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ÇѱÛÁ¦¸ñ(Korean Title)
¸Ó½Å ·¯´× ¾Ë°í¸®ÁòÀ» ÀÌ¿ëÇÑ COVID-19 Risk ºÐ¼® ¹× Safe Activity Áö¿ø ½Ã½ºÅÛ
¿µ¹®Á¦¸ñ(English Title)
COVID-19 Risk Analytics and Safe Activity Assistant Systemwith Machine Learning Algorithms
ÀúÀÚ(Author)
ÀÌÁ¤½Ä
Á¶¼º¿µ
¿ÀÇà·Ï
ÇÑ¸í¹¬
Jung-Sik Lee
Sung-Young Cho
Heang-Rok Oh
Myung-Mook Han
À¯Çý¿¬
±è¹®Çö
¹èº´Ã¶
Hye-Yeon Yu
Moon-Hyun Kim
Byung-Chull Bae
Àüµµ¿µ
¼Û¸íÈ£
±è¼öµ¿
DoYeong Jeon
Myeong Ho Song
Soo Dong Kim
¿ø¹®¼ö·Ïó(Citation)
VOL 22 NO. 01 PP. 0065 ~ 0077 (2021. 02)
Çѱ۳»¿ë
(Korean Abstract)
ÃÖ±Ù COVID-19À¸·Î ÀÎÇÏ¿© Àü¼¼°èÀûÀ¸·Î ¼ö¸¹Àº °¨¿°ÀÚ¿Í »ç¸ÁÀÚ°¡ ¹ß»ýÇÏ¿´´Ù. ¾ÆÁ÷±îÁöµµ È¿°úÀûÀÎ COVID-19¿¡ ´ëÇÑ ¹é½ÅÀÇ °³¹ßÀº ¼º°øÇÏÁö ¸øÇÑ »óÅÂÀÌ´Ù. µû¶ó¼ »ç¶÷µéÀºÀÌ Áúº´ÀÇ °¨¿°¿¡ Å©°Ô ¿ì·ÁÇÏ°í ÀÖ´Ù. ±×°£ Á¤ºÎ °ø°ø±â°üÀÌ Á¦°øÇÑ °¨¿° Á¤º¸´Â °ÅÀÇ ´Ü¼øÇÑ ÇÕ»ê ¹× Åë°è ¼ýÀÚ¿¡ ºÒ°úÇÏ´Ù. µû¶ó¼, °³ÀÎÀ̳ª °³ÀÎÀÌ ÀÖ´Â Àå¼ÒÀÇ ±¸Ã¼ÀûÀÎ À§Çèµµ´Â ÆÇ´ÜÇϱ⠾î·Æ´Ù. º» ³í¹®¿¡¼´Â ¸Ó½Å·¯´× ¾Ë°í¸®Áò ±â¹Ý COVID-19ÀÇ À§Çèµµ ºÐ¼®°ú ¾ÈÀü È°µ¿¿¡ ´ëÇÑ Á¤º¸ Á¦°ø¿¡ ´ëÇÑ ¹æ¹ýÀ» Á¦¾ÈÇÑ´Ù. ÀÌ ³í¹®ÀºCOVID-19 °¨¿° ¹× »ç¸Á À§Çèµµ¿Í °ü·ÃµÈ Æ÷°ýÀûÀÎ ¸ÞÆ®¸¯ ü°è¸¦ Á¦¾ÈÇÏ°í, À̸¦ ÅëÇØ °³ÀÎ ¹× ±×·ì¿¡ ´ëÇÑ À§Çèµµ¸¦ Á¤·®ÀûÀ¸·Î Á¦°øÇÏ´Â ±â¹ýÀ» Á¦½ÃÇÑ´Ù. Á¦½ÃµÈ ½Ã½ºÅÛÀº °³ÀÎ ¹× Áö¿ª Á¤º¸¿Í Ư¼ºÀ» ¹Ý¿µÇÑ ÇÑ Å¬·¯½ºÅ͸µ ¾Ë°í¸®Áò µî È¿°úÀûÀÎ SW ±â¹ýµéÀ» È°¿ëÇÑ´Ù.
¿µ¹®³»¿ë
(English Abstract)
COVID-19 has recently impacted the world with the large numbers of infected and deaths. The development of effective COVID-19 vaccine has not been successful. Hence, people have a high concern on the infection of this disease. The infection information from the governmantal public organizations are mainly based on simple summary statistics. Consequently, it is hard to assess the infection risks of individual person and the current location of the person. In this paper, we present a machine learning-based software system that analyzes COVID-19 infection risks and guidelines for safe activities.This paper proposes a suite of risk factors regarding COVID-19 infection and deaths and methods to quantitatively measure the individual and group risks using the proposed metrics. The proposed system utilizes a clustering algorithms and various software approaches that reflect the information and features of inviduals and their geograpical locations.
Å°¿öµå(Keyword)
»çÀ̹ö ÁöÈÖÅëÁ¦Ã¼°è
»çÀ̹ö ųüÀÎ ¸ðµ¨
¹æ¾î ¸ðµ¨
°ø°Ý ¸ðµ¨
À§Çù ºÐ·ù/ºÐ¼®/¿¹Ãø ÇÁ·¹ÀÓ¿öÅ©
Cyber Command Control System
Cyber Kill Chain Model
Defense Model
Attack Model
threat classification/analysis-
-/prediction framework
ÇàÀ§¼Ò ¸ðµ¨
µîÀåÀι° ¿ªÇÒ ÀνÄ
µîÀåÀι° °ü°è ±×·¡ÇÁ
°¨Á¤ È帧 ±×·¡ÇÁ
Actantial model
Character Role Recognition
Character Relationship Graph
Character Sentiment Flow Graph
COVID-19
¸Ó½Å ·¯´×
Ŭ·¯½ºÅ͸µ
Risk ºÐ¼®
Safe Activity Áö¿ø
Machine Learning
Clustering
Risk Analytics
Safe Activity Assistance
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