	4	of	of	ADP
cet-1161	162	5	nodes	node	NOUN
cet-1161	162	6	reaches	reach	VERB
cet-1161	162	7	a	a	DET
cet-1161	162	8	certain	certain	ADJ
cet-1161	162	9	threshold	threshold	NOUN
cet-1161	162	10	value	value	NOUN
cet-1161	162	11	,	,	PUNCT
cet-1161	162	12	the	the	DET
cet-1161	162	13	change	change	NOUN
cet-1161	162	14	of	of	ADP
cet-1161	162	15	precision	precision	NOUN
cet-1161	162	16	tends	tend	VERB
cet-1161	162	17	to	to	PART
cet-1161	162	18	be	be	AUX
cet-1161	162	19	stable	stable	ADJ
cet-1161	162	20	.	.	PUNCT
cet-1161	163	1	however	however	ADV
cet-1161	163	2	,	,	PUNCT
cet-1161	163	3	generally	generally	ADV
cet-1161	163	4	speaking	speak	VERB
cet-1161	163	5	,	,	PUNCT
cet-1161	163	6	the	the	DET
cet-1161	163	7	accuracy	accuracy	NOUN
cet-1161	163	8	of	of	ADP
cet-1161	163	9	the	the	DET
cet-1161	163	10	hybrid	hybrid	ADJ
cet-1161	163	11	algorithm	algorithm	NOUN
cet-1161	163	12	is	be	AUX
cet-1161	163	13	higher	high	ADJ
cet-1161	163	14	than	than	ADP
cet-1161	163	15	the	the	DET
cet-1161	163	16	first	first	ADJ
cet-1161	163	17	two	two	NUM
cet-1161	163	18	algorithms	algorithm	NOUN
cet-1161	163	19	figure	figure	VERB
cet-1161	163	20	2	2	NUM
cet-1161	163	21	:	:	PUNCT
cet-1161	163	22	comparison	comparison	NOUN
cet-1161	163	23	of	of	ADP
cet-1161	163	24	accuracy	accuracy	NOUN
cet-1161	163	25	figure	figure	NOUN
cet-1161	163	26	3	3	NUM
cet-1161	163	27	respectively	respectively	ADV
cet-1161	163	28	represents	represent	VERB
cet-1161	163	29	the	the	DET
cet-1161	163	30	comparison	comparison	NOUN
cet-1161	163	31	of	of	ADP
cet-1161	163	32	energy	energy	NOUN
cet-1161	163	33	consumption	consumption	NOUN
cet-1161	163	34	.	.	PUNCT
cet-1161	164	1	with	with	ADP
cet-1161	164	2	the	the	DET
cet-1161	164	3	increase	increase	NOUN
cet-1161	164	4	of	of	ADP
cet-1161	164	5	nodes	node	NOUN
cet-1161	164	6	,	,	PUNCT
cet-1161	164	7	the	the	DET
cet-1161	164	8	energy	energy	NOUN
cet-1161	164	9	consumption	consumption	NOUN
cet-1161	164	10	of	of	ADP
cet-1161	164	11	sensor	sensor	NOUN
cet-1161	164	12	network	network	NOUN
cet-1161	164	13	is	be	AUX
cet-1161	164	14	gradually	gradually	ADV
cet-1161	164	15	improved	improve	VERB
cet-1161	164	16	.	.	PUNCT
cet-1161	165	1	as	as	ADP
cet-1161	165	2	a	a	DET
cet-1161	165	3	result	result	NOUN
cet-1161	165	4	of	of	ADP
cet-1161	165	5	abandoning	abandon	VERB
cet-1161	165	6	some	some	DET
cet-1161	165	7	nodes	node	NOUN
cet-1161	165	8	with	with	ADP
cet-1161	165	9	smaller	small	ADJ
cet-1161	165	10	weights	weight	NOUN
cet-1161	165	11	,	,	PUNCT
cet-1161	165	12	the	the	DET
cet-1161	165	13	energy	energy	NOUN
cet-1161	165	14	consumption	consumption	NOUN
cet-1161	165	15	of	of	ADP
cet-1161	165	16	the	the	DET
cet-1161	165	17	hybrid	hybrid	ADJ
cet-1161	165	18	algorithm	algorithm	NOUN
cet-1161	165	19	is	be	AUX
cet-1161	165	20	lower	low	ADJ
cet-1161	165	21	than	than	ADP
cet-1161	165	22	the	the	DET
cet-1161	165	23	other	other	ADJ
cet-1161	165	24	two	two	NUM
cet-1161	165	25	algorithms	algorithm	NOUN
cet-1161	165	26	.	.	PUNCT
cet-1161	166	1	figure	figure	NOUN
cet-1161	166	2	4	4	NUM
cet-1161	166	3	respectively	respectively	ADV
cet-1161	166	4	represents	represent	VERB
cet-1161	166	5	the	the	DET
cet-1161	166	6	comparison	comparison	NOUN
cet-1161	166	7	of	of	ADP
cet-1161	166	8	time	time	NOUN
cet-1161	166	9	-	-	PUNCT
cet-1161	166	10	consuming	consume	VERB
cet-1161	166	11	.	.	PUNCT
cet-1161	167	1	because	because	SCONJ
cet-1161	167	2	the	the	DET
cet-1161	167	3	computational	computational	ADJ
cet-1161	167	4	complexity	complexity	NOUN
cet-1161	167	5	of	of	ADP
cet-1161	167	6	the	the	DET
cet-1161	167	7	hybrid	hybrid	ADJ
cet-1161	167	8	algorithm	algorithm	NOUN
cet-1161	167	9	is	be	AUX
cet-1161	167	10	more	more	ADV
cet-1161	167	11	complex	complex	ADJ
cet-1161	167	12	,	,	PUNCT
cet-1161	167	13	it	it	PRON
cet-1161	167	14	is	be	AUX
cet-1161	167	15	more	more	ADJ
cet-1161	167	16	time	time	NOUN
cet-1161	167	17	-	-	PUNCT
cet-1161	167	18	consuming	consume	VERB
cet-1161	167	19	than	than	ADP
cet-1161	167	20	other	other	ADJ
cet-1161	167	21	algorithms	algorithm	NOUN
cet-1161	167	22	.	.	PUNCT
cet-1161	168	1	nevertheless	nevertheless	ADV
cet-1161	168	2	,	,	PUNCT
cet-1161	168	3	the	the	DET
cet-1161	168	4	time	time	NOUN
cet-1161	168	5	is	be	AUX
cet-1161	168	6	still	still	ADV
cet-1161	168	7	in	in	ADP
cet-1161	168	8	the	the	DET
cet-1161	168	9	acceptable	acceptable	ADJ
cet-1161	168	10	range	range	NOUN
cet-1161	168	11	.	.	PUNCT
cet-1161	169	1	569	569	NUM
cet-1161	169	2	figure	figure	NOUN
cet-1161	169	3	3	3	NUM
cet-1161	169	4	:	:	PUNCT
cet-1161	169	5	comparison	comparison	NOUN
cet-1161	169	6	of	of	ADP
cet-1161	169	7	energy	energy	NOUN
cet-1161	169	8	consumption	consumption	NOUN
cet-1161	169	9	figure	figure	NOUN
cet-1161	169	10	4	4	NUM
cet-1161	169	11	:	:	PUNCT
cet-1161	169	12	comparison	comparison	NOUN
cet-1161	169	13	of	of	ADP
cet-1161	169	14	time	time	NOUN
cet-1161	169	15	-	-	PUNCT
cet-1161	169	16	consuming	consume	VERB
cet-1161	169	17	in	in	ADP
cet-1161	169	18	general	general	ADJ
cet-1161	169	19	,	,	PUNCT
cet-1161	169	20	the	the	DET
cet-1161	169	21	improved	improve	VERB
cet-1161	169	22	hybrid	hybrid	ADJ
cet-1161	169	23	algorithm	algorithm	NOUN
cet-1161	169	24	proposed	propose	VERB
cet-1161	169	25	in	in	ADP
cet-1161	169	26	this	this	DET
cet-1161	169	27	paper	paper	NOUN
cet-1161	169	28	has	have	VERB
cet-1161	169	29	more	more	ADJ
cet-1161	169	30	advantages	advantage	NOUN
cet-1161	169	31	in	in	ADP
cet-1161	169	32	energy	energy	NOUN
cet-1161	169	33	consumption	consumption	NOUN
cet-1161	169	34	and	and	CCONJ
cet-1161	169	35	precision	precision	NOUN
cet-1161	169	36	.	.	PUNCT
cet-1161	170	1	although	although	SCONJ
cet-1161	170	2	the	the	DET
cet-1161	170	3	complexity	complexity	NOUN
cet-1161	170	4	of	of	ADP
cet-1161	170	5	computational	computational	ADJ
cet-1161	170	6	logic	logic	NOUN
cet-1161	170	7	leads	lead	VERB
cet-1161	170	8	to	to	ADP
cet-1161	170	9	long	long	ADJ
cet-1161	170	10	computation	computation	NOUN
cet-1161	170	11	time	time	NOUN
cet-1161	170	12	,	,	PUNCT
cet-1161	170	13	the	the	DET
cet-1161	170	14	overall	overall	ADJ
cet-1161	170	15	time	time	NOUN
cet-1161	170	16	is	be	AUX
cet-1161	170	17	still	still	ADV
cet-1161	170	18	within	within	ADP
cet-1161	170	19	acceptable	acceptable	ADJ
cet-1161	170	20	limits	limit	NOUN
cet-1161	170	21	.	.	PUNCT
cet-1161	171	1	6	6	X
cet-1161	171	2	.	.	X
cet-1161	171	3	conclusion	conclusion	NOUN
cet-1161	171	4	chemical	chemical	NOUN
cet-1161	171	5	enterprises	enterprise	NOUN
cet-1161	171	6	play	play	VERB
cet-1161	171	7	an	an	DET
cet-1161	171	8	important	important	ADJ
cet-1161	171	9	role	role	NOUN
cet-1161	171	10	in	in	ADP
cet-1161	171	11	the	the	DET
cet-1161	171	12	economy	economy	NOUN
cet-1161	171	13	of	of	ADP
cet-1161	171	14	our	our	PRON
cet-1161	171	15	country	country	NOUN
cet-1161	171	16	,	,	PUNCT
cet-1161	171	17	and	and	CCONJ
cet-1161	171	18	the	the	DET
cet-1161	171	19	products	product	NOUN
cet-1161	171	20	of	of	ADP
cet-1161	171	21	chemical	chemical	NOUN
cet-1161	171	22	enterprises	enterprise	NOUN
cet-1161	171	23	bring	bring	VERB
cet-1161	171	24	great	great	ADJ
cet-1161	171	25	convenience	convenience	NOUN
cet-1161	171	26	to	to	ADP
cet-1161	171	27	human	human	ADJ
cet-1161	171	28	life	life	NOUN
cet-1161	171	29	.	.	PUNCT
cet-1161	172	1	however	however	ADV
cet-1161	172	2	,	,	PUNCT
cet-1161	172	3	there	there	PRON
cet-1161	172	4	is	be	VERB
cet-1161	172	5	a	a	DET
cet-1161	172	6	great	great	ADJ
cet-1161	172	7	safety	safety	NOUN
cet-1161	172	8	risk	risk	NOUN
cet-1161	172	9	in	in	ADP
cet-1161	172	10	the	the	DET
cet-1161	172	11	production	production	NOUN
cet-1161	172	12	of	of	ADP
cet-1161	172	13	chemical	chemical	NOUN
cet-1161	172	14	enterprises	enterprise	NOUN
cet-1161	172	15	,	,	PUNCT
cet-1161	172	16	which	which	PRON
cet-1161	172	17	need	need	VERB
cet-1161	172	18	to	to	PART
cet-1161	172	19	attract	attract	VERB
cet-1161	172	20	enough	enough	ADJ
cet-1161	172	21	attention	attention	NOUN
cet-1161	172	22	.	.	PUNCT
cet-1161	173	1	in	in	ADP
cet-1161	173	2	view	view	NOUN
cet-1161	173	3	of	of	ADP
cet-1161	173	4	the	the	DET
cet-1161	173	5	potential	potential	ADJ
cet-1161	173	6	danger	danger	NOUN
cet-1161	173	7	of	of	ADP
cet-1161	173	8	chemical	chemical	NOUN
cet-1161	173	9	industry	industry	NOUN
cet-1161	173	10	production	production	NOUN
cet-1161	173	11	,	,	PUNCT
cet-1161	173	12	this	this	DET
cet-1161	173	13	paper	paper	NOUN
cet-1161	173	14	proposes	propose	VERB
cet-1161	173	15	an	an	DET
cet-1161	173	16	early	early	ADJ
cet-1161	173	17	warning	warning	NOUN
cet-1161	173	18	system	system	NOUN
cet-1161	173	19	of	of	ADP
cet-1161	173	20	dangerous	dangerous	ADJ
cet-1161	173	21	chemical	chemical	NOUN
cet-1161	173	22	gas	gas	NOUN
cet-1161	173	23	based	base	VERB
cet-1161	173	24	on	on	ADP
cet-1161	173	25	wireless	wireless	ADJ
cet-1161	173	26	sensor	sensor	NOUN
cet-1161	173	27	network	network	NOUN
cet-1161	173	28	,	,	PUNCT
cet-1161	173	29	which	which	PRON
cet-1161	173	30	can	can	AUX
cet-1161	173	31	monitor	monitor	VERB
cet-1161	173	32	the	the	DET
cet-1161	173	33	production	production	NOUN
cet-1161	173	34	process	process	NOUN
cet-1161	173	35	in	in	ADP
cet-1161	173	36	real	real	ADJ
cet-1161	173	37	time	time	NOUN
cet-1161	173	38	by	by	ADP
cet-1161	173	39	sensors	sensor	NOUN
cet-1161	173	40	in	in	ADP
cet-1161	173	41	all	all	DET
cet-1161	173	42	corners	corner	NOUN
cet-1161	173	43	of	of	ADP
cet-1161	173	44	the	the	DET
cet-1161	173	45	plant	plant	NOUN
cet-1161	173	46	.	.	PUNCT
cet-1161	174	1	in	in	ADP
cet-1161	174	2	the	the	DET
cet-1161	174	3	aspect	aspect	NOUN
cet-1161	174	4	of	of	ADP
cet-1161	174	5	sensor	sensor	NOUN
cet-1161	174	6	data	datum	NOUN
cet-1161	174	7	fusion	fusion	NOUN
cet-1161	174	8	technology	technology	NOUN
cet-1161	174	9	,	,	PUNCT
cet-1161	174	10	a	a	DET
cet-1161	174	11	hybrid	hybrid	ADJ
cet-1161	174	12	fusion	fusion	NOUN
cet-1161	174	13	algorithm	algorithm	NOUN
cet-1161	174	14	based	base	VERB
cet-1161	174	15	on	on	ADP
cet-1161	174	16	adaptive	adaptive	ADJ
cet-1161	174	17	weighting	weighting	NOUN
cet-1161	174	18	algorithm	algorithm	NOUN
cet-1161	174	19	and	and	CCONJ
cet-1161	174	20	calman	calman	NOUN
cet-1161	174	21	filtering	filtering	NOUN
cet-1161	174	22	algorithm	algorithm	NOUN
cet-1161	174	23	is	be	AUX
cet-1161	174	24	proposed	propose	VERB
cet-1161	174	25	,	,	PUNCT
cet-1161	174	26	which	which	PRON
cet-1161	174	27	not	not	PART
cet-1161	174	28	only	only	ADV
cet-1161	174	29	improves	improve	VERB
cet-1161	174	30	the	the	DET
cet-1161	174	31	monitoring	monitoring	NOUN
cet-1161	174	32	accuracy	accuracy	NOUN
cet-1161	174	33	,	,	PUNCT
cet-1161	174	34	but	but	CCONJ
cet-1161	174	35	also	also	ADV
cet-1161	174	36	reduces	reduce	VERB
cet-1161	174	37	the	the	DET
cet-1161	174	38	energy	energy	NOUN
cet-1161	174	39	consumption	consumption	NOUN
cet-1161	174	40	.	.	PUNCT
cet-1161	175	1	references	reference	NOUN
cet-1161	175	2	ding	ding	PROPN
cet-1161	175	3	l.	l.	PROPN
cet-1161	175	4	,	,	PUNCT
cet-1161	175	5	liao	liao	PROPN
cet-1161	175	6	t.q	t.q	PROPN
cet-1161	175	7	.	.	PROPN
cet-1161	175	8	,	,	PUNCT
cet-1161	175	9	tao	tao	PROPN
cet-1161	175	10	l.	l.	PROPN
cet-1161	175	11	,	,	PUNCT
cet-1161	175	12	2011	2011	NUM
cet-1161	175	13	,	,	PUNCT
cet-1161	175	14	the	the	DET
cet-1161	175	15	method	method	NOUN
cet-1161	175	16	of	of	ADP
cet-1161	175	17	sensors	sensor	NOUN
cet-1161	175	18	data	data	NOUN
cet-1161	175	19	fusion	fusion	NOUN
cet-1161	175	20	based	base	VERB
cet-1161	175	21	on	on	ADP
cet-1161	175	22	svr	svr	PROPN
cet-1161	175	23	.	.	PUNCT
cet-1161	176	1	chinese	chinese	ADJ
cet-1161	176	2	journal	journal	PROPN
cet-1161	176	3	of	of	ADP
cet-1161	176	4	sensors	sensor	NOUN
cet-1161	176	5	and	and	CCONJ
cet-1161	176	6	actuators	actuator	NOUN
cet-1161	176	7	,	,	PUNCT
cet-1161	176	8	24(5	24(5	NOUN
cet-1161	176	9	)	)	PUNCT
cet-1161	176	10	,	,	PUNCT
cet-1161	176	11	710	710	NUM
cet-1161	176	12	-	-	SYM
cet-1161	176	13	712	712	NUM
cet-1161	176	14	li	li	PROPN
cet-1161	176	15	d.	d.	PROPN
cet-1161	176	16	,	,	PUNCT
cet-1161	176	17	liu	liu	PROPN
cet-1161	176	18	t.j	t.j	PROPN
cet-1161	176	19	.	.	PROPN
cet-1161	176	20	,	,	PUNCT
cet-1161	176	21	lin	lin	PROPN
cet-1161	176	22	n.	n.	PROPN
cet-1161	176	23	,	,	PUNCT
cet-1161	176	24	huang	huang	PROPN
cet-1161	176	25	c.z	c.z	PROPN
cet-1161	176	26	.	.	PROPN
cet-1161	176	27	,	,	PUNCT
cet-1161	176	28	2014	2014	NUM
cet-1161	176	29	,	,	PUNCT
cet-1161	176	30	data	datum	NOUN
cet-1161	176	31	aggregation	aggregation	NOUN
cet-1161	176	32	in	in	ADP
cet-1161	176	33	wireless	wireless	ADJ
cet-1161	176	34	sensor	sensor	NOUN
cet-1161	176	35	network	network	NOUN
cet-1161	176	36	based	base	VERB
cet-1161	176	37	on	on	ADP
cet-1161	176	38	deep	deep	ADJ
cet-1161	176	39	learning	learning	NOUN
cet-1161	176	40	model	model	NOUN
cet-1161	176	41	.	.	PUNCT
cet-1161	177	1	chinese	chinese	ADJ
cet-1161	177	2	journal	journal	PROPN
cet-1161	177	3	of	of	ADP
cet-1161	177	4	sensors	sensor	NOUN
cet-1161	177	5	and	and	CCONJ
cet-1161	177	6	actuators	actuator	NOUN
cet-1161	177	7	,	,	PUNCT
cet-1161	177	8	27(12	27(12	NUM
cet-1161	177	9	)	)	PUNCT
cet-1161	177	10	,	,	PUNCT
cet-1161	177	11	1705	1705	NUM
cet-1161	177	12	-	-	SYM
cet-1161	177	13	1709	1709	NUM
cet-1161	177	14	li	li	PROPN
cet-1161	177	15	l.	l.	PROPN
cet-1161	177	16	,	,	PUNCT
cet-1161	177	17	wang	wang	PROPN
cet-1161	177	18	l.	l.	PROPN
cet-1161	177	19	,	,	PUNCT
cet-1161	177	20	zhang	zhang	PROPN
cet-1161	177	21	f.g	f.g	PROPN
cet-1161	177	22	.	.	PROPN
cet-1161	177	23	,	,	PUNCT
cet-1161	177	24	wang	wang	PROPN
cet-1161	177	25	x.z	x.z	PROPN
cet-1161	177	26	.	.	PROPN
cet-1161	177	27	,	,	PUNCT
cet-1161	177	28	2012	2012	NUM
cet-1161	177	29	,	,	PUNCT
cet-1161	177	30	lower	low	ADJ
cet-1161	177	31	energy	energy	NOUN
cet-1161	177	32	adaptive	adaptive	ADJ
cet-1161	177	33	clustering	clustering	NOUN
cet-1161	177	34	hierarchy	hierarchy	NOUN
cet-1161	177	35	routing	routing	NOUN
cet-1161	177	36	protocol	protocol	NOUN
cet-1161	177	37	for	for	ADP
cet-1161	177	38	wireless	wireless	ADJ
cet-1161	177	39	sensor	sensor	NOUN
cet-1161	177	40	network	network	NOUN
cet-1161	177	41	.	.	PUNCT
cet-1161	178	1	journal	journal	PROPN
cet-1161	178	2	of	of	ADP
cet-1161	178	3	computer	computer	NOUN
cet-1161	178	4	applications	application	NOUN
cet-1161	178	5	,	,	PUNCT
cet-1161	178	6	32(10	32(10	NUM
cet-1161	178	7	)	)	PUNCT
cet-1161	178	8	,	,	PUNCT
cet-1161	178	9	2700	2700	NUM
cet-1161	178	10	-	-	SYM
cet-1161	178	11	2703	2703	NUM
cet-1161	178	12	lin	lin	PROPN
cet-1161	178	13	k.	k.	PROPN
cet-1161	178	14	,	,	PUNCT
cet-1161	178	15	zhao	zhao	PROPN
cet-1161	178	16	h.	h.	PROPN
cet-1161	178	17	,	,	PUNCT
cet-1161	178	18	yin	yin	PROPN
cet-1161	178	19	z.y	z.y	PROPN
cet-1161	178	20	.	.	PROPN
cet-1161	178	21	,	,	PUNCT
cet-1161	178	22	luo	luo	PROPN
cet-1161	178	23	d.d	d.d	PROPN
cet-1161	178	24	.	.	PROPN
cet-1161	178	25	,	,	PUNCT
cet-1161	178	26	2008	2008	NUM
cet-1161	178	27	,	,	PUNCT
cet-1161	178	28	a	a	DET
cet-1161	178	29	clustering	clustering	ADJ
cet-1161	178	30	hierarchy	hierarchy	NOUN
cet-1161	178	31	arithmetic	arithmetic	NOUN
cet-1161	178	32	based	base	VERB
cet-1161	178	33	on	on	ADP
cet-1161	178	34	energy	energy	NOUN
cet-1161	178	35	prediction	prediction	NOUN
cet-1161	178	36	for	for	ADP
cet-1161	178	37	wireless	wireless	ADJ
cet-1161	178	38	sensor	sensor	NOUN
cet-1161	178	39	networks	network	NOUN
cet-1161	178	40	.	.	PUNCT
cet-1161	179	1	acta	acta	PROPN
cet-1161	179	2	electronica	electronica	PROPN
cet-1161	179	3	sinica	sinica	PROPN
cet-1161	179	4	,	,	PUNCT
cet-1161	179	5	36(4	36(4	NUM
cet-1161	179	6	)	)	PUNCT
cet-1161	179	7	,	,	PUNCT
cet-1161	179	8	824	824	NUM
cet-1161	179	9	-	-	SYM
cet-1161	179	10	828	828	NUM
cet-1161	179	11	qiu	qiu	PROPN
cet-1161	179	12	c.	c.	PROPN
cet-1161	179	13	,	,	PUNCT
cet-1161	179	14	2012	2012	NUM
cet-1161	179	15	,	,	PUNCT
cet-1161	179	16	research	research	NOUN
cet-1161	179	17	on	on	ADP
cet-1161	179	18	data	datum	NOUN
cet-1161	179	19	fusion	fusion	NOUN
cet-1161	179	20	algorithms	algorithm	NOUN
cet-1161	179	21	in	in	ADP
cet-1161	179	22	wireless	wireless	ADJ
cet-1161	179	23	sensor	sensor	NOUN
cet-1161	179	24	network	network	NOUN
cet-1161	179	25	for	for	ADP
cet-1161	179	26	indoor	indoor	ADJ
cet-1161	179	27	environment	environment	NOUN
cet-1161	179	28	monitoring	monitor	VERB
cet-1161	179	29	system	system	NOUN
cet-1161	179	30	.	.	PUNCT
cet-1161	180	1	23	23	NUM
cet-1161	180	2	-	-	SYM
cet-1161	180	3	27	27	NUM
cet-1161	180	4	liu	liu	PROPN
cet-1161	180	5	x.r	x.r	PROPN
cet-1161	180	6	.	.	PROPN
cet-1161	180	7	,	,	PUNCT
cet-1161	180	8	2014	2014	NUM
cet-1161	180	9	,	,	PUNCT
cet-1161	180	10	research	research	NOUN
cet-1161	180	11	of	of	ADP
cet-1161	180	12	the	the	DET
cet-1161	180	13	data	data	NOUN
cet-1161	180	14	fusion	fusion	NOUN
cet-1161	180	15	technology	technology	NOUN
cet-1161	180	16	in	in	ADP
cet-1161	180	17	wireless	wireless	ADJ
cet-1161	180	18	sensor	sensor	NOUN
cet-1161	180	19	networks	network	NOUN
cet-1161	180	20	.	.	PUNCT
cet-1161	181	1	27	27	NUM
cet-1161	181	2	-	-	SYM
cet-1161	181	3	29	29	NUM
cet-1161	181	4	xiang	xiang	PROPN
cet-1161	181	5	m.	m.	NOUN
cet-1161	181	6	,	,	PUNCT
cet-1161	181	7	shi	shi	PROPN
cet-1161	181	8	w.r	w.r	PROPN
cet-1161	181	9	.	.	PROPN
cet-1161	181	10	,	,	PUNCT
cet-1161	181	11	jiang	jiang	PROPN
cet-1161	181	12	c.j	c.j	PROPN
cet-1161	181	13	.	.	PROPN
cet-1161	181	14	,	,	PUNCT
cet-1161	181	15	zhang	zhang	PROPN
cet-1161	181	16	y.	y.	PROPN
cet-1161	181	17	,	,	PUNCT
cet-1161	181	18	2010	2010	NUM
cet-1161	181	19	,	,	PUNCT
cet-1161	181	20	energy	energy	NOUN
cet-1161	181	21	efficient	efficient	ADJ
cet-1161	181	22	clustering	clustering	ADJ
cet-1161	181	23	algorithm	algorithm	NOUN
cet-1161	181	24	for	for	ADP
cet-1161	181	25	maximizing	maximize	VERB
cet-1161	181	26	life	life	NOUN
cet-1161	181	27	time	time	NOUN
cet-1161	181	28	of	of	ADP
cet-1161	181	29	wireless	wireless	ADJ
cet-1161	181	30	sensor	sensor	NOUN
cet-1161	181	31	networks	network	NOUN
cet-1161	181	32	.	.	PUNCT
cet-1161	182	1	aeu	aeu	ADV
cet-1161	182	2	-	-	PUNCT
cet-1161	182	3	international	international	ADJ
cet-1161	182	4	journal	journal	NOUN
cet-1161	182	5	of	of	ADP
cet-1161	182	6	electronic	electronic	ADJ
cet-1161	182	7	&	&	CCONJ
cet-1161	182	8	communication	communication	NOUN
cet-1161	182	9	,	,	PUNCT
cet-1161	182	10	64(4	64(4	NUM
cet-1161	182	11	)	)	PUNCT
cet-1161	182	12	,	,	PUNCT
cet-1161	182	13	289	289	NUM
cet-1161	182	14	-	-	SYM
cet-1161	182	15	298	298	NUM
cet-1161	182	16	zhang	zhang	PROPN
cet-1161	182	17	p.	p.	PROPN
cet-1161	182	18	,	,	PUNCT
cet-1161	182	19	dong	dong	PROPN
cet-1161	182	20	w.j	w.j	PROPN
cet-1161	182	21	.	.	PROPN
cet-1161	182	22	,	,	PUNCT
cet-1161	182	23	gao	gao	PROPN
cet-1161	182	24	d.d	d.d	PROPN
cet-1161	182	25	.	.	PROPN
cet-1161	182	26	2014	2014	NUM
cet-1161	182	27	,	,	PUNCT
cet-1161	182	28	an	an	DET
cet-1161	182	29	optimal	optimal	ADJ
cet-1161	182	30	method	method	NOUN
cet-1161	182	31	of	of	ADP
cet-1161	182	32	data	datum	NOUN
cet-1161	182	33	fusion	fusion	NOUN
cet-1161	182	34	for	for	ADP
cet-1161	182	35	multi	multi	ADJ
cet-1161	182	36	-	-	NOUN
cet-1161	182	37	sensors	sensor	NOUN
cet-1161	182	38	based	base	VERB
cet-1161	182	39	on	on	ADP
cet-1161	182	40	bayesian	bayesian	NOUN
cet-1161	182	41	estimation	estimation	NOUN
cet-1161	182	42	.	.	PUNCT
cet-1161	183	1	chinese	chinese	ADJ
cet-1161	183	2	journal	journal	PROPN
cet-1161	183	3	of	of	ADP
cet-1161	183	4	sensors	sensor	NOUN
cet-1161	183	5	and	and	CCONJ
cet-1161	183	6	actuators	actuator	NOUN
cet-1161	183	7	,	,	PUNCT
cet-1161	183	8	27(5):244	27(5):244	NUM
cet-1161	183	9	-	-	PUNCT
cet-1161	183	10	247	247	NUM
cet-1161	183	11	yager	yager	NOUN
cet-1161	183	12	r.r	r.r	PROPN
cet-1161	183	13	.	.	PROPN
cet-1161	183	14	,	,	PUNCT
cet-1161	183	15	2001	2001	NUM
cet-1161	183	16	,	,	PUNCT
cet-1161	183	17	the	the	DET
cet-1161	183	18	power	power	NOUN
cet-1161	183	19	average	average	NOUN
cet-1161	183	20	operator	operator	NOUN
cet-1161	183	21	.	.	PUNCT
cet-1161	184	1	ieee	ieee	NOUN
cet-1161	184	2	transactions	transaction	NOUN
cet-1161	184	3	on	on	ADP
cet-1161	184	4	systems	system	NOUN
cet-1161	184	5	,	,	PUNCT
cet-1161	184	6	man	man	NOUN
cet-1161	184	7	,	,	PUNCT
cet-1161	184	8	and	and	CCONJ
cet-1161	184	9	cybernetics	cybernetic	NOUN
cet-1161	184	10	,	,	PUNCT
cet-1161	184	11	31(6	31(6	NUM
cet-1161	184	12	)	)	PUNCT
cet-1161	184	13	,	,	PUNCT
cet-1161	184	14	724	724	NUM
cet-1161	184	15	-	-	SYM
cet-1161	184	16	731	731	NUM
cet-1161	184	17	.	.	PUNCT
cet-1161	185	1	570	570	NUM