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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ICD | 2018-04-19 13:50 |
Tokyo | [Invited Talk]
Hard- and Soft- Synchronized Developments of Resistive Analog Neuro Devices and Systems Hiroyuki Akinaga, Hisashi Shima, Yasuhisa Naitoh (AIST), Tetsuya Asai (Hokkaido Univ.)  ICD2018-5 |
Artificial Neural Network (ANN) System for Inference has attracted increasing attention. As widely known, Resistive Ana... [more] | ICD2018-5 p.15 |
|
| SDM | 2018-01-30 15:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | [Invited Talk]
STDP synapse with outstanding stability based on a novel insulator-to-metal transition FET Pablo Stoliar (nanoGUNE), Alejandro Schulman, Ai Kitoh, Akihito Sawa, Isao H. Inoue (AIST) SDM2017-95 |
We have developed an ultra-stable spike-timing-dependent plasticity (STDP) synapse based on a unique field-effect transi... [more] | SDM2017-95 pp.17-20 |
| AP | 2017-12-14 13:25 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Possibility study for realizing function of artificial brain by electronic circuit modeling of hierarchical neural network Koichi Tsunekawa (Chubu Univ.) AP2017-148 |
It is a hierarchical neural network simulating human brain function as an artificial brain. A quantum search function su... [more] | AP2017-148 pp.13-16 |
| MWP, OPE, EMT, MW, EST, IEE-EMT [detail] | 2017-07-21 09:00 |
Hokkaido | Obihiro Chamber of Commerce and Industry | Recognition of Object Shape Using Electromagnetic Scattering Waves by Artificial Intelligence Tatsuya Kashiwa, Kenji Taguchi (Kitami Inst. of Tech.) EMT2017-21 MW2017-46 OPE2017-26 EST2017-23 MWP2017-23 |
The recognition of shape of obstacle is very important in the field of science and technology as a fundamental problem. ... [more] | EMT2017-21 MW2017-46 OPE2017-26 EST2017-23 MWP2017-23 pp.81-84 |
| SC | 2017-06-02 14:20 |
Fukushima | University of Aizu(UBIC 3D) | A Neural Network Recommendation Approach for Improving Accuracy of Multi-criteria Collaborative Filtering Mohammed Hassan, Mohamed Hamada (Univ. of Aizu) SC2017-4 |
Recommender systems (RSs) are intelligent decision-making tools that exploit users? preferences and suggest items that m... [more] | SC2017-4 pp.17-20 |
| SANE | 2017-05-22 14:05 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Artificial Intelligence and EW Yoshio Kajiwara (FSI) SANE2017-9 |
Since around 2012, deep learning studies of learning by image using neural networks have been published, and Artificial ... [more] | SANE2017-9 p.43 |
| VLD | 2017-03-01 15:55 |
Okinawa | Okinawa Seinen Kaikan | A Design Technique for Approximate Circuits based on Artificial Neural Network Kazushi Kawamura, Masao Yanagisawa, Nozomu Togawa (Waseda Univ.) VLD2016-106 |
This paper proposes a design technique for approximate circuits based on artificial neural network, and then evaluates t... [more] | VLD2016-106 pp.25-30 |
| SP, IPSJ-SLP, NLC, IPSJ-NL (Joint) [detail] |
2016-12-20 15:10 |
Tokyo | NTT Musashino R&D | Remote Sensing Applied to the Input Interface of Spoken Dialogue System Makoto Koike (MK Microwave Researh) SP2016-60 |
I propose herein that remote sensing is applied to the input interface of spoken language systems. The remote sensing r... [more] | SP2016-60 pp.59-64 |
| MBE, NC (Joint) |
2016-03-22 17:00 |
Tokyo | Tamagawa University | [Invited Talk]
From associative memory model to sparse modeling and brain-like artificial intelligence Masato Okada (UTokyo) NC2015-79 |
In this talk, I first introduce statistical-mechanical informatics. In my opinion, statistical-mechanical informatics ha... [more] | NC2015-79 p.57 |
| HIP | 2015-07-19 11:40 |
Fukuoka | Kyushu Sangyo University | Prediction of Visual Induced Motion Sickness by Artificial Neural Network Shin Tabeta, Tohru Kiryu, Shigehito Tanahashi (Niigata Univ) HIP2015-61 |
The study investigated prediction of Visual Induced Motion Sickness with Biological Information by Artificial Neural Net... [more] | HIP2015-61 pp.99-103 |
| MI | 2015-03-02 16:00 |
Okinawa | Hotel Miyahira | Segmentation of Blood Vessels in Retinal Fundus Images using Morphology Filter Bank and Artificial Neural Network Tomoki Inoue, Ryutaro Hashimoto, Yoshikazu Uchiyama, Keiichi Uchimura, Gou Koutaki (Kumamoto Univ.) MI2014-83 |
We propose a method for segmentation of blood vessels in retinal fundus images. In this method, we use a morphology filt... [more] | MI2014-83 pp.137-141 |
| NLP | 2015-01-26 10:25 |
Oita | Compal Hall | A flooding sheme considering battery level in wireless sensor networks using chaotic neural networks Ryohei Sato, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2014-114 |
In this paper, efficient ooding schemes in wireless sensor networks are considered. Based on our previous scheme using... [more] |
NLP2014-114 pp.7-12 |
| MICT, ASN, MoNA (Joint) |
2015-01-26 13:30 |
Wakayama | Nanki Shirahama | An Application Recommendation System Considering Device Condition Daichi Hasumi, Eiji Kamioka (Shibaura Inst. of Tech.) MoNA2014-65 |
We have proposed an application recommendation system, which predicts an application function that a user wants to use c... [more] | MoNA2014-65 pp.41-46 |
| IA | 2014-11-06 11:30 |
Overseas | Thailand | [Poster Presentation]
Vehicle Classification Using Geometric Pattern and A Neural Network for Toll way Pachara Siriborirak, Kosin Chamnongthai (King Mongkut Univ. of Tech.) IA2014-45 |
Processing in payment at toll takes time, and sometimes causes traffic congestion in the highway. To determine prices of... [more] | IA2014-45 p.63 |
| MoNA, CQ (Joint) |
2014-09-11 10:50 |
Miyagi | Stress Behavior Estimation Using Smartphone Shuhei Soshino, Eiji Kamioka (Shibaura Inst. of Tech.) MoNA2014-31 |
In modern societies, coping with stress is one of the most important issues. For detecting the stress, however, diagnosi... [more] | MoNA2014-31 pp.1-6 |
|
| MoNA, IPSJ-MBL, IPSJ-UBI | 2014-03-14 13:25 |
Kanagawa | Keio Univ. (Hiyoshi Campus) | Convenience-oriented Hybrid Biometric Identification using Aerial Signature Kentaro Yamamoto, Eiji Kamioka (Shibaura Inst. of Tech.) MoNA2013-81 |
Personal authentication has been regarded as an important research domain from the viewpoint of security and privacy pro... [more] | MoNA2013-81 pp.237-242 |
| R | 2013-10-18 13:55 |
Fukuoka | A Neural Network Model for Forecasting Precipitation Extreme Junaida Sulaiman, Darwis Herdianti, Hideo Hirose (Kyushu Inst. of Tech.) R2013-65 |
Several days of precipitation can increase the magnitude of accumulated water in a basin. This can cause the lower area ... [more] | R2013-65 pp.7-12 |
|
| MoNA | 2013-08-01 16:00 |
Hokkaido | Hokkaido University | Machine Learning-based Hand Gesture Identification using Doppler Sensor Junya Oikawa, Eiji Kamioka (Shibaura Inst. of Tech.) MoNA2013-16 |
With the spread of electronic devices, the operation method for controlling the devices has been diversified. Gesture-ba... [more] | MoNA2013-16 pp.19-24 |
| NLP | 2013-05-28 10:15 |
Fukuoka | Event hall, Central Library, Fukuoka University | An Efficient Flooding Scheme in Large-scale Wireless Sensor Networks Using Two-stage Optimization Ryohei Sato, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2013-21 |
In this paper, we propose a two-stage optimization method for the purpose of efficient flooding in wireless sensor netwo... [more] | NLP2013-21 pp.65-70 |
| MoNA, IPSJ-DPS, IPSJ-MBL | 2013-05-23 10:40 |
Okinawa | Ishigaki City Hall | [Encouragement Talk]
Machine Learning Based Unpleasant Sound Detection by Electroencephalography Takuya Imawaka, Eiji Kamioka (Shibaura Inst. of Tech.) MoNA2013-3 |
Acoustical environment which surrounds us has drastically changed and increased unpleasant sound sources. In such an unp... [more] | MoNA2013-3 pp.13-18 |
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