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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EID, SDM, ITE-IDY [detail] | 2020-12-02 12:10 |
Online | Online | Brain type system using IGZO thin film synapses Yuki Onishi, Yuki Shibayama, Daiki Yamakawa (Ryukoku Univ.), Hiroya Ikeda, Yasuhiko Nakajima (NAIST), Mutumi Kimura (Ryukoku Univ./NAIST)  EID2020-7 SDM2020-41 |
Neural networks have been actively studied as a future electronics technology. However, since the von Neumann-type arith... [more] | EID2020-7 SDM2020-41 pp.25-28 |
| SIS | 2020-12-01 10:50 |
Online | Online | A study of anomalous sound detection using sound activity detection Yasuhiro Kanishima, Takashi Sudo (Toshiba) SIS2020-29 |
In anomalous sound detection that determines the operation of the device or the quality of the product based on the soun... [more] | SIS2020-29 pp.12-17 |
| MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-29 15:20 |
Online | Online | Unsupervised learning based on local interactions between reservoir and readout neurons Tstuki Kato, Satoshi Moriya, Hideaki Yamamoto, Masao Sakuraba, Shigeo Sato (Tohoku Univ.) NC2020-12 |
Reservoir computing is suitable for implementations in edge computing devices thanks to its low computational cost and e... [more] | NC2020-12 pp.21-23 |
| RECONF | 2020-05-29 10:50 |
Online | Online | Proposal of Reconfigurable Device Placement Algorithm Using Placement Quality Judgment Neural Network as Cost Function of SA Method Yuichi Natsume, Tokio Kamada, Kubota Atsushi, Kazuya Tanigawa, Tetsuo Hironaka (Hiroshima City Univ.) RECONF2020-13 |
The circuit performance of reconfigurable devices greatly depends on the place-and-route results, so optimal place-and-r... [more] | RECONF2020-13 pp.71-76 |
| MSS, NLP (Joint) |
2020-03-09 15:20 |
Aichi | (Cancelled but technical report was issued) |
A Mathematical Model for a Synapse Device Based on Spintronics Taku Sato, Kikuchi Yushi, Aleksandr Kurenkov, Yoshihiko Horio, Shunsuke Fukami (Tohoku Univ.) NLP2019-122 |
Recently, there is an increasing interest in a Spiking Neural Network (SNN) and Spike-Timing Dependent Plasticity (STDP)... [more] | NLP2019-122 pp.55-60 |
| SeMI | 2020-01-31 13:00 |
Kagawa | Basic Evaluation of Environmental Noise Removal for Improving Alarm Sound Source Classification Performance Takeru Kadokura, Yuuki Hashizume, Yuusuke Kawakita, Hiroshi Tanaka (Kanagawa Institute of Technology) SeMI2019-114 |
The authors are studying a method to classify ringing devices with high accuracy using neural networks from indoor alarm... [more] | SeMI2019-114 pp.57-62 |
|
| SDM | 2020-01-28 14:45 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | [Invited Talk]
Can in-memory/Analog Accelerators be a Silver Bullet for Energy-efficient Inference? Jun Deguchi, Daisuke Miyashita, Asuka Maki, Shinichi Sasaki, Kengo Nakata, Fumihiko Tachibana, Ryuichi Fujimoto (KIOXIA) SDM2019-85 |
This presentation introduces and discuss recent trends on in-memory/analog computing for deep learning inference, which ... [more] | SDM2019-85 p.11 |
| IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] | 2020-01-22 16:55 |
Kanagawa | Raiosha, Hiyoshi Campus, Keio University | A Comparison of Filter for Convolutional Neural Network towards Hardware Implementation Kosuke Akimoto, Youki Sada, Shimpei Sato, Hiroki Hakahara (Tokyo Tech) VLD2019-64 CPSY2019-62 RECONF2019-54 |
Convolutional neural networks have high recognition accuracy in computer vision task, and many of the learned filters ar... [more] | VLD2019-64 CPSY2019-62 RECONF2019-54 pp.61-66 |
| 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 |
| VLD, DC, CPSY, RECONF, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2019-11-14 10:05 |
Ehime | Ehime Prefecture Gender Equality Center | DNN accelerator for AI edge computing Yasuhiro Nakahara, Juntaro Chikama, Motoki Amagasaki (Kumamoto Univ.), Zhao Qian (Kyutech), Masahiro Iida (Kumamoto Univ.) RECONF2019-38 |
Convolutional Neural Network (CNN), a kind of artificial intelligence for image recognition, is used in various fields ... [more] |
RECONF2019-38 pp.15-20 |
| VLD, DC, CPSY, RECONF, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2019-11-14 15:05 |
Ehime | Ehime Prefecture Gender Equality Center | Design of an MTJ-Based Multiply-Accumulate Operation Circuit for an Energy-Efficient Binarized Neural Networks Tomoki Chiba, Masanori Natsui, Takahiro Hanyu (Tohoku Univ.) ICD2019-32 IE2019-38 |
In this paper, we propose a design of a computational unit for multiply-accumulate (MAC) operations and activation funct... [more] | ICD2019-32 IE2019-38 pp.19-24 |
| RECONF | 2019-09-19 16:00 |
Fukuoka | KITAKYUSHU Convention Center | The Implementation of Binarized YOLO System on Low-cost FPGA Kaijie Wei, Koki Honda, Hideharu Amano (Keio) RECONF2019-32 |
State-of-the-art AI application on low-end edge device faces two challenges: high energy utilization and resources defic... [more] | RECONF2019-32 pp.63-68 |
| IT | 2019-09-06 10:35 |
Oita | Yufuin Kenshujo, Nippon Bunri University | The Recovery of (0,1)-Vector Based on Deep Neural Network Lantian Wei, Shan Lu, Hiroshi Kamabe (Gifu Univ.) IT2019-28 |
In this paper, we consider the recovery of sparse (0,1)-vectors from sparse signature matrix based on deep neural networ... [more] | IT2019-28 pp.13-17 |
| CPSY, DC, IPSJ-ARC [detail] | 2019-07-26 15:20 |
Hokkaido | Kitami Civic Hall | Comparison of Compression Techniques for Communication Efficiency in Distributed CNN Ryuta Shingai, Takashi Nakada, Yasuhiko Nakashima (Naist) CPSY2019-36 DC2019-36 |
Since the amount of calculation required for the inference processing of the neural network is large, it is processed no... [more] | CPSY2019-36 DC2019-36 pp.203-208 |
| MW, EST, OPE, MWP, EMT, IEE-EMT, THz [detail] | 2019-07-18 10:00 |
Hokkaido | Hakodate City Central Library | Study on efficient optimal design of directional coupler type optical devices utilizing neural network Koji Kudo, Yasuhide Tsuji (Muroran Inst. of Tech.) EMT2019-20 MW2019-33 OPE2019-24 EST2019-22 MWP2019-20 |
We study on efficient optimal design of optical devices utilizing neural network. By making the neural network learn a ... [more] |
EMT2019-20 MW2019-33 OPE2019-24 EST2019-22 MWP2019-20 pp.85-89 |
| EA, ASJ-H, ASJ-AA | 2019-07-16 10:00 |
Hokkaido | SAPPORO COMMUNITY PLAZA | A Study on Sound Communication in Inaudible Band Based on Neural Network Kosei Ozeki, Naofumi Aoki, Yoshinori Dobashi (Hokkaido Univ.) EA2019-1 |
In this research, we have developed a system that performs data communication by embedding information in high frequency... [more] | EA2019-1 pp.1-4 |
| PRMU, BioX | 2019-03-18 10:00 |
Tokyo | A Study of Comparison of Learning Algorithms for Pedestrian Identification Using 3-Axis Accelerometer of Smartphone Meng Cui, Yuji Watanabe (Nagoya City Univ.) BioX2018-48 PRMU2018-152 |
We have acquired triaxial acceleration from a smartphone device and have identified subjects during walking． In the prev... [more] | BioX2018-48 PRMU2018-152 pp.113-118 |
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| PRMU, BioX | 2019-03-18 14:15 |
Tokyo | Development of Personal Identification Application Using Flick Input Features on Android Device Toshiki Kobayashi, Yuji Watanabe (Nagoya City Univ.) BioX2018-61 PRMU2018-165 |
We have studied personal identification based on touch operation recorded by smartphone. In this study, assuming that th... [more] | BioX2018-61 PRMU2018-165 pp.187-192 |
|
| NLP, MSS (Joint) |
2019-03-14 15:35 |
Fukui | Bunkyo Camp., Univ. of Fukui | Effect of Dropout Layers of Neural Networks Applied for Iterative Error-Detection Clustering Method Taishi Watanabe, Masayuki Yamauchi (Hiroshima Institute of Tech.), Mamoru Tanaka (Sophia Univ.) NLP2018-130 |
IoT has been continued to develop greatly. It is important that cluttered big data need to be used effectively on intern... [more] | NLP2018-130 pp.31-36 |
| EA, SIP, SP | 2019-03-14 13:30 |
Nagasaki | i+Land nagasaki (Nagasaki-shi) | [Poster Presentation]
Automatic Design Support System for Micro Speaker Mounted on Smartphone Kai Hirai, Yoshinobu Kajikawa (Kansai Univ.) EA2018-103 SIP2018-109 SP2018-65 |
Most smartphones contains micro speakers for playing music and movie, but it is impossible to prepare much space for mic... [more] | EA2018-103 SIP2018-109 SP2018-65 pp.25-30 |
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