| 2007ǯ4·î22Æü(Æü) | 18:00¡Á20:00 |
| 2007ǯ4·î23Æü(·î) | 8:00¡Á |
| 2007ǯ4·î24Æü(²Ð) | 8:00¡Á |
| 2007ǯ4·î23Æü(·î) [²ñ¾ì: ·Ú°æÂô¥×¥ê¥ó¥¹¥Û¥Æ¥ë¡¦À¾´Û¡¦¹ñºÝ²ñµÄ¾ì Àõ´Ö] |
| A | Ba | Bd | C | D |
|---|---|---|---|---|
¥Ç¥Ð¥¤¥¹¥â¥Ç¥ê¥ó¥° |
¦¤¦²ÊÑÄ´´ï |
¥·¥¹¥Æ¥à¼Â¸½µ»½Ñ |
¥ì¥¤¥¢¥¦¥È |
·Á¼°Åª¼êË¡ |
ÈóÀþ·¿²óÏ© |
²èÁü½èÍý |
[¥Á¥å¡¼¥È¥ê¥¢¥ë] ¥Æ¥¹¥ÈÀß·× |
ÊÂÎóʬ»¶½èÍý |
|
[ÆÃÊÌ¥»¥Ã¥·¥ç¥ó] ¼ÂÁõÀß·×ÍÑ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó |
[ÆÃÊÌ¥»¥Ã¥·¥ç¥ó] ¥½¥Õ¥È¥¦¥§¥¢ÌµÀþµ»½Ñ¤Î³µÍ×¤ÈÆ°¸þ (1) |
´ðÁᦲ»À¼½èÍý |
¥¢¡¼¥¥Æ¥¯¥Á¥ãÀ߷פÈÄãÅÅÎϲ½ |
[ÆÃÊÌ¥»¥Ã¥·¥ç¥ó] ¿·À¤Âå¤Î·×»»¸Â³¦ |
[ÆÃÊÌ¥»¥Ã¥·¥ç¥ó] À¸Ì¿ÂÎ¥·¥¹¥Æ¥à¤ÈÈóÀþ·Á¥À¥¤¥Ê¥ß¥¯¥¹ |
[ÆÃÊÌ¥»¥Ã¥·¥ç¥ó] ¥½¥Õ¥È¥¦¥§¥¢ÌµÀþµ»½Ñ¤Î³µÍ×¤ÈÆ°¸þ (2) |
¥¤¥ó¥¿¥é¥¯¥Æ¥£¥Ö¥»¥Ã¥·¥ç¥ó |
±é»»´ïÀß·× |
[ÆÃÊÌ¥»¥Ã¥·¥ç¥ó] ·Á¼°¼êË¡¤Ë´ð¤Å¤¯ÊÂ¹Ô¥×¥í¥°¥é¥ß¥ó¥° |
| ¾©Îå¾Þɽ¾´¼° 17:30-17:40 [²ñ¾ì: ĹÌî] | ||||
| ÆÃÊ̾·ÂÔ¹Ö±é: ¡Ö¥Ó¥Ç¥ª¥«¥á¥éÍÑAVCHDµ¬³Ê¤ÎºöÄê¤Èº£¸å¤Î¥Ó¥Ç¥ª¥«¥á¥éư¸þ¡× µÈÀî ¹§Íº(¥½¥Ë¡¼³ô¼°²ñ¼Ò) 17:40-18:40 [²ñ¾ì: ĹÌî] | ||||
| º©¿Æ²ñ 18:40-20:40 [²ñ¾ì: ĹÌî] | ||||
| 2007ǯ4·î24Æü(²Ð) [²ñ¾ì: ·Ú°æÂô¥×¥ê¥ó¥¹¥Û¥Æ¥ë¡¦À¾´Û¡¦¹ñºÝ²ñµÄ¾ì Àõ´Ö] |
| A | Ba | Bd | C | D |
|---|---|---|---|---|
ÈóÀþ·Á²óÏ©¤Î²òÀϤÈÀß·× |
¥¢¥Ê¥í¥°½¸ÀѲóÏ©¥Ö¥í¥Ã¥¯ |
¿®¹æ½èÍý±þÍÑ |
¹â°Ì¹çÀ® |
[ÆÃÊÌ¥»¥Ã¥·¥ç¥ó] ¸Î¾ã¿ÇÃǤθ¦µæÆ°¸þ (1) |
¥«¥ª¥¹¤È¤½¤Î±þÍÑ |
ÅŸ»²óÏ© |
¥Õ¥£¥ë¥¿´ðÁà |
[ÆÃÊÌ¥»¥Ã¥·¥ç¥ó] DFM (1) |
[ÆÃÊÌ¥»¥Ã¥·¥ç¥ó] ¸Î¾ã¿ÇÃǤθ¦µæÆ°¸þ (2) |
[ÆÃÊÌ¥»¥Ã¥·¥ç¥ó] DFM (2) |
±ÇÁü±þÍÑ |
¥·¥¹¥Æ¥àÀß·×¼êË¡ |
[ÆÃÊÌ¥»¥Ã¥·¥ç¥ó] ¥·¥¹¥Æ¥à¥Ð¥¤¥ª¥í¥¸¡¼ |
|
¥Ë¥å¡¼¥é¥ë¥·¥¹¥Æ¥à¤È¤½¤Î±þÍÑ |
²èÁü±þÍÑ |
[ÆÃÊÌ¥»¥Ã¥·¥ç¥ó] DFM (3) |
¥¢¥ë¥´¥ê¥º¥à |
| Âê̾ | ÀèüMOSFETµ»½Ñ¤Ë¤ª¤±¤ëHiSIM2´ðÈÄÅÅή¥â¥Ç¥ë |
| Ãø¼Ô | *°ð³À μ²ð(Áá°ðÅÄÂç³ØÂç³Ø±¡ ¾ðÊóÀ¸»º¥·¥¹¥Æ¥à¸¦µæ²Ê/ȾƳÂÎÍý¹©³Ø¸¦µæ¥»¥ó¥¿¡¼(³ô) ´ë²èÉô), Äç¶á ÎÑÉ×, Dondee Navvaro(¹ÅçÂç³ØÂç³Ø±¡ Àèüʪ¼Á²Ê³Ø¸¦µæ²Ê), Q. Ngo, C.Y. Yang(¥µ¥ó¥¿¡¦¥¯¥é¥éÂç³Ø), »°±º Æ»»Ò(¹ÅçÂç³ØÂç³Ø±¡ Àèüʪ¼Á²Ê³Ø¸¦µæ²Ê), °æ¾å Ì÷½©(Áá°ðÅÄÂç³ØÂç³Ø±¡ ¾ðÊóÀ¸»º¥·¥¹¥Æ¥à¸¦µæ²Ê) |
| Page | pp. 1 - 6 |
| Keyword | HiSIM2, ´ðÈÄÅÅή, ¥Ó¥Ë¥ó¥°, û¥Á¥ã¥Í¥ë |
| Abstract | ÀèüMOSFET¤Ë¤ª¤±¤ë´ðÈÄÅÅή¥â¥Ç¥ë¤òɽÌ̥ݥƥ󥷥ã¥ë¤ò¥Ù¡¼¥¹¤È¤¹¤ëʪÍý¥â¥Ç¥ëHiSIM2¤ËŬÍѤ·¤½¤ÎÄ󰯤ò¹Ô¤¦¡£¤³¤Î´ðÈÄÅÅή¥â¥Ç¥ë¤Ï¥¤¥ó¥Ñ¥¯¥È¥¤¥ª¥ó²½¤Ë¤è¤ë¥É¥ì¥¤¥ó-´ðÈÄ´Ö¤ËȯÀ¸¤¹¤ëÅÅή¤È¥È¥ó¥Í¥ê¥ó¥°ÅÅή¤Ç¤¢¤ë¥²¡¼¥È-´ðÈÄ´Ö¤ËȯÀ¸¤¹¤ëÅÅή¤Ë¤è¤ê¹½À®¤µ¤ì¤ë¡£Á´¤Æ¤ÎÁǻҥµ¥¤¥º¡¢Á´¤Æ¤Î¥Ð¥¤¥¢¥¹Å۵°Í¸À¤ËÂФ·¤Æ¥Ó¥Ë¥ó¥°¤¹¤ë¤³¤È̵¤·¤Ë£²£±¸Ä¤Î¥Ñ¥é¥á¡¼¥¿¤Ç¬ÄêÃͤòÀµ³Î¤Ëɽ¸½¤¹¤ë¡£´ðÈÄÅÅή¤Ï¶ËÈùºÙû¥Á¥ã¥Í¥ëÁǻҤˤª¤¤¤Æ¥²¡¼¥ÈÅÅή¤è¤ê¤â½ÅÍפȤʤ롣 |
| Âê̾ | ûµ÷Î¥¥Ö¥í¥Ã¥¯ÆâÇÛÀþ¤Î¼«¸ÊȯǮ |
| Ãø¼Ô | *¿·³« ·ò°ì, ¶¶ËÜ ¾»µ¹, Èø¾å ¹§Íº(ÂçºåÂç³ØÂç³Ø±¡ ¾ðÊó²Ê³Ø¸¦µæ²Ê) |
| Page | pp. 7 - 12 |
| Keyword | ¼«¸ÊȯǮ, ²¹ÅÙ, ÇÛÀþ, ¥Ö¥í¥Ã¥¯ÆâÇÛÀþ, low-k ºàÎÁ |
| Abstract | ËÜÏÀʸ¤Ç¤Ï¡¤Ã»µ÷Î¥¥Ö¥í¥Ã¥¯ÆâÇÛÀþ¤Ë¤ª¤±¤ë¼«¸ÊȯǮ¸ú²Ì¤¬¥×¥í¥»¥¹¥¹¥±¡¼¥ê¥ó¥°¤Ëȼ¤Ã¤Æ¸²ºß²½¤¹¤ë¤«¤òͽ¬¤¹¤ë¡¥Ã»µ÷Î¥¥Ö¥í¥Ã¥¯ÆâÇÛÀþ¤Ï¡¤´ðÈĤ˶ᤤ¤¿¤áÍ¥¤ì¤¿ÊüÇ®À¤ò»ý¤Á¡¤¼«¸ÊȯǮ¤Ï¾®¤µ¤¤¤È¹Í¤¨¤é¤ì¤Æ¤¤¿¡¥¤·¤«¤·¡¤¥¯¥í¥Ã¥¯Ê¬ÇÛ¤òÁÛÄꤷ¤¿²òÀϤò¹Ô¤Ã¤¿¤È¤³¤í¡¤¥Ö¥í¥Ã¥¯ÆâÇÛÀþ¤Î¼«¸ÊȯǮ¤¬¥°¥í¡¼¥Ð¥ëÇÛÀþ¤Î¾ì¹ç¤è¤ê¤âÂ礤¯¤Ê¤ë¤³¤È¤ò³Îǧ¤·¤¿¡¥´ðÈÄÀܹçÉô²¹ÅÙ¤«¤é¤ÎÇÛÀþ¤ÎºÇÂç²¹Åپ徺¤Ï¡¤14 nm ¥×¥í¥»¥¹¤Ë¤ª¤¤¤Æ 40.5¡î ¤Ë¤â㤹¤ë¡¥Í×°øÊ¬ÀϤò¹Ô¤Ã¤¿·ë²Ì¡¤ÇÛÀþÃÇÌÌÀѤν̾®¤¬ low-k ºàÎÁ¤ÎºÎÍѤä¾ÃÈñÅÅÎÏÁýÂç¤ÈÆ±ÄøÅÙ¼«¸ÊȯǮ¤ò°²½¤µ¤»¤ë¤³¤È¤¬Ê¬¤«¤Ã¤¿¡¥¤Þ¤¿¡¤¼«¸ÊȯǮ¤Ë¤è¤ê¡¤¿®ÍêÀÄã²¼¤ÈÀǽÎô²½¤¬À¸¤¸¤ë¡¥14 nm ¥×¥í¥»¥¹¤Ë¤ª¤¤¤ÆÇÛÀþ²¹ÅÙ¤ÈÀܹçÉô²¹ÅÙ¤òÅù¤·¤¤¤È¹Í¤¨¤¿¾ì¹ç¡¤¼ÂºÝ¤Î¸Î¾ã»þ´Ö¤ÏͽÁÛ¤è¤êÌó 3 - 10 ÇÜû¤¯¤Ê¤ê¡¤¿®¹æÃÙ±ä¤Ï 2.8% °²½¤¹¤ë¡¥ |
| Âê̾ | ¿®ÍêÀÊݾڤΤ¿¤á¤ÎNBTI¤Î¥â¥Ç¥ê¥ó¥°¤È¥·¥ß¥å¥ì¡¼¥·¥ç¥óÊýË¡ |
| Ãø¼Ô | *¹õÀî ÆØ(»°ÍÎȾƳÂÎ(³ô) SS»ö¶È¿ä¿ÊÅý³çÉô Àß·×µ»½ÑÉô), ÂçÅè ·é(¡Ê³ô¡Ë¥Æ¥£¥¨¥¹¥Æ¥£), ÌÚ¼ °Â¹Ô, µÜ²¼ ÇîÇ·, Æü·¨ ͵ÍÎ(»°ÍÎȾƳÂÎ(³ô) ¥Ç¥¸¥¿¥ë¥·¥¹¥Æ¥àÂè1»ö¶ÈÉô IP³«È¯Éô), ËÌÄÞ Ï½Ó(»°ÍÎȾƳÂÎ(³ô) S£Ó»ö¶È¿ä¿ÊÅý³çÉô ÉʼÁÊݾÚÉô), °ËÉô ůÌé(»°ÍÎȾƳÂÎ(³ô) SS»ö¶È¿ä¿ÊÅý³çÉô Àß·×µ»½ÑÉô) |
| Page | pp. 13 - 18 |
| Keyword | NBTI, HCI, Reliability, Simulation |
| Abstract | ¼ÂºÝ¤Î²óϩưºî¤ÎÊݾڤȤ¤¤¦´ÑÅÀ¤Ç¡¢Éé¥Ð¥¤¥¢¥¹²¹ÅÙÉÔ°ÂÄêÀ¡ÊNBTI¡Ë¤Î¥ê¥«¥Ð¥ê¤ä¼þÇÈ¿ô¸ú²Ì¡¢¼Â¬¤Î¤Ð¤é¤Ä¤¤òÁ´¤Æ¹Íθ¤·¤¿¸½¼ÂŪ¤Ê¥â¥Ç¥ê¥ó¥°¤òÄ󼨤¹¤ë¡£¤Þ¤¿¡¢¥Û¥Ã¥È¥¥ã¥ê¥¢ÃíÆþ¡ÊHCI¡Ë¤Î¥Ç¥Ð¥¤¥¹Îô²½¤ÈÁȤ߹ç¤ï¤»¤Æ¿®ÍêÀ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤¹¤ëÊýË¡¤ò¼¨¤·¡¢ADC¤ËŬÍѤ·¤¿·ë²Ì¤ò¼¨¤¹¡£ |
| Âê̾ | ¥À¥ß¡¼¥Õ¥£¥ë¤¬¥ª¥ó¥Á¥Ã¥×ÇÛÀþ¤Î¹â¼þÇÈÆÃÀ¤ËÍ¿¤¨¤ë±Æ¶Á¤Î²òÀÏŪɾ²Á¼êË¡ |
| Ãø¼Ô | *ÅÚë μ, ¾®Ìî»û ½¨½Ó(µþÅÔÂç³Ø) |
| Page | pp. 19 - 22 |
| Keyword | ¥À¥ß¡¼¥Õ¥£¥ë, ±²ÅÅή |
| Abstract | ËܹƤǤϡ¤¥À¥ß¡¼¥Õ¥£¥ë¤¬¥ª¥ó¥Á¥Ã¥×ÇÛÀþ¤ÎÆÃÀ¤ËÍ¿¤¨¤ë±Æ¶Á¤ò²òÀÏŪ¤Ëɾ²Á¤¹¤ë¼êË¡¤òÄ󰯤¹¤ë¡¥ ¼þÇÈ¿ô¤¬10GHz¤òͤ¨¤ë¤è¤¦¤ÊÎΰè¤Ç¤Ï¡¤¥À¥ß¡¼¥Õ¥£¥ë¤Ï ÇÛÀþÍÆÎ̤À¤±¤Ç¤Ê¤¯ÇÛÀþÄñ¹³¤Ë¤â±Æ¶Á¤òÍ¿¤¨¤ë¤è¤¦¤Ë¤Ê¤ê¡¤¤½¤Î±Æ¶Á¤Ï̵»ë¤Ç¤¤Ê¤¤¡¥ °ìÊý¡¤¥À¥ß¡¼¥Õ¥£¥ë¤ÏÁÞÆþ¤µ¤ì¤ë¿ô¤¬ËÄÂç¤Ç¤¢¤ë¤¿¤á¡¤ Åż§³¦²òÀϤòÍѤ¤¤Æ¤â¤½¤Î±Æ¶Á¤òɾ²Á¤¹¤ë¤Ë¤ÏÂ礤ʷ׻»µ¡»ñ¸»¤ª¤è¤Ó·×»»»þ´Ö¤¬É¬ÍפǤ¢¤ë¡¥ Ä󰯼êË¡¤Ï¥À¥ß¡¼¥Õ¥£¥ëÆâ¤Ëή¤ì¤ëÅÅή¤ò¥â¥Ç¥ë²½¤¹¤ë¤³¤È¤Ç¡¤ ¥À¥ß¡¼¥Õ¥£¥ë¤¬ÇÛÀþÄñ¹³¤ËÍ¿¤¨¤ë±Æ¶Á¤ò²òÀÏŪ¤ËƳ½Ð¤¹¤ë¡¥ ¼Â¬¤ª¤è¤Ó3¼¡¸µ¤ÎÅż§³¦²òÀϤȤÎÈæ³Ó¤«¤é¡¤Ä󰯼êË¡¤¬ ¥À¥ß¡¼¥Õ¥£¥ë¤Î±Æ¶Á¤ò¹â¤¤ÀºÅ٤Ǹ«ÀѤâ¤ì¤ë¤³¤È¤ò³Îǧ¤·¤¿¡¥ |
| Âê̾ | (¾·ÂÔ)¥Á¥Ã¥×¡¿¥Ñ¥Ã¥±¡¼¥¸¡¿¥Ü¡¼¥ÉÅý¹çÀ߷פ˸þ¤±¤¿Åŵ¤·Ï¥·¥ß¥å¥ì¡¼¥·¥ç¥óµ»½Ñ¤Î¸½¾õ¤È¾ÍèŸ˾ |
| Ãø¼Ô | *Àõ°æ ½¨¼ù(ÀŲ¬Âç³Ø¹©³ØÉô) |
| Page | pp. 23 - 27 |
| Keyword | SPICE, »°¼¡¸µ²òÀÏ, ¥·¥°¥Ê¥ë¡¦¥¤¥ó¥Æ¥°¥ê¥Æ¥£, ¥Ñ¥ï¡¼¡¦¥¤¥ó¥Æ¥°¥ê¥Æ¥£, Åý¹ç²½´Ä¶ |
| Abstract | ºòº£¤Î²óÏ©¤Î¹âÌ©ÅÙ²½¤È¹â®²½¤Ï¡¢À߷ס¢¼ÂÁõ¤Ë¤ª¤±¤ë¥Þ¡¼¥¸¥ó¤ò¾®¤µ¤¯¤·¤Æ¤ª¤ê¡¢¹âÀºÅÙ¡¦¹âÉʼÁ¤¬Í׵ᤵ¤ì¤Æ¤¤¤ë¡£¤½¤³¤Ç¡¢½ÅÍפȤʤäÆÍ褿¤Î¤¬À߷פ«¤é¼ÂÁõ¤Þ¤Ç¤Î¿Íͤʿ®¹æ¡¿ÅŸ»¤ÎÉʼÁÊݾڤǤ¢¤ë¡£ËܹƤǤϡ¢¤Þ¤ººÇ½é¡¢¥Á¥Ã¥×¡¦¥Ñ¥Ã¥±¡¼¥¸¡¦¥Ü¡¼¥ÉÀ߷פˤª¤±¤ëºòº£¤Î¥Ñ¥ï¡¼¡¿¥·¥°¥Ê¥ëÉʼÁÊݾÚÌäÂê¤òÀ°Íý¤·¤¿¾å¤Ç¡¢¹â®¥Ç¥£¥¸¥¿¥ë»þÂå¤Î¥·¥ß¥å¥ì¡¼¥·¥ç¥óµ»½Ñ¤Î¸½¾õ¤Èº£¸å¤ÎŸ˾¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë¡£¤µ¤é¤Ë¡¢Åý¹ç²½¸¡¾Ú¥·¥¹¥Æ¥à¤ÎɬÍ×À¤È¤½¤Î¹½Ãۤ˸þ¤±¤ÆÉ¬ÍפȤʤ뵻½Ñ¤Ë¤Ä¤¤¤Æ¸ÀµÚ¤¹¤ë¡£ |
| Âê̾ | An Efficient Variable Gain Homotopy Method Using the SPICE-Oriented Approach |
| Ãø¼Ô | *Wataru Kuroki, Kiyotaka Yamamura, Shingo Furuki(Chuo University) |
| Page | pp. 29 - 34 |
| Keyword | Circuit simulation, nonlinear circuit, SPICE, homotopy method |
| Abstract | Homotopy methods are known to be effective methods for finding DC operating points of nonlinear circuits with the theoretical guarantee of global convergence. There are several types of homotopy methods; as one of the efficient methods, the variable gain homotopy (VGH) method is well-known. However, in the conventional VGH method, the initial point is sometimes far from the solution because it is given as a solution of a diode circuit. In this paper, we propose an efficient VGH method using the SPICE-oriented approach. The proposed method can be easily implemented on SPICE without programming, although we do not know the homotopy method well. Moreover, since we can use a good initial point, the path following tends to become smooth and efficient. |
| Âê̾ | Index Reduction for Differential-Algebraic Equations in Circuit Simulation |
| Ãø¼Ô | *Mizuyo Takamatsu(University of Tokyo), Satoru Iwata(Kyoto University) |
| Page | pp. 35 - 40 |
| Keyword | DAE, index reduction, circuit simulation, hybrid analysis |
| Abstract | Differential-algebraic equations (DAEs) naturally arise in many applications, but present numerical and analytical difficulties. The index of a DAE is a measure of the degree of numerical difficulty. In this paper, we propose two index reduction methods for linear DAEs with constant coefficients. One is applicable to all DAEs having at most one derivative per equality. This method always reduces the index exactly by one. The other one, applicable to DAEs in circuit simulation, minimizes the index of the DAE to be solved in the hybrid analysis. |
| Âê̾ | (¾·ÂÔ)¥Ñ¥ï¡¼¥¤¥ó¥Æ¥°¥ê¥Æ¥£¤ÈÅŸ»¥³¥â¥ó¥â¡¼¥ÉEMI¥·¥ß¥å¥ì¡¼¥·¥ç¥ó |
| Ãø¼Ô | *¿ÜÆ£ ½ÓÉ×((³ô)Åì¼Ç À¸»ºµ»½Ñ¥»¥ó¥¿¡¼), ¶úÊ¿ ¹§¿®(¥Þ¥Ë¥å¥Õ¥¡¥¯¥Á¥ã¥ê¥ó¥° ¥½¥ê¥å¡¼¥·¥ç¥ó(³ô)) |
| Page | pp. 41 - 44 |
| Keyword | ¥Ñ¥ï¡¼¥¤¥ó¥Æ¥°¥ê¥Æ¥£, EMI, ¥³¥â¥ó¥â¡¼¥É, ÅŸ» |
| Abstract | ÅŸ»ÊÑÆ°¤òµ¯¤¹¥Ñ¥ï¡¼¥¤¥ó¥Æ¥°¥ê¥Æ¥£¤Î£²¤Ä¤Î¦Ì̤ò¤ò¤¢¤²¡¢LSI¤ÎÅŸ»Ã¼»Ò¤«¤éή¤ì¤ë¹â¼þÇÈÅÅή¤¬¥Ü¡¼¥É¤ÎÅŸ»/GNDÌ̤òÍɤ¹¤ë¤³¤È¤Ë¤è¤êÀ¸¤¸¤ë¥³¥â¥ó¥â¡¼¥ÉEMI¤Î²òÀÏ¡¦Í½Â¬¼êË¡¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë¡£ |
| Âê̾ | Áê´Ø·¸¿ô¤Ë¤â¤È¤Å¤¯²óµ¢Ê¬ÀϤÎÅŸ»²þÁ±¤Ø¤ÎŬÍÑ |
| Ãø¼Ô | *Ç븶 ¼®, ¾å±ò ¹ª, º´Æ£ ¹â»Ë, ±× °ìºÈ(Åìµþ¹©¶ÈÂç³Ø Åý¹ç¸¦µæ±¡) |
| Page | pp. 45 - 50 |
| Keyword | ÅŸ»Å۵¹ß²¼, ÅŸ»ÌÖ, Áê´Ø·¸¿ô, ²óµ¢Ê¬ÀÏ |
| Abstract | ²óϩưºî¤Ë¤è¤êLSI Æâ¤ÎÅŸ»ÌÖ¤ËÅ۵ÊÑÆ°¤¬À¸¤¸¤ë ¾ì¹ç¡¤³Æ½ê¤ÎÅ۵¤ÏÆÈΩ¤Ç¤Ï¤Ê¤¯¸ß¤¤¤ËÁê´Ø¤¹¤ë¡¥ÅÅ ¸»ÌÖÀ߷פÎÎÉÈݤòɾ²Á¤¹¤ë»ØÉ¸¤È¤·¤Æ¡¤Å۵ÊÑÆ°¤Î Áê´Ø·¸¿ô¤ÎÊ¿¶ÑÃͤÎÍøÍѤò¸¡Æ¤¤¹¤ë¡¥Áê´Ø¤Î¶¯¼å¤Ï ³ÆÀáÅÀ´Ö¤ÎÄñ¹³¤äµ÷Î¥¤Ë°Í¸¤¹¤ë¤Î¤Ç¡¤ÅŸ»Ì֤ˤª ¤¤¤ÆÀܳ¤¬½½Ê¬¤Ç¤Ê¤¤¾ì½ê¤ÎŦ½Ð¤¬¤Ç¤¤ë¡¥¤Þ¤¿¡¤²ó µ¢Ê¬ÀϤòÊ»ÍѤ·¡¤ÅŸ»ÌÖÆâ¤Ë¤ª¤¤¤Æ¥¯¥í¥Ã¥¯¥¿¥¤¥ß ¥ó¥°²þÁ±¤Ë¸ú²ÌŪ¤Ê½¤Àµ²Õ½ê¤ò»ØÅ¦¤¹¤ëÊýË¡¤òÄó°Æ ¤¹¤ë¡¥¥¯¥í¥Ã¥¯¥¹¥¥å¡¼Ä㸺¤òÌÜŪ¤È¤·¤¿ÅŸ»ÌÖ²þ Á±¤òÎã¤È¤·¤Æ¡¤ÅŸ»Ì֤κÇÂ祹¥¥å¡¼¤ò20%Ä㸺¤Ç ¤¤ë¤³¤È¤ò¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤ËÍѤ¤¤Æ¼¨¤¹¡¥Ä󰯼ê Ë¡¤Ï¡¤À߷פÎÁᤤÃʳ¬¤Ë¤ª¤±¤ëÅŸ»Ì֤κÇŬ²½¤ËÍ ¸ú¤Ç¤¢¤ë¡¥ |
| Âê̾ | CIPË¡¤òÍѤ¤¤¿Â¿Æ³ÂÎÍ»¼ºÅÁÁ÷ÀþÏ©¤Î²áÅϲòÀÏ |
| Ãø¼Ô | *ÅÏîµ µ®Ç·(ÀŲ¬¸©Î©Âç³Ø·Ð±Ä¾ðÊó³ØÉô), ¼»³ ÉÒÉ×(¥½¥Ë¡¼³ô¼°²ñ¼Ò) |
| Page | pp. 51 - 56 |
| Keyword | ÅÁÁ÷ÀþÏ©, ¥·¥°¥Ê¥ë¥¤¥ó¥Æ¥°¥ê¥Æ¥£, CIPË¡, ²óÏ©¥·¥ß¥å¥ì¡¼¥·¥ç¥ó |
| Abstract | ËÜÏÀʸ¤Ç¤Ï¡¢CIP(Constrained Interpolation Profile)Ë¡¤ò¿ƳÂÎÍ»¼ºÅÁÁ÷ÀþÏ©¤Î²áÅϲòÀϤËŬÍѤ·¤¿·ë²Ì¤Ë¤Ä¤¤¤Æ¡¢¤½¤Î²òÀÏÀºÅ٤ˤĤ¤¤Æ¹Í»¡¤¹¤ë¡£ÅÁÁ÷ÀþÏ©¤òÇÈÆ°ÊýÄø¼°¤Ë´ð¤Å¤¤¤ÆÄê¼°²½¤·¤¿¾ì¹ç¡¢°Üή¹à¤Î¼è¤ê°·¤¤¤¬²ò¤ÎÀºÅÙ¤ËÂ礤¯±Æ¶Á¤¹¤ë¡£1¼¡¤ÎÉ÷¾åº¹Ê¬¤ËÈæ³Ó¤·¤Æ3¼¡ÀºÅÙ¤ò»ý¤ÄCIPË¡¤òŬÍѤ·¤¿¾ì¹ç¡¢ÅÁÈÂÇÈ·Á¤Î¥×¥í¥Õ¥¡¥¤¥ë¤¬ÀºÅ٤褯ÊÝ»ý¤µ¤ì¤ë¤³¤È¤ò¼¨¤¹¡£¤Þ¤¿¡¢Ã±°ìƳÂηϤËÈæ³Ó¤·¤ÆÂ¿Æ³ÂηϤβòÀϤˤª¤¤¤Æ¡¢¤è¤êCIPË¡¤ÎŬÍѤ¬Í¸ú¤Ç¤¢¤ë¤³¤È¤ò¼¨¤¹¡£ |
| Âê̾ | (¾·ÂÔ)¥Ò¥È±¿Æ°À©¸æ¤Î·×»»ÏÀŪ¥¢¥×¥í¡¼¥Á¤«¤éBMI¤Ø |
| Ãø¼Ô | *ÏÂÅÄ °Â¹°(Ĺ²¬µ»½Ñ²Ê³ØÂç³Ø¹©³ØÉôÅŵ¤·Ï) |
| Page | pp. 57 - 62 |
| Keyword | ¥Ò¥ÈÏÓ±¿Æ°À©¸æ, ·×»»ÏÀŪ¥¢¥×¥í¡¼¥Á, BMI |
| Abstract | ËܹƤǤϡ¤¤³¤ì¤Þ¤Ç²æ¡¹¤¬¹Ô¤Ã¤Æ¤¤¿¥Ò¥ÈÏÓ±¿Æ°À©¸æ¤Ë¤ª¤±¤ëµ°Æ»·×²è¤Ë´Ø¤¹¤ë·×»»ÏÀŪ¥¢¥×¥í¡¼¥Á¤Î³µÍס¤NIRS¤ò»È¤Ã¤¿BMI¥·¥¹¥Æ¥à¤Î¹½ÃÛÎ㡤¤ª¤è¤Ó¤³¤ì¤é¤òƧ¤Þ¤¨¤Æ¤Î²æ¡¹¤Î¸¦µæ·×²è¤Ë¤Ä¤¤¤ÆÊó¹ð¤¹¤ë¡¥ |
| Âê̾ | ²¾Á۴ĶÆâ³Ø½¬¥·¥¹¥Æ¥à¤òÍѤ¤¤¿¼Â¶õ´Ö¤Î¥í¥Ü¥Ã¥È¤Î¥¿¥¹¥¯³Ø½¬ |
| Ãø¼Ô | *·ªËÜ ·ò°ì(Ĺ²¬µ»½Ñ²Ê³ØÂç³Ø), ¿ù»³ ¹¸°ì(Åì¼Ç¥Æ¥Ã¥¯¡Ê³ô¡Ë), ÄÚº¬ Àµ, ÏÂÅÄ °Â¹°(Ĺ²¬µ»½Ñ²Ê³ØÂç³Ø) |
| Page | pp. 63 - 68 |
| Keyword | ²¾Á۴Ķ, ³Ø½¬À©¸æ, ¶¯²½³Ø½¬, ¥í¥Ü¥Æ¥£¥¯¥¹, ÅÝΩ¿¶»Ò |
| Abstract | ¶¯²½³Ø½¬¤Ï¥í¥Ü¥Ã¥È¤¬¼«¤é»î¹Ôºø¸í¤·¤ÆÀ©¸æÂ§¤ò³ÍÆÀ¤¹¤ë³Ø½¬¼êË¡¤È¤·¤ÆÃíÌܤµ¤ì¤Æ¤¤¤ë¡¥ ¤·¤«¤·¡¤¼ÂÍÑŪ¤Ë¤ÏËþ¤ʥ¿¥¹¥¯Æ°ºî¤òÆÀ¤ë¤Þ¤Ç¤ÎËÄÂç¤Ê³Ø½¬²ó¿ô¤òɬÍפȤ¹¤ëÅù¡¤¥í¥Ü¥Ã¥È¤Ë»î¹Ôºø¸íŪ³Ø½¬¤ò¼Â¶õ´Ö¤Ç¹Ô¤ï¤»¤ë¤³¤È¤Ïº¤Æñ¤Ç¤¢¤ë¾ì¹ç¤¬Â¿¤¤¡¥ ËÜÏÀʸ¤Ç¤Ï¤³¤ÎÌäÂê¤ËÂн褹¤ë¤¿¤á¤Ë¡¤¼Â¶õ´Ö¤Î¥í¥Ü¥Ã¥È¤Ë²¾ÁÛ¶õ´ÖÆâ¤ËÍѰդµ¤ì¤¿ÂоݤòÁàºî¤·¤Æ¥¿¥¹¥¯Æ°ºî¤ò³Ø½¬¡¦³ÍÆÀ¤µ¤»¡¤²¾ÁÛ¶õ´Ö¤Ç¤Î³Ø½¬¸å¤Ë¼Â¶õ´Ö¤Ø°Ü¹Ô¤µ¤»¤ë¥·¥¹¥Æ¥à¤òÄ󰯤¹¤ë¡¥ ¼Â¶õ´Ö¤Î¥í¥Ü¥Ã¥È¤¬ÆþÎϥǥХ¤¥¹¤òÄ̤·¤Æ²¾ÁÛ¶õ´ÖÆâ¤Î¥¿¥¹¥¯¤ò³ÍÆÀ²Äǽ¤Ç¤¢¤ë¤³¤È¤òÅÝΩ¿¶»ÒÀ©¸æ¤òÎã¤Ë¼¨¤¹¡¥ ¤Þ¤¿¡¤²¾ÁÛ¶õ´ÖÍøÍѤ¬¼Â¶õ´Ö¤Ç¤Î¥í¥Ü¥Ã¥È¤Î¼Â¥¿¥¹¥¯³ÍÆÀ¤Î¤¿¤á¤Î͸ú¤Ê¼êÃʤǤ¢¤ë¤³¤È¤ò¼¨¤¹¡¥ |
| Âê̾ | ²¾ÁÛÇ´¶Ý¥â¥Ç¥ë¤Ë¤è¤ëÌÂϩõº÷¥»¥ë¥ª¡¼¥È¥Þ¥È¥ó¤Î¸¡Æ¤ |
| Ãø¼Ô | *ËÌÆâ ͪ²ð, ÃÓÊÕ ¾Ç·(Ë̳¤Æ»Âç³Ø Âç³Ø±¡¾ðÊó²Ê³Ø¸¦µæ²Ê) |
| Page | pp. 69 - 73 |
| Keyword | ¥»¥ë¥ª¡¼¥È¥Þ¥È¥ó, ÌÂϩõº÷, ²¾ÁÛÇ´¶Ý, ¥È¥Ý¥í¥¸¡¼ |
| Abstract | Ëܸ¦µæ¤ÎÌÜŪ¤Ï,Èó¥Î¥¤¥Þ¥ó·¿¥¢¡¼¥¥Æ¥¯¥Á¥ã¤Ç¤¢¤ë¥»¥ë¥ª¡¼¥È¥Þ¥È¥ó¤òÍѤ¤¤Æ,À¸ÂÖŪ¤Êưºî¤òÁȤ߹þ¤ßÌÂϩõº÷¤ò¸úΨ¤è¤¯¹Ô¤¦¥¢¥ë¥´¥ê¥º¥à¤ò³«È¯¤¹¤ë¤³¤È¤Ç¤¢¤ë¡¥¥»¥ë¥ª¡¼¥È¥Þ¥È¥ó¤Ï,ÊÂÎóʬ»¶·Ï¤Î¥¢¡¼¥¥Æ¥¯¥Á¥ã¤Ç¤¢¤ê,Áê¸ßºîÍѤò¹Ô¤¦Ã±°Ì¥»¥ë¤¬µ¬Â§Åª¤Ëʤó¤À¹½Â¤¤ò»ý¤Ã¤Æ¤¤¤ë.ŬÀÚ¤ÊÁê¸ßºîÍѥ롼¥ë¡Ê¥¢¥ë¥´¥ê¥º¥à¡Ë¤òÀßÄꤹ¤ë¤³¤È¤Ç,ÍÍ¡¹¤Ê¶õ´Ö¥Ñ¥¿¡¼¥ó¤òÀ¸À®¤¹¤ë¤³¤È¤¬¤Ç¤¤ë. Ëܸ¦µæ¤Ç¤Ï¤Þ¤º,¥»¥ë¥ª¡¼¥È¥Þ¥È¥ó¤Ë¥È¥Ý¥í¥¸¡¼Êݸ½èÍý¤òŬ¹ç¤µ¤»¤ë.¼¡¤Ë¾åµ½èÍý¥¢¥ë¥´¥ê¥º¥à¤ò²þÎɤ·¤Æ,Ç´¶Ý¤Î¤è¤¦¤ÊÀ¸ÂÎÌϵ¼¤ò¥»¥ë¥ª¡¼¥È¥Þ¥È¥ó¤Ç¹Ô¤¤,ÌÂÏ©¤ÎºÇû·Ðϩõº÷¥¢¥ë¥´¥ê¥º¥à¤Î¼Â¸½¤òÌܻؤ¹.¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤ê5¾õÂ֤ΤߤÇÌÂÏ©¾å¤ÎºÇû·Ðϩõº÷¤¬²Äǽ¤Ç¤¢¤ë¤³¤È¤ò³Îǧ¤·¤¿¡¥ |
| Âê̾ | Parameter Determination of a Compartmental Model for Parkinson's disease by Algebraic approach |
| Ãø¼Ô | *µÈÅÄ ´²(¶å½£Âç³Ø ¿ôÍý³Ø¸¦µæ±¡ ¹âÅù¸¦µæµ¡¹½), ·ê°æ ¹¨ÏÂ(ÉÙ»ÎÄ̸¦µæ½ê¡Ê³ô¡Ë/CREST JST.), ËÙËÜ ¾¡µ×(»º¶Èµ»½ÑÁí¹ç¸¦µæ½ê À¸Ì¿¾ðÊ󹩳إ»¥ó¥¿) |
| Page | pp. 75 - 80 |
| Keyword | Compartmental models, Groebner base, Parkinson's disease, Without blood sampling, Symbolic computation |
| Abstract | The mechanism of Parkinson's disease can be investigated at the molecular level by using radiotracers. The concentration of dopamine in the brain can be observed by using a radiotracer, and the dopamine kinetics can be described as compartmental models --- network of compartments interconnected by physiology-describing arrows --- for tissues of the brain. The models for dopamine kinetics are solved explicitly, but the solution shows a complicated form including several convolutions over time domain. Owing to the complicated form of the solution, some kinetic constants have been estimated under various assumptions and only a limited set of parameters have approximately been estimated. We have analysed the compartmental models by using the Laplace transformation of differential equations and by algebraic computation with the aid of Groebner base constructions. We have obtained a rigorous solution with respect to the kinetic constants over Laplace domain. Such a analysis over Laplace domain will shed some light on more complex compartmental models. |
| Âê̾ | RF¥µ¥ó¥×¥ê¥ó¥°Ï¢Â³»þ´Ö¥Ð¥ó¥É¥Ñ¥¹¦¤¦²ÊÑÄ´´ï¤ÎÀß·×ÏÀ |
| Ãø¼Ô | *¸µß· ÆÆ»Ë, À¶¿å °ìÌé, ¾å¿¹ ¾Ê¸(·²ÇÏÂç³Ø¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê), ¥í¥ì ¥Ñ¥¹¥«¥ë(¥·¥ã¡¼¥×³ô¼°²ñ¼Ò), ¹â¶¶ Íβð(·²ÇÏÂç³Ø¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê), ÈÓÄÍ Ë®É§(¥·¥ã¡¼¥×³ô¼°²ñ¼Ò), ¾®ÎÓ ½ÕÉ×, »± Úß, ¹â°æ ¿ÏÂ(·²ÇÏÂç³Ø¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê), ²¬ËÜ Ä¾¼ù, À¾ÅÄ ½¤Â¤(¥·¥ã¡¼¥×³ô¼°²ñ¼Ò) |
| Page | pp. 81 - 86 |
| Keyword | RF ¥µ¥ó¥×¥ê¥ó¥°, ¥½¥Õ¥È¥¦¥§¥¢ÌµÀþ, ¥Ð¥ó¥É¥Ñ¥¹, Ϣ³»þ´Ö¦¤¦²ÊÑÄ´´ï, RF DAC |
| Abstract | ¤³¤ÎÏÀʸ¤Ç¤ÏRF ¿®¹æ¤òľÀÜ¥µ¥ó¥×¥ê¥ó¥°¤¹¤ëÏ¢ ³»þ´Ö¥Ð¥ó¥É¥Ñ¥¹¦¤¦²ADÊÑÄ´´ï¤ÎÀß·×ÏÀ¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë. (i) Àè¤ËÄ󰯤·¤¿RF DAC ¤òÍѤ¤¤¿¥µ¥Ö¥µ¥ó¥×¥ê¥ó¥°£² ¼¡Ï¢Â³»þ´Ö¥Ð¥ó¥É¥Ñ¥¹¦¤¦²ADÊÑÄ´´ï¤ò½êÄê¤Î¿®¹æÅÁã´Ø ¿ô, ¥Î¥¤¥ºÅÁã´Ø¿ô¤Ë¤Ê¤ë¤¿¤á¤ÎÆâÉô¥Ñ¥é¥á¡¼¥¿ÃͤÎÀß·× Ë¡¤òƳ½Ð¤·¤¿. (ii) Ϣ³»þ´ÖùôÊÑÄ´´ï¤Ç¤ÏÆâÉôADC ¤Î ½ÐÎÏ¤ÈÆâÉôDAC ¤Î½ÐÎϤδ֤Υ롼¥×ÃÙ±ä¤Ë¤è¤êAD ÊÑ Ä´´ïÁ´ÂΤÎÀºÅÙ¤¬Îô²½¤¹¤ë¤¬, ¤³¤ÎÌäÂê¤ò·Ú¸º¤¹¤ë¤¿¤á¤Ë ¥ë¡¼¥×ÃÙ±ä¤ò¥¿¥¤¥à¥Ç¥¸¥¿¥¤¥¶¤Ç¬Äꤷ, ¤½¤ÎÃͤ˴ð¤Å¤ ¥Ñ¥é¥á¡¼¥¿ÃͤòÄ´À°¤¹¤ë¼êË¡¤òÄ󰯤·¤¿. ¤³¤ì¤é¤Î͸úÀ ¤òMATLAB ¤Î¤è¤ë¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ç³Îǧ¤·¤¿. |
| Âê̾ | ¥Ï¡¼¥â¥Ë¥Ã¥¯¥ß¥¥µµ¡Ç½¤òͤ¹¤ë¦¤¦²ADC¤Î¸¡Æ¤ |
| Ãø¼Ô | *Ìøß· ·Ã»°(Ë¡À¯Âç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê), °ÂÅÄ ¾´(Ë¡À¯Âç³Ø), »³Ãæ Íβð, ¾ï¸« ÂîÌé(Ë¡À¯Âç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê) |
| Page | pp. 87 - 92 |
| Keyword | ¥Ï¡¼¥â¥Ë¥Ã¥¯¥ß¥¥µ, Ϣ³»þ´Ö¦¤¦²ÊÑÄ´´ï |
| Abstract | ¤³¤ÎÏÀʸ¤Ç¤Ï¡¢¹â¼þÇȤòľÀÜADÊÑ´¹¤¹¤ë¤¿¤á¤Î²óÏ©¹½À®¤òÄ󰯤¹¤ë¡£¥Ï¡¼¥â¥Ë¥Ã¥¯¥ß¥¥µ¡¢Ï¢Â³»þ´Ö¦¤¦²ÊÑÄ´´ï¡¢¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿¤È¤¤¤¦²óÏ©¹½À®¤ÇADÊÑ´¹¤ò¹Ô¤¦¡£¤³¤Î¤è¤¦¤Ê¹½À®¤Ç¡¢¥Ï¡¼¥â¥Ë¥Ã¥¯¥ß¥¥µ½ÐÎϤιâÄ´ÇÈÀ®Ê¬¤Ï¡¢Ï¢Â³»þ´Ö¦¤¦²ÊÑÄ´´ï¤Î¥¢¥ó¥Á¥¨¥¤¥ê¥¢¥·¥ó¥°ÆÃÀ¤Ë¤è¤êÂÓ°è³°¤Ë¥·¥Õ¥È¤¹¤ë¡£¤³¤ì¤Ë¤è¤ê¼þÇÈ¿ôÊÑ´¹¸å¤ËµÞ½Ô¤ÊÆÃÀ¤Î¥¢¥Ê¥í¥°¥Õ¥£¥ë¥¿¤òÍѤ¤¤ë¤³¤È¤Ê¤¯¹â¼þÇȤÎADÊÑ´¹¤¬²Äǽ¤È¤Ê¤ë¡£¤³¤ì¤òMATLAB¤Î¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤ê³Îǧ¤·¤¿¡£¤·¤«¤·¡¢Ï¢Â³»þ´Ö¦¤¦²´ï¤Ï¡¢¥¯¥í¥Ã¥¯¥¸¥Ã¥¿¤ËÉÒ´¶¤Ç¤¢¤ë¡£¤½¤³¤Ç¦¤¦²ADC¤Ë¤ª¤±¤ë¥¯¥í¥Ã¥¯¥¸¥Ã¥¿¤Î±Æ¶Á¤òÄ㸺¤¹¤ë¤¿¤á¡¢½éÃʤÎÀÑʬ´ï¤ØÆþÎϤµ¤ì¤ë¥¢¥Ê¥í¥°¿®¹æ¤ò½ÐÎϤ¹¤ëDAC¤ÎľÁ°¤ËLPF¤òÁÞÆþ¤·¡¢ÆâÉôDAC¤Î¥¯¥í¥Ã¥¯¥¸¥Ã¥¿¤Î±Æ¶Á¤òÄ㸺¤Ç¤¤ë¥ë¡¼¥×¹½À®¤ò»ý¤Ä¦¤¦²ÊÑÄ´´ï¤ò¹Í°Æ¤·¤¿¡£ ËÜÏÀʸ¤Ç¤Ï¡¢ÁêÂÐŪ¤Ê¥·¥¹¥Æ¥à¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤ò¹Ô¤¦¤¬¡¢²¾¤Ë¥¯¥í¥Ã¥¯¤ò400MHz¡¢ÂÓ°è¤ò1.5MHz¡¢¥¯¥í¥Ã¥¯¥¸¥Ã¥¿0¡Á0.1¡ó¤Î¤È¤¡¢¥Ô¡¼¥¯SNR¤¬107dB¤òãÀ®¤·¤¿¤³¤È¤ò¼¨¤¹¡£ |
| Âê̾ | 2¼¡¦¤¦²ADÊÑÄ´´ï¤Î¿·¥Õ¥£¡¼¥É¥Õ¥©¥ï¡¼¥É¹½À®¤ÎÄó°Æ |
| Ãø¼Ô | *¾®Ä¹Ã« È¥, »± Úß, ½ù Êö, ¸µß· ÆÆ»Ë, ¾®ÎÓ ½ÕÉ×(·²ÇÏÂç³Ø Åŵ¤ÅŻҹ©³Ø²Ê), °ÂÆ£ ÏÂÀµ, µÈÅÄ Çî»Ë, ¼»³ ÃλٿÍ(Åì¼ÇLSI¥·¥¹¥Æ¥à¥µ¥Ý¡¼¥È(³ô)) |
| Page | pp. 93 - 98 |
| Keyword | ¦¤¦²AD ÊÑÄ´´ï, ¥Õ¥£¡¼¥É¥Õ¥©¥ï¡¼¥É, ¥¹¥¤¥Ã¥Á¥É¡¦¥¥ã¥Ñ¥·¥¿²óÏ©, ¥Þ¥ë¥Á¥Ó¥Ã¥È |
| Abstract | ¤³¤ÎÏÀʸ¤Ç¤Ï¥Õ¥£¡¼¥É¥Õ¥©¥ï¡¼¥É·¿Î¥»¶»þ´Ö2¼¡¦¤¦²ADÊÑÄ´´ï¤Î¿·¤·¤¤¹½À®Ë¡¤òÄ󰯤¹¤ë¡£¦¤¦²ADÊÑÄ´´ï¤Ï¥ª¡¼¥Ð¡¼¥µ¥ó¥×¥ê¥ó¥°¤È¥Î¥¤¥º¥·¥§¡¼¥×¼êË¡¤Ç¹âÀºÅÙ¤ÎADÊÑ´¹¤ò¼Â¸½¤¹¤ë¤¬¡¢¤½¤ÎÁ´ÂÎÀǽ (SNDR : Signal-to-Noise and Distotion Ratio) ¤ÏÆþÎÏ¿®¹æ¥À¥¤¥Ê¥ß¥Ã¥¯¥ì¥ó¥¸¤È³Æ¥Ö¥í¥Ã¥¯²óÏ©¤ÎÈóÍýÁÛŪ¤ÊÀ¼Á(ÆÃ¤Ë¥ª¥Ú¥¢¥ó¥×²óÏ©¤ÎÏÄÆÃÀ) ¤Ë¤è¤Ã¤ÆÀ©¸Â¤µ¤ì¤ë¡£½¾Íè¼°¤Î¥Õ¥£¡¼¥É¥Ð¥Ã¥¯·¿¦¤¦²ADÊÑÄ´´ï¤ËÈæ¤Ù¡¢¥Õ¥£¡¼¥É¥Õ¥©¥ï¡¼¥É·¿¦¤¦²ADÊÑÄ´´ï¤Ç¤Ï¡¢ÊÑÄ´´ïÆâÉô¿®¹æ¤Î¿¶Éý¤¬¾®¤µ¤¤¤¿¤á¡¢ÆþÎÏ¿®¹æ¤Î¥À¥¤¥Ê¥ß¥Ã¥¯¥ì¥ó¥¸¤òÂ礤¯¤Ç¤¡¢¥ª¥Ú¥¢¥ó¥×¤ÎÏĤˤè¤ëÊÑÄ´´ï¤ÎÀǽÎô²½¤¬·Ú¸º¤Ç¤¤ë¡£¤·¤«¤·¤Ê¤¬¤é¡¢½¾Íè¤Î¥Õ¥£¡¼¥É¥Õ¥©¥ï¡¼¥É·¿¦¤¦²ADÊÑÄ´´ïÆâ Éô¤Ç¤Ï¡¢Èæ³Ó´ï²óÏ©¤ÇADÊÑ´¹¤ò¹Ô¤Ê¤¦Á°¤Ë¡¢ÊÑÄ´´ï¤ÎÆþÎÏÅ۵¤È³ÆÀÑʬ´ï¤Î½ÐÎÏÅ۵¤ò²Ã»»¤¹¤ëɬÍפ¬¤¢¤ë¡£¤½¤Î±é»»¤ò¹Ô¤Ê¤¦¤¿¤á¡¢¥¹¥¤¥Ã¥Á¥É¡¦¥¥ã¥Ñ¥·¥¿¤È¥ª¥Ú¥¢¥ó¥×²óÏ©¤òÄɲ乤ëɬÍפ¬¤¢¤ê¡¢¥Á¥Ã¥×ÌÌÀѤȾÃÈñÅÅÎϤ¬Áý²Ã¤¹¤ë¡£¤½¤³¤Ç¡¢ËÜÏÀʸ¤Ç¤ÏÅ۵²Ã»»ÍÑ¥ª¥Ú¥¢¥ó¥×¤ÏɬÍפȤ·¤Ê¤¤¡¢¥Õ¥£¡¼¥É¥Õ¥©¥ï¡¼¥É·¿¦¤¦²ADÊÑÄ´´ï¤Î¹½À®Ë¡¤È¤½¤Î²óÏ©¼Â¸½¼êË¡¤òÄ󰯤·¡¢¤è¤ê¾®ÌÌÀÑ¡¦Äã¾ÃÈñÅÅÎϤΦ¤¦²ADÊÑÄ´´ï¤Î¼Â¸½¤ò²Äǽ¤Ë¤·¤¿¡£MATLAB ¤ÈSPICE ¤Ë¤è¤ë¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤ÇÄ󰯼êË¡¤Î͸úÀ¤ò³Îǧ¤·¤¿¡£ |
| Âê̾ | A Fast Lock Phase-Locked Loop with a Continuous-Time Phase Frequency Detector |
| Ãø¼Ô | *Jun Pan, Yasuaki Inoue(Graduate School of Information, Production and Systems, Waseda University) |
| Page | pp. 99 - 103 |
| Keyword | PLL, fast locking, continuous-time, PFD |
| Abstract | A continuous-time phase frequency detector (PFD) based on the conventional tri-state PFD is proposed for fast lock charge pump phase-locked loops (CPPLLs) in this paper. The locking time of the PLL can be substantially reduced with the proposed continuous-time architecture. During the period that the best tracing and acquisition properties are required, the bandwidth of the PLL can be increased to decrease the locking time with the proposed continuous-time PFD. Afterwards, the bandwidth of the PLL is recovered to the original value to minimize output jitter due to external noise. Any conventional tri-state PFDs can be improved with the proposed continuous-time architecture. The proposed architecture is realized in a standard CMOS 0.35 um technology. The simulation results demonstrate that the proposed continuous-time PFD is effective to get more speedy locking time. |
| Âê̾ | Stability Analysis of Nonlinear Feedback Circuits |
| Ãø¼Ô | *Zhangcai Huang, Fayan Wang, Shuai Fang, Xuetao Sun, Yasuaki Inoue(Waseda University) |
| Page | pp. 105 - 110 |
| Keyword | nonlinear circuits, feedback |
| Abstract | In this paper the stability analysis of nonlinear feedback circuits is presented. By analyzing the influence of dominant pole of feedback path on the frequency response of feedback circuits, the suitable locations of the dominant pole are proposed for different feedback path gain. Also several design criteria are given to keep the nonlinear feedback circuit stable. Moreover, the experimental results of several nonlinear feedback circuits show that the proposed criteria can improve the stability of feedback circuits very well. |
| Âê̾ | ¥á¥¥·¥«¥ó¥Ï¥Ã¥È·¿¤Î»þ´ÖÁë¤ò¼¨¤¹¥¢¥Ê¥í¥°²óÏ©¥â¥Ç¥ë¤Î¹½ÃÛ |
| Ãø¼Ô | *À¶¿å μ(ÆüËÜÂç³Ø Íý¹©³ØÉô ÅŻҾðÊ󹩳زÊ), ÎÓ Í´¸ã(ÆüËÜÂç³Ø Íý¹©³Ø¸¦µæ²Ê ÅŻҹ©³ØÀì¹¶), º´Çì ¾¡ÉÒ, ´Øº¬ ¹¥Ê¸(ÆüËÜÂç³Ø Íý¹©³ØÉô ÅŻҾðÊ󹩳زÊ) |
| Page | pp. 111 - 115 |
| Keyword | STDP, Ĺ´üÁý¶¯, Ĺ´üÍÞ°µ, ¥á¥¥·¥«¥ó¥Ï¥Ã¥È·¿, »þ´ÖÁë |
| Abstract | ¡¡¥·¥Ê¥×¥¹²ÄÁºÀ¤Ë¤ª¤±¤ëĹ´üÁý¶¯(LTP)¤äĹ´üÍÞ°µ(LTD)¤Ï¡¤Ç¾¤Îµ²±¡¦³Ø½¬¤È¤¤¤Ã¤¿µ¡Ç½¤Î´ðÁòáÄø¤È¤µ¤ì¤Æ¤¤¤ë¡£ ¡¡¶áǯ¡¤À¸ÂΤˤª¤¤¤Æ¥·¥Ê¥×¥¹Á°¸å¤Î¥Ë¥å¡¼¥í¥ó¤Î¥¹¥Ñ¥¤¥¯¤Î»þ´Öº¹¤Ë°Í¸¤·¤¿¥·¥Ê¥×¥¹²ÄÁºÀ(STDP)¤Î¸ºß¤¬Êó¹ð¤µ¤ì¤Æ¤¤¤ë¡£Ãæ¤Ç¤â¡¤¥·¥Ê¥×¥¹Á°È¯²Ð¤ÇĹ´üÁý¶¯¤Îµ¯¤³¤ë»þ´ÖÎΰè¤Î¸å¤ËĹ´üÍÞ°µ¤Îµ¯¤³¤ëÎΰ褬¸ºß¤¹¤ë¥á¥¥·¥«¥ó¥Ï¥Ã¥È·¿¤Î»þ´ÖÁ뤬Êó¹ð¤µ¤ì¤Æ¤¤¤ë¡£ ¡¡ËܹƤϡ¤¥·¥Ê¥×¥¹Á°È¯²Ð¤ÇĹ´üÁý¶¯¤Îµ¯¤³¤ë»þ´ÖÎΰè¤Î¸å¤ËĹ´üÍÞ°µ¤Îµ¯¤³¤ë»þ´ÖÎΰ褬¸ºß¤¹¤ë¥·¥Ê¥×¥¹²ÄÁºÀ¤ËÃåÌܤ·¡¤¹©³ØÅª±þÍѤòÌÜŪ¤Ë¡¤¥á¥¥·¥«¥ó¥Ï¥Ã¥È·¿¤Î»þ´ÖÁë¤ò¼¨¤¹¥¢¥Ê¥í¥°²óÏ©¥â¥Ç¥ë¤Î¹½ÃۤˤĤ¤¤Æ¸¡Æ¤¤ò¹Ô¤Ã¤¿¤â¤Î¤Ç¤¢¤ë¡£ |
| Âê̾ | A High-Precision Strain-Measurement Bridge Circuit System with On-line Digital Calibration |
| Ãø¼Ô | *Masashi Kono, Tetsuya Taura, Takahide Suzuki, Hiroshi Sunaga, Yoshihisa Yamada, Keigo Kimura(Electronic Engineering Department, Gunma University), Masanao Morimura(Consultant), Haruki Okano, Masami Iwazaki, Hiroyuki Takuno, Mitsumasa Suzuki, Yukio Shinoda(Tokyo Sokki Kenkyujo Co., Ltd.), Haruo Kobayashi(Electronic Engineering Department, Gunma University) |
| Page | pp. 117 - 122 |
| Keyword | Strain Measurement, Strain Gauge, Bridge Circuit, Calibration |
| Abstract | This paper describes high-precision dynamic strain measurement bridge circuits with on-line calibration of parasitic capacitance effects. The proposed calibration system is very reliable and robust against temperature change because most of the calibration is done in digital domain. |
| Âê̾ | (¾·ÂÔ)¥½¥Õ¥È¥¦¥¨¥¢ÌµÀþµ»½Ñ¤Î´ðÁà |
| Ãø¼Ô | *¹ÓÌÚ ½ãÆ»(Åìµþ¹©¶ÈÂç³Ø) |
| Page | pp. 123 - 124 |
| Keyword | SDR, ¥Þ¥ë¥Á¥Ð¥ó¥É, ¥Þ¥ë¥Á¥â¡¼¥É, ¥Þ¥ë¥Á¥µ¡¼¥Ó¥¹ |
| Abstract | ¥½¥Õ¥È¥¦¥¨¥¢ÌµÀþµ¡¤ò¼Â¸½¤¹¤ë¾å¤Ç¤Îµ»½Ñ²ÝÂê¤ò̵Àþµ¡¤Î´ðËܵ¡Ç½¤Ç¤¢¤ëÊÑÉüÄ´¡¢È¯¿¶¡¢¼þÇÈ¿ôÊÑ´¹¡¢ÁýÉý¡¢¥Õ¥£¥ë¥¿¥ê¥ó¥°¡¢Êü¼Í¡¦¼õ¿®¤Î³Æ¹àÌܤËÂФ·¤Æ³µ´Ñ¤·¡¢²óÏ©À߷פÎÌÜɸ¤òÄ󼨤¹¤ë¡£ ÆÃ¤Ë½¾Íè¤Î̵Àþµ¡À߷פȤÎÁê°ãÅÀ¤ò»ØÅ¦¤·¡¢¥½¥Õ¥È¥¦¥¨¥¢ÌµÀþµ¡¤Ë¤è¤Ã¤Æ¤â¤¿¤é¤µ¤ì¤ë¿·¤¿¤Ê̵ÀþÄÌ¿®¥Í¥Ã¥È¥ï¡¼¥¯¹½À®¤Ë¤â¸ÀµÚ¤¹¤ë¡£ |
| Âê̾ | (¾·ÂÔ)¥½¥Õ¥È¥¦¥§¥¢ÌµÀþ¤ò»Ø¸þ¤·¤¿¿®¹æ½èÍý¤È̵Àþµ¡¹½À® |
| Ãø¼Ô | *ÎëÌÚ ¹¯É×(ÅìµþÇÀ¹©Âç³Ø ¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê), Äḫ Çî»Ë((³ô)Åì¼Ç) |
| Page | pp. 125 - 130 |
| Keyword | ¥À¥¤¥ì¥¯¥È¥³¥ó¥Ð¡¼¥¸¥ç¥ó, ¥¹¡¼¥Ñ¡¼¥Ø¥Æ¥í¥À¥¤¥ó, ¥½¥Õ¥È¥¦¥¨¥¢ÌµÀþ, PHS, Àþ·ÁÊÑÄ´ |
| Abstract | ¡¡ÌµÀþµ¡¤Î¾®·Á²½¡¢Äã²Á³Ê²½¤Î´ÑÅÀ¤«¤é¡¢¥À¥¤¥ì¥¯¥È¥³¥ó¥Ð¡¼¥¸¥ç¥óÊý¼°¤ËÃåÌܤ·¡¢½¾Íè¤Î¥Ø¥Æ¥í¥À¥¤¥óÊý¼°¤È¤Î¥È¥ì¡¼¥É¥ª¥Õ¤ò¹Ô¤¦¡£¼¡¤Ë¡¢¥À¥¤¥ì¥¯¥È¥³¥ó¥Ð¡¼¥¸¥ç¥óÊý¼°¤òÀþ·ÁÊÑÄ´¤ËŬÍѤ·¤¿¾ì¹ç¤Î²ÝÂê¤ÈÂкö¤òÀ°Íý¤·¡¢PHS¤Ø¤ÎŬÍÑÎã¤ò¼¨¤¹¡£ºÇ¸å¤Ë¡¢¥½¥Õ¥È¥¦¥§¥¢ÌµÀþµ¡¤È¥Þ¥ë¥Á¥â¡¼¥É̵Àþµ¡¤Î°ã¤¤¤òÀâÌÀ¤·¡¢¥À¥¤¥ì¥¯¥È¥³¥ó¥Ð¡¼¥¸¥ç¥óÊý¼°¤¬¥½¥Õ¥È¥¦¥§¥¢ÌµÀþµ¡¤Ë¸þ¤¤¤Æ¤¤¤ë¤³¤È¤ò¼¨¤¹¡£ |
| Âê̾ | (¾·ÂÔ)¥ê¥³¥ó¥Õ¥£¥®¥å¥é¥Ö¥ëRF²óÏ©µ»½Ñ¤Î¸¦µæ |
| Ãø¼Ô | *±× °ìºÈ, ²¬ÅÄ ·ò°ì(Åìµþ¹©¶ÈÂç³Ø) |
| Page | pp. 131 - 135 |
| Keyword | RF CMOS, ŽØŽºŽÝŽÌލޏŽÞŽ×ŽÌŽÞŽÙ, VCO |
| Abstract | ¥ï¥¤¥ä¥ì¥¹µ»½Ñ¤ÎµÞ®¤Ê¿Ê²½¤È¤È¤â¤Ë¡¢¿ôÉ´MHz¤«¤é¿ôGHz¤Ë¤ª¤¤¤Æ¡¢¥Ç¥¸¥¿¥ëTV¡¢·ÈÂÓÅÅÏá¢LAN¤Ê¤ÉÍÍ¡¹¤Ê¥ï¥¤¥ä¥ì¥¹µ¬³Ê¤¬º®ºß¤·¤Æ¤¤¤ë¡£Ä̾ʣ¿ô¤Îµ¬³Ê¤ËÂбþ¤¹¤ë¾ì¹ç¡¢Ê£¿ô¤Î²óÏ©¤òÅëºÜ¤·¤Æ¤¤¤ë¡£Ã±°ì¤Î²óÏ©¤ÇÊ£¿ô¤Îµ¬³Ê¤ä°Û¤Ê¤ë¼þÇÈ¿ô¤ËÂбþ¤Ç¤¤ë¥Þ¥ë¥Á¥¹¥¿¥ó¥À¡¼¥É¡¿¥Þ¥ë¥Á¥â¡¼¥É̵Àþ²óÏ©¤Î³«È¯¤Ï´üÂԤι⤤µ»½ÑʬÌî¤Ç¤¢¤ë¡£ËܹƤǤϡ¢É®¼Ô¤é¤¬Ìܻؤ¹¥ê¥³¥ó¥Õ¥£¥°¥é¥Ö¥ëRF CMOS²óÏ©µ»½Ñ¤ÈºÇ¶á³«È¯¤·¤¿¹ÂÓ°èVCO¤ÎÀǽ¤Ë¤Ä¤¤¤Æ¾Ò²ð¤¹¤ë¡£ |
| Âê̾ | A High-speed Design of Montgomery Multiplier |
| Ãø¼Ô | *Yibo Fan, Takeshi Ikenaga, Satoshi Goto(Waseda University) |
| Page | pp. 137 - 142 |
| Keyword | Montgomery multiplier, rsa, high speed, scalable, high radix |
| Abstract | This paper proposes a high speed design of high radix Montgomery multiplier. There are three contributions in this paper: Firstly, in the algorithm level, a modified scalable Montgomery multiplication algorithm is proposed. Secondly, a novel pipeline data flow is used to reduce pipeline latency between stages. Thirdly, in order to reduce silicon area and power, a compact architecture for Montgomery multiplier is proposed. An ASIC implementation by using 0.25¦Ìm technology can perform 1024-bit RSA encryption with 352 kbps, and the frequency is 180 MHz, the area is about 130 k gates. |
| Âê̾ | ÃϾå¥Ç¥¸¥¿¥ë£Ô£ÖÊüÁ÷¤Ë¤ª¤±¤ë2DÊä´Ö¥Õ¥£¥ë¥¿¤òÍѤ¤¤¿ÅÁÁ÷Ï©¿äÄê¤Ë´Ø¤¹¤ë°ì¸¡Æ¤ |
| Ãø¼Ô | ºä¸ý Í´²ð, Ä¹Èø ͦʿ(¶å½£¹©¶ÈÂç³ØÂç³Ø±¡¾ðÊ󹩳ظ¦µæ²Ê¾ðÊó¥·¥¹¥Æ¥àÀì¹¶), *¹õºê Àµ¹Ô, ÈøÃÎ Çî(¶å½£¹©¶ÈÂç³Ø¾ðÊ󹩳ØÉôÅŻҾðÊ󹩳زÊ) |
| Page | pp. 143 - 148 |
| Keyword | ÃϾå¥Ç¥¸¥¿¥ëTVÊüÁ÷, 2¼¡¸µ¥Õ¥£¥ë¥¿, ÅÁÁ÷Ï©¿äÄê |
| Abstract | ËÜÏÀʸ¤Ç¤Ï¡¤É®¼Ô¤é¤¬Àè¤ËÄ󰯤·¤¿¡¤ÃϾå¥Ç¥¸¥¿¥ëTVÊüÁ÷¤Î°ÜưÂμõ¿®¤Ë¤ª¤±¤ë¡¤ÈóÀµÊýÄ̲á°è¤ò»ý¤ÄÈóʬΥ2¼¡¸µ¥Õ¥£¥ë¥¿¤òÍѤ¤¤ë¹âÀºÅÙ¤ÎÅÁÁ÷Ï©¿äÄêË¡¤Ë´Ø¤·¤Æ¡¤¥Á¥ã¥Í¥ëÊÑÆ°¤Ë´Ø¤¹¤ë¹Í»¡¤ò¹Ô¤¦¡¥Àè¤ËÄ󰯤·¤¿¥Õ¥£¥ë¥¿Àß·×¼êË¡¤Ï³Ê»Ò¤Î¤ß¤Ë°Í¸¤¹¤ë¤â¤Î¤Ç¤¢¤ë¤¬¡¤¥Á¥ã¥Í¥ëÊÑÆ°¤Ë±þ¤¸¤Æ¥Õ¥£¥ë¥¿Ä̲á°è¤òŬ±þŪ¤ËÊѹ¹¤¹¤ë¤³¤È¤Ë¤è¤ê¡¤¼õ¿®ÆÃÀ¤ò²þÁ±¤¹¤ë¤³¤È¤¬²Äǽ¤Ç¤¢¤ë¡¥·×»»µ¡¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤ê¤¤¤¯¤Ä¤«¤ÎÅÁÁ÷Ï©´Ä¶¤ÎÊѲ½¤ËÂФ¹¤ë¼õ¿®ÆÃÀ¤ÎÊѲ½¤òÌÀ¤é¤«¤Ë¤¹¤ë¡¥²Ã¤¨¤Æ¡¤´Ä¶¤ÎÊѲ½¤ËÂбþ¤·¤¿Å¬±þŪ¤Ê¥Õ¥£¥ë¥¿À߷פλؿˤò¼¨¤¹¡¥ |
| Âê̾ | ROI¥Þ¥¹¥¯¤òÍѤ¤¤¿JPEG2000¤Ë¤ª¤±¤ëROI¤Î²è¼ÁÀ©¸æ |
| Ãø¼Ô | *Ë̱º ²Å¹À, ÃæÀ¾ ¹î¾», Åï°Â ¼Â¼£(´ØÀ¾Âç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê) |
| Page | pp. 149 - 154 |
| Keyword | JPEG2000, ROI, ²è¼ÁÀ©¸æ, É乿²½´ï, ROI¥Þ¥¹¥¯ |
| Abstract | JPEG2000¤Ë¤Ï¡¤ROI¡ÊRegion of Interest¡Ë¤È¸Æ¤Ð¤ì¤ë¡¤²èÁü¤Î¶½Ì£Îΰè¤òÇØ·ÊÎΰè¤è¤ê¤âÍ¥À褷¤ÆÉ乿²½¤Ç¤¤ëµ¡Ç½¤¬¤¢¤ë¡¥¤·¤«¤·¡¤Äã¥Ó¥Ã¥È¥ì¡¼¥È°µ½Ì¤Î¾ì¹ç¡¤¶½Ì£Îΰè¤ÎÉ乿Î̤¬É乿¥Ç¡¼¥¿¤ÎÂçÉôʬ¤òÀê¤á¤Æ¤·¤Þ¤¦¤¿¤á¡¤ÇØ·ÊÎΰè¤Î²è¼Á¤¬Îô²½¤¹¤ë¡¥¤³¤ÎÌäÂê¤ò²ò·è¤·¡¤¶½Ì£Îΰè¤ÈÇØ·ÊÎΰè¤ÎÁêÂÐŪ¤Ê²è¼ÁÀ©¸æ¤ò²Äǽ¤È¤·¤¿¼êË¡¤¬¤¤¤¯¤Ä¤«Ä󰯤µ¤ì¤Æ¤¤¤ë¡¥¤·¤«¤·¡¤¤½¤ì¤é¤Ï¶½Ì£Îΰè¤ÈÇØ·Ê¤ÎÁêÂÐŪ¤Ê²è¼Á¤òºÙ¤«¤¯À©¸æ¤¹¤ë¤³¤È¤¬¤Ç¤¤Ê¤«¤Ã¤¿¡¥ËܹƤǤϡ¤¤³¤Î¶½Ì£Îΰè¤ÈÇØ·ÊÎΰè¤Î´Ö¤Î¤è¤êºÙ¤«¤Ê²è¼ÁÀ©¸æ¤ò¡¤É乿²½´ï¤ÎROI¥Þ¥¹¥¯¤òÍøÍѤ¹¤ë¤³¤È¤Ë¤è¤Ã¤Æ²Äǽ¤È¤·¤¿¼êË¡¤òÄ󰯤¹¤ë¡¥ |
| Âê̾ | ¥Õ¥ê¥Ã¥«¤È¥Ö¥í¥Ã¥Á¤Î±Æ¶Á¤ò¹Íθ¤·¤ÆºîÀ®¤·¤¿»²¾È²èÁü¤òÍѤ¤¤¿M¿äÄê¤Ë¤è¤ë¹â®¤Ê¥Õ¥ê¥Ã¥«¥Ñ¥é¥á¡¼¥¿¿äÄê |
| Ãø¼Ô | *°¤Éô Àµ±Ñ, ÀîËô νÂÀ, ÀîËô À¯À¬(ÅìËÌÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê) |
| Page | pp. 155 - 160 |
| Keyword | ±ÇÁü½¤Éü, ¥Õ¥ê¥Ã¥«¥Ñ¥é¥á¡¼¥¿¿äÄê, »²¾È²èÁü |
| Abstract | ËܹƤǤϡ¤¸Å¤¤¥Õ¥£¥ë¥à±ÇÁü¤Ë¤ª¤¤¤Æ¡¤¥Õ¥ê¥Ã¥«¤È¥Ö¥í¥Ã¥Á¤ò¹Íθ¤·¤¿»²¾È²èÁü¤ÎºîÀ®Ë¡¤È¡¤¤½¤Î»²¾È²èÁü¤òÍѤ¤¤¿M¿äÄê¤Ë¤è¤ë¥Õ¥ê¥Ã¥«¥Ñ¥é¥á¡¼¥¿¿äÄêË¡¤òÄ󰯤¹¤ë¡¥ »²¾È²èÁü¤Ï¡¤»þ´Ö¼´¾å¤Ë¤ª¤±¤ë¥Õ¥ê¥Ã¥«¤ä¥Ö¥í¥Ã¥Á¤Îµ±ÅÙÃÍÊѲ½¤ÎÀ¼Á¤«¤é¡¤¦Á-¥È¥ê¥à¥ÉÊ¿¶ÑÃÍ¥Õ¥£¥ë¥¿¤òÍѤ¤¤¿»þ´ÖÊý¸þ¥Õ¥£¥ë¥¿¥ê¥ó¥°¤Ë¤è¤Ã¤ÆÆÀ¤é¤ì¤ë¡¥ ¤³¤Î»²¾È²èÁü¤È½¾Íè¤ÎM¿äÄê¤òÍѤ¤¤¿¥Õ¥ê¥Ã¥«¥Ñ¥é¥á¡¼¥¿¿äÄêË¡¤òÍѤ¤¤ë¤³¤È¤Ç¡¤¹â®¤Ê¥Õ¥ê¥Ã¥«¥Ñ¥é¥á¡¼¥¿¿äÄê¤ò¼Â¸½¤¹¤ë¡¥ ¿Í¹©Åª¤Ë¥Õ¥ê¥Ã¥«¤òÉղä·¤¿±ÇÁü¤Î½¤Éü¼Â¸³¤Ë¤ª¤¤¤Æ¡¤Äó°ÆË¡¤Ç¤Ï½¾ÍèË¡¤ÈÈæ³Ó¤·¤Æ·×»»»þ´Ö¤¬19ʬ¤Î1¤Ë²þÁ±¤µ¤ì¤¿¡¥ |
| Âê̾ | ±ÇÁüÉ乿²½¤Î¤¿¤á¤ÎľÀþ°ÌÁêľ¸òÈóʬΥ¥¦¥§¡¼¥Ö¥ì¥Ã¥ÈÊÑ´¹¤ÈÏĤߤÎÁê´Ø |
| Ãø¼Ô | *°Âã ½¼¹¬, Èæ´ë Ë(¿·³ãÂç³Ø¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê), ¼¾¾ Àµ¸ã, µÆÃÓ µ×ÏÂ(¿·³ãÂç³Ø¹©³ØÉô) |
| Page | pp. 161 - 166 |
| Keyword | ¥¦¥§¡¼¥Ö¥ì¥Ã¥È, ±ÇÁüÉ乿²½, ÈóʬΥ¥Õ¥£¥ë¥¿¥Ð¥ó¥¯ |
| Abstract | Ëܸ¦µæ¤Ç¤Ï, ±ÇÁüÉ乿²½¤Î¤¿¤á¤ÎÎ¥»¶¥¦¥§¡¼¥Ö¥ì¥Ã¥ÈÊÑ´¹(DWT) ¤Ë¤ª¤¤¤ÆÄ¾¸òÀ¤Î½ÅÍ×À¤ò¼¨¤¹. ¤Þ¤¿, 2¼¡¤Î¥Ð¥Ë¥Ã¥·¥ó¥°¥â¡¼¥á¥ó¥È¤òͤ¹¤ëľÀþ°ÌÁêľ¸òÈóʬΥDWT ¤Î¥é¥Æ¥£¥¹¹½À®¤Ë´ð¤Å¤¯¿·¤¿¤ÊÀß·×Ë¡¤òÄ󰯤¹¤ë. JPEG2000 ¤Ç»È¤ï¤ì¤Æ¤¤¤ëDWT¤Ï, ±ÇÁü±þÍѤˤª¤¤¤Æ²â¾õ¤Î»ë³ÐŪ¤ÊÎô²½¤òÀ¸¤¸¤ë. º£²ó, ¥é¥ó¥À¥à¥µ¥Ö¥Ð¥ó¥É¿®¹æ¤òºÆ¹½À®¤¹¤ë¼Â¸³¤ò¤È¤ª¤·¤Æ,¤³¤ÎÌäÂê¤Î¸¶°ø¤ò»ØÅ¦¤¹¤ë¤È¶¦¤Ë, ²ò·èË¡¤È¤·¤ÆÄ¾Àþ°ÌÁêľ¸òÈóʬΥDWT ¤ÎƳÆþ¤¬Í¸ú¤Ç¤¢¤ë¤³¤È¤ò¼¨¤¹. ľ¸òÀ¡¦½ÅÊ£À¡¦Ä¾Àþ°ÌÁêÆÃÀ¤ÎÁ´¤Æ¤òËþ¤¿¤¹ÈóʬΥDWT¤Ï, ½¾Íè¤ÎDWT¤È¤Ï°Û¤Ê¤ê, ¥é¥ó¥À¥à¥µ¥Ö¥Ð¥ó¥É¿®¹æ¤ÎºÆ¹½À®²èÁü¤¬Î¥»¶¥³¥µ¥¤¥óÊÑ´¹(DCT)¤ÈƱÍͤË̵Áê´ØÀ¤òÊݸ¤¹¤ë¤³¤È¤ò¼¨¤¹. ¤Þ¤¿, ¼ÂºÝ¤Î¥Õ¥ì¡¼¥à²èÁü¤òÍѤ¤¤¿¼Â¸³¤Ë¤è¤ê, ľ¸òÀ¤ÈÏĤߤÎÁê´Ø¤È¤Î´Ø·¸¤ò»ë³ÐŪµÚ¤Ó¿ôÃÍŪ¤Ë¸¡Æ¤¤¹¤ë. |
| Âê̾ | ÈóÂоλ»½ÑÊ¿¶Ñ¤È¿§ÁêÊѲ½¤ÎÊ¿³ê²½¤Ë¤è¤ë¥«¥é¡¼¥Ç¥â¥¼¥¤¥·¥ó¥° |
| Ãø¼Ô | *¹â¶¶ Á±¼÷, ³« ·òÂÀϯ, µÆÃÓ µ×ÏÂ, ¼¾¾ Àµ¸ã(¿·³ãÂç³Ø¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê) |
| Page | pp. 167 - 172 |
| Keyword | ¥Ç¥â¥¼¥¤¥·¥ó¥°, ¥Ç¥£¥¸¥¿¥ë¥«¥á¥é |
| Abstract | ËܹƤǤÏBayerÇÛÎóñÈļ°»£Áü¥Ç¥Ð¥¤¥¹¤«¤éÆÀ¤é¤ì¤ë¥â¥¶¥¤¥¯²èÁü¤ËÂФ¹¤ë¥«¥é¡¼¥Ç¥â¥¼¥¤¥·¥ó¥°¼êË¡¤È¤·¤ÆÈóÂоλ»½ÑÊ¿¶ÑÊä´Ö¤È¿§ÁêÊѲ½¤ÎÊ¿³ê²½¤Î2Ãʳ¬¤«¤é¤Ê¤ë¥«¥é¡¼¥Ç¥â¥¼¥¤¥·¥ó¥°¤òÄ󰯤¹¤ë¡¥»Ï¤á¤ËÊä´ÖÂоݲèÁǤζá˵¤Ë¤ª¤¤¤Æ¿§ºÌɸËÜÃͤȤÎÊý¸þÀº¹Ê¬¤«¤é¥¨¥Ã¥¸Êý¸þ¤ò¿äÄꤷ¤¿¤Î¤Á¡¤¥¨¥Ã¥¸¾å¤Î¤¤¤º¤ì¤ÎÊý¸þ¤È¤ÎϢ³À¤¬¹â¤¤¤«¤ò¿äÄꤹ¤ë¡¥¤³¤ì¤Ë¤â¤È¤Å¤¤¤ÆÄê¿§Á긶Íý¤òËþ¤¿¤¹¤è¤¦¤Ê¶õ´ÖŪ¤ËÈóÂоΤʲýŻ»½ÑÊ¿¶Ñ¤È¤·¤Æ·çÍî¿§ºÌÃͤòÊä´Ö¤¹¤ë¡¥¼¡¤Ë¡¤Êä´Ö¤Ë¤è¤Ã¤ÆÆÀ¤é¤ì¤¿²èÁü¤ËȯÀ¸¤¹¤ëµ¶¿§¤Î¸¶°ø¤Ç¤¢¤ëÄê¿§Á긶Íý¤ÎÉÔÀµ¤ò¿§Áê¤ÎÊ¿³ê²½¤Ë¤è¤ê½¤Àµ¤¹¤ë¡¥¼Â¸³Åª¤ÊÀǽ¤Ë¤Ä¤¤¤Æ¡¤PSNR¡¤CIELAB¿§º¹¡¤¥Þ¥ó¥»¥ë¿§¶õ´Ö¤Ë¤ª¤±¤ë¿§Á꺹¤Ê¤É¤ÎµÒ´ÑŪɾ²Á»ØÉ¸¤ÈÌÜ»ë¤Ë¤è¤ë¼ç´Ñɾ²Á¤Ë¤è¤Ã¤ÆÍ¸úÀ¤ò³Îǧ¤·¤¿¡¥ |
| Âê̾ | 1¼¡¸µ°ÌÁê¸ÂÄêÁê´ØË¡¤Ë´ð¤Å¤¯²èÁü¤Î¹âÀºÅÙ²óž·×¬¥¢¥ë¥´¥ê¥º¥à¤È¤½¤Îɾ²Á |
| Ãø¼Ô | *ĹÅè À», °ËÆ£ ¹¯°ì, ÀÄÌÚ ¹§Ê¸(ÅìËÌÂç³ØÂç³Ø±¡¾ðÊó²Ê³Ø¸¦µæ²Ê), ÀÐ°æ ½¨¾¼, ¾®ÎÓ ¹§¼¡(³ô¼°²ñ¼Ò»³Éð) |
| Page | pp. 173 - 178 |
| Keyword | ²èÁü¥Þ¥Ã¥Á¥ó¥°, °ÌÁê¸ÂÄêÁê´ØË¡, ²óž·×¬ |
| Abstract | ËܹƤǤϡ¤1¼¡¸µ°ÌÁê¸ÂÄêÁê´ØË¡¤Ë´ð¤Å¤¯²èÁü¤Î¹âÀºÅÙ²óž·×¬¥¢¥ë¥´¥ê¥º¥à¤òÄ󰯤¹¤ë¡¥²èÁü¤Î²óžÎ̤ò·×¬¤¹¤ëºÝ¤Ë¤Ï¡¤¶ËºÂɸŸ³«¤Ë¤è¤êŸ³«²èÁü¤òºîÀ®¤·¡¤²èÁü¤Î²óž¤òŸ³«²èÁü¤ÎÊ¿¹Ô°Üư¤ËÊÑ´¹¤·¤Æ¿äÄꤹ¤ë¡¥Ä󰯼êË¡¤Ï¡¤Å¸³«²èÁü¤ÎÊ¿¹Ô°Üư¤¬²£Êý¸þ¤Î¤ß¤ËÀ©¸Â¤µ¤ì¤ë¤³¤È¤ËÃåÌܤ¹¤ë¡¥¤³¤ì¤Ë¤è¤ê¡¤Å¸³«²èÁü¤Î°ÜưÎÌ¿äÄê¤ÎÌäÂê¤ò2¼¡¸µ¤«¤é1¼¡¸µ¤Î°ÜưÎÌ¿äÄê¤ËÃÖ¤´¹¤¨¤ë¤³¤È¤¬²Äǽ¤Ç¤¢¤ë¡¥ËܹƤǤϡ¤Å¸³«²èÁü¤Î°ÜưÎÌ¿äÄê¤Ë1 ¼¡¸µ°ÌÁê¸ÂÄêÁê´ØË¡¤òÍѤ¤¤ë¤³¤È¤Ç¡¤½¾Íè¤Î2 ¼¡¸µ°ÌÁê¸ÂÄêÁê´ØË¡¤òÍѤ¤¤¿¼êË¡¤è¤ê¤â¡¤·×»»Î̤òȾʬ°Ê²¼¤Ëºï¸º¤·¤Ä¤Ä¡¤¹â¤¤ÀºÅ٤DzèÁü¤Î²óžÎ̤ò·×¬¤Ç¤¤ë¤³¤È¤ò¼¨¤¹¡¥ |
| Âê̾ | µ÷Î¥·×¬¤Ë´ð¤Å¤¯¥Ï¥¦¥ê¥ó¥°¥¥ã¥ó¥»¥é¤ÎÀǽ²þÁ±¤Ë´Ø¤¹¤ë¸¡Æ¤ |
| Ãø¼Ô | *Àî¼ ¿·, Á¾²æÈþ ÌÀ, ÈÓÔ¢ ÍÎÆó(ÂçºåÂç³Ø´ðÁù©³Ø¸¦µæ²Ê) |
| Page | pp. 179 - 184 |
| Keyword | ¥Ï¥¦¥ê¥ó¥°, µ÷Î¥·×¬, ¥Î¥Ã¥Á¥Õ¥£¥ë¥¿ |
| Abstract | ËÜÏÀʸ¤Ç¤Ï¡¤¥¹¥Ô¡¼¥«¡Ý¥Þ¥¤¥¯¥í¥Û¥ó´Ö¤Îµ÷Î¥¤òÍøÍѤ·¤¿¥Ï¥¦¥ê¥ó¥°½üµî¥·¥¹¥Æ¥à¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤¹¤ë¡¥¤³¤ÎÊýË¡¤Ç¤Ï¡¤¤Þ¤º¡¤¥¹¥Ô¡¼¥«¡Ý¥Þ¥¤¥¯¥í¥Û¥ó´Ö¤Îµ÷Î¥¤ò²»ÇȤòÍѤ¤¤Æ·×¬¤·¡¤¼¡¤Ë¡¤·×¬¤µ¤ì¤¿µ÷Î¥¤«¤é¥Ï¥¦¥ê¥ó¥°¤È¤Ê¤ë¼þÇÈ¿ô¤Î¸õÊä¤ò¿äÄꤹ¤ë¡¥¤½¤·¤ÆºÇ¸å¤Ë¡¤¿äÄꤵ¤ì¤¿¼þÇÈ¿ôÀ®Ê¬¤ò¥Î¥Ã¥Á¥Õ¥£¥ë¥¿¤Ë¤è¤ê½üµî¤¹¤ë¤³¤È¤Ç¥Ï¥¦¥ê¥ó¥°¤ÎȯÀ¸¤òÍÞ¤¨¤ë¡¥ËÜÊý¼°¤Ï¡¤¥Ï¥¦¥ê¥ó¥°¤ò¤¢¤é¤«¤¸¤á½üµî¤·¤Æ¤ª¤¯¤¿¤á¡¤¥Ï¥¦¥ê¥ó¥°¤½¤Î¤â¤Î¤¬À¸¤¸¤Ê¤¤¤È¤¤¤¦ÆÃŤ¬¤¢¤ë¡¥½¾Í衤²æ¡¹¤Ïµ÷Î¥·×¬¤Î¤¿¤á¤Î¥Ñ¥¤¥í¥Ã¥È¿®¹æ¤È¡¤¥Þ¥¤¥¯¥í¥Û¥ó¤Î¼õ¿®¿®¹æ¤È¤ÎÁê´Ø¤¬¤·¤¤¤Ãͤò¾å²ó¤ë»þ¹ï¤ò¿®¹æÅþÍè»þ¹ï¤È¤¹¤ë¡¤Áê´ØË¡¤Ë¤è¤Ã¤Æµ÷Î¥·×¬¤ò¼Â¹Ô¤·¤Æ¤¤¿¡¥¤·¤«¤·¡¤Áê´ØË¡¤Ç¤ÏŬÀڤʤ·¤¤¤ÃͤòÀßÄꤷ¤Ê¤±¤ì¤Ð¡¤ÀºÅÙ¤ÎÎɤ¤¿äÄêµ÷Î¥¤¬ÆÀ¤é¤ì¤Ê¤¤¤È¤¤¤¦ÌäÂ꤬¤¢¤Ã¤¿¡¥¤½¤³¤Ç¡¤ËÜÏÀʸ¤Ç¤Ï¡¤¤·¤¤¤ÃÍÀßÄ꤬ÉÔÍפʺÇÂçÃÍË¡¤òƳÆþ¤·¡¤µ÷Î¥·×¬¤ÎÀºÅÙ¤ò¸þ¾å¤µ¤»¤ë¡¥ºÇÂçÃÍË¡¤Ï¡¤¼õ¿®¿®¹æ¤ÎÊñÍíÀþ¤Î¥Ô¡¼¥¯°ÌÃÖ¤ò¸¡½Ð¤·¡¤¥Ñ¥¤¥í¥Ã¥È¿®¹æ¤ÎÅþÍè»þ¹ï¤òµá¤á¤ë¤â¤Î¤Ç¤¢¤ë¡¥¼Â´Ä¶¤Ç¤Îµ÷Î¥·×¬¼Â¸³¤Ë¤è¤ê¡¤ºÇÂçÃÍË¡¤¬Áê´ØË¡¤è¤ê¤â¹âÀºÅÙ¤«¤Ä°ÂÄê¤Ëµ÷Î¥·×¬¤ò¼Â¸½¤Ç¤¤ë¤³¤È¤ò¼¨¤¹¡¥ |
| Âê̾ | Äã·²ÃÙ±ä¤ò¤â¤ÄÈóºÇÂç´Ö°ú¤¥Õ¥£¥ë¥¿¥Ð¥ó¥¯¤ÎºÇ¾®2¾èÀß·× |
| Ãø¼Ô | *²ÏÌî ·ò, °¤Éô Àµ±Ñ, ÀîËô À¯À¬(ÅìËÌÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê) |
| Page | pp. 185 - 190 |
| Keyword | ¥Õ¥£¥ë¥¿¥Ð¥ó¥¯Àß·×, ´°Á´ºÆ¹½À®, Äã·²ÃÙ±ä, Åù¥ê¥×¥ëÁ˻߰è±þÅú, ½Å¤ßÉÕ¤ºÇ¾®2¾èË¡ |
| Abstract | ËܹƤǤϡ¤¶á»÷Ū¤Ê´°Á´ºÆ¹½À®¤Èû¤¤·²ÃÙ±ä¤ò¤â¤ÄÈóºÇÂç´Ö°ú¤¥Õ¥£¥ë¥¿¥Ð¥ó¥¯¤òÀ߷פ¹¤ë¤¿¤á¤Î¿·¤·¤¤È¿ÉüºÇŬ²½¥¢¥ë¥´¥ê¥º¥à¤òÄ󰯤¹¤ë¡¥ ¥Õ¥£¥ë¥¿¥Ð¥ó¥¯Àß·×ÌäÂê¤ò¥Õ¥£¥ë¥¿·¸¿ô¤Ë´Ø¤¹¤ë½Å¤ßÉÕ¤ºÇ¾®2¾èÌäÂê¤È¤·¤ÆÉ½¤¹¡¥ ¤³¤Î¥¢¥ë¥´¥ê¥º¥à¤Î³ÆÈ¿Éü¤Ë¤ª¤¤¤Æ¡¤ÌÜŪ´Ø¿ô¤ÎºÇ¾®ÅÀ¤ÏÊĤ¸¤¿·Á¤Î²ò¤ÇÆÀ¤é¤ì¤ë¡¥ ¿ô²ó¤ÎÈ¿Éü¤Î¸å¤Ë¡¤ºÇŬ²ò¤ÏÅù¥ê¥×¥ëÁ˻߰è±þÅú¤ò¤â¤Ä¡¥ ËܼêË¡¤Ï¡¤Â礤ʺǾ®Á˻߰踺¿êÎ̤ò¤â¤Ä¥Õ¥£¥ë¥¿¥Ð¥ó¥¯¤ò¸úΨŪ¤ËÀ߷פ¹¤ë¤³¤È¤¬¤Ç¤¤ë¡¥ Äó°ÆË¡¤Î͸úÀ¤ò¼¨¤¹¤¿¤á¤Ë¡¤¥Õ¥£¥ë¥¿¥Ð¥ó¥¯¤Î°ìÀß·×Îã¤ò¤¢¤²¤ë¡¥ ¤Þ¤¿¡¤½¾ÍèË¡¤È¤ÎÈæ³Ó¤ò¼¨¤¹¡¥ |
| Âê̾ | ¥¦¥§¡¼¥Ö¥ì¥Ã¥ÈÊÑ´¹¤Ë¤è¤ëÊâ¹Ô²»¤ÎÆÃħÃê½Ð¤ÈSVM¤òÍѤ¤¤¿¸Ä¿Í¼±ÊÌ |
| Ãø¼Ô | *Èİæ ÍÛ½Ó, °ÂÀî Çî(°¦Ãθ©Î©Âç³Ø) |
| Page | pp. 191 - 196 |
| Keyword | Êâ¹Ô²», ¸Ä¿Í¼±ÊÌ, ¥¦¥§¡¼¥Ö¥ì¥Ã¥ÈÊÑ´¹, SVM |
| Abstract | ¶áǯ¡¤Êâ¹Ô²»¤òÍѤ¤¤¿¸Ä¿Í¼±Ê̤¬²Äǽ¤Ç¤¢¤ë¤³¤È¤¬¼¨¤µ¤ì¡¤Êâ¹Ô²»¤Î²òÀϤäǧ¼±Î¨¤Î¸þ¾å¤Ë´Ø¤¹¤ë¸¦µæ¤¬¿Ê¤á¤é¤ì¤Æ¤¤¤ë¡¥²æ¡¹¤Ï¥¦¥§¡¼¥Ö¥ì¥Ã¥ÈÊÑ´¹¤òÍѤ¤¤¿Êâ¹Ô²»¤Î²òÀϤˤè¤ê¡¤ÆÃħÎ̤ÎÃê½Ð¤ä¸Ä¿Í¼±Ê̤˴ؤ¹¤ëͱפʷë²Ì¤òÆÀ¤¿¡¥ °ìÊý¡¤Êâ¹Ô²»¤«¤éÃê½Ð¤·¤¿ÆÃħÎ̤Υ¯¥é¥¹¥¿²½¼êË¡¤Ë¤Ä¤¤¤Æ¤Ï½½Ê¬¤ËÏÀµÄ¤µ¤ì¤Æ¤ª¤é¤º¡¤½¾ÍèË¡¤Ç¤ÏÊ¿¶ÑÃͤ«¤é¤Î¥æ¡¼¥¯¥ê¥Ã¥Éµ÷Î¥¤òÍѤ¤¤Æ¼±Ê̤ò¹Ô¤Ã¤Æ¤¤¤ë¡¥ËܹƤǤϥ¦¥§¡¼¥Ö¥ì¥Ã¥È¥Ñ¥é¥á¡¼¥¿¤òÍѤ¤¤¿Support Vector Machine(SVM)¤Ë¤è¤ë¸Ä¿Í¼±Ê̤ò¹Ô¤¤¡¤¤µ¤é¤Ë¾éĹ¤Ê¾ðÊó¤Î½üµî¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤ò¹Ô¤¦¡¥ |
| Âê̾ | On the Structure of Adaptive Noise Cancellers |
| Ãø¼Ô | *Akihiko Sugiyama(NEC Media and Information Res. Labs.) |
| Page | pp. 197 - 202 |
| Keyword | Noise canceller, structure |
| Abstract | This paper presents a comparison of adaptive-noise-canceller (ANC) structures. Kubota's ANC and Dunlop's ANC are investigated as multi-stage ANC structures in comparison with the crosscoupled ANC and crosstalk-resistant andaptive noise canceller (CTRANC). They need a good signal detector and a possible crosstalk contaminates the input of the adaptive filter for cancelling the noise. The crosscoupled ANC and CTRANC do not need a detector nor the filter input is contaminated due to a second adaptive filter for crosstalk cancellation. Finally, sophisticated coefficient adaptation algorithms are discussed with the crosscoupled ANC for better performance that cannot be achieved only by a novel structure. |
| Âê̾ | ±ÇÁü¤Ë¤ª¤±¤ëή¿å°è¸¡½Ð¤Î¤¿¤á¤Î»þ¶õ´Ö¥Õ¥£¥ë¥¿¤ÎºÇŬÀß·× |
| Ãø¼Ô | *µÆÃÓ Çî, ÏÂÅÄ Í´°ì, ã·Æ£ ½ß»Ë, ´ä¶¶ À¯¹¨(Ĺ²¬µ»½Ñ²Ê³ØÂç³Ø¹©³ØÉôÅŵ¤·Ï) |
| Page | pp. 203 - 208 |
| Keyword | ºÇŬ²½, ±ÇÁü, ¥Õ¥£¥ë¥¿, ¿å°Ì, ²ÏÀî |
| Abstract | ±ÇÁü¤«¤é¿å°Ì¤ò¼«Æ°Åª¤Ëǧ¼±¤¹¤ëÊýË¡¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤¹¤ë¡¥½¾ÍèË¡¤È¤·¤Æ¡¤¿âľÊý¸þ¤Î¥¨¥Ã¥¸¸¡½Ð¤È¥Õ¥ì¡¼¥à´Öº¹Ê¬¤Ë¤è¤ê¿åÊ¿Êý¸þ¤Ë¹¤¬¤ë¿åÌÌÎØ³Ô¤òÃê½Ð¤¹¤ëÊýË¡¤¬Ä󰯤µ¤ì¤Æ¤¤¤ë¤¬¡¤º¹Ê¬½èÍý¤Î¤¿¤á¤Ë¿åÌ̤ÎÍðÈ¿¼Í¤ä¹ß±«Àãγ»ÒÅù¤Îư¤¯³°Íð¤Î±Æ¶Á¤ò¼õ¤±¤ä¤¹¤¤¡¥ËÜÊó¹ð¤Ç¤Ï¡¤¥Õ¥ì¡¼¥à¤ÎƱ´ü²Ã»»¤È¿åÊ¿Êý¸þ¤Î¥¨¥Ã¥¸¸¡½Ð¤Ë´ð¤Å¤¯¿å°Ì¸¡½ÐË¡¤Ë¤ª¤¤¤Æ¡¤Í¿¤¨¤é¤ì¤¿±ÇÁü¤ËÂФ¹¤ë¥¨¥Ã¥¸¸¡½Ð¥Õ¥£¥ë¥¿¤ÎºÇŬÀ߷פˤĤ¤¤Æ¹Í»¡¤·¡¤Prewitt ¤äSobel ¥ª¥Ú¥ì¡¼¥¿¤ò´Þ¤à½¾Íè¤Î¥¨¥Ã¥¸¸¡½ÐË¡¤ÈÈæ³Ó¸¡Æ¤¤¹¤ë¡¥ |
| Âê̾ | ưŪ¥Í¥Ã¥È¥â¥Ç¥ë¤Î¥Ñ¥¿¡¼¥óǧ¼±¤Ø¤ÎŬÍѤ˴ؤ¹¤ë¸¡Æ¤ |
| Ãø¼Ô | ¸ÅÎÓ Í¤²ð, *ÌùÌÚ ÅÐ(ÄÅ»³¹©¶È¹âÅùÀìÌç³Ø¹»), Ïɸ« °éμ, ¾¾Á° ¿Ê, Ê¡ËÜ Á±ÍÎ(Ä»¼è´Ä¶Âç³Ø) |
| Page | pp. 209 - 213 |
| Keyword | ưŪ¥Í¥Ã¥È¥â¥Ç¥ë, ¥Ñ¥¿¡¼¥óǧ¼±, Æ°ÅªÎØ³ÔË¡, ÆÃħÃê½Ð |
| Abstract | Ëܸ¦µæ¤Ç¤Ï¡¤ÆÃħÃê½Ð¤Î°ìÊýË¡¤È¤·¤Æ,ưŪ¥Í¥Ã¥È¥â¥Ç¥ë¤òÍѤ¤¤ë¤³¤È¤ò¹Í¤¨¤ë¡£¤¹¤Ê¤ï¤Á,¥Ñ¥¿¡¼¥óǧ¼±½èÍý¤ËɬÍפʲèÁüÆÃħ¤È¤·¤Æ,ưŪ¥Í¥Ã¥È¥â¥Ç¥ë¤ÎÊ᪷ë²Ì¤Ë¤ª¤±¤ëÌ֤γʻÒÅÀ¤ÎÁÂÌ©ÅÙ¤òºÎÍѤ¹¤ë¡£ËܹƤǤÏ, ®ÅÙɸ¼±¤ËÂФ¹¤ëưŪ¥Í¥Ã¥È¥â¥Ç¥ë¤Ç¤ÎÊ᪷ë²Ì¤«¤éÁÂÌ©ÅÙ¤ò¬Äꤷ,¤½¤ÎÃͤò¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯¤ËÆþÎÏ,³Ø½¬¤µ¤»¤ë¤³¤È¤Ç¥Ñ¥¿¡¼¥óǧ¼±¤ò¹Ô¤Ê¤¦¤¿¤á¤Î°ìÊýË¡¤ÎÄ󰯤ò¹Ô¤Ê¤¦¡£Æ°Åª¥Í¥Ã¥È¥â¥Ç¥ë¤òÍѤ¤¤ë¤³¤È¤Ç,ÂоݤȤʤëʪÂΤÎÎØ³Ô¤äÆâÉô¾ðÊó¤ò,¥Í¥Ã¥È¤Î·Á¾õ¤ä³Ê»ÒÅÀ¤ÎÁÂÌ©¤Çɽ¸½¤Ç¤,¤Þ¤¿¤·¤¤¤ÃͽèÍýµÚ¤Ó£²ÃͲ½½èÍý¤òɬÍפȤ·¤Ê¤¤¤¿¤áǧ¼±½èÍý¤Î´Êά²½¤ä¹â®²½¤ò¿Þ¤ê¤ä¤¹¤¤¤³¤È¤¬Í½Â¬¤µ¤ì¤ë¡£ |
| Âê̾ | ²ÏÀî´Æ»ë¤Î¤¿¤á¤Îµ¡Ç½Åª³¬ÁØÉ乿²½ |
| Ãø¼Ô | *¹â¶¶ Ãξ, º£°æ ͵Æó, ´ä¶¶ À¯¹¨(Ĺ²¬µ»½Ñ²Ê³ØÂç³Ø¹©³ØÉôÅŵ¤·Ï), ¼¾¾ Àµ¸ã(¿·³ãÂç³Ø¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê) |
| Page | pp. 215 - 220 |
| Keyword | ²ÏÀî, ¿å°Ì, µ¡Ç½Åª, ³¬Áز½, É乿²½ |
| Abstract | ¥Í¥Ã¥È¥ï¡¼¥¯¥«¥á¥éÆâÉô¤Ë¿®¹æ½èÍý¥Ü¡¼¥É¤òÁȤ߹þ¤ß¡¤Ä̾ï¤Ï±ÇÁü¤«¤é¿å°Ì¤ò¼«Æ°¸¡½Ð¤·¡¤É¬Í×»þ¤Ë¤Ï±ÇÁü¤½¤Î¤â¤Î¤ò±ÜÍ÷¤Ç¤¤ë¡¤²ÏÀî¤Î¤¿¤á¤Î±ó³Ö´Æ»ë¥·¥¹¥Æ¥à¤òÄ󰯤¹¤ë¡¥Ã±¤Ë±ÇÁüǧ¼±¤Ë¤è¤ê¿å°Ì¤ò¸¡½Ð¤¹¤ë¤Î¤ß¤Ç¤Ï¤Ê¤¯¡¤¥·¥¹¥Æ¥àÁ´ÂΤ¬ÄÌ¿®²óÀþ¤ò¸úΨŪ¤ËÍøÍѽÐÍè¤ë¤è¤¦¤Ë¥Ç¡¼¥¿¤ÎÁíÅÁÁ÷Î̤òÄ㸺¤¹¤ë¤³¤È¤òÌÜŪ¤È¤¹¤ë¡¥¶ñÂÎŪ¤Ë¤Ï¡¤1)Â裱ͥÀ賬Áؤ«¤é¤Ï¿å°Ì¸¡½Ð¤Ë͸ú¤ÊÀ®Ê¬¤¬¡¤2)Âè2 Í¥À賬Áؤ«¤é¤ÏÄã²òÁüÅ٤ʳµÍ×±ÇÁü¤¬¡¤3)ÈóÍ¥À賬Áؤò´Þ¤àÁ´³¬Áؤ«¤é¤Ï¾ÜºÙ±ÇÁü¤¬ºÆÀ¸¤µ¤ì¤ë¡¤¿å°Ì¸¡½Ð¤È¤¤¤¦µ¡Ç½Ì̤dz¬Áز½¤µ¤ì¤¿±ÇÁü¤ÎÉ乿²½ÊýË¡¤òÄ󰯤¹¤ë¡¥ |
| Âê̾ | ¥Õ¥£¥ë¥à±ÇÁü¤Ë¤ª¤±¤ë¥Õ¥ê¥Ã¥«¤È¥Ö¥í¥Ã¥Á¤Î±Æ¶Á¤ò¹Íθ¤·¤¿ÇطʲèÁüº¹Ê¬Ë¡¤Ë¤è¤ë¥Ö¥í¥Ã¥Á¸¡½Ð |
| Ãø¼Ô | *¾±»Ò ¹°µ£, °¤Éô Àµ±Ñ, ÀîËô À¯À¬(ÅìËÌÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²ÊÅŻҹ©³ØÀì¹¶) |
| Page | pp. 221 - 226 |
| Keyword | ¥Ç¥£¥¸¥¿¥ë½¤Éü, ¥Ö¥í¥Ã¥Á¸¡½Ð, ÇØ·Ê²èÁüº¹Ê¬Ë¡, ¸Å¤¤¥Õ¥£¥ë¥à±ÇÁü, ¥Õ¥ê¥Ã¥«½üµî |
| Abstract | ËܹƤǤϡ¤¥Õ¥£¥ë¥à±ÇÁü¤Ë¸ºß¤¹¤ë¥Ö¥í¥Ã¥Á¤ò¥Ç¥£¥¸¥¿¥ë±ÇÁü½èÍý¤Ë¤è¤Ã¤Æ¸¡½Ð¤¹¤ë¼êË¡¤òÄ󰯤¹¤ë¡¥Äó°ÆË¡¤Ç¤Ï¡¤¦Á-¥È¥ê¥à¥ÉÊ¿¶ÑÃÍ¥Õ¥£¥ë¥¿¤Ë¤è¤Ã¤Æ±ÇÁü¤ÎÇØ·Ê²èÁü¤ò¿äÄꤷ¡¤ÇطʲèÁüº¹Ê¬Ë¡¤Ë¤è¤Ã¤Æ¥Ö¥í¥Ã¥Á¤ò¸¡½Ð¤¹¤ë¡¥½¾ÍèË¡¤Î¿¤¯¤ÏϢ³¤¹¤ë¥Õ¥ì¡¼¥à¤Ë¥Ö¥í¥Ã¥Á¤Ï½Ð¸½¤·¤Ê¤¤¤³¤È¤òÁ°Äó¤È¤¹¤ë¤¿¤á¡¤¥Ö¥í¥Ã¥Á½Ð¸½Î¨¤¬Áý²Ã¤¹¤ë¤Ë¤Ä¤ì¤Æ¥Ö¥í¥Ã¥Á¤Î¸¡½ÐÀǽ¤ÏÄã²¼¤¹¤ë¡¥¤³¤ÎÌäÂêÅÀ¤ò²ò·è¤¹¤ë¤¿¤á¤ËÇØ·Ê²èÁü¤ò»²¾È²èÁü¤È¤¹¤ë¥Ö¥í¥Ã¥Á¸¡½ÐË¡¤òÄ󰯤¹¤ë¡¥ËܹƤǤϥ֥í¥Ã¥Á½Ð¸½Î¨¤ËÂФ¹¤ë½¾ÍèË¡¤ÈÄó°ÆË¡¤Î¥Ö¥í¥Ã¥Á¸¡½ÐΨ¤ÈÈó¥Ö¥í¥Ã¥Á¸¡½ÐΨ¤ÎƳ½Ð¤È¿Í¹©Åª¤ËºîÀ®¤·¤¿Îô²½±ÇÁü¤ËÂФ¹¤ë¥Ö¥í¥Ã¥Á¤Î¸¡½ÐÀǽɾ²Á¼Â¸³¤Ë¤è¤Ã¤ÆÄó°ÆË¡¤ÎÍ¥°ÌÀ¤ò³Îǧ¤·¤¿¡¥ |
| Âê̾ | ²»ÇȤòÍѤ¤¤¿²ÏÀî¤Îή®ʬÉۤβĻ벽 |
| Ãø¼Ô | ÌðÅç Ë®¾¼(ÀçÂæÅÅÇȹ©¶È¹âÅùÀìÌç³Ø¹»), »°±º ͵²ð(ÃæÉôÅÅÎÏ), *±óÆ£ çýè½¹á(ÀçÂæÅÅÇȹ©¶È¹âÅùÀìÌç³Ø¹»), ´ä¶¶ À¯¹¨(Ĺ²¬µ»½Ñ²Ê³ØÂç³Ø) |
| Page | pp. 227 - 230 |
| Keyword | ή®ʬÉÛ, ²èÁüºÆ¹½À®, WMRË¡, ÅÁÇÅ»þ´Ö |
| Abstract | ¿·¤·¤¤²ÏÀî¤Îή®·×¬ˡ¤È¤·¤Æ²èÁüºÆ¹½À®¥¢¥ë¥´¥ê¥º¥à¤Ç¤¢¤ëWMRË¡¤ÎŬÍѤòÄ󰯤¹¤ë¡£WMRË¡¤Ï¹©¶ÈʬÌî¤ò»ëÌî¤ËÆþ¤ì¤¿²èÁüºÆ¹½À®¥¢¥ë¥´¥ê¥º¥à¤Ç¤¢¤ê¡¢¶Ë¤á¤Æ¾¯¤Ê¤¤Åê±Æ¥Ç¡¼¥¿¤«¤éÆâÉô¹½Â¤¤Î²Ä»ë²½¤¬²Äǽ¤Ç¤¢¤ë¡£ËÜÏÀ¤Ç¤Ï¡¢²»ÇȤòÍѤ¤¤¿Á÷¼õ¿®µ¡´Ö¤ÎÅÁÇÅ»þ´Ö¤«¤é¡¢²»Â®Ê¬Éۤ˲䨤ÆÎ®Â®Ê¬Éۤκƹ½À®¤¬²Äǽ¤Ç¤¢¤ë¤³¤È¤ò¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤êɾ²Á¤¹¤ë¡£¤³¤ì¤Ë¤è¤ê²ÏÀî¤Îή®ʬÉÛ¤ò¹°è¤Ëû»þ´Ö¤Ç·×¬¤¬²Äǽ¤È¤Ê¤ë¡£ |
| Âê̾ | AES°Å¹æ²½µ¡Ç½ÉÕ¤RFID¥·¥¹¥Æ¥à¤Î¹½ÃÛ |
| Ãø¼Ô | *»°¹¥ ¼÷¸²(¥·¥ã¡¼¥×êµ»½ÑËÜÉô), Æ÷ºä ůϺ(¶¨Ï¥ƥ¯¥Î¥í¥¸¥£¥º(³ô)), ÇòÀî ¸ù(ʼ¸Ë¸©Î©Âç³Ø±þÍѾðÊó²Ê³Ø¸¦µæ²Ê), ¾¾Â¼ ¸¬¼¡((³ô)¥±¡¼¡¦¥·¡¼¡¦¥¨¥¹) |
| Page | pp. 231 - 234 |
| Keyword | RFID, °Å¹æ½èÍý, FPGA, ¥»¥¥å¥ê¥Æ¥£ |
| Abstract | ¡¡RFID¡ÊRadio Frequency IDentification¡Ë¥·¥¹¥Æ¥à¤Ï¡¢Â¿´ô¤Ë¤ï¤¿¤ëʬÌî¤Ç¤ÎÍøÍѤ¬´üÂÔ¤µ¤ì¤Æ¤¤¤ë¡£¤È¤³¤í¤¬¡¢ºÇ¤âÉáµÚ¤¬¸«¹þ¤Þ¤ì¤ëÀ½Â¤¥³¥¹¥È¤¬°Â²Á¤Ê¥¿¥¤¥×¤ÎRFID¥¿¥°¤Ï¡¢ÆâÉô¤Ë±é»»µ¡Ç½¤òͤ·¤Æ¤ª¤é¤º¡¢³°Éô¤«¤éÍ¿¤¨¤é¤ì¤¿¥Ç¡¼¥¿¤òÊÝ»ý¤¹¤ëµ¡Ç½¤·¤«¤Ê¤¤¤¿¤á¡¢¥»¥¥å¥ê¥Æ¥£Ì̤ËÂ礤ÊÌäÂê¤òÊú¤¨¤Æ¤¤¤ë¡£ËܹƤǤÏRFID¥·¥¹¥Æ¥à¤Î¥»¥¥å¥ê¥Æ¥£¤ò³ÎÊݤ¹¤ë¤¿¤á¤Ë¡¢RFID¥¿¥°ÆâÉô¥Ç¡¼¥¿¤ò°Å¹æ²½¡¢¤¹¤Ê¤ï¤Á¡¢RFID Reader/Writer¤ËÂФ¹¤ëAES°Å¹æ½èÍýµ¡Ç½¤ÎÉղäòÄ󰯤·¡¢¥·¥¹¥Æ¥àÁ´ÂΤλîºî¡¦¸¡¾Ú¤ò¹Ô¤Ã¤¿¡£ |
| Âê̾ | MIMOÄÌ¿®¤Ë¤ª¤±¤ëLattice-Reduction´³¾Ä¥¥ã¥ó¥»¥é¤ÎÀß·× |
| Ãø¼Ô | *À¾¾ë Ë®½Ó(¶å½£¹©¶ÈÂç³Ø¾ðÊ󹩳ØÉôÅŻҾðÊ󹩳زÊ), Ä¹Èø ͦʿ(¶å½£¹©¶ÈÂç³ØÂç³Ø±¡¾ðÊ󹩳ظ¦µæ²Ê¾ðÊó¥·¥¹¥Æ¥àÀì¹¶), ¹õºê Àµ¹Ô, ÈøÃÎ Çî(¶å½£¹©¶ÈÂç³Ø¾ðÊ󹩳ØÉôÅŻҾðÊ󹩳زÊ) |
| Page | pp. 235 - 240 |
| Keyword | MIMO, ´³¾Ä¥¥ã¥ó¥»¥é, lattice-reduction |
| Abstract | ËܹƤǤϡ¤MIMOÄÌ¿®¤Ë¤ª¤¤¤Æ¡¤¶õ´ÖÁê´Ø¤Î¹â¤¤¥Á¥ã¥Í¥ë´Ä¶²¼¤Ç¤ÎÀǽ¤ÎÎô²½¤òÍÞÀ©¤·¤Ä¤Ä¡¤±é»»Î̤òºï¸º²Äǽ¤Ê´³¾Ä½üµîË¡¤Ç¤¢¤ëLattice¡¡Reduction´³¾Ä¥¥ã¥ó¥»¥é¤Î²þÎɤò¹Ô¤¦¡¥¤Þ¤¿¡¤·×»»µ¡¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤ê¤½¤ÎÆÃÀ¤òɾ²Á¤·¡¤½¾Íè¤Î´³¾Ä½üµîË¡¤ÈÈæ³Ó¤·¤Æ¡¤Áê´Ø¤Î¹â¤¤¥Á¥ã¥Í¥ë´Ä¶²¼¤Ç¤Î͸úÀ¤ò³Îǧ¤¹¤ë¡¥²Ã¤¨¤Æ¡¤±é»»Î̤ÎÈæ³Ó¤â¹Ô¤¤¡¤MLD¤è¤ê¤âÄã±é»»Î̤Ǥ¢¤ë¤³¤È¤ò³Îǧ¤¹¤ë¡¥ |
| Âê̾ | WH´ðÄì¤òÍѤ¤¤¿¹â®¤Êư¤¿äÄêË¡ |
| Ãø¼Ô | *ÇëÈø ÏÂÌé, ¹õÌÚ ¾Í¸÷(µ×Î±ÊÆ¹©¶È¹âÅùÀìÌç³Ø¹») |
| Page | pp. 241 - 246 |
| Keyword | WH ´ðÄì, ư¤¿äÄê, ºÇŬ»²¾È¥Ö¥í¥Ã¥¯Ãµº÷¥¢¥ë¥´¥ê¥º¥à, DHSS Ë¡ |
| Abstract | ư²èÁü°µ½Ì¤Îư¤Êä½þ¥Õ¥ì¡¼¥à´Öͽ¬¤Ç¤Ï»²¾È¥Ö¥í¥Ã¥¯¤Îõº÷¤Ë¿¤¯¤Î·×»»Î̤òɬÍפȤ¹¤ë¤¿¤á¡¤¹â®²½¤Î¼êË¡¤¬µá¤á¤é¤ì¤ë¡¥ ¤½¤³¤ÇËܹƤǤϡ¤¥Ù¥¯¥È¥ëÎ̻Ҳ½¤Ë¤ª¤±¤ë¥³¡¼¥É¥ï¡¼¥É¤Îõº÷Ë¡¤Î 1 ¤Ä¤Ç¤¢¤ë DHSS Ë¡¤òŬÍѤ·¤Æ¡¤»²¾È¥Ö¥í¥Ã¥¯¤Îõº÷¤ÎºÝ¤Î·×»»Î̤òºï¸º¤¹¤ë¼êË¡¤òÄ󰯤¹¤ë¡¥Ä󰯼êË¡¤Ç¤ÏÁ´»²¾È¥Ö¥í¥Ã¥¯¤òɾ²Á¤¹¤ë¤¿¤á¡¤Á´Ãµº÷¤ÈÈæ³Ó¤·¤ÆÀºÅÙ¤¬Íî¤Á¤Ê¤¤¤È¤¤¤¦ÍøÅÀ¤¬¤¢¤ë¡¥¤Þ¤¿ËܹƤǤϡ¤Ä¾¸ò´ðÄì¤È¤·¤Æ WH ´ðÄì¤òÍѤ¤¤ë¤¬¡¤³ÎΨÏÀŪ¤Ë³Æ´ðÄì¤Îʬ»¶¤òƳ½Ð¤·¡¤¹â®²½¤Ë´óÍ¿¤¹¤ëÄã¼þÇÈ¿ôÀ®Ê¬¤òÁª½Ð¤·¤¿¡¥·×»»µ¡¼Â¸³¤ò¹Ô¤Ã¤¿·ë²Ì¡¤½¾Íè¼êË¡¤Ë¤ÏÎô¤ë¤â¤Î¤Î·×»»Î̤κ︺¤Ï³Îǧ¤Ç¤¤¿¡¥ |
| Âê̾ | SOM¤Ë¤è¤ëǻø²èÁü¤ËÂбþ¤·¤¿ÎسÔÀþÃê½Ð½èÍý¤Î¸¡Æ¤ |
| Ãø¼Ô | ¿¢ÅÄ ÂóÌé, Ïɸ« °éμ, *ÆñÇÈ Ê¡Ìï(Ä»¼è´Ä¶Âç³ØÂç³Ø±¡), ÌùÌÚ ÅÐ(ÄÅ»³¹©¶È¹âÅùÀìÌç³Ø¹»), Ê¡ËÜ Á±ÍÎ(Ä»¼è´Ä¶Âç³Ø ´Ä¶¾ðÊó³ØÉô), ÃÛë δͺ(¾¾¹¾¹©¶È¹âÅùÀìÌç³Ø¹») |
| Page | pp. 247 - 252 |
| Keyword | ƻϩɸ¼±¸¡½Ð, ÎØ³ÔÀþÃê½Ð, ÆÃħÃê½Ð, ¼«¸ÊÁÈ¿¥²½¥Þ¥Ã¥× |
| Abstract | ƻϩ¸òÄÌ¥·¥¹¥Æ¥à¤Ï¡¤¹âÅÙÆ»Ï©¸òÄÌ¥·¥¹¥Æ¥à¤Ø¤Î°Ü¹Ô¤¬¶¯¤¯´üÂÔ¤µ¤ì¤Æ¤¤¤ë¡¥¼Öξ¥É¥é¥¤¥Ð¡¼¤Ï¾ï¤ËÁö¹Ô´Ä¶Ç§¼±¤È¼Öξ¤ÎÀ©¸æ¤ò¹Ô¤ï¤Ê¤±¤ì¤Ð¤Ê¤é¤Ê¤¤¡¥¸«Íî¤È¤µ¤ì¤¬¤Á¤Êƻϩɸ¼±¤òµ¡³£¤¬¼«Æ°Åª¤Ë¸¡½Ð¡¤Ç§¼±¤¹¤ë¥·¥¹¥Æ¥à¤¬¤Ç¤¤ì¤Ð¡¤¥É¥é¥¤¥Ð¡¼¤ÎÉéô·Ú¸º¤Ë¤Ä¤Ê¤¬¤ë¡¥¤¹¤Ç¤Ë½¾Íè¼êË¡¤Ë¤ª¤¤¤ÆÆ»Ï©É¸¼±¤Î2ÃͲ½²èÁü¤ËŬÍѤ¹¤ë¼êË¡¤Ë¤Ä¤¤¤ÆÄ󰯤·¤Æ¤¤¤ë¡¥¤·¤«¤·¡¤½¾Íè¼êË¡¤Ç¤ÏÆÃÄê¿§Ãê½Ð¤Î·ë²Ì¤Ç¤¢¤ë¿§Ê¬ÉÛ´Ø¿ô¤Ë¤è¤Ã¤ÆÀ¸À®¤µ¤ì¤¿Ç»Ã¸²èÁü¤ò2ÃͲ½¤·¤Æ¤¤¤¿¤¿¤á¡¤¿§Ê¬ÉÛ´Ø¿ô¤Î͸úÀ¤ò³è¤«¤¹¤³¤È¤¬¤Ç¤¤Æ¤¤¤Ê¤¤¡¥¤½¤³¤Ç¡¤ËÜÏÀʸ¤Ç¤Ï¿§Ê¬ÉÛ´Ø¿ô¤Î͸úÀ¤ò³è¤«¤¹¤¿¤á¡¤Ç»Ã¸²èÁü¤ËÂФ·¤ÆÄ¾ÀÜŬÍѤǤ¤ë¼êË¡¤òÄ󰯤¹¤ë¡¥ |
| Âê̾ | A Real-Time Parallel Architecture for Human Face Detection Based on the Algorithm Architecture Adequation Approach |
| Ãø¼Ô | *Dmitriev Ivan(Graduate School of Information, Production and Systems, Waseda University), Grandpierre Thierry, Akil Mohamed(ESIEE, A2SI Laboratory), Ghorayeb Hicham(ENSMP, CAOR Laboratory), Satoshi Goto, Takeshi Ikenaga(Graduate School of Information, Production and Systems, Waseda University) |
| Page | pp. 253 - 258 |
| Keyword | Algorithm Architecture Adequation, real-time parallel architecture, AdaBoost , face detection, real-time scalable architecture |
| Abstract | Today the human face detection is an essential part of bio-medical and security equipment. Following the introduction of AdaBoost and new methodologies ¡¦such as SVM, the human face detection shows a steady increase in diversity of its applications, but mainly in software form. This work focuses on the optimizations of AdaBoost/CA algorithm from CAOR for its implementation in hardware architecture and the application of Algorithm Architecture Adequation (AAA) methodology for the development of a real-time scalable parallel architecture prototype. Real-time performance is achieved by fully extracting and exploring the data and command parallelism, using the AAA approach, and the scalability is maintained by the use of generic components. The architecture prototype is capable of real time processing and it is scalable for images from 160 * 120 till 1920 * 1440 pixels. |
| Âê̾ | ¦¤¦²·¿1¥Ó¥Ã¥È¥Ç¥£¥¸¥¿¥ë¿®¹æ¤òÍѤ¤¤¿Ä¶²»Çȵ÷Î¥·×¬¤Ë¤ª¤±¤ë¥»¥ó¥µ¿®¹æ½èÍý |
| Ãø¼Ô | *Ê¿ÅÄ ¿µÇ·²ð, ¹õß· ¼Â(Åìµþ¹©¶ÈÂç³Ø Áí¹çÍý¹©³Ø¸¦µæ²Ê), ÊÒ¶Í ¿ò(¤¹¤Æ¤¤Ê (Í)) |
| Page | pp. 259 - 264 |
| Keyword | ¦¤¦²ÊÑÄ´, Áê¸ßÁê´Ø, °Üưʿ¶Ñ, Ͳ»Çȷ׬ |
| Abstract | Ͳ»ÇÈ¥»¥ó¥µ¤òÍѤ¤¤¿µ÷Î¥·×¬¥·¥¹¥Æ¥à¤Ë¡¤¥³¥¦¥â¥ê¤Î¥¨¥³¡¼¥í¥±¡¼¥·¥ç¥ó¤Î¹©³ØÅª¤Ê±þÍѤò¸¡Æ¤¤·¤Æ¤¤¤ë¡¥ÂоݤȤε÷Î¥¤Ï¡¤Á÷¿®¤·¤¿Ä¶²»ÇȤȤ½¤Î¥¨¥³¡¼¤È¤ÎÁê¸ßÁê´Ø¤ò¤È¤ê¡¤·×¬¤·¤¿¥¨¥³¡¼¤ÎÈô¹Ô»þ´Ö¤«¤éµá¤á¤ë¡¥¿ô¦Ìm¤Îµ÷Υʬ²òǽ¤òÆÀ¤ë¤¿¤á¤Ë¤Ï¡¤¿ô½½ns¤È¤¤¤¦»þ´Öʬ²òǽ¤¬É¬ÍפǤ¢¤ë¡¥¤½¤Î¤¿¤á¿ô½½MHz¤È¤¤¤¦¹â¤¤¼þÇÈ¿ô¤Ç¥µ¥ó¥×¥ê¥ó¥°¤ò¹Ô¤¦É¬Íפ¬¤¢¤ë¡¥ËÜÏÀʸ¤Ç¤Ï¡¤¥»¥ó¥µ¿®¹æ½èÍý¤ÎÉéô·Ú¸º¤òÌÜŪ¤È¤·¡¤¦¤¦²·¿£±¥Ó¥Ã¥È¥Ç¥£¥¸¥¿¥ë¿®¹æ¤ÇÁê¸ßÁê´Ø¤ò¤È¤ë¼êË¡¤òÄ󰯤¹¤ë¡¥¤½¤·¤Æ¥Ó¥Ã¥È¥¹¥È¥ê¡¼¥àƱ»Î¤ÎÀÑϱ黻¤«¤éµ÷Î¥·×¬¤¬²Äǽ¤Ç¤¢¤ë¤«¸¡¾Ú¤¹¤ë¡¥¤µ¤é¤Ë¦¤¦²ÊÑÄ´¤Ë¤è¤ë¹â¼þÇÈ»¨²»¤ò¼è¤ê½ü¤¯¼êË¡¤òÄ󰯤·¡¤Áê¸ßÁê´Ø¤ÎÀºÅÙ¤Îɾ²Á¤ò¹Ô¤¦¡¥ |
| Âê̾ | A Performance Optimized Architecture of Deblocking Filter in H.264/AVC |
| Ãø¼Ô | *Kyeong-Yuk Min, Jong-Wha Chong(CAD&SoC design lab., Hanyang University) |
| Page | pp. 265 - 270 |
| Keyword | deblocking filter, H.264/AVC |
| Abstract | In this paper, we propose memory and performance optimized architecture to accelerate the operation speed of adaptive deblocking filter for H.264/JVT/AVC video coding. The proposed deblocking filter executes loading/storing and filtering operations with only 192 cycles for 1 acroblock. Only 2x4x4 internal buffers and 32x16 internal SRAM are adopted for the buffering operation of deblocking filter with I/O bandwidth of 32 bit. The proposed architecture can process the filtering operation for 1 macroblock with less filtering cycles and lower memory sizes than some conventional approaches of realizing deblocking filter. The efficient hardware architecture is implemented with novel data arrangement, hybrid filter scheduling and minimum number of buffer. The proposed architecture is suitable for low cost and real-time applications, and the real-time decoding with 1080HD(1920x1088@30fps) can be easily achieved when working frequency is 70 MHz. |
| Âê̾ | °Û¼ï¥³¡¼¥ÉºÇŬ²½ÊýË¡¤òÅý¹ç¤¹¤ë¤¿¤á¤Î¥³¥ó¥Ñ¥¤¥é¹½À®¤Ë´Ø¤¹¤ë°ì¹Í»¡ |
| Ãø¼Ô | *¶â»Ò ͺʿ, ¿ùÌî Īɧ(Åìµþ¹©¶ÈÂç³Ø) |
| Page | pp. 271 - 276 |
| Keyword | ºÇŬ²½ÊýË¡, VLIW |
| Abstract | VLIW ·¿¤Î¥×¥í¥»¥Ã¥µ¤òÂоݤȤ¹¤ë¤È¤¤Ë¡¢ÆþÎÏ¥×¥í¥°¥é¥à¤ËÂФ·¤Æ¤¤¤¯¤Ä¤«¤ÎºÇŬ²½ÊýË¡¤òÁȤ߹ç¤ï¤»¤ÆÅ¬ÍѤ¹¤ë¤¿¤á¤Î¥³¥ó¥Ñ¥¤¥é¹½À®¤òÄ󰯤·¤¿¡£Ê£¿ô¤ÎºÇŬ²½ÊýË¡¤òŬÍѤ¹¤ë¤³¤È¤Ï¡¢¤¢¤ëºÇŬ²½ÊýË¡¤ÎŬÍѤˤè¤Ã¤ÆÂ¾¤ÎºÇŬ²½ÊýË¡¤Î¸úΨ¤òÎô²½¤µ¤»¤ë²ÄǽÀ¤¬¤¢¤ë¤¿¤á¤Ë¡¢Èó¾ï¤Ëº¤Æñ¤Ê²ÝÂê¤Ç¤¢¤ë¡£ËܹƤǤϡ¢³ÆºÇŬ²½ÊýË¡¤òŬÍѤ¹¤ëÆþÎÏ¥×¥í¥°¥é¥à¤Î¸Ä½ê¤òŪ³Î¤ËÄê¤á¤Æ¡¢ºÇŬ²½ÊýË¡´Ö¤Î¥È¥ì¡¼¥É¥ª¥Õ¤òÍÞÀ©¤¹¤ë¤è¤¦¤Ê¥³¥ó¥Ñ¥¤¥é¹½À®¤òÄ󰯤¹¤ë¡£ |
| Âê̾ | MIMO-OFDM̵ÀþLAN¥·¥¹¥Æ¥à¤ÎFPGA¼ÂÁõ¤Ë´Ø¤¹¤ë°ì¸¡Æ¤ |
| Ãø¼Ô | Ä¹Èø ͦʿ, »ûËÜ ¾¼¹¨(¶å½£¹©¶ÈÂç³ØÂç³Ø±¡¾ðÊ󹩳ظ¦µæ²Ê), °æ¾å ¿¿¸ã, *¹õºê Àµ¹Ô, ÈøÃÎ Çî(¶å½£¹©¶ÈÂç³ØÅŻҾðÊ󹩳زÊ) |
| Page | pp. 277 - 282 |
| Keyword | IEE802.11n, FPGA, ̵ÀþLAN, MIMO, LDPC |
| Abstract | ¸½ºß¡¤É¸½à²½³èư¤¬¹Ô¤ï¤ì¤Æ¤¤¤ë̵ÀþLANµ¬³ÊIEEE802.11n¤Ï¡¤PHYÁؤª¤è¤ÓMACÁؤγÈÄ¥¤Ë¤è¤ê¡¤100Mbps°Ê¾å¤Î¼Â¸ú¥¹¥ë¡¼¥×¥Ã¥È¤òÌÜɸ¤È¤·¤Æ¤¤¤ë.ÆÃ¤ËPHYÁؤˤª¤¤¤Æ¤Ï¡¤MIMO-OFDMÅÁÁ÷¤äLDPCÉ乿¤Ê¤É¤Î¹âÅ٤ʿ®¹æ½èÍý¤òɬÍפȤ¹¤ëµ»½Ñ¤¬ºÎÍѤµ¤ì¤Æ¤ª¤ê¡¤Â絬ÌϤʲóÏ©¤¬É¬ÍפȤʤ롥ɮ¼Ô¤é¤Ï¡¤Â絬ÌϤÊMIMO¥·¥¹¥Æ¥à¤Î¤¿¤á¤ÎFPGAɾ²Á¥Ü¡¼¥É¤Î³«È¯¤ò¹Ô¤Ã¤Æ¤ª¤ê¡¤ËÜÏÀʸ¤ÏIEEE802.11nµ¬³Ê¤Ë½àµò¤¹¤ëMIMO-OFDM̵ÀþLAN¥·¥¹¥Æ¥à¤ÎÂ絬ÌÏFPGA¤Ø¤Î¼ÂÁõ¤Ë¤Ä¤¤¤ÆÊó¹ð¤¹¤ë.¤Þ¤¿ËÜÏÀʸ¤Ï¡¤FPGA¼ÂÁõ¤Ë¸þ¤±¤¿¸ÇÄê¾®¿ôÅÀ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Îɾ²Á¤Ë¤Ä¤¤¤Æ¤âÊó¹ð¤¹¤ë. |
| Âê̾ | Æ©²áͲ»ÇȤòÍѤ¤¤¿¹Ýºà¤Î·ç´Ù¸¡½Ð¤Ë´Ø¤¹¤ë´ðÁø¦µæ |
| Ãø¼Ô | ÌðÅç Ë®¾¼(ÀçÂæÅÅÇȹ©¶È¹âÅùÀìÌç³Ø¹»), È« ·½Í¤(Ĺ²¬µ»½Ñ²Ê³ØÂç³Ø), *»³¸ý µ®ÆÁ(ÀçÂæÅÅÇȹ©¶È¹âÅùÀìÌç³Ø¹»), ÅÄ»³ ŵÃË(´ä¼êÂç³Ø) |
| Page | pp. 283 - 288 |
| Keyword | ²èÁüºÆ¹½À®, WMRË¡, ÅÁÇÅ»þ´Ö, ¸º¿êÎÌ |
| Abstract | ½¾Íè¤ÎÈóÇ˲õ¸¡ºº¤Ç¤¢¤ë¥Ñ¥ë¥¹¥¨¥³¡¼¤ä¶áǯ³«È¯¤µ¤ì¤¿¥Õ¥§¡¼¥º¥É¥¢¥ì¥¤¤È¤Ï°Û¤Ê¤ê¡¢¸¡ººÂоݤòÆ©²á¤·¤¿Ä¶²»ÇȤÎÅÁÇÅ»þ´Ö¤È¸º¿ê¾ðÊ󤫤鲻®ʬÉۤȸº¿ê¾ðÊó¤ò²èÁüºÆ¹½À®¤·¡¢ÆâÉô¤ò²Ä»ë²½¤¹¤ëÊýË¡¤òÄ󰯤¹¤ë¡£¶Ë¤á¤Æ¾¯¤Ê¤¤ÅÁÇÅ»þ´Ö¥Ç¡¼¥¿¤«¤éÆâÉô¤ò²Ä»ë²½¤¹¤ë¤³¤È¤¬²Äǽ¤Ç¤¢¤ëWMRË¡¤Ë¤è¤êÆâÉô¤ò²Ä»ë²½¤¹¤ë¤³¤È¤Ë¤è¤ê¡¢¸¡ºº°÷¤Î·Ð¸³¤Ë¤è¤ëÉʼÁ¤Î¤Ð¤é¤Ä¤¤¬¤Ê¤¯¤Ê¤ê¡¢ÄêÎÌŪ¤Êɾ²Á¤¬²Äǽ¤È¤Ê¤ë¡£ |
| Âê̾ | Cell¥×¥í¥»¥Ã¥µ¤òÍѤ¤¤¿EM¥¢¥ë¥´¥ê¥º¥à¤ÎÊÂÎó½èÍý |
| Ãø¼Ô | *ÆóÅÄ À²É§, ¼¾¾ Àµ¸ã, µÆÃÓ µ×ÏÂ(¿·³ãÂç³Ø¹©³ØÉô) |
| Page | pp. 289 - 293 |
| Keyword | Cell¥×¥í¥»¥Ã¥µ, ÊÂÎó½èÍý, EM¥¢¥ë¥´¥ê¥º¥à |
| Abstract | Ëܸ¦µæ¤Ç¤Ï¡¤EM¥¢¥ë¥´¥ê¥º¥à¤Ë¤è¤ëº®¹çÀµµ¬Ê¬ÉÛ¿äÄê¥â¥¸¥å¡¼¥ë¤ÎCell¥×¥í¥»¥Ã¥µ¤Ø¤Î¼ÂÁõ¤ÈÀǽɾ²Á¤ò¹Ô¤Ê¤¦¡¥º£Æü¤ÎCPU¤ÎÀǽ¸þ¾å¤Ï¡¤¥¯¥í¥Ã¥¯¼þÇÈ¿ô¤ò¹â¤á¤ë¤³¤È¤Ç¤Ê¤¯¡¤1¤Ä¤Î¥×¥í¥»¥Ã¥µÆâ¤Ë¿¤¯¤Î¥³¥¢(¥Þ¥ë¥Á¥³¥¢)¤òÅëºÜ¤¹¤ë¤³¤È¤ÇãÀ®¤·¤Æ¤¤¤ë¡¥¤½¤Î¤è¤¦¤Ê¥Þ¥ë¥Á¥³¥¢¥×¥í¥»¥Ã¥µ¤Î1¤Ä¤ËCell¥×¥í¥»¥Ã¥µ¤¬¤¢¤ë¡¥Cell¥×¥í¥»¥Ã¥µ¤Ï¡¤¥×¥í¥»¥Ã¥µ¤ÎÃæ¤Ë1¸Ä¤ÎÈÆÍÑŪ¥³¥¢(PPE)¤È¡¤8¸Ä¤ÎÊä½õŪ¤Ê¥³¥¢(SPE)¤ò»ý¤Ä¥Ø¥Æ¥í¥¸¥Ë¥¢¥¹¥Þ¥ë¥Á¥³¥¢¤Ç¤¢¤ê¡¤3.2 GHzưºî¤Ç200 GFlops°Ê¾å¤ÎÀǽ¤ò»ý¤Ä¡¥Ä󰯤¹¤ë¥â¥¸¥å¡¼¥ë¤ÏǤ°Õ¤Î¸Ä¿ô¤ÎSPE¤òÍѤ¤¤ÆÊÂÎó¤Ë½èÍý¤¬¹Ô¤¨¤ë¤è¤¦¤ËÀ߷פò¹Ô¤Ê¤¦¡¥¤½¤·¤Æ¡¤6¸Ä¤ÎSPE¤ò»ÈÍѤ·¤¿¤È¤¡¤81.8[\%]¤È¤¤¤¦¹â¤¤ÊÂÎ󲽸úΨ¤òÊݤÁ·×»»¤ò¹Ô¤Ê¤¨¤ë¤³¤È¤ò¼¨¤¹¡¥ |
| Âê̾ | ¹â½¸ÀѲÄǽ¤Ê¥½¥Õ¥È¥â¥¸¥å¡¼¥ë¸þ¤±Fixed-Outline¥Õ¥í¥¢¥×¥é¥ó¥Ê |
| Ãø¼Ô | *»³¹ø ͳµªÉ×, µÈ¼ ÌÔ, ÃÓ±Ê ¹ä, ¸åÆ£ ÉÒ(Áá°ðÅÄÂç³ØÂç³Ø±¡¾ðÊóÀ¸»º¥·¥¹¥Æ¥à¸¦µæ²Ê) |
| Page | pp. 295 - 300 |
| Keyword | ¥Õ¥í¥¢¥×¥é¥ó, ¥½¥Õ¥È¥â¥¸¥å¡¼¥ë, Fixed-Outline, Small dead space |
| Abstract | ²æ¡¹¤Ï¥½¥Õ¥È¥â¥¸¥å¡¼¥ë¸þ¤±¤ÎFixed-Outline¥Õ¥í¥¢¥×¥é¥ó¥Ê¤ò³«È¯¤·¤¿¡£¥Õ¥í¥¢¥×¥é¥ó¥Ê¤Ï¡¢2¤Ä¤ÎÉôʬ¤Ë¤è¤ê¹½À®¤µ¤ì¤Æ¤¤¤ë¡£1¤Ä¤Ï¡¢¿Ê²½Åª¥¢¥ë¥´¥ê¥º¥à¤Ë¤è¤ë¥â¥¸¥å¡¼¥ë¤Î½é´üÇÛÃ֤κîÀ®¤Ç¤¢¤ë¡£Dead space¤Î¾®¤µ¤¤¥Õ¥í¥¢¥×¥é¥ó¤ò¹â®¤ËÀ¸À®¤¹¤ë¤¿¤á¤Ë¡¢¡È»Ò¤ÎÀ¸À®¡É¤Ë¤ª¤¤¤ÆSpace-Oriented-Move¤È¤¤¤¦ÆÈ¼«¤ÎÀÝÆ°¤ò¼è¤êÆþ¤ì¤¿¡£¤â¤¦1¤Ä¤Ï¡¢½é´üÇÛÃÖ¤ËÂФ¹¤ë¡¢slackÃͤ˴ð¤Å¤¤¤¿¥â¥¸¥å¡¼¥ë·Á¾õ¤ÎÊѲ½¤Î¤ß¤Ë¤è¤ë¡¢ÇÛÃÖ¤Îdead space¤Îºï¸º¤Ç¤¢¤ë¡£¥Ù¥ó¥Á¥Þ¡¼¥¯¤Îɾ²Á·ë²Ì¤«¤é¡¢²æ¡¹¤Î¥Õ¥í¥¢¥×¥é¥ó¥Ê¤Ï¡¢¤¤¤Þ¤Þ¤ÇÊó¹ð¤µ¤ì¤¿¥Õ¥í¥¢¥×¥é¥ó¥Ê¤ÈÈæ³Ó¤·¤Æ¡¢Fixed-OutlineÀ©Ìó¤òËþ¤¿¤·¤Ê¤¬¤éÈó¾ï¤Ë¾®¤µ¤Êdead space¤Î¥Õ¥í¥¢¥×¥é¥ó¤ò¼Â¸½¤¹¤ë¤³¤È¤¬½ÐÍ褿¡£ÆÃ¤Ë¡¢GSRC¥Ù¥ó¥Á¥Þ¡¼¥¯¤În100,n200µÚ¤Ón300¤ËÂФ·¤Æ¤Ï¡¢Ìó95¡ó¤Î»î¹Ô¤ËÂФ·¤Æ3¡ó°Ê²¼¤Îdead space¤ò¼Â¸½¤¹¤ë¤³¤È¤¬½ÐÍ褿¡£ |
| Âê̾ | ¼þ´üŪ¤Ë·«¤êÊÖ¤¹ÇÛÃ֤θúΨŪ¤Êɽ¸½ÊýË¡ |
| Ãø¼Ô | *Àи¶ ·¼Í´(ÅìµþÇÀ¹©Âç³ØÂç³Ø±¡ Åŵ¤ÅŻҹ©³ØÀì¹¶), °©ºä ζÆÁ(ÅìµþÇÀ¹©Âç³Ø ¹©³ØÉô Åŵ¤ÅŻҹ©³Ø²Ê), Æ£µÈ Ë®ÍÎ(ÅìµþÇÀ¹©Âç³ØÂç³Ø±¡) |
| Page | pp. 301 - 306 |
| Keyword | sequence-triple, sequence-pair, ·«¤êÊÖ¤·ÇÛÃÖ, ÁêÂаÌÃÖ´Ø·¸ |
| Âê̾ | Fujimaki-Takahashi Squeeze :À©Ìó¥°¥é¥Õ¤ÎÀþ·Á»þ´Ö¹½À® |
| Ãø¼Ô | *¹â¶¶ ½Óɧ, Æ£´¬ μ(¿·³ãÂç³ØÂç³Ø±¡¼«Á³²Ê³Ø¸¦µæ²Ê) |
| Page | pp. 307 - 311 |
| Keyword | ¥Õ¥í¥¢¥×¥é¥ó, ɽ¸½Ë¡, ½çÎó, ÎÙÀÜ´Ø·¸ |
| Abstract | ¥Õ¥í¥¢¥×¥é¥ó¤È¤Ï¶ë·Á¤ò¿åÊ¿Àþʬ¤ª¤è¤Ó¿âľÀþʬ¤Ë¤è¤ê¡¢´ö¤Ä¤«¤Î¶ë·Á¤ØºÙʬ¤·¤¿¤â¤Î¤Ç¤¢¤ë¡£Æ£´¬-¹â¶¶¤Ë¤è¤ê¡¢Éô²°Æ±»Î¤ÎÎÙÀÜ´Ø·¸¤ò¹Íθ¤·¤¿¥Õ¥í¥¢¥×¥é¥ó¤¬n-½çÎó(1¤«¤én¤Þ¤Ç¤Î¿ô¤Î½çÎó)¤Ë¤è¤Ã¤ÆÉ½¸½¤Ç¤¤ë¤³¤È¤¬¼¨¤µ¤ì¤¿¡£ËÜÊó¹ð¤Ç¤Ï¡¢n-½çÎó¤Ë¤è¤Ã¤ÆÍ¿¤¨¤é¤ì¤¿¥Õ¥í¥¢¥×¥é¥ó¤Î³ÆÉô²°¤È»ÅÀÚ¤ê¤Î¿åÊ¿¤ª¤è¤Ó¿âľÀ©Ìó¥°¥é¥Õ¤¬O(n)»þ´Ö¤Ç¹½À®¤Ç¤¤ë¤³¤È¤ò¼¨¤¹¡£ |
| Âê̾ | Symmetry-Oriented Structured Placement for Analog Layouts |
| Ãø¼Ô | *Qing Dong, Shigetoshi Nakatake(Department of Information and Media Sciences, University of Kitakyushu) |
| Page | pp. 313 - 318 |
| Keyword | placement, analog layout, symmetry, regularity, sequence-pair |
| Abstract | The structured placement is a novel concept to provide a structural domain with the topological regularity for analog placement. In this paper, we focus on the topological symmetricity and present a structural domain with a complete topological symmetry, where every block composes either self-symmetry or symmetrypair. Unlike the existing constraint-driven approaches, this structural domain enables us to generate a symmetrical placement without any constraint. The domain is represented by Single-Sequence as well as a placement based on the domain is done by Sequence-Pair. We utilize simulated annealing as the framework of the optimization, where we propose move operations for keeping topological symmetricity. Besides, we incorporate other regularity such as array and row as evaluation of placement. In experiments, we showed that our approach generated complete topological placements without much compromise on chip area and wire length, compared to the placements with no symmetry. |
| Âê̾ | (¾·ÂÔ)ÏÀÍý²óÏ©¤ËÂФ¹¤ë¹âÉʼÁÃÙ±ä¥Æ¥¹¥È |
| Ãø¼Ô | *³á¸¶ À¿»Ê(¶å½£¹©¶ÈÂç³Ø) |
| Page | pp. 319 - 324 |
| Keyword | ÃÙ±ä¥Æ¥¹¥È, ¥Æ¥¹¥ÈÀ¸À®, £Ó£Ä£Ñ£Í, ÏÀÍý²óÏ© |
| Abstract | ÈùºÙ²½µ»½Ñ¤Î¿ÊÊâ¤Ëȼ¤¤¡¢À½Â¤¤·¤¿²óÏ©¤Î¥¿¥¤¥ß¥ó¥°Æ°ºî¤Ë±Æ¶Á¤òµÚ¤Ü¤¹¸Î¾ã¤¬ÌäÂê¤È¤Ê¤Ã¤Æ¤¤¤ë¡£ËܹƤǤϡ¢ÏÀÍý²óÏ©¤ÎÃÙ±ä¥Æ¥¹¥È¤Ë´Ø¤¹¤ë´ðËܵ»½Ñ¤ÈºÇ¶á¤ÎÏÃÂê¤Ë¤Ä¤¤¤Æ³µÀ⤹¤ë¡£¤Þ¤º¡¢ÂåɽŪ¤ÊÃÙ±ä¸Î¾ã¤Î¥â¥Ç¥ë¤ò¾Ò²ð¤¹¤ë¡£¼¡¤Ë¡¢¥¹¥¥ã¥óµ¡Ç½¤ò»È¤Ã¤¿¼Â®Å٥ƥ¹¥ÈË¡¤ò¾Ò²ð¤¹¤ë¡£ÃÙ±ä¤ÎÂ礤µ¤ò¹Íθ¤ËÆþ¤ì¤¿ÃÙ±ä¥Æ¥¹¥È¤Î¥Æ¥¹¥ÈÉʼÁɾ²ÁÊýË¡¤È¤·¤ÆÃΤé¤ì¤Æ¤¤¤ëSDQM (Statistically Delay Quality Model)¤ò¾Ò²ð¤·¤¿¸å¡¢ÃÙ±ä¸Î¾ã¸¡½ÐÎϤò¹â¤á¤ë¤¿¤á¤Î¥Æ¥¹¥ÈÀ¸À®¼êË¡¤ò½Ò¤Ù¤ë¡£ |
| Âê̾ | Issue Mechanism for Embedded Simultaneous Multithreading Processor |
| Ãø¼Ô | *Chengjie Zang(Áá°ðÅÄÂç³ØÂç³Ø±¡ ¾ðÊóÀ¸»º¥·¥¹¥Æ¥à¸¦µæ²Ê), Shigeki Imai(¥·¥ã¡¼¥×³ô¼°²ñ¼Ò), Shinji Kimura(Áá°ðÅÄÂç³ØÂç³Ø±¡ ¾ðÊóÀ¸»º¥·¥¹¥Æ¥à¸¦µæ²Ê) |
| Page | pp. 325 - 330 |
| Keyword | simultaneous multithreading, instruction flag, predicate register, balanced round-robin issue policy |
| Abstract | Simultaneous Multithreading (SMT) technology enhances instruction throughput by issuing multiple instructions from multiple threads within one clock cycle. For in-order pipeline to each thread, SMT processors can provide large number of issued instructions close to or surpass than using out-of-order pipeline. In this work, we show an efficient issue logic for predicated instruction sequence with the parallel flag at each instruction, where the predicate register based issue control is adopted and the continuous instructions with the parallel flag of '0' are executed in parallel. The flag is pre-defined by a compiler. Instructions from different threads are issued based on the round-robin order. We also introduce an Instruction Queue skip mechanism for thread if the queue is empty. Using this kind of issue logic, we designed a 6 threads, 7-stage, in-order pipeline processor. Based on this processor, we compare round-robin issue policy(RR(T1-Tn)) with other policies: thread one always has the highest priority(PR(T1)) and thread one or thread n has the highest priority in turn(PR(T1-Tn)). The results shown that RR(T1-Tn) policy outperforms others and PR(T1-Tn) is almost the same to RR(T1-Tn) from the point of view of the issued instructions per cycle. |
| Âê̾ | ¹â¸úΨMessage-Passing¥¹¥±¥¸¥å¡¼¥ë¤òÍѤ¤¤¿LDPCÉü¹æ´ï¤ÎÄã¾ÃÈñÅÅÎϲ½ |
| Ãø¼Ô | *À¶¿å °ìÈÏ, ¸ÍÀî ˾, ÃÓ±Ê ¹ä, ¸åÆ£ ÉÒ(Áá°ðÅÄÂç³Ø) |
| Page | pp. 331 - 336 |
| Keyword | LDPCÉ乿, ¹â¸úΨMessage-Passing¥¹¥±¥¸¥å¡¼¥ë |
| Abstract | ËܹƤǤϡ¤¹â¸úΨMessage-Passing¥¹¥±¥¸¥å¡¼¥ë¤òŬÍѤ·¤¿LDPCÉü ¹æ´ï¤Î¾ÃÈñÅÅÎϤòºï¸º¤¹¤ë¤¿¤á¤Ë¡¤(1) min-sumË¡¤¬½ÐÎϤ¹¤ëÌàÅÙ¾ðÊó¤Î°µ½Ì¼êË¡¡¤(2) Ê£¿ô¤Î°µ½ÌÌàÅÙ¾ðÊó¤ò1¥¯¥í¥Ã¥¯¤ÇÎó½èÍý¥â¥¸¥å¡¼¥ë¤Ë½ÐÎϤ¹¤ë¤³¤È¤¬²Äǽ¤Ê¥Ï¡¼¥É¥¦¥§¥¢¤È¤½¤ÎÄã¾ÃÈñÅÅÎϲ½¼êË¡¡¤¤òÄ󰯤¹¤ë¡¥TSMC 0.18um CMOS¥Æ¥¯¥Î¥í¥¸¤òÍѤ¤¤Æ¾ÃÈñÅÅÎϤò¬Äꤷ¤¿·ë²Ì¡¤Ä󰯼êË¡¤òŬÍѤ¹¤ë¤³¤È¤Ë¤è¤ê¡¤min-sumË¡¤¬½ÐÎϤ¹¤ëÌàÅÙ¾ðÊó¤òÊÝ»ý¤¹¤ë¥Ï¡¼¥É¥¦¥§¥¢¤Î¾ÃÈñÅÅÎϤòÌóȾʬ¤Ëºï¸º¤Ç¤¡¤ÌàÅÙ¾ðÊó¤ÎÎ̻Ҳ½¥Ó¥Ã¥È¿ô¤ä¹Ô½Å¤ß¤ÎÁý²Ã¤ËÂФ¹¤ë¡¤¾ÃÈñÅÅÎϤÎÁý²Ãʬ¤â¸Â¤ê¤Ê¤¯¾®¤µ¤¯ÍÞ¤¨¤ë¤³¤È¤¬²Äǽ¤Ç¤¢¤ë¤³¤È¤ò³Îǧ¤·¤¿¡¥ |
| Âê̾ | ¥µ¥Ö¥¹¥ì¥Ã¥·¥ç¥ë¥ÉMOS²óÏ©¤Ë¤è¤ë¤·¤¤¤ÏÀÍý¥·¥¹¥Æ¥à |
| Ãø¼Ô | *¾®Àî ÂÀ°ì, ×¢À¥ ůÌé, Àõ°æ ůÌé, ±«µÜ ¹¥¿Î(Ë̳¤Æ»Âç³Ø ¾ðÊó²Ê³Ø¸¦µæ²Ê) |
| Page | pp. 337 - 341 |
| Keyword | ¥µ¥Ö¥¹¥ì¥Ã¥·¥ç¥ë¥É, ¤·¤¤¤ÏÀÍý, Äã¾ÃÈñÅÅÎÏ, MOS |
| Abstract | ¶áǯ¤Î¾ðÊó¥Í¥Ã¥È¥ï¡¼¥¯¼Ò²ñ¤Î¿ÊŸ¤Ë¤È¤â¤Ê¤¤¡¢¥æ¥Ó¥¥¿¥¹¾ðÊó´Ä¶¤Î¼Â¸½¤Ë¸þ¤±¤ÆÂ¿¼ï¿Íͤʥ¤¥ó¥Æ¥ê¥¸¥§¥ó¥È¥»¥ó¥µLSI¤¬Í׵ᤵ¤ì¤ë¤è¤¦¤Ë¤Ê¤Ã¤¿¡£¤³¤ì¤é¤Î¥»¥ó¥µLSI¤Ï¹¤¤Ãϰè¤Ëʬ»¶ÇÛÃÖ¤µ¤ì¡¢¸Â¤é¤ì¤¿¥¨¥Í¥ë¥®¡¼¸»¤ÇĹ´ü´Ö¤Ë¤ï¤¿¤êưºî¤¹¤ë¤³¤È¤¬Í׵ᤵ¤ì¤ë¡£ ¡¡¤³¤Î¤è¤¦¤ÊÄãÅÅÎÏÆ°ºî¤ò¼Â¸½¤¹¤ë¤¿¤á¤Ë¤Ï¡¢MOSÏÀÍý²óÏ©¤ò¥µ¥Ö¥¹¥ì¥Ã¥·¥ç¥ë¥ÉÎΰè¤Çư¤«¤¹É¬Íפ¬¤¢¤ë¡£ËܹƤǤϡ¢¥µ¥Ö¥¹¥ì¥Ã¥·¥ç¥ë¥ÉLSI¤Î³«È¯¤Ë¸þ¤±¤Æ¡¢¹âµ¡Ç½ÏÀÍý¥²¡¼¥È¤Î°ì¤Ä¡Ö¤·¤¤¤ÏÀÍý¥²¡¼¥È¡×¤ò¼Â¸½¤¹¤ë¥µ¥Ö¥¹¥ì¥Ã¥·¥ç¥ë¥ÉMOS²óÏ©¤òÄ󰯤¹¤ë¡£¤µ¤é¤Ë¡¢¤³¤Î¥²¡¼¥È¤òÍѤ¤¤¿¥µ¥Ö¥·¥¹¥Æ¥à¤ÎÎã¤È¤·¤Æ²Ã»»´ï¤òÀ߷פ·¡¢¤½¤Îưºî¤ò¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¾å¤Ç³Îǧ¤¹¤ë¡£ |
| Âê̾ | Optimal Planar Jumping Systolic Array Design for Matrix Multiplication |
| Ãø¼Ô | *ÍÌ ìÖ , ÌÚ¼ ¿¸Æó(Áá°ðÅÄÂç³ØÂç³Ø±¡¾ðÊóÀ¸»º¥·¥¹¥Æ¥à¸¦µæ²Ê) |
| Page | pp. 343 - 348 |
| Keyword | Jumping systolic array, matrix multiplication, fully concurrent operation |
| Abstract | This paper introduces an efficient array construction method for optimal planar systolic design for matrix multiplication. The basic idea is connection network adjustment among processing element (PE) array. Then the input/output data are jumping in the systolic array for multiplication operation requirements. The proposed ¡ÈJumping Systolic Array (JSA)¡É method increases matrix multiplication speed with less processing elements and few data registers. New systolic arrays, such as square jumping array, redundant dummy latency jumping hexagonal array, and compact parallel flow jumping hexagonal array, are also presented to improve system operation efficiency. Experimental results are given to demonstrate that jumping systolic array can realize fully concurrent operation and dominate other systolic architectures. |
| Âê̾ | Parallel Prefix Adder ¹çÀ®¤òÍѤ¤¤¿¾è»»´ï¤ÎºÇŬ²½¼êË¡¤Ë¤Ä¤¤¤Æ |
| Ãø¼Ô | *¾¾±Ê ¿ÉÄ»Ò(Ê¡²¬ÃÎŪ¥¯¥é¥¹¥¿¡¼¸¦µæ½ê), ¾¾±Ê ͵²ð(¶å½£Âç³Ø) |
| Page | pp. 349 - 354 |
| Keyword | ¾è»»´ï, parallel prefix adder, ±é»»´ï¹çÀ®, wallace tree |
| Abstract | ËÜÏÀʸ¤Ç¤Ï¡¢¥¿¥¤¥ß¥ó¥°À©Ì󲼤ǤÎÌÌÀѺǾ®²½¤òÌÜŪ¤È¤·¤¿parallel prefix adder¹çÀ®ÌäÂê¤òÂоݤȤ¹¤ë¡£¥Æ¥¯¥Î¥í¥¸¤Ë°Í¸¤·¤Ê¤¤¥ì¥Ù¥ë¤Ç¤Îparallel prefix adder¤Î³µÎ¬¹½Â¤¤Ï¡¢prefix graph¤È¤·¤ÆÉ½¸½¤Ç¤¤ë¡£¤½¤³¤Ç¡¢ÂоÝÌäÂê¤òprefix graph½¸¹ç¤ËÂФ¹¤ëõº÷ÌäÂê¤È¤·¤Æ¤È¤é¤¨¡¢¤¢¤ëÀ¼Á¤ò¤â¤Äprefix graphÉôʬ½¸¹ç¤òÂоݤȤ·¤¿Æ°Åª·×²èË¡¤Ë´ð¤Å¤¯ÌÌÀѺǾ®²½¡¢µÚ¤Ó¡¢¥°¥é¥Õ¤ÎºÆ¹½Ãۤˤè¤ëÌÌÀѺ︺¤Î£²Ãʳ¬¤«¤é¼Â¸½¤µ¤ì¤ë¼êË¡¤òÄ󰯤¹¤ë¡£¤Þ¤¿¸½¼ÂŪ¤ÊŬÍÑÎã¤È¤·¤Æ¡¢ÊÂÎó¾è»»´ï¤ÎºÇ½ªÃʲû»´ï¤ò¤È¤ê¤¢¤²¡¢ËܼêË¡¤òÍѤ¤¤ë¤³¤È¤Ë¤è¤ê¡¢¾è»»´ïºÇŬ²½¤ËÂФ¹¤ë¸ú²Ì¤¬¤¢¤ë¤³¤È¤ò¼¨¤¹¡£ |
| Âê̾ | GF(2m)¾å¤ÎMSB¾è»»´ï¤ò¥Ù¡¼¥¹¤Ë¤·¤¿Âʱ߶ÊÀþ°Å¹æLSI¸þ¤±MSD¾è»»´ï¤Î¼ÂÁõ |
| Ãø¼Ô | *ÆàÎÉ ÎµÂÀ, ¾®¸¶ ½Ó°ï(Áá°ðÅÄÂç³ØÍý¹©³ØÉô¥³¥ó¥Ô¥å¡¼¥¿¡¦¥Í¥Ã¥È¥ï¡¼¥¯¹©³Ø²Ê), À¶¿å °ìÈÏ(Áá°ðÅÄÂç³ØÂç³Ø±¡¾ðÊóÀ¸»º¥·¥¹¥Æ¥à¸¦µæ²Ê), ¸ÍÀî ˾, Ìøß· À¯À¸, ÂçÉí äÉ×(Áá°ðÅÄÂç³ØÍý¹©³ØÉô¥³¥ó¥Ô¥å¡¼¥¿¡¦¥Í¥Ã¥È¥ï¡¼¥¯¹©³Ø²Ê) |
| Page | pp. 355 - 360 |
| Keyword | digit-serial¾è»»´ï, bit-serial¾è»»´ï, MSB¾è»»´ï, MSD¾è»»´ï, Âʱ߶ÊÀþ°Å¹æ |
| Abstract | GF(2m)¤Ë¤ª¤±¤ëdigit-serial¾è»»´ï¤È¤Ï¡¤bit-serial¾è»»¤ò³ÈÄ¥¤·¡¤Ê£¿ô¤Î¥Ó¥Ã¥È¤òƱ»þ¤Ë½èÍý¤¹¤ë¤³¤È¤Ç1¥µ¥¤¥¯¥ë¤¢¤¿¤ê¤Î½èÍýÎ̤òÁý¤ä¤·¤¿¼êË¡¤Ç¤¢¤ë¡¥ËܹƤǤϡ¤MSB(most significant bit)¾è»»´ï¤ò¥Ù¡¼¥¹¤Ë¡¤digit-serial¾è»»´ï¤Î°ì¤Ä¤Ç¤¢¤ëMSD(most significant digit)¾è»»´ï¤òÄ󰯤¹¤ë¡¥ËܼêË¡¤ÏMSB¾è»»´ï¤òdigit¥µ¥¤¥ºD¤À¤±Ä¾Îó¤ËÀܳ¤¹¤ë¤³¤È¤ÇMSD¾è»»´ï¤ò¼ÂÁõ¤Ç¤¤ë¤¿¤á¡¤½¾Íè¤Î¼êË¡¤è¤êÀ߷פ¬ÍưפˤʤꡤÌÌÀѤò¾®¤µ¤¯¤Ç¤¤ë¡¥¤µ¤é¤Ë1²ó¤Î¾è»»¤ËɬÍפʥ¯¥í¥Ã¥¯¥µ¥¤¥¯¥ë¿ô¤òÍÞ¤¨¤ë¤³¤È¤¬¤Ç¤¤ë¡¥Ä󰯼êË¡¤Ë¤è¤ë¾è»»´ï¤òÍѤ¤¤¿Âʱ߶ÊÀþ°Å¹æ½èÍý²óÏ©¤òROHM0.35um¥Æ¥¯¥Î¥í¥¸¤Ç¼ÂÁõ¤·¤¿·ë²Ì¡¤GF(2163)¤Ë¤ª¤±¤ëÂʱ߰Źæ½èÍý¤ò50MHzưºî»þ¤ËÌó0.115ms¤Ç½èÍý¤¹¤ë¤³¤È¤¬¤Ç¤¤¿¡¥ |
| Âê̾ | Counter Tree Diagram¤Ë¤è¤ë¿ÃÍ»»½Ñ±é»»²óÏ©¤ÎºÇŬÀß·× |
| Ãø¼Ô | *½ÐÀî ¾¡É§, ËÜ´Ö ¾°Ê¸, ÀÄÌÚ ¹§Ê¸(ÅìËÌÂç³ØÂç³Ø±¡¾ðÊó²Ê³Ø¸¦µæ²Ê), Èõ¸ý ζͺ(ÅìË̹©¶ÈÂç³Ø¹©³ØÉôÅŻҹ©³Ø²Ê) |
| Page | pp. 361 - 366 |
| Keyword | »»½Ñ±é»»²óÏ©, ¥Ï¡¼¥É¥¦¥§¥¢¥¢¥ë¥´¥ê¥º¥à, ²óÏ©Àß·×, ¿ÃÍÏÀÍý, ¾éĹ¿ô·Ï |
| Abstract | É®¼Ô¤é¤Ï¡¤»»½Ñ±é»»²óÏ©¤Î¥Ï¡¼¥É¥¦¥§¥¢¥¢¥ë¥´¥ê¥º¥à¤Î´ðËܤȤʤë²Ã»»¥¢¥ë¥´¥ê¥º¥à¤Îɽ¸½Ë¡¤È¤·¤Æ¡¤Counter Tree Diagram (CTD) ¤òÄ󰯤·¤Æ¤¤¤ë¡¥ËܹƤǤϡ¤¤³¤ÎCTD¤òÍøÍѤ·¤¿¡¤Â¿ÃÍ»»½Ñ±é»»²óÏ©¤ÎºÇŬÀ߷פˤĤ¤¤Æ½Ò¤Ù¤ë¡¥Ä󰯼êË¡¤Ç¤Ï¡¤¾éĹ¿ô·Ï¤òÍѤ¤¤¿²Ã»»¥¢¥ë¥´¥ê¥º¥à¡Ê¾éĹ²Ã»»¥¢¥ë¥´¥ê¥º¥à¡Ë¤òCTD¤Ë¤è¤Ã¤Æ·ÏÅýŪ¤ËƳ½Ð¤¹¤ë¡¥Æ³½Ð¤·¤¿CTD¤ò²óÏ©Êý¼°¤Ë±þ¤¸¤ÆÅ¬ÀÚ¤ËÁªÂò¤¹¤ë¤³¤È¤Ç¡¤ºÇŬ¤Ê¾éĹ²Ã»»´ï¤ÎÀ߷פ¬²Äǽ¤È¤Ê¤ë¡¥ËܹƤǤϡ¤¾éĹ2¿Ê²Ã»»´ï¤òÅÅή¥â¡¼¥É¿Ãͺ¹Æ°ÏÀÍý¤Ë´ð¤Å¤¯²óÏ©¤ÇÀ߷פ·¡¤¤½¤ÎÀǽ¤òɾ²Á¤¹¤ë¡¥¤³¤Î·ë²Ì¡¤½¾Íè¤è¤ê¤âPDÀѤ¬27¡Á57%ºï¸º¤µ¤ì¤¿¡¤¾éĹ2¿Ê²Ã»»´ï¤ò¼Â¸½¤¹¤ë¤³¤È¤¬¤Ç¤¤¿¡¥ |
| Âê̾ | ¹¶·â¼Ô¤ò¹Íθ¤·¤¿Æ¿Ì¾À¸¡¾ÚË¡ |
| Ãø¼Ô | *²ÏÊÕ µÁ¿®, ݯÅÄ ±Ñ¼ù(ÆüËÜÅÅ¿®ÅÅÏóô¼°²ñ¼Ò NTT¥³¥ß¥å¥Ë¥±¡¼¥·¥ç¥ó²Ê³Ø´ðÁø¦µæ½ê) |
| Page | pp. 367 - 372 |
| Keyword | ¥»¥¥å¥ê¥Æ¥£¸¡¾Ú, ƿ̾À, ·Á¼°¼êË¡, °Å¹æ¥×¥í¥È¥³¥ë, ÄêÍý¾ÚÌÀ |
| Abstract | ¶áǯ¡¤¥¤¥ó¥¿¡¼¥Í¥Ã¥ÈÅÅ»ÒÅêɼ¤Ê¤É¡¤¸Ä¿Í¾ðÊó¤¬Ï³±Ì¤·¤Æ¤Ï¤Ê¤é¤Ê¤¤¥·¥¹¥Æ¥à¤¬Áý¤¨¤Ä¤Ä¤¢¤ë¡¥¤½¤Î¤è¤¦¤Ê¥·¥¹¥Æ¥à¤ò°ÂÁ´¤Ë¹½ÃÛ¤¹¤ë¤Ë¤Ï¡¤Æ¿Ì¾À¤È¸Æ¤Ð¤ì¤ëÀ¼Á¤¬À®¤êΩ¤Ä¤³¤È¤ò¸·Ì©¤ËÊݾڤ¹¤ëɬÍפ¬¤¢¤ë¡¥²æ¡¹¤Ï¡¤·Á¼°¼êË¡¤Ë´ð¤Å¤¡¤Ìµ¸Â¾õÂÖ¥·¥¹¥Æ¥à¤Îƿ̾À¤òÄêÍý¾ÚÌÀ¤¹¤ë¼êË¡¤ò¼¨¤·¤Æ¤¤¤ë¡¥¤·¤«¤·¤³¤ÎÊýË¡¤Ï¡¤Åðݤè¤ê¤â¶¯¤¤¹¶·â¤¬¤¢¤ë¾ì¹ç¤Îƿ̾À¤ò°·¤Ã¤Æ¤¤¤Ê¤«¤Ã¤¿¡¥ËܹƤϡ¤¹¶·â¼Ô¤¬¤¤¤ë¾ì¹ç¤Îƿ̾À¤ò¥È¥ì¡¼¥¹½¸¹ç¤òÍѤ¤¤ÆÄêµÁ¤¹¤ë¡¥¤µ¤é¤Ë¡¤Æ¿Ì¾À¤Î¾ÚÌÀË¡¤òƳÆþ¤¹¤ë¡¥ËܹƤǤϡ¤Å¬ÍÑÎã¤È¤·¤Æ¡¤Æ¿Ì¾ÄÌ¿®Ï©¤Î¼ÂÁõ¤Ç¤¢¤ëCrowds¤ò·Á¼°Åª¤Ë»ÅÍ͵½Ò¤·¡¤Æ¿Ì¾À¤òÄêÍý¾ÚÌÀ¤¹¤ë¡¥ |
| Âê̾ | ¥¤¥ó¥¿¡¼¥ï¡¼¥¯¥Õ¥í¡¼¤Î¥é¥Ù¥ëÉÕ¤WF¥Í¥Ã¥È¥â¥Ç¥ë¤È¿¶¤ëÉñ¤¤·Ñ¾µ¤Ë¤Ä¤¤¤Æ |
| Ãø¼Ô | *»³¸ý ¿¿¸ç(»³¸ýÂç³ØÂç³Ø±¡Íý¹©³Ø¸¦µæ²Ê), À®°æ Ű»Ö(»³¸ýÂç³Ø¹©³ØÉô), ³ë ºê°Î(»³¸ýÂç³Ø¶µ°é³ØÉô), ÅÄÃæ Ì(»³¸ýÂç³ØÂç³Ø±¡Íý¹©³Ø¸¦µæ²Ê) |
| Page | pp. 373 - 378 |
| Keyword | ¥ï¡¼¥¯¥Õ¥í¡¼, ¥Ú¥È¥ê¥Í¥Ã¥È, ·òÁ´À, ·Ñ¾µ |
| Abstract | ¥¤¥ó¥¿¡¼¥ï¡¼¥¯¥Õ¥í¡¼¤Ï¡¤Ï¢·ÈÁ°¤Î¤¢¤ë¥ï¡¼¥¯¥Õ¥í¡¼¤ò³ÈÄ¥¤·¤¿¹½Â¤¤ò¤â¤Ä¤Î¤Ç¡¤¿¶¤ëÉñ¤¤¤Ë¤Ä¤¤¤Æ¤âƱÍͤ˳ÈÄ¥¤·¤¿¿¶¤ëÉñ¤¤¤ò¤â¤Ä¤³¤È¤¬Ë¾¤Þ¤ì¤ë¡¥¤¢¤ë¥ï¡¼¥¯¥Õ¥í¡¼x¤¬¡¤Ê̤Υ¥¯¥Õ¥í¡¼y¤«¤é³ÈÄ¥¤·¤¿Éôʬ¤ò±£¤·¤¿¤ê¡¤¤½¤Î¼Â¹Ô¤ò¥Ö¥í¥Ã¥¯¤·¤¿¾ì¹ç¡¤y¤ÈƱ¤¸¿¶¤ëÉñ¤¤¤ò¤â¤Ä¤Ê¤é¤Ð¡¤x¤Ïy¤Î¿¶¤ëÉñ¤¤¤ò·Ñ¾µ¤¹¤ë¤È¤¤¤¦¡¥ËܹƤǤϡ¤¥ï¡¼¥¯¥Õ¥í¡¼´ÉÍý¥·¥¹¥Æ¥à¤Î¹ñºÝɸ½à²½ÃÄÂÎWfMC¤Î¥×¥í¥È¥³¥ë¤Ë´ð¤Å¤¯¥¤¥ó¥¿¡¼¥ï¡¼¥¯¥Õ¥í¡¼¤¬¡¤¤½¤ì¤¾¤ìÏ¢·ÈÁ°¤Î¥ï¡¼¥¯¥Õ¥í¡¼¤Î¿¶¤ëÉñ¤¤¤ò·Ñ¾µ¤¹¤ë¤³¤È¤ò¼¨¤¹¡¥ |
| Âê̾ | Experimental Evaluation of Parallel Genetic Algorithms on Heterogeneous Line Topologies |
| Ãø¼Ô | *Senlin Guan(Faculty of Information Engineering, University of the Ryukyus), Yiyuan Gong(National Institute of Informatics), Morikazu Nakamura(Faculty of Information Engineering, University of the Ryukyus) |
| Page | pp. 379 - 384 |
| Keyword | parallel genetic algorithm, migration interval, heterogeneous computing capability, grid |
| Abstract | This paper presents an experimental evaluation on parallel genetic algorithm (GA) on the line topology of heterogeneous computing resources. Evolution process of parallel GAs is investigated on two types of arrangements of heterogeneous computing resources: the ascending and descending order arrangement of computing capability. The differences between the two arrangements in chromosome variety, and solution quality are investigated. The results reveal that the quality of solution is determined by not only by the migration interval, but also and the computing capability and the arrangements of the computing resources. |
| Âê̾ | Minimum-Cost Load Balancing Document Distribution in Distributed Web Server Systems |
| Ãø¼Ô | *Á¾º¬ ν, »³ÅÄ ÉÒµ¬(ºë¶ÌÂç³Ø Âç³Ø±¡Íý¹©³Ø¸¦µæ²Ê ¿ôÍýÅŻҾðÊóÉôÌç) |
| Page | pp. 385 - 390 |
| Keyword | Distributed web server, Document distribution, Load balancing, NP-completeness, Approximation algorithm |
| Abstract | Motivated by load balancing on servers in DWS(Distributed Web Server) system, this paper considers the following problem: Given a workload of each web document, a common workload acceptable to all servers, and a cost required to transfer each document to each server, find a document distribution with a minimum total cost required to be transferred satisfying that the total workload of documents on each server does not exceed an acceptable workload when each document is allowed to be placed on multiple servers. In this paper, we prove that this problem is strongly NP-hard even in the case of a unit cost for transfer. Moreover, we present two algorithms for the problem in this case, an approximation one and a greedy one. In particular, the greedy algorithm can be solved in the case of an enough acceptable workload. |
| Âê̾ | Enhancing PC Cluster-based Parallel Branch-and-Bound Algorithms for the Graph Coloring Problem |
| Ãø¼Ô | *Satoshi Taoka, Toshimasa Watanabe(Graduate School of Engineering, Hiroshima University) |
| Page | pp. 391 - 396 |
| Keyword | Combinatorial optimization problems, MPI, Optimum solutions |
| Abstract | A branch-and-bound algorithm (BB for short) is the most general technique to deal with various combinatorial optimization problems. Even if it is used, computation time is likely to increase exponentially. So we consider its parallelization to reduce it. We can expect that obtaining a better incumbent makes bounding operations appear at early stages of computation, possibly resulting in short computation time. In case of a parallel BB, it is also necessary to balance each processor load and to prevent increase in communication time¡¥ In this paper, we focus on a parallel BB for the graph coloring problem, propose some improvements for it, and experimentally evaluate how our modification affect computation time of a parallel BB on a PC cluster network. |
| Âê̾ | (¾·ÂÔ)Â絬Ìϥǡ¼¥¿½èÍý¤ËÂФ¹¤ë¥¢¥ë¥´¥ê¥º¥àÍýÏÀ¤«¤é¤Î¥¢¥×¥í¡¼¥Á |
| Ãø¼Ô | *±§Ìî µ£ÌÀ(¹ñΩ¾ðÊ󳨏¦µæ½ê) |
| Page | pp. 397 - 402 |
| Keyword | database, homology, genome, data mining, algorithm |
| Abstract | ¶áǯÈó¾ï¤ËÂ絬ÌϤʥǡ¼¥¿¤¬¼ê¤ËÆþ¤ë¤è¤¦¤Ë¤Ê¤ê¡¤¤½¤Î¥Ç¡¼¥¿¤ò²òÀϤ·¤ÆÍÍѤʾðÊó¤ò¼è¤ê½Ð¤¹¤³¤È¤Ï¤Þ¤¹¤Þ¤¹½ÅÍ×ÅÙ¤òÁý¤·¤Æ¤¤¤ë¡¥¤·¤«¤·¡¤¥Ç¡¼¥¿¤ÎµðÂ礵¤Î¤¿¤á¡¤´û¸¤Î¼êË¡¤Ç¤Ï·×»»¤¬¸½¼ÂŪ¤Ê»þ´Ö¤Ç½ªÎ»¤·¤Ê¤¤¤È¤¤¤Ã¤¿ÊÀ³²¤â½Ð¤Æ¤¤Æ¤¤¤ë¡¥ËÜȯɽ¤Ç¤Ï¡¤¥Ç¡¼¥¿²òÀϤÎÌäÂê¤ÎÃæ¤«¤é¡¤¥Ç¡¼¥¿¤ÎÎà»÷¹½Â¤¤ò¸«¤Ä¤±½Ð¤¹ÌäÂê¤Ë¾ÇÅÀ¤òÅö¤Æ¤ë¡¥Îà»÷¹½Â¤¤ò¸«¤Ä¤±½Ð¤¹ÊýË¡¤Ë¤ÏÎà»÷¸¡º÷¤òÍѤ¤¤ëÊýË¡¤ÈÁ´ÂÐÈæ³Ó¤ò¤¹¤ëÊýË¡¤¬¤¢¤ë¤¬¡¤Î¾¼Ô¤È¤â¤Ë1000Ëü¹àÌܤòͤ¨¤ë¥Ç¡¼¥¿¤Ç¤Ï¡¤¸½¼ÂŪ¤Ê»þ´Ö¤Ç½ªÎ»¤·¤Ê¤¤¡¥ËÜȯɽ¤Ç¤Ï¡¤Ä̾ï¤ÎPC¤Ç¤â¸½¼ÂŪ¤Ê»þ´Ö¤Ç·×»»¤¬½ªÎ»¿·¤·¤¤¼êË¡¤òÄ󰯤·¡¤¤µ¤é¤Ë¤³¤Î¼êË¡¤ò¥²¥Î¥à¤Î²òÀϤËÍѤ¤¤¿·ë²Ì¤ò¾Ò²ð¤¹¤ë¡¥ |
| Âê̾ | (¾·ÂÔ)´Ê·é¥Ç¡¼¥¿¹½Â¤ |
| Ãø¼Ô | *Äê·ó ˮɧ(¶å½£Âç³Ø) |
| Page | pp. 403 - 408 |
| Keyword | ´Ê·é¥Ç¡¼¥¿¹½Â¤, °µ½Ì |
| Abstract | ´Ê·é¥Ç¡¼¥¿¹½Â¤¤Ï¡¤¥Ç¡¼¥¿¹½Â¤¤Î¥µ¥¤¥º¤ò¶Ë¸Â¤Þ¤Ç¾®¤µ¤¯¤·¡¤¤«¤Ä¡¤ ¹â®¤ÊÌ䤤¹ç¤ï¤»¤ò¼Â¸½¤¹¤ë¤â¤Î¤Ç¤¢¤ê¡¤ÂçÎ̥ǡ¼¥¿¤Î¹â®½èÍý¤ò ¹Ô¤¦¾ì¹ç¤ËÍѤ¤¤é¤ì¤ë¡¥ËܹƤǤϴðËÜŪ¤Ê´Ê·é¥Ç¡¼¥¿¹½Â¤¤ò²òÀ⤹¤ë¡¥ |
| Âê̾ | (¾·ÂÔ)¥×¥í¥»¥¹»Ø¸þ¤ò¼ÂÁõ¤·¤¿¸À¸ì(occam-¦Ð¡¤JCSP¡¤C++CSP)¤È¤½¤Î¼êË¡ |
| Ãø¼Ô | *¾¾°æ Ï¿Í(NPOË¡¿Í CSP¥³¥ó¥½¡¼¥·¥¢¥à) |
| Page | pp. 409 - 414 |
| Keyword | CSP, Pi-Calculus, occam, JCSP |
| Abstract | occam¤ÏCSP¥×¥í¥»¥¹¥â¥Ç¥ë¤«¤éƳ½Ð¤µ¤ì¤¿ÊÂÎó½èÍý¥×¥í¥°¥é¥ß¥ó¥°¸À¸ì¤Ç¤¢¤ê¡¢¾¨¤Æ¤ÏTransputer¤È¸Æ¤Ð¤ì¤ëÊÂÎó½èÍý¥×¥í¥»¥Ã¥µ¡¼¾å¤Çưºî¤·¤Æ¤¤¤¿¡£¤½¤Î¸å±Ñ¹ñKentÂç³Ø¤ÎPeter Welch¶µ¼ø¤é¤Ë¤è¤Ã¤Æoccam¤Ï¿Ê²½¤·¡¢ºÇ¶á¤Ç¤Ï¦Ð-Calculus¤¬¥Ö¥ì¥ó¥É¤µ¤ìoccam-¦Ð¤Ê¤ë¸À¸ì¤¬¼Â¸½¤µ¤ì¤Æ¤ª¤ê¡¢Linux(x86, MIPS, PPC, Cell), Solaris(Sparc)¾å¤Çưºî¤·¤Æ¤¤¤ë¡£¹¹¤Ë¥ª¥Ö¥¸¥§¥¯¥È»Ø¸þ¸À¸ì(Java, C++)¤Ë¤â¼ÂÁõ¤µ¤ì¤Æ¤¤¤ë¡£¤³¤³¤Ç¤Ïoccam-¦Ð¡¢JCSP¡¢C++CSP¤ÎÆâÍÆ¤È¤½¤Î¥×¥í¥°¥é¥ß¥ó¥°¼êË¡¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë¡£ |
| Âê̾ | (¾·ÂÔ)¦Ð·×»»¤Ë¤â¤È¤Å¤¯¥Í¥Ã¥È¥ï¡¼¥¯¥×¥í¥°¥é¥ß¥ó¥°¸À¸ì Nepi |
| Ãø¼Ô | *¿¿Ìî ·ò(NTT¥³¥ß¥å¥Ë¥±¡¼¥·¥ç¥ó²Ê³Ø´ðÁø¦µæ½ê) |
| Page | pp. 415 - 420 |
| Keyword | ¥×¥í¥»¥¹·×»», ¦Ð·×»», ʹÔ, ¥Í¥Ã¥È¥ï¡¼¥¯¥×¥í¥°¥é¥ß¥ó¥° |
| Abstract | ¥×¥í¥»¥¹·×»»¤È¤Ï¡¤ÄÌ¿®¥×¥í¥»¥¹¤òµ½Ò¡¦²òÀÏ¡¦¸¡¾Ú¤¹¤ë¤¿¤á¤ÎÍýÏÀŪÂηϤǤ¢¤ê¡¤¦Ð·×»»¤Ï¤½¤Î¤Ò¤È¤Ä¤Ç¤¢¤ë¡¥¥Í¥Ã¥È¥ï¡¼¥¯¥×¥í¥°¥é¥ß¥ó¥°¸À¸ì Nepi ¤Ï¦Ð·×»»¤Ë´ð¤Å¤¯¥×¥ê¥ß¥Æ¥£¥Ö¤òºÎÍѤ·¡¤ÄÌ¿®¤È¤½¤ì¤Ëȼ¤¦À©¸æ¹½Â¤¤ò´Ê·é¤«¤Ä¸«Ä̤·¤è¤¯µ½Ò¤Ç¤¤ë¤È¤¤¤¦ÆÃŤò¤â¤Ä¡¥ËÜȯɽ¤Ç¤Ï¡¤¤½¤Î¸À¸ì»ÅÍÍ¡¤¥·¥¹¥Æ¥à¥Ç¥¶¥¤¥ó¡¤¤ª¤è¤ÓÍÍÑÀ¤ò³Îǧ¤¹¤ë¤¿¤á¤Î¥×¥í¥°¥é¥ß¥ó¥°·Ð¸³¤Ë¤Ä¤¤¤ÆÀâÌÀ¤¹¤ë¡¥ |
| Âê̾ | (¾·ÂÔ)¥Ó¥Ç¥ª¥«¥á¥éÍÑAVCHDµ¬³Ê¤ÎºöÄê¤Èº£¸å¤Î¥Ó¥Ç¥ª¥«¥á¥éư¸þ |
| Ãø¼Ô | *µÈÀî ¹§Íº(¥½¥Ë¡¼³ô¼°²ñ¼Ò) |
| Page | pp. 421 - 422 |
| Keyword | AVCHD, ¥«¥à¥³¡¼¥À, MPEG-4 AVC, xvYcc, ¥É¥ë¥Ó¡¼¥Ç¥¸¥¿¥ë |
| Abstract | AVCHD¡ÊAdvanced Video Codec High Definition, ¥¨¡¼¥Ö¥¤¥·¡¼¥¨¥¤¥Á¥Ç¥£¡¼¡Ë¤Ï¡¢ 2006ǯ5·î11Æü¤Ë¾¾²¼ÅŴﻺ¶È¤È¥½¥Ë¡¼¤¬´ðËÜ»ÅÍͤòºöÄꤷ¤¿¥Ï¥¤¥Ç¥£¥Õ¥£¥Ë¥·¥ç¥ó(HD)±ÇÁü¤ò¥Ó¥Ç¥ª¥«¥á¥é¤ÇµÏ¿¤¹¤ë¤¿¤á¤Îµ¬³Ê¤Ç¤¢¤ë¡£ 8¥»¥ó¥ÁDVDÅù¤Î½¾Íè¥á¥Ç¥£¥¢¤Ë¤â½½Ê¬¤Ë¹â²è¼Á¤ÇµÏ¿¤Ç¤¤ë¤è¤¦¤Ë¡¢ ±ÇÁüÉ乿²½¤Ë¤ÏMPEG-4 AVC(H.264)Êý¼°¤ò»È¤¤¡¢ ²»À¼É乿²½¤Ë¤Ï¥É¥ë¥Ó¡¼¡¦¥Ç¥¸¥¿¥ë(AC-3)Êý¼°¤ò»È¤¤¡¢ ¿½Å²½¤ËMPEG2-TS¤òÍѤ¤¤Æ¤¤¤ë¡£ ¤Þ¤¿¥Ï¥¤¥Ç¥£¥Õ¥£¥Ë¥·¥ç¥ó±ÇÁü(HDV)°Ê³°¤Ë¤â¡¢½¾Íè¤Îɸ½à±ÇÁü(SDV)¤â¥µ¥Ý¡¼¥È¤·¤Æ¤¤¤ë¡£ AVCHD¤ÎÆÃħ¤Î¤Ò¤È¤Ä¤¬Ê£¿ô¤ÎµÏ¿¥á¥Ç¥£¥¢¤ò¥µ¥Ý¡¼¥È¤·¤¿»ö¤Ç¤¢¤ê¡¢¥Ï¡¼¥É¥Ç¥£¥¹¥¯¥É¥é¥¤¥Ö (HDD) ¡¢SD¥á¥â¥ê¡¼¥«¡¼¥É¡¦MemoryStick¤¬¥µ¥Ý¡¼¥È¤µ¤ì¤Æ¤¤¤ë¡£ |
| Âê̾ | ÍÍ¡¹¤ÊQÃͤˤª¤±¤ë¥·¥ã¥ó¥È¥¥ã¥Ñ¥·¥¿¤ÎÈóÀþ·ÁÀ¤ò¹Íθ¤·¤¿DEµéÁýÉý´ï¤ÎÀß·× |
| Ãø¼Ô | *¹¾Âô Ű, ´Ø²° Âçͺ, Ϥ ·úÌÀ, ëÇë δ»Ì(ÀéÍÕÂç³ØÂç³Ø±¡¼«Á³²Ê³Ø¸¦µæ²Ê) |
| Page | pp. 423 - 428 |
| Keyword | DEµéÁýÉý´ï, MOSFET, ¥·¥ã¥ó¥È¥¥ã¥Ñ¥·¥¿, ´óÀ¸ÍÆÎÌ, ÈóÀþ·ÁÀ |
| Abstract | Ëܸ¦µæ¤Ç¤Ï, ÍÍ¡¹¤ÊQ Ãͤˤª¤±¤ë¥·¥ã¥ó¥È¥¥ã¥Ñ¥·¥¿¤ÎÈóÀþ·ÁÀ¤ò¹Íθ¤·¤¿DE µéÁýÉý´ï¤ÎÀ߷פò¹Ô¤¦. ¥·¥ã¥ó¥È¥¥ã¥Ñ¥·¥¿¤Ë´Þ¤Þ¤ì¤ëMOSFET¤Î´óÀ¸ÍÆÎ̤ÎÈóÀþ·ÁÀ¤ò¹Íθ¤·¤¿DE µéÁýÉý´ï¤Î½¾Íè¤Î²òÀϤª¤è¤ÓÀ߷פˤª¤¤¤Æ¤Ï, ÍýÁÛŪ¤Ê¥Õ¥£¥ë¥¿¤òƳÆþ¤·, ¤Þ¤¿, MOSFET ¤Î´óÀ¸ÍÆÎ̤ÎÊÑ¿ô¤Î¤Ò¤È¤Ä¤Ç¤¢¤ëÉÔ½ãʪǻÅÙ¤ò°ì¤Ä¤ÎÃͤDz¾Äꤷ¤Æ¤¤¤ë. ¤·¤«¤·¤Ê¤¬¤é, ¹â½ÐÎϤ¬Í׵ᤵ¤ì¤ë¾ì¹ç¤Ê¤É¤Ë¤ÏÄ㤤Q ÃͤÇÀ߷פ¹¤ë¤³¤È¤¬µá¤á¤é¤ì, ¤Þ¤¿ÉÔ½ãʪǻÅÙ¤ÏMOSFET¤ÎÈóÀþ·ÁÆÃÀ¤òÂ礤¯ÊѤ¨¤ë. ¤½¤Î¤¿¤á, ¤³¤ì¤é¤ÎÊÑ¿ô¤¬²óÏ©¤ËÍ¿¤¨¤ë±Æ¶Á¤òÌÀ¤é¤«¤Ë¤¹¤ë¤³¤È¤Ï¶Ë¤á¤Æ½ÅÍפǤ¢¤ë. Ëܸ¦µæ¤Ç¤Ï, ÍÍ¡¹¤ÊQÃͤˤª¤¤¤ÆMOSFET¤ÎÉÔ½ãʪǻÅÙ¤ÎÃͤòÊÑÆ°¤µ¤»¤¿¤È¤¤Î²óÏ©¤ÎÀß·×¶ÊÀþ¤ò¿ôÃÍ·×»»¤Ë¤è¤êÌÀ¤é¤«¤Ë¤¹¤ë. |
| Âê̾ | »þ´ÖËè¤ËÊѲ½¤¹¤ëÄñ¹³¤òÍѤ¤¤¿Äñ¹³³Ê»ÒÌ֤ǤΠWinner Take All ²óÏ©¤Ë´ð¤Å¤¯ºÇû»þ´Ö·Ðϩõº÷ |
| Ãø¼Ô | *º´Æ£ ²í½Ó, ÀÄ¿¹ µ×, ÅÄÃæ êÌ(¾åÃÒÂç³ØÍý¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê) |
| Page | pp. 429 - 433 |
| Keyword | Winner Take All, CNN, ·Ðϩõº÷ |
| Âê̾ | ¥Õ¥í¡¼¥Æ¥£¥ó¥°¥²¡¼¥ÈMOSFET¤òÍѤ¤¤¿°ì¼¡¸µÎ¥»¶»þ´ÖÎϳطϽ¸ÀѲóÏ© |
| Ãø¼Ô | *²Ï¼ ·ò°ì, ËÙÈø ´îɧ(ÅìµþÅŵ¡Âç³Ø Âç³Ø±¡¹©³Ø¸¦µæ²Ê), ¹ç¸¶ °ì¹¬(ÅìµþÂç³Ø À¸»ºµ»½Ñ¸¦µæ½ê) |
| Page | pp. 435 - 440 |
| Keyword | ¥«¥ª¥¹²óÏ©, ¥¢¥Ê¥í¥°½¸ÀѲóÏ©, ¥Õ¥í¡¼¥Æ¥£¥ó¥°¥²¡¼¥ÈMOSFET |
| Abstract | ¥Õ¥í¡¼¥Æ¥£¥ó¥°¥²¡¼¥ÈMOSFET(FG-MOSFET)¤Ï, ¥²¡¼¥È¤ËÊ£¿ô¤Î¥¥ã¥Ñ¥·¥¿¤òÀܳ¤·¤¿ÁǻҤÇ, ÍÍ¡¹¤Ê¥¢¥Ê¥í¥°²óÏ©¤Ø±þÍѤµ¤ì¤Æ¤¤¤ë. FG-MOSFET¤òÍѤ¤¤¿¥«¥ª¥¹È¯À¸²óÏ©¤È¤·¤Æ, FG-MOSFET¤òÍѤ¤¤¿ÈóÀþ·ÁÄñ¹³²óÏ©, FG-MOS¥¤¥ó¥Ð¡¼¥¿²óÏ©, ¤µ¤é¤Ë, FG-MOS¥Ô¡¼¥¥ó¥°ÅÅή¸»²óÏ©¤ò¼ÌÁü´Ø¿ô²óÏ©¤È¤·¤ÆÍѤ¤¤ë£³¼ïÎà¤Î°ì¼¡¸µÎ¥»¶»þ´ÖÎϳطϲóÏ©¤¬Ä󰯤µ¤ì¤Æ¤¤¤ë. ËÜÏÀʸ¤Ç¤Ï, ¤³¤ì¤é£³¼ïÎà¤Î°ì¼¡¸µÎ¥»¶»þ´ÖÎϳطϲóÏ©¤ò½¸ÀѲóÏ©²½¤¹¤ë. À½ºî¤·¤¿¥×¥í¥È¥¿¥¤¥×¥Á¥Ã¥×¤è¤ê, ¤½¤ì¤¾¤ì¤Î¼ÌÁü´Ø¿ô²óÏ©¤ÎÆþ½ÐÎÏÆÃÀ¤È, ³°ÉôÀ©¸æ¥Ð¥¤¥¢¥¹Å۵¤ËÂФ¹¤ë°ì¼¡¸µÎ¥»¶»þ´ÖÎϳطϲóÏ©¤Îʬ´ôÆÃÀ¤ò¬Äꤷ, ¤µ¤é¤Ë, ¬ÄêÃͤè¤ê¥ê¥¢¥×¥Î¥Õ»Ø¿ô¤òµá¤á¤ë»ö¤Ë¤è¤ê, ½¸ÀѲ½¤·¤¿²óÏ©¤ÎÆÃÀ¤òɾ²Á¤¹¤ë. |
| Âê̾ | ¥¤¥ó¥¿¡¼¥ê¡¼¥Ö·¿°ÌÁêÀ©¸æE2µédc/dc¥³¥ó¥Ð¡¼¥¿ |
| Ãø¼Ô | *ÊÒ»³ ´´, ´Ø²° Âçͺ, Ϥ ·úÌÀ, ëÇë δ»Ì(ÀéÍÕÂç³ØÂç³Ø±¡¼«Á³²Ê³Ø¸¦µæ²Ê) |
| Page | pp. 441 - 446 |
| Keyword | Eµé¥¤¥ó¥Ð¡¼¥¿, °ÌÁêÀ©¸æ·¿E^2µédc/dc¥³¥ó¥Ð¡¼¥¿, ¥¤¥ó¥¿¡¼¥ê¡¼¥Ö |
| Abstract | Ëܸ¦µæ¤Ç¤Ï, °ÌÁêÀ©¸æ·¿E^2µédc/dc¥³¥ó¥Ð¡¼¥¿¤ò¥¤¥ó¥¿¡¼¥ê¡¼¥Ö¤·¤¿, ¥¤¥ó¥¿¡¼¥ê¡¼¥Ö·¿°ÌÁêÀ©¸æE^2µédc/dc¥³¥ó¥Ð¡¼¥¿¤òÄ󰯤¹¤ë. ¥¤¥ó¥¿¡¼¥ê¡¼¥Ö¤Ë¤è¤ê, ¹âưºî¼þÇÈ¿ô¹â¸úΨưºî¤ÈÄãÅ۵ÂçÅÅή¤òƱ»þ¤ËËþ¤¿¤¹²óÏ©¤ò¼Â¸½¤¹¤ë¤³¤È¤¬²Äǽ¤È¤Ê¤ë. ¤Þ¤¿, Æó¤Ä¤Î¥¤¥ó¥Ð¡¼¥¿¤Î¶îưÇÈ·Á¤Î°ÌÁ꺹¤òÊѲ½¤µ¤»¤ë¤³¤È¤Ç½ÐÎÏÅ۵¤òÀ©¸æ¤¹¤ë¤³¤È¤¬²Äǽ¤Ç¤¢¤ë. ¤µ¤é¤Ë, ¥¤¥ó¥¿¡¼¥ê¡¼¥Ö²½¤Ë¤è¤ê, °ÌÁêÀ©¸æ·¿E^2µédc/dc¥³¥ó¥Ð¡¼¥¿¤ËÈæ¤ÙÆþÎÏÅ۵¤ÎÊÑÆ°¤ËÂФ¹¤ëÀ©¸æÈϰϤò°Ý»ý¤·¤Ä¤Ä, °ÌÁêÊѲ½¤Ë¤è¤ë½ÐÎÏÅ۵¤ÎÀ©¸æÈϰϤª¤è¤ÓÉé²ÙÊÑÆ°¤ËÂФ¹¤ëÀ©¸æÈϰϤò³ÈÂ礹¤ë¤³¤È¤¬²Äǽ¤È¤¹¤ë. À߷פ·¤¿²óÏ©¤Ë¤ª¤¤¤Æ, Æó¤Ä¤Î¥¤¥ó¥Ð¡¼¥¿¤Î¶îưÇÈ·Á¤Î°ÌÁ꺹¤¬ÊѲ½¤·¤¿¤È¤¤ÎÄ󰯲óÏ©¤Îưºî¤Ë¤Ä¤¤¤Æ¹Í»¡¤¹¤ë. ²óÏ©¼Â¸³¤ò¹Ô¤¦¤³¤È¤Ë¤è¤êÀ߷פÎÂÅÅöÀ¤ò¼¨¤¹. |
| Âê̾ | Various Superstable Phenomena in 1-D Maps with a Trapping Window |
| Ãø¼Ô | *¾¾²¬ Í´²ð(Ë¡À¯Âç³ØÂç³Ø±¡ ¹©³Ø¸¦µæ²Ê Åŵ¤¹©³ØÀì¹¶), ºØÆ£ ÍøÄÌ(Ë¡À¯Âç³Ø ¹©³ØÉô ¾ðÊóÅŵ¤ÅŻҹ©³Ø²Ê) |
| Page | pp. 447 - 450 |
| Keyword | Circle map, Sigma-delta modulator, Superstable phenomena |
| Abstract | This paper studies dynamics of 1D map with a trapping window. The window has a zero slope and causes various superstable phenomena. We study such phenomena using two examples relating to A/D converters and power converters. In precise numerical simulation, we have investigated robustness for parameter perturbation on the window. |
| Âê̾ | ¥Á¥§¥Ó¥·¥§¥Õ¿¹à¼°¤òÍѤ¤¤¿¥Ñ¥¤¥³¥ÍÊÑ´¹¤Ë¤è¤êÀ¸À®¤·¤¿¥«¥ª¥¹¿®¹æ¤Î±é»»ÀºÅÙ¤ÈÁê´ØÆÃÀ¤È¤Î´Ø·¸ |
| Ãø¼Ô | *°ËÆ£ ²Åµ¬, ÊÂÌÚ Ã£Ìé(ÌÀ¼£Âç³ØÂç³Ø±¡Íý¹©³Ø¸¦µæ²Ê), ³ùÅÄ ¹°Ç·(ÌÀ¼£Âç³ØÍý¹©³ØÉô) |
| Page | pp. 451 - 456 |
| Keyword | ¥«¥ª¥¹, ³È»¶É乿, ¥Ñ¥¤¥³¥ÍÊÑ´¹, ¥Á¥§¥Ó¥·¥§¥Õ¿¹à¼°, Áê´ØÆÃÀ |
| Abstract | ¥Ñ¥¤¥³¥Í¤Î¸¶Íý¤Ë´ð¤Å¤¥«¥ª¥¹¿®¹æ¤òÀ¸À®¤¹¤ëºÝ¤Ë¡¢Ä¾¸ò´Ø¿ô¤Î°ì¤Ä¤Ç¤¢¤ë¥Á¥§¥Ó¥·¥§¥Õ¿¹à¼°¤òÍѤ¤¤ëÊýË¡¤Ï¡¢¤¤¤¯¤Ä¤«¤Î¸¦µæµ¡´Ø¤Ç¸¡Æ¤¤µ¤ì¡¢Â¿½ÅÄÌ¿®¤Ë¤ª¤±¤ë³È»¶É乿¤ËŬÍѤµ¤ì¤Æ¤¤¤ë¡£¤·¤«¤·¡¢¸½ºß¸¡Æ¤¤µ¤ì¤Æ¤¤¤ëÊý¼°¤Ï¡¢¼ç¤Ë£±£¶¥Ó¥Ã¥ÈÄøÅ٤θÇÄê¾®¿ôÅÀ±é»»¤Ë¤è¤êÀ¸À®¤¹¤ë¤â¤Î¤Ç¤¢¤ê¡¢¼«¸ÊÁê´ØÆÃÀ¡¢Áê¸ßÁê´ØÆÃÀ¤È¤â¤Ë¿½ÅÄÌ¿®¤ËŬÍѤǤ¤ë¥ì¥Ù¥ë¤Ë¤Ï»ê¤Ã¤Æ¤Ê¤¤¡£Ëܸ¦µæ¤Ç¤Ï¡¢¥«¥ª¥¹¤ò¥¹¥Ú¥¯¥È¥ë³È»¶ÄÌ¿®¤Î³È»¶É乿¤Ë±þÍѤ¹¤ë¤¿¤á¤Ë¡¢¥Á¥§¥Ó¥·¥§¥Õ¿¹à¼°¤Ë¤è¤ë³È»¶É乿À¸À®Ë¡¤òÄ󰯤¹¤ë¡£¥«¥ª¥¹¤Ç¤Î³È»¶É乿¤ò£³£²¥Ó¥Ã¥È¸ÇÄê¾®¿ôÅÀ±é»»¤Ë¤è¤ê¡¢Q14¥Õ¥©¡¼¥Þ¥Ã¥È¤«¤éQ30¥Õ¥©¡¼¥Þ¥Ã¥È¤Þ¤Ç³È»¶É乿¤òÀ¸À®¤·¡¢¼«¸ÊÁê´Ø¤ª¤è¤ÓÁê¸ßÁê´ØÆÃÀ¤òÄ´¤Ù¤¿¡£¤µ¤é¤Ë¡¢¼ÂºÝ¤ËÁ÷¿®¾ðÊó¤òÍ¿¤¨¡¢¤½¤ì¤¾¤ì¤Î³È»¶É乿¤Ë¤è¤ê¿½Å²½¤·¤¿»þ¤Î¡¢¥Ó¥Ã¥È¸í¤êΨ¡ÊBit Error Rate¡Ë¤â¸¡Æ¤¤¹¤ë¡£ |
| Âê̾ | ¶èʬÀþ·Á¥¹¥Ñ¥¤¥¥ó¥°¥Ë¥å¡¼¥í¥ó¤Îʬ´ô¸½¾Ý¤Î¹Í»¡ |
| Ãø¼Ô | *Âçë Íø¸÷, ºØÆ£ ÍøÄÌ(Ë¡À¯Âç³Ø¹©³ØÉô¾ðÊóÅŵ¤ÅŻҹ©³Ø²Ê), Ä»»ô ¹°¹¬(ÂçºåÂç³ØÂç³Ø±¡) |
| Page | pp. 457 - 460 |
| Keyword | ʬ´ô, ¥«¥ª¥¹, ¥¹¥Ñ¥¤¥¥ó¥°¥Ë¥å¡¼¥í¥ó |
| Abstract | ¶èʬÀþ·Á¥Ù¡¼¥¹¿®¹æ¤òͤ¹¤ëʬ´ô¥Ë¥å¡¼¥í¥ó¤Îưºî¤ò¹Í»¡¤¹¤ë¡£ ¥Ë¥å¡¼¥í¥ó¤Îưºî¤Ï£±¼¡¸µ¥Ñ¥ë¥¹°ÌÃ֥ޥåפˤè¤Ã¤Æµ½Ò¤µ¤ì¤ë¡£ »°³ÑÇÈ¥Ù¡¼¥¹¿®¹æ¤òÆþÎϤȤ¹¤ë¤³¤È¤Ç¶èʬÀþ·Á¤Ê¥Þ¥Ã¥×¤¬ÆÀ¤é¤ì¡¢Â¿ºÌ¤Ê¸½¾Ý¤òÀºÌ©¤Ë²òÀϤǤ¤ë¡£ ËÜÏÀʸ¤Ç¤Ï¡¢´ðËÜŪ¤Êʬ´ô¸½¾Ý¤È¥¹¥Ñ¥¤¥¯´Ö³ÖÌ©Å٤δط¸¤Ë¤Ä¤¤¤Æ¹Í»¡¤¹¤ë¡£ |
| Âê̾ | Chaotic Switching of Phase States in Time-Varying Coupled Circuits |
| Ãø¼Ô | *¾å¼ê ÍλÒ, À¾Èø ˧ʸ(ÆÁÅçÂç³Ø) |
| Page | pp. 461 - 466 |
| Keyword | chaos circuit, phase switching, time-varying resistor |
| Abstract | In this study, two chaotic circuits coupled by a time-varying resistor are investigated. First, the coexistence of in-phase and anti-phase synchronization are observed. Next, we confirm that interesting synchronization phenomena with switching phase states between the two chaotic circuits can be observed when the strength of coupling parameter R is decreased. Furthermore, the sojourn time of the in-phase and the anti-phase are investigated. We confirm that the sojourn time depends on the frequency and the strength of the time-varying resistor. |
| Âê̾ | ¥Ü¥ë¥Æ¥é¥Õ¥£¥ë¥¿¤òÍѤ¤¤¿¥«¥ª¥¹ÈëÌ©ÄÌ¿®¤Ë´Ø¤¹¤ë¸¦µæ |
| Ãø¼Ô | *´äÅÄ ÏÂÇÏ, ÆþÁÒ ÍµÇ·(ÌÀ¼£Âç³ØÂç³Ø±¡Íý¹©³Ø¸¦µæ²Ê), ³ùÅÄ ¹°Ç·(ÌÀ¼£Âç³ØÍý¹©³ØÉô) |
| Page | pp. 467 - 471 |
| Keyword | ¥«¥ª¥¹, ÈëÌ©ÄÌ¿®, ¥Ñ¥é¥á¡¼¥¿¥ß¥¹¥Þ¥Ã¥Á, Volterra Filter |
| Abstract | É®¼Ô¤é¤Ï¡¢¥¤¥ó¥¿¡¼¥Í¥Ã¥È¤Ê¤É¤Î¥Ç¥£¥¸¥¿¥ëÄÌ¿®Ì֤ǤΥ«¥ª¥¹ÈëÏÃÄÌ¿®¤òÁÛÄꤷ¤¿¥·¥¹¥Æ¥à¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤·¤Æ¤¤¤ë¡£¥«¥ª¥¹¼ÌÁü¤ò¥Ç¥£¥¸¥¿¥ë·×»»µ¡¤Î¤è¤¦¤Ê͸·å±é»»¤ò¼Â¹Ô¤¹¤ë¤È¡¢¿¿¤Î¥«¥ª¥¹¤ËÈæ¤ÙÆÃÀ¤¬Îô²½¤¹¤ë¡£¥«¥ª¥¹¤òÈëÌ©ÄÌ¿®¤ä°Å¹æ¤ËŬÍѤǤ¤ëÏÀµò¤Ï¡¢¤ï¤º¤«¤Ê½é´üÃͤκ¹¤ä¥Ñ¥é¥á¡¼¥¿¤Îº¹¤Ë¤è¤ê¡¢¤¹¤Ð¤ä¤¯°Û¤Ê¤Ã¤¿µ°Æ»¤ËÆþ¤ë¤³¤È¤ÇÈëÌ©À¤òÊݤäƤ¤¤ë¡£ Ëܸ¦µæ¤Ç¤Ï¡¢¥Ñ¥é¥á¡¼¥¿¥ß¥¹¥Þ¥Ã¥Á¤ËÂФ¹¤ëÈëÌ©À¤ò¹â¤á¤ë¤³¤È¤òÌÜŪ¤È¤·¤Æ¡¢Chaotic NeuronÆâ¤ËVolterra Filter¤òÍѤ¤¤ëÊýË¡¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤¹¤ë¡£¤·¤«¤·Æ±¥Õ¥£¥ë¥¿¤ÏÀþ·Á¥Õ¥£¥ë¥¿¤ËÈæ¤Ù¥Ñ¥é¥á¡¼¥¿¿ô¤¬ÂçÉý¤ËÁý²Ã¤¹¤ë¡£¤½¤³¤Ç¡¢Volterra Filter¤ÎÈóÀþ·Á¹àÉôʬ¤ò¡¢Logistic¼ÌÁü¤äHenon¼ÌÁü¤Ê¤É¤ÎÈóÀþ·Á¼ÌÁü¤ÈƱÅù¤Î¼°¤Ë¤Ê¤ë¤è¤¦¤ËÀßÄꤷ¡¢ÆÃÀ¤ò²òÀÏ¡¢É¾²Á¤¹¤ë¡£ |
| Âê̾ | (¾·ÂÔ)¥¢¥Ê¥í¥°¡¦RFIC ¤Î¤¿¤á¤ÎDFM µ»½Ñ |
| Ãø¼Ô | *¿¹»³ À¿ÆóϺ(£Ð£Ä£Æ¥½¥ê¥å¡¼¥·¥ç¥ó¥º) |
| Page | pp. 473 - 473 |
| Keyword | DFM, Åý·×ŪÀß·×, PDK, Åý·×²òÀϥġ¼¥ë |
| Abstract | ¥¢¥Ê¥í¥°Ž¥RFIC¤ÎÀß·×ÉÔ¶ñ¹ç¤Ë¤è¤ë·«¤êÊÖ¤·¡Ê¥ê¥¹¥Ô¥ó¡Ë¤òºï¸º¤¹¤ë¤È¤È¤â¤Ë¡¢ À½Â¤Íư×À¤òÊݾڤ¹¤ë¤¿¤á¤ËÅý·×ŪÀß·×¼êË¡¤¬É¬ÍפȤµ¤ì¤Æ¤¤¤ë¡£¤³¤Î¾·ÂÔ¹Ö ±é¤Ç¤Ï¡¢Åý·×²òÀϼêË¡¤ÎɬÍ×À¤Ë¤Ä¤¤¤Æ¿¨¤ì¤¿¾å¤Ç¡¢ Åý·×ŪPDK¡¢¤ª¤è¤Ó¹â® ¤ÊÅý·×²òÀϥġ¼¥ë¤Ë¤Ä¤¤¤Æ³µÍפò½Ò¤Ù¤ë¡££±Îã¤È¤·¤Æ¡¢¹âÀǽ¤Ê0.18 ¦Ìm SiGe:C-BiCMOS¥×¥í¥»¥¹¤òÂоݤ˳«È¯¤·¤¿Åý·×ŪPDK¤Ë¤Ä¤¤¤ÆÀâÌÀ¤¹¤ë¡£¤Þ¤¿¡¢ Åý·×²òÀϥġ¼¥ë¤Ç¤¢¤ëCircuit Surfer¤ò³Æ¼ï¤Î²óÏ©¤ËÄ󶡤·¤¿»öÎã¤ò¾Ò²ð¤¹¤ë¡£ |
| Âê̾ | ¥¯¥ê¥¹¥¿¥ëȯ¿¶²óÏ©¤Ëµ¯°ø¤¹¤ëEMI¥Î¥¤¥º¤Î²òÀϤȥÁ¥Ã¥×ÆâÂкö |
| Ãø¼Ô | *¹õÀî ÆØ, Æ£ÅÄ ¹À»Ö, °ËÉô ůÌé(»°ÍÎȾƳÂÎ(³ô) SS»ö¶È¿ä¿ÊÅý³çÉô Àß·×µ»½ÑÉô), ÅÏÊÕ Å°(»°ÍÎȾƳÂÎ(³ô) ¥Ç¥¸¥¿¥ë¥·¥¹¥Æ¥àÂ裱»ö¶ÈÉô ¥Ç¥¸¥¿¥ë¥ª¡¼¥Ç¥£¥ª³«È¯Éô) |
| Page | pp. 475 - 480 |
| Keyword | EMI, ÅŸ»¥Î¥¤¥º, ¥¯¥ê¥¹¥¿¥ëȯ¿¶²óÏ©, ¥Ç¥«¥Ã¥×¥ê¥ó¥°ÍÆÎÌ |
| Abstract | EMI¥Î¥¤¥ºÂкö¤Ë´Ø¤·¤Æ¡¢¥Á¥Ã¥×Àß·×¼Ô¸þ¤±¤ÎX¡Çtalȯ¿¶²óÏ©¤Ëµ¯°ø¤¹¤ë²òÀÏÊýË¡¤ÈÂкö¤Î¸ú²Ì¤òÄ󼨤¹¤ë¡£¤½¤ÎÆÃħ¤Ï°Ê²¼¤Ç¤¢¤ë¡£ 1)SPICE¥Ù¡¼¥¹¤Ç¥Á¥Ã¥×¤«¤éȯÀ¸¤¹¤ë¥Î¥¤¥º¤ò²òÀϤ¹¤ëÊýË¡¤ò¥Á¥Ã¥×³°¤Î¥â¥Ç¥ê¥ó¥°¤È°ì½ï¤Ë¼¨¤¹¡£ 2)X¡Çtalȯ¿¶²óÏ©¤Ë´Ø¤¹¤ë¥Á¥Ã¥×Æâ¤Î¥Ñ¥Ã¥ÉÇÛÃÖ¡¢¥Ç¥«¥Ã¥×¥ê¥ó¥°ÍÆÎÌ¡¢Äñ¹³ÁÞÆþ¤Ë¤è¤ëÂкö¤Î¥Î¥¤¥ºÄ㸺¤Ø¤Î¸ú²Ì¤ò¼¨¤¹¡£ |
| Âê̾ | ÄãÅ۵CMOSº¹Æ°ÁýÉý´ï¤ÎÀ߷פȥߥ¹¥Þ¥Ã¥ÁÆÃÀ²òÀÏ |
| Ãø¼Ô | ²«ÅÄ ¹ä, ÂçÀî âðì(¥ë¥Í¥µ¥¹¥Æ¥¯¥Î¥í¥¸¡¿¥Ç³«), ÄÍÅÄ ÉÒϺ(¥ë¥Í¥µ¥¹¥Æ¥¯¥Î¥í¥¸¡¿À襢³«), *ÁýÅÄ ¹°À¸(¥ë¥Í¥µ¥¹¥Æ¥¯¥Î¥í¥¸¡¿¥Ç³«) |
| Page | pp. 481 - 486 |
| Keyword | 65nm¥ß¥Ã¥¯¥¹¥É¥·¥°¥Ê¥ëLSI, ÄãÅ۵CMOSº¹Æ°ÁýÉý´ï, ¥ß¥¹¥Þ¥Ã¥ÁÆÃÀ, ¥é¥ó¥À¥à¤Ð¤é¤Ä¤, ²óÏ©¥·¥ß¥å¥ì¡¼¥·¥ç¥ó |
| Abstract | 65nm¥ß¥Ã¥¯¥¹¥É¥·¥°¥Ê¥ëLSI¤Ç¤ÏÄãÅ۵¤Ç¶îư¤Ç¤¤ëCMOS¥¢¥Ê¥í¥°²óÏ©¤¬É¬Íפˤʤë¤È¹Í¤¨¤é¤ì¤Æ¤¤¤ë¡£¤·¤«¤·¡¢ÄãÅ۵¶îư¤Ç¤Ï¥²¡¼¥ÈÌÌÀѤÎÂ礤ÊMOS¤òÍѤ¤¤Æ¤âVth¤Þ¤¿¤ÏIds¤Î¥é¥ó¥À¥à¤Ð¤é¤Ä¤¤Ë¤è¤ê²óÏ©¤Î¥ß¥¹¥Þ¥Ã¥ÁÆÃÀ¤¬Îô²½¤¹¤ë²ÄǽÀ¤¬Í½ÁÛ¤µ¤ì¤ë¡£ ËÜÊó¹ð¤Ç¤Ï¡¢65nm¥×¥í¥»¥¹¤ÎSPICE¥Ñ¥é¥á¡¼¥¿¤òÍѤ¤¤Æ¡¢¤Þ¤ºÄãÅ۵¡ÊVdd=1.2V¡ËCMOSº¹Æ°ÁýÉý´ï¤ÎºÇŬ²óÏ©Äê¿ôÀ߷פò¤ª¤³¤Ê¤Ã¤¿¡£¤µ¤é¤Ë¡¢¤³¤Î·ë²Ì¤ò´ð¤Ë¡¢NMOS¡¿PMOS¤Î¥é¥ó¥À¥à¥ß¥¹¥Þ¥Ã¥ÁÅÅήÆÃÀ¤Î±Æ¶Á¤¬¡¢º¹Æ°ÁýÉý´ï¤Î½ÐÎÏÅ۵µÚ¤ÓÍøÆÀ¤Î¥ß¥¹¥Þ¥Ã¥Á¤Ë¤É¤¦È¿±Ç¤µ¤ì¤ë¤«¡¢²óÏ©¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ç²òÀÏ¡¦É¾²Á¤·¤¿·ë²Ì¤ò¼¨¤¹¡£ |
| Âê̾ | Entropy based Associative Model with an Autocorrelation Dynamics |
| Ãø¼Ô | *Masahiro Nakagawa(Nagaoka University of Technology) |
| Page | pp. 487 - 492 |
| Keyword | Entropy, Association, Memory |
| Abstract | In this paper, an entropy based associative memory model will be put forward to accomplish the memory retrievals with orthogonal and autocorrelation learning models so as to compare with the conventional autoassociative model with a certain quadratic Lyapunov functional. In the present approach, the updating dynamics will be constructed on the basis of the entropy minimization strategy which is shown to be reduced asymptotically to the conventional quadratic dynamics as a special case. From numerical results, it will be elucidated that the presently proposed novel approach promotes the l memory capacity beyond with the conventional autocorrelation model , e.g. associatron, according to the involved higher-order correlation in the proposed dynamics. |
| Âê̾ | Recalling Temporal Sequences of Patterns Using Neurons with Hysteretic Property |
| Ãø¼Ô | *Johan Sveholm, ÁáÀî µÈ¹°, ÃæÅç ¹¯¼£(ÅìËÌÂç³ØÅŵ¤ÄÌ¿®¸¦µæ½ê) |
| Page | pp. 493 - 498 |
| Keyword | neural networks, temporal sequences of patterns, hysteretic property |
| Abstract | To implement a flow vector that can guide a network through a sequence of patterns is difficult in the conventional case, since flow vectors between two adjacent stored attractors do not coincide in direction. This problem has previous been solved with the Inverse Function Delayed (ID) model, a model which can make the network gradually change from one attractor to another in continuous time. However, in order to increase storage capacity the encoding problem of the patterns can be transformed into a linear separation problem. In that case, a hysteretic two-state neuron model is suggested for recall in continuous time. Paired hysteretic neurons and conventional neurons can give the network continuous valued units as well. |
| Âê̾ | Î¥»¶»þ´Ö·¿¥»¥ë¥é¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯¤òÍѤ¤¤¿¶õ´ÖÎΰ襷¥°¥Þ¥Ç¥ë¥¿ÊÑÄ´ |
| Ãø¼Ô | *ÀÄ¿¹ µ×(¾åÃÒÂç³Ø), ÂçÃÝ ´º(¶ÌÀîÂç³Ø), ¹â¶¶ ¿¾´(ÆüËÜ¥¢¥¤¡¦¥Ó¡¼¡¦¥¨¥à(³ô)), ÅÄÃæ êÌ(¾åÃÒÂç³Ø) |
| Page | pp. 499 - 504 |
| Keyword | CNN, ¥·¥°¥Þ¥Ç¥ë¥¿ÊÑÄ´, ¥Ï¡¼¥Õ¥È¡¼¥Ë¥ó¥°, ²èÁüºÆ¹½À®, ÈóÀþ·ÁÆâÁÞ¸ú²Ì |
| Abstract | ËܹƤǤÏ, Î¥»¶»þ´Ö·¿¥»¥ë¥é¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯ (DT-CNN) ¤òÍѤ¤¤¿¶õ´ÖÎΰ襷¥°¥Þ¥Ç¥ë¥¿ÊÑÄ´¤òÄ󰯤¹¤ë. 2˰ÏÂÎΰè¤ò»ý¤Ä½ÐÎÏ´Ø¿ô¤òÍѤ¤¤¿CNN¤ÎËܼÁ¤Ï, ÆþÎϲèÁü¤ò2ÃͲ½¤¹¤ë¤³¤È¤Ç¤¢¤ë¤¿¤á, CNN¤Î¥À¥¤¥Ê¥ß¥¯¥¹¤Ï ¥Ç¥£¥¸¥¿¥ë¥Ï¡¼¥Õ¥È¡¼¥Ë¥ó¥°¤È¤·¤Æ¤Î²ÄǽÀ¤ò»ý¤Ä. Äó°ÆÊý¼°¤Ç¤Ï, CNN¤Î¥·¥°¥Þ¥Ç¥ë¥¿ÊÑÄ´¤È¤ÎÎà»÷À¤ËÃåÌܤ·, ¥À¥¤¥Ê¥ß¥¯¥¹¤ÎÈóÀþ·ÁÆâÁÞ¸ú²Ì¤ò 2Ãͥϡ¼¥Õ¥È¡¼¥ó²èÁü¤«¤éºÇŬ¤ÊºÆ¹½À®²èÁü¤òÆÀ¤ë¤¿¤á¤ËÍøÍѤ¹¤ë. ¤Þ¤¿, ¥Õ¥£¡¼¥É¥Ð¥Ã¥¯A¥Æ¥ó¥×¥ì¡¼¥È ¤Ë¤è¤ë¸íº¹³È»¶ÆÃÀ¤Ë¤è¤ê, ¥Ï¡¼¥Õ¥È¡¼¥ó²èÁü¤ÎÎ̻Ҳ½¸íº¹¤Ï¶õ´ÖŪ¤Ë³È»¶¤µ¤»¤é¤ì¤ë. ÍÍ¡¹¤Ê²èÁü¤ËÂФ¹¤ë¼Â¸³¤Ë¤è¤ê, Ä󰯼êË¡¤Î͸úÀµÚ¤Ó, CNN¤Î¶õ´ÖÎΰ襷¥°¥Þ¥Ç¥ë¥¿ÊÑÄ´ÆÃÀ¤ò³Îǧ¤·¤¿. |
| Âê̾ | ¥Ë¥å¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯¤òÍѤ¤¤¿³°´Ñ¸¡ºº¥·¥¹¥Æ¥à |
| Ãø¼Ô | *Àé ¾µÍ¤, ÁáÀî µÈ¹°, ÃæÅç ¹¯¼£(ÅìËÌÂç³Ø/Åŵ¤ÄÌ¿®¸¦µæ½ê) |
| Page | pp. 505 - 510 |
| Keyword | hardware, virtex2, BP |
| Abstract | At factories, the surface inspection of final products relies on visual inspection, which is based on experience and instinct. With such method it is difficult to reduce time and production cost, and hence an automatic inspection system is desired. We used a hardware back-propagation(BP) system enabling high-speed judgment and learning. In order to increase the operation speed, we have implemented parallel and pipeline processing in the hardware. Our hardware BP system could complete the process within 1.37 us. However, there was a case where learning could not be completed by such method. Therefore, we suggest an improved method to solve the problem in this paper. |
| Âê̾ | Elman·¿¥Õ¥£¡¼¥É¥Ð¥Ã¥¯SOM¤Ë¤è¤ëÉ÷¶·Í½Â¬¤Ø¤Î±þÍÑ |
| Ãø¼Ô | Æ£¾¾ À¿°ìϺ, Ïɸ« °éμ, ¿¢ÅÄ ÂóÌé, *¾®ÎÓ ÈôÄ»(Ä»¼è´Ä¶Âç³ØÂç³Ø±¡), ÃÛë δͺ(¾¾¹¾¹©¶È¹âÅùÀìÌç³Ø¹») |
| Page | pp. 511 - 516 |
| Keyword | ¼«¸ÊÁÈ¿¥²½¥Þ¥Ã¥×¡ÊSOM¡Ë, É÷¶·, ͽ¬, É÷ÎÏȯÅŵ¡ |
| Abstract | Ïɸ«¸¦µæ¼¼¤Ç¤ÏÄãÉ÷ÎϤǤâȯÅŲÄǽ¤Ê²ÈÄíÍѤξ®·¿É÷ÎÏȯÅŵ¡¤ËÃíÌܤ·¡¢¤è¤ê¸úΨ¤Î¤è¤¤¥Ñ¥ï¡¼¥¢¥·¥¹¥È¤ò¹Ô¤¦¤¿¤á¤ËÉ÷¶·¤Îͽ¬¤¬É¬ÍפǤ¢¤ë¤È¹Í¤¨¤¿¡£¤³¤ì¤Þ¤Ç¤Ë¡¢¼«¸ÊÁÈ¿¥²½¥Þ¥Ã¥×¡ÊSOM¡Ë¤òÍѤ¤¤ÆÉ÷®¤Îͽ¬¤ò¹Ô¤Ã¤Æ¤¤¿¡£Ä̾ï¤ÎSOM¤Ï¥À¥¤¥Ê¥ß¥Ã¥¯¥¹¤ò¤â¤¿¤Ê¤¤¤¿¤á»þ·ÏÎó¾ðÊó¤ò°·¤¦¤³¤È¤¬¤Ç¤¤Ê¤¤¡£¤½¤³¤Ç»þ·ÏÎó¾ðÊó¤ò°·¤¦ÊýË¡¤Î1¤Ä¤È¤·¤Æ¹Í¤¨½Ð¤µ¤ì¤¿SOM¤È¤·¤ÆElman·¿¥Õ¥£¡¼¥É¥Ð¥Ã¥¯SOM¤¬¤¢¤ë¡£Í½Â¬Î¨¤Î¸þ¾å¤òÌܻؤ·¤Æ¡¢º£²ó¤ÏÉ÷®¤Îº¹Ê¬Ãͤòµá¤á¡¢¤½¤Îº¹Ê¬Ãͤò³Ø½¬¤ËÍøÍѤ·¤¿¡£¤µ¤é¤ËElman·¿¥Õ¥£¡¼¥É¥Ð¥Ã¥¯SOM¤òÍѤ¤¤ÆÍ½Â¬¤ò¹Ô¤¤¡¢ÁÐÊý¸þSOM¤Ç¹Ô¤Ã¤¿Í½Â¬·ë²Ì¤ÈÈæ³Ó¤ò¹Ô¤Ã¤¿¡£ |
| Âê̾ | ¼«¸ÊÁÈ¿¥²½¥Þ¥Ã¥×¤ò¤â¤È¤Ë¤·¤¿¿·¤·¤¤Ç¾·¿¥Ï¡¼¥É¥¦¥§¥¢¤Î³«È¯ |
| Ãø¼Ô | *¶â»Ò ½¡»Ê, Åĸþ ¸¢, ÅÄÃæ Íø¹¯, ÆÁ±Ê ·ûÍÎ, ¸ÅÀî ŰÀ¸(¶å½£¹©¶ÈÂç³ØÂç³Ø±¡À¸Ì¿Âι©³Ø¸¦µæ²Ê) |
| Page | pp. 517 - 522 |
| Keyword | ¼«¸ÊÁÈ¿¥²½¥Þ¥Ã¥×, SOM2, FPGA, ¥Ï¡¼¥É¥¦¥§¥¢²½ |
| Abstract | Åö¸¦µæ¼¼¤Ï¡¤Batch Learning ¼«¸ÊÁÈ¿¥²½¥Þ¥Ã¥×(BL-SOM)¤ò¥Ù¡¼¥¹¤È¤·¤Æ¤³¤ì¤Þ¤Ç¤¤¤¯¤Ä¤«¤Î¿·¤·¤¤¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯¤òÄ󰯤·¤Æ¤¤¿¡¥ ¤½¤ÎÃæ¤Î°ì¤Ä¡¢SOM of SOM(SOM2)¤Ï¡ÖSOM¤Î½¸¹ç¤¬ºî¤ê½Ð¤¹ÆÃħ¶õ´Ö¤Î¿ÍÍÂΤν¸¹ç¤ò¼«¸ÊÁÈ¿¥²½¥Þ¥Ã¥×¤È¤·¤ÆÉ½¸½¤¹¤ë¡×¤³¤È¤¬¤Ç¤¤ë¡¥ ¤³¤Î¥¢¡¼¥¥Æ¥¯¥Á¥ã¤Ï¸½ºß¡¤²èÁüǧ¼±¡¤É÷·Êǧ¼±¤Ê¤ÉÍÍ¡¹¤Ê±þÍÑʬÌî¤ËŬÍѤ¹¤ë»ö¤ò¹Í¤¨¤Æ¤¤¤ë¡¥ ¤·¤«¤·¤³¤ì¤é¤Î±þÍѤϱ黻Î̤¬ËÄÂç¤Ç¤¢¤ë¡¥¤½¤³¤Ç¥Ï¡¼¥É¥¦¥§¥¢²½¤¹¤ë»ö¤ÇÊÂÎó½èÍý¤ò¹Ô¤¤¡¢¹â®±é»»¤ò¹Ô¤¦¤³¤È¤¬ÌÜŪ¤Ç¤¢¤ë¡£¤·¤¿¤¬¤Ã¤ÆËܹƤǤÏSOM2¤ò¼Â¸½¤Ç¤¤ë¥Ï¡¼¥É¥¦¥§¥¢¤ÎºîÀ®¤òÌܻؤ¹¡¥ º£²ó¤Ï¡¤SOM2¤Î¥Ù¡¼¥¹¤È¤Ê¤ëBL-SOM¤Î¥Ï¡¼¥É¥¦¥§¥¢²½¤Î¸¡Æ¤¤ò¹Ô¤¤¡¤¤½¤Î¾å¤ÇSOM2¤Î¥Ï¡¼¥É¥¦¥§¥¢²½¤Î¸¡Æ¤¤ò¹Ô¤Ã¤¿¤Î¤Ç¤½¤ì¤òÊó¹ð¤¹¤ë¡¥ |
| Âê̾ | ¥µ¥Ö¥¹¥ì¥Ã¥·¥ç¥ë¥ÉMOSÆÃÀ¤òÍøÍѤ·¤¿PTATÅÅήÀ¸À®¤Î¤¿¤á¤ÎÈù¾®¥Õ¥í¡¼¥Æ¥£¥ó¥°Å۵¸»²óÏ© |
| Ãø¼Ô | *¾åÌî ·û°ì, ×¢À¥ ůÌé, Àõ°æ ůÌé, ±«µÜ ¹¥¿Î(Ë̳¤Æ»Âç³Ø) |
| Page | pp. 523 - 528 |
| Keyword | ¥Õ¥í¡¼¥Æ¥£¥ó¥°Å۵¸», ¥µ¥Ö¥¹¥ì¥Ã¥·¥ç¥ë¥ÉÎΰè, PTATÅÅή, CMOS¥¹¥Þ¡¼¥È¥»¥ó¥µ |
| Abstract | MOSFET¤Î¥µ¥Ö¥¹¥ì¥Ã¥·¥ç¥ë¥ÉÅÅή¤òÍøÍѤ¹¤ë¤³¤È¤Ç¡¢ÀäÂв¹ÅÙ¤ËÈæÎ㤷¤¿PTAT (Proportional To Absolute Temperature)ÅÅή¤òÀ¸À®¤Ç¤¤ë¡£PTATÅÅή¤Ï²¹ÅÙ¥»¥ó¥µ¤Î¥»¥ó¥µ¥·¥°¥Ê¥ë¤È¤·¤ÆÍøÍѤ¹¤ë¤³¤È¤¬¤Ç¤¤ë¡£Ëܸ¦µæ¤Ç¤Ï¡¢¤³¤ÎPTATÅÅή¤òÀ¸À®¤¹¤ë¤¿¤á¤ËɬÍ×¤Ê¥Õ¥í¡¼¥Æ¥£¥ó¥°Å۵¸»¤òÄ󰯤¹¤ë¡£ 0.35 um-CMOS¥×¥í¥»¥¹¤òÍѤ¤¤ÆSPICE¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤ê²óϩưºî¤ò³Îǧ¤·¤¿¡£-20 ¡î¡Á100 ¡î¤Î²¹ÅÙÊѲ½¤ËÂФ·¤Æ¥Õ¥í¡¼¥Æ¥£¥ó¥°Å۵¤ÎÊÑÆ°¤Ï¡Þ0.3 %¤Þ¤ÇÍÞ¤¨¤ë¤³¤È¤¬¤Ç¤¤ë¡£¤³¤Î²óÏ©¤Ï¡¢¥µ¥Ö¥¹¥ì¥Ã¥·¥ç¥ë¥ÉÎΰè¤Çưºî¤·¡¢4.6 uW¤Î¶ËÄã¾ÃÈñÅÅÎÏ¤ÇÆ°ºî¤¹¤ë¡£ |
| Âê̾ | An Ultra Low-Power High-Speed Rail-to-Rail Buffer Amplifier for LCD Source Drivers |
| Ãø¼Ô | *Zheng Liang, Wei-Lun Huang, Jun Pan, Yasuaki Inoue(Graduate School of Information, Production and Systems, Waseda University) |
| Page | pp. 529 - 533 |
| Keyword | low-power, buffer amplifier, rail-to-rail, high-speed, LCD driver |
| Abstract | A high-speed, low-power, rail-to-rail buffer amplifier with improved current summing circuit is proposed for LCD source drivers. By placing two complementary differential pairs in parallel, it is possible to obtain a rail-to-rail input stage. Then, a current summing circuit with two embedded comparators is proposed. With the proposed current summing circuit, the output stages will be turned off at static state to suppress quiescent current, while keeping large driving capacity when they are turned on at dynamic state. In addition, the proposed buffer amplifier will not increase the chip size so that the buffer amplifier can be made compact. Simulation with a 0.35 um CMOS technology demonstrates that the buffer has a quiescent current of 2.0 uA and a maximum tracking error of 0.16 LSB with 100% rail-to-rail input swing. Settling time of 1.5 us and 2.1 us for the rising and falling edge is measured for rail-to-rail voltage swing with 600 pF capacitance load, which is sufficient for driving large LCD panels. |
| Âê̾ | ¤Î¤³¤®¤êÇÈȯÀ¸²óÏ©¤ÎÃÙ±ä»þ´Ö¤Ë¤è¤ë¸íº¹¤Î½¤Àµ |
| Ãø¼Ô | *ƣ¼ À¬¹°, ¹â°æ ¿ÏÂ(·²ÇÏÂç³Ø¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê) |
| Page | pp. 535 - 539 |
| Keyword | ¤Î¤³¤®¤êÇÈ, ¥¹¥¤¥Ã¥Á¥ó¥°ÅŸ», ¥³¥ó¥Ñ¥ì¡¼¥¿ |
| Abstract | ¡¡¥¹¥¤¥Ã¥Á¥ó¥°ÅŸ»²óÏ©¤Ï¡¢¾®·¿·ÚÎ̲½¤ÎÍøÅÀ¤«¤é¡¢Â¿¤¯¤ÎÅŻҵ¡´ï¤Ë»ÈÍѤµ¤ì¤Æ¤¤¤ë¡£ ¡¡¤³¤ÎÅŸ»²óÏ©¤Ï¡¢¤Î¤³¤®¤êÇȤμþÇÈ¿ô¤¬¹â¤¤¤ÈÀǽ¤¬Îɤ¯¤Ê¤ë¡£ ¡¡¤·¤«¤·¡¢¤Î¤³¤®¤êÇÈȯÀ¸²óÏ©¤Ï²óÏ©¤ÎÃÙ±ä»þ´Ö¤Ë¤è¤Ã¤Æ½ÐÎÏÅ۵¤Ë¸íº¹¤¬À¸¤¸¡¢¹â¤¤¼þÇÈ¿ô¤Ç¤Î¤³¤®¤êÇȤòȯÀ¸¤µ¤»¤é¤ì¤Ê¤¤¡£ ¡¡ËÜÏÀʸ¤Ç¤Ï¡¢¤Î¤³¤®¤êÇÈȯÀ¸²óÏ©Æâ¤Î¥³¥ó¥Ñ¥ì¡¼¥¿¤Î½ÐÎÏü¤Î´óÀ¸ÍÆÎ̤ˡ¢¤¢¤é¤«¤¸¤áÅŲ٤òί¤á¤Æ¤ª¤¯¤³¤È¤Ç¡¢ÃÙ±ä»þ´Ö¤Ë¤è¤ë¸íº¹¤ò½¤Àµ¤¹¤ë²óÏ©¹½À®¤òÄ󰯤¹¤ë¡£ ¡¡¤³¤ÎÄ󰯲óÏ©¤Ë¤è¤Ã¤Æ¤Î¤³¤®¤êÇÈȯÀ¸²óÏ©¤ÎÃÙ±ä»þ´Ö¤Ë¤è¤ë¸íº¹¤ò½¤Àµ¤Ç¤¤ë¤³¤È¤ò¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤ê³Îǧ¤·¤¿¡£ |
| Âê̾ | A High Efficiency All PMOS Charge Pump Circuit Without Overstress in Low-Voltage CMOS Process |
| Ãø¼Ô | *Jun Pan, Yasuaki Inoue(Graduate School of Information, Production and Systems, Waseda University) |
| Page | pp. 541 - 546 |
| Keyword | high efficiency, charge pump, without overstress, low voltage, CMOS |
| Abstract | A high efficiency all PMOS charge pump circuit without overstress is proposed in this paper. The proposed driver circuit can completely switch on and switch off the charge-transfer switches. In addition, the body effect is eliminated due to the proposed two pumping branches architecture. Therefore, its voltage pumping efficiency is much higher than that of the conventional designs. Moreover, the maximum gate-source, gate-drain and drain-source voltages of all transistors in the proposed charge pump circuit do not exceed the power supply voltage Vdd. The proposed charge pump circuit has been realized in a standard CMOS 0.35 um technology. The simulation results demonstrated that the proposed charge pump circuit has very high voltage pumping efficiency without overstress. Therefore, the proposed circuit is suitable for implementation in low-voltage CMOS processes. |
| Âê̾ | ¥Ç¥å¥¢¥ë¡¦¥Ç¥ë¥¿¡Ý¥·¥°¥ÞÊÑÄ´Êý¼°¤Ë¤è¤ë¥·¡¼¥à¥ì¥¹À©¸æ¾º¹ß°µ·Á¥³¥ó¥Ð¡¼¥¿¤ÎÀǽ²þÁ±¸¡Æ¤ |
| Ãø¼Ô | *¾®ËÙ ¹¯¸ù, ¸Åë ůÌé, ¸÷Ìî Àµ»Ö(·²ÇÏÂç³Ø¡¿Âç³Ø±¡¹©³Ø¸¦µæ²Ê), ¾®ÎÓ ½ÕÉ×(·²ÇÏÂç³Ø¡¿¹©³ØÉô), À¶¿å ÉÒɧ(ê¥ë¥Í¥µ¥¹¥Æ¥¯¥Î¥í¥¸¡¿À½Â¤ËÜÉô) |
| Page | pp. 547 - 550 |
| Keyword | ¥¹¥¤¥Ã¥Á¥ó¥°¥³¥ó¥Ð¡¼¥¿, ¾º¹ß°µ·ÁÅŸ», ¥Ç¥å¥¢¥ë¥Ç¥ë¥¿¥·¥°¥ÞÊÑÄ´, ¥Õ¥ë¥Ö¥ê¥Ã¥¸¹½À® |
| Abstract | ¹ß°µ·Á¡Ü¾º°µ·ÁÅŸ»¤òɬÍפȤ¹¤ë¹ÈÏ°Ï¤ÊÆþÎÏÅ۵¤ËÂбþ¤Î¥¹¥¤¥Ã¥Á¥ó¥°¥³¥ó¥Ð¡¼¥¿¤Ë¤ª¤¤¤Æ¡¢¥·¡¼¥à¥ì¥¹¤ËÀ©¸æÊý¼°¤òÀÚ´¹¤¨¤Æ°ÂÄê¤Ë½ÐÎÏÅ۵¤ò¶¡µë¤Ç¤¤ëÅŸ»¥·¥¹¥Æ¥à¡£¥Õ¥ë¥Ö¥ê¥Ã¥¸¹½À®¤Ç¥Ï¥¤¥µ¥¤¥É¡¿¥í¡¼¥µ¥¤¥É¤ÎMOS¥¹¥¤¥Ã¥Á¤òͤ·¡¢¤³¤Î¥¹¥¤¥Ã¥ÁÀ©¸æ¤Ë¤½¤ì¤¾¤ìÀìÍѤΥǥ륿¥·¥°¥ÞÊÑÄ´´ï¤òÀߤ±¤¿¹½À®¤òÄó°Æ¡£¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤ê¡¢Äã½ÐÎÏ¥ê¥×¥ë¤È¸úΨ¤ò¸¡Æ¤¤·¤¿¡£¤Þ¤¿¼Â¸³¤Ë¤è¤ê¡¢Ê¿¶ÑŪ¤Ë¸úΨ£¸£°¡ó¤ò³Îǧ¤·¤¿¡£ |
| Âê̾ | ¥Ç¥¸¥¿¥ëÀ©¸æÅŸ»ÍÑ ¹â»þ´Öʬ²òǽDPWM²óÏ© |
| Ãø¼Ô | ÌÚ¼ ·½¸ã, *¿¹ °Îʸ¼ù, »³ÅÄ ²Â±û, ¾®ÎÓ ½ÕÉ×(·²ÇÏÂç³Ø¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê), ¾®ËÙ ¹¯¸ù(·²ÇÏÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê ¥ë¥Í¥µ¥¹¥Æ¥¯¥Î¥í¥¸Àèü¥¢¥Ê¥í¥°²óÏ©¹©³Ø¹ÖºÂ), À¶¿å °ìÌé, ¸÷Ìî Àµ»Ö, »± Úß(·²ÇÏÂç³Ø¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê) |
| Page | pp. 551 - 556 |
| Keyword | ¥Ç¥¸¥¿¥ëÀ©¸æ, ÅŸ», PWM, »þ´Ö¼´¥¢¥Ê¥í¥°²óÏ© |
| Abstract | ËÜÏÀʸ¤Ç¤Ï¥Ç¥¸¥¿¥ëÀ©¸æÅŸ»¤ËÍѤ¤¤ë¤¿¤á¤Î, ¹â»þ´Öʬ²òǽ¥Ç¥¸¥¿¥ëPWMÀ¸À®²óÏ©¤Î¿·¹½À®¤òÄ󰯤¹¤ë.½¾Íè¤Î¥Ç¥¸¥¿¥ëPWM¤Ï¤½¤Î»þ´Öʬ²òǽ¤¬¡Ö¥²¡¼¥ÈÃÙ±ä¡×¤Ç·è¤Þ¤ë¤¬,¤³¤³¤ÇÄ󰯤¹¤ë¹½À®¤Ç¤Ï¡Ö£²¤Ä°Ê¾å¤Î¥²¡¼¥ÈÃÙ±ä¤Îº¹¡×¤Ç¤¢¤ë¤Î¤Ç, ¤è¤ê¹â»þ´Öʬ²òǽ¤¬¼Â¸½¤Ç¤¤ë.¤Þ¤¿²óÏ©Î̤¬ºï¸º¤µ¤ì¹â®¤Çưºî¤¹¤ëɬÍפ¬¤Ê¤¯¤Ê¤ë¤Î¤ÇÄã¾ÃÈñÅÅÎϲ½¤Ç¤¤ë. ¤µ¤é¤Ë³ÈÄ¥¥æ¡¼¥¯¥ê¥Ã¥É¸ß½üË¡¤ò¥Ù¡¼¥¹¤Ë¤·¤Æ¤½¤Î¥·¥¹¥Æ¥Þ¥Æ¥Ã¥¯¤ÊÀß·×¥¢¥ë¥´¥ê¥º¥à¤ò³«È¯¤·ºÇŬ²½À߷פò²Äǽ¤Ë¤·¤¿. Ä󰯼êË¡¤Ë¤è¤ë²óÏ©¹½À®¤È¸¶Íý, Àß·×¼êË¡¤ò½Ò¤Ù¤ë. |
| Âê̾ | Multi-scale Fragmented Edges Grouping for Monocular Building Extraction |
| Ãø¼Ô | *Jing Wang(Graduate School of Information, Production and Systems, Waseda University), Makoto Iwata, Hirokazu Koizumi, Hideo Shimazu(System Technology Laboratory, NEC System Technologies, Ltd.), Satoshi Goto, Takeshi Ikenaga(Graduate School of Information, Production and Systems, Waseda University) |
| Page | pp. 557 - 562 |
| Keyword | multi-scale grouping, fragmented edge grouping, monocular building extraction, aerial image |
| Abstract | Fragmented edges grouping is very important for the performance of the monocular building extraction systems. In this paper, we propose a novel method to robustly group fragmented edges that share the common underlying structure by analyzing their spatial and geometric correlation across multiple scales. Firstly, we propose a new linear edge extractor and utilize it on the image pyramid to obtain edge interpretations with different fragmentation degrees. Secondly, the orientation and location correlation of the linear edge maps at two neighboring scales is utilized to guide the fragmented edges grouping. Such grouping process is performed on the fragmented edges from higher scale to the finest scale and finally better connected linear features with precise locations are output. We also discuss how to adaptively determine the proper largest scale level of the image pyramid according to the correlations of linear features across scales. Experimental results demonstrated the capabilities of the multi-scale method to merge edges fragmented by noise, low contrast or occlusion on the building boundary and also to break connected but distinct edges into different line segments. |
| Âê̾ | ¦¤¦²ÊÑÄ´¤òÍѤ¤¤¿¾®µ¬ÌϤ«¤Ä¹âÀºÅÙ¤ÊPLL·¿ÆâÁÞ´ï¤ÎÀ߷פȸ¡Æ¤ |
| Ãø¼Ô | *ÀÞÌî ͵°ìϺ, ¹õß· ¼Â(Åìµþ¹©¶ÈÂç³Ø Áí¹çÍý¹©³Ø¸¦µæ²Ê), ÊÒ¶Í ¿ò(¤¹¤Æ¤¤Ê(Í)) |
| Page | pp. 563 - 568 |
| Keyword | ¦¤¦²ÊÑÄ´, ¥¨¥ó¥³¡¼¥ÀÆâÁÞ, ¥ª¡¼¥Ð¡¼¥µ¥ó¥×¥ê¥ó¥°, PLL |
| Abstract | ÆâÁÞ´ï¤Ï°ÌÃÖ¥»¥ó¥µ¤Ç¤¢¤ëÀµ¸¹ÇÈ¥¨¥ó¥³¡¼¥À¤Î¤¿¤á¤Î¥»¥ó¥µ¿®¹æ½èÍý¤Ç¤¢¤ë¡£ËÜÏÀʸ¤Ç¤ÏPLL¤Ë´ð¤Å¤¯¥È¥é¥Ã¥¥ó¥°·¿ÆâÁÞ´ï¤Î¿®¹æ½èÍý¤Ë´Ø¤·¤Æ¡¢¾®µ¬ÌϤʥϡ¼¥É¥¦¥§¥¢¤Ç¹â¤¤ÆâÁÞÀºÅÙ¤ò¼Â¸½¤¹¤ë¤³¤È¤òÌÜŪ¤Ë¡¢Äã¥Ó¥Ã¥È¤Ê¥ª¡¼¥Ð¡¼¥µ¥ó¥×¥ê¥ó¥°·¿¥Ç¥£¥¸¥¿¥ë¿®¹æ½èÍý¤Ë¤è¤ë¼Â¸½¤ò¸¡Æ¤¤·¤Æ¤¤¤ë¡£¥Ç¥£¥¸¥¿¥ë¿®¹æ¤ËÂФ¹¤ë¦¤¦²ÊÑÄ´¤òÍøÍѤ·¡¢·¸¿ô¾è»»¤ò¾è»»²óϩ̵¤·¤Ç¹Ô¤¦ÈæÎãÀÑʬ·¿¥ë¡¼¥×¥Õ¥£¥ë¥¿¤ò¿·¤¿¤ËÀ߷פ·¤¿¡£¤µ¤é¤Ë¡¢À߷פ·¤¿ÆâÁÞ´ï¤ò¥½¥Õ¥È¥¦¥§¥¢¤Ë¤è¤ë¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤ê¸¡Æ¤¤·¡¢ÀŻ߯þÎϤʤé¤Ó¤Ë°ìÄê®ÅÙÆþÎϤËÂФ·¤ÆÊĥ롼¥×¤Îʬ²òǽ°Ê¾å¤Î¸¡½ÐÀºÅÙ¤¬ÆÀ¤é¤ì¤ë¤³¤È¤ò³Îǧ¤·¤¿¡£¤Þ¤¿¤½¤ÎưŪÆÃÀ¤ò¼þÇÈ¿ô±þÅú¤È¤·¤Æ¸¡Æ¤¤·¤¿¡£ |
| Âê̾ | ¦¤¦²ÊÑÄ´¤Ë´ð¤Å¤¯1¥Ó¥Ã¥È¿®¹æ½èÍý¤Ë¤è¤ë¾õÂÖ¶õ´Öɽ¸½¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿Àß·×Ë¡¤Î¸¡Æ¤ |
| Ãø¼Ô | *°ËÆ£ ͪÆó, Æ»ÌÚ ¿µÆó, Âç·§ ÈË(̾¸Å²°Âç³ØÂç³Ø±¡¹©³Ø¸¦µæ²ÊÅŻҾðÊó¥·¥¹¥Æ¥àÀì¹¶ Âç·§¸¦µæ¼¼) |
| Page | pp. 569 - 574 |
| Keyword | ¦¤¦²ÊÑÄ´, 1¥Ó¥Ã¥È¿®¹æ½èÍý, ¾õÂÖ¶õ´Öɽ¸½ |
| Abstract | ²æ¡¹¤Ï¡¢¥Ï¡¼¥É¥¦¥§¥¢¼ÂÁõ¤ËŬ¤·¤¿ÊýË¡¤È¤·¤Æ¦¤¦²ÊÑÄ´¤Ë´ð¤Å¤¯1¥Ó¥Ã¥È¿®¹æ½èÍý¥·¥¹¥Æ¥à¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤·¤Æ¤¤¤ë¡£ËܹƤǤϡ¢¤³¤Î¿®¹æ½èÍý¥·¥¹¥Æ¥à¤Ë¤ª¤¤¤Æ¡¢Àþ·Á¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿¤ÎÀß·×Ë¡¤ò¸¡Æ¤¤¹¤ë¡£À߷פò¹Ô¤¦¤Ë¤¢¤¿¤ê¡¢´Ý¤á¸íº¹¤ä¥ª¡¼¥Ð¡¼¥Õ¥í¡¼¤Ê¤É¤È¤¤¤Ã¤¿Í¸Â¸ìĹÌäÂê¤È¤è¤Ð¤ì¤ëÌäÂê¤ò¹Íθ¤¹¤ëɬÍפ¬¤¢¤ë¡£¤³¤Î͸¸ìĹÌäÂê¤ò¹Íθ¤·¤¿À߷פò¹Ô¤¦¤¿¤á¡¢Ëܸ¦µæ¤Ç¤Ï¾õÂÖ¶õ´Öɽ¸½¤òƳÆþ¤¹¤ë¡£¾õÂÖ¶õ´Öɽ¸½¾å¤Ë¤ª¤¤¤Æ¡¢Í¸Â¸ìĹÌäÂê¤ò¹Íθ¤·¤¿1¥Ó¥Ã¥È¥Õ¥£¥ë¥¿¤ÎÀß·×Ë¡¤òÄ󰯤·¡¢¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤ª¤¤¤Æ¤½¤Î͸úÀ¤ò¼¨¤¹¡£ |
| Âê̾ | ¥ê¥ß¥Ã¥È¥µ¥¤¥¯¥ë¤Î¤Ê¤¤L2´¶ÅٺǾ®·Á¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿¤Î¹çÀ® |
| Ãø¼Ô | *Ȭ´¬ ½ÓÊå, °¤Éô Àµ±Ñ, ÀîËô À¯À¬(ÅìËÌÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²ÊÅŻҹ©³ØÀì¹¶) |
| Page | pp. 575 - 580 |
| Keyword | ¾õÂÖ¶õ´Ö¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿, ¥ê¥ß¥Ã¥È¥µ¥¤¥¯¥ë, L2´¶ÅٺǾ®¼Â¸½, ²ÄÀ©¸æÀ¥°¥é¥ß¥¢¥ó, ²Ä´Ñ¬À¥°¥é¥ß¥¢¥ó |
| Abstract | ËÜÏÀʸ¤Ç¤Ï¡¤¥ê¥ß¥Ã¥È¥µ¥¤¥¯¥ë¤Î¤Ê¤¤L2´¶ÅٺǾ®·Á¾õÂÖ¶õ´Ö¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿¤Î¹çÀ®Ë¡¤òÄ󰯤¹¤ë¡¥¾õÂÖ¶õ´Ö¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿¤Î͸¸ìĹ¼Â¸½ÌäÂê¤Î¤Ò¤È¤Ä¤Ë¡¤¥ê¥ß¥Ã¥È¥µ¥¤¥¯¥ë¤¬¤¢¤ë¡¥¥ê¥ß¥Ã¥È¥µ¥¤¥¯¥ë¤È¤Ï¡¤ºÆµ¢·Á¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿¤Ë¤ª¤¤¤Æ¡¤ÎíÆþÎÏ»þ¤Þ¤¿¤Ï°ìÄêÆþÎÏ»þ¤Ë¼þ´üŪ¤Ë¸½¤ì¤ëȯ¿¶¸½¾Ý¤Î¤³¤È¤Ç¤¢¤ë¡¥°ìÈ̤ˤϡ¤¥ê¥ß¥Ã¥È¥µ¥¤¥¯¥ë¤ÏȯÀ¸¤·¤Ê¤¤¤³¤È¤¬Ë¾¤Þ¤ì¤ë¡¥L2´¶ÅٺǾ®¼Â¸½¤Ï¡¤Ç¤°Õ¤Îľ¸ò¹ÔÎó¤Ë¤è¤ëºÂɸÊÑ´¹¤ËÂФ·¤ÆL2´¶ÅٺǾ®¼Â¸½¤òÊݤġ¤¤È¤¤¤¦À¼Á¤ò¤â¤Ä¡¥¤³¤ÎÀ¼Á¤òÍøÍѤ·¡¤L2´¶ÅٺǾ®¼Â¸½¤ËÂФ·¤ÆÅ¬ÀÚ¤Êľ¸ò¹ÔÎó¤Ë¤è¤ëºÂɸÊÑ´¹¤ò»Ü¤¹¤³¤È¤Ë¤è¤ê¡¤¥ê¥ß¥Ã¥È¥µ¥¤¥¯¥ë¤Î¤Ê¤¤L2´¶ÅٺǾ®¼Â¸½¤¬¹çÀ®¤Ç¤¤ë¤³¤È¤ò¼¨¤¹¡¥ |
| Âê̾ | ¾õÂÖ¶õ´Ö¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿¤Î¥ê¥ß¥Ã¥È¥µ¥¤¥¯¥ë¤È¼þÇÈ¿ôÊÑ´¹¤È¤Î´Ø·¸¤Ë¤Ä¤¤¤Æ |
| Ãø¼Ô | *±ÛÅÄ ½Ó²ð, °¤Éô Àµ±Ñ, ÀîËô À¯À¬(ÅìËÌÂç³ØÂç³Ø±¡ ¹©³Ø¸¦µæ²Ê ÅŻҹ©³ØÀì¹¶) |
| Page | pp. 581 - 586 |
| Keyword | ¾õÂÖ¶õ´Ö¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿, ¥ê¥ß¥Ã¥È¥µ¥¤¥¯¥ë, ¼þÇÈ¿ôÊÑ´¹, ¥°¥é¥ß¥¢¥ó¤òÊݸ¤¹¤ë¼þÇÈ¿ôÊÑ´¹ |
| Abstract | ËܹƤǤϡ¤¥Ç¥£¥¸¥¿¥ë¥Õ¥£¥ë¥¿¤Î¼Â¸½¤Ë¤ª¤¤¤Æ½ÅÍפÊÌäÂê¤Ç¤¢¤ë¥ê¥ß¥Ã¥È¥µ¥¤¥¯¥ë¤¬¡¤¼þÇÈ¿ôÊÑ´¹¤È¤É¤Î¤è¤¦¤Ê´Ø·¸¤Ë¤¢¤ë¤«¤Ë¤Ä¤¤¤Æ¿ô³ØÅª¤ËµÄÏÀ¤¹¤ë¡¥¤³¤ÎµÄÏÀ¤Ë¤ª¤¤¤Æ¡¤Ãø¼Ô¤é¤¬¤³¤ì¤Þ¤Ç¤ËÄ󰯤·¤Æ¤¤¤ë²ÄÀ©¸æÀ¡¦²Ä´Ñ¬À¥°¥é¥ß¥¢¥ó¤òÊݸ¤¹¤ë¼þÇÈ¿ôÊÑ´¹¤òÍѤ¤¤ë¡¥¤½¤Î·ë²Ì¤È¤·¤Æ¡¤¥ê¥ß¥Ã¥È¥µ¥¤¥¯¥ë¤òȯÀ¸¤·¤Ê¤¤¹½Â¤¤ò¤â¤Ä¥Õ¥£¥ë¥¿¤¬Í¿¤¨¤é¤ì¤¿¤È¤¡¤¤½¤Î¥Õ¥£¥ë¥¿¤ËÂФ·¤ÆÃø¼Ô¤é¤¬Ä󰯤·¤¿¼þÇÈ¿ôÊÑ´¹¤òŬÍѤ·¤ÆÆÀ¤é¤ì¤ëǤ°Õ¤Î¥Õ¥£¥ë¥¿¤â¤Þ¤¿¡¤¥ê¥ß¥Ã¥È¥µ¥¤¥¯¥ë¤òȯÀ¸¤·¤Ê¤¤¤³¤È¤ò¾ÚÌÀ¤¹¤ë¡¥¤³¤ì¤ËÂФ·¡¤½¾Íè¤Î¼þÇÈ¿ôÊÑ´¹¤Îµ½ÒË¡¤Ï¡¤¥ê¥ß¥Ã¥È¥µ¥¤¥¯¥ë¤òȯÀ¸¤·¤Ê¤¤À¼Á¤òɬ¤º¤·¤âÊݸ¤¹¤ë¤È¤Ï¸Â¤é¤Ê¤¤¤³¤È¤ò¼¨¤¹¡¥ |
| Âê̾ | A Unified Theory of the Optimum Approximation of Vector-Signals |
| Ãø¼Ô | *Yuichi Kida(School of Pharmaceutical Sciences, Ohu University), Takuro Kida(Department of Electrical and Electronics Engineering, Nihon University) |
| Page | pp. 587 - 592 |
| Keyword | Optimum approximation, filter bank, digital signal processing, vector-signals |
| Abstract | For a set of vector-signals such that generalized spectrums have weighted norms smaller than a given positive number, we present extended optimum approximation that minimizes various worst-case measures of approximation error at the same time. This approximation uses shift-variant interpolation functions that have the infinite support. Further, for a set of time-limited signals, we present a proof of the optimality of running-type discrete approximation that minimizes various worst-case measures of error. This approximation uses shift-invariant interpolation functions that have finite supports. Therefore, this approximation can be realized by FIR filter bank. |
| Âê̾ | Theory of the Optimum Approximation of Time-Limited Signals Based on Fredholm Integral Equation Using Pincherle-Goursat Kernel |
| Ãø¼Ô | *Yuichi Kida(School of Pharmaceutical Sciences, Ohu University), Takuro Kida(Department of Electrical and Electronics Engineering, Nihon University) |
| Page | pp. 593 - 598 |
| Keyword | Optimum approximation, filter bank, digital signal processing, Pincherle-Goursat kernel |
| Abstract | In the main part of this paper, we present a systematic discussion of the optimum running-type approximation based on Fredholm integral equation using Pincherle-Goursat kernel. We can choose flexible sub-bands, sample points and analysis filters in this approximation. Moreover, this approximation can be realized by FIR filter bank. |
| Âê̾ | Low Complexity MPEG-4 VideoTtranscoders for Storage and Delivery System in Mobile Networks |
| Ãø¼Ô | *Hironori Ito, Kazunori Ozawa, Kazuteru Watanabe, Kazuhiro Koyama, Atsushi Murashima(NEC/Mobile IP Network Division) |
| Page | pp. 599 - 602 |
| Keyword | audio recording, multimedia communication, video recording, video phone systems |
| Abstract | This paper proposes low complexity video transcoders for the video storage and delivery system in 3G (the 3rd generation) Circuit Switched (CS) networks, and presents their DSP implementation results. In the storage stage, the I-frame transcoder, which converts the first frame of MPEG-4 video stream to be stored into I-frame, employs a simple method to highly reduce complexity. Timestamp adjustment is proposed in order to solve buffer overflow and lack of audio-visual synchronization problems, which occur in the 3G CS networks, when applying this type of transcoder to the system. In the delivery stage, syntax transcoder is proposed which converts the formats of the streams to deliver several formats of MPEG-4 streams during the same session, by converting. This transcoder achieves no loss of the original video quality. The DSP implementation results show that the complexity of both proposed transocders is a total of 7.2 % in the average load on 720 MHz clock DSP, which is only 55 % of that of the conventional tandem transcoder. They are suitable for multi-channel operation in the storage and delivery system. |
| Âê̾ | MPEG-2/H.264¥È¥é¥ó¥¹¥³¡¼¥À¤Ë¤ª¤±¤ëÄã±é»»ÎÌÆ°¤Ãµº÷¼êË¡ |
| Ãø¼Ô | *¶¶ËÜ ·Ä¹¨(ÆÁÅçÂç³ØÂç³Ø±¡ Àèüµ»½Ñ²Ê³Ø¶µ°éÉô ¥·¥¹¥Æ¥àÁÏÀ¸¹©³ØÀì¹¶ Åŵ¤ÅÅ»ÒÁÏÀ¸¹©³Ø¥³¡¼¥¹), Á× Å·, ÅçËÜ Î´(ÆÁÅçÂç³ØÂç³Ø±¡ ¥½¥·¥ª¥Æ¥¯¥Î¥µ¥¤¥¨¥ó¥¹¸¦µæÉô ¾ðÊó¥½¥ê¥å¡¼¥·¥ç¥óÉôÌç) |
| Page | pp. 603 - 608 |
| Keyword | H.264, MPEG-2, ¥È¥é¥ó¥¹¥³¡¼¥À |
| Âê̾ | Inter Search Mode Reduction Based Parallel Propagate Partial SAD Architecture for Variable Block Size Motion Estimation in H.264/AVC |
| Ãø¼Ô | *Yiqing Huang, Zhenyu Liu, Yang Song, Satoshi Goto, Takeshi Ikenaga(Graduate School of Information, Production and Systems, Waseda University) |
| Page | pp. 609 - 614 |
| Keyword | mode reduction, propagate partial SAD, motion esitmation, VBSME, HDTV |
| Abstract | The newest video coding standard H.264/AVC has a wide range of applications, from QCIF to HDTV. For large frame size video sequences, small inter search modes contribute negligible gain in the video quality. This paper proposes a mode reduction based propagate partial SAD architecture that targets high resolution pictures¡Çcoding. With mode decision based on coarse rate-distortion calculation, this approach contributes to the coding performance. Moreover, the proposed architecture performs well when parallelism and high clock speed are considered. Finally, we give out the mode reduction based eight-set propagated partial SAD hardwired integer motion estimation engine for H.264/AVC. Its peak throughput is 720p@30Hz with the 128 ¡ß 64 search range and 5 reference frames. Compared with the original parallel SAD tree architecture, 12k gates hardware cost can be saved by our design. |
| Âê̾ | Motion-Content Based Search Range Prediction in Variable Block Size Motion Estimation |
| Ãø¼Ô | *ZhenXing Chen, Yang Song, Takeshi Ikenaga, Satoshi Goto(The Graduate School of Information, Production and Systems, Waseda University) |
| Page | pp. 615 - 618 |
| Keyword | VBSME, search range, motion content, motion vector predictor |
| Abstract | In this paper, one adaptive search range prediction algorithm is proposed for the variable block size motion estimation (VBSME) in H.264/AVC. In the presented algorithm, the search range is dynamically adjusted according to the motion content, which is defined by three motion vector predictions. Experimental results have shown that the proposed method can save up to 50% of computational complexity with competitive image quality in [10]. |
| Âê̾ | ¥Ó¥Ã¥È¥Ñ¥¿¡¼¥óËä¹þ¤ß²Äǽ¤Ê²èÁüÅÅ»ÒÆ©¤«¤·Ë¡¤ËÂФ¹¤ë¿·¤·¤¤¸°·ÏÎó¤ÎÄó°Æ |
| Ãø¼Ô | *ÃæËÜ ¾»Í³, Æ£ËÜ Âî(¹ÅçÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê), ÅÚ°æ ¾Ï½¼(¹Å繩¶ÈÂç³Ø¾ðÊó³ØÉô), ¿÷¸µ ¹§É×(¹ÅçÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê) |
| Page | pp. 619 - 624 |
| Keyword | ÅÅ»ÒÆ©¤«¤·, DWT, ¥Ó¥Ã¥È¥Ñ¥¿¡¼¥ó, ¸°·ÏÎó, Ãøºî¸¢Êݸî |
| Âê̾ | °ÌÁê¸ÂÄêÁê´ØË¡¤òÍѤ¤¤¿¾¸ÌæÇ§¾Ú¥¢¥ë¥´¥ê¥º¥à¤È¤½¤ÎÀǽɾ²Á |
| Ãø¼Ô | *°ËÆ£ ¹¯°ì, ÀÄÌÚ ¹§Ê¸(ÅìËÌÂç³Ø), ÃæÅç ´², ¾®ÎÓ ¹§¼¡(³ô¼°²ñ¼Ò»³Éð), Èõ¸ý ζͺ(ÅìË̹©¶ÈÂç³Ø) |
| Page | pp. 625 - 630 |
| Keyword | ¾¸ÌæÇ§¾Ú, °ÌÁê¸ÂÄêÁê´ØË¡, ¥Ð¥¤¥ª¥á¥È¥ê¥¯¥¹, ¸Ä¿Íǧ¾Ú, ¥»¥¥å¥ê¥Æ¥£ |
| Abstract | ¼ê¤Î¤Ò¤é¤Ï¡¤¼ê¤ÎÆâ¦¤ÎɽÌ̤Ǥ¢¤ê¡¤»ØÌæ¤Î¤è¤¦¤ÊδÀþ¤Î¥Ñ¥¿¡¼¥ó¤ò»ý¤Ã¤Æ¤¤¤ë¡¥¤³¤Î¥Ñ¥¿¡¼¥ó¤ò¾¸Ìæ¤È¸Æ¤Ö¡¥¾¸Ìæ¤Ï¡¤»ØÌæ¤ÈÈæ¤Ù¤ÆÎΰ褬Â礤¤¤³¤È¤ä¡¤Î´Àþ°Ê³°¤Ë¤âºÙ¤«¤¤¤·¤ï¤äÆÃ°ÛÅÀ¡¤¸ÇͤΥƥ¯¥¹¥Á¥ã¤òͤ·¤Æ¤¤¤ë¤³¤È¤è¤ê¡¤»ØÌæ¤è¤ê¤â¼±ÊÌÀǽ¤¬¹â¤¤¤È¸À¤ï¤ì¤Æ¤¤¤ë¡¥ËÜÏÀʸ¤Ç¤Ï¡¤°ÌÁê¸ÂÄêÁê´ØË¡ (Phase-Only Correlation: POC) ¤òÍѤ¤¤¿¾¸ÌæÇ§¾Ú¥¢¥ë¥´¥ê¥º¥à¤òÄ󰯤¹¤ë¡¥°ÌÁê¸ÂÄêÁê´ØË¡¤Ï¡¤²èÁü¤Î°ÌÁê¾ðÊó¤òÍѤ¤¤¿¹âÀºÅÙ²èÁü¥Þ¥Ã¥Á¥ó¥°¤Ç¤¢¤ê¡¤¥Ð¥¤¥ª¥á¥È¥ê¥¯¥¹Ç§¾Ú¤Ë¤ª¤¤¤Æ¤â͸úÀ¤¬¼Â¾Ú¤µ¤ì¤Æ¤¤¤ë¡¥¤Þ¤¿¡¤¾¸Ìæ²èÁü¥Ç¡¼¥¿¥Ù¡¼¥¹¤òÍѤ¤¤¿Àǽɾ²Á¼Â¸³¤òÄ̤·¤Æ¡¤Ä󰯼êË¡¤¬¹âÀǽ¤Ç¤¢¤ë¤³¤È¤ò¼¨¤¹¡¥ |
| Âê̾ | An Efficient Encryption Scheme for H.264 Format Video Streams |
| Ãø¼Ô | *Jidong Wang, Yibo Fan(Graduate School of Information, Production and Systems, Waseda University), Takeshi Ikenaga(Graduate School of Information, Production and Systems,Waseda University), Satoshi Goto(Graduate School of Information, Production and Systems, Waseda University) |
| Page | pp. 631 - 636 |
| Keyword | H.264/AVC encryption, 4x4 intra prediction mode, MVD, sub-MB type |
| Âê̾ | ¸¶²èÁü¤ÎÅý·×Î̤ˤè¤é¤Ê¤¤²ÄµÕ¾ðÊóËä¹þË¡ |
| Ãø¼Ô | *¶â ¹°ÎÓ(¼óÅÔÂç³ØÅìµþÂç³Ø±¡), Æ£µÈ ÀµÌÀ, µ®²È ¿Î»Ö(¼óÅÔÂç³ØÅìµþ) |
| Page | pp. 637 - 642 |
| Keyword | ¥í¥¹¥ì¥¹, ¥¢¥ó¥À¡¼¥Õ¥í¡¼, ¥ª¡¼¥Ð¡¼¥Õ¥í¡¼, °åÍÑ, ÅÅ»ÒÆ©¤«¤· |
| Abstract | ËܹƤϡ¤¶õ´ÖÎΰè¤Ç²èÁü¤Ø¾ðÊó¤òËä¤á¤ë²ÄµÕ¾ðÊóËä¹þË¡¤òÄ󰯤·¤Æ¤¤¤ë¡¥²ÄµÕ¾ðÊóËä¹þË¡¤Ï¡¤¾ðÊó¤¬Ëä¤á¤é¤ì¤¿²èÁü¡Ê¥¹¥Æ¥´²èÁü¡Ë¤«¤é¾ðÊó¤òÃê½Ð¤¹¤ë¤À¤±¤Ç¤Ê¤¯¡¤¸¶²èÁü¤òÉü¸µ²Äǽ¤Ê¼êË¡¤Ç¤¢¤ë¡¥Äó°ÆË¡¤Ï¡¤Ëä¹þÂоݲèÁǤζá˵²èÁǤ«¤éÆÀ¤é¤ì¤ëÅý·×Î̤˴ð¤Å¤¤¤Æ²èÁü¤Ø¾ðÊó¤òËä¤á¤ë¡¥Äó°ÆË¡¤Ï½¾ÍèË¡¤È°Û¤Ê¤ê¡¤²ÄµÕ½èÍý¤Ë¤è¤Ã¤Æ¸¶²èÁü¤òÁ°½èÍý¤¹¤ë¤¿¤á¡¤¸¶²èÁü¤ÎÅý·×Î̤ˤè¤é¤ºÂ¿¤¯¤Î²èÁü¤Ø¾ðÊó¤òËä¤á¤ë¤³¤È¤¬²Äǽ¤È¤Ê¤Ã¤Æ¤¤¤ë¡¥¤µ¤é¤Ë¡¤¸¶²èÁü¤ÎÅý·×Î̤˴ð¤Å¤Å¬±þŪ¤ËÁ°½èÍý¤¹¤ë¤¿¤á¡¤Ëä¹þ²Äǽ¾ðÊóÎ̤òÁý²Ã¤¹¤ë½¾ÍèË¡¤ËÂФ·¤Æ¥¹¥Æ¥´²èÁü¤Î²è¼Á¤ò¸þ¾å¤·¤Æ¤¤¤ë¡¥¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤Ã¤Æ¡¤Äó°ÆË¡¤Î͸úÀ¤¬¼¨¤µ¤ì¤Æ¤¤¤ë¡¥ |
| Âê̾ | Delay Balancing by Min-Cut Algorithm for Reducing the Area of Pipelined Circuits |
| Ãø¼Ô | *Bakhtiar Affendi Rosdi, ¹â¶¶ ÆÆ»Ê(Tokyo Institute of Technology) |
| Page | pp. 643 - 648 |
| Keyword | multi-clock cycle paths, clock-scheduling, delay balancing, minimum cut, pipelined circuits |
| Abstract | A new algorithm is proposed to reduce the area of a pipelined circuit using a combination of multi-clock cycle paths, clock scheduling and delay balancing under the condition that the circuit works correctly at target clock-period range. The algorithm analyzes the circuit and determines the path where the intermediate registers can be removed by delay balancing. A min-cut algorithm is used to minimize the number of inserted delay elements during delay balancing. Experiments with a pipelined multiplier verify that the proposed algorithm can reduce the area of a pipelined circuit without degrading performance. |
| Âê̾ | ¥Ç¡¼¥¿¥Ñ¥¹¤Ë¤ª¤±¤ëÃÙ±äÊÑÆ°ÂÑÀ¤Ë´Ø¤¹¤ë´ðÁÃŪ¸¡Æ¤ |
| Ãø¼Ô | *°æ¾å ·Ã²ð, ¶â»Ò Êöͺ, ´ä³À ¹ä(ËÌΦÀèü²Ê³Øµ»½ÑÂç³Ø±¡Âç³Ø) |
| Page | pp. 649 - 654 |
| Keyword | ¹â°Ì¹çÀ®, ÃÙ±äÊÑÆ°, ¥ì¥¸¥¹¥¿³ä¤êÅö¤Æ |
| Abstract | ȾƳÂÎ¥×¥í¥»¥¹¤ÎÈùºÙ²½¤Ëȼ¤¤¡¤´óÀ¸ÁǻҤαƶÁÁýÂ硤 Å۵¤ÎÈù¼å²½¤¬¿Ê¤ß¡¤»¨²»¤äÃÙ±ä¤Ð¤é¤Ä¤¤ÎÌäÂ꤬ ¸²ºß²½¤·¤Æ¤¤Æ¤¤¤ë¡¥ Ëܸ¦µæ¤Ç¤Ï¡¤ÃÙ±ä¤Ð¤é¤Ä¤¤Î²¼¤ÇÀµ¤·¤¯Æ°ºî¤¹¤ë²óÏ©¤ò¡¤ ÄêÀŪ¤Ë͸¤ÊǤ°Õ¤ÎÃÙ±ä¤Ð¤é¤Ä¤¤Î²¼¤Ç Àµ¤·¤¯Æ°ºî¤¹¤ë¥¯¥í¥Ã¥¯¼þ´ü¤¬Â¸ºß¤¹¤ë²óÏ©¤Èª¤¨¡¤ ²óÏ©¤Î¥Ç¡¼¥¿¥Ñ¥¹Éô¤Ë¤ª¤±¤ë ¥ì¥¸¥¹¥¿Å¾Á÷¥ì¥Ù¥ëÀß·×¾ò·ï¤òÌÀ¤é¤«¤Ë¤¹¤ë¡¥ ¤Þ¤¿¡¤¤³¤ì¤Ë´ð¤Å¤¤¤ÆÃÙ±ä¤Ð¤é¤Ä¤¤ò¹Íθ¤·¤¿ ¥ì¥¸¥¹¥¿³ä¤êÅö¤ÆÌäÂê¤ò¹Í¤¨¤ë¡¥ ÆþÎϥǡ¼¥¿¥Õ¥í¡¼¥°¥é¥Õ¤¬ÌµÊÄϩ͸þ¥°¥é¥Õ¤Î¤È¤ ¥ì¥¸¥¹¥¿¿ôºÇ¾®¤òÊݾڤ¹¤ë¥ì¥¸¥¹¥¿³ä¤êÅö¤Æ¼êË¡¤ò¼¨¤¹¡¥ ºÇ¸å¤Ë¡¤ÃÙ±ä¤Ð¤é¤Ä¤¤Î²¼¤ÇÀµ¤·¤¯Æ°ºî¤¹¤ë À©¸æÉô¤Ë´Ø¤¹¤ë¹Í»¡¤ò¹Ô¤¦¡¥ |
| Âê̾ | ÀìÍѱ黻´ï¤È±é»»¤Î¥Á¥§¥¤¥Ë¥ó¥°¤Î¥È¥ì¡¼¥É¥ª¥Õ¤ò¹Íθ¤·¤¿Æ°ºî¹çÀ®¼êË¡ |
| Ãø¼Ô | *ÄçÊý µ£(¶å½£Âç³ØÂç³Ø±¡¥·¥¹¥Æ¥à¾ðÊó²Ê³ØÉÜ), ¾¾±Ê ͵²ð(¶å½£Âç³ØÂç³Ø±¡¥·¥¹¥Æ¥à¾ðÊó²Ê³Ø¸¦µæ±¡) |
| Page | pp. 655 - 660 |
| Keyword | ưºî¹çÀ®, ¥Á¥§¥¤¥Ë¥ó¥°, ÀìÍѱ黻´ï |
| Abstract | ưºî¹çÀ®¤Ë¤ª¤¤¤Æ¡¢¸ß¤¤¤Ë¥Ç¡¼¥¿°Í¸´Ø·¸¤ò»ý¤ÄÊ£¿ô¤Î±é»»¤òƱ°ì ¤Î¥³¥ó¥È¥í¡¼¥ë¥¹¥Æ¥Ã¥×¤Ç¼Â¹Ô¤¹¤ëÊýË¡¤Ï£²¤Ä¤¢¤ë¡££±¤Ä¤Ï´ðËÜ ¤È¤Ê¤ë±é»»´ï¤òÁȤ߹ç¤ï¤»¤ë¤³¤È¤Ç¼Â¹Ô¤ò²Äǽ¤È¤¹¤ë±é»»¤Î¥Á¥§¥¤ ¥Ë¥ó¥°¤Ç¤¢¤ë¡£¤â¤¦£±¤Ä¤ÏÀìÍѱ黻´ï¤òÍѤ¤¤ëÊýË¡¤Ç¤¢¤ë¡£ÀìÍÑ±é »»´ï¤Ï·å¤¢¤²Êݸ²Ã»»´ï¤òÍѤ¤¤ë¤Ê¤É¤ÎÊýË¡¤Ç¹â®¤«¤Ä¾®ÌÌÀѤ˹½ À®¤¹¤ë¤³¤È¤¬²Äǽ¤Ç¤¢¤ë¡£°ìÊý¡¢Ãæ´Ö¤Î±é»»·ë²Ì¤òÆÀ¤ë¤³¤È¤¬º¤Æñ ¤Ç¤¢¤ë¾ì¹ç¤¬Â¿¤¯¡¢´ðËܱ黻´ï¤ÎÁȤ߹ç¤ï¤»¤ËÈæ¤Ù¤ÆÂ¾¤Î±é»»¤È¤Î ±é»»´ï¤Î¶¦Í¤Î¤·¤ä¤¹¤µ¤ÏÎô¤ë¡£¤Ä¤Þ¤ê¡¢¤¤¤º¤ì¤ÎÊýË¡¤òÍѤ¤¤ë¤« ¤ÎÁªÂò¤Ë¤Ï±é»»´ï¤ÎÃÙ±ä¤äÌÌÀѤȡ¢¶¦Í¤Î¤·¤ä¤¹¤µ¤Î¥È¥ì¡¼¥É¥ª¥Õ ´Ø·¸¤¬Â¸ºß¤¹¤ë¡£ËÜÏÀʸ¤Ç¤Ï¡¢¥Á¥§¥¤¥Ë¥ó¥°¤ÈÀìÍѱ黻´ï¤ÎÍøÍѤò Ʊ»þ¤Ë¹Íθ¤·¤¿¡¢¥â¥¸¥å¡¼¥ëÁªÂò¡¢¥¹¥±¥¸¥å¡¼¥ê¥ó¥°¡¢¥¢¥í¥±¡¼¥· ¥ç¥óÌäÂê¤òÄê¼°²½¤·¡¢¥Ù¥ó¥Á¥Þ¡¼¥¯¤ËŬÍѤ·¤¿·ë²Ì¤ò¼¨¤¹¡£ |
| Âê̾ | (¾·ÂÔ)À½Â¤¡¦´Ä¶¤Ð¤é¤Ä¤¤ÈÀ½Â¤¸åÀǽÊä½þ¤ò¹Íθ¤·¤¿¥¿¥¤¥ß¥ó¥°¸¡¾Ú¤Ë¸þ¤±¤Æ |
| Ãø¼Ô | *¶¶ËÜ ¾»µ¹(ÂçºåÂç³Ø) |
| Page | pp. 661 - 666 |
| Keyword | À½Â¤¤Ð¤é¤Ä¤, ÅŸ»¥Î¥¤¥º, Åý·×Ū¥¿¥¤¥ß¥ó¥°²òÀÏ, ´Ä¶¤Ð¤é¤Ä¤, ưŪÀǽÊä½þ |
| Abstract | À½Â¤¡¤´Ä¶¤Ð¤é¤Ä¤¤Ë¤è¤ëÃÙ±äÊÑÆ°¤¬¿¼¹ï²½¤·¤¿LSI ¤Î¥¿¥¤¥ß¥ó¥°¸¡¾Úµ»½Ñ¤Ë¤Ä¤¤¤ÆµÄÏÀ¤¹¤ë¡¥À½Â¤¤Ð¤é¤Ä¤ ¤ò¬Äꤷ¡¤¥â¥Ç¥ë²½¡¤²òÀϤ¹¤ëµ»½Ñ¤¬À¹¤ó¤Ë¸¦µæ¤µ¤ì¤Æ ¤¤¤ë°ìÊý¡¤ÅŸ»¥Î¥¤¥º¤ÏÆþÎÏ¥Ù¥¯¥È¥ë°Í¸À¤Ê¤É¤ÎÌäÂê ÅÀ¤«¤é¸¡Æ¤¤¬ÉÔ½½Ê¬¤Ç¤¢¤ë¡¥ËܹƤǤϡ¤²æ¡¹¤¬¼è¤êÁȤó ¤Ç¤¤¤ëÀ½Â¤¡¦´Ä¶¤Ð¤é¤Ä¤¤òÅý°ìŪ¤Ë¼è¤ê°·¤Ã¤¿¥¿¥¤¥ß¥ó ¥°¸¡¾Úµ»½Ñ¤Î°ìÎã¤ò¾Ò²ð¤¹¤ë¡¥¤Þ¤¿¡¤º£¸å¤Î¸¦µæÆ°¸þ¤È ¤·¤Æ¡¤À½Â¤¸å¤ÎÀǽÊä½þ¤ò¹Íθ¤·¤¿¥¿¥¤¥ß¥ó¥°²òÀÏ¡¤Êâ α¤Þ¤êͽ¬¤ò¼è¤ê¾å¤²¡¤¸¦µæ²ÝÂê¤ò¼¨¤¹¡¥ |
| Âê̾ | ÅŸ»¥Î¥¤¥º¤Î¶õ´ÖŪÁê´Ø¤ò¹Íθ¤·¤¿Åý·×Ū¥¿¥¤¥ß¥ó¥°²òÀÏ |
| Ãø¼Ô | *±ÝÊ ¹§»Ê, ÆóµÜ ¿ÊÍ, ¶¶ËÜ ¾»µ¹(ÂçºåÂç³Ø Âç³Ø±¡¾ðÊó²Ê³Ø¸¦µæ²Ê ¾ðÊó¥·¥¹¥Æ¥à¹©³ØÀì¹¶) |
| Page | pp. 667 - 672 |
| Keyword | ÅŸ»¥Î¥¤¥º, SSTA, Áê´Ø, ľ¸ò²½, ¼çÀ®Ê¬Ê¬ÀÏ |
| Abstract | ¶áǯ¡¢ÅŸ»¥Î¥¤¥º¤¬¥¿¥¤¥ß¥ó¥°¤ËÍ¿¤¨¤ë±Æ¶Á¤¬Â礤¯¤Ê¤Ã¤Æ¤¤¤ë¡£ÅŸ»¥Î¥¤¥º¤ÏÆþÎÏ¥Ù¥¯¥È¥ë¤Ë¤è¤êÊѲ½¤·¡¢ ¥¿¥¤¥ß¥ó¥°¤¬ºÇ°¤È¤Ê¤ëÆþÎÏ¥Ù¥¯¥È¥ë¤òµá¤á¤ë¤Î¤ÏÈó¾ï¤Ëº¤Æñ¤Ç¤¢¤ë¡£ËÜÏÀʸ¤Ç¤Ï¡¢Åý·×Ū¤ËÅŸ»¥Î¥¤¥º¤ò¼è¤ê°·¤Ã¤¿ÀÅŪÃÙ±ä²òÀϤòÄ󰯤¹¤ë¡£ÅŸ»¥Î¥¤¥º¤òưŪÊÑÆ°¾ðÊó¤òÊÝ»ý¤·¤¿ÌµÁê´Ø¤ÊÊÑ¿ô¤ËÊÑ´¹¤·¡¢Åý·×Ū¥â¥Ç¥ë¤È¤·¤ÆÉ½¸½¤¹¤ë¡£ÅŸ»Å۵¤ÎÁê´Ø¤ÏÈó¾ï¤Ë¶¯¤¤¤¿¤á¡¢Ä¾¸ò²½¼êË¡¤È¤·¤Æ¼çÀ®Ê¬Ê¬ÀϤ¬Í¸ú¤Ç¤¢¤ë¤³¤È¤ò¼¨¤¹¡£¼Â¸³¤Ë¤è¤êÄ󰯼êË¡¤Î͸úÀ¤ò¼¨¤·¡¢ÃÙ±ä²òÀÏÀºÅ٤ȷ׻»»þ´Ö¤òµÄÏÀ¤¹¤ë¡£ |
| Âê̾ | ¥·¥¹¥Æ¥àÀ߷פΤ¿¤á¤Î¥Õ¥ì¥¥·¥Ó¥ê¥Æ¥£¤Î¹â¤¤¥·¥ß¥å¥ì¡¼¥·¥ç¥ó´Ä¶¤òÍѤ¤¤¿¿®¹æ½èÍý¥¢¥ë¥´¥ê¥º¥à¤Î¼ÂÁõ»Ù±ç |
| Ãø¼Ô | *»°¹¥ ·òʸ, ¿ùÌî Īɧ(Åìµþ¹©¶ÈÂç³ØÁí¹çÍý¹©³Ø¸¦µæ²ÊʪÍý¾ðÊó¥·¥¹¥Æ¥àÀì¹¶¿ùÌµæ¼¼) |
| Page | pp. 673 - 678 |
| Keyword | ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó´Ä¶, ¥·¥¹¥Æ¥àÀß·×, ¿®¹æ½èÍý |
| Abstract | Äã¾ÃÈñÅÅÎÏ¡¤¸Â¤é¤ì¤¿¥ê¥½¡¼¥¹¤Î¾å¤Ç¡¤¸úΨ¤ÎÎɤ¤¥¢¥×¥ê¥±¡¼¥·¥ç¥ó¤ò¼Â¸½¤¹¤ë¤¿¤á¤Ë¤Ï¡¤¥Ï¡¼¥É¥¦¥§¥¢¤È¥½¥Õ¥È¥¦¥§¥¢¤ÎξÊý¡¤¤¹¤Ê¤ï¤Á¥·¥¹¥Æ¥à¥¢¡¼¥¥Æ¥¯¥Á¥ã¤ÎÀ߷פ¬½ÅÍפǤ¢¤ë¡¥¤³¤Î¥·¥¹¥Æ¥à¤ÎÀ߷פª¤è¤Óɾ²Á¤Ë¤Ï¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤¬Í¸ú¤Ç¤¢¤ë¤¬¡¤½¾Íè¤è¤êÍѤ¤¤é¤ì¤Æ¤¤¤ë¼êË¡¤Ç¤Ï¡¤¤½¤Î¹½Ãۤˤ«¤«¤ë¥³¥¹¥È¤¬Â礤¯¡¤¼ê·Ú¤ËÍÍ¡¹¤Ê¥Ç¥Ð¥¤¥¹¤Ë¤è¤ë¥·¥¹¥Æ¥à¤ò»î¹Ô¤¹¤ë¤³¤È¤¬Æñ¤·¤¤¡¥ Ä󰯤¹¤ëMICS¤Ç¤Ï¡¤½ÀÆð¤Ê¥·¥¹¥Æ¥à¹½À®¤È¥µ¥¤¥¯¥ë¥ì¥Ù¥ë¤Ç¤Î¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤ê³«È¯¤Î½é´üÃʳ¬¤«¤é¼Â¥¢¥×¥ê¥±¡¼¥·¥ç¥ó¤Ë¶á¤¤¥½¥Õ¥È¥¦¥§¥¢¤òưºî¤µ¤»¤ë¤³¤È¤¬²Äǽ¤Ç¤¢¤ë¡¥ ËÜÏÀʸ¤Ç¤Ï¡¤¤³¤Î¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Îưºî®Å٤ˤĤ¤¤Æ¤Îɾ²Á¤ò¹Ô¤¤¡¤¿®¹æ½èÍý¥×¥í¥°¥é¥à¤òÎã¤Ë¤È¤Ã¤¿¥·¥ß¥å¥ì¡¼¥·¥ç¥ó·ë²Ì¤ò¼¨¤¹¡¥ |
| Âê̾ | C¥Ù¡¼¥¹Àß·×¼êË¡¤òÍѤ¤¤¿±Õ¾½¥Æ¥ì¥ÓÍѲèÁü½èÍýLSI¤Î³«È¯ |
| Ãø¼Ô | *»³ÅÄ ¹¸µ×, ÃÝÅÄ ¿®¹°, ²¬ÅÄ Ïµ×, ÂçÀ¾ ½¼µ×, ¿¹²¼ µ®¹°, ³á¼ ¹¸Íµ, Á°ÅÄ ¿¿°ì, ÀÐÅÄ Ë, ¾±Ìî ¾¹Ô, ÅÄÃæ δµÈ, µÈÅÄ °é¹°, µÆÃÏ ÍºÆó, ¿ùÌî Æ»¹¬(¥·¥ã¡¼¥×) |
| Page | pp. 679 - 684 |
| Keyword | ¹â°Ì¹çÀ®, Bach, C¥Ù¡¼¥¹Àß·×, ¥¢¥µ¡¼¥·¥ç¥ó¥Ù¡¼¥¹¸¡¾Ú |
| Abstract | ËÜʸ¤Ç¤Ï¡¢Åö¼Ò¤Ç¹½ÃÛ¤·¤¿¹â°Ì¹çÀ®¼êË¡¤òÃæ¿´¤È¤·¤¿C¥Ù¡¼¥¹Àß·×¥Õ¥í¡¼¤Ë¤Ä¤¤¤Æ±ä¤Ù¡¢ > ¤³¤ÎÀß·×¥Õ¥í¡¼¤òÍѤ¤¤¿¥±¡¼¥¹¥¹¥¿¥Ç¥£¤È¤·¤Æ±Õ¾½TV¸þ¤±²èÁü½èÍýLSI¤òÀ߷פ·¤¿·ë²Ì¤ò¼¨¤·¡¢Ä󰯼êË¡¤Î͸úÀ¤ò¼¨¤¹¡£ |
| Âê̾ | C¸À¸ìÀ߷פˤª¤±¤ë¥¢¡¼¥¥Æ¥¯¥Á¥ãºÇŬ²½¼êË¡ |
| Ãø¼Ô | *¿À¸Í ¾°»Ö(¶áµ¦Âç³ØÍý¹©³ØÉôÅŵ¤ÅŻҹ©³Ø²Ê), ¾å¹Ã ·û»Ô, ¾åÄÅ ´²ÏÂ(¶áµ¦Âç³ØÂç³Ø±¡Áí¹çÍý¹©³Ø¸¦µæ²Ê ¥¨¥ì¥¯¥È¥í¥Ë¥¯¥¹·Ï¹©³ØÀì¹¶), »³ÅÄ ¹¸µ×(¥·¥ã¡¼¥×³ô¼°²ñ¼Ò ÅŻҥǥХ¤¥¹³«È¯ËÜÉô Àèüµ»½Ñ³«È¯¸¦µæ½ê) |
| Page | pp. 685 - 690 |
| Keyword | C¸À¸ìÀß·×, ¥¢¡¼¥¥Æ¥¯¥Á¥ã, BACH¥·¥¹¥Æ¥à, γ»ÒÄÉÀ×, ¥Æ¥ó¥×¥ì¡¼¥È¥Þ¥Ã¥Á¥ó¥° |
| Abstract | ǯ¡¹¡¢Ê£»¨²½¡¦Â¿µ¡Ç½²½¤¬¿Ê¤à¥·¥¹¥Æ¥àLSIÀ߷פǤϡ¢Â絬ÌϲóÏ©¤ÎÀ߷׸úΨ²½¤Î¤¿¤á¤Ë¡¢C¸À¸ìÀ߷פ¬ÃíÌܤµ¤ì¤Æ¤¤¤ë¡£C¸À¸ìÀß·×¤ÎÆÃħ¤Î°ì¤Ä¤Ï¡¢Â¿Íͤʥ¢¡¼¥¥Æ¥¯¥Á¥ã¤òû´ü´Ö¤ËÀ߷ס¦É¾²Á½ÐÍè¤ëÅÀ¤Ë¤¢¤ë¡£ËÜʸ¤Ç¤Ï¡¢C¸À¸ì¤òÍѤ¤¤¿¡¢¥Ç¡¼¥¿¥¢¥¯¥»¥¹¡¢ÊÂÎ󲽡¢¥â¥¸¥å¡¼¥ë¹½À®¤ÎÊѹ¹¡¢ÀìÍѱ黻²óÏ©²½¤Ê¤É¤Ë¤è¤ë¥¢¡¼¥¥Æ¥¯¥Á¥ãºÇŬ²½Ë¡¤òÄ󰯤¹¤ë¡£¤Þ¤¿¡¢ËܼêË¡¤ò¥Æ¥ó¥×¥ì¡¼¥È¥Þ¥Ã¥Á¥ó¥°Ë¡¤Ë¤è¤ëγ»ÒÄÉÀ×µ»½Ñ¤ËŬÍѤ·¡¢¤½¤Î¸ú²Ì¤ò³Îǧ¤¹¤ë¡£ |
| Âê̾ | 45-65nm¥Î¡¼¥É¤Ë¤ª¤±¤ëÃÙ±ä¤Ð¤é¤Ä¤ÆÃÀ¤Î´Ä¶²¹Åٰ͸À |
| Ãø¼Ô | *ÃæÎÓ ÂÀÈþÀ¤(¥·¥ã¡¼¥×), ¹õÀî ÆØ(»°ÍÎȾƳÂÎ), º´Æ£ ¹â»Ë(Åìµþ¹©¶ÈÂç³Ø), ¶¶ËÜ ¾»µ¹(ÂçºåÂç³Ø), ÁýÅÄ ¹°À¸(¥ë¥Í¥µ¥¹¥Æ¥¯¥Î¥í¥¸ ) |
| Page | pp. 691 - 696 |
| Keyword | ¤Ð¤é¤Ä¤, ²¹Åٰ͸À, DFM, ÇÛÀþÃÙ±ä |
| Abstract | ËܹƤǤϡ¢¤Ð¤é¤Ä¤¤Î²¹Åٰ͸À¤Ë¤Ä¤¤¤ÆµÄÏÀ¤¹¤ë¡£¤Þ¤ºÁÇ»ÒÆÃÀ¤Ð¤é¤Ä¤¤È¤·¤Æ¡¢MOSÅÅήÆÃÀ¡¢CuÇÛÀþÄñ¹³¤ÎÁêÂФФé¤Ä¤¤¬Äã²¹¤Ç¥ï¡¼¥¹¥È(ºÇÂç)¤È¤Ê¤ë¤³¤È¤ò¼¨¤¹¡£¤µ¤é¤Ë¡¢ÁǻҤФé¤Ä¤¤Î²óÏ©ÆÃÀ¤Ð¤é¤Ä¤¤Ø¤Î±Æ¶Á¤Ë¤Ä¤¤¤ÆÉ¾²Á¤¹¤ë¤¿¤á¡¢ÇÛÀþÃÙ±ä¤Ð¤é¤Ä¤¤Î²¹ÅÙÆÃÀ¤ò²òÀϤ·¤¿¡£ÌµÉé²Ù¤Î¥»¥ëÃÙ±ä¤Ç¤Ï¥È¥é¥ó¥¸¥¹¥¿¤Î¤Ð¤é¤Ä¤¤Î²¹ÅÙÆÃÀ¸ú²Ì¤¬»ÙÇÛŪ¤Ç¤¢¤ë¤¬¡¢Ä¹ÇÛÀþ¤Î¥»¥ë´Ö¥É¥é¥¤¥ÐÆÃÀ¤Ç¤ÏÇÛÀþÄñ¹³¤Ð¤é¤Ä¤¤¬Äã²¹¤Ë¤ª¤¤¤ÆÆÃ¤Ë¸²Ãø¤Ë¤Ê¤ë¤³¤È¤ò¼¨¤·¡¢¤³¤Î·¹¸þ¤Ï¥×¥í¥»¥¹¤¬ÈùºÙ¤Ë¤Ê¤ë¤Ë½¾¤Ã¤ÆÁýÂ礹¤ë¤³¤È¤òÌÀ¤é¤«¤Ë¤·¤¿¡£Â¨¤Á¡¢º£¸å¤ÎLSIÀ߷פˤª¤¤¤Æ¡¢Äã²¹¤Ç¤Î¤Ð¤é¤Ä¤¥Þ¡¼¥¸¥ó¤Î¹Í»¡¡¢MOSÅÅή¤Ð¤é¤Ä¤¤À¤±¤Ç¤Ê¤¯ÇÛÀþÄñ¹³¤Ð¤é¤Ä¤¤Î¹Íθ¤¬É¬¿Ü¤Ë¤Ê¤Ã¤Æ¤¯¤ë¤³¤È¤òÌÀ¤é¤«¤Ë¤·¤¿¡£ |
| Âê̾ | ¥é¥ó¥À¥à¶ÊÌÌ¥â¥Ç¥ë¤Ë¤è¤ë¶õ´ÖÁê´Ø¤Îɽ¸½¤ÈLSIÀ߷פؤαþÍÑ |
| Ãø¼Ô | *ÂçÀî âðì, ÁýÅÄ ¹°À¸(¥ë¥Í¥µ¥¹¥Æ¥¯¥Î¥í¥¸ ¥Ç¥Ð¥¤¥¹IP³«È¯Éô) |
| Page | pp. 697 - 702 |
| Keyword | LSIÀß·×, ¤Ð¤é¤Ä¤, ¥·¥¹¥Æ¥àÀ®Ê¬, ¥é¥ó¥À¥à¶ÊÌÌ¥â¥Ç¥ë |
| Abstract | ¡¡²æ¡¹¤ÏÀè¤Î¸¦µæ¤Ë¤ª¤¤¤Æ¥é¥ó¥À¥à¶ÊÌÌ¥â¥Ç¥ë¤È¤¤¤¦¿·¤·¤¤³µÇ°¤òÄ󾧤·¤¿¡£ÊÑ¿ô¤Î¤Ð¤é¤Ä¤¤ÎÂåɽ¤¬¥¬¥¦¥¹Ê¬ÉۤǤ¢¤ë¤è¤¦¤Ë¡¢¶ÊÌ̤Υé¥ó¥À¥à¤ÊÊѲ½¤ò¥é¥ó¥À¥à¶ÊÌÌ¥â¥Ç¥ë¤Çɽ¸½¤¹¤ë¡£¤³¤Î°·¤¤¤Ï¡¢LSI¥Á¥Ã¥×Æâ¤Ð¤é¤Ä¤¤Î¥é¥ó¥À¥àÀ®Ê¬¤È¥·¥¹¥Æ¥àÀ®Ê¬¤ËÁêÅö¤¹¤ë¡£ ¡¡º£¤Þ¤Ç¡¢¥·¥¹¥Æ¥àÀ®Ê¬¤Î͸ú¤Êɽ¸½¼êÃʤ¬¸«¤¢¤¿¤é¤Ê¤«¤Ã¤¿¡£µ÷Î¥¤Ë°Í¸¤¹¤ëÁê´Ø·¸¿ô¤È¤¤¤¦É½¸½¼êÃʤϤ¢¤Ã¤¿¤¬¡¢·×»»¤Î¸úΨ¡¢°ÂÄêÀ¤ËÌäÂ꤬¤¢¤Ã¤¿¡£°ìÄê¤Î¹©ÉפǸúΨ¤ò¾å¤²¤¿Î㤬ʸ¸¥¤Ë¼¨¤µ¤ì¤Æ¤¤¤ë¤¬¡¢¥Ç¡¼¥¿¤ÎÉÔϢ³¤Ê°·¤¤¤ËÌäÂ꤬¤¢¤Ã¤¿¡£ ËÜÄó°Æ¤Î¥é¥ó¥À¥à¶ÊÌÌ¥â¥Ç¥ë¤Ï¡¢¤³¤Î¤è¤¦¤ÊÌäÂêÅÀ¤ò¥¯¥ê¥¢¤·¡¢¸ú²ÌŪ¡¢¸úΨŪ¤Ê²ò¤òÄ󶡤¹¤ë¡£LSI¤Î¤Ð¤é¤Ä¤Àß·×¤Ç¤ÎÆñÂê(¥·¥¹¥Æ¥àÀ®Ê¬¹Íθ)¤ò¸«»ö¤Ë²ò·è¤Ç¤¤ë¡£ |
| Âê̾ | Åý·×Ū¥Ñ¥¹ÃÙ±ä²òÀϤΤ¿¤á¤ÎMonte Carlo STA¼Â¹Ô¿ôɾ²Á¤Î°ì¼êË¡ |
| Ãø¼Ô | *º£°æ Àµµª(Åìµþ¹©¶ÈÂç³Ø Âç³Ø±¡Áí¹çÍý¹©³Ø¸¦µæ²Ê/ȾƳÂÎÍý¹©³Ø¸¦µæ¥»¥ó¥¿¡¼), º´Æ£ ¹â»Ë(Åìµþ¹©¶ÈÂç³Ø Åý¹ç¸¦µæ±¡), Ãæ»³ ÈÏÌÀ(Åìµþ¹©¶ÈÂç³Ø Âç³Ø±¡Áí¹çÍý¹©³Ø¸¦µæ²Ê¡¢È¾Æ³ÂÎÍý¹©³Ø¸¦µæ¥»¥ó¥¿¡¼), ±× °ìºÈ(Åìµþ¹©¶ÈÂç³Ø Åý¹ç¸¦µæ±¡) |
| Page | pp. 703 - 708 |
| Keyword | STA, SSTA, timing, variation, Monte Carlo |
| Abstract | SoC Åù¤ÎÀ߷פò¹Ô¤¦¾ì¹ç¤Ë¥Ñ¥é¥á¡¼¥¿¤òÅý·×Ū¤Ë°·¤¦¤³¤È¤¬½ÅÍפˤʤäƤ¤Æ¤¤¤ë. ÆÃ¤Ë, ¥¿¥¤¥ß¥ó¥°À߷פǤÏÃٱ䤬¤½¤Î¥Ñ¥é¥á¡¼¥¿¤Ç¤¢¤ê, ÃÙ±ä¤ÎÅý·×ŪºÇÂçÃͺǾ®Ãͤ˴ؿ´¤¬¤¢¤ë. ¤½¤³¤ÇËÜÏÀʸ¤Ç¤Ï,¤¢¤ë´ð½à¤ÇÁª¤ó¤ÀÅý·×ŪºÇÂçºÇ¾®ÃÙ±äÃͤDzóÏ©¤Î¥¿¥¤¥ß¥ó¥°²òÀϤò¹Ô¤Ê¤¦¤³¤È¤Ë¤è¤ê, ¤¢¤ë³ÎΨ¤Ç¥¿¥¤¥ß¥ó¥°°ãÈ¿¤¬¤Ê¤¤¤ÈȽÃǤ¹¤ë¤Î¤ËɬÍפÊMonte Carlo STA¤Î¼Â¹Ô²ó¿ô¤Î²¼¸Â¤ò»öÁ°¤Ëɾ²Á¤¹¤ë¼êË¡¤òÄ󰯤¹¤ë. ¼Â¾Ú¤Î¤¿¤á¤Ë ISCAS ¤½¤Î¾¤Î¥Ç¡¼¥¿¤ËŬÍѤ·, Ä󰯤¹¤ëɾ²Á¼êË¡¤¬Í¸ú¤Ç¤¢¤ë¤³¤È¤ò³Î¤«¤á¤¿. |
| Âê̾ | Åý·×ŪSTA¤Ç¤Î¥¹¥ë¡¼°Í¸À¤ò¹Íθ¤·¤¿ÃÙ±ä¤Ð¤é¤Ä¤·×»»¼êË¡¤ÎÄó°Æ |
| Ãø¼Ô | *¹âÆ£ ¹À»ñ((³ô)¥ê¥³¡¼ ÅŻҥǥХ¤¥¹¥«¥ó¥Ñ¥Ë¡¼), ¾®ÎÓ ¹¨¹Ô(ÆüËÜ¥·¥Î¥×¥·¥¹(³ô) µ»½ÑËÜÉô), ¾®Ìî ¿®Ç¤((³ô)¥¸¡¼¥À¥Ã¥È¡¦¥¤¥Î¥Ù¡¼¥·¥ç¥ó EDA¸¦µæ³«È¯Éô), ÁýÅÄ ¹°À¸((³ô)¥ë¥Í¥µ¥¹¥Æ¥¯¥Î¥í¥¸ SOCÀß·×Åý³çÉô), ÃæÅç ±ÑÀÆ(NEC¥¨¥ì¥¯¥È¥í¥Ë¥¯¥¹(³ô) ´ðÈĵ»½Ñ³«È¯»ö¶ÈËÜÉô), ±ü¼ δ¾»(ÉÙ»ÎÄÌVLSI(³ô) ¥Æ¥¯¥Î¥í¥¸³«È¯Åý³çÉô), ¶¶ËÜ ¾»µ¹(ÂçºåÂç³Ø ¾ðÊó²Ê³Ø¸¦µæ²Ê¾ðÊó¥·¥¹¥Æ¥à¹©³ØÀì¹¶), º´Æ£ ¹â»Ë(Åìµþ¹©¶ÈÂç³Ø Åý¹ç¸¦µæ±¡¥½¥ê¥å¡¼¥·¥ç¥ó¸¦µæµ¡¹½) |
| Page | pp. 709 - 714 |
| Keyword | ¤Ð¤é¤Ä¤, STA, ÃÙ±ä, ¥¹¥ë¡¼ |
| Abstract | Åý·×ŪSTA ¤Ë¤ª¤¤¤Æ¥é¥ó¥À¥àÃÙ±ä¤Ð¤é¤Ä¤²òÀϤÎÀºÅÙ¤ò¸þ¾å¤¹¤ë·×»»¼êË¡¤ò¸¡Æ¤¤·¤¿¡£·×»»¼êË¡¤Î¼çÍפÊÅÀ¤Ï¡¢¥¹¥ë¡¼»þ´Ö¤Ð¤é¤Ä¤¤òÃÙ±ä¤Ð¤é¤Ä¤²òÀϤÎÍ×ÁǤȤ·¤Æ¼è¤êÆþ¤ì¤¿¤³¤È¤Ç¤¢¤ë¡£¤³¤ÎÄ󰯼êË¡¤Ç¡¢ÃÙ±ä¤Ð¤é¤Ä¤²òÀÏ¸íº¹¤¬Ä㸺¤Ç¤¤ë¤³¤È¤ò¡¢¥â¥ó¥Æ¥«¥ë¥í²òÀϤθ¡¾Ú¤ÇÌÀ¤é¤«¤Ë¤·¤¿¡£ |
| Âê̾ | (¾·ÂÔ)Äê¿ô¥é¥¦¥ó¥É¤ÎŬ±þŪʬ»¶¸Î¾ã¿ÇÃǼêË¡¤Ë¤Ä¤¤¤Æ |
| Ãø¼Ô | *Æ£ÅÄ Áï(¹ÅçÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê¾ðÊ󹩳ØÀì¹¶) |
| Page | pp. 715 - 720 |
| Keyword | PMC¥â¥Ç¥ë, Ŭ±þŪ¸Î¾ã¿ÇÃÇ, ´°Á´¥°¥é¥Õ |
| Abstract | ËܹƤǤϡ¢PMC¥â¥Ç¥ë¤Ë´Ø¤¹¤ë¸¦µæ¤ÎÃæ¤Ç¤âÆÃ¤Ë¡¢Nakajima¤Ë¤è¤Ã¤ÆÄ󰯤µ¤ì¤¿Å¬±þŪ¤Ê¸Î¾ã¿ÇÃǼêË¡¤Î³µÀâ¤ò¹Ô¤¦¡£°Ê²¼¤Ç¤Ï¡¢Å¬±þŪ¤Ê¥â¥Ç¥ë¤Î¤â¤È¤Ç¸Î¾ã¥æ¥Ë¥Ã¥È¤òÀµ¤·¤¯ÆÃÄꤹ¤ë¤¿¤á¤ËɬÍפʥ饦¥ó¥É¿ô¤Î¾å²¼¸Â¤Ë¤Ä¤¤¤Æ¡¢¤³¤ì¤Þ¤Ç¤Ë¤ï¤«¤Ã¤Æ¤¤¤ë¤ª¤â¤Ê·ë²Ì¤È¤½¤³¤ÇÍѤ¤¤é¤ì¤Æ¤¤¤ë´ðËÜŪ¤Ê¥¢¥¤¥Ç¥¢¤È¤ò¤Ç¤¤ë¤À¤±¤ï¤«¤ê¤ä¤¹¤¯Ðíâפ·¤Æ¤¤¤¯¡£ |
| Âê̾ | (¾·ÂÔ)ÀµÂ§¤Ê¥°¥é¥Õ¤ÎŬ±þ·¿¸Î¾ã¿ÇÃÇ |
| Ãø¼Ô | *¹ÓÌÚ Å° (´ä¼êÂç³Ø¹©³ØÉô¾ðÊó¥·¥¹¥Æ¥à¹©³Ø²Ê) |
| Page | pp. 721 - 725 |
| Keyword | ¥·¥¹¥Æ¥à¥ì¥Ù¥ë¸Î¾ã¿ÇÃÇ, PMC¥â¥Ç¥ë, Ŭ±þ·¿¸Î¾ã¿ÇÃÇ, Áê¸ß·ë¹çÌÖ |
| Abstract | ¥·¥¹¥Æ¥à¥ì¥Ù¥ë¤Î¸Î¾ã¿ÇÃǤȤϡ¤Ê¬»¶¥·¥¹¥Æ¥àÆâ¤Î³Æ¥æ¥Ë¥Ã¥È¤¬¸ß¤¤¤Î¾õÂÖ¤ò¸¡ºº¤·¤¢¤¦¤³¤È¤Ç¡¤¥·¥¹¥Æ¥àÆâ¤Ë¸ºß¤¹¤ë¸Î¾ã¥æ¥Ë¥Ã¥È¤ò¼«Î§Åª¤Ë¸¡½Ð¤¹¤ëÌäÂê¤Ç¤¢¤ë¡¥¤³¤ÎÌäÂê¤Î´ðËÜŪ¤Ê¥â¥Ç¥ë¤È¤·¤Æ¡¤1967ǯ¤ËPreparata,Metze, Chien¤Ë¤è¤Ã¤ÆÄ󰯤µ¤ì¤¿PMC¥â¥Ç¥ë¤¬ÃΤé¤ì¤Æ¤¤¤ë¡¥¤½¤Î¸å¡¤¤³¤ÎÌäÂê¤ËÂФ¹¤ë¿¤¯¤Î·ë²Ì¤¬ÆÀ¤é¤ì¤Æ¤¤¤ë¡¥ËÜÏÀʸ¤Ç¤Ï¡¤¤½¤ÎÃæ¤«¤é¶áǯÃíÌܤµ¤ì¤Æ¤¤¤ëŬ±þ·¿¿ÇÃǤˤĤ¤¤Æ³µ´Ñ¤¹¤ë¡¥ |
| Âê̾ | (¾·ÂÔ)¥Þ¥ë¥Á¥×¥í¥»¥Ã¥µ¥·¥¹¥Æ¥à¤ÎÃ༡¸Î¾ã¿ÇÃǤˤĤ¤¤Æ |
| Ãø¼Ô | *»³ÅÄ ÉÒµ¬(ºë¶ÌÂç³Ø Âç³Ø±¡Íý¹©³Ø¸¦µæ²Ê ¿ôÍýÅŻҾðÊóÉôÌç) |
| Page | pp. 727 - 732 |
| Keyword | ¥Þ¥ë¥Á¥×¥í¥»¥Ã¥µ¥·¥¹¥Æ¥à, ¥·¥¹¥Æ¥à¥ì¥Ù¥ë¸Î¾ã¿ÇÃÇ, PMC¥â¥Ç¥ë, Ã༡¸Î¾ã¿ÇÃÇ |
| Abstract | ¥Þ¥ë¥Á¥×¥í¥»¥Ã¥µ¥·¥¹¥Æ¥à¤Î¥·¥¹¥Æ¥à¥ì¥Ù¥ë¸Î¾ã¿ÇÃǤΤ¿¤á¤Î¥°¥é¥ÕÍýÏÀŪ¤ÊÏÈÁȤÏPreparata¤é¤Ë¤è¤Ã¤ÆÄ󰯤µ¤ì¡¤PMC¥â¥Ç¥ë¤È¤·¤Æ¹¤¯ÃΤé¤ì¤Æ¤¤¤ë¡¥PMC¥â¥Ç¥ë¤Ë¤ª¤±¤ë¸Î¾ã¿ÇÃǤϡ¤¸¡ºº·ë²Ì¤«¤éÁ´¤Æ¤Î¸Î¾ã¥×¥í¥»¥Ã¥µ¤òƱÄꤹ¤ëƱ»þ¸Î¾ã¿ÇÃǤȾ¯¤Ê¤¯¤È¤â°ì¤Ä¤Î¸Î¾ã¥×¥í¥»¥Ã¥µ¤òƱÄꤹ¤ëÃ༡¸Î¾ã¿ÇÃÇ¤ÎÆó¤Ä¤ËʬÎव¤ì¤ë¡¥ËܹƤǤϡ¤Ã༡¸Î¾ã¿ÇÃǤ˴ؤ·¤Æ¤³¤ì¤Þ¤Ç¤ËÃΤé¤ì¤Æ¤¤¤ë·ë²Ì¤ò¡¤¤½¤Î¾ÚÌÀµ»Ë¡¤È¤È¤â¤Ë¾Ò²ð¤¹¤ë¡¥ |
| Âê̾ | (¾·ÂÔ)À¸Ì¿¥Ñ¥¹¥¦¥§¥¤¤Î¥·¥¹¥Æ¥àŪÍý²ò¤Ë¸þ¤±¤¿¥Ú¥È¥ê¥Í¥Ã¥Èɽ¸½¤È±þÍÑ |
| Ãø¼Ô | *¾¾Ìî ¹À»Ì (»³¸ýÂç³ØÂç³Ø±¡Íý¹©³Ø¸¦µæ²Ê) |
| Page | pp. 733 - 738 |
| Keyword | ¥·¥¹¥Æ¥àÀ¸Êª³Ø, ¥Ú¥È¥ê¥Í¥Ã¥È, À¸Ì¿¥Ñ¥¹¥¦¥§¥¤ |
| Abstract | ºÇ¶á¤Ç¤Ï¡¢¥Ú¥È¥ê¥Í¥Ã¥È¤ÏÀ¸Ì¿¥Ñ¥¹¥¦¥§¥¤¤Î¥â¥Ç¥ë²½¼êË¡¤È¤·¤Æ¾ðÊó²Ê³Ø¼Ô¤À¤±¤Ç¤Ê¤¯¡¢À¸Êª²Ê³Ø¼Ô¤Ë¤â¹¤¯¼õ¤±Æþ¤ì¤é¤ì¤Æ¤¤¤ë¡£ËܹƤǤϡ¢¥Ú¥È¥ê¥Í¥Ã¥È¤Ë¤è¤ëÀ¸Ì¿¥Ñ¥¹¥¦¥§¥¤µ½Ò¤Î¸¦µæ¤ò³µ´Ñ¤·¡¢À¸Ì¿¥Ñ¥¹¥¦¥§¥¤¤ò¥·¥¹¥Æ¥à¤È¤·¤ÆÍý²ò¤¹¤ë¤¿¤á¤Î¥â¥Ç¥ë²½¤È¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Î±þÍѤˤĤ¤¤Æ½Ò¤Ù¤ë¡£¤µ¤é¤Ë¡¢ºîÀ®¤·¤¿¥Ú¥È¥ê¥Í¥Ã¥È¤Ë¤è¤ëÀ¸Ì¿¥Ñ¥¹¥¦¥§¥¤¤ò¸ø³«¤¹¤ë¤¿¤á¤Ë¹½ÃÛ¤·¤¿¥¦¥§¥Ö¥µ¥¤¥È¤Ç¤¢¤ëPetri Net Pathways¤Ë¤Ä¤¤¤Æ¾Ò²ð¤¹¤ë¡£ |
| Âê̾ | Estimation of Gene Regulation Using Expression Profiles by Gene Disruption and Comprehensive Sequence Analysis on Gene Regulatory Regions |
| Ãø¼Ô | *Ê¿ÀРˮɧ(ËÌΦÀèü²Ê³Øµ»½ÑÂç³Ø±¡Âç³Ø ¾ðÊó²Ê³Ø¸¦µæ²Ê), ÅÚµï ÍÎʸ(¥»¥ì¥¹¥¿¡¼¡¦¥ì¥¥·¥³¡¦¥µ¥¤¥¨¥ó¥·¥º(³ô)) |
| Page | pp. 739 - 744 |
| Keyword | °äÅÁ»Òȯ¸½, °äÅÁ»ÒÀ©¸æ¥Í¥Ã¥È¥ï¡¼¥¯ |
| Abstract | °äÅÁ»Òȯ¸½¤Ë´Ø¤¹¤ëÀ©¸æ¥Í¥Ã¥È¥ï¡¼¥¯¤ò¿äÄꤹ¤ë¤¿¤á¤Î¼êË¡¤òÄ󰯤¹¤ë¡¥¼êË¡¤ÏÇ˲õ³ô¤Ë¤è¤ë°äÅÁ»Òȯ¸½¥×¥í¥Õ¥¡¥¤¥ë¤È°äÅÁ»ÒÀ©¸æÎΰè¤ÎÌÖÍåŪ¤Êʸ»úÎó²òÀϤòÁȤ߹ç¤ï¤»¤¿¤â¤Î¤Ç¤¢¤ê¡¤£³¤Ä¤ÎÆÈΩ¤Ê¾ðÊ󸻤Ǥ¢¤ë (i) °äÅÁ»Òȯ¸½¥×¥í¥Õ¥¡¥¤¥ë¤ÎÁê´Ø·¸¿ô¡¤(ii) ÆÃÄê¤Î°äÅÁ»Ò¤òÇ˲õ¤·¤¿¸ÇÂΤˤª¤±¤ëȯ¸½¶¯ÅÙ¤ÎÊѲ½¡¤(iii) °äÅÁ»ÒÀ©¸æÎΰè¤Ë¤ª¤±¤ëŤµ20¡Á30ÄøÅÙ¤ÎÉôʬÎΰè¡Ê¥¦¥¤¥ó¥É¥¦¡Ë¤ÎÎà»÷À¡¤¤òÍѤ¤¤ë¡¥ÆÃ¤Ë¡¤(iii)¤ÏÀ©¸æÎΰè¤Ë¶¦Ä̤Υâ¥Á¡¼¥Õ¤ò¤â¤Ä°äÅÁ»Ò·²¤òµá¤á¤ë¤³¤È¤òÌÜŪ¤È¤·¤¿¤â¤Î¤Ç¤¢¤ê¡¤ÆÃÄê¤ÎÀ©¸æ°ø»Ò¤Ë¤è¤ëľÀÜŪÀ©¸æ¤Î¾Úµò¤È¤Ê¤ë¡¥¼êË¡¤Ç¤Ï¥¦¥¤¥ó¥É¥¦Îà»÷ÅÙ¤ò¿¿ô¤Î°äÅÁ»Ò´Ö¤ÇÌÖÍåŪ¤Ë·×»»¤¹¤ë¡¥ |
| Âê̾ | ÆÌÊñ¤òÍѤ¤¤¿Àïά·¿2¿Í¥²¡¼¥à¤Î¥Ê¥Ã¥·¥å¶Ñ¹ÕÅÀ¤òµá¤á¤ë¥¢¥ë¥´¥ê¥º¥à |
| Ãø¼Ô | ÀÐ°æ ¹¨¹¬, *»³ÅÄ ÉÒµ¬(ºë¶ÌÂç³Ø Âç³Ø±¡Íý¹©³Ø¸¦µæ²Ê ¿ôÍýÅŻҾðÊóÉôÌç) |
| Page | pp. 745 - 750 |
| Keyword | Àïά·¿2¿ÍÈó¶¨ÎÏ¥²¡¼¥à, ÁйÔÎ󥲡¼¥à, ¥Ê¥Ã¥·¥å¶Ñ¹ÕÅÀ, ÆÌÊñ, ¿¹à¼°»þ´Ö¥¢¥ë¥´¥ê¥º¥à |
| Abstract | Àïά·¿N¿ÍÈó¶¨ÎÏ¥²¡¼¥à¤Î¥Ê¥Ã¥·¥å¶Ñ¹ÕÅÀ¤Ï¾ï¤Ë¸ºß¤¹¤ë¤³¤È¤¬ÃΤé¤ì¤Æ¤¤¤ë¡¥ ¤·¤«¤·¤Ê¤¬¤é¡¤N=2¤Î¤È¤¤Ç¤µ¤¨¡¤ ¥Ê¥Ã¥·¥å¶Ñ¹ÕÅÀ¤ò¿¹à¼°»þ´Ö¤Çµá¤á¤ë¤³¤È¤Ï̤²ò·è¤Ç¤¢¤ë¡¥ ¾®Ê¸¤Ç¤Ï¡¤¥æ¡¼¥¯¥ê¥Ã¥É¶õ´Ö¤Ë¤ª¤±¤ëÆÌÊñ¤òµá¤á¤ë¥¢¥ë¥´¥ê¥º¥àÍøÍѤ·¤¿ Àïά·¿2¿ÍÈó¶¨ÎÏ¥²¡¼¥à¤Î¥Ê¥Ã¥·¥å¶Ñ¹ÕÅÀ¤òµá¤á¤ë¥¢¥ë¥´¥ê¥º¥à¤òÄ󰯤¹¤ë¡¥ Äó°Æ¥¢¥ë¥´¥ê¥º¥à¤Î»þ´Ö·×»»Î̤ϡ¤ °ìÊý¤Î¥×¥ì¥¤¥ä¡¼¤Î¹Ôư¤Î¼ïÎबÄê¿ô¤Ç¤¢¤ë¤È¤¤Ë¤Ï¿¹à¼°»þ´Ö¤Ç¤¢¤ë¡¥ |
| Âê̾ | ½Å¤ßÁý²Ã¥Ñ¥¹Ãµº÷²þÎɤˤè¤ë¥°¥é¥ÕºÇÂç½Å¤ß¥Þ¥Ã¥Á¥ó¥°¶á»÷²òË¡¤ÎÀǽ¶¯²½ |
| Ãø¼Ô | *À¾²Ï ¶³ÎÑ, ¹âÆ£ Âç²ð, ÅIJ¬ ÃÒ»Ö, ÅÏîµ ÉÒÀµ(¹ÅçÂç³ØÂç³Ø±¡¹©³Ø¸¦µæ²Ê) |
| Page | pp. 751 - 756 |
| Keyword | ¥°¥é¥ÕºÇÂç½Å¤ß¥Þ¥Ã¥Á¥ó¥°, ¶á»÷²òË¡, ½Å¤ßÁý²Ã¥Ñ¥¹ |
| Abstract | ¥°¥é¥ÕºÇÂç½Å¤ß¥Þ¥Ã¥Á¥ó¥°ÌäÂê¤È¤Ï¡¤ÊսŤߤò»ý¤Ä¥°¥é¥ÕG=(V,E)¤Ë¤ª¤¤¤Æ½Å¤ßÁíϺÇÂç¤Î¥Þ¥Ã¥Á¥ó¥°¤òµá¤á¤ëÌäÂê¤Ç¤¢¤ë¡¥¥Þ¥Ã¥Á¥ó¥°M¤È¤Ï¡¤¤É¤ÎÊÕ¤â¸ß¤¤¤ËüÅÀ¤ò¶¦Í¤·¤Ê¤¤ÊÕ½¸¹ç¤Ç¤¢¤ë¡¥ºÇÂç½Å¤ß¥Þ¥Ã¥Á¥ó¥°¤ÎºÇŬ²ò¤òµá¤á¤ë¿¹à¼°»þ´Ö²òË¡¤¬¤¤¤¯¤Ä¤«Ä󰯤µ¤ì¤Æ¤¤¤ë¤¬¡¤¥°¥é¥Õ¥µ¥¤¥º¤¬Â礤¯¤Ê¤ë¤ÈºÇŬ²ò¤òÆÀ¤ë¤Ë¤Ï¶Ëü¤Ë¿¤¯¤Î·×»»»þ´Ö¤òɬÍפȤ¹¤ë¡¥ ¤½¤³¤Ç¡¤¼ÂÍÑÀ¤ò¹Íθ¤·¤Æ¹â®¤Ê¶á»÷²òË¡¤¬¤¤¤¯¤Ä¤«Ä󰯤µ¤ì¤Æ¤¤¤ë¡¥¤½¤ÎÃæ¤Ç¤â½Å¤ßÁý²Ã¥Ñ¥¹¤òÍøÍѤ·¤¿¼êË¡¤Ï¡¤¼Â¸³Åª¤Ë¶á»÷²òË¡¤Ç¤Ï²òÀºÅÙ¤¬¤è¤¤¤È¤¤¤¦·ë²Ì¤¬ÆÀ¤é¤ì¤Æ¤¤¤ë¡¥ ËܹƤǤϡ¤½Å¤ßÁý²Ã¥Ñ¥¹Ãµº÷¤òÍøÍѤ·¤¿¶á»÷²òË¡¤ËÃåÌܤ·¡¤¤½¤ì¤ò²þÎɤ·¤¿¼êË¡¤ò¤¤¤¯¤Ä¤«Ä󰯤·¡¤·×»»µ¡¼Â¸³¤Ë¤è¤ê¤½¤ÎÀǽ¤ò¼¨¤¹¡¥ |