• Àλ縻
  • Á¶Á÷Á¶Á÷
  • ÇÁ·Î±×·¥ÇÁ·Î±×·¥
  • µî·Ï/Âü°¡¾È³»µî·Ï/µî·Ï/Âü°¡¾È³»
  • °Ô½ÃÆÇ °Ô½ÃÆÇ
  • Past KRnet
  • ¼¼ºÎÇÁ·Î±×·¥

    ¼¼ºÎÇÁ·Î±×·¥

     

    85.   39
    Track > Session : Cloud Data Center > Compute/Storage/Network Virtualization
    ¹ßÇ¥Á¦¸ñ : Ŭ¶ó¿ìµå ³×ÀÌƼºê ÄÄÇ»Æà ȯ°æ¿¡ ÃÖÀûÈ­µÈ ½ºÅ丮Áö ±¸ÇöÇϱâ
    ¹ßÇ¥ÀÚ : ¼­»ó¿ø (Â÷Àå/Çѱ¹ ³Ý¾Û)
    °­¿¬¿ä¾à : • Ŭ¶ó¿ìµå ³×ÀÌƼºê ÄÄÇ»Æðú ¾îÇø®ÄÉÀ̼ÇÀ» À§ÇÑ ½ºÅ丮Áö ¾ÆÅ°ÅØó ¹× ¹æ¾È • Docker, Kubernetes¿¡¼­ ½ºÅ丮Áö °ü¸® ¹æ¾È • DevOps / Microservice À» À§ÇÑ ½ºÅ丮Áö ±¸Çö ¹æ¾Èmore
    Track > Session : Cloud Data Center > Compute/Storage/Network Virtualization
    ¹ßÇ¥Á¦¸ñ : KOREN ±â¹Ý ³×Æ®¿öÅ© °¡»óÈ­ ±¸Ãà ¹× »ç·Ê
    ¹ßÇ¥ÀÚ : ¹ÚÃá°É (ÆÀÀå/KT)
    °­¿¬¿ä¾à : º» °­¿¬Àº KT Infra¿¬±¸¼Ò°¡ Çѱ¹Á¤º¸È­ÁøÈï¿ø°ú ¡®17³âºÎÅÍ ¡®19³â±îÁö 3³â°£ ÁøÇàÇÏ°í ÀÖ´Â ¹Ì·¡³×Æ®¿öÅ©¼±µµ¿¬±¸¸Á(KOREN) ±â¹Ý ¼ÒÇÁÆ®¿þ¾îÁ¤ÀÇ ÀÎÇÁ¶ó(SDI) ±¸Ãà»ç¾÷ÀÇ ÇöȲ ¹× °¡»óÈ­ ¼­ºñ½º »ç·Ê¿¡ ´ëÇÑ ¹ßÇ¥¸¦ ÁøÇàÇÕ´Ï´Ù. ƯÈ÷ Àü±¹ 10°³ ³ëµå¸¦ ¿ÏÀüÇÑ ¡°All Node SDI¡±·Î ÀüȯÇϱâ À§ÇØ 1Â÷³âµµ¿¡ ÃßÁøÇÑ ¼º°ú¿¡ ...more
    Track > Session : Artificial Intelligence & Big Data > Deep Learning: Basic
    ¹ßÇ¥Á¦¸ñ : ±â°èÇнÀ ±âÃʼöÇÐ
    ¹ßÇ¥ÀÚ : ½ÅºÀ±â (±³¼ö/ºÎ°æ´ëÇб³)
    °­¿¬¿ä¾à : ¸¹Àº »ç¶÷µéÀÌ ±â°èÇнÀ (¿¬±¸°³¹ß)À» ÇÑ´Ù°í ÇÑ´Ù. ½ÉÃþÇнÀµµ ±×·¸´Ù. ±×·¸´Ù, ´©±¸³ª ÇÒ ¼ö ÀÖ´Ù. ´ëÇÐ Ãʳ⿡ ¹è¿î Á¤µµÀÇ ¼öÇÐ ½Ç·ÂÀÌ¸é °ÅÀÇ ÃæºÐÇϱ⠶§¹®ÀÌ´Ù. ±×·±µ¥ ±× ¼öÇÐÀ» Àß ÀÌÇØÇÏ°í È°¿ëÇÒ ÁÙ ¾È´Ù¸é µÎ²¨¿î Ã¥ ¼ÓÀÇ ±× ¸ðµç ±â°èÇнÀ À̷еéÀ» ¸íÄèÇÏ°Ô ²ç¶Õ¾î º¼ ¼ö ÀÖÀ» Áö ¸ð¸¥´Ù. ±× ¸¹Àº À̷еéÀÌ ...more
    Track > Session : Artificial Intelligence & Big Data > Deep Learning: Application
    ¹ßÇ¥Á¦¸ñ : Convolutional Neural Networks
    ¹ßÇ¥ÀÚ : ±èÀÎÁß (±³¼ö/Çѵ¿´ëÇб³)
    °­¿¬¿ä¾à : Convolutional Neural Networks(CNN) is a deep learning architecture designed to mimic visual system of human. CNN is known as the best deep learning model in recognition, processing, synthesis, and transform of images. CNNs also provide good performances in other tasks including NLP and speech proces...more
    Track > Session : Artificial Intelligence & Big Data > Deep Learning: Application
    ¹ßÇ¥Á¦¸ñ : Deep Reinforcement Learning
    ¹ßÇ¥ÀÚ : ¹ÚÁÖ¿µ (±³¼ö/°í·Á´ëÇб³)
    °­¿¬¿ä¾à : ±íÀº °­È­ÇнÀ(Deep Reinforcement Learning)Àº Çö´ë ÀΰøÁö´É ±â¼ú Áß °¡Àå È°¹ßÇÑ ¿¬±¸°¡ ÀÌ·ç¾îÁö´Â ºÐ¾ß Áß Çϳª·Î¼­, È­ÇнÀ, Á¦¾îÀÌ·Ð ¹× µö·¯´× ±â¼úÀÌ °áÇÕµÇ¾î ½Ã³ÊÁö È¿°ú¸¦ °ÅµÎ¸ç ±Þ¼ÓÇÑ ¹ßÀüÀ» ÀÌ·ç°íÀÖ´Ù. º» °­Á¿¡¼­´Â ±íÀº °­È­ÇнÀ ±â¼úÀÇ °ú°Å¿Í ÇöÀ縦 ±¸¼ºÇÏ´Â ÁÖ¿ä ÁÖÁ¦ÀÎ Controlled Ito Proce...more
    Track > Session : Artificial Intelligence & Big Data > Big Data
    ¹ßÇ¥Á¦¸ñ : ¿ÀÇ»çÀÌ¾ð½º½Ã´ë ¿¬±¸µ¥ÀÌÅÍÀÇ °øÀ¯ ¹× È°¿ë µ¿Çâ
    ¹ßÇ¥ÀÚ : ½ÅÀºÁ¤ (¿¬±¸À§¿ø/°úÇбâ¼úÁ¤Ã¥¿¬±¸¿ø)
    °­¿¬¿ä¾à : º» ¹ßÇ¥´Â ¿ÀÇ»çÀ̾ð½ºÀÇ ÇÙ½É ¿µ¿ªÀ¸·Î ºÎ»óÇÏ°í ÀÖ´Â ¿¬±¸µ¥ÀÌÅÍÀÇ °øÀ¯ È°¿ë µ¿Çâ¿¡ ´ëÇØ ¼Ò°³ÇÏ°í ±¹³» Á¤Ã¥ ¹× ¿¬±¸ÇöÀå¿¡ ´øÁö´Â ½Ã»çÁ¡À» °íÂûÇÏ°íÀÚ ÇÑ´Ù. ƯÈ÷, Á¤Ã¥Àû Â÷¿ø¿¡¼­ ¹Ì±¹, ¿µ±¹, È£ÁÖ µîÀÇ ÁÖ¿ä ¼±Áø±¹ ¹× ±¹³»¿¡¼­ ÃßÁøµÇ°í ÀÖ´Â ¿¬±¸µ¥ÀÌÅÍ °øÀ¯ È°¿ë µ¿ÇâÀ» ¼Ò°³ÇÏ°í Çö¾È °úÁ¦¸¦ Á¡°ËÇÏ°í ÇâÈÄ ...more
    Track > Session : Artificial Intelligence & Big Data > Big Data
    ¹ßÇ¥Á¦¸ñ : Analytics on AWS
    ¹ßÇ¥ÀÚ : ¾ÈÁØÇÊ (Solutions Architect (ÀÌ»ç)/Amazon Web Services)
    °­¿¬¿ä¾à : ¸ð´ø µ¥ÀÌÅÍ ¾ÆÅ°ÅØÃÄ¿¡ »ìÆ캸¸ç, ºòµ¥ÀÌÅÍ ºÐ¼®¿¡ ´ëÇÑ ¾î·Á¿ò°ú ÁøÀÔ À庮¿¡ ´ëÇÑ ÀÌÇظ¦ ¹ÙÅÁÀ¸·Î ºòµ¥ÀÌÅÍ Ã³¸®¸¦ ´Ü¼øÈ­ÇÏ´Â ¹æ¹ý ¹× ±â¼úµéÀ» ¾Ë¾Æº¸°í, ÅؽºÆ® µ¥ÀÌÅÍ ¹× ¸ÖƼ¹Ìµð¾î µ¥ÀÌÅÍ ºÐ¼®À» À§ÇÑ ¸Ó½Å·¯´× ÇÁ·¹ÀÓ¿öÅ©¸¦ ¼Ò°³ÇÏ°í, ÇöÀç »ç¿ëµÇ°í ÀÖ´Â ¾ÆÅ°ÅØÃÄ ¹× µðÀÚÀÎ ÆÐÅϵéÀ» ¼Ò°³ÇÏ´Â ¼¼¼ÇÀÌ´Ù.more
    Track > Session : Artificial Intelligence & Big Data > Big Data
    ¹ßÇ¥Á¦¸ñ : ±â»ó ºòµ¥ÀÌÅÍÀÇ ÀΰøÁö´É ºÐ¼® »ç·Ê ¼Ò°³
    ¹ßÇ¥ÀÚ : ¼Û»ç±¤ (Ã¥ÀÓ¿¬±¸¿ø/Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø)
    °­¿¬¿ä¾à : º» ¹ßÇ¥¿¡¼­´Â ´Ù¾çÇÑ ±â»ó ºòµ¥ÀÌÅÍ¿¡ µö·¯´× ±â¼úÀ» Àû¿ëÇÏ¿© ÅÂdzÀ̳ª Æø¿ì µîÀÇ ±â»ó Àç³­ ¿¹Ãø ¿¬±¸ »ç·Ê¸¦ ¼Ò°³ÇÑ´Ù. ±â»ó ·¹ÀÌÅÍ ¿µ»ó, À§¼º ¿µ»ó, ¼¾¼­ µ¥ÀÌÅÍ µî ´Ù¾çÇÑ ºòµ¥ÀÌÅ͸¦ ÀÔ·ÂÀ¸·Î CNN, LSTM µî ÃÖ½ÅÀÇ µö·¯´× ±â¹ýÀ» È°¿ëÇÏ¿© È«¼ö ¿¹Ãø, °­¿ì·® ¿¹Ãø, ÅÂdz ¿¹Ãø µîÀÇ ÁÖ¿äÇÑ ±â»ó À̺¥Æ® ¿¹Ãø ±â¼ú »ç...more
    Track > Session : ÀúÁö¿¬ °í½Å·Ú »ê¾÷À¶ÇÕ ÀÎÇÁ¶ó > »ê¾÷À¶ÇÕ ÀÀ¿ë ¹× µ¿Çâ
    ¹ßÇ¥Á¦¸ñ : Ŭ¶ó¿ìµå ±â¹Ý ÀÎÁö·Îº¿ ±â¼ú
    ¹ßÇ¥ÀÚ : ¼Û¼¼°æ (CEO/â¾÷ÀÚ/¢ßǻó·Îº¿)
    °­¿¬¿ä¾à : 2016³â AI, 2017³â 4Â÷»ê¾÷Çõ¸í, 2018 Æò⵿°è¿Ã¸²ÇÈÀ» °ÅÄ¡¸é¼­, AI·Îº¿¿¡ ´ëÇÑ ±â´ë¿Í ½Ç¼ÒÀ¯°¡ Á¡Â÷ Ä¿Áö°í ÀÖ´Ù. ǻó·Îº¿Àº 2009³â â¾÷ÀÌÈÄ ²ÙÁØÈ÷ AI°¨¼º·Îº¿ °³¹ß¿¡ ÁýÁßÇÏ¿© ¼¼°èÀû ¼öÁØÀÇ µ¶º¸Àû ±â¼ú°ú ±¹³»ÇØ¿Ü ´ëÇ¥ ½ÃÀå ·¹ÆÛ·±½º¸¦ âÃâÇÏ¿´°í, 3¿ù¿¡ ¿À¶óŬ°ú Cloud Àü·«Àû »ç¾÷Çù·Â MOU¸¦ ü°áÇÏ¿© cloud ...more
    Track > Session : ÀúÁö¿¬ °í½Å·Ú »ê¾÷À¶ÇÕ ÀÎÇÁ¶ó > »ê¾÷À¶ÇÕ ÀÀ¿ë ¹× µ¿Çâ
    ¹ßÇ¥Á¦¸ñ : ½º¸¶Æ®ÆÑÅ丮¸¦ À§ÇÑ OPC-UA over TSN ±â¼ú
    ¹ßÇ¥ÀÚ : Á¶±ÔÁ¾ (´ëÇ¥ÀÌ»ç/¢ßÀ¯ºñ¾¾)
    °­¿¬¿ä¾à : º» ¹ßÇ¥¿¡¼­´Â ½º¸¶Æ®ÆÑÅ丮¸¦ À§ÇÑ »ê¾÷ÀÎÅͳݰú ½º¸¶Æ®ÆÑÅ丮ÀÇ ±¹Á¦ Ç¥ÁØÀÎ OPC UA¿¡¼­ ÃÖ±Ù¿¡ ¹ßÇ¥ÇÑ OPC UA Pub/Sub over TSN ±â¼ú¿¡ ´ëÇؼ­ ¼Ò°³ - ½º¸¶Æ®ÆÑÅ丮 »ê¾÷ÀÎÅÍ³Ý ±â¼ú µ¿Çâ - OPC UA Pub/Sub ±â¼ú °³¿ä ¹× ³×Æ®¿öÅ© ¼º´É ¹× ÇÁ·ÎÅäÄÝ - IEEE 802.1 TSN ±â¼ú°ú OPC UA Pub/Sub ±â¼úÀÇ À¶ÇÕ - Çâ ÈÄ ...more
     01 02 03 04 05 06 07 08 09

    TOP