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    88.   79
    Track > Session : Digital Transformation and Life > Industrial Digital Twin Platform & Service Technologies
    ¹ßÇ¥Á¦¸ñ : ´ë±Ô¸ð È®À强 ¹× °í½Å·Ú ºÐ»ê ½Ã¹Ä·¹À̼ÇÀ» Áö¿øÇÏ´Â Á¦Á¶ µðÁöÅÐ Æ®À© ÇÁ·¹ÀÓ¿öÅ© ...
    ¹ßÇ¥ÀÚ : ÀÌÀº¼­ (±â¼úÃÑ°ý/ETRI)
    °­¿¬¿ä¾à : Á¦Á¶ µðÁöÅÐÆ®À©¿¡¼­ ´Ù·ç´Â ¹°¸® ÀÚ¿øÀ» Ç¥ÇöÇϱâ À§ÇÑ ´Ù¾çÇÑ Á¤º¸(Á¤Àû/µ¿Àû µ¥ÀÌÅÍ, 3D Çü»ó, ½Ã¹Ä·¹ÀÌ¼Ç ¸ðµ¨, ÀΰøÁö´É ¸ðµ¨ µî)¸¦ ¸ðµÎ Æ÷ÇÔÇÏ°í, »óÇϺΠ¶Ç´Â °°Àº °èÃþ¿¡ ÀÖ´Â ¸ðµ¨ °£ÀÇ ¿¬°ü¼º ¹× µ¿ÀÛ Ç¥Çö¿¡ °üÇÑ Á¤º¸¸¦ ±¸Á¶ÀûÀ¸·Î Ç¥ÇöÇÒ ¼ö ÀÖµµ·Ï ±Ô°ÝÈ­ ÇÑ µðÁöÅÐÆ®À© Ç¥Áظ𵨰ú ½Ç Àû¿ë »ç·Ê¸¦ ¼Ò°³more
    Track > Session : Digital Transformation and Life > Industrial Digital Twin Platform & Service Technologies
    ¹ßÇ¥Á¦¸ñ : Á¦Á¶ ¹× ¼³ºñ¿î¿µÀ» À§ÇÑ ¿¬ÇÕ µðÁöÅÐ Æ®À© ±â¼ú È°¿ë¹æ¾È
    ¹ßÇ¥ÀÚ : ±è¿¬Å (ÀÌ»ç/ÀÌ¿¡ÀÌÆ®)
    °­¿¬¿ä¾à : º» °­¿¬Àº Á¦Á¶ ¹× ¼³ºñ¿î¿µÀ» À§ÇÑ µðÁöÅÐ Àüȯ°ú µðÁöÅÐ Æ®À© ±â¼úÀÇ Àü¹Ý¿¡ ´ëÇÏ¿© ´Ù·ì´Ï´Ù. ´Ù¾çÇÑ Á¾·ùÀÇ Á¦Á¶ ¼³ºñ °£ÀÇ ¿¬°è ±×¸®°í ¼³ºñ¿Í ±â¾÷ÀÇ ·¹°Å½Ã ½Ã½ºÅÛÀÇ ¿¬°è¸¦ ÅëÇÑ »óÈ£¿¬µ¿ ¿¹Ãø/ºÐ¼®ÀÌ °¡´ÉÇÑ ¿¬ÇÕ µðÁöÅÐ Æ®À© ±â¼úÀ» Áß½ÉÀ¸·Î µ¥ÀÌÅÍÀÇ ÃßÃâ/¼öÁý/º¯È¯->¸ðµ¨¸µ ¹× ½Ã¹Ä·¹À̼Ç/ºÐ¼®->½Ã°¢È­ ±¸ÇöÀÇ...more
    Track > Session : Digital Transformation and Life > Industrial Digital Twin Platform & Service Technologies
    ¹ßÇ¥Á¦¸ñ : µðÁöÅÐ Æ®À© ±â¹Ý »ê¾÷Çü ¸ÞŸ¹ö½º Ç÷§Æû ±â¼ú
    ¹ßÇ¥ÀÚ : ±è¿øÅ (±³¼ö/Çѱ¹±â¼ú±³À°´ë)
    °­¿¬¿ä¾à : º» °­Á´ ¸ÞŸ¹ö½ºÀÇ Á¤ÀÇ¿¡ ÀÔ°¢ÇÑ ¸ÞŸ¹ö½º ¹ßÀü·Îµå¸ÊÀ» ±âÁ¸ ¼­ºñ½ºµé¿¡ ´ëÇÑ Ã¼°èÀû ºÐ¼®°ú ºÐ·ù, ±×¸®°í ¹Ì·¡ ¸ÞŸ¹ö½º Çü»ó¿¡ ´ëÇÑ Á¶¸ÁÀ» ÅëÇØ °´°üÀûÀ¸·Î Á¦½ÃÇÑ´Ù. ¶ÇÇÑ, ¼ÒÇÁÆ®¿þ¾î °øÇÐÀû ¹æ¹ý·Ð¿¡ ±Ù°ÅÇÑ »ê¾÷Çü ¸ÞŸ¹ö½ºÀÇ »ç¿ëÀÚ ¿ä±¸»çÇ×µé°ú À̸¦ ±¸ÇöÇϱâ À§ÇÑ ½Ã½ºÅÛ ¿ä±¸»çÇ×µéÀ» Á¤ÀÇÇÑ´Ù. ƯÈ÷, »ê...more
    Track > Session : AI-II > AI-based Network Convergence
    ¹ßÇ¥Á¦¸ñ : AI-assisted RAN-agnostic Communications
    ¹ßÇ¥ÀÚ : À±¼ºÈ¯ (±³¼ö/UNIST)
    °­¿¬¿ä¾à : In this talk, we will discuss RAN-agnostic communication that allows the coexistence of incompatible RANs within the same bandwidth, which is expected to be a key technology of future communications. To envision the concept of RAN-agnostic communication, we will introduce the AI-native algorithm for...more
    Track > Session : AI-II > AI-based Network Convergence
    ¹ßÇ¥Á¦¸ñ : AI Technologies for Energy efficiency in Mobile network
    ¹ßÇ¥ÀÚ : ÀÌÀç¿í (±³¼ö/ºÎ°æ´ë)
    °­¿¬¿ä¾à : ¸ð¹ÙÀÏ ³×Æ®¿öÅ© ±Ô¸ð°¡ Áõ°¡ÇÔ¿¡ µû¶ó ¿¡³ÊÁö ¼Òºñ·® ¶ÇÇÑ Áõ°¡ÇÏ°í ÀÖ´Ù. ÀÌ¿¡ µû¶ó, ¿¡³ÊÁö Àý°¨À» À§ÇÑ ¸ð¹ÙÀÏ ³×Æ®¿öÅ© ±â¼úµéÀÌ ÁÖ¸ñ ¹Þ°í ÀÖ´Ù. ƯÈ÷, °³¹æÇü ¸ð¹ÙÀÏ ³×Æ®¿öÅ© ÇÁ·ÎÁ§Æ®ÀÎ Open RAN ¿¡¼­´Â AI ±â¹ÝÀÇ ¿¡³ÊÁö Àý°¨ ±â¼ú ¹× ÇÁ·¹ÀÓ ¿öÅ©¸¦ Á¤ÀÇÇÏ°í, ¿¡³ÊÁö Àý°¨ ±â¼úÀÌ »ç¿ëµÉ ½Ã³ª¸®¿À¸¦ Á¤ÀÇÇÏ¿´´Ù....more
    Track > Session : AI-II > AI-based Network Convergence
    ¹ßÇ¥Á¦¸ñ : ÀÚ¿ø Á¦ÇÑÀûÀÎ ´Ü¸»¿¡¼­ÀÇ ´ë±Ô¸ð ¸ðµ¨ÀÇ ºÐÇÒ ¿¬ÇÕ ÇнÀ ¹× Ãß·Ð
    ¹ßÇ¥ÀÚ : Ãֹμ® (±³¼ö/°æÈñ´ë)
    °­¿¬¿ä¾à : º» °­¿¬¿¡¼­´Â ÄÄÇ»Æà ¹× ½ºÅ丮Áö ÀÚ¿øÀÌ Á¦ÇÑÀûÀÎ ¿¡Áö ±â±â¿¡¼­ÀÇ È¿À²ÀûÀÎ ¿¬ÇÕ ÇнÀ ¹× Ãß·Ð °úÁ¤À» À§ÇÑ ±â¼úÀ» ¼Ò°³ÇÑ´Ù. ¸ðµ¨À» ºÐÇÒÇÏ¿© ÇнÀ°ú Ãß·Ð ÀÛ¾÷À» ´Ù¸¥ ±â±â ¶Ç´Â ¼­¹ö¿Í ³ª´©¾î ó¸® ¹× ÀúÀåÇÏ°í, ´ÙÁß Ãâ·Â ½Å°æ¸Á ±â¹ÝÀ¸·Î °³ÀÎÈ­ ¹× ÀϹÝÈ­ Ãß·Ð ÀÛ¾÷ÀÇ ¼±ÅÃÀû ¿ÀÇÁ·Îµù ¾Ë°í¸®ÁòÀ» ¼³°èÇÑ´Ù. ¸¶Áö...more
    Track > Session : AI-II > Distributed Autonomous Learning
    ¹ßÇ¥Á¦¸ñ : Private 5G ±â¹ÝÀÇ AI ±â¼úÀ» È°¿ëÇÑ °Å¹ö³Í½º °íµµÈ­
    ¹ßÇ¥ÀÚ : ±è¸íÈ£ (ºÎ»çÀå/ÄïÅØ)
    °­¿¬¿ä¾à : ÃÖ±Ù Private 5G ¸ÁÀ» ±¸ÃàÇÏ·Á´Â Á¶Á÷ÀÌ Á¡Á¡ Áõ°¡ÇÏ°í ÀÖÀ¸¸ç, Private 5G ¸ÁÀÌ Á¶Á÷³»¿¡ ±¸ÃàµÇ¸é ±¸Ãà ¸ñÀû¿¡ µû¶ó ´Ù¾çÇÑ Á¤º¸°¡ Á¶Á÷³»¿¡ ½Ç½Ã°£À¸·Î ¼öÁýµÇ°í ÀÚ»êÈ­µÈ´Ù. ÀÌ ÀÚ»êÈ­µÈ Á¤º¸¿¡ AI ±â¼úÀ» È°¿ëÇϸé Á¶Á÷ÀÇ ¾÷¹« »ý»ê¼º, ÇÁ·Î¼¼½º ¸ð´ÏÅ͸µ, º¸¾È À̽´ ¿¹Ãø µî ´Ù¾çÇÑ Á¶Á÷ÀÇ ¿ª·® Áõ°¡¿Í ¸®½ºÅ© °ü¸®...more
    Track > Session : AI-II > Distributed Autonomous Learning
    ¹ßÇ¥Á¦¸ñ : Distributed Learning for User Association in Multi-Cell Network
    ¹ßÇ¥ÀÚ : ÀÓº´ÁÖ (±³¼ö/ºÎ°æ´ë)
    °­¿¬¿ä¾à : º» ¹ßÇ¥¿¡¼­´Â ´ÙÁß ¼¿ ³×Æ®¿öÅ©¿¡¼­ Æ®·¡ÇÈÀ» ºÐ»ê½ÃÅ°±â À§ÇÑ ºÐ»ê ÇнÀ ±â¹ÝÀÇ »ç¿ëÀÚ Á¢¼Ó ±â¼ú¿¡ ´ëÇØ ¼Ò°³ÇÑ´Ù. ƯÈ÷ ºÐ»ê °­È­ÇнÀ ±â¹ýÀ» ¼Ò°³ÇÏ°í ´ÙÁß ¼¿°£ Çù·Â ±â¼úÀ» ÅëÇÑ »ç¿ëÀÚ Á¢¼Ó ±â¼ú¿¡ ´ëÇØ ³íÀÇÇÑ´Ù.more
    Track > Session : AI-II > Distributed Autonomous Learning
    ¹ßÇ¥Á¦¸ñ : An Efficient Federated Learning Framework at LEO Satellites Network
    ¹ßÇ¥ÀÚ : ¼ÒÁøÇö (±³¼ö/DGIST)
    °­¿¬¿ä¾à : Large-scale deployments of low Earth orbit (LEO) satellites collect massive amount of Earth imageries and sensor data, which can empower machine learning (ML) to address global challenges such as real-time disaster navigation and mitigation. In this talk, I show fundamental challenges in applying ex...more
    Track > Session : AI-II > AI Software and Algorithms
    ¹ßÇ¥Á¦¸ñ : Adversarial Attacks on Deep Learning-based Biometrics
    ¹ßÇ¥ÀÚ : ÀÌÀ±±Ô (±³¼ö/È«ÀÍ´ë)
    °­¿¬¿ä¾à : Deep learning-based biometrics have been widely adopted across diverse applications. However, recent studies have uncovered vulnerabilities in deep learning-based systems against adversarial attacks. This lecture will discuss the key issues regarding adversarial attacks in biometrics and suggest fut...more
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