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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| EMM | 2020-03-05 16:45 |
Okinawa | (Cancelled but technical report was issued) |
[Poster Presentation]
Video Forgery Detection Using Generative Adversarial Networks Shoken Ohshiro (Osaka Univ.), Kazuhiro Kono (Kansai Univ.), Noboru Babaguchi (Osaka Univ.) EMM2019-122 |
The purpose of our work is to detect the regions of tampered objects in the spatial domain of videos by passive approach... [more] | EMM2019-122 pp.107-112 |
| IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] | 2020-01-22 17:45 |
Kanagawa | Raiosha, Hiyoshi Campus, Keio University | An FPGA Implementation of Monocular Depth Estimation Youki Sada, Masayuki Shimoda, Shimpei Sato, Hiroki Nakahara (titech) VLD2019-66 CPSY2019-64 RECONF2019-56 |
Among a lot of image recognition applications, Convolutional Neural Network (CNN) has gained high accuracy and increasin... [more] | VLD2019-66 CPSY2019-64 RECONF2019-56 pp.73-78 |
| LOIS, ICM | 2020-01-10 10:25 |
Nagasaki | ARKAS SASEBO | Examination of abnormal sound detection method of machine using standard deviation of multiple models Akihio Ito, HIroyuki Nishi, Manbu Okamoto (Sojo Univ..) ICM2019-37 LOIS2019-52 |
Along with the progress of super aged society, the number of elderlies living alone has increased. Therefore, the demand... [more] | ICM2019-37 LOIS2019-52 pp.39-44 |
| NS, RCS (Joint) |
2019-12-19 16:40 |
Tokushima | Tokushima Univ. | [Invited Talk]
Fast Networking for Disaster Recovery Kaoru Ota (Muroran-IT) NS2019-148 RCS2019-251 |
Information services play a very important role in digital/virtual asset protection and crucial phase during disasters s... [more] | NS2019-148 RCS2019-251 p.75 |
| PRMU | 2019-12-20 10:45 |
Oita | An Efficient Block-wise Object Detection Method using Consecutive Frames for High Resolution Video Kazuki Hozumi, Yoichi Tomioka (UoA) PRMU2019-57 |
In recent years, in the fields such as surveillance cameras and in-vehicle camera systems, efficient deep-learning-based... [more] | PRMU2019-57 pp.69-74 |
|
| IA | 2019-11-29 11:05 |
Aomori | Tsugaru Densho Kougei-kan | Development and Evaluation of Multi-Target Sensing System for Aquaponics Yusuke Haruo, Hiroshi Yamamoto (Ritsumeikan Univ.), Masao Arakawa, Itsuo Naka (Asahi Rubber) IA2019-43 |
In recent years, an aquaponics is attracting attention to achieve a new type of primary industry where workers can get a... [more] | IA2019-43 pp.1-6 |
| NLP | 2019-09-23 13:45 |
Kochi | Eikokuji Campus, University of Kochi | Building Datasets Using k-means Clustering and its Evaluation of Training Accuracy by Convolutional Neural Networks Yuichi Miyata, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2019-43 |
In recent years, aerial photography became easier than before by using the camera loaded in the drone. Also, convolution... [more] | NLP2019-43 pp.41-44 |
| IMQ, HIP | 2019-07-19 14:25 |
Hokkaido | Satellite Campus, Sapporo City University | Consideration of person identification method from multi-view video with different view angle Shuhei Kishida, Yuukou Horita (Univ. of Toyama) IMQ2019-1 HIP2019-29 |
In order to make use of area data to create new added value in cities, it is necessary to collect the conditions and nee... [more] | IMQ2019-1 HIP2019-29 pp.1-5 |
| IN, NS (Joint) |
2019-03-05 10:50 |
Okinawa | Okinawa Convention Center | Evaluation on Realistic Example of Information-Centric Network Metadata Management Tomoki Ito (Nagoya Univ.), Hirofumi Noguchi, Misao Kataoka, Takuma Isoda, Yoji Yamato (NTT), Tutomu Murase (Nagoya Univ.) IN2018-117 |
This paper presents an realistic and multilateral evaluation of ICN metadata management method, which reduces the cost o... [more] | IN2018-117 pp.199-204 |
| DC | 2019-02-27 16:25 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Reliability evaluation of the optical navigation electronics of HAYABUSA2
-- Onboard demonstration of a high reliability system with limited resources -- Hiroki Hihara (NECSpace/NEC), Junpei Sano (NECSpace), Tetsuya Masuda (NEC), Hisashi Otake, Tatsuaki Okada, Naoko Ogawa, Yuichi Tsuda (JAXA) DC2018-84 |
The optical navigation camera digital electronics of HAYABUSA2 asteroid probe was developed to fulfill the reliability a... [more] | DC2018-84 pp.77-82 |
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2019-02-20 16:15 |
Hokkaido | Hokkaido Univ. | [Invited Talk]
Automatic Gaze Correction based on Deep Learning and Image Warping Masataka Seo, Yamamoto Takahiro (Ritsumeikan Univ), Toshihiro Kitajima (Samsung), Chen Yen-Wei (Ritsumeikan Univ) |
When people take a selfie photo or talk through a video chat system, they tend to look at the screen. Since the position... [more] | |
| OCS, CS (Joint) |
2019-01-18 10:55 |
Okinawa | Nobumoto Ohama Memorial Hall (Ishigaki Island) | Performance Evaluation of multiplexing characteristics of surveillance camera traffic based on IPFIX Yoshiki Kuwabara, Yudai Matsuno, Kan Akutsu, Hiroaki Mukai, Tetsuya Yokotani (KIT) CS2018-97 |
In near future, the Internet of Things (IoT) has been popularized widely. It is expected that the number of devices conn... [more] | CS2018-97 pp.59-64 |
| MoNA | 2018-12-25 14:00 |
Tokyo | Emotions detection scheme using facial skin temperature and heart rate Kahil Mustafa Jamal S, Eiji Kamioka (SIT) MoNA2018-47 |
The main aim of this study is to detect emotions based on facial skin temperature and Heart Rate (HR) Using thermals cam... [more] | MoNA2018-47 pp.49-54 |
|
| PRMU | 2018-12-13 10:30 |
Miyagi | Candidate Reduction Method Using Hierarchical Overlapping Clustering and Convolutional Neural Network for Fast Chinese Character Recognition Soichi Tashima, Hideaki Goto (Tohoku Univ.) PRMU2018-77 |
Along with the widespread of the mobile devices equipped with cameras, many applications using the camera function have ... [more] | PRMU2018-77 pp.13-18 |
|
| PRMU | 2018-12-14 10:45 |
Miyagi | [Short Paper]
Calving prediction using behavioral information from video Kazuma Sugawara (Waseda Univ.), Teppei Nakano, Makoto Akabane (Waseda Univ./IFLab), Tetsunori Kobayashi, Tetsuji Ogawa (Waseda Univ.) PRMU2018-85 |
This study presents calving prediction methods focusing on cows' pre-calving behaviors and their changes. Livestock far... [more] |
PRMU2018-85 pp.57-60 |
|
| PRMU | 2018-12-14 14:40 |
Miyagi | Calving sign detection with cattle state-based feature extraction from video frames Ryosuke Hyodo, Saki Yasuda (Waseda Univ.), Susumu Saito (Waseda Univ./iflab, inc.), Yusuke Okimoto (Waseda Univ.), Teppei Nakano, Makoto Akabane (Waseda Univ./iflab, inc.), Tetsunori Kobayashi, Tetsuji Ogawa (Waseda Univ.) PRMU2018-90 |
Requirements that camera-based automatic calving sign detection should meet are established and a system satisfying thes... [more] | PRMU2018-90 pp.79-84 |
|
| BioX | 2018-10-12 09:00 |
Okinawa | Nobumoto Ohama Memorial Hall | Extraction of gait information and authentication by an infrared sensor network Shumpei Tsubakino, Mineichi Kudo (Hokkaido Univ.) BioX2018-25 |
We have improved a system that distinguishes persons from their gait measured by a ceiling infrared sensor network. The ... [more] | BioX2018-25 pp.33-38 |
| ASN, NS, RCS, SR, RCC (Joint) |
2018-07-13 10:20 |
Hokkaido | Hakodate Arena | Cooperative Location Aquisition of Mobile Nodes by Measurement of Moving Distance and Change of Observation Directions Masaaki Namekata, Hiroaki Higaki (Tokyo Denki Univ.) NS2018-72 |
In wireless networks composed of numbers of mobile wireless nodes, their location information is required to be achieved... [more] | NS2018-72 pp.167-172 |
| SR | 2018-05-24 10:30 |
Tokyo | Tokyo big sight | [Invited Talk]
Wireless Link Quality Prediction And Wireless Control Through Machine Learning Takayuki Nishio (Kyoto Univ.) SR2018-1 |
In this talk, wireless link quality prediction and control methods based on supervised learning from sensing information... [more] | SR2018-1 pp.1-6 |
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