id	sid	tid	token	lemma	pos
fcis-3743	1	1	frontiers	frontier	NOUN
fcis-3743	1	2	in	in	ADP
fcis-3743	1	3	computing	computing	NOUN
fcis-3743	1	4	and	and	CCONJ
fcis-3743	1	5	intelligent	intelligent	ADJ
fcis-3743	1	6	systems	system	NOUN
fcis-3743	1	7	issn	issn	VERB
fcis-3743	1	8	:	:	PUNCT
fcis-3743	1	9	2832	2832	NUM
fcis-3743	1	10	-	-	SYM
fcis-3743	1	11	6024	6024	NUM
fcis-3743	1	12	|	|	NOUN
fcis-3743	1	13	vol	vol	NOUN
fcis-3743	1	14	.	.	PROPN
fcis-3743	2	1	2	2	NUM
fcis-3743	2	2	,	,	PUNCT
fcis-3743	2	3	no	no	INTJ
fcis-3743	2	4	.	.	NOUN
fcis-3743	2	5	2	2	NUM
fcis-3743	2	6	,	,	PUNCT
fcis-3743	2	7	2022	2022	NUM
fcis-3743	2	8	19	19	NUM
fcis-3743	2	9	research	research	NOUN
fcis-3743	2	10	on	on	ADP
fcis-3743	2	11	application	application	NOUN
fcis-3743	2	12	of	of	ADP
fcis-3743	2	13	mathematical	mathematical	ADJ
fcis-3743	2	14	modeling	modeling	NOUN
fcis-3743	2	15	based	base	VERB
fcis-3743	2	16	on	on	ADP
fcis-3743	2	17	matrix	matrix	NOUN
fcis-3743	2	18	theory	theory	NOUN
fcis-3743	2	19	xueyan	xueyan	PROPN
fcis-3743	2	20	song	song	PROPN
fcis-3743	2	21	school	school	PROPN
fcis-3743	2	22	of	of	ADP
fcis-3743	2	23	xinjiang	xinjiang	PROPN
fcis-3743	2	24	production	production	PROPN
fcis-3743	2	25	and	and	CCONJ
fcis-3743	2	26	construction	construction	NOUN
fcis-3743	2	27	corps	corps	NOUN
fcis-3743	2	28	no	no	NOUN
fcis-3743	2	29	.	.	NOUN
fcis-3743	2	30	2	2	NUM
fcis-3743	2	31	middle	middle	ADJ
fcis-3743	2	32	school	school	NOUN
fcis-3743	2	33	,	,	PUNCT
fcis-3743	2	34	xinjiang	xinjiang	PROPN
fcis-3743	2	35	830002	830002	NUM
fcis-3743	2	36	,	,	PUNCT
fcis-3743	2	37	china	china	PROPN
fcis-3743	2	38	abstract	abstract	PROPN
fcis-3743	2	39	:	:	PUNCT
fcis-3743	2	40	as	as	ADP
fcis-3743	2	41	a	a	DET
fcis-3743	2	42	simple	simple	ADJ
fcis-3743	2	43	tool	tool	NOUN
fcis-3743	2	44	for	for	ADP
fcis-3743	2	45	understanding	understand	VERB
fcis-3743	2	46	complex	complex	ADJ
fcis-3743	2	47	things	thing	NOUN
fcis-3743	2	48	,	,	PUNCT
fcis-3743	2	49	matrix	matrix	NOUN
fcis-3743	2	50	has	have	AUX
fcis-3743	2	51	been	be	AUX
fcis-3743	2	52	widely	widely	ADV
fcis-3743	2	53	used	use	VERB
fcis-3743	2	54	in	in	ADP
fcis-3743	2	55	various	various	ADJ
fcis-3743	2	56	disciplines	discipline	NOUN
fcis-3743	2	57	and	and	CCONJ
fcis-3743	2	58	mathematical	mathematical	ADJ
fcis-3743	2	59	modeling	modeling	NOUN
fcis-3743	2	60	.	.	PUNCT
fcis-3743	3	1	the	the	DET
fcis-3743	3	2	development	development	NOUN
fcis-3743	3	3	of	of	ADP
fcis-3743	3	4	any	any	DET
fcis-3743	3	5	discipline	discipline	NOUN
fcis-3743	3	6	is	be	AUX
fcis-3743	3	7	closely	closely	ADV
fcis-3743	3	8	related	relate	VERB
fcis-3743	3	9	to	to	ADP
fcis-3743	3	10	quantitative	quantitative	ADJ
fcis-3743	3	11	analysis	analysis	NOUN
fcis-3743	3	12	and	and	CCONJ
fcis-3743	3	13	research	research	NOUN
fcis-3743	3	14	,	,	PUNCT
fcis-3743	3	15	and	and	CCONJ
fcis-3743	3	16	mathematics	mathematic	NOUN
fcis-3743	3	17	plays	play	VERB
fcis-3743	3	18	a	a	DET
fcis-3743	3	19	vital	vital	ADJ
fcis-3743	3	20	role	role	NOUN
fcis-3743	3	21	in	in	ADP
fcis-3743	3	22	quantitative	quantitative	ADJ
fcis-3743	3	23	research	research	NOUN
fcis-3743	3	24	.	.	PUNCT
fcis-3743	4	1	matrix	matrix	NOUN
fcis-3743	4	2	is	be	AUX
fcis-3743	4	3	one	one	NUM
fcis-3743	4	4	of	of	ADP
fcis-3743	4	5	the	the	DET
fcis-3743	4	6	most	most	ADV
fcis-3743	4	7	basic	basic	ADJ
fcis-3743	4	8	mathematical	mathematical	ADJ
fcis-3743	4	9	concepts	concept	NOUN
fcis-3743	4	10	,	,	PUNCT
fcis-3743	4	11	and	and	CCONJ
fcis-3743	4	12	it	it	PRON
fcis-3743	4	13	is	be	AUX
fcis-3743	4	14	also	also	ADV
fcis-3743	4	15	a	a	DET
fcis-3743	4	16	simple	simple	ADJ
fcis-3743	4	17	thinking	thinking	NOUN
fcis-3743	4	18	tool	tool	NOUN
fcis-3743	4	19	for	for	SCONJ
fcis-3743	4	20	people	people	NOUN
fcis-3743	4	21	to	to	PART
fcis-3743	4	22	grasp	grasp	VERB
fcis-3743	4	23	the	the	DET
fcis-3743	4	24	essence	essence	NOUN
fcis-3743	4	25	of	of	ADP
fcis-3743	4	26	complex	complex	ADJ
fcis-3743	4	27	practical	practical	ADJ
fcis-3743	4	28	things	thing	NOUN
fcis-3743	4	29	.	.	PUNCT
fcis-3743	5	1	matrix	matrix	NOUN
fcis-3743	5	2	is	be	AUX
fcis-3743	5	3	widely	widely	ADV
fcis-3743	5	4	used	use	VERB
fcis-3743	5	5	in	in	ADP
fcis-3743	5	6	mathematical	mathematical	ADJ
fcis-3743	5	7	modeling	modeling	NOUN
fcis-3743	5	8	.	.	PUNCT
fcis-3743	6	1	in	in	ADP
fcis-3743	6	2	the	the	DET
fcis-3743	6	3	process	process	NOUN
fcis-3743	6	4	of	of	ADP
fcis-3743	6	5	mathematical	mathematical	ADJ
fcis-3743	6	6	modeling	modeling	NOUN
fcis-3743	6	7	,	,	PUNCT
fcis-3743	6	8	we	we	PRON
fcis-3743	6	9	often	often	ADV
fcis-3743	6	10	encounter	encounter	VERB
fcis-3743	6	11	some	some	DET
fcis-3743	6	12	mathematical	mathematical	ADJ
fcis-3743	6	13	models	model	NOUN
fcis-3743	6	14	that	that	PRON
fcis-3743	6	15	can	can	AUX
fcis-3743	6	16	be	be	AUX
fcis-3743	6	17	handled	handle	VERB
fcis-3743	6	18	by	by	ADP
fcis-3743	6	19	graphs	graph	NOUN
fcis-3743	6	20	and	and	CCONJ
fcis-3743	6	21	adjacency	adjacency	NOUN
fcis-3743	6	22	matrices	matrix	NOUN
fcis-3743	6	23	of	of	ADP
fcis-3743	6	24	graphs	graph	NOUN
fcis-3743	6	25	.	.	PUNCT
fcis-3743	7	1	using	use	VERB
fcis-3743	7	2	adjacency	adjacency	NOUN
fcis-3743	7	3	matrix	matrix	NOUN
fcis-3743	7	4	to	to	PART
fcis-3743	7	5	represent	represent	VERB
fcis-3743	7	6	graphs	graph	NOUN
fcis-3743	7	7	is	be	AUX
fcis-3743	7	8	simple	simple	ADJ
fcis-3743	7	9	and	and	CCONJ
fcis-3743	7	10	intuitive	intuitive	ADJ
fcis-3743	7	11	,	,	PUNCT
fcis-3743	7	12	and	and	CCONJ
fcis-3743	7	13	adjacency	adjacency	NOUN
fcis-3743	7	14	matrix	matrix	NOUN
fcis-3743	7	15	can	can	AUX
fcis-3743	7	16	represent	represent	VERB
fcis-3743	7	17	some	some	DET
fcis-3743	7	18	practical	practical	ADJ
fcis-3743	7	19	information	information	NOUN
fcis-3743	7	20	of	of	ADP
fcis-3743	7	21	graphs	graph	NOUN
fcis-3743	7	22	.	.	PUNCT
fcis-3743	8	1	in	in	ADP
fcis-3743	8	2	this	this	DET
fcis-3743	8	3	paper	paper	NOUN
fcis-3743	8	4	,	,	PUNCT
fcis-3743	8	5	the	the	DET
fcis-3743	8	6	application	application	NOUN
fcis-3743	8	7	of	of	ADP
fcis-3743	8	8	adjacency	adjacency	NOUN
fcis-3743	8	9	matrix	matrix	NOUN
fcis-3743	8	10	in	in	ADP
fcis-3743	8	11	mathematical	mathematical	ADJ
fcis-3743	8	12	modeling	modeling	NOUN
fcis-3743	8	13	is	be	AUX
fcis-3743	8	14	analyzed	analyze	VERB
fcis-3743	8	15	and	and	CCONJ
fcis-3743	8	16	studied	study	VERB
fcis-3743	8	17	,	,	PUNCT
fcis-3743	8	18	and	and	CCONJ
fcis-3743	8	19	on	on	ADP
fcis-3743	8	20	this	this	DET
fcis-3743	8	21	basis	basis	NOUN
fcis-3743	8	22	,	,	PUNCT
fcis-3743	8	23	the	the	DET
fcis-3743	8	24	application	application	NOUN
fcis-3743	8	25	of	of	ADP
fcis-3743	8	26	matrix	matrix	NOUN
fcis-3743	8	27	in	in	ADP
fcis-3743	8	28	mathematical	mathematical	ADJ
fcis-3743	8	29	modeling	modeling	NOUN
fcis-3743	8	30	is	be	AUX
fcis-3743	8	31	further	far	ADV
fcis-3743	8	32	studied	study	VERB
fcis-3743	8	33	and	and	CCONJ
fcis-3743	8	34	popularized	popularize	VERB
fcis-3743	8	35	.	.	PUNCT
fcis-3743	9	1	keywords	keyword	NOUN
fcis-3743	9	2	:	:	PUNCT
fcis-3743	9	3	matrix	matrix	VERB
fcis-3743	9	4	;	;	PUNCT
fcis-3743	9	5	mathematical	mathematical	ADJ
fcis-3743	9	6	modeling	modeling	NOUN
fcis-3743	9	7	;	;	PUNCT
fcis-3743	9	8	thought	think	VERB
fcis-3743	9	9	tool	tool	NOUN
fcis-3743	9	10	.	.	PUNCT
fcis-3743	10	1	1	1	X
fcis-3743	10	2	.	.	X
fcis-3743	10	3	introduction	introduction	NOUN
fcis-3743	10	4	it	it	PRON
fcis-3743	10	5	is	be	AUX
fcis-3743	10	6	the	the	DET
fcis-3743	10	7	mother	mother	NOUN
fcis-3743	10	8	of	of	ADP
fcis-3743	10	9	mathematical	mathematical	ADJ
fcis-3743	10	10	science	science	NOUN
fcis-3743	10	11	and	and	CCONJ
fcis-3743	10	12	the	the	DET
fcis-3743	10	13	common	common	ADJ
fcis-3743	10	14	foundation	foundation	NOUN
fcis-3743	10	15	of	of	ADP
fcis-3743	10	16	many	many	ADJ
fcis-3743	10	17	disciplines	discipline	NOUN
fcis-3743	10	18	.	.	PUNCT
fcis-3743	11	1	with	with	ADP
fcis-3743	11	2	the	the	DET
fcis-3743	11	3	rapid	rapid	ADJ
fcis-3743	11	4	development	development	NOUN
fcis-3743	11	5	of	of	ADP
fcis-3743	11	6	computer	computer	NOUN
fcis-3743	11	7	and	and	CCONJ
fcis-3743	11	8	the	the	DET
fcis-3743	11	9	arrival	arrival	NOUN
fcis-3743	11	10	of	of	ADP
fcis-3743	11	11	information	information	NOUN
fcis-3743	11	12	age	age	NOUN
fcis-3743	11	13	,	,	PUNCT
fcis-3743	11	14	people	people	NOUN
fcis-3743	11	15	pay	pay	VERB
fcis-3743	11	16	more	more	ADJ
fcis-3743	11	17	and	and	CCONJ
fcis-3743	11	18	more	more	ADJ
fcis-3743	11	19	attention	attention	NOUN
fcis-3743	11	20	to	to	ADP
fcis-3743	11	21	quantitative	quantitative	ADJ
fcis-3743	11	22	research	research	NOUN
fcis-3743	11	23	in	in	ADP
fcis-3743	11	24	most	most	ADJ
fcis-3743	11	25	research	research	NOUN
fcis-3743	11	26	fields	field	NOUN
fcis-3743	11	27	[	[	X
fcis-3743	11	28	1	1	NUM
fcis-3743	11	29	]	]	PUNCT
fcis-3743	11	30	.	.	PUNCT
fcis-3743	12	1	in	in	ADP
fcis-3743	12	2	the	the	DET
fcis-3743	12	3	process	process	NOUN
fcis-3743	12	4	of	of	ADP
fcis-3743	12	5	mathematical	mathematical	ADJ
fcis-3743	12	6	modeling	modeling	NOUN
fcis-3743	12	7	,	,	PUNCT
fcis-3743	12	8	we	we	PRON
fcis-3743	12	9	often	often	ADV
fcis-3743	12	10	encounter	encounter	VERB
fcis-3743	12	11	some	some	DET
fcis-3743	12	12	mathematical	mathematical	ADJ
fcis-3743	12	13	models	model	NOUN
fcis-3743	12	14	that	that	PRON
fcis-3743	12	15	can	can	AUX
fcis-3743	12	16	be	be	AUX
fcis-3743	12	17	handled	handle	VERB
fcis-3743	12	18	by	by	ADP
fcis-3743	12	19	graphs	graph	NOUN
fcis-3743	12	20	and	and	CCONJ
fcis-3743	12	21	adjacency	adjacency	NOUN
fcis-3743	12	22	matrices	matrix	NOUN
fcis-3743	12	23	of	of	ADP
fcis-3743	12	24	graphs	graph	NOUN
fcis-3743	12	25	[	[	X
fcis-3743	12	26	2	2	NUM
fcis-3743	12	27	]	]	PUNCT
fcis-3743	12	28	.	.	PUNCT
fcis-3743	13	1	using	use	VERB
fcis-3743	13	2	adjacency	adjacency	NOUN
fcis-3743	13	3	matrix	matrix	NOUN
fcis-3743	13	4	to	to	PART
fcis-3743	13	5	represent	represent	VERB
fcis-3743	13	6	graphs	graph	NOUN
fcis-3743	13	7	is	be	AUX
fcis-3743	13	8	simple	simple	ADJ
fcis-3743	13	9	and	and	CCONJ
fcis-3743	13	10	intuitive	intuitive	ADJ
fcis-3743	13	11	,	,	PUNCT
fcis-3743	13	12	and	and	CCONJ
fcis-3743	13	13	adjacency	adjacency	NOUN
fcis-3743	13	14	matrix	matrix	NOUN
fcis-3743	13	15	can	can	AUX
fcis-3743	13	16	represent	represent	VERB
fcis-3743	13	17	some	some	DET
fcis-3743	13	18	practical	practical	ADJ
fcis-3743	13	19	information	information	NOUN
fcis-3743	13	20	of	of	ADP
fcis-3743	13	21	graphs	graph	NOUN
fcis-3743	13	22	[	[	X
fcis-3743	13	23	3	3	NUM
fcis-3743	13	24	]	]	PUNCT
fcis-3743	13	25	.	.	PUNCT
fcis-3743	14	1	matrix	matrix	NOUN
fcis-3743	14	2	is	be	AUX
fcis-3743	14	3	one	one	NUM
fcis-3743	14	4	of	of	ADP
fcis-3743	14	5	the	the	DET
fcis-3743	14	6	most	most	ADV
fcis-3743	14	7	basic	basic	ADJ
fcis-3743	14	8	mathematical	mathematical	ADJ
fcis-3743	14	9	concepts	concept	NOUN
fcis-3743	14	10	,	,	PUNCT
fcis-3743	14	11	and	and	CCONJ
fcis-3743	14	12	it	it	PRON
fcis-3743	14	13	is	be	AUX
fcis-3743	14	14	also	also	ADV
fcis-3743	14	15	a	a	DET
fcis-3743	14	16	simple	simple	ADJ
fcis-3743	14	17	thinking	thinking	NOUN
fcis-3743	14	18	tool	tool	NOUN
fcis-3743	14	19	for	for	SCONJ
fcis-3743	14	20	people	people	NOUN
fcis-3743	14	21	to	to	PART
fcis-3743	14	22	grasp	grasp	VERB
fcis-3743	14	23	the	the	DET
fcis-3743	14	24	essence	essence	NOUN
fcis-3743	14	25	of	of	ADP
fcis-3743	14	26	complex	complex	ADJ
fcis-3743	14	27	practical	practical	ADJ
fcis-3743	14	28	things	thing	NOUN
fcis-3743	14	29	.	.	PUNCT
fcis-3743	15	1	in	in	ADP
fcis-3743	15	2	mathematical	mathematical	ADJ
fcis-3743	15	3	modeling	modeling	NOUN
fcis-3743	15	4	,	,	PUNCT
fcis-3743	15	5	matrix	matrix	NOUN
fcis-3743	15	6	is	be	AUX
fcis-3743	15	7	widely	widely	ADV
fcis-3743	15	8	used	use	VERB
fcis-3743	15	9	,	,	PUNCT
fcis-3743	15	10	such	such	ADJ
fcis-3743	15	11	as	as	ADP
fcis-3743	15	12	mathematical	mathematical	ADJ
fcis-3743	15	13	programming	programming	NOUN
fcis-3743	15	14	,	,	PUNCT
fcis-3743	15	15	analytic	analytic	ADJ
fcis-3743	15	16	hierarchy	hierarchy	NOUN
fcis-3743	15	17	process	process	NOUN
fcis-3743	15	18	,	,	PUNCT
fcis-3743	15	19	markov	markov	PROPN
fcis-3743	15	20	chain	chain	NOUN
fcis-3743	15	21	model	model	NOUN
fcis-3743	15	22	,	,	PUNCT
fcis-3743	15	23	input	input	NOUN
fcis-3743	15	24	-	-	PUNCT
fcis-3743	15	25	output	output	NOUN
fcis-3743	15	26	,	,	PUNCT
fcis-3743	15	27	data	datum	NOUN
fcis-3743	15	28	fitting	fitting	ADJ
fcis-3743	15	29	,	,	PUNCT
fcis-3743	15	30	etc	etc	X
fcis-3743	15	31	.	.	X
fcis-3743	15	32	,	,	PUNCT
fcis-3743	15	33	and	and	CCONJ
fcis-3743	15	34	matrix	matrix	NOUN
fcis-3743	15	35	analysis	analysis	NOUN
fcis-3743	15	36	is	be	AUX
fcis-3743	15	37	mainly	mainly	ADV
fcis-3743	15	38	used	use	VERB
fcis-3743	15	39	to	to	PART
fcis-3743	15	40	solve	solve	VERB
fcis-3743	15	41	problems	problem	NOUN
fcis-3743	16	1	[	[	X
fcis-3743	16	2	4	4	NUM
fcis-3743	16	3	]	]	PUNCT
fcis-3743	16	4	.	.	PUNCT
fcis-3743	17	1	no	no	ADV
fcis-3743	17	2	matter	matter	ADV
fcis-3743	17	3	what	what	DET
fcis-3743	17	4	kind	kind	NOUN
fcis-3743	17	5	of	of	ADP
fcis-3743	17	6	practical	practical	ADJ
fcis-3743	17	7	problems	problem	NOUN
fcis-3743	17	8	are	be	AUX
fcis-3743	17	9	solved	solve	VERB
fcis-3743	17	10	by	by	ADP
fcis-3743	17	11	mathematical	mathematical	ADJ
fcis-3743	17	12	methods	method	NOUN
fcis-3743	17	13	,	,	PUNCT
fcis-3743	17	14	the	the	DET
fcis-3743	17	15	establishment	establishment	NOUN
fcis-3743	17	16	of	of	ADP
fcis-3743	17	17	mathematical	mathematical	ADJ
fcis-3743	17	18	models	model	NOUN
fcis-3743	17	19	is	be	AUX
fcis-3743	17	20	a	a	DET
fcis-3743	17	21	crucial	crucial	ADJ
fcis-3743	17	22	step	step	NOUN
fcis-3743	17	23	,	,	PUNCT
fcis-3743	17	24	and	and	CCONJ
fcis-3743	17	25	it	it	PRON
fcis-3743	17	26	is	be	AUX
fcis-3743	17	27	also	also	ADV
fcis-3743	17	28	a	a	DET
fcis-3743	17	29	very	very	ADV
fcis-3743	17	30	difficult	difficult	ADJ
fcis-3743	17	31	step	step	NOUN
fcis-3743	17	32	.	.	PUNCT
fcis-3743	18	1	by	by	ADP
fcis-3743	18	2	observing	observe	VERB
fcis-3743	18	3	and	and	CCONJ
fcis-3743	18	4	studying	study	VERB
fcis-3743	18	5	the	the	DET
fcis-3743	18	6	inherent	inherent	ADJ
fcis-3743	18	7	characteristics	characteristic	NOUN
fcis-3743	18	8	and	and	CCONJ
fcis-3743	18	9	laws	law	NOUN
fcis-3743	18	10	of	of	ADP
fcis-3743	18	11	practical	practical	ADJ
fcis-3743	18	12	objects	object	NOUN
fcis-3743	18	13	,	,	PUNCT
fcis-3743	18	14	we	we	PRON
fcis-3743	18	15	should	should	AUX
fcis-3743	18	16	grasp	grasp	VERB
fcis-3743	18	17	the	the	DET
fcis-3743	18	18	essence	essence	NOUN
fcis-3743	18	19	of	of	ADP
fcis-3743	18	20	things	thing	NOUN
fcis-3743	18	21	,	,	PUNCT
fcis-3743	18	22	establish	establish	VERB
fcis-3743	18	23	a	a	DET
fcis-3743	18	24	quantitative	quantitative	ADJ
fcis-3743	18	25	relationship	relationship	NOUN
fcis-3743	18	26	that	that	PRON
fcis-3743	18	27	reflects	reflect	VERB
fcis-3743	18	28	practical	practical	ADJ
fcis-3743	18	29	problems	problem	NOUN
fcis-3743	18	30	,	,	PUNCT
fcis-3743	18	31	and	and	CCONJ
fcis-3743	18	32	then	then	ADV
fcis-3743	18	33	use	use	VERB
fcis-3743	18	34	mathematical	mathematical	ADJ
fcis-3743	18	35	theories	theory	NOUN
fcis-3743	18	36	and	and	CCONJ
fcis-3743	18	37	methods	method	NOUN
fcis-3743	18	38	to	to	PART
fcis-3743	18	39	analyze	analyze	VERB
fcis-3743	18	40	and	and	CCONJ
fcis-3743	18	41	solve	solve	VERB
fcis-3743	18	42	problems	problem	NOUN
fcis-3743	18	43	[	[	X
fcis-3743	18	44	5	5	NUM
fcis-3743	18	45	]	]	PUNCT
fcis-3743	18	46	.	.	PUNCT
fcis-3743	19	1	it	it	PRON
fcis-3743	19	2	is	be	AUX
fcis-3743	19	3	one	one	NUM
fcis-3743	19	4	of	of	ADP
fcis-3743	19	5	the	the	DET
fcis-3743	19	6	most	most	ADV
fcis-3743	19	7	important	important	ADJ
fcis-3743	19	8	concepts	concept	NOUN
fcis-3743	19	9	in	in	ADP
fcis-3743	19	10	matrix	matrix	NOUN
fcis-3743	19	11	mathematics	mathematic	NOUN
fcis-3743	19	12	and	and	CCONJ
fcis-3743	19	13	an	an	DET
fcis-3743	19	14	important	important	ADJ
fcis-3743	19	15	mathematical	mathematical	ADJ
fcis-3743	19	16	tool	tool	NOUN
fcis-3743	19	17	.	.	PUNCT
fcis-3743	20	1	it	it	PRON
fcis-3743	20	2	is	be	AUX
fcis-3743	20	3	widely	widely	ADV
fcis-3743	20	4	used	use	VERB
fcis-3743	20	5	in	in	ADP
fcis-3743	20	6	various	various	ADJ
fcis-3743	20	7	branches	branch	NOUN
fcis-3743	20	8	of	of	ADP
fcis-3743	20	9	natural	natural	ADJ
fcis-3743	20	10	science	science	NOUN
fcis-3743	21	1	[	[	X
fcis-3743	21	2	6	6	NUM
fcis-3743	21	3	]	]	PUNCT
fcis-3743	21	4	.	.	PUNCT
fcis-3743	22	1	matrix	matrix	NOUN
fcis-3743	22	2	is	be	AUX
fcis-3743	22	3	also	also	ADV
fcis-3743	22	4	widely	widely	ADV
fcis-3743	22	5	used	use	VERB
fcis-3743	22	6	in	in	ADP
fcis-3743	22	7	mathematical	mathematical	ADJ
fcis-3743	22	8	modeling	modeling	NOUN
fcis-3743	22	9	,	,	PUNCT
fcis-3743	22	10	such	such	ADJ
fcis-3743	22	11	as	as	ADP
fcis-3743	22	12	mathematical	mathematical	ADJ
fcis-3743	22	13	programming	programming	NOUN
fcis-3743	22	14	model	model	NOUN
fcis-3743	22	15	,	,	PUNCT
fcis-3743	22	16	linear	linear	ADJ
fcis-3743	22	17	algebraic	algebraic	ADJ
fcis-3743	22	18	model	model	NOUN
fcis-3743	22	19	,	,	PUNCT
fcis-3743	22	20	differential	differential	ADJ
fcis-3743	22	21	equation	equation	NOUN
fcis-3743	22	22	model	model	NOUN
fcis-3743	22	23	and	and	CCONJ
fcis-3743	22	24	data	datum	NOUN
fcis-3743	22	25	fitting	fitting	ADJ
fcis-3743	22	26	.	.	PUNCT
fcis-3743	23	1	with	with	ADP
fcis-3743	23	2	the	the	DET
fcis-3743	23	3	deepening	deepening	NOUN
fcis-3743	23	4	of	of	ADP
fcis-3743	23	5	scientific	scientific	ADJ
fcis-3743	23	6	research	research	NOUN
fcis-3743	23	7	,	,	PUNCT
fcis-3743	23	8	the	the	DET
fcis-3743	23	9	application	application	NOUN
fcis-3743	23	10	of	of	ADP
fcis-3743	23	11	matrix	matrix	NOUN
fcis-3743	23	12	theory	theory	NOUN
fcis-3743	23	13	is	be	AUX
fcis-3743	23	14	more	more	ADV
fcis-3743	23	15	and	and	CCONJ
fcis-3743	23	16	more	more	ADV
fcis-3743	23	17	extensive	extensive	ADJ
fcis-3743	23	18	[	[	X
fcis-3743	23	19	7	7	NUM
fcis-3743	23	20	]	]	PUNCT
fcis-3743	23	21	.	.	PUNCT
fcis-3743	24	1	it	it	PRON
fcis-3743	24	2	plays	play	VERB
fcis-3743	24	3	an	an	DET
fcis-3743	24	4	irreplaceable	irreplaceable	ADJ
fcis-3743	24	5	role	role	NOUN
fcis-3743	24	6	in	in	ADP
fcis-3743	24	7	many	many	ADJ
fcis-3743	24	8	disciplines	discipline	NOUN
fcis-3743	24	9	and	and	CCONJ
fcis-3743	24	10	fields	field	NOUN
fcis-3743	24	11	,	,	PUNCT
fcis-3743	24	12	such	such	ADJ
fcis-3743	24	13	as	as	ADP
fcis-3743	24	14	the	the	DET
fcis-3743	24	15	first	first	ADJ
fcis-3743	24	16	-	-	PUNCT
fcis-3743	24	17	order	order	NOUN
fcis-3743	24	18	approximation	approximation	NOUN
fcis-3743	24	19	of	of	ADP
fcis-3743	24	20	multivariate	multivariate	NOUN
fcis-3743	24	21	functions	function	NOUN
fcis-3743	24	22	in	in	ADP
fcis-3743	24	23	mathematical	mathematical	ADJ
fcis-3743	24	24	analysis	analysis	NOUN
fcis-3743	24	25	and	and	CCONJ
fcis-3743	24	26	the	the	DET
fcis-3743	24	27	existence	existence	NOUN
fcis-3743	24	28	theorem	theorem	NOUN
fcis-3743	24	29	of	of	ADP
fcis-3743	24	30	implicit	implicit	ADJ
fcis-3743	24	31	functions	function	NOUN
fcis-3743	24	32	are	be	AUX
fcis-3743	24	33	closely	closely	ADV
fcis-3743	24	34	related	relate	VERB
fcis-3743	24	35	to	to	ADP
fcis-3743	24	36	matrix	matrix	VERB
fcis-3743	24	37	theory	theory	NOUN
fcis-3743	24	38	[	[	X
fcis-3743	24	39	8	8	NUM
fcis-3743	24	40	]	]	PUNCT
fcis-3743	24	41	.	.	PUNCT
fcis-3743	25	1	matrix	matrix	NOUN
fcis-3743	25	2	is	be	AUX
fcis-3743	25	3	a	a	DET
fcis-3743	25	4	numerical	numerical	ADJ
fcis-3743	25	5	table	table	NOUN
fcis-3743	25	6	,	,	PUNCT
fcis-3743	25	7	and	and	CCONJ
fcis-3743	25	8	the	the	DET
fcis-3743	25	9	data	datum	NOUN
fcis-3743	25	10	in	in	ADP
fcis-3743	25	11	the	the	DET
fcis-3743	25	12	table	table	NOUN
fcis-3743	25	13	can	can	AUX
fcis-3743	25	14	be	be	AUX
fcis-3743	25	15	operated	operate	VERB
fcis-3743	25	16	and	and	CCONJ
fcis-3743	25	17	transformed	transform	VERB
fcis-3743	25	18	by	by	ADP
fcis-3743	25	19	algebraic	algebraic	ADJ
fcis-3743	25	20	methods	method	NOUN
fcis-3743	25	21	.	.	PUNCT
fcis-3743	26	1	it	it	PRON
fcis-3743	26	2	can	can	AUX
fcis-3743	26	3	simplify	simplify	VERB
fcis-3743	26	4	complex	complex	ADJ
fcis-3743	26	5	and	and	CCONJ
fcis-3743	26	6	abstract	abstract	ADJ
fcis-3743	26	7	practical	practical	ADJ
fcis-3743	26	8	problems	problem	NOUN
fcis-3743	26	9	,	,	PUNCT
fcis-3743	26	10	so	so	SCONJ
fcis-3743	26	11	that	that	SCONJ
fcis-3743	26	12	we	we	PRON
fcis-3743	26	13	can	can	AUX
fcis-3743	26	14	see	see	VERB
fcis-3743	26	15	the	the	DET
fcis-3743	26	16	essence	essence	NOUN
fcis-3743	26	17	of	of	ADP
fcis-3743	26	18	practical	practical	ADJ
fcis-3743	26	19	problems	problem	NOUN
fcis-3743	26	20	clearly	clearly	ADV
fcis-3743	26	21	.	.	PUNCT
fcis-3743	27	1	therefore	therefore	ADV
fcis-3743	27	2	,	,	PUNCT
fcis-3743	27	3	the	the	DET
fcis-3743	27	4	use	use	NOUN
fcis-3743	27	5	of	of	ADP
fcis-3743	27	6	matrix	matrix	NOUN
fcis-3743	27	7	in	in	ADP
fcis-3743	27	8	solving	solve	VERB
fcis-3743	27	9	practical	practical	ADJ
fcis-3743	27	10	problems	problem	NOUN
fcis-3743	27	11	will	will	AUX
fcis-3743	27	12	often	often	ADV
fcis-3743	27	13	get	get	VERB
fcis-3743	27	14	twice	twice	DET
fcis-3743	27	15	the	the	DET
fcis-3743	27	16	result	result	NOUN
fcis-3743	27	17	with	with	ADP
fcis-3743	27	18	half	half	DET
fcis-3743	27	19	the	the	DET
fcis-3743	27	20	effort	effort	NOUN
fcis-3743	27	21	[	[	X
fcis-3743	27	22	9	9	NUM
fcis-3743	27	23	]	]	PUNCT
fcis-3743	27	24	.	.	PUNCT
fcis-3743	28	1	there	there	PRON
fcis-3743	28	2	are	be	VERB
fcis-3743	28	3	countless	countless	ADJ
fcis-3743	28	4	examples	example	NOUN
fcis-3743	28	5	of	of	ADP
fcis-3743	28	6	the	the	DET
fcis-3743	28	7	application	application	NOUN
fcis-3743	28	8	of	of	ADP
fcis-3743	28	9	matrix	matrix	NOUN
fcis-3743	28	10	theory	theory	NOUN
fcis-3743	28	11	in	in	ADP
fcis-3743	28	12	other	other	ADJ
fcis-3743	28	13	mathematical	mathematical	ADJ
fcis-3743	28	14	disciplines	discipline	NOUN
fcis-3743	28	15	and	and	CCONJ
fcis-3743	28	16	research	research	NOUN
fcis-3743	28	17	fields	field	NOUN
fcis-3743	28	18	.	.	PUNCT
fcis-3743	29	1	therefore	therefore	ADV
fcis-3743	29	2	,	,	PUNCT
fcis-3743	29	3	we	we	PRON
fcis-3743	29	4	should	should	AUX
fcis-3743	29	5	not	not	PART
fcis-3743	29	6	study	study	VERB
fcis-3743	29	7	it	it	PRON
fcis-3743	29	8	independently	independently	ADV
fcis-3743	29	9	,	,	PUNCT
fcis-3743	29	10	but	but	CCONJ
fcis-3743	29	11	apply	apply	VERB
fcis-3743	29	12	it	it	PRON
fcis-3743	29	13	to	to	ADP
fcis-3743	29	14	other	other	ADJ
fcis-3743	29	15	mathematics	mathematic	NOUN
fcis-3743	29	16	courses	course	NOUN
fcis-3743	29	17	and	and	CCONJ
fcis-3743	29	18	combine	combine	VERB
fcis-3743	29	19	them	they	PRON
fcis-3743	29	20	organically	organically	ADV
fcis-3743	29	21	,	,	PUNCT
fcis-3743	29	22	so	so	SCONJ
fcis-3743	29	23	as	as	SCONJ
fcis-3743	29	24	to	to	PART
fcis-3743	29	25	deepen	deepen	VERB
fcis-3743	29	26	our	our	PRON
fcis-3743	29	27	understanding	understanding	NOUN
fcis-3743	29	28	of	of	ADP
fcis-3743	29	29	higher	high	ADJ
fcis-3743	29	30	algebra	algebra	NOUN
fcis-3743	29	31	.	.	PUNCT
fcis-3743	30	1	in	in	ADP
fcis-3743	30	2	this	this	DET
fcis-3743	30	3	paper	paper	NOUN
fcis-3743	30	4	,	,	PUNCT
fcis-3743	30	5	the	the	DET
fcis-3743	30	6	application	application	NOUN
fcis-3743	30	7	of	of	ADP
fcis-3743	30	8	adjacency	adjacency	NOUN
fcis-3743	30	9	matrix	matrix	NOUN
fcis-3743	30	10	in	in	ADP
fcis-3743	30	11	mathematical	mathematical	ADJ
fcis-3743	30	12	modeling	modeling	NOUN
fcis-3743	30	13	is	be	AUX
fcis-3743	30	14	analyzed	analyze	VERB
fcis-3743	30	15	and	and	CCONJ
fcis-3743	30	16	studied	study	VERB
fcis-3743	30	17	,	,	PUNCT
fcis-3743	30	18	and	and	CCONJ
fcis-3743	30	19	on	on	ADP
fcis-3743	30	20	this	this	DET
fcis-3743	30	21	basis	basis	NOUN
fcis-3743	30	22	,	,	PUNCT
fcis-3743	30	23	the	the	DET
fcis-3743	30	24	application	application	NOUN
fcis-3743	30	25	of	of	ADP
fcis-3743	30	26	matrix	matrix	NOUN
fcis-3743	30	27	in	in	ADP
fcis-3743	30	28	mathematical	mathematical	ADJ
fcis-3743	30	29	modeling	modeling	NOUN
fcis-3743	30	30	is	be	AUX
fcis-3743	30	31	further	far	ADV
fcis-3743	30	32	studied	study	VERB
fcis-3743	30	33	and	and	CCONJ
fcis-3743	30	34	popularized	popularize	VERB
fcis-3743	30	35	.	.	PUNCT
fcis-3743	31	1	2	2	X
fcis-3743	31	2	.	.	NUM
fcis-3743	31	3	heterogeneous	heterogeneous	ADJ
fcis-3743	31	4	modal	modal	ADJ
fcis-3743	31	5	data	datum	NOUN
fcis-3743	31	6	denoising	denoise	VERB
fcis-3743	31	7	with	with	ADP
fcis-3743	31	8	the	the	DET
fcis-3743	31	9	rapid	rapid	ADJ
fcis-3743	31	10	development	development	NOUN
fcis-3743	31	11	of	of	ADP
fcis-3743	31	12	computer	computer	NOUN
fcis-3743	31	13	and	and	CCONJ
fcis-3743	31	14	the	the	DET
fcis-3743	31	15	arrival	arrival	NOUN
fcis-3743	31	16	of	of	ADP
fcis-3743	31	17	information	information	NOUN
fcis-3743	31	18	age	age	NOUN
fcis-3743	31	19	,	,	PUNCT
fcis-3743	31	20	people	people	NOUN
fcis-3743	31	21	pay	pay	VERB
fcis-3743	31	22	more	more	ADJ
fcis-3743	31	23	and	and	CCONJ
fcis-3743	31	24	more	more	ADJ
fcis-3743	31	25	attention	attention	NOUN
fcis-3743	31	26	to	to	ADP
fcis-3743	31	27	quantitative	quantitative	ADJ
fcis-3743	31	28	research	research	NOUN
fcis-3743	31	29	in	in	ADP
fcis-3743	31	30	most	most	ADJ
fcis-3743	31	31	research	research	NOUN
fcis-3743	31	32	fields	field	NOUN
fcis-3743	31	33	.	.	PUNCT
fcis-3743	32	1	it	it	PRON
fcis-3743	32	2	can	can	AUX
fcis-3743	32	3	be	be	AUX
fcis-3743	32	4	said	say	VERB
fcis-3743	32	5	that	that	SCONJ
fcis-3743	32	6	the	the	DET
fcis-3743	32	7	development	development	NOUN
fcis-3743	32	8	of	of	ADP
fcis-3743	32	9	any	any	DET
fcis-3743	32	10	discipline	discipline	NOUN
fcis-3743	32	11	is	be	AUX
fcis-3743	32	12	closely	closely	ADV
fcis-3743	32	13	related	relate	VERB
fcis-3743	32	14	to	to	ADP
fcis-3743	32	15	quantitative	quantitative	ADJ
fcis-3743	32	16	analysis	analysis	NOUN
fcis-3743	32	17	and	and	CCONJ
fcis-3743	32	18	research	research	NOUN
fcis-3743	32	19	,	,	PUNCT
fcis-3743	32	20	and	and	CCONJ
fcis-3743	32	21	mathematics	mathematic	NOUN
fcis-3743	32	22	plays	play	VERB
fcis-3743	32	23	a	a	DET
fcis-3743	32	24	vital	vital	ADJ
fcis-3743	32	25	role	role	NOUN
fcis-3743	32	26	in	in	ADP
fcis-3743	32	27	quantitative	quantitative	ADJ
fcis-3743	32	28	research	research	NOUN
fcis-3743	33	1	[	[	X
fcis-3743	33	2	10	10	NUM
fcis-3743	33	3	]	]	PUNCT
fcis-3743	33	4	.	.	PUNCT
fcis-3743	34	1	matrix	matrix	NOUN
fcis-3743	34	2	theory	theory	NOUN
fcis-3743	34	3	is	be	AUX
fcis-3743	34	4	the	the	DET
fcis-3743	34	5	core	core	ADJ
fcis-3743	34	6	content	content	NOUN
fcis-3743	34	7	of	of	ADP
fcis-3743	34	8	higher	high	ADJ
fcis-3743	34	9	algebra	algebra	NOUN
fcis-3743	34	10	,	,	PUNCT
fcis-3743	34	11	and	and	CCONJ
fcis-3743	34	12	many	many	ADJ
fcis-3743	34	13	ideas	idea	NOUN
fcis-3743	34	14	and	and	CCONJ
fcis-3743	34	15	methods	method	NOUN
fcis-3743	34	16	in	in	ADP
fcis-3743	34	17	matrix	matrix	NOUN
fcis-3743	34	18	theory	theory	NOUN
fcis-3743	34	19	greatly	greatly	ADV
fcis-3743	34	20	enrich	enrich	VERB
fcis-3743	34	21	the	the	DET
fcis-3743	34	22	algebraic	algebraic	ADJ
fcis-3743	34	23	theory	theory	NOUN
fcis-3743	34	24	of	of	ADP
fcis-3743	34	25	mathematics	mathematic	NOUN
fcis-3743	34	26	.	.	PUNCT
fcis-3743	35	1	when	when	SCONJ
fcis-3743	35	2	matrix	matrix	NOUN
fcis-3743	35	3	theory	theory	NOUN
fcis-3743	35	4	is	be	AUX
fcis-3743	35	5	applied	apply	VERB
fcis-3743	35	6	to	to	ADP
fcis-3743	35	7	these	these	DET
fcis-3743	35	8	mathematical	mathematical	ADJ
fcis-3743	35	9	disciplines	discipline	NOUN
fcis-3743	35	10	,	,	PUNCT
fcis-3743	35	11	such	such	ADJ
fcis-3743	35	12	as	as	ADP
fcis-3743	35	13	optimization	optimization	NOUN
fcis-3743	35	14	and	and	CCONJ
fcis-3743	35	15	graph	graph	NOUN
fcis-3743	35	16	theory	theory	NOUN
fcis-3743	35	17	,	,	PUNCT
fcis-3743	35	18	compared	compare	VERB
fcis-3743	35	19	with	with	ADP
fcis-3743	35	20	the	the	DET
fcis-3743	35	21	conventional	conventional	ADJ
fcis-3743	35	22	methods	method	NOUN
fcis-3743	35	23	,	,	PUNCT
fcis-3743	35	24	it	it	PRON
fcis-3743	35	25	often	often	ADV
fcis-3743	35	26	has	have	VERB
fcis-3743	35	27	unique	unique	ADJ
fcis-3743	35	28	effects	effect	NOUN
fcis-3743	35	29	and	and	CCONJ
fcis-3743	35	30	makes	make	VERB
fcis-3743	35	31	many	many	ADJ
fcis-3743	35	32	problems	problem	NOUN
fcis-3743	35	33	simple	simple	ADJ
fcis-3743	35	34	and	and	CCONJ
fcis-3743	35	35	clear	clear	ADJ
fcis-3743	35	36	.	.	PUNCT
fcis-3743	36	1	assume	assume	VERB
fcis-3743	36	2	that	that	SCONJ
fcis-3743	36	3	the	the	DET
fcis-3743	36	4	one	one	NUM
fcis-3743	36	5	-	-	PUNCT
fcis-3743	36	6	dimensional	dimensional	ADJ
fcis-3743	36	7	integrated	integrate	VERB
fcis-3743	36	8	network	network	NOUN
fcis-3743	36	9	signal	signal	NOUN
fcis-3743	36	10	function	function	NOUN
fcis-3743	36	11	(	(	PUNCT
fcis-3743	36	12	)	)	PUNCT
fcis-3743	36	13	xf	xf	PROPN
fcis-3743	36	14	is	be	AUX
fcis-3743	36	15	projected	project	VERB
fcis-3743	36	16	onto	onto	ADP
fcis-3743	36	17	each	each	DET
fcis-3743	36	18	step	step	NOUN
fcis-3743	36	19	j	j	PROPN
fcis-3743	36	20	of	of	ADP
fcis-3743	36	21	the	the	DET
fcis-3743	36	22	subset	subset	NOUN
fcis-3743	36	23	(	(	PUNCT
fcis-3743	36	24	)	)	PUNCT
fcis-3743	36	25	012	012	NUM
fcis-3743	36	26	vvvv	vvvv	VERB
fcis-3743	36	27	j	j	NOUN
fcis-3743	36	28			NOUN
fcis-3743	36	29	.	.	PUNCT
fcis-3743	37	1	the	the	DET
fcis-3743	37	2	projection	projection	NOUN
fcis-3743	37	3	is	be	AUX
fcis-3743	37	4	set	set	VERB
fcis-3743	37	5	by	by	ADP
fcis-3743	37	6	integrating	integrate	VERB
fcis-3743	37	7	the	the	DET
fcis-3743	37	8	scale	scale	NOUN
fcis-3743	37	9	product	product	NOUN
fcis-3743	37	10	kjc	kjc	PROPN
fcis-3743	37	11	,	,	PUNCT
fcis-3743	37	12	of	of	ADP
fcis-3743	37	13	the	the	DET
fcis-3743	37	14	network	network	NOUN
fcis-3743	37	15	signal	signal	NOUN
fcis-3743	37	16	function	function	NOUN
fcis-3743	37	17	(	(	PUNCT
fcis-3743	37	18	)	)	PUNCT
fcis-3743	37	19	xf	xf	PROPN
fcis-3743	37	20	and	and	CCONJ
fcis-3743	37	21	the	the	DET
fcis-3743	37	22	scale	scale	NOUN
fcis-3743	37	23	function	function	NOUN
fcis-3743	37	24	(	(	PUNCT
fcis-3743	37	25	)	)	PUNCT
fcis-3743	37	26	xkj	xkj	PROPN
fcis-3743	37	27	,	,	PUNCT
fcis-3743	37	28			PROPN
fcis-3743	37	29	,	,	PUNCT
fcis-3743	37	30	and	and	CCONJ
fcis-3743	37	31	the	the	DET
fcis-3743	37	32	projection	projection	NOUN
fcis-3743	37	33	setting	set	VERB
fcis-3743	37	34	formula	formula	NOUN
fcis-3743	37	35	is	be	AUX
fcis-3743	37	36	:	:	PUNCT
fcis-3743	37	37	(	(	PUNCT
fcis-3743	37	38	)	)	PUNCT
fcis-3743	37	39	(	(	PUNCT
fcis-3743	37	40	)	)	PUNCT
fcis-3743	37	41	xxfc	xxfc	PROPN
fcis-3743	37	42	kjkj	kjkj	VERB
fcis-3743	37	43	,	,	PUNCT
fcis-3743	37	44	,	,	PUNCT
fcis-3743	37	45	,	,	PUNCT
fcis-3743	37	46	=	=	NUM
fcis-3743	37	47	(	(	PUNCT
fcis-3743	37	48	1	1	NUM
fcis-3743	37	49	)	)	PUNCT
fcis-3743	37	50	(	(	PUNCT
fcis-3743	37	51	)	)	PUNCT
fcis-3743	37	52	(	(	PUNCT
fcis-3743	37	53	)	)	PUNCT
fcis-3743	37	54	kxx	kxx	PROPN
fcis-3743	37	55	jk	jk	PROPN
fcis-3743	37	56	kj	kj	PROPN
fcis-3743	37	57	−=	−=	PROPN
fcis-3743	37	58	−−	−−	PROPN
fcis-3743	37	59	22	22	NUM
fcis-3743	37	60	,	,	PUNCT
fcis-3743	37	61			PROPN
fcis-3743	37	62	(	(	PUNCT
fcis-3743	37	63	2	2	NUM
fcis-3743	37	64	)	)	PUNCT
fcis-3743	38	1	where	where	SCONJ
fcis-3743	38	2	:	:	PUNCT
fcis-3743	38	3	(	(	PUNCT
fcis-3743	38	4	)	)	PUNCT
fcis-3743	38	5	x	x	X
fcis-3743	38	6	stands	stand	VERB
fcis-3743	38	7	for	for	ADP
fcis-3743	38	8	low	low	ADJ
fcis-3743	38	9	-	-	PUNCT
fcis-3743	38	10	pass	pass	NOUN
fcis-3743	38	11	filter	filter	NOUN
fcis-3743	38	12	,	,	PUNCT
fcis-3743	38	13	also	also	ADV
fcis-3743	38	14	called	call	VERB
fcis-3743	38	15	scaling	scale	VERB
fcis-3743	38	16	function	function	NOUN
fcis-3743	38	17	.	.	PUNCT
fcis-3743	39	1	assuming	assume	VERB
fcis-3743	39	2	(	(	PUNCT
fcis-3743	39	3	)	)	PUNCT
fcis-3743	39	4	xh	xh	PROPN
fcis-3743	39	5	represents	represent	VERB
fcis-3743	39	6	a	a	DET
fcis-3743	39	7	wavelet	wavelet	NOUN
fcis-3743	39	8	20	20	NUM
fcis-3743	39	9	function	function	NOUN
fcis-3743	39	10	,	,	PUNCT
fcis-3743	39	11	the	the	DET
fcis-3743	39	12	scaling	scale	VERB
fcis-3743	39	13	function	function	NOUN
fcis-3743	39	14	(	(	PUNCT
fcis-3743	39	15	)	)	PUNCT
fcis-3743	39	16	x	x	PROPN
fcis-3743	39	17	can	can	AUX
fcis-3743	39	18	be	be	AUX
fcis-3743	39	19	expressed	express	VERB
fcis-3743	39	20	as	as	SCONJ
fcis-3743	39	21	follows	follow	VERB
fcis-3743	39	22	:	:	PUNCT
fcis-3743	39	23	(	(	PUNCT
fcis-3743	39	24	)	)	PUNCT
fcis-3743	39	25	(	(	PUNCT
fcis-3743	39	26	)	)	PUNCT
fcis-3743	39	27			PROPN
fcis-3743	39	28	−=	−=	NOUN
fcis-3743	39	29			NOUN
fcis-3743	39	30			PROPN
fcis-3743	39	31			PROPN
fcis-3743	39	32			PROPN
fcis-3743	39	33			NOUN
fcis-3743	40	1	x	x	PUNCT
fcis-3743	40	2	nxxh	nxxh	ADJ
fcis-3743	40	3	x	x	PUNCT
fcis-3743	40	4			ADJ
fcis-3743	40	5	22	22	NUM
fcis-3743	40	6	1	1	NUM
fcis-3743	40	7	(	(	PUNCT
fcis-3743	40	8	3	3	NUM
fcis-3743	40	9	)	)	PUNCT
fcis-3743	40	10	kjc	kjc	NOUN
fcis-3743	40	11	,	,	PUNCT
fcis-3743	40	12	1	1	NUM
fcis-3743	40	13	+	+	CCONJ
fcis-3743	40	14	can	can	AUX
fcis-3743	40	15	be	be	AUX
fcis-3743	40	16	solved	solve	VERB
fcis-3743	40	17	by	by	ADP
fcis-3743	40	18	kjc	kjc	PROPN
fcis-3743	40	19	,	,	PUNCT
fcis-3743	40	20	:	:	PUNCT
fcis-3743	40	21	(	(	PUNCT
fcis-3743	40	22	)	)	PUNCT
fcis-3743	40	23	=+	=+	NUM
fcis-3743	41	1	n	n	CCONJ
fcis-3743	41	2	kjkj	kjkj	VERB
fcis-3743	41	3	cnhc	cnhc	NOUN
fcis-3743	41	4	,	,	PUNCT
fcis-3743	41	5	,	,	PUNCT
fcis-3743	41	6	1	1	NUM
fcis-3743	41	7	(	(	PUNCT
fcis-3743	41	8	4	4	NUM
fcis-3743	41	9	)	)	PUNCT
fcis-3743	41	10	the	the	DET
fcis-3743	41	11	scale	scale	NOUN
fcis-3743	41	12	product	product	NOUN
fcis-3743	41	13	of	of	ADP
fcis-3743	41	14	wavelet	wavelet	NOUN
fcis-3743	41	15	coefficient	coefficient	PROPN
fcis-3743	41	16	kjw	kjw	PROPN
fcis-3743	41	17	,	,	PUNCT
fcis-3743	41	18	can	can	AUX
fcis-3743	41	19	be	be	AUX
fcis-3743	41	20	expressed	express	VERB
fcis-3743	41	21	as	as	ADP
fcis-3743	41	22	:	:	PUNCT
fcis-3743	41	23	(	(	PUNCT
fcis-3743	41	24	)	)	PUNCT
fcis-3743	41	25			PROPN
fcis-3743	41	26	−=	−=	VERB
fcis-3743	41	27	k	k	PROPN
fcis-3743	41	28	kjkj	kjkj	PROPN
fcis-3743	41	29	ckngw	ckngw	PROPN
fcis-3743	41	30	,	,	PUNCT
fcis-3743	41	31	,	,	PUNCT
fcis-3743	41	32	2	2	NUM
fcis-3743	41	33	(	(	PUNCT
fcis-3743	41	34	5	5	NUM
fcis-3743	41	35	)	)	PUNCT
fcis-3743	41	36	(	(	PUNCT
fcis-3743	41	37	)	)	PUNCT
fcis-3743	41	38	kng	kng	PROPN
fcis-3743	41	39	2−	2−	NUM
fcis-3743	41	40	wavelet	wavelet	NOUN
fcis-3743	41	41	coefficient	coefficient	NOUN
fcis-3743	41	42	set	set	VERB
fcis-3743	41	43	.	.	PUNCT
fcis-3743	42	1	and	and	CCONJ
fcis-3743	42	2	so	so	ADV
fcis-3743	42	3	on	on	ADV
fcis-3743	42	4	until	until	ADP
fcis-3743	42	5	the	the	DET
fcis-3743	42	6	length	length	NOUN
fcis-3743	42	7	of	of	ADP
fcis-3743	42	8	the	the	DET
fcis-3743	42	9	one	one	NUM
fcis-3743	42	10	-	-	PUNCT
fcis-3743	42	11	dimensional	dimensional	ADJ
fcis-3743	42	12	integrated	integrate	VERB
fcis-3743	42	13	network	network	NOUN
fcis-3743	42	14	signal	signal	NOUN
fcis-3743	42	15	function	function	NOUN
fcis-3743	42	16	(	(	PUNCT
fcis-3743	42	17	)	)	PUNCT
fcis-3743	42	18	xf	xf	PROPN
fcis-3743	42	19	becomes	become	VERB
fcis-3743	42	20	1	1	NUM
fcis-3743	42	21	.	.	PUNCT
fcis-3743	42	22	transformations	transformation	NOUN
fcis-3743	42	23	other	other	ADJ
fcis-3743	42	24	than	than	ADP
fcis-3743	42	25	down	down	ADV
fcis-3743	42	26	sampling	sample	VERB
fcis-3743	42	27	need	need	VERB
fcis-3743	42	28	up	up	ADP
fcis-3743	42	29	sampling	sample	VERB
fcis-3743	42	30	before	before	ADP
fcis-3743	42	31	filtering	filter	VERB
fcis-3743	42	32	convolution	convolution	NOUN
fcis-3743	42	33	of	of	ADP
fcis-3743	42	34	each	each	DET
fcis-3743	42	35	scale	scale	NOUN
fcis-3743	42	36	,	,	PUNCT
fcis-3743	42	37	so	so	SCONJ
fcis-3743	42	38	that	that	SCONJ
fcis-3743	42	39	kjc	kjc	PROPN
fcis-3743	42	40	,	,	PUNCT
fcis-3743	42	41	1	1	NUM
fcis-3743	42	42	+	+	CCONJ
fcis-3743	42	43	and	and	CCONJ
fcis-3743	42	44	discrete	discrete	ADJ
fcis-3743	42	45	wavelet	wavelet	NOUN
fcis-3743	42	46	coefficients	coefficient	NOUN
fcis-3743	42	47	can	can	AUX
fcis-3743	42	48	be	be	AUX
fcis-3743	42	49	expressed	express	VERB
fcis-3743	42	50	as	as	ADP
fcis-3743	42	51	:	:	PUNCT
fcis-3743	42	52	(	(	PUNCT
fcis-3743	42	53	)	)	PUNCT
fcis-3743	42	54			X
fcis-3743	43	1	+	+	PUNCT
fcis-3743	43	2	+	+	X
fcis-3743	43	3	=	=	SYM
fcis-3743	43	4	l	l	NOUN
fcis-3743	43	5	jlkjkj	jlkjkj	NOUN
fcis-3743	43	6	clhc	clhc	VERB
fcis-3743	43	7	2,,1	2,,1	NUM
fcis-3743	43	8	(	(	PUNCT
fcis-3743	43	9	6	6	NUM
fcis-3743	43	10	)	)	PUNCT
fcis-3743	43	11	(	(	PUNCT
fcis-3743	43	12	)	)	PUNCT
fcis-3743	43	13			X
fcis-3743	44	1	+	+	PUNCT
fcis-3743	44	2	+	+	X
fcis-3743	44	3	=	=	SYM
fcis-3743	44	4	l	l	NOUN
fcis-3743	44	5	jlkjkj	jlkjkj	NOUN
fcis-3743	44	6	clgw	clgw	NOUN
fcis-3743	44	7	2,,1	2,,1	NUM
fcis-3743	44	8	(	(	PUNCT
fcis-3743	44	9	7	7	NUM
fcis-3743	44	10	)	)	PUNCT
fcis-3743	44	11	where	where	SCONJ
fcis-3743	44	12	l	l	NOUN
fcis-3743	44	13	represents	represent	VERB
fcis-3743	44	14	the	the	DET
fcis-3743	44	15	maximum	maximum	ADJ
fcis-3743	44	16	step	step	NOUN
fcis-3743	44	17	of	of	ADP
fcis-3743	44	18	the	the	DET
fcis-3743	44	19	subset	subset	NOUN
fcis-3743	44	20	(	(	PUNCT
fcis-3743	44	21	)	)	PUNCT
fcis-3743	44	22	012	012	NUM
fcis-3743	44	23	vvvvj	vvvvj	VERB
fcis-3743	44	24			NOUN
fcis-3743	44	25	.	.	PUNCT
fcis-3743	45	1	the	the	DET
fcis-3743	45	2	redundancy	redundancy	NOUN
fcis-3743	45	3	of	of	ADP
fcis-3743	45	4	this	this	DET
fcis-3743	45	5	wavelet	wavelet	NOUN
fcis-3743	45	6	transform	transform	NOUN
fcis-3743	45	7	is	be	AUX
fcis-3743	45	8	helpful	helpful	ADJ
fcis-3743	45	9	to	to	PART
fcis-3743	45	10	highlight	highlight	VERB
fcis-3743	45	11	the	the	DET
fcis-3743	45	12	characteristics	characteristic	NOUN
fcis-3743	45	13	of	of	ADP
fcis-3743	45	14	data	datum	NOUN
fcis-3743	45	15	signals	signal	NOUN
fcis-3743	45	16	,	,	PUNCT
fcis-3743	45	17	especially	especially	ADV
fcis-3743	45	18	in	in	ADP
fcis-3743	45	19	noise	noise	NOUN
fcis-3743	45	20	extraction	extraction	NOUN
fcis-3743	45	21	.	.	PUNCT
fcis-3743	46	1	3	3	X
fcis-3743	46	2	.	.	X
fcis-3743	46	3	estimation	estimation	NOUN
fcis-3743	46	4	of	of	ADP
fcis-3743	46	5	matrix	matrix	NOUN
fcis-3743	46	6	eigenvalue	eigenvalue	VERB
fcis-3743	46	7	the	the	DET
fcis-3743	46	8	traditional	traditional	ADJ
fcis-3743	46	9	error	error	NOUN
fcis-3743	46	10	bound	bind	VERB
fcis-3743	46	11	estimation	estimation	NOUN
fcis-3743	46	12	of	of	ADP
fcis-3743	46	13	matrix	matrix	NOUN
fcis-3743	46	14	eigenvalues	eigenvalue	NOUN
fcis-3743	46	15	is	be	AUX
fcis-3743	46	16	described	describe	VERB
fcis-3743	46	17	as	as	ADP
fcis-3743	46	18	the	the	DET
fcis-3743	46	19	distance	distance	NOUN
fcis-3743	46	20	between	between	ADP
fcis-3743	46	21	the	the	DET
fcis-3743	46	22	eigenvalues	eigenvalue	NOUN
fcis-3743	46	23	of	of	ADP
fcis-3743	46	24	the	the	DET
fcis-3743	46	25	original	original	ADJ
fcis-3743	46	26	matrix	matrix	NOUN
fcis-3743	46	27	and	and	CCONJ
fcis-3743	46	28	the	the	DET
fcis-3743	46	29	eigenvalues	eigenvalue	NOUN
fcis-3743	46	30	of	of	ADP
fcis-3743	46	31	the	the	DET
fcis-3743	46	32	disturbance	disturbance	NOUN
fcis-3743	46	33	matrix	matrix	NOUN
fcis-3743	46	34	.	.	PUNCT
fcis-3743	47	1	the	the	DET
fcis-3743	47	2	characteristic	characteristic	ADJ
fcis-3743	47	3	coefficient	coefficient	NOUN
fcis-3743	47	4	of	of	ADP
fcis-3743	47	5	polynomial	polynomial	ADJ
fcis-3743	47	6	plays	play	VERB
fcis-3743	47	7	a	a	DET
fcis-3743	47	8	key	key	ADJ
fcis-3743	47	9	role	role	NOUN
fcis-3743	47	10	in	in	ADP
fcis-3743	47	11	the	the	DET
fcis-3743	47	12	application	application	NOUN
fcis-3743	47	13	of	of	ADP
fcis-3743	47	14	quantum	quantum	ADJ
fcis-3743	47	15	physics	physics	NOUN
fcis-3743	47	16	,	,	PUNCT
fcis-3743	47	17	especially	especially	ADV
fcis-3743	47	18	it	it	PRON
fcis-3743	47	19	provides	provide	VERB
fcis-3743	47	20	such	such	ADJ
fcis-3743	47	21	information	information	NOUN
fcis-3743	47	22	.	.	PUNCT
fcis-3743	48	1	if	if	SCONJ
fcis-3743	48	2	the	the	DET
fcis-3743	48	3	matrix	matrix	NOUN
fcis-3743	48	4	a	a	PRON
fcis-3743	48	5	is	be	AUX
fcis-3743	48	6	a	a	DET
fcis-3743	48	7	normal	normal	ADJ
fcis-3743	48	8	matrix	matrix	NOUN
fcis-3743	48	9	,	,	PUNCT
fcis-3743	48	10	the	the	DET
fcis-3743	48	11	binomial	binomial	ADJ
fcis-3743	48	12	value	value	NOUN
fcis-3743	48	13	becomes	become	VERB
fcis-3743	48	14	smaller	small	ADJ
fcis-3743	48	15	.	.	PUNCT
fcis-3743	49	1	at	at	ADP
fcis-3743	49	2	this	this	DET
fcis-3743	49	3	time	time	NOUN
fcis-3743	49	4	,	,	PUNCT
fcis-3743	49	5	the	the	DET
fcis-3743	49	6	elementary	elementary	ADJ
fcis-3743	49	7	symmetric	symmetric	ADJ
fcis-3743	49	8	function	function	NOUN
fcis-3743	49	9	is	be	AUX
fcis-3743	49	10	aimed	aim	VERB
fcis-3743	49	11	at	at	ADP
fcis-3743	49	12	all	all	DET
fcis-3743	49	13	singular	singular	ADJ
fcis-3743	49	14	values	value	NOUN
fcis-3743	49	15	instead	instead	ADV
fcis-3743	49	16	of	of	ADP
fcis-3743	49	17	the	the	DET
fcis-3743	49	18	maximum	maximum	ADJ
fcis-3743	49	19	value	value	NOUN
fcis-3743	49	20	,	,	PUNCT
fcis-3743	49	21	which	which	PRON
fcis-3743	49	22	can	can	AUX
fcis-3743	49	23	get	get	VERB
fcis-3743	49	24	better	well	ADJ
fcis-3743	49	25	coefficient	coefficient	NOUN
fcis-3743	49	26	constraints	constraint	NOUN
fcis-3743	49	27	.	.	PUNCT
fcis-3743	50	1	for	for	ADP
fcis-3743	50	2	the	the	DET
fcis-3743	50	3	lower	low	ADJ
fcis-3743	50	4	bound	bind	VERB
fcis-3743	50	5	of	of	ADP
fcis-3743	50	6	the	the	DET
fcis-3743	50	7	minimum	minimum	NOUN
fcis-3743	50	8	eigenvalue	eigenvalue	PROPN
fcis-3743	50	9	(	(	PUNCT
fcis-3743	50	10	)	)	PUNCT
fcis-3743	50	11	1−aaq	1−aaq	PROPN
fcis-3743	50	12	。	。	PUNCT
fcis-3743	50	13	of	of	ADP
fcis-3743	50	14	the	the	DET
fcis-3743	50	15	had	had	NOUN
fcis-3743	50	16	-	-	PUNCT
fcis-3743	50	17	amard	amard	NOUN
fcis-3743	50	18	product	product	NOUN
fcis-3743	50	19	of	of	ADP
fcis-3743	50	20	matrix	matrix	NOUN
fcis-3743	50	21	a	a	PRON
fcis-3743	50	22	and	and	CCONJ
fcis-3743	50	23	its	its	PRON
fcis-3743	50	24	inverse	inverse	NOUN
fcis-3743	50	25	1−a	1−a	NUM
fcis-3743	50	26	,	,	PUNCT
fcis-3743	50	27	it	it	PRON
fcis-3743	50	28	is	be	AUX
fcis-3743	50	29	obtained	obtain	VERB
fcis-3743	50	30	that	that	PRON
fcis-3743	50	31	:	:	PUNCT
fcis-3743	50	32	(	(	PUNCT
fcis-3743	50	33	)	)	PUNCT
fcis-3743	50	34	n	n	CCONJ
fcis-3743	50	35	aaq	aaq	PROPN
fcis-3743	50	36	11	11	NUM
fcis-3743	50	37	−	−	NOUN
fcis-3743	50	38	。	。	X
fcis-3743	50	39	(	(	PUNCT
fcis-3743	50	40	8)	8)	NUM
fcis-3743	50	41	and	and	CCONJ
fcis-3743	50	42	guess	guess	NOUN
fcis-3743	50	43	:	:	PUNCT
fcis-3743	50	44	(	(	PUNCT
fcis-3743	50	45	)	)	PUNCT
fcis-3743	50	46	n	n	CCONJ
fcis-3743	50	47	aaq	aaq	PROPN
fcis-3743	50	48	21	21	NUM
fcis-3743	50	49	−	−	NOUN
fcis-3743	50	50	。	。	X
fcis-3743	50	51	(	(	PUNCT
fcis-3743	50	52	9	9	NUM
fcis-3743	50	53	)	)	PUNCT
fcis-3743	50	54	when	when	SCONJ
fcis-3743	50	55	the	the	DET
fcis-3743	50	56	order	order	NOUN
fcis-3743	50	57	of	of	ADP
fcis-3743	50	58	a	a	DET
fcis-3743	50	59	matrix	matrix	NOUN
fcis-3743	50	60	is	be	AUX
fcis-3743	50	61	very	very	ADV
fcis-3743	50	62	large	large	ADJ
fcis-3743	50	63	,	,	PUNCT
fcis-3743	50	64	the	the	DET
fcis-3743	50	65	result	result	NOUN
fcis-3743	50	66	of	of	ADP
fcis-3743	50	67	this	this	DET
fcis-3743	50	68	estimation	estimation	NOUN
fcis-3743	50	69	formula	formula	NOUN
fcis-3743	50	70	is	be	AUX
fcis-3743	50	71	not	not	PART
fcis-3743	50	72	good	good	ADJ
fcis-3743	50	73	.	.	PUNCT
fcis-3743	51	1	improved	improve	VERB
fcis-3743	51	2	results	result	NOUN
fcis-3743	51	3	:	:	PUNCT
fcis-3743	51	4	(	(	PUNCT
fcis-3743	51	5	)	)	PUNCT
fcis-3743	51	6	(	(	PUNCT
fcis-3743	51	7	)	)	PUNCT
fcis-3743	51	8			PROPN
fcis-3743	51	9	(	(	PUNCT
fcis-3743	51	10	)	)	PUNCT
fcis-3743	51	11	(	(	PUNCT
fcis-3743	51	12	)	)	PUNCT
fcis-3743	51	13	(	(	PUNCT
fcis-3743	51	14	)	)	PUNCT
fcis-3743	51	15			PROPN
fcis-3743	52	1	2	2	NUM
fcis-3743	52	2	1	1	NUM
fcis-3743	52	3	2	2	NUM
fcis-3743	52	4	1	1	NUM
fcis-3743	52	5	21	21	NUM
fcis-3743	52	6	11	11	NUM
fcis-3743	52	7	1	1	NUM
fcis-3743	52	8	,	,	PUNCT
fcis-3743	52	9	1max	1max	NUM
fcis-3743	52	10	+	+	PUNCT
fcis-3743	53	1	+	+	ADP
fcis-3743	53	2	−	−	PROPN
fcis-3743	53	3	−+	−+	NOUN
fcis-3743	53	4	+	+	CCONJ
fcis-3743	53	5	−	−	PROPN
fcis-3743	53	6	n	n	CCONJ
fcis-3743	53	7	n	n	PROPN
fcis-3743	53	8	jn	jn	PROPN
fcis-3743	53	9	j	j	PROPN
fcis-3743	53	10	jaaq	jaaq	PROPN
fcis-3743	53	11			ADP
fcis-3743	53	12			ADP
fcis-3743	53	13			NOUN
fcis-3743	53	14	。	。	X
fcis-3743	53	15	(	(	PUNCT
fcis-3743	53	16	10	10	NUM
fcis-3743	53	17	)	)	PUNCT
fcis-3743	53	18	due	due	ADP
fcis-3743	53	19	to	to	ADP
fcis-3743	53	20	the	the	DET
fcis-3743	53	21	complexity	complexity	NOUN
fcis-3743	53	22	of	of	ADP
fcis-3743	53	23	(	(	PUNCT
fcis-3743	53	24	)	)	PUNCT
fcis-3743	53	25	j	j	ADJ
fcis-3743	53	26	calculation	calculation	NOUN
fcis-3743	53	27	,	,	PUNCT
fcis-3743	53	28	it	it	PRON
fcis-3743	53	29	is	be	AUX
fcis-3743	53	30	concluded	conclude	VERB
fcis-3743	53	31	from	from	ADP
fcis-3743	53	32	the	the	DET
fcis-3743	53	33	elements	element	NOUN
fcis-3743	53	34	of	of	ADP
fcis-3743	53	35	the	the	DET
fcis-3743	53	36	matrix	matrix	NOUN
fcis-3743	54	1	that	that	PRON
fcis-3743	54	2	:	:	PUNCT
fcis-3743	54	3	(	(	PUNCT
fcis-3743	54	4	)	)	PUNCT
fcis-3743	54	5			NUM
fcis-3743	54	6			X
fcis-3743	54	7			NUM
fcis-3743	54	8			NOUN
fcis-3743	54	9			PROPN
fcis-3743	54	10			NUM
fcis-3743	54	11			PROPN
fcis-3743	54	12			NUM
fcis-3743	54	13			NUM
fcis-3743	54	14			NOUN
fcis-3743	55	1	+	+	CCONJ
fcis-3743	55	2	−	−	PROPN
fcis-3743	55	3			NUM
fcis-3743	55	4			PROPN
fcis-3743	55	5			VERB
fcis-3743	55	6			NOUN
fcis-3743	55	7	−	−	PROPN
fcis-3743	55	8	ij	ij	INTJ
fcis-3743	55	9	ji	ji	PROPN
fcis-3743	55	10	iiii	iiii	PROPN
fcis-3743	55	11	ni	ni	PROPN
fcis-3743	55	12	s	s	PROPN
fcis-3743	55	13	rsa	rsa	PROPN
fcis-3743	55	14	aaq	aaq	PROPN
fcis-3743	55	15	1	1	NUM
fcis-3743	55	16	min1	min1	PROPN
fcis-3743	55	17	。	。	X
fcis-3743	55	18	(	(	PUNCT
fcis-3743	55	19	11	11	NUM
fcis-3743	55	20	)	)	PUNCT
fcis-3743	55	21	including	include	VERB
fcis-3743	55	22	:	:	PUNCT
fcis-3743	55	23			PROPN
fcis-3743	55	24			PROPN
fcis-3743	55	25	nissij	nissij	PROPN
fcis-3743	55	26	a	a	DET
fcis-3743	55	27	r	r	NOUN
fcis-3743	55	28	dar	dar	NOUN
fcis-3743	56	1	ij	ij	INTJ
fcis-3743	57	1	ij	ij	INTJ
fcis-3743	58	1	i	i	INTJ
fcis-3743	59	1	kk	kk	INTJ
fcis-3743	59	2	k	k	PROPN
fcis-3743	60	1	k	k	PROPN
fcis-3743	61	1	ij	ij	INTJ
fcis-3743	61	2	iji	iji	VERB
fcis-3743	61	3	=	=	X
fcis-3743	62	1	=	=	SYM
fcis-3743	62	2	=	=	SYM
fcis-3743	62	3			PROPN
fcis-3743	62	4			NOUN
fcis-3743	62	5			X
fcis-3743	62	6	,	,	PUNCT
fcis-3743	62	7	max	max	PROPN
fcis-3743	62	8	,	,	PUNCT
fcis-3743	62	9	,	,	PUNCT
fcis-3743	62	10	(	(	PUNCT
fcis-3743	62	11	12	12	NUM
fcis-3743	62	12	)	)	PUNCT
fcis-3743	62	13	4	4	NUM
fcis-3743	62	14	.	.	PUNCT
fcis-3743	62	15	feature	feature	NOUN
fcis-3743	62	16	extraction	extraction	NOUN
fcis-3743	62	17	of	of	ADP
fcis-3743	62	18	heterogeneous	heterogeneous	ADJ
fcis-3743	62	19	modal	modal	ADJ
fcis-3743	62	20	data	datum	NOUN
fcis-3743	62	21	in	in	ADP
fcis-3743	62	22	integrated	integrate	VERB
fcis-3743	62	23	networks	network	NOUN
fcis-3743	62	24	when	when	SCONJ
fcis-3743	62	25	the	the	DET
fcis-3743	62	26	number	number	NOUN
fcis-3743	62	27	of	of	ADP
fcis-3743	62	28	columns	column	NOUN
fcis-3743	62	29	in	in	ADP
fcis-3743	62	30	the	the	DET
fcis-3743	62	31	matrix	matrix	NOUN
fcis-3743	62	32	is	be	AUX
fcis-3743	62	33	the	the	DET
fcis-3743	62	34	same	same	ADJ
fcis-3743	62	35	as	as	ADP
fcis-3743	62	36	the	the	DET
fcis-3743	62	37	number	number	NOUN
fcis-3743	62	38	of	of	ADP
fcis-3743	62	39	elements	element	NOUN
fcis-3743	62	40	in	in	ADP
fcis-3743	62	41	a	a	DET
fcis-3743	62	42	certain	certain	ADJ
fcis-3743	62	43	column	column	NOUN
fcis-3743	62	44	vector	vector	NOUN
fcis-3743	62	45	,	,	PUNCT
fcis-3743	62	46	multiplying	multiply	VERB
fcis-3743	62	47	the	the	DET
fcis-3743	62	48	matrix	matrix	NOUN
fcis-3743	62	49	by	by	ADP
fcis-3743	62	50	the	the	DET
fcis-3743	62	51	vector	vector	NOUN
fcis-3743	62	52	will	will	AUX
fcis-3743	62	53	get	get	VERB
fcis-3743	62	54	another	another	DET
fcis-3743	62	55	vector	vector	NOUN
fcis-3743	62	56	,	,	PUNCT
fcis-3743	62	57	which	which	PRON
fcis-3743	62	58	is	be	AUX
fcis-3743	62	59	the	the	DET
fcis-3743	62	60	linear	linear	ADJ
fcis-3743	62	61	transformation	transformation	NOUN
fcis-3743	62	62	of	of	ADP
fcis-3743	62	63	the	the	DET
fcis-3743	62	64	vector	vector	NOUN
fcis-3743	62	65	.	.	PUNCT
fcis-3743	63	1	when	when	SCONJ
fcis-3743	63	2	the	the	DET
fcis-3743	63	3	matrix	matrix	NOUN
fcis-3743	63	4	is	be	AUX
fcis-3743	63	5	square	square	ADJ
fcis-3743	63	6	,	,	PUNCT
fcis-3743	63	7	the	the	DET
fcis-3743	63	8	linear	linear	ADJ
fcis-3743	63	9	transformation	transformation	NOUN
fcis-3743	63	10	can	can	AUX
fcis-3743	63	11	continue	continue	VERB
fcis-3743	63	12	.	.	PUNCT
fcis-3743	64	1	that	that	PRON
fcis-3743	64	2	is	is	ADV
fcis-3743	64	3	,	,	PUNCT
fcis-3743	64	4	a	a	DET
fcis-3743	64	5	new	new	ADJ
fcis-3743	64	6	vector	vector	NOUN
fcis-3743	64	7	is	be	AUX
fcis-3743	64	8	obtained	obtain	VERB
fcis-3743	64	9	by	by	ADP
fcis-3743	64	10	multiplying	multiply	VERB
fcis-3743	64	11	a	a	DET
fcis-3743	64	12	matrix	matrix	NOUN
fcis-3743	64	13	by	by	ADP
fcis-3743	64	14	a	a	DET
fcis-3743	64	15	vector	vector	NOUN
fcis-3743	64	16	,	,	PUNCT
fcis-3743	64	17	and	and	CCONJ
fcis-3743	64	18	another	another	DET
fcis-3743	64	19	new	new	ADJ
fcis-3743	64	20	vector	vector	NOUN
fcis-3743	64	21	is	be	AUX
fcis-3743	64	22	obtained	obtain	VERB
fcis-3743	64	23	by	by	ADP
fcis-3743	64	24	multiplying	multiply	VERB
fcis-3743	64	25	the	the	DET
fcis-3743	64	26	same	same	ADJ
fcis-3743	64	27	matrix	matrix	NOUN
fcis-3743	64	28	by	by	ADP
fcis-3743	64	29	the	the	DET
fcis-3743	64	30	new	new	ADJ
fcis-3743	64	31	vector	vector	NOUN
fcis-3743	64	32	.	.	PUNCT
fcis-3743	65	1	the	the	DET
fcis-3743	65	2	essence	essence	NOUN
fcis-3743	65	3	of	of	ADP
fcis-3743	65	4	this	this	DET
fcis-3743	65	5	operation	operation	NOUN
fcis-3743	65	6	is	be	AUX
fcis-3743	65	7	to	to	PART
fcis-3743	65	8	multiply	multiply	VERB
fcis-3743	65	9	the	the	DET
fcis-3743	65	10	initial	initial	ADJ
fcis-3743	65	11	vector	vector	NOUN
fcis-3743	65	12	by	by	ADP
fcis-3743	65	13	the	the	DET
fcis-3743	65	14	power	power	NOUN
fcis-3743	65	15	of	of	ADP
fcis-3743	65	16	the	the	DET
fcis-3743	65	17	matrix	matrix	NOUN
fcis-3743	65	18	.	.	PUNCT
fcis-3743	66	1	let	let	VERB
fcis-3743	66	2	the	the	DET
fcis-3743	66	3	heterogeneous	heterogeneous	ADJ
fcis-3743	66	4	modal	modal	ADJ
fcis-3743	66	5	data	datum	NOUN
fcis-3743	66	6	matrix	matrix	NOUN
fcis-3743	66	7	of	of	ADP
fcis-3743	66	8	the	the	DET
fcis-3743	66	9	basic	basic	ADJ
fcis-3743	66	10	network	network	NOUN
fcis-3743	66	11	after	after	SCONJ
fcis-3743	66	12	denoising	denoise	VERB
fcis-3743	66	13	and	and	CCONJ
fcis-3743	66	14	classification	classification	NOUN
fcis-3743	66	15	be	be	VERB
fcis-3743	66	16	as	as	SCONJ
fcis-3743	66	17	follows	follow	VERB
fcis-3743	66	18	:	:	PUNCT
fcis-3743	66	19			ADJ
fcis-3743	66	20			ADP
fcis-3743	66	21	nm	nm	ADP
fcis-3743	66	22	n	n	CCONJ
fcis-3743	66	23	rxxx	rxxx	NOUN
fcis-3743	66	24	=	=	NOUN
fcis-3743	66	25	''	''	PUNCT
fcis-3743	66	26	''	''	PUNCT
fcis-3743	66	27	'	'	PUNCT
fcis-3743	66	28	,	,	PUNCT
fcis-3743	66	29	,	,	PUNCT
fcis-3743	66	30	(	(	PUNCT
fcis-3743	66	31	13	13	NUM
fcis-3743	66	32	)	)	PUNCT
fcis-3743	66	33	each	each	DET
fcis-3743	66	34	column	column	NOUN
fcis-3743	66	35	vector	vector	NOUN
fcis-3743	66	36	represents	represent	VERB
fcis-3743	66	37	the	the	DET
fcis-3743	66	38	original	original	ADJ
fcis-3743	66	39	data	data	NOUN
fcis-3743	66	40	points	point	NOUN
fcis-3743	66	41	with	with	ADP
fcis-3743	66	42	m	m	PROPN
fcis-3743	66	43	spectral	spectral	ADJ
fcis-3743	66	44	bands	band	NOUN
fcis-3743	66	45	,	,	PUNCT
fcis-3743	66	46	and	and	CCONJ
fcis-3743	66	47	nmf	nmf	PROPN
fcis-3743	66	48	aims	aim	VERB
fcis-3743	66	49	to	to	PART
fcis-3743	66	50	find	find	VERB
fcis-3743	66	51	two	two	NUM
fcis-3743	66	52	nonnegative	nonnegative	ADJ
fcis-3743	66	53	matrices	matrix	NOUN
fcis-3743	66	54			PROPN
fcis-3743	66	55			PROPN
fcis-3743	66	56	rm	rm	PROPN
fcis-3743	66	57	ir	ir	PROPN
fcis-3743	66	58	ruu	ruu	PROPN
fcis-3743	66	59	==	==	PROPN
fcis-3743	66	60	and	and	CCONJ
fcis-3743	66	61			PROPN
fcis-3743	66	62			PROPN
fcis-3743	66	63	rn	rn	PROPN
fcis-3743	66	64	jr	jr	PROPN
fcis-3743	66	65	rvv	rvv	PROPN
fcis-3743	66	66	==	==	PROPN
fcis-3743	66	67	.	.	PUNCT
fcis-3743	67	1	multiply	multiply	VERB
fcis-3743	67	2	these	these	DET
fcis-3743	67	3	two	two	NUM
fcis-3743	67	4	non	non	ADJ
fcis-3743	67	5	-	-	ADJ
fcis-3743	67	6	negative	negative	ADJ
fcis-3743	67	7	matrices	matrix	NOUN
fcis-3743	67	8	,	,	PUNCT
fcis-3743	67	9	the	the	DET
fcis-3743	67	10	product	product	NOUN
fcis-3743	67	11	can	can	AUX
fcis-3743	67	12	represent	represent	VERB
fcis-3743	67	13	'	'	PUNCT
fcis-3743	67	14	x	x	SYM
fcis-3743	67	15	,	,	PUNCT
fcis-3743	67	16	and	and	CCONJ
fcis-3743	67	17	take	take	VERB
fcis-3743	67	18	mr	mr	PROPN
fcis-3743	67	19			PROPN
fcis-3743	67	20	.	.	PUNCT
fcis-3743	68	1	at	at	ADP
fcis-3743	68	2	this	this	DET
fcis-3743	68	3	time	time	NOUN
fcis-3743	68	4	,	,	PUNCT
fcis-3743	68	5	iv	iv	NUM
fcis-3743	68	6	represents	represent	VERB
fcis-3743	68	7	the	the	DET
fcis-3743	68	8	low	low	ADV
fcis-3743	68	9	-	-	PUNCT
fcis-3743	68	10	dimensional	dimensional	ADJ
fcis-3743	68	11	representation	representation	NOUN
fcis-3743	68	12	of	of	ADP
fcis-3743	68	13	hyperspectral	hyperspectral	ADJ
fcis-3743	68	14	data	datum	NOUN
fcis-3743	68	15	''	''	PUNCT
fcis-3743	68	16	ix	ix	ADV
fcis-3743	68	17	on	on	ADP
fcis-3743	68	18	the	the	DET
fcis-3743	68	19	basis	basis	NOUN
fcis-3743	68	20	vector	vector	NOUN
fcis-3743	68	21	set	set	VERB
fcis-3743	68	22			PROPN
fcis-3743	68	23	rrur	rrur	PROPN
fcis-3743	68	24	,	,	PUNCT
fcis-3743	68	25	,	,	PUNCT
fcis-3743	68	26	1=	1=	NUM
fcis-3743	68	27	,	,	PUNCT
fcis-3743	68	28	and	and	CCONJ
fcis-3743	68	29	the	the	DET
fcis-3743	68	30	spectral	spectral	ADJ
fcis-3743	68	31	feature	feature	NOUN
fcis-3743	68	32	extraction	extraction	NOUN
fcis-3743	68	33	is	be	AUX
fcis-3743	68	34	completed	complete	VERB
fcis-3743	68	35	by	by	ADP
fcis-3743	68	36	matrix	matrix	NOUN
fcis-3743	68	37	reconstruction	reconstruction	NOUN
fcis-3743	68	38	.	.	PUNCT
fcis-3743	69	1	in	in	ADP
fcis-3743	69	2	order	order	NOUN
fcis-3743	69	3	to	to	PART
fcis-3743	69	4	solve	solve	VERB
fcis-3743	69	5	this	this	DET
fcis-3743	69	6	problem	problem	NOUN
fcis-3743	69	7	,	,	PUNCT
fcis-3743	69	8	when	when	SCONJ
fcis-3743	69	9	most	most	ADJ
fcis-3743	69	10	of	of	ADP
fcis-3743	69	11	the	the	DET
fcis-3743	69	12	highdimensional	highdimensional	ADJ
fcis-3743	69	13	data	datum	NOUN
fcis-3743	69	14	are	be	AUX
fcis-3743	69	15	distributed	distribute	VERB
fcis-3743	69	16	in	in	ADP
fcis-3743	69	17	a	a	DET
fcis-3743	69	18	highly	highly	ADV
fcis-3743	69	19	nonlinear	nonlinear	ADJ
fcis-3743	69	20	way	way	NOUN
fcis-3743	69	21	,	,	PUNCT
fcis-3743	69	22	the	the	DET
fcis-3743	69	23	concept	concept	NOUN
fcis-3743	69	24	decomposition	decomposition	NOUN
fcis-3743	69	25	is	be	AUX
fcis-3743	69	26	regarded	regard	VERB
fcis-3743	69	27	as	as	ADP
fcis-3743	69	28	an	an	DET
fcis-3743	69	29	improved	improved	ADJ
fcis-3743	69	30	nmf	nmf	NOUN
fcis-3743	69	31	,	,	PUNCT
fcis-3743	69	32	a	a	DET
fcis-3743	69	33	non	non	ADJ
fcis-3743	69	34	-	-	ADJ
fcis-3743	69	35	negative	negative	ADJ
fcis-3743	69	36	linear	linear	ADJ
fcis-3743	69	37	combination	combination	NOUN
fcis-3743	69	38	of	of	ADP
fcis-3743	69	39	the	the	DET
fcis-3743	69	40	highdimensional	highdimensional	ADJ
fcis-3743	69	41	data	datum	NOUN
fcis-3743	69	42	and	and	CCONJ
fcis-3743	69	43	the	the	DET
fcis-3743	69	44	data	datum	NOUN
fcis-3743	69	45	set	set	VERB
fcis-3743	69	46	represented	represent	VERB
fcis-3743	69	47	as	as	ADP
fcis-3743	69	48	basis	basis	NOUN
fcis-3743	69	49	vectors	vector	NOUN
fcis-3743	69	50	''	''	PUNCT
fcis-3743	69	51	'	'	PUNCT
fcis-3743	69	52	j	j	NOUN
fcis-3743	69	53	x	x	X
fcis-3743	69	54	and	and	CCONJ
fcis-3743	69	55	ru	ru	PROPN
fcis-3743	69	56	respectively	respectively	ADV
fcis-3743	69	57	:	:	PUNCT
fcis-3743	69	58			X
fcis-3743	70	1	=	=	PUNCT
fcis-3743	70	2			PROPN
fcis-3743	70	3	r	r	NOUN
fcis-3743	70	4	r	r	NOUN
fcis-3743	70	5	rjrj	rjrj	NOUN
fcis-3743	70	6	vux	vux	VERB
fcis-3743	70	7	1	1	NUM
fcis-3743	70	8	''	''	PUNCT
fcis-3743	70	9	''	''	PUNCT
fcis-3743	71	1	(	(	PUNCT
fcis-3743	71	2	14	14	NUM
fcis-3743	71	3	)	)	PUNCT
fcis-3743	71	4			X
fcis-3743	72	1	=	=	PUNCT
fcis-3743	72	2			PROPN
fcis-3743	72	3	n	n	NUM
fcis-3743	72	4	j	j	PROPN
fcis-3743	72	5	rjjj	rjjj	NOUN
fcis-3743	72	6	sxu	sxu	VERB
fcis-3743	72	7	1	1	NUM
fcis-3743	72	8	'	'	CCONJ
fcis-3743	72	9	''	''	PUNCT
fcis-3743	72	10	'	'	PUNCT
fcis-3743	72	11	'	'	PUNCT
fcis-3743	72	12	''	''	PUNCT
fcis-3743	72	13	(	(	PUNCT
fcis-3743	72	14	15	15	NUM
fcis-3743	72	15	)	)	PUNCT
fcis-3743	72	16	when	when	SCONJ
fcis-3743	72	17	using	use	VERB
fcis-3743	72	18	euclidean	euclidean	ADJ
fcis-3743	72	19	distance	distance	NOUN
fcis-3743	72	20	to	to	PART
fcis-3743	72	21	measure	measure	VERB
fcis-3743	72	22	the	the	DET
fcis-3743	72	23	reconstruction	reconstruction	NOUN
fcis-3743	72	24	error	error	NOUN
fcis-3743	72	25	,	,	PUNCT
fcis-3743	72	26	it	it	PRON
fcis-3743	72	27	is	be	AUX
fcis-3743	72	28	necessary	necessary	ADJ
fcis-3743	72	29	to	to	PART
fcis-3743	72	30	obtain	obtain	VERB
fcis-3743	72	31	the	the	DET
fcis-3743	72	32	optimization	optimization	NOUN
fcis-3743	72	33	result	result	NOUN
fcis-3743	72	34	according	accord	VERB
fcis-3743	72	35	to	to	ADP
fcis-3743	72	36	the	the	DET
fcis-3743	72	37	minimization	minimization	NOUN
fcis-3743	72	38	objective	objective	ADJ
fcis-3743	72	39	function	function	NOUN
fcis-3743	72	40	:	:	PUNCT
fcis-3743	72	41	21	21	NUM
fcis-3743	72	42	(	(	PUNCT
fcis-3743	72	43	)	)	PUNCT
fcis-3743	72	44	(	(	PUNCT
fcis-3743	72	45	)	)	PUNCT
fcis-3743	72	46	2	2	X
fcis-3743	72	47	''	''	SYM
fcis-3743	72	48	2	2	NUM
fcis-3743	72	49	'	'	PUNCT
fcis-3743	72	50	ztrxxtr	ztrxxtr	NOUN
fcis-3743	72	51	xsvx	xsvx	PROPN
fcis-3743	72	52	t	t	PROPN
fcis-3743	72	53	t	t	PROPN
fcis-3743	72	54	cf	cf	NOUN
fcis-3743	72	55	−=	−=	PROPN
fcis-3743	72	56	−=	−=	PROPN
fcis-3743	72	57	(	(	PUNCT
fcis-3743	72	58	16	16	NUM
fcis-3743	72	59	)	)	PUNCT
fcis-3743	72	60	where	where	SCONJ
fcis-3743	72	61	tr	tr	PRON
fcis-3743	72	62	is	be	AUX
fcis-3743	72	63	matrix	matrix	NOUN
fcis-3743	72	64	trace	trace	NOUN
fcis-3743	72	65	,	,	PUNCT
fcis-3743	72	66	z	z	PROPN
fcis-3743	72	67	is	be	AUX
fcis-3743	72	68	auxiliary	auxiliary	ADJ
fcis-3743	72	69	matrix	matrix	NOUN
fcis-3743	72	70	,	,	PUNCT
fcis-3743	72	71	t	t	PROPN
fcis-3743	72	72	is	be	AUX
fcis-3743	72	73	transposed	transpose	VERB
fcis-3743	72	74	symbol	symbol	NOUN
fcis-3743	72	75	,	,	PUNCT
fcis-3743	72	76	and	and	CCONJ
fcis-3743	72	77	txsv	txsv	NOUN
fcis-3743	72	78	represents	represent	VERB
fcis-3743	72	79	reconstruction	reconstruction	NOUN
fcis-3743	72	80	error	error	NOUN
fcis-3743	72	81	set	set	NOUN
fcis-3743	72	82	.	.	PUNCT
fcis-3743	73	1	the	the	DET
fcis-3743	73	2	calculation	calculation	NOUN
fcis-3743	73	3	formula	formula	NOUN
fcis-3743	73	4	for	for	ADP
fcis-3743	73	5	obtaining	obtain	VERB
fcis-3743	73	6	the	the	DET
fcis-3743	73	7	optimal	optimal	ADJ
fcis-3743	73	8	solution	solution	NOUN
fcis-3743	73	9	of	of	ADP
fcis-3743	73	10	the	the	DET
fcis-3743	73	11	objective	objective	ADJ
fcis-3743	73	12	function	function	NOUN
fcis-3743	73	13	by	by	ADP
fcis-3743	73	14	the	the	DET
fcis-3743	73	15	iterative	iterative	NOUN
fcis-3743	73	16	updating	updating	NOUN
fcis-3743	73	17	method	method	NOUN
fcis-3743	73	18	is	be	AUX
fcis-3743	73	19	as	as	SCONJ
fcis-3743	73	20	follows	follow	VERB
fcis-3743	73	21	:	:	PUNCT
fcis-3743	73	22	t	t	PROPN
fcis-3743	73	23	n	n	CCONJ
fcis-3743	73	24	j	j	PROPN
fcis-3743	73	25	rjrj	rjrj	NOUN
fcis-3743	73	26	xsv	xsv	PROPN
fcis-3743	73	27	x	x	PROPN
fcis-3743	73	28	ss	ss	PROPN
fcis-3743	73	29	'	'	PUNCT
fcis-3743	73	30	''	''	PUNCT
fcis-3743	74	1			PROPN
fcis-3743	74	2	(	(	PUNCT
fcis-3743	74	3	17	17	NUM
fcis-3743	74	4	)	)	PUNCT
fcis-3743	74	5	t	t	PROPN
fcis-3743	74	6	n	n	CCONJ
fcis-3743	74	7	j	j	PROPN
fcis-3743	74	8	rjcfrj	rjcfrj	PROPN
fcis-3743	74	9	xsv	xsv	PROPN
fcis-3743	74	10	xj	xj	PROPN
fcis-3743	74	11	vv	vv	INTJ
fcis-3743	74	12	'	'	PUNCT
fcis-3743	74	13	''	''	PUNCT
fcis-3743	75	1			X
fcis-3743	75	2	(	(	PUNCT
fcis-3743	75	3	18	18	NUM
fcis-3743	75	4	)	)	PUNCT
fcis-3743	75	5	to	to	PART
fcis-3743	75	6	solve	solve	VERB
fcis-3743	75	7	this	this	DET
fcis-3743	75	8	optimization	optimization	NOUN
fcis-3743	75	9	problem	problem	NOUN
fcis-3743	75	10	,	,	PUNCT
fcis-3743	75	11	the	the	DET
fcis-3743	75	12	kernel	kernel	PROPN
fcis-3743	75	13	method	method	NOUN
fcis-3743	75	14	is	be	AUX
fcis-3743	75	15	introduced	introduce	VERB
fcis-3743	75	16	to	to	PART
fcis-3743	75	17	calculate	calculate	VERB
fcis-3743	75	18	the	the	DET
fcis-3743	75	19	inner	inner	ADJ
fcis-3743	75	20	product	product	NOUN
fcis-3743	75	21	,	,	PUNCT
fcis-3743	75	22	and	and	CCONJ
fcis-3743	75	23	the	the	DET
fcis-3743	75	24	category	category	NOUN
fcis-3743	75	25	information	information	NOUN
fcis-3743	75	26	of	of	ADP
fcis-3743	75	27	labeled	label	VERB
fcis-3743	75	28	samples	sample	NOUN
fcis-3743	75	29	is	be	AUX
fcis-3743	75	30	regarded	regard	VERB
fcis-3743	75	31	as	as	ADP
fcis-3743	75	32	a	a	DET
fcis-3743	75	33	hard	hard	ADJ
fcis-3743	75	34	constraint	constraint	NOUN
fcis-3743	75	35	to	to	PART
fcis-3743	75	36	ensure	ensure	VERB
fcis-3743	75	37	that	that	SCONJ
fcis-3743	75	38	labeled	label	VERB
fcis-3743	75	39	data	datum	NOUN
fcis-3743	75	40	with	with	ADP
fcis-3743	75	41	the	the	DET
fcis-3743	75	42	same	same	ADJ
fcis-3743	75	43	category	category	NOUN
fcis-3743	75	44	attributes	attribute	NOUN
fcis-3743	75	45	are	be	AUX
fcis-3743	75	46	projected	project	VERB
fcis-3743	75	47	to	to	ADP
fcis-3743	75	48	the	the	DET
fcis-3743	75	49	same	same	ADJ
fcis-3743	75	50	area	area	NOUN
fcis-3743	75	51	in	in	ADP
fcis-3743	75	52	the	the	DET
fcis-3743	75	53	lowdimensional	lowdimensional	ADJ
fcis-3743	75	54	space	space	NOUN
fcis-3743	75	55	.	.	PUNCT
fcis-3743	76	1	5	5	X
fcis-3743	76	2	.	.	X
fcis-3743	76	3	conclusions	conclusion	NOUN
fcis-3743	76	4	the	the	DET
fcis-3743	76	5	application	application	NOUN
fcis-3743	76	6	of	of	ADP
fcis-3743	76	7	analytic	analytic	ADJ
fcis-3743	76	8	matrix	matrix	NOUN
fcis-3743	76	9	operation	operation	NOUN
fcis-3743	76	10	must	must	AUX
fcis-3743	76	11	consider	consider	VERB
fcis-3743	76	12	not	not	PART
fcis-3743	76	13	only	only	ADV
fcis-3743	76	14	the	the	DET
fcis-3743	76	15	need	need	NOUN
fcis-3743	76	16	of	of	ADP
fcis-3743	76	17	constructing	construct	VERB
fcis-3743	76	18	matrix	matrix	NOUN
fcis-3743	76	19	theory	theory	NOUN
fcis-3743	76	20	,	,	PUNCT
fcis-3743	76	21	but	but	CCONJ
fcis-3743	76	22	also	also	ADV
fcis-3743	76	23	the	the	DET
fcis-3743	76	24	actual	actual	ADJ
fcis-3743	76	25	need	need	NOUN
fcis-3743	76	26	of	of	ADP
fcis-3743	76	27	teaching	teaching	NOUN
fcis-3743	76	28	.	.	PUNCT
fcis-3743	77	1	the	the	DET
fcis-3743	77	2	basic	basic	ADJ
fcis-3743	77	3	purpose	purpose	NOUN
fcis-3743	77	4	of	of	ADP
fcis-3743	77	5	studying	study	VERB
fcis-3743	77	6	matrix	matrix	NOUN
fcis-3743	77	7	operations	operation	NOUN
fcis-3743	77	8	and	and	CCONJ
fcis-3743	77	9	their	their	PRON
fcis-3743	77	10	operation	operation	NOUN
fcis-3743	77	11	laws	law	NOUN
fcis-3743	77	12	is	be	AUX
fcis-3743	77	13	to	to	PART
fcis-3743	77	14	make	make	VERB
fcis-3743	77	15	full	full	ADJ
fcis-3743	77	16	use	use	NOUN
fcis-3743	77	17	of	of	ADP
fcis-3743	77	18	these	these	DET
fcis-3743	77	19	operations	operation	NOUN
fcis-3743	77	20	to	to	PART
fcis-3743	77	21	introduce	introduce	VERB
fcis-3743	77	22	new	new	ADJ
fcis-3743	77	23	matrix	matrix	NOUN
fcis-3743	77	24	concepts	concept	NOUN
fcis-3743	77	25	,	,	PUNCT
fcis-3743	77	26	and	and	CCONJ
fcis-3743	77	27	at	at	ADP
fcis-3743	77	28	the	the	DET
fcis-3743	77	29	same	same	ADJ
fcis-3743	77	30	time	time	NOUN
fcis-3743	77	31	to	to	PART
fcis-3743	77	32	grasp	grasp	VERB
fcis-3743	77	33	the	the	DET
fcis-3743	77	34	relationship	relationship	NOUN
fcis-3743	77	35	between	between	ADP
fcis-3743	77	36	matrices	matrix	NOUN
fcis-3743	77	37	,	,	PUNCT
fcis-3743	77	38	so	so	SCONJ
fcis-3743	77	39	as	as	SCONJ
fcis-3743	77	40	to	to	PART
fcis-3743	77	41	gradually	gradually	ADV
fcis-3743	77	42	construct	construct	VERB
fcis-3743	77	43	the	the	DET
fcis-3743	77	44	whole	whole	ADJ
fcis-3743	77	45	matrix	matrix	NOUN
fcis-3743	77	46	theory	theory	NOUN
fcis-3743	77	47	system	system	NOUN
fcis-3743	77	48	.	.	PUNCT
fcis-3743	78	1	therefore	therefore	ADV
fcis-3743	78	2	,	,	PUNCT
fcis-3743	78	3	the	the	DET
fcis-3743	78	4	application	application	NOUN
fcis-3743	78	5	of	of	ADP
fcis-3743	78	6	matrix	matrix	NOUN
fcis-3743	78	7	operation	operation	NOUN
fcis-3743	78	8	in	in	ADP
fcis-3743	78	9	the	the	DET
fcis-3743	78	10	construction	construction	NOUN
fcis-3743	78	11	of	of	ADP
fcis-3743	78	12	matrix	matrix	NOUN
fcis-3743	78	13	theory	theory	NOUN
fcis-3743	78	14	is	be	AUX
fcis-3743	78	15	very	very	ADV
fcis-3743	78	16	common	common	ADJ
fcis-3743	78	17	,	,	PUNCT
fcis-3743	78	18	and	and	CCONJ
fcis-3743	78	19	it	it	PRON
fcis-3743	78	20	has	have	AUX
fcis-3743	78	21	become	become	VERB
fcis-3743	78	22	a	a	DET
fcis-3743	78	23	basic	basic	ADJ
fcis-3743	78	24	tool	tool	NOUN
fcis-3743	78	25	to	to	PART
fcis-3743	78	26	study	study	VERB
fcis-3743	78	27	matrix	matrix	NOUN
fcis-3743	78	28	problems	problem	NOUN
fcis-3743	78	29	.	.	PUNCT
fcis-3743	79	1	usually	usually	ADV
fcis-3743	79	2	,	,	PUNCT
fcis-3743	79	3	in	in	ADP
fcis-3743	79	4	the	the	DET
fcis-3743	79	5	structural	structural	ADJ
fcis-3743	79	6	information	information	NOUN
fcis-3743	79	7	of	of	ADP
fcis-3743	79	8	network	network	NOUN
fcis-3743	79	9	data	datum	NOUN
fcis-3743	79	10	,	,	PUNCT
fcis-3743	79	11	the	the	DET
fcis-3743	79	12	attribute	attribute	NOUN
fcis-3743	79	13	information	information	NOUN
fcis-3743	79	14	of	of	ADP
fcis-3743	79	15	each	each	DET
fcis-3743	79	16	node	node	NOUN
fcis-3743	79	17	is	be	AUX
fcis-3743	79	18	different	different	ADJ
fcis-3743	79	19	,	,	PUNCT
fcis-3743	79	20	which	which	PRON
fcis-3743	79	21	will	will	AUX
fcis-3743	79	22	also	also	ADV
fcis-3743	79	23	affect	affect	VERB
fcis-3743	79	24	the	the	DET
fcis-3743	79	25	matching	matching	NOUN
fcis-3743	79	26	accuracy	accuracy	NOUN
fcis-3743	79	27	of	of	ADP
fcis-3743	79	28	network	network	NOUN
fcis-3743	79	29	nodes	node	NOUN
fcis-3743	79	30	.	.	PUNCT
fcis-3743	80	1	how	how	SCONJ
fcis-3743	80	2	to	to	PART
fcis-3743	80	3	design	design	VERB
fcis-3743	80	4	a	a	DET
fcis-3743	80	5	more	more	ADV
fcis-3743	80	6	effective	effective	ADJ
fcis-3743	80	7	node	node	ADJ
fcis-3743	80	8	matching	matching	NOUN
fcis-3743	80	9	algorithm	algorithm	NOUN
fcis-3743	80	10	by	by	ADP
fcis-3743	80	11	combining	combine	VERB
fcis-3743	80	12	the	the	DET
fcis-3743	80	13	attribute	attribute	NOUN
fcis-3743	80	14	of	of	ADP
fcis-3743	80	15	nodes	node	NOUN
fcis-3743	80	16	with	with	ADP
fcis-3743	80	17	the	the	DET
fcis-3743	80	18	topology	topology	NOUN
fcis-3743	80	19	of	of	ADP
fcis-3743	80	20	the	the	DET
fcis-3743	80	21	network	network	NOUN
fcis-3743	80	22	will	will	AUX
fcis-3743	80	23	be	be	AUX
fcis-3743	80	24	a	a	DET
fcis-3743	80	25	meaningful	meaningful	ADJ
fcis-3743	80	26	thing	thing	NOUN
fcis-3743	80	27	.	.	PUNCT
fcis-3743	81	1	macroscopically	macroscopically	ADV
fcis-3743	81	2	,	,	PUNCT
fcis-3743	81	3	matrix	matrix	NOUN
fcis-3743	81	4	operation	operation	NOUN
fcis-3743	81	5	is	be	AUX
fcis-3743	81	6	a	a	DET
fcis-3743	81	7	great	great	ADJ
fcis-3743	81	8	tool	tool	NOUN
fcis-3743	81	9	to	to	PART
fcis-3743	81	10	discuss	discuss	VERB
fcis-3743	81	11	matrix	matrix	NOUN
fcis-3743	81	12	problems	problem	NOUN
fcis-3743	81	13	,	,	PUNCT
fcis-3743	81	14	but	but	CCONJ
fcis-3743	81	15	it	it	PRON
fcis-3743	81	16	is	be	AUX
fcis-3743	81	17	not	not	PART
fcis-3743	81	18	the	the	DET
fcis-3743	81	19	only	only	ADJ
fcis-3743	81	20	one	one	NUM
fcis-3743	81	21	.	.	PUNCT
fcis-3743	82	1	in	in	ADP
fcis-3743	82	2	fact	fact	NOUN
fcis-3743	82	3	,	,	PUNCT
fcis-3743	82	4	elementary	elementary	ADJ
fcis-3743	82	5	transformation	transformation	NOUN
fcis-3743	82	6	of	of	ADP
fcis-3743	82	7	matrix	matrix	NOUN
fcis-3743	82	8	is	be	AUX
fcis-3743	82	9	not	not	PART
fcis-3743	82	10	only	only	ADV
fcis-3743	82	11	the	the	DET
fcis-3743	82	12	application	application	NOUN
fcis-3743	82	13	basis	basis	NOUN
fcis-3743	82	14	of	of	ADP
fcis-3743	82	15	matrix	matrix	NOUN
fcis-3743	82	16	theory	theory	NOUN
fcis-3743	82	17	in	in	ADP
fcis-3743	82	18	the	the	DET
fcis-3743	82	19	whole	whole	ADJ
fcis-3743	82	20	higher	high	ADJ
fcis-3743	82	21	algebra	algebra	NOUN
fcis-3743	82	22	,	,	PUNCT
fcis-3743	82	23	but	but	CCONJ
fcis-3743	82	24	also	also	ADV
fcis-3743	82	25	a	a	DET
fcis-3743	82	26	powerful	powerful	ADJ
fcis-3743	82	27	tool	tool	NOUN
fcis-3743	82	28	to	to	PART
fcis-3743	82	29	analyze	analyze	VERB
fcis-3743	82	30	matrix	matrix	NOUN
fcis-3743	82	31	theory	theory	NOUN
fcis-3743	82	32	itself	itself	PRON
fcis-3743	82	33	.	.	PUNCT
fcis-3743	83	1	with	with	ADP
fcis-3743	83	2	the	the	DET
fcis-3743	83	3	development	development	NOUN
fcis-3743	83	4	of	of	ADP
fcis-3743	83	5	science	science	NOUN
fcis-3743	83	6	and	and	CCONJ
fcis-3743	83	7	technology	technology	NOUN
fcis-3743	83	8	,	,	PUNCT
fcis-3743	83	9	there	there	PRON
fcis-3743	83	10	will	will	AUX
fcis-3743	83	11	be	be	AUX
fcis-3743	83	12	more	more	ADV
fcis-3743	83	13	and	and	CCONJ
fcis-3743	83	14	more	more	ADJ
fcis-3743	83	15	intersections	intersection	NOUN
fcis-3743	83	16	among	among	ADP
fcis-3743	83	17	various	various	ADJ
fcis-3743	83	18	disciplines	discipline	NOUN
fcis-3743	83	19	and	and	CCONJ
fcis-3743	83	20	fields	field	NOUN
fcis-3743	83	21	,	,	PUNCT
fcis-3743	83	22	and	and	CCONJ
fcis-3743	83	23	the	the	DET
fcis-3743	83	24	penetration	penetration	NOUN
fcis-3743	83	25	of	of	ADP
fcis-3743	83	26	matrix	matrix	NOUN
fcis-3743	83	27	application	application	NOUN
fcis-3743	83	28	will	will	AUX
fcis-3743	83	29	be	be	AUX
fcis-3743	83	30	deeper	deep	ADJ
fcis-3743	83	31	and	and	CCONJ
fcis-3743	83	32	deeper	deep	ADJ
fcis-3743	83	33	.	.	PUNCT
fcis-3743	84	1	therefore	therefore	ADV
fcis-3743	84	2	,	,	PUNCT
fcis-3743	84	3	the	the	DET
fcis-3743	84	4	research	research	NOUN
fcis-3743	84	5	and	and	CCONJ
fcis-3743	84	6	popularization	popularization	NOUN
fcis-3743	84	7	of	of	ADP
fcis-3743	84	8	matrix	matrix	NOUN
fcis-3743	84	9	application	application	NOUN
fcis-3743	84	10	is	be	AUX
fcis-3743	84	11	helpful	helpful	ADJ
fcis-3743	84	12	to	to	PART
fcis-3743	84	13	tap	tap	VERB
fcis-3743	84	14	the	the	DET
fcis-3743	84	15	potential	potential	NOUN
fcis-3743	84	16	of	of	ADP
fcis-3743	84	17	matrix	matrix	NOUN
fcis-3743	84	18	,	,	PUNCT
fcis-3743	84	19	and	and	CCONJ
fcis-3743	84	20	has	have	VERB
fcis-3743	84	21	positive	positive	ADJ
fcis-3743	84	22	significance	significance	NOUN
fcis-3743	84	23	for	for	ADP
fcis-3743	84	24	the	the	DET
fcis-3743	84	25	increasingly	increasingly	ADV
fcis-3743	84	26	complex	complex	ADJ
fcis-3743	84	27	and	and	CCONJ
fcis-3743	84	28	interdisciplinary	interdisciplinary	ADJ
fcis-3743	84	29	mathematical	mathematical	ADJ
fcis-3743	84	30	modeling	modeling	NOUN
fcis-3743	84	31	in	in	ADP
fcis-3743	84	32	the	the	DET
fcis-3743	84	33	future	future	NOUN
fcis-3743	84	34	.	.	PUNCT
fcis-3743	85	1	references	reference	NOUN
fcis-3743	85	2	[	[	X
fcis-3743	85	3	1	1	NUM
fcis-3743	85	4	]	]	X
fcis-3743	85	5	wang	wang	PROPN
fcis-3743	85	6	ling	ling	PROPN
fcis-3743	85	7	,	,	PUNCT
fcis-3743	85	8	li	li	PROPN
fcis-3743	85	9	xiuying	xiuying	PROPN
fcis-3743	85	10	.	.	PUNCT
fcis-3743	86	1	application	application	NOUN
fcis-3743	86	2	of	of	ADP
fcis-3743	86	3	matrix	matrix	NOUN
fcis-3743	86	4	theory	theory	NOUN
fcis-3743	86	5	in	in	ADP
fcis-3743	86	6	mathematical	mathematical	ADJ
fcis-3743	86	7	modeling	modeling	NOUN
fcis-3743	87	1	[	[	X
fcis-3743	87	2	j	j	X
fcis-3743	87	3	]	]	X
fcis-3743	87	4	.	.	PUNCT
fcis-3743	88	1	knowledge	knowledge	NOUN
fcis-3743	88	2	base	base	PROPN
fcis-3743	88	3	,	,	PUNCT
fcis-3743	88	4	2019	2019	NUM
fcis-3743	88	5	,	,	PUNCT
fcis-3743	88	6	469(21):187	469(21):187	NOUN
fcis-3743	88	7	-	-	SYM
fcis-3743	88	8	188	188	NUM
fcis-3743	88	9	.	.	PUNCT
fcis-3743	89	1	[	[	X
fcis-3743	89	2	2	2	NUM
fcis-3743	89	3	]	]	X
fcis-3743	89	4	chang	chang	PROPN
fcis-3743	89	5	hong	hong	PROPN
fcis-3743	89	6	.	.	PUNCT
fcis-3743	90	1	analysis	analysis	NOUN
fcis-3743	90	2	and	and	CCONJ
fcis-3743	90	3	research	research	NOUN
fcis-3743	90	4	on	on	ADP
fcis-3743	90	5	mathematical	mathematical	ADJ
fcis-3743	90	6	modeling	modeling	NOUN
fcis-3743	90	7	process	process	NOUN
fcis-3743	90	8	of	of	ADP
fcis-3743	90	9	economic	economic	ADJ
fcis-3743	90	10	and	and	CCONJ
fcis-3743	90	11	environmental	environmental	ADJ
fcis-3743	90	12	game	game	NOUN
fcis-3743	91	1	[	[	X
fcis-3743	91	2	j	j	X
fcis-3743	91	3	]	]	X
fcis-3743	91	4	.	.	PUNCT
fcis-3743	92	1	environmental	environmental	ADJ
fcis-3743	92	2	science	science	NOUN
fcis-3743	92	3	and	and	CCONJ
fcis-3743	92	4	management	management	NOUN
fcis-3743	92	5	,	,	PUNCT
fcis-3743	92	6	2018	2018	NUM
fcis-3743	92	7	,	,	PUNCT
fcis-3743	92	8	043(008):4750	043(008):4750	NUM
fcis-3743	92	9	.	.	PUNCT
fcis-3743	93	1	[	[	X
fcis-3743	93	2	3	3	X
fcis-3743	93	3	]	]	X
fcis-3743	93	4	wang	wang	PROPN
fcis-3743	93	5	zhen	zhen	PROPN
fcis-3743	93	6	,	,	PUNCT
fcis-3743	93	7	zhang	zhang	PROPN
fcis-3743	93	8	juan	juan	PROPN
fcis-3743	93	9	,	,	PUNCT
fcis-3743	93	10	he	he	PRON
fcis-3743	93	11	jing	jing	PROPN
fcis-3743	93	12	,	,	PUNCT
fcis-3743	93	13	et	et	PROPN
fcis-3743	93	14	al	al	PROPN
fcis-3743	93	15	.	.	PROPN
fcis-3743	93	16	mathematical	mathematical	ADJ
fcis-3743	93	17	modeling	modeling	NOUN
fcis-3743	93	18	and	and	CCONJ
fcis-3743	93	19	adaptive	adaptive	ADJ
fcis-3743	93	20	routing	routing	NOUN
fcis-3743	93	21	configuration	configuration	NOUN
fcis-3743	93	22	of	of	ADP
fcis-3743	93	23	spacewire	spacewire	NOUN
fcis-3743	93	24	spaceborne	spaceborne	ADJ
fcis-3743	93	25	network	network	NOUN
fcis-3743	93	26	[	[	X
fcis-3743	93	27	j	j	X
fcis-3743	93	28	]	]	X
fcis-3743	93	29	.	.	PUNCT
fcis-3743	94	1	space	space	NOUN
fcis-3743	94	2	electronics	electronic	NOUN
fcis-3743	94	3	technology	technology	NOUN
fcis-3743	94	4	,	,	PUNCT
fcis-3743	94	5	2018	2018	NUM
fcis-3743	94	6	,	,	PUNCT
fcis-3743	94	7	15(1):7	15(1):7	NUM
fcis-3743	94	8	.	.	PUNCT
fcis-3743	95	1	[	[	X
fcis-3743	95	2	4	4	X
fcis-3743	95	3	]	]	X
fcis-3743	95	4	chang	chang	PROPN
fcis-3743	95	5	hong	hong	PROPN
fcis-3743	95	6	.	.	PUNCT
fcis-3743	96	1	analysis	analysis	NOUN
fcis-3743	96	2	and	and	CCONJ
fcis-3743	96	3	research	research	NOUN
fcis-3743	96	4	on	on	ADP
fcis-3743	96	5	mathematical	mathematical	ADJ
fcis-3743	96	6	modeling	modeling	NOUN
fcis-3743	96	7	process	process	NOUN
fcis-3743	96	8	of	of	ADP
fcis-3743	96	9	economic	economic	ADJ
fcis-3743	96	10	and	and	CCONJ
fcis-3743	96	11	environmental	environmental	ADJ
fcis-3743	96	12	game	game	NOUN
fcis-3743	97	1	[	[	X
fcis-3743	97	2	j	j	X
fcis-3743	97	3	]	]	X
fcis-3743	97	4	.	.	PUNCT
fcis-3743	98	1	environmental	environmental	ADJ
fcis-3743	98	2	science	science	NOUN
fcis-3743	98	3	and	and	CCONJ
fcis-3743	98	4	management	management	NOUN
fcis-3743	98	5	,	,	PUNCT
fcis-3743	98	6	2018	2018	NUM
fcis-3743	98	7	,	,	PUNCT
fcis-3743	98	8	43(8):4	43(8):4	NOUN
fcis-3743	98	9	.	.	PUNCT
fcis-3743	99	1	[	[	X
fcis-3743	99	2	5	5	NUM
fcis-3743	99	3	]	]	SYM
fcis-3743	99	4	manepalli	manepalli	NOUN
fcis-3743	99	5	p	p	PROPN
fcis-3743	99	6	h	h	NOUN
fcis-3743	99	7	,	,	PUNCT
fcis-3743	99	8	alavi	alavi	PROPN
fcis-3743	99	9	s.	s.	PROPN
fcis-3743	99	10	mathematical	mathematical	PROPN
fcis-3743	99	11	modeling	modeling	NOUN
fcis-3743	99	12	of	of	ADP
fcis-3743	99	13	mechanical	mechanical	ADJ
fcis-3743	99	14	and	and	CCONJ
fcis-3743	99	15	barrier	barrier	NOUN
fcis-3743	99	16	properties	property	NOUN
fcis-3743	99	17	of	of	ADP
fcis-3743	99	18	poly(lactic	poly(lactic	ADJ
fcis-3743	99	19	acid)/poly(butylene	acid)/poly(butylene	NOUN
fcis-3743	99	20	adipate	adipate	NOUN
fcis-3743	99	21	-	-	PUNCT
fcis-3743	99	22	co	co	NOUN
fcis-3743	99	23	-	-	ADJ
fcis-3743	99	24	terephthalate)/	terephthalate)/	ADJ
fcis-3743	99	25	thermoplastic	thermoplastic	ADJ
fcis-3743	99	26	starch	starch	NOUN
fcis-3743	99	27	based	base	VERB
fcis-3743	99	28	nanocomposites[j	nanocomposites[j	PROPN
fcis-3743	99	29	]	]	PUNCT
fcis-3743	99	30	.	.	PUNCT
fcis-3743	100	1	journal	journal	PROPN
fcis-3743	100	2	of	of	ADP
fcis-3743	100	3	food	food	NOUN
fcis-3743	100	4	engineering	engineering	NOUN
fcis-3743	100	5	,	,	PUNCT
fcis-3743	100	6	2019	2019	NUM
fcis-3743	100	7	,	,	PUNCT
fcis-3743	100	8	261(11):60	261(11):60	NUM
fcis-3743	100	9	-	-	SYM
fcis-3743	100	10	65	65	NUM
fcis-3743	100	11	.	.	PUNCT
fcis-3743	101	1	[	[	X
fcis-3743	101	2	6	6	NUM
fcis-3743	101	3	]	]	X
fcis-3743	101	4	liu	liu	PROPN
fcis-3743	101	5	jing	jing	PROPN
fcis-3743	101	6	,	,	PUNCT
fcis-3743	101	7	lian	lian	PROPN
fcis-3743	101	8	dongyan	dongyan	PROPN
fcis-3743	101	9	,	,	PUNCT
fcis-3743	101	10	hu	hu	PROPN
fcis-3743	101	11	shuangnian	shuangnian	PROPN
fcis-3743	101	12	.	.	PUNCT
fcis-3743	102	1	mathematical	mathematical	ADJ
fcis-3743	102	2	modeling	modeling	NOUN
fcis-3743	102	3	and	and	CCONJ
fcis-3743	102	4	simulation	simulation	NOUN
fcis-3743	102	5	of	of	ADP
fcis-3743	102	6	synchronous	synchronous	ADJ
fcis-3743	102	7	control	control	NOUN
fcis-3743	102	8	of	of	ADP
fcis-3743	102	9	asymmetric	asymmetric	ADJ
fcis-3743	102	10	coupled	couple	VERB
fcis-3743	102	11	sensor	sensor	NOUN
fcis-3743	102	12	network	network	NOUN
fcis-3743	102	13	[	[	X
fcis-3743	102	14	j	j	X
fcis-3743	102	15	]	]	X
fcis-3743	102	16	.	.	PUNCT
fcis-3743	103	1	computer	computer	NOUN
fcis-3743	103	2	simulation	simulation	NOUN
fcis-3743	103	3	,	,	PUNCT
fcis-3743	103	4	2019	2019	NUM
fcis-3743	103	5	,	,	PUNCT
fcis-3743	103	6	36(10):5	36(10):5	NUM
fcis-3743	103	7	.	.	PUNCT
fcis-3743	104	1	[	[	X
fcis-3743	104	2	7	7	X
fcis-3743	104	3	]	]	X
fcis-3743	104	4	gao	gao	PROPN
fcis-3743	104	5	ting	ting	PROPN
fcis-3743	104	6	.	.	PUNCT
fcis-3743	104	7	fuzzy	fuzzy	ADJ
fcis-3743	104	8	mathematical	mathematical	ADJ
fcis-3743	104	9	modeling	modeling	NOUN
fcis-3743	104	10	analysis	analysis	NOUN
fcis-3743	104	11	of	of	ADP
fcis-3743	104	12	electrohydraulic	electrohydraulic	NOUN
fcis-3743	104	13	servo	servo	NOUN
fcis-3743	104	14	vibration	vibration	NOUN
fcis-3743	104	15	table	table	NOUN
fcis-3743	104	16	life	life	NOUN
fcis-3743	104	17	[	[	X
fcis-3743	104	18	j	j	X
fcis-3743	104	19	]	]	X
fcis-3743	104	20	.	.	PUNCT
fcis-3743	105	1	journal	journal	PROPN
fcis-3743	105	2	of	of	ADP
fcis-3743	105	3	weapon	weapon	NOUN
fcis-3743	105	4	equipment	equipment	NOUN
fcis-3743	105	5	engineering	engineering	NOUN
fcis-3743	105	6	,	,	PUNCT
fcis-3743	105	7	2021	2021	NUM
fcis-3743	105	8	,	,	PUNCT
fcis-3743	105	9	42(8):6	42(8):6	PROPN
fcis-3743	105	10	.	.	PUNCT
fcis-3743	106	1	[	[	X
fcis-3743	106	2	8	8	NUM
fcis-3743	106	3	]	]	X
fcis-3743	106	4	liu	liu	PROPN
fcis-3743	106	5	qin	qin	PROPN
fcis-3743	106	6	.	.	PROPN
fcis-3743	106	7	mathematical	mathematical	ADJ
fcis-3743	106	8	modeling	modeling	NOUN
fcis-3743	106	9	of	of	ADP
fcis-3743	106	10	intelligent	intelligent	ADJ
fcis-3743	106	11	management	management	NOUN
fcis-3743	106	12	of	of	ADP
fcis-3743	106	13	water	water	NOUN
fcis-3743	106	14	supply	supply	NOUN
fcis-3743	106	15	system	system	NOUN
fcis-3743	106	16	[	[	X
fcis-3743	106	17	j	j	X
fcis-3743	106	18	]	]	X
fcis-3743	106	19	.	.	PUNCT
fcis-3743	107	1	smart	smart	ADJ
fcis-3743	107	2	city	city	NOUN
fcis-3743	107	3	,	,	PUNCT
fcis-3743	107	4	2022	2022	NUM
fcis-3743	107	5	,	,	PUNCT
fcis-3743	107	6	8(3):3	8(3):3	NOUN
fcis-3743	107	7	.	.	PUNCT
fcis-3743	108	1	[	[	X
fcis-3743	108	2	9	9	NUM
fcis-3743	108	3	]	]	X
fcis-3743	108	4	zhao	zhao	PROPN
fcis-3743	108	5	bingxin	bingxin	PROPN
fcis-3743	108	6	,	,	PUNCT
fcis-3743	108	7	cui	cui	PROPN
fcis-3743	108	8	bo	bo	PROPN
fcis-3743	108	9	,	,	PUNCT
fcis-3743	108	10	liu	liu	PROPN
fcis-3743	108	11	yihong	yihong	PROPN
fcis-3743	108	12	,	,	PUNCT
fcis-3743	108	13	et	et	PROPN
fcis-3743	108	14	al	al	PROPN
fcis-3743	108	15	.	.	PUNCT
fcis-3743	109	1	a	a	DET
fcis-3743	109	2	mathematical	mathematical	ADJ
fcis-3743	109	3	modeling	modeling	NOUN
fcis-3743	109	4	and	and	CCONJ
fcis-3743	109	5	evaluation	evaluation	NOUN
fcis-3743	109	6	method	method	NOUN
fcis-3743	109	7	of	of	ADP
fcis-3743	109	8	cable	cable	NOUN
fcis-3743	109	9	component	component	NOUN
fcis-3743	109	10	complexity	complexity	NOUN
fcis-3743	110	1	[	[	X
fcis-3743	110	2	j	j	X
fcis-3743	110	3	]	]	X
fcis-3743	110	4	.	.	PUNCT
fcis-3743	111	1	spacecraft	spacecraft	NOUN
fcis-3743	111	2	engineering	engineering	NOUN
fcis-3743	111	3	,	,	PUNCT
fcis-3743	111	4	2019	2019	NUM
fcis-3743	111	5	,	,	PUNCT
fcis-3743	111	6	028(002):91	028(002):91	PROPN
fcis-3743	111	7	-	-	PUNCT
fcis-3743	111	8	96	96	NUM
fcis-3743	111	9	.	.	PUNCT
fcis-3743	112	1	[	[	X
fcis-3743	112	2	10	10	NUM
fcis-3743	112	3	]	]	X
fcis-3743	112	4	martins	martin	NOUN
fcis-3743	112	5	-	-	PUNCT
fcis-3743	112	6	costa	costa	PROPN
fcis-3743	112	7	m	m	NOUN
fcis-3743	112	8	l	l	NOUN
fcis-3743	112	9	,	,	PUNCT
fcis-3743	112	10	alegre	alegre	VERB
fcis-3743	112	11	d	d	PROPN
fcis-3743	112	12	m	m	PROPN
fcis-3743	112	13	,	,	PUNCT
fcis-3743	112	14	bastos	bastos	PROPN
fcis-3743	112	15	d	d	PROPN
fcis-3743	112	16	,	,	PUNCT
fcis-3743	112	17	et	et	PROPN
fcis-3743	112	18	al	al	PROPN
fcis-3743	112	19	.	.	PUNCT
fcis-3743	113	1	a	a	DET
fcis-3743	113	2	hyperbolic	hyperbolic	ADJ
fcis-3743	113	3	mathematical	mathematical	ADJ
fcis-3743	113	4	modeling	modeling	NOUN
fcis-3743	113	5	for	for	ADP
fcis-3743	113	6	describing	describe	VERB
fcis-3743	113	7	the	the	DET
fcis-3743	113	8	transition	transition	NOUN
fcis-3743	113	9	saturated	saturate	VERB
fcis-3743	113	10	/	/	SYM
fcis-3743	113	11	unsaturated	unsaturate	VERB
fcis-3743	113	12	in	in	ADP
fcis-3743	113	13	a	a	DET
fcis-3743	113	14	rigid	rigid	ADJ
fcis-3743	113	15	porous	porous	ADJ
fcis-3743	113	16	medium[j	medium[j	NOUN
fcis-3743	113	17	]	]	PUNCT
fcis-3743	113	18	.	.	PUNCT
fcis-3743	114	1	international	international	ADJ
fcis-3743	114	2	journal	journal	PROPN
fcis-3743	114	3	of	of	ADP
fcis-3743	114	4	non	non	ADJ
fcis-3743	114	5	-	-	ADJ
fcis-3743	114	6	linear	linear	ADJ
fcis-3743	114	7	mechanics	mechanic	NOUN
fcis-3743	114	8	,	,	PUNCT
fcis-3743	114	9	2017	2017	NUM
fcis-3743	114	10	,	,	PUNCT
fcis-3743	114	11	95(10):168	95(10):168	NOUN
fcis-3743	114	12	-	-	SYM
fcis-3743	114	13	177	177	NUM
fcis-3743	114	14	.	.	PUNCT