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Keyword ÈóÀþ·Á²óÏ©, ²óÏ©¥·¥ß¥å¥ì¡¼¥·¥ç¥ó, ¶è´Ö²òÀÏ, Á´²òõº÷, Àþ·Á·×²èË¡
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Keyword ³µ¼þ´ü¥Õ¡¼¥ê¥¨ÊÑ´¹, ¥Ï¡¼¥â¥Ë¥Ã¥¯¥Ð¥é¥ó¥¹Ë¡
AbstractÊÑÄ´²óÏ©¤Î¤è¤¦¤ÊÊ£¿ô¼þÇÈ¿ôÆþÎϤΤ¢¤ë²óÏ©¤òSPICE¤ËÂåɽ¤µ¤ì¤ë»þ´ÖÎΰè¤Î¥·¥ß¥å¥ì¡¼¥¿¤Ç²òÀϤ¹¤ë¤ÈÈó¾ï¤Ë»þ´Ö¤¬¤«¤«¤ë¡¥¤³¤ì¤é¤Î²óÏ©¤ò¸úΨŪ¤Ë¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤¹¤ë¼êË¡¤ËÄê¾ï²òÀϤ¬¤¢¤ê¡¤ÂåɽŪ¤Ê¼êË¡¤Ë¥Ï¡¼¥â¥Ë¥Ã¥¯¥Ð¥é¥ó¥¹Ë¡¤È¥·¥å¡¼¥Æ¥£¥ó¥°Ë¡¤¬¤¢¤ë¡¥ËÜÏÀʸ¤Ç¤Ï¡¤Ê£¿ô¤Î¼þÇÈ¿ôÆþÎϤβóÏ©¤ËÂФ·¤Æ¥Ï¡¼¥â¥Ë¥Ã¥¯¥Ð¥é¥ó¥¹Ë¡¤È¥·¥å¡¼¥Æ¥£¥ó¥°Ë¡¤òÈæ³Ó¤¹¤ë¡¥¥Ï¡¼¥â¥Ë¥Ã¥¯¥Ð¥é¥ó¥¹Ë¡¤Ç¤Ï¡¤Ê£¿ô¤Î¼þÇÈ¿ô¤ÎÈæ¤¬Í­Íý¿ô¤Î¾ì¹ç¤Ë¸ÂÄꤷ¡¤Ä¾¸ò¤Ç¤¢¤ë¤³¤È¤òÊݾڤ·¤¿³µ¼þ´ü¥Õ¡¼¥ê¥¨ÊÑ´¹¤òÍѤ¤¤¿¡¥ÎãÂê²óÏ©¤Ë¤ª¤¤¤Æ¡¤¥·¥å¡¼¥Æ¥£¥ó¥°Ë¡¤ÎÊý¤¬¼ý«²ó¿ô¤ÏÁᤫ¤Ã¤¿¤¬¡¤±é»»»þ´Ö¤Ç¤Ï¥Ï¡¼¥â¥Ë¥Ã¥¯¥Ð¥é¥ó¥¹Ë¡¤ÎÊý¤¬Ã»¤¤·ë²Ì¤È¤Ê¤Ã¤¿¡¥


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Keyword ʬ´ô, ¥«¥ª¥¹, A/D¥³¥ó¥Ð¡¼¥¿
Abstract¥¹¥Ñ¥¤¥­¥ó¥°¥Ë¥å¡¼¥í¥ó¤Ë´ð¤Å¤¯A/D Converter¤ò¾Ò²ð¤¹¤ë¡£¤Þ¤¿¡¢¶èʬÀþ·Á¥Ù¡¼¥¹¿®¹æ¤òÍ­¤¹¤ë¥¹¥Ñ¥¤¥­¥ó¥°¥Ë¥å¡¼¥í¥ó¤Îưºî¤ò¹Í»¡¤¹¤ë¡£¥Ë¥å¡¼¥í¥ó¤Îưºî¤Ï1¼¡¸µ¥Ñ¥ë¥¹°ÌÃ֥ޥåפˤè¤Ã¤Æµ­½Ò¤µ¤ì¤ë¡£¶èʬÀþ·Á¥Ù¡¼¥¹¿®¹æ¤òÆþÎϤ¹¤ë¤³¤È¤Ç¶èʬÀþ·Á¤Ê¥Þ¥Ã¥×¤¬ÆÀ¤é¤ì¡¢Â¿ºÌ¤Ê¸½¾Ý¤òÀºÌ©¤Ë²òÀϤǤ­¤ë¡£ËܹƤǤϥ¹¥Ñ¥¤¥­¥ó¥°¥Ë¥å¡¼¥í¥ó¤Ë´ð¤Å¤¯Gray A/DÊÑ´¹¤ò¼¨¤·¡¢A/DÊÑ´¹¤ËÍѤ¤¤¿¥Þ¥Ã¥×¤òÍøÍѤ·¤ÆÊ¬´ô¸½¾Ý¤ò¹Í»¡¤¹¤ë¡£

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Keyword central pattern generator network, quadruped locomotion signals, van der pol equation, gaits
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Keyword ¥·¥ê¥³¥óÌÖËì, ¹­¥À¥¤¥Ê¥ß¥Ã¥¯¥ì¥ó¥¸, CMOS¥¤¥á¡¼¥¸¥»¥ó¥µ
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Keyword ºÇÂç¥Õ¥í¡¼ÌäÂê, ¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯, ¥Í¥Ã¥È¥ï¡¼¥¯¥Õ¥í¡¼ÌäÂê
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Âê̾(¾·ÂÔ)Next-Generation Analog, RF, & Mixed-Signal Circuit Simulation
Ãø¼Ô *Ravi Subramanian(Berkeley Design Automation)
AbstractBerkeley Design Automation ¤Î¸¡¾Úµ»½Ñ¤Ï¥³¥ó¥·¥å¡¼¥Þ¡¢ÄÌ¿®¡¢¥Í¥Ã¥È¥ï¡¼¥¯¡¢¥³¥ó¥Ô¥å¡¼¥¿¤ò´Þ¤àÉý¹­¤¤¥¢¥×¥ê¥±¡¼¥·¥ç¥ó¤Ë¤ª¤±¤ë¥¢¥Ê¥í¥°¡¢RF¡¢¥ß¥Ã¥¯¥¹¥·¥°¥Ê¥ë²óÏ©¤Î¸¡¾Ú¤òÂ礭¤¯Êѳפ·¤Æ¤¤¤Þ¤¹¡£¤³¤Î¥»¥Ã¥·¥ç¥ó¤Ç¤Ï¡¢¤³¤Î Precision Circuit Analysis µ»½Ñ¤Ë¤Ä¤¤¤Æ¡¢¼ÒĹ·ó CEO ¤Î¥é¥Ó ¥¹¥Ö¥é¥Þ¥Ë¥¢¥ó¤¬²òÀ⤷¤Þ¤¹¡£

Âê̾(¾·ÂÔ)MEMSÂбþ²óÏ©¥·¥ß¥å¥ì¡¼¥·¥ç¥óµ»½Ñ
Ãø¼Ô *¿åÅÄ Àé±×, ˾·î ½ÓÊå((³ô)¿ôÍý¥·¥¹¥Æ¥à), ÃæÂ¼ ʸ¿®, ÉðÆ£ ²í´ð, ·ª¸¶ ÅØ(¡Ê³ô¡Ë¿ôÍý¥·¥¹¥Æ¥à)
Pagepp. 35 - 40
Keyword MEMS, ²óÏ©¥·¥ß¥å¥ì¡¼¥¿, Ï¢À®²òÀÏ
AbstractMEMS¡ÊÈù¾®Åŵ¤µ¡³£·Ï¡Ë¤Ï¡¢¥·¥ê¥³¥ó´ðÈĤξå¤ËȾƳÂÎ¤ÈÆ±ÍÍ¤Î¥×¥í¥»¥¹¤Çµ¡¹½ÉôÉʤòºî¤ê¤³¤ß¡¢¥¢¥¯¥Á¥å¥¨¡¼¥¿¤¢¤ë¤¤¤Ï¥»¥ó¥µ¤È¤·¤Æ¡¢Åŵ¤¶îư¤¢¤ë¤¤¤ÏÅŵ¤·×¬¤¹¤ë¤â¤Î¤Ç¤¢¤ë¡£Èæ³ÓŪ¿·¤·¤¤Ê¬Ìî¤Ç¤¢¤ê¡¢¤½¤Î²òÀϼêÃʤȤ·¤Æ¤â¡¢µ¡¹½ÉôÉʤòÃæ¿´¤È¤·¤Æ¡¢Í­¸ÂÍ×ÁÇË¡¤Ê¤É¤Ë¤è¤ë²òÀϤ¬¼ç¤È¤Ê¤Ã¤Æ¤¤¤¿¡£ºòº£¡¢MEMS¤Ë¤ª¤¤¤Æ¤âÈùºÙ²½½¸ÀѲ½¤¬¿Ê¤ß¡¢µ¡¹½Éôʬ¤È¤½¤ì¤ò¶îư¤¹¤ëÅŻҲóÏ©Éôʬ¤òƱ»þ¤Ë²òÀϤ¹¤ëɬÍפ¬Â礭¤¯¤Ê¤Ã¤Æ¤¤¤ë¡£º£²ó¡¢²óÏ©¥·¥ß¥å¥ì¡¼¥¿¤Î¼êË¡¤ò³ÈÄ¥¤·¤Æ¡¢µ¡¹½Éôʬ¤ÎÎϳØÊýÄø¼°¤È¡¢ÅŻҲóÏ©ÊýÄø¼°¤òϢΩ¤µ¤»¤Æ²ò¤¯²òÀϥġ¼¥ë¤ò³«È¯¤·¤¿¤Î¤Ç¡¢¤½¤ÎÊó¹ð¤ò¤¹¤ë¡£


¥»¥Ã¥·¥ç¥ó A1-4 ¹©³ØÅª±þÍѤˤª¤±¤ëÈóÀþ·ÁÌäÂê
Æü»þ: 2008ǯ4·î21Æü(·î) 15:00-17:05
ºÂĹ: ÄÚº¬ Àµ (Ĺ²¬µ»½Ñ²Ê³ØÂç³Ø)

Âê̾An Application of Binry Neural Networks for Prediction of Spatio-Temporal Patterns
Ãø¼Ô *Tohru Abe, Toshimichi Saito(Hosei University)
Pagepp. 41 - 44
Keyword Binary Neural Networks, Cellular Automata, Prediction of Spatio-Temporal Patterns
AbstractThis paper studies application of binary neural networks (BNN) to prediction for spatio-temporal patterns. In the approach, we assume that the objective spatio-temporal patterns can be approximated by a cellular automaton (CA). Teacher signals are extracted from a part of objective pattern and are used for learning of the BNN. The BNN is used to govern dynamics of CA that outputs prediction patterns. Performing basic numerical experiments, we have investigated relation among the number of teacher signals, the number of hidden neurons and prediction performance. The results provide basic information for development of robust prediction method for digital spatio-temporal patterns.

Âê̾L2¶õ´Ö¥Õ¥¡¥¸¥£½¸¹ç²¤Î¥³¥ó¥Ñ¥¯¥ÈÀ­¤ÈºÇŬÀ©¸æ¤Ø¤Î±þÍÑ
Ãø¼Ô *»°ÀÐ µ®»Ö(ήÄ̲ʳØÂç³Ø), »Õ¶Ì ¹¯À®(¿®½£Âç³Ø)
Pagepp. 45 - 50
Keyword ¥Õ¥¡¥¸¥£À©¸æ, Âå¿ôÀÑ-²Ã»»-½Å¿´Ë¡, ¥³¥ó¥Ñ¥¯¥ÈÀ­
Abstract¥Õ¥¡¥¸¥£À©¸æ¤Ë¤ª¤±¤ëºÇŬ²ò¤Î¸ºß, ¤¹¤Ê¤ï¤Áɾ²Á´Ø¿ô¤òºÇ¾®(ºÇÂç)¤Ë¤¹¤ë¥á¥ó¥Ð¥·¥Ã¥×´Ø¿ô¤Î¸ºß¤Ë¤Ä¤¤¤Æ¤Î¹Í»¡¤ò¹Ô¤Ã¤¿.ɾ²Á´Ø¿ô¤ÎÄêµÁ°è¤È¤·¤Æ, L2¶õ´Ö¤«¤éÁª¤ó¤À¥á¥ó¥Ð¥·¥Ã¥×´Ø¿ô¤Î½¸¹ç¤ò¹Í¤¨, ¤½¤Î½¸¹ç¤Î¼å°ÌÁê¤Ë´Ø¤¹¤ë¥³¥ó¥Ñ¥¯¥ÈÀ­¤òÆÀ¤¿. ¤Þ¤¿, Âå¿ôÀÑ-²Ã»»-½Å¿´Ë¡¤ò ¥Õ¥£¡¼¥É¥Ð¥Ã¥¯¤ËÍѤ¤¤¿¥Õ¥¡¥¸¥£À©¸æ¤Ë¤ª¤±¤ë¾õÂÖÊýÄø¼°¤Î²ò¤Î°ì°ÕÀ­¤ò, ¿äÏÀË¡¤ÎLipschitzϢ³À­¤Ë¤è¤êÆÀ¤¿. ¤µ¤é¤Ë¥á¥ó¥Ð¥·¥Ã¥×´Ø¿ô½¸¹ç¾å¤ÎÈÆ´Ø¿ô¤È¤·¤Æ¤Î¥Õ¥¡¥¸¥£¿äÏÀ¤ª¤è¤Óɾ²Á´Ø¿ô¤ÎϢ³À­¤òÄ´¤Ù, ¥Õ¥¡¥¸¥£À©¸æ¤Ë¤ª¤±¤ëɾ²Á´Ø¿ô¤òºÇ¾®(ºÇÂç)¤Ë¤¹¤ë¥á¥ó¥Ð¥·¥Ã¥×´Ø¿ô¤Î¸ºß¤ò¼¨¤·¤¿.

Âê̾ǾÇȤΥե饯¥¿¥ëÀ­¤Ë´ð¤Å¤¤¤¿´¶À­¾ðÊó·×¬
Ãø¼Ô *ÃæÀî ¶©¹°(Ĺ²¬µ»½Ñ²Ê³ØÂç³Ø)
Pagepp. 51 - 56
Keyword ǾÇÈ, ¥Õ¥é¥¯¥¿¥ë, ´¶À­, ·×¬, ¥«¥ª¥¹
AbstractËÜÊó¹ð¤Ç¤Ï¡¤¥«¥ª¥¹¡¦¥Õ¥é¥¯¥¿¥ëÍýÏÀ¤Ë´ð¤Å¤­Ç¾ÇȤä¶áÀÖ³°Ê¬¸÷¤Ë´Ñ¤é¤ì¤ëÀ¸Âο®¹æ¤ÎÉáÊ×Ū¤ÊÆÃħÎÌ ¤Ç¤¢¤ë¥Õ¥é¥¯¥¿¥ë¼¡¸µ¤òµá¤á¡¤¥Ò¥ÈǾ¤ÎÊ£»¨¤Ê»þ¶õ´Ö¥À¥¤¥Ê¥ß¥¯¥¹¤òÄêÎ̲½¤·¡¤´¶À­¾ðÊó¤ò·×¬¤¹¤ë¤¿¤á¤Î¿·µ¬¼ê Ë¡¤òÄ󰯤¹¤ë¡¥¶ñÂÎŪ¤ÊÌäÂê¤Ë¤ª¤¤¤Æ¡¤½¾Íè¤Î¥¹¥Ú¥¯¥È¥ë²òÀϤ˴ð¤Å¤¯¼êË¡¤Ç¤Ïº¤Æñ¤Ç¤¢¤Ã¤¿¡¤¹â¤¤»þ´Öʬ²òǽ¤È ¹â¤¤²òÀÏÀºÅÙ¤ò¼Â¸½¤¹¤ë¤³¤È¤ËÀ®¸ù¤·¤¿¡¥

Âê̾ÆâÉô¹½Â¤¤Î¸ø³«¤òÁÛÄꤷ¤¿¥«¥ª¥¹°Å¹æ¤Ë¤Ä¤¤¤Æ
Ãø¼Ô ´äÅÄ ÏÂÇÏ, »ûÅÄ Íª²ð, *ÅÄÃæ Ç(ÌÀ¼£Âç³ØÂç³Ø±¡Íý¹©³Ø¸¦µæ²Ê), ³ùÅÄ ¹°Ç·(ÌÀ¼£Âç³ØÍý¹©³ØÉô)
Pagepp. 57 - 62
Keyword ¥«¥ª¥¹, ÈëÌ©ÄÌ¿®, ÆâÉô¹½Â¤¤Î¸ø³«
Abstract¥¤¥ó¥¿¡¼¥Í¥Ã¥È¤Ê¤É¤Î¥Ç¥£¥¸¥¿¥ëÄÌ¿®ÌÖ¤ËÂФ·¤ÆÈëÌ©ÄÌ¿®¤ò¼Â¸½¤¹¤ëÊýË¡¤È¤·¤Æ¡¢¥«¥ª¥¹¤òÍѤ¤¤¿¥¹¥È¥ê¡¼¥à°Å¹æ¤ÏÍ­¸ú¤Ê¼êË¡¤Î°ì¤Ä¤Ç¤¢¤ë¡£É®¼Ô¤é¤Ï¡¢¥«¥ª¥Æ¥£¥Ã¥¯¥Ë¥å¡¼¥í¥ó¤òÍѤ¤¡¢¥Ç¥£¥¸¥¿¥ëÄÌ¿®Ì֤ǤÎÈëÌ©ÄÌ¿®¤òÁÛÄꤷ¤¿¥·¥¹¥Æ¥à¤òÄ󰯤·¤Æ¤¤¤ë¡£É®¼Ô¤é¤ò´Þ¤ß¡¢¤³¤ì¤Þ¤Ç¸¡Æ¤¤µ¤ì¤Æ¤­¤¿¥«¥ª¥¹°Å¹æ¥·¥¹¥Æ¥à¤Ï¡¢¼°¤ò¸ø³«¤·¤Ê¤¤¤³¤È¤òÁ°Äó¤È¤·¤¿¤â¤Î¤Ç¤¢¤Ã¤¿¡£ Ëܸ¦µæ¤Ç¤Ï¡¢¼°¸ø³«»þ¤Ë¤ª¤±¤ë¸½¥·¥¹¥Æ¥à¤ÎÌäÂêÅÀ¤Ë¤Ä¤¤¤Æ¤Î¸¡Æ¤¤ò¹Ô¤¦¡£¤½¤Î·ë²Ì¤òƧ¤Þ¤¨¤Æ¡¢ÆâÉô¹½Â¤¤ª¤è¤ÓÆâÉô¾õÂÖÊÑ¿ô¤Î¸ø³«¤òÁ°Äó¤È¤·¤¿°Å¹æ²½¥·¥¹¥Æ¥à¤òÀ߷פ·¡¢¤½¤ÎÀ­Ç½¤òLyapunov»Ø¿ô¡¢¥Ñ¥é¥á¡¼¥¿¥ß¥¹¥Þ¥Ã¥Á¡¢¥é¥ó¥À¥àÀ­¤È¤¤¤Ã¤¿´ÑÅÀ¤Ç¸½¥·¥¹¥Æ¥à¤ÈÈæ³Ó¤·É¾²Á¤¹¤ë¡£

Âê̾¼«¸ÊÁÈ¿¥²½¥Þ¥Ã¥×¡ÊSOM¡Ë¤òÍѤ¤¤¿É÷¶·Í½Â¬¤Ë¤ª¤±¤ëͽ¬ÀºÅ٤θ¡Æ¤
Ãø¼Ô *¾®ÎÓ ÈôÄ», Ïɸ« °éμ(Ä»¼è´Ä¶­Âç³ØÂç³Ø±¡), ¿¢ÅÄ ÂóÌé(¡Ê³ô¡Ë¥®¥ã¥é¥¯¥·¡¼), Æ£¾¾ À¿°ìϺ(¡Ê³ô¡Ë¥Ù¥¬¥·¥¹¥Æ¥à), ÆñÇÈ Ê¡Ìï(Ä»¼è´Ä¶­Âç³ØÂç³Ø±¡), ÃÛë δͺ(¾¾¹¾¹©¶È¹âÅùÀìÌç³Ø¹»), é®ÌÚ ÅÐ(ÄÅ»³¹©¶È¹âÅùÀìÌç³Ø¹»)
Pagepp. 63 - 68
Keyword ¼«¸ÊÁÈ¿¥²½¥Þ¥Ã¥×, É÷¶·Í½Â¬, É÷ÎÏȯÅŵ¡
Abstract¸½ºß¡¤¾®·¿É÷ÎÏȯÅŵ¡¤Ç¤Ï¥Ñ¥ï¡¼¥¢¥·¥¹¥È·¿É÷ÎÏȯÅŵ¡¤òÍѤ¤¤¿É÷ÎÏȯÅŵ¡¤¬³«È¯¤µ¤ì¤Æ¤¤¤ë¡¥¥Ñ¥ï¡¼¥¢¥·¥¹¥È¤òµ¯Æ°¤µ¤»¤ë̵ͭ¤òȽÃǤ·¡¤¥Ð¥Ã¥Æ¥ê¡¼¤Î¾ÃÈñÅÅÎϤòÍÞ¤¨¤ë¤³¤È¤¬½ÐÍè¤Ê¤¤¤«¤È¹Í¤¨¡¤É÷¶·Í½Â¬¥·¥¹¥Æ¥à¤Î³«È¯¤ò½ÅÅÀ¤Ë¸¦µæ¤ò¹Ô¤Ã¤Æ¤¤¤ë¡¥É÷¶·Í½Â¬¤Ë¤ÏÊ£¿ô¤ÎÉ÷®¥Ç¡¼¥¿¤òÍѤ¤¤ë¤¿¤á¡¤°ÌÁêÊÝ»ý¤¬½ÐÍè¤ë¼«¸ÊÁÈ¿¥²½¥Þ¥Ã¥×¡ÊSOM¡Ë¤òÍѤ¤¤¿¡¥º£²ó¤ÎÉ÷¶·Í½Â¬¤Ï´ðËÜSOM¤òÍѤ¤¤¿24»þ´ÖÉ÷¶·Í½Â¬¤ò¹Ô¤Ã¤¿¡¥¤Þ¤¿SOM¤Ë³Ø½¬¤µ¤»¤ë³Ø½¬¥Ç¡¼¥¿Î̤ˤĤ¤¤Æ¤âÈæ³Ó¸¡Æ¤¤ò¹Ô¤Ã¤¿¡¥2¤Ä¤Îͽ¬·ë²Ì¤Îɾ²Á¤«¤é¡¤½Õµ¨¤ÈÅßµ¨¡¦²Æµ¨¤È½©µ¨¤Îͽ¬ÀºÅ٤˴ØÏ¢À­¤¬¤¢¤ë¤³¤È¤¬Ê¬¤«¤Ã¤¿¡¥


¥»¥Ã¥·¥ç¥ó Ba1-1 ADC I
Æü»þ: 2008ǯ4·î21Æü(·î) 9:00-10:15
ºÂĹ: ÁáÅÄ À¬ÌÀ (NEC¥¨¥ì¥¯¥È¥í¥Ë¥¯¥¹)

Âê̾¥Î¥¤¥º·ë¹ç·¿¥Õ¥£¡¼¥É¥Õ¥©¥ï¡¼¥É¦¤¦²ADÊÑÄ´´ï¤ÎÄó°Æ
Ãø¼Ô *¾®Ä¹Ã« È¥, »± Úß, ¾®ÎÓ ½ÕÉ×(·²ÇÏÂç³ØÂç³Ø±¡ ¹©³Ø¸¦µæ²Ê Åŵ¤ÅŻҹ©³ØÀì¹¶), °ÂÆ£ ÏÂÀµ, µÈÅÄ Çî»Ë, ¼»³ ÃλٿÍ, À¾ÅÄ ¹¬¹°(Åì¼ÇLSI ¥·¥¹¥Æ¥à¥µ¥Ý¡¼¥È(³ô))
Pagepp. 69 - 74
Keyword ­ù­ôADÊÑÄ´´ï, ¥Õ¥£¡¼¥É¥Õ¥©¥ï¡¼¥É, ¥Î¥¤¥º·ë¹ç, ¥Þ¥ë¥Á¥Ó¥Ã¥È, ¥¹¥¤¥Ã¥Á¥É¡¦¥­¥ã¥Ñ¥·¥¿
Abstract¤³¤ÎÏÀʸ¤Ç¤Ï¡¢¥Î¥¤¥º·ë¹ç·¿¥Õ¥£¡¼¥É¥Õ¥©¥ï¡¼¥É­ù­ôAD ÊÑÄ´´ï¤Î¿·¤·¤¤¹½À®Ë¡¤òÄ󰯤¹¤ë¡£¥Õ¥£¡¼¥É¥Õ¥©¥ï¡¼¥É­ù­ôADÊÑÄ´´ï¤Ç¤Ï¡¢ÊÑÄ´´ïÆâÉô¿®¹æ¤Î¿¶Éý¤¬¾®¤µ¤¤¤¿¤á¡¢¥ª¥Ú¥¢¥ó¥×¤ÎÈóÀþ·ÁÀ­¤Ë¤è¤ëÏĤߤαƶÁ¤ò·Ú¸º¤Ç¤­¤ë¡£¥Î¥¤¥º·ë¹ç·¿­ù­ôADÊÑÄ´´ï¤Ç¤Ï¥¨¥é¡¼¥Õ¥£¡¼¥É¥Ð¥Ã¥¯¤ò¤â¤Á¤¤¤Æ¡¢¤è¤ê¹âÀºÅÙ¤ÎADÊÑ´¹¤ò¼Â¸½¤Ç¤­¤ë¡£¤·¤«¤·¤Ê¤¬¤é¡¢½¾Íè¤ÎÊÑÄ´´ï¤Ç¤Ï¡¢Èæ³Ó´ï²óÏ©¤ÎÆþÎϥΡ¼¥É¤Ë²Ã»»¥¢¥ó¥×¤¬É¬ÍפǤ¢¤ê¡¢¥Á¥Ã¥×ÌÌÀѤȾÃÈñÅÅÎϤÎÁý²Ã¤ò¾·¤¤¤Æ¤·¤Þ¤¦¡£¤½¤³¤Ç¡¢ËÜÏÀʸ¤Ç¤ÏÅ۵²Ã»»ÍÑ¥ª¥Ú¥¢¥ó¥×¤òɬÍפȤ·¤Ê¤¤¡¢¥Î¥¤¥º·ë¹ç·¿¥Õ¥£¡¼¥É¥Õ¥©¥ï¡¼¥É­ù­ôAD ÊÑÄ´´ï¤Î¹½À®Ë¡¤È¤½¤Î²óÏ©¼Â¸½¼êË¡¤òÄ󰯤¹¤ë¡£¤è¤ê¾®ÌÌÀÑ¡¦Äã¾ÃÈñÅÅÎϤǡ¢¸úΨŪ¤Ë­ù­ôAD ÊÑÄ´´ï¤ÎÀ­Ç½¸þ¾å¤ò²Äǽ¤Ë¤·¤¿¡£MATLAB¤ÈSPICE ¤Ë¤è¤ë¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤ÇÄ󰯼êË¡¤ÎÍ­¸úÀ­¤ò³Îǧ¤·¤¿¡£

Âê̾¥Î¥¤¥º·ë¹ç·¿Ê£ÁǥХó¥É¥Ñ¥¹¦¤¦²ADÊÑÄ´´ï
Ãø¼Ô *»± Úß, ¾®ÎÓ ½ÕÉ×(·²ÇÏÂç³ØÂç³Ø±¡ ¹©³Ø¸¦µæ²Ê Åŵ¤ÅŻҹ©³ØÀì¹¶)
Pagepp. 75 - 80
Keyword Ê£ÁǥХó¥É¥Ñ¥¹¦¤¦²ADÊÑÄ´´ï, ¥Î¥¤¥º·ë¹ç, ¥¹¥¤¥Ã¥Á¥É¡¦¥­¥ã¥Ñ¥·¥¿²óÏ©, ¥Þ¥ë¥Á¥Ó¥Ã¥È
AbstractÄãÃæ´Ö¼þÇÈ¿ô(Low-IF) ¼õ¿®µ¡²óÏ©¤ÇÍѤ¤¤é¤ì¤ëADC ¤Î¹âÀºÅÙ²½¤òÄã¾ÃÈñÅÅÎϤǼ¸½¤¹¤ë¤¿¤á¡¢Ê£ÁǥХó¥É¥Ñ¥¹¦¤¦²AD ÊÑÄ´´ï¤Î»ÈÍѤÏÍ­¸ú¤Ê¼êË¡¤Ç¤¢¤ë¡£¥í¡¼¥Ñ¥¹¦¤¦²ADÊÑÄ´´ï¤ÇÍѤ¤¤é¤ì¤ë¥Î¥¤¥º·ë ¹ç¼êË¡¤òÊ£ÁǦ¤¦²ADÊÑÄ´´ï¤ËŬÍѤ·¡¢¥Î¥¤¥º¡¦¥·¥§¡¼¥×µ¡Ç½¤ò¶¯²½¤Ç¤­¤ëÊ£ÁǥХó¥É¥Ð¥¹¦¤¦²ADÊÑÄ´´ï¤Î¹½À®¼êË¡¤òÄ󰯤¹¤ë¡£ÊÑÄ´´ï¤Î¥Õ¥£¡¼¥É¥Ð¥Ã¥¯·ÐÏ©¤Ç¡¢ÆâÉôADCÎ̻Ҳ½¥Î¥¤¥º¤òÊ£ÁÇŪ¤Ë·ë¹ç¤µ¤»¡¢ºÆ¤ÓADC²óÏ©¤ØÃíÆþ¤¹¤ë¤³¤È¤Ç¡¢¥ª¥Ú¥¢¥ó¥×²óÏ©¤òÄɲ令º¡¢ÊÑÄ´´ï¤Î¼¡¿ô¤ÎÁý²Ã¤ò¼Â¸½¤Ç¤­¤ë¡£¼õư²óÏ©¤À¤±¤ÇÊ£ÁǥΥ¤¥º·ë¹ç²óÏ©¤ò¹½À®¤·¡¢¸úΨŪ¤Ë¹â¼¡¤Î¥Î¥¤¥º¡¦¥·¥§¡¼¥×µ¡Ç½¤ò¼Â¸½¤·¡¢Äã¾ÃÈñÅÅÎϤǤè¤ê¹âÀºÅÙ(SQNDR: Signal-to-Quantization-Noise and Distortion Ratio) ¤òãÀ®¤Ç¤­¤ë¡£MATLAB ¤Ë¤è¤ë¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤ÇÄ󰯼êË¡¤ÎÍ­¸úÀ­¤ò³Îǧ¤·¤¿¡£

Âê̾¾éĹÀ­¤ò¤â¤ÄÃà¼¡Èæ³Ó¶á»÷ADÊÑ´¹¥¢¥ë¥´¥ê¥º¥à¡¡- £³¸Ä¤ÎÈæ³Ó´ï¤Î¾ì¹ç -
Ãø¼Ô *¾®Àî ÃÒɧ, ¾®ÎÓ ½ÕÉ×, ¹â¶¶ Íβð, »± Úß(·²ÇÏÂç³ØÂç³Ø±¡ ¹©³Ø·Ï¸¦µæ²Ê Åŵ¤ÅŻҹ©³ØÀì¹¶), ËÙÅÄ ÀµÀ¸(É𢹩¶ÈÂç³Ø Ãμ±¹©³ØÉô¾ðÊó¥Í¥Ã¥È¥ï¡¼¥¯¹©³Ø²Ê)
Pagepp. 81 - 86
Keyword Ãà¼¡Èæ³Ó¶á»÷ADC, ¥Ç¥¸¥¿¥ë¸íº¹ÊäÀµ, ¾éĹÀ­, ÉÔ´°Á´À°Äê
Abstract¤³¤ÎÏÀʸ¤Ç¤ÏÃà¼¡Èæ³Ó¶á»÷£Á£ÄÊÑ´¹´ï¤Ç¹â¿®ÍêÀ­¤ò¼Â¸½¤¹¤ë¤¿¤á¤Ë, ¥³¥ó¥Ñ¥ì¡¼¥¿¤Ç¤ÎȽÄê¸í¤ê¤¬À¸¤¸¤Æ¤â¸åÃʤǥǥ¸¥¿¥ë¸íº¹ÊäÀµ¤¬²Äǽ¤Ê, ¾éĹÀ­¤ò¤â¤Ã¤¿¥¢¥ë¥´¥ê¥º¥à¤ÎÀß·×Ë¡¤ò½Ò¤Ù¤ë. ¤Þ¤¿¾éĹ¥¢¥ë¥´¥ê¥º¥à¤Ç¤Î¥Ç¥¸¥¿¥ë¸íº¹ÊäÀµ¤¬²Äǽ¤ÊÈϰÏÅù¤ÎÀ­¼Á¤òÌÀ¤é¤«¤Ë¤¹¤ë. ¤³¤³¤Çµ­½Ò¤¹¤ë¾éĹÀ­¤ò¤â¤Ã¤¿¥¢¥ë¥´¥ê¥º¥à¤ÏÀè¤Ë¤ï¤ì¤ï¤ì¤¬Ä󰯤·¤¿¥³¥ó¥Ñ¥ì¡¼¥¿3¸Ä¤òÍѤ¤¤¿Ãà¼¡Èæ³Ó£Á£ÄÊÑ´¹¥¢¥ë¥´¥ê¥º¥à¤ò°ìÈ̲½¤·¤¿¤â¤Î¤Ç¤¢¤ë.


¥»¥Ã¥·¥ç¥ó Ba1-2 ADC II
Æü»þ: 2008ǯ4·î21Æü(·î) 10:30-11:45
ºÂĹ: ËÙÅÄ ÀµÀ¸ (É𢹩¶ÈÂç³Ø)

Âê̾An Algorithmic Stage Based on the Novel Capacitor Mismatch Calibration Technique
Ãø¼Ô *Shuaiqi Wang(Graduate School of Information, Production, and Systems, Waseda University), Fule Li(Institute of Microelectronics, Tsinghua University), Yasuaki Inoue(Graduate School of Information, Production, and Systems, Waseda University)
Pagepp. 87 - 90
Keyword A/D conversion, pipelined, capacitor mismatch calibration, low power dissipation
Abstract This paper proposes an algorithmic stage based on the novel capacitor mismatch calibration technique. The conventional stage is improved to this algorithmic circuit involving charge summing, capacitors¡Ç exchange and charge redistribution, simply through introducing some extra switches into the analog circuit. Employing this algorithmic stage, one 12-bit pipelined ADC obtains the linearity beyond the accuracy of the capacitor match and verifies the validity of reducing the nonlinear error from the capacitor mismatch without additional power dissipation and chip size through the novel capacitor mismatch calibration technique. It is processed in 0.5um CMOS technology. Simulation results show that 72.6dB SNDR, 78.5dB SFDR are obtained for a 2V Vpp 159.144kHz sine input sampled at 3.7MS/s. The whole power dissipation of the 12-bit ADC is 33.4mW at the power supply of 5V.

Âê̾¿·µ¬¥«¥¹¥±¡¼¥É·¿ÈóÀþ·ÁLMS¥¢¥ë¥´¥ê¥º¥à¤òÍѤ¤¤¿¥Õ¥©¥¢¥°¥é¥ó¥É¥­¥ã¥ê¥Ö¥ì¡¼¥·¥ç¥óA/DÊÑ´¹´ï
Ãø¼Ô *¹â¶¶ ͧÈþ, ÂçÅç ½Ó, »³ÏÆ Âç¤(ÆüΩÀ½ºî½êÃæ±û¸¦µæ½ê)
Pagepp. 91 - 96
Keyword ADC, ¥Õ¥©¥¢¥°¥é¥ó¥É¥­¥ã¥ê¥Ö¥ì¡¼¥·¥ç¥ó, LMS
Abstract1Gbps°Ê¾å¤Î¹â¥Ç¡¼¥¿¥ì¡¼¥È¤¬Í׵ᤵ¤ì¤ë¼¡À¤Âå̵Àþ¥¢¥×¥ê¥±¡¼¥·¥ç¥ó¤Ç¤Ï¡¢¿ô100MS/s°Ê¾å¤Î¹â¥µ¥ó¥×¥ë¥ì¡¼¥È¤ÈÍ­¸úʬ²òǽ¡ÊENOB¡Ë10b°Ê¾å¤Î¹âʬ²òǽ¤òÄã¾ÃÈñÅÅÎÏ¤ÇÆ±»þ¤Ë¼Â¸½¤¹¤ëADC¤¬µá¤á¤é¤ì¤ë¡£¤½¤Î¤¿¤á¤ËÉԲķç¤Ê¥¢¥×¥í¡¼¥Á¤È¤·¤Æ¡¢¥Ç¥¸¥¿¥ë¥­¥ã¥ê¥Ö¥ì¡¼¥·¥ç¥óÊý¼°¤¬ÃíÌܤò½¸¤á¤Æ¤¤¤ë¡£º£²ó¡¢ÌµÀþÁ÷¼õ¿®µ¡¤ÎRF-IC¤Ø¤ÎÅëºÜ¤ËŬ¤·¤¿¥Õ¥©¥¢¥°¥é¥ó¥É¥­¥ã¥ê¥Ö¥ì¡¼¥·¥ç¥ó·¿¹â¥µ¥ó¥×¥ë¥ì¡¼¥È¹âʬ²òǽADC¤òÄ󰯤·¡¢¥Þ¥¯¥í¥Ù¡¼¥¹¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤ê¡¢¹âÀºÅÙ¤«¤Ä¼ý«ǽÎϤι⤤¿·µ¬¥­¥ã¥ê¥Ö¥ì¡¼¥·¥ç¥ó¥¢¥ë¥´¥ê¥º¥à¤ò¼Â¾Ú¤Ç¤­¤¿¤Î¤Ç¡¢Êó¹ð¤¹¤ë¡£

Âê̾¥¤¥ó¥¿¡¼¥ê¡¼¥ÖADC¤Ç¤Î¥Á¥ã¥Í¥ë´ÖÀþ·ÁÀ­¥ß¥¹¥Þ¥Ã¥Á±Æ¶Á½üµî¥¢¥ë¥´¥ê¥º¥à
Ãø¼Ô Àõ¸« ¹¬»Ê (¡Ê³ô¡Ë¥¢¥É¥Ð¥ó¥Æ¥¹¥È Â裱¥Æ¥¹¥È¥·¥¹¥Æ¥à»ö¶ÈËÜÉô), µÜÅç ¹­¹Ô, *ÎëÌÚ ¹§½¨, Åıº ůÌé, ¾®ÎÓ ½ÕÉ×(·²ÇÏÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²ÊÅŵ¤ÅŻҹ©³ØÀì¹¶)
Pagepp. 97 - 102
Keyword ¥¤¥ó¥¿¡¼¥ê¡¼¥Ö, ADC, Àþ·ÁÀ­, ¥ß¥¹¥Þ¥Ã¥Á, ¥Ç¥¸¥¿¥ë¸íº¹ÊäÀµ
Abstract¥¤¥ó¥¿¡¼¥ê¡¼¥ÖADC¥·¥¹¥Æ¥à¤ÏÈæ³ÓŪÃÙ¤¤²óÏ©¤òÍѤ¤¤Æ¹â®ADC¤ò¼Â¸½¤¹¤ë¸ú²ÌŪ¤ÊÊý¼°¤Ç¤¢¤ë. ¤³¤Î¥·¥¹¥Æ¥à¤Ç¤ÏÊ£¿ôM¥Á¥ã¥Í¥ëADC¤¬¥¤¥ó¥¿¡¼¥ê¡¼¥Ö¤·¤ÆÆ°ºî¤·, Á´ÂΤȤ·¤Æ³Æ¥Á¥ã¥Í¥ëADC¤ÎMÇܤΥµ¥ó¥×¥ê¥ó¥°Â®ÅÙ¤ÎADC¤È¤·¤ÆÆ°ºî¤¹¤ë. ¤·¤«¤·¥Á¥ã¥Í¥ëADC´Ö¤ÎÆÃÀ­¥ß¥¹¥Þ¥Ã¥Á¤¬¥¤¥ó¥¿¡¼¥ê¡¼¥ÖADC¥·¥¹¥Æ¥àÁ´ÂΤȤ·¤Æ¤ÎSNDR, SFDR¤òÄã²¼¤µ¤»¤ë.¥ª¥Õ¥»¥Ã¥È, ¥²¥¤¥ó, ÂÓ°è¤Î¥ß¥¹¥Þ¥Ã¥Á¤Î±Æ¶Á¤ä, ³Æ¥Á¥ã¥Í¥ë¤Ë¶¡µë¤µ¤ì¤ë¥¯¥í¥Ã¥¯¤Î¥¿¥¤¥ß¥ó¥°¥¹¥­¥å¡¼¤Î±Æ¶Á¤Ï¤³¤ì¤Þ¤Ç¤Ë¤â²òÀϤµ¤ì¤Æ¤­¤Æ¤ª¤ê, ¤½¤ÎÊäÀµË¡¤âÄó°Æ¡¦¼Â¸½¤µ¤ì¤Æ¤­¤¿. ¤³¤ÎÏÀʸ¤Ç¤Ï¥Á¥ã¥Í¥ë´Ö¤ÎÀþ·ÁÀ­¥ß¥¹¥Þ¥Ã¥Á¤Î±Æ¶Á¤Î¥Ç¥¸¥¿¥ëÊäÀµ¥¢¥ë¥´¥ê¥º¥à¤òÄ󰯤¹¤ë. ¤³¤ÎÌäÂê¤Ï¼ÂÍѾå½ÅÍפǤ¢¤ë¤Ë¤â¤«¤«¤ï¤é¤º, ÌäÂ꤬º¤Æñ¤Ç¤¢¤ë¤¿¤á¤³¤ì¤Þ¤ÇȯɽÎã¤Ï¤Ê¤¤.


¥»¥Ã¥·¥ç¥ó Ba1-3 ¥ß¥êÇȵ»½Ñ¤Îư¸þ¤Èº£¸å¤ÎŸ˾I
Æü»þ: 2008ǯ4·î21Æü(·î) 13:30-14:30
ºÂĹ: ¼Æ³À ¿®É§ (ÆüΩÀ½ºî½ê)

Âê̾(¾·ÂÔ)¥ß¥êÇÈCMOS²óÏ©
Ãø¼Ô *Æ£Åç ¼Â(ÅìµþÂç³Ø)
Pagepp. 103 - 108
Keyword CMOS, ¥ß¥êÇÈ, ITRS, ¹â®̵Àþ, RF
Abstract¤³¤³2,3 ǯ¤ÇµÞ®¤Ë¥ß¥êÇȤòÍѤ¤¤¿¥í¡¼¥³¥¹¥È¡¦¥í¡¼¥Ñ¥ï¡¼¤Î ̵ÀþÄÌ¿®µ»½Ñ³«È¯¤¬À¤³¦Ãæ¤Ç¿Ê¤á¤é¤ì¤ë¤è¤¦¤Ë¤Ê¤Ã¤Æ¤­¤Æ¤¤¤ë¡£¸Å¤¯¤«¤é¸¦µæ¤µ¤ì¤Ê¤¬¤é¤âȾƳÂΤβ¦Æ»¤òÊâ¤à¤³¤È¤Î¤Ê¤«¤Ã¤¿¥ß¥êÇȤ¬ºÇ¶áµÞ¤ËÃíÌܤò½¸¤á¤ë¤è¤¦¤Ë¤Ê¤Ã¤¿ÇطʤȤϲ¿¤«¡¢¤³¤ì ¤«¤é¥ß¥êÇȥǥХ¤¥¹¤Ï¤É¤³¤Ë¸þ¤«¤ª¤¦¤È¤·¤Æ¤¤¤ë¤Î¤«¹Í¤¨¤ë¡£


¥»¥Ã¥·¥ç¥ó Ba1-4 ¥ß¥êÇȵ»½Ñ¤Îư¸þ¤Èº£¸å¤ÎŸ˾II
Æü»þ: 2008ǯ4·î21Æü(·î) 15:00-17:00
ºÂĹ: ¼Æ³À ¿®É§ (ÆüΩÀ½ºî½ê)

Âê̾(¾·ÂÔ)CMOS¤òÍѤ¤¤¿¥ß¥êÇȽ¸ÀѲóÏ©
Ãø¼Ô *À¥¸Í °ìϺ(Åì¼Ç), »°Í§ÉÒÌé, À±ÌîÍξ¼, ¾®Ìîľ»Ò, µÈ¸¶µÁ¾¼, Äéͳ²Â»Ò(³ô¼°²ñ¼Ò Åì¼Ç ¸¦µæ³«È¯¥»¥ó¥¿¡¼), Æ£ËÜε°ì(³ô¼°²ñ¼Ò Åì¼Ç ¥»¥ß¥³¥ó¥À¥¯¥¿¡¼¼Ò)
Pagepp. 109 - 114
Keyword Millimeter-wave, CMOS, RFIC, WPAN
AbstractThis paper shows integrated circuits and antennas we have fabricated in a 90 nm CMOS process for wireless personal area network (WPAN) on 60 GHz band. Measured and simulated results indicate possibilities of realization of all-in-one transceivers including antennas on millimeter-wave (MMW) band.

Âê̾(¾·ÂÔ)ËÌÂç¤Ë¤ª¤±¤ë¥ß¥êÇÈIC¤Î¸¦µæ¾õ¶·
Ãø¼Ô *º´Ìî ±É°ì(Ë̳¤Æ»Âç³Ø)
Pagepp. 115 - 119
Keyword RF²óÏ©, ¥ß¥êÇÈÄÌ¿®, InP, CMOS
AbstractºÇ½é¤Ë¡¢¥ß¥êÇÈÄÌ¿®¥·¥¹¥Æ¥à¤Î²ÝÂê¤òÀ°Íý¤·¡¢²½¹çʪȾƳÂÎInP¤ÈCMOS¤òÂÐÈæ¤·¤Æ¥ß¥êÇÈÄÌ¿®ÍÑMMIC¤Îư¸þ¤ò³µ´Ñ¤¹¤ë¡£¼¡¤Ë¡¢Ë̳¤Æ»Âç³Ø¤Ë¤ª¤±¤ëInP¤òÃæ¿´¤È¤·¤¿¥ß¥êÇÈMMIC¤Î¸¦µæ¾õ¶·¤ò¾Ò²ð¤¹¤ë¡£


¥»¥Ã¥·¥ç¥ó Bd1-1 ư²èÁüÉ乿²½I
Æü»þ: 2008ǯ4·î21Æü(·î) 9:00-10:15
ºÂĹ: É︶ ¹±Ê¿ (NEC ¥á¥Ç¥£¥¢¾ðÊ󸦵æ½ê)

Âê̾A Novel Fast Block Type Decision Algorithm for Intra Prediction in H.264/AVC High Profile
Ãø¼Ô *Tianruo Zhang, Guifen Tian, Takeshi Ikenaga, Satoshi Goto(Waseda University)
Pagepp. 121 - 125
Keyword H.264/AVC, Intra prediction, Block type decision, Computation complexity reduction
AbstractThe latest video coding standard H.264/AVC significantly increases video compression efficiency but also increases computation complexity. Intra prediction is an important part in H.264/AVC encoder and it¡Çs time consuming. This paper proposes a fast block type decision algorithm which can reduce intra prediction¡Çs computation complexity with slight PSNR reduction. The relation between intra prediction block type and macrblocks¡Ç frequency feature has been discussed. Based on these observations, this algorithm can select only one or two block type in 4x4, 8x8 and 16x16 intra prediction instead of three of them. Experimental results show that this algorithm is more suitable to perform on large frame size sequences.

Âê̾Rate Estimation in RDO of H.264/AVC
Ãø¼Ô *Yan Zhuang, Takeshi Ikenaga, Satoshi Goto(Waseda University)
Pagepp. 127 - 130
Keyword RDO, rate estimation, linear programming
Abstract¡¡H.264 is the latest international video coding standard. It contains a number of new features which make it compress video sequences much more effectively than previous standards. But the H.264 standard also brings much more computations, especially when the rate-distortion optimization function is on. In order to reduce the complexity of rate-distortion cost of the rate computation part, many methods have been proposed to avoid doing the real entropy coding, but basically, these methods are just proposed based on the notification of the CAVLC tables and lack of mathematical proves. In this paper, we will introduce a method which uses linear programming method to estimate the rate in the RDO process. The final result shows that the proposed estimation method achieve better performance and can reduce the encoding computation by 50% with ignorable degradation of coding performance.

Âê̾H.264/SVC¤Ë¤ª¤±¤ëŬ±þŪGOP¥µ¥¤¥º¤òÍѤ¤¤¿É乿²½¸úΨ²þÁ±¼êË¡¤Î¸¡Æ¤
Ãø¼Ô *¾¾²¬ ¿¿Ê¿, ¿¹¾å µÁ¿ò(ÆÁÅçÂç³ØÂç³Ø±¡Àèüµ»½Ñ²Ê³Ø¶µ°éÉô¥·¥¹¥Æ¥àÁÏÀ¸¹©³ØÀì¹¶), Á× Å·, ÅçËÜ Î´(ÆÁÅçÂç³ØÂç³Ø±¡¥½¥·¥ª¥Æ¥¯¥Î¥µ¥¤¥¨¥ó¥¹¸¦µæÉô¾ðÊó¥½¥ê¥å¡¼¥·¥ç¥óÉôÌç)
Pagepp. 131 - 136
Keyword H.264/MPEG4-SVC, GOP, ³¬ÁØB¥Ô¥¯¥Á¥ã
AbstractH.264/MPEG4-AVC¤Î¥¹¥±¡¼¥é¥Ó¥ê¥Æ¥£¤ò¼Â¸½¤¹¤ë¤¿¤á¤Î³ÈÄ¥¤¬H.264/MPEG4-SVC¡ÊScalable Video Coding¡Ë¤È¤·¤ÆITU-T¤ÎVCEG¡ÊVideo Coding Experts Group¡Ë¤ÈISO/IEC¤ÎMPEG¡ÊMotion Picture Experts Group¡Ë¤¬¹çƱ¤Çɸ½à²½¤Ë¸þ¤±¤Æ»ÅÍͤζ¨µÄ¤ò³¤±¤Æ¤¤¤ë¡¥SVC¤Ç¤Ï¡¤»þ´Ö¡¤¶õ´Ö¡¤ÉʼÁ¤Î¥¹¥±¡¼¥é¥Ó¥ê¥Æ¥£¤ò1¤Ä¤Î¥Ó¥Ã¥È¥¹¥È¥ê¡¼¥à¤ÇÄ󶡤¹¤ë¤³¤È¤òÌÜɸ¤È¤·¤Æ¤¤¤ë¤¬¡¤ËܹƤǤϡ¤»þ´Ö¥¹¥±¡¼¥é¥Ó¥ê¥Æ¥£¤ò¼Â¸½¤¹¤ë³¬ÁØB¥Ô¥¯¥Á¥ã¤ËÃåÌܤ¹¤ë¡¥ËܹƤǤϡ¤¤Þ¤ºÆþÎÏ¥·¡¼¥±¥ó¥¹¤Îư¤­¤Î·ã¤·¤µ¤Ë¤è¤Ã¤ÆÉ乿²½¸úΨ¤ÎÎɤ¤GOP¥µ¥¤¥º¤¬°Û¤Ê¤ë¤³¤È¤ò¼¨¤·¡¤²è¼Á¤ò¸þ¾å¤µ¤»¤ë¤¿¤á¤ËŬ±þŪ¤ËGOP¥µ¥¤¥º¤òÊѲ½¤µ¤»¤ë¼êË¡¤òÄ󰯤¹¤ë¡¥¤Þ¤¿¡¤¥·¡¼¥ó¥Á¥§¥ó¥¸¤Ë¤ª¤±¤ëÉ乿²½¸úΨ¤Î»¼º¤Ë¤Ä¤¤¤Æ¤âÂбþºö¤ò¸¡Æ¤¤¹¤ë¡¥ºÇ¸å¤Ë¡¤Ä󰯼êË¡¤òɾ²Á¤·¡¤Ä󰯼êË¡¤Ë¤è¤ëÉ乿²½¸úΨ¤Î²þÁ±·ë²Ì¤ò¼¨¤¹¡¥


¥»¥Ã¥·¥ç¥ó Bd1-2 ´ðÁᦲ»À¼½èÍý
Æü»þ: 2008ǯ4·î21Æü(·î) 10:35-12:15
ºÂĹ: Åï°Â ¼Â¼£ (´ØÀ¾Âç³Ø)

Âê̾Theory of the Optimum Approximation of FIR Filter Banks Minimizing Various Worst-Case Measures of Error
Ãø¼Ô *Yuichi Kida(School of Pharmaceutical Sciences, Ohu University), Takuro Kida(Dept. of Electrical and Electronics Engineering, Nihon University)
Pagepp. 137 - 142
Keyword the optimum approximation, filter bank, interpolation approximation
AbstractWe present running-type continuous or discrete approximation of FIR filter bank that minimizes various worst-case measures of error, including long-range worst-case measures of error. We consider a set of signals having Fourier spectrums expressed by Fourier series with many but finite terms. We prove that there exists one-to-one correspondence between error in wide time interval and error in a small segment and proposed approximation realizes the optimum interpolation approximation. We show that there exists a supreme signal and set of discrete error is contained in set of signals using a Mini-Max theorem.

Âê̾½Å¤ßÉÕ¤­½¤ÀµºÇ¾®2¾èË¡¤òÍѤ¤¤¿Í­¸Â¸ìĹ¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿¤ÎÀß·×
Ãø¼Ô *ÃæËÜ ¾»Í³, ÁáÀî ͵µ®, ¼ÖÃÏ Ë­, ¿÷¸µ ¹§É×(¹­ÅçÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê)
Pagepp. 143 - 146
Keyword ¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿, ½Å¤ßÉÕ¤­½¤ÀµºÇ¾®2¾èË¡, Í­¸Â¸ìĹ, Lagrange¤Î̤Äê¾è¿ôË¡, ʬ»Þ¸ÂÄêË¡
AbstractËÜÏÀʸ¤Ç¤Ï¡¤¼þÇÈ¿ôÎΰè¤Ë¤ª¤±¤ë½Å¤ßÉÕ¤­½¤ÀµºÇ¾®2¾èË¡¤òÍѤ¤¤Æ¡¤Í¿¤¨¤é¤ì¤¿¼þÇÈ¿ôÆÃÀ­¤ò¶á»÷¤¹¤ë¤è¤¦¤Ë¥Õ¥£¥ë¥¿·¸¿ô¤òÍ­¸Â¸ìŤÇÀ߷פ¹¤ëÊýË¡¤ò¼¨¤¹¡¥½¤ÀµºÇ¾®2¾èË¡¤òÍѤ¤¤ì¤Ð¡¤Àß·×ÌäÂê¤Ï2¼¡·Á¼°¤È¤Ê¤ë¡¥2¼¡·Á¼°¤Î¹ÔÎ󤬵á¤Þ¤ì¤Ð¡¤Ê¬»Þ¸ÂÄêË¡¤Ë¤è¤ëÎ¥»¶ºÇŬ²½¤¹¤ë¤³¤È¤Ë¤è¤Ã¤ÆÎ¥»¶¶õ´Ö¤Ë¤ª¤±¤ë¥Õ¥£¥ë¥¿·¸¿ô¤¬À߷פǤ­¤ë¡¥Ê¬»Þ¸ÂÄêË¡¤Ç¤Ï¡¤Lagrange¤Î̤Äê¾è¿ôË¡¤Ë¤è¤Ã¤Æ´Ëϲò¤ò·×»»¤·¡¤²¼³¦ÃÍɾ²Á¤Ë¤è¤Ã¤ÆÎɹ¥¤Ê²ò¤¬´Þ¤Þ¤ì¤ëÎΰè¤Î¤ß¤òõº÷¤¹¤ë¡¥ºÇŬ²½¤µ¤ì¤¿Ê¬Êì·¸¿ô¤Ï¡¤Ê¬Ê쿹༰¤Î¶Ë¤¬Ã±°Ì±ßÆâ¤Ë¤¢¤ë¤â¤Î¤Î¤ß¤¬ºÎÍѤµ¤ì¤Æ¤¤¤ë¤Î¤Ç¡¤¾ï¤Ë°ÂÄê¤Ê¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿¤¬ÆÀ¤é¤ì¤ë¡¥Ä󰯼êË¡¤ÎÍ­¸úÀ­¤Ï¡¤Í­¸Â¸ìĹ¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿¤ÎÀß·×Îã¤ò¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤¹¤ë¤³¤È¤Ë¤è¤Ã¤Æ³Îǧ¤·¤Æ¤¤¤ë¡¥

Âê̾A Distance-Based Howling Canceller with High Speech Quality
Ãø¼Ô *Akira Sogami, Arata Kawamura, Youji Iiguni(Osaka University)
Pagepp. 147 - 150
Keyword howling canceller, distance-based, adaptive elimination bandwidth, phase inversion signal
AbstractIn this paper, we propose a new pilot signal and an adaptive elimination bandwidth of a notch filter to solve two problems in a distance-based howling canceller that problems are a pilot signal transmiting noise and an output speech quality degradation. The new pilot signal whose phase changes in the middle of the transmission is robust for the noise and can reduce the impulsive noise caused in the pilot signal transmission. On the other hand, the proposed adaptive elimination bandwidth of the notch filter can save the main speech spectra while eliminating the howling candidates.

Âê̾Recursive Gauss-NewtonË¡¤òÍѤ¤¤¿LSP¤ÎŬ±þ¿äÄê
Ãø¼Ô ËÌ»³ ͺ»Ë, *Ãæ³À ½ß, ¼ÆÅÄ ¹§¼¡(Ë̸«¹©¶ÈÂç³Ø)
Pagepp. 151 - 154
Keyword LSP, ²»À¼Ê¬ÀÏ, Ŭ±þ½èÍý, Gauss-NewtonË¡
AbstractÀþ·Áͽ¬ʬÀϤ˴ð¤Å¤¯¥¹¥Ú¥¯¥È¥ëÊñÍí¤Î¸úΨŪ¤Ê ɽ¸½ÊýË¡¤È¤·¤ÆLSP¤¬¤¢¤ë¡¥ËܹƤǤϡ¤LSP¤ÎŬ±þ¿äÄê¤Ë ÈóÀþ·ÁºÇ¾®2¾èË¡¤Î°ì¤Ä¤Ç¤¢¤ëRecursive Gauss-NewtonË¡¤ò ŬÍѤ¹¤ë¡¥Recursive Gauss-NewtonË¡¤Ç¤Ï¡¤ ²»À¼¿®¹æ¤«¤éLSP¤òľÀÜ¿äÄꤹ¤ë¤³¤È¤¬¤Ç¤­¤ë¡¥ ¤·¤«¤·¡¤¶á»÷¤òÍѤ¤¤ÆÃ༡½èÍý¤ò¹Ô¤¦¤¿¤á¡¤ ²»À¼¿®¹æ¤ÎÆÃÀ­¤ÎÊѲ½¤ËÂФ¹¤ëÄɽ¾ÆÃÀ­¤¬½½Ê¬¤Ç¤Ï¤Ê¤¯¡¤ Á«°Ü¶è´Ö¤Ç¿äÄꤷ¤¿LSP¤Îµ°Àפ¬¸òº¹¤¹¤ëÌäÂ꤬¸«¤é¤ì¤ë¡¥ ËܹƤǤϡ¤LSP¤ÎÀ­¼Á¤òÍøÍѤ·¤ÆRecursive Gauss-NewtonË¡¤ò ²þÎɤ·¡¤Äɽ¾ÆÃÀ­¤Î²þÁ±¤ò¤Ï¤«¤ë¡¥


¥»¥Ã¥·¥ç¥ó Bd1-3 ÆÃÊÌ¥»¥Ã¥·¥ç¥óI
Æü»þ: 2008ǯ4·î21Æü(·î) 13:30-15:10
ºÂĹ: ³°Â¼ ´î½¨ (NTT̤Íè¤Í¤Ã¤È¸¦µæ½ê)

Âê̾(¾·ÂÔ)¥»¥ó¥·¥ó¥°¤ÈÉ乿²½¤Î¾ðÊóÅý·×ÎϳØ
Ãø¼Ô *¼»³ Ω¿Í, Peter Davis(NTT¥³¥ß¥å¥Ë¥±¡¼¥·¥ç¥ó²Ê³Ø´ðÁø¦µæ½ê)
Pagepp. 155 - 160
Keyword ¥»¥ó¥µ¡¼, É乿²½, ¾ðÊóÍýÏÀ, Åý·×ÎϳØ
Abstract¸½ºß¡¤È¾Æ³Âε»½Ñ¤Î³×¿·¤Ë¤è¤ë̵Àþ¥»¥ó¥µ¡¼Ã¼Ëö¤Î·àŪ¤ÊÄã²Á³Ê²½¤È¡¤¤½¤ì¤Ëµ¯°ø¤¹¤ë¥»¥ó¥µ¡¼¥Í¥Ã¥È¥ï¡¼¥¯¤Î¹­°è²½¡¦¹âÌ©ÅÙ²½¤Î¿ÊŸ¤¬´üÂÔ¤µ¤ì¤Æ¤¤¤ë¡¥¤¹¤ë¤È¡¤µðÂç¤Ê¥Í¥Ã¥È¥ï¡¼¥¯¥·¥¹¥Æ¥à¤Çŷʸ³ØÅªÊ¬Î̤Υ»¥ó¥µ¡¼¾ðÊ󤬤ä¤ê¤È¤ê¤µ¤ì¤ë¤³¤È¤¬¾ïÂÖ²½¤·¡¤½¾Íè·¿¤Î¾ðÊóÅý¹ç¤ÎÏÈÁȤ¬ÇËþ¤¹¤ë²ÄǽÀ­¤¬¹â¤¤¡¥¤½¤³¤Ç¡¤ÉԲĵեǡ¼¥¿°µ½Ì¤ÎÀèüµ»½Ñ¤ò¶î»È¤¹¤ë¤³¤È¤Ë¤è¤Ã¤Æ¡¤¥»¥ó¥µ¡¼¿ô¤¬ÈôÌöŪ¤ËÁý²Ã¤·¤Æ¤â¥·¥¹¥Æ¥à¤¬½èÍý¤¹¤ë¥»¥ó¥µ¡¼¾ðÊó¤Î¹ç·×Î̤¬°ìÄê¤Ë¤Ê¤ëÏÈÁȤòÄ󰯤·¤Æ¤¤¤ë¡¥¤³¤Î¤È¤­¡¤·×¬¤Ë¤ª¤±¤ë¥Î¥¤¥º¥ì¥Ù¥ë¤È¥Í¥Ã¥È¥ï¡¼¥¯¤¬µöÍÆ¤¹¤ë¹ç·×ÄÌ¿®ÍÆÎ̤ËÂбþ¤·¤Æ¡¤¥»¥ó¥µ¡¼¥Í¥Ã¥È¥ï¡¼¥¯¤Ë¤ÏºÇŬ¤Ê¥·¥¹¥Æ¥à¥µ¥¤¥º¤¬Â¸ºß¤¹¤ë¤³¤È¤¬¿ô³ØÅª¤Ë¾ÚÌÀ¤µ¤ì¤¿¡¥

Âê̾¹â¸úΨMessage-Passing¥¹¥±¥¸¥å¡¼¥ë¤òÍѤ¤¤¿¥¤¥ì¥®¥å¥é¡¼LDPCÉü¹æ´ï¤Î¹â®¥Þ¥ë¥Á¥ì¡¼¥ÈÀß·×
Ãø¼Ô °¤Éô ͵ÂÀ, *Åâ ʸÌÀ, Íû À±, À¶¿å°ìÈÏ, ÃÓ±Ê ¹ä, ¸åÆ£ ÉÒ(Áá°ðÅÄÂç³ØÂç³Ø±¡¾ðÊóÀ¸»º¥·¥¹¥Æ¥à¸¦µæ²Ê)
Pagepp. 161 - 166
Keyword ldpc, ¥Þ¥ë¥Á¥ì¡¼¥È
AbstractËܹƤǤϡ¢¹â¸úΨMessage-Passing¥¹¥±¥¸¥å¡¼¥ë¤òÍѤ¤¤¿¥¤¥ì¥®¥å¥é¡¼LDPCÉü¹æ´ï¤Î¹â®²½¡¦¥Þ¥ë¥Á¥ì¡¼¥È²½¤ò¹Ô¤¦¡£ ¹â¸úΨMessage-Passing¥¹¥±¥¸¥å¡¼¥ë¤òÍѤ¤¤¿¥¤¥ì¥®¥å¥é¡¼LDPCÉü¹æ´ï¤Ë¤Ä¤¤¤Æ¤ÏIEEE802.11n¤ÇÄ󾧤µ¤ì¤Æ¤¤¤ë¸¡ºº¹ÔÎó¤òÍѤ¤¤¿Éü¹æ´ï¤¬Êó¹ð¤µ¤ì¤Æ¤¤¤ë¤¬¡¢ËܹƤǤϡ¢ÌÌÀÑÁý²Ã¤òÍÞ¤¨¤Ä¤Ä´û¸¤ÎLDPCÉü¹æ´ï¤ò¹â®²½¤¹¤ë¼êË¡¤Ë¤Ä¤¤¤ÆÄ󰯤·¡¢¹â®²½¼êË¡¤òÍѤ¤¤¿¥Þ¥ë¥Á¥ì¡¼¥ÈÉü¹æ´ï¤ò¼Â¸½¤¹¤ë¼êË¡¤ò¼¨¤¹¡£

Âê̾¶è´Ö·×»»¤òÍѤ¤¤¿º®¹ç¥¬¥¦¥¹Ê¬ÉÛ¥â¥Ç¥ëȽÊÌ´ï¤ÎLSI¥¢¡¼¥­¥Æ¥¯¥Á¥ã
Ãø¼Ô *ÉðÅÄ ÎµÇ·²ð, ¼¾¾ Àµ¸ã, ¹â¶¶ Í´°ìϺ, ÅÏÊÕ ½¨Åµ, µÆÃÓ µ×ÏÂ(¿·³ãÂç³Ø ¹©³ØÉô Åŵ¤ÅŻҹ©³Ø²Ê)
Pagepp. 167 - 170
Keyword ¥Ñ¥¿¡¼¥ó¼±ÊÌ, ¥Ù¥¤¥º·èÄê, º®¹ç¥¬¥¦¥¹Ê¬ÉÛ¥â¥Ç¥ë, »Ø¿ô´Ø¿ô, FPGA
AbstractËܸ¦µæ¤Ç¤Ï¶è´Ö·×»»¤òÍѤ¤¤Æº®¹ç¥¬¥¦¥¹Ê¬ÉÛ¥â¥Ç¥ë¤Ë´ð¤Å¤¯È½Ê̤ò¸ú²ÌŪ¤Ë¼ÂÁõ¤¹¤ëLSI¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤Ë¤Ä¤¤¤ÆÄ󰯤¹¤ë¡¥º®¹ç¥¬¥¦¥¹Ê¬ÉÛ¥â¥Ç¥ë¤òÍѤ¤¤¿Åý·×Ū¥Ñ¥¿¡¼¥ó¼±ÊÌË¡¤Ï¹­¤¯ÍøÍѤǤ­¤ë°ìÊý¡¤»Ø¿ô´Ø¿ô¤Ëµ¯°ø¤¹¤ëÊ£»¨¤Ê±é»»¤¬É¬ÍפȤʤ롥¤½¤³¤ÇÉ®¼Ô¤é¤Ï»Ø¿ô´Ø¿ô¤ÎÈæ³Ó±é»»¤ò´ÊÊØ¤Ê¶è´Ö·×»»¤Øµ¢Ã夵¤»¤ë¼êË¡¤òÀè¤ËÄ󰯤·¤¿¡¥ËܼêË¡¤Ï»Ø¿ô±é»»¤òÄê¿ô¾è»»¡¤2¤Î¤Ù¤­¾èÇܽèÍý¡¤²Ã¸º»»¤Ë´¹¤¨¤Æ¼Â¸½¤·¡¤Âç¾®¤¬ÌÀ¤é¤«¤Ê¾ì¹ç¤Î±é»»Î̤òºï¸º¤¹¤ë¡¥Âç¾®¤¬ÉÔÌÀ¤Ç¤¢¤ì¤ÐÃʳ¬Åª¤Ë±é»»ÀºÅÙ¤òÀöÎý²½¤¹¤ëÊýË¡¤âÄ󰯤·¤Æ¤¤¤ë¡¥ËÜÊó¹ð¤Ç¤Ï¤³¤ÎȽÊÌ¥¢¥ë¥´¥ê¥º¥à¤ò¼ÂÁõ¤¹¤ëLSI ¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤òÄ󰯤·¡¤À­Ç½É¾²Á¤òÄ̤¸¤ÆÄó°ÆË¡¤ÎÍ­¸úÀ­¤ò³Îǧ¤¹¤ë¡¥


¥»¥Ã¥·¥ç¥ó Bd1-4 ÆÃÊÌ¥»¥Ã¥·¥ç¥óII
Æü»þ: 2008ǯ4·î21Æü(·î) 15:30-17:10
ºÂĹ: µ×ÊÝÅÄ ¾´ (Åìµþ¹©¶ÈÂç³ØÂç³Ø±¡¡¡Áí¹çÍý¹©³Ø¸¦µæ²Ê¡¡ÊªÍý¾ðÊó¥·¥¹¥Æ¥àÀì¹¶)

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Ãø¼Ô *ÉÍËÜ Î´Ç·(ÅìµþÍý²ÊÂç³Ø)
Pagepp. 171 - 176
Keyword ¹âµ¡Ç½¥¤¥á¡¼¥¸¥»¥ó¥µ, ¹­¥À¥¤¥Ê¥ß¥Ã¥¯¥ì¥ó¥¸, ư¤­¸¡½Ð, ¿´ã½èÍý
Abstract¶áǯ¡¢¥¤¥á¡¼¥¸¥»¥ó¥µ¤Î¹âµ¡Ç½²½¤Î¸¡Æ¤¤¬À¹¤ó¤Ë¹Ô¤ï¤ì¤Æ¤¤¤ë¡£ËܹƤǤϡ¢¹âµ¡Ç½¥¤¥á¡¼¥¸¥»¥ó¥µ¤Î¸¦µæÆ°¸þ¤Ë¤Ä¤¤¤Æ³µÀ⤷¤¿¸å¡¢É®¼Ô¤é¤¬¸¡Æ¤¤·¤Æ¤¤¤ë¤¤¤¯¤Ä¤«¤Î¥¤¥á¡¼¥¸¥»¥ó¥µ¤Ë¤Ä¤¤¤Æ¾Ò²ð¤¹¤ë¡£

Âê̾°ÌÁê¸ÂÄêÁê´ØË¡¤òÍѤ¤¤¿¾¸ÌæÇ§¾Ú¥¢¥ë¥´¥ê¥º¥à¤È¤½¤Î¹âÀ­Ç½²½
Ãø¼Ô *°ËÆ£ ¹¯°ì, ÈÓÄÍ ÃÒ, ÀÄÌÚ ¹§Ê¸(ÅìËÌÂç³Ø), ÃæÅç ´², ¾®ÎÓ ¹§¼¡(³ô¼°²ñ¼Ò»³Éð), Èõ¸ý ζͺ(ÅìË̹©¶ÈÂç³Ø)
Pagepp. 177 - 182
Keyword ¾¸ÌæÇ§¾Ú, °ÌÁê¸ÂÄêÁê´ØË¡, ¥Ð¥¤¥ª¥á¥È¥ê¥¯¥¹
AbstractËÜÏÀʸ¤Ç¤Ï¡¤°ÌÁê¸ÂÄêÁê´ØË¡ (Phase-Only Correlation: POC) ¤òÍѤ¤¤¿¾¸ÌæÇ§¾Ú¥¢¥ë¥´¥ê¥º¥à¤È¤½¤Î¹âÀ­Ç½²½¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë¡¥¼ê¤Î¤Ò¤é¤Ï»£±Æ¤Î¤¿¤Ó¤Ë¼ê¤Î¤Ò¤é¤ä»Ø¤¬Æ°¤¯¤³¤È¤Ë¤è¤êÊÑ·Á¤¹¤ë¤¿¤á¡¤Àµ³Î¤Ëǧ¾Ú¤¹¤ë¤¿¤á¤Ë¤Ï¡¤¾¸Ìæ²èÁü´Ö¤Î¤Ò¤º¤ß¤ò¹Íθ¤·¤ÆÇ§¾Ú¤¹¤ëɬÍפ¬¤¢¤ë¡¥¤½¤³¤Ç¡¤POC ¤òÍѤ¤¤¿ÂбþÅÀõº÷¤Ë¤è¤ê²èÁü´Ö¤ÎÂбþÅÀ¤ò¸¡½Ð¤·¡¤ÂбþÅÀ¼þ¤ê¤Î¶É½ê¥Ö¥í¥Ã¥¯´Ö¤ÎÎà»÷ÅÙ¤òÄ´¤Ù¤ë¤³¤È¤Çǧ¾ÚÀ­Ç½¤ò¸þ¾å¤µ¤»¤ë¡¥¾¸Ìæ²èÁü¥Ç¡¼¥¿¥Ù¡¼¥¹¤òÍѤ¤¤¿À­Ç½É¾²Á¼Â¸³¤òÄ̤·¤Æ¡¤Äó°Æ¥¢¥ë¥´¥ê¥º¥à¤Ï¡¤ÆÃħÅÀ¤òÍѤ¤¤¿¥¢¥ë¥´¥ê¥º¥à¤ä½¾Íè¤ÎPOC¤òÍѤ¤¤¿¥¢¥ë¥´¥ê¥º¥à¤è¤ê¤â¹âÀ­Ç½¤Ç¤¢¤ë¤³¤È¤ò¼¨¤¹¡¥

Âê̾³ÈÄ¥TV¥Õ¥£¥ë¥¿¤Ë¤ª¤±¤ëº®¹ç»¨²»½Å¾ö²èÁü¤ÎÉü¸µË¡
Ãø¼Ô *»°±º æÆ, ÄÔ ÍµÇ·, ÌÚ¼ À¿Áï, ÆÁÁý âûÊ(¿ÀÆàÀ²ÊÂç³Ø ¾ðÊó³ØÉô ¾ðÊ󹩳زÊ)
Pagepp. 183 - 188
Keyword TV¥Õ¥£¥ë¥¿, º®¹ç»¨²», ²èÁüÉü¸µ, MAD
Abstract¥¬¥¦¥¹À­¤È¥¤¥ó¥Ñ¥ë¥¹À­¤Îº®¹ç»¨²»¤ËÂФ·¤ÆÅ¬ÍѲÄǽ¤Ê³ÈÄ¥TV¥Õ¥£¥ë¥¿¤Ï¡¤Ê¿³ê²½¤Î¥Ð¥é¥ó¥¹¤òÀ©¸æ¤¹¤ë¥Ñ¥é¥á¡¼¥¿¤ò²èÁüËè¤ËºÇŬ¤ÊÃͤËÄ´À°¤¹¤ëɬÍפ¬¤¢¤ê¡¤Ì¤ÃΤβèÁü¤ËÂФ¹¤ëÍ­¸úÀ­¤ËÌäÂ꤬¤¢¤Ã¤¿¡¥¤½¤³¤ÇËÜÏÀʸ¤Ç¤Ï¡¤º®¹ç»¨²»½Å¾ö²èÁü¤«¤éMAD¤òÍѤ¤¤Æ²èÁü¤Ë½Å¾ö¤·¤Æ¤¤¤ë»¨²»¤Î¾õ¶·¤òµá¤á¡¤¤½¤ì¤Ë¤è¤Ã¤Æ TV ¥Õ¥£¥ë¥¿¤ÇÍѤ¤¤ë¥Ñ¥é¥á¡¼¥¿¤ò·èÄꤹ¤ëÊýË¡¤òÄ󰯤¹¤ë¡¥¤Þ¤¿¡¤ÆÀ¤é¤ì¤¿¥Ñ¥é¥á¡¼¥¿¤òÍѤ¤¤Æ¿ô¿¤¯¤Î²èÁü¤Ë¥Õ¥£¥ë¥¿¤òŬÍѤ·¡¤Ä󰯤¹¤ë¼êË¡¤ÎÍ­¸úÀ­¤ò½¾ÍèË¡¤È¤ÎÈæ³Ó¤Ë¤ª¤¤¤ÆÌÀ¤é¤«¤Ë¤¹¤ë¡¥


¥»¥Ã¥·¥ç¥ó C1-1 ¥Õ¥í¥¢¥×¥é¥ó
Æü»þ: 2008ǯ4·î21Æü(·î) 9:00-10:15
ºÂĹ: ¾®Ê¿ ¹Ô½¨ (Åìµþ¹©¶ÈÂç³Ø)

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Ãø¼Ô *¹â¶¶ ÍÛÍ´, Æ£µÈ Ë®ÍÎ(ÅìµþÇÀ¹©Âç³ØÂç³Ø±¡ ¹©³ØÉÜ Åŵ¤ÅŻҹ©³ØÀì¹¶)
Pagepp. 189 - 194
Keyword ¥Õ¥í¥¢¥×¥é¥ó, ÎÙÀÜÀ©Ìó, ¶ë·Áʬ³ä, FT-Squeeze

Âê̾ºÇ¾®ÁíÊѰÌÇÛÃּ¸½ÌäÂê¤Ë¤ª¤±¤ëȯ¸«ÅªºÂɸ·×»»¼êË¡
Ãø¼Ô *¹âÅç ¹¯Íµ, Àé´Ó Éð»Ö(Ë̶彣»ÔΩÂç³Ø ¹ñºÝ´Ä¶­¹©³ØÉô ¾ðÊó¥á¥Ç¥£¥¢¹©³Ø²Ê), Ìø¶¶ ˮɧ(NEC¥¨¥ì¥¯¥È¥í¥Ë¥¯¥¹³ô¼°²ñ¼Ò ¥Þ¥¤¥¯¥í¥³¥ó¥Ô¥å¡¼¥¿»ö¶ÈËÜÉô), ÃæÂ¼ Í´°ì(NEC³ô¼°²ñ¼Ò ¥·¥¹¥Æ¥àIP¥³¥¢¸¦µæ½ê)
Pagepp. 195 - 200
Keyword ºÇ¾®ÁíÊѰ̼¸½ÌäÂê, Sliding-and-Packing, ECO, ¾ÜºÙÇÛÃÖ, ¥·¡¼¥±¥ó¥¹¥Ú¥¢
Abstract¶áǯ¡¤LSIÀ½Â¤µ»½Ñ¤ÏÌܳФ·¤¤¿ÊÊâ¤ò¿ë¤²¡¤1¥Á¥Ã¥×¾å¤ËÅëºÜ²Äǽ¤ÊÁǻҿô¤ÏÇúȯŪ¤ËÁýÂ礷¤Æ¤¤¤ë¡¥¤½¤ÎÂнèË¡¤È¤·¤Æ¡¤ÇÛÃ֤ϳµÎ¬ÇÛÃ֤ȾܺÙÇÛÃÖ¤Î2Ãʳ¬¤Ç¼Â¸½¤µ¤ì¤Æ¤¤¤ë¡¥¤Þ¤¿¡¤´ûÇÛÃ֤κÆÍøÍѤò¹Ô¤Ê¤¦¥Þ¥¤¥°¥ì¡¼¥·¥ç¥ó¤â¹­¤¯ÍøÍѤµ¤ì¤Æ¤¤¤ë¡¥¤³¤ì¤é¤Î¼êË¡¤Ë¶¦Ä̤ÎÌäÂê¤Ï¡¤´û¤Ë¤¢¤ëÇÛÃÖ¤ò¥â¥Ç¥ë¤È¤·¤Æ¡¤¤½¤ì¤Ë¡Ö»÷¤Æ¤¤¤ë¡×ÇÛÃÖ¤ò¼Â¸½¤¹¤ë¤³¤È¤Ç¤¢¤ë¡¥ËܹƤǤϡ¤¤³¤ì¤òºÇ¾®ÁíÊѰÌÇÛÃּ¸½ÌäÂê¤ÈÄêµÁ¤·¡¤¤³¤ì¤ËŬ¤·¤¿ºÂɸ·×»»¼êË¡ Sliding-and-Packing ¤òÄ󰯤¹¤ë¡¥¼Â¸³¤Ë¤è¤ê¡¤´û¸¤Î¼êË¡¤ÈÈæ³Ó¤·¡¤ÁíÊѰÌÎ̤¬15%-50%Äøºï¸º¤µ¤ì¡¤Í­¸úÀ­¤ò³Îǧ¤·¤¿¡¥

Âê̾3D-LSIÀ߷פΤ¿¤á¤ÎÉô²°´ÖÎÙÀܾðÊó¤òÊÝ»ý¤·¤¿¥Õ¥í¥¢¥×¥é¥óɽ¸½
Ãø¼Ô *ÂÀÅÄ ½¨Åµ, Æ£µÈ Ë®ÍÎ(ÅìµþÇÀ¹©Âç³Ø ¹©³ØÉÜ ÅŻҾðÊ󹩳ØÀì¹¶)
Pagepp. 201 - 206
Keyword 3D-LSI, ¶ë·Áʬ³ä, Q-sequence, ¥Õ¥í¥¢¥×¥é¥ó


¥»¥Ã¥·¥ç¥ó C1-2 FPGA¤òÍѤ¤¤¿Áȹþ¤ß¥·¥¹¥Æ¥à
Æü»þ: 2008ǯ4·î21Æü(·î) 10:45-12:00
ºÂĹ: ¸ÍÀî ˾ (Áá°ðÅÄÂç³Ø)

Âê̾hw/swÊ£¹çÂÎ
Ãø¼Ô *´Øº¬ ͥǯ(ÅìµþÇÀ¹©Âç³Ø¶¦À¸²Ê³Øµ»½Ñ¸¦µæ±¡), º´Æ£ µ¨²Ö, ¹©Æ£ ·ò»ü(ÅìµþÇÀ¹©Âç³ØÂç³Ø±¡), Åĸþ ¸¢(ÅìµþÇÀ¹©Âç³Ø¶¦À¸²Ê³Øµ»½Ñ¸¦µæ±¡)
Pagepp. 207 - 212
Keyword ²¾ÁÛ²óÏ©, ¥ª¥Ö¥¸¥§¥¯¥È, FPGA, SDK
AbstractFPGA¤òÅëºÜ¤·¤¿PCI¥Ü¡¼¥É¤Ë¥¢¥×¥ê³«»Ï¸å¤ËưŪ¤Ë²¾ÁÛ²óÏ©¤ò½ñ¤­¹þ¤à¼êË¡¤ò³«È¯¡¥²¾ÁÛ²óÏ©¤ò¥ª¥Ö¥¸¥§¥¯¥È²½¤·¤Æ¡¤¥ª¥Ö¥¸¥§¥¯¥È¤ÎÀ¸À®¡¦¾ÃÌÇ¤ËÆ±´ü¤·¤ÆFPGA¤Ë¥í¡¼¥É¡¦¥¢¥ó¥í¡¼¥É¤ò¹Ô¤¦¡¥²èÁü¡¦²»À¼Ç§¼±¡¤²»À¼¹çÀ®,¥í¥Ü¥Ã¥È¡¦¥¢¡¼¥àÀ©¸æ¡¤¥¹¥Ñ¥³¥ó¡¤Æ°²è¼õ¿®¤Ê¤É¤ÎÎã¤ÇÄ󰯼êË¡¤ÎÂÅÅöÀ­¤ò¸¡Æ¤¤·¤¿¡¥¥½¥Õ¥È¤È¥Ï¡¼¥É¤È¤¬Ì©¤ËÅý¹ç¤·¤ÆÆ°ºî¤¹¤ë¤¿¤á¤Ë¿ÁؤÎÀ©¸æ¹½Â¤¤òÍ­¤·¡¤²¾ÁÛ²óÏ©À߷פ¬Íưפʤ褦¤Ë¼þÊÕ²óÏ©¤¬ÁȤ߹þ¤Þ¤ì¤Æ¤¤¤ë¡¥³«È¯´Ä¶­¤ò¤Þ¤È¤áSDK¤È¤·¤ÆÄ󰯤¹¤ë¡¥Å¬ÍÑÎã¤Ë¤è¤ë²¾ÁÛ²óÏ©¤ÎÀ­Ç½É¾²Á¤Èº£¸å¤Î³«È¯²ÝÂê¤ò½Ò¤Ù¤ë¡¥

Âê̾FPGA¤òÍѤ¤¤¿Áȹþ¤ß¥½¥Õ¥È¥¦¥¨¥¢½èÍý»þ´Ö¤Î¼Â»þ´Ö·×¬¤ÈʬÀϤˤè¤ëÎ㳰ưºî¸¡½Ð¼êË¡
Ãø¼Ô *¹âÌî ¸÷»Ê, ÂçÄí ¿®Ç·(ÆüËÜ¥¢¥¤¡¦¥Ó¡¼¡¦¥¨¥à³ô¼°²ñ¼Ò Åìµþ´ðÁø¦µæ½ê)
Pagepp. 213 - 218
Keyword ¼Â»þ´Ö¸¡¾Ú, ½èÍý»þ´Ö·×¬, Î㳰ưºî¸¡½Ð
AbstractÁȤ߹þ¤ß¥½¥Õ¥È¥¦¥¨¥¢¤Ï¡¢¥·¥¹¥Æ¥à¤ÎÍÍ¡¹¤Ê³°ÉôÍ×°ø¤ò½èÍý¤·Æ°ºî¤·¤Æ¤¤¤ë¤¿¤á¡¢³°ÉôÍ×°ø¤¬¥½¥Õ¥È¥¦¥¨¥¢¤Îµóư¤ËÍ¿¤¨¤ë±Æ¶Á¤¬Â礭¤¯¡¢ÌäÂ꤬ȯÀ¸¤·¤¿ºÝ¤ËºÆ¸½À­¤¬Ä㤯¸¡¾Ú¤¬Æñ¤·¤¤¡£ÁȤ߹þ¤ß¥½¥Õ¥È¥¦¥¨¥¢¤¬²áµî¤Ë¤Ï̵¤«¤Ã¤¿µ©¤Êµóư¡¢Æ°ºî¤ò¸¡½Ð¤¹¤ë¤³¤È¤¬¤Ç¤­¤ì¤Ð¡¢ÌäÂê²òÀϤËÍ­¸ú¤Ê¼ê¤¬¤«¤ê¤È¤Ê¤ë¡£ ËÜÏÀʸ¤Ç¤Ï¡¢Áȹþ¤ß¥½¥Õ¥È¥¦¥¨¥¢Ãæ¤ÎÃíÌܤ¹¤ë¥¿¥¹¥¯¤Î½èÍý»þ´Ö¤ò¼Â»þ´Ö¤Ç¬Äꤷ¡¢Â¬Äꤷ¤¿½èÍý»þ´Ö¤ò¥¯¥é¥¹¥¿Ê¬ÀϤˤè¤Ã¤Æ²áµî¤Ë´Ñ¬¤µ¤ì¤¿½èÍý»þ´Ö¤«Èݤ«¤ò¸¡½Ð¤·¡¢²áµî¤Ë´Ñ¬¤µ¤ì¤Æ¤¤¤Ê¤¤½èÍý»þ´Ö¤Ç¤¢¤ì¤Ð¥·¥¹¥Æ¥à¤ÇÎ㳰ưºî¤¬µ¯¤­¤¿¤ÈȽÃǤ¹¤ë¼êË¡¤Ë¤Ä¤¤¤Æ¤Ë´Ø¤·¤Æ½Ò¤Ù¡¢¼ÂºÝ¤ÎÁȤ߹þ¤ß¥½¥Õ¥È¥¦¥¨¥¢¤ËŬÍѤ·¤¿·ë²Ì¤òÊó¹ð¤¹¤ë¡£

Âê̾FPGA Prototyping of a Simultaneous Multithreading Processor
Ãø¼Ô *Chengjie Zang(Graduate School of Information, Production and Systems, Waseda University), Shigeki Imai(Sharp Corporation), Shinji Kimura(Graduate School of Information, Production and Systems, Waseda University)
Pagepp. 219 - 224
Keyword FPGA prototyping, Simultaneous multithreading processor, Multi-port duplicate register file
AbstractThis paper describes the prototyping of a Simultaneous Multithreading (SMT) processor on FPGA board. The SMT processor model is written by using Verilog HDL which can be synthesized and mapped on FPGA. The SMT processor can not be implemented on FPGA since it has large number of store elements, such as duplicate register file with multiple ports, instruction memory and data memory. To reduce the area of implementation for large design, we propose a method to implement multi-port register file using embedded RAM. This method also can be used for other designs with multi-port general register file. This paper also shows some experimental results of SMT processor using this method.


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Æü»þ: 2008ǯ4·î21Æü(·î) 13:30-14:45
ºÂĹ: ÂçÀРμ²ð (ÉÙ»ÎÄ̸¦µæ½ê)

Âê̾UML¤«¤é¤ÎÏÀÍý¹çÀ®²ÄǽHDL¤ÎÀ¸À®»î¹Ô
Ãø¼Ô *ÂçÄÐ ÇîÇ·, ÊÂÌÚ ¼¢(Å쳤Âç³Ø Âç³Ø±¡ ¹©³Ø¸¦µæ²Ê ¾ðÊóÄÌ¿®À©¸æ¥·¥¹¥Æ¥à¹©³ØÀì¹¶), À¶¿å ¾°É§(Å쳤Âç³Ø ¾ðÊóÍý¹©³ØÉô ¥½¥Õ¥È¥¦¥§¥¢³«È¯¹©³Ø²Ê ¶µ¼ø)
Pagepp. 225 - 230
Keyword UML, ESL, LSIÀß·×, HDL, ¹â¥ì¥Ù¥ëÏÀÍý¹çÀ®
Abstract¶áǯ¡¤È¾Æ³Âε»½Ñ¤ÎȯŸ¤Ë¤è¤ê¹âÀ­Ç½¡¦¹âµ¡Ç½¤ÊLSI¡ÊLarge Scale Integration¡Ë¤¬³«È¯¤µ¤ì¤Æ¤ª¤ê¡¤LSI¤Ë¿¤¯¤ÎÍ׵᤬¤¢¤ë¡¥¤Þ¤¿¡¤¤½¤ì¤Ë²Ã¤¨¤Æ³«È¯´ü´Ö¤ÎÀßÄ꤬û½Ì¤µ¤ì¤Æ¤¤¤ë¤Î¤¬¸½¾õ¤Ç¤¢¤ë¡¥¤½¤Î¤¿¤á¡¤LSI³«È¯Ê¬Ìî¤Ç¤Ï¡¤RTL¡ÊRegister Transfer Level¡Ë¤è¤ê¤âÃê¾ÝÅ٤ι⤤ESL¡ÊElectronic System Level¡Ë¤Ç¤Î³«È¯¤¬ÃíÌܤµ¤ì¤Æ¤¤¤ë¡¥Ëܸ¦µæ¤Ç¤Ï¡¤LSI³«È¯¤Ë¤ª¤¤¤ÆÍ׵ᤫ¤é¥·¥¹¥Æ¥àÀ߷פޤÇUML¡ÊUnified Modeling Language¡Ë¤Ç³«È¯¤ò¹Ô¤¤¡¤¼ÂÁõÃʳ¬¤Ç¤ÏUML¤«¤éÏÀÍý¹çÀ®²Äǽ¤ÊHDL¤òÀ¸À®¤·¡¤¼ÂÁõ¼Â¸³¤ò¹Ô¤Ã¤¿¡¥ËܹƤǤϡ¤LSI³«È¯¤ËUML¤òŬÍѤ·¤¿¾ì¹ç¤ÎÍ­ÍÑÀ­¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë¡¥

Âê̾Áê´ØÃÍ·×»»²óÏ©¤Î¥¢¡¼¥­¥Æ¥¯¥Á¥ãÀ߷פȤ½¤ÎºÇŬ²½
Ãø¼Ô *¿À¸Í ¾°»Ö(¶áµ¦Âç³Ø Íý¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê), ¾åÄÅ ´²ÏÂ, ¼ò°æ â«»Ê(¶áµ¦Âç³ØÂç³Ø±¡ Áí¹çÍý¹©³Ø¸¦µæ²Ê), »³ÅÄ ¹¸µ×(¥·¥ã¡¼¥×³ô¼°²ñ¼ÒÅŻҥǥХ¤¥¹³«È¯ËÜÉô Àèüµ»½Ñ³«È¯¸¦µæ½ê)
Pagepp. 231 - 236
Keyword ¥¢¡¼¥­¥Æ¥¯¥Á¥ãÀß·×, C¸À¸ìÀß·×, Áê´ØÃÍ·×»»²óÏ©, ¥Ñ¥¤¥×¥é¥¤¥Ë¥ó¥°, ¥á¥â¥ê¥¢¥¯¥»¥¹
Abstract¥·¥¹¥Æ¥àLSI¤Ï³Æ¼ïÅŻҵ¡´ï¤Ë¹­¤¯ÍøÍѤµ¤ì¡¢Ç¯¡¹Ê£»¨²½¡¦¹âÅÙ²½¤¬¿Ê¤ó¤Ç¤¤¤ë¡£¥·¥¹¥Æ¥àLSI¤Î²óÏ©ÌÌÀѤäÀ­Ç½¤Ï¡¢¥¢¡¼¥­¥Æ¥¯¥Á¥ãÀ߷פËÂ礭¤¯°Í¸¤¹¤ë¡£ C¸À¸ì¤Ë¤è¤ë¥¢¡¼¥­¥Æ¥¯¥Á¥ãÀ߷פǤϡ¢¥ª¥ê¥¸¥Ê¥ë¤ÎC¸À¸ìµ­½Ò¤ËÂФ·¤Æ¡¢¥Ó¥Ã¥ÈÀºÅÙ»ØÄê¡¢¥á¥â¥êÀë¸À¤ä¥¢¥¯¥»¥¹µ­½Ò¡¢ÊÂÎóÆ°ºîµ­½Ò¡¢´Ø¿ô¹½Â¤¤ËÂФ¹¤ëÊѹ¹¡¢µÚ¤Ó¥×¥é¥°¥Þ¤Ë¤è¤ë¥Ñ¥é¥á¡¼¥¿»ØÄê¤Ê¤É¤Ë¤è¤ê¡¢ÍÍ¡¹¤Ê¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤ò¼Â¸½¤Ç¤­¤ë¡£ ËÜʸ¤Ç¤Ï¡¢À­Ç½¸þ¾å¤È²óÏ©µ¬ÌϺ︺¤òÌÜŪ¤È¤·¤Æ¥Ç¡¼¥¿¥¢¥¯¥»¥¹¡¢ÊÂÎ󲽡¢¥â¥¸¥å¡¼¥ë¹½À®¤äʬ³ä¤ÎÊѹ¹¡¢ÀìÍѱ黻²óÏ©²½¤Ê¤É¡¢£´¤Ä¤Î¥¢¡¼¥­¥Æ¥¯¥Á¥ãºÇŬ²½Ë¡¤Ë¤Ä¤¤¤ÆC¸À¸ì¥Ù¡¼¥¹À߷פˤè¤ë¼Â¸½ÊýË¡¤òÄ󰯤·¡¢C¸À¸ì¥Ù¡¼¥¹Àß·×¥·¥¹¥Æ¥à¤Î°ì¤Ä¤Ç¤¢¤ëBach¥·¥¹¥Æ¥à¤òÍѤ¤¤ÆÁê´ØÃÍ·×»»²óÏ©¤òÀ߷פ·¡¢¤½¤ÎÀ­Ç½¤òɾ²Á¤¹¤ë¡£

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Ãø¼Ô *ÅÏîµ Íµ¼ù, ËÜ´Ö ¾°Ê¸(ÅìËÌÂç³Ø), ½ÐÀî ¾¡É§ (¥¢¥É¥Ð¥ó¥Æ¥¹¥È), ÀÄÌÚ ¹§Ê¸ (ÅìËÌÂç³Ø), Èõ¸ý ζͺ(ÅìË̹©¶ÈÂç³Ø)
Pagepp. 237 - 242
Keyword ¥Ç¡¼¥¿¥Ñ¥¹, »»½Ñ±é»»²óÏ©, ¿ÃÍÏÀÍý²óÏ©


¥»¥Ã¥·¥ç¥ó C1-4 ¥á¥â¥êºÇŬ²½
Æü»þ: 2008ǯ4·î21Æü(·î) 15:00-15:50
ºÂĹ: ÃÝÃæ ¿ò (NEC)

Âê̾¥¢¥×¥ê¥±¡¼¥·¥ç¥ó¥×¥í¥»¥Ã¥µ¤ÎL1¥­¥ã¥Ã¥·¥åºÇŬ²½¼êË¡
Ãø¼Ô *ÅìÛê ¿®ÌÀ, ¸ÍÀî ˾, Ìøß· À¯À¸, ÂçÉí äÉ×(Áá°ðÅÄÂç³ØÂç³Ø±¡ ´ð´´Íý¹©³Ø¸¦µæ²Ê ¾ðÊóÍý¹©³ØÀì¹¶)
Pagepp. 243 - 248
Keyword ¥­¥ã¥Ã¥·¥å, ¥­¥ã¥Ã¥·¥åºÇŬ²½, ÁȤ߹þ¤ß¥·¥¹¥Æ¥à, ¥×¥í¥»¥Ã¥µ¥³¥¢
Abstract¶áǯ¡¤µ­²±ÁõÃ֤ȽèÍýÁõÃÖ¤ÎÀ­Ç½º¹¤¬³ÈÂ礷¡¤ÌäÂê¤È¤Ê¤Ã¤Æ¤¤¤ë¡¥¤³¤ì¤ò²ò·è¤¹¤ë¤¿¤á¤Î¼êË¡¤Î1¤Ä¤¬¥­¥ã¥Ã¥·¥å¤Ç¤¢¤ë¡¥¤·¤«¤·¡¤¤½¤Î¹½À®¤Ë¤è¤Ã¤Æ¤Ï¡¤½½Ê¬¤Ë¸ú²Ì¤òȯ´ø¤·¤Ê¤¤¾ì¹ç¤â¤¢¤ë¡¥ ËܹƤǤÏÊ£¿ô¤Î¥­¥ã¥Ã¥·¥å¹½À®¤ÎÃæ¤«¤éÆÃÄê¤Î¥¢¥×¥ê¥±¡¼¥·¥ç¥ó¤ËŬ¤·¤¿¹½À®¤òÁªÂò¤¹¤ë¤¿¤á¤Î¥­¥ã¥Ã¥·¥åºÇŬ²½¼êË¡¤òÄ󰯤¹¤ë¡¥ ËܼêË¡¤Ï¡¤¥¢¥×¥ê¥±¡¼¥·¥ç¥ó¥½¡¼¥¹¥³¡¼¥É¤ÈÌÌÀÑÀ©Ìó¤òÆþÎϤ¹¤ë¤³¤È¤Ç¡¤¥á¥¤¥ó¥á¥â¥ê¤ÈL1¥­¥ã¥Ã¥·¥å¤«¤é¤Ê¤ë¥á¥â¥ê³¬ÁØÁ´ÂΤÎÁí¥á¥â¥ê¥¢¥¯¥»¥¹»þ´Ö¤òɾ²Á»ØÉ¸¤È¤·¤Æ¡¤ÂоݤȤʤ륢¥×¥ê¥±¡¼¥·¥ç¥ó¤ËÆÃ²½¤·¤¿¥­¥ã¥Ã¥·¥å¹½À®¤òµá¤á¤ë¡¥ ¥­¥ã¥Ã¥·¥åÍÆÎÌ¡¤¥Ö¥í¥Ã¥¯¥µ¥¤¥º¡¤Ï¢ÁÛÅÙ¤òºÇŬ²½¤·¡¤¥¢¥×¥ê¥±¡¼¥·¥ç¥ó¤ËºÇŬ¤ÊL1¥­¥ã¥Ã¥·¥å¹½À®¤òÌܻؤ¹¡¥ ËܼêË¡¤òÍѤ¤¤ë¤³¤È¤Ç¡¤´û¸¼êË¡¤ÈÈæ³Ó¤·Ê¿¶Ñ7.35Çܹ⮤˥­¥ã¥Ã¥·¥åºÇŬ²½¤ò¼Â¹Ô¤Ç¤­¤ë¤³¤È¤ò³Îǧ¤·¤¿¡¥

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Ãø¼Ô *ÉÍÊÕ ¿ò, ºä¼ç ·½»Ë, ÉðÆâ ÎÉŵ, º£°æ Àµ¼£(ÂçºåÂç³ØÂç³Ø±¡¾ðÊó²Ê³Ø¸¦µæ²Ê)
Pagepp. 249 - 254
Keyword ¥Ö¥í¥Ã¥¯ÉâÆ°¾®¿ôÅÀ, ¥Ç¡¼¥¿ÇÛÃÖ, ÇÛÎó
Abstract¥Ö¥í¥Ã¥¯ÉâÆ°¾®¿ôÅÀɽ¸½¤Ï¡¤¸ÇÄê¾®¿ôÅÀɽ¸½¤ÈƱÅù¥Ï¡¼¥É¥¦¥§¥¢Î̤ª¤è¤Ó±é»»Â®ÅÙ¤ÇÉâÆ°¾®¿ôÅÀɽ¸½¤ÈƱÅù¤Î±é»»ÀºÅÙ¤ò¼Â¸½¤Ç¤­¤ë¼Â¿ôɽ¸½·Á¼°¤Ç¤¢¤ë¡¥¥Ö¥í¥Ã¥¯ÉâÆ°¾®¿ôÅÀɽ¸½¤ò»ÈÍѤ·¤¿¥·¥¹¥Æ¥à¤Ë¤ª¤¤¤Æ¡¤¥Ç¡¼¥¿¥á¥â¥ê¾å¤Î¥Ç¡¼¥¿¤ÎÇÛÃ֤ϥ·¥¹¥Æ¥à¤Î±é»»ÀºÅÙ¤ª¤è¤Ó±é»»Â®ÅÙ¤ËÂ礭¤¯±Æ¶Á¤¹¤ë¡¥¤·¤«¤·¡¤¥Ö¥í¥Ã¥¯ÉâÆ°¾®¿ôÅÀ¤ò»ÈÍѤ·¤¿¥·¥¹¥Æ¥à¤Î¥Ç¡¼¥¿ÇÛÃ֤˴ؤ¹¤ë¸¦µæ¤Ï¤Þ¤ÀÊó¹ð¤µ¤ì¤Æ¤¤¤Ê¤¤¡¥ËܹƤǤϥ֥í¥Ã¥¯ÉâÆ°¾®¿ôÅÀɽ¸½¤ò»ÈÍѤ·¤¿¥Ç¥£¥¸¥¿¥ë¿®¹æ½èÍý¥·¥¹¥Æ¥à¤Î¥Ç¡¼¥¿¤ÎÇÛÃÖ¼êË¡¤òÄ󰯤¹¤ë¡¥Ä󰯼êË¡¤Ï¡¤Kernighan-Lin¥¢¥ë¥´¥ê¥º¥à¤ò´ð¤Ë¡¤ÃͤÎÈϰϤ¬¶á¤¤¥Ç¡¼¥¿¤ò¥Ç¡¼¥¿¥á¥â¥ê¾å¤Î¶á¤¤°ÌÃÖ¤ËÇÛÃÖ¤¹¤ë¤³¤È¤è¤Ã¤Æ¡¤¥·¥¹¥Æ¥à¤Î¥Ï¡¼¥É¥¦¥§¥¢Î̤òºÇ¾®²½¤¹¤ë¡¥


¥»¥Ã¥·¥ç¥ó D1-1 ¥Í¥Ã¥È¤È¥·¥¹¥Æ¥à
Æü»þ: 2008ǯ4·î21Æü(·î) 9:00-10:15
ºÂĹ: ̾²Å¼ À¹Ï (ΰµåÂç³Ø ¹©³ØÉô ¾ðÊ󹩳زÊ)

Âê̾On Soundness Verification of Acyclic Workflow Nets Using the SPIN Model Checker
Ãø¼Ô *Shingo Yamaguchi, Munenori Yamaguchi, Minoru Tanaka(Graduate School of Science and Engineering, Yamaguchi University)
Pagepp. 255 - 260
Keyword workflow nets, model checking, SPIN, Woflan, Petri nets
AbstractIn this paper, we propose a method to verify soundness of acyclic WF-nets using SPIN. We give a method to describe a given WF-net system in the modeling language of SPIN. Next we give a method to express the conditions of soundness property as Linear Temporal Logic formulas. Finally we show efficiency of our method by comparing it with Woflan on verification time for acyclic asymmetric choice WF-nets.

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Ãø¼Ô *¾®ÎÓ ¹§°ì(ËÌΦÀèü²Ê³Øµ»½ÑÂç³Ø±¡Âç³Ø), °æÂ¼ ½ç°ì(Åìµþ¹©¶ÈÂç³Ø), Ê¿ÀРˮɧ(ËÌΦÀèü²Ê³Øµ»½ÑÂç³Ø±¡Âç³Ø)
Pagepp. 261 - 265
Keyword °äÅÁ»Òȯ¸½¥Í¥Ã¥È¥ï¡¼¥¯, ¥Ö¡¼¥ê¥¢¥ó¥Í¥Ã¥È¥ï¡¼¥¯, ²ÄÀ©¸æÀ­
Abstract¥Ö¡¼¥ê¥¢¥ó¥Í¥Ã¥È¥ï¡¼¥¯¥â¥Ç¥ë¤Ï°äÅÁ»Òȯ¸½¥Í¥Ã¥È¥ï¡¼¥¯¤ÎÂåɽŪ¤Ê¥â¥Ç¥ë¤Î°ì¤Ä¤Ç¤¢¤ê¡¤°äÅÁ»Ò¤Îȯ¸½¾õÂÖ¤ò 0-1 ÊÑ¿ô¤Çɽ¸½¤·¡¤³Æ°äÅÁ»Ò´Ö¤Î°Í¸´Ø·¸¤ò¥Ö¡¼¥ë´Ø¿ô¤Çɽ¸½¤·¤Æ¤¤¤ë¡¥ËÜÏÀʸ¤Ç¤Ï¡¤°äÅÁ»Òȯ¸½¥Í¥Ã¥È¥ï¡¼¥¯¤ÎÀ©¸æ¤Ë¸þ¤±¤¿Âè°ìÊâ¤È¤·¤Æ¡¤¥Ö¡¼¥ê¥¢¥ó¥Í¥Ã¥È¥ï¡¼¥¯¥â¥Ç¥ë¤Çɽ¸½¤µ¤ì¤¿°äÅÁ»Òȯ¸½¥Í¥Ã¥È¥ï¡¼¥¯¤ËÂФ·¡¤²ÄÀ©¸æÀ­¤ò¿·¤¿¤ËÄêµÁ¤·¡¤²ÄÀ©¸æÀ­¾ò·ï¤òƳ½Ð¤¹¤ë¡¥²ÄÀ©¸æÀ­¤Ï°äÅÁ»Ò¤Îȯ¸½¾õÂÖ¤òǤ°Õ¤ËÀ©¸æ²Äǽ¤Ç¤¢¤ë¤«¤É¤¦¤«¤òÆÃħÉÕ¤±¤ë½ÅÍפÊÀ­¼Á¤Ç¤¢¤ë¡¥ÆÀ¤é¤ì¤ë¾ò·ï¤Ï¡¤°äÅÁ»Òȯ¸½¥Í¥Ã¥È¥ï¡¼¥¯¤¬²ÄÀ©¸æ¤Ç¤¢¤ë¤¿¤á¤Î½½Ê¬¾ò·ï¤Ç¤Ï¤¢¤ë¤¬¡¤·×»»¤¬Íưפʤâ¤Î¤Ç¤¢¤ë¡¥¤Þ¤¿¡¤¿À·ÐÅÁãʪ¼Á¤Î¥·¥°¥Ê¥ëÅÁã·ÐÏ©¤Î¥â¥Ç¥ë¤ËÄ󰯼êË¡¤òŬÍѤ·¡¤Í­¸úÀ­¤ò¸¡¾Ú¤¹¤ë¡¥

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Ãø¼Ô *꼡 »°Ïº, ¸· ÞÊ, ÇòÀî ¸ù, ÆóÇ·µÜ ¹°(ʼ¸Ë¸©Î©Âç³ØÂç³Ø±¡±þÍѾðÊó²Ê³Ø¸¦µæ²Ê), °¤Ì͵(¥¹¥Þ¡¼¥È¥Æ¥£¥×¥¹³ô¼°²ñ¼Ò)
Pagepp. 267 - 272
Keyword ISO 13584, PLIB¼­½ñ, ¥Á¥§¡¼¥ó, ¹ñºÝɸ½à, À½Éʥǡ¼¥¿¥Ù¡¼¥¹
AbstractÀ¤³¦Ëǰ׵¡¹½WTO (World Trade Organization) ¤Ï¡¢TBT (Technical Barrier to Trade)¶¨Äê¤Ë¤è¤Ã¤Æ¡¢³ÆÈã½Ú¹ñ¤ËÂФ·¤Æ¹ñºÝ¾¦¼è°ú¤ä¹ñºÝĴã¤Ë¤ª¤¤¤Æ¹ñÆâµ¬³Ê¤è¤ê¤â¹ñºÝµ¬³Ê¤òÍ¥À褹¤ë¤³¤È¤òµá¤á¤Æ¤¤¤ë¡£¤·¤¿¤¬¤Ã¤Æ¡¢¹ñºÝɸ½à²½µ¡¹½ISO(International¡¡Organization for Standardization)¤¬´«¹ð¤¹¤ë¹ñºÝµ¬³Ê¤Ï¡¢¹©¶ÈÀ½ÉÊ¡¢À½Â¤»ÅÍÍ¡¢¹ñºÝ¾¦¼è°ú¡¢¤¢¤ë¤¤¤Ï¹ñºÝĴã¤Ë¤ª¤¤¤Æ¶¯À©ÎϤò»ý¤Ä¤³¤È¤Ïɬ»ê¤Ç¤¢¤ê¡¢ISOµ¬³Ê¤Ë½àµò¤·¤¿¹©¶ÈÀ½Éʥǡ¼¥¿¥Ù¡¼¥¹¤ò¹½ÃÛ¤¹¤ë¤³¤È¤Ï¡¢¹©¶ÈΩ¹ñ¤È¤·¤Æ¶ÛµÞ¤Ê²ÝÂê¤Ç¤¢¤ë¡£¸½ºß¡¢¹©¶ÈÀ½Éʥǡ¼¥¿¥Ù¡¼¥¹¤Î¹ñºÝɸ½à²½¤¬¡¢ISO ¤Î¥ï¡¼¥­¥ó¥°¥°¥ë¡¼¥×TC184/SC4/WG2¤Ë¤è¤Ã¤Æ¿Ê¤á¤é¤ì¡¢ISO 13584¤ÇÄê¤á¤ë¡ÖStandard Parts Library: PLIB¡× µ¬³Ê¤Ë´ð¤Å¤¯¡¢¤¤¤ï¤æ¤ë¡ÖPLIB¼­½ñ¡×¤ÎÊÔ»¼¤¬¤¤¤¯¤Ä¤«¤Î¹ñ¤Ç¿Ê¤á¤é¤ì¤Æ¤¤¤ë¡£¤·¤«¤·¤Ê¤¬¤é¡¢¤ï¤¬¹ñ¤Ç¤Ï¡¢¼çÍפÊËǰ×ÉÊÌܤȤ·¤Æ¤Îµ¡³£Í×ÁǤʤɤι©¶ÈÀ½Éʤ˴ؤ·¤Æ¡¢¤³¤Î¡ÖPLIB ¼­½ñ¡×¤ÎÊÔ»¼¤Ï̤Ãå¼ê¤Î¾õ¶·¤Ë¤¢¤ë¡£¤³¤Î¤è¤¦¤Ê¸½¾õ¤òÂÇÇˤ¹¤Ù¤¯¡¢ËÜʸ¤Ç¤Ï¡¢µ¡³£Í×ÁǤΰì¤Ä¤Ç¤¢¤ë¡Ö¥Á¥§¡¼¥ó¡×¤Ë¾ÇÅÀ¤ò¹Ê¤ê¡¢¡ÖPLIB¼­½ñ¡×À¸À®¤Î½èÍý¼ê³¤­¤Ë¤Ä¤¤¤Æ¹Í»¡¤¹¤ë¡£


¥»¥Ã¥·¥ç¥ó D1-2 ¥°¥é¥Õ¥¢¥ë¥´¥ê¥º¥à
Æü»þ: 2008ǯ4·î21Æü(·î) 10:45-12:00
ºÂĹ: Ãæ»³ ¿µ°ì (ÆÁÅçÂç³Ø Áí¹ç²Ê³ØÉô ¼«Á³¥·¥¹¥Æ¥à³Ø²Ê ¿ôÍý²Ê³Ø)

Âê̾A Linear Time Algorithm for Tri-connectivity Augmentation of Bi-connected Graphs with Upper Bounds on Vertex-Degree Increase
Ãø¼Ô *Toshiya Mashima(Hiroshima International University), Satoshi Taoka, Toshimasa Watanabe(Hiroshima University)
Pagepp. 273 - 278
Keyword graph, vertex connectivity, augmentation problem, linear time algorithm, degree constraint
AbstractThe $3$-vertex-connectivity augmentation problem of a graph with degree constraints, $3$VCA-DC, is defined as follows: ``Given an undirected graph $G=(V,E)$, and an upper bound $g(v)\in Z^+\cup\{\infty\}$ on vertex-degree increase for each $v\in V$, find a smallest set $E'$ of edges such that $(V,E\cup E')$ has at least three internally-disjoint paths between any pair of vertices in $V$ and such that vertex-degree increase of each $v\in V$ by the addition of $E'$ to $G$ is at most $g(v)$, where $Z^+$ is the set of nonnegative integers.'' In this paper we show that checking the existence of a feasible solution and finding an optimum solution to $3$VCA-DC for any bi-connected graph $G$ can be done in $O(|V|+|E|)$ time.

Âê̾¥°¥é¥ÕÅÀºÌ¿§ÌäÂê²òË¡¤ÎÀ­Ç½¶¯²½¤È¤½¤Î±þÍÑ
Ãø¼Ô ²¬ÅÄ ¿µ»Ê(¹­ÅçÂç³Ø¹©³ØÉô), *ÅIJ¬ ÃÒ»Ö, ÅÏî´ ÉÒÀµ(¹­ÅçÂç³ØÂç³Ø±¡ ¹©³Ø¸¦µæ²Ê)
Pagepp. 279 - 284
Keyword ¥°¥é¥ÕÅÀºÌ¿§ÌäÂê, ºÇ¾®ºÌ¿§¿ô, ¶á˵õº÷, ȯ¸«Åª²òË¡, ʬ»Þ¸ÂÄêË¡
Abstract¥°¥é¥Õ¤ÎÅÀºÌ¿§¤È¤Ï¡¤Í¿¤¨¤é¤ì¤¿¥°¥é¥ÕG¤Ë¤ª¤¤¤ÆÎÙÀܤ¹¤ë2ÅÀ(1ËܤÎÊդǷë¤Ð ¤ì¤Æ¤¤¤ë2ÅÀ)¤Ï°Û¤Ê¤ë¿§¤È¤Ê¤ë¤è¤¦¤Ë¡¤¤¹¤Ù¤Æ¤ÎĺÅÀ¤Ë¿§¤òÅɤ뤳¤È¤Ç¤¢¤ë¡¥ ÅÀºÌ¿§¤ËɬÍפʺǾ®¤Î¿§¿ô¤òºÇ¾®¿§¿ô¤È¸Æ¤Ó¡¤¦Ö(G)¤Çɽ¤¹¡¥ÅÀºÌ¿§ÌäÂê(GCP) ¤ÏºÇ¾®¿§¿ô¦Ö(G)µÚ¤Ó¤½¤Î¤È¤­¤ÎÅÀºÌ¿§¤òµá¤á¤ëÌäÂê¤Ç¤¢¤ê¡¤°ìÈ̤ËNP º¤Æñ¤Ç ¤¢¤ë¤³¤È¤¬ÃΤé¤ì¤Æ¤¤¤ë¡¥ËÜÏÀʸ¤Ç¤Ï¡¤¶á˵õº÷Ë¡ (VNS) ¤ò²þÎɤ·¤ÆÈ¯¸«Åª ²òË¡¤ÎÀ­Ç½¤ò¸þ¾å¤µ¤»¡¤·×»»µ¡¼Â¸³¤Ë¤è¤ëɾ²Á¤òÍ¿¤¨¤ë¡¥¤µ¤é¤Ë¤½¤Î±þÍÑÎã¤È ¤·¤Æ¡¤¸·Ì©²ò¤òµá¤á¤ëʬ»Þ¸ÂÄêË¡¤Î¾å¸ÂÃͤȤ·¤ÆÍѤ¤¤ë¤È·×»»»þ´Ö¤¬Ã»½Ì¤Ç ¤­¤ë¤³¤È¤ò¼¨¤¹¡¥

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Ãø¼Ô Ô¢¶á ÂóÌé(¹­ÅçÂç³Ø¹©³ØÉô), *ÅIJ¬ ÃÒ»Ö, ÅÏî´ ÉÒÀµ(¹­ÅçÂç³ØÂç³Ø±¡ ¹©³Ø¸¦µæ²Ê)
Pagepp. 285 - 290
Keyword ÅÀÈïʤ, ºÇ¾®½Å¤ßÅÀÈïʤÌäÂê, ¶á»÷²òË¡, ·×»»µ¡¼Â¸³
Abstract¥°¥é¥ÕG=(V,E)¤ÎÅÀÈïʤ¤Ï¡¤ÊÕ½¸¹çE¤ÎǤ°Õ¤ÎÊÕ¤ÎüÅÀ¤Î¤¦¤Á¾¯¤Ê¤¯¤È¤â°ìÊý¤¬ ´Þ¤Þ¤ì¤ë¤è¤¦¤ÊĺÅÀ½¸¹çV¤ÎÉôʬ½¸¹çN¤Ç¤¢¤ë¡¥ÅÀÈïʤÌäÂê (MWVC¤Èά¤¹) ¤Ï¡¤ ³ÆÄºÅÀv(¢º V)¤¬ÅÀ½Å¤ßw(v)¤ò»ý¤Ä¥°¥é¥ÕG=(V,E)¤ËÂФ¹¤ë½Å¤ßÁíϺǾ®¤ÎÅÀÈï ʤ¤òµá¤á¤ëÌäÂê¤Ç¤¢¤ë¡¥ËܹƤǤϡ¤³ÆÅÀ¤Î½Å¤ß¤ÏÀµ¤ÎÀ°¿ô¤Ç¤¢¤ëMWVC¤ò¹Í¤¨¡¤ 5¤Ä¤Î´û¸¶á»÷²òË¡¤ò¼ÂÁõ¤·¡¤·×»»µ¡¼Â¸³¤Ë¤è¤ê¤³¤ì¤é¤ÎÀ­Ç½¤òɾ²Á¤¹¤ë¡¥


¥»¥Ã¥·¥ç¥ó D1-3 °Å¹æ¤È¾ðÊ󥻥­¥å¥ê¥Æ¥£
Æü»þ: 2008ǯ4·î21Æü(·î) 13:30-15:00
ºÂĹ: »³¸ý ¿¿¸ç (»³¸ýÂç³ØÂç³Ø±¡Íý¹©³Ø¸¦µæ²Ê)

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Ãø¼Ô *¸Å¸¶ ÏÂË®(»º¶Èµ»½ÑÁí¹ç¸¦µæ½ê)
Keyword °Å¹æ, ¾ðÊ󥻥­¥å¥ê¥Æ¥£, ¥Ï¥Ã¥·¥å´Ø¿ô, MAC, ½ð̾
AbstractËֱܹé¤Ç¤Ï¡¢°Å¹æ¤È¾ðÊ󥻥­¥å¥ê¥Æ¥£¤Î´ðÁõ»½Ñ¤È¤·¤Æ¡¢¶¦Ä̸°°Å¹æ¡¢¸ø³«¸°°Å¹æ¡¢¥Ï¥Ã¥·¥å´Ø¿ô¡¢MAC (Message Authentication Code)¡¢ÅŻҽð̾¡¢¸ø³«¸°Ç§¾Ú´ðÈ× (PKI : Public Key infrastructure)¤Ê¤É¤Ë¤Ä¤¤¤Æ²òÀâ¤ò¹Ô¤¦¡£

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Æü»þ: 2008ǯ4·î21Æü(·î) 15:30-17:00
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Pagepp. 291 - 293
Keyword ºÙ˦¥¦¥§¥¢, ¹çÀ®À¸Êª³Ø, ʬ»Ò¥³¥ó¥Ô¥å¡¼¥Æ¥£¥ó¥°, ÈóÀþ·Á¥·¥¹¥Æ¥àÏÀ, ³ÎΨ²áÄøÏÀ
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Pagepp. 295 - 297
Keyword ¹çÀ®À¸Êª³Ø, ºÙ˦¥¦¥§¥¢, °äÅÁ»Ò¹©³Ø
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Æü»þ: 2008ǯ4·î21Æü(·î) 17:40-18:40
ºÂĹ: ̾²Å¼ À¹Ï (ΰµåÂç³Ø ¹©³ØÉô ¾ðÊ󹩳زÊ)

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Æü»þ: 2008ǯ4·î22Æü(²Ð) 8:40-10:15
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Pagepp. 299 - 304
Keyword SSTA, ¤Ð¤é¤Ä¤­, ½ÐÎÏÁ«°Ü»þ´Ö
Abstract65nm CMOS ¥¤¥ó¥Ð¡¼¥¿¤òÍѤ¤¤Æ¥È¥é¥ó¥¸¥¹¥¿ïçÃÍÅ۵¤Ð¤é¤Ä¤­¤ËÂФ¹¤ë½ÐÎÏÁ«°Ü»þ´Ö¤Ð¤é¤Ä¤­¤òÄ´ºº¤·¡¢ÃÙ±ä»þ´Ö¤È½ÐÎÏÁ«°Ü»þ´Ö¤ÎÁê ´ØÀ­¤¬Äã²¼¤¹¤ëÆþÎÏÁ«°Ü»þ´Ö¤È½ÐÎÏÉé²Ù¤ÎÁȤ߹ç¤ï¤»¤Ë¤ª¤¤¤Æ¤Ï¡¢½¾Íè¤Î¤Ð¤é¤Ä¤­´¶ÅÙ¤òÍѤ¤¤¿²òÀϼêË¡¤Ç¤Ï¡¢½ÐÎÏÁ«°Ü»þ´Ö¤Î¤Ð¤é¤Ä¤­¤òɬ¤º¤·¤âÀµ¤·¤¯É½¸½¤Ç¤­¤Ê¤¤¤³¤È¤òÌÀ¤é¤«¤Ë¤¹¤ë¡£ÆÃ¤Ë¡¢¤³¤Î»þ¤Î½ÐÎÏÁ«°Ü»þ´Ö¤Î¤Ð¤é¤Ä¤­¤¬¡¢¥¤¥ó¥Ð¡¼¥¿Æ°ºî¥Þ¡¼¥¸¥ó¤Ç¤¢¤ëVmargin¤ËÂФ¹¤ëÆó¼¡¤ÎÁê´ØÆÃÀ­¤È¤·¤Æ´Ñ¬¤µ¤ì¤ë¤³¤È¤òÌÀ¤é¤«¤Ë¤·¡¢¤³¤ÎÆó¼¡¤ÎÁê´ØÆÃÀ­¤È½¾Íè¤Î¤Ð¤é¤Ä¤­´¶ÅÙ¤òÍѤ¤¤¿¼êË¡¤òÁȤ߹ç¤ï¤»¤ë¤³¤È¤Ë¤è¤ê¡¢½ÐÎÏÁ«°Ü»þ´Ö¤Ð¤é¤Ä¤­¤Î·×»»¸íº¹¤¬²þÁ±¤Ç¤­¤ë¤³¤È¤ò¼¨¤¹¡£

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Pagepp. 305 - 310
Keyword ¤Ð¤é¤Ä¤­, ¥·¥¹¥Æ¥Þ¥Æ¥£¥Ã¥¯À®Ê¬, Áê´Ø·¸¿ô, µ÷Î¥°Í¸, ¥é¥ó¥À¥à¶ÊÌÌ
AbstractLSI¤Î¥Á¥Ã¥×Æâ¤Ð¤é¤Ä¤­¤Ë¤ª¤¤¤Æ¡¢¥·¥¹¥Æ¥Þ¥Æ¥£¥Ã¥¯À®Ê¬¤È¤¤¤¦¤â¤Î¤¬¤¢¤ë¡£ÁÇ»ÒÆÃÀ­ÊÑÆ°¤Î¡¢¤Ê¤À¤é¤«¤Ê¶ÊÌÌÀ®Ê¬¤Î¤³¤È¤Ç¤¢¤ë¡£¤³¤Î¶ÊÌÌÀ®Ê¬¤ò¤É¤Î¤è¤¦¤ËÀ߷פ˼è¤ê¹þ¤à¤«¤¬µÄÏÀ¤µ¤ì¤Æ¤¤¤ë¡£¸½ºß¼çή¤È¤Ê¤Ã¤Æ¤¤¤ë¹Í¤¨Êý¤Ï¡¢¡ÖÁê´Ø·¸¿ô¤Îµ÷Î¥°Í¸¡×¤È¤¤¤¦¹Í¤¨Êý¤Ç¤¢¤ë¡£¤½¤ì¤ËÂФ·¡¢²æ¡¹¤Ï°ÊÁ°¤Î¸¦µæ¤Ë¤ª¤¤¤Æ¡¢¥é¥ó¥À¥à¶ÊÌÌ¥â¥Ç¥ë¤È¤¤¤¦¡¢¥é¥ó¥À¥à¤ËÊѲ½¤¹¤ë¶ÊÌ̤οô³Ø¥â¥Ç¥ë¤òÄ󾧤·¤¿¡£¤³¤Î¥â¥Ç¥ë¤Î¸¦µæ¤òÄ̤·¤Æ¡¢½¾Íè¤Î¹Í¤¨¤Ç¤¢¤ë¡¢¡ÖÁê´Ø·¸¿ô¤Îµ÷Î¥°Í¸¡×¤ÎÌäÂêÅÀ¤òÌÀ¤é¤«¤Ë¤·¤¿¡£¤¸¤Ä¤Ï½¾Íè¤Î¹Í¤¨Êý¤Ï¡¢¥é¥ó¥À¥à¶ÊÌÌ¤ÎÆÃÀ­¤ò´°Á´¤Ëɽ¤·¤Æ¤¤¤Ê¤¤¤Î¤Ç¤¢¤ë¡£¤³¤ì¤¬ÌäÂê²ò·è¤ÎÊɤˤʤäƤ¤¤ë¡£¤³¤ì¤ËÂФ·¡¢¿·¤¿¤Ê²ò¤È¤·¤Æ¥é¥ó¥À¥à¶ÊÌÌ¥â¥Ç¥ë¤òÄ󾧤¹¤ë¡£

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Pagepp. 311 - 313
Keyword ¥·¥¹¥Æ¥àLSI, ¤Ð¤é¤Ä¤­, Àß·×µ»½Ñ
Abstract45nmÀ¤Âå¤Î¥·¥¹¥Æ¥àLSIÀ߷פǤϤФé¤Ä¤­Î̤ò¹Íθ¤·,À­Ç½¡¦µ¡Ç½¤òÊݾڤ¹¤ëɬÍפ¬À¸¤¸¤Æ¤¤¤ë¡¥ÈùºÙ²½¤Ëȼ¤¤,¤Ð¤é¤Ä¤­Î̤¬Â礭¤¯¤Ê¤Ã¤Æ¤¤¤ë¤¿¤á,¤Ð¤é¤Ä¤­¹Íθ¤ÎÀ߷פ¬¤Þ¤¹¤Þ¤¹½ÅÍפˤʤäƤ¤¤ë¡¥¤½¤³¤ÇËܹƤǤϤФé¤Ä¤­¹Íθ¤ÎÀß·×,ÆÃ¤ËLSI¤ÎÀ­Ç½¤ò·è¤á¤ë¥¿¥¤¥ß¥ó¥°²òÀϤ˾ÇÅÀ¤ò¤¢¤Æ,¸½¾õ»È¤ï¤ì¤Æ¤¤¤ëµ»½Ñ,¤Þ¤¿¾­Íè»È¤ï¤ì¤ë²ÄǽÀ­¤Î¤¢¤ëµ»½Ñ¤Î¾Ò²ð,¤Ê¤é¤Ó¤Ëº£¸å¤Î²ÝÂê¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë¡¥


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Æü»þ: 2008ǯ4·î22Æü(²Ð) 10:30-12:20
ºÂĹ: ¿ÀÌî ·òºÈ (´ØÅì³Ø±¡Âç³Ø)

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Pagepp. 315 - 320
Keyword ưŪÆÌË¡ÌäÂê, ¾å²¼Ë¡, °ÂÄê²òÀÏ, °ÂÄê²½, ¹´Â«·Ï¤ÎÀ©¸æ
Abstract¹´Â«·Ï¤ÎÀ©¸æ¤Ë¤ª¤¤¤ÆÂ礭¤ÊÌò³ä¤ò²Ì¤¿¤¹ºÇÂç½ÐÎϵöÍÆ½¸¹ç¤Î»»½Ð¤äÅÀ¤ÈÆÌ¿ÌÌÂΤÎÊñ´Þ´Ø·¸¤ÎȽÄê¤Ê¤ÉÀ©¸æ·Ï¤Î²òÀÏ¡¦Àß·×ÌäÂê¤Ë¤ª¤¤¤ÆÆ°ÅªÆÌÊñÌäÂê¤ò²ò¤¯É¬Íפ¬¤·¤Ð¤·¤Ð¤¢¤ë¡¥ ưŪÆÌË¡»»Ë¡¤Ï¡¤½ç¼¡²Ã¤¨¤ë¤Ù¤­ÅÀ¤¬Í¿¤¨¤é¤ì¤ë¾ì¹ç¤Ë¤½¤ì¤é¤ò²Ã¤¨¤¿ÆÌÊñ¤ò½ç¼¡·×»»¤¹¤ëÊýË¡¤Ç¤¢¤ë¡¥ ËÜʸ¤Ç¤Ï¡¤Æ°ÅªÆÌË¡»»Ë¡¤Î1¤Ä¤Ç¤¢¤ë¾å²¼Ë¡¤È¤½¤Î±þÍѤˤĤ¤¤Æ¾Ò²ð¤¹¤ë¡¥¸µ¡¹¤Î¾å²¼Ë¡¤ÏÆÌ¿ÌÌÂΤΥե§¥¤¥¹¥°¥é¥Õ¤òÍѤ¤¤ëÊýË¡¤Ç¤¢¤ë¤¬¡¤¶õ´Ö¤Î¼¡¸µ¤¬Â礭¤¯¤Ê¤ë¤È¥Õ¥§¥¤¥¹¤Î¿ô¤¬ÇúȯŪ¤ËÁýÂ礹¤ë¤È¤¤¤¦ÌäÂ꤬¤¢¤ë¡¥¤³¤ÎÌäÂêÅÀ¤ò´ËϤ¹¤ë¤¿¤á¤Ë¥Õ¥§¥¤¥¹¥°¥é¥Õ¤Î°ìÉô¤À¤±¤òÍѤ¤¤ëÊýË¡¤ò¾Ò²ð¤¹¤ë¡¥

Âê̾Growing Particle Swarm Optimizers with Tree Topology
Ãø¼Ô *Eiji Miyagawa, Toshimichi Saito(Hosei University)
Pagepp. 321 - 324
Keyword Particle Swarm Optimization, Optimization, Grow-and-reduce ability
AbstractThis paper presents an improved version of PSO having grow-and-reduce structure. When a particle is trapped into a local optimum, a new particle is born at a position away from the trap and is connected to some/all of existing particles. If a particle can not escape from the trap, the particle is deleted in order to suppress excessive swarm grows. We have adopted two basic population topology: complete graph and tree. Performing basic numerical experiments, the algorithm performance is investigated.

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Ãø¼Ô *¾¾²¼ ½ÕÆà, À¾Èø ˧ʸ(ÆÁÅçÂç³Ø)
Pagepp. 325 - 330
Keyword ¼«¸ÊÁÈ¿¥²½¥Þ¥Ã¥×¡ÊSOM¡Ë, ¶µ»Õ̵¤·¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯, ¥¯¥é¥¹¥¿¥ê¥ó¥°
AbstractËܸ¦µæ¤Ç¤Ï¡¤¥Ë¥å¡¼¥í¥ó´Ö¤Î¸í¤ê¶á˵ÅÙ¤ò¹Íθ¤¹¤ë¼«¸ÊÁÈ¿¥²½¥Þ¥Ã¥×¡ÊSOM with False-Neighbor degree between neurons: FN-SOM¡Ë¤òÄ󰯤¹¤ë¡¥¸í¤ê¶á˵ÅÙ¤ÏFN-SOM¤Î¥Ë¥å¡¼¥í¥ó¤Î¹Ô´Ö¤ÈÎó´Ö¤Ë³ä¤êÅö¤Æ¤é¤ì¤Æ¤¤¤ë¡¥¸í¤ê¶á˵Å٤νé´üÃͤÏ0¤ËÀßÄꤵ¤ì¤ë¤¬¡¤³Ø½¬¤È¶¦¤Ë½ù¡¹¤ËÁý²Ã¤·¡¤½Å¤ß¥Ù¥¯¥È¥ë¹¹¿·¤ÎºÝ¤Ë¥Þ¥Ã¥×¾å¤Î¥Î¡¼¥É´Ö¤Îµ÷Î¥¤Î½Å¤ß¤È¤·¤ÆºîÍѤ¹¤ë¤³¤È¤Ç¡¤FN-SOM¤Ï¾õ¶·¤ÈÆþÎϥǡ¼¥¿¤Î·Á¤Ë¤è¤Ã¤Æ¶á˵´Ø·¸¤ò½ÀÆð¤ËÊѲ½¤µ¤»¤Æ³Ø½¬¤¹¤ë¡¥FN-SOM¤òÍÍ¡¹¤Ê¥Ç¡¼¥¿¤ËÂФ·¤ÆÅ¬ÍѤ·¡¤FN-SOM¤Î¿¶¤ëÉñ¤¤¤òÄ´ºº¤¹¤ë¡¥¤Þ¤¿¤½¤Î·ë²Ì¤ò¿ôÃÍŪ¤Ë¤âɾ²Á¤·¡¤FN-SOM¤¬ÆþÎϤÎʬÉÛ¾õÂÖ¤òºÇ¤âÈ¿±Ç¤·¤¿¥Þ¥Ã¥×¤òÆÀ¤ë¤³¤È¤ò³Îǧ¤¹¤ë¡¥


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Æü»þ: 2008ǯ4·î22Æü(²Ð) 13:10-14:00
ºÂĹ: Àõ°æ ½¨¼ù (ÀŲ¬Âç³Ø)

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Pagepp. 331 - 336
Keyword ¼õưÉôÉÊ, ÅŸ», ¥â¥Ç¥ê¥ó¥°
AbstractËÜÏÀʬ¤Ç¤ÏɽÌ̼ÂÁõ·¿¼õưÉôÉʤΥâ¥Ç¥ê¥ó¥°¼êË¡¤òÄ󰯤¹¤ë¡£ ËܼêË¡¤Ç¤Ï´óÀ¸¥¤¥ó¥À¥¯¥¿¥ó¥¹¤òÀµ³Î¤ËºÆ¸½¤Ç¤­¤ë¤è¤¦¤Ë¡¢¼õưÉôÉʤò¼ÂÁõ¤¹¤ëPCB(Princ Circuit Board)¤Î¥°¥é¥ó¥É¥ì¥¤¥¢¥¦¥È¤Ë±þ¤¸¤¿Ê£¿ô¤Î2¥Ý¡¼¥È¥â¥Ç¥ë¤òºîÀ®¤¹¤ë¡£ ¤³¤ì¤é¤Î¥â¥Ç¥ë¤ò¼õưÉôÉʥ᡼¥«¤¬Ä󶡤¹¤ë¤³¤È¤Ç½¾Íè¥â¥Ç¥ë ¤ÈÈæ³Ó¤·¤Æ´ÊÊØ¤µ¤ò»¤Ê¤¦¤³¤È¤Ï¤Ê¤¤¡£ ¤µ¤é¤Ë¡¢¼õưÉôÉʤÈPCB¤òÆÈΩ¤·¤Æ¥â¥Ç¥ê¥ó¥°¤¹¤ë¤³¤È¤Ëµ¯°ø¤·¤ÆÌµ»ë¤µ¤ì¤ëÅż§·ë¹ç¤äÉÔÍפʴóÀ¸¥¤¥ó¥À¥¯¥¿¥ó¥¹¤ÎÊäÀµ¼êË¡¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë¡£ËܼêË¡¤ÎÀºÅÙ¤ÈÍ­¸úÀ­¤Ë¤Ä¤¤¤Æ¡¢ÅŸ»Ì֤βòÀÏÎã¤Ë¤è¤ê³Îǧ¤¹¤ë¡£

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Pagepp. 337 - 342
Keyword FDTDË¡, FITË¡, CFS-PML, ²óÏ©¥·¥ß¥å¥ì¡¼¥¿
AbstractMaxwell¤ÎÊýÄø¼°¤òÎ¥»¶²½¤·¤Æ¿ôÃÍŪ¤Ëµá²ò¤¹¤ëÊýË¡¤È¤·¤Æ»þ´ÖÎΰèÍ­¸Âº¹Ê¬Ë¡(FDTDË¡)¤¬¹­¤¯»ÈÍѤµ¤ì¤Æ¤¤¤ë¡£¤·¤«¤·Â絬ÌϤʲòÀϤò¹Ô¤¦¤¿¤á¤Ë¤Ï̤Ãοô¤äÎ¥»¶²½·¸¿ô¤ò·×»»µ¡¥á¥â¥ê¤ËÂçÎ̤ËÊÝ»ý¤¹¤ëɬÍפ¬¤¢¤ê¡¢²òÀÏÂоݤÎÃæ¤ËÈùºÙ¹½Â¤¤¬´Þ¤Þ¤ì¤ë¤È»þ´Ö¹ï¤ß¤ò¶Ëü¤Ë¾®¤µ¤¯¤È¤ëɬÍפ¬¤¢¤ë¤¿¤á¡¤·×»»µ¡¥á¥â¥ê¤È¤È¤â¤Ë±é»»Î̤âÁýÂ礹¤ë¡¥ ËܹƤǤϡ¢°ì¼¡¥Û¥¤¥Ã¥È¥Ë¡¼Í×ÁǤòÍѤ¤¤¿¡¤ÀÑʬ·Á¼°¤«¤é¤ÎÄê¼°²½¤Ç¤¢¤ëÍ­¸ÂÀÑʬˡ(FITË¡)¤¬¿ôÃͲòÀÏ¥×¥í¥°¥é¥à¤Î¼ÂÁõ¾å¡¤¥á¥â¥ê¸úΨ¤ä²òÀÏ®Å٤δÑÅÀ¤«¤éFDTDË¡¤ËÂФ·¤ÆÍ¥°ÌÀ­¤¬¤¢¤ë¤³¤È¤ò¼¨¤·¡¢¤µ¤é¤ËÅù²Á²óϩɽ¸½¤Ë¤è¤ê¼õưÁÇ»Ò¤È¤ÎÆ±»þ²òÀϤ¬LIMË¡¤Ê¤É¤Ç¸ú²ÌŪ¤Ë¹Ô¤¨¤ë¤³¤È¤ò¼¨¤¹¡£


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Æü»þ: 2008ǯ4·î22Æü(²Ð) 14:10-14:55
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Pagepp. 343 - 348
Keyword ¥×¥í¥»¥Ã¥µ, Äã¾ÃÈñÅÅÎÏÀß·×, Ì¿Î᥻¥Ã¥È¥·¥ß¥å¥ì¡¼¥¿, ¸«ÀѤâ¤ê
AbstractËܹƤǤϡ¢É®¼Ô¤é¤ÎÄ󰯤¹¤ë¥½¥Õ¥È¥¦¥§¥¢¥Ç¥Ð¥Ã¥¬¥Ù¡¼¥¹¤Î¾ÃÈñ¥¨¥Í¥ë¥®¡¼²òÀϼêË¡¤ò¾Ò²ð¤¹¤ë¡£Áȹþ¤ß¥½¥Õ¥È¥¦¥§¥¢Àß·×¼Ô¤¬Àß·×»þ¤Ë¾ÃÈñ¥¨¥Í¥ë¥®¡¼¤ò²òÀϤǤ­¤ë´Ä¶­¤Î¹½ÃÛ¤òÌÜɸ¤È¤·¤Æ¤¤¤ë¡£¥ë¥Í¥µ¥¹¥Æ¥¯¥Î¥í¥¸¼Ò¤Ç³«È¯¤µ¤ì¤¿M32R-II¥×¥í¥»¥Ã¥µ¤ÈSH3-DSP¤òÂоݤˤ·¤¿¼Â¸³¤Ç¡¢¥½¥Õ¥È¥¦¥§¥¢¥Ç¥Ð¥Ã¥¬¤Ë¤è¤ê¹â®¤ÊÅÅÎϸ«ÀѤâ¤ê¤¬¹Ô¤¨¤ë¤³¤È¤ò³Îǧ¤·¤¿¡£ÅÅÎϸ«ÀѤâ¤ê¸íº¹¤Ï¥²¡¼¥È¥ì¥Ù¥ë¤ÈÈæ³Ó¤·¤Æ7%̤Ëþ¤Ç¤¢¤Ã¤¿¡£¤Þ¤¿¡¢¤³¤Î¸«ÀѤâ¤ê¼êË¡¤òÄãÅÅÎϻظþ¤Î¥³¥ó¥Ñ¥¤¥éºÇŬ²½µ»½Ñ¤Ë±þÍѤ·¤¿Îã¤â¹ç¤ï¤»¤Æ¾Ò²ð¤¹¤ë¡£


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Æü»þ: 2008ǯ4·î22Æü(²Ð) 15:05-17:10
ºÂĹ: Ä»»ô ¹°¹¬ (ÂçºåÂç³ØÂç³Ø±¡´ðÁù©³Ø¸¦µæ²Ê)

Âê̾ÊÂÎó²½Buck¥³¥ó¥Ð¡¼¥¿¤Ë´ð¤Å¤¯¶èʬÄê¿ô¥â¥Ç¥ë¤Î°ÂÄêÀ­¤Ë¤Ä¤¤¤Æ
Ãø¼Ô *ÌÚ¼ ÂçÍ´(Ë¡À¯Âç³Ø¹©³ØÉô¾ðÊóÅŵ¤ÅŻҹ©³Ø²Ê), ÀÐÀî ͵¸Ê, ºØÆ£ ÍøÄÌ(Ë¡À¯Âç³Ø)
Pagepp. 349 - 352
Keyword DC/DC¥³¥ó¥Ð¡¼¥¿, ¶èʬÄê¿ô¥â¥Ç¥ë, °ÌÁê¥Þ¥Ã¥×, °ÂÄêÀ­
AbstractDC/DC Converter¤Ë´ð¤Å¤¯¶èʬÄê¿ô¥â¥Ç¥ë¤Î°ÂÄêÀ­¤ò¹Í»¡¤¹¤ë¡£ ¤Þ¤º¡¢Ã±ÂΤÎBuck converter¤Ë´ð¤Å¤¤¤¿¶èʬÄê¿ô¥â¥Ç¥ë¤ò°ÌÁê¥Þ¥Ã¥×¤òÍѤ¤¤Æ¹Í»¡¤¹¤ë¡£¼¡¤Ë¤³¤Î¶èʬÄê¿ô¥â¥Ç¥ë¤ÎÊÂÎó·Ï¤Î°ÂÄêÆ°ºîÎΰè¤òÌÀ¤é¤«¤Ë¤¹¤ë¡£

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Ãø¼Ô Ê¡±Ê °¦, *Æ£ËÜ ·û»Ô, µÈ±Ê ůºÈ(ÆÁÅçÂç³Ø)
Pagepp. 353 - 358
Keyword ¶¯ÅÙÊÑÄ´Êü¼ÍÀþ¼£ÎÅ, Åù²Á¶Ñ°ìÀþÎÌ, ºÇŬ²½¸ûÇÛ·Ï, ÎϳØÅªÀ­¼Á, ʬ´ô¸½¾Ý
Abstract¶¯ÅÙÊÑÄ´Êü¼ÍÀþ¼£ÎÅ(IMRT)¤Ë¤è¤ë¼£Îŷײè¤ÏÊü¼ÍÀþ¥Ó¡¼¥à·¸¿ô¤Ë´Ø¤¹¤ëÌÜɸ´Ø¿ô¤ÎºÇ¾®²½ÌäÂê¤Ëµ¢Ã夵¤ì¤ë¡¥³ÎÄêŪÊýË¡¤Î¤¦¤Á¡¤ÌÜɸ´Ø¿ô¤ò¸ûÇÛË¡¤Ë¤è¤êºÇŬ²½¤¹¤ëÊýË¡¤¬·×»»Â®Å٤θúΨÀ­¤Ê¤É¤«¤éÎ×¾²¤Ç¤Î¼Â»Ü¤Ë¿ä¾©¤µ¤ì¤Æ¤¤¤ë¡¥Ëܸ¦µæ¤ÎÌÜŪ¤Ï¡¤Åù²Á¶Ñ°ìÀþÎÌ(EUD)¤Ë´ð¤Å¤¤¤¿ÌÜɸ´Ø¿ô¤Ë¤è¤ëIMRTºÇŬ²½¸ûÇÛË¡¤òÎ¥»¶»þ´ÖÎϳطϥâ¥Ç¥ë¤È¤·¤ÆÄê¼°²½¤·¡¤ÎϳØÅªÀ­¼Á¤ËÃåÌܤ·¤¿¥â¥Ç¥ë¤Î²òÀϤò¹Ô¤¦¤³¤È¤Ë¤è¤ê¡¤IMRT·×²è¤ÎÍ­¸ú¤ÊÀß·×ÊýË¡¤ò³«È¯¤¹¤ë¤³¤È¤Ë¤¢¤ë¡¥ËÜÏÀʸ¤Ç¤Ï¡¤¥¿¡¼¥²¥Ã¥ÈÎΰè¤ä¥Ó¡¼¥àÊý¸þ¤Ë¤è¤ë¹½Â¤ÊѲ½¤¬¶ñÂÎŪIMRT¸ûÇ۷ϤÎÎϳØÅªÀ­¼Á¤ËÍ¿¤¨¤ë±Æ¶Á¤ò¡¤ÄêÀ­ÅªÎϳطÏÍýÏÀ¤òÍѤ¤¤¿Ê¬´ô²òÀϤòÄ̤·¤Æ¸¡Æ¤¤·¤¿¡¥

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Pagepp. 359 - 362
Keyword AC-DC ¥³¥ó¥Ð¡¼¥¿, °ì¼¡¸µ¥ê¥¿¡¼¥ó¥Þ¥Ã¥×, ʬ´ô¸½¾Ý
AbstractËÜÏÀʸ¤Ç¤Ï¡¢AC-DC ¥³¥ó¥Ð¡¼¥¿¤Ë2¼ïÎà¤Î¥¹¥¤¥Ã¥Á¥ó¥°Â§¤òÍѤ¤¤Æ¹Í»¡¤¹¤ë¡£´Êñ²½¤Î¤¿¤á¤ËÅ۵¤ÎÊѲ½¤ËÂФ·¤Æ¥¹¥¤¥Ã¥Á¥ó¥°¼þÇÈ¿ô¤¬¹â¤¤¤È²¾Äꤹ¤ë¤È½ÐÎϦ¤ÎÉé²Ù¤ÏÄêÅ۵¸»¤È¤·¤Æ¹Í¤¨¤ë¤³¤È¤¬¤Ç¤­¤ë¡£¤Þ¤¿¡¢¥³¥ó¥Ð¡¼¥¿¤Î¥¹¥¤¥Ã¥Á¥ó¥°»þ´Ö¤ËÃåÌܤ·¤¿°ì¼¡¸µ¥ê¥¿¡¼¥ó¥Þ¥Ã¥×¤òÍѤ¤¤Æ²òÀϤò¹Ô¤¦¡£¤³¤Î¥Þ¥Ã¥×¤Ë¤è¤êAC-DC ¥³¥ó¥Ð¡¼¥¿¤Î¸·Ì©¤Ê²òÀϤ¬²Äǽ¤È¤Ê¤ê¡¢Åµ·¿Åª¤Ê¼þ´ü²ò¤ä¥«¥ª¥¹¡¢¤½¤ì¤é¤Ë´ØÏ¢¤·¤¿Ê¬´ô¸½¾Ý¤ò²òÀϤǤ­¤ë¡£

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Ãø¼Ô *Éðé¶ Èþ½ï(ÆÁÅçÂç³ØÂç³Ø±¡ÊÝ·ò²Ê³Ø¶µ°éÉô), Æ£ËÜ ·û»Ô, µÈ±Ê ůºÈ(ÆÁÅçÂç³ØÂç³Ø±¡¥Ø¥ë¥¹¥Ð¥¤¥ª¥µ¥¤¥¨¥ó¥¹¸¦µæÉô)
Pagepp. 363 - 368
Keyword ÈóÀþ·ÁÌäÂê, Î¥»¶»þ´ÖÎϳطÏ, ¥Ë¥å¡¼¥í¥ó·ë¹ç·Ï, ʬ´ô, ¿ôÍý¥â¥Ç¥ë
AbstractÎ¥»¶»þ´ÖÎϳطϤǤ¢¤ë¥«¥ª¥¹¡¦¥Ë¥å¡¼¥í¥ó·ë¹ç·Ï¤Ë¤ª¤¤¤Æ¿¶Æ°Åª±þÅú¤¬¤ß¤é¤ì¤ë¤³¤È¤ò¼¨¤¹¡¥ÈùʬÊýÄø¼°·Ï¤Ë¤ß¤é¤ì¤ë¿¶Æ°²ò¤ÈÎà»÷¤ÎÇÈ·Á¤òÎ¥»¶»þ´ÖÎϳطϤǺƸ½¤Ç¤­¤ë¤³¤È¤Ï¡¤¥Ë¥å¡¼¥í¥ó¡¦¥â¥Ç¥ë¤Î¿ôÃÍ·×»»±þÍѤˤª¤¤¤Æ¡¤·×»»½èÍý®Å٤ι⮲½¤ò¿Þ¤ë¤³¤È¤¬²Äǽ¤È¤Ê¤ë¤À¤±¤Ç¤Ê¤¯¡¤¿ôÃÍÀÑʬ¤Î¸íº¹¤¬À¸¤¸¤Ê¤¤¤³¤È¤«¤é¸½¾Ý¤ÎºÆ¸½À­¤¬¸þ¾å¤¹¤ëÍøÅÀ¤¬¤¢¤ë¡¥ËÜÊó¹ð¤Ç¤Ï¡¤2¸Ä¤ª¤è¤Ó3¸Ä¤Î¥«¥ª¥¹¡¦¥Ë¥å¡¼¥í¥óÁǻҤò·ë¹ç¤·¤¿·Ï¤òÂоݤȤ·¤Æ¡¤Å¬Àڤʥѥé¥á¡¼¥¿ÀßÄê¤Î²¼¤ËÌÜŪ¤Î¿¶Æ°±þÅú¤¬¤ß¤é¤ì¤ë¤³¤È¤ò¼¨¤·¡¤¼þ´üÅÀ¤Îʬ´ô²òÀϤˤè¤ê¡¤¿¶Æ°±þÅú¤ÎȯÀ¸µ¡¹½¤ä¸ºß¥Ñ¥é¥á¡¼¥¿ÈϰϤòÌÀ¤é¤«¤Ë¤¹¤ë¡¥

Âê̾Inter-Spike Interval Characteristics of Piecewise Constant Chaotic Spiking Oscillators
Ãø¼Ô *Tomonari Hasegawa, Yusuke Matsuoka, Toshimichi Saito(Hosei University)
Pagepp. 369 - 372
Keyword Chaos, Inter-Spike-Intervals, Bifurcation
AbstractThis paper studies dynamics of a simple chaotic spiking oscillator having piecewise constant characteristics. We have investigated characteristics of inter-spike intervals (ISIs) and have found interesting properties: "The system can output chaotic spike-trains characterized by line-like spectrums of ISIs. Such phenomena and chaos with continuous spectrum appear alternately and make window-like structure in the parameter space.


¥»¥Ã¥·¥ç¥ó Ba2-1 ÅŸ»²óÏ©
Æü»þ: 2008ǯ4·î22Æü(²Ð) 9:00-10:15
ºÂĹ: ¾¾Ã« ¹¯Ç· (ÀÄ»³³Ø±¡Âç³Ø)

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Ãø¼Ô *¿¹ °Îʸ¼ù, »³ÅÄ ²Â±û, Santhos Ario Wibowo(·²ÇÏÂç³Ø Âç³Ø±¡ ¹©³Ø·Ï¸¦µæ²Ê Åŵ¤ÅŻҹ©³ØÀì¹¶), ¸÷Ìî Àµ»Ö, ¾®ÎÓ ½ÕÉ×, ¹â°æ ¿­ÏÂ, ƣ¼ À¬¹°(·²ÇÏÂç³ØÂç³Ø±¡ ¹©³Ø·Ï¸¦µæ²Ê Åŵ¤ÅŻҹ©³ØÀì¹¶), ¿ù»³ ¼÷ÃË, ¿¼°æ ¸ù, ÂçÀ¾ ¶µµ×, ÃÝÅÄ °ìϺ, ¾¾ÅÄ ½ç°ì(Åì¸÷¡Ê³ô¡ËȾƳÂλö¶È¥»¥ó¥¿¡¼)
Pagepp. 373 - 378
Keyword ¥Ç¥¸¥¿¥ëÅŸ», £Ð£×£ÍÀ©¸æ, ¥¹¥Ú¥¯¥È¥ë³È»¶¥¯¥í¥Ã¥¯, £Å£Í£É
Abstract¥Ç¥¸¥¿¥ëÀ©¸æÅŸ»¤Ë¤ª¤¤¤Æ EMIÄ㸺¤Î¤¿¤á¤Î¥¹¥Ú¥¯¥È¥ë³È»¶¥¯¥í¥Ã¥¯ ¤ÎÊÑÄ´¥¢¥ë¥´¥ê¥º¥à¤òÄ󰯤¹¤ë. ¥¹¥¤¥Ã¥Á¥ó¥°ÅŸ»¤Ç¤ÎPWMÊÑÄ´Êý¼°¤Ï,¥¯¥í¥Ã¥¯¤ª¤è¤Ó¤½¤Î¹âÄ´ÇȤΠÆÃÄê¼þÇÈ¿ô¤Ë¥¹¥¤¥Ã¥Á¥ó¥°¥Î¥¤¥º¤ä¹âÄ´ÇȥΥ¤¥º¤¬½¸Ã椷EMIÌäÂê¤Ë¤Ê¤ë. ¤³¤ÎÌäÂêÄ㸺¤Î¤¿¤á¥¹¥Ú¥¯¥È¥é¥à³È»¶¥¯¥í¥Ã¥¯ÊÑÄ´¤¬ÍѤ¤¤é¤ì¤ë. ½¾Íè¤Î¥¢¥Ê¥í¥°À©¸æÊý¼°¤Ç¤Ï ¼Â¸½¤¬Æñ¤·¤«¤Ã¤¿Ê£»¨¤Ê¥¹¥Ú¥¯¥È¥ë³È»¶¥¯¥í¥Ã¥¯¤Î¥¢¥ë¥´¥ê¥º¥à ¤ò¥Ç¥¸¥¿¥ëÀ©¸æ²óÏ©Éô¤Ë¤ª¤¤¤Æ¼Â¸½¤¹¤ë¤³¤È¤Ë¤è¤ê, ½¾Íè¤è¤êEMIÄ㸺¤¬¸ú²ÌŪ¤Ç¤¢¤ë¤³¤È¤ò ¼¨¤¹. ¤½¤ÎÄó°ÆÊÑÄ´Êý¼°¤Î¥¢¥ë¥´¥ê¥º¥à, ÅŸ»¥·¥ß¥å¥ì¡¼¥¿¡Ê£Ó£Ã£Á£Ô¡Ë¤Ë¤è¤ë¥·¥ß¥å¥ì¡¼¥·¥ç¥ó·ë²Ì¤ò½Ò¥Ù¤ë.

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Ãø¼Ô *ÄÅ·¨ ϼù(·§ËÜÅÅÇȹ©¶È¹âÅùÀìÌç³Ø¹»), ¹¾¸ý ·¼(ÀŲ¬Âç³Ø), »ûÅÄ ¿¸Ìé, ÂçÅÄ °ìϺ(·§ËÜÅÅÇȹ©¶È¹âÅùÀìÌç³Ø¹»)
Pagepp. 379 - 384
Keyword DC-AC, Switched-Capacitor
Abstract¥¹¥¤¥Ã¥Á¥È¥­¥ã¥Ñ¥·¥¿¡Ê°Ê²¼SC¤Èά¤¹¡Ë¥³¥ó¥Ð¡¼¥¿¤òÍѤ¤¤¿ÅŸ»¤Ï¡¤¥È¥é¥ó¥¹¤ä¥³¥¤¥ëÅù¤òÍѤ¤¤Ê¤¤¤³¤È¤«¤éIC²½¤¹¤ë¤³¤È¤¬²Äǽ¤Ç¡¤¾®·Á¡¦·ÚÎ̤Ȥ¤¤¦ÆÃŤòÍ­¤·¤Æ¤¤¤ë¡¥¤³¤ì¤Þ¤Ç¤ÎSC DC-AC¥³¥ó¥Ð¡¼¥¿¤Ïľή¤ò³¬ÃÊÇȤˤ¹¤ë¤³¤È¤Ç¸òή½ÐÎϤòÆÀ¤Æ¤¤¤¿¤¬¡¤¼ÂºÝ¤Ë³¬ÃÊÇȤò¾¦ÍÑÅŸ»¤È¤·¤ÆÍѤ¤¤ë¤Î¤Ïº¤Æñ¤Ç¤¢¤ë¡¥¤½¤Î¤¿¤á¡¤ËܹƤǤϡ¤¥ì¥®¥å¥ì¡¼¥¿¤òÍѤ¤¤Æ³¬ÃÊÇȤòÍýÁÛŪ¤ÊÀµ¸¹Çȸòή¤Ë¤¹¤ë¡¥¤Þ¤¿¡¤³¬ÃÊÇȤÎÃÊ¿ô¤Ï¥­¥ã¥Ñ¥·¥¿¤Î¿ô¤Ë°Í¸¤·¤Æ¤¤¤¿¡¥ËܹƤǤϡ¤¥³¥ó¥Ð¡¼¥¿¤ò2Ãʤˤ¹¤ë¤³¤È¤Ë¤è¤ê½¾Íè²óÏ©¤ËÈæ¤ÙƱ¤¸¥­¥ã¥Ñ¥·¥¿¤Î¿ô¤Ç¤è¤êºÙ¤«¤¤³¬ÃʤòÍ­¤¹¤ë³¬ÃÊÇȤòºî¤ì¤ë¤È¤¤¤¦ÆÃŤò¤â¤Ã¤Æ¤¤¤ë¡¥¤½¤Î¤¿¤á¡¤¥ì¥®¥å¥ì¡¼¥¿¤òÄ̲᤹¤ëºÝ¤Î»¼º¤¬¸º¤ê¹â¸úΨ²½¤¬¿Þ¤ì¤ë¡¥

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Ãø¼Ô *¿À¸Í ¾Ï¹¨, ¶âÅÄ ²í¿Í, Ìý°æ »Ëŵ, ¾®ÎÓ ½ÕÉ×, ¹â°æ ¿­ÏÂ(·²ÇÏÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê Åŵ¤ÅŻҹ©³ØÀì¹¶), »Ö¼ ε¹¨, Ê¿ÅÄ ¿Î»Î, »³´ß ·òÂÀϺ(½»Í§Åŵ¤¹©¶È³ô¼°²ñ¼Ò)
Pagepp. 385 - 390
Keyword ¥Ñ¥ï¡¼¥¢¥ó¥×, ̵Àþ´ðÃ϶É, ÊñÍíÀþÄÉÀ×ÅŸ»
AbstractËÜÏÀʸ¤Ç¤Ï´ðÃ϶ɥѥ¥¢¥ó¥×ÍѤιâ¸úΨ¤Ç¤«¤Ä¹­ÂÓ°è¤ÊÊñÍíÀþÄÉÀ×ÅŸ»²óÏ©¤Î¿·¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤òÊó¹ð¤¹¤ë¡£½¾Íè¤Î²óÏ©¹½À®¤Ç¤Ï¸úΨ¤ÈÂӰ褬¥È¥ì¡¼¥É¥ª¥Õ¤Î´Ø·¸¤Ë¤Ê¤Ã¤Æ¤ª¤ê¡¢ÂÓ°è¤ò±ä¤Ð¤¹¤Ë¤Ï¸úΨ¤òµ¾À·¤Ë¤¹¤ëɬÍפ¬¤¢¤Ã¤¿¡£º£²ó¤ÎÄ󰯲óÏ©¤Ç¤Ï¥ª¥Ú¥¢¥ó¥×¤Ë²Ã¤¨¤ÆÊ£¿ô¤Î¥¤¥ó¥À¥¯¥¿¤È¥Ò¥¹¥Æ¥ê¥·¥¹¥³¥ó¥Ñ¥ì¡¼¥¿¤òÍѤ¤¤ë¤³¤È¤Ç¡¢¹â¸úΨ¤È¹­ÂÓ°è¤ÎξΩ¤ò²Äǽ¤Ë¤·¤¿¡£


¥»¥Ã¥·¥ç¥ó Ba2-2 ¥»¥ó¥µ
Æü»þ: 2008ǯ4·î22Æü(²Ð) 10:30-11:45
ºÂĹ: ¹â°æ ¿­Ï (·²ÇÏÂç³Ø)

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Ãø¼Ô *»³²¼ ÂóÌé(Ãæ±ûÂç³Ø Íý¹©³ØÉô), ¹â·¦ ¤«¤ò¤ê(ÌÀ¼£Âç³Ø Íý¹©³ØÉô), ¹â·¦ Åý(Ãæ±ûÂç³Ø Íý¹©³ØÉô)
Pagepp. 391 - 396
Keyword ²¹ÅÙ-¥Ñ¥ë¥¹ÉýÊÑ´¹²óÏ©, ²¹ÅÙ¥»¥ó¥µ, CMOS
Abstract¡¡ËܹƤǤÏ, ·ÈÂÓµ¡´ï¤ËÍѤ¤¤ë¥³¥ó¥Ñ¥¯¥È¤Ê¥¹¥Þ¡¼¥È²¹ÅÙ¥»¥ó¥µ¤Î¼Â¸½¤Ë¸þ¤±¤Æ, ÅŸ»Å۵°Í¸À­¤ÎÄ㤤²¹ÅÙ-¥Ñ¥ë¥¹ÉýÊÑ´¹²óÏ©¤òÄ󰯤¹¤ë. Ä󰯲óÏ©¤ÏÅÅή¥³¥ó¥Ñ¥ì¡¼¥¿¤Î¤·¤­¤¤Å۵¤Î²¹Åٰ͸À­¤òÍøÍѤ·¤Æ²¹ÅÙ-¥Ñ¥ë¥¹ÉýÊÑ´¹¤ò¹Ô¤¦. ²¹ÅÙ-¥Ñ¥ë¥¹ÉýÊÑ´¹¤Ë¤ª¤¤¤ÆÅŸ»Å۵¤Ë°Í¸¤¹¤ëÍ×ÁǤò´Þ¤Þ¤Ê¤¤¤¿¤áÅŸ»Å۵°Í¸À­¤ÏÄ㤤. SPICE¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤êÄ󰯲óÏ©¤ÎÀ­Ç½É¾²Á¤ò¹Ô¤¦.

Âê̾SOI-MOSFET¤òÍøÍѤ·¤¿Ç½Æ°·¿¤Ò¤º¤ß¸¡½ÐÁÇ»Ò
Ãø¼Ô *¸¶ÅÄ ÃοÆ, ¿Àë ͪ²ð, ÀÐß· ½ã°ì, ±ü»³ À¡Íº, ¾¾²¼ ¹À°ì(»³·ÁÂç³ØÂç³Ø±¡Íý¹©³Ø¸¦µæ²Ê)
Pagepp. 397 - 402
Keyword SOI-MOSFET, ¤Ò¤º¤ß¸¡½ÐÁÇ»Ò, ¥»¥ó¥µ
Abstract¥¬¥¹°µÎϤ俿¶õÅ٤άÄê¤ËÍѤ¤¤ë°µÎÏ¥»¥ó¥µ¤Ï¡¢µ¡³£Åª¤Ò¤º¤ß¤òÅŵ¤¿®¹æ¤ËÊѤ¨¤ë¥Ô¥¨¥¾¸ú²Ì¤òÍøÍѤ·¤Æ¤ª¤ê¡¢ÍÍ¡¹¤ÊºàÎÁ¤òÍѤ¤¤Æ¼Â¸½¤µ¤ì¤Æ¤¤¤ë¡£¤·¤«¤·¡¢¥»¥ó¥µÉô¤ÏÄñ¹³¤äÍÆÎ̤ʤɤμõưÁǻҤǹ½À®¤µ¤ì¤Æ¤ª¤ê¡¢¥»¥ó¥µ¤Î S/NÈæ¸þ¾å¤Î¤¿¤á¤Ë¡¢¿®¹æ½èÍý²óÏ©¤ò¥»¥ó¥µ¸åÃÊ¤ËÆþ¤ì¤ëɬÍפ¬¤¢¤ê²óÏ©µ¬ÌϤ¬Â絬ÌϤˤʤë¤È¤¤¤¦ÌäÂ꤬¤¢¤ë¡£¤½¤³¤Ç¡¢°µÎÏ¥»¥ó¥µ¸¡½ÐÉô¤Ë¤ª¤¤¤Æ¤¹¤Ù¤Æ¥È¥é¥ó¥¸¥¹¥¿¤ËÃÖ¤­´¹¤¨¡¢¥»¥ó¥µ¸¡½Ð¤È¿®¹æ½èÍý¤òƱ°ì²óÏ©¤Ç¹Ô¤¨¡¢¤«¤Ä¥È¥é¥ó¥¸¥¹¥¿¤ÎưºîÆÃÀ­ÈϰϤò¸úΨ¤è¤¯ÍøÍѤ¹¤ì¤Ð¡¢½¾Íè¤è¤ê¤â²óÏ©µ¬ÌϤ¬È¾Ê¬°Ê²¼¤Ç¡¢ÄãÅÅÎϲ½¤¬¼Â¸½¤Ç¤­¤ë¡£¤½¤³¤ÇËܸ¦µæ¤Ç¤Ï¡¢MEMS¤ÎÀ½Â¤¤¬Èæ³ÓŪ´Êñ¤Ë²Äǽ¤ÊSOI´ðÈĤòÍѤ¤¡¢ÁÇ»ÒʬΥ¤¬´Êñ¤Ë¹Ô¤¨¤ëSOI-MOSFET¤òÍѤ¤¤¿¤Ò¤º¤ß¸¡½ÐÁǻҤòºîÀ½¤·¡¢É¾²Á¤ò¹Ô¤Ê¤Ã¤¿¡£

Âê̾»¨²»Åý·×¤òÍѤ¤¤¿Èù¼å¿®¹æ¸¡½Ð¤ÎÄÌ¿®¤Ø¤Î±þÍÑ
Ãø¼Ô *¥Ï¥à ¥Ò¥ç¥ó¥¸¥å, ¾¾²¬ ½Ó¶©, ë¸ý ¸¦Æó(ÂçºåÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê, ¿áÅÄ»Ô)
Pagepp. 403 - 408
Keyword ³ÎΨ¶¦ÌÄ, »¨²», ÄÌ¿®, Èù¼å¿®¹æ
Abstract»¨²»Åý·×¤òÍѤ¤¤¿¿®¹æ¸¡½ÐÊý¼°¤ÎÄÌ¿®¤Ø¤Î±þÍѤò¸¡Æ¤¤¹¤ë¡£¥Ç¥Ð¥¤¥¹¤ÎÈùºÙ²½¤Ë¤è¤ëÄãÅŰµÆ°ºî¤Ë¤ª¤±¤ë¸¡½Ð´¶Å٤γÎÊݤβÝÂê¤ò³ÎΨÏÀŪ¥¢¥×¥í¡¼¥Á¤òÍѤ¤¤Æ¡¢»¨²»¥ì¥Ù¥ë°Ê²¼¡¢ïçÃͰʲ¼¤Î¿®¹æ¤ËÂФ·¤Æ¤â½½Ê¬¤Ê¸¡½Ð¤¬²Äǽ¤Ë¤Ê¤ëÈù¼å¿®¹æ¼õ¿®Êý¼°¤Î³«È¯¤òÌÜɸ¤È¤¹¤ë¡£¥Ï¡¼¥É¥¦¥§¥¢²½¤¬º¤Æñ¤Ç¤¢¤ëÅý·×½èÍý¤òÂåÂØ¤¹¤ëÊý¼°¤òÄ󰯤·¡¢²óÏ©¼ÂÁõ¤ò²Äǽ¤È¤·¡¢¥ê¥¢¥ë¥¿¥¤¥àÅý·×½èÍý¤ò²Äǽ¤È¤¹¤ë¡£Ä󰯤¹¤ëÈù¼å¿®¹æ¸¡½ÐÊý¼°¤Ë¤ª¤¤¤Æ´¶ÅÙ¤ò¿ôÃÍ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤ÇÄ´¤Ù¤¿·ë²Ì¡¢»¨²»ÅÅÎϤÎ0.04ÇܤÎÅÅÎϤò»ý¤Ä¿®¹æ¤ËÂФ·¤Æ¤â½½Ê¬¤Ê¿®¹æ¸¡½Ð¤¬²Äǽ¤Ç¤¢¤ë¤³¤È¤ò³Îǧ¤·¤¿¡£Ä󰯤¹¤ë¸¡½ÐÊý¼°¤ò½¸ÀѲóÏ©¤Ç¼Â¸½¤Ç¤­¤ì¤Ð¡¢¤½¤Î¥¤¥ó¥Ñ¥¯¥È¤ÏÂ礭¤¤¤È¹Í¤¨¤ë¡£


¥»¥Ã¥·¥ç¥ó Ba2-3 ¥¢¥Ê¥í¥°½¸ÀѲóÏ©¥Ö¥í¥Ã¥¯
Æü»þ: 2008ǯ4·î22Æü(²Ð) 13:30-14:45
ºÂĹ: ¾®ÎÓ ½ÕÉ× (·²ÇÏÂç³Ø)

Âê̾Four-phase All PMOS Charge Pump without Body Effects in Standard CMOS Technology
Ãø¼Ô *Na Li(Graduate School of Information, Production and Systems, Waseda University), Zhangcai Huang(Fukuoka Industry, Science & Technology Foundation), Minglu Jiang, Yasuaki Inoue(Graduate School of Information, Production and Systems, Waseda University)
Pagepp. 409 - 414
Keyword charge pump, four phase
AbstractIn this paper, a four-phase all PMOS charge pump based on the voltage doubler structure is proposed. The proposed charge pump is designed in 1.8V 0.18¡¦ standard CMOS process with high voltage boosting efficiency and little output ripple. Moreover, it solves the voltage overstress problem which exists in the conventional charge pump and eliminates the body effect as well by adding two auxiliary substrate switching PMOS transistors. The simulation results show that the proposed charge pump circuits have an improvement about 93.2% compared with the original two-phase Dickson charge pump and an improvement about 28.2% compared with the negative four-phase Dickson charge pump when the supply voltage is 1.8V. Besides it can even work as long as the supply power voltage is larger than the threshold voltage, which makes it quite suitable to be utilized in low supply voltage applications.

Âê̾»°³ÑÇȤòÆó¤ÄÍѤ¤¤¿¤Î¤³¤®¤êÇÈȯÀ¸²óÏ©
Ãø¼Ô *ƣ¼ À¬¹°, ¹â°æ ¿­ÏÂ(·²ÇÏÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²ÊÅŵ¤ÅÅ»ÒÀì¹¶)
Pagepp. 415 - 420
Keyword ¤Î¤³¤®¤êÇÈ, ¥¹¥¤¥Ã¥Á¥ó¥°¥ì¥®¥å¥ì¡¼¥¿, ȯ¿¶²óÏ©
AbstractÅŸ»Å۵¤ò¶¡µë¤¹¤ë²óÏ©¤Ë¤Ï¥·¥ê¡¼¥º¥É¥í¥Ã¥ÑÅŸ»¤ä¥¹¥¤¥Ã¥Á¥ó¥°ÅŸ»¤¬¤¢¤ë¡£¤³¤Î¤¦¤Á¥¹¥¤¥Ã¥Á¥ó¥°ÅŸ»¤Ï¡¢¥·¥ê¡¼¥º¥É¥í¥Ã¥ÑÅŸ»¤ËÈæ¤Ù¥¨¥Í¥ë¥®¡¼¸úΨ¤¬Îɤ¯¡¢·ÚÎ̾®·¿²½¤Ç¤­¤ë¤¿¤á¡¢¸½ºß¿¤¯¤ÎÅŻҵ¡´ï¤Ë»ÈÍѤµ¤ì¤Æ¤¤¤ë¡£¤³¤Î¥¹¥¤¥Ã¥Á¥ó¥°ÅŸ»¤Ë Ramp ÇȤȤ·¤Æ¤Î¤³¤®¤êÇȤ¬»ÈÍѤµ¤ì¤ë¡£¤Î¤³¤®¤êÇȤÏÎÏÅ۵¤Î¸íº¹¿®¹æ¤ÈÈæ³Ó¤µ¤ì¡¢¶ë·ÁÇÈ ¤ò½ÐÎϤ¹¤ë¤¿¤á¤Ë»È¤ï¤ì¤ë¡£¤³¤Î¤È¤­¤Î¤³¤®¤êÇȤο¶Éý¤äȯ¿¶¼þÇÈ¿ô¤Ë¸íº¹¤¢¤ë¤È¡¢¥¹¥¤¥Ã¥Á¥ó¥°ÅŸ»Á´ÂΤΥ롼¥×ÆÃÀ­¤Ë¸íº¹¤¬À¸¤¸¤ë¡£¤½¤³¤Ç¡¢ËܹƤǤϤ³¤ÎÌäÂêÅÀ¤ò²þÁ±¤¹¤ë¤¿¤á¡¢»°³ÑÇȤòÆó¤ÄÁȤ߹ç¤ï¤»¤Æ¸íº¹¤Î¾¯¤Ê¤¤¤Î¤³¤®¤êÇȤòȯÀ¸¤µ¤»¤ë¼êË¡¤òÄ󰯤¹¤ë¡£¤Þ¤¿¤½¤Î¼êË¡¤òÍѤ¤¤Æ²óÏ©¤òÀ߷פ·¡¢¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Çưºî¤ò³Îǧ¤¹¤ë¡£

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Ãø¼Ô *¾¾ËÜ ¿¶Ìï, ¾¾Ã« ¹¯Ç·(ÀÄ»³³Ø±¡Âç³Ø Íý¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê)
Pagepp. 421 - 425
Keyword ʬ¿ôʬ¼þ, ʬ¼þ´ï, PLL
Abstract¦¤­ô¥â¥¸¥å¥ì¡¼¥¿¤òÍѤ¤¤¿Ê¬¿ôʬ¼þ²óÏ©¤Ïʬ¼þ¼þÇÈ¿ô¤Î¼þÊդ˥·¥§¡¼¥Ô¥ó¥°¤Ë¤è¤ëÎ̻Ҳ½»¨²»¤¬Ê¬ÉÛ¤¹¤ë¤¿¤á¡¢¤³¤ì¤ò½üµî¤¹¤ë¼êË¡¤¬ÌäÂê¤È¤Ê¤ë¤¬¡¢¤³¤ÎÌäÂê¤ò²ò·è¤¹¤ë°ì¼êË¡¤È¤·¤Æ£²ÃÊľÎóÀÑʬ´ïÀܳ¤ËÉéµ¢´Ô¤ò¤«¤±¤¿¥Ç¥¸¥¿¥ëȯ¿¶²óÏ©¤òÍѤ¤¤ë¿·¤·¤¤Ê¬¿ôʬ¼þ²óÏ©¤òÄ󰯤¹¤ë¡£ ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤ê¡¢Ééµ¢´ÔÎ̤ò¸ÇÄꤷ¤¿¾ì¹ç¤Ë¤Ï¥¹¥×¥ê¥¢¥¹»¨²»¤ò½Ð¤µ¤Ê¤¤¤³¤È¡¢¤ª¤è¤ÓÉéµ¢´ÔÎ̤òÄ´Àᤷ¤Æ°ÌÁêÆ±´ü¤ò¤«¤¿¾ì¹ç¤Ç¤â-100dB°Ê²¼¤Î¥¹¥×¥ê¥¢¥¹ÆÃÀ­¤òÆÀ¤é¤ì¤ë¤³¤È¤òÌÀ¤é¤«¤Ë¤·¤¿¡£


¥»¥Ã¥·¥ç¥ó Ba2-5 ¤Ð¤é¤Ä¤­´ØÏ¢µ»½Ñ
Æü»þ: 2008ǯ4·î22Æü(²Ð) 15:15-16:30
ºÂĹ: ÁýÅÄ ¹°À¸ (¥ë¥Í¥µ¥¹¥Æ¥¯¥Î¥í¥¸)

Âê̾ÅŸ»¼×ÃDzóÏ©¤Ë¤ª¤±¤ë¥Ñ¥¹ÃÙ±ä»þ´Ö¤Ð¤é¤Ä¤­¤Î·×»»
Ãø¼Ô *Ç븶 ¼®, º´Æ£ ¹â»Ë, ±× °ìºÈ(Åìµþ¹©¶ÈÂç³ØÅý¹ç¸¦µæ±¡)
Pagepp. 427 - 432
Keyword ¥Ñ¥ï¡¼¥²¡¼¥Æ¥£¥ó¥°, À½Â¤¤Ð¤é¤Ä¤­, ÃÙ±ä²òÀÏ
Abstract¥×¥í¥»¥¹¤ÎÈùºÙ²½¤Ë¤È¤â¤Ê¤¤Áý²Ã¤¹¤ë¥ê¡¼¥¯ÅÅή¤òÄ㸺¤¹¤ë¤¿¤á¡¤Æ°ºî¤·¤Æ¤¤ ¤Ê¤¤²óÏ©¤ËÂФ¹¤ëÅŸ»¶¡µë¤ò¼×ÃǤ¹¤ëÅŸ»¼×Ãǵ»½Ñ¤¬Å¬ÍѤµ¤ì¤Æ¤­¤Æ¤¤¤ë¡¥°ì Êý¤Ç¡¤¥Ç¥Ð¥¤¥¹¤ÎÆÃÀ­¤Ð¤é¤Ä¤­¤¬²óϩưºî¤ËÍ¿¤¨¤ë±Æ¶Á¤¬¸²Ãø¤Ë¤Ê¤Ã¤Æ¤¤¤ë¡¥ ÅŸ»¼×Ãǵ»½Ñ¤òŬÍѤ·¤¿²óÏ©¤Ë¤ª¤¤¤Æ¡¤À½Â¤¤Ð¤é¤Ä¤­¤ò¹Íθ¤¹¤ë²óÏ©À߷פò¸ú Ψ²½¤¹¤ë¤¿¤á¡¤ÅŸ»¼×ÃÇ¥¹¥¤¥Ã¥Á¤ò»ý¤Ä²óÏ©¤Î¥Ñ¥¹ÃÙ±ä»þ´Ö¤Îʬ»¶¤ò´Ê°×¤Ëµá ¤á¤ë¼°¡¤µÚ¤ÓƳ½Ð¼°¤Ë»ÈÍѤ¹¤ë¥Ñ¥é¥á¡¼¥¿¤Î·×»»ÊýË¡¤òÄ󰯤¹¤ë¡¥Ä󰯤¹¤ë¼° ¤Ï¡¤fanout ¿ô¡¤ÏÀÍýÃÊ¿ô¡¤ÏÀÍý¥²¡¼¥È¤Î¼ïÎà¤ò¹Íθ¤·¤Æ¤¤¤ë¡¥½¾Íè¤Î Monte Carlo Ë¡¤Ë¤è¤ë¤Ð¤é¤Ä¤­·×»»¤ÈÈæ³Ó¤·¤Æ¡¤É¬Íפʷ׻»»þ´Ö¤òÌó 3 ·åÄ㸺¤Ç¤­¤ë ¤³¤È¤ò¼¨¤¹¡¥Æ³½Ð¤¹¤ë¼°¤ÎÍøÍѤˤè¤ê¡¤¥Ñ¥¹ÃÙ±ä»þ´Ö¤Ð¤é¤Ä¤­¤ò¹Íθ¤¹¤ë²óÏ© ¹çÀ®¤äÅŸ»¥¹¥¤¥Ã¥Á¥µ¥¤¥º¤Î·èÄ꤬²Äǽ¤È¤Ê¤ë¡¥

Âê̾An Advanced Effective Capacitance Model Considering Input Waveform Effect
Ãø¼Ô *Minglu Jiang(Waseda University), Zhangcai Huang(Fukuoka Industry, Science & Technology Foundation), Atsushi Kurokawa(Sanyo Semiconductor Co., Ltd), Yasuaki Inoue(Waseda University)
Pagepp. 433 - 438
Keyword effective capacitance, gate delay, input effect, CMOS inverter
AbstractIn deep submicron designs, predicting gate delays is a noteworthy work for Static Timing Analysis (STA). The effective capacitance Ceff concept is usually used to calculate the gate delay of interconnect load. Conventionally, the input-signals are assumed as ramp waveforms. However, the input waveform is also the output of CMOS gates with interconnect wires. Thus the simple assumption as a ramp signal results in significant influence on the delay calculating. In this paper, an advanced effective capacitance model is proposed to consider both the input waveform effect and interconnect wire load, where the nonlinear influence of input waveform is modeled as one part of effective capacitance of capacitive load to compute the gate delay. Experimental results show a significant improvement in accuracy when the input waveform effect is considered.

Âê̾¥×¥í¥»¥¹¤Ð¤é¤Ä¤­¤ÎÀѶËŪ³èÍѤˤè¤ëÈó·«ÊÖ¤·Å۵ÇÈ·Á¤Î¬Äê
Ãø¼Ô ¾å±ò ¹ª, *º´Æ£ ¹â»Ë, ±× °ìºÈ(Åìµþ¹©¶ÈÂç³ØÅý¹ç¸¦µæ±¡)
Pagepp. 439 - 444
Keyword Å۵¬Äê²óÏ©, ¤Ð¤é¤Ä¤­, ¤Ð¤é¤Ä¤­³èÍÑ·¿³èÍÑ·¿²óÏ©


¥»¥Ã¥·¥ç¥ó Bd2-1 ư²èÁüÉ乿²½II
Æü»þ: 2008ǯ4·î22Æü(²Ð) 9:00-10:15
ºÂĹ: ¼¾¾ Àµ¸ã (¿·³ãÂç³Ø)

Âê̾SAD Accumulation Termination Algorithm and Early Loop Termination Decision based High Quality Fast Motion Estimation for H.264/AVC
Ãø¼Ô *Wenqi You, Yang Song, Xianghui Wei, Takeshi Ikenaga, Satoshi Goto(Waseda University)
Pagepp. 445 - 450
Keyword SAD, FFS, Early Termination
AbstractThis paper proposes a novel computational structure for Sum of Absolute Difference (SAD) in Fast Full Search (FFS) algorithm to ellipsis part of the SAD value dependency. This structure adopts an SAD Accumulating Termination Algorithm (SAD-ATA) and an Early Loop Termination Decision (ELTD). SAD-ATA is used to analyze and determine whether to skip the following operation of successive SAD accumulation or not, and ELTD is for the control and reduction of SAD comparison loops¡Ç degree in FFS ME.

Âê̾±ÇÁüÉ乿²½¤Ë¤ª¤±¤ë¥Õ¥ì¡¼¥à¥ì¡¼¥È¤Èư¤­¿äÄêÀºÅ٤δط¸¤Ë´Ø¤¹¤ë¹Í»¡
Ãø¼Ô *ºäÅì ¹¬¹À, ÁáÀ¥ ÏÂÌé, ¹â¼ À¿Ç·, ¾åÁÒ °ì¿Í, ȬÅç ͳ¹¬(NTT)
Pagepp. 451 - 454
Keyword ¹â¥Õ¥ì¡¼¥à¥ì¡¼¥È, ư¤­¿äÄêÀºÅÙ, ¥Õ¥ì¡¼¥à¥ì¡¼¥È
Abstract¹â¥Õ¥ì¡¼¥à¥ì¡¼¥È²½¤Ï±ÇÁü¤Î¹â²è¼Á²½¤Ë¤ÏÉԲķç¤ÊÍ×ÁǤǤ¢¤ë¡£°ìÊý¡¢±ÇÁü¤Î͹â¥Õ¥ì¡¼¥à¥ì¡¼¥È²½¤Ï¥Ç¡¼¥¿Î̤ÎÁý²Ã¤ò¾·¤¯¤¿¤á¡¢¸úΨŪ¤ÊÉ乿²½´ï¤ÎÀß·×ÊýË¡¤¬É¬ÍפȤʤ롣ư²èÁüÉ乿²½´ï¤Î¹½À®Í×ÁǤȤ·¤Æ¡¢Æ°¤­Êä½þ¤Ë¤è¤ë¥Õ¥ì¡¼¥à´Öͽ¬¤¬¤¢¤ë¡£¤³¤Îư¤­Êä½þ¤Î¸úΨ²½¤Ë±Æ¶Á¤òÍ¿¤¨¤ëÉ乿²½¥Ñ¥é¥á¡¼¥¿¤Î°ì¤Ä¤Ëư¤­¿äÄêÀºÅÙ¤¬¤¢¤ë¡£¥Õ¥ì¡¼¥à¥ì¡¼¥È¤ÎÁý²Ã¤Ëȼ¤¤¡¢¥Õ¥ì¡¼¥à´Ö³Ö¤¬Ã»¤¯¤Ê¤ë¤¿¤á¡¢Ä¾´¶Åª¤Ë¤Ï¡¢¥Õ¥ì¡¼¥à¥ì¡¼¥È¤ÎÁý²Ã¤Ëȼ¤¤¡¢¹â¤¤Æ°¤­¿äÄêÀºÅÙ¤¬É¬ÍפȤʤ뤳¤È¤¬Í½ÁÛ¤µ¤ì¤ë¡£¤·¤«¤·¡¢¥Õ¥ì¡¼¥à¥ì¡¼¥È¤Èư¤­¿äÄêÀºÅ٤δط¸¤Ë¤Ä¤¤¤Æ¤ÎÄêÎÌŪ¤ÊÀ­¼Á¤ÏÇİ®¤µ¤ì¤Æ¤¤¤Ê¤¤¡£¤½¤³¤Ç¡¢ËܹƤǤϡ¢¥Õ¥ì¡¼¥à¥ì¡¼¥È¤Èư¤­¿äÄêÀºÅ٤δط¸¤òɽ¤¹²òÀÏŪ¤ÊÍýÏÀ¥â¥Ç¥ë¤ò¹½ÃÛ¤·¡¢Æ±¥â¥Ç¥ë¤òÍøÍѤ·¤Æ¥Õ¥ì¡¼¥à¥ì¡¼¥ÈËè¤ÎŬÀÚ¤ÊÆ°¤­¿äÄêÀºÅÙ¤ò¿äÄꤹ¤ë¡£

Âê̾ɸ½à´ðÄì¤Ø¤Î¼Í±Æ¤òÍѤ¤¤¿H.264/AVC¤Ë¤ª¤±¤ë¥â¡¼¥ÉȽÊ̤ι⮲½
Ãø¼Ô *¸Å²ì ¾¼¹À(µ×Î±ÊÆ¹©¶È¹âÅùÀìÌç³Ø¹» µ¡³£¡¦Åŵ¤¥·¥¹¥Æ¥à¹©³ØÀì¹¶), ¹õÌÚ ¾Í¸÷(µ×Î±ÊÆ¹©¶È¹âÅùÀìÌç³Ø¹»)
Pagepp. 455 - 458
Keyword H.264/AVC
AbstractH.264/AVC¤Ç¤Ïư¤­¥Ù¥¯¥È¥ë¤ä¡¤¥¤¥ó¥È¥éͽ¬¤Ë¤ª¤¤¤ÆÂ¿¿ô¤Î¥â¡¼¥É¤¬Â¸ºß¤¹¤ë¤¿¤á¡¤ºÇŬ¤Ê¥â¡¼¥É¤òÁªÂò¤¹¤ë¼êË¡¤¬É¬¿Ü¤Ç¤¢¤ë¡¥Joint Video Team ¤¬Ä󶡤·¤Æ¤¤¤ëreference software version JM12.0¤Ç¤Ï¸¶²èÁü¤Èͽ¬²èÁü¤ËÀ¸¤¸¤ë¥³¥¹¥È´Ø¿ô¤òÁ´¤Æ¤Î¥â¡¼¥É¤ËÂФ·¤Æ·×»»¤·¡¤¤½¤ì¤¬ºÇ¾®¤È¤Ê¤ë¥â¡¼¥É¤òºÎÍѤ·¤Æ¤¤¤ë¡¥ËÜÏÀʸ¤Ç¤Ï¥³¥¹¥È´Ø¿ô¤ËSum of Absolute Transformed/Hadamard Differences (SATD) ¤ò»ÈÍѤ·¤¿¾ì¹ç¤Î¹â®²½Ë¡¤òÄ󰯤¹¤ë¡¥


¥»¥Ã¥·¥ç¥ó Bd2-2 ¥¤¥ó¥¿¥é¥¯¥Æ¥£¥Ö¥»¥Ã¥·¥ç¥ó(Bd)
Æü»þ: 2008ǯ4·î22Æü(²Ð) 10:35-12:15
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Âê̾ɽ¾ðÊѲ½¤Ë¥í¥Ð¥¹¥È¤Ê3¼¡¸µ´éǧ¾Ú¥¢¥ë¥´¥ê¥º¥à¤Î¸¡Æ¤
Ãø¼Ô *Ááºä ¾¼Íµ, °ËÆ£ ¹¯°ì, ÀÄÌÚ ¹§Ê¸(ÅìËÌÂç³ØÂç³Ø±¡¾ðÊó²Ê³Ø¸¦µæ²Ê), ÃæÅç ´², ¾®ÎÓ ¹§¼¡(»³Éð)
Pagepp. 459 - 464
Keyword ´éǧ¾Ú, ɽ¾ðÊѲ½, ¥¹¥Æ¥ì¥ª¥Ó¥¸¥ç¥ó, °ÌÁê¸ÂÄêÁê´ØË¡, ¥Ð¥¤¥ª¥á¥È¥ê¥¯¥¹
AbstractËÜÏÀʸ¤Ç¤Ï¡¤É½¾ð¤¬ÊѤï¤ë¤³¤È¤Ç´é¤ÎɽÌ̹½Â¤¤¬ÊѲ½¤·¤¿¾ì¹ç¤Ç¤âÀµ³Î¤Ëǧ¾Ú¤¹¤ë¤³¤È¤¬¤Ç¤­¤ë¹âÀ­Ç½¤Ê3 ¼¡¸µ´éǧ¾Ú¥¢¥ë¥´¥ê¥º¥à¤òÄ󰯤¹¤ë¡¥¤Þ¤º¡¤É½¾ð¤Î°Û¤Ê¤ë3 ¼¡¸µ¥Ç¡¼¥¿¤¬ÆþÎϤµ¤ì¤¿¾ì¹ç¤Ë½¾Íè¤Îǧ¾Ú¥¢¥ë¥´¥ê¥º¥à¤ÇÀ¸¤¸¤ëÌäÂê¤Ë¤Ä¤¤¤Æ¾ÜºÙ¤Ê²òÀϤò¹Ô¤¦¡¥¤½¤Î²òÀÏ·ë²Ì¤Ë´ð¤Å¤­¡¤´é¤ÎÃæ¤Çɽ¾ðÊѲ½¤Î±Æ¶Á¤ò¼õ¤±¤Ë¤¯¤¤ÉôʬÎΰè¤Î3 ¼¡¸µ¹½Â¤¤Î¤ß¤òÍøÍѤ·¤ÆÇ§¾Ú¤¹¤ë3 ¼¡¸µ´éǧ¾Ú¥¢¥ë¥´¥ê¥º¥à¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë¡¥¤½¤·¤Æ¡¤É½¾ðÊѲ½¤Î¤¢¤ë´é¥Ç¡¼¥¿¤ò´Þ¤ó¤À¥Ç¡¼¥¿¥Ù¡¼¥¹¤òÍѤ¤¤¿Ç§¾Ú¼Â¸³¤òÄ̤·¤Æ¡¤Ä󰯼êË¡¤òÍøÍѤ¹¤ë¤³¤È¤Ë¤è¤ê¡¤´éÁ´ÂΤι½Â¤¤òÍøÍѤ¹¤ë½¾Íè¼êË¡¤è¤ê¤â¶Ë¤á¤Æ¹âÀ­Ç½¤Êǧ¾Ú¤¬¼Â¸½²Äǽ¤Ç¤¢¤ë¤³¤È¤ò¼¨¤¹¡¥

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Ãø¼Ô *»³ÅÄ ·ò¹°(µ×Î±ÊÆ¹©¶È¹âÅùÀìÌç³Ø¹» Àì¹¶²Ê µ¡³£¡¦Åŵ¤¥·¥¹¥Æ¥à¹©³ØÀì¹¶), ¹õÌÚ ¾Í¸÷(µ×Î±ÊÆ¹©¶È¹âÅùÀìÌç³Ø¹» À©¸æ²Ê)
Pagepp. 465 - 468
Keyword ´éǧ¼±
Abstract¤³¤ì¤Þ¤Ç¡¢ÍÍ¡¹¤Ê´éǧ¼±¤Î¼êË¡¤¬Ä󰯤µ¤ì¤Æ¤­¤¿¡£¤½¤ÎÃæ¤Ç¤â¡¢¹â¤¤Ç§¼±Î¨¤ò¸Ø¤ë¼êË¡¤ËFisherfaces¤È¤¤¤¦¤â¤Î¤¬¤¢¤ë¡£¤·¤«¤·¡¢¤³¤Î¼êË¡¤ÇÍѤ¤¤ë¹ÔÎó¤Ï¡¢¥Ç¡¼¥¿¥»¥Ã¥È¤Ë°Í¸¤¹¤ë¤È¤¤¤¦ÌäÂ꤬¤¢¤ê¡¢¥Ç¡¼¥¿¥»¥Ã¥È¤Ë¤è¤Ã¤Æ¤Ï¶Ëü¤Ê¼¡¸µÄã²¼¤ò¾·¤¤¤Æ¤·¤Þ¤¦¡£¤³¤ÎÏÀʸ¤Ç¤Ï¡¢¥Ö¥í¥Ã¥¯PCA¤ò±þÍѤ¹¤ë¤³¤È¤Ç¶Ëü¤Ê¼¡¸µÄã²¼¤òËɤ®¡¢Fisherfaces¤Ë¤ª¤¤¤Æ¡¢¤è¤êǧ¼±Î¨¤Î¹â¤¤¥Ö¥í¥Ã¥¯¥µ¥¤¥º¤ò¸¡Æ¤¤¹¤ë¡£

Âê̾¼«¸ÊÁÈ¿¥²½¥Þ¥Ã¥×¤òÍѤ¤¤¿ÎسÔÃê½Ð¼êË¡BL-DCDAM¤ÎÄó°Æ
Ãø¼Ô *¿¢ÅÄ ÂóÌé(³ô¼°²ñ¼Ò¥®¥ã¥é¥¯¥·¡¼), Ïɸ« °éμ, ÆñÇÈ Ê¡Ìï(Ä»¼è´Ä¶­Âç³Ø), ÌùÌÚ ÅÐ(ÄÅ»³¹©¶È¹âÅùÀìÌç³Ø¹»), ÃÛë δͺ(¾¾¹¾¹©¶È¹âÅùÀìÌç³Ø¹»)
Pagepp. 469 - 474
Keyword DCDAM, ¼«¸ÊÁÈ¿¥²½¥Þ¥Ã¥×, °ÌÁêÊÝ»ý¥Þ¥Ã¥Ô¥ó¥°, ÎØ³ÔÃê½Ð
AbstractËܸ¦µæ¤Ç¤Ï¡¤¼«¸ÊÁÈ¿¥²½¥Þ¥Ã¥×¤òÍѤ¤¤¿ÎسÔÃê½Ð¼êË¡DCDAM¤Î²þÎɤȤ·¤Æ¡¤¼«¸ÊÁÈ¿¥²½¥Þ¥Ã¥×¤Ë¤ª¤±¤ë³Ø½¬¥¢¥ë¥´¥ê¥º¥à¤ËÆþÎÏ¥Ù¥¯¥È¥ë¤ÎÄó¼¨½ç½ø¤Ë°Í¸¤·¤Ê¤¤¥Ð¥Ã¥Á³Ø½¬·¿SOM¥¢¥ë¥´¥ê¥º¥à¤òƳÆþ¤·¡¤ÊªÂΤÎÎØ³ÔÃê½Ð¤ò¹Ô¤Ã¤¿¡¥ ¼Â¸³¤Î·ë²Ì¡¤¤³¤ì¤Þ¤Ç¤ËÄ󰯤·¤Æ¤¤¤ëÃ༡³Ø½¬·¿SOM¥¢¥ë¥´¥ê¥º¥à¤ÈÈæ³Ó¤·¤ÆÎɹ¥¤Ê·ë²Ì¤òÆÀ¤ë¤³¤È¤¬¤Ç¤­¤¿¡¥¤µ¤é¤Ë¡¤½¾Íè¼êË¡¤Î£±¤Ä¤Ç¤¢¤ëActive Net¤È¤ÎÈæ³Ó¼Â¸³¤ò¹Ô¤¤¡¤Ä󰯼êË¡¤ÎÍ­¸úÀ­¤ò³Îǧ¤¹¤ë¤³¤È¤¬¤Ç¤­¤¿¡¥

Âê̾DCDAM¤Ë¤è¤ëActive Net¤Î½é´üÀßÄêÀ©¸æ¤Î¸¡Æ¤
Ãø¼Ô *ÆñÇÈ Ê¡Ìï, Ïɸ« °éμ(Ä»¼è´Ä¶­Âç³Ø), ¿¢ÅÄ ÂóÌé(³ô¼°²ñ¼Ò¥®¥ã¥é¥¯¥·¡¼), ÌùÌÚ ÅÐ(ÄÅ»³¹©¶È¹âÅùÀìÌç³Ø¹»), ÃÛë δͺ(¾¾¹¾¹©¶È¹âÅùÀìÌç³Ø¹»)
Pagepp. 475 - 480
Keyword ²èÁüǧ¼±, Active Net, DCDAM
Abstract²èÁüÃæ¤«¤éÎΰè¤òÃê½Ð¤¹¤ë¤¿¤á¤Î¼êË¡¤È¤·¤ÆActive Net¤¬¤¢¤ë¡¥¤·¤«¤·¡¤²èÁüÃæ¤Îü¤ËÂоÝʪÂΤ¬Â¸ºß¤·¤Æ¤¤¤¿¾ì¹ç¡¤¤µ¤é¤ËÊ£¿ôʪÂΤÎÃê½Ð¤Ë¤ª¤¤¤ÆÂоÝʪÂΤΰÌÃÖ¡¦¿ô¤òÄêµÁ¤¹¤ë¤³¤È¤¬Æñ¤·¤¤¾ì¹ç¤Ë¤½¤ÎÀ­Ç½¤Ë¤Ä¤¤¤ÆÌäÂ꤬¤¢¤Ã¤¿¡¥ ¤½¤³¤Ç¡¤Ëܸ¦µæ¤Ç¤ÏActive Net¤Ç½¾ÍèÌäÂê¤È¤Ê¤ë¤è¤¦¤ÊŬÅö¤Ê°ÌÃÖ¡¦Â礭¤µ¤ÎʪÂΤËÂФ·¤Æ¡¤ÎسÔÃê½Ð¼êË¡DCDAM¤òActive Net¤ÎÀ©¸æ¤ØÅ¬ÍѤ¹¤ë¤³¤È¤Ç¤½¤ÎÀ­Ç½²þÁ±¤ò»î¤ß¤¿¡¥ ¼Â²èÁü¤òÍѤ¤¤¿¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¼Â¸³¤ò¹Ô¤¤¡¤½¾Íè¼êË¡¤Ç¤ÏÃê½Ð¤¬º¤Æñ¤Ê¾ì¹ç¤Ë¤ª¤¤¤Æ¤âÄ󰯼êË¡¤Ç¤ÏÀµ¤·¤¯Ãê½Ð¤ò¹Ô¤¦¤³¤È¤¬¤Ç¤­¤ë¤³¤È¤ò¼¨¤·¤¿¡¥

Âê̾¥Õ¥¡¥¸¡¼¿äÏÀ¤Ë¤è¤ë²èÁü³ÈÂçË¡¤Î¥Ï¡¼¥É¥¦¥§¥¢¤Ø¤Î¼ÂÁõ
Ãø¼Ô ²ÃÆ£ ¸÷À®, *ÃæÂ¼ ¹¬¹°, ÌÚ¼ À¿Áï(¿ÀÆàÀ²ÊÂç³Ø¾ðÊó³ØÉô¾ðÊ󹩳زÊ), Åĸý μ(É𢹩¶ÈÂç³Ø¹©³ØÉôÀ¸Âΰ幩³Ø²Ê)
Pagepp. 481 - 484
Keyword FPGA, ³ÈÂçË¡, FUZZY
Abstract¥Ç¥£¥¹¥×¥ì¥¤¤Î¹â²òÁüÅÙ²½¤¬ÌܳФ·¤¤¤â¤Î¤Î¡¤½¾Íè¤Î±ÇÁüµ¬³Ê¤Çµ­Ï¿¤µ¤ì¤¿±ÇÁü¤Ï²òÁüÅÙ¤¬Ä㤯¡¤ºÇ¿·¤Î¥Ç¥£¥¹¥×¥ì¥¤¤Ë¤ÏŬ±þ¤·¤Ê¤¤¡¥¤½¤³¤Ç¡¤Äã²òÁüÅ٤αÇÁü¤ò¹â²òÁüÅÙ²½¤¹¤ë¤³¤È¤¬µá¤á¤é¤ì¤ë¡¥ ËܹƤǤϥ¢¡¼¥Æ¥£¥Õ¥¡¥¯¥È¤Î±Æ¶Á¤¬Ìµ¤¯¡¤¹â¼þÇÈ¿ôÀ®Ê¬¤¬Êݸ²Äǽ¤Ê¥Õ¥¡¥¸¡¼¿äÏÀ¤Ë¤è¤ë²èÁü³ÈÂçË¡¤ò¥Ï¡¼¥É¥¦¥§¥¢¤Ë¼ÂÁõ¤·¤¿¤Î¤Ç¡¤Êó¹ð¤ò¤¹¤ë¡¥

Âê̾¸¶²èÁü¤òÍøÍѤ·¤¿°õºþ²èÁü¤Ø¤Î¥Ç¡¼¥¿Ëä¤á¹þ¤ß
Ãø¼Ô *ÀµÌî δʸ, Åï°Â ¼Â¼£, ÃæÀ¾ ¹¯Æó(´ØÀ¾Âç³Ø)
Pagepp. 485 - 488
Keyword °õºþ²èÁü, ¥Ç¡¼¥¿Ëä¹þ, ¸¶²èÁü, ³È»¶É乿, ¸í¤êÄûÀµÉ乿
AbstractËܹƤǤϡ¤¸¶²èÁü¤¬´ûÃΤǤ¢¤ë¤È¤·¤Æ¡¤¤³¤ì¤òÍøÍѤ·¤¿DCTÊÑ´¹¤È³È»¶Êý¼°¤Ë´ð¤Å¤¯°õºþ²èÁü¤Ø¤Î¥Ç¡¼¥¿Ëä¤á¹þ¤ß¡¦¸¡½ÐË¡¤òÄ󰯤¹¤ë¡¥¤Þ¤º¡¤Ã¼Ëöµ¡Â¦¤Ç¤Î¸¡½Ð¤ò¹Íθ¤·¤¿¸¶²èÁü¤Î¾ðÊó¤òÍѤ¤¤Ê¤¤ÊýË¡¤Ë¤Ä¤¤¤Æ¾Ò²ð¤·¡¤¤½¤ÎÌäÂêÅÀ¤Ç¤¢¤ëËä¤á¹þ¤ß²Äǽ¤Ê¾ðÊóÎ̤¬¾¯¤Ê¤¤ÅÀ¤ä¡¤¸í¸¡½Ð¤¬µ¯¤³¤ê¤ä¤¹¤¤ÅÀ¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë¡¥¤½¤ì¤ò²ò·è¤¹¤ëÊýË¡¤È¤·¤Æ¡¤Ëä¤á¹þ¤ß»þ¤ËÍѤ¤¤ë³È»¶É乿¤ËWalshÉ乿¤òÍѤ¤¤ë¤³¤È¤È¡¤¸¡½Ð½èÍý¤ò¸¶²èÁü¤Î¾ðÊó¤òÊÝÍ­¤·¤Æ¤¤¤ë¥µ¡¼¥Ð¤Ç¹Ô¤¦¤â¤Î¤È¤·¡¤¸¶²èÁü¤òÍѤ¤¤¿¸¡½ÐË¡¤òÄ󰯤¹¤ë¡¥¤³¤ì¤Ë¤è¤êËä¤á¹þ¤ß²Äǽ¥Ó¥Ã¥È¿ô¤ÎÂçÉý¤ÊÁý²Ã¤ÈÀºÅÙ¤ÎÎɤ¤¸¡½Ð¤¬²Äǽ¤È¤Ê¤ë¤³¤È¤ò¼¨¤¹¡¥¤Þ¤¿¡¤¥Î¥¤¥º¤ËÂФ¹¤ëÂÑÀ­¤ò¶¯²½¤¹¤ëÊýË¡¤È¤·¤Æ¡¤¸í¤êÄûÀµÉ乿¤ÎƳÆþ¤È3¥Ö¥í¥Ã¥¯Ëä¤á¹þ¤ß¤ÎŬÍÑ¡¤¤µ¤é¤Ë¡¤¤è¤ê¼ÂÍѲ½¤Ë¸þ¤±¡¤¥Ç¥£¥¸¥¿¥ë¥«¥á¥é¤òÍѤ¤¤¿²èÁü¼è¤ê¹þ¤ß¤Ø¤ÎÂбþ¤Ë¤Ä¤¤¤Æ¤â¸¡Æ¤¤ò¹Ô¤¦¡¥

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Ãø¼Ô *°¤Éô ½Ê¿Í(¿·³ã¸©¹©¶Èµ»½ÑÁí¹ç¸¦µæ½ê)
Pagepp. 489 - 492
Keyword ¥Ï¡¼¥Õ¥È¡¼¥Ë¥ó¥°, ¸íº¹³È»¶, ¥¯¥é¥¹¥¿¡¼¥É¥Ã¥È, γÅÙÀ©¸æ
Abstract°õºþÍÑÅӤΥǥ¸¥¿¥ë¥Ï¡¼¥Õ¥È¡¼¥Ë¥ó¥°¤Ë¤ª¤¤¤Æ¤Ï, °õºþŬÀ­¸þ¾å¤Î¤¿¤á¥É¥Ã¥È¤Î½¸Ãæ²½¤¬É¬ÍפǤ¢¤ë¡¥ ÁÈ¿¥Åª¥Ç¥£¥¶Ë¡¤Ç¤Ï´ðËܼþ´ü¤¬¤¢¤ë¤¿¤á¤Ë¥â¥¢¥ì¤Ê¤É¤ÎÉû¼¡ºîÍѤ¬¤¢¤ëÈ¿ÌÌγ¾õÀ­Îô²½¤Ê¤É¤Î°­±Æ¶Á¤Ï¾¯¤Ê¤¤¡¥ ³ÎΨŪ¼êË¡¤Î¸íº¹³È»¶Ë¡¤Ç¤Ï´ðËܼþ´ü¤ÎÉԺߤˤè¤ê¥â¥¢¥ì¤Ê¤É¤ÎÉû¼¡ºîÍѤϤʤ¤¤¬¡¤¥É¥Ã¥È¤Î½¸Ãæ²½¤ò¹Ô¤¦¤È¥Ï¥¤¥é¥¤¥ÈÉô¤ª¤è¤Ó¥·¥ã¥É¥¦Éô¤Ç¼þÇÈ¿ô¼çÃÍ(Principal Frequency)¤ÎÄã²¼¤Ë¤è¤êγ¾õÀ­¤¬¸²ºß²½¤¹¤ë¤È¤¤¤¦·çÅÀ¤ò»ý¤Ã¤Æ¤¤¤ë¡¥ ËܹƤǤϸ¶²èÁü¤ÎÌÀ°Å¤Ë±þ¤¸¤Æ¥É¥Ã¥È¥µ¥¤¥º¤ÎÀ©¸æ¤ò¹Ô¤¦¤³¤È¤Çγ¾õÀ­¤òÍÞÀ©¤¹¤ë¤³¤È¤òÄ󰯤·¤Æ¤¤¤ë¡¥

Âê̾Υ»¶»þ´Ö·¿¥»¥ë¥é¡¼¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯¤Ë¤è¤ë²èÁü¹â²òÁüÅÙ²½
Ãø¼Ô *¾®À¾ ·òʸ(¾åÃÒÂç³Ø), ÂçÃÝ ´º(¶ÌÀîÂç³Ø), ÀÄ¿¹ µ×(¾åÃÒÂç³Ø), ¹â¶¶ ¿­¾´(ÆüËÜ¥¢¥¤¡¦¥Ó¡¼¡¦¥¨¥à¡Ê³ô¡Ë), ÅÄÃæ êÌ(¾åÃÒÂç³Ø)
Pagepp. 493 - 496
Keyword Î¥»¶»þ´Ö·¿¥»¥ë¥é¡¼¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯, ²èÁü¹â²òÁüÅÙ²½, cycle spinning
AbstractËÜÏÀʸ¤Ç¤Ï¡¤Î¥»¶»þ´Ö·¿¥»¥ë¥é¡¼¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯(DT-CNN)¤òÍѤ¤¤¿²èÁü¹â²òÁüÅÙ²½¼êË¡¤òÄ󰯤¹¤ë¡¥Ä󰯼êË¡¤Ç¤Ï¡¤DT-CNN¤ÎÈóÀþ·ÁÆâÁÞ¥À¥¤¥Ê¥ß¥¯¥¹¤Ë¤è¤ëÍ¥¤ì¤¿Í½Â¬À­Ç½¤Ë¤â¤È¤Å¤¤¤¿¹â²òÁüÅÙ²½¤¬¼Â¸½¤µ¤ì¤ë¡¥°ìÈÌŪ¤Ë¡¤¹â²òÁüÅÙ²èÁü¤ÏÊä´Ö½èÍý¤Ë¤è¤Ã¤ÆÀ¸À®¤µ¤ì¤ëÍÍ¡¹¤Ê¥Î¥¤¥º¤ò´Þ¤ó¤Ç¤·¤Þ¤¦¤³¤È¤¬ÌäÂê¤È¤µ¤ì¤Æ¤¤¤ë¡¥¤½¤Î¤¿¤á¡¤Ä󰯼êË¡¤Ç¤Ï¥Î¥¤¥º¤ÎÄ㸺¤ò¿Þ¤ë¤¿¤á¡¤¸ú²ÌŪ¤Ê¥Î¥¤¥º½üµî¼êË¡¤Î°ì¤Ä¤Ç¤¢¤ë¥µ¥¤¥¯¥ë¥¹¥Ô¥Ë¥ó¥°¤òDT-CNN¤ËƳÆþ¤·¤Æ¤¤¤ë¡¥¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ç¤Ï¡¤ÍÍ¡¹¤Êɸ½à²èÁü¤òÍѤ¤¤Æ¼Â¸³¤ò¹Ô¤¤¡¤½¾ÍèË¡¤ÈÈæ³Ó¤·Ä󰯼êË¡¤ÎÍ¥°ÌÀ­¤ò³Îǧ¤·¤¿¡¥

Âê̾1¥Ó¥Ã¥È¿®¹æ½èÍý¤Ë¤è¤ëÁê¸ßÁê´Ø½èÍý¤Î·×¬ÀºÅÙ¡¦Ê¬²òǽ
Ãø¼Ô *Ê¿ÅÄ ¿µÇ·²ð, ¹õß· ¼Â(Åìµþ¹©¶ÈÂç³Ø), ÊÒ¶Í ¿ò(¤¹¤Æ¤­¤ÊÍ­¸Â²ñ¼Ò)
Pagepp. 497 - 500
Keyword Ͳ»Çȵ÷Î¥·×¬, 1¥Ó¥Ã¥È¿®¹æ½èÍý, ¦¤¦²ÊÑÄ´, ¥Ñ¥ë¥¹°µ½Ì, Áê¸ßÁê´Ø
Abstract¥Ñ¥ë¥¹¥¨¥³¡¼Ë¡¤òÍѤ¤¤¿Ä¶²»Çȵ÷Î¥·×¬¤Ç¤Ï¡¤Á÷¿®¤·¤¿Ä¶²»Çȥѥ륹¤È·×¬Âоݤ«¤éÈ¿¼Í¤¹¤ë¥¨¥³¡¼¤È¤Î»þ´ÖÃÙ¤ì(Time of flight: TOF) ¤ò·×¬¤¹¤ë¤³¤È¤Çµ÷Î¥·×¬¤ò¹Ô¤¦¡¥Ä¶²»Çȥѥ륹¤È¥¨¥³¡¼¤È¤ÎÁê¸ßÁê´Ø¤ò¤È¤ë¥Ñ¥ë¥¹°µ½Ìµ»½Ñ¤òŬÍѤ¹¤ë¤³¤È¤Ç¡¤TOF¤Î¬Äêʬ²òǽ¤ò¸þ¾å¤µ¤»¤ë¤³¤È¤¬¤Ç¤­¤ë¡¥¤·¤«¤·Áê¸ßÁê´Ø½èÍý¤Ë¤Ï¡¤ÂçÎ̤α黻¥³¥¹¥È¤¬É¬ÍפǤ¢¤ê¡¤¼Â»þ´Ö¤ÇTOF¤ò·×¬¤¹¤ë¤³¤È¤¬º¤Æñ¤È¤Ê¤ë¡£¤³¤ì¤Þ¤Ç¡¤1¥Ó¥Ã¥È¿®¹æ¤ÎÁê¸ßÁê´Ø½èÍý¡¤°Üưʿ¶Ñ¥Õ¥£¥ë¥¿¤Ç¤ÎÁê¸ßÁê´Ø´Ø¿ô¤ÎÊ¿³ê²½½èÍý¤«¤é¤Ê¤ë¥»¥ó¥µ¿®¹æ½èÍý¼êË¡¤òÄ󰯤·¤Æ¤­¤¿¡¥ËÜÏÀʸ¤Ç¤Ï¡¤Ä󰯼êË¡¤òÍѤ¤¤ÆÄ¶²»Çȵ÷Î¥·×¬¼Â¸³¤ò¹Ô¤¤¡¤1¥Ó¥Ã¥È¿®¹æ½èÍý¤Ë¤è¤ëÁê¸ßÁê´Ø½èÍý¤Î¸¡Æ¤¡¤Ä󰯤¹¤ëͲ»Çȵ÷Î¥·×¬¼êË¡¤Îɾ²Á¤ò¹Ô¤¦¡¥

Âê̾»»½Ñ·¿°µ½ÌÉ乿²½Ë¡¤ÎJPEG2000¤Ø¤ÎŬÍѤ˴ؤ¹¤ë¸¡Æ¤
Ãø¼Ô *²¼Â¼ ¾´(Âó¿£Âç³Ø Âç³Ø±¡ ¹©³Ø¸¦µæ²Ê), ÅÏî´ ½¤, Àî̾ ÌÀÉ×(Âó¿£Âç³Ø¹©³ØÉôÅŻҥ·¥¹¥Æ¥à¹©³Ø²Ê)
Pagepp. 501 - 505
Keyword JPEG 2000, »»½Ñ·¿°µ½Ì°Å¹æ, JPSEC, ²èÁü°Å¹æ²½
AbstractËܹƤǤϡ¢»»½Ñ·¿°µ½Ì°Å¹æ²½Ë¡¤Ë´ð¤Å¤¯²èÁü°Å¹æ²½Ë¡¤ò¡¢JPEG 2000É乿²½Êý¼°¤Ë±þÍѤ·¤¿¥·¥¹¥Æ¥à¤òÄ󰯤¹¤ë¡£Ä󰯤¹¤ë¥·¥¹¥Æ¥à¤ÎÆÃħ¤È¤·¤Æ¡¢°Å¹æ²½¸å¤âJPEG 2000¤Î¥Õ¥©¡¼¥Þ¥Ã¥È¤ò°Ý»ý¤¹¤ë¤³¤È¡¢°Å¹æ²½¤Î¤¿¤á¤ÎÉղýèÍý¤¬É¬Íפʤ¤¤³¤ÈÅù¤¬µó¤²¤é¤ì¤ë¡£¥·¥¹¥Æ¥à¤ÎÍ­¸úÀ­¤ò³Îǧ¤¹¤ë¤¿¤á¤Ë¡¢¼ï¡¹¤Î²èÁü¤òÍѤ¤¤¿°Å¹æ²½¼Â¸³¤ò¹Ô¤¤¡¢¤½¤ÎÀ­Ç½¤òɾ²Á¤·¤¿¡£¼Â¸³¤Î·ë²Ì¡¢Ä󰯤¹¤ë°Å¹æ²½¥·¥¹¥Æ¥à¤Ï¡¢JPEG 2000É乿²½²èÁü¤Î°Å¹æ²½¤ËÂФ¹¤ëÍ×µá¾ò·ï¤òËþ¤¿¤¹¤â¤Î¤Ç¤¢¤ë¤³¤È¤¬³Îǧ¤µ¤ì¤¿¡£

Âê̾USBÀܳ¤Ë¤è¤ë°Å¹æ²½¥Ç¥Ð¥¤¥¹¤Î³«È¯
Ãø¼Ô ȬÌÚ¶¶ Ϲ¨, *ÌÚ¼ À¿Áï(¿ÀÆàÀ²ÊÂç³Ø ¾ðÊó³ØÉô¾ðÊ󹩳زÊ), Åĸý μ(É𢹩¶ÈÂç³Ø ¹©³ØÉôÀ¸Âΰ幩³Ø²Ê)
Pagepp. 507 - 510
Keyword USB, °Å¹æ²½
Abstract½¾Íè¤ÎUSB¥á¥â¥ê¤Î°Å¹æ²½¤ÏPC¤Ë¤ª¤±¤ë¥½¥Õ¥È¥¦¥§¥¢½èÍý¤Ê¤É¤Ë¤è¤ê¡¤µ¡´ï¤Ë¤ª¤±¤ë°Í¸À­¤¬¹â¤¤¡¥¤è¤Ã¤Æ¡¤°Å¹æ²½¤ª¤è¤Óǧ¾Úµ¡Ç½¤òPC¤äUSB¥á¥â¥ê¤«¤éʬΥ¤·¡¤ÉÔÆÃÄê¤ÎPC¤äUSB¥á¥â¥ê¤Ë¤ÆÍøÍѤǤ­¤ëµ¡´ï¤¬Ë¾¤Þ¤ì¤ë¡¥ ËܹƤǤϤ³¤Î°Å¹æµ¡´ï¥·¥¹¥Æ¥à¤ò³«È¯¤·¤¿¤Î¤Ç¡¤Êó¹ð¤ò¤¹¤ë¡¥

Âê̾Model-Based RTL Designs of IEEE802.11n Wireless LAN System
Ãø¼Ô *Yuhei Nagao, Masayuki Kurosaki, Hiroshi Ochi(Kyushu Institute of Technology)
Pagepp. 511 - 514
Keyword ̵ÀþLAN, IEEE802.11n, MIMO, RTL, FPGA
AbstractIn this paper, we present two register-transfer level (RTL) designs of physical layer-baseband (PHY-BB) for IEEE802.11n wireless local area network (WLAN) system. One is two antennas model which is able to achieve 144Mbps with 20MHz bandwidth, and the other is four antennas model which is able to achieve 600Mbps with 40MHz bandwidth. We engineer them applying a model-based design process (MBDP) which can accelerate and simplify the development. The results of logic synthesis and the implementation experiments on prototyping FPGA board are reported.

Âê̾A Spreading Code Search in Frequency Domain for UWB System and Its Application to IEEE 802.15.4a IR-UWB System
Ãø¼Ô Daegun Oh, Sanghun Yoon, *Jong-Wha Chong(Hanyang University)
Pagepp. 515 - 518
Keyword spectral peak to average ratio (SPAR), IR-UWB, spreading code
AbstractIn this paper, we propose a novel search method for spreading codes of UWB system and apply it to IEEE 802.15.4a IR-UWB system. To find out the codes with low spectral peak to average ratio(SPAR) and good auto-correlation, we search spreading codes in spectral area by generating the spectrum composed of constant amplitude and random phase because a code of flat power spectral density(PSD) is to have a sync-shaped auto-correlation function in time domain and very low SPAR. The proposed search method found out the code set which had SPAR reduced about 1.1079dB, Golay merit factor(GMF) improved by 49% and almost the same modified Golay merit factor(MGMF) compared to the code set used as preambles for IR-UWB system.

Âê̾The Frequency Offset Estimation Algorithm for DBO-CSS
Ãø¼Ô Seung-Han Baik, Sang-Hun Yoon, *Jong-Wha Chong(Hanyang University)
Pagepp. 519 - 522
Keyword DBO-CSS, chirp, frequency offset
AbstractIn this paper, we propose a new frequency offset estimation algorithm for DBO-CSS which is a standard for wireless personal area network (WPAN). In DBO-CSS, there can be several integer multiples of 2¦Ð in the phase rotation caused by the frequency offset because of the long time difference between the samples of differential relation and the high permissible frequency offset of the crystal oscillators between the transmitter and the receiver. The integer part of the phase rotation can not be determined by the usual estimation methods based on auto-correlation. In this paper, we propose an estimation algorithm by using the relationships of each subchirp signals to find the integer part without phase ambiguity. The proposed method is based on the matched filter in order to maximize the received signal-to-noise ratio (SNR) before differential demodulation. As a result, we can estimate the frequency offset without the phase ambiguity and enhance about 1.1dB SNR compared with the methods based on the autocorrelation.