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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸°úÇÐȸ ³í¹®Áö > Á¤º¸°úÇÐȸ ÄÄÇ»ÆÃÀÇ ½ÇÁ¦ ³í¹®Áö (KIISE Transactions on Computing Practices)

Á¤º¸°úÇÐȸ ÄÄÇ»ÆÃÀÇ ½ÇÁ¦ ³í¹®Áö (KIISE Transactions on Computing Practices)

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) ¿ÀÅäÀÎÄÚ´õ ¸ðµ¨À» ÀÌ¿ëÇÑ ¼±¹Ú±³Åë°üÁ¦ Áö¿ø ½Ã½ºÅÛÀÇ °³¹ß
¿µ¹®Á¦¸ñ(English Title) Development of a Decision Support System based on Autoencoder for Vessel Traffic Service
ÀúÀÚ(Author) ¿ÀÀç¿ë   ±èÇýÁø   ¹Ú¼¼±æ   Jae-Yong Oh   Hye-Jin Kim   Sekil Park  
¿ø¹®¼ö·Ïó(Citation) VOL 24 NO. 12 PP. 0642 ~ 0648 (2018. 12)
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(Korean Abstract)
ÃÖ±Ù ÇØ»ó ±³Åë·®ÀÌ Áõ°¡ÇÏ°í ¿¬¾È Ç×ÇØ¿¡ ´ëÇÑ °üÁ¦ÀÇ Çʿ伺ÀÌ ¿ä±¸µÇ¸é¼­ °üÁ¦ ¹üÀ§°¡ Á¡Â÷ È®´ëµÇ°í ÀÖ´Â Ãß¼¼ÀÌ´Ù. ÀÌ·¯ÇÑ °üÁ¦±¸¿ªÀÇ È®´ë´Â °üÁ¦»çÀÇ ¾÷¹« ºÎÇϸ¦ ÃÊ·¡Çϸç, ÀÌ·Î ÀÎÇØ ±³Åë·®ÀÌ ±ÞÁõÇÏ´Â °æ¿ì¿¡´Â °üÁ¦»ç°¡ »ç°í À§ÇèÀ» ÀÎÁöÇÏÁö ¸øÇÏ´Â »óȲµµ ¹ß»ýÇÑ´Ù. ÀÌ¿¡ ±¹Á¦Ç×·ÎÇ¥ÁöÇùȸ(IALA)¿¡¼­´Â °üÁ¦»çÀÇ ÀÇ»ç°áÁ¤À» Áö¿øÇÏ´Â ±â´ÉµéÀÇ °¡À̵å¶óÀÎÀ» ±Ç°íÇÏ°í ÀÖÁö¸¸, ÇöÀåÀÇ »óȲ¿¡ ¸ÂÁö ¾Ê´Â °æ¿ì°¡ ¸¹¾Æ ³Î¸® È°¿ëµÇÁö ¸øÇÏ°í ÀÖ´Ù. ÀÌ·¯ÇÑ ¹è°æ¿¡¼­ º» ³í¹®¿¡¼­´Â °üÁ¦»çÀÇ °üÁ¦ ¾÷¹«¸¦ Áö¿øÇϱâ À§ÇØ ÀÌ»ó °Åµ¿ ¼±¹ÚÀ» ÀÚµ¿À¸·Î ½Äº°ÇÏ´Â ¹æ¹ý°ú À̸¦ ÀÌ¿ëÇÑ °üÁ¦ Áö¿ø ½Ã½ºÅÛÀ» Á¦¾ÈÇÑ´Ù. º» ½Ã½ºÅÛÀº ´©ÀûµÈ Ç×Àû µ¥ÀÌÅ͸¦ ÀÌ¿ëÇÏ¿© °üÁ¦±¸¿ª ³»ÀÇ ÅëÇ× ÆÐÅÏÀ» ÇнÀÇÏ°í, ÇнÀ ¸ðµ¨°úÀÇ ºñ±³¸¦ ÅëÇØ ½Äº°µÈ ÀÌ»ó °Åµ¿ ¼±¹Ú Á¤º¸¸¦ °üÁ¦»ç¿¡°Ô Á¦°øÇÑ´Ù. ¶ÇÇÑ, º» ³í¹®¿¡¼­´Â ½Ã¹Ä·¹ÀÌÅÍ ¹× ½ÇÁ¦ Ç×Àû µ¥ÀÌÅ͸¦ ÀÌ¿ëÇÏ¿© ½ÇÇèÀ» ¼öÇàÇÏ°í, À̸¦ ÅëÇØ ¼±¹Ú±³Åë°üÁ¦ ½Ã½ºÅÛ¿¡ÀÇ È°¿ë °¡´É¼ºÀ» °íÂûÇÑ´Ù.
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(English Abstract)
The primary purpose of the VTS (Vessel Traffic Service) is to prevent maritime accidents in the port. Recently, the VTS coverage has expanded to include coastal areas with an increase in the focus on maritime safety. However, the expansion led to an increase in the workload for the VTS operators. In some cases, due to an increase in the maritime traffic volume during rush hours, the VTS operator could not recognize the risks of accidents. Henceforth, IALA announced the guidelines to support the VTS operator¡¯s decision-making process. But, the configuration of the guidelines is complicated and there are many useless alarms, thus, making it inapplicable for wide employment. In the present work, we propose a new system to automatically recognize anomalies in ship movement to support the VTS operator¡¯s decision-making process. The proposed system makes the traffic pattern model using the accumulated AIS messages in VTS coverage. Subsequently, the anomaly score can be calculated by comparison with the trained model. Finally, we have reviewed experimental results using a ship-handling simulator and actual trajectory data to verify the feasibility of the proposed method.
Å°¿öµå(Keyword) ±â°èÇнÀ   ¼±¹Ú±³Åë°üÁ¦   ¼±¹ÚÀÚµ¿½Äº°ÀåÄ¡   ÇØ»ó±³Åë ºÐ¼®   ÀÌ»ó °Åµ¿ ¼±¹Ú   machine learning   vessel traffic service   AIS   maritime traffic analysis   ship movement anomaly  
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