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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| HWS, ICD | 2022-10-25 16:40 |
Shiga | (Primary: On-site, Secondary: Online) |
A Study on Small Area HMAC-SHA256 Circuit suitable for CMOS Image Sensor Yu Sekioka, Tatsuya Oyama, Hayato Tatsuno, Kota Yoshida, Shunsuke Okura, Takeshi Fujino (Ritsumeikan Univ)  HWS2022-42 ICD2022-34 |
In order to realize data integrity and authentication for the edge imaging devices and to prevent the image information ... [more] | HWS2022-42 ICD2022-34 pp.70-75 |
| SeMI, IPSJ-DPS, IPSJ-MBL, IPSJ-ITS | 2022-05-26 16:42 |
Okinawa | (Primary: On-site, Secondary: Online) |
Feasibility study on blockchain system for real-time streaming data from image sensor networks Kensei Hirai, Kuon Akiyama, Ryouiti Shinkuma (SIT), Aramu Mine (Gaiax) SeMI2022-8 |
This report proposes an edge system of a blockchain network that writes streaming data sent from Light Detection and Ran... [more] | SeMI2022-8 pp.36-39 |
| CS | 2017-11-17 10:00 |
Kumamoto | Aso Plaza Hotel | N -Stream Superimposed System with m-point DFT for Visible Light Communication Syuto Kibe, Koji Kamakura (CIT), Takaya Yamazato (Nagoya Univ.) CS2017-58 |
This paper proposes an ${N}$-stream superimposed system for image-sensor-based visible light communications (IS-based V... [more] |
CS2017-58 pp.21-26 |
| SC | 2017-03-10 15:05 |
Tokyo | National Institute of Informatics | Study of Vital Data Analysis Platform Using Wearable Sensor Yoji Yamato (NTT) SC2016-34 |
In this paper, we propose a vital data analysis platform which resolves existing problems to utilize vital data for real... [more] | SC2016-34 pp.33-37 |
| RCS, SR, SRW (Joint) |
2017-03-01 14:00 |
Tokyo | Tokyo Institute of Technology | [Invited Lecture]
Wi-SUN Communications enabling Intelligent Sensor Node Solutions Thomas Joyce (ADI) SRW2016-76 |
With the advent of advanced ultralow power processors that have high processing power, sophisticated edge computing of r... [more] | SRW2016-76 pp.47-52 |
| IA | 2016-11-09 17:30 |
Hokkaido | Onuma International Seminar Hous | Study of a Load Distribution Technique by Relay Nodes for Sensor Data Stream Collection Systems Tomoya Kawakami (NAIST), Yoshimasa Ishi, Tomoki Yoshihisa (Osaka Univ), Yuuichi Teranishi (NICT/Osaka Univ.) IA2016-62 |
In this paper, we describe a load distribution method using relay nodes in periodical sensor data collection systems. Co... [more] | IA2016-62 pp.35-39 |
| RCC, ASN, RCS, NS, SR (Joint) |
2015-07-29 16:15 |
Nagano | JA Naganoken Bldg. | Senbay: Smartphone-Based Activity Capturing and Sharing Platform using Sensor-Data Embedded Video Yuuki Nishiyama, Takuro Yonezawa, Jin Nakazawa, Hideyuki Tokuda (Keio University) ASN2015-29 |
We present Senbay, a novel smartphone-based platform for capturing and sharing synchronously-recorded video/sensor data ... [more] | ASN2015-29 pp.49-54 |
| CS | 2014-11-07 09:45 |
Hokkaido | Shiretoko (Hokkaido) | Layered Space-Time Coding Using LED Array for Image-Sensor-Based Visible Light Communications Kastunori Ebihara, Koji Kamakura (CIT), Takaya Yamazato (Nagoya Univ.) CS2014-67 |
This paper demonstrates the feasibility of layered space-time coding (STC) in an outdoor image-sensor-based (IS-based) ... [more] |
CS2014-67 pp.81-86 |
| IN | 2014-06-27 10:00 |
Kagawa | Kagawa Univ. | Design of Communication Architecture to Support Stream-data over Content Centric Networking Kenya Kawasaki (Osaka Univ.), Shingo Ata (Osaka City Univ.), Masayuki Murata (Osaka Univ.) IN2014-24 |
In recent years, Future Internet is highly expected as an evolution of IP networks. Content Centric Networking (CCN) is... [more] |
IN2014-24 pp.49-54 |
| IN, NV (Joint) |
2013-07-18 13:00 |
Hokkaido | Hokkaido Univ. Faculty of Eng. Academic Lounge 3 | A Load Distribution Method Considering the Number of Hops on P2P Sensor Data Stream Delivery System Tomoya Kawakami (Kobe Univ.), Yoshimasa Ishi, Tomoki Yoshihisa (Osaka Univ.), Yuuichi Teranishi (NICT/Osaka Univ.) IN2013-39 |
Due to the prevalence of sensors such as security cameras or environmental monitoring, sensor data stream delivery which... [more] | IN2013-39 pp.19-24 |
| IA, ICSS | 2013-06-21 11:05 |
Niigata | Ao-re Nagaoka | An Evaluation of Load Distribution Method on Multi-Source P2P Sensor Data Stream Delivery System Tomoya Kawakami (Kobe Univ.), Yoshimasa Ishi, Tomoki Yoshihisa (Osaka Univ.), Yuuichi Teranishi (NICT/Osaka Univ.) IA2013-11 ICSS2013-11 |
Due to the prevalence of sensors such as security cameras or environmental monitoring, sensor data stream delivery which... [more] | IA2013-11 ICSS2013-11 pp.61-66 |
| HIP, HCS, HI-SIGCOASTER [detail] | 2013-05-31 11:10 |
Okinawa | Okinawa Industry Support Center | Spatio-temporal Data Mining on Turn-taking and Mental Workload between Collaborative Learners Katsunori Oyama, Masato Kaneko, Atsushi Takeuchi (Nihon Univ.) HCS2013-19 HIP2013-19 |
This study argues visualization method for monitoring changing situation of communication in a development team. A conce... [more] | HCS2013-19 HIP2013-19 pp.129-134 |
| NS, RCS (Joint) |
2012-12-13 09:20 |
Ehime | Ehime Univ. | A Delivery Method for Sensor Data Stream Based on Load Estimation from Collection Cycles Tomoya Kawakami, Yoshimasa Ishi, Tomoki Yoshihisa (Osaka Univ), Yuuichi Teranishi (NICT/Osaka Univ) NS2012-118 |
Due to the prevalence of sensors such as security cameras or environmental monitoring, sensor data stream delivery which... [more] | NS2012-118 pp.7-12 |
| IA | 2010-12-17 17:05 |
Tokyo | Room1, B3F, Kikai-Shinko-Kaikan Bldg | Decision of dataflow based on structure of LAN in data stream processing Hironori Kawaguchi, Hideya Ochiai, Hiroshi Esaki (The Univ. of Tokyo) IA2010-70 |
The number of sensors and actuators in building automation system has been increasing. With this increasing, the data fl... [more] | IA2010-70 pp.73-76 |
| DE | 2010-06-28 11:25 |
Aichi | Nagoya Univ. | [Invited Talk]
Stream Data Processing and Its Applications Itaru Nishizawa, Tsuneyuki Imaki, Satoshi Katsunuma, Keiro Muro (Hitachi) DE2010-5 |
Emerging new devices such as sensors and RFIDs produce huge amount of data, and modern data processing systems must hand... [more] | DE2010-5 p.25 |
| DE | 2010-06-28 15:20 |
Aichi | Nagoya Univ. | [Invited Talk]
Sensor Data Processing System for Automotive Driving Environment Recognition Kenya Sato (Doshisha Univ./Nagoya Univ.) DE2010-10 |
Vehicle integrated control systems providing safe driving and danger warning to drivers are appeared recently. The syste... [more] | DE2010-10 pp.51-56 |
| NS, IN (Joint) |
2010-03-05 09:10 |
Miyazaki | Miyazaki Phoenix Seagaia Resort (Miyazaki) | On Distributed Sampling Storage for Sensor Data Mining
-- focusing on basic behavior analysis of statistics -- Hiroshi Sato, Takeru Inoue, Takahiro Yamazaki, Yohei Katayama, Noriyuki Takahashi (NTT) IN2009-183 |
Thanks to advances in sensor devices and networking technologies, it is becoming possible to retrieve the statuses of pe... [more] | IN2009-183 pp.235-240 |
| SIS | 2008-12-04 14:55 |
Osaka | Kansai Univ. | [Invited Talk]
A Decade after Smart Dust: The Current Status and Challenges for Wireless Sensor Networks Shunsuke Saruwatari (Tokyo Univ.) |
A decade has passed since the concept of Smart Dust presented at MobiCom 1999. At that time, the main stream of the stud... [more] | SIS2008-52 pp.57-62 |
| DE | 2008-12-01 | Tokyo | Gakushuin | [Poster Presentation]
A Heterogeneous Data Stream Integration Infrastructure: StreamSpinner Kousuke Ohki, Takuro Yamaguchi (Univ. of Tsukuba), Yousuke Watanabe (Tokyo Tech), Hiroyuki Kitagawa, Hideyuki Kawashima, Hiroaki Shiokawa (Univ. of Tsukuba) DE2008-75 |
This poster presentation presents a heterogeneous data stream integration infrastructure, StreamSpinner which we have de... [more] | DE2008-75 p.55 |
| USN, AN (Joint) |
2007-10-30 10:30 |
Aichi | Noyori Conference Hall, Nagoya Univ. | Visualization of Meetings by Stream Data Processing of Voices Tsuneyuki Imaki, Nobuo Sato, Norihiko Moriwaki, Itaru Nishizawa, Masashi Egi, Toshihiko Kashiyama (Hitachi, Ltd.) USN2007-40 |
Emerging RFID technology and sensor network systems produce huge amount of data, and modern enterprise data processing s... [more] | USN2007-40 pp.25-30 |
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