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abstract Ëܸ¦µæ¤Ç¤ÏEµéȯ¿¶´ï¤Ë¤ª¤±¤ë¿·¤·¤¤Àß·×ÊýË¡¤òÄó°Æ¤¹¤ë. Ëܸ¦µæ¤ÎÆÃħ¤Ï, ¼«Î忶ư·Ï¤Îȯ¿¶´ï¤ò¶¯À©¿¶Æ°·Ï¤È¤ß¤Ê¤·, ¤½¤Î¥Õ¥£¡¼¥É¥Ð¥Ã¥¯ÇÈ·Á¤ò¥Á¥å¡¼¥Ë¥ó¥°¤·¤Æ¤¤¤ëÅÀ¤Ë¤¢¤ë. Äó°Æ¤¹¤ëÀß·×ÊýË¡¤Ï²óÏ©ÊýÄø¼°¤ÈÀß·×»ÅÍͤΤߤòɬÍפȤ¹¤ë. Àß·×ÃͤÎƳ½Ð¤Î¤¿¤á¤Î¾¤Î·×»»²áÄø¤Ï·×»»µ¡¤Ë¤è¤ê¼Â¹Ô¤¹¤ë. ¤½¤Î·ë²Ì, ½¾Íè¤ÎÀß·×ÊýË¡¤Ç¤ÏÀß·×½ÐÍè¤Ê¤¤Àß·×»ÅÍͤˤª¤¤¤Æ¤â Eµéȯ¿¶´ï¤òÀ߷פ¹¤ë¤³¤È¤¬²Äǽ¤Ë¤Ê¤ë. ÆóÄ̤ê¤ÎÀß·×»ÅÍͤDzóÏ©¼Â¸³¤ò¹Ô¤¦¤³¤È¤Ë¤è¤ê, ¼Â¸³·ë²Ì¤È ·×»»·ë²Ì¤ÎÎɹ¥¤Ê°ìÃפò³Îǧ¤·, Äó°Æ¤¹¤ëÀß·×ÊýË¡¤ÎÍ­¸úÀ­¤ò¼¨¤¹. °ìÊý¤Î¼Â¸³¤Ë¤ª¤¤¤Æ¬Äꤵ¤ì¤¿ÅÅÎÏÊÑ´¹¸úΨ¤Ï, Æ°ºî¼þÇÈ¿ô2.02MHz, ½ÐÎÏÅÅÎÏ6.8W¤Î¾ò·ï²¼¤Ë¤ª¤¤¤Æ90.7\%¤ò¼Â¸½¤·, ¤â¤¦°ìÊý¤Ë¤ª¤¤¤Æ¤Ï, Æ°ºî¼þÇÈ¿ô1.97MHz, ½ÐÎÏÅÅÎÏ2.8W¤Î¾ò·ï²¼¤Ë¤ª¤¤¤Æ89.7\%¤ò¼Â¸½¤¹¤ë.

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abstract ÈóÀþ·ÁÌäÂê¤ÎËܼÁŪ¤ÊÍý²ò¤Ë´óÍ¿¤¹¤ë¡¢Ï¢Â³¤Ê¶èʬÀþ·Á(CPWL)¥Ù¥¯¥È¥ë¾ì¤Î²òÀϤϹçÀ®¼ÌÁü¤ÎÍýÏÀ¤ò´ðÁäˤ·¤Æ¤ª¤ê¡¢¤½¤ì¤¾¤ì¤Î¼ÌÁü¤Ï(i) Ķ±Û´Ø¿ô¤«¤é¹½À®¤µ¤ì¡¢(ii)¤½¤ì¤¾¤ì¤ÎÀþ·Á¥Ù¥¯¥È¥ë¾ì¤Î¤¢¤ë¶­³¦¤«¤é½Ðȯ¤·¤¿²ò¤¬ ºÇ½é¤Ë¶­³¦¤ËÌá¤ë¤Þ¤Ç¤Î»þ´Ö¤ò´Þ¤à±¢´Ø¿ô¤ÇÍ¿¤¨¤é¤ì¤ë¡£°ìÈÌŪ¤Ë¤Ï¤½¤Î¤è¤¦¤Ê±¢´Ø¿ô¤Î¸·Ì©²ò¤òµá¤á¤ë¤³¤È¤Ï¤Ç¤­¤º¡¢CPWL¥Ù¥¯¥È¥ë¾ì¤«¤éÀ¸À®¤µ¤ì¤ë¹çÀ®¼ÌÁü¤«¤éÀ®¤ëPoincar\'{e}¼ÌÁü¤Ê¤É¤ò¸·Ì©¤Ë²òÀϤ¹¤ë¤Ë¤ÏÈó¾ï¤Êº¤Æñ¤µ¤¬Â¸ºß¤¹¤ë¡£°ìÊý¡¢ÀºÅÙÊݾÚÉÕ¤­¿ôÃÍ·×»»¤¬È¯Å¸¤·¡¢·×»»µ¡±çÍѸ·Ì©¾ÚÌÀ¤Ê¤É¤ËÍøÍѤµ¤ì¤ë¶è´Ö±é»»¤¬´Êñ¤«¤Ä¹â®¤ËÍøÍѤǤ­¤ë´Ä¶­¤Ë¤Ê¤ê»Ï¤á¤Æ¤¤¤ë¡£¤·¤¿¤¬¤Ã¤Æ¡¢¤½¤Î¤è¤¦¤ÊPoincar\'{e}¼ÌÁü¤Ê¤É¤ò¸·Ì©¤Ë²òÀϤ¹¤ë¤¿¤á¤Ë¡¢MATLAB¤ÈINTLAB toolbox~\cite{rump}¤òÍøÍѤ·¤¿¶è´Ö±é»»¤òÍѤ¤¤ÆCPWL¥Ù¥¯¥È¥ë¾ì¤«¤éÀ®¤ëPoincar\'{e}¼ÌÁü¤Ê¤É¤ÎÀºÅÙÊݾڤò¹Ô¤¦ÊýË¡¤òÄó°Æ¤·¡¢¶ñÂÎÎã¤òÄ̤·¤Æ¤½¤Î¼êË¡¤ÎÍ­¸úÀ­¤Ë¤Ä¤¤¤ÆµÄÏÀ¤¹¤ë¡£

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abstract Í­¸Â·å±é»»¤Ë¤è¤ê¥«¥ª¥¹¼ÌÁü¤ò¼Â¸½¤¹¤ë¤È¡¢ËÜÍè¤Î¥«¥ª¥¹¤Ë¤Ï¸ºß¤·¤Ê¤¤Ä¹¼þ´üÀ­¤¬È¯À¸¤·¤¿¤ê¡¢½é´üÃͱÔÉÒÀ­¤¬Îô²½¤·¤¿¤ê¤¹¤ë¤³¤È¤¬¤ï¤«¤Ã¤Æ¤¤¤ë¡£¤³¤Î¤è¤¦¤Ê¥«¥ª¥¹¤Ïµ¿»÷¥«¥ª¥¹¤È¸Æ¤Ð¤ì¤Æ¤¤¤ë¡£ ¸½Í­¤Î¥³¥ó¥Ô¥å¡¼¥¿¤òÍøÍѤ¹¤ë°Ê¾å¡¢µ¿»÷¥«¥ª¥¹¤Ë¤Ê¤ë»ö¤òÈò¤±¤ë¤³¤È¤ÏÉÔ²Äǽ¤Ç¤¢¤ë¤¬¡¢¥«¥ª¥¹¤òÍøÍѤ·¤¿ÈëÌ©ÄÌ¿®¤ä¿½ÅÄÌ¿®¤Î¿®ÍêÀ­¤ò¹â¤á¤ë¤Ë¤Ï¡¢¼ÂÍѾåÌäÂ꤬ȯÀ¸¤·¤Ê¤¤ÄøÅ٤ˡ¢¿¿¤Î¥«¥ª¥¹¤Ë¶á¤¤ÆÃÀ­¤òÆÀ¤ë¤³¤È¤Ï½ÅÍפʲÝÂê¤Ç¤¢¤ë¡£¤½¤Î¤¿¤á¤Ë¤â¡¢¤Þ¤º¿®¹æ¤Î¡Öµ¿»÷¥«¥ª¥¹Å١פÎÆÃÄ꤬˾¤Þ¤ì¤ë¤â¤Î¤È¹Í¤¨¤ë¡£ Ëܸ¦µæ¤Ç¤Ï¡¢Lyapunov»Ø¿ô¤Î·×»»ÊýË¡¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤ò²Ã¤¨¡¢µ¿»÷¥«¥ª¥¹¤ÎÅٹ礤¤ò¸¡Äꤹ¤ë°ì¼êË¡¤òÄó°Æ¤¹¤ë»ö¤òÌÜŪ¤È¤·¤¿¸¡Æ¤¤ò¹Ô¤¦¡£½¾Íè¤ÎLyapunov»Ø¿ô·×»»Ë¡¤Ç¤Ï¡¢½Ö»þŪ¤Êȯ»¶¡¿¼ý«¤ÎÅٹ礤¤òÍѤ¤¤Æ·×»»¤ò¿Ê¤á¤ë¤¿¤á¡¢Í­¸Â·å±é»»¤Ë¤è¤ë±Æ¶Á¤ä¡¢Èó¾ï¤ËŤ¤¼þ´ü¤òȯÀ¸¤¹¤ëÍ×°ø¤ò¹Íθ¤¹¤ë¤³¤È¤¬º¤Æñ¤È¤Ê¤ë¡£ Ëܸ¦µæ¤Ç¤Ï¡¢½Ö»þŪ¤Êȯ»¶¡¿¼ý«¤Ç¤Ï¤Ê¤¯¡¢Ã»´üŪ¡¢Ãæ´üŪ¤¢¤ë¤¤¤ÏĹ´üŪ¤Êɾ²Á¤ò¹Ô¤¦»ö¤òÌÜŪ¤È¤·¤Æ¡¢Ê£¿ô²ó¤Î¼ÌÁü¤ò¤Þ¤È¤á¤Æɾ²Á¤¹¤ëÊýË¡¤òÄó°Æ¤¹¤ë¡£¤³¤ÎÊýË¡¤òÍѤ¤¤Æ¥«¥ª¥¹¼ÌÁü¤òɾ²Á¤·¤¿¾ì¹ç¡¢Í­¸Â·å±é»»¤Î±Æ¶Á¤Ë¤è¤ê¼þ´üÀ­¤¬È¯À¸¤·¤¿¤³¤È¤òɾ²Á¤Ç¤­¤Æ¤ë¤â¤Î¤È¹Í¤¨¤ë¡£


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keywords ¥¹¥Ñ¥¤¥¯¥Ë¥å¡¼¥í¥ó, Î̻Ҳ½, ¥°¥ì¥¤Éä¹æ, A/DÊÑ´¹
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Âê̾Statistical Property of Chaos Associative Memory
Ãø¼Ô ¡ûMasahiro Nakagawa(Nagaoka University of Technology)
pagespp. 31 - 36
keywords Chaos Neuron, Autoassociation, Neural Network, Invariant Measure, Statisitical Analysis
abstract In this paper, the memory capacity of the autoassociative model is investigated on the basis of the statistical neuronic approach to explore the advantage the present chaos neuron model with the sinusoidal activation function.¡¡In practice the Frobenius-Perron equations for a few chaos neurons are solved by means of the Fourier expansion scheme in order to derive the invariant measure. To explore the importance of the symmetry of the invariant measure, i.e. chaos neuron dynamics previously proposed, the simultaneous linear characteristic equation for the expansion coefficients will be numerically evaluated. It is also concluded that the symmetry of the invariant measure, which is found to be different for each chaos neurons, may be closely related to the ability of the chaos neurons applied to the practical applications with the neural networks, e.g. associative memory and learning model etc.

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pagespp. 37 - 40
keywords ǧ¼±½èÍý, ¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯
abstract °ìÈ̤Ëǧ¼±½èÍý¤ò¹Ô¤Ê¤¦¾ì¹ç¡¢¤½¤ÎÁ°½èÍý¤Ï¤½¤ÎÀ­Ç½¤òÂ礭¤¯º¸±¦¤¹¤ë½ÅÍפÊÍ×ÁǤǤ¢¤ë¡£¤³¤ì¤Ï¡¢¤¢¤é¤«¤¸¤áÆþÎϤµ¤ì¤¿¥Ç¡¼¥¿¤Èǧ¼±¤¹¤ë¥Ç¡¼¥¿¤¬´°Á´¤Ë°ìÃפ»¤º¡¢ÏĤߤä¥Î¥¤¥º¤ò´Þ¤à¤³¤È¤¬¸¶°ø¤Ç¤¢¤ë¡£ ËÜȯɽ¤Ç¤Ï¡¢¤³¤Î¤è¤¦¤ÊÌäÂê¤ò²ò·è¤¹¤ë¤¿¤á¡¢£²¸Ä¤Î¥Ç¡¼¥¿¤òÈæ³Ó¤¹¤ë»þ¡¢ÏĤߤò½¤Àµ¤·¤¿¸å¤Ë¤½¤Îµ÷Î¥¤ò·×»»¤¹¤ëÊýË¡¤ò¸¡Æ¤¤¹¤ë¡£ËÜÊýË¡¤Ï¡¢¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯¤Îµ»½Ñ¤òÍѤ¤¤¿¼ÂÁõ¤¬²Äǽ¤Ç¤¢¤ê¡¢¹â®¤Ë·×»»¤Ç¤­¤ë¤³¤È¤¬´üÂԤǤ­¤ë¡£


¥»¥Ã¥·¥ç¥ó A1-3 ¥Ë¥å¡¼¥í¥Ç¥Ð¥¤¥¹¤È¿À·Ð²Ê³Ø(1) (13:30-15:00)
ºÂĹ: ²ÆÌÜ µ¨Âåµ× (¶å½£¹©¶ÈÂç³ØÂç³Ø±¡À¸Ì¿Âι©³Ø¸¦µæ²Ê)

Âê̾(¾·ÂÔ)¿Í¹©»ë³ÐÌîVE1¡§Ç¾¤Ë³Ø¤ó¤À½¸ÀÑ¥í¥Ü¥Ã¥È¥Ó¥¸¥ç¥ó
Ãø¼Ô ¡ûȬÌÚ Å¯Ìé(ÂçºåÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê)
pagespp. 41 - 43
keywords retina, cortex, analog VLSI, FPGA, robot vision
abstract The brain computes sensory information with a quite different algorithm/architecture from the one that current engineering systems are operating with. We are aiming at reconstructing the unique algorithm/architecture with the silicon technology not only to develop novel computer systems but also to disclose computational principles underlying the neuronal network of the brain. On these backgrounds, we have designed an analog VLSI (Very Large Scale Integrated) circuit mimicking the parallel architecture and computations of the primary Visual Cortex. Using the system, we were able to carry out the image processing of natural scenes in real-time under natural illumination.

Âê̾(¾·ÂÔ)¿À·Ð²Ê³ØŪÃθ«¤Ë´ð¤Å¤¤¤¿³¤ÇÏ¿À·Ð²óÏ©¥â¥Ç¥ë¤Èµ­²±µ¡Ç½
Ãø¼Ô ¡ûÎÓ ½éÃË(¶å½£¹©¶ÈÂç³Ø Âç³Ø±¡À¸Ì¿Âι©³Ø¸¦µæ²Ê), µÈÅÄ ´ð¼£(¶å½£¹©¶ÈÂç³Ø Âç³Ø±¡¾ðÊ󹩳ظ¦µæ²Ê), ¸Þ½½Íò ½á(¶å½£¹©¶ÈÂç³Ø Âç³Ø±¡À¸Ì¿Âι©³Ø¸¦µæ²Ê)
pagespp. 45 - 50
keywords ³¤ÇÏ, ¿À·Ð²óÏ©ÌÖ¥â¥Ç¥ë, µ­²±µ¡Ç½
abstract ËÜÊó¹ð¤Ç¤Ï¡¢¤Þ¤º¡¢CA3¿À·Ð²óÏ©Ì֤ζɽêÎΰè¤Ë¥·¡¼¥¿¥Ð¡¼¥¹¥È¿®¹æ¤ò²Ã¤¨¤ë¤È¡¢¤½¤³¤«¤é¥Ë¥å¡¼¥í¥ó³èÆ°¤ÎÊü¼Í¾õÅÁÇŤ¬À¸¤¸¤ë¤³¤È¤ò¼¨¤¹¡£¤³¤Î¤È¤­¡¢CA3¿À·Ð²óÏ©ÌÖ¤ÎÈ¿²óÀ­¶½Ê³·ë¹ç¤Ï¥¹¥Ñ¥¤¥¯¥¿¥¤¥ß¥ó¥°¤Ë°Í¸¤·¤¿²ÄÁºÅªÊѲ½¡ÊSTDP¡Ë¤òµ¯¤³¤¹¡£¼¡¤Ë¡¢¤³¤Î¥Ë¥å¡¼¥í¥ó³èÆ°¤ÎÊü¼Í¾õÅÁÇŤòÍѤ¤¤Æ¡¢ÆþÎϤµ¤ì¤ëÊ£¿ô¤Î¥·¡¼¥¿¥Ð¡¼¥¹¥È¿®¹æ¤Î»þ´ÖŪ½ç½ø´Ø·¸¤ò³Ø½¬¤¹¤ë¥Ë¥å¡¼¥í¥ó¤¬CA1ÎÎÌî¤Ë·ÁÀ®¤µ¤ì¤ë¤³¤È¤ò¼¨¤¹¡£ºÇ¸å¤Ë¡¢ÓÌÆâÈé¼Á¡Ý³¤ÇÏ¥·¥¹¥Æ¥à¤Ë¤ª¤¤¤Æ¾ì½ê¾ðÊó¤Î½ç½ø´Ø·¸¤¬¦È¥ê¥º¥à¤Î°ÌÁê¤Ë¥³¡¼¥É¤µ¤ì¤ë¤È¤¤¤¦¿À·ÐÀ¸Íý³Ø¼Â¸³·ë²Ì¤òºÆ¸½¤¹¤ë»î¤ß¤ò´Êñ¤Ë¾Ò²ð¤¹¤ë¡£


¥»¥Ã¥·¥ç¥ó A1-4 ¥Ë¥å¡¼¥í¥Ç¥Ð¥¤¥¹¤È¿À·Ð²Ê³Ø(2) (15:30-17:00)
ºÂĹ: ²ÆÌÜ µ¨Âåµ× (¶å½£¹©¶ÈÂç³ØÂç³Ø±¡À¸Ì¿Âι©³Ø¸¦µæ²Ê)

Âê̾(¾·ÂÔ)Inverse Function Delayed ¥Ë¥å¡¼¥í¥ó¥â¥Ç¥ë¤È¤½¤Î±þÍÑ
Ãø¼Ô ¡ûÁáÀî µÈ¹°(ÅìËÌÂç³Ø)
pagespp. 51 - 56
keywords µÕ´Ø¿ô, ÃÙ±ä, ºÇŬ²½ÌäÂê, ÉéÀ­Äñ¹³, ID
abstract Hopfield¥â¥Ç¥ë¤ËÂåɽ¤µ¤ì¤ë½¾Íè¤Î¥Í¥Ã¥È¥ï¡¼¥¯½Å»ë¤Î¥â¥Ç¥ë¤Ç¤Ï¡¢¥Ë¥å¡¼¥í¥ó¤ÎÆ°ºî¤ÏÊ¿¶Ñȯ²ÐÉÑÅÙ¤òɽ¸½¤¹¤ë°Ù¤Ë¡¢¥¢¥¯¥Æ¥£¥Ö¤Ê¿¶Æ°¸½¾Ý¤Ê¤É¤òƳÆþ¤¹¤ë¤³¤È¤Ï½ÐÍè¤Ê¤«¤Ã¤¿¡£ ¤½¤³¤Ç¡¢²æ¡¹¤Ï¿·¤·¤¤¥â¥Ç¥ë¤È¤·¤ÆInverse Function Delayed¥â¥Ç¥ë¤òÄó°Æ¤·¤Æ¤¤¤ë¡£¤³¤Î¥Ë¥å¡¼¥í¥ó¥â¥Ç¥ë¤ÏBVP¥â¥Ç¥ë¤ÈƱÍͤ˥¢¥¯¥Æ¥£¥Ö¤Ê¿¶Æ°¸½¾Ý¤ò¼¨¤·¡¢¤«¤Ä¡¢½¾Íè¤Î¥Í¥Ã¥È¥ï¡¼¥¯½Å»ë¤Î¥â¥Ç¥ëƱÍͤʥ·¥Ê¥×¥¹²Ù½Å¤ÎÀßÄê¼êË¡¤¬ÍøÍѤǤ­¤ë¡£¤³¤ÎÀ­¼Á¤òÍøÍѤ·¤¿±þÍѤȤ·¤Æ¡¢ºÇŬ²½ÌäÂê¤ÎÀµ²òõºº¤Ë¤ª¤¤¤ÆÌäÂê¤È¤µ¤ì¤Æ¤¤¤¿¶Ë¾®ÃÍÌäÂê¤ò²óÈò²Äǽ¤Ç¤¢¤ê¹â¤¤À­Ç½¤òÆÀ¤Æ¤¤¤ë¡£ ËÜȯɽ¤Ç¤Ï¡¢¤³¤Î¥â¥Ç¥ë¤ÎÀ­¼Á¤òÃæ¿´¤Ë¤½¤Î±þÍÑÎã¤È¤·¤ÆºÇŬ²½ÌäÂê¤Ø¤ÎŬÍѤª¤è¤Ó¡¢½¸ÀѲóÏ©²½¤Ø¸þ¤±¤¿¸¦µæÆâÍƤòȯɽ¤µ¤»¤Æ¤¤¤¿¤À¤­¤Þ¤¹¡£

Âê̾(¾·ÂÔ)³¤ÇϤǴѻ¡¤µ¤ì¤ë¿À·Ð¿¶Æ°¥Í¥Ã¥È¥ï¡¼¥¯
Ãø¼Ô ¡û²ÆÌÜ µ¨Âåµ×(¶å½£¹©¶ÈÂç³ØÂç³Ø±¡)
pagespp. 57 - 62
keywords ¿À·Ð¿¶Æ°, ³¤ÇÏ¥¹¥é¥¤¥¹, µ­²±¾ðÊó½èÍý, ¥Ë¥å¡¼¥í¥ó, ¥°¥ê¥¢
abstract ǾÆâ¤Ë¤Ï¡¢ÍÍ¡¹¤Ê¿À·Ð¿¶Æ°¤¬Â¸ºß¤·¡¢¤½¤Î°ìÉô¤ÏǾÇȤȤ·¤Æ´Ñ»¡¤µ¤ì¤ë¡£Ç¾ÇȤϿ¶Æ°¼þÇÈ¿ô¤Ë¤è¤Ã¤Æ¶èÊ̤µ¤ì¡¢¥é¥Ã¥È¡¢¥Þ¥¦¥¹¤Ê¤É¤Îưʪ¤Ç¤Ï¡¢4-12Hz¤ò¦ÈÇÈ¡¢12-30Hz¤ò¦ÂÇÈ¡¢30Hz°Ê¾å¤ò¦ÃÇȤÈʬÎव¤ì¤Æ¤¤¤ë¡£Ç¾Æâ´ï´±¤Ç¤¢¤ë³¤ÇϤϵ­²±¾ðÊó½èÍý¤Ë´Ø·¸¤·¤Æ¤¤¤ëÉô°Ì¤Ç¤¢¤ë¤¬¡¢¤Þ¤¿¾åµ­¿À·Ð¿¶Æ°¤¬´Ñ¬¤µ¤ì¤ëÉô°Ì¤Ç¤â¤¢¤ë¡£¼ÂºÝ¤Ë¡¢³¤ÇÏ¥¹¥é¥¤¥¹É¸ËܤòÍѤ¤¤¿Åŵ¤À¸Íý³Ø¼êË¡¤òÍѤ¤¤ë¤È¡¢¾åµ­¥ê¥º¥à¤¬´Ñ»¡¤Ç¤­¤ë¡£¤µ¤é¤Ë¦ÈÇȤ˴ؤ·¤Æ¤Ïµ­²±³Ø½¬²áÄø¤È¤Î´Ø·¸¤ò¼¨º¶¤¹¤ë·ë²Ì¤¬ÆÀ¤é¤ì¤Æ¤¤¤ë¡£ËÜÏÀʸ¤Ç¤Ï¡¢Ç¾Æ⿶ư¸½¾Ý¤Ë´Ø¤¹¤ëÅŵ¤À¸ÍýµÚ¤Ó·×»»µ¡¼Â¸³¤Ë¤è¤ë·ë²Ì¤ò¾Ò²ð¤·¡¢¿À·Ð¿¶Æ°¤òÍѤ¤¤¿Ç¾Æâ¾ðÊó½èÍý²áÄø¤Ë´Ø¤·µÄÏÀ¤¹¤ëͽÄê¤Ç¤¢¤ë¡£



¥»¥Ã¥·¥ç¥ó Ba1-1 ¥¢¥Ê¥í¥°±þÍÑ (9:25-10:15)
ºÂĹ: ¹â·¦ Åý (Ãæ±ûÂç³Ø)

Âê̾¹â¼þÇÈ¥¢¥Ê¥í¥°LSI¤Î¥Æ¥¹¥ÈÍưײ½²óÏ©
Ãø¼Ô Ááºä ľ¿Í, ¾®ÎÓ ½ÕÉ×(·²ÇÏÂç³Ø¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê), ¡û¾®¼¼ µ®µª(¥¢¥¸¥ì¥ó¥È¡¦¥Æ¥¯¥Î¥í¥¸¡¼¡¦¥¤¥ó¥¿¡¼¥Ê¥·¥ç¥Ê¥ë³ô¼°²ñ¼Ò, ·²ÇÏÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê¼Ò²ñ¿ÍÇî»Î²ÝÄø), ¼ò´ó ´² (¥¢¥¸¥ì¥ó¥È¡¦¥Æ¥¯¥Î¥í¥¸¡¼¡¦¥¤¥ó¥¿¡¼¥Ê¥·¥ç¥Ê¥ë³ô¼°²ñ¼Ò)
pagespp. 63 - 68
keywords LSI¥Æ¥¹¥È, ¥¢¥Ê¥í¥°²óÏ©, BIST, ¥µ¥ó¥×¥é, Åù²Á»þ´Ö¥µ¥ó¥×¥ê¥ó¥°
abstract ¶áǯ¡¢·ÈÂÓÅÅÏá¢ÌµÀþLAN¡¢Bluetooh Åù¤ËÍѤ¤¤é¤ì¤Æ¤¤¤ë¹â¼þÇÈ¥¢¥Ê¥í¥°º®ºÜLSI¤Ï ¤½¤Î¥Æ¥¹¥È¤¬µ»½ÑŪ¤ËÆñ¤·¤¯¤Ê¤Ã¤Æ¤­¤Æ¤ª¤ê¡¢¤Þ¤¿¤½¤Î¥Æ¥¹¥È¤Î¤¿¤á¤Ë¤Ï¹â²Á¤Ê LSI¥Æ¥¹¥¿¡¼¡¢¥ª¥·¥í¥¹¥³¡¼¥×¡¢¥¹¥Ú¥¯¥È¥ë¡¦¥¢¥Ê¥é¥¤¥¶Åù¤òÍѤ¤¤ëɬÍפ¬¤¢¤ê ¥Æ¥¹¥È¡¦¥³¥¹¥È¤¬ÌäÂê¤Ë¤Ê¤Ã¤Æ¤­¤Æ¤¤¤ë¡£¤³¤ÎÏÀʸ¤Ç¤Ï ¹â¼þÇÈ¥¢¥Ê¥í¥°LSI¤Î ¥¢¥Ê¥í¥°½ÐÎÏ¿®¹æ¥Ô¥ó¤ÎÁ°ÃÊ¡Ê¥Á¥Ã¥×Æâ¡Ë¤Ë¹­ÂӰ衦¹âÀºÅÙ¥µ¥ó¥×¥é²óÏ©¤ò Àߤ±¥Æ¥¹¥ÈÍưײ½¤ò¿Þ¤ê¥Æ¥¹¥È¤Î µ»½ÑŪº¤Æñ¤µ¤È¥³¥¹¥È¤ÎÌäÂê¤òÄ㸺¤¹¤ë¤³¤È¤òÄó°Æ¤¹¤ë¡£ ¤½¤Î¥µ¥ó¥×¥é²óÏ©¤Ï¥Æ¥¹¥È»þ¤ËÆþÎÏ¿®¹æ¤¬·«¤êÊÖ¤·ÇÈ·Á¤Ç¤¢¤ë¤³¤È¤ò ÍøÍѤ·¤Æ¾å°Ì¥Ó¥Ã¥È¤ÏÃ༡Èæ³Ó¶á»÷ADC¤Ç¥Ç¥¸¥¿¥ëŪ¤ËÀ¸À®¤· »Ä¤ê¤Î²¼°Ì¥Ó¥Ã¥È¤Ï¥È¥é¥Ã¥¯¡¦¥Û¡¼¥ë¥É²óÏ©¤Ç¥¢¥Ê¥í¥°Åª¤ËÀ¸À®¤¹¤ë¡£ ¤³¤Î¤è¤¦¤Ë¤¹¤ë¤³¤È¤Ç¥¢¥Ê¥í¥°²óÏ©¤Ø¤ÎÀ­Ç½Í׵᤬´ËϤµ¤ì¤ë¤Î¤Ç ÍÍ¡¹¤Ê¡ÊºÇû¥Á¥ã¥Í¥ëĹ¤Î¡ËCMOS¥×¥í¥»¥¹¡¢ÅŸ»ÅÅ°µ¤Î Èï¥Æ¥¹¥ÈLSIÆâ¤Ç Èæ³ÓŪÍÆ°×¤Ë Á´ÂΤȤ·¤Æ¹­ÂӰ衦¹âÀºÅÙ¥µ¥ó¥×¥é²óÏ©¤ò¼Â¸½¤Ç¤­¤ë¡£

Âê̾¥Á¥ã¡¼¥¸¥Ý¥ó¥×ÅŸ»²óÏ©¤Î¹âÀ­Ç½²½¤Î¸¡Æ¤
Ãø¼Ô ¡û¾¾Àî Êþ¹­, »± Úß, ¾®ÎÓ ½ÕÉ×, µÈß· Èþ¹á, ¹õ´ä ¿­¹¬(·²ÇÏÂç³Ø¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê ¾®ÎÓ¸¦µæ¼¼), ̾Ìî δÉ×, ÎëÌÚ Ã£Ìé, ½÷²° ²Âδ(»°ÍÎÅŵ¡(³ô))
pagespp. 69 - 74
keywords ÅŸ», DC-DCÊÑ´¹, ¥Á¥ã¡¼¥¸¥Ý¥ó¥×, ¸úΨ
abstract ·ÈÂÓµ¡´ï¤Ë»ÈÍѤ¹¤ë¤¿¤á¤Î¹â¸úΨ¡¦Äã¥Î¥¤¥º¤Ç¥³¥¤¥ë¤ò»ÈÍѤ¤¤Ê¤¤ ¥Á¥ã¡¼¥¸¥Ý¥ó¥×ÅŸ»²óÏ©¤Î¹âÀ­Ç½²½¤Ë¸þ¤±¤Æ¼¡¤Î¤³¤È¤ò¹Ô¤Ã¤¿¤Î¤ÇÊó¹ð¤¹¤ë¡£ (i)Àè¤ËÄó°Æ¤·¤¿¥Ö¡¼¥È¥¹¥È¥é¥Ã¥×¡¦¥²¡¼¥ÈžÁ÷¥¹¥¤¥Ã¥Á¤òÍѤ¤¤¿¥Á¥ã¡¼¥¸¥Ý¥ó¥×²óÏ©¹½À®¤ò1.2$\mu$m CMOS¥×¥í¥»¥¹¤Ç»îºî¤·¡¢¤½¤Î¥Á¥Ã¥×¤Î¬Äêɾ²Á¤ò¹Ô¤Ã¤¿¡£ (ii)Éé²ÙÅÅή¤ÎÊÑÆ°¤Ë±þ¤¸¤Æ¥¯¥í¥Ã¥¯¼þÇÈ¿ôÀ©¸æ¤¹¤ë¤³¤È¤Ç¾º°µ·¿¥Á¥ã¡¼¥¸¥Ý¥ó¥×²óÏ©¤ò¹â¸úΨ²½¤¹¤ëÊý¼°¤òÄó°Æ¤·¡¢¤½¤Î¥¯¥í¥Ã¥¯¼þÇÈ¿ôÀ©¸æ²óÏ©¤Î¹½À®¤ò¸¡Æ¤¤·¤¿¡£


¥»¥Ã¥·¥ç¥ó Ba1-2 ¥¢¥Ê¥í¥°½¸ÀѲóÏ©¥Ö¥í¥Ã¥¯ (10:45-12:00)
ºÂĹ: ʼ¸Ë ÌÀ (ÅìµþÍý²ÊÂç)

Âê̾¸íº¹ÅÅήÂǤÁ¾Ã¤·Ë¡¤òÍѤ¤¤¿ÄãÏÄ¤ß OTA
Ãø¼Ô ¡ûÃÓÅÄ ½Ó²ð(Å쳤Âç³Ø¹©³ØÉôÅŻҹ©³Ø²Ê), ÅÏÉô μ(Å쳤Âç³Ø¹©³Ø¸¦µæ²ÊÅŻҹ©³ØÀ칶), ¹â·¦ Åý(Ãæ±ûÂç³Ø Íý¹©³ØÉô Åŵ¤ÅŻҾðÊóÄÌ¿®¹©³Ø²Ê), ¹â·¦ ¤«¤ò¤ê(ÌÀ¼£Âç³Ø)
pagespp. 75 - 80
keywords OTA, °ÜÆ°Å٤θº¾¯, ÄãÅŸ»ÅÅ°µ
abstract In this paper, we propose a low distortion OTA. First the dependence of the mobility reduction and VGS about MOSFET¡Çs to work in the non-saturation area is examined. Next, MOSFET¡Çs having the Error Current Cancellation Technique using complementary input voltage in the two same channel-ratio is proposed. The characteristics of the proposed OTA have been confirmed by SPICE simulation.

Âê̾Ʊ°ì¥Á¥ã¥Í¥ëMOSFET¤Î¤ß¤ÇÅÅ°µ-ÅÅήÊÑ´¹¤ò¼Â¸½¤·¤¿rail-to-rail OTA¤Î¹½À®Ë¡
Ãø¼Ô ²Ï¹ç ·Ä¸ç, ¡û¹â°æ ¿­ÏÂ(Åìµþ¹©·ÝÂç³Ø)
pagespp. 81 - 86
keywords rail-to-rail, ÅÅ°µ¡¦ÅÅήÊÑ´¹, CMOSFET
abstract In this paper, rail-to-rail OTA utilizing voltage-current conversion circuit which composed of single channel MOSFETs is proposed. The proposed conversion circuit is realized with two circuit blocks. One of them consists of MOSFET in triode region and the other a pair of MOSFETs in saturation region and cut off region. Combination each part of operating region of the circuit blocks achieves rail-to-rail operation of voltage-current conversion. Rail-to-rail OTA is proposed using the proposed conversion circuit. HSPICE simulations are performed to verify the validity of the proposed rail-to-rail OTA and simulation results indicate good performance. As an application example, 2nd-order LPF is realized using the proposed OTAs.

Âê̾Linear CMOS Four-Quadrant Analog Multiplier Based on Low Distortion Voltage-to-Current Convertor
Ãø¼Ô ¡ûMasakazu Mizokami(Chuo University), Kawori Takakubo(Meiji University), Hajime Takakubo(Chuo University)
pagespp. 87 - 92
keywords four-quadrant analog multiplier, channel length modulation effect, voltage-to-current convertor, current follower
abstract In this paper, a linear CMOS four-quadrant analog multiplier operating under low voltage for short channel devices is proposed , which is consisting of a linear voltage-to-current convertor and a differential input current follower. A linear voltage-to-current convertor with short channel MOSFETs is proposed. All MOSFETs in the linear voltage-to-current convertor have same drain-source voltage in order to eliminate a channel length modulation effect. The characteristic of proposed circuit is confirmed by HSPICE simulation.


¥»¥Ã¥·¥ç¥ó Ba1-3 [¥Á¥å¡¼¥È¥ê¥¢¥ë]¥¢¥Ê¥í¥°CMOS½¸ÀѲóÏ©¤ÎÀ߷סÁ´ðÁ䫤é±þÍÑ¡Á(1) (13:30-14:40)
ºÂĹ: ÏÂÅÄ ÏÂÀé (Ë­¶¶µ»½Ñ²Ê³ØÂç³Ø ¾ðÊ󹩳طÏ)

Âê̾(¾·ÂÔ)MOS¥¢¥Ê¥í¥°½¸ÀѲóÏ©ÆþÌç¡Á¥È¥é¥ó¥¸¥¹¥¿¤«¤é¥Õ¥£¥ë¥¿¤Þ¤Ç¡Á
Ãø¼Ô ¡û¹âÌÚ Ìй§(Åìµþ¹©¶ÈÂç³Ø)
pagespp. 93 - 100
keywords MOS¥¢¥Ê¥í¥°½¸ÀѲóÏ©, MOS¥È¥é¥ó¥¸¥¹¥¿, MOS±é»»ÁýÉý´ï, ¥¹¥¤¥Ã¥Á¥È¥­¥ã¥Ñ¥·¥¿¥Õ¥£¥ë¥¿
abstract ¥¢¥Ê¥í¥°²óÏ©¤È¥Ç¥£¥¸¥¿¥ë²óÏ©¤òƱ»þ¤Ë½¸ÀѲ½¤·¤¿¥¢¥Ê¥í¥°¡¦¥Ç¥£¥¸¥¿¥ëº®ºÜ½¸ÀѲóÏ©¤Ï¡¤ ¥¢¥Ê¥í¥°²óÏ©¤Î¹â®À­¤È¥Ç¥£¥¸¥¿¥ë²óÏ©¤Î½ÀÆ𤵤òÊ»¤»»ý¤Ä¥·¥¹¥Æ¥àLSI¤È¤·¤Æ¶áǯÃíÌܤò½¸¤á¤Æ¤¤¤ë¡¥ ¥¢¥Ê¥í¥°¡¦¥Ç¥£¥¸¥¿¥ëº®ºÜ½¸ÀѲóÏ©¤ÎÀ߷פˤª¤¤¤Æ¡¤»þ´ÖŪÀ©Ìó¤È¤Ê¤Ã¤Æ¤¤¤ë¤Î¤Ï¡¤ ²óÏ©µ¬ÌϤÎÂ礭¤¤¥Ç¥£¥¸¥¿¥ë²óÏ©Éôʬ¤Ç¤Ï¤Ê¤¯¡¤²óÏ©µ¬ÌϤµ¤Ê¥¢¥Ê¥í¥°²óÏ©¤Ç¤¢¤ë¡¥ ËܹƤǤϡ¤°Ê¾å¤ÎÇطʤ«¤é¡¤¥Ð¥¤¥Ý¡¼¥é¥È¥é¥ó¥¸¥¹¥¿¤Ë¤è¤ëÅŻҲóÏ©¤ò´û¤Ë³Ø¤Ó¡¤ ¤³¤ì¤«¤éMOS¥¢¥Ê¥í¥°½¸ÀѲóÏ©¤ò³Ø¤Ü¤¦¤È¤·¤Æ¤¤¤ë¿Í¤òÂоݤȤ·¤Æ¡¤MOS¥È¥é¥ó¥¸¥¹¥¿¤ÎÆÃÀ­¤«¤é MOS¥È¥é¥ó¥¸¥¹¥¿¤òÍѤ¤¤¿¥Õ¥£¥ë¥¿¤Î¹½À®¤Þ¤Ç¤Ë¤Ä¤¤¤Æ³µÀ⤷¤Æ¤¤¤ë¡¥Æäˡ¤CMOS½¸ÀѲóÏ©¤ÎÆÃŤǤ¢¤ë¡¤ ÆÃÀ­¤ÎÍ¥¤ì¤¿¥¹¥¤¥Ã¥Á¤ä¹â¤¤Àþ·ÁÀ­¤òÍ­¤¹¤ëÍÆÎ̤μ¸½¤ÎÍưפµ¤ò³è¤«¤·¤¿¥¹¥¤¥Ã¥Á¥È¥­¥ã¥Ñ¥·¥¿¥Õ¥£¥ë¥¿¤Î ¹½À®¤Ë¤Ä¤¤¤Æ³µÎ¬¤ò½Ò¤Ù¤Æ¤¤¤ë¡¥


¥»¥Ã¥·¥ç¥ó Ba1-4 [¥Á¥å¡¼¥È¥ê¥¢¥ë]¥¢¥Ê¥í¥°CMOS½¸ÀѲóÏ©¤ÎÀ߷סÁ´ðÁ䫤é±þÍÑ¡Á(2) (15:00-17:00)
ºÂĹ: ÏÂÅÄ ÏÂÀé (Ë­¶¶µ»½Ñ²Ê³ØÂç³Ø ¾ðÊ󹩳طÏ)

Âê̾(¾·ÂÔ)¥Ç¥Ð¥¤¥¹¤Î»ëÅÀ¤«¤é¤Î¥¢¥Ê¥í¥°CMOS½¸ÀѲóÏ©¡ÁRF²óÏ©¤ËÂФ¹¤ë¥Ç¥Ð¥¤¥¹µ»½Ñ¤È¥â¥Ç¥ê¥ó¥°¡Á
Ãø¼Ô ¡û°ËÆ£ ¿®Ç·, µÈÉÙ Ä繬(Åì¼Ç)
pagespp. 101 - 106
keywords RFCMOS, ²óÏ©, ¥³¥ó¥Ñ¥¯¥È¥â¥Ç¥ë, RF¥â¥Ç¥ë
abstract ËÜÏÀʸ¤Ç¤ÏCMOS¤ÎÈùºÙ²½¤È¤È¤â¤ËRFÆÃÀ­¤¬¸þ¾å¤·¡¢½¾ÍèSiGe·Ï¤Î¥Ç¥Ð¥¤¥¹¤òɬÍפȤ·¤¿RF²óÏ©¤ò¡¢CMOS¤òÍѤ¤¤¿²óÏ©¤¬¤¹¤Ç¤Ë¥­¥ã¥Ã¥Á¥¢¥Ã¥×¤·¤Æ¤¤¤ë¤³¤È¤ò¼¨¤¹¤È¤È¤â¤Ë¡¢¥Õ¥ê¥Ã¥«»¨²»¤Ê¤É¤ÎÈùºÙ²½¤Ë¤È¤â¤Ê¤¤°­²½¤¹¤ëÆÃÀ­¡¢ÁêÂÐÀºÅ٤ʤɤÎÃí°Õ¤¹¤Ù¤­ÆÃÀ­¤¬¤¢¤ë¤³¤È¤ò¼¨¤·¤¿¡£¤Þ¤¿¡¢¥³¥ó¥Ñ¥¯¥È¥â¥Ç¥ë¤Ë´Ø¤·¤Æ¤Ï¡¢BSIM4¤ÈEKV¥â¥Ç¥ë¤ÎÈæ³Ó¤ò¤ª¤³¤Ê¤¤¡¢¥¢¥Ê¥í¥°À߷׸þ¤­¤ÎɽÌ̥ݥƥ󥷥ã¥ë¥â¥Ç¥ë¤Ç¤¢¤ëEKV¤ÎÍ¥°ÌÀ­¤ò¼¨¤·¤¿¡£ºÇ¸å¤Ë¥¹¥±¡¼¥é¥Ö¥ë¤ÊRFÍÑ´óÀ¸Áǻҥâ¥Ç¥ë¤Ë´Ø¤·¤Æ¤½¤ÎɬÍ×À­¤òÏÀ¤¸¤¿¡£

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pagespp. 107 - 110
keywords ¥¢¥Ê¥í¥°µ¡Ç½Àß·×
abstract ²óÏ©Àß·×¼Ô¤ÎÃæ¤Ç¤â¥¢¥Ê¥í¥°²óÏ©À߷פ˴÷ëá¤ò¼¨¤¹¿Í¤Ï¿¤¤¡£¤³¤ì¤Ï¥Ç¥¸¥¿¥ë²óÏ©²òÀϤ¬ÇÈ·ÁÎΰè¤Ç¤Ê¤µ¤ì¡¢Ä¾´¶Åª¤ËÍý²ò²Äǽ¤Ç¤¢¤ë¤³¤È¤ËÂФ·¡¢¥¢¥Ê¥í¥°²óÏ©²òÀϤο¤¯¤¬¼þÇÈ¿ôÎΰè¤Ç¤Ê¤µ¤ì¤ë¤¿¤áľ´¶Åª¤ÊÍý²ò¤¬Æñ¤·¤¤¤Î¤È¶¦¤Ë¡¢¼þÇÈ¿ôÎΰè¤Ç¤Î²òÀϡʾ®¿®¹æ²òÀϡˤÈÇÈ·ÁÎΰè¤Ç¤Î²òÀÏ¡ÊÂç¿®¹æ²òÀϡˤ¬Ä¾»ëŪ¤Ë·ë¤Ó¤Ä¤«¤Ê¤¤¤È¤³¤í¤Ë¤¢¤ë¤È¹Í¤¨¤é¤ì¤ë¡£¤·¤«¤·¡¢¥¢¥Ê¥í¥°²óÏ©¤È¥Ç¥¸¥¿¥ë²óÏ©¤Î¶¦ÄÌÅÀ¤Ï°Õ³°¤È¿¤¯¡¢Æä˵¡Ç½¥ì¥Ù¥ë¤ÎÀ߷פˤÏÂ礭¤Êº¹°Û¤¬¤Ê¤¤¾ì¹ç¤¬Â¿¤¤¡£ËܹƤǤϡ¢¥Ç¥¸¥¿¥ë²óÏ©¤È¥¢¥Ê¥í¥°²óÏ©¤ÎÆÃħ¤ò¡¢¤½¤Î¶¦ÄÌÀ­¤ÎÌ̤«¤é¹Í»¡¤·¤¿¤¦¤¨¤Ç¡¢¥¢¥Ê¥í¥°¤È¥Ç¥¸¥¿¥ë¤òÍ»¹ç¤µ¤»¤¿¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë¡£

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pagespp. 111 - 116
keywords ¥»¥ó¥µ¥Í¥Ã¥È, ÄãÅÅÎϲóÏ©µ»½Ñ, Èù¾®¿¶Æ°È¯ÅÅ
abstract ȾƳÂν¸ÀѲóÏ©µ»½Ñ¤òÍøÍѤ·¤¿¿·¤·¤¤±þÍÑ¥·¥¹¥Æ¥à¤Î°ì¤Ä¤È¤·¤Æ¡¢¶áǯ¥»¥ó¥µ¥Í¥Ã¥È¤¬ÃíÌܤµ¤ì¤Ä¤Ä¤¢¤ë¡£¥»¥ó¥µ¥Í¥Ã¥È¤È¤Ï¡¢È¾Æ³Âν¸ÀѲóÏ©¥Á¥Ã¥×¤¬¼þÊմĶ­¤Ë¿¿ôÇÛÃÖ¤µ¤ì¤Æ̵Àþ¥Í¥Ã¥È¥ï¡¼¥¯¤ò·ÁÀ®¤·¡¢É¬ÍפȤµ¤ì¤ëÍÍ¡¹¤Ê¾ðÊó¤ò¼èÆÀ²Äǽ¤È¤¹¤ë¥·¥¹¥Æ¥à¤Î³µÇ°¤Ç¤¢¤ë¡£¥»¥ó¥µ¥Í¥Ã¥È¥·¥¹¥Æ¥à¤ÎºÇ¤â½ÅÍפÊÍ×ÁÇÉôÉʤ¬ÌµÀþµ¡Ç½¤ò»ý¤ÄȾƳÂν¸ÀѲóÏ©¥Á¥Ã¥×¤òÍѤ¤¤¿¥»¥ó¥µÃ¼Ëö¤Ç¤¢¤ê¡¢¤³¤ÎüËö¤Ë¤ÏÅŸ»²óÏ©¡¢ÌµÀþÄÌ¿®²óÏ©¡¢ÄãÅÅÎϲóÏ©¡¢¥»¥ó¥µÀ©¸æ²óÏ©¤Ê¤É¡¢Â¿¿ô¤Î¥¢¥Ê¥í¥°²óÏ©¤¬ÍѤ¤¤é¤ì¤Æ¤¤¤ë¡£¤³¤³¤Ç¤Ï¡¢¥»¥ó¥µ¥Í¥Ã¥È±þÍÑ¥·¥¹¥Æ¥à¤Ë¤ª¤¤¤ÆüËö¤ËÍѤ¤¤é¤ì¤ë¥¢¥Ê¥í¥°²óÏ©µ»½Ñ¤ò¾Ò²ð¤¹¤ë¡£



¥»¥Ã¥·¥ç¥ó Bd1-1 ¼Â¸½µ»½Ñ(1) (9:00-10:15)
ºÂĹ: ÌøÀ¸ ¸÷ɧ (ÅìµþÇÀ¹©Âç³Ø¡¡¹©³ØÉô¡¡Åŵ¤ÅŻҹ©³Ø²Ê)

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pagespp. 117 - 122
keywords Ŭ±þ¿®¹æ½èÍý, ¿Ê²½ÏÀŪ·×»»¼êË¡, FPGA, ¿Ê²½ÏÀŪ¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿
abstract ËܹƤǤϡ¤Ãø¼Ô¤é¤¬Äó°Æ¤¹¤ë¿Ê²½ÏÀŪ·×»»¼êË¡¤Ë¤è¤ëŬ±þ¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿¤Ç¤¢¤ë¿Ê²½ÏÀŪ¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿¡Êevolutionarydigital filter: EDF¡Ë¤Î¥Ï¡¼¥É¥¦¥§¥¢¼Â¸½¤Ë¤ª¤±¤ë¹½Â¤¤ò²þÎɤ·¡¤¿·¤·¤¤¥Ï¡¼¥É¥¦¥§¥¢¹½À®¤òÄó°Æ¤¹¤ë¡¥Äó°Æ¤¹¤ë¥Ï¡¼¥É¥¦¥§¥¢¹½À®¤Ç¤Ï¡¤ÄÌ¿®¤Î¥ª¡¼¥Ð¡¼¥Ø¥Ã¥É¤ò¤Ê¤¯¤¹¤¿¤á¤Ë½¾Íè¤Î¥Ï¡¼¥É¥¦¥§¥¢¹½À®¤Ç2¥â¥¸¥å¡¼¥ë¤Ç¹½À®¤·¤Æ¤¤¤¿¥Õ¥£¥ë¥¿¥ê¥ó¥°¡¦Å¬±þÅÙ·×»»¥â¥¸¥å¡¼¥ë¤ÈÀ¸¿£¡¦ÁªÂò¥â¥¸¥å¡¼¥ë¤ò°ìÂ⽤·¤¿¡¥¤µ¤é¤Ë¡¤¥Õ¥£¥ë¥¿¥ê¥ó¥°¡¦Å¬±þÅÙ·×»»¤Ç¿ÍѤµ¤ì¤ëÀÑϱ黻¤ò¸úΨ¤è¤¯½èÍý¤Ç¤­¤ë¤è¤¦¤ËÀÑϱ黻´ï¤òÆ°ºî¤µ¤»¤ë¤³¤È¤Ç¥Õ¥£¥ë¥¿¥ê¥ó¥°¡¦Å¬±þÅÙ·×»»¤ËɬÍפʥ¯¥í¥Ã¥¯¿ô¤òºï¸º¤µ¤»¤Æ¤¤¤ë¡¥

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pagespp. 123 - 128
keywords ¥³¥ó¥Ñ¥¤¥é, ºÇŬ²½, ¼Â¸½µ»½Ñ
abstract ºÇŬ²½¥³¥ó¥Ñ¥¤¥é¤Ï°ìÈ̤ˡ¤ºÇŬ²½½èÍý¤¬³¬ÁØŪ¤Ë¹½À®¤µ¤ì¤ë¡¥¤·¤«¤·¡¤¸åÃʤνèÍý¤Ç¤Ï¥×¥í¥°¥é¥àÁ´ÂΤˤĤ¤¤Æ¤Î¹½À®¤¬¼º¤ï¤ì¡¤¤Þ¤¿Á°ÃʤǤ⥢¡¼¥­¥Æ¥¯¥Á¥ã¤ÎÆÃÀ­¤ò³èÍѤ¹¤ë¤³¤È¤¬Æñ¤·¤¤¡¥¤·¤«¤·¡¤³¬Áش֤ηë¹ç¤òÌ©¤Ë¤¹¤ë¤³¤È¤Ç¤è¤ê¤è¤¤ºÇŬ²½¤Î²ÄǽÀ­¤¬¤¢¤ë¡¥ Ëܸ¦µæ¤Ç¤Ï¡¤¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤ò³è¤«¤¹ºÇŬ¤Ê¥³¥ó¥Ñ¥¤¥ë¤Î¤¿¤á¤Ë¡¤ºÇŬ²½½èÍý¤ª¤è¤Ó¥³¡¼¥ÉÀ¸À®¤òÅý°ìŪ¤Ë¹Ô¤¦Èó³¬Áز½¥³¥ó¥Ñ¥¤¥é¤òÄó°Æ¤¹¤ë¡¥¤³¤Î¤è¤¦¤Ê¥³¥ó¥Ñ¥¤¥é¤Î¹½À®¤Ç¤Ï¡¤¥×¥í¥°¥é¥àÁ´ÂΤòÅý°ìŪ¤Ëɽ¸½¤·¡¤É¾²Á¤¹¤ë¤³¤È¤¬É¬ÍפǤ¢¤ë¡¥¤³¤³¤Ç¤Ï¡¤»°¼¡¸µÉ½¸½¶õ´Ö¤òÍѤ¤¤ëÈó³¬Áز½¥³¥ó¥Ñ¥¤¥é¤Î¹½À®¤ò¼¨¤·¡¤½¾Íè¤Î¥³¥ó¥Ñ¥¤¥é¤È¤ÎÈæ³Ó¤Ë¤è¤Ã¤Æ¤½¤Î¸ú²Ì¤ò¼¨¤¹¡¥

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pagespp. 129 - 134
keywords ´ÖÀÜ¥¢¥É¥ì¥Ã¥·¥ó¥°·¿£Ä£Ó£Ð, ¥¹¥±¥¸¥å¡¼¥ê¥ó¥°, ¥á¥â¥ê¥¢¥É¥ì¥Ã¥·¥ó¥°¸úΨ²½
abstract ´ÖÀÜ¥¢¥É¥ì¥Ã¥·¥ó¥°·¿£Ä£Ó£Ð¤ËÂФ·¤Æ¡¢¥á¥â¥ê¥¢¥¯¥»¥¹½ç½ø¤òÊѹ¹¤¹¤ë¤³¤È¤Ë¤è¤ê¡¢¥¢¥É¥ì¥Ã¥·¥ó¥°¤Î¸úΨ²½¤ò¹Ô¤¦¼êË¡¤òÄó°Æ¤·¤¿¡£»Ï¤á¤Ë¡¢¤¢¤ë¥¹¥±¥¸¥å¡¼¥ê¥ó¥°¤Ë¤è¤Ã¤ÆȯÀ¸¤¹¤ë¥á¥â¥ê¥¢¥¯¥»¥¹½ç½ø¤Ë¤Ä¤¤¤Æ¡¢ËܹƤÇÄó°Æ¤·¤¿¼êË¡¤òŬÍѤ·¤Æɾ²Á¤ò¹Ô¤¦¡£¼¡¤Ë¤½¤Îɾ²Á¤Ë½¾¤Ã¤Æ¡¢¥á¥â¥ê¥¢¥¯¥»¥¹½ç½ø¤òÊѹ¹¤¹¤ë¤¿¤á¤Ë¥¹¥±¥¸¥å¡¼¥ê¥ó¥°¤òºÆ·èÄꤹ¤ë¡£¥¢¥¯¥»¥¹½ç½ø¤ÎÊѹ¹¤Ï¡¢·×»»ÅÓÃæ¤ÇȯÀ¸¤¹¤ë¥á¥â¥ê¤Ø¤ÎÆɤ߹þ¤ß¡¢½ñ¤­¹þ¤ß¤Î½ç½ø¤òÊѹ¹¤¹¤ë¤³¤È¤Ç¹Ô¤Ã¤¿¡£¤Þ¤¿¡¢´ÖÀÜ¥¢¥É¥ì¥Ã¥·¥ó¥°¤Ë¤Ï¡¢¥¤¥ó¥Ç¥Ã¥¯¥¹½¤¾þÉդΤâ¤Î¤òŬÍѤ·¤¿¡£Äó°Æ¤·¤¿¼êË¡¤ò´û¸¤Î£Ä£Ó£ÐÍÑ¥³¥ó¥Ñ¥¤¥é¤Ë±þÍѤ·¤¿¤È¤³¤í¡¤½¾ÍèË¡¤è¤ê¤â¥ª¡¼¥Ð¡¼¥Ø¥Ã¥É¤òÍÞÀ©¤Ç¤­¡¤ËܼêË¡¤ÎÍ­¸úÀ­¤¬³Îǧ¤Ç¤­¤¿¡£


¥»¥Ã¥·¥ç¥ó Bd1-2 Éä¹æ²½(1) (10:30-12:10)
ºÂĹ: Åĸý μ (É𢹩¶ÈÂç³Ø)

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pagespp. 135 - 139
keywords ²èÁü¿®¹æ½èÍý, ²ÄµÕ°µ½Ì, DPCM
abstract ¥Ç¥¸¥¿¥ë¥«¥á¥éÅù¤Ç»£±Æ¤µ¤ì°µ½Ì¤µ¤ì¤¿²èÁü¤ËÂФ·¤Æ¡¤¥æ¡¼¥¶¡¼¤¬¥Õ¥©¥È¥ì¥¿¥Ã¥Á¥½¥Õ¥ÈÅù¤òÍѤ¤²Ã¹©½èÍý¤ò»Ü¤¹ºÝ¡¤²Ã¹©¤ÈÈó²ÄµÕ°µ½Ì¤ò·«¤êÊÖ¤¹¤³¤È¤Ç²Ã¹©¸å¤Î²èÁü¤Ë°µ½ÌÏĤߤ¬ÎßÀѤ¹¤ë¡¥¤³¤ì¤ËÂФ·¡¤ËÜÊó¹ð¤Ç¤Ï²Ã¹©Á°¸å¤Îº¹Ê¬¿®¹æ¤ò²ÄµÕ°µ½Ì¤¹¤ë¤³¤È¤Ç, °µ½ÌÏĤߤ¬ÎßÀѤ·¤Ê¤¤²èÁü¿®¹æ½èÍý¤Ë¤Ä¤¤¤ÆÄó°Æ¤¹¤ë¡¥

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pagespp. 141 - 146
keywords JPEG2000, ¥Ñ¥±¥Ã¥È, ¥Ø¥Ã¥À²òÀÏ´ï
abstract ËÜÊó¹ð¤Ç¤Ï¡¤JPEG2000¤Îµ¡Ç½¤ò³ÈÄ¥¤¹¤ë¤¿¤á¤ËɬÍפʥѥ±¥Ã¥È¤Ø¥Ã¥À²òÀÏ´ï¤Î¥Ï¡¼¥É¥¦¥§¥¢À߷פò¹Ô¤¦¡¥À߷פµ¤ì¤¿¥Ñ¥±¥Ã¥È¤Ø¥Ã¥À²òÀÏ´ï¤Ï¡¤40[Mbps]¤ÎJPEG2000Éä¹æÎó¤ò¥ê¥¢¥ë¥¿¥¤¥à¤Ë²òÀϤ¹¤ë¤³¤È¤¬²Äǽ¤Ç¤¢¤ë¡¥¤³¤ì¤Ë¤è¤ê¡¤¤³¤Î²òÀÏ´ï¤ÈÁȤ߹ç¤ï¤»¤ë¤³¤È¤Ç¡¤JPEG2000¤¬»ý¤Äɸ½à¤Îµ¡Ç½¤ä¤Û¤«¤ÎJPEG2000¥¢¥×¥ê¥±¡¼¥·¥ç¥ó¤Î»ÈÍѤò˸¤²¤ë¤³¤È¤Ê¤¯¡¤JPEG2000Éä¹æÎó¤Î¸úΨŪ¤Ê°Å¹æ²½¤äȾ³«¼¨¡¤¥Ç¡¼¥¿¤ÎËä¤á¹þ¤ß¡¤¥¨¥é¡¼ÄûÀµÅù¤Îµ¡Ç½¤ò¥ê¥¢¥ë¥¿¥¤¥à¤ËÄ󶡤¹¤ë¤³¤È¤¬²Äǽ¤Ç¤¢¤ë¡¥

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pagespp. 147 - 152
keywords ²èÁüÉä¹æ²½, ²èÁü°µ½Ì, ²òÁüÅÙÊÑ´¹, JPEG, Äã¥Ó¥Ã¥È¥ì¡¼¥È
abstract ËÜÏÀʸ¤Ç¤Ï½¾Íè¤ÎJPEGÉä¹æ²½¤ËÂФ·¤Æ²èÁü¤Î¶É½êŪ¤ÊÀ­¼Á¤«¤éÄã²òÁüÅÙ²½²Äǽ¤ÊÉôʬ¤Ë¤Ï²òÁüÅÙÊÑ´¹¤Ë¤è¤ë¥Ç¡¼¥¿°µ½ÌË¡¤òÊ»ÍѤ¹¤ë¤³¤È¤Ë¤è¤ê¡¤¹â°µ½Ì»þ¤Ç¤â¹â¤¤²è¼Á¤ò¼Â¸½¤¹¤ë¿·¤·¤¤Éä¹æ²½Êý¼°¤òÄó°Æ¤¹¤ë¡¥Ê£¿ô¼ïÎà¤Î²òÁüÅÙÊÑ´¹¤òÊ»ÍѤ¹¤ë¤³¤È¤Ç¡¤¤µ¤é¤Ê¤ëÉä¹æ²½¸úΨ¤Î¸þ¾å¤ò»î¤ß¤ë¡¥¤¹¤Ê¤ï¤Á¡¤Å¬±þŪ¤Ë²òÁüÅÙÊÑ´¹¤Î¿½Å²½¤ò¤ª¤³¤Ê¤¦¡¥¤½¤·¤Æ¡¤Å¬±þŪ¤Ê¿½Å²òÁüÅÙÊÑ´¹¤òJPEGÉä¹æ²½¤ËÉղ乤ë¤À¤±¤Ç¡¤Î̻Ҳ½¤Î¤ß¤Ç¤Î̵Íý¤Ê°µ½Ì¤¬²þÁ±¤µ¤ì¤ë¤³¤È¤ò¼Â¸³¤Ë¤è¤êÌÀ¤é¤«¤Ë¤¹¤ë¡¥

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pagespp. 153 - 158
keywords JPEG2000, ROI, ¥¿¥¤¥ê¥ó¥°
abstract ËܹƤǤϡ¤JPEG2000Éä¹æ²½¤Ë¤ª¤±¤ë¥¿¥¤¥ê¥ó¥°¤òÍѤ¤¤¿¶½Ì£ÎÎ °èÉä¹æ²½ÊýË¡¤òÄó°Æ¤¹¤ë¡¥ ¥¿¥¤¥ê¥ó¥°¤È¤Ï¡¤²èÁü¤ò¤¤¤¯¤Ä¤«¤Î¶ë·ÁÎΰè¡Ê¥¿¥¤¥ë¡Ë¤Ëʬ³ä¤·¡¤³Æ¥¿¥¤¥ë¤òÆÈΩ¤ËÉä¹æ²½¤¹¤ë¤³¤È¤ò°ÕÌ£¤¹¤ë¡¥ Äó°ÆË¡¤Ï¡¤½¾Í西¥¤¥ê¥ó¥°¤Î·çÅÀ¤È¤µ¤ì¤Æ¤¤¤¿¥¿¥¤¥ë´Ö¤Î²è¼Á¤ÎÉÔϢ³À­¤òÀѶËŪ¤ËÍøÍѤ¹¤ë¤³¤È¤Ë¤è¤Ã¤Æ¡¤ROI¤Ë´ð¤Å¤¯ÊýË¡¤ÈÈæ³Ó¤·¤ÆÌÀ³Î¤Ê¶½Ì£Îΰè¤òÀßÄꤹ¤ë¤³¤È¤¬¤Ç¤­¤ë¡¥ ¤Þ¤¿¡¤Äó°ÆË¡¤òÍѤ¤¤ë¤³¤È¤Ë¤è¤ê¡¤³Æ¥¿¥¤¥ë¤Î²è¼Á¤òǤ°Õ¤ËÁªÂò¤Ç¤­¤ë¤À¤±¤Ç¤Ê¤¯¡¤Ç¤°Õ¤Î¥¿¥¤¥ë¤ò¥í¥¹¥ì¥¹Éä¹æ²½¤¹¤ë¤³¤È¤â²Äǽ¤Ç¤¢¤ë¡¥¤Þ¤¿¡¤±þÍѤȤ·¤Æ¸ÇÄꥫ¥á¥é¤òÍѤ¤¤¿²ñÏÃ¥·¥¹¥Æ¥à¤òÁÛÄꤷ¡¤·×»»µ¡¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤Ã¤ÆÄó°ÆË¡¤ÎÍ­¸úÀ­¤ò¼¨¤¹¡¥


¥»¥Ã¥·¥ç¥ó Bd1-3 ²èÁü¿®¹æ½èÍý(1) (13:30-15:10)
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pagespp. 211 - 216
keywords ¼«¸ÊÁÈ¿¥²½¥Þ¥Ã¥×, ¥Ë¥å¡¼¥í¥Ï¡¼¥É¥¦¥§¥¢, ²èÁü³ÈÂç, Êä´Ö, ¥³¡¼¥É¥Ö¥Ã¥¯
abstract Ëܸ¦µæ¤Ç¤Ï¡¤¼«¸ÊÁÈ¿¥²½¥Þ¥Ã¥×¡ÊSelf-Organizing Map:SOM¡Ë¤ò¥Ç¥£¥¸¥¿¥ë¥Ï¡¼¥É¥¦¥§¥¢¤Ç¼Â¸½¤¹¤ë¤¿¤á¤Î¡¤¹â®¥¢¥ë¥´¥ê¥º¥à¤ÈÊÂÎó¥Ï¡¼¥É¥¦¥§¥¢¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤òÄó°Æ¤¹¤ë¡¥Ëܸ¦µæ¤ÇÄó°Æ¤¹¤ëSOM¥Ï¡¼¥É¥¦¥§¥¢¤Ï¡¤¹â®¤ÇÈÆÍÑŪ¤Ê±é»»¤¬²Äǽ¤Ç¡¤²óÏ©¤Î³ÈÄ¥¤¬Íưפʥ¢¡¼¥­¥Æ¥¯¥Á¥ã¤Ç¤¢¤ë¡¥¤Þ¤¿¡¤Äó°ÆSOM¥Ï¡¼¥É¥¦¥§¥¢¤ò±þÍѤ·¡¤¹âÀºÅ٤ʥꥢ¥ë¥¿¥¤¥à²èÁü³ÈÂ祷¥¹¥Æ¥à¤òÄó°Æ¤¹¤ë¡¥Äó°Æ¼êË¡¤Ï¡¤SOM¤ÎÆÃħÃê½ÐǽÎϤˤè¤ëÆÃÄê²èÁü¤ØÆò½¤·¤¿¹âÀºÅ٤ʲèÁü³ÈÂç¤È¡¤¥Ï¡¼¥É¥¦¥§¥¢²½¤Ë¤è¤ë¥ê¥¢¥ë¥¿¥¤¥à½èÍý¤¬²Äǽ¤Ç¤¢¤ë¡¥°Ê¾å¤ÎÄó°Æ¼êË¡¤ò¥«¥é¡¼Æ°²èÁü³ÈÂç½èÍý¤ØŬÍѤ·¤¿Îã¤ò¼¨¤·¡¤Ëܸ¦µæ¤ÎÍ­¸úÀ­¤ò¸¡Æ¤¤¹¤ë¡¥

Âê̾Áȹþ¤ß¥·¥¹¥Æ¥à¸þ¤± IEEE 802.11i °Å¹æ½èÍý´ï¤Î¥¢¡¼¥­¥Æ¥¯¥Á¥ã
Ãø¼Ô ¡ûÌÚ¼ ´ð, Ì©»³ ¹¬ÃË, Èø¾å ¹§Íº, ÇòÀî ¸ù(ÂçºåÂç³ØÂç³Ø±¡¾ðÊó²Ê³Ø¸¦µæ²Ê¾ðÊó¥·¥¹¥Æ¥à¹©³ØÀ칶)
pagespp. 217 - 222
keywords IEEE802.11i, °Å¹æ½èÍý, VLSI
abstract ̵Àþ LAN ¥»¥­¥å¥ê¥Æ¥£³ÈÄ¥µ¬³Ê IEEE 802.11i °Å¹æÊý¼°¤Î¡¤Áȹþ¤ß¥·¥¹¥Æ¥à¤Ø¤Î¼ÂÁõ¤Ë¤ª¤¤¤Æ¡¤½èÍý®ÅÙ¡¤²óÏ©µ¬ÌϤÎÅÀ¤Ç²ÝÂ꤬»Ä¤Ã¤Æ¤¤¤ë¡¥ËÜʸ¤Ç¤Ï¡¤IEEE 802.11a/11g µ¬³Ê¤ÎÍ×µáÀ­Ç½¤òËþ¤¿¤·¡¤¤«¤Ä¾®ÌÌÀѤʰŹæ½èÍý²óÏ©¤Î¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤ÎÄó°Æ¤ª¤è¤Ó¼ÂÁõ¤ò¹Ô¤¦¡¥Äó°Æ¤¹¤ë¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤Ç¤Ï¡¤²óÏ©µ¬ÌϤκ︺¤ò¿Þ¤ê¤Ä¤Ä¡¤Í×µáÀ­Ç½¤òËþ¤¿¤¹¤¿¤á RC4,AES-CCM ¸úΨ²½¼êË¡¤ò¼ÂÁõ¤·¤Æ¤¤¤ë¡¥ËܽèÍý²óÏ©¤ò VLSI ²½¤·¤¿·ë²Ì¡¤¥²¡¼¥È¿ô¤¬Ìó 17,000¡¤ºÇÂçÆ°ºî¼þÇÈ¿ô¤¬ 90MHz ¤È¤Ê¤Ã¤¿¡¥ËܽèÍý²óÏ©¤Ï¡¤IEEE 802.11a/11g µ¬³Ê¤ÎºÇÂçžÁ÷®Å٤ǤΰŹ桦Éü¹æ½èÍý¤¬²Äǽ¤Ç¤¢¤ë¡¥


¥»¥Ã¥·¥ç¥ó C1-2 Äã¾ÃÈñÅÅÎÏÀß·× (10:45-12:00)
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Âê̾A Design Method for a Low Power Digital FIR Filter in Digital Wireless Communication Systems
Ãø¼Ô ¡ûKousuke Tarumi, Akihiko Hyodo, Masanori Muroyama, Hiroto Yasuura(Kyushu University)
pagespp. 223 - 228
keywords low power design, FIR, bitwidth optimization
abstract We propose a novel approach for designing a low power digital FIR filter in wireless communication systems. This is a method to recuce unused bits in the datapath with keeping the filter calculation accuracy. At first, we formulate the constraints about keeping accuracy of the filter calculations. We define the problem to find the optimized bitwidth of each filter coefficient. We evaluate the effects of consuming power reduction by comparing the two digital FIR filters, one of which has the same datapath and the other has the optimized bitwidth of each filter coefficient. We confirm that our approach is effective for a low power digital FIR filter.

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pagespp. 229 - 234
keywords ¥­¥ã¥Ã¥·¥å, Äã¾ÃÈñÅÅÎÏ, ºÆÍøÍÑ, ¥¿¥°Èæ³Ó
abstract ¸½ºß²æ¡¹¤Ï¡¤Ì¿Îᥭ¥ã¥Ã¥·¥å¤ÎÄã¾ÃÈñ¥¨¥Í¥ë¥®¡¼²½¤òÌÜŪ¤È¤·¤Æ¡¤¥Ò¥¹¥È¥ê¡¦¥Ù¡¼¥¹¡¦¥¿¥°Èæ³Ó(HBTC)¥­¥ã¥Ã¥·¥å¤òÄó°Æ¤·¤Æ¤¤¤ë¡¥HBTC¥­¥ã¥Ã¥·¥å¤Ç¤Ï¡¤²áµî¤Î¥¿¥°Èæ³Ó·ë²Ì¤òºÆÍøÍѤ·¡¤»²¾È¥Ç¡¼¥¿¤¬Â¸ºß¤¹¤ë¥¦¥§¥¤¤Î¤ß¤òÁªÂòŪ¤Ë³èÀ­²½¤¹¤ë¤³¤È¤ÇÄã¾ÃÈñÅÅÎϲ½¤ò¼Â¸½¤¹¤ë¡¥¤·¤«¤·¤Ê¤¬¤é¡¤¤³¤ì¤Þ¤Ç¤Î¸¦µæ¤Ç¤Ï¡¤0.8¦Ìm CMOS¥Æ¥¯¥Î¥í¥¸¤òÁ°Äó¤È¤·¤¿¾ÃÈñ¥¨¥Í¥ë¥®¡¼¡¦¥â¥Ç¥ë¤òÍѤ¤¤¿É¾²Á¤·¤«¹Ô¤Ã¤Æ¤ª¤é¤º¡¤Èæ³ÓÂоݤ⽾Íè·¿¥­¥ã¥Ã¥·¥å¤Î¤ß¤Ç¤¢¤Ã¤¿¡¥¤½¤³¤ÇËܹƤǤϡ¤HBTC¥­¥ã¥Ã¥·¥å¤ÎÍ­¸úÀ­¤ò¤è¤ê¾ÜºÙ¤Ëɾ²Á¤¹¤ë¤¿¤á¡¤1) 0.18¦Ìm CMOS¥×¥í¥»¥¹¤Ë¤è¤ëSRAM¥¢¥ì¥¤¼ÂÀ߷פ˴ð¤Å¤¯¾ÃÈñ¥¨¥Í¥ë¥®¡¼É¾²Á¡¤2)²áµî¤ËÄó°Æ¤µ¤ì¤¿Äã¾ÃÈñ¥¨¥Í¥ë¥®¡¼²½¼êË¡¤È¤ÎÈæ³Ó¤ÈÁȹç¤ï¤»¤Ë´Ø¤¹¤ëɾ²Á¡¤3)HBTCÊý¼°¤ÎºÎÍѤËȼ¤¤È¯À¸¤¹¤ë¾ÃÈñ¥¨¥Í¥ë¥®¡¼¡¦¥ª¡¼¥Ð¥Ø¥Ã¥Éºï¸º¼êË¡¤È¤½¤Îɾ²Á¤ò¹Ô¤¦¡¥

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Ãø¼Ô ¡û¾®µÜ Îé»Ò(Ê¡²¬Âç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê(¥â¥·¥Ë¥ã¥¬¸¦µæ¼¼)), °æ¾å ¹°»Î, ¥â¥·¥Ë¥ã¥¬ ¥ï¥·¥ê¡¼(Ê¡²¬Âç³Ø¹©³ØÉôÅŻҾðÊ󹩳زÊ), ¼¾å Ͼ´(¶å½£Âç³ØÂç³Ø±¡¥·¥¹¥Æ¥à¾ðÊó²Ê³Ø¸¦µæ±¡)
pagespp. 235 - 240
keywords ¥­¥ã¥Ã¥·¥å, ¥ê¡¼¥¯, Äã¾ÃÈñÅÅÎÏ
abstract ¤³¤ì¤Þ¤Ç¤Ë¡¢¥­¥ã¥Ã¥·¥å¡¦¥á¥â¥ê¤Î¥ê¡¼¥¯¾ÃÈñ¥¨¥Í¥ë¥®¡¼¤Îºï¸º¤òÌÜŪ¤È¤·¤ÆÍÍ¡¹¤Ê¼êË¡¤¬Äó°Æ¤µ¤ì¤Æ¤­¤¿¡£¤³¤ì¤é¤Ï¡¢¡Ö¤¢¤ë¥Ç¡¼¥¿Ã±°ÌËè¤Ësleep¥â¡¼¥É(Äã¥ê¡¼¥¯¤«¤ÄÄã®)¤Èawake¥â¡¼¥É(¹â¥ê¡¼¥¯¤«¤Ä¹â®)¤òÁªÂò²Äǽ¤È¤·¡¤Å¬Àڤʥ¿¥¤¥ß¥ó¥°¤ÇÆ°ºî¥â¡¼¥É¤òÀÚÂؤ¨¤ë¡×ÅÀ¤Ï¶¦Ä̤·¤Æ¤ª¤ê¡¤¥â¡¼¥ÉÀÚÂؤ¨¥¢¥ë¥´¥ê¥º¥à¤¬³Æ¼êË¡¤Ç°Û¤Ê¤ë¡¥¤½¤³¤ÇËܹƤǤϡ¤¤³¤ì¤é¤Î¥ê¡¼¥¯ºï¸º¼êË¡¤ËÃåÌܤ·¡¤Æ±°ì´Ä¶­²¼¤Ç¤ÎÄêÎÌŪɾ²Á¤ò¹Ô¤¦¤³¤È¤Ç¡¤¥â¡¼¥ÉÀÚÂؤ¨¥¢¥ë¥´¥ê¥º¥à¤Î°ã¤¤¤¬¥ê¡¼¥¯ºï¸º¸ú²Ì¤ËÍ¿¤¨¤ë±Æ¶Á¤òÌÀ¤é¤«¤Ë¤¹¤ë¡¥¤Þ¤¿¡¤¤³¤ì¤é¤Îʸ¸¥¤Ç¤Ïɾ²Á¤µ¤ì¤Æ¤¤¤Ê¤¤awake¡Ýsleep¥â¡¼¥ÉÀÚÂؤ¨¥¢¥ë¥´¥ê¥º¥à¤ÎÁȹ礻¤Ë´Ø¤·¤Æ¤âɾ²Á¤¹¤ë¡¥


¥»¥Ã¥·¥ç¥ó C1-3 [ÆÃÊÌ¥»¥Ã¥·¥ç¥ó]¥ê¥³¥ó¥Õ¥£¥®¥ã¥é¥Ö¥ëµ¡Ç½LSI¤È¤½¤Î±þÍÑ(1) (13:30-14:20)
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Âê̾LUT¥¢¥ì¥¤·¿ÏÀÍý¥Ç¥Ð¥¤¥¹¤Ë¤ª¤±¤ë²óÏ©µ¬ÌϺ︺¤Î¤¿¤á¤ÎÊÑ¿ô½ç½ø¤Ê¤é¤Ó¤Ë¹àɽ¸½¤ÎƱ»þ·èÄê¼êË¡
Ãø¼Ô ÅòÀõ δ»Ë, ¡û¿À»³ ¿¿°ì, Àô ÃÎÏÀ(µþÅÔÂç³Ø), Èø¾å ¹§Íº(ÂçºåÂç³Ø), Ãæ¼ ¹Ô¹¨(µþÅÔÂç³Ø)
pagespp. 241 - 246
keywords LUT¥¢¥ì¥¤·¿PLD, ÏÀÍýËä¤á¹þ¤ß, ÊÑ¿ô½ç½øÃÖ´¹, Sum of Generalized Complex Terms
abstract LUT¥¢¥ì¥¤·¿ÏÀÍý¥Ç¥Ð¥¤¥¹¤Ç¤Ï¡¢LUT¤ÎľÎó¿ÃÊÀܳ¤òÍѤ¤¤ÆÀ¸À®¤µ ¤ì¤¿¹à¤ÎÏÂ(SGCT: Sum of Generalized Complex Terms)¤Ë¤è¤ê½ê˾ ¤ÎÏÀÍý¤ò¼Â¸½¤¹¤ë¡£SGCT¤Ç¤Ï¡¢¹à¿ô¤¬ÆþÎÏÊÑ¿ô½ç½ø¤ËÂ礭¤¯°Í¸¤¹ ¤ë¡£¤½¤³¤ÇËܹƤǤϡ¢SGCTɽ¸½¤ÎÀ¸À®¤ÈÆþÎÏÊÑ¿ô½ç½ø¤Î·èÄê¤òƱ»þ ¤Ë¹Ô¤¦¼êË¡¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë¡£

Âê̾¼¡À¤Âå¥ê¥³¥ó¥Õ¥£¥®¥ã¥é¥Ö¥ë¡¦¥í¥¸¥Ã¥¯¸þ¤±¥¯¥é¥¹¥¿¥ê¥ó¥°¥Ä¡¼¥ë¤Î³«È¯
Ãø¼Ô ÃÓÅÄ Í´²ð(·§ËÜÂç³ØÂç³Ø±¡¼«Á³²Ê³Ø¸¦µæ²Ê¿ôÍý²Ê³Ø¡¦¾ðÊó¥·¥¹¥Æ¥àÀ칶), ¡ûÌÚȨ ²íµ®, ÈÓÅÄ Á´¹­, ËöµÈ ÉÒ§(·§ËÜÂç³Ø¹©³ØÉô¿ôÍý¾ðÊó¥·¥¹¥Æ¥à¹©³Ø²Ê)
pagespp. 247 - 252
keywords RC¥·¥¹¥Æ¥à, RLD, ¥¯¥é¥¹¥¿¥ê¥ó¥°¥Ä¡¼¥ë, ÇÛÀþ¥ê¥½¡¼¥¹
abstract ¸½ºß¡¤·×»»µ¡¤ËŬ±þÀ­¤ò»ý¤¿¤»¤ë»î¤ß¤È¤·¤ÆRC(Reconfigurable Computing)¥·¥¹¥Æ¥à¤¬ÃíÌܤµ¤ì¤Æ¤¤¤ë¡¥Ãø¼Ô¤é¤Ï¡¤RC¥·¥¹¥Æ¥à¤ÎÀ­Ç½¤ò½½Ê¬¤Ë°ú¤­½Ð¤¹¤¿¤á¤ÎRLD(Reconfigurable Logic Device)¤òÄó°Æ¤¹¤ë¤È¤È¤â¤Ë¡¢ÀìÍÑEDA¥Ä¡¼¥ë¤Î³«È¯¤ò¹Ô¤Ã¤Æ¤¤¤ë¡¥ËܹƤǤϡ¤EDA¥Ä¡¼¥ë¤Î°ìÉôʬ¤Ç¤¢¤ë¥¯¥é¥¹¥¿¥ê¥ó¥°¥Ä¡¼¥ë¤Î³«È¯¤Ë¤Ä¤¤¤Æ½Ò¤Ù¡¢¤½¤ÎÃæ¤Ç¡¢»ÈÍѥȥé¥Ã¥¯¿ô¤Ê¤É¤ÎÇÛÀþ¥ê¥½¡¼¥¹¤Î¸º¾¯¤Ë¤Ä¤Ê¤¬¤ë»Øɸ¤òÄó°Æ¤¹¤ë¡¥½é´ü¾õÂÖ¤«¤é»Øɸ¤¬¾®¤µ¤¯¤Ê¤ë¤è¤¦¤ËÍÍ¡¹¤Ê¼êË¡¤ÇLUT¤òÆþ¤ìÂؤ¨¤¿·ë²Ì¡¢»ÈÍѥȥé¥Ã¥¯¿ô¤òºÇÂç26.7%¡¢Ê¿¶Ñ18.7%¸º¾¯¤µ¤»¤ë¤³¤È¤¬¤Ç¤­¤¿¡¥


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Ãø¼Ô ¡ûÅ·Ìî ±ÑÀ²(·Ä±þÂç³Ø Íý¹©³ØÉô ¾ðÊ󹩳زÊ)
pagespp. 253 - 258
keywords ¥ê¥³¥ó¥Õ¥£¥®¥ã¥é¥Ö¥ë¥·¥¹¥Æ¥à, ¥À¥¤¥Ê¥ß¥Ã¥¯¥ê¥³¥ó¥Õ¥£¥®¥ã¥é¥Ö¥ë¥×¥í¥»¥Ã¥µ
abstract ¥ê¥³¥ó¥Õ¥£¥®¥ã¥é¥Ö¥ë¥·¥¹¥Æ¥à¤ÎºÇ¶á¤ÎÆ°¸þ¤ò³µ´Ñ¤·¡¢ Æä˥À¥¤¥Ê¥ß¥Ã¥¯¥ê¥³¥ó¥Õ¥£¥®¥ã¥é¥Ö¥ë¥×¥í¥»¥Ã¥µ¤Ë¤Ä¤¤¤Æ ¤½¤ÎÀ­¼Á¡¢°ÌÃ֤Ť±¤ò½Ò¤Ù¡¢ÂåɽŪ¤Ê¥·¥¹¥Æ¥à¤ò¾Ò²ð¤¹¤ë¡£

Âê̾(¾·ÂÔ)¥½¥Õ¥È¥¦¥§¥¢ÌµÀþ ¡Á¥ê¥³¥ó¥Õ¥£¥®¥ã¥é¥Ö¥ëµ¡Ç½LSI¤Î̵ÀþÄÌ¿®¤Ø¤Î±þÍÑ¡Á
Ãø¼Ô ¡û½Õ»³ ¿¿°ìϺ(·ÄØæµÁ½ÎÂç³Ø Íý¹©³ØÉô ¾ðÊ󹩳زÊ)
pagespp. 259 - 264
keywords ¥½¥Õ¥È¥¦¥§¥¢ÌµÀþ, ¥ê¥³¥ó¥Õ¥£¥®¥ã¥é¥Ö¥ë, RF, MEMS, ¥â¥Ç¥à
abstract °Û¤Ê¤ëµ»½Ñɸ½à¤ä¿ÍͤʱþÍѤÎ̵Àþ¥·¥¹¥Æ¥à¤¬º®ºß¤¹¤ë¾õ¶·¤Ë Âбþ½ÐÍè¤ëµ»½Ñ¤È¤·¤Æ¡¢¥½¥Õ¥È¥¦¥§¥¢ÌµÀþ(Software Radio, Software Defined Radio)¤¬´üÂÔ¤µ¤ì¤Æ¤¤¤ë¡£¥½¥Õ¥È¥¦¥§¥¢ÌµÀþ ¤È¤Ï¡¢°Û¤Ê¤ë¥·¥¹¥Æ¥àµ¡Ç½¤Ç¤â¥·¥¹¥Æ¥à¤ò¥Õ¥ì¥­¥·¥Ö¥ë¤Ë Êѹ¹¤¹¤ë¤³¤È(Reconfigure)¤Ë¤è¤êñ°ì¤Î¥Ï¡¼¥É¥¦¥§¥¢¤Ç¤â Ê£¿ô¤Îµ¡Ç½¤ËÂбþ¤Ç¤­¤ë¥·¥¹¥Æ¥à¤Î¤³¤È¤ò¤¤¤¦¡£ ¥ê¥³¥ó¥Õ¥£¥®¥ã¥é¥Ö¥ëµ¡Ç½¤ò¤â¤ÄLSI¤¬¡¢¤½¤Î¤è¤¦¤Ê ¥½¥Õ¥È¥¦¥§¥¢ÌµÀþ¤Ëº£¸å»È¤ï¤ì¤Æ¤¤¤¯¤ÈͽÁÛ¤µ¤ì¤ë¤¬¡¢ ËÜÏÀʸ¤Ç¤Ï̵ÀþÁ÷¼õ¿®¤Î¤½¤ì¤¾¤ì¤Î½èÍý¥¹¥Æ¡¼¥¸¤Ç¤É¤Î¤è¤¦¤Ê ÅÀ¤¬¥ê¥³¥ó¥Õ¥£¥®¥å¥¢¤Ç¤­¤ë¤Î¤«¤Ë¤Ä¤¤¤ÆÏÀ¤¸¤Æ¤¤¤¯¡£

Âê̾¥Ñ¥Í¥ëƤÏÀ¡Ö¥ê¥³¥ó¥Õ¥£¥®¥ã¥é¥Ö¥ëµ»½Ñ¤Î¼ÂÍѲ½¤Î¤¿¤á¤Î²ÝÂê¡×
Ãø¼Ô [¥â¥Ç¥ì¡¼¥¿] Ô¢»Þ Çî¾¼(Åìµþ¹©¶ÈÂç³Ø), [¥Ñ¥Í¥ê¥¹¥È] Å·Ìî ±ÑÀ², ½Õ»³ ¿¿°ìϺ(·Ä±þÂç³Ø), ¸Í°æ ¿òͺ(ÆüËÜÅŵ¤³ô¼°²ñ¼Ò), º´Æ£ ͧÈþ(¥¢¥¤¥Ô¡¼¥Õ¥ì¥Ã¥¯¥¹³ô¼°²ñ¼Ò), ÃæÌî ·Ã°ì(AOI¥Æ¥¯¥Î¥í¥¸¡¼³ô¼°²ñ¼Ò)
pagespp. 265 - 265



¥»¥Ã¥·¥ç¥ó D1-1 ¥Í¥Ã¥È¥ï¡¼¥¯ (9:00-9:50)
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Ãø¼Ô ÃÝÆâ Í´²ð(´ôÉìÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê), ¡û¶â»Ò ÈþÇî(´ôÉìÂç³Ø¹©³ØÉô±þÍѾðÊó³Ø²Ê), ¼ÄÅÄ ¾±»Ê(Ãæ±ûÂç³ØÍý¹©³ØÉôÅŵ¤ÅŻҾðÊóÄÌ¿®¹©³Ø²Ê)
pagespp. 267 - 272
keywords ¥Í¥Ã¥È¥ï¡¼¥¯¥â¥Ç¥ë, Ê£À½¥³¥¹¥ÈÊÑÆ°, ¥Õ¥¡¥¤¥ëžÁ÷, ºÇ¾®¥³¥¹¥È, ¥í¥±¡¼¥·¥ç¥óÌäÂê
abstract ¥Õ¥¡¥¤¥ëÊ£À½¥Í¥Ã¥È¥ï¡¼¥¯¤Ï¡¤´ö¤Ä¤«¤ÎÅÀ¤«¤é¾¤ÎÅÀ¤Ø¤½¤ì¤¾¤ìɬÍ×Éô¿ô¤Î¥Õ¥¡¥¤¥ë¤Î¥³¥Ô¡¼¤òžÁ÷¤¹¤ë¤è¤¦¤Ê¾ðÊóÅÁã¤Î¥â¥Ç¥ë¤Ç¤¢¤ê¡¤¥Õ¥¡¥¤¥ë¤ÎÊ£À½¥³¥¹¥È¤ÈžÁ÷¥³¥¹¥È¤¬ÀßÄꤵ¤ì¤Æ¤¤¤ë¡¥ËÜÊó¹ð¤Ç¤ÎºÇŬ¤Êfile transfer¤È¤Ï¡¤³ÆÅÀ¤Çºî¤ë¥Õ¥¡¥¤¥ë¤Î¥³¥Ô¡¼¤ÎÉô¿ô¤È³Æ»Þ¤òžÁ÷¤µ¤»¤ë¥Õ¥¡¥¤¥ë¤Î¥³¥Ô¡¼¤ÎÉô¿ô¤ò·èÄꤷ¤Æ¡¤¥³¥¹¥ÈºÇ¾®¤Î¥Õ¥¡¥¤¥ëžÁ÷¤ò¼Â¸½¤µ¤»¤ë¤â¤Î¤Ç¤¢¤ë¡¥ËÜÊó¹ð¤Ç¤Ï¡¤Ê£À½¥³¥¹¥È¤¬ÊÑÆ°¤¹¤ë¥Í¥Ã¥È¥ï¡¼¥¯¤ËÂФ·¤Æ¡¤ºÇŬ¤Êfile transfer¤òµá¤á¤ëÌäÂê¤ò¹Í»¡¤¹¤ë¡¥¥Ç¡¼¥¿¹½Â¤¤ò¹©Éפ¹¤ì¤Ð¡¤Ê£À½¥³¥¹¥È¤¬ÊѲ½¤·¤Ê¤¤ÀÅŪ¤Ê¥Í¥Ã¥È¥ï¡¼¥¯¤Î¾ì¹ç¤ò·«¤êÊÖ¤¹¤è¤ê¤â¸úΨŪ¤ËÂнè¤Ç¤­¤ë¤³¤È¤¬¤ï¤«¤Ã¤¿¤¿¤á¡¤¤³¤ì¤òÊó¹ð¤¹¤ë¡¥

Âê̾IP Paging Schemes Adaptive to Mobile User Parameters
Ãø¼Ô ¡ûHung Tuan Do, Yoshikuni Onozato(Department of Computer Science, Gunma University)
pagespp. 273 - 278
keywords Mobile IP, IP paging, Individual paging, Adaptive paging
abstract One of the main drawbacks of Mobile IP is a Mobile Host (MH) needs to update its location each time it moves from one subnet to another, even when it is in dormant mode while roaming. This practice is apparently not efficient in terms of location update cost and power consumption. Recent research works have attempted to address that problem by extending Mobile IP with a layer 3 paging mechanism so-called IP paging. Particularly, IP Individual Paging schemes, which are customized to each mobile user, have attracted considerable interest of researchers. In this paper, we present an analysis on the effect of both user-adaptability and time-adaptability in Individual Paging schemes by comparing the signaling cost of an adaptive Individual Paging scheme to that of a non-adaptive counterpart. The optimal paging area (PA) size is determined by using an iterative algorithm. Our results also show that specifying the optimal PA size is critical in saving signaling cost of IP paging.


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Ãø¼Ô ¡û³ÑÅÄ ÎÉÌÀ, ÂçÅÄ ÃιÔ(¹­Åç»ÔΩÂç³Ø)
pagespp. 279 - 284
keywords ¥¢¥É¥Û¥Ã¥¯¥Í¥Ã¥È¥ï¡¼¥¯, ³¬Áإ롼¥Æ¥£¥ó¥°, ¥¯¥é¥¹¥¿¥ê¥ó¥°, ¥×¥í¥È¥³¥ë
abstract ËܹƤǤϡ¤¼«Î§Ê¬»¶¥¯¥é¥¹¥¿¥ê¥ó¥°¤ò´ð¤Ë¤·¤¿³¬Áإ롼¥Æ¥£¥ó¥°Hi-TORA¡¤Hi-DSR¡¤Hi-AODV¤òÄó°Æ¤¹¤ë¡¥¤³¤ì¤é¤Î¥×¥í¥È¥³¥ë¤Ï¡¤¥¯¥é¥¹¥¿Æâ¥ë¡¼¥Æ¥£¥ó¥°¤Ë¤Ï¼«Î§Ê¬»¶¥¯¥é¥¹¥¿¥ê¥ó¥°¤¬¹½À®¤¹¤ë¥¯¥é¥¹¥¿¥Ø¥Ã¥É¥Ù¡¼¥¹¥Ä¥ê¡¼¤òŬÍѤ¹¤ë¡¥¤Þ¤¿¥¯¥é¥¹¥¿´Ö¥ë¡¼¥Æ¥£¥ó¥°¤Ï¡¤¥Õ¥é¥Ã¥È¥ë¡¼¥Æ¥£¥ó¥°¥×¥í¥È¥³¥ë¤ÎTORA¡¤DSR¡¤AODV¤ò¤½¤ì¤¾¤ìÍøÍѤ¹¤ë¡¥ËܹƤǤϡ¤¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¼Â¸³¤Ë¤è¤ê¡¤Hi-TORA¡¤Hi-DSR¡¤Hi-AODV¤ò¤½¤ì¤¾¤ìTORA¡¤DSR¡¤AODV¤ÈÈæ³Ó¤·¡¤¼«Î§Ê¬»¶¥¯¥é¥¹¥¿¥ê¥ó¥°¤Ë´ð¤Å¤¤¤¿³¬Áإ롼¥Æ¥£¥ó¥°¤ÎÍ­¸úÀ­¤ò¼¨¤¹¡¥


¥»¥Ã¥·¥ç¥ó D1-3 Î¥»¶»ö¾Ý¥·¥¹¥Æ¥à (13:00-13:50)
ºÂĹ: µÜËÜ ½Ó¹¬ (ÂçºåÂç³Ø Âç³Ø±¡¹©³Ø¸¦µæ²Ê Åŵ¤¹©³ØÀ칶)

Âê̾Making Reactive Systems Highly Reliable by Hypersequential Programming and Petri Nets
Ãø¼Ô ¡ûNaoshi Uchihira(Toshiba Corporation)
pagespp. 285 - 290
keywords Concurrent Program, Petri Nets, Reliability, Hypersequential Programming, Scenario
abstract Hypersequential programming is a new way of concurrent-program development, in which the original concurrent program is first serialized, then tested and debugged as a set of sequential programs, and finally restored into the target concurrent program by parallelization. Both high productivity and reliability are achieved by hypersequential programming because testing and debugging are done for the serialized versions and correctness of the serialized programs is preserved during subsequent parallelization. This paper proposes scenario-based hypersequential programming for reactive multi-tasking systems which have not only concurrency and nondeterminacy, but interruption and priority. Petri nets with priority are used to model reactive systems featuring interruption and priority-based scheduling. We explain how to make reactive programs highly reliable in this approach, and show its effectiveness by an example of a telephone terminal control program.

Âê̾ÁÐÌÏÊïÀ­¤òÍѤ¤¤¿¥ª¡¼¥È¥á¡¼¥·¥ç¥ó¥µ¥×¥é¥¤¥º¤Î¤Ê¤¤¥Þ¥ó¡¦¥Þ¥·¥ó¥¤¥ó¥¿¥Õ¥§¡¼¥¹¤ÎÀß·×
Ãø¼Ô ¡û­Ω ÀµÏÂ, Ĭ ½Ó¸÷, ±§Àî ²Â¹§(ÂçºåÂç³ØÂç³Ø±¡´ðÁù©³Ø¸¦µæ²Ê)
pagespp. 291 - 296
keywords ¿Í´Ö-µ¡³£·Ï, Î¥»¶»ö¾Ý¥·¥¹¥Æ¥à, ÁÐÌÏÊïÀ­, ¥ª¡¼¥È¥á¡¼¥·¥ç¥ó¥µ¥×¥é¥¤¥º
abstract Ê£»¨²½¡¦¹âµ¡Ç½²½¤µ¤ì¤¿¥ª¡¼¥È¥á¡¼¥·¥ç¥ó¥·¥¹¥Æ¥à¤ò¿Í´Ö¤¬Áàºî¤¹ºÝ¡¤¿Í´Ö¤¬¥·¥¹¥Æ¥à¤ÎÁ´¤Æ¤Î¾ðÊó¤òÇÄ°®¤¹¤ë¤Î¤Ïº¤Æñ¤Ç¤¢¤ê¡¤¥¤¥ó¥¿¥Õ¥§¡¼¥¹¤òÄ̤·¤ÆÃê¾Ý²½¤µ¤ì¤¿¾ðÊó¤ò¤â¤È¤ËÁàºî¤ò¹Ô¤¦¡¥¤³¤ì¤Þ¤Ç¤Ë¡¤¥·¥¹¥Æ¥à¤Î¼ÂºÝ¤Î¿¶¤ëÉñ¤¤¤È¿Í´Ö¤ÎÁàºî¤È¤Î´Ö¤Ë¸ß´¹¤¬¤È¤ì¤Æ¤¤¤ë¤È¤¤¤¦°ÕÌ£¤Ç¤Î¥¤¥ó¥¿¥Õ¥§¡¼¥¹¤ÎÀµ¤·¤µ¤ò·Á¼°Åª¤Ë¸¡¾Ú¤¹¤ëÊýË¡¤¬¤¤¤¯¤Ä¤«Äó°Æ¤µ¤ì¤Æ¤¤¤ë¤¬¡¤¤½¤ÎÀß·×Ë¡¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤é¤ì¤Æ¤¤¤ë¤â¤Î¤Ï¾¯¤Ê¤¤¡¥¤½¤³¤Ç¡¤ËÜÏÀʸ¤Ç¤Ï¡¤¿Í´Ö-µ¡³£·Ï¤Ë¤ª¤¤¤ÆÀ®¤êΩ¤ÄÄêÀ­Åª¤ÊÀ­¼Á¤òÌÀ¤é¤«¤Ë¤·¡¤ÁÐÌÏÊïÀ­¤Ë¤â¤È¤Å¤¯¥¤¥ó¥¿¥Õ¥§¡¼¥¹¤ÎÀß·×Ë¡¤òÄó°Æ¤¹¤ë¡¥


¥»¥Ã¥·¥ç¥ó D1-4 [ÆÃÊÌ¥»¥Ã¥·¥ç¥ó]·Á¼°Åª¸¡¾Ú(1) (13:50-14:40)
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pagespp. 297 - 302
keywords ÄêÍý¾ÚÌÀ´ï, ¥×¥í¥»¥¹Âå¿ô, ʹԥ·¥¹¥Æ¥à
abstract ÄêÍý¾ÚÌÀ´ï¤òʹԥ·¥¹¥Æ¥à¤Î¸¡¾Ú¤ËÍøÍѤ¹¤ë¤¿¤á¤Ë¡¢I/O¥ª¡¼¥È¥Þ¥È¥ó¤ä¥×¥í¥» ¥¹Âå¿ô¤ÎÍýÏÀ¤òÄêÍý¾ÚÌÀ´ï¤Ë¼ÂÁõ¤¹¤ëÊýË¡¤¬¸¦µæ¤µ¤ì¤Æ¤ª¤ê¡¢¼ÂºÝµ¬ÌϤÎʹԥ· ¥¹¥Æ¥à¤òÄêÍý¾ÚÌÀ´ï¤Ë¤è¤Ã¤Æ¸¡¾Ú¤·¤¿Îã¤âÊó¹ð¤µ¤ì¤Æ¤¤¤ë¡£ÄêÍý¾ÚÌÀ´ï¤òÍѤ¤¤ë ÍøÅÀ¤Ï¡¢Ìµ¸Â¤Þ¤¿¤ÏÈó¾ï¤Ë¿¤¯¤Î¾õÂÖ¤ò¤â¤Ä¥·¥¹¥Æ¥à¤ò¸¡¾Ú¤Ç¤­¤ë¤³¤È¤Ë¤¢¤ë¡£ ËܹƤǤϡ¢ÄêÍý¾ÚÌÀ´ïIsabelle¤È¥×¥í¥»¥¹Âå¿ôCSP¤òÃæ¿´¤Ë¡¢Ê¹ԥ·¥¹¥Æ¥à¤òÄê Íý¾ÚÌÀ´ï¤Ç¸¡¾Ú¤¹¤ëÊýË¡¤ò¾Ò²ð¤¹¤ë¡£


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pagespp. 303 - 308
keywords ¥â¥Ç¥ë¸¡ºº, µ­¹æɽ¸½, ¼«Æ°¸¡¾Ú, ʹԥ·¥¹¥Æ¥à
abstract µ­¹æ¥â¥Ç¥ë¸¡ºº(symbolic model checking)¤Ï¡¤¾õÂÖ½¸¹ç¤ä¾õÂÖ´Ö¤ÎÁ«°Ü¤ò¿ô¼° ¤Çµ­¹æŪ¤Ëɽ¤·¡¤¤½¤ì¤é¿ô¼°¾å¤Î½èÍý¤Ë¤è¤Ã¤Æ¸¡¾Ú¤ò¹Ô¤¦¥â¥Ç¥ë¸¡ºº¼êË¡¤Ç¤¢¤ë¡¥ °ì¤Ä°ì¤Ä¤Î¾õÂ֤ǤϤʤ¯¡¤¿ô¼°¤¬É½¤¹¾õÂÖ½¸¹ç¤òñ°Ì¤È¤·¤Æõº÷¤ò¹Ô¤¦¤¿¤á¡¤Çü Âç¤Ê¾õÂÖ¤òÂоݤȤ¹¤ë¾ì¹ç¤Ç¤â¡¤¤½¤ì¤òɽ¤¹¿ô¼°¤¬´Ê·é¤Ç¤¢¤ë¤Ê¤é¤Ð¡¤Èó¾ï¤Ë¹â ®¤Êõº÷¤¬²Äǽ¤È¤Ê¤ë¡¥¤³¤ì¤Þ¤Çµ­¹æ¥â¥Ç¥ë¸¡ºº¤Ï¥Ï¡¼¥É¥¦¥§¥¢¤Î¸¡¾Ú¤Ë¤ÏÀ®¸ù ¤ò¼ý¤á¤ÆÍè¤Æ¤¤¤ë¤¬¡¤¥½¥Õ¥È¥¦¥§¥¢¥·¥¹¥Æ¥à¤Ø¤ÎŬÍѤϤޤÀ»î¹Ô¤ÎÃʳ¬¤È¸À¤¨¤ë¡¥ ËܹƤǤϡ¤µ­¹æ¥â¥Ç¥ë¸¡ºº¼êË¡¤Î¥½¥Õ¥È¥¦¥§¥¢¥·¥¹¥Æ¥à¤Ø¤ÎŬÍѤλî¤ß¤Ë¤Ä¤¤¤Æ¡¤ Ãø¼ÔÅù¤Î¼è¤êÁȤߤÈÊ»¤»¤Æ³µÀ⤹¤ë¡¥

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pagespp. 309 - 314
keywords ¥¨¡¼¥¸¥§¥ó¥È, ·Á¼°Åª¸¡¾Ú, testing, ¥â¥Ç¥ë¥Á¥§¥Ã¥¯
abstract ¥¤¥ó¥¿¡¼¥Í¥Ã¥È¥¨¡¼¥¸¥§¥ó¥È¤Î¥×¥í¥°¥é¥à¸¡¾Ú¤Ë´Ø¤·¤Æ¡¢ ¥â¥Ç¥ë¥Á¥§¥Ã¥­¥ó¥°¤òÃæ¿´¤Ë¤µ¤Þ¤¶¤Þ¤Ê¸¡¾Ú¼êË¡¤ò¾Ò²ð¤¹¤ë¡£ ¤Þ¤¿·Á¼°Åª¸¡¾Ú¤ËŬ¤·¤¿¥¨¡¼¥¸¥§¥ó¥È¥×¥í¥°¥é¥ß¥ó¥°¥·¥¹¥Æ¥à

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pagespp. 315 - 320
keywords Ʊ´ü·¿ÄÌ¿®¥µ¡¼¥Ð, I/O-¥ª¡¼¥È¥Þ¥È¥ó, ¥È¥ì¡¼¥¹°ìÃ×, ·Á¼°Åª¸¡¾Ú, ¥Õ¥©¥ï¡¼¥É¥·¥ß¥å¥ì¡¼¥·¥ç¥ó
abstract ËܹƤǤϡ¢²æ¡¹¤¬³«È¯¤·¤Æ¤¤¤ëƱ´ü·¿ÄÌ¿®¥µ¡¼¥Ð¤Î¼ÂÁõ¤ÎÀµ¤·¤µ¤ò·Á¼°Åª¤Ë¸¡¾Ú¤¹¤ë¡£¶ñÂÎŪ¤Ë¤Ï¡¢Æ±´ü·¿ÄÌ¿®¥µ¡¼¥Ð¤Î½¸ÃæÈǤÈʬ»¶ÈǤòLynch¤ÎI/O-¥ª¡¼¥È¥Þ¥È¥ó¤Çµ­½Ò¤·¡¢»ÅÍͤ«¤é¼ÂÁõ¤Ø¤Î¥Õ¥©¥ï¡¼¥É¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤¬Â¸ºß¤¹¤ë¤³¤È¤ò¾ÚÌÀ¤¹¤ë¡£¤³¤ì¤Ï¡¢¤¢¤ëÃê¾ÝÅ٤ˤª¤¤¤Æ¡¢Ê¬»¶ÈǤ¬½¸ÃæÈǤÎÆ°ºî¤ò;¤¹¤³¤È¤Ê¤¯¹Ô¤¦¤³¤È¤ò¼¨¤·¤Æ¤¤¤ë¡£¤µ¤é¤ËËܹƤϡ¢»ÅÍͤȼÂÁõ¤ÎÆ°ºî·ÏÎ󽸹礬°ìÃפ¹¤ë°ÕÌ£¤Ë¤ª¤¤¤Æ¡¢Ê¬»¶ÈǤ¬½¸ÃæÈǤÎÀµ¤·¤¤¼ÂÁõ¤Ç¤¢¤ë¤³¤È¤ò¾ÚÌÀ¤¹¤ë¡£


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pagespp. 321 - 326
keywords ²óÏ©Àß·×, ¥·¥ß¥å¥ì¡¼¥¿, Àß·×¾ò·ï, NewtonË¡, ÊÐÈùʬ
abstract ËÜÏÀʸ¤Ç¤Ï, ¼þ´üÀ­¤òÍ­¤¹¤ë²óÏ©¤ÎÀ߷פˤª¤¤¤Æ, ¾åµ­·«¤êÊÖ¤·ºî¶È¤ò·×»»µ¡¾å¤Ç¹Ô¤¦¿· ¤¿¤Ê·×»»¥¢¥ë¥´¥ê¥º¥à¤òÄó°Æ¤¹¤ë. Äó°Æ¤¹¤ë¥¢¥ë¥´¥ê¥º¥à¤Ç¤Ïʸ¸¥ \cite{sekiya} ¤ÇÄó °Æ¤µ¤ì¤¿²óÏ©¤ÎÀß·×¥¢¥ë¥´¥ê¥º¥à¤Ë¤ª¤¤¤Æ, Newton Ë¡¤ËÍѤ¤¤ë¥ä¥³¥Ó¹ÔÎó¤òÊÐÈùʬ¤ÎÄê µÁ¤Ë´ð¤Å¤¤¤¿¶á»÷¼°¤ÇÃÖ¤­´¹¤¨¤ë. Äó°Æ¼êË¡¤Ç¤Ï, ²óÏ©ÊýÄø¼°¤òÍۤʷÁ¤ÇÍ¿¤¨¤ëɬÍפ¬¤Ê ¤¤. Äó°Æ¤¹¤ë¥¢¥ë¥´¥ê¥º¥à¤Ç¤Ï, ²óÏ©¹½À®, ¤ª¤è¤Ó²óÏ©¤Î±þÅú¤Î¤ß¤¬É¬ÍפȤʤ뤿¤á, ´û ¸¤Î²óÏ©¥·¥ß¥å¥ì¡¼¥¿¤òήÍѤ·, µ¡Ç½¤òÉղ乤ë·Á¤Ç·«¤êÊÖ¤··×»»¤ò¼Â¸½¤¹¤ë¤³¤È¤¬²Äǽ ¤È¤Ê¤ë. ¤½¤ì¤Ë¤è¤ê, ²óÏ©¹½À®¤Î·èÄ꤫¤é½ê˾¤Î¾ò·ï¤òËþ­¤¹¤ëÁÇ»ÒÃͤÎƳ½Ð¤Þ¤Ç¤òÁ´¤Æ ·×»»µ¡¾å¤Ç¹Ô¤¦¤³¤È¤¬¤Ç¤­, À߷פ˴ؤ¹¤ë»þ´ÖŪ¸úΨ¤¬ÂçÉý¤Ë²þÁ±¤µ¤ì¤ë¤³¤È¤¬´üÂÔ¤µ¤ì¤ë.

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pagespp. 327 - 331
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abstract Ëܸ¦µæ¤Ç¤Ï¡¢Í׵ᤵ¤ì¤¿²óÏ©»ÅÍͤò¤ß¤¿¤¹¤è¤¦¡¢²óÏ©ÁÇ»ÒÃͤò¼«Æ°Åª¤Ë·èÄꤹ¤ë¿·¤·¤¤¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¥Ù¡¼¥¹¼êË¡¤òÄó°Æ¤¹¤ë¡£ºÇŬ²½¼êË¡¤È¤·¤Æ¡¢Ãµº÷ÈϰϤι­¤µ¡¦¼Â¹Ô»þ´Ö¤«¤éSimulated AnnealingË¡¤òºÎÍѤ·¤¿¡£¤Þ¤¿¡¢¤³¤Î¼êË¡¤Î·çÅÀ¤Ç¤¢¤ë¼Â¹Ô»þ´Ö¤òû½Ì¤¹¤ë¤¿¤á¤Ë³¬ÁØ·¿¥³¥¹¥ÈÊ¿Ì̤òƳÆþ¤·¤¿¡£¤³¤ì¤Ï¡¢½ÅÍפʥ³¥¹¥È¤È¡¢Ä̾ï¤Î¥³¥¹¥È¤È¤¤¤¦£²¸Ä¤Î¥³¥¹¥ÈÊ¿Ì̤«¤é¹½À®¤µ¤ì¤Æ¤¤¤ë¡£¤Þ¤º¡¢½ÅÍ×¥³¥¹¥È¤òɾ²Á¤·¤Æ¼¡¤Î¥¹¥Æ¥Ã¥×¤ò¼Â¹Ô¤¹¤ë¤«¤É¤¦¤«¤ò·èÄꤹ¤ë¡£¼¡¤Î¥¹¥Æ¥Ã¥×¤È¤¤¤¦¤Î¤Ï¡¢Ä¾Î®¡¦¸òή¡¦²áÅϲòÀϤΤ褦¤ÊÄ̾ï¤Î²òÀϤò¼Â¹Ô¤¹¤ë¤³¤È¤Ç¤¢¤ë¡£¤³¤Î¤è¤¦¤Ë¤·¤Æ¡¢¾Êά¤··×»»»þ´Ö¤Îû½Ì¤ò¤ª¤³¤Ê¤¦¤â¤Î¤Ç¤¢¤ë¡£¸¦µæ¤Ç¡¢°ìÈÌŪ¤Ê2ÃÊOP-AMP¤ËÂФ·¤ÆÁÇ»ÒÃͤκÇŬ²½¤ò¹Ô¤¤¡¢Í×µá»ÅÍͤòËþ¤¿¤¹Àß·×Ãͤ¬µá¤Þ¤ë¤³¤È¤ò³Îǧ¤·¤¿¡£


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¥»¥Ã¥·¥ç¥ó A2-3 [An/Asʬ²Ê²ñ¹çƱ´ë²è] ÈóÀþ·Á²óÏ©¤ÎľήưºîÅÀ¤ÎÂç°èŪµá²òË¡ (13:30-14:30)
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abstract ¡¡²óÏ©¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ç¤Ï¡¤¥Ë¥å¡¼¥È¥óË¡¤ÎÈó¼ý«ÌäÂ꤬ľήưºîÅÀ²òÀϤˤª¤±¤ë½ÅÂç¤Ê¥Ü¥È¥ë¥Í¥Ã¥¯¤È¤·¤ÆÀ¤³¦Ãæ¤ÎÀß·×¼Ô¤òǺ¤Þ¤»¤Æ¤¤¤¿¡¥É®¼Ô¤Ï1994ǯ¤Ë³«ºÅ¤µ¤ì¤¿Ëܥ¥¯¥·¥ç¥Ã¥×¤Ç¡¤¡Ø¥Û¥â¥È¥Ô¡¼Ë¡¡¿KatzenelsonË¡¥Ù¡¼¥¹²óÏ©¥·¥ß¥å¥ì¡¼¥¿¤Î²ÄǽÀ­¡Ù¤ÈÂꤹ¤ë¾·ÂÔ¹Ö±é¤ò¹Ô¤¤¡¤¥Û¥â¥È¥Ô¡¼Ë¡¤òÍѤ¤¤¿Âç°èŪ¼ý«À­¤Î¤¢¤ë²óÏ©¥·¥ß¥å¥ì¡¼¥¿¤Î²ÄǽÀ­¤Ë¤Ä¤¤¤ÆÏÀ¤¸¤¿¡¥¤¢¤ì¤«¤é10ǯ¡¤¤³¤ÎÊý¸þ¤Î¸¦µæ¤ÏÈôÌöŪ¤ÊȯŸ¤ò¿ë¤²¡¤¼ÂÍѲ½¥ì¥Ù¥ë¤Ë¤Þ¤ÇÅþ㤷¤¿¡¥Ëܾ·ÂÔ¹Ö±é¤ÎÁ°È¾¤Ç¤Ï¡¤¤³¤Î¤è¤¦¤Ê¸¦µæ¤ÎȯŸ¾õ¶·¤ÈºÇ¶á¤ÎÆ°¸þ¤Ë¤Ä¤¤¤Æ¡Ê»º³Ø¶¨Æ±¤Îµ¡²ñ¤òÍ¿¤¨¤Æ¤¯¤ì¤¿Ëܥ¥¯¥·¥ç¥Ã¥×¤Ø¤Î´¶¼Õ¤Îµ¤»ý¤Á¤ò¹þ¤á¤Ê¤¬¤é¡ËÊó¹ð¤·¤¿¤¤¡¥ ¡¡¤½¤Î¸åÉ®¼Ô¤Ï1997ǯ¤Ë³«ºÅ¤µ¤ì¤¿ÅŻҾðÊóÄÌ¿®³Ø²ñÁí¹çÂç²ñ¤Î¥Ñ¥Í¥ëƤÏÀ¡Ö¥Ý¥¹¥ÈSPICE¥·¥ß¥å¥ì¡¼¥¿¡×¤Ç¡¤¡ØÍýÏÀ¤¬¼ÂÍѤˤʤë¤Þ¤Ç¡Ù¤ÈÂꤹ¤ë´ðÄ´¹Ö±é¤ò¹Ô¤¤¡¤¼¡¤Ë¼è¤êÁȤà¤Ù¤­Ì¤²ò·èÌäÂê¤È¤·¤Æ¤ÎÁ´²òõº÷Ë¡¤Ë¤Ä¤¤¤Æ½Ò¤Ù¡¤¤½¤Î²ÄǽÀ­¤Ë¤Ä¤¤¤ÆÏÀ¤¸¤¿¡¥¤¢¤ì¤«¤é7ǯ¡¤Á´²òõº÷Ë¡¤Î¸¦µæ¤Ï¤¤¤Þ¤À¼ÂÍѲ½¤Ë¤ÏÅþ㤷¤Æ¤¤¤Ê¤¤¤¬¡¤´ðÁø¦µæ¤È¤·¤Æ¤ÏÈôÌöŪ¤Ê¿ÊÊâ¤ò¿ë¤²¡¤¿ôÀéÊÑ¿ô¥¯¥é¥¹¤ÎÌäÂ꤬²ò¤±¤ë¤è¤¦¤Ë¤Ê¤ê¤Ä¤Ä¤¢¤ë¡¥¤·¤«¤·¡¤¼ÂÍѲ½¤ËÅþ㤹¤ë¤Ë¤Ï¤Þ¤À¤¤¤¯¤Ä¤«¤Î¥¹¥Æ¥Ã¥×¤òƧ¤àɬÍפ¬¤¢¤ë¡¥Ëܾ·ÂÔ¹Ö±é¤Î¸åȾ¤Ç¤Ï¡¤Á´²òõº÷Ë¡¤Ë´Ø¤¹¤ë¸¦µæ¤ÎȯŸ¾õ¶·¤ÈºÇ¶á¤ÎÀ®²Ì¤Ë¤Ä¤¤¤Æ¡ÊËܥ¥·¥ç¥Ã¥×¤Îµ¡Ç½¤ËºÆÅÙ´üÂÔ¤¹¤ëµ¤»ý¤Á¤ò¹þ¤á¤Ê¤¬¤é¡ËÊó¹ð¤·¤¿¤¤¡¥ ¡¡


¥»¥Ã¥·¥ç¥ó A2-4 ²óÏ©¤Î¿ôÃͲòÀÏ(1) (14:55-15:55)
ºÂĹ: Àõ°æ ½¨¼ù (ÀŲ¬Âç³Ø)

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pagespp. 351 - 356
keywords ²óÏ©¥·¥ß¥å¥ì¡¼¥¿, SPICE, ¿ôÃͲòÀÏ, ¥Û¥â¥È¥Ô¡¼Ë¡, ¿ôÍý·×²èÌäÂê
abstract ¥Ñ¥¹ÄÉÀײóÏ©¤Ï¡¤¡Ö¼°¤ò²óÏ©¤Çµ­½Ò¤¹¤ë¡×¤È¤¤¤¦µÕžŪȯÁۤ˴ð¤Å ¤¯ÊýË¡ÏÀ¤Ç¤¢¤ë¡¥¤¹¤Ê¤ï¤Á¡¤°ìÈ̤ËÈóÀþ·Á¥·¥¹¥Æ¥à¤Î¿ôÃͲòÀÏ¤Ç¤Ï ¥·¥¹¥Æ¥à¡ÊÎ㤨¤Ð²óÏ©¡Ë¤òÊýÄø¼°¤Çµ­½Ò¤·¡¤¤½¤ì¤Ë¿ôÃͲòË¡¤òŬÍÑ ¤¹¤ë¤¬¡¤¥Ñ¥¹ÄÉÀײóÏ©¤ÎÊýË¡¤Ç¤Ï¿ôÃͲòË¡¤Î¼°¤ò²óÏ©¤Çµ­½Ò¤·¡¤¤½ ¤ì¤Ë²óÏ©¥·¥ß¥å¥ì¡¼¥¿SPICE¤òŬÍѤ¹¤ë¡¥¤½¤ì¤Ë¤è¤ê¼ê·Ú¤Ç¥×¥í¥°¥é ¥ß¥ó¥°¤Î¤¤¤é¤Ê¤¤¿ôÃͲòÀϤò¼Â¸½¤¹¤ë¤³¤È¤¬¤Ç¤­¤ë¡¥¤Þ¤¿¡¤SPICE¤Ë ÅëºÜ¤µ¤ì¤¿ÍÍ¡¹¤Ê¼êË¡¤¬¿ôÃͲòÀϤθúΨ¤òÂçÉý¤Ë¸þ¾å¤µ¤»¤ë¤³¤È¤¬ ´üÂÔ¤µ¤ì¤ë¡¥ËܹƤǤϡ¤¥Û¥â¥È¥Ô¡¼Ë¡¡ÊMathematica¤äMATLAB¤Ë¤Ï¤Ê ¤¤µ¡Ç½¡Ë¤Î¸ø¼°¤òµ­½Ò¤¹¤ë¥Ñ¥¹ÄÉÀײóÏ©¤ò¡¤²óÏ©²òÀϰʳ°¤ÎÌäÂꡤ ¶ñÂÎŪ¤Ë¤ÏÉÔÆ°ÅÀÌäÂꡤÀþ·Á·×²èÌäÂꡤÈóÀþ·Á·×²èÌäÂê¤Ê¤É¤Ë±þÍÑ ¤¹¤ë¡¥¤³¤ì¤é¤Ï¸Å¤¯¤«¤é¤Î¥Û¥â¥È¥Ô¡¼Ë¡¤Î±þÍÑʬÌî¤Ç¤¢¤ë¤ÈƱ»þ ¤Ë¡¤¥Û¥â¥È¥Ô¡¼Ë¡¤ÎÂç°èŪ¼ý«À­¤¬¾ÚÌÀ¤µ¤ì¤Æ¤¤¤ëʬÌî¤Ç¡¤¤³¤ì¤Ë ¤è¤ê¿ôÃͲòÀϤ䥪¥Ú¥ì¡¼¥·¥ç¥ó¥º¡¦¥ê¥µ¡¼¥Á¤ÎʬÌî¤Ë¿·¤·¤¤ÊýË¡ÏÀ ¤òƳÆþ¤Ç¤­¤ë¤³¤È¤¬´üÂÔ¤µ¤ì¤ë¡¥¤Þ¤¿SPICE¥æ¡¼¥¶¡¼¤Ë¤È¤Ã¤Æ¤Ï»È¤¤ ´·¤ì¤¿SPICE¤òÍѤ¤¤Æ¼ê·Ú¤ËÍøÍѤǤ­¤ë¶Ë¤á¤Æ¼Â¸½ÍưפÊÊýË¡¤È¤Ê ¤ë¡¥

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abstract SPICE¤ËÂåɽ¤µ¤ì¤ëÈÆÍѲóÏ©¥·¥ß¥å¥ì¡¼¥¿¤Ç¤Ï¡¢ÆþÎÏ¿®¹æ¤«¤é¸«¤Æ²óÏ©¤Î¥Ñ¥é¥á¡¼¥¿¤¬»þ´Ö¤ÇÊѲ½¤¹¤ë²óÏ©¤ÎAC²òÀϤòľÀܹԤ¦¤³¤È¤Ï¤Ç¤­¤Ê¤¤¡£¥¹¥¤¥Ã¥Á¥É¥­¥ã¥Ñ¥·¥¿²óÏ©¤Ê¤É¤ÎÆÃÄê¤Î²óÏ©¤Ë¤Ä¤¤¤Æ¤Ï¡¢ÀìÍѥġ¼¥ë¤¬Â¸ºß¤¹¤ë¤¬¡¢»ÈÍѤǤ­¤ëÁǻҤ¬¸ÂÄꤵ¤ì¤ë¤Ê¤É¤ÎÀ©Ìó¤¬Â¿¤¤¡£ ËÜÏÀʸ¤Ç¤Ï¡¢¿ôÃÍÀÑʬ¤òÍøÍѤ·¤Æ¡¢¼þ´üŪÀþ·Á»þÊѲóÏ©¤Î¼þÇÈ¿ô±þÅú¤ò·×»»¤¹¤ë¼êË¡¤Ë¤Ä¤¤¤Æ¡¢·×»»Î̤ȷ׻»µ¡¤Î¥á¥â¥ê¤Î»ÈÍÑÎ̤òÂçÉý¤Ëºï¸º¤·¤¿¼êË¡¤òÄó°Æ¤¹¤ë¡£ÎãÂê²óÏ©¤Ë¤è¤ê¡¢Äó°Æ¼êË¡¤ÎÍ­¸úÀ­¤ò³Îǧ¤·¤¿¡£ ËܼêË¡¤Ç¤Ï¡¢¿ôÃÍÀÑʬ¤òŬÍѤ·¤Æ²òÀϤ¹¤ë¤Î¤Ç¡¢ÁǻҤÎÀ©¸Â¤¬Ìµ¤¯¡¢¥×¥í¥°¥é¥à¤Î¼ÂÁõ¤âÍưפǤ¢¤ë¡£


¥»¥Ã¥·¥ç¥ó A2-5 ²óÏ©¤Î¿ôÃͲòÀÏ(2) (16:00-17:00)
ºÂĹ: ¶¶ËÜ ¾»µ¹ (ÂçºåÂç³Ø ¾ðÊó²Ê³Ø¸¦µæ²Ê ¾ðÊó¥·¥¹¥Æ¥à¹©³ØÀ칶)

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pagespp. 363 - 368
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abstract ESD¤Ëµ¯°ø¤¹¤ëÀß·×·«¤êÊÖ¤·¤òËɤ°¤¿¤á¤Ë¤Ï¡¢Àß·×Ãʳ¬¤Ë¤ª¤±¤ëESDÊݸî²óÏ©Ì֤θ¡¾Ú¤¬É¬ÍפǤ¢¤ë¡£ËܹƤǤϡ¢Á´¤Æ¤Î¥Ñ¥Ã¥É¥Ú¥¢¤Î¥Ñ¥Ã¥ÉÅÅ°µ¤¬²òÀϲÄǽ¤ÊESDÊݸî²óÏ©Ì֤Υեë¥Á¥Ã¥×²òÀϼêË¡¤òÄó°Æ¤¹¤ë¡£ËܼêË¡¤ÏºÇû·Ðϩõº÷¤È²óÏ©¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤ÎÍøÅÀ¤òÁȤ߹ç¤ï¤»¤Æ¤ª¤ê¡¢ºÇû·Ðϩõº÷¤ÈƱÅù¤Î½èÍý»þ´Ö¤Ç¡¢¤è¤êÀºÅÙ¤ÎÎɤ¤¥Ñ¥Ã¥ÉÅÅ°µ¤Î²òÀϤ¬²Äǽ¤È¤Ê¤Ã¤Æ¤¤¤ë¡£¼Â¸³·ë²Ì¤«¤é¡¢ËܼêË¡¤Ë¤è¤ê¡¢ESDÂкö¤Ë¤è¤ë¥Ñ¥Ã¥ÉÅÅ°µ¤ÎÄ㸺¸ú²Ì¤Îͽ¬¤¬²Äǽ¤Ç¤¢¤ë¤³¤È¤¬¼¨¤µ¤ì¤¿¡£¤Þ¤¿¡¢858¥Ñ¥Ã¥É¤Î¥Á¥Ã¥×¤ËÂФ·¤Æ¡¢Á´¤Æ¤Î¥Ñ¥Ã¥É¥Ú¥¢¤Î¥Ñ¥Ã¥ÉÅÅ°µ²òÀϤ¬2»þ´Ö°ÊÆâ¤Ç¼Â¹Ô¤Ç¤­¤¿¡£

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Ãø¼Ô ¡ûµ×ÊÝÅÄ ±ÑÀµ(ÀŲ¬Âç³Ø), ÅÏîµ µ®Ç·(ÀŲ¬¸©Î©Âç³Ø), ¹ÓÌÚ ·ò¼¡(¥½¥Ë¡¼), Àõ°æ ½¨¼ù(ÀŲ¬Âç³Ø)
pagespp. 369 - 374
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abstract ËÜÊó¹ð¤Ç¤Ï¡¤Ã±½ã¤Ê¹½Â¤¤ÎÇÛÀþ¤ò»ý¤Ä´ðÈĤËÂФ·¡¤Â¬Äê¤ÈFDTDË¡¤Ë¤è¤ë²òÀϤò¹Ô¤¤¡¤S¥Ñ¥é¥á¡¼¥¿¤ÎÈæ³Ó¤ò¹Ô¤¤¡¤¤µ¤é¤ËFDTDË¡¤òÍѤ¤¤¿²òÀϤÎÀºÅ٤˴ؤ·¤Æ¸¡Æ¤¤ò¹Ô¤¦¡¥ÇÛÀþ¤ÎS¥Ñ¥é¥á¡¼¥¿¤ÎÈæ³Ó¤Ë¤ª¤¤¤Æ¡¤¥»¥ë¥µ¥¤¥º¤Ëµ¯°ø¤¹¤ë¸íº¹¤Ï¡¤¥â¥Ç¥ë²½¤µ¤ì¤¿ÇÛÀþ¤ÎÆÃÀ­¥¤¥ó¥Ô¡¼¥À¥ó¥¹¤Î¸íº¹¤È¸À¤¤´¹¤¨¤ë¤³¤È¤¬¤Ç¤­¤ë¡¥¤½¤³¤Ç¡¤FDTDË¡¤ÈƱÍͤ˳ʻҾõ¤Î¥»¥ë¤¬ÍѤ¤¤é¤ì¤ëFDM¤Ë¤è¤Ã¤ÆÆÃÀ­¥¤¥ó¥Ô¡¼¥À¥ó¥¹¤ÎÃͤò¸«ÀѤâ¤ë¤³¤È¤Ë¤è¤ê¡¤É¬ÍפȤ¹¤ëÀºÅÙ¤ËÂФ¹¤ëºÇŬ¤Ê¥»¥ë¥µ¥¤¥º¤Î·èÄê¤Ë´Ø¤¹¤ë¸¡Æ¤¤ò¹Ô¤¦¡¥¤µ¤é¤Ë¡¤ÆÃÀ­¥¤¥ó¥Ô¡¼¥À¥ó¥¹¤ÎÊäÀµ¤òÍѤ¤¤¿¡¤¸úΨŪ¤ÊÇÛÀþ¤Î²òÀϼêË¡¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë¡¥


¥»¥Ã¥·¥ç¥ó Ba2-1 AD/DAÊÑ´¹´ï (9:00-10:15)
ºÂĹ: À¾¾ë Ϲ¬ (¥½¥Ë¡¼³ô¼°²ñ¼Ò)

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abstract ¤³¤ÎÏÀʸ¤Ç¤Ï¡¢I, Q¥Ù¡¼¥¹¥Ð¥ó¥É¿®¹æ¤ò¥Ç¥¸¥¿¥ëŪ¤ËÊÑÄ´¤·¤Æ DAÊÑ´¹¤ò¹Ô¤¤¡¢¤½¤Î½ÐÎϤò¥ß¥­¥µ¤Èȯ¿¶´ï¤Ë¤è¤ê¹â¼þÇÈ¿®¹æ¤Ë¼þÇÈ¿ôÊÑ´¹¤ò¹Ô¤¦Êý¼°¤òÍѤ¤¤¿¹â¼þÇÈ¿®¹æȯÀ¸´ï¤Ë¤ª¤¤¤Æ¡¢½ÐÎÏ¿®¹æ¤ÎÄ㥹¥×¥ê¥¢¥¹²½¤Î¤¿¤á¤Ë¡¢I¡¢Q·ÐÏ©¤Î 2ch DAÊÑ´¹´ï¤òµ¼»÷¥é¥ó¥À¥à¤ËÀÚ¤êÂؤ¨¤ë¥À¥¤¥Ê¥ß¥Ã¥¯¡¦¥Þ¥Ã¥Á¥ó¥°Ë¡¤òÄó°Æ¤¹¤ë¡£¤³¤Î¼êË¡¤Ë¤è¤ê 2ch DAC´Ö¤ÎÆÃÀ­¤Î¥ß¥¹¥Þ¥Ã¥Á¤Ë¤è¤Ã¤ÆÀ¸¤¸¤ë¥¹¥×¥ê¥¢¥¹À®Ê¬¤¬¼þÇÈ¿ô³È»¶¤µ¤ìSFDR¤¬¸þ¾å¤¹¤ë¤³¤È¤òMatlab, Simulink ¤òÍѤ¤¤¿¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ç³Îǧ¤·¤¿¡£

Âê̾A Note on Jitter Noise and Harmonic Components of AD/DA Converters in Generating IF Signals
Ãø¼Ô ¡ûKoichi Ichige, Hiroyuki Arai(Yokohama National University)
pagespp. 381 - 384
keywords AD/DA converter, IF signal, jitter noise, undersampling, harmonic components
abstract This paper aims at developing IF signal generator at several hundred MHz using low sampling-rate AD and DA converters. The proposed generator is assumed to be used in mobile communication applications, especially as a fundamental device for Software Defined Radio. First we study on the effect of jitter noise in AD converter to the quality and the transmission speed of communication. The effect of jitter noise cannot be ignored when we employ undersampling technique. Therefore we should discuss appropriate undersampling rate for high-speed data transmission. Then we study on the use of alias harmonic components in DA conversion for generating high-frequency IF signal with low sampling-rate DA converter. Here we would see if harmonic components can improve the communication quality while preserving low sampling-rate in DA conversion. Some simulation and experimental results will be shown to see if the proposed system really works.

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pagespp. 385 - 390
keywords ¥·¥°¥Þ¦¤¥Ç¥ë¥¿, ¾è»»´ï, Î̻Ҳ½
abstract ¥·¥°¥Þ¥Ç¥ë¥¿ÊÑÄ´¤òÍѤ¤¤¿¹âÀºÅ٤ʾ軻Î̻Ҳ½´ï¤Î¿·¤·¤¤¼êË¡¤òÄó°Æ¤¹¤ë¡£¤³¤Î¥·¥°¥Þ¥Ç¥ë¥¿¾è»»Î̻Ҳ½´ï¤Ï2¾è²óÏ©¤È2¸Ä¤Î1¥Ó¥Ã¥È¥·¥°¥Þ¥Ç¥ë¥¿ADÊÑ´¹´ï¤è¤ê¹½À®¤µ¤ì¡¢2¤Ä¤Î¥¢¥Ê¥í¥°ÆþÎϤξ軻·ë²Ì¤ò¥Ç¥£¥¸¥¿¥ë²½¤µ¤ì¤¿¥Ñ¥ë¥¹¤Ç½ÐÎϤ¹¤ë¡£Äó°Æ¼êË¡¤ò¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤ê¸¡¾Ú¤·¤¿¡£¥¢¥Ê¥í¥°¾è»»½èÍý¤Î¹âÀºÅÙ²½¤Ï̤²ò·è¤Ê¤Þ¤Þ¤Ç¤¢¤ë¤¬¡¢Äó°Æ¼êË¡¤Ë¤è¤ê¹âÀºÅÙ²½¤¬´üÂԤǤ­¤ë¡£


¥»¥Ã¥·¥ç¥ó Ba2-2 ¥¢¥Ê¥í¥°¿®¹æ½èÍý (10:45-12:00)
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pagespp. 391 - 395
keywords ¥Ñ¥ë¥¹·Á¥Ï¡¼¥É¥¦¥§¥¢¥Ë¥å¡¼¥í¥ó¥â¥Ç¥ë, 2¼¡¸µ¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯, ¥Ñ¥ë¥¹ÅÁÈÂ, ¸ÇÍ­¼þ´ü, ÉÔ±þ´ü
abstract ²æ¡¹¤Ï¡¤À¸ÂΤλɷã³èÆ°¤òÌϤ·¤¿ºÙ˦ÂΤΥâ¥Ç¥ë¤Ç¤¢¤ë¥Ñ¥ë¥¹·Á¥Ï¡¼¥É¥¦¥§¥¢¥Ë¥å¡¼¥í¥ó¥â¥Ç¥ë¤òÍѤ¤¤Æ¡¢¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯¤ò¹½ÃÛ¤¹¤ë¤³¤È¤òÌÜŪ¤Ë¸¦µæ¤ò¹Ô¤Ã¤Æ¤¤¤ë¡£º£²ó¡¢¥Ñ¥ë¥¹·Á¥Ï¡¼¥É¥¦¥§¥¢¥Ë¥å¡¼¥í¥ó¥â¥Ç¥ë¤È¥·¥Ê¥×¥¹¥â¥Ç¥ë¤òÍѤ¤¤Æ¡¤2¼¡¸µ¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯¤ò¹½À®¤·¡¤¤½¤Î¥Ñ¥ë¥¹ÅÁÈÂÆÃÀ­¤Ë¤Ä¤¤¤Æ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤ë¸¡Æ¤¤ò¹Ô¤Ã¤¿¡£¤½¤Î·ë²Ì¡¢³°¼þÉôµÚ¤ÓÆâÉô¤Î³Æ¥Ñ¥ë¥¹·Á¥Ï¡¼¥É¥¦¥§¥¢¥Ë¥å¡¼¥í¥ó¥â¥Ç¥ë¤Î¥Ñ¥ë¥¹½ÐÎϼþ´ü¤ä¡¤±þÅúÆÃÀ­µÚ¤Ó¡¤¥Í¥Ã¥È¥ï¡¼¥¯Æâ¤ò¥Ñ¥ë¥¹¤¬ÅÁȤ¹¤ë·ÐÏ©¤ò·è¤á¤ëÍ×°ø¤Î°ì¤Ä¤Ë¡¤³°¼þÉô¤Î¸ÇÍ­¼þ´ü¤¹¤Ê¤ï¤ÁÆþÎÏ°ÌÃÖµÚ¤Ó¡¤ÆâÉô¤ÎÉÔ±þ´ü¤¬±Æ¶Á¤¹¤ë¤³¤È¤ò¼¨º¶¤·¤¿¡£

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Ãø¼Ô ¡ûÅļ À¿°ìϺ(Ä»¼èÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²ÊÅŵ¤ÅŻҹ©³ØÀ칶), ÀÐÅÄ ²í(Ä»¼èÂç³ØÁí¹ç¾ðÊó½èÍý¥»¥ó¥¿¡¼), Éû°æ ͵(Ä»¼èÂç³Ø¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê)
pagespp. 397 - 401
keywords giren
abstract ¶áǯ,Äã¾ÃÈñÅÅÎÏ,¹­¤¤¥À¥¤¥Ê¥ß¥Ã¥¯¥ì¥ó¥¸¤Ê¤É¤ÎÍøÅÀ¤¬¤¢¤ëÅÅή¥â¡¼¥É¥Õ¥£¥ë¥¿¤¬Äó°Æ¤µ¤ì¤Æ¤¤¤ë.ËܹƤǤÏCC­¶(second generation current conveyor),CFCC­¶(current follower CC­¶)¤òÍѤ¤¤¿1¼¡¤È2¼¡ÅÅή¥â¡¼¥É¥Õ¥£¥ë¥¿¤òÄó°Æ¤¹¤ë.¤³¤³¤Ç2¼¡¥Õ¥£¥ë¥¿¤Ë¤Ä¤¤¤Æ¤ÏÁǻҿô¤¬¾¯¤Ê¤¤²óÏ©¹½À®¤ÈÁǻҿô¤¬Â¿¤¯¤Ê¤ë¤¬ÁÇ»ÒÃͤËÍøÅÀ¤¬¤¢¤ë²óÏ©¹½À®¤Î2¼ïÎà¤òÄó°Æ¤¹¤ë.¤Þ¤¿Äó°Æ¤·¤¿¥Õ¥£¥ë¥¿¤ò½Ä³Àܳ¤¹¤ë¤³¤È¤Ë¤è¤ê£µ¼¡¥Ð¥¿¥ï¡¼¥¹LPF¤ò¼Â¸½¤·,PSpice¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤ÈÍýÏÀ²òÀϤȤòÈæ³Ó¤·¤¿.

Âê̾FTFN¤ÈOTA¤òÍѤ¤¤¿¥¤¥ß¥¿¥ó¥¹ÊÑ´¹´ï¤Î°ì¹½À®
Ãø¼Ô ¡ûÀÐÀî ·Ã°ì(Ä»¼èÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²ÊÅŵ¤ÅŻҹ©³ØÀ칶¿®¹æ½èÍý¸¦µæ¼¼), Æâ¼ ²íºÈ(Ä»¼èÂç³Ø¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê¿®¹æ½èÍý¸¦µæ¼¼), ÀÐÅÄ ²í(Ä»¼èÂç³ØÁí¹ç¾ðÊó½èÍý¥»¥ó¥¿¡¼), Éû°æ ͵(Ä»¼èÂç³Ø¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê)
pagespp. 403 - 407
keywords cc2ad844
abstract ¥¢¥Ê¥í¥°¿®¹æ½èÍý¤ÎʬÌî¤Ë¤ª¤¤¤ÆǽưÁǻҤòÍѤ¤¤¿¥¤¥ß¥¿¥ó¥¹¥·¥ß¥å¥ì¡¼¥¿¤Ë´Ø¤¹¤ëÏÀʸ¤¬¿ô¿¤¯Êó¹ð¤µ¤ì¤Æ¤¤¤ë¡¥¤³¤ì¤é¤ÎÆ⡤OTA¤òÍѤ¤¤¿Gyrator¤È¥³¥ó¥Ç¥ó¥µ¤Ë¤è¤ê¹½À®¤µ¤ì¤¿¥¤¥ó¥À¥¯¥¿¥ó¥¹¥·¥ß¥å¥ì¡¼¥·¥ç¥ó²óÏ©¤Ï¾ÃÈñÅÅÎÏ¡¤ÍøÍѤ¹¤ë¼þÇÈ¿ôÂӰ衤»ÈÍѼõÆ°ÁǻҿôÅù¤ÎÌ̤ÇÍ¥¤ì¤¿ÆÃÀ­¤ò¼¨¤·¤Æ¤¤¤ë¡¥¤Þ¤¿¡¤¶áǯ¡¤Ç½Æ°ÁǻҤȤ·¤ÆFTFN¤¬ÃíÌܤµ¤ì¤Æ¤¤¤ë¡¥¤·¤«¤·¡¤¥¤¥ß¥¿¥ó¥¹ÊÑ´¹´ï¤Ë´Ø¤¹¤ëÏÀʸ¤Ï¤¢¤Þ¤ê¸¡Æ¤¤µ¤ì¤Æ¤¤¤Ê¤¤¡¥ËÜÏÀʸ¤Ç¤Ï¡¤FTFN¤ò2¸ÄÍѤ¤¤¿³Æ¼ï¥¤¥ß¥¿¥ó¥¹ÊÑ´¹´ï¤Î¿·¤·¤¤¹½À®Ë¡¤ò´ð¤È¤·FTFN¡¡2¸Ä¤ÈOTA¡¡1¸Ä¤ÈÀÜÃÏ·¿¼õÆ°ÁÇ»Ò1¸Ä¤Ç¹½À®¤µ¤ì¤ëGyrator¤Î¹½À®¤òÄó°Æ¤¹¤ë¡¥¹¹¤Ë¡¤ËÜ´ðËܹ½À®²óÏ©¤ØFTFN¤Ç¹½À®¤µ¤ì¤ëÁÞÆþ²óÏ©¤ò½ç¼¡Éղ䷤Ƥ¤¤¯¤³¤È¤Ë¤è¤ê¡¤°ìÈÌŪ¤Ê¥¤¥ß¥¿¥ó¥¹ÊÑ´¹²óÏ©¤¬ÆÀ¤é¤ì¤ë¤³¤È¤òÌÀ¤é¤«¤Ë¤·¤Æ¤¤¤ë¡¥


¥»¥Ã¥·¥ç¥ó Ba2-3 [Ba/Cʬ²Ê²ñ¹çƱ´ë²è]¥¢¥Ê¥í¥°Àß·×¼êË¡ (13:30-14:45)
ºÂĹ: ¼ÆÅÄ È¥ (¥¢¥Ê¥í¥°¡¦¥Ç¥Ð¥¤¥»¥º³ô¼°²ñ¼Ò)

Âê̾¥È¥Ã¥×¥À¥¦¥óÀ߷פòÌÜŪ¤È¤¹¤ëPLL¤ÎVerilog-A¤Ë¤è¤ë¥â¥Ç¥ë²½¤È¥·¥ß¥å¥ì¡¼¥·¥ç¥ó
Ãø¼Ô ¡ûÂ籺 ¿ò±û(ÀŲ¬Âç³ØÅŻҲʳظ¦µæ²Ê), Ê¿¹© ÂÙÇ·(ÀŲ¬Âç³ØÍý¹©³Ø¸¦µæ²Ê), ÎëÌÚ ÊÙ(ÀŲ¬Âç³ØÅŻҲʳظ¦µæ²Ê), Àõ°æ ½¨¼ù(ÀŲ¬Âç³ØÅŻҲʳظ¦µæ²Ê¡¢ÀŲ¬Âç³ØÍý¹©³Ø¸¦µæ²Ê¡¢ÀŲ¬Âç³Ø¹©³ØÉô¥·¥¹¥Æ¥à¹©³Ø²Ê)
pagespp. 409 - 414
keywords ¥¢¥Ê¥í¥°HDL, Verilog-A, ²óÏ©¥·¥ß¥å¥ì¡¼¥·¥ç¥ó, PLL
abstract ËÜÊó¹ð¤Ç¤Ï¡¤PLL¤Î¹½À®Í×ÁǤËÅŸ»ÅÅ°µ¤Î±Æ¶Á¤ò¹Íθ¤·¤¿Verilog-A¤Ç¤Îµ­½ÒÊýË¡¤ò¼¨¤¹¡¥PLL¤ò¹½À®¤¹¤ë²óÏ©¤Ç¤¢¤ëVCO¡¤¥Á¥ã¡¼¥¸¥Ý¥ó¥×¤ÎÅŸ»ÅÅ°µÊÑÆ°¤Ø¤Î±Æ¶Á¤ò¼¨¤·¡¤Verilog-A¤ÎÆ°ºîµ­½Ò¤ËƳÆþ¤¹¤ë¡¥¤½¤·¤Æ¡¤Verilog-A¤È¥È¥é¥ó¥¸¥¹¥¿¤Ç¤ÎÀ߷פ·¤¿²óÏ©¤È¤ÎÈæ³Ó¤ò¹Ô¤¤¡¤Æ°ºîµ­½Ò¤ÎÂÅÅöÀ­¤ò¼¨¤¹¤È¤È¤â¤Ë¡¤Verilog-A¤òÍѤ¤¤ëÀ߷פÎÍ­¸úÀ­¤ò¼¨¤¹¡¥Ëܵ­½ÒÊýË¡¤Ë¤è¤ê¡¤¥¢¥Ê¥í¥°/¥Ç¥£¥¸¥¿¥ëº®ºÜ²óÏ©¤Î¼ÂºÝŪ¤Ê¾å°Ì¥ì¥Ù¥ë¤Î¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤¬²Äǽ¤È¤Ê¤ê¡¤¥È¥Ã¥×¥À¥¦¥óÀ߷פòÍưפˤ¹¤ë¤â¤Î¤È¤Ê¤ë¡¥

Âê̾¿Ê²½Åª¥°¥é¥ÕÀ¸À®¼êË¡¤Ë´ð¤Å¤¯¥«¥ì¥ó¥È¥ß¥é¡¼²óÏ©¤Î¹çÀ®
Ãø¼Ô ¡û²Æ°æ ²íŵ, ËÜ´Ö ¾°Ê¸, ÀÄÌÚ ¹§Ê¸(ÅìËÌÂç³ØÂç³Ø±¡¾ðÊó²Ê³Ø¸¦µæ²Ê), Èõ¸ý ζͺ(ÅìË̹©¶ÈÂç³Ø¹©³ØÉô)
pagespp. 415 - 420
keywords ²óÏ©Àß·×, ¿Ê²½Åª·×»»¼êË¡, ¥¢¥Ê¥í¥°²óÏ©
abstract ËÜÏÀʸ¤Ç¤Ï¡¤ÀìÌçÃ챤òÍѤ¤¤º¤ËÍÍ¡¹¤Ê²óÏ©¹½Â¤¤òÁÏȯŪ¤ËÀ¸À®¤¹¤ë¼êË¡¤È¤·¤Æ¡¤¿Ê²½Åª¥°¥é¥ÕÀ¸À®¼êË¡¡ÊEGG: Evolutionary Graph Generation¡Ë¤òÄó°Æ¤¹¤ë¡¥EGG¤Ï¡¤²óÏ©¹½Â¤¤ò¥°¥é¥Õ¹½Â¤¤È¤·¤ÆÃê¾Ý²½¤·¡¤¤½¤Î¥°¥é¥Õ¹½Â¤¤Ø¤ÎľÀÜŪ¤Ê¹½Â¤Áàºî¤ò¹Ô¤¦¤³¤È¤Ë¤è¤ê¡¤²óÏ©¹½Â¤¤ÎºÇŬ²½¤ò¸úΨŪ¤Ë¼Â¸½¤¹¤ë¡¥ËÜÏÀʸ¤Ç¤Ï¡¤EGG¤Ë´ð¤Å¤¯¥¢¥Ê¥í¥°²óÏ©¹çÀ®¥·¥¹¥Æ¥à¤Î¹½ÃۤˤĤ¤¤Æ½Ò¤Ù¤ë¡¥¹çÀ®ÂоݤȤ·¤Æ¥«¥ì¥ó¥È¥ß¥é¡¼¤òºÎÍѤ·¡¤¹çÀ®¼Â¸³¤Î·ë²Ì¤«¤é¡¤ÌÜŪ¤Ë±þ¤¸¤¿ÍÍ¡¹ ¤Ê²óÏ©¹½Â¤¤Î¿Ê²½Åª¹çÀ®¤¬²Äǽ¤Ç¤¢¤ë¤³¤È¤ò¼¨¤¹¡¥

Âê̾¥ì¥É¥Ã¥¯¥¹¡¦¥Þ¥¤¥¯¥í¥¢¥ì¡¼¤òÍѤ¤¤¿¶½Ê³À­È¿±þ³È»¶¾ì¤Î¼Â¸½
Ãø¼Ô ¡ûÊ¿ÄÍ âÃɧ(ÀçÂæÅÅÇȹ©¶È¹âÅùÀìÌç³Ø¹» ¾ðÊóÄÌ¿®¹©³Ø²Ê), ÃÓÅÄ ÌÐ, ÀÄÌÚ ¹§Ê¸(ÅìËÌÂç³Ø Âç³Ø±¡¾ðÊó²Ê³Ø¸¦µæ²Ê), Èõ¸ý ζͺ(ÅìË̹©¶ÈÂç³Ø ¹©³ØÉô)
pagespp. 421 - 426
keywords ʬ»Ò¥³¥ó¥Ô¥å¡¼¥Æ¥£¥ó¥°, ʬ»Ò¥Ç¥Ð¥¤¥¹, È¿±þ³È»¶·Ï, ÈóÀþ·Á¥À¥¤¥Ê¥ß¥¯¥¹, ¥¢¥Ê¥í¥°½¸ÀѲóÏ©
abstract The possibility of constructing high-density parallel computing architectures using molecular electronics technology is explored. By employing molecular computing devices, such as artificial catalyst devices, new circuit/system integration could be realized. To clarify the proposed concept, an experimental model of a redox microarray is presented. To implement a multichannel potentiostat that controls a redox microarray, a CMOS integrated circuit of prototype operational amplifiers is fabricated.




¥»¥Ã¥·¥ç¥ó Bd2-1 ¼Â¸½µ»½Ñ(2) (9:00-10:15)
ºÂĹ: µÆÃÓ µ×Ï (¿·³ãÂç³Ø)

Âê̾Elastic Graph Matching¤Î¤¿¤á¤Î¥Ç¥£¥¸¥¿¥ë¥¤¥á¡¼¥¸¥×¥í¥»¥Ã¥µLSI¤Î¥¢¡¼¥­¥Æ¥¯¥Á¥ã
Ãø¼Ô ¡ûÃæÌî Å´Ê¿, ¿¹¹¾ δ(¶å½£¹©¶ÈÂç³ØÂç³Ø±¡À¸Ì¿Âι©³Ø¸¦µæ²Ê)
pagespp. 427 - 432
keywords ´éǧ¼±, ʪÂÎǧ¼±, Elastic Graph Matching, ¥Ç¥£¥¸¥¿¥ë¥¤¥á¡¼¥¸¥×¥í¥»¥Ã¥µLSI
abstract ËÜÏÀʸ¤Ç¤Ï¡¤Elastic Graph Matching(EGM)½èÍý¤ò¹Ô¤¦¥Ç¥£¥¸¥¿¥ë¥¤¥á¡¼¥¸¥×¥í¥»¥Ã¥µLSI¤Î¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤òÄó°Æ¤¹¤ë¡¥EGM¤È¤Ï¡¤³Ê»Ò¾õ¤ËÇÛÃÖ¤·¤¿É¾²ÁÅÀ¤òÆþÎϲèÁü¡¤µ­²±²èÁü¤½¤ì¤¾¤ì¤ËÀßÄꤷ¡¤Âбþ¤¹¤ëɾ²ÁÅÀ¤Ç¤Î°ìÃ×Å٤ι⤵¤È³Ê»Ò¤ÎÏĤߤξ¯¤Ê¤µ¤ÇÄêµÁ¤µ¤ì¤ëɾ²Á´Ø¿ô¤¬ºÇÂç¤Ë¤Ê¤ë¤è¤¦¤Ë¡¤É¾²ÁÅÀ¤ò°ÜÆ°¤µ¤»¤ë¤È¤¤¤¦¥Þ¥Ã¥Á¥ó¥°¼êË¡¤Ç¤¢¤ë¡¥É¾²ÁÅÀ¤ò°ÜÆ°¤µ¤»¤ÆÈæ³Ó¤¹¤ë¤¿¤á¡¤ÂоÝʪ¤ÎÊѲ½¤Ë´è·ò¤Ç¤¢¤ë¤È¤¤¤¦ÆÃŤ¬¤¢¤ë¡¥Äó°Æ¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤Ï¡¤³Ê»ÒÅÀ¼þÊդΰìÃ×Å٥ǡ¼¥¿¤ò¸úΨŪ¤Ë´ÉÍý¤¹¤ë¤³¤È¤Ç¡¤·×»»¥¹¥Æ¥Ã¥×¤òºï¸º¤Ç¤­¤ë¡¥50MHzÆ°ºî¤ò²¾Äꤹ¤ë¤È¡¤1²ó¤Î¥Þ¥Ã¥Á¥ó¥°½èÍý¤ò0.457¥ß¥êÉäǼ¹ԤǤ­¤ë¤³¤È¤¬¸«ÀѤâ¤é¤ì¤¿¡¥

Âê̾MC-CDMA¤ÈW-CDMA¤ÎÅù²Áɽ¸½¤Ë¤â¤È¤Å¤¯FFT¤òÍѤ¤¤¿HSDPA¤Î°ì³çµÕ³È»¶Ë¡
Ãø¼Ô ¡ûÃæ¼ ÁïÂÀ, À¾Àî À¶»Ë(ÅìµþÅÔΩÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²ÊÅŵ¤¹©³ØÀ칶)
pagespp. 433 - 438
keywords FFT, W-CDMA, MC-CDMA, OFDM
abstract W-CDMA¡ÊWideband Code Division Multiple Access¡Ë¤ÎHSDPA¡ÊHigh Speed Downlink Packet Access¡Ë¤Ç¤Ï¡¤ OVSFÉä¹æ¤òÍѤ¤¤¿¥Þ¥ë¥Á¥³¡¼¥ÉÅÁÁ÷¤Ë¤è¤ê¹â®¤ÊÅÁÁ÷¤ò¼Â¸½¤·¤Æ¤¤¤ë¡¥ ¤·¤«¤·¡¤¼õ¿®Â¦¤Ç¤Ï¿½Å¥³¡¼¥É¿ô¤Ë±þ¤¸¤ÆÊ£¿ô¤ÎOVSFÉä¹æ¤Ë¤è¤ê¼õ¿®¿®¹æ¤ò¤½¤ì¤¾¤ìµÕ³È»¶¤·¤Ê¤±¤ì¤Ð¤Ê¤é¤Ê¤¤¤¿¤á¡¤µÕ³È»¶½èÍý¤¬Ê£»¨¤È¤Ê¤ë¡¥ ËܹƤǤϡ¤OVSFÉä¹æ¤Î¼þ´üÀ­¤ò¹Íθ¤·¡¤¹â®¥Õ¡¼¥ê¥¨ÊÑ´¹¡ÊFFT¡Ë¤òÍѤ¤¤Æ°ì³ç¤ËµÕ³È»¶¤¹¤ë¤³¤È¤Ë¤è¤ê¡¤µÕ³È»¶½èÍý¤ò·Ú¸º¤¹¤ëÊýË¡¤òÄó°Æ¤¹¤ë¡¥

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Ãø¼Ô ¡ûÀÞÌî ͵°ìϺ, ¹õß· ¼Â(Åìµþ¹©¶ÈÂç³Ø Áí¹çÍý¹©³Ø¸¦µæ²Ê), ÊÒ¶Í ¿ò(¤¹¤Æ¤­¤Ê(Í­))
pagespp. 439 - 443
keywords DDS, ¦¤¦²ÊÑÄ´, ¥Ç¥£¥¸¥¿¥ë¼þÇÈ¿ô¹çÀ®, 1¥Ó¥Ã¥È¿®¹æ
abstract Ǥ°Õ¤Î¼þÇÈ¿ô¤Î¿®¹æ¤òÆÀ¤ëÊýË¡¤È¤·¤Æ¡¢¦¤¦²ÊÑÄ´¿®¹æÎó¤òDDS(Direct Digital Synthesis)¤Î°ÌÁêÁýʬ¤ËÍѤ¤¤ë¼êË¡¤òÄó°Æ¤·¸¡Æ¤¤¹¤ë¡£ËܼêË¡¤Ç¤Ï¦¤¦²ÊÑÄ´¤Î¸ú²Ì¤Ç°ÌÁêÃͤÎLSB°Ê²¼¤Î»Ø¼¨¤¬²Äǽ¤È¤Ê¤ê¡¢¤³¤ì¤Ë¤è¤ê¥¹¥×¥ê¥¢¥¹¤Î¸¶°ø¤È¤Ê¤êÆÀ¤ë°ÌÁê´Ý¤á¤ò¹Ô¤ï¤º¤Ë½ÐÎϼþÇÈ¿ôʬ²òǽ¤Î¸þ¾å¤¬¿Þ¤ì¤ë¡£¤µ¤é¤Ë¥¯¥í¥Ã¥¯¤è¤ê½½Ê¬Ä㤤¼þÇÈ¿ô°è¤Ç¤Ï°ì¼ï¤ÎÊ¿³ê¸ú²Ì¤¬ÆÀ¤é¤ì¡¢Æ±¥¯¥í¥Ã¥¯¤ÇÍýÁÛŪ¤ËÀþ·ÁÊä´Ö¤ò¹Ô¤¦¤è¤ê¹­¤¤SFDR¤¬ÆÀ¤é¤ì¤ë¤³¤È¤ò¡¢1 ¥Ó¥Ã¥È¤Î¦¤¦²ÊÑÄ´¿®¹æ¤òÍѤ¤¤¿¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Î·ë²Ì¤È¤·¤Æ¼¨¤¹¡£¤³¤ì¤é¤ÎÆÃħ¤«¤é¡¢¹â¼þÇÈ¿ôʬ²òǽ¤Ç¤«¤Ä¹âÉʼÁ¤Ê¿®¹æ¹çÀ®¤ò¾®µ¬ÌϤʲóÏ©¤Ç¼Â¸½¤Ç¤­¤ë²ÄǽÀ­¤ò½Ò¤Ù¤ë¡£


¥»¥Ã¥·¥ç¥ó Bd2-2 ´ðÁᦥե£¥ë¥¿ (10:30-12:10)
ºÂĹ: ÃæÀÅ ¿¿ (ÂçºåÂç³Ø)

Âê̾Theory of the optimum approximation of vector-signals that must be useful in many fields of signal processing in bio-informatics
Ãø¼Ô Yuichi Kida(Hitachi Ltd.), ¡ûTakuro Kida(Nihon University)
pagespp. 445 - 450
keywords vector-signal, best approximation
abstract Recently, NMR experiment shows that the analysis of the 3-dimensional structure of prion-protein becomes important in the field of prion disease such as BSE (bovine spongiform encephalopathy). Further, in DNA analysis, it is required to approximate DNA subsequences by linear combinations of analog base functions corresponding to nucleotide bases $\{A,C,G,T\}$ and approximate these DNA subsequences based on sample values at decimated sample points arranged non-uniformly.¡¡In this paper, we present generalized optimum approximation for a certain set of vector-signals that must be useful in many fields of signal processing in bio-informatics mentioned above. The presented approximation is quite flexible in choosing sample points and linear pre-processing. The number of variables for a signal and its generalized spectrum are different, in general. In this analysis, we consider the set of vector-signals such that the generalized spectrums have weight-ed norms smaller than a given positive number.¡¡The presented approximation minimizes various worst-case measure of approximation error at the same time among all the linear and the nonlinear approximations under the same conditions.

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Ãø¼Ô ¡û²Ú²¬ Àé¿Ò, Åĸý μ(É𢹩¶ÈÂç³Ø¹©³ØÉôÅŵ¤ÅŻҾðÊ󹩳زÊ)
pagespp. 451 - 456
keywords ¥Ç¥£¥¶Ë¡, ¸íº¹³È»¶Ë¡, Åù¿§Îΰè, ¥Ç¡¼¥¿°Í¸·¿½èÍý
abstract ¿³¬Ä´¥Ç¥£¥¸¥¿¥ë²èÁü¤ò2³¬Ä´(Çò¹õ)¤Î¥Ç¥Ð¥¤¥¹¤Ë½ÐÎϤ¹¤ëºÝ¤Ë¡¢Ç»Ã¸¤òµ¼»÷Ū¤Ëɽ¸½¤¹¤ë¥Ï¡¼¥Õ¥È¡¼¥ó½èÍý¤¬¹Ô¤ï¤ì¡¢ÂåɽŪ¤Ê¤â¤Î¤È¤·¤Æ¸íº¹³È»¶Ë¡¤¬µó¤²¤é¤ì¤ë¡£¤³¤Î¸íº¹³È»¶Ë¡¤ÎÌäÂê¤Ï¡¢¿®¹æ¤¬µÞ·ã¤ËÊѲ½¤¹¤ëÉôʬ¤Î¡¢ÊѲ½¸å¤ÎÉôʬ¤¬¥Ï¡¼¥Õ¥È¡¼¥ó²½¤µ¤ì¤Ê¤¤¤³¤È¤Ç¤¢¤ë¡£¤³¤Î¤³¤È¤Ë¤è¤ê¡¢Çò¤«¤é¹õ¤Ø¤Î¥¨¥Ã¥¸¤Ç¤Ï¹õ¤ÎÅù¿§Îΰ褬¡¢¹õ¤«¤éÇò¤Ø¤Î¥¨¥Ã¥¸¤Ç¤ÏÇò¤ÎÅù¿§Îΰ褬ȯÀ¸¤¹¤ë¡£ËÜÏÀʸ¤Ç¤Ï¡¢Åù¿§Îΰè¤ò²óÈò¤¹¤ë¿·¤·¤¤ÊýË¡¤ÎÄó°Æ¤ò¹Ô¤¦¡£Åù¿§Îΰ褬ÁöººÊý¸þÁ°Êý¤ËÂФ·¤Æ¡¢¤½¤ÎÃͤ¬ÉÔŬÅö¤ÊÎ̻Ҳ½¸íº¹¤ò³È»¶¤¹¤ë¤³¤È¤Ë¤è¤Ã¤ÆÀ¸¤¸¤ë¡£¤½¤³¤Ç¡¢¤½¤Î¤³¤È¤òËɤ°¤¿¤á¤Ë¡¢ÆþÎϲèÁü¤ÎÅù¿§Îΰ褬ȯÀ¸¤¹¤ë¤ÈȽÃǤµ¤ì¤ë¥¨¥Ã¥¸Éôʬ¤òͽ¤áÊ¿³ê²½¥Õ¥£¥ë¥¿¤Ë¤è¤Ã¤Æ¡¢ºï¤Ã¤Æ¤ª¤­¡¢ÁöººÊý¸þÁ°Êý¤Î°Û¤Ê¤Ã¤¿Ãͤò¤â¤ÄÎΰè¤ËÂФ¹¤ëÎ̻Ҳ½¸íº¹ÃͤÎÉÔŬÅö¤µ¤òÍÞ¤¨¤ë¤³¤È¤ò¹Í¤¨¤ë¡£¤Þ¤¿¡¢ÆþÎϲèÁü¤Î¥Ü¥±¤òËɤ°¤¿¤á¤Ë¥Õ¥£¥ë¥¿½èÍý¤òÅù¿§Îΰè¤ò²óÈò¤¹¤ë¤³¤È¤Ë¸ÂÄꤹ¤ë¥Ç¡¼¥¿°Í¸·¿½èÍý¤È¤¹¤ë¡£Äó°Æ¤¹¤ë¼êË¡¤Ï¡¢¸íº¹³È»¶Ë¡¤Ë´Êñ¤ÊÁ°½èÍýÍѤΥǡ¼¥¿°Í¸·¿¥Õ¥£¥ë¥¿¤òƳÆþ¤·¤¿¤À¤±¤Ç¡¢Åù¿§Îΰè¤Î²óÈò¤ò²Äǽ¤È¤·¤¿Í¥¤ì¤¿ÊýË¡¤Ç¤¢¤ë¡£

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pagespp. 457 - 462
keywords image processing, halftoning, error diffusion, mean density approximation
abstract This paper describes an enhancement of Error Di usion Method and its characteristics. The enhanced Error Di usion includes Mean Density Approximation Method. We can easily tune sharpness of halftone images by designing two feedback filters. Some examples of halftoned images and parameter dependency are also shown.

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pagespp. 463 - 468
keywords ½ä²ó·¿¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿, ¸íº¹¥Õ¥£¡¼¥É¥Ð¥Ã¥¯²óÏ©, ´Ý¤á»¨²», ʬ»Þ¸ÂÄêË¡, ´ËÏÂÌäÂê
abstract ËÜÏÀʸ¤Ç¤Ï¡¤¸íº¹¥Õ¥£¡¼¥É¥Ð¥Ã¥¯·¸¿ô¤òÍ­¸Â¸ìĹ¤ÇºÇŬ²½¤¹¤ëÌäÂê¤Ë¤Ä¤¤¤ÆÏÀ¤¸¤ë¤Æ¤¤¤ë¡¥Äó°Æ¼êË¡¤Ç¤Ï¡¤´ËÏÂÌäÂê¤Î²¼³¦ÃÍɾ²Á¤òÍѤ¤¤¿Ê¬»Þ¸ÂÄêË¡¤ò¤³¤ÎÌäÂê¤ËŬÍѤ·¡¤ºÇŬ¤ÊÎ¥»¶·¸¿ô¤Î¸íº¹¥Õ¥£¡¼¥É¥Ð¥Ã¥¯²óÏ©¤òÀ߷פ¹¤ë¡¥ËÜÀß·×Ë¡¤ÎÆÃĹ¤Ï¡¤À߷פµ¤ì¤¿Î¥»¶·¸¿ô¤ÎºÇŬÀ­¤¬Êݾڤµ¤ì¡¤¸·Ì©²ò¤¬ÆÀ¤é¤ì¤ëÅÀ¤Ë¤¢¤ë¡¥ ¿ôÃÍÎã¤Ç¤Ï¡¤ËÜ¥¢¥ë¥´¥ê¥º¥à¤òÍѤ¤¤ÆÀ߷פ·¤¿Í­¸Â¸ìĹ¸íº¹FB²óÏ©¤ÈϢ³ÃÍ·¸¿ô¤Îñ½ã´Ý¤á¤Ë¤è¤ë·ë²Ì¤òÈæ³Ó¤·¡¤ËܼêË¡¤ÎÍ­¸úÀ­¤ò¸¡¾Ú¤·¤Æ¤¤¤ë¡¥


¥»¥Ã¥·¥ç¥ó Bd2-3 Éä¹æ²½(2) (13:10-14:50)
ºÂĹ: ´ä¶¶ À¯¹¨ (Ĺ²¬µ»½Ñ²Ê³ØÂç³Ø Åŵ¤·Ï)

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Ãø¼Ô ¡ûÀÐÅÄ ÂóËû, ¼¾¾ Àµ¸ã, ËÌÀî ÂçÊå, ¾®ÎÓ ¿®²ð, µÆÃÓ µ×ÏÂ(¿·³ãÂç³Ø¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê)
pagespp. 469 - 474
keywords SNR¥¹¥±¡¼¥é¥Ö¥ë, »þ¶õ´Ö¥¹¥±¡¼¥é¥Ö¥ë, ²ÄµÕ¥Ç¥¤¥ó¥¿¥ì¡¼¥¹½èÍý, ¥Ç¥¤¥ó¥¿¥ì¡¼¥µ¥Ð¥ó¥¯
abstract »þ¶õ´Ö¥¹¥±¡¼¥é¥Ö¥ë±ÇÁüÉä¹æ²½¤Î¤¿¤á¤Î¿·¤¿¤Ê¥Ä¡¼¥ë¤È¤·¤Æ¡¤´°Á´ºÆ¹½À®¥Ç¥¤¥ó¥¿¥ì¡¼¥µ¥Ð¥ó¥¯¤òÄó°Æ¤¹¤ë¡¥¤³¤ì¤Ï¡¤ÆþÎÏ¥×¥í¥°¥ì¥Ã¥·¥Ö±ÇÁü¤Î¥Õ¥ì¡¼¥à¥ì¡¼¥È¤òȾʬ¤Ë¤·¤¿Æó¤Ä¤Î¥×¥í¥°¥ì¥Ã¥·¥Ö±ÇÁü¤Ëʬ²ò¤·¡¤¤«¤Ä¡¤Ãæ´Ö¥Õ¥©¡¼¥Þ¥Ã¥È¤È¤·¤Æ¥¤¥ó¥¿¥ì¡¼¥¹±ÇÁü¤òÍ¿¤¨¤ë¿·¤¿¤Ê¥Õ¥£¥ë¥¿¥Ð¥ó¥¯¤Ç¤¢¤ë¡¥½¾Íè¤Î¥Õ¥£¥ë¥¿¥Ð¥ó¥¯¤È¤Ï°Û¤Ê¤ê¡¤É®¼Ô¤é¤¬Àè¤ËÄó°Æ¤·¤¿²ÄµÕ¥Ç¥¤¥ó¥¿¥ì¡¼¥¹½èÍý¤òÍѤ¤Â¿¼¡¸µÆÃÍ­¤ÎÊýË¡¤Ç¹½À®¤µ¤ì¤Æ¤¤¤ë¡¥ËÜÊó¹ð¤Ç¤Ï¡¤¥¤¥ó¥¿¥ì¡¼¥¹±ÇÁü¤È¤·¤ÆÆó¼ïÎà¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤·¤Æ¤¤¤ë¡¥°ì¤Ä¤Ï¹­¤¯ÍøÍѤµ¤ì¤Æ¤¤¤ë»þ´Ö¿âľQuincunx(¥é¥¤¥ó¥Ù¡¼¥¹)Êý¼°¤Ç¤¢¤ê¡¤°ìÊý¤ÏFCO(¥Ý¥¤¥ó¥È¥Ù¡¼¥¹)Êý¼°¤Ç¤¢¤ë¡¥¤Þ¤¿¡¤¤³¤ì¤é¤Î¥Ç¥¤¥ó¥¿¥ì¡¼¥µ¥Ð¥ó¥¯¤òÍøÍѤ·¤¿¿·¤¿¤Ê»þ¶õ´Ö¥¹¥±¡¼¥é¥Ö¥ë±ÇÁüÉä¹æ²½¤òÄó°Æ¤¹¤ë¡¥É®¼Ô¤é¤Ï¤³¤ì¤ò¥Õ¥£¡¼¥ë¥É¥¹¥±¡¼¥é¥Ö¥ë±ÇÁüÉä¹æ²½¤È¸Æ¤Ö¤³¤È¤Ë¤¹¤ë¡¥ËܼêË¡¤Ë¤è¤ê¡¤´ðËܥ쥤¥ä¤Î¤ß¤ÇȾʬ¤Î¥ì¡¼¥È¤Î¥×¥í¥°¥ì¥Ã¥·¥Ö±ÇÁü¤È¥¤¥ó¥¿¥ì¡¼¥¹±ÇÁü¤ÎÉü¹æ¤¬¡¤³ÈÄ¥¥ì¥¤¥ä¤òÄɲ乤뤳¤È¤Ç¸¶±ÇÁü¤ÎÉü¹æ¤¬²Äǽ¤È¤Ê¤ë¡¥¤¤¤¯¤Ä¤«¤ÎÉä¹æ²½¼Â¸³·ë²Ì¤Ë¤è¤êËܼêË¡¤ÎÍ­¸úÀ­¤ò³Îǧ¤¹¤ë¡¥

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pagespp. 475 - 480
keywords Î¥»¶»þ´Ö·¿¥»¥ë¥é¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯, ¥ê¥Õ¥Æ¥£¥ó¥°, ¥¦¥§¡¼¥Ö¥ì¥Ã¥ÈÊÑ´¹, ¥í¥¹¥ì¥¹²èÁüÉä¹æ²½, ²èÁüÊä´Ö
abstract liftingÊý¼°¤ÏÁÐľ¸òWavelet¤ò¹½ÃÛ¤¹¤ë1¤Ä¤Î¼êË¡¤Ç¤¢¤ê, ½¾Íè¤Î¼þÇÈ¿ôÎΰè¤Ë´ð¤Å¤¯Éä¹æ²½¤ò¶õ´ÖÎΰè¤Ç¤ÎÊä´Ö¤È¤·¤Æ¹Í¤¨¤ë¤³¤È¤¬¤Ç¤­¤ë. ËÜÏÀʸ¤Ç¤Ï, Î¥»¶»þ´Ö·¿¥»¥ë¥é¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯(DT-CNN)¤òÍѤ¤¤¿Ê¬Î¥·¿2¼¡¸µlifting¤Ë´ð¤Å¤¯lossless²èÁüÉä¹æ²½¼êË¡¤òÄó°Æ¤¹¤ë. ½¾Íè¤ÎliftingÊý¼°¤Ç¤Ï, ºÇŬ¤ÊÀþ·Á¥Õ¥£¥ë¥¿¤¬»ÈÍѤµ¤ì¤ë¤¬, ·¸¿ô¤ÎÀ°¿ô²½¤Î¤¿¤á¤Îround-off±é»»»Ò¤Ë¤Ä¤¤¤Æ¤Ï¹Í褵¤ì¤Æ¤¤¤Ê¤¤. ¤½¤ì¤ËÂФ·, Äó°Æ¼êË¡¤Ç¤Ï, DT-CNN¤Î½ÐÎÏ´Ø¿ô¤È¤·¤Æ¿ÃÍÎ̻Ҳ½´Ø¿ô¤òÍѤ¤¤ë¤³¤È¤Ë¤è¤Ã¤Æ, Î̻Ҳ½¸íº¹¤ò¹Íθ¤·¤¿ºÇŬ¤ÊÊä´Ö½èÍý¤¬¼Â¸½¤Ç¤­¤ë. ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ç¤Ï, ÍÍ¡¹¤Êɸ½à²èÁü¤Ë´Ø¤·¤Æ¼Â¸³¤ò¹Ô¤¤,½¾Íè¤Î¼êË¡¤ÈÈæ³Ó¤·¤ÆÉä¹æ²½À­Ç½¤¬²þÁ±¤µ¤ì¤Æ¤¤¤ë¤³¤È¤¬¼¨¤µ¤ì¤¿.

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pagespp. 481 - 485
keywords MPEG, ·ÈÂÓµ¡´ï, ¾Ê±é»»ÎÌ, Äã¾ÃÈñÅÅÎÏ
abstract LSI¤ÎÈùºÙ²½¤Ë¤è¤ë¹â½¸ÀѲ½¡¢¹â®²½¡¢Äã¾ÃÈñÅÅÎϲ½¡¢¤ª¤è¤Ó¤½¤ÎÀß·×µ»½Ñ¤Î¿Ê²½¤Ë»Ù¤¨¤é¤ì¡¢·ÈÂÓ·¿¤Î¾ðÊóÄÌ¿®µ¡´ï¤Ç¥ê¥¢¥ë¥¿¥¤¥à¤Ë±ÇÁü¤ò°µ½Ì¤¹¤ë¤³¤È¤¬¸½¼ÂŪ¤Ë¤Ê¤ê¤Ä¤Ä¤¢¤ë¡£¤·¤«¤·¡¢·ÈÂÓ·¿µ¡´ï¤Ç¤ÎÆ°²èÁüÉä¹æ²½¤Ë¤ÏÄã¾ÃÈñÅÅÎϤȹⰵ½ÌΨ¤È¤¤¤¦ÁêÈ¿¤¹¤ëÍ×µá¤ò¼Â¸½¤¹¤ëɬÍפ¬¤¢¤ë¡£Ëܸ¦µæ¤Ç¤Ï¡¢·ÈÂÓµ¡´ï¤Ç»£Áü¤ÈƱ»þ¤ËÆ°²èÁü¤ÎÉä¹æ²½¤ò¹Ô¤¦¤È¡¢»£Áü»þ¤Î¥«¥á¥é¤Î¶õ´ÖŪ¤ÊÆ°¤­¤òÍøÍѤ¹¤ë¤³¤È¤¬¤Ç¤­¤ë¤³¤È¤ËÃíÌܤ·¡¢¥«¥á¥é¤ÎÆ°¤­¤òÍøÍѤ·¤Æ¾¯¤Ê¤¤±é»»Î̤ǹⰵ½ÌΨ¤ò¼Â¸½¤¹¤ëÆ°²èÁüÉä¹æ²½¼êË¡¤òÄó°Æ¤¹¤ë¡£ Äó°Æ¼êË¡¤Ç¤Ï¡¢ÀÅ»ßʪÂΤΤߤ¬Â¸ºß¤¹¤ëÆ°²èÁü¤Ë¤ª¤¤¤Æ, ´û¸¤Î¹â®¥¢¥ë¥´¥ê¥º¥à¤ËÈæ¤Ù¤Æ45\%¤Î±é»»Î̤Ǥ¢¤ë¤Ë¤â¤«¤«¤ï¤é¤º, °µ½Ì¸å¤Î²è¼Á¤Ï, Á´Ãµº÷¼êË¡¤ÈƱÅù¤«¤½¤ì°Ê¾å¤Ç¤¢¤ë¤³¤È¤¬¤ï¤«¤Ã¤¿¤¿.

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pagespp. 487 - 492
keywords Wedgelet, ²èÁü°µ½Ì, ¥¨¥Ã¥¸¾ðÊó
abstract ¡¡²èÁü°µ½Ìµ»½Ñ¤Ï¡¤¼«Á³²èÁü°µ½Ì¤òÌÜŪ¤È¤¹¤ëJPEG¤äJPEG2000Êý¼°¡¤¿Í¹©²èÁü°µ½Ì¤òÌÜŪ¤È¤¹¤ëGIFÊý¼°¤Ê¤É¤ËÂçÊ̤µ¤ì¤ë¡¥¤Þ¤¿²èÁüǧ¼±¤Ë¤ª¤¤¤ÆÎسÔÉô¤Ï¡¤½ÅÍפʾðÊó¤Ç¤¢¤ë¡¥Wedgelet¤ÏÎسԾðÊó¤òÊݸ¤¹¤ë¤¦¤¨¤Ç¤¹¤°¤ì¤¿°µ½ÌË¡¤È¤·¤ÆÄó°Æ¤µ¤ì¤Æ¤¤¤ë¡¥ ¡¡ËÜÏÀʸ¤Ç¤Ï¡¤ÎسÔÀþ¤ÎϢ³À­¤ËÃåÌܤ·¡¤Ã±½ã¤Ê2ÃͲèÁü¤òÍѤ¤¤Æ¡¤ÎسÔÀþ¤ÎϢ³À­¤òÊÝ»ý¤·¤Ä¤Ä¡¤²è¼Á¤ò¸þ¾å¤µ¤»¤ë¤³¤È¤¬¤Ç¤­¤ë¤è¤¦¤ËÎΰè¤òʬ³ä¤·¡¤ÎسÔÀþ¤ò·èÄꤹ¤ë¥¢¥ë¥´¥ê¥º¥à¤òÄó°Æ¤¹¤ë¡¥¤³¤ì¤é¤Î¥¢¥ë¥´¥ê¥º¥à¤ò¤â¤È¤Ë¶á»÷²èÁü¤ò¹½À®¤¹¤ë¤³¤È¤Ç¡¤¥Ó¥Ã¥È¥ì¡¼¥È¤òÄ㤯ÍÞ¤¨¤Ä¤Ä¤â¡¤»ë³ÐŪ¤Ë¤â¸íº¹´Ø¿ô¤Ë¤è¤ëɾ²Á¤«¤é¤â²è¼Á¤Î¹â¤¤¶á»÷²èÁü¤òÆÀ¤ë¤³¤È¤¬¤Ç¤­¤ë¡¥


¥»¥Ã¥·¥ç¥ó Bd2-4 ²èÁü¿®¹æ½èÍý(2) (15:10-16:50)
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pagespp. 493 - 498
keywords Îà»÷À­¸¡½Ð, ½àÀµÂ§¥á¥Ã¥·¥å, ·Á¾õ´Ø¿ô, ºÇû¥Ñ¥¹
abstract ¶áǯÍÍ¡¹¤ÊʬÌî¤Ç3¼¡¸µ¥â¥Ç¥ë¤Î¼ûÍפ¬Áý²½¤·¡¤CAD¤äweb¥³¥ó¥Æ¥ó¥Ä¤Ê¤É¤Ç¿¤¯¤Î3¼¡¸µ¥â¥Ç¥ë¤¬ÍѤ¤¤é¤ì¤Æ¤¤¤ë¡£¤½¤³¤Ç¤³¤ì¤é¤Î¥â¥Ç¥ë¤ò¸úΨ¤è¤¯´ÉÍý¤¹¤ëÌÜŪ¤ÇÎà»÷À­¸¡½Ð¤¬ÃíÌܤòÍá¤Ó¤Æ¤¤¤ë¡£ ¤·¤«¤·¡¤¤³¤ÎʬÌî¤Î¸¦µæ¤Ï¤Þ¤À»Ï¤Þ¤Ã¤¿¤Ð¤«¤ê¤Ç¤¢¤ë¡£ÆÃħ¥Ù¥¯¥È¥ë¤òÈæ³Ó¤·¤ÆÁê°ãÅÙ¤ò·×»»¤¹¤ë¼êË¡¤Ï¤¤¤¯¤Ä¤«Äó°Æ¤µ¤ì¤Æ¤¤¤ë¤¬¡¤¸¡½Ð¥·¥¹¥Æ¥à¤ÎÆþÎϤä·×»»Î̤ξ¯¤Ê¤¤·Á¾õÆÃħ¥Ù¥¯¥È¥ë¤ÎÃê½Ð¡¤¾¯¤Ê¤¤¼¡¿ô¤Î¥Ù¥¯¥È¥ë¤Ç¤ÎÆÃħµ­½Ò¤Ê¤É¡¤¤¤¤Þ¤À¿ô¿¤¯¤ÎÌäÂ꤬»Ä¤µ¤ì¤Æ¤¤¤ë¡£Ëܸ¦µæ¤Ç¤ÏÄó°Æ¤¹¤ë¼êË¡¤Ï¡¤ÀµÂ§¥á¥Ã¥·¥å¤Ç¤Î3¼¡¸µ¥â¥Ç¥ë¶á»÷¤È¡¤Îà»÷À­¸¡½ÐË¡¤«¤é¤Ê¤ë¡£ÈóÀµÂ§¤Ê3¼¡¸µ¥á¥Ã¥·¥å¤ò½àÀµÂ§¥á¥Ã¥·¥å¤ØÊÑ´¹¡Ê¥ê¥á¥Ã¥·¥å¡Ë¤·¡¤ÆÀ¤é¤ì¤¿½àÀµÂ§¥á¥Ã¥·¥å¤ËÂФ·¤ÆºÇû¥Ñ¥¹¤òµá¤á·Á¾õ´Ø¿ô¤òÀ¸À®¤¹¤ë¡£¤½¤Î·Á¾õ´Ø¿ô¤ÎÁê°ãÅÙ¤ÎÂç¾®¤ÇÁê»÷À­¤ò¸¡¾Ú¤¹¤ë¡£

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Ãø¼Ô ¡ûĹëÉô Áï, Æî±À ¿¿(¿·³ãÂç³ØÂç³Ø±¡¼«Á³²Ê³Ø¸¦µæ²Ê), ¼¾¾ Àµ¸ã, µÆÃÓ µ×ÏÂ(¿·³ãÂç³Ø¹©³ØÉôÅÅ´ïÅŻҹ©³Ø²Ê)
pagespp. 499 - 504
keywords Video Indexing, Key Frame Abstaction, Clustering, Wavelets
abstract ËܹƤǤÏÍ¿¤¨¤é¤ì¤¿Æ°²èÁü¤«¤é¥­¡¼¥Õ¥ì¡¼¥à¤òÁªÂò¤¹¤ë¼êË¡¤òÄó°Æ¤¹¤ë¡¥Ëܸ¦µæ¤ËÆÃħŪ¤ÊÅÀ¤Ï¤¹¤Ù¤Æ¤Î½èÍý¤ò¥¦¥§¡¼¥Ö¥ì¥Ã¥ÈÊÑ´¹Îΰè¤Ç¹Ô¤Ã¤Æ¤¤¤ë¤³¤È¤Ç¤¢¤ë¡¥¤Ï¤¸¤á¤Ë¥·¥ç¥Ã¥È¶­³¦¸¡½Ð¤ò¹Ô¤Ê¤¤¡¤¤½¤Î·ë²Ì¤«¤é½é´ü¥­¡¼¥Õ¥ì¡¼¥à¤òÀ¸À®¤¹¤ë¡¥¼¡¤Ë½é´ü¥­¡¼¥Õ¥ì¡¼¥à¤«¤é¥¯¥é¥¹¥¿¥ê¥ó¥°¤Ë¤è¤ê¥­¡¼¥Õ¥ì¡¼¥à¤òÁªÂò¤¹¤ë¡¥À­Ç½É¾²Á¤Î¤¿¤á¤Ë½èÍý»þ´Ö¤ò¬Äꤷ¡¤Å¬¹çΨ¤ò·×»»¤·¤¿¡¥¤½¤Î·ë²Ì¡¤Äó°Æ¼êË¡¤Ï¾¼êË¡¤ÈƱÅù¤Î·ë²Ì¤ò¤è¤êû»þ´Ö¤ÇÆÀ¤é¤ì¤ë¤³¤È¤¬Ê¬¤«¤Ã¤¿¡¥

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pagespp. 505 - 510
keywords CCD¥«¥á¥é, Bayer¥Ñ¥¿¡¼¥ó, Êä´ÖË¡
abstract ñÈļ°¤ÎCCD¥«¥á¥é¤Ç¤Ï¡¢¿§¾ðÊó¤òÆÀ¤ë¤¿¤á¤Ë3¿§¤Î¥Õ¥£¥ë¥¿¤¬CCD¥Á¥Ã¥×¤Î¾å¤Ë¶õ´ÖŪ¤ËÇÛÃÖ¤µ¤ì¤Æ¤¤¤ë¡£¤è¤Ã¤Æ¡¢³Æ²èÁǤǤÏ1¿§¤Î¾ðÊó¤·¤«¥»¥ó¥·¥ó¥°¤Ç¤­¤Ê¤¤¡£¥«¥é¡¼²èÁü¤òÆÀ¤ë¤¿¤á¤Ë¤Ï¡¢ÅöÁ³¡¢Á´²èÁǤÇR,G,B3¿§¤Î¾ðÊó¤¬É¬Íפʤ³¤È¤«¤é¡¢·çÍ¤Æ¤¤¤ë¿§À®Ê¬¤ÏÊä´Ö¤Ë¤è¤Ã¤ÆÆÀ¤ë¤³¤È¤Ë¤Ê¤ë¡£Bayer¥Ñ¥¿¡¼¥ó¤Î¤¿¤á¤ÎÊä´ÖË¡¤Ï¼ï¡¹Äó°Æ¤µ¤ì¤Æ¤¤¤ë¤¬¡¢¤½¤ÎÃæ¤ÇŬ±þŪ¥«¥é¡¼¥×¥ì¡¼¥óÊä´Ö(ACPI)Ë¡¤¬Í¥¤ì¤¿ÊýË¡¤Ç¤¢¤ë¤³¤È¤¬ÃΤé¤ì¤Æ¤¤¤ë¡£ACPIË¡¤ÎÊä´ÖÃͤϴðËÜŪ¤Ë¤ÏƱ¿§À®Ê¬¤ÎÁÐÀþ·ÁÊä´ÖÃͤǤ¢¤ê¡¢¤½¤ÎÊä´ÖÃͤ˾¤Î¿§À®Ê¬¤Î2¼¡Æ³´Ø¿ôÃÍ¡Ê¥é¥×¥é¥·¥¢¥óÃ͡ˤ¬²Ã¤¨¤é¤ì»»½Ð¤µ¤ì¤ë¡£¤è¤Ã¤Æ¡¢¤³¤ÎÊýË¡¤ò²þÎɤ¹¤ë¥Ý¥¤¥ó¥È¤Ï2ÅÀ¤Ç¡¢1ÅÀÌܤÏƱ¿§À®Ê¬¤ÎÁÐÀþ·ÁÊä´ÖÃͤò¤â¤Ã¤ÈŬÀÚ¤ÊÃͤˤ¹¤ë¹©ÉפǤ¢¤ê¡¢¤â¤¦°ì¤Ä¤Î¥Ý¥¤¥ó¥È¤Ï¾¤Î2¼¡Æ³´Ø¿ôÃͤÎÍøÍѤò¤³¤ì¤Þ¤Ç°Ê¾å¤ËŬÀڤ˹Ԥ¦¤³¤È¤Ç¤¢¤ë¡£ËÜÏÀʸ¤Ç¤Ï2¤Ä¤ÎÅÀ¤«¤é¤Î²þÎÉË¡¤ò¼ÂºÝ¤ËÌÀ¤é¤«¤Ë¤·¡¢¤½¤ÎÍ­¸úÀ­¤Î¸¡¾Ú¤ò¹Ô¤Ã¤¿¡£

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Ãø¼Ô ¡ûÆ£µÈ ÀµÌÀ, µ®²È ¿Î»Ö(ÅìµþÅÔΩÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²ÊÅŵ¤¹©³ØÀ칶)
pagespp. 511 - 516
keywords DWT, ²è¼ÁÊݾÚ, ÅÅ»ÒÆ©¤«¤·
abstract ËܹƤǤÏÎ¥»¶¥¦¥§¡¼¥Ö¥ì¥Ã¥ÈÊÑ´¹Îΰè¤ÇǤ°Õ¤ÎÊ£¿ô¤Î¥µ¥Ö¥Ð¥ó¥É¤ËÆ©¤«¤··ÏÎó¤òËä¤á¤ë²è¼ÁÊݾڷ¿ÅÅ»ÒÆ©¤«¤·Ë¡¤òÄó°Æ¤·¤Æ¤¤¤ë¡¥²è¼ÁÊݾڷ¿ÅÅ»ÒÆ©¤«¤·Ë¡¤Ï»ØÄê²è¼Á¤òÍ­¤¹¤ëÆ©¤«¤·²èÁü¤ò¡¤²èÁü¤Ë¤è¤é¤º¡¤¤«¤Ä¡¤»î¹Ôºø¸í¤Ê¤¯¼«Æ°Åª¤ËÀ¸À®¤¹¤ëÆÃħ¤òÍ­¤¹¤ë¡¥Äó°ÆË¡¤Ï½¾ÍèˡƱÍÍ¡¤²è¼ÁÊݾڷ¿¤ª¤è¤ÓÆ©¤«¤··ÏÎóÃê½Ð¤Ë¸¶²èÁü¤òÍפµ¤Ê¤¤È󻲾ȷ¿¤Ç¤¢¤ë¤ÈƱ»þ¤Ë¡¤½¾ÍèË¡¤¬Ëä¹þ¤ßÂоݥµ¥Ö¥Ð¥ó¥É¤ÈÆ©¤«¤··ÏÎó¤È¤Ë»ý¤ÄÀ©Ìó¤ò¼è¤ê½ü¤¯°ìÈ̲½¤µ¤ì¤¿¼êË¡¤Ç¤¢¤ë¡¥



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Ãø¼Ô ¡û»ù¶Ì ¿Æμ, Æ£µÈ Ë®ÍÎ, ¸Å²ì ůʿ(ÅìµþÇÀ¹©Âç³Ø)
pagespp. 517 - 522
keywords Sequence-pair, ¥Õ¥í¥¢¥×¥é¥ó, ¶õ¤­Éô²°, Gridding, ÎÙÀܸòº¹
abstract Í¿¤¨¤é¤ì¤¿¥â¥¸¥å¡¼¥ëÇÛÃÖ¤«¤éÇÛÀþÎΰè¤ò·èÄꤹ¤ë¤Ë¤Ï¡¢ ¥â¥¸¥å¡¼¥ëÇÛÃÖ¤«¤é¶ë·Á¥Ñ¥Ã¥­¥ó¥°É½¸½¤Îsequence-pair¤òÆÀ¤Æ¡¢ ¤³¤ì¤ò¥Õ¥í¥¢¥×¥é¥ó¤ËÊÑ´¹¤¹¤ëÊýË¡¤¬¹Í¤¨¤é¤ì¤ë¡£ ¤·¤«¤·½¾Íè¼êË¡¤Çsequence-pair¤òÆÀ¤ë¤È¡¢ÌµÂ̤ÊÎΰè¡Ê¶õ¤­Éô²°¡Ë¤ò ºÇÂçO(n^2)¸ÄÀ¸À®¤¹¤ë¤Î¤Ç¹¥¤Þ¤·¤¯¤Ê¤¤¡£ ¤½¤³¤ÇËܹƤǶõ¤­Éô²°¿ô¤¬O(n)¸Ä¤Ç¤¢¤ë¥Õ¥í¥¢¥×¥é¥ó¤Ë ÊÑ´¹²Äǽ¤Êsequence-pair¤ò¡¢O(nlogn)»þ´Ö¤Ë¤ÆÆÀ¤ë¼êË¡¤òÄó°Æ¤·¡¢ ¹¹¤Ë¡¢ÆÀ¤é¤ì¤¿¥Õ¥í¥¢¥×¥é¥ó¤Îʬ³äÀþ¤òÍ»¹ç¤·¤Æ¶õ¤­Éô²°¤ò¤Ç¤­¤ë¤À¤±¾Ãµî¤¹¤ë¤È¤¤¤¦ ÌäÂê¤òÄê¼°²½¤·¡¢¤³¤ÎÌäÂê¤ÎºÇŬ²ò¤òÀþ·Á»þ´Ö¤Çµá¤á¤ë¼êË¡¤òÄó°Æ¤¹¤ë¡£

Âê̾¥²¡¼¥È¥¢¥ì¥¤¤òÂоݤȤ·¤¿¥â¥¸¥å¡¼¥ëÇÛÃ֤ؤÎSOM-SAº®À®¼êË¡¤ÎŬÍÑ
Ãø¼Ô ¡û½Å°æ ÆÁµ®, µÜÅç ×¢Èþ(¼¯»ùÅçÂç³Ø¹©³ØÉô)
pagespp. 523 - 528
keywords ¥â¥¸¥å¡¼¥ëÇÛÃÖ, ¥²¡¼¥È¥¢¥ì¥¤, Kohonen¤Î¼«¸ÊÁÈ¿¥²½¥Þ¥Ã¥×, Simulated Annealing
abstract Ëܸ¦µæ¤Ç¤Ï¡¢¥²¡¼¥È¥¢¥ì¥¤¹½Â¤¤òÂоݤȤ·¤¿¥â¥¸¥å¡¼¥ëÇÛÃÖÌäÂê¤Ë¤ª¤¤¤Æ¡¢Kohonen ¤Î¼«¸ÊÁÈ¿¥²½¥Þ¥Ã¥×(SOM) ¤È Simulated Annealing (SA) ¤òÁȤ߹ç¤ï¤»¤¿º®À®¼êË¡SOM-SA¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤¹¤ë¡£ºÇŬ¤Ë¶á¤¤²ò¤ò¸«¤Ä¤±¤ëǽÎϤˤ¹¤°¤ì¤ë¤¬·×»»»þ´Ö¤¬¤«¤«¤ëSA¤È¡¢¤¢¤ëÄøÅ٤βò¤ò¹â®¤Ëµá¤á¤ë¤³¤È¤¬¤Ç¤­¤ëSOM¤òÁȤ߹礻¤ë¤³¤È¤Ç¡¢·×»»»þ´Ö¤Èõº÷ǽÎϤÎξÌ̤ˤª¤¤¤Æ¸ú²ÌŪ¤Ê¼êË¡¤ò¼Â¸½¤¹¤ë¤³¤È¤¬¤½¤Î¤Í¤é¤¤¤Ç¤¢¤ë¡£¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Î·ë²Ì¡¢1)SOM¤Î²ò¤Î¥é¥ó¥À¥à²þÁ±¤Ï¸Â³¦¤¬¤¢¤ë¤Î¤ËÂФ·¡¢ SOM-SA¤Ï¤½¤Î¸Â³¦¤ò¤³¤¨¤é¤ì¤ë¤³¤È¡¢2)SOM-SA¤Ï½ã¿è¤ÊSA¤è¤ê¤âû¤¤»þ´Ö¤ÇƱÄøÅ٤βò¤òÍ¿¤¨¤é¤ì¤ë¤³¤È¤ò¼¨¤¹¡£

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Ãø¼Ô ¡û¾®Ê¿ ¹Ô½¨, ¹â¶¶ ÆÆ»Ê(Åìµþ¹©¶ÈÂç³ØÂç³Ø±¡ Íý¹©³Ø¸¦µæ²Ê ½¸ÀÑ¥·¥¹¥Æ¥àÀ칶)
pagespp. 529 - 534
keywords ½àƱ´ü¼°²óÏ©, ¸Â³¦ºÇ¾®¥¯¥í¥Ã¥¯¼þ´ü, ÃÙ±äÁÞÆþ, ÃÙ±ä;͵ÎÌ, ÃÙ±äÍ×µáÎÌ
abstract ¥ì¥¸¥¹¥¿´Ö¤ÎÃٱ䤬Ϳ¤¨¤¿¤ì¤¿»þ¡¢³Æ¥ì¥¸¥¹¥¿¤ËǤ°Õ¤Î¥¿¥¤¥ß¥ó¥°¤Ç¥¯¥í¥Ã¥¯¤¬¶¡µë¤Ç¤­¤ë¤È¤·¤¿¾ì¹ç¡¢²óÏ©¤¬Æ°ºî¤¹¤ë¤¿¤á¤ÎºÇ¾®¥¯¥í¥Ã¥¯¼þ´ü¤¬Äê¤Þ¤ë¡£¤³¤ÎºÇ¾®¥¯¥í¥Ã¥¯¼þ´ü¤Ï¡¢²óÏ©¤ËÃÙ±ä¤òÁÞÆþ¤¹¤ë¤³¤È¤Ë¤è¤ê¡¢²¼¤²¤é¤ì¤ë²ÄǽÀ­¤¬¤¢¤ë¡£ÃÙ±äÁÞÆþ¤Ë¤è¤êãÀ®¤Ç¤­¤ëºÇ¾®¥¯¥í¥Ã¥¯¼þ´ü¤ò¸Â³¦ºÇ¾®¥¯¥í¥Ã¥¯¼þ´ü¤È¸Æ¤Ö¡£Ëܸ¦µæ¤Ç¤Ï¡¢³ÆÁǻҤ¬°ì°Õ¤ÎÃÙ±äÃͤòÍ­¤·¤Æ¤¤¤ë¤È¤¤¤¦²¾Äê¤Î²¼¤Ç¡¢³Æ¥ì¥¸¥¹¥¿¤Ë¥¯¥í¥Ã¥¯¥¿¥¤¥ß¥ó¥°¤ò³ä¤êÅö¤Æ¤¿¸å¡¢³ÆÇÛÀþ¤ËÂФ¹¤ëÃÙ±ä;͵Î̤ÈÃÙ±äÍ×µáÎ̤ò¸µ¤Ë²óÏ©¤ËÃÙ±ä¤òÁÞÆþ¤¹¤ë¤³¤È¤Ë¤è¤ê¡¢¸Â³¦ºÇ¾®¥¯¥í¥Ã¥¯¼þ´ü¤òãÀ®¤Ç¤­¤ë¼êË¡¤òÄó°Æ¤¹¤ë¡£¤Þ¤¿¡¢´û¸¼êË¡¤ÈÈæ¤Ù¡¢ÁÞÆþ¤¹¤ëÃÙ±äÎÌ¡¢·×»»»þ´Ö¤¬ÍÞ¤¨¤é¤ì¤ë¤³¤È¤ò¼¨¤¹¡£

Âê̾2ÁØBGA¥Ñ¥Ã¥±¡¼¥¸ÇÛÀþ¤Î³µÎ¬·ÐÏ©¼«Æ°À¸À®
Ãø¼Ô µ×ÊÝ ¤æ¤­»Ò(Ë̶彣»ÔΩÂç³Ø ¹ñºÝ´Ä¶­¹©³ØÉô ¾ðÊó¥á¥Ç¥£¥¢¹©³Ø²Ê), ¡û¹â¶¶ ÆÆ»Ê(Åìµþ¹©¶ÈÂç³Ø Íý¹©³Ø¸¦µæ²Ê ½¸ÀÑ¥·¥¹¥Æ¥àÀ칶)
pagespp. 535 - 540
keywords LSI¥Ñ¥Ã¥±¡¼¥¸, ³µÎ¬ÇÛÀþ, ÇÛÀþ·ÐÏ©¼«Æ°À¸À®
abstract ËܹƤǤϡ¤¥Õ¥£¥ó¥¬¡¼¤¬Â¸ºß¤¹¤ëÇÛÀþÁؤȥܡ¼¥ë¤¬Â¸ºß¤¹¤ëÇÛÀþÁØ¡¤·×2ÁؤΥѥ屡¼¥¸ÇÛÀþÁؤËÂФ·¡¤¥Ç¥¶¥¤¥ó¥ë¡¼¥ë¤ò¹Íθ¤·¤Ê¤¬¤é³µÎ¬·ÐÏ©¤ò¼«Æ°À¸À®¤¹¤ë¼êË¡¤òÄó°Æ¤¹¤ë¡¥¥Ü¡¼¥ë¡¤¥Õ¥£¥ó¥¬¡¼¤È¤â¤½¤Î°ÌÃÖ¡¤¥Í¥Ã¥È³ä¤êÅö¤Æ¤ÏÆþÎϤȤ·¤ÆÍ¿¤¨¤é¤ì¤ë¡¥³µÎ¬ÇÛÀþ·ÐÏ©¤Ï³µÎ¬¥Ó¥¢°ÌÃÖ¤¬·èÄꤹ¤ë¤È°ì°Õ¤ËÄê¤Þ¤ë¤Î¤Ç¡¤ËܹƤÇÄó°Æ¤¹¤ë¥¢¥ë¥´¥ê¥º¥à¤ÏÇÛÀþĹ¡¤ÇÛÀþº®»¨ÅÙ¤ò¹Íθ¤·¤Ê¤¬¤é³µÎ¬¥Ó¥¢°ÌÃÖ ¤ò·èÄꤹ¤ë¤³¤È¤Ë¤è¤ê³µÎ¬ÇÛÀþ·ÐÏ©¤ÎÀ¸À®¤ò¼Â¸½¤¹¤ë¡¥ËܹƤÇÄó°Æ¤¹¤ë¥¢¥ë¥´¥ê¥º¥à¤ò¥×¥í¥°¥é¥à¼ÂÁõ¤·¡¤´Êñ¤Ê¥Ç¡¼¥¿¤ËŬÍѤ·¤¿¤È¤³¤í¡¤ÇÛÀþŤ¬Ã»¤¯¡¤ÇÛÀþº®»¨ÅÙ¤¬¶ÑÅù²½¤µ¤ì¤¿³µÎ¬ÇÛÀþ·ÐÏ©¤¬ÆÀ¤é¤ì¤ë¤³¤È¤ò¼¨¤¹¡¥


¥»¥Ã¥·¥ç¥ó C2-2 ¥³¥ó¥Õ¥£¥®¥å¥é¥Ö¥ë¡¦¥×¥í¥»¥Ã¥µÀ¸À®µ»½Ñ¤Î¸½¾õ¤Èº£¸å¤ÎŸ˾ (11:00-12:00)
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Ãø¼Ô ¡ûº£°æ Àµ¼£, ÉðÆâ ÎÉŵ(ÂçºåÂç³Ø)
pagespp. 541 - 548


¥»¥Ã¥·¥ç¥ó C2-3 ¾åήÀß·× (13:30-14:45)
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Âê̾Asynchronous Datapath Synthesis Based on Binding Space Exploration
Ãø¼Ô ¡ûKoji Ohashi, Mineo Kaneko(Japan Advanced Institute of Science and Technology)
pagespp. 549 - 554
keywords asynchronous system, schedule, datapath synthesis
abstract This paper treats scheduling and datapath synthesis for asynchronous systems. Especially we introduce scheduling under a specified assignment of operation to functional unit and data to register for asynchronous systems, and incorporate it into Simulated Annealing exploration of assignment solution space. By our method, more aggressive register sharing is allowed than conventional method does. As a result, it provides us a larger solution space for optimizing area--time tradeoff.

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Ãø¼Ô ¡ûÃÝÃæ ¿ò, ¸þ»³ µ±, ¼ãÎÓ °ìÉÒ(ÆüËÜÅŵ¤), ÃæÅľ¡, Á°Àî ¹¸, »³ºÝ È¥(ËÌΦÆüËÜÅŵ¤¥½¥Õ¥È¥¦¥§¥¢)
pagespp. 555 - 560
keywords ·Á¼°¸¡¾Ú, Åù²Á¸¡¾Ú, Æ°ºî¹çÀ®
abstract ËÜÏÀʸ¤Ç¤Ï¡¤Æ°ºî¹çÀ®Á°¸å¤ÎÆ°ºîµ­½Ò¤ÈRTLµ­½Ò¤ËÂФ·¤Æ¡¢¤½¤ÎÅù²ÁÀ­¤ò·Á¼° Ū¤Ë¸¡¾Ú¤¹¤ë¼êË¡¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë¡¥ËÜÏÀʸ¤Ç½Ò¤Ù¤ëÅù²Á¸¡¾ÚË¡¤Ï¡¤¤Þ¤º¡¤Æ°ºî µ­½Ò¡¤RTLµ­½Ò¤ò¤½¤ì¤¾¤ì EFSM ¤Ç¥â¥Ç¥ë²½¤¹¤ë¡¥¤Ä¤®¤Ë¡¢2¤Ä¤ÎEFSM¤ÎÂбþ´Ø ·¸¤òÆ°ºî¹çÀ®¥·¥¹¥Æ¥à¤è¤ê½ÐÎϤµ¤»¤ë¡¥¥ï¡¼¥É¥ì¥Ù¥ë¥·¥ó¥Ü¥ë¥·¥ß¥å¥ì¡¼¥·¥ç ¥ó¤Ç¤½¤ì¤¾¤ì¤ÎÆ°ºîÆâÍƤòÃê½Ð¤·¡¤ÏÀÍýÅù²ÁÀ­È½Äꥨ¥ó¥¸¥ó¤ÇÆ°ºîÆâÍƤ¬Åù²Á ¤Ç¤¢¤ë¤³¤È¤ò³Î¤á¤ë¡¥¼ÂºÝ¤Ë¡¤ÊÀ¼Ò¤Ç³«È¯¡¤±¿ÍѤ·¤Æ¤¤¤ëÆ°ºî¹çÀ®¥·¥¹¥Æ¥à¸þ¤±¤ËÅù²Á¸¡¾Ú¥· ¥¹¥Æ¥à¤ò³«È¯¤·¤¿¡¥

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Ãø¼Ô Ë̸ý ÃÒ, ¡ûëËÜ ¶©Î¼, ÃæÅÄ ÌÀÉ×, ÅìÌî µ±É×(ÂçºåÂç³ØÂç³Ø±¡¾ðÊó²Ê³Ø¸¦µæ²Ê)
pagespp. 561 - 566
keywords ¥Ð¥¹¥·¥¹¥Æ¥à, À­Ç½²òÀÏ, Àß·×ÊýË¡ÏÀ, ¥Ð¥¹Ä´ÄäÊý¿Ë, ºÇŬ²½
abstract ¥·¥¹¥Æ¥àLSI¤ÎÀ߷פˤª¤¤¤Æ¤Ï¡¤¥ê¥¢¥ë¥¿¥¤¥àÀ©Ìó¤òËþ¤¿¤¹ ¥Ð¥¹¥·¥¹¥Æ¥à¤ÎÀ߷פ¬¤Þ¤¹¤Þ¤¹½ÅÍפˤʤäƤ­¤Æ¤¤¤ë¡¥ ¥·¥¹¥Æ¥à¸À¸ì¤ÎÄó°Æ¤Ê¤É¤Ë¤è¤ê¥Ð¥¹¥·¥¹¥Æ¥à¤òľÀܵ­½Ò¤· ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤ÆÀ­Ç½²òÀϤò¹Ô¤¦»ö¤¬²Äǽ¤È¤Ê¤Ã¤Æ¤­¤¿¤¬¡¤ À­Ç½¤òËþ¤¿¤µ¤Ê¤¤¾ì¹ç¡¤¥Ð¥¹¥È¥Ý¥í¥¸¡¼¡¤¥Ð¥¹Ä´ÄäÊý¿Ë¤ª¤è¤Ó ¥Ð¥¹¥¢¥¯¥»¥¹¥á¥½¥Ã¥É¤ä¥Ð¥¹¥×¥í¥È¥³¥ëÅù¡¤ÍÍ¡¹¤ÊÊѹ¹¤ò¹Ô¤Ã¤Æ¡¤ À­Ç½¤ò²þÁ±¤¹¤ëɬÍפ¬¤¢¤ë¡¥¤·¤«¤·¡¤¤½¤ì¤é¤ÎÊѹ¹¤ò¹Ô¤¦ÅÙ¤Ë ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¥â¥Ç¥ë¤ò¿Í¼ê¤Ç½¤Àµ¤¹¤ëɬÍפ¬¤¢¤ê¡¤¸úΨ¤¬ Èó¾ï¤Ë°­¤¤¡¥Ëܸ¦µæ¤Ç¤Ï¡¤¤½¤ì¤é¤ÎÊѹ¹¤òÍưײ½¤¹¤ëÀß·×ÊýË¡ÏÀ ¤òÄó°Æ¤¹¤ë¡¥¤Þ¤¿¡¤¤½¤ì¤é¤ÎÊѹ¹¤òÈ¿±Ç¤·¤¿¥·¥ß¥å¥ì¡¼¥·¥ç¥ó ¥³¡¼¥É¤Î¼«Æ°À¸À®¤ò¹Ô¤¦Àß·×»Ù±ç¥Ä¡¼¥ë¤Î³µÍפ䤽¤Î»ÈÍÑÎ㠤ˤĤ¤¤Æ½Ò¤Ù¤ë¡¥


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Ãø¼Ô ¡ûÅÚë μ, ¶¶ËÜ ¾»µ¹, ¾®Ìî»û ½¨½Ó(µþÅÔÂç³Ø)
pagespp. 567 - 572
keywords ÅÁÁ÷ÀþÏ©, ¥ê¥¿¡¼¥óÅÅή, ÇÈ·ÁÏĤß
abstract ËܹƤǤϡ¤¥ê¥¿¡¼¥óÅÅή¤ÎʬÉÛ¤¬¿®¹æÇÈ·Á¤ËµÚ¤Ü¤¹±Æ¶Á¤Ë¤Ä¤¤¤ÆµÄÏÀ¤¹¤ë¡¥ ½¾Í衤¥ª¥ó¥Á¥Ã¥×ÅÁÁ÷ÀþÏ©¤ÎµÄÏÀ¤Ç¤Ï ¿®¹æÇÛÀþ¤ËÎÙÀܤ¹¤ë¥°¥é¥¦¥ó¥ÉÇÛÀþ¤¬ÅÅή¥ê¥¿¡¼¥ó¥Ñ¥¹¤È²¾Äꤵ¤ì¤Æ¤­¤¿¡¥ ¤·¤«¤·¡¤¼ÂºÝ¤Ë¤Ï¿®¹æÇÛÀþ¤«¤éÎ¥¤ì¤¿¥°¥é¥¦¥ó¥ÉÇÛÀþ¤ä ¿®¹æÇÛÀþ¤Î²¼Áؤˤ¢¤ë¥°¥é¥¦¥ó¥ÉÇÛÀþ¤Ë¤â¥ê¥¿¡¼¥óÅÅή¤¬Î®¤ì¤ë¡¥ ¥ê¥¿¡¼¥óÅÅή¤ÎʬÉۤϼþÇÈ¿ô¤Ë°Í¸¤¹¤ë¤¿¤á¡¤¥ê¥¿¡¼¥ó¥Ñ¥¹¤ò´Þ¤á¤¿ ¥ë¡¼¥×Äñ¹³¡¦¥ë¡¼¥×¥¤¥ó¥À¥¯¥¿¥ó¥¹¤¬¼þÇÈ¿ô°Í¸À­¤ò»ý¤Ä¡¥ ËܹƤǤϥ꥿¡¼¥óÅÅήʬÉۤ˵¯°ø¤¹¤ëÇÛÀþÆÃÀ­¤Î¼þÇÈ¿ô°Í¸À­¤¬ »þ´ÖÎΰè¤Î¿®¹æÇÈ·Á¤ËµÚ¤Ü¤¹±Æ¶Á¤Ë¤Ä¤¤¤ÆµÄÏÀ¤·¡¤ ¥ê¥¿¡¼¥óÅÅήʬÉÛ¤¬¿®¹æÇÈ·Á¤Ë¶¯¤¯±Æ¶Á¤¹¤ë¤³¤È¤ò¼¨¤¹¡¥ ¤Þ¤¿¡¤¥ê¥¿¡¼¥óÅÅήʬÉÛ¤ÎÅÀ¤«¤éÊ¿¹Õ(º¹Æ°)ÀþÏ©¤ÈÉÔÊ¿¹Õ(¥·¥ó¥°¥ë¥¨¥ó¥É)ÀþÏ©¤ÎÈæ³Ó¤ò¹Ô¤Ê¤¤¡¤ Ê¿¹ÕÀþÏ©¤ËÍ¥°ÌÀ­¤¬¤¢¤ë¤³¤È¤ò¼¨¤¹¡¥

Âê̾VLSI¤ÎÀ­Ç½¸þ¾å¤È°ÂÄêÆ°ºî¤Ë´óÍ¿¤¹¤ë¿·¤·¤¤ÅŸ»Ê¬ÇÛ²óÏ©µ»½Ñ
Ãø¼Ô ¡û±óÌð ¹°ÏÂ(ÆüËÜÅŵ¤¡Ê³ô¡ËÃæ±û¸¦µæ½ê À¸»ºµ»½Ñ¸¦µæ½ê)
pagespp. 573 - 578
keywords VLSIÀß·× , ÅŸ»Ê¬ÇÛ²óÏ©, ÅŸ»¥Ç¥«¥Ã¥×¥ê¥ó¥°, Åż§´³¾Ä
abstract VLSI¤ÎÀ­Ç½¸þ¾å¤È°ÂÄêÆ°ºî¤Ë¡¢ÅŸ»Ê¬ÇÛ²óÏ©¤¬Â礭¤¯±Æ¶Á¤¹¤ë¤³¤È¤ÏÎɤ¯ÃΤé¤ì¤Æ¤¤¤ë¤¬¡¢ÅŸ»Ê¬ÇÛ²óÏ©¤ò¤É¤Î¤è¤¦¤Ë¤·¤Æ²þÁ±¤¹¤Ù¤­¤«¤Ë¤Ä¤¤¤Æ¤Î¸¦µæÎã¤Ï¾¯¤Ê¤¤¡£ÅŸ»¥Ç¥«¥Ã¥×¥ê¥ó¥°¤ò¶¯²½¤¹¤ë¤ÈÅż§´³¾Ä¤¬ÍÞÀ©¤µ¤ì¤ë¤¬¡¢VLSI¤«¤é¸«¤¿ÅŸ»¥¤¥ó¥Ô¡¼¥À¥ó¥¹¤¬¹â¤¯¤Ê¤ë¤¿¤á¡¢Áí¹çŪ¤ËVLSI¤ÎÀ­Ç½¸þ¾å¤È°ÂÄêÆ°ºî¤ò²Äǽ¤È¤¹¤ëÅŸ»Ê¬ÇÛ²óÏ©¤ÎÀß·×Ë¡¤Ï̤²ò·è¤Î¤Þ¤Þ¤È¤Ê¤Ã¤Æ¤¤¤ë¡£ËÜÏÀʸ¤Ç¤Ï¡¢²æ¡¹¤¬³«È¯Ãæ¤ÎÄ㥤¥ó¥Ô¡¼¥À¥ó¥¹¤òÍ­¤¹¤ëÀþÏ©¹½Â¤ÁǻҡÊLILC: low impedance line structure component¡Ë¤òÅŸ»Ê¬ÇÛ²óÏ©¤Ë»ÈÍѤ¹¤ë¤³¤È¤¬¡¢VLSI¤ÎÀ­Ç½¤Î¸þ¾å¤ÈÆ°ºî¤Î°ÂÄê²½¤ËÈó¾ï¤Ë¸ú²ÌŪ¤Ç¤¢¤ë¤³¤È¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë


¥»¥Ã¥·¥ç¥ó C2-5 ¥Ï¡¼¥É¥¦¥§¥¢/¥½¥Õ¥È¥¦¥§¥¢¡¦¥³¥Ç¥¶¥¤¥ó (16:00-16:50)
ºÂĹ: °æ¾å ¾¼É§ (¾¾²¼ÅŴﻺ¶È)

Âê̾SIMD·¿¥×¥í¥»¥Ã¥µ¥³¥¢¸þ¤±HW/SWʬ³ä¤Ë¤ª¤±¤ëÆâÉô±é»»ÊÂÎóÅÙºÇŬ²½¼êË¡
Ãø¼Ô ¡ûÀîÄÅ ½¨¼ù, µÜ²¬ Í´°ìϺ(Áá°ðÅÄÂç³ØÍý¹©³ØÉô¥³¥ó¥Ô¥å¡¼¥¿¡¦¥Í¥Ã¥È¥ï¡¼¥¯¹©³Ø²Ê), ¸ÍÀî ˾(Ë̶彣»ÔΩÂç³Ø¹ñºÝ´Ä¶­¹©³ØÉô¾ðÊó¥á¥Ç¥£¥¢¹©³Ø²Ê), Ìøß· À¯À¸, ÂçÉí äÉ×(Áá°ðÅÄÂç³ØÍý¹©³ØÉô¥³¥ó¥Ô¥å¡¼¥¿¡¦¥Í¥Ã¥È¥ï¡¼¥¯¹©³Ø²Ê)
pagespp. 579 - 584
keywords HW/SW¶¨Ä´¹çÀ®, HW/SWʬ³ä, ÆâÉô±é»»ÊÂÎóÅÙ, SIMD·¿Ì¿Îá, SIMD·¿±é»»´ï
abstract ËܹƤǤϡ¤SIMD·¿¥×¥í¥»¥Ã¥µ¥³¥¢¸þ¤±HW/SWʬ³ä¤Ë¤ª¤±¤ëÆâÉô±é»»ÊÂÎóÅÙºÇŬ²½¼êË¡¤òÄó°Æ¤¹¤ë¡¥Î㤨¤Ð¡¤8¥Ó¥Ã¥È4ÊÂÎó±é»»¤ò1¥¹¥Æ¥Ã¥×¤Ç¼Â¹Ô¤·¤Æ¤¤¤¿SIMD·¿Ì¿Îá¤ò¡¤¤½¤ÎÌ¿Îá¤ò¼Â¹Ô¤·¤Æ¤¤¤¿±é»»´ï¤Î¹½À®¤ò8¥Ó¥Ã¥È2ÊÂÎó¤Î±é»»¤·¤«¤Ç¤­¤Ê¤¤¤è¤¦¤ËÊѹ¹¤·¡¤8¥Ó¥Ã¥È2ÊÂÎó±é»»¤ò2¥¹¥Æ¥Ã¥×¼Â¹Ô¤¹¤ë¤è¤¦¤ËÌ¿Îá¤òÊÑ´¹¤¹¤ë¡¥¤³¤ì¤Ë¤è¤ê¥¢¥×¥ê¥±¡¼¥·¥ç¥ó¼Â¹Ô»þ´Ö¤ÏÁý²Ã¤·¤Æ¤·¤Þ¤¦¤¬¡¤±é»»´ï¤ÎÌÌÀѤò¸º¾¯¤¹¤ë¤³¤È¤¬¤Ç¤­¡¤¥×¥í¥»¥Ã¥µ¥³¥¢¤ÎÌÌÀѤò¸º¾¯¤µ¤»¤ë¤³¤È¤¬²Äǽ¤È¤Ê¤ë¡¥Äó°Æ¼êË¡¤Ç¤Ï¤³¤Î¤è¤¦¤Ê½èÍý¤ò»þ´ÖÀ©Ìó¤òËþ¤¿¤¹´Ö·«¤êÊÖ¤·¼Â¹Ô¤¹¤ë¤³¤È¤Ë¤è¤ê¡¤¥×¥í¥»¥Ã¥µ¥³¥¢¤ÎÌÌÀѤòºï¸º¤¹¤ë¼êË¡¤Ç¤¢¤ë¡¥·×»»µ¡¼Â¸³¤Ë¤è¤êÄó°Æ¼êË¡¤òɾ²Á¤··ë²Ì¤òÊó¹ð¤¹¤ë¡¥

Âê̾RTOS-Centric Hardware/Software Cosimulator
Ãø¼Ô Shinya Honda, Takayuki Wakabayashi(Toyohashi University of Technology), ¡ûHiroyuki Tomiyama, Hiroaki Takada(Nagoya University)
pagespp. 585 - 590
keywords Cosimulation, Real-Time Operating Systems, Embedded Systems
abstract This paper presents an RTOS-centric cosimulator which we have developed for embedded system design. One of the most remarkable features in our cosimulator is that it has a complete simulation model of an RTOS which is widely used in industry, so that application tasks including RTOS service calls are natively executed on a host computer. Our cosimulator also features cosimulation with functional simulation models of hardware written in C/C++ and cosimulation with HDL simulators. A case study with a JPEG decoder application demonstrates the effectiveness of our cosimulator.


¥»¥Ã¥·¥ç¥ó D2-1 [An/Dʬ²Ê²ñ¹çƱÆÃÊÌ¥»¥Ã¥·¥ç¥ó]¥Ï¥¤¥Ö¥ê¥Ã¥È¥·¥¹¥Æ¥à¥â¥Ç¥ë¤òÍѤ¤¤¿¥·¥¹¥Æ¥à²òÀÏ (8:30-10:35)
ºÂĹ: Ĭ ½Ó¸÷ (ÂçºåÂç³Ø)

Âê̾¥Þ¥ë¥Á¥¨¡¼¥¸¥§¥ó¥È¥Í¥Ã¥È¤Ë¤è¤ë¥â¥¸¥å¥é¡¼¤Ê¥Ï¥¤¥Ö¥ê¥Ã¥É¥À¥¤¥Ê¥ß¥«¥ë¥·¥¹¥Æ¥à¤Î¥·¥ß¥å¥ì¡¼¥·¥ç¥ó
Ãø¼Ô ¡ûµÜËÜ ½Ó¹¬, ·§Ã« Äç½Ó(ÂçºåÂç³Ø Âç³Ø±¡¹©³Ø¸¦µæ²Ê Åŵ¤¹©³ØÀ칶)
pagespp. 591 - 596
keywords ¥Ï¥¤¥Ö¥ê¥Ã¥É¥À¥¤¥Ê¥ß¥«¥ë¥·¥¹¥Æ¥à, ¥Ú¥È¥ê¥Í¥Ã¥È
abstract ¥Ú¥È¥ê¥Í¥Ã¥È¤ÏÈóƱ´üʹԥ·¥¹¥Æ¥à¤Îµ­½Ò¸À¸ì¤È¤·¤ÆÃΤé¤ì¤Æ¤¤¤ë¡¥Ä̾ï¤Î¥× ¥ì¡¼¥¹¡¿¥È¥é¥ó¥¸¥·¥ç¥ó¥Í¥Ã¥È¤Ç¤Ï¤½¤Îµ­½ÒǽÎϤÎÄ㤵¤«¤éÍÍ¡¹¤Ê³ÈÄ¥¤¬¤³¤ì ¤Þ¤Ç¤Ê¤µ¤ì¤Æ¤¤¤ë¡¥³ÈÄ¥¥Ú¥È¥ê¥Í¥Ã¥È¤ÎÂåɽÎã¤È¤·¤Æ¿§Éեڥȥê¥Í¥Ã¥È(°Ê¹ß CPN)¤¬¤¢¤ë¡¥CPN¤Ç¤Ï¥È¡¼¥¯¥ó¤Ë°À­¤ò»ý¤¿¤»¤ë¤³¤È¤òµö¤¹¤³¤È¤Ë¤è¤ê¡¤µ­½Ò ǽÎϤò¹â¤á¤Æ¤¤¤ë¡¥ ²æ¡¹¤ÏCPN¤ò¤µ¤é¤Ë³ÈÄ¥¤·¤¿¥Þ¥ë¥Á¥¨¡¼¥¸¥§¥ó¥È¥Í¥Ã¥È(°Ê¹ß MAN)¤òÄó°Æ¤·¡¤ MAN¤Î¼Â¹Ô´Ä¶­¤Î³«È¯¤ò¹Ô¤Ã¤Æ¤­¤¿¡¥¥Ú¥È¥ê¥Í¥Ã¥È¤«¤éCPN¤Ø¤Î³ÈÄ¥¤¬¥È¡¼¥¯¥ó ¤ËÂФ·¤Æ¿§¤òÉÕ¤±¤ë¤³¤È¤Ë¤¢¤ë¤È¤¹¤ë¤È¡¤CPN¤«¤éMAN¤Ø¤Î³ÈÄ¥¤Ï¡¤¥Í¥Ã¥È¼«ÂÎ ¤â¿§¤ò»ý¤Ä¤³¤È¤Ë¤¢¤ë¡¥¥Í¥Ã¥È¤¬¿§¤ò»ý¤Ä¤È¤¹¤ë¤È¡¤¥Í¥Ã¥È¤È¥È¡¼¥¯¥ó¤ò¶¦¤Ë ¥ª¥Ö¥¸¥§¥¯¥È¤È¸«¤Ê¤¹¤³¤È¤¬¤Ç¤­¡¤¤¢¤ë¥Í¥Ã¥ÈÃæ¤Î¥È¡¼¥¯¥ó¤¬Ê̤ΥͥåȤǤ¢ ¤ë¤è¤¦¤Êɽ¸½¤¬²Äǽ¤È¤Ê¤ë¡¥ MAN¤Ç¥â¥Ç¥ë²½¤µ¤ì¤¿¥·¥¹¥Æ¥à¤ò¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤¹¤ë¤¿¤á¤Î¼Â¹Ô´Ä¶­¤È¤·¤Æ¡¤ ¤³¤ì¤Þ¤Ç¤ËJava¸À¸ì¤Î¥¯¥é¥¹¥é¥¤¥Ö¥é¥ê¤È¥Í¥Ã¥È¥¨¥Ç¥£¥¿¤òºîÀ®¤·¤Æ¤¤¤ë¡¥¥¯ ¥é¥¹¥é¥¤¥Ö¥é¥ê¤Ç¤Ï¡¤¥¬¡¼¥É¤È¸Æ¤Ð¤ì¤ë¥È¥é¥ó¥¸¥·¥ç¥ó¤Îȯ²Ð¾ò·ï¤ä¡¤¥¢¥¯¥·¥ç ¥ó¤È¸Æ¤Ð¤ì¤ë¥È¥é¥ó¥¸¥·¥ç¥ó¤Îȯ²Ð»þ¤Ë¼Â¹Ô¤µ¤ì¤ë¼ê³¤­¤ò¥È¥é¥ó¥¸¥·¥ç¥ó¤Ë Éղ乤뤳¤È¤ò¥µ¥Ý¡¼¥È¤·¤Æ¤ª¤ê¡¤Ê£»¨¤Ê¥·¥¹¥Æ¥à¤ÎµóÆ°¤âµ­½Ò¤¹¤ë¤³¤È¤¬¤Ç ¤­¤ë¡¥ °ìÊý¡¤¶áǯΥ»¶»ö¾Ý¥·¥¹¥Æ¥à¤ÈϢ³ÊÑ¿ô¥·¥¹¥Æ¥à¤¬º®ºß¤¹¤ë¥·¥¹¥Æ¥à¤Î²òÀÏ¡¦ À߷ס¦À©¸æ¤¬ÃíÌܤµ¤ì¤Æ¤¤¤ë¡¥°ìÈ̤ˡ¤Î¥»¶ÊÑ¿ô¤ÈϢ³ÊÑ¿ô¤¬º®ºß¤¹¤ë¥·¥¹¥Æ ¥à¤Ï¥Ï¥¤¥Ö¥ê¥Ã¥É¥À¥¤¥Ê¥ß¥«¥ë¥·¥¹¥Æ¥à(°Ê¹ß HDS)¤È¸Æ¤Ð¤ì¤ë¡¥HDS¤Îµ­½Ò¸À ¸ì¤È¤·¤Æ¥Ï¥¤¥Ö¥ê¥Ã¥É¥Ú¥È¥ê¥Í¥Ã¥È(°Ê¹ß HPN)¤¬¤¢¤ë¡¥½¾Íè¤Î¥Ú¥È¥ê¥Í¥Ã¥È¤Ç ¤Ï¤½¤Î¾õÂÖ¤òɽ¤¹¥È¡¼¥¯¥ó¤Î¸Ä¿ô¤¬ÈóÉéÀ°¿ôÃͤò¤È¤ê¡¤¥È¥é¥ó¥¸¥·¥ç¥ó¤Îȯ²Ð ¤¬°ì½Ö¤Ëµ¯¤ë¤È¤¤¤¦Á°Ä󤬤¢¤Ã¤¿¡¥ÈóÉé¼Â¿ô¤Î¥È¡¼¥¯¥ó¤ÈϢ³Ū¤Ëȯ²Ð¤¹¤ë¥È ¥é¥ó¥¸¥·¥ç¥ó¤òƳÆþ¤·¤¿¤Î¤¬HPN¤Ç¤¢¤ë¡¥ Â絬ÌÏ¥·¥¹¥Æ¥à¤ÎÀ߷פò¹Í¤¨¤ë¾ì¹ç¡¤¥·¥¹¥Æ¥àÁ´ÂΤò°ì¤Ä¤Î¥â¥Ç¥ë¤Çµ­½Ò¤¹¤ë ¤Î¤Ç¤Ï¤Ê¤¯¡¤¥â¥¸¥å¡¼¥ë¤Ëʬ³ä¤·¡¤¥â¥¸¥å¡¼¥ëËè¤Ëµ­½Ò¤¹¤ëÊý¤¬»ñ¸»¤ÎºÆÍøÍÑ¡¤ À߷פδÊñ²½¤ÎÅÀ¤ÇÍ­Íø¤Ç¤¢¤ë¡¥MAN¤ÏÊ£¿ô¤Î¥¨¡¼¥¸¥§¥ó¥È¥Í¥Ã¥È¤ÎÁȹç¤ï¤» ¤Ë¤è¤ê¥·¥¹¥Æ¥àÁ´ÂΤò¹½À®¤¹¤ë¼êË¡¤òÄ󶡤·¤Æ¤¤¤ë¤¿¤á¥â¥¸¥å¥é¡¼¤Ê¥·¥¹¥Æ¥à ¤Îµ­½Ò¤Ë¤ª¤¤¤ÆÍ­¸ú¤Ç¤¢¤ë¤È¹Í¤¨¤é¤ì¤ë¡¥¤Þ¤¿¡¤³¬Áع½Â¤¤òÍѤ¤¤ÆÀ©¸æ¥·¥¹¥Æ ¥à¤ÎÀ©¸æ´ï¤ÈÀ©¸æÂоݤòÊÌ¡¹¤Ë¥â¥Ç¥ë²½¡¦ÁȤ߹ç¤ï¤»¤ë¤³¤È¤¬²Äǽ¤Ç¤¢¤ë¡¥¤½ ¤³¤ÇËܹƤǤϡ¤MAN¤Ë¤è¤êHPN¤òÌÏÊ魯¤ëÊýË¡¤òÄó°Æ¤¹¤ë¡¥¤½¤·¤Æ¡¢¸òÄÌ¿®¹æÌÖ ¤ÎÀ©¸æ¤òÎã¤Ë¤È¤ê¥â¥¸¥å¥é¡¼¤ÊHDS¤ÎMAN¤Ë¤è¤ë¼Â¸½Îã¤ò¼¨¤¹¡¥

Âê̾À©ÌóÏÀÍý¥×¥í¥°¥é¥ß¥ó¥°¤Ë¤è¤ë¥Ï¥¤¥Ö¥ê¥Ã¥É¥·¥¹¥Æ¥à¤Î¥Ñ¥é¥á¡¼¥¿Àß·×
Ãø¼Ô ¡ûÊ¿ÀРˮɧ, ÀÐÀî Îé(ËÌΦÀèü²Ê³Øµ»½ÑÂç³Ø±¡Âç³Ø ¾ðÊó²Ê³Ø¸¦µæ²Ê)
pagespp. 597 - 602
keywords ¥Ï¥¤¥Ö¥ê¥Ã¥É¥·¥¹¥Æ¥à, ¥Ñ¥é¥á¡¼¥¿Àß·×, À©ÌóÏÀÍý¥×¥í¥°¥é¥ß¥ó¥°
abstract Ëܸ¦µæ¤Ç¤Ï¡¤¥Ï¥¤¥Ö¥ê¥Ã¥É¥·¥¹¥Æ¥à¤Ë¤ª¤±¤ë¥Ñ¥é¥á¡¼¥¿Àß·×ÌäÂê¤ò¡¤Ï¢Â³¤ª¤è¤ÓÎ¥»¶ÊÑ¿ô¾å¤ÎÀ©Ìó¾ò·ï¤ò½Ò¸ì¤È¤¹¤ë°ì³¬½Ò¸ìÏÀÍý¼°¤ò¿¿¤Ë¤¹¤ëÊÑ¿ô¤ÎÃͤò·èÄꤹ¤ëÌäÂê¤È¤·¤ÆÄê¼°²½¤¹¤ë¡¥¤½¤·¤Æ¡¤ÏÀÍýŪÀ©Ìó¤È¿ôÃÍŪÀ©Ìó¤ÎξÊý¤ò¤â¤Ä¤è¤¦¤ÊÀ©Ìó½¼Â­ÌäÂê¤ò²ò¤¯¤¿¤á¤Î½èÍý·Ï¤Ç¤¢¤ëÀ©ÌóÏÀÍý¥×¥í¥°¥é¥ß¥ó¥°(CLP: Constraint Logic Programming)¤ËÃåÌܤ·¡¤¤½¤ì¤òÍѤ¤¤¿¥Ñ¥é¥á¡¼¥¿Àß·×ÌäÂê¤Î²òË¡¤òÄó°Æ¤¹¤ë¡¥¶ñÂÎŪ¤Ë¤Ï¡¤»þÁêÏÀÍý¼°¤Ë¤è¤êµ­½Ò¤µ¤ì¤¿¥·¥¹¥Æ¥à¤ÎÆ°ºî»ÅÍÍÍ¿¤¨¤¿¤È¤­¡¤¤½¤ì¤òËþ¤¿¤¹¤è¤¦¤Ê¥Ñ¥é¥á¡¼¥¿¤ÎÃͤò£Ã£Ì£Ð¤Ë¤è¤ê·×»»¤¹¤ëÊýË¡¤òÄó°Æ¤¹¤ë¡¥

Âê̾Sensor Parameter Optimization for PLC Based Control Systems
Ãø¼Ô ¡ûEiji Konaka, Takashi Mutou, Tatsuya Suzuki, Shigeru Okuma(Nagoya University)
pagespp. 603 - 608
keywords Programmable Logic Controller, Hybrid Dynamical System, Parameter Optimization
abstract Programmable Logic Controller (PLC) has been widely used in the industrial control as the controller for the manufacturing system, process control, and so on. This paper firstly presents the formal algebraic model of the PLC-based control systems which enable the designer to formulate the various kinds of optimization problem. Secondly, the optimization problem of the `sensor parameters', such as the location of the limit switch in the material handling system, is addressed. We formulate this problem by extending the proposed algebraic form with regarding the sensor parameters as `constant states', and by transforming the extended model into the Mixed Logical Dynamical Systems (MLDS) form. This formulation enables us to optimize the sensor parameters by applying the Mixed Integer Programming.

Âê̾MLD¥·¥¹¥Æ¥à¤òÍѤ¤¤¿°äÅÁ»Ò¥Í¥Ã¥È¥ï¡¼¥¯¤ÎÁê¸ßºîÍÑ¿äÄê¤ÈÀ©¸æ
Ãø¼Ô ¡ûÃ滳 ±ÑÀ¸, ÅÄÃæ ´²¿Í, Ĭ ½Ó¸÷(ÂçºåÂç³ØÂç³Ø±¡´ðÁù©³Ø¸¦µæ²Ê)
pagespp. 609 - 614
keywords MLD¥·¥¹¥Æ¥à, ¥Ï¥¤¥Ö¥ê¥Ã¥É¥À¥¤¥Ê¥ß¥«¥ë¥·¥¹¥Æ¥à, °äÅÁ»Ò¥Í¥Ã¥È¥ï¡¼¥¯, Ϣ³»þ´Ö¥¹¥¤¥Ã¥Á¥ó¥°¥Í¥Ã¥È¥ï¡¼¥¯, Áê¸ßºîÍÑ¿äÄê
abstract ËÜÊó¹ð¤Ç¤Ï°äÅÁ»Ò¥Í¥Ã¥È¥ï¡¼¥¯¤Î¥â¥Ç¥ë¤Î1¤Ä¤Ç¤¢¤ëϢ³»þ´Ö¥¹¥¤¥Ã¥Á¥ó¥°¥Í¥Ã¥È¥ï¡¼¥¯¥â¥Ç¥ë¤òÂоݤȤ¹¤ë¡¥¤³¤Î¥â¥Ç¥ë¤Ï¶èʬÀþ·Á¥â¥Ç¥ë¤Ç¤¢¤ê¡¤¥Ï¥¤¥Ö¥ê¥Ã¥É¥À¥¤¥Ê¥ß¥«¥ë¥·¥¹¥Æ¥à¤È¤·¤Æ¤Î¼è¤ê°·¤¤¤¬²Äǽ¤Ç¤¢¤ë¡¥¤Þ¤¿¡¤¥Ï¥¤¥Ö¥ê¥Ã¥É¥À¥¤¥Ê¥ß¥«¥ë¥·¥¹¥Æ¥à¤Î¤¢¤ë¥¯¥é¥¹¤òɽ¸½¤Ç¤­¤ë¤â¤Î¤È¤·¤Æ¡¤Bemporad ¤È Morari ¤Ë¤è¤Ã¤ÆÄó°Æ¤µ¤ì¤¿º®¹çÏÀÍýưŪ(MLD)¥·¥¹¥Æ¥à¤¬¤¢¤ë¡¥ËÜÊó¹ð¤Ç¤ÏϢ³»þ´Ö¥¹¥¤¥Ã¥Á¥ó¥°¥Í¥Ã¥È¥ï¡¼¥¯¤ËÂФ·¤Æ¡¤¤³¤ÎMLD¥·¥¹¥Æ¥à¤òŬÍѤ·¡¤°äÅÁ»Ò´Ö¤ÎÁê¸ßºîÍÑ¿äÄêÌäÂê¤ä¡¤¿Í¹©Åª¤Ë°äÅÁ»Ò¤òÉղä·¤¿¾ì¹ç¤ÎÀ©¸æÌäÂê¤Ë¤Ä¤¤¤Æ¹Í»¡¤¹¤ë¡¥

Âê̾A Homotopy Method Using Nonlinear Auxiliary Function
Ãø¼Ô Yasuaki Inoue(Waseda University), ¡ûYu Imai, Makoto Ando, Kiyotaka Yamamura(Chuo University)
pagespp. 615 - 620
keywords circuit simulation, homotopy method, homotopy function, auxiliary function, nonlinear function
abstract Finding DC operating points of transistor circuits is a very important and difficult task. For efficiency of globally convergent homotopy methods, it is important to construct an appropriate homotopy function. In conventional homotopy methods, linear auxiliary functions have been commonly used. In this paper, a homotopy method using some nonlinear auxiliary function is proposed. The proposed method utilizes a nonlinear function closely related to circuit equations to be solved, so that it efficiently finds DC operating points of practical transistor circuits. Numerical examples show the effectiveness of the proposed algorithm.


¥»¥Ã¥·¥ç¥ó D2-2 Î¥»¶ºÇŬ²½ (10:50-11:40)
ºÂĹ: Ã滳 ¿µ°ì (ÆÁÅçÂç³Ø Áí¹ç²Ê³ØÉô ¼«Á³¥·¥¹¥Æ¥à³Ø²Ê ¿ôÍý²Ê³Ø)

Âê̾ÊФ俽é´ü½¸ÃÄÀ¸À®¤Ë¤è¤ëÊÂÎóʬ»¶°äÅÁ¥¢¥ë¥´¥ê¥º¥à¤Îõº÷¶õ´Ö³äÅö
Ãø¼Ô »³¾ë À®É§, ¡û̾²Å¼ À¹ÏÂ, Yiyuan Gong(ΰµåÂç³Ø¹©³ØÉô¾ðÊ󹩳زÊ), ²§Ä¹ ·ò¼£(¥Ç¥¸¥¿¥ë¼Ò²ñÁí¹ç¸¦µæ½ê)
pagespp. 621 - 626
keywords ÊÂÎóʬ»¶°äÅÁ¥¢¥ë¥´¥ê¥º¥à, õº÷ÍúÎò, ½é´ü½¸ÃÄ
abstract ËÜÏÀʸ¤Ç¤Ï¡¤Â絬ÌÏÁȹ礻ºÇŬ²½ÌäÂê¤ò¸úΨÎɤ¯²ò¤¯¤¿¤á¤Ë¡¤Ãµº÷ÍúÎò¤Ë´ð¤Å¤¯½é´ü½¸ÃÄÀ¸À®Ë¡¤òÍѤ¤¤¿ÊÂÎóʬ»¶°äÅÁ¥¢¥ë¥´¥ê¥º¥à¤òÄó°Æ¤¹¤ë¡¥Äó°Æ¼êË¡¤Ï¥Þ¥¹¥¿¡¼¥¹¥ì¡¼¥ÖÊý¼°¤Ç¡¢¥Þ¥¹¥¿¡¼¥Î¡¼¥É¤Ç¥¹¥ì¡¼¥Ö¥Î¡¼¥É¤Îõº÷ÍúÎò¤ò´ÉÍý¤¹¤ë¤³¤È¤Ç¡¤¥¹¥ì¡¼¥Ö¥Î¡¼¥É¤ÎºÆ¥¹¥¿¡¼¥È»þ¤Ë¤ª¤±¤ë½é´ü½¸ÃĤò¸úΨÎɤ¯³ä¤êÅö¤Æ¤ë¤³¤È¤¬¤Ç¤­¤ë¡¥¤³¤ì¤Ë¤è¤ê¡¤Ãµº÷¤ÎÅö½é¤ÏÁ´¥Î¡¼¥É¤Ç¤Ç¤­¤ë¤À¤±Éý¹­¤¯Ãµº÷¤¹¤ë¤³¤È¤ò»î¤ß¡¤Ãµº÷¤¬¿Ê¤à¤È¡¤Èæ³ÓŪÎɼÁ¤Î¶õ´Ö¤òÊ£¿ô¤Î¥Î¡¼¥É¤Çõº÷¤¹¤ë¤³¤È¤¬²Äǽ¤È¤Ê¤ë¡¥

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Ãø¼Ô ¡ûȾÅÄ ·Ã°ì, ÅÄÃæ ½ÓÌÀ(¡Ê³ô¡ËÅì¼Ç ¸¦µæ³«È¯¥»¥ó¥¿¡¼)
pagespp. 627 - 632
keywords ·Ðϩõº÷, ºÇû¥Ñ¥¹, ¾è¤ê´¹¤¨°ÆÆâ
abstract Åż֤äÈô¹Ôµ¡Åù¤Î¾è¤ê´¹¤¨°ÆÆ⥵¡¼¥Ó¥¹¤Ë¤ª¤±¤ë·Ðϩõº÷¤Ë¤Ï¼ÂÍÑ ¾å¤ÎÍÍ¡¹¤ÊÀ©Ìó¾ò·ï¤¬È¼¤¦¡£¤Þ¤¿·ÐÏ©¤ÎÎɤµ¤Ë¤â¡¢½êÍ×»þ´Ö¡¢¾è¤ê ´¹¤¨²ó¿ô¡¢ÎÁ¶â¤Ê¤É¥æ¡¼¥¶¤äÍøÍÑÌÜŪ¤Ë¤è¤Ã¤ÆÍÍ¡¹¤Êɾ²Á´ð½à¤¬¤¢ ¤ë¡£¤³¤ì¤é¤ÎÀ©Ìó¾ò·ï¤äɾ²Á´ð½à¤ò¹Íθ¤ËÆþ¤ì¡¢É®¼Ô¤é¤ÏÂè1¡ÁKºÇ û¥Ñ¥¹¤òµá¤á¤ë¥¢¥ë¥´¥ê¥º¥à¤ò¤â¤È¤Ë¿ÍͤÊÂåÂØ·ÐÏ©¤ò¹â®¤Ë¸¡º÷ ¤¹¤ë¥¨¥ó¥¸¥ó¤ò³«È¯¤·¤¿¡£Åö¥¨¥ó¥¸¥ó¤Ï·Ðϩõº÷¡¢»þ´Ö³äÅö¡¢ÎÁ¶â ·×»»¤È¤¤¤¦°ìÏ¢¤Îµ¡Ç½¤«¤é¤Ê¤ë¡£ËܹƤǤϤ½¤Î·Ðϩõº÷¼êË¡¤Ë¾ÇÅÀ ¤ò¹Ê¤ê¡¢¼ÂÍÑŪ¤Ê´ÑÅÀ¤«¤é·ÐÏ©¤Î¼Á¤ò¹â¤á¤ë¤¿¤á¤Ë¹Ô¤Ã¤¿¼ï¡¹¤Î¹© ÉפˤĤ¤¤Æ½Ò¤Ù¤ë¡£¤Þ¤¿¡¢¹â®²½¤Î¤¿¤á¤Î£±¼êË¡¤È¤·¤Æ¡¢¥¢¥¯¥»¥¹ ¥Ç¡¼¥¿¤ò³èÍѤ¹¤ëÊýË¡¤òÄó°Æ¤¹¤ë¡£


¥»¥Ã¥·¥ç¥ó D2-3 ¥°¥é¥Õ¡¦¥¢¥ë¥´¥ê¥º¥à (13:00-15:05)
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Ãø¼Ô ¡û»³ÅÄ ÉÒµ¬(ºë¶ÌÂç³Ø ¹©³ØÉô ¾ðÊó¥·¥¹¥Æ¥à¹©³Ø²Ê)
pagespp. 633 - 638
keywords ÂѸξ㥰¥é¥Õ, Í­¸þ¥Ñ¥¹, ¥á¥Ã¥·¥å, ¥¿¥ï¡¼¥°¥é¥Õ, Äê¿ô¼¡¿ô
abstract ¾®Ê¸¤Ç¤Ï¡¤Ç¤°Õ¤ÎÀµ¤ÎÀ°¿ôn,k¤ÈǤ°Õ¤ÎÀµ¿ô¦Å¤ËÂФ·¤Æ¡¤ Ǥ°Õ¤ÎkÅÀ¤ò¼è¤ê½ü¤¤¤¿»Ä¤ê¤Î¥°¥é¥Õ¤¬nÅÀ¤«¤éÀ®¤ëÍ­¸þ¥Ñ¥¹¤ò´Þ¤à¤è¤¦¤Ê n+O(k1+¦Å)ÅÀ¤«¤éÀ®¤ëÄê¿ô¼¡¿ô¤Î¥°¥é¥Õ¤¬¹½À®¤Ç¤­¤ë¤³¤È¤ò ¼¨¤¹¡¥¤Þ¤¿¡¤Ç¤°Õ¤ÎÀµ¤ÎÀ°¿ôn,k¤ÈǤ°Õ¤ÎÀµ¿ô¦Å¤ËÂФ·¤Æ¡¤ Ǥ°Õ¤ÎkÅÀ¤ò¼è¤ê½ü¤¤¤¿»Ä¤ê¤Î¥°¥é¥Õ¤¬nÅÀ¤«¤éÀ®¤ë2¼¡¸µÀµÊý¥á¥Ã¥·¥å¤ò ´Þ¤à¤è¤¦¤Ên+O(k2+¦Å)ÅÀ¤«¤éÀ®¤ëÄê¿ô¼¡¿ô¤Î¥°¥é¥Õ¤¬ ¹½À®¤Ç¤­¤ë¤³¤È¤â¼¨¤¹¡¥

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Ãø¼Ô ¡ûÊ¡²¬ ¹§¸ç(¹­ÅçÂç³Ø¹©³ØÉô ÂèÆóÎà), ´ÖÅç ÍøÌé(¹­Åç¹ñºÝÂç³Ø ¼Ò²ñ´Ä¶­²Ê³ØÉô ¾ðÊóÄÌ¿®³Ø²Ê), ÅIJ¬ ÃÒ»Ö, ÅÏîµ ÉÒÀµ(¹­ÅçÂç³ØÂç³Ø±¡ ¹©³Ø¸¦µæ²Ê)
pagespp. 639 - 644
keywords ¥°¥é¥Õ, ÊÕÉÕ²ÃÌäÂê, Àþ·Á»þ´Ö¥¢¥ë¥´¥ê¥º¥à, ¼¡¿ôÁý²ÃÀ©Ìó
abstract ¼¡¿ôÁý²Ã¤Ë¾å¸Â¤ò»ý¤Ä¾ì¹ç¤Î$k$ÅÀÏ¢·ë²½ÌäÂê($k$VCA-DC)¤Ï¼¡¤Î¤è¤¦¤ËÄêµÁ¤µ ¤ì¤ë: ¡Øñ½ã̵¸þ¥°¥é¥Õ$G=(V,E)$¤È$G$ ¤Î³ÆÅÀ$v \in V$¤Ë¤Ä¤¤¤Æ¼¡¿ôÁý²Ã¾å ¸Â$a(v;G)$¤¬Í¿¤¨¤é¤ì¤¿¤È¤­¤Ë, $G$¤Ë³ÆÅÀ¤Ç¤Î¼¡¿ôÁý²Ã¾å¸Â°Ê²¼¤ÎÊÕ½¸¹ç¤ò Éղä·¤Æ, 2ÅÀÏ¢·ë¥°¥é¥Õ¤ò¹½À®¤¹¤ë. ¤³¤Î¤È¤­, Éղ乤٤­ºÇ¾®ËÜ¿ô¤ÎÊÕ½¸ ¹ç¤òµá¤á¤è.¡ÙËܹƤǤÏ, ¼¡¿ôÁý²Ã¤Ë¾å¸Â¤ò»ý¤Ä¾ì¹ç¤Î2ÅÀÏ¢·ë²½ÌäÂê ($2$VCA-DC)¤Ë²ò¤¬Â¸ºß¤¹¤ë¤¿¤á¤ÎɬÍ×½½Ê¬¾ò·ï¤ÈÀþ·Á»þ´Ö²òË¡¤òÄó°Æ¤¹¤ë. ²ò¤¬Â¸ºß¤¹¤ë¾ì¹ç¤³¤ÎÊÕ¿ô¤Ï, $2$VCA¤Î²ò¤ÎÊÕ¿ô¤ÈƱ¤¸¤Ç¤¢¤ë¤³¤È¤â¼¨¤·¤¿.

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Ãø¼Ô ¡ûµÜÅÄ ·É»°, Áý»³ ÈË(Ë­¶¶µ»½Ñ²Ê³ØÂç³Ø / Ãμ±¾ðÊ󹩳طÏ), Ã滳 ¿µ°ì(ÆÁÅçÂç³Ø / Áí¹ç²Ê³ØÉô ¼«Á³¥·¥¹¥Æ¥à³Ø²Ê)
pagespp. 645 - 650
keywords NPº¤ÆñÀ­¤Î¾ÚÌÀ, ÀáÅÀ¥é¥ó¥­¥ó¥°, ¶á»÷Ψ, ¶á»÷¥¢¥ë¥´¥ê¥º¥à
abstract ºÇ¾®ÀáÅÀ¥é¥ó¥­¥ó¥°Á´°èÌÚÌäÂê¡ÊMVRST : minimum vertex ranking spanning tree problem¡Ë¤È¤Ï¡¤Í¿¤¨¤é¤ì¤¿¥°¥é¥ÕG¾å¤Ë¤ª¤¤¤Æ¡¤ÀáÅÀ¥é¥ó¥­¥ó¥°¤¬ºÇ¾®¤È¤Ê¤ëÁ´°èÌÚ¤òµá¤á¤ëÌäÂê¤Ç¤¢¤ë¡¥ ËÜÏÀʸ¤Ç¤Ï¡¤MVRST¤¬NPº¤Æñ¤Ç¤¢¤ë¤³¤È¤ò¼¨¤¹¤¿¤á¤Ë¡¤3¼¡¸µ¥Þ¥Ã¥Á¥ó¥°ÌäÂ꤬¡¤·èÄêÌäÂêÈǤÎMVRST¤Ø¿¹à¼°»þ´Öµ¢Ãå²Äǽ¤Ç¤¢¤ë¤³¤È¤ò¼¨¤¹¡¥¤½¤Î¸å¡¤MVRST¤Î¶á»÷¥¢¥ë¥´¥ê¥º¥à¤òÄó°Æ¤·¡¤¤½¤Î·×»»Î̤ȶá»÷Ψ¤ò¼¨¤¹¡¥

Âê̾Constant Time Generation of Set Partitions
Ãø¼Ô Shin-ichi Nakano, ¡ûShin-ichiro Kawano(Gunma University)
pagespp. 651 - 656
keywords enumeration, algorithm
abstract In this paper we give a simple algorithmto generate all partitionsof {1,2,...,n} into k non-empty subsets. The number of such partitions is known as the Stirling number of the second kind. The algorithm generates each partition in constant time without repetition. By choosing k=1,2,...,n we can also generate all partitions of {1,2,...,n} into subsets. The number of such partitions is known as the Bell number.

Âê̾Efficient Algorithms for Computation of Petri Net Invariants based on Siphon-Traps
Ãø¼Ô Akihiro Taguchi, ¡ûSatoshi Taoka, Toshimasa Watanabe(Graduate School of Engineering, Hiroshima University)
pagespp. 657 - 662
keywords Petri nets, P-invariants, minimal supports, siphon-straps, Fourier-Motzkin method
abstract In this paper, we propose an algorithm STFMN for computing minimal-support nonnegative integer invariants: it tries to decrease the number of such candidate vectors in order to overcome this deficiency, by restricting computation of invariants to siphon-traps. It is shown, through experimental results, that STFMN has high possibility of finding, if any, at least one more minimal-support nonnegative integer invariant then any existing algorithms.