id	sid	tid	token	lemma	pos
ajst-30378	1	1	microsoft	microsoft	PROPN
ajst-30378	1	2	word	word	NOUN
ajst-30378	1	3	13-drp21827排板.docx	13-drp21827排板.docx	NUM
ajst-30378	1	4	academic	academic	ADJ
ajst-30378	1	5	journal	journal	NOUN
ajst-30378	1	6	of	of	ADP
ajst-30378	1	7	science	science	NOUN
ajst-30378	1	8	and	and	CCONJ
ajst-30378	1	9	technology	technology	NOUN
ajst-30378	1	10	issn	issn	NOUN
ajst-30378	1	11	:	:	PUNCT
ajst-30378	1	12	2771	2771	NUM
ajst-30378	1	13	-	-	SYM
ajst-30378	1	14	3032	3032	NUM
ajst-30378	1	15	|	|	NOUN
ajst-30378	1	16	vol	vol	NOUN
ajst-30378	1	17	.	.	PROPN
ajst-30378	1	18	15	15	NUM
ajst-30378	1	19	,	,	PUNCT
ajst-30378	1	20	no	no	INTJ
ajst-30378	1	21	.	.	NOUN
ajst-30378	1	22	1	1	NUM
ajst-30378	1	23	,	,	PUNCT
ajst-30378	1	24	2025	2025	NUM
ajst-30378	1	25	74	74	NUM
ajst-30378	1	26	mathematical	mathematical	ADJ
ajst-30378	1	27	modeling	modeling	NOUN
ajst-30378	1	28	and	and	CCONJ
ajst-30378	1	29	optimization	optimization	NOUN
ajst-30378	1	30	of	of	ADP
ajst-30378	1	31	bench	bench	NOUN
ajst-30378	1	32	dragon	dragon	NOUN
ajst-30378	1	33	motion	motion	PROPN
ajst-30378	1	34	paths	path	NOUN
ajst-30378	1	35	zijun	zijun	PROPN
ajst-30378	1	36	shi	shi	PROPN
ajst-30378	1	37	#	#	PROPN
ajst-30378	1	38	,	,	PUNCT
ajst-30378	1	39	yurun	yurun	NOUN
ajst-30378	1	40	wei	wei	PROPN
ajst-30378	1	41	#	#	SYM
ajst-30378	1	42	,	,	PUNCT
ajst-30378	1	43	chengjie	chengjie	PROPN
ajst-30378	1	44	zhang	zhang	PROPN
ajst-30378	1	45	#	#	NOUN
ajst-30378	1	46	faculty	faculty	NOUN
ajst-30378	1	47	of	of	ADP
ajst-30378	1	48	science	science	NOUN
ajst-30378	1	49	,	,	PUNCT
ajst-30378	1	50	harbin	harbin	PROPN
ajst-30378	1	51	university	university	PROPN
ajst-30378	1	52	of	of	ADP
ajst-30378	1	53	science	science	NOUN
ajst-30378	1	54	and	and	CCONJ
ajst-30378	1	55	technology	technology	NOUN
ajst-30378	1	56	,	,	PUNCT
ajst-30378	1	57	harbin	harbin	NOUN
ajst-30378	1	58	,	,	PUNCT
ajst-30378	1	59	150080	150080	NUM
ajst-30378	1	60	,	,	PUNCT
ajst-30378	1	61	china	china	PROPN
ajst-30378	1	62	#	#	PROPN
ajst-30378	1	63	these	these	DET
ajst-30378	1	64	authors	author	NOUN
ajst-30378	1	65	contributed	contribute	VERB
ajst-30378	1	66	equally	equally	ADV
ajst-30378	1	67	.	.	PUNCT
ajst-30378	2	1	abstract	abstract	ADJ
ajst-30378	2	2	:	:	PUNCT
ajst-30378	2	3	"	"	PUNCT
ajst-30378	2	4	bench	bench	NOUN
ajst-30378	2	5	dragon	dragon	NOUN
ajst-30378	2	6	"	"	PUNCT
ajst-30378	2	7	is	be	AUX
ajst-30378	2	8	a	a	DET
ajst-30378	2	9	traditional	traditional	ADJ
ajst-30378	2	10	folk	folk	NOUN
ajst-30378	2	11	culture	culture	NOUN
ajst-30378	2	12	activity	activity	NOUN
ajst-30378	2	13	in	in	ADP
ajst-30378	2	14	zhejiang	zhejiang	PROPN
ajst-30378	2	15	and	and	CCONJ
ajst-30378	3	1	fujian	fujian	PROPN
ajst-30378	3	2	provinces	province	NOUN
ajst-30378	3	3	from	from	ADP
ajst-30378	3	4	china	china	PROPN
ajst-30378	3	5	,	,	PUNCT
ajst-30378	3	6	which	which	PRON
ajst-30378	3	7	has	have	VERB
ajst-30378	3	8	the	the	DET
ajst-30378	3	9	value	value	NOUN
ajst-30378	3	10	of	of	ADP
ajst-30378	3	11	viewing	viewing	NOUN
ajst-30378	3	12	and	and	CCONJ
ajst-30378	3	13	sports	sport	NOUN
ajst-30378	3	14	.	.	PUNCT
ajst-30378	4	1	participants	participant	NOUN
ajst-30378	4	2	'	'	PART
ajst-30378	4	3	benches	bench	NOUN
ajst-30378	4	4	are	be	AUX
ajst-30378	4	5	connected	connect	VERB
ajst-30378	4	6	end	end	NOUN
ajst-30378	4	7	to	to	ADP
ajst-30378	4	8	end	end	NOUN
ajst-30378	4	9	,	,	PUNCT
ajst-30378	4	10	forming	form	VERB
ajst-30378	4	11	a	a	DET
ajst-30378	4	12	dragon	dragon	NOUN
ajst-30378	4	13	shape	shape	NOUN
ajst-30378	4	14	.	.	PUNCT
ajst-30378	5	1	to	to	PART
ajst-30378	5	2	optimize	optimize	VERB
ajst-30378	5	3	the	the	DET
ajst-30378	5	4	performance	performance	NOUN
ajst-30378	5	5	,	,	PUNCT
ajst-30378	5	6	this	this	DET
ajst-30378	5	7	paper	paper	NOUN
ajst-30378	5	8	establishes	establish	VERB
ajst-30378	5	9	a	a	DET
ajst-30378	5	10	mathematical	mathematical	ADJ
ajst-30378	5	11	model	model	NOUN
ajst-30378	5	12	covering	cover	VERB
ajst-30378	5	13	collision	collision	NOUN
ajst-30378	5	14	detection	detection	NOUN
ajst-30378	5	15	,	,	PUNCT
ajst-30378	5	16	pitch	pitch	NOUN
ajst-30378	5	17	optimization	optimization	NOUN
ajst-30378	5	18	,	,	PUNCT
ajst-30378	5	19	and	and	CCONJ
ajst-30378	5	20	turning	turn	VERB
ajst-30378	5	21	path	path	NOUN
ajst-30378	5	22	design	design	NOUN
ajst-30378	5	23	.	.	PUNCT
ajst-30378	6	1	the	the	DET
ajst-30378	6	2	collision	collision	NOUN
ajst-30378	6	3	detection	detection	NOUN
ajst-30378	6	4	adopts	adopt	VERB
ajst-30378	6	5	the	the	DET
ajst-30378	6	6	separation	separation	NOUN
ajst-30378	6	7	axis	axis	NOUN
ajst-30378	6	8	theorem	theorem	PROPN
ajst-30378	6	9	(	(	PUNCT
ajst-30378	6	10	sat	sit	VERB
ajst-30378	6	11	algorithm	algorithm	NOUN
ajst-30378	6	12	)	)	PUNCT
ajst-30378	6	13	to	to	PART
ajst-30378	6	14	calculate	calculate	VERB
ajst-30378	6	15	the	the	DET
ajst-30378	6	16	normal	normal	ADJ
ajst-30378	6	17	vector	vector	NOUN
ajst-30378	6	18	and	and	CCONJ
ajst-30378	6	19	projection	projection	NOUN
ajst-30378	6	20	of	of	ADP
ajst-30378	6	21	the	the	DET
ajst-30378	6	22	benchframe	benchframe	NOUN
ajst-30378	6	23	to	to	PART
ajst-30378	6	24	judge	judge	VERB
ajst-30378	6	25	whether	whether	SCONJ
ajst-30378	6	26	the	the	DET
ajst-30378	6	27	intersection	intersection	NOUN
ajst-30378	6	28	and	and	CCONJ
ajst-30378	6	29	ensure	ensure	VERB
ajst-30378	6	30	the	the	DET
ajst-30378	6	31	safety	safety	NOUN
ajst-30378	6	32	in	in	ADP
ajst-30378	6	33	the	the	DET
ajst-30378	6	34	dynamic	dynamic	ADJ
ajst-30378	6	35	environment	environment	NOUN
ajst-30378	6	36	.	.	PUNCT
ajst-30378	7	1	the	the	DET
ajst-30378	7	2	pitch	pitch	NOUN
ajst-30378	7	3	is	be	AUX
ajst-30378	7	4	optimized	optimize	VERB
ajst-30378	7	5	using	use	VERB
ajst-30378	7	6	the	the	DET
ajst-30378	7	7	iterative	iterative	NOUN
ajst-30378	7	8	method	method	NOUN
ajst-30378	7	9	to	to	PART
ajst-30378	7	10	make	make	VERB
ajst-30378	7	11	the	the	DET
ajst-30378	7	12	bench	bench	NOUN
ajst-30378	7	13	dragon	dragon	NOUN
ajst-30378	7	14	turn	turn	VERB
ajst-30378	7	15	around	around	ADP
ajst-30378	7	16	smoothly	smoothly	ADV
ajst-30378	7	17	without	without	ADP
ajst-30378	7	18	collision	collision	NOUN
ajst-30378	7	19	,	,	PUNCT
ajst-30378	7	20	and	and	CCONJ
ajst-30378	7	21	the	the	DET
ajst-30378	7	22	optimal	optimal	ADJ
ajst-30378	7	23	pitch	pitch	NOUN
ajst-30378	7	24	is	be	AUX
ajst-30378	7	25	0.43	0.43	NUM
ajst-30378	7	26	meters	meter	NOUN
ajst-30378	7	27	.	.	PUNCT
ajst-30378	8	1	the	the	DET
ajst-30378	8	2	turning	turning	NOUN
ajst-30378	8	3	path	path	NOUN
ajst-30378	8	4	design	design	NOUN
ajst-30378	8	5	solves	solve	VERB
ajst-30378	8	6	the	the	DET
ajst-30378	8	7	cut	cut	NOUN
ajst-30378	8	8	point	point	NOUN
ajst-30378	8	9	by	by	ADP
ajst-30378	8	10	combining	combine	VERB
ajst-30378	8	11	the	the	DET
ajst-30378	8	12	circle	circle	NOUN
ajst-30378	8	13	equation	equation	NOUN
ajst-30378	8	14	,	,	PUNCT
ajst-30378	8	15	and	and	CCONJ
ajst-30378	8	16	optimizes	optimize	VERB
ajst-30378	8	17	the	the	DET
ajst-30378	8	18	path	path	NOUN
ajst-30378	8	19	by	by	ADP
ajst-30378	8	20	plane	plane	NOUN
ajst-30378	8	21	geometry	geometry	NOUN
ajst-30378	8	22	to	to	PART
ajst-30378	8	23	obtain	obtain	VERB
ajst-30378	8	24	the	the	DET
ajst-30378	8	25	shortest	short	ADJ
ajst-30378	8	26	turning	turning	NOUN
ajst-30378	8	27	path	path	NOUN
ajst-30378	8	28	.	.	PUNCT
ajst-30378	9	1	the	the	DET
ajst-30378	9	2	model	model	NOUN
ajst-30378	9	3	is	be	AUX
ajst-30378	9	4	accurate	accurate	ADJ
ajst-30378	9	5	and	and	CCONJ
ajst-30378	9	6	efficient	efficient	ADJ
ajst-30378	9	7	,	,	PUNCT
ajst-30378	9	8	describing	describe	VERB
ajst-30378	9	9	positions	position	NOUN
ajst-30378	9	10	and	and	CCONJ
ajst-30378	9	11	velocities	velocity	NOUN
ajst-30378	9	12	per	per	ADP
ajst-30378	9	13	second	second	NOUN
ajst-30378	9	14	from	from	ADP
ajst-30378	9	15	-100	-100	PROPN
ajst-30378	9	16	to	to	ADP
ajst-30378	9	17	100	100	NUM
ajst-30378	9	18	seconds	second	NOUN
ajst-30378	9	19	.	.	PUNCT
ajst-30378	10	1	future	future	ADJ
ajst-30378	10	2	studies	study	NOUN
ajst-30378	10	3	could	could	AUX
ajst-30378	10	4	further	far	ADV
ajst-30378	10	5	consider	consider	VERB
ajst-30378	10	6	the	the	DET
ajst-30378	10	7	complicated	complicated	ADJ
ajst-30378	10	8	situations	situation	NOUN
ajst-30378	10	9	such	such	ADJ
ajst-30378	10	10	as	as	ADP
ajst-30378	10	11	deformation	deformation	NOUN
ajst-30378	10	12	of	of	ADP
ajst-30378	10	13	the	the	DET
ajst-30378	10	14	bench	bench	NOUN
ajst-30378	10	15	to	to	PART
ajst-30378	10	16	accommodate	accommodate	VERB
ajst-30378	10	17	the	the	DET
ajst-30378	10	18	varied	varied	ADJ
ajst-30378	10	19	scenes	scene	NOUN
ajst-30378	10	20	.	.	PUNCT
ajst-30378	11	1	this	this	DET
ajst-30378	11	2	manuscript	manuscript	NOUN
ajst-30378	11	3	provides	provide	VERB
ajst-30378	11	4	theoretical	theoretical	ADJ
ajst-30378	11	5	support	support	NOUN
ajst-30378	11	6	for	for	ADP
ajst-30378	11	7	the	the	DET
ajst-30378	11	8	design	design	NOUN
ajst-30378	11	9	and	and	CCONJ
ajst-30378	11	10	optimization	optimization	NOUN
ajst-30378	11	11	of	of	ADP
ajst-30378	11	12	the	the	DET
ajst-30378	11	13	bench	bench	NOUN
ajst-30378	11	14	-	-	PUNCT
ajst-30378	11	15	dragon	dragon	NOUN
ajst-30378	11	16	performance	performance	NOUN
ajst-30378	11	17	and	and	CCONJ
ajst-30378	11	18	demonstrates	demonstrate	VERB
ajst-30378	11	19	the	the	DET
ajst-30378	11	20	application	application	NOUN
ajst-30378	11	21	value	value	NOUN
ajst-30378	11	22	of	of	ADP
ajst-30378	11	23	mathematical	mathematical	ADJ
ajst-30378	11	24	modeling	modeling	NOUN
ajst-30378	11	25	in	in	ADP
ajst-30378	11	26	traditional	traditional	ADJ
ajst-30378	11	27	culture	culture	NOUN
ajst-30378	11	28	.	.	PUNCT
ajst-30378	12	1	keywords	keyword	NOUN
ajst-30378	12	2	:	:	PUNCT
ajst-30378	12	3	optimization	optimization	NOUN
ajst-30378	12	4	algorithm	algorithm	NOUN
ajst-30378	12	5	,	,	PUNCT
ajst-30378	12	6	motion	motion	NOUN
ajst-30378	12	7	prediction	prediction	NOUN
ajst-30378	12	8	,	,	PUNCT
ajst-30378	12	9	bench	bench	NOUN
ajst-30378	12	10	dragon	dragon	NOUN
ajst-30378	12	11	.	.	PUNCT
ajst-30378	13	1	1	1	X
ajst-30378	13	2	.	.	X
ajst-30378	13	3	introduction	introduction	NOUN
ajst-30378	13	4	the	the	DET
ajst-30378	13	5	bench	bench	NOUN
ajst-30378	13	6	-	-	PUNCT
ajst-30378	13	7	dragon	dragon	NOUN
ajst-30378	13	8	also	also	ADV
ajst-30378	13	9	known	know	VERB
ajst-30378	13	10	as	as	ADP
ajst-30378	13	11	panlong	panlong	NOUN
ajst-30378	13	12	,	,	PUNCT
ajst-30378	13	13	is	be	AUX
ajst-30378	13	14	a	a	DET
ajst-30378	13	15	traditional	traditional	ADJ
ajst-30378	13	16	folk	folk	NOUN
ajst-30378	13	17	culture	culture	NOUN
ajst-30378	13	18	activity	activity	NOUN
ajst-30378	13	19	originated	originate	VERB
ajst-30378	13	20	in	in	ADP
ajst-30378	13	21	zhejiang	zhejiang	PROPN
ajst-30378	13	22	and	and	CCONJ
ajst-30378	13	23	fujian	fujian	PROPN
ajst-30378	13	24	,	,	PUNCT
ajst-30378	13	25	china	china	PROPN
ajst-30378	13	26	,	,	PUNCT
ajst-30378	13	27	with	with	ADP
ajst-30378	13	28	profound	profound	ADJ
ajst-30378	13	29	historical	historical	ADJ
ajst-30378	13	30	and	and	CCONJ
ajst-30378	13	31	cultural	cultural	ADJ
ajst-30378	13	32	deposits	deposit	NOUN
ajst-30378	13	33	.	.	PUNCT
ajst-30378	14	1	the	the	DET
ajst-30378	14	2	event	event	NOUN
ajst-30378	14	3	is	be	AUX
ajst-30378	14	4	usually	usually	ADV
ajst-30378	14	5	held	hold	VERB
ajst-30378	14	6	during	during	ADP
ajst-30378	14	7	festivals	festival	NOUN
ajst-30378	14	8	or	or	CCONJ
ajst-30378	14	9	special	special	ADJ
ajst-30378	14	10	occasions	occasion	NOUN
ajst-30378	14	11	,	,	PUNCT
ajst-30378	14	12	symbolizing	symbolize	VERB
ajst-30378	14	13	unity	unity	NOUN
ajst-30378	14	14	,	,	PUNCT
ajst-30378	14	15	strength	strength	NOUN
ajst-30378	14	16	,	,	PUNCT
ajst-30378	14	17	and	and	CCONJ
ajst-30378	14	18	good	good	ADJ
ajst-30378	14	19	luck	luck	NOUN
ajst-30378	14	20	.	.	PUNCT
ajst-30378	15	1	what	what	PRON
ajst-30378	15	2	is	be	AUX
ajst-30378	15	3	unique	unique	ADJ
ajst-30378	15	4	is	be	AUX
ajst-30378	15	5	that	that	SCONJ
ajst-30378	15	6	it	it	PRON
ajst-30378	15	7	is	be	AUX
ajst-30378	15	8	not	not	PART
ajst-30378	15	9	performed	perform	VERB
ajst-30378	15	10	by	by	ADP
ajst-30378	15	11	traditional	traditional	ADJ
ajst-30378	15	12	dragon	dragon	NOUN
ajst-30378	15	13	-	-	PUNCT
ajst-30378	15	14	shaped	shape	VERB
ajst-30378	15	15	props	prop	NOUN
ajst-30378	15	16	,	,	PUNCT
ajst-30378	15	17	but	but	CCONJ
ajst-30378	15	18	by	by	ADP
ajst-30378	15	19	connecting	connect	VERB
ajst-30378	15	20	multiple	multiple	ADJ
ajst-30378	15	21	benches	bench	NOUN
ajst-30378	15	22	end	end	VERB
ajst-30378	15	23	to	to	PART
ajst-30378	15	24	end	end	NOUN
ajst-30378	15	25	to	to	PART
ajst-30378	15	26	form	form	VERB
ajst-30378	15	27	a	a	DET
ajst-30378	15	28	winding	wind	VERB
ajst-30378	15	29	dragon	dragon	NOUN
ajst-30378	15	30	shape	shape	NOUN
ajst-30378	15	31	,	,	PUNCT
ajst-30378	15	32	and	and	CCONJ
ajst-30378	15	33	then	then	ADV
ajst-30378	15	34	perform	perform	VERB
ajst-30378	15	35	.	.	PUNCT
ajst-30378	16	1	the	the	DET
ajst-30378	16	2	dragon	dragon	NOUN
ajst-30378	16	3	shape	shape	NOUN
ajst-30378	16	4	of	of	ADP
ajst-30378	16	5	the	the	DET
ajst-30378	16	6	performance	performance	NOUN
ajst-30378	16	7	is	be	AUX
ajst-30378	16	8	usually	usually	ADV
ajst-30378	16	9	composed	compose	VERB
ajst-30378	16	10	of	of	ADP
ajst-30378	16	11	dozens	dozen	NOUN
ajst-30378	16	12	to	to	ADP
ajst-30378	16	13	hundreds	hundred	NOUN
ajst-30378	16	14	of	of	ADP
ajst-30378	16	15	benches	bench	NOUN
ajst-30378	16	16	,	,	PUNCT
ajst-30378	16	17	which	which	PRON
ajst-30378	16	18	is	be	AUX
ajst-30378	16	19	huge	huge	ADJ
ajst-30378	16	20	and	and	CCONJ
ajst-30378	16	21	visually	visually	ADV
ajst-30378	16	22	stunning	stunning	ADJ
ajst-30378	16	23	.	.	PUNCT
ajst-30378	17	1	in	in	ADP
ajst-30378	17	2	addition	addition	NOUN
ajst-30378	17	3	to	to	ADP
ajst-30378	17	4	the	the	DET
ajst-30378	17	5	symbolic	symbolic	ADJ
ajst-30378	17	6	significance	significance	NOUN
ajst-30378	17	7	of	of	ADP
ajst-30378	17	8	entertainment	entertainment	NOUN
ajst-30378	17	9	and	and	CCONJ
ajst-30378	17	10	folk	folk	NOUN
ajst-30378	17	11	culture	culture	NOUN
ajst-30378	17	12	,	,	PUNCT
ajst-30378	17	13	the	the	DET
ajst-30378	17	14	movement	movement	NOUN
ajst-30378	17	15	mode	mode	NOUN
ajst-30378	17	16	of	of	ADP
ajst-30378	17	17	the	the	DET
ajst-30378	17	18	bench	bench	NOUN
ajst-30378	17	19	-	-	PUNCT
ajst-30378	17	20	dragon	dragon	NOUN
ajst-30378	17	21	and	and	CCONJ
ajst-30378	17	22	its	its	PRON
ajst-30378	17	23	unique	unique	ADJ
ajst-30378	17	24	snake	snake	NOUN
ajst-30378	17	25	dancing	dancing	NOUN
ajst-30378	17	26	path	path	NOUN
ajst-30378	17	27	also	also	ADV
ajst-30378	17	28	have	have	VERB
ajst-30378	17	29	certain	certain	ADJ
ajst-30378	17	30	academic	academic	ADJ
ajst-30378	17	31	research	research	NOUN
ajst-30378	17	32	value	value	NOUN
ajst-30378	17	33	,	,	PUNCT
ajst-30378	17	34	especially	especially	ADV
ajst-30378	17	35	for	for	ADP
ajst-30378	17	36	the	the	DET
ajst-30378	17	37	fields	field	NOUN
ajst-30378	17	38	of	of	ADP
ajst-30378	17	39	dynamics	dynamic	NOUN
ajst-30378	17	40	,	,	PUNCT
ajst-30378	17	41	space	space	NOUN
ajst-30378	17	42	movement	movement	NOUN
ajst-30378	17	43	model	model	NOUN
ajst-30378	17	44	and	and	CCONJ
ajst-30378	17	45	other	other	ADJ
ajst-30378	17	46	fields	field	NOUN
ajst-30378	17	47	.	.	PUNCT
ajst-30378	18	1	this	this	DET
ajst-30378	18	2	cultural	cultural	ADJ
ajst-30378	18	3	activity	activity	NOUN
ajst-30378	18	4	not	not	PART
ajst-30378	18	5	only	only	ADV
ajst-30378	18	6	gives	give	VERB
ajst-30378	18	7	people	people	NOUN
ajst-30378	18	8	a	a	DET
ajst-30378	18	9	strong	strong	ADJ
ajst-30378	18	10	visual	visual	ADJ
ajst-30378	18	11	impact	impact	NOUN
ajst-30378	18	12	,	,	PUNCT
ajst-30378	18	13	but	but	CCONJ
ajst-30378	18	14	also	also	ADV
ajst-30378	18	15	provides	provide	VERB
ajst-30378	18	16	a	a	DET
ajst-30378	18	17	practical	practical	ADJ
ajst-30378	18	18	basis	basis	NOUN
ajst-30378	18	19	for	for	ADP
ajst-30378	18	20	related	related	ADJ
ajst-30378	18	21	scientific	scientific	ADJ
ajst-30378	18	22	and	and	CCONJ
ajst-30378	18	23	model	model	NOUN
ajst-30378	18	24	research	research	NOUN
ajst-30378	18	25	.	.	PUNCT
ajst-30378	19	1	nowadays	nowadays	ADV
ajst-30378	19	2	,	,	PUNCT
ajst-30378	19	3	domestic	domestic	ADJ
ajst-30378	19	4	and	and	CCONJ
ajst-30378	19	5	foreign	foreign	ADJ
ajst-30378	19	6	scholars	scholar	NOUN
ajst-30378	19	7	have	have	AUX
ajst-30378	19	8	studied	study	VERB
ajst-30378	19	9	the	the	DET
ajst-30378	19	10	construction	construction	NOUN
ajst-30378	19	11	of	of	ADP
ajst-30378	19	12	optimization	optimization	NOUN
ajst-30378	19	13	models	model	NOUN
ajst-30378	19	14	and	and	CCONJ
ajst-30378	19	15	evaluated	evaluate	VERB
ajst-30378	19	16	various	various	ADJ
ajst-30378	19	17	models	model	NOUN
ajst-30378	19	18	.	.	PUNCT
ajst-30378	20	1	pardalos	pardalo	NOUN
ajst-30378	20	2	et	et	PROPN
ajst-30378	20	3	al	al	PROPN
ajst-30378	20	4	.	.	PUNCT
ajst-30378	21	1	[	[	X
ajst-30378	21	2	1	1	X
ajst-30378	21	3	]	]	AUX
ajst-30378	21	4	use	use	VERB
ajst-30378	21	5	simulated	simulate	VERB
ajst-30378	21	6	annealing	annealing	NOUN
ajst-30378	21	7	method	method	NOUN
ajst-30378	21	8	(	(	PUNCT
ajst-30378	21	9	sa	sa	NOUN
ajst-30378	21	10	)	)	PUNCT
ajst-30378	21	11	and	and	CCONJ
ajst-30378	21	12	hierarchical	hierarchical	ADJ
ajst-30378	21	13	analysis	analysis	NOUN
ajst-30378	21	14	method	method	NOUN
ajst-30378	21	15	to	to	PART
ajst-30378	21	16	establish	establish	VERB
ajst-30378	21	17	related	related	ADJ
ajst-30378	21	18	models	model	NOUN
ajst-30378	21	19	based	base	VERB
ajst-30378	21	20	on	on	ADP
ajst-30378	21	21	computation	computation	NOUN
ajst-30378	21	22	-	-	PUNCT
ajst-30378	21	23	intensive	intensive	ADJ
ajst-30378	21	24	optimization	optimization	NOUN
ajst-30378	21	25	problems	problem	NOUN
ajst-30378	21	26	and	and	CCONJ
ajst-30378	21	27	solve	solve	VERB
ajst-30378	21	28	np	np	ADV
ajst-30378	21	29	-	-	PUNCT
ajst-30378	21	30	hard	hard	ADJ
ajst-30378	21	31	optimization	optimization	NOUN
ajst-30378	21	32	problems	problem	NOUN
ajst-30378	21	33	;	;	PUNCT
ajst-30378	21	34	mahesh	mahesh	PROPN
ajst-30378	21	35	et	et	PROPN
ajst-30378	21	36	al	al	PROPN
ajst-30378	21	37	.	.	PUNCT
ajst-30378	22	1	[	[	X
ajst-30378	22	2	2	2	NUM
ajst-30378	22	3	]	]	AUX
ajst-30378	22	4	choose	choose	VERB
ajst-30378	22	5	ml	ml	X
ajst-30378	22	6	model	model	NOUN
ajst-30378	22	7	and	and	CCONJ
ajst-30378	22	8	conduct	conduct	VERB
ajst-30378	22	9	prediction	prediction	NOUN
ajst-30378	22	10	learning	learning	NOUN
ajst-30378	22	11	based	base	VERB
ajst-30378	22	12	on	on	ADP
ajst-30378	22	13	decision	decision	NOUN
ajst-30378	22	14	tree	tree	NOUN
ajst-30378	22	15	model	model	NOUN
ajst-30378	22	16	and	and	CCONJ
ajst-30378	22	17	multi	multi	NOUN
ajst-30378	22	18	-	-	NOUN
ajst-30378	22	19	model	model	NOUN
ajst-30378	22	20	to	to	PART
ajst-30378	22	21	complete	complete	VERB
ajst-30378	22	22	the	the	DET
ajst-30378	22	23	improvement	improvement	NOUN
ajst-30378	22	24	of	of	ADP
ajst-30378	22	25	machine	machine	NOUN
ajst-30378	22	26	learning	learning	NOUN
ajst-30378	22	27	algorithm	algorithm	NOUN
ajst-30378	22	28	;	;	PUNCT
ajst-30378	22	29	jordan	jordan	PROPN
ajst-30378	23	1	[	[	X
ajst-30378	23	2	3	3	X
ajst-30378	23	3	]	]	PUNCT
ajst-30378	23	4	et	et	PROPN
ajst-30378	23	5	al	al	PROPN
ajst-30378	23	6	.	.	PUNCT
ajst-30378	23	7	use	use	VERB
ajst-30378	23	8	the	the	DET
ajst-30378	23	9	development	development	NOUN
ajst-30378	23	10	of	of	ADP
ajst-30378	23	11	learning	learn	VERB
ajst-30378	23	12	algorithms	algorithm	NOUN
ajst-30378	23	13	and	and	CCONJ
ajst-30378	23	14	theories	theory	NOUN
ajst-30378	23	15	and	and	CCONJ
ajst-30378	23	16	the	the	DET
ajst-30378	23	17	availability	availability	NOUN
ajst-30378	23	18	of	of	ADP
ajst-30378	23	19	online	online	ADJ
ajst-30378	23	20	data	datum	NOUN
ajst-30378	23	21	and	and	CCONJ
ajst-30378	23	22	low	low	ADJ
ajst-30378	23	23	-	-	PUNCT
ajst-30378	23	24	cost	cost	NOUN
ajst-30378	23	25	computing	computing	NOUN
ajst-30378	23	26	to	to	PART
ajst-30378	23	27	drive	drive	VERB
ajst-30378	23	28	data	datum	NOUN
ajst-30378	23	29	-	-	PUNCT
ajst-30378	23	30	intensive	intensive	ADJ
ajst-30378	23	31	machine	machine	NOUN
ajst-30378	23	32	learning	learning	NOUN
ajst-30378	23	33	methods	method	NOUN
ajst-30378	23	34	;	;	PUNCT
ajst-30378	23	35	farooq	farooq	PROPN
ajst-30378	23	36	f[4	f[4	PROPN
ajst-30378	23	37	]	]	X
ajst-30378	23	38	et	et	PROPN
ajst-30378	23	39	al	al	PROPN
ajst-30378	23	40	.	.	PUNCT
ajst-30378	24	1	use	use	VERB
ajst-30378	24	2	the	the	DET
ajst-30378	24	3	machine	machine	NOUN
ajst-30378	24	4	intelligence	intelligence	NOUN
ajst-30378	24	5	algorithm	algorithm	NOUN
ajst-30378	24	6	and	and	CCONJ
ajst-30378	24	7	a	a	DET
ajst-30378	24	8	single	single	ADJ
ajst-30378	24	9	learner	learner	NOUN
ajst-30378	24	10	and	and	CCONJ
ajst-30378	24	11	an	an	DET
ajst-30378	24	12	integrated	integrated	ADJ
ajst-30378	24	13	learning	learning	NOUN
ajst-30378	24	14	model	model	NOUN
ajst-30378	24	15	for	for	ADP
ajst-30378	24	16	prediction	prediction	NOUN
ajst-30378	24	17	;	;	PUNCT
ajst-30378	24	18	abdullah[5	abdullah[5	X
ajst-30378	24	19	]	]	PUNCT
ajst-30378	24	20	proposes	propose	VERB
ajst-30378	24	21	an	an	DET
ajst-30378	24	22	improved	improved	ADJ
ajst-30378	24	23	support	support	NOUN
ajst-30378	24	24	vector	vector	NOUN
ajst-30378	24	25	machine	machine	NOUN
ajst-30378	24	26	(	(	PUNCT
ajst-30378	24	27	svm	svm	PROPN
ajst-30378	24	28	)	)	PUNCT
ajst-30378	24	29	model	model	NOUN
ajst-30378	24	30	,	,	PUNCT
ajst-30378	24	31	solve	solve	VERB
ajst-30378	24	32	the	the	DET
ajst-30378	24	33	evaluation	evaluation	NOUN
ajst-30378	24	34	and	and	CCONJ
ajst-30378	24	35	application	application	NOUN
ajst-30378	24	36	of	of	ADP
ajst-30378	24	37	svm	svm	ADJ
ajst-30378	24	38	model	model	NOUN
ajst-30378	24	39	in	in	ADP
ajst-30378	24	40	the	the	DET
ajst-30378	24	41	field	field	NOUN
ajst-30378	24	42	of	of	ADP
ajst-30378	24	43	mechanical	mechanical	ADJ
ajst-30378	24	44	learning	learning	NOUN
ajst-30378	24	45	;	;	PUNCT
ajst-30378	25	1	schonlau	schonlau	VERB
ajst-30378	25	2	et	et	PROPN
ajst-30378	25	3	al	al	PROPN
ajst-30378	26	1	[	[	X
ajst-30378	26	2	6	6	NUM
ajst-30378	26	3	]	]	PUNCT
ajst-30378	26	4	summarized	summarize	VERB
ajst-30378	26	5	the	the	DET
ajst-30378	26	6	default	default	NOUN
ajst-30378	26	7	data	datum	NOUN
ajst-30378	26	8	,	,	PUNCT
ajst-30378	26	9	combined	combine	VERB
ajst-30378	26	10	with	with	ADP
ajst-30378	26	11	the	the	DET
ajst-30378	26	12	random	random	ADJ
ajst-30378	26	13	forest	forest	NOUN
ajst-30378	26	14	algorithm	algorithm	NOUN
ajst-30378	26	15	(	(	PUNCT
ajst-30378	26	16	rf	rf	NOUN
ajst-30378	26	17	)	)	PUNCT
ajst-30378	26	18	,	,	PUNCT
ajst-30378	26	19	the	the	DET
ajst-30378	26	20	model	model	NOUN
ajst-30378	26	21	is	be	AUX
ajst-30378	26	22	built	build	VERB
ajst-30378	26	23	to	to	PART
ajst-30378	26	24	solve	solve	VERB
ajst-30378	26	25	the	the	DET
ajst-30378	26	26	credit	credit	NOUN
ajst-30378	26	27	risk	risk	NOUN
ajst-30378	26	28	assessment	assessment	NOUN
ajst-30378	26	29	problem	problem	NOUN
ajst-30378	26	30	for	for	ADP
ajst-30378	26	31	statistical	statistical	ADJ
ajst-30378	26	32	learning	learning	NOUN
ajst-30378	26	33	.	.	PUNCT
ajst-30378	27	1	in	in	ADP
ajst-30378	27	2	the	the	DET
ajst-30378	27	3	machine	machine	NOUN
ajst-30378	27	4	learning	learning	NOUN
ajst-30378	27	5	algorithm	algorithm	NOUN
ajst-30378	27	6	,	,	PUNCT
ajst-30378	27	7	the	the	DET
ajst-30378	27	8	rf	rf	NOUN
ajst-30378	27	9	random	random	ADJ
ajst-30378	27	10	forest	forest	NOUN
ajst-30378	27	11	model	model	NOUN
ajst-30378	27	12	developed	develop	VERB
ajst-30378	27	13	from	from	ADP
ajst-30378	27	14	the	the	DET
ajst-30378	27	15	decision	decision	NOUN
ajst-30378	27	16	tree	tree	NOUN
ajst-30378	27	17	shows	show	VERB
ajst-30378	27	18	a	a	DET
ajst-30378	27	19	strong	strong	ADJ
ajst-30378	27	20	generalization	generalization	NOUN
ajst-30378	27	21	ability	ability	NOUN
ajst-30378	27	22	and	and	CCONJ
ajst-30378	27	23	stability	stability	NOUN
ajst-30378	27	24	,	,	PUNCT
ajst-30378	27	25	which	which	PRON
ajst-30378	27	26	is	be	AUX
ajst-30378	27	27	widely	widely	ADV
ajst-30378	27	28	used	use	VERB
ajst-30378	27	29	in	in	ADP
ajst-30378	27	30	the	the	DET
ajst-30378	27	31	classification	classification	NOUN
ajst-30378	27	32	and	and	CCONJ
ajst-30378	27	33	regression	regression	NOUN
ajst-30378	27	34	problem	problem	NOUN
ajst-30378	27	35	[	[	X
ajst-30378	27	36	7	7	NUM
ajst-30378	27	37	]	]	PUNCT
ajst-30378	27	38	.	.	PUNCT
ajst-30378	28	1	however	however	ADV
ajst-30378	28	2	,	,	PUNCT
ajst-30378	28	3	traditional	traditional	ADJ
ajst-30378	28	4	machine	machine	NOUN
ajst-30378	28	5	learning	learning	NOUN
ajst-30378	28	6	methods	method	NOUN
ajst-30378	28	7	are	be	AUX
ajst-30378	28	8	often	often	ADV
ajst-30378	28	9	limited	limit	VERB
ajst-30378	28	10	by	by	ADP
ajst-30378	28	11	the	the	DET
ajst-30378	28	12	setting	setting	NOUN
ajst-30378	28	13	of	of	ADP
ajst-30378	28	14	parameters	parameter	NOUN
ajst-30378	28	15	.	.	PUNCT
ajst-30378	29	1	for	for	ADP
ajst-30378	29	2	example	example	NOUN
ajst-30378	29	3	,	,	PUNCT
ajst-30378	29	4	bp	bp	PROPN
ajst-30378	29	5	neural	neural	ADJ
ajst-30378	29	6	network	network	NOUN
ajst-30378	29	7	often	often	ADV
ajst-30378	29	8	causes	cause	VERB
ajst-30378	29	9	its	its	PRON
ajst-30378	29	10	emergence	emergence	NOUN
ajst-30378	29	11	to	to	PART
ajst-30378	29	12	trap	trap	VERB
ajst-30378	29	13	into	into	ADP
ajst-30378	29	14	the	the	DET
ajst-30378	29	15	local	local	ADJ
ajst-30378	29	16	optimal	optimal	ADJ
ajst-30378	29	17	solution	solution	NOUN
ajst-30378	29	18	and	and	CCONJ
ajst-30378	29	19	low	low	ADJ
ajst-30378	29	20	prediction	prediction	NOUN
ajst-30378	29	21	accuracy	accuracy	NOUN
ajst-30378	29	22	[	[	X
ajst-30378	29	23	8	8	NUM
ajst-30378	29	24	]	]	PUNCT
ajst-30378	29	25	.	.	PUNCT
ajst-30378	30	1	the	the	DET
ajst-30378	30	2	proposal	proposal	NOUN
ajst-30378	30	3	of	of	ADP
ajst-30378	30	4	other	other	ADJ
ajst-30378	30	5	algorithms	algorithm	NOUN
ajst-30378	30	6	brings	bring	VERB
ajst-30378	30	7	a	a	DET
ajst-30378	30	8	feasible	feasible	ADJ
ajst-30378	30	9	solution	solution	NOUN
ajst-30378	30	10	to	to	ADP
ajst-30378	30	11	the	the	DET
ajst-30378	30	12	optimization	optimization	NOUN
ajst-30378	30	13	of	of	ADP
ajst-30378	30	14	traditional	traditional	ADJ
ajst-30378	30	15	machine	machine	NOUN
ajst-30378	30	16	learning	learning	NOUN
ajst-30378	30	17	models	model	NOUN
ajst-30378	30	18	.	.	PUNCT
ajst-30378	31	1	particle	particle	NOUN
ajst-30378	31	2	swarm	swarm	NOUN
ajst-30378	31	3	algorithm	algorithm	NOUN
ajst-30378	31	4	(	(	PUNCT
ajst-30378	31	5	pso	pso	NOUN
ajst-30378	31	6	)	)	PUNCT
ajst-30378	32	1	[	[	X
ajst-30378	32	2	9	9	NUM
ajst-30378	32	3	]	]	PUNCT
ajst-30378	32	4	and	and	CCONJ
ajst-30378	32	5	ant	ant	ADJ
ajst-30378	32	6	swarm	swarm	NOUN
ajst-30378	32	7	algorithm	algorithm	NOUN
ajst-30378	32	8	(	(	PUNCT
ajst-30378	32	9	aco	aco	PROPN
ajst-30378	32	10	)	)	PUNCT
ajst-30378	33	1	[	[	X
ajst-30378	33	2	10	10	NUM
ajst-30378	33	3	]	]	PUNCT
ajst-30378	33	4	,	,	PUNCT
ajst-30378	33	5	as	as	SCONJ
ajst-30378	33	6	the	the	DET
ajst-30378	33	7	earliest	early	ADJ
ajst-30378	33	8	swarm	swarm	NOUN
ajst-30378	33	9	intelligence	intelligence	NOUN
ajst-30378	33	10	algorithm	algorithm	NOUN
ajst-30378	33	11	,	,	PUNCT
ajst-30378	33	12	have	have	AUX
ajst-30378	33	13	become	become	VERB
ajst-30378	33	14	the	the	DET
ajst-30378	33	15	cornerstone	cornerstone	NOUN
ajst-30378	33	16	of	of	ADP
ajst-30378	33	17	the	the	DET
ajst-30378	33	18	development	development	NOUN
ajst-30378	33	19	of	of	ADP
ajst-30378	33	20	subsequent	subsequent	ADJ
ajst-30378	33	21	swarm	swarm	NOUN
ajst-30378	33	22	intelligence	intelligence	NOUN
ajst-30378	33	23	algorithm	algorithm	NOUN
ajst-30378	33	24	,	,	PUNCT
ajst-30378	33	25	such	such	ADJ
ajst-30378	33	26	as	as	ADP
ajst-30378	33	27	one	one	NUM
ajst-30378	33	28	-	-	PUNCT
ajst-30378	33	29	dimensional	dimensional	ADJ
ajst-30378	33	30	convolutional	convolutional	ADJ
ajst-30378	33	31	neural	neural	ADJ
ajst-30378	33	32	network	network	NOUN
ajst-30378	33	33	(	(	PUNCT
ajst-30378	33	34	1dcnn	1dcnn	NUM
ajst-30378	33	35	)	)	PUNCT
ajst-30378	34	1	[	[	X
ajst-30378	34	2	11	11	NUM
ajst-30378	34	3	]	]	PUNCT
ajst-30378	34	4	,	,	PUNCT
ajst-30378	34	5	autoregressive	autoregressive	ADJ
ajst-30378	34	6	model	model	NOUN
ajst-30378	34	7	(	(	PUNCT
ajst-30378	34	8	ar	ar	NOUN
ajst-30378	34	9	)	)	PUNCT
ajst-30378	35	1	[	[	X
ajst-30378	35	2	12	12	NUM
ajst-30378	35	3	]	]	PUNCT
ajst-30378	35	4	,	,	PUNCT
ajst-30378	35	5	state	state	NOUN
ajst-30378	35	6	space	space	NOUN
ajst-30378	35	7	model	model	NOUN
ajst-30378	35	8	[	[	X
ajst-30378	35	9	13	13	NUM
ajst-30378	35	10	]	]	PUNCT
ajst-30378	35	11	,	,	PUNCT
ajst-30378	35	12	etc	etc	X
ajst-30378	35	13	.	.	X
ajst-30378	36	1	at	at	ADP
ajst-30378	36	2	the	the	DET
ajst-30378	36	3	same	same	ADJ
ajst-30378	36	4	time	time	NOUN
ajst-30378	36	5	of	of	ADP
ajst-30378	36	6	improving	improve	VERB
ajst-30378	36	7	these	these	DET
ajst-30378	36	8	algorithms	algorithm	NOUN
ajst-30378	36	9	,	,	PUNCT
ajst-30378	36	10	the	the	DET
ajst-30378	36	11	application	application	NOUN
ajst-30378	36	12	of	of	ADP
ajst-30378	36	13	intelligent	intelligent	ADJ
ajst-30378	36	14	algorithms	algorithm	NOUN
ajst-30378	36	15	to	to	PART
ajst-30378	36	16	optimize	optimize	VERB
ajst-30378	36	17	the	the	DET
ajst-30378	36	18	traditional	traditional	ADJ
ajst-30378	36	19	machine	machine	NOUN
ajst-30378	36	20	learning	learning	NOUN
ajst-30378	36	21	model	model	NOUN
ajst-30378	36	22	has	have	AUX
ajst-30378	36	23	been	be	AUX
ajst-30378	36	24	indepth	indepth	ADJ
ajst-30378	36	25	studied	study	VERB
ajst-30378	36	26	by	by	ADP
ajst-30378	36	27	scholars	scholar	NOUN
ajst-30378	36	28	at	at	ADP
ajst-30378	36	29	home	home	NOUN
ajst-30378	36	30	and	and	CCONJ
ajst-30378	36	31	abroad	abroad	ADV
ajst-30378	36	32	:	:	PUNCT
ajst-30378	36	33	mohamed	mohamed	PROPN
ajst-30378	36	34	abdel	abdel	PROPN
ajst-30378	36	35	-	-	PUNCT
ajst-30378	36	36	basset	basset	NOUN
ajst-30378	36	37	proposed	propose	VERB
ajst-30378	36	38	that	that	SCONJ
ajst-30378	36	39	the	the	DET
ajst-30378	36	40	starfinch	starfinch	NOUN
ajst-30378	36	41	optimization	optimization	NOUN
ajst-30378	36	42	algorithm	algorithm	NOUN
ajst-30378	36	43	noa	noa	PROPN
ajst-30378	37	1	[	[	X
ajst-30378	37	2	14	14	NUM
ajst-30378	37	3	]	]	PUNCT
ajst-30378	37	4	simulates	simulate	VERB
ajst-30378	37	5	the	the	DET
ajst-30378	37	6	two	two	NUM
ajst-30378	37	7	behaviors	behavior	NOUN
ajst-30378	37	8	of	of	ADP
ajst-30378	37	9	starfinches	starfinche	NOUN
ajst-30378	37	10	collecting	collect	VERB
ajst-30378	37	11	and	and	CCONJ
ajst-30378	37	12	storing	store	VERB
ajst-30378	37	13	food	food	NOUN
ajst-30378	37	14	in	in	ADP
ajst-30378	37	15	summer	summer	NOUN
ajst-30378	37	16	and	and	CCONJ
ajst-30378	37	17	autumn	autumn	NOUN
ajst-30378	37	18	,	,	PUNCT
ajst-30378	37	19	and	and	CCONJ
ajst-30378	37	20	searching	search	VERB
ajst-30378	37	21	for	for	ADP
ajst-30378	37	22	the	the	DET
ajst-30378	37	23	storage	storage	NOUN
ajst-30378	37	24	location	location	NOUN
ajst-30378	37	25	of	of	ADP
ajst-30378	37	26	food	food	NOUN
ajst-30378	37	27	in	in	ADP
ajst-30378	37	28	spring	spring	NOUN
ajst-30378	37	29	and	and	CCONJ
ajst-30378	37	30	winter	winter	NOUN
ajst-30378	37	31	.	.	PUNCT
ajst-30378	38	1	mohamed	mohamed	PROPN
ajst-30378	38	2	abdel	abdel	PROPN
ajst-30378	38	3	-	-	PUNCT
ajst-30378	38	4	basset	basset	PROPN
ajst-30378	38	5	et	et	PROPN
ajst-30378	38	6	al	al	PROPN
ajst-30378	38	7	.	.	PROPN
ajst-30378	38	8	proposed	propose	VERB
ajst-30378	38	9	the	the	DET
ajst-30378	38	10	spectral	spectral	ADJ
ajst-30378	38	11	optimization	optimization	NOUN
ajst-30378	38	12	algorithm	algorithm	NOUN
ajst-30378	38	13	(	(	PUNCT
ajst-30378	38	14	lso	lso	PROPN
ajst-30378	38	15	)	)	PUNCT
ajst-30378	39	1	[	[	X
ajst-30378	39	2	15	15	NUM
ajst-30378	39	3	]	]	X
ajst-30378	39	4	in	in	ADP
ajst-30378	39	5	2022	2022	NUM
ajst-30378	39	6	.	.	PUNCT
ajst-30378	40	1	the	the	DET
ajst-30378	40	2	spider	spider	NOUN
ajst-30378	40	3	bee	bee	PROPN
ajst-30378	40	4	optimization	optimization	NOUN
ajst-30378	40	5	algorithm	algorithm	NOUN
ajst-30378	40	6	(	(	PUNCT
ajst-30378	40	7	swo	swo	PROPN
ajst-30378	40	8	)	)	PUNCT
ajst-30378	41	1	[	[	X
ajst-30378	41	2	16	16	NUM
ajst-30378	41	3	]	]	PUNCT
ajst-30378	41	4	was	be	AUX
ajst-30378	41	5	proposed	propose	VERB
ajst-30378	41	6	by	by	ADP
ajst-30378	41	7	mohamed	mohamed	PROPN
ajst-30378	41	8	abdel	abdel	PROPN
ajst-30378	41	9	-	-	PUNCT
ajst-30378	41	10	basset	basset	PROPN
ajst-30378	41	11	et	et	PROPN
ajst-30378	41	12	al	al	PROPN
ajst-30378	41	13	.	.	PUNCT
ajst-30378	42	1	this	this	DET
ajst-30378	42	2	algorithm	algorithm	NOUN
ajst-30378	42	3	models	model	VERB
ajst-30378	42	4	the	the	DET
ajst-30378	42	5	hunting	hunting	NOUN
ajst-30378	42	6	,	,	PUNCT
ajst-30378	42	7	nesting	nesting	ADJ
ajst-30378	42	8	and	and	CCONJ
ajst-30378	42	9	mating	mating	NOUN
ajst-30378	42	10	behavior	behavior	NOUN
ajst-30378	42	11	of	of	ADP
ajst-30378	42	12	female	female	ADJ
ajst-30378	42	13	spider	spider	NOUN
ajst-30378	42	14	bees	bee	NOUN
ajst-30378	42	15	,	,	PUNCT
ajst-30378	42	16	and	and	CCONJ
ajst-30378	42	17	has	have	VERB
ajst-30378	42	18	the	the	DET
ajst-30378	42	19	advantages	advantage	NOUN
ajst-30378	42	20	of	of	ADP
ajst-30378	42	21	fast	fast	ADJ
ajst-30378	42	22	search	search	NOUN
ajst-30378	42	23	speed	speed	NOUN
ajst-30378	42	24	and	and	CCONJ
ajst-30378	42	25	high	high	ADJ
ajst-30378	42	26	solution	solution	NOUN
ajst-30378	42	27	accuracy	accuracy	NOUN
ajst-30378	42	28	.	.	PUNCT
ajst-30378	43	1	the	the	DET
ajst-30378	43	2	energy	energy	NOUN
ajst-30378	43	3	valley	valley	NOUN
ajst-30378	43	4	optimization	optimization	NOUN
ajst-30378	43	5	algorithm	algorithm	NOUN
ajst-30378	43	6	[	[	X
ajst-30378	43	7	17	17	NUM
ajst-30378	43	8	]	]	PUNCT
ajst-30378	43	9	is	be	AUX
ajst-30378	43	10	a	a	DET
ajst-30378	43	11	novel	novel	ADJ
ajst-30378	43	12	meta	meta	ADJ
ajst-30378	43	13	-	-	PUNCT
ajst-30378	43	14	heuristic	heuristic	ADJ
ajst-30378	43	15	algorithm	algorithm	NOUN
ajst-30378	43	16	proposed	propose	VERB
ajst-30378	43	17	by	by	ADP
ajst-30378	43	18	mahdiazizi	mahdiazizi	PROPN
ajst-30378	43	19	et	et	PROPN
ajst-30378	43	20	al	al	PROPN
ajst-30378	43	21	.	.	PROPN
ajst-30378	43	22	in	in	ADP
ajst-30378	43	23	2023	2023	NUM
ajst-30378	43	24	,	,	PUNCT
ajst-30378	43	25	inspired	inspire	VERB
ajst-30378	43	26	by	by	ADP
ajst-30378	43	27	the	the	DET
ajst-30378	43	28	principle	principle	NOUN
ajst-30378	43	29	of	of	ADP
ajst-30378	43	30	the	the	DET
ajst-30378	43	31	physics	physics	NOUN
ajst-30378	43	32	about	about	ADP
ajst-30378	43	33	stability	stability	NOUN
ajst-30378	43	34	and	and	CCONJ
ajst-30378	43	35	different	different	ADJ
ajst-30378	43	36	particle	particle	NOUN
ajst-30378	43	37	decay	decay	NOUN
ajst-30378	43	38	modes	mode	NOUN
ajst-30378	43	39	.	.	PUNCT
ajst-30378	44	1	scholars	scholar	NOUN
ajst-30378	44	2	at	at	ADP
ajst-30378	44	3	home	home	ADV
ajst-30378	44	4	and	and	CCONJ
ajst-30378	44	5	abroad	abroad	ADV
ajst-30378	44	6	have	have	AUX
ajst-30378	44	7	done	do	VERB
ajst-30378	44	8	some	some	DET
ajst-30378	44	9	research	research	NOUN
ajst-30378	44	10	on	on	ADP
ajst-30378	44	11	the	the	DET
ajst-30378	44	12	intelligent	intelligent	ADJ
ajst-30378	44	13	optimization	optimization	NOUN
ajst-30378	44	14	algorithm	algorithm	NOUN
ajst-30378	44	15	,	,	PUNCT
ajst-30378	44	16	and	and	CCONJ
ajst-30378	44	17	they	they	PRON
ajst-30378	44	18	have	have	AUX
ajst-30378	44	19	also	also	ADV
ajst-30378	44	20	applied	apply	VERB
ajst-30378	44	21	it	it	PRON
ajst-30378	44	22	to	to	ADP
ajst-30378	44	23	many	many	ADJ
ajst-30378	44	24	75	75	NUM
ajst-30378	44	25	practical	practical	ADJ
ajst-30378	44	26	fields	field	NOUN
ajst-30378	44	27	.	.	PUNCT
ajst-30378	45	1	2	2	X
ajst-30378	45	2	.	.	X
ajst-30378	45	3	application	application	NOUN
ajst-30378	45	4	method	method	NOUN
ajst-30378	45	5	description	description	NOUN
ajst-30378	45	6	2.1	2.1	NUM
ajst-30378	45	7	.	.	PUNCT
ajst-30378	46	1	geometric	geometric	ADJ
ajst-30378	46	2	models	model	NOUN
ajst-30378	46	3	and	and	CCONJ
ajst-30378	46	4	mathematical	mathematical	ADJ
ajst-30378	46	5	functions	function	NOUN
ajst-30378	46	6	in	in	ADP
ajst-30378	46	7	order	order	NOUN
ajst-30378	46	8	to	to	PART
ajst-30378	46	9	better	well	ADV
ajst-30378	46	10	solve	solve	VERB
ajst-30378	46	11	the	the	DET
ajst-30378	46	12	bench	bench	NOUN
ajst-30378	46	13	dragon	dragon	NOUN
ajst-30378	46	14	problem	problem	NOUN
ajst-30378	46	15	and	and	CCONJ
ajst-30378	46	16	enable	enable	VERB
ajst-30378	46	17	the	the	DET
ajst-30378	46	18	application	application	NOUN
ajst-30378	46	19	of	of	ADP
ajst-30378	46	20	the	the	DET
ajst-30378	46	21	results	result	NOUN
ajst-30378	46	22	to	to	ADP
ajst-30378	46	23	a	a	DET
ajst-30378	46	24	wider	wide	ADJ
ajst-30378	46	25	field	field	NOUN
ajst-30378	46	26	.	.	PUNCT
ajst-30378	47	1	we	we	PRON
ajst-30378	47	2	first	first	ADV
ajst-30378	47	3	translate	translate	VERB
ajst-30378	47	4	some	some	DET
ajst-30378	47	5	abstract	abstract	ADJ
ajst-30378	47	6	data	datum	NOUN
ajst-30378	47	7	and	and	CCONJ
ajst-30378	47	8	its	its	PRON
ajst-30378	47	9	concepts	concept	NOUN
ajst-30378	47	10	from	from	ADP
ajst-30378	47	11	the	the	DET
ajst-30378	47	12	benchdragon	benchdragon	PROPN
ajst-30378	47	13	problem	problem	NOUN
ajst-30378	47	14	into	into	ADP
ajst-30378	47	15	mathematical	mathematical	ADJ
ajst-30378	47	16	problems	problem	NOUN
ajst-30378	47	17	,	,	PUNCT
ajst-30378	47	18	and	and	CCONJ
ajst-30378	47	19	each	each	DET
ajst-30378	47	20	part	part	NOUN
ajst-30378	47	21	of	of	ADP
ajst-30378	47	22	the	the	DET
ajst-30378	47	23	bench	bench	NOUN
ajst-30378	47	24	dragon	dragon	NOUN
ajst-30378	47	25	is	be	AUX
ajst-30378	47	26	regarded	regard	VERB
ajst-30378	47	27	as	as	ADP
ajst-30378	47	28	a	a	DET
ajst-30378	47	29	regular	regular	ADJ
ajst-30378	47	30	rectangular	rectangular	ADJ
ajst-30378	47	31	graph	graph	NOUN
ajst-30378	47	32	according	accord	VERB
ajst-30378	47	33	to	to	ADP
ajst-30378	47	34	the	the	DET
ajst-30378	47	35	specific	specific	ADJ
ajst-30378	47	36	needs	need	NOUN
ajst-30378	47	37	.	.	PUNCT
ajst-30378	48	1	then	then	ADV
ajst-30378	48	2	,	,	PUNCT
ajst-30378	48	3	we	we	PRON
ajst-30378	48	4	transformed	transform	VERB
ajst-30378	48	5	the	the	DET
ajst-30378	48	6	movement	movement	NOUN
ajst-30378	48	7	trajectory	trajectory	NOUN
ajst-30378	48	8	of	of	ADP
ajst-30378	48	9	the	the	DET
ajst-30378	48	10	bench	bench	NOUN
ajst-30378	48	11	dragon	dragon	NOUN
ajst-30378	48	12	into	into	ADP
ajst-30378	48	13	the	the	DET
ajst-30378	48	14	movement	movement	NOUN
ajst-30378	48	15	of	of	ADP
ajst-30378	48	16	the	the	DET
ajst-30378	48	17	rectangular	rectangular	ADJ
ajst-30378	48	18	center	center	NOUN
ajst-30378	48	19	through	through	ADP
ajst-30378	48	20	some	some	DET
ajst-30378	48	21	physical	physical	ADJ
ajst-30378	48	22	models	model	NOUN
ajst-30378	48	23	,	,	PUNCT
ajst-30378	48	24	such	such	ADJ
ajst-30378	48	25	as	as	ADP
ajst-30378	48	26	the	the	DET
ajst-30378	48	27	center	center	NOUN
ajst-30378	48	28	of	of	ADP
ajst-30378	48	29	mass	mass	PROPN
ajst-30378	48	30	motion	motion	NOUN
ajst-30378	48	31	model	model	NOUN
ajst-30378	48	32	,	,	PUNCT
ajst-30378	48	33	considering	consider	VERB
ajst-30378	48	34	the	the	DET
ajst-30378	48	35	collision	collision	NOUN
ajst-30378	48	36	situation	situation	NOUN
ajst-30378	48	37	as	as	ADP
ajst-30378	48	38	the	the	DET
ajst-30378	48	39	intersection	intersection	NOUN
ajst-30378	48	40	of	of	ADP
ajst-30378	48	41	the	the	DET
ajst-30378	48	42	border	border	NOUN
ajst-30378	48	43	lines	line	NOUN
ajst-30378	48	44	of	of	ADP
ajst-30378	48	45	two	two	NUM
ajst-30378	48	46	rectangular	rectangular	ADJ
ajst-30378	48	47	blocks	block	NOUN
ajst-30378	48	48	.	.	PUNCT
ajst-30378	49	1	last	last	ADJ
ajst-30378	49	2	,	,	PUNCT
ajst-30378	49	3	we	we	PRON
ajst-30378	49	4	properly	properly	ADV
ajst-30378	49	5	used	use	VERB
ajst-30378	49	6	some	some	DET
ajst-30378	49	7	mathematical	mathematical	ADJ
ajst-30378	49	8	function	function	NOUN
ajst-30378	49	9	equations	equation	NOUN
ajst-30378	49	10	(	(	PUNCT
ajst-30378	49	11	such	such	ADJ
ajst-30378	49	12	as	as	ADP
ajst-30378	49	13	the	the	DET
ajst-30378	49	14	archimedean	archimedean	ADJ
ajst-30378	49	15	screw	screw	NOUN
ajst-30378	49	16	)	)	PUNCT
ajst-30378	49	17	to	to	PART
ajst-30378	49	18	establish	establish	VERB
ajst-30378	49	19	the	the	DET
ajst-30378	49	20	trajectory	trajectory	NOUN
ajst-30378	49	21	equations	equation	NOUN
ajst-30378	49	22	and	and	CCONJ
ajst-30378	49	23	motion	motion	NOUN
ajst-30378	49	24	equations	equation	NOUN
ajst-30378	49	25	of	of	ADP
ajst-30378	49	26	bench	bench	NOUN
ajst-30378	49	27	-	-	PUNCT
ajst-30378	49	28	dragon	dragon	NOUN
ajst-30378	49	29	,	,	PUNCT
ajst-30378	49	30	and	and	CCONJ
ajst-30378	49	31	the	the	DET
ajst-30378	49	32	iterative	iterative	NOUN
ajst-30378	49	33	equation	equation	NOUN
ajst-30378	49	34	of	of	ADP
ajst-30378	49	35	speed	speed	NOUN
ajst-30378	49	36	and	and	CCONJ
ajst-30378	49	37	position	position	NOUN
ajst-30378	49	38	with	with	ADP
ajst-30378	49	39	time	time	NOUN
ajst-30378	49	40	is	be	AUX
ajst-30378	49	41	calculated	calculate	VERB
ajst-30378	49	42	.	.	PUNCT
ajst-30378	50	1	through	through	ADP
ajst-30378	50	2	the	the	DET
ajst-30378	50	3	proper	proper	ADJ
ajst-30378	50	4	application	application	NOUN
ajst-30378	50	5	of	of	ADP
ajst-30378	50	6	mathematical	mathematical	ADJ
ajst-30378	50	7	models	model	NOUN
ajst-30378	50	8	,	,	PUNCT
ajst-30378	50	9	this	this	PRON
ajst-30378	50	10	greatly	greatly	ADV
ajst-30378	50	11	simplifies	simplify	VERB
ajst-30378	50	12	the	the	DET
ajst-30378	50	13	calculation	calculation	NOUN
ajst-30378	50	14	process	process	NOUN
ajst-30378	50	15	of	of	ADP
ajst-30378	50	16	the	the	DET
ajst-30378	50	17	abstract	abstract	ADJ
ajst-30378	50	18	thing	thing	NOUN
ajst-30378	50	19	.	.	PUNCT
ajst-30378	51	1	2.2	2.2	NUM
ajst-30378	51	2	.	.	PUNCT
ajst-30378	51	3	optimize	optimize	VERB
ajst-30378	51	4	the	the	DET
ajst-30378	51	5	model	model	NOUN
ajst-30378	51	6	however	however	ADV
ajst-30378	51	7	,	,	PUNCT
ajst-30378	51	8	for	for	ADP
ajst-30378	51	9	some	some	DET
ajst-30378	51	10	problems	problem	NOUN
ajst-30378	51	11	in	in	ADP
ajst-30378	51	12	the	the	DET
ajst-30378	51	13	bench	bench	NOUN
ajst-30378	51	14	-	-	PUNCT
ajst-30378	51	15	dragon	dragon	NOUN
ajst-30378	51	16	model	model	NOUN
ajst-30378	51	17	,	,	PUNCT
ajst-30378	51	18	it	it	PRON
ajst-30378	51	19	is	be	AUX
ajst-30378	51	20	weak	weak	ADJ
ajst-30378	51	21	to	to	PART
ajst-30378	51	22	only	only	ADV
ajst-30378	51	23	rely	rely	VERB
ajst-30378	51	24	only	only	ADV
ajst-30378	51	25	on	on	ADP
ajst-30378	51	26	mathematical	mathematical	ADJ
ajst-30378	51	27	function	function	NOUN
ajst-30378	51	28	model	model	NOUN
ajst-30378	51	29	.	.	PUNCT
ajst-30378	52	1	we	we	PRON
ajst-30378	52	2	also	also	ADV
ajst-30378	52	3	need	need	VERB
ajst-30378	52	4	to	to	PART
ajst-30378	52	5	consider	consider	VERB
ajst-30378	52	6	some	some	DET
ajst-30378	52	7	existing	exist	VERB
ajst-30378	52	8	models	model	NOUN
ajst-30378	52	9	,	,	PUNCT
ajst-30378	52	10	such	such	ADJ
ajst-30378	52	11	as	as	ADP
ajst-30378	52	12	optimization	optimization	NOUN
ajst-30378	52	13	model	model	NOUN
ajst-30378	52	14	,	,	PUNCT
ajst-30378	52	15	neural	neural	ADJ
ajst-30378	52	16	network	network	NOUN
ajst-30378	52	17	model	model	NOUN
ajst-30378	52	18	,	,	PUNCT
ajst-30378	52	19	etc	etc	X
ajst-30378	52	20	.	.	X
ajst-30378	52	21	,	,	PUNCT
ajst-30378	52	22	among	among	ADP
ajst-30378	52	23	which	which	PRON
ajst-30378	52	24	the	the	DET
ajst-30378	52	25	optimization	optimization	NOUN
ajst-30378	52	26	model	model	NOUN
ajst-30378	52	27	is	be	AUX
ajst-30378	52	28	particularly	particularly	ADV
ajst-30378	52	29	important	important	ADJ
ajst-30378	52	30	in	in	ADP
ajst-30378	52	31	solving	solve	VERB
ajst-30378	52	32	the	the	DET
ajst-30378	52	33	bench	bench	NOUN
ajst-30378	52	34	-	-	PUNCT
ajst-30378	52	35	dragon	dragon	NOUN
ajst-30378	52	36	problem	problem	NOUN
ajst-30378	52	37	.	.	PUNCT
ajst-30378	53	1	next	next	ADV
ajst-30378	53	2	,	,	PUNCT
ajst-30378	53	3	we	we	PRON
ajst-30378	53	4	provide	provide	VERB
ajst-30378	53	5	a	a	DET
ajst-30378	53	6	detailed	detailed	ADJ
ajst-30378	53	7	introduction	introduction	NOUN
ajst-30378	53	8	of	of	ADP
ajst-30378	53	9	the	the	DET
ajst-30378	53	10	optimized	optimize	VERB
ajst-30378	53	11	model	model	NOUN
ajst-30378	53	12	.	.	PUNCT
ajst-30378	54	1	2.2.1	2.2.1	NUM
ajst-30378	54	2	.	.	PUNCT
ajst-30378	54	3	interpretation	interpretation	NOUN
ajst-30378	54	4	of	of	ADP
ajst-30378	54	5	the	the	DET
ajst-30378	54	6	optimization	optimization	NOUN
ajst-30378	54	7	algorithm	algorithm	NOUN
ajst-30378	54	8	the	the	DET
ajst-30378	54	9	optimization	optimization	NOUN
ajst-30378	54	10	algorithm	algorithm	NOUN
ajst-30378	54	11	is	be	AUX
ajst-30378	54	12	the	the	DET
ajst-30378	54	13	method	method	NOUN
ajst-30378	54	14	that	that	PRON
ajst-30378	54	15	minimizes	minimize	VERB
ajst-30378	54	16	the	the	DET
ajst-30378	54	17	strategy	strategy	NOUN
ajst-30378	54	18	(	(	PUNCT
ajst-30378	54	19	the	the	DET
ajst-30378	54	20	loss	loss	NOUN
ajst-30378	54	21	function	function	NOUN
ajst-30378	54	22	)	)	PUNCT
ajst-30378	54	23	or	or	CCONJ
ajst-30378	54	24	calculates	calculate	VERB
ajst-30378	54	25	the	the	DET
ajst-30378	54	26	optimal	optimal	ADJ
ajst-30378	54	27	solution	solution	NOUN
ajst-30378	54	28	of	of	ADP
ajst-30378	54	29	the	the	DET
ajst-30378	54	30	loss	loss	NOUN
ajst-30378	54	31	function	function	NOUN
ajst-30378	54	32	through	through	ADP
ajst-30378	54	33	the	the	DET
ajst-30378	54	34	iterative	iterative	NOUN
ajst-30378	54	35	method	method	NOUN
ajst-30378	54	36	(	(	PUNCT
ajst-30378	54	37	the	the	DET
ajst-30378	54	38	optimization	optimization	NOUN
ajst-30378	54	39	algorithm	algorithm	NOUN
ajst-30378	54	40	)	)	PUNCT
ajst-30378	54	41	.	.	PUNCT
ajst-30378	55	1	2.2.2	2.2.2	X
ajst-30378	55	2	.	.	PUNCT
ajst-30378	56	1	the	the	DET
ajst-30378	56	2	role	role	NOUN
ajst-30378	56	3	of	of	ADP
ajst-30378	56	4	the	the	DET
ajst-30378	56	5	optimization	optimization	NOUN
ajst-30378	56	6	algorithm	algorithm	NOUN
ajst-30378	56	7	simply	simply	ADV
ajst-30378	56	8	short	short	ADJ
ajst-30378	56	9	,	,	PUNCT
ajst-30378	56	10	the	the	DET
ajst-30378	56	11	function	function	NOUN
ajst-30378	56	12	of	of	ADP
ajst-30378	56	13	the	the	DET
ajst-30378	56	14	optimization	optimization	NOUN
ajst-30378	56	15	algorithm	algorithm	NOUN
ajst-30378	56	16	is	be	AUX
ajst-30378	56	17	to	to	PART
ajst-30378	56	18	adjust	adjust	VERB
ajst-30378	56	19	the	the	DET
ajst-30378	56	20	model	model	NOUN
ajst-30378	56	21	parameters	parameter	NOUN
ajst-30378	56	22	and	and	CCONJ
ajst-30378	56	23	then	then	ADV
ajst-30378	56	24	obtain	obtain	VERB
ajst-30378	56	25	the	the	DET
ajst-30378	56	26	minimum	minimum	ADJ
ajst-30378	56	27	loss	loss	NOUN
ajst-30378	56	28	function	function	NOUN
ajst-30378	56	29	.	.	PUNCT
ajst-30378	57	1	at	at	ADP
ajst-30378	57	2	present	present	ADJ
ajst-30378	57	3	,	,	PUNCT
ajst-30378	57	4	optimization	optimization	NOUN
ajst-30378	57	5	algorithms	algorithm	NOUN
ajst-30378	57	6	solve	solve	VERB
ajst-30378	57	7	the	the	DET
ajst-30378	57	8	optimal	optimal	ADJ
ajst-30378	57	9	solution	solution	NOUN
ajst-30378	57	10	of	of	ADP
ajst-30378	57	11	the	the	DET
ajst-30378	57	12	loss	loss	NOUN
ajst-30378	57	13	function	function	NOUN
ajst-30378	57	14	in	in	ADP
ajst-30378	57	15	an	an	DET
ajst-30378	57	16	iterative	iterative	ADJ
ajst-30378	57	17	way	way	NOUN
ajst-30378	57	18	.	.	PUNCT
ajst-30378	58	1	2.2.3	2.2.3	X
ajst-30378	58	2	.	.	X
ajst-30378	59	1	use	use	NOUN
ajst-30378	59	2	of	of	ADP
ajst-30378	59	3	the	the	DET
ajst-30378	59	4	optimization	optimization	NOUN
ajst-30378	59	5	algorithm	algorithm	NOUN
ajst-30378	59	6	1	1	NUM
ajst-30378	59	7	)	)	PUNCT
ajst-30378	59	8	convex	convex	NOUN
ajst-30378	59	9	optimization	optimization	NOUN
ajst-30378	59	10	problem	problem	NOUN
ajst-30378	59	11	:	:	PUNCT
ajst-30378	59	12	if	if	SCONJ
ajst-30378	59	13	the	the	DET
ajst-30378	59	14	amount	amount	NOUN
ajst-30378	59	15	of	of	ADP
ajst-30378	59	16	data	datum	NOUN
ajst-30378	59	17	is	be	AUX
ajst-30378	59	18	particularly	particularly	ADV
ajst-30378	59	19	large	large	ADJ
ajst-30378	59	20	,	,	PUNCT
ajst-30378	59	21	then	then	ADV
ajst-30378	59	22	the	the	DET
ajst-30378	59	23	gradient	gradient	ADJ
ajst-30378	59	24	calculation	calculation	NOUN
ajst-30378	59	25	is	be	AUX
ajst-30378	59	26	very	very	ADV
ajst-30378	59	27	timeconsuming	timeconsuming	ADJ
ajst-30378	59	28	,	,	PUNCT
ajst-30378	59	29	so	so	SCONJ
ajst-30378	59	30	we	we	PRON
ajst-30378	59	31	will	will	AUX
ajst-30378	59	32	choose	choose	VERB
ajst-30378	59	33	to	to	PART
ajst-30378	59	34	use	use	VERB
ajst-30378	59	35	the	the	DET
ajst-30378	59	36	iterative	iterative	NOUN
ajst-30378	59	37	method	method	NOUN
ajst-30378	59	38	to	to	PART
ajst-30378	59	39	solve	solve	VERB
ajst-30378	59	40	it	it	PRON
ajst-30378	59	41	.	.	PUNCT
ajst-30378	60	1	each	each	DET
ajst-30378	60	2	step	step	NOUN
ajst-30378	60	3	of	of	ADP
ajst-30378	60	4	the	the	DET
ajst-30378	60	5	iteration	iteration	NOUN
ajst-30378	60	6	is	be	AUX
ajst-30378	60	7	small	small	ADJ
ajst-30378	60	8	,	,	PUNCT
ajst-30378	60	9	and	and	CCONJ
ajst-30378	60	10	it	it	PRON
ajst-30378	60	11	is	be	AUX
ajst-30378	60	12	easy	easy	ADJ
ajst-30378	60	13	to	to	PART
ajst-30378	60	14	implement	implement	VERB
ajst-30378	60	15	.	.	PUNCT
ajst-30378	61	1	2	2	X
ajst-30378	61	2	)	)	PUNCT
ajst-30378	61	3	non	non	ADJ
ajst-30378	61	4	-	-	ADJ
ajst-30378	61	5	convex	convex	ADJ
ajst-30378	61	6	problem	problem	NOUN
ajst-30378	61	7	:	:	PUNCT
ajst-30378	61	8	it	it	PRON
ajst-30378	61	9	can	can	AUX
ajst-30378	61	10	only	only	ADV
ajst-30378	61	11	be	be	AUX
ajst-30378	61	12	solved	solve	VERB
ajst-30378	61	13	by	by	ADP
ajst-30378	61	14	iterative	iterative	NOUN
ajst-30378	61	15	method	method	NOUN
ajst-30378	61	16	,	,	PUNCT
ajst-30378	61	17	and	and	CCONJ
ajst-30378	61	18	the	the	DET
ajst-30378	61	19	value	value	NOUN
ajst-30378	61	20	of	of	ADP
ajst-30378	61	21	the	the	DET
ajst-30378	61	22	objective	objective	ADJ
ajst-30378	61	23	function	function	NOUN
ajst-30378	61	24	in	in	ADP
ajst-30378	61	25	each	each	DET
ajst-30378	61	26	iteration	iteration	NOUN
ajst-30378	61	27	becomes	become	VERB
ajst-30378	61	28	smaller	small	ADJ
ajst-30378	61	29	and	and	CCONJ
ajst-30378	61	30	the	the	DET
ajst-30378	61	31	optimal	optimal	ADJ
ajst-30378	61	32	solution	solution	NOUN
ajst-30378	61	33	is	be	AUX
ajst-30378	61	34	constantly	constantly	ADV
ajst-30378	61	35	approximated	approximate	VERB
ajst-30378	61	36	.	.	PUNCT
ajst-30378	62	1	in	in	ADP
ajst-30378	62	2	short	short	ADJ
ajst-30378	62	3	,	,	PUNCT
ajst-30378	62	4	the	the	DET
ajst-30378	62	5	focus	focus	NOUN
ajst-30378	62	6	of	of	ADP
ajst-30378	62	7	the	the	DET
ajst-30378	62	8	optimization	optimization	NOUN
ajst-30378	62	9	problem	problem	NOUN
ajst-30378	62	10	is	be	AUX
ajst-30378	62	11	the	the	DET
ajst-30378	62	12	iterative	iterative	ADJ
ajst-30378	62	13	method	method	NOUN
ajst-30378	62	14	to	to	PART
ajst-30378	62	15	use	use	VERB
ajst-30378	62	16	,	,	PUNCT
ajst-30378	62	17	that	that	PRON
ajst-30378	62	18	is	be	AUX
ajst-30378	62	19	to	to	PART
ajst-30378	62	20	find	find	VERB
ajst-30378	62	21	the	the	DET
ajst-30378	62	22	iterative	iterative	ADJ
ajst-30378	62	23	formula	formula	NOUN
ajst-30378	62	24	.	.	PUNCT
ajst-30378	63	1	2.2.4	2.2.4	X
ajst-30378	63	2	.	.	X
ajst-30378	63	3	optimize	optimize	VERB
ajst-30378	63	4	the	the	DET
ajst-30378	63	5	process	process	NOUN
ajst-30378	63	6	of	of	ADP
ajst-30378	63	7	the	the	DET
ajst-30378	63	8	algorithm	algorithm	NOUN
ajst-30378	63	9	for	for	ADP
ajst-30378	63	10	a	a	DET
ajst-30378	63	11	better	well	ADJ
ajst-30378	63	12	understanding	understanding	NOUN
ajst-30378	63	13	,	,	PUNCT
ajst-30378	63	14	we	we	PRON
ajst-30378	63	15	will	will	AUX
ajst-30378	63	16	present	present	VERB
ajst-30378	63	17	the	the	DET
ajst-30378	63	18	process	process	NOUN
ajst-30378	63	19	of	of	ADP
ajst-30378	63	20	optimizing	optimize	VERB
ajst-30378	63	21	the	the	DET
ajst-30378	63	22	algorithm	algorithm	NOUN
ajst-30378	63	23	in	in	ADP
ajst-30378	63	24	the	the	DET
ajst-30378	63	25	form	form	NOUN
ajst-30378	63	26	of	of	ADP
ajst-30378	63	27	the	the	DET
ajst-30378	63	28	following	follow	VERB
ajst-30378	63	29	flow	flow	NOUN
ajst-30378	63	30	chart	chart	NOUN
ajst-30378	63	31	:	:	PUNCT
ajst-30378	63	32	figure	figure	NOUN
ajst-30378	63	33	1	1	NUM
ajst-30378	63	34	.	.	PUNCT
ajst-30378	64	1	flow	flow	VERB
ajst-30378	64	2	chart	chart	NOUN
ajst-30378	64	3	of	of	ADP
ajst-30378	64	4	the	the	DET
ajst-30378	64	5	optimization	optimization	NOUN
ajst-30378	64	6	algorithm	algorithm	NOUN
ajst-30378	64	7	to	to	PART
ajst-30378	64	8	sum	sum	VERB
ajst-30378	64	9	up	up	ADP
ajst-30378	64	10	,	,	PUNCT
ajst-30378	64	11	the	the	DET
ajst-30378	64	12	essence	essence	NOUN
ajst-30378	64	13	of	of	ADP
ajst-30378	64	14	the	the	DET
ajst-30378	64	15	whole	whole	ADJ
ajst-30378	64	16	process	process	NOUN
ajst-30378	64	17	is	be	AUX
ajst-30378	64	18	to	to	PART
ajst-30378	64	19	continuously	continuously	ADV
ajst-30378	64	20	iterate	iterate	VERB
ajst-30378	64	21	the	the	DET
ajst-30378	64	22	data	datum	NOUN
ajst-30378	64	23	until	until	ADP
ajst-30378	64	24	finding	find	VERB
ajst-30378	64	25	the	the	DET
ajst-30378	64	26	value	value	NOUN
ajst-30378	64	27	of	of	ADP
ajst-30378	64	28	the	the	DET
ajst-30378	64	29	smallest	small	ADJ
ajst-30378	64	30	error	error	NOUN
ajst-30378	64	31	and	and	CCONJ
ajst-30378	64	32	meet	meet	VERB
ajst-30378	64	33	the	the	DET
ajst-30378	64	34	requirements	requirement	NOUN
ajst-30378	64	35	.	.	PUNCT
ajst-30378	65	1	3	3	X
ajst-30378	65	2	.	.	X
ajst-30378	65	3	algorithm	algorithm	NOUN
ajst-30378	65	4	performance	performance	NOUN
ajst-30378	65	5	test	test	NOUN
ajst-30378	65	6	3.1	3.1	NUM
ajst-30378	65	7	.	.	PUNCT
ajst-30378	66	1	detection	detection	NOUN
ajst-30378	66	2	of	of	ADP
ajst-30378	66	3	the	the	DET
ajst-30378	66	4	bench	bench	NOUN
ajst-30378	66	5	-	-	PUNCT
ajst-30378	66	6	dragon	dragon	NOUN
ajst-30378	66	7	collision	collision	NOUN
ajst-30378	66	8	algorithm	algorithm	NOUN
ajst-30378	66	9	3.1.1	3.1.1	NUM
ajst-30378	66	10	.	.	PUNCT
ajst-30378	67	1	overview	overview	NOUN
ajst-30378	67	2	of	of	ADP
ajst-30378	67	3	the	the	DET
ajst-30378	67	4	sat	sit	VERB
ajst-30378	67	5	algorithm	algorithm	NOUN
ajst-30378	67	6	steps	step	VERB
ajst-30378	67	7	the	the	DET
ajst-30378	67	8	basic	basic	ADJ
ajst-30378	67	9	idea	idea	NOUN
ajst-30378	67	10	of	of	ADP
ajst-30378	67	11	the	the	DET
ajst-30378	67	12	sat	sit	VERB
ajst-30378	67	13	algorithm	algorithm	NOUN
ajst-30378	67	14	is	be	AUX
ajst-30378	67	15	to	to	PART
ajst-30378	67	16	examine	examine	VERB
ajst-30378	67	17	the	the	DET
ajst-30378	67	18	projections	projection	NOUN
ajst-30378	67	19	of	of	ADP
ajst-30378	67	20	two	two	NUM
ajst-30378	67	21	convex	convex	ADJ
ajst-30378	67	22	polygons	polygon	NOUN
ajst-30378	67	23	on	on	ADP
ajst-30378	67	24	a	a	DET
ajst-30378	67	25	series	series	NOUN
ajst-30378	67	26	of	of	ADP
ajst-30378	67	27	separation	separation	NOUN
ajst-30378	67	28	axes	axis	NOUN
ajst-30378	67	29	,	,	PUNCT
ajst-30378	67	30	determine	determine	VERB
ajst-30378	67	31	whether	whether	SCONJ
ajst-30378	67	32	the	the	DET
ajst-30378	67	33	projections	projection	NOUN
ajst-30378	67	34	overlap	overlap	VERB
ajst-30378	67	35	,	,	PUNCT
ajst-30378	67	36	and	and	CCONJ
ajst-30378	67	37	then	then	ADV
ajst-30378	67	38	infer	infer	VERB
ajst-30378	67	39	whether	whether	SCONJ
ajst-30378	67	40	they	they	PRON
ajst-30378	67	41	intersect	intersect	VERB
ajst-30378	67	42	.	.	PUNCT
ajst-30378	68	1	the	the	DET
ajst-30378	68	2	specific	specific	ADJ
ajst-30378	68	3	steps	step	NOUN
ajst-30378	68	4	are	be	AUX
ajst-30378	68	5	described	describe	VERB
ajst-30378	68	6	as	as	SCONJ
ajst-30378	68	7	follows	follow	VERB
ajst-30378	68	8	:	:	PUNCT
ajst-30378	68	9	the	the	DET
ajst-30378	68	10	basic	basic	ADJ
ajst-30378	68	11	idea	idea	NOUN
ajst-30378	68	12	of	of	ADP
ajst-30378	68	13	the	the	DET
ajst-30378	68	14	sat	sit	VERB
ajst-30378	68	15	algorithm	algorithm	NOUN
ajst-30378	68	16	is	be	AUX
ajst-30378	68	17	to	to	PART
ajst-30378	68	18	examine	examine	VERB
ajst-30378	68	19	the	the	DET
ajst-30378	68	20	projections	projection	NOUN
ajst-30378	68	21	of	of	ADP
ajst-30378	68	22	two	two	NUM
ajst-30378	68	23	convex	convex	ADJ
ajst-30378	68	24	polygons	polygon	NOUN
ajst-30378	68	25	on	on	ADP
ajst-30378	68	26	a	a	DET
ajst-30378	68	27	series	series	NOUN
ajst-30378	68	28	of	of	ADP
ajst-30378	68	29	separation	separation	NOUN
ajst-30378	68	30	axes	axis	NOUN
ajst-30378	68	31	,	,	PUNCT
ajst-30378	68	32	determine	determine	VERB
ajst-30378	68	33	whether	whether	SCONJ
ajst-30378	68	34	the	the	DET
ajst-30378	68	35	projections	projection	NOUN
ajst-30378	68	36	overlap	overlap	VERB
ajst-30378	68	37	,	,	PUNCT
ajst-30378	68	38	and	and	CCONJ
ajst-30378	68	39	then	then	ADV
ajst-30378	68	40	infer	infer	VERB
ajst-30378	68	41	whether	whether	SCONJ
ajst-30378	68	42	they	they	PRON
ajst-30378	68	43	intersect	intersect	VERB
ajst-30378	68	44	.	.	PUNCT
ajst-30378	69	1	the	the	DET
ajst-30378	69	2	specific	specific	ADJ
ajst-30378	69	3	steps	step	NOUN
ajst-30378	69	4	are	be	AUX
ajst-30378	69	5	described	describe	VERB
ajst-30378	69	6	as	as	SCONJ
ajst-30378	69	7	follows	follow	VERB
ajst-30378	69	8	:	:	PUNCT
ajst-30378	69	9	a.	a.	NOUN
ajst-30378	69	10	get	get	VERB
ajst-30378	69	11	the	the	DET
ajst-30378	69	12	edge	edge	NOUN
ajst-30378	69	13	normal	normal	ADJ
ajst-30378	69	14	vector	vector	NOUN
ajst-30378	69	15	:	:	PUNCT
ajst-30378	69	16	for	for	ADP
ajst-30378	69	17	each	each	DET
ajst-30378	69	18	polygon	polygon	NOUN
ajst-30378	69	19	,	,	PUNCT
ajst-30378	69	20	calculate	calculate	VERB
ajst-30378	69	21	the	the	DET
ajst-30378	69	22	normal	normal	ADJ
ajst-30378	69	23	vector	vector	NOUN
ajst-30378	69	24	of	of	ADP
ajst-30378	69	25	each	each	DET
ajst-30378	69	26	edge	edge	NOUN
ajst-30378	69	27	(	(	PUNCT
ajst-30378	69	28	the	the	DET
ajst-30378	69	29	unit	unit	NOUN
ajst-30378	69	30	vector	vector	NOUN
ajst-30378	69	31	perpendicular	perpendicular	NOUN
ajst-30378	69	32	to	to	ADP
ajst-30378	69	33	the	the	DET
ajst-30378	69	34	edge	edge	NOUN
ajst-30378	69	35	)	)	PUNCT
ajst-30378	69	36	.	.	PUNCT
ajst-30378	70	1	b.	b.	PROPN
ajst-30378	70	2	projection	projection	PROPN
ajst-30378	70	3	operation	operation	PROPN
ajst-30378	70	4	:	:	PUNCT
ajst-30378	70	5	project	project	VERB
ajst-30378	70	6	two	two	NUM
ajst-30378	70	7	polygons	polygon	NOUN
ajst-30378	70	8	onto	onto	ADP
ajst-30378	70	9	each	each	DET
ajst-30378	70	10	normal	normal	ADJ
ajst-30378	70	11	vector	vector	NOUN
ajst-30378	70	12	to	to	PART
ajst-30378	70	13	generate	generate	VERB
ajst-30378	70	14	one	one	NUM
ajst-30378	70	15	-	-	PUNCT
ajst-30378	70	16	dimensional	dimensional	ADJ
ajst-30378	70	17	line	line	NOUN
ajst-30378	70	18	segments	segment	NOUN
ajst-30378	70	19	(	(	PUNCT
ajst-30378	70	20	projection	projection	NOUN
ajst-30378	70	21	results	result	NOUN
ajst-30378	70	22	)	)	PUNCT
ajst-30378	70	23	.	.	PUNCT
ajst-30378	71	1	c.	c.	PROPN
ajst-30378	71	2	check	check	NOUN
ajst-30378	71	3	for	for	ADP
ajst-30378	71	4	overlap	overlap	NOUN
ajst-30378	71	5	:	:	PUNCT
ajst-30378	71	6	successively	successively	ADV
ajst-30378	71	7	check	check	VERB
ajst-30378	71	8	whether	whether	SCONJ
ajst-30378	71	9	the	the	DET
ajst-30378	71	10	projections	projection	NOUN
ajst-30378	71	11	of	of	ADP
ajst-30378	71	12	two	two	NUM
ajst-30378	71	13	polygons	polygon	NOUN
ajst-30378	71	14	on	on	ADP
ajst-30378	71	15	all	all	DET
ajst-30378	71	16	normal	normal	ADJ
ajst-30378	71	17	vectors	vector	NOUN
ajst-30378	71	18	overlap	overlap	VERB
ajst-30378	71	19	.	.	PUNCT
ajst-30378	72	1	if	if	SCONJ
ajst-30378	72	2	the	the	DET
ajst-30378	72	3	projections	projection	NOUN
ajst-30378	72	4	do	do	AUX
ajst-30378	72	5	not	not	PART
ajst-30378	72	6	overlap	overlap	VERB
ajst-30378	72	7	on	on	ADP
ajst-30378	72	8	either	either	DET
ajst-30378	72	9	separation	separation	NOUN
ajst-30378	72	10	axis	axis	NOUN
ajst-30378	72	11	,	,	PUNCT
ajst-30378	72	12	the	the	DET
ajst-30378	72	13	two	two	NUM
ajst-30378	72	14	polygons	polygon	NOUN
ajst-30378	72	15	do	do	AUX
ajst-30378	72	16	not	not	PART
ajst-30378	72	17	intersect	intersect	VERB
ajst-30378	72	18	in	in	ADP
ajst-30378	72	19	the	the	DET
ajst-30378	72	20	original	original	ADJ
ajst-30378	72	21	space	space	NOUN
ajst-30378	72	22	;	;	PUNCT
ajst-30378	72	23	if	if	SCONJ
ajst-30378	72	24	all	all	DET
ajst-30378	72	25	the	the	DET
ajst-30378	72	26	projections	projection	NOUN
ajst-30378	72	27	overlap	overlap	VERB
ajst-30378	72	28	,	,	PUNCT
ajst-30378	72	29	they	they	PRON
ajst-30378	72	30	intersect	intersect	VERB
ajst-30378	72	31	.	.	PUNCT
ajst-30378	73	1	in	in	ADP
ajst-30378	73	2	conclusion	conclusion	NOUN
ajst-30378	73	3	,	,	PUNCT
ajst-30378	73	4	the	the	DET
ajst-30378	73	5	sat	sit	VERB
ajst-30378	73	6	algorithm	algorithm	NOUN
ajst-30378	73	7	determines	determine	VERB
ajst-30378	73	8	whether	whether	SCONJ
ajst-30378	73	9	two	two	NUM
ajst-30378	73	10	convex	convex	ADJ
ajst-30378	73	11	polygons	polygon	NOUN
ajst-30378	73	12	intersect	intersect	ADJ
ajst-30378	73	13	by	by	ADP
ajst-30378	73	14	finding	find	VERB
ajst-30378	73	15	the	the	DET
ajst-30378	73	16	separation	separation	NOUN
ajst-30378	73	17	axes	axis	NOUN
ajst-30378	73	18	.	.	PUNCT
ajst-30378	74	1	so	so	ADV
ajst-30378	74	2	long	long	ADV
ajst-30378	74	3	as	as	ADP
ajst-30378	74	4	finding	find	VERB
ajst-30378	74	5	a	a	DET
ajst-30378	74	6	separation	separation	NOUN
ajst-30378	74	7	axis	axis	NOUN
ajst-30378	74	8	such	such	ADJ
ajst-30378	74	9	that	that	SCONJ
ajst-30378	74	10	the	the	DET
ajst-30378	74	11	projections	projection	NOUN
ajst-30378	74	12	do	do	AUX
ajst-30378	74	13	not	not	PART
ajst-30378	74	14	overlap	overlap	VERB
ajst-30378	74	15	,	,	PUNCT
ajst-30378	74	16	it	it	PRON
ajst-30378	74	17	is	be	AUX
ajst-30378	74	18	determined	determined	ADJ
ajst-30378	74	19	that	that	SCONJ
ajst-30378	74	20	they	they	PRON
ajst-30378	74	21	do	do	AUX
ajst-30378	74	22	not	not	PART
ajst-30378	74	23	overlap	overlap	VERB
ajst-30378	74	24	.	.	PUNCT
ajst-30378	75	1	3.1.2	3.1.2	X
ajst-30378	75	2	.	.	NOUN
ajst-30378	75	3	bench	bench	PROPN
ajst-30378	75	4	dragon	dragon	PROPN
ajst-30378	75	5	collision	collision	PROPN
ajst-30378	75	6	prediction	prediction	NOUN
ajst-30378	75	7	first	first	ADV
ajst-30378	75	8	,	,	PUNCT
ajst-30378	75	9	establish	establish	VERB
ajst-30378	75	10	the	the	DET
ajst-30378	75	11	coordinate	coordinate	NOUN
ajst-30378	75	12	equation	equation	NOUN
ajst-30378	75	13	of	of	ADP
ajst-30378	75	14	each	each	DET
ajst-30378	75	15	handle	handle	NOUN
ajst-30378	75	16	of	of	ADP
ajst-30378	75	17	the	the	DET
ajst-30378	75	18	"	"	PUNCT
ajst-30378	75	19	bench	bench	NOUN
ajst-30378	75	20	dragon	dragon	NOUN
ajst-30378	75	21	"	"	PUNCT
ajst-30378	75	22	,	,	PUNCT
ajst-30378	75	23	and	and	CCONJ
ajst-30378	75	24	the	the	DET
ajst-30378	75	25	direction	direction	NOUN
ajst-30378	75	26	vector	vector	NOUN
ajst-30378	75	27	of	of	ADP
ajst-30378	75	28	a	a	DET
ajst-30378	75	29	single	single	ADJ
ajst-30378	75	30	bench	bench	NOUN
ajst-30378	75	31	is	be	AUX
ajst-30378	75	32	calculated	calculate	VERB
ajst-30378	75	33	according	accord	VERB
ajst-30378	75	34	to	to	ADP
ajst-30378	75	35	the	the	DET
ajst-30378	75	36	coordinates	coordinate	NOUN
ajst-30378	75	37	of	of	ADP
ajst-30378	75	38	the	the	DET
ajst-30378	75	39	front	front	ADJ
ajst-30378	75	40	and	and	CCONJ
ajst-30378	75	41	back	back	ADJ
ajst-30378	75	42	handles	handle	NOUN
ajst-30378	75	43	,	,	PUNCT
ajst-30378	75	44	thus	thus	ADV
ajst-30378	75	45	establishing	establish	VERB
ajst-30378	75	46	the	the	DET
ajst-30378	75	47	direction	direction	NOUN
ajst-30378	75	48	angle	angle	NOUN
ajst-30378	75	49	β	β	X
ajst-30378	75	50	.	.	PUNCT
ajst-30378	76	1	secondly	secondly	ADV
ajst-30378	76	2	,	,	PUNCT
ajst-30378	76	3	take	take	VERB
ajst-30378	76	4	the	the	DET
ajst-30378	76	5	midpoint	midpoint	NOUN
ajst-30378	76	6	of	of	ADP
ajst-30378	76	7	the	the	DET
ajst-30378	76	8	connection	connection	NOUN
ajst-30378	76	9	between	between	ADP
ajst-30378	76	10	the	the	DET
ajst-30378	76	11	front	front	ADJ
ajst-30378	76	12	and	and	CCONJ
ajst-30378	76	13	back	back	ADJ
ajst-30378	76	14	handles	handle	NOUN
ajst-30378	76	15	of	of	ADP
ajst-30378	76	16	the	the	DET
ajst-30378	76	17	bench	bench	NOUN
ajst-30378	76	18	dragon	dragon	NOUN
ajst-30378	76	19	,	,	PUNCT
ajst-30378	76	20	which	which	PRON
ajst-30378	76	21	is	be	AUX
ajst-30378	76	22	the	the	DET
ajst-30378	76	23	twodimensional	twodimensional	ADJ
ajst-30378	76	24	geometric	geometric	ADJ
ajst-30378	76	25	center	center	NOUN
ajst-30378	76	26	of	of	ADP
ajst-30378	76	27	the	the	DET
ajst-30378	76	28	bench	bench	NOUN
ajst-30378	76	29	.	.	PUNCT
ajst-30378	77	1	finally	finally	ADV
ajst-30378	77	2	,	,	PUNCT
ajst-30378	77	3	the	the	DET
ajst-30378	77	4	76	76	NUM
ajst-30378	77	5	position	position	NOUN
ajst-30378	77	6	equation	equation	NOUN
ajst-30378	77	7	of	of	ADP
ajst-30378	77	8	the	the	DET
ajst-30378	77	9	four	four	NUM
ajst-30378	77	10	endpoints	endpoint	NOUN
ajst-30378	77	11	of	of	ADP
ajst-30378	77	12	the	the	DET
ajst-30378	77	13	bench	bench	NOUN
ajst-30378	77	14	is	be	AUX
ajst-30378	77	15	found	find	VERB
ajst-30378	77	16	by	by	ADP
ajst-30378	77	17	the	the	DET
ajst-30378	77	18	function	function	NOUN
ajst-30378	77	19	of	of	ADP
ajst-30378	77	20	the	the	DET
ajst-30378	77	21	midpoint	midpoint	NOUN
ajst-30378	77	22	coordinate	coordinate	NOUN
ajst-30378	77	23	and	and	CCONJ
ajst-30378	77	24	the	the	DET
ajst-30378	77	25	orientation	orientation	NOUN
ajst-30378	77	26	angle	angle	NOUN
ajst-30378	77	27	β	β	NOUN
ajst-30378	77	28	.	.	PUNCT
ajst-30378	77	29	3.1.2.1	3.1.2.1	NUM
ajst-30378	77	30	establish	establish	VERB
ajst-30378	77	31	the	the	DET
ajst-30378	77	32	bench	bench	NOUN
ajst-30378	77	33	handle	handle	NOUN
ajst-30378	77	34	track	track	NOUN
ajst-30378	77	35	coordinates	coordinate	NOUN
ajst-30378	77	36	and	and	CCONJ
ajst-30378	77	37	the	the	DET
ajst-30378	77	38	bench	bench	NOUN
ajst-30378	77	39	end	end	NOUN
ajst-30378	77	40	point	point	NOUN
ajst-30378	77	41	track	track	NOUN
ajst-30378	77	42	position	position	NOUN
ajst-30378	77	43	coordinates	coordinate	NOUN
ajst-30378	77	44	the	the	DET
ajst-30378	77	45	time	time	NOUN
ajst-30378	77	46	step	step	NOUN
ajst-30378	77	47	was	be	AUX
ajst-30378	77	48	taken	take	VERB
ajst-30378	77	49	as	as	ADP
ajst-30378	77	50	1s	1s	NUM
ajst-30378	77	51	,	,	PUNCT
ajst-30378	77	52	calculating	calculate	VERB
ajst-30378	77	53	the	the	DET
ajst-30378	77	54	movement	movement	NOUN
ajst-30378	77	55	trajectory	trajectory	NOUN
ajst-30378	77	56	of	of	ADP
ajst-30378	77	57	the	the	DET
ajst-30378	77	58	"	"	PUNCT
ajst-30378	77	59	bench	bench	NOUN
ajst-30378	77	60	dragon	dragon	NOUN
ajst-30378	77	61	"	"	PUNCT
ajst-30378	77	62	beginning	begin	VERB
ajst-30378	77	63	at	at	ADP
ajst-30378	77	64	301s	301s	PROPN
ajst-30378	77	65	.	.	PUNCT
ajst-30378	78	1	first	first	ADV
ajst-30378	78	2	,	,	PUNCT
ajst-30378	78	3	indicate	indicate	VERB
ajst-30378	78	4	the	the	DET
ajst-30378	78	5	movement	movement	NOUN
ajst-30378	78	6	direction	direction	NOUN
ajst-30378	78	7	of	of	ADP
ajst-30378	78	8	the	the	DET
ajst-30378	78	9	bench	bench	NOUN
ajst-30378	78	10	,	,	PUNCT
ajst-30378	78	11	connect	connect	VERB
ajst-30378	78	12	the	the	DET
ajst-30378	78	13	front	front	ADJ
ajst-30378	78	14	and	and	CCONJ
ajst-30378	78	15	rear	rear	ADJ
ajst-30378	78	16	handles	handle	NOUN
ajst-30378	78	17	of	of	ADP
ajst-30378	78	18	the	the	DET
ajst-30378	78	19	bench	bench	NOUN
ajst-30378	78	20	,	,	PUNCT
ajst-30378	78	21	and	and	CCONJ
ajst-30378	78	22	calculate	calculate	VERB
ajst-30378	78	23	the	the	DET
ajst-30378	78	24	direction	direction	NOUN
ajst-30378	78	25	vector	vector	NOUN
ajst-30378	78	26	of	of	ADP
ajst-30378	78	27	each	each	DET
ajst-30378	78	28	bench	bench	NOUN
ajst-30378	78	29	.	.	PUNCT
ajst-30378	79	1	thus	thus	ADV
ajst-30378	79	2	,	,	PUNCT
ajst-30378	79	3	the	the	DET
ajst-30378	79	4	direction	direction	NOUN
ajst-30378	79	5	angle	angle	NOUN
ajst-30378	79	6	β	β	X
ajst-30378	79	7	is	be	AUX
ajst-30378	79	8	represented	represent	VERB
ajst-30378	79	9	according	accord	VERB
ajst-30378	79	10	to	to	ADP
ajst-30378	79	11	the	the	DET
ajst-30378	79	12	direction	direction	NOUN
ajst-30378	79	13	vector	vector	NOUN
ajst-30378	79	14	.	.	PUNCT
ajst-30378	80	1	then	then	ADV
ajst-30378	80	2	,	,	PUNCT
ajst-30378	80	3	the	the	DET
ajst-30378	80	4	relationship	relationship	NOUN
ajst-30378	80	5	between	between	ADP
ajst-30378	80	6	the	the	DET
ajst-30378	80	7	midpoint	midpoint	NOUN
ajst-30378	80	8	coordinate	coordinate	NOUN
ajst-30378	80	9	and	and	CCONJ
ajst-30378	80	10	the	the	DET
ajst-30378	80	11	direction	direction	NOUN
ajst-30378	80	12	angle	angle	NOUN
ajst-30378	80	13	β	β	X
ajst-30378	80	14	is	be	AUX
ajst-30378	80	15	calculated	calculate	VERB
ajst-30378	80	16	through	through	ADP
ajst-30378	80	17	the	the	DET
ajst-30378	80	18	midpoint	midpoint	NOUN
ajst-30378	80	19	coordinate	coordinate	NOUN
ajst-30378	80	20	x	x	INTJ
ajst-30378	80	21	,	,	PUNCT
ajst-30378	80	22	y	y	PROPN
ajst-30378	80	23	of	of	ADP
ajst-30378	80	24	the	the	DET
ajst-30378	80	25	front	front	ADJ
ajst-30378	80	26	handle	handle	NOUN
ajst-30378	80	27	and	and	CCONJ
ajst-30378	80	28	the	the	DET
ajst-30378	80	29	back	back	ADJ
ajst-30378	80	30	handle	handle	NOUN
ajst-30378	80	31	of	of	ADP
ajst-30378	80	32	the	the	DET
ajst-30378	80	33	bench	bench	NOUN
ajst-30378	80	34	.	.	PUNCT
ajst-30378	81	1	taking	take	VERB
ajst-30378	81	2	the	the	DET
ajst-30378	81	3	movement	movement	NOUN
ajst-30378	81	4	direction	direction	NOUN
ajst-30378	81	5	of	of	ADP
ajst-30378	81	6	the	the	DET
ajst-30378	81	7	head	head	NOUN
ajst-30378	81	8	of	of	ADP
ajst-30378	81	9	the	the	DET
ajst-30378	81	10	dragon	dragon	NOUN
ajst-30378	81	11	as	as	ADP
ajst-30378	81	12	the	the	DET
ajst-30378	81	13	positive	positive	ADJ
ajst-30378	81	14	direction	direction	NOUN
ajst-30378	81	15	of	of	ADP
ajst-30378	81	16	the	the	DET
ajst-30378	81	17	vector	vector	NOUN
ajst-30378	81	18	,	,	PUNCT
ajst-30378	81	19	which	which	PRON
ajst-30378	81	20	is	be	AUX
ajst-30378	81	21	as	as	SCONJ
ajst-30378	81	22	follows	follow	VERB
ajst-30378	81	23	:	:	PUNCT
ajst-30378	81	24	upper	upper	ADJ
ajst-30378	81	25	left	left	NOUN
ajst-30378	81	26	end	end	NOUN
ajst-30378	81	27	point	point	NOUN
ajst-30378	81	28	of	of	ADP
ajst-30378	81	29	the	the	DET
ajst-30378	81	30	head	head	NOUN
ajst-30378	81	31	of	of	ADP
ajst-30378	81	32	the	the	DET
ajst-30378	81	33	dragon	dragon	NOUN
ajst-30378	81	34	:	:	PUNCT
ajst-30378	81	35	𝒙𝒂	𝒙𝒂	ADP
ajst-30378	81	36	𝒙𝟎	𝒙𝟎	PROPN
ajst-30378	81	37	𝑳𝟎𝒄𝒐𝒔𝜷	𝑳𝟎𝒄𝒐𝒔𝜷	VERB
ajst-30378	81	38	𝒅𝟎𝒔𝒊𝒏𝜷	𝒅𝟎𝒔𝒊𝒏𝜷	NOUN
ajst-30378	81	39	𝒚𝒂	𝒚𝒂	ADP
ajst-30378	81	40	𝒚𝟎	𝒚𝟎	NOUN
ajst-30378	81	41	𝑳𝟎𝒔𝒊𝒏𝜷	𝑳𝟎𝒔𝒊𝒏𝜷	VERB
ajst-30378	81	42	𝒅𝟎𝒄𝒐𝒔𝜷	𝒅𝟎𝒄𝒐𝒔𝜷	ADJ
ajst-30378	81	43	(	(	PUNCT
ajst-30378	81	44	1	1	NUM
ajst-30378	81	45	)	)	PUNCT
ajst-30378	81	46	upper	upper	ADJ
ajst-30378	81	47	right	right	ADJ
ajst-30378	81	48	end	end	NOUN
ajst-30378	81	49	point	point	NOUN
ajst-30378	81	50	of	of	ADP
ajst-30378	81	51	the	the	DET
ajst-30378	81	52	head	head	NOUN
ajst-30378	81	53	of	of	ADP
ajst-30378	81	54	the	the	DET
ajst-30378	81	55	dragon	dragon	NOUN
ajst-30378	81	56	:	:	PUNCT
ajst-30378	81	57	𝒙𝒃	𝒙𝒃	AUX
ajst-30378	81	58	𝒙𝟎	𝒙𝟎	VERB
ajst-30378	81	59	𝑳𝟎𝒄𝒐𝒔𝜷	𝑳𝟎𝒄𝒐𝒔𝜷	VERB
ajst-30378	81	60	𝒅𝟎𝒔𝒊𝒏𝜷	𝒅𝟎𝒔𝒊𝒏𝜷	NOUN
ajst-30378	81	61	𝒚𝒃	𝒚𝒃	ADV
ajst-30378	81	62	𝒚𝟎	𝒚𝟎	NOUN
ajst-30378	81	63	𝑳𝟎𝒔𝒊𝒏𝜷	𝑳𝟎𝒔𝒊𝒏𝜷	VERB
ajst-30378	81	64	𝒅𝟎𝒄𝒐𝒔𝜷	𝒅𝟎𝒄𝒐𝒔𝜷	ADJ
ajst-30378	81	65	(	(	PUNCT
ajst-30378	81	66	1	1	NUM
ajst-30378	81	67	)	)	PUNCT
ajst-30378	81	68	lower	low	ADJ
ajst-30378	81	69	left	left	ADJ
ajst-30378	81	70	end	end	NOUN
ajst-30378	81	71	point	point	NOUN
ajst-30378	81	72	of	of	ADP
ajst-30378	81	73	the	the	DET
ajst-30378	81	74	head	head	NOUN
ajst-30378	81	75	of	of	ADP
ajst-30378	81	76	the	the	DET
ajst-30378	81	77	dragon	dragon	NOUN
ajst-30378	81	78	:	:	PUNCT
ajst-30378	81	79	𝒙𝒄	𝒙𝒄	NOUN
ajst-30378	81	80	𝒙𝟎	𝒙𝟎	ADJ
ajst-30378	81	81	𝑳𝟎𝒄𝒐𝒔𝜷	𝑳𝟎𝒄𝒐𝒔𝜷	VERB
ajst-30378	81	82	𝒅𝟎𝒔𝒊𝒏𝜷	𝒅𝟎𝒔𝒊𝒏𝜷	NOUN
ajst-30378	82	1	𝒚𝒄	𝒚𝒄	DET
ajst-30378	82	2	𝒚𝟎	𝒚𝟎	NOUN
ajst-30378	82	3	𝑳𝟎𝒔𝒊𝒏𝜷	𝑳𝟎𝒔𝒊𝒏𝜷	VERB
ajst-30378	82	4	𝒅𝟎𝒄𝒐𝒔𝜷	𝒅𝟎𝒄𝒐𝒔𝜷	ADJ
ajst-30378	82	5	(	(	PUNCT
ajst-30378	82	6	3	3	NUM
ajst-30378	82	7	)	)	PUNCT
ajst-30378	82	8	lower	low	ADJ
ajst-30378	82	9	right	right	ADJ
ajst-30378	82	10	end	end	NOUN
ajst-30378	82	11	point	point	NOUN
ajst-30378	82	12	of	of	ADP
ajst-30378	82	13	the	the	DET
ajst-30378	82	14	head	head	NOUN
ajst-30378	82	15	of	of	ADP
ajst-30378	82	16	the	the	DET
ajst-30378	82	17	dragon	dragon	NOUN
ajst-30378	82	18	:	:	PUNCT
ajst-30378	82	19	𝒙𝒅	𝒙𝒅	ADP
ajst-30378	82	20	𝒙𝟎	𝒙𝟎	PROPN
ajst-30378	82	21	𝑳𝟎𝒄𝒐𝒔𝜷	𝑳𝟎𝒄𝒐𝒔𝜷	VERB
ajst-30378	83	1	𝒅𝟎𝒔𝒊𝒏𝜷	𝒅𝟎𝒔𝒊𝒏𝜷	PROPN
ajst-30378	83	2	𝒚𝒅	𝒚𝒅	PROPN
ajst-30378	83	3	𝒚𝟎	𝒚𝟎	PROPN
ajst-30378	83	4	𝑳𝟎𝒔𝒊𝒏𝜷	𝑳𝟎𝒔𝒊𝒏𝜷	VERB
ajst-30378	83	5	𝒅𝟎𝒄𝒐𝒔𝜷	𝒅𝟎𝒄𝒐𝒔𝜷	ADJ
ajst-30378	83	6	(	(	PUNCT
ajst-30378	83	7	4	4	NUM
ajst-30378	83	8	)	)	PUNCT
ajst-30378	83	9	where	where	SCONJ
ajst-30378	83	10	x	x	X
ajst-30378	83	11	,	,	PUNCT
ajst-30378	83	12	,	,	PUNCT
ajst-30378	83	13	,	,	PUNCT
ajst-30378	83	14	represent	represent	VERB
ajst-30378	83	15	the	the	DET
ajst-30378	83	16	abscissa	abscissa	NOUN
ajst-30378	83	17	of	of	ADP
ajst-30378	83	18	the	the	DET
ajst-30378	83	19	four	four	NUM
ajst-30378	83	20	vertices	vertex	NOUN
ajst-30378	83	21	of	of	ADP
ajst-30378	83	22	the	the	DET
ajst-30378	83	23	bench	bench	NOUN
ajst-30378	83	24	,	,	PUNCT
ajst-30378	83	25	y	y	PROPN
ajst-30378	83	26	,	,	PUNCT
ajst-30378	83	27	,	,	PUNCT
ajst-30378	83	28	,	,	PUNCT
ajst-30378	83	29	indicates	indicate	VERB
ajst-30378	83	30	the	the	DET
ajst-30378	83	31	ordinate	ordinate	NOUN
ajst-30378	83	32	of	of	ADP
ajst-30378	83	33	the	the	DET
ajst-30378	83	34	four	four	NUM
ajst-30378	83	35	vertices	vertex	NOUN
ajst-30378	83	36	of	of	ADP
ajst-30378	83	37	the	the	DET
ajst-30378	83	38	bench	bench	NOUN
ajst-30378	83	39	,	,	PUNCT
ajst-30378	83	40	x	x	X
ajst-30378	83	41	，	，	PROPN
ajst-30378	83	42	y	y	PROPN
ajst-30378	83	43	shows	show	VERB
ajst-30378	83	44	the	the	DET
ajst-30378	83	45	geometrical	geometrical	ADJ
ajst-30378	83	46	center	center	NOUN
ajst-30378	83	47	of	of	ADP
ajst-30378	83	48	the	the	DET
ajst-30378	83	49	bench	bench	NOUN
ajst-30378	83	50	,	,	PUNCT
ajst-30378	83	51	l	l	NOUN
ajst-30378	83	52	express	express	VERB
ajst-30378	83	53	the	the	DET
ajst-30378	83	54	half	half	DET
ajst-30378	83	55	the	the	DET
ajst-30378	83	56	length	length	NOUN
ajst-30378	83	57	,	,	PUNCT
ajst-30378	83	58	d	d	NOUN
ajst-30378	83	59	says	say	VERB
ajst-30378	83	60	half	half	DET
ajst-30378	83	61	the	the	DET
ajst-30378	83	62	width	width	NOUN
ajst-30378	83	63	,	,	PUNCT
ajst-30378	83	64	and	and	CCONJ
ajst-30378	83	65	β	β	X
ajst-30378	83	66	the	the	DET
ajst-30378	83	67	orientation	orientation	NOUN
ajst-30378	83	68	angle	angle	NOUN
ajst-30378	83	69	.	.	PUNCT
ajst-30378	84	1	in	in	ADP
ajst-30378	84	2	the	the	DET
ajst-30378	84	3	process	process	NOUN
ajst-30378	84	4	of	of	ADP
ajst-30378	84	5	solving	solving	NOUN
ajst-30378	84	6	,	,	PUNCT
ajst-30378	84	7	making	make	VERB
ajst-30378	84	8	use	use	NOUN
ajst-30378	84	9	of	of	ADP
ajst-30378	84	10	the	the	DET
ajst-30378	84	11	relationship	relationship	NOUN
ajst-30378	84	12	between	between	ADP
ajst-30378	84	13	the	the	DET
ajst-30378	84	14	geometric	geometric	ADJ
ajst-30378	84	15	center	center	NOUN
ajst-30378	84	16	and	and	CCONJ
ajst-30378	84	17	β	β	X
ajst-30378	84	18	angle	angle	NOUN
ajst-30378	84	19	establishes	establish	VERB
ajst-30378	84	20	the	the	DET
ajst-30378	84	21	four	four	NUM
ajst-30378	84	22	endpoint	endpoint	NOUN
ajst-30378	84	23	movement	movement	NOUN
ajst-30378	84	24	models	model	NOUN
ajst-30378	84	25	of	of	ADP
ajst-30378	84	26	the	the	DET
ajst-30378	84	27	bench	bench	NOUN
ajst-30378	84	28	dragon	dragon	NOUN
ajst-30378	84	29	.	.	PUNCT
ajst-30378	85	1	3.1.2.2	3.1.2.2	NUM
ajst-30378	85	2	crash	crash	NOUN
ajst-30378	85	3	detection	detection	NOUN
ajst-30378	85	4	determine	determine	VERB
ajst-30378	85	5	the	the	DET
ajst-30378	85	6	range	range	NOUN
ajst-30378	85	7	of	of	ADP
ajst-30378	85	8	benches	bench	NOUN
ajst-30378	85	9	to	to	PART
ajst-30378	85	10	check	check	VERB
ajst-30378	85	11	.	.	PUNCT
ajst-30378	86	1	because	because	SCONJ
ajst-30378	86	2	the	the	DET
ajst-30378	86	3	dragon	dragon	NOUN
ajst-30378	86	4	dance	dance	NOUN
ajst-30378	86	5	team	team	NOUN
ajst-30378	86	6	is	be	AUX
ajst-30378	86	7	spiral	spiral	ADJ
ajst-30378	86	8	,	,	PUNCT
ajst-30378	86	9	it	it	PRON
ajst-30378	86	10	is	be	AUX
ajst-30378	86	11	speculated	speculate	VERB
ajst-30378	86	12	that	that	SCONJ
ajst-30378	86	13	the	the	DET
ajst-30378	86	14	collision	collision	NOUN
ajst-30378	86	15	occurred	occur	VERB
ajst-30378	86	16	at	at	ADP
ajst-30378	86	17	the	the	DET
ajst-30378	86	18	position	position	NOUN
ajst-30378	86	19	where	where	SCONJ
ajst-30378	86	20	the	the	DET
ajst-30378	86	21	dragon	dragon	NOUN
ajst-30378	86	22	head	head	NOUN
ajst-30378	86	23	and	and	CCONJ
ajst-30378	86	24	the	the	DET
ajst-30378	86	25	dragon	dragon	NOUN
ajst-30378	86	26	body	body	NOUN
ajst-30378	86	27	overlapped	overlap	VERB
ajst-30378	86	28	,	,	PUNCT
ajst-30378	86	29	and	and	CCONJ
ajst-30378	86	30	it	it	PRON
ajst-30378	86	31	was	be	AUX
ajst-30378	86	32	detected	detect	VERB
ajst-30378	86	33	.	.	PUNCT
ajst-30378	87	1	for	for	ADP
ajst-30378	87	2	each	each	DET
ajst-30378	87	3	bench	bench	NOUN
ajst-30378	87	4	in	in	ADP
ajst-30378	87	5	the	the	DET
ajst-30378	87	6	range	range	NOUN
ajst-30378	87	7	,	,	PUNCT
ajst-30378	87	8	use	use	VERB
ajst-30378	87	9	the	the	DET
ajst-30378	87	10	separation	separation	NOUN
ajst-30378	87	11	axis	axis	NOUN
ajst-30378	87	12	to	to	PART
ajst-30378	87	13	approximate	approximate	VERB
ajst-30378	87	14	the	the	DET
ajst-30378	87	15	two	two	NUM
ajst-30378	87	16	benches	bench	NOUN
ajst-30378	87	17	as	as	ADP
ajst-30378	87	18	line	line	NOUN
ajst-30378	87	19	segments	segment	NOUN
ajst-30378	87	20	and	and	CCONJ
ajst-30378	87	21	then	then	ADV
ajst-30378	87	22	check	check	VERB
ajst-30378	87	23	whether	whether	SCONJ
ajst-30378	87	24	the	the	DET
ajst-30378	87	25	two	two	NUM
ajst-30378	87	26	-	-	PUNCT
ajst-30378	87	27	line	line	NOUN
ajst-30378	87	28	segments	segment	NOUN
ajst-30378	87	29	intersect	intersect	ADJ
ajst-30378	87	30	.	.	PUNCT
ajst-30378	88	1	if	if	SCONJ
ajst-30378	88	2	any	any	DET
ajst-30378	88	3	collision	collision	NOUN
ajst-30378	88	4	is	be	AUX
ajst-30378	88	5	detected	detect	VERB
ajst-30378	88	6	,	,	PUNCT
ajst-30378	88	7	stop	stop	VERB
ajst-30378	88	8	the	the	DET
ajst-30378	88	9	time	time	NOUN
ajst-30378	88	10	and	and	CCONJ
ajst-30378	88	11	jump	jump	VERB
ajst-30378	88	12	out	out	ADP
ajst-30378	88	13	of	of	ADP
ajst-30378	88	14	the	the	DET
ajst-30378	88	15	loop	loop	NOUN
ajst-30378	88	16	.	.	PUNCT
ajst-30378	89	1	this	this	PRON
ajst-30378	89	2	means	mean	VERB
ajst-30378	89	3	that	that	SCONJ
ajst-30378	89	4	the	the	DET
ajst-30378	89	5	end	end	NOUN
ajst-30378	89	6	of	of	ADP
ajst-30378	89	7	the	the	DET
ajst-30378	89	8	drive	drive	NOUN
ajst-30378	89	9	-	-	PUNCT
ajst-30378	89	10	in	in	ADP
ajst-30378	89	11	moment	moment	NOUN
ajst-30378	89	12	has	have	AUX
ajst-30378	89	13	been	be	AUX
ajst-30378	89	14	found	find	VERB
ajst-30378	89	15	.	.	PUNCT
ajst-30378	90	1	table	table	NOUN
ajst-30378	90	2	1	1	NUM
ajst-30378	90	3	details	detail	NOUN
ajst-30378	90	4	the	the	DET
ajst-30378	90	5	position	position	NOUN
ajst-30378	90	6	and	and	CCONJ
ajst-30378	90	7	speed	speed	NOUN
ajst-30378	90	8	of	of	ADP
ajst-30378	90	9	the	the	DET
ajst-30378	90	10	collision	collision	NOUN
ajst-30378	90	11	.	.	PUNCT
ajst-30378	91	1	these	these	DET
ajst-30378	91	2	data	datum	NOUN
ajst-30378	91	3	are	be	AUX
ajst-30378	91	4	helpful	helpful	ADJ
ajst-30378	91	5	to	to	PART
ajst-30378	91	6	analyze	analyze	VERB
ajst-30378	91	7	the	the	DET
ajst-30378	91	8	movement	movement	NOUN
ajst-30378	91	9	trajectory	trajectory	NOUN
ajst-30378	91	10	and	and	CCONJ
ajst-30378	91	11	identify	identify	VERB
ajst-30378	91	12	potential	potential	ADJ
ajst-30378	91	13	collision	collision	NOUN
ajst-30378	91	14	risk	risk	NOUN
ajst-30378	91	15	points	point	NOUN
ajst-30378	91	16	,	,	PUNCT
ajst-30378	91	17	thus	thus	ADV
ajst-30378	91	18	optimizing	optimize	VERB
ajst-30378	91	19	the	the	DET
ajst-30378	91	20	overall	overall	ADJ
ajst-30378	91	21	performance	performance	NOUN
ajst-30378	91	22	.	.	PUNCT
ajst-30378	92	1	table	table	NOUN
ajst-30378	92	2	1	1	NUM
ajst-30378	92	3	.	.	PUNCT
ajst-30378	93	1	the	the	DET
ajst-30378	93	2	coordinates	coordinate	NOUN
ajst-30378	93	3	and	and	CCONJ
ajst-30378	93	4	velocity	velocity	NOUN
ajst-30378	93	5	of	of	ADP
ajst-30378	93	6	each	each	DET
ajst-30378	93	7	point	point	NOUN
ajst-30378	93	8	of	of	ADP
ajst-30378	93	9	the	the	DET
ajst-30378	93	10	bench	bench	NOUN
ajst-30378	93	11	dragon	dragon	NOUN
ajst-30378	93	12	before	before	ADP
ajst-30378	93	13	the	the	DET
ajst-30378	93	14	collision	collision	NOUN
ajst-30378	93	15	x(m	x(m	PROPN
ajst-30378	93	16	)	)	PUNCT
ajst-30378	93	17	y(m	y(m	ADV
ajst-30378	93	18	)	)	PUNCT
ajst-30378	93	19	v(m	v(m	PROPN
ajst-30378	93	20	/	/	SYM
ajst-30378	93	21	s	s	NOUN
ajst-30378	93	22	)	)	PUNCT
ajst-30378	93	23	dh	dh	NOUN
ajst-30378	93	24	(	(	PUNCT
ajst-30378	93	25	fore	fore	NOUN
ajst-30378	93	26	)	)	PUNCT
ajst-30378	93	27	0.785301	0.785301	NUM
ajst-30378	94	1	2.169331	2.169331	NUM
ajst-30378	94	2	0.991947	0.991947	NUM
ajst-30378	94	3	db	db	PROPN
ajst-30378	94	4	(	(	PUNCT
ajst-30378	94	5	1	1	NUM
ajst-30378	94	6	)	)	PUNCT
ajst-30378	94	7	-1.9701	-1.9701	NOUN
ajst-30378	94	8	1.406632	1.406632	NUM
ajst-30378	94	9	0.984423	0.984423	NUM
ajst-30378	94	10	db	db	PROPN
ajst-30378	94	11	(	(	PUNCT
ajst-30378	94	12	51	51	NUM
ajst-30378	94	13	)	)	PUNCT
ajst-30378	94	14	0.875947	0.875947	NUM
ajst-30378	94	15	4.43475	4.43475	NUM
ajst-30378	94	16	0.974993	0.974993	NUM
ajst-30378	94	17	db	db	PROPN
ajst-30378	94	18	(	(	PUNCT
ajst-30378	94	19	101	101	NUM
ajst-30378	94	20	)	)	PUNCT
ajst-30378	94	21	-0.16801	-0.16801	PROPN
ajst-30378	94	22	-5.90762	-5.90762	NOUN
ajst-30378	95	1	0.973263	0.973263	NUM
ajst-30378	95	2	db	db	PROPN
ajst-30378	95	3	(	(	PUNCT
ajst-30378	95	4	151	151	NUM
ajst-30378	95	5	)	)	PUNCT
ajst-30378	95	6	1.285545	1.285545	NUM
ajst-30378	95	7	-6.91004	-6.91004	NOUN
ajst-30378	95	8	0.972628	0.972628	NUM
ajst-30378	95	9	db	db	PROPN
ajst-30378	95	10	(	(	PUNCT
ajst-30378	95	11	201	201	NUM
ajst-30378	95	12	)	)	PUNCT
ajst-30378	95	13	-7.84967	-7.84967	NOUN
ajst-30378	95	14	-1.49901	-1.49901	NOUN
ajst-30378	96	1	0.972663	0.972663	NUM
ajst-30378	96	2	dt	dt	NUM
ajst-30378	96	3	0.707409	0.707409	NUM
ajst-30378	96	4	8.35019	8.35019	NUM
ajst-30378	96	5	0.972442	0.972442	NUM
ajst-30378	96	6	here	here	ADV
ajst-30378	96	7	,	,	PUNCT
ajst-30378	96	8	dh	dh	PROPN
ajst-30378	96	9	and	and	CCONJ
ajst-30378	96	10	dt	dt	NOUN
ajst-30378	96	11	are	be	AUX
ajst-30378	96	12	used	use	VERB
ajst-30378	96	13	respectively	respectively	ADV
ajst-30378	96	14	to	to	PART
ajst-30378	96	15	replace	replace	VERB
ajst-30378	96	16	the	the	DET
ajst-30378	96	17	dragon	dragon	NOUN
ajst-30378	96	18	head	head	NOUN
ajst-30378	96	19	and	and	CCONJ
ajst-30378	96	20	tail	tail	NOUN
ajst-30378	96	21	,	,	PUNCT
ajst-30378	96	22	and	and	CCONJ
ajst-30378	96	23	db	db	PROPN
ajst-30378	96	24	(	(	PUNCT
ajst-30378	96	25	i	i	NOUN
ajst-30378	96	26	)	)	PUNCT
ajst-30378	96	27	is	be	AUX
ajst-30378	96	28	used	use	VERB
ajst-30378	96	29	to	to	PART
ajst-30378	96	30	represent	represent	VERB
ajst-30378	96	31	the	the	DET
ajst-30378	96	32	i	i	PROPN
ajst-30378	96	33	-	-	PUNCT
ajst-30378	96	34	th	th	VERB
ajst-30378	96	35	dragon	dragon	NOUN
ajst-30378	96	36	body	body	NOUN
ajst-30378	96	37	.	.	PUNCT
ajst-30378	97	1	figures	figure	NOUN
ajst-30378	97	2	1	1	NUM
ajst-30378	97	3	and	and	CCONJ
ajst-30378	97	4	2	2	NUM
ajst-30378	97	5	show	show	VERB
ajst-30378	97	6	the	the	DET
ajst-30378	97	7	spatial	spatial	ADJ
ajst-30378	97	8	configurations	configuration	NOUN
ajst-30378	97	9	of	of	ADP
ajst-30378	97	10	bench	bench	NOUN
ajst-30378	97	11	dragons	dragon	NOUN
ajst-30378	97	12	at	at	ADP
ajst-30378	97	13	seconds	second	NOUN
ajst-30378	97	14	301	301	NUM
ajst-30378	97	15	and	and	CCONJ
ajst-30378	97	16	413	413	NUM
ajst-30378	97	17	.	.	PUNCT
ajst-30378	98	1	figure	figure	NOUN
ajst-30378	98	2	1	1	NUM
ajst-30378	98	3	shows	show	VERB
ajst-30378	98	4	the	the	DET
ajst-30378	98	5	arrangement	arrangement	NOUN
ajst-30378	98	6	of	of	ADP
ajst-30378	98	7	bench	bench	NOUN
ajst-30378	98	8	dragons	dragon	NOUN
ajst-30378	98	9	during	during	ADP
ajst-30378	98	10	normal	normal	ADJ
ajst-30378	98	11	movement	movement	NOUN
ajst-30378	98	12	,	,	PUNCT
ajst-30378	98	13	while	while	SCONJ
ajst-30378	98	14	figure	figure	NOUN
ajst-30378	98	15	2	2	NUM
ajst-30378	98	16	shows	show	VERB
ajst-30378	98	17	the	the	DET
ajst-30378	98	18	specific	specific	ADJ
ajst-30378	98	19	location	location	NOUN
ajst-30378	98	20	where	where	SCONJ
ajst-30378	98	21	the	the	DET
ajst-30378	98	22	collision	collision	NOUN
ajst-30378	98	23	occurred	occur	VERB
ajst-30378	98	24	.	.	PUNCT
ajst-30378	99	1	through	through	ADP
ajst-30378	99	2	these	these	DET
ajst-30378	99	3	graphs	graph	NOUN
ajst-30378	99	4	,	,	PUNCT
ajst-30378	99	5	we	we	PRON
ajst-30378	99	6	can	can	AUX
ajst-30378	99	7	intuitively	intuitively	ADV
ajst-30378	99	8	understand	understand	VERB
ajst-30378	99	9	the	the	DET
ajst-30378	99	10	movement	movement	NOUN
ajst-30378	99	11	trajectory	trajectory	NOUN
ajst-30378	99	12	and	and	CCONJ
ajst-30378	99	13	collision	collision	NOUN
ajst-30378	99	14	situation	situation	NOUN
ajst-30378	99	15	of	of	ADP
ajst-30378	99	16	bench	bench	NOUN
ajst-30378	99	17	dragon	dragon	NOUN
ajst-30378	99	18	and	and	CCONJ
ajst-30378	99	19	provide	provide	VERB
ajst-30378	99	20	an	an	DET
ajst-30378	99	21	intuitive	intuitive	ADJ
ajst-30378	99	22	reference	reference	NOUN
ajst-30378	99	23	for	for	ADP
ajst-30378	99	24	optimizing	optimize	VERB
ajst-30378	99	25	the	the	DET
ajst-30378	99	26	model	model	NOUN
ajst-30378	99	27	.	.	PUNCT
ajst-30378	100	1	figure	figure	NOUN
ajst-30378	100	2	2	2	NUM
ajst-30378	100	3	.	.	NOUN
ajst-30378	100	4	bench	bench	NOUN
ajst-30378	100	5	dragon	dragon	NOUN
ajst-30378	100	6	space	space	NOUN
ajst-30378	100	7	configuration	configuration	NOUN
ajst-30378	100	8	at	at	ADP
ajst-30378	100	9	301	301	NUM
ajst-30378	100	10	seconds	second	NOUN
ajst-30378	100	11	77	77	NUM
ajst-30378	100	12	figure	figure	NOUN
ajst-30378	100	13	3	3	NUM
ajst-30378	100	14	.	.	PUNCT
ajst-30378	100	15	spatial	spatial	ADJ
ajst-30378	100	16	configuration	configuration	NOUN
ajst-30378	100	17	of	of	ADP
ajst-30378	100	18	the	the	DET
ajst-30378	100	19	bench	bench	NOUN
ajst-30378	100	20	dragon	dragon	NOUN
ajst-30378	100	21	at	at	ADP
ajst-30378	100	22	the	the	DET
ajst-30378	100	23	time	time	NOUN
ajst-30378	100	24	of	of	ADP
ajst-30378	100	25	the	the	DET
ajst-30378	100	26	collision	collision	NOUN
ajst-30378	100	27	in	in	ADP
ajst-30378	100	28	the	the	DET
ajst-30378	100	29	413s	413s	PROPN
ajst-30378	100	30	3.2	3.2	NUM
ajst-30378	100	31	.	.	PUNCT
ajst-30378	101	1	screw	screw	VERB
ajst-30378	101	2	optimization	optimization	NOUN
ajst-30378	101	3	algorithm	algorithm	NOUN
ajst-30378	101	4	testing	testing	NOUN
ajst-30378	101	5	based	base	VERB
ajst-30378	101	6	on	on	ADP
ajst-30378	101	7	the	the	DET
ajst-30378	101	8	previously	previously	ADV
ajst-30378	101	9	established	establish	VERB
ajst-30378	101	10	model	model	NOUN
ajst-30378	101	11	,	,	PUNCT
ajst-30378	101	12	this	this	DET
ajst-30378	101	13	paragraph	paragraph	NOUN
ajst-30378	101	14	shows	show	VERB
ajst-30378	101	15	once	once	ADV
ajst-30378	101	16	again	again	ADV
ajst-30378	101	17	:	:	PUNCT
ajst-30378	101	18	spiral	spiral	ADJ
ajst-30378	101	19	model	model	NOUN
ajst-30378	101	20	:	:	PUNCT
ajst-30378	102	1	𝒓	𝒓	PROPN
ajst-30378	102	2	𝜽	𝜽	PROPN
ajst-30378	102	3	𝒂	𝒂	PRON
ajst-30378	102	4	𝒃𝜽	𝒃𝜽	ADV
ajst-30378	102	5	(	(	PUNCT
ajst-30378	102	6	2	2	NUM
ajst-30378	102	7	)	)	PUNCT
ajst-30378	102	8	where	where	SCONJ
ajst-30378	102	9	b	b	NOUN
ajst-30378	102	10	is	be	AUX
ajst-30378	102	11	the	the	DET
ajst-30378	102	12	screw	screw	ADJ
ajst-30378	102	13	-	-	PUNCT
ajst-30378	102	14	line	line	NOUN
ajst-30378	102	15	coefficient	coefficient	NOUN
ajst-30378	102	16	，	，	PROPN
ajst-30378	102	17	b	b	PROPN
ajst-30378	102	18	，	，	PROPN
ajst-30378	102	19	where	where	SCONJ
ajst-30378	102	20	a	a	PRON
ajst-30378	102	21	is	be	AUX
ajst-30378	102	22	the	the	DET
ajst-30378	102	23	pole	pole	ADJ
ajst-30378	102	24	diameter	diameter	NOUN
ajst-30378	102	25	of	of	ADP
ajst-30378	102	26	the	the	DET
ajst-30378	102	27	initial	initial	ADJ
ajst-30378	102	28	position	position	NOUN
ajst-30378	102	29	,	,	PUNCT
ajst-30378	102	30	which	which	PRON
ajst-30378	102	31	r	r	NOUN
ajst-30378	102	32	θ	θ	PROPN
ajst-30378	102	33	is	be	AUX
ajst-30378	102	34	the	the	DET
ajst-30378	102	35	pole	pole	NOUN
ajst-30378	102	36	diameter	diameter	NOUN
ajst-30378	102	37	.	.	PUNCT
ajst-30378	103	1	the	the	DET
ajst-30378	103	2	head	head	NOUN
ajst-30378	103	3	of	of	ADP
ajst-30378	103	4	the	the	DET
ajst-30378	103	5	dragon	dragon	PROPN
ajst-30378	103	6	movement	movement	PROPN
ajst-30378	103	7	model	model	PROPN
ajst-30378	103	8	:	:	PUNCT
ajst-30378	103	9	𝒅𝜽	𝒅𝜽	PROPN
ajst-30378	103	10	𝒅𝒕	𝒅𝒕	ADV
ajst-30378	103	11	𝟏	𝟏	PROPN
ajst-30378	103	12	𝒌	𝒌	PRON
ajst-30378	103	13	𝟏	𝟏	PROPN
ajst-30378	103	14	𝜽𝟐	𝜽𝟐	PROPN
ajst-30378	103	15	(	(	PUNCT
ajst-30378	103	16	3	3	NUM
ajst-30378	103	17	)	)	PUNCT
ajst-30378	103	18	equation	equation	NOUN
ajst-30378	103	19	for	for	ADP
ajst-30378	103	20	the	the	DET
ajst-30378	103	21	distance	distance	NOUN
ajst-30378	103	22	between	between	ADP
ajst-30378	103	23	two	two	NUM
ajst-30378	103	24	points	point	NOUN
ajst-30378	103	25	:	:	PUNCT
ajst-30378	103	26	𝒙	𝒙	NUM
ajst-30378	103	27	𝒊	𝒊	X
ajst-30378	103	28	𝟏,𝒋	𝟏,𝒋	PUNCT
ajst-30378	103	29	𝒙	𝒙	VERB
ajst-30378	103	30	𝒊,𝒋	𝒊,𝒋	PRON
ajst-30378	103	31	𝟐	𝟐	NUM
ajst-30378	103	32	𝒚	𝒚	NOUN
ajst-30378	103	33	𝒊	𝒊	X
ajst-30378	103	34	𝟏,𝒋	𝟏,𝒋	PROPN
ajst-30378	103	35	𝒚	𝒚	PROPN
ajst-30378	103	36	𝒊,𝒋	𝒊,𝒋	PRON
ajst-30378	103	37	𝟐	𝟐	NUM
ajst-30378	103	38	𝑳𝒊	𝑳𝒊	PROPN
ajst-30378	103	39	𝟏,𝒊	𝟏,𝒊	X
ajst-30378	103	40	𝟐.	𝟐.	NOUN
ajst-30378	103	41	𝟖𝟔𝐦	𝟖𝟔𝐦	X
ajst-30378	103	42	𝒊	𝒊	X
ajst-30378	103	43	𝟏	𝟏	NUM
ajst-30378	103	44	,	,	PUNCT
ajst-30378	103	45	𝑳𝒊	𝑳𝒊	PROPN
ajst-30378	103	46	𝟏,𝒊	𝟏,𝒊	X
ajst-30378	103	47	𝟏.	𝟏.	PUNCT
ajst-30378	103	48	𝟔𝟓𝐦	𝟔𝟓𝐦	X
ajst-30378	103	49	𝒊	𝒊	X
ajst-30378	103	50	𝟏	𝟏	NUM
ajst-30378	103	51	,	,	PUNCT
ajst-30378	103	52	(	(	PUNCT
ajst-30378	103	53	4	4	X
ajst-30378	103	54	)	)	PUNCT
ajst-30378	103	55	where	where	SCONJ
ajst-30378	103	56	i	i	PRON
ajst-30378	103	57	represents	represent	VERB
ajst-30378	103	58	the	the	DET
ajst-30378	103	59	serial	serial	ADJ
ajst-30378	103	60	number	number	NOUN
ajst-30378	103	61	of	of	ADP
ajst-30378	103	62	the	the	DET
ajst-30378	103	63	"	"	PUNCT
ajst-30378	103	64	bench	bench	NOUN
ajst-30378	103	65	dragon	dragon	NOUN
ajst-30378	103	66	"	"	PUNCT
ajst-30378	103	67	handle	handle	NOUN
ajst-30378	103	68	,	,	PUNCT
ajst-30378	103	69	i	i	PROPN
ajst-30378	103	70	1,2	1,2	NUM
ajst-30378	103	71	…	…	PUNCT
ajst-30378	103	72	…	…	PUNCT
ajst-30378	103	73	223,224；j	223,224；j	NUM
ajst-30378	103	74	indicates	indicate	VERB
ajst-30378	103	75	the	the	DET
ajst-30378	103	76	time	time	NOUN
ajst-30378	103	77	node	node	NOUN
ajst-30378	103	78	.	.	PUNCT
ajst-30378	104	1	x	x	X
ajst-30378	104	2	，	，	PROPN
ajst-30378	104	3	indicates	indicate	VERB
ajst-30378	104	4	the	the	DET
ajst-30378	104	5	position	position	NOUN
ajst-30378	104	6	of	of	ADP
ajst-30378	104	7	the	the	PRON
ajst-30378	104	8	i	i	PRON
ajst-30378	104	9	handle	handle	VERB
ajst-30378	104	10	at	at	ADP
ajst-30378	104	11	the	the	DET
ajst-30378	104	12	j	j	PROPN
ajst-30378	104	13	second	second	ADJ
ajst-30378	104	14	and	and	CCONJ
ajst-30378	104	15	the	the	DET
ajst-30378	104	16	l	l	NOUN
ajst-30378	104	17	,	,	PUNCT
ajst-30378	104	18	indicates	indicate	VERB
ajst-30378	104	19	the	the	DET
ajst-30378	104	20	distance	distance	NOUN
ajst-30378	104	21	between	between	ADP
ajst-30378	104	22	the	the	DET
ajst-30378	104	23	ith	ith	PROPN
ajst-30378	104	24	handle	handle	NOUN
ajst-30378	104	25	and	and	CCONJ
ajst-30378	104	26	the	the	DET
ajst-30378	104	27	(	(	PUNCT
ajst-30378	104	28	i	i	NOUN
ajst-30378	104	29	1	1	NUM
ajst-30378	104	30	)	)	PUNCT
ajst-30378	104	31	th	th	NOUN
ajst-30378	104	32	handle	handle	NOUN
ajst-30378	104	33	.	.	PUNCT
ajst-30378	105	1	collision	collision	NOUN
ajst-30378	105	2	detection	detection	NOUN
ajst-30378	105	3	mechanism	mechanism	NOUN
ajst-30378	105	4	:	:	PUNCT
ajst-30378	105	5	every	every	DET
ajst-30378	105	6	time	time	NOUN
ajst-30378	105	7	the	the	DET
ajst-30378	105	8	new	new	ADJ
ajst-30378	105	9	bench	bench	NOUN
ajst-30378	105	10	position	position	NOUN
ajst-30378	105	11	is	be	AUX
ajst-30378	105	12	calculated	calculate	VERB
ajst-30378	105	13	,	,	PUNCT
ajst-30378	105	14	the	the	DET
ajst-30378	105	15	collision	collision	NOUN
ajst-30378	105	16	detection	detection	NOUN
ajst-30378	105	17	must	must	AUX
ajst-30378	105	18	be	be	AUX
ajst-30378	105	19	conducted	conduct	VERB
ajst-30378	105	20	to	to	PART
ajst-30378	105	21	ensure	ensure	VERB
ajst-30378	105	22	that	that	SCONJ
ajst-30378	105	23	there	there	PRON
ajst-30378	105	24	is	be	VERB
ajst-30378	105	25	no	no	DET
ajst-30378	105	26	position	position	NOUN
ajst-30378	105	27	overlap	overlap	NOUN
ajst-30378	105	28	or	or	CCONJ
ajst-30378	105	29	contact	contact	NOUN
ajst-30378	105	30	with	with	ADP
ajst-30378	105	31	the	the	DET
ajst-30378	105	32	existing	exist	VERB
ajst-30378	105	33	bench	bench	NOUN
ajst-30378	105	34	.	.	PUNCT
ajst-30378	106	1	since	since	SCONJ
ajst-30378	106	2	the	the	DET
ajst-30378	106	3	dragon	dragon	NOUN
ajst-30378	106	4	dance	dance	NOUN
ajst-30378	106	5	team	team	NOUN
ajst-30378	106	6	uses	use	VERB
ajst-30378	106	7	a	a	DET
ajst-30378	106	8	spiral	spiral	ADJ
ajst-30378	106	9	arrangement	arrangement	NOUN
ajst-30378	106	10	,	,	PUNCT
ajst-30378	106	11	it	it	PRON
ajst-30378	106	12	is	be	AUX
ajst-30378	106	13	not	not	PART
ajst-30378	106	14	only	only	ADV
ajst-30378	106	15	necessary	necessary	ADJ
ajst-30378	106	16	to	to	PART
ajst-30378	106	17	detect	detect	VERB
ajst-30378	106	18	the	the	DET
ajst-30378	106	19	spacing	spacing	NOUN
ajst-30378	106	20	between	between	ADP
ajst-30378	106	21	the	the	DET
ajst-30378	106	22	new	new	ADJ
ajst-30378	106	23	benches	bench	NOUN
ajst-30378	106	24	and	and	CCONJ
ajst-30378	106	25	the	the	DET
ajst-30378	106	26	adjacent	adjacent	ADJ
ajst-30378	106	27	benches	bench	NOUN
ajst-30378	106	28	,	,	PUNCT
ajst-30378	106	29	but	but	CCONJ
ajst-30378	106	30	also	also	ADV
ajst-30378	106	31	to	to	PART
ajst-30378	106	32	pay	pay	VERB
ajst-30378	106	33	attention	attention	NOUN
ajst-30378	106	34	to	to	ADP
ajst-30378	106	35	the	the	DET
ajst-30378	106	36	relative	relative	ADJ
ajst-30378	106	37	position	position	NOUN
ajst-30378	106	38	with	with	ADP
ajst-30378	106	39	other	other	ADJ
ajst-30378	106	40	benches	bench	NOUN
ajst-30378	106	41	in	in	ADP
ajst-30378	106	42	the	the	DET
ajst-30378	106	43	outer	outer	ADJ
ajst-30378	106	44	layer	layer	NOUN
ajst-30378	106	45	to	to	PART
ajst-30378	106	46	ensure	ensure	VERB
ajst-30378	106	47	that	that	SCONJ
ajst-30378	106	48	there	there	PRON
ajst-30378	106	49	will	will	AUX
ajst-30378	106	50	be	be	AUX
ajst-30378	106	51	no	no	DET
ajst-30378	106	52	crossover	crossover	NOUN
ajst-30378	106	53	or	or	CCONJ
ajst-30378	106	54	interference	interference	NOUN
ajst-30378	106	55	.	.	PUNCT
ajst-30378	107	1	termination	termination	NOUN
ajst-30378	107	2	condition	condition	NOUN
ajst-30378	107	3	judgment	judgment	NOUN
ajst-30378	107	4	:	:	PUNCT
ajst-30378	107	5	two	two	NUM
ajst-30378	107	6	termination	termination	NOUN
ajst-30378	107	7	conditions	condition	NOUN
ajst-30378	107	8	need	need	VERB
ajst-30378	107	9	to	to	PART
ajst-30378	107	10	be	be	AUX
ajst-30378	107	11	judged	judge	VERB
ajst-30378	107	12	when	when	SCONJ
ajst-30378	107	13	the	the	DET
ajst-30378	107	14	model	model	NOUN
ajst-30378	107	15	runs	run	VERB
ajst-30378	107	16	.	.	PUNCT
ajst-30378	108	1	first	first	ADV
ajst-30378	108	2	,	,	PUNCT
ajst-30378	108	3	check	check	VERB
ajst-30378	108	4	that	that	SCONJ
ajst-30378	108	5	the	the	DET
ajst-30378	108	6	handle	handle	NOUN
ajst-30378	108	7	at	at	ADP
ajst-30378	108	8	the	the	DET
ajst-30378	108	9	front	front	NOUN
ajst-30378	108	10	of	of	ADP
ajst-30378	108	11	the	the	DET
ajst-30378	108	12	tap	tap	NOUN
ajst-30378	108	13	has	have	AUX
ajst-30378	108	14	reached	reach	VERB
ajst-30378	108	15	the	the	DET
ajst-30378	108	16	boundary	boundary	NOUN
ajst-30378	108	17	of	of	ADP
ajst-30378	108	18	the	the	DET
ajst-30378	108	19	turn	turn	NOUN
ajst-30378	108	20	area	area	NOUN
ajst-30378	108	21	;	;	PUNCT
ajst-30378	108	22	second	second	ADV
ajst-30378	108	23	,	,	PUNCT
ajst-30378	108	24	confirm	confirm	VERB
ajst-30378	108	25	that	that	SCONJ
ajst-30378	108	26	there	there	PRON
ajst-30378	108	27	is	be	VERB
ajst-30378	108	28	no	no	DET
ajst-30378	108	29	collision	collision	NOUN
ajst-30378	108	30	between	between	ADP
ajst-30378	108	31	the	the	DET
ajst-30378	108	32	benches	bench	NOUN
ajst-30378	108	33	.	.	PUNCT
ajst-30378	109	1	if	if	SCONJ
ajst-30378	109	2	the	the	DET
ajst-30378	109	3	tap	tap	NOUN
ajst-30378	109	4	successfully	successfully	ADV
ajst-30378	109	5	reaches	reach	VERB
ajst-30378	109	6	the	the	DET
ajst-30378	109	7	boundary	boundary	NOUN
ajst-30378	109	8	and	and	CCONJ
ajst-30378	109	9	maintains	maintain	VERB
ajst-30378	109	10	a	a	DET
ajst-30378	109	11	safe	safe	ADJ
ajst-30378	109	12	spacing	spacing	NOUN
ajst-30378	109	13	between	between	ADP
ajst-30378	109	14	the	the	DET
ajst-30378	109	15	benches	bench	NOUN
ajst-30378	109	16	,	,	PUNCT
ajst-30378	109	17	the	the	DET
ajst-30378	109	18	pitch	pitch	NOUN
ajst-30378	109	19	is	be	AUX
ajst-30378	109	20	considered	consider	VERB
ajst-30378	109	21	acceptable	acceptable	ADJ
ajst-30378	109	22	.	.	PUNCT
ajst-30378	110	1	select	select	VERB
ajst-30378	110	2	the	the	DET
ajst-30378	110	3	shortest	short	ADJ
ajst-30378	110	4	pitch	pitch	NOUN
ajst-30378	110	5	:	:	PUNCT
ajst-30378	110	6	select	select	VERB
ajst-30378	110	7	the	the	DET
ajst-30378	110	8	shortest	short	ADJ
ajst-30378	110	9	pitch	pitch	NOUN
ajst-30378	110	10	in	in	ADP
ajst-30378	110	11	the	the	DET
ajst-30378	110	12	qualified	qualified	ADJ
ajst-30378	110	13	pitch	pitch	NOUN
ajst-30378	110	14	set	set	VERB
ajst-30378	110	15	.	.	PUNCT
ajst-30378	111	1	the	the	DET
ajst-30378	111	2	optimization	optimization	NOUN
ajst-30378	111	3	model	model	NOUN
ajst-30378	111	4	combines	combine	VERB
ajst-30378	111	5	the	the	DET
ajst-30378	111	6	movement	movement	NOUN
ajst-30378	111	7	characteristics	characteristic	NOUN
ajst-30378	111	8	,	,	PUNCT
ajst-30378	111	9	structural	structural	ADJ
ajst-30378	111	10	layout	layout	NOUN
ajst-30378	111	11	and	and	CCONJ
ajst-30378	111	12	spatial	spatial	ADJ
ajst-30378	111	13	constraints	constraint	NOUN
ajst-30378	111	14	of	of	ADP
ajst-30378	111	15	the	the	DET
ajst-30378	111	16	dragon	dragon	NOUN
ajst-30378	111	17	dance	dance	NOUN
ajst-30378	111	18	team	team	NOUN
ajst-30378	111	19	,	,	PUNCT
ajst-30378	111	20	which	which	PRON
ajst-30378	111	21	can	can	AUX
ajst-30378	111	22	effectively	effectively	ADV
ajst-30378	111	23	simulate	simulate	VERB
ajst-30378	111	24	its	its	PRON
ajst-30378	111	25	spiral	spiral	ADJ
ajst-30378	111	26	forward	forward	ADJ
ajst-30378	111	27	process	process	NOUN
ajst-30378	111	28	.	.	PUNCT
ajst-30378	112	1	when	when	SCONJ
ajst-30378	112	2	the	the	DET
ajst-30378	112	3	pitch	pitch	NOUN
ajst-30378	112	4	is	be	AUX
ajst-30378	112	5	0.42	0.42	NUM
ajst-30378	112	6	m	m	NOUN
ajst-30378	112	7	,	,	PUNCT
ajst-30378	112	8	the	the	DET
ajst-30378	112	9	bench	bench	NOUN
ajst-30378	112	10	dragon	dragon	NOUN
ajst-30378	112	11	will	will	AUX
ajst-30378	112	12	collide	collide	VERB
ajst-30378	112	13	,	,	PUNCT
ajst-30378	112	14	as	as	SCONJ
ajst-30378	112	15	shown	show	VERB
ajst-30378	112	16	in	in	ADP
ajst-30378	112	17	figure	figure	NOUN
ajst-30378	112	18	4	4	NUM
ajst-30378	112	19	and	and	CCONJ
ajst-30378	112	20	figure	figure	VERB
ajst-30378	112	21	5	5	NUM
ajst-30378	112	22	:	:	PUNCT
ajst-30378	112	23	figure	figure	NOUN
ajst-30378	112	24	4	4	NUM
ajst-30378	112	25	.	.	PUNCT
ajst-30378	113	1	the	the	DET
ajst-30378	113	2	spatial	spatial	ADJ
ajst-30378	113	3	configuration	configuration	NOUN
ajst-30378	113	4	of	of	ADP
ajst-30378	113	5	the	the	DET
ajst-30378	113	6	bench	bench	NOUN
ajst-30378	113	7	dragon	dragon	NOUN
ajst-30378	113	8	at	at	ADP
ajst-30378	113	9	the	the	DET
ajst-30378	113	10	pitch	pitch	NOUN
ajst-30378	113	11	of	of	ADP
ajst-30378	113	12	0.42	0.42	NUM
ajst-30378	113	13	m	m	NUM
ajst-30378	113	14	78	78	NUM
ajst-30378	113	15	figure	figure	NOUN
ajst-30378	113	16	5	5	NUM
ajst-30378	113	17	.	.	PUNCT
ajst-30378	114	1	the	the	DET
ajst-30378	114	2	enlarged	enlarge	VERB
ajst-30378	114	3	version	version	NOUN
ajst-30378	114	4	of	of	ADP
ajst-30378	114	5	spatial	spatial	ADJ
ajst-30378	114	6	configuration	configuration	NOUN
ajst-30378	114	7	of	of	ADP
ajst-30378	114	8	the	the	DET
ajst-30378	114	9	bench	bench	NOUN
ajst-30378	114	10	dragon	dragon	NOUN
ajst-30378	114	11	at	at	ADP
ajst-30378	114	12	the	the	DET
ajst-30378	114	13	pitch	pitch	NOUN
ajst-30378	114	14	of	of	ADP
ajst-30378	114	15	0.42	0.42	NUM
ajst-30378	114	16	m	m	NOUN
ajst-30378	114	17	figures	figure	NOUN
ajst-30378	114	18	4	4	NUM
ajst-30378	114	19	and	and	CCONJ
ajst-30378	114	20	5	5	NUM
ajst-30378	114	21	show	show	VERB
ajst-30378	114	22	the	the	DET
ajst-30378	114	23	bench	bench	NOUN
ajst-30378	114	24	dragon	dragon	NOUN
ajst-30378	114	25	spatial	spatial	ADJ
ajst-30378	114	26	configuration	configuration	NOUN
ajst-30378	114	27	when	when	SCONJ
ajst-30378	114	28	the	the	DET
ajst-30378	114	29	pitch	pitch	NOUN
ajst-30378	114	30	is	be	AUX
ajst-30378	114	31	0.42	0.42	NUM
ajst-30378	114	32	m.	m.	NOUN
ajst-30378	114	33	figure	figure	NOUN
ajst-30378	114	34	9	9	NUM
ajst-30378	114	35	shows	show	VERB
ajst-30378	114	36	the	the	DET
ajst-30378	114	37	overall	overall	ADJ
ajst-30378	114	38	arrangement	arrangement	NOUN
ajst-30378	114	39	,	,	PUNCT
ajst-30378	114	40	and	and	CCONJ
ajst-30378	114	41	figure	figure	VERB
ajst-30378	114	42	10	10	NUM
ajst-30378	114	43	amplifies	amplify	VERB
ajst-30378	114	44	the	the	DET
ajst-30378	114	45	local	local	ADJ
ajst-30378	114	46	region	region	NOUN
ajst-30378	114	47	where	where	SCONJ
ajst-30378	114	48	the	the	DET
ajst-30378	114	49	collision	collision	NOUN
ajst-30378	114	50	occurs	occur	VERB
ajst-30378	114	51	.	.	PUNCT
ajst-30378	115	1	through	through	ADP
ajst-30378	115	2	these	these	DET
ajst-30378	115	3	figures	figure	NOUN
ajst-30378	115	4	,	,	PUNCT
ajst-30378	115	5	we	we	PRON
ajst-30378	115	6	can	can	AUX
ajst-30378	115	7	clearly	clearly	ADV
ajst-30378	115	8	see	see	VERB
ajst-30378	115	9	the	the	DET
ajst-30378	115	10	specific	specific	ADJ
ajst-30378	115	11	location	location	NOUN
ajst-30378	115	12	of	of	ADP
ajst-30378	115	13	the	the	DET
ajst-30378	115	14	collision	collision	NOUN
ajst-30378	115	15	when	when	SCONJ
ajst-30378	115	16	the	the	DET
ajst-30378	115	17	pitch	pitch	NOUN
ajst-30378	115	18	is	be	AUX
ajst-30378	115	19	0.42	0.42	NUM
ajst-30378	115	20	meters	meter	NOUN
ajst-30378	115	21	,	,	PUNCT
ajst-30378	115	22	which	which	PRON
ajst-30378	115	23	provides	provide	VERB
ajst-30378	115	24	intuitive	intuitive	ADJ
ajst-30378	115	25	evidence	evidence	NOUN
ajst-30378	115	26	for	for	ADP
ajst-30378	115	27	determining	determine	VERB
ajst-30378	115	28	the	the	DET
ajst-30378	115	29	optimal	optimal	ADJ
ajst-30378	115	30	pitch	pitch	NOUN
ajst-30378	115	31	.	.	PUNCT
ajst-30378	116	1	in	in	ADP
ajst-30378	116	2	this	this	DET
ajst-30378	116	3	study	study	NOUN
ajst-30378	116	4	,	,	PUNCT
ajst-30378	116	5	the	the	DET
ajst-30378	116	6	pitch	pitch	NOUN
ajst-30378	116	7	was	be	AUX
ajst-30378	116	8	optimized	optimize	VERB
ajst-30378	116	9	by	by	ADP
ajst-30378	116	10	iterative	iterative	NOUN
ajst-30378	116	11	method	method	NOUN
ajst-30378	116	12	to	to	PART
ajst-30378	116	13	ensure	ensure	VERB
ajst-30378	116	14	that	that	SCONJ
ajst-30378	116	15	the	the	DET
ajst-30378	116	16	bench	bench	NOUN
ajst-30378	116	17	dragon	dragon	NOUN
ajst-30378	116	18	could	could	AUX
ajst-30378	116	19	enter	enter	VERB
ajst-30378	116	20	the	the	DET
ajst-30378	116	21	u	u	NOUN
ajst-30378	116	22	-	-	NOUN
ajst-30378	116	23	turn	turn	NOUN
ajst-30378	116	24	space	space	NOUN
ajst-30378	116	25	smoothly	smoothly	ADV
ajst-30378	116	26	without	without	ADP
ajst-30378	116	27	collision	collision	NOUN
ajst-30378	116	28	.	.	PUNCT
ajst-30378	117	1	using	use	VERB
ajst-30378	117	2	the	the	DET
ajst-30378	117	3	screw	screw	ADJ
ajst-30378	117	4	model	model	NOUN
ajst-30378	117	5	,	,	PUNCT
ajst-30378	117	6	faucet	faucet	PROPN
ajst-30378	117	7	motion	motion	NOUN
ajst-30378	117	8	model	model	NOUN
ajst-30378	117	9	and	and	CCONJ
ajst-30378	117	10	collision	collision	NOUN
ajst-30378	117	11	detection	detection	NOUN
ajst-30378	117	12	mechanism	mechanism	NOUN
ajst-30378	117	13	,	,	PUNCT
ajst-30378	117	14	the	the	DET
ajst-30378	117	15	optimal	optimal	ADJ
ajst-30378	117	16	pitch	pitch	NOUN
ajst-30378	117	17	is	be	AUX
ajst-30378	117	18	0.43	0.43	NUM
ajst-30378	117	19	m	m	NOUN
ajst-30378	117	20	,	,	PUNCT
ajst-30378	117	21	which	which	PRON
ajst-30378	117	22	meets	meet	VERB
ajst-30378	117	23	the	the	DET
ajst-30378	117	24	requirements	requirement	NOUN
ajst-30378	117	25	of	of	ADP
ajst-30378	117	26	safe	safe	ADJ
ajst-30378	117	27	and	and	CCONJ
ajst-30378	117	28	smooth	smooth	ADJ
ajst-30378	117	29	operation	operation	NOUN
ajst-30378	117	30	.	.	PUNCT
ajst-30378	118	1	figure	figure	NOUN
ajst-30378	118	2	6	6	NUM
ajst-30378	118	3	.	.	PUNCT
ajst-30378	118	4	bench	bench	NOUN
ajst-30378	118	5	dragon	dragon	NOUN
ajst-30378	118	6	space	space	NOUN
ajst-30378	118	7	configuration	configuration	NOUN
ajst-30378	118	8	with	with	ADP
ajst-30378	118	9	a	a	DET
ajst-30378	118	10	pitch	pitch	NOUN
ajst-30378	118	11	of	of	ADP
ajst-30378	118	12	0.43	0.43	NUM
ajst-30378	118	13	m	m	NOUN
ajst-30378	118	14	figure	figure	NOUN
ajst-30378	118	15	6	6	NUM
ajst-30378	118	16	shows	show	VERB
ajst-30378	118	17	the	the	DET
ajst-30378	118	18	bench	bench	NOUN
ajst-30378	118	19	dragon	dragon	NOUN
ajst-30378	118	20	space	space	NOUN
ajst-30378	118	21	configuration	configuration	NOUN
ajst-30378	118	22	with	with	ADP
ajst-30378	118	23	a	a	DET
ajst-30378	118	24	pitch	pitch	NOUN
ajst-30378	118	25	of	of	ADP
ajst-30378	118	26	0.43	0.43	NUM
ajst-30378	118	27	m.	m.	NOUN
ajst-30378	118	28	at	at	ADP
ajst-30378	118	29	this	this	DET
ajst-30378	118	30	time	time	NOUN
ajst-30378	118	31	,	,	PUNCT
ajst-30378	118	32	the	the	DET
ajst-30378	118	33	bench	bench	NOUN
ajst-30378	118	34	dragon	dragon	NOUN
ajst-30378	118	35	can	can	AUX
ajst-30378	118	36	smoothly	smoothly	ADV
ajst-30378	118	37	enter	enter	VERB
ajst-30378	118	38	the	the	DET
ajst-30378	118	39	u	u	NOUN
ajst-30378	118	40	-	-	NOUN
ajst-30378	118	41	turn	turn	NOUN
ajst-30378	118	42	space	space	NOUN
ajst-30378	118	43	without	without	ADP
ajst-30378	118	44	collision	collision	NOUN
ajst-30378	118	45	,	,	PUNCT
ajst-30378	118	46	indicating	indicate	VERB
ajst-30378	118	47	that	that	SCONJ
ajst-30378	118	48	0.43	0.43	NUM
ajst-30378	118	49	meters	meter	NOUN
ajst-30378	118	50	is	be	AUX
ajst-30378	118	51	the	the	DET
ajst-30378	118	52	optimal	optimal	ADJ
ajst-30378	118	53	pitch	pitch	NOUN
ajst-30378	118	54	.	.	PUNCT
ajst-30378	119	1	3.3	3.3	NUM
ajst-30378	119	2	.	.	PUNCT
ajst-30378	120	1	planning	planning	NOUN
ajst-30378	120	2	of	of	ADP
ajst-30378	120	3	the	the	DET
ajst-30378	120	4	u	u	NOUN
ajst-30378	120	5	-	-	NOUN
ajst-30378	120	6	turn	turn	NOUN
ajst-30378	120	7	curve	curve	NOUN
ajst-30378	120	8	path	path	NOUN
ajst-30378	120	9	therefore	therefore	ADV
ajst-30378	120	10	,	,	PUNCT
ajst-30378	120	11	the	the	DET
ajst-30378	120	12	model	model	NOUN
ajst-30378	120	13	constructed	construct	VERB
ajst-30378	120	14	in	in	ADP
ajst-30378	120	15	this	this	DET
ajst-30378	120	16	paper	paper	NOUN
ajst-30378	120	17	can	can	AUX
ajst-30378	120	18	optimize	optimize	VERB
ajst-30378	120	19	and	and	CCONJ
ajst-30378	120	20	calculate	calculate	VERB
ajst-30378	120	21	the	the	DET
ajst-30378	120	22	shortest	short	ADJ
ajst-30378	120	23	path	path	NOUN
ajst-30378	120	24	while	while	SCONJ
ajst-30378	120	25	ensuring	ensure	VERB
ajst-30378	120	26	the	the	DET
ajst-30378	120	27	tangential	tangential	ADJ
ajst-30378	120	28	movement	movement	NOUN
ajst-30378	120	29	path	path	NOUN
ajst-30378	120	30	when	when	SCONJ
ajst-30378	120	31	the	the	DET
ajst-30378	120	32	bench	bench	NOUN
ajst-30378	120	33	dragon	dragon	NOUN
ajst-30378	120	34	turns	turn	VERB
ajst-30378	120	35	around	around	ADP
ajst-30378	120	36	,	,	PUNCT
ajst-30378	120	37	so	so	SCONJ
ajst-30378	120	38	the	the	DET
ajst-30378	120	39	model	model	NOUN
ajst-30378	120	40	is	be	AUX
ajst-30378	120	41	reasonably	reasonably	ADV
ajst-30378	120	42	assumed	assume	VERB
ajst-30378	120	43	:	:	PUNCT
ajst-30378	120	44	the	the	DET
ajst-30378	120	45	pitch	pitch	NOUN
ajst-30378	120	46	of	of	ADP
ajst-30378	120	47	the	the	DET
ajst-30378	120	48	coiled	coil	VERB
ajst-30378	120	49	spiral	spiral	NOUN
ajst-30378	120	50	is	be	AUX
ajst-30378	120	51	1.7	1.7	NUM
ajst-30378	120	52	meters	meter	NOUN
ajst-30378	120	53	,	,	PUNCT
ajst-30378	120	54	and	and	CCONJ
ajst-30378	120	55	the	the	DET
ajst-30378	120	56	coiled	coil	VERB
ajst-30378	120	57	spiral	spiral	ADJ
ajst-30378	120	58	and	and	CCONJ
ajst-30378	120	59	coiled	coil	VERB
ajst-30378	120	60	spiral	spiral	NOUN
ajst-30378	120	61	are	be	AUX
ajst-30378	120	62	centrally	centrally	ADV
ajst-30378	120	63	symmetrical	symmetrical	ADJ
ajst-30378	120	64	with	with	ADP
ajst-30378	120	65	respect	respect	NOUN
ajst-30378	120	66	to	to	ADP
ajst-30378	120	67	the	the	DET
ajst-30378	120	68	center	center	NOUN
ajst-30378	120	69	of	of	ADP
ajst-30378	120	70	the	the	DET
ajst-30378	120	71	spiral	spiral	NOUN
ajst-30378	120	72	.	.	PUNCT
ajst-30378	121	1	the	the	DET
ajst-30378	121	2	dragon	dragon	NOUN
ajst-30378	121	3	dance	dance	NOUN
ajst-30378	121	4	team	team	NOUN
ajst-30378	121	5	completes	complete	VERB
ajst-30378	121	6	the	the	DET
ajst-30378	121	7	u	u	NOUN
ajst-30378	121	8	-	-	NOUN
ajst-30378	121	9	turn	turn	NOUN
ajst-30378	121	10	in	in	ADP
ajst-30378	121	11	the	the	DET
ajst-30378	121	12	u	u	NOUN
ajst-30378	121	13	-	-	NOUN
ajst-30378	121	14	turn	turn	NOUN
ajst-30378	121	15	space	space	NOUN
ajst-30378	121	16	,	,	PUNCT
ajst-30378	121	17	and	and	CCONJ
ajst-30378	121	18	the	the	DET
ajst-30378	121	19	u	u	NOUN
ajst-30378	121	20	-	-	NOUN
ajst-30378	121	21	turn	turn	NOUN
ajst-30378	121	22	path	path	NOUN
ajst-30378	121	23	is	be	AUX
ajst-30378	121	24	composed	compose	VERB
ajst-30378	121	25	of	of	ADP
ajst-30378	121	26	two	two	NUM
ajst-30378	121	27	tangent	tangent	ADJ
ajst-30378	121	28	arcs	arc	NOUN
ajst-30378	121	29	,	,	PUNCT
ajst-30378	121	30	the	the	DET
ajst-30378	121	31	radius	radius	NOUN
ajst-30378	121	32	of	of	ADP
ajst-30378	121	33	the	the	DET
ajst-30378	121	34	first	first	ADJ
ajst-30378	121	35	arc	arc	NOUN
ajst-30378	121	36	is	be	AUX
ajst-30378	121	37	twice	twice	DET
ajst-30378	121	38	that	that	PRON
ajst-30378	121	39	of	of	ADP
ajst-30378	121	40	the	the	DET
ajst-30378	121	41	next	next	ADJ
ajst-30378	121	42	one	one	NUM
ajst-30378	121	43	,	,	PUNCT
ajst-30378	121	44	and	and	CCONJ
ajst-30378	121	45	it	it	PRON
ajst-30378	121	46	is	be	AUX
ajst-30378	121	47	tangent	tangent	ADJ
ajst-30378	121	48	to	to	ADP
ajst-30378	121	49	the	the	DET
ajst-30378	121	50	coiled	coil	VERB
ajst-30378	121	51	in	in	ADP
ajst-30378	121	52	and	and	CCONJ
ajst-30378	121	53	out	out	ADP
ajst-30378	121	54	spirals	spiral	NOUN
ajst-30378	121	55	.	.	PUNCT
ajst-30378	122	1	3.3.1	3.3.1	X
ajst-30378	122	2	.	.	X
ajst-30378	122	3	turnaround	turnaround	PROPN
ajst-30378	122	4	curve	curve	NOUN
ajst-30378	122	5	model	model	NOUN
ajst-30378	122	6	steps	step	NOUN
ajst-30378	122	7	overview	overview	VERB
ajst-30378	122	8	1	1	NUM
ajst-30378	122	9	)	)	PUNCT
ajst-30378	122	10	determine	determine	VERB
ajst-30378	122	11	the	the	DET
ajst-30378	122	12	center	center	NOUN
ajst-30378	122	13	coordinates	coordinate	NOUN
ajst-30378	122	14	given	give	VERB
ajst-30378	122	15	:	:	PUNCT
ajst-30378	122	16	coordinates	coordinate	NOUN
ajst-30378	122	17	of	of	ADP
ajst-30378	122	18	point	point	NOUN
ajst-30378	122	19	a	a	DET
ajst-30378	122	20	𝒙𝟏	𝒙𝟏	NOUN
ajst-30378	122	21	,	,	PUNCT
ajst-30378	122	22	𝒚𝟏	𝒚𝟏	INTJ
ajst-30378	122	23	,	,	PUNCT
ajst-30378	122	24	coordinates	coordinate	NOUN
ajst-30378	122	25	of	of	ADP
ajst-30378	122	26	point	point	NOUN
ajst-30378	122	27	b	b	NOUN
ajst-30378	122	28	𝒙𝟐	𝒙𝟐	NOUN
ajst-30378	122	29	,	,	PUNCT
ajst-30378	122	30	𝒚𝟐	𝒚𝟐	INTJ
ajst-30378	122	31	,	,	PUNCT
ajst-30378	122	32	radius	radius	NOUN
ajst-30378	122	33	of	of	ADP
ajst-30378	122	34	the	the	DET
ajst-30378	122	35	smaller	small	ADJ
ajst-30378	122	36	arc	arc	NOUN
ajst-30378	122	37	r	r	NOUN
ajst-30378	122	38	,	,	PUNCT
ajst-30378	122	39	and	and	CCONJ
ajst-30378	122	40	radius	radius	NOUN
ajst-30378	122	41	of	of	ADP
ajst-30378	122	42	the	the	DET
ajst-30378	122	43	larger	large	ADJ
ajst-30378	122	44	arc	arc	NOUN
ajst-30378	122	45	2r	2r	NUM
ajst-30378	122	46	.	.	PUNCT
ajst-30378	123	1	the	the	DET
ajst-30378	123	2	coordinates	coordinate	NOUN
ajst-30378	123	3	of	of	ADP
ajst-30378	123	4	the	the	DET
ajst-30378	123	5	center	center	ADJ
ajst-30378	123	6	𝑶𝟏	𝑶𝟏	NOUN
ajst-30378	123	7	of	of	ADP
ajst-30378	123	8	the	the	DET
ajst-30378	123	9	larger	large	ADJ
ajst-30378	123	10	arc	arc	NOUN
ajst-30378	123	11	can	can	AUX
ajst-30378	123	12	be	be	AUX
ajst-30378	123	13	determined	determine	VERB
ajst-30378	123	14	based	base	VERB
ajst-30378	123	15	on	on	ADP
ajst-30378	123	16	the	the	DET
ajst-30378	123	17	coordinates	coordinate	NOUN
ajst-30378	123	18	of	of	ADP
ajst-30378	123	19	point	point	NOUN
ajst-30378	123	20	a	a	PRON
ajst-30378	123	21	and	and	CCONJ
ajst-30378	123	22	the	the	DET
ajst-30378	123	23	radius	radius	NOUN
ajst-30378	123	24	of	of	ADP
ajst-30378	123	25	the	the	DET
ajst-30378	123	26	larger	large	ADJ
ajst-30378	123	27	arc	arc	NOUN
ajst-30378	123	28	2r	2r	NUM
ajst-30378	123	29	.	.	PUNCT
ajst-30378	124	1	since	since	SCONJ
ajst-30378	124	2	𝑶𝟏	𝑶𝟏	NOUN
ajst-30378	124	3	is	be	AUX
ajst-30378	124	4	perpendicular	perpendicular	ADJ
ajst-30378	124	5	to	to	ADP
ajst-30378	124	6	the	the	DET
ajst-30378	124	7	tangent	tangent	NOUN
ajst-30378	124	8	at	at	ADP
ajst-30378	124	9	point	point	NOUN
ajst-30378	124	10	a	a	PRON
ajst-30378	124	11	and	and	CCONJ
ajst-30378	124	12	the	the	DET
ajst-30378	124	13	length	length	NOUN
ajst-30378	124	14	of	of	ADP
ajst-30378	124	15	𝑨𝑶𝟏	𝑨𝑶𝟏	PROPN
ajst-30378	124	16	is	be	AUX
ajst-30378	124	17	2r	2r	NUM
ajst-30378	124	18	,	,	PUNCT
ajst-30378	124	19	the	the	DET
ajst-30378	124	20	coordinates	coordinate	NOUN
ajst-30378	124	21	of	of	ADP
ajst-30378	124	22	𝑶𝟏	𝑶𝟏	PROPN
ajst-30378	124	23	79	79	NUM
ajst-30378	124	24	can	can	AUX
ajst-30378	124	25	be	be	AUX
ajst-30378	124	26	expressed	express	VERB
ajst-30378	124	27	as	as	ADP
ajst-30378	124	28	:	:	PUNCT
ajst-30378	124	29	𝑶𝟏	𝑶𝟏	NOUN
ajst-30378	124	30	𝒚𝟏	𝒚𝟏	INTJ
ajst-30378	124	31	𝟐𝑹	𝟐𝑹	ADV
ajst-30378	124	32	⋅	⋅	PROPN
ajst-30378	124	33	𝐬𝐢𝐧	𝐬𝐢𝐧	ADP
ajst-30378	124	34	𝜽𝟏	𝜽𝟏	NOUN
ajst-30378	124	35	,	,	PUNCT
ajst-30378	124	36	𝒚𝟏	𝒚𝟏	ADV
ajst-30378	124	37	𝟐𝑹	𝟐𝑹	ADJ
ajst-30378	124	38	⋅	⋅	PROPN
ajst-30378	124	39	𝐜𝐨𝐬	𝐜𝐨𝐬	NOUN
ajst-30378	124	40	𝜽𝟏	𝜽𝟏	NOUN
ajst-30378	124	41	(	(	PUNCT
ajst-30378	124	42	5	5	NUM
ajst-30378	124	43	)	)	PUNCT
ajst-30378	124	44	the	the	DET
ajst-30378	124	45	coordinates	coordinate	NOUN
ajst-30378	124	46	of	of	ADP
ajst-30378	124	47	the	the	DET
ajst-30378	124	48	center	center	NOUN
ajst-30378	124	49	o_2	o_2	NOUN
ajst-30378	124	50	of	of	ADP
ajst-30378	124	51	the	the	DET
ajst-30378	124	52	smaller	small	ADJ
ajst-30378	124	53	arc	arc	NOUN
ajst-30378	124	54	can	can	AUX
ajst-30378	124	55	be	be	AUX
ajst-30378	124	56	determined	determine	VERB
ajst-30378	124	57	based	base	VERB
ajst-30378	124	58	on	on	ADP
ajst-30378	124	59	the	the	DET
ajst-30378	124	60	coordinates	coordinate	NOUN
ajst-30378	124	61	of	of	ADP
ajst-30378	124	62	point	point	NOUN
ajst-30378	124	63	b	b	PROPN
ajst-30378	124	64	and	and	CCONJ
ajst-30378	124	65	the	the	DET
ajst-30378	124	66	radius	radius	NOUN
ajst-30378	124	67	of	of	ADP
ajst-30378	124	68	the	the	DET
ajst-30378	124	69	smaller	small	ADJ
ajst-30378	124	70	arc	arc	NOUN
ajst-30378	124	71	r.	r.	PROPN
ajst-30378	124	72	since	since	SCONJ
ajst-30378	124	73	bo_2	bo_2	PROPN
ajst-30378	124	74	is	be	AUX
ajst-30378	124	75	perpendicular	perpendicular	ADJ
ajst-30378	124	76	to	to	ADP
ajst-30378	124	77	the	the	DET
ajst-30378	124	78	tangent	tangent	NOUN
ajst-30378	124	79	at	at	ADP
ajst-30378	124	80	point	point	NOUN
ajst-30378	124	81	b	b	NOUN
ajst-30378	124	82	and	and	CCONJ
ajst-30378	124	83	the	the	DET
ajst-30378	124	84	length	length	NOUN
ajst-30378	124	85	of	of	ADP
ajst-30378	124	86	bo_2	bo_2	PROPN
ajst-30378	124	87	is	be	AUX
ajst-30378	124	88	r	r	NOUN
ajst-30378	124	89	,	,	PUNCT
ajst-30378	124	90	the	the	DET
ajst-30378	124	91	coordinates	coordinate	NOUN
ajst-30378	124	92	of	of	ADP
ajst-30378	124	93	o_2	o_2	PROPN
ajst-30378	124	94	can	can	AUX
ajst-30378	124	95	be	be	AUX
ajst-30378	124	96	expressed	express	VERB
ajst-30378	124	97	as	as	ADP
ajst-30378	124	98	:	:	PUNCT
ajst-30378	124	99	𝑶𝟐	𝑶𝟐	NOUN
ajst-30378	124	100	𝒙𝟐	𝒙𝟐	NOUN
ajst-30378	124	101	𝑹	𝑹	PROPN
ajst-30378	124	102	⋅	⋅	PROPN
ajst-30378	124	103	𝐬𝐢𝐧	𝐬𝐢𝐧	ADP
ajst-30378	124	104	𝜽𝟐	𝜽𝟐	PROPN
ajst-30378	124	105	,	,	PUNCT
ajst-30378	124	106	𝒚𝟐	𝒚𝟐	NOUN
ajst-30378	124	107	𝑹	𝑹	NOUN
ajst-30378	124	108	⋅	⋅	PROPN
ajst-30378	124	109	𝐜𝐨𝐬	𝐜𝐨𝐬	NOUN
ajst-30378	124	110	𝜽𝟐	𝜽𝟐	PROPN
ajst-30378	124	111	(	(	PUNCT
ajst-30378	124	112	6	6	NUM
ajst-30378	124	113	)	)	SYM
ajst-30378	124	114	2	2	NUM
ajst-30378	124	115	)	)	PUNCT
ajst-30378	124	116	solve	solve	NOUN
ajst-30378	124	117	for	for	ADP
ajst-30378	124	118	the	the	DET
ajst-30378	124	119	tangent	tangent	NOUN
ajst-30378	124	120	point	point	NOUN
ajst-30378	124	121	c	c	NOUN
ajst-30378	124	122	let	let	VERB
ajst-30378	124	123	the	the	DET
ajst-30378	124	124	coordinates	coordinate	NOUN
ajst-30378	124	125	of	of	ADP
ajst-30378	124	126	point	point	NOUN
ajst-30378	125	1	c	c	AUX
ajst-30378	125	2	be	be	AUX
ajst-30378	125	3	𝒙𝟑	𝒙𝟑	PROPN
ajst-30378	125	4	,	,	PUNCT
ajst-30378	125	5	𝒚𝟑	𝒚𝟑	VERB
ajst-30378	125	6	the	the	DET
ajst-30378	125	7	equation	equation	NOUN
ajst-30378	125	8	of	of	ADP
ajst-30378	125	9	the	the	DET
ajst-30378	125	10	larger	large	ADJ
ajst-30378	125	11	circle	circle	NOUN
ajst-30378	125	12	is	be	AUX
ajst-30378	125	13	:	:	PUNCT
ajst-30378	126	1	𝒙	𝒙	X
ajst-30378	126	2	𝒙𝒐𝟏	𝒙𝒐𝟏	NOUN
ajst-30378	126	3	𝟐+	𝟐+	NOUN
ajst-30378	126	4	𝒚	𝒚	NOUN
ajst-30378	126	5	𝒚𝒐𝟏	𝒚𝒐𝟏	NOUN
ajst-30378	126	6	𝟐=	𝟐=	X
ajst-30378	126	7	𝟐𝑹	𝟐𝑹	NOUN
ajst-30378	126	8	𝟐	𝟐	NUM
ajst-30378	126	9	(	(	PUNCT
ajst-30378	126	10	7	7	NUM
ajst-30378	126	11	)	)	PUNCT
ajst-30378	126	12	the	the	DET
ajst-30378	126	13	equation	equation	NOUN
ajst-30378	126	14	of	of	ADP
ajst-30378	126	15	the	the	DET
ajst-30378	126	16	smaller	small	ADJ
ajst-30378	126	17	circle	circle	NOUN
ajst-30378	126	18	is	be	AUX
ajst-30378	126	19	𝒙	𝒙	PROPN
ajst-30378	126	20	𝒙𝒐𝟐	𝒙𝒐𝟐	ADV
ajst-30378	126	21	𝟐+	𝟐+	NOUN
ajst-30378	126	22	𝒚	𝒚	DET
ajst-30378	126	23	𝒚𝒐𝟐	𝒚𝒐𝟐	NOUN
ajst-30378	126	24	𝟐=𝑹𝟐	𝟐=𝑹𝟐	SYM
ajst-30378	126	25	(	(	PUNCT
ajst-30378	126	26	8)	8)	NUM
ajst-30378	126	27	by	by	ADP
ajst-30378	126	28	solving	solve	VERB
ajst-30378	126	29	these	these	DET
ajst-30378	126	30	two	two	NUM
ajst-30378	126	31	equations	equation	NOUN
ajst-30378	126	32	simultaneously	simultaneously	ADV
ajst-30378	126	33	,	,	PUNCT
ajst-30378	126	34	the	the	DET
ajst-30378	126	35	coordinates	coordinate	NOUN
ajst-30378	126	36	of	of	ADP
ajst-30378	126	37	the	the	DET
ajst-30378	126	38	tangent	tangent	NOUN
ajst-30378	126	39	point	point	NOUN
ajst-30378	126	40	c	c	PROPN
ajst-30378	126	41	𝒙𝟑	𝒙𝟑	PROPN
ajst-30378	126	42	,	,	PUNCT
ajst-30378	126	43	𝒚𝟑	𝒚𝟑	PROPN
ajst-30378	126	44	can	can	AUX
ajst-30378	126	45	be	be	AUX
ajst-30378	126	46	obtained	obtain	VERB
ajst-30378	126	47	.	.	PUNCT
ajst-30378	127	1	3	3	X
ajst-30378	127	2	)	)	PUNCT
ajst-30378	127	3	calculate	calculate	NOUN
ajst-30378	127	4	angles	angle	NOUN
ajst-30378	127	5	α	α	NOUN
ajst-30378	127	6	and	and	CCONJ
ajst-30378	127	7	r	r	X
ajst-30378	127	8	the	the	DET
ajst-30378	127	9	angle	angle	NOUN
ajst-30378	127	10	𝜶	𝜶	NOUN
ajst-30378	127	11	between	between	ADP
ajst-30378	127	12	𝑨𝑶𝟏	𝑨𝑶𝟏	PROPN
ajst-30378	127	13	and	and	CCONJ
ajst-30378	127	14	𝑪𝑶𝟏	𝑪𝑶𝟏	PROPN
ajst-30378	127	15	can	can	AUX
ajst-30378	127	16	be	be	AUX
ajst-30378	127	17	calculated	calculate	VERB
ajst-30378	127	18	using	use	VERB
ajst-30378	127	19	the	the	DET
ajst-30378	127	20	dot	dot	NOUN
ajst-30378	127	21	product	product	NOUN
ajst-30378	127	22	formula	formula	NOUN
ajst-30378	127	23	of	of	ADP
ajst-30378	127	24	vectors	vector	NOUN
ajst-30378	127	25	:	:	PUNCT
ajst-30378	127	26	𝜶	𝜶	PART
ajst-30378	127	27	𝐜𝐨𝐬	𝐜𝐨𝐬	VERB
ajst-30378	127	28	𝟏	𝟏	NUM
ajst-30378	127	29	𝒙𝟑	𝒙𝟑	PROPN
ajst-30378	127	30	𝒙𝟏	𝒙𝟏	NOUN
ajst-30378	127	31	⋅	⋅	PROPN
ajst-30378	127	32	𝒙𝟎𝟏	𝒙𝟎𝟏	NOUN
ajst-30378	127	33	𝒙𝟏	𝒙𝟏	NOUN
ajst-30378	127	34	𝒚𝟑	𝒚𝟑	NOUN
ajst-30378	128	1	𝒚𝟏	𝒚𝟏	PROPN
ajst-30378	128	2	⋅	⋅	PROPN
ajst-30378	128	3	𝒚𝒐𝟏	𝒚𝒐𝟏	INTJ
ajst-30378	129	1	𝒚𝟏	𝒚𝟏	INTJ
ajst-30378	129	2	𝟐𝑹	𝟐𝑹	ADV
ajst-30378	129	3	𝒙𝟑	𝒙𝟑	PROPN
ajst-30378	129	4	𝒙𝟏	𝒙𝟏	NOUN
ajst-30378	129	5	𝟐	𝟐	NUM
ajst-30378	129	6	𝒚𝟑	𝒚𝟑	NOUN
ajst-30378	129	7	𝒚𝟏	𝒚𝟏	PROPN
ajst-30378	129	8	𝟐	𝟐	NUM
ajst-30378	129	9	(	(	PUNCT
ajst-30378	129	10	9	9	NUM
ajst-30378	129	11	)	)	PUNCT
ajst-30378	129	12	the	the	DET
ajst-30378	129	13	angle	angle	NOUN
ajst-30378	129	14	𝒓	𝒓	PROPN
ajst-30378	129	15	between	between	ADP
ajst-30378	129	16	𝑩𝑶𝟐	𝑩𝑶𝟐	PROPN
ajst-30378	129	17	and	and	CCONJ
ajst-30378	129	18	𝑪𝑶𝟐	𝑪𝑶𝟐	PROPN
ajst-30378	129	19	can	can	AUX
ajst-30378	129	20	be	be	AUX
ajst-30378	129	21	calculated	calculate	VERB
ajst-30378	129	22	using	use	VERB
ajst-30378	129	23	the	the	DET
ajst-30378	129	24	dot	dot	NOUN
ajst-30378	129	25	product	product	NOUN
ajst-30378	129	26	formula	formula	NOUN
ajst-30378	129	27	of	of	ADP
ajst-30378	129	28	vectors	vector	NOUN
ajst-30378	129	29	:	:	PUNCT
ajst-30378	129	30	𝒓	𝒓	PRON
ajst-30378	129	31	𝐜𝐨𝐬	𝐜𝐨𝐬	VERB
ajst-30378	129	32	𝟏	𝟏	NUM
ajst-30378	129	33	𝒙𝟑	𝒙𝟑	PROPN
ajst-30378	129	34	𝒙𝟐	𝒙𝟐	NOUN
ajst-30378	129	35	⋅	⋅	PROPN
ajst-30378	129	36	𝒙𝟎𝟐	𝒙𝟎𝟐	NUM
ajst-30378	129	37	𝒙𝟐	𝒙𝟐	NOUN
ajst-30378	129	38	𝒚𝟑	𝒚𝟑	NOUN
ajst-30378	129	39	𝒚𝟐	𝒚𝟐	PROPN
ajst-30378	129	40	⋅	⋅	PROPN
ajst-30378	129	41	𝒚𝒐𝟐	𝒚𝒐𝟐	INTJ
ajst-30378	129	42	𝒚𝟐	𝒚𝟐	INTJ
ajst-30378	129	43	𝑹	𝑹	NOUN
ajst-30378	129	44	𝒙𝟑	𝒙𝟑	PROPN
ajst-30378	129	45	𝒙𝟐	𝒙𝟐	NOUN
ajst-30378	129	46	𝟐	𝟐	NUM
ajst-30378	129	47	𝒚𝟑	𝒚𝟑	NOUN
ajst-30378	129	48	𝒚𝟐	𝒚𝟐	PROPN
ajst-30378	129	49	𝟐	𝟐	NUM
ajst-30378	129	50	(	(	PUNCT
ajst-30378	129	51	10	10	NUM
ajst-30378	129	52	)	)	PUNCT
ajst-30378	129	53	4	4	NUM
ajst-30378	129	54	)	)	PUNCT
ajst-30378	129	55	solve	solve	NOUN
ajst-30378	129	56	for	for	ADP
ajst-30378	129	57	the	the	DET
ajst-30378	129	58	arc	arc	NOUN
ajst-30378	129	59	lengths	length	NOUN
ajst-30378	129	60	the	the	DET
ajst-30378	129	61	length	length	NOUN
ajst-30378	129	62	of	of	ADP
ajst-30378	129	63	the	the	DET
ajst-30378	129	64	larger	large	ADJ
ajst-30378	129	65	arc	arc	NOUN
ajst-30378	129	66	ac	ac	PROPN
ajst-30378	129	67	can	can	AUX
ajst-30378	129	68	be	be	AUX
ajst-30378	129	69	calculated	calculate	VERB
ajst-30378	129	70	using	use	VERB
ajst-30378	129	71	the	the	DET
ajst-30378	129	72	angle	angle	NOUN
ajst-30378	129	73	α	α	NOUN
ajst-30378	129	74	:	:	PUNCT
ajst-30378	129	75	𝐚𝐫𝐜	𝐚𝐫𝐜	PROPN
ajst-30378	129	76	𝐥𝐞𝐧𝐠𝐭𝐡	𝐥𝐞𝐧𝐠𝐭𝐡	PROPN
ajst-30378	129	77	𝐀𝐂	𝐀𝐂	PROPN
ajst-30378	129	78	𝟐𝐑	𝟐𝐑	NOUN
ajst-30378	129	79	⋅	⋅	PROPN
ajst-30378	129	80	𝛂	𝛂	X
ajst-30378	129	81	(	(	PUNCT
ajst-30378	129	82	11	11	NUM
ajst-30378	129	83	)	)	PUNCT
ajst-30378	129	84	the	the	DET
ajst-30378	129	85	length	length	NOUN
ajst-30378	129	86	of	of	ADP
ajst-30378	129	87	the	the	DET
ajst-30378	129	88	smaller	small	ADJ
ajst-30378	129	89	arc	arc	NOUN
ajst-30378	129	90	bc	bc	PROPN
ajst-30378	129	91	can	can	AUX
ajst-30378	129	92	be	be	AUX
ajst-30378	129	93	calculated	calculate	VERB
ajst-30378	129	94	using	use	VERB
ajst-30378	129	95	the	the	DET
ajst-30378	129	96	angle	angle	NOUN
ajst-30378	129	97	r	r	NOUN
ajst-30378	129	98	:	:	PUNCT
ajst-30378	129	99	𝐚𝐫𝐜	𝐚𝐫𝐜	NOUN
ajst-30378	129	100	𝐥𝐞𝐧𝐠𝐭𝐡	𝐥𝐞𝐧𝐠𝐭𝐡	NOUN
ajst-30378	129	101	𝑩𝑪	𝑩𝑪	PROPN
ajst-30378	129	102	𝑹	𝑹	PROPN
ajst-30378	129	103	⋅	⋅	PROPN
ajst-30378	129	104	𝒓	𝒓	PROPN
ajst-30378	129	105	(	(	PUNCT
ajst-30378	129	106	12	12	NUM
ajst-30378	129	107	)	)	PUNCT
ajst-30378	129	108	5	5	NUM
ajst-30378	129	109	)	)	PUNCT
ajst-30378	129	110	calculate	calculate	VERB
ajst-30378	129	111	the	the	DET
ajst-30378	129	112	total	total	ADJ
ajst-30378	129	113	arc	arc	NOUN
ajst-30378	129	114	length	length	NOUN
ajst-30378	129	115	𝐭𝐨𝐭𝐚𝐥	𝐭𝐨𝐭𝐚𝐥	PROPN
ajst-30378	129	116	𝐚𝐫𝐜	𝐚𝐫𝐜	PROPN
ajst-30378	129	117	𝐥𝐞𝐧𝐠𝐭𝐡	𝐥𝐞𝐧𝐠𝐭𝐡	VERB
ajst-30378	129	118	𝟐𝑹	𝟐𝑹	ADJ
ajst-30378	129	119	⋅	⋅	PROPN
ajst-30378	129	120	𝜶	𝜶	ADP
ajst-30378	129	121	𝑹	𝑹	PROPN
ajst-30378	129	122	⋅	⋅	PROPN
ajst-30378	129	123	𝒓	𝒓	PROPN
ajst-30378	129	124	(	(	PUNCT
ajst-30378	129	125	13	13	NUM
ajst-30378	129	126	)	)	PUNCT
ajst-30378	129	127	assuming	assume	VERB
ajst-30378	129	128	that	that	SCONJ
ajst-30378	129	129	the	the	DET
ajst-30378	129	130	bench	bench	NOUN
ajst-30378	129	131	dragon	dragon	NOUN
ajst-30378	129	132	begins	begin	VERB
ajst-30378	129	133	to	to	PART
ajst-30378	129	134	turn	turn	VERB
ajst-30378	129	135	as	as	SCONJ
ajst-30378	129	136	it	it	PRON
ajst-30378	129	137	follows	follow	VERB
ajst-30378	129	138	the	the	DET
ajst-30378	129	139	spiral	spiral	NOUN
ajst-30378	129	140	into	into	ADP
ajst-30378	129	141	the	the	DET
ajst-30378	129	142	turning	turn	VERB
ajst-30378	129	143	area	area	NOUN
ajst-30378	129	144	and	and	CCONJ
ajst-30378	129	145	continues	continue	VERB
ajst-30378	129	146	its	its	PRON
ajst-30378	129	147	motion	motion	NOUN
ajst-30378	129	148	along	along	ADP
ajst-30378	129	149	the	the	DET
ajst-30378	129	150	spiral	spiral	NOUN
ajst-30378	129	151	out	out	ADP
ajst-30378	129	152	of	of	ADP
ajst-30378	129	153	the	the	DET
ajst-30378	129	154	turning	turning	NOUN
ajst-30378	129	155	area	area	NOUN
ajst-30378	129	156	as	as	ADV
ajst-30378	129	157	soon	soon	ADV
ajst-30378	129	158	as	as	SCONJ
ajst-30378	129	159	it	it	PRON
ajst-30378	129	160	exits	exit	VERB
ajst-30378	129	161	the	the	DET
ajst-30378	129	162	turning	turning	NOUN
ajst-30378	129	163	area	area	NOUN
ajst-30378	129	164	.	.	PUNCT
ajst-30378	130	1	by	by	ADP
ajst-30378	130	2	solving	solve	VERB
ajst-30378	130	3	the	the	DET
ajst-30378	130	4	equations	equation	NOUN
ajst-30378	130	5	of	of	ADP
ajst-30378	130	6	the	the	DET
ajst-30378	130	7	turning	turning	NOUN
ajst-30378	130	8	area	area	NOUN
ajst-30378	130	9	and	and	CCONJ
ajst-30378	130	10	the	the	DET
ajst-30378	130	11	spiral	spiral	NOUN
ajst-30378	130	12	into	into	ADP
ajst-30378	130	13	the	the	DET
ajst-30378	130	14	area	area	NOUN
ajst-30378	130	15	,	,	PUNCT
ajst-30378	130	16	we	we	PRON
ajst-30378	130	17	obtain	obtain	VERB
ajst-30378	130	18	the	the	DET
ajst-30378	130	19	coordinates	coordinate	NOUN
ajst-30378	130	20	of	of	ADP
ajst-30378	130	21	point	point	NOUN
ajst-30378	130	22	a	a	ADV
ajst-30378	130	23	;	;	PUNCT
ajst-30378	130	24	by	by	ADP
ajst-30378	130	25	solving	solve	VERB
ajst-30378	130	26	the	the	DET
ajst-30378	130	27	equations	equation	NOUN
ajst-30378	130	28	of	of	ADP
ajst-30378	130	29	the	the	DET
ajst-30378	130	30	turning	turning	NOUN
ajst-30378	130	31	area	area	NOUN
ajst-30378	130	32	and	and	CCONJ
ajst-30378	130	33	the	the	DET
ajst-30378	130	34	spiral	spiral	NOUN
ajst-30378	130	35	out	out	ADP
ajst-30378	130	36	of	of	ADP
ajst-30378	130	37	the	the	DET
ajst-30378	130	38	area	area	NOUN
ajst-30378	130	39	,	,	PUNCT
ajst-30378	130	40	we	we	PRON
ajst-30378	130	41	obtain	obtain	VERB
ajst-30378	130	42	the	the	DET
ajst-30378	130	43	coordinates	coordinate	NOUN
ajst-30378	130	44	of	of	ADP
ajst-30378	130	45	point	point	NOUN
ajst-30378	130	46	b.	b.	PROPN
ajst-30378	131	1	the	the	DET
ajst-30378	131	2	shortest	short	ADJ
ajst-30378	131	3	turning	turning	NOUN
ajst-30378	131	4	path	path	NOUN
ajst-30378	131	5	can	can	AUX
ajst-30378	131	6	be	be	AUX
ajst-30378	131	7	easily	easily	ADV
ajst-30378	131	8	calculated	calculate	VERB
ajst-30378	131	9	as	as	ADP
ajst-30378	131	10	13.6212	13.6212	NUM
ajst-30378	131	11	meters	meter	NOUN
ajst-30378	131	12	.	.	PUNCT
ajst-30378	132	1	the	the	DET
ajst-30378	132	2	region	region	NOUN
ajst-30378	132	3	where	where	SCONJ
ajst-30378	132	4	the	the	DET
ajst-30378	132	5	bench	bench	NOUN
ajst-30378	132	6	dragon	dragon	NOUN
ajst-30378	132	7	spirals	spiral	NOUN
ajst-30378	132	8	in	in	ADP
ajst-30378	132	9	,	,	PUNCT
ajst-30378	132	10	spirals	spiral	NOUN
ajst-30378	132	11	out	out	ADP
ajst-30378	132	12	,	,	PUNCT
ajst-30378	132	13	and	and	CCONJ
ajst-30378	132	14	turns	turn	VERB
ajst-30378	132	15	around	around	ADV
ajst-30378	132	16	has	have	AUX
ajst-30378	132	17	been	be	AUX
ajst-30378	132	18	plotted	plot	VERB
ajst-30378	132	19	using	use	VERB
ajst-30378	132	20	matlab	matlab	PROPN
ajst-30378	132	21	,	,	PUNCT
ajst-30378	132	22	as	as	SCONJ
ajst-30378	132	23	shown	show	VERB
ajst-30378	132	24	in	in	ADP
ajst-30378	132	25	figure	figure	NOUN
ajst-30378	132	26	7	7	NUM
ajst-30378	132	27	.	.	PUNCT
ajst-30378	132	28	figure	figure	NOUN
ajst-30378	132	29	7	7	NUM
ajst-30378	132	30	.	.	PUNCT
ajst-30378	132	31	entrance	entrance	NOUN
ajst-30378	132	32	and	and	CCONJ
ajst-30378	132	33	exit	exit	NOUN
ajst-30378	132	34	areas	area	NOUN
ajst-30378	132	35	,	,	PUNCT
ajst-30378	132	36	and	and	CCONJ
ajst-30378	133	1	turnaround	turnaround	NOUN
ajst-30378	133	2	zones	zone	NOUN
ajst-30378	133	3	table	table	NOUN
ajst-30378	133	4	2	2	NUM
ajst-30378	133	5	records	record	VERB
ajst-30378	133	6	the	the	DET
ajst-30378	133	7	positions	position	NOUN
ajst-30378	133	8	and	and	CCONJ
ajst-30378	133	9	velocities	velocity	NOUN
ajst-30378	133	10	of	of	ADP
ajst-30378	133	11	each	each	DET
ajst-30378	133	12	handle	handle	NOUN
ajst-30378	133	13	of	of	ADP
ajst-30378	133	14	the	the	DET
ajst-30378	133	15	bench	bench	NOUN
ajst-30378	133	16	dragon	dragon	NOUN
ajst-30378	133	17	at	at	ADP
ajst-30378	133	18	t	t	PROPN
ajst-30378	133	19	=	=	SYM
ajst-30378	133	20	-100	-100	NUM
ajst-30378	133	21	seconds	second	NOUN
ajst-30378	133	22	and	and	CCONJ
ajst-30378	133	23	t	t	NOUN
ajst-30378	133	24	=	=	NUM
ajst-30378	133	25	100	100	NUM
ajst-30378	133	26	seconds	second	NOUN
ajst-30378	133	27	.	.	PUNCT
ajst-30378	134	1	these	these	DET
ajst-30378	134	2	data	datum	NOUN
ajst-30378	134	3	not	not	PART
ajst-30378	134	4	only	only	ADV
ajst-30378	134	5	assist	assist	VERB
ajst-30378	134	6	in	in	ADP
ajst-30378	134	7	analyzing	analyze	VERB
ajst-30378	134	8	the	the	DET
ajst-30378	134	9	motion	motion	NOUN
ajst-30378	134	10	trajectory	trajectory	NOUN
ajst-30378	134	11	of	of	ADP
ajst-30378	134	12	the	the	DET
ajst-30378	134	13	bench	bench	NOUN
ajst-30378	134	14	dragon	dragon	NOUN
ajst-30378	134	15	but	but	CCONJ
ajst-30378	134	16	also	also	ADV
ajst-30378	134	17	provide	provide	VERB
ajst-30378	134	18	detailed	detailed	ADJ
ajst-30378	134	19	data	datum	NOUN
ajst-30378	134	20	support	support	NOUN
ajst-30378	134	21	for	for	ADP
ajst-30378	134	22	optimizing	optimize	VERB
ajst-30378	134	23	its	its	PRON
ajst-30378	134	24	collision	collision	NOUN
ajst-30378	134	25	detection	detection	NOUN
ajst-30378	134	26	and	and	CCONJ
ajst-30378	134	27	pitch	pitch	NOUN
ajst-30378	134	28	.	.	PUNCT
ajst-30378	134	29	table	table	NOUN
ajst-30378	135	1	2	2	NUM
ajst-30378	135	2	.	.	X
ajst-30378	135	3	position	position	NOUN
ajst-30378	135	4	and	and	CCONJ
ajst-30378	135	5	speed	speed	NOUN
ajst-30378	135	6	of	of	ADP
ajst-30378	135	7	dragon	dragon	NOUN
ajst-30378	135	8	's	's	PART
ajst-30378	135	9	bench	bench	NOUN
ajst-30378	135	10	handles	handle	NOUN
ajst-30378	135	11	at	at	ADP
ajst-30378	135	12	different	different	ADJ
ajst-30378	135	13	times	time	NOUN
ajst-30378	135	14	t	t	NOUN
ajst-30378	136	1	=	=	PRON
ajst-30378	136	2	-100s	-100s	PROPN
ajst-30378	136	3	t=100s	t=100	VERB
ajst-30378	136	4	dh	dh	NOUN
ajst-30378	136	5	(	(	PUNCT
ajst-30378	136	6	7.7780	7.7780	NUM
ajst-30378	136	7	,	,	PUNCT
ajst-30378	136	8	3.7172	3.7172	NUM
ajst-30378	136	9	,	,	PUNCT
ajst-30378	136	10	1.0000	1.0000	NUM
ajst-30378	136	11	)	)	PUNCT
ajst-30378	136	12	(	(	PUNCT
ajst-30378	136	13	-3.0835	-3.0835	NOUN
ajst-30378	136	14	,	,	PUNCT
ajst-30378	136	15	7.5761	7.5761	NUM
ajst-30378	136	16	,	,	PUNCT
ajst-30378	136	17	1.0000	1.0000	NUM
ajst-30378	136	18	)	)	PUNCT
ajst-30378	136	19	db	db	PROPN
ajst-30378	136	20	(	(	PUNCT
ajst-30378	136	21	1	1	NUM
ajst-30378	136	22	)	)	PUNCT
ajst-30378	136	23	(	(	PUNCT
ajst-30378	136	24	6.2093	6.2093	NUM
ajst-30378	136	25	,	,	PUNCT
ajst-30378	136	26	6.1085	6.1085	NUM
ajst-30378	136	27	,	,	PUNCT
ajst-30378	136	28	0.9999	0.9999	NUM
ajst-30378	136	29	)	)	PUNCT
ajst-30378	136	30	(	(	PUNCT
ajst-30378	136	31	-0.2681	-0.2681	X
ajst-30378	136	32	,	,	PUNCT
ajst-30378	136	33	8.0795	8.0795	NUM
ajst-30378	136	34	,	,	PUNCT
ajst-30378	136	35	1.0001	1.0001	NUM
ajst-30378	136	36	)	)	PUNCT
ajst-30378	136	37	db	db	PROPN
ajst-30378	136	38	(	(	PUNCT
ajst-30378	136	39	51	51	NUM
ajst-30378	136	40	)	)	PUNCT
ajst-30378	136	41	(	(	PUNCT
ajst-30378	136	42	-10.6080	-10.6080	ADV
ajst-30378	136	43	,	,	PUNCT
ajst-30378	136	44	2.8315	2.8315	NUM
ajst-30378	136	45	,	,	PUNCT
ajst-30378	136	46	0.9993	0.9993	NUM
ajst-30378	136	47	)	)	PUNCT
ajst-30378	136	48	(	(	PUNCT
ajst-30378	136	49	2.1626	2.1626	NUM
ajst-30378	136	50	,	,	PUNCT
ajst-30378	136	51	3.9926	3.9926	NUM
ajst-30378	136	52	,	,	PUNCT
ajst-30378	136	53	1.0040	1.0040	NUM
ajst-30378	136	54	)	)	PUNCT
ajst-30378	136	55	db	db	PROPN
ajst-30378	136	56	(	(	PUNCT
ajst-30378	136	57	101	101	NUM
ajst-30378	136	58	)	)	PUNCT
ajst-30378	136	59	(	(	PUNCT
ajst-30378	136	60	-11.9228	-11.9228	NUM
ajst-30378	136	61	,	,	PUNCT
ajst-30378	136	62	-4.8024	-4.8024	NOUN
ajst-30378	136	63	,	,	PUNCT
ajst-30378	136	64	0.9991	0.9991	NUM
ajst-30378	136	65	)	)	PUNCT
ajst-30378	136	66	(	(	PUNCT
ajst-30378	136	67	-7.3146	-7.3146	NOUN
ajst-30378	136	68	,	,	PUNCT
ajst-30378	136	69	1.9821	1.9821	NUM
ajst-30378	136	70	,	,	PUNCT
ajst-30378	136	71	1.0544	1.0544	NUM
ajst-30378	136	72	)	)	PUNCT
ajst-30378	136	73	db	db	PROPN
ajst-30378	136	74	(	(	PUNCT
ajst-30378	136	75	151	151	NUM
ajst-30378	136	76	)	)	PUNCT
ajst-30378	136	77	(	(	PUNCT
ajst-30378	136	78	-14.3510	-14.3510	X
ajst-30378	136	79	,	,	PUNCT
ajst-30378	136	80	-1.9810	-1.9810	NOUN
ajst-30378	136	81	,	,	PUNCT
ajst-30378	136	82	0.9989	0.9989	NUM
ajst-30378	136	83	)	)	PUNCT
ajst-30378	136	84	(	(	PUNCT
ajst-30378	136	85	9.4944	9.4944	NUM
ajst-30378	136	86	,	,	PUNCT
ajst-30378	136	87	-3.4608	-3.4608	NOUN
ajst-30378	136	88	,	,	PUNCT
ajst-30378	136	89	1.0535	1.0535	NUM
ajst-30378	136	90	)	)	PUNCT
ajst-30378	136	91	db	db	PROPN
ajst-30378	136	92	(	(	PUNCT
ajst-30378	136	93	201	201	NUM
ajst-30378	136	94	)	)	PUNCT
ajst-30378	136	95	(	(	PUNCT
ajst-30378	136	96	-11.9529	-11.9529	ADV
ajst-30378	136	97	,	,	PUNCT
ajst-30378	136	98	10.5670	10.5670	NUM
ajst-30378	136	99	,	,	PUNCT
ajst-30378	136	100	0.9988	0.9988	NUM
ajst-30378	136	101	)	)	PUNCT
ajst-30378	136	102	(	(	PUNCT
ajst-30378	136	103	8.4646	8.4646	NUM
ajst-30378	136	104	,	,	PUNCT
ajst-30378	136	105	8.6684	8.6684	NUM
ajst-30378	136	106	,	,	PUNCT
ajst-30378	136	107	1.0531	1.0531	NUM
ajst-30378	136	108	)	)	PUNCT
ajst-30378	136	109	dt	dt	NOUN
ajst-30378	136	110	(	(	PUNCT
ajst-30378	136	111	-1.0111	-1.0111	PROPN
ajst-30378	136	112	,	,	PUNCT
ajst-30378	136	113	-16.5276	-16.5276	NOUN
ajst-30378	136	114	,	,	PUNCT
ajst-30378	136	115	0.9988	0.9988	NUM
ajst-30378	136	116	)	)	PUNCT
ajst-30378	136	117	(	(	PUNCT
ajst-30378	136	118	-10.9365	-10.9365	INTJ
ajst-30378	136	119	,	,	PUNCT
ajst-30378	136	120	-6.8437	-6.8437	NOUN
ajst-30378	136	121	,	,	PUNCT
ajst-30378	136	122	1.0530	1.0530	NUM
ajst-30378	136	123	)	)	PUNCT
ajst-30378	136	124	4	4	NUM
ajst-30378	136	125	.	.	X
ajst-30378	136	126	conclusion	conclusion	VERB
ajst-30378	136	127	the	the	DET
ajst-30378	136	128	model	model	NOUN
ajst-30378	136	129	successfully	successfully	ADV
ajst-30378	136	130	integrates	integrate	VERB
ajst-30378	136	131	the	the	DET
ajst-30378	136	132	motion	motion	NOUN
ajst-30378	136	133	of	of	ADP
ajst-30378	136	134	the	the	DET
ajst-30378	136	135	bench	bench	NOUN
ajst-30378	136	136	dragon	dragon	NOUN
ajst-30378	136	137	with	with	ADP
ajst-30378	136	138	collision	collision	NOUN
ajst-30378	136	139	detection	detection	NOUN
ajst-30378	136	140	,	,	PUNCT
ajst-30378	136	141	accurately	accurately	ADV
ajst-30378	136	142	determining	determine	VERB
ajst-30378	136	143	the	the	DET
ajst-30378	136	144	time	time	NOUN
ajst-30378	136	145	point	point	NOUN
ajst-30378	136	146	at	at	ADP
ajst-30378	136	147	which	which	PRON
ajst-30378	136	148	the	the	DET
ajst-30378	136	149	motion	motion	NOUN
ajst-30378	136	150	terminates	terminate	VERB
ajst-30378	136	151	using	use	VERB
ajst-30378	136	152	dynamic	dynamic	ADJ
ajst-30378	136	153	algorithms	algorithm	NOUN
ajst-30378	136	154	.	.	PUNCT
ajst-30378	137	1	this	this	PRON
ajst-30378	137	2	plays	play	VERB
ajst-30378	137	3	a	a	DET
ajst-30378	137	4	critical	critical	ADJ
ajst-30378	137	5	role	role	NOUN
ajst-30378	137	6	in	in	ADP
ajst-30378	137	7	understanding	understand	VERB
ajst-30378	137	8	the	the	DET
ajst-30378	137	9	motion	motion	NOUN
ajst-30378	137	10	boundaries	boundary	NOUN
ajst-30378	137	11	of	of	ADP
ajst-30378	137	12	the	the	DET
ajst-30378	137	13	bench	bench	NOUN
ajst-30378	137	14	dragon	dragon	NOUN
ajst-30378	137	15	and	and	CCONJ
ajst-30378	137	16	optimizing	optimize	VERB
ajst-30378	137	17	the	the	DET
ajst-30378	137	18	performance	performance	NOUN
ajst-30378	137	19	effect	effect	NOUN
ajst-30378	137	20	.	.	PUNCT
ajst-30378	138	1	the	the	DET
ajst-30378	138	2	model	model	NOUN
ajst-30378	138	3	employs	employ	VERB
ajst-30378	138	4	efficient	efficient	ADJ
ajst-30378	138	5	algorithms	algorithm	NOUN
ajst-30378	138	6	such	such	ADJ
ajst-30378	138	7	as	as	ADP
ajst-30378	138	8	spatial	spatial	ADJ
ajst-30378	138	9	partitioning	partitioning	NOUN
ajst-30378	138	10	and	and	CCONJ
ajst-30378	138	11	vectorized	vectorize	VERB
ajst-30378	138	12	computation	computation	NOUN
ajst-30378	138	13	,	,	PUNCT
ajst-30378	138	14	significantly	significantly	ADV
ajst-30378	138	15	enhancing	enhance	VERB
ajst-30378	138	16	the	the	DET
ajst-30378	138	17	calculation	calculation	NOUN
ajst-30378	138	18	speed	speed	NOUN
ajst-30378	138	19	and	and	CCONJ
ajst-30378	138	20	enabling	enable	VERB
ajst-30378	138	21	80	80	NUM
ajst-30378	138	22	large	large	ADJ
ajst-30378	138	23	-	-	PUNCT
ajst-30378	138	24	scale	scale	NOUN
ajst-30378	138	25	collision	collision	NOUN
ajst-30378	138	26	detection	detection	NOUN
ajst-30378	138	27	tasks	task	NOUN
ajst-30378	138	28	to	to	PART
ajst-30378	138	29	be	be	AUX
ajst-30378	138	30	processed	process	VERB
ajst-30378	138	31	within	within	ADP
ajst-30378	138	32	a	a	DET
ajst-30378	138	33	reasonable	reasonable	ADJ
ajst-30378	138	34	time	time	NOUN
ajst-30378	138	35	frame	frame	NOUN
ajst-30378	138	36	,	,	PUNCT
ajst-30378	138	37	ensuring	ensure	VERB
ajst-30378	138	38	the	the	DET
ajst-30378	138	39	rapidity	rapidity	NOUN
ajst-30378	138	40	and	and	CCONJ
ajst-30378	138	41	practicality	practicality	NOUN
ajst-30378	138	42	of	of	ADP
ajst-30378	138	43	the	the	DET
ajst-30378	138	44	calculations	calculation	NOUN
ajst-30378	138	45	.	.	PUNCT
ajst-30378	139	1	the	the	DET
ajst-30378	139	2	model	model	NOUN
ajst-30378	139	3	innovatively	innovatively	ADV
ajst-30378	139	4	formalizes	formalize	VERB
ajst-30378	139	5	the	the	DET
ajst-30378	139	6	pitch	pitch	NOUN
ajst-30378	139	7	optimization	optimization	NOUN
ajst-30378	139	8	problem	problem	NOUN
ajst-30378	139	9	into	into	ADP
ajst-30378	139	10	a	a	DET
ajst-30378	139	11	mathematical	mathematical	ADJ
ajst-30378	139	12	model	model	NOUN
ajst-30378	139	13	and	and	CCONJ
ajst-30378	139	14	combines	combine	VERB
ajst-30378	139	15	it	it	PRON
ajst-30378	139	16	with	with	ADP
ajst-30378	139	17	motion	motion	NOUN
ajst-30378	139	18	simulation	simulation	NOUN
ajst-30378	139	19	,	,	PUNCT
ajst-30378	139	20	successfully	successfully	ADV
ajst-30378	139	21	calculating	calculate	VERB
ajst-30378	139	22	the	the	DET
ajst-30378	139	23	minimum	minimum	ADJ
ajst-30378	139	24	feasible	feasible	ADJ
ajst-30378	139	25	pitch	pitch	NOUN
ajst-30378	139	26	,	,	PUNCT
ajst-30378	139	27	which	which	PRON
ajst-30378	139	28	significantly	significantly	ADV
ajst-30378	139	29	improves	improve	VERB
ajst-30378	139	30	the	the	DET
ajst-30378	139	31	design	design	NOUN
ajst-30378	139	32	accuracy	accuracy	NOUN
ajst-30378	139	33	of	of	ADP
ajst-30378	139	34	the	the	DET
ajst-30378	139	35	bench	bench	NOUN
ajst-30378	139	36	dragon	dragon	NOUN
ajst-30378	139	37	performance	performance	NOUN
ajst-30378	139	38	.	.	PUNCT
ajst-30378	140	1	the	the	DET
ajst-30378	140	2	optimal	optimal	ADJ
ajst-30378	140	3	pitch	pitch	NOUN
ajst-30378	140	4	is	be	AUX
ajst-30378	140	5	determined	determine	VERB
ajst-30378	140	6	to	to	PART
ajst-30378	140	7	be	be	AUX
ajst-30378	140	8	0.43	0.43	NUM
ajst-30378	140	9	meters	meter	NOUN
ajst-30378	140	10	.	.	PUNCT
ajst-30378	141	1	the	the	DET
ajst-30378	141	2	model	model	NOUN
ajst-30378	141	3	not	not	PART
ajst-30378	141	4	only	only	ADV
ajst-30378	141	5	considers	consider	VERB
ajst-30378	141	6	practical	practical	ADJ
ajst-30378	141	7	constraints	constraint	NOUN
ajst-30378	141	8	such	such	ADJ
ajst-30378	141	9	as	as	ADP
ajst-30378	141	10	collision	collision	NOUN
ajst-30378	141	11	avoidance	avoidance	NOUN
ajst-30378	141	12	and	and	CCONJ
ajst-30378	141	13	turning	turn	VERB
ajst-30378	141	14	space	space	NOUN
ajst-30378	141	15	,	,	PUNCT
ajst-30378	141	16	but	but	CCONJ
ajst-30378	141	17	also	also	ADV
ajst-30378	141	18	effectively	effectively	ADV
ajst-30378	141	19	enhances	enhance	VERB
ajst-30378	141	20	the	the	DET
ajst-30378	141	21	practicality	practicality	NOUN
ajst-30378	141	22	and	and	CCONJ
ajst-30378	141	23	reliability	reliability	NOUN
ajst-30378	141	24	of	of	ADP
ajst-30378	141	25	the	the	DET
ajst-30378	141	26	design	design	NOUN
ajst-30378	141	27	through	through	ADP
ajst-30378	141	28	optimization	optimization	NOUN
ajst-30378	141	29	algorithms	algorithm	NOUN
ajst-30378	141	30	.	.	PUNCT
ajst-30378	142	1	this	this	DET
ajst-30378	142	2	comprehensive	comprehensive	ADJ
ajst-30378	142	3	and	and	CCONJ
ajst-30378	142	4	precise	precise	ADJ
ajst-30378	142	5	design	design	NOUN
ajst-30378	142	6	approach	approach	NOUN
ajst-30378	142	7	provides	provide	VERB
ajst-30378	142	8	strong	strong	ADJ
ajst-30378	142	9	theoretical	theoretical	ADJ
ajst-30378	142	10	support	support	NOUN
ajst-30378	142	11	for	for	ADP
ajst-30378	142	12	performance	performance	NOUN
ajst-30378	142	13	planning	planning	NOUN
ajst-30378	142	14	,	,	PUNCT
ajst-30378	142	15	allowing	allow	VERB
ajst-30378	142	16	designers	designer	NOUN
ajst-30378	142	17	to	to	PART
ajst-30378	142	18	maximize	maximize	VERB
ajst-30378	142	19	performance	performance	NOUN
ajst-30378	142	20	effects	effect	NOUN
ajst-30378	142	21	within	within	ADP
ajst-30378	142	22	limited	limited	ADJ
ajst-30378	142	23	spaces	space	NOUN
ajst-30378	142	24	and	and	CCONJ
ajst-30378	142	25	conditions	condition	NOUN
ajst-30378	142	26	.	.	PUNCT
ajst-30378	143	1	the	the	DET
ajst-30378	143	2	model	model	NOUN
ajst-30378	143	3	cleverly	cleverly	ADV
ajst-30378	143	4	transforms	transform	VERB
ajst-30378	143	5	the	the	DET
ajst-30378	143	6	curve	curve	NOUN
ajst-30378	143	7	optimization	optimization	NOUN
ajst-30378	143	8	problem	problem	NOUN
ajst-30378	143	9	into	into	ADP
ajst-30378	143	10	a	a	DET
ajst-30378	143	11	plane	plane	NOUN
ajst-30378	143	12	geometry	geometry	NOUN
ajst-30378	143	13	problem	problem	NOUN
ajst-30378	143	14	,	,	PUNCT
ajst-30378	143	15	using	use	VERB
ajst-30378	143	16	functional	functional	ADJ
ajst-30378	143	17	relationships	relationship	NOUN
ajst-30378	143	18	and	and	CCONJ
ajst-30378	143	19	reasonable	reasonable	ADJ
ajst-30378	143	20	assumptions	assumption	NOUN
ajst-30378	143	21	to	to	PART
ajst-30378	143	22	successfully	successfully	ADV
ajst-30378	143	23	represent	represent	VERB
ajst-30378	143	24	the	the	DET
ajst-30378	143	25	turning	turn	VERB
ajst-30378	143	26	curve	curve	NOUN
ajst-30378	143	27	.	.	PUNCT
ajst-30378	144	1	by	by	ADP
ajst-30378	144	2	employing	employ	VERB
ajst-30378	144	3	the	the	DET
ajst-30378	144	4	simulated	simulate	VERB
ajst-30378	144	5	annealing	anneal	VERB
ajst-30378	144	6	optimization	optimization	NOUN
ajst-30378	144	7	method	method	NOUN
ajst-30378	144	8	,	,	PUNCT
ajst-30378	144	9	the	the	DET
ajst-30378	144	10	model	model	NOUN
ajst-30378	144	11	solves	solve	VERB
ajst-30378	144	12	the	the	DET
ajst-30378	144	13	shortest	short	ADJ
ajst-30378	144	14	turning	turning	NOUN
ajst-30378	144	15	curve	curve	NOUN
ajst-30378	144	16	of	of	ADP
ajst-30378	144	17	the	the	DET
ajst-30378	144	18	bench	bench	NOUN
ajst-30378	144	19	dragon	dragon	NOUN
ajst-30378	144	20	under	under	ADP
ajst-30378	144	21	restrictive	restrictive	ADJ
ajst-30378	144	22	conditions	condition	NOUN
ajst-30378	144	23	,	,	PUNCT
ajst-30378	144	24	improving	improve	VERB
ajst-30378	144	25	the	the	DET
ajst-30378	144	26	precision	precision	NOUN
ajst-30378	144	27	of	of	ADP
ajst-30378	144	28	the	the	DET
ajst-30378	144	29	design	design	NOUN
ajst-30378	144	30	.	.	PUNCT
ajst-30378	145	1	the	the	DET
ajst-30378	145	2	model	model	NOUN
ajst-30378	145	3	can	can	AUX
ajst-30378	145	4	also	also	ADV
ajst-30378	145	5	provide	provide	VERB
ajst-30378	145	6	detailed	detailed	ADJ
ajst-30378	145	7	descriptions	description	NOUN
ajst-30378	145	8	of	of	ADP
ajst-30378	145	9	the	the	DET
ajst-30378	145	10	positions	position	NOUN
ajst-30378	145	11	and	and	CCONJ
ajst-30378	145	12	speeds	speed	NOUN
ajst-30378	145	13	of	of	ADP
ajst-30378	145	14	the	the	DET
ajst-30378	145	15	bench	bench	NOUN
ajst-30378	145	16	dragon	dragon	NOUN
ajst-30378	145	17	at	at	ADP
ajst-30378	145	18	every	every	DET
ajst-30378	145	19	second	second	NOUN
ajst-30378	145	20	from	from	ADP
ajst-30378	145	21	-100	-100	PROPN
ajst-30378	145	22	seconds	second	NOUN
ajst-30378	145	23	to	to	ADP
ajst-30378	145	24	100	100	NUM
ajst-30378	145	25	seconds	second	NOUN
ajst-30378	145	26	,	,	PUNCT
ajst-30378	145	27	further	far	ADV
ajst-30378	145	28	enhancing	enhance	VERB
ajst-30378	145	29	the	the	DET
ajst-30378	145	30	design	design	NOUN
ajst-30378	145	31	accuracy	accuracy	NOUN
ajst-30378	145	32	.	.	PUNCT
ajst-30378	146	1	the	the	DET
ajst-30378	146	2	shape	shape	NOUN
ajst-30378	146	3	of	of	ADP
ajst-30378	146	4	the	the	DET
ajst-30378	146	5	bench	bench	NOUN
ajst-30378	146	6	dragon	dragon	NOUN
ajst-30378	146	7	is	be	AUX
ajst-30378	146	8	simplified	simplify	VERB
ajst-30378	146	9	to	to	ADP
ajst-30378	146	10	line	line	NOUN
ajst-30378	146	11	segments	segment	NOUN
ajst-30378	146	12	or	or	CCONJ
ajst-30378	146	13	rectangles	rectangle	NOUN
ajst-30378	146	14	,	,	PUNCT
ajst-30378	146	15	ignoring	ignore	VERB
ajst-30378	146	16	more	more	ADV
ajst-30378	146	17	complex	complex	ADJ
ajst-30378	146	18	collision	collision	NOUN
ajst-30378	146	19	scenarios	scenario	NOUN
ajst-30378	146	20	such	such	ADJ
ajst-30378	146	21	as	as	ADP
ajst-30378	146	22	the	the	DET
ajst-30378	146	23	bending	bending	NOUN
ajst-30378	146	24	and	and	CCONJ
ajst-30378	146	25	deformation	deformation	NOUN
ajst-30378	146	26	of	of	ADP
ajst-30378	146	27	the	the	DET
ajst-30378	146	28	benches	bench	NOUN
ajst-30378	146	29	.	.	PUNCT
ajst-30378	147	1	in	in	ADP
ajst-30378	147	2	summary	summary	NOUN
ajst-30378	147	3	,	,	PUNCT
ajst-30378	147	4	the	the	DET
ajst-30378	147	5	model	model	NOUN
ajst-30378	147	6	demonstrates	demonstrate	VERB
ajst-30378	147	7	strong	strong	ADJ
ajst-30378	147	8	theoretical	theoretical	ADJ
ajst-30378	147	9	support	support	NOUN
ajst-30378	147	10	and	and	CCONJ
ajst-30378	147	11	practical	practical	ADJ
ajst-30378	147	12	value	value	NOUN
ajst-30378	147	13	in	in	ADP
ajst-30378	147	14	the	the	DET
ajst-30378	147	15	design	design	NOUN
ajst-30378	147	16	and	and	CCONJ
ajst-30378	147	17	optimization	optimization	NOUN
ajst-30378	147	18	of	of	ADP
ajst-30378	147	19	bench	bench	NOUN
ajst-30378	147	20	dragon	dragon	NOUN
ajst-30378	147	21	performances	performance	NOUN
ajst-30378	147	22	.	.	PUNCT
ajst-30378	148	1	especially	especially	ADV
ajst-30378	148	2	in	in	ADP
ajst-30378	148	3	areas	area	NOUN
ajst-30378	148	4	such	such	ADJ
ajst-30378	148	5	as	as	ADP
ajst-30378	148	6	motion	motion	NOUN
ajst-30378	148	7	and	and	CCONJ
ajst-30378	148	8	collision	collision	NOUN
ajst-30378	148	9	detection	detection	NOUN
ajst-30378	148	10	,	,	PUNCT
ajst-30378	148	11	pitch	pitch	NOUN
ajst-30378	148	12	optimization	optimization	NOUN
ajst-30378	148	13	,	,	PUNCT
ajst-30378	148	14	and	and	CCONJ
ajst-30378	148	15	turning	turn	VERB
ajst-30378	148	16	curve	curve	NOUN
ajst-30378	148	17	design	design	NOUN
ajst-30378	148	18	,	,	PUNCT
ajst-30378	148	19	it	it	PRON
ajst-30378	148	20	provides	provide	VERB
ajst-30378	148	21	precise	precise	ADJ
ajst-30378	148	22	and	and	CCONJ
ajst-30378	148	23	efficient	efficient	ADJ
ajst-30378	148	24	solutions	solution	NOUN
ajst-30378	148	25	.	.	PUNCT
ajst-30378	149	1	however	however	ADV
ajst-30378	149	2	,	,	PUNCT
ajst-30378	149	3	there	there	PRON
ajst-30378	149	4	is	be	VERB
ajst-30378	149	5	still	still	ADV
ajst-30378	149	6	room	room	NOUN
ajst-30378	149	7	for	for	SCONJ
ajst-30378	149	8	improvement	improvement	NOUN
ajst-30378	149	9	in	in	ADP
ajst-30378	149	10	handling	handle	VERB
ajst-30378	149	11	complex	complex	ADJ
ajst-30378	149	12	collisions	collision	NOUN
ajst-30378	149	13	and	and	CCONJ
ajst-30378	149	14	practical	practical	ADJ
ajst-30378	149	15	operational	operational	ADJ
ajst-30378	149	16	errors	error	NOUN
ajst-30378	149	17	to	to	PART
ajst-30378	149	18	better	well	ADV
ajst-30378	149	19	adapt	adapt	VERB
ajst-30378	149	20	to	to	ADP
ajst-30378	149	21	the	the	DET
ajst-30378	149	22	diverse	diverse	ADJ
ajst-30378	149	23	real	real	ADJ
ajst-30378	149	24	-	-	PUNCT
ajst-30378	149	25	world	world	NOUN
ajst-30378	149	26	performance	performance	NOUN
ajst-30378	149	27	scenarios	scenario	NOUN
ajst-30378	149	28	.	.	PUNCT
ajst-30378	150	1	references	reference	NOUN
ajst-30378	150	2	[	[	X
ajst-30378	150	3	1	1	NUM
ajst-30378	150	4	]	]	PUNCT
ajst-30378	150	5	pardalospm	pardalospm	NOUN
ajst-30378	150	6	,	,	PUNCT
ajst-30378	150	7	mavridoutd	mavridoutd	PROPN
ajst-30378	150	8	.	.	PUNCT
ajst-30378	151	1	simulated	simulate	VERB
ajst-30378	151	2	annealing	anneal	VERB
ajst-30378	151	3	[	[	X
ajst-30378	151	4	m	m	X
ajst-30378	151	5	]	]	X
ajst-30378	151	6	//encyclopedia	//encyclopedia	PUNCT
ajst-30378	151	7	of	of	ADP
ajst-30378	151	8	optimization	optimization	NOUN
ajst-30378	151	9	.	.	PUNCT
ajst-30378	152	1	cham	cham	PROPN
ajst-30378	152	2	:	:	PUNCT
ajst-30378	152	3	springer	springer	NOUN
ajst-30378	152	4	international	international	ADJ
ajst-30378	152	5	publishing	publishing	NOUN
ajst-30378	152	6	,	,	PUNCT
ajst-30378	152	7	2024	2024	NUM
ajst-30378	152	8	:	:	PUNCT
ajst-30378	152	9	1	1	NUM
ajst-30378	152	10	-	-	SYM
ajst-30378	152	11	3	3	NUM
ajst-30378	152	12	.	.	PUNCT
ajst-30378	153	1	[	[	X
ajst-30378	153	2	2	2	X
ajst-30378	153	3	]	]	PUNCT
ajst-30378	153	4	mahesh	mahesh	PROPN
ajst-30378	153	5	b.	b.	PROPN
ajst-30378	153	6	machine	machine	PROPN
ajst-30378	153	7	learning	learn	VERB
ajst-30378	153	8	algorithms	algorithm	NOUN
ajst-30378	153	9	-	-	PUNCT
ajst-30378	153	10	a	a	DET
ajst-30378	153	11	review[j	review[j	NOUN
ajst-30378	153	12	]	]	PUNCT
ajst-30378	153	13	.	.	PUNCT
ajst-30378	154	1	international	international	ADJ
ajst-30378	154	2	journal	journal	PROPN
ajst-30378	154	3	of	of	ADP
ajst-30378	154	4	science	science	NOUN
ajst-30378	154	5	and	and	CCONJ
ajst-30378	154	6	research	research	NOUN
ajst-30378	154	7	(	(	PUNCT
ajst-30378	154	8	ijsr).[internet	ijsr).[internet	NOUN
ajst-30378	154	9	]	]	X
ajst-30378	154	10	,	,	PUNCT
ajst-30378	154	11	2020	2020	NUM
ajst-30378	154	12	,	,	PUNCT
ajst-30378	154	13	9(1	9(1	NUM
ajst-30378	154	14	):	):	PUNCT
ajst-30378	154	15	381	381	NUM
ajst-30378	154	16	-	-	SYM
ajst-30378	154	17	386	386	NUM
ajst-30378	154	18	.	.	PUNCT
ajst-30378	155	1	[	[	X
ajst-30378	155	2	3	3	X
ajst-30378	155	3	]	]	X
ajst-30378	155	4	jordan	jordan	PROPN
ajst-30378	155	5	m	m	PROPN
ajst-30378	155	6	i	i	PROPN
ajst-30378	155	7	,	,	PUNCT
ajst-30378	155	8	mitchell	mitchell	PROPN
ajst-30378	155	9	t	t	PROPN
ajst-30378	155	10	m.	m.	NOUN
ajst-30378	155	11	machine	machine	NOUN
ajst-30378	155	12	learning	learning	PROPN
ajst-30378	155	13	:	:	PUNCT
ajst-30378	155	14	trends	trend	NOUN
ajst-30378	155	15	,	,	PUNCT
ajst-30378	155	16	perspectives	perspective	NOUN
ajst-30378	155	17	,	,	PUNCT
ajst-30378	155	18	and	and	CCONJ
ajst-30378	155	19	prospects[j	prospects[j	PROPN
ajst-30378	155	20	]	]	PUNCT
ajst-30378	155	21	.	.	PUNCT
ajst-30378	156	1	science	science	NOUN
ajst-30378	156	2	,	,	PUNCT
ajst-30378	156	3	2015	2015	NUM
ajst-30378	156	4	,	,	PUNCT
ajst-30378	156	5	349(6245	349(6245	NUM
ajst-30378	156	6	):	):	PUNCT
ajst-30378	156	7	255260	255260	NUM
ajst-30378	156	8	.	.	PUNCT
ajst-30378	157	1	[	[	X
ajst-30378	157	2	4	4	X
ajst-30378	157	3	]	]	X
ajst-30378	157	4	farooq	farooq	PROPN
ajst-30378	157	5	f	f	PROPN
ajst-30378	157	6	,	,	PUNCT
ajst-30378	157	7	ahmed	ahmed	PROPN
ajst-30378	157	8	w	w	PROPN
ajst-30378	157	9	,	,	PUNCT
ajst-30378	157	10	akbar	akbar	NOUN
ajst-30378	157	11	a	a	X
ajst-30378	157	12	,	,	PUNCT
ajst-30378	157	13	et	et	PROPN
ajst-30378	157	14	al	al	PROPN
ajst-30378	157	15	.	.	PROPN
ajst-30378	157	16	predictive	predictive	ADJ
ajst-30378	157	17	modeling	modeling	NOUN
ajst-30378	157	18	for	for	ADP
ajst-30378	157	19	sustainable	sustainable	ADJ
ajst-30378	157	20	high	high	ADJ
ajst-30378	157	21	-	-	PUNCT
ajst-30378	157	22	performance	performance	NOUN
ajst-30378	157	23	concrete	concrete	NOUN
ajst-30378	157	24	from	from	ADP
ajst-30378	157	25	industrial	industrial	ADJ
ajst-30378	157	26	wastes	waste	NOUN
ajst-30378	157	27	:	:	PUNCT
ajst-30378	157	28	a	a	DET
ajst-30378	157	29	comparison	comparison	NOUN
ajst-30378	157	30	and	and	CCONJ
ajst-30378	157	31	optimization	optimization	NOUN
ajst-30378	157	32	of	of	ADP
ajst-30378	157	33	models	model	NOUN
ajst-30378	157	34	using	use	VERB
ajst-30378	157	35	ensemble	ensemble	ADJ
ajst-30378	157	36	learners[j	learners[j	NOUN
ajst-30378	157	37	]	]	PUNCT
ajst-30378	157	38	.	.	PUNCT
ajst-30378	158	1	journal	journal	PROPN
ajst-30378	158	2	of	of	ADP
ajst-30378	158	3	cleaner	clean	ADJ
ajst-30378	158	4	production	production	NOUN
ajst-30378	158	5	,	,	PUNCT
ajst-30378	158	6	2021	2021	NUM
ajst-30378	158	7	,	,	PUNCT
ajst-30378	158	8	292	292	NUM
ajst-30378	158	9	:	:	SYM
ajst-30378	158	10	126032	126032	NUM
ajst-30378	158	11	.	.	PUNCT
ajst-30378	159	1	[	[	X
ajst-30378	159	2	5	5	X
ajst-30378	159	3	]	]	X
ajst-30378	159	4	abdullah	abdullah	PROPN
ajst-30378	159	5	d	d	PROPN
ajst-30378	159	6	m	m	PROPN
ajst-30378	159	7	,	,	PUNCT
ajst-30378	159	8	abdulazeez	abdulazeez	VERB
ajst-30378	159	9	a	a	DET
ajst-30378	159	10	m.	m.	NOUN
ajst-30378	159	11	machine	machine	NOUN
ajst-30378	159	12	learning	learning	NOUN
ajst-30378	159	13	applications	application	NOUN
ajst-30378	159	14	based	base	VERB
ajst-30378	159	15	on	on	ADP
ajst-30378	159	16	svm	svm	ADJ
ajst-30378	159	17	classification	classification	NOUN
ajst-30378	159	18	a	a	DET
ajst-30378	159	19	review[j	review[j	NOUN
ajst-30378	159	20	]	]	PUNCT
ajst-30378	159	21	.	.	PUNCT
ajst-30378	160	1	qubahan	qubahan	PROPN
ajst-30378	160	2	academic	academic	ADJ
ajst-30378	160	3	journal	journal	NOUN
ajst-30378	160	4	,	,	PUNCT
ajst-30378	160	5	2021	2021	NUM
ajst-30378	160	6	,	,	PUNCT
ajst-30378	160	7	1(2	1(2	NUM
ajst-30378	160	8	):	):	PUNCT
ajst-30378	160	9	81	81	NUM
ajst-30378	160	10	-	-	SYM
ajst-30378	160	11	90	90	NUM
ajst-30378	160	12	.	.	PUNCT
ajst-30378	161	1	[	[	X
ajst-30378	161	2	6	6	NUM
ajst-30378	161	3	]	]	PUNCT
ajst-30378	161	4	schonlau	schonlau	NOUN
ajst-30378	161	5	m	m	PROPN
ajst-30378	161	6	,	,	PUNCT
ajst-30378	161	7	zou	zou	PROPN
ajst-30378	161	8	r	r	NOUN
ajst-30378	161	9	y.	y.	NOUN
ajst-30378	161	10	the	the	DET
ajst-30378	161	11	random	random	ADJ
ajst-30378	161	12	forest	forest	NOUN
ajst-30378	161	13	algorithm	algorithm	NOUN
ajst-30378	161	14	for	for	ADP
ajst-30378	161	15	statistical	statistical	ADJ
ajst-30378	161	16	learning[j	learning[j	NOUN
ajst-30378	161	17	]	]	PUNCT
ajst-30378	161	18	.	.	PUNCT
ajst-30378	162	1	the	the	DET
ajst-30378	162	2	stata	stata	PROPN
ajst-30378	162	3	journal	journal	NOUN
ajst-30378	162	4	,	,	PUNCT
ajst-30378	162	5	2020	2020	NUM
ajst-30378	162	6	,	,	PUNCT
ajst-30378	162	7	20(1	20(1	NUM
ajst-30378	162	8	):	):	PUNCT
ajst-30378	162	9	3	3	NUM
ajst-30378	162	10	-	-	SYM
ajst-30378	162	11	29	29	NUM
ajst-30378	162	12	.	.	PUNCT
ajst-30378	163	1	[	[	X
ajst-30378	163	2	7	7	X
ajst-30378	163	3	]	]	X
ajst-30378	163	4	aghware	aghware	NOUN
ajst-30378	163	5	f	f	PROPN
ajst-30378	163	6	o	o	NOUN
ajst-30378	163	7	,	,	PUNCT
ajst-30378	163	8	ojugo	ojugo	VERB
ajst-30378	163	9	a	a	DET
ajst-30378	163	10	a	a	NOUN
ajst-30378	163	11	,	,	PUNCT
ajst-30378	163	12	adigwe	adigwe	PROPN
ajst-30378	163	13	w	w	PROPN
ajst-30378	163	14	,	,	PUNCT
ajst-30378	163	15	et	et	PROPN
ajst-30378	163	16	al	al	PROPN
ajst-30378	163	17	.	.	PUNCT
ajst-30378	164	1	enhancing	enhance	VERB
ajst-30378	164	2	the	the	DET
ajst-30378	164	3	random	random	ADJ
ajst-30378	164	4	forest	forest	NOUN
ajst-30378	164	5	model	model	NOUN
ajst-30378	164	6	via	via	ADP
ajst-30378	164	7	synthetic	synthetic	ADJ
ajst-30378	164	8	minority	minority	NOUN
ajst-30378	164	9	oversampling	oversample	VERB
ajst-30378	164	10	technique	technique	NOUN
ajst-30378	164	11	for	for	ADP
ajst-30378	164	12	credit	credit	NOUN
ajst-30378	164	13	-	-	PUNCT
ajst-30378	164	14	card	card	NOUN
ajst-30378	164	15	fraud	fraud	NOUN
ajst-30378	164	16	detection[j	detection[j	PROPN
ajst-30378	164	17	]	]	PUNCT
ajst-30378	164	18	.	.	PUNCT
ajst-30378	165	1	journal	journal	PROPN
ajst-30378	165	2	of	of	ADP
ajst-30378	165	3	computing	computing	NOUN
ajst-30378	165	4	theories	theory	NOUN
ajst-30378	165	5	and	and	CCONJ
ajst-30378	165	6	applications	application	NOUN
ajst-30378	165	7	,	,	PUNCT
ajst-30378	165	8	2024	2024	NUM
ajst-30378	165	9	,	,	PUNCT
ajst-30378	165	10	1(4	1(4	NUM
ajst-30378	165	11	):	):	PUNCT
ajst-30378	165	12	407	407	NUM
ajst-30378	165	13	-	-	SYM
ajst-30378	165	14	420	420	NUM
ajst-30378	165	15	.	.	PUNCT
ajst-30378	166	1	[	[	X
ajst-30378	166	2	8	8	NUM
ajst-30378	166	3	]	]	X
ajst-30378	166	4	qin	qin	NOUN
ajst-30378	166	5	x	x	PROPN
ajst-30378	166	6	,	,	PUNCT
ajst-30378	166	7	liu	liu	PROPN
ajst-30378	166	8	z	z	PROPN
ajst-30378	166	9	,	,	PUNCT
ajst-30378	166	10	liu	liu	PROPN
ajst-30378	166	11	y	y	PROPN
ajst-30378	166	12	,	,	PUNCT
ajst-30378	166	13	et	et	PROPN
ajst-30378	166	14	al	al	PROPN
ajst-30378	166	15	.	.	PROPN
ajst-30378	166	16	user	user	PROPN
ajst-30378	166	17	ocean	ocean	PROPN
ajst-30378	166	18	personality	personality	NOUN
ajst-30378	166	19	model	model	NOUN
ajst-30378	166	20	construction	construction	NOUN
ajst-30378	166	21	method	method	NOUN
ajst-30378	166	22	using	use	VERB
ajst-30378	166	23	a	a	DET
ajst-30378	166	24	bp	bp	PROPN
ajst-30378	166	25	neural	neural	ADJ
ajst-30378	166	26	network[j	network[j	PROPN
ajst-30378	166	27	]	]	PUNCT
ajst-30378	166	28	.	.	PUNCT
ajst-30378	167	1	electronics	electronic	NOUN
ajst-30378	167	2	,	,	PUNCT
ajst-30378	167	3	2022	2022	NUM
ajst-30378	167	4	,	,	PUNCT
ajst-30378	167	5	11(19	11(19	NUM
ajst-30378	167	6	):	):	PUNCT
ajst-30378	167	7	3022	3022	NUM
ajst-30378	167	8	.	.	PUNCT
ajst-30378	168	1	[	[	X
ajst-30378	168	2	9	9	NUM
ajst-30378	168	3	]	]	PUNCT
ajst-30378	168	4	gad	gad	NOUN
ajst-30378	168	5	a	a	DET
ajst-30378	168	6	g.	g.	PROPN
ajst-30378	168	7	particle	particle	NOUN
ajst-30378	168	8	swarm	swarm	NOUN
ajst-30378	168	9	optimization	optimization	NOUN
ajst-30378	168	10	algorithm	algorithm	NOUN
ajst-30378	168	11	and	and	CCONJ
ajst-30378	168	12	its	its	PRON
ajst-30378	168	13	applications	application	NOUN
ajst-30378	168	14	:	:	PUNCT
ajst-30378	168	15	a	a	DET
ajst-30378	168	16	systematic	systematic	ADJ
ajst-30378	168	17	review[j	review[j	PROPN
ajst-30378	168	18	]	]	PUNCT
ajst-30378	168	19	.	.	PUNCT
ajst-30378	169	1	archives	archive	NOUN
ajst-30378	169	2	of	of	ADP
ajst-30378	169	3	computational	computational	ADJ
ajst-30378	169	4	methods	method	NOUN
ajst-30378	169	5	in	in	ADP
ajst-30378	169	6	engineering	engineering	NOUN
ajst-30378	169	7	,	,	PUNCT
ajst-30378	169	8	2022	2022	NUM
ajst-30378	169	9	,	,	PUNCT
ajst-30378	169	10	29(5	29(5	NUM
ajst-30378	169	11	):	):	PUNCT
ajst-30378	169	12	2531	2531	NUM
ajst-30378	169	13	-	-	SYM
ajst-30378	169	14	2561	2561	NUM
ajst-30378	169	15	.	.	PUNCT
ajst-30378	170	1	[	[	X
ajst-30378	170	2	10	10	NUM
ajst-30378	170	3	]	]	X
ajst-30378	170	4	tan	tan	PROPN
ajst-30378	170	5	y	y	PROPN
ajst-30378	170	6	,	,	PUNCT
ajst-30378	170	7	ouyang	ouyang	PROPN
ajst-30378	170	8	j	j	PROPN
ajst-30378	170	9	,	,	PUNCT
ajst-30378	170	10	zhang	zhang	PROPN
ajst-30378	170	11	z	z	PROPN
ajst-30378	170	12	,	,	PUNCT
ajst-30378	170	13	et	et	PROPN
ajst-30378	170	14	al	al	PROPN
ajst-30378	170	15	.	.	PROPN
ajst-30378	170	16	path	path	PROPN
ajst-30378	170	17	planning	planning	NOUN
ajst-30378	170	18	for	for	ADP
ajst-30378	170	19	spot	spot	NOUN
ajst-30378	170	20	welding	welding	NOUN
ajst-30378	170	21	robots	robot	NOUN
ajst-30378	170	22	based	base	VERB
ajst-30378	170	23	on	on	ADP
ajst-30378	170	24	improved	improve	VERB
ajst-30378	170	25	ant	ant	ADJ
ajst-30378	170	26	colony	colony	NOUN
ajst-30378	170	27	algorithm[j	algorithm[j	PROPN
ajst-30378	170	28	]	]	PUNCT
ajst-30378	170	29	.	.	PUNCT
ajst-30378	171	1	robotica	robotica	PROPN
ajst-30378	171	2	,	,	PUNCT
ajst-30378	171	3	2023	2023	NUM
ajst-30378	171	4	,	,	PUNCT
ajst-30378	171	5	41(3	41(3	NUM
ajst-30378	171	6	):	):	PUNCT
ajst-30378	171	7	926	926	NUM
ajst-30378	171	8	-	-	SYM
ajst-30378	171	9	938	938	NUM
ajst-30378	171	10	.	.	PUNCT
ajst-30378	172	1	[	[	X
ajst-30378	172	2	11	11	NUM
ajst-30378	172	3	]	]	X
ajst-30378	172	4	harbola	harbola	PROPN
ajst-30378	172	5	s	s	PROPN
ajst-30378	172	6	,	,	PUNCT
ajst-30378	172	7	coors	coor	NOUN
ajst-30378	172	8	v.	v.	ADP
ajst-30378	172	9	one	one	NUM
ajst-30378	172	10	dimensional	dimensional	ADJ
ajst-30378	172	11	convolutional	convolutional	ADJ
ajst-30378	172	12	neural	neural	ADJ
ajst-30378	172	13	network	network	NOUN
ajst-30378	172	14	architectures	architecture	NOUN
ajst-30378	172	15	for	for	ADP
ajst-30378	172	16	wind	wind	NOUN
ajst-30378	172	17	prediction[j	prediction[j	PROPN
ajst-30378	172	18	]	]	PUNCT
ajst-30378	172	19	.	.	PUNCT
ajst-30378	173	1	energy	energy	NOUN
ajst-30378	173	2	conversion	conversion	NOUN
ajst-30378	173	3	and	and	CCONJ
ajst-30378	173	4	management	management	NOUN
ajst-30378	173	5	,	,	PUNCT
ajst-30378	173	6	2019	2019	NUM
ajst-30378	173	7	,	,	PUNCT
ajst-30378	173	8	195	195	NUM
ajst-30378	173	9	:	:	SYM
ajst-30378	173	10	70	70	NUM
ajst-30378	173	11	-	-	SYM
ajst-30378	173	12	75	75	NUM
ajst-30378	173	13	.	.	PUNCT
ajst-30378	174	1	[	[	X
ajst-30378	174	2	12	12	NUM
ajst-30378	174	3	]	]	PUNCT
ajst-30378	174	4	yu	yu	PROPN
ajst-30378	174	5	j	j	PROPN
ajst-30378	174	6	,	,	PUNCT
ajst-30378	174	7	xu	xu	PROPN
ajst-30378	174	8	y	y	PROPN
ajst-30378	174	9	,	,	PUNCT
ajst-30378	174	10	koh	koh	PROPN
ajst-30378	174	11	j	j	PROPN
ajst-30378	174	12	y	y	PROPN
ajst-30378	174	13	,	,	PUNCT
ajst-30378	174	14	et	et	PROPN
ajst-30378	174	15	al	al	PROPN
ajst-30378	174	16	.	.	PUNCT
ajst-30378	175	1	scaling	scale	VERB
ajst-30378	175	2	autoregressive	autoregressive	ADJ
ajst-30378	175	3	models	model	NOUN
ajst-30378	175	4	for	for	ADP
ajst-30378	175	5	content	content	NOUN
ajst-30378	175	6	-	-	PUNCT
ajst-30378	175	7	rich	rich	ADJ
ajst-30378	175	8	text	text	NOUN
ajst-30378	175	9	-	-	PUNCT
ajst-30378	175	10	to	to	ADP
ajst-30378	175	11	-	-	PUNCT
ajst-30378	175	12	image	image	NOUN
ajst-30378	175	13	generation[j	generation[j	NOUN
ajst-30378	175	14	]	]	X
ajst-30378	175	15	.	.	PUNCT
ajst-30378	176	1	arxiv	arxiv	PROPN
ajst-30378	176	2	preprint	preprint	VERB
ajst-30378	176	3	arxiv:2206.10789	arxiv:2206.10789	ADV
ajst-30378	176	4	,	,	PUNCT
ajst-30378	176	5	2022	2022	NUM
ajst-30378	176	6	,	,	PUNCT
ajst-30378	176	7	2(3	2(3	NUM
ajst-30378	176	8	):	):	PUNCT
ajst-30378	176	9	5	5	NUM
ajst-30378	176	10	.	.	PUNCT
ajst-30378	177	1	[	[	X
ajst-30378	177	2	13	13	NUM
ajst-30378	177	3	]	]	SYM
ajst-30378	177	4	li	li	PROPN
ajst-30378	177	5	k	k	PROPN
ajst-30378	177	6	,	,	PUNCT
ajst-30378	177	7	li	li	PROPN
ajst-30378	177	8	x	x	PROPN
ajst-30378	177	9	,	,	PUNCT
ajst-30378	177	10	wang	wang	PROPN
ajst-30378	177	11	y	y	PROPN
ajst-30378	177	12	,	,	PUNCT
ajst-30378	177	13	et	et	PROPN
ajst-30378	177	14	al	al	PROPN
ajst-30378	177	15	.	.	PUNCT
ajst-30378	177	16	videomamba	videomamba	ADJ
ajst-30378	177	17	:	:	PUNCT
ajst-30378	177	18	state	state	NOUN
ajst-30378	177	19	space	space	NOUN
ajst-30378	177	20	model	model	NOUN
ajst-30378	177	21	for	for	ADP
ajst-30378	177	22	efficient	efficient	ADJ
ajst-30378	177	23	video	video	NOUN
ajst-30378	177	24	understanding[c]//european	understanding[c]//european	ADJ
ajst-30378	177	25	conference	conference	NOUN
ajst-30378	177	26	on	on	ADP
ajst-30378	177	27	computer	computer	NOUN
ajst-30378	177	28	vision	vision	NOUN
ajst-30378	177	29	.	.	PUNCT
ajst-30378	178	1	springer	springer	NOUN
ajst-30378	178	2	,	,	PUNCT
ajst-30378	178	3	cham	cham	PROPN
ajst-30378	178	4	,	,	PUNCT
ajst-30378	178	5	2025	2025	NUM
ajst-30378	178	6	:	:	PUNCT
ajst-30378	178	7	237	237	NUM
ajst-30378	178	8	-	-	SYM
ajst-30378	178	9	255	255	NUM
ajst-30378	178	10	.	.	PUNCT
ajst-30378	179	1	[	[	X
ajst-30378	179	2	14	14	NUM
ajst-30378	179	3	]	]	X
ajst-30378	179	4	abdel	abdel	NOUN
ajst-30378	179	5	-	-	PUNCT
ajst-30378	179	6	basset	basset	NOUN
ajst-30378	179	7	m	m	PROPN
ajst-30378	179	8	,	,	PUNCT
ajst-30378	179	9	mohamed	mohamed	PROPN
ajst-30378	179	10	r	r	PROPN
ajst-30378	179	11	,	,	PUNCT
ajst-30378	179	12	jameel	jameel	PROPN
ajst-30378	179	13	m	m	PROPN
ajst-30378	179	14	,	,	PUNCT
ajst-30378	179	15	et	et	PROPN
ajst-30378	179	16	al	al	PROPN
ajst-30378	179	17	.	.	PROPN
ajst-30378	179	18	nutcracker	nutcracker	PROPN
ajst-30378	179	19	optimizer	optimizer	NOUN
ajst-30378	179	20	:	:	PUNCT
ajst-30378	179	21	a	a	DET
ajst-30378	179	22	novel	novel	ADJ
ajst-30378	179	23	nature	nature	NOUN
ajst-30378	179	24	-	-	PUNCT
ajst-30378	179	25	inspired	inspire	VERB
ajst-30378	179	26	metaheuristic	metaheuristic	ADJ
ajst-30378	179	27	algorithm	algorithm	NOUN
ajst-30378	179	28	for	for	ADP
ajst-30378	179	29	global	global	ADJ
ajst-30378	179	30	optimization	optimization	NOUN
ajst-30378	179	31	and	and	CCONJ
ajst-30378	179	32	engineering	engineering	NOUN
ajst-30378	179	33	design	design	NOUN
ajst-30378	179	34	problems[j	problems[j	NOUN
ajst-30378	179	35	]	]	PUNCT
ajst-30378	179	36	.	.	PUNCT
ajst-30378	180	1	knowledge	knowledge	NOUN
ajst-30378	180	2	-	-	PUNCT
ajst-30378	180	3	based	base	VERB
ajst-30378	180	4	systems	system	NOUN
ajst-30378	180	5	,	,	PUNCT
ajst-30378	180	6	2023	2023	NUM
ajst-30378	180	7	,	,	PUNCT
ajst-30378	180	8	262	262	NUM
ajst-30378	180	9	:	:	SYM
ajst-30378	180	10	110248	110248	NUM
ajst-30378	180	11	.	.	PUNCT
ajst-30378	181	1	[	[	X
ajst-30378	181	2	15	15	NUM
ajst-30378	181	3	]	]	X
ajst-30378	181	4	abdel	abdel	NOUN
ajst-30378	181	5	-	-	PUNCT
ajst-30378	181	6	basset	basset	NOUN
ajst-30378	181	7	m	m	PROPN
ajst-30378	181	8	,	,	PUNCT
ajst-30378	181	9	mohamed	mohamed	PROPN
ajst-30378	181	10	r	r	PROPN
ajst-30378	181	11	,	,	PUNCT
ajst-30378	181	12	sallam	sallam	NOUN
ajst-30378	181	13	km	km	PROPN
ajst-30378	181	14	,	,	PUNCT
ajst-30378	181	15	chakrabortty	chakrabortty	PROPN
ajst-30378	181	16	rk	rk	NOUN
ajst-30378	181	17	.	.	PUNCT
ajst-30378	182	1	light	light	ADJ
ajst-30378	182	2	spectrum	spectrum	NOUN
ajst-30378	182	3	optimizer	optimizer	NOUN
ajst-30378	182	4	:	:	PUNCT
ajst-30378	182	5	a	a	DET
ajst-30378	182	6	novel	novel	ADJ
ajst-30378	182	7	physics	physics	NOUN
ajst-30378	182	8	-	-	PUNCT
ajst-30378	182	9	inspired	inspire	VERB
ajst-30378	182	10	metaheuristic	metaheuristic	ADJ
ajst-30378	182	11	optimization	optimization	NOUN
ajst-30378	182	12	algorithm	algorithm	NOUN
ajst-30378	182	13	.	.	PUNCT
ajst-30378	183	1	mathematics	mathematic	NOUN
ajst-30378	183	2	.	.	PUNCT
ajst-30378	184	1	2022	2022	NUM
ajst-30378	184	2	,	,	PUNCT
ajst-30378	184	3	10(19	10(19	NUM
ajst-30378	184	4	):	):	PUNCT
ajst-30378	184	5	3466	3466	NUM
ajst-30378	184	6	.	.	PUNCT
ajst-30378	185	1	[	[	X
ajst-30378	185	2	16	16	NUM
ajst-30378	185	3	]	]	X
ajst-30378	185	4	abdel	abdel	NOUN
ajst-30378	185	5	-	-	PUNCT
ajst-30378	185	6	basset	basset	NOUN
ajst-30378	185	7	m	m	PROPN
ajst-30378	185	8	,	,	PUNCT
ajst-30378	185	9	mohamed	mohamed	PROPN
ajst-30378	185	10	r	r	PROPN
ajst-30378	185	11	,	,	PUNCT
ajst-30378	185	12	jameel	jameel	PROPN
ajst-30378	185	13	m	m	PROPN
ajst-30378	185	14	,	,	PUNCT
ajst-30378	185	15	et	et	PROPN
ajst-30378	185	16	al	al	PROPN
ajst-30378	185	17	.	.	PROPN
ajst-30378	185	18	spider	spider	PROPN
ajst-30378	185	19	wasp	wasp	NOUN
ajst-30378	185	20	optimizer	optimizer	NOUN
ajst-30378	185	21	:	:	PUNCT
ajst-30378	185	22	a	a	DET
ajst-30378	185	23	novel	novel	ADJ
ajst-30378	185	24	meta	meta	ADJ
ajst-30378	185	25	-	-	PUNCT
ajst-30378	185	26	heuristic	heuristic	ADJ
ajst-30378	185	27	optimization	optimization	NOUN
ajst-30378	185	28	algorithm[j	algorithm[j	PROPN
ajst-30378	185	29	]	]	PUNCT
ajst-30378	185	30	.	.	PUNCT
ajst-30378	186	1	artificial	artificial	ADJ
ajst-30378	186	2	intelligence	intelligence	NOUN
ajst-30378	186	3	review	review	NOUN
ajst-30378	186	4	,	,	PUNCT
ajst-30378	186	5	2023	2023	NUM
ajst-30378	186	6	,	,	PUNCT
ajst-30378	186	7	56(10	56(10	NUM
ajst-30378	186	8	):	):	PUNCT
ajst-30378	186	9	11675	11675	NUM
ajst-30378	186	10	-	-	SYM
ajst-30378	186	11	11738	11738	NUM
ajst-30378	186	12	.	.	PUNCT
ajst-30378	187	1	[	[	X
ajst-30378	187	2	17	17	NUM
ajst-30378	187	3	]	]	X
ajst-30378	187	4	azizi	azizi	PROPN
ajst-30378	187	5	m	m	PROPN
ajst-30378	187	6	,	,	PUNCT
ajst-30378	187	7	aickelin	aickelin	PROPN
ajst-30378	187	8	u	u	PROPN
ajst-30378	187	9	,	,	PUNCT
ajst-30378	187	10	a.	a.	PROPN
ajst-30378	187	11	khorshidi	khorshidi	PROPN
ajst-30378	187	12	h	h	PROPN
ajst-30378	187	13	,	,	PUNCT
ajst-30378	187	14	et	et	PROPN
ajst-30378	187	15	al	al	PROPN
ajst-30378	187	16	.	.	PROPN
ajst-30378	187	17	energy	energy	PROPN
ajst-30378	187	18	valley	valley	NOUN
ajst-30378	187	19	optimizer	optimizer	NOUN
ajst-30378	187	20	:	:	PUNCT
ajst-30378	187	21	a	a	DET
ajst-30378	187	22	novel	novel	ADJ
ajst-30378	187	23	metaheuristic	metaheuristic	ADJ
ajst-30378	187	24	algorithm	algorithm	NOUN
ajst-30378	187	25	for	for	ADP
ajst-30378	187	26	global	global	ADJ
ajst-30378	187	27	and	and	CCONJ
ajst-30378	187	28	engineering	engineering	NOUN
ajst-30378	187	29	optimization[j	optimization[j	PROPN
ajst-30378	187	30	]	]	PUNCT
ajst-30378	187	31	.	.	PUNCT
ajst-30378	188	1	scientific	scientific	ADJ
ajst-30378	188	2	reports	report	NOUN
ajst-30378	188	3	,	,	PUNCT
ajst-30378	188	4	2023	2023	NUM
ajst-30378	188	5	,	,	PUNCT
ajst-30378	188	6	13(1	13(1	NUM
ajst-30378	188	7	):	):	PUNCT
ajst-30378	188	8	226	226	NUM
ajst-30378	188	9	.	.	PUNCT