DSpace Repository

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

Sort by: Order: Results:

  • Shimari, Kazumasa; Ishio, Takashi; Kanda, Tetsuya; Ishida, Naoto; Inoue, Katsuro (ScienceDirect, 2021-06-01)
    Logging is an important feature of a software system to record run-time information. Detailed logging allows developers to collect run-time information in situations where they cannot use an interactive debugger, such as ...
  • Funatomi, Takuya; Kubo, Hiroyuki; Mukaigawa, Yasuhiro (Elsevier, 2019-12)
    In this research, we propose a novel registration method for three-dimensional (3D) reconstruction from serial section images. 3D reconstructed data from serial section images provides structural information with high ...
  • Ohira, Shuji; Araya, Kibrom Desta; Arai, Ismail; Inoue, Hiroyuki; Fujikawa, Kazutoshi (IEEE, 2020-02-24)
    Controller Area Network (CAN) is a de facto standard of in-vehicle networks. Since CAN employs broadcast communication and a slower network than other general networks (e.g. Ethernet, IEEE802.11), it is inherently vulnerable ...
  • Hidaka, Masato; Kanaya, Yuki; Kawanaka, Shogo; Matsuda, Yuki; Nakamura, Yugo; Suwa, Hirohiko; Fujimoto, Manato; Arakawa, Yutaka; Yasumoto, Keiichi (MDPI, 2020-04-10)
    Recently, due to the drastic increase in foreign tourists coming to Japan, there has been a demand to provide smart tourism services that enable inbound tourists to comfortably enjoy sightseeing. To provide satisfactory ...
  • Ralph, Paul; Baltes, Sebastian; Adisaputri, Gianisa; Torkar, Richard; Kovalenko, Vladimir; Kalinowski, Marcos; Novielli, Nicole; Yoo, Shin; Devroey, Xavier; Tan, Xin; Zhou, Minghui; Turhan, Burak; Hoda, Rashina; Hata, Hideaki; Robles, Gregorio; Fard, Amin Milani; Alkadhi, Rana (Springer Nature, 2020-09-14)
    Context As a novel coronavirus swept the world in early 2020, thousands of software developers began working from home. Many did so on short notice, under difficult and stressful conditions. Objective This study ...
  • Kushida, Takahiro; Tanaka, Kenichiro; Aoto, Takahito; Funatomi, Takuya; Mukaigawa, Yasuhiro (Springer Nature, 2020-04-07)
    Phase ambiguity is a major problem in the depth measurement in either time-of-flight or phase shifting. Resolving the ambiguity using a low frequency pattern sacrifices the depth resolution, and using multiple frequencies ...
  • Nguyen, Tung. T.; Yoshino, Koichiro; Sakti, Sakriani; Nakamura, Satoshi (IEEE, 2020-08-19)
    We study the problem of policy adaptation for reinforcement-learning-based dialog management. Policy adaptation is a commonly used technique to alleviate the problem of data sparsity when training a goal-oriented dialog ...
  • Nishimura, Shogo; Kimata, Daiki; Sato, Wataru; Kanbara, Masayuki; Fujimoto, Yuichiro; Kato, Hirokazu; Hagita, Norihiro (MDPI, 2020-12-21)
    This paper proposes emotion amplification for TV chat agents allowing users to get more excited in TV sports programs, and a model that estimates the excitement level of TV programs based on the number of social comment ...
  • Ono, Taishi; Kubo, Hiroyuki; Tanaka, Kenichiro; Funatomi, Takuya; Mukaigawa, Yasuhiro (Springer Nature, 2019-12)
    In this paper, we present a practical method for reconstructing the bidirectional reflectance distribution function (BRDF) from multiple images of a real object composed of a homogeneous material. The key idea is that the ...
  • Wattanakriengkrai, Supatsara; Thongtanunam, Patanamon; Tantithamthavorn, Chakkrit; Hata, Hideaki; Matsumoto, Kenichi (IEEE, 2020-09-08)
    Defect prediction models are proposed to help a team prioritize source code areas files that need Software Quality Assurance (SQA) based on the likelihood of having defects. However, developers may waste their unnecessary ...
  • SHIRATORI, Shota; FUJIMOTO, Yuichiro; Kinya, FUJITA (The Institute of Electronics, Information and Communication Engineers, 2020-04-01)
    In order not to disrupt a team member concentrating on his/her own task, the interrupter needs to wait for a proper time. In this research, we examined the feasibility of predicting prospective interruptible times of office ...
  • YamamotoI, Tetsuya; Yoshimoto, Junichiro; Murillo-Rodriguez, Eric; Machado, Sergio (Periódicos Eletrônicos em Psicologia, 2020-05)
    Developing an approach to predict happiness based on individual conditions and actions could enable us to select daily behaviors for enhancing well-being in life. Therefore, we propose a novel approach of applying machine ...
  • Kubo, Hiroyuki; Jayasuriya, Suren; Iwaguchi, Takafumi; Funatomi, Takuya; Mukaigawa, Yasuhiro; Narasimhan, Srinivasa G. (IEEE, 2019-10-21)
    The decomposition of light transport into direct and global components, diffuse and specular interreflections, and subsurface scattering allows for new visualizations of light in everyday scenes. In particular, indirect ...
  • Shibata, Naoki (IEEE, 2019-11-28)
    o address the large amount of energy wasted by blockchains, we propose a decentralized consensus protocol for blockchains in which the computation can be used to search for good approximate solutions to any optimization ...
  • Kobayashi, Taisuke (IEEE, 2020-07-17)
    A variational autoencoder (VAE) derived from Tsallis statistics called q-VAE is proposed. In the proposed method, a standard VAE is employed to statistically extract latent space hidden in sampled data, and this latent ...
  • Ishibashi, Yoichi; Sudoh, Katsuhito; Yoshino, Koichiro; Nakamura, Satoshi (一般社団法人言語処理学会, 2021-03-15)
    Word embeddings, which often represent analogic relations such as king − man + woman ≈ queen, can be used to change an attribute of a word, including its gender. To transfer the gender attribute of king to obtain queen in ...
  • Akiyama, Ryo; Yamamoto, Goshiro; Amano, Toshiyuki; Taketomi, Takafumi; Plopski, Alexander; Sandor, Christian; Kato, Hirokazu (IEEE, 2019-09-10)
    We present a novel method for robustly estimating reflectance even in a dynamically changing light environment. To control the appearance of an object by using a projector-camera system, appropriate reflectance estimation ...
  • Ilboudo, Wendyam Eric Lionel; Kobayashi, Taisuke; Sugimoto, Kenji (IEEE, 2020-12-16)
    Remarkable achievements by deep neural networks stand on the development of excellent stochastic gradient descent methods. Deep-learning-based machine learning algorithms, however, have to find patterns between observations ...
  • Murayama, Taichi; Shimizu, Nobuyuki; Wakamiya, Shoko; Aramaki, Eiji (Public Library of Science, 2020-05-21)
    Influenza causes numerous deaths worldwide every year. Predicting the number of influenza patients is an important task for medical institutions. Two types of data regarding influenza-like illnesses (ILIs) are often used ...
  • TALUSAN, JOSE PAOLO V; WILBUR, MICHAEL; DUBEY, ABHISHEK; YASUMOTO1, KEIICHI (IEEE, 2020-10-07)
    Cities are embracing data-intensive applications to maximize their constrained transportation networks. Platforms such as Google offer route planning services to mitigate the effect of traf c congestion. These use remote ...

Search DSpace


Advanced Search

Browse

My Account