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Keyword ÇÏÄý·Á, µ­¹æÎϳطÏ, ¥«¥ª¥¹À©¸æ
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An1-1-2 (»þ´Ö: 9:40 - 10:05)
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Pagepp. 7 - 11
Keyword ¥Î¥ó¥³¥Ò¡¼¥ì¥ó¥È¥«¥ª¥¹ÄÌ¿®¥·¥¹¥Æ¥à, ¿ÃÍÊÑÄ´Êý¼°, ¥«¥ª¥¹¥À¥¤¥Ê¥ß¥¯¥¹
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Keyword ¥«¥ª¥¹, ¥¹¥È¥ê¡¼¥à°Å¹æ, ¸ÇÄê¾®¿ôÅÀ±é»», ÈëÌ©ÄÌ¿®, ¥ê¥¢¥×¥Î¥Õ»Ø¿ô
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Keyword Áê¸ß·ë¹çƱ´ü, ¶¦Ḁ̈Υ¤¥ºÆ±´ü, ¥«¥ª¥¹¿¶Æ°»Ò, ¼þ´ü¿¶Æ°»Ò
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Keyword ·ë¹çȯ¿¶´ï, ³µ¼þ´ü¿¶Æ°, Á«°Ü¸½¾Ý
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Keyword ȯ¿¶´ï, ¥Ñ¥ë¥¹·ë¹ç·Ï, ¥¹¥Ñ¥¤¥¯Îó
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An1-3-1 (»þ´Ö: 13:15 - 13:40)
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Keyword ·ë¹ç¥«¥ª¥¹²óÏ©, ¥¯¥é¥¹¥¿¥ê¥ó¥°
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Pagepp. 39 - 42
Keyword ¥«¥ª¥¹

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Pagepp. 43 - 47
Keyword ȯ¿¶´ï, ¥«¥ª¥¹, ʬ´ô
AbstractËܹƤǤϥ«¥ª¥¹È¯À¸²óÏ©¤Î°ì¤Ä¤Ç¤¢¤ë¥«¥ª¥¹¥¹¥Ñ¥¤¥­¥ó¥°È¯¿¶´ï¤Î²óÏ©¼ÂÁõ¤ò¹Ô¤¦¡£Æ±È¯¿¶´ï¤ÏÉä¹æ´Ø¿ô¤ò»ý¤Ä£²¤Ä¤ÎÈóÀþ·ÁÅÅ°µÀ©¸æÅÅή¸»(VCCS)¡¢£²¤Ä¤Î¥­¥ã¥Ñ¥·¥¿¤ÈÄñ¹³¡¢¥¹¥¤¥Ã¥Á¤È¥Ù¡¼¥¹ÅÅ°µ¸»¤Ç¹½À®¤µ¤ì¤Æ¤¤¤ë¡£Ìµ¼¡¸µ²½¤µ¤ì¤¿²óÏ©ÊýÄø¼°¤è¤ê¸·Ì©²ò¤òµá¤á¤ë¤³¤È¤¬¤Ç¤­¤ë¡£·Ï¤Î¥Ñ¥é¥á¡¼¥¿¤òÊѲ½¤µ¤»¤ë¤³¤È¤Ç¡¢¥­¥ã¥Ñ¥·¥¿ÅÅ°µ¤Ï¼þ´ü¤ä¥«¥ª¥¹Åª¤Ê±þÅú¤ò¤¹¤ë¡£¤³¤ì¤é¤Î¸½¾Ý¤ò£±¼¡¸µ¥Þ¥Ã¥×¤òÍѤ¤¤Æ¹Í»¡¤¹¤ë¡£¤Þ¤¿¼ÂÁõ²óÏ©¥â¥Ç¥ë¤òÄó°Æ¤·¡¢ÂåɽŪ¤Ê¸½¾Ý¤Ë¤Ä¤¤¤Æ³Îǧ¤ò¹Ô¤¦¡£


¥»¥Ã¥·¥ç¥ó An1-4 γ»Ò·²ºÇŬ²½Ë¡
Æü»þ: 2013ǯ7·î29Æü(·î) 14:45-16:00
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An1-4-1 (»þ´Ö: 14:45 - 15:10)
Âê̾¼«Î©¿´¤ò»ý¤Äγ»Ò·²ºÇŬ²½¤Ë¤è¤ë·×»»Î̺︺ˡ¤ÎÄó°Æ
Ãø¼Ô ¡û¾¾²¼ ½ÕÆà (¹áÀîÂç³Ø)
Pagepp. 48 - 53
Keyword γ»Ò·²ºÇŬ²½¡ÊPSO¡Ë, ÈóÀþ·ÁºÇŬ²½, ·×»»Î̺︺

An1-4-2 (»þ´Ö: 15:10 - 15:35)
Âê̾γ»Ò·²ºÇŬ²½Ë¡¤Î»²¾È°ÌÃ֤ˤè¤ë²òõº÷À­Ç½
Ãø¼Ô ¡ý¿ÊÆ£ ÂîÌé (ÆüËܹ©¶ÈÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²ÊÅŵ¤¹©³ØÀ칶), ¿ÀÌî ·òºÈ (ÆüËܹ©¶ÈÂç³Ø)
Pagepp. 54 - 59
Keyword γ»Ò·²ºÇŬ²½Ë¡, PSO, »²¾È°ÌÃÖ, ºÇ°­ÃÍ
Abstractγ»Ò·²ºÇŬ²½Ë¡(PSO) ¤Ë¤ª¤±¤ë¡¤Î³»Ò¤Î°Üư®Å٤Ȳòõº÷Êý¸þ¤Ï¡¤¤½¤Îγ»Ò¤¬²áµî¤ËÆÀ¤¿ºÇÎÉ°ÌÃÖ¡¤Î³»Ò¤Î·²¤ì¤¬»ý¤ÄºÇÎÉ°ÌÃÖ¡¤¤½¤ì¤¾¤ì¤Î°ÌÃÖ¤ò»²¾È¤¹¤ë¤³¤È¤Ë¤è¤Ã¤Æ·èÄꤵ¤ì¤ë¡¥¤³¤ÎÍͤʡ¤½¾Íè¤ÎPSO ¤Ç¤Ï·²¤ì¤¬¡¤¤¢¤ë°ÌÃ֤˼ý«¤·¡¤Â®ÅÙ¤¬ÆÀ¤é¤ì¤Ê¤¯¤Ê¤ë¤È²òõº÷¤¬ÄäÂÚ¤¹¤ë¡¥¤½¤³¤Ç¡¤²òõº÷¤ÎÄäÂÚ»þ¤ËºÇÎÉ°ÌÃÖ¤À¤±¤Ç¤Ï¤Ê¤¯¡¤ºÇ°­Ãͤò»²¾È¤¹¤ë¤³¤È¤Ç¡¤Î³»Ò¤ò²Ã®¤¹¤ë¤³¤È¤Ë¤è¤Ã¤Æ²òõº÷À­Ç½¤ò¸þ¾å¤µ¤»¤ë¼êË¡¤òÄó°Æ¤¹¤ë¡¥

An1-4-3 (»þ´Ö: 15:35 - 16:00)
Âê̾¶É½êÀ®Ä¹µ¡¹½¤òÍ­¤¹¤ëγ»Ò·²ºÇŬ²½Ë¡
Ãø¼Ô ¡ýº´Æ£ Âó³¤, ´Ý»³ °ìµª, ºØÆ£ ÍøÄÌ (Ë¡À¯Âç³Ø)
Pagepp. 60 - 63
Keyword ºÇŬ²½, PSO, γ»Ò·²ºÇŬ²½


¥»¥Ã¥·¥ç¥ó Ba1-1 Í×ÁDzóÏ©
Æü»þ: 2013ǯ7·î29Æü(·î) 9:15-10:30
Éô²°: 301B¼¼
ºÂĹ: ×¢À¥ ůÌé (¿À¸ÍÂç³Ø)

Ba1-1-1 (»þ´Ö: 9:15 - 9:33)
Âê̾»þ´ÖÎΰè¤Ø¤ÎÂпôÊÑ´¹¤òÍѤ¤¤¿A/DÊÑ´¹´ï¤Î¸¦µæ
Ãø¼Ô ¡ý¿ù¿¹ ͧºö (ÀÄ»³³Ø±¡Âç³ØÂç³Ø±¡ Íý¹©³Ø¸¦µæ²Ê), °æ²¬ تÍý (ÀÄ»³³Ø±¡Âç³Ø Íý¹©³ØÉô), ¾¾Ã« ¹¯Ç· (ÀÄ»³³Ø±¡Âç³ØÂç³Ø±¡ Íý¹©³Ø¸¦µæ²Ê)
Pagepp. 64 - 67
Keyword ¥é¥Ã¥Á¥É¥³¥ó¥Ñ¥ì¡¼¥¿, ADC, Âпô¥¢¥ó¥×
Abstract¶áǯ¡¢LSI¥×¥í¥»¥¹µ»½Ñ¤ÎÈùºÙ²½¤Ë½¾¤¤¡¢A/DÊÑ´¹´ï¤ÎÅŸ»ÅÅ°µ¤ÎÄãÅÅ°µ²½¤Ë¤è¤ëÄã¾ÃÈñÅÅÎϲ½¤¬¿Ê¤ó¤Ç¤¤¤ë¡£¤·¤«¤·¡¢ÅŸ»ÅÅ°µ¤ÎÄã²¼¤Ë¤è¤êÆþÎÏ¥À¥¤¥Ê¥ß¥Ã¥¯¥ì¥ó¥¸¤¬¸º¾¯¤·¡¢ÅÅ°µ¼´¾å¤Ç¤ÎºÙ¤«¤¤Î̻Ҳ½¤¬Áˤޤì¤Æ¤¤¤ë¡£¤½¤Î¤¿¤á¡¢ÅÅ°µ¿®¹æ¤ò»þ´ÖÎΰè¤ØÊÑ´¹¤·¥Ð¡¼¥Ë¥¢·¿TDC¤òÍѤ¤¤ÆÎ̻Ҳ½¤¹¤ë¼êË¡¤¬ÃíÌܤµ¤ì¤Æ¤¤¤ë¡£¤·¤«¤·¡¢¥Ð¡¼¥Ë¥¢·¿TDC¤Ïʬ²òǽ¤Ë±þ¤¸¤ÆDFF¤Î¿ô¤¬ÁýÂ礹¤ë·çÅÀ¤¬¤¢¤ë¡£ ¤½¤³¤ÇËܸ¦µæ¤Ç¤Ï¡¢ÂпôÆÃÀ­¤ËÃåÌܤ·¡¢¿¶Éý¤ÎÂ礭¤¤¿®¹æ¤ÏÊÑ´¹ÀºÅÙ¤òÄ㤯¡¢¿¶Éý¤Î¾®¤µ¤¤¿®¹æ¤ÏÊÑ´¹ÀºÅÙ¤ò¹â¤¯¤·¤¿¡£¤³¤ì¤Ë¤è¤ê¡¢8[bit]ʬ²òǽ¤ÎTDC¤òÍѤ¤¤ÆºÇÂç23.4[bit]¤Îʬ²òǽ¤¬ÆÀ¤é¤ì¤ë¤³¤È¤ò¼¨¤·¤¿¡£

Ba1-1-2 (»þ´Ö: 9:33 - 9:51)
Âê̵̾ÀþÄÌ¿®ÂÓ°è¤Î´ðÈÄ·ë¹çɾ²Á¤Ë¸þ¤±¤¿¥Þ¥ë¥Á¥È¡¼¥ó¥Î¥¤¥ºÈ¯À¸²óÏ©
Ãø¼Ô ¡ýÅçºê ½Ó²ð, ËêÅÄ Å¯Ìé, Åì ľÌð, ±ÊÅÄ ¿¿ (¿À¸ÍÂç³ØÂç³Ø±¡¥·¥¹¥Æ¥à¾ðÊó³Ø¸¦µæ²Ê)
Pagepp. 68 - 72
Keyword ´ðÈĥΥ¤¥º
Abstract¶áǯ¡¤°ÜÆ°ÂÎÄÌ¿®ÍÑLSI¤Ë¤ª¤¤¤Æ¡¤IF¤Î¥Ç¥¸¥¿¥ë²½¤äÀ©¸æ²óÏ©¤ÎÆ⢲½¤Ëȼ¤¤¥Á¥Ã¥×Æâ¤Î¥Ç¥¸¥¿¥ë²óÏ©¤Î³ä¹ç¤¬³ÈÂ礷¤Ä¤Ä¤¢¤ë. ¤·¤«¤·¡¤¥Ç¥¸¥¿¥ë²óÏ©¤Ï¥·¥ê¥³¥ó´ðÈĤÈÇÛÀþ´Ö¤Î´óÀ¸ÍÆÎ̤ʤɤǷë¹ç¤·¡¤´ðÈÄ¥¤¥ó¥Ô¡¼¥À¥ó¥¹¤ò²ð¤·¤ÆRF¼õ¿®¥Õ¥í¥ó¥È¥¨¥ó¥É¤Ë¥Î¥¤¥º¤òή¤·¤Æ¤·¤Þ¤¦. ¤³¤ÎÌäÂ꤫¤é¡¤¥Ç¥¸¥¿¥ë²óÏ©¤Î¥Î¥¤¥º²òÀÏ¡¤RF²óÏ©¤Ø¤Î´ðÈĥΥ¤¥º¤Î·ë¹ç¥á¥«¥Ë¥º¥à¤Î²òÌÀ¡¤Âкö¼êË¡¤¬É¬ÍפȤµ¤ì¤Æ¤¤¤ë¡¥ ¤½¤³¤ÇËܹƤǤϡ¤¥Ç¥¸¥¿¥ë²óÏ©¤Î¥Î¥¤¥º²òÀϤǼÂÀӤΤ¢¤ëÍÆÎ̽¼ÅÅ¥â¥Ç¥ë¤ÈǤ°Õ»¨²»È¯À¸²óÏ©¤ò´ð¤ËÊ£¿ô¤Î¼þÇÈ¿ô¥É¥á¥¤¥ó¤Î¥Î¥¤¥º¤òȯÀ¸¤µ¤»¤ë¥Þ¥ë¥Á¥È¡¼¥ó¥Î¥¤¥ºÈ¯À¸²óÏ©¤òÄó°Æ¤·¡¤»îºî¥Á¥Ã¥×¤Ø¤Î¼§³¦¥×¥í¡¼¥Ö¤òÍѤ¤¤¿¥Î¥¤¥ºÂ¬Äê¤Ë¤Ä¤¤¤ÆÊó¹ð¤¹¤ë¡¥

Ba1-1-3 (»þ´Ö: 9:51 - 10:09)
Âê̾´ðÈĥХ¤¥¢¥¹¸ú²Ì¤òÍøÍѤ·¤¿¼åȿžÎΰèÆ°ºîÄãGmÀþ·ÁOTA¤Î°ì¹½À®Ë¡
Ãø¼Ô ¡ýÂçÊ¥ Éð»Ë, ¾¾¸µ ƣɧ (ËɱÒÂç³Ø¹»)
Pagepp. 73 - 78
Keyword ¥¢¥Ê¥í¥°½¸ÀѲóÏ©, ¥È¥é¥ó¥¹¥³¥ó¥À¥¯¥¿, ¼åȿžÎΰè, ÄãÅÅÎϲóÏ©, ´ðÈĥХ¤¥¢¥¹¸ú²Ì
AbstractËܹƤǤϡ¢°åÎŵ¡´ï¤Ø¤Î±þÍѤò¹Í¤¨¤¿Äã¼þÇÈ¥Õ¥£¥ë¥¿¤Î¹½À®¤ËɬÍפȤʤë¼åȿžÎΰèÆ°ºîÄãGm Àþ·Á¥È¥é¥ó¥¹¥³¥ó¥À¥¯¥¿¤òÄó°Æ¤¹¤ë¡£Àþ·ÁÀ­²þÁ±¤Î¤¿¤á¤Ë¿·¤¿¤Ê¥È¥é¥ó¥¸¥¹¥¿¤òÄɲ乤ë¤È¾ÃÈñÅÅÎϤ¬Áý¤¨¤ë¤¿¤á¡¢Äó°Æ¼êË¡¤Ç¤ÏÆþÎϥȥé¥ó¥¸¥¹¥¿¤Î¤·¤­¤¤ÃÍÅÅ°µ¤ò´ðÈĥХ¤¥¢¥¹¸ú²Ì¤Ë¤è¤êÆþÎÏÅÅ°µ¤ÎÊѲ½¤Ë¤È¤â¤Ê¤¤ÊѲ½¤µ¤»¤ë¤³¤È¤ÇÀþ·Á²½¤ò¤¹¤ë¡£Äó°Æ²óÏ©¤ÎÂÅÅöÀ­¤ò¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤ê³Îǧ¤¹¤ë¡£¤½¤Î·ë²Ì¡¢½¾Íè²óÏ©¤ÈÈæ³Ó¤·¤ÆÀþ·ÁÆþÎÏÈϰϤ¬1.9ÇÜÄøÅ٤Ȥʤꡢ¾ÃÈñÅÅÎϤÏ80%ÄøÅ٤Ȥʤä¿¡£¥È¥é¥ó¥¹¥³¥ó¥À¥¯¥¿¥ó¥¹¤Î¼þÇÈ¿ôÆÃÀ­¤Ï°­²½¤·¤Æ¤ª¤é¤º¡¢100 Hz ¤ÎÀµ¸¹ÇȤòÆþÎϤ·¤¿ºÝ¤ÎTHD¤Ï¿¶Éý0.15 V¤Þ¤Ç¤Ï-40 dB°Ê²¼¤Ç¤¢¤Ã¤¿¡£°Ê¾å¤Î¥·¥ß¥å¥ì¡¼¥·¥ç¥ó·ë²Ì¤è¤êÄó°Æ²óÏ©¤ÎÍ­ÍÑÀ­¤ò³Îǧ¤Ç¤­¤¿¡£

Ba1-1-4 (»þ´Ö: 10:09 - 10:27)
Âê̾A Linearity Bootstrapped Switch with Dynamic Bulk Biasing Design
Ãø¼Ô ¡ýGong Chen, Yu Zhang, Mingyu Li, Qing Dong, Shigetoshi Nakatake (The University of Kitakyushu)
Pagepp. 79 - 82
Keyword bootstrapped switch, bulk compensation, charge injection
AbstractThis paper presents an improved linearity bootstrapped switch architecture based on the conventional design. Improper over-charging could lead the gate-source or gate-drain voltages of transistors to exceed the rated supply voltage, and thus driving transistors out of reliability limits. In this work, we report a dynamic bulk biasing circuit and a reliable clock doubling circuit for the purpose of improving the linearity performance of a bootstrapped switch in Analog-to-Digital converter (ADC). The bootstrapped switch is simulated in 65nm triple well CMPS technology. The simulation results demonstrate that the linearity with rail to rail swing can be achieved with an intended differential input signal. The signal-to-noise distortion ratio (SNDR) is 59.85 dB with input frequency of 21 MHz and sampling clock of 65 MHz, of which approaches to equivalent 9.6-bit linearity.


¥»¥Ã¥·¥ç¥ó Ba1-2 ¾·ÂԹֱ顧¼¡À¤Âå¥Á¥Ã¥×´ÖÄÌ¿®
Æü»þ: 2013ǯ7·î29Æü(·î) 10:45-12:00
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Ba1-2-1 (»þ´Ö: 10:45 - 12:00)
Âê̾(¾·ÂÔ) »°¼¡¸µÀÑÁØ¥Á¥Ã¥×´Ö¤ò´Ó¤¯ÌµÀþTSV¡ÁThruChip Interface¡Á
Ãø¼Ô ¡û»°±º ŵǷ (¿À¸ÍÂç³Ø)
Pagepp. 83 - 88
Keyword »°¼¡¸µ½¸ÀÑ, ͶƳ·ë¹ç, ÀÑÁØ¥Á¥Ã¥×´ÖÄÌ¿®
AbstractLSIÈùºÙ²½¤Ë¸Â³¦¤¬¸«¤¨»Ï¤á¤¿¶áǯ¡¢¥Á¥Ã¥×¤ò½Å¤Í¤ë»°¼¡¸µ½¸ÀѤ¬ÃíÌܤµ¤ì¤Æ¤¤¤ë¡£TSV¤Ï¡¢¥Á¥Ã¥×´ÓÄÌÅŶˤˤè¤ëÀÑÁØ¥Á¥Ã¥×´ÖÄÌ¿®µ»½Ñ¤Ç¤¢¤ë¡£ThruChip Interface (TCI)¤Ï¡¢Ä㥳¥¹¥È¤Î̵ÀþÈÇTSV¤Ç¤¢¤ë¡£¥³¥¤¥ë´Ö¤ÎͶƳ·ë¹ç¤òÍøÍѤ·¤Æ¡¢ÀÑÁØ¥Á¥Ã¥×´Ö¤ÇÄÌ¿®¤¹¤ë¡£¥³¥¤¥ë¤Ï¡¢´û¸¤ÎLSIÇÛÀþ¤Ç·ÁÀ®¤Ç¤­¡¢ÄÉ²Ã¥×¥í¥»¥¹¡¦¥³¥¹¥È¤¬ÉÔÍפǤ¢¤ë¡£¤Þ¤¿¡¢LSI¤ÎÊݸîËì²¼¤Ë·ÁÀ®¤µ¤ì¡¢³°Éô¤È¤ÎʪÍýŪÀÜ¿¨¤¬¤Ê¤¯¡¢ÀÅÅŵ¤Âкö¤ò¾Êά¤Ç¤­¤ë¡£¥Á¥ã¥Í¥ë¤ÎÉé²Ù¤¬Ä㸺¤µ¤ì¡¢ÌµÀþ¤È¤Ï¤¤¤¨¡¢Í­Àþ¤ÎTSV¤ÈƱÅù¤ÎÀ­Ç½¤¬ÆÀ¤é¤ì¤ë¡£¤µ¤é¤ËÍ­ÀþÄÌ¿®Ê¬Ìî¤ÇÇݤï¤ì¤¿²óÏ©µ»½Ñ¤È¤ÎÍ»¹ç¤Ç¡¢¹¹¤Ê¤ëÀ­Ç½²þÁ±¤¬²Äǽ¤Ç¤¢¤ë¡£Ëֱܹé¤Ç¤Ï¡¢TCI¤Î´ðÁ䫤é±þÍѤޤǤò¡¢³«È¯¤ÎÎò»Ë¤Ë¿¨¤ì¤Ê¤¬¤é¡¢ºÇ¿·¤Î¸¦µæÀ®²Ì¤È¤È¤â¤ËÂηÏŪ¤Ë¾Ò²ð¤¹¤ë¡£


¥»¥Ã¥·¥ç¥ó As1-3 ¼¡À¤Âå²óÏ©¥â¥Ç¥ë
Æü»þ: 2013ǯ7·î29Æü(·î) 13:30-14:30
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As1-3-1 (»þ´Ö: 13:30 - 14:30)
Âê̾(¾·ÂÔ) ¼¡À¤Âå²óÏ©¥â¥Ç¥ë¤ò¤±¤ó°ú¤¹¤ëHiSIM¡§¤É¤³¤Þ¤Ç¤Ç¤­¤ë
Ãø¼Ô ¡û»°±º Æ»»Ò (¹­ÅçÂç³ØÀèüʪ¼Á²Ê³Ø¸¦µæ²Ê¡¢HiSIM¸¦µæ¥»¥ó¥¿¡¼)
Pagepp. 89 - 89
Keyword ²óÏ©¥â¥Ç¥ë, HiSIM, ¥Ý¥Æ¥ó¥·¥ã¥ë¥â¥Ç¥ë, ¥Ç¥Ð¥¤¥¹ÊªÍý, ²óÏ©¥·¥ß¥å¥ì¡¼¥·¥ç¥ó
Abstract²óÏ©À߷פؤÎÍ׵ᡦ´üÂÔ¤¬¹â¤Þ¤ë¤ËÏ¢¤ì¤Æ¡¤²óÏ©¥â¥Ç¥ë¤Î½ÅÍ×À­¤¬Áý¤·¤Æ¤­¤Æ¤¤¤ë¡¥ ¤³¤Î¤è¤¦¤Ê¾õ¶·¤ÎÃæ¤Ç¡¤¥â¥Ç¥ë¥Ñ¥é¥á¥¿¤òƳÆþ¤¹¤ë¤³¤È¤Ë¤è¤Ã¤Æ¥Õ¥£¥Ã¥Æ¥£¥ó¥°ÀºÅÙ¤ò¸þ¾å¤µ¤»¤Æ¤­¤¿BSIM¤ËÂåɽ¤µ¤ì¤ë¡¤¤·¤­¤¤ÃÍÅÅ°µ¤òÍѤ¤¤¿¥â¥Ç¥ëµ­½Ò¤«¤é¡¤ ¸¶Íý¤ËÃé¼Â¤Ê¥Ý¥Æ¥ó¥·¥ã¥ëµ­½Ò¤Ø¤Î¥·¥Õ¥È¤¬µ¯¤­¤Æ¤­¤¿¡¥ ¤³¤ì¤ò¤±¤ó°ú¤·¤Æ¤­¤¿HiSIM¥â¥Ç¥ë¤Ë¤Ä¤¤¤Æ³µÍפòÀâÌÀ¤¹¤ë¡¥ ¤Þ¤¿´Ñ¬¤µ¤ì¤ëÍÍ¡¹¤Ê¸½¾Ý¤ÎͳÍè¤ò¥Ç¥Ð¥¤¥¹ÊªÍý¤Î´ÑÅÀ¤«¤é²òÀ⤹¤ë¡¥ bulk-MOSFET¤«¤émulti-gate MOSFET¤Î¤è¤¦¤Êµæ¶Ë¤ÎÇöË칽¤¡¤¤¢¤ë¤¤¤Ï¿·ºàÎÁ¥Ç¥Ð¥¤¥¹¤Ë¤Ä¤¤¤Æͽ¬¤µ¤ì¤ë¥Ç¥Ð¥¤¥¹ÆÃÀ­¤Î¸¶Íý¤Ë¤Ä¤¤¤Æ¤â¤Õ¤ì¤ë¡¥


¥»¥Ã¥·¥ç¥ó As1-4 ¥·¥ß¥å¥ì¡¼¥·¥ç¥óµ»½Ñ
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As1-4-1 (»þ´Ö: 14:45 - 15:10)
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Ãø¼Ô ¡ûÃæÎÓ ·¼»Ê (ÆàÎɸ©ÆàÎÉ»Ô)
Pagepp. 90 - 95
Keyword SPICE, ²½³ØÈ¿±þ, Ç®¥¨¥Í¥ë¥®¡¼¼ý»Ù, ʪ¼Á¼ý»Ù, Åù²Á²óÏ©¥â¥Ç¥ë
Abstract¥Ý¥ê¥¨¥Á¥ì¥ó¡¢¥Ý¥ê¥¹¥Á¥ì¥ó¤ä±ö²½¥Ó¥Ë¥ëÅù¤Î¥×¥é¥¹¥Á¥Ã¥¯¤Ï¡¢¥¹¥Á¥ì¥ó¡¦¥â¥Î¥Þ¡¼¤Î½Å¹çÈ¿±þ¤Ë¤è¤êÀ¸À®¤µ¤ì¤ë. ²æ¡¹¤Ï¥¹¥Á¥ì¥ó½Å¹çÈ¿±þ´ïÆâ¤Î²½³ØÈ¿±þ¸½¾Ý¤òÅù²Á²óÏ©¤È¤·¤Æ¥â¥Ç¥ë²½¤·¡¢²óÏ©¥·¥ß¥å¥ì¡¼¥¿SPICE¤Ç²òÀϤ¹¤ë¤³¤È¤Ë¤è¤ê¡¢È¿±þʪ¤ÎÇ»ÅÙÊѲ½¤ä²¹ÅÙÊѲ½¤òͽ¬¤¹¤ë²½³ØÈ¿±þ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¼êË¡¤òÄó°Æ¤¹¤ë. ½¾Íè¤Î²½³ØÈ¿±þ·×»»¥Ä¡¼¥ë¤Ë¤è¤ë²òÀÏ·ë²Ì¤ä¼Â¬¥Ç¡¼¥¿¤È¤ÎÈæ³Óɾ²Á¤ò¹Ô¤¤¡¢²æ¡¹¤ÎÄó°Æ¼êË¡¤ÎÍ­¸úÀ­¤òÌÀ¤é¤«¤Ë¤·¤¿.

As1-4-2 (»þ´Ö: 15:10 - 15:35)
Âê̾HSPICE¤ÎºÇŬ²½µ¡Ç½¤òÍѤ¤¤¿¥³¥ó¥Ñ¥ì¡¼¥¿²óÏ©¤Î¼«Æ°¹çÀ®
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Pagepp. 96 - 101
Keyword HSPICE, ºÇŬ²½, ¥³¥ó¥Ñ¥ì¡¼¥¿, ¼«Æ°¹çÀ®
Abstract½¸ÀѲóÏ©µ¬ÌϤÎÁýÂç¤Ë¤è¤ë³«È¯²áÄø¤ÎÊ£»¨²½¤ä³«È¯´ü´Ö¤Îû´ü²½Åù¤ÎÍ×µá¤Ë¤è¤ê¡¢¿Í¤Î¼ê¤Ë¤è¤ëÀ߷פ¬º¤Æñ¤È¤Ê¤Ã¤Æ¤¤¤ë¡£¤½¤³¤Ç¸½ºß¤Ç¤Ï¡¢¥³¥ó¥Ô¥å¡¼¥¿¤Ë¤è¤ë²óÏ©À߷פμ«Æ°²½¤ËÃíÌܤ¬½¸¤Þ¤Ã¤Æ¤¤¤ë¡£ËÜÏÀʸ¤ÇÄó°Æ¤¹¤ë¥³¥ó¥Ñ¥ì¡¼¥¿²óÏ©¤Î¼«Æ°¹çÀ®¤Ï¡¢¡Ö¥é¥ó¥À¥à¤Ë²óÏ©¥È¥Ý¥í¥¸¡¼¤ò¹çÀ®¢ª HSPICE ¤ÎºÇŬ²½µ¡Ç½¤òÍøÍѤ·¤¿²óÏ©¥Ñ¥é¥á¡¼¥¿¤Î·èÄꢪ²óÏ©À­Ç½¤Îɾ²Á¡×¤Î°ìÏ¢¤ÎÆ°ºî¤òJava ¸À¸ì¤òÍѤ¤¤Æ¥×¥í¥°¥é¥ß¥ó¥°¤·¡¢1¥¯¥ê¥Ã¥¯¤Ç¹Ô¤¦¡£

As1-4-3 (»þ´Ö: 15:35 - 16:00)
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Pagepp. 102 - 107
Keyword ¥Ñ¥ï¡¼¥¤¥ó¥Æ¥°¥ê¥Æ¥£²òÀÏ, SPICE, LIM
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Æü»þ: 2013ǯ7·î29Æü(·î) 9:10-10:30
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Bd1-1-1 (»þ´Ö: 9:10 - 9:30)
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Pagepp. 108 - 113
Keyword ¥í¥¹¥ì¥¹ÊÑ´¹, ¥ê¥Õ¥Æ¥£¥ó¥°Ê¬²ò
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Bd1-1-2 (»þ´Ö: 9:30 - 9:50)
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Pagepp. 114 - 119
Keyword ¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿, PSO, ³ÎΨŪºÇŬ²½
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Bd1-1-3 (»þ´Ö: 9:50 - 10:10)
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Pagepp. 120 - 125
Keyword 2¼¡¸µÈóʬΥÀþ·Á°ÌÁê¥Ñ¥é¥æ¥Ë¥¿¥ê¥Õ¥£¥ë¥¿¥Ð¥ó¥¯, Áȹþ¤ß¼ÂÁõ, ¿Ãʥĥ꡼¹½À®
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Bd1-1-4 (»þ´Ö: 10:10 - 10:30)
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Pagepp. 126 - 131
Keyword Äã°èÄ̲áÈùʬ´ï, IIR¥Õ¥£¥ë¥¿, ºÇÂç¶ËȾ·Â, Àµ¼ÂÀ­, 2¼¡·×²èÌäÂê
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Bd1-2-1 (»þ´Ö: 10:45 - 11:05)
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Pagepp. 132 - 137
Keyword ¥Þ¥¤¥¯¥í¥Û¥ó¥¢¥ì¡¼, PSO, ÏüÔÄÉÈø
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Bd1-2-2 (»þ´Ö: 11:05 - 11:25)
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Pagepp. 138 - 143
Keyword ¥Þ¥¤¥¯¥í¥Û¥ó¥¢¥ì¡¼, ¥Ö¥é¥¤¥ó¥É¥¤¥ó¥Ñ¥ë¥¹±þÅú¿äÄê, »Ä¶Á²¼²»¸»°ÌÃÖ¿äÄê, ľ´ÖÈæ
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Bd1-2-3 (»þ´Ö: 11:25 - 11:45)
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Pagepp. 144 - 149
Keyword »¨²»¥í¥Ð¥¹¥È²»À¼Ç§¼±, »¨²»¥â¥Ç¥ë, ¥Þ¥ë¥Á¥³¥ó¥Ç¥£¥·¥ç¥ó³Ø½¬
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Bd1-2-4 (»þ´Ö: 11:45 - 12:05)
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Pagepp. 150 - 155
Keyword ÏüÔǧ¼±, MFCC, ÊÑÄ´¼þÇÈ¿ô
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Bd1-3-1 (»þ´Ö: 13:30 - 13:50)
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Pagepp. 156 - 161
Keyword ¥Ù¡¼¥¹¥é¥¤¥óÊä½þ, ¥Ó¥Ã¥È¥¨¥é¡¼²þÁ±, ¥×¥ê¥³¡¼¥Ç¥£¥ó¥°, Ϣ³¸í¤ê·Ú¸º
Abstract¶áǯ¤Î¹â®¥¤¥ó¥¿¡¼¥Õ¥§¥¤¥¹µ»½Ñ¤ÇAC-coupling ¤Ï¹­¤¯ÍѤ¤¤é¤ìG bps Ķ¤Îɸ½à²½¥¤¥ó¥¿¡¼¥Õ¥§¥¤¥¹¤ä¹â®̵Àþµ»½Ñ¡¢¸÷¥¤¥ó¥¿¡¼¥³¥Í¥¯¥ÈÅù¤ÎÍÍ¡¹¤Ê¥¤¥ó¥¿¡¼¥Õ¥§¥¤¥¹²óÏ©¤ËÍѤ¤¤é¤ì¤Æ¤¤¤ë¡£AC-coupling ¤Ë¤è¤êÅŰ̺¹¤¬°Û¤Ê¤ë¾ì¹ç¤äÁ÷¼õ¿®²óÏ©¤ÎÅŵ¤Åª»ÅÍͤ¬°Û¤Ê¤ë¾ì¹ç¤Ç¤¢¤Ã¤Æ¤âľήÀ®Ê¬¤ò¥³¥ó¥Ç¥ó¥µ¤Ë¤è¤ê¼×ÃǤ·¸òήÀ®Ê¬¤Ç¾ðÊóÅÁ㤬²Äǽ¤È¤Ê¤ë°ìÊý¤Ç¡¢Ä¾Î®À®Ê¬¤¬ÊÑÆ°¤¹¤ë¥Ù¡¼¥¹¥é¥¤¥óÊÑÆ°¤ÎÌäÂ꤬ȯÀ¸¤¹¤ë¡£ËÜÏÀʸ¤Ç¤Ï¡¢¥ß¥êÇȤòÍѤ¤¤¿¥Þ¥ë¥ÁG-bit bpsÄÌ¿®¥·¥¹¥Æ¥à¤ÎÅÁÁ÷Ï©¤Ë¤ª¤±¤ë AC-coupling ¤Ëµ¯°ø¤¹¤ë¥Ù¡¼¥¹¥é¥¤¥óÊÑÆ°¤ÎÊä½þ¤ò¡¢¼õ¿®Â¦¤Î¥¨¥é¡¼ÄûÀµµ¡Ç½¤òÍøÍѤ·Á÷¿®¥Ù¡¼¥¹¥Ð¥ó¥É¦¤Ç¥¨¥é¡¼ÁÞÆþ¤¹¤ë¥×¥ê¥³¡¼¥Ç¥£¥ó¥°¤Ë¤è¤Ã¤Æ²ò·è¤¹¤ë¼êË¡¤Ë´Ø¤·¤Æ½Ò¤Ù¤ë¡£

Bd1-3-2 (»þ´Ö: 13:50 - 14:10)
Âê̾Simplified Compressed Sensing-Based Volterra Model for Broadband Wireless Power Amplifiers
Ãø¼Ô ¡ýMingyu Li, Gong Chen, Yu Zhang, Qing Dong, Shigetoshi Nakatake (The University of Kitakyushu)
Pagepp. 162 - 166
Keyword Behavioral model, power amplifiers, Volterra series, compressed sensing
AbstractIn this paper, a new compressed sensing (CS)-based Volterra behavioral model for broadband wireless power amplifiers (PAs) is proposed. Even though the many promising behavioral models have been proposed, more rigorous derivation and improvements in terms of model performance and computational complexity are needed. Furthermore, CS algorithms can restore sparse or compressed signals from measurements. For this reason, CS approach is attempted to tackle above problem. It is shown that a further reduction in model complexity can be achieved by applying CS algorithm to greedily select exactly which memory terms of Volterra model to use in the behavioral modeling. A Class-AB power amplifier excited by a 15-MHz 3-carrier WCDMA signal is tested to validate this approach. Experiment results show that by utilizing the memory-selective techniques, the proposed models for the PA outperform the conventional models with only a small number of parameters.

Bd1-3-3 (»þ´Ö: 14:10 - 14:30)
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Pagepp. 167 - 172
Keyword ¾ðÊó¥Ï¥¤¥Ç¥£¥ó¥°, LDPC, LLR
Abstract¶áǯ¡¤²èÁüÅù¤Ë¾ðÊó¤òËä¤á¹þ¤à¾ðÊó¥Ï¥¤¥Ç¥£¥ó¥°¤¬ÍÍ¡¹¤ÊʬÌî¤ÇÃíÌܤµ¤ì¤Æ¤¤¤ë¡¥ ¾ðÊó¥Ï¥¤¥Ç¥£¥ó¥°¤Î·çÅÀ¤Ç¤¢¤ë¸¶²èÁü¤ÎÎô²½¤Ï¡¤°åÎÅʬÌîÅù¤Ç¤Ï»ö¸Î¤äÌäÂê¤È¤Ê¤ë¤¿¤á¸¶²èÁü¤ËÉü¸µ¤Ç¤­¤ë²ÄµÕÀ­¤¬É¬ÍפǤ¢¤ë¡¥¤·¤«¤·¡¤´û¸¤Î²ÄµÕÀ­¤òÍ­¤¹¤ë¾ðÊó¥Ï¥¤¥Ç¥£¥ó¥°¤ÏËä¤á¹þ¤ß¸å²èÁü¤ËÊѲ½¤¬¤¢¤ë¤È²ÄµÕÀ­¤ÏÍ­¤¹¤ë¤³¤È¤¬¤Ç¤­¤Ê¤¤¡¥ ¤½¤³¤Ç¡¤ËÜÏÀʸ¤Ç¤ÏËä¤á¹þ¤ß¸å²èÁü¤ÎÊѲ½¤Ë¤è¤é¤º¡¤²ÄµÕÀ­¤ò¼Â¸½¤¹¤ë¼êË¡¤òÄó°Æ¤¹¤ë¡¥Äó°Æ¼êË¡¤Ë¤ÏLDPCÉä¹æ¤òÍѤ¤¡¤²ÄµÕÀ­¤ò»ý¤¿¤Ê¤¤¼êË¡¤Ë¤â²ÄµÕÀ­¤òÉղ乤롥·×»»µ¡¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤ê¡¤Èó²ÄµÕÀ­¤Î¾ðÊó¥Ï¥¤¥Ç¥£¥ó¥°¤ËÂФ·¤Æ²ÄµÕÀ­¤òÉղäǤ­¤ë¤³¤È¤ÈËä¤á¹þ¤ß¸å²èÁü¤ËÊѲ½¤¬¤¢¤Ã¤¿¾ì¹ç¤Ë¤â²ÄµÕÀ­¤òÍ­¤¹¤ë¤³¤È¤ò¼¨¤·¤¿¡¥


¥»¥Ã¥·¥ç¥ó Bd1-4 ¾·ÂÔ¹Ö±é
Æü»þ: 2013ǯ7·î29Æü(·î) 14:45-16:00
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Bd1-4-1 (»þ´Ö: 14:45 - 16:00)
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Pagepp. 173 - 178
Keyword ¿®¹æ½èÍý, OFDM, MIMO, MU-MIMO
Abstract¸½Âå¤Î̵ÀþÄÌ¿®¥·¥¹¥Æ¥à¤Ç¤Ï¡¢¥¹¥Þ¡¼¥È¥Õ¥©¥ó¤ÎÇúȯŪ¤ÊÉáµÚ¤Ë¤è¤ë¥È¥é¥Ã¥Õ¥£¥¯¤ÎµÞ·ã¤ÊÁýÂç¤ËÂбþ¤¹¤Ù¤¯¡¢¼¡À¤ÂåLTE-Advanced¤ä¼¡À¤Âå̵ÀþLAN IEEE802.11ac¤Ê¤É1Gbps°Ê¾å¤òĶ¤¨¤ëĶ¹â®¥Ç¡¼¥¿ÄÌ¿®¤Î¼Â¸½¤¬É¬¿Ü¤È¤Ê¤Ã¤Æ¤­¤Æ¤¤¤ë¡£ËÜ¥Á¥å¡¼¥È¥ê¥¢¥ë¤Ç¤Ï¡¢¤³¤¦¤·¤¿Ä¶¹â®¥Ç¡¼¥¿ÄÌ¿®¤ò¼Â¸½¤¹¤ëµ»½Ñ¤Ç¤¢¤ëMIMOÄÌ¿®Êý¼°¤Ë¤Ä¤¤¤Æ³µÀ⤹¤ë¡£¤Þ¤º¡¢¥Ç¥£¥¸¥¿¥ëÄÌ¿®¥·¥¹¥Æ¥à¤äOFDMÊÑÄ´¤Ë¤Ä¤¤¤Æ´Êñ¤ËÉü½¬¤·¡¢¼¡¤¤¤ÇËÜÂê¤Ç¤¢¤ëMIMO¥Ç¥³¡¼¥À¤ª¤è¤Ó¥Þ¥ë¥Á¥æ¡¼¥¶MIMOÄÌ¿®Êý¼°¤Î¸¶Íý¤«¤é¼ÂÁõµ»½Ñ¤Þ¤Ç¿®¹æ½èÍý¤Î´ÑÅÀ¤«¤éʬ¤«¤ê¤ä¤¹¤¯ÀâÌÀ¤¹¤ë¡£


¥»¥Ã¥·¥ç¥ó C1-2 ¥·¥¹¥Æ¥àÀß·×
Æü»þ: 2013ǯ7·î29Æü(·î) 10:45-12:00
Éô²°: 405¼¼
ºÂĹ: ²£Àî ÃÒ¶µ (²¬»³¸©Î©Âç³Ø)

C1-2-1 (»þ´Ö: 10:45 - 11:10)
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Pagepp. 179 - 184
Keyword ¹â®½èÍý, ½ÀÆðÀ­, ¥×¥í¥È¥³¥ë½èÍý²óÏ©
Abstract¶áǯ¤ÎÄÌ¿®¥È¥é¥Ò¥Ã¥¯¤ÎÇúȯŪ¤ÊÁý²Ã¤ÈÄÌ¿®¥µ¡¼¥Ó¥¹¤Î¿ÍͲ½¤Ë¤è¤ê¡¢ÄÌ¿®ÍÑ£Ó£ï£Ã¤Ë¤ÏÂçÎ̤Υȥé¥Ò¥Ã¥¯¤ò½èÍý¤¹¤ë¹â®½èÍýÀ­¤È¡¢Â¿Íͤʥµ¡¼¥Ó¥¹¤ØÂбþ¤Ç¤­¤ë½ÀÆðÀ­¤ÎξΩ¤¬¶¯¤¯µá¤á¤é¤ì¤Æ¤¤¤ë¡£ËܹƤǤϡ¢¥Ï¡¼¥É¥¦¥§¥¢¤ÎºÆÀ߷פò¤¹¤ë¤³¤È¤Ê¤¯¥×¥í¥È¥³¥ë½èÍý¤¬ÄɲäǤ­¤ë½ÀÆðÀ­¤È¹â®½èÍýÀ­¤òξΩ¤µ¤»¤ëÄÌ¿®À©¸æ½èÍý¤ËÆò½¤·¤¿¥×¥í¥°¥é¥Þ¥Ö¥ë²óÏ©¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤òÄó°Æ¤·¤¿¡£Äó°Æ¤·¤¿¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤Ë¤Ä¤¤¤Æ¡¢¥â¥Ç¥ê¥ó¥°¤È¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤ò¼Â¹Ô¤¹¤ë¤³¤È¤Ë¤è¤ê¡¢¤½¤ÎÍ­¸úÀ­¤ò³Îǧ¤·¤¿¡£

C1-2-2 (»þ´Ö: 11:10 - 11:35)
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Pagepp. 185 - 190
Keyword high-level synthesis, multiple clock domain, interconnection delay, energy-efficient design
AbstractËܹƤǤϡ¤¥Þ¥ë¥Á¥¯¥í¥Ã¥¯¥É¥á¥¤¥óŬÍѤظþ¤±¡¤HDR¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤ò³ÈÄ¥¤·¤¿HDR-mcd¤òÄó°Æ¤¹¤ë¡¥Â³¤¤¤ÆHDR-mcd¤òÂоݤ˥ޥë¥Á¥¯¥í¥Ã¥¯¥É¥á¥¤¥ó»Ø¸þ¤ÎÄãÅÅÎϲ½¹â°Ì¹çÀ®¤òÄó°Æ¤¹¤ë¡¥Äó°Æ¼êË¡¤Ï¥Õ¥í¥¢¥×¥é¥ó¾ðÊó¤ò¥Õ¥£¡¼¥É¥Ð¥Ã¥¯¤·¡¤È¿Éü²þÎɤ¹¤ë¹çÀ®¥Õ¥í¡¼¤ò¼è¤ë¡¥¤½¤ÎºÝ¡¤1¥¯¥í¥Ã¥¯Æâ¤ÎÄÌ¿®¤¬Êݾ㤵¤ì¤ë¥Ï¥É¥ë¤È¸Æ¤Ö¶è²è¤òÍøÍѤ·¡¤ÇÛÀþÃÙ±ä¤Î±Æ¶Á¤òͽ¬¡¤°Û¤Ê¤ë¥¯¥í¥Ã¥¯´Ö¤ÎƱ´ü¤ò¹Íθ¤·¤¿¹â°Ì¹çÀ®¤ò¼Â¸½¤¹¤ë¡¥¥¯¥í¥Ã¥¯¤Ï¥Ï¥É¥ëËè¤Ë³ä¤êÅö¤Æ¡¤»ñ¸»À©Ìó¤È»þ´ÖÀ©Ìó¤òËþ¤¿¤¹ÈϰϤÇÄ㤤¼þÇÈ¿ô¤Î¥¯¥í¥Ã¥¯¤ò³ä¤êÅö¤Æ¤ë¤³¤È¤ÇÄãÅÅÎϲ½¤¹¤ë¡¥·×»»µ¡¼Â¸³¤Ë¤è¤êÄó°Æ¼êË¡¤Ï½¾Íè¤Îñ°ì¥¯¥í¥Ã¥¯¤Î¤ß¤ò¹Íθ¤·¤¿¥ì¥¸¥¹¥¿Ê¬»¶·¿¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤ÈÈæ³Ó¤·33%ÄøÅÙ¾ÃÈñ¥¨¥Í¥ë¥®¡¼¤òºï¸º¤Ç¤­¤ë¤³¤È¤ò³Îǧ¤·¤¿¡¥

C1-2-3 (»þ´Ö: 11:35 - 12:00)
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Pagepp. 191 - 196
Keyword Àµµ¬É½¸½¥Þ¥Ã¥Á¥ó¥°, ÉôʬºÆ¹½À®, ¥·¥¹¥È¥ê¥Ã¥¯¥¢¥ë¥´¥ê¥º¥à, NIDS
AbstractËÜÏÀʸ¤Ç¤Ï¡¤¹â®¤Ê¥Ñ¥¿¡¼¥ó¹¹¿·¤¬²Äǽ¤Ç¤«¤Ä¥³¥ó¥Ñ¥¯¥È¤ÊÀµµ¬É½¸½¥Þ¥Ã¥Á¥ó¥°¥Ï¡¼¥É¥¦¥§¥¢¤ò¼Â¸½¤¹¤ë¤¿¤á¤ËFPGA¤ÎÉôʬºÆ¹½À®µ¡Ç½¤òÍøÍѤ·¤¿¿·¤¿¤Ê¼êË¡¤òÄó°Æ¤¹¤ë¡¥Äó°Æ¼êË¡¤Ï¡¤Àµµ¬É½¸½¤Î°Û¤Ê¤ëÉôʬ¥¯¥é¥¹¤ò°·¤¦Éôʬ²óÏ©¤òÊ£¿ôÍÑ°Õ¤·¤Æ¤ª¤­¡¤Í¿¤¨¤é¤ì¤¿Àµµ¬É½¸½¥Ñ¥¿¡¼¥ó¤ËŬ¤·¤¿¥³¥ó¥Ñ¥¯¥È¤Ê²óÏ©¹½À®¤ò¤³¤ì¤é¤ÎÉôʬ²óÏ©¤ÎÁȤ߹ç¤ï¤»¤Ë¤è¤ê¼«Æ°À¸À®¤¹¤ë¡¥À¸À®¤µ¤ì¤¿²óÏ©¹½À®¤Ï¡¤Êѹ¹²Õ½ê¤Î¤ß¤¬ÉôʬºÆ¹½À®¤µ¤ì¤ë¡¥Äó°Æ¼êË¡¤Ï¡¤Á´¤Æ¤Î¥Ñ¥¿¡¼¥ó¤ËÂбþ²Äǽ¤Ê1¤Ä¤Î²óÏ©¤òÀ߷פ¹¤ë¥Ñ¥¿¡¼¥óÈó°Í¸·¿¼êË¡¤ËÈæ¤Ù¡¤¥³¥ó¥Ñ¥¯¥È¤Ê²óÏ©¤òÀ¸À®¤Ç¤­¤ë¡¥¤Þ¤¿¥Ñ¥¿¡¼¥ó°Í¸·¿¼êË¡¤È°ã¤¤¥Ñ¥¿¡¼¥ó¤¬¹¹¿·¤µ¤ì¤¿ºÝ¤Ë¡¤»þ´Ö¤Î¤«¤«¤ë²óÏ©¤ÎºÆÀ߷פòɬÍפȤ·¤Ê¤¤¤¿¤á¡¤¹â®¤Ê¥Ñ¥¿¡¼¥ó¤Î¹¹¿·¤¬²Äǽ¤Ç¤¢¤ë¡¥


¥»¥Ã¥·¥ç¥ó C1-3 ¾·ÂÔ¹Ö±éI
Æü»þ: 2013ǯ7·î29Æü(·î) 13:30-14:30
Éô²°: 405¼¼
ºÂĹ: ¹âÅç ¹¯Íµ (Ë̶彣»ÔΩÂç³Ø)

C1-3-1 (»þ´Ö: 13:30 - 14:30)
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Pagepp. 197 - 202
Keyword ¥µ¥¤¥É¥Á¥ã¥Í¥ë¹¶·â, ¥¹¥­¥ã¥ó¥Ù¡¼¥¹¹¶·â, ¥¹¥­¥ã¥ó¥Á¥§¥¤¥ó, ¥¹¥­¥ã¥ó¥·¥°¥Í¥Á¥ã
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¥»¥Ã¥·¥ç¥ó C1-4 ÏÀÍýÀß·×
Æü»þ: 2013ǯ7·î29Æü(·î) 14:45-16:00
Éô²°: 405¼¼
ºÂĹ: ´ä³À ¹ä (¹­Åç»ÔΩÂç³Ø)

C1-4-1 (»þ´Ö: 14:45 - 15:10)
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Pagepp. 203 - 208
Keyword ¥Ç¥Ð¥Ã¥°, SATÌäÂê, UNSAT¥³¥¢
AbstractVLSI(Very Large Scale Integration) ²óÏ©¤ÎÂ絬Ìϲ½¡¦Ê£»¨²½¤Ëȼ¤¤¡¢Àß·×´ü´Ö¤ÎĹ´ü²½¤¬ÌäÂê¤È¤Ê¤Ã¤Æ¤ª¤ê¡¢¤½¤Î¸úΨ²½¤¬É¬ÍפȤʤäƤ¤¤ë¡£Ãæ¤Ç¤â¡¢À߷פ¬´üÂÔÄ̤ê¤ÎÆ°ºî¤ò¤·¤Æ¤¤¤ë¤«¤É¤¦¤«¤ò³Îǧ¤¹¤ë¸¡¾Ú¡¢¤½¤·¤Æ¡¢À߷׸í¤ê¤¬¤¢¤ë¾ì¹ç¤Î¥Ç¥Ð¥Ã¥°¤Ë¡¢Àß·×´ü´Ö¤ËÂçȾ¤¬Èñ¤µ¤ì¤Æ¤¤¤ë¡£¥Ç¥Ð¥Ã¥°¤Ë¤ª¤±¤ë¸í¤ê²Õ½ê¤ÎÆÃÄê¤Ï¡¢Â¿¤¯¤Î¾ì¹ç¡¢¸½ºß¤Ç¤âÀ߷׼Ԥμê¤Ë¤è¤Ã¤Æ¹Ô¤ï¤ì¤Æ¤ª¤ê¡¢¼«Æ°²½¤Ë¤è¤ë¸úΨ²½¤¬¶¯¤¯Ë¾¤Þ¤ì¤Æ¤¤¤ë¡£Ëܸ¦µæ¤Ç¤Ï¡¢ÏÀÍý²óÏ©¤òÂоݤ˥Х°°ÌÃÖÆÃÄê¤Î¼«Æ°²½¼êË¡¤ò¸¡Æ¤¤·¡¢UNSAT¥³¥¢¤òÍøÍѤ¹¤ë¤³¤È¤Ë¤è¤ê¡¢È¿Îã¤Ë°Í¸¤·¤Ê¤¤¥Ð¥°°ÌÃÖÆÃÄê¼êË¡¤òÄó°Æ¤¹¤ë¡£²Ã¤¨¤Æ¡¢¸úΨŪ¤ËÊ£¿ôUNSAT¥³¥¢¤òÀ¸À®¤¹¤ë¼êË¡¤Ë¤Ä¤¤¤Æ¤âÄó°Æ¡¦É¾²Á¤ò¹Ô¤¦¡£

C1-4-2 (»þ´Ö: 15:10 - 15:35)
Âê̾SD¿ô¤ÎÈóÎí·å¿ôºï¸º²óÏ©¤Î²þÎÉ
Ãø¼Ô ¡ýÅÄÃæ ͦ¼ù, ò² ½ñ¹ä (·²ÇÏÂç³Ø Íý¹©³Ø¸¦µæ±¡)
Pagepp. 209 - 214
Keyword SD¿ô·Ï, ·å¾å¤²ÁªÂò¼êË¡, ÈóÎí·å¿ôºÇ¾®ÊÑ´¹
Abstractɽ¸½¤Ë¾éĹÀ­¤Î¤¢¤ëSD¿ô·Ï¤Ë¤ª¤¤¤Æ¡¤ÈóÎí¤Ç¤¢¤ë·å¤¬ºÇ¾®¤Î¤â¤Î¤ò±é»»¤ËÍøÍѤ¹¤ë¤³¤È¤Ç±é»»¤Î¹â®²½¤¬¿Þ¤ì¤ë¡¥Ãø¼Ô¤é¤Ï°ÊÁ°¡¤SD¿ô¤ÎÈóÎí·å¿ôºÇ¾®É½¸½¤ÎÊÑ´¹¥¢¥ë¥´¥ê¥º¥à¤òÄó°Æ¤·¤¿¤¬¡¤ÊÑ´¹¤Ë¤Ï·å¾å¤²ÅÁȤ¬È¯À¸¤¹¤ë¤³¤È¤«¤é¼ÂÍÑÀ­¤ËÌäÂ꤬¤¢¤Ã¤¿¡¥Ëܸ¦µæ¤Ç¤Ï²Ã»»´ï¤Î¹â®²½¤ËÍѤ¤¤é¤ì¤Æ¤¤¤ë·å¾å¤²ÁªÂò¼êË¡¤òÊÑ´¹¥¢¥ë¥´¥ê¥º¥à¤ØŬÍѤ·¡¤¹â®¤ÊÊÑ´¹²óÏ©¤ò¹½À®¤·¤¿¡¥¤Þ¤¿¤½¤ì¤Ëȼ¤¦²óÏ©ÌÌÀѤÎÁý²Ã¤ò¾®¤µ¤¯¤¹¤ë¤³¤È¤Î¤Ç¤­¤ëÀ­¼Á¤âÍ¿¤¨¤¿¡¥

C1-4-3 (»þ´Ö: 15:35 - 16:00)
Âê̾¥»¥ì¥¯¥¿ÏÀÍý¤òÍøÍѤ·¤¿Àþ·ÁÊä´Ö±é»»´ï¤Î¼ÂÁõ¤Èɾ²Á
Ãø¼Ô ¡ý±ö ²í»Ë, Ìøß· À¯À¸, ¸ÍÀî ˾ (Áá°ðÅÄÂç³ØÂç³Ø±¡´ð´´Íý¹©³Ø¸¦µæ²Ê)
Pagepp. 215 - 220
Keyword ¥»¥ì¥¯¥¿ÏÀÍý, Êä´Ö, Àþ·ÁÊä´Ö
AbstractËܹƤǤϡ¤Àþ·ÁÊä´Ö±é»»¤ò¥Ó¥Ã¥È¥ì¥Ù¥ë¼°ÊÑ·Á¤·¥»¥ì¥¯¥¿ÏÀÍý¤Ëµ¢Ã夵¤»¤ë¤³¤È¤Ç¡¤¥»¥ì¥¯¥¿ÏÀÍýµ¢Ãå·¿Àþ·ÁÊä´Ö±é»»´ï¤òÄó°Æ¤¹¤ë¡¥Äó°Æ¤¹¤ë¥»¥ì¥¯¥¿ÏÀÍýµ¢Ãå·¿Àþ·ÁÊä´Ö±é»»´ï¤Ï¡¤¥»¥ì¥¯¥¿ÏÀÍý¤òÍѤ¤¤ë¤³¤È¤Ç·å¾å¤²ÅÁÈÂÃÙ±ä¤òºï¸º¤·±é»»¤Î¹â®²½¤ò¼Â¸½¤¹¤ë¡¥¥»¥ì¥¯¥¿ÏÀÍýµ¢Ãå·¿Àþ·ÁÊä´Ö±é»»´ï¤Ë¤ª¤¤¤Æ¡¤¥»¥ì¥¯¥¿ÏÀÍý¤Ë¤è¤Ã¤ÆÀ¸À®¤µ¤ì¤¿ÉôʬÀѤò»»½Ñ±é»»»Ò¤òÍѤ¤¤Æ²Ã»»¡¤·å¾å¤²ÀèÆɤ߲û»´ï¤òÍѤ¤¤Æ²Ã»»¤Ê¤É¡¤Ê£¿ô¤ÎÊýË¡¤Ç¼ÂÁõ¤·É¾²Á¡¦Èæ³Ó¤·¤¿¡¥¤½¤Î·ë²Ì¡¤¥»¥ì¥¯¥¿ÏÀÍý¤òÍѤ¤¤ºÀ߷פ·¤¿¾ì¹ç¤ÈÈæ³Ó¤·¡¤Äó°Æ¼êË¡¤Ç¤Ï¡¤ÏÀÍý¹çÀ®¥Ä¡¼¥ë¤òÍѤ¤¤¿É¾²Á¤ÇºÇÂç16%¡¤FPGA¤òÍѤ¤¤¿É¾²Á¤ÇºÇÂç55%¤ÎÃÙ±äºï¸º¤ò³Îǧ¤·¤¿¡¥


¥»¥Ã¥·¥ç¥ó D1-1 ¥°¥é¥Õ¥Í¥Ã¥È¥ï¡¼¥¯ÍýÏÀ
Æü»þ: 2013ǯ7·î29Æü(·î) 9:15-10:30
Éô²°: 311B¼¼
ºÂĹ: »³Ãæ ¹îµ× (´ä¼êÂç³Ø ¹©³ØÉô Åŵ¤ÅŻҡ¦¾ðÊó¥·¥¹¥Æ¥à¹©³Ø²Ê)

D1-1-1 (»þ´Ö: 9:15 - 9:40)
Âê̾¥°¥é¥Õ¤ÎºÙʬ¤Î¥¹¥¿¥Ã¥¯¥­¥å¡¼¥ß¥Ã¥¯¥¹¥ì¥¤¥¢¥¦¥È
Ãø¼Ô ±ÝËÜ É§±Ò (Áá°ðÅÄÂç³ØÂç³Ø±¡), ¡ûµÜÆâ Èþ¼ù (NTT ¥³¥ß¥å¥Ë¥±¡¼¥·¥ç¥ó²Ê³Ø´ðÁø¦µæ½ê)
Pagepp. 221 - 226
Keyword ¥°¥é¥Õ¥ì¥¤¥¢¥¦¥È, ¥°¥é¥Õ¤ÎºÙʬ¤Î¿ô
AbstractËÜÏÀʸ¤Ç¤Ï¡¤¥°¥é¥Õ¤ÎºÙʬ¤Î¥¹¥¿¥Ã¥¯¥­¥å¡¼¥ß¥Ã¥¯¥¹¥ì¥¤¥¢¥¦¥È¤Ë¤Ä¤¤¤Æ¡¤Ç¤°Õ¤Î¥°¥é¥ÕG¤ËÂФ·¡¤ Dujmovic¤ÈWood¤¬¼¨¤·¤Æ¤¤¤¿·ë²Ì¤è¤êÂпô¤ÎÄ줬¿¿¤ËÂ礭¤¤¸Ä¿ô¤ÎºÙʬÅÀ¤Ç¥¹¥¿¥Ã¥¯¥­¥å¡¼¥ß¥Ã¥¯¥¹¥ì¥¤¥¢¥¦¥È¤ò¹½À®¤¹¤ë¤³¤È¤Ç¡¤¤³¤Î·ë²Ì¤ò²þÎɤ·¤¿¡¥

D1-1-2 (»þ´Ö: 9:40 - 10:05)
Âê̾On Independent Trees in Star Graphs
Ãø¼Ô ¿ÜÆ£ ±ÑÌÀ, ¡û»³ÅÄ ÉÒµ¬ (ºë¶ÌÂç³Ø Âç³Ø±¡Íý¹©³Ø¸¦µæ²Ê ¿ôÍýÅŻҾðÊóÉôÌç)
Pagepp. 227 - 230
Keyword ¥¹¥¿¡¼¥°¥é¥Õ, ÆÈΩÌÚ, Ï¢·ëÅÙ
AbstractT, T'¤ò¥°¥é¥Õ G ¤ÎÁ´°èÌڤȤ·¡¤r ¤ò G ¾å¤ÎÅÀ¤È¤¹¤ë¡¥G ¾å¤ÎǤ°Õ¤ÎÅÀ v ¤ËÂФ·¤Æ r ¤È v ¤ò·ë¤Ö T ¾å¤Î¥Ñ¥¹¤È T' ¾å¤Î¥Ñ¥¹¤¬ÆâÅÀÈó¶¦Í­¤Ç¤¢¤ë¤È¤­¡¤T ¤È T' ¤ò r ¤òº¬¤È¤¹¤ëÆÈΩÌڤȸƤ֡¥¾®Ê¸¤Ç¤Ï¡¤n ¼¡¸µ¥¹¥¿¡¼¥°¥é¥Õ Sn ¤¬¡¤Ç¤°Õ¤ÎÅÀ r ¤ËÂФ·¤Æ r ¤òº¬¤È¤¹¤ë n-1 ¸Ä¤ÎÆÈΩÌÚ¤ò»ý¤Ä¤³¤È¤ò¾ÚÌÀ¤¹¤ë¡¥

D1-1-3 (»þ´Ö: 10:05 - 10:30)
Âê̾A Polynomial Time Algorithm for Solving a 2-Tuple Domination Problem on Permutation Graphs
Ãø¼Ô ¡ûÃ滳 ¿µ°ì (ÆÁÅçÂç³Ø ¥½¥·¥ª¡¦¥¢¡¼¥Ä¡¦¥¢¥ó¥É¡¦¥µ¥¤¥¨¥ó¥¹¸¦µæÉô), Áý»³ ÈË (Ë­¶¶µ»½Ñ²Ê³ØÂç³Ø ¾ðÊó¡¦Ãμ±¹©³Ø·Ï)
Pagepp. 231 - 236
Keyword Algorithm, Dominating Set
AbstractLet G = (V, E) be an undirected graph with |V| = n and |E| = m. In a graph G, a vertex is said dominate itself and all of its neighbors. For a fixed positive integer k, a k-tuple domination set of a graph G is a subset D ⊆ V such that every vertex in V is dominated by at least k vertices of D. A k-tuple domination number γk(G) is the minimum cardinality of a k-tuple dominating set. A k-tuple domination problem is to find a k-tuple dominating set where γk(G) is minimum. In this paper, we propose a polynomial time algorithm for solving the 2-tuple domination problem, when an input graph is a permutation graph.


¥»¥Ã¥·¥ç¥ó D1-2 ¥Ï¥¤¥Ö¥ê¥Ã¥É¥À¥¤¥Ê¥ß¥«¥ë¥·¥¹¥Æ¥à
Æü»þ: 2013ǯ7·î29Æü(·î) 10:45-12:00
Éô²°: 311B¼¼
ºÂĹ: ÃæÅÄ ½¼ (»³¸ýÂç³Ø)

D1-2-1 (»þ´Ö: 10:45 - 11:10)
Âê̾¥â¥Ç¥ëͽ¬À©¸æ¤Ë´ð¤Å¤¯¥Ð¥¤¥Ê¥ê¥Þ¥Ë¥Ô¥å¥ì¡¼¥¿¤Î¾ã³²Êª²óÈòÀ©¸æ
Ãø¼Ô ¡ýÁ°ÅÄ ·ò²ð, ¾®Ãæ ±Ñ»Ì (̾¾ëÂç³Ø)
Pagepp. 237 - 242
Keyword ¥â¥Ç¥ëͽ¬À©¸æ, ʬ»Þ¸ÂÄêË¡
AbstractËܸ¦µæ¤Ç¤Ï¥Ð¥¤¥Ê¥ê¥Þ¥Ë¥Ô¥å¥ì¡¼¥¿¤òÀ©¸æÂоݤȤ·¡¤¼êÀè¤òÍ¿¤¨¤é¤ì¤¿ÌÜɸÅÀ¤Ë¶áÉÕ¤±¤ëÌäÂê¤ò¹Í¤¨¤ë¡¥¥Ð¥¤¥Ê¥ê¥Þ¥Ë¥Ô¥å¥ì¡¼¥¿¤Ï¹â¤¤¾éĹÀ­¤Ë¤è¤ë¿®ÍêÀ­¤ò»ý¤Ä°ìÊý¤Ç¡¤µÕ±¿Æ°³Ø¤¬ÁȤ߹ç¤ï¤»ºÇŬ²½ÌäÂê¤È¤Ê¤Ã¤Æ¤·¤Þ¤¤¡¤Â礭¤Ê·×»»¥³¥¹¥È¤¬ÌäÂê¤È¤Ê¤ë¡¥ Ëܸ¦µæ¤Ç¤Ï¡¤Å¬ÀÚ¤ÊÀ©¸æÆþÎϤò·×»»¤¹¤ë¤¿¤á¤Î¥â¥Ç¥ëͽ¬À©¸æ¼êË¡¤òÄó°Æ¤¹¤ë¡¥¥Ð¥¤¥Ê¥ê¥Þ¥Ë¥Ô¥å¥ì¡¼¥¿¤Î¿­½Ì¥Ñ¥¿¡¼¥ó¤òÆÀ¤ë¤¿¤á¤Ë¡¤ÌÜŪ´Ø¿ô¤ÎñĴÀ­¤Ê¤É¤òÍøÍѤ··×»»Î̤κ︺¤ò»î¤ß¤ë¡¥¤Þ¤¿¤³¤Î¼êË¡¤Ç¤Ï¡¤½¾Íè¼êË¡¤Ç¤ÏÁȤ߹þ¤ß¤Å¤é¤¤¾ã³²Êª²óÈò¤Î¤¿¤á¤ÎÀ©Ìó¤òÍưפËÁȤ߹þ¤á¤ë¤È¤¤¤¦ÍøÅÀ¤¬¤¢¤ë¡¥ Äó°Æ¼êË¡¤ÎÍ­¸úÀ­¤ò¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤ê³Îǧ¤¹¤ë¡¥

D1-2-2 (»þ´Ö: 11:10 - 11:35)
Âê̾¥Þ¥ë¥Á¥Û¥Ã¥×À©¸æ¥Í¥Ã¥È¥ï¡¼¥¯¤ÎMLD¥·¥¹¥Æ¥àɽ¸½¤ÈºÇŬÀ©¸æ
Ãø¼Ô ¡û¾®ÎÓ ¹§°ì, Ê¿ÀРˮɧ (ËÌΦÀèü²Ê³Øµ»½ÑÂç³Ø±¡Âç³Ø)
Pagepp. 243 - 248
Keyword ¥Þ¥ë¥Á¥Û¥Ã¥×À©¸æ¥Í¥Ã¥È¥ï¡¼¥¯, º®¹çÏÀÍýưŪ¥·¥¹¥Æ¥àɽ¸½, ºÇŬÀ©¸æ
Abstract¥Þ¥ë¥Á¥Û¥Ã¥×À©¸æ¥Í¥Ã¥È¥ï¡¼¥¯¤È¤Ï¥Í¥Ã¥È¥ï¡¼¥¯²½À©¸æ·Ï¤Î°ì¼ï¤Ç¤¢¤ê¡¤À©¸æÂоݤÈÀ©¸æ´ï¤Î´Ö¤¬¥Þ¥ë¥Á¥Û¥Ã¥×̵Àþ¥Í¥Ã¥È¥ï¡¼¥¯¤ÇÀܳ¤µ¤ì¤¿À©¸æ·Ï¤Ç¤¢¤ë¡¥ËÜÏÀʸ¤Ç¤Ï¡¤º®¹çÏÀÍýưŪ¡ÊMLD¡Ë¥·¥¹¥Æ¥àɽ¸½¤òÍѤ¤¤¿¡¤¥Þ¥ë¥Á¥Û¥Ã¥×À©¸æ¥Í¥Ã¥È¥ï¡¼¥¯¤Î¥â¥Ç¥ê¥ó¥°¤ª¤è¤ÓºÇŬÀ©¸æ¤ò¹Í¤¨¤ë¡¥MLD¥·¥¹¥Æ¥àɽ¸½¤Ï¥Ï¥¤¥Ö¥ê¥Ã¥É¥·¥¹¥Æ¥à¤Î²òÀϤäÀ©¸æ¤ÇÍѤ¤¤é¤ì¤ë¤³¤È¤«¤é¡¤¥Í¥Ã¥È¥ï¡¼¥¯¤ÈÀ©¸æÂоݤÎξÊý¤ò¤â¤Ä¥Þ¥ë¥Á¥Û¥Ã¥×À©¸æ¥Í¥Ã¥È¥ï¡¼¥¯¤Î¥â¥Ç¥ê¥ó¥°¤ËŬ¤·¤Æ¤¤¤ë¡¥MLD¥·¥¹¥Æ¥àɽ¸½¤òÍѤ¤¤ë¤³¤È¤Ç¡¤¥Þ¥ë¥Á¥Û¥Ã¥×À©¸æ¥Í¥Ã¥È¥ï¡¼¥¯¤ÎºÇŬÀ©¸æÌäÂê¤Ïº®¹çÀ°¿ô·×²èÌäÂê¤Ëµ¢Ã夵¤ì¤ë¡¥

D1-2-3 (»þ´Ö: 11:35 - 12:00)
Âê̾ÅÅÎϥѥ±¥Ã¥ÈÅÁÁ÷¤Ë¤ª¤±¤ë¥¨¥Í¥ë¥®¡¼¤È¥¨¥ó¥È¥í¥Ô¡¼¤ÎÆÌÀ­¤Ë´Ø¤¹¤ë°ì¹Í»¡
Ãø¼Ô ¡ýÆìÅÄ ¿®ºÈ, ¹â¶¶ μ, °ú¸¶ δ»Î (µþÅÔÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê)
Pagepp. 249 - 252
Keyword ÅÅÎϥѥ±¥Ã¥È, ÄÌ¿®ÍýÏÀ, Î¥»¶Åª¾ðÊó¸», ¥¨¥Í¥ë¥®¡¼, ¥¨¥ó¥È¥í¥Ô¡¼
AbstractÃø¼Ô¤é¤Î¥°¥ë¡¼¥×¤Ï, ¥¿¥°¤È¤Ê¤ëήÄÌ´ÉÍý¾ðÊó¤È¤È¤â¤ËÅÅÎϤò¥Ñ¥±¥Ã¥È²½¤·ÅÁÁ÷¤¹¤ëÅÅÎϥѥ±¥Ã¥ÈÅÁÁ÷¤Î³µÇ°¤òÄó°Æ¤·, ¤½¤Î¼Â¸½²ÄǽÀ­¤ò¼Â¸³Åª, ¿ôÃÍŪ¸¡Æ¤¤Ë¤è¤ê¼Â¾Ú¤·¤ÆÍ褿. ¤³¤Î¤è¤¦¤ÊÅÅÎϥѥ±¥Ã¥ÈÅÁÁ÷¤òÍýÏÀŪ¤Ë¼è¤ê°·¤¦¤¿¤á, ¥·¥ã¥Î¥ó¤ÎÄÌ¿®ÍýÏÀ¤È¤Î´ØÏ¢À­¤ËÃåÌܤ·, ÅÅÎϥѥ±¥Ã¥ÈÅÁÁ÷¤Î¿ôÍýɽ¸½¤òÍ¿¤¨¤ë. ñ°Ì»þ´Ö¤Ë¤ª¤±¤ëÅŸ»½ÐÎϤòµ­¹æ¤È¤·, µ­¹æ¤Î·ÏÎó¤Ç¤¢¤ë¸ì¤Ë¤è¤ë¥¨¥Í¥ë¥®¡¼ÅÁÁ÷¤ò¹Í¤¨¤ë. ¤³¤Îɽ¸½¤Ë´ð¤Å¤­, ÅÁÁ÷¤Ë¤ª¤±¤ëÊ¿¶ÑÅÅÎϤȥ¨¥ó¥È¥í¥Ô¡¼¤òÄê¼°²½¤¹¤ë. ¤Þ¤¿, ¼«Á³¤Ê¶á»÷¤òÍѤ¤¤Æ, ¤³¤ÎÊ¿¶ÑÅÅÎϤȥ¨¥ó¥È¥í¥Ô¡¼¤Î·×»»ÊýË¡¤ò¼¨¤¹. ºÇ¸å¤Ë, ¿ôÃÍ·×»»¤Ë¤è¤êξ¼Ô¤Î´Ø·¸¤ò¼¨¤·, ¶á»÷¤ÎÂÅÅöÀ­¤ò¸¡¾Ú¤¹¤ë.


¥»¥Ã¥·¥ç¥ó D1-3 ʬ»¶½èÍý¤È¥Þ¥ë¥Á¥¨¡¼¥¸¥§¥ó¥È
Æü»þ: 2013ǯ7·î29Æü(·î) 13:30-14:30
Éô²°: 311B¼¼
ºÂĹ: ²ÏÊÕ µÁ¿® (°¦Ã驶ÈÂç³Ø ¾ðÊó²Ê³ØÉô)

D1-3-1 (»þ´Ö: 13:30 - 14:30)
Âê̾(¾·ÂÔ) ¸¦µæ²ÝÂê¤È¤·¤Æ¤Î¥í¥Ü¥«¥Ã¥×¥ì¥¹¥­¥å¡¼
Ãø¼Ô ¡û°ËÆ£ Ī¹À (°¦Ã驶ÈÂç³Ø ¾ðÊó²Ê³ØÉô)
Pagepp. 253 - 258
Keyword ¥í¥Ü¥«¥Ã¥×, ¥Þ¥ë¥Á¥¨¡¼¥¸¥§¥ó¥È¥·¥¹¥Æ¥à, ºÒ³²µß½õ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó
Abstract1997ǯ¤Ë̾¸Å²°¤Ç³«ºÅ¤µ¤ì¤¿Âè1²ó¥í¥Ü¥«¥Ã¥×¤âº£Ç¯¤Ç16ǯ¡¤17²óEindhoven, NetherlandÂç²ñ¤¬2013ǯ6·îËö¤Ë³«ºÅ¤µ¤ì¤¿¡¥³Ø½Ñ¥·¥ó¥Ý¥¸¥¦¥à¤È¶¥µ»²ñ¤Ç¹½À®¤µ¤ì¤ë¥í¥Ü¥«¥Ã¥×¤Ï¡¤¥µ¥Ã¥«¡¼ÉôÌ硤ºÒ³²µß½õÉôÌ硤²ÈÄíÆâÉôÌ硤¥¸¥å¥Ë¥¢ÉôÌç¤È¼¡Âè¤ËÂ礭¤¯¤Ê¤Ã¤Æ¤­¤¿¡¥¤·¤«¤·¥í¥Ü¥Ã¥È¤ä¿Í¹©ÃÎǽ¤Îµ»½Ñ¤ÎȯŸ¤Ë¤è¤ê¡¤¹âÅ٤ʥí¥Ü¥Ã¥È¤äÀïά¤¬¼Â¸½¤µ¤ì¤ë°ìÊý¤Ç¡¤¸¦µæ²ÝÂê¤È¤·¤Æ¤Î°·¤¤¤Å¤é¤µ¤ÏÁý¤·¤Æ¤¤¤ë¡¥¤½¤³¤Ç³«È¯Íѥ饤¥Ö¥é¥ê¤ä¥Ù¥ó¥Á¥Þ¡¼¥¯¥Ñ¥Ã¥±¡¼¥¸¤¬Äó°Æ¤µ¤ì¡¤¸¦µæ²ÝÂê¤È¤·¤Æ¥í¥Ü¥«¥Ã¥×¤ò¹Í¤¨¤ë¼è¤êÁȤߤ¬»Ï¤Þ¤Ã¤Æ¤¤¤ë¡¥ËÜȯɽ¤Ç¤Ï¡¤ºÒ³²µß½õÉôÌç¤Ç¤¢¤ë¥í¥Ü¥«¥Ã¥×¥ì¥¹¥­¥å¡¼¤òÃæ¿´¤Ë¡¤¤½¤Î¼è¤êÁȤߤ並µæ²ÝÂꡤ¤½¤·¤Æ¤½¤ÎÌäÂêÅÀ¤äº£¸å¤Ë¤Ä¤¤¤ÆµÄÏÀ¤¹¤ë¡¥


¥»¥Ã¥·¥ç¥ó D1-4 ´ö²¿³ØŪ¤Ê¿Þ·Á¤Î¿ôÍý
Æü»þ: 2013ǯ7·î29Æü(·î) 15:00-16:00
Éô²°: 311B¼¼
ºÂĹ: ºä´¬ ·Ä¹Ô (Åì¼Ç)

D1-4-1 (»þ´Ö: 15:00 - 16:00)
Âê̾(¾·ÂÔ) ¿³Ñ·Á¤«¤éÀÞ¤ëÆÌ¿ÌÌÂÎ
Ãø¼Ô ¡ûÊ¿ÅÄ ¹À°ì (°¦É²Âç³Ø¶µ°é³ØÉô)
Pagepp. 259 - 259
Keyword ÀÞ¤ê»æ, ¿³Ñ·Á, ÆÌ¿ÌÌÂÎ, ¥¢¥ì¥¯¥µ¥ó¥É¥í¥ÕÀÜÃå, Àޤꤿ¤¿¤ß¥¢¥ë¥´¥ê¥º¥à
Abstract°ì¤Ä¤ÎÆÌ¿ÌÌÂΤËÂФ·Â¿¿ô¤ÎŸ³«¿Þ¤¬¤¢¤ë¤³¤È¤Ï¤è¤¯ÃΤé¤ì¤Æ¤¤¤Þ¤¹¡£¤³¤ÎµÕ¤ÎÌäÂê¤ò¹Í¤¨¤ë¤È¡¢°ìËç¤Î¿³Ñ·Á¤Î»æ¤«¤é¤É¤ì¤À¤±¤ÎÆÌ¿ÌÌÂΤ¬ºî¤é¤ì¤ë¤«¤È¤¤¤¦ÌäÂê¤Ë¤Ê¤ê¤Þ¤¹¡£°ì¤Ä¤Ë·è¤Þ¤Ã¤Æ¤¤¤ë¤È»×¤¤¤¬¤Á¤Ç¤¹¤¬¡¢ÀÞ¤êÊý¤òÊѤ¨¤ë¤³¤È¤Ç°ìËç¤Î¿³Ñ·Á¤Î»æ¤«¤é¿¿ô¤ÎÆÌ¿ÌÌÂΤ¬ºî¤é¤ì¤ëÎ㤬¤¿¤¯¤µ¤ó¸«¤Ä¤«¤Ã¤Æ¤­¤Þ¤·¤¿¡£Æäˡ¢ÆÌ¿³Ñ·Á¤Î»æ¤«¤é¤Ï̵¿ô¤ÎÆÌ¿ÌÌÂΤ¬ºî¤é¤ì¤ë¤³¤È¤¬ÃΤé¤ì¤Æ¤¤¤Þ¤¹¡£Àޤꤿ¤¿¤ß¥¢¥ë¥´¥ê¥º¥à¤Î¸¦µæ¤Ë¤è¤ê¡¢¤³¤Î¸½¾Ý¤Î¿ô³ØŪÇطʤ¬ÌÀ¤é¤«¤Ë¤Ê¤Ã¤Æ¤­¤Æ¤¤¤Þ¤¹¡£


¥»¥Ã¥·¥ç¥ó SP ÆÃÊ̾·ÂÔ¹Ö±é
Æü»þ: 2013ǯ7·î29Æü(·î) 16:30-17:30
Éô²°: ¹ñºÝ²ñµÄ¾ì Ãϲ¼1³¬¡Ö¥¤¥Ù¥ó¥È¥Û¡¼¥ë¡×
ºÂĹ: µÜËÜ ½Ó¹¬ (ÂçºåÂç³Ø Âç³Ø±¡¹©³Ø¸¦µæ²Ê Åŵ¤ÅŻҾðÊ󹩳ØÀ칶)

SP-1 (»þ´Ö: 16:30 - 17:30)
Âê̾(¾·ÂÔ) ¼Ò²ñŪ²ÝÂê¤Î²ò·è¤Ë¸þ¤±¤Æ¡Ý¥·¥¹¥Æ¥àÀ©¸æ¤ÎΩ¾ì¤«¤é
Ãø¼Ô ¡ûÆ£ÅÄ À¯Ç· (Åìµþ¹©¶ÈÂç³Ø)
Pagepp. 260 - 260
Abstract¸½Âå¼Ò²ñ¤ÏÃϵå´Ä¶­ÌäÂê¡¢»ñ¸»¡¦¥¨¥Í¥ë¥®¡¼ÌäÂê¤ä µðÂç²½¤·¤¿¿Í¹©¥·¥¹¥Æ¥à¤Î»ö¸Î¤Ê¤É¡¢²Ê³Øµ»½Ñ¤Ë²ò·è¤¬ ´üÂÔ¤µ¤ì¤ë²ÝÂ꤬µÞÁý¤·¤Æ¤¤¤ë¡£¤³¤ì¤é¤Î¿¤¯¤ÏñÆȤÎʬÌî ¤Ë¤è¤ëÂбþ¤¬º¤Æñ¤Ç¤¢¤ê¡¢Ê¬Ìî¤òĶ¤¨¤¿²Ê³Øµ»½Ñ¤Î·ë½¸¤ò ɬÍפȤ¹¤ë¡£¤³¤Î¤è¤¦¤ÊÇطʤ«¤é¡¢Âè4´ü²Ê³Øµ»½Ñ´ðËÜ·×²è ¤Ç¤Ï¡¢ÆÃÄêʬÌî¤Ø¤Î½ÅÅÀ²½¡¦¿ä¿Ê¤òÎɤȤ¹¤ë¤½¤ì¤Þ¤Ç¤ÎÊý¿Ë ¤ò¸«Ä¾¤·¡¢¼Ò²ñ¤Î²ÝÂê²ò·è¤Ë¸þ¤±¤Æ¡¢²Ê³Øµ»½Ñ¤ÎÃμ±¤È ¥·¥¹¥Æ¥à¤òÁíÆ°°÷¤¹¤ëÊý¿Ë¤¬¼¨¤µ¤ì¤¿¡£¤Þ¤¿¡¢2012ǯ2·î¤Ë¤Ï ʸÉô²Ê³Ø¾Ê ÀïάÌÜɸ¡ÖºÆÀ¸²Äǽ¥¨¥Í¥ë¥®¡¼¤ò¤Ï¤¸¤á¤È¤·¤¿ ¿Íͤʥ¨¥Í¥ë ¥®¡¼¤Î¼ûµë¤ÎºÇŬ²½¤ò²Äǽ¤È¤¹¤ë¡¢Ê¬»¶¶¨Ä´ ·¿¥¨¥Í¥ë¥®¡¼ ´ÉÍý¥·¥¹¥Æ¥à¹½ÃۤΤ¿¤á¤ÎÍýÏÀ¡¢¿ôÍý¥â¥Ç¥ë µÚ¤Ó´ðÈ×µ»½Ñ¤ÎÁϽСפ¬ÀßÄꤵ¤ì¤¿¡£¤½¤·¤Æ¡¢2012ǯ 10·î¤«¤é¤Ï JST CREST¸¦µæÎΰè¡Öʬ»¶¶¨Ä´·¿¥¨¥Í¥ë¥®¡¼ ´ÉÍý¥·¥¹¥Æ¥à¹½ÃۤΤ¿¤á¤ÎÍýÏÀµÚ¤Ó´ðÈ×µ»½Ñ¤ÎÁÏ½Ð¤È Í»¹çŸ³«¡×¤¬¥¹¥¿¡¼¥È¤·¡¢ËܳÊŪ¤Ê³ØÍýÍ»¹ç·¿¤Î¸¦µæ³«È¯¤¬ ¿Ê¤á¤é¤ì¤Æ¤¤¤ë¡£Ëֱܹé¤Ç¤Ï¡¢¹Ö±é¼Ô¤¬¸¦µæÁí³ç¤ò̳¤á¤ë ¾åµ­CREST¸¦µæÎΰè¤Î³µÍפò¾Ò²ð¤¹¤ë¡£ ¤Þ¤¿¡¢°ì¿Í¤Î¥·¥¹ ¥Æ¥àÀ©¸æ¸¦µæ¼Ô¤ÎΩ¾ì¤«¤é¡¢ËܲÝÂê¤Î²ò·è¤Ë¸þ¤±¤Æ¼è¤êÁȤޤʤ± ¤ì¤Ð¤Ê¤é¤Ê¤¤¥Ñ¥é¥À¥¤¥à¥·¥Õ¥È¤Ë´Ø¤·¤Æ¹Í¤¨¤ò½Ò¤Ù¤Æ¤ß¤ë¡£


2013ǯ7·î30Æü(²Ð)

¥»¥Ã¥·¥ç¥ó An2-1 ÈóÀþ·Á¥·¥¹¥Æ¥à¤È¤½¤Î²òÀÏ
Æü»þ: 2013ǯ7·î30Æü(²Ð) 9:15-10:30
Éô²°: 301A¼¼
ºÂĹ: Ë㸶 ´²Ç· (Ê¡²¬Âç³Ø)

An2-1-1 (»þ´Ö: 9:15 - 9:40)
Âê̾ÈùÀ¢Æ°µ¡¹½¤Ë¤è¤ëÅŵ¤ÀÜÅÀ¤ÎÎô²½¸½¾Ý-ÀÜ¿¨Äñ¹³ÊÑÆ°¤Î¥â¥Ç¥ê¥ó¥°-
Ãø¼Ô ¡ûÏÂÅÄ ¿¿°ì, ±ÛÅÄ ·½¼£, µ×ÊÝÅÄ Íξ´ (TMC¥·¥¹¥Æ¥à), ß· ¹§°ìϺ (ÆüËܹ©¶ÈÂç³Ø)
Pagepp. 261 - 266
Keyword ÀÜ¿¨Äñ¹³, ÈùÀ¢Æ°µ¡¹½, °ÌÁêÌ̲òÀÏ, Êĵ°Æ», ʬ´ô
AbstractÃø¼Ô¤é¤Ï¡¤Åŵ¤ÀÜÅÀ¤Ë¼ÂÍÑŪ¿¶Æ°¤òÍ¿¤¨¤¦¤ë¤¤¤¯¤Ä¤«¤Î²Ã¿¶µ¡¹½¤ò³«È¯¤·¡¤Èù¾®¿¶Æ°¤¬ÀÜ¿¨Äñ¹³¤ËÍ¿¤¨¤ë±Æ¶Á¤ò¹Í»¡¤Ç¤­¤ë²ÄǽÀ­¤ò¸¡Æ¤¤·¤Æ¤­¤¿¡¥³«È¯¤·¤¿ÈùÀ¢Æ°µ¡¹½­¶¤òÍѤ¤¤Æ¡¤Åŵ¤ÀÜÅÀ¤ÎÎô²½¸½¾Ý¤ò°ú¤­µ¯¤³¤·¡¤ÀÜ¿¨ÅÅ°µ¤Î»þ·ÏÎóÊÑÆ°¥Ç¡¼¥¿¤ò¼èÆÀ¤¹¤ë¡¥°ÌÁêÌ̲òÀϤˤè¤ê¤³¤Î»þ·ÏÎóÊÑÆ°¥Ç¡¼¥¿¤Ë¤Ï½à°ÂÄê¤Ê¼þ´üÊĵ°Æ»¤ª¤è¤Óʬ´ô¸½¾Ý¤¬Â¸ºß¤¹¤ë¤³¤È¤ò¸«½Ð¤¹¡¥¤Þ¤¿¡¤¼þÇÈ¿ô¤Ë¤ª¤±¤ëÂç¾®2¤Ä¤ÎÍýÏÀ¶ë·ÁÇȤˤè¤ê¡¤ÀÜ¿¨ÅÅ°µ¤Î»þ·ÏÎóÊÑÆ°¥Ç¡¼¥¿¤Ï¶á»÷²Äǽ¤Ç¤¢¤ë¤³¤È¤ò¼¨º¶¤¹¤ë¡¥¤µ¤é¤Ë¡¤ÍýÏÀÇȤΰÌÁêÌ̲òÀϤˤâƱÍͤʰÂÄê¼þ´üÊĵ°Æ»¤Èʬ´ô¸½¾Ý¤¬¤ß¤é¤ì¤ë¤¬¡¤¼Â¸³ÇȤȤκ¹°Û¤â¸ºß¤¹¤ë¡¥¤³¤ì¤é¤Î¸½¾Ý¤Ï·Ï¤ÎÆþÎϤÎÈóÀþ·ÁÀ­¤Ë°Í¸¤·¤Æ¤¤¤ë¤È¹Í¤¨¤é¤ì¤ë¤¬¡¤¿¶Éý¤ä¼þÇÈ¿ô¤Î¤æ¤é¤®¤ä¥Ç¡¼¥¿¤ÎÈô¤Ó¤ª¤è¤Óʬ´ôÅù¤ËͳÍ褹¤ë¤È¹Í¤¨¤é¤ì¤ëº¹°Û¤Ë´Ø¤·¤Æ¤Ï¡¤·Ï¤ËÆâºß¤¹¤ëÈóÀþ·ÁÀ­¤ò¹Íθ¤¹¤ëɬÍפò¼¨º¶¤¹¤ë¡¥

An2-1-2 (»þ´Ö: 9:40 - 10:05)
Âê̾¥Í¥Ã¥È¥ï¡¼¥¯¹½Â¤¤ò»ý¤Äγ»Ò·²ºÇŬ²½Ë¡¤òÍѤ¤¤¿ÈóÀþ·Á¥Ö¥é¥¤¥ó¥É¿®¹æ¸»Ê¬Î¥
Ãø¼Ô ¡ý·ª¸¶ ÂóºÈ (ÆüËܹ©¶ÈÂç³ØÂç³Ø±¡Åŵ¤¹©³ØÀ칶), ¿ÀÌî ·òºÈ (ÆüËܹ©¶ÈÂç³ØÅŵ¤ÅŻҹ©³Ø²Ê)
Pagepp. 267 - 272
Keyword ÈóÀþ·Á¥Ö¥é¥¤¥ó¥É¿®¹æ¸»Ê¬Î¥, γ»Ò·²ºÇŬ²½Ë¡
Abstract¿®¹æʬΥµ»½Ñ¤Ç¤¢¤ë¥Ö¥é¥¤¥ó¥É¿®¹æ¸»Ê¬Î¥¤¬¶áǯ¸¦µæ¤µ¤ì¤Æ¤¤¤ë¡¥ Ëܸ¦µæ¤Ç¤Ï¡¤º®¹ç·Ï¤¬ÈóÀþ·Á¤Ë³ÈÄ¥¤µ¤ì¤¿ÈóÀþ·Á¥Ö¥é¥¤¥ó¥É¿®¹æ¸»Ê¬Î¥¤òγ»Ò·²ºÇŬ²½Ë¡¤òÍѤ¤¤Æ¹Ô¤¤¡¤¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤ê¡¤Àþ·Á¤Ë²Ã¤¨ÈóÀþ·Á¤ò´Þ¤à¾ì¹ç¤Ç¤âʬΥ¤¬¹Ô¤¨¤ë¤³¤È¤ò¼¨¤¹¡¥

An2-1-3 (»þ´Ö: 10:05 - 10:30)
Âê̾EMµé¥¤¥ó¥Ð¡¼¥¿¤ÈEµéÀ°Î®´ï¤«¤é¹½À®¤µ¤ì¤ë¹â¼þÇÈ¿ô¹â¸úΨ¶¦¿¶·¿¥³¥ó¥Ð¡¼¥¿
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Pagepp. 273 - 278
Keyword Resonant converter, Class-EM inverter, Class-E rectifier, Circuit design


¥»¥Ã¥·¥ç¥ó An2-2 ÆÃÊÌ¥»¥Ã¥·¥ç¥ó¡§À¸ÂΤˤª¤±¤ëÈóÀþ·ÁÆ°ÎϳؤδðÁäȱþÍÑ
Æü»þ: 2013ǯ7·î30Æü(²Ð) 10:45-12:00
Éô²°: 301A¼¼
ºÂĹ: À¶¿å Ë®¹¯ (ÀéÍÕ¹©¶ÈÂç³Ø)

An2-2-1 (»þ´Ö: 10:45 - 11:15)
Âê̾(¾·ÂÔ) ȯÀ¼¤Ë¤ª¤±¤ëÈóÀþ·ÁÆ°ÎϳؤδðÁäȱþÍÑ
Ãø¼Ô ¡ûÆÁÅÄ ¸ù (Ω̿´ÛÂç³Ø Íý¹©³ØÉô µ¡³£¹©³Ø²Ê)
Pagepp. 279 - 279
Keyword Voice production, Nonlinear dynamics, Bioacoustics
Abstract²»À¼À¸À®¤Ï¡¢Â礭¤¯Ê¬¤±¤Æ¡¢À¼ÂÓ¿¶Æ°¤Ë¤è¤ë²»¸»À¸À®¤ÈÀ¼Æ»¤Ë¤è¤ëÄ´²»¥Õ¥£¥ë¥¿¤ÎÆó¤Ä¤«¤é¤Ê¤Ã¤Æ¤¤¤ë¡¥À¼Æ»¤Î²»¶ÁÆÃÀ­¤¬Àþ·Áͽ¬¥Õ¥£¥ë¥¿¤Ç¤è¤¯¶á»÷¤Ç¤­¤ë¤³¤È¤«¤é¡¢²»À¼À¸À®¤ÏÀþ·Á¥·¥¹¥Æ¥à¤È¤·¤Æª¤¨¤é¤ì¤ë¤³¤È¤¬Â¿¤¤¡¥¤¿¤À¤·¡¢²»¸»¤òÀ¸À®¤¹¤ëÀ¼ÂÓ¿¶Æ°¤Ï¶¯¤¤ÈóÀþ·ÁÀ­¤ò¤â¤Á¡¢¾ò·ï¤Ë¤è¤Ã¤Æ¤Ïʬ¿ôÄ´ÇÈ(subharmonics)¡¢½à¼þ´ü¿¶Æ°(quasi-periodicity)¡¢¥«¥ª¥¹(chaos)¡¢¤½¤·¤Æʬ´ô¸½¾Ý(bifurcations)¤Ê¤É¤¬¤ß¤é¤ì¤ë¡¥Ä̾ï¤Î²»À¼Ê¬ÀϤǤϡ¢²»¸»¤È¥Õ¥£¥ë¥¿¤ÏÆÈΩ¤È²¾Äꤵ¤ì¤Æ¤¤¤ë¤¬¡¢²ÎÀ¼¤Ê¤É¤ÎȯÀ¼¾ò·ï¤Ç¤Ï¡¢¤³¤ÎÆÈΩÀ­¤¬¼º¤ï¤ì¡¢²»¸»¤ÈÀ¼Æ»¤Î´Ö¤ËÈóÀþ·Á´³¾Ä¤¬µ¯¤³¤ë¤³¤È¤âÃΤé¤ì¤Æ¤¤¤ë¡¥ËÜȯɽ¤Ç¤Ï¡¢²»À¼À¸À®¤Î´ðÁ䫤é»Ï¤á¤Æ¡¢Àþ·ÁÍýÏÀ¤Ç¤ÏÀâÌÀ¤Î¤Ä¤«¤Ê¤¤²»À¼¤ÎÈóÀþ·Á¸½¾Ý¤Ë¤Ä¤¤¤Æ³µ´Ñ¤¹¤ë¡¥±þÍѤȤ·¤Æ¡¢ÉÂÍýȯÀ¼¡¢²ÎÀ¼¤Ë¤ª¤±¤ëÀ¼¶è¤ÎÁ«°Ü¡¢À¸Êª²»¶Á(¼êĹ¥µ¥ë¤ÎȯÀ¼)¤Ë ¤ª¤±¤ë²»¸»¡Ý¥Õ¥£¥ë¥¿´³¾Ä¤Ë¤Ä¤¤¤Æ¾Ò²ð¤¹¤ë¡¥

An2-2-2 (»þ´Ö: 11:15 - 11:35)
Âê̾Modulation of Beta and Gamma Oscillations of LFP in Monkey Medial Motor Cortex
Ãø¼Ô ¡ýRyosuke Hosaka (Fukuoka University), Toshi Nakajima (Tohoku University), Kazuyuki Aihara (The University of Tokyo), Yoko Yamaguchi (RIKEN BSI), Hajime Mushiake (Tohoku University)
Pagepp. 280 - 284
Keyword oscillation, LFP, Beta, Gamma

An2-2-3 (»þ´Ö: 11:35 - 11:55)
Âê̾·ë¹çÆî±À¡¦º´Æ£¥â¥Ç¥ë¤Ë¤ª¤±¤ëʬ´ô²òÀÏ
Ãø¼Ô ¡ý°ËÆ£ ÂçÊå, ¾åÅÄ Å¯»Ë (ÆÁÅçÂç³Ø)
Pagepp. 285 - 288
Keyword border-collision, ʬ´ô²òÀÏ, Æî±À¡¦º´Æ£¥â¥Ç¥ë
AbstractÆî±À¡¦º´Æ£¥â¥Ç¥ë¤Ï¶èʬÀþ·Á¤Çɽ¸½¤µ¤ì¤¿¿À·Ð·Ï¤Î¿ô³ØŪ¥â¥Ç¥ë¤Ç¤¢¤ë.¤³¤Î¥â¥Ç¥ë¤ÏÈó³ê¤é¤«¤ÊÆÃÀ­¤ò »ý¤Á,¾ò·ïÉÕ¤±¤µ¤ì¤¿ïçÃͤˤè¤Ã¤ÆÉÔϢ³¤Ê¿¶¤ëÉñ¤¤¤ò¹Ô¤¦¤¿¤á,¥Ï¥¤¥Ö¥ê¥Ã¥É¥·¥¹¥Æ¥à¤È¤·¤ÆʬÎव¤ì¤ë.Ëܸ¦µæ ¤Ç¤Ï,Æî±À¡¦º´Æ£¥â¥Ç¥ë¤òÆó¸Äº¹Ê¬·ë¹ç¤·¤¿ºÝ¤Îʬ´ô¤ò¿ô³ØŪ¤Ë·×»»¤·Ê¬´ô¿Þ¤òÆÀ¤¿.¤³¤ì¤è¤ê,ÃdzŪ¤ÊÆÃÀ­¤ò»ý ¤ÄÎ¥»¶»þ´Ö·Ï¤Ë¤Ä¤¤¤Æ¤âʬ´ô²òÀϤ¬²Äǽ¤Ç¤¢¤ë¤³¤È¤ò¼¨¤¹.¤³¤Î¥â¥Ç¥ë¤Ç¤Ï¿¿ô¤Î border-collision ʬ´ô¤È,¥«¥ª¥¹¤Ø ¤È·Ò¤¬¤ëÀÜÀþʬ´ô¤¬È¯À¸¤¹¤ë.¤Þ¤¿,¥Ñ¥é¥á¡¼¥¿¤òÊѲ½¤¹¤ë¤³¤È¤Ë¤è¤ê¸«¤¨¤ëÍÍ¡¹¤ÊÆÃÀ­¤òµÄÏÀ¤¹¤ë.


¥»¥Ã¥·¥ç¥ó An2-3 ³Ø½¬¤ÈºÇŬ²½
Æü»þ: 2013ǯ7·î30Æü(²Ð) 13:30-14:45
Éô²°: 301A¼¼
ºÂĹ: ¾¾²¬ Í´²ð (Êƻҹ©¶È¹âÅùÀìÌç³Ø¹»)

An2-3-1 (»þ´Ö: 13:30 - 13:55)
Âê̾Basic Dynamics of Cellular Automata with Mixed Rules
Ãø¼Ô ¡ýß·»³ ÎÉ, ºØÆ£ ÍøÄÌ (Ë¡À¯Âç³Ø)
Pagepp. 289 - 292
Keyword CA

An2-3-2 (»þ´Ö: 13:55 - 14:20)
Âê̾¥Ö¥í¥Ã¥¯Ï¢Â³»þ´ÖCT²èÁüºÆ¹½À®¥·¥¹¥Æ¥à¤ÎÅŻҲóÏ©¼ÂÁõ
Ãø¼Ô ¡ýÀÖÀÐ ¾Í¾´ (ÆÁÅçÂç³ØÂç³Ø±¡ÊÝ·ò²Ê³Ø¶µ°éÉô), ÈÓÅÄ ¿Î (ÆÁÅçÂç³ØÂç³Ø±¡¥½¥·¥ª¥Æ¥¯¥Î¥µ¥¤¥¨¥ó¥¹¸¦µæÉô), Æ£ËÜ ·û»Ô, µÈ±Ê ůºÈ (ÆÁÅçÂç³ØÂç³Ø±¡¥Ø¥ë¥¹¥Ð¥¤¥ª¥µ¥¤¥¨¥ó¥¹¸¦µæÉô)
Pagepp. 293 - 298
Keyword CT²èÁüºÆ¹½À®, µÕÌäÂê, ºÇŬ²½, ¥Ï¥¤¥Ö¥ê¥Ã¥É¥·¥¹¥Æ¥à, ÅŻҲóÏ©¼ÂÁõ
AbstractÃø¼Ô¤é¤Ï¡¤CTµÕÌäÂ꤫¤éƳ¤«¤ì¤¿ºÇ¾®²½ÌäÂê¤ò¾ïÈùʬÊýÄø¼°·Ï¤Îµá²òÌäÂê¤Ëµ¢Ã夵¤»¡¤Ê£¿ô¤Î¥Ö¥í¥Ã¥¯¤Ëʬ³ä¤µ¤ì¤¿Åê±Æ¥Ç¡¼¥¿¤ÈÅê±ÆºîÍÑÁǤòÀÚ¤êÂؤ¨¤Ê¤¬¤éCT²èÁü¤òºÆ¹½À®¤¹¤ë¥·¥¹¥Æ¥à¡Ê¥Ö¥í¥Ã¥¯Ï¢Â³»þ´ÖCT²èÁüºÆ¹½À®¥·¥¹¥Æ¥à¤È¤è¤Ö¡Ë¤òÄó°Æ¤·¤Æ¤¤¤ë¡¥ËÜÄó°Æ¥·¥¹¥Æ¥à¤Ï»þ´Ö°Í¸¤Î¥¹¥¤¥Ã¥Á¥ó¥°¤ò´Þ¤àϢ³»þ´ÖÎϳطϤǵ­½Ò¤µ¤ì¤ë¥Ï¥¤¥Ö¥ê¥Ã¥É¥·¥¹¥Æ¥à¤È¤Ê¤ê¡¤¥¢¥Ê¥í¥°¡Ý¥Ç¥£¥¸¥¿¥ëº®ºß²óÏ©¤È¤·¤Æ¹½À®¤Ç¤­¤ë¡¥ËÜÏÀʸ¤Ç¤Ï¡¤¾¯¿ôÅê±Æ¥Ç¡¼¥¿¤È¾¯¿ô²èÁǤβèÁü¤«¤é¹½À®¤µ¤ì¤ëÄ㼡¸µCTµÕÌäÂê¤òÂоݤȤ·¡¤¤½¤Î²ò¤òµá¤á¤ë¤¿¤á¤ÎÅŻҲóÏ©¤ÎÀ߷פª¤è¤Ó»îºîÅŻҲóÏ©¤ÎÆ°ºî¸¡¾Ú·ë²Ì¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë¡¥

An2-3-3 (»þ´Ö: 14:20 - 14:45)
Âê̾»þÊÑÆß´¶º¹Ê¬¿Ê²½¤Î´ðËÜõº÷ÆÃÀ­¤Ë¤Ä¤¤¤Æ
Ãø¼Ô ¡ý°ÂÆ£ ľ¿Í, ¼²¬ À¯ºÈ, ºØÆ£ ÍøÄÌ (Ë¡À¯Âç³Ø)
Pagepp. 299 - 302
Keyword ºÇŬ²½, º¹Ê¬¿Ê²½


¥»¥Ã¥·¥ç¥ó An2-4 ¥Ë¥å¡¼¥é¥ë¥·¥¹¥Æ¥à¤Î¹©³ØŪ±þÍÑ
Æü»þ: 2013ǯ7·î30Æü(²Ð) 15:00-16:15
Éô²°: 301A¼¼
ºÂĹ: ¾¾²¼ ½ÕÆà (¹áÀîÂç³Ø)

An2-4-1 (»þ´Ö: 15:00 - 15:25)
Âê̾ͭ¸þ¥°¥é¥Õ¤Ë¤ª¤±¤ëMaximum-Flow Neural Network¤ÎºÇ¾®¥«¥Ã¥ÈÌäÂê¤Ø¤ÎŬÍÑ
Ãø¼Ô ¡ýº´Æ£ ²í½Ó (¼óÅÔÂç³ØÅìµþ ¥·¥¹¥Æ¥à¥Ç¥¶¥¤¥ó³ØÉô), ÅÄÃæ êÌ (¾åÃÒÂç³Ø Íý¹©³ØÉô)
Pagepp. 303 - 308
Keyword ºÇ¾®¥«¥Ã¥ÈÌäÂê, Maximum Flow Nerural Network, ÈóÀþ·ÁÄñ¹³²óÏ©²òÀÏ
AbstractËÜÏÀʸ¤Ç, ²æ¡¹¤ÏMF-NN¤òÍøÍѤ·¤¿Í­¸þ¥°¥é¥Õ¤Ë¤ª¤±¤ë¿·¤·¤¤ºÇ¾®¥«¥Ã¥È¤Î²òË¡¤òÄó°Æ¤¹¤ë. MF-NN¤ò»È¤Ã¤¿Äó°Æ¼êË¡¤Ï, ¥Õ¥©¡¼¥É-¥Õ¥¡¥ë¥«¡¼¥½¥ó¤Î¥¢¥ë¥´¥ê¥º¥à¤ò»È¤Ã¤¿ºÇ¾®¥«¥Ã¥È¥¢¥ë¥´¥ê¥º¥à¤ÈƱ¤¸¥×¥í¥»¥¹¤ò¤¿¤É¤ë¤Î¤Ç, MF-NN¤òºÇ¾®¥«¥Ã¥È¥¢¥ë¥´¥ê¥º¥à¤È¤·¤ÆŬ±þ¤¹¤ë»ö¤¬²Äǽ¤Ç¤¢¤ë. MF-NN¤Î¾õÂÖÊýÄø¼°¤Ï³ÆÀáÅÀ¤ÎÀáÅÀÅÅ°µ¤Ë´Ø¤¹¤ëϢΩÈùʬÊýÄø¼°¤ÇÄêµÁ¤µ¤ì, ¤³¤ÎϢΩÈùʬÊýÄø¼°¤Î²ò¤òÍøÍѤ¹¤ë¤³¤È¤ÇºÇ¾®¥«¥Ã¥È¤¬µá¤Þ¤ë. ¤³¤ì¤Ë¤è¤ê, ¥Õ¥©¡¼¥É-¥Õ¥¡¥ë¥«¡¼¥½¥ó¤Î¥¢¥ë¥´¥ê¥º¥à¤Î¤è¤¦¤Ë"¥Õ¥í¡¼¥Í¥Ã¥È¥ï¡¼¥¯Á´ÂÎ¤Î¥Õ¥í¡¼¤ÎʬÉÛ¤äºÇÂç¥Õ¥í¡¼¤òµá¤á¤Ê¤±¤ì¤Ð¤Ê¤é¤Ê¤¤"¤È¤¤¤¦²áÄø¤ò·Ð¤ë¤³¤È¤Ê¤¯ºÇ¾®¥«¥Ã¥È¤òÆÀ¤ë¤³¤È¤¬²Äǽ¤È¤Ê¤ë. ¤µ¤é¤Ë, ¤³¤Î¸¦µæ¤ÏºÇ¾®¥«¥Ã¥ÈÌäÂ꤬Äñ¹³²óÏ©²òÀϤˤè¤Ã¤Æ²ò¤±¤ë¤³¤È¤ò¼¨º¶¤·¤Æ¤ª¤ê, ºÇ¾®¥«¥Ã¥È¥¢¥ë¥´¥ê¥º¥à¤Î·×»»»þ´Ö¤Î¹â®²½¤¬´üÂԤǤ­¤ë.

An2-4-2 (»þ´Ö: 15:25 - 15:50)
Âê̾ưŪ¥Ð¥¤¥Ê¥ê¡¼¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¤Î¥¹¥¤¥Ã¥Á¥ó¥°²óÏ©¤Ø¤Î±þÍÑ
Ãø¼Ô ¡ý¾å·î ÎÉÂÀ, Ã滳 ͺÂÀ, ºØÆ£ ÍøÄÌ (Ë¡À¯Âç³Ø)
Pagepp. 309 - 312
Keyword ¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È, ³Ø½¬
AbstractÍÍ¡¹¤Ê¼þ´ü·ÏÎó¤òÄ褹¤ë¤³¤È¤¬¤Ç¤­¤ëưŪ¥Ð¥¤¥Ê¥ê¡¼¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¤È, ¤½¤Î¿Ê²½Åª³Ø½¬¥¢¥ë¥´¥ê¥º¥à¤ò¾Ò²ð¤·, ¥Þ¥È¥ê¥Ã¥¯¥¹¥³¥ó¥Ð¡¼¥¿À©¸æ¿®¹æ¤Ø¤Î±þÍѤˤĤ¤¤Æ¹Í»¡¤¹¤ë.

An2-4-3 (»þ´Ö: 15:50 - 16:15)
Âê̾Avoiding Packet Congestion Strategy by Chaotic Neurodynamics for Complex Communication Networks
Ãø¼Ô ¡ýTakayuki Kimura (Nippon Institute of Technology), Tohru Ikeguchi (Saitama University)
Pagepp. 313 - 318
Keyword Optimization, Chaotic Neurdynamics, Packet Routing Problems
AbstractTo establish reliable communicate between end users, alleviation of the congestion of packets in the commu- nication networks is the most important problem. As one of the effective routing strategies for reliable communication, we have also proposed a routing strategy with chaotic neurodynamics. By a refractory effect which is the most important effect of chaotic neuron, the routing strategy shows high performance for communication networks as compared to the shortest path approach. We examine the performance of the chaotic routing method using under realistic conditions by using realistic topologies of the computer networks and the packet congestion phenomena in this paper. Results show that the proposed chaotic routing strategy keeps the highest arrival rate of the packets as compared to the conventional routing strategies by avoiding the congestion of the packets effectively.


¥»¥Ã¥·¥ç¥ó Ba2-1 ÅŸ»²óÏ©
Æü»þ: 2013ǯ7·î30Æü(²Ð) 9:15-10:30
Éô²°: 301B¼¼
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Ba2-1-1 (»þ´Ö: 9:15 - 9:33)
Âê̾ÄãÅÅ°µ¥¨¥Í¥ë¥®¡¼¡¦¥Ï¡¼¥Ù¥¹¥Æ¥£¥ó¥°¤Ë¸þ¤±¤¿0.27-VÆþÎÏ¡¤¸úΨ75%¡¤¥ª¥ó¥Á¥Ã¥×¡¦¥Á¥ã¡¼¥¸¥Ý¥ó¥×²óÏ©
Ãø¼Ô ¡ýĹ°æ ¿ò¹À, ×¢À¥ ůÌé, ÄØ ·¼»Ö, ¹õÌÚ ½¤Î´, ¾Â ¾»¹¨ (¿À¸ÍÂç³Ø Âç³Ø±¡¹©³Ø¸¦µæ²Ê Åŵ¤ÅŻҹ©³ØÀ칶)
Pagepp. 319 - 324
Keyword ¥¨¥Í¥ë¥®¡¼¡¦¥Ï¡¼¥Ù¥¹¥Æ¥£¥ó¥°, ÅŸ»²óÏ©, ¾º°µ¥³¥ó¥Ð¡¼¥¿, ¥Á¥ã¡¼¥¸¥Ý¥ó¥×, ĶÄãÅÅÎÏ
AbstractËܹƤǤϡ¤¥¨¥Í¥ë¥®¡¼¡¦¥Ï¡¼¥Ù¥¹¥Æ¥£¥ó¥°¤Ë¸þ¤±¤Æ¡¤Éé²ÙÅÅήÆÃÀ­¤ò²þÁ±¤·¤¿¥Á¥ã¡¼¥¸¥Ý¥ó¥×¤òÄó°Æ¤¹¤ë¡¥Äó°Æ¥Á¥ã¡¼¥¸¥Ý¥ó¥×¤Ï¡¤½¾Íè¤Î¥¯¥í¥¹¥«¥Ã¥×¥ë·¿¥Á¥ã¡¼¥¸¥Ý¥ó¥×¤Ë¡¤nMOS¥É¥é¥¤¥Ð²óÏ©¤ª¤è¤ÓpMOS¥É¥é¥¤¥Ð²óÏ©¤òÁȤ߹þ¤à¤³¤È¤Ç¡¤¥¹¥¤¥Ã¥Á¤ÎÆ°ºîÆÃÀ­¤ò²þÁ±¤·¡¤Éý¹­¤¤Éé²ÙÅÅήÈϰϤò¼Â¸½¤¹¤ë¡¥Äó°Æ¥Á¥ã¡¼¥¸¥Ý¥ó¥×¤Ë¤è¤ê¾º°µ¥³¥ó¥Ð¡¼¥¿¤ò¹½À®¤·»îºîɾ²Á¤ò¹Ô¤¤¡¤Éé²ÙÅÅή¤¬30uA¤Î¤È¤­¡¤0.5V¤ÎÆþÎÏÅÅ°µ¤ò1.3V¤Î½ÐÎÏÅÅ°µ¤ËÅÅÎÏÊÑ´¹¸úΨ75%¤ÇÊÑ´¹²Äǽ¤Ç¤¢¤ë¤³¤È¤ò³Îǧ¤·¤¿¡¥¤Þ¤¿¡¤¾º°µ¥³¥ó¥Ð¡¼¥¿¤ÎºÇ¾®ÆþÎÏÅÅ°µ¤Ï0.27V¤Ç¤¢¤ê¡¤ÂÀÍÛÅÅÃӤʤɤε¯ÅÅ°µ¤¬Ä㤤¥¨¥Í¥ë¥®¡¼¡¦¥Ï¡¼¥Ù¥¹¥Æ¥£¥ó¥°¥Ç¥Ð¥¤¥¹¤ËÂФ·¤ÆÍ­¸ú¤Ç¤¢¤ë¡¥

Ba2-1-2 (»þ´Ö: 9:33 - 9:51)
Âê̾2Áê¼°¹ß°µ·ÁDC-DC¥³¥ó¥Ð¡¼¥¿¤Ø¤Î¥Õ¥£¡¼¥É¥Õ¥©¥ï¡¼¥É·¿¦¤¦²ÊÑÄ´À©¸æ¤ÎŬÍÑ
Ãø¼Ô ¡ý¶âë ¹ÀÂÀϺ, ÅÄÃæ ½ÙÍ´, ²¬ÅÄ ¹Í»Ö, ¹â°æ ¿­ÏÂ, ¾®ËÙ ¹¯¸ù, ¾®ÎÓ ½ÕÉ× (·²ÇÏÂç³Ø), ¾®Åĸý µ®¹¨, »³¸ý ůÆó, ¾åÅÄ ¸øÂç (AKM¥Æ¥¯¥Î¥í¥¸¡¼), ¾¾ÅÄ ½ç°ì (°°²½À®¥Ñ¥ï¡¼¥Ç¥Ð¥¤¥¹)
Pagepp. 325 - 329
Keyword ¦¤¦²ÊÑÄ´, ¥Þ¥ë¥Á¥Õ¥§¡¼¥º, DC-DC¥³¥ó¥Ð¡¼¥¿
AbstractÅŸ»²óÏ©¤Ï»ÈÍѤ¹¤ë¥¢¥×¥ê¥ì¡¼¥·¥ç¥ó¤Ø°ÂÄꤷ¤¿Ä¾Î®ÅÅ°µ¤ò¶¡µë¤¹¤ë¤¬¡¢PC¤Ê¤É¤ÎCPU¤Ç¤Ï¾ÃÈñÅÅÎϤ¬Â礭¤¤¤¿¤á¡¢ÄãÅÅ°µÂçÅÅή¤ÎÅŸ»²óÏ©¤¬É¬Í×ÉԲķç¤È¤Ê¤ë¡£¤·¤«¤·¡¢ÄãÅÅ°µÂçÅÅή¤ÎÅŸ»²óÏ©¤Ç¤ÏÂçÅÅή¤Î±Æ¶Á¤ò¼õ¤±¤Æ½ÐÎÏÅÅ°µ¤Î¥ê¥×¥ë¤¬Â礭¤¯¤Ê¤ë¤Û¤«¡¢½ÐÎÏÉé²ÙÊÑÆ°»þ¤Ë¤Ï¥¢¥ó¥À¡¼¥·¥å¡¼¥È¤ä¥ª¡¼¥Ð¡¼¥·¥å¡¼¥È¤¬Â礭¤¯¸½¤ì¤ë¡£¤½¤³¤Ç¡¢½¾Íè¤ÎPWMÀ©¸æ¤ËÂå¤ï¤ê¡¢¦¤¦²ÊÑÄ´À©¸æ¤òŬÍѤ¹¤ë»ö¤Ç½ÐÎÏÅÅ°µ¤Î¹â®±þÅú¤ò²þÁ±¤·ÂçÅÅή¤Î½ÐÎÏÅÅ°µ¤Ø¤Î±Æ¶Á¤òÄ㸺¤¹¤ë¡£¤³¤ÎÏÀʸ¤Ç¤Ï¤è¤êÁᤤ¹â®²áÅϱþÅú¤ò¼Â¸½¤¹¤ë¤¿¤á¥Õ¥£¡¼¥É¥Õ¥©¥ï¡¼ ¥É·¿¦¤¦²ÊÑÄ´´ï¤Ë¤Ä¤¤¤ÆÃåÌܤ·¡¢2Áê¼°DC-DC¥³¥ó¥Ð¡¼¥¿¤Ø¤ÎŬÍѤˤĤ¤¤ÆÄó°Æ¤¹¤ë¡£

Ba2-1-3 (»þ´Ö: 9:51 - 10:09)
Âê̾¥Ò¥¹¥Æ¥ê¥·¥¹À©¸æ¤òÍѤ¤¤¿Ã±°ì¥¤¥ó¥À¥¯¥¿2½ÐÎÏDC-DC¥¹¥¤¥Ã¥Á¥ó¥°ÅŸ»
Ãø¼Ô ¡ýÅÄÃæ ½ÙÍ´, ĹÅç äÆÁ, ¾®ËÙ ¹¯¸ù, ¶âë ¹ÀÂÀϺ, ²¬ÅÄ ¹Í»Ö, ºæ ¹·¹À, ¹â°æ ¿­ÏÂ, ¾®ÎÓ ½ÕÉ× (·²ÇÏÂç³ØÍý¹©³ØÉÜ), ¾®Åĸý µ®¹¨, »³¸ý ůÆó, ¾åÅÄ ¸øÂç (AKM¥Æ¥¯¥Î¥í¥¸¡¼), ¾¾ÅÄ ½ç°ì (°°²½À®¥Ñ¥ï¡¼¥Ç¥Ð¥¤¥¹)
Pagepp. 330 - 334
Keyword ñ°ì¥¤¥ó¥À¥¯¥¿Æó½ÐÎÏÅŸ», ¥Ò¥¹¥Æ¥ê¥·¥¹À©¸æ
AbstractÅŻҵ¡´ï¤Ë¤ÏÅÅ°µ¤Î°ÂÄ궡µë¤Î¤¿¤á¤Ë¿¿ô¤Î¥¹¥¤¥Ã¥Á¥ó¥°ÅŸ»¤¬Â¸ºß¤·¤½¤Î²óÏ©ÌÌÀѤòÂ礭¤¯Àê¤á¤ë¤Î¤Ï¥¤¥ó¥À¥¯¥¿¤Ç¤¢¤ë¡£Â¿¿ô¤Î¥¹¥¤¥Ã¥Á¥ó¥°ÅŸ»¤ò¾®·¿²½¤¹¤ë¼êË¡¤È¤·¤Æ1¤Ä¤Î¥¤¥ó¥À¥¯¥¿¤Ë¤è¤ê¿¿ô¤ÎÅÅ°µ¤ò½ÐÎϤ¹¤ëñ°ì¥¤¥ó¥À¥¯¥¿¡¦¥Þ¥ë¥Á½ÐÎÏ (Single Inductor Multiple Output - SIMO) ÅŸ»¤¬¸¦µæ¤µ¤ì¤Æ¤¤¤ë¡£²æ¡¹¤ÏSIMOÅŸ»¤È¥Ò¥¹¥Æ¥ê¥·¥¹À©¸æ¤ËÃíÌܤ·¡¢²óÏ©¤Î¾®·¿²½¡¢¹â®±þÅú¤òÌÜɸ¤Ë¸¦µæ¤ò¹Ô¤Ã¤Æ¤¤¤ë¡£ËÜÏÀʸ¤Ç¤Ï¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤È¼ÂÁõ¤Ë¤è¤Ã¤Æ¡¢¥Ò¥¹¥Æ¥ê¥·¥¹ÊÒ¦À©¸æ¤òÍѤ¤¤Æ¹ß°µ·Á¤Îñ°ì¥¤¥ó¥À¥¯¥¿Ã±½ÐÎϤÎÆ°ºî¤ÈÀ­Ç½¤ò³Îǧ¤·¡¢Äó°Æ¤·¤¿À©¸æ¤òñ°ì¥¤¥ó¥À¥¯¥¿2½ÐÎÏÅŸ»¤ËŬÍѤ·¤ÆÆ°ºî¤ò³Îǧ¤·¤¿¡£

Ba2-1-4 (»þ´Ö: 10:09 - 10:27)
Âê̾ÅŸ»²óÏ©¤Ë¤ÆÍѤ¤¤é¤ì¤ëÄãÅÅ°µ·¿¹âÀºÅÙ CMOS ¥«¥ì¥ó¥È¥ß¥é¡¼²óÏ©¤ÎÄó°Æ
Ãø¼Ô ¡ýËÜÅç ÂçÃÏ, Ìý°æ »Ëŵ, ¹â°æ ¿­ÏÂ, ¾®ÎÓ ½ÕÉ× (·²ÇÏÂç³Ø)
Pagepp. 335 - 339
Keyword ¥«¥ì¥ó¥È¥ß¥é¡¼²óÏ©, ¥Á¥ã¥Í¥ëĹÊÑÄ´, ÄãÅÅ°µÆ°ºî, ²óÏ©ÌÌÀÑ


¥»¥Ã¥·¥ç¥ó Ba2-2 ¥»¥ó¥µ²óÏ©
Æü»þ: 2013ǯ7·î30Æü(²Ð) 10:45-12:00
Éô²°: 301B¼¼
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Ba2-2-1 (»þ´Ö: 10:45 - 11:03)
Âê̾²óÏ©¤Ø¤ÎÁȤ߹þ¤ß¤¬²Äǽ¤Ê¿ü»ÒMOSFET²¹ÅÙ¸¡½ÐÁǻҤκîÀ½µÚ¤Óɾ²Á
Ãø¼Ô ¡ýÃÝÆâ ¹¨²ð, ÇßÄŠůÌé, ¸¶ÅÄ ÃÎ¿Æ (»³·ÁÂç³ØÂç³Ø±¡Íý¹©³Ø¸¦µæ²ÊÅŵ¤ÅŻҹ©³ØÀ칶)
Pagepp. 340 - 345
Keyword ²¹ÅÙ¥»¥ó¥µ, ¿ü»ÒMOSFET
AbstractËܸ¦µæ¤Ç¤Ï¡¢½¸ÀѲóÏ©¤ÎÆ°ºî¤ò˸¤²¤º¡¢ÅŰ̺¹¤òÆɤ߼è¤ë¤³¤È¤ÇÏĤߡ¦²¹ÅÙ¤ò¥È¥é¥ó¥¸¥¹¥¿Ã±ÂΤǸ¡½Ð¤Ç¤­¤ëÁǻҤμÂÍѲ½¤òÌÜŪ¤È¤·¡¢¤½¤Î¤¿¤á¤Ë²óÏ©¤Ø¤ÎÁȤ߹þ¤ß¤¬²Äǽ¤Ê¿ü»ÒMOSFET¤òÍѤ¤¤¿²¹ÅÙ¸¡½ÐÁǻҤκîÀ½¤ª¤è¤Óɾ²Á¤ò¹Ô¤Ã¤¿¡£

Ba2-2-2 (»þ´Ö: 11:03 - 11:21)
Âê̾5ü»ÒMOSFET·¿±þÎϸ¡½ÐÁǻҤαþÎϸ¡½ÐÆ°ºî¤Îɾ²Á
Ãø¼Ô ¡û¸¶ÅÄ ÃοÆ, ÇßÄŠůÌé, ÃÝÆâ ¹¨²ð (»³·ÁÂç³Ø Âç³Ø±¡Íý¹©³Ø¸¦µæ²Ê Åŵ¤ÅŻҹ©³ØÀ칶)
Pagepp. 346 - 350
Keyword ±þÎÏ¥»¥ó¥µ, MOSFET, µ¼»÷¥Û¡¼¥ë¸ú²Ì
Abstract¸½ºß¡¢IC¤äLSI¤Ê¤É¤ÎȾƳÂÎÀ½ÉʤÏ¿¤¯¤ÎÅŻҵ¡´ï¤ËÍѤ¤¤é¤ì¤Æ¤¤¤ë¡£¤³¤ì¤é¤Î¥Á¥Ã¥×¼ÂÁõÊýË¡¤Ë¤è¤ê¿ô½½~¿ôÉ´MPa¤Î±þÎϤ¬È¯À¸¤·²óÏ©ÆÃÀ­¤ÎÊѲ½¤¬À¸¤¸¤ë¡£¤½¤Î¤¿¤á¡¢¥Á¥Ã¥×¤Î¼ÂÁõ´Ä¶­²¼¤Ë¤ª¤±¤ë±þÎϤÎɾ²Á¤ò¤ª¤³¤Ê¤¦¤³¤È¤¬É¬ÍפȤʤ롣¤½¤³¤Ç¡¢Ëܸ¦µæ¤Ç¤Ï¡¢½¸ÀѲóÏ©¤Ç»È¤ï¤ì¤ëƱ¤¸MOSFET¤òÍѤ¤¡¢²óÏ©¼«ÂΤÎÆ°ºî¤Ë±Æ¶Á¤òÍ¿¤¨¤º¡¢²óÏ©¤òÆ°ºî¤µ¤»¤Ê¤¬¤é¤Î±þÎϸ¡½Ð¤ò¼Â¸½¤¹¤ë¤¿¤á¡¢µ¼»÷¥Û¡¼¥ë¸ú²Ì¤ò±þÎϸ¡½Ð¸¶Íý¤È¤·¤¿5ü»ÒMOSFET·¿±þÎϸ¡½ÐÁǻҤαþÎϸ¡½ÐÆ°ºî¤Îɾ²Á¤òÌÜŪ¤È¤¹¤ë¡£Ëܸ¦µæ¤Ç¤ÏÆäˡ¢nMOSFET¤ò¥Ù¡¼¥¹¤Ë»îºî¤·¤¿5ü»ÒMOSFET·¿±þÎϸ¡½ÐÁǻҤˤĤ¤¤ÆÊó¹ð¤¹¤ë¡£

Ba2-2-3 (»þ´Ö: 11:21 - 11:39)
Âê̾Ä㻨²»¥¹¥¤¥Ã¥Á¥È¥­¥ã¥Ñ¥·¥¿ÅÅήÀÑʬ²óÏ©¤Î¹½À®
Ãø¼Ô ¡û¥Ë¥³¥Ç¥à¥¹ ¥ì¥Ç¥£¥¢¥ó, ¹âÌÚ Ìй§ (Åìµþ¹©¶ÈÂç³Ø)
Pagepp. 351 - 356
Keyword ¥¹¥¤¥Ã¥Á¥È¥­¥ã¥Ñ¥·¥¿²óÏ©, ÅÅήÀÑʬ´ï, Áê´ØÆó½Å¥µ¥ó¥×¥ê¥ó¥°
AbstractËܹƤǤϥ¹¥¤¥Ã¥Á¥È¥­¥ã¥Ñ¥·¥¿ÀÑʬ²óÏ©¤ËÁê´ØÆó½Å¥µ¥ó¥×¥ê¥ó¥°¼êË¡¤òŬÍѤ·¤¿ºÝ¤ÎÌäÂêÅÀ¤Ç¤¢¤ë¥¹¥¤¥Ã¥Á¤ÎÍ­¸Â¥ª¥ÕÄñ¹³¤ª¤è¤Ó±é»»ÁýÉý´ï¤ÎÍ­¸ÂÍøÆÀÂÓ°èÉýÀÑ¡¤ÆþÎÏü»ÒÉտ魯¤ë´óÀ¸ÍÆÎ̤αƶÁ¤òÌÀ¤é¤«¤Ë¤·¤¿¡¥½¾Íè²óÏ©¤Ç¤ÏÁÛÄꤷ¤Æ¤¤¤Ê¤«¤Ã¤¿ÆþÎÏľήÅÅή¤ÈÆþÎÏü»Ò¤ËÉտ魯¤ë´óÀ¸Äñ¹³¤Î±Æ¶Á¤ò¼¨¤·¡¤ÂкöÊýË¡¤òÄó°Æ¤·¤¿¡¥½¾Íè²óÏ©¤ËÈæ¤Ù¤Æ¡¤Äó°Æ²óÏ©¤Ë¤Ï¿·¤¿¤Ë2 ¤Ä¤ÎÍÆÎ̤È3 ¤Ä¥¹¥¤¥Ã¥Á¤¬Äɲ䵤졤²óÏ©µ¬ÌϤ¬Â¿¾¯Â礭¤¯¤Ê¤ë¤¬¡¤²óÏ©¤Î¿®ÍêÀ­¤¬³ÊÃʤ˸þ¾å¤µ¤ì¡¤Â礭¤Ê¥Ç¥á¥ê¥Ã¥È¤Ë¤Ï¤Ê¤é¤Ê¤¤¡¥20nA ¤ÎÆþÎÏľήÅÅή¤È10mV ¤Î±é»»ÁýÉý´ï¤Î¥ª¥Õ¥»¥Ã¥ÈÅÅ°µ¤ò²Ã¤¨¤¿¾õÂÖ¤ÇÄó°Æ²óÏ©¤¬Àµ¾ï¤ËÆ°ºî¤¹¤ë¤³¤È¤ò¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤Æ³Îǧ¤·¤¿¡¥

Ba2-2-4 (»þ´Ö: 11:39 - 11:57)
Âê̾¥»¥ó¥µÍѥߥêÇÈÂÓÄã¾ÃÈñÅÅÎϼõ¿®µ¡
Ãø¼Ô ¡ýÏÂÅÄ ÉÒµ± (Ë̳¤Æ»Âç³ØÎ̻ҽ¸ÀÑ¥¨¥ì¥¯¥È¥í¥Ë¥¯¥¹¸¦µæ¥»¥ó¥¿¡¼), ÃÓÊÕ ¾­Ç· (Ë̳¤Æ»Âç³ØÂç³Ø±¡¾ðÊó²Ê³Ø¸¦µæ²Ê), º´Ìî ±É°ì (Ë̳¤Æ»Âç³ØÎ̻ҽ¸ÀÑ¥¨¥ì¥¯¥È¥í¥Ë¥¯¥¹¸¦µæ¥»¥ó¥¿¡¼)
Pagepp. 357 - 362
Keyword Äã¾ÃÈñÅÅÎÏ, ¥ß¥êÇÈ, ¥»¥ó¥µ¥Í¥Ã¥È¥ï¡¼¥¯, ¥µ¥Ö¥¹¥ì¥Ã¥·¥ç¥ë¥É
AbstractËܸ¦µæ¤Ç¤Ï¡¤¥ß¥êÇÈÂӤˤª¤±¤ëÄã¾ÃÈñÅÅÎÏ¥¦¥§¥¤¥¯¥¢¥Ã¥×¼õ¿®µ¡¤ÎÀ߷ס¦É¾²Á¤ò¹Ô¤Ê¤Ã¤¿¡¥MOSFET¤Î¥µ¥Ö¥¹¥ì¥Ã¥·¥ç¥ë¥ÉÎΰè¤Ë¤ª¤±¤ëÈóÀþ·ÁÀ­¤òÍøÍѤ·¤¿ÊñÍíÀþ¸¡ÇÈ´ï¤Ï¡¤¥­¥ã¥ê¥¢¼þÇÈ¿ô¤¬¥ß¥êÇÈÂӤǤϤ¢¤ë¤â¤Î¤Î0.18 um CMOS¥×¥í¥»¥¹¤Ç¸¡ÇȤ¬²Äǽ¤Ç¤¢¤ë¤³¤È¤ò¼Â¾Ú¤·¤¿¡¥ÊñÍíÀþ¸¡ÇÈ´ï¤È¥Ù¡¼¥¹¥Ð¥ó¥ÉÁýÉý´ï¡¤CDR²óÏ©¤Ç¹½À®¤µ¤ì¤ë¼õ¿®µ¡¤Ï¥­¥ã¥ê¥¢¼þÇÈ¿ô60 GHz¡¤¥Ó¥Ã¥È¥ì¡¼¥È350 kbps¤Ë¤ª¤¤¤Æ¥¯¥í¥Ã¥¯¤È¥Ç¡¼¥¿¤ò´°Á´¤ËºÆÀ¸¤·¡¤Ìó-70 dBm¤Î´¶ÅÙ¤òÍ­¤¹¤ë¡¥1.5 V¤ÎÅŸ»ÅÅ°µ¤ÇDET¤ÈCDR¤Î¾ÃÈñÅÅÎϤ¬¤½¤ì¤¾¤ì3.4 uW¤È5.7 uW¤Ç¤¢¤Ã¤¿¡¥¥¤¥ó¥¸¥§¥¯¥·¥ç¥ó¥í¥Ã¥¯È¯¿¶´ï¤ÏCBIT=ALL ¡É0¡É¤Î»þ¡¤360~460 kHz, 26%¤Î¥í¥Ã¥¯¥ì¥ó¥¸¤òÍ­¤·¡¤CBIT¤Ë¤è¤ë¼þÇÈ¿ôÊÑÄ´¤Ç268~392 kHz¤Î´Ö¤ÇÎ¥»¶Åª¤ÊÃͤò¼è¤ê¡¤¥í¥Ã¥¯¥ì¥ó¥¸¤Ï54%¤Þ¤Ç³ÈÂ礷¤¿¡¥


¥»¥Ã¥·¥ç¥ó As2-3 ¥È¥é¥ó¥¸¥¹¥¿¤Î¥â¥Ç¥ë²½µ»½Ñ
Æü»þ: 2013ǯ7·î30Æü(²Ð) 13:30-14:45
Éô²°: 301B¼¼
ºÂĹ: ÅÚë μ (µþÅÔÂç³Ø)

As2-3-1 (»þ´Ö: 13:30 - 13:55)
Âê̾(¾·ÂÔ) SPICE¥â¥Ç¥ëɸ½à²½¤ÎºÇ¿·Æ°¸þ
Ãø¼Ô ¡û¸Å°æ ˧½Õ (¥·¥ë¥Ð¥³¡¦¥¸¥ã¥Ñ¥ó)
Pagepp. 363 - 367
Keyword SPICE, Compact Model Council, HiSIM
AbstractSPICE²óÏ©Àß·×¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤ÇÍѤ¤¤é¤ì¤ë¥È¥é¥ó¥¸¥¹¥¿¥â¥Ç¥ë¤Ï¡¢LSIÀ߷פȥե¡¥ó¥É¥ê¡¼¤ò¤Ä¤Ê¤°´ð´´µ»½Ñ¤Ç¤¢¤ë¡£È¾Æ³Âε»½Ñ¤Î¿ÊŸ¤È¤È¤â¤Ë¡¢SPICE¥â¥Ç¥ë¤Ï¡¢ÀºÅÙ¡¢¥·¥ß¥å¥ì¡¼¥·¥ç¥ó®ÅÙ¡¢¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Î¼ý«À­¤Ê¤É¼ï¡¹¤ÎÍ×µá¤òËþ¤¿¤¹¤³¤È¤¬É¬ÍפǤ¢¤ë¡£¹âÉʼÁ¤Ç°ÂÄꤷ¤¿SPICE¥â¥Ç¥ë¤Î¹ñºÝɸ½à²½¤ò¹Ô¤¦Compact Model Council¤È¡¢¤³¤³¤Çɸ½àǧÄꤵ¤ì¤¿HiSIM¥â¥Ç¥ë³µÍפòÊó¹ð¤¹¤ë¡£

As2-3-2 (»þ´Ö: 13:55 - 14:20)
Âê̾ȾƳÂΥǥХ¤¥¹¤ÎÂÑ°µ·×»»¤ËÍ­¸ú¤Ê½é´ü²ò¤Î·×»»
Ãø¼Ô ¡ý±ÛËÜ ¹À±û, ÃÓ¾å ÅØ (»º¶Èµ»½ÑÁí¹ç¸¦µæ½ê/¾ðÊ󵻽Ѹ¦µæÉôÌç), Ê¡ÅÄ ¹À°ì (»º¶Èµ»½ÑÁí¹ç¸¦µæ½ê/¥Ê¥Î¥¨¥ì¥¯¥È¥í¥Ë¥¯¥¹¸¦µæÉôÌç), °ËÆ£ ÃÒ (»º¶Èµ»½ÑÁí¹ç¸¦µæ½ê/¾ðÊ󵻽Ѹ¦µæÉôÌç)
Pagepp. 368 - 373
Keyword TCAD, ÈóÀþ·ÁÌäÂê, Á²¶á²òÀÏ, ¿½Å¼ÜÅÙË¡, Avalanche
AbstractȾƳÂΤÎÀ߷פǤÏTechnology CAD(TCAD)¤È¸Æ¤Ð¤ì¤ë¥·¥ß¥å¥ì¡¼¥·¥ç¥óµ»½Ñ¤òÍѤ¤¡¢Ê£¿ô¤ÎʪÍýÊýÄø¼°¤ò¥«¥Ã¥×¥ë¤µ¤»¤¿ÈóÀþ·ÁÌäÂê¤ò¿ôÃÍŪ¤Ë²ò¤­¡¢¥Ç¥Ð¥¤¥¹¤¬»ý¤ÄÅŵ¤ÆÃÀ­¤Î²òÀϤò¹Ô¤Ê¤¦¡£TCAD¤Î²òÀϤǤâ¤È¤¯¤ËÂÑ°µ·×»»¤Ï¡¢ÂÑ°µ¸Â³¦ÉÕ¶á¤Ç·Ï¤ÎÈóÀþ·ÁÀ­¤¬¶¯¤¯¤Ê¤ë¤¿¤á¡¢°ÂÄê¤Ê¼ý«¾ò·ï¤ÎÀßÄ꤬º¤Æñ¤Ç¤¢¤ë¡£ Ëܸ¦µæ¤Ç¤Ï¡¢ÂÑ°µ·×»»¤Ë¤ª¤¤¤Æ¶¯¤¤ÈóÀþ·ÁÀ­¤ò¤â¤¿¤é¤·¤Æ¤¤¤ëAvalanche Breakdown¤Î¥â¥Ç¥ë¤ò´Þ¤ó¤À·Ï¤ËÂФ·¤Æ¡¢¶õ´ÖÊÑ¿ô¤Î¼ÜÅÙÊÑ´¹¤òȼ¤Ê¤Ã¤¿Â¿½Å¼ÜÅÙË¡¤Ë¤è¤ëÀÝÆ°²òÀϤò¹Ô¤Ê¤¤¡¢ÍýÏÀŪ¤Ë¼ý«¤¬°ÂÄꤹ¤ë½é´ü²ò¤ò¸«½Ð¤·¤¿¡£

As2-3-3 (»þ´Ö: 14:20 - 14:45)
Âê̾SRAM²óÏ©²òÀϤˤª¤±¤ëºÇ¾®¥Î¥ë¥àÉÔÎÉ¥µ¥ó¥×¥ë¤ÈÊâα¤Þ¤ê¤Î´Ø·¸
Ãø¼Ô ¡ýÌÚ¼ ϵª (µþÅÔÂç³Ø¾ðÊó³Ø¸¦µæ²Ê), Åû°æ ¹° (Ë̳¤Æ»Âç³Ø¾ðÊó²Ê³Ø¸¦µæ²Ê), ±ÛÃÒ ÍµÇ· (Ω̿´ÛÂç³Ø¾ðÊóÍý¹©³ØÉô), º´Æ£ ¹â»Ë (µþÅÔÂç³Ø¾ðÊó³Ø¸¦µæ²Ê)
Pagepp. 374 - 379
Keyword ¥Ñ¡¼¥Æ¥£¥¯¥ë¥Õ¥£¥ë¥¿, MPFP, Êâα¤Þ¤ê²òÀÏ, SRAM, ¥Î¥¤¥º¥Þ¡¼¥¸¥ó²òÀÏ


¥»¥Ã¥·¥ç¥ó As2-4 ¥¢¥Ê¥í¥°²óÏ©¤Î²òÀϵ»½Ñ
Æü»þ: 2013ǯ7·î30Æü(²Ð) 15:00-16:15
Éô²°: 301B¼¼
ºÂĹ: °ËÆ£ ¹ÀÇ· (Åìµþ¹©¶ÈÂç³Ø)

As2-4-1 (»þ´Ö: 15:00 - 15:25)
Âê̾Behaviors of EER Transmitter with Class-E Amplifier due to MOSFET Parasitic Capacitances
Ãø¼Ô ¡ûXiuqin Wei (Fukuoka University), Tomoharu Nagashima, Hiroo Sekiya (Chiba University), Tadashi Suetsugu (Fukuoka University)
Pagepp. 380 - 384
Keyword Class-E amplifier, gate-to-drain linear capacitance, drain-to-source nonlinear capacitance, EER transmitter
AbstractThis paper presents analytical expressions of the MOSFET-parasitic-capacitance effects on the output envelope of the EER transmitter, taking into account the MOSFET linear gate-to-drain and nonlinear drain-to-source parasitic capacitances in the class-E amplifier. The analysis is useful to predict the behavior of the EER transmitter using the class-E amplifier. It is shown that the envelope of the output voltage is not in proportion to the dc-supply voltage due to the MOSFET-parasitic-capacitance effects. Additionally, the driving voltage waveform affects the output-voltage amplitude and phase shift between the driving voltage and the output voltage.

As2-4-2 (»þ´Ö: 15:25 - 15:50)
Âê̾¥¹¥¤¥Ã¥Á¥ó¥°ÅŸ»¤ÎÄê¾ïÆÃÀ­¤Î°ì²òÀÏÊýË¡
Ãø¼Ô ¡ýè± Ë®´² (·§ËܹâÅùÀìÌç³Ø¹» À칶²Ê ÅŻҾðÊó¥·¥¹¥Æ¥à¹©³ØÀ칶), »ûÅÄ ¿¸Ìé (·§ËܹâÅùÀìÌç³Ø¹» À©¸æ¾ðÊó¥·¥¹¥Æ¥à¹©³Ø²Ê), ¹¾¸ý ·¼ (Ê¡²¬¹©¶ÈÂç³Ø ÅŻҾðÊ󹩳زÊ), ÂçÅÄ °ìϺ (·§ËܹâÅùÀìÌç³Ø¹» ¾ðÊóÄÌ¿®¥¨¥ì¥¯¥È¥í¥Ë¥¯¥¹¹©³Ø²Ê)
Pagepp. 385 - 390
Keyword ¥¹¥¤¥Ã¥Á¥ó¥°ÅŸ»¤ÎÅù²Á²óÏ©, ¥¹¥¤¥Ã¥Á¥ó¥°ÅŸ»¤ÎÄê¾ïÆÃÀ­, ÅŸ»¤ÎÄê¾ïÆÃÀ­¤Î²òÀÏŪƳ½Ð, ¾õÂÖÊ¿¶Ñ²½Ë¡
Abstract¥¹¥¤¥Ã¥Á¥ó¥°ÅŸ»¤ÎÄê¾ïÆÃÀ­¤Î²òÀÏÊýË¡¤È¤·¤Æ¡¤Åù²Á²óÏ©¤òÍѤ¤¤¿¿·¤·¤¤ÊýË¡¤òÄó°Æ¤·¤¿¡¥²òÀÏÎã¤È¤·¤Æ¡¤PWM¡¤¶¦¿¶·Á¡¤ÎíÅÅ°µ¥¹¥¤¥Ã¥Á¥ó¥°Êý¼°¤Î3¼ïÎà¤Î¹ß°µ¥³¥ó¥Ð¡¼¥¿¤ÎÄê¾ïÆÃÀ­¤ò½¾Íè¤Î¾õÂÖÊ¿¶Ñ²½Ë¡¤ª¤è¤ÓHSPICE¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Î·ë²Ì¤ÈÈæ³Ó¤·¤¿¡¥¤½¤Î·ë²Ì¡¤°Ê²¼¤Î¤³¤È¤¬¤ï¤«¤Ã¤¿¡¥(1)Äó°ÆÊýË¡¤è¤êÆÀ¤é¤ì¤ë½ÐÎϱþÅúÆÃÀ­¤Ï¡¤¾õÂÖÊ¿¶Ñ²½Ë¡¤ÇÆÀ¤é¤ì¤ëÃͤȴ°Á´¤Ë°ìÃפ¹¤ë¡¥(2) Äó°ÆÊýË¡¤è¤êÆÀ¤é¤ì¤ë¸úΨÆÃÀ­¤Ï¾õÂÖÊ¿¶Ñ²½Ë¡¤è¤ê¤âÀºÅ٤褯µá¤á¤ë¤³¤È¤¬¤Ç¤­¤ë¡¥ (3) Äó°ÆÊýË¡¤Ï¡¤¾õÂ֤οô¤¬Áý¤¨¤Æ¤â¤½¤ì¤Û¤ÉÊ£»¨¤Ë¤Ê¤é¤º¡¤RAC¤¬¶Ë¤á¤Æ¾®¤µ¤¤¾ì¹ç¡¤²óÏ©Æâ¤Î³ÆÁǻҤËή¤ì¤ëÅŲ٤è¤ê´Êñ¤ËRO¤òƳ½Ð¤Ç¤­¤ë¤Î¤Ç¡¤¾õÂÖÊ¿¶Ñ²½Ë¡¤è¤ê¤â²òÀÏ¥×¥í¥°¥é¥à¤¬´Êñ¤Ë¤Ê¤ë¡¥

As2-4-3 (»þ´Ö: 15:50 - 16:15)
Âê̾An Efficient Variable-Gain Homotopy Method for DC Operating Point Analysis of Transistor Circuits
Ãø¼Ô ¡ýFumiya Okimori, Yudai Yamamoto, Takuya Miyamoto, Kiyotaka Yamamura (Chuo University)
Pagepp. 391 - 396
Keyword circuit simulation, nonlinear circuit, homotopy method
AbstractHomotopy methods are known to be effective methods for finding DC operating points of nonlinear circuits with the theoretical guarantee of global convergence. There are several types of homotopy methods; as one of the most efficient methods for solving bipolar circuits, the variable-gain homotopy (VGH) method is well-known. In this paper, we propose an efficient VGH method for solving bipolar and MOS transistor circuits. We also show that the proposed method converges to a stable operating point with high possibility from any initial point. The proposed method is not only globally convergent but also more efficient than the conventional VGH methods. Moreover, it can be easily implemented on SPICE.


¥»¥Ã¥·¥ç¥ó Bd2-1 ²èÁü½èÍýI
Æü»þ: 2013ǯ7·î30Æü(²Ð) 9:30-10:30
Éô²°: 311A¼¼
ºÂĹ: Çò°æ ·¼°ìϺ (¿®½£Âç³Ø¹©³ØÉô ¾ðÊ󹩳زÊ)

Bd2-1-1 (»þ´Ö: 9:30 - 9:50)
Âê̾²èÁü¤Î°µ½Ì¥»¥ó¥·¥ó¥°¤Ë¤ª¤±¤ë²èÁüÆâ°µ½ÌΨ¤ÎŬ±þŪÊѹ¹¼êË¡
Ãø¼Ô ¡ýÆ£ÅÄ Î´»Ë (µþÅÔÂç³ØÂç³Ø±¡ ¾ðÊó³Ø¸¦µæ²Ê), Åû°æ ¹° (Ë̳¤Æ»Âç³ØÂç³Ø±¡ ¾ðÊó²Ê³Ø¸¦µæ²Ê), ±ÛÃÒ ÍµÇ· (Ω̿´ÛÂç³Ø ¾ðÊóÍý¹©³ØÉô), º´Æ£ ¹â»Ë (µþÅÔÂç³ØÂç³Ø±¡ ¾ðÊó³Ø¸¦µæ²Ê)
Pagepp. 397 - 402
Keyword °µ½Ì¥»¥ó¥·¥ó¥°, ²èÁü°µ½Ì, Ŭ±þŪ°µ½Ì
Abstract°µ½Ì¥»¥ó¥·¥ó¥°µ»½Ñ¤ò¥¤¥á¡¼¥¸¥»¥ó¥µ¤Ë±þÍѤ¹¤ë¤³¤È¤Ë¤è¤ê¡¤²èÁü¤Î¼èÆÀ¤È°µ ½Ì¤òƱ»þ¤Ë¹Ô¤¦¤³¤È¤¬¤Ç¤­¤ë¡¥¥»¥ó¥µ¥Î¡¼¥É¾å¤Ç¤ÎÈæ³ÓŪ´Ê°×¤Ê½èÍý¤Ë¤è¤êÄÌ ¿®Î̤òºï¸º¤Ç¤­¤ë¤³¤È¤«¤é¡¤¥»¥ó¥µ¥Ç¥Ð¥¤¥¹¤ä¤³¤ì¤ò´Þ¤á¤¿¥·¥¹¥Æ¥à¤Î°ìÁؤΠÄã¾ÃÈñÅÅÎϲ½¤¬²Äǽ¤Ë¤Ê¤ë¤È´üÂÔ¤µ¤ì¤Æ¤¤¤ë¡¥ËܹƤǤϡ¤²èÁü¤Î¶É½êŪ¤ÊÊ£»¨ Å٤˱þ¤¸¤¿Å¬±þŪ¤Ê²èÁü°µ½Ì¥»¥ó¥·¥ó¥°¤Î¼êË¡¤òÄó°Æ¤¹¤ë¡¥ ²èÁüÃæ¤ÎÁ´¥Ö¥í¥Ã¥¯¤Ë°ìÍͤʰµ½ÌΨ¤ò³ä¤êÅö¤Æ¤ë½¾Íè¼êË¡¤ÈÈæ³Ó¤·¤Æ¡¤PSNR 35dB ¤Î»þ¤ËºÇÂç 1.60ÇÜ ¤Î°µ½ÌΨ¤òãÀ®¤·¤¿¡¥

Bd2-1-2 (»þ´Ö: 9:50 - 10:10)
Âê̾¹âÉÑÅÙsyntax¤ËÆò½¤·¤¿¥¢¥¯¥»¥é¥ì¡¼¥¿¤Ë¤è¤ëHEVC¸þ¤±CABAC¥Ç¥³¡¼¥À¤Î¹â¸úΨ²½
Ãø¼Ô ¡ûÆ£ÅÄ ¸¼, ÊƸ¶ ÌÀÃË (ÂçºåÅŵ¤ÄÌ¿®Âç³Ø)
Pagepp. 403 - 407
Keyword HEVC, CABAC
AbstractËܹƤǤϡ¤HEVC ¤Î CABAC ¥Ç¥³¡¼¥À¤Ë¤ª¤¤¤Æ¡¤¹â¥Ó¥Ã¥È¥ì¡¼¥È»þ¤ÏÆÃÄê¤Îsyntax¤ÎÉÑÅÙ¤¬¹â¤¯¤Ê¤ë¤³¤È¤ËÃåÌܤ·¡¤ÆÃÄê¤Îsyntax¤ò¹â¸úΨ¤Ë½èÍý¤¹¤ë¥¢¥¯¥»¥é¥ì¡¼¥¿¤òÍѤ¤¤¿¹â¸úΨ¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤òÄó°Æ¤¹¤ë¡¥¤³¤ì¤Ë¤è¤Ã¤Æ¡¤1cycleÅö¤¿¤ê¤Î2ÃÍÉä¹æÎ̤νèÍý®ÅÙ¤ò¸þ¾å¤µ¤»¡¤CABAC ¥Ç¥³¡¼¥À¤Î¹â¸úΨ²½¤ò¼Â¸½¤¹¤ë¡¥

Bd2-1-3 (»þ´Ö: 10:10 - 10:30)
Âê̾¥¹¥±¡¼¥é¥Ö¥ëÉä¹æ²½²èÁü¤Î¤¿¤á¤ÎïçÃÍÈë̩ʬ»¶¤òÍѤ¤¤¿¥¢¥¯¥»¥¹À©¸æÊý¼°
Ãø¼Ô ¡ýÀÐÄÍ ¸­¿Í, º£Àô ¾Í»Ò, ÀÄÌÚ Ä¾ÏÂ, ¾®ÎÓ Íµ¹¬ (ÀéÍÕÂç³ØÂç³Ø±¡)
Pagepp. 408 - 413
Keyword ïçÃÍÈë̩ʬ»¶Ë¡, ¥Ï¥Ã¥·¥å´Ø¿ô, ¥¢¥¯¥»¥¹À©¸æ, ¥¹¥±¡¼¥é¥Ö¥ëÉä¹æ²½


¥»¥Ã¥·¥ç¥ó Bd2-2 ¾·ÂÔ¹Ö±é
Æü»þ: 2013ǯ7·î30Æü(²Ð) 10:45-12:00
Éô²°: 311A¼¼
ºÂĹ: º£Àô ¾Í»Ò (ÀéÍÕÂç³Ø)

Bd2-2-1 (»þ´Ö: 10:45 - 12:00)
Âê̾(¾·ÂÔ) ³ØÀ¸¸þ¤±ÅÅ»ÒÆ©¤«¤·µ»½Ñ¥Á¥å¡¼¥È¥ê¥¢¥ë
Ãø¼Ô ¡û·ªÎÓ Ì­ (¿À¸ÍÂç³Ø)
Pagepp. 414 - 419
Keyword ÅÅ»ÒÆ©¤«¤·, ¥¹¥Ú¥¯¥È¥ë³È»¶Ë¡, Î̻Ҳ½Ë¡, ²ÄµÕÅÅ»ÒÆ©¤«¤·
Abstract°ìÈ̤˾ðÊó¥Ï¥¤¥Ç¥£¥ó¥°¤È¸Æ¤Ð¤ì¤ëµ»½Ñ¤Ï¡¤ÅÅ»ÒÆ©¤«¤·¤È¥¹¥Æ¥¬¥Î¥°¥é¥Õ¥£¤ËʬÎव¤ì¤ë¡¥ Á°¼Ô¤Ï¥Ç¥£¥¸¥¿¥ë¥³¥ó¥Æ¥ó¥Ä¤ò¼ç¾ðÊó¤È¤·¤ÆÊ̤ξðÊó¤òËä¤á¹þ¤àµ»½Ñ¤Ç¤¢¤ê¡¤¸å¼Ô¤Ï¼ç¾ð Êó¤¬Ëä¤á¹þ¤à¾ðÊó¤È¤Ê¤Ã¤Æ¤¤¤ë¡¥ÅÅ»ÒÆ©¤«¤·µ»½Ñ¤Ï¹¹¤ËÂ礭¤¯Æó¼ïÎà¤ËʬÎव¤ì¡¤¥³¥ó¥Æ ¥ó¥Ä¤òÏĤޤ»¤ë¹¶·â¤ËÂФ·¤Æ¹â¤¤ÂÑÀ­¤òÍ­¤¹¤ë¥í¥Ð¥¹¥ÈÅÅ»ÒÆ©¤«¤·¤È¡¤²þ¤¶¤ó¸¡ÃΤʤɤò ÌÜŪ¤È¤·¤¿¥Õ¥é¥¸¡¼¥ëÅÅ»ÒÆ©¤«¤·¤È¸Æ¤Ð¤ì¤ë¡¥Ëֱܹé¤Ç¤Ï¡¤¥í¥Ð¥¹¥ÈÅÅ»ÒÆ©¤«¤·¤È¤·¤ÆÃÎ ¤é¤ì¤ë¼êË¡¤ò¤¤¤¯¤Ä¤«¾Ò²ð¤·¡¤¤½¤Î±þÍÑÎã¤È¤·¤ÆÅŻһØÌæµ»½Ñ¤òÀâÌÀ¤¹¤ë¡¥¤Þ¤¿¡¤¥Õ¥é¥¸ ¡¼¥ëÅÅ»ÒÆ©¤«¤·¤È¤·¤ÆºÇ¶áÀ¹¤ó¤Ë¸¦µæ¤µ¤ì¤Æ¤¤¤ë²ÄµÕÅÅ»ÒÆ©¤«¤·¤Ë¤Ä¤¤¤Æ¡¤¤½¤ÎÂåɽŪ¤Ê ¼êË¡¤È±þÍÑÀè¤Ê¤É¤ò¾Ò²ð¤¹¤ë¡¥


¥»¥Ã¥·¥ç¥ó Bd2-3 ²»À¼¿®¹æ½èÍýII
Æü»þ: 2013ǯ7·î30Æü(²Ð) 13:30-14:50
Éô²°: 311A¼¼
ºÂĹ: Æ«»³ ·ò¿Î (ÅìµþÅŵ¡Âç³Ø)

Bd2-3-1 (»þ´Ö: 13:30 - 13:50)
Âê̾À¼ÂӤμþ´üÍɤ餮¤ËÃåÌܤ·¤¿²»À¼¹çÀ®¤Ë´Ø¤¹¤ë¸¦µæ
Ãø¼Ô ¡ý²Ï¼ ľ¹À, ÂçÀî ÃÒµ×, Ìç°æ ½Ù, ÀÖÃÓ ÆØ, °þ»³ ͦ¼¡, ¿À»³ ¶³Ê¿ (ÌÀ¼£Âç³ØÂç³Ø±¡Íý¹©³Ø¸¦µæ²ÊÅŵ¤¹©³ØÀ칶), ³ùÅÄ ¹°Ç· (ÌÀ¼£Âç³ØÍý¹©³ØÉôÅŵ¤ÅÅ»ÒÀ¸Ì¿³Ø²Ê)
Pagepp. 420 - 424
Keyword ¥Ü¥Ã¥¯¥¹¡¦¥ß¥å¥é¡¼Ë¡, À¼ÂӤμþ´üÍɤ餮
Abstract¶áǯ¡¤ÍÍ¡¹¤Ê¾ì½ê¤Ç²»À¼¥¢¥Ê¥¦¥ó¥¹¤òʹ¤¯¤³¤È¤¬¤Ç¤­¤ë¤¬¡¤¤³¤ì¤é¤Î²»À¼¥¢¥Ê¥¦¥ó¥¹¤Ë¤ÏÏ¿²»ÊÔ½¸Êý¼°¤È¤¤¤¦¹çÀ®µ»½Ñ¤¬»È¤ï¤ì¤Æ¤¤¤ë¡¥¤³¤ÎÊýË¡¤Ï¡¤Ï¿²»¤·¤¿²»À¼¤ò¤Ä¤Ê¤®¹ç¤ï¤»¤ë¤È¤¤¤¦¤â¤Î¤Ç¡¤¿Í´Ö¤é¤·¤¤¼«Á³¤Ê²»À¼¤¬¹çÀ®¤Ç¤­¤ë¤¬¡¤¹çÀ®¤¹¤ë¤¿¤á¤ËɬÍפʥǡ¼¥¿Î̤¬ËÄÂç¤Ë¤Ê¤Ã¤Æ¤·¤Þ¤¦¤È¤¤¤¦·çÅÀ¤¬¤¢¤ë¡¥ ¿Í´Ö¤ÎÀ¼¤Ë¤Ï´ðËܼþÇÈ¿ô¤ä¿¶Éý¡¤ÇÈ·Á¤Ê¤É¤ËÍɤ餮¤¬´Þ¤Þ¤ì¤Æ¤ª¤ê¡¤¤³¤ì¤é¤Ï¥«¥ª¥¹À­¤ò»ý¤Ã¤Æ¤¤¤ë¤³¤È¤¬ÃΤé¤ì¤Æ¤¤¤ë¡¥¤·¤«¤·¡¤¤³¤ì¤é¤ò¹Íθ¤·¤¿²»À¼¹çÀ®Êý¼°¤Ï´°À®¤·¤Æ¤¤¤Ê¤¤¡¥ Ëܸ¦µæ¤Ç¤Ï¡¤¤³¤ì¤é¤ÎÍɤ餮¤Î¤¦¤ÁÀ¼ÂӤμþ´üÍɤ餮¤ËÃåÌܤ·¤Æ¤³¤ì¤òºÆ¸½¤·¡¤¼«Á³À­¤Î¹â¤¤²»À¼¤ò¹çÀ®¤¹¤ë¤³¤È¤òÌÜŪ¤È¤¹¤ë¡¥¥Ü¥Ã¥¯¥¹=¥ß¥å¥é¡¼Ë¡¤òÍѤ¤¤ÆÀ¼ÂӤμþ´üÍɤ餮¤òºÆ¸½¤·²»À¼¤ò¹çÀ®¤·¤Æ¤¤¤¯¡¥

Bd2-3-2 (»þ´Ö: 13:50 - 14:10)
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Ãø¼Ô ¡ýËÜ¿ ͤÌé, Àî¼ ¿·, ÈÓÔ¢ ÍÎÆó (ÂçºåÂç³ØÂç³Ø±¡´ðÁù©³Ø¸¦µæ²Ê)
Pagepp. 425 - 430
Keyword »¨²»½üµî, ¥¹¥Æ¥ì¥ª¥Þ¥¤¥¯¥í¥Û¥ó, ¥Þ¥¤¥¯¥í¥Û¥ó¥¢¥ì¡¼, ¼«Æ°¼ÖÆ⻨²»
AbstractËܸ¦µæ¤Ç¤Ï¡¤¼«Æ°¼ÖÆâ¥Ï¥ó¥º¥Õ¥ê¡¼ÄÌÏäËÍѤ¤¤ë¡¤»¨²»½üµîË¡¤Î¸¡Æ¤¤ò¹Ô¤Ã¤¿¡¥¼«Æ°¼ÖÆâ¤Î¤è¤¦¤Ë»¨²»¤¬Ê£¿ôÊý¸þ¤«¤éÅþÍ褹¤ë¾ì¹ç¡¤Ê£¿ô¥Þ¥¤¥¯¥í¥Û¥ó¤òÍѤ¤¤ë»à³ÑÀ©¸æ·¿¥Þ¥¤¥¯¥í¥Û¥ó¥¢¥ì¡¼¤Ç¸ú²ÌŪ¤Ë»¨²»½üµî¤Ç¤­¤ë¡¥»ÈÍѤ¹¤ë¥Þ¥¤¥¯¥í¥Û¥ó¤Î¸Ä¿ô¤Ï¡¤¥Þ¥¤¥¯¥í¥Û¥ó¥¢¥ì¡¼¤ÎÀ­¼Á¤ò¹Íθ¤·¡¤ºÇ¾®¤Î2¸Ä¤ËÄê¤á¤ë¡¥¥Þ¥¤¥¯¥í¥Û¥ó¥¢¥ì¡¼¤ËÉտ魯¤ë¥¯¥í¥¹¥È¡¼¥¯ÌäÂ꤬¸ºß¤·¡¤¤½¤Î²ò·èºö¤âÄó°Æ¤¹¤ë¡¥¥Þ¥¤¥¯¥í¥Û¥ó¥¢¥ì¡¼¤ò»¨²»½üµîË¡¤È¤·¤ÆÁª¤ó¤À¤¬¡¤Á´¤Æ¤Î»¨²»¤ò¼è¤ê½ü¤¯»ö¤ÏÆñ¤·¤¤¡¥¤½¤Î¤¿¤á¡¤Åý·×Ū¼êË¡¤ÎMAP¿äÄêË¡¤òÍѤ¤¤Æ¡¤»ÄỨ²»¤ò½üµî¤¹¤ë¡¥MAP¿äÄê¤òÍѤ¤¤¿»¨²»½üµîË¡¤ò¥¯¥í¥¹¥È¡¼¥¯¤ÎÂкö¤ò»Ü¤·¤¿¥Þ¥¤¥¯¥í¥Û¥ó¥¢¥ì¡¼¤Î¸å½èÍý¤È¤·¤Æ¡¤Å¬ÍѤ·¤¿¤â¤Î¤òº£²ó¤ÎÄó°ÆË¡¤È¤·¤ÆÄó°Æ¤¹¤ë¡¥

Bd2-3-3 (»þ´Ö: 14:10 - 14:30)
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Ãø¼Ô ¡ý±×±Ê æÆÊ¿, À¸Æ£ Âçŵ (Ω̿´ÛÂç³ØÂç³Ø±¡¾ðÊóÍý¹©³Ø¸¦µæ²Ê), Ã滳 ²í¿Í, À¾±º ·É¿® (Ω̿´ÛÂç³Ø¾ðÊóÍý¹©³ØÉô)
Pagepp. 431 - 435
Keyword ¥Ñ¥é¥á¥È¥ê¥Ã¥¯¥¹¥Ô¡¼¥«, ¥ª¡¼¥Ç¥£¥ª¥¹¥Ý¥Ã¥È, ÊÉÌÌÈ¿¼Í·¿, ÃγÐÎΰè³ÈÂç
Abstract¶áǯ¡¤Ä¶»Ø¸þÀ­¤ò¼Â¸½¤Ç¤­¤ë¥Ñ¥é¥á¥È¥ê¥Ã¥¯¥¹¥Ô¡¼¥«¤¬ÃíÌܤµ¤ì¡¤¼ÂÍѲ½¤¬¿Ê¤á¤é¤ì¤Æ¤¤¤ë¡¥¥Ñ¥é¥á¥È¥ê¥Ã¥¯¥¹¥Ô¡¼¥«¤Ï¥ª¡¼¥Ç¥£¥ª¥¹¥Ý¥Ã¥È¤È¸Æ¤Ð¤ì¤ëÆÃÄê¤Î¼õÄ°Îΰè¤ò¹½ÃۤǤ­¤ë¡¥¤Þ¤¿¡¤ÊɤäÅ·°æ¤Ê¤É¤ËÊü¼Í²»¤òÈ¿¼Í¤µ¤»¤ë¤³¤È¤Ç¡¤ÊÉÌÌÈ¿¼Í·¿¥ª¡¼¥Ç¥£¥ª¥¹¥Ý¥Ã¥È¤ò¹½ÃۤǤ­¤ë¡¥ÊÉÌÌÈ¿¼Í·¿¥ª¡¼¥Ç¥£¥ª¥¹¥Ý¥Ã¥È¤Ç¤ÏÈ¿¼ÍÊÉÌ̾å¤Ë²»Áü¤ò¹½ÃۤǤ­¤ë¡¥¤·¤«¤·¡¤¥Ñ¥é¥á¥È¥ê¥Ã¥¯¥¹¥Ô¡¼¥«Ã±ÂΤǹ½ÃÛ¤¹¤ëÊÉÌÌÈ¿¼Í·¿¥ª¡¼¥Ç¥£¥ª¥¹¥Ý¥Ã¥È¤Ï²»Áü¤ÎÃγÐÎΰ褬¶¹¤¤¤¿¤á¡¤Ê£¿ô¿Í¤Ç¤ÎƱ»þ¼õÄ°¤¬º¤Æñ¤Ç¤¢¤ë¤È¤¤¤¦ÌäÂ꤬¤¢¤ë¡¥¤½¤³¤ÇËܹƤǤϡ¤Ê£¿ô¤Î¥Ñ¥é¥á¥È¥ê¥Ã¥¯¥¹¥Ô¡¼¥«¤ò¥¢¥ì¡¼¾õ¤ËÇÛÃÖ¤·¤¿¥Ñ¥é¥á¥È¥ê¥Ã¥¯¥¹¥Ô¡¼¥«¥¢¥ì¡¼¤òÍѤ¤¤ë¤³¤È¤Ç¡¤ÊÉÌÌÈ¿¼Í·¿¥ª¡¼¥Ç¥£¥ª¥¹¥Ý¥Ã¥È¤Ë¤ª¤±¤ë²»Áü¤ÎÃγÐÎΰè³ÈÂç¤òÌܻؤ¹¡¥

Bd2-3-4 (»þ´Ö: 14:30 - 14:50)
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Ãø¼Ô ¡ýÀ¸Æ£ Âçŵ (Ω̿´ÛÂç³ØÂç³Ø±¡¾ðÊóÍý¹©³Ø¸¦µæ²Ê), ÄÔ°æ ½¨Ìï (Ω̿´ÛÂç³ØÂç³Ø±¡Íý¹©³Ø¸¦µæ²Ê), ±×±Ê æÆÊ¿ (Ω̿´ÛÂç³ØÂç³Ø±¡¾ðÊóÍý¹©³Ø¸¦µæ²Ê), Ã滳 ²í¿Í, À¾±º ·É¿®, »³²¼ Íΰì (Ω̿´ÛÂç³Ø¾ðÊóÍý¹©³ØÉô)
Pagepp. 436 - 441
Keyword ¥Ñ¥é¥á¥È¥ê¥Ã¥¯¥¹¥Ô¡¼¥«, ²»Áü¥×¥é¥Í¥¿¥ê¥¦¥à, »Ä¶Á»þ´ÖÀ©¸æ, ¥¤¥ó¥Ñ¥ë¥¹±þÅú
Abstract²æ¡¹¤Ï¤³¤ì¤Þ¤Ç¤ËǤ°Õ¤Î²Õ½ê¤ËÍưפ˲»Áü¤ò¹½ÃۤǤ­¤ë²»¾ìºÆÀ¸¥·¥¹¥Æ¥à¤È¤·¤Æ²»Áü¥×¥é¥Í¥¿¥ê¥¦¥à¤òÄó°Æ¤·¤Æ¤­¤¿¡¥²»Áü¥×¥é¥Í¥¿¥ê¥¦¥à¤ÏĶ»Ø¸þÀ­¤òÍ­¤¹¤ë¥Ñ¥é¥á¥È¥ê¥Ã¥¯¥¹¥Ô¡¼¥«¤òÊ£¿ô¸ÄÍøÍѤ¹¤ë¤³¤È¤ÇÊÉÌ̾å¤ËÊ£¿ô¤Î²»Áü¤ò¹½ÃۤǤ­¤ë¡¥¤Þ¤¿¡¤²»Áü¤ò¹½ÃÛ¤¹¤ëÊÉÌ̤ޤǤε÷Î¥¤¬°ìÄê¤Ë¤Ê¤ë¥É¡¼¥à·¿¤Î»ÜÀߤò·úÀߤ¹¤ë¤³¤È¤Ç¡¤ºÆÀ¸²»¤Î¥¨¥Í¥ë¥®¡¼¤äÃÙ±ä¤ÎÀ©¸æ¤òÍưפ˼¸½¤¹¤ë¥·¥¹¥Æ¥à¤ò¹½ÃÛ¤·¤Æ¤­¤¿¡¥¤·¤«¤·¡¤¥Ñ¥é¥á¥È¥ê¥Ã¥¯¥¹¥Ô¡¼¥«¤Ç¤Ï³È»¶È¿¼Í²»¤Î¥¨¥Í¥ë¥®¡¼¤¬¾®¤µ¤¤¤¿¤á¡¤¥³¥ó¥µ¡¼¥È¥Û¡¼¥ë¤Ê¤É¤Î¹â»Ä¶Á´Ä¶­¤ò¹âÎ×¾ì¤ËºÆ¸½¤¹¤ë¤³¤È¤¬º¤Æñ¤Ç¤¢¤Ã¤¿¡¥¤½¤³¤ÇËܹƤǤϡ¤´ÖÀÜŪ¤Ë»Ä¶Á²»¤ò¼õÄ°¼Ô¤ËÄ󼨤¹¤ë´ÖÀÜÆ°ÅÅ·¿¥¹¥Ô¡¼¥«¤òÄó°Æ¤¹¤ë¤³¤È¤Ç¡¤¿Í¤¬ÃγФ¹¤ë²»¤Î³È¤¬¤ê´¶¤ÎÀ©¸æ¤òÌܻؤ¹¡¥


¥»¥Ã¥·¥ç¥ó C2-1 ¥»¥­¥å¥¢Àß·×
Æü»þ: 2013ǯ7·î30Æü(²Ð) 9:15-10:30
Éô²°: 405¼¼
ºÂĹ: ¾¾Èø ã (ÉÙ»ÎÄ̸¦µæ½ê)

C2-1-1 (»þ´Ö: 9:15 - 9:40)
Âê̾¥¹¥È¥ê¡¼¥à°Å¹æTrivium¤ËÂФ¹¤ë¥¹¥­¥ã¥ó¥Á¥§¥¤¥ó¤Î¹½Â¤¤Ë°Í¸¤·¤Ê¤¤¥¹¥­¥ã¥ó¥Ù¡¼¥¹¹¶·â¼êË¡
Ãø¼Ô ¡ýÆ£Âå Èþ²Â, Ìøß· À¯À¸, ¸ÍÀî ˾ (Áá°ðÅÄÂç³ØÂç³Ø±¡´ð´´Íý¹©³Ø¸¦µæ²Ê)
Pagepp. 442 - 447
Keyword Trivium, ¥µ¥¤¥É¥Á¥ã¥Í¥ë¹¶·â, ¥¹¥­¥ã¥ó¥Á¥§¥¤¥ó, ¥¹¥­¥ã¥ó¥Ù¡¼¥¹¹¶·â
AbstractTrivium¤ÏƱ´ü¼°¥¹¥È¥ê¡¼¥à°Å¹æ¤Î1¤Ä¤Ç¡¤¥¹¥È¥ê¡¼¥à°Å¹æɾ²Á¥×¥í¥¸¥§¥¯¥ÈeSTREAM¤Ë¤Æ¿ä¾©¥¢¥ë¥´¥ê¥º¥à¤ËÁªÄꤵ¤ì¤¿¤â¤Î¤Ç¤¢¤ë¡¥3ËܤΥ·¥Õ¥È¥ì¥¸¥¹¥¿¤«¤é¹½À®¤µ¤ì¡¤ÆâÉô±é»»¤Ï¥Ó¥Ã¥ÈƱ»Î¤ÎAND±é»»¤ÈXOR±é»»¤Î¤ß¤Ç¤¢¤ê¡¤¹½Â¤¤¬Ã±½ã¤Ç¹â®¤ËÆ°ºî¤¹¤ë¡¥°ìÊý¡¤°Å¹æLSI¤ËÂФ¹¤ë¥µ¥¤¥É¥Á¥ã¥Í¥ë¹¶·â¤Î1¤Ä¤Ë¡¤¥Æ¥¹¥ÈÍѤΥ¹¥­¥ã¥ó¥Á¥§¥¤¥ó¤òÍøÍѤ·¤Æ°Å¹æ²òÆɤ¹¤ë¥¹¥­¥ã¥ó¥Ù¡¼¥¹¹¶·â¤¬¤¢¤ë¡¥Trivium¤Ø¤Î¥¹¥­¥ã¥ó¥Ù¡¼¥¹¹¶·â¤Ï¡¤¥¹¥­¥ã¥ó¥Á¥§¥¤¥ó¤òÍѤ¤¤Æ¼èÆÀ¤·¤¿¥¹¥­¥ã¥ó¥Ç¡¼¥¿¤«¤é²óÏ©ÆâÉô¤Î¾õÂÖ¤òµá¤á¡¤µá¤á¤¿ÆâÉô¾õÂÖ¤ò¸µ¤Ë¥­¡¼¥¹¥È¥ê¡¼¥à¤Èʿʸ¤òÉü¸µ¤¹¤ë¡¥Trivium¤Ø¤Î¥¹¥­¥ã¥ó¥Ù¡¼¥¹¹¶·â¤ËÂФ·½¾Íè¼êË¡¤Ç¤Ï¡¤°Å¹æ²óÏ©¤ÎÆâÉô¥ì¥¸¥¹¥¿¤Î¤ß¤¬¥¹¥­¥ã¥ó¥Á¥§¥¤¥ó¤Ë´Þ¤Þ¤ì¤Æ¤¤¤ë¤³¤È¤¬Á°Äó¤Ç¤¢¤ê¡¤¼þÊÕ²óÏ©¤Î¥ì¥¸¥¹¥¿¤¬¥¹¥­¥ã¥ó¥Á¥§¥¤¥ó¤Ë´Þ¤Þ¤ì¤Æ¤¤¤ë¾ì¹ç¡¤¥¹¥­¥ã¥ó¥Á¥§¥¤¥ó¤ÎÆâÉô¹½Â¤¤ò²òÀϤǤ­¤Ê¤¤¡¥°ìÈ̤ˡ¤LSI¥Á¥Ã¥×¤Ë¤Ï°Å¹æ²óÏ©¤È¶¦¤ËÊ£¿ô¤Î²óÏ©¤¬Æ±°ì¥¹¥­¥ã¥ó¥Á¥§¥¤¥ó¤Ë´Þ¤Þ¤ì¤ë¤³¤È¤¬Â¿¤¯¡¤½¾Íè¼êË¡¤ò¼ÂºÝ¤Î¹¶·â¼êË¡¤È¤·¤ÆÍøÍѤ¹¤ë¤³¤È¤ÏÆñ¤·¤¤¡¥ËܹƤǤϡ¤¥¹¥­¥ã¥ó¥Á¥§¥¤¥ó¤Î¹½Â¤¤Ë°Í¸¤·¤Ê¤¤Trivium¤Ø¤Î¥¹¥­¥ã¥ó¥Ù¡¼¥¹¹¶·â¼êË¡¤òÄó°Æ¤¹¤ë¡¥Äó°Æ¼êË¡¤Ç¤Ï¡¤1¥Ó¥Ã¥È¥ì¥¸¥¹¥¿ÃͤÎÆþÎÏ¡¦Æ°ºî¥µ¥¤¥¯¥ë¿ô¤ËÂФ¹¤ëÊѲ½¤¬¤½¤Î¥ì¥¸¥¹¥¿¸ÇÍ­¤ÎÃͤˤʤ뤳¤È¤òÍøÍѤ·Trivium¤ÎÆâÉô¾õÂÖ¤òÉü¸µ¤¹¤ë¡¥·×»»µ¡¼Â¸³¤Ë¤è¤ê¡¤¥¹¥­¥ã¥ó¥Á¥§¥¤¥ó¤Ë¼þÊÕ²óÏ©¤¬´Þ¤Þ¤ì¤ë¾ì¹ç¤Ç¤â¡¤Äó°Æ¼êË¡¤òÍѤ¤¤ÆTrivium¤ÎÆâÉô¾õÂÖ¤òÉü¸µ¤·¡¤Ê¿Ê¸¤òÉü¸µ¤Ç¤­¤ë¤³¤È¤ò³Îǧ¤·¤¿¡¥

C2-1-2 (»þ´Ö: 9:40 - 10:05)
Âê̾¥é¥ó¥À¥à¥ª¡¼¥À¡¼¥¹¥­¥ã¥ó¤Ë¤è¤ë¥»¥­¥å¥¢¥¹¥­¥ã¥óÀß·×
Ãø¼Ô ¡ýÀ×Éô ͪÂÀ (Áá°ðÅÄÂç³ØÂç³Ø±¡´ð´´Íý¹©³Ø¸¦µæ²Ê), »Ë Ëô²Ú (Áá°ðÅÄÂç³Ø¹âÅù¸¦µæ½ê), Ìøß· À¯À¸, ¸ÍÀî ˾ (Áá°ðÅÄÂç³ØÂç³Ø±¡´ð´´Íý¹©³Ø¸¦µæ²Ê)
Pagepp. 448 - 453
Keyword ¥¹¥­¥ã¥ó¥Ù¡¼¥¹¹¶·â, ¥»¥­¥å¥¢¥¹¥­¥ã¥óÀß·×, AES
Abstract¥¹¥­¥ã¥ó¥Æ¥¹¥È¤Ï²óÏ©ÆâÉô¤Î¥ì¥¸¥¹¥¿¤òľÎó¤ËÀܳ¤·¤¿¥¹¥­¥ã¥ó¥Á¥§¥¤¥ó¤òÄ̤·¤Æ²óÏ©¤ÎÆâÉô¾õÂÖ¤òÀ©¸æ¡¤´Ñ¬¤Ç¤­¤ë¤¿¤á¡¤¥Æ¥¹¥È¸úΨ¤Î¹â¤¤¥Æ¥¹¥È¼êË¡¤Ç¤¢¤ë¡¥¤·¤«¤·¡¤°Å¹æ²óÏ©¤ËÂФ·¤Æ¥¹¥­¥ã¥ó¥Á¥§¥¤¥ó¤ò¼ÂÁõ¤¹¤ë¤È¹â¤¤À©¸æÀ­¤È´Ñ¬À­¤Ë¤è¤Ã¤ÆÈëÌ©¸°²òÆÉ¤Î´í¸±À­¤¬¤¢¤ë¡¥¥¹¥­¥ã¥ó¥Á¥§¥¤¥ó¤òÍѤ¤¤ë¹¶·â¼êË¡¤ò¥¹¥­¥ã¥ó¥Ù¡¼¥¹¹¶·â¤È¸Æ¤Ö¡¥ËܹƤǤϡ¤°ÂÁ´À­¤È¥Æ¥¹¥ÈÍÆ°×À­¤òξΩ¤¹¤ë¥»¥­¥å¥¢¥¹¥­¥ã¥ó¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤òÄó°Æ¤¹¤ë¡¥Äó°Æ¼êË¡¤Ç¤Ï¡¤¥¹¥­¥ã¥ó¥Á¥§¥¤¥ó¤ò¥µ¥Ö¥Á¥§¥¤¥ó¤Ëʬ³ä¤·¡¤¥µ¥Ö¥Á¥§¥¤¥óËè¤ÎÀܳ½ç¤ò²¾ÁÛŪ¤ËưŪ¤ËÊѲ½¤µ¤»¤ë¡¥¹¶·â¼Ô¤Ï¥µ¥Ö¥Á¥§¥¤¥ó¤ÎÀܳ½ç¤òͽ¬¤¹¤ë¤³¤È¤¬º¤Æñ¤Ç¤¢¤ë¤¬¡¤¥Æ¥¹¥È¼Ô¤Ïͽ¬¡¤Áàºî²Äǽ¤Ç¤¢¤ë¤³¤È¤Ç¡¤°ÂÁ´À­¤È¥Æ¥¹¥ÈÍÆ°×À­¤òξΩ¤µ¤»¤ë¡¥AES°Å¹æ²óÏ©¤ËÄó°Æ¼êË¡¤ò¼ÂÁõ¤·¡¤ÌÌÀÑ¥ª¡¼¥Ð¡¼¥Ø¥Ã¥É¤¬¾®¤µ¤¤¤³¤È¤ò¼¨¤¹¡¥

C2-1-3 (»þ´Ö: 10:05 - 10:30)
Âê̾RDR¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤òÂоݤȤ·¤¿»þ´Ö¡¦ÌÌÀÑÀ©Ìó¤Ë¤â¤È¤Å¤¯¥Õ¥©¡¼¥ë¥È¥»¥­¥å¥¢¹â°Ì¹çÀ®¼êË¡
Ãø¼Ô ¡ýÀî¼ °ì»Ö, Ìøß· À¯À¸, ¸ÍÀî ˾ (Áá°ðÅÄÂç³ØÂç³Ø±¡´ð´´Íý¹©³Ø¸¦µæ²Ê)
Pagepp. 454 - 459
Keyword ¥Õ¥©¡¼¥ë¥È¥»¥­¥å¥¢, ʹԸí¤ê¸¡½Ð, RDR¥¢¡¼¥­¥Æ¥¯¥Á¥ã, ÇÛÀþÃÙ±ä
AbstractȾƳÂΤÎÈùºÙ²½µ»½Ñ¿ÊŸ¤Ëȼ¤¤¡¤¥½¥Õ¥È¥¨¥é¡¼¤Ëµ¯°ø¤¹¤ë¿®ÍêÀ­¤ÎÄã²¼µÚ¤ÓÇÛÀþÃÙ±ä¤ÎÁýÂ礬ÌäÂê¤È¤Ê¤Ã¤Æ¤¤¤ë¡¥¿®ÍêÀ­¤ÎÄã²¼¤ò¹îÉþ¤¹¤ë¼êË¡¤ËʹԸí¤ê¸¡½Ð¤òÍѤ¤¤¿¥Õ¥©¡¼¥ë¥È¥»¥­¥å¥¢Àß·×¼êË¡¤¬¤¢¤ë¤¬¡¤°ìÈ̤ˡ¤»þ´Ö¡¿ÌÌÀÑ¥ª¡¼¥Ð¡¼¥Ø¥Ã¥É¤¬Ãø¤·¤¯Â礭¤¤¡¥ËܹƤǤϡ¤¹â°Ì¥ì¥Ù¥ë¤ÇÇÛÀþÃÙ±ä¤ò¹Íθ²Äǽ¤ÊRDR¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤òÂоݤˡ¤»þ´Ö¡¦ÌÌÀÑÀ©Ìó¤Ë¤â¤È¤Å¤¯¥Õ¥©¡¼¥ë¥È¥»¥­¥å¥¢¹â°Ì¹çÀ®¼êË¡¤òÄó°Æ¤¹¤ë¡¥Äó°Æ¼êË¡¤Ï±é»»½èÍý¤òÉôʬŪ¤ËÆó½Å²½¤¹¤ë¼êË¡¤Ç¤¢¤ê¡¤»þ´ÖÀ©Ìó¤òÄ̾ï·×»»¤Î¼Â¹Ô»þ´Ö¡¤ÌÌÀÑÀ©Ìó¤òÄ̾ï·×»»ÍѤËÍÑ°Õ¤·¤¿RDR¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤È¤¹¤ë¡¥Äó°Æ¼êË¡¤ò·×»»µ¡¾å¤Ë¼ÂÁõ¤·¡¤½¾Íè¼êË¡¤ÈÈæ³Ó¤·¤¿·ë²Ì¡¤»þ´ÖµÚ¤ÓÌÌÀÑ¥ª¡¼¥Ð¡¼¥Ø¥Ã¥É¤Ê¤¯ºÇÂç24.41¡ó¿®ÍêÀ­¤ò¸þ¾å¤µ¤»¤ë¤³¤È¤ËÀ®¸ù¤·¤¿¡¥


¥»¥Ã¥·¥ç¥ó C2-2 ¾·ÂÔ¹Ö±éII¡¦¥ê¥½¥°¥é¥Õ¥£
Æü»þ: 2013ǯ7·î30Æü(²Ð) 10:45-12:00
Éô²°: 405¼¼
ºÂĹ: ÃæÉð È˼÷ (Ë̶彣»ÔΩÂç³Ø ¹ñºÝ´Ä¶­¹©³ØÉô ¾ðÊó¥á¥Ç¥£¥¢¹©³Ø²Ê)

C2-2-1 (»þ´Ö: 10:45 - 11:35)
Âê̾(¾·ÂÔ) Àèü¥ê¥½¥°¥é¥Õ¥£¤Ë¤ª¤±¤ë¥Þ¥¹¥¯¤È¾ÈÌÀ¤ÎºÇŬ²½µ»½Ñ
Ãø¼Ô ¡û¶¶ËÜ Î´´õ ((³ô)Åì¼Ç ¥»¥ß¥³¥ó¥À¥¯¥¿¡¼¡õ¥¹¥È¥ì¡¼¥¸¼Ò), ¹ÃÈå ¹¯¿­ ((³ô)Åì¼Ç À¸»ºµ»½Ñ¥»¥ó¥¿¡¼), ºä¼ç ·½»Ë, ÌîÅè Ìмù, ¾®Ã« ÉÒÌé ((³ô)Åì¼Ç ¥»¥ß¥³¥ó¥À¥¯¥¿¡¼¡õ¥¹¥È¥ì¡¼¥¸¼Ò)
Pagepp. 460 - 465
Keyword lithography, SMO, source mask optimization, DFM
AbstractÈùºÙ¤ÊȾƳÂΥǥХ¤¥¹¤ò¼Â¸½¤¹¤ë¸°¤Î°ì¤Ä¤¬¥ê¥½¥°¥é¥Õ¥£µ»½Ñ¤Ç¤¢¤ë¡¥¥ê¥½¥°¥é¥Õ¥£µ»½Ñ¤Ï¥Þ¥¹¥¯¤È¸Æ¤Ð¤ì¤ë²óÏ©¥Ñ¥¿¡¼¥ó¤ÎÉÁ¤«¤ì¤¿¸¶ÈĤò¡¢½Ì¾®Åê±ÆϪ¸÷ÁõÃ֤ˤè¤Ã¤Æ¥¦¥§¡¼¥Ï¾å¤Ëž¼Ì¤¹¤ëµ»½Ñ¤Ç¤¢¤ë¡¥ºÇÀèü¤Î¥ê¥½¥°¥é¥Õ¥£¤Ç¤Ï¡¤»ÈÍѤ¹¤ë¥Þ¥¹¥¯¤È¥Þ¥¹¥¯¤Ë¾È¼Í¤¹¤ë¾ÈÌÀ¤òƱ»þ¤ËºÇŬ²½¤·¤Æ¤¤¤ë¡¥¥Þ¥¹¥¯¤Ï¡¤²óÏ©¥Ñ¥¿¡¼¥ó¤òñ½ã¤Ë³ÈÂ礷¤Æ¤¤¤ë¤ï¤±¤Ç¤Ï¤Ê¤¯¡¤Ïª¸÷¸å¤Î¥Ñ¥¿¡¼¥óÀ£Ë¡¤ÎÀºÅÙ¤ò³ÎÊݤ¹¤ë¤¿¤á¡¤²óÏ©¥Ñ¥¿¡¼¥ó¤Î·Á¾õ¤òÊÑ·Á¤µ¤»¤¿¤ê¡¤¥Ñ¥¿¡¼¥ó¼þÊդ˿¿ô¤ÎÊä½õ¥Ñ¥¿¡¼¥ó¤òÇÛÃÖ¤·¤¿¤ê¤·¤ÆºîÀ®¤µ¤ì¤Æ¤¤¤ë¡¥¤Þ¤¿¡¤¥Þ¥¹¥¯¤Ë¾È¼Í¤¹¤ë¾ÈÌÀ¸÷¤Ï¡¤¥Þ¥¹¥¯Ëè¤Ë¾ÈÌÀ¡Ê·Á¾õ¤äµ±Å١ˤòºÙ¤«¤¯ºÇŬ²½¤·¤Æ¤¤¤ë¡¥ËÜȯɽ¤Ç¤Ï¡¤¥Þ¥¹¥¯¤È¾ÈÌÀ¤ò¥·¥ß¥å¥ì¡¼¥·¥ç¥óµ»½Ñ¤ä¿ôÍýºÇŬ²½¼êË¡¤òÍѤ¤¤ÆºÇŬ²½¤¹¤ëµ»½Ñ¤Ç¤¢¤ëSource Mask Optimization(SMO)¤Ë¤Ä¤¤¤Æ¾Ò²ð¤¹¤ë¡¥

C2-2-2 (»þ´Ö: 11:35 - 12:00)
Âê̾Overlap Area Maximization in Stitch Selection for LELE Double Patterning
Ãø¼Ô ¡ûYukihide Kohira (The University of Aizu), Yoko Takekawa, Chikaaki Kodama (Toshiba Corporation), Atsushi Takahashi (Tokyo Institute of Technology), Shigeki Nojima, Satoshi Tanaka (Toshiba Corporation)
Pagepp. 466 - 471
Keyword Double Patterning, LELE, Design for Manufacturability


¥»¥Ã¥·¥ç¥ó C2-3 ²òÀÏ¡¦¸¡¾Ú
Æü»þ: 2013ǯ7·î30Æü(²Ð) 13:30-14:20
Éô²°: 405¼¼
ºÂĹ: ºä¼ç ·½»Ë (Åì¼Ç)

C2-3-1 (»þ´Ö: 13:30 - 13:55)
Âê̾½à¥¼¥íʬ»¶¿äÄê¤È¸íº¹Ê¿³ê²½½èÍý¤òÊ»ÍѤ¹¤ë¥é¥ó¥À¥à¥¦¥©¡¼¥¯ÅŸ»ÌÖ²òÀÏ
Ãø¼Ô ¡ý²¬ºê ¹ä (µþÅÔÂç³ØÂç³Ø±¡¾ðÊó³Ø¸¦µæ²Ê), Åû°æ ¹° (Ë̳¤Æ»Âç³ØÂç³Ø±¡¾ðÊó²Ê³Ø¸¦µæ²Ê), ±ÛÃÒ ÍµÇ· (Ω̿´ÛÂç³Ø¾ðÊóÍý¹©³ØÉô¾ðÊó¥·¥¹¥Æ¥à³Ø²Ê), º´Æ£ ¹â»Ë (µþÅÔÂç³ØÂç³Ø±¡¾ðÊó³Ø¸¦µæ²Ê)
Pagepp. 472 - 477
Keyword ÅŸ»ÌÖ²òÀÏ
AbstractÂ絬ÌϤÊLSI¤ÎÅŸ»ÌÖ²òÀϤò¹â®¤«¤Ä¾Ê¥á¥â¥ê¤Ë¹Ô¤¦¥¢¥×¥í¡¼¥Á ¤È¤·¤Æ¥é¥ó¥À¥à¥¦¥©¡¼¥¯Ë¡¤¬¤¢¤ê¡¤ÁƤ¯µá¤á¤¿¿äÄêÅṲ̋òÍѤ¤¤Æ½à ¥¼¥íʬ»¶¤òãÀ®¤¹¤ë¹â®²½¼êË¡¤¬Äó°Æ¤µ¤ì¤Æ¤¤¤ë¡£¿äÄêÅṲ̋ËÀ¸¤¸ ¤Æ¤¤¤ë¸íº¹¤Ï¡¤½à¥¼¥íʬ»¶¤ÎãÀ®ÅÙ¤ËÂ礭¤¯±Æ¶Á¤¹¤ë¡¥Ê¿¶Ñ¸íº¹¤¬ Ʊ¤¸¤Ç¤¢¤Ã¤Æ¤â¡¤¶áÀÜÀáÅÀ´Ö¤Ç¸íº¹¤¬Â礭¤¯°Û¤Ê¤ë¾ì¹ç¤Ï½à¥¼¥íʬ »¶¤ÎãÀ®ÅÙ¤ÏÃø¤·¤¯Äã²¼¤·¡¤Îà»÷¤·¤¿¸íº¹¤¬À¸¤¸¤Æ¤¤¤ë¾ì¹ç¤Ï°ÂÄê ¤·¤¿À­Ç½¤òãÀ®¤Ç¤­¤ë¡¥ËܹƤǤϡ¤ÁƤ¤¿äÄêÅṲ̋òµá¤á¤¿¸å¤Ë¥ä¥³ ¥ÓË¡¤Î½èÍý¤òÁÞÆþ¤¹¤ë¤³¤È¤Ç¡¤¶áÎÙÀáÅÀÅÅ°Ì¤Î¸íº¹¤òÊ¿³ê²½¤¹¤ë¼ê Ë¡¤òÄó°Æ¤¹¤ë¡¥¼Â¸³¤Ë¤è¤ê¡¤¥ä¥³¥ÓË¡¤ÎÈ¿Éü²ó¿ô¤òŬÀÚ¤ËÀßÄꤷ¤¿ ¤È¤­ºÇÂç¤Ç55%¤Þ¤Ç²òÀÏ»þ´Ö¤òû½Ì¤¹¤ë¤³¤È¤¬¤Ç¤­¤¿¡¥

C2-3-2 (»þ´Ö: 13:55 - 14:20)
Âê̾Åý·×Ū¥â¥Ç¥ë¸¡ºº¤Ë¤ª¤±¤ë¥×¥í¥Ñ¥Æ¥£È½Äê²óÏ©¤Î¼ÂÁõ¼êË¡
Ãø¼Ô ¡ýÂçÅç ¹À»ñ, ¾¾ËÜ ¹ä»Ë, Æ£ÅÄ ¾»¹¨ (ÅìµþÂç³Ø)
Pagepp. 478 - 483
Keyword Åý·×Ū¥â¥Ç¥ë¸¡ºº, BLTL, EFSM
Abstract¥·¥¹¥Æ¥à¤ÎÆ°ºî¤Î²òÀϤˤª¤¤¤Æ¡¤¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ï¹­¤¯ÍøÍѤµ¤ì¤Æ¤¤¤ë¼êË¡¤Ç¤¢¤ë¤¬¡¤ÊÑ¿ô¤Î½é´üÃͤäÁ«°Ü¤¬Ê¬ÉÛ¤¹¤ë¾ì¹ç¤Ë¡¤¤½¤Î·ë²Ì¤ò²òÀϤ¹¤ë¼êË¡¤È¤·¤Æ¡¤Åý·×Ū¥â¥Ç¥ë¸¡ºº¤¬ÍøÍѤµ¤ì¤ë¡¥Åý·×Ū¥â¥Ç¥ë¸¡ºº¤Ë¤ª¤¤¤Æ¡¤ÀºÅ٤ι⤤·ë²Ì¤òÆÀ¤ë¤¿¤á¤Ë¤Ï¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Î²ó¿ô¤òÁý¤ä¤¹É¬Íפ¬¤¢¤ë¤¿¤á¡¤¸¡ºº¤Î¹â®²½¤¬É¬ÍפȤʤ롥ËܹƤǤϡ¤Åý·×Ū¥â¥Ç¥ë¸¡ºº¤Ë¤ª¤¤¤ÆÄ´¤Ù¤ëÂоݤȤʤë»ÅÍͤäÀ­¼Á¡Ê¥×¥í¥Ñ¥Æ¥£¡Ë¤òµ­½Ò¤¹¤ëÍ­³¦Àþ·Á»þÁêÏÀÍý(BLTL)¤Ë¤Ä¤¤¤Æ¡¤¤½¤Î¿¿µ¶¤ÎȽÄê¤ò¹Ô¤¦¾õÂÖµ¡³£¤ÎºîÀ®¼êË¡¤òÄó°Æ¤¹¤ë¡¥Äó°Æ¤·¤¿¼êË¡¤Ë¤è¤ê¥×¥í¥Ñ¥Æ¥£¥Á¥§¥Ã¥«¤òºîÀ®¤·¡¤¤½¤ÎÆ°ºî¤Îɾ²Á¤ò¹Ô¤Ã¤¿¡¥


¥»¥Ã¥·¥ç¥ó D2-1 Î¥»¶ºÇŬ²½¤È¥½¥Õ¥È¥¦¥§¥¢»ÅÍ͵­½Ò
Æü»þ: 2013ǯ7·î30Æü(²Ð) 9:15-10:30
Éô²°: 311B¼¼
ºÂĹ: ÅÄÃæ ͦ¼ù (·²ÇÏÂç³Ø)

D2-1-1 (»þ´Ö: 9:15 - 9:40)
Âê̾»þ´ÖÊѲ½¤òȼ¤¦Æß´¶¤Ê·èÄêÏÀŪγ»Ò·²ºÇŬ²½Ë¡
Ãø¼Ô ¡ý´Ý»³ °ìµª, ºØÆ£ ÍøÄÌ (Ë¡À¯Âç³Ø Íý¹©³ØÉô Åŵ¤ÅŻҹ©³Ø²Ê)
Pagepp. 484 - 488
Keyword γ»Ò·²ºÇŬ²½Ë¡, ºÇŬ²½ÌäÂê, Ê£¿ô²òÌäÂê, »þÊÑÆß´¶¥Ñ¥é¥á¡¼¥¿
AbstractËÜÏÀʸ¤Ç¤ÏÊ£¿ô²òÌäÂê¤ËÂФ¹¤ëγ»Ò·²ºÇŬ²½Ë¡¤Ë¤Ä¤¤¤Æ¹Í»¡¤¹¤ë. ¥·¥¹¥Æ¥à¤Ï·èÄêÏÀŪ¤Êº¹Ê¬ÊýÄø¼°¤Ë»ÙÇÛ¤µ¤ì¤ë. ¥¢¥ë¥´¥ê¥º¥à¤Ï»þ´ÖÊѲ½¤Ëȼ¤¤ÊѲ½¤¹¤ë, »þÊÑÆß´¶¥Ñ¥é¥á¡¼¥¿¤ò»ý¤Ä. ¤³¤ì¤ÏÊ£¿ô²òõº÷¤Ë¤ª¤¤¤ÆÍ­Íø¤ËƯ¤¯¾ì¹ç¤¬¤¢¤ë. ¥¢¥ë¥´¥ê¥º¥à¤ò½¾Íè¤Î¥í¡¼¥«¥ë¥Ù¥¹¥È·¿¤ÎPSO¤ÈÈæ³Ó¤¹¤ë¤¿¤á¤Ë, Henon map¤Î¼þ´üÅÀõº÷ÌäÂê¤ËŬÍѤ·, ¤½¤ÎÍ­¸úÀ­¤ò¸¡Æ¤¤¹¤ë.

D2-1-2 (»þ´Ö: 9:40 - 10:05)
Âê̾³ÈÄ¥Sequence-Pair¤òÍѤ¤¤¿±ß½¼Å¶ÌäÂê¤Î°ì²òË¡
Ãø¼Ô ¡ý¼é±Ê ¼þÊ¿, ÂÀÅÄ ½¨Åµ, Ã濹 âÃÍýͺ (ÅìµþÇÀ¹©Âç³Ø ¹©³ØÉÜ ¾ðÊ󹩳ØÀ칶)
Pagepp. 489 - 494
Keyword Sequence-pair, ±ß½¼Å¶, Àþ·Á·×²èÌäÂê, ÈóÀþ·Á·×²èÌäÂê, SPC
Abstract±ß½¼Å¶ÌäÂê¤È¤Ï¡¤¸ß¤¤¤Ë½Å¤Ê¤ê¹ç¤ï¤Ê¤¤¤è¤¦¤Ë±ß¤òÊ¿Ì̶õ´Ö¾å¤ËÇÛÃÖ¤¹¤ëÌäÂê¤Ç¤¢¤ë¡¥¤³¤ì¤Þ¤Ç¤¤¤¯¤Ä¤«¤Î¼êË¡¤¬Äó°Æ¤µ¤ì¤Æ¤­¤¿¤¬¡¤´û¸¼êË¡¤Ï¼êË¡Ëè¤Ë°·¤¨¤ëÎΰè¤Î·Á¾õ¤¬¸ÂÄêŪ¤Ç¤¢¤ê¡¤½¼Å¶¤¹¤ëÎΰè¤Î·Á¾õËè¤ËŬÀڤʼêË¡¤ò»È¤¤Ê¬¤±¤Ê¤¯¤Æ¤Ï¤Ê¤é¤Ê¤¤¤È¤¤¤Ã¤¿ÌäÂêÅÀ¤¬¤¢¤Ã¤¿¡¥¤½¤³¤ÇËÜÏÀʸ¤Ç¤Ï¡¤¶ë·ÁÇÛÃÖɽ¸½ÊýË¡¤Î°ì¤Ä¤Ç¤¢¤ëSequence-pair¤ò³ÈÄ¥¤·¡¤ÍÍ¡¹¤ÊÆÌÎΰè¤Ø¤ÎÇÛÃÖ¤ËÂбþ²Äǽ¤Êɽ¸½ÊýË¡¤òÄó°Æ¤·¤¿¡¥ËÜÏÀʸ¤Ç¤Ï¤µ¤é¤Ë¡¤Äó°Æɽ¸½ÊýË¡¤«¤éÆÀ¤é¤ì¤ëÀ©Ìó¼°¤ò¶á»÷¤¹¤ë¤³¤È¤Ë¤è¤Ã¤Æ¡¤Simulated annealingË¡¤Ë¤è¤Ã¤Æ±ßÇÛÃÖ¤òõº÷¤¹¤ë¼êË¡¤òÄó°Æ¤·¤¿¡¥¤½¤·¤Æ¡¢·×»»µ¡¼Â¸³¤Ë¤è¤ê¡¢¼ÂÍÑ»þ´ÖÆâ¤Ë¤¢¤ëÄøÅÙÌ©¤ÊÇÛÃÖ¤òÆÀ¤é¤ì¤ë¤³¤È¤ò³Îǧ¤·¤¿¡¥

D2-1-3 (»þ´Ö: 10:05 - 10:30)
Âê̾´Ø¿ô·¿¸À¸ì¤òÍѤ¤¤¿IOA»ÅÍͤμÂÁõ¤Ë¤Ä¤¤¤Æ
Ãø¼Ô ¡ýµÈÀ¯ ÆÁ¹¸, ²ÏÊÕ µÁ¿® (°¦Ã驶ÈÂç³Ø)
Pagepp. 495 - 500
Keyword IOA, Erlang, ·Á¼°¼êË¡, ʬ»¶¼ÂÁõ
AbstractIOA¤ÏI/O-¥ª¡¼¥È¥Þ¥È¥óÍýÏÀ¤Ë´ð¤Å¤¯·Á¼°Åª»ÅÍ͵­½Ò¸À¸ì¤Ç¡¤Ê¬»¶¥¢¥ë¥´¥ê¥º¥à¤òµ­½Ò¡¦Ê¬ÀϤ¹¤ë¤¿¤á¤Î¥Õ¥©¡¼¥Þ¥ë¤Ê¥·¥¹¥Æ¥à¤Ç¤¢¤ë¡¥IOA¤ÏÄ̾¸·Ì©¤Ëʬ»¶¥·¥¹¥Æ¥à¤ò»ÅÍ͵­½Ò¤¹¤ë¤¿¤á¤ËÍѤ¤¤é¤ì¡¤¤½¤ÎÀµ¤·¤µ¤Ï¡¤Larch Prover¤È¸Æ¤Ð¤ì¤ëÄêÍý¾ÚÌÀ´ï¤ò»È¤Ã¤Æ·Á¼°Åª¤Ë¼¨¤µ¤ì¤ë¡¥¤³¤ì¤Ë¤è¤ê¡¤¿®ÍêÀ­¤Î¹â¤¤Ê¬»¶¥·¥¹¥Æ¥à¤òÀ߷פ¹¤ë¤³¤È¤¬¤Ç¤­¤ë¡¥¤·¤«¤·¡¤IOA¸À¸ì¤Ï´ðËÜŪ¤Ë¤Ï»ÅÍ͵­½Ò¸À¸ì¤Ç¤¢¤ê¡¤¥×¥í¥°¥é¥ß¥ó¥°¸À¸ì¤Ç¤Ï¤Ê¤¤¡¥¤½¤³¤ÇËܹƤǤϡ¤IOA»ÅÍͤ«¤éErlang¡ÊTCP/IP¤Ë¤è¤ëÄÌ¿®µ¡Ç½¤òÈ÷¤¨¤¿´Ø¿ô·¿¸À¸ì¡Ë¤Î¥×¥í¥°¥é¥à¤ËÊÑ´¹¤¹¤ë¤³¤È¤Ç¡¤IOA¤Ë¤è¤ë¥·¥¹¥Æ¥à¤òʬ»¶´Ä¶­²¼¤Ç¼Â¹Ô¤¹¤ë¡¥


¥»¥Ã¥·¥ç¥ó D2-2 ¥¢¥ë¥´¥ê¥º¥à
Æü»þ: 2013ǯ7·î30Æü(²Ð) 10:45-11:35
Éô²°: 311B¼¼
ºÂĹ: ÁêÅÄ ¿µ (Ë­¶¶µ»½Ñ²Ê³ØÂç³Ø¹©³Ø¸¦µæ²Ê ¾ðÊó¡¦ÃÎǽ¹©³Ø·Ï)

D2-2-1 (»þ´Ö: 10:45 - 11:10)
Âê̾ÄÌ¿®¥Í¥Ã¥È¥ï¡¼¥¯¤Î¥È¥é¥Õ¥£¥Ã¥¯¥Ñ¥¹¤Ë´ð¤Å¤¯¿®ÍêÀ­·×»»Ë¡¤Î²þÎÉ
Ãø¼Ô ¡ûÅIJ¬ ÃÒ»Ö, Ìî¸ý °Ò, ÅÏîµ ÉÒÀµ (¹­ÅçÂç³ØÂç³Ø±¡)
Pagepp. 501 - 506
Keyword ³ÎΨ¥Í¥Ã¥È¥ï¡¼¥¯, ¿®ÍêÀ­, ¸·Ì©²òË¡, ¶á»÷²òË¡, ·×»»µ¡¼Â¸³
AbstractĺÅÀ¤ÈÊդ˸ξã³ÎΨ¤¬ÉÕÍ¿¤µ¤ì¤Æ¤¤¤ë³ÎΨ¥Í¥Ã¥È¥ï¡¼¥¯¥â¥Ç¥ë¤Ï¤¤¤¯ ¤Ä¤«Â¸ºß¤¹¤ë¤¬¡¤ÎÓ¤é¤Ï¡¤»ØÄꤵ¤ì¤¿2ÅÀ´Ö¤ÎÄÌ¿®¤Ë´Ø¤¹¤ëÄÌ¿®¥Í¥Ã¥È¥ï¡¼¥¯¾å¤Ç ¿®ÍêÀ­¤ò¹Í¤¨¤ë¤¿¤á¤Ë¡¤¼ÂºÝ¤Î¥Í¥Ã¥È¥ï¡¼¥¯¤ÎÀ­¼Á¤òÈ¿±Ç¤µ¤»¤¿¥â¥Ç¥ë¤È¤½¤Î¿® ÍêÀ­¤Î·×»»¼êË¡¤òÄó°Æ¤·¤¿¡¥¤³¤Î¥â¥Ç¥ë¤Ç¤Ï¡¤ÄÌ¿®·ÐÏ©¤Ç¤¢¤ë¥È¥é¥Õ¥£¥Ã¥¯¥Ñ¥¹ ¤Î½¸¹ç¤¬Í¿¤¨¤é¤ì¡¤¤³¤ì¤Ë´ð¤Å¤¤¤Æ¡¤¿®ÍêÀ­É¾²Á¼ÜÅÙ(ÄÌ¿®ÍÆÎÌÁíϤ¬¼ûÍ×ÃÍ°Ê¾å ¤Ç¤¢¤ë³ÎΨ)¤òµá¤á¤Æ¤¤¤ë¡¥ËܹƤǤϡ¤¤³¤ì¤é¤Î»»½ÐË¡¤Î²þÎɤò¼çÂê¤È¤·¡¤ÎӤ餬 Äó°Æ¤·¤¿¸·Ì©²òË¡¤È¶á»÷²òË¡¤Î¹â®²½¡¤¹âÀºÅÙ²½¤ò¹Ô¤¤¡¤·×»»µ¡¼Â¸³¤Ë¤è¤ê´û¸ ¤Î²òË¡¤ÈÈæ³Ó¤¹¤ë¡¥·×»»µ¡¼Â¸³·ë²Ì¤Ë´ð¤Å¤­¡¤Äó°Æ¤·¤¿¸·Ì©²òË¡¤¬´û¸¸·Ì©²òË¡ ¤ËÈæ¤Ù¹â®¤Ë²ò¤ò½ÐÎϤ¹¤ë¤³¤È¡¤¤ª¤è¤ÓÄó°Æ¤·¤¿¶á»÷²òË¡¤Ï´û¸¶á»÷²òË¡¤ÈÈæ¤Ù ·×»»»þ´Ö¤Ï¤«¤«¤ë¤¬¹âÀºÅ٤ʾ岼³¦Ãͤò½ÐÎϤ¹¤ë¤³¤È¤ò¼¨¤¹¡¥

D2-2-2 (»þ´Ö: 11:10 - 11:35)
Âê̾Soft Tabu Search for Solving Motif Extraction Problem
Ãø¼Ô ¡ýTakafumi Matsuura, Kazumiti Numata, Tohru Ikeguchi (Tokyo University of Science)
Pagepp. 507 - 512
Keyword Combinatorial Optimization Problem, Tabu Search, Motif Extraction Problem, Heuristic Search
AbstractTo avoid local minima of combinatorial optimization problems, the tabu search have been proposed. Although the tabu search is one of the powerful meta-heuristic methods for the traveling salesman problem and the quadratic assignment problem, the tabu search is not effective for the motif extraction problem because the tabu effect of the tabu search is too strong. Then, in this paper, we propose a soft tabu search to resolve this problem. Most different point between the soft tabu search and the tabu search is that the tabu effect in the tabu search prohibits to select the same solutions for a while, while in the soft tabu search, the same solutions are hard to be selected for a while. Due to such weak tabu effect, the soft tabu search shows good performances for the motif extraction problem.


¥»¥Ã¥·¥ç¥ó Bd2_2-3 ²èÁü½èÍýII
Æü»þ: 2013ǯ7·î30Æü(²Ð) 13:30-14:50
Éô²°: 311B¼¼
ºÂĹ: ¹õºê Àµ¹Ô (¶å½£¹©¶ÈÂç³ØÂç³Ø±¡¾ðÊ󹩳ظ¦µæ±¡ÅŻҾðÊ󹩳ظ¦µæ·Ï)

Bd2_2-3-1 (»þ´Ö: 13:30 - 13:50)
Âê̾Image Enhancement Using Guided Trigonometric Bilateral Filters
Ãø¼Ô ¡ýHuimin Lu, Seiichi Serikawa (Kyushu Institute of Technology)
Pagepp. 513 - 517
Keyword image processing, underwater
AbstractThis paper describes a novel method of enhancing images using guided trigonometric bilateral filters. Scattering and color distortion are two major distortion issues for underwater optical imaging. Scattering is caused by large suspended particles, as in fog or turbid water that contains abundant particles. Our key contributions proposed include a fast guided trigonometric bilateral filtering enhancing algorithm. The enhanced images are characterized by a reduced noised level, better exposure of the dark regions, and improved global contrast where the finest details and edges are enhanced significantly. Consequently, our enhancement method achieves higher quality than other state-of-the-art methods.

Bd2_2-3-2 (»þ´Ö: 13:50 - 14:10)
Âê̾¶É½êÎΰè¤Î¿§Ê¬Éۤζ¦Ê¬»¶¼Í±Æ¤Ë´ð¤Å¤¯¥Ú¥¢²èÁü´Ö¤Î¿§ÊÑ´¹
Ãø¼Ô ¡ýΩ½» Í¥²ð, Çò°æ ·¼°ìϺ (¿®½£Âç³Ø), ±üÅÄ Àµ¹À (Ë̶彣»ÔΩÂç³Ø)
Pagepp. 518 - 523
Keyword ²èÁü¹çÀ®, Ê¿³ê²½, ¿§ÊÑ´¹
Abstract»²¾ÈÍѤβèÁü¤òÍѤ¤¤ÆÌÜŪ²èÁü¤Î½¤Éü¤ò¹Ô¤¦Guided Filtering¤Ï¡¤ÌÜŪ²èÁüñÂΤǤν¤Éü¤ËÈæ¤Ù¤Æ¼ê·Ú¤ËÀºÅ٤θþ¾å¤ò˾¤á¤ë¤¿¤á¡¤ÍÍ¡¹¤Ê¼êË¡¤ËÍѤ¤¤é¤ì¤Ï¤¸¤á¤Æ¤¤¤ë¡¥¤·¤«¤·¡¤»²¾È²èÁü¤ÈÌÜŪ²èÁü¤Î²èÁǤΣ±ÂУ±¤ÎÂбþ¤òɬÍפȤ¹¤ë¤¿¤á¡¤Èï¼ÌÂΤËÆ°¤­¤¬À¸¤¸¤Æ²èÁÇÂбþ¤¬Êø¤ì¤¿¾ì¹ç¡¤¥³¥ó¥È¥é¥¹¥È¤¬Äã²¼¤¹¤ë¡¤¥Ü¥±¤¬È¯À¸¤¹¤ë¤Ê¤É¤ÎÌäÂ꤬À¸¤¸¤ë¡¥ËÜÏÀʸ¤Ç¤Ï¡¤½¾ÍèË¡¤Ë¤ª¤¤¤ÆÍѤ¤¤é¤ì¤ë²èÁÇÂбþ¥Ù¡¼¥¹¤Î¶É½êŪ¤ÊÀþ·Á¥â¥Ç¥ë¤ËÂФ·¤Æ¡¤²èÁÇÂбþ¤òÍѤ¤¤Ê¤¤¶¦Ê¬»¶¹ÔÎó¤ÎÂбþ¤òÍѤ¤¤¿Àþ·Á¥â¥Ç¥ë¤òƳÆþ¤¹¤ë¡¥¤¿¤À¤·¡¤¿§¥à¥é¤¬À¸¤¸¤ä¤¹¤¯¤Ê¤ë¤¿¤á¡¤¿§¥à¥é¤òÍÞÀ©¤¹¤ë¼êË¡¤ò¤¢¤ï¤»¤Æ¼¨¤¹¡¥

Bd2_2-3-3 (»þ´Ö: 14:10 - 14:30)
Âê̾¿½Å²òÁüÅÙɽ¸½¤µ¤ì¤¿ÆÃħÎΰè¤Î³Ø½¬¼êË¡
Ãø¼Ô ¡ý²£ÅÄ Îç, ¾®³Þ¸¶ Çþ (ÅìµþÇÀ¹©Âç³ØÂç³Ø±¡¹©³ØÉÜÅŵ¤ÅŻҹ©³ØÀ칶), ´Øº¬ ͥǯ (ÅìµþÇÀ¹©Âç³ØÂç³Ø±¡¶¦À¸²Ê³Øµ»½Ñ¸¦µæÉô)
Pagepp. 524 - 529
Keyword ¿½Å²òÁüÅÙ²òÀÏ, ¼«¸ÊÁÈ¿¥²½¥Þ¥Ã¥×, ÆÃħÎΰè, ¥Æ¥ó¥×¥ì¡¼¥È¥Þ¥Ã¥Á¥ó¥°, ²èÁüǧ¼±
Abstract¿½Å²òÁüÅÙɽ¸½¤µ¤ì¤¿ÆÃħÎΰè¤Î³Ø½¬¼êË¡¤òÄó°Æ¤¹¤ë¡¥¥Æ¥ó¥×¥ì¡¼¥È¥Þ¥Ã¥Á¥ó¥°¤Ë¤ÏŬÀڤʥƥó¥×¥ì¡¼¥È¤¬É¬¿Ü¤Ç¤¢¤ë¡¥¤½¤Î¤¿¤á¡¤¤è¤ê¹â²òÁüÅ٤βèÁü¤ò¼¡Áؤdzؽ¬¤·¤Æ¤æ¤¯Â¿½Å²òÁüÅÙÌÚ¹½Â¤·¿SOM¤Ë¤è¤ê¥Æ¥ó¥×¥ì¡¼¥È¤ÎÀ¸À®¤ò¹Ô¤Ã¤Æ¤­¤¿¡¥¤À¤¬¡¤²òÁüÅ٤ΰ㤤¤Ë¤è¤ê³ÆÁؤνèÍý¤ËÍפë²óÏ©µ¬ÌϤ¬Â礭¤¯°Û¤Ê¤ë¡¥¤³¤Î¤¿¤á¡¤¥ê¥½¡¼¥¹¤ÎºÆÍøÍѤ¬¤Ç¤­¤Ê¤¤¤È¤¤¤¦ÌäÂ꤬¤¢¤ë¡¥¤½¤³¤Ç¡¤ÆÃħ¤¬½¸Ã椹¤ëÉôʬ¤Ç¤¢¤ëÆÃħÎΰè¤òÁªÂòŪ¤«¤ÄÍ¥ÀèŪ¤Ë³Ø½¬¤¹¤ëµ¡¹½¤È¤·¤ÆÉôʬÎΰèõº÷¤òÄɲ乤롥¤³¤ì¤Ë¤è¤ê¡¤³ÆÁؤǰ·¤¦¥Ç¡¼¥¿Î̤ò¤Û¤Ü°ìÄê¤Ë¤¹¤ë¤³¤È¤ËÀ®¸ù¤·¤¿¡¥¤Þ¤¿¡¤Â¿½Å²òÁüÅÙɽ¸½¤µ¤ì¤¿ÆÃħÎΰè¤Î¼èÆÀ¤Ë¤è¤ê¡¤SOM¤ÎʬÎàÍýͳ¤¬ÉÔÌÀ³Î¤Ç¤¢¤ë¤È¤¤¤¦ÌäÂê¤ò²ò·è¤·¤¿¡¥

Bd2_2-3-4 (»þ´Ö: 14:30 - 14:50)
Âê̾¼×ÊÃÎΰ踡½Ð¤òÍѤ¤¤¿´éǧ¾Ú¥Õ¥ì¡¼¥à¥ï¡¼¥¯¤È¤½¤ÎÀ­Ç½É¾²Á
Ãø¼Ô ¡ýÅÄÅç ͵°ìϺ, °ËÆ£ ¹¯°ì, ÀÄÌÚ ¹§Ê¸ (ÅìËÌÂç³ØÂç³Ø±¡¾ðÊó²Ê³Ø¸¦µæ²Ê), ºÙµï ÃÒ¼ù, ĹÅè À», ¾®ÎÓ ¹§¼¡ ((³ô)¥¢¥º¥Ó¥ë)
Pagepp. 530 - 535
Keyword ´éǧ¾Ú, ¼×ÊÃÎΰ踡½Ð, FW-PCA, LBP, POC
Abstract´éǧ¾Ú¥¢¥ë¥´¥ê¥º¥à¤Ë¤ª¤¤¤Æ¡¤´ã¶À¤äȱ¡¤¤Ò¤²¤Ê¤É¤Î¼×ÊÃʪ¤Ï¡¤Ç§¾ÚÀ­Ç½¤ÎÄã²¼¤ò¾·¤¯Í×°ø¤Î°ì¤Ä¤Ç¤¢¤ë¡¥Ç§¾ÚÀ­Ç½¤Î²þÁ±¤Î¤¿¤á¡¤ËÜÏÀʸ¤Ç¤Ï¡¤¼×ÊÃÎΰ踡½Ð¤òÁȤ߹ç¤ï¤»¤¿´éǧ¾Ú¥Õ¥ì¡¼¥à¥ï¡¼¥¯¤ò¿·¤¿¤ËÄó°Æ¤¹¤ë¡¥Äó°Æ¥Õ¥ì¡¼¥à¥ï¡¼¥¯¤Ç¤Ï¡¤FW-PCA (Fast Weighted-Principal Component Analysis)¤òÍѤ¤¤Æ¼×ÊÃÎΰè¤ò¸¡½Ð¤·¡¤¤½¤Î¼×ÊÃÎΰè¤ò´é²èÁü¤Î¾È¹ç¤Î¤¿¤á¤Î½Å¤ß·¸¿ô¤â¤·¤¯¤Ï¥Þ¥¹¥¯¤È¤·¤ÆÍøÍѤ¹¤ë¡¥Äó°Æ¥Õ¥ì¡¼¥à¥ï¡¼¥¯¤ÎÍ­¸úÀ­¤ò¼¨¤¹¤¿¤á¡¤LBP (Local Binary Patterns)¤ª¤è¤ÓPOC (Phase-Only Correlation)¤Î2¤Ä¤Î´éǧ¾Ú¥¢¥ë¥´¥ê¥º¥à¤ËŬÍѤ¹¤ë¡¥¸ø³«¤µ¤ì¤Æ¤¤¤ë´é²èÁü¥Ç¡¼¥¿¥Ù¡¼¥¹¤òÍøÍѤ·¤¿É¾²Á¼Â¸³¤òÄ̤·¡¤¼«Á³¼×ÊÃʪ¤ä¿Í¹©¼×ÊÃʪ¤òȼ¤¦´é²èÁü¤ËÂФ·¤Æ¡¤´éǧ¾Ú¥¢¥ë¥´¥ê¥º¥à¤ÎÀ­Ç½²þÁ±¤¬²Äǽ¤Ç¤¢¤ë¤³¤È¤ò¼Â¾Ú¤¹¤ë¡¥