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    97.   110
    Track > Session : > Keynote Speech I
    ¹ßÇ¥Á¦¸ñ : ÀÚµ¿È­·Î¼­ÀÇ ÀΰøÁö´É, ±× À§Çù°ú »õ·Î¿î ±âȸ
    ¹ßÇ¥ÀÚ : À庴Ź (±³¼ö/¼­¿ï´ëÇб³)
    °­¿¬¿ä¾à : ÀΰøÁö´ÉÀÌ ´Ù¸¥ ±â¼ú°ú °¡Àå ±¸º°µÇ´Â Á¡ ÁßÀÇ Çϳª´Â »ç¶÷ÀÇ Á¤½Å ³ëµ¿À» ´ë½ÅÇÑ´Ù´Â °ÍÀÌ´Ù. ¸Ó½Å·¯´×Àº ÇÁ·Î±×·¡¸Ó°¡ ÇÏ´ø ¾Ë°í¸®µë ¼³°è¿Í ÄÚµù ÀÛ¾÷À» ±â°è°¡ ´ë½ÅÇÏ´Â ÀÚµ¿È­ ±â¼úÀÌ´Ù. ¾÷¹« ó¸®ÀÇ ¼Óµµ, È¿À²¼º, »ý»ê¼ºÀ» °í·ÁÇÒ ¶§ ´ëºÎºÐÀÇ ¾÷¹«¿¡¼­ AIÀÇ µµÀÔÀº ¼±ÅÃÀÌ ¾Æ´Ï¶ó Çʼö°¡ µÉ °ÍÀÌ´Ù. ÀÌ´Â ºñÁî´Ï½º...more
    Track > Session : > Keynote Speech I
    ¹ßÇ¥Á¦¸ñ : ÀΰøÁö´ÉÀÌ ¸¸µå´Â 2035 ¹Ì·¡»ó ½ÇÇö¹æ¾È
    ¹ßÇ¥ÀÚ : ÀÌÀ±±Ù (¼ÒÀå/ETRI)
    °­¿¬¿ä¾à : ICT ¹× ÀΰøÁö´É ±â¼úÀÇ ÇöȲÀ» ¾Ë¾Æº¸°í, ´ëÇѹα¹ÀÌ IT °­±¹À» ³Ñ¾î¼­ AI °­±¹À¸·Î ³ª¾Æ°¡±â À§ÇÑ ±¹°¡Àü·«°ú ÀÌ¿¡ µû¸¥ ½Çõ¹æ¾ÈÀ» Á¦¾ÈÇÑ´Ù. ±¹°¡Ã⿬¿¬À¸·Î½áÀÇ Çѱ¹ÀüÀÚÅë½Å¿¬±¸¿øÀÌ ´ëÇѹα¹ÀÇ ÀΰøÁö´É ±¹°¡Àü·«¿¡ ¹ß¸ÂÃç AI ½Ã´ë¸¦ ´ëºñÇϱâ À§ÇÑ ½ÇÇàÀü·«À» ¼³¸íÇÏ°í ÀÌ¿¡ µû¶ó ÆîÃÄÁú ¹Ì·¡»óÀ» ¿¹ÃøÇغ»´Ù.more
    Track > Session : > Keynote Speech II
    ¹ßÇ¥Á¦¸ñ : Learning to Make Decisions Optimally
    ¹ßÇ¥ÀÚ : Á¤ ¼Û (´ëÇпøÀå/KAIST)
    °­¿¬¿ä¾à : One of the grand challenges of networking research today is to build ¡°autonomous¡± or ¡°self-driving¡± networks, where network control decisions are made in real time and in an automated fashion. Yet, building such self-driving networks that are practically deployable has largely remained unrealize...more
    Track > Session : > Keynote Speech II
    ¹ßÇ¥Á¦¸ñ : NVIDIA°¡ ¹Ù¶óº» AIÀÇ ÇöÀç¿Í ¹Ì·¡
    ¹ßÇ¥ÀÚ : À¯ÀÀÁØ (´ëÇ¥/NVIDIA Korea)
    °­¿¬¿ä¾à : AI´Â ÀÌÁ¦ Á×À½ÀÇ °è°î(Chasm)À» Áö³ª µµ¾àÀ» ÇÏ°í ÀÖ½À´Ï´Ù. ¼¼°èÀûÀ¸·Î ¾Õ¼­°¡´Â ¸¹Àº ȸ»çµéÀÌ AI ±â¹ÝÀÇ ¼­ºñ½º¸¦ °³¹ß/±¸ÃàÇÏ¿© ºñ¾àÀûÀÎ µµ¾àÀ» ÇÏ°í ÀÖ½À´Ï´Ù. AI computing platform ȸ»çÀÎ Nvidia´Â AI¸¦ ±¸ÇöÇÏ°íÀÚ ÇÏ´Â ±â¾÷µé¿¡°Ô »ê¾÷º° AI platformÀ» ¸¸µé¾î Á¦°øÇÏ°í À̸¦ ÅëÇÏ¿© AI¼­ºñ½º¸¦ ±¸ÇöÇÏ°íÀÚ ÇÏ...more
    Track > Session : A. URLLC and Its Critical Applications > A1: Â÷·®Åë½Å
    ¹ßÇ¥Á¦¸ñ : ÀÚÀ²ÁÖÇà°ú C-ITS ±â¼ú
    ¹ßÇ¥ÀÚ : ½É»ó±Ô (»ó¹«/Æ柽ÃÅ¥¸®Æ¼½Ã½ºÅÛ)
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    Track > Session : A. URLLC and Its Critical Applications > A1: Â÷·®Åë½Å
    ¹ßÇ¥Á¦¸ñ : ±³ÅëÀÇ ´º Æз¯´ÙÀÓ : À̸ðºô¸®Æ¼ ±â¹Ý À̵¿¼­ºñ½º¿Í Åë½Å
    ¹ßÇ¥ÀÚ : ¹èÈ¿¼ö (±¹Àå/À̸ðºô¸®Æ¼¿¬±¸Á¶ÇÕ)
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    Track > Session : A. URLLC and Its Critical Applications > A1: Â÷·®Åë½Å
    ¹ßÇ¥Á¦¸ñ : 5G¿Í Â÷·®Åë½Å
    ¹ßÇ¥ÀÚ : ¹èÁ¤¼÷ (±â¼úÃÑ°ý/ETRI)
    °­¿¬¿ä¾à : º» °­¿¬¿¡¼­´Â 5G À̵¿Åë½ÅÀÇ ¹öƼÄà ¿µ¿ªÀÇ °¡Àå ´ëÇ¥Àû ºÐ¾ßÀÎ ÀÚÀ² ÁÖÇàÀ» Áö¿øÇϱâ À§ÇÏ¿© ÁøÈ­µÇ¾î¿Â ¼¿·ê·¯ ±â¹ÝÀÇ Â÷·®Åë½Å ±â¼úÀ» ¼Ò°³ÇÑ´Ù. 3GPP Rel.16 NR-V2X¿¡ À̸£±â±îÁö ¼¿·ê·¯ Â÷·® Åë½Å ±â¼úÀÇ Æ¯Â¡°ú ¼º´É, °æÀï ±â¼úÀÎ WAVEÂ÷·® Åë½Å ±â¼ú°úÀÇ ¼º´É ºñ±³, ±×¸®°í ±â¼úÀÇ ¼¼´ëº° ÁøÈ­¿¡ µû¸¥ Â÷·® Åë½Å ±â...more
    Track > Session : A. URLLC and Its Critical Applications > A2: ·Îº¿°ú µå·Ð
    ¹ßÇ¥Á¦¸ñ : ·Îº¿ ±â¼ú µ¿Çâ
    ¹ßÇ¥ÀÚ : ÀÌ»óÈ£ (±×·ìÀå/ABB ÄÚ¸®¾Æ)
    °­¿¬¿ä¾à : Àδõ½ºÆ®¸® 4.0 Æ®·»µå ¹× ½º¸¶Æ®ÆÑÅ丮 Ãß¼¼¿¡ ¹ß¸ÂÃç ·Îº¿ »ê¾÷ÀÇ ÁøÈ­ ¹æÇâÀÌ ±Þ°ÝÈ÷ º¯È­ÇÏ°í ÀÖ½À´Ï´Ù. ÀÌÁ¦ ·Îº¿Àº ´Ù¾çÇÑ ¼Ö·ç¼Ç, ¿¹¸¦ µé¸é ¸Ó½Å ·¯´×(Machine Learning), Àΰø Áö´É(Artificial Intelligence) µî°ú °°Àº ¼ÒÇÁÆ®¿þ¾î ±â¼ú°ú ÇÔ²² ¿¬µ¿µÇ¾î ´õ¿í °íÂ÷¿øÀûÀÎ ÀÚµ¿È­ ¼Ö·ç¼ÇµéÀ» ¸¸µé¾î °¡°í ÀÖ½À´Ï´Ù....more
    Track > Session : A. URLLC and Its Critical Applications > A2: ·Îº¿°ú µå·Ð
    ¹ßÇ¥Á¦¸ñ : ¼ÒÇü ¹«ÀÎÇ×°ø±â ½Ã½ºÅÛ °³¹ß ¹× ºñÇà½ÃÇè
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    Track > Session : A. URLLC and Its Critical Applications > A2: ·Îº¿°ú µå·Ð
    ¹ßÇ¥Á¦¸ñ : ±ºÁýµå·ÐÀ» À§ÇÑ Á¦¾î
    ¹ßÇ¥ÀÚ : ¹®ÁØ (±³¼ö/¼­¿ï½Ã¸³´ëÇб³)
    °­¿¬¿ä¾à : º» °­¿¬¿¡¼­´Â °ÔÀÓÀÌ·ÐÀ» ÀÌ¿ëÇÏ¿© ¿ÏÀüºñÇà °¡´É Çí»ç·ÎÅÍ ¹«Àα⠱׷쿡 ´ëÇÑ ºÐ»ê ±ºÁýÁ¦¾î ¹æ¹ýÀ» Á¦¾ÈÇÑ´Ù. Á¦¾ÈÇÏ´Â ºÐ»ê ±ºÁýÁ¦¾î ÀÌ·ÐÀº °è»ê·®ÀÌ ÃÖ¼ÒÈ­µÇ¼­ ¼³°è°¡ °£´ÜÇÏ°í ´Ù¼öÀÇ Çí»ç·ÎÅÍ ¹«Àα⿡ ´ëÇÑ ÃÖÀû¼º´ÉÀ» º¸ÀåÇÑ´Ù. ´Ù¾çÇÑ ½Ã¹Ä·¹ÀÌ¼Ç ¹× ½ÇÇèÀ» ÅëÇØ Á¦¾ÈÇÏ´Â ÀÌ·ÐÀ» °ËÁõÇÑ´Ù.more
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