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Ãø¼Ô | ¡ûÃæÀî ¶©¹° (Ĺ²¬µ»½Ñ²Ê³ØÂç³Ø ¹©³ØÉô) |
¥Ú¡¼¥¸ | pp. 17 - 22 |
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¥Ú¡¼¥¸ | pp. 23 - 28 |
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¥Ú¡¼¥¸ | pp. 29 - 34 |
¥¡¼¥ï¡¼¥É | À¼Æ»ÃÇÌÌÀÑ, °ì¼¡¸µ²»¶Á´É¥â¥Ç¥ë, Íü¾õãÝ |
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¥Ú¡¼¥¸ | pp. 41 - 46 |
¥¡¼¥ï¡¼¥É | ¥é¥¤¥È¥Õ¥£¡¼¥ë¥É, ¥Ç¥Î¥¤¥¸¥ó¥°, Tuckerʬ²ò, ¥â¡¼¥ÉŸ³«, ÈóÆ̺ÇŬ²½ |
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¥Ú¡¼¥¸ | pp. 47 - 52 |
¥¡¼¥ï¡¼¥É | ¶á»÷Ʊ»þÂгѲ½ÌäÂê, ¥Ö¥é¥¤¥ó¥É¿®¹æʬΥ |
¥¢¥Ö¥¹¥È¥é¥¯¥È | ALSP¥¢¥ë¥´¥ê¥º¥à¤Ç¤Ï¡¤ºÇ¾®2¾èË¡¤òÍѤ¤¤ÆDLS ɾ²ÁÎ̤òºÇ¾®¤¹¤ëÂгѲ½¹ÔÎóB¤òµá¤á¡¤À©Ìó¾ò·ï¤ò¼ÌÁü¤Ë¤è¤Ã¤Æ²Ý¤·¤Æ¤¤¤ë¡¥ALSP¥¢¥ë¥´¥ê¥º¥à¤ÎÆÃħ¤ÏKhatri-Rao (KR) ÀѤòÍøÍѤ¹¤ë¤È¡¤»ö¼Â¾å¡¤ÂгѲ½¹ÔÎóB ¤Ë´Ø¤·¤ÆDLS ɾ²ÁÎ̤ò2 ¼¡·Á¼°¤Çɽ¸½¤Ç¤¡¤´û¸¤ÎºÇ¾®²½¼êË¡¤¬ÍøÍѤǤ¤ë¤³¤È¤Ç¤¢¤ë¤¬¡¤¼ý«À¤¬°¤¤¤³¤È¤¬»ØŦ¤µ¤ì¤Æ¤¤¤ë¡¥ËÜÏÀʸ¤Ç¤Ï¡¤ALSP ¥¢¥ë¥´¥ê¥º¥à¤ÎÍøÅÀ¤òÀ¸¤«¤·¡¤·çÅÀ¤ò¹îÉþ¤¹¤ëÊýË¡¤òÄó°Æ¤·¡¤¥Ö¥é¥¤¥ó¥É¿®¹æ¸»Ê¬Î¥¤Ë±þÍѤ¹¤ë¡¥ |
Âê̾ | Approximate-Then-Diagonalize-Simultaneously Algorithm and Tensor CP Decomposition |
Ãø¼Ô | ¡ýÌÀ´Ö Φ, »³´ß ¾»É×, »³ÅÄ ¸ù (Åìµþ¹©¶ÈÂç³Ø) |
¥Ú¡¼¥¸ | pp. 53 - 58 |
¥¡¼¥ï¡¼¥É | Canonical Polyadic (CP) decomposition, Approximate simultaneous diagonalization, Structured low-rank approximation, Alternating projection |
¥¢¥Ö¥¹¥È¥é¥¯¥È | In this paper, we present a novel two-step strategy, called Approximate-Then-Diagonalize-Simultaneously (ATDS) algorithm, for Approximate Simultaneous Diagonalization (ASD). The ATDS algorithm decomposes the ASD of a given tuple of matrices into (Step 1) finding a tuple of simultaneously diagonalizable matrices close to the given one and (Step 2) finding a common similarity transformation which diagonalizes exactly the tuple obtained in Step 1. We also propose to apply the ATDS algorithm to Canonical Polyadic (CP) decomposition of a higher-order tensor with its reasonable translation into ASD. Numerical experiments show that the proposed approach for CP decomposition outperforms existing methods especially in the ill-conditioned cases. |
Âê̾ | (¾·ÂÔ¹Ö±é) °åÍѲèÁü¿ÇÃǤˤª¤±¤ëºÇ¶á¤ÎAI/¥Ç¥£¡¼¥×¥é¡¼¥Ë¥ó¥°¤ÎÏÃÂê |
Ãø¼Ô | ¡ûÆ£ÅÄ ¹»Ö (´ôÉìÂç³Ø ¹©³ØÉô) |
¥Ú¡¼¥¸ | pp. 59 - 61 |
¥¡¼¥ï¡¼¥É | °åÍѲèÁü, AI, ¿¼Áسؽ¬, ²èÁü¿ÇÃǻٱç |
¥¢¥Ö¥¹¥È¥é¥¯¥È | Âè3¼¡¿Í¹©ÃÎǽ¡ÊAI¡Ë¥Ö¡¼¥à¤ò·Þ¤¨¡¤¥³¥ó¥Ô¥å¡¼¥¿¤¬¼«¤é³Ø½¬¤¹¤ë¡Öµ¡³£³Ø½¬¡×Ë¡¤Î°ì¼ï¤Ç¤¢¤ë¡Ø¥Ç¥£¡¼¥×¥é¡¼¥Ë¥ó¥°¡Ùµ»½Ñ¤Î½Ð¸½¤Ë¤è¤ê¡¤²èÁüǧ¼±¤ÎÀºÅÙ¤¬¿Í´Ö¤ÎÀºÅÙ¤òĶ¤¨¤ë¥ì¥Ù¥ë¤Ë㤷¤Æ¤¤¤ë¡¥°åÎÅʬÌî¤Ë¤ª¤±¤ëAI¤Î³«È¯¡¦Æ³Æþ¤âµÞ·ã¤Ë¿Ê¤ó¤Ç¤¤¤ë¡¥2017ǯ7·î¤Ë¡¤¸üÀ¸Ï«Æ¯¾Ê¤Îº©Ïòñ¤Ï¡¤AI¤òÍøÍѤ·¤¿Éµ¤¤Î¿ÇÃǤä°åÌôÉʳ«È¯¤Î»Ù±ç¤ò¡¤2020ǯÅ٤ˤâ¼Â¸½¤¹¤ë¤³¤È¤òÀ¹¤ê¹þ¤ó¤ÀÊó¹ð½ñ¤ò¸øɽ¤·¡¤Æä˳«È¯¤ò¿Ê¤á¤ë½ÅÅÀÎΰè¤È¤·¤Æ¡¤¡Ö¥²¥Î¥à°åΚס¤¡Ö²èÁü¿ÇÃǻٱç¡×¡¤¡Ö¿ÇÃÇ¡¦¼£ÎŻٱç¡×¡¤¡Ö°åÌôÉʳ«È¯¡×¤Î4Îΰè¤òµó¤²¤Æ¤¤¤ë¡¥Ëֱܹé¤Ç¤Ï¡¤²èÁü¿ÇÃǻٱçÎΰè¤Ë¤ª¤±¤ëAIƳÆþ¤Î¸½¾õ¤È²ÝÂꡤ¾ÍèŸ˾¤Ë¤Ä¤¤¤Æ³µÀ⤹¤ë¡¥ |
Âê̾ | Improving Defect Coverage of Testing Power TSVs by Increasing Sensitivity to TSV Resistance |
Ãø¼Ô | ¡ûKoutaro Hachiya (Teikyo Heisei University) |
¥Ú¡¼¥¸ | pp. 62 - 67 |
¥¡¼¥ï¡¼¥É | 3D-IC, TSV, open defect, defect coverage |
¥¢¥Ö¥¹¥È¥é¥¯¥È | The increasing complexity of power distribution networks (PDNs) in 3D stacked ICs is raising demand for testing power TSVs because defects in PDNs can cause intermittent unwanted behavior of the circuits. A method to detect open defects of power TSVs by measuring resistances between micro-bumps was proposed. But it suffers from low sensitivity to change of TSV resistance resulting in low defect coverage. In this paper, a method is proposed which improves the sensitivity by changing dimensions of PDN in 3D-IC with two stacked dies. The simulation results show that the method improves defect coverage of detecting both full-open and resistive-open defects of power TSVs. |
Âê̾ | NoC¤Ë¤ª¤±¤ëÂѸξ㡦·èÄêŪ¥ë¡¼¥Æ¥£¥ó¥°Ë¡¤ËÂФ¹¤ë²¾ÁÛ¥Á¥ã¥Í¥ë¤ÎŬÍѸú²Ì |
Ãø¼Ô | ¡ý¹õÀî ÍÛÂÀ, Ê¡»Î ¾ (»³¸ýÂç³ØÂç³Ø±¡ÁÏÀ®²Ê³Ø¸¦µæ²Ê) |
¥Ú¡¼¥¸ | pp. 68 - 73 |
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Ãø¼Ô | ±©ÅÄ ´î¸÷, ¡û¾®Ê¿ ¹Ô½¨ (²ñÄÅÂç³Ø) |
¥Ú¡¼¥¸ | pp. 74 - 79 |
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Ãø¼Ô | ¡û¿¹ µ®ÍÎ (»º¶Èµ»½ÑÁí¹ç¸¦µæ½ê) |
¥Ú¡¼¥¸ | p. 80 |
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Ãø¼Ô | ¡ûÂÙÃÏ ¿¿¹°¿Í (Íý²½³Ø¸¦µæ½ê) |
¥Ú¡¼¥¸ | pp. 81 - 83 |
¥¡¼¥ï¡¼¥É | ÀìÍÑ·×»»µ¡, SoC, ¹âÀǽ·×»» |
¥¢¥Ö¥¹¥È¥é¥¯¥È | ²æ¡¹¤Ï¤³¤ì¤Þ¤Ç¡¤²Ê³Ø·×»»¤Î¤¿¤á¤ÎÀìÍÑ·×»»µ¡¤Î³«È¯¤ò·Ñ³Ū¤Ë¹Ô¤Ã¤Æ¤¤¿¡¥¶áǯ¡¤Ê¬»ÒÆ°Îϳإ·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Î¤¿¤á¤ÎÀìÍÑ·×»»µ¡¡ÖMDGRAPE-4A¡×¤ò´°À®¤µ¤»¡¤ÁÏÌô±þÍÑÅù¤ò¿ä¿Ê¤·¤Æ¤¤¤ë¡¥MDGRAPE-4A¤Ï¡¤ÀìÍѤÎÂ絬ÌÏSoC 512¥Á¥Ã¥×¤ò¡¤¸÷¥Í¥Ã¥È¥ï¡¼¥¯¤ÇÀܳ¤·¤¿¥·¥¹¥Æ¥à¤Ç¤¢¤ë¡¥ËÜSoC¤Ï¡¤ÀìÍѤι⮱黻¥Ñ¥¤¥×¥é¥¤¥ó¤Ë²Ã¤¨¡¤RISC-V¥Ù¡¼¥¹¤Î¥«¥¹¥¿¥à²½¤µ¤ì¤¿ÈÆÍÑ¥³¥¢17¥³¥¢¡¤ÀìÍѲ½¤µ¤ì¤¿¥á¥â¥ê¡¤Æȼ«¤ÎÄãÃÙ±ä¥Í¥Ã¥È¥ï¡¼¥¯¤òÁȤ߹ç¤ï¤»¤¿¤â¤Î¤Ç¤¢¤ë¡¥¹Ö±é¤Ç¤Ï¥·¥¹¥Æ¥à¤Î¾ÜºÙ¤È¡¤¼¡À¤Âå¤Î·×²è¤Ë¤Ä¤¤¤Æ¾Ò²ð¤·¤¿¤¤¡¥ |
Âê̾ | µ¡³£²Ã¹©¥¹¥±¥¸¥å¡¼¥ê¥ó¥°ÌäÂê¤Î»þ´Ö¥ª¡¼¥È¥Þ¥È¥ó¤Ë¤è¤ë¥â¥Ç¥ë²½¤È¥â¥Ç¥ë¸¡ºº¤Ë¤è¤ëºÇŬ²½ |
Ãø¼Ô | ¡ýß·»Þ Îɼù, ÃæÅÄ ¹¯Í¤, Ãæ¼ Àµ¼ù, ºç¸¶ °ìµª (ÉÙ»³¸©Î©Âç³Ø) |
¥Ú¡¼¥¸ | pp. 84 - 89 |
¥¡¼¥ï¡¼¥É | À¸»º¥¹¥±¥¸¥å¡¼¥ê¥ó¥°, »þ´Ö¥ª¡¼¥È¥Þ¥È¥ó, ¥â¥Ç¥ë¸¡ºº, UPPAAL |
¥¢¥Ö¥¹¥È¥é¥¯¥È | ¤â¤Î¤Å¤¯¤ê¤Î¸½¾ì¤Ë¤ª¤¤¤Æ¡¤²Ã¹©µ¡³£¤ÎƳÆþ¤Ë¤è¤ëÀ¸»º¹©Äø¤Î¼«Æ°²½¤¬¿Ê¤à°ìÊý¤Ç¡¤¥¹¥±¥¸¥å¡¼¥ë¤Ëµ¯°ø¤·¤ÆÀ¸»º¸úΨ¤¬ÄäÂÚ¤¹¤ë»öÎ㤬Êó¹ð¤µ¤ì¤Æ¤¤¤ë¡¥Ëܸ¦µæ¤Ç¤Ï¡¤¤³¤Î¤è¤¦¤Ê»öÎã¤Î°ì¤Ä¤È¤·¤Æ¥Þ¥·¥Ë¥ó¥°¥»¥ó¥¿¤Ë¤ª¤±¤ë¥¹¥±¥¸¥å¡¼¥ê¥ó¥°¤òÂоݤȤ·¡¤»þ´ÖÊѲ½¤òȼ¤¦ÌäÂê¤ò°·¤¦¤Î¤ËŤ±¤¿UPPAAL¥Ä¡¼¥ë¤òÍѤ¤¤Æ½àºÇŬ¥¹¥±¥¸¥å¡¼¥ë¤ÎƳ½Ð¤ò»î¤ß¤ë¡¥UPPAAL¥Ä¡¼¥ë¤Ë¤è¤ê¡¤ÌäÂê¤ò¥â¥Ç¥ë²½¤·¡¤¼ÂºÝ¤Î¸½¾ì¤Ç¤Î±¿ÍѤòÄ̤·¤Æ¡¤Æ³½Ð¤·¤¿¥¹¥±¥¸¥å¡¼¥ë¤ÎÂÅÅöÀ¤ò¸¡¾Ú¤¹¤ë¡¥ |
Âê̾ | Cardinality of Maximum Matchings in Uniformity-Nonadjacent Graphs |
Ãø¼Ô | ¡ûSatoshi Taoka, Toshimasa Watanabe (Hiroshima University) |
¥Ú¡¼¥¸ | pp. 90 - 94 |
¥¡¼¥ï¡¼¥É | The maximum cardinality matching problem, a dense graph |
¥¢¥Ö¥¹¥È¥é¥¯¥È | The subject of this paper is maximum matchings of graphs. An edge set M of a given graph G = (V, E) is called a matching if and only if any pair of edges in M share no endvertices. A maximum matching of G is a matching whose cardinality is maximum among those of G. For a fixed integer \sigma, a uniformity-nonadjacent graph is a simple graph such that for any vertex set X \subset V the number of nonadjacent pair {x, y} (that is, an edge (x, y) is not included in the graph) with x \in X and y \in V-X is at most \sigma. In this paper we show property of cardinality of maximum matchings in a uniformity-nonadjacent graph. This result can contribute improving time complexity of an algorithm of some problem. |
Âê̾ | ¼Ò²ñŪ;¾êºÇÂç²½¤ÎÏÈÁȤߤòÍѤ¤¤¿¥Ç¥Þ¥ó¥É¥ì¥¹¥Ý¥ó¥¹Àß·×¼êË¡ |
Ãø¼Ô | ¡û¹âÌî ¹Àµ®, µÈÅÄ ¾°ÍÎ (´ôÉìÂç³Ø/¹©³ØÉô Åŵ¤ÅŻҡ¦¾ðÊ󹩳زÊ), ÀõÌî ¹À»Ö (ÅÅÎÏÃæ±û¸¦µæ½ê/¥¨¥Í¥ë¥®¡¼¥¤¥Î¥Ù¡¼¥·¥ç¥óÁÏȯ¥»¥ó¥¿¡¼), ÇëÅç Íý (¶å½£Âç³Ø/Áí¹çÍý¹©³Ø¸¦µæ±¡), Nguyen Duc Tuyen (Power System Department, Hanoi University of Science and Technology) |
¥Ú¡¼¥¸ | pp. 95 - 100 |
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Ãø¼Ô | ¡û°æ¾å ÈþÃÒ»Ò (ÆàÎÉÀèü²Ê³Øµ»½ÑÂç³Ø±¡Âç³Ø) |
¥Ú¡¼¥¸ | pp. 101 - 106 |
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Ãø¼Ô | ¡û³òÅç ¾Í²ð (ÅìµþÂç³Ø) |
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¥Ú¡¼¥¸ | pp. 108 - 110 |
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¥Ú¡¼¥¸ | pp. 111 - 115 |
¥¡¼¥ï¡¼¥É | ¿¼Áسؽ¬, ¥»¥¥å¥ê¥Æ¥£, ²èÁüǧ¼±, Adversarial Examples, ŨÂÐŪ¤ÊÎã |
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¥Ú¡¼¥¸ | pp. 116 - 120 |
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