Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SRW, MICT, WBS |
2023-07-20 14:40 |
Niigata |
Niigata Univ. TOKIMATE (Primary: On-site, Secondary: Online) |
[Poster Presentation]
RFID Wireless Vibration and Shock Sensor System using Machine Learning Song Zequn (Ibaraki Univ.), Budi Rahmadya (Andalas Univ.), Ran Sun, Shigeki Takeda (Ibaraki Univ.) WBS2023-18 SRW2023-16 MICT2023-15 |
This paper presents a feasibility study on monitoring earthquake-caused furniture vibrations using RFID sensor tags. Fin... [more] |
WBS2023-18 SRW2023-16 MICT2023-15 pp.21-25 |
SRW, SeMI, CNR (Joint) |
2022-11-24 13:40 |
Tochigi |
Epinard Nasu (Primary: On-site, Secondary: Online) |
A Study on Multiuser Wireless Powered MIMO Relay Transmission with Interference Keita Hayashi, Shigenobu Sasaki (Niigata Univ) SRW2022-18 |
In this paper, multiuser wireless powered MIMO relay transmission is investigated for potential wireless sensor networks... [more] |
SRW2022-18 pp.13-18 |
CAS, CS |
2021-03-02 13:00 |
Online |
Online |
An Evaluation about Usefulness of IEEE 802.11ah using both User Traffic and Control Packets Tomoyuki Oku (Hitachi) CAS2020-81 CS2020-88 |
The purpose of this study is to build a private data transmission environment that enables real-time monitoring of servi... [more] |
CAS2020-81 CS2020-88 pp.53-58 |
SeMI |
2021-01-21 14:10 |
Online |
Online |
[Poster Presentation]
A monitoring system using BLE advertising packets for estimating congestion degree on university campuses Tomoki Mukaida, Yoshiaki Taniguchi, Youji Ochi, Nobukazu Iguchi (Kindai Univ.) SeMI2020-54 |
Various efforts are being made around the world to prevent the spread of COVID-19 infections.
In this report, we propos... [more] |
SeMI2020-54 pp.63-68 |
CS, IN, NS, NV (Joint) |
2020-09-11 14:35 |
Online |
Online |
Development of an Independent Wind Power Supply that Enables to Collect Large Amount of Data in an IoT System Fumio Teraoka (Keio Univ.), Shinichi Nishiura (Nishikaze Giken), Hiroyuki Ohno (Kanazawa Univ.) IN2020-29 |
In an IoT (Internet of Things) system, available information content will extremely be increased if still image content ... [more] |
IN2020-29 pp.43-48 |
RCS, SR, SRW (Joint) |
2018-03-02 10:30 |
Kanagawa |
YRP |
Analysis of CSL Low Power MAC Protocol for Wireless Smart Metering Networks Kai Samejima, Ryota Okumura, Takuya Habara, Mizutani Keiichi, Hiroshi Harada (Kyoto Univ.) SRW2017-87 |
Cyber physical system(CPS)is the system that collects and analyzes data from the real world, and then improves efficienc... [more] |
SRW2017-87 pp.87-92 |
NS, ASN, RCC, RCS, SR (Joint) |
2017-07-21 09:15 |
Hokkaido |
Hokkaido Univ. |
Analysis of Classification Accuracy and Distinguishability for Subsampling in Active Sensing Tin Petrovic, Hiroyuki Morikawa (Univ. of Tokyo) ASN2017-51 |
In this paper we continue our previous research on classification of electric loads in a smart house towards improving t... [more] |
ASN2017-51 pp.187-192 |
MoNA, ASN, IPSJ-MBL, IPSJ-UBI [detail] |
2017-03-10 11:20 |
Tokyo |
University of Tokyo (Hongo Campus) |
Evaluation of Active Sensing Classification for Household Appliances Tin Petrovic, Hiroyuki Morikawa (UTokyo) ASN2016-94 |
Household appliances and plug in loads amount to between a quarter to a third of household electric demand while often b... [more] |
ASN2016-94 pp.241-246 |
EE |
2017-01-26 11:35 |
Nagasaki |
Nagasaki University |
Problem reports on Independent Power Supply System of Wireless Sensor Network Yuki Nishikawa, Takuya Sasamura, Yoichi Ishizuka, Satoshi Sugimoto, Tomoyuki Fujishima, Takafumi Fujimoto, Shohei Iwasaki (Nagasaki Univ.), Kouji Kurihara, Koichirou Yamashita (Fujitsu Lab) EE2016-53 |
In this paper, some power-related incidents of Wireless Sensor Network(WSN) with independent power supply system. This r... [more] |
EE2016-53 pp.27-32 |
ASN |
2016-05-12 15:20 |
Tokyo |
|
[Invited Lecture]
Wireless sensor network system in building facilities use Akihiro Shimizu (Takasago Thermal Engineering) ASN2016-7 |
Participated in the NEDO joint research project was conducted from 2011 to 2014 (The sensor system development project t... [more] |
ASN2016-7 pp.35-38 |
RCS, CCS, SR, SRW (Joint) |
2016-03-02 15:30 |
Tokyo |
Tokyo Institute of Technology |
[Invited Lecture]
Wi-SUN RLMM Profile for Sensor Network Application Ryota Yamada (OMRON) SRW2015-82 |
Wi-SUN RLMM (Resource Limited Monitoring and Management) Profile is one of Wi-SUN Profile which is under development. Wi... [more] |
SRW2015-82 pp.69-74 |
WBS, MICT |
2015-07-21 14:40 |
Nara |
Nara Institute of Science and Technology |
[Invited Talk]
Radio-On-Demand Networks: Field Trial and Applications to Mobile Sensing Hiroyuki Yomo (Kansai Univ.), Tetsuya Ito (NEC Communication Systems), Akio Hasegawa (ATR), Takeshi Ikenaga (Kyushu Institute of Technology) WBS2015-20 MICT2015-24 |
Realizing energy-efficiency is a key to expanding the application area of wireless networks. In order to reduce energy c... [more] |
WBS2015-20 MICT2015-24 pp.41-46 |
RCS, SR, SRW (Joint) |
2015-03-04 11:15 |
Tokyo |
Tokyo Institute of Technology |
Optimal Monitoring of Power Variation in a Wireless Frame Collision Detection System Peter Davis (Telecognix), Peng Shao, Yuki Baba, Akira Matsumoto (NEC Comm. Sys.) SR2014-116 |
The detection of frame collisions by monitoring changes in signal strength is a promising technique that can enable more... [more] |
SR2014-116 pp.37-43 |
MoNA, ASN, IPSJ-MBL, IPSJ-UBI (Joint) [detail] |
2015-03-03 11:25 |
Tokyo |
Shibaura Institute of Technology(Toyosu Campus) |
An lmprementation and Evaluation of WSN with Solar-power Generation for Disaster Prevention Kengo Takahashi, Misaki Nakashita, Ryoma Kondo, Masayuki Iwai (Tokyo Denki Univ.) MoNA2014-101 |
The disaster prediction systems, e.g., earthquake sensor and landslide monitoring systems, have been studied increasingl... [more] |
MoNA2014-101 pp.223-227 |
CS |
2014-11-06 08:45 |
Hokkaido |
Shiretoko (Hokkaido) |
Sleep Timing Adjusting Scheme for High Packet Delivery Rate in Bridge Monitoring by Energy Harvesting Yu Usami, Kentaroh Toyoda, Iwao Sasase (Keio Univ.) CS2014-57 |
Energy harvesting technology which converts environmental energy e.g. solar or vibration has received much attention. In... [more] |
CS2014-57 pp.19-24 |
SRW |
2014-08-18 11:10 |
Kanagawa |
NICT(YRP) |
[Invited Talk]
Application of micro-scale energy harvesting to wireless sensor system Takakuni Douseki (Ritsumeikan Univ.) SRW2014-16 |
Micro-scale energy harvesting that utilizes ambient energy sources, such as the light, kinetic, and thermal energy sourc... [more] |
SRW2014-16 pp.1-6 |
ASN, MoNA (Joint) |
2014-01-23 10:40 |
Ehime |
Hotel Okudogo (Matsuyama) |
SlowMAC: Receiver Initiated MAC Protocol toward Low Dutycycle and Low Data Losses Kenichi Yasukata, Jin Nakazawa, Kazunori Takashio, Hideyuki Tokuda (Keio Univ.) ASN2013-120 |
In Wireless Sensor Networks, sensor node's readio module is the
major energy consumer.
MAC layer
controls the radio m... [more] |
ASN2013-120 pp.11-16 |
RCS, NS (Joint) |
2013-12-20 15:45 |
Kagawa |
Sunport Hall Takamatsu |
Dynamic Task Scheduling for Energy Harvesting Nodes in Wireless Sensor Networks Akifumi Maeda (Kyoto Univ.), Shoji Kasahara (NAIST), Yutaka Takahashi (Kyoto Univ.) NS2013-161 |
In this paper, we propose a task scheduling algorithm which performs fair and periodic data collection from all nodes in... [more] |
NS2013-161 pp.155-160 |
NS, CS, IN (Joint) |
2013-09-12 10:20 |
Miyagi |
Tohoku Univ. Research Institute of Electrical Communication 2gokan |
A Proposal of Estimation Method of Utilization of Electrical Equipment by Using Smart Metering Taro Yoshino, Satoru Izumi, Toru Abe, Takuo Suganuma (Tohoku Univ.) IN2013-58 |
We have been investigating an estimation method of human behavior based on monitoring living conditions for effective en... [more] |
IN2013-58 pp.1-5 |
DE, IPSJ-DBS, IPSJ-IFAT |
2013-07-22 11:40 |
Hokkaido |
Hokkaido University |
DKS: Denryoku Kashika System
-- A Cloud-based Sensor Monitoring and Visualization System for Saving Electricity -- Hiroyuki Makino, Syunsuke Kurihara, Yosuke Aragane, Masami Ueno (NTT) DE2013-20 |
For the demand of peak reduction and company-wide management of electric power, we design DKS (electric power visualizat... [more] |
DE2013-20 pp.25-30 |