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36ȸ (2022) | È«À¯¼® ±³¼ö(¼¿ï´ëÇб³ »ê¾÷°øÇаú) |
35ȸ (2021) | ½ÅÇÏ¿ë ±³¼ö(KAIST »ê¾÷ ¹× ½Ã½ºÅÛ°øÇаú) |
34ȸ (2020) | °í⼺ ±³¼ö(°æ¼º´ëÇб³ »ê¾÷°æ¿µ°øÇаú) |
33ȸ (2019) | º¯ÀçÇö ±³¼ö(°æ»ó´ëÇб³ »ê¾÷½Ã½ºÅÛ°øÇкÎ) |
32ȸ (2018) | ±è±¤¼ö ±³¼ö(Æ÷Ç×°ø°ú´ëÇб³ »ê¾÷°æ¿µ°øÇаú) |
31ȸ (2017) | ¹®´öÈñ ±³¼ö( â¿ø´ëÇб³ »ê¾÷½Ã½ºÅÛ°øÇаú) |
30ȸ (2016) | ÀÌÈñ»ó ±³¼ö(¼º±Õ°ü´ëÇб³ ½Ã½ºÅ۰濵°øÇаú) |
29ȸ (2015) | À±¿ø¿µ ±³¼ö(ºÎ»ê´ëÇб³ »ê¾÷°øÇаú) |
28ȸ (2014) | ±è±¤Àç ±³¼ö(Æ÷Ç×°ø°ú´ëÇб³ »ê¾÷°æ¿µ°øÇаú) |
27ȸ (2013) | ¹®ÀÏ°æ ±³¼ö(¼¿ï´ëÇб³ »ê¾÷°øÇаú) |
26ȸ (2012) | ÀÌÅÂ¾ï ±³¼ö(KAIST »ê¾÷ ¹× ½Ã½ºÅÛ°øÇаú) |
25ȸ (2011) | ÀüÄ¡Çõ ±³¼ö(POSTECH) |
24ȸ (2010) | ±è¿©±Ù ±³¼ö(Àü³²´ëÇб³) |
23ȸ (2009) | ±è¼±È£ ±³¼ö(¸íÁö´ëÇб³) |
22ȸ (2008) | ¼¼®È¯ ±³¼ö(POSTECH) |
21ȸ (2007) | ±è¿µ´ë ±³¼ö(KAIST) |
20ȸ (2006) | ±è°©È¯ ±³¼ö(ºÎ»ê´ëÇб³) |
19ȸ (2005) | ÃÖÈÄ°ï ±³¼ö(¼º±Õ°ü´ëÇб³) |
18ȸ (2004) | ¹Ú¾çº´ ±³¼ö(°æÈñ´ëÇб³) |
17ȸ (2003) | Á¶¼º±¸ ±³¼ö(µ¿±¹´ëÇб³) |
16ȸ (2002) | ¹ÚÁø¿ì ±³¼ö(¼¿ï´ëÇб³) |
15ȸ (2001) | Á¤¹Î±Ù ±³¼ö(Æ÷Ç×°ø°ú´ëÇб³) |
14ȸ (2000) | ȲÈï¼® ±³¼ö(µ¿ÀÇ´ëÇб³) |
13ȸ (1999) | ÃÖº´±Ô ±³¼ö(KAIST) |
12ȸ (1998) | ¿°ºÀÁø ±³¼ö(KAIST) |
11ȸ (1997) | Á¤¹«¿µ ±³¼ö(Æ÷Ç×°ø°ú´ëÇб³) |
10ȸ (1996) | ±Çö½Å ±³¼ö(¼º±Õ°ü´ëÇб³) |
9ȸ (1995) | ÇѹÎÈ« ±³¼ö(°í·Á´ëÇб³) |
8ȸ (1994) | ÀÌâÈÆ ±³¼ö(¼¿ï´ëÇб³) |
7ȸ (1993) | Á¶±Ô°© ±³¼ö(ºÎ»ê´ëÇб³) |
6ȸ (1992) | ±è¼ºÀÎ ±³¼ö(°í·Á´ëÇб³) |
5ȸ (1991) | ȲÇÐ ±³¼ö(KAIST) |
4ȸ (1990) | À̸é¿ì ±³¼ö(¼¿ï´ëÇб³) |
3ȸ (1989) | ±è¿µÈÖ ±³¼ö(°í·Á´ëÇб³) |
2ȸ (1988) | ³ëÀÎ±Ô ±³¼ö(ÇѾç´ëÇб³) |
1ȸ (1987) | ¹èµµ¼± ±³¼ö(KAIST) |
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35ȸ (2024) |
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34ȸ (2023) |
À̵¿Èñ ±³¼ö(¼º±Õ°ü´ëÇб³ ½Ã½ºÅ۰濵°øÇаú), ½Å½ÂÁØ ±³¼ö(ÇѾç´ëÇб³ »ê¾÷À¶ÇÕÇкÎ) | ´Ù´Ü°è Á¦Á¶ °øÁ¤ÀÇ ´Ü°è ¼öÁغ° ÀÜ¿© À¯È¿ ¼ö¸í ¹× ÃÖÀû ±³Ã¼ ½Ã°£ ¿¹Ãø ¹æ¹ý | ´ëÇÑ»ê¾÷°øÇÐȸÁö Á¦49±Ç Á¦2È£ (2023³â 4¿ùÈ£) |
33ȸ (2022) |
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32ȸ (2021) |
ÀÌÃæ¸ñ ±³¼ö(Çѱ¹¿Ü±¹¾î´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | Áö¿ªº° Áß¿äµµ¸¦ °í·ÁÇÑ µå·Ð ÃÖÀû °æ·Î °¨½Ã ½Ã½ºÅÛ | ´ëÇÑ»ê¾÷°øÇÐȸÁö Á¦45±Ç Á¦5È£ (2019³â 10¿ùÈ£) |
31ȸ (2020) |
ÃÖÀÎÂù ±³¼ö(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇкÎ) | °ÔÀÌÆ® ÆÐÅÏ ±â¹Ý ÃÖÀûÈ ¸ðÇüÀ» È°¿ëÇÑ ¾çÀÚÄÄÇ»Æà °¡¿ª ³í¸® ȸ·Î ÇÕ¼º | ´ëÇÑ»ê¾÷°øÇÐȸÁö Á¦46±Ç Á¦4È£ (2020³â 8¿ùÈ£) |
30ȸ (2019) |
Á¤¸íö ±³¼ö(¾ÆÁÖ´ëÇб³ »ê¾÷°øÇаú) | ÇÁ·»Ä¡ µµ¾î ³ÃÀå½Ç ¼ÕÀâÀÌ ³ôÀÌÀÇ ÀûÁ¤ ¹üÀ§ °áÁ¤ | ´ëÇÑ»ê¾÷°øÇÐȸÁö Á¦44±Ç Á¦5È£ (2018³â 10¿ùÈ£) |
29ȸ (2018) |
°Çʼº ±³¼ö(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇкÎ) | ÇÕ¼º°ö ½Å°æ¸ÁÀ» ÀÌ¿ëÇÑ ¿þÀÌÆÛ ¸Ê ±â¹Ý ºÒ·® ŽÁö | ´ëÇÑ»ê¾÷°øÇÐȸÁö 44±Ç 4È£ (2018³â 8¿ùÈ£) |
28ȸ (2017) |
±è¼º¹ü ±³¼ö(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇкÎ) | »ýÁ¸ºÐ¼®À» ÀÌ¿ëÇÑ ¸ÂÃãÇü ´ëÀå³»½Ã°æ °ËÁøÁÖ±â Ãßõ | ´ëÇÑ»ê¾÷°øÇÐȸÁö 42±Ç 2È£ (2016³â 4¿ùÈ£) |
27ȸ (2016) |
¾È±æ½Â, Çã ¼± ±³¼ö(ÇѾç´ëÇб³ ERICA »ê¾÷°æ¿µ°øÇаú) | Continuous Conditional Random Field¿¡ ÀÇÇÑ ÀÎÅÍ³Ý ¼îÇθô ½Å±Ô °í°´µî±Þ ¿¹Ãø | ´ëÇÑ»ê¾÷°øÇÐȸÁö 41±Ç 1È£ (2015³â 2¿ùÈ£) |
26ȸ (2015) |
À¯Èñõ ±³¼ö(Æ÷Ç×°ø°ú´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | ¼º´É, »ç¿ë¼º, ȯ°æ¼º Æò°¡¸¦ ÅëÇÑ ¼ÒÇü¿Âdz±â ¼³°è¾È °³¹ß »ç·Ê | ´ëÇÑ»ê¾÷°øÇÐȸÁö 40±Ç 2È£ (2014³â 4¿ùÈ£) |
25ȸ (2014) |
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24ȸ (2013) |
Á¤ÀÏÇÑ ±³¼ö(±¹¹æ±â¼úÇ°Áú¿ø â¿ø¼¾ÅÍ), À±¿ø¿µ ±³¼ö(ºÎ»ê´ëÇб³ »ê¾÷°øÇаú) | A Repair-Time Limit Replacement Model with Imperfect Repair | ´ëÇÑ»ê¾÷°øÇÐȸÁö 39±Ç 4È£ (2013³â 8¿ùÈ£) |
23ȸ (2012) |
ÀÌ°æ½Ä ±³¼ö ±³¼ö(Çѱ¹¿Ü±¹´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | Separation Heuristic for the Rank-1 Chvatal-Gomory Inequalities for the Binary Knapsack Problem | ´ëÇÑ»ê¾÷°øÇÐȸÁö 38±Ç 2È£ (2012³â 6¿ùÈ£) |
22ȸ (2011) |
È«Á¤½Ä ±³¼ö(¼¿ï°úÇбâ¼ú´ëÇб³ »ê¾÷Á¤º¸½Ã½ºÅÛ°øÇаú), ±èű¸ ±³¼ö(¼¿ï´ëÇб³ »ê¾÷°øÇаú), ±¸ÈÆ¿µ ±³¼ö(Ãæ³²´ëÇб³ °æ¿µÇкÎ) |
NLS¿Í OLSÀÇ ÇÏÀ̺긮µå ¹æ¹ý¿¡ ÀÇÇÑ Bass È®»ê¸ðÇüÀÇ ¸ð¼öÃßÁ¤ | ´ëÇÑ»ê¾÷°øÇÐȸÁö 37±Ç 1È£ (2011³â 3¿ùÈ£) |
21ȸ (2010) |
Çã ¼± ±³¼ö(ÇѾç´ëÇб³) Á¤¼®À± ±³¼ö(ÇÑÈ S&C) |
½Ã°£Á¦¾àÀÌ ÀÖ´Â Á¤º¸Ã³¸®½Ã½ºÅÛÀÇ ¼º´ÉºÐ¼® ¸ðÇü | ´ëÇÑ»ê¾÷°øÇÐȸÁö 36±Ç 2È£ (2010³â 6¿ùÈ£) |
20ȸ (2009) |
¹éõÇö ±³¼ö(µ¿ÀÇ´ëÇб³) | ±¤´ë¿ª OFDMA ¹«¼±Åë½Å½Ã½ºÅÛÀÇ È£Á¢¼ÓÁ¦¾î¿¡ °üÇÑ ¿¬±¸ | ´ëÇÑ»ê¾÷°øÇÐȸÁö
34±Ç 4È£ (2008³â 12¿ù) |
19ȸ (2008) |
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33±Ç 2È£ |
18ȸ (2007) |
¿À¼®Âù, ÀÌ»óÅ ±³¼ö(General Motors R&D Center), ±èÅÂ¿î ±³¼ö(°æ¼º´ëÇб³) | Agent-based Shipment Algorithm for Capacitated Vehicle Routing Problem with Load Balancing | ´ëÇÑ»ê¾÷°øÇÐȸÁö
32±Ç 3È£ (2006³â) ±³¼ö(¿µ¹®) |
17ȸ (2006) |
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µÎ °³ÀÇ ÀÌ»ó¿øÀÎÀ» °í·ÁÇÑ VSSI X-bar °ü¸®µµÀÇ °æÁ¦Àû-Åë°èÀû ¼³°è | ´ëÇÑ»ê¾÷°øÇÐȸÁö
31±Ç 1È£ (2005³â) |
°µ¿ÇÑ, ¹Ú¼º¼ö ±³¼ö(KAIST) | Economic Analysis of SONET/WDM
UPSR and BLSR Ring Networks Using Traffic Grooming |
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30±Ç 3È£ (2004³â) |
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16ȸ (2005) |
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15ȸ (2004) |
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29±Ç 3È£ (2003³â 9¿ù) |
14ȸ (2003) |
±è¿ìÁ¦ ±³¼ö(¼¿ï»ê¾÷´ëÇб³), ¹ÚÂù±Ô ±³¼ö(´ëÁø´ëÇб³), ÀÓ¼º¹¬ ±³¼ö(Çѱ¹Àü»ê¿ø), ¹Ú¼ø´Þ ±³¼ö(¼¿ï´ëÇб³), Katta G. Murty ±³¼ö(¹Ì½Ã°Ç´ëÇб³) | º¯¼öÃß°¡½ÃÀÇ ºñ°¡´É ³»ºÎÁ¡±â¹ýÀÇ °¨µµºÐ¼® | ´ëÇÑ»ê¾÷°øÇÐȸÁö
28±Ç 1È£ (2002³â 3¿ù) |
13ȸ (2002) |
À̹®±Ô ±³¼ö(°è¸í´ëÇб³) | Á÷¼± ÃßÃâÀ» À§ÇÑ ÀÚ±âÁ¶Á÷ÈÁöµµ ±â¹ÝÀÇ ÇãÇÁ º¯È¯ | ´ëÇÑ»ê¾÷°øÇÐȸÁö
28±Ç 2È£ (2002³â 6¿ù) |
12ȸ (2001) |
ÀÌÇöÂù ±³¼ö(È«ÀÍ´ëÇб³), ±è´ö¼ö ±³¼ö(ÇѾç´ëÇб³) | ºñ¼±Çü°èȹ¹ýÀ» ÀÌ¿ëÇÑ B-Spline °î¸éÀÇ ¼øÁ¤ ¾Ë°í¸®µë | ´ëÇÑ»ê¾÷°øÇÐȸÁö
27±Ç 1È£ (2001³â 3¿ù) |
11ȸ (2000) |
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10ȸ (1999) |
ÀÌÈ£¿ì, ±èÀº¿µ ±³¼ö(¼º±Õ°ü´ëÇб³) | ||
9ȸ (1998) |
º¯ÀçÇö ±³¼ö(°æ»ó´ëÇб³), ±è±¤Àç ±³¼ö(Æ÷Ç×°ø°ú´ëÇб³) | ||
8ȸ (1997) |
±è¿ø°æ ±³¼ö(°æ³²´ëÇб³) | ||
7ȸ (1996) |
ÀÌÈ¿¼º ±³¼ö(°æÈñ´ëÇб³) | ||
6ȸ (1995) |
È«À¯½Å ±³¼ö(Æ÷Ç×°ø°ú´ëÇб³) | ||
5ȸ (1994) |
±è¿©±Ù ±³¼ö(Àü³²´ëÇб³) | ||
4ȸ (1993) |
Á¶¸é½Ä ±³¼ö(°æ±â´ëÇб³) | ||
3ȸ (1992) |
Á¤¹«¿µ ±³¼ö(Æ÷Ç×°ø°ú´ëÇб³) | ||
2ȸ (1991) |
ÀÌ°æ±Ù ±³¼ö(ºÎ»ê´ëÇб³) | ||
1ȸ (1990) |
ÇѹÎÈ« ±³¼ö(Æ÷Ç×°ø°ú´ëÇб³) |
¹é¾Ï±â¼ú»ó(1990-2012³â±îÁö ½Ã»ó)Àº »ê¾÷°øÇÐ(IE Interfaces)Áö¿¡ ÃÖ±Ù 3³â°£ °ÔÀçµÈ ³í¹® Áß¿¡¼ »ê¾÷Àû ÀÀ¿ë°¡Ä¡°¡ ³ô°Å³ª ½Ç¿ëÈ¿¡ ±â¿©ÇÑ ³í¹®ÀÇ ´ëÇ¥ ÀúÀÚ ¶Ç´Â °øÀúÀڷμ Æ÷»ó³âµµ 8¿ù 30ÀÏ ÇöÀç ´ëÇÑ»ê¾÷°øÇÐȸ Á¤È¸¿ø. 2ÀÎ À̳» °øÀúÀÚ µ¿½Ã Æ÷»óÇÏ¿´À¸³ª 2013³â »ê¾÷°øÇÐ(IE Interfaces)Áö¿Í ´ëÇÑ»ê¾÷°øÇÐȸÁö°¡ ÅëÇյǾî 2012³â±îÁö ¹é¾Ï±â¼ú»óÀ» ½Ã»óÇÏ¿´À½.
ȸ (³âµµ) | ¼ö»óÀÚ (¼Ò¼Ó) | ³í¹®¸í | °ÔÀçÁö |
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23ȸ (2012) |
¹éÀåÇö, ÀÌÅÂÇÑ(ÀüºÏ´ëÇб³ »ê¾÷Á¤º¸½Ã½ºÅÛ°øÇаú) | ÆäÀÌ¡ ¿¡ÀÌÀüÆ®¸¦ ÀÌ¿ëÇÑ ÆäÀÌ¡ ¹æ¹ýÀÇ Á¤È®ÇÑ ¸ðµ¨¸µ ¹× ¼º´É ºÐ¼® | IE Interfaces 24±Ç 1È£ (2011³â 3¿ùÈ£) |
22ȸ (2011) |
Á¤¿µ¼±(Khalifa University, Department
of Industrial & Systems Engineering),
ÀÌÃæ¸ñ(Çѱ¹ÀüÀÚÅë½Å¿¬±¸¿ø ¿ìÁ¤¹°·ù±â¼ú¿¬±¸ºÎ), ±èµµÇö(Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø Á¤º¸ºÐ¼®º»ºÎ), ÀÌ°æ½Ä(Çѱ¹¿Ü±¹¾î´ëÇб³ »ê¾÷°æ¿µ°øÇаú) |
Remote Health Monitoring of Parkinson's Disease Severity Using Signomial Regression Model | IE InterfacesÁö 23±Ç 4È£(2010³â 12¿ùÈ£) |
21ȸ (2010) |
±èµ¿¼ö(¼þ½Ç´ëÇб³), ÃÖÁ¾¼ö(»ï¼º¼¿ïº´¿ø) |
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20ȸ (2009) |
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Interfaces 21±Ç 4È£ (2008³â 12¿ù) |
19ȸ (2008) |
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interfaces 21±Ç 1È£ (2008³â) |
18ȸ (2007) |
ÀÌ»óÇå(±¹¹æ´ëÇб³), ÃÖÇØÁ¤(±¹¹æ±â¼úÇ°Áú¿ø) | ȹ° ÄÁÅ×ÀÌ³Ê ¿î¼ÛÀ» À§ÇÑ ½Ã¹Ä·¹ÀÌƼµå ¾î´Ò¸µ ±â¹ÝÀÇ Â÷·®°æ·Î°èȹ | IE
Interfaces 20±Ç 2È£ (2007³â) |
17ȸ (2006) |
±è¼ºÁØ(°¸ª´ëÇб³), ¹ÚÁ¾ÀÎ(LGÈÇÐ) | È¥ÇÕ¹°½ÇÇè°èȹ¹ýÀ» ÀÌ¿ëÇÑ ÀÌÂ÷ÀüÁöÀÇ ÃÖÀû¼³°è | IE
Interfaces 18±Ç 4È£ (2005³â 12¿ù) |
16ȸ (2005) |
À¯¿ì¿¬(¸íÁö´ëÇб³), ¾çÀç°æ(ÀüºÏ´ëÇб³) | ||
15ȸ (2004) |
ÇÑ°üÈñ(°æ»ó´ëÇб³) | °æ·®ÄÄÆ÷³ÍÆ® ±¸Á¶ÀÇ XPDL ±â¹Ý ¿öÅ©Ç÷Π°ü¸® ½Ã½ºÅÛ °³¹ß | IE
Interfaces 17±Ç 2È£ (2004³â 6¿ù) |
14ȸ (2003) |
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Interfaces 16±Ç 1È£ (2003³â 3¿ù) |
13ȸ (2002) |
ÀüÄ¡Çõ(Æ÷Ç×°ø°ú´ëÇб³) | ¿¹»êÁ¦¾àÇÏ¿¡¼ÀÇ µ¿½ÃÁ¶´Þ¼ö¸®ºÎ¼ÓÀÇ ÀûÁ¤¼Ò¿ä »êÃâ | IE
Interfaces 14±Ç 3È£ (2001³â 9¿ù) |
12ȸ (2001) |
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11ȸ (2000) |
À¯º´ÇÑ(Çѱ¹ÀüÀÚÅë½Å¿¬±¸¿ø), ¹éÀåÇö(ÀüºÏ´ëÇб³) | IMT-2000 ¸Á¿¡¼ AAL-2 ±¸Á¶ÀÇ Æ®·¡ÇÈ Á¦¾î ¹× ½Ã½ºÅÛ ¼º´É | |
10ȸ (1999) |
ÀÌö¼ö, ÀÌÁ¦ÇÊ(Àü³²´ëÇб³), ±è¼ºº¹(ȼº±â°ø) | ||
9ȸ (1998) |
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8ȸ (1997) |
ÀÌö¼ö, ¹Ú±¤·Ä(Àü³²´ëÇб³) | ||
7ȸ (1996) |
ÀÓÁع¬(°¸ª´ëÇб³) | ||
6ȸ (1995) |
¹ÚÁÖö(¿ï»ê´ëÇб³) | ||
5ȸ (1994) |
¹Ú¿µÈ«(°üµ¿´ëÇб³) | ||
4ȸ (1993) |
°í⼺(°æ¼º´ëÇб³) | ||
3ȸ (1992) |
Àüź¸(°¿ø´ëÇб³) | ||
2ȸ (1991) |
¹ÚÃ῱(µ¿±¹´ëÇб³) | ||
1ȸ (1990) |
À̳«¿µ(Ãæ³²´ëÇб³), À̱¤Çü (KAIST) |
ȸ (³âµµ) | ¼ö»óÀÚ(¼Ò¼Ó) |
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11ȸ (2024) | ¹ÚÂù¼® ±³¼ö(ºÎ»ê´ëÇб³ »ê¾÷°øÇаú) |
10ȸ (2023) | ÀÌÁ¾¼® ±³¼ö(¼º±Õ°ü´ë ½Ã½ºÅ۰濵°øÇаú) |
9ȸ (2022) | À̵¿Èñ ±³¼ö(¼º±Õ°ü´ë ½Ã½ºÅ۰濵°øÇаú) |
8ȸ (2021) | Á¤º´¿ë ±³¼ö(ÇѼº´ëÇб³ ½º¸¶Æ®°æ¿µ°øÇкÎ) |
7ȸ (2020) | ±èº´ÀÎ ±³¼ö(Æ÷Ç×°ø°ú´ëÇб³ »ê¾÷°æ¿µ°øÇаú) |
6ȸ (2019) | À̵¿È£ ±³¼ö(ÇѾç´ëÇб³ »ê¾÷°øÇаú) |
5ȸ (2017) | Biswajit Sarkar ±³¼ö(ÇѾç´ëÇб³ ERICA »ê¾÷°æ¿µ°øÇаú) |
4ȸ (2016) | Çã ¼± ±³¼ö(ÇѾç´ëÇб³ ERICA »ê¾÷°æ¿µ°øÇаú) |
3ȸ (2015) | ÀüÄ¡Çõ ±³¼ö(Æ÷Ç×°ø°ú´ëÇб³ »ê¾÷°æ¿µ°øÇаú) |
2ȸ (2014) | ¹®ÀÏ°æ ±³¼ö(¼¿ï´ëÇб³ »ê¾÷°øÇаú) |
1ȸ (2013) | ÀÌÀç¿í ±³¼ö(¼¿ï´ëÇб³ »ê¾÷°øÇаú) |
¡Ø Âü°í: °³ÀÎ, ±â¾÷, ¶Ç´Â ´Üü°¡ ¸Å³â ÀÏÁ¤±Ý¾×À» »ó±Ý ¶Ç´Â ¿î¿µºñ¿ëÀ¸·Î 3³â ÀÌ»ó Áö¼ÓÀûÀ¸·Î ÈÄ¿øÀ» È®¾àÇÏ°í ÈÄ¿øÀÚ³ª ±â°üÀÇ ¸íĪÀ» »ç¿ëÇÑ »óÀÇ Á¦Á¤À» ¿øÇÒ °æ¿ì ȸÀå´ÜÀÇ ÀÇ°áÀ» ÅëÇؼ Á¦Á¤ÇÒ ¼ö ÀÖÀ½.(<Áöħ 5> ÇÐȸ»ó ¼ö¿© Áöħ)
ȸ (³âµµ) | ¼ö»ó³»¿ª | ³í¹®Á¦¸ñ | ÀúÀÚ/ ¼Ò¼Ó |
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20ȸ(2024) | ´ë»ó | Optimal replenishment policy from dual suppliers with nonconsecutive lead times | ÇÑäÈÆ, ¹Ú°Ç¼ö(¼¿ï´ëÇб³ »ê¾÷°øÇаú) |
ÃÖ¿ì¼ö»ó | Virtual Try-On with Pose-Aware Diffusion Models | ¹Úų², ±è¼º¹ü(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
ÃÖ¿ì¼ö»ó | Courier Scheduling in Last-mile Delivery Considering Show-up Rate Dynamics and Job Proficiency | ¹®À¯ÀÎ, ÃÖµ¿±¸(Æ÷Ç×°ø°ú´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
ÃÖ¿ì¼ö»ó | ½Ç½Ã°£ »óÅ ÀÎ½Ä ÀÚ°¡ Áöµµ µµ¸ÞÀÎ ÀûÀÀÀ» ÅëÇÑ º£¾î¸µ ÀÜÁ¸ ¼ö¸í ¿¹Ãø | ¹Ú°æ±Ù, ¹éÁØ°É(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
¿ì¼ö»ó | AnoPLe: Few-Shot Anomaly Detection via Bi-directional Prompt Learning with Only Normal Samples | Àå¼À±, À±Çö¼ö(¿¬¼¼´ëÇб³ »ê¾÷°øÇаú) | |
¿ì¼ö»ó | Dynamic Decision Making for Emission Reduction Measures in Maritime Voyages using Reinforcement Learning | ÀÌ´Ùºó, ¹®ÀÏ°æ(¼¿ï´ëÇб³ »ê¾÷°øÇаú) | |
¿ì¼ö»ó | TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection | ÀåÀç¼®, ±ÇÇõÀ±(¼¿ï°úÇбâ¼ú´ëÇб³ µ¥ÀÌÅÍ»çÀ̾ð½ºÇаú) | |
¿ì¼ö»ó | Challenging the Counterintuitive: Revisiting Simple Likelihood Tests with Normalizing Flows for Tabular Data Anomaly Detection | ±èµ¿È¯, À±Çö¼ö(¿¬¼¼´ëÇб³ »ê¾÷°øÇаú) | |
¿ì¼ö»ó | Time-Adaptation: ´ëÇü ¾ð¾î ¸ðµ¨À» ÀÌ¿ëÇÑ ºñÁöµµ ÇнÀ ±â¹Ý ½Ã°è¿ µ¥ÀÌÅÍ µµ¸ÞÀÎ ÀûÀÀ ¹× ÀÌ»ó ŽÁö | ¹Ú°ü, ¹éÁØ°É¿ë(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
19ȸ(2023) | ´ë»ó | Approximate Dynamic Programming Approach for Airport Gate Assignment Problem | ±èÇпë, ÀÌ°æ½Ä(¼¿ï´ëÇб³ »ê¾÷°øÇаú) |
ÃÖ¿ì¼ö | Lifting Heuristic for Robust Cover Inequalities for Robust Knapsack Problem | ³ë¿µÁÖ, ÀÌ°æ½Ä(¼¿ï´ëÇб³ »ê¾÷°øÇаú) | |
ÃÖ¿ì¼ö | UniFormaly: Towards Task-Agnostic Unified Visual Anomaly Detection Framework | ÀÌÀ¯Áø, À±Çö¼ö(¿¬¼¼´ëÇб³ »ê¾÷°øÇаú) | |
ÃÖ¿ì¼ö | LEAT: Towards Robust Deepfake Disruption in Real-World Scenarios via Latent Ensemble Attack | ½ÉÁر³, À±Çö¼ö(¿¬¼¼´ëÇб³ »ê¾÷°øÇаú) | |
¿ì¼ö | Scheduling of Steelmaking-Continuous Casting Process by Integrating Machine Learning with Mathematical Optimization | ½Å¿ìÁø, ±èÇöÁ¤(Çѱ¹°úÇбâ¼ú¿ø »ê¾÷¹×½Ã½ºÅÛ°øÇаú) | |
¿ì¼ö | An Exact Algorithm for Robust Drone-Vehicle Routing Problem with Time Windows | ÁÖÀç°ü, ÀÌÃæ¸ñ(Çѱ¹¿Ü±¹¾î ´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
¿ì¼ö | ÇǽÇÇèÀÚ º¯µ¿¿¡ °°ÇÇÑ Àΰ£ È°µ¿ ÀνÄÀ» À§ÇÑ Çù·ÂÇнÀ È°¿ë µµ¸ÞÀÎ ÀϹÝÈ | Á¤¿ëÅÂ, ±è¼º¹ü(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
¿ì¼ö | KOreaPAS : TAPAS ±â¹ÝÀÇ Çѱ¹¾î Æ¯È Ç¥ ÁúÀÇÀÀ´ä ¸ðÇü | ¿À¼öÁö, °Çʼº(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
18ȸ (2022) |
´ë»ó | An Interval-Based Two-Stage Stochastic Optimization Model for the Unit Commitment Problem Under Demand Uncertainty | Á¤È£Áø, ÀÌ°æ½Ä(¼¿ï´ëÇб³ »ê¾÷°øÇаú) |
ÃÖ¿ì¼ö | °üÃøÄ¡ °£ °ø°£Àû À¯»ç¼º°ú º¯¼ö °£ »ó°ü°ü°è¸¦ °í·ÁÇÑ ¹ÝµµÃ¼ ¿þÀÌÆÛ Å×½ºÆ® µ¥ÀÌÅÍÀÇ °áÃøÄ¡ ´ëü ¹æ¹ý °³¹ß | ±èÁÖ¿µ, ±è±¤Àç(Æ÷Ç×°ø°ú´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
ÃÖ¿ì¼ö | Overconfidence relaxation for out-of-distribution samples via hypersphere embedding and weight regularization | ±èÅ¿í, ÀÌÁ¾¼®(¼º±Õ°ü´ëÇб³ ½Ã½ºÅ۰濵°øÇаú) | |
ÃÖ¿ì¼ö | MADFlow : Normalizing Flow¸¦ È°¿ëÇÑ ´Ùº¯·® ½Ã°è¿ ÀÌ»ó ŽÁö | ¹®Áö¿ø, ¹éÁØ°É(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
¿ì¼ö | Load-and-Sequence based Traveling Salesman Problem for Outbound Logistics with Risk-containing Freights | Â÷ÇüÁÖ, Á¤Å¼ö(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
¿ì¼ö | °°Ç ÃÖÀûÈ ±â¹ýÀ» ±â¹ÝÀ¸·Î ÇÑ °¡»ó¹ßÀü¼ÒÀÇ Àü·Â Áß°³ ÀÔÂû ÃÖÀûÈ | ±è¼®¿ì, ÃÖµ¿±¸(Æ÷Ç×°ø°ú´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
¿ì¼ö | Àå¸é À̹ÌÁö ¼Ó ÇÑ±Û ¹®ÀÚ ÀνÄÀ» À§ÇÑ ±ÛÀÚ ´ÜÀ§ ÀÏ°ü¼º Á¤±ÔÈ ±â¹ÝÀÇ ÁØÁöµµÇнÀ ¸ðµ¨ | ±è¼º¼ö, ±è¼º¹ü(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
¿ì¼ö | Airline Dynamic Pricing with Patient Customers Using Deep Exploration-Based Reinforcement Learning | Á¶¼º¹è, ¹®ÀÏ°æ(¼¿ï´ëÇб³ »ê¾÷°øÇаú) | |
¿ì¼ö | A stepwise approach to predicting tropical cyclone risk: An implication for the impact of climate change | À̽ÂÁØ, Á¤±¤¹Î(Æ÷Ç×°ø°ú´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
¿ì¼ö | Density-weighted Deep Support Vector Data Description for Robust Anomaly Detection | À±µµ½Ä, À¯ÀçÈ«(ÀÎõ´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
17ȸ (2021) |
´ë»ó | An Exact Algorithm for heterogeneous EV charging station location problem with nonlinear charging time and deviation path | ¹ÚÇö¿ì, ÀÌÃæ¸ñ(Çѱ¹¿Ü±¹¾î´ëÇб³ »ê¾÷°æ¿µ°øÇаú) |
ÃÖ¿ì¼ö»ó | Battery Swapping, Inventory Rebalancing, and Staff Routing in Electric Micro-mobility Sharing Systems | ÀÌ°¡Àº, ¹Ú°Ç¼ö(¼¿ï´ëÇб³ »ê¾÷°øÇаú) | |
ÃÖ¿ì¼ö»ó | Consistency RegularizationÀ» Àû¿ëÇÑ ¸ÖƼ¸ð´Þ Çѱ¹¾î °¨Á¤ÀÎ½Ä | ±èÁ¤Èñ, °Çʼº(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
ÃÖ¿ì¼ö»ó | °´Ã¼ ¼öÁØ µ¥ÀÌÅÍ Áõ°À» È°¿ëÇÑ µö·¯´× ±â¹ÝÀÇ °ÆÇ Ç¥¸é °áÇÔ °ËÃâ | ¾ÈÀιü, ±è¼º¹ü(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
¿ì¼ö»ó | The location routing problem for cooling shelters during heat waves | ¿ì½Â¿Á, ±Ç»óÁø(¿ï»ê°úÇбâ¼ú¿ø »ê¾÷°øÇаú) | |
¿ì¼ö»ó | Politically-Themed Stocks Revisited: Analyzing Politically-Themed Stocks Using Natural Language Processing (NLP), Information Theory, and Complex Network Dynamics | ÃÖÀμö, ±è¿ìâ(Çѱ¹°úÇбâ¼ú¿ø »ê¾÷¹×½Ã½ºÅÛ°øÇаú) | |
¿ì¼ö»ó | A decomposition approach for the parallel line lot-sizing and scheduling problem with sequence-dependent setup and item family | Á¤Áø¿µ, ÀÌ°æ½Ä(¼¿ï´ëÇб³ »ê¾÷°øÇаú) | |
¿ì¼ö»ó | VAE-based Monitoring Chart to Monitor Vessel Voyages using AIS Data | À±±ÇÀÎ, ±è¼ºÀÏ(¿ï»ê°úÇбâ¼ú¿ø »ê¾÷°øÇаú) | |
¿ì¼ö»ó | Two Phase Multivariate to Multivariate Time Series Forecasting Using Self-attention Based Convolutional Autoencoder and Temporal Convolutional Network | Ȳ¿ì¿µ, ¹éÁØ°É(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
¿ì¼ö»ó | Subscription Box Assortment Optimization Considering New Service Diffusion and Customer Satisfaction | Â÷»óÀ±, ¹Ú°Ç¼ö(¼¿ï´ëÇб³ »ê¾÷°øÇаú) | |
16ȸ(2020) | ´ë»ó | Abnormal Respiratory Sound Classification Using Hierarchical Attention Networks | Á¤±â¿ø, ±è¼º¹ü(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) |
¿ì¼ö»ó | ¸¶½ºÅ© À̹ÌÁö¸¦ È°¿ëÇÑ CNN ±â¹Ý Ŭ·¡½º È®·ü º¸Á¤ | ¸Í´ëÁÖ, ¹éÁØ°É(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
¿ì¼ö»ó | ³½µå Ç÷¡½Ã ¸Þ¸ð¸® ÀúÀå ÀåÄ¡¿¡¼ ¼¿ ¹®ÅÎ Àü¾Ð ºÐÆ÷¸¦ ¹Ý¿µÇÑ Sensing-Level ¿¹Ãø ¹æ¹ý | ³ëÇص¿, ¹éÁØ°É(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
ÃÖ¿ì¼ö»ó | An exact algorithm for heterogeneous drone truck routing problem | Munjeong Kang, Chungmok Lee(Department of Industrial and Management Engineering£¬Hankuk University of Foreign Studies) | |
¿ì¼ö»ó | Integer programming models and exact methods for the two-dimensional two-staged knapsack problem | Suho Kang, Junyoung Kim, Kyungsik Lee(Seoul National University, Department of Industrial Engineering) | |
ÃÖ¿ì¼ö»ó | Strategic bundling approach for gig economy operation of electric scooter recharging | Minjeong Kim, Ilkyeong Moon(Department of Industrial Engineering£¬ Seoul National University) | |
¿ì¼ö»ó | 1Â÷¿ø ÇÕ¼º°ö ½Å°æ¸Á°ú Àû´ëÀû »ý¼º ½Å°æ¸ÁÀ» È°¿ëÇÑ ½Ç½Ã°£ ÀÌ»ó °¨Áö | ¼Û½Âȯ, ¹éÁØ°É(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
¿ì¼ö»ó | ´ÙÁß ½Äº°ÀÚ¸¦ ÀÌ¿ëÇÑ Adversarial Autoencoder ±â¹Ý Á¦Á¶ °øÁ¤ ÀÌ»ó ŽÁö | À̽ÂÈñ, ¹éÁØ°É(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
ÃÖ¿ì¼ö»ó | ¼³ºñÀÇ ¾Ë¶÷ À¯Çü ºÐ·ù¸¦ À§ÇÑ ¿ÀǼ ÀÎ½Ä ½ÉÃþ ½Å°æ¸Á | ±è»óÈÆ, ±è¼º¹ü(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
¿ì¼ö»ó | Modularity Based Mapper Clustering Algorithm for Insurance Customer Data | Juhyun Kim, Kyoungkuk Kim(Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology) | |
15ȸ (2019) |
´ë»ó | ¹°·ù¼¾ÅÍ ³»¿¡¼ÀÇ ´Ù¼ö ·Îº¿ °æ·Î ÃÖÀûÈ | ¿À¼¼¿µ, ÀÌ°æ½Ä(¼¿ï´ëÇб³ »ê¾÷°øÇаú) |
ÃÖ¿ì¼ö»ó | Hub location problem with interaction between hub-to-hub arcs | ½ÅÇý¸², ÀÌÇö·Ï, ÀÌŽÄ(KAIST »ê¾÷¹×½Ã½ºÅÛ°øÇаú) | |
ÃÖ¿ì¼ö»ó | °í°´ Æò°¡ ºÐ¼®À» À§ÇÑ ¸ÖƼ ŽºÅ© ¼øȯ ½Å°æ¸Á ¸ðµ¨ | °Çö±Ô, ±è¼º¹ü(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
ÃÖ¿ì¼ö»ó | Multivariate Stress Scenario Selection in Interbank Networks | ±ÇÀºÁö, ±è°æ±¹(KAIST »ê¾÷¹× ½Ã½ºÅÛ°øÇаú), ¾ÈµµÇö(The Chinese University of Hong Kong) | |
ÃÖ¿ì¼ö»ó | Convolutional LSTMÀ» ÀÌ¿ëÇÑ À¯ÀÇ ÆÄ°í ¹× ÆÄÇâÀÇ ½Ç½Ã°£ ÃßÁ¤ ±â¹ý ¿¬±¸ | ³ë¿µºó, °Çʼº(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
¿ì¼ö»ó | Column Generation Approach for Dynamic Ridesharing Problem | ±èÇö¿ì, ¹®ÀÏ°æ(¼¿ï´ëÇб³ »ê¾÷°øÇаú) | |
¿ì¼ö»ó | F-term ³×Æ®¿öÅ©¿Í link predictionÀ» È°¿ëÇÑ ±â¼ú Æ÷Æ®Æú¸®¿À ±â¹ÝÀÇ ¿ä¼Ò±â¼ú±âȸ ¹ß±¼¹æ¹ý | ÀÌÁöÈ£, °í³²¿í, ¿À½ÂÇö, À±ÀåÇõ(°Ç±¹´ëÇб³ »ê¾÷°øÇаú) | |
¿ì¼ö»ó | 3Â÷¿ø ÇÕ¼º°ö ½Å°æ¸ÁÀ» È°¿ëÇÑ ½Ç½Ã°£ Àü·« °ÔÀÓ ½ÂÆÐ ¿¹Ãø | ¹éÀμº, ±è¼º¹ü(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
¿ì¼ö»ó | A fully polynomial time approximation scheme for the probability maximizing shortest path problem | ÀÌÁö¼±, ÀÌ°æ½Ä, Á¤½½±â(¼¿ï´ëÇб³ »ê¾÷°øÇаú) | |
¿ì¼ö»ó | È¿°úÀûÀÎ ½Ã°è¿ µ¥ÀÌÅÍ ºÐ·ù¸¦ À§ÇÑ µ¿Àû½Ã°£¿Ö°î ±â¹ÝÀÇ ½Ã°è¿ ±æÀÌ º¯È¯ | ÀÌȯö, Çã¼±(ÇѾç´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
14ȸ (2018) |
´ë»ó | An Extended Formulation Approach for the Lot-sizing and Scheduling Problem with Sequence-dependent Setup and Production Run Limit | ÀÌ¿¬¼ö, ÀÌ°æ½Ä(¼¿ï´ëÇб³ »ê¾÷°øÇаú) |
ÃÖ¿ì¼ö»ó | Variational Autoencoder¸¦ È°¿ëÇÑ Á¦Á¶ ½ÇÇà ½Ã½ºÅÛ(MES) ¿Àµ¿ÀÛ Å½Áö | °íºÀ±Õ, ¹éÁØ°É(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
ÃÖ¿ì¼ö»ó | ºÒÈ®½ÇÇÑ µ¶¸³¿îÀü »óȲÀ» °í·ÁÇÑ ¸¶ÀÌÅ©·Î±×¸®µå ¿î¿µ°èȹ ÃÖÀûÈ | ÀÌÁ¾Çå, ÀÌ°æ½Ä(¼¿ï´ëÇб³ »ê¾÷°øÇаú) | |
ÃÖ¿ì¼ö»ó | Ãë¾à¼º ÃÖ¼Òȸ¦ À§ÇÑ ÀüÅõÂ÷·® ±¸¼ºÇ° ¹èÄ¡ | Áö¿ëÈÆ, È«¼ºÇÊ(¼¿ï´ëÇб³ »ê¾÷°øÇаú) | |
ÃÖ¿ì¼ö»ó | ´ÙÁß ¼¾¼ µ¥ÀÌÅÍ ºÐ¼®À» À§ÇÑ ¼³¸í °¡´ÉÇÑ ÇÕ¼º°ö½Å°æ¸Á ¸ðµ¨ | ¾È°ÇÀÌ, ±è¼º¹ü(°í·Á´ëÇб³ »ê¾÷°øÇаú) | |
¿ì¼ö»ó | º¯ºÐ ¿ÀÅäÀÎÄÚ´õ¿Í ¼¼±×³Ý ±â¹Ý ¿þÀÌÆÛ ºÒ·®ÆÐÅÏ Å½Áö | ÀÌâÇö, ±è¼º¹ü(°í·Á´ëÇб³ »ê¾÷°øÇаú) | |
¿ì¼ö»ó | MTS ±â¹ÝÀÇ ´ÜÀÏ Å¬·¡½º ºÐ·ù ±â¹ýÀ» ÀÌ¿ëÇÑ Áøµ¿ µ¥ÀÌÅÍ ±â¹Ý ½Ã½ºÅÛ °íÀå °¨Áö ºÐ¼® | ±è½½±â, Á¤ÀçÀ±(°æÈñ´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
¿ì¼ö»ó | ShowroomingÀ» °í·ÁÇÑ ¿ÀÇÁ¶óÀΠä³ÎÀÇ Àü·« | À̱âÇö, ¹®ÀÏ°æ(¼¿ï´ëÇб³ »ê¾÷°øÇаú) | |
¿ì¼ö»ó | ¹ÝµµÃ¼ ÆÐÅ°Áö °Ë»ç °øÁ¤ÀÇ µ¥ÀÌÅÍ º¯È °¨Áö¸¦ ÅëÇÑ ºÒ·® ¿¹Ãø¸ðµ¨ÀÇ °»½Å Áֱ⠎Áö | Ȳȣ¼±, ¹éÁØ°É(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
13ȸ (2017) |
´ë»ó | Truck-Drone Routing Problem with a Drone Station | ±è¼º¿ì, ¹®ÀÏ°æ(¼¿ï´ëÇб³ »ê¾÷°øÇаú) |
ÃÖ¿ì¼ö»ó | Çù¾÷À» °í·ÁÇÑ ´ë±âµ¿Áö¿øÀÓ¹« ÀÏÁ¤°èȹ ¿¬±¸ | ±è¼öÂù, ÀÌŽÄ(Çѱ¹°úÇбâ¼ú¿ø »ê¾÷¹×½Ã½ºÅÛ°øÇаú) | |
ÃÖ¿ì¼ö»ó | On the generalized mean squared error and its application | À̵¿±Ù, ¹ÚÂù¼® (ºÎ»ê´ëÇб³ »ê¾÷°øÇаú) |
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ÃÖ¿ì¼ö»ó | Ž»ö±¸Á¶ ȸÀüÀÍ Ç×°ø±â °íµµ°èÀÇ »ýÅÂÇÐÀû ÀÎÅÍÆäÀ̽º µðÀÚÀÎ | ±èÇö±â, ¸í³ëÇØ(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
ÃÖ¿ì¼ö»ó | K-S°ËÁ¤(Kolmogorov-Smirnov test)À» ÀÀ¿ëÇÑ ¹ÝµµÃ¼ Á¦Á¶ ½Ã½ºÅÛ¿¡¼ÀÇ ºÒ·® ¿øÀÎ ºÐ¼® ¹æ¹ý·Ð | ¿Á¸íÈÆ, ¹éÁØ°É(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
¿ì¼ö»ó | ·£´ýÆ÷·¹½ºÆ® (Random Forest) ±â¹Ý ´Ù ¹üÁÖ ºÐ·ù±â¸¦ ÀÌ¿ëÇÑ ½Ç½Ã°£ ´ëÁ¶ °ü¸®µµ | ÀÌÁØÇå, ¹éÁØ°É(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
¿ì¼ö»ó | ¹ÝµµÃ¼ Á¦Á¶¶óÀÎ ºÒ·®°øÁ¤¼ø¼ ŽÁö ¹× ÇøÀǼ³ºñ Ž»ö | Á¶À±»ó, ±è¼º¹ü(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
¿ì¼ö»ó | One-Class Classification by Norm Ball Covering | ±è¼¼È, ÀÌ°æ½Ä(¼¿ï´ëÇб³ »ê¾÷°øÇаú) | |
¿ì¼ö»ó | 2-D Non-convex °ø°£¿¡¼ÀÇ Çø¿À½Ã¼³ À§Ä¡ ¼±Á¤À» À§ÇÑ È¥ÇÕÁ¤¼öºñ¼±Çü°èȹ¸ðÇü(MINLP) ¿¬±¸ | ±èÁ¤Èñ, Á¶³²¼®(±¹¹æ´ëÇб³ ±º»ç¿î¿µºÐ¼®Àü°ø) | |
¿ì¼ö»ó | A Branch and Price approach for the Robust Bandwidth Packing Problem with Queuing Delays | ±è¼Èñ, ÀÌÃæ¸ñ(Çѱ¹¿Ü±¹¾î´ëÇб³ »ê¾÷°æ¿µ°øÇаú) |
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±Ý»ó | °ø°£Àû Ư¼ºÀ» Àû¿ëÇÑ LLM ±â¹Ý Ãʹ̼¼¸ÕÁö ½Ã°è¿ ¿¹Ãø | À̽¿ì, ±èµÎÇö(µ¿ÀÇ´ëÇб³ »ê¾÷°æ¿µºòµ¥ÀÌÅÍ°øÇаú) | |
Àº»ó | µµ·Î¸í ÁÖ¼Ò¸¦ È°¿ëÇÑ ÅÃ¹è ¹è¼Û °æ·Î Ž»ö ¹× Åùè ȹ° ÀûÀç º¸Á¶ ¾Û °³¹ß | ÀÌÁø¿ì, Ȳ¿¹Âù, Á¤¿ë, ¹ÚÁö¿µ(Çѱ¹¿Ü±¹¾î´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
Àº»ó | ±³Åë È¥Àâ ÃÖ¼Òȸ¦ À§ÇÑ ±ä±ÞÂ÷·® ¿ì¼±½ÅÈ£ ½Ã½ºÅÛ »óÀÇ ½ÅÈ£ ȸº¹ ÁÖ±â ÃÖÀûÈ | ÀÌ»óÁØ, ±èÅ°æ, ·ù丰, ½ÉÂ÷Çö, ÁÖ¿¹¼(µ¿±¹´ëÇб³ »ê¾÷½Ã½ºÅÛ°øÇаú) | |
µ¿»ó | À̵¿Çü ¹èÅ͸®¸¦ ÀÌ¿ëÇÑ »õ·Î¿î Àü±âÂ÷ ¹æ¹® ÃæÀü ¾Ë°í¸®Áò°ú ½Ã½ºÅÛ | ÀÌÀÇÁø, Á¤°æ¼, ÃÖ¼¿©, Á¤º¸¿¬(Çѱ¹¿Ü±¹¾î´ëÇб³) | |
µ¿»ó | ½ºÅà ¹× ÄÁº£ÀÌ¾î º¯¼ö¿¡ µû¸¥ °ÈÇнÀ ±â¹Ý 3Â÷¿ø ÀûÀç ¹®Á¦ÀÇ ¿ëÀû·ü ºÐ¼® | À¯¼±È£, ±è¿ìÇõ, ¿øÀç»ó(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇкÎ, Çѱ¹°úÇбâ¼ú¿ø Àü»êÇкÎ, Æ÷Ç×°ø°ú´ëÇб³ ÄÄÇ»ÅÍ°øÇаú) | |
µ¿»ó | ÀÚ¿¬¾îó¸® ±â¹Ý °í°´ ÀÀ´ë ½Ã½ºÅÛ ±¸Ãà | ÀÓµµÇö, ±èÂù, ±èÁÖ¿¬, ±ÇÇö°æ(Çѱ¹¿Ü±¹¾î´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
µ¿»ó | ÈÙü¾î »ç¿ëÀÚÀÇ ÁöÇÏö ÀÌ¿ë ÆíÀǼº Çâ»óÀ» À§ÇÑ ÃÖÀû °æ·ÎŽ»ö -ȯ½Â ³À̵µ¿Í È¥Àâµµ Áß½ÉÀ¸·Î- |
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µ¿»ó | ½Ã°¢Àå¾ÖÀÎÀ» À§ÇÑ À̹ÌÁö ±â¹Ý º¹ÇÕ¼îÇθô ±æ ¾È³» ½Ã½ºÅÛ | À̱ԹÎ, Á¶¹ÎÁ¤, Çã °, ±è¹ÎÁö(Çѱ¹¿Ü±¹¾î´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
µ¿»ó | ¼¿ï½Ã ÀÚÀ²ÁÖÇà¹ö½º ¿î¿µ È®´ë¸¦ À§ÇÑ ÃÖÀû ³ë¼± Á¦¾È | ÃÖ¹ÎÁØ, ÇÑ°æÈÆ, ¾ÈÁø¸ð, Á¤ÀÎÅÂ(µ¿±¹´ëÇб³ »ê¾÷½Ã½ºÅÛ°øÇаú) | |
19ȸ(2023) | ´ë»ó | ÀÏ»ó µµº¸¸¦ ÀÌ¿ëÇÏ´Â Crowd-Shipping ¹è´Þ ½Ã½ºÅÛ | ¼ºÇö¼, ÀÌ°¡Èñ, ȲÅ°(Çѱ¹¿Ü±¹¾î´ëÇб³ »ê¾÷°æ¿µ°øÇаú) |
±Ý»ó | Á¦Á¶ ¹°·ù ·Îº¿¿¡¼ÀÇ ´ë±Ô¸ð ¾ð¾î ¸ðµ¨(LLM)À» È°¿ëÇÑ ·Îº¿ Çù¾÷ ÀÎÅÍÆäÀ̽º ±¸Ãà | °°Ç, °¼¿¬, ¹èÁ¤Âù(Çѱ¹°úÇбâ¼ú¿ø (KAIST)) | |
Àº»ó | ±Ø¼Ò·®ÀÇ µ¥ÀÌÅ͸¦ È°¿ëÇÑ È¸±Í¸ðÇü ÃßÁ¤ ¹æ¹ý | ºÎµµÇö, º¯À¯Á¤, ±èÂùÈ£, ÃÖ½ÂÁØ(¼º±Õ°ü´ë ½Ã½ºÅ۰濵°øÇкÎ) | |
Àº»ó | Áö¼Ó °¡´ÉÇÑ ·»ÅÐ ¼ºñ½º ±â¾÷À» À§ÇÑ ¹æ¹® ¼ºñ½º¿ø ÀÏÁ¤ °èȹ | À̵µÇö, Â÷¹Î±Ô, ½ÅÇö°æ, ÀÌÇö¿ì(ÀÎõ´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
µ¿»ó | Áß¼ÒÇü Æó°¡Àü ½º¸¶Æ® ¼ö°ÅÇÔ µµÀÔÀ» À§ÇÑ ¼¾¼ ¾Ë°í¸®Áò ¿¬±¸ | °°æÁØ, ÃÖÁÖ¿µ, ¾È°üÈñ, À±ÂùÈÆ, ÀÌ»óÀ±, ±è¼Ò¿¬, È«Ãá±â(°æ±â´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
µ¿»ó | Open Set Recognition in Automatic Defect Classification System | ¿ìÁö¼ö, ÀÌ°¡¶÷(¸íÁö´ëÇб³ »ê¾÷°æ¿µ°øÇаú, ¿¬¼¼´ëÇб³ »ê¾÷°øÇаú) | |
µ¿»ó | ´ÜÀÏ µµ±Ý¶óÀο¡¼ ÃÖÀûÀÇ µµ±Ý¶óÀÎ ·¹À̾ƿôÀ» °áÁ¤Çϱâ À§ÇÑ ½Ã¹Ä·¹ÀÌ¼Ç ±â¹ÝÀÇ ÅëÇÕ ¿î¿µ ½ºÄÉÁÙ¸µ ¿¬±¸ | °íÁö¹Î, ³ëÅÂÇö, ¿ìŹ±Õ, ±è°üÈ£(ÀÎõ´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
µ¿»ó | µö·¯´× ±â¹Ý º¸ÇàÀÚ ¼Óµµ ºÐ¼® ¹× ±³Åë¾àÀÚ ¾ÈÀü¼º °³¼± Ⱦ´Üº¸µµ ½Ã½ºÅÛ Á¦¾È | ¹ÚÁ¤¹Î, ¼ºÈ£Á¤, ÀÓÇüÁØ, Ãֹμö, ÇãÀç¿ø(µ¿±¹´ëÇб³ »ê¾÷½Ã½ºÅÛ°øÇаú) | |
18ȸ (2022) |
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±Ý»ó | ±³Åë¾àÀÚ¸¦ À§ÇÑ Àú»ó¹ö½ºÀÇ »õ·Î¿î ³ë¼±°ú ÃÖÀû ´ë¼ö »êÁ¤ ¹× Àη ¹èÄ¡ -¾È»ê½Ã¸¦ Áß½ÉÀ¸·Î- | À̵µ°æ, ³²´©¸®, À±Ã¤¿¬, Á¤¿øÁø(°æ±â´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
Àº»ó | Àüºñ º¯µ¿ ¿äÀÎÀ» °í·ÁÇÑ Àü±âÂ÷ ÃÖÀû °æ·Î, ÃæÀü °èȹ ¹× ¼Óµµ Ãß Ãµ ½Ã½ºÅÛ | ÀÌÁ¦¸®¹Ì, °À±¾Æ(Çѱ¹¿Ü±¹¾î´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
Àº»ó | 3DÇÁ¸°Æà »êÃâ¹°ÀÇ Ç¥¸é °áÇÔ Å½Áö ±â¹Ý Ç°Áú º¯µ¿¼º °ü¸® | ±èÁØ¿ì, ±è¸íÁØ, Á¶¼ö¾Æ(ÀÎõ´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
µ¿»ó | Scalogram based Domain Adaptation between Heterogeneous Sensor Signals for Machinery Fault Classification | Á¤¿ëÅÂ, ¹ÚÀ±¿µ(ÀÎõ´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
µ¿»ó | Real-time °´Ã¼ÀÎ½Ä ±â¹ÝÀÇ ½Åȣü°è °³¼± ÇÁ·ÎÁ§Æ® | ±è´ëȯ, º¯ÁöÈÆ(°³²´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
µ¿»ó | À̹ÌÁö ºÐ¼® ±â¹Ý À¯½Ç¹° µî·Ï 꺿 ¼ºñ½º | °Á¤¾Æ, À̼ö¹Î, ÀåÀ¯Áø, ÀÌ¿µÁÖ, ½Å°æÀç(µ¿±¹´ëÇб³ »ê¾÷½Ã½ºÅÛ°øÇаú) | |
µ¿»ó | ´ÙÁß¼Õ»ó»ç°í¿¡¼ ÀÔ¿ø ÀÇ»ç°áÁ¤ ·ê Á¦¾È | ÃÖÀ¯¸²(ÀÎÇÏ´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
µ¿»ó | Ŭ·¯½ºÅ͸µÀ» ÀÌ¿ëÇÑ ½Ç¿Ü °ø±âÁú ÃøÁ¤±â ÀÔÁö ¼±Á¤ | ±è³ª¿¬, ¾çÀ±¼®(Çѱ¹¿Ü±¹¾î´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
µ¿»ó | °ÈÇнÀÀ» È°¿ëÇÑ ¼ö¼ú½Ç ½ºÄÉÁÙ¸µ | ¹ÚÁö¹Î1, °í¿ì¼®2(1Çѱ¹°úÇбâ¼ú¿ø »ê¾÷¹×½Ã½ºÅÛ°øÇаú 2¼¿ï´ëÇб³ »ê¾÷°øÇаú) |
17ȸ (2021) | ´ë»ó | µö·¯´× ¾Ë°í¸®ÁòÀ» ÀÌ¿ëÇÑ ¸Ó½ÅºñÀü±â¹Ý ¸¶½ºÅ© ºÒ·®Ç° °Ë»ç½Ã½ºÅÛ °³¹ß | Ãֿ쿬, Á¶¼ºÈ¯(Çѱ¹¿Ü±¹¾î´ëÇб³ »ê¾÷°æ¿µ°øÇаú) |
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Àº»ó | ºñÀü µ¥ÀÌÅ͸¦ ÀÌ¿ëÇÑ ½Ç½Ã°£ °øÀå ¸ð´ÏÅ͸µ ½Ã½ºÅÛ | °û¼ö°æ, ±è±¤¿ø, ¹Ú¼ö¿Ï, ÃÖ´ÙÀÎ(°æ±â´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
Àº»ó | Çѱ¹ÀÇ °ÅÁÖÁö ¹× ½Ä´çÀÇ À§Ä¡Àû Ư¼ºÀ» °í·ÁÇÑ ¹è´Þ Ç÷§ÆûÀÇ ÇÒ´ç Á¤Ã¥ Á¦¾È : ±ºÁýÈ ±â¹Ý ÁÖ¹® ¹À½ ó¸®, Áö¿¬ Á¤Ã¥, °èÃþÀû ÁÖ¹® ó¸®, ±ºÁýȸ¦ È°¿ëÇÑ ÇÒ´ç ¾Ë°í¸®Áò | ¹ÚÇعÎ(¼¿ï´ëÇб³ »ê¾÷°øÇаú), ÇѱâÇö(¼¿ï´ëÇб³ ¼ö¸®°úÇкÎ) | |
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µ¿»ó | UAM ÃÖÀû ºñÇà°æ·Î Á¦¾È - ¾ÈÀü¼º°ú ÆíÀǼºÀ» °í·ÁÇÑ UAM ÃÖÀû °æ·Î Á¦¾È | À±¼±Áø(¿¬¼¼´ëÇб³ ÀÇ°øÇкÎ), ½Å¿µÀº(¿¬¼¼´ëÇб³ ÈÇаú), ÀÌ¿µ¹Î(¿¬¼¼´ëÇб³ ±â°è°øÇаú) | |
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Àå·Á»ó | ¾ÈÀü¼º°ú È¿À²¼ºÀ» °í·ÁÇÑ K-UAM µ¿Àû ȸ¶û¸Á ±¸Çö | ±èÁöÈ«, ³ëÈñ¿õ(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇкÎ) | |
Àå·Á»ó | ÀÚ¿ø¼øȯ¼¾ÅÍ Á¦Á¶µ¥ÀÌÅ͸¦ È°¿ëÇÑ ³ÃÀå°í 󸮰øÁ¤ÀÇ »ý»ê¼º Çâ»óÇÁ·ÎÁ§Æ® | ÀÌ´Ù¿¬, ±Çâ¿ø, ±ÇÈ£Á¤, ±è¿µ¼ö, ¹Ú¿ì¼®, ¼ÁøÈ£, ÀÓÁØ¿ì, ÀåÁ¾¼º, È«¼ø±â, ȲÀμº(°æ±â´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
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Àå·Á»ó | UI/UX ±â¹ÝÀÇ ÆнºÆ®Çªµå Å°¿À½ºÅ© »ç¿ë¼º °³¼± | ÀÌÁ¤ÈÆ, ±è¼¼·É, ±èÀ¯¹Î, À̱Ը²(Á¶¼±´ëÇб³ »ê¾÷°øÇаú) | |
Àå·Á»ó | ¼Ò¼È °¨¼º µ¥ÀÌÅ͸¦ ÀÌ¿ëÇÑ µö·¯´× ±â¹ÝÀÇ ¾ÏÈ£ÈÆó °¡°Ý ¿¹Ãø ¸ðµ¨ | °í±¤Á¾(Çѱ¹»ê¾÷±â¼ú´ëÇб³ IT°æ¿µÇаú), À̱â¿õ, ÀÓ½ÂÀç(Çѱ¹»ê¾÷±â¼ú´ëÇб³ »ê¾÷°æ¿µÇаú) | |
Àå·Á»ó | ½Ã°£-ÁÖÆļö ½ºÆåÆ®·Î±×·¥ ±â¹Ý ÄÁº¼·ç¼Ç ¿ÀÅäÀÎÄÚ´õ¸¦ ÅëÇÑ ¿À·ù °¨Áö | ÀÌÈ£¿¬, À±µµ½Ä, ÀÓµ¿Çö(ÀÎõ´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
Àå·Á»ó | ´ëÀü½Ã Æ®·¥ ÃÖÀû ¹èÂ÷ °£°Ý ¹× ÃÖÀû ¿îÇà ´ë¼ö °áÁ¤ ¸ðµ¨¸µ | ¾È¿¹Á¤, ±èÁöÇý, ¾ç¿øŹ(Çѹç´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
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µ¿»ó | ´Ü¾î ±ºÁýȸ¦ ÅëÇÑ ½º¹Ì½Ì ŽÁö ±ÔÄ¢ Ãßõ : ½ÅÁ¾ ½º¹Ì½Ì ´Ü¾î ŽÁö¸¦ Áß½ÉÀ¸·Î | ¹ÎÆòÈ«, Á¤±¸¼·, ¹ÚÀç¹Î, ¿ÀÄ¡Çö, ¹æÁöÈÆ, °ûµ¿È¯(µ¿±¹´ëÇб³ »ê¾÷½Ã½ºÅÛ°øÇаú) | |
µ¿»ó | An investigation on the complexity of additive manufacturing and its impact on manufacturing performance | ±è±Ôµ¿, Á¤´ÙÀº, À±µµ½Ä(ÀÎõ´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
µ¿»ó | ½º¸¶Æ® ÆÑÅ丮¿¡¼ µå·Ð °íÀå °¨Áö ¹× À¯Áöº¸¼ö | ¼Û¿ë¿í, ±è±Ô½Ä, ÃÖÁø½Ä, ¼º±¤¸í, ÀÌÇü¹¬(Çѹç´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
Àå·Á»ó | (ÁÖ)Å»êÆÑ ¹è¼Û°ü¸® ½Ã½ºÅÛ ±¸Ãà | ¼ÛÀ±¹ü, À嵿Çõ, ¹ÚÁö¿¬, ÀüÁ¾¹Ì(Çѱ¹¿Ü±¹¾î´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
Àå·Á»ó | Ceiling Fan ½ÅÁ¦Ç° °³¹ßÀ» À§ÇÑ ¼ÒºñÀÚ ¸®ºäºÐ¼® º¸°í¼ | ÀÌ¿ì½Â, ÇÑÀ缺, Á¶¿µÁØ, Á¤ÀçÀº, ¼Ûä°æ(µ¿±¹´ëÇб³ »ê¾÷½Ã½ºÅÛ°øÇаú) | |
Àå·Á»ó | Á¤±Ô È®·ü °úÁ¤ ȸ±Í¸¦ ÀÌ¿ëÇÑ COVID-19 È®ÁøÀ² ÃßÀÌ º¯È ¿¹Ãø - ´ëÁß±³Åë·® ¹× ±â»ó Á¶°Ç º¯È¸¦ Áß½ÉÀ¸·Î | ¾ç½Ã¿µ, À̽ÂÈÆ(°ø±º»ç°üÇб³ ½Ã½ºÅÛ°øÇаú) | |
Àå·Á»ó | ¹è¼ÛÁö °£ Á¢±Ù¼º ¹× ´ÙÁ߸ðµå »ç¿ëÀ» °í·ÁÇÑ °èÃþÀû °æ·Î Ãßõ ½Ã½ºÅÛ | ±èµ¿±Õ1, Â÷ÇüÁÖ2, ÀÌÃæ¸ñ1(1 Çѱ¹¿Ü±¹¾î´ëÇб³ »ê¾÷°æ¿µ°øÇаú, 2 °í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
Àå·Á»ó | ½ÃÂ÷ ¿¬°ü¼º ±ÔÄ¢À» ÀÌ¿ëÇÑ ½º¸¶Æ®ÆÑÅ丮 ½Ã°è¿ µ¥ÀÌÅÍ ºÐ¼® [½º¸¶Æ®ÆÑÅ丮ÀÇ È¿°úÀûÀÎ È°¿ë ¹æ¾È ¿¬±¸] | ±è¼®Âù, Á¶À±¼·, ±è¼±ÈÄ, ³²°æÇö, À̹ÎÁö, ¹ÚÁø¾Æ(µ¿±¹´ëÇб³ »ê¾÷½Ã½ºÅÛ°øÇаú) | |
Àå·Á»ó | ƯÇã ºñ±³ ÁöÇ¥ °³¹ßÀ» ÅëÇÑ ±â¾÷ ±â¼ú°æÀï·Â ºÐ¼® | ±èº´Á¶, ȲÇö, À¯¿ø¿õ, À̽ÂÇö, À̵¿ÁØ, ¼±¿¹ºó(µ¿±¹´ëÇб³ »ê¾÷½Ã½ºÅÛ°øÇаú) | |
Àå·Á»ó | Äڷγª19 ¹ÙÀÌ·¯½º·Î ÀÎÇÑ »ç°ÇÀÌ ±¹³» Á¦¾à¡¤¹ÙÀÌ¿À±â¾÷µéÀÇ ½ÃÀå°¡Ä¡¿¡ ¹ÌÄ¡´Â ¿µÇâ: Ä¡·áÁ¦¿Í Áø´ÜÅ°Æ® Á¦Á¶¾÷ü¿¡ ´ëÇÑ À̺¥Æ® ½ºÅ͵ð | ȲÀÎŹ, ±èÀº¼(¼º±Õ°ü´ëÇб³ ½Ã½ºÅ۰濵°øÇаú) | |
Àå·Á»ó | ½º¸¶Æ® °¡·ÎµîÀ» È°¿ëÇÑ »çȸÀû °Å¸® µÎ±â ¾Ë¶÷ ½Ã½ºÅÛ | À̽¹Ì, ÃÖ´Ù¿µ, ÀÌÅ¿ì(Çѹç´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
Àå·Á»ó | µö·¯´× & ½Ã¹Ä·¹ÀÌ¼Ç ¸ðµ¨¸µ ±â¹Ý °í°¡µµ·Î ö°Å °¡À̵å¶óÀÎ Á¦½Ã | ÃÖÁ¤¹Î, ÃÖÁöÀº, ±è¼¶õ, ÀåÀçÈÆ, Á¤¹Î±¸(¾ÆÁÖ´ëÇб³»ê¾÷°øÇаú) | |
Àå·Á»ó | Áõ°Çö½Ç ±â¹Ý ¸ð¹ÙÀÏ ¹ÙµÏ¾Ë Ãæµ¹ °ÔÀÓÀÇ ¼³°è ¹× ±¸Çö | ¿ø¼ÒÇö, ±èÁö¿ø(¼¿ï°úÇбâ¼ú´ëÇб³ »ê¾÷°øÇаú) | |
15ȸ (2019) |
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±Ý»ó | À̵¿½Ã°£ÀÇ ºÒÈ®½Ç¼ºÀ» °í·ÁÇÑ ´ëÁß ±³Åë ´ÙÁß °æ·Î(Hyper-path) Ãßõ ½Ã½ºÅÛ | Á¤±â¿ø, ±èÁØ¿¬, ±èÇö°æ (Çѱ¹¿Ü±¹¾î´ëÇб³ »ê¾÷°æ¿µ°øÇаú) |
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Àº»ó | µå·ÐÀ» ÀÌ¿ëÇÑ ¾ß¿ÜÁÖÂ÷Àå °ü¸® ½Ã½ºÅÛ | °æÁöÀ±, ±èÁö¿ø, ÀÌÁö¿µ, ÇѼÛÀÌ (Çѱ¹¿Ü±¹¾î´ëÇб³ »ê¾÷°æ¿µ°øÇаú) |
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Àº»ó | ¼Ò¼È ¹Ìµð¾î ½Ã°è¿ ¿¹ÃøÀ» ÀÌ¿ëÇÑ °í°´ ´ÏÁîÀÇ ºÎ»ó¼º ŽÁö :¿öµå ÀÓº£µù, ³×Æ®¿öÅ© ºÐ¼®, LSTM ±â¹ÝÀÇ ºÎ»ó Å°¿öµå ŽÁö ¹æ¹ý | ±è¸í¼·, ¹Ú¿µÀç, À̽ÂÁÖ, À̱ǴÉ(°Ç±¹´ëÇб³ »ê¾÷°øÇаú), ÃÖÀçÀº(°Ç±¹´ëÇб³ °æ¿µÇаú) |
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µ¿»ó | À繫ºñÀ²°ú ±â¼úÀû ºÐ¼®À» ÅëÇÑ AI Æ®·¹À̵ù ¾Ë°í¸®Áò ¸ðµ¨¸µ | Á¤Çؼº, ±è¿ëÇö, Á¤ÁøÅÂ, ÀÓÇÑÁØ, Á¤±â¹é, ÃÖ¿øÈ (ÇѾç´ëÇб³(ERICA) »ê¾÷°æ¿µ°øÇаú) |
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µ¿»ó | ž籤 ¹× °èÅë Àü·ÂÀ» È°¿ëÇÑ °¡Á¤¿ë ESS Peak Management System | ¹Ú¿µ·Ï, ¼Õµ¿¿ø, ÃÖÇϹΠ(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇкÎ) |
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µ¿»ó | Áö¿¬ ½Ã°£À» ÃÖ¼ÒÈÇϱâ À§ÇØ ´ÙÀ½ ÀÛ¾÷µéÀ» °í·ÁÇÏ´Â DQN ±â¹Ý ½ºÄÉÁÙ·¯ | °Çü¿ø, ÀÌÀü¿ì, ÇãÀç¿ì (ÀÎõ´ëÇб³ »ê¾÷°æ¿µ°øÇаú) |
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µ¿»ó | üÇèÇü ¾ÈÀü±³À° °¡»óȯ°æ ±¸Ãà ¹× »ç¿ë¼º Æò°¡ | ¾ç±¤ºó, À±ÀǼ·, ¹ÚÀ¯Áø, Á¤Áø¿µ, ÀÌ¿ëÇö (¾ÆÁÖ´ëÇб³ »ê¾÷°øÇаú) |
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µ¿»ó | Unknown Faults Detection with Convolutional Neural Networks in Automatic Defects Classification System | ÃÖÁ¾°ü, ÁÖÀçÇö (¿¬¼¼´ëÇб³ »ê¾÷°øÇаú) |
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µ¿»ó | °»ç¹ý ´ëºñ °ÀÇ°³¼³ ÃÖÀûÈ | Á¤Àοµ, ±è´ë¿µ, À̽ÂÈ£ (°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇкÎ) |
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Àå·Á»ó | °ÔÀÓ À¯Àú ÀÌÅ» ¿¹Ãø ¹× XAI ±â¹Ý ÃÊ°³ÀÎÈ ÇÁ·Î¸ð¼Ç Á¦¾È | Á¤À±½Ä, Á¶À¯¼±, ¼Ûº¸¹Ì (µ¿±¹´ëÇб³ »ê¾÷½Ã½ºÅÛ°øÇаú) |
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Àå·Á»ó | ±ºÁýºÐ¼®À» ÅëÇÑ °í¼Óµµ·Î ¿ì¼± º¸¼ö±¸°£ ¼±Á¤ ÇÁ·Î¼¼½º | ¼È£Áø, ±è°æ¹«, ±èÈñÀ±, ¼»óÈÆ, Á¤Àº¼ö (±¹¸³°æ»ó´ëÇб³ »ê¾÷½Ã½ºÅÛ°øÇкÎ) |
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Àå·Á»ó | ½º¸¶Æ® ÆÑÅ丮 ±¸ÃàÀ» À§ÇÑ °øÁ¤ ³» ºÒ·®·ü ¿äÀÎ ÃßÃâ ¹× °øÁ¤·¹½ÃÇÇ Á¦¾È | ¹Ú°Ç¿ì, ¼Õ½Âºó(ºÎ»ê´ëÇб³ »ê¾÷°øÇаú), ¹èÀ¯Áø(Áß¾Ó´ëÇб³ ÀÀ¿ëÅë°èÇаú) |
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Àå·Á»ó | CFR-PEEKÀÇ ÀûÃþÁ¦Á¶ ¼º°ú¸¦ °í·ÁÇÑ ÃÖÀû Infill ÆÐÅÏ ¹× ºñÀ²¿¡ ´ëÇÑ ¿¬±¸ | ³ëÈñ³ª, Áø½Â¿ø, Á¤¹®½Ä, ±è¹Î¼ö (ÀÎõ´ëÇб³ »ê¾÷°æ¿µ°øÇаú) |
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Àå·Á»ó | °í¼Óµµ·Î ±¸°£º° Ư¼ºÀ» ¹Ý¿µÇÑ ¼øÂû µå·Ð ¹èÄ¡ ÃÖÀûÈ | Á¶¿ìÁø, ¿ÀÇõÁØ, ±èÀ±Áö, ±èÀºÀ¯ (¾ÆÁÖ´ëÇб³ »ê¾÷°øÇаú) |
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Àå·Á»ó | ȯ°æµ¥ÀÌÅÍ ºÐ¼®À» ÅëÇÑ ½º¸¶Æ®ÆÊÀÇ º´ÃæÇØ ¹ß»ýÀ§Çè ŽÁö ¹× ¾Ë¸² ½Ã½ºÅÛ °³¹ß | ¹Ú¹ÎÁø, ¹ÚÁ¤¹Î, ÀÓä¹Î, ¾çÁø¿µ, ±èÇп¬ (µ¿±¹´ëÇб³ »ê¾÷½Ã½ºÅÛ°øÇаú) |
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Àå·Á»ó | Á¦Á¶ °øÁ¤¿¡¼ Àú¼öÀ² ¼³ºñ °æ·Î ŽÁö¸¦ À§ÇÑ ¸Ó½Å ·¯´× ±â¹ý | ÀÌ¿¬ÁÖ, À̺¸°æ (¿¬¼¼´ëÇб³ »ê¾÷°øÇаú) |
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Àå·Á»ó | ¾îÇø®ÄÉÀ̼ÇÀ» ÀÌ¿ëÇÑ ÁÖÀ¯¼Ò O2O½Ã½ºÅÛ ±âȹ,°ËÁõ ¹× ±¸Çö | Á¤±¤¼ö, °µÎÀ§, ÀÌÁÖÇü, ÀåÁØÈ£, Àü¿¹¸° (µ¿±¹´ëÇб³ »ê¾÷½Ã½ºÅÛ°øÇаú) |
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Àå·Á»ó | ¸®ºä µ¥ÀÌÅÍÀÇ ÆäÀÌÅ© ÇÊÅ͸µÀ» Àû¿ëÇÑ Â÷·® Ãßõ ¼ºñ½º Á¦¾È | ÇϽ¹Î, ¼ÒÇöÁö, ÀÌÈñ¼±, Á¤È¸Ã¶ (µ¿±¹´ëÇб³ »ê¾÷½Ã½ºÅÛ°øÇаú) |
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Àå·Á»ó | µ¥ÀÌÅÍ ÇнÀ ±â¹Ý ·©Å· ¸ðµ¨ ±¸Ãà | ¹Ú¼öÁø, ¼Àå¿ø, ±è¿ë¼±, ±è¹ÎÁÖ, ±è¿µÇÑ (µ¿±¹´ëÇб³ »ê¾÷½Ã½ºÅÛ°øÇаú) |
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14ȸ (2018) |
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±Ý»ó(»êÇÐÇùµ¿Àç´Ü ÀÌ»çÀå»ó) | ÆÐÅϱºÁýȸ¦ ÅëÇÑ ÇлýÁ¶Á¾»ç ±³À° È¿À²¼º °³¼± | ½ÅÀç¿ì, ÀÌÀçºó(°ø±º»ç°üÇб³ ½Ã½ºÅÛ°øÇаú) | |
Àº»ó | ½Ã°è¿ µ¥ÀÌÅÍ ºÐ¼®À» ÅëÇÑ ³Ê¿ï¼º Æĵµ ¹ß»ý °æ°í ½Ã½ºÅÛ | ½Å¿ëÁø, ÀÌ´ÙÁø, Á¶¼¼Àº(Æ÷Ç×°ø°ú´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
Àº»ó | ¼ÕÀÌ ºÒÆíÇÑ »ç¶÷µéÀ» À§ÇÑ °í°´ ¸ÂÃãÇü Çʱ⺸Á¶µµ±¸ | Àå´ÙÇý, ±è°æ¼·, ÀÌÁ¾ÈÆ(¼º°á´ëÇб³ »ê¾÷°æ¿µ°øÇкÎ) | |
µ¿»ó | ¸Ó½Å·¯´×°ú ¼øȯ ½Å°æ¸ÁÀ» ÀÌ¿ëÇÑ ½º¸¶Æ®ÆÑÅ丮 ¿¹Áö º¸Àü ¼Ö·ç¼Ç | ¼Õ¿µÁØ, ±è¹Îö, ±èÁö¿ø, ³²°Ç¿ì, º¯¼ºÈ£(µ¿±¹´ëÇб³ »ê¾÷½Ã½ºÅÛ°øÇаú) | |
µ¿»ó | ºòµ¥ÀÌÅ͸¦ ÀÌ¿ëÇÑ Åýà ½Â°´ ¼ö¿ä¿¹Ãø ¹× À̵¿ÆÐÅϺм® Á¤º¸Á¦°ø ½Ã½ºÅÛ | À±À¯ºó, ±è³ª¿µ, ¾çÇýÁö, ·ù¹ÌÁ¤, È«¿¹¸²(µ¿±¹´ëÇб³ »ê¾÷½Ã½ºÅÛ°øÇаú) | |
µ¿»ó | µ¶°Å³ëÀÎ ÄÉ¾î ½Ã½ºÅÛ °³¼±À» À§ÇÑ IoT ¿¡³ÊÁö¹ÌÅÍ È¿À²Àû ºÐ¹è | ¹®Áؼ®, ÇϼºÀ±, À±¹ÎÁö(¿¬¼¼´ëÇб³ »ê¾÷°øÇаú) | |
µ¿»ó | IoT ±â¹Ý °íÀå¡ÈÄ °¨Áö ¹× ÀÜ¿©¼ö¸í ¿¹Ãø ¾Ë°í¸®Áò °³¹ß | À±±æ¿ø, ¼À§°Ç(Á¶¼±´ëÇб³ »ê¾÷°øÇаú), ¹è¼ö¹Î(¿ëÀÎÇѱ¹¿Ü±¹¾î´ëÇб³ ºÎ¼³°íµîÇб³) | |
µ¿»ó | ÀÚ¿øÀçÈ°¿ë¹ý ½ÃÇà¿¡ µû¸¥ Ä«Æä ¿î¿µ °³¼±Ã¥ ¿¬±¸ | À̼¼¿µ, ¹ÚÁ¤Àº, ±èÁö³ª(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇкÎ) | |
µ¿»ó | ÅÃ¹è ¶ó½ºÆ® ¸¶ÀÏ °øÁ¤¿¡ ´ëÇÑ °øÀ¯ ¸ðÇü | ±èÇöÀÏ, °û±Ôµ¿, ±è¹ÎÁ¤, ½Å¼ö¹Î(°æ¼º´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
Àå·Á»ó | ÇÖ½ºÆÌ ºÐ¼®À» ÀÌ¿ëÇÑ Â÷·® °øȸÀü ´Ü¼Ó ½ºÄÉÁ층 Á¦¾È | ÇÑ¿ëÈñ, ·ù¹ü»ó, ÀÓÁ¤¼·, ÃÖÅÂÈ£, Áø°æÅÂ, ±èŹü(¿¬¼¼´ëÇб³ »ê¾÷°øÇаú) | |
Àå·Á»ó | °ø°øÀÚÀü°Å È°¼ºÈ¸¦ À§ÇÑ Ç÷§Æû ±¸Ãà | ÀüÁÖȯ, ±èµµÇö, ±èÇü¼±, ¿ìÇö, ÀÌÁ¤ÈÆ(°æ±â´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
Àå·Á»ó | ¹üÁË¿¹Ãø¿¡ ±â¹ÝÇÑ °æÂû±Ù¹« È¿À²È¿¡ °üÇÑ ¿¬±¸ | ÀÌ¿µÁØ, À±¼ÒÁ¤, ÀÌÅÂÁØ(È«ÀÍ´ëÇб³ »ê¾÷°øÇаú) | |
Àå·Á»ó | Queueing SystemÀ» ÀÌ¿ëÇÑ ±³Åë¾àÀÚ Æ¯º°±³Åë¼ö´ÜÀÇ È¿À²Àû ÁõÂ÷ ¹æ¾È | Á¤ÁøÇü, ¿©À±±¸, ¹ÚÈ£¼º, °ÁØÇõ, ±èÇкó(°æ±â´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
Àå·Á»ó | ¿ÀÇǴϾð¸¶ÀÌ´×À» È°¿ëÇÑ ½Å±â¼ú ±â¹Ý ½Å¼ºñ½º °³¹ß ÇÁ·Î¼¼½º - 5G ±â¼ú »ç·Ê- | À±Áö¿¬, ÇãÅÂÀ±, ±è»ó¹®, ÃÖ»óÁø, ±è¼±Çý(µ¿±¹´ëÇб³ »ê¾÷½Ã½ºÅÛ°øÇаú) | |
Àå·Á»ó | PC¹æ ¸ÅÃ⠱شëȸ¦ À§ÇÑ ±×·ì °í°´ Àü¿ë ¿¬¼® Á¼® ¿î¿µ¿¡ °üÇÑ ¿¬±¸ | °û¼ºÀÏ, ÀÌ¿ìÁø(¼¼Á¾´ëÇб³ È£Åڰ濵Çаú) | |
Àå·Á»ó | ½ÅÈ£µî µµÀÔÀ» ÅëÇÑ µî±³½Ã°£´ë ±³Â÷·Î ÅëÇà·® Áõ°¡ ¹æ¾È | ¿ÀÁøÈñ, ÇÏÁø¼, ¼´ë±³(µ¿ÀÇ´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
Àå·Á»ó | Á¹¾÷ ¿ä°Ç È®ÀΠ꺿 ¼ºñ½º ±¸Ãà | ÀÌÀ¯¹Î, ±èÈñ°æ, ¿¬Áö³ª, À±Áö¾Æ, Áø¿¹Áö(µ¿±¹´ëÇб³ »ê¾÷½Ã½ºÅÛ°øÇаú) | |
Àå·Á»ó | µö·¯´×À» È°¿ëÇÑ ¹ÝµµÃ¼ Á¦Á¶ ¹°·ù ½Ã½ºÅÛ ÅëÇà·® ¿¹Ãø¸ðµ¨ ¼³°è | ±èÁ¾¸í, È«¼ººó, ±è¿ÁÇö(°¿ø´ëÇб³ »ê¾÷°øÇаú) | |
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13ȸ (2017) |
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Àº»ó | °ø±º ÈÆ·Ã¿ë °æÇ×°ø±â ¿£Áø Á¤ºñÀÛ¾÷ °³¼± | ±è½ÂÁØ, ¿øÁ¾¼(°ø±º»ç°üÇб³ ½Ã½ºÅÛ°øÇаú) | |
Àº»ó | ÁÖÂ÷Àå °ü¸® ½Ã½ºÅÛ°ú ºñÄÜÀ» Á¢¸ñ½ÃŲ »ê¾÷°øÇÐÀû È¿À²¼º ¿¬±¸ | ±è³ª¿¬, °íº´½Ä, ÀÌ¿µÈ¯, ÀÌÁØȯ, ÃÖÀçÀ±, ÇãÁØ(¾ÆÁÖ´ëÇб³ »ê¾÷°øÇаú) | |
µ¿»ó | ³«»ó»ç°í °¨Áö ¹× ¿¹¹æÀ» À§ÇÑ IoT ½º¸¶Æ® Çï¸ä | ¾ÈÁØ¿µ, ±èÂùÈñ, ±è¿µ¼±, Ȳ±ÔÇÏ(¾ÆÁÖ´ëÇб³ »ê¾÷°øÇаú) | |
µ¿»ó | Àΰø ½Å°æ¸Á ±â¹ÝÀÇ ÇØ¿Ü ¼±¹°Áö¼ö ¿¹Ãø ¸ðÇü | ¹èÁö¿ø(È«ÀÍ´ëÇб³ °æ¿µÇаú), ÀÌÁ¾±Ô(È«ÀÍ´ëÇб³ »ê¾÷°øÇаú) | |
µ¿»ó | Á¤¼ö °èȹ¹ý ¹× ÃÖÀûÈ S/W¸¦ ÀÌ¿ëÇÑ ÁÖ°£ »ý»ê°èȹ ¹× ±Ù¹«ÀÚÀÏÁ¤°èȹ ÀÚµ¿È | ÀÌÀÇÀç, ±è»ó·¡, ÀÓÀº¼ö, ÀüÁø¼ö, ¹®¼±¿µ(¼º°á´ëÇб³ »ê¾÷°æ¿µ°øÇкÎ) | |
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µ¿»ó | ½º¸¶Æ® ÆùÀÇ ¼ÒÇÁÆ® Å°º¸µå ¼³°è¸¦ À§ÇÑ Àΰ£°øÇÐÀû ¹öÆ° Å©±â ºÐ¼® | ÀÌ»óÇö, ÃÖÁÖȯ(¿ï»ê´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
µ¿»ó | ¾È¸éÇü»óÀ» °í·ÁÇÑ ¸¶½ºÅ©¿ë ±è¼¸² ¹æÁö ÆÐµå ¼³°è ¹× Æò°¡ | °Çý¸², ¿°¼öºó, ÀÌ»óÇö, À帮³ª, ÃÖÁÖȯ(¿ï»ê´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
Àå·Á»ó | °øÄÁÅ×ÀÌ³Ê Àç¹èÄ¡ ºñ¿ë Àý°¨À» À§ÇÑ Á¢ÀÌ½Ä ÄÁÅ×ÀÌ³Ê ¿î¿ë ¹æ¾È Á¦½Ã | ¿ÕÈñ¿Á, ±è´Ù¼Ø, °ûÁ¾ÈÆ, ±èÅÂȯ, ¹Ú¿ë¼®, ÀÌÀç¿ø(µ¿±¹´ëÇб³ »ê¾÷½Ã½ºÅÛ°øÇаú) | |
Àå·Á»ó | ±â¾÷ ¸®ºä ÅؽºÆ®¸¶ÀÌ´×À» ÅëÇÑ ±â¾÷ ºÐ¼® ½Ã½ºÅÛ °³¹ß | À̽¿í, ÀÌÁ¾ÅÂ, Àü¿µ±Ù, À̼öÇö, ¼Û½Â¿¬(µ¿±¹´ëÇб³ »ê¾÷½Ã½ºÅÛ°øÇаú) | |
Àå·Á»ó | µ¥ÀÌÅÍ ºÐ¼® ¹æ¹ý·Ð ±â¹ÝÀÇ ¿ÍÀÌºí ºÐÀ§¼ö °ü¸®µµ ¼ÒÇÁÆ®¿þ¾î °³¹ßÀ» ÅëÇÑ Ç°Áú°ü¸® °³¼± | À±±æ¿ø, ¹æ¼±È£, ¹ÚÁ¤¿(Á¶¼±´ëÇб³ »ê¾÷°øÇаú) | |
Àå·Á»ó | ¸Ó½Å·¯´× ±â¹ýÀ» È°¿ëÇÑ Á¦Ç°±âȹ ÇÁ·Î¼¼½º °³¹ß | À±Àç°æ, ±èµµ¿¬, ±è¹ÎÁÖ, ¼½Â¿ì, ±è¼ÒÁ¤, ¼ÒÀ¯´Ï(µ¿±¹´ëÇб³ »ê¾÷½Ã½ºÅÛ°øÇаú) | |
Àå·Á»ó | »ç¹°ÀÎÅͳÝÀ» È°¿ëÇÑ ÀÚµ¿ÆǸű⠰ü¸®½Ã½ºÅÛ | Ãß±³¹®, Àå¹Î¼º, ±èÁØÈ£, ±èÇý³ª, ±è¹ÎÁ¤(°æ¼º´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
Àå·Á»ó | ¼¿ï½Ã °ø°øÀÚÀü°Å 'µû¸ªÀÌ' ¼ö¿ä¿¹ÃøÀ» ÅëÇÑ ÃÖÀû ¹èÄ¡ ÇÁ·Î¼¼½º °³¹ß | ±è¿¬°æ, ÀÌÁøȯ, Á¶¼º¹Î, ¹è¸íÈÆ, °£Á¤ÈÆ(µ¿±¹´ëÇб³ »ê¾÷½Ã½ºÅÛ°øÇаú) | |
Àå·Á»ó | Á¦ÁÖµµÀÇ Áö¿ªÆ¯¼ºÀ» ÀÌ¿ëÇÑ CCTV ¼³Ä¡ ÃÖÀû ¹æ¾È | ±è¾Æ¸§, ±è³ª°æ, ±èÁø¼®(°¿ø´ëÇб³ ½Ã½ºÅ۰濵°øÇаú) | |
Àå·Á»ó | ÁöÇÏö ½É¾ß ¿îÇà ÃÖÀûÈ | ÃÖÁ¦ÀÎ, ÀÌ¿ë±Õ, ±ÇÁø¼Ö(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇкÎ) | |
Àå·Á»ó | ÁöÇÏö È¥Àâµµ °³¼±À» À§ÇÑ ºÐ¸®Çü ¿Â÷ µµÀÔ ¹× ½Å ³ë¼± °³Åë | ¿ø¼ºÅÃ, ¹ÚÁ¤ºó, ÀÌ»óÁø, ±è¿µ¹Î, ÀÌÁ¤À±(¾ÆÁÖ´ëÇб³ »ê¾÷°øÇаú) | |
Àå·Á»ó | Ư¼öÇб³ ÇлýµéÀÇ ÆíÀǼº ÁõÁøÀ» À§ÇÑ Æ¯¼öÇб³ ¹ö½º³ë¼± ÃÖÀûÈ | ¹Ú¼ºÁØ, ÇϺ´Çù, ±èÁÖ¿¬, ¹ÚÁö¸í, Àü¼¼Àº, Àü¿ì¼º(¾ÆÁÖ´ëÇб³ »ê¾÷°øÇаú) | |
Àå·Á»ó | ÇÑÁ¤µÈ Á¤º¸°¡ ÁÖ¾îÁø °æÀï ȯ°æ¿¡¼ÀÇ ½Â·ü ¿¹Ãø ¹× °æÀï Àü·« ¼³°è | ÃÖÀμö, À¯Á¤¼ö(°æÈñ´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
Àå·Á»ó | ÈÇаøÀå ¿¬¼â Æø¹ß ¹æÁö¸¦ À§ÇÑ ¼³ºñ ¹èÄ¡ ÃÖÀûÈ | ±èµ¿¿í, ¹ÚÀ¯Áø, À̺´¼±, ÀÌÀ±ÇÑ, ÀÌÇØ°(¾ÆÁÖ´ëÇб³ »ê¾÷°øÇаú) |
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8ȸ (2019) |
ÃÖ¿ì¼ö»ó | 3D ½ºÄµ ±â¹Ý Â÷·® Á¦Á¶°øÁ¤ µðÁöÅÐ °Ë»ç ¹× °¡»ó Á¶¸³ ±â¼ú °³¹ß | ¹ÚÈƼ®, ¹Úµ¿Çö, ¹é¹Î¿ì, ¾öÁÖ¸í, Á¤ÀçÀ±(°æÈñ´ëÇб³ »ê¾÷°æ¿µ°øÇаú), ½Åõ¼¼, Á¤³²¿ë(Çö´ë±â¾ÆÀÚµ¿Â÷ µðÁöÅÐÀ¶ÇÕ»ý±â°³¹ßÆÀ) |
¿ì¼ö»ó | µµ¼ Á¤º¸ ¹× µµ¼ ¸®ºä ±â¹ÝÀÇ ÃâÆÇ»ê¾÷ ºñÁî´Ï½º ¸ðµ¨ ¼³°è | ÃÖÀμö(KAIST »ê¾÷¹×½Ã½ºÅÛ°øÇаú), ¹Ú¼ö°ß(¼þ½Ç´ëÇб³ »ê¾÷Á¤º¸½Ã½ºÅÛ°øÇаú), Á¶¿µÈ¯(KAIST »ê¾÷¹×½Ã½ºÅÛ°øÇаú), ÀÌ俬, ±è¾Æ¿ø(¼þ½Ç´ëÇб³ »ê¾÷Á¤º¸½Ã½ºÅÛ°øÇаú), ±è¿ìâ(KAIST »ê¾÷¹×½Ã½ºÅÛ°øÇаú) | |
¿ì¼ö»ó | ½Ã½ºÅÛ ´ÙÀ̳»¹Í½º¸¦ ÀÌ¿ëÇÑ ¼öÁÖÇü »ê¾÷¿¡¼ÀÇ À¶º¹ÇÕ ½º¸¶Æ® ±â¼ú¿¡ ´ëÇÑ ¹Ì·¡°¡Ä¡ ºÐ¼® | À̵¿°Ç, ¹Úº»¿µ(¸ñÆ÷Çؾç´ëÇб³ Á¶¼±Çؾç°øÇаú) | |
Àå·Á»ó | ÄÜÅÙÃ÷ »ê¾÷ À¶ÇÕ È°¼ºÈ¸¦ À§ÇÑ ¸Ó½Å·¯´× ±â¹ý Àû¿ë - À¥Å÷ÀÇ OSMU °¡´É¼º ¿¹Ãø ¸ðÇü ±¸ÃàÀ» Áß½ÉÀ¸·Î - | Á¶±Ô¿ø, °Çʼº(°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
Àå·Á»ó | Potential Business Partner Recommendation Model Based on Link Prediction Using Deep Learning to Activate Business Trades | À̵¿ÈÆ, ±è°üÈ£(ÀÎõ´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
Àå·Á»ó | µ¿ÀûÅäÇȸ𵨸µ°ú ³×Æ®¿öÅ© ºÐ¼® ±â¹ÝÀÇ ±â¼úÀ¶ÇÕ µ¿ÇâºÐ¼®: ICT-Agritech À¶ÇÕ »ç·Ê ¿¬±¸ | ¹Ú»óÇö, ÃÖ¿µÀç, À̼ºÁÖ(¾ÆÁÖ´ëÇб³ »ê¾÷°øÇаú), ¼³ÇöÁÖ(Ãæ³²´ëÇб³ ±¹°¡¾Èº¸À¶ÇÕÇкÎ) | |
7ȸ (2018) |
ÃÖ¿ì¼ö»ó | ICT À¶ÇÕ ¾ÈÀü±â¼ú À¯ÇüÈ ¹× °³¹ß ¹æ¹ý | Àå¿ìÇö, °¼º½Ä, ½Å¸í¿ì, ÃÖÀ¯¸®, ¼¿ëÀ±(ºÎ°æ´ëÇб³ ¾ÈÀü°øÇаú), ÀÓÁø¼®(»ê¾÷¾ÈÀüº¸°Ç¿¬±¸¿ø) |
¿ì¼ö»ó | Scheduling of Dual-armed Cluster Tools with k-periodic Chamber Cleaning Operations | ÀÌÅ°æ, ÀÌžï(KAIST »ê¾÷ ¹× ½Ã½ºÅÛ°øÇаú) | |
¿ì¼ö»ó | °ø°ø IT ½ÃÀå Á¤º¸±â¼ú µ¿Çâ ¹× Âü¿© ±â¾÷ ¿¬°á¸Á ºÐ¼® | ±è±âÈ«(¼¿ï°úÇбâ¼ú´ëÇб³ ITÁ¤Ã¥Àü¹®´ëÇпø), Á¶³²¿í(¼¿ï°úÇбâ¼ú´ëÇб³ ±Û·Î¹úÀ¶ÇÕ»ê¾÷°øÇаú) | |
Àå·Á»ó | ±â¼ú ºÐ¾ßµéÀÇ µ¿Àû ÁøÈ ¾ç»óÀ» ¹Ý¿µÇÑ À¶ÇÕ±â¼ú °ü·Ã ƯÇãÀÇ Àοë ÆÐÅÏ Å½»ö | Áö¼öÁ¤ , ±Ç¹ÎÁö, ÇÏÁ¤¹®, ¼Õ¼Ò¿µ (¿¬¼¼´ëÇб³ »ê¾÷°øÇаú) | |
Àå·Á»ó | ½º¸¶Æ® Á¦Á¶ ±â¼ú µ¿Çâ ÆľÇÀ» À§ÇÑ ÅäÇÈ ¸ðµ¨¸µ ºÐ¼® | Á¶Àº´©¸®, ÀåÅ¿ì(°æ±â´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
Àå·Á»ó | °¡»óÇö½Ç ±â¹ÝÀÇ ¾÷¹«¿ë °ø°£ À¯Çü ¼±È£µµ Æò°¡ | Á¤¼öȯ, ¹ÚÀçÇö(ÀÎõ´ëÇб³ »ê¾÷°æ¿µ°øÇаú), ±èÇö°æ(±¤¿î´ëÇб³ Á¤º¸À¶ÇÕÇкÎ) | |
6ȸ (2017) |
ÃÖ¿ì¼ö»ó | ±â¼ú Æ÷Æ®Æú¸®¿À¸¦ È°¿ëÇÑ Stacked Denoising Autoencoder±â¹ÝÀÇ ±â¾÷ À¶ÇÕ ±â¼ú Ãßõ | ±Çµæ½Å, ¼Õ¼Ò¿µ(¿¬¼¼´ëÇб³ »ê¾÷°øÇаú) |
¿ì¼ö»ó | ±â¾÷ À¥»çÀÌÆ® ÅؽºÆ® ¸¶ÀÌ´×À» ÀÌ¿ëÇÑ Áö¿ª/ÁÖÁ¦ ±â¹Ý ºñÁî´Ï½º Çù¾÷ ºÐ¼® | ÃÖ¿µÃ¶, °ûµÎÈñ, Á¤¹Î¿ì, À̵¿ÈÆ, ±è°üÈ£(ÀÎõ´ëÇб³ »ê¾÷°æ¿µ°øÇаú) | |
¿ì¼ö»ó | »óÇ¥±Ç Á¤º¸¸¦ È°¿ëÇÑ »ê¾÷ À¶ÇÕ µ¿Ç⠺м® | À̼±Àç, À̼ºÁÖ(¾ÆÁÖ´ëÇб³ »ê¾÷°øÇаú) | |
Àå·Á»ó | Åýà GPS µ¥ÀÌÅÍ ¹× Road2vecÀ» È°¿ëÇÑ Áö¼±¹ö½º ³ë¼± Ãßõ ½Ã½ºÅÛ | ¹ÚÁ¤, ÀÌÁ¤Ç¥, ¼Õ¼Ò¿µ(¿¬¼¼´ëÇб³ »ê¾÷°øÇаú) | |
Àå·Á»ó | È¥ÇÕÇö½Ç ±â¹Ý °¡»ó ½º¸¶Æ® Á¦Á¶ ȯ°æ¿¡¼ÀÇ »óÈ£ÀÛ¿ë ºñ±³ ¿¬±¸ | ¹Ú°æ¹ü, ±èÇö¼®, ÀÌÀç¿(Àü³²´ëÇб³ »ê¾÷°øÇаú) | |
Àå·Á»ó | SVM ±â¹Ý Á¦Á¶-¼ºñ½º ±â¼ú À¶ÇÕ ¿¹Ãø | ¼ÇѺó(¼¿ï°úÇбâ¼ú´ëÇб³ µ¥ÀÌÅÍ»çÀ̾ð½ºÇаú), ÀÌÇп¬(¼¿ï°úÇбâ¼ú´ëÇб³ ±Û·Î¹úÀ¶ÇÕ»ê¾÷°øÇаú) |
ȸ (³âµµ) | ¼ö»óÀÚ (¼Ò¼Ó) |
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34ȸ (2024) | º¯ÀçÇö ±³¼ö(°æ»ó±¹¸³´ëÇб³) |
33ȸ (2023) | ·ùŹü ±³¼ö(Çѹç´ëÇб³) |
32ȸ (2022) | ±¸Æòȸ ±³¼ö(ºÎ°æ´ëÇб³) |
31ȸ (2021) | ÀÌ°æ½Ä ±³¼ö(¼¿ï´ëÇб³) |
30ȸ (2020) | ±èű¸ ±³¼ö(Çѹç´ëÇб³) |
29ȸ (2019) | ÀÌÇп¬ ±³¼ö(¼¿ï°úÇбâ¼ú´ëÇб³) |
28ȸ (2018) | À̵¿Èñ ±³¼ö(ÇѾç´ëÇб³) |
27ȸ (2017) | ½ÅÇÏ¿ë ±³¼ö(KAIST) |
26ȸ (2016) | ÀÌ´öÁÖ ±³¼ö(¼¿ï´ëÇб³) |
25ȸ (2015) | ÀÌÅÂ½Ä ±³¼ö(KAIST) |
24ȸ (2014) | À±¿ø¿µ ±³¼ö(ºÎ»ê´ëÇб³) |
23ȸ (2013) | ¹èÇý¸² ±³¼ö(ºÎ»ê´ëÇб³) |
22ȸ (2012) | ÀÌ¿ëÇÑ ±³¼ö(µ¿±¹´ëÇб³) |
21ȸ (2011) | ¼Á¤´ë ±³¼ö(°¡Ãµ´ëÇб³) |
20ȸ (2010) | ±è±¤Àç ±³¼ö(POSTECH) |
19ȸ (2009) | ±è¿ìÁ¦ ±³¼ö(¼¿ï»ê¾÷´ëÇб³) |
18ȸ (2008) | - |
17ȸ (2007) | ¼¼ø±Ù ±³¼ö(µ¿¾Æ´ëÇб³) |
16ȸ (2006) | ¹Ú»óÂù ±³¼ö(KAIST) |
15ȸ (2005) | ±è³²±â ±³¼ö(Àü³²´ëÇб³) |
14ȸ (2004) | ¹éÀåÇö ±³¼ö(ÀüºÏ´ëÇб³) |
13ȸ (2003) | ÀüÄ¡Çõ ±³¼ö(Æ÷Ç×°ø°ú´ëÇб³) |
12ȸ (2002) | ±è¿µÈ£ ±³¼ö(¼¿ï´ëÇб³) |
11ȸ (2001) | ÀÌÅÂ¾ï ±³¼ö(Çѱ¹°úÇбâ¼ú¿ø) |
10ȸ (2000) | ¹Ú¼º¼ö ±³¼ö(Çѱ¹°úÇбâ¼ú¿ø) |
9ȸ (1999) | ±è±¤Àç ±³¼ö(Æ÷Ç×°ø°ú´ëÇб³) |
8ȸ (1998) | ¿°ºÀÁø ±³¼ö(Çѱ¹°úÇбâ¼ú¿ø) |
7ȸ (1997) | ÀÌâÈÆ ±³¼ö(¼¿ï´ëÇб³) |
6ȸ (1996) | ¹Ú¾çº´ ±³¼ö(°æÈñ´ëÇб³) |
5ȸ (1995) | ¹®ÀÏ°æ ±³¼ö(ºÎ»ê´ëÇб³) |
4ȸ (1994) | ±è¼ºÀÎ ±³¼ö(°í·Á´ëÇб³) |
3ȸ (1993) | ¼¼®È¯ ±³¼ö(Æ÷Ç×°ø°ú´ëÇб³) |
2ȸ (1992) | ±è¿µ´ë ±³¼ö(Çѱ¹°úÇбâ¼ú¿ø) |
1ȸ (1991) | ÀÌÈ¿¼º ±³¼ö(°æÈñ´ëÇб³) |
»ç´Ü¹ýÀÎ ´ëÇÑ»ê¾÷°øÇÐȸÀÇ ±â±ÝÀº ¹é¾Ï»ó±â±Ý, Á¤ÇåÀç´ÜÃâÆDZâ±Ý, ±¹Á¦ÇмúÈ°µ¿±â±Ý, ±Çżº±â±Ý, ¹Ð·¹´Ï¾öÆݵå·Î ±¸¼ºµÇ¾î ÀÖ´Ù.
¹®ÀÇó | ´ëÇÑ»ê¾÷°øÇÐȸ »ç¹«±¹ (Tel: 02-523-3095 E-mail: admin@kiie.org) |
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ÀԱݰèÁ | ±¹¹ÎÀºÇà: 010-01-0569-460, ¿¹±ÝÁÖ: (»ç)´ëÇÑ»ê¾÷°øÇÐȸ |
±â±Ý | ±Ý¾× | ±âºÎÀÚ (¼Ò¼Ó) |
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¹é¾Ï»ó±â±Ý (1990³â) |
10,000,000 | ͺ ÇÔÀοµ ±³¼ö¡¡ |
¹é¾Ï»ó±â±Ý (2006³â) |
1,000,000 | ±è´ö¼ö ±³¼ö(ÇѾç´ëÇб³) |
1,000,000 | ±èÅÂ¿î ±³¼ö(°æ¼º´ëÇб³) | |
1,000,000 | ³ëÇü¹Î ¹Ú»ç(KIST) | |
1,000,000 | ¹ÚÃ῱ ±³¼ö(µ¿±¹´ëÇб³) | |
1,000,000 | º¯ÀçÇö ±³¼ö(°æ»ó´ëÇб³) | |
1,000,000 | ¾çÅÂ¿ë ±³¼ö(KAIST Business Economics) | |
1,000,000 | Á¤¹«¿µ ±³¼ö(¿ï»ê°úÇбâ¼ú´ëÇб³) | |
1,000,000 | Á¶±Ô°© ±³¼ö(ºÎ»ê´ëÇб³) | |
1,000,000 | ä°æö ±³¼ö(KAIST) | |
1,000,000 | ÃÖº´±Ô ±³¼ö(KAIST) | |
1,000,000 | ÇÑ°üÈñ ±³¼ö(°æ»ó´ëÇб³) | |
1,000,000 | Á¤¹Î±Ù ±³¼ö(Æ÷Ç×°ø°ú´ëÇб³) | |
1,000,000 | »ê¾÷°øÇבּ¸Á¤º¸¼¾ÅÍ (úÞ Å×Å©³ë°æ¿µ¿¬±¸Á¤º¸¼¾ÅÍ) | |
500,000 | °í⼺ ±³¼ö(°æ¼º´ëÇб³) | |
500,000 | ±è°©È¯ ±³¼ö(ºÎ»ê´ëÇб³) | |
500,000 | ±è±¤Àç ±³¼ö(Æ÷Ç×°ø°ú´ëÇб³) | |
500,000 | ¹®ÀÏ°æ ±³¼ö(ºÎ»ê´ëÇб³) | |
500,000 | ¹Ú¾çº´ ±³¼ö(°æÈñ´ëÇб³) | |
500,000 | ¹ÚÁÖö ±³¼ö(¿ï»ê´ëÇб³) | |
500,000 | À±¿ø¿µ ±³¼ö(ºÎ»ê´ëÇб³) | |
500,000 | À̱¤Çü ±³¼ö(KAIST Àü»êÇаú) | |
500,000 | À̹®±Ô ±³¼ö(°è¸í´ëÇб³ »ê¾÷½Ã½ºÅÛ°øÇкÎ) | |
500,000 | ÀÌö¼ö ±³¼ö(Àü³²´ëÇб³) | |
500,000 | ÀÌÈ£¿ì ±³¼ö(¼º±Õ°ü´ëÇб³) | |
500,000 | ÀÌÈ¿¼º ±³¼ö(°æÈñ´ëÇб³) | |
500,000 | ÀÓ¼®Ã¶ ±³¼ö(¾ÆÁÖ´ëÇб³) | |
500,000 | Àüź¸ ±³¼ö(°¿ø´ëÇб³) | |
500,000 | ȲÇÐÁø ±³¼ö(Á¶¼±´ëÇб³) | |
¹é¾Ï»ó ±â±Ý (2011³â) |
500,000¿ø | ÀÌ°æ½Ä ±³¼ö(Çѱ¹¿Ü±¹¾î´ëÇб³) |
500,000¿ø | Áö¿ë±¸ ±³¼ö(¿¬¼¼´ëÇб³) | |
¹é¾Ï»ó ±â±Ý (2014³â) |
1,000,000 | ÀÌ´öÁÖ ±³¼ö(°æÈñ´ëÇб³) |
300,000 | ¹ÚÁø¿ì ±³¼ö(¼¿ï´ëÇб³) | |
300,000 | ÀÌ°æ½Ä ±³¼ö(¼¿ï´ëÇб³) | |
200,000 | ±è¿µÁø ±³¼ö(ºÎ°æ´ëÇб³) | |
200,000 | ¿À¿ëÈñ ±³¼ö(´ëÁø´ëÇб³) | |
33,500,000¿ø | ÇÕ°è | |
Á¤ÇåÀç´ÜÃâÆDZâ±Ý (1994³â~2000³â) |
100,000,000 | Á¤ÇåÀç´Ü(ÀÌ¿µ¼÷ ÀÌ»çÀå, µ¿ÀϹæÁ÷ ¼¹Î¼®È¸Àå)¡¡ |
±¹Á¦ÇмúÈ°µ¿±â±Ý 1Â÷(1996³â) |
30,000,000 | ICC&IE Á¶Á÷À§¿øȸ ´ëȸÀå: À¯Ã¶Áø(Çö´ëÁ¤°ø), Á¶Á÷À§¿øÀå: ȲÇÐ(KAIST)Á¶Á÷À§¿ø: ±è°©È¯(ºÎ»ê´ëÇб³), ±èº¹¸¸(¿ï»ê´ëÇб³), ±è¼±È£(¸íÁö´ëÇб³)±è¼º½Ä(°í·Á´ëÇб³), ±è¼ö¿ë, ±è¿µ´ë(KAIST), ³ëÀçÁ¤(Çѱ¹Á¤º¸Åë½Å´ëÇпø´ëÇб³), ¸ñÇмö(ºÎ»ê´ëÇб³), ¹®±âÁÖ(µ¿¾Æ´ëÇб³), ¹®ÀÏ°æ(ºÎ»ê´ëÇб³), ¹Ú¹Î¿ë(ÇѾç´ëÇб³), ¹Ú¾çº´(°æÈñ´ëÇб³), ¹ÚÁø¿ì(¼¿ï´ëÇб³), ¹ÚÇØõ(Á¶¼±´ëÇб³), ¼À±È£(°í·Á´ëÇб³), ¼º±â¼®(°¸ª´ëÇб³), À¯¿ÕÁø(°Ç±¹´ëÇб³), À±¿ø¿µ(ºÎ»ê´ëÇб³), ÀÌ°æ±Ù(ºÎ»ê´ëÇб³), À̹®±Ô(°è¸í´ëÇб³), ÀÌÃá½Ä(â¿ø´ëÇб³), ÀÓÃἺ(¿¬¼¼´ëÇб³), Á¤³²±â(Àü³²´ëÇб³), Á¤¹Î±Ù(POSTECH), Á¤Çö¼®(µ¿¼´ëÇб³), ÇѼºÈ£(POSTECH), ȲÈï¼®(µ¿¸í´ëÇб³) |
±¹Á¦ÇмúÈ°µ¿±â±Ý 2Â÷(2010³â) |
30,000,000 | 2010³â Ãá°è°øµ¿Çмú´ëȸ Á¶Á÷À§¿øȸ ½Å¿Ï¼± ±³¼ö(¼º±Õ°ü´ëÇб³) , ÇѼºÈ£ ±³¼ö(POSTECH), º¯ÀçÇö ±³¼ö(°æ»ó´ëÇб³), ¼Á¤´ë ±³¼ö(°æ¿ø´ëÇб³), ¾È¼±ÀÀ ±³¼ö(ÇѾç´ëÇб³) ±èÁ¾È ±³¼ö(°Ç±¹´ëÇб³) ÀÌö¿õ±³¼ö(°í·Á´ëÇб³) ±è½ÅÈ« ±³¼ö(´ë»ó) È«¼ºÈÆ ±³¼ö(ÀüºÏ´ë) ÀÌÀçÇÏ ±³¼ö(³²¼¿ï´ëÇб³) °ø¿ë±¸ ±³¼ö(¼º±Õ°ü´ëÇб³) À̵¿Ã¶ ±³¼ö(Á¦ÁÖ´ëÇб³) |
±Çżº±â±Ý (2003³â) |
50,000,000 | ͺ ±Çżº(¼¿ï»ê¾÷´ë ±Ç¿µ±¹ ±³¼ö Ý«) |
¹Ð·¹´Ï¾öÆݵå (2003³â~2010³â) |
10,000,000 | ¿ÀÇü½Ä ±³¼ö(¼¿ï´ëÇб³) |
5,000,000 | ±è¹ü¼ö ´ëÇ¥(NHN) | |
3,000,000 | ÃÖÈÄ°ï ±³¼ö(¼º±Õ°ü´ëÇб³) | |
3,000,000 | ÀÌÈ£¿ì ±³¼ö(¼º±Õ°ü´ëÇб³) | |
2,000,000 | ¹ÚÁø¿ì ±³¼ö(¼¿ï´ëÇб³) | |
1,000,000 | Á¶¼ºÁØ ±³¼ö(¼¿ï´ëÇб³) | |
1,000,000 | À̸é¿ì ±³¼ö(¼¿ï´ëÇб³) | |
1,000,000 | ÀåÁß¼ø ±³¼ö(¾ÆÁÖ´ëÇб³) | |
10,000,000 | Á¶ºÀÁ¦ ´ëÇ¥(Å©·¹½ºÅõÀÚÀÚ¹®È¸»ç) | |
2,000,000 | ÃÖº´±Ô ±³¼ö(KAIST) | |
1,340,000 | ¾ÈÀç°æ ±³¼ö(¼¿ï»ê¾÷´ëÇб³) | |
1,000,000 | ÀÌÈñ»ó ±³¼ö(¼º±Õ°ü´ëÇб³) | |
2,000,000 | ÀÌÅÂ¾ï ±³¼ö(KAIST) | |
2,700,000 | ÃÖº´±Ô ±³¼ö(KAIST) | |
1,000,000 | ÃÖÈÄ°ï ±³¼ö(¼º±Õ°ü´ëÇб³) | |
5,953,950 | ±³À°°³¹ßº»ºÎ: ¹Ú¾çº´(°æÈñ´ëÇб³), ±èÁ¾È(°Ç±¹´ëÇб³), ±è±¤Àç(POSTECH), À±¸íȯ(¼¿ï´ëÇб³), ÀÌ´öÁÖ(°æÈñ´ëÇб³), ÀÓ¼®Ã¶(¾ÆÁÖ´ëÇб³), Á¶³²¿í(¼¿ï»ê¾÷´ëÇб³), È«¼ºÁ¶(µ¿±¹´ëÇб³) | |
3,000,000 | ͺ ±è¿µ´ë ±³¼ö(KAIST) | |
54,993,950 | ÇÕ°è (±¹Á¦ÇмúÀ׿©±Ý, Á¾½Åȸºñ±â±Ý ÀϺΠÆíÀÔ: 82,677,368¿ø(2010.06 ÇöÀç)) |
|
¹Ð·¹´Ï¾öÆݵå (2017³â) |
300,000 | ÃÖÀÎÂù ±³¼ö(°í·Á´ëÇб³) |
¹Ð·¹´Ï¾öÆݵå (2022³â) |
3,000,000 | È«À¯¼® ±³¼ö(¼¿ï´ëÇб³) |
¹Ð·¹´Ï¾öÆݵå (2024³â) |
2,000,000 | À̵¿È£ ±³¼ö(ÇѾç´ëÇб³) |
»ê¾÷°øÇÐ È«º¸µ¿¿µ»ó Á¦ÀÛ (2021³â) |
10,000,000 | ÀÌÅÂ¾ï ±³¼ö(KAIST) |
ÇÐȸ»ç¹«½Ç ±¸ÀÔ ±â±Ý(1994³â) |
3,000,000 | ÇѹÎÈ« ±³¼ö(°í·Á´ëÇб³) |
2,500,000 | ¿ÀÇü½Ä ±³¼ö(¼¿ï´ëÇб³) | |
2,000,000 | ±èÁö¼ö ±³¼ö(KAIST) | |
2,000,000 | ÀÌ°ü¼® ±³¼ö(È«ÀÍ´ëÇб³) | |
1,700,000 | À̸é¿ì ±³¼ö(¼¿ï´ëÇб³) | |
1,000,000 | ÀÌ´ëÁÖ ±³¼ö(°è¸í´ëÇб³) | |
1,000,000 | Á¤Àǽ ±³¼ö(Æ÷Ç×°ø°ú´ëÇб³) | |
1,000,000 | Á¤¹«¿µ ±³¼ö(¿ï»ê°úÇбâ¼ú´ëÇб³) | |
1,000,000 | ±è¼ºÀÎ ±³¼ö(°í·Á´ëÇб³) | |
1,000,000 | ÇѼºÈ£ ±³¼ö(Æ÷Ç×°ø°ú´ëÇб³) | |
1,000,000 | ¹ÚÁÖ¼® ±³¼ö(°æÈñ´ëÇб³ °æ¿µÇаú) | |
1,000,000 | ¹ÚÃ῱ ±³¼ö(µ¿±¹´ëÇб³) | |
1,000,000 | ¼¼®È¯ ±³¼ö(Æ÷Ç×°ø°ú´ëÇб³) | |
1,000,000 | ÀÌÀºº¹(5´ëȸÀå: 1983-1984) | |
1,000,000 | ͺ ¼´ë¼® ¹Ú»ç(µ¿ÀÏCIM) | |
1,000,000 | ÇÔÁÖÈ£ ¹Ú»ç(Àü¼¿ï´ëÇб³) | |
500,000 | À±¸íȯ ±³¼ö(¼¿ï´ëÇб³) | |
500,000 | ÀÌÁ¾¼ö(ÇÏÀÌÅÍÄ¡) | |
300,000 | À¯Èñõ ±³¼ö(Æ÷Ç×°ø°ú´ëÇб³) | |
2,000,000 | °í·Á´ëÇб³ »ê¾÷°øÇаú ±³¼ö Àϵ¿ | |
1,000,000 | ¼¿ï´ëÇб³ »ê¾÷°øÇаú ±³¼ö Àϵ¿ | |
1,000,000 | Àü³²´ëÇб³ »ê¾÷°øÇаú ±³¼ö Àϵ¿ | |
1,000,000 | ¼þ½Ç´ëÇб³ »ê¾÷°øÇаú ±³¼ö Àϵ¿ | |
1,000,000 | Æ÷Ç×°ø°ú´ëÇб³ »ê¾÷°øÇаú ±³¼ö Àϵ¿ | |
1,000,000 | ¼º±Õ°ü´ëÇб³ »ê¾÷°øÇаú ±³¼ö(½Å¿Ï¼±,ÃÖâÈí,È«¼ø±â) | |
1,000,000 | Æ÷Ç×°ø°ú´ëÇб³ »ê¾÷°øÇаú ±³¼ö Àϵ¿ | |
1,000,000 | KAIST »ê¾÷°øÇаú ±³¼ö Àϵ¿ | |
1,000,000 | â¿ø´ëÇб³ »ê¾÷°øÇаú ±³¼ö Àϵ¿ | |
300,000 | °æ»ó´ëÇб³ »ê¾÷°øÇаú | |
1,000,000 | ÃæûÁöȸ | |
1,000,000 | Àü¹®°¡½Ã½ºÅÛÇÐȸ | |
1,000,000 | PATT¿¬±¸È¸ | |
1,000,000 | µµ¼ÃâÆÇ ±â¼ú | |
1,000,000 | µ¿ÀÏCIM | |
1,000,000 | ÇÏÀÌÅÍÄ¡ | |
1,000,000 | °Å¾ç±Ý¼Ó | |
1,000,000 | »ïÀϽºÅ纣¸£±× | |
1,000,000 | Çö´ëÀüÀÚ | |
1,000,000 | Çö´ëâ¾÷ÅõÀÚ | |
1,000,000 | ȼº»ê¾÷ | |
44,800,000 | ÇÕ°è |