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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIS | 2019-03-06 14:30 |
Tokyo | Tokyo Univ. Science, Katsushika Campus | Complementary Color Reconstruction by Autoencoders Akihiro Suzuki, Hakaru Tamukoh (Kyutech)  SIS2018-41 |
This study proposes a novel training method for autoencoders (AEs) that gives the AEs complementary color images as targ... [more] | SIS2018-41 pp.23-28 |
| SIS | 2019-03-07 12:15 |
Tokyo | Tokyo Univ. Science, Katsushika Campus | A Color Quantization Method Preserving Infrequent Salient Colors for Image Enlargement Yukiya Fukuda, Hideaki Misawa (NIT, UC), Hakaru Tamukoh (KIT), Ryosuke Kubota (NIT, UC), Byungki Cha, Takashi Aso (KIIT) SIS2018-51 |
In this report, we propose an image enlargement algorithm with a color quantization considering infrequent salient color... [more] | SIS2018-51 pp.75-80 |
| NLP, NC (Joint) |
2019-01-23 15:20 |
Hokkaido | The Centennial Hall, Hokkaido Univ. | An integrated circuit model of hippocampus and entorhinal cortex for home service robots Ryo Shimodome, Masashi Kawauchi, Kensuke Takada, Katsumi Tateno, Hakaru Tamukoh, Takashi Morie (Kyutech) NC2018-39 |
To construct brain-like memory systems, which are desired in the current artificial intelligence, with dedicated hardwar... [more] | NC2018-39 pp.5-10 |
| SIS | 2018-12-07 10:30 |
Yamaguchi | Hagi Civic Center | Hardware Oriented Object Recognition Neural Network using Depth Image Yuma Yoshimoto, Hakaru Tamukoh (KIT) SIS2018-32 |
In recent years, deep learning using Convolutional Neural Network (CNN) has attracted attention as a powerful method for... [more] | SIS2018-32 pp.55-60 |
| SIS, ITE-BCT | 2018-10-26 11:30 |
Kyoto | Kyoto University Clock Tower Centennial Hall | A Hardware Implementation of Craik-O'Brien Effect-Based Contrast Improvement for Dichromats Tomohiro Ono (Kyutech), Ryosuke Kubota (NITUC), Noriaki Suetake (YU), Hakaru Tamukoh (Kyutech) SIS2018-20 |
In this paper, we design a digital hardware circuit to realize the contrast improvement algorithm for dichromats. The pr... [more] | SIS2018-20 pp.95-100 |
| SIS, IPSJ-AVM, ITE-3DMT [detail] | 2018-06-07 14:20 |
Hokkaido | Jozankei View Hotel | Estimation of heart rate variability parameters using pulse waved measured by smartphone cameras Yuichiro Tanaka, Akihiro Suzuki (Kyutech), Hirohisa Isogai (Kyushu Sangyo University), Masaaki Iwasaki (Bratech), Hakaru Tamukoh (Kyutech) SIS2018-4 |
Heart rate variability (HRV) parameters are used for analysing activations of autonomic nervous. Generally, the HRV para... [more] | SIS2018-4 pp.35-38 |
| RECONF | 2018-05-25 14:30 |
Tokyo | GATE CITY OHSAKI | [Invited Lecture]
Intelligent processing on robots expected to achieve speed-up and low-power consumption Hakaru Tamukoh, Takeshi Nishida, Yutaro Ishida (Kyutech) RECONF2018-16 |
(To be available after the conference date) [more] | RECONF2018-16 pp.75-80 |
| ICD | 2018-04-19 13:00 |
Tokyo | [Invited Talk]
VLSI implementation of chaotic Boltzmann machine for deep learning hardware Takashi Morie, Masatoshi Yamaguchi, Ichiro Kawashima, Hakaru Tamukoh (Kyushu Inst. of Tech.) ICD2018-4 |
The Boltzmann machine (BM) model has been proposed as an optimization-problem solver as well as a learning machine using... [more] | ICD2018-4 p.13 |
|
| SIS | 2018-03-08 15:25 |
Aichi | Meijo Univ. Tempaku Campus | DNN:-MPC: A Hardware oriented Deep Neural Networks for Model Predictive Control Kentaro Honda, Naoki Iwaya (Kyutech), Teppei Hirotsu, Toshiaki Nakamura, Tatuya Horiguchi (HITACHI), Hakaru Tamukoh (Kyutech) SIS2017-60 |
Model Predictive Control (MPC) is one of the control systems, where it uses "predictive model" to control objects. Howev... [more] | SIS2017-60 pp.17-22 |
| SIS | 2017-12-14 13:50 |
Tottori | Tottori Prefectural Center for Lifelong Learning | Object Recognition System using Deep Learning with Depth Image for Home Service Robots Yuma Yoshimoto, Hakaru Tamukoh (Kyutech) SIS2017-55 |
In an aging society with fewer children, home service robots are expected to be realized. In order to bring a realizati... [more] |
SIS2017-55 pp.123-128 |
| SIS, IPSJ-AVM | 2017-10-12 15:20 |
Nara | Todaiji Culture Center | An autoencoder reversing abnormal inputs Akihiro Suzuki, Hakaru Tamukoh (Kyushu Inst. of Tech.) SIS2017-26 |
Usages of autoencoders (AEs) are not only a dimension reducer, but a generative model using reconstruction. AEs are used... [more] | SIS2017-26 pp.29-34 |
| SIS | 2017-03-03 11:20 |
Kanagawa | Kanagawa Inst. Tech. Yokohama Office | Implementation of Fast Edge-preserving Smoothing Filter based on Image Gradient on a Hardware/Software Co-design System Hiroto Komatsu (NIT, Tokuyama Col.), Hakaru Tamukoh (Kyutech), Noriaki Suetake (Yamaguchi Univ.), Takanori Koga (NIT, Tokuyama Col.) SIS2016-59 |
Edge-preserving smoothing is the processing that smooths unnecessary small amplitude signals with keeping primal edges i... [more] | SIS2016-59 pp.95-100 |
| 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 |
| SIS | 2016-12-08 15:40 |
Hiroshima | Hiroshima City Univ. | SIS2016-37 |
[more] | SIS2016-37 pp.49-52 |
| SIS | 2016-06-10 10:45 |
Hokkaido | Kushiro Tourism and Convention cent. | FPGA implementation of Autoencoders for hw/sw complex system Suzuki Akihiro, Morie Takashi, Tamukoh Hakaru (Kyutech) SIS2016-13 |
In this report, we propose a digital circuit design of Autoencoders (AE) and its Field Programmable Gate Array (FPGA) im... [more] | SIS2016-13 pp.65-68 |
| SIS | 2016-03-11 12:00 |
Tokyo | Tokyo City Univ. | A robust background subtraction algorithm and MRCoHOG for detection boats on the sea Naoki Matsubara, Kouji Okumura (Kyutech), Shaoning Pang (UNITEC), Hakaru Tamukoh (Kyutech) SIS2015-68 |
Recently, overexploitation by IUU (Illegal, unreported and unregulated) fishing becomes a big problem. Illegal fishing ... [more] |
SIS2015-68 pp.117-122 |
| SIS | 2015-12-03 14:25 |
Fukui | Matsuya-sensen (Awara city, Fukui) | A Lightness Modification Method Based on Neighborhood Color2Gray Algorithm Considering Craik-O'Brien Effect for Dichromats Islam Ali (Nagoya City Univ.), Shi Bao (Inner Mongolia Univ. of Tech.), Go Tanaka (Nagoya City Univ.), Hakaru Tamukoh (Kyutech), Noriaki Suetake (Yamaguchi Univ.) SIS2015-32 |
Dichromats cannot distinguish certain color pairs. In this report, we propose a method which improves visibility for the... [more] | SIS2015-32 pp.19-22 |
| SIS | 2015-03-05 14:15 |
Tokyo | Meiji Univ. Nakano Campus (Tokyo) | Visibility Improvement for Dichromats based on Simplified Craik O'Brien Effect Generation Method Hakaru Tamukoh (Kyutech), Go Tanaka (Nagoya City Univ.), Noriaki Suetake (Yamaguchi Univ.) SIS2014-98 |
[more] | SIS2014-98 pp.39-44 |
| NC | 2015-01-29 15:40 |
Fukuoka | Kyushu Institute of Technology | Digital Hardware Implementation of Pulse-Coupled Phase Oscillator Networks and Its Application Hakaru Tamukoh, Yasuhiro Suedomi, Kenji Matsuzaka, Michio Tanaka, Takashi Morie (Kyutech) NC2014-60 |
[more] | NC2014-60 pp.15-20 |
| CAS | 2013-01-29 16:25 |
Oita | Beppu International Convention Center | SAT Solver based Motion Planning for Robots Takuya Suzuki, Hakaru Tamukoh, Masatoshi Sekine (TUAT) CAS2012-91 |
As the scale of robot systems becoming larger, it will be difficult for the developer to manually program each motion, s... [more] | CAS2012-91 pp.137-141 |
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