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2009ǯ4·î20Æü(·î)

¥»¥Ã¥·¥ç¥ó A1-1 ¿ôÃÍ·×»»
Æü»þ: 2009ǯ4·î20Æü(·î) 9:00-10:15
ºÂĹ: ÅÏîµ µ®Ç· (ÀŲ¬¸©Î©Âç³Ø ·Ð±Ä¾ðÊó³ØÉô ·Ð±Ä¾ðÊ󳨲Ê)

A1-1-1
Âê̾Two Modifications to FDTD Algorithm For Numerical Stability
Ãø¼Ô *Shahed Hussain (Shizuoka University, SESAME Technology Inc.), Naoki Oguni (Shizuoka University), Hideki Asai (Shizuoka University, SESAME Technology Inc.)
Pagepp. 1 - 6
Keyword ADE method, CFL condition, FDTD method
AbstractIn this paper, a new explicit type finite-difference time-domain (FDTD) algorithm is proposed which is stable beyond Courant Friedrich Levy (CFL) condition restraint. The new algorithm is based on an Alternating-Direction Explicit method. It is shown that the new algorithm is stable beyond the CFL condition. Here the numerical formulations are presented and simulation results are compared to those using the conventional FDTD method.

A1-1-2
Âê̾A Robust & Fast FDTD Technique for Fine Mesh Structures
Ãø¼Ô *Chandra Sekhar Paidimarry (Shizuoka University, SEASME Technology Inc.), Naoki Oguni (Shizuoka University), Yuta Inoue, Hideki Asai (Shizuoka University, SEASME Technology Inc.)
Pagepp. 7 - 12
Keyword Laguerre Polynomials, CFL limit, Stability, FDTD method.
AbstractIn this paper, an unconditionally stable and fast FDTD method is proposed using Laguerre polynomials. The key features of this method include no dependency on CFL limit and computationally efficient solution. It is therefore readily useful to fine mesh structures, where the time step is prohibitively small. The simulation results indicate that our method is fast compared to the existing techniques and has good correlation with conventional FDTD method.

A1-1-3
Âê̾SPICE¤Î²áÅϲòÀϤˤè¤ëÈóÀþ·ÁÄñ¹³²óÏ©¤Îº®¹çÊýÄø¼°¤ÎƳ½Ð
Ãø¼Ô *¸ÍÌîÁÒ ½¼, »³Â¼ À¶Î´ (Ãæ±ûÂç³Ø)
Pagepp. 13 - 18
Keyword ÈóÀþ·Á²óÏ©, º®¹çÊýÄø¼°, SPICE, ¾õÂÖÊýÄø¼°
AbstractÈóÀþ·ÁÄñ¹³²óÏ©¤òµ­½Ò¤¹¤ëÊýÄø¼°¤Ë¤Ï¤¤¤¯¤Ä¤«¤Î¼ïÎब¤¢¤ë¤¬¡¤¤½¤ÎÃæ¤Çº®¹çÊýÄø¼°¤ÏÍýÏÀŪ¤Ë°·¤¤¤ä¤¹¤¤¤¿¤á¡¤ÍýÏÀ¸¦µæ¤Ë¤ª¤¤¤Æ¤·¤Ð¤·¤ÐÍѤ¤¤é¤ì¤ë¡¥¤Þ¤¿¿ôÃͲòÀϤδÑÅÀ¤«¤é¤â¡¤º®¹çÊýÄø¼°¤ÏÊÑ¿ô¤Î¿ô¤¬¾¯¤Ê¤¤¡¤ÊÑ¿ôʬΥ²Äǽ¤Ç¤¢¤ë¤Ê¤É¤ÎÀ­¼Á¤ò¤â¤Ä¤¿¤á¡¤¶èʬŪÀþ·Á²òÀϤäÁ´²òõº÷¤Ê¤É¤Ë¤ª¤¤¤ÆÈó¾ï¤ËÍ­Íø¤ÊÊýÄø¼°¤È¤Ê¤ë¡¥¤·¤«¤·º®¹çÊýÄø¼°¤ÏÄê¼°²½¤¬É¬¤º¤·¤âÍÆ°×¤Ç¤Ê¤¤¤¿¤á¡¤¼ÂÍÑÌ̤ǻȤï¤ì¤ë¤³¤È¤Ï¤Û¤È¤ó¤É¤Ê¤«¤Ã¤¿¡¥¤â¤·º®¹çÊýÄø¼°¤ò¡ÖÊ£»¨¤ÊÍýÏÀ¤ä¥×¥í¥°¥é¥ß¥ó¥°¤Ê¤·¤Ë¡×¡ÖSPICE¤À¤±¤ò»È¤Ã¤Æ¡×´Êñ¤ËƳ½Ð¤¹¤ë¤³¤È¤¬¤Ç¤­¤ì¤Ð¡¤º®¹çÊýÄø¼°¤â¼ÂÍÑŪ¤ÊÊýÄø¼°¤È¤·¤Æ¹­¤¯»È¤ï¤ì¤ë²ÄǽÀ­¤¬¤¢¤ë¡¥ËܹƤǤϡ¤SPICE¤Î²áÅϲòÀϤòÍѤ¤¤Æº®¹çÊýÄø¼°¤òƳ½Ð¤¹¤ë´Êñ¤ÊÊýË¡¤òÄ󰯤¹¤ë¡¥¤Þ¤¿ËܹƤǤϡ¤Ä󰯼êË¡¤òÍѤ¤¤¿ÈóÀþ·Á¥À¥¤¥Ê¥ß¥Ã¥¯²óÏ©¤Î¾õÂÖÊýÄø¼°¤ÎƳ½ÐË¡¤Ë¤Ä¤¤¤Æ¤â¸¡Æ¤¤ò¹Ô¤¦¡¥


¥»¥Ã¥·¥ç¥ó A1-2 [ÆÃÊÌ¥»¥Ã¥·¥ç¥ó] ÈóÀþ·Á¥À¥¤¥Ê¥ß¥¯¥¹¤Ë¤è¤ë¥Í¥Ã¥È¥ï¡¼¥¯¤Î´ðÁäȱþÍÑ
Æü»þ: 2009ǯ4·î20Æü(·î) 10:35-12:04
ºÂĹ: ¾¾²¼ ½ÕÆà (ÆÁÅçÂç³Ø)

A1-2-1
Âê̾(¾·ÂÔ) ¥«¥ª¥¹¥À¥¤¥Ê¥ß¥¯¥¹¤òÍѤ¤¤¿ÁȤ߹ç¤ï¤»ºÇŬ²½
Ãø¼Ô *ÃÓ¸ý Ű (ºë¶ÌÂç³Ø)
Pagepp. 19 - 24
Keyword ¥«¥ª¥¹, ÁȤ߹ç¤ï¤»ºÇŬ²½
Abstract¥«¥ª¥¹¥À¥¤¥Ê¥ß¥¯¥¹¤òÍѤ¤¤¿ÁȤ߹ç¤ï¤»ºÇŬ²½Ë¡¤Ë¤Ä¤¤¤ÆµÄÏÀ¤¹¤ë¡¥

A1-2-2
Âê̾Maximum-Flow Neural Network ¤Ë¤ª¤±¤ë°ÂÄêÀ­¤Î°ìÈ̲½¤È¤½¤Î±þÍÑ
Ãø¼Ô *º´Æ£ ²í½Ó (¾åÃÒÂç³ØÍý¹©³Ø¸¦µæ²Ê¾ðÊó³ØÎΰè), ÀÄ¿¹ µ×, ÅÄÃæ êÌ (¾åÃÒÂç³ØÍý¹©³ØÉô¾ðÊóÍý¹©³Ø²Ê)
Pagepp. 25 - 30
Keyword ºÇÂç¥Õ¥í¡¼ÌäÂê, ¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯
Abstract¸½Âå¤Î¥Í¥Ã¥È¥ï¡¼¥¯¼Ò²ñ¤Ë¤ª¤¤¤Æ, ÌÜŪÃϤޤÇÇ¡²¿¤Ë¾¯¤Ê¤¤¥í¥¹¤ÇÁ᤯¥Ç¡¼¥¿¤òÁ÷¿®¤¹¤ë¤È¤¤¤¦ÊýË¡¤ÏÈó¾ï¤Ë½ÅÍפÊÌäÂê¤Ç¤¢¤ê, ºÇ¤â¸úΨŪ¤Ë¥Ç¡¼¥¿¤òÁ÷¤ë¤¿¤á¤Ë¤Ï³Æ¥ë¡¼¥È¤ËÂФ·Å¬Àڤʥǡ¼¥¿Î̤ò³ä¤êÅö¤Æ¤ë¤³¤È¤¬É¬ÍפǤ¢¤ë. ¤³¤ÎÌäÂê¤Ï¥Í¥Ã¥È¥ï¡¼¥¯¥Õ¥í¡¼ÌäÂê¤È¤·¤Æ¤è¤¯ÃΤé¤ì¤Æ¤ª¤ê, ºÇÂç¥Õ¥í¡¼¥¢¥ë¥´¥ê¥º¥à¤¬ºÇ¤âÍ¥¤ì¤¿²òË¡¤Î°ì¤Ä¤Ç¤¢¤ë. ½¾¤Ã¤Æ, Â絬Ìϥͥåȥ¥¯¤ËÂФ¹¤ëºÇÂç¥Õ¥í¡¼¥¢¥ë¥´¥ê¥º¥à¤ò¹â®¤Ë²ò¤¯¤³¤È¤¬Ç¯¡¹½ÅÍפȤʤäƤ­¤Æ¤¤¤ë. ËÜÏÀʸ¤Ç, ²æ¡¹¤Ï Maximum-Flow Neural Network (MF-NN) ¤òÄ󰯤·, Ä󰯤¹¤ë¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯¤¬ºÇÂç¥Õ¥í¡¼ÌäÂê¤ËŬ±þ²Äǽ¤Ç¤¢¤ë¤³¤È¤ò¼¨¤¹. ¹¹¤Ë, Ä󰯤¹¤ë¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯¤Î°ÂÄêÀ­¤Ë´Ø¤¹¤ëµÄÏÀ¤â¹Ô¤¦.

A1-2-3
Âê̾Nematodynamics based on Landau-de Gennes Theory
Ãø¼Ô *Masahiro Nakagawa (Department of Electrical Engineering, Faculty of Engineering, Nagaoka University of Technology)
Pagepp. 31 - 36
Keyword nematodynamics, elastic theory, Landau-de Gennes, Oseen-Zocher-Frank
AbstractIn this paper we shall examine the nematodynamics which involves both the microscopic order parameters and the macroscopic director based on Landau-de Gennes theory of nematics. Introducing a Lagrange multiplier corresponding to the conservation of trace of the tensor order parameter, the threshold condition of planar alignment cell will be analytically explored to show the agreement with the conventional vector approach on the bases of Oseen-Zocher-Frank theory. In addition some practical numerical computations will be presented so as to describe the relationship between the microscopic orders and the macroscopic director alignments under a certain electric field. In practice, the microscopic orders are found to be affected by the external electric field as well as the anchoring strength at the boundaries.


¥»¥Ã¥·¥ç¥ó A1-3 [ÆÃÊֱ̹é] ¥Ç¥Ð¥¤¥¹¥â¥Ç¥ê¥ó¥°
Æü»þ: 2009ǯ4·î20Æü(·î) 13:30-14:30
ºÂĹ: ÅÚë μ (µþÅÔÂç³Ø)

A1-3-1
Âê̾(¾·ÂÔ) ¹âÂѰµMOSFETÆÃÀ­¤Î¥â¥Ç¥ë²½¤È²óÏ©¥·¥ß¥å¥ì¡¼¥¿¤Ø¤ÎÁȤ߹þ¤ß
Ãø¼Ô *»°±º Æ»»Ò, Äç¶á ÎÑÉ×, ÀÞÉí ÂÙŵ, ºîÅÄ Î´, »°Âð Àµ¶Æ, ²£Æ» À¯¹¨, ³á¸¶ δ¹¨, µÆÃϸ¶ ½¨¹Ô, Uwe Feldmann, Hans Juergen Mattausch (¹­ÅçÂç³Ø)
Pagepp. 37 - 41
Keyword MOSFET¥â¥Ç¥ë, ¹âÂѰµ, ¹½Â¤°Í¸À­
Abstract¹âÂѰµMOSFETÆÃÀ­¤È¤³¤Î¥â¥Ç¥ë²½¤Ë¤Ä¤¤¤ÆHiSIM (Hiroshima-university STARC IGFET Model)¤Ë´ð¤Å¤¤¤Æ²òÀ⤹¤ë¡£¥Á¥ã¥Í¥ëÆâ¤«¤é¹âÂѰµ¤ò¼Â¸½¤·¤Æ¤¤¤ëÄãÇ»Å٥ɥê¥Õ¥ÈÎΰè¤Þ¤Ç¤Î¥Ý¥Æ¥ó¥·¥ã¥ëʬÉÛ¤¬³°ÉôÅ۵¤Ë¤è¤Ã¤Æ·ã¤·¤¯ÊѲ½¤¹¤ë¤³¤È¤¬¡¢Ê£»¨¤ÊÆÃÀ­¤Î¸¶°ø¤È¤Ê¤Ã¤Æ¤¤¤ë¤³¤È¤ò½Ò¤Ù¤ë¡£HiSIM¤Ç¤Ï¡¢¤³¤Î¥Ý¥Æ¥ó¥·¥ã¥ëʬÉÛ¤òÈ¿Éü·×»»¤Ç²ò¤¯¤³¤È¤Ë¤è¤Ã¤Æ¡¢Àµ³Î¤Ë·×»»¤·¤Æ¤¤¤ë¡£¹âÂѰµMOSFET¤ÎÂѰµ¤Ï¡¢ÍÑÅӤˤè¤Ã¤Æ¿ôV¤«¤é¿ô100V¤Þ¤Ç¥«¥Ð¡¼¤¹¤ë¡£¹­¤¤ÂѰµÈϰϤò¼Â¸½¤¹¤ë¤¿¤á¤Ë¡¢¹½Â¤¤âÂ礭¤¯ÊѤï¤ë¡£¹½Â¤¤ÎÊѲ½¤Ë¤è¤Ã¤ÆÅŵ¤ÆÃÀ­¤¬ÊѤï¤Ã¤Æ¤¯¤ëÍͻҤˤĤ¤¤Æ¤â½Ò¤Ù¤ë¡£


¥»¥Ã¥·¥ç¥ó A1-4 ¥«¥ª¥¹¼ÌÁü¤Î±þÍѤÈŸ˾
Æü»þ: 2009ǯ4·î20Æü(·î) 15:15-16:43
ºÂĹ: ÌÐϤ À¬°ìϺ (Ê¡°æÂç³Ø Âç³Ø±¡¹©³Ø¸¦µæ²Ê Åŵ¤¡¦ÅŻҹ©³ØÀì¹¶)

A1-4-1
Âê̾ÏĤó¤À¥Æ¥ó¥È¥Þ¥Ã¥×¤Ë´ð¤Å¤¯DAC¤Î²òÀÏ
Ãø¼Ô *Âí¸ý ¿¿ÃË, ºØÆ£ ÍøÄÌ (Ë¡À¯Âç³Ø)
Pagepp. 42 - 44
Keyword DAC, ¥«¥ª¥¹
Abstract´ÊÁǤʥ¹¥Ñ¥¤¥­¥ó¥°¥Ë¥å¡¼¥í¥ó¥â¥Ç¥ë¤«¤éÆÀ¤é¤ì¤ë¥ê¥¿¡¼¥ó¥Þ¥Ã¥×¤Î´ðËÜÆ°ºî¤Ë¤Ä¤¤¤Æ¹Í»¡¤·¡¢¤½¤ì¤Ë´ð¤Å¤¯A/D,D/A Converter¤ò¾Ò²ð¤¹¤ë¡£¥Ë¥å¡¼¥í¥ó¤Îưºî¤Ï1¼¡¸µ¥Ñ¥ë¥¹°ÌÃ֥ޥåפˤè¤Ã¤Æµ­½Ò¤µ¤ì¤ë¡£¤Þ¤¿¡¢Converter¤Îưºî¤Ï¥ê¥¿¡¼¥ó¥Þ¥Ã¥×¤Ë¤è¤Ã¤Æµ­½Ò¤µ¤ì¤ë¡£D/AÊÑ´¹¤Î¥Þ¥Ã¥×¤ÏA/DÊÑ´¹¤Î¥Þ¥Ã¥×¤ÎµÕ¼ÌÁü¤ËÂбþ¤¹¤ë¡£ËܹƤǤϥ꥿¡¼¥ó¥Þ¥Ã¥×¤è¤ê¼Â¸½¤Ç¤­¤ëGray A/D,D/A Converter¤ò¼¨¤·¡¢D/AÊÑ´¹¤ËÍѤ¤¤¿¥Þ¥Ã¥×¤òÍѤ¤¤Æ¥Ñ¥é¥á¡¼¥¿ÊѲ½¤Ë¤è¤ë¸íº¹¤ò¹Í»¡¤¹¤ë¡£¤Þ¤¿¥¹¥Ñ¥¤¥­¥ó¥°¥Ë¥å¡¼¥í¥ó¤Ë´ð¤Å¤¯Gray D/A Converter¤Ë¤Ä¤¤¤Æ¾Ò²ð¤¹¤ë¡£

A1-4-2
Âê̾¥é¥ó¥À¥àÀ­¸þ¾å¤òÌÜɸ¤È¤·¤¿¥«¥ª¥¹¼ÌÁü¤Î¹½À®¤Ë´Ø¤¹¤ë¸¦µæ
Ãø¼Ô *ÅÄÃæ Ç, ´äÅÄ ÏÂÇÏ, »ûÅÄ Íª²ð (ÌÀ¼£Âç³ØÂç³Ø±¡Íý¹©³Ø¸¦µæ²Ê), ³ùÅÄ ¹°Ç· (ÌÀ¼£Âç³ØÍý¹©³ØÉô)
Pagepp. 45 - 49
Keyword ¥«¥ª¥¹, ¥é¥ó¥À¥àÀ­, ÈóÀþ·Á¼ÌÁü
Abstract¶áǯ¡¢¥¤¥ó¥¿¡¼¥Í¥Ã¥È¤ÎÉáµÚ¤È¶¦¤Ë¡¢¥Ç¥£¥¸¥¿¥ëÄÌ¿®Ì֤ǤΰŹ沽¤¬½ÅÍ׻뤵¤ì¤Æ¤¤¤ë¤¬¡¢Ãø¼Ô¤é¤Ï¤½¤Î°ì¤Ä¤È¤·¤Æ¥«¥ª¥Æ¥£¥Ã¥¯¥Ë¥å¡¼¥í¥ó¤òÍѤ¤¤¿ÈëÌ©ÄÌ¿®¤Î¸¦µæ¤ò¹Ô¤Ã¤Æ¤¤¤ë¡£ ¤·¤«¤·¡¢²ÝÂê¤È¤·¤Æ¡¢°Å¹æ¤Î½ÅÍפʻØÉ¸¤È¤Ê¤ë¥é¥ó¥À¥àÀ­¤Î¸þ¾å¤¬µá¤á¤é¤ì¤Æ¤¤¤ë¡£Ëܸ¦µæ¤Ç¤Ï¥·¥¹¥Æ¥à¤Î´ðËܹ½Â¤¤ÏÊѹ¹¤»¤º¡¢ÈóÀþ·Á´Ø¿ô¤¬¥é¥ó¥À¥àÀ­¤ËÍ¿¤¨¤ë±Æ¶Á¤ò¸¡¾Ú¤¹¤ë¡£ ¸¡¾Ú¤Ë¤è¤ê¡¢ÈóÀþ·Á´Ø¿ô¤Î¹½À®¤òÊѹ¹¤·¤¿¾ì¹ç¤Ë¡¢¥é¥ó¥À¥àÀ­¤¬¸þ¾å¤¹¤ë¤³¤È¤¬³Îǧ¤Ç¤­¤¿¡£¤Þ¤¿¡¢¥«¥ª¥¹°Å¹æ¤Î¤½¤Î¾¤Î»ØÉ¸¤Ë¤Ä¤¤¤Æ¤â²þÁ±¤¬¸«¤é¤ì¡¢¤è¤ê°ÂÁ´¤Ê°Å¹æ¥·¥¹¥Æ¥à¤¬Äó°Æ¤Ç¤­¤¿¤È¹Í¤¨¤ë¡£¤·¤«¤·¡¢¥é¥ó¥À¥àÀ­¤Î¸þ¾å¤Ï·àŪ¤Ê¤â¤Î¤Ç¤Ï¤Ê¤¤¤¿¤á¡¢º£¸å¤â¿¤¯¤Î¸¡¾Ú¤¬É¬ÍפǤ¢¤ë¡£

A1-4-3
Âê̾¥Ü¥ë¥Æ¥é¥Õ¥£¥ë¥¿¤òÍѤ¤¤¿¥«¥ª¥¹°Å¹æ¥·¥¹¥Æ¥à¤ÎÆÃÀ­²þÁ±¤Ë´Ø¤¹¤ë¸¦µæ
Ãø¼Ô *»ûÅÄ Íª²ð, ÅÄÃæ Ç, ´äÅÄ ÏÂÇÏ (ÌÀ¼£Âç³ØÂç³Ø±¡Íý¹©³Ø¸¦µæ²ÊÅŵ¤¹©³ØÀì¹¶), ³ùÅÄ ¹°Ç· (ÌÀ¼£Âç³ØÍý¹©³ØÉô)
Pagepp. 50 - 55
Keyword ¥«¥ª¥¹, ¥Ü¥ë¥Æ¥é¥Õ¥£¥ë¥¿, ºÇÂç¥ê¥¢¥×¥Î¥Õ»Ø¿ô
AbstractËܸ¦µæ¤Ç¤Ï¡¢É®¼Ô¤¬Ä󰯤¹¤ëÊ£¿ô¤Î¥Ü¥ë¥Æ¥é¥Õ¥£¥ë¥¿¤òÍѤ¤¤¿¥«¥ª¥¹°Å¹æ¥·¥¹¥Æ¥à¤Î¥·¥¹¥Æ¥à¸¡¾Ú¤ò¹Ô¤Ã¤¿¡£½¾Íè¡¢¥Ü¥ë¥Æ¥é¥Õ¥£¥ë¥¿¤Î¸Ä¡¹¤Î¥Ñ¥é¥á¡¼¥¿¤Îɾ²Á¤ä¡¢ÆÃÀ­¤ò¹Íθ¤·¤¿¥Ñ¥é¥á¡¼¥¿¤ÎÀßÄê¤Ë¤Ä¤¤¤Æ¤Ï¡¢²è°ìŪ¤Ê´ð½à¤ò¸«¤¤¤À¤¹¤³¤È¤¬¤Ç¤­¤Æ¤¤¤Ê¤«¤Ã¤¿¡£¤½¤³¤Ç¡¢¤³¤Î¥·¥¹¥Æ¥à¤Î³Æ¥Ñ¥é¥á¡¼¥¿¤Î¡¢ÊÑÆ°»þ¤Ë¤ª¤±¤ëºÇÂç¥ê¥¢¥×¥Î¥Õ»Ø¿ôʬÉÛ¤òÈæ³Ó¤·¤ÆÆÃÀ­¤òɾ²Á¤·¡¢ÆÀ¤é¤ì¤¿ÆÃÀ­¤äµ¬Â§À­¤«¤é³Æ¥Ñ¥é¥á¡¼¥¿¤ÎÌò³ä¤ò¸¡Æ¤¤·¤¿¡£¤³¤Î¸¡¾Ú¤«¤é¡¢¥·¥¹¥Æ¥à¤Î¥ä¥³¥Ó¥¢¥ó¤Î¾å¾º¤¬¥ê¥¢¥×¥Î¥Õ»Ø¿ô¤Î¸þ¾å¤Ë¹×¸¥¤·¤Æ¤¤¤ë¤³¤È¤¬ÌÀ¤é¤«¤È¤Ê¤Ã¤¿¡£¤Þ¤¿¡¢¥Ü¥ë¥Æ¥é¥Õ¥£¥ë¥¿¤Î·¸¿ô¤ÎÌò³ä¤ò¡¢¥·¥¹¥Æ¥à¤Î³Æ¼°¤´¤È¤Ëʬô¤µ¤»¤ëÊýË¡¤¬Í­¸ú¤Ç¤Ï¤Ê¤¤¤«¤È¹Í¤¨¤é¤ì¤ë¡£

A1-4-4
Âê̾¥¹¥¤¥Ã¥Á¥ó¥°Æ°ºî¤ËÃÙ±ä¤òȼ¤¦¥Ï¥¤¥Ö¥ê¥Ã¥É¥·¥¹¥Æ¥à¤Î¼Â¸½¤È¤½¤Î²òÀÏ
Ãø¼Ô *Ë㸶 ´²Ç·, ¹âºä Âó»Ê (ÂçʬÂç³Ø/¹©³ØÉô)
Pagepp. 56 - 59
Keyword Ãdz²óÏ©, ¥¹¥¤¥Ã¥Á¥ó¥°ÃÙ¤ì, 2¼¡¸µPoincare¼ÌÁü
Abstract¤³¤ì¤Þ¤Ç¾õÂÖ¡¦»þ¹ï¤Ë°Í¸¤·¤Æ¥¹¥¤¥Ã¥Á¤¬ÀÚ¤êÂØ¤ï¤ë¤è¤¦¤Ê·Ï¤Ë´Ø¤¹¤ë¸¦µæ¤Î¤Û¤È¤ó¤É¤Ï¥¹¥¤¥Ã¥Á¥ó¥°Æ°ºî¤¬ÍýÁÛŪ¤Ë¹Ô¤Ê¤ï¤ì¤ë¾ì¹ç¤Ë¤Ä¤¤¤Æ¤Î¤â¤Î¤Ç¤¢¤Ã¤¿¡¥°ìÊý¶áǯ¡¤¥³¥ó¥Ð¡¼¥¿²óÏ©¤òÍѤ¤¤¿¼Â¸³·ë²Ì¤Ë¤è¤ê¡¤¥¹¥¤¥Ã¥Á¥ó¥°»þ¤ËȯÀ¸¤¹¤ëÃÙ±ä(°Ê²¼¡¤¥¹¥¤¥Ã¥Á¥ó¥°ÃÙ¤ì)¤¬·Ï¤Îʬ´ô¹½Â¤¤ËÂ礭¤Ê±Æ¶Á¤òµÚ¤Ü¤¹¤³¤È¤¬ÌÀ¤é¤«¤Ë¤Ê¤Ã¤¿¡¥¤³¤ì¤Ëȼ¤¤¡¤ÍýÁÛŪ¤Ç¤Ê¤¤¥¹¥¤¥Ã¥Á¥ó¥°Æ°ºî¤¬·Ï¤ËÍ¿¤¨¤ë±Æ¶Á¤Ë´Ø¤¹¤ë¸¦µæÊó¹ð¤â¹Ô¤Ê¤ï¤ì¤Ï¤¸¤á¤¿¡¥°ìÊý¡¤¼Â²óÏ©¥â¥Ç¥ë¤òÍѤ¤¤¿¸¡Æ¤¤Ï¤Û¤È¤ó¤É¹Ô¤Ê¤ï¤ì¤Æ¤¤¤Ê¤¤. ¤½¤³¤ÇËܹƤǤϥ¹¥¤¥Ã¥Á¥ó¥°ÃÙ¤ì¤òÍ­¤¹¤ë²óÏ©¥â¥Ç¥ë¤òÍѤ¤¡¤¥¹¥¤¥Ã¥Á¥ó¥°Ã٤줬·Ï¤Ë¤ª¤è¤Ü¤¹±Æ¶Á¤ò¼Â¸³Åª»ëÅÀ¤«¤é¸¡Æ¤¤¹¤ë¡¥


¥»¥Ã¥·¥ç¥ó Ba1-1 AD/DA
Æü»þ: 2009ǯ4·î20Æü(·î) 9:00-10:15
ºÂĹ: °ÂÅÄ ¾´ (Ë¡À¯Âç³Ø)

Ba1-1-1
Âê̾Ϣ³»þ´ÖBP¦¤¦²ADÊÑÄ´´ï¤ÎQÃͤȥ롼¥×ÃÙ±ä¤Î±Æ¶Á
Ãø¼Ô *ÎÓ ³¤·³, ÅÄî´ ÊþÇ·, ¸µß· ÆÆ»Ë (·²ÇÏÂç³ØÂç³Ø±¡ ¹©³Ø¸¦µæ²Ê), ¥í¥ì ¥Ñ¥¹¥«¥ë, ÈÓÄÍ Ë®É§ (¥·¥ã¡¼¥×³ô¼°²ñ¼Ò), ¾®ÎÓ ½ÕÉ×, »± Úß, ¹â°æ ¿­Ï (·²ÇÏÂç³ØÂç³Ø±¡ ¹©³Ø¸¦µæ²Ê)
Pagepp. 60 - 65
Keyword RF¥µ¥ó¥×¥ê¥ó¥°, Ϣ³»þ´Ö¦¤¦²£Á£ÄÊÑÄ´´ï, QÃÍ, ¥ë¡¼¥×ÃÙ±ä, ¥µ¥Ö¥µ¥ó¥×¥ê¥ó¥°
Abstract²æ¡¹¤Ï¥µ¥Ö¥µ¥ó¥×¥ê¥ó¥°µ»½Ñ¤òÍѤ¤¤¿¥Ð¥ó¥É¥Ñ¥¹¹â®Ϣ³»þ´Ö ¦¤¦²ADÊÑÄ´²óÏ©¤ËÍѤ¤¤¿È¯¿¶²óÏ©¤ÎÍ­¸ÂQÃͤ¬ÊÑÄ´²óÏ©¤ÎÁ´ÂΤÎSNR¤ËÂФ¹¤ë±Æ¶Á¤ò²òÀϤ·¡¢¥Ç¥¸¥¿¥ë¥Õ¥£¥ë¥¿¤òÍѤ¤¤ÆÊÑÄ´²óÏ©¤Î ¥Î¥¤¥ºÅÁã´Ø¿ô¤Ë¿·¤¿¤Ê¥¼¥íÅÀ¤ò²Ã¤¨¤ë¤³¤È¤ÇÁ´ÂΤÎÀºÅÙ¤ò¸þ¾å¤¹¤ëÊýË¡¤òÄ󰯤¹¤ë¡£¤Þ¤¿Ï¢Â³»þ´Ö¦¤¦²ADÊÑÄ´²óÏ©¤Î¥ë¡¼¥×ÃÙ±ä¤Ë¤Ä¤¤¤Æ¡¢ÊÑÄ´²óÏ©¤Î¥Ñ¥é¥á¡¼¥¿¤ò¥ë¡¼¥×ÃÙ±ä¤ÎÃͤˤè¤Ã¤ÆºÇŬ²½¤¹¤ë¤È¶¦¤ËÊÑÄ´²óÏ©¤ò¥Õ¥£¡¼¥É¥Õ¥©¥ï¡¼¥ÉÊý¼°¤Ë¤¹¤ë¤³¤È¤ÇÁ´ÂΤÎÀºÅÙ¤ò¸þ¾å¤¹¤ëÊýË¡¤òÄ󰯤¹¤ë¡£ Matlab¤ÈSpice¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤Ã¤ÆÄó°ÆÊýË¡¤ÎÍ­¸úÀ­¤ò³Îǧ¤·¤¿¡£

Ba1-1-2
Âê̾An SAR ADC Algorithm with Redundancy and Digital Error Correction
Ãø¼Ô *¾®Àî ÃÒɧ, ¾®ÎÓ ½ÕÉ× (·²ÇÏÂç³ØÂç³Ø±¡/¹©³Ø¸¦µæ²Ê), ËÙÅÄ ÀµÀ¸ (É𢹩¶ÈÂç³Ø/Ãμ±¹©³ØÉô), ¹â¶¶ Íβð, »± Úß, ¹â°æ ¿­Ï (·²ÇÏÂç³ØÂç³Ø±¡/¹©³Ø¸¦µæ²Ê)
Pagepp. 66 - 71
Keyword SAR ADC, Digital Error Correction, Non-binary, Redundancy
AbstractThis paper describes a redundant algorithm for a highly reliable Successive Approximation Register (SAR) ADC where mistakes of comparator decision can be digitally-corrected. We generalize a conventional non-binary search algorithm which requires more conversion steps in the SAR ADC than the binary search algorithm, and clarify which decision errors can be digitally-corrected with the derived redundant algorithm. We also shows that the sampling speed of the SAR ADC using the proposed algorithm can be faster when the incomplete settling effects of the DAC inside the SAR ADC are taken into account.

Ba1-1-3
Âê̾¥¿¥¤¥à¥¤¥ó¥¿¡¼¥ê¡¼¥ÖADC¤Î¿·µ¬LMS¥Ð¥Ã¥¯¥°¥é¥ó¥É¥­¥ã¥ê¥Ö¥ì¡¼¥·¥ç¥ó
Ãø¼Ô *¹â¶¶ ͧÈþ, ÂçÅç ½Ó, »³ÏÆ Âç¤ (ÆüΩÀ½ºî½êÃæ±û¸¦µæ½ê)
Pagepp. 72 - 77
Keyword ¥¿¥¤¥à¥¤¥ó¥¿¡¼¥ê¡¼¥Ö, £Á£Ä£Ã, £Ì£Í£Ó¥¢¥ë¥´¥ê¥º¥à
Abstract4G·ÈÂÓÅÅÏᢼ¡À¤Âå̵ÀþLAN¡¢¥ß¥êÇÈ̵Àþ¡¢10Gb/100Gb¥¤¡¼¥µ¥Í¥Ã¥È¸þ¤±¸÷Á÷¼õ¿®µ¡¤Ê¤É¤Ë¾­ÍèŬÍѤ¬¸«¹þ¤Þ¤ì¤ëA/DÊÑ´¹´ï¤Ï¡¢¥µ¥ó¥×¥ë¥ì¡¼¥È¤äʬ²òǽ¤Î»ÅÍͤϤ½¤ì¤¾¤ì°Û¤Ê¤ë¤â¤Î¤Î¡¢¤¤¤º¤ì¤â¸½¾õ¤ÎñÆÈ¤ÎA/DÊÑ´¹´ï¤Ç¼Â¸½¤¹¤ë¤Î¤¬º¤Æñ¤Ê¹â¥µ¥ó¥×¥ë¥ì¡¼¥È¤«¤Ä¹âʬ²òǽ¤òɬÍפȤ¹¤ë¡£¤½¤Î¤¿¤á¤Î½ÅÍ×µ»½Ñ¤È¤·¤Æ¡¢¥¿¥¤¥à¥¤¥ó¥¿¡¼¥ê¡¼¥Ö·¿A/DÊÑ´¹´ï¤¬ÃíÌܤò½¸¤á¤Æ¤¤¤ë¡£¥¿¥¤¥à¥¤¥ó¥¿¡¼¥ê¡¼¥Ö·¿A/DÊÑ´¹´ï¤Ï¡¢Ê£¿ô¤Îñ°ÌA/DÊÑ´¹Éô¤òÊÂÎóÆ°ºî¤µ¤»¤ë¤³¤È¤Ç¡¢¹â®¤Ê¥µ¥ó¥×¥ë¥ì¡¼¥È¤ò¸¶ÍýŪ¤Ë¤Ï¼Â¸½¤Ç¤­¤ë¡£¤·¤«¤·¡¢¼ÂºÝ¤Ï¡¢Ã±°ÌA/DÊÑ´¹Éô¤Î´Ö¤Ë¡¢ÊÑ´¹ÍøÆÀ¡¢DC¥ª¥Õ¥»¥Ã¥ÈÅ۵¡¢¥µ¥ó¥×¥ê¥ó¥°¥¿¥¤¥ß¥ó¥°¤Ê¤É¤Î¥ß¥¹¥Þ¥Ã¥Á¤¬¤¢¤ë¤È¡¢Åþã¤Ç¤­¤ë¼Â¸úʬ²òǽ¤¬Äã²¼¤¹¤ë¡£º£²ó¡¢¤³¤ì¤é¤Î³Æ¥ß¥¹¥Þ¥Ã¥Á¤ò¥ª¥ó¥Á¥Ã¥×¤Ç¥­¥ã¥ê¥Ö¥ì¡¼¥·¥ç¥ó¤¹¤ë¿·µ¬¼êË¡¤òÄ󰯤·¡¢¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ç¼Â¾Ú¤·¤¿¡£


¥»¥Ã¥·¥ç¥ó Ba1-2 ¥Õ¥£¥ë¥¿¡¦¹â¼þÇÈ
Æü»þ: 2009ǯ4·î20Æü(·î) 10:30-12:10
ºÂĹ: ÂçÅç ½Ó (ÆüΩÀ½ºî½ê)

Ba1-2-1
Âê̾TDC¤òÍѤ¤¤¿¥Õ¥£¥ë¥¿¤Î¼×ÃǼþÇÈ¿ôµÚ¤ÓQ¥Á¥å¡¼¥Ë¥ó¥°¤Ë´Ø¤¹¤ë¸¦µæ
Ãø¼Ô ƣ¼ À¬¹°, ¹â°æ ¿­ÏÂ, *ºÙë Ȼʿ, ¹â¶¶ ·ò»Ê (·²ÇÏÂç³Ø)
Pagepp. 78 - 83
Keyword TDC, ¥Ð¥ó¥É¥Ñ¥¹¥Õ¥£¥ë¥¿
Abstract¥Ç¥¸¥¿¥ë¿®¹æ¤Ë¤è¤ëÀ©¸æ¤Ï¡¢À©¸æ¤ËÍѤ¤¤ë¿ô¼°¤ÎÊѹ¹¤äÊ£»¨¤Ê·×»»¤¬É¬ÍפÊÀ©¸æ¤â²Äǽ¤ÊÅÀ¤ÇÍ­Íø¤Ç¤¢¤ë¡£ËܹƤǤϥե£¥ë¥¿¤ÎÆÃÀ­¤ò¸¡ÃΤ·¥Ç¥¸¥¿¥ë¿®¹æ¤ËÃÖ¤­´¹¤¨¡¢¤³¤Î¥Ç¥¸¥¿¥ë¿®¹æ¤Ë¤è¤Ã¤ÆÆÃÀ­¤òÀ©¸æ¤¹¤ë¼êË¡¤òÄ󰯤¹¤ë¡£ÆÃ¤Ë Gm-C ¥Ð¥ó¥É¥Ñ¥¹¥Õ¥£¥ë¥¿¤ÎÃæ¿´¼þÇÈ¿ô¡¢Q ÃͤÎÀ©¸æ¤ò¹Ô¤¦¡£Gm-C ¥Ð¥ó¥É¥Ñ¥¹¥Õ¥£¥ë¥¿¤Ï OTA ¤È¥­¥ã¥Ñ¥·¥¿¤Ç¹½À®¤µ¤ì¤ë¡£Ãæ¿´¼þÇÈ¿ô¤ä Q ÃÍ¤Ï OTA ¤Î¥È¥é¥ó¥¹¥³¥ó¥À¥¯¥¿¥ó¥¹¤òÊѲ½¤µ¤»¤ë¤³¤È¤ÇÀ©¸æ¤Ç¤­¤ë¡£¤½¤³¤Ç¥Õ¥£¥ë¥¿¤Î°ÌÁê¾ðÊó¤ò¥Ç¥¸¥¿¥ë¿®¹æ¤ËÃÖ¤­´¹¤¨¡¢¤³¤Î¥Ç¥¸¥¿¥ë¿®¹æ¤Ç OTA ¤Î¥È¥é¥ó¥¹¥³¥ó¥À¥¯¥¿¥ó¥¹¤òÊѲ½¤µ¤»¤ë¡£¤³¤ì¤é¤Îưºî¤ò²óÏ©¤òÀ߷פ·¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ç³Îǧ¤·¡¢Ä󰯼êË¡¤ÎÂÅÅöÀ­¤ò¸¡Æ¤¤¹¤ë¡£

Ba1-2-2
Âê̾¥¤¥ó¥Ð¡¼¥¿¥¿¥¤¥×Gm-C ¥Ð¥ó¥É¥Ñ¥¹¥Õ¥£¥ë¥¿¤Î²òÀϤÈÀß·×
Ãø¼Ô *ÎÓ ³¤·³, ÅÄÊÕ ÊþÇ·, »± Úß, ¾®ÎÓ ½ÕÉ× (·²ÇÏÂç³ØÂç³Ø±¡ ¹©³Ø¸¦µæ²Ê)
Pagepp. 84 - 89
Keyword Gm-C¥Ð¥ó¥É¥Ñ¥¹¥Õ¥£¥ë¥¿, CMOS¥¤¥ó¥Ð¡¼¥¿, Äã¾ÃÈñÅÅÎÏ, ¹â¼þÇÈ, OTA
AbstractËÜÏÀʸ¤Ç¤Ï½¾ÍèNauta OTA²óÏ©¤Î°ÂÄêÀ­¤ò²òÀϤ·,OTA¤Î¥È¥é¥ó¥¸¥¹¥¿¥µ¥¤¥º¤ÎºÇŬ²½¤ò¹Ô¤Ã¤¿. ¤Þ¤¿À©¸æ²óÏ©¤ò¶¦Í­¤¹¤ëCMOS¥¤¥ó¥Ð¡¼¥¿¥¿¥¤¥×¤Î2¼¡Gm-C¥Ð¥ó¥É¥Ñ¥¹¥Õ¥£¥ë¥¿¤Î¹½À®¤ò¸¡Æ¤¤·, ¤½¤Î²òÀϤª¤è¤ÓÀ߷פò¹Ô¤Ã¤¿. ²óÏ©Àß·×¾å¤Î¾ÃÈñÅÅÎÏ,QÃÍ, °ÂÄêÀ­,¥Î¥¤¥ºÆÃÀ­¤Î¥È¥ì¡¼¥É¥ª¥Õ¤Î´Ø·¸¤òÌÀ³Î²½¤·,¤½¤ì¤é¤Î´Ø·¸¤ò¹Íθ¤·¤¿Äã¾ÃÈñÅÅÎÏ¡¦¹â¼þÇÈ¥Õ¥£¥ë¥¿¤ÎÀß·×Ë¡¤òÄ󰯤·¤¿. TSMC0.18um CMOS¥×¥í¥»¥¹¤òÍѤ¤¤ÆÀ߷פ·¤¿¾ì¹ç, ¸¡Æ¤¤·¤¿²óÏ©¹½À®¤ÏNauta OTA²óÏ©¤òÍѤ¤¤¿½¾Íè²óÏ©¤ËÈæ¤Ù¤Æ¾ÃÈñÅÅÎϤ¬²òÀϤ«¤é67%¤Îºï¸º¤¬·×»»¤Ç¤­,¼ÂºÝ¤Î»îºî¥Á¥Ã¥×¤Î¬Ä꤫¤é ¤Ï¥È¥é¥ó¥¸¥¹¥¿¥µ¥¤¥º¤òºÇŬ²½¤·¤¿Nauta OTA²óÏ© ¤òÍѤ¤¤¿½¾Íè²óÏ©¤ËÈæ¤Ù¤Æ27%¤Îºï¸º¤¬³Îǧ¤Ç¤­¤¿.

Ba1-2-3
Âê̾A Novel CMOS BPSK Detection Scheme for UWB Impulse-Radio Communication
Ãø¼Ô *Mohiuddin Hafiz, µÈÀî ¸øËû (¹­ÅçÂç³Ø ¥Ê¥Î¥Ç¥Ð¥¤¥¹¡¦¥Ð¥¤¥ªÍ»¹ç²Ê³Ø¸¦µæ½ê)
Pagepp. 90 - 95
Keyword UWB, BPSK, CMOS, low power, low complexity
AbstractA novel detection procedure for ultra-wideband (UWB) impulse radio has been presented here. The proposed architecture employs a low power, low complexity, non-coherent Bi-Phase Shift Keying (BPSK) receiver. Differential Gaussian Monocycle Pulse (GMP) templates of center frequency 5 GHz, modulated by data, are received for detection. The basic concept of data retrieval is blanking of the signals based on the priority of their arrivals. The chip is designed in a 0.18 μm CMOS process with a supply voltage of 1.8V. The die area of the chip is 0.12 μm2 and its power consumption is 160 μW for a data rate up to 200Mb/s.

Ba1-2-4
Âê̾¹­ÂӰ衦Äã°ÌÁ껨²»¡¦º¹Æ°·¿¥ê¥ó¥°VCO¤ÎÀß·×
Ãø¼Ô *Âç²¼ δÀ¸ (Åìµþ¹©¶ÈÂç³ØÅý¹ç¸¦µæ±¡ / ¥¤¥ó¥Æ¥ë¼Ò), Å·Àî ½¤Ê¿, Àи¶ ¾º, ±× °ìºÈ (Åìµþ¹©¶ÈÂç³ØÅý¹ç¸¦µæ±¡)
Pagepp. 96 - 100
Keyword ¥ê¥ó¥°È¯¿¶´ï, VCO, °ÌÁ껨²», ¹­ÂÓ°è, º¹Æ°·¿
Abstract¶áǯ¡¢°Û¤Ê¤ë¼þÇÈ¿ôÂÓ°è¤ÎÊ£¿ô¤ÎRF»ÅÍͤò°ì¤Ä¤Î¥·¥ê¥³¥ó¾å¤Ë¼ý¤á¤¿¥Þ¥ë¥ÁŽ¥¥Ð¥ó¥É¤Î¥Á¥Ã¥×¤ËÂФ¹¤ë¼ûÍפ¬ÈôÌöŪ¤Ë¹â¤Þ¤ê¡¢¤½¤ì¤ò¼Â¸½¤¹¤ë¤¿¤á¤Î¹­ÂÓ°èȯ¿¶²óÏ©¤ËÂФ¹¤ë´üÂÔ¤¬¹â¤Þ¤Ã¤Æ¤¤¤ë. ²æ¡¹¤Ï¡¢¥ê¥ó¥°VCO¤ò¥Ù¡¼¥¹¤Ë¤·¤¿¹­ÂӰ褫¤ÄÄã°ÌÁ껨²»¤Îȯ¿¶´ï¤òÄ󰯤¹¤ë¡£²æ¡¹¤¬Ä󰯤¹¤ëȯ¿¶´ï¤Ï¡¢º¹Æ°·¿VCO¤Ç¡¢ÆþÎϤ˱þ¤¸¤ÆÃٱ䥻¥ë¤ÎÅÅή¸»¤òǽưŪ¤ËÀ©¸æ¤¹¤ë¤³¤È¤Ë¤è¤ê¹­ÂÓ°è²½¤òãÀ®¤·¤Æ¤¤¤ë¡£¥¢¥¤¥Ç¥£¥¢¼«ÂΤϥê¥×¥ê¥«Ž¥¥Ð¥¤¥¢¥¹Êý¼°¤ÈÎà»÷¤·¤Æ¤¤¤ë¤¬¡¢¾¯¤Ê¤¤Áǻҿô¤ÇƱ¤¸µ¡Ç½¤òãÀ®¤·¤Æ¤¤¤ë¡£ ²æ¡¹¤Ï¡¢Ä󰯤¹¤ë¥ê¥ó¥°VCO¤Î¹­ÂÓ°èÆ°ºî¤ÈƱ»þ¤Ë¡¢°ÌÁ껨²»¤ò¡¢¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¡¢¼Â¬¤ÎξÌ̤«¤éɾ²Á¤·¡¢¤½¤ÎÍ­¸úÀ­¤ò³Îǧ¤·¤¿¡£¹­ÂÓ°èÆ°ºî¤Ë´Ø¤·¤Æ¤Ï¡¢¿ôÉ´MHz¤«¤é£³GH£ú¤Þ¤Ç¤Î¹­ÂÓ°èÆ°ºî¤ò¼Â¬¤Ë¤è¤ê³Îǧ¤·¡¢Ä㻨²»ÆÃÀ­¤Ë¤Ä¤¤¤Æ¤Ï¡¢¥­¥ã¥ê¥¢¤«¤é1MHzÎ¥¤ì¤¿¼þÇÈ¿ô¤Ë¤ª¤¤¤Æ¡¢¥³¥ó¥¹¥¿¥ó¥È¤Ë¤«¤Ä¹­¤¤È¯¿¶¼þÇÈ¿ô¤Ë¤ª¤¤¤Æ¡¢¡Ý90dBc/HzÂæ¸åȾ¤Î¿ôÃͤò·×¬¤·¤¿¡£


¥»¥Ã¥·¥ç¥ó Ba1-3 [ÆÃÊֱ̹é] ÄãÅ۵ÈùºÙCMOS»þÂå¤ÎAD/DAÊÑ´¹µ»½ÑI
Æü»þ: 2009ǯ4·î20Æü(·î) 13:30-15:10
ºÂĹ: ËÙÅÄ ÀµÀ¸ (ÅìµþÅÔ»ÔÂç³Ø)

Ba1-3-1
Âê̾(¾·ÂÔ) ¥Ñ¥¤¥×¥é¥¤¥óADC¤ÎÄãÅ۵µ»½Ñ
Ãø¼Ô *ÄÍËÜ »°Ï» (ÉÙ»ÎÄ̸¦µæ½ê)
Pagepp. 101 - 106
Keyword A/DÊÑ´¹´ï, ¥Ð¥¤¥¢¥¹, ¥Ö¡¼¥È¥¹¥È¥é¥Ã¥×¥¹¥¤¥Ã¥Á, ¥ª¥Ú¥¢¥ó¥×, ¥³¥ó¥Ñ¥ì¡¼¥¿
Abstract¥Ñ¥¤¥×¥é¥¤¥óA/DÊÑ´¹´ï¤Ï¥×¥í¥»¥¹¤ÎÈùºÙ²½¤È²óÏ©µ»½Ñ¤Ë¤è¤Ã¤ÆÇ¯¡¹¿Ê²½¤·¡¢ÄÌ¿®µ¡´ï¤ä²èÁü½èÍýÅù¤ËÉý¹­¤¯»ÈÍѤµ¤ì¤ë¤Ë»ê¤Ã¤Æ¤¤¤ë¡£ÆÃ¤Ë¥Ð¥Ã¥Æ¥ê¡¼¤Çưºî¤¹¤ë·ÈÂÓµ¡´ï¤Ç¤ÏÄã¾ÃÈñÅÅÎϲ½¤Ï¼Â»ÈÍÑ»þ´Ö¤ËľÀܱƶÁ¤¹¤ë¤¿¤á½ÅÍפǤ¢¤ë¡£¤³¤ì¤Þ¤Ç¤Ï¥×¥í¥»¥¹¤ÎÈùºÙ²½¤È¤½¤ì¤Ëȼ¤¦ÅŸ»Å۵¤ÎÄã²¼¤¬A/DÊÑ´¹´ï¤Ë¤Ï¥×¥é¥¹¤ËºîÍѤ·¤¿¡£¤·¤«¤·¡¢100nm¤òÀÚ¤ëÈùºÙ¥×¥í¥»¥¹¤Ç¤Ï¹¹¤Ê¤ëÅŸ»Å۵¤ÎÄã²¼¤Ë¤è¤Ã¤Æ¥¢¥Ê¥í¥°¿®¹æ¼«ÂΤο¶Éý¤Î¸º¾¯¤Ë¤è¤ë¥Î¥¤¥º¤ÎÊÀ³²¡¢¥È¥é¥ó¥¸¥¹¥¿ÆÃÀ­¤ÎÌäÂê¤ÇA/DÊÑ´¹´ï¤ò¤Ï¤¸¤á¤È¤¹¤ë¥¢¥Ê¥í¥°²óÏ©À߷פϹâÅ٤ʵ»½Ñ¤¬Í׵ᤵ¤ì¤ë¤è¤¦¤Ë¤Ê¤Ã¤¿¡£ËܹƤǤϤ³¤ì¤é¤ÎÌäÂê¤ËÂФ¹¤ëºÇ¶á¤ÎA/DÊÑ´¹´ï¤Î²óÏ©µ»½Ñ¤Ë¤Ä¤¤¤Æ³µÀ⤹¤ë¡£

Ba1-3-2
Âê̾(¾·ÂÔ) ¥Ñ¥¤¥×¥é¥¤¥óADÊÑ´¹´ï¤Î¥Ç¥¸¥¿¥ë¥¢¥·¥¹¥Èµ»½Ñ
Ãø¼Ô *Àî¿Í ¾ÍÆó (ÀŲ¬Âç³Ø)
Pagepp. 107 - 112
Keyword ¥Ç¥¸¥¿¥ë¥¢¥·¥¹¥È, ¥Ñ¥¤¥×¥é¥¤¥ó£Á£Ä£Ã, ¥Ð¥Ã¥¯¥°¥é¥¦¥ó¥É¥­¥ã¥ê¥Ö¥ì¡¼¥·¥ç¥ó, µ¿»÷Íð¿ô
Abstract¥Ñ¥¤¥×¥é¥¤¥óADC¤Ç¤Ï¡¢¥Ç¥Ð¥¤¥¹¤Î¥ß¥¹¥Þ¥Ã¥Á¡¢¥¢¥ó¥×¤ÎÍ­¸ÂÍøÆÀÅù¤¬ADC¤Îʬ²òǽ¤ò·è¤á¤ë¡£ºÇ¶á¤³¤Î¤è¤¦¤Ê¥¢¥Ê¥í¥°²óÏ©¤¬È¯À¸¤¹¤ë¸íº¹¤ò¥Ç¥¸¥¿¥ëÎΰè¤ÇÊäÀµ¤¹¤ë¥Ç¥¸¥¿¥ë¥¢¥·¥¹¥Èµ»½Ñ¡¢ÆÃ¤Ëµ¿»÷Íð¿ô¤òÃíÆþ¤·¤Æ¥Ç¥¸¥¿¥ëÎΰè¤Ç¸íº¹ÊäÀµ·¸¿ô¤ò¥Ð¥Ã¥¯¥°¥é¥ó¥É¤Çµá¤á¤ÆÊäÀµ¤¹¤ëµ»½Ñ¤¬ÃíÌܤò½¸¤á¤Æ¤¤¤ë¡£ÆÃ¤Ë¤³¤ì¤é¤Ïº£¸å¤ÎÈùºÙ²½¤Ëȼ¤¦¥¢¥Ê¥í¥°À­Ç½¤ÎÎô²½¤ò¥«¥Ð¡¼¤¹¤ë¾å¤Çɬ¿Ü¤Îµ»½Ñ¤È¤Ê¤ë¤È¹Í¤¨¤é¤ì¤ë¡£ËÜÏÀʸ¤Ç¤Ï¡¢¥Ñ¥¤¥×¥é¥¤¥ó£Á£Ä£Ã¤ÎÀºÅÙÅù¤ò·è¤á¤ëÍ×°ø¤ò¼¨¤·¡¢¤½¤ì¤é¤ò¥Ç¥¸¥¿¥ëÎΰè¤ÇÊäÀµ¤¹¤ëµ»½Ñ¤Ë¤Ä¤¤¤Æ²òÀ⤹¤ë¡£


¥»¥Ã¥·¥ç¥ó Ba1-4 [ÆÃÊֱ̹é] ÄãÅ۵ÈùºÙCMOS»þÂå¤ÎAD/DAÊÑ´¹µ»½ÑII
Æü»þ: 2009ǯ4·î20Æü(·î) 15:30-16:30
ºÂĹ: ËÙÅÄ ÀµÀ¸ (ÅìµþÅÔ»ÔÂç³Ø)

Ba1-4-1
Âê̾(¾·ÂÔ) ¥Ê¥ÎCMOS»þÂå¤Î¥¢¥Ê¥í¥°²óÏ©Àß·× ¡Ý¥Ç¥¸¥¿¥ë¥¢¥·¥¹¥ÈADÊÑ´¹µ»½Ñ¤òÃæ¿´¤È¤·¤Æ¡Ý
Ãø¼Ô *¾®ÎÓ ½ÕÉ× (·²ÇÏÂç³Ø)
Pagepp. 113 - 118
Keyword ¥Ç¥¸¥¿¥ë¡¦¥¢¥·¥¹¥È¡¦¥¢¥Ê¥í¥°µ»½Ñ, »þ´ÖÎΰ襢¥Ê¥í¥°, ¥Ç¥¸¥¿¥ë¸íº¹ÊäÀµ, ¼«¸Ê¹»Àµ, ¥Ê¥ÎCMOS¥¢¥Ê¥í¥°
Abstract¤³¤ÎÏÀʸ¤Ç¤Ï¥Ê¥ÎCMOS¤Ç¤ÎSOC¤Î¥¢¥Ê¥í¥°²óÏ©Éô¤ÎÀß·×»×Á֥ۡǥ¸¥¿¥ë¥¢¥·¥¹¥È¥¢¥Ê¥í¥°µ»½Ñ¡×¤Ë¤Ä¤¤¤Æµ­½Ò¤¹¤ë. CMOSÈùºÙ¤Ç¤ÎSOC¤Ç¤Î¥¢¥Ê¥í¥°Éô¤ò¥Ç¥¸¥¿¥ëµ»½Ñ¤òÍѤ¤¤ÆÈùºÙ²½¤Ë¤è¤êÀ­Ç½¸þ¾å¤ò¿Þ¤ê, ½é²ó¤Î»îºî¤Çưºî¤µ¤»¤Þ¤¿²óÏ©¤Î¥×¥í¥»¥¹¥Ý¡¼¥¿¥Ó¥ê¥Æ¥¤¤ò ¸þ¾å¤µ¤»¤ë.


¥»¥Ã¥·¥ç¥ó Bd1-1 ¥Õ¥£¥ë¥¿ÍýÏÀ
Æü»þ: 2009ǯ4·î20Æü(·î) 9:00-10:15
ºÂĹ: Ȭ´¬ ½ÓÊå (ÅìËÌÂç³Ø)

Bd1-1-1
Âê̾¸íº¹¤ËÂФ¹¤ë½êÍ¿¤ÎºÇ°­ÃÍɾ²Á¼ÜÅÙ¤òºÇ¾®²½¤¹¤ëÈóÀþ·Á²òÀÏ¥Õ¥£¥ë¥¿¤òȼ¤¦¥Õ¥£¥ë¥¿¥Ð¥ó¥¯¤Ë´ð¤Å¤¯ÆâÁÞ¶á»÷ÍýÏÀ
Ãø¼Ô *ÌÚÅÄ Íº°ì (±ü±©Âç³ØÌô³ØÉô), ÌÚÅÄ ÂóϺ (Åìµþ¹©¶ÈÂç³ØÌ¾ÍÀ¶µ¼ø, ÆüËÜÂç³Ø¥Õ¥§¥í¡¼)
Pagepp. 119 - 123
Keyword Non-linear approximation, Filter bank, The optimum approximation
Abstractʸ¸¥[1]¤Ë¤ª¤¤¤Æ¡¤´Ø¿ô¥Ù¥¯¥È¥ë¤È¤·¤ÆÍ¿¤¨¤é¤ì¤ë¼þÇÈ¿ô¥¹¥Ú¥¯¥È¥ë¤È³Ë´Ø¿ô¥Ù¥¯¥È¥ë¤È¤ÎÆâÀѤο¼¡¸µ¥Õ¡¼¥ê¥¨µÕÊÑ´¹¤È¤·¤ÆÆÀ¤é¤ì¤ë¿¼¡¸µ¥Ù¥¯¥È¥ë¿®¹æ¤ËÂФ¹¤ë¡¤ºÇŬÆâÁÞ¶á»÷ÍýÏÀ¤¬¼¨¤µ¤ì¤Æ¤¤¤ë¡£¤³¤ÎÍýÏÀ¤Ç¤Ï¡¢ÆâÁÞ¶á»÷¤ò°ìÈ̲½¤µ¤ì¤¿Â¿¼¡¸µ¥Õ¥£¥ë¥¿¥Ð¥ó¥¯¤òÍѤ¤¤Æ¥â¥Ç¥ë²½¤·¤Æ¤¤¤ë¤¬¡¢²òÀÏ¥Õ¥£¥ë¥¿¤ÏÀþ·Á¤Ë¸Â¤é¤ì¤Æ¤¤¤ë¡£ ËÜÏÀʸ¤Ç¤Ï¡¢¾åµ­¤Î¿¼¡¸µ¥Ù¥¯¥È¥ë¿®¹æ¤ËÂФ¹¤ëºÇŬÆâÁÞ¶á»÷ÍýÏÀ¤ò±þÍѤ·¤Æ¡¢¥Õ¥£¥ë¥¿¥Ð¥ó¥¯¤Î²òÀÏ¥Õ¥£¥ë¥¿¤¬ÈóÀþ·ÁÆÃÀ­¤òÍ­¤¹¤ë¾ì¹ç¤Ë¤ª¤¤¤Æ¡¢¸íº¹¤ËÂФ¹¤ëÍ¿¤¨¤é¤ì¤¿É¾²Á¼ÜÅ٤ξå¸ÂÃͤòºÇ¾®²½¤¹¤ëÆâÁÞ¶á»÷¤ÎÍýÏÀ¤ò¹½ÃÛ¤¹¤ë¡£ »²¹Íʸ¸¥[1] Y.Kida, T.Kida: "Theory of the optimum approximation of vector-signals with applications", Proceedings of The 2004 47th Midwest Symposium on Circuits and Systems (IEEE MWSCAS 2004), Volume 2, pp.25-28, 2004.

Bd1-1-2
Âê̾ñĴ¤ÊÁ«°Ü°è¤ò¤â¤ÄIIR¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿¤ÎÀ߷פΤ¿¤á¤ÎÈ¿Éü¼êË¡
Ãø¼Ô *²ÏÌî ·ò, °¤Éô Àµ±Ñ, ÀîËô À¯À¬ (ÅìËÌÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²ÊÅŻҹ©³ØÀì¹¶)
Pagepp. 124 - 129
Keyword ¥Õ¥£¥ë¥¿Àß·×, IIR¥Õ¥£¥ë¥¿, ñĴ¤ÊÁ«°Ü°è
AbstractËÜÏÀʸ¤Ç¤Ï¡¤Ã±Ä´¤ÊÁ«°Ü°è¤ò¤â¤ÄIIR ¥Õ¥£¥ë¥¿¤ÎÀß·×Ë¡¤òÄ󰯤¹¤ë¡¥ Á«°Ü°èñĴÀ­¤òÊݾڤ¹¤ë¤¿¤á¤Ë¡¤Á«°Ü°è¿¶Éý±þÅú¤ÎƳ´Ø¿ô¤Ë¥Ô¡¼¥¯À©Ìó¤ò²Ý¤¹¡¥ºÇŬ²½ÌäÂê¤ò´Êñ²½¤¹¤ë¤¿¤á¤Ë¡¤¥Õ¥£¥ë¥¿·¸¿ô¤Ë¤Ä¤¤¤ÆÈóÀþ·Á¤ÊƳ´Ø¿ôÀ©Ìó¤òÀþ·Á¶á»÷¤¹¤ë¡¥Á«°Ü°èñĴÀ­¤Ï¡¤¶Ë¤á¤Æ¾¯¿ô¤ÎÀþ·ÁÀ©Ìó¤ò¾ò·ï¤È¤¹¤ëÈ¿ÉüºÇŬ²½¤Ë¤è¤êãÀ®¤Ç¤­¤ë¡¥ºÇŬ²½¤Ç¤Ï¡¤ºÇ¾®2¾è¸íº¹¤äChebyshev¸íº¹¡¤¥Ô¡¼¥¯À©ÌóÉÕ¤­ºÇ¾®2¾è¡ÊPCLS¡Ë¸íº¹¤Ê¤É¤Î¤µ¤Þ¤¶¤Þ¤ÊºÇŬÀ­´ð½à¤ò°·¤¦¤³¤È¤¬¤Ç¤­¤ë¡¥Äó°ÆË¡¤ÎÍ­¸úÀ­¤ò¼Â¾Ú¤¹¤ë¤¿¤á¤ËºÇ¾®2¾èÀ߷פÎ1Îã¤òÍ¿¤¨¤ë¡¥

Bd1-1-3
Âê̾The Optimum Discrete Running Approximation of Multi-Dimensional Time-Limited Signals
Ãø¼Ô *Yuichi Kida (The School of Pharmaceutical Sciences, Ohu University), Takuro Kida (Professor Emeritus, Tokyo Institute of Technology and Nihon University fellow)
Pagepp. 130 - 135
Keyword Multi-Dimensional Signal Processing, Filter Bank, The optimum approximation
AbstractRelating to delivery of moving pictures through the Internet or RTI in an urgent disaster, real-time scene of a video needing a sense of reality, or chase of multi-targets, and shooting games of multiplayer, and so on, it becomes important to realize a N-dimensional FIR filter bank minimizing various worst-case measures of running approximation error simultaneously that chases traces of solids under the condition that a N-dimensional analysis filter bank is prescribed. However, this problem has not been solved, yet. In this paper, we present N-dimensional running discrete approximation that minimizes various worst-case measures of error, simultaneously. We show continuous space-limited N-dimensional interpolation functions satisfying condition called discrete orthogonality, and we present a set of signals that satisfy two conditions of the optimum approximation.


¥»¥Ã¥·¥ç¥ó Bd1-2 ư²èÁüÉ乿²½
Æü»þ: 2009ǯ4·î20Æü(·î) 10:45-12:00
ºÂĹ: ¹õºê Àµ¹Ô (¶å½£¹©¶ÈÂç³ØÂç³Ø±¡¾ðÊ󹩳ظ¦µæ±¡ÅŻҾðÊ󹩳ظ¦µæ·Ï)

Bd1-2-1
Âê̾H.264/SVC¤Ë¤ª¤±¤ëEnhancement¥ì¥¤¥ä¡¼É乿²½»þ¤Îư¤­Ãµº÷ÈϰϤκÇŬ²½¤Ë´Ø¤¹¤ë¸¦µæ
Ãø¼Ô *ÊÒ»³ µ®Ê¸, ¿¹¾å µÁ¿ò (ÆÁÅçÂç³ØÂç³Ø±¡ Àèüµ»½Ñ²Ê³Ø¶µ°éÉô ¥·¥¹¥Æ¥àÁÏÀ¸¹©³ØÀì¹¶), Á× Å· (ÆÁÅçÂç³ØÂç³Ø±¡ ¥½¥·¥ª¥Æ¥¯¥Î¥µ¥¤¥¨¥ó¥¹¸¦µæÉô ¾ðÊó¥½¥ê¥å¡¼¥·¥ç¥óÉôÌç), ÅçËÜ Î´ (ÆÁÅçÂç³Ø)
Pagepp. 136 - 141
Keyword H.264/SVC
Abstract¶áǯ¡¤¥Í¥Ã¥È¥ï¡¼¥¯´Ä¶­¤ä¥¢¥×¥ê¥±¡¼¥·¥ç¥ó¤Î¿ÍͲ½¤Ë¤è¤ê¡¤¥¹¥±¡¼¥é¥Ó¥ê¥Æ¥£¤ò¼Â¸½¤¹¤ëÉ乿²½É¸½à¤¬É¬ÍפȤµ¤ì¤Æ¤¤¤ë¡¥¤½¤ÎÍ׵ᤫ¤é¡¤H.264/MPEG4-AVC¤Î¥¹¥±¡¼¥é¥Ó¥ê¥Æ¥£¤ò¼Â¸½¤¹¤ë¤¿¤á¤Î³ÈÄ¥¤¬H.264/MPEG4-SVC¡ÊScalable Video Coding¡Ë¤È¤·¤ÆITU-T¤ÎVCEG¡ÊVideo Coding Experts Group¡Ë¤Ë¤è¤Ã¤Æ¡¤2007ǯ11·î¤Ëɸ½à²½¤µ¤ì¤¿¡¥SVC¤Ç¤Ï¡¤»þ´Ö¡¤¶õ´Ö¡¤ÉʼÁ¤Î¥¹¥±¡¼¥é¥Ó¥ê¥Æ¥£¤ò1¤Ä¤Î¥Ó¥Ã¥È¥¹¥È¥ê¡¼¥à¤ÇÄ󶡤¹¤ë¤³¤È¤òÌÜŪ¤È¤·¤Æ¤¤¤ë¡¥ËܹƤǤϡ¤¤½¤ÎÃæ¤Î¶õ´Ö¥¹¥±¡¼¥é¥Ó¥ê¥Æ¥£µ¡Ç½¤ËÃåÌܤ¹¤ë¡¥¤Þ¤º¡¤Enhancement¥ì¥¤¥ä¡¼É乿²½»þ¡¤É乿²½ºÑ¤ßBase¥ì¥¤¥ä¡¼¤Îư¤­¥Ù¥¯¥È¥ë¤òÍѤ¤¤Æ¡¤Ãµº÷Ãæ¿´¤Î²þÎɤòÄ󰯤¹¤ë¡¥¤½¤ì¤Ë´ð¤Å¤­¡¤Ãµº÷ÈϰϤòŬ±þŪ¤ËÀ©¸æ¤¹¤ë¥¢¥ë¥´¥ê¥º¥à¤ò¸¡Æ¤¤¹¤ë¡¥ºÇ¸å¤Ë¡¤Ä󰯼êË¡¤ò¼ÂÁõ¤·¡¤¤½¤ÎÀ­Ç½¤òɾ²Á¤¹¤ë¡¥

Bd1-2-2
Âê̾H.264 ¸þ¤±Î̻Ҳ½¥Ñ¥é¥á¡¼¥¿¤ò¹Íθ¤·¤¿Æ°¤­¥Ù¥¯¥È¥ë¸¡½Ð¼êË¡¤Î°ì¸¡Æ¤
Ãø¼Ô *¾®Åç ¹¯²ð (ÂçºåÅŵ¤ÄÌ¿®Âç³Ø Âç³Ø±¡¹©³Ø¸¦µæ²Ê), ¶¶ËÜ Î¼»Ê (ÂçºåÂç³Ø Âç³Ø±¡¾ðÊó²Ê³Ø¸¦µæ²Ê), Æ£ÅÄ ¸¼ (ÂçºåÅŵ¤ÄÌ¿®Âç³Ø Âç³Ø±¡¹©³Ø¸¦µæ²Ê)
Pagepp. 142 - 147
Keyword H.264, RDO, ư¤­¸¡½Ð, Î̻Ҳ½
AbstractH.264¤ÎÍ¥¤ì¤¿¥Ñ¥é¥á¡¼¥¿·èÄê¼êË¡¤È¤·¤ÆRDO¤¬ÃΤé¤ì¤Æ¤¤¤ë¡¥ RDO ¤ÏŬÀڤʥѥé¥á¡¼¥¿ÁªÂò¤ò¹Ô¤¨¤ë¤¬¡¤½èÍýÎ̤¬Èó¾ï¤ËÂ礭¤¯¡¤ÁªÂò»è¤Î¿¤¤¥Ñ¥é¥á¡¼¥¿¤Ø¤ÎŬÍѤ¬Æñ¤·¤¤¡¥ ´û¸¤Îư¤­¸¡½Ð¤Ï¹â®¤Ëưºî¤Ç¤­¤ë¤¬¡¤RDO ¤ËÈæ¤Ù¤ÆÅ¬ÀÚ¤ÊÆ°¤­¥Ù¥¯¥È¥ë¤òÁªÂò¤Ç¤­¤Æ¤¤¤ë¤È¤Ï¸Â¤é¤Ê¤¤¡¥ ¤Þ¤¿Î̻Ҳ½¥Ñ¥é¥á¡¼¥¿¤Ï¡¤¼ç¤ËÉ乿²½¸úΨ¤Î¸þ¾å¤½¤Î¤â¤Î¤òÌÜŪ¤È¤·¤ÆÍѤ¤¤é¤ì¤ë»ö¤Ï¤Û¤È¤ó¤É¤Ê¤¤¡¥ ËܹƤǤϡ¤Î̻Ҳ½¥Ñ¥é¥á¡¼¥¿¤ò¹Íθ¤·¤¿Æ°¤­¸¡½Ð¼êË¡¤òÄ󰯤¹¤ë¡¥ ´û¸¤ÎÊý¼°¤ËÈæ¤Ù,3¡Á4ÇÜ ¤Î¼Â¹Ô»þ´Ö¤ÏÁý²Ã¤¹¤ë¤¬,3.44%¡Á7.21%¤Î¥Ó¥Ã¥ÈÎ̺︺¤ò¼Â¸½¤·¤¿.

Bd1-2-3
Âê̾SATD´ð½à¤Ë¤ª¤±¤ëH.264/AVC¤Î¹â®¥â¡¼¥ÉȽÄêË¡
Ãø¼Ô *·¦»³ ͺÂÀ, ¸Å²ì ¾¼¹À (µ×Î±ÊÆ¹©¶È¹âÅùÀìÌç³Ø¹» Àì¹¶²Ê), ¹õÌÚ ¾Í¸÷ (µ×Î±ÊÆ¹©¶È¹âÅùÀìÌç³Ø¹» À©¸æ¾ðÊ󹩳زÊ)
Pagepp. 148 - 152
Keyword H.264/AVC, ¥â¡¼¥ÉȽÄê, ¹â®²½, ư¤­Êä½þͽ¬, ¥¤¥ó¥È¥éͽ¬
AbstractH.264/AVC¤Ï¡¤¤µ¤Þ¤¶¤Þ¤Êµ¡Ç½¤È¹â¤¤°µ½Ì¸úΨ¤ò»ý¤Ã¤¿Æ°²è°µ½Ìµ¬³Ê¤Ç¤¢¤ë¡¥ ¤³¤ÎH.264/AVC¤Ïư²è°µ½Ìµ»½Ñ¤Ç¤¢¤ë¥¤¥ó¥È¥éͽ¬¡¤¥¤¥ó¥¿¡¼Í½Â¬¤ËÂФ·ÍÍ¡¹¤Ê ¥â¡¼¥É¤òÍѰդ·¤Æ¤¤¤ë¤¿¤á¡¤ºÇŬ¤Ê¤â¤Î¤ò·èÄꤹ¤ë¤¿¤á¿¤¯¤Î»þ´Ö¤òɬÍפȤ¹¤ë¡¥ ¤³¤ÎÌäÂê¤ËÂФ·¡¤¸Å²ì¤é¤ÏSATD´ð½à¤Î¥â¡¼¥ÉÁªÂò¤Ë¤ª¤¤¤Æ¡¤Í½Â¬²èÁü¥Ö¥í¥Ã¥¯¤È¸¶²èÁü¥Ö¥í¥Ã¥¯¤Îº¹Ê¬¤òɸ½à´ðÄì¤Ø¼Í±Æ¤¹¤ë¤³¤È¤Ë¤è¤ê¡¤ ¹â®¤Ë·èÄꤹ¤ë¤È¤¤¤¦¼êË¡¤òÄ󰯤·¤¿¡¥ Ëܸ¦µæ¤Ç¤Ï¡¤¸Å²ì¤é¤Î¼êË¡¤ò´ð¤Ë¡¤¤è¤ê¹â®¤Ë¥â¡¼¥É¤ò·èÄꤹ¤ë¼êË¡¤òÄ󰯤·¡¤¸¡Æ¤¤¹¤ë¡¥ ¤½¤Î·ë²Ì¤È¤·¤Æ¡¤²è¼ÁµÚ¤Ó°µ½ÌΨ¤ò°Ý»ý¤·¤¿¤Þ¤ÞÌó1.7%É乿²½»þ´Ö¤òû½Ì¤¹¤ë¤³¤È¤¬¤Ç¤­¤¿¡¥


¥»¥Ã¥·¥ç¥ó Bd1-3 ¿®¹æ½èÍý±þÍÑ
Æü»þ: 2009ǯ4·î20Æü(·î) 13:30-14:45
ºÂĹ: Åï°Â ¼Â¼£ (´ØÀ¾Âç³Ø)

Bd1-3-1
Âê̾¥«¥ª¥¹ÅÅ»ÒÆ©¤«¤·¤òÍѤ¤¤¿¥Ç¥£¥¸¥¿¥ë²èÁü¤Î²þ¤¶¤ó¸¡½ÐË¡
Ãø¼Ô *Çßß· ÂÀ°ì, µ×Ìî ²í (ÌÀ¼£Âç³ØÍý¹©³Ø¸¦µæ²Ê), ³ùÅÄ ¹°Ç· (ÌÀ¼£Âç³ØÍý¹©³ØÉô)
Pagepp. 153 - 157
Keyword ²þ¤¶¤ó¸¡½Ð, ÅÅ»ÒÆ©¤«¤·, ¥«¥ª¥¹, BMP
Abstract¶áǯ¡¤¥Ç¥£¥¸¥¿¥ë²èÁü¤òÍøÍѤ¹¤ëµ¡²ñ¤¬Â¿¤¯¤Ê¤Ã¤Æ¤¤¤ë¡¥¤·¤«¤·¡¤ºÛȽ¤Ë¤ª¤±¤ë¾Úµò¼Ì¿¿Åù¤Ë¥Ç¥£¥¸¥¿¥ë²èÁü¤òÍѤ¤¤ë¤Ë¤Ï¡¤Ê£À½¤ä¹çÀ®¤ÎÍÆ°×¤µ¡¤²þÊѸå¤Îº¯Àפ¬»Ä¤ê¤Ë¤¯¤¤¤³¤È¤«¤é²þ¤¶¤ó¤µ¤ì¤ë²ÄǽÀ­¤¬·üǰ¤µ¤ì¤ë¡¥Ëܸ¦µæ¤Ç¤ÏÆþÎϾðÊó¤ò¥«¥ª¥¹°Å¹æÍýÏÀ¤Ë´ð¤Å¤­Ê£¿ô¤Î°Û¤Ê¤ë¥«¥ª¥¹¿®¹æ¤ØÊÑÄ´¤·¡¤¤½¤ì¤ò¥Ó¥Ã¥È¥Þ¥Ã¥×²èÁü¤Îµ±ÅÙ¾ðÊó¤òÁàºî¤¹¤ë¤³¤È¤ÇÅÅ»ÒÆ©¤«¤·¤È¤·¤ÆËä¤á¹þ¤à¡¥¥«¥ª¥¹¿®¹æ¤Ï½é´üÃͱÔÉÒÀ­¡¤µ°Æ»ÉÔ°ÂÄêÀ­¡¤Ä¹´üͽ¬ÉÔ²ÄǽÀ­¤Ê¤É¤ÎÆÃÀ­¤ò¤â¤Ä¡¥¤³¤ì¤é¤ÎÀ­¼Á¤òÍøÍѤ¹¤ë¤³¤È¤Ç¡¤²èÁü¤Ë²þ¤¶¤ó¤¬²Ã¤¨¤é¤ì¤¿¾ì¹ç¡¤Ëä¤á¹þ¤ó¤ÀÊ£¿ô¤ÎÆþÎϾðÊó¤Ï¤½¤ì¤¾¤ì°Û¤Ê¤ë·Á¤ÇÇ˲õ¤µ¤ì¡¤¤½¤ì¤é¤ÎÉü¹æ·ë²Ì¤ÎÉÔ°ìÃפˤè¤Ã¤Æ²þ¤¶¤ó¤ò¸¡½Ð¤¹¤ë¤³¤È¤ò²Äǽ¤Ë¤·¤¿¡¥

Bd1-3-2
Âê̾Ëä¹þ¤ß¶õ´ÖÁªÂò·¿²èÁüÅÅ»ÒÆ©¤«¤·Ë¡
Ãø¼Ô *ÃæËÜ ¾»Í³, ¸¶Ìî ͧ·É, ßÀÌî ·ÃÂÀ, ¿÷¸µ ¹§É× (¹­ÅçÂç³ØÂç³Ø±¡)
Pagepp. 158 - 163
Keyword ²èÁüÅÅ»ÒÆ©¤«¤·, Î¥»¶¥³¥µ¥¤¥óÊÑ´¹, Ãøºî¸¢Êݸî
AbstractËܸ¦µæ¤Ç¤Ï¡¤DCTÊÑ´¹¹ÔÎó¤ÎÆþ¤ìÂØ¤¨Áàºî¤ò¤¹¤ë¤³¤È¤Ë¤è¤ê¡¤Ìµ¿ô¤Îľ¸ò¶õ´Ö¤òËä¤á¹þ¤ß¶õ´Ö¤Î¸õÊä¤È¤·¤Æ¤¤¤ë¡¥¤µ¤é¤Ë¡¤µ¿»÷Íð¿ô¤òËä¤á¹þ¤àÆ©¤«¤·¿®¹æ¤È¤·¤ÆÍøÍѤ¹¤ë¤À¤±¤Ç¤Ê¤¯¡¤Ëä¤á¹þ¤à¶õ´Ö¤ò·èÄꤹ¤ë¸°¤È¤·¤ÆÍøÍѤ¹¤ë¤³¤È¤Ë¤è¤Ã¤ÆÆ©¤«¤·¿®¹æ¤Îȯ¸«¤òº¤Æñ¤Ë¤·¤Æ¤ª¤ê¡¤ÅÅ»ÒÆ©¤«¤·Ë¡¤Î¥»¥­¥å¥ê¥Æ¥£¤Î¸þ¾å¤ò¿Þ¤Ã¤Æ¤¤¤ë¡¥¤Þ¤¿¡¤Ëä¤á¹þ¤ß¶õ´Ö¾å¤Ë¤ª¤¤¤Æ¡¤DCT¶õ´Ö¾å¤Ç»ØÄꤷ¤¿¼þÇÈ¿ôÀ®Ê¬¤ËÂбþ¤¹¤ëÎΰè¤ËÆ©¤«¤·¤òËä¤á¹þ¤à¤¿¤á¤Î¼êË¡¤òÄ󰯤·¤Æ¤¤¤ë¡¥Æ©¤«¤·¤Î¸¡½Ð¤Ç¤Ï¡¤Éé¤ÎÁê´Ø¤ò¹Íθ¤¹¤ë¤³¤È¤Ë¤è¤ê¡¤Æ©¤«¤·¤ÎÂÑÀ­¤Î¸þ¾å¤ò¿Þ¤Ã¤Æ¤¤¤ë¡¥

Bd1-3-3
Âê̾¥â¥ó¥Æ¥«¥ë¥í¡¦¥Õ¥£¥ë¥¿¤È²Ã®ÅÙ¿®¹æ¤Ë¤è¤ë¿¶¤ê»Ò¤ÎÀ©¸æ
Ãø¼Ô *Ω²Ö ¹¯É× (¿ÀÆàÀ²ÊÂç³Ø ¾ðÊó¥á¥Ç¥£¥¢³Ø²Ê)
Pagepp. 164 - 168
Keyword ¥â¥ó¥Æ¥«¥ë¥í¥Õ¥£¥ë¥¿, ¥Ñ¡¼¥Æ¥£¥¯¥ë¥Õ¥£¥ë¥¿¥ê¥ó¥°, ²Ã®ÅÙ·×, ¾õÂÖ¿äÄê, ºÇŬÀ©¸æ
AbstractÂæ¼ÖÉÕ¤­¿¶¤ê»Ò¤Ë¼è¤êÉÕ¤±¤¿²Ã®Åٷפ«¤é¤Î¿®¹æ¤ò´Ñ¬¤·¤Æ¡¢Âæ¼Ö¤Î°ÌÃ֤ȮÅÙ¡¢¤ª¤è¤Ó¿¶¤ê»Ò¤Î·¹¤­³ÑÅ٤ȳÑ®ÅÙ¤ò¥â¥ó¥Æ¥«¥ë¥í ¥Õ¥£¥ë¥¿¤Ë¤è¤ê¿äÄꤷ¡¢¤³¤ì¤òÍѤ¤¤ÆÀ©¸æ¤ò¹Ô¤¦¡£¿¶¤ê»Ò¤ò¤¢¤ë³ÑÅÙ¤ÇÄä»ß¤µ¤»¤ë¤È¡¢½ÅÎϤθú²Ì¤Ë¤è¤êÍÆ°×¤Ë·¹¼Ð³Ñ¤¬Â¬Äê¤Ç¤­¤ë¡£¤·¤«¤·¡¢±¿Æ°¾õÂ֤Ǥϱó¿´ÎÏÅù³Æ¼ï¤ÎÎϤ¬È¯À¸¤·¡¢²Ã®ÅÙ¿®¹æ¤Ë¤Ï³Ñ®ÅÙ¤ÎÆó¾èÀ®Ê¬¤¬´Þ¤Þ¤ì¡¢¤³¤ì¤é¤Ï¾õÂÖÊÑ¿ô¤ÎÈóÀþ·Á´Ø¿ô¤È¤Ê¤ë¡£¤Þ¤¿¡¢¿¶¤ê»Ò¤Ë¤«¤«¤ë³°Íð¤âÀµµ¬À­¤Î»¨²»¤È¤Ï¸À¤¤Æñ¤¤¾ì¹ç¤âÀ¸¤º¤ë¡£¤³¤Î¤è¤¦¤Ê¾õ¶·²¼¤Ç¤Î¾õÂÖ¿äÄê¤Ë¤Ï¥â¥ó¥Æ¥«¥ë¥í ¥Õ¥£¥ë¥¿ (Particle Filtering)¤¬Í­¸ú¤Ç¤¢¤ë¡£¤³¤ÎÏÀʸ¤Ç¤Ï¡¢¥·¥¹¥Æ¥à»¨²»¤È´Ñ¬»¨²»¤ÏÀµµ¬À­¤Ç¤¢¤ë¤È²¾Äꤹ¤ë¡£¥â¥ó¥Æ¥«¥ë¥í ¥Õ¥£¥ë¥¿¤Î¹½À®¤ÎÃæ¤Ç¡¢¥Õ¥£¥ë¥¿Ãͤòµá¤á¤ëºÝ¤Ë¡¢É¸ËÜÊ¿¶Ñ¤Èʬ»¶¤ò¿äÄꤷ¡¢¤½¤ì¤ò´ð¤Ë¥ê¥µ¥ó¥×¥ê¥ó¥°¤ò¼Â»Ü¤¹¤ëÊýË¡¤òÄ󰯤·¤Æ¤¤¤ë¡£¿äÄꤷ¤¿¾õÂÖ¤ò´ð¤ËºÇŬ¥ì¥®¥å¥ì¡¼¥¿¤Ë¤è¤ëÄêÃÖÀ©¸æ¤ò¼Â»Ü¤¹¤ë¡£¤³¤Î¾õ¶·¤ò¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤ê¸¡Æ¤¤·¡¢²Ã®Åٷ׿®¹æ¤À¤±¤«¤é¡¢Âæ¼ÖÉÕ¤­¿¶¤ê»Ò¤Î¾õÂÖ¿äÄê¤ÈÀ©¸æ¤¬²Äǽ¤Ç¤¢¤ë»ö¤ò¼¨¤¹¡£


¥»¥Ã¥·¥ç¥ó Bd1-4 ¾·ÂÔ¹Ö±éI
Æü»þ: 2009ǯ4·î20Æü(·î) 15:15-16:55
ºÂĹ: µ×ÊÝÅÄ ¾´ (Ãæ±ûÂç³ØÍý¹©³ØÉôÅŵ¤ÅŻҾðÊóÄÌ¿®¹©³Ø²Ê)

Bd1-4-1
Âê̾(¾·ÂÔ) ¸÷Àþ¶õ´Ö¿®¹æ½èÍý¤È¿»ëÅÀ±ÇÁüÉ乿²½Êý¼°¤Îɸ½à²½
Ãø¼Ô *Æ£°æ ½Ó¾´ (Åìµþ¹©¶ÈÂç³Ø)
Pagepp. 169 - 174
Keyword 3¼¡¸µ±ÇÁü½èÍý, ¿»ëÅÀ±ÇÁü, ¸÷Àþ¶õ´Ö, ¿®¹æ½èÍý, MPEG
Abstract3¼¡¸µ±ÇÁü½èÍý¤ä¿»ëÅÀ±ÇÁü½èÍý¤Ï¡¤¶áǯ¤ÎPC¤ä²èÁü¼èÆÀÁõÃ֤Π¹âÀ­Ç½²½¡¦Äã²Á³Ê²½¤Ëȼ¤Ã¤Æ¸¦µæ¤¬³èȯ²½¤·¤Æ¤¤¤ë¡¥¤Þ¤¿MPEG ¤Ë¤ª¤¤¤Æ¤â¿»ëÅÀ±ÇÁüÉ乿²½Êý¼°¤Î¹ñºÝɸ½à¤¬ºöÄꤵ¤ì¡¤¤µ¤é ¤Ëº£¸å¤Ë¸þ¤±¤Æ3¼¡¸µ¥Ó¥Ç¥ª¤ä¼«Í³»ëÅÀ¥Æ¥ì¥Ó¤Ê¤É¤Îɸ½à²½¤¬³è ȯ¤ËµÄÏÀ¤µ¤ì¤Æ¤¤¤ë¡¥ËܹƤǤϡ¤3¼¡¸µ±ÇÁü½èÍý¤Î´ðÁäȤʤ복 ǰ¤Ç¤¢¤ë¸÷Àþ¶õ´Ö¤Î³µÍפò¾Ò²ð¤·¡¤¸÷Àþ¶õ´Ö¤Î¿®¹æ½èÍý¤Ë¤è¤ë ¼«Í³»ëÅÀ±ÇÁüÀ¸À®Ë¡¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë¡¥¤µ¤é¤Ë¸½¼ÂÀ¤³¦¤Î¸÷Àþ¶õ ´Ö¥Ç¡¼¥¿¤ò¼èÆÀ¤¹¤ë¼êË¡¤È¤·¤Æ¡¤¥«¥á¥é¥¢¥ì¥¤¥·¥¹¥Æ¥à¤ä¤½¤ì ¤ËÉտ魯¤ë½èÍý¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë¡¥ËܹƤθåȾ¤Ç¤Ï¡¤¸½ºßMPEG¤Ë ¤ª¤¤¤Æ¿Ê¤á¤é¤ì¤Ä¤Ä¤¢¤ë¿»ëÅÀ±ÇÁü¡¦3¼¡¸µ±ÇÁü¤Î¹ñºÝɸ½à²½³è ư¤Ë¤Ä¤¤¤Æ¾Ò²ð¤¹¤ë¡¥

Bd1-4-2
Âê̾(¾·ÂÔ) ´ö²¿¸÷³Ø¤È¼Ì¿¿½Ñ¤Î¥Ç¥¸¥¿¥ëÍ»¹ç ¡Ý±é»»·ëÁü½ÑÆþÌç¡Ý
Ãø¼Ô *°¤Éô ½Ê¿Í (¿·³ã¸©¹©µ»Áí¸¦)
Pagepp. 175 - 180
Keyword view angle, refocusing, high dyamic range
AbstractThis article is an introduction to computational photography. Computational photography combines light sources, optics, sensors, processing elements, and actuators to escape the limitations of traditional imageries and enables new imaging applications. High dynamic range, variable focus, variable resolution, depth map, gloss map, and hints about shape are examples of the applications of computational photography. The outline of computational optics photography is shown with a few topics.


¥»¥Ã¥·¥ç¥ó C1-2 [As/Cʬ²Ê²ñ¹çƱÆÃÊÌ¥»¥Ã¥·¥ç¥ó] DFM
Æü»þ: 2009ǯ4·î20Æü(·î) 10:45-11:55
ºÂĹ: ¶¶ËÜ ¾»µ¹ (ÂçºåÂç³Ø)

C1-2-1
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Ãø¼Ô *ÉÙ±Ê À¿ (NEC¥¨¥ì¥¯¥È¥í¥Ë¥¯¥¹³ô¼°²ñ¼Ò)
Pagepp. 181 - 184
Keyword ¥ê¥½¥°¥é¥Õ¥£, ¤Ð¤é¤Ä¤­, DFM
AbstractȾƳÂΤÎÈùºÙ²½¤Ï¡¢¸÷¥ê¥½¥°¥é¥Õ¥£¤Î±äÌ¿²½¤È¤È¤â¤Ë¡¢¿ä¤·¿Ê¤á¤é¤ì¤Æ¤­¤¿¤¬¡¢193nm ¤ÎArF±Õ¿»Ïª¸÷µ¡¤Î¼ÂÍѲ½¤Ë¤è¤ê¡¢Asic Logic¤Ç¤Ï40nm half node¤ÎÎÌ»º²½¤È32/28nm node¤Î¼ÂÍѲ½ÌÜÁ°¤Ë¤Þ¤Ç»ê¤Ã¤¿¡£ËܹƤǤϡ¢¥¦¥¨¥Ï¡¼À½Â¤¥×¥í¥»¥¹¤Ë¤ª¤±¤ë¥ê¥½¥°¥é¥Õ¥£¹©Äø¤Ë¤ª¤±¤ë¥·¥¹¥Æ¥Þ¥Æ¥£¥Ã¥¯¤Ê¥Ð¥é¥Ä¥­¤ÎÍ×°ø¤ò²òÀ⤷¡¢¥ê¥½¥°¥é¥Õ¥£Ê¬Ìî¤Ë¸ÂÄꤷ¤¿¶¹µÁ¤ÎDFM¤Ë¤ª¤±¤ëÄó°Æ»öÎã¤ò¼¨¤¹¡£

C1-2-2
Âê̾¥é¥ó¥À¥à¶ÊÌÌ¥â¥Ç¥ë¤Ë¤è¤ë£È·¿¥Ä¥ê¡¼¤Ë¤ª¤±¤ë¥¯¥í¥Ã¥¯¥¹¥­¥å¡¼¤Î²òÀÏ
Ãø¼Ô *ÂçÀî âðì, ÁýÅÄ ¹°À¸ (¥ë¥Í¥µ¥¹¥Æ¥¯¥Î¥í¥¸/¥·¥¹¥Æ¥à¥½¥ê¥å¡¼¥·¥ç¥óÅý³çËÜÉô)
Pagepp. 185 - 190
Keyword ¥é¥ó¥À¥à¶ÊÌÌ¥â¥Ç¥ë, ¥·¥¹¥Æ¥Þ¥Æ¥£¥Ã¥¯À®Ê¬, Åý·×, ¤Ð¤é¤Ä¤­, ¥¯¥í¥Ã¥¯¥¹¥­¥å¡¼
Abstract²æ¡¹¤ÎÄ󾧤·¤¿¥é¥ó¥À¥à¶ÊÌÌ¥â¥Ç¥ë¤Ï¡¢¥é¥ó¥À¥à¤ËÊѲ½¤¹¤ë¶ÊÌ̤Υµ¥ó¥×¥ëÇÈ·Á·²¤òÀ¸À®¤¹¤ë¤³¤È¤¬²Äǽ¤Ç¤¢¤ê¡¢¤½¤ì¤é¤ÎÊ콸ÃĤòɽ¸½¤¹¤ëÅý·×¿ô³Ø¥â¥Ç¥ë¤È¤Ê¤Ã¤Æ¤¤¤ë¡£¤³¤Î¤³¤È¤Ë¤è¤ê¡¢½¾ÍèÉÔ²Äǽ¤Ç¤¢¤Ã¤¿¡¢¥·¥¹¥Æ¥Þ¥Æ¥£¥Ã¥¯À®Ê¬¤Ë¤è¤ëÏÀÍý²óÏ©¤ÎÃÙ±ä»þ´Ö¤Ð¤é¤Ä¤­¤Î¥â¥ó¥Æ¥«¥ë¥í¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤¬²Äǽ¤È¤Ê¤Ã¤¿¡£ËÜÊó¹ð¤Ç¤Ï¡¢¼ÂºÝ¤Ë¤³¤Î¼êË¡¤òÍѤ¤¤Æ¡¢£È·¿¥Ä¥ê¡¼¤ò¥â¥Ç¥ë¤È¤·¤¿¥¯¥í¥Ã¥¯¥¹¥­¥å¡¼¤Î²òÀϤò¹Ô¤Ã¤¿¡£»ÈÍѤ·¤¿¥é¥ó¥À¥à¶ÊÌÌ¥â¥Ç¥ë¤Ï¥ë¥¸¥ã¥ó¥É¥ë¿¹à¼°¤ò¥Ù¡¼¥¹¤È¤·¤¿¤â¤Î¤Ç¡¢¤½¤Î´Ø¿ô¤Î¼¡¿ô¤Ë¤è¤ê¡¢¶ÊÌ̤ÎÊ£»¨ÅÙ¤¬ÊѤï¤ë¡£É¾²Á¤Î·ë²Ì¡¢¶ÊÌ̤μ¡¿ô¤¬´ñ¿ô¤Ç¤¢¤ë¤«¶ö¿ô¤Ç¤¢¤ë¤«¤Ê¤É¡¢Å¬ÍѤ·¤¿¥é¥ó¥À¥à¶ÊÌÌ¤ÎÆÃÀ­¤Ë¤è¤ëÆÃħŪ·¹¸þ¤¬¸«¤é¤ì¤¿¡£


¥»¥Ã¥·¥ç¥ó C1-3 ¥·¥¹¥Æ¥àÀ߷פȸ¡¾Ú
Æü»þ: 2009ǯ4·î20Æü(·î) 13:50-14:40
ºÂĹ: ³ÀÆâ Íβð (ÂçºåÂç³Ø)

C1-3-1
Âê̾ASystemC: ¥·¥¹¥Æ¥àµ­½Ò¸À¸ì¤Î¥¢¥¹¥Ú¥¯¥È»Ø¸þ³ÈÄ¥
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Pagepp. 191 - 196
Keyword SystemC, ¥Ï¡¼¥É¥¦¥§¥¢µ­½Ò¸À¸ì, ¥¢¥¹¥Ú¥¯¥È»Ø¸þ¥×¥í¥°¥é¥ß¥ó¥°
AbstractSystemC ¤Ï¥Ç¥¸¥¿¥ë²óÏ©¤Î¹â°ÌÀ߷פΤ¿¤á¤Î¥·¥¹¥Æ¥àµ­½Ò¸À¸ì¤Ç¤¢¤ë¡£SystemC ¤òÍѤ¤¤Æ¥·¥¹¥Æ¥à¤ò¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ê¤É¤Ç²òÀÏ¡¦¸¡¾Ú¤¹¤ë¤³¤È¤Ç¡¢À߷פÎɾ²Á¤ä¥Ð¥°¤ÎÁá´üȯ¸«¤ò¹Ô¤¦¤³¤È¤¬¤Ç¤­¤ë¡£°ìÊý¥½¥Õ¥È¥¦¥§¥¢³«È¯¤ÎʬÌî¤Ç¤Ï¡¢¥¢¥¹¥Ú¥¯¥È»Ø¸þ¥×¥í¥°¥é¥ß¥ó¥°¤Ë¤è¤Ã¤Æ²£ÃÇŪ´Ø¿´»ö¤ò¥â¥¸¥å¡¼¥ë²½¤¹¤ëÊýË¡¤¬ÃíÌܤµ¤ì¤Æ¤¤¤ë¡£²æ¡¹¤Ï¡¢SystemC ¤ò¥Ù¡¼¥¹¤È¤·¤¿¥Ï¡¼¥É¥¦¥§¥¢µ­½ÒÍÑ¥¢¥¹¥Ú¥¯¥È»Ø¸þ¸À¸ìASystemC ¤òÀ߷פ·¡¢¤½¤Î¥×¥í¥È¥¿¥¤¥×¤ò¼ÂÁõ¤·¤¿¡£ASystemC ¤òÍѤ¤¤ë¤³¤È¤Ç¡¢¥·¥¹¥Æ¥à¤ÎưŪ²òÀϤäÀ߷׾ܺٲ½¤Î¤¿¤á¤Î¥½¡¼¥¹¥³¡¼¥É¤Î²þÊѤò¡¢Ê̤Υ⥸¥å¡¼¥ë¤È¤·¤Æ¼ÂÁõ¤¹¤ë¤³¤È¤¬¤Ç¤­¤ë¤è¤¦¤Ë¤Ê¤ë¡£¤³¤ì¤Ë¤è¤Ã¤Æ¡¢µ¡³£Åª¤Ê¥½¡¼¥¹¥³¡¼¥É¤Î²þÊѤò»ñ»º²½¤¹¤ë¤³¤È¤¬¤Ç¤­¤ë¡£¤µ¤é¤ËÃø¼Ô¤ÏASystemC ¤Î¥Ç¥â¤È¤·¤Æ¡¢ÊÑ¿ô¤ËɬÍפʥӥåÈÉý¤ò¬Äꤹ¤ë¥¢¥¹¥Ú¥¯¥È¤ò³«È¯¤·¡¢Í­¸ú¤Ëưºî¤¹¤ë¤³¤È¤ò³Î¤«¤á¤¿¡£

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Ãø¼Ô *ÂçÀРμ²ð, ¾¾ÅÄ ÌÀÃË (³ô¼°²ñ¼ÒÉÙ»ÎÄ̸¦µæ½ê)
Pagepp. 197 - 199
Keyword ÏÀÍý¸¡¾Ú, ¾ò·ïʬ´ô, ¥¢¥µ¡¼¥·¥ç¥ó, À߷׺ÆÍøÍÑ, ¥«¥Ð¥ì¥Ã¥¸
AbstractSoC¤Ê¤É¤ÎÂ絬ÌϤÊLSI¤Î³«È¯¤Ë¤ª¤¤¤Æ¡¢ÏÀÍý¸¡¾Ú¤Î¸úΨ²½¤Ïɬ¿Ü²ÝÂê¤Ç¤¢¤ë¡£½¾Íè¡¢¤ï¤ì¤ï¤ì¤Ï¸¡¾Ú¹©¿ô¤ª¤è¤ÓÉʼÁ¤ÎξÊý¤òËþ­¤¹¤ë¥«¥Ð¥ì¥Ã¥¸´ð½à¤È¤·¤Æ¡¢»ÅÍͽñ¤Ë´ð¤Å¤¯µ¡Ç½»ÅÍÍ¥«¥Ð¥ì¥Ã¥¸¤ª¤è¤Ó¥È¥é¥ó¥¶¥¯¥·¥ç¥ó¥«¥Ð¥ì¥Ã¥¸¤òÄ󰯤·¤Æ¤­¤¿¡£¤·¤«¤·¡¢¤³¤ì¤é¤Î¼êË¡¤Ç¤ÏÆÃÄê¤Î¼ÂÁõ¤Ë°Í¸¤·¤¿¥Ð¥°¤òȯ¸«¤¹¤ë¤³¤È¤¬º¤Æñ¤Ê¾ì¹ç¤¬¤¢¤ë¡£¤½¤³¤ÇËܹƤǤϡ¢¥Ð¥°¤¬È¯À¸¤·¤ä¤¹¤¤¡¢Ê£¿ôʬ´ô¤ò´Þ¤à²óÏ©¤ò½ÅÅÀŪ¤Ë¸¡¾Ú¤¹¤ë¤¿¤á¤Î¥«¥Ð¥ì¥Ã¥¸´ð½à¤òÄ󰯤¹¤ë¡£ËܼêË¡¤ÏIP¤Î¤è¤¦¤ÊºÆÍøÍѲÄǽ¤ÊÀß·×»ñ»º¡¦¸¡¾Ú»ñ»º¤ÎÉʼÁ¤ò¸þ¾å¤¹¤ë¤¿¤á¤Ë¤­¤ï¤á¤ÆÍ­¸ú¤Ç¤¢¤ë¡£


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Æü»þ: 2009ǯ4·î20Æü(·î) 15:15-16:30
ºÂĹ: ¶â»Ò Êöͺ (ËÌΦÀèü²Ê³Øµ»½ÑÂç³Ø±¡Âç³Ø)

C1-4-1
Âê̾(¾·ÂÔ) È󯱴üVLSIÀß·×µ»½Ñ¤ÎºÇ¶á¤Î¸¦µæÆ°¸þ¤Ë¤Ä¤¤¤Æ
Ãø¼Ô *Æîë ¿ò (ÅìµþÂç³Ø¡¿Àèü²Ê³Øµ»½Ñ¸¦µæ¥»¥ó¥¿¡¼)
Pagepp. 200 - 200
Keyword È󯱴üÀß·×µ»½Ñ, VLSIÈùºÙ²½, ¥Ñ¥é¥á¡¼¥¿ÊÑÆ°, ¥·¥¹¥Æ¥à¿®ÍêÀ­
AbstractVLSI¤ÎÈùºÙ²½¡¦¹â½¸ÀѲ½¤Ï¤³¤ì¤Þ¤ÇƱÍͤ˺£¸å¤â¿Ê¤ß¡¢2020ǯº¢¤Þ¤Ç¤Ï¸½ºß¤ÎVLSIµ»½Ñ¤Î¿Ê²½¤¬¤³¤Î¤Þ¤Þ·Ñ³¤¹¤ë¤È¤ÎͽÁÛ¤¬À¤³¦¤Î¿¤¯¤ÎȾƳÂ覵æ¼Ô¡¦µ»½Ñ¼Ô¤Î¹ç°Õ¤Ç¤¢¤ë¤¬¡¢°ìÊý¤Ç¡¢¤½¤³¤Ø»ê¤ëÁ°¤Ë¡¢¥Ñ¥é¥á¡¼¥¿ÊÑÆ°¡¢¥½¥Õ¥È¥¨¥é¡¼¡¢¾ÃÈñÅÅÎϤʤɡ¢ÈùºÙ²½¤Ëµ¯°ø¤·¤Æ¤³¤ì¤Þ¤Ç·Ð¸³¤·¤¿¤³¤È¤Î¤Ê¤¤Àß·×À½Â¤¾å¤Î¤¤¤¯¤Ä¤«¤ÎÌäÂ꤬¸²ºß²½¤·¡¢¤½¤Î·ë²Ì¡¢¥Á¥Ã¥×Êâα¤Þ¤ê¤È¥·¥¹¥Æ¥à¿®ÍêÀ­¤¬ÂçÉý¤ËÄã²¼¤¹¤ë²ÄǽÀ­¤¬»ØÅ¦¤µ¤ì¤Æ¤¤¤ë¡£¤³¤Î¹Ö±é¤Ç¤Ï¡¢VLSIÈùºÙ²½¤¬¤â¤¿¤é¤¹¤³¤ì¤é¤Î¹©³ØÅª¸Â³¦¤Ë´Ø¤ï¤ë½ôÌäÂê¤ËÂФ·¤Æ¡¢È󯱴ü¼°VLSI Àß·×µ»½Ñ¤¬¤É¤Î¤è¤¦¤Ë¥¢¥×¥í¡¼¥Á¤·¤è¤¦¤È¤·¤Æ¤¤¤ë¤«¡¢¸½ºß¤Î¸¦µæ¤Î¾õ¶·¤Èº£¸å¤Î²ÝÂê¤òŸ˾¤¹¤ë¡£

C1-4-2
Âê̾FPGA¼ÂÁõ¤òÂоݤȤ·¤¿Â«¥Ç¡¼¥¿Êý¼°¤Ë¤è¤ëÈ󯱴ü¼°²óÏ©¤ÎÃÙ±äÄ´À°¼êË¡¤Îɾ²Á
Ãø¼Ô *ã·Æ£ ´² (²ñÄÅÂç³Ø), ÊÆÅÄ Í§ÍÎ (¹ñΩ¾ðÊ󳨏¦µæ½ê), Æîë ¿ò (ÅìµþÂç³Ø)
Pagepp. 201 - 206
Keyword È󯱴ü¼°²óÏ©, «¥Ç¡¼¥¿Êý¼°, ÃÙ±äÁÇ»Ò
AbstractËܹƤǤϡ¤FPGA¼ÂÁõ¤òÂоݤȤ·¤¿Â«¥Ç¡¼¥¿Êý¼°¤Ë¤è¤ë È󯱴ü¼°²óÏ©¤ÎÃÙ±äÄ´À°¼êË¡¤òÄ󰯤·¡¤Ä§À­²ó¿ô¡¤Ä´À°¤µ¤ì¤¿²óÏ©¤ÎÀ­Ç½¤ÈÌÌÀѤòɾ²Á¤¹¤ë¡¥


¥»¥Ã¥·¥ç¥ó D1-1 ¥¢¥ë¥´¥ê¥º¥àÏÀI
Æü»þ: 2009ǯ4·î20Æü(·î) 9:00-10:15
ºÂĹ: Ãæ»³ ¿µ°ì (ÆÁÅçÂç³Ø Áí¹ç²Ê³ØÉô ¼«Á³¥·¥¹¥Æ¥à³Ø²Ê ¿ôÍý²Ê³Ø)

D1-1-1
Âê̾²óž·¿¥»¥ëÌÂÏ©¤ÎPSPACE´°Á´À­
Ãø¼Ô *¾åÛê ͵²ð, ¾åÅè ¾Ï¹¨ (ÂçºåÅŵ¤ÄÌ¿®Âç³ØÂç³Ø±¡)
Pagepp. 207 - 212
Keyword ·×»»ÎÌÍýÏÀ, ¥»¥ëÌÂÏ©, PSPACE´°Á´, QUANTIFIED 3SAT
AbstractËܸ¦µæ¤Ç¤Ï¡¤NTT´ØÏ¢¥µ¥¤¥È¤Ê¤É¤Ç¤â¾Ò²ð¤µ¤ì¤Æ¤¤¤ë¡¤²óž·¿¥»¥ëÌÂÏ©¤È¤¤¤¦¥Ñ¥º¥ë¤ò°·¤¦¡¥ ²óž·¿¥»¥ëÌÂÏ©¤È¤Ï¡¤ÀµÊý³Ê»Ò¾õ¤ËŸ³«¤µ¤ì¤¿¡¤Ï©¤ÎÉÁ¤«¤ì¤¿¥»¥ë¾å¤ò°Üư¤·¡¤¥´¡¼¥ë¤òÌܻؤ¹¥Ñ¥º¥ë¤Ç¤¢¤ë¡¥¥»¥ë´Ö¤Î°Üư¤Ë¤è¤êÏ©¤¬²óž¤¹¤ë¤³¤È¤Ç¡¤°Üư²Äǽ¤ÊÊý¸þ¤¬ÊѲ½¤¹¤ë¤È¤¤¤¦ÆÃħ¤ò»ý¤Ä¤³¤È¤«¤é¡¤¾õÂÖ¤ÎÊѲ½¤¹¤ë¥°¥é¥Õ¤ËÂФ¹¤ë¥â¥Ç¥ë¤È¤·¤Æ¹Í¤¨ÆÀ¤ë¡¥ ²óž·¿¥»¥ëÌÂÏ©¤Ë¤ª¤±¤ë²ò¤Î¸ºßȽÄêÌäÂê¤ÎÊ£»¨¤µ¤Ë¤Ä¤¤¤Æ¤Ï¡¤´û¤ËNPº¤Æñ¤Ç¤¢¤ë¤³¤È¤¬¼¨¤µ¤ì¤Æ¤¤¤ë¡¥ ËܹƤǤϡ¤Æ±ÌäÂ꤬PSPACE´°Á´¤Ç¤¢¤ë¤³¤È¤ò¾ÚÌÀ¤¹¤ë¡¥PSPACEº¤ÆñÀ­¤Ë¤Ä¤¤¤Æ¤Ï¡¤´û¸¤ÎPSPACE´°Á´ÌäÂê¤Ç¤¢¤ëQUANTIFIED 3SAT¤«¤é¿¹à¼°»þ´Ö´Ô¸µ¤¹¤ë¤³¤È¤Ç¼¨¤¹¡¥

D1-1-2
Âê̾The Undirected Feedback Vertex Set Problem with Application to Wavelength Converter Placement on WDM Networks
Ãø¼Ô *Toshinori Yamada, Yusuke Tada, Takaaki Tanaka (Saitama University)
Pagepp. 213 - 218
Keyword Undirected Feedback Vertex Set, NP-completeness, Approximation Algorithm, WDM Network
AbstractThis paper considers a size constrained version of the undirected feedback vertex set problem motivated by placing wavelength converters on a WDM network efficiently, and proves that this problem is NP-complete even in several special cases. Moreover, the paper presents a simple approximation algorithm for a minimization version of the problem using an algorithm for the original minimum undirected feedback vertex set problem.

D1-1-3
Âê̾ÃÇ³Ū¸Î¾ã¤ò¹Íθ¤·¤¿¥Þ¥ë¥Á¥×¥í¥»¥Ã¥µ¥·¥¹¥Æ¥à¤ÎÊÂÎó¸Î¾ã¿ÇÃÇ
Ãø¼Ô °ËÅì ·Ë, *»³ÅÄ ÉÒµ¬ (ºë¶ÌÂç³Ø Âç³Ø±¡Íý¹©³Ø¸¦µæ²Ê ¿ôÍýÅŻҾðÊóÉôÌç)
Pagepp. 219 - 224
Keyword ÊÂÎó¸Î¾ã¿ÇÃÇ, ÃÇ³Ū¸Î¾ã
Abstract¹â¡¹s¸Ä¤ÎÃÇ³Ū¸Î¾ã¥×¥í¥»¥Ã¥µ¤ò´Þ¤á¤Æn/2¸Ä̤Ëþ¤Î¸Î¾ã¥×¥í¥»¥Ã¥µ¤¬ ¸ºß¤¹¤ën¸Ä¤Î¥×¥í¥»¥Ã¥µ¤«¤éÀ®¤ë¥Þ¥ë¥Á¥×¥í¥»¥Ã¥µ¥·¥¹¥Æ¥à¤ËÂФ·¤Æ¡¤ Fu¤ÈBeigel¤ÏO(s5)¸¡ºº¥é¥¦¥ó¥É¤Çư¤¯ Ŭ±þŪÊÂÎó¸Î¾ã¿ÇÃÇ¥¢¥ë¥´¥ê¥º¥à¤òÄ󰯤·¤¿¡¥ ¾®Ê¸¤Ï¡¤ ƱÍͤΥ·¥¹¥Æ¥à¤ËÂФ·¤Æ O(s3)¸¡ºº¥é¥¦¥ó¥É¤Çư¤¯Å¬±þŪÊÂÎó¸Î¾ã¿ÇÃÇ¥¢¥ë¥´¥ê¥º¥à¤òÍ¿¤¨¤ë¡¥ ¤µ¤é¤Ë¡¤Ç¤°Õ¤ÎŬ±þŪÊÂÎó¸Î¾ã¿ÇÃÇ¥¢¥ë¥´¥ê¥º¥à¤Ï ¦¸(s)¸¡ºº¥é¥¦¥ó¥É¤òɬÍפȤ¹¤ë¤³¤È¤ò¼¨¤¹¡¥


¥»¥Ã¥·¥ç¥ó D1-2 ·×»»À¤³¦´Ñ
Æü»þ: 2009ǯ4·î20Æü(·î) 10:30-12:30
ºÂĹ: ÁêÅÄ ¿µ (Ë­¶¶µ»½Ñ²Ê³ØÂç³Ø Ãμ±¾ðÊ󹩳طÏ)

D1-2-1
Âê̾(¾·ÂÔ) ·×»»À¤³¦´Ñ¥°¥í¡¼¥Ð¥ëCOE¤Î¾Ò²ð
Ãø¼Ô *ÅÏÊÕ ¼£ (Åìµþ¹©¶ÈÂç³Ø)
Pagepp. 225 - 230
Keyword ¥°¥í¡¼¥Ð¥ë£Ã£Ï£Å, ·×»»À¤³¦´Ñ, CompView
AbstractÅìµþ¹©¶ÈÂç³Ø¤Ç¤ÏÊ¿À®19ǯÅÙ¤è¤ê¡¤¾ðÊó·Ï¤Î¥°¥í¡¼¥Ð¥ë£Ã£Ï£Å¡Ö·×»»À¤³¦´Ñ¤Î¿¼²½¤ÈŸ³«¡×¤ò¼Â»Ü¤·¤Æ¤¤¤ë¡¥µòÅÀ¥ê¡¼¥À¡¼¤È¤·¤Æ¡¤¤½¤Î¼è¤êÁȤߤˤĤ¤¤Æ¾Ò²ð¤¹¤ë¡¥

D1-2-2
Âê̾(¾·ÂÔ) Î¥»¶ÆÌºÇŬ²½¼êË¡¤Ë¤è¤ëµ¡³£³Ø½¬¤Î½ôÌäÂê¤Ø¤Î¥¢¥×¥í¡¼¥Á
Ãø¼Ô *±ÊÌî À¶¿Î, ²Ï¸¶ µÈ¿­, ²¬ËÜ µÈ±û (Åìµþ¹©¶ÈÂç³Ø)
Pagepp. 231 - 236
Keyword Î¥»¶ºÇŬ²½, µ¡³£³Ø½¬, ÆÌ²òÀÏ, Îô¥â¥¸¥å¥é´Ø¿ô, ¶á»÷¥¢¥ë¥´¥ê¥º¥à
AbstractϢ³ºÇŬ²½¤Ç¤Ï¡¤Í¿¤¨¤é¤ì¤¿Ï¢Â³½¸¹ç¤Ë´Þ¤Þ¤ì¤ëÅÀ¤ÎÃæ¤Ç¡¤Í¿¤¨¤é¤ì¤¿´Ø¿ô¤òºÇŬ²½¤¹¤ëÅÀ¤ò¸«¤Ä¤±¤ëÌäÂê¤ò°·¤¦¡¥¤½¤ì¤é¤ÎÃæ¤Ç¤â¡¤ÆÌ´Ø¿ô¤ÎºÇ¾®²½¤Ï°·¤¤¤ä¤¹¤¯¡¤¸úΨŪ¤ËºÇŬ²ò¤¬·×»»¤Ç¤­¤ëÌäÂê¤Ç¤¢¤ë¡¥Î¥»¶Åª¤ÊÂоݤò°·¤¦Î¥»¶ºÇŬ²½¤Ë¤ª¤¤¤Æ¤Ï¡¤ÆÌ´Ø¿ô¤ÈÂбþ¤¹¤ë³µÇ°¤¬Îô¥â¥¸¥å¥é´Ø¿ô¤Ç¤¢¤ë¤È¸½ºß¹­¤¯Ç§¼±¤µ¤ì¤Ä¤Ä¤¢¤ë¡¥¤Þ¤¿¡¤Îô¥â¥¸¥å¥é´Ø¿ô¤Ï±þÍÑ¿ô³Ø¤ÎÍÍ¡¹¤Ê¾ìÌ̤Ǹ½¤ì¤ë´ðËÜ´Ø¿ô¤Ç¤¢¤ê¡¤¤½¤Î°ÕÌ£¤Ç¤â¶½Ì£¿¼¤¤¸¦µæÂоݤǤ¢¤ë¡¥ËܹƤǤϡ¤Î¥»¶ÈÇ¤ÎÆÌºÇŬ²½¤È¤Ç¤â¤¤¤¦¤Ù¤­¡¤Îô¥â¥¸¥å¥éºÇŬ²½¼êË¡¤Îµ¡³£³Ø½¬¤Ø¤Î±þÍѤ˴ؤ¹¤ë¶áǯ¤Î¸¦µæ¤Ë¤Ä¤¤¤Æ¡¤²æ¡¹¤Î¥°¥ë¡¼¥×¤Î·ë²Ì¤ò´Þ¤á¤Æ³µ´Ñ¤¹¤ë¡¥

D1-2-3
Âê̾(¾·ÂÔ) ºÇŬ²ò¤òµá¤á¤ë¥×¥é¥ó¥Ë¥ó¥°¡¦¥¢¥ë¥´¥ê¥º¥à¤ÎÂ絬ÌÏÊÂÎ󲽤ˤĤ¤¤Æ
Ãø¼Ô *´ßËÜ ¾Ï¹¨ (¸øÎ©¤Ï¤³¤À¤ÆÌ¤ÍèÂç³Ø¥·¥¹¥Æ¥à¾ðÊó²Ê³ØÉô¾ðÊ󥢡¼¥­¥Æ¥¯¥Á¥ã³Ø²Ê), Alex Fukunaga (Åìµþ¹©¶ÈÂç³Ø¥°¥í¡¼¥Ð¥ë¥¨¥Ã¥¸¸¦µæ±¡), Adi Botea (NICTA)
Pagepp. 237 - 239
Keyword ¥×¥é¥ó¥Ë¥ó¥°, ÊÂÎó²½, ºÇŬ²ò
Abstract¥×¥é¥ó¥Ë¥ó¥°¤Ë¤Ï¡¢ÍÍ¡¹¤Ê±þÍÑʬÌ¤¢¤ê¡¢¿Í¹©ÃÎǽ¤Ë¤ª¤±¤ë½ÅÍפʸ¦µæÊ¬Ìî¤Ç¤¢¤ë¡£Ëֱܹé¤Ç¤Ï¡¢ºÇŬ²ò¤òÊݾڤ¹¤ë¸ÅŵŪ¥×¥é¥ó¥Ë¥ó¥°¡¦¥·¥¹¥Æ¥à¤ò¼è¤ê¾å¤²¡¢¤½¤ÎÂ絬ÌÏÊÂÎó²½Ë¡¤Ë¤Ä¤¤¤ÆÀâÌÀ¤¹¤ë¡£


¥»¥Ã¥·¥ç¥ó D1-3 [ÆÃÊÌ¥»¥Ã¥·¥ç¥ó] ¥Õ¥©¡¼¥Þ¥ë¥á¥½¥Ã¥ÉI
Æü»þ: 2009ǯ4·î20Æü(·î) 14:00-14:50
ºÂĹ: »³¸ý ¿¿¸ç (»³¸ýÂç³ØÂç³Ø±¡Íý¹©³Ø¸¦µæ²Ê)

D1-3-1
Âê̾Reduction Techniques for Equivalence Checking of Concurrent Programs
Ãø¼Ô *Yoshisato Sakai, Aurelien Tran (Toshiba Corporation)
Pagepp. 240 - 245
Keyword simulation equivalence, equivalence checking, concurrent programming
AbstractThis paper provides some techniques for equivalence checking of concurrent programs. They include a generalized framework for equivalence checking, a reduction technique based on simulation equivalence, the augmented program suitable for predicate abstraction, and the synchronizing assertions to reduce state space. Experimental results support the effects of our proposals to reduce the time consumption of equivalence checking.

D1-3-2
Âê̾¾õÂÖÃê¾Ý²½¤Ë¤è¤ëÁȹþ¤ß¥½¥Õ¥È¤Î¾õÂÖÁ«°Ü¥Æ¥¹¥È¸úΨ²½¼Â¸³
Ãø¼Ô *ÂÀÅÄ ¶ÇΨ, ¿Ê ÇîÀµ, ´äÀ¯ ´´¿Í, ±óÆ£ ÐÒ²ð (Åì¼Ç ¸¦µæ³«È¯¥»¥ó¥¿¡¼), ÅÏî´ ÎµÌÀ (Åì¼Ç ¥»¥ß¥³¥ó¥À¥¯¥¿¡¼¼Ò ¥·¥¹¥Æ¥à£Ì£Ó£É»ö¶ÈÉô)
Pagepp. 246 - 251
Keyword ¥Æ¥¹¥È¥±¡¼¥¹À¸À®, ¾õÂÖÁ«°Ü·Ï, ÌÖÍåÀ­, ¸úΨÀ­
Abstract¥½¥Õ¥È¥¦¥§¥¢¥Æ¥¹¥È¤Ç¤Ï¡¢ÌÖÍåÀ­¤Î³ÎÊݤòÂè°ì¤Ë¡¢¸úΨŪ¤Ê¥Æ¥¹¥È¥±¡¼¥¹¤ÎÀ߷פ¬µá¤á¤é¤ì¤ë¡£²æ¡¹¤Ï¤³¤ì¤Þ¤Ç¡¢¾õÂÖÁ«°Ü·Ï¤Î¾õÂÖ¤òƱ°ì»ë¤·¤Æ¾õÂÖÁ«°Ü·Ï¤ò½ÌÌ󤹤ë»ö¤Ç¡¢¸úΨŪ¤Ê¥Æ¥¹¥È¥±¡¼¥¹¤òÀ¸À®¤¹¤ë¾õÂÖÁ«°Ü¥Ù¡¼¥¹¤Î¥Æ¥¹¥È¥±¡¼¥¹¼«Æ°À¸À®µ»½Ñ¤ò¸¦µæ¤·¤Æ¤­¤¿¡£¤·¤«¤·¡¢¤³¤Îµ»½Ñ¤ÇÌÖÍåÀ­¤Î³ÎÊݤ·¤¿¾å¤Ç¸úΨŪ¤Ê¥Æ¥¹¥È¥±¡¼¥¹¤òÆÀ¤ë°Ù¤Ë¤Ï¡¢¾õÂÖ¤ÎÆ±°ì»ëÊý¿Ë¤Î·èÄ꤬½ÅÍפǤ¢¤ë¡£º£²ó¡¢¥Æ¥¹¥È¥±¡¼¥¹¤Î»ÅÍͤËÂФ¹¤ëÌÖÍå¤òÌÖÍåÀ­´ð½à¤È¤·¤Æ¡¢»ÅÍͤ«¤éƱ°ì»ëÊý¿Ë¤ò·èÄꤹ¤ëÊýË¡¤ò¸¡Æ¤¤·¡¢¼Â¸³¤ò»î¤ß¤¿¡£¤½¤Î·ë²Ì¡¢Í½¤áÄê¤á¤¿ÌÖÍåÀ­´ð½à¤òËþ¤¿¤·¤Ä¤Ä¡¢½¾Íè¤ÎÀ¸À®¼êË¡¤ËÈæ¤Ù¤Æ¸¡¾Ú¹©¿ô¤¬Â礭¤¯ºï¸º²Äǽ¤Ç¤¢¤ë»ö¤ò¼¨º¶¤¹¤ë¡¢Í­°ÕµÁ¤Ê·ë²Ì¤òÆÀ¤¿¡£


¥»¥Ã¥·¥ç¥ó D1-4 [ÆÃÊÌ¥»¥Ã¥·¥ç¥ó] ¥Õ¥©¡¼¥Þ¥ë¥á¥½¥Ã¥ÉII
Æü»þ: 2009ǯ4·î20Æü(·î) 15:10-16:40
ºÂĹ: µÜËÜ ½Ó¹¬ (ÂçºåÂç³Ø Âç³Ø±¡¹©³Ø¸¦µæ²Ê Åŵ¤ÅŻҾðÊ󹩳ØÀì¹¶)

D1-4-1
Âê̾(¾·ÂÔ) ¥½¥Õ¥È¥¦¥§¥¢¹©³Ø¤«¤é¤ß¤¿¥â¥Ç¥ë¸¡ººË¡
Ãø¼Ô *ÃæÅç ¿Ì (¹ñΩ¾ðÊ󳨏¦µæ½ê)
Pagepp. 252 - 257
Keyword ¥â¥Ç¥ë¸¡ºº
Abstract¥Ç¥£¥Ú¥ó¥À¥Ó¥ê¥Æ¥£¤Ø¤Î´Ø¿´¤¬¹â¤Þ¤ê¡¢·Á¼°¼êË¡¡¢ ·Á¼°¸¡¾Ú¤Îµ»½Ñ¤¬ÃíÌܤò½¸¤á¤Æ¤¤¤ë¡£¥â¥Ç¥ë¸¡ºº ¤Ï¼«Æ°¸¡¾ÚË¡¤È¤·¤ÆºÇ¤â½ÅÍפʵ»½Ñ¤Ç¤¢¤ë¡£ ¥â¥Ç¥ë¸¡ººË¡¤Î ´ðËÜŪ¤Ê¹Í¤¨Êý¤Ï¤­¤ï¤á¤Æ¤ï¤«¤ê¤ä¤¹¤¤¡£°ìÊý¡¢ ¥½¥Õ¥È¥¦¥§¥¢³«È¯²áÄø¤Ç¥â¥Ç¥ë¸¡ºº¥Ä¡¼¥ë¤ò ¤É¤Î¤è¤¦¤ËÍѤ¤¤ë¤«¤Ï¼«ÌÀ¤Ç¤Ï¤Ê¤¤¡£ ËܹƤǤϥâ¥Ç¥ë¸¡ººË¡¤Î´ðËÜŪ¤Ê¹Í¤¨Êý¤ò¾Ò²ð¤¹ ¤ë¡£¼¡¤¤¤Ç¡¢¼ÂŬÍѤ¹¤ëºÝ¤Ë¹Í¤¨¤ë¤Ù¤­Í×ÅÀ¤òºî¶È ʬÎà¤Î´ÑÅÀ¤«¤éÀ°Íý¤¹¤ë¡£ºÇ¸å¤Ë¡¢¥½¥Õ¥È¥¦¥§¥¢¹© ³Ø¤ÎÆ»¶ñ¤È¤·¤ÆÍѤ¤¤ëºÝ¤Î²ÝÂê¤Ë¿¨¤ì¤ë

D1-4-2
Âê̾(¾·ÂÔ) Áȹþ¤ß¥·¥¹¥Æ¥à¤Î·Á¼°Åª¼êË¡
Ãø¼Ô *»³º¬ ÃÒ (¶âÂôÂç³Ø)
Pagepp. 258 - 263
Keyword Áȹþ¤ß¥·¥¹¥Æ¥à, ·Á¼°Åª¼êË¡, ¥Ï¥¤¥Ö¥ê¥Ã¥É¥ª¡¼¥È¥Þ¥È¥ó, ³ÎΨ»þ´Ö¥ª¡¼¥È¥Þ¥È¥ó, CEGAR
Abstract¥³¥ó¥Ô¥å¡¼¥¿²Ê³Ø¤Ï¤¹¤Ç¤ËÀ®½Ï¤·¤Æ¤¤¤ë¤¬, Áȹþ¤ß¥·¥¹¥Æ¥à¤ÎÀ߷פËÂФ·¤Æ¤Ï¥³¥ó¥Ô¥å¡¼¥¿²Ê³Ø¡¤À©¸æÍýÏÀ¤ä¥·¥¹¥Æ¥àLSI¤Ê¤É¤ÎÍ»¹çŪ¤Ê¿·¤¿¤ÊʬÌî¤Î³«Âó¤¬Í׵ᤵ¤ì¤ë. ËܹƤǤÏ, ¥³¥ó¥Ô¥å¡¼¥¿²Ê³Ø¤ÈÀ©¸æÍýÏÀ¤Ê¤É¤È¤ÎÍ»¹çŪ¤Ê·Á¼°¥â¥Ç¥ë¤È¸¡¾Ú¼êË¡¤ò¾Ò²ð¤¹¤ë. ¶ñÂÎŪ¤Ë¤Ï, ¥Ï¥¤¥Ö¥ê¥Ã¥É¥ª¡¼¥È¥Þ¥È¥ó¤È³ÎΨ»þ´Ö¥ª¡¼¥È¥Þ¥È¥ó¤ò¾Ò²ð¤·¤Æ, ¤½¤ÎCEGAR(CounterExample Guided Abstraction Refinement)¤Ë¤è¤ë¸¡¾Ú¼êË¡¤ò¾Ò²ð¤¹¤ë.


¥»¥Ã¥·¥ç¥ó SP ÆÃÊ̾·ÂÔ¹Ö±é
Æü»þ: 2009ǯ4·î20Æü(·î) 17:40-18:40
ºÂĹ: »ÔÌÓ ¹°°ì (²£É͹ñΩÂç³Ø Âç³Ø±¡ ¹©³Ø¸¦µæ±¡)

SP-1
Âê̾(¾·ÂÔ) ¿®¹æ½èÍýµ»½Ñ¤ÎȯŸ¤È´ØÏ¢³Ø²ñ¤ÎÊÑÁ«¤Ë¤Ä¤¤¤Æ
Ãø¼Ô Àаæ Ï»ºÈ (²£É͹ñΩÂç³Ø)


2009ǯ4·î21Æü(²Ð)

¥»¥Ã¥·¥ç¥ó A2-1 ²óÏ©¤Èʬ´ô²òÀÏ
Æü»þ: 2009ǯ4·î21Æü(²Ð) 8:45-10:14
ºÂĹ: ¹âºä Âó»Ê (ÂçʬÂç³Ø)

A2-1-1
Âê̾(¾·ÂÔ) ¿ôÍý·×²èË¡¤ÎÈóÀþ·Á²óÏ©²òÀϤؤαþÍÑ
Ãø¼Ô *»³Â¼ À¶Î´ (Ãæ±ûÂç³Ø)
Pagepp. 264 - 269
Keyword ÈóÀþ·Á²óÏ©, ¿ôÍý·×²èË¡, Á´²òõº÷, Àþ·Á·×²èË¡, À°¿ô·×²èË¡
Abstract¿ôÍý·×²è¤ÎʬÌî¤Ç¤Ï¡¤ºÇŬ²½¥¢¥ë¥´¥ê¥º¥à¤¬¥Ï¡¼¥É¥¦¥§¥¢¤Î¿ÊÊâ¤Ë¾¡¤ë¤È¤âÎô¤é¤Ê¤¤Â®Å٤ǿʲ½¤·¤Æ¤ª¤ê¡¤ºÇÀèü¤Î¥¢¥ë¥´¥ê¥º¥à¤ò¼ÂÁõ¤·¤¿ºÇŬ²½¥½¥ë¥Ð¡¼¤ÎÀ­Ç½¤Ï¿ôǯÁ°¤ËÈæ¤Ù¤ÆÈôÌöŪ¤Ë¸þ¾å¤·¤Æ¤¤¤ë¡¥¤³¤Î¤è¤¦¤Ê¿ôÍý·×²èË¡¤ò²óÏ©¤È¥·¥¹¥Æ¥à¹©³Ø¤ÎʬÌî¤Ë»ý¤Á¹þ¤ß±þÍѤ¹¤ë¤³¤È¤Ï¡¤¸«Æ¨¤¹¤³¤È¤Î¤Ç¤­¤Ê¤¤¡¤ÂçÊѶ½Ì£¿¼¤¤¥Æ¡¼¥Þ¤Ç¤¢¤ë¤È¹Í¤¨¤é¤ì¤ë¡¥ËܹƤǤϡ¤ÈóÀþ·Á²óÏ©²òÀϤÎʬÌî¤Ë¤ª¤±¤ëNPº¤ÆñÌäÂê¤Ç¤¢¤ëÁ´²òõº÷ÌäÂê¤òÂоݤˡ¤ºÇ¶á¤ÎÀþ·Á·×²èˡʤӤËÀ°¿ô·×²èË¡¤ÎÈóÀþ·Á²óÏ©²òÀϤؤαþÍѤˤĤ¤¤Æ¾Ò²ð¤¹¤ë¡¥Á°¼Ô¤Ë¤Ä¤¤¤Æ¤Ï¡¤Àþ·Á·×²èË¡¤ÎÍ¥¤ì¤¿¥Õ¥ê¡¼¥½¥Õ¥È¤ÎÍøÍѤˤè¤ê¡¤¿ôǯÁ°¤Þ¤Ç¤Ï¡ÖNPº¤Æñ¡×¤È¤¤¤¦¼öÇû¤«¤é¤È¤Æ¤â²ò¤±¤Ê¤¤¤È¹Í¤¨¤é¤ì¤Æ¤¤¤¿¿ôÀé¡Á¿ôËüÊÑ¿ô¥¯¥é¥¹¤ÎÁ´²òõº÷ÌäÂ꤬²ò¤±¤ë¤è¤¦¤Ë¤Ê¤Ã¤¿¤³¤È¤ò¼¨¤¹¡¥¤Þ¤¿¸å¼Ô¤Ë¤Ä¤¤¤Æ¤Ï¡¤À°¿ô·×²èË¡¤¬¿ôÀé¡Á¿ôËüÊÑ¿ô¥¯¥é¥¹¤ÎÌäÂê¤ò²ò¤±¤ë¤è¤¦¤Ë¤Ê¤Ã¤¿¤³¤È¤Ë¤è¤ê¡¤Á´²òõº÷ÌäÂê¤ò½é¿´¼Ô¤äÈóÀìÌç²È¤Ç¤â´Êñ¤Ë²ò¤±¤ë¤è¤¦¤Ë¤Ê¤Ã¤¿¤³¤È¤ò¼¨¤¹¡¥

A2-1-2
Âê̾2¼¡¸µÈóÀþ·Á¾×ÆÍ¿¶Æ°·Ï¤ËÂФ¹¤ëʬ´ôÅÀ¤ÎÄÉÀ×Ë¡
Ãø¼Ô *īĹ ¿­¸ã (ÂçʬÂç³Ø/¹©³ØÉô), ÄŸµ ¹ñ¿Æ (ÂçºåÂç³Ø/Î×¾²°å¹©³ØÍ»¹ç¸¦µæ¶µ°é¥»¥ó¥¿¡¼), ¹âºä Âó»Ê (ÂçʬÂç³Ø/¹©³ØÉô)
Pagepp. 270 - 273
Keyword ÈóÀþ·Á·Ï, ¾×ÆÍ¿¶Æ°, ʬ´ô¸½¾Ý
AbstractÃdzưºîÆÃÀ­¤òÍ­¤¹¤ë·Ï¤Ë´Ø¤¹¤ë¸¦µæ¤Ï¸Å¤¯¤«¤éÀ¹¤ó¤Ë¹Ô¤ï¤ì¤Æ¤¤¤ë¤¬¡¤°ìÈ̤ˤ³¤Î¥¯¥é¥¹¤Î·Ï¤Ï¡¤·Ï¤ÎÀڤ괹¤ï¤ê¤Ë¤è¤Ã¤Æ²òµ°Æ»¤¬ÉÔ²ÄÈùʬÅÀ¤ò»ý¤Ä¤¿¤á¸·Ì©²ò¤òÍѤ¤¤¿²òÀϤ¬º¤Æñ¤Ç¤¢¤ê¡¤¤µ¤é¤Ë³Æ¡¹¤Î·Ï¤¬ÈóÀþ·Á·Ï¤â¤·¤¯¤Ï¹â¼¡¸µ¤ÎÀþ·Á·Ï¤Çµ­½Ò¤µ¤ì¤ë¾ì¹ç¡¤ÌäÂê¤Ï¤è¤êÊ£»¨¤Ë¤Ê¤ë¡¥°ìÊý¶áǯ¡¤ÃdzưºîÆÃÀ­¤òÍ­¤¹¤ë·Ï¤ÎÃæ¤Ç¤â¡¤¾×ÆÍ¿¶Æ°·Ï¤Ïµ¡³£·Ï¡¤À¸Âηϡ¤À¸ÂַϤʤɤÎÍÍ¡¹¤ÊʬÌî¤Ë¤ª¤¤¤ÆÃíÌܤµ¤ì¤Æ¤ª¤ê¡¤¤È¤¯¤Ë·Ï¤ÎÄêÀ­ÅªÀ­¼Á¤Î²òÌÀ¤Ë¤Ï¥Ñ¥é¥á¡¼¥¿¶õ´Ö¤Ë¤ª¤±¤ëʬ´ô½¸¹ç¤ÎƳ½Ð¤¬½ÅÍפǤ¢¤ë¤¬¡¤¤¤¤º¤ì¤ÎʬÌî¤Ë¤ª¤¤¤Æ¤â¾×ÆÍ¿¶Æ°·Ï¤ËÂФ¹¤ë¾ÜºÙ¤Êʬ´ô²òÀÏË¡¤Ï̤¤À³ÎΩ¤µ¤ì¤Æ¤¤¤Ê¤¤¡¥¤½¤³¤Ç¡¤ËܹƤǤÏ2¼¡¸µÈóÀþ·Á¾×ÆÍ¿¶Æ°·Ï¤ËÂФ¹¤ëʬ´ô¶ÊÀþ¤ÎÄÉÀ×Ë¡¤òÄ󰯤¹¤ë¡¥

A2-1-3
Âê̾Van der PolÊýÄø¼°¤ÎÌÜŪ¤Ë±þ¤¸¤¿´ÊÊØ¤ÊÊѹ¹Ë¡¤ÎÄó°Æ
Ãø¼Ô *¾ïÈ× Ã£»Ê, »³Àî Îõ (¶å½£¹©¶ÈÂç³ØÂç³Ø±¡)
Pagepp. 274 - 279
Keyword Van der Pol, Modified Van der Pol, Limit cycle, Oscillation
AbstractËÜÏÀʸ¤Ï¡¤van der Pol(VDP)ÊýÄø¼°¤Î´ÊÊØ¤ÊÊѹ¹Ë¡¤òÄ󰯤¹¤ë¤â¤Î¤Ç¤¢¤ë¡¥VDPÊýÄø¼°¤Ï¡¤¼«Î忶ư·Ï¤Ç¤¢¤ëºÇ¤âñ½ã¤Ê¼°¤È¤·¤Æ¡¤Éý¹­¤¤Ê¬Ìî¤Ç¸¦µæ¡¦±þÍѤµ¤ì¤Æ¤¤¤ë¡¥Ä󰯤¹¤ëÊѹ¹Ë¡¤Ï¡¤VDPÊýÄø¼°¤ÎÆÃħ¤Ç¤¢¤ë¼«Î忶ư·Ï¤òÊÝ»ý¤·¤¿¤Þ¤Þ¡¤ÍÍ¡¹¤ÊÌÜŪ¤Ë±þ¤¸¤ÆÊýÄø¼°¤òÊѹ¹¤¹¤ë¤³¤È¤¬²Äǽ¤Ç¤¢¤ë¡¥Ä󰯼êË¡¤òÍѤ¤¤Æ¡¤ËÜÏÀʸ¤Ç¤Ï¡¤²æ¡¹¤¬¤³¤ì¤Þ¤ÇÄ󰯤·¤Æ¤¤¤ë½ÐÎÏÇÈ·Á¤Î¿¶Éý¤È¼þ´ü¤òÆÈΩ¤ËÀ©¸æ²Äǽ¤Ç¤¢¤ëVDPÊýÄø¼°¤ÎÆÃħ¤ò¿ô¼°¤òÍѤ¤¤º¤ËÀâÌÀ¤·¡¤¤µ¤é¤Ë¡¤²óÏ©²½¤ËŬ¤·¤¿VDPÊýÄø¼°¤òÄ󰯤¹¤ë¡¥ËܼêË¡¤Ï¡¤VDPÊýÄø¼°¤ò¤µ¤Þ¤¶¤Þ¤Ê¾ìÌ̤DZþÍѤ¹¤ëºÝ¤Ë¡¤¸ú²ÌŪ¤Ê¼êË¡¤È¤Ê¤ë¤È¹Í¤¨¤é¤ì¤ë¡¥


¥»¥Ã¥·¥ç¥ó A2-2 [As/Baʬ²Ê²ñ¹çƱÆÃÊÌ¥»¥Ã¥·¥ç¥ó] ¥¢¥Ê¥í¥°¡¦¥ß¥Ã¥¯¥¹¥È¥·¥°¥Ê¥ëÀß·×¼êË¡
Æü»þ: 2009ǯ4·î21Æü(²Ð) 10:30-11:55
ºÂĹ: »± Úß (ÅìµþÅÔ»ÔÂç³Ø)

A2-2-1
Âê̾(¾·ÂÔ) ¥ß¥Ã¥¯¥¹¥È¥·¥°¥Ê¥ëSoC¤Ë¤ª¤±¤ë²óÏ©¹½À®¤È¥Ó¥Ø¥¤¥Ó¥¢¥â¥Ç¥ë
Ãø¼Ô *°ÂÅÄ ¾´ (Ë¡À¯Âç³ØÍý¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê)
Pagepp. 280 - 284
Keyword SoC, ¥¢¥Ê¥í¥°, ¥Ç¥¸¥¿¥ë, ¥ß¥Ã¥¯¥¹¥É¥â¡¼¥É, ¥â¥Ç¥ë
Abstract¥ß¥Ã¥¯¥¹¥É¥·¥°¥Ê¥ëSoC¤Ë¤ª¤¤¤Æ¤Ï¡¤¤³¤ì¤Þ¤Ç°Ê¾å¤Ë³Æ²óÏ©¥Ö ¥í¥Ã¥¯¤Î¾®ÌÌÀѲ½¡¤Äã¾ÃÈñÅÅÎϲ½¡¤¤Þ¤¿³°ÉÕ¤±ÉôÉʤκ︺¤Ø¤ÎÍ׵᤬¸·¤·¤¯¤Ê¤Ã¤Æ¤¤ ¤ë¡¥SoC¤Ç¤Ï¿¤¯¤Îµ¡Ç½¤ò½¸ÀѤ¹¤ë¤¿¤á¡¤Ê£¿ô¤Îµ¡Ç½¥Ö¥í¥Ã¥¯¤ÎÍ»¹ç¤Ë¤è¤ê¾®·¿²½¡¤ ¹âÀ­Ç½²½¤ò¹Ô¤¦¤³¤È¤¬²Äǽ¤È¤Ê¤ë¡¥¤Þ¤¿¡¤¥Á¥Ã¥×ÌÌÀѤò½Ì¾®¤µ¤»¤ë¤¿¤á¤Î¼õưÉôÉʤò ÍѤ¤¤Ê¤¤²óÏ©¹½À®¤Ê¤É¤ÎSoC¤ËŬ¤·¤¿²óÏ©¹½À®¤¬ºÎÍѤµ¤ì¤ë¾ì¹ç¤â¤¢¤ë¡¥ ËܹƤǤϡ¤¥ß¥Ã¥¯¥¹¥É¥·¥°¥Ê¥ëSoC¤Ë¤ª¤±¤ë²óÏ©¹½À®¡¤ÆÃ¤Ë¥¢¥Ê¥í¥°²óÏ©¤È¤½¤Î¥Ó¥Ø ¥¤¥Ó¥¢¥â¥Ç¥ë¤Ë¤Ä¤¤¤Æ½Ò¤Ù¡¤¤³¤ì¤òÍѤ¤¤¿¥ß¥Ã¥¯¥¹¥É¥·¥°¥Ê¥ëSoCÀ߷פˤĤ¤¤Æ¹Í»¡ ¤¹¤ë¡¥

A2-2-2
Âê̾¥¢¥Ê¥í¥°ÅŻҲóÏ©¡¿¥Ç¥Ð¥¤¥¹¥é¥¤¥Ö¥é¥ê¤Î¤¿¤á¤Î£×£å£â¥¢¥×¥ê¥±¡¼¥·¥ç¥ó¤Î³«È¯
Ãø¼Ô *¿¹»³ À¿ÆóϺ (­ê¥¢¥Ê¥¸¥Ã¥¯¥¹), ²¬Â¼ ½ß°ì, °ÂÅÄ ¾´ (­êTrigence Semiconductor)
Pagepp. 285 - 290
Keyword ¥¢¥Ê¥í¥°²óÏ©, ²óÏ©¥é¥¤¥Ö¥é¥ê, ºÆÍøÍÑ, ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó, ¼«Æ°²½
Abstract¥¢¥Ê¥í¥°Àß·×´ü´Ö¤Îû½Ì¤¬²ÝÂê¤È¤Ê¤Ã¤Æµ×¤·¤¤¡£¥¢¥Ê¥í¥°²óÏ©¤òºÆÍøÍѤ¹¤ë¤¿¤á¤Ë¥é¥¤¥Ö¥é¥ê²½¤¬¤ª¤³¤Ê¤ï¤ì¤Æ¤¤¤ë¤¬¡¢²óÏ©À߷ס¦¸¡¾Ú¤Î´Ä¶­¤È¥é¥¤¥Ö¥é¥êºîÀ®¤Î´Ä¶­¤¬°Û¤Ê¤ë¤¿¤á¡¢³«È¯¤ª¤è¤Ó¹¹¿·¡¦°Ý»ý´ÉÍý¤Î¥³¥¹¥È¤¬Â礭¤¤¡£Ãø¼Ô¤é¤Ï¡¢²óÏ©¤ª¤è¤ÓÁǻҥǥХ¤¥¹¤ò¥é¥¤¥Ö¥é¥ê¤È¤·¤Æ³èÍѤ¹¤ë¤¿¤á¤Ë¡¢Web¾å¤Ç¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¸¡¾Ú¤ò¼Â¹Ô¤·¡¢¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤ª¤è¤Ó¼Â¬·ë²Ì¤òɽ¼¨¤Ç¤­¤ë¥·¥¹¥Æ¥à¤ò³«È¯¤·¤¿¡£ËÜ¥·¥¹¥Æ¥à¤Ï¡¢¥é¥¤¥Ö¥é¥êºîÀ®´Ä¶­¤Ç¤¢¤ë¤ÈƱ»þ¤Ë²óÏ©À߷ס¦¸¡¾Ú´Ä¶­¤Ç¤â¤¢¤ë¡£¥é¥¤¥Ö¥é¥ê³«È¯¼Ô¤Ï¡¢ËÜ¥·¥¹¥Æ¥à¾å¤Ç²óÏ©¤Îưºî¸¡¾Ú¤ò¤ª¤³¤Ê¤¤¡¢¥³¥á¥ó¥È¡¢ÀâÌÀ¿Þ¤Ê¤É¤òÉղäǤ­¤ë¡£¥é¥¤¥Ö¥é¥ê¤¬»²¾È¤¹¤ë£Ó£Ð£É£Ã£Å¥â¥Ç¥ë¤¬¹¹¿·¤µ¤ì¤¿¾ì¹ç¡¢¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¸¡¾Ú¤Ï¼«Æ°Åª¤ËºÆ¼Â¹Ô¤µ¤ì¤ë»ÅÁȤߤʤɤ¬ÁȤ߹þ¤Þ¤ì¤Æ¤¤¤ë¡£ËÜ¥·¥¹¥Æ¥à¤Ï¡¢¼¡À¤Âå¤ÎÀß·×¥·¥¹¥Æ¥à¤È¤·¤Æ¡¢À߷פÎÍúÎò¤òµ­Ï¿¤·¡¢Ç¤°Õ¤ÎÀ߷ץС¼¥¸¥ç¥ó¤ËÌá¤ëµ¡Ç½¤ä¡¢²óÏ©¤ÎÆÃÀ­¤òÁí¹çŪ¤Ëɾ²Á¤¹¤ë¤¿¤á¤ËÊ£¿ô¤Î¥Æ¥¹¥È¥Ù¥ó¥Á¤òʹԤ·¤Æ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤¹¤ëµ¡Ç½¤Ê¤É¤òÈ÷¤¨¤Æ¤¤¤ë¡£


¥»¥Ã¥·¥ç¥ó A2-3 ¥Ë¥å¡¼¥é¥ë¥·¥¹¥Æ¥à¤Î¹©³ØÅª±þÍÑ
Æü»þ: 2009ǯ4·î21Æü(²Ð) 13:15-14:43
ºÂĹ: ÀÄ¿¹ µ× (¾åÃÒÂç³Ø)

A2-3-1
Âê̾¥Ñ¥ë¥¹ÎóÆþÎϤ¬°õ²Ã¤µ¤ì¤¿¥¹¥Ñ¥¤¥­¥ó¥°¥Ë¥å¡¼¥í¥ó²óÏ©¤Îʬ´ô¸½¾Ý
Ãø¼Ô *Àî°æ Í´Æó (Ë¡À¯Âç³Ø ¹©³ØÉô ¾ðÊóÅŵ¤ÅŻҹ©³Ø²Ê), ºØÆ£ ÍøÄÌ (Ë¡À¯Âç³Ø)
Pagepp. 291 - 294
Keyword ¥«¥ª¥¹, ʬ´ô
AbstractËÜÏÀʸ¤Ç¤Ï¡¢Èó¼«Î§·Ï¥¹¥Ñ¥¤¥­¥ó¥°¥Ë¥å¡¼¥í¥ó²óÏ©¤Ë¤Ä¤¤¤Æ¹Í»¡¤¹¤ë¡£ ¤³¤Î²óÏ©¤ÏÅ۵À©¸æÅÅή¸»¡¢2¤Ä¤Î¥­¥ã¥Ñ¥·¥¿¡¢¥¤¥ó¥Ñ¥ë¥¹Åª¤Ëưºî¤¹¤ë¥¹¥¤¥Ã¥Á¤Ç¹½À®¤µ¤ì¤Æ¤¤¤ë¡£¥¹¥¤¥Ã¥Á¤Ï¾õÂ֤Ȼþ´Ö¤Ë°Í¸¤¹¤ë¡£¤³¤Î²óÏ©¤Ï¥«¥ª¥¹¸½¾Ý¡¢Ê¬´ô¸½¾Ý¤Ê¤É¿ºÌ¤Ê¸½¾Ý¤òÄ褹¤ë¡£ ²æ¡¹¤Ï¤³¤Î²óÏ©¤Îʬ´ô¸½¾Ý¤Ë¤Ä¤¤¤Æ¹Í»¡¤¹¤ë¡£

A2-3-2
Âê̾¶á˵´Ø·¸¤ò¹Íθ¤¹¤ë¥Í¥Ã¥È¥ï¡¼¥¯¹½Â¤·¿Î³»Ò·²ºÇŬ²½Ë¡
Ãø¼Ô *¾¾²¼ ½ÕÆà (ÆÁÅçÂç³Ø ¹©³ØÉô Åŵ¤ÅŻҹ©³Ø²Ê À¾Èø¸¦µæ¼¼), À¾Èø ˧ʸ (ÆÁÅçÂç³Ø ¹©³ØÉô Åŵ¤ÅŻҹ©³Ø²Ê)
Pagepp. 295 - 300
Keyword Particle Swarm Optimization (PSO), γ»Ò·²ºÇŬ²½, ºÇŬ²½ÌäÂê
AbstractËܸ¦µæ¤Ç¤Ï¡¢¶á˵´Ø·¸¤ò¹Íθ¤¹¤ë¥Í¥Ã¥È¥ï¡¼¥¯¹½Â¤·¿Î³»Ò·²ºÇŬ²½Ë¡ (Particle Swarm Optimization: NS-PSO) ¤òÄ󰯤¹¤ë¡£NS-PSO¤ÎÁ´Î³»Ò¤Ï2¼¡¸µ¥Í¥Ã¥È¥ï¡¼¥¯¤Ë¤ª¤±¤ë¶á˵´Ø·¸¤Ë½¾¤Ã¤ÆÎÙÀܤ¹¤ëγ»Ò¤È·ë¹ç¤µ¤ì¤Æ¤ª¤ê¡¢Ä¾ÀÜ·ë¹ç¤µ¤ì¤Æ¤¤¤ëγ»Ò´Ö¤Ç³Æ¼«¤ÎºÇÎɤΰÌÃÖ¤ò¾ðÊó¸ò´¹¤¹¤ë¡£¤Þ¤¿¡¢¥¹¥Æ¥Ã¥×Ëè¤Ë¤½¤Î»þ¤ÎºÇÎɤΰÌÃÖ¤ò»ý¤Äγ»Ò¤ò¾¡¼Ô¤È¤·¡¢¥Í¥Ã¥È¥ï¡¼¥¯¾å¤Î¾¡¼Ô¤È¤Î¶á˵µ÷Î¥¤Ë½¾¤¤³ÆÎ³»Ò¤Ï¹¹¿·¤µ¤ì¤ë¡£

A2-3-3
Âê̾¥«¥ª¥¹°Å¹æ¤Î°Å¹æ¶¯ÅÙ¸¡¾Ú¤Ë´Ø¤¹¤ë¸¦µæ
Ãø¼Ô *º´Æ£ ¸µ¼ù (ÌÀ¼£Âç³ØÂç³Ø±¡Íý¹©³Ø¸¦µæ²Ê), ³ùÅÄ ¹°Ç· (ÌÀ¼£Âç³ØÍý¹©³ØÉô)
Pagepp. 301 - 305
Keyword ¥«¥ª¥¹, °Å¹æ, ²òÀÏ, °Å¹æ¶¯ÅÙ
AbstractÉ®¼Ô¤é¤Ï¤³¤ì¤Þ¤Ç¡¤Chaotic Neuron Type Nonlinearity¤òÍѤ¤¤¿ÈëÌ©ÄÌ¿®¤ÎÊÑÄ´¥·¥¹¥Æ¥à¤òÄ󰯤·¤Æ¤­¤¿¡¥¤³¤Î¤è¤¦¤Ê¥«¥ª¥¹ÊÑÄ´¥·¥¹¥Æ¥à¤Î¿®ÍêÀ­¤òɾ²Á¤¹¤ëÊýË¡¤È¤·¤Æ¡¤¥ê¥¢¥×¥Î¥Õ»Ø¿ô¤ò¸µ¤Ë¤·¤¿·¸¿ô´¶Å٤˴ؤ¹¤ë¸¡¾Ú¤ä¡¤Diehard Test¤òÍѤ¤¤¿¥é¥ó¥À¥àÀ­¤Ë´Ø¤¹¤ë¸¡¾Ú¤ò¼Â»Ü¤·¤Æ¤¤¤ë¡¥¤·¤«¤·¤Ê¤¬¤é¡¤¥«¥ª¥¹ÊÑÄ´¥·¥¹¥Æ¥à¤¬¤É¤ÎÄøÅ٤ΰŹ涯ÅÙ¤ò»ý¤Ä¤Î¤«¤Ë¤Ä¤¤¤Æ¤Ï½½Ê¬¤Ê¸¡Æ¤¤¬¤Ê¤µ¤ì¤Æ¤¤¤Ê¤¤¡¥ Ëܸ¦µæ¤Ç¤Ï¡¢¥«¥ª¥¹ÊÑÄ´¥·¥¹¥Æ¥à¤Î°Å¹æ¶¯Å٤θ¡¾Ú¤ò¹Ô¤¦¡¥¾ò·ï¤È¤·¤Æ¡¤Ê¿Ê¸¡¤°Å¹æÊ¸¤Î¥Ú¥¢¤¬ÌÀ¤é¤«¤Ë¤Ê¤Ã¤¿¾ì¹ç¤Ë²Ã¤¨¡¤ÆâÉô¾õÂÖÊÑ¿ô¤ò¤â´ûÃΤȤʤ俾ì¹ç¤òÁÛÄꤷ¡¤¤É¤ÎÄøÅ٤λþ´Ö¡¤·×»»Î̤Ǹ°¤È¤Ê¤ë¥Ñ¥é¥á¡¼¥¿¤ò²òÀϤ¹¤ë¤³¤È¤¬²Äǽ¤«¤ò»»½Ð¤·¡¤É¾²Á¤¹¤ë¡¥

A2-3-4
Âê̾ʬ´ô¥Ë¥å¡¼¥í¥ó¤Î¸½¾Ý²òÀϤÈA/D¥³¥ó¥Ð¡¼¥¿¤Ø¤Î±þÍÑ
Ãø¼Ô *¼êÅç »ÌÌæ, ºØÆ£ ÍøÄÌ (Ë¡À¯Âç³Ø)
Pagepp. 306 - 309
Keyword ʬ´ô, A/DÊÑ´¹
AbstractËÜÏÀʸ¤Ç¤Ï¥¹¥Ñ¥¤¥­¥ó¥°¥Ë¥å¡¼¥í¥ó¤Ë´ð¤Å¤¯A/D ¥³¥ó¥Ð¡¼¥¿(°Ê²¼ADC ¤Èά¤¹) ¤Ë¤Ä¤¤¤Æ¹Í»¡¤¹¤ë¡£ ¥¹¥Ñ¥¤¥­¥ó¥°¥Ë¥å¡¼¥í¥ó¤ÏÀÑʬȯ²Ðưºî¤Ë¤è¤Ã¤ÆÀ©¸æ¤µ¤ì¡¢ÍÍ¡¹¤Ê¥¹¥Ñ¥¤¥¯Îó¤òȯÀ¸¤µ¤»¤ë¡£ ¤½¤Îưºî¤Ï¥¹¥Ñ¥¤¥¯¥Ý¥¸¥·¥ç¥ó¥Þ¥Ã¥×¤Ë¤è¤Ã¤ÆÀºÌ©¤Ë²òÀϤ¹¤ë¤³¤È¤¬¤Ç¤­¤ë¡£ ¤Þ¤º¡¢´ðËÜŪ¤Ê¦²-¦¤ ¥â¥¸¥å¥ì¡¼¥¿(°Ê²¼SDM ¤Èά¤¹) ¤È£²¿ÊÉ乿²½¤È¤½¤Î¥À¥¤¥Ê¥ß¥¯¥¹¤ò¾Ò²ð¤¹¤ë¡£ ¼¡¤Ë¡¢³°ÉôÆþÎϤˤè¤ë¶¯À©È¯²Ð¤òÍѤ¤¤¿ADC¤ò¾Ò²ð¤·¡¢¥·¥¹¥Æ¥à¤Î°ÂÄêÀ­¤òÄ󰯤¹¤ë¡£


¥»¥Ã¥·¥ç¥ó Ba2-1 ¥¢¥Ê¥í¥°½¸ÀѲóÏ©¥Ö¥í¥Ã¥¯
Æü»þ: 2009ǯ4·î21Æü(²Ð) 9:00-10:15
ºÂĹ: ¾®ÎÓ ½ÕÉ× (·²ÇÏÂç³Ø)

Ba2-1-1
Âê̾A 5.26-nW 0.8-V CMOS Current and Voltage Reference Circuit Without Resistors
Ãø¼Ô *Zhangcai Huang (Fukuoka Industry, Science & Technology Foundation), Yubo Guo, Yasuaki Inoue (Graduate School of Information, Production and Systems, Waseda University)
Pagepp. 310 - 314
Keyword voltage reference, current reference
AbstractIn this paper, a CMOS sub-1-V nanopower reference is proposed. The proposed circuit has the most attractive merit that it can afford reference current and reference voltage simultaneously. And the temperature coefficient of the reference voltage and reference current are 28ppm/oC and 66ppm/oC, respectively. Moreover, the proposed circuit is implemented without resistors and with only eight standard CMOS transistors. Also, the power supply voltage can be as low as 0.8V and its power consumption is only 5.26nW.

Ba2-1-2
Âê̾An Automatic Design Method for MOS Analog Circuits using Reduction of Independent Design Variables Based on Topological Constraints
Ãø¼Ô *¸ÅÀî ³îÍÎ (¥¸¡¼¥À¥Ã¥È), °æ¾å Ì÷½© (Áá°ðÅÄÂç³ØÂç³Ø±¡ ¾ðÊó¥·¥¹¥Æ¥à¸¦µæ²Ê), ËÌ¾ë »°Ïº (¥ë¥Í¥µ¥¹¥Æ¥¯¥Î¥í¥¸)
Pagepp. 315 - 320
Keyword CMOS analog integrated circuits, design automation, operational amplifier, optimization
AbstractThis paper presents an automatic design method that uses the reduced independent design variables based on topological constraints for MOS analog circuits. This method is based on the solution space where the MOS analog circuit design specifications can be met if and only if the MOS analog circuit operates under topological constraints and its MOS transistors remain in the saturation region. This method results in efficient reduction of the design space of MOS analog circuit. The proposed method has three major advantages: independence with respect to 1) process and power supply voltage; 2) topology; and 3) methodology. These advantages are shown by presenting examples of op-amp design using reduced design variables with 41 corner conditions and voltage scaling. Up to 10x-60x improvement in optimization CPU times has been achieved, with the automatic design method consistently converging to the required specification.

Ba2-1-3
Âê̾¶¯È¿Å¾ÎÎ°èÆ°ºî¤ò¹Íθ¤·¤¿¥Ð¥¤¥¢¥¹¥ª¥Õ¥»¥Ã¥È·¿¥È¥é¥ó¥¹¥³¥ó¥À¥¯¥¿¤ÎÄãÅÅÎϲ½¼êË¡
Ãø¼Ô µÜß· Ôè»ÖÂç, *ÃæÂ¼ ¿¸ÂÀϯ, ¾¾¸µ ƣɧ, Ìî¸ý ÂÙÌÀ (ËɱÒÂç³Ø¹» ±þÍÑʪÍý³Ø²Ê ±þÍÑʪÍý¾ðÊó)
Pagepp. 321 - 325
Keyword ¥¢¥Ê¥í¥°½¸ÀѲóÏ©, ¥È¥é¥ó¥¹¥³¥ó¥À¥¯¥¿, Àþ·Á²½, ¾ÊÅÅÎϲ½, £Ã£Í£Ï£Ó
Abstract¥Ð¥¤¥¢¥¹¥ª¥Õ¥»¥Ã¥È·¿¥È¥é¥ó¥¹¥³¥ó¥À¥¯¥¿¤Ï¡¢Àþ·ÁÀ­¤ÎÍ¥¤ì¤¿²óÏ©¤Ç¤¢¤ê¡¢¥È¥é¥ó¥¹¥³¥ó¥À¥¯¥¿¥ó¥¹¤ÈưºîÈϰϤòÆÈΩ¤ËÀßÄê¤Ç¤­¤ë¤È¤¤¤¦ÆÃħ¤òÍ­¤¹¤ë¡£¤·¤«¤·¡¢ºÇÂçÆþÎÏÅ۵¤Ë¹ç¤ï¤»¤¿°ìÄêÅÅήÃͤΥơ¼¥ëÅÅή¤ÎÀßÄê¤Ë¤è¤ê¾ÃÈñÅÅή¤ò̵Â̤ËÏ«Èñ¤¹¤ëÌäÂêÅÀ¤¬¤¢¤ë¡£ ËÜÏÀʸ¤Ç¤Ï¡¢ÆþÎÏÅ۵¤¬¶¯È¿Å¾ÎÎ°èÆ°ºî¤È¤Ê¤ë¾ò·ï¤òƳÆþ¤·¡¢¤½¤Î¾ò·ï¤Ë´ð¤Å¤­¡¢ÆþÎÏÅ۵¤Î¿¶Éý¤ÎÂ礭¤µ¤Ë´Ø¤ï¤é¤º¾ï¤ËɬÍ׺ÇÄãÅÅήÃͤò¤ï¤º¤«¤Ë¾å²ó¤ë¤è¤¦¤Ê2¾èÅÅή¸»¤ò»ÈÍѤ¹¤ëŬ±þ¥Ð¥¤¥¢¥¹¼êË¡¤òÍѤ¤¤ë¡£¤Þ¤¿¡¢ºÇ¾®ÅÅήưºîµÚ¤Ó˰ÏÂÎÎ°èÆ°ºî¤Ëȼ¤¦°ÜưÅÙÄã²¼¤Ë¤è¤ëÀþ·ÁÀ­¤Î°­²½¤ËÂФ·¤Æ¡¢¥È¥é¥ó¥¹¥³¥ó¥À¥¯¥¿¤ËÄñ¹³ÎÎ°èÆ°ºî¤¹¤ëMOS¥È¥é¥ó¥¸¥¹¥¿¤òÉղ乤뤳¤È¤Ç²þÁ±¤¹¤ë¡£


¥»¥Ã¥·¥ç¥ó Ba2-2 ¥µ¥Ö¥¹¥ì¥Ã¥·¥ç¥ë¥Éưºî²óÏ©
Æü»þ: 2009ǯ4·î21Æü(²Ð) 10:30-12:10
ºÂĹ: ¹â°æ ¿­Ï (·²ÇÏÂç³Ø)

Ba2-2-1
Âê̾MOSFET¤Î¥µ¥Ö¥¹¥ì¥Ã¥·¥ç¥ë¥ÉÆÃÀ­¤òÍøÍѤ·¤¿PTAT¥¯¥í¥Ã¥¯¥Ñ¥ë¥¹È¯À¸²óÏ©
Ãø¼Ô *¾åÌî ·û°ì, Àõ°æ ůÌé, ±«µÜ ¹¥¿Î (Ë̳¤Æ»Âç³Ø Âç³Ø±¡ ¾ðÊó²Ê³Ø¸¦µæ²Ê)
Pagepp. 326 - 331
Keyword ²¹ÅÙ¥»¥ó¥µ, Äã¾ÃÈñÅÅÎÏ, ¥µ¥Ö¥¹¥ì¥Ã¥·¥ç¥ë¥ÉÎΰè, PTATÅÅή, ¼þÇÈ¿ôƱ´ü¥ë¡¼¥×
AbstractMOSFET¤Î¥µ¥Ö¥¹¥ì¥Ã¥·¥ç¥ë¥ÉÅÅή¤È¼þÇÈ¿ôƱ´ü¥ë¡¼¥×µ»½Ñ¤òÍøÍѤ¹¤ë¤³¤È¤Ç¡¢¼þÇÈ¿ô¤¬ÀäÂв¹ÅÙ¤ËÈæÎ㤹¤ëPTAT (Proportional To Absolute Temperature)¥¯¥í¥Ã¥¯¥Ñ¥ë¥¹¤òÀ¸À®¤¹¤ë¤³¤È¤¬²Äǽ¤Ç¤¢¤ë¡£PTAT¥¯¥í¥Ã¥¯¥Ñ¥ë¥¹¤Ï¡¢²¹ÅÙ¥»¥ó¥µ¤Ë»ÈÍѤ¹¤ë¤³¤È¤¬¤Ç¤­¤ë¡£¼ÂºÝ¤Ë¥»¥ó¥µ²óÏ©¤ò»îºî¤·¡¢¤½¤Îưºî¤ò³Îǧ¤·¤¿¡£¤³¤Î¥»¥ó¥µ¤Ï¡¢¥µ¥Ö¥¹¥ì¥Ã¥·¥ç¥ë¥Éưºî¤ÎCMOS²óÏ©¤Ç¹½À®¤µ¤ì¡¢10 uW¤Î¶ËÄã¾ÃÈñÅÅÎÏ¤ÇÆ°ºî¤¹¤ë¡£

Ba2-2-2
Âê̾¼åȿžưºî¶ËÄãÅ۵¶îưRail-to-Rail¥¢¥Ê¥í¥°ÁýÉý²óÏ©
Ãø¼Ô *¸¶ÅÄ ÃοÆ, ¹â¶¶ ÎÉÊå, º´»³ ͵µª, ±ü»³ À¡Íº, ¾¾²¼ ¹À°ì (»³·ÁÂç³ØÂç³Ø±¡ Íý¹©³Ø¸¦µæ²Ê)
Pagepp. 332 - 336
Keyword ¶ËÄãÅ۵¶îư, ¼åȿžưºî, ¥¢¥Ê¥í¥°²óÏ©
AbstractËܸ¦µæ¤Ç¤Ï¡¢¥Ð¥Ã¥Æ¥ê¡¼Åù¤Î¸Â¤é¤ì¤¿ÅÅÎϤǿôǯưºî²Äǽ¤Ê¶ËÄãÅ۵¶îư¥¢¥Ê¥í¥°²óÏ©¤ò´Þ¤á¤¿LSI¤Î¼Â¸½¤Ë¸þ¤±¡¢¥µ¥Ö¥¹¥ì¥Ã¥·¥ç¥ë¥ÉÅÅή¤òÍѤ¤¤Æ¡¢¤·¤­¤¤ÃÍÅ۵°Ê²¼¤Î¶ËÄãÅ۵¤Ç¶îư¤·¡¢Æþ½ÐÎÏRail-to-Railưºî¤¬²Äǽ¤Êº¹Æ°ÁýÉý²óÏ©¤òÀ߷פ·¡¢»îºîɾ²Á¤ò¹Ô¤Ã¤¿¡£

Ba2-2-3
Âê̾¥µ¥Ö¥¹¥ì¥Ã¥·¥ç¥ë¥ÉCMOS±é»»ÁýÉý´ï¤Ë¤è¤ëÂçÍÆÎÌ¥­¥ã¥Ñ¥·¥¿Åù²ÁÁÇ»Ò
Ãø¼Ô *ÈÓÅÄ ÃÒµ®, Àõ°æ ůÌé, ±«µÜ ¹¥¿Î (Ë̳¤Æ»Âç³ØÂç³Ø±¡ ¾ðÊó²Ê³Ø¸¦µæ²Ê)
Pagepp. 337 - 342
Keyword ¥µ¥Ö¥¹¥ì¥Ã¥·¥ç¥ë¥ÉÎΰè, ±é»»ÁýÉý´ï, ¥­¥ã¥Ñ¥·¥¿, ½¸ÀѲóÏ©
Abstract½¸ÀѲóÏ©¤Ç¤Ï°ìÈ̤˥ǥХ¤¥¹¤Î¾®ÌÌÀѲ½¤È¹â½¸ÀѲ½¤¬µá¤á¤é¤ì¤ë¡£¤·¤«¤·ÍÆÎ̤ÈÄñ¹³¤Ï¤½¤ì¤é¤ÎÃͤËÈæÎ㤷¤ÆÁÇ»ÒÌÌÀѤ¬Â礭¤¯¤Ê¤ë¤Î¤Ç¡¢ÂçÍÆÎÌ¥­¥ã¥Ñ¥·¥¿¤ä¹âÄñ¹³ÁǻҤϽ¸ÀѲ½¤¬º¤Æñ¤Ç¤¢¤ë¡£¤·¤«¤·¡¢²óÏ©¤ò¹½À®¤¹¤ë¾å¤Ç¤Ï¡¢ÂçÍÆÎ̤ä¹âÄñ¹³¤ò¥Á¥Ã¥×¾å¤Ç»ÈÍѤǤ­¤ì¤ÐÊØÍø¤Ê¤³¤È¤¬Â¿¤¤¡£¤½¤³¤Ç¡¢ÂçÍÆÎÌ¥­¥ã¥Ñ¥·¥¿¤Îưºî¤òMOSFET²óÏ©¤ÇÅù²ÁŪ¤Ë¼Â¸½¤¹¤ë¤³¤È¤ò¹Í¤¨¤ë¡£ÂçÍÆÎ̤ò¾®ÌÌÀÑMOSFET²óÏ©¤ËÃÖ¤­´¹¤¨¤ë¤³¤È¤¬¤Ç¤­¤ë¤Ê¤é¤Ð¡¢½¾Íè³°Éô¤ËÀܳ¤·¤Æ¤¤¤¿¥­¥ã¥Ñ¥·¥¿¤ò¥Á¥Ã¥×¾å¤ËÅëºÜ¤Ç¤­¤ë¤Î¤Ç²óÏ©¹½À®¤¬´Êñ¤Ë¤Ê¤ë¡£ËܹƤǤϡ¢¥µ¥Ö¥¹¥ì¥Ã¥·¥ç¥ë¥ÉÎΰè¤Çưºî¤¹¤ëMOSFET²óÏ©¤¬Èó¾ï¤ËÂ礭¤Ê»þÄê¿ô¤ò»ý¤Ä¤³¤È¤òÍøÍѤ·¤ÆÂçÍÆÎÌ¥­¥ã¥Ñ¥·¥¿¤Îưºî¤òÌϵ¼¤¹¤ëÊýË¡¤òÄ󰯤¹¤ë¡£

Ba2-2-4
Âê̾¥µ¥Ö¥¹¥ì¥Ã¥·¥ç¥ë¥ÉCMOSÏÀÍý²óÏ©¤Î¤¿¤á¤Î¥ª¥ó¥Á¥Ã¥×ÅŸ»
Ãø¼Ô *ÅèÅÄ ±Ñ¿Í, ¾åÌî ·û°ì, Àõ°æ ůÌé, ±«µÜ ¹¥¿Î (Ë̳¤Æ»Âç³Ø ¾ðÊó²Ê³Ø¸¦µæ²Ê)
Pagepp. 343 - 348
Keyword ¥µ¥Ö¥¹¥ì¥Ã¥·¥ç¥ë¥É, ÏÀÍý¥·¥¹¥Æ¥à, CMOS, ÅŸ»²óÏ©, ¥Ç¥¸¥¿¥ë¥·¥¹¥Æ¥à
Abstract¶áǯ¡¢¾ðÊó²½¼Ò²ñ¤ÎŸ³«¤Ë½¾¤Ã¤Æ¥»¥ó¥µ¥Í¥Ã¥È¥ï¡¼¥¯¤Î¹½Ãۤȿ¼ï¿Íͤʥ¹¥Þ¡¼¥È¥»¥ó¥µLSI¤¬Í׵ᤵ¤ì¤ë¤è¤¦¤Ë¤Ê¤Ã¤¿¡£¤³¤ì¤é¥»¥ó¥µLSI¤Ï¹­ÈϰϤËʬ»¶ÇÛÃÖ¤µ¤ì¡¢¸Â¤é¤ì¤¿¥¨¥Í¥ë¥®¡¼¸»¤ÇĹ»þ´Öưºî¤¹¤ë¤³¤È¤¬Í׵ᤵ¤ì¤ë¡£¤·¤¿¤¬¤Ã¤ÆLSI¾å¤Î¥Ç¥£¥¸¥¿¥ë²óÏ©¤ò¥µ¥Ö¥¹¥ì¥Ã¥·¥ç¥ë¥ÉÎΰè¤Çưºî¤µ¤»¤ëɬÍפ¬¤¢¤ê¡¢¤½¤Î¤¿¤áLSI¾å¤ÎÅŸ»²óÏ©¤Ë¹©Éפ¬É¬ÍפȤʤ롣Ëܸ¦µæ¤Ç¤Ï¤½¤ÎÅŸ»²óÏ©¤ò¹½À®¤¹¤ë¤¿¤á¤ÎÊý¿Ë¤ò¼¨¤¹¡£ ¤³¤Î¤è¤¦¤Ê¥µ¥Ö¥¹¥ì¥Ã¥·¥ç¥ë¥ÉLSI¤ËÂФ¹¤ëºÇÂç¤ÎÍ×µá¤ÏÄ㥨¥Í¥ë¥®¡¼Æ°ºî¤Ë¤¢¤ë¡£¥µ¥Ö¥¹¥ì¥Ã¥·¥ç¥ë¥ÉLSI¤Ï;®·¿¥Þ¥¤¥¯¥íÅÅÃӤǿôǯ¤Ë¤ï¤¿¤êưºî¤¹¤ë¤³¤È¤¬Í׵ᤵ¤ì¡¢ÍýÁÛŪ¤Ë¤ÏÉÏ¥¨¥Í¥ë¥®¡¼´Ä¶­¡ÊÇöÊë¸÷,¾®²¹ÅÙº¹,¼åÅÅÇÈ,Èù¾®¿¶Æ°¤Ê¤É¡Ë¤«¤éºÎ¼è¤Ç¤­¤ë¥¨¥Í¥ë¥®¡¼¤À¤±¤Ç±Êµ×¤Ëư¤¯¤³¤È¤¬Ë¾¤Þ¤ì¤ë¡£¥µ¥Ö¥¹¥ì¥Ã¥·¥ç¥ë¥ÉLSI¤Î±þÍѤǤϹ⤤®ÅÙÀ­Ç½¤ÏÍ׵ᤵ¤ì¤Ê¤¤¤¬¡¢¤½¤ì¤Ç¤âÍÑÅӤ˱þ¤¸¤¿½êÄê¤Î®ÅÙ¤ÇÆ°¤«¤¹¤¿¤á¤Ë¤Ï¾ÃÈñ¥¨¥Í¥ë¥®¡¼¤È¤Î·ó¤Í¹ç¤¤¤¬É¬ÍפȤʤ롣¤Ä¤Þ¤ê¡ÖÍÑÅÓ¤ËɬÍפʥ²¡¼¥È®ÅÙ¤¬ÆÀ¤é¤ì¤ëÈϰϤǾÃÈñ¥¨¥Í¥ë¥®¡¼¤¬ºÇ¾®¡×¤È¤Ê¤ë¤è¤¦¤ËLSI¤òưºî¤µ¤»¤Ê¤¯¤Æ¤Ï¤Ê¤é¤Ê¤¤¡£¤³¤Î¤¿¤áLSI¥Á¥Ã¥×¾å¤ËÀìÍѤÎÅŸ»²óÏ©¤òÀߤ±¤ë¤³¤È¤¬É¬ÍפȤʤ롣°Ê²¼¤Ë¤ª¤¤¤Æ¡¢¤³¤Î¥ª¥ó¥Á¥Ã¥×ÅŸ»²óÏ©¤ÎÀß·×Êý¿Ë¤ò½Ò¤Ù¤ë¡£


¥»¥Ã¥·¥ç¥ó Ba2-3 ÅŸ»
Æü»þ: 2009ǯ4·î21Æü(²Ð) 13:30-15:10
ºÂĹ: ¾¾¸µ ƣɧ (ËɱÒÂç³Ø¹» ±þÍÑʪÍý³Ø²Ê)

Ba2-3-1
Âê̾ͶƳÀ­¤äÍÆÎÌÀ­Éé²Ù¤ËÂФ·¤Æ¹â¸úΨ¤ò°Ý»ý¤Ç¤­¤ë¥¹¥¤¥Ã¥Á¥È¥­¥ã¥Ñ¥·¥¿DC-AC¥³¥ó¥Ð¡¼¥¿
Ãø¼Ô *ÂçÅÄ ¿¿ºÚÈþ, »ûÅÄ ¿¸Ìé (·§ËÜÅÅÇȹ©¶È¹âÅùÀìÌç³Ø¹»), ¹¾¸ý ·¼ (ÀŲ¬Âç³Ø), ÂçÅÄ °ìϺ (·§ËÜÅÅÇȹ©¶È¹âÅùÀìÌç³Ø¹»)
Pagepp. 349 - 354
Keyword ¥¹¥¤¥Ã¥Á¥È¥­¥ã¥Ñ¥·¥¿ÅŸ», ͶƳÀ­Éé²Ù, ÍÆÎÌÀ­Éé²Ù, ¥¤¥ó¥Ð¡¼¥¿, DC-AC¥³¥ó¥Ð¡¼¥¿
Abstract¥¹¥¤¥Ã¥Á¥È¥­¥ã¥Ñ¥·¥¿¤Ï¡¤¥³¥¤¥ë¤ä¥È¥é¥ó¥¹¤òÍѤ¤¤Ê¤¤¤³¤È¤«¤é̵¼§Â«¡¦Ä㻨²»¤Ç¤¢¤ê¾®·Á¤Ç·ÚÎ̤Ȥ¤¤¦ÆÃŤ¬¤¢¤ë¤¬¡¤Í¶Æ³À­¤ÎÉé²Ù¤Ë´Ø¤·¤Æ¤Ï½ÐÎϦ¥¹¥¤¥Ã¥Á¤¬¥ª¥Õ¤Î´Ö¤Ë¥µ¡¼¥¸Å۵¤¬È¯À¸¤¹¤ë¤¿¤á¡¤¤³¤ì¤Þ¤Ç¼Â¸³¤ä²òÀϤ¬¤Ê¤µ¤ì¤Æ¤¤¤Ê¤«¤Ã¤¿¡¥ ËÜÄ󰯲óÏ©¤Ï¡¤¥×¥Ã¥·¥å¥×¥ë·¿¤ÎľÊÂÎóÀÚ¤êÂØ¤¨SCÅŸ»¤ò´ðËܤȤ¹¤ë¿·¤·¤¤²óÏ©¤Ç¡¤Í¶Æ³À­Éé²Ù¤Ë¤ª¤¤¤Æ¤â¥µ¡¼¥¸Å۵¤òȯÀ¸¤»¤º°ÂÄꤷ¤¿½ÐÎϤòÆÀ¤é¤ì¤ë¡¥¤Þ¤¿ÁÐÊý¸þ¥¹¥¤¥Ã¥Á¤òÍѤ¤¥¯¥í¥Ã¥¯ÇÈ·Á¤ò¹©Éפ¹¤ë¤³¤È¤Ç¡¤ÅÅÎϾÃÈñ¤Î¾¯¤Ê¤¤ÍÆÎÌÀ­Éé²Ù¤äͶƳÀ­Éé²Ù¤Ë¤ª¤¤¤ÆÅÅή¤òÆþÎϦ¤Ë²óÀ¸¤Ç¤­¤ë¡¥Hspice¤Ë¤è¤ë¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤Ã¤ÆÆ°ºî¤ò³Îǧ¤·¡¤80%°Ê¾å¤Î¹â¸úΨ¤¬ÆÀ¤é¤ì¤ë¤³¤È¤ò³Î¤«¤á¤¿¡¥

Ba2-3-2
Âê̾Inrush Current Limiting Circuit For High Speed Start-Up Low Dropout Regulator
Ãø¼Ô *Socheat Heng (University of Electro-Communications), Weichun Tung (Tamkang University), Cong-Kha Pham (University of Electro-Communications)
Pagepp. 355 - 360
Keyword inrush current, soft start, ldo
AbstractIn this work, we proposed an inrush current limiting circuit to improve the soft start time of fully low dropout voltage linear regulator (LDO) which is used in power management IC system. Simulating by HSPICE with 0.18um CMOS technology shows that a high speed start up time with maximum only 313us for decoupling capacitor COUT=10uF and load current ILOAD=200mA, power supply voltage VDD=5.5V can be achieved. More over, the maximum inrush current is restricted to less than 144.1mA for COUT=10uF, ILOAD=0.1mA and VDD=2.2V. The proposed circuit also consumes a low DC power consumption of only 4uA which is applicable to low power LDO design.

Ba2-3-3
Âê̾¥¤¥ó¥¿¡¼¥ê¡¼¥Ö¹½À®¤òÍѤ¤¤¿´ðÃ϶ɥѥ¥¢¥ó¥×ÍÑÊñÍíÀþÄÉÀ×ÅŸ»
Ãø¼Ô ¿À¸Í ¾Ï¹¨, *¶âÅÄ ²í¿Í, ¾®ÎÓ ½ÕÉ× (·²ÇÏÂç³ØÂç³Ø±¡), »Ö¼ ε¹¨, Ê¿ÅÄ ¿Î»Î, »³´ß ·òÂÀϺ (½»Í§Åŵ¤¹©¶È³ô¼°²ñ¼Ò), ¹â°æ ¿­Ï (·²ÇÏÂç³ØÂç³Ø±¡)
Pagepp. 361 - 366
Keyword ÊñÍíÀþÄÉÀ×ÅŸ», ̵Àþ´ðÃ϶É, ¥Ñ¥ï¡¼¥¢¥ó¥×
AbstractËÜÏÀʸ¤Ç¤Ï´ðÃ϶ɥѥ¥¢¥ó¥×ÍѤιâ¸úΨ¤Ç¤«¤Ä¹­ÂÓ°è¤ÊÊñÍíÀþÄÉÀ×ÅŸ»²óÏ©¤Î¿·¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤òÊó¹ð¤¹¤ë¡£½¾Íè¤Î²óÏ©¹½À®¤Ç¤Ï¸úΨ¤ÈÂӰ褬¥È¥ì¡¼¥É¥ª¥Õ¤Î´Ø·¸¤Ë¤Ê¤Ã¤Æ¤ª¤ê¡¢ÂÓ°è¤ò±ä¤Ð¤¹¤Ë¤Ï¸úΨ¤òµ¾À·¤Ë¤¹¤ëɬÍפ¬¤¢¤Ã¤¿¡£º£²ó¤ÎÄ󰯲óÏ©¤Ç¤Ï¥¤¥ó¥¿¡¼¥ê¡¼¥Ö¹½À®¤òÍѤ¤¤ë¤³¤È¤Ç¡¢¹â¸úΨ¤È¹­ÂÓ°è¤ÎξΩ¤ò²Äǽ¤Ë¤·¤¿¡£

Ba2-3-4
Âê̾A Single-Inductor Dual-Output DC-DC Converter
Ãø¼Ô Santhos Ario Wibowo, ¿¹ °Îʸ¼ù, *ÄÅ»ÖÅÄ ·ò¸ã, ÈþÏ ½Ó²ð, ¾®ÎÓ ½ÕÉ× (·²ÇÏÂç³ØÂç³Ø±¡), ¾®Åĸý µ®¹¨, ¹â»³ Ìмù, ÎëÌÚ Áï, ¿¼°æ ¸ù, ¾¾ÅÄ ½ç°ì (°°²½À®Åì¸÷¥Ñ¥ï¡¼¥Ç¥Ð¥¤¥¹ ³ô¼°²ñ¼Ò)
Pagepp. 367 - 371
Keyword Single-Inductor Dual-Output, Pseudo-CCM, DC-DC converter
AbstractThis paper presents a dual-output boost and buck-boost converter with a single inductor that operates in Pseudo-Continuous Conduction Mode (PCCM). The converter provides positive and negative dual-output voltages with low-cost small-area characteristics. Theory analysis of the SIDO shows that output voltages are independently regulated, thus suppresses the cross regulation problem.


¥»¥Ã¥·¥ç¥ó Bd2-1 É乿²½Êý¼°
Æü»þ: 2009ǯ4·î21Æü(²Ð) 9:00-10:15
ºÂĹ: °¤Éô ½Ê¿Í (¿·³ã¸©¹©¶Èµ»½ÑÁí¹ç¸¦µæ½ê)

Bd2-1-1
Âê̾¥é¥×¥é¥·¥¢¥ó¥Ô¥é¥ß¥Ã¥É¤òÍøÍѤ·¤¿JPEG¤Ë´ð¤Å¤¯²òÁüÅÙÊÑ´¹Ê»ÍÑ·¿É乿²½Êý¼°
Ãø¼Ô *ÇÏ¾ì ¸­¹À, ÌÚ¼ À¿Áï (¿ÀÆàÀ²ÊÂç³Ø ¾ðÊó³ØÉô ¾ðÊ󹩳زÊ)
Pagepp. 372 - 377
Keyword JPEG, ¥é¥×¥é¥·¥¢¥ó¥Ô¥é¥ß¥Ã¥É

Bd2-1-2
Âê̾À°¿ôÀºÅÙDCT¤òÍѤ¤¤¿ÎΰèÆâ²èÁÇÃͤÎÊäÀµ¤Ë¤è¤ëǤ°Õ·Á¾õÉ乿²½
Ãø¼Ô *Èõ¸ý ͺÂÀ, ¸Å²ì Í´°ìϺ (µ×Î±ÊÆ¹©¶È¹âÅùÀìÌç³Ø¹»Àì¹¶²Ê), ¹õÌÚ ¾Í¸÷ (µ×Î±ÊÆ¹©¶È¹âÅùÀìÌç³Ø¹»À©¸æ¾ðÊ󹩳زÊ)
Pagepp. 378 - 382
Keyword Ǥ°Õ·Á¾õÉ乿²½, ¥Ñ¥Ç¥£¥ó¥°Ë¡, H.264/AVC
AbstractǤ°Õ·Á¾õÉ乿²½¤Ï¥ª¥Ö¥¸¥§¥¯¥Èñ°Ì¤ÇÉ乿²½¤ò¹Ô¤¦ºÝ¤ËÍѤ¤¤é¤ì¤ëµ»½Ñ¤Ç¤¢¤ë¡£ Shen¤éµÚ¤Ó¸Å²ì¤é¤Ï¤½¤ì¤¾¤ì°Û¤Ê¤Ã¤¿Ç¤°Õ·Á¾õÉ乿²½Ë¡¤òÄ󰯤·¤Æ¤ª¤ê¡¢Á°¼Ô¤Ç¤ÏÎΰ賰²èÁÇÃͤòÊäÀµ¤·¡¢¸å¼Ô¤Ç¤ÏÎΰèÆâ²èÁÇÃͤòÊäÀµ¤¹¤ë¡£ ¤·¤«¤·¡¢¤³¤ì¤é¤Î¼êË¡¤Ï1¼¡¸µDCT¤ËÂФ¹¤ëÊäÀµË¡¤Ç¡¢²èÁü¤ËŬÍѤ¹¤ëºÝ¡¢¿åÊ¿¡¦¿âľÊý¸þ2²ó¤ÎÊÑ´¹¤òɬÍפȤ¹¤ë¡£ Ëܸ¦µæ¤Ç¤Ï¡¢¤³¤ì¤é¤Î¼êË¡¤ò2¼¡¸µ¤Ë³ÈÄ¥¤·¡¢Åý·×¥â¥Ç¥ë¤òÍѤ¤¤ÆÊÑ´¹·¸¿ô¤ÎÇÛÃÖ½ç¤òºÇŬ²½¤¹¤ëÊäÀµË¡¤Ë¤Ä¤¤¤Æ¤â¸¡Æ¤¤¹¤ë¡£ ¼Â¸³¤Î·ë²Ì¡¢Åý·×¥â¥Ç¥ë¤òÍѤ¤¤¿ÇÛÃÖË¡¤¬¡¢¥¸¥°¥¶¥°¥¹¥­¥ã¥ó½ç¤ËÈæ¤Ù¡¢¹â¤¤É乿²½¸úΨ¤ò¼¨¤·¤¿¡£

Bd2-1-3
Âê̾¿ä¬Éü¹æ½èÍý¤Ë¤è¤ëư²èÁü¤Î¹â¸úΨÉ乿²½¤Ë¤ª¤±¤ë°ì¸¡Æ¤
Ãø¼Ô *¾¾Ìî ͧÏÂ, ÂçÄÍ Âîŵ, Æ£ÅÄ ¸¼ (ÂçºåÅŵ¤ÄÌ¿®Âç³Ø Âç³Ø±¡¹©³Ø¸¦µæ²Ê)
Pagepp. 383 - 387
Keyword H.264, ¿ä¬Éü¹æ½èÍý
AbstractËܸ¦µæ¤Ç¤Ï¡¢Æ°²èÁüÉ乿²½¤Ë¤ª¤±¤ëÉü¹æ½èÍý¤Ç¤Î°µ½ÌÀ­Ç½¸þ¾å¤ò¿Þ¤ë¼êË¡¤È¤·¤Æ¡¢¿ä¬Éü¹æ½èÍý¤òÄ󰯤·¡¢H.264¤Ë¤ª¤±¤ë¤Î¥¤¥ó¥È¥éMB(¥Þ¥¯¥í¥Ö¥í¥Ã¥¯)¤ÎDCÀ®Ê¬¡¢¥¤¥ó¥¿¡¼MB¤Îư¤­¥Ù¥¯¥È¥ë¤ËŬÍѤ¹¤ë¤³¤È¤Ç¡¢¤½¤ÎÍ­¸úÀ­¤ò¸¡Æ¤¤¹¤ë¡£


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Æü»þ: 2009ǯ4·î21Æü(²Ð) 10:45-12:00
ºÂĹ: Ãæ³À ½ß (Ë̸«¹©¶ÈÂç³Ø ¾ðÊó¥·¥¹¥Æ¥à¹©³Ø²Ê)

Bd2-2-1
Âê̾¥í¥Ü¥Ã¥È¥Ó¥¸¥ç¥ó¡¦¥Í¥Ã¥È¥ï¡¼¥¯¤Î¤¿¤á¤Îµ¡Ç½Åª³¬ÁØÉ乿²½
Ãø¼Ô Åĸý ½¨¼ù, *¹â¶¶ Ãξ­, ´ä¶¶ À¯¹¨ (Ĺ²¬µ»½Ñ²Ê³ØÂç³Ø¹©³ØÉôÅŵ¤·Ï), ÌÚ¼ ůÌé (Ĺ²¬µ»½Ñ²Ê³ØÂç³Ø¹©³ØÉô¥·¥¹¥Æ¥à°ÂÁ´·Ï)
Pagepp. 388 - 391
Keyword É乿²½, ¥Ó¥¸¥ç¥ó, ư¤­
AbstractÊ£¿ô¤Îõºº¥í¥Ü¥Ã¥È¤È¿Í¤¬¥Í¥Ã¥È¥ï¡¼¥¯¤ò²ð¤·¤ÆÏ¢·Èõºº¤ò¹Ô¤¦¥í¥Ü¥Ã¥È¥Ó¥¸¥ç¥ó¡¦¥Í¥Ã¥È¥ï¡¼¥¯¤Ë¤ª¤¤¤Æ¡¢ÄÌ¿®Ï©¤Î¸Â¤é¤ì¤¿ÅÁÁ÷ÍÆÎ̤òÍ­¸ú³èÍѤǤ­¤ëµ¡Ç½Åª³¬ÁØÉ乿²½¤òÄ󰯤¹¤ë¡£Ê£¿ô¤Îõºº¥í¥Ü¥Ã¥È¤«¤éÆÀ¤é¤ì¤¿±ÇÁü¤¬¡¢¾ï»þ¡¢¥ê¥â¡¼¥È¥í¥Ü¥Ã¥È¤ËÅÁÁ÷¤µ¤ì¡¢³ÆÃµºº¥í¥Ü¥Ã¥È¤Î¼«¸Ê°ÌÃÖ¤¬¥â¥Ë¥¿¤µ¤ì¤ë¡£¤³¤ÎºÝ¡¢¤³¤Î¼«¸Ê°ÌÃÖ¿äÄê¤È¤¤¤¦¡Öµ¡Ç½¡×¤Ë¡¢É¬Í׺Ǿ®¸Â¤Î¾ðÊó¤Î¤ß¤ò´ðËܳ¬ÁؤȤ·¤ÆÅÁÁ÷¤¹¤ë¤³¤È¤Ç¡¢Á´ÂΤΥǡ¼¥¿ÅÁÁ÷Î̤òºï¸º¤¹¤ë¡£¤Þ¤¿¡¢É¬Íפ˱þ¤¸¤Æ¿Í¤¬±ÇÁü¤ò±ÜÍ÷¤¹¤ëºÝ¤Ï¡¢³ÈÄ¥³¬ÁؤΤߤòÄÌ¿®¤¹¤ë¤³¤È¤Ç¸½¾ì±ÇÁü¤ò»ëǧ¤Ç¤­¤ë¡£JPEG 2000¤ÎÍ×Áǵ»½Ñ¤òÀ®Ê¬Ê¬²ò¤ËÍѤ¤¡¢´ðËܳ¬Áؤ˴ޤá¤ë¤Ù¤­À®Ê¬¤ò¼Â¸³Åª¤Ë·èÄꤷ¡¢¥Ç¡¼¥¿ÅÁÁ÷Î̤ÎÄ㸺¸ú²Ì¤ò³Îǧ¤¹¤ë¡£

Bd2-2-2
Âê̾¶è´Ö·×»»¤òÍѤ¤¤¿º®¹ç¥¬¥¦¥¹Ê¬ÉÛ¥â¥Ç¥ë¤Ë´ð¤Å¤¯¥¯¥é¥¹È½Ê̤ÎDSP/FPGA¼ÂÁõ
Ãø¼Ô *ÅÏÊÕ ½¨Åµ, ¼¾¾ Àµ¸ã, µÆÃÓ µ×Ï (¿·³ãÂç³Ø ¹©³ØÉô Åŵ¤ÅŻҹ©³Ø²Ê)
Pagepp. 392 - 397
Keyword º®¹ç¥¬¥¦¥¹Ê¬ÉÛ, ¥Ù¥¤¥º·èÄê, DSP, FPGA, ²èÁü½èÍý
Abstract¥Ñ¥¿¡¼¥ó¼±Ê̤˴ؤ¹¤ëµ»½Ñ¤Ï¹­¤¯¸¦µæ¤µ¤ì¤Æ¤¤¤ë¡¥±þÍÑʬÌî¤Ï°åÎŤäËɺҤʤÉ¿´ô¤Ë¤ï¤¿¤ê¡¤¹âÅ٤ʽèÍý¤Î¼«Æ°²½¤ËÌòΩ¤Ã¤Æ¤¤¤ë¡¥Ãæ¤Ç¤âº®¹ç¥¬¥¦¥¹Ê¬ÉÛ¥â¥Ç¥ë¤òÍѤ¤¤¿¼êË¡¤¬ÃíÌܤµ¤ì¤Æ¤ª¤ê¡¤¥¬¥¦¥·¥¢¥ó¥Í¥Ã¥È¥ï¡¼¥¯¤ò¤Ï¤¸¤á¤È¤¹¤ë¿¤¯¤Î¸¦µæ¤¬¤Ê¤µ¤ì¤Æ¤¤¤ë¡¥¤·¤«¤·º®¹ç¥¬¥¦¥¹Ê¬ÉÛ¥â¥Ç¥ë¤Ï»Ø¿ô±é»»Åù¤ò´Þ¤ß·×»»¥³¥¹¥È¤¬¹â¤¤½èÍý¤Ç¤¢¤ë¡¥·×»»¥³¥¹¥È¤¬¹â¤¤¾ì¹ç¡¤¥Ð¥Ã¥Æ¥ê¤Ç¶îư¤µ¤ì¤ë¤è¤¦¤ÊÁõÃ֤ؤÎÁȹþ¤ß¤¬º¤Æñ¤È¤Ê¤ë¡¥¤½¤³¤ÇÉ®¼Ô¤é¤Ï¡¤º®¹ç¥¬¥¦¥¹Ê¬ÉÛ¥â¥Ç¥ë¤Î·×»»¥³¥¹¥È¤òºï¸º¤¹¤ë¤³¤È¤¬²Äǽ¤È¤Ê¤ë¶è´Ö·×»»Ë¡¤òÄ󰯤·¤¿¡¥Ëܸ¦µæ¤Ç¤Ï¶è´Ö·×»»Ë¡¤òDSP¤ª¤è¤ÓFPGA¤Ø¤½¤ì¤¾¤ì¼ÂÁõ¤·¡¤·×»»¥³¥¹¥È¤ª¤è¤Ó²óÏ©ÌÌÀѤòɾ²Á¤¹¤ë¤³¤È¤òÌÜŪ¤È¤·ÍÍ¡¹¤Ê¥×¥é¥Ã¥È¥Û¡¼¥à¤Ç¤ÎÍ­¸úÀ­¤ò³Îǧ¤¹¤ë¡¥

Bd2-2-3
Âê̾¥À¥¯¥ÈÆâ¤Î²»¾ì¤ò¹Íθ¤·¤¿¥Þ¥ë¥Á¥Á¥ã¥Í¥ëANC ¥·¥¹¥Æ¥à¤Î¹½ÃÛ
Ãø¼Ô *¿û¸¶ ľ»Ö, °¤Éô Àµ±Ñ, ÀîËô À¯À¬ (ÅìËÌÂç³Ø Âç³Ø±¡¹©³Ø¸¦µæ²Ê ÅŻҹ©³ØÀì¹¶)
Pagepp. 398 - 403
Keyword ¥¢¥¯¥Æ¥£¥Ö¥Î¥¤¥º¥³¥ó¥È¥í¡¼¥ë, ¥Þ¥ë¥Á¥Á¥ã¥Í¥ë, ¥À¥¯¥È, ²»¶Á¥Õ¥£¡¼¥É¥Ð¥Ã¥¯, ÄêºßÇÈ
AbstractËܸ¦µæ¤Ç¤Ï¡¤±ö²½¥Ó¥Ë¥ëÀ½¥Ñ¥¤¥×¤òÍѤ¤¤Æ¥À¥¯¥È¤Î¥Þ¥ë¥Á¥Á¥ã¥Í¥ë¥¢¥¯¥Æ¥£¥Ö¥Î¥¤¥º¥³¥ó¥È¥í¡¼¥ë(ANC) ¥·¥¹¥Æ¥à¤ò¹½ÃÛ¤¹¤ë¡¥¹½ÃÛ¤¹¤ëANC ¥·¥¹¥Æ¥à¤Ç¤Ï¡¤¥À¥¯¥ÈÆâ¤Î²»¾ì¤Ë±Æ¶Á¤òÍ¿¤¨¤ë²»¶Á¥Õ¥£¡¼¥É¥Ð¥Ã¥¯¤ÈÄêºßÇȤò¹Íθ¤·¤Æ¥¹¥Ô¡¼¥«¤È¥Þ¥¤¥¯¥í¥Û¥ó¤òÇÛÃÖ¤¹¤ë¡¥¤µ¤é¤Ë¡¤DSP ¤ËŬ±þ¥¢¥ë¥´¥ê¥º¥à¤ò¼ÂÁõ¤·¤Æ¥À¥¯¥ÈÆâ¤ÎÁû²»¤òÄ㸺¤µ¤»¤ë¡¥¼Â¸³¤Î·ë²Ì¡¤¥·¥ó¥°¥ë¥Á¥ã¥Í¥ë¤ÎANC ¥·¥¹¥Æ¥à¤Ë¤ª¤¤¤Æ¡¤ºÇÂç¤Ç9.42dB Áû²»¤òÄ㸺¤Ç¤­¤¿¤Î¤ËÂФ·¡¤¥Þ¥ë¥Á¥Á¥ã¥Í¥ë¤ÎANC ¥·¥¹¥Æ¥à¤Ç¤Ï¡¤ºÇÂç¤Ç12.7 dB Áû²»¤òÄ㸺¤Ç¤­¤¿¡¥¤µ¤é¤Ë¡¤¥Þ¥ë¥Á¥Á¥ã¥Í¥ëANC ¤Ë¤è¤ê¡¤¥·¥ó¥°¥ë¥Á¥ã¥Í¥ëANC ¤Ë¤ª¤¤¤Æ¸º¿êÎ̤¬¾®¤µ¤¤ÂÓ°è¤Î¾Ã²»À­Ç½¤ò²þÁ±¤Ç¤­¤¿¡¥


¥»¥Ã¥·¥ç¥ó Bd2-3 ¾·ÂÔ¹Ö±éII
Æü»þ: 2009ǯ4·î21Æü(²Ð) 13:45-14:45
ºÂĹ: ÅÏî´ ½¤ (Âó¿£Âç³Ø)

Bd2-3-1
Âê̾(¾·ÂÔ) ¿ÍÂÎÄÌ¿®
Ãø¼Ô *Á°»³ Íø¹¬ (Âó¿£Âç³Ø)
Pagepp. 404 - 407
Keyword ¿ÍÂÎÄÌ¿®
Abstract¿ÍÂÎÄÌ¿®¤Ë´Ø¤¹¤ë¸¦µæÆ°¸þ¤Ê¤é¤Ó¤ËÉ®¼Ô¤é¤¬¸¡Æ¤¤·¤¿¿ÍÂÎÄÌ¿®¤Î¹â®²½¤Ë¤Ä¤¤¤ÆÀâÌÀ¤¹¤ë¡£


¥»¥Ã¥·¥ç¥ó Bd2-4 ²èÁü½èÍý
Æü»þ: 2009ǯ4·î21Æü(²Ð) 15:15-16:30
ºÂĹ: ÃæËÜ ¾»Í³ (¹­ÅçÂç³Ø Âç³Ø±¡¹©³Ø¸¦µæ²Ê Ê£»¨¥·¥¹¥Æ¥à¹©³ØÀì¹¶ Ê£»¨¥·¥¹¥Æ¥àÀ©¸æÏÀ¸¦µæ¼¼)

Bd2-4-1
Âê̾²èÁü¥ì¥¸¥¹¥È¥ì¡¼¥·¥ç¥ó¥¢¥ë¥´¥ê¥º¥à¤ÎÀºÅÙɾ²Á¤Î¤¿¤á¤Î²èÁüÀ¸À®¤Ë´Ø¤¹¤ë¸¡Æ¤
Ãø¼Ô *ÎëÌÚ °¼»Ò (ÅìËÌÂç³ØÂç³Ø±¡¾ðÊó²Ê³Ø¸¦µæ²Ê), ĹÅè À» (»³Éð), °ËÆ£ ¹¯°ì, ÀÄÌÚ ¹§Ê¸ (ÅìËÌÂç³ØÂç³Ø±¡¾ðÊó²Ê³Ø¸¦µæ²Ê)
Pagepp. 408 - 413
Keyword ¥ì¥¸¥¹¥È¥ì¡¼¥·¥ç¥ó, ²èÁü¥Þ¥Ã¥Á¥ó¥°, ÀºÅÙɾ²Á, ¥Þ¥ó¥Ç¥ë¥Ö¥í¡¼, °ÌÁê¸ÂÄêÁê´ØË¡
Abstract2Ëç¤Î²èÁü¤òÀµ³Î¤Ë°ÌÃÖ¹ç¤ï¤»¤¹¤ë²èÁü¥ì¥¸¥¹¥È¥ì¡¼¥·¥ç¥ó¤Ï¡¤²èÁü¥»¥ó¥·¥ó¥°¡¤²èÁü¡¦±ÇÁü½èÍý¡¤¥³¥ó¥Ô¥å¡¼¥¿¥Ó¥¸¥ç¥ó¤Ê¤É¤µ¤Þ¤¶¤Þ¤ÊʬÌî¤Ë¤ª¤¤¤Æ¡¤¤â¤Ã¤È¤â½ÅÍפʴðËܵ»½Ñ¤Î1¤Ä¤Ç¤¢¤ë¡¥²èÁü¥ì¥¸¥¹¥È¥ì¡¼¥·¥ç¥ó¥¢¥ë¥´¥ê¥º¥à¤ÎÀºÅÙ¤òɾ²Á¤¹¤ë¤¿¤á¤Ë¤Ï¡¤ÊÑ·Á¥Ñ¥é¥á¡¼¥¿¤¬´ûÃΤǤ¢¤ë²èÁü¤òÍѤ¤¤ëɬÍפ¬¤¢¤ë¡¥¥«¥á¥é¤Ç»£±Æ¤·¤¿²èÁü¤Ë¤Ï¿Í¼ê¤Ë¤è¤ë¸íº¹¤¬´Þ¤Þ¤ì¤¿¤ê¡¤·×»»µ¡¾å¤ÇÀ¸À®¤·¤¿²èÁü¤Ë¤ÏÊä´Ö¤¬É¬ÍפȤ·¤¿¤ê¤¹¤ë¤¿¤á¡¤¥¢¥ë¥´¥ê¥º¥à¤ÎÀºÅÙ¤òÀµ³Î¤Ëɾ²Á¤¹¤ë¤³¤È¤Ïº¤Æñ¤Ç¤¢¤ë¡¥¤³¤ì¤ËÂФ·¡¤ËÜÏÀʸ¤Ç¤Ï¡¤¥Õ¥é¥¯¥¿¥ë¤Î1¤Ä¤Ç¤¢¤ë¥Þ¥ó¥Ç¥ë¥Ö¥í¡¼½¸¹ç¤òÍøÍѤ·¤¿ÀºÅÙɾ²Á¼êË¡¤òÄ󰯤¹¤ë¤È¤È¤â¤Ë¡¤¼Â¸³¤òÄ̤·¤ÆÄ󰯼êË¡¤ÎÍ­¸úÀ­¤ò¼¨¤¹¡¥

Bd2-4-2
Âê̾»õ²Ê¥Ñ¥Î¥é¥ÞXÀþ¼Ì¿¿¤Ë¤ª¤±¤ëÀг¥²½Îΰè¤Î¸¡½Ð
Ãø¼Ô *¿·¾± ¾¡Ç·, Åï°Â ¼Â¼£, ²ÖÅÄ ÎÉ»Ò (´ØÀ¾Âç³Ø), ÀõÌî ¹¸ (¹­ÅçÂç³Ø), Åĸý ÌÀ (¾¾ËÜ»õ²ÊÂç³Ø)
Pagepp. 414 - 419
Keyword »õ²Ê¥Ñ¥Î¥é¥ÞXÀþ¼Ì¿¿, ·ì´ÉÉÂ, Àг¥²½, ¼«Æ°Ãê½Ð, ¥Õ¥¡¥¸¥£¥¨¥Ã¥¸¶¯Ä´
Abstract»õ²Ê¼£ÎŤΤ¿¤á¤Ë¤·¤Ð¤·¤Ð»õ²Ê¥Ñ¥Î¥é¥ÞXÀþ¼Ì¿¿¤¬»£±Æ¤µ¤ì¤ë¡¥¤³¤Î¼Ì¿¿¤Ë¤Ï¡¤¸ý¹ÐÆâ¤ËÎÙÀܤ·¤Æ¤¤¤ëðôư̮¤¬»£±Æ¤µ¤ì¤ë¤³¤È¤¬¤¢¤ê¡¤¤½¤Îðôư̮¤Ë¤ÏÀг¥²½¸½¾Ý¤¬´Ñ»¡¤µ¤ì¤ë¾ì¹ç¤¬Â¸ºß¤¹¤ë¡¥¤³¤ÎÀг¥²½¤Ï·ì´ÉɤȴØÏ¢¤¬¤¢¤ë¤È¤µ¤ì¤Æ¤¤¤ë¡¥¤³¤Î»õ²Ê¥Ñ¥Î¥é¥ÞXÀþ¼Ì¿¿¤òÍøÍѤ·¤Æ¡¤·Ûư̮¤ÎÀг¥²½¤Î̵ͭ¤ò»õ²Ê¤ÇȽÃǤ¹¤ë¤³¤È¤Ç¡¤°å²Ê¤Ø¤Î¼õ¿Ç¤òÂ¥¤»¤ì¤Ð¡¤·ì´ÉɤεޤÊȯ¾É¤¬Ì¤Á³¤ËËɤ²¤ë¤È´üÂÔ¤µ¤ì¤ë¡¥ËÜÏÀʸ¤Ç¤Ï¡¤»õ²Ê¥Ñ¥Î¥é¥ÞXÀþ¼Ì¿¿Á´ÂΤ«¤éðôư̮Àг¥²½Îΰè¤ò¼«Æ°¸¡½Ð¤¹¤ë¼êË¡¤Ë¤Ä¤¤¤ÆÄ󰯤¹¤ë¡¥ÆÃ¤Ë¡¤¼Ì¿¿¤«¤é³Ü¹üµÚ¤ÓÀÔ¿ñ¤ÎÉô°Ì¤ò½üµî¤¹¤ë¼êË¡¤òÄ󰯤·¡¤Ãµº÷ÈϰϤò¸ÂÄꤷ¤Æ¤¤¤ë¡¥¤³¤ì¤È½¾ÍèË¡¤òÁȤ߹ç¤ï¤»¤ë¤³¤È¤Ë¤è¤ê¡¤½¾ÍèË¡¤È¤Û¤ÜƱÅù¤ÎÀ­Ç½¤ò»ý¤Ä¡¤¼Ì¿¿Á´ÂΤ«¤é¤Î¼«Æ°Ãê½Ð¤ò²Äǽ¤È¤·¤Æ¤¤¤ë¡¥

Bd2-4-3
Âê̾¥Õ¥£¥ë¥à±ÇÁü¤Ë¤ª¤±¤ëÅê±Æ½èÍý¤òÍѤ¤¤¿¥¹¥¯¥é¥Ã¥Á¤Î¸¡½Ð¤È½üµî
Ãø¼Ô *É÷´Ö ÂÙ¹¨, °¤Éô Àµ±Ñ, ÀîËô À¯À¬ (ÅìËÌÂç³Ø Âç³Ø±¡¹©³Ø¸¦µæ²Ê ÅŻҹ©³ØÀì¹¶)
Pagepp. 420 - 425
Keyword ²èÁü½èÍý, ±ÇÁü½¤Éü, ¥Õ¥£¥ë¥à±ÇÁü, ¥¹¥¯¥é¥Ã¥Á¸¡½Ð¡¦½üµî, Åê±Æ½èÍý
AbstractËܹƤǤϡ¤¥Õ¥£¥ë¥à±ÇÁü¤Ë´Þ¤Þ¤ì¤ëÎô²½¤Ç¤¢¤ë¥¹¥¯¥é¥Ã¥Á¤ò¸¡½Ð¤ª¤è¤Ó½üµî¤¹¤ë¼êË¡¤òÄ󰯤¹¤ë¡¥¥¹¥¯¥é¥Ã¥Á½üµî»þ¤Ë¤ª¤±¤ë±ÇÁü¾ðÊó¤ÎÎô²½¤òÍÞ¤¨¤ë¤¿¤á¤Ë¤Ï¡¤¤Ï¤¸¤á¤Ë¥¹¥¯¥é¥Ã¥Á¤ÎȯÀ¸°ÌÃÖ¤ò¸¡½Ð¤·¤Æ½èÍýÎΰè¤ò¸ÂÄꤹ¤ëɬÍפ¬¤¢¤ë¡¥Ä󰯼êË¡¤Ç¤Ï¡¤¥¹¥¯¥é¥Ã¥Á¤ò¸¡½Ð¤¹¤ë¤¿¤á¤Ë¡¤½èÍýÂоݤΥե졼¥à¤ò¿âľÊý¸þ¤ËÏ¢·ë¤·¡¤¤³¤ì¤ËÂФ·¤Æ¿âľÊý¸þ¤ÎÅê±Æ½èÍý¤òŬÍѤ¹¤ë¡¥¤³¤³¤Ç¡¤¥â¥ë¥Õ¥©¥í¥¸¡¼±é»»¤òÍѤ¤¤Æµ±ÅÙÃͤαúÆÌ¤ò¸¡½Ð¤¹¤ë¡¥¼¡¤Ë¡¤¸¡½Ð¤µ¤ì¤¿¥¹¥¯¥é¥Ã¥Á¤ò½üµî¤¹¤ë¤¿¤á¤Ë¡¤Åê±Æ½èÍý¤È¥á¥Ç¥£¥¢¥ó¥Õ¥£¥ë¥¿¤òÍѤ¤¤Æ¥¹¥¯¥é¥Ã¥ÁÎΰè¤Ë¤ª¤±¤ëµ±ÅÙÃͤαúÆÌ¤ò½èÍý¤¹¤ë¡¥¥¹¥¯¥é¥Ã¥Á¤ò´Þ¤à¼ÂºÝ¤Î¥Õ¥£¥ë¥à±ÇÁü¤òÄ󰯼êË¡¤Ë¤è¤ê½èÍý¤·¤¿·ë²Ì¡¤½¤ÉüÉôʬ¤ËÉÔ¼«Á³¤Ê¤Ü¤±¤Ê¤É¤ÎÉûºîÍѤòÀ¸¤à¤³¤È¤Ê¤¯¥¹¥¯¥é¥Ã¥Á¤ò½üµî¤Ç¤­¤ë¤³¤È¤ò³Îǧ¤Ç¤­¤¿¡¥


¥»¥Ã¥·¥ç¥ó C2-1 ¥×¥í¥»¥Ã¥µµ»½Ñ
Æü»þ: 2009ǯ4·î21Æü(²Ð) 9:00-10:15
ºÂĹ: ºä¼ç ·½»Ë (ÂçºåÂç³ØÂç³Ø±¡ ¾ðÊó²Ê³Ø¸¦µæ²Ê ¾ðÊó¥·¥¹¥Æ¥à¹©³ØÀì¹¶)

C2-1-1
Âê̾¥Ç¡¼¥¿¥Õ¥í¡¼¥°¥é¥Õ¤Ë´ð¤Å¤¯¥Ð¥¤¥Ñ¥¹¥¢¡¼¥­¥Æ¥¯¥Á¥ã¸þ¤±¥³¡¼¥ÉºÇŬ²½ÊýË¡
Ãø¼Ô ¾±»Ê ½Ó´², ÅÄ ¶â (Åìµþ¹©¶ÈÂç³Ø Áí¹çÍý¹©³Ø¸¦µæ²Ê), »°¹¥ ·òʸ (ÅìµþÂç³Ø Âç³Ø±¡ ¾ðÊóÍý¹©³Ø·Ï¸¦µæ²Ê), ¿ùÌî Īɧ, *§Éð ÂîÌé (Åìµþ¹©¶ÈÂç³Ø Áí¹çÍý¹©³Ø¸¦µæ²Ê)
Pagepp. 426 - 431
Keyword Äã¾ÃÈñÅÅÎÏ, ¥¹¥±¥¸¥å¡¼¥ê¥ó¥°, ¥Ð¥¤¥Ñ¥¹¥¢¡¼¥­¥Æ¥¯¥Á¥ã, ¥Ç¡¼¥¿¥Õ¥í¡¼¥°¥é¥Õ
Abstract¶áǯ¡¤ÅÅÎϾÃÈñ¤Î¹â¤¤¥ì¥¸¥¹¥¿¥¢¥¯¥»¥¹¤ò¡¤¥Ð¥¤¥Ñ¥¹¤Ë¤è¤ë¥Õ¥©¥ï¡¼¥Ç¥£¥ó¥°¤Ç²óÈò¤·¡¤ÄãÅÅÎϲ½¤ò¿Þ¤ë¥Ð¥¤¥Ñ¥¹¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤¬Ä󰯤µ¤ì¤Æ¤¤¤ë¡¥¤·¤«¤·¡¤¥Ð¥¤¥Ñ¥¹¾å¤Î¥Ç¡¼¥¿¤Ï¿ô¥µ¥¤¥¯¥ë¤ÇÇË´þ¤µ¤ì¤ë¤¿¤á¡¤¸µ¤Î¥×¥í¥°¥é¥à¤Î·×»»½ç½ø¤Ç¤Ï¥Ð¥¤¥Ñ¥¹¤òÍ­¸úÍøÍѤǤ­¤Ê¤¤¾ì¹ç¤¬¤¢¤ë¡¥ ¤½¤³¤Ç¡¤Ëܸ¦µæ¤Ç¤Ï¼Â¹Ô¥³¡¼¥É¤Ë¤ª¤±¤ë¥Ç¡¼¥¿¤Î°Í¸´Ø·¸¤ò¼¨¤¹¥°¥é¥Õ¤Ë´ð¤Å¤­¡¤¥Ð¥¤¥Ñ¥¹¤òÀѶËŪ¤Ë³èÍѤǤ­¤ë¥¹¥±¥¸¥å¡¼¥ê¥ó¥°ÊýË¡¤Ë¤Ä¤¤¤ÆÄ󰯤¹¤ë¡¥¤³¤ÎÊýË¡¤Ç¤Ï¡¤¥°¥é¥Õ¤¬Â礭¤¯¥Ð¥¤¥Ñ¥¹¤Î»ÈÍѤ¬¤Ç¤­¤Ê¤¤Ì¿Î᤬¤¢¤ë¾ì¹ç¤Ë¤ª¤¤¤Æ¤â¡¤¥ì¥¸¥¹¥¿¥¢¥¯¥»¥¹¤ò¤¹¤ëÌ¿Îá¿ô¤òºÇ¾®¸Â¤ËÍÞ¤¨¤ë¤³¤È¤ÇºÇŬ²½¤ò¿Þ¤Ã¤Æ¤¤¤ë¡¥Äó°ÆÊýË¡¤òFFT¤äViterbi¥¢¥ë¥´¥ê¥º¥à¤ËŬÍѤ·¤¿·ë²Ì¡¤¥Ð¥¤¥Ñ¥¹¤Î»ÈÍѸúΨ¤¬¸þ¾å¤·¤Æ¤¤¤ë¤³¤È¤«¤é¡¤Äó°ÆÊýË¡¤ÎÍ­¸úÀ­¤ò¼¨¤·¤Æ¤¤¤ë¡¥

C2-1-2
Âê̾Safe Clocking Based Datapath Synthesis for the Setup and Hold Timing Constraints
Ãø¼Ô *Keisuke Inoue, Mineo Kaneko, Tsuyoshi Iwagaki (Japan Advanced Institute of Science and Technology)
Pagepp. 432 - 437
Keyword datapath synthesis, delay variation, ordered clocking, integer linear formulation
AbstractIt is known that Backward-Data-Direction (BDD) clocking is one of methods to guarantee the hold timing constraint. BDD clocking is a relative order relations between the arrivals of control signals at a pair of registers. In this paper, in addition to BDD clocking, we introduce Forward-Data-Direction (FDD) clocking for the setup timing constraint, and discuss the synthesis of datapath which has appreciate order relations of the arrivals of control signals between registers (ordered clocking). First, we formulate the problem as a minimum register assignment problem for datapaths which has a proper ordered clocking, and then prove that the problem is NP-hard. After that, we propose an ILP formulation and show the experimental results for some benchmark circuits.

C2-1-3
Âê̾°ìÈ̲½¥ì¥¸¥¹¥¿Ê¬»¶¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤òÂоݤȤ·¤¿¥Õ¥í¥¢¥×¥é¥ó»Ø¸þ¹â°Ì¹çÀ®¼êË¡
Ãø¼Ô *ÂçÃÒ µ±, ¸ÍÀî ˾, Ìøß· À¯À¸, ÂçÉí äÉ× (Áá°ðÅÄÂç³Ø)
Pagepp. 438 - 443
Keyword ¹â°Ì¹çÀ®, ¥Õ¥í¥¢¥×¥é¥ó, ÇÛÀþÃÙ±ä
AbstractLSIÀß·×¥×¥í¥»¥¹¤ÎÈùºÙ²½¤Ëȼ¤¤¡¤ÇÛÀþÃÙ±ä¤Î³ä¹ç¤¬¥²¡¼¥ÈÃÙ±ä¤ËÂФ·ÁêÂÐŪ¤ËÁý²Ã¤·¤Æ¤¤¤ë¡¥¥ì¥¸¥¹¥¿Ê¬»¶·¿¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤òÍѤ¤¤ë¤³¤È¤Ç¡¤¥ì¥¸¥¹¥¿¡¦±é»»´ï´Ö¤ÎÇÛÀþÃÙ±ä¤òºï¸º¤Ç¤­¡¤ÇÛÀþÃÙ±ä¤Ë¤è¤ëÀ­Ç½Äã²¼¤òËɤ°¤³¤È¤¬²Äǽ¤È¤Ê¤ë¡¥¤·¤«¤·¤Ê¤¬¤é¡¤À©¸æ¿®¹æÃÙ±ä¤Ë¤è¤ë²óÏ©À­Ç½Äã²¼¡¤¥ì¥¸¥¹¥¿¿ô¤ÎÁýÂç¤È¤¤¤¦ÌäÂêÅÀ¤¬À¸¤¸¤ë¡¥¤³¤ÎÌäÂê¤ò²ò·è¤¹¤ë¤¿¤á¡¤ËܹƤǤϥ쥸¥¹¥¿Ê¬»¶·¿¤ò¥Ù¡¼¥¹¤È¤·¡¤¥ì¥¸¥¹¥¿¤Î¶¦Í­²½¡¤À©¸æ²óÏ©¤òʬ»¶²½¤·¤¿°ìÈ̥쥸¥¹¥¿Ê¬»¶·¿¥¢¡¼¥­¥Æ¥¯¥Á¥ã¤òÂоݤȤ·¡¤¤«¤Ä¥Õ¥í¥¢¥×¥é¥ó¾ðÊó¤ò¥Õ¥£¡¼¥É¥Ð¥Ã¥¯¤¹¤ë¹â°Ì¹çÀ®¼êË¡¤òÄ󰯤¹¤ë¡¥·×»»µ¡¼Â¸³¤Ë¤è¤ê½¾Íè¼êË¡¤ÈƱÅù¤Î²óÏ©À­Ç½¤ò°Ý»ý¤·¡¤ºÇÂç20.1%¤ÎÌÌÀѺ︺¤ò³Îǧ¤·¤¿¡¥


¥»¥Ã¥·¥ç¥ó C2-2 ¤Ð¤é¤Ä¤­¡¦¿®ÍêÀ­
Æü»þ: 2009ǯ4·î21Æü(²Ð) 10:45-12:00
ºÂĹ: ¾¾²¬ ±Ñ½Ó (ÉÙ»ÎÄÌ¥Þ¥¤¥¯¥í¥¨¥ì¥¯¥È¥í¥Ë¥¯¥¹)

C2-2-1
Âê̾À½Â¤¤Ð¤é¤Ä¤­¤Ëµ¯°ø¤¹¤ë¥ê¡¼¥¯ÅÅήÊÑÆ°¤ÎÄ㸺¥¢¥×¥í¡¼¥Á
Ãø¼Ô *º´Êý ¹ä (ÉÙ»ÎÄÌ¥Þ¥¤¥¯¥í¥¨¥ì¥¯¥È¥í¥Ë¥¯¥¹(³ô)), ¹õÀî ÆØ (»°ÍÎȾƳÂÎ(³ô)), ±ü¼ δ¾» ((³ô)ȾƳÂÎÍý¹©³Ø¸¦µæ¥»¥ó¥¿¡¼), ÃæÅç ±ÑÀÆ (NEC¥¨¥ì¥¯¥È¥í¥Ë¥¯¥¹(³ô)), ÁýÅÄ ¹°À¸ ((³ô)¥ë¥Í¥µ¥¹¥Æ¥¯¥Î¥í¥¸), º´Æ£ ¹â»Ë (Åìµþ¹©¶ÈÂç³Ø), ¶¶ËÜ ¾»µ¹ (ÂçºåÂç³Ø), ˪²° ¹§ÂÀϺ, ¸ÅÀî ³îÍÎ ((³ô)¥¸¡¼¥À¥Ã¥È), ÅÄÃæ ÀµÏ (¥Ñ¥Ê¥½¥Ë¥Ã¥¯(³ô)), ¹âÆ£ ¹À»ñ (¥ê¥³¡¼(³ô)), ¶âËÜ ½Ó´ö ((³ô)¥ë¥Í¥µ¥¹¥Æ¥¯¥Î¥í¥¸)
Pagepp. 444 - 449
Keyword Äã¾ÃÈñÅÅÎÏ, ¤Ð¤é¤Ä¤­, ¥ê¡¼¥¯ÅÅή, Àß·×µ»½Ñ
Abstract¥ê¡¼¥¯ÅÅή¤ÏLSIÀ½Éʤξ¦ÉʲÁÃͤòÂ礭¤¯º¸±¦¤¹¤ë½ÅÍפʰø»Ò¤Ç¤¢¤ë¡£¥×¥í¥»¥¹¤Ð¤é¤Ä¤­¤Ë¤è¤ë¥ê¡¼¥¯ÅÅή¤Ð¤é¤Ä¤­¤Ï¡¢¥Á¥Ã¥×Ëè¤Ë¥ê¡¼¥¯ÅÅή¤¬°Û¤Ê¤ë·ë²Ì¤È¤Ê¤ê¡¢¥ê¡¼¥¯ÅÅή¤Ð¤é¤Ä¤­¤òÍÞ¤¨¤ë¤³¤È¤ÏLSI¤ÎÉʼÁ¤ò³ÎÊݤ¹¤ë¾å¤Ç½ÅÍפǤ¢¤ë¡£ËÜÏÀʸ¤Ç¤Ï¡¢¥×¥í¥»¥¹¤Ð¤é¤Ä¤­¤¬ÃÙ±ä¤È¥ê¡¼¥¯ÅÅή¤Ð¤é¤Ä¤­¤ØÍ¿¤¨¤ë±Æ¶Á¤ËÃåÌܤ¹¤ë¡£¤Ï¤¸¤á¤Ë¥×¥í¥»¥¹¤Ð¤é¤Ä¤­¤¬ÃÙ±ä¤È¥ê¡¼¥¯ÅÅή¤ØÍ¿¤¨¤ë±Æ¶Á¤òɾ²Á¤¹¤ë¤¿¤á¤Î²òÀϼ°¤òƳ½Ð¤·¡¢Ãٱ䤬°ìÄê¤Ç¤â¥ê¡¼¥¯ÅÅή¤Ð¤é¤Ä¤­¤¬ÊÑÆ°¤¹¤ë¾ì¹ç¤òµÄÏÀ¤·¡¢¥ê¡¼¥¯ÅÅή¤Ð¤é¤Ä¤­¤òÄ㸺¤¹¤ëÊýË¡¤òÄ󰯤¹¤ë¡£Ä󰯤¹¤ë¥ê¡¼¥¯ÅÅή¤Ð¤é¤Ä¤­Ä㸺ÊýË¡¤Ï¡¢¼Â¸³¤Ë¤è¤ê¡¢²¿¤â¹Íθ¤·¤Ê¤¤½¾Íè¤Î°ìÈÌÀ߷פÈÈæ³Ó¤·¤Æ¡¢Êâα¤Þ¤ê90%¤È¤·¤¿¾ì¹ç¤Î¥ê¡¼¥¯ÅÅήÃͤËÂФ·¤Æ50%¤ÎÄ㸺¸ú²Ì¤¬¤¢¤ë¤³¤È¤ò¼¨¤¹¡£

C2-2-2
Âê̾À½Â¤¸å¥¯¥í¥Ã¥¯Ä´À°¤Ë¤ª¤±¤ë¤Ð¤é¤Ä¤­¿äÄê¤Î°ì¼êË¡
Ãø¼Ô *¹âÅç ¹¯Íµ, »Ö´ô Âî¿® (Ë̶彣»ÔΩÂç³Ø ¹ñºÝ´Ä¶­¹©³ØÉô ¾ðÊó¥á¥Ç¥£¥¢¹©³Ø²Ê), °ðÌÚ ²í¿Í (¹­Åç»ÔΩÂç³Ø ¾ðÊó²Ê³Ø¸¦µæ²Ê), ÃæÂ¼ Í´°ì (NEC ¥·¥¹¥Æ¥àIP¥³¥¢¸¦µæ½ê)
Pagepp. 450 - 455
Keyword À½Â¤¸å¥¯¥í¥Ã¥¯Ä´À°, DTE, ¥Ñ¥¹¥Ç¥£¥ì¥¤¥Æ¥¹¥È, À½Â¤¤Ð¤é¤Ä¤­
AbstractÀ½Â¤¸å¤Ð¤é¤Ä¤­¤ÎÂнèË¡¤È¤·¤Æ¡¤¤Ð¤é¤Ä¤­Ãͤò´üÂÔÃͤǿäÄꤷ¡¤ ¤½¤Î¿äÄêÃͤòÍøÍѤ·¤Æ¡¤À½Â¤¸å¥¯¥í¥Ã¥¯Ä´À°¤ò¹Ô¤Ê¤¦¼êË¡¤òÄ󰯤¹¤ë¡¥ ËܼêË¡¤Ç¤Ï¡¤Ä´À°²óÏ©¤Ï¹â¡¹4¸Ä¤Ç¤¢¤ê¡¤³Æ²óÏ©¤Ç¤ÎÄ´À°Ãʳ¬¤â1Ãʤ·¤«Ìµ¤¤¤¿ ¤á¡¤ ¤½¤ÎÀ½Â¤¥³¥¹¥È¤ÏÈó¾ï¤Ë¾®¤µ¤¤¡¥ ¤Þ¤¿¡¤¤Ð¤é¤Ä¤­¤Î¬Äê¤Ë¤Ï1²ó¤Î¥Ñ¥¹¥Ç¥£¥ì¥¤¥Æ¥¹¥È¤Î»î¹Ô¤Î·ë²Ì¤À¤±¤òÍѤ¤ ¤ë¤¿¤á¡¤¥Æ¥¹¥È¥³¥¹¥È¤â¾®¤µ¤¯ÍÞ¤¨¤é¤ì¤ë¡¥ ¤½¤·¤Æ¡¤¥Æ¥¹¥ÈÂоݥѥ¹¤¬Á´¥Ñ¥¹¤Î1%¼å¤Î¾ì¹ç¤Ë¡¤ ´û¸¤Î¼êË¡¤ÈÈæ³Ó¤·¤Æ¡¤40%¤ÎÊâα¤Þ¤ê¸þ¾å¤ò¼Â¸³¤Ë¤è¤ê³Îǧ¤·¤¿¡¥

C2-2-3
Âê̾¹â¤¤SEU/SETÂÑÀ­¤ò»ý¤Ä¾ÊÌÌÀÑ¡¦ÄãÃÙ±äÆó½Å²½¥Õ¥ê¥Ã¥×¥Õ¥í¥Ã¥×
Ãø¼Ô *¸ÅÅÄ ½á (µþÅÔÂç³ØÂç³Ø±¡¾ðÊ󳨏¦µæ²Ê ÄÌ¿®¾ðÊó¥·¥¹¥Æ¥àÀì¹¶), ¾®ÎÓ ÏÂ½Ê (µþÅÔ¹©·ÝÁ¡°ÝÂç³ØÂç³Ø±¡¹©·Ý²Ê³Ø¸¦µæ²Ê ÅŻҥ·¥¹¥Æ¥à¹©³ØÀì¹¶), ¾®Ìî»û ½¨½Ó (µþÅÔÂç³ØÂç³Ø±¡¾ðÊ󳨏¦µæ²Ê ÄÌ¿®¾ðÊó¥·¥¹¥Æ¥àÀì¹¶)
Pagepp. 456 - 461
Keyword TMR, DMR, ¥½¥Õ¥È¥¨¥é¡¼


¥»¥Ã¥·¥ç¥ó C2-3 [As/Cʬ²Ê²ñ¹çƱÆÃÊÌ¥»¥Ã¥·¥ç¥ó] ¤Ð¤é¤Ä¤­²òÀÏ
Æü»þ: 2009ǯ4·î21Æü(²Ð) 13:30-14:45
ºÂĹ: ¹âÅç ¹¯Íµ (Ë̶彣»ÔΩÂç³Ø)

C2-3-1
Âê̾Àß·×½é´üÃʳ¬¤ÇÅŸ»Å۵¹ß²¼¤ò¸«ÀѤâ¤ë¤¿¤á¤Î²òÀϼ°
Ãø¼Ô *Âçë °ì¹¬ (»°ÍÎLSI¥Ç¥¶¥¤¥ó¡¦¥·¥¹¥Æ¥à¥½¥Õ¥È), ¹âÅè ͵»Ê, ¹õÀî ÆØ (»°ÍÎȾƳÂÎ)
Pagepp. 462 - 467
Keyword ÅŸ»ÇÛÀþÀß·×, ²òÀϼ°, IR-drop²òÀÏ, ¥ì¥¤¥¢¥¦¥ÈÀß·×
AbstractSoCÀ½Éʤò³«È¯¤¹¤ë¾å¤Ç¡¤ÁᤤÃʳ¬¤«¤é¡¤ÅŸ»ÇÛÀþ¤ÎÀ߷׻ؿˤò¸¡Æ¤¤¹¤ë¤³¤È¤Ï¡¤À½ÉÊÍø±×¿ä»»¤Î¤¿¤á¤Î¥Á¥Ã¥×Ž¥¥µ¥¤¥º¸«ÀѤꡤ¤è¤êºÇŬ¤ÊÅŸ»ÇÛÀþÀ߷ס¤¤ª¤è¤ÓʪÍýÀ߷פδü´Öû½Ì¤Î¤¿¤á¤Ë¡¤Èó¾ï¤Ë½ÅÍפǤ¢¤ë¡¥ËÜÏÀʸ¤Ç¤Ï¡¤SoCÀß·×½é´üÃʳ¬¤«¤éÅŸ»ÇÛÀþ¤ÎÀ߷׻ؿ˸¡Æ¤¤ò²Äǽ¤Ë¤¹¤ë¡¤ÀÅŪ¤Èµ¼»÷ưŪIR-drop¡ÊÅŸ»Å۵¹ß²¼¡Ë¤òµá¤á¤ë²òÀϼ°¤òÄ󼨤¹¤ë¡¥Á°¼Ô¤Ï¡¤ÅŸ»¥ê¥ó¥°¤Î½Ä²£¤ÎÅù²ÁÄñ¹³¡¤ÆâÉôÅŸ»¥°¥ê¥Ã¥É¤Î½Ä²£¤ÎÁíÏÂÅù²ÁÄñ¹³¡¤ÅŸ»¥Ñ¥Ã¥É¤«¤éÅŸ»¥ê¥ó¥°¤Þ¤Ç¤ÎÅù²ÁÄñ¹³¡¤¤½¤·¤ÆÊ¿¶Ñ¾ÃÈñÅÅÎϤ«¤é¥â¥Ç¥ê¥ó¥°¤µ¤ì¤ë¡¥¤Þ¤¿¸å¼Ô¤ÏÊ¿¶Ñ¾ÃÈñÅÅÎϤÎÂå¤ï¤ê¤Ë¡¤¤½¤Î¾ÃÈñÅÅÎϤÈÅù²Á¤Ë¤Ê¤ë²áÅÏŪ¥Î¥¤¥º¸»¤È¥Á¥Ã¥×Æâ¥Ç¥«¥Ã¥×¥ê¥ó¥°ÍÆÎ̤«¤é¥â¥Ç¥ê¥ó¥°¤µ¤ì¤ë¡¥¤³¤ì¤é2¤Ä¤Î¼°¤òÍѤ¤¤ë¤³¤È¤Ç¡¤ÅŸ»ÇÛÀþÀ߷פΤ¿¤á¤Î¤µ¤Þ¤¶¤Þ¤Ê²òÀϤò¹Ô¤¦¤³¤È¤¬¤Ç¤­¤ë¡¥

C2-3-2
Âê̾À½Â¤¤Ð¤é¤Ä¤­¤È¿®ÍêÀ­¤ò¹Íθ¤·¤¿¸½¼ÂŪ¤Ê¾éĹ¥Ó¥¢ÁÞÆþÊýË¡
Ãø¼Ô *¹âÅè ͵»Ê (»°ÍÎȾƳÂÎ), Âçë °ì¹¬ (»°ÍÎLSI¥Ç¥¶¥¤¥ó¡¦¥·¥¹¥Æ¥à¥½¥Õ¥È), ¹õÀî ÆØ (»°ÍÎȾƳÂÎ)
Pagepp. 468 - 473
Keyword ¾éĹ¥Ó¥¢, DFM, À½Â¤¤Ð¤é¤Ä¤­, ¿®ÍêÀ­, ÃÙ±äÊÑÆ°
AbstractÈùºÙ²½¤Ë¤Ä¤ì¤Æ¡¤À½Â¤¤ò¹Íθ¤·¤¿À߷סÊDFM: design for manufacturability¡Ë¤ÈÊâα¤ê¤ò¹Íθ¤·¤¿À߷סÊDFY: design for yield¡Ë¤Ï¤Þ¤¹¤Þ¤¹½ÅÍפȤʤäƤ­¤Æ¤¤¤ë¡¥DFM/DFYµ»½Ñ¤Î°ì¤Ä¤Ë¡¤ÇÛÀþ´Ö¤ÎÀܳ¤Ë1¤Ä¤Î¥Ó¥¢¤ò»È¤¦¤Î¤Ç¤Ï¤Ê¤¯¡¤Æþ¤ì¤é¤ì¤ë²Õ½ê¤Ë¤Ç¤­¤ë¸Â¤ê¿¤¯¤Î¥Ó¥¢¤òÁÞÆþ¤¹¤ë¾éĹ¥Ó¥¢ÁÞÆþ¤¬¤¢¤ë¡¥ËÜÏÀʸ¤Ç¤Ï¡¤¤½¤Î¾éĹ¥Ó¥¢¤Ë´ØÏ¢¤·¡¤À½Â¤¤Ð¤é¤Ä¤­¤È¿®ÍêÀ­¤ò¹Íθ¤·¤¿¼ÂÍÑŪ¤Ç¸ú²ÌŪ¤Ê¾éĹ¥Ó¥¢ÁÞÆþÊýË¡¤òÄ󰯤¹¤ë¡¥ºÇ½é¤Ë¡¤¼ÂºÝ¤Î´ö¤Ä¤«¤ÎʪÍýÀ߷ץǡ¼¥¿¤«¤é¡¤¥Ó¥¢¤ÎÇÛÀþÄñ¹³¤äÍÆÎ̤òÅý·×²òÀϤ·¤¿·ë²Ì¤ò¼¨¤·¡¤À½Â¤¤Ð¤é¤Ä¤­¤Ë¤è¤ë¥Ó¥¢Äñ¹³ÊÑÆ°¤¬ÃÙ±ä¤ËÍ¿¤¨¤ë±Æ¶Á¤òÌÀ¼¨¤¹¤ë¡¥¼¡¤Ë¡¤¤½¤Î¤Ð¤é¤Ä¤­µ¯°øÃٱ䡤¥¨¥ì¥¯¥È¥í¥Þ¥¤¥°¥ì¡¼¥·¥ç¥ó¡ÊEM¡Ë¡¤¤½¤·¤Æ¥¹¥È¥ì¥¹¥Þ¥¤¥°¥ì¡¼¥·¥ç¥ó¡ÊSM¡Ë¤Î¤½¤ì¤¾¤ì¤Îɾ²Á´Ø¿ô¤òºîÀ®¤·¡¤Å¬Àڤʲսê¤Ë¾éĹ¥Ó¥¢¤òÁÞÆþ¤¹¤ëÊýË¡¤òÄ󰯤¹¤ë¡¥¼Â¸³·ë²Ì¤Ï²æ¡¹¤Î¼êË¡¤¬¤è¤ê¤Ð¤é¤Ä¤­¤ä¿®ÍêÀ­ÌäÂê¤ËÂФ·¤Æ¶¯¸Ç¤ÊÀ߷פò²Äǽ¤Ë¤¹¤ë¤³¤È¤ò¼¨¤¹¡¥

C2-3-3
Âê̾¥Þ¥ë¥³¥Õ¥â¥Ç¥ë¤Ë¤è¤ë¥ª¥·¥ì¡¼¥¿¥µ¥ó¥×¥ê¥ó¥°Êý¼°¿¿À­Íð¿ôÀ¸À®´ï¤ÎÍð¿ôÉʼÁ²òÀÏ
Ãø¼Ô *Å·ÌÚ ·òɧ (ÂçºåÂç³Ø ¾ðÊó²Ê³Ø¸¦µæ²Ê ¾ðÊó¥·¥¹¥Æ¥à¹©³ØÀì¹¶), ¶¶ËÜ ¾»µ¹, Ì©»³ ¹¬ÃË, Èø¾å ¹§Íº (ÂçºåÂç³Ø)
Pagepp. 474 - 479
Keyword ¿¿À­Íð¿ô, ¥Þ¥ë¥³¥Õ¥â¥Ç¥ë
Abstract¿¤¯¤Î°Å¹æ¥·¥¹¥Æ¥à¤ÏÂè»°¼Ô¤Ë¤Ïͽ¬ÉÔ²Äǽ¤ÊÍð¿ô¤òɬÍפȤ¹¤ë¤¬¡¢¿ô³ØÅª¤ËÀ¸À®¤µ¤ì¤ëµ¼»÷Íð¿ô¤Ï¼ï¤¬ÃΤé¤ì¤Æ¤·¤Þ¤¦¤ÈÁ´Íð¿ôÎó¤òºÆ¸½¤Ç¤­¤ë¼åÅÀ¤ò»ý¤Ä¡£¤½¤Î¤¿¤á¡¢Ç®»¨²»¤Ê¤É¤ÎʪÍýŪ¤Ê¥é¥ó¥À¥àÍ×°ø¤«¤éÍð¿ô¤òÀ¸À®¤¹¤ë¿¿À­Íð¿ôÀ¸À®´ï¤¬µá¤á¤é¤ì¤Æ¤¤¤ë¡£ËÜÏÀʸ¤Ç¤Ï¡¢¿¿À­Íð¿ôÀ¸À®´ï¤Î°ìÊý¼°¤Ç¤¢¤ë¥ª¥·¥ì¡¼¥¿¥µ¥ó¥×¥ê¥ó¥°Êý¼°¤Ë¤Ä¤¤¤Æ¡¢¥Þ¥ë¥³¥Õ²áÄø¤òÍѤ¤¤¿Íð¿ôÉʼÁɾ²Á¥â¥Ç¥ë¤òÄ󰯤¹¤ë¡£Ä󰯤·¤¿¥â¥Ç¥ë¤òÍѤ¤¤Æ¡¢¥ª¥·¥ì¡¼¥¿¤Î¼þ´ü¡¢¼þ´ü¤æ¤é¤®¡¢¥Ç¥å¡¼¥Æ¥£Èæ¤Ê¤É¤Îưºî¥Ñ¥é¥á¡¼¥¿¤¬Íð¿ô¤ÎÉʼÁ¤ËÍ¿¤¨¤ë±Æ¶Á¤Ë¤Ä¤¤¤Æ²òÀϤ·¤¿·ë²Ì¤òÊó¹ð¤¹¤ë¡£


¥»¥Ã¥·¥ç¥ó D2-1 ¥Ú¥È¥ê¥Í¥Ã¥È
Æü»þ: 2009ǯ4·î21Æü(²Ð) 9:00-10:15
ºÂĹ: ¾®Ãæ ±Ñ»Ì (̾¾ëÂç³ØÍý¹©³ØÉô¾ðÊ󹩳زÊ)

D2-1-1
Âê̾¿¶¤ëÉñ¤¤·Ñ¾µ¤òËþ¤¿¤¹¥ï¡¼¥¯¥Õ¥í¡¼¥Í¥Ã¥È¤Î³ÈÄ¥¤Èacyclic¥Í¥Ã¥È¤ËÂФ¹¤ë·òÁ´²½¤Î²ÄǽÀ­¤Ë¤Ä¤¤¤Æ
Ãø¼Ô »³¸ý ¿¿¸ç, *ÃÓÅÄ ÎÉ, ÅÄÃæ Ì­ (»³¸ýÂç³ØÂç³Ø±¡Íý¹©³Ø¸¦µæ²Ê)
Pagepp. 480 - 485
Keyword ¥ï¡¼¥¯¥Õ¥í¡¼, WF¥Í¥Ã¥È, ³ÈÄ¥, ¿¶¤ëÉñ¤¤·Ñ¾µ, ·òÁ´À­
AbstractËܹƤǤϥ¥¯¥Õ¥í¡¼¥Í¥Ã¥È¡ÊWF¥Í¥Ã¥È¡Ë¤Î³ÈÄ¥¤Ë¤Ä¤¤¤ÆµÄÏÀ¤¹¤ë¡¥³ÈÄ¥¸å¤Î¥ï¡¼¥¯¥Õ¥í¡¼¤Ï³ÈÄ¥Á°¤Î¿¶¤ëÉñ¤¤¤ò·Ñ¾µ¤·¡¤¤«¤ÄÏÀÍýŪ¤ËÀµ¤·¤¯¡Ê·òÁ´À­¤òËþ¤¿¤µ¡Ë¤Ê¤±¤ì¤Ð¤Ê¤±¤ì¤Ð¤Ê¤é¤Ê¤¤¡¥¤Þ¤º¿¶¤ëÉñ¤¤·Ñ¾µ¤È·òÁ´À­¤òʬΥ¤·¡¤ÆóÃʳ¬¤Ç³ÈÄ¥¤ò¹Ô¤¦ÏÈÁȤߤòÄ󰯤¹¤ë¡¥¤½¤ÎÏÈÁȤߤβ¼¤Ç¡¤¿¶¤ëÉñ¤¤·Ñ¾µ¤òËþ¤¿¤·¤Ä¤ÄÉÔ·òÁ´¤ÊWF¥Í¥Ã¥È¤ò·òÁ´¤Ë¤¹¤ë·òÁ´²½ÌäÂê¤òÄêµÁ¤·¡¤¤½¤ÎÀ­¼Á¤Ë¤Ä¤¤¤ÆµÄÏÀ¤¹¤ë¡¥¤½¤·¤Æacyclic WF¥Í¥Ã¥È¤Ë¸ÂÄꤷ¤¿ÉôʬÌäÂê¤ËÂФ·¤Æ¡¤¤½¤Î²ò·è²ÄǽÀ­¤òÌÀ¤é¤«¤Ë¤¹¤ë¡¥

D2-1-2
Âê̾MAX-LFS²òË¡¤È¸å½èÍý¤Î²þÎɤˤè¤êÀ­Ç½¶¯²½¤µ¤ì¤¿¥Ú¥È¥ê¥Í¥Ã¥È¤Î¥Þ¡¼¥­¥ó¥°¹½À®ÌäÂê²òË¡
Ãø¼Ô Àаæ Ì­µ×, *ÅIJ¬ ÃÒ»Ö, ÅÏîµ ÉÒÀµ (¹­ÅçÂç³ØÂç³Ø±¡)
Pagepp. 486 - 491
Keyword ¥Þ¡¼¥­¥ó¥°¹½À®ÌäÂê, ²ÄãÌäÂê, ȯ¸«Åª²òË¡
Abstract¥Ú¥È¥ê¥Í¥Ã¥È¤Î¥Þ¡¼¥­¥ó¥°¹½À®ÌäÂê(MCP: Marking Construction Problem)¤È¤Ï, ¡Ö¥Ú¥È¥ê¥Í¥Ã¥È N, ½é´ü¥Þ¡¼¥­¥ó¥° Mi, ÌÜɸ¥Þ¡¼¥­¥ó¥° Mt ¤¬Í¿¤¨¤é¤ì¤¿»þ, Mi¤«¤é¥È¥é¥ó¥¸¥·¥ç¥ó¤Îȯ²Ð¤Ë¤è¤êÁ«°Ü²Äǽ¤Ê¥Þ¡¼¥­¥ó¥°Mc¤Î¤¦¤Á¤ÇMt¤È¤Îº¹ ¦¤(Mt, Mc) = ¦²_{p ¢º P} |Mt(p) - Mc(p)|¤¬ºÇ¾®¤È¤Ê¤ë¥Þ¡¼¥­¥ó¥°¤òµá¤á¤è¡× ¤È¤¤¤¦ÌäÂê¤Ç¤¢¤ë¡¥ MCP¤Ï°ìÈ̤ËNP-º¤Æñ¤Ç¤¢¤ê, £²¼ïÎà¤Î²òË¡¤ÎÏÈÁÈ¤ß (i)MAX-LFS²òË¡¤òÍøÍѤ·¤¿²òË¡, (ii)¦¤(Mt, Mc)¤¬¾®¤µ¤¯¤Ê¤ë¸Â¤êìÅÍßŪ¤Ë¥Þ¡¼¥­¥ó¥°Á«°Ü¤ò·«¤êÊÖ¤¹²òË¡ ¤¬´û¤ËÄ󰯤µ¤ì¡¢¤½¤ì¤¾¤ì¤ÎÊý¸þ¤Ç¤¤¤¯¤Ä¤«¤Î¶ñÂÎŪ²òË¡¤¬ÃΤé¤ì¤Æ¤¤¤ë¡£ MCHFk¤Þ¤¿¤ÏMCGTk¤¬¤½¤ì¤¾¤ì, (i)¤Þ¤¿¤Ï(ii)¤ÎÏÈÁȤߤβòË¡¤ÎÃæ¤Ç¹âÀºÅÙ ¤Ç¤¢¤ë. ËܹƤǤÏ(i)¤Ë°¤¹¤ë²òË¡¤ÎÃæ¤Ç¹âÀºÅ٤Ǥ¢¤ëMCHFk¤ËÃåÌܤ¹¤ë¡£ ¤½¤Î²þÎÉÈǤǤ¢¤ëMC_feideq_gtk¤òÄ󰯤·, ·×»»µ¡¼Â¸³¤Ë¤è¤êÀ­Ç½É¾²Á¤ò¹Ô¤¦¡¥ ²þÎÉÅÀ¤Ï¡¢ÍѤ¤¤ëMAX-LFS²òË¡¤òFSDC¤è¤ê¹âÀºÅ٤Ǥ¢¤ëFEIDEQ¤Ø¤ÎÊѹ¹¤·¤¿ÅÀ, ¦¤(Mt, Mc)¤¬¤Ç¤­¤ë¤À¤±¾®¤µ¤¤¥Þ¡¼¥­¥ó¥°¤òµá¤á¤¿¸å¡¢ ¸å½èÍý¤È¤·¤Æ¤½¤Î¥Þ¡¼¥­¥ó¥°¤ËÂФ·¤ÆÅ¬ÍѤ¹¤ë(ii)¤Î²òË¡¤òMCGD1¤«¤é, ¤è¤ê¹âÀºÅ٤Ǥ¢¤ëMCGTk¤ËÊѹ¹¤·¤¿ÅÀ¤Ç¤¢¤ë¡¥

D2-1-3
Âê̾Heuristic Algorithms AADO and AMDLO for the Minimum Initial Marking Problem of Petri Nets
Ãø¼Ô *Satoru Ochiiwa, Satoshi Taoka (Graduate School of Engineering, Hiroshima University), Masahiro Yamauchi (Graduate School of Engineering, Kinki University), Toshimasa Watanabe (Graduate School of Engineering, Hiroshima University)
Pagepp. 492 - 497
Keyword petri Net, MIM, Heuristic Algorithm
AbstractThe minimum initial marking problem of Petri nets(MIM) is defined as follows: ``Given a Petri net and a firing count vector X, find an initial marking M0, with the minimum total token number, for which there is a sequence ¦Ä of transitions such that each transition t appears exactly X(t) times in ¦Ä, the first transition is enabled at M0 and the rest can be fired one by one subsequently.'' This paper proposes new algorithms AADO and AMDLO, improved versions of existing algorithms AAD and AMIM+, respectively. Sharpness of solutions or short CPU time is the main target of AADO or AMDLO, respectively.


¥»¥Ã¥·¥ç¥ó D2-2 ¥·¥¹¥Æ¥à¥Ð¥¤¥ª¥í¥¸¡¼
Æü»þ: 2009ǯ4·î21Æü(²Ð) 10:30-12:00
ºÂĹ: ¾¾Ìî ¹À»Ì (»³¸ýÂç³Ø)

D2-2-1
Âê̾(¾·ÂÔ) À¸Êª²óÏ©¤ÎÀ߷׸¶Íý¤Ë´ð¤Å¤¯ºÙ˦µ¡Ç½¤ÎÀß·×
Ãø¼Ô *ÁÒÅÄ ÇîÇ· (¶å½£¹©¶ÈÂç³Ø)
Pagepp. 498 - 502
Keyword ¥í¥Ð¥¹¥È¥Í¥¹, Àß·×, À¸Êª, ¥â¥¸¥å¡¼¥ë, CAD
AbstractComputer-Aided Design (CAD)¥·¥¹¥Æ¥à¤òÍѤ¤¤ÆÂçIJ¶Ýphosphotransferase system (PTS)¤Îʬ»Ò¥Í¥Ã¥È¥ï¡¼¥¯¹½Â¤¤ò¹çÍýŪ¤ËÀ߷פ¹¤ëÀïά¤òÄ󰯤¹¤ë¡£PTS¤òµ¡Ç½¥â¥¸¥å¡¼¥ë¤È¥Õ¥é¥Ã¥¯¥¹¥â¥¸¥å¡¼¥ë¤«¤é¤Ê¤ë³¬ÁØÅª¥â¥¸¥å¡¼¥ë¹½Â¤¤Ëʬ²ò¤·¤Æ¡¤°äÅÁ»ÒÀ©¸æ¥Í¥Ã¥È¥ï¡¼¥¯¤òÀ߷פ¹¤ë¤¿¤á¤Î¹çÍýŪÀïά¤òÄ󰯤·¤¿¡£CAD¤òÍѤ¤¤Æ¡¤¥°¥ë¥³¡¼¥¹¼è¤ê¹þ¤ß®ÅÙ¤ËÍ¿¤¨¤ë°äÅÁ»Òȯ¸½ÊѲ½¤Î±Æ¶Á¤ò¥·¥ß¥å¥ì¡¼¥·¥ç¥ó²òÀϤ·¤¿¡£¤½¤Î¤è¤¦¤ÊÀ߷פä²òÀϤòÄ̤·¤Æ¡¤ptsI°äÅÁ»Ò¤Î²á¾êȯ¸½¡¤mlc°äÅÁ»Ò·ç»¤¬¥°¥ë¥³¡¼¥¹¼è¤ê¹þ¤ß¤ò¶¯²½¤¹¤ë¤³¤È¤òͽ¬¤·¡¤À¸Êª¼Â¸³¤òÍѤ¤¤Æ¾ÚÌÀ¤·¤¿¡£

D2-2-2
Âê̾(¾·ÂÔ) ºÙ˦ʬ²½¤òͶƳ¤¹¤ë¥·¥°¥Ê¥ë¤Èž¼Ì¤ÎÈ¿±þ¹ü³Ê
Ãø¼Ô È«»³ âÃΤ»Ò, *ÇòÀРͧ°ì (Íý²½³Ø¸¦µæ½ê)
Pagepp. 503 - 505
Keyword ¥·¥°¥Ê¥ëÅÁã, ºÙ˦, ¥·¥¹¥Æ¥à, ž¼Ì
AbstractºÙ˦¤Î¥·¥°¥Ê¥ëÅÁã·Ï¤Ï¡¢ºÙ˦¤¬³°Åª´Ä¶­¤ËÂбþ¤·¤Æ¼«¤é¤Î±¿Ì¿¤ò·èÄꤹ¤ë¤¿¤á¤Î½ÅÍפÊÀ¸²½³ØÈ¿±þ¤Î¤Ò¤È¤Ä¤Ç¤¢¤ë¡£¤Ò¤È¤Ä¤ÎºÙ˦¤¬°Û¤Ê¤ë¥Õ¥§¥Î¥¿¥¤¥×¡Êɽ¸½·Á¼Á¡Ë¤òÀ¸¤ß½Ð¤¹¤È¤­¤Î¥·¥°¥Ê¥ëÅÁã¤ò¤¿¤É¤Ã¤Æ¤¤¤¯¤È¡¢Ê¬»Ò¤äÈ¿±þ¤½¤Î¤â¤Î¤ÏƱ¤¸¤Ç¤¢¤ë¤³¤È¤¬Â¿¤¤¡£¤¤¤Þ¤Þ¤Ç¤Î¼Â¸³Åª¤ÊÃ諤«¤é¡¢Ê¬»Ò¤Î³èÀ­²½¥À¥¤¥Ê¥ß¥¯¥¹¤Î°ã¤¤¤¬°Û¤Ê¤ë¥Õ¥§¥Î¥¿¥¤¥×¤òͶƳ¤¹¤ë¤È¹Í¤¨¤é¤ì¤Æ¤¤¤ë¡£¤½¤·¤Æ¡¢¤³¤ì¤é¥·¥°¥Ê¥ëʬ»Ò¤Î¥À¥¤¥Ê¥ß¥¯¥¹ÊѲ½¤òºÙ˦¤Î¼ÁŪÊѲ½¤ËÊÑ´¹¤¹¤ëÏÈÁȤߤȤ·¤Æ¡¢¥·¥°¥Ê¥ë¤¬Í¶Æ³¤¹¤ëÁá´üž¼Ì¤Î½ÅÍ×À­¤â¤ï¤«¤Ã¤Æ¤­¤¿¡£ËÜȯɽ¤Ç¤Ï¡¢¼Â¸³¤È¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤ëºÙ˦ʬ²½¤Î²óÏ©¤ÎƱÄê¤Ë¤Ä¤¤¤Æ¾Ò²ð¤¹¤ë¡£


¥»¥Ã¥·¥ç¥ó D2-3 ¥¢¥ë¥´¥ê¥º¥àÏÀII
Æü»þ: 2009ǯ4·î21Æü(²Ð) 13:30-14:45
ºÂĹ: »³ÅÄ ÉÒµ¬ (ºë¶ÌÂç³Ø Âç³Ø±¡Íý¹©³Ø¸¦µæ²Ê ¿ôÍýÅŻҾðÊóÉôÌç)

D2-3-1
Âê̾ÀÅŪ2ʬõº÷ÌÚ: 2Êý¸þľ¸òȾľÀþ¤Îsub-crossbarÌäÂê¤Ø¤Î±þÍÑ
Ãø¼Ô *¹â¶¶ ½Óɧ (¿·³ãÂç³ØÂç³Ø±¡¼«Á³²Ê³Ø¸¦µæ²Ê)
Pagepp. 506 - 509
Keyword Ê¿¹ÕÌÚ, 2ʬõº÷ÌÚ, Ê¿ÌÌÁöººË¡, orthogonal rays, sub-crossbar
AbstractÁÞÆþ¤¢¤ë¤¤¤Ïºï½ü¤µ¤ì¤ëÀáÅÀ¤¬´ûÃΤȤ¤¤¦²¾Äê¤Î¤â¤È¤Ç¤Ï, Ê¿¹Õ²½¤ÎÁàºî¤¬ÉÔÍפÊÊ¿¹ÕÌÚ¤¬¼Â¸½¤Ç¤­¤ë. ËÜÊó¹ð¤Ï¤³¤Î¤è¤¦¤ÊÊ¿¹ÕÌÚ¤òÀÅŪ2ʬõº÷ÌڤȤ·¤ÆÄ󰯤·, ¤½¤ÎľÀÜŪ¤Ê±þÍÑÎã¤Ç¤¢¤ë, 2Êý¸þľ¸òȾľÀþ¤Îsub-crossbarÌäÂê¤ò¾Ò²ð¤¹¤ë.

D2-3-2
Âê̾Minimum Augmentation to Tri-Connect a Bi-Connected Graph with Upper Bounds on Vertex-Degree
Ãø¼Ô *Toshiya Mashima (Hiroshima International University), Satoshi Taoka, Toshimasa Watanabe (Hiroshima University)
Pagepp. 510 - 515
Keyword graphs, vertex-connectivity, augmentation problems, degree constraints, linear time algorithms
AbstractThe 3-vertex-connectivity augmentation problem of a graph with degree constraints, 3VCA-DC, is defined as follows: ``Given an undirected graph G=(V,E), and an upper bound f(v)¢ºZ+¢À{infinity} on vertex-degree increase for each v¢ºV, find a smallest set E' of edges such that (V,E¢ÀE') is 3-vertex-connected and such that vertex-degree increase of each v¢ºV by the addition of E' to G is at most f(v), where Z+ is the set of nonnegative integers.'' In this paper we propose a new linear time algorithm for finding an optimum solution, if any, to 3VCA-DC for any bi-connected graph.

D2-3-3
Âê̾¥°¥é¥ÕÅÀºÌ¿§ÌäÂê¤Îʬ»¶Ê¬»Þ¸ÂÄê²òË¡ParaBSC¤ËÂФ¹¤ëVNS¤Ë´ð¤Å¤¯À­Ç½¶¯²½
Ãø¼Ô Æ»¸å ¹¬´² (¹­ÅçÂç³Ø¹©³ØÉô), *ÅIJ¬ ÃÒ»Ö, ÅÏî´ ÉÒÀµ (¹­ÅçÂç³ØÂç³Ø±¡ ¹©³Ø¸¦µæ²Ê)
Pagepp. 516 - 521
Keyword ¥°¥é¥ÕÅÀºÌ¿§ÌäÂê, ºÇ¾®ºÌ¿§¿ô, ¶á˵õº÷, ȯ¸«Åª²òË¡, ʬ»Þ¸ÂÄêË¡
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Keyword ¾ò·ï¡¿»ö¾Ý¥Í¥Ã¥È, ºÇ¾®¼Â¸½, Î¥»¶»ö¾Ý¥·¥¹¥Æ¥à
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