id	sid	tid	token	lemma	pos
cet-3921	1	1	chemical	chemical	NOUN
cet-3921	1	2	engineering	engineering	NOUN
cet-3921	1	3	transactions	transaction	NOUN
cet-3921	1	4	vol	vol	NOUN
cet-3921	1	5	.	.	PROPN
cet-3921	2	1	51	51	NUM
cet-3921	2	2	,	,	PUNCT
cet-3921	2	3	2016	2016	NUM
cet-3921	2	4	a	a	DET
cet-3921	2	5	publication	publication	NOUN
cet-3921	2	6	of	of	ADP
cet-3921	2	7	the	the	DET
cet-3921	2	8	italian	italian	ADJ
cet-3921	2	9	association	association	NOUN
cet-3921	2	10	of	of	ADP
cet-3921	2	11	chemical	chemical	PROPN
cet-3921	2	12	engineering	engineering	NOUN
cet-3921	2	13	online	online	ADV
cet-3921	2	14	at	at	ADP
cet-3921	2	15	www.aidic.it/cet	www.aidic.it/cet	PROPN
cet-3921	2	16	guest	guest	NOUN
cet-3921	2	17	editors	editor	NOUN
cet-3921	2	18	:	:	PUNCT
cet-3921	2	19	tichun	tichun	PROPN
cet-3921	2	20	wang	wang	PROPN
cet-3921	2	21	,	,	PUNCT
cet-3921	2	22	hongyang	hongyang	PROPN
cet-3921	2	23	zhang	zhang	PROPN
cet-3921	2	24	,	,	PUNCT
cet-3921	2	25	lei	lei	PROPN
cet-3921	2	26	tian	tian	ADJ
cet-3921	2	27	copyright	copyright	NOUN
cet-3921	2	28	©	©	PROPN
cet-3921	2	29	2016	2016	NUM
cet-3921	2	30	,	,	PUNCT
cet-3921	2	31	aidic	aidic	ADJ
cet-3921	2	32	servizi	servizi	PROPN
cet-3921	2	33	s.r.l	s.r.l	NOUN
cet-3921	2	34	.	.	PUNCT
cet-3921	2	35	,	,	PUNCT
cet-3921	2	36	isbn	isbn	PROPN
cet-3921	2	37	978	978	NUM
cet-3921	2	38	-	-	SYM
cet-3921	2	39	88	88	NUM
cet-3921	2	40	-	-	PUNCT
cet-3921	2	41	95608	95608	NUM
cet-3921	2	42	-	-	PUNCT
cet-3921	2	43	43	43	NUM
cet-3921	2	44	-	-	SYM
cet-3921	2	45	3	3	NUM
cet-3921	2	46	;	;	PUNCT
cet-3921	2	47	issn	issn	PROPN
cet-3921	2	48	2283	2283	NUM
cet-3921	2	49	-	-	SYM
cet-3921	2	50	9216	9216	NUM
cet-3921	2	51	application	application	NOUN
cet-3921	2	52	of	of	ADP
cet-3921	2	53	an	an	DET
cet-3921	2	54	improved	improve	VERB
cet-3921	2	55	svm	svm	ADJ
cet-3921	2	56	algorithm	algorithm	NOUN
cet-3921	2	57	for	for	ADP
cet-3921	2	58	wireless	wireless	ADJ
cet-3921	2	59	sensor	sensor	NOUN
cet-3921	2	60	networks	network	NOUN
cet-3921	2	61	in	in	ADP
cet-3921	2	62	the	the	DET
cet-3921	2	63	prediction	prediction	NOUN
cet-3921	2	64	of	of	ADP
cet-3921	2	65	air	air	NOUN
cet-3921	2	66	pollution	pollution	PROPN
cet-3921	2	67	jianfen	jianfen	PROPN
cet-3921	2	68	liu	liu	PROPN
cet-3921	2	69	*	*	PROPN
cet-3921	2	70	,	,	PUNCT
cet-3921	2	71	qiming	qime	VERB
cet-3921	2	72	wang	wang	PROPN
cet-3921	2	73	collage	collage	NOUN
cet-3921	2	74	of	of	ADP
cet-3921	2	75	computer	computer	NOUN
cet-3921	2	76	science	science	NOUN
cet-3921	2	77	and	and	CCONJ
cet-3921	2	78	technology	technology	NOUN
cet-3921	2	79	,	,	PUNCT
cet-3921	2	80	pingdingshan	pingdingshan	PROPN
cet-3921	2	81	university	university	PROPN
cet-3921	2	82	,	,	PUNCT
cet-3921	2	83	pingdingshan	pingdingshan	PROPN
cet-3921	2	84	,	,	PUNCT
cet-3921	2	85	henan	henan	PROPN
cet-3921	2	86	,	,	PUNCT
cet-3921	2	87	china	china	PROPN
cet-3921	2	88	2094991521@qq.com	2094991521@qq.com	NUM
cet-3921	2	89	as	as	SCONJ
cet-3921	2	90	is	be	AUX
cet-3921	2	91	known	know	VERB
cet-3921	2	92	to	to	ADP
cet-3921	2	93	all	all	PRON
cet-3921	2	94	,	,	PUNCT
cet-3921	2	95	human	human	PROPN
cet-3921	2	96	's	's	PART
cet-3921	2	97	daily	daily	ADJ
cet-3921	2	98	life	life	NOUN
cet-3921	2	99	can	can	AUX
cet-3921	2	100	not	not	PART
cet-3921	2	101	be	be	AUX
cet-3921	2	102	separated	separate	VERB
cet-3921	2	103	from	from	ADP
cet-3921	2	104	the	the	DET
cet-3921	2	105	atmospheric	atmospheric	ADJ
cet-3921	2	106	environment	environment	NOUN
cet-3921	2	107	,	,	PUNCT
cet-3921	2	108	and	and	CCONJ
cet-3921	2	109	the	the	DET
cet-3921	2	110	quality	quality	NOUN
cet-3921	2	111	of	of	ADP
cet-3921	2	112	human	human	ADJ
cet-3921	2	113	life	life	NOUN
cet-3921	2	114	is	be	AUX
cet-3921	2	115	directly	directly	ADV
cet-3921	2	116	affected	affect	VERB
cet-3921	2	117	by	by	ADP
cet-3921	2	118	the	the	DET
cet-3921	2	119	quality	quality	NOUN
cet-3921	2	120	of	of	ADP
cet-3921	2	121	the	the	DET
cet-3921	2	122	atmospheric	atmospheric	ADJ
cet-3921	2	123	environment	environment	NOUN
cet-3921	2	124	.	.	PUNCT
cet-3921	3	1	in	in	ADP
cet-3921	3	2	recent	recent	ADJ
cet-3921	3	3	decades	decade	NOUN
cet-3921	3	4	,	,	PUNCT
cet-3921	3	5	the	the	DET
cet-3921	3	6	rapid	rapid	ADJ
cet-3921	3	7	development	development	NOUN
cet-3921	3	8	of	of	ADP
cet-3921	3	9	china	china	PROPN
cet-3921	3	10	's	's	PART
cet-3921	3	11	economy	economy	NOUN
cet-3921	3	12	,	,	PUNCT
cet-3921	3	13	industry	industry	NOUN
cet-3921	3	14	,	,	PUNCT
cet-3921	3	15	transportation	transportation	NOUN
cet-3921	3	16	and	and	CCONJ
cet-3921	3	17	other	other	ADJ
cet-3921	3	18	industries	industry	NOUN
cet-3921	3	19	cause	cause	VERB
cet-3921	3	20	that	that	DET
cet-3921	3	21	concentration	concentration	NOUN
cet-3921	3	22	of	of	ADP
cet-3921	3	23	the	the	DET
cet-3921	3	24	hazardous	hazardous	ADJ
cet-3921	3	25	material	material	NOUN
cet-3921	3	26	in	in	ADP
cet-3921	3	27	the	the	DET
cet-3921	3	28	air	air	NOUN
cet-3921	3	29	is	be	AUX
cet-3921	3	30	much	much	ADV
cet-3921	3	31	higher	high	ADJ
cet-3921	3	32	than	than	ADP
cet-3921	3	33	the	the	DET
cet-3921	3	34	identification	identification	NOUN
cet-3921	3	35	standard	standard	NOUN
cet-3921	3	36	.	.	PUNCT
cet-3921	4	1	it	it	PRON
cet-3921	4	2	not	not	PART
cet-3921	4	3	only	only	ADV
cet-3921	4	4	affects	affect	VERB
cet-3921	4	5	everyone	everyone	PRON
cet-3921	4	6	's	's	PART
cet-3921	4	7	life	life	NOUN
cet-3921	4	8	and	and	CCONJ
cet-3921	4	9	production	production	NOUN
cet-3921	4	10	,	,	PUNCT
cet-3921	4	11	but	but	CCONJ
cet-3921	4	12	also	also	ADV
cet-3921	4	13	hinders	hinder	VERB
cet-3921	4	14	the	the	DET
cet-3921	4	15	development	development	NOUN
cet-3921	4	16	of	of	ADP
cet-3921	4	17	the	the	DET
cet-3921	4	18	whole	whole	ADJ
cet-3921	4	19	society	society	NOUN
cet-3921	4	20	.	.	PUNCT
cet-3921	5	1	based	base	VERB
cet-3921	5	2	on	on	ADP
cet-3921	5	3	this	this	PRON
cet-3921	5	4	,	,	PUNCT
cet-3921	5	5	with	with	ADP
cet-3921	5	6	the	the	DET
cet-3921	5	7	help	help	NOUN
cet-3921	5	8	of	of	ADP
cet-3921	5	9	the	the	DET
cet-3921	5	10	wireless	wireless	ADJ
cet-3921	5	11	sensor	sensor	NOUN
cet-3921	5	12	technology	technology	NOUN
cet-3921	5	13	,	,	PUNCT
cet-3921	5	14	this	this	DET
cet-3921	5	15	paper	paper	NOUN
cet-3921	5	16	builds	build	VERB
cet-3921	5	17	a	a	DET
cet-3921	5	18	wireless	wireless	ADJ
cet-3921	5	19	sensor	sensor	NOUN
cet-3921	5	20	networks	network	NOUN
cet-3921	5	21	for	for	ADP
cet-3921	5	22	the	the	DET
cet-3921	5	23	acquisition	acquisition	NOUN
cet-3921	5	24	and	and	CCONJ
cet-3921	5	25	transmission	transmission	NOUN
cet-3921	5	26	of	of	ADP
cet-3921	5	27	various	various	ADJ
cet-3921	5	28	air	air	NOUN
cet-3921	5	29	pollutants	pollutant	NOUN
cet-3921	5	30	data	datum	NOUN
cet-3921	5	31	.	.	PUNCT
cet-3921	6	1	this	this	DET
cet-3921	6	2	network	network	NOUN
cet-3921	6	3	can	can	AUX
cet-3921	6	4	effectively	effectively	ADV
cet-3921	6	5	monitor	monitor	VERB
cet-3921	6	6	the	the	DET
cet-3921	6	7	current	current	ADJ
cet-3921	6	8	existence	existence	NOUN
cet-3921	6	9	of	of	ADP
cet-3921	6	10	most	most	ADJ
cet-3921	6	11	of	of	ADP
cet-3921	6	12	the	the	DET
cet-3921	6	13	pollutant	pollutant	ADJ
cet-3921	6	14	gas	gas	NOUN
cet-3921	6	15	.	.	PUNCT
cet-3921	7	1	secondly	secondly	ADV
cet-3921	7	2	,	,	PUNCT
cet-3921	7	3	according	accord	VERB
cet-3921	7	4	to	to	ADP
cet-3921	7	5	the	the	DET
cet-3921	7	6	received	receive	VERB
cet-3921	7	7	data	datum	NOUN
cet-3921	7	8	,	,	PUNCT
cet-3921	7	9	this	this	DET
cet-3921	7	10	paper	paper	NOUN
cet-3921	7	11	introduces	introduce	VERB
cet-3921	7	12	the	the	DET
cet-3921	7	13	support	support	NOUN
cet-3921	7	14	vector	vector	NOUN
cet-3921	7	15	regression	regression	NOUN
cet-3921	7	16	model	model	NOUN
cet-3921	7	17	based	base	VERB
cet-3921	7	18	on	on	ADP
cet-3921	7	19	ant	ant	ADJ
cet-3921	7	20	colony	colony	NOUN
cet-3921	7	21	optimization	optimization	NOUN
cet-3921	7	22	to	to	PART
cet-3921	7	23	forecast	forecast	VERB
cet-3921	7	24	the	the	DET
cet-3921	7	25	concentration	concentration	NOUN
cet-3921	7	26	of	of	ADP
cet-3921	7	27	pollutants	pollutant	NOUN
cet-3921	7	28	in	in	ADP
cet-3921	7	29	the	the	DET
cet-3921	7	30	air	air	NOUN
cet-3921	7	31	.	.	PUNCT
cet-3921	8	1	because	because	SCONJ
cet-3921	8	2	the	the	DET
cet-3921	8	3	prediction	prediction	NOUN
cet-3921	8	4	accuracy	accuracy	NOUN
cet-3921	8	5	of	of	ADP
cet-3921	8	6	support	support	NOUN
cet-3921	8	7	vector	vector	NOUN
cet-3921	8	8	machine	machine	NOUN
cet-3921	8	9	is	be	AUX
cet-3921	8	10	largely	largely	ADV
cet-3921	8	11	determined	determine	VERB
cet-3921	8	12	by	by	ADP
cet-3921	8	13	the	the	DET
cet-3921	8	14	selection	selection	NOUN
cet-3921	8	15	of	of	ADP
cet-3921	8	16	parameters	parameter	NOUN
cet-3921	8	17	,	,	PUNCT
cet-3921	8	18	the	the	DET
cet-3921	8	19	selection	selection	NOUN
cet-3921	8	20	of	of	ADP
cet-3921	8	21	training	training	NOUN
cet-3921	8	22	parameters	parameter	NOUN
cet-3921	8	23	is	be	AUX
cet-3921	8	24	optimized	optimize	VERB
cet-3921	8	25	by	by	ADP
cet-3921	8	26	using	use	VERB
cet-3921	8	27	ant	ant	ADJ
cet-3921	8	28	colony	colony	NOUN
cet-3921	8	29	algorithm	algorithm	NOUN
cet-3921	8	30	in	in	ADP
cet-3921	8	31	order	order	NOUN
cet-3921	8	32	to	to	PART
cet-3921	8	33	get	get	VERB
cet-3921	8	34	the	the	DET
cet-3921	8	35	optimized	optimize	VERB
cet-3921	8	36	support	support	NOUN
cet-3921	8	37	vector	vector	NOUN
cet-3921	8	38	machine	machine	NOUN
cet-3921	8	39	prediction	prediction	NOUN
cet-3921	8	40	model	model	NOUN
cet-3921	8	41	.	.	PUNCT
cet-3921	9	1	at	at	ADP
cet-3921	9	2	last	last	ADV
cet-3921	9	3	,	,	PUNCT
cet-3921	9	4	we	we	PRON
cet-3921	9	5	use	use	VERB
cet-3921	9	6	the	the	DET
cet-3921	9	7	modified	modify	VERB
cet-3921	9	8	model	model	NOUN
cet-3921	9	9	to	to	PART
cet-3921	9	10	predict	predict	VERB
cet-3921	9	11	the	the	DET
cet-3921	9	12	concentration	concentration	NOUN
cet-3921	9	13	of	of	ADP
cet-3921	9	14	pm2.5	pm2.5	PROPN
cet-3921	9	15	with	with	ADP
cet-3921	9	16	nonlinear	nonlinear	ADJ
cet-3921	9	17	data	datum	NOUN
cet-3921	9	18	.	.	PUNCT
cet-3921	10	1	experimental	experimental	ADJ
cet-3921	10	2	results	result	NOUN
cet-3921	10	3	show	show	VERB
cet-3921	10	4	that	that	SCONJ
cet-3921	10	5	the	the	DET
cet-3921	10	6	proposed	propose	VERB
cet-3921	10	7	improved	improve	VERB
cet-3921	10	8	support	support	NOUN
cet-3921	10	9	vector	vector	NOUN
cet-3921	10	10	prediction	prediction	NOUN
cet-3921	10	11	algorithm	algorithm	NOUN
cet-3921	10	12	is	be	AUX
cet-3921	10	13	effective	effective	ADJ
cet-3921	10	14	,	,	PUNCT
cet-3921	10	15	and	and	CCONJ
cet-3921	10	16	is	be	AUX
cet-3921	10	17	significantly	significantly	ADV
cet-3921	10	18	better	well	ADJ
cet-3921	10	19	than	than	ADP
cet-3921	10	20	the	the	DET
cet-3921	10	21	other	other	ADJ
cet-3921	10	22	two	two	NUM
cet-3921	10	23	prediction	prediction	NOUN
cet-3921	10	24	algorithm	algorithm	NOUN
cet-3921	10	25	.	.	PUNCT
cet-3921	11	1	1	1	X
cet-3921	11	2	.	.	X
cet-3921	11	3	introduction	introduction	NOUN
cet-3921	11	4	as	as	SCONJ
cet-3921	11	5	is	be	AUX
cet-3921	11	6	known	know	VERB
cet-3921	11	7	to	to	ADP
cet-3921	11	8	all	all	PRON
cet-3921	11	9	,	,	PUNCT
cet-3921	11	10	human	human	PROPN
cet-3921	11	11	's	's	PART
cet-3921	11	12	daily	daily	ADJ
cet-3921	11	13	life	life	NOUN
cet-3921	11	14	can	can	AUX
cet-3921	11	15	not	not	PART
cet-3921	11	16	be	be	AUX
cet-3921	11	17	separated	separate	VERB
cet-3921	11	18	from	from	ADP
cet-3921	11	19	the	the	DET
cet-3921	11	20	atmospheric	atmospheric	ADJ
cet-3921	11	21	environment	environment	NOUN
cet-3921	11	22	,	,	PUNCT
cet-3921	11	23	and	and	CCONJ
cet-3921	11	24	the	the	DET
cet-3921	11	25	quality	quality	NOUN
cet-3921	11	26	of	of	ADP
cet-3921	11	27	human	human	ADJ
cet-3921	11	28	life	life	NOUN
cet-3921	11	29	is	be	AUX
cet-3921	11	30	directly	directly	ADV
cet-3921	11	31	affected	affect	VERB
cet-3921	11	32	by	by	ADP
cet-3921	11	33	the	the	DET
cet-3921	11	34	quality	quality	NOUN
cet-3921	11	35	of	of	ADP
cet-3921	11	36	the	the	DET
cet-3921	11	37	atmospheric	atmospheric	ADJ
cet-3921	11	38	environment	environment	NOUN
cet-3921	11	39	.	.	PUNCT
cet-3921	12	1	in	in	ADP
cet-3921	12	2	recent	recent	ADJ
cet-3921	12	3	decades	decade	NOUN
cet-3921	12	4	,	,	PUNCT
cet-3921	12	5	the	the	DET
cet-3921	12	6	rapid	rapid	ADJ
cet-3921	12	7	development	development	NOUN
cet-3921	12	8	of	of	ADP
cet-3921	12	9	china	china	PROPN
cet-3921	12	10	's	's	PART
cet-3921	12	11	economy	economy	NOUN
cet-3921	12	12	,	,	PUNCT
cet-3921	12	13	industry	industry	NOUN
cet-3921	12	14	,	,	PUNCT
cet-3921	12	15	transportation	transportation	NOUN
cet-3921	12	16	and	and	CCONJ
cet-3921	12	17	other	other	ADJ
cet-3921	12	18	industries	industry	NOUN
cet-3921	12	19	cause	cause	VERB
cet-3921	12	20	that	that	DET
cet-3921	12	21	concentration	concentration	NOUN
cet-3921	12	22	of	of	ADP
cet-3921	12	23	the	the	DET
cet-3921	12	24	hazardous	hazardous	ADJ
cet-3921	12	25	material	material	NOUN
cet-3921	12	26	in	in	ADP
cet-3921	12	27	the	the	DET
cet-3921	12	28	air	air	NOUN
cet-3921	12	29	is	be	AUX
cet-3921	12	30	much	much	ADV
cet-3921	12	31	higher	high	ADJ
cet-3921	12	32	than	than	ADP
cet-3921	12	33	the	the	DET
cet-3921	12	34	identification	identification	NOUN
cet-3921	12	35	standard	standard	NOUN
cet-3921	12	36	it	it	PRON
cet-3921	12	37	not	not	PART
cet-3921	12	38	only	only	ADV
cet-3921	12	39	affects	affect	VERB
cet-3921	12	40	everyone	everyone	PRON
cet-3921	12	41	's	's	PART
cet-3921	12	42	life	life	NOUN
cet-3921	12	43	and	and	CCONJ
cet-3921	12	44	production	production	NOUN
cet-3921	12	45	,	,	PUNCT
cet-3921	12	46	but	but	CCONJ
cet-3921	12	47	also	also	ADV
cet-3921	12	48	hinders	hinder	VERB
cet-3921	12	49	the	the	DET
cet-3921	12	50	development	development	NOUN
cet-3921	12	51	of	of	ADP
cet-3921	12	52	the	the	DET
cet-3921	12	53	whole	whole	ADJ
cet-3921	12	54	society(wu	society(wu	NOUN
cet-3921	12	55	,	,	PUNCT
cet-3921	12	56	2010	2010	NUM
cet-3921	12	57	;	;	PUNCT
cet-3921	13	1	hao	hao	PROPN
cet-3921	13	2	et	et	PROPN
cet-3921	13	3	al	al	PROPN
cet-3921	13	4	.	.	PROPN
cet-3921	13	5	,	,	PUNCT
cet-3921	13	6	2012	2012	NUM
cet-3921	13	7	;	;	PUNCT
cet-3921	13	8	chen	chen	PROPN
cet-3921	13	9	and	and	CCONJ
cet-3921	13	10	li	li	PROPN
cet-3921	13	11	,	,	PUNCT
cet-3921	13	12	2013	2013	NUM
cet-3921	13	13	)	)	PUNCT
cet-3921	13	14	.	.	PUNCT
cet-3921	14	1	the	the	DET
cet-3921	14	2	wireless	wireless	ADJ
cet-3921	14	3	sensor	sensor	NOUN
cet-3921	14	4	network	network	NOUN
cet-3921	14	5	technology	technology	NOUN
cet-3921	14	6	is	be	AUX
cet-3921	14	7	introduced	introduce	VERB
cet-3921	14	8	in	in	ADP
cet-3921	14	9	the	the	DET
cet-3921	14	10	field	field	NOUN
cet-3921	14	11	of	of	ADP
cet-3921	14	12	environmental	environmental	ADJ
cet-3921	14	13	monitoring	monitoring	NOUN
cet-3921	14	14	,	,	PUNCT
cet-3921	14	15	and	and	CCONJ
cet-3921	14	16	we	we	PRON
cet-3921	14	17	can	can	AUX
cet-3921	14	18	play	play	VERB
cet-3921	14	19	the	the	DET
cet-3921	14	20	unique	unique	ADJ
cet-3921	14	21	advantages	advantage	NOUN
cet-3921	14	22	of	of	ADP
cet-3921	14	23	the	the	DET
cet-3921	14	24	wireless	wireless	ADJ
cet-3921	14	25	sensor	sensor	NOUN
cet-3921	14	26	network	network	NOUN
cet-3921	14	27	technology	technology	NOUN
cet-3921	14	28	to	to	PART
cet-3921	14	29	realize	realize	VERB
cet-3921	14	30	the	the	DET
cet-3921	14	31	wireless	wireless	NOUN
cet-3921	14	32	and	and	CCONJ
cet-3921	14	33	automation	automation	NOUN
cet-3921	14	34	of	of	ADP
cet-3921	14	35	environmental	environmental	ADJ
cet-3921	14	36	monitoring	monitoring	NOUN
cet-3921	14	37	,	,	PUNCT
cet-3921	14	38	thus	thus	ADV
cet-3921	14	39	greatly	greatly	ADV
cet-3921	14	40	improves	improve	VERB
cet-3921	14	41	the	the	DET
cet-3921	14	42	environmental	environmental	ADJ
cet-3921	14	43	monitoring	monitoring	NOUN
cet-3921	14	44	technical	technical	ADJ
cet-3921	14	45	level	level	NOUN
cet-3921	14	46	.	.	PUNCT
cet-3921	15	1	the	the	DET
cet-3921	15	2	spatial	spatial	ADJ
cet-3921	15	3	interpolation	interpolation	NOUN
cet-3921	15	4	method	method	NOUN
cet-3921	15	5	is	be	AUX
cet-3921	15	6	a	a	DET
cet-3921	15	7	fast	fast	ADJ
cet-3921	15	8	and	and	CCONJ
cet-3921	15	9	effective	effective	ADJ
cet-3921	15	10	method	method	NOUN
cet-3921	15	11	to	to	PART
cet-3921	15	12	reflect	reflect	VERB
cet-3921	15	13	the	the	DET
cet-3921	15	14	whole	whole	ADJ
cet-3921	15	15	area	area	NOUN
cet-3921	15	16	pollution	pollution	NOUN
cet-3921	15	17	situation	situation	NOUN
cet-3921	15	18	through	through	ADP
cet-3921	15	19	the	the	DET
cet-3921	15	20	limited	limited	ADJ
cet-3921	15	21	monitoring	monitoring	NOUN
cet-3921	15	22	points	point	NOUN
cet-3921	15	23	.	.	PUNCT
cet-3921	16	1	it	it	PRON
cet-3921	16	2	has	have	AUX
cet-3921	16	3	been	be	AUX
cet-3921	16	4	widely	widely	ADV
cet-3921	16	5	used	use	VERB
cet-3921	16	6	in	in	ADP
cet-3921	16	7	the	the	DET
cet-3921	16	8	field	field	NOUN
cet-3921	16	9	of	of	ADP
cet-3921	16	10	environment	environment	NOUN
cet-3921	16	11	(	(	PUNCT
cet-3921	16	12	tian	tian	ADJ
cet-3921	16	13	l	l	X
cet-3921	16	14	et	et	PROPN
cet-3921	16	15	al	al	PROPN
cet-3921	16	16	.	.	PROPN
cet-3921	16	17	,	,	PUNCT
cet-3921	16	18	2011	2011	NUM
cet-3921	16	19	)	)	PUNCT
cet-3921	16	20	.	.	PUNCT
cet-3921	17	1	however	however	ADV
cet-3921	17	2	,	,	PUNCT
cet-3921	17	3	the	the	DET
cet-3921	17	4	research	research	NOUN
cet-3921	17	5	objects	object	NOUN
cet-3921	17	6	are	be	AUX
cet-3921	17	7	mostly	mostly	ADV
cet-3921	17	8	soil	soil	NOUN
cet-3921	17	9	element	element	NOUN
cet-3921	17	10	(	(	PUNCT
cet-3921	17	11	zhang	zhang	PROPN
cet-3921	17	12	et	et	PROPN
cet-3921	17	13	al	al	PROPN
cet-3921	17	14	.	.	PROPN
cet-3921	17	15	,	,	PUNCT
cet-3921	17	16	2010	2010	NUM
cet-3921	17	17	)	)	PUNCT
cet-3921	17	18	and	and	CCONJ
cet-3921	17	19	meteorological	meteorological	ADJ
cet-3921	17	20	element	element	NOUN
cet-3921	17	21	(	(	PUNCT
cet-3921	17	22	yuan	yuan	NOUN
cet-3921	17	23	f	f	PROPN
cet-3921	17	24	et	et	PROPN
cet-3921	17	25	al.(2008	al.(2008	PROPN
cet-3921	17	26	)	)	PUNCT
cet-3921	17	27	)	)	PUNCT
cet-3921	17	28	,	,	PUNCT
cet-3921	17	29	and	and	CCONJ
cet-3921	17	30	the	the	DET
cet-3921	17	31	spatial	spatial	ADJ
cet-3921	17	32	interpolation	interpolation	NOUN
cet-3921	17	33	method	method	NOUN
cet-3921	17	34	for	for	ADP
cet-3921	17	35	atmospheric	atmospheric	ADJ
cet-3921	17	36	particulate	particulate	NOUN
cet-3921	17	37	matter	matter	NOUN
cet-3921	17	38	is	be	AUX
cet-3921	17	39	less	less	ADJ
cet-3921	17	40	.	.	PUNCT
cet-3921	18	1	this	this	PRON
cet-3921	18	2	is	be	AUX
cet-3921	18	3	mainly	mainly	ADV
cet-3921	18	4	because	because	SCONJ
cet-3921	18	5	the	the	DET
cet-3921	18	6	spatial	spatial	ADJ
cet-3921	18	7	interpolation	interpolation	NOUN
cet-3921	18	8	requires	require	VERB
cet-3921	18	9	a	a	DET
cet-3921	18	10	certain	certain	ADJ
cet-3921	18	11	sample	sample	NOUN
cet-3921	18	12	.	.	PUNCT
cet-3921	19	1	for	for	ADP
cet-3921	19	2	a	a	DET
cet-3921	19	3	long	long	ADJ
cet-3921	19	4	time	time	NOUN
cet-3921	19	5	,	,	PUNCT
cet-3921	19	6	due	due	ADP
cet-3921	19	7	to	to	ADP
cet-3921	19	8	the	the	DET
cet-3921	19	9	monitoring	monitoring	NOUN
cet-3921	19	10	system	system	NOUN
cet-3921	19	11	is	be	AUX
cet-3921	19	12	not	not	PART
cet-3921	19	13	perfect	perfect	ADJ
cet-3921	19	14	,	,	PUNCT
cet-3921	19	15	the	the	DET
cet-3921	19	16	high	high	ADJ
cet-3921	19	17	cost	cost	NOUN
cet-3921	19	18	of	of	ADP
cet-3921	19	19	air	air	NOUN
cet-3921	19	20	monitoring	monitoring	NOUN
cet-3921	19	21	equipment	equipment	NOUN
cet-3921	19	22	and	and	CCONJ
cet-3921	19	23	other	other	ADJ
cet-3921	19	24	objective	objective	ADJ
cet-3921	19	25	reasons	reason	NOUN
cet-3921	19	26	,	,	PUNCT
cet-3921	19	27	it	it	PRON
cet-3921	19	28	is	be	AUX
cet-3921	19	29	difficult	difficult	ADJ
cet-3921	19	30	to	to	PART
cet-3921	19	31	obtain	obtain	VERB
cet-3921	19	32	a	a	DET
cet-3921	19	33	complete	complete	ADJ
cet-3921	19	34	time	time	NOUN
cet-3921	19	35	series	series	NOUN
cet-3921	19	36	of	of	ADP
cet-3921	19	37	multiple	multiple	ADJ
cet-3921	19	38	points	point	NOUN
cet-3921	19	39	simultaneously	simultaneously	ADV
cet-3921	19	40	monitoring	monitoring	NOUN
cet-3921	19	41	of	of	ADP
cet-3921	19	42	atmospheric	atmospheric	ADJ
cet-3921	19	43	particulate	particulate	NOUN
cet-3921	19	44	matter	matter	NOUN
cet-3921	19	45	concentration	concentration	NOUN
cet-3921	19	46	.	.	PUNCT
cet-3921	20	1	reddy	reddy	PROPN
cet-3921	20	2	a	a	DET
cet-3921	20	3	et	et	NOUN
cet-3921	20	4	al.(2009	al.(2009	NOUN
cet-3921	20	5	)	)	PUNCT
cet-3921	20	6	propose	propose	VERB
cet-3921	20	7	a	a	DET
cet-3921	20	8	smart	smart	ADJ
cet-3921	20	9	sensor	sensor	NOUN
cet-3921	20	10	monitoring	monitoring	NOUN
cet-3921	20	11	system	system	NOUN
cet-3921	20	12	for	for	ADP
cet-3921	20	13	the	the	DET
cet-3921	20	14	study	study	NOUN
cet-3921	20	15	of	of	ADP
cet-3921	20	16	air	air	NOUN
cet-3921	20	17	quality	quality	NOUN
cet-3921	20	18	and	and	CCONJ
cet-3921	20	19	comfort	comfort	NOUN
cet-3921	20	20	of	of	ADP
cet-3921	20	21	human	human	ADJ
cet-3921	20	22	life	life	NOUN
cet-3921	20	23	,	,	PUNCT
cet-3921	20	24	and	and	CCONJ
cet-3921	20	25	they	they	PRON
cet-3921	20	26	use	use	VERB
cet-3921	20	27	it	it	PRON
cet-3921	20	28	to	to	PART
cet-3921	20	29	monitor	monitor	VERB
cet-3921	20	30	the	the	DET
cet-3921	20	31	indoor	indoor	ADJ
cet-3921	20	32	air	air	NOUN
cet-3921	20	33	quality	quality	NOUN
cet-3921	20	34	,	,	PUNCT
cet-3921	20	35	and	and	CCONJ
cet-3921	20	36	achieved	achieve	VERB
cet-3921	20	37	good	good	ADJ
cet-3921	20	38	results	result	NOUN
cet-3921	20	39	.	.	PUNCT
cet-3921	21	1	mamidisetty	mamidisetty	PROPN
cet-3921	21	2	k	k	PROPN
cet-3921	21	3	k	k	PROPN
cet-3921	21	4	et	et	PROPN
cet-3921	21	5	al.(2009	al.(2009	PROPN
cet-3921	21	6	)	)	PUNCT
cet-3921	21	7	put	put	VERB
cet-3921	21	8	forward	forward	ADV
cet-3921	21	9	a	a	DET
cet-3921	21	10	set	set	NOUN
cet-3921	21	11	of	of	ADP
cet-3921	21	12	environmental	environmental	ADJ
cet-3921	21	13	monitoring	monitoring	NOUN
cet-3921	21	14	system	system	NOUN
cet-3921	21	15	which	which	PRON
cet-3921	21	16	is	be	AUX
cet-3921	21	17	dedicated	dedicate	VERB
cet-3921	21	18	to	to	PART
cet-3921	21	19	monitor	monitor	VERB
cet-3921	21	20	the	the	DET
cet-3921	21	21	indoor	indoor	ADJ
cet-3921	21	22	air	air	NOUN
cet-3921	21	23	quality	quality	NOUN
cet-3921	21	24	of	of	ADP
cet-3921	21	25	subway	subway	NOUN
cet-3921	21	26	.	.	PUNCT
cet-3921	22	1	wang	wang	PROPN
cet-3921	23	1	y	y	PROPN
cet-3921	23	2	g	g	PROPN
cet-3921	23	3	et	et	PROPN
cet-3921	23	4	al.(2010	al.(2010	NOUN
cet-3921	23	5	)	)	PUNCT
cet-3921	23	6	develop	develop	VERB
cet-3921	23	7	a	a	DET
cet-3921	23	8	distributed	distribute	VERB
cet-3921	23	9	environmental	environmental	ADJ
cet-3921	23	10	monitoring	monitoring	NOUN
cet-3921	23	11	system	system	NOUN
cet-3921	23	12	,	,	PUNCT
cet-3921	23	13	which	which	PRON
cet-3921	23	14	is	be	AUX
cet-3921	23	15	also	also	ADV
cet-3921	23	16	used	use	VERB
cet-3921	23	17	to	to	PART
cet-3921	23	18	monitor	monitor	VERB
cet-3921	23	19	the	the	DET
cet-3921	23	20	indoor	indoor	ADJ
cet-3921	23	21	air	air	NOUN
cet-3921	23	22	quality	quality	NOUN
cet-3921	23	23	of	of	ADP
cet-3921	23	24	health	health	NOUN
cet-3921	23	25	care	care	NOUN
cet-3921	23	26	centre	centre	NOUN
cet-3921	23	27	.	.	PUNCT
cet-3921	24	1	doi	doi	NOUN
cet-3921	24	2	:	:	PUNCT
cet-3921	24	3	10.3303	10.3303	NUM
cet-3921	24	4	/	/	SYM
cet-3921	24	5	cet1651057	cet1651057	NOUN
cet-3921	24	6	please	please	INTJ
cet-3921	24	7	cite	cite	VERB
cet-3921	24	8	this	this	DET
cet-3921	24	9	article	article	NOUN
cet-3921	24	10	as	as	ADP
cet-3921	24	11	:	:	PUNCT
cet-3921	24	12	liu	liu	PROPN
cet-3921	24	13	j.f	j.f	PROPN
cet-3921	24	14	.	.	PROPN
cet-3921	24	15	,	,	PUNCT
cet-3921	24	16	wang	wang	PROPN
cet-3921	24	17	q.m	q.m	PROPN
cet-3921	24	18	.	.	PROPN
cet-3921	24	19	,	,	PUNCT
cet-3921	24	20	2016	2016	NUM
cet-3921	24	21	,	,	PUNCT
cet-3921	24	22	application	application	NOUN
cet-3921	24	23	of	of	ADP
cet-3921	24	24	an	an	DET
cet-3921	24	25	improved	improve	VERB
cet-3921	24	26	svm	svm	ADJ
cet-3921	24	27	algorithm	algorithm	NOUN
cet-3921	24	28	for	for	ADP
cet-3921	24	29	wireless	wireless	ADJ
cet-3921	24	30	sensor	sensor	NOUN
cet-3921	24	31	networks	network	NOUN
cet-3921	24	32	in	in	ADP
cet-3921	24	33	the	the	DET
cet-3921	24	34	prediction	prediction	NOUN
cet-3921	24	35	of	of	ADP
cet-3921	24	36	air	air	NOUN
cet-3921	24	37	pollution	pollution	NOUN
cet-3921	24	38	,	,	PUNCT
cet-3921	24	39	chemical	chemical	NOUN
cet-3921	24	40	engineering	engineering	NOUN
cet-3921	24	41	transactions	transaction	NOUN
cet-3921	24	42	,	,	PUNCT
cet-3921	24	43	51	51	NUM
cet-3921	24	44	,	,	PUNCT
cet-3921	24	45	337	337	NUM
cet-3921	24	46	-	-	SYM
cet-3921	24	47	342	342	NUM
cet-3921	24	48	doi:10.3303	doi:10.3303	NOUN
cet-3921	24	49	/	/	PUNCT
cet-3921	24	50	cet1651057	cet1651057	NOUN
cet-3921	24	51	337	337	NUM
cet-3921	24	52	2	2	NUM
cet-3921	24	53	.	.	PUNCT
cet-3921	24	54	architecture	architecture	NOUN
cet-3921	24	55	and	and	CCONJ
cet-3921	24	56	basic	basic	ADJ
cet-3921	24	57	knowledge	knowledge	NOUN
cet-3921	24	58	of	of	ADP
cet-3921	24	59	wireless	wireless	ADJ
cet-3921	24	60	sensor	sensor	NOUN
cet-3921	24	61	networks	network	NOUN
cet-3921	24	62	wireless	wireless	ADJ
cet-3921	24	63	sensor	sensor	NOUN
cet-3921	24	64	network	network	NOUN
cet-3921	24	65	consists	consist	VERB
cet-3921	24	66	of	of	ADP
cet-3921	24	67	a	a	DET
cet-3921	24	68	large	large	ADJ
cet-3921	24	69	number	number	NOUN
cet-3921	24	70	of	of	ADP
cet-3921	24	71	sensor	sensor	NOUN
cet-3921	24	72	nodes	node	NOUN
cet-3921	24	73	,	,	PUNCT
cet-3921	24	74	and	and	CCONJ
cet-3921	24	75	the	the	DET
cet-3921	24	76	network	network	NOUN
cet-3921	24	77	structure	structure	NOUN
cet-3921	24	78	is	be	AUX
cet-3921	24	79	shown	show	VERB
cet-3921	24	80	in	in	ADP
cet-3921	24	81	figure	figure	NOUN
cet-3921	24	82	1	1	NUM
cet-3921	24	83	.	.	PUNCT
cet-3921	25	1	they	they	PRON
cet-3921	25	2	do	do	AUX
cet-3921	25	3	not	not	PART
cet-3921	25	4	need	need	VERB
cet-3921	25	5	to	to	PART
cet-3921	25	6	be	be	AUX
cet-3921	25	7	processed	process	VERB
cet-3921	25	8	or	or	CCONJ
cet-3921	25	9	pre	pre	ADJ
cet-3921	25	10	positioned	position	VERB
cet-3921	25	11	,	,	PUNCT
cet-3921	25	12	and	and	CCONJ
cet-3921	25	13	can	can	AUX
cet-3921	25	14	be	be	AUX
cet-3921	25	15	densely	densely	ADV
cet-3921	25	16	scattered	scatter	VERB
cet-3921	25	17	in	in	ADP
cet-3921	25	18	the	the	DET
cet-3921	25	19	monitored	monitored	ADJ
cet-3921	25	20	area	area	NOUN
cet-3921	25	21	.	.	PUNCT
cet-3921	26	1	therefore	therefore	ADV
cet-3921	26	2	,	,	PUNCT
cet-3921	26	3	it	it	PRON
cet-3921	26	4	is	be	AUX
cet-3921	26	5	required	require	VERB
cet-3921	26	6	that	that	SCONJ
cet-3921	26	7	the	the	DET
cet-3921	26	8	sensor	sensor	NOUN
cet-3921	26	9	nodes	node	NOUN
cet-3921	26	10	should	should	AUX
cet-3921	26	11	have	have	VERB
cet-3921	26	12	the	the	DET
cet-3921	26	13	characteristics	characteristic	NOUN
cet-3921	26	14	of	of	ADP
cet-3921	26	15	self	self	NOUN
cet-3921	26	16	organizing	organize	VERB
cet-3921	26	17	.	.	PUNCT
cet-3921	27	1	figure	figure	NOUN
cet-3921	27	2	1	1	NUM
cet-3921	27	3	:	:	PUNCT
cet-3921	28	1	the	the	DET
cet-3921	28	2	wireless	wireless	ADJ
cet-3921	28	3	sensor	sensor	NOUN
cet-3921	28	4	network	network	NOUN
cet-3921	28	5	node	node	NOUN
cet-3921	28	6	is	be	AUX
cet-3921	28	7	the	the	DET
cet-3921	28	8	basic	basic	ADJ
cet-3921	28	9	unit	unit	NOUN
cet-3921	28	10	of	of	ADP
cet-3921	28	11	wireless	wireless	ADJ
cet-3921	28	12	sensor	sensor	NOUN
cet-3921	28	13	network	network	NOUN
cet-3921	28	14	,	,	PUNCT
cet-3921	28	15	wireless	wireless	ADJ
cet-3921	28	16	sensor	sensor	NOUN
cet-3921	28	17	network	network	NOUN
cet-3921	28	18	consists	consist	VERB
cet-3921	28	19	of	of	ADP
cet-3921	28	20	a	a	DET
cet-3921	28	21	large	large	ADJ
cet-3921	28	22	number	number	NOUN
cet-3921	28	23	of	of	ADP
cet-3921	28	24	small	small	ADJ
cet-3921	28	25	and	and	CCONJ
cet-3921	28	26	low	low	ADJ
cet-3921	28	27	cost	cost	NOUN
cet-3921	28	28	sensor	sensor	NOUN
cet-3921	28	29	nodes	node	NOUN
cet-3921	28	30	that	that	PRON
cet-3921	28	31	have	have	VERB
cet-3921	28	32	the	the	DET
cet-3921	28	33	function	function	NOUN
cet-3921	28	34	with	with	ADP
cet-3921	28	35	wireless	wireless	ADJ
cet-3921	28	36	communication	communication	NOUN
cet-3921	28	37	and	and	CCONJ
cet-3921	28	38	sensor	sensor	NOUN
cet-3921	28	39	data	datum	NOUN
cet-3921	28	40	processing	processing	NOUN
cet-3921	28	41	.	.	PUNCT
cet-3921	29	1	wireless	wireless	ADJ
cet-3921	29	2	sensor	sensor	NOUN
cet-3921	29	3	node	node	NOUN
cet-3921	29	4	is	be	AUX
cet-3921	29	5	responsible	responsible	ADJ
cet-3921	29	6	for	for	ADP
cet-3921	29	7	information	information	NOUN
cet-3921	29	8	collection	collection	NOUN
cet-3921	29	9	and	and	CCONJ
cet-3921	29	10	pre	pre	NOUN
cet-3921	29	11	-	-	NOUN
cet-3921	29	12	treatment	treatment	NOUN
cet-3921	29	13	,	,	PUNCT
cet-3921	29	14	and	and	CCONJ
cet-3921	29	15	is	be	AUX
cet-3921	29	16	generally	generally	ADV
cet-3921	29	17	composed	compose	VERB
cet-3921	29	18	of	of	ADP
cet-3921	29	19	the	the	DET
cet-3921	29	20	sensor	sensor	NOUN
cet-3921	29	21	unit	unit	NOUN
cet-3921	29	22	,	,	PUNCT
cet-3921	29	23	processing	processing	NOUN
cet-3921	29	24	unit	unit	NOUN
cet-3921	29	25	,	,	PUNCT
cet-3921	29	26	wireless	wireless	ADJ
cet-3921	29	27	transceiver	transceiver	NOUN
cet-3921	29	28	unit	unit	NOUN
cet-3921	29	29	and	and	CCONJ
cet-3921	29	30	power	power	NOUN
cet-3921	29	31	management	management	NOUN
cet-3921	29	32	unit	unit	NOUN
cet-3921	29	33	.	.	PUNCT
cet-3921	30	1	its	its	PRON
cet-3921	30	2	structure	structure	NOUN
cet-3921	30	3	as	as	SCONJ
cet-3921	30	4	shown	show	VERB
cet-3921	30	5	in	in	ADP
cet-3921	30	6	figure	figure	NOUN
cet-3921	30	7	2	2	NUM
cet-3921	30	8	.	.	PUNCT
cet-3921	30	9	sensing	sense	VERB
cet-3921	30	10	module	module	NOUN
cet-3921	30	11	data	datum	NOUN
cet-3921	30	12	processing	processing	NOUN
cet-3921	30	13	module	module	NOUN
cet-3921	30	14	data	datum	NOUN
cet-3921	30	15	transceiver	transceiver	NOUN
cet-3921	30	16	module	module	NOUN
cet-3921	30	17	power	power	NOUN
cet-3921	30	18	management	management	NOUN
cet-3921	30	19	module	module	NOUN
cet-3921	30	20	external	external	ADJ
cet-3921	30	21	interface	interface	NOUN
cet-3921	30	22	figure	figure	NOUN
cet-3921	30	23	2	2	NUM
cet-3921	30	24	:	:	PUNCT
cet-3921	30	25	sensor	sensor	VERB
cet-3921	30	26	node	node	ADJ
cet-3921	30	27	hardware	hardware	NOUN
cet-3921	30	28	structure	structure	NOUN
cet-3921	30	29	1	1	NUM
cet-3921	30	30	.	.	PUNCT
cet-3921	31	1	the	the	DET
cet-3921	31	2	sensing	sense	VERB
cet-3921	31	3	unit	unit	NOUN
cet-3921	31	4	is	be	AUX
cet-3921	31	5	responsible	responsible	ADJ
cet-3921	31	6	for	for	ADP
cet-3921	31	7	collecting	collect	VERB
cet-3921	31	8	the	the	DET
cet-3921	31	9	information	information	NOUN
cet-3921	31	10	in	in	ADP
cet-3921	31	11	the	the	DET
cet-3921	31	12	monitoring	monitoring	NOUN
cet-3921	31	13	area	area	NOUN
cet-3921	31	14	and	and	CCONJ
cet-3921	31	15	converting	convert	VERB
cet-3921	31	16	it	it	PRON
cet-3921	31	17	to	to	ADP
cet-3921	31	18	digital	digital	ADJ
cet-3921	31	19	signal	signal	NOUN
cet-3921	31	20	.	.	PUNCT
cet-3921	32	1	this	this	DET
cet-3921	32	2	paper	paper	NOUN
cet-3921	32	3	selects	select	VERB
cet-3921	32	4	various	various	ADJ
cet-3921	32	5	air	air	NOUN
cet-3921	32	6	quality	quality	NOUN
cet-3921	32	7	monitoring	monitoring	NOUN
cet-3921	32	8	sensors	sensor	NOUN
cet-3921	32	9	,	,	PUNCT
cet-3921	32	10	such	such	ADJ
cet-3921	32	11	as	as	ADP
cet-3921	32	12	semiconductor	semiconductor	NOUN
cet-3921	32	13	air	air	NOUN
cet-3921	32	14	quality	quality	NOUN
cet-3921	32	15	sensor	sensor	NOUN
cet-3921	32	16	(	(	PUNCT
cet-3921	32	17	tgs2600	tgs2600	PROPN
cet-3921	32	18	/	/	SYM
cet-3921	32	19	tgs260	tgs260	NOUN
cet-3921	32	20	)	)	PUNCT
cet-3921	32	21	,	,	PUNCT
cet-3921	32	22	dust	dust	NOUN
cet-3921	32	23	sensor	sensor	NOUN
cet-3921	32	24	,	,	PUNCT
cet-3921	32	25	carbon	carbon	NOUN
cet-3921	32	26	monoxide	monoxide	NOUN
cet-3921	32	27	sensor	sensor	NOUN
cet-3921	32	28	(	(	PUNCT
cet-3921	32	29	co	co	NOUN
cet-3921	32	30	-	-	NOUN
cet-3921	32	31	bf	bf	NOUN
cet-3921	32	32	)	)	PUNCT
cet-3921	32	33	,	,	PUNCT
cet-3921	32	34	electrochemical	electrochemical	ADJ
cet-3921	32	35	sulphur	sulphur	NOUN
cet-3921	32	36	dioxide	dioxide	NOUN
cet-3921	32	37	sensor	sensor	NOUN
cet-3921	32	38	(	(	PUNCT
cet-3921	32	39	so2	so2	NOUN
cet-3921	32	40	-	-	PUNCT
cet-3921	32	41	a	a	NOUN
cet-3921	32	42	)	)	PUNCT
cet-3921	32	43	,	,	PUNCT
cet-3921	32	44	and	and	CCONJ
cet-3921	32	45	electrochemical	electrochemical	ADJ
cet-3921	32	46	no2	no2	NOUN
cet-3921	32	47	gas	gas	NOUN
cet-3921	32	48	sensor	sensor	NOUN
cet-3921	32	49	(	(	PUNCT
cet-3921	32	50	no2	no2	NOUN
cet-3921	32	51	-	-	PUNCT
cet-3921	32	52	a1	a1	NOUN
cet-3921	32	53	)	)	PUNCT
cet-3921	32	54	etc	etc	X
cet-3921	32	55	..	..	X
cet-3921	33	1	2	2	X
cet-3921	33	2	.	.	X
cet-3921	33	3	the	the	DET
cet-3921	33	4	processing	processing	NOUN
cet-3921	33	5	unit	unit	NOUN
cet-3921	33	6	is	be	AUX
cet-3921	33	7	composed	compose	VERB
cet-3921	33	8	of	of	ADP
cet-3921	33	9	a	a	DET
cet-3921	33	10	processor	processor	NOUN
cet-3921	33	11	and	and	CCONJ
cet-3921	33	12	a	a	DET
cet-3921	33	13	memory	memory	NOUN
cet-3921	33	14	,	,	PUNCT
cet-3921	33	15	which	which	PRON
cet-3921	33	16	stores	store	NOUN
cet-3921	33	17	and	and	CCONJ
cet-3921	33	18	processes	process	VERB
cet-3921	33	19	the	the	DET
cet-3921	33	20	data	datum	NOUN
cet-3921	33	21	collected	collect	VERB
cet-3921	33	22	by	by	ADP
cet-3921	33	23	the	the	DET
cet-3921	33	24	sensor	sensor	NOUN
cet-3921	33	25	.	.	PUNCT
cet-3921	34	1	this	this	DET
cet-3921	34	2	paper	paper	NOUN
cet-3921	34	3	uses	use	VERB
cet-3921	34	4	the	the	DET
cet-3921	34	5	avr	avr	PROPN
cet-3921	34	6	series	series	PROPN
cet-3921	34	7	microcontroller	microcontroller	PROPN
cet-3921	34	8	,	,	PUNCT
cet-3921	34	9	which	which	PRON
cet-3921	34	10	uses	use	VERB
cet-3921	34	11	the	the	DET
cet-3921	34	12	risc	risc	PROPN
cet-3921	34	13	structure	structure	NOUN
cet-3921	34	14	,	,	PUNCT
cet-3921	34	15	drawing	draw	VERB
cet-3921	34	16	the	the	DET
cet-3921	34	17	advantages	advantage	NOUN
cet-3921	34	18	of	of	ADP
cet-3921	34	19	pic	pic	NOUN
cet-3921	34	20	and	and	CCONJ
cet-3921	34	21	8051	8051	NUM
cet-3921	34	22	mcu	mcu	NOUN
cet-3921	34	23	,	,	PUNCT
cet-3921	34	24	and	and	CCONJ
cet-3921	34	25	has	have	VERB
cet-3921	34	26	a	a	DET
cet-3921	34	27	wealth	wealth	NOUN
cet-3921	34	28	of	of	ADP
cet-3921	34	29	internal	internal	ADJ
cet-3921	34	30	resources	resource	NOUN
cet-3921	34	31	and	and	CCONJ
cet-3921	34	32	external	external	ADJ
cet-3921	34	33	interface	interface	NOUN
cet-3921	34	34	.	.	PUNCT
cet-3921	35	1	in	in	ADP
cet-3921	35	2	the	the	DET
cet-3921	35	3	aspect	aspect	NOUN
cet-3921	35	4	of	of	ADP
cet-3921	35	5	integration	integration	NOUN
cet-3921	35	6	,	,	PUNCT
cet-3921	35	7	almost	almost	ADV
cet-3921	35	8	all	all	DET
cet-3921	35	9	the	the	DET
cet-3921	35	10	key	key	ADJ
cet-3921	35	11	components	component	NOUN
cet-3921	35	12	are	be	AUX
cet-3921	35	13	integrated	integrate	VERB
cet-3921	35	14	in	in	ADP
cet-3921	35	15	the	the	DET
cet-3921	35	16	interior	interior	NOUN
cet-3921	35	17	.	.	PUNCT
cet-3921	36	1	3	3	X
cet-3921	36	2	.	.	X
cet-3921	36	3	an	an	DET
cet-3921	36	4	improved	improve	VERB
cet-3921	36	5	svm	svm	ADJ
cet-3921	36	6	algorithm	algorithm	NOUN
cet-3921	36	7	in	in	ADP
cet-3921	36	8	wsn	wsn	PROPN
cet-3921	36	9	3.1	3.1	NUM
cet-3921	36	10	basic	basic	ADJ
cet-3921	36	11	knowledge	knowledge	NOUN
cet-3921	36	12	of	of	ADP
cet-3921	36	13	support	support	NOUN
cet-3921	36	14	vector	vector	NOUN
cet-3921	36	15	machines	machine	NOUN
cet-3921	36	16	for	for	ADP
cet-3921	36	17	the	the	DET
cet-3921	36	18	meteorological	meteorological	ADJ
cet-3921	36	19	data	datum	NOUN
cet-3921	36	20	collected	collect	VERB
cet-3921	36	21	by	by	ADP
cet-3921	36	22	wireless	wireless	ADJ
cet-3921	36	23	sensor	sensor	NOUN
cet-3921	36	24	which	which	PRON
cet-3921	36	25	is	be	AUX
cet-3921	36	26	introduced	introduce	VERB
cet-3921	36	27	in	in	ADP
cet-3921	36	28	section	section	NOUN
cet-3921	36	29	2	2	NUM
cet-3921	36	30	,	,	PUNCT
cet-3921	36	31	we	we	PRON
cet-3921	36	32	use	use	VERB
cet-3921	36	33	an	an	DET
cet-3921	36	34	improved	improved	ADJ
cet-3921	36	35	support	support	NOUN
cet-3921	36	36	vector	vector	NOUN
cet-3921	36	37	machine	machine	NOUN
cet-3921	36	38	model	model	NOUN
cet-3921	36	39	for	for	ADP
cet-3921	36	40	processing	processing	NOUN
cet-3921	36	41	,	,	PUNCT
cet-3921	36	42	so	so	SCONJ
cet-3921	36	43	as	as	SCONJ
cet-3921	36	44	to	to	PART
cet-3921	36	45	predict	predict	VERB
cet-3921	36	46	the	the	DET
cet-3921	36	47	concentration	concentration	NOUN
cet-3921	36	48	of	of	ADP
cet-3921	36	49	air	air	NOUN
cet-3921	36	50	pollutants	pollutant	NOUN
cet-3921	36	51	.	.	PUNCT
cet-3921	37	1	next	next	ADV
cet-3921	37	2	,	,	PUNCT
cet-3921	37	3	we	we	PRON
cet-3921	37	4	will	will	AUX
cet-3921	37	5	introduce	introduce	VERB
cet-3921	37	6	the	the	DET
cet-3921	37	7	basic	basic	ADJ
cet-3921	37	8	knowledge	knowledge	NOUN
cet-3921	37	9	of	of	ADP
cet-3921	37	10	support	support	NOUN
cet-3921	37	11	vector	vector	NOUN
cet-3921	37	12	machines	machine	NOUN
cet-3921	37	13	.	.	PUNCT
cet-3921	38	1	in	in	ADP
cet-3921	38	2	essence	essence	NOUN
cet-3921	38	3	,	,	PUNCT
cet-3921	38	4	the	the	DET
cet-3921	38	5	support	support	NOUN
cet-3921	38	6	vector	vector	NOUN
cet-3921	38	7	machine	machine	NOUN
cet-3921	38	8	method	method	NOUN
cet-3921	38	9	is	be	AUX
cet-3921	38	10	a	a	DET
cet-3921	38	11	machine	machine	NOUN
cet-3921	38	12	learning	learning	NOUN
cet-3921	38	13	method	method	NOUN
cet-3921	38	14	.	.	PUNCT
cet-3921	39	1	the	the	DET
cet-3921	39	2	learning	learning	NOUN
cet-3921	39	3	problem	problem	NOUN
cet-3921	39	4	can	can	AUX
cet-3921	39	5	be	be	AUX
cet-3921	39	6	briefly	briefly	ADV
cet-3921	39	7	summarized	summarize	VERB
cet-3921	39	8	as	as	SCONJ
cet-3921	39	9	follows	follow	VERB
cet-3921	39	10	:	:	PUNCT
cet-3921	39	11	for	for	ADP
cet-3921	39	12	a	a	DET
cet-3921	39	13	given	give	VERB
cet-3921	39	14	data	datum	NOUN
cet-3921	39	15	set	set	VERB
cet-3921	39	16			PROPN
cet-3921	39	17	1	1	NOUN
cet-3921	39	18	1	1	NUM
cet-3921	39	19	2	2	NUM
cet-3921	39	20	2	2	NUM
cet-3921	39	21	(	(	PUNCT
cet-3921	39	22	,	,	PUNCT
cet-3921	39	23	)	)	PUNCT
cet-3921	39	24	,	,	PUNCT
cet-3921	39	25	(	(	PUNCT
cet-3921	39	26	,	,	PUNCT
cet-3921	39	27	)	)	PUNCT
cet-3921	39	28	,	,	PUNCT
cet-3921	39	29	,	,	PUNCT
cet-3921	39	30	(	(	PUNCT
cet-3921	39	31	,	,	PUNCT
cet-3921	39	32	)	)	PUNCT
cet-3921	39	33	n	n	CCONJ
cet-3921	39	34	nt	not	PART
cet-3921	39	35	x	x	PROPN
cet-3921	39	36	y	y	NOUN
cet-3921	39	37	x	x	PUNCT
cet-3921	39	38	y	y	NOUN
cet-3921	39	39	x	x	PROPN
cet-3921	39	40	y	y	NOUN
cet-3921	39	41	,	,	PUNCT
cet-3921	39	42	we	we	PRON
cet-3921	39	43	get	get	VERB
cet-3921	39	44	a	a	DET
cet-3921	39	45	function	function	NOUN
cet-3921	39	46	on	on	ADP
cet-3921	39	47	the	the	DET
cet-3921	39	48	real	real	ADJ
cet-3921	39	49	space	space	NOUN
cet-3921	39	50	f(x	f(x	PROPN
cet-3921	39	51	,	,	PUNCT
cet-3921	39	52	a	a	PRON
cet-3921	39	53	)	)	PUNCT
cet-3921	39	54	,	,	PUNCT
cet-3921	39	55	which	which	PRON
cet-3921	39	56	makes	make	VERB
cet-3921	39	57	the	the	DET
cet-3921	39	58	relationship	relationship	NOUN
cet-3921	39	59	(	(	PUNCT
cet-3921	39	60	,	,	PUNCT
cet-3921	39	61	)	)	PUNCT
cet-3921	40	1	x	x	SYM
cet-3921	40	2	y	y	PROPN
cet-3921	40	3	in	in	ADP
cet-3921	40	4	data	datum	NOUN
cet-3921	40	5	set	set	VERB
cet-3921	40	6	t	t	PROPN
cet-3921	40	7	.	.	PUNCT
cet-3921	41	1	the	the	DET
cet-3921	41	2	f(x	f(x	PROPN
cet-3921	41	3	,	,	PUNCT
cet-3921	41	4	a	a	PRON
cet-3921	41	5	)	)	PUNCT
cet-3921	41	6	which	which	PRON
cet-3921	41	7	is	be	AUX
cet-3921	41	8	the	the	DET
cet-3921	41	9	most	most	ADV
cet-3921	41	10	consistent	consistent	ADJ
cet-3921	41	11	with	with	ADP
cet-3921	41	12	the	the	DET
cet-3921	41	13	actual	actual	ADJ
cet-3921	41	14	situation	situation	NOUN
cet-3921	41	15	is	be	AUX
cet-3921	41	16	used	use	VERB
cet-3921	41	17	as	as	ADP
cet-3921	41	18	a	a	DET
cet-3921	41	19	support	support	NOUN
cet-3921	41	20	vector	vector	NOUN
cet-3921	41	21	machine	machine	NOUN
cet-3921	41	22	learning	learn	VERB
cet-3921	41	23	goal	goal	NOUN
cet-3921	41	24	.	.	PUNCT
cet-3921	42	1	the	the	DET
cet-3921	42	2	optimization	optimization	NOUN
cet-3921	42	3	problem	problem	NOUN
cet-3921	42	4	of	of	ADP
cet-3921	42	5	lssvr	lssvr	PROPN
cet-3921	42	6	is	be	AUX
cet-3921	42	7	as	as	SCONJ
cet-3921	42	8	follows	follow	VERB
cet-3921	42	9	:	:	PUNCT
cet-3921	42	10	(	(	PUNCT
cet-3921	42	11	)	)	PUNCT
cet-3921	42	12	(	(	PUNCT
cet-3921	42	13	)	)	PUNCT
cet-3921	42	14	tf	tf	X
cet-3921	42	15	x	x	PUNCT
cet-3921	42	16	x	x	X
cet-3921	42	17	b	b	PROPN
cet-3921	42	18			PROPN
cet-3921	42	19			PROPN
cet-3921	42	20	(	(	PUNCT
cet-3921	42	21	1	1	X
cet-3921	42	22	)	)	PUNCT
cet-3921	42	23	in	in	ADP
cet-3921	42	24	formula	formula	NOUN
cet-3921	42	25	(	(	PUNCT
cet-3921	42	26	1	1	NUM
cet-3921	42	27	)	)	PUNCT
cet-3921	42	28	,	,	PUNCT
cet-3921	42	29	(	(	PUNCT
cet-3921	42	30	)	)	PUNCT
cet-3921	42	31	x	x	X
cet-3921	42	32	is	be	AUX
cet-3921	42	33	a	a	DET
cet-3921	42	34	nonlinear	nonlinear	ADJ
cet-3921	42	35	transformation	transformation	NOUN
cet-3921	42	36	function	function	NOUN
cet-3921	42	37	,	,	PUNCT
cet-3921	42	38			X
cet-3921	42	39	is	be	AUX
cet-3921	42	40	the	the	DET
cet-3921	42	41	linear	linear	ADJ
cet-3921	42	42	regression	regression	NOUN
cet-3921	42	43	coefficient	coefficient	NOUN
cet-3921	42	44	,	,	PUNCT
cet-3921	42	45	and	and	CCONJ
cet-3921	42	46	b	b	X
cet-3921	42	47	is	be	AUX
cet-3921	42	48	the	the	DET
cet-3921	42	49	deviation	deviation	NOUN
cet-3921	42	50	.	.	PUNCT
cet-3921	43	1	at	at	ADP
cet-3921	43	2	this	this	DET
cet-3921	43	3	point	point	NOUN
cet-3921	43	4	,	,	PUNCT
cet-3921	43	5	the	the	DET
cet-3921	43	6	optimization	optimization	NOUN
cet-3921	43	7	problem	problem	NOUN
cet-3921	43	8	is	be	AUX
cet-3921	43	9	transformed	transform	VERB
cet-3921	43	10	into	into	ADP
cet-3921	43	11	the	the	DET
cet-3921	43	12	following	follow	VERB
cet-3921	43	13	form	form	NOUN
cet-3921	43	14	:	:	PUNCT
cet-3921	43	15	338	338	NUM
cet-3921	43	16	2	2	NUM
cet-3921	43	17	1	1	NUM
cet-3921	43	18	1	1	NUM
cet-3921	43	19	min	min	NOUN
cet-3921	43	20	(	(	PUNCT
cet-3921	43	21	(	(	PUNCT
cet-3921	43	22	)	)	PUNCT
cet-3921	43	23	)	)	PUNCT
cet-3921	43	24	2	2	NUM
cet-3921	43	25	.	.	PUNCT
cet-3921	43	26	.	.	PUNCT
cet-3921	44	1	(	(	PUNCT
cet-3921	44	2	)	)	PUNCT
cet-3921	44	3	n	n	ADP
cet-3921	44	4	t	t	NOUN
cet-3921	45	1	i	i	PRON
cet-3921	46	1	i	i	PRON
cet-3921	46	2	t	t	VERB
cet-3921	47	1	i	i	PRON
cet-3921	47	2	is	be	AUX
cet-3921	47	3	t	t	PROPN
cet-3921	47	4	y	y	PROPN
cet-3921	47	5	x	x	SYM
cet-3921	47	6	b	b	X
cet-3921	47	7			X
cet-3921	47	8			X
cet-3921	47	9			NUM
cet-3921	47	10			NOUN
cet-3921	47	11			DET
cet-3921	47	12			ADJ
cet-3921	47	13			NOUN
cet-3921	47	14			NUM
cet-3921	47	15			NOUN
cet-3921	47	16			NOUN
cet-3921	48	1			NUM
cet-3921	48	2			NUM
cet-3921	48	3			NOUN
cet-3921	48	4			PUNCT
cet-3921	48	5			ADJ
cet-3921	48	6			X
cet-3921	48	7	,	,	PUNCT
cet-3921	48	8	1,2	1,2	NUM
cet-3921	48	9	,	,	PUNCT
cet-3921	48	10	,	,	PUNCT
cet-3921	48	11	i	i	PRON
cet-3921	48	12	n	n	PROPN
cet-3921	48	13	(	(	PUNCT
cet-3921	48	14	2	2	NUM
cet-3921	48	15	)	)	PUNCT
cet-3921	48	16	in	in	ADP
cet-3921	48	17	formula	formula	NOUN
cet-3921	48	18	(	(	PUNCT
cet-3921	48	19	2	2	NUM
cet-3921	48	20	)	)	PUNCT
cet-3921	48	21	,	,	PUNCT
cet-3921	48	22			PROPN
cet-3921	48	23	is	be	AUX
cet-3921	48	24	the	the	DET
cet-3921	48	25	regularization	regularization	NOUN
cet-3921	48	26	parameter	parameter	NOUN
cet-3921	48	27	;	;	PUNCT
cet-3921	48	28	i	i	PROPN
cet-3921	48	29	is	be	AUX
cet-3921	48	30	the	the	DET
cet-3921	48	31	regression	regression	NOUN
cet-3921	48	32	error	error	NOUN
cet-3921	48	33	of	of	ADP
cet-3921	48	34	sample	sample	NOUN
cet-3921	48	35	.	.	PUNCT
cet-3921	49	1	in	in	ADP
cet-3921	49	2	order	order	NOUN
cet-3921	49	3	to	to	PART
cet-3921	49	4	eliminate	eliminate	VERB
cet-3921	49	5	the	the	DET
cet-3921	49	6	constraint	constraint	NOUN
cet-3921	49	7	,	,	PUNCT
cet-3921	49	8	the	the	DET
cet-3921	49	9	formula	formula	NOUN
cet-3921	49	10	(	(	PUNCT
cet-3921	49	11	2	2	X
cet-3921	49	12	)	)	PUNCT
cet-3921	49	13	is	be	AUX
cet-3921	49	14	solved	solve	VERB
cet-3921	49	15	by	by	ADP
cet-3921	49	16	using	use	VERB
cet-3921	49	17	the	the	DET
cet-3921	49	18	lagrange	lagrange	NOUN
cet-3921	49	19	function	function	NOUN
cet-3921	49	20	.	.	PUNCT
cet-3921	50	1	2	2	NUM
cet-3921	50	2	1	1	NUM
cet-3921	50	3	1	1	NUM
cet-3921	50	4	1	1	NUM
cet-3921	50	5	(	(	PUNCT
cet-3921	50	6	,	,	PUNCT
cet-3921	50	7	,	,	PUNCT
cet-3921	50	8	,	,	PUNCT
cet-3921	50	9	)	)	PUNCT
cet-3921	50	10	(	(	PUNCT
cet-3921	50	11	)	)	PUNCT
cet-3921	50	12	[	[	PUNCT
cet-3921	50	13	(	(	PUNCT
cet-3921	50	14	)	)	PUNCT
cet-3921	50	15	]	]	PUNCT
cet-3921	50	16	2	2	NUM
cet-3921	50	17	n	n	SYM
cet-3921	50	18	n	n	NOUN
cet-3921	50	19	t	t	NOUN
cet-3921	50	20	t	t	NOUN
cet-3921	51	1	i	i	PRON
cet-3921	51	2	i	i	PRON
cet-3921	52	1	i	i	PRON
cet-3921	52	2	i	i	PRON
cet-3921	53	1	i	i	PRON
cet-3921	54	1	i	i	VERB
cet-3921	54	2	l	l	PROPN
cet-3921	55	1	b	b	NOUN
cet-3921	55	2	a	a	PRON
cet-3921	55	3	a	a	PRON
cet-3921	55	4	x	x	SYM
cet-3921	55	5	b	b	NOUN
cet-3921	55	6	y	y	NOUN
cet-3921	55	7			NOUN
cet-3921	55	8			X
cet-3921	55	9			X
cet-3921	55	10			NUM
cet-3921	55	11			NOUN
cet-3921	55	12			DET
cet-3921	55	13			ADJ
cet-3921	55	14			NOUN
cet-3921	55	15			NUM
cet-3921	55	16			NUM
cet-3921	55	17			PROPN
cet-3921	55	18			ADV
cet-3921	55	19			PROPN
cet-3921	55	20			ADV
cet-3921	55	21			PUNCT
cet-3921	55	22			X
cet-3921	55	23			X
cet-3921	55	24	(	(	PUNCT
cet-3921	55	25	3	3	NUM
cet-3921	55	26	)	)	PUNCT
cet-3921	55	27	in	in	ADP
cet-3921	55	28	formula	formula	NOUN
cet-3921	55	29	(	(	PUNCT
cet-3921	55	30	3	3	NUM
cet-3921	55	31	)	)	PUNCT
cet-3921	55	32	,	,	PUNCT
cet-3921	55	33	ia	ia	PROPN
cet-3921	55	34	is	be	AUX
cet-3921	55	35	a	a	DET
cet-3921	55	36	lagrange	lagrange	NOUN
cet-3921	55	37	multiplier	multiplier	ADV
cet-3921	55	38	.	.	PUNCT
cet-3921	56	1	according	accord	VERB
cet-3921	56	2	to	to	ADP
cet-3921	56	3	kkt	kkt	PROPN
cet-3921	56	4	conditions	condition	NOUN
cet-3921	56	5	,	,	PUNCT
cet-3921	56	6	we	we	PRON
cet-3921	56	7	can	can	AUX
cet-3921	56	8	calculate	calculate	VERB
cet-3921	56	9	the	the	DET
cet-3921	56	10	partial	partial	ADJ
cet-3921	56	11	derivative	derivative	NOUN
cet-3921	56	12	of	of	ADP
cet-3921	56	13	,	,	PUNCT
cet-3921	56	14	,	,	PUNCT
cet-3921	56	15	,	,	PUNCT
cet-3921	56	16	b	b	X
cet-3921	56	17	a	a	ADV
cet-3921	56	18			NOUN
cet-3921	56	19	,	,	PUNCT
cet-3921	56	20	and	and	CCONJ
cet-3921	56	21	make	make	VERB
cet-3921	56	22	them	they	PRON
cet-3921	56	23	equal	equal	ADJ
cet-3921	56	24	to	to	ADP
cet-3921	56	25	0	0	NUM
cet-3921	56	26	.	.	PUNCT
cet-3921	57	1	so	so	ADV
cet-3921	57	2	,	,	PUNCT
cet-3921	57	3	we	we	PRON
cet-3921	57	4	can	can	AUX
cet-3921	57	5	get	get	VERB
cet-3921	57	6	the	the	DET
cet-3921	57	7	formula	formula	NOUN
cet-3921	57	8	(	(	PUNCT
cet-3921	57	9	4	4	NUM
cet-3921	57	10	)	)	PUNCT
cet-3921	57	11	.	.	PUNCT
cet-3921	58	1	1	1	NUM
cet-3921	58	2	1	1	NUM
cet-3921	58	3	(	(	PUNCT
cet-3921	58	4	)	)	PUNCT
cet-3921	58	5	0	0	NUM
cet-3921	58	6	(	(	PUNCT
cet-3921	58	7	)	)	PUNCT
cet-3921	58	8	0	0	NUM
cet-3921	59	1	n	n	CCONJ
cet-3921	59	2	i	i	PRON
cet-3921	60	1	i	i	PRON
cet-3921	60	2	n	n	VERB
cet-3921	61	1	i	i	PRON
cet-3921	62	1	i	i	PRON
cet-3921	63	1	i	i	PRON
cet-3921	64	1	i	i	PRON
cet-3921	64	2	t	t	VERB
cet-3921	65	1	i	i	PRON
cet-3921	65	2	i	i	PRON
cet-3921	65	3	a	a	X
cet-3921	65	4	x	x	X
cet-3921	65	5	a	a	DET
cet-3921	65	6	a	a	DET
cet-3921	65	7	x	x	X
cet-3921	65	8	b	b	PROPN
cet-3921	65	9	y	y	PROPN
cet-3921	65	10			PROPN
cet-3921	65	11			PROPN
cet-3921	65	12			PROPN
cet-3921	65	13			ADJ
cet-3921	65	14			PROPN
cet-3921	65	15			NOUN
cet-3921	65	16			NUM
cet-3921	65	17			NOUN
cet-3921	65	18			NOUN
cet-3921	65	19			NOUN
cet-3921	65	20			DET
cet-3921	65	21			NUM
cet-3921	65	22			PROPN
cet-3921	65	23			NUM
cet-3921	65	24			NUM
cet-3921	65	25			PROPN
cet-3921	65	26			NUM
cet-3921	65	27			ADV
cet-3921	65	28			PUNCT
cet-3921	65	29			PROPN
cet-3921	65	30			PART
cet-3921	65	31			X
cet-3921	65	32			X
cet-3921	65	33	(	(	PUNCT
cet-3921	65	34	4	4	NUM
cet-3921	65	35	)	)	PUNCT
cet-3921	65	36	to	to	PART
cet-3921	65	37	eliminate	eliminate	VERB
cet-3921	65	38			PROPN
cet-3921	65	39	and	and	CCONJ
cet-3921	65	40			NOUN
cet-3921	65	41	in	in	ADP
cet-3921	65	42	formula	formula	NOUN
cet-3921	65	43	(	(	PUNCT
cet-3921	65	44	4	4	NUM
cet-3921	65	45	)	)	PUNCT
cet-3921	65	46	,	,	PUNCT
cet-3921	65	47	the	the	DET
cet-3921	65	48	optimization	optimization	NOUN
cet-3921	65	49	problem	problem	NOUN
cet-3921	65	50	is	be	AUX
cet-3921	65	51	transformed	transform	VERB
cet-3921	65	52	into	into	ADP
cet-3921	65	53	solving	solve	VERB
cet-3921	65	54	the	the	DET
cet-3921	65	55	following	follow	VERB
cet-3921	65	56	linear	linear	PROPN
cet-3921	65	57	equation	equation	NOUN
cet-3921	65	58	:	:	PUNCT
cet-3921	65	59	1	1	NUM
cet-3921	65	60	00	00	PUNCT
cet-3921	66	1	[	[	PUNCT
cet-3921	66	2	]	]	X
cet-3921	66	3	[	[	PUNCT
cet-3921	66	4	]	]	X
cet-3921	66	5	[	[	PUNCT
cet-3921	66	6	]	]	X
cet-3921	66	7	t	t	PROPN
cet-3921	66	8	b	b	PROPN
cet-3921	66	9	a	a	DET
cet-3921	66	10	yi	yi	NOUN
cet-3921	66	11			PROPN
cet-3921	66	12			PROPN
cet-3921	66	13			PROPN
cet-3921	66	14			PROPN
cet-3921	66	15			NUM
cet-3921	66	16			PROPN
cet-3921	66	17	(	(	PUNCT
cet-3921	66	18	5	5	NUM
cet-3921	66	19	)	)	PUNCT
cet-3921	66	20	in	in	ADP
cet-3921	66	21	formula	formula	NOUN
cet-3921	66	22	(	(	PUNCT
cet-3921	66	23	5	5	NUM
cet-3921	66	24	)	)	PUNCT
cet-3921	66	25	,	,	PUNCT
cet-3921	66	26	1	1	NUM
cet-3921	66	27	2	2	NUM
cet-3921	66	28	[	[	PUNCT
cet-3921	66	29	,	,	PUNCT
cet-3921	66	30	,	,	PUNCT
cet-3921	66	31	,	,	PUNCT
cet-3921	66	32	]	]	X
cet-3921	66	33	t	t	PROPN
cet-3921	66	34	ny	ny	PROPN
cet-3921	66	35	y	y	PROPN
cet-3921	66	36	y	y	PROPN
cet-3921	66	37	y	y	PROPN
cet-3921	66	38	,	,	PUNCT
cet-3921	66	39			PROPN
cet-3921	66	40	is	be	AUX
cet-3921	66	41	a	a	DET
cet-3921	66	42	diagonal	diagonal	ADJ
cet-3921	66	43	matrix	matrix	NOUN
cet-3921	66	44	,	,	PUNCT
cet-3921	66	45	1	1	NUM
cet-3921	66	46	2	2	NUM
cet-3921	66	47	[	[	PUNCT
cet-3921	66	48	,	,	PUNCT
cet-3921	66	49	,	,	PUNCT
cet-3921	66	50	,	,	PUNCT
cet-3921	66	51	]	]	X
cet-3921	66	52	t	t	X
cet-3921	66	53	na	na	X
cet-3921	66	54	a	a	DET
cet-3921	66	55	a	a	DET
cet-3921	66	56	a	a	NOUN
cet-3921	66	57	,	,	PUNCT
cet-3921	66	58			PROPN
cet-3921	66	59	is	be	AUX
cet-3921	66	60	a	a	DET
cet-3921	66	61	matrix	matrix	NOUN
cet-3921	66	62	(	(	PUNCT
cet-3921	66	63	,	,	PUNCT
cet-3921	66	64	)	)	PUNCT
cet-3921	66	65	(	(	PUNCT
cet-3921	67	1	)	)	PUNCT
cet-3921	67	2	(	(	PUNCT
cet-3921	67	3	)	)	PUNCT
cet-3921	67	4	t	t	X
cet-3921	67	5	ij	ij	INTJ
cet-3921	68	1	i	i	PRON
cet-3921	68	2	j	j	VERB
cet-3921	69	1	i	i	PRON
cet-3921	69	2	jk	jk	VERB
cet-3921	69	3	x	x	PUNCT
cet-3921	70	1	x	x	PUNCT
cet-3921	70	2	x	x	X
cet-3921	70	3	x	x	X
cet-3921	70	4			NOUN
cet-3921	71	1			NUM
cet-3921	71	2			NUM
cet-3921	71	3	composed	compose	VERB
cet-3921	71	4	of	of	ADP
cet-3921	71	5	ij	ij	PROPN
cet-3921	71	6	,	,	PUNCT
cet-3921	71	7	and	and	CCONJ
cet-3921	71	8	(	(	PUNCT
cet-3921	71	9	,	,	PUNCT
cet-3921	71	10	)	)	PUNCT
cet-3921	72	1	i	i	PRON
cet-3921	72	2	jk	jk	VERB
cet-3921	72	3	x	x	PUNCT
cet-3921	72	4	x	x	X
cet-3921	72	5	is	be	AUX
cet-3921	72	6	a	a	DET
cet-3921	72	7	kernel	kernel	NOUN
cet-3921	72	8	function	function	NOUN
cet-3921	72	9	.	.	PUNCT
cet-3921	73	1	the	the	DET
cet-3921	73	2	classification	classification	NOUN
cet-3921	73	3	decision	decision	NOUN
cet-3921	73	4	function	function	NOUN
cet-3921	73	5	of	of	ADP
cet-3921	73	6	lssvm	lssvm	NOUN
cet-3921	73	7	and	and	CCONJ
cet-3921	73	8	the	the	DET
cet-3921	73	9	kernel	kernel	PROPN
cet-3921	73	10	function	function	NOUN
cet-3921	73	11	is	be	AUX
cet-3921	73	12	obtained	obtain	VERB
cet-3921	73	13	by	by	ADP
cet-3921	73	14	calculating	calculate	VERB
cet-3921	73	15	the	the	DET
cet-3921	73	16	formula	formula	NOUN
cet-3921	73	17	(	(	PUNCT
cet-3921	73	18	6	6	NUM
cet-3921	73	19	)	)	PUNCT
cet-3921	73	20	and	and	CCONJ
cet-3921	73	21	formula	formula	NOUN
cet-3921	73	22	(	(	PUNCT
cet-3921	73	23	7	7	NUM
cet-3921	73	24	):	):	SYM
cet-3921	73	25	1	1	NUM
cet-3921	73	26	(	(	PUNCT
cet-3921	73	27	)	)	PUNCT
cet-3921	73	28	(	(	PUNCT
cet-3921	73	29	,	,	PUNCT
cet-3921	73	30	)	)	PUNCT
cet-3921	74	1	n	n	CCONJ
cet-3921	74	2	i	i	PRON
cet-3921	75	1	i	i	PRON
cet-3921	75	2	i	i	PRON
cet-3921	76	1	f	f	VERB
cet-3921	76	2	x	x	X
cet-3921	77	1	a	a	PRON
cet-3921	77	2	k	k	X
cet-3921	77	3	x	x	PUNCT
cet-3921	77	4	x	x	SYM
cet-3921	77	5	b	b	X
cet-3921	77	6			NUM
cet-3921	77	7			PROPN
cet-3921	77	8			NOUN
cet-3921	77	9	(	(	PUNCT
cet-3921	77	10	6	6	NUM
cet-3921	77	11	)	)	SYM
cet-3921	77	12	2	2	NUM
cet-3921	77	13	2	2	NUM
cet-3921	77	14	(	(	PUNCT
cet-3921	77	15	,	,	PUNCT
cet-3921	77	16	)	)	PUNCT
cet-3921	77	17	exp	exp	NOUN
cet-3921	77	18	(	(	PUNCT
cet-3921	77	19	)	)	PUNCT
cet-3921	77	20	2	2	NUM
cet-3921	78	1	i	i	PRON
cet-3921	78	2	j	j	VERB
cet-3921	79	1	i	i	PRON
cet-3921	79	2	j	j	VERB
cet-3921	80	1	x	x	PUNCT
cet-3921	80	2	x	x	X
cet-3921	80	3	k	k	NOUN
cet-3921	80	4	x	x	PUNCT
cet-3921	80	5	x	x	X
cet-3921	80	6			PROPN
cet-3921	80	7			NOUN
cet-3921	80	8			PROPN
cet-3921	80	9			NOUN
cet-3921	80	10	(	(	PUNCT
cet-3921	80	11	7	7	NUM
cet-3921	80	12	)	)	PUNCT
cet-3921	80	13	3.2	3.2	NUM
cet-3921	80	14	using	use	VERB
cet-3921	80	15	ant	ant	ADJ
cet-3921	80	16	colony	colony	NOUN
cet-3921	80	17	algorithm	algorithm	NOUN
cet-3921	80	18	to	to	PART
cet-3921	80	19	optimize	optimize	VERB
cet-3921	80	20	the	the	DET
cet-3921	80	21	parameters	parameter	NOUN
cet-3921	80	22	of	of	ADP
cet-3921	80	23	svm	svm	PROPN
cet-3921	80	24	at	at	ADP
cet-3921	80	25	this	this	DET
cet-3921	80	26	point	point	NOUN
cet-3921	80	27	,	,	PUNCT
cet-3921	80	28	the	the	DET
cet-3921	80	29	parameters	parameter	NOUN
cet-3921	80	30	that	that	PRON
cet-3921	80	31	need	need	VERB
cet-3921	80	32	to	to	PART
cet-3921	80	33	be	be	AUX
cet-3921	80	34	determined	determine	VERB
cet-3921	80	35	are	be	AUX
cet-3921	80	36	the	the	DET
cet-3921	80	37	regularization	regularization	NOUN
cet-3921	80	38	parameter	parameter	NOUN
cet-3921	80	39			PROPN
cet-3921	80	40	and	and	CCONJ
cet-3921	80	41	kernel	kernel	PROPN
cet-3921	80	42	function	function	PROPN
cet-3921	80	43	parameter	parameter	NOUN
cet-3921	80	44			PROPN
cet-3921	80	45	,	,	PUNCT
cet-3921	80	46	and	and	CCONJ
cet-3921	80	47	we	we	PRON
cet-3921	80	48	use	use	VERB
cet-3921	80	49	the	the	DET
cet-3921	80	50	ant	ant	ADJ
cet-3921	80	51	colony	colony	NOUN
cet-3921	80	52	algorithm	algorithm	NOUN
cet-3921	80	53	to	to	PART
cet-3921	80	54	optimize	optimize	VERB
cet-3921	80	55	the	the	DET
cet-3921	80	56	above	above	ADJ
cet-3921	80	57	two	two	NUM
cet-3921	80	58	parameters	parameter	NOUN
cet-3921	80	59	.	.	PUNCT
cet-3921	81	1	ant	ant	ADJ
cet-3921	81	2	colony	colony	NOUN
cet-3921	81	3	algorithm	algorithm	NOUN
cet-3921	81	4	is	be	AUX
cet-3921	81	5	a	a	DET
cet-3921	81	6	global	global	ADJ
cet-3921	81	7	search	search	NOUN
cet-3921	81	8	algorithm	algorithm	NOUN
cet-3921	81	9	which	which	PRON
cet-3921	81	10	combines	combine	VERB
cet-3921	81	11	the	the	DET
cet-3921	81	12	positive	positive	ADJ
cet-3921	81	13	feedback	feedback	NOUN
cet-3921	81	14	,	,	PUNCT
cet-3921	81	15	distributed	distributed	ADJ
cet-3921	81	16	computing	computing	NOUN
cet-3921	81	17	and	and	CCONJ
cet-3921	81	18	greedy	greedy	ADJ
cet-3921	81	19	heuristic	heuristic	ADJ
cet-3921	81	20	search	search	NOUN
cet-3921	81	21	.	.	PUNCT
cet-3921	82	1	it	it	PRON
cet-3921	82	2	can	can	AUX
cet-3921	82	3	effectively	effectively	ADV
cet-3921	82	4	solve	solve	VERB
cet-3921	82	5	the	the	DET
cet-3921	82	6	problem	problem	NOUN
cet-3921	82	7	of	of	ADP
cet-3921	82	8	easy	easy	ADJ
cet-3921	82	9	to	to	PART
cet-3921	82	10	fall	fall	VERB
cet-3921	82	11	into	into	ADP
cet-3921	82	12	local	local	ADJ
cet-3921	82	13	extremes	extreme	NOUN
cet-3921	82	14	.	.	PUNCT
cet-3921	83	1	based	base	VERB
cet-3921	83	2	on	on	ADP
cet-3921	83	3	this	this	PRON
cet-3921	83	4	,	,	PUNCT
cet-3921	83	5	we	we	PRON
cet-3921	83	6	take	take	VERB
cet-3921	83	7	the	the	DET
cet-3921	83	8	minimum	minimum	ADJ
cet-3921	83	9	mean	mean	NOUN
cet-3921	83	10	square	square	NOUN
cet-3921	83	11	error	error	NOUN
cet-3921	83	12	mse	mse	NOUN
cet-3921	83	13	as	as	ADP
cet-3921	83	14	the	the	DET
cet-3921	83	15	objective	objective	ADJ
cet-3921	83	16	function	function	NOUN
cet-3921	83	17	f	f	PROPN
cet-3921	83	18	of	of	ADP
cet-3921	83	19	the	the	DET
cet-3921	83	20	optimization	optimization	NOUN
cet-3921	83	21	problem	problem	NOUN
cet-3921	83	22	,	,	PUNCT
cet-3921	83	23	through	through	ADP
cet-3921	83	24	the	the	DET
cet-3921	83	25	ant	ant	ADJ
cet-3921	83	26	colony	colony	NOUN
cet-3921	83	27	algorithm	algorithm	NOUN
cet-3921	83	28	to	to	PART
cet-3921	83	29	search	search	VERB
cet-3921	83	30	the	the	DET
cet-3921	83	31	optimal	optimal	ADJ
cet-3921	83	32	objective	objective	ADJ
cet-3921	83	33	function	function	NOUN
cet-3921	83	34	value	value	NOUN
cet-3921	83	35	,	,	PUNCT
cet-3921	83	36	so	so	SCONJ
cet-3921	83	37	as	as	SCONJ
cet-3921	83	38	to	to	PART
cet-3921	83	39	obtain	obtain	VERB
cet-3921	83	40	the	the	DET
cet-3921	83	41	optimal	optimal	ADJ
cet-3921	83	42	parameter	parameter	NOUN
cet-3921	83	43	set	set	NOUN
cet-3921	83	44	(	(	PUNCT
cet-3921	83	45	,	,	NOUN
cet-3921	83	46	)	)	PUNCT
cet-3921	83	47	.	.	PUNCT
cet-3921	84	1	its	its	PRON
cet-3921	84	2	objective	objective	ADJ
cet-3921	84	3	function	function	NOUN
cet-3921	84	4	is	be	AUX
cet-3921	84	5	:	:	PUNCT
cet-3921	84	6	2	2	NUM
cet-3921	84	7	1	1	NUM
cet-3921	84	8	min	min	NOUN
cet-3921	84	9	max	max	PROPN
cet-3921	84	10	min	min	PROPN
cet-3921	84	11	max	max	PROPN
cet-3921	84	12	1	1	NUM
cet-3921	84	13	ˆmin	ˆmin	PROPN
cet-3921	84	14	min	min	PROPN
cet-3921	84	15	(	(	PUNCT
cet-3921	84	16	)	)	PUNCT
cet-3921	84	17	.	.	PUNCT
cet-3921	84	18	.	.	PUNCT
cet-3921	85	1	m	m	VERB
cet-3921	85	2	i	i	PRON
cet-3921	86	1	i	i	PRON
cet-3921	87	1	i	i	INTJ
cet-3921	87	2	f	f	PROPN
cet-3921	87	3	mse	mse	PROPN
cet-3921	88	1	y	y	PROPN
cet-3921	88	2	y	y	PROPN
cet-3921	88	3	m	m	PROPN
cet-3921	88	4	s	s	PROPN
cet-3921	88	5	t	t	PROPN
cet-3921	88	6			NUM
cet-3921	88	7			NUM
cet-3921	88	8			NUM
cet-3921	88	9			PROPN
cet-3921	88	10			X
cet-3921	88	11			NUM
cet-3921	88	12			NOUN
cet-3921	88	13			ADP
cet-3921	89	1			NOUN
cet-3921	89	2			ADJ
cet-3921	89	3			NOUN
cet-3921	89	4			ADJ
cet-3921	89	5			NOUN
cet-3921	89	6			VERB
cet-3921	89	7			NUM
cet-3921	89	8			NOUN
cet-3921	89	9			NOUN
cet-3921	89	10			NUM
cet-3921	89	11			PROPN
cet-3921	89	12			X
cet-3921	89	13	(	(	PUNCT
cet-3921	89	14	8)	8)	NUM
cet-3921	89	15	in	in	ADP
cet-3921	89	16	the	the	DET
cet-3921	89	17	formula	formula	NOUN
cet-3921	89	18	(	(	PUNCT
cet-3921	89	19	8)	8)	NUM
cet-3921	89	20	,	,	PUNCT
cet-3921	89	21	iy	iy	PROPN
cet-3921	89	22	and	and	CCONJ
cet-3921	89	23	ˆ	ˆ	PROPN
cet-3921	89	24	iy	iy	PROPN
cet-3921	89	25	are	be	AUX
cet-3921	89	26	the	the	DET
cet-3921	89	27	real	real	ADJ
cet-3921	89	28	values	value	NOUN
cet-3921	89	29	of	of	ADP
cet-3921	89	30	monitoring	monitor	VERB
cet-3921	89	31	samples	sample	NOUN
cet-3921	89	32	and	and	CCONJ
cet-3921	89	33	the	the	DET
cet-3921	89	34	predicted	predict	VERB
cet-3921	89	35	values	value	NOUN
cet-3921	89	36	calculated	calculate	VERB
cet-3921	89	37	by	by	ADP
cet-3921	89	38	lssvr	lssvr	PROPN
cet-3921	89	39	,	,	PUNCT
cet-3921	89	40	respectively	respectively	ADV
cet-3921	89	41	.	.	PUNCT
cet-3921	90	1	339	339	NUM
cet-3921	90	2	1	1	NUM
cet-3921	90	3	.	.	PUNCT
cet-3921	91	1	the	the	DET
cet-3921	91	2	parameter	parameter	PROPN
cet-3921	91	3	initialization	initialization	NOUN
cet-3921	91	4	.	.	PUNCT
cet-3921	92	1	set	set	VERB
cet-3921	92	2	the	the	DET
cet-3921	92	3	basic	basic	ADJ
cet-3921	92	4	parameters	parameter	NOUN
cet-3921	92	5	of	of	ADP
cet-3921	92	6	ant	ant	ADJ
cet-3921	92	7	colony	colony	NOUN
cet-3921	92	8	algorithm	algorithm	NOUN
cet-3921	92	9	initialization	initialization	NOUN
cet-3921	92	10	,	,	PUNCT
cet-3921	92	11	such	such	ADJ
cet-3921	92	12	as	as	ADP
cet-3921	92	13	population	population	NOUN
cet-3921	92	14	size	size	NOUN
cet-3921	92	15	n	n	CCONJ
cet-3921	92	16	,	,	PUNCT
cet-3921	92	17	the	the	DET
cet-3921	92	18	proportion	proportion	NOUN
cet-3921	92	19	factor	factor	NOUN
cet-3921	92	20	of	of	ADP
cet-3921	92	21	pheromone	pheromone	NOUN
cet-3921	92	22	update	update	NOUN
cet-3921	92	23			NOUN
cet-3921	92	24	,	,	PUNCT
cet-3921	92	25	pheromone	pheromone	NOUN
cet-3921	92	26	heuristic	heuristic	ADJ
cet-3921	92	27	factor	factor	NOUN
cet-3921	92	28			NOUN
cet-3921	92	29	,	,	PUNCT
cet-3921	92	30	etc	etc	X
cet-3921	92	31	..	..	X
cet-3921	92	32	then	then	ADV
cet-3921	92	33	,	,	PUNCT
cet-3921	92	34	the	the	DET
cet-3921	92	35	termination	termination	NOUN
cet-3921	92	36	condition	condition	NOUN
cet-3921	92	37	of	of	ADP
cet-3921	92	38	ant	ant	ADJ
cet-3921	92	39	colony	colony	NOUN
cet-3921	92	40	search	search	NOUN
cet-3921	92	41	operation	operation	NOUN
cet-3921	92	42	is	be	AUX
cet-3921	92	43	determined	determine	VERB
cet-3921	92	44	.	.	PUNCT
cet-3921	93	1	2	2	X
cet-3921	93	2	.	.	X
cet-3921	93	3	the	the	DET
cet-3921	93	4	iterative	iterative	NOUN
cet-3921	93	5	search	search	NOUN
cet-3921	93	6	.	.	PUNCT
cet-3921	94	1	first	first	ADV
cet-3921	94	2	,	,	PUNCT
cet-3921	94	3	set	set	VERB
cet-3921	94	4	the	the	DET
cet-3921	94	5	initial	initial	ADJ
cet-3921	94	6	time	time	NOUN
cet-3921	94	7	t=0	t=0	X
cet-3921	94	8	,	,	PUNCT
cet-3921	94	9	and	and	CCONJ
cet-3921	94	10	n	n	NUM
cet-3921	94	11	ants	ant	NOUN
cet-3921	94	12	are	be	AUX
cet-3921	94	13	located	locate	VERB
cet-3921	94	14	at	at	ADP
cet-3921	94	15	the	the	DET
cet-3921	94	16	starting	starting	NOUN
cet-3921	94	17	point	point	NOUN
cet-3921	94	18	.	.	PUNCT
cet-3921	95	1	after	after	SCONJ
cet-3921	95	2	the	the	DET
cet-3921	95	3	search	search	NOUN
cet-3921	95	4	starts	start	VERB
cet-3921	95	5	,	,	PUNCT
cet-3921	95	6	according	accord	VERB
cet-3921	95	7	formula	formula	NOUN
cet-3921	95	8	(	(	PUNCT
cet-3921	95	9	9	9	NUM
cet-3921	95	10	)	)	PUNCT
cet-3921	95	11	to	to	PART
cet-3921	95	12	calculate	calculate	VERB
cet-3921	95	13	the	the	DET
cet-3921	95	14	transition	transition	NOUN
cet-3921	95	15	probability	probability	NOUN
cet-3921	95	16	pk	pk	NOUN
cet-3921	95	17	ij	ij	NOUN
cet-3921	95	18	of	of	ADP
cet-3921	95	19	each	each	DET
cet-3921	95	20	ant	ant	ADJ
cet-3921	95	21	k(1,2,	k(1,2,	NOUN
cet-3921	95	22	…	…	SYM
cet-3921	95	23	,m	,m	PUNCT
cet-3921	95	24	)	)	PUNCT
cet-3921	95	25	from	from	ADP
cet-3921	95	26	the	the	DET
cet-3921	95	27	layer	layer	NOUN
cet-3921	95	28	li	li	PROPN
cet-3921	95	29	to	to	ADP
cet-3921	95	30	the	the	DET
cet-3921	95	31	layer	layer	NOUN
cet-3921	95	32	li+1	li+1	PROPN
cet-3921	95	33	.	.	PUNCT
cet-3921	96	1	then	then	ADV
cet-3921	96	2	,	,	PUNCT
cet-3921	96	3	the	the	DET
cet-3921	96	4	roulette	roulette	NOUN
cet-3921	96	5	wheel	wheel	NOUN
cet-3921	96	6	method	method	NOUN
cet-3921	96	7	is	be	AUX
cet-3921	96	8	used	use	VERB
cet-3921	96	9	to	to	PART
cet-3921	96	10	select	select	VERB
cet-3921	96	11	a	a	DET
cet-3921	96	12	node	node	NOUN
cet-3921	96	13	on	on	ADP
cet-3921	96	14	the	the	DET
cet-3921	96	15	li+1	li+1	NOUN
cet-3921	96	16	layer	layer	NOUN
cet-3921	96	17	,	,	PUNCT
cet-3921	96	18	and	and	CCONJ
cet-3921	96	19	it	it	PRON
cet-3921	96	20	is	be	AUX
cet-3921	96	21	transferred	transfer	VERB
cet-3921	96	22	to	to	ADP
cet-3921	96	23	that	that	DET
cet-3921	96	24	node	node	NOUN
cet-3921	96	25	.	.	PUNCT
cet-3921	97	1	(	(	PUNCT
cet-3921	97	2	)	)	PUNCT
cet-3921	97	3	(	(	PUNCT
cet-3921	97	4	)	)	PUNCT
cet-3921	97	5	(	(	PUNCT
cet-3921	97	6	)	)	PUNCT
cet-3921	97	7	(	(	PUNCT
cet-3921	97	8	)	)	PUNCT
cet-3921	97	9	0	0	NUM
cet-3921	98	1	k	k	NOUN
cet-3921	99	1	ij	ij	INTJ
cet-3921	99	2	ij	ij	INTJ
cet-3921	100	1	k	k	PROPN
cet-3921	100	2	k	k	PROPN
cet-3921	100	3	is	be	AUX
cet-3921	100	4	is	be	AUX
cet-3921	100	5	ij	ij	NOUN
cet-3921	100	6	s	s	PROPN
cet-3921	100	7	a	a	DET
cet-3921	100	8	k	k	PROPN
cet-3921	100	9	t	t	PROPN
cet-3921	100	10	t	t	PROPN
cet-3921	100	11	s	s	PROPN
cet-3921	100	12	a	a	DET
cet-3921	100	13	t	t	NOUN
cet-3921	100	14	tp	tp	ADP
cet-3921	100	15	s	s	PROPN
cet-3921	100	16	a	a	DET
cet-3921	100	17			NUM
cet-3921	100	18			PROPN
cet-3921	100	19			NOUN
cet-3921	100	20			PROPN
cet-3921	100	21			NOUN
cet-3921	100	22			AUX
cet-3921	100	23			PROPN
cet-3921	100	24			NUM
cet-3921	100	25			NOUN
cet-3921	100	26			ADP
cet-3921	100	27			X
cet-3921	101	1			NUM
cet-3921	101	2			NUM
cet-3921	101	3			NUM
cet-3921	101	4			X
cet-3921	101	5			X
cet-3921	101	6	(	(	PUNCT
cet-3921	101	7	9	9	NUM
cet-3921	101	8	)	)	PUNCT
cet-3921	101	9	where	where	SCONJ
cet-3921	101	10	,	,	PUNCT
cet-3921	101	11			PRON
cet-3921	101	12	represents	represent	VERB
cet-3921	101	13	the	the	DET
cet-3921	101	14	relative	relative	ADJ
cet-3921	101	15	importance	importance	NOUN
cet-3921	101	16	of	of	ADP
cet-3921	101	17	residual	residual	ADJ
cet-3921	101	18	information	information	NOUN
cet-3921	102	1	,	,	PUNCT
cet-3921	102	2			PROPN
cet-3921	102	3	represents	represent	VERB
cet-3921	102	4	the	the	DET
cet-3921	102	5	relative	relative	ADJ
cet-3921	102	6	importance	importance	NOUN
cet-3921	102	7	of	of	ADP
cet-3921	102	8	expectations	expectation	NOUN
cet-3921	102	9	,	,	PUNCT
cet-3921	102	10	and	and	CCONJ
cet-3921	102	11	ka	ka	PROPN
cet-3921	102	12	represents	represent	VERB
cet-3921	102	13	a	a	DET
cet-3921	102	14	collection	collection	NOUN
cet-3921	102	15	of	of	ADP
cet-3921	102	16	all	all	DET
cet-3921	102	17	the	the	DET
cet-3921	102	18	target	target	NOUN
cet-3921	102	19	nodes	node	NOUN
cet-3921	102	20	that	that	PRON
cet-3921	102	21	may	may	AUX
cet-3921	102	22	be	be	AUX
cet-3921	102	23	accessed	access	VERB
cet-3921	102	24	.	.	PUNCT
cet-3921	103	1	in	in	ADP
cet-3921	103	2	order	order	NOUN
cet-3921	103	3	to	to	PART
cet-3921	103	4	avoid	avoid	VERB
cet-3921	103	5	repeated	repeat	VERB
cet-3921	103	6	visits	visit	NOUN
cet-3921	103	7	to	to	ADP
cet-3921	103	8	the	the	DET
cet-3921	103	9	same	same	ADJ
cet-3921	103	10	node	node	NOUN
cet-3921	103	11	,	,	PUNCT
cet-3921	103	12	each	each	DET
cet-3921	103	13	ant	ant	NOUN
cet-3921	103	14	has	have	VERB
cet-3921	103	15	a	a	DET
cet-3921	103	16	list	list	NOUN
cet-3921	103	17	of	of	ADP
cet-3921	103	18	forbidden	forbid	VERB
cet-3921	103	19	tabu	tabu	NOUN
cet-3921	103	20	(	(	PUNCT
cet-3921	103	21	k	k	NOUN
cet-3921	103	22	)	)	PUNCT
cet-3921	103	23	,	,	PUNCT
cet-3921	103	24	which	which	PRON
cet-3921	103	25	is	be	AUX
cet-3921	103	26	used	use	VERB
cet-3921	103	27	to	to	PART
cet-3921	103	28	record	record	VERB
cet-3921	103	29	the	the	DET
cet-3921	103	30	nodes	node	NOUN
cet-3921	103	31	that	that	PRON
cet-3921	103	32	have	have	AUX
cet-3921	103	33	been	be	AUX
cet-3921	103	34	visited	visit	VERB
cet-3921	103	35	so	so	ADV
cet-3921	103	36	far	far	ADV
cet-3921	103	37	.	.	PUNCT
cet-3921	104	1	3	3	X
cet-3921	104	2	.	.	X
cet-3921	104	3	update	update	NOUN
cet-3921	104	4	pheromone	pheromone	NOUN
cet-3921	104	5	.	.	PUNCT
cet-3921	105	1	after	after	SCONJ
cet-3921	105	2	each	each	DET
cet-3921	105	3	ant	ant	NOUN
cet-3921	105	4	completes	complete	VERB
cet-3921	105	5	the	the	DET
cet-3921	105	6	access	access	NOUN
cet-3921	105	7	to	to	ADP
cet-3921	105	8	all	all	DET
cet-3921	105	9	the	the	DET
cet-3921	105	10	nodes	node	NOUN
cet-3921	105	11	,	,	PUNCT
cet-3921	105	12	it	it	PRON
cet-3921	105	13	is	be	AUX
cet-3921	105	14	necessary	necessary	ADJ
cet-3921	105	15	to	to	PART
cet-3921	105	16	update	update	VERB
cet-3921	105	17	the	the	DET
cet-3921	105	18	information	information	NOUN
cet-3921	105	19	in	in	ADP
cet-3921	105	20	the	the	DET
cet-3921	105	21	process	process	NOUN
cet-3921	105	22	.	.	PUNCT
cet-3921	106	1	at	at	ADP
cet-3921	106	2	the	the	DET
cet-3921	106	3	same	same	ADJ
cet-3921	106	4	time	time	NOUN
cet-3921	106	5	,	,	PUNCT
cet-3921	106	6	the	the	DET
cet-3921	106	7	pheromone	pheromone	NOUN
cet-3921	106	8	concentration	concentration	NOUN
cet-3921	106	9	must	must	AUX
cet-3921	106	10	be	be	AUX
cet-3921	106	11	updated	update	VERB
cet-3921	106	12	.	.	PUNCT
cet-3921	107	1	1	1	NUM
cet-3921	107	2	1	1	NUM
cet-3921	107	3	(	(	PUNCT
cet-3921	107	4	)	)	PUNCT
cet-3921	107	5	(	(	PUNCT
cet-3921	107	6	)	)	PUNCT
cet-3921	107	7	m	m	VERB
cet-3921	107	8	k	k	INTJ
cet-3921	108	1	ij	ij	INTJ
cet-3921	108	2	ij	ij	INTJ
cet-3921	109	1	ij	ij	INTJ
cet-3921	109	2	k	k	PROPN
cet-3921	109	3	t	t	PROPN
cet-3921	109	4	n	n	CCONJ
cet-3921	109	5	t	t	PROPN
cet-3921	109	6			ADP
cet-3921	109	7			NOUN
cet-3921	109	8			PROPN
cet-3921	109	9			PROPN
cet-3921	109	10			VERB
cet-3921	109	11			PROPN
cet-3921	109	12			NOUN
cet-3921	109	13	(	(	PUNCT
cet-3921	109	14	10	10	NUM
cet-3921	109	15	)	)	PUNCT
cet-3921	109	16	where	where	SCONJ
cet-3921	109	17	,	,	PUNCT
cet-3921	109	18	1	1	NUM
cet-3921	109	19	represents	represent	VERB
cet-3921	109	20	the	the	DET
cet-3921	109	21	retention	retention	NOUN
cet-3921	109	22	portion	portion	NOUN
cet-3921	109	23	of	of	ADP
cet-3921	109	24	the	the	DET
cet-3921	109	25	residue	residue	NOUN
cet-3921	109	26	information	information	NOUN
cet-3921	109	27	,	,	PUNCT
cet-3921	109	28	k	k	PROPN
cet-3921	110	1	ij	ij	PROPN
cet-3921	110	2	represents	represent	VERB
cet-3921	110	3	the	the	DET
cet-3921	110	4	pheromone	pheromone	NOUN
cet-3921	110	5	concentration	concentration	NOUN
cet-3921	110	6	of	of	ADP
cet-3921	110	7	residual	residual	ADJ
cet-3921	110	8	information	information	NOUN
cet-3921	110	9	on	on	ADP
cet-3921	110	10	the	the	DET
cet-3921	110	11	path	path	NOUN
cet-3921	110	12	of	of	ADP
cet-3921	110	13	nodes	node	NOUN
cet-3921	110	14	i	i	PRON
cet-3921	110	15	and	and	CCONJ
cet-3921	110	16	j	j	PROPN
cet-3921	110	17	between	between	ADP
cet-3921	110	18	the	the	DET
cet-3921	110	19	time	time	NOUN
cet-3921	110	20	t	t	PROPN
cet-3921	110	21	and	and	CCONJ
cet-3921	110	22	t+n	t+n	NUM
cet-3921	110	23	.	.	PUNCT
cet-3921	111	1	4	4	X
cet-3921	111	2	.	.	PUNCT
cet-3921	111	3	to	to	PART
cet-3921	111	4	determine	determine	VERB
cet-3921	111	5	the	the	DET
cet-3921	111	6	termination	termination	NOUN
cet-3921	111	7	conditions	condition	NOUN
cet-3921	111	8	.	.	PUNCT
cet-3921	112	1	check	check	VERB
cet-3921	112	2	whether	whether	SCONJ
cet-3921	112	3	the	the	DET
cet-3921	112	4	algorithm	algorithm	NOUN
cet-3921	112	5	satisfies	satisfy	VERB
cet-3921	112	6	the	the	DET
cet-3921	112	7	iteration	iteration	NOUN
cet-3921	112	8	termination	termination	NOUN
cet-3921	112	9	conditions	condition	NOUN
cet-3921	112	10	.	.	PUNCT
cet-3921	113	1	if	if	SCONJ
cet-3921	113	2	not	not	PART
cet-3921	113	3	satisfied	satisfied	ADJ
cet-3921	113	4	,	,	PUNCT
cet-3921	113	5	return	return	VERB
cet-3921	113	6	to	to	PART
cet-3921	113	7	step	step	NOUN
cet-3921	113	8	2	2	NUM
cet-3921	113	9	.	.	PUNCT
cet-3921	114	1	otherwise	otherwise	ADV
cet-3921	114	2	,	,	PUNCT
cet-3921	114	3	the	the	DET
cet-3921	114	4	algorithm	algorithm	NOUN
cet-3921	114	5	ends	end	VERB
cet-3921	114	6	,	,	PUNCT
cet-3921	114	7	and	and	CCONJ
cet-3921	114	8	the	the	DET
cet-3921	114	9	outputs	output	NOUN
cet-3921	114	10	the	the	DET
cet-3921	114	11	optimal	optimal	ADJ
cet-3921	114	12	parameter	parameter	NOUN
cet-3921	114	13	set	set	NOUN
cet-3921	114	14	(	(	PUNCT
cet-3921	114	15	,	,	NOUN
cet-3921	114	16	)	)	PUNCT
cet-3921	114	17	.	.	PUNCT
cet-3921	115	1	the	the	DET
cet-3921	115	2	specific	specific	ADJ
cet-3921	115	3	process	process	NOUN
cet-3921	115	4	is	be	AUX
cet-3921	115	5	shown	show	VERB
cet-3921	115	6	in	in	ADP
cet-3921	115	7	figure	figure	NOUN
cet-3921	115	8	3	3	NUM
cet-3921	115	9	:	:	PUNCT
cet-3921	115	10	start	start	VERB
cet-3921	115	11	initialization	initialization	NOUN
cet-3921	115	12	of	of	ADP
cet-3921	115	13	parameters	parameter	NOUN
cet-3921	115	14	of	of	ADP
cet-3921	115	15	lssvr	lssvr	PROPN
cet-3921	115	16	and	and	CCONJ
cet-3921	115	17	ac	ac	PROPN
cet-3921	115	18	n	n	PROPN
cet-3921	115	19	ants	ant	NOUN
cet-3921	115	20	are	be	AUX
cet-3921	115	21	distributed	distribute	VERB
cet-3921	115	22	to	to	ADP
cet-3921	115	23	the	the	DET
cet-3921	115	24	node	node	ADJ
cet-3921	115	25	ant	ant	ADJ
cet-3921	115	26	colony	colony	NOUN
cet-3921	115	27	search	search	NOUN
cet-3921	115	28	use	use	VERB
cet-3921	115	29	the	the	DET
cet-3921	115	30	lssvr	lssvr	NOUN
cet-3921	115	31	to	to	PART
cet-3921	115	32	train	train	VERB
cet-3921	115	33	the	the	DET
cet-3921	115	34	samples	sample	NOUN
cet-3921	115	35	set	set	VERB
cet-3921	115	36	calculate	calculate	VERB
cet-3921	115	37	the	the	DET
cet-3921	115	38	value	value	NOUN
cet-3921	115	39	of	of	ADP
cet-3921	115	40	the	the	DET
cet-3921	115	41	objective	objective	ADJ
cet-3921	115	42	function	function	NOUN
cet-3921	115	43	whether	whether	SCONJ
cet-3921	115	44	to	to	PART
cet-3921	115	45	not	not	PART
cet-3921	115	46	to	to	PART
cet-3921	115	47	meet	meet	VERB
cet-3921	115	48	the	the	DET
cet-3921	115	49	termination	termination	NOUN
cet-3921	115	50	conditions	condition	NOUN
cet-3921	115	51	with	with	ADP
cet-3921	115	52	maximum	maximum	ADJ
cet-3921	115	53	number	number	NOUN
cet-3921	115	54	of	of	ADP
cet-3921	115	55	iterations	iteration	NOUN
cet-3921	115	56	end	end	VERB
cet-3921	115	57	whether	whether	SCONJ
cet-3921	115	58	to	to	PART
cet-3921	115	59	not	not	PART
cet-3921	115	60	to	to	PART
cet-3921	115	61	meet	meet	VERB
cet-3921	115	62	the	the	DET
cet-3921	115	63	termination	termination	NOUN
cet-3921	115	64	conditions	condition	NOUN
cet-3921	115	65	with	with	ADP
cet-3921	115	66	error	error	NOUN
cet-3921	115	67	n	n	PROPN
cet-3921	115	68	y	y	PROPN
cet-3921	115	69	y	y	PROPN
cet-3921	115	70	n	n	PRON
cet-3921	115	71	figure	figure	VERB
cet-3921	115	72	3	3	NUM
cet-3921	115	73	:	:	PUNCT
cet-3921	115	74	specific	specific	ADJ
cet-3921	115	75	process	process	NOUN
cet-3921	115	76	of	of	ADP
cet-3921	115	77	the	the	DET
cet-3921	115	78	ga	ga	PROPN
cet-3921	115	79	algorithm	algorithm	PROPN
cet-3921	115	80	4	4	NUM
cet-3921	115	81	.	.	PUNCT
cet-3921	115	82	simulation	simulation	NOUN
cet-3921	115	83	experiment	experiment	NOUN
cet-3921	115	84	and	and	CCONJ
cet-3921	115	85	result	result	VERB
cet-3921	115	86	analysis	analysis	NOUN
cet-3921	115	87	4.1	4.1	NUM
cet-3921	115	88	environment	environment	NOUN
cet-3921	115	89	and	and	CCONJ
cet-3921	115	90	parameters	parameter	NOUN
cet-3921	115	91	in	in	ADP
cet-3921	115	92	this	this	DET
cet-3921	115	93	experiment	experiment	NOUN
cet-3921	115	94	,	,	PUNCT
cet-3921	115	95	we	we	PRON
cet-3921	115	96	use	use	VERB
cet-3921	115	97	the	the	DET
cet-3921	115	98	monitoring	monitoring	NOUN
cet-3921	115	99	data	datum	NOUN
cet-3921	115	100	of	of	ADP
cet-3921	115	101	pm2.5	pm2.5	PROPN
cet-3921	115	102	of	of	ADP
cet-3921	115	103	beijing	beijing	PROPN
cet-3921	115	104	city	city	PROPN
cet-3921	115	105	in	in	ADP
cet-3921	115	106	2015	2015	NUM
cet-3921	115	107	as	as	ADP
cet-3921	115	108	an	an	DET
cet-3921	115	109	example	example	NOUN
cet-3921	115	110	.	.	PUNCT
cet-3921	116	1	air	air	NOUN
cet-3921	116	2	detection	detection	NOUN
cet-3921	116	3	sensors	sensor	NOUN
cet-3921	116	4	are	be	AUX
cet-3921	116	5	distributed	distribute	VERB
cet-3921	116	6	in	in	ADP
cet-3921	116	7	the	the	DET
cet-3921	116	8	city	city	NOUN
cet-3921	116	9	to	to	PART
cet-3921	116	10	collect	collect	VERB
cet-3921	116	11	and	and	CCONJ
cet-3921	116	12	summarize	summarize	VERB
cet-3921	116	13	these	these	DET
cet-3921	116	14	data	datum	NOUN
cet-3921	116	15	which	which	PRON
cet-3921	116	16	are	be	AUX
cet-3921	116	17	used	use	VERB
cet-3921	116	18	as	as	ADP
cet-3921	116	19	the	the	DET
cet-3921	116	20	training	training	NOUN
cet-3921	116	21	set	set	NOUN
cet-3921	116	22	of	of	ADP
cet-3921	116	23	340	340	NUM
cet-3921	116	24	our	our	PRON
cet-3921	116	25	algorithm	algorithm	NOUN
cet-3921	116	26	.	.	PUNCT
cet-3921	117	1	then	then	ADV
cet-3921	117	2	,	,	PUNCT
cet-3921	117	3	we	we	PRON
cet-3921	117	4	predict	predict	VERB
cet-3921	117	5	the	the	DET
cet-3921	117	6	concentration	concentration	NOUN
cet-3921	117	7	of	of	ADP
cet-3921	117	8	pm2.5	pm2.5	PROPN
cet-3921	117	9	of	of	ADP
cet-3921	117	10	the	the	DET
cet-3921	117	11	next	next	ADJ
cet-3921	117	12	30	30	NUM
cet-3921	117	13	days	day	NOUN
cet-3921	117	14	,	,	PUNCT
cet-3921	117	15	so	so	SCONJ
cet-3921	117	16	as	as	SCONJ
cet-3921	117	17	to	to	PART
cet-3921	117	18	achieve	achieve	VERB
cet-3921	117	19	the	the	DET
cet-3921	117	20	purpose	purpose	NOUN
cet-3921	117	21	of	of	ADP
cet-3921	117	22	early	early	ADJ
cet-3921	117	23	warning	warning	NOUN
cet-3921	117	24	of	of	ADP
cet-3921	117	25	air	air	NOUN
cet-3921	117	26	pollutants	pollutant	NOUN
cet-3921	117	27	.	.	PUNCT
cet-3921	118	1	the	the	DET
cet-3921	118	2	parameters	parameter	NOUN
cet-3921	118	3	of	of	ADP
cet-3921	118	4	the	the	DET
cet-3921	118	5	model	model	NOUN
cet-3921	118	6	are	be	AUX
cet-3921	118	7	set	set	VERB
cet-3921	118	8	as	as	SCONJ
cet-3921	118	9	follows	follow	VERB
cet-3921	118	10	:	:	PUNCT
cet-3921	118	11	the	the	DET
cet-3921	118	12	range	range	NOUN
cet-3921	118	13	of	of	ADP
cet-3921	118	14			PROPN
cet-3921	118	15	is	be	AUX
cet-3921	118	16	(	(	PUNCT
cet-3921	118	17	0.01,100	0.01,100	PROPN
cet-3921	118	18	)	)	PUNCT
cet-3921	118	19	,	,	PUNCT
cet-3921	118	20	the	the	DET
cet-3921	118	21	range	range	NOUN
cet-3921	118	22	of	of	ADP
cet-3921	118	23			PROPN
cet-3921	118	24	is	be	AUX
cet-3921	118	25	(	(	PUNCT
cet-3921	118	26	0.01,100	0.01,100	PROPN
cet-3921	118	27	)	)	PUNCT
cet-3921	118	28	,	,	PUNCT
cet-3921	118	29	the	the	DET
cet-3921	118	30	ant	ant	ADJ
cet-3921	118	31	population	population	NOUN
cet-3921	118	32	size	size	NOUN
cet-3921	118	33	is	be	AUX
cet-3921	118	34	n=150	n=150	NUM
cet-3921	118	35	,	,	PUNCT
cet-3921	118	36	the	the	DET
cet-3921	118	37	maximum	maximum	ADJ
cet-3921	118	38	iteration	iteration	NOUN
cet-3921	118	39	number	number	NOUN
cet-3921	118	40	is	be	AUX
cet-3921	118	41	nmax=500	nmax=500	NOUN
cet-3921	118	42	,	,	PUNCT
cet-3921	118	43	and	and	CCONJ
cet-3921	118	44	the	the	DET
cet-3921	118	45	proportion	proportion	NOUN
cet-3921	118	46	factors	factor	NOUN
cet-3921	118	47	of	of	ADP
cet-3921	118	48	pheromone	pheromone	NOUN
cet-3921	118	49	update	update	NOUN
cet-3921	118	50	are	be	AUX
cet-3921	118	51	=0.75	=0.75	PROPN
cet-3921	118	52	,	,	PUNCT
cet-3921	118	53	=2	=2	PROPN
cet-3921	118	54	and	and	CCONJ
cet-3921	118	55	=2	=2	PROPN
cet-3921	118	56	.	.	NOUN
cet-3921	118	57	4.2	4.2	NUM
cet-3921	118	58	the	the	DET
cet-3921	118	59	experiment	experiment	NOUN
cet-3921	118	60	steps	step	NOUN
cet-3921	118	61	and	and	CCONJ
cet-3921	118	62	the	the	DET
cet-3921	118	63	result	result	NOUN
cet-3921	118	64	analysis	analysis	NOUN
cet-3921	118	65	firstly	firstly	ADV
cet-3921	118	66	,	,	PUNCT
cet-3921	118	67	we	we	PRON
cet-3921	118	68	show	show	VERB
cet-3921	118	69	the	the	DET
cet-3921	118	70	monitoring	monitoring	NOUN
cet-3921	118	71	data	datum	NOUN
cet-3921	118	72	of	of	ADP
cet-3921	118	73	pm2.5	pm2.5	PROPN
cet-3921	118	74	in	in	ADP
cet-3921	118	75	2015	2015	NUM
cet-3921	118	76	.	.	PUNCT
cet-3921	119	1	as	as	SCONJ
cet-3921	119	2	can	can	AUX
cet-3921	119	3	be	be	AUX
cet-3921	119	4	seen	see	VERB
cet-3921	119	5	from	from	ADP
cet-3921	119	6	figure	figure	NOUN
cet-3921	119	7	4	4	NUM
cet-3921	119	8	,	,	PUNCT
cet-3921	119	9	the	the	DET
cet-3921	119	10	pm2.5	pm2.5	ADJ
cet-3921	119	11	value	value	NOUN
cet-3921	119	12	of	of	ADP
cet-3921	119	13	beijing	beijing	PROPN
cet-3921	119	14	city	city	PROPN
cet-3921	119	15	is	be	AUX
cet-3921	119	16	higher	high	ADJ
cet-3921	119	17	in	in	ADP
cet-3921	119	18	spring	spring	NOUN
cet-3921	119	19	and	and	CCONJ
cet-3921	119	20	winter	winter	NOUN
cet-3921	119	21	,	,	PUNCT
cet-3921	119	22	but	but	CCONJ
cet-3921	119	23	lower	low	ADJ
cet-3921	119	24	in	in	ADP
cet-3921	119	25	summer	summer	NOUN
cet-3921	119	26	and	and	CCONJ
cet-3921	119	27	autumn	autumn	NOUN
cet-3921	119	28	.	.	PUNCT
cet-3921	120	1	this	this	PRON
cet-3921	120	2	shows	show	VERB
cet-3921	120	3	that	that	SCONJ
cet-3921	120	4	the	the	DET
cet-3921	120	5	weather	weather	NOUN
cet-3921	120	6	conditions	condition	NOUN
cet-3921	120	7	are	be	AUX
cet-3921	120	8	the	the	DET
cet-3921	120	9	main	main	ADJ
cet-3921	120	10	factors	factor	NOUN
cet-3921	120	11	that	that	PRON
cet-3921	120	12	affecting	affect	VERB
cet-3921	120	13	the	the	DET
cet-3921	120	14	pm2.5	pm2.5	PROPN
cet-3921	120	15	seasonal	seasonal	ADJ
cet-3921	120	16	changes	change	NOUN
cet-3921	120	17	.	.	PUNCT
cet-3921	121	1	figure	figure	VERB
cet-3921	121	2	4	4	NUM
cet-3921	121	3	:	:	PUNCT
cet-3921	121	4	pm2.5	pm2.5	PRON
cet-3921	121	5	monitoring	monitor	VERB
cet-3921	121	6	data	datum	NOUN
cet-3921	121	7	of	of	ADP
cet-3921	121	8	beijing	beijing	PROPN
cet-3921	121	9	city	city	PROPN
cet-3921	121	10	in	in	ADP
cet-3921	121	11	2015	2015	NUM
cet-3921	121	12	secondly	secondly	ADV
cet-3921	121	13	,	,	PUNCT
cet-3921	121	14	five	five	NUM
cet-3921	121	15	kinds	kind	NOUN
cet-3921	121	16	of	of	ADP
cet-3921	121	17	meteorological	meteorological	ADJ
cet-3921	121	18	factors	factor	NOUN
cet-3921	121	19	are	be	AUX
cet-3921	121	20	selected	select	VERB
cet-3921	121	21	in	in	ADP
cet-3921	121	22	this	this	DET
cet-3921	121	23	study	study	NOUN
cet-3921	121	24	.	.	PUNCT
cet-3921	122	1	they	they	PRON
cet-3921	122	2	are	be	AUX
cet-3921	122	3	temperature	temperature	NOUN
cet-3921	122	4	(	(	PUNCT
cet-3921	122	5	t	t	NOUN
cet-3921	122	6	)	)	PUNCT
cet-3921	122	7	,	,	PUNCT
cet-3921	122	8	relative	relative	ADJ
cet-3921	122	9	humidity	humidity	NOUN
cet-3921	122	10	(	(	PUNCT
cet-3921	122	11	rh	rh	PROPN
cet-3921	122	12	)	)	PUNCT
cet-3921	122	13	,	,	PUNCT
cet-3921	122	14	pressure	pressure	NOUN
cet-3921	122	15	(	(	PUNCT
cet-3921	122	16	p	p	NOUN
cet-3921	122	17	)	)	PUNCT
cet-3921	122	18	,	,	PUNCT
cet-3921	122	19	wind	wind	NOUN
cet-3921	122	20	speed	speed	NOUN
cet-3921	122	21	(	(	PUNCT
cet-3921	122	22	f	f	X
cet-3921	122	23	)	)	PUNCT
cet-3921	122	24	,	,	PUNCT
cet-3921	122	25	rainfall	rainfall	NOUN
cet-3921	122	26	(	(	PUNCT
cet-3921	122	27	r	r	NOUN
cet-3921	122	28	)	)	PUNCT
cet-3921	122	29	.	.	PUNCT
cet-3921	123	1	from	from	ADP
cet-3921	123	2	figure	figure	NOUN
cet-3921	123	3	5	5	NUM
cet-3921	123	4	we	we	PRON
cet-3921	123	5	can	can	AUX
cet-3921	123	6	see	see	VERB
cet-3921	123	7	that	that	SCONJ
cet-3921	123	8	the	the	DET
cet-3921	123	9	annual	annual	ADJ
cet-3921	123	10	temperature	temperature	NOUN
cet-3921	123	11	has	have	VERB
cet-3921	123	12	a	a	DET
cet-3921	123	13	close	close	ADJ
cet-3921	123	14	relationship	relationship	NOUN
cet-3921	123	15	with	with	ADP
cet-3921	123	16	pm2.5	pm2.5	PROPN
cet-3921	123	17	.	.	PUNCT
cet-3921	124	1	in	in	ADP
cet-3921	124	2	spring	spring	NOUN
cet-3921	124	3	and	and	CCONJ
cet-3921	124	4	winter	winter	NOUN
cet-3921	124	5	,	,	PUNCT
cet-3921	124	6	when	when	SCONJ
cet-3921	124	7	the	the	DET
cet-3921	124	8	temperature	temperature	NOUN
cet-3921	124	9	is	be	AUX
cet-3921	124	10	low	low	ADJ
cet-3921	124	11	,	,	PUNCT
cet-3921	124	12	the	the	DET
cet-3921	124	13	pm2.5	pm2.5	ADJ
cet-3921	124	14	value	value	NOUN
cet-3921	124	15	is	be	AUX
cet-3921	124	16	more	more	ADJ
cet-3921	124	17	than	than	ADP
cet-3921	124	18	300	300	NUM
cet-3921	124	19	.	.	PUNCT
cet-3921	125	1	and	and	CCONJ
cet-3921	125	2	when	when	SCONJ
cet-3921	125	3	the	the	DET
cet-3921	125	4	temperature	temperature	NOUN
cet-3921	125	5	is	be	AUX
cet-3921	125	6	higher	high	ADJ
cet-3921	125	7	,	,	PUNCT
cet-3921	125	8	the	the	DET
cet-3921	125	9	pm2.5	pm2.5	ADJ
cet-3921	125	10	value	value	NOUN
cet-3921	125	11	is	be	AUX
cet-3921	125	12	less	less	ADJ
cet-3921	125	13	than	than	ADP
cet-3921	125	14	100	100	NUM
cet-3921	125	15	.	.	PUNCT
cet-3921	126	1	this	this	PRON
cet-3921	126	2	shows	show	VERB
cet-3921	126	3	that	that	SCONJ
cet-3921	126	4	the	the	DET
cet-3921	126	5	air	air	NOUN
cet-3921	126	6	quality	quality	NOUN
cet-3921	126	7	is	be	AUX
cet-3921	126	8	excellent	excellent	ADJ
cet-3921	126	9	.	.	PUNCT
cet-3921	127	1	figure	figure	NOUN
cet-3921	127	2	5	5	NUM
cet-3921	127	3	:	:	PUNCT
cet-3921	127	4	relationship	relationship	NOUN
cet-3921	127	5	between	between	ADP
cet-3921	127	6	temperature	temperature	NOUN
cet-3921	127	7	and	and	CCONJ
cet-3921	127	8	pm2.5	pm2.5	ADJ
cet-3921	127	9	from	from	ADP
cet-3921	127	10	figure	figure	NOUN
cet-3921	127	11	6	6	NUM
cet-3921	127	12	we	we	PRON
cet-3921	127	13	can	can	AUX
cet-3921	127	14	see	see	VERB
cet-3921	127	15	that	that	SCONJ
cet-3921	127	16	the	the	DET
cet-3921	127	17	annual	annual	ADJ
cet-3921	127	18	humidity	humidity	NOUN
cet-3921	127	19	has	have	VERB
cet-3921	127	20	a	a	DET
cet-3921	127	21	close	close	ADJ
cet-3921	127	22	relationship	relationship	NOUN
cet-3921	127	23	with	with	ADP
cet-3921	127	24	pm2.5	pm2.5	PROPN
cet-3921	127	25	.	.	PUNCT
cet-3921	128	1	at	at	ADP
cet-3921	128	2	the	the	DET
cet-3921	128	3	top	top	ADJ
cet-3921	128	4	right	right	NOUN
cet-3921	128	5	of	of	ADP
cet-3921	128	6	the	the	DET
cet-3921	128	7	figure	figure	NOUN
cet-3921	128	8	,	,	PUNCT
cet-3921	128	9	there	there	PRON
cet-3921	128	10	are	be	VERB
cet-3921	128	11	a	a	DET
cet-3921	128	12	lot	lot	NOUN
cet-3921	128	13	of	of	ADP
cet-3921	128	14	brown	brown	ADJ
cet-3921	128	15	spots	spot	NOUN
cet-3921	128	16	.	.	PUNCT
cet-3921	129	1	this	this	PRON
cet-3921	129	2	shows	show	VERB
cet-3921	129	3	that	that	SCONJ
cet-3921	129	4	when	when	SCONJ
cet-3921	129	5	the	the	DET
cet-3921	129	6	air	air	NOUN
cet-3921	129	7	is	be	AUX
cet-3921	129	8	more	more	ADV
cet-3921	129	9	humid	humid	NOUN
cet-3921	129	10	,	,	PUNCT
cet-3921	129	11	the	the	DET
cet-3921	129	12	probability	probability	NOUN
cet-3921	129	13	of	of	ADP
cet-3921	129	14	a	a	DET
cet-3921	129	15	higher	high	ADJ
cet-3921	129	16	concentration	concentration	NOUN
cet-3921	129	17	of	of	ADP
cet-3921	129	18	pm2.5	pm2.5	PROPN
cet-3921	129	19	is	be	AUX
cet-3921	129	20	very	very	ADV
cet-3921	129	21	large	large	ADJ
cet-3921	129	22	.	.	PUNCT
cet-3921	130	1	on	on	ADP
cet-3921	130	2	the	the	DET
cet-3921	130	3	contrary	contrary	NOUN
cet-3921	130	4	,	,	PUNCT
cet-3921	130	5	when	when	SCONJ
cet-3921	130	6	the	the	DET
cet-3921	130	7	air	air	NOUN
cet-3921	130	8	is	be	AUX
cet-3921	130	9	dry	dry	ADJ
cet-3921	130	10	,	,	PUNCT
cet-3921	130	11	the	the	DET
cet-3921	130	12	air	air	NOUN
cet-3921	130	13	quality	quality	NOUN
cet-3921	130	14	is	be	AUX
cet-3921	130	15	usually	usually	ADV
cet-3921	130	16	better	well	ADJ
cet-3921	130	17	.	.	PUNCT
cet-3921	131	1	in	in	ADP
cet-3921	131	2	addition	addition	NOUN
cet-3921	131	3	,	,	PUNCT
cet-3921	131	4	the	the	DET
cet-3921	131	5	air	air	NOUN
cet-3921	131	6	pressure	pressure	NOUN
cet-3921	131	7	,	,	PUNCT
cet-3921	131	8	wind	wind	NOUN
cet-3921	131	9	speed	speed	NOUN
cet-3921	131	10	and	and	CCONJ
cet-3921	131	11	rainfall	rainfall	NOUN
cet-3921	131	12	also	also	ADV
cet-3921	131	13	have	have	VERB
cet-3921	131	14	a	a	DET
cet-3921	131	15	very	very	ADV
cet-3921	131	16	close	close	ADJ
cet-3921	131	17	relationship	relationship	NOUN
cet-3921	131	18	with	with	ADP
cet-3921	131	19	the	the	DET
cet-3921	131	20	pm2.5	pm2.5	PROPN
cet-3921	131	21	.	.	PUNCT
cet-3921	132	1	therefore	therefore	ADV
cet-3921	132	2	,	,	PUNCT
cet-3921	132	3	this	this	DET
cet-3921	132	4	paper	paper	NOUN
cet-3921	132	5	selects	select	VERB
cet-3921	132	6	these	these	DET
cet-3921	132	7	five	five	NUM
cet-3921	132	8	factors	factor	NOUN
cet-3921	132	9	as	as	ADP
cet-3921	132	10	sample	sample	NOUN
cet-3921	132	11	data	datum	NOUN
cet-3921	132	12	,	,	PUNCT
cet-3921	132	13	and	and	CCONJ
cet-3921	132	14	inputs	input	VERB
cet-3921	132	15	them	they	PRON
cet-3921	132	16	to	to	ADP
cet-3921	132	17	the	the	DET
cet-3921	132	18	improved	improved	ADJ
cet-3921	132	19	support	support	NOUN
cet-3921	132	20	vector	vector	NOUN
cet-3921	132	21	regression	regression	NOUN
cet-3921	132	22	model	model	NOUN
cet-3921	132	23	.	.	PUNCT
cet-3921	133	1	figure	figure	VERB
cet-3921	133	2	6	6	NUM
cet-3921	133	3	:	:	PUNCT
cet-3921	133	4	relationship	relationship	NOUN
cet-3921	133	5	between	between	ADP
cet-3921	133	6	humidity	humidity	NOUN
cet-3921	133	7	and	and	CCONJ
cet-3921	133	8	pm2.5	pm2.5	ADV
cet-3921	133	9	341	341	NUM
cet-3921	133	10	thirdly	thirdly	ADV
cet-3921	133	11	,	,	PUNCT
cet-3921	133	12	we	we	PRON
cet-3921	133	13	use	use	VERB
cet-3921	133	14	three	three	NUM
cet-3921	133	15	different	different	ADJ
cet-3921	133	16	methods	method	NOUN
cet-3921	133	17	to	to	PART
cet-3921	133	18	predict	predict	VERB
cet-3921	133	19	the	the	DET
cet-3921	133	20	value	value	NOUN
cet-3921	133	21	of	of	ADP
cet-3921	133	22	pm2.5	pm2.5	PROPN
cet-3921	133	23	.	.	PUNCT
cet-3921	134	1	then	then	ADV
cet-3921	134	2	,	,	PUNCT
cet-3921	134	3	by	by	ADP
cet-3921	134	4	calculating	calculate	VERB
cet-3921	134	5	the	the	DET
cet-3921	134	6	percentage	percentage	NOUN
cet-3921	134	7	of	of	ADP
cet-3921	134	8	successful	successful	ADJ
cet-3921	134	9	times	time	NOUN
cet-3921	134	10	and	and	CCONJ
cet-3921	134	11	the	the	DET
cet-3921	134	12	number	number	NOUN
cet-3921	134	13	of	of	ADP
cet-3921	134	14	samples	sample	NOUN
cet-3921	134	15	,	,	PUNCT
cet-3921	134	16	we	we	PRON
cet-3921	134	17	can	can	AUX
cet-3921	134	18	judge	judge	VERB
cet-3921	134	19	the	the	DET
cet-3921	134	20	success	success	NOUN
cet-3921	134	21	rate	rate	NOUN
cet-3921	134	22	of	of	ADP
cet-3921	134	23	the	the	DET
cet-3921	134	24	prediction	prediction	NOUN
cet-3921	134	25	algorithm	algorithm	NOUN
cet-3921	134	26	.	.	PUNCT
cet-3921	135	1	the	the	DET
cet-3921	135	2	improved	improve	VERB
cet-3921	135	3	svm	svm	ADJ
cet-3921	135	4	algorithm	algorithm	NOUN
cet-3921	135	5	,	,	PUNCT
cet-3921	135	6	bp	bp	PROPN
cet-3921	135	7	neural	neural	ADJ
cet-3921	135	8	network	network	NOUN
cet-3921	135	9	method	method	NOUN
cet-3921	135	10	and	and	CCONJ
cet-3921	135	11	grey	grey	ADJ
cet-3921	135	12	prediction	prediction	NOUN
cet-3921	135	13	method	method	NOUN
cet-3921	135	14	are	be	AUX
cet-3921	135	15	analyzed	analyze	VERB
cet-3921	135	16	and	and	CCONJ
cet-3921	135	17	compared	compare	VERB
cet-3921	135	18	in	in	ADP
cet-3921	135	19	the	the	DET
cet-3921	135	20	case	case	NOUN
cet-3921	135	21	of	of	ADP
cet-3921	135	22	error	error	NOUN
cet-3921	135	23	threshold	threshold	NOUN
cet-3921	135	24	value	value	NOUN
cet-3921	135	25	between	between	ADP
cet-3921	135	26	1	1	NUM
cet-3921	135	27	g	g	PROPN
cet-3921	135	28	/	/	SYM
cet-3921	135	29	m3	m3	PROPN
cet-3921	135	30	and	and	CCONJ
cet-3921	135	31	5g	5g	PROPN
cet-3921	135	32	/	/	SYM
cet-3921	135	33	m3	m3	PROPN
cet-3921	135	34	.	.	PUNCT
cet-3921	136	1	figure	figure	NOUN
cet-3921	136	2	7	7	NUM
cet-3921	136	3	shows	show	VERB
cet-3921	136	4	the	the	DET
cet-3921	136	5	average	average	ADJ
cet-3921	136	6	success	success	NOUN
cet-3921	136	7	rate	rate	NOUN
cet-3921	136	8	of	of	ADP
cet-3921	136	9	the	the	DET
cet-3921	136	10	three	three	NUM
cet-3921	136	11	prediction	prediction	NOUN
cet-3921	136	12	algorithms	algorithm	NOUN
cet-3921	136	13	that	that	PRON
cet-3921	136	14	predict	predict	VERB
cet-3921	136	15	the	the	DET
cet-3921	136	16	pm2.5	pm2.5	PROPN
cet-3921	136	17	of	of	ADP
cet-3921	136	18	beijing	beijing	PROPN
cet-3921	136	19	in	in	ADP
cet-3921	136	20	january	january	PROPN
cet-3921	136	21	2016	2016	NUM
cet-3921	136	22	.	.	PUNCT
cet-3921	137	1	figure	figure	VERB
cet-3921	137	2	7	7	NUM
cet-3921	137	3	:	:	PUNCT
cet-3921	137	4	comparison	comparison	NOUN
cet-3921	137	5	of	of	ADP
cet-3921	137	6	the	the	DET
cet-3921	137	7	average	average	ADJ
cet-3921	137	8	success	success	NOUN
cet-3921	137	9	rate	rate	NOUN
cet-3921	137	10	of	of	ADP
cet-3921	137	11	the	the	DET
cet-3921	137	12	three	three	NUM
cet-3921	137	13	prediction	prediction	NOUN
cet-3921	137	14	methods	method	NOUN
cet-3921	137	15	as	as	SCONJ
cet-3921	137	16	can	can	AUX
cet-3921	137	17	be	be	AUX
cet-3921	137	18	seen	see	VERB
cet-3921	137	19	from	from	ADP
cet-3921	137	20	figure	figure	NOUN
cet-3921	137	21	7	7	NUM
cet-3921	137	22	,	,	PUNCT
cet-3921	137	23	the	the	DET
cet-3921	137	24	improved	improved	ADJ
cet-3921	137	25	support	support	NOUN
cet-3921	137	26	vector	vector	NOUN
cet-3921	137	27	prediction	prediction	NOUN
cet-3921	137	28	algorithm	algorithm	NOUN
cet-3921	137	29	is	be	AUX
cet-3921	137	30	significantly	significantly	ADV
cet-3921	137	31	better	well	ADJ
cet-3921	137	32	than	than	ADP
cet-3921	137	33	the	the	DET
cet-3921	137	34	other	other	ADJ
cet-3921	137	35	two	two	NUM
cet-3921	137	36	algorithms	algorithm	NOUN
cet-3921	137	37	.	.	PUNCT
cet-3921	138	1	it	it	PRON
cet-3921	138	2	shows	show	VERB
cet-3921	138	3	that	that	SCONJ
cet-3921	138	4	the	the	DET
cet-3921	138	5	optimization	optimization	NOUN
cet-3921	138	6	of	of	ADP
cet-3921	138	7	continuous	continuous	ADJ
cet-3921	138	8	space	space	NOUN
cet-3921	138	9	based	base	VERB
cet-3921	138	10	on	on	ADP
cet-3921	138	11	ant	ant	ADJ
cet-3921	138	12	colony	colony	NOUN
cet-3921	138	13	algorithm	algorithm	NOUN
cet-3921	138	14	is	be	AUX
cet-3921	138	15	very	very	ADV
cet-3921	138	16	important	important	ADJ
cet-3921	138	17	for	for	ADP
cet-3921	138	18	the	the	DET
cet-3921	138	19	important	important	ADJ
cet-3921	138	20	parameters	parameter	NOUN
cet-3921	138	21	(	(	PUNCT
cet-3921	138	22	,	,	NOUN
cet-3921	138	23	)	)	PUNCT
cet-3921	138	24	which	which	PRON
cet-3921	138	25	affect	affect	VERB
cet-3921	138	26	the	the	DET
cet-3921	138	27	prediction	prediction	NOUN
cet-3921	138	28	accuracy	accuracy	NOUN
cet-3921	138	29	of	of	ADP
cet-3921	138	30	support	support	NOUN
cet-3921	138	31	vector	vector	NOUN
cet-3921	138	32	machines	machine	NOUN
cet-3921	138	33	.	.	PUNCT
cet-3921	139	1	it	it	PRON
cet-3921	139	2	avoids	avoid	VERB
cet-3921	139	3	the	the	DET
cet-3921	139	4	defects	defect	NOUN
cet-3921	139	5	of	of	ADP
cet-3921	139	6	the	the	DET
cet-3921	139	7	experience	experience	NOUN
cet-3921	139	8	when	when	SCONJ
cet-3921	139	9	the	the	DET
cet-3921	139	10	parameters	parameter	NOUN
cet-3921	139	11	are	be	AUX
cet-3921	139	12	chosen	choose	VERB
cet-3921	139	13	,	,	PUNCT
cet-3921	139	14	and	and	CCONJ
cet-3921	139	15	the	the	DET
cet-3921	139	16	prediction	prediction	NOUN
cet-3921	139	17	accuracy	accuracy	NOUN
cet-3921	139	18	is	be	AUX
cet-3921	139	19	obviously	obviously	ADV
cet-3921	139	20	improved	improve	VERB
cet-3921	139	21	.	.	PUNCT
cet-3921	140	1	5	5	X
cet-3921	140	2	.	.	X
cet-3921	140	3	conclusion	conclusion	NOUN
cet-3921	140	4	this	this	DET
cet-3921	140	5	paper	paper	NOUN
cet-3921	140	6	builds	build	VERB
cet-3921	140	7	a	a	DET
cet-3921	140	8	wireless	wireless	ADJ
cet-3921	140	9	sensor	sensor	NOUN
cet-3921	140	10	networks	network	NOUN
cet-3921	140	11	for	for	ADP
cet-3921	140	12	the	the	DET
cet-3921	140	13	acquisition	acquisition	NOUN
cet-3921	140	14	and	and	CCONJ
cet-3921	140	15	transmission	transmission	NOUN
cet-3921	140	16	of	of	ADP
cet-3921	140	17	various	various	ADJ
cet-3921	140	18	air	air	NOUN
cet-3921	140	19	pollutants	pollutant	NOUN
cet-3921	140	20	data	datum	NOUN
cet-3921	140	21	.	.	PUNCT
cet-3921	141	1	this	this	DET
cet-3921	141	2	network	network	NOUN
cet-3921	141	3	can	can	AUX
cet-3921	141	4	effectively	effectively	ADV
cet-3921	141	5	monitor	monitor	VERB
cet-3921	141	6	the	the	DET
cet-3921	141	7	current	current	ADJ
cet-3921	141	8	existence	existence	NOUN
cet-3921	141	9	of	of	ADP
cet-3921	141	10	most	most	ADJ
cet-3921	141	11	of	of	ADP
cet-3921	141	12	the	the	DET
cet-3921	141	13	pollutant	pollutant	ADJ
cet-3921	141	14	gas	gas	NOUN
cet-3921	141	15	.	.	PUNCT
cet-3921	142	1	secondly	secondly	ADV
cet-3921	142	2	,	,	PUNCT
cet-3921	142	3	according	accord	VERB
cet-3921	142	4	to	to	ADP
cet-3921	142	5	the	the	DET
cet-3921	142	6	received	receive	VERB
cet-3921	142	7	data	datum	NOUN
cet-3921	142	8	,	,	PUNCT
cet-3921	142	9	this	this	DET
cet-3921	142	10	paper	paper	NOUN
cet-3921	142	11	introduces	introduce	VERB
cet-3921	142	12	the	the	DET
cet-3921	142	13	support	support	NOUN
cet-3921	142	14	vector	vector	NOUN
cet-3921	142	15	regression	regression	NOUN
cet-3921	142	16	model	model	NOUN
cet-3921	142	17	based	base	VERB
cet-3921	142	18	on	on	ADP
cet-3921	142	19	ant	ant	ADJ
cet-3921	142	20	colony	colony	NOUN
cet-3921	142	21	optimization	optimization	NOUN
cet-3921	142	22	to	to	PART
cet-3921	142	23	forecast	forecast	VERB
cet-3921	142	24	the	the	DET
cet-3921	142	25	concentration	concentration	NOUN
cet-3921	142	26	of	of	ADP
cet-3921	142	27	pollutants	pollutant	NOUN
cet-3921	142	28	in	in	ADP
cet-3921	142	29	the	the	DET
cet-3921	142	30	air	air	NOUN
cet-3921	142	31	.	.	PUNCT
cet-3921	143	1	because	because	SCONJ
cet-3921	143	2	the	the	DET
cet-3921	143	3	prediction	prediction	NOUN
cet-3921	143	4	accuracy	accuracy	NOUN
cet-3921	143	5	of	of	ADP
cet-3921	143	6	support	support	NOUN
cet-3921	143	7	vector	vector	NOUN
cet-3921	143	8	machine	machine	NOUN
cet-3921	143	9	is	be	AUX
cet-3921	143	10	largely	largely	ADV
cet-3921	143	11	determined	determine	VERB
cet-3921	143	12	by	by	ADP
cet-3921	143	13	the	the	DET
cet-3921	143	14	selection	selection	NOUN
cet-3921	143	15	of	of	ADP
cet-3921	143	16	parameters	parameter	NOUN
cet-3921	143	17	,	,	PUNCT
cet-3921	143	18	the	the	DET
cet-3921	143	19	selection	selection	NOUN
cet-3921	143	20	of	of	ADP
cet-3921	143	21	training	training	NOUN
cet-3921	143	22	parameters	parameter	NOUN
cet-3921	143	23	is	be	AUX
cet-3921	143	24	optimized	optimize	VERB
cet-3921	143	25	by	by	ADP
cet-3921	143	26	using	use	VERB
cet-3921	143	27	ant	ant	ADJ
cet-3921	143	28	colony	colony	NOUN
cet-3921	143	29	algorithm	algorithm	NOUN
cet-3921	143	30	in	in	ADP
cet-3921	143	31	order	order	NOUN
cet-3921	143	32	to	to	PART
cet-3921	143	33	get	get	VERB
cet-3921	143	34	the	the	DET
cet-3921	143	35	optimized	optimize	VERB
cet-3921	143	36	support	support	NOUN
cet-3921	143	37	vector	vector	NOUN
cet-3921	143	38	machine	machine	NOUN
cet-3921	143	39	prediction	prediction	NOUN
cet-3921	143	40	model	model	NOUN
cet-3921	143	41	.	.	PUNCT
cet-3921	144	1	at	at	ADP
cet-3921	144	2	last	last	ADV
cet-3921	144	3	,	,	PUNCT
cet-3921	144	4	we	we	PRON
cet-3921	144	5	use	use	VERB
cet-3921	144	6	the	the	DET
cet-3921	144	7	modified	modify	VERB
cet-3921	144	8	model	model	NOUN
cet-3921	144	9	to	to	PART
cet-3921	144	10	predict	predict	VERB
cet-3921	144	11	the	the	DET
cet-3921	144	12	concentration	concentration	NOUN
cet-3921	144	13	of	of	ADP
cet-3921	144	14	pm2.5	pm2.5	PROPN
cet-3921	144	15	with	with	ADP
cet-3921	144	16	nonlinear	nonlinear	ADJ
cet-3921	144	17	data	datum	NOUN
cet-3921	144	18	.	.	PUNCT
cet-3921	145	1	experimental	experimental	ADJ
cet-3921	145	2	results	result	NOUN
cet-3921	145	3	show	show	VERB
cet-3921	145	4	that	that	SCONJ
cet-3921	145	5	the	the	DET
cet-3921	145	6	proposed	propose	VERB
cet-3921	145	7	improved	improve	VERB
cet-3921	145	8	support	support	NOUN
cet-3921	145	9	vector	vector	NOUN
cet-3921	145	10	prediction	prediction	NOUN
cet-3921	145	11	algorithm	algorithm	NOUN
cet-3921	145	12	is	be	AUX
cet-3921	145	13	effective	effective	ADJ
cet-3921	145	14	,	,	PUNCT
cet-3921	145	15	and	and	CCONJ
cet-3921	145	16	is	be	AUX
cet-3921	145	17	significantly	significantly	ADV
cet-3921	145	18	better	well	ADJ
cet-3921	145	19	than	than	ADP
cet-3921	145	20	the	the	DET
cet-3921	145	21	other	other	ADJ
cet-3921	145	22	two	two	NUM
cet-3921	145	23	prediction	prediction	NOUN
cet-3921	145	24	algorithm	algorithm	NOUN
cet-3921	145	25	.	.	PUNCT
cet-3921	146	1	references	reference	NOUN
cet-3921	146	2	chen	chen	PROPN
cet-3921	146	3	j.p	j.p	PROPN
cet-3921	146	4	.	.	PROPN
cet-3921	146	5	,	,	PUNCT
cet-3921	146	6	li	li	PROPN
cet-3921	146	7	z.j	z.j	PROPN
cet-3921	146	8	.	.	PROPN
cet-3921	146	9	,	,	PUNCT
cet-3921	146	10	2013	2013	NUM
cet-3921	146	11	,	,	PUNCT
cet-3921	146	12	the	the	DET
cet-3921	146	13	situation	situation	NOUN
cet-3921	146	14	and	and	CCONJ
cet-3921	146	15	existing	exist	VERB
cet-3921	146	16	problems	problem	NOUN
cet-3921	146	17	of	of	ADP
cet-3921	146	18	air	air	NOUN
cet-3921	146	19	pollution	pollution	NOUN
cet-3921	146	20	control	control	NOUN
cet-3921	146	21	in	in	ADP
cet-3921	146	22	china	china	PROPN
cet-3921	146	23	and	and	CCONJ
cet-3921	146	24	some	some	DET
cet-3921	146	25	policy	policy	NOUN
cet-3921	146	26	suggestions	suggestion	NOUN
cet-3921	147	1	[	[	X
cet-3921	147	2	j	j	X
cet-3921	147	3	]	]	X
cet-3921	147	4	.	.	PUNCT
cet-3921	148	1	development	development	NOUN
cet-3921	148	2	research	research	PROPN
cet-3921	148	3	,	,	PUNCT
cet-3921	148	4	10	10	NUM
cet-3921	148	5	:	:	SYM
cet-3921	148	6	4	4	NUM
cet-3921	148	7	-	-	SYM
cet-3921	148	8	14	14	NUM
cet-3921	148	9	.	.	PUNCT
cet-3921	149	1	hao	hao	PROPN
cet-3921	149	2	j.m	j.m	PROPN
cet-3921	149	3	.	.	PROPN
cet-3921	149	4	,	,	PUNCT
cet-3921	149	5	cheng	cheng	PROPN
cet-3921	149	6	z.	z.	PROPN
cet-3921	149	7	,	,	PUNCT
cet-3921	149	8	wang	wang	PROPN
cet-3921	149	9	s.x	s.x	PROPN
cet-3921	149	10	.	.	PROPN
cet-3921	149	11	,	,	PUNCT
cet-3921	149	12	2012	2012	NUM
cet-3921	149	13	,	,	PUNCT
cet-3921	149	14	research	research	NOUN
cet-3921	149	15	on	on	ADP
cet-3921	149	16	the	the	DET
cet-3921	149	17	present	present	ADJ
cet-3921	149	18	situation	situation	NOUN
cet-3921	149	19	and	and	CCONJ
cet-3921	149	20	control	control	NOUN
cet-3921	149	21	measures	measure	NOUN
cet-3921	149	22	of	of	ADP
cet-3921	149	23	atmospheric	atmospheric	ADJ
cet-3921	149	24	environmental	environmental	ADJ
cet-3921	149	25	pollution	pollution	NOUN
cet-3921	149	26	in	in	ADP
cet-3921	149	27	china	china	PROPN
cet-3921	150	1	[	[	X
cet-3921	150	2	j	j	X
cet-3921	150	3	]	]	X
cet-3921	150	4	.	.	PUNCT
cet-3921	151	1	environmental	environmental	ADJ
cet-3921	151	2	protection	protection	PROPN
cet-3921	151	3	,	,	PUNCT
cet-3921	151	4	09	09	NUM
cet-3921	151	5	:	:	PUNCT
cet-3921	151	6	17	17	NUM
cet-3921	151	7	-	-	SYM
cet-3921	151	8	20	20	NUM
cet-3921	151	9	.	.	PUNCT
cet-3921	152	1	mamidisetty	mamidisetty	PROPN
cet-3921	152	2	k.k	k.k	PROPN
cet-3921	152	3	.	.	PROPN
cet-3921	152	4	,	,	PUNCT
cet-3921	152	5	duan	duan	PROPN
cet-3921	152	6	m.l	m.l	PROPN
cet-3921	152	7	.	.	PROPN
cet-3921	152	8	,	,	PUNCT
cet-3921	152	9	sastry	sastry	PROPN
cet-3921	152	10	s.	s.	PROPN
cet-3921	152	11	,	,	PUNCT
cet-3921	152	12	2009	2009	NUM
cet-3921	152	13	,	,	PUNCT
cet-3921	152	14	multipath	multipath	NOUN
cet-3921	152	15	dissemination	dissemination	NOUN
cet-3921	152	16	in	in	ADP
cet-3921	152	17	regular	regular	ADJ
cet-3921	152	18	mesh	mesh	NOUN
cet-3921	152	19	topologies[j	topologies[j	PROPN
cet-3921	152	20	]	]	PUNCT
cet-3921	152	21	.	.	PUNCT
cet-3921	153	1	ieee	ieee	NOUN
cet-3921	153	2	transactions	transaction	NOUN
cet-3921	153	3	on	on	ADP
cet-3921	153	4	parallel	parallel	ADJ
cet-3921	153	5	and	and	CCONJ
cet-3921	153	6	distributed	distributed	ADJ
cet-3921	153	7	systems	system	NOUN
cet-3921	153	8	,	,	PUNCT
cet-3921	153	9	20(8	20(8	NUM
cet-3921	153	10	):	):	PUNCT
cet-3921	153	11	1188	1188	NUM
cet-3921	153	12	-	-	SYM
cet-3921	153	13	1201	1201	NUM
cet-3921	153	14	.	.	PUNCT
cet-3921	154	1	doi	doi	NOUN
cet-3921	154	2	:	:	PUNCT
cet-3921	154	3	10.1109	10.1109	NUM
cet-3921	154	4	/	/	SYM
cet-3921	154	5	tpds.2008.164	tpds.2008.164	PROPN
cet-3921	154	6	reddy	reddy	PROPN
cet-3921	154	7	a.	a.	PROPN
cet-3921	154	8	,	,	PUNCT
cet-3921	154	9	kumar	kumar	PROPN
cet-3921	154	10	a.	a.	PROPN
cet-3921	154	11	,	,	PUNCT
cet-3921	154	12	janakiram	janakiram	PROPN
cet-3921	154	13	d.	d.	PROPN
cet-3921	154	14	,	,	PUNCT
cet-3921	154	15	2009	2009	NUM
cet-3921	154	16	,	,	PUNCT
cet-3921	154	17	wireless	wireless	ADJ
cet-3921	154	18	sensor	sensor	NOUN
cet-3921	154	19	network	network	NOUN
cet-3921	154	20	operating	operating	NOUN
cet-3921	154	21	systems	system	NOUN
cet-3921	154	22	:	:	PUNCT
cet-3921	154	23	a	a	DET
cet-3921	154	24	survey[j	survey[j	PROPN
cet-3921	154	25	]	]	PUNCT
cet-3921	154	26	.	.	PUNCT
cet-3921	155	1	international	international	ADJ
cet-3921	155	2	journal	journal	PROPN
cet-3921	155	3	of	of	ADP
cet-3921	155	4	sensor	sensor	NOUN
cet-3921	155	5	networks	network	NOUN
cet-3921	155	6	,	,	PUNCT
cet-3921	155	7	5(4	5(4	NUM
cet-3921	155	8	):	):	PUNCT
cet-3921	155	9	236	236	NUM
cet-3921	155	10	-	-	SYM
cet-3921	155	11	255	255	NUM
cet-3921	155	12	.	.	PUNCT
cet-3921	156	1	doi	doi	NOUN
cet-3921	156	2	:	:	PUNCT
cet-3921	156	3	10.1504	10.1504	NUM
cet-3921	156	4	/	/	SYM
cet-3921	156	5	ijsnet.2009.027631	ijsnet.2009.027631	PROPN
cet-3921	156	6	tian	tian	PROPN
cet-3921	156	7	l.	l.	PROPN
cet-3921	156	8	,	,	PUNCT
cet-3921	156	9	dong	dong	PROPN
cet-3921	156	10	d.m	d.m	PROPN
cet-3921	156	11	.	.	PROPN
cet-3921	156	12	,	,	PUNCT
cet-3921	156	13	wei	wei	PROPN
cet-3921	156	14	q	q	PROPN
cet-3921	156	15	,	,	PUNCT
cet-3921	156	16	et	et	PROPN
cet-3921	156	17	al	al	PROPN
cet-3921	156	18	.	.	PROPN
cet-3921	156	19	,	,	PUNCT
cet-3921	156	20	2011	2011	NUM
cet-3921	156	21	,	,	PUNCT
cet-3921	156	22	comparison	comparison	NOUN
cet-3921	156	23	of	of	ADP
cet-3921	156	24	three	three	NUM
cet-3921	156	25	spatial	spatial	ADJ
cet-3921	156	26	interpolation	interpolation	NOUN
cet-3921	156	27	methods	method	NOUN
cet-3921	156	28	for	for	ADP
cet-3921	156	29	statistical	statistical	ADJ
cet-3921	156	30	processing	processing	NOUN
cet-3921	156	31	of	of	ADP
cet-3921	156	32	lead	lead	NOUN
cet-3921	156	33	monitoring	monitor	VERB
cet-3921	156	34	data	datum	NOUN
cet-3921	156	35	in	in	ADP
cet-3921	156	36	road	road	NOUN
cet-3921	156	37	dus	dus	PROPN
cet-3921	156	38	t[j	t[j	PROPN
cet-3921	156	39	]	]	PUNCT
cet-3921	156	40	.	.	PUNCT
cet-3921	157	1	jilin	jilin	PROPN
cet-3921	157	2	university	university	PROPN
cet-3921	157	3	sci	sci	PROPN
cet-3921	157	4	ed	ed	NOUN
cet-3921	157	5	,	,	PUNCT
cet-3921	157	6	49(5	49(5	NUM
cet-3921	157	7	):	):	PUNCT
cet-3921	157	8	964	964	NUM
cet-3921	157	9	-	-	SYM
cet-3921	157	10	970	970	NUM
cet-3921	157	11	.	.	PUNCT
cet-3921	158	1	wang	wang	PROPN
cet-3921	158	2	y.g	y.g	PROPN
cet-3921	158	3	.	.	PROPN
cet-3921	158	4	,	,	PUNCT
cet-3921	158	5	yin	yin	PROPN
cet-3921	159	1	x.g	x.g	PROPN
cet-3921	159	2	.	.	PROPN
cet-3921	159	3	,	,	PUNCT
cet-3921	159	4	you	you	PRON
cet-3921	159	5	d.	d.	PROPN
cet-3921	159	6	,	,	PUNCT
cet-3921	159	7	2010	2010	NUM
cet-3921	159	8	,	,	PUNCT
cet-3921	159	9	application	application	NOUN
cet-3921	159	10	of	of	ADP
cet-3921	159	11	wireless	wireless	ADJ
cet-3921	159	12	sensor	sensor	NOUN
cet-3921	159	13	networks	network	NOUN
cet-3921	159	14	in	in	ADP
cet-3921	159	15	smart	smart	ADJ
cet-3921	159	16	grid	grid	NOUN
cet-3921	160	1	[	[	X
cet-3921	160	2	j	j	X
cet-3921	160	3	]	]	X
cet-3921	160	4	.	.	PUNCT
cet-3921	161	1	power	power	NOUN
cet-3921	161	2	system	system	NOUN
cet-3921	161	3	technology	technology	NOUN
cet-3921	161	4	,	,	PUNCT
cet-3921	161	5	34(5	34(5	NUM
cet-3921	161	6	):	):	PUNCT
cet-3921	161	7	7	7	NUM
cet-3921	161	8	-	-	SYM
cet-3921	161	9	11	11	NUM
cet-3921	161	10	.	.	PUNCT
cet-3921	162	1	wu	wu	PROPN
cet-3921	162	2	m.y	m.y	PROPN
cet-3921	162	3	.	.	PROPN
cet-3921	162	4	,	,	PUNCT
cet-3921	162	5	2010	2010	NUM
cet-3921	162	6	,	,	PUNCT
cet-3921	162	7	suggestions	suggestion	NOUN
cet-3921	162	8	on	on	ADP
cet-3921	162	9	revision	revision	NOUN
cet-3921	162	10	of	of	ADP
cet-3921	162	11	air	air	NOUN
cet-3921	162	12	pollution	pollution	PROPN
cet-3921	162	13	control	control	NOUN
cet-3921	162	14	law	law	NOUN
cet-3921	162	15	in	in	ADP
cet-3921	162	16	china[j	china[j	PROPN
cet-3921	162	17	]	]	PUNCT
cet-3921	162	18	.	.	PUNCT
cet-3921	163	1	knowledge	knowledge	NOUN
cet-3921	163	2	economy	economy	NOUN
cet-3921	163	3	,	,	PUNCT
cet-3921	163	4	16	16	NUM
cet-3921	163	5	:	:	SYM
cet-3921	163	6	3132	3132	NUM
cet-3921	163	7	.	.	PUNCT
cet-3921	164	1	yuan	yuan	PROPN
cet-3921	164	2	f.	f.	PROPN
cet-3921	164	3	,	,	PUNCT
cet-3921	164	4	bai	bai	PROPN
cet-3921	164	5	x.y	x.y	PROPN
cet-3921	164	6	.	.	PROPN
cet-3921	164	7	,	,	PUNCT
cet-3921	164	8	zhou	zhou	PROPN
cet-3921	164	9	t.f	t.f	PROPN
cet-3921	164	10	.	.	PROPN
cet-3921	164	11	,	,	PUNCT
cet-3921	164	12	et	et	PROPN
cet-3921	164	13	al	al	PROPN
cet-3921	164	14	.	.	PROPN
cet-3921	164	15	,	,	PUNCT
cet-3921	164	16	2008	2008	NUM
cet-3921	164	17	,	,	PUNCT
cet-3921	164	18	comparison	comparison	NOUN
cet-3921	164	19	between	between	ADP
cet-3921	164	20	methods	method	NOUN
cet-3921	164	21	for	for	ADP
cet-3921	164	22	interpolation	interpolation	NOUN
cet-3921	164	23	of	of	ADP
cet-3921	164	24	studying	study	VERB
cet-3921	164	25	spatial	spatial	ADJ
cet-3921	164	26	distribution	distribution	NOUN
cet-3921	164	27	of	of	ADP
cet-3921	164	28	elements	element	NOUN
cet-3921	164	29	:	:	PUNCT
cet-3921	164	30	a	a	DET
cet-3921	164	31	case	case	NOUN
cet-3921	164	32	study	study	NOUN
cet-3921	164	33	of	of	ADP
cet-3921	164	34	soil	soil	NOUN
cet-3921	164	35	heavy	heavy	ADJ
cet-3921	164	36	metals	metal	NOUN
cet-3921	164	37	in	in	ADP
cet-3921	164	38	tongling	tongling	NOUN
cet-3921	164	39	area	area	NOUN
cet-3921	165	1	[	[	X
cet-3921	165	2	j	j	X
cet-3921	165	3	]	]	X
cet-3921	165	4	.	.	PUNCT
cet-3921	166	1	earth	earth	PROPN
cet-3921	166	2	sci	sci	PROPN
cet-3921	166	3	front	front	NOUN
cet-3921	166	4	,	,	PUNCT
cet-3921	166	5	15(5	15(5	NUM
cet-3921	166	6	):	):	PUNCT
cet-3921	166	7	103110	103110	NUM
cet-3921	166	8	.	.	PUNCT
cet-3921	167	1	zhang	zhang	PROPN
cet-3921	167	2	t.c	t.c	PROPN
cet-3921	167	3	.	.	PROPN
cet-3921	167	4	,	,	PUNCT
cet-3921	167	5	chang	chang	PROPN
cet-3921	167	6	q.r	q.r	PROPN
cet-3921	167	7	.	.	PROPN
cet-3921	167	8	,	,	PUNCT
cet-3921	167	9	liu	liu	PROPN
cet-3921	167	10	j.	j.	PROPN
cet-3921	167	11	,	,	PUNCT
cet-3921	167	12	2010	2010	NUM
cet-3921	167	13	,	,	PUNCT
cet-3921	167	14	comparison	comparison	NOUN
cet-3921	167	15	of	of	ADP
cet-3921	167	16	spatial	spatial	ADJ
cet-3921	167	17	interpolation	interpolation	NOUN
cet-3921	167	18	methods	method	NOUN
cet-3921	167	19	for	for	ADP
cet-3921	167	20	soil	soil	NOUN
cet-3921	167	21	nutrient	nutrient	NOUN
cet-3921	167	22	elements	element	NOUN
cet-3921	167	23	:	:	PUNCT
cet-3921	167	24	a	a	DET
cet-3921	167	25	case	case	NOUN
cet-3921	167	26	study	study	NOUN
cet-3921	167	27	of	of	ADP
cet-3921	167	28	yuyang	yuyang	PROPN
cet-3921	167	29	county	county	PROPN
cet-3921	168	1	[	[	X
cet-3921	169	1	j	j	X
cet-3921	169	2	]	]	X
cet-3921	169	3	.	.	PUNCT
cet-3921	170	1	agric	agric	PROPN
cet-3921	170	2	res	res	PROPN
cet-3921	170	3	arid	arid	NOUN
cet-3921	170	4	areas	area	NOUN
cet-3921	170	5	,	,	PUNCT
cet-3921	170	6	28(2	28(2	NUM
cet-3921	170	7	):	):	PUNCT
cet-3921	170	8	177	177	NUM
cet-3921	170	9	-	-	SYM
cet-3921	170	10	180	180	NUM
cet-3921	170	11	.	.	PUNCT
cet-3921	170	12	342	342	NUM