コロキアムB発表

日時: 9月25日(火)1限(9:20~10:50)


会場: L2

司会: 田中 賢一郎
井上 陽平 M, 2回目発表 インタラクティブメディア設計学 加藤 博一, 清川 清, Christian Sandor, 武富 貴史
 
藤原 徹平 M, 2回目発表 インタラクティブメディア設計学 加藤 博一, 清川 清, Christian Sandor, Alexander Plopski
title: Pre-attentive Contrast Cues by Computer Mediated Reality
abstract: We are studying a device that supports users to get information smoothly from their view by using augumentd reality and image processing technology. When the user sees the real world through a special display, the system only passes the light came from the target object and darkens all other parts except for the target area. The system measures the area to display by image processing in real time. As a result, it is possible to encourge the user to see the target area by emphasizing the result.When you see thing, there is a characteristic to unconsciously see places where there are features compared to the surroundings, so it is thought that moving and gazing at a high speed viewpoint can be realized with no sense of discomfort.
language of the presentation: Japanese
 
LIU YING M, 2回目発表 モバイルコンピューティング 伊藤 実, 安本慶一, 柴田 直樹, Juntao Gao
title: Back-Pressure Based Adaptive Traffic Signal Control and Vehicle Routing with Timely Control Information Update
abstract: Abstract—Back-pressure algorithm has been shown to be effective in reducing traffic congestion. However, available works on back-pressure based traffic control usually ignore the fact that vehicles need time to travel across roads, resulting in inconsistency between controllers’ viewpoint of traffic congestion situation and real traffic situation and thus misleading controllers. In this paper, we propose back-pressure based adaptive traffic signal control and vehicle routing with timely control information update such that controllers always have consistent viewpoint of traffic congestion with real traffic situation and make wise signal control and vehicle routing decisions. As verified by simulations, our algorithm significantly reduces traffic congestion. For example, it reduces average vehicle traveling time by percentage ranging from 71% to 87% under high vehicle arrival rates when compared to other three algorithms.
language of the presentation: English
 

会場: L3

司会: Duong Quang Thang
大須賀 彩希 M, 2回目発表 情報セキュリティ工学 林 優一, 岡田 実, 藤川 和利, 藤本 大介
title: study on threat of security degradation due to noninvasive physical attack on true random number generator
abstract: True random number generators (TRNGs) based on ring oscillators (ROs) are employed in many devices because they can be constructed with a simple circuit structure. Many systems are affected if an RO-based TRNG is attacked, and its security is degraded. In the conventional studies, RO-based TRNGs are degraded randomness by using direct physical access to the target device and/or modification/invasion of the device or the equipment on which it is implemented. This study introduces and demonstrates a noninvasive attack against RO-based TRNGs. In this attack, we intentionally induce disturbance waves and estimating the randomness using side-channel information from the TRNG from a distance. We also consider countermeasures against noninvasive attacks on TRNGs.
language of the presentation: Japanese
 
中川 豊 M, 2回目発表 情報基盤システム学 藤川 和利, 岡田 実, 新井 イスマイル
title: Study on rainfall prediction system using characteristics of radio waves
abstract: Recently, many damage has been caused by heavy rains of guerrillas like successive typhoons and "Western Japan Heavy Rain Disaster", but local prediction is still difficult. For prediction of guerrilla torrential rain, high-performance radar, fine-grained rainfall observation network, and maintenance arrangement of supercomputer are required, but cost is also a problem. In this research, I consider existing equipment or inexpensive sensors and rainfall prediction system useful for disaster prevention using open data.
language of the presentation: Japanese
発表題目: 電波の特性を利用した降雨予測システムの検討
発表概要: 最近、相次ぐ台風や「西日本豪雨災害」のようなゲリラ豪雨により人的被害が多くなっているが、局地的な予測は依然として困難である。ゲリラ豪雨の予測には高性能なレーダおよびきめ細かな雨量の観測網、スパコンの整備配置が必要とされているがコストも課題である。本研究では既設の装置または安価なセンサ、およびオープンデータを用いた防災に役立つ降雨予測システムを検討する。