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

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

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  • コードレビュー作業において頻繁に修正されるソースコード改善内容の分析 
    上田, 裕己; 石尾, 隆; 伊原, 彰紀; 松本, 健一 (日本ソフトウェア科学会, 2020-04-23)
    オープンソースソフトウェアは，多数のパッチからのソースコードの変更提案を受け入れることで高機能・高品質なソフトウェアへと進化している．しかし，パッチ開発者からの変更提案がプロジェクトの実装方針に従っていないことも多く，ソースコードの内容を検証し適切な内容へと改善するために多くの時間コストがかかっている．変更提案の検証コストを削減するためには，パッチ開発者が変更提案前にソースコード上の問題を取り除くことが望ましいが，何を確認しているか具体 ...
  • End-to-End Speech Translation With Transcoding by Multi-Task Learning for Distant Language Pairs 
    Kano, Takatomo; Sakti Sakriani, Watiasri; Nakamura, Satoshi (IEEE, 2020-04-20)
    Directly translating spoken utterances from a source language to a target language is challenging because it requires a fundamental transformation in both linguistic and para/non-linguistic features. Traditional speech-to-speech ...
  • A Low Complexity Joint Encryption-Modulation Method for IoT Sensor Transceivers 
    Hoang, Dai Long; Hong, Tran Thi; Nakashima, Yasuhiko (MDPI, 2020-04-19)
    Physical layer encryption (PLE) is a new research trend for securing data in communication systems. However, conventional procedures in works on PLE are of high complexity and degrade the packet error rate (PER) performance ...
  • Predicting Uninterruptible Durations of Office Workers by Using Probabilistic Work Continuance Model 
    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 ...
  • An Interactive Image Editing System using an Uncertainty-based Confirmation Strategy 
    shinagawa, seitaro; yoshino, koichiro; SEYED HOSSEIN, ALAVI; KALLIRROI, GEORGILA; DAVID, TRAUM; SAKRIANI, SAKTI; Nakamura, Satoshi (IEEE, 2020-03-25)
    We propose an interactive image editing system that has a confirmation dialogue strategy using an entropy-based uncertainty calculation on its generated images with Deep Convolutional Generative Adversarial Networks (DCGAN). ...
  • Exploiting Smart Contracts for Capability-Based Access Control in the Internet of Things 
    Nakamura, Yuta; YuanYu, Zhang; Sasabe, Masahiro; Kasahara, Shoji (MDPI, 2020-03-24)
    Due to the rapid penetration of the Internet of Things (IoT) into human life, illegal access to IoT resources (e.g., data and actuators) has greatly threatened our safety. Access control, which specifies who (i.e., subjects) ...
  • Machine Speech Chain 
    Andros, Tjandra; Sakriani, Sakti; Satoshi, Nakamura (IEEE, 2020-03-02)
    Despite the close relationship between speech perception and production, research in automatic speech recognition (ASR) and text-to-speech synthesis (TTS) has progressed more or less independently without exerting much ...
  • Normal and Malicious Sliding Windows Similarity Analysis Method for Fast and Accurate IDS Against DoS Attacks on In-Vehicle Networks 
    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 ...
  • Blind Watermarking for 3D Printed Objects by Locally Modifying Layer Thickness 
    Arnaud, Delmotte; Tanaka, Kenichiro; Kubo, Hiroyuki; Funatomi, Takuya; Mukaigawa, Yasuhiro (IEEE, 2019-12-25)
    We propose a new blind watermarking algorithm for three-dimensional (3D) printed objects that has applications in metadata embedding, robotic grasping, counterfeit prevention, and crime investigation. Our method can be ...
  • A Generic Approach toward Indoor Navigation and Pathfinding with Robust Marker Tracking 
    Dawar, Khan; Sehat, Ullah; Syed, Nabi (MDPI, 2019-12-17)
    Indoor navigation and localization has gained a key attention of the researchers in the recent decades. Various technologies such as WiFi, Bluetooth, Ultra Wideband (UWB), and Radio-frequency identification (RFID) have ...
  • Non-rigid registration of serial section images by blending transforms for 3D reconstruction 
    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 ...
  • Proof-of-Search: Combining Blockchain Consensus Formation With Solving Optimization Problems 
    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 ...
  • Thermal non-line-of-sight imaging from specular and diffuse reflections 
    Kaga, Masaki; Kushida, Takahiro; Takatani, Tsuyoshi; Tanaka, Kenichiro; Funatomi, Takuya; Mukaigawa, Yasuhiro (Springer Berlin Heidelberg, 2019-11-04)
    This paper presents a non-line-of-sight technique to estimate the position and temperature of an occluded object from a camera via reflection on a wall. Because objects with heat emit far infrared light with respect to ...
  • 限られた保存領域を使用する Java プログラムの実行トレース記録手法 
    嶋利, 一真; 石尾, 隆; 井上, 克郎 (日本ソフトウェア科学会, 2019-10-25)
    本研究では，ソフトウェアの内部状態の分析を行うための，限られた保存領域を効率的に使用する実行トレースの記録手法を提案する．提案手法はプログラムの各命令が使用したデータの最新の系列を，命令ごとに一定個数記録するような領域を個別に作成する．命令ごとの記録個数を調整することで，開発者が保有する保存領域に応じた実行トレースの記録が可能となる．
  • Programmable Non-Epipolar Indirect Light Transport: Capture and Analysis 
    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 ...
  • A Low-Cost Interactive Writing Board for Primary Education using Distinct Augmented Reality Markers 
    Khan, Dawar; Rehman, Inam ur; Ullah, Sehat; Ahmad, Waheed; Cheng, Zhanglin; Jabeen, Gul; Kato, Hirokazu (MDPI AG, 2019-10-16)
    Educational institutions demand cost-effective and simple-to-use augmented reality systems. ARToolKit, an open-source computer tracking library for the creation of augmented reality applications that overlay virtual ...
  • Robust Reflectance Estimation for Projection-Based Appearance Control in a Dynamic Light Environment 
    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 ...
  • Towards large scale high fidelity collaborative augmented reality 
    Damien Constantine, Rompapas; Christian, Sandor; Alexander, Plopski; Daniel Pieter, Saakes; Joongi, Shin; Taketomi, Takafumi; Kato, Hirokazu (Elsevier, 2019-08-27)
    In recent years, there has been an increasing amount of Collaborative Augmented Reality (CAR) expe- riences, classifiable by the deployed scale and the fidelity of the experience. In this paper, we create HoloRoyale, the ...
  • Development of E-mail Delivery Mediation System Based on Interruptibility and Its Evaluation in Daily Office Work Scenario 
    Kobayashi, Yasumasa; Fujimoto, Yuichiro; Fujita, Kinya (IEEE, 2019-07-15)
    Notifications of e-mail arrivals at inappropriate times disrupt workers engaged in intellectual activities and reduce their productivity. We propose an e-mail delivery mediation system to deal with this issue. The system ...
  • Sentiment Classification Using N-Gram Inverse Document Frequency and Automated Machine Learning 
    Rungroj, Maipradit; Hata, Hideaki; Matsumoto, Kenichi (IEEE, 2019-05-29)
    We propose a sentiment classification method with a general machine-learning framework. In comparison to publicly available data sets, our method achieved the highest F1 values in positive and negative sentences on all data sets.

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