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Browsing 情報科学領域 / Division of Information Science by Title

Browsing 情報科学領域 / Division of Information Science by Title

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  • 秋山, 諒; 山本, 豪志朗; 武富 貴史; Alexander, Plopski; Amano, Toshiyuki; Christian, Sandor; 加藤, 博一 (IEEE, 2018-08-30)
    Using projection mapping, we can control the appearance of realworld objects by projecting colored light onto them. Because a projector can only add illumination to the scene, only a limited color gamut can be presented ...
  • Ueda, Yuki; Ishio, Takashi; Ihara, Akinori; Matsumoto, Kenichi (IEEE, 2019)
    Code review is key to ensuring the absence of potential issues in source code. Code reviewers spend a large amount of time to manually check submitted patches based on their knowledge. Since a number of patches sometimes ...
  • Nakashima, Hayato; Arai, Ismail; Fujikawa, Kazutoshi (MobiCASE STUDENT WORKSHOP (MCSW2018), 2018-12-28)
    In this paper, we investigated the method of counting the number of people getting on/off the bus. As a result, there are currently research and products that estimate the number of people getting on/off using dedicated ...
  • Okada, Joji; Ishio, Takashi; Sakata, Yuji; Inoue, Katsuro (IEEE, 2019)
    Legacy systems are important in business but difficult to maintain. One of the causes of the difficulties is a large number of code clones in the systems; Those clones implement similar functionalities using common loop ...
  • Nicko, R. Caluya; Alexander, Plopski; Jayzon, F. Ty; 武富, 貴史; 加藤, 博一; Christian, Sandor (IEEE, 2018-08-30)
    Work space simulations help trainees acquire skills necessary to perform their tasks efficiently without disrupting the workflow, forgetting important steps during a procedure, or the location of important information. ...
  • Koganti, Nishanth; Abdul Ghani, Abdul Rahman; Iwasawa, Yusuke; Nakayama, Kotaro; Matsuo, Yutaka (ACM, 2018)
    Learning from Demonstration (LfD) is a paradigm where humans demonstrate the procedure to perform complex tasks which can be used to train autonomous agents. However, the performance of LfD is highly sensitive to the quality ...

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