Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SAT, MICT, WBS, RCC (Joint) [detail] |
2024-05-17 13:35 |
Miyazaki |
KITEN Convention hall (Miyazaki) (Primary: On-site, Secondary: Online) |
Improving Functions and Data Processing Methods of Finger-Dexterity Measuring System for the Elderly Yuki Kashihara, Sinan Chen, Atsuko Hayashi, Masahide Nakamura (Kobe Univ.) |
(To be available after the conference date) [more] |
|
CNR, BioX |
2024-02-29 15:00 |
Tokyo |
NHK Science & Technology Research Laboratories (Primary: On-site, Secondary: Online) |
Implementation and Evaluation of Privacy-Preserving Image Transformation Methods for Person Re-identification Junpei Yamaguchi, Hajime Nada, Yumo Ouchi, Narishige Abe (Fujitsu) BioX2023-73 CNR2023-40 |
Advances in machine learning have enabled high-accuracy tracking of individuals using surveillance cameras, making the d... [more] |
BioX2023-73 CNR2023-40 pp.18-23 |
SRW, SeMI (Joint) |
2023-11-21 17:00 |
Tokyo |
Koganei Campus, Tokyo University of Agriculture and Technology (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Estimating the Indoor Atmosphere in the Smart Home Aiko Hosokawa, Karen Takahasi, Kentarou Saito (TDU) SRW2023-33 |
Thanks to Information Technology (IT), there is a concept of Smart Homes designed to provide a comfortable living enviro... [more] |
SRW2023-33 p.30 |
EE, WPT (Joint) |
2023-10-06 11:25 |
Osaka |
(Primary: On-site, Secondary: Online) |
Optical Wireless Power Transmission Using High-Accuracy Tracking Technique Based on Image Recognition Tomohito Shimura, Hiromichi Imai, Norioki Watanabe, Hidetaka Hayashi (SBKK) WPT2023-22 |
In order to realize FSOC (free space optical communication) or OWPT (optical wireless power transfer) for freely moving ... [more] |
WPT2023-22 pp.14-16 |
LOIS, IPSJ-DC |
2023-08-04 14:45 |
Kyoto |
Kyoto Tachibana University, Keisei-Kan, 1-G106 (Primary: On-site, Secondary: Online) |
Recognizing Human-Centered Contexts for In-Home Elderly Monitoring Using Vision-Based Edge AI Sinan Chen, Masahide Nakamura, Kiyoshi Yasuda (Kobe Univ.) LOIS2023-6 |
As the global population ages, including Japan, there is a significant trend toward transitioning from facility-based ca... [more] |
LOIS2023-6 pp.18-22 |
MBE, IEE-MBE |
2023-06-16 14:10 |
Hokkaido |
Hokkaido University (Primary: On-site, Secondary: Online) |
Development of an Extra-corporeal circuit Assembly Support System Using Image Recognition Hisashi Miyazaki (Nippon Bunri Univ.), Takayuki Torigoe, Isao Kayano (Kawasaki Univ. of Medical Welfare) MBE2023-9 |
In this research, we developed a system that automatically displays an assembly manual for an artificial heart-lung mach... [more] |
MBE2023-9 p.3 |
IMQ |
2022-05-27 14:00 |
Tokyo |
|
Animal Video Retrieval System Using Image Recognition Chinatsu Watanabe (Kogakuin Univ.), Mayu Kaneko (Mizuho Research & Technologies), Atsumu Harada, Naiwala P. Chandrasiri (Kogakuin Univ.) IMQ2022-2 |
In general, the search function in a video sharing service site evaluates the relevance of a search query to the title, ... [more] |
IMQ2022-2 pp.7-11 |
NLC |
2022-03-07 11:05 |
Online |
Online |
Sightseeing spot detection and automatic generation of explanations using Flickr Hanami Ookada (Hiroshima City Univ.), Aya Ishino (HUE), Toshiyuki Takezawa (Hiroshima City Univ.) NLC2021-30 |
Using travel photos with latitude and longitude information in Flickr and image recognition technology, we conducted a s... [more] |
NLC2021-30 pp.13-18 |
ICTSSL |
2021-07-08 13:35 |
Online |
Online |
Day and night situational awareness of irrigation canals and rivers using microbolometer array sensors and transfer learning Yuxuan Wang, Yuta Miura, Naoshi Eshita, Tsubasa Saito, Yuichi Sato (Akita Univ.) ICTSSL2021-8 |
It is important to monitor the conditions of irrigation canals and rivers under the same conditions and recognize their ... [more] |
ICTSSL2021-8 pp.1-5 |
IN |
2021-01-19 11:45 |
Online |
Online |
Image Evaluation Using Multiple CNNs for Filtering GAN-output Images Kizuku Aiba, Komei Arasawa, Shun Hattori (Muroran Inst. of Tech.) IN2020-53 |
In recent years, AI technologies have been utilized and researched in various situations. The famous examples have Softb... [more] |
IN2020-53 pp.55-60 |
PRMU |
2020-10-10 10:45 |
Online |
Online |
Characteristic Analyses of External Nose and Philtrum of Japanese Male and Female by Using Convolutional Neural Network Tomoya Kitamura, Toshinobu Harada (Wakayama Univ.) PRMU2020-36 |
Plastic surgery reconstruct to match the facial shapes of patients with gender identity disorder to gender identity. In ... [more] |
PRMU2020-36 pp.110-115 |
CQ |
2020-09-03 13:30 |
Osaka |
Osaka University Nakanoshima Center (Primary: On-site, Secondary: Online) |
Development of a crop monitoring system using edge computing Yilong Chen, Celimuge Wu, Tsutomu Yoshinaga (UEC) CQ2020-38 |
The combination of internet of things (IoT) with edge computing will open a new era to monitor crops. An efficient IoT s... [more] |
CQ2020-38 pp.21-25 |
CS |
2020-07-17 11:20 |
Hokkaido |
Ripura(Rishiri Fuji) (Primary: On-site, Secondary: Online) |
Utilization of utility pole for IoT service Shin-ichi Yamamoto, Tetsuya Yokotani, Yuichi Tokunaga, Masashi Saito (KIT), Hironao Kawamura, Hayato Kanayama (Hokuriku Electric Power Company) CS2020-25 |
In recent years, various IoT services have been actively discussed around the world. In this paper, we will discuss util... [more] |
CS2020-25 pp.45-46 |
IE, CS, IPSJ-AVM, ITE-BCT [detail] |
2019-12-05 13:55 |
Iwate |
Aiina Center |
An Circular Road Signs Extraction Method for Accelerating Object Detection System Fang Yin, Kentaro Katayama, Eiji Yoshida (Fujitsu Lab) CS2019-77 IE2019-57 |
Cyber-physical system (CPS) becomes realistic with the development of sensing technology and pattern recognition technol... [more] |
CS2019-77 IE2019-57 pp.41-46 |
CAS, MSS, IPSJ-AL [detail] |
2019-11-28 10:50 |
Fukuoka |
|
Development of Support System for Tongue Diagnosis in Traditional Chinese Medicine Zhenyu An (Yamaguchi Univ.), Ren Wu (Yamaguchi Junior College), Mitusru Nakata, Qi-Wei Ge (Yamaguchi Univ.) CAS2019-46 MSS2019-25 |
The purpose of this paper is to develop a support system that automatically diagnoses the health of the human body throu... [more] |
CAS2019-46 MSS2019-25 pp.11-14 |
EA, EMM |
2019-11-22 14:00 |
Ishikawa |
Kanazawa Institute of Technology |
[Poster Presentation]
Shape recognition of objects placed in the middle or on the bottom of water by applying deep learning to their acoustic images Ryouta Shinoda, Kazuhiko Ohta (KIT) EA2019-51 EMM2019-79 |
In order to recognize and classify different shapes of objects placed on the bottom of water and in the middle of water,... [more] |
EA2019-51 EMM2019-79 pp.5-6 |
MIKA (2nd) |
2019-10-03 11:15 |
Hokkaido |
Hokkaido Univ. |
[Poster Presentation]
A Study on Feature Quantities in Identification of Tomato Fruit and Flower using Machine Learning Eisuke Fukuyama, Yuki Hoshino, Takuya Shindo, Takefumi Hiraguri (NIT) |
In modern agriculture, the technology in which machines carry out farm work instead of human has beendeveloped. However,... [more] |
|
CQ (2nd) |
2019-09-04 13:50 |
Tokyo |
Inter-University Seminar House |
[Poster Presentation]
A study of feature extraction in machine learning for image recognition of fruits and flowers Eisuke Fukuyama, Yuki Hoshino, Gakuto Komazawa, Takuya Shindo, Takefumi Hiraguri (NIT) |
In modern agriculture, the technology in which machines carry out farm work instead of human has been developed. However... [more] |
|
CS |
2019-07-04 09:15 |
Kagoshima |
Amami City Social Welfare Center |
A Study on Feature quantities for Identification of fruit and flower by machine learning Eisuke Fukuyama, Yuki Hosino, Takuya Sindo, Takefumi Hiraguri (NIT) CS2019-25 |
In modern smart agriculture, technology has been developed to achieve farm work on instead of human by mechanization. Ho... [more] |
CS2019-25 pp.53-54 |
SC |
2019-03-15 13:25 |
Tokyo |
National Institute of Informatics |
Proposal of home context recognition method using feature values of cognitive API Sinan Chen, Sachio Saiki, Masahide Nakamura (Kobe Univ.) SC2018-38 |
In recent years, with the development of deep learning technology, context recognition technology utilizing multimedia d... [more] |
SC2018-38 pp.7-12 |