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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP | 2022-11-24 15:50 |
Shiga | (Primary: On-site, Secondary: Online) |
Investigation of the range in application of a neural network with spike timing in quantitative analysis of two gas mixtures Taiga Manabe, Katsumi Tateno (KIT), Osamu Nakamura (UT)  NLP2022-65 |
Volatile organic compounds (VOCs) are useful substances in industry, but the effects of exposure to VOCs through inhalat... [more] | NLP2022-65 pp.36-41 |
| IT, EMM | 2022-05-17 15:30 |
Gifu | Gifu University (Primary: On-site, Secondary: Online) |
A study of adversarial example detection using the correlation between adversarial noise and JPEG compression-derived distortion Kenta Tsunomori, Yuma Yamasaki, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.), Isao Echizen (NII) IT2022-6 EMM2022-6 |
Adversarial examples cause misclassification of image classifiers. Higashi et al. proposed a method to detect adversari... [more] | IT2022-6 EMM2022-6 pp.29-34 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM (Joint) [detail] |
2021-12-01 10:10 |
Online | Online | A Multilayer Perceptron Training Accelerator using Systolic Array Takeshi Senoo, Akira Jinguji, Ryosuke Kuramochi, Hiroki Nakahara (Toyko Tech) VLD2021-23 ICD2021-33 DC2021-29 RECONF2021-31 |
Neural networks are being used in various applications, and the demand for fast training with large amounts of data is e... [more] | VLD2021-23 ICD2021-33 DC2021-29 RECONF2021-31 pp.37-42 |
| CPSY, DC, IPSJ-ARC [detail] | 2021-07-21 15:45 |
Online | Online | A Domain Adaptation Method using Light-Weight Neural ODE for Low-Cost FPGAs Hiroki Kawakami, Hirohisa Watanabe, Keisuke Sugiura, Hiroki Matsutani (Keio Univ.) CPSY2021-10 DC2021-10 |
(To be available after the conference date) [more] | CPSY2021-10 DC2021-10 pp.53-58 |
| CAS, ICTSSL | 2021-01-28 17:15 |
Online | Online | A Hardware Implementation of Neural Networks using HDLRuby, a Ruby-based Hardware Description Language Ryota Sakai, Yuki Maehara, Lovic Gauthier (NITAC) CAS2020-53 ICTSSL2020-38 |
In the recent years, FPGAs have been attracting attention as neural network accelerators for their superior performance ... [more] | CAS2020-53 ICTSSL2020-38 pp.79-84 |
| 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] | 2020-01-23 14:45 |
Kanagawa | Raiosha, Hiyoshi Campus, Keio University | Study of a Simplified Digital Spiking Neuron and Its FPGA Implementation Tomohiro Yoneda (NII) VLD2019-75 CPSY2019-73 RECONF2019-65 |
A simplified digital spiking neural network implementable on FPGAs is proposed in order to reduce necessary resources an... [more] | VLD2019-75 CPSY2019-73 RECONF2019-65 pp.135-140 |
| 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 |
|
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2019-02-20 13:15 |
Hokkaido | Hokkaido Univ. | A Note on Gastritis Detection from Gastric X-ray Images via Transfer Learning Approach Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a method for gastritis detection from gastric X-ray images via a transfer learning approach using a ... [more] | |
| CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] | 2018-03-08 15:00 |
Shimane | Okinoshima Bunka-Kaikan Bldg. | Implementation GoogLeNet on multi FPGAs Kensuke Iizuka, Kazusa Musha, Hideharu Amano (Keio Univ) CPSY2017-141 DC2017-97 |
(To be available after the conference date) [more] | CPSY2017-141 DC2017-97 pp.191-196 |
| MBE, NC, NLP (Joint) |
2018-01-27 14:25 |
Fukuoka | Kyushu Institute of Technology | A study on FPGA implementation of SAM spiking neural network Minoru Motoki, Kazunori Matsuo, Hirohito Shintani (NIT, Kumamoto Col.) NC2017-65 |
his paper describes a design for FPGA implementation of SAM spiking neural network and experimental results of circuit r... [more] | NC2017-65 pp.89-94 |
| VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2017-11-07 14:30 |
Kumamoto | Kumamoto-Kenminkouryukan Parea | CPSY2017-40 |
FiC (Flow-in-Cloud) -SW is an FPGA-based switching node for an energy efficientheterogeneous AI computing system. It is ... [more] | CPSY2017-40 pp.1-6 |
| SIS | 2017-03-03 11:40 |
Kanagawa | Kanagawa Inst. Tech. Yokohama Office | Hardware implementation of deep neural networks composed of self-organizing maps Yuichiro Tanaka, Hakaru Tamukoh (KIT) SIS2016-60 |
In this research, we aim to implement deep neural networks (DNNs) composed of self-organizing maps into field programmab... [more] | SIS2016-60 pp.101-106 |
| SANE | 2016-10-20 14:20 |
Osaka | OIT UMEKITA Knowledge Center | [Special Talk]
Intelligent Electronic Nose with Metal-Oxide Gas Sensors and its Applicability to Smell Communication Sigeru Omatu (OIT) SANE2016-40 |
In this paper, we will show the e-nose system using neural networks and its application to fire detection system. Fina... [more] |
SANE2016-40 pp.3-11 |
| NLP | 2013-07-09 14:55 |
Okinawa | Miyako Island Marine Terminal | An Optimization Method using Recurrent Neural Networks for Power Grid Systems with Various Topologies Keisuke Kimura, Takayuki Kimura, Kenya Jin'no (NIT) NLP2013-46 |
Because demands of electricity due to to rapid increasing of population growth, depletion of fossil fuels, and reducing ... [more] | NLP2013-46 pp.111-115 |
| CS | 2013-07-05 09:40 |
Okinawa | Fukugogata-Kokyo-Shisetsu (Yonaguni Island) | An optimization method for electric power interchanging on various power grid topologies Keisuke Kimura, Takayuki Kimura, Takefumi Hiraguri, Kenya Jin'no (Nippon Inst. of Tech.) CS2013-24 |
Because demands of electricity due to to rapid increasing of population growth, depletion of fossil fuels, and reducing ... [more] | CS2013-24 pp.87-92 |
| NLP | 2013-04-25 13:50 |
Aichi | Nagoya campus, Chukyo University | Optimal Operation for WS model type Power Grid Systems Using Recurrent Neural Networks Keisuke Kimura, Takayuki Kimura, Kenya Jin'no (Nippon Inst. of Tech.) NLP2013-7 |
Because large demands for electricity due to rapid increasing of population growth, depletion of fossil fuels, and reduc... [more] | NLP2013-7 pp.35-40 |
| NC, MBE (Joint) |
2010-03-09 11:30 |
Tokyo | Tamagawa University | SHIN: A Hardware Architecture for over 100M Neurons Real-time Neural-net Shinjiro Toyoda (HRI-JP) NC2009-92 |
SHIN: Synchronous Hierarchical Information Network is a data transfer architecture which solves the enormous wiring issu... [more] | NC2009-92 pp.29-34 |
| IPSJ-SLDM, VLD, CPSY, RECONF [detail] | 2010-01-26 13:55 |
Kanagawa | Keio Univ (Hiyoshi Campus) | Computer Aided Detection System Implementation for recognize cancer in Mammograms over a FPGA Yessica Suarez Henandez (IPN/Univ. of Electro-Comm.), Sayaka Akioka, Tsutomu Yoshinaga, Volodymyr Ponomaryov, Gonzalo Duchen Sanchez (Univ. of Electro-Comm.) VLD2009-77 CPSY2009-59 RECONF2009-62 |
A Computer Aided Detection, CAD, system was implemented using a FPGA development board to recognize cancer in Mammogram.... [more] | VLD2009-77 CPSY2009-59 RECONF2009-62 pp.47-52 |
| NC | 2009-01-19 11:20 |
Hokkaido | Hokkaido Univ. | Handwritten Character Recognition by NGxSOM Kouichi Gunya, Makoto Otani, Tetsuo Furukawa (Kyushu Inst. of Tech.) NC2008-84 |
We have proposed SOM$^2$ and NG$\times$SOM algorithms. These algorithms have the ability of representing a set of data d... [more] | NC2008-84 pp.13-18 |
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