¸þ»³¡¡´²¿Í | 1451107: M, 1²óÌÜȯɽ | ¥í¥Ü¥Æ¥£¥¯¥¹ |
title: Force estimation from the fingertip lateral deformation
abstract: we propose a pressing and slip direction forces estimation method from the lateral deformation sensor data.We previously reported we developed a novel sensor which can measure the lateral deformation of the fingertip and proposed an incipient slip estimation method from the lateral deformation sensor data.I create several transfer function models with different condition, finger, normal force, slip coefficient, finger moving speed, for verification of the effect of the condition. Experimental results show that the proposed method can estimate the pressing and slip direction forces precisely under a wide range of the conditions. language of the presentation: Japanese ȯɽÂêÌÜ: »ØÀè¦ÊýÊÑ·Á¤Ë¤è¤ëÎÏ¿äÄê ȯɽ³µÍ×: ¼«Á³¤Ê»ØÀèÀÜ¿¨¾õÂÖ¤òÊݤ俤ޤ޻ØÀè¤ÇȯÀ¸¤¹¤ëÎϤò·×¬¤¹¤ë¤¿¤á¤Î¼êË¡¤òÄó°Æ¤¹¤ë¡¥»Ø¤ÎÄÞ¦¤ËÁõÃ夹¤ë¥»¥ó¥µ¤Ë¤è¤Ã¤Æ»ØÊ¢Éô¤ÎÊÑ·Á¤ò·×¬¤·¡¤ÊÑ·Á¤Î»þ´Ö±þÅú¤«¤é»ØÀèÀÜ¿¨Ì̤ËȯÀ¸¤·¤Æ¤¤¤ëÎϤò¿äÄꤹ¤ë¡¥¥»¥ó¥µ¤Ë¤Ï2¤Ä¤ÎÏÄ¥²¡¼¥¸¤¬ÅëºÜ¤µ¤ì¤Æ¤ª¤ê¡¤ÅÁã´Ø¿ô¥â¥Ç¥ë¤Ë¤è¤Ã¤Æ¥»¥ó¥µ½ÐÎϤè¤ê½é´ü³ê¤êÎ̤ò·×»»¤¹¤ë¡¥È︳¼Ô¡¦²¡¤·¤Ä¤±ÎÏ¡¦Ë໤·¸¿ô¡¦»Ø¤Î°Üư®Å٤Τ½¤ì¤¾¤ì¤Î¾ò·ï¤¬ÊѲ½¤·¤¿¾ì¹ç¤Ë¡¤ÅÁã´Ø¿ô¥â¥Ç¥ë¤Ë¤É¤Î¤è¤¦¤Ê±Æ¶Á¤¬¤¢¤ë¤«¤ò¼Â¸³¤Ë¤è¤Ã¤Æ¸¡¾Ú¤¹¤ë¡¥¼Â¸³·ë²Ì¤è¤ê¡¤¾ò·ï¤òÊѤ¨¤¿¾ì¹ç¤Ç¤â¡¤Á´¤Æ¤Î¾ò·ï¤ò´Þ¤ó¤À¥Ç¡¼¥¿¤Ë¤è¤êºîÀ®¤µ¤ì¤¿¥â¥Ç¥ë¤òÍѤ¤¤ë¤³¤È¤Ç¹âÀºÅ٤˽é´ü³ê¤ê¤¬¿äÄê¤Ç¤¤ë¤³¤È¤ò¼¨¤¹¡¥ | ||
»³ùõ¡¡ÏË | 1451116: M, 1²óÌÜȯɽ | ¥í¥Ü¥Æ¥£¥¯¥¹ |
title: Autonomous Object Position Database Creation Using Egocentric Vision and Mobile Robot Vision
abstract: It is important that service robot obtains target's positional information in fetch and carry task. Many researches about this task is based on the assumption that target can be observed or robot has target's rough positional information, and robot obtains the information from image recognition etc. each time. In my research, I consider the probrem of creating object position database, and I propose a system using egocentric vision and mobile robot vision. In this presentation, I introduce a previous study and explain overview, problems and approaches of the proposal. language of the presentation: Japanese ȯɽÂêÌÜ: °ì¿Í¾Î»ëÅÀ¥«¥á¥é¤È°ÜÆ°¥í¥Ü¥Ã¥È¥«¥á¥é¤òÍѤ¤¤¿ÊªÂΰÌÃ֥ǡ¼¥¿¥Ù¡¼¥¹¼«Æ°À¸À® ȯɽ³µÍ×: ¥µ¡¼¥Ó¥¹¥í¥Ü¥Ã¥È¤Î¡Ö»Ø¼¨¤µ¤ì¤¿Êª¤ò»ý¤Ã¤Æ¤¯¤ë¡×¥¿¥¹¥¯¤Ë¤ª¤¤¤ÆʪÂΤΰÌÃÖ¤òÇÄ°®¤¹¤ë¤³¤È¤ÏÈó¾ï¤Ë½ÅÍפǤ¢¤ë¡¥´û¸¤Î¸¦µæ¤Ç¤Ï»Ø¼¨¤µ¤ì¤ëʪÂΤ¬´Ä¶Ãæ¤Ç´Ñ¬¤Ç¤¤ë¤³¤È¤¬Â¿¤¯¡¤ÅÔÅÙ¡¤²èÁüǧ¼±Åù¤Ë¤è¤Ã¤ÆʪÂΰÌÃÖ¤òõº÷¡¦ÇÄ°®¤·¤Æ¤¤¤ë¡¥¤½¤³¤ÇËܸ¦µæ¤Ç¤Ï¡¤°ì¿Í¾Î»ëÅÀ¥«¥á¥é¤È°ÜÆ°¥í¥Ü¥Ã¥È¤Î¥«¥á¥é¤òÍѤ¤¤Æ´Ä¶Ãæ¤Î¤¹¤Ù¤Æ¤ÎʪÂΰÌÃÖ¤ò»öÁ°¤ËÇÄ°®¤¹¤ë¥·¥¹¥Æ¥à¤òÄó°Æ¤¹¤ë¡¥È¯É½¤Ç¤Ï´û¸¸¦µæ¤Î¼êË¡¤Ë¤Ä¤¤¤Æ¾Ò²ð¤¹¤ë¤È¤È¤â¤ËÄó°Æ¥·¥¹¥Æ¥à¤Î³µÍפȲÝÂꡤÂкö¼êË¡¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë¡¥ | ||
LIDWINA AYU ANDARINI | 1451125: M, 1²óÌÜȯɽ | ·×»»¥·¥¹¥Æ¥à¥ºÀ¸Êª³Ø |
title: Non-contact Respiratory and Heart Rates Measurement Using Doppler Radar abstract: Continuous vital sign measurement is important in various fields including medical, automotive, sports, etc. The current available technology being used for continuous vital sign monitoring involves attaching probes and devices to the subjects body. This aside from causing inconvenience for the subject, is also not suitable for infant subjects and subjects with special skin condition. To overcome this problem, a doppler radar is a possible solution for measuring respiratory rate and heart rate without making contact with the subject. Chest movement of the subject can be picked up by the radar and with proper signal processing, it can give the information of the subject¡Çs respiratory and heart rates. language of the presentation: English | ||
ÀÐÁÒ¡¡ÌÀÀ¸ | 1451007: M, 1²óÌÜȯɽ | Â絬ÌÏ¥·¥¹¥Æ¥à´ÉÍý |
title: Construction Of Human Evacuation Behavior Model Under a Disaster
abstract: Our laboratory is working to develop a system which estimates the disaster situation and instructs people to safe places immediately after a disaster. For doing that, it is necessary to have a model to simulate real evacuation process. Therefore, I am working to construct and implement a model about how people move under a disaster. Then, in order to provide an initial position at the start of the simulation properly, I am working to construct and implement a model about how people move in their daily lives. In this research, I implemented Homesick Levy Walk, proposed by Akihiro Hujihara, on the ONE simulator and checked whether it works correctly. I also describe the outlook on constructing more realistic model which extends Homesick Levy Walk. language of the presentation: Japanese ȯɽÂêÌÜ: ºÒ³²È¯À¸»þ¤Ë¤ª¤±¤ëÈòÆñ¹ÔÆ°¥â¥Ç¥ë¤Î¹½ÃÛ È¯É½³µÍ×: ȯɽ¼Ô¤Î¸¦µæ¼¼¤Ç¤Ï¡¢¥â¥Ð¥¤¥ëüËö¤Î°ÜÆ°µ°À×¾ðÊó¤òÍѤ¤¤ë¤³¤È¤Ç¡¢ºÒ³²È¯À¸Ä¾¸å¤ÎÈïºÒ¾õ¶·¿äÄꡦÈòÆñͶƳ¤ò¹Ô¤¦¥·¥¹¥Æ¥à¤Î³«È¯¤ò¿Ê¤á¤Æ¤¤¤ë¡£ËÜ¥·¥¹¥Æ¥à¤ò¿ôÃÍ¥·¥ß¥å¥ì¡¼¥·¥ç¥ó¤Ë¤è¤Ã¤ÆÀµ³Î¤Ëɾ²Á¤¹¤ë¤¿¤á¤Ë¤Ï¡¢¼ÂºÝ¤ÎÈòÆñ¹ÔÆ°¤òÌϵ¼¤·¤¿¥â¥Ç¥ë¤¬É¬ÍפȤʤ롣¤½¤Î¤¿¤á¡¢È¯É½¼Ô¤ÏºÒ³²È¯À¸»þ¤Ë¤ª¤±¤ëÈòÆñ¹ÔÆ°¥â¥Ç¥ë¤Î¹½ÃÛ¡¦¼ÂÁõ¤òÌܻؤ·¤Æ¤¤¤ë¡£¥·¥ß¥å¥ì¡¼¥·¥ç¥ó³«»Ï»þ¤Î½é´ü°ÌÃÖ¤òŬÀÚ¤ËÍ¿¤¨¤ë¤¿¤á¤Ë¡¢¸½ºß¡¢Ê¿»þ¤Ë¤ª¤±¤ë¹ÔÆ°¥â¥Ç¥ë¤Î¹½ÃÛ¡¦¼ÂÁõ¤Ë¤à¤±¤Æ¼è¤êÁȤó¤Ç¤¤¤ë¡£ONE¾å¤ÇHomesick Levy Walk¤Î¼ÂÁõ¤ò¹Ô¤¤¡¢Àµ¤·¤¯Æ°ºî¤·¤Æ¤¤¤ë¤«¤Î³Îǧ¤ò¹Ô¤Ã¤¿¡£¤µ¤é¤Ë¡¢Homesick Levy Walk¤ò³ÈÂ礷¤¿¡¢¤è¤ê¸½¼Â¤Ë¶á¤¤Ê¿»þ¤Ë¤ª¤±¤ë¹ÔÆ°¥â¥Ç¥ë¤Î¹½Ãۤ˴ؤ¹¤ëŸ˾¤Ë¤Ä¤¤¤Æ½Ò¤Ù¤ë¡£ | ||
±àÅÄ¡¡¹¸¸Ê | 1451062: M, 1²óÌÜȯɽ | Â絬ÌÏ¥·¥¹¥Æ¥à´ÉÍý |
title: Path Enumeration Algorithm Using Zero-suppressed binary Decision Diagram (ZDD) and its Application to Evacuation Guidance
abstract: In my laboratory, we develop an evacuation guidance system under the circumstances of an emergency. In this system, we need to develop high-speed calculation programs of evacuation routes using information which changes over time. I introduce a path enumeration algorithm, proposed by D. Knuth, using Zero-suppressed binary Decision Diagram (ZDD) and applying to the evacuation guidance system. I also explain advantages and issues of this approach through two experiments which I carried out. language of the presentation: Japanese ȯɽÂêÌÜ: ¥¼¥í¥µ¥×¥ì¥¹·¿Æóʬ·èÄꥰ¥é¥Õ(ZDD)¤òÍѤ¤¤¿·Ðϩõº÷¥¢¥ë¥´¥ê¥º¥à¤ÈÈòÆñͶƳ¤Ø¤Î±þÍÑ È¯É½³µÍ×: ȯɽ¼Ô¤Î¸¦µæ¼¼¤Ç¤Ï¡¢ºÒ³²»þ¤ÎÈòÆñͶƳ¥·¥¹¥Æ¥à¤Î³«È¯¤ò¿Ê¤á¤Æ¤¤¤ë¡£¤½¤Î¥·¥¹¥Æ¥à¤ÎÃæ¤Ç¤Ï¡¢»þ¡¹¹ï¡¹¤ÈÊѲ½¤¹¤ëÈïºÒ¾ðÊó¤ò´ð¤Ë¤·¤¿ÈòÆñ·ÐÏ©¤Î¹â®·×»»¤¬É¬Íפˤʤ롣ËÜȯɽ¤Ç¤Ï¡¢¥¼¥í¥µ¥×¥ì¥¹·¿Æóʬ·èÄꥰ¥é¥Õ(ZDD) ¤òÍѤ¤¤¿¥Ñ¥¹Îóµó¥¢¥ë¥´¥ê¥º¥à¤ò¾Ò²ð¤·¡¢ÈòÆñͶƳ¥·¥¹¥Æ¥à¤Ø¤ÎŬÍѤò¹Í¤¨¤ë¡£¤Þ¤¿¤½¤Î¼êË¡¤ÎÍøÅÀ¤È²ÝÂêÅÀ¤Ë¤Ä¤¤¤Æ£²¤Ä¤Î¼Â¸³¤òÄ̤¸¤Æ½Ò¤Ù¤ë ¡£ | ||
¼¾¾¡¡¹ÒÊ¿ | 1451110: M, 1²óÌÜȯɽ | ¼«Á³¸À¸ì½èÍý³Ø |
title: Hindi-English SMT using Pre-ordering
abstract: Statistical Machine Translation(SMT) is a technique of machine translation using statistical model. Word reordering problem occurs when translating different word order languages. To this problem, Pre-ordering is proposed, which is a technique of reordering source language order in target language order before translation. Pre-orderig needs a parser because it uses syntactic information. So it is difficult for languages which have no parsers to be translated using Pre-order technique. We introduce Pre-ordering technique which needs no parser, and examine the accuracy of this technique by Hindi-English translation. language of the presentation: Japanese ȯɽÂêÌÜ: »öÁ°Ê¤ÙÂؤ¨¤òÍøÍѤ·¤¿¥Ò¥ó¥Ç¥£¡¼¸ì-±Ñ¸ìÅý·×Ūµ¡³£ËÝÌõ ȯɽ³µÍ×: ¥³¡¼¥Ñ¥¹¤«¤éÅý·×¥â¥Ç¥ë¤ò³Ø½¬¤·µ¡³£ËÝÌõ¤ò¹Ô¤¦Åý·×Ūµ¡³£ËÝÌõ¤Ç¤Ï¡¢¸ì½ç¤¬Â礤¯Î¥¤ì¤¿¸À¸ì´Ö¤ÎËÝÌõ¤Ë¤ª¤¤¤ÆËÝÌõÀºÅÙ¤¬²¼¤¬¤Ã¤Æ¤·¤Þ¤¦¤È¤¤¤¦ÌäÂ꤬µ¯¤¤Æ¤¤¤¿¡£¤³¤¦¤·¤¿ÌäÂê¤ËÂФ·¡¢ËÝÌõ¸µ¤Î¸À¸ì¤òËÝÌõÀè¤Î¸À¸ì¤Î¸ì½ç¤ËʤÙÂؤ¨¤Æ¤«¤éËÝÌõ¤¹¤ë¤È¤¤¤¦»öÁ°Ê¤ÙÂؤ¨¤È¤¤¤¦¼êË¡¤¬¼è¤é¤ì¤ÆÍ褿¡£¹½Ê¸¾ðÊó¤òÍøÍѤ¹¤ëʤÙÂؤ¨¼êË¡¤Ç¤Ï¡¢¹½Ê¸²òÀÏ´ï¤ò»ý¤¿¤Ê¤¤¸À¸ì¤ÎʤÙÂؤ¨¤Ïº¤Æñ¤Ç¤¢¤ë¡£ËÜȯɽ¤Ç¤Ï¹½Ê¸²òÀÏ´ï¤òÍѤ¤¤Ê¤¤Ê¤ÙÂؤ¨¼êË¡¤Î°ì¤Ä¤ò¾Ò²ð¤·¡¢¸ì½ç¤ÎÎ¥¤ì¤¿¸À¸ìÂФȤ·¤Æ±Ñ¸ì¡¦¥Ò¥ó¥Ç¥£¡¼¸ì¤ò¤¢¤²¡¢Ê¤ÙÂؤ¨µÚ¤ÓËÝÌõ¤ò¹Ô¤¦¡£ | ||
»³ÅÄ¡¡Í´¼Â | 1451117: M, 1²óÌÜȯɽ | ¼«Á³¸À¸ì½èÍý³Ø |
title: Machine Translation of Classical Japanese into Contemporary Japanese
abstract: Statistical Machine Translation is used to translate classical Japanese into contemporary Japanese to solve classical Japanese problems of the national center test as a trial in the artificial intelligence project 'Can a Robot Get into the University of Tokyo?' by the National Institute of Informatics. In the process of Statistical Machine Translation, statistical information of translation pairs and output sentences are trained as a translation model and a language model. In this study, we examine the accuracy of translation by trying some different corpora to train language models, which have influence on literary style of output sentences. language of the presentation: Japanese ȯɽÂêÌÜ:ÆüËܸì¸Å¸ì¤òÂоݤȤ·¤¿¸½Âå¸ì¤Ø¤Îµ¡³£ËÝÌõ ȯɽ³µÍס§¶áǯ¡¤¹ñΩ¾ðÊó³Ø¸¦µæ½ê¤Ë¤è¤ë¡Ø¿Í¹©Æ¬Ç¾¡Ù¥×¥í¥¸¥§¥¯¥È¡Ö¥í¥Ü¥Ã¥È¤ÏÅìÂç¤ËÆþ¤ì¤ë¤«¡©¡×¤Ë¤ª¤¤¤Æ¡¤Âç³Ø¥»¥ó¥¿¡¼»î¸³¤Î¸ÅʸÌäÂê¤Ë²òÅú¤¹¤ë¤¿¤á¤Ë¡¤Åý·×Ūµ¡³£ËÝÌõ¤òÍѤ¤¤Æ¸Åʸ¤ò¸½Âå¸ì¤ØËÝÌõ¤¹¤ë»î¤ß¤¬¤Ê¤µ¤ì¤Æ¤¤¤ë¡¥Åý·×Ūµ¡³£ËÝÌõ¤Ç¤Ï¡¤ËÝÌõʸ¤ÎÂбþ´Ø·¸¤ò³Ø½¬¤·¤¿ËÝÌõ¥â¥Ç¥ë¤È¡¤½ÐÎϸÀ¸ì¤ÎʸÂΤò¼«Á³¤Ê¤â¤Î¤Ë¤¹¤ë¸À¸ì¥â¥Ç¥ë¤ò¼«Æ°Åª¤Ë³Ø½¬¤·¡¤¤³¤ì¤é¤ÎÅý·×Ū¤Ê¾ðÊó¤ò¤â¤È¤ËŬÀÚ¤ÊËÝÌõʸ¤ò½ÐÎϤ¹¤ë¡¥Ëܸ¦µæ¤Ç¤Ï¡¤¸À¸ì¥â¥Ç¥ë¤ò³Ø½¬¤¹¤ëºÝ¤Ë»ÈÍѤ¹¤ë¥³¡¼¥Ñ¥¹¤ò¿ô¼ïÎà»î¤¹¤³¤È¤Ç½ÐÎÏʸ¤ÎʸÂΤòÊѤ¨¡¤Ê¿°Âʸ³ØºîÉʤÎËÝÌõÀºÅ٤θþ¾å¤ò¿Þ¤Ã¤¿¡¥ | ||
ÁáÅÄ¡¡¹·À¸ | 1451084: M, 1²óÌÜȯɽ | ¥¤¥ó¥¿¥é¥¯¥Æ¥£¥Ö¥á¥Ç¥£¥¢Àß·×³Ø |
title: An Encounter-Type Haptic Display for Visuo-Haptic Augmented Reality
abstract: AR has started to use in some fields from a few years ago, in many cases, it is used as indicating additional information or showing characters in some applications. One of the reasons, we could just only see CG objects but could not touch them. It is inconvenience to manipulate virtual objects and this thing makes us feel impatient. We present a method that allows a user to feel touching various size virtual objects as if it is a real object. To touch a CG object, we use two small tiles attached to a robot arm on the ceiling. Tiles are on the back of CG objects. When user tries to touch and trace a contour of it, these tiles move quickly along its con-tour according to the movement of a user hand. To touch the curve by using plane tiles, we use pseudo-haptic effect, what it changes the perceived shape of a physical object. language of the presentation: Japanese ȯɽÂêÌÜ: »ë³ÐÎϳÐÅý¹ç´Ä¶¤Ë¤ª¤±¤ë³ÈÄ¥¸½¼Â´¶¤Î¤¿¤á¤ÎÁø¶ø·¿¥Ç¥£¥¹¥×¥ì¥¤¥·¥¹¥Æ¥à¤ÎÄó°Æ ȯɽ³µÍ×: ¶áǯAR¡Ê³ÈÄ¥¸½¼Â´¶¡Ëµ»½Ñ¤ÏÍÍ¡¹¤ÊʬÌî¤Ç»ÈÍѤµ¤ì»Ï¤á¤Æ¤¤¤ë¡¥¤½¤Î¿¤¯¤ÏÊä¾ðÊó¤òɽ¼¨¤·¤¿¤ê¥¹¥Þ¡¼¥È¥Õ¥©¥ó¤Î¥¢¥×¥ê¥±¡¼¥·¥ç¥óÆâ¤Ç¥¥ã¥é¥¯¥¿¡¼¤òɽ¼¨¤µ¤»¤¿¤ê¤¹¤ë¤È¤¤¤Ã¤¿ÉղþðÊó¤Îɽ¼¨¤ËÍѤ¤¤é¤ì¤Æ¤¤¤ë¡¥¤½¤ÎÂ礤ÊÍýͳ¤Ï¡¤»äã¤ÏAR¥ª¥Ö¥¸¥§¥¯¥È¤Ë¿¨¤ì¤ë¤³¤È¤¬¤Ç¤¤Ê¤¤¤¿¤á¤Ç¤¢¤ë¡¤¤³¤ì¤Ï²¾ÁÛʪÂΤò°·¤¦¤È¤Èó¾ï¤ËÉÔÊؤǤ¢¤ê¡¤¥æ¡¼¥¶¤Ë¤â¤É¤«¤·¤µ¤ò´¶¤¸¤µ¤»¤Æ¤·¤Þ¤¦¡¥¤³¤ÎÌäÂê¤ò²ò·è¤¹¤ë¤¿¤á¡¤»äã¤Ï¼ÂºÝ¤Ë²¾ÁÛʪÂΤˤդì¤Æ¤¤¤ë¤«¤Î¤è¤¦¤Ê´¶³Ð¤ò¥æ¡¼¥¶¤ËÍ¿¤¨¤ëÁø¶ø·¿¥Ç¥£¥¹¥×¥ì¥¤¥·¥¹¥Æ¥à¤òÄó°Æ¤¹¤ë¡¥¤³¤Î¥·¥¹¥Æ¥à¤Ç¤ÏCG¤Ë¿¨¤ì¤ë¤¿¤á¤Ë¥í¥Ü¥Ã¥È¥¢¡¼¥à¤ËÀßÃÖ¤µ¤ì¤¿2Ëç¤Î¾®¤µ¤Ê¥¿¥¤¥ë¤ò»ÈÍѤ¹¤ë¡¥¥æ¡¼¥¶¤¬²¾ÁÛʪÂΤ˿¨¤ì¤è¤¦¤È¤¹¤ë¤È¤¡¤¤³¤Î¥¿¥¤¥ë¤Ï¥æ¡¼¥¶¤Î¼ê¤ÎÆ°¤¤Ë¹ç¤ï¤»¤Æ²¾ÁÛʪÂΤÎÎسԤ˱è¤Ã¤Æ¹â®¤Ç°ÜÆ°¤¹¤ë¡¥¤Ê¤¾¤í¤¦¤È¤¹¤ë²¾ÁÛʪÂÎʪÂΤÎɽÌ̤¬¶ÊÌ̤Ǥ¢¤ë¾ì¹ç¤Ë¤Ï¡¤µ¼»÷¿¨³Ð¤òÍ¿¤¨¤Æ¼ÂºÝ¤Ëǧ¼±¤·¤Æ¤¤¤ë¿¨³Ð¤òºø³Ð¤µ¤»¤ë¤³¤È¤Ç¡¤³ê¤é¤«¤Ê¶ÊÌ̤ο¨³Ð¤ò¥æ¡¼¥¶¤ËÍ¿¤¨¤ë¡¥ | ||
SOROKIN NICHOLAS JOHN | 1451128: M, 1²óÌÜȯɽ | ¥¤¥ó¥¿¥é¥¯¥Æ¥£¥Ö¥á¥Ç¥£¥¢Àß·×³Ø |
title: Video Game Based Design for AR X-ray abstract: Although Augmented Reality (AR) is not a new concept, the number of existing applications is still relatively small. This means that interactive User Interface (UI) systems for AR is not as well tested or understood, compared to more common systems. In my research, I focus will on the techniques used in first person video games. A common feature of video games is what is known as a Heads Up Display (HUD). The use of a HUD in first person games has significant parallels with AR applications that make use of Head Worn Displays (HWD). Specifically, in a video game, the entire virtual world is simulated, and therefore, ubiquitous information is known. This allows the creation and testing of more advanced AR techniques. By analysing video games, I intend to identify, and make use of, design principles used to design a UI system for use AR. language of the presentation: English | ||
À¾ÊÝ¡¡ÏÂËá | 1451082: M, 1²óÌÜȯɽ | ¥Í¥Ã¥È¥ï¡¼¥¯¥·¥¹¥Æ¥à³Ø |
title:Fiber radio multiplexing with optical OOK by frequency conversion
abstract:In recent years, more and more development of mobile network needs a high capacity backhaul. Thus,We focus on fiber radio multiplexing with optical OOK in this research. In this work, we consider a method of frequency conversion. language of the presentation: Japanese | ||
²¬ËÜ¡¡µ®Åµ | 1451028: M, 1²óÌÜȯɽ | ¸÷¥á¥Ç¥£¥¢¥¤¥ó¥¿¥Õ¥§¡¼¥¹ |
title:Analysis of the influence of the subsurface scattering using ToF camera
abstract:The study using Time of Flight camera is conducted flourishingly. Time of Flight camera is known for depth sensing method that is non-contact for the measurement object using the laser. However, Measuring an opaque object and translucent object, it was confirmed that a big gap occurred for the¡¡measurement result in a translucent object. Therefore the purpose of this study is accurate depth measurement of a translucent object using characteristic of the polarization in the scattering. To know the gap of the measurement in the translucent object, we performed a quantitative evaluation from a result. language of the presentation: ȯɽÂêÌÜ:ToF¥«¥á¥é¤òÍѤ¤¤¿É½Ì̲¼»¶Íð¤Î±Æ¶Á¤Î²òÀÏ È¯É½³µÍ×:¶áǯToF¥«¥á¥é¤òÍѤ¤¤¿¸¦µæ¤¬À¹¤ó¤Ë¹Ô¤ï¤ì¤Æ¤¤¤ë¡£ToF¥«¥á¥é¤Ï¥ì¡¼¥¶¤òÍѤ¤¤¿·×¬ÂоݤËÂФ·¤ÆÈóÀÜ¿¨¤Ê¬µ÷Êý¼°¤È¤·¤ÆÃΤé¤ì¤Æ¤¤¤ë¤¬¡¢ÉÔÆ©ÌÀʪÂΤÈȾƩÌÀʪÂΤò·×¬¤·¤¿¤È¤³¤í¡¢È¾Æ©ÌÀʪÂΤϷ׬·ë²Ì¤ËÂ礤ʤº¤ì¤¬À¸¤¸¤ë»ö¤¬³Îǧ¤µ¤ì¤¿¡£¤½¤³¤ÇËܸ¦µæ¤Ç¤Ï»¶Íð¤Ë¤ª¤±¤ëÊи÷¤ÎÆÃÀ¤òÍøÍѤ·¡¢È¾Æ©ÌÀʪÂΤÎÀµ³Î¤Êµ÷Î¥·×¬¤òÌÜŪ¤È¤¹¤ë¡£º£²ó¤ÏȾƩÌÀʪÂΤˤª¤±¤ë·×¬¤Î¤º¤ì¤òÃΤ뤿¤á¡¢Êи÷ÈĤγÑÅÙÊý¸þ¤Ë¤è¤êÀ¸¤¸¤ë·×¬·ë²Ì¤ÎÊѲ½¤«¤éÄêÎÌŪ¤Êɾ²Á¤ò¹Ô¤Ã¤¿¡£ | ||
ÀÄÌÚ¡¡Í´²Â | 1451001: M, 1²óÌÜȯɽ | ´Ä¶ÃÎǽ³Ø |
title:Improvement of immersiveness by semiautonomous operation of Android for remote interaction system
abstract:In this presentation, I propose an interface with high immersive experience by operating an android semi-autonomously in remote interactive system. It is difficult to intuitively control a remote android with a simple interface with a mobile device such as a laptop computer because user cannot operate android which has many degrees of freedom with the simple interface. In order to avoid the problem, the interface of remote communication system with an android employs semi-autonomous operation. However, the immersiveness of the interface decreases since user cannot feel an operational feeling or a presence. since the android performs behavior different from the operator intention, occur the problem of decrease of immersion, which means feeling android the operator's own body are identical . In this study, I propose interface with high immersiveness by incorporating an intention feedback function of the android operation in remote communication with a semi-autonomous operation of the android. language of the presentation: Japanese ȯɽÂêÌÜ:±ó³ÖÂÐÏÃ¥·¥¹¥Æ¥à¤Î¤¿¤á¤Î¥¢¥ó¥É¥í¥¤¥É¤ÎȾ¼«Î§Áàºî¤Ë¤è¤ëË×Æþ´¶¤Î¸þ¾å ȯɽ³µÍ×:ËÜȯɽ¤Ç¤Ï¡¢±ó³ÖÂÐÏÃ¥·¥¹¥Æ¥à¤Ë¤ª¤¤¤Æ¥¢¥ó¥É¥í¥¤¥É¤òȾ¼«Î§Åª¤ËÁàºî¤¹¤ë¤³¤È¤Ë¤è¤Ã¤ÆË×Æþ´¶¤ò¸þ¾å¤¹¤ë¤È¤¤¤¦¼êË¡¤òÄó°Æ¤¹¤ë¡£±ó³ÖÂÐÏÃ¥·¥¹¥Æ¥à¤Ë¤ª¤¤¤ÆÆ°ºî¤Î¼«Í³ÅÙ¤¬¹â¤¤¥¢¥ó¥É¥í¥¤¥É¤ò±ó³ÖÁàºî¤¹¤ë¾ì¹ç¡¢²ÄȤ¬Íưפʷ׻»µ¡¤Ê¤É¤Ë¤è¤ë´Ê°×±ó³ÖÁàºî¥¤¥ó¥¿¥Õ¥§¡¼¥¹¤Ç¤Ï¡¢ÃγС¦Áàºî¥¤¥ó¥¿¥Õ¥§¡¼¥¹¤¬¿Í´Ö¤È°Û¤Ê¤êľ´ÑŪ¤Ç¤Ê¤¤¾ì¹ç¤¬Â¿¤¤¡£¤½¤Î¤¿¤á¡¢Áàºî¼Ô¤Ë¤È¤Ã¤Æ¸½ÃϴĶ¤ÎǧÃΡ¢Áàºî¡¢Áàºî·ë²Ì¤ÎǧÃΤ¬º¤Æñ¤Ç¤¢¤ê¡¢ÂÐÌÌ»þƱÍͤËË×Æþ´¶¤Î¤¢¤ëÂÐÏäò¼Â¸½¤¹¤ë¤³¤È¤¬¤Ç¤¤Ê¤¤¡£¤³¤ÎÌäÂê¤ò²ò·è¤¹¤ë¤¿¤á¤Ë¡¢¥¢¥ó¥É¥í¥¤¥É¤Ë¼«Î§Æ°ºî¤òÁȤ߹þ¤à¤È¡¢Áàºî¼Ô¤Î°Õ¿Þ¤È°Û¤Ê¤ëÆ°ºî¤ò¥¢¥ó¥É¥í¥¤¥É¤¬¹Ô¤¦¤¿¤á¡¢¥¢¥ó¥É¥í¥¤¥É¤ÈÁàºî¼Ô¼«¿È¤Î¿ÈÂΤ¬Æ±°ì¤Ç¤¢¤ë¤È¤¤¤¦´¶³Ð¡¢Ë×Æþ´¶¤¬Ìµ¤¯¤Ê¤ë¤È¤¤¤¦ÌäÂ꤬À¸¤Þ¤ì¤ë¡£¤½¤Î¤¿¤á¡¢¥¢¥ó¥É¥í¥¤¥É¤Ë¼«Î§Æ°ºî¤òÁȤ߹þ¤à¤ÈƱ»þ¤Ë¤½¤ÎÆ°ºî¤Î°Õ¿Þ¤ò¥Õ¥£¡¼¥É¥Ð¥Ã¥¯¤¹¤ë¹©ÉפòÃγХ¤¥ó¥¿¥Õ¥§¡¼¥¹¤ËÁȤ߹þ¤à¤³¤È¤Ç¡¢¥¢¥ó¥É¥í¥¤¥É¤Ø¤ÎË×Æþ´¶¤ò¸þ¾å¤¹¤ë¡£ | ||
¿û¾Â¡¡¹§Æó | 1451059: M, 1²óÌÜȯɽ | ´Ä¶ÃÎǽ³Ø |
title: Time series data prediction of server operating conditions using a multivariate dynamic model
abstract: Since the thermal distribution in the data center will affect the power consumption of the server and air conditioner, even if the task amount in the data center are the same, the total power consumption of the data center by thermal distribution changes varies . Thus, from the obtained sensor data, to be able to predict the thermal distribution in the future of data center, system control for reducing the total power consumption is possible. In this report, using a multivariate time series data in the data center which is obtained by experimentation, to build a multivariate dynamic model to predict the thermal distribution of the future, and to evaluate the prediction accuracy. language of the presentation: Japanese ȯɽÂêÌÜ: ¿ÊÑÎÌưŪ¥â¥Ç¥ë¤òÍѤ¤¤¿¥µ¡¼¥Ð²ÔÆ°¾õ¶·¤Î»þ·ÏÎó¥Ç¡¼¥¿Í½Â¬ ȯɽ³µÍ×: ¥Ç¡¼¥¿¥»¥ó¥¿Æâ¤ÎǮʬÉۤϡ¤¥µ¡¼¥Ð¤ä¶õÄ´µ¡¤Î¾ÃÈñÅÅÎϤ˱ƶÁ¤òÍ¿¤¨¤ë¤¿¤á¡¤¥¿¥¹¥¯ÁíÎ̤¬Æ±¤¸¤Ç¤¢¤Ã¤Æ¤â¡¤Ç®Ê¬Éۤˤè¤Ã¤Æ¥Ç¡¼¥¿¥»¥ó¥¿¤ÎÁí¾ÃÈñÅÅÎϤÏÊÑÆ°¤¹¤ë¡¥½¾¤Ã¤Æ¡¤ÆÀ¤é¤ì¤ë¥»¥ó¥µ¥Ç¡¼¥¿¤«¤é¡¤Ì¤Íè¤Î¥Ç¡¼¥¿¥»¥ó¥¿Æâ¤ÎǮʬÉÛ¤òͽ¬¤¹¤ë¤³¤È¤¬½ÐÍè¤ì¤Ð¡¤Áí¾ÃÈñÅÅÎϤòÄ㸺¤µ¤»¤ë¤¿¤á¤Î¥·¥¹¥Æ¥àÀ©¸æ¤¬²Äǽ¤È¤Ê¤ë¡¥ËÜÊó¹ð¤Ç¤Ï¡¤¼Â¸³¤Ë¤è¤Ã¤ÆÆÀ¤é¤ì¤¿¥Ç¡¼¥¿¥»¥ó¥¿Æâ¤ÎǮʬÉÛ¤äÁí¾ÃÈñÅÅÎϤʤɤοÊÑÎÌ»þ·ÏÎó¥Ç¡¼¥¿¤«¤é¡¤Ì¤Íè¤ÎǮʬÉÛ¤òͽ¬¤¹¤ë¥¬¥¦¥¹²áÄø¤Ë´ð¤Å¤¯¾õÂÖ¶õ´Ö¥â¥Ç¥ë¤ò¹½ÃÛ¤·¡¤¤½¤Îͽ¬ÀºÅÙ¤ä·×»»»þ´Ö¤Îɾ²Á¤ò¹Ô¤¦¡¥ | ||
Ã漡¡Í¦µ® | 1451079: M, 1²óÌÜȯɽ | »ë³Ð¾ðÊó¥á¥Ç¥£¥¢ |
title: Thesis introduction about "Diminished Reality using Appearance and 3D Geometry of Internet Photo Collections"
abstract: Diminished reality, which removes unnecessary objects in the real world from in real time, has attracted attention. In this presentation I introduce the study that removes unnecessary objects using photos which were uploaded on the Internet. Considering the disadvantage of the method, I show the future study. language of the presentation: Japanese ȯɽÂêÌÜ: ÏÀʸ¾Ò²ð Diminished Reality using Appearance and 3D Geometry of Internet Photo Collections ȯɽ³µÍ×: ¸½¼ÂÀ¤³¦¤ÎÉÔÍ×ʪÂΤò±ÇÁü¤«¤é¥ê¥¢¥ë¥¿¥¤¥à¤Ë½üµî¤¹¤ë±£¾Ã¸½¼Â¤È¤¤¤¦µ»½Ñ¤¬ÃíÌܤµ¤ì¤Æ¤¤¤ë. ¤½¤³¤ÇËÜȯɽ¤Ç¤Ï¥¤¥ó¥¿¡¼¥Í¥Ã¥È¾å¤Ë¥¢¥Ã¥×¥í¡¼¥É¤µ¤ì¤¿¼Ì¿¿¤òÍѤ¤, ÉÔÍ×ʪÂΤò½üµî¤¹¤ë¸¦µæ¤Ë¤Ä¤¤¤Æ¾Ò²ð¤¹¤ë. ¤Þ¤¿, ¤½¤Î¼êË¡¤ÎÌäÂêÅÀ¤ò¹Í»¡¤·, º£¸å¤ÎÊý¿Ë¤ò½Ò¤Ù¤ë. | ||
¸þ¸¶¡¡¹¯Ê¿ | 1451106: M, 1²óÌÜȯɽ | ÃÎǽ¥³¥ß¥å¥Ë¥±¡¼¥·¥ç¥ó |
title: A study on speech recognition system considering emotional speech based on Deep Neural Network
abstract: The Speech recognition system doesn't care about emotinal speech. Therefore, emotional speech dosen't recognize emotion and degrade speech recognition quality. In this presentation, we propose Deep Neural Network to express emotion and improve emotional speech recognition quality. language of the presentation: Japanese ȯɽÂêÌÜ: Deep Learning ¤Ë´ð¤Å¤¯´¶¾ð¤ò´Þ¤à²»À¼¤ò¹Íθ¤·¤¿²»À¼Ç§¼±¥·¥¹¥Æ¥à¤Ë´Ø¤¹¤ë¸¦µæ ȯɽ³µÍ×: ¸½ºß¤Î²»À¼Ç§¼±¥·¥¹¥Æ¥à¤Ï´¶¾ð¤ò´Þ¤à²»À¼¤ò¹Íθ¤·¤Æ¤¤¤Ê¤¤¡£¤½¤Î¤¿¤á´¶¾ð²»À¼¤¬ÆþÎϤµ¤ì¤ë¤È¡¢½ÐÎϤµ¤ì¤ë¥Æ¥¥¹¥È¤«¤é¤Ï´¶¾ð¾ðÊ󤬷çÍ¡¢²»À¼Ç§¼±¤ÎÀºÅÙ¤ÏÄã²¼¤¹¤ë¡£¤½¤³¤ÇËܸ¦µæ¤Ç¤Ï´¶¾ð¤ò½ÐÎϤËɽ¸½¤¹¤ë¤È¤È¤â¤Ëǧ¼±ÀºÅÙ¤ò¸þ¾å¤¹¤ë¤¿¤á¤ÎDeep Neural Network ¤òÄó°Æ¤¹¤ë¡£ | ||