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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 88 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE
(Joint)
2020-03-05
10:20
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
An extension of the H_infinity learning to deep neural networks
Yasuhiro Sugawara, Kiyoshi Nishiyama (Iwate University) NC2019-92
In recent years, deep neural networks have achieved remarkable research results. In this study, we propose a method to e... [more] NC2019-92
pp.95-100
NC, MBE
(Joint)
2019-03-05
09:30
Tokyo University of Electro Communications Novel Backpropagation Algorithm Considering Energy
Rintaro Kanada, Masafumi Hagiwara (Keio Univ.) NC2018-63
In this paper, we propose a novel backpropagation(BP) algorithm considering energy. Neural network (NN) can be classifie... [more] NC2018-63
pp.105-110
EA, US
(Joint)
2019-01-23
10:50
Kyoto Doshisha Univ. [Invited Talk] The study of estimation method for sound exposure level for evaluating the effect of marine organism by radiated noise from ship
Toshio Tsuchiya, Yukino Hirai, Etsuro Shimizu (TUMSAT) US2018-103
In recent years, investigation of the adverse influence by underwater noise from shipping on marine organisms is activel... [more] US2018-103
pp.117-122
VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC
(Joint) [detail]
2018-12-06
10:55
Hiroshima Satellite Campus Hiroshima On the Generation of Random Capture Safe Test Vectors Using Neural Networks
Sayuri Ochi, Kenichirou Misawa, Toshinori Hosokawa, Yukari Yamauchi, Masayuki Arai (Nihon Univ.) VLD2018-51 DC2018-37
Excessive capture power consumption at scan testing causes the excessive IR drop and it might cause test-induced yield l... [more] VLD2018-51 DC2018-37
pp.89-94
MBE, NC
(Joint)
2018-03-14
15:30
Tokyo Kikai-Shinko-Kaikan Bldg. Gradually Stacking Neural Network
Shunya Sasaki, Masafumi Hagiwara (Keio Univ) NC2017-97
In this paper, we propose a neural network with multiple layers in a stepwise manner. Neural networks (NNs) become more ... [more] NC2017-97
pp.175-180
CS, CAS 2018-03-13
15:55
Fukuoka Nishijin Plaza, Kyushu University A Channel State Information Feedback Scheme for Multi-user MIMO using Guard Band Frequency Response extrapolated by Adaptive Filter
Futoshi Fukuda, Fumio Takahata (Waseda Univ.) CAS2017-159 CS2017-113
Several compression schemes of channel state information (CSI) for the downlink multi-user MIMO are proposed, in which a... [more] CAS2017-159 CS2017-113
pp.145-150
US, EA
(Joint)
2018-01-23
13:00
Osaka   [Poster Presentation] Time Domain Numerical Analysis of Acoustical Doppler Effect Using CIP-MOC Method
Takuro Sonobe, Kan OKubo, Norio Tagawa (Tokyo Met. Univ.), Takao Tsuchiya (Doshisha Univ.) US2017-97
The constrained interpolation profile (CIP) method is
the calculation method to incorporate the spatial differential v... [more]
US2017-97
pp.77-82
CS 2017-07-27
16:00
Nagasaki Fukue Bunka Kaikan [Invited Talk] Design and Analysis of Success Prioritized Slotted ALOHA with Sleep Function
Daisuke Umehara (Kyoto Inst. of Tech.) CS2017-29
The frame duration will be shortened in advanced wireless sensor data gathering because the frame data size is small and... [more] CS2017-29
pp.83-88
MBE, NC
(Joint)
2017-05-26
13:50
Toyama Toyama Prefectural Univ. A Parallel Forward-Backward Propagation Learning Rule for Auto-Encoder
Yoshihiro Ohama, Takayoshi Yoshimura (Toyota CRDL) NC2017-3
Auto-encoder is known as a hourglass neural network for acquiring essential representations from multi-dimensional data ... [more] NC2017-3
pp.13-18
IA, SITE, IPSJ-IOT [detail] 2017-03-03
14:15
Okinawa Culture Resort Festone (Okinawa) Characteristic Analysis of Distributed Flow Control DFC-BP+
Naoki Egawa, Kei Katayama, Shota Agemura, Hiroyuki Ohsaki (Kwansei Gakuin Univ.) SITE2016-63 IA2016-93
In this paper, we investigate characteristics of a distributed and scalable flow control mechanism called DFC-BP+ (Distr... [more] SITE2016-63 IA2016-93
pp.19-24
SP, SIP, EA 2017-03-01
12:40
Okinawa Okinawa Industry Support Center [Poster Presentation] Conversion from linear microphone array signal to cylindrical binaural signal
Asuka Yamazato, Yoichi Haneda (UEC) EA2016-89 SIP2016-144 SP2016-84
There is currently a commercial need for an audio reproduction system with spatial sound localization for a head-mount d... [more] EA2016-89 SIP2016-144 SP2016-84
pp.43-48
SP, SIP, EA 2017-03-01
12:40
Okinawa Okinawa Industry Support Center [Poster Presentation] Application and Evaluation of CIP Methods to Acoustic Wave Propagation Analysis with Multi-dimensional Advection
Akihiro Fukuda, Kan Okubo (Tokyo Met. Univ.), Takuya Oshima (Niigata Univ.), Takao Tsuchiya (Doshisha Univ.), Masashi Kanamori (JAXA) EA2016-90 SIP2016-145 SP2016-85
The constrained interpolation profile (CIP) method is a calculation method with less numerical dispersion error, which u... [more] EA2016-90 SIP2016-145 SP2016-85
pp.49-54
RCS 2016-10-20
13:50
Kanagawa YRP (Yokosuka) [Invited Lecture] Technical Challenges to Realize mmWave based 5G Cellular Networks
Gia Khanh Tran, Kei Sakaguchi, Kiyomichi Araki, Makoto Ando, Jiro Hirokawa, Kazuhiko Fukawa, Yuyuan Chang, Jun-ichi Takada, Kentaro Saito, Akira Matsuzawa, Ken-ichi Okada, Masaya Miyahara (Tokyo Tech) RCS2016-167
Tokyo Institute of Technology is promoting millimeter-wave (mmWave) heterogeneous network (HetNet) as an advanced archit... [more] RCS2016-167
pp.83-88
SC 2016-08-26
11:00
Tokyo Kikai-Shinko-Kaikan Bldg. B2F Room No.2 Improvement of Trust Value Prediction Using Text Mining for Recommender System
Incheon Paik, Tomoya Maemori (UoA) SC2016-12
Recommender system will help to provide a list of items information that users are interested in. And with growth of soc... [more] SC2016-12
pp.7-11
NLP 2016-05-26
14:50
Kochi Kochi Univ. Decreasing Gradient of Sigmoid Functions in Back Propagation of Feed-Forward Neural Netowork
Shinaburo Kittaka, Yoko Uwate, Nishio Yoshihumi (Tokushima Univ.) NLP2016-5
Our study is about the learning method of feed-forward neural network. Generally, the method of improvingitslearningisfo... [more] NLP2016-5
pp.25-28
MBE, NC
(Joint)
2016-03-23
11:20
Tokyo Tamagawa University Fundamental study for measurement of scattering coefficient using backscattered light -- For noninvasive measurement of blood triglyceride level --
Wang Lei, Kazuya Iinaga, Yuji Kato, Koichi Shimizu (Hokkaido Univ.) MBE2015-121
For the diagnosis of postprandial hyperlipidemia, it is necessary to measure the temporal change of the serum triglyceri... [more] MBE2015-121
pp.101-106
CW
(2nd)
2016-03-09 Tokyo   A preliminary experiment of tweet filtering by back propagation
Shumpei Fujii, Masaru Kamada (Ibaraki Univ.)
It happens that one you are following in Twitter has several aspects in his personality. Suppose you are so attracted by... [more]
IA, SITE, IPSJ-IOT [detail] 2016-03-03
11:35
Saga Nijino-Matsubara Hotel (Karatsu-shi, Saga-prefecture) A Distributed Flow Control using Backward Propagation
Kohei Tsutsumi (Kwansei Gakuin Univ), Hideaki Suzuki (NICT/CiNet), Hiroyuki Ohsaki (Kwansei Gakuin Univ) SITE2015-57 IA2015-89
In this paper, using an autonomous and distributed approach, we aim at realizing a control mechanism, which is scalable ... [more] SITE2015-57 IA2015-89
pp.23-28
RCS 2015-10-01
13:30
Kanagawa YRP (Yokosuka) [Invited Lecture] 5G Wireless Backhaul for High-Speed Rail using 90GHz Millimeter-Waves
Satoshi Tamaki, Hitoshi Ishida, Eriko Takeda, Toshiyuki Saito, Michitaka Okuno, Keisuke Yamamoto, Takashi Yano, Masaaki Shida, Nobuhiko Shibagaki (Hitachi) RCS2015-168
In 5th generation wireless communication systems, in addition to frequency bands widely used at 4th generation, use of m... [more] RCS2015-168
p.63
EID, ITE-IDY, IEIJ-SSL, IEE-EDD, SID-JC [detail] 2015-01-22
15:00
Kyoto Ryukoku University Display Application of Waveguide Propagation Light Controlled by LC Medium
Ginga Sato, Yasufumi Iimura (TUAT)
Currently, liquid crystal displays (LCDs) are widely used in all the fields of human life, which requests extra-low powe... [more]
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