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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-10 10:20 |
Online | Online (Zoom) | Greenhouse temperature control based on fuzzy logic and image processing Chuan Lu, Zhaoyang Du, Celimuge Wu, Tsutomu Yoshinaga (UEC)  CQ2021-115 |
In order to address the adverse effects of temperature on tomato growth, a greenhouse temperature control system was dev... [more] | CQ2021-115 pp.82-87 |
| RISING (3rd) |
2021-11-17 09:00 |
Tokyo | (Primary: On-site, Secondary: Online) |
A Study on Fuzzy-Based Packet Scheduling Scheme for Streaming over ICN Fumiya Ohtsuki (Tokyo Univ of Science), Ito Yusuke (Tokyo Univ. of Science), Koga Hiroyuki (The Univ. of Kitakyushu), Hasegawa Mikio (Tokyo Univ. of Science) |
ICN (Information Centric Network) has been attracting attention as a promising architecture for efficient content delive... [more] | |
| CQ, MIKA (Joint) |
2021-09-10 11:20 |
Online | Online | A UAV-empowered Routing Protocol for Federated Learning in Delay Tolerant Environments Zhaoyang Du, Celimuge Wu, Tsutomu Yoshinaga (UEC) CQ2021-55 |
While vehicular federated learning (FL) systems can be used for various purposes, including traffic monitoring and people... [more] | CQ2021-55 pp.88-93 |
| MBE, IEE-MBE | 2021-06-25 13:30 |
Online | Online | A Study on Tuning of Fuzzy FES Controller Using Electrical Stimulation Response Model Shungo Iguchi, Takashi Watanabe (Tohoku Univ), Achmad Arifin (ITS) MBE2021-6 |
In order to assist ankle joint movements of paraplegics during walking by using functional electrical stimulation (FES),... [more] | MBE2021-6 pp.1-5 |
| CQ, CBE (Joint) |
2019-01-18 10:45 |
Tokyo | Tokyo Metropolitan Univ. | Clustering Protocol in Wireless Sensor Networks Using Cuckoo Search and Fuzzy Algorithm Chiharu Ido, Yuji Sekiya (Tokyo Univ.) CQ2018-84 |
Wireless Sensor Networks (WSNs) is a network formed by a large number of sensor nodes where each node is equipped with a... [more] | CQ2018-84 pp.47-52 |
| AI | 2016-06-27 10:40 |
Tokyo | Locomotive Control of Omnidirectional Wheelchair Robot Using Electromyograph Sensor Yoichiro Maeda (IOT), Shoji Ishibashi (UH) AI2016-2 |
In recent years, the research and development of nursing and welfare robots, devices and systems intended for people wit... [more] | AI2016-2 pp.7-12 |
|
| AI | 2016-06-27 11:10 |
Tokyo | An Elevator Group Control System Using Estimated Numbers of Passengers Rina Ide, Toshiharu Sugawara (Waseda Univ.) AI2016-3 |
This paper proposes the assignment algorithm of an elevator in rush hours and inspects the reduction of passengers' wait... [more] | AI2016-3 pp.13-18 |
|
| EMM | 2015-03-13 09:30 |
Okinawa | Fuzzy Number Input Approximate Reasoning Using Lukasiewicz t-norm Takashi Mitsuishi (UMDS) EMM2014-95 |
In this study, the fuzzy approximate reasoning using t-norm calculation is analysed. The input of the If-THEN rules is ... [more] |
EMM2014-95 pp.109-112 |
|
| WBS, ITS (Joint) |
2014-12-18 15:35 |
Kumamoto | Kumamoto University | A context aware routing metric for reliable route discovery in MANET using fuzzy logic Mehnaz Seraj, Atsuo Inomata, Kazutoshi Fujikawa (NAIST) ITS2014-31 |
In mobile ad hoc networks, mobile devices communicate together in an autonomous fashion via multi-hop routes. Because of... [more] | ITS2014-31 pp.63-67 |
| CQ, ICM, NS (Joint) |
2012-11-16 09:20 |
Shiga | Nagahama Inst. of Bio-Science and Tech. | Improving OLSR for highly mobile and lossy networks Narangerel Dashbyamba, Celimuge Wu, Satoshi Ohzahata, Toshihiko Kato (Univ. of Electro-Comm.) CQ2012-66 |
Optimized Link State Routing Protocol (OLSR) is a well-known proactive routing protocol for mobile ad hoc networks. OLSR... [more] | CQ2012-66 pp.47-52 |
| MBE, NC (Joint) |
2012-03-15 09:50 |
Tokyo | Tamagawa University | Development and Evaluation of Neurofuzzy Control System with dsPIC30F3013 for Transtibial Prosthesis. Kazuya Hashimoto, Youichi Shimada (K.I.T.) NC2011-154 |
This report represents the development and evaluation of the control systems fuzzy system, neural networks system, and t... [more] | NC2011-154 pp.191-196 |
| IA | 2010-12-17 10:00 |
Tokyo | Room1, B3F, Kikai-Shinko-Kaikan Bldg | A sender/receiver-coupled fuzzy logic system for transmission power control in wireless sensor networks Hayder Ahmed Abdulmohsin, Turki Younis Abdalla (Univ of Basrah), Shigeki Yamada (NII) IA2010-58 |
Wireless Sensor Networks (WSNs) are promising and used in different application. WSN nodes operate on battery power and ... [more] | IA2010-58 pp.1-6 |
| EMD | 2010-11-12 17:30 |
Overseas | Xi'an Jiaotong University | A Fuzzy Logic-Wavelet Transform Based Energy Management Strategy for Battery/Ultra-capacitor Composite Power Supply for Robots Yuan Haiwen, Lv Yingming, Liu Yingyi (Beihang Univ.) EMD2010-126 |
In order to overcome the shortcomings of batteries used as the mobile robot power supply, the composite power supply com... [more] | EMD2010-126 pp.247-250 |
| ICM | 2010-03-12 14:50 |
Kagoshima | Approximate Reasoning Using Fuzzy Number as Premise Variable Takashi Mitsuishi (Univ. of Marketing and Distribute Sci.), Yasunari Shidama (Shinshu Univ.) ICM2009-67 |
The authors present a mathematical framework for studying a fuzzy logic control, which is constructed by IF-THEN type fu... [more] | ICM2009-67 pp.129-132 |
|
| NC, MBE (Joint) |
2008-12-20 14:55 |
Aichi | Nagoya Inst. Tech. | Study on Control Strategy for Power-Assisted Bicycle On-Site Daisuke Watanabe, Naoki Sato, Tohru Kiryu (Niigata Univ.) MBE2008-74 |
In a previous study, the power-assist control of a bicycle using a fuzzy inference was necessary to redesign the control... [more] | MBE2008-74 pp.21-24 |
| NLP | 2008-11-06 13:25 |
Aichi | On the Equivalence of Fuzzy Inference Methods
-- Case of SIRMs Connected Fuzzy Inference Method -- Hirosato Seki (Osaka Univ.) NLP2008-62 |
This paper addresses equivalence of fuzzy inference methods. It presents fuzzy inference methods: the single input rule ... [more] | NLP2008-62 pp.29-32 |
|
| MBE | 2008-01-25 16:25 |
Fukuoka | Kyushu Univ. | [Poster Presentation]
The Artificial Neural Network by a Fuzzy Classification for Speckle Noise Removal in Medical Ultrasound Image Hyungseok Oh, Toshihiro Nishimura (Waseda Univ.) MBE2007-102 |
Medical ultrasound image is one of the major diagnostic tool in medical image. However, ultrasound images are degraded b... [more] | MBE2007-102 pp.91-94 |
| IE, ITE-BCT, ITE-ME, ITE-AIT | 2007-11-30 11:45 |
Saga | Saga University | The active artificial neural network by a neuro-fuzzy classification for speckle noise removal in medical ultrasound image Hyungseok Oh, Toshihiro Nishimura (Waseda Univ.) IE2007-104 |
Medical ultrasound image is one of the major diagnostic tool in medical image. However, ultrasound images are degraded b... [more] | IE2007-104 pp.79-82 |
| MBE | 2006-10-27 15:20 |
Osaka | Osaka University Nakanoshima Center | FES Control Method of the Swing Phase of Hemiplegic Gait based on Cycle-to-Cycle Control
-- Model Simulation Study on Stimulation Data for using Surface Electrode -- Takashi Watanabe, Satoshi Shibata (Tohoku Univ.), Achmad Arifin (ITS), Makoto Yoshizawa (Tohoku Univ.), Nozomu Hoshimiya (Tohoku Gakuin Univ.) |
We proposed a fuzzy controller based on the cycle-to-cycle control for controlling the swing phase of hemiplegic gait by... [more] | MBE2006-63 pp.25-28 |
| ICM | 2006-05-12 09:25 |
Hokkaido | Hokkaido Information University | Server Capacity Planning with Class of Service Function for Service Level Management in Heterogeneous Environment Shinji Nakadai, Kunihiro Taniguchi (NEC) |
Web sites associated with TV programs are in the face of sharp fluctuation in a load. To keep the quality of such servi... [more] | |
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