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An1-2-1 (»þ´Ö: 10:45 - 11:20)
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Keyword E2µéDC-DC¥³¥ó¥Ð¡¼¥¿, ºÇŬ¾õÂÖ³°, ²òÀϼ°
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Keyword ºÇ½é¥«¥Ã¥ÈÌäÂê, ÈóÀþ·Á²óÏ©²òÀÏ, Maximum- Flow Neural Network
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Bd1-1-1 (»þ´Ö: 9:10 - 9:30)
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Ãø¼Ô ¡ýºû¸¶ ÃÎÇî, ¶â´Ý ¿¿·ò, Æ«»³ ·ò¿Î (ÅìµþÅŵ¡Âç³Ø)
Pagepp. 39 - 44
Keyword ¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿, ACO, ÁȤ߹ç¤ï¤»ºÇŬ²½
AbstractËܸ¦µæ¤Ç¤Ï¡¤ACO(Ant Colony Optimization)¤Ë¤è¤ëCSD(Canonic Signed Digit)·¸¿ôFIR¥Õ¥£¥ë¥¿¤ÎÀ߷פˤĤ¤¤Æ¸¡Æ¤¤¹¤ë¡¥¤³¤ÎÀß·×ÌäÂê¤ÏÁȤ߹ç¤ï¤»ºÇŬ²½ÌäÂê¤Ç¤¢¤ë¤¿¤á¡¤½ä²ó¥»¡¼¥ë¥¹¥Þ¥óÌäÂê¤ËÂåɽ¤µ¤ì¤ëÁȤ߹ç¤ï¤»ºÇŬ²½ÌäÂê¤ËÂФ¹¤ë¸ú²ÌŪ¤Ê²òË¡¤Ç¤¢¤ëACO¤È¤Î¿ÆÏÂÀ­¤¬¶¯¤¤ÌäÂê¤Ç¤¢¤ë¡¥¸¡Æ¤¼êË¡¤Ç¤Ï¡¤ÈóÎí·å¿ô¤Ë´Ø¤¹¤ëÀ©Ìó¾ò·ï¤ò¥Ú¥Ê¥ë¥Æ¥£¹à¤È¤·¤ÆÌÜŪ´Ø¿ô¤Ë²Ý¤¹¡¥ACO¤Îõº÷¤Ï¡¤½é´üÃͤ˰͸¤¹¤ë·¹¸þ¤¬¤¢¤ê¡¤¶É½ê²ò¤Ë´Ù¤ë¾ì¹ç¤¬¤¢¤ë¡¥¤½¤³¤Ç¡¤ºÇÎɤÎÌÜŪ´Ø¿ôÃͤò¤â¤Ä¸ÄÂΰʳ°¤ÎÄ̲á·ÐÏ©¤ËÂФ·¤Æ¤â¥Õ¥§¥í¥â¥ó¤òÉղ乤뤳¤È¤ò»î¤ß¤ë¡¥Àß·×Îã¤Ë¤è¤ê¡¤Äó°ÆË¡¤¬¹â®¤«¤ÄÎɹ¥¤ÊÀ߷פ¬²Äǽ¤Ç¤¢¤ë¤³¤È¤ò¼¨¤¹¡¥

Bd1-1-2 (»þ´Ö: 9:30 - 9:50)
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Ãø¼Ô ¡ýÀ¾Â¼ ͦ»Ê, Æ«»³ ·ò¿Î (ÅìµþÅŵ¡Âç³Ø)
Pagepp. 45 - 49
Keyword ¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿, PSO, ³ÎΨŪºÇŬ²½
AbstractËܸ¦µæ¤Ç¤Ï¡¤PSO (Particle Swarm Optimization) ¤òÍѤ¤¤¿IIR ¥Õ¥£¥ë¥¿À߷פˤĤ¤¤Æ¸¡¾Ú¤¹¤ë¡¥Àè¹Ô¸¦µæ¤Ç¤Ï¡¤Ãµº÷¤ÎÄäα»þ¤ËÌÜŪ´Ø¿ô¤Ë¥Ú¥Ê¥ë¥Æ¥£¤òÉղä·¡¤Ääα²óÈò¤¹¤ë¼êË¡¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤·¤¿¡¥¤½¤Î·ë²Ì¡¤¥Ú¥Ê¥ë¥Æ¥£ÉÕ²ÃÈϰϤ¬Å¬ÀÚ¤ËÀßÄꤵ¤ì¤ì¤Ð¡¤Àß·×À­Ç½¤Ï¥Ú¥Ê¥ë¥Æ¥£¤È¤·¤ÆÉղä¹¤ë´Ø¿ô·Á¤Ë°Í¤é¤Ê¤¤¤³¤È¤ò¼¨¤·¤¿¡¥¤·¤«¤·¤Ê¤¬¤é¡¤¼¡¿ô¤ÎÁý²Ã¡¤ÄãÃٱ䲽¤Ê¤ÉÀß·×¾ò·ï¤¬¸·¤·¤¯¤Ê¤ë¤Ë¤Ä¤ì¡¤É¾²Á´Ø¿ô¤ÎÆÌ±ú¤¬Áý²Ã¤·¡¤ÉÕ²ÃÈϰϤηèÄ꤬º¤Æñ¤È¤Ê¤ë¡¥Ëܸ¦µæ¤Ç¤ÏÊ£¿ô·²¤òÍѤ¤¤¿¥Ú¥Ê¥ë¥Æ¥£ÉÕ²ÃÈϰÏÁªÂò·¿PSO ¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤¹¤ë¡¥Àß·×Îã¤è¤ê¡¤½é´üÃͤ˰͸¤»¤º¤ËÎɹ¥¤ÊÀ߷פ¬²Äǽ¤Ç¤¢¤ë¤³¤È¤ò¼¨¤¹¡¥

Bd1-1-3 (»þ´Ö: 9:50 - 10:10)
Âê̾½à¥¹¥Ñ¡¼¥¹FIR¥Õ¥£¥ë¥¿¤ÎºÇ¾®Æó¾èÀß·×
Ãø¼Ô ¡ýº´Æ£ ͺ²ð (¹­ÅçÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê), ÃæËÜ ¾»Í³, »³ËÜ Æ© (¹­ÅçÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ±¡)
Pagepp. 50 - 55
Keyword ½à¥¹¥Ñ¡¼¥¹, FIR¥Õ¥£¥ë¥¿, ÂÓ°èÄ̲á¥Õ¥£¥ë¥¿, ºÇ¾®Æó¾èÀß·×, Lagrange ¤Î̤Äê¾è¿ôË¡
Abstract·¸¿ô¤Ë0¤ò´Þ¤à¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿¤Ï¡¤¥¹¥Ñ¡¼¥¹¥Õ¥£¥ë¥¿¤È¸À¤ï¤ì¤Æ¤¤¤ë¡¥ ËÜÏÀʸ¤Ç¤Ï¡¤¥¹¥Ñ¡¼¥¹À­¤è¤ê¤â¾ò·ï¤ò´Ë¤á¤¿¡Ö½à¥¹¥Ñ¡¼¥¹À­¡×¤È¤¤¤¦À©Ìó¤ò¹Í¤¨¤ë¡¥ ½à¥¹¥Ñ¡¼¥¹À­¤È¤Ï¡¤·¸¿ôÃͤ¬ 0 ¤À¤±¤Ç¤Ê¤¯¡¤-1,1 ¤ò¤È¤ë¤³¤È¤ÈÄêµÁ¤¹¤ë¡¥ ½à¥¹¥Ñ¡¼¥¹À­¤òÍøÍѤ·¤¿¥Õ¥£¥ë¥¿¤â½½Ê¬¤Ê¥Õ¥£¥ë¥¿¥ê¥ó¥°½èÍý¤Î¹â®²½¤ª¤è¤Ó²óÏ©µ¬ÌÏ¡¤ ¥á¥â¥êÍÆÎÌ¡¤¾ÃÈñÅÅÎϤÎÄ㸺²½¤¬´üÂԤǤ­¤ë¡¥½à¥¹¥Ñ¡¼¥¹À­¤òÍøÍѤ·¤¿¾ì¹ç¡¤ ¥¹¥Ñ¡¼¥¹¥Õ¥£¥ë¥¿¤ËÈæ¤Ù¤Æ¡¤·¸¿ôÃͤμ«Í³ÅÙ¤¬¹â¤¯¤Ê¤ê¡¤ ÆÀ¤é¤ì¤ë¥Õ¥£¥ë¥¿¤ÎÆÃÀ­¤â¥¹¥Ñ¡¼¥¹¥Õ¥£¥ë¥¿¤è¤êÎɹ¥¤ÊÆÃÀ­¤¬ÆÀ¤é¤ì¤ë¤³¤È¤¬´üÂÔ¤µ¤ì¤ë¡¥ Ëܸ¦µæ¤Ç¤Ï¡¤¹­¤¯°ìÈÌŪ¤ËÍøÍѤµ¤ì¤Æ¤¤¤ëÂÓ°èÄ̲áÆÃÀ­¤òÍ­¤¹¤ëFIR¥Õ¥£¥ë¥¿¤ÎºÇ¾®Æó¾èÀß·×ÌäÂê¤ËÂФ·¡¤ ½à¥¹¥Ñ¡¼¥¹¤ÊÆÃÀ­¤òÍ­¤¹¤ë¥Õ¥£¥ë¥¿¤ÎÀß·×¥¢¥ë¥´¥ê¥º¥à¤òÄ󰯤¹¤ë¡¥ ¤³¤³¤Ç¤Ï¡¤½à¥¹¥Ñ¡¼¥¹À­¤ÎÀ©Ìó¤ò¹ÔÎóɽ¸½¤¹¤ë¤³¤È¤Ë¤è¤ê¡¤ Lagrange ¤Î̤Äê¾è¿ôË¡¤Ë´ð¤Å¤¤¤Æ¥Õ¥£¥ë¥¿·¸¿ô¤ÎÀß·×ÊýË¡¤ò¼¨¤¹¡¥ ºÇ¸å¤Ë¡¤¿ôÃÍÎã¤Ç¤Ï¡¤¤¤¤¯¤Ä¤«¤Î¥Õ¥£¥ë¥¿¤òÄ󰯼êË¡¤Ë¤è¤Ã¤ÆÀ߷פ·¡¤ Ä󰯼êË¡¤ÎÍ­¸úÀ­¤ò³Îǧ¤¹¤ë¡¥

Bd1-1-4 (»þ´Ö: 10:10 - 10:30)
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Ãø¼Ô ¡ý¿ù»³ ͺ°ì, Leonardo Lanante,Jr., Ä¹Èø ͦʿ, ¹õºê Àµ¹Ô, ÈøÃÎ Çî (¶å½£¹©¶ÈÂç³ØÂç³Ø±¡¾ðÊ󹩳ØÉÜÀèü¾ðÊ󹩳ØÀì¹¶)
Pagepp. 56 - 61
Keyword ̵ÀþÄÌ¿®¥·¥¹¥Æ¥à, FIR¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿
Abstract̵ÀþÄÌ¿®¥·¥¹¥Æ¥à¤Ë¤ª¤¤¤Æ¤Ï¡¤¸Â¤é¤ì¤¿ÄÌ¿®ÂÓ°è¤Ç¤ÎÄÌ¿®¤ò¹Ô¤¦¤¿¤á¡¤¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿¤Ë¤è¤Ã¤ÆÂÓ°èÀ©¸Â¤ò¹Ô¤¦É¬Íפ¬¤¢¤ë¡¥ÌµÀþÄÌ¿®¥·¥¹¥Æ¥à¤ÇÍѤ¤¤é¤ì¤ë¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿¤Ï¡¤Ãé¼Â¤ÊÇÈ·ÁÅÁã¤ò¹Ô¤¦É¬Íפ¬¤¢¤ë¤¿¤á¡¤Ä¾Àþ°ÌÁê¥Õ¥£¥ë¥¿¤Ç¤¢¤ë¤³¤È¤¬¹¥¤Þ¤·¤¤¡¥FIR¥Õ¥£¥ë¥¿¤Ç¤Ï·¸¿ô¤ËÂоÎÀ­¤ò»ý¤¿¤»¤ë¤³¤È¤Ë¤è¤Ã¤Æ¡¤¥Õ¥£¥ë¥¿¤Ë´°Á´¤ÊÀþ·Á°ÌÁêÆÃÀ­¤ò»ý¤¿¤»¤ë¤³¤È¤¬²Äǽ¤È¤Ê¤ë¤¬¡¤·¸¿ô¤ËÂоÎÀ­¤ò»ý¤¿¤»¤¿¾ì¹ç¡¤·²ÃÙ±ä¤Ï·¸¿ô¤ÎȾʬ¤ÎÂ礭¤µ¤È¤Ê¤ê¡¤·²Ãٱ䤬ÁýÂ礷¡¤¥Õ¥£¥ë¥¿¤Ë¤è¤ëÃÙ±ä»þ´Ö¤¬ÁýÂ礷¤Æ¤·¤Þ¤¦¡¥¤³¤³¤Ç¡¤·¸¿ô¤ËÂоÎÀ­¤ò»ý¤¿¤»¤Ê¤¤¤³¤È¤Ë¤è¤ê·²ÃÙ±ä¤òÄã²¼¤µ¤»¡¤Ä̲á°è¤Î¤ß¤Ë¤ª¤¤¤Æ¶á»÷Ū¤ÊÀþ·Á°ÌÁêÆÃÀ­¤ò¹Íθ¤·¤ÆÀ߷פò¤ª¤³¤Ê¤¦¼êË¡¤¬Ä󰯤µ¤ì¤Æ¤¤¤ë¡¥¤½¤³¤Ç¡¤¤Î¼êË¡¤òÍѤ¤¤ë¤³¤È¤Ë¤è¤ê¡¤ÃÙ±ä»þ´Ö¤¬Ã»¤¯¡¤¤µ¤é¤Ë¡¤¤Ê¤ë¤Ù¤¯Ãé¼Â¤ÊÇÈ·ÁÅÁã¤ò¹Ô¤¦¤³¤È¤Î¤Ç¤­¤ë¥Õ¥£¥ë¥¿¤òÀ߷פ·¡¤·×»»µ¡¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤òÍѤ¤¤Æ¡¤ÌµÀþÄÌ¿®¤Ë¤ª¤±¤ë¸ú²Ì¤ò³Îǧ¤¹¤ë¡¥


¥»¥Ã¥·¥ç¥ó Bd1-2 ¾·ÂԹֱ飱
Æü»þ: 2014ǯ8·î4Æü(·î) 10:45-12:00
Éô²°: 311A¼¼
ºÂĹ: º£Àô ¾Í»Ò (ÀéÍÕÂç³Ø)

Bd1-2-1 (»þ´Ö: 10:45 - 12:00)
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Pagepp. 62 - 67
Keyword °µ½Ì, ²èÁü, É乿²½, ¥í¥¹¥ì¥¹, ÊÑ´¹
Abstract¥Ï¥¤¥Ó¥¸¥ç¥ó¥Æ¥ì¥Ó¤ä£´£Ë¥Æ¥ì¥Ó¤Ê¤É¡¢°ÊÁ°¤ËÈæ¤Ù¤è¤ê°ìÁØ¡¢¹âÉʼÁ¤Ê±ÇÁü¤ò³Ú¤·¤á ¤ëµ»½Ñ¤¬³«È¯¤µ¤ì¤Æ¤¤¤ë¡£¹âÉʼÁ²½¤Î¥«¥®¤Ï¡¢°ì¤Ä¤Ë¤Ï²èÁÇ¿ô¤òÁý¤ä¤¹¤³¤È¤Ç¤¢¤ë¡£ ¤·¤«¤·¡¢¤³¤ì¤Ëȼ¤¤¥Ç¡¼¥¿Î̤¬ËÄÂç¤È¤Ê¤ë¡£¤³¤Î¤¿¤á¡¢±ÇÁü¤òÃßÀÑ¡¦ÄÌ¿®¤¹¤ë¤Ë¤Ï¡¢ É乿²½¤Ë¤è¤ë¥Ç¡¼¥¿°µ½Ì¤¬·ç¤«¤»¤Ê¤¤¡£¸½ºß¹­¤¯ÉáµÚ¤·¤Æ¤¤¤ë¥í¥Ã¥·¡¼É乿²½¤Ç¤Ï¡¢ ¥Ç¡¼¥¿°µ½Ì¤ÎÂå½þ¤È¤·¤Æ²è¼Á¤¬Îô²½¤¹¤ë¡£¤³¤ÎÎô²½¤Ï¡¢·ÈÂÓüËö¤Ç¸«¤ë¤Ë¤Ïµ¤¤Ë¤Ê¤é ¤Ê¤¤¤«¤â¤·¤ì¤Ê¤¤¤¬¡¢£´£Ë¥Æ¥ì¥Ó¤Ç¤ÏÎɤ¯¸«¤¨¤ë¡£Èó¾ï¤Ë¤ï¤º¤«¤ÊÎô²½¤Î¤â¤È¤Ç¤Ï¡¢ ¥Ë¥¢¥í¥¹¥ì¥¹É乿²½¤ÎÊý¤¬¥Ç¡¼¥¿°µ½Ì¤ÎÀ­Ç½¤¬Îɤ¤¡£Îô²½¤òÁ´¤¯µö¤µ¤Ê¤¤ÊýË¡¤È¤·¤Æ ¤Ï¡¢¥í¥¹¥ì¥¹É乿²½¤¬¤¢¤ë¡£¤½¤ì¤¾¤ì¤ÎÍÑÅӤ˱þ¤¸¤Æ¡¢Î¥»¶¥³¥µ¥¤¥óÊÑ´¹¡¢¶É½êÉü¹æ ÉÕ¤­Å¬±þͽ¬¡¢À°¿ô¥¦¥§¡¼¥Ö¥ì¥Ã¥È¡¢¤Î¤è¤¦¤Ë»È¤¤Ê¬¤±¤é¤ì¤ë¡£°ìÊý¤Ç¤Ï¡¢Áê¸ß¤Î¸ß ´¹À­¤òÊÝ»ý¤¹¤ë¹©Éפ䡢°µ½Ì¥Ç¡¼¥¿¤ò¥í¥Ã¥·¡¼ÍÑ¤È¥í¥¹¥ì¥¹ÍѤ˾éĹÀ­¤Ê¤¯Ê¬¤±¤ë¹© Éפ⤢¤ë¡£¶áǯ¤Ç¤Ï¡¢²èÁÇ¿ô¤Î¤ß¤Ê¤é¤º¡¢³¬Ä´¿ô¤òÁý¤ä¤¹¤³¤È¤Ç¹â²è¼Á²½¤¬¿Þ¤é¤ì¤Æ ¤¤¤ë¡£ÍÍ¡¹¤ÊÍÑÅӤ˱þ¤¸¤Æ¡¢¤É¤Î¤è¤¦¤ÊÀ©Ì󲼤ǡ¢¤É¤Î¤è¤¦¤Êɾ²Á¼ÜÅ٤ǡ¢¤³¤ì¤Þ¤Ç ¤ÎÉ乿²½Êý¼°¤¬À߷פµ¤ì¤Æ¤­¤¿¤«¤ò²òÀ⤹¤ë¡£


¥»¥Ã¥·¥ç¥ó C1-1 ¾·ÂԹֱ飱
Æü»þ: 2014ǯ8·î4Æü(·î) 9:30-10:30
Éô²°: 311B¼¼
ºÂĹ: À¥¸Í ¸¬½¤ (ÅìµþÅÔ»ÔÂç³Ø)

C1-1-1 (»þ´Ö: 9:30 - 10:30)
Âê̾(¾·ÂÔ) SPFD¤Ë¤è¤ëÏÀÍý´Ø¿ô¤Î¼«Í³ÅÙ¤Îɽ¸½¤È¤½¤Î²óÏ©À߷פؤαþÍÑ
Ãø¼Ô ¡û»³²¼ ÌÐ (Ω̿´ÛÂç³Ø ¾ðÊóÍý¹©³ØÉô)
Pagepp. 68 - 73
Keyword ÏÀÍý´Ø¿ô¤Î¼«Í³ÅÙ, SPFD, LUT, PPC
AbstractÏÀÍý²óÏ©¤Ë¤ª¤¤¤Æ¡¤¤¢¤ëÆþÎϥѥ¿¡¼¥ó¤Î»þ¤Ë¡¤¤½¤Î²óÏ©Æâ¤Î¤¢¤ë¥²¡¼¥È¤Î½Ð ÎÏ´Ø¿ô¤¬1¤Ç¤â0¤Ç¤â²óÏ©¤Î³°Éô½ÐÎϤ¬ÊѤï¤é¤Ê¤¤»þ¤Ë¡¤¤½¤Î¥²¡¼¥È¤Î½ÐÎÏ´Ø¿ô ¤ÎÃͤϡ֥ɥó¥È¥±¥¢¡×¤Ç¤¢¤ë¤È¸À¤¦¡¥Ä̾ï¤Î²óÏ©¤Ç¤Ï¡¤¤³¤Î¥É¥ó¥È¥±¥¢¾ò·ï ¤òɽ¸½¤Ç¤­¤ëÉÔ´°Á´»ØÄêÏÀÍý´Ø¿ô¤Ë¤è¤Ã¤Æ¡¤²óÏ©Æâ¤ÎÏÀÍý´Ø¿ô¤Î¼«Í³ÅÙ¤òɽ¸½ ¤·¤Æ¡¤¤½¤ì¤òÍøÍѤ·¤Æ²óÏ©¤ÎÊÑ·Á¤Ê¤É¤ÎºÇŬ²½¤ò¹Ô¤¦¡¥LUT¡ÊLook-Up Table¡Ë ¤Î¤è¤¦¤ËÆâÉôÏÀÍý¤ò¼«Í³¤ËÊѹ¹¤Ç¤­¤ëÏÀÍýÍ×ÁǤ«¤é¤Ê¤ë²óÏ©¤Î¾ì¹ç¤Ë¤Ï¡¤ SPFD(Sets of Pairs of Functions to be Distinguished) ¤È¸Æ¤Ð¤ì¤ë´Ø¿ô¤Î ÂФòÍѤ¤¤ÆLUT¤ÎÆâÉôÏÀÍý¤ÎÊѹ¹¤Î²ÄǽÀ­¤â¹Íθ¤·¤¿É½¸½ÊýË¡¤ÎÊý¤¬¡¤Ã±½ã ¤ÊÉÔ´°Á´»ØÄêÏÀÍý´Ø¿ô¤è¤ê¤â¼«Í³ÅÙ¤Îɽ¸½ÊýË¡¤È¤·¤Æ¤ÎǽÎϤ¬¹â¤¤¤³¤È¤¬ÃÎ¤é ¤ì¤Æ¤¤¤ë¡¥Ëֱܹé¤Ç¤Ï¡¤¤³¤ÎSPFD¤Î¹Í¤¨Êý¤È¤½¤Î´Êñ¤Ê·×»»ÊýË¡¤òÀâÌÀ¤¹¤ë¡¥ ¤½¤Î¸å¡¤SPFD¤Î²óÏ©À߷פؤαþÍÑÎã¤È¤·¤Æ¡¤²óÏ©Æâ¤ËËä¤á¹þ¤ó¤ÀLUT¤ÎÆâÉôÏÀ ÍýÊѹ¹¤Ë¤è¤ê¡¤»ÅÍÍÊѹ¹¤äÀ½Â¤»þ¤Î¸Î¾ã¤ËÂбþ¤Ç¤­¤ë¤è¤¦¤Ê PPC¡ÊPartially-ProgrammableCircuits¡Ë¤È¸Æ¤Ð¤ì¤ë²óÏ©¤ÎÀß·×¼êË¡¤Ë¤Ä¤¤¤Æ ½Ò¤Ù¤ë¡¥


¥»¥Ã¥·¥ç¥ó C1-2 Àß·×»öÎã
Æü»þ: 2014ǯ8·î4Æü(·î) 10:45-12:00
Éô²°: 311B¼¼
ºÂĹ: ×¢ËÜ ÀµÇ· (µþÅÔÂç³Ø)

C1-2-1 (»þ´Ö: 10:45 - 11:10)
Âê̾Æó¿Ê¿ôÍÑ¥Þ¥ë¥Á¥ª¥Ú¥é¥ó¥É²Ã»»´ï¤ÎSD¿ô¾è»»´ï¤Ø¤ÎŬÍÑ
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Pagepp. 74 - 79
Keyword SD¿ô
AbstractSD¿ô¾è»»´ï¤Ç¤Ï¡¢ÉôʬÀѲû»Éô¤Ë¾éĹÆó¿Ê²Ã»»´ï¤¬Îɤ¯ÍøÍѤµ¤ì¤ë¡£µ¬Â§Åª¤Ê¹½Â¤¤ò»ý¤Ã¤Æ¤¤¤ë¤³¤È¤Ê¤ÉÍøÅÀ¤â¿¤¤¤¬¡¢²óÏ©ÌÌÀѤ¬Èæ³ÓŪÂ礭¤¤¤³¤È¤«¤é¡¢²þÁ±¤Î;ÃϤ¬¤¢¤ë¤È¹Í¤¨¤ë¡£Ëܸ¦µæ¤Ç¤Ï¡¢Æó¿Ê¿ôÍѤΥޥë¥Á¥ª¥Ú¥é¥ó¥É²Ã»»´ï¤È¤·¤Æ¹­¤¯ÍѤ¤¤é¤ì¤Æ¤¤¤ëWallaceÌÚ¤È4:2¥³¥ó¥×¥ì¥Ã¥µÌÚ¤òSD¿ô¾è»»´ï¤ËŬÍѤ¹¤ë¤¿¤á¤Î¼êË¡¤ò¹Í»¡¤·¡¢¤½¤ì¤é¤òÍѤ¤¤¿¿·¤¿¤ÊSD¿ô¾è»»´ï¤Î¹½Â¤¤òÄ󰯤¹¤ë¡£Ëܸ¦µæ¤ÇÄ󰯤·¤¿²óÏ©¹½Â¤¤Ë¤è¤ê¡¢´û¸¤Î¾è»»´ï¤ÈÈæ³Ó¤·¤Æ²óÏ©ÌÌÀѤòÌó15%ºï¸º¤Ç¤­¤¿¡£

C1-2-2 (»þ´Ö: 11:10 - 11:35)
Âê̾ϢΩ°ì¼¡ÊýÄø¼°¤ËÂФ¹¤ë¶¦Ìò¸ûÇÛË¡¤ÎFPGA¼ÂÁõ¤È¼Â¸³ÅªÉ¾²Á
Ãø¼Ô ¡ý˧²ì ͵²ð, ±Ê»³ Ǧ, ¼ãÎÓ ¿¿°ì, °ðÌÚ ²í¿Í (¹­Åç»ÔΩÂç³ØÂç³Ø±¡ ¾ðÊó²Ê³Ø¸¦µæ²Ê)
Pagepp. 80 - 85
Keyword FPGA, ¶¦Ìò¸ûÇÛË¡, ¿ôÃÍ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó
Abstract¶áǯ¤Î·×»»µ¡Ç½ÎϤοÊÊâ¤Ëȼ¤¤, ÍÍ¡¹¤ÊʬÌî¤Çή ÂβòÀϤʤɤÎÊ£»¨¤Ê¿ôÃÍ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤¬¹Ô¤ï¤ì ¤ë¤è¤¦¤Ë¤Ê¤ê, ·×»»¤Î¹â®²½¤Ø¤ÎÍ×µá¤â¹â¤Þ¤Ã¤Æ¤¤ ¤ë. ήÂβòÀϤʤɤǤ·¤Ð¤·¤ÐÍѤ¤¤é¤ì¤ëÊÐÈùʬÊýÄø ¼°¤Î¥â¥Ç¥ë¤Ç¤Ï, ¿¤¯¤Î¾ì¹ç, ϢΩ°ì¼¡ÊýÄø¼°¤ò²ò¤¯ ¤³¤È¤Ç, ¿ôÃÍ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤¬¼Â¹Ô¤µ¤ì¤Æ¤ª¤ê, Ï¢ Ω°ì¼¡ÊýÄø¼°¤Î²òË¡¤Î¹â®²½¤¬¿ôÃÍ¥·¥ß¥å¥ì¡¼¥·¥ç ¥ó¤Î¹â®²½¤Ë¤Ä¤Ê¤¬¤ë. ¤½¤³¤Ç, ËÜÏÀʸ¤Ç¤Ï, ¥Ï¡¼¥É ¥¦¥§¥¢¼ÂÁõ¤ÎÍÆ°×¤µ¤«¤é¶¦Ìò¸ûÇÛË¡¤ËÃåÌܤ·, ¤½¤Î FPGA ¼ÂÁõ¤Ë¤è¤ë¹â®²½¼êË¡¤ò¼¨¤¹. ¤Þ¤¿, ·×»»µ¡ ¼Â¸³¤Ë¤è¤ê, ̤ÃÎÊÑ¿ô¤¬40 ¸Ä¤Î¤È¤­, ¥½¥Õ¥È¥¦¥§¥¢ ¼ÂÁõ¤ÎÌó9 Çܤι⮲½¤¬Ã£À®¤Ç¤­¤ë¤³¤È¤ò¼¨¤¹.

C1-2-3 (»þ´Ö: 11:35 - 12:00)
Âê̾FPGA¤òÍѤ¤¤¿ÄÉÀ×¥«¥á¥é¥·¥¹¥Æ¥à¤Î¶¨Ä´Àß·×
Ãø¼Ô ¡ýüâÌÚ ÎÉÏÂ, ¿ù¸¶ µÁ¾­, ±­»ô ÍøÌÀ, Ê¡´Ö ¿µ¼£, ¿¹ âðìϺ (Ê¡°æÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê¾ðÊ󡦥á¥Ç¥£¥¢¹©³ØÀì¹¶)
Pagepp. 86 - 91
Keyword FPGA, ÄÉÀ×, ¶¨Ä´Àß·×
AbstractËÜÏÀʸ¤Ç¤Ï¡¤¥·¥¹¥Æ¥à¤Îưºî®ÅÙ¤ò30[fps]¤òÌÜɸ¤Ë¤·¤¿¾å¤Ç¡¤FPGA¤òÍѤ¤¤¿ÄÉÀ×¥«¥á¥é¥·¥¹¥Æ¥à¡Ê°Ê²¼¡¤½¾ÍèË¡¡Ë¤Î¹âÀºÅÙ²½¤òÌÜŪ¤È¤·¤¿¥¢¥ë¥´¥ê¥º¥à¤Î¼ÂÁõ¤Ë¤Ä¤¤¤ÆÏÀ¤¸¤ë¡¥ÊªÂΤÎÄÉÀ×¤Ë¤ÏÆÃħÎ̤Ȥ·¤Æ¿§¤òÍѤ¤¤Æ¹Ô¤¤¡¤½¾ÍèË¡¤ÇÂоݤˤ·¤Æ¤¤¤ëʪÂΤΰÌÃÖ¡¦»ÑÀª·×¬¤Ë¤Ï¡¤²èÁü½èÍý¤ò¹Ô¤¦¤È¤¤¤¦Á°Äó¤Î¸µ¡¤¤Ç¤­¤ë¤À¤±±ÇÁü¤¬Á¯ÌÀ¤Ç¤¢¤ë¤³¤È¤¬µá¤á¤é¤ì¤ë¡¥ ¤·¤«¤·¤Ê¤¬¤é½¾ÍèË¡¤Ë¤ÏÀºÅÙ¤ÎÌ̤ÇÌäÂêÅÀ¤¬¤¢¤ê¡¤°ì¤Ä¤Ï¥«¥á¥é¸÷¼´¤ò¸þ¤±¤ë¤¿¤á¤ÎÌÜɸÃͤȤ·¤ÆÌÜɸʪÂΤνſ´°ÌÃÖ¤òµá¤á¤ëɬÍפ¬¤¢¤ë¤¬¡¤³°Íð¤Î±Æ¶Á¤ò¼õ¤±¤ä¤¹¤¤¤³¤È¤Ç¤¢¤ë¡¥¤â¤¦°ì¤Ä¤Ï±ÀÂæ¤ÎÀ©¸æ¤ËʪÂÎ¤ÎÆ°¤­¤ò¹Íθ¤·¤Æ¤¤¤Ê¤¤¤¿¤á¡¤¥«¥á¥é¤Î¥Ö¥ì¤¬À¸¤¸¤ë¤³¤È¤Ç¤¢¤ë¡¥¤½¤³¤ÇËܸ¦µæ¤Ç¤Ï¤½¤ì¤¾¤ìCAMSHIFTË¡¡¤PIDÀ©¸æ¤òÍѤ¤¤Æ¤³¤ì¤é¤ò²ò·è¤¹¤ëÀ©¸æ¥¢¥ë¥´¥ê¥º¥à¤ò¼ÂÁõ¤¹¤ë¡¥¤Þ¤¿30[fps]¤Îưºî¤òÌܻؤ¹¤¿¤á¤Ë¶¨Ä´À߷פȤ¤¤¦´ÑÅÀ¤«¤éCAMSHIFTË¡¤Ï¥Ï¡¼¥É¥¦¥§¥¢¤Ç¡¢PIDÀ©¸æ¤Ï¥½¥Õ¥È¥¦¥§¥¢¤Ç¼ÂÁõ¤¹¤ë¡¥


¥»¥Ã¥·¥ç¥ó D1-1 ¥Í¥Ã¥È¥ï¡¼¥¯ÍýÏÀ
Æü»þ: 2014ǯ8·î4Æü(·î) 9:40-10:30
Éô²°: 405¼¼
ºÂĹ: ²ÏÊÕ µÁ¿® (°¦Ãι©¶ÈÂç³Ø ¾ðÊó²Ê³ØÉô)

D1-1-1 (»þ´Ö: 9:40 - 10:05)
Âê̾A High-Speed Method for Evaluating One-to-all Reliability
Ãø¼Ô ¡ý¹ÓËó ½ãÊ¿ (ÅìµþÅÔ»ÔÂç³Ø¹©³Ø¸¦µæ²Ê¾ðÊ󹩳ØÀì¹¶), ÎÓ ÀµÇî (ÅìµþÅÔ»ÔÂç³ØÃμ±¹©³ØÉô¾ðÊóÄÌ¿®¹©³Ø²Ê)
Pagepp. 92 - 97
Keyword Reliability, One-to-all Reliability, Factoring Algorithm, Telecommunications Networks, Developing Country
AbstractSome researchers already proposed a reliability measure called one-to-all reliability to be used for designing telecommunications networks in developing countries. Regrettably, they have a problem because its evaluation becomes intolerably long if the network size becomes large, except for using the approximation method assuming that the components of telecommunications networks are high reliable. However, this assumption is not reasonable because developing countries often use low reliable components, and we cannot high reliabilities of components if we experience disasters. Now this paper first proposes a new evaluation method for one-to-all reliability which never needs the assumptions of such high reliabilities.

D1-1-2 (»þ´Ö: 10:05 - 10:30)
Âê̾A Factoring Algorithm for Solving the Problem of Partitioning Core Networks to Achieve Highly Reliable Telecommunications Networks
Ãø¼Ô ¡ýÂç¼ ÂóÌé (ÅìµþÅÔ»ÔÂç³Ø¹©³Ø¸¦µæ²Ê¾ðÊ󹩳ØÀì¹¶), µÈ²¬ Τº»»Ò (ÅìµþÅÔ»ÔÂç³ØÃμ±¹©³Ø²Ê¾ðÊó¥Í¥Ã¥È¥ï¡¼¥¯¹©³Ø²Ê), ÎÓ ÀµÇî (ÅìµþÅÔ»ÔÂç³ØÃμ±¹©³ØÉô¾ðÊóÄÌ¿®¹©³Ø²Ê)
Pagepp. 98 - 103
Keyword Telecommunications Networks, Reliability, Graph, Factoring, Reduction
AbstractFor the success of double homing on telecommunications networks, disjoint two paths are assigned between every two pairs; but having such disjoint paths is not easy because telecommunications networks are complicated and large systems. We already proposed a method to overcome this difficulty by partitioning of network into two subnetworks which never have any common element. However, we never have any method to check whether network can be successfully portioned or not, except for approximation method. Now this paper proposes two new exact methods to check network. One finds all the solutions, and the other performs factoring with reductions.


¥»¥Ã¥·¥ç¥ó D1-2 ¾·ÂԹֱ飱
Æü»þ: 2014ǯ8·î4Æü(·î) 10:45-11:45
Éô²°: 405¼¼
ºÂĹ: ÃæÅÄ ½¼ (»³¸ýÂç³Ø¶µ°é³ØÉô)

D1-2-1 (»þ´Ö: 10:45 - 11:45)
Âê̾(¾·ÂÔ) ¥¢¥ë¥´¥ê¥º¥à¤«¤é¸«¤¿ÅìÂç¥í¥Ü
Ãø¼Ô ¡û±§Ìî µ£ÌÀ (¹ñΩ¾ðÊ󳨏¦µæ½ê/Áí¹ç¸¦µæÂç³Ø±¡Âç³Ø)
Pagepp. 104 - 109
Keyword ¥¢¥ë¥´¥ê¥º¥à, ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó, ¸¡º÷, ¿Í¹©Æ¬Ç¾¡¢AI, ¼«Á³¸À¸ì½èÍý
Abstract¾ðÊ󳨏¦µæ½ê¤Ç¤Ï¡¢¡Ö¥í¥Ü¥Ã¥È¤ÏÅìÂç¤ËÆþ¤ì¤ë¤«¡×¤ÈÂꤷ¤Æ¡¢¥³¥ó¥Ô¥å¡¼¥¿¤Î·×»»¤Ë ¤è¤Ã¤ÆÆþ»îÌäÂê¤ò²ò¤¯¤È¤¤¤¦¥Á¥ã¥ì¥ó¥¸¤ò¹Ô¤Ã¤Æ¤¤¤ë¡£Æþ»î¤ò²ò¤¯ºÝ¤ËɬÍפȤµ¤ì¤ë ·×»»µ»½Ñ¤Ï¡¢¼«Á³¸À¸ì½èÍý¡¢²èÁü½èÍý¡¢¹½Ê¸²òÀÏ¡¢¥Ç¡¼¥¿¸¡º÷¡¢ ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ê¤É¿´ô¤Ë¤ï¤¿¤ë¡£Ëֱܹé¤Ç¤Ï¡¢¤³¤ì¤é¤Îµ»½Ñ¤Ë´Ø¤ï¤ë¥¢¥ë¥´¥ê¥º¥à ¤òÄ̤·¤Æ¡¢·×»»ÏÀŪ¤Ê´ÑÅÀ¤«¤é¿Í¹©Æ¬Ç¾¤Î¹½ÃÛ¤òÏÀ¤¸¤¿¤¤¡£


¥»¥Ã¥·¥ç¥ó P ¥Ý¥¹¥¿¡¼¥»¥Ã¥·¥ç¥ó
Æü»þ: 2014ǯ8·î4Æü(·î) 13:30-16:00
Éô²°: ¹ñºÝ²ñµÄ¾ì Ãϲ¼1³¬¡Ö¥¤¥Ù¥ó¥È¥Û¡¼¥ëÁ°¥í¥Ó¡¼¡×

P-1
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Ãø¼Ô ¡ýÄᲬ ÂÙÌÀ, ÅÄÃæ Âçµ®, Èøºê ÂÙ¹§ (ÌÀ¼£Âç³ØÂç³Ø±¡Íý¹©³Ø¸¦µæ²ÊÅŵ¤¹©³ØÀì¹¶), ³ùÅÄ ¹°Ç· (ÌÀ¼£Âç³ØÍý¹©³ØÉô)
Pagepp. 110 - 115
Keyword ÈóÀþ·Á, ¥«¥ª¥¹, ¥¹¥È¥ê¡¼¥à°Å¹æ, ¥ê¥¢¥×¥Î¥Õ»Ø¿ô, ¸ÇÄê¾®¿ôÅÀ±é»»
AbstractËܸ¦µæ¤Ç¤Ï¡¤¸ÇÄê¾®¿ôÅÀ±é»»¤Ë¤è¤êȯÀ¸¤¹¤ëÆÃÀ­¤Î´Ø¿ô¶á»÷¤È¤½¤ÎÆÃÀ­¤¬¥«¥ª¥¹°Å¹æ¤ËÍ¿¤¨¤ë¸ú²Ì¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤ò¹Ô¤¦¡¥¸ÇÄê¾®¿ôÅÀ±é»»¤Ç¤Ï¡¤¥ª¡¼¥Ð¡¼¥Õ¥í¡¼¤È¥é¥¦¥ó¥É¥ª¥Õ¤Î2¤Ä¤Î¸½¾Ý¤¬È¯À¸¤·¡¤É½¸½¤Ç¤­¤ëÃͰè¤ò¸ÂÄꤹ¤ë¤¿¤á¡¤Ä̾ï¤ÏÌäÂê¤È¤·¤Æ°·¤ï¤ì¤Æ¤¤¤ë¡¥¤·¤«¤·¡¤²æ¡¹¤Ï¡¤¤½¤ÎÌäÂê¤ò¥«¥ª¥¹ÆÃÀ­¤ËɬÍפÊÍ­³¦À­¤È¤·¤Æ°·¤¤¡¤¥«¥ª¥¹¸½¾Ý¤ò¼Â¸½¤·¤Æ¤¤¤ë¡¥Ëܸ¦µæ¤Ç¤Ï¡¤¤½¤Î2¤Ä¤Î¸½¾Ý¤ËÂФ·¤Æ¡¤¥Õ¡¼¥ê¥¨µé¿ôŸ³«¤òºÎÍѤ·¤Æ¡¤´Ø¿ô¶á»÷¤Ë¤è¤êɽ¸½¤·¤Æ¤¤¤ë¡¥¤Þ¤¿¡¤¥«¥ª¥¹À­¤ò¸¡¾Ú¤¹¤ë¤¿¤á¤Ë¤Ï¡¤¤½¤Î¥«¥ª¥¹¥·¥¹¥Æ¥à¤Î¥ä¥³¥Ó¥¢¥ó¤òµá¤á¤ëɬÍפ¬¤¢¤ë¤¿¤á¡¤Ä¶´Ø¿ôÍýÏÀ¤«¤é¸ÇÄê¾®¿ôÅÀ±é»»¤Î¥ä¥³¥Ó¥¢¥ó¤òµá¤á¤ëÊýË¡¤òÄ󰯤¹¤ë¡¥

P-2
Âê̾LED²Ä»ë¸÷ÄÌ¿®¤Î¤¿¤á¤ÎSchmitt Trigger²óÏ©¤òÍøÍѤ·¤¿³ÎΨ¶¦Ìļõ¿®µ¡¤Ë¤è¤ë¸÷¿®¹æ¸¡½Ð
Ãø¼Ô ¡û¹Ó°æ ¿­ÂÀϺ (¹áÀî¹âÅùÀìÌç³Ø¹» ÄÌ¿®¥Í¥Ã¥È¥ï¡¼¥¯¹©³Ø²Ê), »³Î¤ ·ÉÌé (̾¸Å²°Âç³Ø), ÅÄ½ê ¹¬¹À (³ô¼°²ñ¼ÒË­ÅÄÃæ±û¸¦µæ½ê)
Pagepp. 116 - 120
Keyword ³ÎΨ¶¦ÌÄ, ²Ä»ë¸÷ÄÌ¿®, LED, PIN PD
AbstractËܹƤǤϡ¤LED¸÷Åù¤òÍøÍѤ·¤Æ¥Ç¡¼¥¿¤òÁ÷¿®¤¹¤ë̵ÀþÄÌ¿®µ»½Ñ¤Ç¤¢¤ë²Ä»ë¸÷ÄÌ¿®¤ËÃíÌܤ¹¤ë¡¥¤½¤Î¼õ¿®µ¡¤ËÍѤ¤¤é¤ì¤ë¼õ¸÷ÁǻҤÎ1¤Ä¤Ç¤¢¤ëPIN¥Õ¥©¥È¥À¥¤¥ª¡¼¥É(PIN PD)¤Ï¡¤°Â²Á¤ÇÆþ¼ê¤¬Íưפʾ塤¹â®±þÅúÀ­¤ò¼Â¸½¤·¤Æ¤ª¤ê¡¤¹â¥Ç¡¼¥¿¥ì¡¼¥ÈÄÌ¿®¤Î´üÂÔ¤¬¹â¤Þ¤Ã¤Æ¤¤¤ë¡¥¤·¤«¤·¤Ê¤¬¤é¡¤ÂÀÍÛ¸÷Åù¤Î³°Íð¤Î±Æ¶Á¤Ë¤è¤ê¿®¹æ¤¬¤Ò¤º¤ß¤ä¤¹¤¯¡¤ÄÌ¿®¤¬º¤Æñ¤È¤Ê¤ëÌäÂêÅÀ¤¬¤¢¤ë¡¥Ëܸ¦µæ¤Ç¤Ï¡¤»¨²»¤òÍøÍѤ¹¤ë¤³¤È¤Ë¤è¤ê¿®¹æ¤ò¸¡½Ð¤¹¤ë³ÎΨ¶¦Ìĸ½¾Ý¤ËÃíÌܤ·¡¤Ëܸ½¾Ý¤ò±þÍѤ¹¤ë¤³¤È¤ÇPIN PD¤òÍѤ¤¤¿²Ä»ë¸÷ÄÌ¿®¤Ë¤ª¤±¤ë²ÝÂê¤Î²ò·è¤ò¿Þ¤ë¡¥PIN PD·¿²Ä»ë¸÷ÄÌ¿®¼õ¿®µ¡¤Ë³ÎΨ¶¦ÌķϤòŬÍѤ·¤¿´Ê°×¤Ê¥·¥¹¥Æ¥à¤òºîÀ®¤·¡¤LED¸÷¤Î¸÷¸¡½ÐÆÃÀ­¤òÄ´¤Ù¤ë¡¥

P-3
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Ãø¼Ô ¡ý¹â¸«Âô Æ©, ÌÚ¼ ²Âͤ (ÆüËܹ©¶ÈÂç³Ø Âç³Ø±¡ ¹©³Ø¸¦µæ²Ê ÅŻҾðÊó¥á¥Ç¥£¥¢¹©³ØÀì¹¶), ÌÚ¼ µ®¹¬, ¿ÀÌî ·òºÈ (ÆüËܹ©¶ÈÂç³Ø ¹©³ØÉô Åŵ¤ÅŻҹ©³Ø²Ê)
Pagepp. 121 - 126
Keyword ¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯, ¥Ñ¥±¥Ã¥È¥ë¡¼¥Æ¥£¥ó¥°, ¥³¥ó¥Ô¥å¡¼¥¿¥Í¥Ã¥È¥ï¡¼¥¯, ʬ»¶À©¸æ
Abstract¶áǯ, ¥â¥Ð¥¤¥ëüËö¤Ê¤É¤ÎÉáµÚ¤Ë¤è¤ê, ¥¤¥ó¥¿¡¼¥Í¥Ã¥ÈÍøÍѼԤ¬Áý²Ã¤·¤Æ¤¤¤ë. ¤³¤Î¤¿¤á, ¥Í¥Ã¥È¥ï¡¼¥¯¾å ¤òή¤ì¤ë¥Ç¡¼¥¿¥Ñ¥±¥Ã¥È¤¬µÞ·ã¤ËÁý²Ã¤·¤Æ¤ª¤ê, ¥Í¥Ã¥È¥ï¡¼¥¯Æâ¤Ë¥Ñ¥±¥Ã¥Èº®»¨¤¬È¯À¸¤·¤Æ¤¤¤ë. ¥Í¥Ã¥È¥ï¡¼¥¯Æâ¤Ë¥Ñ ¥±¥Ã¥Èº®»¨¤¬È¯À¸¤·¤¿¾ì¹ç, ¥Ñ¥±¥Ã¥È¤ÎÃÙ±ä¤ä»¼º¤¬À¸¤¸¤Æ¤·¤Þ¤¦. ¤³¤ì¤é¤ò²óÈò¤¹¤ëÊýË¡¤È¤·¤Æ, ¸úΨŪ¤Ê¥ë¡¼¥Æ¥£ ¥ó¥°¼êË¡¤ÎÄ󰯤¬¶¯¤¯Ë¾¤Þ¤ì¤Æ¤¤¤ë. ¸úΨŪ¤Ê¥ë¡¼¥Æ¥£¥ó¥°¼êË¡¤Î°ì¤Ä¤È¤·¤Æ, Áê¸ß·ë¹ç·¿¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯¤ò ÍѤ¤¤¿¼êË¡¤¬ËÙ¸ý, À⬤é¤Ë¤è¤Ã¤ÆÄ󰯤µ¤ì¤Æ¤¤¤ë. ¤³¤Î¼êË¡¤Ï, ·Á¾õ¤¬µ¬Â§Åª¤Ê¥Í¥Ã¥È¥ï¡¼¥¯¤Ë¤ª¤¤¤ÆÎɹ¥¤ÊÀ­Ç½¤ò ¼¨¤¹¤¬, ·Á¾õ¤¬ÉÔµ¬Â§¤Ê¥Í¥Ã¥È¥ï¡¼¥¯¤ËÂФ·¤Æ¤Ï, À­Ç½¤¬Îô²½¤¹¤ë¤³¤È¤¬Êó¹ð¤µ¤ì¤Æ¤¤¤ë. ËܹƤǤÏ, ÉÔµ¬Â§¥Í¥Ã¥È¥ï¡¼ ¥¯¤Ë¤ª¤¤¤ÆÀ­Ç½¤ò¸þ¾å¤µ¤»¤ë¤¿¤á¤Ë, Áê¸ß·ë¹ç·¿¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯¤òÍѤ¤¤¿¥ë¡¼¥Æ¥£¥ó¥°¼êË¡¤ËÂФ·¤Æ, ¥Ñ¥±¥Ã ¥È¤ÎÌÜŪÃϤޤǤÎÁ÷¿®ÂÔµ¡¾ðÊó¤ò¹Íθ¤·¤¿¿·¤¿¤Ê·ÐÏ©À©¸æ¼êË¡¤òÄ󰯤·, ɾ²Á¤¹¤ë. ·×»»µ¡¼Â¸³¤Î·ë²Ì¤«¤éÄ󰯼êË¡ ¤Ï, ¥Í¥Ã¥È¥ï¡¼¥¯Æâ¤Î¥Ñ¥±¥Ã¥È¿ô¤¬¾¯¤Ê¤¤¾ì¹ç¤Ë, Îɤ¤À­Ç½¤ò¼¨¤¹¤³¤È¤ò³Îǧ¤·¤¿.

P-4
Âê̾¥Þ¥¤¥¯¥í¿¶Æ°È¯ÅťǥХ¤¥¹¤ÎÅù²Á²óÏ©¥â¥Ç¥ê¥ó¥°
Ãø¼Ô ¡ûÃæÎÓ ·¼»Ê (ÆàÎɸ©ÆàÎÉ»Ô)
Pagepp. 127 - 132
Keyword ´Ä¶­È¯Åŵ»½Ñ, Åù²Á²óÏ©¥â¥Ç¥ë, ²óÏ©¥·¥ß¥å¥ì¡¼¥·¥ç¥ó, ¿¶Æ°È¯ÅťǥХ¤¥¹, ¥¨¥ì¥¯¥È¥ì¥Ã¥È
Abstract¿¶Æ°È¯ÅťǥХ¤¥¹¤Ï¡¢¼þÊմĶ­¤«¤é¤Î³°Éô¿¶Æ°¤ò¥Ç¥Ð¥¤¥¹ÆâÉô¤Î¿¶Æ°»Ò¤ËÅÁ㤹¤ë¿¶Æ°µ¡¹½Éô¡¢¤ª¤è¤Ó¥¨¥ì¥¯¥È¥ì¥Ã¥È¤È¿¶Æ°»Ò´Ö¤ÎÀÅÅÅͶƳ¤ÇȯÀ¸¤·¤¿ÅÅ²Ù°ÜÆ°¤òÅÅÎϤËÊÑ´¹¤¹¤ëȯÅÅÅŶËÉô¤«¤é¹½À®¤µ¤ì¤ë. ²æ¡¹¤Ï¤³¤ì¤é¤ËÂбþ¤¹¤ëÅù²Á²óÏ©¥â¥Ç¥ë¤ò¹½ÃÛ¤·¡¢³°Éô¿¶Æ°¤ËÂбþ¤·¤¿È¯ÅÅÅ۵ÇÈ·Á¤ª¤è¤ÓȯÅÅÎ̤òͽ¬¤¹¤ë²óÏ©¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¼êË¡¤òÄ󰯤¹¤ë. ¿¶Æ°È¯ÅťǥХ¤¥¹Ã±ÂΤäȯÅŲóÏ©¤Î¼Â¬¥Ç¡¼¥¿¤È¤ÎÈæ³Ó¸¡¾Ú¤ò¹Ô¤¤¡¢²æ¡¹¤ÎÄ󰯼êË¡¤ÎÍ­¸úÀ­¤òÌÀ¤é¤«¤Ë¤·¤¿.

P-5
Âê̾¼õưÉôÉʤΤ¿¤á¤Î¥¤¥ó¥Ô¡¼¥À¥ó¥¹Â¬Äê¤Î¹»Àµ¤Ë´Ø¤¹¤ë¸¦µæ
Ãø¼Ô ¡ýÄÔ Íµ¼ù, ¾®¼¼ µ®µª (¿ÀÆàÀ²ÊÂç³ØÂç³Ø±¡Åŵ¤ÅŻҹ©³ØÀì¹¶)
Pagepp. 133 - 137
Keyword ¹»Àµ, ¼õưÉôÉÊ, ¥¤¥ó¥Ô¡¼¥À¥ó¥¹Â¬Äê, ¬Äê¼£¶ñ
Abstract¶áǯ¡¢¥Á¥Ã¥×ÉôÉʤϾ®·¿²½¤¬¿Ê¤ß¹â¼þÇÈÎΰè¤Çưºî¤¹¤ëÀ½ÉʤËÍøÍѤµ¤ì¤Æ¤¤¤ë¡£¥Á¥Ã¥×ÉôÉʥ᡼¥«¡¼¤Ç¤Ï¡¢ÉʼÁÊݾڤΤ¿¤á½Ð²Ù»þ¤ËÂçÎ̤˸¡ºº¤ò¹Ô¤¦¡£¤·¤¿¤¬¤Ã¤Æ¡¢¸¡ºº¤ò¤¹¤ë¤¿¤á¤Î¬Äê¼£¶ñ¤ÏÉôÉʤòÂçÎ̤ˬÄê¤Ç¤­¤ë¤³¤È¤¬É¬ÍפǤ¢¤ë¡£¹â¼þÇÈÎΰèÍѤÎÀºÌ©¤Ê¬Äê¼£¶ñ¤Ï¡¢¿Þ1±¦Â¦¤Î¤è¤¦¤Ë¥Á¥Ã¥×ÉôÉʰì¸Ä¤ò¬Äꤹ¤ë¤³¤È¤Ï¤Ç¤­¤ë¤¬¡¢ÉôÉʤòû»þ´Ö¤ÇÂçÎ̤ˬÄꤹ¤ë¤³¤È¤Ë¤Ï¸þ¤¤¤Æ¤¤¤Ê¤¤¡£¤Þ¤¿¡¢ÉôÉʤòÂçÎ̤ˬÄꤹ¤ë¤³¤È¤ËÂбþ¤·¤¿Â¬Äê¼£¶ñ¤Ï¿Þ1º¸Â¦¤Î¤è¤¦¤ÊÈ󯱼´·¿¤Ç¤¢¤ë¡£È󯱼´·¿Â¬Äê¼£¶ñ¤Ï¡¢¸íº¹Í×°ø¤¬Â¬Äê¾õ¶·¤Ë¤è¤êÊѲ½¤·¤ä¤¹¤¯¹â¼þÇÈÎΰè¤Ç¤ÏÉÔ°ÂÄê¤Ç¤¢¤ë¡£»ÔÈΤµ¤ì¤Æ¤¤¤ëƱ¼´·¿¥­¥ã¥ê¥Ö¥ì¡¼¥¿(¿Þ2)¤Ç¼è¤ê½ü¤¯¤³¤È¤¬¤Ç¤­¤ë¤Î¤Ï¡¢¥³¥Í¥¯¥¿¤ÎÉôʬ¤Þ¤Ç¤¢¤ë¡£Æ±¼´·¿Â¬Äê¼£¶ñ¤Ï¥³¥Í¥¯¥¿¤«¤éÀè¤âÉôʬ¤Ïµ¡³£Åª¤ÊÀ£Ë¡¤«¤é¸íº¹Í×°ø¤Î±Æ¶Á¤¬´ûÃΤǤ¢¤ë¤¿¤á¼è¤ê½ü¤­¤ä¤¹¤¤¤¬¡¢È󯱼´·¿Â¬Äê¼£¶ñ¤ÏÅŶËÉôʬ¤Î¸íº¹Í×°ø¤Î±Æ¶Á¤Ï̤ÃΤǤ¢¤ë¤¿¤á¤Ë¼è¤ê½ü¤¯¤³¤È¤¬¤Ç¤­¤Ê¤¤¡£È󯱼´·¿Â¬Äê¼£¶ñ¤Î¸íº¹Í×°ø¤ò¼è¤ê½ü¤¯¤Ë¤Ï¡¢¥­¥ã¥ê¥Ö¥ì¡¼¥¿¤â¬ÄêÂÐ¾Ý (Device Under Test°Ê²¼DUT)¤Ç¤¢¤ë¥Á¥Ã¥×ÉôÉÊ¤ÈÆ±¤¸¹½Â¤¤Ç¤Ê¤¯¤Æ¤¤¤±¤Ê¤¤¡£¤·¤«¤·¡¢¥Á¥Ã¥×ÉôÉÊ¤ÈÆ±¤¸¥µ¥¤¥º¤Î¥­¥ã¥ê¥Ö¥ì¡¼¥¿¤Ï»ÔÈΤµ¤ì¤Æ¤¤¤Ê¤¤¤Ä¤Þ¤ê¡¢Æ±¼´·¿¤Î¥­¥ã¥ê¥Ö¥ì¡¼¥¿(¿Þ2)¤Î¤è¤¦¤ËÍÍ¡¹¤Ê´óÀ¸¥Ñ¥é¥á¡¼¥¿¤¬½½Ê¬¤Ë¼è¤ê½ü¤«¤ì¤Æ¸¡Æ¤¤µ¤ì¤Æ¤¤¤ë¤È¤Ï¹Í¤¨¤Ë¤¯¤¤¡£ËÜÏÀʸ¤Ç¤Ï¡¢²óÏ©¥·¥ß¥å¥ì¡¼¥¿¤òÍѤ¤¤Æ¡¢È󯱼´·¿Â¬Äê¼£¶ñ¤Î¸íº¹Í×°ø¤òÍýÁÛŪ¤Ê¥­¥ã¥ê¥Ö¥ì¡¼¥¿¤Ç¹»Àµ¤¬²Äǽ¤Ç¤¢¤ë¤«¸¡¾Ú¤¹¤ë¡¢¤Þ¤¿ÍýÁÛŪ¤Ç¤Ï¤Ê¤¤¥­¥ã¥ê¥Ö¥ì¡¼¥¿¤Ç¹»Àµ¤ò¤·¤¿¾ì¹ç¤Ë¤É¤Î¤è¤¦¤Ë¹»Àµ¤Ë±Æ¶Á¤¬¤¢¤ë¤«¸¡¾Ú¤È´ûÃΤÎÄñ¹³¤òÍѤ¤¤Æ¥¤¥ó¥Ô¡¼¥À¥ó¥¹³ÎÅÙÈϰϤò¸¡¾Ú¤¹¤ë¡£²óÏ©¥·¥ß¥å¥ì¡¼¥¿¤Ç¹Ô¤Ã¤¿¡£

P-6
Âê̾An Experimental Study on Interdigital Capacitance Sensor for Detecting Heart Rate
Ãø¼Ô ¡ýXiaolun Cao, Masayuki Hiromoto, Takashi Sato (Graduate School of Informatics, Kyoto University)
Pagepp. 138 - 143
Keyword Interdigital capacitance sensor, Heart rate monitoring, Design of experiment, Multiple linear regression
AbstractHeartbeat waveforms reflect our heart condition, hence, the devices that noninvasively and continuously measure eartbeat always attract a lot of attention. Common methods require direct contact of human body to the sensor to detect heartbeat. But Interdigital Capacitance Sensor can potentially be used to detect heartbeat with no need of direct contact and simple printing process, so our purpose is designing high sensitivity IDC sensor in heartbeat detecting. By modeling in 3D-EM simulation, DoE approach, and MLR regression, different sensors with optimized and non-optimized are printed and successfully captured hearbeat through a fingertip and different performance prove that our sensor modeling is correct.

P-7
Âê̾ÀÅÅÅÍÆÎ̬Äê¤Ë¤è¤ëTIM¤Îɾ²Á¤Ë¤Ä¤¤¤Æ
Ãø¼Ô ¡ýºØÆ£ Ì÷¹°, ÎëÌÚ ¸ç, ¾®¼¼ µ®µª (¿ÀÆàÀ²ÊÂç³ØÅŵ¤ÅŻҹ©³ØÀì¹¶)
Pagepp. 144 - 149
Keyword TIM, ÀÜ¿¨Ç®Äñ¹³, ÀÅÅÅÍÆÎ̬Äê, Ì©Ãå¶ñ¹ç, ºÆ¸½À­
Abstract¶áǯ,ÁǻҤι⽸ÀѲ½,¹âÀ­Ç½²½¤Ë¤è¤ëȯǮÎÌÁý²Ã¤È¶¦¤Ë,À½Éʤξ®·¿²½¤¬¿Ê¤ßȯǮ̩ÅÙ¤¬Áý²Ã¤¹¤ë¤¿¤á,ÊüÇ®Âкö¤¬½ÅÍפˤʤäƤ­¤¿[1].ÁǻҤÈÊüÇ®´ï¤Î´Ö¤ËÇ®ÅÁƳºàÎÁ(°Ê¸åTIM¤Èά¤¹)¤ò¶´¤à¤³¤È¤Ë¤è¤Ã¤ÆÁǻҤ«¤éȯÀ¸¤¹¤ëÇ®¤òÊüÇ®´ï¤Ëƨ¤¬¤·¤ä¤¹¤¯¤Ç¤­¤ë.¼ÂºÝ¤ÎÁǻҤäÊüÇ®´ï¤ÎÀÜ¿¨Ì̤ǤÏÅÀÀÜ¿¨¤¬Ìµ¿ô¤Ë¸ºß¤·,ÀÜ¿¨¤·¤Æ¤¤¤ëÉôʬ¤È¤·¤Æ¤¤¤Ê¤¤Éôʬ¤¬Â¸ºß¤¹¤ë.ÀÜ¿¨¤·¤Æ¤¤¤ëÌÌÀѤÏÌ̤ÎÁƤµ¤ÈÀÜ¿¨°µÎϤˤè¤Ã¤ÆÊѲ½¤¹¤ë.¤è¤Ã¤Æ,TIM¤ÎÇ®Äñ¹³¤ÏTIM¼«¿È¤ÎÆÃÀ­°Ê³°¤Ë¤â,ºàÎÁ´Ö¤ÎÌ©Ãå¶ñ¹ç¤Ç¤âÊѲ½¤¹¤ë¤Î¤Ç,¤³¤ì¤é¤ò¹Íθ¤·¤¿TIM¤ÎÀÅÅÅÍÆÎ̬Äê¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤ò¹Ô¤¤Êó¹ð¤·¤¿.¤·¤«¤·, ÀÅÅÅÍÆÎ̬Äê¤ÏÅŵ¤Åª¤Ê±Æ¶Á¤Ë¤è¤êÌ©Ãå¶ñ¹ç¤ËľÀÜ´ØÏ¢¤Î¤Ê¤¤Í×ÁǤ¬ÊÑÆ°¤¹¤ë¤Î¤Ç,´ØÏ¢¤¬¤¢¤ëÍ×ÁǤȤʤ¤Í×ÁǤòÀÚ¤êʬ¤±¤ëɬÍפ¢¤ë.¤½¤³¤Ç,Ëܸ¦µæ¤Ç¤ÏÌ©Ãå¶ñ¹ç¤ËľÀÜ´ØÏ¢¤·¤¿ÀÅÅÅÍÆÎ̬Äê¤Ë¤Ä¤¤¤Æ²òÀϤò¹Ô¤¤,Ç®Äñ¹³Â¬Äê¤ÈÀÅÅÅÍÆÎ̬Äê¤Î´ØÏ¢¤ò¸¡Æ¤¤·¤¿.

P-8
Âê̾³¬ÁØÅ¾Ã֤ˤè¤ëHEVC¸þ¤±¾®ÌÌÀÑDCTQ¤ÎVLSI¥¢¡¼¥­¥Æ¥¯¥Á¥ã
Ãø¼Ô ¡ûÆ£ÅÄ ¸¼ (ÂçºåÅŵ¤ÄÌ¿®Âç³Ø), °ËÀª Àµ¾° (³ô¼°²ñ¼Ò¥·¥ó¥»¥·¥¹), ìä ʸ·³ (ÂçºåÂç³Ø), ÅÏî´ ¸­¼£ (³ô¼°²ñ¼Ò¥·¥ó¥»¥·¥¹)
Pagepp. 150 - 155
Keyword HEVC, DCTQ, VLSI
Abstract¼¡À¤ÂåÉ乿²½HEVC¤Ç¤Ï¼þÇÈ¿ôÊÑ´¹½èÍý¤Ë4x4¡Á32x32¤Î²ÄÊÑDCT¤¬ÍѤ¤¤é¤ì¤Æ¤¤¤ë¡¥´û¸¤ÎÉ乿²½Êý¼°¤ËÂФ·¤ÆÂ礭¤Ê¥Ö¥í¥Ã¥¯¤Ç¤Î½èÍý¤È¤Ê¤ë¤¿¤á¡¤¼ÂÁõ¤Ë¤ª¤±¤ë²óÏ©ÌÌÀѤÎÁýÂ礬²ÝÂê¤È¤Ê¤Ã¤Æ¤¤¤ë¡¥ÆÃ¤ËžÃÖ¥á¥â¥ê¤Ï16ÇÜɬÍפǤ¢¤ê¡¤FPGA¤Ê¤É¤Ç¤Î¼ÂÁõ¤Ø¤ÎÉéô¤È¤Ê¤Ã¤Æ¤¤¤ë¡¥Ëܸ¦µæ¤Ç¤Ï³¬ÁØÅ¾ÃÖÊý¼°¤Ë¤è¤êžÃÖ¥á¥â¥ê¤ËɬÍפϥϡ¼¥É¥³¥¹¥È¤òºï¸º¤¹¤ë¤Ê¤É¡¤HEVC¸þ¤±DCTQ¤Î¾®ÌÌÀÑ¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤òÄ󰯤¹¤ë¡¥

P-9
Âê̾³ÈÄ¥¥¢¥ì¡¼½èÍý¤òÍѤ¤¤¿¶áÀÜÇȤÎÅþÍèÇÈ¿ô¿äÄê¤Ë´Ø¤¹¤ë°ì¸¡Æ¤
Ãø¼Ô ¡ý»³ÅÄ ·ÅÂÀ (²£É͹ñΩÂç³ØÂç³Ø±¡), »ÔÌÓ ¹°°ì (²£É͹ñΩÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ±¡)
Pagepp. 156 - 160
Keyword ÅþÍèÇÈ¿ô¿äÄê, ¥¢¥ì¡¼¥¢¥ó¥Æ¥Ê, ³ÈÄ¥¥¢¥ì¡¼½èÍý
AbstractËܹƤǤϡ¤³ÈÄ¥¥¢¥ì¡¼½èÍý¤òÍѤ¤¤¿¶áÀÜÇȤÎÅþÍèÇÈ¿ô¿äÄê¼êË¡¤òÄ󰯤¹¤ë¡¥³ÈÄ¥¥¢¥ì¡¼½èÍý¤òÍѤ¤¤¿ÅþÍèÊý¸þ¿äÄê¼êË¡¤Ç¤Ï¡¤Áǻҿô°Ê¾å¤ÎÅþÍèÇÈ¿ô¤ò¿äÄꤹ¤ë¤³¤È¤¬²Äǽ¤Ë¤Ê¤ê¡¤¥¢¥ì¡¼¤Î¼«Í³ÅÙ¤¬¸þ¾å¤¹¤ë¤¬¡¤¶áÀܤ¬ÅþÍ褷¤¿¾ì¹ç¤Ï¿äÄêÀºÅÙ¤¬ÂçÉý¤ËÎô²½¤¹¤ë¡¥ËܹƤǤϡ¤Áê´Ø¹ÔÎóR¤Î¸ÇÍ­ÃͤÎÈæÎ¨¤òÍѤ¤¤¿¼êË¡¡¤¤ª¤è¤Ó¥¸¥ã¥Ã¥¯¥Ê¥¤¥ÕË¡¤òÍѤ¤¤ë¤³¤È¤Ç¡¤¶áÀÜÇȤÎÅþÍèÇÈ¿ô¿äÄêÀºÅ٤βþÁ±¤òÌܻؤ¹¡¥

P-10
Âê̾¥¢¥ì¡¼³«¸ýÌ̤γÈÄ¥¤Ë¤è¤ëºÇŬ3¼¡¸µ¥¢¥ì¡¼¹½Â¤¤ÎÄêÎÌŪɾ²Á¤È¹âʬ²òǽÅþÍèÊý¸þ¿äÄê
Ãø¼Ô ¡ý¼¯Àî ͪÂÀ (²£É͹ñΩÂç³ØÂç³Ø±¡), »ÔÌÓ ¹°°ì (²£É͹ñΩÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ±¡)
Pagepp. 161 - 166
Keyword DOA¿äÄê, 3¼¡¸µ¹½Â¤¥¢¥ì¡¼¥¢¥ó¥Æ¥Ê, CRLB, ¥¢¥ì¡¼¥â¡¼¥É¥Ù¥¯¥È¥ë
AbstractËܹƤǤϡ¤¥¢¥ì¡¼³«¸ýÌ̤γÈÄ¥¤·¤¿3¼¡¸µ¥¢¥ì¡¼¹½Â¤¤Ë¤ª¤¤¤Æ¡¤¤½¤Î¿äÄêÀ­Ç½¤òÄêÎÌŪ¤Ëɾ²Á¤·¡¤ÅþÍèÊý¸þ¿äÄê¤Ë¤ª¤±¤ëÍ­ÍÑÀ­¤ò¸¡¾Ú¤¹¤ë¡¥Ãø¼Ô¤é¤Ï¡¤3¼¡¸µ¹½Â¤¥¢¥ì¡¼¤Î¥¢¥ì¡¼¥â¡¼¥É¥Ù¥¯¥È¥ë¤Î·Á¾õ¤ËÃåÌܤ·¡¤¥¢¥ó¥Æ¥Ê¤ÎÁǻҴֳ֤òÉôʬŪ¤ËȾÇÈŤòͤ¨¤¿Ä¹¤µ¤ËÀßÄꤷ¤Æ¤â¥°¥ì¡¼¥Æ¥£¥ó¥°¤Î±Æ¶Á¤ò¼õ¤±¤Ë¤¯¤¯¡¤¤è¤êÂ礭¤Ê¥¢¥ì¡¼³«¸ýÌ̤ò³ÎÊݤǤ­¤ë¥¢¥ì¡¼¹½Â¤¤ò¸¡Æ¤¤·¤Æ¤¤¤ë¡¥ËܹƤǤϡ¤CRLB(Cramer-Rao Lower Bound) ¤Îɾ²Á¼°¤òÍѤ¤¤ë¤³¤È¤Ç¡¤ÄêÎÌŪ¤Ë3¼¡¸µ¥¢¥ì¡¼¹½Â¤¤ÎÀ­Ç½¤òɾ²Á¤·¡¤¹âÀºÅÙ¤Ê2¼¡¸µÅþÍèÊý¸þ¿äÄ꤬²Äǽ¤È¤Ê¤ë¤³¤È¤ò¸¡¾Ú¤¹¤ë¡¥

P-11
Âê̾ľÀÜ¡¦´ÖÀÜ·¿¥¹¥Ô¡¼¥«¤òÍѤ¤¤¿»Ä¶ÁºÆ¸½²Äǽ¤ÊÈ¿¼Í·¿¥ª¡¼¥Ç¥£¥ª¥¹¥Ý¥Ã¥È¥·¥¹¥Æ¥à
Ãø¼Ô ¡ýÏÂÅÄ ÊþÇ·, À¸Æ£ Âçŵ (Ω̿´ÛÂç³ØÂç³Ø±¡ ¾ðÊóÍý¹©³Ø¸¦µæ²Ê), Ãæ»³ ²í¿Í, À¾±º ·É¿® (Ω̿´ÛÂç³Ø ¾ðÊóÍý¹©³ØÉô)
Pagepp. 167 - 172
Keyword ²»Áü¥×¥é¥Í¥¿¥ê¥¦¥à, ¥Ñ¥é¥á¥È¥ê¥Ã¥¯¥¹¥Ô¡¼¥«, ´ÖÀÜÆ°ÅÅ·¿¥¹¥Ô¡¼¥«, MEFX-LMS
AbstractËܹƤǤϡ¤¥Ñ¥é¥á¥È¥ê¥Ã¥¯¥¹¥Ô¡¼¥«¤È´ÖÀÜÆ°ÅÅ·¿¥¹¥Ô¡¼¥«¤òÊ»ÍѤ·¤¿²»Áü¥×¥é¥Í¥¿¥ê¥¦¥àÊý¼°¤Ë¤ª¤¤¤Æ¡¤»Ä¶Á»þ´Ö¤À¤±¤Ç¤Ê¤¯Ä󼨤¹¤ë»Ä¶Á¤ÎDÃÍ (Deutlichkeit) ¤òºÆ¸½¤¹¤ë¤³¤È¤Ë¤è¤ê¡¤»Ä¶Á´¶¤Î¤¢¤ë²»ÁüÄ󼨤ò²Äǽ¤È¤¹¤ë»Ä¶Á¤ÎºÆ¸½À­¤¬¹â¤¤²»¾ìÄó¼¨Ë¡¤òÄ󰯤¹¤ë¡¥¶ñÂÎŪ¤Ë¤Ï¡¤³Æ´ÖÀÜÆ°ÅÅ·¿¥¹¥Ô¡¼¥«¤ËÂФ·¤Æ¡¤¼õݰÌÃ֤ˤª¤±¤ë¥¤¥ó¥Ñ¥ë¥¹±þÅú¤¬ºÆ¸½¤¹¤ë²»¾ì¤Î¥¤¥ó¥Ñ¥ë¥¹±þÅú¤Ë¤Ê¤ë¤è¤¦¤Ê¥Õ¥£¥ë¥¿¤ò¤½¤ì¤¾¤ìÀ߷פ·¡¤¸¶¿®¹æ¤Ë¾ö¤ß¹þ¤ó¤ÇºÆÀ¸¤¹¤ë¤³¤È¤Ë¤è¤ê»Ä¶Á¤òÀ©¸æ¤¹¤ë¡¥¤½¤·¤Æ¡¤²»ÁüÄê°ÌÀ­Ç½¤ª¤è¤Ó»Ä¶Á¤Ë¤Ä¤¤¤ÆµÒ´Ñɾ²Á¼Â¸³¤ò¼Â»Ü¤·¡¤Äó°ÆË¡¤ÎÍ­¸úÀ­¤òɾ²Á¤¹¤ë¡¥

P-12
Âê̾ÂÓ°èϲ»ÉÕÍ¿¤Ë´ð¤Å¤¯ÉÔ²÷Áû²»¤Î²÷²»²½¤Ë¸þ¤±¤¿ºÇŬÂÓ°èÉý¤Î¸¡Æ¤
Ãø¼Ô ¡ýÂç±ö ¾Í¹ä, À¸Æ£ Âçŵ (Ω̿´ÛÂç³Ø±¡¾ðÊóÍý¹©³Ø¸¦µæ²Ê), Ãæ»³ ²í¿Í, À¾±º ·É¿® (Ω̿´ÛÂç³Ø¾ðÊóÍý¹©³ØÉô)
Pagepp. 173 - 178
Keyword ¥Ô¡¼¥¯¼þÇÈ¿ôÀ®Ê¬, ÉÔ²÷²», ²÷²»²½, İ³Ð¥Þ¥¹¥­¥ó¥°, ϲ»
Abstract¼¼Æâ¤Î¥Ô¡¼¥¯¼þÇÈ¿ôÀ®Ê¬¤ò´Þ¤àÉÔ²÷²»¤Î²÷²»²½¼êË¡¤È¤·¤Æ¡¤Ä°³Ð¥Þ¥¹¥­¥ó¥°¤Ë´ð¤Å¤¯ÉÔ²÷´¶Ä㸺¼êË¡¤¬Ä󰯤µ¤ì¤Æ¤¤¤ë¡¥¤³¤Î¼êË¡¤Ï¥Ô¡¼¥¯¼þÇÈ¿ôÀ®Ê¬¤òÀ©¸æ²»¤Ë¤è¤êʤ¤¤±£¤¹¤³¤È¤Ë¤è¤Ã¤Æ²÷²»²½¤ò¼Â¸½¤·¤Æ¤¤¤¿¤¬¡¤²»°µ¤ÎÂ礭¤ÊÀ©¸æ²»¤ÏÉÔ²÷´¶¤òÁýÂ礵¤»¤ë°ì°ø¤È¤â¤Ê¤Ã¤Æ¤¤¤¿¡¥°ìÊý¡¤²÷²»¤È¤·¤Æ¡¤²»³ÚÍýÏÀ¤Ç¤Ïϲ»¤¬ÃΤé¤ì¤Æ¤¤¤ë¡¥Ï²»¤Ï¡¤¤¢¤ë¥Ô¡¼¥¯¼þÇÈ¿ôÀ®Ê¬¤ËÂФ·¤Æ¤¢¤ëµ¬Â§¤Ç¾¤Î¥Ô¡¼¥¯¼þÇÈ¿ôÀ®Ê¬¤¬¤¢¤ë¤È¹Í¤¨¤ë¤³¤È¤¬¤Ç¤­¤ë¡¥¤½¤³¤ÇËܹƤǤϡ¤²»³ÚÍýÏÀ¤Ë¤ª¤±¤ëϲ»¤Î¹½Â¤¤Ë´ð¤Å¤­¡¤¥Ô¡¼¥¯¼þÇÈ¿ôÀ®Ê¬¤ËÂФ·¤ÆÏ²»À®Ê¬¤òÉÕÍ¿¤¹¤ë²÷²»²½¼êË¡¤òÄ󰯤¹¤ë¡¥ºÇ¸å¤Ë¡¤¼ç´Ñɾ²Á¼Â¸³¤Ë¤è¤êÄ󰯼êË¡¤ÎÍ­¸úÀ­¤ò³Îǧ¤·¤¿¡¥

P-13
Âê̾Ŭ±þ¥Î¥Ã¥Á¥Õ¥£¥ë¥¿¤òÍѤ¤¤¿²»À¼²òÀϤ˴ð¤Å¤¯Ê£¿ô¤Î¥Ï¥¦¥ê¥ó¥°¤ËÂФ¹¤ëÍÞ°µ¥·¥¹¥Æ¥à
Ãø¼Ô ¡ý¾å¸¶ ͵µ®, ¿ù±º ÍÛ²ð, ÁêÀî ľ¹¬ (ÅìµþÍý²ÊÂç³Ø)
Pagepp. 179 - 184
Keyword ¥Ï¥¦¥ê¥ó¥°, Ŭ±þ¥Î¥Ã¥Á¥Õ¥£¥ë¥¿, ¥ê¥¢¥ë¥¿¥¤¥à½èÍý
Abstract²»À¼¶è´ÖÀ¸¤¸¤ëñ°ì¤Î¥Ï¥¦¥ê¥ó¥°¤ËÂФ·¤Æ¸ú²ÌŪ¤Ê¥Ï¥¦¥ê¥ó¥°¥­¥ã¥ó¥»¥é¤¬Ä󰯤µ¤ì¤Æ¤¤¤ë¡¥¤·¤«¤·¤Ê¤¬¤é¡¤¼Â´Ä¶­¤Ë¤ª¤¤¤Æ¤Ï¥¢¥ó¥×¤Î¥²¥¤¥ó¤ò¾å¤²¤ëÄø¡¤Ê£¿ô¤Î¥Ï¥¦¥ê¥ó¥°¤¬È¯À¸¤¹¤ë¾ì¹ç¤¬¤¢¤ë¡¥¤½¤Î¤¿¤á¡¤Ê£¿ô¤Î¼þÇÈ¿ôÎΰè¤Ë¤ª¤¤¤ÆÈ¯À¸¤¹¤ë¥Ï¥¦¥ê¥ó¥°¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤¹¤ëɬÍפ¬¤¢¤ë¡¥ËܹƤǤϲ»À¼¶è´Ö¤ËÀ¸¤¸¤ëÊ£¿ô¤Î¥Ï¥¦¥ê¥ó¥°¤òÍÞÀ©¤Ç¤­¤ë¥ê¥¢¥ë¥¿¥¤¥à¥Ï¥¦¥ê¥ó¥°¥­¥ã¥ó¥»¥é¤òÄ󰯤¹¤ë¡¥Äó°Æ¥·¥¹¥Æ¥à¤Ï¥Ï¥¦¥ê¥ó¥°¿äÄêÉô¤ËÊ£¿ô¤Î¥Î¥Ã¥Á¥Õ¥£¥ë¥¿¤ò½Ä³Àܳ¤¹¤ë¡¥ÍÞÀ©Éô¤Ç¤Ï¡¤¿äÄꤷ¤¿¼þÇÈ¿ô¤ò½üµî¤¹¤ëÊ£¿ô¤Î¥Î¥Ã¥Á¥Õ¥£¥ë¥¿¤ò½Ä³Àܳ¤¹¤ë¤³¤È¤Ë¤è¤ê¥Ï¥¦¥ê¥ó¥°¿®¹æ¤Î¤ßÍÞÀ©¤¹¤ë¡¥ºÇ¸å¤Ë¡¤¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤êÄó°ÆÀ­¤ÎÍ­¸úÀ­¤ò¼¨¤¹¡¥

P-14
Âê̾¼ê¤Î¤Ò¤é¤Î·¹¤­¤Ë¥í¥Ð¥¹¥È¤ÊÈóÀÜ¿¨·¿¾¸ÌæÇ§¾Ú¥·¥¹¥Æ¥à¤Î¸¡Æ¤
Ãø¼Ô ¡ýº´Æ£ ÂóÅÎ, ÀÄ»³ ¾Ï°ìϺ, ¼ò°æ ½¤Æó, Í·º´ ½¨ºî, °ËÆ£ ¹¯°ì, ÀÄÌÚ ¹§Ê¸ (ÅìËÌÂç³Ø Âç³Ø±¡¾ðÊó²Ê³Ø¸¦µæ²Ê)
Pagepp. 185 - 190
Keyword ¾¸ÌæÇ§¾Ú, 3¼¡¸µ·×¬, ¥ì¡¼¥¶²óÀÞ¸÷
AbstractÈóÀÜ¿¨·¿¾¸ÌæÇ§¾Ú¤Ç¤Ï¡¤¼ê¤È¥«¥á¥é¤Î°ÌÃÖ´Ø·¸¤Ê¤É¤Ë¤è¤Ã¤Æ¼Í±ÆÅª¤Ê²èÁüÊÑ·Á¤¬²Ã¤ï¤ë¤³¤È¤¬¤¢¤ë¡¥½¾Íè¤Î¾¸ÌæÇ§¾Ú¥¢¥ë¥´¥ê¥º¥à¤Ï¡¤¼ê¤òÀµÌ̤«¤é»£±Æ¤·¤Æ¤¤¤ë¤³¤È¤òÁÛÄꤷ¤Æ¤¤¤ë¾ì¹ç¤¬Â¿¤¤¤¿¤á¡¤¤³¤Î¤è¤¦¤Ê²èÁüÊÑ·Á¤Ë¥í¥Ð¥¹¥È¤Êǧ¾Ú¤ò¹Ô¤¦¤³¤È¤¬º¤Æñ¤Ç¤¢¤ë¡¥¤³¤ì¤ËÂФ·¡¤É®¼Ô¤é¤Ï¡¤Ç½Æ°·¿3¼¡¸µ·×¬¤òÍѤ¤¤¿¼ê¤Î¤Ò¤é²èÁü¤Î´ö²¿ÊäÀµ¼êË¡¤òÄ󰯤·¤Æ¤¤¤ë¡¥ËܹƤǤϡ¤¼ê¤ò¤¤¤í¤¤¤í¤ÊÊý¸þ¡¦³ÑÅ٤˷¹¤±¤¿²èÁü¥Ç¡¼¥¿¥Ù¡¼¥¹¤òºîÀ®¤·¡¤Ä󰯼êË¡¤ÎÀ­Ç½É¾²Á¼Â¸³¤ò¹Ô¤¦¡¥¤½¤·¤Æ¡¤Ä󰯼êË¡¤Ë¤è¤ë²èÁüÊäÀµ¤ò¹Ô¤¦¤³¤È¤Ç¡¤½¾Íè¤Î¾¸ÌæÇ§¾Ú¥¢¥ë¥´¥ê¥º¥à¤Ç¤â¼ê¤Î¤Ò¤é¤Î·¹¤­¤Î±Æ¶Á¤òÄ㸺¤·¤ÆÇ§¾Ú¤ò¹Ô¤¦¤³¤È¤¬²Äǽ¤Ç¤¢¤ë¤³¤È¤ò¼Â¾Ú¤¹¤ë¡¥

P-15
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Pagepp. 191 - 196
Keyword ²èÁüÉü¸µ, »¨²»½üµî, ÀµÂ§²½, IRLS
AbstractËÜÏÀʸ¤Ç¤Ï¡¤²èÁüÉü¸µ¤Î¤¿¤á¤ÎÀµÂ§²½Ë¡¤È¤·¤Æ¡¤¥á¥¸¥¢¥ó¤Ë´ð¤Å¤¯ÀµÂ§²½Ë¡¤òÄ󰯤¹¤ë¡¥Äó°ÆË¡¤Ç¤Ï¡¤²èÁÇÃͤ¬¾®Îΰè¤Ë¤ª¤±¤ë¥á¥¸¥¢¥ó¤È¤Ê¤ë½½Ê¬¾ò·ï¤«¤éÀµÂ§²½¹à¤òƳ½Ð¤·¤Æ¤¤¤ë¡¥Äó°ÆË¡¤Ï¡¤²èÁÇÃͤ˥᥸¥¢¥ó¤Ç¤¢¤ë¤³¤È¤Î¥Ú¥Ê¥ë¥Æ¥£¤ò²Ý¤¹¤³¤È¤Ç¡¤¥á¥¸¥¢¥ó¥Õ¥£¥ë¥¿¤ÈƱ¤¸¤¯¡¤¥¨¥Ã¥¸ÊݸÀ­¤ËÍ¥¤ì¤¿ÀµÂ§²½Ë¡¤È¤Ê¤ë¤³¤È¤¬´üÂԤǤ­¤ë¡¥Ä󰯤¹¤ëÀµÂ§²½¹à¤Ï¡¤ÆÌ´Ø¿ô¤È¤Ï¤Ê¤é¤º¡¤Total Variation(TV)ÀµÂ§²½¤ÇÍѤ¤¤é¤ì¤ëÆÌºÇŬ²½¤Î¼êË¡¤òŬÍѤ¹¤ë¤³¤È¤Ï¤Ç¤­¤Ê¤¤¡¥¤½¤³¤Ç¡¤Ä󰯤·¤¿¥á¥¸¥¢¥óÀµÂ§²½¤ò²Ù½ÅÉÕ¤­ºÇ¾®Æó¾è¤ÎÌäÂê¤Ø¶á»÷¤¹¤ë¤³¤È¤Ç¡¤·«¤êÊÖ¤·²Ã½ÅºÇ¾®Æó¾è(IRLS)Ë¡¤òŬÍѤ·¤Æ¤¤¤ë¡¥¼Â¸³¤Ç¤Ï¡¤»¨²»½üµîÌäÂê¤Ë¤Ä¤¤¤ÆTVÀµÂ§²½¤ÈÈæ³Ó¤ò¹Ô¤¤¡¤Í­¸úÀ­¤ò¼¨¤·¤Æ¤¤¤ë¡¥

P-16
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Pagepp. 197 - 202
Keyword ÈáÌĸ¡½Ð
AbstractËÜÊó¹ð¤Ç¤Ï¡¤ÈáÌĸ¡½Ð¥·¥¹¥Æ¥à¤Ë½èÍý¤Î¿ÍÍÀ­¤ò»ý¤¿¤»¤ë¤¿¤á¡¤ÈáÌIJ»À¼¤Ë¿®ÍêÅÙ¤òÉÕÍ¿¤¹¤ë¤³¤È¤òÌÜŪ¤È¤·¡¤¤½¤Î¿®ÍêÅÙ¤òÉÕÍ¿¤¹¤ë¼ê³Ý¤«¤ê¤Ë¤Ä¤¤¤ÆÄ´ºº¤ò¹Ô¤Ã¤¿¡¥ Ä´ºº¤ËÅö¤¿¤ê¡¤¼ýÏ¿¤·¤¿ÈáÌIJ»À¼¤òÈ︳¼Ô47̾¤Î¼ç´Ñɾ²Á¤Ë¤è¤ê´í¸±¤ò´¶¤¸¤ëÈáÌĤ«Èݤ«¤ËʬÎष¡¤Í­°Õ¿å½à5%¤Çº¹¤¬Ç§¤á¤é¤ì¤¿ÈáÌIJ»À¼¤òÃê½Ð¤·¤¿¡¥ Ãê½Ð¤·¤¿³ÆÈáÌIJ»À¼¤Î´ðËܼþÇÈ¿ô¤ò¼«¸ÊÁê´ØË¡¤Ë¤è¤ê»»½Ð¤·¡¤¤½¤ÎȯÏÃÆâʬ»¶¤òµá¤á¡¤È¯ÏÃÆâʬ»¶¤ÎÅùʬ»¶À­¤ò¸¡Äꤷ¤¿·ë²Ì¡¤´í¸±¤ò´¶¤¸¤¿ÈáÌĤÎȯÏÃÆâʬ»¶¤¬´¶¤¸¤Ê¤¤ÈáÌĤÎȯÏÃÆâʬ»¶¤ËÈæ¤ÙÍ­°Õ¤ËÂ礭¤¤·¹¸þ¤Ë¤¢¤ë¤³¤È¤¬ÌÀ¤é¤«¤Ë¤Ê¤Ã¤¿¡¥

P-17
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Ãø¼Ô ¡ýÐò¸« ½ÕÆà, °ËÅì ÍÎÍ´, Æ«»³ ·ò¿Î (ÅìµþÅŵ¡Âç³Ø)
Pagepp. 203 - 208
Keyword ¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿, PSO, ÈóÀþ·ÁºÇŬ²½
AbstractËܸ¦µæ¤Ç¤Ï¡¤PSO(Particle Swarm Optimization)¤òÍѤ¤¤¿IIR(Infinite Impulse Response)¥Õ¥£¥ë¥¿À߷פˤª¤±¤ë¶É½ê²òÄäα²óÈòË¡¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤¹¤ë¡¥PSO¤ÏÈóÀþ·ÁºÇŬ²½ÌäÂê¤ËÍÆ°×¤ËŬÍѲÄǽ¤Ç¤¢¤ë¤¬¡¤Áá´ü¼ý«¤Ë¤è¤ë¶É½ê²òÄäαÌäÂ꤬»ØÅ¦¤µ¤ì¤Æ¤¤¤ë¡¥¤½¤³¤Ç¡¤Ãµº÷»þ¤Ë¡¤·²¤ò¾¤ÎÎΰè¤ËºÆÇÛÃÖ¤·¡¤ÄäαÌäÂê¤ò²óÈò¤¹¤ëÊýË¡¤ò¸¡Æ¤¤¹¤ë¡¥Äó°ÆË¡¤Ï¡¤Ê£¿ô·²¤òƳÆþ¤·¡¤Ê£¿ô¤ÎÎɲò¤òÍѤ¤¤ÆÎɹ¥¤ÊºÆÇÛÃÖÎΰè¤ò·èÄꤹ¤ë¡¥ Àß·×Îã¤è¤ê¡¤Ä󰯤¹¤ëºÆÇÛÃÖË¡¤Î¶É½ê²òÄäαÌäÂê¤ËÂФ¹¤ëÍ­¸úÀ­¤ò¼¨¤¹¡¥

P-18
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Pagepp. 209 - 212
Keyword Ŭ±þ¥Î¥Ã¥Á¥Õ¥£¥ë¥¿, ¸ûÇÛ¥¢¥ë¥´¥ê¥º¥à, ¶¹ÂÓ°è¿®¹æ½üµî
Abstract¹­ÂÓ°è¿®¹æ¤ËËä¤â¤ì¤ë¶¹ÂÓ°è¿®¹æ¤ò½üµî¤¹¤ëÊýË¡¤È¤·¤Æ¡¤Å¬±þ¥Î¥Ã¥Á¥Õ¥£¥ë¥¿¤¬ÍѤ¤¤é¤ì¤ë¡¥²æ¡¹¤Ï°ÊÁ°¤ËŬ±þ¥Î¥Ã¥Á¥Õ¥£¥ë¥¿¤ò¹â®¡¦¹âÀºÅÙ¤ËÆ°ºî¤µ¤»¤ëñĴÁý²Ã¸ûÇÛ¥¢¥ë¥´¥ê¥º¥à¤òÄ󰯤·¤¿¡¥ËܹƤǤϡ¤¤½¤Î¥¢¥ë¥´¥ê¥º¥à¤ò¹¹¤Ë¹âÀºÅÙ²½¤µ¤»¤ë¤³¤È¤òÌÜŪ¤Ë¡¤¸ûÇÛ¤ÎÊý¸þ¤ò·èÄꤹ¤ë´Ø¿ô¤òÉÔϢ³¤ÊÉ乿´Ø¿ô¤«¤éϢ³´Ø¿ô¤ËÊѹ¹¤·¤¿¿·¤·¤¤¥¢¥ë¥´¥ê¥º¥à¤òÄ󰯤¹¤ë¡¥·×»»µ¡¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Î·ë²Ì¡¤Ä󰯼êË¡¤¬½¾Íè¼êË¡¤ÈÈæ¤Ù¤Æ¿äÄê¼þÇÈ¿ô¤ÎMSE¤¬Ìó1dB²þÁ±¤·¡¤Ä󰯼êË¡¤¬¹âÀºÅÙ¤ËÆ°ºî¤¹¤ë¤³¤È¤¬³Îǧ¤Ç¤­¤¿¡¥


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Æü»þ: 2014ǯ8·î4Æü(·î) 16:30-17:30
Éô²°: ¹ñºÝ²ñµÄ¾ì Ãϲ¼1³¬¡Ö¥¤¥Ù¥ó¥È¥Û¡¼¥ë¡×
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SP-1 (»þ´Ö: 16:30 - 17:30)
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Pagepp. 213 - 222
Abstractµ»½Ñ¤Î¿ÊÊâ¤È¶¦¤Ë²æ¡¹¤Î¿È¤Î¼þ¤ê¤Î¤â¤Î¤Ï¤è¤ê¿Í´Ö¤Ë¿ÆÏÂŪ¤Ë¤Ê¤Ã¤Æ¤¤¤¯¡¥¤³¤ì¤Ï ËÜÍè¿Í´Ö¤¬¿Í´Ö¤òǧ¼±¤·¡¤¿Í´Ö¤È´Ø¤ï¤ë¤¿¤á¤ÎǾ¤ò»ý¤Ä¤«¤é¤Ç¤¢¤ë¡¥¿Í´Ö·¿¥í¥Ü¥Ã ¥È¤Î¸¦µæ¤Ï¡¤Ã±¤Ê¤ëµ»½Ñ³«È¯¤Ç¤Ï¤Ê¤¯¡¤¤½¤Î¤è¤¦¤Ê¿Í´Ö¤òÍý²ò¤¹¤ë¤¿¤á¤Î¸¦µæ¤Ç¤¢ ¤ê¡¤¤Þ¤¿¤½¤Î³«È¯¤òÄ̤·¤ÆÆÀ¤é¤ì¤ë¿Í´Ö¤ËÂФ¹¤ëÍý²ò¤Ï¡¤¤è¤ê¿Í´Ö¤¬Å¬±þ¤·¤ä¤¹¤¤ ¥á¥Ç¥£¥¢¤Î¸¶Íý¤òƳ¤­½Ð¤¹¡¥


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Æü»þ: 2014ǯ8·î5Æü(²Ð) 9:15-10:30
Éô²°: 301A¼¼
ºÂĹ: »³Â¼ À¶Î´ (Ãæ±ûÂç³Ø)

As2-1-1 (»þ´Ö: 9:15 - 10:05)
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Pagepp. 223 - 228
Keyword ÆÃÀ­¤Ð¤é¤Ä¤­, ¥â¥Ë¥¿²óÏ©, ÆÃÀ­Êä½þ, ´ðÈĥХ¤¥¢¥¹, ¥¨¥Í¥ë¥®¡¼¸úΨ
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As2-1-2 (»þ´Ö: 10:05 - 10:30)
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Pagepp. 229 - 234
Keyword ¥â¥ó¥Æ¥«¥ë¥íË¡, ½ÅÅÀŪ¥µ¥ó¥×¥ê¥ó¥°, Êâα¤ê²òÀÏ, ¤Ð¤é¤Ä¤­¹Íθ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó, ºÇµÞ¹ß²¼Ë¡
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Æü»þ: 2014ǯ8·î5Æü(²Ð) 10:45-11:45
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An2-2-1 (»þ´Ö: 10:45 - 11:20)
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Pagepp. 235 - 238
Keyword ÃÙ±ä»þ´Ö, ÃÙ±ä¥Õ¥£¡¼¥É¥Ð¥Ã¥¯, ¿¶Æ°Ää»ß, ·ë¹çÃÙ±ä
Abstract¾ðÊó¤ä¿®¹æ¤ÎÅÁÁ÷¤Ë¤ÏÃٱ䤬ɬ¤ºÈ¼¤¦¡¥¤³¤ÎÅÁÁ÷ÃÙ±ä¤Ï¡¤¥·¥¹¥Æ¥à¤ÎÀ­Ç½Îô²½¤äÉÔ°ÂÄê²½¤òÂ¥¤¹Ìñ²ð¼Ô¤È¤·¤Æ¸Å¤¯¤«¤é°·¤ï¤ì¤Æ¤­¤¿¡¥¤·¤«¤·¡¤¤³¤ì¤È¤ÏÈ¿ÂФÎȯÁۤǡ¤ÃÙ±ä¤ò¥·¥¹¥Æ¥à¤Î°ÂÄê²½¤ËÍøÍѤ·¤è¤¦¤È¤¹¤ë¸¦µæÊ¬Ì¤¢¤ë¡¥Ëֱܹé¤Ç¤Ï¡¤ÅÁÁ÷ÃÙ±ä¤ò¥·¥¹¥Æ¥à¤Î°ÂÄê²½¤Ø¤ÈÀѶËŪ¤Ë³èÍѤ·¤è¤¦¤È¤¹¤ëºÇ¿·¤Î¸¦µæ¤ò¡¤É®¼Ô¤Î¸¦µæÀ®²Ì¤ò¸ò¤¨¤Æ²òÀ⤹¤ë¡¥ÆÃ¤Ë¡¤Ã濴Ū¤ÊÌò³ä¤ò²Ì¤¿¤·¤Æ¤¤¤ë¡ÖÃÙ±ä¥Õ¥£¡¼¥É¥Ð¥Ã¥¯À©¸æ¡×¤È¡Ö¿¶Æ°Ää»ß¸½¾Ý¡×¤Ë¾ÇÅÀ¤ò¹Ê¤ë¡¥

An2-2-2 (»þ´Ö: 11:20 - 11:45)
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Pagepp. 239 - 243
Keyword ·ë¹çȯ¿¶´ï, ȯ¿¶Ää»ß, ¥Õ¥é¥¹¥È¥ì¡¼¥·¥ç¥ó
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¥»¥Ã¥·¥ç¥ó An2-3 ³Ø½¬¤ÈºÇŬ²½
Æü»þ: 2014ǯ8·î5Æü(²Ð) 13:30-14:45
Éô²°: 301A¼¼
ºÂĹ: ¿ÀÈø Éð»Ê (¹­Åç»ÔΩÂç³Ø¾ðÊó²Ê³Ø¸¦µæ²Ê)

An2-3-1 (»þ´Ö: 13:30 - 13:55)
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Pagepp. 244 - 249
Keyword Ǿ·¿¥³¥ó¥Ô¥å¡¼¥¿, SAM, ¥Ñ¥ë¥¹¥Ë¥å¡¼¥í¥ó, ¸í¤êÄûÀµ³Ø½¬, HDLÀß·×
AbstractËܸ¦µæ¤Ç¤Ï¡¤¼«Î§·¿¥í¥Ü¥Ã¥È¤ÎÃÎǽ¥â¥Ç¥ë¤òÌܻؤ·¤Æ¡¤½Å¾¾¡¤¾¾Ëܤé¤ÎÄ󰯤·¤¿Ç¾·¿¥³¥ó¥Ô¥å¡¼¥¿¤Î¸¶Íý¥â¥Ç¥ë¤Ç¤¢¤ëSAM¥Ë¥å¡¼¥í¥ó¥â¥Ç¥ë¤Ë´Ø¤¹¤ë¸í¤êÄûÀµ³Ø½¬¡Ê¸íº¹µÕÅÁÈÂË¡¤ÈƱÍͤʹͤ¨Êý¤Î³Ø½¬¡Ë¤òƳ¤¤¤¿¡¥·×»»µ¡¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤ÈVerilogHDL¤Ë¤è¤ëÀ߷׸å¤Îµ¡Ç½¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤È¤Ë¤è¤ê¡¤ANDÏÀÍý¤Î³Ø½¬¤¬Àµ¤·¤¯¹Ô¤ï¤ì¤ë¤³¤È¤ò¼¨¤·¤¿¡¥ Ƴ¤¤¤¿³Ø½¬¼°¤Ë¤Ï¡¤½Å¾¾¤é¤Î½ÐÎϰ͸³Ø½¬Â§¤ÈƱÍÍ¤ÎÆþÎÏÍúÎòÃÍHij¤¬¸½¤ì¤¿¡¥¤Þ¤¿¡¤HDL¤è¤ëÀ߷פǤϡ¤¾è»»´ï¤¬ÉÔÍפʤ¿¤á¡¤SAM¥Ë¥å¡¼¥í¥óÁÇ»Ò1¤Ä¤Î²óÏ©µ¬ÌϤϾ®¤µ¤¯¡¤¤ï¤º¤«30¥í¥¸¥Ã¥¯¥»¥ë¤Ç¼Â¸½¤Ç¤­¤¿¡¥

An2-3-2 (»þ´Ö: 13:55 - 14:20)
Âê̾¼«Î©¿´¤ò»ý¤ÄFirefly Algorithm
Ãø¼Ô ¡û¾¾²¼ ½ÕÆà (¹áÀîÂç³Ø)
Pagepp. 250 - 253
Keyword Firefly¥¢¥ë¥´¥ê¥º¥à (FA), ·²ÃÎǽ, γ»Ò·²ºÇŬ²½ (PSO)
AbstractËܸ¦µæ¤Ç¤Ï¡¢¼«Î©¿´¤ò»ý¤ÄFirefly¥¢¥ë¥´¥ê¥º¥à (Independent-minded Firefly Algorithm: IFA) ¤òÄ󰯤¹¤ë¡£ FA¤Ë¤ª¤¤¤Æ²ò¥¨¡¼¥¸¥§¥ó¥È¤Ï¥Û¥¿¥ë¤È¸Æ¤Ð¤ì¤ë¡£ ɸ½àFA¤Ë¤ª¤¤¤Æ¤Ï¡¢³Æ¥Û¥¿¥ë¤ÎÌ¥ÎϤζ¯¤µ¤Ï¤½¤ì¤¾¤ì¤Î¸÷¶¯ÅÙ¤ËÈæÎ㤹¤ë¤¿¤á¡¢ °Û¤Ê¤ë¸÷¶¯ÅÙ¤ò»ý¤Ä2ɤ¤Î¥Û¥¿¥ë¤Ç¤Ï¡¢¸÷¶¯Å٤μ夤¥Û¥¿¥ë¤¬¤â¤¦°ìÊý¤ÎÌÀ¤ë¤¤¥Û¥¿¥ë¤ØÉ¬¤º°ú¤­´ó¤»¤é¤ì¤ë¡£ °ìÊý¡¢Ä󰯤¹¤ëIFA¤Î³Æ¥Û¥¿¥ë¤¬¼«Î©¿´¤ò»ý¤Ã¤Æ¤ª¤ê¡¢ ³Æ¥Û¥¿¥ë¤¬¼«¿È¤è¤ê¤âÌÀ¤ë¤¤¥Û¥¿¥ë¤Ë°ú¤­´ó¤»¤é¤ì¤ë¤«¤É¤¦¤«¤Ï³ÎΨŪ¤Ë·èÄꤵ¤ì¤ë¡£ ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ç¤Ï¡¢IFA¤òÍÍ¡¹¤Ê¥Ù¥ó¥Á¥Þ¡¼¥¯ÌäÂê¤ØÅ¬ÍѤ¹¤ë¡£ ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó·ë²Ì¤ò¡¢É¸½àFAµÚ¤Óγ»Ò·²ºÇŬ²½ (PSO) ¤ÈÈæ³Ó¤¹¤ë¤³¤È¤Ç¡¢ IFA¤¬PSO¤Î¤ß¤Ê¤é¤º¡¢É¸½àFA¤Î·ë²Ì¤òÂ礭¤¯²þÁ±¤¹¤ë¤³¤È¤ò³Îǧ¤¹¤ë¡£

An2-3-3 (»þ´Ö: 14:20 - 14:45)
Âê̾A Packet Routing Method based on Chaotic Neural Networks for Complex Networks
Ãø¼Ô ¡ýKeisuke Kimura, Takayuki Kimura, Kenya Jin'no (Nippon Institute of Technology)
Pagepp. 254 - 259
Keyword Neural Networks, Packet Routing, Complex Network, Chaos Neural Networks
AbstractIn this paper, we propose the packet routing method based on the mutually connected transient chaotic neural networks. The proposed routing method based on the mutually connected transient chaotic neural networks is compared with the one based on the Hopfield and Tank type mutually connected neural networks by the regular networks and the scale-free networks in this paper. From the results of the numerical simulations, the packet routing method based on the mutually connected transient chaotic neural networks shows better performance for the scale-free networks.


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Æü»þ: 2014ǯ8·î5Æü(²Ð) 15:00-16:15
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An2-4-1 (»þ´Ö: 15:00 - 15:25)
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Pagepp. 260 - 264
Keyword ÃÐĥȯ¿¶´ï, ¼þ´ü³°ÎÏ, ¤·¤­¤¤ÃÍ
AbstractËܹƤǤϡ¤Æ±´ü¸½¾Ý¤Î²òÀϤΤ¿¤á¥Ò¥¹¥Æ¥ê¥·¥¹ÁǻҤòÍ­¤¹¤ëÃÐĥȯ¿¶´ï¤Î²òÀϤò¹Ô¤¦¡¥¤³¤ÎÃÐĥȯ¿¶´ï¤Ï¥Ò¥È¤Î¿ç̲-³ÐÀÃ¥â¥Ç¥ë¤Ë´ð¤Å¤¤¤Æ¤¤¤ë¡¥¤³¤Î¤è¤¦¤Ê¥Ò¥¹¥Æ¥ê¥·¥¹ÁǻҤòÍ­¤¹¤ëÃÐĥȯ¿¶´ï¤Ë¤Ä¤¤¤Æ¶ë·ÁÇȳ°ÎϤǤ·¤­¤¤Ãͤ¬¶îư¤µ¤ì¤ë¥â¥Ç¥ë¤ÎưÆÃÀ­¤Î¸¡Æ¤¤ò¹Ô¤Ã¤¿¡¥º£²ó¡¤Èæ³ÓŪĹ¼þ´ü¤Î³°ÎϤò°õ²Ã¤·¤¿ºÝ¤Ë°ÂÄꤷ¤¿¼þ´ü²ò¤¬ÆÀ¤é¤ì¤ë¤³¤È¤ò³Îǧ¤·¤¿¡£¤Þ¤¿¡¢ÃÐĥȯ¿¶´ï¤Î¸µ¤Î¤·¤­¤¤ÃͤÎÂ礭¤µ¤Ç¸½¾Ý¤¬°Û¤Ê¤ë¤³¤È¤ò³Îǧ¤·¤¿¡£

An2-4-2 (»þ´Ö: 15:25 - 15:50)
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Pagepp. 265 - 269
Keyword ¿¿À­Ç´¶Ý, »þ·ÏÎó²òÀÏ, ¿¶Æ°
AbstractËܸ¦µæ¤Ç¤ÏÊÑ·ÁÂΤò¾®¤µ¤ÊÊ£¿ô¤Î±ßÎΰ褬ºÙ¤¤·ÐÏ©¤Ç³Ê»Ò¾õ¤Ë·ë¤Ð¤ì¤¿¹½Â¤¤ò¥Ñ¥¿¡¼¥ó²½¤·¤¿Á¿åÀ­ºàÎÁÆâ¤ËÀßÃÖ¤·¤Æ,¿¶Æ°¥Ç¡¼¥¿¤ò¼Â¸³¤Ç¼èÆÀ¤·¤Æ²òÀϤ¹¤ë. ¼ÂºÝ¤Ë¼Â¸³¤ÇÆÀ¤é¤ì¤¿¿¶Æ°¥Ç¡¼¥¿¤Ë´ðËÜŪ¤ÊÈóÀþ·Á»þ·ÏÎó²òÀϼêË¡¤òŬÍѤ·¤Æ, ¤½¤Î¥À¥¤¥Ê¥ß¥¯¥¹¤ò¿ä¬¤¹¤ë¤³¤È¤ò»î¤ß¤ë. ¼Â¥Ç¡¼¥¿¤Ë°Üưʿ¶Ñ½èÍý¤ò¹Ô¤¤»¨²»¤ò½üµî¤·¤Æ»þ·ÏÎó¥Ç¡¼¥¿¤ÎËä¤á¹þ¤ß¤ò¹Ô¤¤, ¥ê¥«¥ì¥ó¥¹¥×¥í¥Ã¥È¤òÉÁ¤¤¤Æ¿¶Æ°¥Ç¡¼¥¿¤ÎÈó¼þ´üÀ­¤òɾ²Á¤¹¤ë. ¤Þ¤¿, Áê´ØÀÑʬ¤òÄêÎÌŪ¤Ëµá¤á¤ë.

An2-4-3 (»þ´Ö: 15:50 - 16:15)
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Pagepp. 270 - 275
Keyword ¿¶Æ°»Ò, Ʊ´ü¸½¾Ý, ȯ¿¶´ï, °ÌÁê½ÌÌóË¡, °ú¤­¹þ¤ß
Abstract²æ¡¹¤ÏÀè¹Ô¸¦µæ¤Ë¤ª¤¤¤Æ¡¤¤³¤ì¤Þ¤Ç¿¶Æ°»Ò¤ÎÍýÏÀŪ¤Ê²òÀϤˤª¤¤¤Æ½ÅÍפÊÌò³ä¤ò±é¤¸¤Æ¤­¤¿°ÌÁê¥â¥Ç¥ë¤ò³ÈÄ¥¤·¡¤¶¯¤¤ÆþÎϤËÂФ·¤Æ¤â´è·ò¤Ê°ìÈ̲½°ÌÁê¥â¥Ç¥ë¤òÄ󰯤·¤¿¡¥ËܹƤǤϡ¤°ìÈ̲½°ÌÁê¥â¥Ç¥ë¤ò¹©³Ø±þÍѤˤª¤±¤ëÍøÊØÀ­¤ò¹Íθ¤·¤Æ´Êά²½¤·¤¿¡¤Æó¼¡¤Î°ÌÁê¥â¥Ç¥ë¤òÄ󰯤¹¤ë¡¥¤³¤Î¥â¥Ç¥ë¤Ï´¶¼õ´Ø¿ô¤Î¹â®·×»»¤¬²Äǽ¤Ç¤¢¤ë¤È¤¤¤¦ÍøÅÀ¤¬¤¢¤ë¡¥ËܹƤǤϡ¤Æó¼¡¤Î°ÌÁê¥â¥Ç¥ë¤òƳ½Ð¤·¡¤´¶¼õ´Ø¿ô¤Î¿ôÃÍ·×»»Ë¡¤òÄ󰯤¹¤ë¡¥


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Ba2-1-1 (»þ´Ö: 9:15 - 9:40)
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Pagepp. 276 - 281
Keyword Ê£ÁÇ¥Õ¥£¥ë¥¿, °äÅÁŪ¥¢¥ë¥´¥ê¥º¥à, ¼«Æ°¹çÀ®, HSPICE
Abstract½¸ÀѲóÏ©¤Î²óÏ©µ¬ÌϤÏÁýÂ礷¡¢³«È¯²áÄø¤ÏÊ£»¨²½¤¹¤ë·¹¸þ¤Ë¤¢¤ë¡£ ¤µ¤é¤Ë¡¢²óÏ©À߷פˤÏÃμ±¤È·Ð¸³¤¬É¬ÍפǤ¢¤êµ»½Ñ¼Ô¤Î°éÀ®¤Ë¤Ï»þ´Ö¤¬É¬ÍפǤ¢¤ë¡£¤½¤³¤Ç¸½ºß¤Ç¤Ï¡¢Ã»´ü´Ö¤Ç¤Î²óÏ©À߷פò¼Â¸½¤¹¤ë¤¿¤á¥³¥ó¥Ô¥å¡¼¥¿¤Ë¤è¤ë²óÏ©À߷פμ«Æ°²½¤ËÃíÌܤ¬½¸¤Þ¤Ã¤Æ¤¤¤ë¡£ ¤·¤«¤·¡¢¥¢¥Ê¥í¥°²óÏ©¤Î¼«Æ°À߷פϹÍθ¤¹¤ë¥Ñ¥é¥á¡¼¥¿¤Î¿ô¤¬Â¿¤¤¤³¤È¤«¤é¡¢Ì¤¤À¤Ë³ÎΩ¤Ë»ê¤ë¼êË¡¤¬Ä󰯤µ¤ì¤Æ¤¤¤Ê¤¤¡£¤½¤Î¤¿¤á¡¢½¸ÀѲóÏ©Àß·×Á´ÂΤˤª¤±¤ëÀß·×»þ´Ö¤ÎÂçÉôʬ¤òÀê¤á¤Æ¤¤¤ë¡£ËÜÏÀʸ¤Ç¤ÏRC¥Ý¥ê¥Õ¥§¡¼¥º¥Õ¥£¥ë¥¿¤ÎÆÃÀ­¤ò¼Â¸½¤¹¤ëÊ£ÁÇ¥Õ¥£¥ë¥¿¤ò¼«Æ°¹çÀ®¤¹¤ë¥×¥í¥°¥é¥à¤òºîÀ®¤·¤¿¡£RC¥Ý¥ê¥Õ¥§¡¼¥º¥Õ¥£¥ë¥¿¤Ï̵ÀþÁ÷¼õ¿®´ï¥¢¥Ê¥í¥°¡¦¥Õ¥í¥ó¥È¥¨¥ó¥ÉÉô¤Î½ÅÍפʲóÏ©¤Ç¤¢¤ê¡¢¼«Æ°À߷פ¹¤ë¤³¤È¤Ç³«È¯´ü´Ö¤Îû½Ì¤ä¥³¥¹¥Èºï¸º¤Ë¤Ä¤Ê¤¬¤ë¡£

Ba2-1-2 (»þ´Ö: 9:40 - 10:05)
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Keyword MOS¥¢¥Ê¥í¥°½¸ÀѲóÏ©, Äã¼þÇÈ¥¢¥Ê¥í¥°²óÏ©, ¥¹¥±¡¼¥ê¥ó¥°¥­¥ã¥Ñ¥·¥¿²óÏ©
Abstract¥¤¥ó¥Ô¡¼¥À¥ó¥¹¥¹¥±¡¼¥ê¥ó¥°¤Ï¡¢À¸ÂΰåÍѵ¡´ï¤ËÍѤ¤¤ë¤è¤¦¤ÊÄã¼þÇÈ¥¢¥Ê¥í¥°½¸ÀѲóÏ©¾å¤Î¥­¥ã¥Ñ¥·¥¿ÌÌÀѤòÄ㸺¤µ¤»¤ëÊýË¡¤È¤·¤ÆÃΤé¤ì¤Æ¤¤¤ë¡£Ãø¼Ô¤é¤Ï¡¢¤³¤ì¤Þ¤Ç¤Ë¥Õ¥í¡¼¥Æ¥£¥ó¥°·¿¤Î¥¤¥ó¥Ô¡¼¥À¥ó¥¹¥¹¥±¡¼¥ê¥ó¥°²óÏ©¤òÄ󰯤·¤Æ¤¤¤ë¡£½¾Íè¤Î¥Õ¥í¡¼¥Æ¥£¥ó¥°·¿²óÏ©¤Ç¤Ï¡¢²óÏ©¤Îξü¤ËÅÅήÉéµ¢´Ô¤ò¹Ô¤¦É¬Í×À­¤«¤é¡¢ÅÅή¤òÀÞ¤êÊÖ¤·¤¿¤¿¤á¤Ë²óÏ©¹½À®¤¬ÈóÂоΤʤâ¤Î¤Ë¤Ê¤Ã¤Æ¤¤¤¿¡£ËܹƤǤϡ¢²óÏ©¹½À®¤¬ÂÐ¾Î¤Ê¥Õ¥í¡¼¥Æ¥£¥ó¥°¥¤¥ó¥Ô¡¼¥À¥ó¥¹¥¹¥±¡¼¥ê¥ó¥°²óÏ©¤òÄ󰯤¹¤ë¡£¥¹¥±¡¼¥ê¥ó¥°²óÏ©¤Ë¤è¤ê10pF¤Î¥­¥ã¥Ñ¥·¥¿¤ÎÍÆÎ̤ò¸«¤«¤±¾å500pF¤Ë¤·¤¿¡£¤½¤Î±þÍѤȤ·¤ÆÊ¿¹Õ·¿Ç½Æ°¥Õ¥£¥ë¥¿¤Ø¤ÎƳÆþ¤ò¹Ô¤Ã¤¿¡£¤Þ¤¿Ä󰯲óÏ©¤ÎÆÃÀ­¤ò¤Ä¤¤¤Æ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤òÍѤ¤¤Æ¸¡¾Ú¤·¤¿¡£

Ba2-1-3 (»þ´Ö: 10:05 - 10:30)
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Ãø¼Ô ¡û¥Ë¥³¥Ç¥à¥¹ ¥ì¥Ç¥£¥¢¥ó (¿ÀÆàÀîÂç³Ø), ·¨Éô ÂçÃÏ, ¹âÌÚ Ìй§ (Åìµþ¹©¶ÈÂç³Ø), Åç ·ò (¿ÀÆàÀîÂç³Ø)
Pagepp. 288 - 293
Keyword ¥¹¥¤¥Ã¥Á¥È¥­¥ã¥Ñ¥·¥¿, ÅÅήÀÑʬ²óÏ©, Áê´ØÆó½Å¥µ¥ó¥×¥ê¥ó¥°
AbstractSCÅÅήÀÑʬ²óÏ©¤ËÁê´ØÆó½Å¥µ¥ó¥×¥ê¥ó¥°¼êË¡¤òŬÍѤ¹¤ëºÝ¡¤±é»»ÁýÉý´ï¤ÎÍ­¸ÂÍøÆÀÂÓ°èÉýÀÑ¤ÈÆþÎÏü»Ò¤ËÉտ魯¤ë´óÀ¸ÍÆÎ̤ˤè¤Ã¤Æ»¨²»Ä㸺À­Ç½¤¬Îô²½¤·¤Æ¤·¤Þ¤¦¤³¤È¤¬Ê¬¤«¤Ã¤Æ¤¤¤ë¡¥Àè¹Ô¸¦µæ¤Ç¤Ï´óÀ¸ÍÆÎ̤¬Â礭¤¤¤±¤ì¤ÐÂ礭¤¤¤Û¤É½ÐÎÏ»¨²»¤¬Áý²Ã¤¹¤ë¤³¤È¤¬Ê¬¤«¤Ã¤¿¡¥´óÀ¸ÍÆÎ̤αƶÁ¤ò·Ú¸º¤¹¤ëSCÅÅήÀÑʬ²óÏ©¡¤°Ê¹ß´û¸²óÏ©¤È¸Æ¤Ö¡¤¤¬Ä󰯤µ¤ì¤Æ¤¤¤ë¤¬¡¤½½Ê¬¤Ê²òÀϤ¬¤Ê¤µ¤ì¤Æ¤ª¤é¤º¡¤ÌÀ³Î¤ÊÀ߷׻ؿˤ¬Ìµ¤¤¡¥ËÜÏÀʸ¤Ç¤Ï´û¸SCÅÅήÀÑʬ²óÏ©¤Ë¤ª¤±¤ë»¨²»Á껦¥á¥«¥Ë¥º¥à¤ò²òÀϤ·¡¤²óÏ©¤¬°ÂÄê¤Ëưºî¤¹¤ë¤¿¤á¤Î¾ò·ï¤òƳ½Ð¤¹¤ë¤È¤È¤â¤Ë¡¤¼ÂÍÑŪ¤ÊÀ߷׻ؿˤò¼¨¤¹¡¥


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Ba2-2-1 (»þ´Ö: 10:45 - 11:10)
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Pagepp. 294 - 299
Keyword ¹â®¥¤¥ó¥¿¥Õ¥§¡¼¥¹
AbstractËܹƤǤϡ¢ÈùºÙ²½¡¦ÄãÅ۵²½¤µ¤ì¤¿½¸ÀѲóÏ©¥·¥¹¥Æ¥à¤Ë¤ª¤±¤ë¹â®¿®¹æÅÁÁ÷¤òÌÜŪ¤È¤·¤Æ¡¢¥Ç¡¼¥¿¤òɽ¸½¤¹¤ë¥Ñ¥ë¥¹°ÌÃÖ¤ò»þ´ÖŪ¤Ë¥·¥Õ¥È¤µ¤»¤ë¥Ñ¥ë¥¹°ÌÃÖ(Éý)ÊÑÄ´(PPM: Pulse Position Modulation)Êý¼°¤È¿Ã;ðÊóɽ¸½¤ËÃåÌܤ·¡¢¾ðÊó¤ò»þ´ÖÎΰè¤È¿¶ÉýÎΰè¤Î2¼¡¸µ¤Çɽ¸½¤·ÅÁÁ÷¤¹¤ë¹â¸úΨ¿®¹æÅÁÁ÷Êý¼°¤ò¿·¤¿¤ËÄ󰯤¹¤ë¡£ 8Ã;ðÊó¤ò»þ´ÖÎΰè¤È¿¶ÉýÎΰè¤Ë¤½¤ì¤¾¤ìŸ³«¤¹¤ë¤³¤È¤Ë¤è¤ê¡¢½¾Íè¤ÎPPMÊý¼°¤ÈÈæ³Ó¤·¡¢»þ´Ö¾ðÊ󸡽вóÏ©¤Î»þ´Öʬ²òǽÀºÅÙÍ×·ï¤ò´ËϲÄǽ¤È¤Ê¤ë¤³¤È¤ò²óÏ©¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤êÌÀ¤é¤«¤Ë¤¹¤ë¡£

Ba2-2-2 (»þ´Ö: 11:10 - 11:35)
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Pagepp. 300 - 305
Keyword AD¥³¥ó¥Ð¡¼¥¿, »þ´Öʬ²òǽ·¿, ĶÄãÅÅÎÏ
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Pagepp. 351 - 356
Keyword ¥¢¥¯¥Æ¥£¥Ö¥Î¥¤¥º¥³¥ó¥È¥í¡¼¥ë, ¥Î¥¤¥º¥­¥ã¥ó¥»¥ê¥ó¥°¥Ø¥Ã¥É¥Û¥ó, Áû²»À©¸æ, Ŭ±þ¿®¹æ½èÍý
AbstractËֱܹé¤Ç¤Ï¶áǯ°ìÈ̤ËÉáµÚ¤·¤Æ¤¤¤ë¥Î¥¤¥º¥­¥ã¥ó¥»¥ê¥ó¥°¥Ø¥Ã¥É¥Û¥ó ¤Ë¤Ä¤¤¤Æ¤½¤Î¸¶Íý¤ÈºÇ¶á¤Îư¸þ¤Ë¤Ä¤¤¤Æ¾Ò²ð¤¹¤ë¡£¥Î¥¤¥º¥­¥ã¥ó¥»¥ê¥ó¥°¥Ø¥Ã¥É ¥Û¥ó¤Ç¼þ°Ï¤ÎÁû²»¤òÄ㸺¤Ç¤­¤ë¤Î¤Ï¥¢¥¯¥Æ¥£¥Ö¥Î¥¤¥º¥³¥ó¥È¥í¡¼¥ë¤¬¼ÂÁõ¤µ¤ì¤Æ ¤¤¤ë¤«¤é¤Ç¤¢¤ë¡£¥¢¥¯¥Æ¥£¥Ö¥Î¥¤¥º¥³¥ó¥È¥í¡¼¥ë¤ÏÉÔÍפÊÁû²»¤ËÂФ·¤ÆÆ±¿¶Éý¡¦ µÕ°ÌÁê¤Î²»¤ò¥¹¥Ô¡¼¥«¤Ê¤É¤«¤éÊü¼Í¤¹¤ë¤³¤È¤ÇÁû²»¤ò²»¶ÁŪ¤Ë¥­¥ã¥ó¥»¥ëµ»½Ñ¤Ç ¤¢¤ë¡£¥¢¥¯¥Æ¥£¥Ö¥Î¥¤¥º¥³¥ó¥È¥í¡¼¥ë¤Î¸¶Íý¤Ï¤³¤Î¤è¤¦¤ËÈó¾ï¤Ë¥·¥ó¥×¥ë¤Ç¤¢¤ë ¤â¤Î¤Î¡¢¤½¤Î±þÍѤˤª¤¤¤Æ¤Ï¤µ¤Þ¤¶¤Þ¤Ê¥Î¥¦¥Ï¥¦¤ä¹îÉþ¤¹¤Ù¤­²ÝÂ꤬¤¢¤ë¡£¤½¤³ ¤ÇËֱܹé¤Ç¤Ï¥¢¥¯¥Æ¥£¥Ö¥Î¥¤¥º¥³¥ó¥È¥í¡¼¥ë¤Î¸¶Íý¤ò¾Ò²ð¤¹¤ë¤È¤È¤â¤ËºÇ¶á¤Î¸¦ µæÆ°¸þ¡¢¤µ¤é¤Ë¤Ï¹îÉþ¤¹¤Ù¤­²ÝÂê¤Ë¤Ä¤¤¤Æ¾Ò²ð¤¹¤ë¡£


¥»¥Ã¥·¥ç¥ó Bd2-3 ²»À¼¡¦²»¶Á¿®¹æ½èÍýII
Æü»þ: 2014ǯ8·î5Æü(²Ð) 13:30-14:50
Éô²°: 311A¼¼
ºÂĹ: Ááºä ¾º (ÂçºåÅŵ¤ÄÌ¿®Âç³Ø)

Bd2-3-1 (»þ´Ö: 13:30 - 13:50)
Âê̾¥­¥ã¥ê¥¢ÇȤȦÂÓÇȤÎʬΥÊü¼Í¤Ë¤ª¤±¤ë¥Ñ¥é¥Ü¥éÈ¿¼Í·¿¥ª¡¼¥Ç¥£¥ª¥¹¥Ý¥Ã¥È·ÁÀ®¤Ë¤è¤ë²»°µ²þÁ±
Ãø¼Ô ¡ý¾®ÊÕ Î¼²ð, ¾¾°æ Í£, À¸Æ£ Âçŵ (Ω̿´ÛÂç³ØÂç³Ø±¡ ¾ðÊóÍý¹©³Ø¸¦µæ²Ê), Ãæ»³ ²í¿Í, À¾±º ·É¿® (Ω̿´ÛÂç³Ø ¾ðÊóÍý¹©³ØÉô)
Pagepp. 357 - 362
Keyword ¥Ñ¥é¥á¥È¥ê¥Ã¥¯¥¹¥Ô¡¼¥«, ¥­¥ã¥ê¥¢ÇÈ, ¦ÂÓÇÈ, ʬΥÊü¼Í, ¥Ñ¥é¥Ü¥é·¿¥ê¥Õ¥ì¥¯¥¿
Abstract¥Ñ¥é¥á¥È¥ê¥Ã¥¯¥¹¥Ô¡¼¥«¤Ï¹â¤¤»Ø¸þÀ­¤ò¼Â¸½¤Ç¤­¤ë¤¬¡¤²»ÇȤÎÊü¼ÍÊý¸þ¤È½Å¤Ê¤ë°ÌÃ֤˲Äݲ»¤òɬÍפȤ·¤Ê¤¤¿Íʪ¤¬¤¤¤¿¾ì¹ç¡¤ÉÔ²÷´¶¤òÍ¿¤¨¤ë²ÄǽÀ­¤¬¤¢¤Ã¤¿¡¥¤³¤ÎÌäÂê¤ò²ò·è¤¹¤ë¤¿¤á¡¤¿¶ÉýÊÑÄ´ÇȤò¥­¥ã¥ê¥¢ÇȤȦÂÓÇȤËʬΥ¤·¤ÆÊü¼Í¤·¡¤¥­¥ã¥ê¥¢ÇȤȦÂÓÇȤθòº¹Îΰè¤Ë¤Î¤ß¥ª¡¼¥Ç¥£¥ª¥¹¥Ý¥Ã¥È¤ò·ÁÀ®¤¹¤ë¼êË¡¤¬Ä󰯤µ¤ì¤Æ¤¤¤ë¡¥¤·¤«¤·¤Ê¤¬¤é¡¤¤³¤Î¼êË¡¤Ç¤Ï¡¤²Äݲ»¤¬ÉüÄ´¤¹¤ëÎΰ褬¶¹¤¤¤¿¤á¡¤½¾Íè¤Î¥Ñ¥é¥á¥È¥ê¥Ã¥¯¥¹¥Ô¡¼¥«1Âæ¤«¤é¿¶ÉýÊÑÄ´ÇȤòÊü¼Í¤¹¤ë¼êË¡¤ËÈæ¤Ù¡¤ÉüÄ´²»¤Î²»°µ¤¬¾®¤µ¤¤¤È¤¤¤¦ÌäÂ꤬¤¢¤ë¡¥¤½¤³¤ÇËܹƤǤϡ¤¥Ñ¥é¥Ü¥é·¿¥ê¥Õ¥ì¥¯¥¿¤ò»ÈÍѤ·¡¤Êü¼Í¤µ¤ì¤¿¥­¥ã¥ê¥¢ÇȤȦÂÓÇȤò¸òº¹Îΰè¤Ë½¸²»¤¹¤ë¤³¤È¤Ç²»°µ¤ò²þÁ±¤µ¤»¤ë¼êË¡¤òÄ󰯤¹¤ë¡¥

Bd2-3-2 (»þ´Ö: 13:50 - 14:10)
Âê̾ȿÉü¸ÇÍ­ÃͲòÀϤ˴ð¤Å¤¯¥µ¥Ö¥¹¥Ú¡¼¥¹·¿¥¹¥Ú¥¯¥È¥ë¥µ¥Ö¥È¥é¥¯¥·¥ç¥ó¤Î¸¡Æ¤
Ãø¼Ô ¡ýĹÌî Í¥µ®, Ê¡¿¹ δ´² (Ω̿´ÛÂç³ØÂç³Ø±¡¾ðÊóÍý¹©³Ø¸¦µæ²Ê), Ãæ»³ ²í¿Í, À¾±º ·É¿® (Ω̿´ÛÂç³Ø¾ðÊóÍý¹©³ØÉô)
Pagepp. 363 - 368
Keyword Spectral Subtraction, ¸ÇÍ­ÃͲòÀÏ, »¨²»ÍÞ°µ
AbstractËܹƤǤϡ¤Æ±°ì¤Î´Ñ¬²»À¼¤ËÂФ·¤ÆÊ£¿ô¤Î°Û¤Ê¤ë»¨²»¿äÄê¾ò·ï¤òÍѤ¤¤¿F-SS(Flooring processing-improved Spectral Subtraction)¤Ë¤è¤ê¡¤Ê£¿ô¤Î¿äÄê²»À¼¤ò¼èÆÀ¤·¡¤¤½¤Î°ìÅ٤νèÍý¤´¤È¤Ë¸ÇÍ­ÃͲòÀϤò¹Ô¤¦¤³¤È¤Ç¡¤¿äÄꤷ¤¿²»À¼¤Î¤µ¤é¤Ê¤ëÏĤßÄ㸺¤¹¤ë¥µ¥Ö¥¹¥Ú¡¼¥¹·¿¥¹¥Ú¥¯¥È¥ë¥µ¥Ö¥È¥é¥¯¥·¥ç¥ó(S-SS: Subspace-based Spectral Subtraction)¤òÄ󰯤¹¤ë¡¥¶ñÂÎŪ¤Ë¤Ï¡¤¸ÇÍ­ÃͲòÀϤˤè¤êÃê½Ð¤·¤¿¿äÄê²»À¼¤ò´Ñ¬²»À¼¤È¤·¤Æ¡¤È¿ÉüŪ¤Ë»¨²»ÍÞ°µ½èÍý¤È¸ÇÍ­ÃͲòÀϤò¹Ô¤¦¡¥ºÇ¸å¤Ë¡¤µÒ´Ñɾ²Á¼Â¸³¤ò¹Ô¤¦¤³¤È¤Ë¤è¤ê¡¤ËÜÄ󰯼êË¡¤ÎÍ­¸úÀ­¤òɾ²Á¤¹¤ë¡¥

Bd2-3-3 (»þ´Ö: 14:10 - 14:30)
Âê̾¸ýÅ«±éÁÕ»Ù±ç¤Î¤¿¤á¤Î²»¿§É¾²Á´ð½à¤Ë´Ø¤¹¤ë¸¡Æ¤
Ãø¼Ô ¡ýÏÂÅÄ çýÅÔ²Ã, Àî¼ ¿·, ÈÓÔ¢ ÍÎÆó (ÂçºåÂç³ØÂç³Ø±¡´ðÁù©³Ø¸¦µæ²Ê)
Pagepp. 369 - 374
Keyword ¸ýÅ«, ²»¿§, ÈþŪ°ø»Ò
Abstract¸ýÅ«¤ò³Ú´ï¤È¤·¤Æ°·¤¦¿Í¡¹¤ò¸ýÅ«ÁռԤȸƤ֡¥Ëܸ¦µæ¤Ç¤Ï¡¤¸ýÅ«ÁÕ¼Ô¤ËÂФ¹¤ë±éÁջٱ祷¥¹¥Æ¥à¤Î¹½ÃÛ¤òÌÜɸ¤È¤¹¤ë¡¥¤½¤ÎºÇ½é¤ÎÃʳ¬¤È¤·¤Æ¡¤ËÜÏÀʸ¤Ç¤Ï¡¤¸ýÅ«¤Î²»¿§¤òɾ²Á¤¹¤ë¤¿¤á¤Î´ð½à¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤·¤¿¤Î¤Ç¡¤¤½¤Î·ë²Ì¤Ë¤Ä¤¤¤ÆÊó¹ð¤¹¤ë¡¥ºÇ½é¤Ë½é¿´¼Ô¤È½ÏÎý¼Ô¤Î¸ýÅ«±éÁÕ²»¤ò²òÀϤ·¡¤Èæ³Ó¤¹¤ë¡¥¤½¤Î·ë²Ì¤«¤é¸ýÅ«¤Î²»¿§É¾²Á¤Ë¤Ï²»¿§É½¸½¸ì¤ÎÃæ¤Ç¤âÈþŪ°ø»Ò¤ËʬÎव¤ì¤ë¤â¤Î¤òÍѤ¤¤ë¡¥ÈþŪ°ø»Ò¤ÎÃæ¤«¤é¡ÖÀ¡¤ó¤À¡×¤Ê¤É3¤Ä¤Î²»¿§É½¸½¸ì¤òÁªÂò¤·¡¤¸ýÅ«¤Î²»¿§¤ÎÈþŪ°ø»Ò¤ò´¶¤¸¤ëµÒ´ÑŪ¤Ê´ð½à¤òÄê¤á¤ë¤¿¤á¤Ë»îݼ¸³¤ò¹Ô¤¦¡¥¼Â¸³¤Î·ë²Ì¤è¤ê¡¤É¾²Á´ð½à¤ò·èÄꤷ¡¤±éÁÕ²»¤Î¿¶Éý¤òµá¤á¤ë¤³¤È¤¬¤Ç¤­¤ì¤Ð¡¤¸ýÅ«¤Î²»¿§É¾²Á¤¬²Äǽ¤Ç¤¢¤ë¤³¤È¤ò¼¨¤¹¡¥

Bd2-3-4 (»þ´Ö: 14:30 - 14:50)
Âê̾A Two-microphone Adaptive Null Beamformer Based on Speech Suppression for Handsfree Driving Devices
Ãø¼Ô ¡ýYuya Honda, Arata Kawamura, Youji Iiguni (Graduate School of Engineering Science, Osaka University)
Pagepp. 375 - 380
Keyword Noise suppression, Null beamformer, Crosstalk, Speech suppression
AbstractA two-microphone adaptive null beamformer (ANBF) is useful for noise reduction in car environment. It is well known that the capability of the ANBF is degraded when a desired speech signal is observed at both microphones simultaneously. Such a situation is called as crosstalk. This paper proposes an ANBF robust for the crosstalk. The proposed method employs two speech suppressors for beamforming and one noise suppressor for a post-filtering. The proposed method can effectively reduce both of directional noise and diffuse noise. Simulation results show that the proposed method archives more than 7dB of segmental SNR and 1.2 point of the PESQ for a real car environmental noise.


¥»¥Ã¥·¥ç¥ó Bd2-4 ²èÁü½èÍý
Æü»þ: 2014ǯ8·î5Æü(²Ð) 15:05-16:25
Éô²°: 311A¼¼
ºÂĹ: Æ£ÅÄ ¸¼ (ÂçºåÅŵ¤ÄÌ¿®Âç³Ø)

Bd2-4-1 (»þ´Ö: 15:05 - 15:25)
Âê̾Áê´Ø¾ðÊó¤Ë´ð¤Å¤¯¥¹¥Ñ¡¼¥¹²èÁüÅÅ»ÒÆ©¤«¤·Ë¡
Ãø¼Ô ¡ý»°¾å ¹ÉÊ¿ (¹­ÅçÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê), ÃæËÜ ¾»Í³ (¹­ÅçÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ±¡), Åï°Â ¼Â¼£ (´ØÀ¾Âç³Ø¥·¥¹¥Æ¥àÍý¹©³ØÉô)
Pagepp. 381 - 386
Keyword ²èÁüÅÅ»ÒÆ©¤«¤·, ¥¹¥Ñ¡¼¥¹, ¸í¸¡½Ð³ÎΨ, DWT, HVS
AbstractËÜÏÀʸ¤Ç¤Ï¡¤DWTÎΰè¤Ë¤ª¤±¤ëÅÅ»ÒÆ©¤«¤·¤ÎËä¤á¹þ¤ßË¡¤Ë¡Ö¥¹¥Ñ¡¼¥¹À­¡×¤Î³µÇ°¤òƳÆþ¤·¡¤¿·¤¿¤ÊÅÅ»ÒÆ©¤«¤·Ë¡¤òÄ󰯤¹¤ë¡¥¤Þ¤º¡¤½¾ÍèË¡¤ÎËä¤á¹þ¤ßÎΰè¤òʬ³ä¤·¡¤³ÆËä¤á¹þ¤ßÎΰè¤ò¶É½êÎΰè¤È¤·¤¿¡¥¼¡¤Ë¡¤¶É½êÎΰèÆâ¤Ç¤ÎÁê´Ø¤ò¶É½êÁê´Ø¤ÈÄêµÁ¤·¡¤Àµ¤È¤Ê¤ë¶É½êÁê´Ø¤Î¸Ä¿ô¤Ë¤è¤Ã¤ÆÆ©¤«¤·¤Î¸¡½Ð¤ò¹Ô¤¦ÊýË¡¤òÄ󰯤¹¤ë¡¥¤µ¤é¤Ë¡¤¸¶²èÁü¤ÎDWT·¸¿ô¤ÈÆ©¤«¤·¿®¹æ¤È¤ÎÁê´Ø¤ò¸¶»ÏÁê´Ø¤ÈÄêµÁ¤·¡¤¸¶»ÏÁê´Ø¤ÎÀäÂÐÃͤ¬¤¢¤ë¤·¤­¤¤Ãͤè¤ê¤âÂ礭¤¤¾ì¹ç¡¤Ëä¤á¹þ¤ß¤ò¹Ô¤ï¤Ê¤¤¤³¤È¤Ë¤·¤¿¡¥¤½¤ÎÍýͳ¤Ï¡¤¸¶»ÏÁê´Ø¤¬Àµ¤ËÂ礭¤±¤ì¤Ð¡¤Æ©¤«¤·¤òËä¤á¹þ¤Þ¤Ê¤¯¤Æ¤â¶É½êÁê´Ø¤ÏÀµ¤Ë¤Ê¤ê¡¤µÕ¤Ë¸¶»ÏÁê´Ø¤¬Éé¤ËÂ礭¤±¤ì¤Ð¡¤Æ©¤«¤·¤òËä¤á¹þ¤ó¤À¤È¤·¤Æ¤â¤¿¤«¤À¤«0ÉÕ¶á¤ÎÃͤˤ·¤«¤Ê¤é¤Ê¤¤¡Ê¹¶·â¤Ë¤è¤Ã¤ÆÍưפËÉé¤Ëȿž¤·¤Æ¤·¤Þ¤¦¡Ë¤¿¤á¤Ç¤¢¤ë¡¥¤Ä¤Þ¤ê¡¤¥¹¥Ñ¡¼¥¹¤È¤Ê¤ëÆ©¤«¤·¿®¹æ¤ÎÀ®Ê¬¤Ï¡¤¥í¥Ð¥¹¥ÈÀ­¤Ë¤¢¤Þ¤ê±Æ¶Á¤òÍ¿¤¨¤Ê¤¤À®Ê¬¤Ç¤¢¤ë¡¥°Ê¾å¤Î½èÍý¤Ë¤è¤ê¡¤Æ©¤«¤·¿®¹æ¤Î½Å¤ß´Ø¿ô¤ÎÃͤ¬0¤È¤Ê¤ëÎΰ褬À¸À®¤µ¤ì¡¤Æ©¤«¤·¿®¹æ¤¬¥¹¥Ñ¡¼¥¹¤È¤Ê¤ë¡¥¥¹¥Ñ¡¼¥¹¤È¤Ê¤Ã¤¿Æ©¤«¤·À®Ê¬¤Î¥¨¥Í¥ë¥®¡¼¤Ï¡¤È󥹥ѡ¼¥¹¤ÎÀ®Ê¬¤Ë¿¶¤êʬ¤±¤Æ¤¤¤ë¤³¤È¤¬¤Ç¤­¤ë¤Î¤Ç¡¤Æ©¤«¤·¤Î¥í¥Ð¥¹¥ÈÀ­¤Î¸þ¾å¤¬´üÂԤǤ­¤ë¡¥·×»»µ¡¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤ê¡¤½¾Íè¤è¤ê¤â¤µ¤é¤Ë¥í¥Ð¥¹¥ÈÀ­¤Î¹â¤¤ÅÅ»ÒÆ©¤«¤·Êý¤¬¼Â¸½¤Ç¤­¤Æ¤¤¤ë¤³¤È¤ò³Îǧ¤·¤¿¡¥

Bd2-4-2 (»þ´Ö: 15:25 - 15:45)
Âê̾Êý¸þÀ­Ê¬»¶¤Ë´ð¤Å¤¯»¨²»½üµî¥Õ¥ì¡¼¥à¥ï¡¼¥¯¤Î»¨²»È½ÄêÀºÅ٤βþÁ±Ë¡
Ãø¼Ô ¡ýÊ¡¸¶ °´, À¾Àî À¶»Ë (¼óÅÔÂç³ØÅìµþÂç³Ø±¡¥·¥¹¥Æ¥à¥Ç¥¶¥¤¥ó¸¦µæ²Ê¾ðÊóÄÌ¿®¥·¥¹¥Æ¥à³Ø°è)
Pagepp. 387 - 391
Keyword ¥Î¥ó¥í¡¼¥«¥ë¥ß¡¼¥ó, ¥Î¥¤¥º½üµî
AbstractËܹƤǤϡ¤¥Î¥ó¥í¡¼¥«¥ë¥ß¡¼¥ó¥Õ¥£¥ë¥¿¤Ë´ð¤Å¤¯»¨²»½üµî¥Õ¥ì¡¼¥à¥ï¡¼¥¯¡ÊROR-NLM)¤ËÂФ·¤Æ¡¤Êý¸þÀ­Ê¬»¶¤Ë´ð¤Å¤¯»¨²»È½ÄêÀºÅ٤βþÁ±Ë¡¤òÄ󰯤¹¤ë¡¥ROR-NLM¤Ï¡¤robust outlyingness ratio(ROR)¤È¸Æ¤Ð¤ì¤ëÆÃħÎ̤˴ð¤Å¤­¡¤²èÁǤΥΥ¤¥ºÈ½Äê¤ò¹Ô¤¤¡¤¥Î¥¤¥º¤ÈȽÄꤵ¤ì¤¿²èÁǤò¼þÊÕ²èÁǤÎÃæ±ûÃͤÈÃÖ¤­´¹¤¨¤¿¸å¤Ë¥Õ¥£¥ë¥¿¥ê¥ó¥°½èÍý¤ò¹Ô¤¦¤³¤È¤Ç¡¤²è¼Á¤ÎÄã²¼¤ò²óÈò¤¹¤ë¡¥ ROR¤Ï¡¤²èÁü¤Î¶É½êÎΰèÆâ¤ÎÃæ±ûÃͤäɸ½àÊк¹¤òÍѤ¤¤Æµá¤á¤é¤ì¡¤½èÍýÂоݤȤʤëÃíÌܲèÁǤȤ½¤Î¼þÊÕ²èÁǤÎÎà»÷ÅÙ¤òɽ¤¹¡¥ËܹƤǤϡ¤¤è¤êÀºÅ٤ι⤤¥Î¥¤¥º¸¡½Ð¤ò¼Â¸½¤¹¤ë¤³¤È¤òÌÜŪ¤È¤·¤Æ¡¤ROR-NLM¤ËÊý¸þÀ­¤ò¹Íθ¤·¤¿¶É½êʬ»¶¤Ë´ð¤Å¤¯¥Î¥¤¥º¸¡½Ð¼êË¡¤òÄɲ乤뤳¤È¤òÄ󰯤¹¤ë¡¥

Bd2-4-3 (»þ´Ö: 15:45 - 16:05)
Âê̾Ëä¤á¹þ¤ß·¿¥Þ¡¼¥«¤òÍøÍѤ·¤¿°õºþ²èÁü¤Ø¤Î¥Ç¡¼¥¿Ëä¤á¹þ¤ß¼êË¡¤Î²þÁ±
Ãø¼Ô ¶ÌÃÖ ¸ø¼÷, ¡ûÅï°Â ¼Â¼£ (´ØÀ¾Âç³Ø¥·¥¹¥Æ¥àÍý¹©³ØÉô)
Pagepp. 392 - 397
Keyword °õºþ²èÁü, ¥Ç¡¼¥¿Ëä¤á¹þ¤ß, DFT, ¥Þ¡¼¥«, DCT
AbstractËܹƤǤϡ¤Ê¿¹Ô°Üư¤ËÉÔÊѤÊÎΰè¤ËÂФ·¤Æ¾ðÊó¤ÎËä¤á¹þ¤ß¤ò¹Ô¤¦¤³¤È¤Ç¡¤ÇطʤȲèÁü¤òʬΥ¤¹¤ë¤³¤È¤Ê¤¯¾ðÊó¤Î¸¡½Ð¤¬²Äǽ¤Ç¤¢¤ë¼êË¡¤Î²þÎɤˤĤ¤¤ÆÄ󰯤¹¤ë¡¥¤³¤Î¼êË¡¤òÍѤ¤¤ë¤³¤È¤Ç¡¤Ê¿¹Ô°Üư¤Ë¤è¤ëÏĤߤò̵»ë¤¹¤ë¤³¤È¤¬¤Ç¤­¤ë¤¿¤á¡¤²èÁü¤ÎǤ°Õ¤ÎÎΰè¤ËÂФ·¤Æ¾ðÊó¤ÎËä¤á¹þ¤ß¤¬²Äǽ¤È¤Ê¤ë¡¥¿·¤¿¤ÊÊ¿¹Ô°ÜưÊäÀµË¡¤òÍѤ¤¤Æ¡¤Ëä¤á¹þ¤ßÎΰè¤Î¿äÄê¤ò¹Ô¤Ã¤¿¸å¡¤¸¡½Ð¤ò¹Ô¤¦¤³¤È¤Ç¡¤½¾Íè¼êË¡¤ÇÌäÂê¤Ç¤¢¤Ã¤¿¸¡½ÐΨ¤ÎÄ㤵¤ò²þÁ±¤Ç¤­¤ë¡¥¼Â¸³·ë²Ì¤«¤é¡¤Ä󰯼êË¡¤¬¸¡½ÐΨ¤Î²þÁ±¤ËÍ­¸ú¤Ç¤¢¤ë¤³¤È¤ò¼¨¤¹¡¥

Bd2-4-4 (»þ´Ö: 16:05 - 16:25)
Âê̾¼çÀ®Ê¬Ê¬ÀϤˤè¤ë¥¯¥ì¡¼¥¿¸¡½Ð¤È¤½¤Î¹âÀºÅÙ²½
Ãø¼Ô ¡ýÂìÌî ãÌé, ±ÊÅÄ ¿´, Æþ¹¾ ½çÌé (ÌÀ¼£Âç³ØÂç³Ø±¡Íý¹©³Ø¸¦µæ²ÊÅŵ¤¹©³ØÀì¹¶), ³ùÅÄ ¹°Ç· (ÌÀ¼£Âç³ØÍý¹©³ØÉôÅŵ¤ÅÅ»ÒÀ¸Ì¿³Ø²Ê)
Pagepp. 398 - 403
Keyword ¥¯¥ì¡¼¥¿¸¡½Ð, ¼çÀ®Ê¬Ê¬ÀÏ, SLIM¥×¥í¥¸¥§¥¯¥È
AbstractËܸ¦µæ¤Ï¡¢¼çÀ®Ê¬Ê¬ÀϤòÍѤ¤¤¿¥¯¥ì¡¼¥¿¸¡½Ð¤Î¹âÀºÅÙ²½¤ò¹Ô¤Ã¤Æ¤¤¤ë¡£±§Ãè¹Ò¶õ¸¦µæ³«È¯µ¡¹½¡¦±§Ãè²Ê³Ø¸¦µæ½ê¡ÊJAXA/ISAS¡Ë¤Ç¤Ï¡¢SLIM¥×¥í¥¸¥§¥¯¥È¤È¤·¤Æ¡¢¼«Î§Åª¤Ê²èÁü¹Ò¹Ô¤Ë¤è¤ê¡¢·îÌ̤ÎÌÜŪÃϤ˥ԥó¥Ý¥¤¥ó¥È¤ÇÃåΦ¤¹¤ë¾®·¿Ãµººµ¡¤Î³«È¯¤¬¿Ê¹Ô¤·¤Æ¤¤¤ë¡£¤³¤Î¥×¥í¥¸¥§¥¯¥È¤Ï¡¢¹â®¤«¤Ä¹âÀºÅ٤ʲèÁü½èÍý¤¬µá¤á¤é¤ì¡¢¼«¸Ê°ÌÃÖ¿äÄê¤ò¼Â¸½¤¹¤ëɬÍפ¬¤¢¤ë¡£¤·¤«¤·¡¢Ãµººµ¡¤Ï¾®·¿¤Ç¤¢¤ê¡¢¹âÀ­Ç½¤Î¥³¥ó¥Ô¥å¡¼¥¿¤òÅëºÜ¤¹¤ë¤³¤È¤Ï¤Ç¤­¤Ê¤¤¤¿¤á¡¢FPGA¤Ç¤Î¼ÂÁõ¤¬µá¤á¤é¤ì¤ë¡£¤½¤Î¤¿¤á¡¢ÊÂÎó½èÍý¤«¤ÄÄã±é»»¥ê¥½¡¼¥¹¤Ç¤Î¼Â¸½¤¬µá¤á¤é¤ì¤ë¡£ËÜÏÀʸ¤Ç¤Ï¡¢±é»»Î̤òÍÞ¤¨¤¿¶É½êŪ¤Ê¥¯¥ì¡¼¥¿¸¡½Ð¤ò¹Ô¤¤¡¢ÌäÂê¤Ç¤¢¤Ã¤¿¥¯¥ì¡¼¥¿°ÌÃÖ¤ÎÀºÅÙ¡¢¸í¸¡½Ð¤ò½¾ÍèË¡¤ÈÈæ³Ó¸¡¾Ú¤¹¤ë¡£


¥»¥Ã¥·¥ç¥ó C2-1 ÆÃÊÌ¥»¥Ã¥·¥ç¥ó¡§Äã¾ÃÈñÅÅÎÏÀß·×
Æü»þ: 2014ǯ8·î5Æü(²Ð) 9:40-10:30
Éô²°: 311B¼¼
ºÂĹ: ¾®Ê¿ ¹Ô½¨ (²ñÄÅÂç³Ø ¥³¥ó¥Ô¥å¡¼¥¿Íý¹©³ØÉô)

C2-1-1 (»þ´Ö: 9:40 - 10:05)
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Ãø¼Ô ¡ý¸Å¾ë äϯ, ¿ÏÂÅÄ ²í»Õ, Ìøß· À¯À¸, ¸ÍÀî ˾ (Áá°ðÅÄÂç³Ø)
Pagepp. 404 - 409
Keyword ÉÔ´øÈ¯¥á¥â¥ê, ½ñ¤­¹þ¤ßºï¸º, ¸í¤êÄûÀµÉ乿
Abstract¥Ç¥Ð¥¤¥¹¤ÎÈùºÙ²½¤Ë¤è¤Ã¤Æ¥á¥â¥ê¤ËÊݸ¤µ¤ì¤Æ¤¤¤ëÃͤ¬Ç˲õ¤µ¤ì¤ë¶²¤ì¤¬¤¢¤ë¡¥¥á¥â¥ê¤ÎÃͤòÉü¸µ¤µ¤»¤ë¼êË¡¤È¤·¤Æ¸í¤êÄûÀµÉ乿¤òÍøÍѤ¹¤ë¤³¤È¤¬µó¤²¤é¤ì¤ë¡¥¸í¤êÄûÀµÉ乿¤Ï¥á¥â¥ê¤Ë½ñ¤­¹þ¤à¥Ó¥Ã¥È¿ô¤¬Â¿¤¤¤¿¤á¡¤½ñ¤­¹þ¤ß¥¨¥Í¥ë¥®¡¼¤¬Â礭¤¯¤Ê¤ë¤È¤¤¤¦·çÅÀ¤¬¤¢¤ê¡¤½ñ¤­¹þ¤ßºï¸º¤È¸í¤êÄûÀµ¤òƱ»þ¤Ë¼Â¸½¤¹¤ëÉ乿¤¬É¬ÍפȤµ¤ì¤ë¡¥ËܹƤǤϤޤº½ñ¤­¹þ¤ßºï¸º¤È¸í¤êÄûÀµ¤òƱ»þ¤Ë¼Â¸½¤¹¤ëÉ乿¤È¤·¤Æ¥É¡¼¥Ê¥ÄÉ乿¤òÄ󰯤·¡¤¥É¡¼¥Ê¥ÄÉ乿¤¬ºÇ¾®¥Ï¥ß¥ó¥°µ÷Î¥¤ÈºÇÂç¥Ï¥ß¥ó¥°µ÷Î¥¤òÀ©Ìó¤·¤¿É乿¤Ç¤¢¤ë¤³¤È¤ò¼¨¤¹¡¥Â³¤¤¤Æ¡¤É乿³ÈÂç¼êË¡¤òÄ󰯤¹¤ë¡¥É乿³ÈÂç¼êË¡¤Ï¡¤É乿¤òÏ¢Àܤµ¤»¤ë¤³¤È¤Ç¿·¤¿¤ÊÉ乿¤òÀ¸À®¤¹¤ë¼êË¡¤Ç¤¢¤ë¡¥Å¬Åö¤ÊÉ乿¤ËÉ乿³ÈÂç¼êË¡¤òŬÍѤ¹¤ë¤È¡¤¾ðÊóÎÌ¡¤ºÇ¾®¥Ï¥ß¥ó¥°µ÷Î¥¡¤ºÇÂç¥Ï¥ß¥ó¥°µ÷Î¥¤ò²þÎɤ¹¤ë¤³¤È¤¬¤Ç¤­¤ë¡¥¼ÂºÝ¤Ë¥É¡¼¥Ê¥ÄÉ乿¤ËÉ乿³ÈÂç¼êË¡¤òŬÍѤ¹¤ë¤È¡¤¥Ï¥ß¥ó¥°É乿¤ÈƱÅù¤Î¸í¤êÄûÀµÇ½ÎϤò»ý¤Á¡¤½ñ¤­¹þ¤ß¥Ó¥Ã¥È¿ô¤¬ºï¸º¤µ¤ì¤ëÉ乿¤¬À¸À®¤µ¤ì¤ë¡¥·×»»µ¡¼Â¸³¤ò¹Ô¤Ã¤¿·ë²Ì¡¤¥Ï¥ß¥ó¥°É乿¤ËÈæ¤Ù¤ÆºÇÂç36%¤Î½ñ¤­¹þ¤ß¥Ó¥Ã¥È¿ô¤¬ºï¸º¤µ¤ì¤¿¡¥

C2-1-2 (»þ´Ö: 10:05 - 10:30)
Âê̾ÉôʬŪ¤Ë¹â¿®Íê¤Ê¥¹¥¯¥é¥Ã¥Á¥Ñ¥Ã¥É¥á¥â¥ê¤ò»ý¤ÄÁȹþ¤ß¥·¥¹¥Æ¥à¤Ë¤ª¤±¤ëÌ¿ÎáÇÛÃÖºÇŬ²½
Ãø¼Ô ¡ýȪ»³ ÂóÌé, ¹âÀ¥ ±Ñ´õ, ¹âÌÚ °ìµÁ, ¹âÌÚ Ä¾»Ë (µþÅÔÂç³Ø)
Pagepp. 410 - 415
Keyword Áȹþ¤ß, SPM, ECC, Äã¾ÃÈñ¥¨¥Í¥ë¥®¡¼
AbstractËܸ¦µæ¤Ç¤Ï¡¤Áȹþ¤ß¥·¥¹¥Æ¥à¤Ëµá¤á¤é¤ì¤ë¥½¥Õ¥È¥¨¥é¡¼ÂÑÀ­¤ò³ÎÊݤ·¤¿¾å¤Ç¡¤¾ÃÈñ¥¨¥Í¥ë¥®¡¼¤òºÇŬ²½¤¹¤ë¼êË¡¤òÄ󰯤¹¤ë¡¥¤Þ¤º¡¤¸í¤êÄûÀµÉ乿¡ÊECC¡Ë¤òÉôʬŪ¤ËÉÕÍ¿¤·¤¿¥¹¥¯¥é¥Ã¥Á¥Ñ¥Ã¥É¥á¥â¥ê¡ÊSPM¡Ë¤ò»ý¤Ä¥á¥â¥ê¥·¥¹¥Æ¥à¤Î³èÍѤòÄ󰯤¹¤ë¡¥¿®ÍêÀ­¤¬É¬Íפʴؿô¤ÏECCÉô¤Ë½¸ÃæÇÛÃÖ¤·¡¤¤½¤ì¤Û¤É¿®ÍêÀ­¤¬É¬ÍפǤϤʤ¤¤¬Ì¿Îá¤Î¥Õ¥§¥Ã¥Á²ó¿ô¤¬Â¿¤¤´Ø¿ô¤ÏÈóECCÉô¤ËÇÛÃÖ¤·¤Æ¾ÃÈñ¥¨¥Í¥ë¥®¡¼¤Îºï¸º¤ò¿Þ¤ë¡¥¼¡¤Ë¡¤¤³¤Î¥á¥â¥ê¥·¥¹¥Æ¥à¤ËÂФ¹¤ëÌ¿ÎáÇÛÃÖºÇŬ²½¼êË¡¤òÀ°¿ô·×²èÌäÂê¤È¤·¤ÆÄê¼°²½¤¹¤ë¡¥ºÇŬ²ò¤òµá¤á¤ë¤³¤È¤Ç¡¤Í׵ᤵ¤ì¤ë¿®ÍêÀ­¤ò³ÎÊݤ·¤¿¾å¤Ç¾ÃÈñ¥¨¥Í¥ë¥®¡¼ºÇŬ¤ÊÌ¿ÎáÇÛÃÖ¤¬ÆÀ¤é¤ì¤ë¡¥É¾²Á¼Â¸³¤Ë¤è¤ê¡¤Ä󰯼êË¡¤ÏECC¤Ë¤è¤ë¥ª¡¼¥Ð¡¼¥Ø¥Ã¥É¤¬Â礭¤¤¤È¤­¤ËÍ­¸ú¤Ç¤¢¤ë¤³¤È¤ò¼¨¤¹¡¥


¥»¥Ã¥·¥ç¥ó C2-2 ¾·ÂԹֱ飲
Æü»þ: 2014ǯ8·î5Æü(²Ð) 10:45-11:45
Éô²°: 311B¼¼
ºÂĹ: ¹â¶¶ ÆÆ»Ê (Åìµþ¹©¶ÈÂç³Ø)

C2-2-1 (»þ´Ö: 10:45 - 11:45)
Âê̾(¾·ÂÔ) NEC¥¹¡¼¥Ñ¡¼¥³¥ó¥Ô¥å¡¼¥¿SX-ACE³«È¯¤Ë¤ª¤±¤ëLSIÀß·×µ»½Ñ¤Ë¤Ä¤¤¤Æ
Ãø¼Ô ¡ûĹÀ¥ ¸ç (NEC IP¥×¥é¥Ã¥È¥Õ¥©¡¼¥à»ö¶ÈÉô Âè»°¥µ¡¼¥ÐÅý³çÉô)
Keyword ¥¹¡¼¥Ñ¡¼¥³¥ó¥Ô¥å¡¼¥¿, LSIÀß·×, ¸¡¾Ú
Abstract¡Ö£Ó£Ø¡Ý£Á£Ã£Å¡×¤Ï£Î£Å£Ã¤¬¹âÀ­Ç½¤È»È¤¤¤ä¤¹¤µ¤ò¤ªµÒÍͤØÄ󶡤¹¤Ù¤¯³«È¯¤·¤¿¥¹¡¼¥Ñ¡¼¥³¥ó¥Ô¥å¡¼¥¿¤Ç¤¢¤ë¡£ ¤³¤Î¼Â¸½¤Ë¤¢¤¿¤ê¡¢¹âÀ­Ç½¤Ê£´¤Ä¤Î£Ã£Ð£Õ¥³¥¢¤ò¤Ï¤¸¤á¡¢¥­¥ã¥Ã¥·¥å¡¢¥á¥â¥êÀ©¸æ¡¢£É¡¿£ÏÀ©¸æ¡¢¥Í¥Ã¥È¥ï¡¼¥¯ ÄÌ¿®À©¸æ¤Ê¤É¿¿ô¤Îµ¡Ç½¤ò°ì¤Ä¤Î£Ì£Ó£É¤ËÅý¹ç¤·¤¿¥ª¡¼¥ë¥¤¥ó¥ï¥ó¥×¥í¥»¥Ã¥µ¤òÀ߷פ·¤¿¡£È¾Æ³ÂÎ¥×¥í¥»¥¹¤Î¿Ê ²½¤Ëȼ¤¤£Ì£Ó£É¤Î¹â½¸ÀѲ½¡¢Â¿µ¡Ç½²½¤¬¿Ê¤à°ìÊý¤Ç¡¢Àß·×Ì̤ˤª¤¤¤Æ¤ÏÅÅÎÏÌäÂê¤Ø¤ÎÂбþ¤ä¸¡¾Úºî¶È¤ÎÉé²ÙÁýÂç ¤Ê¤ÉÀß·×¤ÎÆñ°×Å٤Ϥޤ¹¤Þ¤¹¹â¤Þ¤ë·¹¸þ¤Ë¤¢¤ë¡£Ëֱܹé¤Ç¤Ï¡¢Â絬Ìϣ̣ӣÉÀ߷פˤª¤±¤ë¾ÃÈñÅÅÎϺ︺¤äÏÀÍý¸¡ ¾Ú¤Ê¤É¤ò¼è¤ê¾å¤²¡¢¼ÂºÝ¤ÎÀ߷׸½¾ì¤ÇľÌ̤¹¤ë²ÝÂꤪ¤è¤Ó¤³¤ì¤ËÂФ¹¤ë¼è¤êÁȤߤˤĤ¤¤Æ³µÀ⤹¤ë¡£


¥»¥Ã¥·¥ç¥ó C2-3 Àß·×¼êË¡£±
Æü»þ: 2014ǯ8·î5Æü(²Ð) 13:30-14:45
Éô²°: 311B¼¼
ºÂĹ: ¹âÅç ¹¯Íµ (Ë̶彣»ÔΩÂç³Ø)

C2-3-1 (»þ´Ö: 13:30 - 13:55)
Âê̾²óÏ©ÌÌÀѤò¹Íθ¤·¤¿Suspicious Timing Error Prediction²óÏ©¤ÎÁÞÆþ°ÌÃÖ·èÄê¼êË¡
Ãø¼Ô ¡ýµÈÅÄ ¿µÇ·²ð (Áá°ðÅÄÂç³ØÂç³Ø±¡´ð´´Íý¹©³Ø¸¦µæ²Ê¾ðÊóÍý¹©¡¦¾ðÊóÄÌ¿®Àì¹¶), »Ë Ëô²Ú (Áá°ðÅÄÂç³Ø¹âÅù¸¦µæ½ê), Ìøß· À¯À¸, ¸ÍÀî ˾ (Áá°ðÅÄÂç³ØÂç³Ø±¡´ð´´Íý¹©³Ø¸¦µæ²Ê¾ðÊóÍý¹©¡¦¾ðÊóÄÌ¿®Àì¹¶)
Pagepp. 416 - 421
Keyword ¥¿¥¤¥ß¥ó¥°¥¨¥é¡¼Í½Â¬, ¥í¥Ð¥¹¥ÈÀß·×
Abstract¶áǯ¡¤È¾Æ³Âε»½Ñ¤ÎÈùºÙ²½¤Ëȼ¤¦¥¿¥¤¥ß¥ó¥°À߷פÎÊ£»¨²½¤Ë¤è¤ê¡¤¥¿¥¤¥ß¥ó¥°¥¨¥é¡¼È¯À¸¤Î´í¸±À­¤¬Áý²Ã¤·¤Æ¤¤¤ë¡¥²ò·èºö¤È¤·¤Æ¡¤¤³¤ì¤Þ¤Ç¤Î¥ï¡¼¥¹¥È¥±¡¼¥¹À߷פǤÏÊݼéŪ¤¹¤®¤ë¤¿¤á¡¤¤è¤ê¸úΨ¤ÎÎɤ¤¥¿¥¤¥ß¥ó¥°¥¨¥é¡¼Âкö¼êË¡¤¬µá¤á¤é¤ì¤Æ¤¤¤ë¡¥ËܹƤǤϡ¤STEP¤òÍѤ¤¤¿²óÏ©Á´ÂΤΥ¿¥¤¥ß¥ó¥°¥¨¥é¡¼Âкö¤ËÃåÌܤ·¡¤²óÏ©ÌÌÀѤò¹Íθ¤·¤¿STEP²óÏ©¤ÎÁÞÆþ°ÌÃÖ¤ò·èÄꤹ¤ë¥¢¥ë¥´¥ê¥º¥à¤òÄ󰯤¹¤ë¡¥Ä󰯼êË¡¤Ï¡¤ÂоݲóÏ©¡¤ÁÞÆþ°ÌÃÖÀ©Ìó¡¤Ìµ»ë¤¹¤ë¥Ñ¥¹À©Ìó¤¬Í¿¤¨¤é¤ì¤¿¤È¤­¡¤ºÇÂç¥Õ¥í¡¼ºÇ¾®¥«¥Ã¥È¤ÎÄêÍý¤òŬÍÑ ¤¹¤ë¤³¤È¤Ç¡¤STEP²óÏ©¤ÎɬÍפʸĿô¤òºÇ¾®²½¤¹¤ë¤è¤¦¤ËÁÞÆþ°ÌÃÖ¤ò·èÄꤹ¤ë¡¥·×»»µ¡¼Â¸³¤Ë¤è¤ê¡¤Ä󰯼êË¡¤ÎÍ­¸úÀ­¤òɾ²Á¤¹¤ë¡¥

C2-3-2 (»þ´Ö: 13:55 - 14:20)
Âê̾A New Intensity Based Edge Placement Error Optimization Algorithm for Optical Lithography
Ãø¼Ô ¡ýAhmed Awad, Atsushi Takahashi (Tokyo Institute of Technology), Satoshi Tanaka, Chikaaki Kodama (Toshiba)
Pagepp. 422 - 427
Keyword Lithography, Mask, Segment, Hammer, EPE
AbstractWith the continuous shrinking of minimum feature sizes beyond current 193nm wavelength for optical micro lithography, the electronic industry relies on Resolution Enhancement Techniques (RETs) to improve pattern transfer fidelity. Dense layouts suffer from more and more image quality degradation that badly impacts lithographic yield. In this paper, a new intensity based algorithm is proposed to minimize Edge Placement Error (EPE) in low scale features printing through simultaneous shifting of neighboring segments and serifis sizing for corners. Our experimental results show that our algorithm minimizes EPE effectively on the public benchmarks released by IBM for ICCAD 2013 contest.

C2-3-3 (»þ´Ö: 14:20 - 14:45)
Âê̾¥Ï¡¼¥É¥¦¥§¥¢¤Îµ¡Ç½¸Î¾ã¥â¥Ç¥ë¤Î¸¡½Ð¥Æ¥¹¥È¥Ñ¥¿¡¼¥óÀ¸À®¼êË¡¤È¤½¤Î¥«¥Ð¥ì¥Ã¥¸Ê¬ÀϼêË¡
Ãø¼Ô ¡ý¾ë Îç»Ë (ÅìµþÂç³ØÂç³Ø±¡¹©³Ø·Ï¸¦µæ²ÊÅŵ¤·Ï¹©³ØÀì¹¶), Æ£ÅÄ ¾»¹¨ (ÅìµþÂç³ØÂ絬ÌϽ¸ÀÑ¥·¥¹¥Æ¥àÀß·×¶µ°é¸¦µæ¥»¥ó¥¿¡¼), ¾¾ËÜ ¹ä»Ë (ÀÐÀ¶È¹âÅùÀìÌç³Ø¹» ÅŻҾðÊ󹩳زÊ)
Pagepp. 428 - 433
Keyword µ¡Ç½¸Î¾ã, SATÌäÂê, ¥«¥Ð¥ì¥Ã¥¸
Abstract²óÏ©¤ÎÂ絬Ìϲ½¡¢Ê£»¨²½¤Ëȼ¤¤¡¢½¾Íè¤Î½ÌÂà¸Î¾ã¥â¥Ç¥ë¤Ç¤Ï¸Î¾ã¤òÀµ¤·¤¯¸¡½Ð¤Ç¤­¤Ê¤¤¤³¤È¤¬¤¢¤ë¡£¶áǯ¡¢³°Éô½ÐÎϤˤª¤¤¤Æ´Ñ¬¤µ¤ì¤Ê¤¤¸Î¾ã¤Ë¤Ä¤¤¤Æ¤Ï¸Î¾ã¤·¤Æ¤¤¤Ê¤¤¤â¤Î¤È¤·¤Æ¡¢³°Éô½ÐÎϤ«¤é¸¡½Ð²Äǽ¤Ê¤¹¤Ù¤Æµ¡Ç½¸Î¾ã¤ò°·¤¦ Functionally Observable Fault(FOF) ¤È¸Æ¤Ð¤ì¤ë¸Î¾ã¥â¥Ç¥ë¤È¤½¤Î ATPG ¼êË¡¤¬Ä󰯤µ¤ì¤¿¡£ËܹƤǤϡ¢FOF¤Î¹Í¤¨Êý¤Ë´ð¤Å¤­¡¢²óÏ©Ãæ¤ÎÁ´¤Æ¤Î FOF ¤ò¸¡½Ð¤¹¤ë¤¿¤á¤Î¥Æ¥¹¥È¥Ñ¥¿¡¼¥óÀ¸À®¼êË¡¤È FOF ¤Î¥«¥Ð¥ì¥Ã¥¸Ê¬ÀϼêË¡¤òÄ󰯤¹¤ë¡£¼Â¸³·ë²Ì¤Ë¤è¤ê¡¢²óÏ©Ãæ¤ÎÁ´¤Æ¤Î FOF ¤ò¸¡½Ð¤¹¤ë¥Æ¥¹¥È¥Ñ¥¿¡¼¥ó¤Ï¡¢É¬Íפʥƥ¹¥È¥Ñ¥¿¡¼¥ó¤Î¿ô¤¬Èæ³ÓŪ¾®¤µ¤¤¤Ë¤â´Ø¤ï¤é¤º¡¢½ÌÂà¸Î¾ã¤ò¸¡½Ð¤¹¤ë¤¿¤á¤Î¥Æ¥¹¥È¥Ñ¥¿¡¼¥ó¤ä¥é¥ó¥À¥à¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ç¤Ï¸¡½ÐÉÔ²Äǽ¤Ê FOF¤ò¸¡½Ð²Äǽ¤Ç¤¢¤ë¤³¤È¤¬¤ï¤«¤Ã¤¿¡£


¥»¥Ã¥·¥ç¥ó C2-4 Àß·×¼êË¡£²
Æü»þ: 2014ǯ8·î5Æü(²Ð) 15:00-16:15
Éô²°: 311B¼¼
ºÂĹ: ¹âÀ¥ ±Ñ´õ (µþÅÔÂç³Ø)

C2-4-1 (»þ´Ö: 15:00 - 15:25)
Âê̾¶¦Í­·¿¥Þ¥ë¥ÁFPGA¥·¥¹¥Æ¥à¤Ë¸þ¤±¤¿¥·¥¹¥Æ¥à¥ê¥½¡¼¥¹ºÆ³äÅö¤Æ¼êË¡¤Îɾ²Á
Ãø¼Ô ¡ý±¦¶á Í´ÂÀ, ´Ø¸¶ ͪ²ð, ÀÄÌÚ ¹§, µÜºê ¾¼É§ (ÆüËÜÅÅ¿®ÅÅÏóô¼°²ñ¼Ò ¥Þ¥¤¥¯¥í¥·¥¹¥Æ¥à¥¤¥ó¥Æ¥°¥ì¡¼¥·¥ç¥ó¸¦µæ½ê)
Pagepp. 434 - 439
Keyword ¥Ï¡¼¥É¥¦¥§¥¢¥¢¥¯¥»¥é¥ì¡¼¥·¥ç¥ó, ¥Þ¥ë¥ÁFPGA¥·¥¹¥Æ¥à, ưŪºÆÇÛÃÖ, ¥¬¥Ù¡¼¥¸¥³¥ì¥¯¥·¥ç¥ó
Abstract¥½¥Õ¥È¥¦¥§¥¢½èÍýÉé²Ù¤ò¥ª¥Õ¥í¡¼¥É¤¹¤ë¥Ï¡¼¥É¥¦¥§¥¢¥¢¥¯¥»¥é¥ì¡¼¥¿¤ÎÁªÂò»è¤Î°ì¤Ä¤È¤·¤ÆFPGA¤¬ÃíÌܤµ¤ì¤Æ¤¤¤ë¡¥²æ¡¹¤Ï¤³¤ì¤Þ¤Ç¤ËÊ£¿ô¤ÎFPGA¤òÍѤ¤¤¿¶¦Í­·¿¥Þ¥ë¥ÁFPGA ¥·¥¹¥Æ¥à¤Î³«È¯¤ò¿Ê¤á¤Æ¤ª¤ê¡¤²èÁü½èÍý¤Ë¤Ê¤É¤Ë±þÍѤ·¤Æ¤­¤¿¡¥ËܹƤǤϡ¤Á°½Ò¤Î¥·¥¹¥Æ¥à¤Ë¤ª¤±¤ë¥·¥¹¥Æ¥à¥ê¥½¡¼¥¹¤ÎÍøÍѸúΨ¤ò²þÁ±¤¹¤ë¤¿¤á¤Ë¡¤·×»»¥ê¥½¡¼¥¹¤ÈIO¥ê¥½¡¼¥¹¤Î¾ÃÈñÎ̤κÇŬ²½¤ò¿Þ¤ë´ÉÍý¼êË¡¤òÄ󰯤¹¤ë¡¥¤½¤·¤Æ¡¤¤½¤Î¥¢¥ë¥´¥ê¥º¥à¤ÎÀ­Ç½¤Ë¤Ä¤¤¤Æ¥·¥ß¥å¥ì¡¼¥·¥ç¥óɾ²Á¤ò¹Ô¤Ã¤¿·ë²Ì¤òÊó¹ð¤¹¤ë¡¥

C2-4-2 (»þ´Ö: 15:25 - 15:50)
Âê̾±é»»¥Á¥§¥¤¥Ë¥ó¥°¸õÊäÎóµó¤Ë´ð¤Å¤¯ÇÛÀþÃÙ±ä¤ò¹Íθ¤·¤¿¹â°Ì¹çÀ®¼êË¡
Ãø¼Ô ¡ý»ûÅÄ ¹¸ÂÀϯ (Áá°ðÅÄÂç³ØÂç³Ø±¡´ð´´Íý¹©³Ø¸¦µæ²Ê¾ðÊóÍý¹©¡¦¾ðÊóÄÌ¿®Àì¹¶), Ìøß· À¯À¸ (Áá°ðÅÄÂç³ØÂç³Ø±¡´ð´´Íý¹©³Ø¸¦µæ²ÊÅŻҸ÷¥·¥¹¥Æ¥à³ØÀì¹¶), ¸ÍÀî ˾ (Áá°ðÅÄÂç³ØÂç³Ø±¡´ð´´Íý¹©³Ø¸¦µæ²Ê¾ðÊóÍý¹©¡¦¾ðÊóÄÌ¿®Àì¹¶)
Pagepp. 440 - 445
Keyword ¹â°Ì¹çÀ®, ±é»»¥Á¥§¥¤¥Ë¥ó¥°, ÇÛÀþÃÙ±ä, RDR¥¢¡¼¥­¥Æ¥¯¥Á¥ã
AbstractȾƳÂΤÎÈùºÙ²½µ»½Ñ¤Ëȼ¤¤¡¤ÇÛÀþÃÙ±ä¤ÎÁêÂÐŪÁýÂ礬ÌäÂê¤È¤Ê¤Ã¤Æ¤¤¤ë¡¥ËܹƤǤϡ¤¹â°Ì¥ì¥Ù¥ë¤ÇÇÛÀþÃÙ±ä¤ò¹Íθ²Äǽ¤ÊRDR¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤òÂоݤˡ¤±é»»¥Á¥§¥¤¥Ë¥ó¥°¤òÍѤ¤¤Æ¥ì¥¤¥Æ¥ó¥·¤òºï¸º¤¹¤ë¹â°Ì¹çÀ®¼êË¡¤òÄ󰯤¹¤ë¡¥Ä󰯼êË¡¤Ï¥Á¥§¥¤¥Ë¥ó¥°¸õÊä¤òÎóµó¤·¤¿¸å¡¤MCD¤È¤¤¤¦»ØÉ¸¤òƳÆþ¤·ÇÛÀþÃÙ±ä¤ò¹Íθ¤·¤¿¥Þ¥ë¥Á¥µ¥¤¥¯¥ëÄÌ¿®¤ËŬ¤·¤¿¥¹¥±¥¸¥å¡¼¥ê¥ó¥°¡¤¥Ð¥¤¥ó¥Ç¥£¥ó¥°¤ò¼Â¹Ô¤¹¤ë¡¥¥Á¥§¥¤¥Ë¥ó¥°¸õÊä¤ò²¾Äê¤È¤·¤ÆÍ¿¤¨¤ë¤Î¤Ç¤Ï¤Ê¤¯¡¤¥¢¥ë¥´¥ê¥º¥à¤òÍѤ¤¤Æ¼Â¹Ô²Äǽ¤Ê¸õÊä¤òÎóµó¤·RDR¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤ËºÇŬ¤Ê¤â¤Î¤òÁªÂò¤¹¤ë¡¥·×»»µ¡¼Â¸³¤Ë¤è¤ê¡¤Ä󰯼êË¡¤Ï±é»»¥Á¥§¥¤¥Ë¥ó¥°¤òÍѤ¤¤Ê¤¤½¾Íè¤Î¹â°Ì¹çÀ®¼êË¡¤ÈÈæ³Ó¤·¤Æ¡¤¥ì¥¤¥Æ¥ó¥·¤òºÇÂç28.6%¡¤¥ì¥¸¥¹¥¿¿ô¤òºÇÂç37.5%¡¤¥Þ¥ë¥Á¥×¥ì¥¯¥µ¿ô¤òºÇÂç25.0%ºï¸º¤·¤¿¡¥

C2-4-3 (»þ´Ö: 15:50 - 16:15)
Âê̾²óÏ©¥Ö¥í¥Ã¥¯¤ÎÁȤ߹ç¤ï¤»¤Ë¤è¤ë¥³¥ó¥Ñ¥ì¡¼¥¿²óÏ©¤Î¼«Æ°¹çÀ®
Ãø¼Ô ¡ý²ÃÆ£ ²í¿Í, ¹â°æ ¿­ÏÂ, ¾®ÎÓ ½ÕÉ×, º¬´ß ¹§¹Ô, ´Ø ÍÎÌÀ (·²ÇÏÂç³Ø)
Pagepp. 446 - 451
Keyword ¼«Æ°¹çÀ®, ¥³¥ó¥Ñ¥ì¡¼¥¿, ºÇŬ²½µ¡Ç½, ²óÏ©¥Ö¥í¥Ã¥¯, HSPICE
Abstract¥¢¥Ê¥í¥°²óÏ©¤ÎÀ߷פˤϡ¢¥È¥Ý¥í¥¸¡¼¤ÎÁªÂò¤ä²óÏ©¤ÎÀܳ¾ðÊó¤Ê¤É¿¤¯¤Î¾ðÊ󤬴ޤޤì¤ë¤¿¤áÀ߷פμ«Í³ÅÙ¤¬Â礭¤¯¡¢ºÇŬ¤Ê²óÏ©¤òÀ߷פ¹¤ë¤Î¤Ïº¤Æñ¤Ç¤¢¤ë¡£¤µ¤é¤Ë¡¢¶áǯ¤Î½¸ÀѲóÏ©µ¬ÌϤÎÁýÂç²½¤Ëȼ¤¤¡¢Àß·×»þ´Ö¤ÎĹ´ü²½¤¬¿¼¹ï¤ÊÌäÂê¤È¤Ê¤ê»Ï¤á¤Æ¤¤¤ë¡£¤½¤³¤Ç¸½ºß¤Ç¤Ï¡¢¥³¥ó¥Ô¥å¡¼¥¿¤Ë¤è¤ë²óÏ©¤Î¼«Æ°À߷פËÃíÌܤ¬½¸¤Þ¤Ã¤Æ¤¤¤ë¡£ Ä󰯤¹¤ë¼«Æ°¹çÀ®¤Ï¡¢¥Ð¥¤¥¢¥¹²óÏ©¤äº¹Æ°ÆþÎϲóÏ©¡¢¥½¡¼¥¹ÀßÃÖÁýÉý²óÏ©¡¢¥¤¥ó¥Ð¡¼¥¿²óÏ©¤Ê¤É¤Î²óÏ©¥Ö¥í¥Ã¥¯¤ò¼«Í³¤ËÁȤ߹ç¤ï¤»¤ë¤³¤È¤Ç¥³¥ó¥Ñ¥ì¡¼¥¿¤Î²óÏ©¥È¥Ý¥í¥¸¡¼¤òºîÀ®¤·¡¢HSPICE¤ÎºÇŬ²½µ¡Ç½¤òÍѤ¤¤Æ±þÅú»þ´Ö¤ÈÃÙ±ä»þ´Ö¤Ë¤Ä¤¤¤ÆÀßÄê¾ò·ï¤òËþ¤¿¤¹¤è¤¦¤ËÁÇ»ÒÃͤò·èÄꤷ¡¢¼¡¤ËºîÀ®¤·¤¿²óÏ©¤ÎÀ­Ç½»ØÉ¸ÃÍ (±þÅú»þ´Ö, ÃÙ±ä»þ´Ö, ½ÐÎÏ¿¶Éý, ¥ª¥Õ¥»¥Ã¥ÈÅ۵, ¾ÃÈñÅÅή) ¤ò»»½Ð¡£ºÇ¸å¤Ë¡¢»»½Ð¤·¤¿À­Ç½»ØÉ¸Ãͤò»È¤Ã¤ÆÉ¾²Á´Ø¿ô¤òƳ½Ð¤·¡¢²óÏ©¥È¥Ý¥í¥¸¡¼¤ÎÀ­Ç½É¾²Á¤ò¹Ô¤¦¡£¤³¤Î°ìÏ¢¤Îưºî¤ò¡¢À¸À®¤·¤¿¤¤²óÏ©¥È¥Ý¥í¥¸¡¼¤Î²ó¿ôʬ·«¤êÊÖ¤·¡¢É¾²Á´Ø¿ô¤Î·×»»·ë²Ì¤¬ºÇ¤âÂ礭¤¤²óÏ©¤ò¡¢ºÇ¤âÀ­Ç½¤Î¤è¤¤²óÏ©¤È¤ß¤Ê¤¹¡£


¥»¥Ã¥·¥ç¥ó D2-1 ¥°¥é¥Õ¤È¥¢¥ë¥´¥ê¥º¥à
Æü»þ: 2014ǯ8·î5Æü(²Ð) 9:40-10:30
Éô²°: 405¼¼
ºÂĹ: Ãæ»³ ¿µ°ì (ÆÁÅçÂç³Ø Áí¹ç²Ê³ØÉô ¼«Á³¥·¥¹¥Æ¥à³Ø²Ê ¿ôÍý²Ê³Ø)

D2-1-1 (»þ´Ö: 9:40 - 10:05)
Âê̾(n,k)-¥¹¥¿¡¼¥°¥é¥Õ¾å¤ÎÆÈΩÌڤˤĤ¤¤Æ
Ãø¼Ô ¡ý¾®³Þ¸¶ Âó³¤, »³ÅÄ ÉÒµ¬ (ºë¶ÌÂç³ØÂç³Ø±¡Íý¹©³Ø¸¦µæ²Ê¿ôÍýÅŻҾðÊóÉôÌç)
Pagepp. 452 - 457
Keyword (n,k)-¥¹¥¿¡¼¥°¥é¥Õ, ÆÈΩÌÚ, Ï¢·ëÅÙ
AbstractG ¤ò¥°¥é¥Õ¤È¤·, r ¤ò G ¤ÎÅÀ¤È¤¹¤ë. ¤Þ¤¿, T, T' ¤ò G ¤ÎÁ´°èÌڤȤ¹¤ë. G ¤ÎǤ°Õ¤ÎÅÀ v ¤ËÂФ·¤Æ r ¤È v ¤ò·ë¤Ö T ¾å¤Î¥Ñ¥¹ P ¤È T' ¾å¤Î¥Ñ¥¹ P' ¤¬ÆâÅÀÈó¶¦Í­¤Ç¤¢¤ë¤È¤­, T ¤È T' ¤Ï r ¤òº¬¤È¤¹¤ë G ¤ÎÆÈΩÌڤȸƤФì¤ë. ¾®Ê¸¤Ç¤Ï, (n,k)-¥¹¥¿¡¼¥°¥é¥Õ¤¬Ç¤°Õ¤ÎÅÀ r ¤ËÂФ·¤Æ r ¤òº¬¤È¤¹¤ë (n-1) ¸Ä¤ÎÆÈΩÌÚ¤ò»ý¤Ä¤³¤È¤ò, ¼ÂºÝ¤ËÆÈΩÌÚ¤ò¹½À®¤¹¤ë¤³¤È¤Ë¤è¤Ã¤Æ¾ÚÌÀ¤¹¤ë.

D2-1-2 (»þ´Ö: 10:05 - 10:30)
Âê̾µÕõº÷¤Ë´ð¤Å¤¯ pmg ¥¿¥¤¥ê¥ó¥°¤ÎÎóµó
Ãø¼Ô ¡ýÀ¾²¬ ½á (ºë¶ÌÂç³Ø Íý¹©³Ø¸¦µæ²Ê), ËÙ»³ µ®»Ë (ºë¶ÌÂç³Ø ¾ðÊó¥á¥Ç¥£¥¢´ðÈ×¥»¥ó¥¿¡¼)
Pagepp. 458 - 463
Keyword Îóµó¥¢¥ë¥´¥ê¥º¥à, µÕõº÷, ¥¿¥¤¥ê¥ó¥°
Abstract¥Ý¥ê¥ª¥ß¥Î¤Ïñ°ÌÀµÊý·Á¤òÊÕÆ±»Î¤¬Àܳ¤¹¤ë¤è¤¦¤ËÁȤ߹ç¤ï¤»¤Æ¤Ç¤­¤ë¿Þ·Á¤Ç¤¢¤ë¡£¤Þ¤¿¡¢pmg ¥¿¥¤¥ê¥ó¥°¤Ï¡¢¶À±Ç¤È¤¹¤Ù¤ê¶À±Ç¤Î·«¤êÊÖ¤·¤Ç¡¢´ðËܿ޷Á¤òÊ¿Ì̤˷ä´Ö¤Ê¤¯½Å¤Ê¤ê¤Ê¤¯Éߤ­µÍ¤á¤ë¥¿¥¤¥ê¥ó¥°¤Ç¤¢¤ë¡£ËܹƤǤϡ¢ÎóµóÂоݤ¬ÆâÊñ¤¹¤ëÌÚ¹½Â¤¤òÍøÍѤ·¡¢µÕõº÷¤Ë¤è¤ê¡¢pmg ¥¿¥¤¥ê¥ó¥°²Äǽ¤Ê¥Ý¥ê¥ª¥ß¥Î¤ÎÎóµó¤ò¹Ô¤¦¡£¤Þ¤¿¡¢µÕõº÷¤Ë´ð¤Å¤¯ p4 (90ÅÙ²óž) ¥¿¥¤¥ê¥ó¥°¤ÎÎóµó¤Î¾ÚÌÀ¤ò³ÈÄ¥¤·¡¢pmg ÆÃÍ­¤Î¾ÚÌÀ¤ò²Ã¤¨¤ë¤³¤È¤Ç¡¢pmg ¥¿¥¤¥ê¥ó¥°²Äǽ¤Ê¿Þ·Á¤òÎóµó¤Ç¤­¤ë¤³¤È¤ò¼¨¤¹¡£Ä󰯼êË¡¤Ï¡¢¥ë¡¼¥ë¤Ë½¾¤Ã¤Æ¿Þ·Á¤òµá¤á¤ë¡£¤³¤Î¤¿¤á¡¢²áµî¤ÎÀ¸À®¿Þ·Á¤È¤ÎƱ°ìÀ­È½Äê¤òɬÍפȤ¹¤ë»î¹Ôºø¸í¤Ë¤è¤ë½¾ÍèË¡¤ËÂФ·¤Æ¡¢·×»»»þ´Ö¤Î¸úΨ²½¤È·×»»Îΰè¤Îºï¸º¤¬¿Þ¤ì¤ë¡£


¥»¥Ã¥·¥ç¥ó D2-2 ¾·ÂԹֱ飲
Æü»þ: 2014ǯ8·î5Æü(²Ð) 10:45-11:45
Éô²°: 405¼¼
ºÂĹ: ÅÄÃæ ͦ¼ù (·²ÇÏÂç³Ø)

D2-2-1 (»þ´Ö: 10:45 - 11:45)
Âê̾(¾·ÂÔ) Ê£¿ô¤Î¿ÌÌÂΤòÀÞ¤ì¤ë¿³Ñ·Á¤Ë¤Ä¤¤¤Æ
Ãø¼Ô ¡û¾å¸¶ δʿ (ËÌΦÀèü²Ê³Øµ»½ÑÂç³Ø±¡Âç³Ø)
Pagepp. 464 - 468
Keyword Ÿ³«¿Þ, ÆÌ¿ÌÌÂÎ, õº÷¥¢¥ë¥´¥ê¥º¥à
AbstractËֱܹé¤Ç¤Ï¡¤Í¿¤¨¤é¤ì¤¿Â¿³Ñ·Á¤«¤éÀޤ뤳¤È¤Î¤Ç¤­¤ëÆÌ¿ÌÌÂΤˤĤ¤¤Æ¾Ò²ð¤¹ ¤ë¡¥°ìÈ̤ˡ¤Í¿¤¨¤é¤ì¤¿Â¿³Ñ·Á¤«¤éÀÞ¤ì¤ëÆÌ¿ÌÌÂΤϰì°Õ¤Ç¤Ï¤Ê¤¯¡¤Ê£¿ô¤ÎÆÌ ¿ÌÌÂΤ¬ÀÞ¤ì¤ë¤³¤È¤¬Â¿¤¤¡¥ÆÃ¤ËÆÌ¿ÌÌÂΤÎÌÌ¤ÎÆâÉô¤òÀڤ곫¤¤¤ÆÆÀ¤é¤ì¤ë¿ ³Ñ·Á¤Ë¤Ä¤¤¤Æ¤Ï¡¤ÃΤé¤ì¤Æ¤¤¤ë¤³¤È¤Ï¤´¤¯¸Â¤é¤ì¤Æ¤¤¤ë¡¥½©»³¡¦ÆàÎɤˤè¤Ã¤Æ¡¤ »ÍÌÌÂΤΟ³«¿Þ¤ÈÊ¿Ì̽¼Å¶¡Ê¥¿¥¤¥ê¥ó¥°¡Ë¤Î´Ö¤Ë¿¼¤¤´Ø·¸¤¬¤¢¤ë¤³¤È¤¬¼¨¤µ¤ì ¤Æ¤¤¤ë¤¬¡¤¤½¤ì°Ê³°¤Ë¡¤¤¢¤Þ¤ê¤ï¤«¤Ã¤Æ¤¤¤ë¤³¤È¤Ï¤Ê¤¤¤Î¤¬¸½¾õ¤Ç¤¢¤ë¡¥¶áǯ¡¤ Ãø¼Ô¤é¤Ë¤è¤ê¡¤¡Ö£³Ä̤ê¤Î°Û¤Ê¤ëÈ¢¤¬ÀÞ¤ì¤ë°ì¤Ä¤ÎŸ³«¿Þ¡×¤¬È¯¸«¤µ¤ì¤¿¡¥ ¤³¤Î·ë²Ì¤ËÅþ¤ë·Ð°Þ¤È¡¤º£¸å¤Î²ÝÂê¤ò¾Ò²ð¤¹¤ë¡¥


¥»¥Ã¥·¥ç¥ó D2-3 Î¥»¶ºÇŬ²½
Æü»þ: 2014ǯ8·î5Æü(²Ð) 13:30-14:45
Éô²°: 405¼¼
ºÂĹ: ºä´¬ ·Ä¹Ô (Åì¼Ç)

D2-3-1 (»þ´Ö: 13:30 - 13:55)
Âê̾¶áÀܺÇŬÀ­¤ÎÄêÎÌŪɾ²Á¤Ë´ð¤Å¤¯Áȹ礻ºÇŬ²½¼êË¡
Ãø¼Ô ¡ý¿¹ÅÄ ¿¿±Ñ, Åļ ·ò°ì, °ÂÅÄ ·Ã°ìϺ (¼óÅÔÂç³ØÅìµþÂç³Ø±¡)
Pagepp. 469 - 474
Keyword Áȹ礻ºÇŬ²½, ¥á¥¿¥Ò¥å¡¼¥ê¥¹¥Æ¥£¥¯¥¹, ¶áÀܺÇŬÀ­¸¶Íý, ½¸Ãæ²½, ¿ÍͲ½
AbstractIn this paper, we proposed a new meta-heuristics for combinatorial optimization problems. Proximate Optimality Principle¡ÊPOP¡Ë is experientially known that it holds for many combinatorial optimization problems. But, even macro point of view such as problem structure and micro point of view such as each region of the solution space, a degree of the establishment of POP is most likely different. We define nature that ¡Ègood solution posses some similar structure ¡Éas Proximate Optimality. And we proposed combinatorial optimization method based on quantitative evaluation of proximate optimality. We verify search performance with various benchmark problems.

D2-3-2 (»þ´Ö: 13:55 - 14:20)
Âê̾Soft Tabu Search for Solving Quadratic Assignment Problems
Ãø¼Ô ¡û¾¾±º δʸ, ÃÓ¸ý Ű (ÅìµþÍý²ÊÂç³Ø)
Pagepp. 475 - 479
Keyword Tabu Search, Quadratic Assignment Problem, Combinatorial Optimization Problem, Heuristic Method, Soft Tabu Search
AbstractTo find good near optimal solutions of NP-hard combinatorial optimization problems, many meta-heuristic approaches are proposed, for example the simulated annealing and the genetic algorithm, tabu search method. We have already proposed a soft tabu search method. In this paper, to investigate searching ability of the soft tabu search, we propose a new method by using the soft tabu search for solving quadratic assignment problem. As a result, the soft tabu search shows also higher performance than the tabu search.

D2-3-3 (»þ´Ö: 14:20 - 14:45)
Âê̾»ñ¸»À©ÌóÉÕ¤­¥×¥í¥¸¥§¥¯¥È¥¹¥±¥¸¥å¡¼¥ê¥ó¥°ÌäÂê¤ÈÇ®½èÍý¹©Äø¤Ø¤ÎŬÍÑ
Ãø¼Ô µÈÅÄ ÃÒ»Ö, ¡ûµÜËÜ ½Ó¹¬ (ÂçºåÂç³Ø), ¿¹ °ìÇ·, Ë̼ À»°ì, Àô°æ ÎÉÉ× (»°É©Åŵ¡³ô¼°²ñ¼Ò)
Pagepp. 480 - 485
Keyword ¾Ê¥¨¥Í¥ë¥®¡¼, »ñ¸»À©ÌóÉÕ¤­¥×¥í¥¸¥§¥¯¥È¥¹¥±¥¸¥å¡¼¥ê¥ó¥°ÌäÂê, À©Ìó¥×¥í¥°¥é¥ß¥ó¥°
AbstractIn terms of energy consumption, environment surrounding the manufacturing industries has become considerably strict. Therefore, we aim to develop energy-saving technologies by considering the energy consumption at the production facility in detail. In this paper, we propose a Resource Constrained Project Scheduling Problem(RCPSP/πτRC) that can deal with energy consumption varying with time, energy constraints such as energy consumption during peak hours, and energy consumption during the setup operations; we consider an application of RCPSP/πτRC to scheduling problem of a heat-treatment process. We propose a way of describing the heat-treatment process with RCPSP/πτRC. Experimental results show that RCPSP/πτRC is effective for minimizing of energy consumption in the heat-treatment process.