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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, MSS (Joint) |
2021-03-15 11:35 |
Online | Online | A Study of Human Flow Sensing Method Using Wi-Fi Packets Ryoma Toyomi, Yusuke Fujino, Atsuo Ozaki (OIT)  MSS2020-45 |
In recent years, due to the outbreak of the new coronavirus, there has been a series of cancellations and reductions in ... [more] | MSS2020-45 pp.10-13 |
| IN, NS (Joint) |
2021-03-04 11:20 |
Online | Online | Wireless sensor network charging optimization by multiple chargers considering travel costs Tomoaki Mitsuya, Ryoichi Kawahara (Toyo Univ.) IN2020-64 |
A wireless sensor network is expected to be used in a wide range of situations with less restrictions on sensor placemen... [more] | IN2020-64 pp.61-66 |
| SeMI, IPSJ-MBL, IPSJ-UBI [detail] | 2021-03-02 11:15 |
Online | Online | A Study on Transmission Scheduling of Sensor System Using LPWA for Landslide Indication Detection Satoshi Dehara, Makoto Kobayashi, Koichi Shin, Masahiro Nishi (Hiroshima City Univ) SeMI2020-65 |
In order to promote early evacuation and reduce human causalities in landslide disasters, it is important to detect the ... [more] | SeMI2020-65 pp.41-46 |
| CQ, CBE (Joint) |
2021-01-22 13:20 |
Online | Online | [Invited Lecture]
Stabilization in Remote Robot Systems with Force Feedback Pingguo Huang (Gifu Shotoku Gakuen Univ.), Yutaka Ishibashi (NITech), Takanori Miyoshi (Nagaoka University of Technology) CQ2020-97 |
In this report, we deal with a remote robot system in which a user can operate an industrial robot with a force sensor a... [more] | CQ2020-97 pp.135-139 |
| NS, RCS (Joint) |
2020-12-17 12:15 |
Online | Online | Processing allocation algorithm for distributed deep learning in wireless sensor networks Karin Umeda, Takashi Nishitsuji, Takuya Asaka (Tokyo Metropolitan Univ.), Takumi Miyoshi (Shibaura Inst. of Tech.) NS2020-90 |
In wireless sensor networks, distributed processing technology for deep learning that utilizes edge computing and mobile... [more] | NS2020-90 pp.17-22 |
| ITS, WBS, RCC | 2020-12-15 13:25 |
Online | Online | Vehicle localization method using atmospheric pressure, acceleration, and angular velocity by MEMS sensors. Zul Fiqri Bin Baharin, Takayoshi Yokota (Tottori Univ.) WBS2020-28 ITS2020-24 RCC2020-31 |
This paper proposes a new algorithm for localization of a vehicle based on time series data of altitude, acceleration an... [more] | WBS2020-28 ITS2020-24 RCC2020-31 pp.115-120 |
| SRW, SeMI, CNR (Joint) |
2020-11-26 10:20 |
Online | Online | Performance Evaluation of Efficient collection method of sensor information in wireless sensor network for event detection Taiki Suehiro, Tsuyoshi kobayashi, Osamu takyu, Yasushi Fuwa (Shinshu Univ.) SRW2020-29 |
In order to detect the occurrence of an event in the area， wireless sensor networks are built in various places where m... [more] |
SRW2020-29 pp.25-30 |
| SRW, SeMI, CNR (Joint) |
2020-11-26 17:20 |
Online | Online | [Poster Presentation]
A Study of Reinforcement Learning-Based Automatic Driving Control Using Information of Neighboring Vehicles through Inter-vehicle Communication Harada Tomohiro (TMU), Kiyohiko Hattori (TUT) SeMI2020-34 |
In recent years, with improvements in AI technology and sensor performance, research on automated driving has become ver... [more] | SeMI2020-34 p.75 |
| SRW, SeMI, CNR (Joint) |
2020-11-27 09:20 |
Online | Online | Bandwidth allocation for multiple LIDAR sensors based on spatial importance of point-cloud data Ryo Otsu, Ryoichi Shinkuma, Takehiro sato, Eiji Oki (KU) SeMI2020-36 |
This paper addresses the bandwidth allocation to multiple Light Detection and Ranging (LIDAR) sensors in smart monitorin... [more] | SeMI2020-36 pp.82-87 |
| ITS, IEE-ITS, IPSJ-ITS | 2020-09-08 16:00 |
Online | Online | Desirable ITS communication for safety
-- Sensor and communication fusion, and TsRm evaluation method for overengineering prevention -- Ikkei Hasebe, Takaaki Hasegawa (Saitama Univ) ITS2020-3 |
In this paper, in order to clarify the desired ITS information and communication systems considering both safety and soc... [more] | ITS2020-3 pp.1-8 |
| RECONF | 2020-05-29 10:25 |
Online | Online | FPGA-based human motion estimation based on amalgamated data from multiple sensors Xin Du, Yutaka Shinkai, Mizuki Itoh, Yoshiki Yamaguchi (Tsukuba Univ.) RECONF2020-12 |
This study proposes an FPGA-based system for identifying and estimating human motion by detecting data from sensors in d... [more] | RECONF2020-12 pp.65-70 |
| ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2020-02-27 09:45 |
Hokkaido | Hokkaido Univ. (Cancelled but technical report was issued) |
Subway train location system by Smartphone Using the Acoustic data, Barometric pressure data and Magnetic data Hyeonjae Lee, Takaaki Hasegawa, Tsukasa Kato, Taka Kitamori (Saitama Univ.) ITS2019-30 IE2019-68 |
In this paper, we propose a subway train location system using acoustic data, barometric pressure data, and magnetic dat... [more] | ITS2019-30 IE2019-68 pp.129-134 |
| IT, SIP, RCS | 2020-01-24 12:35 |
Hiroshima | Hiroshima City Youth Center | Basic study and numerical evaluations of sensor node index estimation using received power with maximum likelihood method Hiroki Honda, Kazunori Hayashi (Osaka City Univ.), Hiroki Mori (TOSHIBA) IT2019-73 SIP2019-86 RCS2019-303 |
We propose an estimation method of the correspondence between the position of each sensor node and its index (or identif... [more] | IT2019-73 SIP2019-86 RCS2019-303 pp.215-220 |
| AP | 2019-06-20 14:25 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Study on a VHF-band Small Loop Antenna with Adaptive Control of the Matching Circuit for Heart Rate Sensor Saki Wada, Kengo Nishimoto, Yasuhiro Nishioka, Naofumi Yoneda (Mitsubishi Electric Corp.) AP2019-18 |
Vital signs of the body are related to mental stress conditions. The variation of the R-R interval (peak-to-peak interva... [more] | AP2019-18 pp.19-22 |
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2019-02-20 10:40 |
Hokkaido | Hokkaido Univ. | On the fusion of activity recognition and indoor localization using a smartphone Ryohei Nakajima, Takaki Hasegawa (Saitama Univ.) ITS2018-77 IE2018-98 |
In this paper, we propose a system that improves both estimation accuracy by combining activity recognition and indoor l... [more] | ITS2018-77 IE2018-98 pp.165-170 |
| OCS, OFT, LSJ (Joint) [detail] |
2018-08-31 12:10 |
Hokkaido | Hakodate Hokuyo Building 8Kai Hall | Operation technology for efficient maintenance of underground optical cable Miho Akamatsu, Chihiro Kito, Koji Mine, Takashi Ebine (NTT EAST) OFT2018-12 |
We are developing an efficient maintenance operation system for underground optical cable. Since water penetration gradu... [more] | OFT2018-12 pp.29-32 |
| SC | 2018-06-02 09:25 |
Fukushima | UBIC 3D Theater, University of Aizu | Simultaneous recognition of human activities and locations based on sensor array Shoichi Ichimura, Qiangfu Zhao (Univ. of Aizu) SC2018-11 |
In recent years, smart homes for senior care have attracted great attention in Japan. But a smart home has a privacy iss... [more] | SC2018-11 pp.59-64 |
| SC | 2018-06-02 10:50 |
Fukushima | UBIC 3D Theater, University of Aizu | Arbitrary Location Estimation Using Infrared Sensors by Machine Learning Ryo Ota, Qiangfu Zhao (Univ. of Aizu) SC2018-9 |
This paper is an extension of our earlier study related to construction of a resident-friendly smart home, while protec... [more] |
SC2018-9 pp.47-52 |
| NS, IN (Joint) |
2018-03-02 11:30 |
Miyazaki | Phoenix Seagaia Resort | Rerouting between Cluster Heads in Information-Centric Networking-based Wireless Sensor Network Masafumi Koike, Osamu Mizuno (Kogakuin Univ.) IN2017-128 |
We proposed the wireless sensor network applying ICN(Information-Centric Networking) to provide a variety of M2M service... [more] | IN2017-128 pp.231-236 |
| ASN | 2018-01-31 10:35 |
Oita | Yufugo-kan (Oita) | A study on energy-saving indoor lighting control scheme utilizing outside light estimation in sensor networks environment Kengo Sasaki, Eiji Okamoto (NITech) ASN2017-101 |
In next generation power networks, more energy saving is required. One of the solutions is a location-aware energy distr... [more] | ASN2017-101 pp.103-108 |
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