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Browsing 先端科学技術研究科 / Graduate School of Science and Technology by Title

Browsing 先端科学技術研究科 / Graduate School of Science and Technology by Title

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  • 4D light field segmentation with spatial and angular consistencies 
    Mihara, Hajime; Funatomi, Takuya; Tanaka, Kenichiro; Kubo, Hiroyuki; Mukaigawa, Yasuhiro; Nagahara, Hajime (IEEE, 2016-05-16)
    In this paper, we describe a supervised four-dimensional (4D) light field segmentation method that uses a graph-cut algorithm. Since 4D light field data has implicit depth information and contains redundancy, it differs ...
  • 9.6 million links in source code comments: purpose, evolution, and decay 
    Hata, Hideaki; Christoph, Treude; Raula, Gaikovina Kula; Ishio, Takashi (IEEE Press Piscataway, NJ, USA ©2019, 2019-05-25)
    Links are an essential feature of the World Wide Web, and source code repositories are no exception. However, despite their many undisputed benefits, links can suffer from decay, insufficient versioning, and lack of ...
  • A Communication Robot for Playing Video Games Together to Boost Motivation for Daily-use 
    Kanda, Shogo; Sawabe, Taishi; Kanbara, Masayuki; Fujimoto, Yuichiro; Kato, Hirokazu (IEEE Press, 2022-03-07)
    Nowadays, decreasing opportunities for people to have daily conversations due to the increase in the number of withdrawn young people and households living alone. The lack of daily conversation has been pointed out as a ...
  • A Framework for Transit Monitoring System Using IoT Technology: Two Case Studies 
    El-Tawab, Samy; Arai, Ismail; Salman, Ahmad; Park, B. Brian (IEEE, 2020-08-04)
    With the fast increase of wireless technology, more new applications are developed targeting smart cities. It is clear that soon-to-be, each city will be covered with wireless capabilities besides the 5G cellular technology. ...
  • A performance investigation of thermal infrared camera and optical camera for searching victims with an unmanned aerial vehicle: poster abstract 
    Harada, Koji; Arai, Ismail; Kashihara, Shigeru; Fujikawa, Kazutoshi (ACM, 2020-11)
    In search and rescue (SAR) operation, the potential of Unmanned Aerial Vehicles (UAVs) gathers great attention. Existing studies have made various experiments to find victims by a UAVs with a single sensor, e.g., one of ...
  • Acquiring and Characterizing Plane-to-Ray Indirect Light Transport 
    Kubo, Hiroyuki; Jayasuriya, Suren; Iwaguchi, Takafumi; Funatomi, Takuya; Mukaigawa, Yasuhiro; G. Narasimhan, Srinivasa (2018-05-31)
    Separation of light transport into direct and indirect paths has enabled new visualizations of light in everyday scenes. However, indirect light itself contains a variety of components from subsurface scattering to diffuse ...
  • Acquiring Curvature-Dependent Reflectance Function from Translucent Material 
    Okamoto, Midori; Kubo, Hiroyuki; Mukaigawa, Yasuhiro; Ozawa, Tadahiro (IEEE, 2016-07-08)
    Acquiring scattering parameters from real objects is still a challenging work. To obtain the scattering parameters, physics-based analysis is ineffective because huge computational cost is required to simulate subsurface ...
  • An Evaluation of SC-FDMA Signal Transmission in Radio over Fiber Mobile Fronthaul 
    Fito, Herminawan; Higashino, Takeshi; Okada, Minoru (IEEE, 2020-05-22)
    This paper investigates a transmission efficiency dependent on location of a receiver for large-scale wireless power transfer (WPT) system using parallel line feeder. Many researches usually employ electromagnetic field ...
  • AR-PETS: Development of an Augmented Reality Supported Pressing Evaluation Training System 
    Alexander, Plopski; Mori, Ryosuke; 武富, 貴史; Christian, Sandor; 加藤, 博一 (Springer, Cham, 2018-06-02)
    With age, changes to the human nervous system lead to a decrease in control accuracy of extremities. Especially, reduced control over the fingers gravely affects a person’s quality of life and self-reliance. It is possible ...
  • Automatic Classifying Self-Admitted Technical Debt Using N-Gram IDF 
    Supatsara, Wattanakriengkrai; Napat, Srisermphoak; Sahawat, Sintoplertchaikul; Morakot l, Choetkiertiku; Chaiyong, Ragkhitwetsagul; Thanwadee, Sunetnanta; Hata, Hideaki; Matsumoto, Kenichi (IEEE, 2019-12-05)
    Technical Debt (TD) introduces a quality problem and increases maintenance cost since it may require improvements in the future. Several studies show that it is possible to automatically detect TD from source code comments ...
  • Automatically Customizing Static Analysis Tools to Coding Rules Really Followed by Developers 
    Ueda, Yuki; Ishio, Takashi; Matsumoto, Kenichi (IEEE, 2021-05-11)
    Automatic Static Analysis Tools (ASATs) detect coding rule violations, including mistakes and bad practices that frequently occur during programming. While ASATs are widely used in both OSS and industry, the developers do ...
  • Coordination Boundary Identification without Labeled Data for Compound Terms Disambiguation 
    Sawada, Yuya; Wada, Takashi; Shibahara, Takayoshi; Teranishi, Hiroki; Kondo, Shuhei; Shindo, Hiroyuki; Watanabe, Taro; Matsumoto, Yuji (International Committee on Computational Linguistics, 2020-12)
    We propose a simple method for nominal coordination boundary identification. As the main strength of our method, it can identify the coordination boundaries without training on labeled data, and can be applied even if ...
  • CovRelex: A COVID-19 Retrieval System with Relation Extraction 
    Tran, Vu; Tran, Van-Hien; Nguyen, Phuong Minh; Nguyen, Chau Minh; Satoh, Ken; Matsumoto, Yuji; Nguyen, Minh Le (Association for Computational Linguistics, 2021-04)
    This paper presents CovRelex, a scientific paper retrieval system targeting entities and relations via relation extraction on COVID-19 scientific papers. This work aims at building a system supporting users efficiently in ...
  • CovRelex: A COVID-19 Retrieval System with Relation Extraction 
    Tran, Vu; Tran, Van-Hien; Nguyen, Phuong; Nguyen, Chau; Satoh, Ken; Matsumoto, Yuji; Nguyen, Minh (Association for Computational Linguistics, 2021-04)
    This paper presents CovRelex, a scientific paper retrieval system targeting entities and relations via relation extraction on COVID-19 scientific papers. This work aims at building a system supporting users efficiently in ...
  • DataLoc+: A Data Augmentation Technique for Machine Learning in Room-Level Indoor Localization 
    Hilal, Amr; Arai, Ismail; El-Tawab, Samy (IEEE, 2021-05-05)
    Indoor localization has been a hot area of research over the past two decades. Since its advent, it has been steadily utilizing the emerging technologies to improve accuracy, and machine learning has been at the heart of ...
  • Designing Efficient Neural Attention Systems Towards Achieving Human-level Sharp Vision 
    Abdul Ghani, Abdul Rahman; Koganti, Nishanth; Solano, Alfredo; Iwasawa, Yusuke; Nakayama, Kotaro; Matsuo, Yutaka (ICLR 2018, 2018)
    Human vision is capable of focusing on subtle visual cues at high resolution by relying on a foveal view coupled with an attention mechanism. Recently, there have been several studies that proposed deep reinforcement ...
  • Divider: Delay-Time Based Sender Identification in Automotive Networks 
    Ohira, Shuji; Araya, Kibrom Desta; Kitagawa, Tomoya; Fujikawa, Kazutoshi; Arai, Ismail (IEEE, 2020-07-17)
    Controller Area Network (CAN) is one of the in-vehicle network protocols that is used to communicate among Electronic Control Units (ECUs) and has been de-facto standard. CAN is simple and has several vulnerabilities such ...
  • DOCOR: Sensing Everything From Route Buses 
    Arai, Ismail; Kametani, Masahiro; Honda, Norihiko; Akiyama, Toyokazu (IEEE, 2020-10-13)
    With the spreading of digital tachographs for transportation systems, IoT is coming to route bus fields as well. The primary purpose is to make an operation of route buses efficient by glancing over the status of the bus ...
  • Effect of Display Location on Finger Motor Skill Training with Music-Based Gamification 
    Inoue, Naoki; Fujimoto, Yuichiro; Plopski, Alexander; Okahashi, Sayaka; Kanbara, Masayuki; Hsu, Hsiu-Yun; Kuo, Li-Chieh; Su, Fong-Chin; Kato, Hirokazu (Springer, Cham, 2020-07-10)
    The motor control of individual fingers is an important part of daily life, but there are many people who have difficulty with it, such as elderly people and stroke patients. While continuous rehabilitation is necessary ...
  • Effectiveness of Virtual Reality Playback in Public Speaking Training 
    Zhou, Hangyu; Fujimoto, Yuichiro; Kanbara, Masayuki; Kato, Hirokazu (ACM, 2020-10)
    In this paper, factors with positive effects in the playback of virtual reality (VR) presentation in training are discussed. To date, the effectiveness of VR public speaking training in both anxiety reduction and skills ...

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