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Æü»þ: 2010ǯ4·î19Æü(·î) 10:35-12:15
ºÂĹ: ¾å¼ê ÍÎ»Ò (University/ETH Zurich)

A1-2-1 (»þ´Ö: 10:35 - 11:25)
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Ãø¼Ô ¡û¿ÀÌî ·òºÈ, ¿ÊÆ£ ÂîÌé (ÆüËܹ©¶ÈÂç³Ø)
Pagepp. 1 - 6
Keyword PSO, ¸ÇÍ­ÃÍ, ¸º¿ê·¸¿ô, ºÇŬ²½ÌäÂê, Àµ½à·Á
AbstractºÇŬ²½ÌäÂê¤ò¤è¤ê¿×®¤Ë¶á»÷Ū¤Ë²ò¤¯¤¿¤á¤Î¼êË¡¤È¤·¤Æγ»Ò·²ºÇŬ²½Ë¡(PSO)¤¬ÃíÌܤò½¸¤á¤Æ¤¤¤ë¡£¤³¤Î¤è¤¦¤ÊPSO¤Ç¤Ï´·À­·¸¿ô¤Ê¤é¤Ó¤Ë²Ã®ÅÙ·¸¿ôÅù¤Î¥Ñ¥é¥á¡¼¥¿¤¬ºÇŬ²ò¤Îõº÷ǽÎϤËÈó¾ï¤Ë½ÅÍפʱƶÁ¤òÍ¿¤¨¤ë¤¬¡¢¥Ñ¥é¥á¡¼¥¿¤Î¤¦¤Á²Ã®ÅÙ·¸¿ô¤Ë¤Ï°ìÍÍÍð¿ô¤¬¾è¤¸¤é¤ì¤ë¤¿¤á¡¢PSO ¤Ï³ÎΨÏÀŪ¤ÊÆ°ºî¤ò¤¹¤ë¥·¥¹¥Æ¥à¤È¤ß¤Ê¤»¤ë¡£PSO¤ÎÆ°ºî¤Î¸·Ì©¤Ê²òÀϤò¹Ô¤¦¤¿¤á¡¢³ÎΨÏÀŪÍ×ÁǤò¼è¤ê½ü¤¤¤¿·èÄêÏÀŪPSO(D-PSO)¤¬Äó°Æ¡¢²òÀϤ¬¹Ô¤ï¤ì¤Æ¤¤¤ë¡£ËܹƤǤÏD-PSO¤Î¸ÇÍ­ÃͤËÃåÌܤ·¡¢ºÇŬ²òõº÷ǽÎϤȸÇÍ­Ãͤδط¸¤Ë¤Ä¤¤¤Æ¹Í¤¨¤ë¡£¹¹¤Ë¡¢¤è¤ê¸ÇÍ­ÃͤÎÀßÄ꤬ÍưפËÀßÄ꤬²Äǽ¤È¤Ê¤ëÀµ½à·Á·èÄêÏÀŪPSO(CD-PSO¤òÄó°Æ¤·¡¢CD-PSO¤ÎºÇŬ²ò¤Îõº÷ǽÎϤò¤¤¤¯¤Ä¤«¤Î¥Ù¥ó¥Á¥Þ¡¼¥¯´Ø¿ô¤òÍѤ¤¤Æ¿ôÃͼ¸³¤Ë¤è¤ë²òÀϤò¹Ô¤¦¡£¤½¤Î·ë²Ì¡¢´·À­·¸¿ô¤È²Ã®ÅÙ·¸¿ô¤Ë¤è¤Ã¤Æ·èÄꤵ¤ì¤ë¥·¥¹¥Æ¥à¤Î¸ÇÍ­Ãͤˤè¤ê¡¢CD-PSO¤Îõº÷ǽÎϤ¬ÊѲ½¤¹¤ë¤³¤È¤òÌÀ¤é¤«¤Ë¤·¡¢CD-PSO¤ÈD-PSO¤È¤Î°ã¤¤¤Ë´Ø¤·¤ÆµÄÏÀ¤¹¤ë¡£

A1-2-2 (»þ´Ö: 11:25 - 11:50)
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Pagepp. 7 - 10
Keyword ¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È, ³Ø½¬, °äÅÁŪ¥¢¥ë¥´¥ê¥º¥à
AbstractNÆþÎÏN½ÐÎϥХ¤¥Ê¥ê¡¼¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¤Î³Ø½¬Ë¡¤òÄó°Æ¤¹¤ë¡£ Ʊ³Ø½¬Ë¡¤Ï¡¢°äÅÁŪ¥¢¥ë¥´¥ê¥º¥à¤òÍѤ¤¡¢¤¢¤¤¤Þ¤¤¤µ¤òµöÍƤ·¡¢ ³Æ½ÐÎϤËÂбþ¤¹¤ëÃæ´ÖÁإ˥塼¥í¥ó¤òÍ­¸ú¤Ë¶¦Í­¤µ¤»¤ë¤â¤Î¤Ç¤¢¤ë¡£ ´ðËÜŪ¤Ê¿ôÃͼ¸³¤Ë¤è¤Ã¤Æ¡¢Ãæ´ÖÁإ˥塼¥í¥ó¿ô¤äõº÷²ó¿ô¤òÍÞÀ©Åù¤Î¡¢ Í­¸úÀ­¤ò³Îǧ¤¹¤ë¡£

A1-2-3 (»þ´Ö: 11:50 - 12:15)
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Pagepp. 11 - 16
Keyword ²»À¼¹çÀ®, RBF, ¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯
Abstract¿Í´Ö¤Î²»À¼¤ò¿Í¹©¹çÀ®¤¹¤ëÊýË¡¤Ï¡¢µ­Ï¿ÇÞÂΤ¬ÂçÍÆÎ̲½¡¢Äã²Á³Ê²½¤·¤Æ¤«¤é¡¢¼ÂÍÑŪ¤Ê¼êË¡¤Î¸¡Æ¤¤¬ÃíÌܤµ¤ì¤Ë¤¯¤¯¤Ê¤Ã¤Æ¤¤¤ë¡£¤·¤«¤·¡¢¸½ºß¼ÂÍѲ½¤µ¤ì¤Æ¤¤¤ë¼êË¡¤Ï¡¢´°Á´¤ÊÏ¿²»²»À¼¤«¡¢¿Í¸ý²»À¼¤ÎÈÏáƤò±Û¤¨¤Æ¤¤¤Ê¤¤¼«Á³À­¤Ë·ç¤±¤¿¤â¤Î¤Ç¤¢¤ë¡£ ¤·¤«¤â¡¢À¼ÂӤο¶Æ°¿ôÊѲ½¤Ë¤Ï¥«¥ª¥¹À­¤¬¤¢¤ë¤³¤È¤ÏÃΤé¤ì¤Æ¤¤¤ë¤¬¡¢¥«¥ª¥¹À­¤ò¹Íθ¤·¤¿À¼ÂÓÇȹçÀ®¤Ë´Ø¤¹¤ë¸¦µæ¤Ï³§Ìµ¤Ç¤¢¤ë¡£ Ëܸ¦µæ¤Ç¤Ï¡¢²»À¼¤¬´Þ¤àÈóÀþ·ÁÀ­¤Ë´ð¤Å¤¯¼þ´ü¤Î¥«¥ª¥¹Åª¤ÊÍɤ餮¤ä¡¢Ç´ËìÆÃÀ­ÅùÀþ·¿ÍýÏÀ¤Ç¤Ïɽ¸½¤·¤Ë¤¯¤¤Í×ÁǤò¤â¹Íθ¤·¤Æ²»À¼¹çÀ®¤ò¹Ô¤¦¤³¤È¤òÌÜŪ¤È¤·¡¢¿Í´Ö¤Î¼«Á³¤ÊǤ°Õ¤Î²»À¼¤ò¿Í¹©¹çÀ®¤¹¤ë¤³¤È¤òºÇ½ªÅª¤ÊÌÜɸ¤¹¤ë¡£¤½¤Î¤¿¤á¤Ë¡¢¥«¥ª¥¹¤Ê¤É¤ÎÈóÀþ·Á¼ÌÁü¤ÎºÆ¸½¤â²Äǽ¤ÊRBFN¡ÊÆ°·Â´ðÄì´Ø¿ô¥Í¥Ã¥È¥ï¡¼¥¯¡Ë¤Î±þÍѤò²»À¼¹çÀ®¤Ë»îÍѤ¹¤ë¡£ ¸¡Æ¤¤¹¤ë¥¹¥Æ¡¼¥¸¤Ï¡¢°Ê²¼¤Î£²¤Ä¤ËʬÎव¤ì¤ë¡£°ì¤Ä¤Ï¡¢»þ·ÏÎó¿®¹æ¤òľÀÜRBFN¤Ë¤è¤Ã¤Æ³Ø½¬¡¦¹çÀ®¤¹¤ëÊýË¡¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤·¤¿¡£ ¤â¤¦°ì¤Ä¤Ï¡¢Íɤ餮¤Î¤¢¤ëÀ¼ÂÓÇȼþ´ü¤ËƱ´ü¤·¤¿¥¤¥ó¥Ñ¥ë¥¹Îó¤òRBFN¤Ë¤è¤ê³Ø½¬¡¦¹çÀ®¤·¡¢¥¤¥ó¥Ñ¥ë¥¹±þÅú¤ò½Å¾ö¤·¹çÀ®¤¹¤ëÊýË¡¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤·¤¿¡£ ·ë²Ì¤È¤·¤Æ¤Ï¤É¤Á¤é¤ÎÊýË¡¤â¶¦¤Ë¡¢½é´üŪ¤Ë¤ÏÃé¼Â¤Ë·ÏÎó¤òÃé¼Â¤ËºÆ¸½²Äǽ¤Ç¤¢¤ë¤¬¡¢Ä¹´üŪ¤Ë¤ÏÄê¾ïŪ¤Ê¼þ´ü¥Ñ¥¿¡¼¥ó¤Î·«¤êÊÖ¤·¤Ë¤Ê¤Ã¤Æ¤·¤Þ¤¦¤³¤È¤¬¤ï¤«¤Ã¤¿¡£ ¤³¤ì¤Ï¡¢À¼ÂÓ¿¶Æ°¿ô¤ÎÊѲ½¤òºÆ¸½¤¹¤ë¤¿¤á¤Î¥À¥¤¥Ê¥ß¥¯¥¹¤ò³Ø½¬¤¹¤ë¤Ë¤Ï¡¢3ÁؤΥ˥塼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯¤Ç¤ÏÆñ¤·¤¤¤³¤È¤ò°Å¼¨¤·¤Æ¤¤¤ë¤â¤Î¤È¹Í¤¨¤ë¡£


¥»¥Ã¥·¥ç¥ó A1-3 ²óÏ©²òÀÏ
Æü»þ: 2010ǯ4·î19Æü(·î) 13:30-14:45
ºÂĹ: °æ¾å Ì÷½© (Áá°ðÅÄÂç³Ø Âç³Ø±¡¾ðÊóÀ¸»º¥·¥¹¥Æ¥à¸¦µæ½ê)

A1-3-1 (»þ´Ö: 13:30 - 13:55)
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Ãø¼Ô ¡ý¾åÅÄ ¶³Âç, Åļ ľÌé, »³Â¼ À¶Î´ (Ãæ±ûÂç³ØÍý¹©³ØÉôÅŵ¤ÅŻҾðÊóÄÌ¿®¹©³Ø²Ê)
Pagepp. 17 - 22
Keyword ÈóÀþ·Á²óÏ©, ²óÏ©¥·¥ß¥å¥ì¡¼¥·¥ç¥ó, ľήưºîÅÀ²òÀÏ, Á´²òõº÷, À°¿ô·×²èË¡
AbstractÈóÀþ·Á²óÏ©¤Î¤¹¤Ù¤Æ¤Îľή²ò¤òµá¤á¤ë¼ÂÍÑŪ¤Ê¥¢¥ë¥´¥ê¥º¥à¤ò³ÎΩ¤¹¤ë¤³¤È¤Ï¡¤½¸ÀѲóÏ©À߷פˤª¤±¤ë½ÅÍפʲÝÂê¤Î°ì¤Ä¤Ç¤¢¤ë¡¥¤³¤ÎÌäÂê¤ËÂФ·¤Æ¤Ï¿¤¯¤Î¸úΨŪ¤Ê¥¢¥ë¥´¥ê¥º¥à¤¬Äó°Æ¤µ¤ì¤Æ¤¤¤ë¤¬¡¤¤½¤ì¤é¤Ï¥¤¥ó¥×¥ê¥á¥ó¥Æ¡¼¥·¥ç¥ó¤ÎºÝ¤Ë¹âÅÙ¤ÊÀìÌçŪÃ챤ÈÊ£»¨¤Ê¥×¥í¥°¥é¥ß¥ó¥°¤òɬÍפȤ¹¤ë¤¿¤á¡¤½é¿´¼Ô¤äÈóÀìÌç²È¤Ë¤ÏÉßµï¤Î¹â¤¤ÊýË¡¤È¤Ê¤Ã¤Æ¤¤¤¿¡¥ËÜÏÀʸ¤Ç¤Ï¡¤¶áǯ¤ÎÀ°¿ô·×²èË¡¤Î¶Ã°ÛŪȯŸ¤òÇطʤˡ¤À°¿ô·×²èË¡¤Î¥½¥Õ¥È¥¦¥§¥¢¤òÍøÍѤ·¤¿¶èʬŪÀþ·Á²óÏ©¤Î¼Â¸½ÍưפÊÁ´²òõº÷Ë¡¤òÄó°Æ¤¹¤ë¡¥ËܼêË¡¤Ï¡¤¶èʬŪÀþ·Á²óÏ©¤òµ­½Ò¤¹¤ë¶èʬŪÀþ·ÁÊýÄø¼°¤òº®¹çÀ°¿ô·×²èÌäÂê¤ËÄê¼°²½¤·¡¤¤½¤ì¤ËGLPK, CPLEX¤È¤¤¤Ã¤¿Ìµ½þ¡¿¾¦ÍѤÎÍ¥¤ì¤¿À°¿ô·×²èË¡¤Î¥½¥Õ¥È¥¦¥§¥¢¤òŬÍѤ¹¤ë¤â¤Î¤Ç¤¢¤ë¡¥¤³¤Î¤è¤¦¤Ê¥¢¥×¥í¡¼¥Á¤Ï¶áǯ¤ÎÀ°¿ô·×²èË¡¤ÎÈôÌöŪȯŸ¤Ë¤è¤ê½é¤á¤Æ²Äǽ¤È¤Ê¤Ã¤¿¤â¤Î¤Ç¡¤½é¿´¼Ô¤Ç¤âÊ£»¨¤Ê¥×¥í¥°¥é¥à¤òºî¤ë¤³¤È¤Ê¤¯¡¤´Êñ¤ËÁ´²òõº÷¤ò¹Ô¤¦¤³¤È¤¬¤Ç¤­¤ë¡¥

A1-3-2 (»þ´Ö: 13:55 - 14:20)
Âê̾Conservation Operator in Micro-electromagnetic Field, and Its Macro-expression by the Optimum Approximation Aimed at Iterative Design of Nonlinear Composite Materials
Ãø¼Ô Yuichi Kida (The School of Pharmaceutical Sciences, Ohu University), ¡ûTakuro Kida (Prof. Emeritus of Tokyo Institute of Technology)
Pagepp. 23 - 28
Keyword Generalized conservation relation, Sensitivities based on the micro-expression of the Maxwell relations in an electromagnetic field, Nonlinear optics, CAD design, Nonlinear signal processing
AbstractGeneralized conservation relation of a lumped-constant network is proved by B.D.H.Tellegen and, T.Kida establishes a necessary and sufficient condition of conservation operator of multi-port networks. As an application of this operator, it is shown that sensitivity for an LC element with respect to amplitude and phase characteristic of a resistively terminated LC 2-port can be expressed by the stored energy of the element under the stationary sinusoidal excitation. This treatment of sensitivity has been extended to many types of conservation relations and analysis of parasitic effect by element deviation in systems. On the other hand, we present the optimum running approximation of a signal in a certain set of approximately band-limited signals and extend this approximation to the optimum interpolation approximation for multidimensional vector signals that all elements of the corresponding vector are separable-variable functions and, by putting variables of the vector signals to be identical with each other, we derive the optimum interpolation approximation of a system having non-linear characteristics. In appearance, it is considered that these two fields of research are not related each other. However, recently, composite linear and nonlinear materials have attracted much attention in many fields of optics, physics and engineering. Some of these realize up-conversion of razer waves by nonlinear optical characteristics of the materials and others achieve unprecedented physical properties such as negative refraction and functionality unattainable with natural materials. In the theoretical treatment of sensitivity and iterative CAD design of these new materials, it is necessary to establish the theory of conservation operators and sensitivities based on the micro-expression of the Maxwell relations in an electromagnetic field, as well as its extension to the macro-expression by means of the optimum approximation by interpolation using the observed sample values of the actual nonlinear physical quantities such as nonlinear polarization. We combine the above two concepts and present conservation operator in micro-electromagnetic field and its macro-expression by the optimum nonlinear approximation which are aimed at iterative design of linear and nonlinear materials.

A1-3-3 (»þ´Ö: 14:20 - 14:45)
Âê̾Circuit Analysis Technique Using Random Walk Method
Ãø¼Ô »°ÎØ ¿Î, ¡ûÎëÌÚ ¸ÞϺ (Ë̶彣»ÔΩÂç³Ø¾ðÊó¥á¥Ç¥£¥¢¹©³Ø²Ê)
Pagepp. 29 - 34
Keyword Monte Carlo, Markov chain, power grid, noise analysis, random walk
AbstractRandom walk method for power grid noise analysis, that treats lots of large valued decoupling capacitors and calculates voltage drops from VCC, has been existing. The computational complexity of this method is O(L2M), where L is the number of interconnects and M is the transient analysis elapsed time. Therefore, when we apply the existing technique to actual circuit, it becomes very time consuming. This paper proposes a novel technique which improve the computational complexity from O(L2M) to O(L). Basic idea is inversing the transient analysis timestep order from successor to predecessor that is backward direction. The CPU time using proposed technique can be 6 (%) and 12 (%) compared with existing technique and SPICE, respectively for one interconnect analysis.


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Æü»þ: 2010ǯ4·î19Æü(·î) 15:15-16:55
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A1-4-1 (»þ´Ö: 15:15 - 16:05)
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Ãø¼Ô ¡ûÅÚµï ¿­Æó (µþÅÔÂç³Ø)
Pagepp. 35 - 40
Keyword Hopfʬ´ô, ¥«¥ª¥¹, ´ËÏ¿¶Æ°, ¥Ë¥å¡¼¥í¥ó¥â¥Ç¥ë
Abstract¼«Á³³¦¤Ë¤Ï»þ´Ö¥¹¥±¡¼¥ë¤Î°Û¤Ê¤Ã¤¿ÍÍ¡¹¤Ê¸½¾Ý¤¬Â¸ºß¤¹¤ë¡¥Â®¤¯ÊѲ½¤¹¤ëÊÑ¿ô¤È¤æ¤Ã¤¯¤êÊѲ½¤¹¤ëÊÑ¿ô¤¬Æ±»þ¤Ë¸ºß¤¹¤ë¤è¤¦¤Ê¡¤Ê£¿ô¤Î»þ´Ö¥¹¥±¡¼¥ë¤òÆâÊñ¤¹¤ë¥À¥¤¥Ê¥ß¥«¥ë¥·¥¹¥Æ¥à¤ÏÆðÛÀÝÆ°·Ï¤È¸Æ¤Ð¤ì¡¤¸Å¤¯¤«¤é¡¤¿ô¿¤¯¤Î¸¦µæ¤¬¤Ê¤µ¤ì¤Æ¤¤¤ë¡¥¤³¤ì¤é¤Î²òÀϳØŪÆðÛÀÝÆ°ÏÀ¤À¤±¤Ç¤Ê¤¯´ö²¿³ØŪÆðÛÀÝÆ°ÏÀ¤Ï¡¤¥Ë¥å¡¼¥í¥À¥¤¥Ê¥ß¥¯¥¹¤Î¸¦µæ¤È¤âÁêÐؤäơ¤¶áǯÂ礭¤Ê¿ÊŸ¤ò¸«¤»¤Æ¤¤¤ë¡¥ËܹƤǤϡ¤¥«¥Ê¡¼¥ë²ò¤Ê¤É¡¤ÆðÛÀÝÆ°ÏÀ¤Ë´Ø¤¹¤ë´Êñ¤Ê³µÀâ¤Î¸å¡¤ºÇ¶á¤Î²æ¡¹¤Î¸¦µæ¤ò¾Ò²ð¤¹¤ë¡¥Æäˡ¤ÆðÛÀÝÆ°·Ï¤Ç¤Ï¥Û¥Ã¥×ʬ´ô¤Î¶á˵¤Ë¶Ë¤á¤Æ¼þ´ü¤ÎŤ¤¿¶Æ°²ò¤ä¥«¥ª¥¹Åª¿¶Æ°¸½¾Ý¤¬À¸¤¸¤ë¤³¤È¤ò¼¨¤¹¡¥

A1-4-2 (»þ´Ö: 16:05 - 16:30)
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Ãø¼Ô ¡ý¾®À¡ ¶©½Ó, ÌÐϤ À¬°ìϺ (Ê¡°æÂç³Ø)
Pagepp. 41 - 45
Keyword ¥¹¥â¡¼¥ë¥ï¡¼¥ë¥É¥Í¥Ã¥È¥ï¡¼¥¯, FPGA, ÇÛÀþ¹½Â¤, Ê¿¶Ñ·ÐϩĹ
Abstract¥¹¥â¡¼¥ë¥ï¡¼¥ë¥É¥Í¥Ã¥È¥ï¡¼¥¯¤òÍѤ¤¤¿FPGAÇÛÀþ¹½Â¤¤Î²þÁ±Ë¡¤òÄó°Æ¤·¤Æ¤¤¤ë¡¥¤³¤ì¤Þ¤Ç¤Ë¡¤FPGA¤Îµ¬Â§Åª¤ÊÇÛÀþ¹½Â¤¤Î¤¦¤Á¤¢¤ë¼ïÎà¤Î¥é¥¤¥ó¤Î¤ß¤ò¤ò¥é¥ó¥À¥à¤ËºÆÇÛÀþ¤·¥¹¥â¡¼¥ë¥ï¡¼¥ë¥É²½¤¹¤ë¤³¤È¤Ç¡¤¥Ö¥í¥Ã¥¯´Ö¤ÎÊ¿¶Ñ¥Ñ¥¹Ä¹¤òû¤¯¤Ç¤­¤ë¤³¤È¤¬Êó¹ð¤µ¤ì¤Æ¤¤¤ë¡¥Ëܸ¦µæ¤Ç¤Ï¡¤ºÆÇÛÀþ¤¹¤ë¥é¥¤¥ó¤Î¼ïÎà¤ò³ÈÂ礷¡¤ÍÍ¡¹¤ÊÁȤ߹ç¤ï¤»¤ò¹Í¤¨¤ë¤³¤È¤Ç¡¤¤µ¤é¤Ë¥Ñ¥¹Ä¹¤òû¤¯¤Ç¤­¤ë¤Û¤«¡¤¥Í¥Ã¥È¥ï¡¼¥¯¤ÎÂ礭¤µ¤Ë¤è¤Ã¤ÆŬ¤·¤¿ÁȤ߹ç¤ï¤»¤¬°Û¤Ê¤ë¤³¤È¤ò³Îǧ¤·¤Æ¤¤¤ë¡¥

A1-4-3 (»þ´Ö: 16:30 - 16:55)
Âê̾¥Ç¥¸¥¿¥ë¥¹¥Ñ¥¤¥¯°ÌÁê¼ÌÁü¤È¥¹¥Ñ¥¤¥¯Îó¤Î³Ø½¬
Ãø¼Ô ¡ý¾®Àî µ®»Ë, ºØÆ£ ÍøÄÌ (Ë¡À¯Âç³Ø Íý¹©³ØÉô Åŵ¤ÅŻҹ©³Ø²Ê)
Pagepp. 46 - 49
Keyword ¥¹¥Ñ¥¤¥­¥ó¥°¥Ë¥å¡¼¥í¥ó, ³Ø½¬
Abstract¥¹¥Ñ¥¤¥­¥ó¥°¥Ë¥å¡¼¥í¥ó¤ò»²¹Í¤È¤·¤¿¥Ç¥¸¥¿¥ë¥¹¥Ñ¥¤¥¯°ÌÁê¼ÌÁü¤òÄó°Æ¤·¡¢ ¥¹¥Ñ¥¤¥¯ÎóÆþÎϤò¶µ»Õ¿®¹æ¤È¤¹¤ë³Ø½¬¤Ë¤Ä¤¤¤Æ¹Í»¡¤¹¤ë¡£ Ʊ¼ÌÁü¤Ï¡¢¥Ç¥¸¥¿¥ë¥¹¥Ñ¥¤¥¯¥Ë¥å¡¼¥í¥ó¤Î´Êά²½¥·¥¹¥Æ¥à¤È¤ß¤Ê¤¹¤³¤È¤â¤Ç¤­¤ë¡£ ³Ø½¬¥¢¥ë¥´¥ê¥º¥à¤Ï¡¢ÆþÎϤȤ½¤Î¶á˵¤ÎÉôʬ¤Î¼ÌÁü¤¬Ã༡·èÄꤵ¤ì¤ë´ÊÁǤʤâ¤Î¤Ç¤¢¤ê¡¢¤½¤ÎÍ­¸úÀ­¤Ï¡¢´ðËÜŪ¤ÊÎãÂê¤ËÂФ¹¤ë¿ôÃͲòÀϤdzÎǧ¤µ¤ì¤ë¡£


¥»¥Ã¥·¥ç¥ó Ba1-1 PLL
Æü»þ: 2010ǯ4·î19Æü(·î) 9:00-10:15
ºÂĹ: ¹â°æ ¿­Ï (·²ÇÏÂç³Ø)

Ba1-1-1 (»þ´Ö: 9:00 - 9:25)
Âê̾¥Ç¥£¥¸¥¿¥ë;¸¹ÇÈȯÀ¸´ï¤òÍѤ¤¤¿Ê¬¿ôʬ¼þPLL²óÏ©
Ãø¼Ô ¡ý´ÝÃÏ ½ÓÌé (ÀÄ»³³Ø±¡Âç³ØÂç³Ø±¡ Íý¹©³Ø¸¦µæ²Ê), ¾¾Ã« ¹¯Ç· (ÀÄ»³³Ø±¡Âç³Ø Íý¹©³ØÉô)
Pagepp. 50 - 55
Keyword PLL, ʬ¿ôʬ¼þ´ï, ¥Ç¥¸¥¿¥ë;¸¹ÇÈȯÀ¸´ï
Abstract½¾Íè¤Îʬ¿ôʬ¼þPLL²óÏ©¤Ç¤ÏPLLÆâ¤Îʬ¼þ´ï¤Î¼þÊդ˥¹¥×¥ê¥¢¥¹»¨²»¤¬À¸¤¸¡¢¤³¤ì¤¬ÎÙÀÜ¥Á¥ã¥Í¥ë¤Ø¤Î˸³²¤ä¥¯¥í¥Ã¥¯¥¸¥Ã¥¿¤Î¸¶°ø¤È¤Ê¤Ã¤Æ¤¤¤¿¤¿¤á¡¢¥¹¥×¥ê¥¢¥¹¤ò½üµî¡¦Ä㸺¤¹¤ë¼êË¡¤¬¸¦µæ¤µ¤ì¤Æ¤¤¤ë¡£¤³¤ÎÌäÂê¤ò²ò·è¤¹¤ë°ì¼êË¡¤È¤·¤Æ¥Ç¥¸¥¿¥ë²óÏ©¤Ë¤è¤ë;¸¹ÇÈÇÉÀ¸²óÏ©¡¢D/AÊÑ´¹´ï¡¢LPF¡¢ÅÅ°µÈæ³Ó´ï¤òÍѤ¤¤¿¿·¤·¤¤Ê¬¿ôʬ¼þ´ï¤òÍѤ¤¤¿Ê¬¿ôʬ¼þPLL²óÏ©¤òÄó°Æ¤¹¤ë¡£¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤ª¤¤¤Æ¥¹¥×¥ê¥¢¥¹¤¬À¸¤¸¤Ê¤¤¤³¤È¤òÌÀ¤é¤«¤Ë¤·¡¢¤Þ¤¿»îºî²óÏ©¤Ë¤ª¤¤¤ÆÍ×ÁǸ¶Íý¤Ç¤¢¤ëLPF¤Ë¤è¤ë¥¼¥í¥¯¥í¥¹ÅÀ¤ÎÃê½Ð¤Ë¤è¤ê¡¢¥¹¥×¥ê¥¢¥¹¤¬È¯À¸¤»¤º¡¢¥Î¥¤¥º¥Õ¥í¥¢¤¬-75dBÄøÅÙ¤ËÍÞ°µ¤µ¤ì¤Æ¤¤¤ë¤³¤È¤ò¼Â¬¤Ë¤è¤êÌÀ¤é¤«¤Ë¤·¤¿¡£

Ba1-1-2 (»þ´Ö: 9:25 - 9:50)
Âê̾°ÌÁêÈæ³Ó²óÏ©ÍÑÈóÀþ·ÁTDC²óÏ©¤Î¸¡Æ¤
Ãø¼Ô ¡ýÅÏÊÕ ºÚÄÅÈþ (ÀÄ»³³Ø±¡Âç³ØÍý¹©³ØÉô), °ð³À ͺ»Ö (ÀÄ»³³Ø±¡Âç³ØÂç³Ø±¡Íý¹©³Ø¸¦µæ²Ê), ¾¾Ã« ¹¯Ç· (ÀÄ»³³Ø±¡Âç³ØÍý¹©³ØÉô)
Pagepp. 56 - 61
Keyword TDC, PLL, ¥Ð¥Ö¥ë¥³¡¼¥É
Abstract½¾Íè¤ÎÃÙ±ä¥Ð¥Ã¥Õ¥¡¤Î¥¹¥È¥ê¥ó¥°²óÏ©¤Ë¤è¤ê´ð½àÃÙ±ä¤òȯÀ¸¤µ¤»¤ÆDFF¤Ë¤è¤ê»þ´ÖÈæ³Ó¤ò¤¹¤ëTDC¡ÊTime to Digital Converter¡Ë¤ÏÇÛÀþÃÙ±ä¤ä¥È¥é¥ó¥¸¥¹¥¿ÆÃÀ­¥Ð¥é¥Ä¥­¤Ë¤è¤ê¡¤½ÐÎÏ¥³¡¼¥É¤¬Ã±Ä´¤ËÁý²Ã¤·¤Ê¤¤¥Ð¥Ö¥ë¥³¡¼¥É¤òȯÀ¸¤¹¤ë¤ª¤½¤ì¤¬¤¢¤ë¡¥¤½¤³¤Ç¡¤DFF¤ÎÃÙ±ä¤òÍѤ¤¤¿TDC²óÏ©¤òÄó°Æ¤·¡¤Ã±Ä´À­¤òÊݾ㤹¤ëºÝ¤ËÌäÂê¤È¤Ê¤ë¥Ð¥Ö¥ë¥³¡¼¥É¤¬È¯À¸¤·¤Ê¤¤¤³¤È¤ò²óÏ©¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤Ã¤ÆÌÀ¤é¤«¤Ë¤·¤¿¡¥¤Þ¤¿Äó°ÆTDC²óÏ©¤Î¥Ç¡¼¥¿ÆþÎϤËÃÙ±ä¥Ð¥Ã¥Õ¥¡¤òÁÞÆþ¤¹¤ë¤³¤È¤Ç°ÌÁêʬ²Äǽ¤ò¸þ¾å¤Ç¤­¤ë¤³¤È¤ò¼¨¤·¤¿¡¥¤µ¤é¤ËÄó°ÆTDC¤ò±þÍѤ·¤Æ¹â®°ú¤­¹þ¤ß¤ÈÄã°ÌÁ껨²»ÆÃÀ­¤ò¼Â¸½¤¹¤ëÈóÀþ·ÁTDC¤òÄó°Æ¤·PLL¤Ø±þÍѲÄǽ¤Ç¤¢¤ë¤³¤È¤ò¼¨¤·¤¿¡¥

Ba1-1-3 (»þ´Ö: 9:50 - 10:15)
Âê̾TDC¤òÍѤ¤¤Ê¤¤Á´¥Ç¥¸¥¿¥ëPLL¤Î¸¡Æ¤
Ãø¼Ô ¡ý°ð³À ͺ»Ö, ¾¾Ã« ¹¯Ç· (ÀÄ»³³Ø±¡Âç³ØÂç³Ø±¡ Íý¹©³Ø¸¦µæ²Ê)
Pagepp. 62 - 66
Keyword Á´¥Ç¥¸¥¿¥ëPLL, ¼þÇÈ¿ô¥·¥ó¥»¥µ¥¤¥¶, ¸ÇÄê¾®¿ôÅÀ¥«¥¦¥ó¥¿
AbstractLSI¥×¥í¥»¥¹¤Î0.1¦Ìm°Ê²¼¤Ø¤ÎÈùºÙ²½¤ÈÅŸ»ÅÅ°µ¤Î1V°Ê²¼¤Ø¤ÎÄ㸺¤Î·¹¸þ¤«¤é¡¤TDC¤ä¥ë¡¼¥×¥Õ¥£¥ë¥¿Åù¤Î¥¢¥Ê¥í¥°ÅªÍ×ÁǤòÁ´¤¯´Þ¤Þ¤Ê¤¤Á´¥Ç¥¸¥¿¥ëPLL¤Î¼Â¸½¤¬Ë¾¤Þ¤ì¤Æ¤¤¤ë¡¥ËÜÊó¹ð¤Ç¤Ï¡¤²óÏ©¤ÎÁ´¥Ç¥¸¥¿¥ë²½¤ª¤è¤Ó¾®·¿²½¤Î¤¿¤áTDC¤ä½ü»»´ï¤òÍѤ¤¤Ê¤¤Á´¥Ç¥¸¥¿¥ëPLL¤òÄó°Æ¤·¡¤MATLAB/Simulink¤Ë¤è¤ë¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤ª¤è¤Ó¥Ö¥ì¥Ã¥É¥Ü¡¼¥É²óÏ©¤Îɾ²Á·ë²Ì¤è¤ê¡¤¥Õ¥é¥¯¥·¥ç¥Ê¥ë¥¹¥×¥ê¥¢¥¹¤¬ÍÞÀ©¤µ¤ì¡¤´ð½à¥¯¥í¥Ã¥¯100¼þ´ü°Ê²¼¤Ç¼þÇÈ¿ô°ú¤­¹þ¤ß¤¬´°Î»¤¹¤ë¤³¤È¤ò³Îǧ¤·¤¿¡¥


¥»¥Ã¥·¥ç¥ó Ba1-2 ¥¢¥ó¥×¡¦¥Õ¥£¥ë¥¿
Æü»þ: 2010ǯ4·î19Æü(·î) 10:30-12:10
ºÂĹ: ¾¾Ã« ¹¯Ç· (ÀÄ»³³Ø±¡Âç³Ø)

Ba1-2-1 (»þ´Ö: 10:30 - 10:55)
Âê̾MOSFET¤Î¥²¡¼¥È-¥É¥ì¥¤¥ó´Ö¤Î´óÀ¸ÍÆÎ̤ò¹Íθ¤·¤¿EµéÁýÉý´ï¤ÎÀß·×
Ãø¼Ô ¡ýò² ½¨¶Ö, ´Ø²° Âçͺ, ¹õ´ä âøã (ÀéÍÕÂç³ØÂç³Ø±¡Í»¹ç²Ê³Ø¸¦µæ²Ê), Ëö¼¡ Àµ (Ê¡²¬Âç³Ø¹©³ØÉôÅŻҾðÊ󹩳زÊ), Marian K. Kazimierczuk (Department of Electrical Engineering, Wright State University)
Pagepp. 67 - 72
Keyword EµéÁýÉý´ï, ¥²¡¼¥È–¥É¥ì¥¤¥ó, ´óÀ¸ÍÆÎÌ, ²òÀÏ
AbstractËÜÏÀʸ¤Ç¤ÏMOSFET¤Î¥²¡¼¥È-¥É¥ì¥¤¥ó´Ö¤Î´óÀ¸ÍÆÎ̤ò¹Íθ¤·¤¿EµéÁýÉý´ï¤ÎÇÈ·Á¼°¤ÈÀß·×ÊýÄø¼°¤ò¼¨¤¹. Àß·×Îã¤ò¼¨¤·, ²óÏ©¤Î¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤ª¤è¤Ó¼Â¸³¤ò¹Ô¤¦. ÅÅ°µÇÈ·Á¤¬EµéÆ°ºî¾ò·ï¤òËþ­¤¹¤ë¤³¤È¤ò³Îǧ¤·, ËÜÏÀʸ¤Ë¤ª¤±¤ë²òÀϤÎÂÅÅöÀ­¤ò¼¨¤¹. ²óÏ©¼Â¸³¤Ë¤ª¤¤¤Æ, EµéÁýÉý´ï¤Ï½ÐÎÏÅÅÎÏPo=4.04 W¤ª¤è¤ÓÆ°ºî¼þÇÈ¿ôf=7 MHz¤Ë¤ª¤¤¤Æ92.8 %¤ÎÅÅÎÏÊÑ´¹¸úΨ¤òãÀ®¤·¤¿. ËÜÏÀʸ¤Î·ë²Ì¤Ï, ¹â¼þÇÈ¿ô´Ä¶­¤Ç¤ÎEµéÁýÉý´ï¤ÎÀ߷פˤª¤¤¤Æ, MOSFET¤Î¥²¡¼¥È-¥É¥ì¥¤¥ó´Ö¤Î´óÀ¸ÍÆÎ̤ò¹Íθ¤¹¤ë¤³¤È¤Î½ÅÍ×À­¤ò¼¨¤·¤Æ¤¤¤ë.

Ba1-2-2 (»þ´Ö: 10:55 - 11:20)
Âê̾2¾èÅÅή¸»¤Èº¹Æ°ÂФǹ½À®¤µ¤ì¤ë¿·¤·¤¤Å¬±þ¥Ð¥¤¥¢¥¹·¿Àþ·ÁMOS¥È¥é¥ó¥¹¥³¥ó¥À¥¯¥¿
Ãø¼Ô ¡ý¥×¥é¥¦¥£¥Ã¥È ¥È¥ó¥×¡¼¥ó, ¾¾¸µ ƣɧ, ÃÝÆâ ¶Ñ, Ìî¸ý ÂÙÌÀ (ËɱÒÂç³Ø¹» ±þÍÑʪÍý³Ø²Ê)
Pagepp. 73 - 78
Keyword CMOS, ¥¢¥Ê¥í¥°½¸ÀѲóÏ©, ¥È¥é¥ó¥¹¥³¥ó¥À¥¯¥¿, Àþ·Á²óÏ©
AbstractÀþ·Á¥È¥é¥ó¥¹¥³¥ó¥À¥¯¥¿¤Ï¡¢¥¢¥Ê¥í¥°¿®¹æ½èÍý²óÏ©¤Î´ðËÜŪ¤Ê¹½À®Ã±°Ì¤Ç¤¢¤ë¡£¥Ð¥¤¥¢¥¹¥ª¥Õ¥»¥Ã¥È·¿¥È¥é¥ó¥¹¥³¥ó¥À¥¯¥¿¤ÏÀþ·ÁÀ­¤ÎÍ¥¤ì¤¿²óÏ©¤È¤·¤ÆÃΤé¤ì¤¤¤ë¡£¤·¤«¤·¡¢¤³¤Î²óÏ©¤òÆ°ºî¤µ¤»¤ë¤Ë¤Ï¡¢2¤Ä¤ÎÈóÀÜÃϥХ¤¥¢¥¹ÅÅ°µ¸»¤¬É¬Íפˤʤꡢ²óÏ©ÌÌÀѤ¬Â礭¤¯¤Ê¤ë¡£¤Þ¤¿¡¢¥Ð¥¤¥¢¥¹ÅÅ°µ¤òÂ礭¤¯¤¹¤ë¤È¡¢Æ°ºîÈϰϤ¬¶¹¤¯¤Ê¤ë¡£°ìÊý¡¢½¾Íè¤ÎŬ±þ¥Ð¥¤¥¢¥¹·¿Àþ·Á¥È¥é¥ó¥¹¥³¥ó¥À¥¯¥¿¤Ë¤Ï¡¢¤³¤ì¤é¤Î¤è¤¦¤ÊÌäÂ꤬À¸¤¸¤Ê¤¤¡£¤·¤«¤·¡¢CMRR¤ÈPSRR¤¬Ä㤤¤È¤¤¤¦ÌäÂ꤬¤¢¤ë¡£¤½¤³¤ÇËܸ¦µæ¤Ç¤Ï¡¢¹â¤¤CMRR¤ÈPSRR¤ò¤â¤Ä¡¢¿·¤·¤¤Å¬±þ¥Ð¥¤¥¢¥¹·¿Àþ·Á¥È¥é¥ó¥¹¥³¥ó¥À¥¯¥¿¤òÄó°Æ¤¹¤ë¡£¹¹¤Ë¡¢Äó°Æ²óÏ©¤Ï¡¢¥·¥ó¥°¥ë¥¨¥ó¥ÉÊÑ´¹¤Ê¤·¤ÇÀþ·Á¤ÊÆþ½ÐÎÏÆÃÀ­¤ò¼Â¸½¤Ç¤­¤ë¡£

Ba1-2-3 (»þ´Ö: 11:20 - 11:45)
Âê̾0.5V°Ê²¼¤ÎÅÅ°µ¶îÆ°¤ò¼Â¸½¤·¤¿¥µ¥Ö¥¹¥ì¥·¥ç¥ë¥ÉÆ°ºî¥¢¥Ê¥í¥°²óÏ©
Ãø¼Ô ¡û¸¶ÅÄ ÃοÆ, ¹â¶¶ ÎÉÊå, º´»³ ͵µª, ±ü»³ À¡Íº, ¾¾²¼ ¹À°ì (»³·ÁÂç³ØÂç³Ø±¡ Íý¹©³Ø¸¦µæ²Ê)
Pagepp. 79 - 84
Keyword ¥µ¥Ö¥¹¥ì¥·¥ç¥ë¥ÉÆ°ºî, ¥¢¥Ê¥í¥°²óÏ©, ¥ª¥ó¥Á¥Ã¥×ÅŸ»
AbstractËܸ¦µæ¤Ç¤Ï¡¢¥Ð¥Ã¥Æ¥ê¡¼Åù¤Î¸Â¤é¤ì¤¿ÅÅÎϤǿôǯưºî²Äǽ¤Ê¶ËÄãÅÅ°µ¶îÆ°¥¢¥Ê¥í¥°²óÏ©¤ò´Þ¤á¤¿LSI ¤Î¼Â¸½¤Ë¸þ¤±¡¢¼åȿžÎΰè¤òÍѤ¤¤¿Èù¾®ÅÅή¤Ë¤è¤ê¡¢0.5V °Ê²¼¤Î¶ËÄãÅŸ»ÅÅ°µ¤ÇÆþ½ÐÎÏRail-to-Rail Æ°ºî¤¬²Äǽ¤Ê¡¢º¹Æ°ÁýÉý²óÏ©¤òÀ߷ס¦É¾²Á¤ò¹Ô¤Ã¤¿¡£¤½¤·¤Æ¡¢¥µ¥Ö¥¹¥ì¥·¥ç¥ë¥ÉÎΰè¤Ç²óÏ©¤ò°ÂÄê¤ËÆ°ºî¤µ¤»¤ë¤¿¤á¤Î¥ª¥ó¥Á¥Ã¥×ÅŸ»²óÏ©¤Ë¤Ä¤¤¤ÆÀ߷פ·É¾²Á¤ò¹Ô¤Ê¤Ã¤¿¡£

Ba1-2-4 (»þ´Ö: 11:45 - 12:10)
Âê̾°ÌÁꤪ¤è¤Ó¿¶ÉýÆÃÀ­¤ÎÃ༡ºÇŬ²½¤Ë´ð¤Å¤¤¤¿¥Þ¥¤¥¯¥íÇÈ¥Õ¥£¥ë¥¿¤Î¼«Æ°Ä´À°¼êË¡
Ãø¼Ô ¡ýÉðÆâ ÍÛ²ð (²£É͹ñΩÂç³Ø¹©³ØÉÜ), »ÔÌÓ ¹°°ì (²£É͹ñΩÂç³Ø¹©³Ø¸¦µæ±¡), µÜËÜ ¹¬°ì, ·ÃÈ溬 ²Âͺ (ÆüËÜÅŶȹ©ºî³ô¼°²ñ¼Ò)
Pagepp. 85 - 90
Keyword ¼«Æ°Ä´À°, ¥Þ¥¤¥¯¥íÇÈ¥Õ¥£¥ë¥¿
Abstract¶áǯ¡¤ÌµÀþÄÌ¿®µ»½Ñ¤Îȯã¤Ë¤è¤ê°ÜÆ°ÂÎÄÌ¿®¤¬µÞ®¤ËÉáµÚ¤·¡¤ÄÌ¿®¥¹¥Ú¥¯¥È¥ë¤Î²áÌ©²½¤¬ÌäÂê¤È¤Ê¤Ã¤Æ¤¤¤ë¡¥¤½¤³¤Ç¡¤ÎÙÀÜÂÓ°è¿®¹æ¤Ë¤è¤ëÅÅÇÈ´³¾Ä¤òÄ㸺¤¹¤ë¤³¤È¤¬¤Ç¤­¤ë¿ÃÊBPF¤Î¼ûÍפ¬¹â¤Þ¤Ã¤Æ¤¤¤ë.¿ÃÊBPF¤Ï¥¹¥«¡¼¥ÈÆÃÀ­¤¬µÞ½Ô¤Ç¤¢¤ê¡¤²áÌ©²½¤·¤¿¥¹¥Ú¥¯¥È¥ë¤«¤é½ê˾ÂÓ°è¤òʬΥ¤¹¤ë¤Î¤ËŬ¤·¤Æ¤¤¤ë¡¥¤·¤«¤·¤Ê¤¬¤é¡¤BPF¤òºîÀ®¤·¤¿ºÇ½é¤ÎÃʳ¬¤Ç¤ÏÁǻҤΤФé¤Ä¤­¤äÁÈΩ¸íº¹¤Ê¤É¤Ë¤è¤Ã¤Æ½ê˾ÆÃÀ­¤òËþ¤¿¤·¤Æ¤ª¤é¤º¡¤¤½¤Î°ÙºÇ¸å¤ËÆÃÀ­¤òËþ­¤¹¤ë¤è¤¦Ä´À°¤¹¤ëɬÍפ¬¤¢¤ë¡¥¤³¤ÎÄ´À°ºî¶È¤À¤¬¡¤Èó¾ï¤ËÈÑ»¨¤Ç¸½ºß½ÏÎý¿¦¿Í¤Î¼êºî¶È¤Ë¤è¤Ã¤ÆÈùÄ´À°¤¬¹Ô¤ï¤ì¤Æ¤¤¤ë°Ù¤Ë¥³¥¹¥È¤ä»þ´Ö¤¬¤«¤«¤ë¤È¤¤¤Ã¤¿ÌäÂ꤬¤¢¤ë¡¥¤½¤³¤Ç¡¤µ¡³£¤Ë¤è¤ëÄ´À°¤Ç¤â½ê˾ÆÃÀ­¤òËþ¤¿¤¹¤³¤È¤¬¤Ç¤­¤ë¤è¤¦¤ÊÄ´À°¥¢¥ë¥´¥ê¥º¥à¤òÄó°Æ¡¦¼ÂÁõ¤·¡¤Ä´À°ÀºÅÙ¤ò¸¡Æ¤¤·¤Æ¤¤¤ë¡¥


¥»¥Ã¥·¥ç¥ó Ba1-3 [¥Á¥å¡¼¥È¥ê¥¢¥ë¹Ö±é] CMOS¥¢¥Ê¥í¥°½¸ÀѲóÏ©¥Á¥å¡¼¥È¥ê¥¢¥ë
Æü»þ: 2010ǯ4·î19Æü(·î) 13:30-16:45
ºÂĹ: ¾¾¸µ ƣɧ (ËɱÒÂç³Ø¹» ±þÍÑʪÍý³Ø²Ê)

Ba1-3-1
Âê̾(¾·ÂÔ) CMOS¥¢¥Ê¥í¥°½¸ÀѲóÏ©À߷פòÌܻؤ¹³ØÀ¸¡¦¼ã¼êµ»½Ñ¼Ô¤¬½¬ÆÀ¤·¤Æ¤ª¤¯¤Ù¤­ ¥³¥¢µ»½Ñ
Ãø¼Ô ¡ûë¸ý ¸¦Æó (ÂçºåÂç³Ø)
Pagepp. 91 - 94
Keyword CMOS, ¥¢¥Ê¥í¥°, ²óÏ©Àß·×, ¥³¥¢µ»½Ñ, ¶µ°é
AbstractCMOS¥¢¥Ê¥í¥°½¸ÀѲóÏ©Àß·×¼Ô¤òÌܻؤ¹³ØÀ¸¡¦¼ã¼êµ»½Ñ¼Ô°éÀ®¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë¡£ ¥¢¥Ê¥í¥°²óÏ©¤Ï¿®¹æ½èÍý¤Î¼êÃʤǤ¢¤ê¡¢Æþ½ÐÎÏ¿®¹æ¤Î°ø²Ì´Ø·¸¤òɽ¤¹ÅÁã´Ø¿ô¤¬ºÇ¤â½ÅÍפǤ¢¤ë¡£PLL¤äADÊÑ´¹´ï¤Ê¤É¤â¹­µÁ¤ÎÅÁã´Ø¿ô¤Çɽ¤µ¤ì¤ë¡£Ç½Æ°ÁǻҤÎÆÃÀ­¤òÁê¸ß¥³¥ó¥À¥¯¥¿¥ó¥¹gm¡¢½ÐÎÏÄñ¹³ro¡¢´óÀ¸ÍÆÎÌC¤Çɽ¸½¤¹¤ì¤Ð¥¢¥Ê¥í¥°²óÏ©¤Ï¤³¤ì¤é¤ÎʪÍý¥Ñ¥é¥á¡¼¥¿¤ò´Þ¤àÅÁã´Ø¿ô¤Çɽ¤µ¤ì¤ë¡£µÕ¤Ë¡¢ÅÁã´Ø¿ô¤«¤é»ÅÍͤ˹礦gm,ro¤¬Æ³¤«¤ì¤ë¤È¡¢ÁǻҤΥХ¤¥¢¥¹ÅÅή¤äÅÅ°µ¤¬·è¤Þ¤ë¡£¼ÂºÝ¤Î²óÏ©À߷פθ½¾ì¤Ç¤Ï¤³¤ì¤Ë²Ã¤¨¡¢ÍÍ¡¹¤Ê²óÏ©¥È¥Ý¥í¥¸¡¼¡¢¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤òÁªÂò¤·¤Æ¥¢¥Ê¥í¥°²óÏ©¤Î¾ÃÈñÅÅÎÏ¡¢¿®¹æ»¨²»Èæ¡¢Êâα¤Þ¤ê¡¢ÏĤʤɤò¹Íθ¤·¤Ê¤¬¤é»ÅÍͤòËþ¤¿¤¹ºÇŬ¤Ê²ò¤òµá¤á¤ë¡£¤â¤Á¤í¤ó½ÐÎÏ¿®¹æ¤Î°ìÉô¤òÆþÎϦ¤Ë¥Õ¥£¡¼¥É¥Ð¥Ã¥¯¤¹¤ë¤³¤È¤ÇÍÍ¡¹¤ÊÅÁã´Ø¿ô¤¬¼Â¸½¤Ç¤­¤ë¡£¹Ö±é¤ÎÃæ¤Ç¤Ï¤³¤ì¤é¤Î´ðÁÃÃ챤ò´ð¤Ë¡¢CMOS¥¢¥Ê¥í¥°½¸ÀѲóÏ©¤ÎÆ°ºî¤òÍý²ò¤¹¤ë¤¿¤á¡¢¥¢¥Ê¥í¥°²óÏ©µ»½Ñ¤ÎʬÌî²£ÃÇŪ¤Ê¥³¥¢µ»½Ñ¤òʬ¤«¤ê¤ä¤¹¤¯¾Ò²ð¤¹¤ë¡£


¥»¥Ã¥·¥ç¥ó Bd1-1 ¿®¹æ½èÍý´ðÁÃ
Æü»þ: 2010ǯ4·î19Æü(·î) 8:50-10:10
ºÂĹ: Æ«»³ ·ò¿Î (ÅìµþÅŵ¡Âç³Ø)

Bd1-1-1 (»þ´Ö: 8:50 - 9:10)
Âê̾The Optimum Discrete Signal Estimation of a Slightly Non-linear Filter Bank Including Running-type Approximation
Ãø¼Ô Yuichi Kida (The School of Pharmaceutical Sciences, Ohu University), ¡ûTakuro Kida (Prof. Emeritus of Tokyo Institute of Technology)
Pagepp. 95 - 100
Keyword Nonlinear signal processing, Filter bank, The optimum approximation
AbstractTheory of interpolation approximation of a signal in a given set of signals has been focused as a powerful technique in the digital signal processing. In our previous papers, we present many theories of the optimum interpolation approximation for various types of signals including deterministic signals or statistical signals. In these theories, the interpolation approximations are modeled as a certain generalized filter bank. In these theories, the generalized analysis filters are linear operators. However, in many physical effects in biomedical field and sensors in material engineering, it is often the case that some small non-linear characteristics are contained. In our previous paper, we treat approximation of non-linear filter bank. However, running approximation is not treated. In this paper, a theory of a favorable interpolation approximation of running-type filter banks with non-linear analysis filters is presented based on the one-to-one correspondence between errors in a wide interval in the variable domain and its small segment.

Bd1-1-2 (»þ´Ö: 9:10 - 9:30)
Âê̾ʬ»Þ¸ÂÄêË¡¤Ë¤è¤ëCSD·¸¿ôFIR¥Õ¥£¥ë¥¿À߷פι⮲½
Ãø¼Ô ¡ý¹â¶¶ ¿­É×, Æ«»³ ·ò¿Î (ÅìµþÅŵ¡Âç³Ø ¹©³ØÉô Åŵ¤ÅŻҹ©³Ø²Ê)
Pagepp. 101 - 106
Keyword FIR¥Õ¥£¥ë¥¿, º®¹çÀ°¿ô·×²èË¡, ʬ»Þ¸ÂÄêË¡, ¥¿¥Ö¡¼¥µ¡¼¥Á
AbstractËܸ¦µæ¤Ç¤Ïʬ»Þ¸ÂÄêË¡¤Ë¤è¤ëCSD·¸¿ôFIR¥Õ¥£¥ë¥¿À߷פι⮲½¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤¹¤ë¡¥¤³¤ì¤Þ¤Ç¡¤CSDɽ¸½¤òÀþ·ÁÀ©Ìó¤È¤·¤Æ¤â¤ÄÎ¥»¶·¸¿ôFIR¥Õ¥£¥ë¥¿¤ÎÀß·×ÌäÂê¤òº®¹çÀ°¿ô·×²èÌäÂê¤È¤·¤ÆÄê¼°²½¤·¡¤Ê¬»Þ¸ÂÄêË¡¤Ë¤è¤êºÇŬÀ߷פò¹Ô¤Ã¤Æ¤­¤¿¡¥¤·¤«¤·¡¤Ê¬»Þ¸ÂÄêË¡¤Ï¿¤¯¤ÎÉôʬÌäÂê¤òÀ¸À®¤·¡¤ËÄÂç¤Ê·×»»»þ´Ö¤òÍפ¹¤ë¤¿¤áÉôʬÌäÂê¿ô¤Îºï¸º¤¬½ÅÍפʲÝÂê¤Ç¤¢¤ë¡¥½¾ÍèË¡¤Ç¤Ï¡¤Ê¬»Þ¸ÂÄêË¡¤Î»ÃÄêÃͤ˽é´üÃͤòÍ¿¤¨¤ë¤³¤È¤ÇÉôʬÌäÂê¿ô¤Îºï¸º¤ò³Îǧ¤·¤Æ¤­¤¿¤¬¡¤¤µ¤é¤Ë¡¤Ê¬»Þ¸ÂÄêË¡¤Î½é´ü²ò¤¬ºÇŬ²ò¤Ë¶á¤±¤ì¤ÐÉôʬÌäÂê¿ô¤Îºï¸º¤¬´üÂԤǤ­¤ë¡¥Ëܸ¦µæ¤Ç¤Ïʬ»Þ¸ÂÄêË¡¤Î½é´ü²ò¤Ë¥¿¥Ö¡¼¥µ¡¼¥Á¤ÇÆÀ¤é¤ì¤¿¶á»÷²ò¤òÍѤ¤¤ÆÉôʬÌäÂê¿ôºï¸º¤ò¿Þ¤ë¡¥Àß·×Îã¤è¤êÄó°ÆË¡¤ÎÍ­¸úÀ­¤ò¼¨¤¹¡¥

Bd1-1-3 (»þ´Ö: 9:30 - 9:50)
Âê̾¥ô¥©¥ë¥Æ¥é¥Õ¥£¥ë¥¿¤òÍѤ¤¤¿¥«¥ª¥¹ÊÑÉüÄ´¥·¥¹¥Æ¥à¤Ë´Ø¤¹¤ë¸¦µæ
Ãø¼Ô ¡ýÂÀÅÄ À¬¹¨ (ÌÀ¼£Âç³ØÂç³Ø±¡Íý¹©³Ø¸¦µæ²Ê), ³ùÅÄ ¹°Ç· (ÌÀ¼£Âç³ØÍý¹©³ØÉô)
Pagepp. 107 - 110
Keyword ¥ô¥©¥ë¥Æ¥é¥Õ¥£¥ë¥¿

Bd1-1-4 (»þ´Ö: 9:50 - 10:10)
Âê̵̾ÂÌ»þ´Ö¤ò´Þ¤àÅÁã´Ø¿ôƱÄê¤Î¤¿¤á¤ÎÈùʬ¥Õ¥£¥ë¥¿
Ãø¼Ô ¡ûΩ²Ö ¹¯É× (¿ÀÆàÀ²ÊÂç³Ø ¾ðÊó¥á¥Ç¥£¥¢³Ø²Ê)
Pagepp. 111 - 114
Keyword Identification, Dead time, Transfer function, Differential filter, FIR
Abstract¤³¤ÎÏÀʸ¤Ï¡¢Èùʬ¥Õ¥£¥ë¥¿¤òÍѤ¤¤¿ÌµÂÌ»þ´Ö¤ò´Þ¤àÅÁã´Ø¿ô¤ÎƱÄêË¡¤ÈɬÍפȤʤëÈùʬ¥Õ¥£¥ë¥¿¤ÎÀß·×Ë¡¤òÍ¿¤¨¤ë¡£ÌµÂÌ»þ´Ö¤ò1¼¡ÃÙ¤ì¤Ç¶á»÷¤·¡¢ÅÁã´Ø¿ô¤ÎʬÊì¤Ë·«¤ê¹þ¤ó¤Ç¸µ¤Î·Ï¤ò̵ÂÌ»þ´Ö¤Î̵¤¤ÅÁã´Ø¿ô¤Ç¶á»÷¤¹¤ë¡£¤³¤ì¤òÂоݷϤÎÆþ½ÐÎÏ¥µ¥ó¥×¥ëÃͤÎÈùʬ¥Õ¥£¥ë¥¿¿®¹æ¤òÍѤ¤¤Æ¿äÄꤹ¤ë¡£Äó°ÆÈùʬ¥Õ¥£¥ë¥¿¤ÏFIR·¿¤ÇÀþ·Á°ÌÁê¤Ç¤¢¤ë¡£1¼¡Èùʬ¥Õ¥£¥ë¥¿¤È1¼¡Äã°è¥Õ¥£¥ë¥¿¤È¹â¼¡¤ÎÄã°è¥Õ¥£¥ë¥¿¤Î¥«¥¹¥±¡¼¥ÉÀܳ¤Ç½êÄê¤ÎÆÃÀ­¤òËþ¤¿¤¹¡£Äó°ÆƱÄê¼êË¡¤Ë¤Ï¶¹¤¤Éý¤ÎÄã°èÆÃÀ­¤¬É¬ÍפȤʤꡢ400¼¡ÄøÅ٤ι⼡¥Õ¥£¥ë¥¿¤òÍѤ¤¤ë¡£¥Õ¥£¥ë¥¿À߷פϺǾ®Æó¾èË¡¤Ë¤è¤ê¡¢²òË¡¤Ë¤ÏGauss-SeidelË¡¤òÍѤ¤¤ë¡£¸µ¤Î·Ï¤ÎÅÁã´Ø¿ô·¸¿ô¤È̵ÂÌ»þ´Ö¤Ï¿äÄêÅÁã´Ø¿ô·¸¿ô¤ÎÈóÀþ·ÁÊýÄø¼°¤òËþ¤¿¤¹¡£¤³¤ì¤ÏNewton- RaphsonË¡¤Ë¤è¤ëÃ༡¶á»÷¤Ç²ò¤¯¡£¥Õ¥£¥ë¥¿Àß·×Îã¤ÈƱÄêÎã¤ò¼¨¤¹¡£


¥»¥Ã¥·¥ç¥ó Bd1-2 ¿®¹æ½èÍý±þÍÑ
Æü»þ: 2010ǯ4·î19Æü(·î) 10:45-12:05
ºÂĹ: »ÔÌÓ ¹°°ì (²£É͹ñΩÂç³Ø)

Bd1-2-1 (»þ´Ö: 10:45 - 11:05)
Âê̾Improving Performance of Hybrid Active Noise Control Systems for Narrowband Periodic Disturbances
Ãø¼Ô ¡ýMuhammad Tahir Akhtar, Wataru Mitsuhashi (The University of Electro-Communications)
Pagepp. 115 - 120
Keyword Active Noise Control, FxLMS algorithm, Hybrid ANC, Periodic Disturbances
AbstractIn filtered-x LMS (FxLMS) algorithm-based single-channel feedforward active noise control (ANC) system, a reference signal is available that is correlated with the primary disturbance at the error microphone. In some practical situations, there may be an uncorrelated disturbance appearing at the error microphone, for which correlated reference signal is not available. This disturbance, degrades the performance of the ANC system. In this paper we propose an improved performance hybrid ANC system which can simultaneously control both the correlated and uncorrelated noise signals. The proposed method comprises three adaptive filters; 1) the FxLMS algorithm-based ANC filter to cancel the primary noise, 2) a separate FxLMS algorithm-based ANC filter to cancel the uncorrelated disturbance, and 3) the LMS algorithm based supporting adaptive filter to generate appropriate signals for the two ANC filters. Computer simulations are carried out which demonstrate that the proposed method can effectively mitigate the correlated and uncorrelated primary disturbances, and gives significantly improved noise reduction performance. This improved performance is achieved at an increased computational complexity.

Bd1-2-2 (»þ´Ö: 11:05 - 11:25)
Âê̾¥Ñ¥é¥ì¥ë¹½À®·¿Å¬±þ¥Î¥Ã¥Á¥Õ¥£¥ë¥¿¤Î±é»»Î̺︺
Ãø¼Ô ¡ûÀî¼ ¿·, Ìø °ôͺ, ÈÓÔ¢ ÍÎÆó (ÂçºåÂç³Ø´ðÁù©³Ø¸¦µæ²Ê)
Pagepp. 121 - 126
Keyword ¥Î¥Ã¥Á¥Õ¥£¥ë¥¿, ¥Ñ¥é¥ì¥ë¹½À®, ¼ý«®ÅÙ, ¿äÄêÀºÅÙ, ±é»»Î̺︺
Abstract¹­ÂÓ°è¿®¹æ¤Ëº®ºß¤¹¤ëÉÔÍפʶ¹ÂÓ°è¿®¹æ¤ò½üµî¤¹¤ë¤¿¤á¤Î¼êÃʤȤ·¤Æ¡¤Å¬±þ¥Î¥Ã¥Á¥Õ¥£¥ë¥¿¤òÍѤ¤¤ëÊýË¡¤¬¸¦µæ¤µ¤ì¤Æ¤¤¤ë¡¥Å¬±þ¥Î¥Ã¥Á¥Õ¥£¥ë¥¿¤Ï¡¤½üµî¼þÇÈ¿ô¤¬¼«Æ°Åª¤Ë̤ÃÎÀµ¸¹ÇȼþÇÈ¿ô¤Ë¼ý«¤¹¤ë¤³¤È¤¬³Îǧ¤µ¤ì¤Æ¤¤¤ë¡¥¤·¤«¤·¤Ê¤¬¤é¡¤¤³¤Î¤è¤¦¤ÊŬ±þ¥Î¥Ã¥Á¥Õ¥£¥ë¥¿¤Ë¤Ï¡¤¿äÄêÀºÅ٤ȼý«®Å٤Υȥ졼¥É¥ª¥Õ¤È¤¤¤¦º¬ËÜŪ¤ÊÌäÂ꤬¤¢¤ë¡¥¤³¤ÎÌäÂê¤ò²ò·è¤¹¤ë¤¿¤á¡¤²æ¡¹¤Ï¥Ñ¥é¥ì¥ë¹½À®·¿Å¬±þ¥Î¥Ã¥Á¥Õ¥£¥ë¥¿(PNF: Parallel Notch Filter)¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤·¤Æ¤­¤¿¡¥PNF¤Ï¡¤¿äÄêÀºÅÙÍ¥Àè¤Î¥Î¥Ã¥Á¥Õ¥£¥ë¥¿1¤È¼ý«®ÅÙÍ¥Àè¤Î¥Î¥Ã¥Á¥Õ¥£¥ë¥¿2¤«¤é¹½À®¤µ¤ì¤ë¡¥¤½¤·¤Æ³Æ»þ¹ï¤Ë¤ª¤¤¤Æ¡¤¤½¤ì¤¾¤ì¤Î¥Õ¥£¥ë¥¿¤Î½ÐÎÏʬ»¶¤òÈæ³Ó¤·¡¤Ê¬»¶¤¬¾®¤µ¤¤Êý¤Î¥Õ¥£¥ë¥¿·¸¿ô¤òÁªÂò¤·¤ÆÍøÍѤ¹¤ë¤â¤Î¤Ç¤¢¤ë¡¥¤·¤¿¤¬¤Ã¤Æ¡¤¿äÄê½é´ü¤Ç¤Ï¼ý«®ÅÙÍ¥Àè¤Î¥Î¥Ã¥Á¥Õ¥£¥ë¥¿2¤Î·¸¿ô¤¬ÍøÍѤµ¤ì¡¤¼ý«ÃͶá˵¤Ç¤Ï¿äÄêÀºÅÙÍ¥Àè¤Î¥Î¥Ã¥Á¥Õ¥£¥ë¥¿1¤Î·¸¿ô¤¬ÍøÍѤµ¤ì¤ë¡¥·ë²Ì¤È¤·¤Æ¡¤PNF¤Ï¼ý«®Å٤ȿäÄêÀºÅ٤Υȥ졼¥É¥ª¥Õ¤ò²ò·è¤Ç¤­¤ë¡¥ËܹƤǤϡ¤¤³¤ÎPNF¤Î±é»»Î̺︺¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤·¤Æ¤¤¤ë¡¥

Bd1-2-3 (»þ´Ö: 11:25 - 11:45)
Âê̾º®¹ç»¨²»½Å¾ö²èÁü¤«¤é¤Î¥¨¥Ã¥¸¤ÎÃê½ÐË¡
Ãø¼Ô ¡ýÀаæ Áï, ÇÏ¾ì ¸­¹À, ÌÚ¼ À¿Áï (¿ÀÆàÀ²ÊÂç³Ø¾ðÊó³ØÉô¾ðÊ󹩳زÊ), Åĸý μ (ÅìµþÅÔ»ÔÂç³Ø¹©³ØÉô)
Pagepp. 127 - 130
Keyword º®¹ç»¨²»½üµî, ¥Õ¥¡¥¸¡¼¿äÏÀ, ¥¨¥Ã¥¸Ãê½Ð
Abstract²èÁü½èÍý¤Î½ÅÍפʽèÍý¤Î°ì¤Ä¤È¤·¤Æ¥¨¥Ã¥¸Ãê½Ð½èÍý¤¬¤¢¤ë.¤·¤«¤·¤Ê¤¬¤é,²èÁü¤Ë¥¬¥¦¥¹À­¤ä¥¤¥ó¥Ñ¥ë¥¹À­»¨²»¤¬½Å¾ö¤·¤Æ¤¤¤¿¾ì¹ç,¤½¤Î¥¨¥Ã¥¸Ãê½Ð½èÍý¤Ï¥¨¥Ã¥¸¤À¤±¤Ç¤Ê¤¯»¨²»À®Ê¬¤â°ì½ï¤ËÃê½Ð¤·Îɹ¥¤Ê·ë²Ì¤Ï´üÂԤǤ­¤Ê¤¤.ËܹƤǤϽèÍýÅÀ¤È¶É½êÎΰè¤Î¾ðÊó¤òÍѤ¤,³Æ¼ï¾ðÊó¤ò¥Õ¥¡¥¸¡¼¿äÏÀ¤Ç´ØÏ¢ÉÕ¤±,»¨²»½üµî¤ò¹Ô¤¤¤Ä¤Ä¥¨¥Ã¥¸Ãê½Ð¤ò¹Ô¤¦ÊýË¡¤òÄó°Æ¤¹¤ë.Äó°ÆË¡¤Ï½¾ÍèË¡¤ËÈæ¤Ù½èÍý¤¬´Ê·é¤Ë¤Ê¤Ã¤¿¤Ë¤â´Ø¤ï¤é¤º,¤Û¤ÜƱÅù¤ÎÀ­Ç½¤ò¼¨¤¹¤³¤È¤òÌÀ¤é¤«¤Ë¤·¤¿.

Bd1-2-4 (»þ´Ö: 11:45 - 12:05)
Âê̾¸ûÇÛ¶¯ÅÙ¶á»÷¤ª¤è¤ÓÆó¾è¥Ò¥¹¥È¥°¥é¥à¤Ë¤è¤ë¹â®HOG
Ãø¼Ô ¡ýÅÏÊÕ ½¨Åµ, ¼¾¾ Àµ¸ã, µÆÃÓ µ×Ï (¿·³ãÂç³Ø¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê)
Pagepp. 131 - 136
Keyword HOG, Æó¾è¥Ò¥¹¥È¥°¥é¥à, ¸ûÇÛ¶¯ÅÙ¶á»÷
AbstractËܸ¦µæ¤Ç¤ÏHOG¤Ë´Þ¤Þ¤ì¤ëÊ¿Êýº¬¤Î·×»»¥³¥¹¥È¤òºï¸º¤¹¤ëÊýË¡¤òÄó°Æ¤¹¤ë¡¥HOG¤Ï°ìÈÌʪÂθ¡½Ð¤Ë¤ª¤¤¤ÆÃíÌܤò½¸¤á¤Æ¤ª¤ê¡¤ÁȤ߹þ¤ß¼ÂÁõ¤Î¸¦µæ¤¬¹Ô¤ï¤ì¤Æ¤¤¤ë¡¥ÁȤ߹þ¤ß¼ÂÁõ¤Ë¤ª¤¤¤Æ¤Ï¾ÊÅÅÎÏÀ­Ç½¤¬µá¤á¤é¤ì¤ë¤¿¤á¡¤¥×¥í¥»¥Ã¥µÅù¤ÎÀ­Ç½¤¬À©¸Â¤µ¤ì¤ë¡¥¤·¤¿¤¬¤Ã¤Æ·×»»¥³¥¹¥È¤¬¾¯¤Ê¤¤¥¢¥ë¥´¥ê¥º¥à¤¬µá¤á¤é¤ì¤ë¡¥¤½¤³¤Ç¡¤HOG¤Îµ±ÅÙ¸ûÇۤζ¯Å٤η׻»¤ª¤è¤Ó¥Ò¥¹¥È¥°¥é¥à¤ÎÀµµ¬²½¤Ë¤ª¤±¤ëÊ¿Êýº¬¤Î±é»»¥³¥¹¥È¤òºï¸º¤¹¤ë¤¿¤á¤Î¼êË¡¤òÄó°Æ¡¤À­Ç½É¾²Á¤ò¹Ô¤¦¡¥


¥»¥Ã¥·¥ç¥ó Bd1-3 [ÆÃÊÌ¥»¥Ã¥·¥ç¥ó] ³ØÀ¸¥»¥Ã¥·¥ç¥ó(¥Ç¥£¥¸¥¿¥ë¿®¹æ½èÍý)
Æü»þ: 2010ǯ4·î19Æü(·î) 13:25-14:45
ºÂĹ: Àî¼ ¿· (ÂçºåÂç³Ø Âç³Ø±¡´ðÁù©³Ø¸¦µæ²Ê ¥·¥¹¥Æ¥àÁÏÀ®À칶)

Bd1-3-1 (»þ´Ö: 13:25 - 13:45)
Âê̾²»À¼¤Î¥¹¥Ñ¡¼¥¹À­¤Ë´ð¤Å¤¯Ê£¿ô²»¸»Äê°Ì¤ÎÀ­Ç½²þÁ±
Ãø¼Ô ¡ýÇßÄÅ ¹À»Ë, ´Ø ¹¬É×, À÷ë µ®ÆÁ, Æ«»³ ·ò¿Î (ÅìµþÅŵ¡Âç³Ø¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê)
Pagepp. 137 - 142
Keyword ¥Þ¥¤¥¯¥í¥Û¥ó¥¢¥ì¡¼, ²»¸»Äê°Ì, ¥¹¥Ñ¡¼¥¹À­
AbstractËܸ¦µæ¤Ç¤Ï¡¤²»À¼¤Î¥¹¥Ñ¡¼¥¹À­¤Ë´ð¤Å¤¯2¥Þ¥¤¥¯¥í¥Û¥ó¤Ë¤è¤ëÊ£¿ô²»¸»Äê°Ì¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤¹¤ë¡¥¤³¤ì¤Þ¤Ç¡¤¡Ö»þ´Ö¡Ý¼þÇÈ¿ô¡×Ê¿Ì̾å¤Î¿äÄê·ë²Ì¤Î¿®ÍêÀ­¤òÊ£¿ô¤Î»Øɸ¤òÍѤ¤¤Æɾ²Á¤·¡¤¤½¤Î¿®ÍêÀ­Ê¬ÉÛ¤«¤é¥Þ¥¤¥¯¥í¥Û¥ó¿ô°Ê¾å¤Î²»¸»¤òÄê°Ì¤¹¤ë¼êË¡¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤·¤Æ¤­¤¿¡¥ËܹƤǤϡ¤¥Þ¥¤¥¯¥í¥Û¥ó´Ö³Ö¤ò¹­¤²¡¤¥Þ¥¤¥¯¥í¥Û¥ó¥¢¥ì¡¼¤Î¶õ´Ö²òÁüÅÙ¤ò¸þ¾å¤¹¤ë¤³¤È¤Ë¤è¤Ã¤Æ¿äÄêÀºÅ٤θþ¾å¤ò¿Þ¤ë¡¥¤Þ¤¿¡¤¤½¤ÎºÝ¹â¼þÇÈÂÓ°è¤Ë¤ª¤¤¤ÆȯÀ¸¤¹¤ë¶õ´Ö¥¨¥¤¥ê¥¢¥·¥ó¥°ÌäÂê¤ò²ò·è¤¹¤ë¤¿¤á¤Î»Øɸ¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤¹¤ë¡¥¼Â´Ä¶­¼Â¸³¤Ë¤è¤ê¡¤»ÈÍѤ·¤¿²»¸»Äê°ÌË¡¤Ë°Í¤é¤º¶õ´Ö¥¨¥¤¥ê¥¢¥·¥ó¥°»Øɸ¤¬Í­¸ú¤Ç¤¢¤ë¤³¤È¤ò¼¨¤¹¡¥

Bd1-3-2 (»þ´Ö: 13:45 - 14:05)
Âê̾¹â¼¡¤Î²ÄÊѥǥ£¥¸¥¿¥ë¥Õ¥£¥ë¥¿¤òÍѤ¤¤¿¶¹ÂӰ軨²»½üµî¥·¥¹¥Æ¥à¤Î²þÎÉ
Ãø¼Ô ¡ý·§ËÜ Íµ¼ù, ±ÛÅÄ ½Ó²ð, °¤Éô Àµ±Ñ, ÀîËô À¯À¬ (ÅìËÌÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²ÊÅŻҹ©³ØÀ칶)
Pagepp. 143 - 148
Keyword ¶¹ÂӰ軨²»½üµî, Ŭ±þ¿®¹æ½èÍý, ²ÄÊÑÂÓ°èÁ˻ߥե£¥ë¥¿, ¼þÇÈ¿ôÊÑ´¹, º¹Ê¬ÊýÄø¼°
AbstractËܹƤǤϡ¤¹â¼¡¤Î²ÄÊÑÂÓ°èÁ˻ߥե£¥ë¥¿(Variable Band-Stop Filter: VBSF)¤òÍѤ¤¤¿¶¹ÂӰ軨²»½üµî¥·¥¹¥Æ¥à¤ò²þÎɤ¹¤ë¡¥°ìÈÌŪ¤Ê¹â¼¡¤ÎVBSF¤Î¼Â¸½Ë¡¤Ë´ð¤Å¤¯¶¹ÂӰ軨²»½üµî¥·¥¹¥Æ¥à¤Ç¤Ï¡¤VBSF¤Î¥Õ¥£¥ë¥¿·¸¿ô¤ò¥×¥í¥È¥¿¥¤¥×¥Õ¥£¥ë¥¿¤Î¥Õ¥£¥ë¥¿·¸¿ô¤È²ÄÊѥѥé¥á¡¼¥¿¤Çµ­½Ò¤¹¤ëɬÍפ¬¤¢¤ë¡¥¤³¤Î¤¿¤áŬ±þ¥¢¥ë¥´¥ê¥º¥à¤ÎƳ½Ð¤Ïº¤Æñ¤Ç¤¢¤ë¡¥ËܹƤǤϡ¤VBSF¤ÎÆâÉô¾õÂÖ¤òº¹Ê¬ÊýÄø¼°¤ÇºÆµ¢Åª¤Ëµ­½Ò¤·¡¤Ç¤°Õ¤Î¼¡¿ô¤ÎVBSF¤òÍưפ˼¸½¤¹¤ë¼êË¡¤òÄó°Æ¤¹¤ë¡¥¤½¤·¤Æ¡¤¾åµ­¤ÎÄó°ÆË¡¤òÍѤ¤¤ÆŬ±þ¥¢¥ë¥´¥ê¥º¥à¤ò´Ê·é¤Ê·Á¤ÇƳ½Ð¤¹¤ë¡¥ºÇ¸å¤Ë¡¤·×»»Îã¤Ë¤è¤Ã¤ÆÄó°ÆË¡¤¬¶¹ÂӰ軨²»¤ò½üµî¤Ç¤­¤Æ¤¤¤ë¤³¤È¤È¹â¼¡¤ÎVBSF¤òÍѤ¤¤ëÍ­¸úÀ­¤ò¼¨¤¹¡¥

Bd1-3-3 (»þ´Ö: 14:05 - 14:25)
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Ãø¼Ô ¡ý»°¹¥ ·¼ÂÀ, ±ÛÅÄ ½Ó²ð, °¤Éô Àµ±Ñ, ÀîËô À¯À¬ (ÅìËÌÂç³ØÂç³Ø±¡ ¹©³Ø¸¦µæ²Ê ÅŻҹ©³ØÀ칶)
Pagepp. 149 - 154
Keyword ²ÄÊÑÂÓ°èÄ̲á¥Õ¥£¥ë¥¿, ²ÄÊÑÂÓ°èÁ˻ߥե£¥ë¥¿, ¾õÂÖ¶õ´Öɽ¸½, ¼þÇÈ¿ôÊÑ´¹, Î̻Ҳ½¸íº¹
AbstractËÜÏÀʸ¤Ç¤Ï¡¤¥°¥é¥ß¥¢¥óÊݸ¼þÇÈ¿ôÊÑ´¹¤òÍѤ¤¤¿¹âÀºÅÙ²ÄÊÑÂÓ°èÄ̲ᡦÁ˻ߥե£¥ë¥¿¤Î¼Â¸½Ë¡¤òÄó°Æ¤¹¤ë¡¥Äó°ÆË¡¤Ç¤Ï¡¤ÂÓ°èÄ̲ᡦÁ˻ߥե£¥ë¥¿¤ÎÃæ¿´¼þÇÈ¿ô¤¬²ÄÊѤȤʤ롥¤Þ¤º¡¤¥×¥í¥È¥¿¥¤¥×Äã°èÄ̲á¥Õ¥£¥ë¥¿¤òÊ¿¹Õ·Á¤Ê¤É¤Î¹âÀºÅ٤ι½Â¤¤Ç¼Â¸½¤·¡¤¼¡¤ËÄã°è-ÂÓ°è¤Þ¤¿¤ÏÄã°è-ÂÓ°èÁ˻ߤΥ°¥é¥ß¥¢¥óÊݸ¼þÇÈ¿ôÊÑ´¹¤ò¥×¥í¥È¥¿¥¤¥×¥Õ¥£¥ë¥¿¤ËŬÍѤ¹¤ë¡¥¤³¤ì¤Ë¤è¤ê¡¤¥×¥í¥È¥¿¥¤¥×¥Õ¥£¥ë¥¿¤Î¹âÀºÅÙ¤ò°Ý»ý¤·¤¿²ÄÊÑÂÓ°èÄ̲ᡦÁ˻ߥե£¥ë¥¿¤ò¼Â¸½¤Ç¤­¤ë¡¥¼Â¸½¤µ¤ì¤¿²ÄÊÑÂÓ°èÄ̲ᡦÁ˻ߥե£¥ë¥¿¤Ï¾õÂÖ¶õ´Öɽ¸½¤Ë¤è¤êµ­½Ò¤µ¤ì¡¤²ÄÊѥѥé¥á¡¼¥¿¤ÎÃͤˤè¤é¤º¥Õ¥£¥ë¥¿¤ÎÀºÅ٤ϰìÄê¤Ç¤¢¤ë¡¥

Bd1-3-4 (»þ´Ö: 14:25 - 14:45)
Âê̾Particle Swarm Optimization¤Ë¤è¤ëCSD·¸¿ôFIR¥Õ¥£¥ë¥¿¤ÎÀß·×
Ãø¼Ô ¡ý¾®Ã渶 ¹§, ¹â¶¶ ¿­É×, Æ«»³ ·ò¿Î (ÅìµþÅŵ¡Âç³Ø¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê)
Pagepp. 155 - 160
Keyword FIR¥Õ¥£¥ë¥¿, Paticle Swarm Optimization, º®¹çÀ°¿ô·×²è
AbstractËܸ¦µæ¤Ç¤Ï¡¤Particle Swarm Optimization(PSO)¤òÍѤ¤¤¿CSD·¸¿ôFIR¥Õ¥£¥ë¥¿¤ÎÀ߷פˤĤ¤¤ÆÄó°Æ¤¹¤ë¡¥CSD·¸¿ô¤Ï¥Õ¥£¥ë¥¿·¸¿ô¤Ë´Þ¤Þ¤ì¤ëÈóÎí·å¿ô¤òºï¸º¤Ç¤­¤ëÍ­¸ú¤Êɽ¸½ÊýË¡¤Ç¤¢¤ë¤¬¡¤¤½¤ÎÀß·×ÌäÂê¤Ïº®¹çÀ°¿ô·×²èÌäÂê¤È¤Ê¤ê¡¤À߷פËËÄÂç¤Ê»þ´Ö¤òÍפ¹¤ë¡¥¤½¤³¤ÇËܸ¦µæ¤Ç¤Ï¡¤¶áǯ¡¤ÈóÀþ·Á·×²èÌäÂê¤ËÂФ¹¤ë¥Ò¥å¡¼¥ê¥¹¥Æ¥£¥Ã¥¯²òË¡¤È¤·¤ÆÃíÌܤµ¤ì¤Æ¤¤¤ëPSO¤òÍѤ¤¤¿Àß·×Ë¡¤òÄó°Æ¤¹¤ë¡¥Àß·×Îã¤Ë¤è¤Ã¤Æ¡¤Äó°ÆË¡¤¬Ê¬»Þ¸ÂÄêË¡¤òÍѤ¤¤Æ»»½Ð¤·¤¿ºÇŬ²ò¤Ë¶á¤¤²ò¤ò¹â®¤Ë»»½Ð²Äǽ¤Ç¤¢¤ë¤³¤È¤ò¼¨¤¹¡¥


¥»¥Ã¥·¥ç¥ó Bd1-4 [¾·ÂÔ¹Ö±é]
Æü»þ: 2010ǯ4·î19Æü(·î) 15:15-16:55
ºÂĹ: °ËÆ£ ¹¯°ì (ÅìËÌÂç³ØÂç³Ø±¡¾ðÊó²Ê³Ø¸¦µæ²Ê)

Bd1-4-1 (»þ´Ö: 15:15 - 16:05)
Âê̾(¾·ÂÔ) ¥ª¥ó¥Ç¥Þ¥ó¥É¥Ð¥¤¥ª¥á¥È¥ê¥Ã¥¯¥¹Ç§¾Ú
Ãø¼Ô ¡ûÃæÀ¾ ¸ù (Ä»¼èÂç³ØÂç³Ø±¡)
Pagepp. 161 - 166
Keyword ¥Ð¥¤¥ª¥á¥È¥ê¥Ã¥¯¥¹, ¥ª¥ó¥Ç¥Þ¥ó¥Éǧ¾Ú, ǾÇÈ, ¿ÍÂÎÅÁÈ¿®¹æ
AbstractÍøÍѼԴÉÍý¤ò¹Í¤¨¤ë¤È°ìÅÙ¤­¤ê¤Îǧ¾Ú¤Ç¤Ï¥»¥­¥å¥ê¥Æ¥£À­¤ÏÈó¾ï¤ËÄ㤤¤¿¤á¡¤É¬Íפʺݤˡʥª¥ó¥Ç¥Þ¥ó¥É¡Ëǧ¾Ú¤ò¹Ô¤¦É¬Íפ¬¤¢¤ë¡¥¤½¤ì¤Ë¤ÏÆó¤Ä¤Î¥¢¥×¥í¡¼¥Á¤¬¹Í¤¨¤é¤ì¡¤°ì¤Ä¤Ï¡¤À¸ÂξðÊó¤ò̵°Õ¼±¤ËÄ󼨤Ǥ­¤ë¥Ð¥¤¥ª¥á¥È¥ê¥Ã¥¯¥¹¤òÁª¤Ö¤³¤È¡¤¤â¤¦°ì¤Ä¤Ï¡¥°®¤ë¤ä¿¨¤ë¤È¤¤¤Ã¤¿·Ñ³¤·¤¿Æ°ºî¤òÍøÍѤ¹¤ë¥Ð¥¤¥ª¥á¥È¥ê¥Ã¥¯¥¹¤òÍѤ¤¤ë¤³¤È¤Ç¤¢¤ë¡¥ËÜÏÀʸ¤Ç¤Ï¡¤Á°¼Ô¤ÎÎã¤È¤·¤ÆǾÇÈ¡¤¸å¼Ô¤ÎÎã¤È¤·¤Æ¿ÍÂÎÅÁÈ¿®¹æ¤ò¼è¤ê¾å¤²É®¼Ô¤é¤Î¥°¥ë¡¼¥×¤Î¤³¤ì¤Þ¤Ç¤Î¸¦µæ¤ÎÀ®²Ì¤ò¾Ò²ð¤¹¤ë¡¥

Bd1-4-2 (»þ´Ö: 16:05 - 16:55)
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Pagepp. 167 - 172
Keyword 2¼¡¸µ¥Ð¡¼¥³¡¼¥É, ÅÅ»ÒÆ©¤«¤·, ·ÈÂÓüËö, ¾ðÊóËä¤á¹þ¤ß, °õºþ²èÁü
Abstract°õºþʪ¤«¤é¥¤¥ó¥¿¡¼¥Í¥Ã¥È¾å¤Î¥Ç¡¼¥¿¤Ø¥¢¥¯¥»¥¹¤¹¤ë¼êÃʤȤ·¤Æ¡¤2¼¡¸µ¥Ð¡¼¥³¡¼¥É¤ÎÍøÍѤ¬°ìÈÌŪ¤Ë¤Ê¤Ã¤Æ¤¤¤ë¡¥¤³¤ì¤òÂåÂؤ¹¤ë¤¿¤á¤Ë¡¤ÅÅ»ÒÆ©¤«¤·¤Îµ»½Ñ¤ò±þÍѤ·¤Æ¡¤¼«Á³²èÁü¤Ë¥Ç¡¼¥¿¤òËä¤á¹þ¤ß°õºþ¤·¡¤·ÈÂÓÅÅÏäΥ«¥á¥é¤Ê¤É¤ÎÆþÎϥǥХ¤¥¹¤òÍѤ¤¤Æ²èÁü¤òÆɤ߹þ¤ß¡¤Ëä¤á¹þ¤Þ¤ì¤¿¥Ç¡¼¥¿¤òÃê½Ð¤¹¤ë¼êË¡¤¬¸¡Æ¤¤µ¤ì¤Æ¤¤¤ë¡¥ËܹƤǤϡ¤¤³¤Î¤è¤¦¤Ê¾ðÊóÅÁã¤Î¤¿¤á¤ÎÅÅ»ÒÆ©¤«¤·µ»½Ñ¡¤Æä˷ÈÂÓüËö¤ÎÍøÍѤò°Õ¼±¤·¤¿°õºþ²èÁü¤Ø¤Î¾ðÊóËä¤á¹þ¤ßµ»½Ñ¤Ë¤Ä¤¤¤Æ¡¤¤½¤Î³µÍפȤ¤¤¯¤Ä¤«¤Î¼êË¡¤Ë¤Ä¤¤¤Æ²òÀâ¤ò¹Ô¤¦¡¥³µÍפǤϥ·¥¹¥Æ¥à¤Î¥â¥Ç¥ë¤Èα°ÕÅÀ¡¤¥¢¥ë¥´¥ê¥º¥à¾å¤Î¹Íθ¤¹¤Ù¤­ÅÀ¤Ë¤Ä¤¤¤Æ½Ò¤Ù¡¤¼êË¡¤Î¾Ò²ð¤Ç¤Ï²èÁÇÎΰè¤È¼þÇÈ¿ôÎΰè¤òÍøÍѤ¹¤ëÊýË¡¤ò¤½¤ì¤¾¤ìÀâÌÀ¤¹¤ë¡¥


¥»¥Ã¥·¥ç¥ó C1-2 [ÆÃÊÌ¥»¥Ã¥·¥ç¥ó] Æ°ºî¹çÀ®¡¦¹â°Ì¹çÀ®(1)
Æü»þ: 2010ǯ4·î19Æü(·î) 10:45-12:00
ºÂĹ: »³ÅÄ ¹¸µ× (¥·¥ã¡¼¥×³ô¼°²ñ¼Ò)

C1-2-1 (»þ´Ö: 10:45 - 11:10)
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Pagepp. 173 - 178
Keyword ¥á¥â¥ê¥¢¥¯¥»¥¹, ¥ª¥ó¥Á¥Ã¥×¥á¥â¥ê, ¥¢¡¼¥­¥Æ¥¯¥Á¥ãÀß·×, ¥·¥¹¥Æ¥àLSI
Abstract¥·¥¹¥Æ¥àLSI¤Ï³Æ¼ïÅŻҵ¡´ï¤Ë¹­¤¯ÍøÍѤµ¤ì¡¢Ç¯¡¹Ê£»¨²½¡¦¹âÅÙ²½¤¬¿Ê¤ß¡¢Àß·×¤Î´íµ¡¤È¸À¤ï¤ì¤Æ¤¤¤ë¡£Æäˡ¢µÞ·ã¤ËÊ£»¨¡¦¹âÅÙ²½¤¹¤ë³Æ¼ï¥¢¥×¥ê¥±¡¼¥·¥ç¥ó¤ÏÂ絬ÌϤʥá¥â¥ê¤ä¥Ç¡¼¥¿¤ò¹â®¤Ë¥¢¥¯¥»¥¹¤¹¤ë¤³¤È¤¬Â¿¤¯¡¢¥á¥â¥ê¥¢¥¯¥»¥¹Éô¤Î¥¢¡¼¥­¥Æ¥¯¥Á¥ãÀ߷פ¬½ÅÍײÝÂê¤È¤Ê¤Ã¤Æ¤¤¤ë¡£ ËÜʸ¤Ç¤Ï¡¢¤³¤ÎÅÀ¤ËÃíÌܤ·¡¢¥Ï¡¼¥É¥¦¥¨¥¢¤Ë¤ª¤±¤ë¥á¥â¥ê¥¢¥¯¥»¥¹ÊýË¡¤Ë¨¤·¤¿3¼ïÎà¤Î¥¢¡¼¥­¥Æ¥¯¥Á¥ã¼«Æ°ºÇŬ²½¼êË¡(ñÊÑ¿ô¤ËÂФ¹¤ë¥ì¥¸¥¹¥¿²½¡¢¥ª¥ó¥Á¥Ã¥×¤Ø¤Î¥Ç¡¼¥¿³ÊǼ¤Î¥Ñ¥¤¥×¥é¥¤¥ó²½¡¢¥ë¡¼¥×¹½Â¤¤ò»ý¤Ä¥á¥â¥ê¥¢¥¯¥»¥¹¤ËÂФ¹¤ë¥ª¥ó¥Á¥Ã¥×ÇÛÎó²½)¤òÄó°Æ¤·¡¢¤³¤ì¤é¤òÅý¹ç¤·¤¿¥á¥â¥ê¥¢¥¯¥»¥¹¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤ò¼ÂºÝ¤Ë²óÏ©¤ËŬÍѤ·¡¢¤½¤ÎÍ­¸úÀ­¤ò³Îǧ¤¹¤ë¡£

C1-2-2 (»þ´Ö: 11:10 - 11:55)
Âê̾(¾·ÂÔ) LSI³«È¯¤Ë¤ª¤±¤ë¹â°Ì¹çÀ®¤Î¼ÂÍѲ½¤Î²ÝÂê¤ÈŬÍÑ»öÎã
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Pagepp. 179 - 184
Keyword ¹â°Ì¹çÀ®, Æ°ºî¹çÀ®, ESL, ¥·¥¹¥Æ¥àLSI, SoC
AbstractȾƳÂÎ¥×¥í¥»¥¹ÈùºÙ²½¤Î¿Ê²½¤Ëȼ¤¤¡¢LSI¤ÎÀß·×À¸»ºÀ­¤Î´íµ¡¤¬»ØŦ¤µ¤ì¤Æµ×¤·¤¤¡£À¸»ºÀ­¤ò¸þ¾å¤¹¤ë¼êÃʤȤ·¤Æ¹â°Ì¹çÀ®µ»½Ñ¤¬Äó°Æ¤µ¤ì¤Æ¤ª¤ê¡¢¤½¤ÎÅо줫¤é10ǯ¤Á¤«¤¯·Ð²á¤·¤Æ¤¤¤ë¤¬¡¢Åö½é¤Î´üÂÔ¤Û¤ÉÉáµÚ¤·¤Æ¤¤¤ë¤È¤Ï¸À¤¤Æñ¤¤¡£ËܹƤǤϡ¢LSI³«È¯¥¨¥ó¥¸¥Ë¥¢¤Î»ëÅÀ¤«¤é¡¢¹â°Ì¹çÀ®µ»½Ñ¤¬À½Éʤγ«È¯¸½¾ì¤ÇŬÍѤ¬¿Ê¤ß¤Ë¤¯¤¤Íýͳ¤Ë¤Ä¤¤¤Æ¡¢¥ê¥¹¥¯¤äŬÍѸú²Ì¤Î´ÑÅÀ¤«¤éʬÀϤò¹Ô¤¦¡£¤Þ¤¿¡¢¥ê¥¹¥¯¤ò²óÈò¤·¤ÆÀ½ÉÊŬÍѤËÀ®¸ù¤·¤¿»öÎã¤Ë¤Ä¤¤¤Æ¾Ò²ð¤¹¤ë¡£


¥»¥Ã¥·¥ç¥ó C1-3 [ÆÃÊÌ¥»¥Ã¥·¥ç¥ó] Æ°ºî¹çÀ®¡¦¹â°Ì¹çÀ®(2)
Æü»þ: 2010ǯ4·î19Æü(·î) 13:30-14:45
ºÂĹ: ¹â¶¶ ÆÆ»Ê (ÂçºåÂç³Ø)

C1-3-1 (»þ´Ö: 13:30 - 13:55)
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Pagepp. 185 - 190
Keyword ¹â°Ì¹çÀ®, À°¿ô·×²èË¡
AbstractLSIÀ߷פˤª¤±¤ë¹â°Ì¹çÀ®¤Ç¤Ï¡¤ÆþÎϤȤ·¤Æ·×»»¥¢¥ë¥´¥ê¥º¥à¤ò¼õ¤±¼è¤ê¡¤À©¸æ¥¹¥±¥¸¥å¡¼¥ê¥ó¥°¡¤±é»»´ï³ä¤êÅö¤Æ¡¤¥ì¥¸¥¹¥¿³ä¤êÅö¤Æ¤Î»°¤Ä¤Î¥¿¥¹¥¯¤ò¹Ô¤¦¡¥¤³¤ì¤Þ¤Ç¡¤¤³¤ì¤é¤Î¥¿¥¹¥¯¤òÃʳ¬Åª¤Ë¹Ô¤¦¼êË¡¤äÆó¤Ä¤Î¥¿¥¹¥¯¤òƱ»þ¤Ë¹Ô¤¦¼êË¡¤¬Äó°Æ¤µ¤ì¤Æ¤¤¤ë¤¬¡¤¤³¤¦¤·¤¿½ç¼¡ºÇŬ²½¤Ç¤Ï¡¤²ò¤ÎºÇŬÀ­¤òÊݾڤǤ­¤º¡¤¤Þ¤¿¡¤È¯¸«Åª¼êË¡¤È¤·¤Æ¤ÎÂÅÅöÀ­¤âÛ£Ëæ¤Ç¤¢¤ë¡¥ËܹƤǤϡ¤À°¿ô·×²èÌäÂê¤È¤·¤ÆÄê¼°²½¤¹¤ë¤³¤È¤Ë¤è¤ê¡¤¹â°Ì¹çÀ®¤Ë¤ª¤±¤ë»°¤Ä¤Î¥¿¥¹¥¯¤òƱ»þ¤ËºÇŬ²½¤¹¤ë¼êË¡¤òÄó°Æ¤¹¤ë¡¥¤³¤¦¤·¤ÆÆÀ¤é¤ì¤ëÀ°¿ô·×²èÌäÂê¤ËÂФ·¤Æ¡¤·×»»Î̤δÑÅÀ¤«¤é¸·Ì©²ò¤òµá¤á¤ë¤³¤È¤ÏÆñ¤·¤¤¤ÈͽÁÛ¤µ¤ì¤ë¤¬¡¤½¾Íè¤ÎÏÈÁȤߤˤȤé¤ï¤ì¤Ê¤¤¿·¤·¤¤È¯¸«Åª¼êË¡¤Ø¤Î­¤¬¤«¤ê¤òÄ󶡤Ǥ­ ¤ë¤È´üÂÔ¤µ¤ì¤ë¡¥

C1-3-2 (»þ´Ö: 13:55 - 14:40)
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Ãø¼Ô ¡û¾¾±Ê ͵²ð (¶å½£Âç³Ø)
Pagepp. 191 - 196
Keyword ¹â°Ì¹çÀ®, ºÇŬ²½, ¥¹¥±¥¸¥å¡¼¥ê¥ó¥°, ¥¢¥í¥±¡¼¥·¥ç¥ó, ¥Ñ¥¤¥×¥é¥¤¥ó
Abstract¹â°Ì¹çÀ®¤È¤Ï¡¤Æ°ºîµ­½Ò¤«¤é¥ì¥¸¥¹¥¿Å¾Á÷¥ì¥Ù¥ë¤Î²óÏ©¤ò¼«Æ°À¸À®¤¹¤ë½èÍý¤Ç¤¢¤ê¡¤±é»»¤ò¤¤¤Ä¼Â¹Ô¤¹¤ë¤Î¤«(¥¹¥±¥¸¥å¡¼¥ê¥ó¥°)¡¤ ¤É¤Î¤è¤¦¤Ê±é»»´ï¤ò»ÈÍѤ¹¤ë¤Î¤«(¥¢¥í¥±¡¼¥·¥ç¥ó)¡¤ ¤É¤Î±é»»´ï¤ä¥ì¥¸¥¹¥¿¤Ë±é»»¤äÊÑ¿ô¤ò³ä¤êÅö¤Æ¤ë¤Î¤«(¥Ð¥¤¥ó¥Ç¥£¥ó¥°)¡¤ ¤È¤¤¤Ã¤¿»ÒÌäÂê¤òƱ»þ¤Ë¤¢¤ë¤¤¤ÏÃ༡Ū¤Ë²ò¤¯É¬Íפ¬¤¢¤ë¡¥ °ìÈ̤ˤ³¤ì¤é¤ÎÌäÂê¤ò¸·Ì©¤Ë²ò¤¯¤³¤È¤ÏÆñ¤·¤¯¡¤ ¿¤¯¤Î¾ì¹ç¤Ï¥Ò¥å¡¼¥ê¥¹¥Æ¥£¥Ã¥¯¤òÍѤ¤¤¿¶á»÷¼êË¡¤¬ÍѤ¤¤é¤ì¤ë¡¥ ËܹƤǤϡ¤¸ÅŵŪ¤Ç¤Ï¤Ê¤¤¹â°Ì¹çÀ®¤ÎºÇŬ²½¼êË¡¤È¤·¤Æ¡¤2¤Ä¤Î¼êË¡¤ò¾Ò²ð¤¹¤ë¡£


¥»¥Ã¥·¥ç¥ó C1-4 ¹â¿®ÍêÀß·×
Æü»þ: 2010ǯ4·î19Æü(·î) 15:00-15:50
ºÂĹ: ¶¶ËÜ ¾»µ¹ (ÂçºåÂç³Ø)

C1-4-1 (»þ´Ö: 15:00 - 15:25)
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Pagepp. 197 - 202
Keyword RSA°Å¹æ, ¥¹¥­¥ã¥ó¥Ù¡¼¥¹¹¶·â, ¥¹¥­¥ã¥ó¥Ñ¥¹
AbstractËܹƤǤÏRSA°Å¹æ¤ËÂФ¹¤ë¥¹¥­¥ã¥ó¥Ù¡¼¥¹¹¶·â¤Ë¤Ä¤¤¤Æ¸¦µæ¤·¤¿¡¥ Äó°Æ¼êË¡¤Ë¤è¤êRSA°Å¹æ¤ò½èÍý¤·¤Æ¤¤¤ë´Ö¤Î¥¹¥­¥ã¥ó¥Ç¡¼¥¿¤ò¼èÆÀ¡¦²òÀϤ¹¤ë¤³¤È¤Ç ¸°Ä¹1,024¥Ó¥Ã¥È»þ¤¿¤«¤À¤«30¸Ä¡¤¸°Ä¹2,048¥Ó¥Ã¥È»þ¤¿¤«¤À¤«35¸Ä¤ÎÆþÎÏ¤Ç ÈëÌ©¸°¤ò²òÆɤ¹¤ë¤³¤È¤ËÀ®¸ù¤·¤¿¡¥

C1-4-2 (»þ´Ö: 15:25 - 15:50)
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Pagepp. 203 - 208
Keyword SRAM, Êâα, ¥Ð¥é¥Ä¥­, ±þÅú¶ÉÌÌ, ¿¹à¼°
Abstract²æ¡¹¤Ï¥¢¥×¥ê¥±¡¼¥·¥ç¥ó¸ÇÍ­¤ÎʪÍý¾ðÊó¤òÍѤ¤¤Æ¥â¥Ç¥ë²½¤ò¹Ô¤¦¼êË¡[1]¤òÄó°Æ¤·¤¿¡£Äó°Æ¼êË¡¤Ç¤Ï¼Â¹ÔºÑ¤Î¾ò·ï¤Î°Û¤Ê¤ë¿¿ô¤Î¥·¥ß¥å¥ì¡¼¥·¥ç¥ó·ë²Ì¤«¤é¥¢¥×¥ê¸ÇÍ­¾ðÊó¤òÃê½Ð¤·¡¢¥â¥Ç¥ëÀ¸À®»þ¤Ë¡¢¤½¤Î¾ðÊó¤òÍѤ¤¤ÆÀºÅÙ¸þ¾å¡¢¹â®²½¤ò¼Â¸½¤·¤Æ¤¤¤ë¡£SRAM¤ÎÊâα·×»»¤Ø¤Î±þÍѤǤϡ¢¥â¥Ç¥ë¤òÍѤ¤¤Ê¤¤½¾ÍèË¡¤ÈÈæ¤Ù700ÇÜ¡¢¥â¥Ç¥ë¤òÍѤ¤¤¿½¾ÍèË¡¤ÈÈæ¤Ù¤Æ¤â10Çܤι⮲½¤òãÀ®¤·¤Æ¤¤¤ë¡£ËÜÏÀʬ¤Ç¤Ï¿·¤¿¤ËÄó°Æ¼êË¡¤ÎÀºÅÙ¸þ¾å¤Î¸ú²Ì¤ò¤è¤ê¾Ü¤·¤¯Ê¬ÀϤ·¤¿·ë²Ì¤ò¼¨¤¹¡£Äó°ÆË¡¤Ç¤Ï¡¢ÀºÅÙ¸þ¾å¸ú²Ì¤Î¹â¤¤Îΰè¤Ë¹Ê¤Ã¤ÆȯÀ¸¤·¤¿¾¯¤Ê¤¤¥µ¥ó¥×¥ë¤Ç¹â¼¡À®Ê¬¤ò»ý¤Ã¤¿¥â¥Ç¥ë¤ò°ÂÄêŪ¤ËÀ¸À®¤Ç¤­¤Æ¤ª¤ê¡¢¤½¤ì¤¬°ìÉô¤Î¥â¥Ç¥ë²½¤·¤Ë¤¯¤¤¥µ¥ó¥×¥ë¤ÎÀºÅÙ¸þ¾å¤Ë´óÍ¿¤·¤Æ¤¤¤ë¤³¤È¤ò¼¨¤¹¡£


¥»¥Ã¥·¥ç¥ó D1-1 ¥¹¥±¥¸¥å¡¼¥ê¥ó¥°
Æü»þ: 2010ǯ4·î19Æü(·î) 9:00-10:00
ºÂĹ: »³Ãæ ¹îµ× (Åŵ¤ÄÌ¿®Âç³Ø Âç³Ø±¡¾ðÊó¥·¥¹¥Æ¥à³Ø¸¦µæ²Ê)

D1-1-1 (»þ´Ö: 9:00 - 9:30)
Âê̾ͭ¸þÊÄÏ©·¿Áö¹Ô·ÐÏ©¤òÍѤ¤¤¿AGV¥·¥¹¥Æ¥à¤Ë¤ª¤±¤ëÁí°ÜÆ°µ÷Î¥¤òºÇ¾®²½¤¹¤ëÍðÂò¥ª¥ó¥é¥¤¥ó¥¢¥ë¥´¥ê¥º¥à¤Î¶¥¹çÈæ²òÀÏ
Ãø¼Ô ¡ý¾®Àô ¸­»Ê (Ë­¶¶µ»½Ñ²Ê³ØÂç³Ø ÅŻҡ¦¾ðÊ󹩳ØÀ칶), Áý»³ ÈË (Ë­¶¶µ»½Ñ²Ê³ØÂç³Ø Ãμ±¾ðÊ󹩳طÏ)
Pagepp. 209 - 214
Keyword AGV¥·¥¹¥Æ¥à, ¥ª¥ó¥é¥¤¥ó¥¢¥ë¥´¥ê¥º¥à, ¶¥¹çÈæ²òÀÏ, ¥Þ¥ë¥³¥Õ²áÄø, ÍðÂò¥¢¥ë¥´¥ê¥º¥à
AbstractËܸ¦µæ¤Ï¡¤AGV¤ÎÆ°ºî¤òÃæ±û½èÍýÁõÃÖ¤¬´ÉÍý¤¹¤ëAGV¥·¥¹¥Æ¥à¤Ë¤ª¤¤¤Æ¡¤¥ª¥ó¥é¥¤¥ó¥â¥Ç¥ë¤Ë¤ª¤±¤ë¡¤Á´AGV¤Î°ÜÆ°µ÷Î¥¤ÎÁíÏÂ(Áí°ÜÆ°µ÷Î¥)¤ÎºÇ¾®²½¤òÌÜŪ¤È¤·¤¿ÈÂÁ÷¥¹¥±¥¸¥å¡¼¥ê¥ó¥°¤ò¹Ô¤¦¥ª¥ó¥é¥¤¥ó¥¢¥ë¥´¥ê¥º¥à¤òÄó°Æ¤¹¤ë¡¥AGV¥·¥¹¥Æ¥à¤ÇÍѤ¤¤ëÁö¹Ô·ÐÏ©·Á¾õ¤òÍ­¸þÊÄÏ©·¿¤Ë¸ÂÄꤷ¡¤ÈÂÁ÷¤ò¹Ô¤¦¤«Èݤ«¤ò³ÎΨ¤òÍѤ¤¤Æ·èÄꤹ¤ëÍðÂò¥ª¥ó¥é¥¤¥ó¥¢¥ë¥´¥ê¥º¥à¤òÄó°Æ¤¹¤ë¡¥¤Þ¤¿¡¤Äó°Æ¤¹¤ëÍðÂò¥ª¥ó¥é¥¤¥ó¥¢¥ë¥´¥ê¥º¥à¤ÎÍýÏÀŪ¤ÊÀ­Ç½É¾²Á¤ò¶¥¹çÈæ²òÀϤˤè¤ê¹Ô¤¦¡¥¶¥¹çÈæ²òÀϤˤª¤¤¤Æ¤Ï¡¤¤Þ¤º¡¤°ìÉô¤Î²òÀϲáÄø¤ò¡¤AGV ¥·¥¹¥Æ¥àÆâ¤ÎAGV¿ô¤ò°ìÈ̤Îk¤È¤·¤¿¾ì¹ç¤Ë¤Ä¤¤¤Æµ­½Ò¤·¡¤¶ñÂÎŪ¤Ë¶¥¹çÈæ¤òƳ½Ð¤¹¤ëºÝ¤ÏAGV ¿ô¤ò2Âæ¤Ë¸ÇÄꤷ¤Æ²òÀϤò¹Ô¤Ã¤¿¡¥

D1-1-2 (»þ´Ö: 9:30 - 10:00)
Âê̾¥«¥ó¥Õ¥¡¥ì¥ó¥¹¥×¥í¥°¥é¥à¤Î¼«Æ°ÊÔÀ®¤Ë¤Ä¤¤¤Æ
Ãø¼Ô Ȫ ¼éÇ·, ¡ûÅIJ¬ ÃÒ»Ö, ÅÏîµ ÉÒÀµ (¹­ÅçÂç³ØÂç³Ø±¡)
Pagepp. 215 - 220
Abstract¥«¥ó¥Õ¥¡¥ì¥ó¥¹¤È¤Ï³Ø½ÑŪ¤Ê¸¦µæȯɽ²ñ¤ä¹ñºÝ²ñµÄ¤Ê¤É¤ÎÁí¾Î¤Ç¤¢¤ê¡¤¼Â»Ü¤Þ¤Ç ¤Ë¿¤¯¤Î¥×¥í¥»¥¹¤ò·Ð¤ë¡¥¤½¤ÎºÝ¡¤¿ô½½·ï¤«¤é¿ôÀé·ï¤ÎÅê¹ÆÏÀʸ¤ò°·¤¦¤¿¤á¡¤¥»¥Ã ¥·¥ç¥ó¥¹¥±¥¸¥å¡¼¥ê¥ó¥°¤Ë¤â¿¤¯¤ÎÏ«ÎϤȻþ´Ö¤¬¤«¤«¤ë¡¥¥»¥Ã¥·¥ç¥ó¥¹¥±¥¸¥å¡¼ ¥ê¥ó¥°¤Ï¡¤Áȹ礻Ū¤ÊÀ©Ìó¾ò·ï¡ÊƱ¤¸»þ´ÖÂӤǤÎÃø¼Ô/ºÂĹ¤Î½ÅÊ£¤Î¶Ø»ßÅù¡Ë¤ò Ëþ¤¿¤·¤Ä¤Äɾ²ÁÃͤòºÇŬ²½¤¹¤ëÁȹ礻ºÇŬ²½ÌäÂê¤Î°ì¼ï¤Ç¤¢¤ê¡¤NP-º¤Æñ¤Ç¤¢¤ë¡¥ ¥»¥Ã¥·¥ç¥ó¥¹¥±¥¸¥å¡¼¥ê¥ó¥°¤Ë¤ª¤±¤ëÀ©Ìó¾ò·ï¤Ï¿ô¿¤¯Â¸ºß¤·¡¤¤³¤ì¤é¤ÎÀ©Ìó¤ò ¤Ê¤ë¤Ù¤¯Â¿¤¯Ëþ¤¿¤¹¥×¥í¥°¥é¥à (ȯɽ»þ´Ö³äɽ) ¤òµá¤á¤ëɬÍפ¬¤¢¤ë¡¥Ëܸ¦µæ¤Ç ¤Ï¡¤Áȹ礻ºÇŬ²½ÌäÂê¤ËÂФ¹¤ëȯ¸«Åª²òË¡¤È¤·¤ÆÃΤé¤ì¤Æ¤¤¤ë¶á˵õº÷Ë¡¡¤»³ÅÐ ¤êË¡¤òÍøÍѤ·¤¿È¯¸«Åª²òË¡¤òÄó°Æ¤·¡¤·×»»µ¡¼Â¸³¤Ë¤è¤ê¤½¤ÎÍ­ÍÑÀ­¤ò¼¨¤¹¡¥²Ã¤¨ ¤Æ¥»¥Ã¥·¥ç¥ó¥¹¥±¥¸¥å¡¼¥ê¥ó¥°¤Ë´Ø¤¹¤ë¤µ¤Þ¤¶¤Þ¤ÊÌäÂê²ò·è¤ò»Ù±ç¤¹¤ë¤¿¤á¤Î¼Â Áõµ¡Ç½¤â¾Ò²ð¤¹¤ë¡¥


¥»¥Ã¥·¥ç¥ó D1-2 ¥¢¥ë¥´¥ê¥º¥àÏÀ
Æü»þ: 2010ǯ4·î19Æü(·î) 10:30-11:30
ºÂĹ: ÁêÅÄ ¿µ (Ë­¶¶µ»½Ñ²Ê³ØÂç³Ø Ãμ±¾ðÊ󹩳طÏ)

D1-2-1 (»þ´Ö: 10:30 - 11:00)
Âê̾µÕõº÷¤Ë´ð¤Å¤¯ p6 ¥¿¥¤¥ê¥ó¥°¤ÎÀ¸À®
Ãø¼Ô ¡ý»³º¬ ¾Í¸ç, ËÙ»³ µ®»Ë (ºë¶ÌÂç³Ø Íý¹©³Ø¸¦µæ²Ê)
Pagepp. 221 - 226
Keyword µÕõº÷Ë¡, ¥¿¥¤¥ê¥ó¥°, polyiamond, ²óžÂоÎ, Îóµó¥¢¥ë¥´¥ê¥º¥à
AbstractPolyiamond¤Ïñ°ÌÀµ»°³Ñ·Á¤òÊÕƱ»Î¤¬Àܳ¤¹¤ë¤è¤¦¤Ë ÁȤ߹ç¤ï¤»¤Æ¤Ç¤­¤ë¿Þ·Á¤Ç¤¢¤ë¡£ËܹƤǤϡ¢2¤Ä¤Î²óž Ãæ¿´¤Ë¤è¤ê¡¢60ÅÙ²óž¤È120ÅÙ²óž¤ò·«¤êÊÖ¤¹¤³¤È¤Ç Ê¿Ì̤ò·ä´Ö¤â¤Ê¤¯¡¢½Å¤Ê¤ê¤â¤Ê¤¯¡¢Ê¿Ì̤ËÉߤ­µÍ¤á ¤é¤ì¤ë p6 ¥¿¥¤¥ê¥ó¥°²Äǽ¤Ê polyiamond ¤ÎÀ¸À®Ë¡¤Ë ¤Ä¤¤¤Æ½Ò¤Ù¤ë¡£½¾ÍèË¡¤Ç¤Ï»î¹Ôºø¸í¤Ë¤è¤ê¿Þ·Á¤òÀ¸À® ¤¹¤ë¤¬¡¢ËܹƤÇÄó°Æ¤¹¤ë¥¢¥ë¥´¥ê¥º¥à¤ÏµÕõº÷¤òÍøÍѤ·¡¢ ¥ë¡¼¥ë¤Ë½¾¤¤¿Þ·Á¤ÎÀ¸À®¤ò¹Ô¤¦¡£9¸Ä¤Îñ°ÌÀµ»°³Ñ·Á¤Ë ¤è¤ë 29¼ïÎà¤Î¿Þ·Á¤Þ¤Ç¤òÀ¸À®¤·¤¿½¾ÍèË¡¤ËÂФ·¡¢Äó°Æ ¼êË¡¤Ç¤Ï 21¸Ä¤Îñ°ÌÀµ»°³Ñ·Á¤Ë¤è¤ë 27,436¼ïÎà¤È Í­°Õ¤Ë¿¼ï¤Î¿Þ·Á¤òÀ¸À®¤¹¤ë¤³¤È¤ËÀ®¸ù¤·¤¿¡£

D1-2-2 (»þ´Ö: 11:00 - 11:30)
Âê̾8ÌÌ¡¤20ÌÌ¥À¥¤¥¹¤òÍѤ¤¤¿Rolling Dice Puzzle¤ÎNP´°Á´À­
Ãø¼Ô ¡ý¾åÅè ¾Ï¹¨ (ÂçºåÅŵ¤ÄÌ¿®Âç³ØÂç³Ø±¡ ¹©³Ø¸¦µæ²Ê ¾ðÊ󹩳ØÀ칶), ²¬ÅÄ µ®Íµ (Æü¿·¥·¥¹¥Æ¥à¥º)
Pagepp. 227 - 232
Keyword ·×»»ÎÌÍýÏÀ, NP´°Á´, Rolling Cube Puzzle, ÀµÂ¿ÌÌÂÎ
AbstractËܸ¦µæ¤Ç¤Ï¡¤´û¸¤ÎRolling Cube Puzzle¤ò°ìÈ̲½¤·¤¿Rolling Dice Puzzle¤òÄó°Æ¤·¡¤8ÌÌ¡¤20ÌÌ¥À¥¤¥¹¤òÍѤ¤¤¿Rolling Dice Puzzle¤Î·×»»Ê£»¨¤µ¤òµÄÏÀ¤¹¤ë¡¥ËÜÌäÂê¤Ï¡¤È×Ì̾å¤Ëµ­ºÜ¤µ¤ì¤¿°ÜÆ°µ¬Â§¤Ë½¾¤¤¥À¥¤¥¹¤ò²óž¤µ¤»¡¤Ãæ·ÑÅÀ¤´¤È¤Ë»ØÄꤵ¤ì¤ë¾õÂÖ¤ËÁ«°Ü¤·¤Ê¤¬¤é¡¤Á´¤Æ¤ÎÃæ·ÑÅÀ¤òÄ̲᤹¤ë·ÐÏ©¤òõº÷¤¹¤ëÌäÂê¤Ç¤¢¤ë¡¥ÀµÂ¿ÌÌÂÎ¥À¥¤¥¹¤Ë¸ÂÄꤷ¤¿¾ì¹ç¡¤Ä̾ï¤Î6ÌÌ¥À¥¤¥¹¤òÍѤ¤¤ëÌäÂê¤ÎNP´°Á´À­¤Ï¤¹¤Ç¤Ë¾ÚÌÀ¤µ¤ì¤Æ¤ª¤ê¡¤Ëܸ¦µæ¤Ç°·¤¦2ÌäÂê¤Î¤ß¤¬Ì¤²ò·è¤Ç¤¢¤Ã¤¿¡¥ËܹƤǤϡ¤¥Ï¥ß¥ë¥È¥ó¥Ñ¥¹¡¦ÊÄÏ©ÌäÂ꤫¤é¤Î¿¹à¼°»þ´Ö´Ô¸µ¤ò¼¨¤¹¤³¤È¤Ç¡¤Î¾ÌäÂê¤ÎNP´°Á´À­¤ò¼¨¤¹¡¥


¥»¥Ã¥·¥ç¥ó D1-3 [¾·ÂÔ¹Ö±é] ¥Õ¥©¡¼¥Þ¥ë¥á¥½¥Ã¥É
Æü»þ: 2010ǯ4·î19Æü(·î) 13:00-14:30
ºÂĹ: ²ÏÊÕ µÁ¿® (°¦Ã驶ÈÂç³Ø ¾ðÊó²Ê³ØÉô)

D1-3-1 (»þ´Ö: 13:00 - 13:45)
Âê̾(¾·ÂÔ) ¼ÖºÜ¥·¥¹¥Æ¥à¤òÂоݤȤ·¤¿·Á¼°¼êË¡¤Î±þÍѸ¦µæ¤È²ÝÂê
Ãø¼Ô ¡ûº´Ìî Èϲ (Ë­ÅÄÃæ±û¸¦µæ½ê)
Pagepp. 233 - 233
Keyword ·Á¼°¼êË¡, ¼ÖºÜ¥·¥¹¥Æ¥à, Áȹþ¤ß¥·¥¹¥Æ¥à, ²ÝÂê
Abstract¼ÖºÜÁȹþ¤ß¥·¥¹¥Æ¥à¤Î¹â¿®Íê²½Ž¥³«È¯¸úΨ²½¤ò¤Í¤é¤¤¤È¤·¤Æ¡¤·Á¼°¼êË¡¤¬³èÍѤµ¤ì¤Ä¤Ä¤¢¤ë¡¥¥â¥Ç¥ë¸¡ºº¤Ë´Ø¤·¤Æ¤Ï¡¤¥â¥Ç¥ë¸¡ºº´ï¤òÁȤ߹þ¤ó¤ÀÀ©¸æ·ÏÀ߷ץġ¼¥ë¤Ê¤É¤Ë¤è¤ê³èÍѤÎÌܽ褬Ω¤Ã¤Æ¤¤¤ë¤¬¡¤¹­¤¤°ÕÌ£¤Ç·Á¼°¼êË¡¤ò³èÍѤ·¤¿³«È¯¥×¥í¥»¥¹¡¦³«È¯ÊýË¡ÏÀ¤Ë´Ø¤·¤Æ¤Ï¡¤¤Þ¤À»î¹Ôºø¸í¤òÀѤ߽ŤͤƤ¤¤ëÃʳ¬¤Ç¤¢¤ë¤È»×¤ï¤ì¤ë¡¥¤½¤Î¤è¤¦¤Ê¾õ¶·¤Î¤â¤È¡¤¼ÖºÜ¥·¥¹¥Æ¥à¤òÂоݤȤ·¤¿·Á¼°¼êË¡¤Î±þÍѸ¦µæ¤È¸¦µæ²ÝÂê¤Ë¤Ä¤¤¤Æ¾Ò²ð¤¹¤ë¡¥

D1-3-2 (»þ´Ö: 13:45 - 14:30)
Âê̾(¾·ÂÔ) ±§Ã赡¥½¥Õ¥È¥¦¥§¥¢¤ËÂФ¹¤ëIV&V¤Ë¤ª¤±¤ë¥â¥Ç¥ë¸¡ºº¤ÎŬÍÑ»öÎã
Ãø¼Ô ¡û¾¾ËÜ ÊÙ (±§Ãè¹Ò¶õ¸¦µæ³«È¯µ¡¹½), »á¸¶ ðó¸ç (»°±É¥Ï¥¤¥Æ¥Ã¥¯¥¹)
Pagepp. 234 - 239
Keyword IV&V, ÆÈΩ¸¡¾Ú, ¥â¥Ç¥ë¸¡ºº
Abstract±§Ãè¹Ò¶õ¸¦µæ³«È¯µ¡¹½¡ÊJAXA¡Ë¤Ç¤Ï¡¢±§Ã赡¤Ë´Ø¤¹¤ë¥½¥Õ¥È¥¦¥¨¥¢¤Î¿®ÍêÀ­¤ò¸þ¾å¤µ¤»¡¢°ÂÁ´À­¤ò³ÎÊݤ¹¤ë¤¿¤á¤Ë¡¢·Á¼°¼êË¡¤òÍѤ¤¤¿¸¡¾Úµ»½Ñ¤Î¸¦µæ¡¦¼ÂÍѤò¿Þ¤Ã¤Æ¤¤¤ë¡£ËܹƤǤϡ¢Â¿¿ô¤Î¼Â¥×¥í¥¸¥§¥¯¥È¤Ë¤ª¤¤¤Æ¼Â»Ü¤µ¤ì¤Æ¤¤¤ëÆÈΩ¸¡¾ÚµÚ¤ÓÍ­¸úÀ­³Îǧ¡ÊIV&V¡§Independent Verification and Validation¡Ë¤Î³èÆ°³µÍפȡ¢¤½¤Î³èÆ°¤ÎÃæ¤Çɾ²Á¼êË¡¤Î°ì¤Ä¤È¤·¤Æ»ÈÍѤ·¤Æ¤¤¤ë¥â¥Ç¥ë¸¡ºº¤Ë¤Ä¤¤¤Æ¡¢¤³¤ì¤Þ¤ÇÃæ³Ë¤È¤·¤Æ¼Â»Ü¤·¤Æ¤¤¤ë¡¢¥½¥Õ¥È¥¦¥§¥¢Í×µá»ÅÍͤ˴ؤ¹¤ë¾õÂÖÁ«°Ü¥â¥Ç¥ë¤òÍѤ¤¤¿É¾²Á¼êË¡¤ä¡¢ºÇ¿·¤ÎƳÆþ»öÎã¤È¤·¤Æ¡¢°Û¾ï»þ±¿ÍѼê½ç¤Ë´Ø¤¹¤ëɾ²Á¼êË¡¤Ë¤Ä¤¤¤Æ¾Ò²ð¤¹¤ë¡£


¥»¥Ã¥·¥ç¥ó D1-4 [¾·ÂÔ¹Ö±é] ĶÊÂÎó·×»»¤Î¤¿¤á¤Î¥¢¥ë¥´¥ê¥º¥ß¥Ã¥¯¥¹
Æü»þ: 2010ǯ4·î19Æü(·î) 15:00-17:00
ºÂĹ: Ã滳 ¿µ°ì (ÆÁÅçÂç³Ø Áí¹ç²Ê³ØÉô ¼«Á³¥·¥¹¥Æ¥à³Ø²Ê ¿ôÍý²Ê³Ø)

D1-4-1 (»þ´Ö: 15:00 - 15:30)
Âê̾(¾·ÂÔ) Â絬ÌÏÊÂÎó·×»»¤Î¤¿¤á¤Î¥¢¥ë¥´¥ê¥º¥ß¥Ã¥¯¥¹
Ãø¼Ô ¡ûÅÏÊÕ ¼£ (Åìµþ¹©¶ÈÂç³Ø)
Pagepp. 240 - 243
Keyword Â絬ÌÏÊÂÎó·×»», ʬ»¶·×»», GPU ·×»»
Abstract·×»»À¤³¦´Ñ¤Ë¤è¤ë²Ê³Ø¤Î¼êË¡¤ò¼Â¸½¤·¤Æ¤¤¤¯¤Ë¤Ï¡¤¥¹¥Ñ¥³¥ó¤Ê¤É ºÇ¶á¤ÎÂ絬ÌÏÊÂÎó¥³¥ó¥Ô¥å¡¼¥¿¤ò¤¦¤Þ¤¯»È¤¤¤³¤Ê¤¹µ»½Ñ¤Î³«È¯¤¬ ɬÍפǤ¢¤ë¡¥Â絬ÌÏÊÂÎó·×»»¤òÀ߷פ¹¤ë¥¢¥ë¥´¥ê¥º¥àÏÀ¤Ë¤Ä¤¤¤Æ £²¤Ä¤Î¥Æ¡¼¥Þ¤ÎÇطʤȸ¦µæÊý¿Ë¤½¤·¤Æ´ðËÜŪ¤Ê·×»»¥â¥Ç¥ë¤Ë¤Ä¤¤ ¤Æ½Ò¤Ù¤ë¡¥

D1-4-2 (»þ´Ö: 15:30 - 16:00)
Âê̾(¾·ÂÔ) CUDA Implementation of Iterative Updating: the Radix-2 Algorithm and Discrete Fourier Transforms
Ãø¼Ô ¡ûMikael Onsjö, Kenta Kasai, Osamu Watanabe (Tokyo Institute of Technology)
Pagepp. 244 - 248
Keyword GPU, DFT, bank-conflict
AbstractWe consider the problem of computing f_m(f_{m-1}(...f_1(x)...)). This generalizes "butterfly" algorithms, such as Radix-2 for computing Fourier transforms. We demonstrate how to use a graphics Processing Unit (GPU) to perform a large number of executions of these algorithms efficiently in parallel. In particular, we discuss an algorithmic way for reducing the bank conflicts in the GPU implementation.

D1-4-3 (»þ´Ö: 16:00 - 16:30)
Âê̾(¾·ÂÔ) Áжʷ¿ÊýÄø¼°¤Î¥Þ¥ë¥ÁGPU¤Ë¤è¤ëÂ絬ÌϹâÀºÅÙ·×»»
Ãø¼Ô ¡û¿ù¸¶ ·òÂÀ (Åìµþ¹©¶ÈÂç³ØÂç³Ø±¡ Íý¹©³Ø¸¦µæ²Ê), ÀÄÌÚºǷ (Åìµþ¹©¶ÈÂç³Ø ³Ø½Ñ¹ñºÝ¾ðÊ󥻥󥿡¼)
Pagepp. 249 - 254
Keyword GPU, CUDA, Tesla, TSUBAME, Overlap
Abstract3¼¡¸µ°ÜήÊýÄø¼°¤ËÂФ·¤Æ¡¢NVIDIA ¤Î Tesla S1070 ¤òÅëºÜ¤·¤¿¥¹¥Ñ¥³¥ó TSUBAME ¤òÍѤ¤¤Æ CUDA ¥×¥í¥°¥é¥ß¥ó¥°¤ò¹Ô¤Ã¤¿¡£Ã±°ì GPU ¤Ç¤Î 1 ¼¡~6 ¼¡ÀºÅÙº¹Ê¬Ë¡¤ä 5 ¼¡ÀºÅÙ WENO Ë¡¤Î·×»»¤Ë ÂФ·±é»»À­Ç½¤Î¬Äꤪ¤è¤Óɾ²Á¤ò¹Ô¤¤ WENO ¤Ç¤Ï 289 GFlops ¤òãÀ®¤·¤¿¡£¤µ¤é¤Ë¡¢Ê£¿ô¤Î GPU ¤òÍÑ ¤¤¤Æ3¼¡¸µÎΰèʬ³ä¤Ë´ð¤Å¤¯ÊÂÎ󲽤ò¹Ô¤¤¡¢60 GPU ¤Ç 6.1 TFlops ¤Î¼Â¹ÔÀ­Ç½¤òãÀ®¤·¤¿¡£¤Þ¤¿¡¢³Æ·×»» Îΰè¤ò¤µ¤é¤Ë 7 ¤Ä¤Î Kernel ¤Ëʬ¤±ÈóƱ´ü¼Â¹Ô¤¹¤ë¤³ ¤È¤Ë¤è¤ë¡Ö·×»» Kernel, Device-Host ´ÖÄÌ¿®, MPI ÄÌ ¿®¡×3¤Ä¤Î¥ª¡¼¥Ð¡¼¥é¥Ã¥×¥Æ¥¯¥Ë¥Ã¥¯¤òÄó°Æ¤·¡¢¤½ ¤ì¤Ë¤è¤ê 60 GPU ¤Ç 7.8 TFlops ¤Î¼Â¹ÔÀ­Ç½¤òãÀ®¤· ¤¿¡£¤Þ¤¿¡¢¤³¤Î¥ª¡¼¥Ð¡¼¥é¥Ã¥×¥Æ¥¯¥Ë¥Ã¥¯¤Ïľ¸ò³Ê »Ò¤Î¥¹¥Æ¥ó¥·¥ë·×»»Á´È̤ÇŬÍѲÄǽ¤Ç¤¢¤ë¡£GPU ·× »»¤Ï½¾Íè¤Î CPU ¤Ë¤è¤ë·×»»¤ÈÈæ¤Ù¤ÆÈó¾ï¤Ë¹â®¤Ç ¤¢¤ê¡¢Í­¸úÀ­¤¬¹â¤¤¡£

D1-4-4 (»þ´Ö: 16:30 - 17:00)
Âê̾(¾·ÂÔ) On the Scalability of Parallel Best First Search
Ãø¼Ô Akihiro Kishimoto, ¡ûAlex Fukunaga (Tokyo Institute of Technology), Adi Botea (NICTA / Australian National University)
Pagepp. 255 - 256
Keyword õº÷, ÊÂÎó·×»», ¿Í¹©ÃÎǽ
AbstractWe investigate the scaling of HDA*, a simple, parallel best-first search algorithm. Experimental results using up to 1024 cores for the domain-independent planning problem will be presented.


¥»¥Ã¥·¥ç¥ó SP ÆÃÊ̾·ÂÔ¹Ö±é
Æü»þ: 2010ǯ4·î19Æü(·î) 17:40-18:40
ºÂĹ: ËÙÈø ´îɧ (ÅìµþÅŵ¡Âç³Ø ¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê)

SP-1 (»þ´Ö: 17:40 - 18:40)
Âê̾(¾·ÂÔ) Ê£»¨·Ï¿ôÍý¥â¥Ç¥ê¥ó¥°¤È¤½¤Î±þÍÑ
Ãø¼Ô ¹ç¸¶ °ì¹¬ (ÅìµþÂç³Ø)


2010ǯ4·î20Æü(²Ð)

¥»¥Ã¥·¥ç¥ó A2-1 ÇÛÀþ¥â¥Ç¥ê¥ó¥°¤ÈÃê½Ð
Æü»þ: 2010ǯ4·î20Æü(²Ð) 9:15-10:15
ºÂĹ: ¶âËÜ ½Ó´ö (¥ë¥Í¥µ¥¹¥¨¥ì¥¯¥È¥í¥Ë¥¯¥¹)

A2-1-1 (»þ´Ö: 9:15 - 9:45)
Âê̾Explicit Effective Capacitance Model for CMOS Gate with Interconnect Load
Ãø¼Ô ¡ýMinglu Jiang (Graduate School of Information, Production and Systems, Waseda University), Zhangcai Huang (Fukuoka Industry, Science and Technology Foundation), Atsushi Kurokawa (SANYO Electric Co., Ltd), Yasuaki Inoue (Graduate School of Information, Production and Systems, Waseda University)
Pagepp. 257 - 262
Keyword effective capacitance, gate delay, non-iterative
AbstractDelay evaluation is always a vital concern for the highperformance digital VLSI design. The conventional methods usually use an iterative method to ensure the accuracy of the effective capacitance Ceff, which is usually used to compute the delay of gate with interconnect load and to capture the output signal shape of the real gate response. In this paper, a polynomial approximation method is used to make the nonlinear Ceff equation be solved without iterative method. Compared to the conventional methods, the proposed method has the merit of improving the efficiency for Ceff calculation. Meanwhile, experimental results show that the proposed method is in agreement with the Spice simulation.

A2-1-2 (»þ´Ö: 9:45 - 10:15)
Âê̾GPGPU¤Ë¤è¤ëÅý·×Ū´óÀ¸ÍÆÎÌÃê½Ð¥¢¥ë¥´¥ê¥º¥à¤ÎÊÂÎó¼ÂÁõ
Ãø¼Ô ¡ûÅÏîµ µ®Ç·, Ëê ͺμ (ÀŲ¬¸©Î©Âç³Ø·Ð±Ä¾ðÊó³ØÉô)
Pagepp. 263 - 268
Keyword GPGPU, ÍÆÎÌÃê½Ð, ¥â¥ó¥Æ¥«¥ë¥íË¡, ¥é¥ó¥À¥à¥¦¥©¡¼¥¯
AbstractËÜÏÀʸ¤Ç¤Ï¡¢GPU¤òÍѤ¤¤¿´óÀ¸ÍÆÎÌÃê½Ð¥¢¥ë¥´¥ê¥º¥à¤ÎÊÂÎó¼ÂÁõÎã¤Ë¤Ä¤¤¤Æ¼¨¤¹¡£ÊÂÎ󲽤ÎÂоݤȤ·¤¿Ãê½Ð¥¢¥ë¥´¥ê¥º¥à¤Ï¡¢¤è¤¯ÃΤé¤ì¤Æ¤¤¤ë¥Õ¥í¡¼¥Æ¥£¥ó¥°¡¦¥é¥ó¥À¥à¥¦¥©¡¼¥¯¤Ë¤è¤ë¥â¥ó¥Æ¥«¥ë¥íÀÑʬ¤òÍѤ¤¤¿Åý·×Ū¼êË¡¤Ç¤¢¤ë¡£¥â¥ó¥Æ¥«¥ë¥íË¡¤ÏÊÂÎ󲽤¬ÍưפǤ¢¤ê¡¢ËÜÏÀʸ¤ÇÂоݤȤ·¤¿Ãê½Ð¥¢¥ë¥´¥ê¥º¥à¤Ë¤Ä¤¤¤Æ¤â¡¢¤¹¤Ç¤ËPC¥¯¥é¥¹¥¿¤ä¥Þ¥ë¥Á¥³¥¢CPU¤Ç¤Î¼ÂÁõ¤¬Êó¹ð¤µ¤ì¤Æ¤¤¤ë¡£Ëܸ¦µæ¤Ç¤Ï¡¢¥³¥¢¿ô¤¬Â¿¤¤¤Ê¤¬¤é¤â¥³¥¢¤¢¤¿¤ê¤ÎÀ­Ç½¤¬CPU¤ËÈæ³Ó¤·¤ÆÄ㤯¡¢¼ÂÁõ¤Ë¤ª¤±¤ëÀ©Ìó¤â¤¢¤ëGPU¤òÍѤ¤¤Æ¾åµ­¥¢¥ë¥´¥ê¥º¥à¤ò¼ÂÁõ¤·¡¢¤½¤ÎÀ­Ç½¤Ë¤Ä¤¤¤Æɾ²Á¤¹¤ë¡£


¥»¥Ã¥·¥ç¥ó A2-2 ¥«¥ª¥¹¤ÈƱ´ü¸½¾Ý
Æü»þ: 2010ǯ4·î20Æü(²Ð) 10:35-12:15
ºÂĹ: ´Ø²° Âçͺ (ÀéÍÕÂç³Ø Âç³Ø±¡Í»¹ç²Ê³Ø¸¦µæ²Ê)

A2-2-1 (»þ´Ö: 10:35 - 11:00)
Âê̾A Chaos Associative Memory with Tchebycheff Activation Function
Ãø¼Ô ¡ûMasahiro Nakagawa (Faculty of Engineering, Nagaoka University of Technology)
Pagepp. 269 - 274
Keyword chaos neuron, periodic mapping, associative memory
AbstractIn this paper we shall put forward a novel chaos neuron model and investigate the dynamic properties of memory retrievals. The present artificial neuron model is defined by such periodic input-output mapping as the Tchebycheff function of the second kind. It is apparently shown that the present neural network with a periodic activation function has an ability of the retrievals of the embedded patterns superior than the conventional neural network with such a monotonous mapping. This advantage is considered to be as a result of the nonmonotonous property of the periodic mapping which involves a chaotic behaviour of the neurons. It is also found that the present chaos neuron model has a remarkably larger memory capacity than the conventional association system with the monotonous dynamics. These findings are considered to result from the chaotic dynamics to avoid at an unfavourable spurious states.

A2-2-2 (»þ´Ö: 11:00 - 11:25)
Âê̾Ä㼡Volterra FIlter¥Ù¡¼¥¹¤Î¥«¥ª¥¹ÊÑÄ´¥·¥¹¥Æ¥à¤Î°Å¹æ¶¯ÅÙ¸¡¾Ú¤Ë´Ø¤¹¤ë¸¦µæ
Ãø¼Ô º´Æ£ ¸µ¼ù, ¡ýÀîÀ¾ µÁÌÀ, ³ùÅÄ ¹°Ç· (ÌÀ¼£Âç³Ø)
Pagepp. 275 - 278
Keyword ¥«¥ª¥¹, °Å¹æ, ²òÀÏ
Abstract¥«¥ª¥¹ÍýÏÀ¤òÍѤ¤¤¿ÊÑÉüÄ´¥·¥¹¥Æ¥à¤Ï¥Ç¥£¥¸¥¿¥ëÄÌ¿®Ì֤ˤª¤±¤ë¥»¥­¥å¥ê¥Æ¥£³ÎÊݤμêÃʤΤ¦¤Á¤Î£±¤Ä¤Ç¤¢¤ë¡£ É®¼Ô¤é¤Ï¡¢Chaotic Neuron Type Nonlinearity¤ò¥Ù¡¼¥¹¤ËÈóÀþ·ÁÍ×ÁǤòÁȤ߹þ¤ó¤ÀÊÑÄ´¥·¥¹¥Æ¥à¤òÄó°Æ¤·¤Æ¤­¤¿¡£ ¤Þ¤¿¡¢¥«¥ª¥¹ÊÑÄ´¥·¥¹¥Æ¥à¤Ç¤Ï¥Ö¥ë¡¼¥È¥Õ¥©¡¼¥¹¥¢¥¿¥Ã¥¯°Ê³°¤Ë²òÀÏË¡¤¬³ÎΩ¤µ¤ì¤Æ¤¤¤Ê¤«¤Ã¤¿¤¬¡¢[·Ú°æÂô2009]¤Ë¤Æ ¸ÇÄê¾®¿ôÅÀ±é»»¤Ë¤ª¤±¤ëÈ󥪡¼¥Ð¡¼¥Õ¥í¡¼ÅÀ¤òÍѤ¤¤¿²òÀÏË¡¤¬Äó°Æ¤µ¤ì¤¿¡£¤µ¤é¤Ë¡¢[FIT2009]¤Ç¤Ï¡¢¤½¤Î²òÀÏË¡¤ò ÁÛÄꤷ¤¿¥«¥ª¥¹ÊÑÄ´¥·¥¹¥Æ¥à¤ÎÄó°Æ¤ò¹Ô¤Ã¤¿¡£ ËÜÏÀʸ¤Ç¤Ï¡¢[FIT2009]¤ÇÄó°Æ¤µ¤ì¤¿ÊÑÄ´¥·¥¹¥Æ¥à¤ËÂФ·¤Æ²òÀϤò¹Ô¤¦¤³¤È¤Ç¤É¤Î¤è¤¦¤Ê´Ä¶­²¼¤Ç²òÀϤ¬²Äǽ¤Ç¤¢¤ë¤«¤ò ÌÀ¤é¤«¤Ë¤¹¤ë¡£

A2-2-3 (»þ´Ö: 11:25 - 11:50)
Âê̾°ìÊý¸þ·ë¹ç¤ÈÁê¸ß·ë¹ç¤Îξ¼Ô¤ò´Þ¤à¿ÀÎÏ·¿¥«¥ª¥¹È¯À¸²óÏ©¤Î·ë¹ç·Ï
Ãø¼Ô ¡ý³¤Ï·ß· ¸¬°ì, »°Ë٠ˮɧ (Âó¿£Âç³ØÂç³Ø±¡ ¹©³Ø¸¦µæ²Ê ÅŻҾðÊ󹩳ØÀ칶)
Pagepp. 279 - 284
Keyword ¥«¥ª¥¹¤ÎƱ´ü, °ìÊý¸þ·ë¹ç, Áê¸ß·ë¹ç, °ìÈ̲½Æ±´ü, ¿ÀÎϲóÏ©
Abstract¥«¥ª¥¹¤Ï·èÄêÏÀŪ¤Ê·Ï¤ËȯÀ¸¤¹¤ë¡¢Ê£»¨¤«¤ÄÉÔµ¬Â§¤Ê¿¶Æ°¤Ç¤¢¤ë¡£¥«¥ª¥¹È¯À¸²óÏ©¤ÎÄñ¹³·ë¹ç·Ï¤Ç¤Ï¡¢¥«¥ª¥¹¤ÎƱ´ü¤¬È¯À¸¤¹¤ë¡£¥«¥ª¥¹¤ÎƱ´ü¤È¤Ï¡¢³Æ²óÏ©¤ÇȯÀ¸¤¹¤ë¥«¥ª¥¹¤Î´Ö¤Ç°ÌÁ꤬·¤¦¸½¾Ý¤Ç¤¢¤ë¡£¼ç¤Ê¹½À®¤È¤·¤Æ°ìÊý¸þ·ë¹ç·Ï¤ÈÁê¸ß·ë¹ç·Ï¤¬¤¢¤ë¡£²óϩƱ»Î¤Î´Ö¤Ç¿®¹æ¤¬°ìÊý¸þ¤ËÅÁ¤ï¤ë·ë¹ç¤ò°ìÊý¸þ·ë¹ç¡¢¿®¹æ¤¬¤ª¸ß¤¤¤ò¹Ô¤­Í褹¤ë·ë¹ç¤òÁê¸ß·ë¹ç¤È¸Æ¤Ö¡£³Æ¡¹¤Î·ë¹ç·Ï¤Ë¤ª¤¤¤Æ¥«¥ª¥¹¤ÎƱ´ü¤ÎȯÀ¸¤¬Êó¹ð¤µ¤ì¤Æ¤¤¤ë¡£¤³¤ì¤ËÂФ·¡¢Ëܸ¦µæ¤Ç¤Ï¡¢Î¾Êý¤Î·ë¹çÊý¼°¤ò´Þ¤à·Ï¤ËÃíÌܤ¹¤ë¡£ZhenÅù¤Ï¤³¤ì¤ËȯÀ¸¤¹¤ë¸½¾Ý¤ò¿ô¼°¥â¥Ç¥ë¤ÇÄ´¤Ù¤¿¤¬¡¢ÅŻҲóÏ©¼Â¸³¤Ç¤ÎÊó¹ðÎã¤Ï¤Ê¤¤¡£²æ¡¹¤Ï¤³¤ÎÌäÂê¤Ë¥¢¥×¥í¡¼¥Á¤·¤¿¡£

A2-2-4 (»þ´Ö: 11:50 - 12:15)
Âê̾·ë¹ç»°³Ñ·Á·¿È¯¿¶´ï¥Í¥Ã¥È¥ï¡¼¥¯¤Ç´Ñ¬¤µ¤ì¤ëƱ´ü¸½¾Ý
Ãø¼Ô ¡û¾å¼ê ÍÎ»Ò (University/ETH Zurich), À¾Èø ˧ʸ (ÆÁÅçÂç³Ø), Ruedi Stoop (University/ETH Zurich)
Pagepp. 285 - 288
Keyword ·ë¹çȯ¿¶´ï, Ʊ´ü¸½¾Ý, ¥Í¥Ã¥È¥ï¡¼¥¯¥È¥Ý¥í¥¸¡¼, ÍýÏÀ²òÀÏ
Abstract·ë¹çȯ¿¶´ï¤Ï¡¤¼ÂʪÍý¥·¥¹¥Æ¥à¤Ç´Ñ¬¤µ¤ì¤ë¹â¼¡¤ÎÈóÀþ·Á¸½¾Ý¤òÀâÌÀ¤¹¤ëÍ¥¤ì¤¿¥â¥Ç¥ë¤Ç¤¢¤ë¡¥ ·ë¹çȯ¿¶´ï¤Ï¡¤°ÌÁêÅÁÈÂÇȤ䥯¥é¥¹¥¿¥ê¥ó¥°¤Ê¤É¤È¤¤¤Ã¤¿¶½Ì£¿¼¤¤°ÌÁêƱ´ü¥Ñ¥¿¡¼¥ó¤òÀ¸¤ß½Ð¤¹¤³¤È¤âÃΤé¤ì¤Æ¤ª¤ê¡¤ ¤³¤Î°ÌÁêƱ´ü¥Ñ¥¿¡¼¥ó¤òÏ¢ÁÛµ­²±¤ä³Ø½¬²áÄø¤È¤¤¤Ã¤¿Ç¾¤Î¾ðÊó½èÍý¥â¥Ç¥ê¥ó¥°¤Ë±þÍѤǤ­¤ë¤Î¤Ç¤Ï¤Ê¤¤¤«¤È´üÂÔ¤µ¤ì¤Æ¤¤¤ë¡¥ ¤Þ¤¿¡¤¼«Á³³¦¤Ë¤Ï˪¤ÎÁ㹽¤¤Çͭ̾¤Ê¥Ï¥Ë¥«¥à¹½Â¤¤ä·ë¾½¹½Â¤¤Ê¤ÉÍÍ¡¹¤Ê¥¿¥¤¥×¤Î¥Í¥Ã¥È¥ï¡¼¥¯¹½Â¤¤¬Â¸ºß¤¹¤ë¡¥ ¤·¤«¤·¡¤È¯¿¶´ï¤ÎÂ絬ÌÏ·ë¹ç·Ï¤Î¸¦µæ¤È¤·¤Æ¤Ï¡¤´Ä¾õ¤äÆ󼡸µ³Ê»Ò¾õ¤Î¥â¥Ç¥ë¤¬Â¿¤¯¡¤ ¿³Ñ·Á¤¬·ë¹ç¤µ¤ì¤¿¥Í¥Ã¥È¥ï¡¼¥¯¥È¥Ý¥í¥¸¡¼¤Ë¤Ä¤¤¤Æ¤Î¸¦µæ¤Ï¤³¤ì¤Þ¤Ç¤¢¤Þ¤êÊó¹ð¤µ¤ì¤Æ¤¤¤Ê¤¤¡¥ ²æ¡¹¤Ï¡¤È¯¿¶´ï¤ò¤è¤êÊ£»¨¤Ê¥Í¥Ã¥È¥ï¡¼¥¯¹½Â¤¤Ë±þÍѤ¹¤ë¤³¤È¤Ç¡¤¤½¤ì¤¾¤ì¤Î¥Í¥Ã¥È¥ï¡¼¥¯¹½Â¤¤¬»ý¤Ä ¿·¤·¤¤ÆÃħ¤ò¸«½Ð¤¹¤³¤È¤¬¤Ç¤­¤ë¤Î¤Ç¤Ï¤Ê¤¤¤«¤È¹Í¤¨¤ë¡¥ Ëܸ¦µæ¤Ç¤Ï¡¤Â¿³Ñ·Á¤¬·ë¹ç¤µ¤ì¤¿Â絬Ìϥͥåȥ¥¯¸¦µæ¤ÎÂè°ìÃʳ¬¤È¤·¤Æ¡¤ Æó¤Ä¤Î»°³Ñ·Á·¿ van der Pol ȯ¿¶´ï¥Í¥Ã¥È¥ï¡¼¥¯¤Î°ìÊÕ¤ò²ð¤·¤Æ·ë¹ç¤·¤¿¥·¥¹¥Æ¥à¤Ç´Ñ¬¤µ¤ì¤ëƱ´ü¸½¾Ý¤Ë¤Ä¤¤¤Æ ¥³¥ó¥Ô¥å¡¼¥¿¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤ª¤è¤ÓÍýÏÀ²òÀϤˤè¤Ã¤ÆÄ´ºº¤ò¹Ô¤¦¡¥ ¤µ¤é¤Ë¡¤·ë¹çÄñ¹³Éôʬ¤Î¾ÃÈñÅÅÎϤòµá¤á¡¤Æ±´ü¸½¾Ý¤È¥¨¥Í¥ë¥®¡¼¤Î´Ø·¸¤òÌÀ¤é¤«¤Ë¤¹¤ë¡¥


¥»¥Ã¥·¥ç¥ó Ba2-1 ADC
Æü»þ: 2010ǯ4·î20Æü(²Ð) 9:00-10:15
ºÂĹ: ²¬ ˧¹§ (¥ë¥Í¥µ¥¹¥¨¥ì¥¯¥È¥í¥Ë¥¯¥¹)

Ba2-1-1 (»þ´Ö: 9:00 - 9:25)
Âê̾¾éĹ¥¢¥ë¥´¥ê¥º¥àSAR ADC¤Î¥Æ¥¹¥ÈÍưײ½µ»½Ñ
Ãø¼Ô ¾®Àî ÃÒɧ, ¾®ÎÓ ½ÕÉ× (·²ÇÏÂç³ØÂç³Ø±¡/¹©³Ø¸¦µæ²Ê), ¡ý°ËÆ£ Áï»Ö, ¾å¿¹ Áï»Ë, ð ÍÛÊ¿ (·²ÇÏÂç³Ø/¹©³ØÉô), ¹â°æ ¿­ÏÂ, »³¸ý δ¹° (·²ÇÏÂç³ØÂç³Ø±¡/¹©³Ø¸¦µæ²Ê)
Pagepp. 289 - 294
Keyword Ã༡Èæ³Ó¶á»÷ADC, ¥Ç¥¸¥¿¥ë¸íº¹ÊäÀµ, ¾éĹÀ­, ¥Æ¥¹¥ÈÍưײ½, ADC¥Æ¥¹¥È
Abstract¤³¤ÎÏÀʸ¤Ç¤Ï¾éĹ¥¢¥ë¥´¥ê¥à¤òÍѤ¤¤¿SAR ADC¤Î¥Æ¥¹¥ÈÍưײ½µ»½Ñ¤ò¹Í»¡¤¹¤ë¡¥¾éĹ¥¢¥ë¥´¥ê¥º¥àSARADC¤Ç¤Ï¥³¥ó¥Ñ¥ì¡¼¥¿¤Î¸íȽÄê¤òµöÍƤ¹¤ë¤¿¤á¡¤ÆâÉôDAC½ÐÎϤÎÀ°Äê¤òÂÔ¤ÄɬÍפ¬¤Ê¤¯¹â®¥µ¥ó¥×¥ê¥ó¥°¤¬¼Â¸½¤Ç¤­¤ë¡¥¤³¤Î¾éĹSAR ADC¤ÎºÇ½ª½ÐÎϤȳƥ¹¥Æ¥Ã¥×¤Î¥³¥ó¥Ñ¥ì¡¼¥¿¤ÎȽÄêÃͤ«¤é³Æ¥¹¥Æ¥Ã¥×¤Ç¤ÎDAC½ÐÎϤÎÀ°ÄêÃͤò¿äÄꤷ¡¤¥¹¥Ô¡¼¥É;͵¤òÃΤëÊý¼°¤òÄó°Æ¤¹¤ë¡¥¤³¤Î¤³¤È¤Ë¤è¤ê²¹ÅÙ¡¦ÅŸ»ÅÅ°µ¤òÊѲ½¤µ¤»¤Æ¥Æ¥¹¥È¤ò¹Ô¤¦¹©¿ô¤òºï¸º¤Ç¤­¥Æ¥¹¥È¥³¥¹¥È¤¬¸º¾¯¤Ç¤­¤ë¡¥¤µ¤é¤Ë½Ð²Ù»þ¤ÎATE¤Ë¤è¤ë¥¹¥Ô¡¼¥É;͵¿äÄê¤ò¤â¤È¤Ë¥Á¥Ã¥×Ëè¤Î¥×¥í¥»¥¹ÊÑÆ°¤Ë±þ¤¸¤ÆºÇŬ¤Ê¾éĹ¥¢¥ë¥´¥ê¥º¥à¤òÁªÂò¤¹¤ëºÆ¹½À®²Äǽ¤ÊSAR ADC¤òÄó°Æ¤¹¤ë¡¥

Ba2-1-2 (»þ´Ö: 9:25 - 9:50)
Âê̾¥¤¥ó¥¿¡¼¥ê¡¼¥Ö£Á£Ä£Ã¤Ç¤Î¥¿¥¤¥ß¥ó¥°¥¹¥­¥å¡¼±Æ¶Á¤Î¥Ç¥¸¥¿¥ë¥Õ¥£¥ë¥¿¤Ë¤è¤ëÊäÀµµ»½Ñ
Ãø¼Ô Àõ¸« ¹¬»Ê (¡Ê³ô¡Ë¥¢¥É¥Ð¥ó¥Æ¥¹¥È), ¡ý¹õÂô Îõ»Î, Ω´ä ÉðÆÁ, µÜÅç ¹­¹Ô, ¾®ÎÓ ½ÕÉ× (·²ÇÏÂç³Ø)
Pagepp. 295 - 300
Keyword ¥¤¥ó¥¿¡¼¥ê¡¼¥ÖADC, ¥¿¥¤¥ß¥ó¥°¥¹¥­¥å¡¼, ¥Ç¥¸¥¿¥ë¥Õ¥£¥ë¥¿
Abstract¤³¤ÎÏÀʸ¤Ç¤Ï¥¤¥ó¥¿¡¼¥ê¡¼¥ÖADC¤Î¥Á¥ã¥Í¥ë¡¦¥µ¥ó¥×¥ê¥ó¥°¡¦¥¯¥í¥Ã¥¯´Ö¤Î¥¿¥¤¥ß¥ó¥°¥¹¥­¥å¡¼¤Î±Æ¶Á¤ò¥Ç¥¸¥¿¥ë¥Õ¥£¥ë¥¿¤ÇÊäÀµ¤¹¤ë¿·¼êË¡¤òµ­½Ò¤¹¤ë¡¥¥¤¥ó¥¿¡¼¥ê¡¼¥ÖADC¤Ç¤Ï¥Á¥ã¥Í¥ë´Ö¤Î¥ß¥¹¥Þ¥Ã¥Á¤Ë¤è¤ë±Æ¶Á¤¬ÌäÂê¤È¤Ê¤Ã¤Æ¤¤¤ë¡¥¥¤¥ó¥¿¡¼¥ê¡¼¥ÖADC¤Î¥¿¥¤¥ß¥ó¥°¥¹¥­¥å¡¼¤Î±Æ¶Á¤ò²òÀϤ·¡¤¥¿¥¤¥ß¥ó¥°¥¹¥­¥å¡¼¹»Àµ¤ò¹Ô¤¦¥Ç¥¸¥¿¥ë¥Õ¥£¥ë¥¿¤òÀ߷פ¹¤ë¡¥¤µ¤é¤Ë¤½¤Î¥Õ¥£¥ë¥¿¤Î¥¤¥ó¥¿¡¼¥ê¡¼¥ÖADC¤Î¥¿¥¤¥ß¥ó¥°¥¹¥­¥å¡¼¹»Àµ¤Ø¤ÎŬÍѤȤ½¤ÎÍ­¸úÀ­¤ò¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ç¼¨¤¹¡¥

Ba2-1-3 (»þ´Ö: 9:50 - 10:15)
Âê̾Large Input-Scale Delta-Sigma AD Modulator with Error-Feedforward Architecture
Ãø¼Ô ¡ýTakumi Shimizu, Hao San, Masao Hotta (ÅìµþÅÔ»ÔÂç³Ø½¸ÀѲ½¥·¥¹¥Æ¥à¸¦µæ¼¼)
Pagepp. 301 - 305
Keyword Delta-sigma modulator, Error-Feedforward, MASH
AbstractThis paper proposes a two-step architechture of delta-sigma AD modulator for large scale input signal. By adding an error-feedforward structure in the front end of the delta-sigma AD modulator, only the quantization noise is processed at the following stage, and allowable input-scale of the modulator is greatly improved. The proposed modulator can be simply reconfigured from conventional full-feedforward delta-sigma AD modulators which is suitable for reuse the modulators circuit with minimum re-design. The proposed modulator is similar to a cascade of two-stage MASH architechture. However, the first stage of the modulator is just a multibit quantizer without any analog/digital loop filters working as an error-feedforward structure. Moreover, the second stage of modulator does not use any digital filters to cancel out the quantization noise of the first stage, therefore the noise leakage propolem of MASH modulator can be relaxed systematically. MATLAB simulation results prove the effectiveness of the proposed modulator structure.


¥»¥Ã¥·¥ç¥ó Ba2-2 ÅŸ»
Æü»þ: 2010ǯ4·î20Æü(²Ð) 10:30-11:45
ºÂĹ: ËÙÅÄ ÀµÀ¸ (ÅìµþÅÔ»ÔÂç³Ø)

Ba2-2-1 (»þ´Ö: 10:30 - 10:55)
Âê̾ñ°ì¥¤¥ó¥À¥¯¥¿2½ÐÎÏDC-DC¥³¥ó¥Ð¡¼¥¿¤Î¸¡Æ¤
Ãø¼Ô ÄÅ»ÖÅÄ ·ò¸ã, ¡ýÈþÏ ½Ó²ð, ¹â¶¶ ·ò»Ê, ²£Èø Êã, º£°æ μÊå, ¼¾å ϵ®, ´äÀ¥ ¹ÀÇ·, Santhos A. Wibowo, ¾®ÎÓ ½ÕÉ×, ¹â°æ ¿­Ï (·²ÇÏÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²ÊÅŵ¤ÅŻҹ©³ØÀ칶), ¾®Åĸý µ®¹¨, ¹â»³ Ìмù, ¿¼°æ ¸ù, ¾¾ÅÄ ½ç°ì (°°²½À®Åì¸÷¥Ñ¥ï¡¼¥Ç¥Ð¥¤¥¹³ô¼°²ñ¼Ò)
Pagepp. 306 - 311
Keyword ñ°ì¥¤¥ó¥À¥¯¥¿, ¥Á¥ã¡¼¥¸¥Ý¥ó¥×Êý¼°, µ¿»÷Ϣ³¥â¡¼¥É
AbstractËÜÏÀʸ¤Ç¤Ï¡¢Ã±°ì¥¤¥ó¥À¥¯¥¿¤òÍѤ¤¤¿2½ÐÎÏDC-DC¥³¥ó¥Ð¡¼¥¿¤ò¸¡Æ¤¤¹¤ë¡£¥Á¥Ã¥×¥µ¥¤¥º½Ì¾®¡¢Ä㥳¥¹¥È²½¤ò¿Þ¤ê¡¢µ¿»÷Ϣ³¥â¡¼¥É¤òÍѤ¤¤¿¥¯¥í¥¹¥ì¥®¥å¥ì¡¼¥·¥ç¥ó¤Î²þÁ±¡¢¤µ¤é¤Ë¥Á¥ã¡¼¥¸¥Ý¥ó¥×Êý¼°¤òÍѤ¤¤¿ÉéÅÅ°µ²ÄÊѼêË¡¤ÎÄó°Æ¤È²òÀÏ¡¢¤½¤Î¥·¥ß¥å¥ì¡¼¥·¥ç¥ó·ë²Ì¤ò¼¨¤¹¡£

Ba2-2-2 (»þ´Ö: 10:55 - 11:20)
Âê̾A Low Voltage CMOS Rectifier for Low Power Battery-less Devices
Ãø¼Ô ¡ûQiang Li (Graduate School of Information, Production and Systems Waseda University), Zhangcai Huang (Fukuoka Industry, Science and Technology Foundation), Minglv Jiang, Renyuan Zhang, Yasuaki Inoue (Graduate School of Information, Production and Systems Waseda University)
Pagepp. 312 - 315
Keyword 1, 9, 8, 6
AbstractThis paper presents a low voltage CMOS full-wave rectifier for transcutaneous power transmission in low power battery-less devices such as biomedical implants. By using a simple comparator-controlled switch which needs a small supply voltage, the lowest input voltage amplitude can be reduced to 0.7V With only one comparator, the proposed design dramatically reduces the power loss and the production cost. The proposed rectifier can achieve a maximum peak voltage conversion efficiency of more than 93% and a power efficiency of approximately 87%.

Ba2-2-3 (»þ´Ö: 11:20 - 11:45)
Âê̾An Efficient Charge Pump Based on Cockcroft-Walton Structure
Ãø¼Ô ¡ýRenyuan Zhang, Qiang Li (Graduate School of Information, Production and Systems Waseda University), Zhangcai Huang (Fukuoka Industry, Science and Technology Foundation), Minglv Jiang, Yasuaki Inoue (Graduate School of Information, Production and Systems Waseda University)
Pagepp. 316 - 321
Keyword Cockcroft-Walton type, transistor gate capacitance, level shift, voltage boosting efficiency, power efficiency
AbstractThis work proposes a Cockcroft-Walton type charge pump circuit, in which each device including transistor and capacitor just stands against the voltage no more than the supply voltage Vdd. Therefore a low breakdown voltage fabrication of pumpingcapacitors can be applied in the proposed circuit. Furthermore, the level shift technique can be also realized in the proposed circuit to enhance the power efficiency. With a 0.18um standard CMOS process the proposed circuit can obtain the power efficiency more than 85%, and the voltage boosting efficiency of 96% which is 12% more than the recent improved Dickson type charge pump.


¥»¥Ã¥·¥ç¥ó Bd2-1 ¥·¥¹¥Æ¥à¼Â¸½µ»½Ñ
Æü»þ: 2010ǯ4·î20Æü(²Ð) 8:55-10:15
ºÂĹ: ÌÚ¼ À¿Áï (¿ÀÆàÀ²ÊÂç³Ø)

Bd2-1-1 (»þ´Ö: 8:55 - 9:15)
Âê̾¹â¥¹¥ë¡¼¥×¥Ã¥È¸ÇÄê¾®¿ôÅÀFFT²óÏ©¼ÂÁõ¤Ë¤ª¤±¤ëÎ̻Ҳ½¤ª¤è¤Ó·×»»¸íº¹¤È¥Ï¡¼¥É¥¦¥¨¥¢Î̤˴ؤ¹¤ë¸¡Æ¤
Ãø¼Ô ¡û¹âÌî ¸÷»Ê, ÂçÄí ¿®Ç·, ÊÒ»³ ÂÙ¾° (ÆüËÜ¥¢¥¤¡¦¥Ó¡¼¡¦¥¨¥à³ô¼°²ñ¼Ò/Åìµþ´ðÁø¦µæ½ê)
Pagepp. 322 - 327
Keyword ¸ÇÄê¾®¿ôÅÀFFT, ¹â¥¹¥ë¡¼¥×¥Ã¥È, 802.15.3c
Abstract¶áǯ¡¢ÄÌ¿®Ê¬Ìî¤Ç¤Ïľ¸òÇȼþÇÈ¿ôʬ³ä¿½Å(OFDM)¤Î¤è¤¦¤Ê¼þÇÈ¿ôÎΰè¤Ç¤Î¾ðÊó½èÍý¤ò¹Ô¤¦¤¿¤á¤ËFFT¤¬ÍѤ¤¤é¤ì¤Æ¤¤¤ë¡£ÄÌ¿®¤Î¹­ÂÓ°è²½¤Ëȼ¤¤¡¢FFT¤Ë¤Ï¹â¥¹¥ë¡¼¥×¥Ã¥È²½¤È¹â¼¡¿ô²½¤¬µá¤á¤é¤ì¤ë¤¬¥Ï¡¼¥É¥¦¥¨¥¢Î̤ÎÁý²Ã¤ÏÈò¤±¤é¤ì¤Ê¤¤¡£°ìÊý¤Ç¡¢°·¤¦¾ðÊó¤Î¹­ÂÓ°è²½¤Ë¤è¤êAD/DAÊÑ´¹´ï¤ÎEffective Number of Bits(ENoB)¤¬Äã²¼¤·¤Æ¤ª¤ê¡¢FFT¤¬É¬Íװʾå¤ÎÀºÅÙ¤ò¤â¤Ä¤³¤È¤Ï¡¢FFT¤Î¥Ï¡¼¥É¥¦¥¨¥¢Î̤δÑÅÀ¤«¤éÈó¸úΨ¤Ç¤¢¤ë¡£ËÜÏÀʸ¤Ç¤Ï¡¢Æþ½ÐÎϥǡ¼¥¿¤ÎENoB¤ÈFFT¤ÎÆÃÀ­¤ò¹Íθ¤·¡¢FFT¤ò¾¯¤Ê¤¤¥Ï¡¼¥É¥¦¥¨¥¢Î̤ǽ½Ê¬¤Ê±é»»ÀºÅÙ¤òÆÀ¤ëÊý¼°¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë

Bd2-1-2 (»þ´Ö: 9:15 - 9:35)
Âê̾¥¢¥ó¥À¡¼¥µ¥ó¥×¥ê¥ó¥°Êý¼°¥Ñ¥ë¥¹¥ì¡¼¥¶Â¬µ÷ÁõÃ֤Υ饰¥é¥ó¥¸¥å¤ÎÄêÍý¤Ë´ð¤Å¤¯¹â®²½
Ãø¼Ô ¡ûÂçÀÐ À¯Íµ (­ê¥È¥×¥³¥ó µ»½Ñ³«È¯¥°¥ë¡¼¥× ¸¦µæ³«È¯¥»¥ó¥¿¡¼), Âçͧ ʸÉ× (­ê¥È¥×¥³¥ó µ»½Ñ³«È¯¥°¥ë¡¼¥×), ÌðÉô ²íÌÀ, ¼¯»ÒÌÚ Ëþ, ã·Æ£ µ®¾¼, ÎëÌÚ ¹¯¸², ¾®ÌîÅÄ ³Ù»Ö (­ê¥È¥×¥³¥ó ¥Ý¥¸¥·¥ç¥Ë¥ó¥°¥Ó¥¸¥Í¥¹¥æ¥Ë¥Ã¥È), ÆÁÅÄ µÁ¹î (­ê¥È¥×¥³¥ó µ»½Ñ³«È¯¥°¥ë¡¼¥× ¸¦µæ³«È¯¥»¥ó¥¿¡¼), Ĺ߷ ¿ÆÀ¸ (¼óÅÔÂç³ØÅìµþ Âç³Ø±¡¥·¥¹¥Æ¥à¥Ç¥¶¥¤¥ó¸¦µæ²Ê)
Pagepp. 328 - 333
Keyword undersampling, rangefinder, pulse, laser
AbstractA new Speedup technique based on Lagrange's Theorem of a rangefinder with a pulsed laser using an undersampling method has been developed. In the undersampling method, frequency conversion and digitizing are conducted by sampling reference frequency signals at timing of reception of pulsed light from a target. In the present work, by employing change of a period of an emitting pulsed light without changing a synthesizer frequency which generates the period, the rangefinder generates the different sampling interval of the reference frequency signal. The technique allows us to control the minimum number of sampling for the calculation of distance measurement, so that high-speed data acquisition time for coarse measurement and normal data acquisition time for fine measurement are selectable.

Bd2-1-3 (»þ´Ö: 9:35 - 9:55)
Âê̾ʣ¿ô¤Î°ÜÆ°·¿¥í¥Ü¥Ã¥È¤Ë¤è¤ëÅ·°æ¥Þ¥Ã¥×¶¦Í­¥·¥¹¥Æ¥à¤Ë¤ª¤±¤ëÅÁÁ÷¥Ç¡¼¥¿Î̤κ︺
Ãø¼Ô ʡë ÂÙÌÀ, ¹â¶¶ Ãξ­, ¡ý¾¾ËÜ ÂóÌé, ´ä¶¶ À¯¹¨ (Ĺ²¬µ»½Ñ²Ê³ØÂç³ØÅŵ¤·Ï), ÌÚ¼ ůÌé (Ĺ²¬µ»½Ñ²Ê³ØÂç³Ø¥·¥¹¥Æ¥à°ÂÁ´·Ï)
Pagepp. 334 - 339
Keyword ¥í¥Ü¥Ã¥È¥Ó¥¸¥ç¥ó, JPEG2000
AbstractËÜ¥·¥¹¥Æ¥à¤Ç¤Ï¡¢²°Æâ¤ò°ÜÆ°¤¹¤ë¥í¥Ü¥Ã¥È¤ËÀßÃÖ¤µ¤ì¤¿¡¢Å·°æÊý¸þ¤Î¥«¥á¥é¤«¤éÆÀ¤é¤ì¤ëÆ°²èÁü¤«¤é¡¢°ìËç¤ÎÅ·°æ¥Þ¥Ã¥×ÀŻ߲èÁü¤¬À¸À®¤µ¤ì¤ë¡£¼¡¤Ë¡¢¤³¤ÎÀè¹Ôµ¡¤ËÄɽ¾¤·¤Æ°ÜÆ°¤¹¤ë¥í¥Ü¥Ã¥È¤Î¼«¸Ê°ÌÃÖ¤¬¡¢¤½¤ÎÅ·°æ¥Þ¥Ã¥×¾å¤Ëɽ¼¨¤µ¤ì¤ë¡£¤³¤ÎºÝ¡¢ËÄÂç¤ÊÎ̤ÎÆ°²èÁü¥Ç¡¼¥¿¤¬ÄÌ¿®¤µ¤ì¤ë¡£½¾¤Ã¤Æ¡¢Äɽ¾µ¡¿ô¤ÎÁý²Ã¤Ëȼ¤¤¡¢¥Í¥Ã¥È¥ï¡¼¥¯ÍÆÎ̤ÎÉÔ­¤¬À¸¤¸¤ë¡£²æ¡¹¤Ï´û¤Ë¡¢Äɽ¾µ¡¤Î¼«¸Ê°ÌÃÖ¿äÄê¤Ë¤È¤Ã¤ÆɬÍ׺Ǿ®¤Ê¾ðÊó¤Î¤ß¤òÅÁÁ÷¤¹¤ë¤³¤È¤Ç¡¢¥í¥Ü¥Ã¥ÈÄÌ¿®¤ËÍפ¹¤ë¥Ç¡¼¥¿ÅÁÁ÷Î̤òºï¸º¤Ç¤­¤ëµ¡Ç½Åª³¬ÁØÉä¹æ²½¤òÊó¹ð¤·¤¿¡£¤Þ¤¿¡¢Á°ÌÌÊý¸þ¤Î¥«¥á¥é¤«¤éÆÀ¤é¤ì¤ëÆ°¤­¾ðÊó¤òÍѤ¤¤ë¤³¤È¤Ç¡¢ÉÔÀ°ÃÏÁö¹Ô»þ¤Î¼«¸Ê°ÌÃÖ¿äÄê¤ÎÀºÅÙ¤ò¸þ¾å¤µ¤»¤¿¡£ËÜÊó¹ð¤Ç¤Ï¡¢Àè¹Ôµ¡¤Ë¥Ç¡¼¥¿ÅÁÁ÷Î̤ÎÉé²Ù¤ò½¸Ã椵¤»¤ë¤³¤È¤Ç¡¢Äɽ¾µ¡¤ÎÅÁÁ÷Î̤òÂçÉý¤Ëºï¸º¤µ¤»¤ë¡£¤³¤ì¤Ë¤è¤ê¡¢¥Í¥Ã¥È¥ï¡¼¥¯¤Î¸Â¤é¤ì¤¿ÅÁÁ÷ÍÆÎ̤Τâ¤È¤Ç¡¢¤è¤ê¿¤¯¤ÎÄɽ¾µ¡¤Î»²²Ã¤¬²Äǽ¤È¤Ê¤ë¡£

Bd2-1-4 (»þ´Ö: 9:55 - 10:15)
Âê̾¥É¥é¥¤¥Ó¥ó¥°¥Õ¥£¡¼¥ê¥ó¥°Ê¬ÀϤΤ¿¤á¤Î¥É¥é¥¤¥ÐµóÆ°·×¬¥·¥¹¥Æ¥à¤Î¸¡Æ¤
Ãø¼Ô ¡ûÊ¡´Ö ¿µ¼£, ²Ö°æ ²íŵ, º´Æ£ μ²ð, ¿¹ âðìϺ (Ê¡°æÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê), ÎÓ ·û¹§ (ÉٻνŹ©¶È)
Pagepp. 340 - 345
Keyword ¼«Æ°¼Ö, ±¿Å¾¼Ô, ¸÷³Ø¼°¥â¡¼¥·¥ç¥ó¥­¥ã¥×¥Á¥ã, ¥Õ¥£¡¼¥ê¥ó¥°
AbstractËÜÊó¹ð¤Ç¤Ï¼«Æ°¼Ö¤ò±¿Å¾Ãæ¤Î¥É¥é¥¤¥ÐµóÆ°·×¬¥·¥¹¥Æ¥à¤Î¸¡Æ¤¤Èɾ²Á¤ò¹Ô¤¦¡¥¥É¥é¥¤¥Ð¤ÎƬÉô»ÑÀª¤ÈÁà½ÄÆ°ºî¤ò¡¤¥¹¥Æ¥¢¥ê¥ó¥°³Ñ¡¤²Ã®ÅÙ¡¤°ÌÃÖÅù¤Î¼ÖξµóÆ°¤ÈƱ»þ¤Ë¬Äꤷ¡¤¡Ö±¿Å¾¤Î¤·¤ä¤¹¤µ¡×¡Ý¥É¥é¥¤¥Ó¥ó¥°¥Õ¥£¡¼¥ê¥ó¥°¤È·ë¤Ó¤Ä¤±¤ë¡¥¥É¥é¥¤¥ÐµóÆ°¤Ï²èÁü·×¬¤È¤·¡¤Æ¬Éô»ÑÀª¤Ï¥¹¥Æ¥ì¥ª¥«¥á¥é¡¤Áà½ÄÆ°ºî¤Ï¥â¡¼¥·¥ç¥ó¥­¥ã¥×¥Á¥ã¤Ç¬Äꤹ¤ë¡¥¥³¡¼¥¹¤Ç¼Â¼ÖÁö¹Ô¼Â¸³¤ò¹Ô¤¤¡¤¥É¥é¥¤¥ÐµóÆ°¤È¥É¥é¥¤¥Ó¥ó¥°¥Õ¥£¡¼¥ê¥ó¥°¤Î´Ö¤Î´Ø·¸¤ò¹Í»¡¤¹¤ë¡¥


¥»¥Ã¥·¥ç¥ó Bd2-2 ²èÁü½èÍý
Æü»þ: 2010ǯ4·î20Æü(²Ð) 10:45-12:05
ºÂĹ: µ×ÊÝÅÄ ¾´ (Ãæ±ûÂç³ØÍý¹©³ØÉôÅŵ¤ÅŻҾðÊóÄÌ¿®¹©³Ø²Ê)

Bd2-2-1 (»þ´Ö: 10:45 - 11:05)
Âê̾¥í¥Ð¥¹¥ÈÅÅ»ÒÆ©¤«¤·¤òÌÜŪ¤È¤·¤¿È¿ÉüËä¹þË¡¤ÎÄó°Æ
Ãø¼Ô ¡ýÃæËÜ ¾»Í³, º¸»³ ¹ÉÊ¿ (¹­ÅçÂç³Ø), Åï°Â ¼Â¼£ (´ØÀ¾Âç³Ø), ÂçÌî ½¤°ì (¹­ÅçÂç³Ø)
Pagepp. 346 - 351
Keyword ÅÅ»ÒÆ©¤«¤·, È¿ÉüËä¹þ¤ß, Î¥»¶¥¦¥§¡¼¥Ö¥ì¥Ã¥È
Abstract¶áǯ¡¤¥¤¥ó¥¿¡¼¥Í¥Ã¥È¤ÎÉáµÚ¤Ë¤è¤Ã¤ÆÀ¤³¦Ãæ¤Î¥æ¡¼¥¶¤¬¼ê·Ú¤Ë²èÁü¡¦Æ°²èÅù¤Î¤µ¤Þ¤¶¤Þ¤Ê¥Ç¥£¥¸¥¿¥ë¥³¥ó¥Æ¥ó¥Ä¤Ë¥¢¥¯¥»¥¹¤¹¤ë¤³¤È¤¬²Äǽ¤Ë¤Ê¤ê¤Ä¤Ä¤¢¤ë¡¥¤½¤ÎÍøÊØÀ­¤Î°ìÊý¤Ç¡¤¥Ç¥£¥¸¥¿¥ë¥³¥ó¥Æ¥ó¥Ä¤ÎÉÔÀµ¤Ê¥³¥Ô¡¼¤äÇÛÉÛ¤¬ÌäÂê¤È¤Ê¤Ã¤Æ¤¤¤ë¡¥ÅÅ»ÒÆ©¤«¤·¤Ï¡¤¥Ç¥£¥¸¥¿¥ë¥³¥ó¥Æ¥ó¥Ä¤ËÆ©¤«¤·¿®¹æ¤òËä¤á¹þ¤à¤³¤È¤Ë¤è¤Ã¤ÆÃøºî¸¢¤òÊݸ¤ë¼êË¡¤È¤·¤ÆÃíÌܤò½¸¤á¤Æ¤¤¤ë¡¥ËÜÏÀʸ¤Ç¤Ï¡¤ÅÅ»ÒÆ©¤«¤·Ë¡¤Î¥í¥Ð¥¹¥ÈÀ­¸þ¾å¤òÌÜŪ¤È¤·¤Æ¿·¤·¤¤Ëä¹þ¤ßÊýË¡¤È¸¡½ÐÊýË¡¤òÄó°Æ¤¹¤ë¡¥ËÜÏÀʸ¤Ç¤Ï¡¤1¤Ä¤ÎÈëÌ©¸°¡Êµ¿»÷Íð¿ô¤Î½é´üÃ͡ˤ«¤éÀ¸À®¤µ¤ì¤ëµ¿»÷Íð¿ôÎ󤫤é K ¥»¥Ã¥È¤ÎÆ©¤«¤·¿®¹æ¤òºîÀ®¤·¡¤¤½¤ì¤ò·«ÊÖ¤·Ëä¹þ¤ó¤À¾ì¹ç¡Ê¤³¤ì¤òÈ¿ÉüËä¹þ¤ß¤È¸Æ¤Ö¡¥¡Ë¤ÎÁê´ØÃͤȲè¼ÁÎô²½¤Ë¤Ä¤¤¤Æ²òÀϤò¹Ô¤¦¡¥¤Þ¤¿¡¤È¿ÉüËä¹þ¤ßË¡¤Î¤³¤ÎÀ­¼Á¤òÍøÍѤ·¤¿¿·¤·¤¤¸¡½ÐË¡¤òÄó°Æ¤¹¤ë¡¥¤³¤ì¤Ï¡¤K ²ó¤ÎÈ¿Éü¤ÇËä¹þ¤ó¤ÀÆ©¤«¤·¤Ë¤Ä¤¤¤Æ¤½¤ì¤¾¤ìÁê´ØÃͤò·×»»¤·¡¤¤½¤ì¤é¤¬Àµ¤È¤Ê¤ëÁê´ØÃͤθĿô¤Ë¤è¤Ã¤ÆÆ©¤«¤·¤Î̵ͭ¤òȽÄꤹ¤ë¤â¤Î¤Ç¤¢¤ë¡¥·×»»µ¡¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ç¤Ï¡¤ ɸ½à²èÁüLenna¤ËÂФ·¤ÆËä¹þ¤ß¼Â¸³¤ò¹Ô¤¤¡¤³Æ¼ï²èÁü½èÍý¤Ø¤ÎÂÑÀ­¤ò¼¨¤¹¡¥

Bd2-2-2 (»þ´Ö: 11:05 - 11:25)
Âê̾H.264/AVC¤Ë¤ª¤±¤ë¥Õ¥ì¡¼¥à´Ö¤ª¤è¤Ó¥Õ¥ì¡¼¥àÆâͽ¬¤ò¹Íθ¤·¤¿¥Þ¥¯¥í¥Ö¥í¥Ã¥¯¹â®ÁªÂòË¡
Ãø¼Ô ¡ýÆ£°æ ·ò°ì, »ÔÌÓ ¹°°ì (²£É͹ñΩÂç³Ø Âç³Ø±¡ ¹©³ØÉÜ /¹©³Ø¸¦µæ±¡)
Pagepp. 352 - 357
Keyword H.264/AVC, ¥Þ¥¯¥í¥Ö¥í¥Ã¥¯ÁªÂòË¡, ¹â®²½¼êË¡, Æ°¤­Í½Â¬
AbstractËÜÏÀʸ¤Ç¤ÏÆ°²èÁü°µ½ÌÉä¹æ²½µ»½Ñ¤Î¹ñºÝɸ½à¤Ç¤¢¤ëH.264/AVC¤Ë¤ª¤±¤ë¥Þ¥¯¥í¥Ö¥í¥Ã¥¯¤Î¹â®²½¼êË¡¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë¡¥ ¥Þ¥¯¥í¥Ö¥í¥Ã¥¯¤òÁªÂò¤¹¤ë¤¿¤á¤Ë¹Ô¤¦¥³¥¹¥È·×»»¤òȼ¤Ê¤¦½èÍý¤ÏÊ£»¨¤Ç»þ´Ö¤¬¤«¤«¤ë¤³¤È¤ÇÃΤé¤ì¤Æ¤¤¤ë¡¥ ¤½¤Î¤¿¤á¥Þ¥¯¥í¥Ö¥í¥Ã¥¯¤ò¤¤¤«¤Ë¤·¤Æ¸úΨ¤è¤¯ÁªÂò¤¹¤ë¤«¡¤¤È¤¤¤¦¤³¤È¤Ï°µ½Ì®ÅÙ¤ò¹â¤á¤ë¤¿¤á¤Î¼êÃʤȤ·¤ÆÈó¾ï¤Ë¸ú²ÌŪ¤Ç¤¢¤ë¤È¤¤¤¨¤ë¡¥ Ëܸ¦µæ¤Ç¤Ï¡¤»öÁ°¤ËÍѤ¤¤¿¥µ¥Ö¥Þ¥¯¥í¥Ö¥í¥Ã¥¯¤Î¾ðÊó¤òÊÝ»ý¤·¡¤¶õ´ÖŪ¡¤»þ´ÖŪ¤ËÁê´Ø¤Î¹â¤¤¥Þ¥¯¥í¥Ö¥í¥Ã¥¯¤Î¤ß¤ò¸õÊä¤È¤¹¤ë¼êË¡¤È ¥Õ¥ì¡¼¥àÆâͽ¬¤Ç¥Þ¥¯¥í¥Ö¥í¥Ã¥¯Æâ¤Î²èÁÇÃͤ«¤é¤É¤Î¥Þ¥¯¥í¥Ö¥í¥Ã¥¯¤òŬÍѤ¹¤ë¤Î¤¬Å¬ÀÚ¤«¤òȽÄꤹ¤ë¼êË¡¤òÁȤ߹ç¤ï¤»¤ë¤³¤È¤Ç¡¤ ¤µ¤é¤Ê¤ë¹â®²½¤¬¼Â¸½²Äǽ¤Ç¤¢¤ë¤³¤È¤ò³Îǧ¤¹¤ë¡¥

Bd2-2-3 (»þ´Ö: 11:25 - 11:45)
Âê̾°ÌÁê¾ðÊó¤Ë´ð¤Å¤¯»õ²ÊXÀþ²èÁüǧ¾Ú¥¢¥ë¥´¥ê¥º¥à¤ÈÂ絬Ìϥǡ¼¥¿¥Ù¡¼¥¹¤òÍѤ¤¤¿À­Ç½É¾²Á
Ãø¼Ô ¡û°ËÆ£ ¹¯°ì, Ⱦ߷ ͺ´õ, ÀÄÌÚ ¹§Ê¸ (ÅìËÌÂç³Ø), ¾®¿û ±É»Ò (¿ÀÆàÀî»õ²ÊÂç³Ø)
Pagepp. 358 - 363
Keyword ¸Ä¿Í¼±ÊÌ, »õ²ÊXÀþ²èÁü, ¥Ð¥¤¥ª¥á¥È¥ê¥¯¥¹, °ÌÁê¸ÂÄêÁê´ØË¡, ¿È¸µ³Îǧ
Abstract»õ²ÊXÀþ²èÁü¤Ï¡¤»õ²Ê¿ÇÎŤˤª¤±¤ë»ñÎÁ¤È¤·¤Æ¡¤¤Þ¤¿Â絬ÌϺҳ²¤Ë¤ª¤±¤ëµ¾À·¼Ô¤Î¿È¸µ³Îǧ¤Î¼êÃʤȤ·¤Æ¹­¤¯ÍøÍѤµ¤ì¤Æ¤¤¤ë¡¥¿È¸µ³Îǧºî¶È¤ÎÂçÉôʬ¤Ï¡¤ÀìÌç²È¤Î¼ê²èÁü¤Ç¹Ô¤ï¤ì¤Æ¤¤¤ë¤¿¤á¡¤ËÄÂç¤Ê»þ´Ö¤òÍפ¹¤ë¡¥¤½¤³¤Ç¡¤»õ²ÊXÀþ²èÁü¤òÍѤ¤¤Æ¼«Æ°Åª¤ËÁǻҳÎǧ¤ò¹Ô¤¦¥·¥¹¥Æ¥à¤ÎÍ׵᤬¹â¤Þ¤Ã¤Æ¤¤¤ë¡¥¤³¤ì¤ËÂФ·¡¤ËÜÏÀʸ¤Ç¤Ï¡¤°ÌÁê¸ÂÄêÁê´ØË¡¤òÍѤ¤¤¿»õ²ÊXÀþ²èÁü¤Îǧ¾Ú¥¢¥ë¥´¥ê¥º¥à¤òÄó°Æ¤¹¤ë¡¥¤Þ¤¿¡¤Â絬ÌϤʥǡ¼¥¿¥Ù¡¼¥¹¤òÍѤ¤¤Æ¡¤Â絬ÌϺҳ²¤òÁÛÄꤷ¤¿À­Ç½É¾²Á¼Â¸³¤ò¹Ô¤¤¡¤Äó°Æ¥¢¥ë¥´¥ê¥º¥à¤ÎÍ­¸úÀ­¤òɾ²Á¤¹¤ë¡¥

Bd2-2-4 (»þ´Ö: 11:45 - 12:05)
Âê̾£Ó£Ï£Í¤òƳÆþ¤·¤¿·Á¾õǧ¼±¥æ¥Ë¥Ã¥È¤Ë¤è¤ë·Á¾õǧ¼±¡¦Ãê½Ð¼êË¡¤Î³«È¯
Ãø¼Ô ¡ý¾®»³ ¾­¿Í, Ïɸ« °éμ (Ä»¼è´Ä¶­Âç³Ø), ¿¢ÅÄ ÂóÌé (¡Ê³ô¡Ë¥®¥ã¥é¥¯¥·¡¼), ÌùÌÚ ÅÐ (ÄÅ»³¹©¶È¹âÅùÀìÌç³Ø¹»), ÃÛë δͺ (¾¾¹¾¹©¶È¹âÅùÀìÌç³Ø¹»)
Pagepp. 364 - 369
Keyword ·Á¾õǧ¼±, ·Á¾õÃê½Ð, SOM, ÎسÔ, ƻϩɸ¼±
AbstractËÜÏÀʸ¤Ç¤Ï¡¢²èÁǤη绤˱ƶÁ¤ò¼õ¤±¤Ë¤¯¤¤·Á¾õǧ¼±¡¦Ãê½Ð¼êË¡¤Î¸¡Æ¤¤ò¹Ô¤¤¡¢¼«¸ÊÁÈ¿¥²½¥Þ¥Ã¥×¡ÊSelf Organizing Map¡§SOM¡Ë[1]¤òƳÆþ¤·¤¿·Á¾õǧ¼±¥æ¥Ë¥Ã¥È¤ò³«È¯¤·¡¢¤½¤ì¤òÍѤ¤¤¿¿·¤·¤¤·Á¾õǧ¼±Ë¡¤ò³«È¯¤·¤¿¤³¤È¤òÊó¹ð¤¹¤ë¡£³«È¯¤·¤¿·Á¾õǧ¼±Ë¡¤Ç¡¢·Á¾õǧ¼±¡¦Ãê½Ð ¼Â¸³¤ò¹Ô¤¤¡¢¼Â¸³·ë²Ì¤«¤é¡¢¥¯¥é¥¹¥¿¥ê¥ó¥°ÆÃÀ­¤ò»ý¤ÄSO£Í¤ò·Á¾õǧ¼±¥æ¥Ë¥Ã¥È¤ËƳÆþ¤·¡¢¤½¤Î¥æ¥Ë¥Ã¥È¤òËܼêË¡¤ËÁȤ߹þ¤à¤³¤È¤Ç¡¢ÎØ³Ô Àþ¤Î·ç»¤Ë±Æ¶Á¤µ¤ì¤Ë¤¯¤¤¡¢ËܼêË¡¤ÎÍ­¸úÀ­¤ò³Îǧ¤·¤¿¡£


¥»¥Ã¥·¥ç¥ó C2-1 Äã¾ÃÈñÅÅÎÏÀß·×¼êË¡
Æü»þ: 2010ǯ4·î20Æü(²Ð) 9:25-10:15
ºÂĹ: ¾®ÎÓ Íªµ­ (¥ë¥Í¥µ¥¹¥¨¥ì¥¯¥È¥í¥Ë¥¯¥¹³ô¼°²ñ¼Ò)

C2-1-1 (»þ´Ö: 9:25 - 9:50)
Âê̾RTOS¤Î¥Ï¡¼¥É¥¦¥¨¥¢²½¤Ë¤è¤ë¥½¥Õ¥È¥¦¥¨¥¢¥Ù¡¼¥¹TCP/IP½èÍý¤Î¹â®²½¤ÈÄã¾ÃÈñÅÅÎϲ½
Ãø¼Ô ¡û´Ý»³ ½¤¹§ (¥Í¥Ã¥È¥¯¥ê¥¢¥¹¥·¥¹¥Æ¥à¥º¡Ê³ô¡Ë), Àи¶ µü, °Â±º ´²¿Í (¶å½£Âç³Ø)
Pagepp. 370 - 375
Keyword TCP/IP, RTOS, ASIC, Network Processor
Abstract¶áǯ¤Î¥Í¥Ã¥È¥ï¡¼¥¯µ»½Ñ¤Ë¤ª¤±¤ë¹â®²½¥Ë¡¼¥º¤Î¹â¤Þ¤ê¤ËÂбþ¤·¡¢MAC¡¢PHYÉô¤Î¤ß¤Ê¤é¤ºTCP/IP¤Î¹â®²½¤âµá¤á¤é¤ì¤Æ¤¤¤ë¡£ÁȤ߹þ¤ß¥·¥¹¥Æ¥à¤Ë¤ª¤¤¤Æ¿ô100Mbps°Ê¾å¤ÎTCP/IP¥¹¥ë¡¼¥×¥Ã¥È¤òãÀ®¤¹¤ë¤³¤È¤Ï¡¢ÁȤ߹þ¤ß·¿CPU¤ÎÀ­Ç½¤«¤é¸À¤Ã¤ÆÂçÊѺ¤Æñ¤Ç¤¢¤ê¡¢¤Þ¤¿¾ÃÈñÅÅÎÏŪ¤Ë¤âÌäÂ꤬¤¢¤ë¡£²æ¡¹¤ÏTCP/IP¤Î¥½¥Õ¥È¥¦¥¨¥¢¤ò²òÀϤ·¡¢¥×¥í¥È¥³¥ë½èÍý°Ê³°¤ÎÂçÉôʬ¤Î½èÍý¤ò¥Ï¡¼¥É¥¦¥¨¥¢²½¤¹¤ë¤³¤È¤Ë¤è¤êTCP/IP¤Î½èÍý¤Î¹â®²½¤ò¼Â¸½¤·¤¿¡£Æä˽ÅÍפʤΤÏRTOS¤ò¥Ï¡¼¥É¥¦¥¨¥¢²½¤·¤¿¤³¤È¤Ç¤¢¤ê¡¢¤³¤ì¤Ë¤è¤ê½¾Íè¤Ë¤Ê¤¤À­Ç½¤òãÀ®¤·¤Ä¤Ä¡¢¥×¥í¥È¥³¥ë¥½¥Õ¥È¥¦¥¨¥¢¤Î½ÀÆðÀ­¤ò°Ý»ý¤¹¤ë¤³¤È¤¬¤Ç¤­¤¿¡£¼Â¸³·ë²Ì¤Ç¤Ï½¾Íè¤Î¥×¥í¥»¥Ã¥µ¤ËÈæ³Ó¤·Ìó10ÇܤΥ¹¥ë¡¼¥×¥Ã¥È¤ò¤¬Ã£À®¤·¤Ä¤Ä¡¢¾ÃÈñÅÅÎϤÏ1/7¤Ç¤¢¤Ã¤¿¡£

C2-1-2 (»þ´Ö: 9:50 - 10:15)
Âê̾¥á¥â¥êº®ºÜ·¿¥á¥Ç¥£¥¢¥ó¡¦¥Õ¥£¥ë¥¿¤ÎÀß·×
Ãø¼Ô ¡ý»³ËÜ ÎµÌé, ¥â¥·¥Ë¥ã¥¬ ¥ï¥·¥ê¡¼, ¶¶ËÜ ¹ÀÆó (Ê¡²¬Âç³ØÂç³Ø±¡ ¹©³Ø¸¦µæ²Ê ÅŻҾðÊ󹩳ØÀ칶 / ·×»»µ¡¥·¥¹¥Æ¥à¸¦µæ¼¼)
Pagepp. 376 - 381
Keyword ¥á¥â¥êº®ºÜ·¿, ¥á¥Ç¥£¥¢¥ó¡¦¥Õ¥£¥ë¥¿, Äã¾ÃÈñ¥¨¥Í¥ë¥®¡¼, ±é»»Î̺︺, ¥Ó¥Ã¥È¥·¥ê¥¢¥ë·¿
AbstractËÜȯɽ¤Ç¤Ï¡¢¥á¥â¥êº®ºÜ·¿¥á¥Ç¥£¥¢¥ó¡¦¥Õ¥£¥ë¥¿¤Î¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤òÄó°Æ¤·¤Æ¤¤¤ë¡£¤³¤Î¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤Ç¤Ï¡¢¥á¥â¥ê¡¦¥Ð¥¹¤ª¤è¤ÓÆ⢥á¥â¥êÅù¤Ç¹½À®¤µ¤ì¤ëSoC¤ËŬ¤·¤¿¡¢ÀìÍѤËÀ߷פµ¤ì¤¿SRAM¤È¥Ó¥Ã¥È¡¦¥·¥ê¥¢¥ë·¿¥á¥Ç¥£¥¢¥ó¡¦¥Õ¥£¥ë¥¿²óÏ©¤Ç¹½À®¤µ¤ì¤ë¹âÀ­Ç½¡¦¾®µ¬ÌϲèÁü¥á¥Ç¥£¥¢¥ó¡¦¥Õ¥£¥ë¥¿¤ò¹½À®¤¹¤ë¤³¤È¤¬¤Ç¤­¡¢¤Þ¤¿¥×¥í¥»¥Ã¥µ-¥á¥â¥ê´Ö¥Ç¡¼¥¿¡¦¥¢¥¯¥»¥¹Î̤òºï¸º¤Ç¤­¤ë¤¿¤á¡¢Äã¾ÃÈñ¥¨¥Í¥ë¥®¡¼¤«¤Ä¹â®¤Ê²èÁü¥Õ¥£¥ë¥¿¥ê¥ó¥°½èÍýSoC¤ò¼Â¸½¤Ç¤­¤ë¡£


¥»¥Ã¥·¥ç¥ó C2-2 [ÆÃÊÌ¥»¥Ã¥·¥ç¥ó] ¥á¥Ë¡¼¥³¥¢»þÂå¤ÎÊÂÎ󥷥ߥå¥ì¡¼¥·¥ç¥ó
Æü»þ: 2010ǯ4·î20Æü(²Ð) 10:30-12:00
ºÂĹ: Ãæ¼ Í´°ì (NEC ¥·¥¹¥Æ¥àIP¥³¥¢¸¦µæ½ê)

C2-2-1 (»þ´Ö: 10:30 - 11:15)
Âê̾(¾·ÂÔ) ÇÈÆ°ÌäÂê¤ËÂФ¹¤ë GPU ¤òÍѤ¤¤¿Â絬Ìϳʻҷϥ·¥ß¥å¥ì¡¼¥·¥ç¥ó
Ãø¼Ô ¡ûÀÄÌÚ ÂºÇ· (Åìµþ¹©¶ÈÂç³Ø/³Ø½Ñ¹ñºÝ¾ðÊ󥻥󥿡¼)
Pagepp. 382 - 387
Keyword GPU, ÇÈÆ°ÌäÂê, ³Ê»Ò¥Ü¥ë¥Ä¥Þ¥óË¡, ¥ê¥¢¥ë¥¿¥¤¥àÄÅÇÈ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó, °µ½ÌÀ­Î®Âη׻»
AbstractGPGPU (General-Purpose Graphics Processing Unit) can be easily applied to the computation of such wave phenomena as electromagnetic wave propagation, since explicit numerical methods are available for them. We demonstrate a compressible flow solving Euler equation with a higher-order numerical scheme IDO-CF and the performance of 54 GFlops on NVIDIA GeForce GTX 285 was achieved. The multi-GPU computing for Lattice Boltzmann method is carried out on the Tesla GPU of TSUBAME grid cluster of Tokyo Tech with 100 GPUs. The shallow water equation for the real-time tsunami simulation is also solved on the multi-GPU and the overlapping technique between the communication and computation to hide the GPU-to-GPU communication time. The Tesla 10 GPUs achieved the performance comparable with 1000 TBUBAME Opteron CPUs

C2-2-2 (»þ´Ö: 11:15 - 12:00)
Âê̾(¾·ÂÔ) ¹â®ÅÅ»ÒÀ߷פΤ¿¤á¤Î¿ÊÂÎóSI/PI/EMI¥·¥ß¥å¥ì¡¼¥·¥ç¥óµ»½Ñ
Ãø¼Ô ¡ûÀõ°æ ½¨¼ù (ÀŲ¬Âç³Ø)
Pagepp. 388 - 391
Keyword ¹â®ÅÅ»ÒÀß·×, ¿ÊÂÎ󥷥ߥå¥ì¡¼¥·¥ç¥ó, ¥·¥°¥Ê¥ë/¥Ñ¥ï¡¼¡¦¥¤¥ó¥Æ¥°¥ê¥Æ¥£, EMI, ²óÏ©/Åż§³¦¥·¥ß¥å¥ì¡¼¥·¥ç¥ó
Abstractºòº£¡¢È¾Æ³ÂΤä¹âÌ©ÅÙ´ðÈĤʤÉÅŻҲóÏ©¤Î¹â½¸ÀѲ½¤ä¹â¼þÇȲ½¤Ëȼ¤¤¡¢Â絬ÌÏÅŵ¤¥·¥ß¥å¥ì¡¼¥·¥ç¥óµ»½Ñ¤ËÂФ¹¤ëÍ×µá¤Ï¹â¤Þ¤ë°ìÊý¤Ç¤¢¤ë¡£ÀÞ¤«¤é¡¢¥Þ¥ë¥Á¥³¥¢¤äGPUÅù¤Î¥Ï¡¼¥É¥¦¥¨¥¢¡¦¥¢¥¯¥»¥é¥ì¡¼¥¿¤Î½Ð¸½¤Ë¤è¤ê¡¢ÊÂÎó·×»»µ»½Ñ¤òÍøÍѤ·¤¿¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Î·àŪ¤Ê¹â®²½¤¬¼Â¸½¤µ¤ì¤Ä¤Ä¤¢¤ë¡£ËܹƤǤϡ¢¹â®ÅÁÁ÷À߷פˤª¤¤¤ÆÉԲķç¤È¤Ê¤Ã¤Æ¤¤¤ë¥·¥°¥Ê¥ë¡¿¥Ñ¥ï¡¼¡¦¥¤¥ó¥Æ¥°¥ê¥Æ¥£¤äÅż§Ë¸³²¤Î¿¶¤ëÉñ¤¤¤ò¸«ÀѤâ¤ë¤¿¤á¤ÎSI/PI/EMI¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Î¸½¾õ¤ÈÊÂÎ󥷥ߥå¥ì¡¼¥·¥ç¥ó¤Ø¤ÎŸ³«¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë¡£


¥»¥Ã¥·¥ç¥ó D2-1 ʹԥ·¥¹¥Æ¥à
Æü»þ: 2010ǯ4·î20Æü(²Ð) 9:00-10:00
ºÂĹ: »³¸ý ¿¿Ç·²ð (¶å½£¹©¶ÈÂç³Ø ¾ðÊ󹩳ØÉô)

D2-1-1 (»þ´Ö: 9:00 - 9:30)
Âê̾On Parallel Degree of Well-Structured Workflow Nets
Ãø¼Ô »³¸ý ¿¿¸ç, ¡ý¶Ê Æî (»³¸ýÂç³ØÂç³Ø±¡Íý¹©³Ø¸¦µæ²Ê)
Pagepp. 392 - 397
Keyword Petri net, workflow, WF-nets, parallel degree, PARAdeg
AbstractWorkflows can be modeled as a subclass of Petri nets, called workflow nets (WF-nets for short). In this paper, we discuss how to measure the parallelism of WF-nets. We first give the definition of parallel degree, PARAdeg, for WF-nets. We focus the discussion on a subclass of WF-nets, called well-structured WF-nets, because they are useful to model actual workflows. We show it is intractable to compute the value of PARAdeg for acyclic well-structured WF-nets. Then we propose a heuristic algorithm to compute the value. Finally, we show the effectiveness of our algorithm through an experiment.

D2-1-2 (»þ´Ö: 9:30 - 10:00)
Âê̾ʹԷ׻»¥â¥Ç¥ë¤Ë¤è¤ëÁȹþ¤ß¥·¥¹¥Æ¥à¤Î»ÅÍ͵­½Ò
Ãø¼Ô ¡û²ÏÊÕ µÁ¿®, °ËÆ£ Ī¹À, Àаæ ľ¹¨ (°¦Ã驶ÈÂç³Ø ¾ðÊó²Ê³ØÉô)
Pagepp. 398 - 403
Keyword ·Á¼°¼êË¡, Áȹþ¤ß¥½¥Õ¥È¥¦¥§¥¢, »ÅÍ͵­½Ò, ¸¡¾Ú, TOPPERS
Abstract¶áǯ¡¤Áȹþ¤ß¥·¥¹¥Æ¥à¤Ï¡¤À¸³è¤Î¤¢¤é¤æ¤ë¾ìÌ̤ǻȤï¤ì¤Æ¤¤¤ë¡¥ ¿¤¯¤ÎÁȹþ¤ß¥·¥¹¥Æ¥à¤ÏÊ£¿ô¤Î¥×¥í¥»¥Ã¥µ¤ò»ý¤Á¡¤OS¤â¥Þ¥ë¥Á¥¿¥¹¥¯²½¤¬¤¹¤¹¤ó¤Ç¤¤¤ë¡¥ ¤½¤Î¤¿¤á¡¤¤Ò¤È¤Ä¤ÎÁȹþ¤ß¥·¥¹¥Æ¥àÆâ¤Ç¡¤¿ô¿¤¯¤Î¥½¥Õ¥È¥¦¥§¥¢¤¬Ê¹ÔÆ°ºî¤¹¤ë¾õ¶·¤¬À¸¤Þ¤ì¤Æ¤¤¤ë¡¥ ¤³¤ì¤é¤Î¥½¥Õ¥È¥¦¥§¥¢¤Ï¡¤Æ±´ü¤ò¤È¤ë¤¿¤á¤Ë¸ß¤¤¤ËÄÌ¿®¤¹¤ëɬÍפ¬¤¢¤ë¤¬¡¤¤½¤ÎÄÌ¿®¤ÎÊ£»¨¤µ¤¬Áý¤¹¤Ë¤Ä¤ì¡¤¥Ç¥Ð¥Ã¥°¤¬º¤Æñ¤Ë¤Ê¤Ã¤Æ¤¤¤ë¡¥ ¤½¤³¤ÇËܹƤǤϡ¤Áȹþ¤ß¥½¥Õ¥È¥¦¥§¥¢¤Î¸¡¾Ú¤Ë¸þ¤±¤¿¡¤·Á¼°¼êË¡¤ÎŬÍѤò»î¤ß¤ë¡¥ ʹԷ׻»¥â¥Ç¥ë¤Ë´ð¤Å¤¯·Á¼°¸À¸ì¤òƳÆþ¤¹¤ë¤³¤È¤Ç¡¤Áȹþ¤ß¥½¥Õ¥È¥¦¥§¥¢¤ÎʹÔÀ­¤Ï¼«Á³¤Ë°·¤ï¤ì¤ë¡¥ ¤Þ¤¿¡¤´Êñ¤ÊÎã¤ËÂФ¹¤ë¡¤¥·¥¹¥Æ¥àµ­½Ò¤È¸¡¾Ú¤ÎÎã¤ò¼¨¤¹¡¥


¥»¥Ã¥·¥ç¥ó D2-2 ¥°¥é¥Õ¡¦¥Í¥Ã¥È¥ï¡¼¥¯ÍýÏÀ
Æü»þ: 2010ǯ4·î20Æü(²Ð) 10:30-12:30
ºÂĹ: Âçß· ¿·¸ã (·²ÇÏÂç³Ø Âç³Ø±¡ ¾ðÊ󹩳ØÀ칶)

D2-2-1 (»þ´Ö: 10:30 - 11:00)
Âê̾¦ÒÊÕÏ¢·ë2Éô¥°¥é¥Õ¤Î(¦Ò + 1)ÊÕÏ¢·ë²½¤Î¤¿¤á¤Î¹â®¥¢¥ë¥´¥ê¥º¥à
Ãø¼Ô ¡ý²­ Ãé¿Æ, ÅIJ¬ ÃÒ»Ö (¹­ÅçÂç³Ø Âç³Ø±¡ ¹©³Ø¸¦µæ²Ê), ´ÖÅç ÍøÌé (¹­Åç¹ñºÝÂç³Ø ¹©³ØÉô), ÅÏîµ ÉÒÀµ (¹­ÅçÂç³Ø Âç³Ø±¡ ¹©³Ø¸¦µæ²Ê)
Pagepp. 404 - 409
Keyword 2Éô¥°¥é¥Õ, ÊÕÏ¢·ëÅÙ, ¥¢¥ë¥´¥ê¥º¥à
Abstract2Éô¥°¥é¥Õ¤Î¦ËÊÕÏ¢·ë²½ÌäÂê¡Ê°Ê²¼¡¤UW-Bipartite-¦ËECA(*, MA)¤Èάµ­¡Ë¤Ï°Ê²¼¤Î¤è¤¦¤ËÄêµÁ¤µ¤ì¤ë¡¥:¡Öñ½ã̵¸þ2Éô¥°¥é¥ÕG=(V+, V-; E)¤¬Í¿¤¨¤é¤ì¤¿¤È¤­¡¤ÊÕÉղøå¤Î¥°¥é¥ÕG'=(V+, V-; E¢ÀE')¤¬¦ËÊÕÏ¢·ë2Éô¥°¥é¥Õ¤Ç¤¢¤ë¤è¤¦¤ÊºÇ¾®¤ÎÉÕ²ÃÊÕ½¸¹çE'¤òµá¤á¤è¡¥¡× ËܹƤǤϡ¤G¤¬kÊÕÏ¢·ë¤Î¤È¤­¤ËUW-Bipartite-(k + 1)ECA¤ËÂФ¹¤ëºÇŬ²ò¤ò»»½Ð¤¹¤ë¹â®¥¢¥ë¥´¥ê¥º¥à¤òÄó°Æ¤·¡¤k ¢º {1, 2}¤Ë¤Ä¤¤¤Æ¤ÏÀþ·Á»þ´Ö¤Ç²ò¤±¤ë¤³¤È¤ò¼¨¤¹¡¥

D2-2-2 (»þ´Ö: 11:00 - 11:30)
Âê̾Cayley¥°¥é¥Õ¤ÎÃ༡¿ÇÃDzÄǽ¼¡¿ô¤Î²¼³¦
Ãø¼Ô ¡û»³ÅÄ ÉÒµ¬ (ºë¶ÌÂç³Ø Âç³Ø±¡Íý¹©³Ø¸¦µæ²Ê ¿ôÍýÅŻҾðÊóÉôÌç)
Pagepp. 410 - 414
Keyword Cayley¥°¥é¥Õ, Ã༡¿ÇÃDzÄǽ¼¡¿ô, ²¼³¦, ¥¹¥¿¡¼¥°¥é¥Õ, Wrapped Butterfly
Abstract¾®Ê¸¤Ç¤Ï¡¤¤¹¤Ç¤ËÃΤé¤ì¤Æ¤¤¤ëCCC¤ÎÃ༡¿ÇÃDzÄǽ¼¡¿ô¤Î²¼³¦¤òµá¤á¤ë¼êË¡¤ò°ìÈ̲½¤·¤Æ¡¤Ç¤°Õ¤ÎNÅÀCayley¥°¥é¥Õ¤ÎÃ༡¿ÇÃDzÄǽ¼¡¿ô¤¬Omega(N/D)¤Ç¤¢¤ë¤³¤È¤ò¼¨¤¹¡¥¤³¤³¤Ç¡¤D¤ÏCayley¥°¥é¥Õ¤Îľ·Â¤Ç¤¢¤ë¡¥¤Þ¤¿¡¤ËÜ·ë²Ì¤òNÅÀ¥¹¥¿¡¼¥°¥é¥Õ¤ÈWrapped Butterfly¤ØŬÍѤ¹¤ë¤³¤È¤Ë¤è¤Ã¤Æ¡¤Ã༡¿ÇÃDzÄǽ¼¡¿ô¤¬¤½¤ì¤¾¤ìOmega(N log log N/log N)¤ÈOmega(N/log N)¤Ç¤¢¤ë¤³¤È¤ò¼¨¤¹¡¥

D2-2-3 (»þ´Ö: 11:30 - 12:00)
Âê̾Heuristic Extraction of a Maximum Induced Tree from a Graph
Ãø¼Ô ¡ýµÈÅÄ ¹ÀÇ·, ¹âÆ£ Âç²ð, ÅIJ¬ ÃÒ»Ö, ÅÏîµ ÉÒÀµ (¹­ÅçÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê)
Pagepp. 415 - 420
Keyword Extraction of induced subgraphs, Maximum induced trees, Vertex deletion of graphs, Heuristic algorithms, Evalution of algorithms
AbstractThe problem of extracting a maximum induced tree of a graph (MAXIT), which is NP-hard, asks for a vertex set of largest cardinality among those ones each of which induces a tree of a given graph. It is known that heuristic algorithms are useful tools for solving the constrained via minimization problems for layout design of printed wiring boards. The subjects of the paper are the following (1) and (2). (1) Several heuristic algorithms for MAXIT are proposed, and (2) their capability is compared by computing experiment.

D2-2-4 (»þ´Ö: 12:00 - 12:30)
Âê̾ÄÌ¿®·ÐÏ©¤ËÀ©Ìó¤Î¤¢¤ëÄÌ¿®¥Í¥Ã¥È¥ï¡¼¥¯¤Î¿®ÍêÀ­É¾²Á
Ãø¼Ô ¡ûÎÓ ÀµÇî (NTT¥µ¡¼¥Ó¥¹¥¤¥ó¥Æ¥°¥ì¡¼¥·¥ç¥ó¸¦µæ½ê), °¤Éô °ÒϺ (Åìµþ°åÎÅÊÝ·òÂç³Ø°åΞðÊó³Ø²Ê)
Pagepp. 421 - 426
Keyword ¿®ÍêÀ­, ÄÌ¿®¥Í¥Ã¥È¥ï¡¼¥¯, ÄÌ¿®·ÐÏ©, ¥¢¥ë¥´¥ê¥º¥à
AbstractÄÌ¿®¥Í¥Ã¥È¥ï¡¼¥¯¤Î¿®ÍêÀ­É¾²Á¥â¥Ç¥ë¤È¤·¤Æ¡¢³ÎΨ¥°¥é¥Õ¤¬¸¦µæ¤µ¤ì¤Æ¤¤¤ë¤¬¡¢¤³¤Î¥â¥Ç¥ë¤Ï¡¢¸½¼Â¤ÎÄÌ¿®¥Í¥Ã¥È¥ï¡¼¥¯¤Ë¤ª¤±¤ë½ô¾ò·ï¡ÊÄÌ¿®·ÐÏ©¤ÎÀ©Ìó¡¢Æ±»þ¸Î¾ã¡¢ÄÌ¿®ÍÆÎ̡ˤòÈ¿±Ç¤·¤Æ¤Ê¤¤¡£É®¼ÔÅù¤Ï¡¢¤³¤Î¤è¤¦¤Ê¸½¼Â¤Î½ô¾ò·ï¤òÈ¿±Ç¤·¤¿¥â¥Ç¥ë¤ò´û¤ËÄó°Æ¤·¤Æ¤¤¤ë¤¬¡¢¤½¤Î¥â¥Ç¥ë¤òÂоݤȤ·¤¿¿®ÍêÀ­É¾²Á¥¢¥ë¥´¥ê¥º¥à¤Ï¡¢·×»»»þ´Ö¤¬ËÄÂç¤È¤Ê¤ë¤³¤È¤¬ÌäÂê¤È¤Ê¤Ã¤Æ¤¤¤¿¡£¤½¤³¤Ç¡¢ËܹƤǤϡ¢·×»»¥¢¥ë¥´¥ê¥º¥à¤Î²þÎɤò¹Ô¤¤¡¢¤è¤ê´ÊÊؤǹ⮤ÊÊýË¡¤òÄó°Æ¤¹¤ë¡£