id	sid	tid	token	lemma	pos
ajst-8275	1	1	academic	academic	ADJ
ajst-8275	1	2	journal	journal	NOUN
ajst-8275	1	3	of	of	ADP
ajst-8275	1	4	science	science	NOUN
ajst-8275	1	5	and	and	CCONJ
ajst-8275	1	6	technology	technology	NOUN
ajst-8275	1	7	issn	issn	NOUN
ajst-8275	1	8	:	:	PUNCT
ajst-8275	1	9	2771	2771	NUM
ajst-8275	1	10	-	-	SYM
ajst-8275	1	11	3032	3032	NUM
ajst-8275	1	12	|	|	NOUN
ajst-8275	1	13	vol	vol	NOUN
ajst-8275	1	14	.	.	PROPN
ajst-8275	2	1	6	6	NUM
ajst-8275	2	2	,	,	PUNCT
ajst-8275	2	3	no	no	INTJ
ajst-8275	2	4	.	.	NOUN
ajst-8275	2	5	1	1	NUM
ajst-8275	2	6	,	,	PUNCT
ajst-8275	2	7	2023	2023	NUM
ajst-8275	2	8	14	14	NUM
ajst-8275	2	9	implementation	implementation	NOUN
ajst-8275	2	10	of	of	ADP
ajst-8275	2	11	facial	facial	ADJ
ajst-8275	2	12	recognition	recognition	NOUN
ajst-8275	2	13	system	system	NOUN
ajst-8275	2	14	for	for	ADP
ajst-8275	2	15	metaverse	metaverse	NOUN
ajst-8275	2	16	using	use	VERB
ajst-8275	2	17	sbrio	sbrio	PROPN
ajst-8275	2	18	fpga	fpga	PROPN
ajst-8275	2	19	and	and	CCONJ
ajst-8275	2	20	nb‐iot	nb‐iot	NUM
ajst-8275	2	21	module	module	NOUN
ajst-8275	2	22	peng	peng	PROPN
ajst-8275	2	23	lu1	lu1	PROPN
ajst-8275	2	24	,	,	PUNCT
ajst-8275	2	25	a	a	PRON
ajst-8275	2	26	,	,	PUNCT
ajst-8275	2	27	meijiao	meijiao	NOUN
ajst-8275	2	28	yu2	yu2	PROPN
ajst-8275	2	29	,	,	PUNCT
ajst-8275	2	30	b	b	NOUN
ajst-8275	2	31	,	,	PUNCT
ajst-8275	2	32	renyong	renyong	ADJ
ajst-8275	2	33	zhang2	zhang2	PROPN
ajst-8275	2	34	,	,	PUNCT
ajst-8275	2	35	c	c	PROPN
ajst-8275	2	36	1chongqing	1chongqing	NUM
ajst-8275	2	37	university	university	NOUN
ajst-8275	2	38	,	,	PUNCT
ajst-8275	2	39	china	china	PROPN
ajst-8275	2	40	2chongqing	2chongqing	PROPN
ajst-8275	2	41	institute	institute	PROPN
ajst-8275	2	42	of	of	ADP
ajst-8275	2	43	engineering	engineering	PROPN
ajst-8275	2	44	,	,	PUNCT
ajst-8275	2	45	china	china	PROPN
ajst-8275	2	46	a552437915@qq.com	a552437915@qq.com	PROPN
ajst-8275	2	47	,	,	PUNCT
ajst-8275	2	48	b1156353459@qq.com	b1156353459@qq.com	PROPN
ajst-8275	2	49	,	,	PUNCT
ajst-8275	2	50	c913213836@qq.com	c913213836@qq.com	PROPN
ajst-8275	2	51	abstract	abstract	ADJ
ajst-8275	2	52	:	:	PUNCT
ajst-8275	2	53	facial	facial	ADJ
ajst-8275	2	54	recognition	recognition	NOUN
ajst-8275	2	55	is	be	AUX
ajst-8275	2	56	crucial	crucial	ADJ
ajst-8275	2	57	for	for	ADP
ajst-8275	2	58	identity	identity	NOUN
ajst-8275	2	59	verification	verification	NOUN
ajst-8275	2	60	in	in	ADP
ajst-8275	2	61	the	the	DET
ajst-8275	2	62	metaverse	metaverse	NOUN
ajst-8275	2	63	,	,	PUNCT
ajst-8275	2	64	but	but	CCONJ
ajst-8275	2	65	it	it	PRON
ajst-8275	2	66	requires	require	VERB
ajst-8275	2	67	significant	significant	ADJ
ajst-8275	2	68	processing	processing	NOUN
ajst-8275	2	69	and	and	CCONJ
ajst-8275	2	70	operation	operation	NOUN
ajst-8275	2	71	overhead	overhead	ADV
ajst-8275	2	72	.	.	PUNCT
ajst-8275	3	1	transmitting	transmit	VERB
ajst-8275	3	2	high	high	ADJ
ajst-8275	3	3	-	-	PUNCT
ajst-8275	3	4	definition	definition	NOUN
ajst-8275	3	5	images	image	NOUN
ajst-8275	3	6	to	to	ADP
ajst-8275	3	7	a	a	DET
ajst-8275	3	8	server	server	NOUN
ajst-8275	3	9	pc	pc	NOUN
ajst-8275	3	10	for	for	ADP
ajst-8275	3	11	processing	processing	NOUN
ajst-8275	3	12	is	be	AUX
ajst-8275	3	13	not	not	PART
ajst-8275	3	14	feasible	feasible	ADJ
ajst-8275	3	15	in	in	ADP
ajst-8275	3	16	low	low	ADJ
ajst-8275	3	17	-	-	PUNCT
ajst-8275	3	18	capacity	capacity	NOUN
ajst-8275	3	19	,	,	PUNCT
ajst-8275	3	20	lowbandwidth	lowbandwidth	NOUN
ajst-8275	3	21	,	,	PUNCT
ajst-8275	3	22	or	or	CCONJ
ajst-8275	3	23	low	low	ADJ
ajst-8275	3	24	-	-	PUNCT
ajst-8275	3	25	processor	processor	NOUN
ajst-8275	3	26	virtual	virtual	ADJ
ajst-8275	3	27	environments	environment	NOUN
ajst-8275	3	28	.	.	PUNCT
ajst-8275	4	1	to	to	PART
ajst-8275	4	2	overcome	overcome	VERB
ajst-8275	4	3	these	these	DET
ajst-8275	4	4	challenges	challenge	NOUN
ajst-8275	4	5	,	,	PUNCT
ajst-8275	4	6	we	we	PRON
ajst-8275	4	7	developed	develop	VERB
ajst-8275	4	8	a	a	DET
ajst-8275	4	9	narrow	narrow	ADJ
ajst-8275	4	10	-	-	PUNCT
ajst-8275	4	11	bandwidth	bandwidth	ADJ
ajst-8275	4	12	framework	framework	NOUN
ajst-8275	4	13	integrating	integrate	VERB
ajst-8275	4	14	embedded	embed	VERB
ajst-8275	4	15	fpga	fpga	PROPN
ajst-8275	4	16	technology	technology	NOUN
ajst-8275	4	17	with	with	ADP
ajst-8275	4	18	a	a	DET
ajst-8275	4	19	low	low	ADJ
ajst-8275	4	20	-	-	PUNCT
ajst-8275	4	21	power	power	NOUN
ajst-8275	4	22	nb	nb	PROPN
ajst-8275	4	23	-	-	PUNCT
ajst-8275	4	24	iotcommunication	iotcommunication	NOUN
ajst-8275	4	25	module	module	NOUN
ajst-8275	4	26	.	.	PUNCT
ajst-8275	5	1	our	our	PRON
ajst-8275	5	2	approach	approach	NOUN
ajst-8275	5	3	uses	use	VERB
ajst-8275	5	4	a	a	DET
ajst-8275	5	5	dnn	dnn	PROPN
ajst-8275	5	6	-	-	PUNCT
ajst-8275	5	7	based	base	VERB
ajst-8275	5	8	deepface	deepface	NOUN
ajst-8275	5	9	model	model	NOUN
ajst-8275	5	10	with	with	ADP
ajst-8275	5	11	front	front	ADJ
ajst-8275	5	12	face	face	NOUN
ajst-8275	5	13	detection	detection	NOUN
ajst-8275	5	14	and	and	CCONJ
ajst-8275	5	15	7	7	NUM
ajst-8275	5	16	-	-	PUNCT
ajst-8275	5	17	layer	layer	NOUN
ajst-8275	5	18	dnn	dnn	PROPN
ajst-8275	5	19	convolution	convolution	NOUN
ajst-8275	5	20	result	result	NOUN
ajst-8275	5	21	extraction	extraction	NOUN
ajst-8275	5	22	performed	perform	VERB
ajst-8275	5	23	on	on	ADP
ajst-8275	5	24	the	the	DET
ajst-8275	5	25	zynq	zynq	PROPN
ajst-8275	5	26	fpga	fpga	PROPN
ajst-8275	5	27	chip	chip	NOUN
ajst-8275	5	28	of	of	ADP
ajst-8275	5	29	sbrio	sbrio	NOUN
ajst-8275	5	30	,	,	PUNCT
ajst-8275	5	31	reducing	reduce	VERB
ajst-8275	5	32	computational	computational	ADJ
ajst-8275	5	33	overhead	overhead	NOUN
ajst-8275	5	34	and	and	CCONJ
ajst-8275	5	35	enabling	enable	VERB
ajst-8275	5	36	efficient	efficient	ADJ
ajst-8275	5	37	processing	processing	NOUN
ajst-8275	5	38	.	.	PUNCT
ajst-8275	6	1	by	by	ADP
ajst-8275	6	2	leveraging	leverage	VERB
ajst-8275	6	3	nb	nb	PROPN
ajst-8275	6	4	-	-	PUNCT
ajst-8275	6	5	iot	iot	NOUN
ajst-8275	6	6	's	's	PART
ajst-8275	6	7	remote	remote	ADJ
ajst-8275	6	8	transmission	transmission	NOUN
ajst-8275	6	9	capabilities	capability	NOUN
ajst-8275	6	10	,	,	PUNCT
ajst-8275	6	11	classification	classification	NOUN
ajst-8275	6	12	data	datum	NOUN
ajst-8275	6	13	is	be	AUX
ajst-8275	6	14	transmitted	transmit	VERB
ajst-8275	6	15	back	back	ADV
ajst-8275	6	16	to	to	ADP
ajst-8275	6	17	the	the	DET
ajst-8275	6	18	local	local	ADJ
ajst-8275	6	19	server	server	NOUN
ajst-8275	6	20	for	for	ADP
ajst-8275	6	21	comparison	comparison	NOUN
ajst-8275	6	22	.	.	PUNCT
ajst-8275	7	1	our	our	PRON
ajst-8275	7	2	proposed	propose	VERB
ajst-8275	7	3	framework	framework	NOUN
ajst-8275	7	4	improves	improve	VERB
ajst-8275	7	5	speed	speed	NOUN
ajst-8275	7	6	and	and	CCONJ
ajst-8275	7	7	accuracy	accuracy	NOUN
ajst-8275	7	8	while	while	SCONJ
ajst-8275	7	9	overcoming	overcome	VERB
ajst-8275	7	10	bandwidth	bandwidth	NOUN
ajst-8275	7	11	and	and	CCONJ
ajst-8275	7	12	processing	processing	NOUN
ajst-8275	7	13	power	power	NOUN
ajst-8275	7	14	challenges	challenge	NOUN
ajst-8275	7	15	,	,	PUNCT
ajst-8275	7	16	making	make	VERB
ajst-8275	7	17	it	it	PRON
ajst-8275	7	18	a	a	DET
ajst-8275	7	19	promising	promising	ADJ
ajst-8275	7	20	solution	solution	NOUN
ajst-8275	7	21	for	for	ADP
ajst-8275	7	22	facial	facial	ADJ
ajst-8275	7	23	recognition	recognition	NOUN
ajst-8275	7	24	in	in	ADP
ajst-8275	7	25	immersive	immersive	ADJ
ajst-8275	7	26	virtual	virtual	ADJ
ajst-8275	7	27	environments	environment	NOUN
ajst-8275	7	28	.	.	PUNCT
ajst-8275	8	1	keywords	keyword	NOUN
ajst-8275	8	2	:	:	PUNCT
ajst-8275	8	3	metaverse	metaverse	NOUN
ajst-8275	8	4	,	,	PUNCT
ajst-8275	8	5	fpga	fpga	PROPN
ajst-8275	8	6	,	,	PUNCT
ajst-8275	8	7	deepface	deepface	NOUN
ajst-8275	8	8	,	,	PUNCT
ajst-8275	8	9	nb	nb	NOUN
ajst-8275	8	10	-	-	PUNCT
ajst-8275	8	11	iot	iot	NOUN
ajst-8275	8	12	.	.	PROPN
ajst-8275	8	13	1	1	NUM
ajst-8275	8	14	.	.	X
ajst-8275	8	15	introduction	introduction	NOUN
ajst-8275	8	16	this	this	DET
ajst-8275	8	17	research	research	NOUN
ajst-8275	8	18	presents	present	VERB
ajst-8275	8	19	the	the	DET
ajst-8275	8	20	design	design	NOUN
ajst-8275	8	21	and	and	CCONJ
ajst-8275	8	22	implementation	implementation	NOUN
ajst-8275	8	23	of	of	ADP
ajst-8275	8	24	a	a	DET
ajst-8275	8	25	remote	remote	ADJ
ajst-8275	8	26	,	,	PUNCT
ajst-8275	8	27	low	low	ADJ
ajst-8275	8	28	-	-	PUNCT
ajst-8275	8	29	bandwidth	bandwidth	ADJ
ajst-8275	8	30	face	face	NOUN
ajst-8275	8	31	recognition	recognition	NOUN
ajst-8275	8	32	system	system	NOUN
ajst-8275	8	33	for	for	ADP
ajst-8275	8	34	the	the	DET
ajst-8275	8	35	metaverse	metaverse	NOUN
ajst-8275	8	36	,	,	PUNCT
ajst-8275	8	37	utilizing	utilize	VERB
ajst-8275	8	38	the	the	DET
ajst-8275	8	39	sbrio	sbrio	NOUN
ajst-8275	8	40	fpga	fpga	PROPN
ajst-8275	8	41	[	[	X
ajst-8275	8	42	1	1	NUM
ajst-8275	8	43	]	]	X
ajst-8275	8	44	hardware	hardware	NOUN
ajst-8275	8	45	platform	platform	NOUN
ajst-8275	8	46	and	and	CCONJ
ajst-8275	8	47	nb	nb	NOUN
ajst-8275	8	48	-	-	PUNCT
ajst-8275	8	49	iot	iot	NOUN
ajst-8275	8	50	module	module	NOUN
ajst-8275	8	51	[	[	X
ajst-8275	8	52	2	2	NUM
ajst-8275	8	53	]	]	PUNCT
ajst-8275	8	54	.	.	PUNCT
ajst-8275	9	1	the	the	DET
ajst-8275	9	2	system	system	NOUN
ajst-8275	9	3	architecture	architecture	NOUN
ajst-8275	9	4	can	can	AUX
ajst-8275	9	5	be	be	AUX
ajst-8275	9	6	divided	divide	VERB
ajst-8275	9	7	into	into	ADP
ajst-8275	9	8	four	four	NUM
ajst-8275	9	9	functional	functional	ADJ
ajst-8275	9	10	modules	module	NOUN
ajst-8275	9	11	:	:	PUNCT
ajst-8275	9	12	high	high	ADJ
ajst-8275	9	13	-	-	PUNCT
ajst-8275	9	14	definition	definition	NOUN
ajst-8275	9	15	camera	camera	NOUN
ajst-8275	9	16	acquisition	acquisition	NOUN
ajst-8275	9	17	,	,	PUNCT
ajst-8275	9	18	fpga	fpga	PROPN
ajst-8275	9	19	-	-	PUNCT
ajst-8275	9	20	based	base	VERB
ajst-8275	9	21	dnns	dnn	NOUN
ajst-8275	9	22	[	[	X
ajst-8275	9	23	3	3	NUM
ajst-8275	9	24	]	]	PUNCT
ajst-8275	9	25	utilizing	utilize	VERB
ajst-8275	9	26	the	the	DET
ajst-8275	9	27	deepface	deepface	NOUN
ajst-8275	9	28	model	model	NOUN
ajst-8275	9	29	[	[	X
ajst-8275	9	30	4	4	NUM
ajst-8275	9	31	]	]	PUNCT
ajst-8275	9	32	,	,	PUNCT
ajst-8275	9	33	nb	nb	PROPN
ajst-8275	9	34	-	-	PUNCT
ajst-8275	9	35	iot	iot	ADJ
ajst-8275	9	36	remote	remote	ADJ
ajst-8275	9	37	communication	communication	NOUN
ajst-8275	9	38	,	,	PUNCT
ajst-8275	9	39	and	and	CCONJ
ajst-8275	9	40	local	local	ADJ
ajst-8275	9	41	server	server	NOUN
ajst-8275	9	42	reception	reception	NOUN
ajst-8275	9	43	,	,	PUNCT
ajst-8275	9	44	as	as	SCONJ
ajst-8275	9	45	shown	show	VERB
ajst-8275	9	46	in	in	ADP
ajst-8275	9	47	figure	figure	NOUN
ajst-8275	9	48	1	1	NUM
ajst-8275	9	49	.	.	PUNCT
ajst-8275	10	1	the	the	DET
ajst-8275	10	2	proposed	propose	VERB
ajst-8275	10	3	approach	approach	NOUN
ajst-8275	10	4	enables	enable	VERB
ajst-8275	10	5	efficient	efficient	ADJ
ajst-8275	10	6	and	and	CCONJ
ajst-8275	10	7	accurate	accurate	ADJ
ajst-8275	10	8	face	face	NOUN
ajst-8275	10	9	recognition	recognition	NOUN
ajst-8275	10	10	within	within	ADP
ajst-8275	10	11	the	the	DET
ajst-8275	10	12	constraints	constraint	NOUN
ajst-8275	10	13	of	of	ADP
ajst-8275	10	14	the	the	DET
ajst-8275	10	15	metaverse	metaverse	NOUN
ajst-8275	10	16	,	,	PUNCT
ajst-8275	10	17	providing	provide	VERB
ajst-8275	10	18	a	a	DET
ajst-8275	10	19	practical	practical	ADJ
ajst-8275	10	20	solution	solution	NOUN
ajst-8275	10	21	for	for	ADP
ajst-8275	10	22	immersive	immersive	ADJ
ajst-8275	10	23	virtual	virtual	ADJ
ajst-8275	10	24	environments	environment	NOUN
ajst-8275	10	25	.	.	PUNCT
ajst-8275	11	1	this	this	DET
ajst-8275	11	2	system	system	NOUN
ajst-8275	11	3	has	have	VERB
ajst-8275	11	4	significant	significant	ADJ
ajst-8275	11	5	potential	potential	NOUN
ajst-8275	11	6	for	for	ADP
ajst-8275	11	7	various	various	ADJ
ajst-8275	11	8	metaverse	metaverse	NOUN
ajst-8275	11	9	applications	application	NOUN
ajst-8275	11	10	,	,	PUNCT
ajst-8275	11	11	such	such	ADJ
ajst-8275	11	12	as	as	ADP
ajst-8275	11	13	virtual	virtual	ADJ
ajst-8275	11	14	social	social	ADJ
ajst-8275	11	15	interactions	interaction	NOUN
ajst-8275	11	16	,	,	PUNCT
ajst-8275	11	17	virtual	virtual	ADJ
ajst-8275	11	18	commerce	commerce	NOUN
ajst-8275	11	19	,	,	PUNCT
ajst-8275	11	20	and	and	CCONJ
ajst-8275	11	21	virtual	virtual	ADJ
ajst-8275	11	22	entertainment	entertainment	NOUN
ajst-8275	11	23	.	.	PUNCT
ajst-8275	12	1	our	our	PRON
ajst-8275	12	2	research	research	NOUN
ajst-8275	12	3	contributes	contribute	VERB
ajst-8275	12	4	to	to	ADP
ajst-8275	12	5	the	the	DET
ajst-8275	12	6	development	development	NOUN
ajst-8275	12	7	of	of	ADP
ajst-8275	12	8	advanced	advanced	ADJ
ajst-8275	12	9	face	face	NOUN
ajst-8275	12	10	recognition	recognition	NOUN
ajst-8275	12	11	techniques	technique	NOUN
ajst-8275	12	12	in	in	ADP
ajst-8275	12	13	the	the	DET
ajst-8275	12	14	context	context	NOUN
ajst-8275	12	15	of	of	ADP
ajst-8275	12	16	the	the	DET
ajst-8275	12	17	metaverse	metaverse	NOUN
ajst-8275	12	18	,	,	PUNCT
ajst-8275	12	19	providing	provide	VERB
ajst-8275	12	20	a	a	DET
ajst-8275	12	21	valuable	valuable	ADJ
ajst-8275	12	22	contribution	contribution	NOUN
ajst-8275	12	23	to	to	ADP
ajst-8275	12	24	the	the	DET
ajst-8275	12	25	field	field	NOUN
ajst-8275	12	26	of	of	ADP
ajst-8275	12	27	virtual	virtual	ADJ
ajst-8275	12	28	reality	reality	NOUN
ajst-8275	12	29	and	and	CCONJ
ajst-8275	12	30	immersive	immersive	ADJ
ajst-8275	12	31	technology	technology	NOUN
ajst-8275	12	32	.	.	PUNCT
ajst-8275	13	1	image	image	NOUN
ajst-8275	13	2	  	  	SPACE
ajst-8275	13	3	capture	capture	NOUN
ajst-8275	13	4	(	(	PUNCT
ajst-8275	13	5	a	a	X
ajst-8275	13	6	)	)	PUNCT
ajst-8275	13	7	7‐dnn	7‐dnn	NUM
ajst-8275	13	8	 	 	SPACE
ajst-8275	13	9	on	on	ADP
ajst-8275	13	10	 	 	SPACE
ajst-8275	13	11	fpga	fpga	PROPN
ajst-8275	13	12	(	(	PUNCT
ajst-8275	13	13	b	b	NOUN
ajst-8275	13	14	)	)	PUNCT
ajst-8275	13	15	nb‐iot	nb‐iot	ADJ
ajst-8275	13	16	communication	communication	NOUN
ajst-8275	13	17	(	(	PUNCT
ajst-8275	13	18	c	c	NOUN
ajst-8275	13	19	)	)	PUNCT
ajst-8275	13	20	deepface	deepface	NOUN
ajst-8275	13	21	  	  	SPACE
ajst-8275	13	22	recognition	recognition	NOUN
ajst-8275	13	23	(	(	PUNCT
ajst-8275	13	24	b	b	NOUN
ajst-8275	13	25	)	)	PUNCT
ajst-8275	13	26	local	local	ADJ
ajst-8275	13	27	  	  	SPACE
ajst-8275	13	28	server	server	NOUN
ajst-8275	13	29	pc	pc	NOUN
ajst-8275	13	30	(	(	PUNCT
ajst-8275	13	31	d	d	NOUN
ajst-8275	13	32	)	)	PUNCT
ajst-8275	13	33	metaverse	metaverse	NOUN
ajst-8275	13	34	figure	figure	NOUN
ajst-8275	13	35	1	1	NUM
ajst-8275	13	36	.	.	PUNCT
ajst-8275	13	37	system	system	NOUN
ajst-8275	13	38	function	function	NOUN
ajst-8275	13	39	structure	structure	NOUN
ajst-8275	13	40	chart	chart	VERB
ajst-8275	13	41	the	the	DET
ajst-8275	13	42	proposed	propose	VERB
ajst-8275	13	43	system	system	NOUN
ajst-8275	13	44	for	for	ADP
ajst-8275	13	45	efficient	efficient	ADJ
ajst-8275	13	46	and	and	CCONJ
ajst-8275	13	47	accurate	accurate	ADJ
ajst-8275	13	48	face	face	NOUN
ajst-8275	13	49	recognition	recognition	NOUN
ajst-8275	13	50	in	in	ADP
ajst-8275	13	51	the	the	DET
ajst-8275	13	52	metaverse	metaverse	NOUN
ajst-8275	13	53	involves	involve	VERB
ajst-8275	13	54	four	four	NUM
ajst-8275	13	55	functional	functional	ADJ
ajst-8275	13	56	modules	module	NOUN
ajst-8275	13	57	as	as	ADP
ajst-8275	13	58	figure	figure	NOUN
ajst-8275	13	59	1	1	NUM
ajst-8275	13	60	:	:	PUNCT
ajst-8275	13	61	(	(	PUNCT
ajst-8275	13	62	a	a	X
ajst-8275	13	63	)	)	PUNCT
ajst-8275	13	64	high	high	ADJ
ajst-8275	13	65	-	-	PUNCT
ajst-8275	13	66	definition	definition	NOUN
ajst-8275	13	67	image	image	NOUN
ajst-8275	13	68	acquisition	acquisition	NOUN
ajst-8275	13	69	,	,	PUNCT
ajst-8275	13	70	(	(	PUNCT
ajst-8275	13	71	b	b	X
ajst-8275	13	72	)	)	PUNCT
ajst-8275	13	73	dnnfpga	dnnfpga	NOUN
ajst-8275	13	74	operation,(c	operation,(c	PROPN
ajst-8275	13	75	)	)	PUNCT
ajst-8275	13	76	nb	nb	NOUN
ajst-8275	13	77	-	-	PUNCT
ajst-8275	13	78	iot	iot	ADJ
ajst-8275	13	79	remote	remote	ADJ
ajst-8275	13	80	communication	communication	NOUN
ajst-8275	13	81	,	,	PUNCT
ajst-8275	13	82	and	and	CCONJ
ajst-8275	13	83	(	(	PUNCT
ajst-8275	13	84	d	d	X
ajst-8275	13	85	)	)	PUNCT
ajst-8275	13	86	local	local	ADJ
ajst-8275	13	87	server	server	NOUN
ajst-8275	13	88	comparison	comparison	NOUN
ajst-8275	13	89	.	.	PUNCT
ajst-8275	14	1	the	the	DET
ajst-8275	14	2	2	2	NUM
ajst-8275	14	3	-	-	PUNCT
ajst-8275	14	4	megapixel	megapixel	PROPN
ajst-8275	14	5	ov5640	ov5640	PROPN
ajst-8275	14	6	camera	camera	NOUN
ajst-8275	14	7	module	module	NOUN
ajst-8275	14	8	captures	capture	VERB
ajst-8275	14	9	high	high	ADJ
ajst-8275	14	10	-	-	PUNCT
ajst-8275	14	11	definition	definition	NOUN
ajst-8275	14	12	images	image	NOUN
ajst-8275	14	13	[	[	X
ajst-8275	14	14	5	5	NUM
ajst-8275	14	15	]	]	PUNCT
ajst-8275	14	16	.	.	PUNCT
ajst-8275	15	1	on	on	ADP
ajst-8275	15	2	the	the	DET
ajst-8275	15	3	sbrio	sbrio	PROPN
ajst-8275	15	4	fpga	fpga	PROPN
ajst-8275	15	5	platform	platform	NOUN
ajst-8275	15	6	,	,	PUNCT
ajst-8275	15	7	the	the	DET
ajst-8275	15	8	7	7	NUM
ajst-8275	15	9	-	-	PUNCT
ajst-8275	15	10	layer	layer	NOUN
ajst-8275	15	11	dnn	dnn	NOUN
ajst-8275	15	12	of	of	ADP
ajst-8275	15	13	the	the	DET
ajst-8275	15	14	deepface	deepface	NOUN
ajst-8275	15	15	model	model	NOUN
ajst-8275	15	16	is	be	AUX
ajst-8275	15	17	completed	complete	VERB
ajst-8275	15	18	,	,	PUNCT
ajst-8275	15	19	generating	generate	VERB
ajst-8275	15	20	(	(	PUNCT
ajst-8275	15	21	32	32	NUM
ajst-8275	15	22	*	*	SYM
ajst-8275	15	23	32	32	NUM
ajst-8275	15	24	*	*	SYM
ajst-8275	15	25	8	8	NUM
ajst-8275	15	26	bits)1024	bits)1024	NOUN
ajst-8275	15	27	-	-	PUNCT
ajst-8275	15	28	bytes	byte	NOUN
ajst-8275	15	29	classification	classification	NOUN
ajst-8275	15	30	data	datum	NOUN
ajst-8275	15	31	.	.	PUNCT
ajst-8275	16	1	the	the	DET
ajst-8275	16	2	nb	nb	PROPN
ajst-8275	16	3	-	-	PUNCT
ajst-8275	16	4	iot	iot	NOUN
ajst-8275	16	5	module	module	NOUN
ajst-8275	16	6	with	with	ADP
ajst-8275	16	7	the	the	DET
ajst-8275	16	8	coap	coap	PROPN
ajst-8275	16	9	protocol	protocol	PROPN
ajst-8275	16	10	sends	send	VERB
ajst-8275	16	11	the	the	DET
ajst-8275	16	12	data	datum	NOUN
ajst-8275	16	13	back	back	ADV
ajst-8275	16	14	to	to	ADP
ajst-8275	16	15	the	the	DET
ajst-8275	16	16	remote	remote	ADJ
ajst-8275	16	17	server	server	NOUN
ajst-8275	16	18	[	[	X
ajst-8275	16	19	6	6	NUM
ajst-8275	16	20	]	]	PUNCT
ajst-8275	16	21	,	,	PUNCT
ajst-8275	16	22	and	and	CCONJ
ajst-8275	16	23	the	the	DET
ajst-8275	16	24	classification	classification	NOUN
ajst-8275	16	25	data	data	NOUN
ajst-8275	16	26	is	be	AUX
ajst-8275	16	27	compared	compare	VERB
ajst-8275	16	28	with	with	ADP
ajst-8275	16	29	the	the	DET
ajst-8275	16	30	primary	primary	ADJ
ajst-8275	16	31	key	key	NOUN
ajst-8275	16	32	in	in	ADP
ajst-8275	16	33	the	the	DET
ajst-8275	16	34	local	local	ADJ
ajst-8275	16	35	mysql	mysql	NOUN
ajst-8275	16	36	database	database	NOUN
ajst-8275	16	37	to	to	PART
ajst-8275	16	38	display	display	VERB
ajst-8275	16	39	real	real	ADJ
ajst-8275	16	40	-	-	PUNCT
ajst-8275	16	41	time	time	NOUN
ajst-8275	16	42	face	face	NOUN
ajst-8275	16	43	recognition	recognition	NOUN
ajst-8275	16	44	results	result	NOUN
ajst-8275	16	45	.	.	PUNCT
ajst-8275	17	1	the	the	DET
ajst-8275	17	2	system	system	NOUN
ajst-8275	17	3	offers	offer	VERB
ajst-8275	17	4	a	a	DET
ajst-8275	17	5	practical	practical	ADJ
ajst-8275	17	6	solution	solution	NOUN
ajst-8275	17	7	for	for	ADP
ajst-8275	17	8	lowbandwidth	lowbandwidth	ADJ
ajst-8275	17	9	face	face	NOUN
ajst-8275	17	10	recognition	recognition	NOUN
ajst-8275	17	11	in	in	ADP
ajst-8275	17	12	the	the	DET
ajst-8275	17	13	metaverse	metaverse	NOUN
ajst-8275	17	14	,	,	PUNCT
ajst-8275	17	15	with	with	ADP
ajst-8275	17	16	potential	potential	ADJ
ajst-8275	17	17	applications	application	NOUN
ajst-8275	17	18	in	in	ADP
ajst-8275	17	19	virtual	virtual	ADJ
ajst-8275	17	20	social	social	ADJ
ajst-8275	17	21	interactions	interaction	NOUN
ajst-8275	17	22	,	,	PUNCT
ajst-8275	17	23	virtual	virtual	ADJ
ajst-8275	17	24	commerce	commerce	NOUN
ajst-8275	17	25	,	,	PUNCT
ajst-8275	17	26	and	and	CCONJ
ajst-8275	17	27	virtual	virtual	ADJ
ajst-8275	17	28	entertainment	entertainment	NOUN
ajst-8275	17	29	.	.	PUNCT
ajst-8275	18	1	15	15	NUM
ajst-8275	18	2	2	2	NUM
ajst-8275	18	3	 	 	SPACE
ajst-8275	18	4	mega‐pixel	mega‐pixel	NOUN
ajst-8275	18	5	image	image	NOUN
ajst-8275	18	6	 	 	SPACE
ajst-8275	18	7	capture	capture	NOUN
ajst-8275	18	8	module	module	NOUN
ajst-8275	18	9	deepface	deepface	NOUN
ajst-8275	18	10	 	 	SPACE
ajst-8275	18	11	model	model	NOUN
ajst-8275	18	12	on	on	ADP
ajst-8275	18	13	 	 	SPACE
ajst-8275	18	14	dnn	dnn	PROPN
ajst-8275	18	15	 	 	SPACE
ajst-8275	18	16	of	of	ADP
ajst-8275	18	17	zynq	zynq	PROPN
ajst-8275	18	18	 	 	SPACE
ajst-8275	18	19	fpga	fpga	PROPN
ajst-8275	18	20	platform	platform	NOUN
ajst-8275	18	21	nb‐iot	nb‐iot	ADJ
ajst-8275	18	22	communication	communication	NOUN
ajst-8275	18	23	module	module	NOUN
ajst-8275	18	24	local	local	ADJ
ajst-8275	18	25	 	 	SPACE
ajst-8275	18	26	server	server	NOUN
ajst-8275	18	27	pc	pc	NOUN
ajst-8275	18	28	metaverse	metaverse	NOUN
ajst-8275	18	29	gpio	gpio	NOUN
ajst-8275	18	30	/	/	SYM
ajst-8275	18	31	iic	iic	PROPN
ajst-8275	18	32	rs232coaphttp	rs232coaphttp	PROPN
ajst-8275	18	33	remote	remote	ADJ
ajst-8275	18	34	 	 	SPACE
ajst-8275	18	35	terminal(sbrio	terminal(sbrio	PROPN
ajst-8275	18	36	 	 	SPACE
ajst-8275	18	37	9607)local	9607)local	PROPN
ajst-8275	18	38	  	  	SPACE
ajst-8275	18	39	terminal(pc	terminal(pc	NOUN
ajst-8275	18	40	)	)	PUNCT
ajst-8275	18	41	figure	figure	NOUN
ajst-8275	18	42	2	2	NUM
ajst-8275	18	43	.	.	PUNCT
ajst-8275	18	44	hardware	hardware	NOUN
ajst-8275	18	45	structure	structure	NOUN
ajst-8275	18	46	chart	chart	VERB
ajst-8275	18	47	the	the	DET
ajst-8275	18	48	hardware	hardware	NOUN
ajst-8275	18	49	structure	structure	NOUN
ajst-8275	18	50	for	for	ADP
ajst-8275	18	51	the	the	DET
ajst-8275	18	52	proposed	propose	VERB
ajst-8275	18	53	system	system	NOUN
ajst-8275	18	54	is	be	AUX
ajst-8275	18	55	divided	divide	VERB
ajst-8275	18	56	into	into	ADP
ajst-8275	18	57	two	two	NUM
ajst-8275	18	58	parts	part	NOUN
ajst-8275	18	59	as	as	ADP
ajst-8275	18	60	figure	figure	NOUN
ajst-8275	18	61	2	2	NUM
ajst-8275	18	62	:	:	PUNCT
ajst-8275	18	63	the	the	DET
ajst-8275	18	64	local	local	ADJ
ajst-8275	18	65	terminal	terminal	NOUN
ajst-8275	18	66	and	and	CCONJ
ajst-8275	18	67	the	the	DET
ajst-8275	18	68	remote	remote	ADJ
ajst-8275	18	69	terminal	terminal	NOUN
ajst-8275	18	70	.	.	PUNCT
ajst-8275	19	1	the	the	DET
ajst-8275	19	2	remote	remote	ADJ
ajst-8275	19	3	terminal	terminal	NOUN
ajst-8275	19	4	consists	consist	VERB
ajst-8275	19	5	of	of	ADP
ajst-8275	19	6	the	the	DET
ajst-8275	19	7	fpga	fpga	PROPN
ajst-8275	19	8	hardware	hardware	NOUN
ajst-8275	19	9	,	,	PUNCT
ajst-8275	19	10	camera	camera	NOUN
ajst-8275	19	11	module	module	NOUN
ajst-8275	19	12	,	,	PUNCT
ajst-8275	19	13	and	and	CCONJ
ajst-8275	19	14	nb	nb	PROPN
ajst-8275	19	15	-	-	PUNCT
ajst-8275	19	16	iot	iot	NOUN
ajst-8275	19	17	module	module	NOUN
ajst-8275	19	18	.	.	PUNCT
ajst-8275	20	1	dnns	dnn	NOUN
ajst-8275	20	2	are	be	AUX
ajst-8275	20	3	implemented	implement	VERB
ajst-8275	20	4	on	on	ADP
ajst-8275	20	5	the	the	DET
ajst-8275	20	6	fpga	fpga	PROPN
ajst-8275	20	7	resource	resource	NOUN
ajst-8275	20	8	using	use	VERB
ajst-8275	20	9	labview	labview	NOUN
ajst-8275	20	10	to	to	PART
ajst-8275	20	11	run	run	VERB
ajst-8275	20	12	the	the	DET
ajst-8275	20	13	deepface	deepface	NOUN
ajst-8275	20	14	model	model	NOUN
ajst-8275	20	15	.	.	PUNCT
ajst-8275	21	1	the	the	DET
ajst-8275	21	2	classification	classification	NOUN
ajst-8275	21	3	data	datum	NOUN
ajst-8275	21	4	is	be	AUX
ajst-8275	21	5	transmitted	transmit	VERB
ajst-8275	21	6	through	through	ADP
ajst-8275	21	7	the	the	DET
ajst-8275	21	8	nb	nb	PROPN
ajst-8275	21	9	-	-	PUNCT
ajst-8275	21	10	iot	iot	NOUN
ajst-8275	21	11	module	module	NOUN
ajst-8275	21	12	to	to	ADP
ajst-8275	21	13	the	the	DET
ajst-8275	21	14	local	local	ADJ
ajst-8275	21	15	terminal	terminal	NOUN
ajst-8275	21	16	,	,	PUNCT
ajst-8275	21	17	where	where	SCONJ
ajst-8275	21	18	it	it	PRON
ajst-8275	21	19	is	be	AUX
ajst-8275	21	20	compared	compare	VERB
ajst-8275	21	21	with	with	ADP
ajst-8275	21	22	the	the	DET
ajst-8275	21	23	primary	primary	ADJ
ajst-8275	21	24	key	key	NOUN
ajst-8275	21	25	in	in	ADP
ajst-8275	21	26	the	the	DET
ajst-8275	21	27	local	local	ADJ
ajst-8275	21	28	mysql	mysql	NOUN
ajst-8275	21	29	database	database	NOUN
ajst-8275	21	30	.	.	PUNCT
ajst-8275	22	1	both	both	DET
ajst-8275	22	2	local	local	ADJ
ajst-8275	22	3	and	and	CCONJ
ajst-8275	22	4	remote	remote	ADJ
ajst-8275	22	5	terminal	terminal	ADJ
ajst-8275	22	6	development	development	NOUN
ajst-8275	22	7	processes	process	NOUN
ajst-8275	22	8	are	be	AUX
ajst-8275	22	9	done	do	VERB
ajst-8275	22	10	using	use	VERB
ajst-8275	22	11	labview	labview	NOUN
ajst-8275	22	12	,	,	PUNCT
ajst-8275	22	13	offering	offer	VERB
ajst-8275	22	14	a	a	DET
ajst-8275	22	15	practical	practical	ADJ
ajst-8275	22	16	solution	solution	NOUN
ajst-8275	22	17	for	for	ADP
ajst-8275	22	18	lowbandwidth	lowbandwidth	ADJ
ajst-8275	22	19	face	face	NOUN
ajst-8275	22	20	recognition	recognition	NOUN
ajst-8275	22	21	in	in	ADP
ajst-8275	22	22	the	the	DET
ajst-8275	22	23	metaverse	metaverse	NOUN
ajst-8275	22	24	with	with	ADP
ajst-8275	22	25	potential	potential	ADJ
ajst-8275	22	26	applications	application	NOUN
ajst-8275	22	27	in	in	ADP
ajst-8275	22	28	virtual	virtual	ADJ
ajst-8275	22	29	social	social	ADJ
ajst-8275	22	30	interactions	interaction	NOUN
ajst-8275	22	31	,	,	PUNCT
ajst-8275	22	32	commerce	commerce	NOUN
ajst-8275	22	33	,	,	PUNCT
ajst-8275	22	34	and	and	CCONJ
ajst-8275	22	35	entertainment	entertainment	NOUN
ajst-8275	22	36	.	.	PUNCT
ajst-8275	23	1	the	the	DET
ajst-8275	23	2	local	local	ADJ
ajst-8275	23	3	terminal	terminal	NOUN
ajst-8275	23	4	used	use	VERB
ajst-8275	23	5	for	for	ADP
ajst-8275	23	6	comparison	comparison	NOUN
ajst-8275	23	7	operations	operation	NOUN
ajst-8275	23	8	has	have	VERB
ajst-8275	23	9	an	an	DET
ajst-8275	23	10	intel	intel	PROPN
ajst-8275	23	11	i7	i7	NOUN
ajst-8275	23	12	cpu	cpu	NOUN
ajst-8275	23	13	,	,	PUNCT
ajst-8275	23	14	8	8	NUM
ajst-8275	23	15	gb	gb	PROPN
ajst-8275	23	16	ddr4	ddr4	PROPN
ajst-8275	23	17	ram	ram	NOUN
ajst-8275	23	18	,	,	PUNCT
ajst-8275	23	19	and	and	CCONJ
ajst-8275	23	20	gigabit	gigabit	NOUN
ajst-8275	23	21	ethernet	ethernet	NOUN
ajst-8275	23	22	,	,	PUNCT
ajst-8275	23	23	while	while	SCONJ
ajst-8275	23	24	the	the	DET
ajst-8275	23	25	remote	remote	ADJ
ajst-8275	23	26	terminal	terminal	NOUN
ajst-8275	23	27	includes	include	VERB
ajst-8275	23	28	an	an	DET
ajst-8275	23	29	ov5640	ov5640	ADJ
ajst-8275	23	30	camera	camera	NOUN
ajst-8275	23	31	module	module	NOUN
ajst-8275	23	32	,	,	PUNCT
ajst-8275	23	33	a	a	DET
ajst-8275	23	34	zynq	zynq	NOUN
ajst-8275	23	35	7020	7020	NUM
ajst-8275	23	36	chip	chip	NOUN
ajst-8275	23	37	,	,	PUNCT
ajst-8275	23	38	and	and	CCONJ
ajst-8275	23	39	an	an	DET
ajst-8275	23	40	nb	nb	ADJ
ajst-8275	23	41	-	-	PUNCT
ajst-8275	23	42	iot	iot	NOUN
ajst-8275	23	43	module	module	NOUN
ajst-8275	23	44	with	with	ADP
ajst-8275	23	45	a	a	DET
ajst-8275	23	46	baud	baud	NOUN
ajst-8275	23	47	rate	rate	NOUN
ajst-8275	23	48	of	of	ADP
ajst-8275	23	49	115200bps	115200bps	NOUN
ajst-8275	23	50	.	.	PUNCT
ajst-8275	24	1	the	the	DET
ajst-8275	24	2	remote	remote	ADJ
ajst-8275	24	3	terminal	terminal	NOUN
ajst-8275	24	4	has	have	VERB
ajst-8275	24	5	a	a	DET
ajst-8275	24	6	maximum	maximum	ADJ
ajst-8275	24	7	current	current	NOUN
ajst-8275	24	8	of	of	ADP
ajst-8275	24	9	268ma	268ma	NOUN
ajst-8275	24	10	and	and	CCONJ
ajst-8275	24	11	a	a	DET
ajst-8275	24	12	receive	receive	NOUN
ajst-8275	24	13	sensitivity	sensitivity	NOUN
ajst-8275	24	14	of	of	ADP
ajst-8275	24	15	-129dbm	-129dbm	NOUN
ajst-8275	24	16	,	,	PUNCT
ajst-8275	24	17	and	and	CCONJ
ajst-8275	24	18	the	the	DET
ajst-8275	24	19	transmit	transmit	NOUN
ajst-8275	24	20	power	power	NOUN
ajst-8275	24	21	ranges	range	VERB
ajst-8275	24	22	from	from	ADP
ajst-8275	24	23	23dbm	23dbm	NOUN
ajst-8275	24	24	to	to	ADP
ajst-8275	24	25	-40dbm	-40dbm	PROPN
ajst-8275	24	26	.	.	PUNCT
ajst-8275	25	1	2	2	X
ajst-8275	25	2	.	.	X
ajst-8275	25	3	implementation	implementation	NOUN
ajst-8275	25	4	of	of	ADP
ajst-8275	25	5	image	image	NOUN
ajst-8275	25	6	acquisition	acquisition	NOUN
ajst-8275	25	7	on	on	ADP
ajst-8275	25	8	fpga	fpga	PROPN
ajst-8275	25	9	and	and	CCONJ
ajst-8275	25	10	deepface	deepface	NOUN
ajst-8275	25	11	model	model	NOUN
ajst-8275	25	12	on	on	ADP
ajst-8275	25	13	remote	remote	ADJ
ajst-8275	25	14	terminal	terminal	ADJ
ajst-8275	25	15	2.1	2.1	NUM
ajst-8275	25	16	.	.	PUNCT
ajst-8275	26	1	image	image	NOUN
ajst-8275	26	2	acquisition	acquisition	NOUN
ajst-8275	26	3	on	on	ADP
ajst-8275	26	4	fpga	fpga	PROPN
ajst-8275	26	5	dram	dram	PROPN
ajst-8275	26	6	zynq	zynq	PROPN
ajst-8275	26	7	7020	7020	NUM
ajst-8275	26	8	fpga	fpga	PROPN
ajst-8275	26	9	figure	figure	NOUN
ajst-8275	26	10	3	3	NUM
ajst-8275	26	11	.	.	PUNCT
ajst-8275	26	12	schematic	schematic	ADJ
ajst-8275	26	13	circuit	circuit	NOUN
ajst-8275	26	14	diagram	diagram	NOUN
ajst-8275	26	15	of	of	ADP
ajst-8275	26	16	cmos	cmos	PROPN
ajst-8275	26	17	sensor	sensor	NOUN
ajst-8275	26	18	with	with	ADP
ajst-8275	26	19	zynq	zynq	PROPN
ajst-8275	26	20	7020	7020	NUM
ajst-8275	26	21	fpga	fpga	PROPN
ajst-8275	26	22	as	as	ADP
ajst-8275	26	23	figure	figure	NOUN
ajst-8275	26	24	3	3	NUM
ajst-8275	26	25	,	,	PUNCT
ajst-8275	26	26	the	the	DET
ajst-8275	26	27	schematic	schematic	ADJ
ajst-8275	26	28	circuit	circuit	NOUN
ajst-8275	26	29	diagram	diagram	NOUN
ajst-8275	26	30	describes	describe	VERB
ajst-8275	26	31	a	a	DET
ajst-8275	26	32	streamlined	streamlined	ADJ
ajst-8275	26	33	image	image	NOUN
ajst-8275	26	34	acquisition	acquisition	NOUN
ajst-8275	26	35	framework	framework	NOUN
ajst-8275	26	36	developed	develop	VERB
ajst-8275	26	37	using	use	VERB
ajst-8275	26	38	a	a	DET
ajst-8275	26	39	stable	stable	ADJ
ajst-8275	26	40	vhd	vhd	NOUN
ajst-8275	26	41	ip	ip	NOUN
ajst-8275	26	42	core	core	NOUN
ajst-8275	26	43	of	of	ADP
ajst-8275	26	44	the	the	DET
ajst-8275	26	45	ov5620	ov5620	PROPN
ajst-8275	26	46	sensor	sensor	NOUN
ajst-8275	26	47	to	to	PART
ajst-8275	26	48	improve	improve	VERB
ajst-8275	26	49	the	the	DET
ajst-8275	26	50	efficiency	efficiency	NOUN
ajst-8275	26	51	of	of	ADP
ajst-8275	26	52	image	image	NOUN
ajst-8275	26	53	acquisition	acquisition	NOUN
ajst-8275	26	54	.	.	PUNCT
ajst-8275	27	1	the	the	DET
ajst-8275	27	2	ov5620	ov5620	PROPN
ajst-8275	27	3	image	image	NOUN
ajst-8275	27	4	sensor	sensor	NOUN
ajst-8275	27	5	has	have	VERB
ajst-8275	27	6	a	a	DET
ajst-8275	27	7	resolution	resolution	NOUN
ajst-8275	27	8	of	of	ADP
ajst-8275	27	9	2592	2592	NUM
ajst-8275	27	10	*	*	SYM
ajst-8275	27	11	1944	1944	NUM
ajst-8275	27	12	and	and	CCONJ
ajst-8275	27	13	a	a	DET
ajst-8275	27	14	data	data	NOUN
ajst-8275	27	15	bit	bit	NOUN
ajst-8275	27	16	width	width	NOUN
ajst-8275	27	17	of	of	ADP
ajst-8275	27	18	10	10	NUM
ajst-8275	27	19	bits	bit	NOUN
ajst-8275	27	20	,	,	PUNCT
ajst-8275	27	21	and	and	CCONJ
ajst-8275	27	22	outputs	output	VERB
ajst-8275	27	23	raw	raw	ADJ
ajst-8275	27	24	rgb	rgb	PROPN
ajst-8275	27	25	in	in	ADP
ajst-8275	27	26	progressive	progressive	ADJ
ajst-8275	27	27	scan	scan	PROPN
ajst-8275	27	28	mode	mode	NOUN
ajst-8275	27	29	[	[	X
ajst-8275	27	30	7	7	NUM
ajst-8275	27	31	]	]	PUNCT
ajst-8275	27	32	.	.	PUNCT
ajst-8275	28	1	the	the	DET
ajst-8275	28	2	image	image	NOUN
ajst-8275	28	3	sensor	sensor	NOUN
ajst-8275	28	4	is	be	AUX
ajst-8275	28	5	configured	configure	VERB
ajst-8275	28	6	through	through	ADP
ajst-8275	28	7	the	the	DET
ajst-8275	28	8	sccb	sccb	NOUN
ajst-8275	28	9	protocol	protocol	NOUN
ajst-8275	28	10	to	to	PART
ajst-8275	28	11	enter	enter	VERB
ajst-8275	28	12	the	the	DET
ajst-8275	28	13	working	work	VERB
ajst-8275	28	14	state	state	NOUN
ajst-8275	28	15	.	.	PUNCT
ajst-8275	29	1	the	the	DET
ajst-8275	29	2	falling	fall	VERB
ajst-8275	29	3	edge	edge	NOUN
ajst-8275	29	4	of	of	ADP
ajst-8275	29	5	the	the	DET
ajst-8275	29	6	frame	frame	NOUN
ajst-8275	29	7	synchronization	synchronization	NOUN
ajst-8275	29	8	signals	signal	VERB
ajst-8275	29	9	vsync	vsync	NOUN
ajst-8275	29	10	and	and	CCONJ
ajst-8275	29	11	href	href	NOUN
ajst-8275	29	12	is	be	AUX
ajst-8275	29	13	then	then	ADV
ajst-8275	29	14	evaluated	evaluate	VERB
ajst-8275	29	15	within	within	ADP
ajst-8275	29	16	the	the	DET
ajst-8275	29	17	fpga	fpga	NOUN
ajst-8275	29	18	to	to	PART
ajst-8275	29	19	determine	determine	VERB
ajst-8275	29	20	the	the	DET
ajst-8275	29	21	start	start	NOUN
ajst-8275	29	22	of	of	ADP
ajst-8275	29	23	a	a	DET
ajst-8275	29	24	new	new	ADJ
ajst-8275	29	25	frame	frame	NOUN
ajst-8275	29	26	.	.	PUNCT
ajst-8275	30	1	after	after	SCONJ
ajst-8275	30	2	a	a	DET
ajst-8275	30	3	new	new	ADJ
ajst-8275	30	4	frame	frame	NOUN
ajst-8275	30	5	starts	start	VERB
ajst-8275	30	6	,	,	PUNCT
ajst-8275	30	7	the	the	DET
ajst-8275	30	8	ov5620	ov5620	NOUN
ajst-8275	30	9	transfers	transfer	VERB
ajst-8275	30	10	the	the	DET
ajst-8275	30	11	original	original	ADJ
ajst-8275	30	12	image	image	NOUN
ajst-8275	30	13	data	datum	NOUN
ajst-8275	30	14	to	to	ADP
ajst-8275	30	15	the	the	DET
ajst-8275	30	16	fpga	fpga	PROPN
ajst-8275	30	17	under	under	ADP
ajst-8275	30	18	the	the	DET
ajst-8275	30	19	synchronization	synchronization	NOUN
ajst-8275	30	20	of	of	ADP
ajst-8275	30	21	pclk	pclk	NOUN
ajst-8275	30	22	.	.	PUNCT
ajst-8275	31	1	finally	finally	ADV
ajst-8275	31	2	,	,	PUNCT
ajst-8275	31	3	each	each	DET
ajst-8275	31	4	frame	frame	NOUN
ajst-8275	31	5	of	of	ADP
ajst-8275	31	6	the	the	DET
ajst-8275	31	7	image	image	NOUN
ajst-8275	31	8	data	datum	NOUN
ajst-8275	31	9	is	be	AUX
ajst-8275	31	10	continuously	continuously	ADV
ajst-8275	31	11	cached	cache	VERB
ajst-8275	31	12	into	into	ADP
ajst-8275	31	13	dram	dram	PROPN
ajst-8275	31	14	.	.	PUNCT
ajst-8275	32	1	the	the	DET
ajst-8275	32	2	described	describe	VERB
ajst-8275	32	3	framework	framework	NOUN
ajst-8275	32	4	allows	allow	VERB
ajst-8275	32	5	for	for	ADP
ajst-8275	32	6	streamlined	streamlined	ADJ
ajst-8275	32	7	and	and	CCONJ
ajst-8275	32	8	efficient	efficient	ADJ
ajst-8275	32	9	image	image	NOUN
ajst-8275	32	10	acquisition	acquisition	NOUN
ajst-8275	32	11	in	in	ADP
ajst-8275	32	12	face	face	NOUN
ajst-8275	32	13	recognition	recognition	NOUN
ajst-8275	32	14	systems	system	NOUN
ajst-8275	32	15	.	.	PUNCT
ajst-8275	33	1	2.2	2.2	NUM
ajst-8275	33	2	.	.	PUNCT
ajst-8275	33	3	2.2	2.2	NUM
ajst-8275	33	4	implementation	implementation	NOUN
ajst-8275	33	5	of	of	ADP
ajst-8275	33	6	face	face	NOUN
ajst-8275	33	7	recognition	recognition	NOUN
ajst-8275	33	8	in	in	ADP
ajst-8275	33	9	deepface	deepface	NOUN
ajst-8275	33	10	model	model	NOUN
ajst-8275	33	11	this	this	DET
ajst-8275	33	12	work	work	NOUN
ajst-8275	33	13	utilized	utilize	VERB
ajst-8275	33	14	a	a	DET
ajst-8275	33	15	zynq	zynq	NOUN
ajst-8275	33	16	7020	7020	NUM
ajst-8275	33	17	fpga	fpga	NOUN
ajst-8275	33	18	to	to	PART
ajst-8275	33	19	build	build	VERB
ajst-8275	33	20	a	a	DET
ajst-8275	33	21	7	7	NUM
ajst-8275	33	22	-	-	PUNCT
ajst-8275	33	23	layer	layer	NOUN
ajst-8275	33	24	dnn	dnn	NOUN
ajst-8275	33	25	for	for	ADP
ajst-8275	33	26	face	face	NOUN
ajst-8275	33	27	recognition	recognition	NOUN
ajst-8275	33	28	using	use	VERB
ajst-8275	33	29	the	the	DET
ajst-8275	33	30	deepface	deepface	NOUN
ajst-8275	33	31	model	model	NOUN
ajst-8275	33	32	.	.	PUNCT
ajst-8275	34	1	recent	recent	ADJ
ajst-8275	34	2	research	research	NOUN
ajst-8275	34	3	has	have	AUX
ajst-8275	34	4	shown	show	VERB
ajst-8275	34	5	that	that	SCONJ
ajst-8275	34	6	the	the	DET
ajst-8275	34	7	deepface	deepface	NOUN
ajst-8275	34	8	model	model	NOUN
ajst-8275	34	9	has	have	AUX
ajst-8275	34	10	achieved	achieve	VERB
ajst-8275	34	11	human	human	ADJ
ajst-8275	34	12	-	-	PUNCT
ajst-8275	34	13	like	like	ADJ
ajst-8275	34	14	precision	precision	NOUN
ajst-8275	34	15	in	in	ADP
ajst-8275	34	16	face	face	NOUN
ajst-8275	34	17	recognition	recognition	NOUN
ajst-8275	34	18	benchmarks	benchmark	NOUN
ajst-8275	34	19	.	.	PUNCT
ajst-8275	35	1	the	the	DET
ajst-8275	35	2	16	16	NUM
ajst-8275	35	3	section	section	NOUN
ajst-8275	35	4	presents	present	VERB
ajst-8275	35	5	an	an	DET
ajst-8275	35	6	efficient	efficient	ADJ
ajst-8275	35	7	method	method	NOUN
ajst-8275	35	8	to	to	PART
ajst-8275	35	9	deploy	deploy	VERB
ajst-8275	35	10	the	the	DET
ajst-8275	35	11	7	7	NUM
ajst-8275	35	12	-	-	PUNCT
ajst-8275	35	13	layer	layer	NOUN
ajst-8275	35	14	dnn	dnn	NOUN
ajst-8275	35	15	on	on	ADP
ajst-8275	35	16	the	the	DET
ajst-8275	35	17	fpga	fpga	NOUN
ajst-8275	35	18	and	and	CCONJ
ajst-8275	35	19	implement	implement	VERB
ajst-8275	35	20	the	the	DET
ajst-8275	35	21	deepface	deepface	NOUN
ajst-8275	35	22	model	model	NOUN
ajst-8275	35	23	.	.	PUNCT
ajst-8275	36	1	2.2.1	2.2.1	NUM
ajst-8275	36	2	.	.	PUNCT
ajst-8275	36	3	related	relate	VERB
ajst-8275	36	4	work	work	NOUN
ajst-8275	36	5	while	while	SCONJ
ajst-8275	36	6	traditional	traditional	ADJ
ajst-8275	36	7	machine	machine	NOUN
ajst-8275	36	8	learning	learning	NOUN
ajst-8275	36	9	methods	method	NOUN
ajst-8275	36	10	have	have	VERB
ajst-8275	36	11	difficulty	difficulty	NOUN
ajst-8275	36	12	handling	handle	VERB
ajst-8275	36	13	large	large	ADJ
ajst-8275	36	14	amounts	amount	NOUN
ajst-8275	36	15	of	of	ADP
ajst-8275	36	16	data	datum	NOUN
ajst-8275	36	17	,	,	PUNCT
ajst-8275	36	18	deep	deep	ADJ
ajst-8275	36	19	neural	neural	ADJ
ajst-8275	36	20	networks	network	NOUN
ajst-8275	36	21	(	(	PUNCT
ajst-8275	36	22	dnns	dnn	NOUN
ajst-8275	36	23	)	)	PUNCT
ajst-8275	36	24	have	have	AUX
ajst-8275	36	25	shown	show	VERB
ajst-8275	36	26	to	to	PART
ajst-8275	36	27	scale	scale	VERB
ajst-8275	36	28	well	well	ADV
ajst-8275	36	29	.	.	PUNCT
ajst-8275	37	1	specifically	specifically	ADV
ajst-8275	37	2	,	,	PUNCT
ajst-8275	37	3	labview	labview	PROPN
ajst-8275	37	4	fpga	fpga	PROPN
ajst-8275	37	5	dnn	dnn	PROPN
ajst-8275	37	6	solver	solver	VERB
ajst-8275	37	7	for	for	ADP
ajst-8275	37	8	fully	fully	ADV
ajst-8275	37	9	connected	connected	ADJ
ajst-8275	37	10	multi	multi	ADJ
ajst-8275	37	11	-	-	ADJ
ajst-8275	37	12	layer	layer	ADJ
ajst-8275	37	13	perceptron	perceptron	NOUN
ajst-8275	37	14	(	(	PUNCT
ajst-8275	37	15	mlp	mlp	PROPN
ajst-8275	37	16	)	)	PUNCT
ajst-8275	38	1	[	[	X
ajst-8275	38	2	8	8	NUM
ajst-8275	38	3	]	]	PUNCT
ajst-8275	38	4	with	with	SCONJ
ajst-8275	38	5	relu	relu	NOUN
ajst-8275	38	6	activation	activation	NOUN
ajst-8275	38	7	was	be	AUX
ajst-8275	38	8	utilized	utilize	VERB
ajst-8275	38	9	in	in	ADP
ajst-8275	38	10	this	this	DET
ajst-8275	38	11	work	work	NOUN
ajst-8275	38	12	to	to	PART
ajst-8275	38	13	leverage	leverage	VERB
ajst-8275	38	14	the	the	DET
ajst-8275	38	15	resources	resource	NOUN
ajst-8275	38	16	of	of	ADP
ajst-8275	38	17	the	the	DET
ajst-8275	38	18	zynq	zynq	PROPN
ajst-8275	38	19	7020	7020	NUM
ajst-8275	38	20	fpga	fpga	PROPN
ajst-8275	38	21	.	.	PUNCT
ajst-8275	39	1	figure	figure	NOUN
ajst-8275	39	2	4	4	NUM
ajst-8275	39	3	.	.	PUNCT
ajst-8275	39	4	labview	labview	PROPN
ajst-8275	39	5	fpga	fpga	PROPN
ajst-8275	39	6	code	code	PROPN
ajst-8275	39	7	function	function	PROPN
ajst-8275	39	8	diagram	diagram	NOUN
ajst-8275	39	9	of	of	ADP
ajst-8275	39	10	deep	deep	ADJ
ajst-8275	39	11	neural	neural	ADJ
ajst-8275	39	12	network	network	NOUN
ajst-8275	39	13	with	with	ADP
ajst-8275	39	14	relu	relu	NOUN
ajst-8275	39	15	2	2	NUM
ajst-8275	39	16	-	-	PUNCT
ajst-8275	39	17	layer	layer	NOUN
ajst-8275	39	18	the	the	DET
ajst-8275	39	19	fpga	fpga	PROPN
ajst-8275	39	20	code	code	NOUN
ajst-8275	39	21	for	for	ADP
ajst-8275	39	22	a	a	DET
ajst-8275	39	23	7	7	NUM
ajst-8275	39	24	-	-	PUNCT
ajst-8275	39	25	layer	layer	NOUN
ajst-8275	39	26	dnn	dnn	NOUN
ajst-8275	39	27	using	use	VERB
ajst-8275	39	28	the	the	DET
ajst-8275	39	29	solver	solver	NOUN
ajst-8275	39	30	is	be	AUX
ajst-8275	39	31	shown	show	VERB
ajst-8275	39	32	in	in	ADP
ajst-8275	39	33	figure	figure	NOUN
ajst-8275	39	34	4	4	NUM
ajst-8275	39	35	.	.	PUNCT
ajst-8275	40	1	a	a	DET
ajst-8275	40	2	layer	layer	NOUN
ajst-8275	40	3	-	-	PUNCT
ajst-8275	40	4	enabled	enable	VERB
ajst-8275	40	5	handshake	handshake	NOUN
ajst-8275	40	6	is	be	AUX
ajst-8275	40	7	implemented	implement	VERB
ajst-8275	40	8	to	to	PART
ajst-8275	40	9	minimize	minimize	VERB
ajst-8275	40	10	delay	delay	NOUN
ajst-8275	40	11	.	.	PUNCT
ajst-8275	41	1	the	the	DET
ajst-8275	41	2	top	top	ADJ
ajst-8275	41	3	layer	layer	NOUN
ajst-8275	41	4	triggers	trigger	VERB
ajst-8275	41	5	the	the	DET
ajst-8275	41	6	layer	layer	NOUN
ajst-8275	41	7	below	below	ADV
ajst-8275	41	8	and	and	CCONJ
ajst-8275	41	9	reads	read	VERB
ajst-8275	41	10	its	its	PRON
ajst-8275	41	11	first	first	ADJ
ajst-8275	41	12	output	output	NOUN
ajst-8275	41	13	immediately	immediately	ADV
ajst-8275	41	14	after	after	ADP
ajst-8275	41	15	writing	write	VERB
ajst-8275	41	16	.	.	PUNCT
ajst-8275	42	1	on	on	ADP
ajst-8275	42	2	the	the	DET
ajst-8275	42	3	zynq7020	zynq7020	PROPN
ajst-8275	42	4	sbrio-9607	sbrio-9607	VERB
ajst-8275	42	5	,	,	PUNCT
ajst-8275	42	6	up	up	ADP
ajst-8275	42	7	to	to	ADP
ajst-8275	42	8	a	a	DET
ajst-8275	42	9	7	7	NUM
ajst-8275	42	10	-	-	PUNCT
ajst-8275	42	11	layer	layer	NOUN
ajst-8275	42	12	deep	deep	ADJ
ajst-8275	42	13	neural	neural	ADJ
ajst-8275	42	14	network	network	NOUN
ajst-8275	42	15	was	be	AUX
ajst-8275	42	16	fitted	fit	VERB
ajst-8275	42	17	to	to	PART
ajst-8275	42	18	execute	execute	VERB
ajst-8275	42	19	the	the	DET
ajst-8275	42	20	deepface	deepface	NOUN
ajst-8275	42	21	model	model	NOUN
ajst-8275	42	22	.	.	PUNCT
ajst-8275	43	1	the	the	DET
ajst-8275	43	2	core	core	NOUN
ajst-8275	43	3	algorithm	algorithm	NOUN
ajst-8275	43	4	(	(	PUNCT
ajst-8275	43	5	pseudo	pseudo	NOUN
ajst-8275	43	6	code	code	NOUN
ajst-8275	43	7	)	)	PUNCT
ajst-8275	43	8	of	of	ADP
ajst-8275	43	9	each	each	DET
ajst-8275	43	10	layer	layer	NOUN
ajst-8275	43	11	in	in	ADP
ajst-8275	43	12	dnns	dnn	NOUN
ajst-8275	43	13	is	be	AUX
ajst-8275	43	14	shown	show	VERB
ajst-8275	43	15	in	in	ADP
ajst-8275	43	16	figure	figure	NOUN
ajst-8275	43	17	5	5	NUM
ajst-8275	43	18	.	.	PUNCT
ajst-8275	43	19	figure	figure	NOUN
ajst-8275	43	20	5	5	NUM
ajst-8275	43	21	.	.	PUNCT
ajst-8275	44	1	diagram	diagram	NOUN
ajst-8275	44	2	of	of	ADP
ajst-8275	44	3	dnn	dnn	PROPN
ajst-8275	44	4	structure[9	structure[9	PROPN
ajst-8275	44	5	]	]	PUNCT
ajst-8275	44	6	suppose	suppose	VERB
ajst-8275	44	7	the𝐿	the𝐿	VERB
ajst-8275	44	8	𝐿	𝐿	PROPN
ajst-8275	44	9	2	2	NUM
ajst-8275	44	10	layer	layer	NOUN
ajst-8275	44	11	neural	neural	ADJ
ajst-8275	44	12	network	network	NOUN
ajst-8275	44	13	,	,	PUNCT
ajst-8275	44	14	let	let	VERB
ajst-8275	44	15	𝑧	𝑧	PRON
ajst-8275	44	16	,	,	PUNCT
ajst-8275	44	17	1	1	NUM
ajst-8275	44	18	𝑙	𝑙	PRON
ajst-8275	44	19	𝐿	𝐿	PROPN
ajst-8275	44	20	denote	denote	VERB
ajst-8275	44	21	the	the	DET
ajst-8275	44	22	variable	variable	NOUN
ajst-8275	44	23	of	of	ADP
ajst-8275	44	24	the	the	DET
ajst-8275	44	25	l	l	NOUN
ajst-8275	44	26	layer	layer	NOUN
ajst-8275	44	27	,	,	PUNCT
ajst-8275	44	28	then	then	ADV
ajst-8275	44	29	the	the	DET
ajst-8275	44	30	relationship	relationship	NOUN
ajst-8275	44	31	between	between	ADP
ajst-8275	44	32	the	the	DET
ajst-8275	44	33	two	two	NUM
ajst-8275	44	34	layers	layer	NOUN
ajst-8275	44	35	is	be	AUX
ajst-8275	44	36	as	as	SCONJ
ajst-8275	44	37	follows	follow	VERB
ajst-8275	44	38	:	:	PUNCT
ajst-8275	44	39	𝑎	𝑎	PROPN
ajst-8275	44	40	𝑊	𝑊	VERB
ajst-8275	44	41	𝑧	𝑧	VERB
ajst-8275	44	42	𝑏	𝑏	NOUN
ajst-8275	44	43	𝑧	𝑧	PROPN
ajst-8275	44	44	𝑓	𝑓	PROPN
ajst-8275	44	45	𝑎	𝑎	NOUN
ajst-8275	44	46	the	the	DET
ajst-8275	44	47	objective	objective	NOUN
ajst-8275	44	48	of	of	ADP
ajst-8275	44	49	this	this	DET
ajst-8275	44	50	fpga	fpga	PROPN
ajst-8275	44	51	dnn	dnn	PROPN
ajst-8275	44	52	solver	solver	PROPN
ajst-8275	44	53	is	be	AUX
ajst-8275	44	54	to	to	PART
ajst-8275	44	55	attain	attain	VERB
ajst-8275	44	56	maximum	maximum	ADJ
ajst-8275	44	57	performance	performance	NOUN
ajst-8275	44	58	of	of	ADP
ajst-8275	44	59	the	the	DET
ajst-8275	44	60	model	model	NOUN
ajst-8275	44	61	resources	resource	NOUN
ajst-8275	44	62	with	with	ADP
ajst-8275	44	63	minimal	minimal	ADJ
ajst-8275	44	64	usage	usage	NOUN
ajst-8275	44	65	of	of	ADP
ajst-8275	44	66	fpga	fpga	PROPN
ajst-8275	44	67	resources	resource	NOUN
ajst-8275	44	68	.	.	PUNCT
ajst-8275	45	1	the	the	DET
ajst-8275	45	2	pipelined	pipelined	ADJ
ajst-8275	45	3	floating	float	VERB
ajst-8275	45	4	-	-	PUNCT
ajst-8275	45	5	point	point	NOUN
ajst-8275	45	6	fpga	fpga	PROPN
ajst-8275	45	7	code	code	NOUN
ajst-8275	45	8	ensures	ensure	VERB
ajst-8275	45	9	that	that	SCONJ
ajst-8275	45	10	each	each	DET
ajst-8275	45	11	mathematical	mathematical	ADJ
ajst-8275	45	12	operation	operation	NOUN
ajst-8275	45	13	(	(	PUNCT
ajst-8275	45	14	multiplication	multiplication	NOUN
ajst-8275	45	15	,	,	PUNCT
ajst-8275	45	16	addition	addition	NOUN
ajst-8275	45	17	,	,	PUNCT
ajst-8275	45	18	relu	relu	NOUN
ajst-8275	45	19	)	)	PUNCT
ajst-8275	45	20	is	be	AUX
ajst-8275	45	21	performed	perform	VERB
ajst-8275	45	22	on	on	ADP
ajst-8275	45	23	each	each	DET
ajst-8275	45	24	fpga	fpga	NOUN
ajst-8275	45	25	clock	clock	NOUN
ajst-8275	45	26	cycle	cycle	NOUN
ajst-8275	45	27	without	without	ADP
ajst-8275	45	28	any	any	DET
ajst-8275	45	29	idle	idle	ADJ
ajst-8275	45	30	time	time	NOUN
ajst-8275	45	31	.	.	PUNCT
ajst-8275	46	1	as	as	SCONJ
ajst-8275	46	2	each	each	DET
ajst-8275	46	3	layer	layer	NOUN
ajst-8275	46	4	is	be	AUX
ajst-8275	46	5	executed	execute	VERB
ajst-8275	46	6	in	in	ADP
ajst-8275	46	7	parallel	parallel	NOUN
ajst-8275	46	8	,	,	PUNCT
ajst-8275	46	9	the	the	DET
ajst-8275	46	10	loop	loop	NOUN
ajst-8275	46	11	rate	rate	NOUN
ajst-8275	46	12	is	be	AUX
ajst-8275	46	13	not	not	PART
ajst-8275	46	14	impacted	impact	VERB
ajst-8275	46	15	by	by	ADP
ajst-8275	46	16	adding	add	VERB
ajst-8275	46	17	more	more	ADJ
ajst-8275	46	18	layers	layer	NOUN
ajst-8275	46	19	.	.	PUNCT
ajst-8275	47	1	an	an	DET
ajst-8275	47	2	mnist	mnist	NOUN
ajst-8275	47	3	example	example	NOUN
ajst-8275	47	4	is	be	AUX
ajst-8275	47	5	included	include	VERB
ajst-8275	47	6	in	in	ADP
ajst-8275	47	7	all	all	DET
ajst-8275	47	8	machine	machine	NOUN
ajst-8275	47	9	learning	learning	NOUN
ajst-8275	47	10	tools	tool	NOUN
ajst-8275	47	11	,	,	PUNCT
ajst-8275	47	12	and	and	CCONJ
ajst-8275	47	13	figure	figure	VERB
ajst-8275	47	14	6	6	NUM
ajst-8275	47	15	depicts	depict	NOUN
ajst-8275	47	16	the	the	DET
ajst-8275	47	17	mnist	mnist	PROPN
ajst-8275	47	18	example	example	PROPN
ajst-8275	47	19	application	application	NOUN
ajst-8275	47	20	running	running	NOUN
ajst-8275	47	21	.	.	PUNCT
ajst-8275	48	1	the	the	DET
ajst-8275	48	2	execution	execution	NOUN
ajst-8275	48	3	time	time	NOUN
ajst-8275	48	4	per	per	ADP
ajst-8275	48	5	image	image	NOUN
ajst-8275	48	6	on	on	ADP
ajst-8275	48	7	the	the	DET
ajst-8275	48	8	zynq	zynq	PROPN
ajst-8275	48	9	7020	7020	NUM
ajst-8275	48	10	fpga	fpga	PROPN
ajst-8275	48	11	is	be	AUX
ajst-8275	48	12	150	150	NUM
ajst-8275	48	13	microseconds	microsecond	NOUN
ajst-8275	48	14	in	in	ADP
ajst-8275	48	15	clock	clock	NOUN
ajst-8275	48	16	ticks	tick	NOUN
ajst-8275	48	17	.	.	PUNCT
ajst-8275	49	1	figure	figure	VERB
ajst-8275	49	2	6	6	NUM
ajst-8275	49	3	.	.	PUNCT
ajst-8275	50	1	minist	minist	NOUN
ajst-8275	50	2	example	example	NOUN
ajst-8275	50	3	on	on	ADP
ajst-8275	50	4	sbrio	sbrio	PROPN
ajst-8275	50	5	zynq	zynq	PROPN
ajst-8275	50	6	7020	7020	NUM
ajst-8275	50	7	fpga	fpga	PROPN
ajst-8275	50	8	17	17	NUM
ajst-8275	50	9	the	the	DET
ajst-8275	50	10	remote	remote	ADJ
ajst-8275	50	11	terminal	terminal	NOUN
ajst-8275	50	12	achieved	achieve	VERB
ajst-8275	50	13	successful	successful	ADJ
ajst-8275	50	14	execution	execution	NOUN
ajst-8275	50	15	of	of	ADP
ajst-8275	50	16	a	a	DET
ajst-8275	50	17	7layer	7layer	NUM
ajst-8275	50	18	dnn	dnn	NOUN
ajst-8275	50	19	with	with	ADP
ajst-8275	50	20	16	16	NUM
ajst-8275	50	21	inputs	input	NOUN
ajst-8275	50	22	,	,	PUNCT
ajst-8275	50	23	100	100	NUM
ajst-8275	50	24	neurons	neuron	NOUN
ajst-8275	50	25	per	per	ADP
ajst-8275	50	26	layer	layer	NOUN
ajst-8275	50	27	,	,	PUNCT
ajst-8275	50	28	and	and	CCONJ
ajst-8275	50	29	16	16	NUM
ajst-8275	50	30	outputs	output	NOUN
ajst-8275	50	31	at	at	ADP
ajst-8275	50	32	25	25	NUM
ajst-8275	50	33	khz	khz	NOUN
ajst-8275	50	34	using	use	VERB
ajst-8275	50	35	their	their	PRON
ajst-8275	50	36	fpga	fpga	NOUN
ajst-8275	50	37	-	-	PUNCT
ajst-8275	50	38	based	base	VERB
ajst-8275	50	39	solver	solver	NOUN
ajst-8275	50	40	.	.	PUNCT
ajst-8275	51	1	the	the	DET
ajst-8275	51	2	execution	execution	NOUN
ajst-8275	51	3	speed	speed	NOUN
ajst-8275	51	4	is	be	AUX
ajst-8275	51	5	not	not	PART
ajst-8275	51	6	affected	affect	VERB
ajst-8275	51	7	by	by	ADP
ajst-8275	51	8	the	the	DET
ajst-8275	51	9	number	number	NOUN
ajst-8275	51	10	of	of	ADP
ajst-8275	51	11	layers	layer	NOUN
ajst-8275	51	12	in	in	ADP
ajst-8275	51	13	the	the	DET
ajst-8275	51	14	architecture	architecture	NOUN
ajst-8275	51	15	,	,	PUNCT
ajst-8275	51	16	but	but	CCONJ
ajst-8275	51	17	the	the	DET
ajst-8275	51	18	number	number	NOUN
ajst-8275	51	19	of	of	ADP
ajst-8275	51	20	layers	layer	NOUN
ajst-8275	51	21	is	be	AUX
ajst-8275	51	22	limited	limit	VERB
ajst-8275	51	23	by	by	ADP
ajst-8275	51	24	the	the	DET
ajst-8275	51	25	dsp	dsp	NOUN
ajst-8275	51	26	cores	core	NOUN
ajst-8275	51	27	available	available	ADJ
ajst-8275	51	28	on	on	ADP
ajst-8275	51	29	the	the	DET
ajst-8275	51	30	target	target	NOUN
ajst-8275	51	31	device	device	NOUN
ajst-8275	51	32	.	.	PUNCT
ajst-8275	52	1	in	in	ADP
ajst-8275	52	2	the	the	DET
ajst-8275	52	3	case	case	NOUN
ajst-8275	52	4	of	of	ADP
ajst-8275	52	5	zynq-7020	zynq-7020	NOUN
ajst-8275	52	6	,	,	PUNCT
ajst-8275	52	7	the	the	DET
ajst-8275	52	8	number	number	NOUN
ajst-8275	52	9	of	of	ADP
ajst-8275	52	10	layers	layer	NOUN
ajst-8275	52	11	that	that	PRON
ajst-8275	52	12	can	can	AUX
ajst-8275	52	13	be	be	AUX
ajst-8275	52	14	implemented	implement	VERB
ajst-8275	52	15	is	be	AUX
ajst-8275	52	16	limited	limit	VERB
ajst-8275	52	17	by	by	ADP
ajst-8275	52	18	the	the	DET
ajst-8275	52	19	amount	amount	NOUN
ajst-8275	52	20	of	of	ADP
ajst-8275	52	21	block	block	NOUN
ajst-8275	52	22	ram	ram	NOUN
ajst-8275	52	23	available	available	ADJ
ajst-8275	52	24	,	,	PUNCT
ajst-8275	52	25	which	which	PRON
ajst-8275	52	26	is	be	AUX
ajst-8275	52	27	approximately	approximately	ADV
ajst-8275	52	28	4.8	4.8	NUM
ajst-8275	52	29	mbits	mbit	NOUN
ajst-8275	52	30	,	,	PUNCT
ajst-8275	52	31	enough	enough	ADJ
ajst-8275	52	32	to	to	PART
ajst-8275	52	33	store	store	VERB
ajst-8275	52	34	about	about	ADV
ajst-8275	52	35	150,000	150,000	NUM
ajst-8275	52	36	weights	weight	NOUN
ajst-8275	52	37	and	and	CCONJ
ajst-8275	52	38	biases	bias	NOUN
ajst-8275	52	39	or	or	CCONJ
ajst-8275	52	40	roughly	roughly	ADV
ajst-8275	52	41	7	7	NUM
ajst-8275	52	42	layers	layer	NOUN
ajst-8275	52	43	with	with	ADP
ajst-8275	52	44	150	150	NUM
ajst-8275	52	45	neurons	neuron	NOUN
ajst-8275	52	46	per	per	ADP
ajst-8275	52	47	layer	layer	NOUN
ajst-8275	52	48	.	.	PUNCT
ajst-8275	53	1	the	the	DET
ajst-8275	53	2	performance	performance	NOUN
ajst-8275	53	3	achieved	achieve	VERB
ajst-8275	53	4	is	be	AUX
ajst-8275	53	5	sufficient	sufficient	ADJ
ajst-8275	53	6	for	for	ADP
ajst-8275	53	7	high	high	ADJ
ajst-8275	53	8	-	-	PUNCT
ajst-8275	53	9	bandwidth	bandwidth	ADJ
ajst-8275	53	10	deepface	deepface	NOUN
ajst-8275	53	11	model	model	NOUN
ajst-8275	53	12	applications	application	NOUN
ajst-8275	53	13	.	.	PUNCT
ajst-8275	54	1	2.2.2	2.2.2	NUM
ajst-8275	54	2	.	.	PUNCT
ajst-8275	54	3	deepface	deepface	NOUN
ajst-8275	54	4	model	model	NOUN
ajst-8275	54	5	the	the	DET
ajst-8275	54	6	deepface	deepface	NOUN
ajst-8275	54	7	model	model	NOUN
ajst-8275	54	8	involves	involve	VERB
ajst-8275	54	9	four	four	NUM
ajst-8275	54	10	processes	process	NOUN
ajst-8275	54	11	:	:	PUNCT
ajst-8275	54	12	detection	detection	NOUN
ajst-8275	54	13	,	,	PUNCT
ajst-8275	54	14	alignment	alignment	NOUN
ajst-8275	54	15	,	,	PUNCT
ajst-8275	54	16	representation	representation	NOUN
ajst-8275	54	17	,	,	PUNCT
ajst-8275	54	18	and	and	CCONJ
ajst-8275	54	19	classification	classification	NOUN
ajst-8275	54	20	.	.	PUNCT
ajst-8275	55	1	for	for	ADP
ajst-8275	55	2	alignment	alignment	NOUN
ajst-8275	55	3	,	,	PUNCT
ajst-8275	55	4	the	the	DET
ajst-8275	55	5	model	model	NOUN
ajst-8275	55	6	uses	use	VERB
ajst-8275	55	7	3d	3d	PROPN
ajst-8275	55	8	alignment	alignment	NOUN
ajst-8275	55	9	,	,	PUNCT
ajst-8275	55	10	which	which	PRON
ajst-8275	55	11	requires	require	VERB
ajst-8275	55	12	significant	significant	ADJ
ajst-8275	55	13	computational	computational	ADJ
ajst-8275	55	14	resources	resource	NOUN
ajst-8275	55	15	.	.	PUNCT
ajst-8275	56	1	to	to	PART
ajst-8275	56	2	overcome	overcome	VERB
ajst-8275	56	3	this	this	PRON
ajst-8275	56	4	,	,	PUNCT
ajst-8275	56	5	lbp	lbp	PROPN
ajst-8275	56	6	histogram	histogram	PROPN
ajst-8275	56	7	was	be	AUX
ajst-8275	56	8	used	use	VERB
ajst-8275	56	9	for	for	ADP
ajst-8275	56	10	alignment	alignment	NOUN
ajst-8275	56	11	due	due	ADP
ajst-8275	56	12	to	to	ADP
ajst-8275	56	13	the	the	DET
ajst-8275	56	14	limited	limited	ADJ
ajst-8275	56	15	computing	computing	NOUN
ajst-8275	56	16	abilities	ability	NOUN
ajst-8275	56	17	of	of	ADP
ajst-8275	56	18	the	the	DET
ajst-8275	56	19	zynq	zynq	PROPN
ajst-8275	56	20	7020	7020	NUM
ajst-8275	56	21	's	's	PART
ajst-8275	56	22	arm	arm	NOUN
ajst-8275	56	23	core	core	NOUN
ajst-8275	56	24	.	.	PUNCT
ajst-8275	57	1	the	the	DET
ajst-8275	57	2	lbp	lbp	PROPN
ajst-8275	57	3	histogram	histogram	PROPN
ajst-8275	57	4	extracts	extract	NOUN
ajst-8275	57	5	texture	texture	NOUN
ajst-8275	57	6	features	feature	NOUN
ajst-8275	57	7	by	by	ADP
ajst-8275	57	8	counting	count	VERB
ajst-8275	57	9	the	the	DET
ajst-8275	57	10	number	number	NOUN
ajst-8275	57	11	of	of	ADP
ajst-8275	57	12	occurrences	occurrence	NOUN
ajst-8275	57	13	of	of	ADP
ajst-8275	57	14	pixels	pixel	NOUN
ajst-8275	57	15	in	in	ADP
ajst-8275	57	16	each	each	DET
ajst-8275	57	17	area	area	NOUN
ajst-8275	57	18	.	.	PUNCT
ajst-8275	58	1	svr	svr	PROPN
ajst-8275	58	2	processing	processing	NOUN
ajst-8275	58	3	is	be	AUX
ajst-8275	58	4	then	then	ADV
ajst-8275	58	5	applied	apply	VERB
ajst-8275	58	6	to	to	PART
ajst-8275	58	7	extract	extract	VERB
ajst-8275	58	8	the	the	DET
ajst-8275	58	9	face	face	NOUN
ajst-8275	58	10	and	and	CCONJ
ajst-8275	58	11	its	its	PRON
ajst-8275	58	12	six	six	NUM
ajst-8275	58	13	basic	basic	ADJ
ajst-8275	58	14	points	point	NOUN
ajst-8275	58	15	.	.	PUNCT
ajst-8275	59	1	the	the	DET
ajst-8275	59	2	image	image	NOUN
ajst-8275	59	3	is	be	AUX
ajst-8275	59	4	cached	cache	VERB
ajst-8275	59	5	in	in	ADP
ajst-8275	59	6	dram	dram	NOUN
ajst-8275	59	7	before	before	ADP
ajst-8275	59	8	processing	processing	NOUN
ajst-8275	59	9	.	.	PUNCT
ajst-8275	60	1	face	face	NOUN
ajst-8275	60	2	detection	detection	NOUN
ajst-8275	60	3	results	result	NOUN
ajst-8275	60	4	are	be	AUX
ajst-8275	60	5	shown	show	VERB
ajst-8275	60	6	in	in	ADP
ajst-8275	60	7	figure	figure	NOUN
ajst-8275	60	8	7	7	NUM
ajst-8275	60	9	using	use	VERB
ajst-8275	60	10	labview	labview	PROPN
ajst-8275	60	11	rt	rt	PROPN
ajst-8275	60	12	code	code	PROPN
ajst-8275	60	13	.	.	PUNCT
ajst-8275	61	1	figure	figure	NOUN
ajst-8275	61	2	7	7	NUM
ajst-8275	61	3	.	.	NOUN
ajst-8275	61	4	face	face	NOUN
ajst-8275	61	5	detection	detection	NOUN
ajst-8275	61	6	in	in	ADP
ajst-8275	61	7	labview	labview	PROPN
ajst-8275	61	8	rt	rt	PROPN
ajst-8275	61	9	code	code	PROPN
ajst-8275	61	10	dnn	dnn	PROPN
ajst-8275	61	11	architecture	architecture	NOUN
ajst-8275	61	12	and	and	CCONJ
ajst-8275	61	13	training	training	NOUN
ajst-8275	61	14	we	we	PRON
ajst-8275	61	15	trained	train	VERB
ajst-8275	61	16	a	a	DET
ajst-8275	61	17	dnn	dnn	NOUN
ajst-8275	61	18	for	for	ADP
ajst-8275	61	19	a	a	DET
ajst-8275	61	20	multi	multi	ADJ
ajst-8275	61	21	-	-	ADJ
ajst-8275	61	22	class	class	ADJ
ajst-8275	61	23	face	face	NOUN
ajst-8275	61	24	recognition	recognition	NOUN
ajst-8275	61	25	task	task	NOUN
ajst-8275	61	26	,	,	PUNCT
ajst-8275	61	27	specifically	specifically	ADV
ajst-8275	61	28	for	for	ADP
ajst-8275	61	29	classifying	classify	VERB
ajst-8275	61	30	the	the	DET
ajst-8275	61	31	identity	identity	NOUN
ajst-8275	61	32	of	of	ADP
ajst-8275	61	33	a	a	DET
ajst-8275	61	34	face	face	NOUN
ajst-8275	61	35	image	image	NOUN
ajst-8275	61	36	.	.	PUNCT
ajst-8275	62	1	the	the	DET
ajst-8275	62	2	architecture	architecture	NOUN
ajst-8275	62	3	of	of	ADP
ajst-8275	62	4	our	our	PRON
ajst-8275	62	5	model	model	NOUN
ajst-8275	62	6	is	be	AUX
ajst-8275	62	7	illustrated	illustrate	VERB
ajst-8275	62	8	in	in	ADP
ajst-8275	62	9	figure	figure	NOUN
ajst-8275	62	10	8	8	NUM
ajst-8275	62	11	.	.	PUNCT
ajst-8275	63	1	detected	detect	VERB
ajst-8275	63	2	 	 	SPACE
ajst-8275	63	3	faces	face	VERB
ajst-8275	63	4	 	 	SPACE
ajst-8275	63	5	in	in	ADP
ajst-8275	63	6	 	 	SPACE
ajst-8275	63	7	rgb	rgb	PROPN
ajst-8275	64	1	@152	@152	PROPN
ajst-8275	64	2	*	*	PROPN
ajst-8275	64	3	152	152	NUM
ajst-8275	64	4	*	*	SYM
ajst-8275	64	5	3	3	NUM
ajst-8275	64	6	c1	c1	NOUN
ajst-8275	64	7	:	:	PUNCT
ajst-8275	64	8	32	32	NUM
ajst-8275	64	9	*	*	SYM
ajst-8275	64	10	11	11	NUM
ajst-8275	64	11	*	*	SYM
ajst-8275	64	12	11	11	NUM
ajst-8275	64	13	*	*	SYM
ajst-8275	64	14	3	3	NUM
ajst-8275	64	15	@142	@142	PROPN
ajst-8275	64	16	*	*	PROPN
ajst-8275	64	17	142	142	NUM
ajst-8275	64	18	m2	m2	NOUN
ajst-8275	64	19	:	:	PUNCT
ajst-8275	64	20	32	32	NUM
ajst-8275	64	21	*	*	SYM
ajst-8275	64	22	3	3	NUM
ajst-8275	64	23	*	*	SYM
ajst-8275	64	24	3	3	NUM
ajst-8275	64	25	*	*	SYM
ajst-8275	64	26	32	32	NUM
ajst-8275	64	27	@71	@71	NOUN
ajst-8275	64	28	*	*	NUM
ajst-8275	64	29	71	71	NUM
ajst-8275	64	30	c3	c3	NOUN
ajst-8275	64	31	:	:	PUNCT
ajst-8275	64	32	16	16	NUM
ajst-8275	64	33	*	*	SYM
ajst-8275	64	34	9	9	NUM
ajst-8275	64	35	*	*	SYM
ajst-8275	64	36	9	9	NUM
ajst-8275	64	37	*	*	SYM
ajst-8275	64	38	32	32	NUM
ajst-8275	64	39	@63	@63	NOUN
ajst-8275	64	40	*	*	SYM
ajst-8275	64	41	63	63	NUM
ajst-8275	64	42	l4	l4	PROPN
ajst-8275	64	43	:	:	PUNCT
ajst-8275	64	44	16	16	NUM
ajst-8275	64	45	*	*	SYM
ajst-8275	64	46	9	9	NUM
ajst-8275	64	47	*	*	SYM
ajst-8275	64	48	9	9	NUM
ajst-8275	64	49	*	*	SYM
ajst-8275	64	50	16	16	NUM
ajst-8275	64	51	@55	@55	NOUN
ajst-8275	64	52	*	*	NOUN
ajst-8275	64	53	55	55	NUM
ajst-8275	64	54	l5	l5	NOUN
ajst-8275	64	55	/	/	SYM
ajst-8275	64	56	l6	l6	NOUN
ajst-8275	64	57	:	:	PUNCT
ajst-8275	64	58	16	16	NUM
ajst-8275	64	59	*	*	SYM
ajst-8275	64	60	5	5	NUM
ajst-8275	64	61	*	*	SYM
ajst-8275	64	62	5	5	NUM
ajst-8275	64	63	*	*	SYM
ajst-8275	64	64	16	16	NUM
ajst-8275	64	65	@21	@21	NOUN
ajst-8275	64	66	*	*	PROPN
ajst-8275	64	67	21	21	NUM
ajst-8275	64	68	f7	f7	PROPN
ajst-8275	64	69	:	:	PUNCT
ajst-8275	64	70	32	32	NUM
ajst-8275	64	71	*	*	SYM
ajst-8275	64	72	32	32	NUM
ajst-8275	64	73	*	*	NUM
ajst-8275	64	74	8bit	8bit	NUM
ajst-8275	64	75	figure	figure	NOUN
ajst-8275	64	76	8	8	NUM
ajst-8275	64	77	.	.	NOUN
ajst-8275	64	78	outline	outline	NOUN
ajst-8275	64	79	of	of	ADP
ajst-8275	64	80	the	the	DET
ajst-8275	64	81	deepface	deepface	NOUN
ajst-8275	64	82	model	model	NOUN
ajst-8275	64	83	architecture	architecture	NOUN
ajst-8275	64	84	the	the	DET
ajst-8275	64	85	fpga	fpga	NOUN
ajst-8275	64	86	-	-	PUNCT
ajst-8275	64	87	based	base	VERB
ajst-8275	64	88	7	7	NUM
ajst-8275	64	89	-	-	PUNCT
ajst-8275	64	90	layer	layer	NOUN
ajst-8275	64	91	dnn	dnn	PROPN
ajst-8275	64	92	architecture	architecture	NOUN
ajst-8275	64	93	efficiently	efficiently	ADV
ajst-8275	64	94	runs	run	VERB
ajst-8275	64	95	the	the	DET
ajst-8275	64	96	deepface	deepface	NOUN
ajst-8275	64	97	model	model	NOUN
ajst-8275	64	98	using	use	VERB
ajst-8275	64	99	shared	share	VERB
ajst-8275	64	100	and	and	CCONJ
ajst-8275	64	101	non	non	ADJ
ajst-8275	64	102	-	-	ADJ
ajst-8275	64	103	shared	shared	ADJ
ajst-8275	64	104	convolutional	convolutional	ADJ
ajst-8275	64	105	layers	layer	NOUN
ajst-8275	64	106	and	and	CCONJ
ajst-8275	64	107	fully	fully	ADV
ajst-8275	64	108	connected	connected	ADJ
ajst-8275	64	109	layers	layer	NOUN
ajst-8275	64	110	to	to	PART
ajst-8275	64	111	extract	extract	VERB
ajst-8275	64	112	features	feature	NOUN
ajst-8275	64	113	and	and	CCONJ
ajst-8275	64	114	classify	classify	VERB
ajst-8275	64	115	face	face	NOUN
ajst-8275	64	116	identity	identity	NOUN
ajst-8275	64	117	.	.	PUNCT
ajst-8275	65	1	the	the	DET
ajst-8275	65	2	convolutional	convolutional	ADJ
ajst-8275	65	3	layers	layer	NOUN
ajst-8275	65	4	involve	involve	VERB
ajst-8275	65	5	multiple	multiple	ADJ
ajst-8275	65	6	layers	layer	NOUN
ajst-8275	65	7	,	,	PUNCT
ajst-8275	65	8	including	include	VERB
ajst-8275	65	9	c1	c1	PROPN
ajst-8275	65	10	,	,	PUNCT
ajst-8275	65	11	m2	m2	PROPN
ajst-8275	65	12	,	,	PUNCT
ajst-8275	65	13	c2	c2	PROPN
ajst-8275	65	14	,	,	PUNCT
ajst-8275	65	15	l4	l4	PROPN
ajst-8275	65	16	,	,	PUNCT
ajst-8275	65	17	l5	l5	PROPN
ajst-8275	65	18	,	,	PUNCT
ajst-8275	65	19	l6	l6	NOUN
ajst-8275	65	20	,	,	PUNCT
ajst-8275	65	21	and	and	CCONJ
ajst-8275	65	22	f7	f7	PROPN
ajst-8275	65	23	as	as	ADP
ajst-8275	65	24	figure	figure	NOUN
ajst-8275	65	25	8	8	NUM
ajst-8275	65	26	,	,	PUNCT
ajst-8275	65	27	each	each	PRON
ajst-8275	65	28	utilizing	utilize	VERB
ajst-8275	65	29	different	different	ADJ
ajst-8275	65	30	convolution	convolution	NOUN
ajst-8275	65	31	kernel	kernel	PROPN
ajst-8275	65	32	sizes	size	NOUN
ajst-8275	65	33	.	.	PUNCT
ajst-8275	66	1	the	the	DET
ajst-8275	66	2	f7	f7	PROPN
ajst-8275	66	3	layer	layer	NOUN
ajst-8275	66	4	is	be	AUX
ajst-8275	66	5	a	a	DET
ajst-8275	66	6	fully	fully	ADV
ajst-8275	66	7	connected	connect	VERB
ajst-8275	66	8	layer	layer	NOUN
ajst-8275	66	9	with	with	ADP
ajst-8275	66	10	1024	1024	NUM
ajst-8275	66	11	bytes	byte	NOUN
ajst-8275	66	12	corresponding	correspond	VERB
ajst-8275	66	13	to	to	ADP
ajst-8275	66	14	the	the	DET
ajst-8275	66	15	extracted	extract	VERB
ajst-8275	66	16	face	face	NOUN
ajst-8275	66	17	features	feature	NOUN
ajst-8275	66	18	.	.	PUNCT
ajst-8275	67	1	the	the	DET
ajst-8275	67	2	fpga	fpga	PROPN
ajst-8275	67	3	's	's	PART
ajst-8275	67	4	7	7	NUM
ajst-8275	67	5	layer	layer	NOUN
ajst-8275	67	6	dnn	dnn	PROPN
ajst-8275	67	7	is	be	AUX
ajst-8275	67	8	efficient	efficient	ADJ
ajst-8275	67	9	and	and	CCONJ
ajst-8275	67	10	can	can	AUX
ajst-8275	67	11	be	be	AUX
ajst-8275	67	12	utilized	utilize	VERB
ajst-8275	67	13	in	in	ADP
ajst-8275	67	14	metaverse	metaverse	NOUN
ajst-8275	67	15	applications	application	NOUN
ajst-8275	67	16	such	such	ADJ
ajst-8275	67	17	as	as	ADP
ajst-8275	67	18	advanced	advanced	ADJ
ajst-8275	67	19	facial	facial	ADJ
ajst-8275	67	20	recognition	recognition	NOUN
ajst-8275	67	21	systems	system	NOUN
ajst-8275	67	22	in	in	ADP
ajst-8275	67	23	virtual	virtual	ADJ
ajst-8275	67	24	reality	reality	NOUN
ajst-8275	67	25	environments	environment	NOUN
ajst-8275	67	26	.	.	PUNCT
ajst-8275	68	1	non	non	ADJ
ajst-8275	68	2	-	-	ADJ
ajst-8275	68	3	shared	shared	ADJ
ajst-8275	68	4	convolutional	convolutional	ADJ
ajst-8275	68	5	layers	layer	NOUN
ajst-8275	68	6	are	be	AUX
ajst-8275	68	7	effective	effective	ADJ
ajst-8275	68	8	in	in	ADP
ajst-8275	68	9	face	face	NOUN
ajst-8275	68	10	recognition	recognition	NOUN
ajst-8275	68	11	tasks	task	NOUN
ajst-8275	68	12	,	,	PUNCT
ajst-8275	68	13	avoiding	avoid	VERB
ajst-8275	68	14	information	information	NOUN
ajst-8275	68	15	loss	loss	NOUN
ajst-8275	68	16	.	.	PUNCT
ajst-8275	69	1	the	the	DET
ajst-8275	69	2	deepface	deepface	NOUN
ajst-8275	69	3	model	model	NOUN
ajst-8275	69	4	uses	use	VERB
ajst-8275	69	5	dropout	dropout	NOUN
ajst-8275	69	6	and	and	CCONJ
ajst-8275	69	7	max	max	PROPN
ajst-8275	69	8	pooling	pooling	NOUN
ajst-8275	69	9	to	to	PART
ajst-8275	69	10	prevent	prevent	VERB
ajst-8275	69	11	over	over	ADP
ajst-8275	69	12	-	-	PUNCT
ajst-8275	69	13	fitting	fit	VERB
ajst-8275	69	14	and	and	CCONJ
ajst-8275	69	15	enhance	enhance	VERB
ajst-8275	69	16	robustness	robustness	NOUN
ajst-8275	69	17	.	.	PUNCT
ajst-8275	70	1	the	the	DET
ajst-8275	70	2	model	model	NOUN
ajst-8275	70	3	achieves	achieve	VERB
ajst-8275	70	4	high	high	ADJ
ajst-8275	70	5	accuracy	accuracy	NOUN
ajst-8275	70	6	in	in	ADP
ajst-8275	70	7	multi	multi	ADJ
ajst-8275	70	8	-	-	ADJ
ajst-8275	70	9	class	class	ADJ
ajst-8275	70	10	face	face	NOUN
ajst-8275	70	11	recognition	recognition	NOUN
ajst-8275	70	12	tasks	task	NOUN
ajst-8275	70	13	and	and	CCONJ
ajst-8275	70	14	provides	provide	VERB
ajst-8275	70	15	an	an	DET
ajst-8275	70	16	efficient	efficient	ADJ
ajst-8275	70	17	solution	solution	NOUN
ajst-8275	70	18	for	for	ADP
ajst-8275	70	19	real	real	ADJ
ajst-8275	70	20	-	-	PUNCT
ajst-8275	70	21	time	time	NOUN
ajst-8275	70	22	face	face	NOUN
ajst-8275	70	23	recognition	recognition	NOUN
ajst-8275	70	24	,	,	PUNCT
ajst-8275	70	25	which	which	PRON
ajst-8275	70	26	is	be	AUX
ajst-8275	70	27	in	in	ADP
ajst-8275	70	28	high	high	ADJ
ajst-8275	70	29	demand	demand	NOUN
ajst-8275	70	30	for	for	ADP
ajst-8275	70	31	applications	application	NOUN
ajst-8275	70	32	like	like	ADP
ajst-8275	70	33	security	security	NOUN
ajst-8275	70	34	,	,	PUNCT
ajst-8275	70	35	surveillance	surveillance	NOUN
ajst-8275	70	36	,	,	PUNCT
ajst-8275	70	37	and	and	CCONJ
ajst-8275	70	38	biometrics	biometric	NOUN
ajst-8275	70	39	.	.	PUNCT
ajst-8275	71	1	the	the	DET
ajst-8275	71	2	deepface	deepface	NOUN
ajst-8275	71	3	model	model	NOUN
ajst-8275	71	4	generates	generate	VERB
ajst-8275	71	5	its	its	PRON
ajst-8275	71	6	final	final	ADJ
ajst-8275	71	7	output	output	NOUN
ajst-8275	71	8	by	by	ADP
ajst-8275	71	9	applying	apply	VERB
ajst-8275	71	10	a	a	DET
ajst-8275	71	11	softmax	softmax	NOUN
ajst-8275	71	12	activation	activation	NOUN
ajst-8275	71	13	function	function	NOUN
ajst-8275	71	14	to	to	ADP
ajst-8275	71	15	the	the	DET
ajst-8275	71	16	output	output	NOUN
ajst-8275	71	17	of	of	ADP
ajst-8275	71	18	the	the	DET
ajst-8275	71	19	last	last	ADJ
ajst-8275	71	20	layer	layer	NOUN
ajst-8275	71	21	.	.	PUNCT
ajst-8275	72	1	this	this	PRON
ajst-8275	72	2	results	result	VERB
ajst-8275	72	3	in	in	ADP
ajst-8275	72	4	a	a	DET
ajst-8275	72	5	probability	probability	NOUN
ajst-8275	72	6	distribution	distribution	NOUN
ajst-8275	72	7	over	over	ADP
ajst-8275	72	8	the	the	DET
ajst-8275	72	9	possible	possible	ADJ
ajst-8275	72	10	classes	class	NOUN
ajst-8275	72	11	in	in	ADP
ajst-8275	72	12	the	the	DET
ajst-8275	72	13	face	face	NOUN
ajst-8275	72	14	recognition	recognition	NOUN
ajst-8275	72	15	task	task	NOUN
ajst-8275	72	16	,	,	PUNCT
ajst-8275	72	17	with	with	ADP
ajst-8275	72	18	each	each	DET
ajst-8275	72	19	element	element	NOUN
ajst-8275	72	20	of	of	ADP
ajst-8275	72	21	the	the	DET
ajst-8275	72	22	output	output	NOUN
ajst-8275	72	23	vector	vector	NOUN
ajst-8275	72	24	representing	represent	VERB
ajst-8275	72	25	the	the	DET
ajst-8275	72	26	probability	probability	NOUN
ajst-8275	72	27	of	of	ADP
ajst-8275	72	28	the	the	DET
ajst-8275	72	29	input	input	NOUN
ajst-8275	72	30	image	image	NOUN
ajst-8275	72	31	belonging	belong	VERB
ajst-8275	72	32	to	to	ADP
ajst-8275	72	33	a	a	DET
ajst-8275	72	34	specific	specific	ADJ
ajst-8275	72	35	class	class	NOUN
ajst-8275	72	36	[	[	X
ajst-8275	72	37	10	10	NUM
ajst-8275	72	38	]	]	PUNCT
ajst-8275	72	39	.	.	PUNCT
ajst-8275	73	1	the	the	DET
ajst-8275	73	2	softmax	softmax	NOUN
ajst-8275	73	3	function	function	NOUN
ajst-8275	73	4	18	18	NUM
ajst-8275	73	5	ensures	ensure	VERB
ajst-8275	73	6	that	that	SCONJ
ajst-8275	73	7	the	the	DET
ajst-8275	73	8	sum	sum	NOUN
ajst-8275	73	9	of	of	ADP
ajst-8275	73	10	all	all	DET
ajst-8275	73	11	probabilities	probability	NOUN
ajst-8275	73	12	is	be	AUX
ajst-8275	73	13	equal	equal	ADJ
ajst-8275	73	14	to	to	ADP
ajst-8275	73	15	1	1	NUM
ajst-8275	73	16	,	,	PUNCT
ajst-8275	73	17	making	make	VERB
ajst-8275	73	18	the	the	DET
ajst-8275	73	19	results	result	NOUN
ajst-8275	73	20	easier	easy	ADJ
ajst-8275	73	21	to	to	PART
ajst-8275	73	22	interpret	interpret	VERB
ajst-8275	73	23	.	.	PUNCT
ajst-8275	74	1	the	the	DET
ajst-8275	74	2	probability	probability	NOUN
ajst-8275	74	3	assigned	assign	VERB
ajst-8275	74	4	to	to	ADP
ajst-8275	74	5	the	the	DET
ajst-8275	74	6	k	k	NOUN
ajst-8275	74	7	-	-	PUNCT
ajst-8275	74	8	th	th	VERB
ajst-8275	74	9	class	class	NOUN
ajst-8275	74	10	can	can	AUX
ajst-8275	74	11	be	be	AUX
ajst-8275	74	12	calculated	calculate	VERB
ajst-8275	74	13	as	as	ADP
ajst-8275	74	14	the	the	DET
ajst-8275	74	15	output	output	NOUN
ajst-8275	74	16	of	of	ADP
ajst-8275	74	17	the	the	DET
ajst-8275	74	18	softmax	softmax	NOUN
ajst-8275	74	19	function	function	NOUN
ajst-8275	74	20	on	on	ADP
ajst-8275	74	21	the	the	DET
ajst-8275	74	22	k	k	NOUN
ajst-8275	74	23	-	-	PUNCT
ajst-8275	74	24	th	th	VERB
ajst-8275	74	25	element	element	NOUN
ajst-8275	74	26	of	of	ADP
ajst-8275	74	27	the	the	DET
ajst-8275	74	28	network	network	NOUN
ajst-8275	74	29	's	's	PART
ajst-8275	74	30	output	output	NOUN
ajst-8275	74	31	vector	vector	NOUN
ajst-8275	74	32	using	use	VERB
ajst-8275	74	33	the	the	DET
ajst-8275	74	34	following	follow	VERB
ajst-8275	74	35	formula	formula	NOUN
ajst-8275	74	36	.	.	PUNCT
ajst-8275	75	1	𝑝	𝑝	X
ajst-8275	75	2	𝑒𝑥𝑝	𝑒𝑥𝑝	INTJ
ajst-8275	75	3	𝑜	𝑜	PROPN
ajst-8275	75	4	/	/	PUNCT
ajst-8275	75	5	𝑒𝑥𝑝	𝑒𝑥𝑝	INTJ
ajst-8275	75	6	𝑜	𝑜	PROPN
ajst-8275	75	7	the	the	DET
ajst-8275	75	8	fpga	fpga	PROPN
ajst-8275	75	9	computes	compute	VERB
ajst-8275	75	10	the	the	DET
ajst-8275	75	11	softmax	softmax	NOUN
ajst-8275	75	12	function	function	NOUN
ajst-8275	75	13	on	on	ADP
ajst-8275	75	14	the	the	DET
ajst-8275	75	15	output	output	NOUN
ajst-8275	75	16	vector	vector	NOUN
ajst-8275	75	17	of	of	ADP
ajst-8275	75	18	the	the	DET
ajst-8275	75	19	last	last	ADJ
ajst-8275	75	20	layer	layer	NOUN
ajst-8275	75	21	of	of	ADP
ajst-8275	75	22	the	the	DET
ajst-8275	75	23	dnn	dnn	PROPN
ajst-8275	75	24	to	to	PART
ajst-8275	75	25	generate	generate	VERB
ajst-8275	75	26	a	a	DET
ajst-8275	75	27	probability	probability	NOUN
ajst-8275	75	28	distribution	distribution	NOUN
ajst-8275	75	29	that	that	PRON
ajst-8275	75	30	assigns	assign	VERB
ajst-8275	75	31	a	a	DET
ajst-8275	75	32	likelihood	likelihood	NOUN
ajst-8275	75	33	to	to	ADP
ajst-8275	75	34	each	each	PRON
ajst-8275	75	35	of	of	ADP
ajst-8275	75	36	the	the	DET
ajst-8275	75	37	1024	1024	NUM
ajst-8275	75	38	bytes	byte	NOUN
ajst-8275	75	39	.	.	PUNCT
ajst-8275	76	1	this	this	DET
ajst-8275	76	2	output	output	NOUN
ajst-8275	76	3	is	be	AUX
ajst-8275	76	4	then	then	ADV
ajst-8275	76	5	sent	send	VERB
ajst-8275	76	6	back	back	ADV
ajst-8275	76	7	to	to	ADP
ajst-8275	76	8	the	the	DET
ajst-8275	76	9	server	server	NOUN
ajst-8275	76	10	computer	computer	NOUN
ajst-8275	76	11	for	for	ADP
ajst-8275	76	12	further	further	ADJ
ajst-8275	76	13	processing	processing	NOUN
ajst-8275	76	14	.	.	PUNCT
ajst-8275	77	1	the	the	DET
ajst-8275	77	2	classification	classification	NOUN
ajst-8275	77	3	data	datum	NOUN
ajst-8275	77	4	can	can	AUX
ajst-8275	77	5	be	be	AUX
ajst-8275	77	6	used	use	VERB
ajst-8275	77	7	to	to	PART
ajst-8275	77	8	identify	identify	VERB
ajst-8275	77	9	the	the	DET
ajst-8275	77	10	specific	specific	ADJ
ajst-8275	77	11	person	person	NOUN
ajst-8275	77	12	in	in	ADP
ajst-8275	77	13	the	the	DET
ajst-8275	77	14	image	image	NOUN
ajst-8275	77	15	by	by	ADP
ajst-8275	77	16	matching	match	VERB
ajst-8275	77	17	the	the	DET
ajst-8275	77	18	probability	probability	NOUN
ajst-8275	77	19	distribution	distribution	NOUN
ajst-8275	77	20	to	to	ADP
ajst-8275	77	21	the	the	DET
ajst-8275	77	22	pre	pre	ADJ
ajst-8275	77	23	-	-	ADJ
ajst-8275	77	24	trained	train	VERB
ajst-8275	77	25	face	face	NOUN
ajst-8275	77	26	database	database	NOUN
ajst-8275	77	27	,	,	PUNCT
ajst-8275	77	28	which	which	PRON
ajst-8275	77	29	involves	involve	VERB
ajst-8275	77	30	comparing	compare	VERB
ajst-8275	77	31	the	the	DET
ajst-8275	77	32	features	feature	NOUN
ajst-8275	77	33	extracted	extract	VERB
ajst-8275	77	34	from	from	ADP
ajst-8275	77	35	the	the	DET
ajst-8275	77	36	input	input	NOUN
ajst-8275	77	37	image	image	NOUN
ajst-8275	77	38	with	with	ADP
ajst-8275	77	39	the	the	DET
ajst-8275	77	40	features	feature	NOUN
ajst-8275	77	41	stored	store	VERB
ajst-8275	77	42	in	in	ADP
ajst-8275	77	43	the	the	DET
ajst-8275	77	44	database	database	NOUN
ajst-8275	77	45	and	and	CCONJ
ajst-8275	77	46	selecting	select	VERB
ajst-8275	77	47	the	the	DET
ajst-8275	77	48	most	most	ADV
ajst-8275	77	49	likely	likely	ADJ
ajst-8275	77	50	match	match	NOUN
ajst-8275	77	51	based	base	VERB
ajst-8275	77	52	on	on	ADP
ajst-8275	77	53	the	the	DET
ajst-8275	77	54	probability	probability	NOUN
ajst-8275	77	55	distribution	distribution	NOUN
ajst-8275	77	56	.	.	PUNCT
ajst-8275	78	1	3	3	X
ajst-8275	78	2	.	.	X
ajst-8275	78	3	implementation	implementation	NOUN
ajst-8275	78	4	of	of	ADP
ajst-8275	78	5	receiving	receive	VERB
ajst-8275	78	6	data	datum	NOUN
ajst-8275	78	7	from	from	ADP
ajst-8275	78	8	nb	nb	NOUN
ajst-8275	78	9	-	-	PUNCT
ajst-8275	78	10	iot	iot	ADJ
ajst-8275	78	11	and	and	CCONJ
ajst-8275	78	12	local	local	ADJ
ajst-8275	78	13	terminal	terminal	NOUN
ajst-8275	78	14	into	into	ADP
ajst-8275	78	15	the	the	DET
ajst-8275	78	16	metaverse	metaverse	NOUN
ajst-8275	78	17	3.1	3.1	NUM
ajst-8275	78	18	.	.	PUNCT
ajst-8275	78	19	nb	nb	PROPN
ajst-8275	78	20	-	-	PUNCT
ajst-8275	78	21	iot	iot	NOUN
ajst-8275	78	22	module	module	NOUN
ajst-8275	78	23	the	the	DET
ajst-8275	78	24	narrow	narrow	ADJ
ajst-8275	78	25	band	band	NOUN
ajst-8275	78	26	internet	internet	NOUN
ajst-8275	78	27	of	of	ADP
ajst-8275	78	28	things	thing	NOUN
ajst-8275	78	29	(	(	PUNCT
ajst-8275	78	30	nb	nb	NOUN
ajst-8275	78	31	-	-	PUNCT
ajst-8275	78	32	iot	iot	NOUN
ajst-8275	78	33	)	)	PUNCT
ajst-8275	78	34	is	be	AUX
ajst-8275	78	35	an	an	DET
ajst-8275	78	36	important	important	ADJ
ajst-8275	78	37	component	component	NOUN
ajst-8275	78	38	of	of	ADP
ajst-8275	78	39	the	the	DET
ajst-8275	78	40	internet	internet	NOUN
ajst-8275	78	41	of	of	ADP
ajst-8275	78	42	everything	everything	PRON
ajst-8275	78	43	(	(	PUNCT
ajst-8275	78	44	ioe	ioe	PROPN
ajst-8275	78	45	)	)	PUNCT
ajst-8275	78	46	in	in	ADP
ajst-8275	78	47	the	the	DET
ajst-8275	78	48	metaverse	metaverse	NOUN
ajst-8275	78	49	,	,	PUNCT
ajst-8275	78	50	as	as	SCONJ
ajst-8275	78	51	it	it	PRON
ajst-8275	78	52	allows	allow	VERB
ajst-8275	78	53	for	for	ADP
ajst-8275	78	54	reliable	reliable	ADJ
ajst-8275	78	55	and	and	CCONJ
ajst-8275	78	56	cost	cost	NOUN
ajst-8275	78	57	-	-	PUNCT
ajst-8275	78	58	effective	effective	ADJ
ajst-8275	78	59	transmission	transmission	NOUN
ajst-8275	78	60	of	of	ADP
ajst-8275	78	61	data	datum	NOUN
ajst-8275	78	62	from	from	ADP
ajst-8275	78	63	iot	iot	ADJ
ajst-8275	78	64	devices	device	NOUN
ajst-8275	78	65	.	.	PUNCT
ajst-8275	79	1	this	this	DET
ajst-8275	79	2	technology	technology	NOUN
ajst-8275	79	3	uses	use	VERB
ajst-8275	79	4	a	a	DET
ajst-8275	79	5	cellular	cellular	ADJ
ajst-8275	79	6	network	network	NOUN
ajst-8275	79	7	and	and	CCONJ
ajst-8275	79	8	requires	require	VERB
ajst-8275	79	9	only	only	ADV
ajst-8275	79	10	a	a	DET
ajst-8275	79	11	small	small	ADJ
ajst-8275	79	12	bandwidth	bandwidth	NOUN
ajst-8275	79	13	of	of	ADP
ajst-8275	79	14	around	around	ADV
ajst-8275	79	15	180	180	NUM
ajst-8275	79	16	khz	khz	NOUN
ajst-8275	79	17	,	,	PUNCT
ajst-8275	79	18	which	which	PRON
ajst-8275	79	19	reduces	reduce	VERB
ajst-8275	79	20	deployment	deployment	NOUN
ajst-8275	79	21	costs	cost	NOUN
ajst-8275	79	22	and	and	CCONJ
ajst-8275	79	23	allows	allow	VERB
ajst-8275	79	24	for	for	ADP
ajst-8275	79	25	smooth	smooth	ADJ
ajst-8275	79	26	upgrades	upgrade	NOUN
ajst-8275	79	27	on	on	ADP
ajst-8275	79	28	existing	exist	VERB
ajst-8275	79	29	networks	network	NOUN
ajst-8275	79	30	.	.	PUNCT
ajst-8275	80	1	the	the	DET
ajst-8275	80	2	zynq	zynq	PROPN
ajst-8275	80	3	7020	7020	NUM
ajst-8275	80	4	fpga	fpga	PROPN
ajst-8275	80	5	is	be	AUX
ajst-8275	80	6	connected	connect	VERB
ajst-8275	80	7	to	to	ADP
ajst-8275	80	8	an	an	DET
ajst-8275	80	9	nb	nb	ADJ
ajst-8275	80	10	-	-	PUNCT
ajst-8275	80	11	iot	iot	NOUN
ajst-8275	80	12	module	module	NOUN
ajst-8275	80	13	via	via	ADP
ajst-8275	80	14	its	its	PRON
ajst-8275	80	15	rs232	rs232	PROPN
ajst-8275	80	16	port	port	NOUN
ajst-8275	80	17	,	,	PUNCT
ajst-8275	80	18	enabling	enable	VERB
ajst-8275	80	19	the	the	DET
ajst-8275	80	20	transmission	transmission	NOUN
ajst-8275	80	21	of	of	ADP
ajst-8275	80	22	classification	classification	NOUN
ajst-8275	80	23	data	datum	NOUN
ajst-8275	80	24	to	to	ADP
ajst-8275	80	25	the	the	DET
ajst-8275	80	26	local	local	ADJ
ajst-8275	80	27	server	server	NOUN
ajst-8275	80	28	for	for	ADP
ajst-8275	80	29	further	further	ADJ
ajst-8275	80	30	processing	processing	NOUN
ajst-8275	80	31	and	and	CCONJ
ajst-8275	80	32	identification	identification	NOUN
ajst-8275	80	33	of	of	ADP
ajst-8275	80	34	the	the	DET
ajst-8275	80	35	specific	specific	ADJ
ajst-8275	80	36	person	person	NOUN
ajst-8275	80	37	.	.	PUNCT
ajst-8275	81	1	this	this	DET
ajst-8275	81	2	implementation	implementation	NOUN
ajst-8275	81	3	demonstrates	demonstrate	VERB
ajst-8275	81	4	the	the	DET
ajst-8275	81	5	effectiveness	effectiveness	NOUN
ajst-8275	81	6	of	of	ADP
ajst-8275	81	7	nb	nb	NOUN
ajst-8275	81	8	-	-	PUNCT
ajst-8275	81	9	iot	iot	NOUN
ajst-8275	81	10	in	in	ADP
ajst-8275	81	11	enhancing	enhance	VERB
ajst-8275	81	12	the	the	DET
ajst-8275	81	13	functionality	functionality	NOUN
ajst-8275	81	14	and	and	CCONJ
ajst-8275	81	15	efficiency	efficiency	NOUN
ajst-8275	81	16	of	of	ADP
ajst-8275	81	17	iot	iot	PROPN
ajst-8275	81	18	systems	system	NOUN
ajst-8275	81	19	in	in	ADP
ajst-8275	81	20	the	the	DET
ajst-8275	81	21	metaverse	metaverse	NOUN
ajst-8275	81	22	as	as	ADP
ajst-8275	81	23	in	in	ADP
ajst-8275	81	24	figure	figure	NOUN
ajst-8275	81	25	9	9	NUM
ajst-8275	81	26	.	.	PUNCT
ajst-8275	81	27	zynq	zynq	PROPN
ajst-8275	81	28	 	 	SPACE
ajst-8275	81	29	fpga	fpga	PROPN
ajst-8275	81	30	platform	platform	NOUN
ajst-8275	81	31	nb‐iot	nb‐iot	ADJ
ajst-8275	81	32	communication	communication	NOUN
ajst-8275	81	33	module	module	NOUN
ajst-8275	81	34	at	at	ADP
ajst-8275	81	35	  	  	SPACE
ajst-8275	81	36	command	command	NOUN
ajst-8275	81	37	rs232rs232	rs232rs232	PROPN
ajst-8275	81	38	onenet	onenet	PROPN
ajst-8275	81	39	coap	coap	PROPN
ajst-8275	81	40	metaverse	metaverse	NOUN
ajst-8275	81	41	figure	figure	NOUN
ajst-8275	81	42	9	9	NUM
ajst-8275	81	43	.	.	PUNCT
ajst-8275	81	44	connection	connection	NOUN
ajst-8275	81	45	of	of	ADP
ajst-8275	81	46	nb	nb	PROPN
ajst-8275	81	47	-	-	PUNCT
ajst-8275	81	48	iot	iot	NOUN
ajst-8275	81	49	module	module	NOUN
ajst-8275	81	50	figure	figure	NOUN
ajst-8275	81	51	10	10	NUM
ajst-8275	81	52	.	.	PUNCT
ajst-8275	82	1	sending	send	VERB
ajst-8275	82	2	at	at	ADP
ajst-8275	82	3	command	command	NOUN
ajst-8275	82	4	of	of	ADP
ajst-8275	82	5	1024	1024	NUM
ajst-8275	82	6	bytes(32	bytes(32	NOUN
ajst-8275	82	7	*	*	NUM
ajst-8275	82	8	32	32	NUM
ajst-8275	82	9	*	*	SYM
ajst-8275	82	10	8	8	NUM
ajst-8275	82	11	bits)classification	bits)classification	NOUN
ajst-8275	82	12	data	datum	NOUN
ajst-8275	82	13	onenet	onenet	NOUN
ajst-8275	82	14	is	be	AUX
ajst-8275	82	15	an	an	DET
ajst-8275	82	16	open	open	ADJ
ajst-8275	82	17	-	-	PUNCT
ajst-8275	82	18	source	source	NOUN
ajst-8275	82	19	iot	iot	NOUN
ajst-8275	82	20	platform	platform	NOUN
ajst-8275	82	21	used	use	VERB
ajst-8275	82	22	in	in	ADP
ajst-8275	82	23	the	the	DET
ajst-8275	82	24	metaverse	metaverse	NOUN
ajst-8275	82	25	as	as	ADP
ajst-8275	82	26	an	an	DET
ajst-8275	82	27	internet	internet	NOUN
ajst-8275	82	28	layer	layer	NOUN
ajst-8275	82	29	to	to	PART
ajst-8275	82	30	facilitate	facilitate	VERB
ajst-8275	82	31	data	datum	NOUN
ajst-8275	82	32	access	access	NOUN
ajst-8275	82	33	and	and	CCONJ
ajst-8275	82	34	communication	communication	NOUN
ajst-8275	82	35	between	between	ADP
ajst-8275	82	36	remote	remote	ADJ
ajst-8275	82	37	devices	device	NOUN
ajst-8275	82	38	and	and	CCONJ
ajst-8275	82	39	local	local	ADJ
ajst-8275	82	40	servers	server	NOUN
ajst-8275	82	41	.	.	PUNCT
ajst-8275	83	1	developed	develop	VERB
ajst-8275	83	2	by	by	ADP
ajst-8275	83	3	china	china	PROPN
ajst-8275	83	4	mobile	mobile	PROPN
ajst-8275	83	5	,	,	PUNCT
ajst-8275	83	6	onenet	onenet	NOUN
ajst-8275	83	7	offers	offer	VERB
ajst-8275	83	8	features	feature	NOUN
ajst-8275	83	9	such	such	ADJ
ajst-8275	83	10	as	as	ADP
ajst-8275	83	11	api	api	NOUN
ajst-8275	83	12	support	support	NOUN
ajst-8275	83	13	,	,	PUNCT
ajst-8275	83	14	data	datum	NOUN
ajst-8275	83	15	push	push	NOUN
ajst-8275	83	16	,	,	PUNCT
ajst-8275	83	17	and	and	CCONJ
ajst-8275	83	18	fota	fota	PROPN
ajst-8275	83	19	upgrades	upgrade	NOUN
ajst-8275	83	20	showing	show	VERB
ajst-8275	83	21	in	in	ADP
ajst-8275	83	22	figure	figure	NOUN
ajst-8275	83	23	10	10	NUM
ajst-8275	83	24	,	,	PUNCT
ajst-8275	83	25	as	as	ADV
ajst-8275	83	26	well	well	ADV
ajst-8275	83	27	as	as	ADP
ajst-8275	83	28	core	core	NOUN
ajst-8275	83	29	functionalities	functionality	NOUN
ajst-8275	83	30	such	such	ADJ
ajst-8275	83	31	as	as	ADP
ajst-8275	83	32	message	message	NOUN
ajst-8275	83	33	routing	routing	NOUN
ajst-8275	83	34	and	and	CCONJ
ajst-8275	83	35	mass	mass	NOUN
ajst-8275	83	36	connection	connection	NOUN
ajst-8275	83	37	management	management	NOUN
ajst-8275	83	38	.	.	PUNCT
ajst-8275	84	1	with	with	ADP
ajst-8275	84	2	onenet	onenet	NOUN
ajst-8275	84	3	,	,	PUNCT
ajst-8275	84	4	we	we	PRON
ajst-8275	84	5	can	can	AUX
ajst-8275	84	6	efficiently	efficiently	ADV
ajst-8275	84	7	transmit	transmit	VERB
ajst-8275	84	8	data	datum	NOUN
ajst-8275	84	9	from	from	ADP
ajst-8275	84	10	our	our	PRON
ajst-8275	84	11	nb	nb	PROPN
ajst-8275	84	12	-	-	PUNCT
ajst-8275	84	13	iot	iot	NOUN
ajst-8275	84	14	module	module	NOUN
ajst-8275	84	15	to	to	ADP
ajst-8275	84	16	the	the	DET
ajst-8275	84	17	local	local	ADJ
ajst-8275	84	18	19	19	NUM
ajst-8275	84	19	server	server	NOUN
ajst-8275	84	20	and	and	CCONJ
ajst-8275	84	21	process	process	NOUN
ajst-8275	84	22	face	face	NOUN
ajst-8275	84	23	recognition	recognition	NOUN
ajst-8275	84	24	data	datum	NOUN
ajst-8275	84	25	seamlessly	seamlessly	ADV
ajst-8275	84	26	.	.	PUNCT
ajst-8275	85	1	3.2	3.2	NUM
ajst-8275	85	2	.	.	PUNCT
ajst-8275	86	1	local	local	ADJ
ajst-8275	86	2	terminal	terminal	NOUN
ajst-8275	86	3	the	the	DET
ajst-8275	86	4	local	local	ADJ
ajst-8275	86	5	terminal	terminal	NOUN
ajst-8275	86	6	is	be	AUX
ajst-8275	86	7	a	a	DET
ajst-8275	86	8	server	server	NOUN
ajst-8275	86	9	that	that	PRON
ajst-8275	86	10	uses	use	VERB
ajst-8275	86	11	a	a	DET
ajst-8275	86	12	labview	labview	NOUN
ajst-8275	86	13	program	program	NOUN
ajst-8275	86	14	to	to	PART
ajst-8275	86	15	receive	receive	VERB
ajst-8275	86	16	the	the	DET
ajst-8275	86	17	classification	classification	NOUN
ajst-8275	86	18	data	datum	NOUN
ajst-8275	86	19	and	and	CCONJ
ajst-8275	86	20	compare	compare	VERB
ajst-8275	86	21	it	it	PRON
ajst-8275	86	22	with	with	ADP
ajst-8275	86	23	the	the	DET
ajst-8275	86	24	primary	primary	ADJ
ajst-8275	86	25	key	key	NOUN
ajst-8275	86	26	in	in	ADP
ajst-8275	86	27	the	the	DET
ajst-8275	86	28	local	local	ADJ
ajst-8275	86	29	mysql	mysql	NOUN
ajst-8275	86	30	database	database	NOUN
ajst-8275	86	31	to	to	PART
ajst-8275	86	32	retrieve	retrieve	VERB
ajst-8275	86	33	target	target	NOUN
ajst-8275	86	34	information	information	NOUN
ajst-8275	86	35	related	relate	VERB
ajst-8275	86	36	to	to	PART
ajst-8275	86	37	face	face	VERB
ajst-8275	86	38	recognition	recognition	NOUN
ajst-8275	86	39	as	as	ADP
ajst-8275	86	40	figure	figure	NOUN
ajst-8275	86	41	11	11	NUM
ajst-8275	86	42	.	.	PUNCT
ajst-8275	87	1	figure	figure	VERB
ajst-8275	87	2	11	11	NUM
ajst-8275	87	3	.	.	PUNCT
ajst-8275	88	1	the	the	DET
ajst-8275	88	2	ui	ui	PROPN
ajst-8275	88	3	of	of	ADP
ajst-8275	88	4	local	local	ADJ
ajst-8275	88	5	server	server	NOUN
ajst-8275	88	6	4	4	NUM
ajst-8275	88	7	.	.	PUNCT
ajst-8275	88	8	experiment	experiment	NOUN
ajst-8275	88	9	4.1	4.1	NUM
ajst-8275	88	10	.	.	PUNCT
ajst-8275	89	1	face	face	NOUN
ajst-8275	89	2	detection	detection	NOUN
ajst-8275	89	3	tests	test	VERB
ajst-8275	89	4	the	the	DET
ajst-8275	89	5	performance	performance	NOUN
ajst-8275	89	6	of	of	ADP
ajst-8275	89	7	a	a	DET
ajst-8275	89	8	face	face	NOUN
ajst-8275	89	9	detection	detection	NOUN
ajst-8275	89	10	model	model	NOUN
ajst-8275	89	11	was	be	AUX
ajst-8275	89	12	evaluated	evaluate	VERB
ajst-8275	89	13	under	under	ADP
ajst-8275	89	14	various	various	ADJ
ajst-8275	89	15	lighting	lighting	NOUN
ajst-8275	89	16	conditions	condition	NOUN
ajst-8275	89	17	through	through	ADP
ajst-8275	89	18	experiments	experiment	NOUN
ajst-8275	89	19	.	.	PUNCT
ajst-8275	90	1	the	the	DET
ajst-8275	90	2	model	model	NOUN
ajst-8275	90	3	showed	show	VERB
ajst-8275	90	4	high	high	ADJ
ajst-8275	90	5	stability	stability	NOUN
ajst-8275	90	6	in	in	ADP
ajst-8275	90	7	detecting	detect	VERB
ajst-8275	90	8	front	front	ADJ
ajst-8275	90	9	-	-	PUNCT
ajst-8275	90	10	facing	face	VERB
ajst-8275	90	11	faces	face	NOUN
ajst-8275	90	12	with	with	ADP
ajst-8275	90	13	accuracy	accuracy	NOUN
ajst-8275	90	14	and	and	CCONJ
ajst-8275	90	15	consistency	consistency	NOUN
ajst-8275	90	16	.	.	PUNCT
ajst-8275	91	1	images	image	NOUN
ajst-8275	91	2	of	of	ADP
ajst-8275	91	3	individuals	individual	NOUN
ajst-8275	91	4	under	under	ADP
ajst-8275	91	5	different	different	ADJ
ajst-8275	91	6	lighting	lighting	NOUN
ajst-8275	91	7	conditions	condition	NOUN
ajst-8275	91	8	,	,	PUNCT
ajst-8275	91	9	natural	natural	ADJ
ajst-8275	91	10	and	and	CCONJ
ajst-8275	91	11	artificial	artificial	ADJ
ajst-8275	91	12	,	,	PUNCT
ajst-8275	91	13	were	be	AUX
ajst-8275	91	14	captured	capture	VERB
ajst-8275	91	15	,	,	PUNCT
ajst-8275	91	16	and	and	CCONJ
ajst-8275	91	17	the	the	DET
ajst-8275	91	18	model	model	NOUN
ajst-8275	91	19	was	be	AUX
ajst-8275	91	20	able	able	ADJ
ajst-8275	91	21	to	to	PART
ajst-8275	91	22	accurately	accurately	ADV
ajst-8275	91	23	detect	detect	VERB
ajst-8275	91	24	the	the	DET
ajst-8275	91	25	faces	face	NOUN
ajst-8275	91	26	in	in	ADP
ajst-8275	91	27	the	the	DET
ajst-8275	91	28	images	image	NOUN
ajst-8275	91	29	with	with	ADP
ajst-8275	91	30	high	high	ADJ
ajst-8275	91	31	precision	precision	NOUN
ajst-8275	91	32	and	and	CCONJ
ajst-8275	91	33	recall	recall	NOUN
ajst-8275	91	34	rates	rate	NOUN
ajst-8275	91	35	.	.	PUNCT
ajst-8275	92	1	these	these	DET
ajst-8275	92	2	results	result	NOUN
ajst-8275	92	3	indicate	indicate	VERB
ajst-8275	92	4	that	that	SCONJ
ajst-8275	92	5	the	the	DET
ajst-8275	92	6	face	face	NOUN
ajst-8275	92	7	detection	detection	NOUN
ajst-8275	92	8	model	model	NOUN
ajst-8275	92	9	can	can	AUX
ajst-8275	92	10	be	be	AUX
ajst-8275	92	11	practically	practically	ADV
ajst-8275	92	12	applied	apply	VERB
ajst-8275	92	13	in	in	ADP
ajst-8275	92	14	real	real	ADJ
ajst-8275	92	15	-	-	PUNCT
ajst-8275	92	16	world	world	NOUN
ajst-8275	92	17	scenarios	scenario	NOUN
ajst-8275	92	18	with	with	ADP
ajst-8275	92	19	varying	vary	VERB
ajst-8275	92	20	lighting	lighting	NOUN
ajst-8275	92	21	conditions	condition	NOUN
ajst-8275	92	22	,	,	PUNCT
ajst-8275	92	23	making	make	VERB
ajst-8275	92	24	it	it	PRON
ajst-8275	92	25	useful	useful	ADJ
ajst-8275	92	26	for	for	ADP
ajst-8275	92	27	various	various	ADJ
ajst-8275	92	28	applications	application	NOUN
ajst-8275	92	29	.	.	PUNCT
ajst-8275	93	1	test	test	NOUN
ajst-8275	93	2	condition	condition	NOUN
ajst-8275	93	3	origin	origin	NOUN
ajst-8275	93	4	face	face	VERB
ajst-8275	93	5	area(pixels	area(pixels	PROPN
ajst-8275	93	6	)	)	PUNCT
ajst-8275	93	7	operation	operation	NOUN
ajst-8275	93	8	time(ms	time(ms	NOUN
ajst-8275	93	9	)	)	PUNCT
ajst-8275	93	10	dark	dark	NOUN
ajst-8275	93	11	307	307	NUM
ajst-8275	93	12	*	*	SYM
ajst-8275	93	13	307	307	NUM
ajst-8275	93	14	147	147	NUM
ajst-8275	93	15	weak	weak	ADJ
ajst-8275	93	16	325	325	NUM
ajst-8275	93	17	*	*	SYM
ajst-8275	93	18	325	325	NUM
ajst-8275	93	19	121	121	NUM
ajst-8275	93	20	bright	bright	ADJ
ajst-8275	93	21	314	314	NUM
ajst-8275	93	22	*	*	SYM
ajst-8275	93	23	314	314	NUM
ajst-8275	93	24	116	116	NUM
ajst-8275	93	25	figure	figure	NOUN
ajst-8275	93	26	12	12	NUM
ajst-8275	93	27	.	.	PUNCT
ajst-8275	94	1	detection	detection	NOUN
ajst-8275	94	2	of	of	ADP
ajst-8275	94	3	the	the	DET
ajst-8275	94	4	face	face	NOUN
ajst-8275	94	5	under	under	ADP
ajst-8275	94	6	different	different	ADJ
ajst-8275	94	7	lighting	lighting	NOUN
ajst-8275	94	8	conditions	condition	NOUN
ajst-8275	94	9	20	20	NUM
ajst-8275	94	10	4.2	4.2	NUM
ajst-8275	94	11	.	.	PUNCT
ajst-8275	95	1	face	face	NOUN
ajst-8275	95	2	recognition	recognition	NOUN
ajst-8275	95	3	tests	test	NOUN
ajst-8275	95	4	we	we	PRON
ajst-8275	95	5	conducted	conduct	VERB
ajst-8275	95	6	tests	test	NOUN
ajst-8275	95	7	on	on	ADP
ajst-8275	95	8	the	the	DET
ajst-8275	95	9	recognition	recognition	NOUN
ajst-8275	95	10	of	of	ADP
ajst-8275	95	11	faces	face	NOUN
ajst-8275	95	12	under	under	ADP
ajst-8275	95	13	different	different	ADJ
ajst-8275	95	14	lighting	lighting	NOUN
ajst-8275	95	15	conditions	condition	NOUN
ajst-8275	95	16	using	use	VERB
ajst-8275	95	17	the	the	DET
ajst-8275	95	18	7	7	NUM
ajst-8275	95	19	-	-	PUNCT
ajst-8275	95	20	layer	layer	NOUN
ajst-8275	95	21	dnn	dnn	PROPN
ajst-8275	95	22	deepface	deepface	PROPN
ajst-8275	95	23	model	model	PROPN
ajst-8275	95	24	.	.	PUNCT
ajst-8275	96	1	the	the	DET
ajst-8275	96	2	results	result	NOUN
ajst-8275	96	3	showed	show	VERB
ajst-8275	96	4	that	that	SCONJ
ajst-8275	96	5	the	the	DET
ajst-8275	96	6	model	model	NOUN
ajst-8275	96	7	was	be	AUX
ajst-8275	96	8	able	able	ADJ
ajst-8275	96	9	to	to	PART
ajst-8275	96	10	achieve	achieve	VERB
ajst-8275	96	11	stable	stable	ADJ
ajst-8275	96	12	recognition	recognition	NOUN
ajst-8275	96	13	performance	performance	NOUN
ajst-8275	96	14	,	,	PUNCT
ajst-8275	96	15	with	with	ADP
ajst-8275	96	16	a	a	DET
ajst-8275	96	17	rms	rm	NOUN
ajst-8275	96	18	of	of	ADP
ajst-8275	96	19	about	about	ADV
ajst-8275	96	20	2	2	NUM
ajst-8275	96	21	%	%	NOUN
ajst-8275	96	22	for	for	ADP
ajst-8275	96	23	the	the	DET
ajst-8275	96	24	classification	classification	NOUN
ajst-8275	96	25	data	datum	NOUN
ajst-8275	96	26	across	across	ADP
ajst-8275	96	27	different	different	ADJ
ajst-8275	96	28	lighting	lighting	NOUN
ajst-8275	96	29	conditions	condition	NOUN
ajst-8275	96	30	as	as	SCONJ
ajst-8275	96	31	shown	show	VERB
ajst-8275	96	32	in	in	ADP
ajst-8275	96	33	figure	figure	NOUN
ajst-8275	96	34	13	13	NUM
ajst-8275	96	35	.	.	PUNCT
ajst-8275	97	1	in	in	ADP
ajst-8275	97	2	the	the	DET
ajst-8275	97	3	figure	figure	NOUN
ajst-8275	97	4	,	,	PUNCT
ajst-8275	97	5	𝑥	𝑥	PROPN
ajst-8275	97	6	represents	represent	VERB
ajst-8275	97	7	the	the	DET
ajst-8275	97	8	measured	measured	ADJ
ajst-8275	97	9	value	value	NOUN
ajst-8275	97	10	,	,	PUNCT
ajst-8275	97	11	𝑥	𝑥	PROPN
ajst-8275	97	12	represents	represent	VERB
ajst-8275	97	13	the	the	DET
ajst-8275	97	14	estimated	estimate	VERB
ajst-8275	97	15	value	value	NOUN
ajst-8275	97	16	,	,	PUNCT
ajst-8275	97	17	𝑥	𝑥	PROPN
ajst-8275	97	18	represents	represent	VERB
ajst-8275	97	19	the	the	DET
ajst-8275	97	20	true	true	ADJ
ajst-8275	97	21	value	value	NOUN
ajst-8275	97	22	,	,	PUNCT
ajst-8275	97	23	and	and	CCONJ
ajst-8275	97	24	rms	rm	NOUN
ajst-8275	97	25	(	(	PUNCT
ajst-8275	97	26	root	root	NOUN
ajst-8275	97	27	mean	mean	ADJ
ajst-8275	97	28	square	square	NOUN
ajst-8275	97	29	)	)	PUNCT
ajst-8275	97	30	is	be	AUX
ajst-8275	97	31	calculated	calculate	VERB
ajst-8275	97	32	using	use	VERB
ajst-8275	97	33	the	the	DET
ajst-8275	97	34	following	follow	VERB
ajst-8275	97	35	formula	formula	NOUN
ajst-8275	97	36	:	:	PUNCT
ajst-8275	97	37	𝜀	𝜀	PROPN
ajst-8275	97	38	1	1	NUM
ajst-8275	97	39	2𝑛	2𝑛	PROPN
ajst-8275	97	40	𝑑	𝑑	PROPN
ajst-8275	97	41	𝑥	𝑥	X
ajst-8275	97	42	,	,	PUNCT
ajst-8275	97	43	𝑥	𝑥	PROPN
ajst-8275	97	44	/	/	SYM
ajst-8275	97	45	𝜀	𝜀	PROPN
ajst-8275	97	46	1	1	NUM
ajst-8275	97	47	4𝑛	4𝑛	NOUN
ajst-8275	97	48	𝑑	𝑑	NOUN
ajst-8275	97	49	𝑥	𝑥	X
ajst-8275	97	50	,	,	PUNCT
ajst-8275	97	51	𝑥	𝑥	PROPN
ajst-8275	97	52	𝑑	𝑑	NOUN
ajst-8275	97	53	𝑥	𝑥	X
ajst-8275	97	54	,	,	PUNCT
ajst-8275	97	55	𝑥	𝑥	PROPN
ajst-8275	97	56	/	/	PUNCT
ajst-8275	97	57	where	where	SCONJ
ajst-8275	97	58	𝑛	𝑛	PROPN
ajst-8275	97	59	is	be	AUX
ajst-8275	97	60	the	the	DET
ajst-8275	97	61	total	total	ADJ
ajst-8275	97	62	number	number	NOUN
ajst-8275	97	63	of	of	ADP
ajst-8275	97	64	samples	sample	NOUN
ajst-8275	97	65	.	.	PUNCT
ajst-8275	98	1	these	these	DET
ajst-8275	98	2	results	result	NOUN
ajst-8275	98	3	demonstrate	demonstrate	VERB
ajst-8275	98	4	the	the	DET
ajst-8275	98	5	robustness	robustness	NOUN
ajst-8275	98	6	of	of	ADP
ajst-8275	98	7	the	the	DET
ajst-8275	98	8	model	model	NOUN
ajst-8275	98	9	to	to	ADP
ajst-8275	98	10	different	different	ADJ
ajst-8275	98	11	lighting	lighting	NOUN
ajst-8275	98	12	conditions	condition	NOUN
ajst-8275	98	13	.	.	PUNCT
ajst-8275	99	1	test	test	NOUN
ajst-8275	99	2	condition	condition	PROPN
ajst-8275	99	3	rms(%	rms(%	PROPN
ajst-8275	99	4	)	)	PUNCT
ajst-8275	99	5	received	receive	VERB
ajst-8275	99	6	data	datum	NOUN
ajst-8275	99	7	length	length	NOUN
ajst-8275	99	8	dark	dark	PROPN
ajst-8275	99	9	2.124	2.124	NUM
ajst-8275	99	10	(	(	PUNCT
ajst-8275	99	11	32	32	NUM
ajst-8275	99	12	*	*	SYM
ajst-8275	99	13	32	32	NUM
ajst-8275	99	14	*	*	SYM
ajst-8275	99	15	8)1024	8)1024	NOUN
ajst-8275	99	16	weak	weak	ADJ
ajst-8275	99	17	1.721	1.721	NUM
ajst-8275	99	18	(	(	PUNCT
ajst-8275	99	19	32	32	NUM
ajst-8275	99	20	*	*	SYM
ajst-8275	99	21	32	32	NUM
ajst-8275	99	22	*	*	SYM
ajst-8275	99	23	8)1024	8)1024	NOUN
ajst-8275	99	24	bright	bright	ADJ
ajst-8275	99	25	0.981	0.981	NUM
ajst-8275	99	26	(	(	PUNCT
ajst-8275	99	27	32	32	NUM
ajst-8275	99	28	*	*	SYM
ajst-8275	99	29	32	32	NUM
ajst-8275	99	30	*	*	SYM
ajst-8275	99	31	8)1024	8)1024	NUM
ajst-8275	99	32	figure	figure	NOUN
ajst-8275	99	33	13	13	NUM
ajst-8275	99	34	.	.	PUNCT
ajst-8275	100	1	classification	classification	NOUN
ajst-8275	100	2	data	datum	NOUN
ajst-8275	100	3	of	of	ADP
ajst-8275	100	4	the	the	DET
ajst-8275	100	5	face	face	NOUN
ajst-8275	100	6	under	under	ADP
ajst-8275	100	7	different	different	ADJ
ajst-8275	100	8	lighting	lighting	NOUN
ajst-8275	100	9	conditions	condition	NOUN
ajst-8275	100	10	the	the	DET
ajst-8275	100	11	system	system	NOUN
ajst-8275	100	12	consists	consist	VERB
ajst-8275	100	13	of	of	ADP
ajst-8275	100	14	two	two	NUM
ajst-8275	100	15	parts	part	NOUN
ajst-8275	100	16	:	:	PUNCT
ajst-8275	100	17	face	face	NOUN
ajst-8275	100	18	detection	detection	NOUN
ajst-8275	100	19	and	and	CCONJ
ajst-8275	100	20	face	face	NOUN
ajst-8275	100	21	recognition	recognition	NOUN
ajst-8275	100	22	,	,	PUNCT
ajst-8275	100	23	which	which	PRON
ajst-8275	100	24	extract	extract	VERB
ajst-8275	100	25	classification	classification	NOUN
ajst-8275	100	26	data	datum	NOUN
ajst-8275	100	27	.	.	PUNCT
ajst-8275	101	1	tests	test	NOUN
ajst-8275	101	2	were	be	AUX
ajst-8275	101	3	conducted	conduct	VERB
ajst-8275	101	4	under	under	ADP
ajst-8275	101	5	three	three	NUM
ajst-8275	101	6	lighting	lighting	NOUN
ajst-8275	101	7	conditions	condition	NOUN
ajst-8275	101	8	:	:	PUNCT
ajst-8275	101	9	dark	dark	ADJ
ajst-8275	101	10	,	,	PUNCT
ajst-8275	101	11	weak	weak	ADJ
ajst-8275	101	12	,	,	PUNCT
ajst-8275	101	13	and	and	CCONJ
ajst-8275	101	14	bright	bright	ADJ
ajst-8275	101	15	light	light	NOUN
ajst-8275	101	16	.	.	PUNCT
ajst-8275	102	1	haar	haar	X
ajst-8275	102	2	-	-	PUNCT
ajst-8275	102	3	like	like	ADJ
ajst-8275	102	4	feature	feature	NOUN
ajst-8275	102	5	-	-	PUNCT
ajst-8275	102	6	based	base	VERB
ajst-8275	102	7	cascade	cascade	NOUN
ajst-8275	102	8	classifier	classifier	NOUN
ajst-8275	102	9	algorithm	algorithm	NOUN
ajst-8275	102	10	was	be	AUX
ajst-8275	102	11	used	use	VERB
ajst-8275	102	12	for	for	ADP
ajst-8275	102	13	face	face	NOUN
ajst-8275	102	14	detection	detection	NOUN
ajst-8275	102	15	and	and	CCONJ
ajst-8275	102	16	preprocessing	preprocessing	NOUN
ajst-8275	102	17	,	,	PUNCT
ajst-8275	102	18	followed	follow	VERB
ajst-8275	102	19	by	by	ADP
ajst-8275	102	20	the	the	DET
ajst-8275	102	21	use	use	NOUN
ajst-8275	102	22	of	of	ADP
ajst-8275	102	23	the	the	DET
ajst-8275	102	24	7	7	NUM
ajst-8275	102	25	-	-	PUNCT
ajst-8275	102	26	layer	layer	NOUN
ajst-8275	102	27	dnn	dnn	PROPN
ajst-8275	102	28	deepface	deepface	NOUN
ajst-8275	102	29	model	model	NOUN
ajst-8275	102	30	for	for	ADP
ajst-8275	102	31	classification	classification	NOUN
ajst-8275	102	32	data	datum	NOUN
ajst-8275	102	33	extraction	extraction	NOUN
ajst-8275	102	34	in	in	ADP
ajst-8275	102	35	face	face	NOUN
ajst-8275	102	36	recognition	recognition	NOUN
ajst-8275	102	37	.	.	PUNCT
ajst-8275	103	1	the	the	DET
ajst-8275	103	2	results	result	NOUN
ajst-8275	103	3	showed	show	VERB
ajst-8275	103	4	that	that	SCONJ
ajst-8275	103	5	the	the	DET
ajst-8275	103	6	model	model	NOUN
ajst-8275	103	7	can	can	AUX
ajst-8275	103	8	stably	stably	ADV
ajst-8275	103	9	detect	detect	VERB
ajst-8275	103	10	front	front	ADJ
ajst-8275	103	11	faces	face	NOUN
ajst-8275	103	12	under	under	ADP
ajst-8275	103	13	varying	vary	VERB
ajst-8275	103	14	lighting	lighting	NOUN
ajst-8275	103	15	conditions	condition	NOUN
ajst-8275	103	16	,	,	PUNCT
ajst-8275	103	17	and	and	CCONJ
ajst-8275	103	18	the	the	DET
ajst-8275	103	19	classification	classification	NOUN
ajst-8275	103	20	data	datum	NOUN
ajst-8275	103	21	had	have	VERB
ajst-8275	103	22	an	an	DET
ajst-8275	103	23	rms	rm	NOUN
ajst-8275	103	24	of	of	ADP
ajst-8275	103	25	approximately	approximately	ADV
ajst-8275	103	26	2	2	NUM
ajst-8275	103	27	%	%	NOUN
ajst-8275	103	28	under	under	ADP
ajst-8275	103	29	different	different	ADJ
ajst-8275	103	30	lighting	lighting	NOUN
ajst-8275	103	31	conditions	condition	NOUN
ajst-8275	103	32	.	.	PUNCT
ajst-8275	104	1	5	5	X
ajst-8275	104	2	.	.	X
ajst-8275	104	3	conclusion	conclusion	NOUN
ajst-8275	104	4	the	the	DET
ajst-8275	104	5	proposed	propose	VERB
ajst-8275	104	6	remote	remote	ADJ
ajst-8275	104	7	face	face	NOUN
ajst-8275	104	8	recognition	recognition	NOUN
ajst-8275	104	9	system	system	NOUN
ajst-8275	104	10	can	can	AUX
ajst-8275	104	11	be	be	AUX
ajst-8275	104	12	expanded	expand	VERB
ajst-8275	104	13	to	to	PART
ajst-8275	104	14	include	include	VERB
ajst-8275	104	15	additional	additional	ADJ
ajst-8275	104	16	features	feature	NOUN
ajst-8275	104	17	such	such	ADJ
ajst-8275	104	18	as	as	ADP
ajst-8275	104	19	emotion	emotion	NOUN
ajst-8275	104	20	recognition	recognition	NOUN
ajst-8275	104	21	and	and	CCONJ
ajst-8275	104	22	gender	gender	NOUN
ajst-8275	104	23	classification	classification	NOUN
ajst-8275	104	24	,	,	PUNCT
ajst-8275	104	25	making	make	VERB
ajst-8275	104	26	it	it	PRON
ajst-8275	104	27	more	more	ADV
ajst-8275	104	28	versatile	versatile	ADJ
ajst-8275	104	29	and	and	CCONJ
ajst-8275	104	30	useful	useful	ADJ
ajst-8275	104	31	for	for	ADP
ajst-8275	104	32	various	various	ADJ
ajst-8275	104	33	applications	application	NOUN
ajst-8275	104	34	.	.	PUNCT
ajst-8275	105	1	as	as	SCONJ
ajst-8275	105	2	iot	iot	NOUN
ajst-8275	105	3	and	and	CCONJ
ajst-8275	105	4	edge	edge	NOUN
ajst-8275	105	5	computing	computing	NOUN
ajst-8275	105	6	technologies	technology	NOUN
ajst-8275	105	7	become	become	VERB
ajst-8275	105	8	more	more	ADV
ajst-8275	105	9	prevalent	prevalent	ADJ
ajst-8275	105	10	,	,	PUNCT
ajst-8275	105	11	the	the	DET
ajst-8275	105	12	integration	integration	NOUN
ajst-8275	105	13	of	of	ADP
ajst-8275	105	14	these	these	DET
ajst-8275	105	15	technologies	technology	NOUN
ajst-8275	105	16	into	into	ADP
ajst-8275	105	17	face	face	NOUN
ajst-8275	105	18	recognition	recognition	NOUN
ajst-8275	105	19	systems	system	NOUN
ajst-8275	105	20	will	will	AUX
ajst-8275	105	21	increase	increase	VERB
ajst-8275	105	22	.	.	PUNCT
ajst-8275	106	1	the	the	DET
ajst-8275	106	2	implementation	implementation	NOUN
ajst-8275	106	3	of	of	ADP
ajst-8275	106	4	the	the	DET
ajst-8275	106	5	deepface	deepface	NOUN
ajst-8275	106	6	model	model	NOUN
ajst-8275	106	7	on	on	ADP
ajst-8275	106	8	an	an	DET
ajst-8275	106	9	fpga	fpga	PROPN
ajst-8275	106	10	platform	platform	NOUN
ajst-8275	106	11	has	have	VERB
ajst-8275	106	12	several	several	ADJ
ajst-8275	106	13	advantages	advantage	NOUN
ajst-8275	106	14	,	,	PUNCT
ajst-8275	106	15	including	include	VERB
ajst-8275	106	16	low	low	ADJ
ajst-8275	106	17	power	power	NOUN
ajst-8275	106	18	consumption	consumption	NOUN
ajst-8275	106	19	,	,	PUNCT
ajst-8275	106	20	real	real	ADJ
ajst-8275	106	21	-	-	PUNCT
ajst-8275	106	22	time	time	NOUN
ajst-8275	106	23	processing	processing	NOUN
ajst-8275	106	24	,	,	PUNCT
ajst-8275	106	25	and	and	CCONJ
ajst-8275	106	26	high	high	ADJ
ajst-8275	106	27	accuracy	accuracy	NOUN
ajst-8275	106	28	,	,	PUNCT
ajst-8275	106	29	making	make	VERB
ajst-8275	106	30	it	it	PRON
ajst-8275	106	31	ideal	ideal	ADJ
ajst-8275	106	32	for	for	ADP
ajst-8275	106	33	resource	resource	NOUN
ajst-8275	106	34	-	-	PUNCT
ajst-8275	106	35	constrained	constrain	VERB
ajst-8275	106	36	environments	environment	NOUN
ajst-8275	106	37	.	.	PUNCT
ajst-8275	107	1	with	with	ADP
ajst-8275	107	2	further	further	ADJ
ajst-8275	107	3	optimization	optimization	NOUN
ajst-8275	107	4	and	and	CCONJ
ajst-8275	107	5	integration	integration	NOUN
ajst-8275	107	6	of	of	ADP
ajst-8275	107	7	advanced	advanced	ADJ
ajst-8275	107	8	features	feature	NOUN
ajst-8275	107	9	,	,	PUNCT
ajst-8275	107	10	the	the	DET
ajst-8275	107	11	proposed	propose	VERB
ajst-8275	107	12	system	system	NOUN
ajst-8275	107	13	can	can	AUX
ajst-8275	107	14	be	be	AUX
ajst-8275	107	15	used	use	VERB
ajst-8275	107	16	in	in	ADP
ajst-8275	107	17	fields	field	NOUN
ajst-8275	107	18	such	such	ADJ
ajst-8275	107	19	as	as	ADP
ajst-8275	107	20	security	security	NOUN
ajst-8275	107	21	,	,	PUNCT
ajst-8275	107	22	marketing	marketing	NOUN
ajst-8275	107	23	,	,	PUNCT
ajst-8275	107	24	and	and	CCONJ
ajst-8275	107	25	customer	customer	NOUN
ajst-8275	107	26	service	service	NOUN
ajst-8275	107	27	,	,	PUNCT
ajst-8275	107	28	providing	provide	VERB
ajst-8275	107	29	users	user	NOUN
ajst-8275	107	30	with	with	ADP
ajst-8275	107	31	more	more	ADV
ajst-8275	107	32	intelligent	intelligent	ADJ
ajst-8275	107	33	and	and	CCONJ
ajst-8275	107	34	personalized	personalized	ADJ
ajst-8275	107	35	services	service	NOUN
ajst-8275	107	36	.	.	PUNCT
ajst-8275	108	1	overall	overall	ADV
ajst-8275	108	2	,	,	PUNCT
ajst-8275	108	3	this	this	DET
ajst-8275	108	4	system	system	NOUN
ajst-8275	108	5	is	be	AUX
ajst-8275	108	6	a	a	DET
ajst-8275	108	7	step	step	NOUN
ajst-8275	108	8	towards	towards	ADP
ajst-8275	108	9	the	the	DET
ajst-8275	108	10	development	development	NOUN
ajst-8275	108	11	of	of	ADP
ajst-8275	108	12	efficient	efficient	ADJ
ajst-8275	108	13	and	and	CCONJ
ajst-8275	108	14	intelligent	intelligent	ADJ
ajst-8275	108	15	face	face	NOUN
ajst-8275	108	16	recognition	recognition	NOUN
ajst-8275	108	17	systems	system	NOUN
ajst-8275	108	18	that	that	PRON
ajst-8275	108	19	can	can	AUX
ajst-8275	108	20	be	be	AUX
ajst-8275	108	21	utilized	utilize	VERB
ajst-8275	108	22	in	in	ADP
ajst-8275	108	23	a	a	DET
ajst-8275	108	24	variety	variety	NOUN
ajst-8275	108	25	of	of	ADP
ajst-8275	108	26	applications	application	NOUN
ajst-8275	108	27	.	.	PUNCT
ajst-8275	109	1	references	reference	NOUN
ajst-8275	109	2	[	[	X
ajst-8275	109	3	1	1	NUM
ajst-8275	109	4	]	]	X
ajst-8275	109	5	pino	pino	NOUN
ajst-8275	109	6	,	,	PUNCT
ajst-8275	109	7	r.	r.	PROPN
ajst-8275	109	8	,	,	PUNCT
ajst-8275	109	9	ortiz	ortiz	PROPN
ajst-8275	109	10	,	,	PUNCT
ajst-8275	109	11	d.	d.	PROPN
ajst-8275	109	12	,	,	PUNCT
ajst-8275	109	13	perez	perez	PROPN
ajst-8275	109	14	,	,	PUNCT
ajst-8275	109	15	j.	j.	PROPN
ajst-8275	109	16	,	,	PUNCT
ajst-8275	109	17	&	&	CCONJ
ajst-8275	109	18	garcia	garcia	PROPN
ajst-8275	109	19	,	,	PUNCT
ajst-8275	109	20	j.	j.	PROPN
ajst-8275	109	21	development	development	PROPN
ajst-8275	109	22	of	of	ADP
ajst-8275	109	23	a	a	DET
ajst-8275	109	24	real	real	ADJ
ajst-8275	109	25	-	-	PUNCT
ajst-8275	109	26	time	time	NOUN
ajst-8275	109	27	dual	dual	ADJ
ajst-8275	109	28	-	-	PUNCT
ajst-8275	109	29	axis	axis	NOUN
ajst-8275	109	30	sun	sun	NOUN
ajst-8275	109	31	tracker	tracker	PROPN
ajst-8275	109	32	for	for	ADP
ajst-8275	109	33	concentrator	concentrator	NOUN
ajst-8275	109	34	photovoltaic	photovoltaic	NOUN
ajst-8275	109	35	systems	system	NOUN
ajst-8275	109	36	using	use	VERB
ajst-8275	109	37	an	an	DET
ajst-8275	109	38	ni	ni	PROPN
ajst-8275	109	39	sbrio	sbrio	NOUN
ajst-8275	109	40	platform	platform	NOUN
ajst-8275	109	41	.	.	PUNCT
ajst-8275	110	1	solar	solar	ADJ
ajst-8275	110	2	energy	energy	NOUN
ajst-8275	110	3	,	,	PUNCT
ajst-8275	110	4	169(1	169(1	NUM
ajst-8275	110	5	)	)	PUNCT
ajst-8275	110	6	,	,	PUNCT
ajst-8275	110	7	110	110	NUM
ajst-8275	110	8	(	(	PUNCT
ajst-8275	110	9	2018	2018	NUM
ajst-8275	110	10	)	)	PUNCT
ajst-8275	110	11	.	.	PUNCT
ajst-8275	111	1	doi	doi	NOUN
ajst-8275	111	2	:	:	PUNCT
ajst-8275	111	3	https://doi.org/10.1016/j.solener.2018.04.022	https://doi.org/10.1016/j.solener.2018.04.022	PROPN
ajst-8275	111	4	[	[	X
ajst-8275	111	5	2	2	NUM
ajst-8275	111	6	]	]	X
ajst-8275	111	7	zhang	zhang	PROPN
ajst-8275	111	8	,	,	PUNCT
ajst-8275	111	9	y.	y.	PROPN
ajst-8275	111	10	,	,	PUNCT
ajst-8275	111	11	liu	liu	PROPN
ajst-8275	111	12	,	,	PUNCT
ajst-8275	111	13	j.	j.	PROPN
ajst-8275	111	14	,	,	PUNCT
ajst-8275	111	15	gao	gao	PROPN
ajst-8275	111	16	,	,	PUNCT
ajst-8275	111	17	y.	y.	PROPN
ajst-8275	111	18	,	,	PUNCT
ajst-8275	111	19	&	&	CCONJ
ajst-8275	111	20	zhang	zhang	PROPN
ajst-8275	111	21	,	,	PUNCT
ajst-8275	111	22	h.	h.	PROPN
ajst-8275	111	23	joint	joint	PROPN
ajst-8275	111	24	power	power	NOUN
ajst-8275	111	25	control	control	NOUN
ajst-8275	111	26	and	and	CCONJ
ajst-8275	111	27	resource	resource	NOUN
ajst-8275	111	28	allocation	allocation	NOUN
ajst-8275	111	29	for	for	ADP
ajst-8275	111	30	device	device	NOUN
ajst-8275	111	31	-	-	PUNCT
ajst-8275	111	32	to	to	ADP
ajst-8275	111	33	-	-	PUNCT
ajst-8275	111	34	device	device	NOUN
ajst-8275	111	35	communications	communication	NOUN
ajst-8275	111	36	underlaying	underlay	VERB
ajst-8275	111	37	nb	nb	PROPN
ajst-8275	111	38	-	-	PUNCT
ajst-8275	111	39	iot	iot	NOUN
ajst-8275	111	40	system	system	NOUN
ajst-8275	111	41	.	.	PUNCT
ajst-8275	112	1	ieee	ieee	PROPN
ajst-8275	112	2	internet	internet	NOUN
ajst-8275	112	3	of	of	ADP
ajst-8275	112	4	things	thing	NOUN
ajst-8275	112	5	journal	journal	NOUN
ajst-8275	112	6	,	,	PUNCT
ajst-8275	112	7	6(3	6(3	NUM
ajst-8275	112	8	)	)	PUNCT
ajst-8275	112	9	,	,	PUNCT
ajst-8275	112	10	4242	4242	NUM
ajst-8275	112	11	-	-	SYM
ajst-8275	112	12	4250	4250	NUM
ajst-8275	112	13	(	(	PUNCT
ajst-8275	112	14	2019	2019	NUM
ajst-8275	112	15	)	)	PUNCT
ajst-8275	112	16	.	.	PUNCT
ajst-8275	113	1	doi	doi	NOUN
ajst-8275	113	2	:	:	PUNCT
ajst-8275	113	3	https://doi.org/10.1109/jiot.2019.2914914	https://doi.org/10.1109/jiot.2019.2914914	PROPN
ajst-8275	113	4	21	21	NUM
ajst-8275	113	5	[	[	X
ajst-8275	113	6	3	3	NUM
ajst-8275	113	7	]	]	SYM
ajst-8275	113	8	xu	xu	PROPN
ajst-8275	113	9	,	,	PUNCT
ajst-8275	113	10	l.	l.	PROPN
ajst-8275	113	11	,	,	PUNCT
ajst-8275	113	12	qiao	qiao	PROPN
ajst-8275	113	13	,	,	PUNCT
ajst-8275	113	14	w.	w.	PROPN
ajst-8275	113	15	,	,	PUNCT
ajst-8275	113	16	wu	wu	PROPN
ajst-8275	113	17	,	,	PUNCT
ajst-8275	113	18	x.	x.	PROPN
ajst-8275	113	19	,	,	PUNCT
ajst-8275	113	20	&	&	CCONJ
ajst-8275	113	21	yang	yang	PROPN
ajst-8275	113	22	,	,	PUNCT
ajst-8275	113	23	y.	y.	PROPN
ajst-8275	113	24	fpga	fpga	PROPN
ajst-8275	113	25	-	-	PUNCT
ajst-8275	113	26	based	base	VERB
ajst-8275	113	27	acceleration	acceleration	NOUN
ajst-8275	113	28	for	for	ADP
ajst-8275	113	29	deep	deep	ADJ
ajst-8275	113	30	neural	neural	ADJ
ajst-8275	113	31	networks	network	NOUN
ajst-8275	113	32	:	:	PUNCT
ajst-8275	113	33	a	a	DET
ajst-8275	113	34	survey	survey	NOUN
ajst-8275	113	35	.	.	PUNCT
ajst-8275	114	1	acm	acm	NOUN
ajst-8275	114	2	transactions	transaction	NOUN
ajst-8275	114	3	on	on	ADP
ajst-8275	114	4	reconfigurable	reconfigurable	ADJ
ajst-8275	114	5	technology	technology	NOUN
ajst-8275	114	6	and	and	CCONJ
ajst-8275	114	7	systems	system	NOUN
ajst-8275	114	8	(	(	PUNCT
ajst-8275	114	9	trets	tret	NOUN
ajst-8275	114	10	)	)	PUNCT
ajst-8275	114	11	,	,	PUNCT
ajst-8275	114	12	13(2	13(2	NOUN
ajst-8275	114	13	)	)	PUNCT
ajst-8275	114	14	,	,	PUNCT
ajst-8275	114	15	1	1	NUM
ajst-8275	114	16	-	-	SYM
ajst-8275	114	17	24	24	NUM
ajst-8275	114	18	(	(	PUNCT
ajst-8275	114	19	2020	2020	NUM
ajst-8275	114	20	)	)	PUNCT
ajst-8275	114	21	.	.	PUNCT
ajst-8275	115	1	doi	doi	NOUN
ajst-8275	115	2	:	:	PUNCT
ajst-8275	115	3	https://doi.org/10.1145/3373246	https://doi.org/10.1145/3373246	X
ajst-8275	116	1	[	[	X
ajst-8275	116	2	4	4	NUM
ajst-8275	116	3	]	]	X
ajst-8275	116	4	salem	salem	NOUN
ajst-8275	116	5	,	,	PUNCT
ajst-8275	116	6	m.	m.	NOUN
ajst-8275	116	7	,	,	PUNCT
ajst-8275	116	8	nguyen	nguyen	NOUN
ajst-8275	116	9	,	,	PUNCT
ajst-8275	116	10	t.	t.	NOUN
ajst-8275	116	11	,	,	PUNCT
ajst-8275	116	12	banitalebi	banitalebi	NOUN
ajst-8275	116	13	-	-	PUNCT
ajst-8275	116	14	dehkordi	dehkordi	NOUN
ajst-8275	116	15	,	,	PUNCT
ajst-8275	116	16	m.	m.	NOUN
ajst-8275	116	17	,	,	PUNCT
ajst-8275	116	18	&	&	CCONJ
ajst-8275	116	19	tewfik	tewfik	NOUN
ajst-8275	116	20	,	,	PUNCT
ajst-8275	116	21	a.	a.	NOUN
ajst-8275	116	22	deepface	deepface	NOUN
ajst-8275	116	23	recognition	recognition	NOUN
ajst-8275	116	24	using	use	VERB
ajst-8275	116	25	deep	deep	ADJ
ajst-8275	116	26	learning	learning	NOUN
ajst-8275	116	27	approach	approach	NOUN
ajst-8275	116	28	.	.	PUNCT
ajst-8275	117	1	2018	2018	NUM
ajst-8275	117	2	ieee	ieee	PROPN
ajst-8275	117	3	international	international	ADJ
ajst-8275	117	4	conference	conference	NOUN
ajst-8275	117	5	on	on	ADP
ajst-8275	117	6	electro	electro	ADJ
ajst-8275	117	7	information	information	NOUN
ajst-8275	117	8	technology	technology	NOUN
ajst-8275	117	9	(	(	PUNCT
ajst-8275	117	10	eit	eit	NOUN
ajst-8275	117	11	)	)	PUNCT
ajst-8275	117	12	,	,	PUNCT
ajst-8275	117	13	566	566	NUM
ajst-8275	117	14	-	-	SYM
ajst-8275	117	15	569	569	NUM
ajst-8275	117	16	(	(	PUNCT
ajst-8275	117	17	2018	2018	NUM
ajst-8275	117	18	)	)	PUNCT
ajst-8275	117	19	.	.	PUNCT
ajst-8275	118	1	doi	doi	NOUN
ajst-8275	118	2	:	:	PUNCT
ajst-8275	118	3	https://doi.org/10.1109/eit.2018.8507250	https://doi.org/10.1109/eit.2018.8507250	ADJ
ajst-8275	118	4	[	[	X
ajst-8275	118	5	5	5	NUM
ajst-8275	118	6	]	]	X
ajst-8275	118	7	hsu	hsu	PROPN
ajst-8275	118	8	,	,	PUNCT
ajst-8275	118	9	w.-h	w.-h	NOUN
ajst-8275	118	10	.	.	PUNCT
ajst-8275	118	11	,	,	PUNCT
ajst-8275	118	12	&	&	CCONJ
ajst-8275	118	13	chen	chen	PROPN
ajst-8275	118	14	,	,	PUNCT
ajst-8275	118	15	y.-y	y.-y	VERB
ajst-8275	118	16	.	.	PUNCT
ajst-8275	119	1	a	a	DET
ajst-8275	119	2	cmos	cmos	PROPN
ajst-8275	119	3	image	image	NOUN
ajst-8275	119	4	sensor	sensor	NOUN
ajst-8275	119	5	with	with	ADP
ajst-8275	119	6	720p	720p	NOUN
ajst-8275	119	7	resolution	resolution	NOUN
ajst-8275	119	8	and	and	CCONJ
ajst-8275	119	9	60fps	60fps	NOUN
ajst-8275	119	10	frame	frame	NOUN
ajst-8275	119	11	rate	rate	NOUN
ajst-8275	119	12	.	.	PUNCT
ajst-8275	120	1	ieee	ieee	NOUN
ajst-8275	120	2	transactions	transaction	NOUN
ajst-8275	120	3	on	on	ADP
ajst-8275	120	4	consumer	consumer	NOUN
ajst-8275	120	5	electronics	electronic	NOUN
ajst-8275	120	6	,	,	PUNCT
ajst-8275	120	7	60(3	60(3	NOUN
ajst-8275	120	8	)	)	PUNCT
ajst-8275	120	9	,	,	PUNCT
ajst-8275	120	10	453	453	NUM
ajst-8275	120	11	-	-	SYM
ajst-8275	120	12	459	459	NUM
ajst-8275	120	13	(	(	PUNCT
ajst-8275	120	14	2014	2014	NUM
ajst-8275	120	15	)	)	PUNCT
ajst-8275	120	16	.	.	PUNCT
ajst-8275	121	1	doi	doi	NOUN
ajst-8275	121	2	:	:	PUNCT
ajst-8275	121	3	https://doi.org/10.1109/tce.2014.6926385	https://doi.org/10.1109/tce.2014.6926385	INTJ
ajst-8275	121	4	.	.	PUNCT
ajst-8275	122	1	[	[	X
ajst-8275	122	2	6	6	NUM
ajst-8275	122	3	]	]	X
ajst-8275	122	4	wang	wang	PROPN
ajst-8275	122	5	,	,	PUNCT
ajst-8275	122	6	y.	y.	PROPN
ajst-8275	122	7	,	,	PUNCT
ajst-8275	122	8	zhou	zhou	PROPN
ajst-8275	122	9	,	,	PUNCT
ajst-8275	122	10	x.	x.	PROPN
ajst-8275	122	11	,	,	PUNCT
ajst-8275	122	12	wang	wang	PROPN
ajst-8275	122	13	,	,	PUNCT
ajst-8275	122	14	c.	c.	PROPN
ajst-8275	122	15	,	,	PUNCT
ajst-8275	122	16	lu	lu	PROPN
ajst-8275	122	17	,	,	PUNCT
ajst-8275	122	18	w.	w.	PROPN
ajst-8275	122	19	,	,	PUNCT
ajst-8275	122	20	&	&	CCONJ
ajst-8275	122	21	liu	liu	PROPN
ajst-8275	122	22	,	,	PUNCT
ajst-8275	122	23	l.	l.	PROPN
ajst-8275	122	24	an	an	DET
ajst-8275	122	25	nb	nb	PROPN
ajst-8275	122	26	-	-	PUNCT
ajst-8275	122	27	iot	iot	PROPN
ajst-8275	122	28	gateway	gateway	NOUN
ajst-8275	122	29	design	design	NOUN
ajst-8275	122	30	based	base	VERB
ajst-8275	122	31	on	on	ADP
ajst-8275	122	32	fpga	fpga	PROPN
ajst-8275	122	33	.	.	PUNCT
ajst-8275	123	1	ieee	ieee	NOUN
ajst-8275	123	2	access	access	NOUN
ajst-8275	123	3	,	,	PUNCT
ajst-8275	123	4	7	7	NUM
ajst-8275	123	5	,	,	PUNCT
ajst-8275	123	6	3103631043	3103631043	NUM
ajst-8275	123	7	(	(	PUNCT
ajst-8275	123	8	2019	2019	NUM
ajst-8275	123	9	)	)	PUNCT
ajst-8275	123	10	.	.	PUNCT
ajst-8275	124	1	doi	doi	NOUN
ajst-8275	124	2	:	:	PUNCT
ajst-8275	125	1	https://doi.org/10.1109/access.2019.2908374	https://doi.org/10.1109/access.2019.2908374	NOUN
ajst-8275	125	2	[	[	X
ajst-8275	125	3	7	7	NUM
ajst-8275	125	4	]	]	X
ajst-8275	125	5	alhassan	alhassan	PROPN
ajst-8275	125	6	,	,	PUNCT
ajst-8275	125	7	a.	a.	PROPN
ajst-8275	125	8	,	,	PUNCT
ajst-8275	125	9	zhang	zhang	PROPN
ajst-8275	125	10	,	,	PUNCT
ajst-8275	125	11	l.	l.	PROPN
ajst-8275	125	12	,	,	PUNCT
ajst-8275	125	13	&	&	CCONJ
ajst-8275	125	14	sangaiah	sangaiah	PROPN
ajst-8275	125	15	,	,	PUNCT
ajst-8275	125	16	a.	a.	PROPN
ajst-8275	125	17	k.	k.	PROPN
ajst-8275	125	18	fpga	fpga	PROPN
ajst-8275	125	19	-	-	PUNCT
ajst-8275	125	20	based	base	VERB
ajst-8275	125	21	image	image	NOUN
ajst-8275	125	22	processing	processing	NOUN
ajst-8275	125	23	for	for	ADP
ajst-8275	125	24	real	real	ADJ
ajst-8275	125	25	-	-	PUNCT
ajst-8275	125	26	time	time	NOUN
ajst-8275	125	27	applications	application	NOUN
ajst-8275	125	28	:	:	PUNCT
ajst-8275	125	29	a	a	DET
ajst-8275	125	30	review	review	NOUN
ajst-8275	125	31	.	.	PUNCT
ajst-8275	126	1	ieee	ieee	NOUN
ajst-8275	126	2	access	access	NOUN
ajst-8275	126	3	,	,	PUNCT
ajst-8275	126	4	7	7	NUM
ajst-8275	126	5	,	,	PUNCT
ajst-8275	126	6	49854	49854	NUM
ajst-8275	126	7	-	-	SYM
ajst-8275	126	8	49880	49880	NUM
ajst-8275	126	9	(	(	PUNCT
ajst-8275	126	10	2019	2019	NUM
ajst-8275	126	11	)	)	PUNCT
ajst-8275	126	12	.	.	PUNCT
ajst-8275	127	1	doi	doi	NOUN
ajst-8275	127	2	:	:	PUNCT
ajst-8275	127	3	https://doi.org/10.1109/access.2019.2918226	https://doi.org/10.1109/access.2019.2918226	PROPN
ajst-8275	127	4	.	.	PUNCT
ajst-8275	128	1	[	[	X
ajst-8275	128	2	8	8	NUM
ajst-8275	128	3	]	]	X
ajst-8275	128	4	zhang	zhang	PROPN
ajst-8275	128	5	,	,	PUNCT
ajst-8275	128	6	x.	x.	PROPN
ajst-8275	128	7	,	,	PUNCT
ajst-8275	128	8	xie	xie	PROPN
ajst-8275	128	9	,	,	PUNCT
ajst-8275	128	10	l.	l.	PROPN
ajst-8275	128	11	,	,	PUNCT
ajst-8275	128	12	ma	ma	PROPN
ajst-8275	128	13	,	,	PUNCT
ajst-8275	128	14	x.	x.	PROPN
ajst-8275	128	15	,	,	PUNCT
ajst-8275	128	16	liu	liu	PROPN
ajst-8275	128	17	,	,	PUNCT
ajst-8275	128	18	s.	s.	PROPN
ajst-8275	128	19	,	,	PUNCT
ajst-8275	128	20	&	&	CCONJ
ajst-8275	128	21	liang	liang	PROPN
ajst-8275	128	22	,	,	PUNCT
ajst-8275	128	23	x.	x.	PROPN
ajst-8275	128	24	back	back	PROPN
ajst-8275	128	25	propagation	propagation	NOUN
ajst-8275	128	26	neural	neural	ADJ
ajst-8275	128	27	network	network	NOUN
ajst-8275	128	28	with	with	ADP
ajst-8275	128	29	rectified	rectified	ADJ
ajst-8275	128	30	linear	linear	PROPN
ajst-8275	128	31	unit	unit	NOUN
ajst-8275	128	32	activation	activation	NOUN
ajst-8275	128	33	function	function	NOUN
ajst-8275	128	34	and	and	CCONJ
ajst-8275	128	35	adaptive	adaptive	ADJ
ajst-8275	128	36	momentum	momentum	NOUN
ajst-8275	128	37	optimizer	optimizer	NOUN
ajst-8275	128	38	.	.	PUNCT
ajst-8275	129	1	neurocomputing	neurocomputing	NOUN
ajst-8275	129	2	,	,	PUNCT
ajst-8275	129	3	275	275	NUM
ajst-8275	129	4	,	,	PUNCT
ajst-8275	129	5	366	366	NUM
ajst-8275	129	6	-	-	SYM
ajst-8275	129	7	375	375	NUM
ajst-8275	129	8	(	(	PUNCT
ajst-8275	129	9	2018	2018	NUM
ajst-8275	129	10	)	)	PUNCT
ajst-8275	129	11	.	.	PUNCT
ajst-8275	130	1	doi	doi	NOUN
ajst-8275	130	2	:	:	PUNCT
ajst-8275	130	3	https://doi.org/10.1016/j.neucom.2017.07.031	https://doi.org/10.1016/j.neucom.2017.07.031	NOUN
ajst-8275	130	4	[	[	PUNCT
ajst-8275	130	5	9	9	NUM
ajst-8275	130	6	]	]	SYM
ajst-8275	130	7	lecun	lecun	ADJ
ajst-8275	130	8	,	,	PUNCT
ajst-8275	130	9	y.	y.	PROPN
ajst-8275	130	10	,	,	PUNCT
ajst-8275	130	11	bengio	bengio	PROPN
ajst-8275	130	12	,	,	PUNCT
ajst-8275	130	13	y.	y.	PROPN
ajst-8275	130	14	,	,	PUNCT
ajst-8275	130	15	&	&	CCONJ
ajst-8275	130	16	hinton	hinton	PROPN
ajst-8275	130	17	,	,	PUNCT
ajst-8275	130	18	g.	g.	PROPN
ajst-8275	130	19	deep	deep	ADJ
ajst-8275	130	20	learning	learning	NOUN
ajst-8275	130	21	.	.	PUNCT
ajst-8275	131	1	nature	nature	NOUN
ajst-8275	131	2	,	,	PUNCT
ajst-8275	131	3	521(7553	521(7553	NUM
ajst-8275	131	4	)	)	PUNCT
ajst-8275	131	5	,	,	PUNCT
ajst-8275	131	6	436	436	NUM
ajst-8275	131	7	-	-	SYM
ajst-8275	131	8	444	444	NUM
ajst-8275	131	9	(	(	PUNCT
ajst-8275	131	10	2015	2015	NUM
ajst-8275	131	11	)	)	PUNCT
ajst-8275	131	12	.	.	PUNCT
ajst-8275	132	1	doi	doi	PROPN
ajst-8275	132	2	:	:	PUNCT
ajst-8275	132	3	https://doi.org/10.1038/nature14539	https://doi.org/10.1038/nature14539	NOUN
ajst-8275	133	1	[	[	X
ajst-8275	133	2	10	10	NUM
ajst-8275	133	3	]	]	X
ajst-8275	133	4	khan	khan	PROPN
ajst-8275	133	5	,	,	PUNCT
ajst-8275	133	6	n.	n.	PROPN
ajst-8275	133	7	,	,	PUNCT
ajst-8275	133	8	islam	islam	PROPN
ajst-8275	133	9	,	,	PUNCT
ajst-8275	133	10	m.	m.	PROPN
ajst-8275	133	11	r.	r.	PROPN
ajst-8275	133	12	,	,	PUNCT
ajst-8275	133	13	&	&	CCONJ
ajst-8275	133	14	das	das	PROPN
ajst-8275	133	15	,	,	PUNCT
ajst-8275	133	16	d.	d.	PROPN
ajst-8275	133	17	lbp	lbp	PROPN
ajst-8275	133	18	histogram	histogram	PROPN
ajst-8275	134	1	based	base	VERB
ajst-8275	134	2	face	face	NOUN
ajst-8275	134	3	recognition	recognition	NOUN
ajst-8275	134	4	using	use	VERB
ajst-8275	134	5	pca	pca	PROPN
ajst-8275	134	6	and	and	CCONJ
ajst-8275	134	7	svm	svm	PROPN
ajst-8275	134	8	.	.	PROPN
ajst-8275	134	9	international	international	ADJ
ajst-8275	134	10	journal	journal	NOUN
ajst-8275	134	11	of	of	ADP
ajst-8275	134	12	image	image	NOUN
ajst-8275	134	13	,	,	PUNCT
ajst-8275	134	14	graphics	graphic	NOUN
ajst-8275	134	15	and	and	CCONJ
ajst-8275	134	16	signal	signal	PROPN
ajst-8275	134	17	processing	processing	NOUN
ajst-8275	134	18	,	,	PUNCT
ajst-8275	134	19	11	11	NUM
ajst-8275	134	20	(	(	PUNCT
ajst-8275	134	21	6	6	NUM
ajst-8275	134	22	)	)	PUNCT
ajst-8275	134	23	,	,	PUNCT
ajst-8275	134	24	34	34	NUM
ajst-8275	134	25	-	-	SYM
ajst-8275	134	26	40	40	NUM
ajst-8275	134	27	(	(	PUNCT
ajst-8275	134	28	2019	2019	NUM
ajst-8275	134	29	)	)	PUNCT
ajst-8275	134	30	.	.	PUNCT
ajst-8275	135	1	doi	doi	NOUN
ajst-8275	135	2	:	:	PUNCT
ajst-8275	135	3	https://doi.org/10.5815/ijigsp.2019.06.04	https://doi.org/10.5815/ijigsp.2019.06.04	X