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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SeMI, IPSJ-UBI, IPSJ-MBL | 2024-02-29 15:50 |
Fukuoka | Development and Evaluation of the Water Flow Prediction Model for Remote Control of Sluice Gates in the Onga River Takahiro Ueno (Fukuoka Univ.), Koki Ozono (AJP), Masayoshi Ohashi (Fukuoka Univ.)  SeMI2023-77 |
Our laboratory is engaged in the research and development of a system for the remote control and monitoring of sluice ga... [more] | SeMI2023-77 pp.37-41 |
|
| WIT, HI-SIGACI | 2023-12-07 15:15 |
Tokyo | AIST Tokyo Waterfront (TBD) | Cooking support system for visually impaired
-- A study on fresh food management support system for refrigerators -- Asuka Morita, Shun-ichi Yonemura (SIT) WIT2023-36 |
For visually impaired, managing fresh food in the refrigerator comes with various difficulties. Visually impaired manage... [more] | WIT2023-36 pp.64-69 |
| ED, IEE-BMS, IEE-MSS | 2022-08-18 10:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. B3-2 (Primary: On-site, Secondary: Online) |
Measurement of beating cardiomyocyte using MEMS force sensors Ryota Ikegami, Takuya Tsukagoshi (TPU), Kenei Matsudaira, Kayoko Hirayama-Shoji (UT), Hidetoshi Takahashi (KO), Thanh-Vinh Nguyen (AIST), Takumi Tamamoto (FIT), Li Fengyu, Kentaro Noda, Kenichi Koyanagi, Toru Oshima, Isao Shimoyama (TPU) ED2022-17 |
(To be available after the conference date) [more] | ED2022-17 pp.1-4 |
| MICT, WBS | 2022-07-25 15:25 |
Okayama | Okayama Prefectural University | Theoretical analysis of packet success rate considering packet synchronization timing gaps on energy-efficient on-demand WSNs Masanori Suetake, Hiromasa Habuchi (Ibaraki Univ.) WBS2022-32 MICT2022-32 |
In on-demand wireless sensor networks (WSNs), a method has been proposed to improve packet success rate (PSR) performanc... [more] | WBS2022-32 MICT2022-32 pp.88-93 |
| OPE, OFT, OCS (Joint) [detail] |
2022-02-24 14:05 |
Online | Online | Response Evaluation of a Hands-free Swallowing Test Device Using a Hetero-core Fiber Optic Pressure Sensor Masanori Maeda, Miyuki Kadokura, Ryoko Aoki (Soka Univ.), Masaru Kawakami (JMU), Yuya Koyama (CIT), Michiko Nishiyama, Kazuhiro Watanabe (Soka Univ.) OFT2021-71 OPE2021-50 |
In this paper, we evaluated the response of a non-invasive hands-free swallowing test device using a hetero-core fiber o... [more] | OFT2021-71 OPE2021-50 pp.9-12 |
| OFT | 2021-10-14 10:30 |
Online | Online | [Poster Presentation]
Fiber-optic strain vector detection using copolymer core doped with cyan dichroic dye Hayato Yamazaki (UEC), Kentaro Yano (Hayashibara Co., Ltd.), Rei Furukawa (UEC) OFT2021-28 |
Dye-doped polymer optical fiber (POF) having a polarization-maintaining function fabricated using a birefringence-reduce... [more] | OFT2021-28 pp.29-32 |
| RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-15 09:25 |
Online | Online | Development and Evaluation of a Smart Tap Sensor Network for Observing Household Behavior Ryuichi Inoue, Hiroshi Yamamoto (Ritsumeikan Univ.) NS2021-41 |
In recent years, the devices targeting the smart home have rapidly been spreading and have been expected to be applied t... [more] | NS2021-41 pp.45-50 |
| ED | 2021-02-22 13:25 |
Online | Online | ED2020-39 |
A surface stress sensor fabricated by MEMS technology can detect biomacromolecules such as protein with label- free mann... [more] | ED2020-39 pp.5-8 |
| ED | 2021-02-22 14:30 |
Online | Online | Heart Beat Measurement of Human iPS Cell-Derived Cardiomyocytes using a MEMS Force Sensor Reita Ikegami, Takuya Tsukagoshi, Kentaro Noda, Takumi Tamamoto, Ken'ichi Koyanagi, Toru Oshima (Toyama Pref. Univ.), Kenei Matsudaira (Univ. Tokyo), Isao Shimoyama (Toyama Pref. Univ.) ED2020-40 |
The heartbeat of human iPS cell-derived cardiomyocytes was measured using a piezoresistive force sensor. The cells were ... [more] | ED2020-40 pp.9-11 |
| CQ, CBE (Joint) |
2021-01-21 16:00 |
Online | Online | [Poster Presentation]
In-home Behavior Observation System Using Thread Mesh Network Ryuichi Inoue, Hiroshi Yamamoto (Ritsumeikan Univ.) CQ2020-76 |
To realize a smart home that can effectively watch over residents and control energy consumption, the technology for rec... [more] | CQ2020-76 pp.66-67 |
| CPM | 2020-02-29 11:15 |
Tokyo | Presentation Rm., KCB01, Tokyo Univ. of Technol. (Cancelled but technical report was issued) |
Fabrication of two-dimensional pressure mapping sensors based on organic ferroelectric films Shintaro Matsumoto, Daisuke Tadaki, Shin Yamamiya, Teng Ma (Tohoku Univ.), Yuji Imai (NIT Sendai), Ayumi Hirano-Iwata (Tohoku Univ.), Michio Niwano (Tohoku Fukushi Univ.) CPM2019-107 |
A mapping sensor for measuring pressure at multiple points has been developed for application to tactile sensors such as... [more] | CPM2019-107 pp.61-63 |
| ED | 2019-08-06 14:20 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Multi-axial force tactile sensor using piezoresistor Kentaro Noda (Toyama Pref. Univ.) ED2019-28 |
In this paper, we propose a skin-type tactile sensor which can measure a micro size texture of an object by scanning its... [more] | ED2019-28 pp.5-8 |
| HPB (2nd) |
2019-02-15 15:10 |
Tokyo | Estimation of a running condition of factory equipments by using the C3-less power sensor Takaya Yoshitake, Shinichiro Mito (NITTC) |
We developed a batteriy-less, non-contact, wire-less power sensor (C3 - less power sensor)and evaluated . In this study,... [more] | ||
| MoNA | 2018-12-25 16:40 |
Tokyo | Improvement and Evaluation of Sleeping Monitoring System for Evacuees’ Health Management in Case of Disaster Masato Abe, Gyoda Koichi (Shibaura Inst. of Tech.) MoNA2018-54 |
For the purpose of self-health management of victims whose house is collapsed by a disaster and force to evacuate in the... [more] | MoNA2018-54 pp.91-94 |
|
| MBE, NC (Joint) |
2018-05-19 13:25 |
Toyama | Univ. of Toyama | A 3D motion capture-based analysis of food capturing with a spoon Ryusuke Sakurai, Toyohiko Hayashi, Yuki Nakamura, Tsutomu Nakajima, Yuuki Sasagawa (Niigata Univ.) MBE2018-2 |
Food capturing that is a part of ingestion has two different functions such as "eating-tool operation" and "food intake ... [more] | MBE2018-2 pp.7-12 |
| EMCJ, IEE-EMC | 2017-12-15 16:40 |
Gifu | Gifu University | A study of high noise immunity IC for automotive pressure sensor Hiroaki Hayashi, Norikazu Ohta (Toyota CRDL), Noriyuki Mase (DENSO CORP.) EMCJ2017-87 |
The electromagnetic environment for in-vehicle sensors has been getting worse as the vehicle becomes more electrified an... [more] | EMCJ2017-87 pp.81-85 |
| OFT, OCS, LSJ (Joint) [detail] |
2017-08-31 14:05 |
Hokkaido | Hokkaido Univ. | Pressure dependence of FBG inscribed in perfluorinated plastic optical fiber Ryo Ishikawa, Heeyoung Lee (Tokyo Inst. of Tech.), Amedee Lacraz, Antreas Theodosiou, Kyriacos Kalli (Cyprus Univ. of Tech.), Yosuke Mizuno, Kentaro Nakamura (Tokyo Inst. of Tech.) OFT2017-26 |
Though the several sensing characteristics of the fiber Bragg gratings (FBG) inscribed in perfluorinated graded-index (P... [more] | OFT2017-26 pp.9-12 |
| SDM, ICD, ITE-IST [detail] | 2017-07-31 10:15 |
Hokkaido | Hokkaido-Univ. Multimedia Education Bldg. | Multi Sensor Operation using Octagonal Multi-Output MOSFET Tomochika Harada (Yamagata Univ.) SDM2017-32 ICD2017-20 |
By using the Si material and the MOSFET type as the sensor device, it is possible to fabricate the various sensor device... [more] | SDM2017-32 ICD2017-20 pp.7-12 |
| SIS | 2017-03-02 13:50 |
Kanagawa | Kanagawa Inst. Tech. Yokohama Office | Tactile Texture Recognition using Convolutional Neural Networks for Time-series Sensor Data Hideaki Orii, Satoshi Tsuji, Takaharu Kouda, Teruhiko Kohama (Fukuoka Univ.) SIS2016-47 |
Tactile texture is an important factor to determine to impression of an object. In this paper, we propose a novel recogn... [more] | SIS2016-47 pp.31-34 |
| HPB (2nd) |
2017-02-22 11:25 |
Tokyo | Activity Estimation for People Working in Office using Power and Vibration Sensors Kyohei Yamada, Ryota Tsubakitani (NITT), Ryushi Kimura (NITK), Hideyuki Kobayashi (NITS), Shinichiro Mito (NITT) |
In this study, we attempted to estimate people's position and behavior using wireless power sensors and vibration sensor... [more] | ||
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