A Track Initiation Algorithm Using Residual Threshold for Shore-Based Radar in Heavy Clutter Environments

There is a large error in the actual radar trajectory tracking process. Track initiation is the primary problem in trajectory tracking and the first step in target tracking. The current track initiation algorithms are greatly affected by heavy clutter environments, so it is necessary to propose an a...
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Autor*in:	Yaru Zhang [verfasserIn] Aichao Liu [verfasserIn] Chao Liu [verfasserIn] Bo Ai [verfasserIn] Xiao Zhang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	track initiation logic algorithm correlation window residual threshold Automatic Identification System (AIS)

Übergeordnetes Werk:	In: Journal of Marine Science and Engineering - MDPI AG, 2014, 8(2020), 8, p 614
Übergeordnetes Werk:	volume:8 ; year:2020 ; number:8, p 614

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/jmse8080614

Katalog-ID:	DOAJ015179001

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520			\|a There is a large error in the actual radar trajectory tracking process. Track initiation is the primary problem in trajectory tracking and the first step in target tracking. The current track initiation algorithms are greatly affected by heavy clutter environments, so it is necessary to propose an algorithm to solve the problem of low track initiation efficiency. This paper presents a track initiation algorithm using a residual threshold in heavy clutter environments. The falling probability of measured value and decision threshold are used to determine the correlation window. The angle limiting condition is added to establish the track association, and the residual threshold is used to further eliminate the false tracks. The initial track experiment with the trajectory data in the sea near Rizhao Port shows that the algorithm is superior to the traditional logic method and Kalman filter method in track quality. The experiment uses the AIS buffer zone to calculate track initiation probability and uses the multi-region AIS trajectory data for verification. The experimental result shows that track initiation probability with the proposed algorithm in this paper can reach 92.31%.
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allfields	10.3390/jmse8080614 doi (DE-627)DOAJ015179001 (DE-599)DOAJ99091f361e554e83b80501a58f06028f DE-627 ger DE-627 rakwb eng VM1-989 GC1-1581 Yaru Zhang verfasserin aut A Track Initiation Algorithm Using Residual Threshold for Shore-Based Radar in Heavy Clutter Environments 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier There is a large error in the actual radar trajectory tracking process. Track initiation is the primary problem in trajectory tracking and the first step in target tracking. The current track initiation algorithms are greatly affected by heavy clutter environments, so it is necessary to propose an algorithm to solve the problem of low track initiation efficiency. This paper presents a track initiation algorithm using a residual threshold in heavy clutter environments. The falling probability of measured value and decision threshold are used to determine the correlation window. The angle limiting condition is added to establish the track association, and the residual threshold is used to further eliminate the false tracks. The initial track experiment with the trajectory data in the sea near Rizhao Port shows that the algorithm is superior to the traditional logic method and Kalman filter method in track quality. The experiment uses the AIS buffer zone to calculate track initiation probability and uses the multi-region AIS trajectory data for verification. The experimental result shows that track initiation probability with the proposed algorithm in this paper can reach 92.31%. track initiation logic algorithm correlation window residual threshold Automatic Identification System (AIS) Naval architecture. Shipbuilding. Marine engineering Oceanography Aichao Liu verfasserin aut Chao Liu verfasserin aut Bo Ai verfasserin aut Xiao Zhang verfasserin aut In Journal of Marine Science and Engineering MDPI AG, 2014 8(2020), 8, p 614 (DE-627)771274181 (DE-600)2738390-8 20771312 nnns volume:8 year:2020 number:8, p 614 https://doi.org/10.3390/jmse8080614 kostenfrei https://doaj.org/article/99091f361e554e83b80501a58f06028f kostenfrei https://www.mdpi.com/2077-1312/8/8/614 kostenfrei https://doaj.org/toc/2077-1312 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2020 8, p 614
spelling	10.3390/jmse8080614 doi (DE-627)DOAJ015179001 (DE-599)DOAJ99091f361e554e83b80501a58f06028f DE-627 ger DE-627 rakwb eng VM1-989 GC1-1581 Yaru Zhang verfasserin aut A Track Initiation Algorithm Using Residual Threshold for Shore-Based Radar in Heavy Clutter Environments 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier There is a large error in the actual radar trajectory tracking process. Track initiation is the primary problem in trajectory tracking and the first step in target tracking. The current track initiation algorithms are greatly affected by heavy clutter environments, so it is necessary to propose an algorithm to solve the problem of low track initiation efficiency. This paper presents a track initiation algorithm using a residual threshold in heavy clutter environments. The falling probability of measured value and decision threshold are used to determine the correlation window. The angle limiting condition is added to establish the track association, and the residual threshold is used to further eliminate the false tracks. The initial track experiment with the trajectory data in the sea near Rizhao Port shows that the algorithm is superior to the traditional logic method and Kalman filter method in track quality. The experiment uses the AIS buffer zone to calculate track initiation probability and uses the multi-region AIS trajectory data for verification. The experimental result shows that track initiation probability with the proposed algorithm in this paper can reach 92.31%. track initiation logic algorithm correlation window residual threshold Automatic Identification System (AIS) Naval architecture. Shipbuilding. Marine engineering Oceanography Aichao Liu verfasserin aut Chao Liu verfasserin aut Bo Ai verfasserin aut Xiao Zhang verfasserin aut In Journal of Marine Science and Engineering MDPI AG, 2014 8(2020), 8, p 614 (DE-627)771274181 (DE-600)2738390-8 20771312 nnns volume:8 year:2020 number:8, p 614 https://doi.org/10.3390/jmse8080614 kostenfrei https://doaj.org/article/99091f361e554e83b80501a58f06028f kostenfrei https://www.mdpi.com/2077-1312/8/8/614 kostenfrei https://doaj.org/toc/2077-1312 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2020 8, p 614
allfields_unstemmed	10.3390/jmse8080614 doi (DE-627)DOAJ015179001 (DE-599)DOAJ99091f361e554e83b80501a58f06028f DE-627 ger DE-627 rakwb eng VM1-989 GC1-1581 Yaru Zhang verfasserin aut A Track Initiation Algorithm Using Residual Threshold for Shore-Based Radar in Heavy Clutter Environments 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier There is a large error in the actual radar trajectory tracking process. Track initiation is the primary problem in trajectory tracking and the first step in target tracking. The current track initiation algorithms are greatly affected by heavy clutter environments, so it is necessary to propose an algorithm to solve the problem of low track initiation efficiency. This paper presents a track initiation algorithm using a residual threshold in heavy clutter environments. The falling probability of measured value and decision threshold are used to determine the correlation window. The angle limiting condition is added to establish the track association, and the residual threshold is used to further eliminate the false tracks. The initial track experiment with the trajectory data in the sea near Rizhao Port shows that the algorithm is superior to the traditional logic method and Kalman filter method in track quality. The experiment uses the AIS buffer zone to calculate track initiation probability and uses the multi-region AIS trajectory data for verification. The experimental result shows that track initiation probability with the proposed algorithm in this paper can reach 92.31%. track initiation logic algorithm correlation window residual threshold Automatic Identification System (AIS) Naval architecture. Shipbuilding. Marine engineering Oceanography Aichao Liu verfasserin aut Chao Liu verfasserin aut Bo Ai verfasserin aut Xiao Zhang verfasserin aut In Journal of Marine Science and Engineering MDPI AG, 2014 8(2020), 8, p 614 (DE-627)771274181 (DE-600)2738390-8 20771312 nnns volume:8 year:2020 number:8, p 614 https://doi.org/10.3390/jmse8080614 kostenfrei https://doaj.org/article/99091f361e554e83b80501a58f06028f kostenfrei https://www.mdpi.com/2077-1312/8/8/614 kostenfrei https://doaj.org/toc/2077-1312 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2020 8, p 614
allfieldsGer	10.3390/jmse8080614 doi (DE-627)DOAJ015179001 (DE-599)DOAJ99091f361e554e83b80501a58f06028f DE-627 ger DE-627 rakwb eng VM1-989 GC1-1581 Yaru Zhang verfasserin aut A Track Initiation Algorithm Using Residual Threshold for Shore-Based Radar in Heavy Clutter Environments 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier There is a large error in the actual radar trajectory tracking process. Track initiation is the primary problem in trajectory tracking and the first step in target tracking. The current track initiation algorithms are greatly affected by heavy clutter environments, so it is necessary to propose an algorithm to solve the problem of low track initiation efficiency. This paper presents a track initiation algorithm using a residual threshold in heavy clutter environments. The falling probability of measured value and decision threshold are used to determine the correlation window. The angle limiting condition is added to establish the track association, and the residual threshold is used to further eliminate the false tracks. The initial track experiment with the trajectory data in the sea near Rizhao Port shows that the algorithm is superior to the traditional logic method and Kalman filter method in track quality. The experiment uses the AIS buffer zone to calculate track initiation probability and uses the multi-region AIS trajectory data for verification. The experimental result shows that track initiation probability with the proposed algorithm in this paper can reach 92.31%. track initiation logic algorithm correlation window residual threshold Automatic Identification System (AIS) Naval architecture. Shipbuilding. Marine engineering Oceanography Aichao Liu verfasserin aut Chao Liu verfasserin aut Bo Ai verfasserin aut Xiao Zhang verfasserin aut In Journal of Marine Science and Engineering MDPI AG, 2014 8(2020), 8, p 614 (DE-627)771274181 (DE-600)2738390-8 20771312 nnns volume:8 year:2020 number:8, p 614 https://doi.org/10.3390/jmse8080614 kostenfrei https://doaj.org/article/99091f361e554e83b80501a58f06028f kostenfrei https://www.mdpi.com/2077-1312/8/8/614 kostenfrei https://doaj.org/toc/2077-1312 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2020 8, p 614
allfieldsSound	10.3390/jmse8080614 doi (DE-627)DOAJ015179001 (DE-599)DOAJ99091f361e554e83b80501a58f06028f DE-627 ger DE-627 rakwb eng VM1-989 GC1-1581 Yaru Zhang verfasserin aut A Track Initiation Algorithm Using Residual Threshold for Shore-Based Radar in Heavy Clutter Environments 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier There is a large error in the actual radar trajectory tracking process. Track initiation is the primary problem in trajectory tracking and the first step in target tracking. The current track initiation algorithms are greatly affected by heavy clutter environments, so it is necessary to propose an algorithm to solve the problem of low track initiation efficiency. This paper presents a track initiation algorithm using a residual threshold in heavy clutter environments. The falling probability of measured value and decision threshold are used to determine the correlation window. The angle limiting condition is added to establish the track association, and the residual threshold is used to further eliminate the false tracks. The initial track experiment with the trajectory data in the sea near Rizhao Port shows that the algorithm is superior to the traditional logic method and Kalman filter method in track quality. The experiment uses the AIS buffer zone to calculate track initiation probability and uses the multi-region AIS trajectory data for verification. The experimental result shows that track initiation probability with the proposed algorithm in this paper can reach 92.31%. track initiation logic algorithm correlation window residual threshold Automatic Identification System (AIS) Naval architecture. Shipbuilding. Marine engineering Oceanography Aichao Liu verfasserin aut Chao Liu verfasserin aut Bo Ai verfasserin aut Xiao Zhang verfasserin aut In Journal of Marine Science and Engineering MDPI AG, 2014 8(2020), 8, p 614 (DE-627)771274181 (DE-600)2738390-8 20771312 nnns volume:8 year:2020 number:8, p 614 https://doi.org/10.3390/jmse8080614 kostenfrei https://doaj.org/article/99091f361e554e83b80501a58f06028f kostenfrei https://www.mdpi.com/2077-1312/8/8/614 kostenfrei https://doaj.org/toc/2077-1312 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2020 8, p 614
language	English
source	In Journal of Marine Science and Engineering 8(2020), 8, p 614 volume:8 year:2020 number:8, p 614
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institution	findex.gbv.de
topic_facet	track initiation logic algorithm correlation window residual threshold Automatic Identification System (AIS) Naval architecture. Shipbuilding. Marine engineering Oceanography
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container_title	Journal of Marine Science and Engineering
authorswithroles_txt_mv	Yaru Zhang @@aut@@ Aichao Liu @@aut@@ Chao Liu @@aut@@ Bo Ai @@aut@@ Xiao Zhang @@aut@@
publishDateDaySort_date	2020-01-01T00:00:00Z
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callnumber-first	V - Naval Science
author	Yaru Zhang
spellingShingle	Yaru Zhang misc VM1-989 misc GC1-1581 misc track initiation misc logic algorithm misc correlation window misc residual threshold misc Automatic Identification System (AIS) misc Naval architecture. Shipbuilding. Marine engineering misc Oceanography A Track Initiation Algorithm Using Residual Threshold for Shore-Based Radar in Heavy Clutter Environments
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topic_title	VM1-989 GC1-1581 A Track Initiation Algorithm Using Residual Threshold for Shore-Based Radar in Heavy Clutter Environments track initiation logic algorithm correlation window residual threshold Automatic Identification System (AIS)
topic	misc VM1-989 misc GC1-1581 misc track initiation misc logic algorithm misc correlation window misc residual threshold misc Automatic Identification System (AIS) misc Naval architecture. Shipbuilding. Marine engineering misc Oceanography
topic_unstemmed	misc VM1-989 misc GC1-1581 misc track initiation misc logic algorithm misc correlation window misc residual threshold misc Automatic Identification System (AIS) misc Naval architecture. Shipbuilding. Marine engineering misc Oceanography
topic_browse	misc VM1-989 misc GC1-1581 misc track initiation misc logic algorithm misc correlation window misc residual threshold misc Automatic Identification System (AIS) misc Naval architecture. Shipbuilding. Marine engineering misc Oceanography
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
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title	A Track Initiation Algorithm Using Residual Threshold for Shore-Based Radar in Heavy Clutter Environments
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title_full	A Track Initiation Algorithm Using Residual Threshold for Shore-Based Radar in Heavy Clutter Environments
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title_sort	track initiation algorithm using residual threshold for shore-based radar in heavy clutter environments
callnumber	VM1-989
title_auth	A Track Initiation Algorithm Using Residual Threshold for Shore-Based Radar in Heavy Clutter Environments
abstract	There is a large error in the actual radar trajectory tracking process. Track initiation is the primary problem in trajectory tracking and the first step in target tracking. The current track initiation algorithms are greatly affected by heavy clutter environments, so it is necessary to propose an algorithm to solve the problem of low track initiation efficiency. This paper presents a track initiation algorithm using a residual threshold in heavy clutter environments. The falling probability of measured value and decision threshold are used to determine the correlation window. The angle limiting condition is added to establish the track association, and the residual threshold is used to further eliminate the false tracks. The initial track experiment with the trajectory data in the sea near Rizhao Port shows that the algorithm is superior to the traditional logic method and Kalman filter method in track quality. The experiment uses the AIS buffer zone to calculate track initiation probability and uses the multi-region AIS trajectory data for verification. The experimental result shows that track initiation probability with the proposed algorithm in this paper can reach 92.31%.
abstractGer	There is a large error in the actual radar trajectory tracking process. Track initiation is the primary problem in trajectory tracking and the first step in target tracking. The current track initiation algorithms are greatly affected by heavy clutter environments, so it is necessary to propose an algorithm to solve the problem of low track initiation efficiency. This paper presents a track initiation algorithm using a residual threshold in heavy clutter environments. The falling probability of measured value and decision threshold are used to determine the correlation window. The angle limiting condition is added to establish the track association, and the residual threshold is used to further eliminate the false tracks. The initial track experiment with the trajectory data in the sea near Rizhao Port shows that the algorithm is superior to the traditional logic method and Kalman filter method in track quality. The experiment uses the AIS buffer zone to calculate track initiation probability and uses the multi-region AIS trajectory data for verification. The experimental result shows that track initiation probability with the proposed algorithm in this paper can reach 92.31%.
abstract_unstemmed	There is a large error in the actual radar trajectory tracking process. Track initiation is the primary problem in trajectory tracking and the first step in target tracking. The current track initiation algorithms are greatly affected by heavy clutter environments, so it is necessary to propose an algorithm to solve the problem of low track initiation efficiency. This paper presents a track initiation algorithm using a residual threshold in heavy clutter environments. The falling probability of measured value and decision threshold are used to determine the correlation window. The angle limiting condition is added to establish the track association, and the residual threshold is used to further eliminate the false tracks. The initial track experiment with the trajectory data in the sea near Rizhao Port shows that the algorithm is superior to the traditional logic method and Kalman filter method in track quality. The experiment uses the AIS buffer zone to calculate track initiation probability and uses the multi-region AIS trajectory data for verification. The experimental result shows that track initiation probability with the proposed algorithm in this paper can reach 92.31%.
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container_issue	8, p 614
title_short	A Track Initiation Algorithm Using Residual Threshold for Shore-Based Radar in Heavy Clutter Environments
url	https://doi.org/10.3390/jmse8080614 https://doaj.org/article/99091f361e554e83b80501a58f06028f https://www.mdpi.com/2077-1312/8/8/614 https://doaj.org/toc/2077-1312
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