Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
RCC, ISEC, IT, WBS |
2023-03-15 10:20 |
Yamaguchi |
(Primary: On-site, Secondary: Online) |
Efficient composition of encoding polynomial in distributed coded computing scheme Daisuke Hibino, Tomoharu Shibuya (Sophia Univ.) IT2022-119 ISEC2022-98 WBS2022-116 RCC2022-116 |
Distributed computing is one of the powerful solutions for computational tasks that need the massive size of dataset. La... [more] |
IT2022-119 ISEC2022-98 WBS2022-116 RCC2022-116 pp.325-330 |
NLP |
2022-08-02 10:15 |
Online |
Online |
A new method for the system of nonlinear equations
-- Newton-Raphson method and W4 method -- Hirotada Okawa (WIAS) NLP2022-29 |
There is no successful single method that can solve any system of nonlinear equations so far. Although the Newton-Raphs... [more] |
NLP2022-29 pp.15-19 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 16:00 |
Online |
Online |
On the Study of Second-Order Training Algorithm using Matrix Diagonalization based on Hutchinson estimation Ryo Yamatomi, Shahrzad Mahboubi, Hiroshi Ninomiya (Shonan Inst. Tec.) NLP2021-89 MICT2021-64 MBE2021-50 |
In this study, we propose a new training algorithm based on the second-order approximated gradient method, which aims to... [more] |
NLP2021-89 MICT2021-64 MBE2021-50 pp.67-70 |
IE, SIP, BioX, ITE-IST, ITE-ME [detail] |
2021-06-03 16:00 |
Online |
Online |
Fast Implementation of the Lossless Image Coding Method Based on Example Search and Probability Model Optimization Hiroki Kojima, Yusuke Kameda, Yasuyo Kita, Ichiro Matsuda, Susumu Itoh (Tokyo Univ of Science.) SIP2021-3 BioX2021-3 IE2021-3 |
We previously proposed a lossless image coding method based on example search and probability model optimization. In the... [more] |
SIP2021-3 BioX2021-3 IE2021-3 pp.10-14 |
SANE, SAT (Joint) |
2021-02-19 14:55 |
Online |
Online |
Signal Decomposition of Collided Packets Employing Highly Accurate Estimation of Doppler Frequencies in Space-based AIS Kohei Nozaki, Yuwa Takanezawa, Yuyuan Chang, Kazuhiko Fukawa (Tokyo Tech), Daichi Hirahara (JAXA) SAT2020-38 |
The automatic identification system (AIS) aims at communications among ships or between base stations on seaside and shi... [more] |
SAT2020-38 pp.48-53 |
IE |
2021-01-21 14:00 |
Online |
Online |
[Invited Talk]
Lossless Image/Video Coding Method Based on Probability Model Estimation and Optimization Kyohei Unno (KDDI Research) IE2020-36 |
In this talk, the lossless image/video coding method that is proposed by the author is introduced. The proposed method e... [more] |
IE2020-36 p.8 |
NLP, MSS (Joint) |
2019-03-15 14:55 |
Fukui |
Bunkyo Camp., Univ. of Fukui |
On the Influence of Momentum term in quasi-Newton method Shahrzad Mahboubi (SIT), Indrapriyadarsini s (Shizuoka Univ.), Hiroshi Ninomiya (SIT), Hideki Asai (Shizuoka Univ.) NLP2018-137 |
The Nesterov's Accelerated quasi-Newton (NAQ) method was derived from the quadratic approximation of the error function ... [more] |
NLP2018-137 pp.69-74 |
NLP |
2018-04-27 14:45 |
Kumamoto |
Kumaoto Univ. |
A Distributed Algorithm for Multi-Agent Networks to Solve Sandberg-Willson Equations Masaaki Takeuchi, Norikazu Takahashi (Okayama Univ.) NLP2018-23 |
We propose a distributed algorithm for multi-agent networks to solve Sandberg-Willson equations, which are well-known in... [more] |
NLP2018-23 pp.111-116 |
VLD, HWS (Joint) |
2018-02-28 09:30 |
Okinawa |
Okinawa Seinen Kaikan |
On Fast Computation of RBF Approximate Function by FPGA Implementation Shogo Masuda, Shinobu Nagayama, Masato Inagi, Shin'ichi Wakabayashi (Hiroshima City Univ.) VLD2017-89 |
Radial basis functions (RBFs) are used for function fitting (approximation) of discrete data in various fields such as m... [more] |
VLD2017-89 pp.1-6 |
NLP |
2017-07-13 13:00 |
Okinawa |
Miyako Island Marine Terminal |
A Newton-Type Algorithm for Nonnegative Matrix Factorization with Alpha-Divergence Satoshi Nakatsu, Norikazu Takahashi (Okayama Univ.) NLP2017-31 |
Nonnegative Matrix Factorization (NMF) is an operation that decomposes a given nonnegative matrix into two nonnegative f... [more] |
NLP2017-31 pp.17-22 |
NLP |
2017-07-13 13:25 |
Okinawa |
Miyako Island Marine Terminal |
On the Efficiency of Limited-Memory quasi-Newton Training using Second-Order Approximation Gradient Model with Inertial Term Shahrzad Mahboubi, Hiroshi Ninomiya (SIT) NLP2017-32 |
In recent years, along with large-scale data, it is expected that the scale of neural network will be large too. Therefo... [more] |
NLP2017-32 pp.23-28 |
SIP, CAS, MSS, VLD |
2017-06-19 11:20 |
Niigata |
Niigata University, Ikarashi Campus |
An Optimization Method for Automotive Engine Control Parameters Using Gradient Methods Shogo Masuda, Shinobu Nagayama, Masato Inagi, Shin'ichi Wakabayashi (Hiroshima City Univ.) CAS2017-6 VLD2017-9 SIP2017-30 MSS2017-6 |
In this study, we address a problem to obtain optimum control parameters by computing an inverse image of the target out... [more] |
CAS2017-6 VLD2017-9 SIP2017-30 MSS2017-6 pp.31-36 |
EE |
2016-11-29 14:40 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
The Fast MPPT Algorithm and Stability Analysis Soichiro Nakamura (SEL), Minoru Iwasa (JAXA), Masatoshi Nakahara (Sojo Univ.) EE2016-46 |
Fast MPPT (maximum power point tracking) is required for the satellite. If the fast MPPT is realized, it is possible to ... [more] |
EE2016-46 pp.93-98 |
VLD, CAS, MSS, SIP |
2016-06-17 10:30 |
Aomori |
Hirosaki Shiritsu Kanko-kan |
An FPGA Implementation of Real-time Optical Flow Estimation Processor Yu Suzuki, Masato Ito, Satoshi Kanda, Tetsuya Matsumura (Nihon Univ.), Kousuke Imamura, Yoshio Matsuda (Kanazawa Univ.) CAS2016-21 VLD2016-27 SIP2016-55 MSS2016-21 |
A real-time optical flow processor has been implemented using single FPGA chip. By introducing four effective methods, m... [more] |
CAS2016-21 VLD2016-27 SIP2016-55 MSS2016-21 pp.115-120 |
NC, NLP (Joint) |
2016-01-29 12:10 |
Fukuoka |
Kyushu Institute of Technology |
Accelerated quasi-Newton Training using Nesterov's Gradient Method Hiroshi Ninomiya (SIT) NLP2015-141 |
This paper describes a new quasi-Newton based accelerated technique for training of neural networks. Recently, Nesterov’... [more] |
NLP2015-141 pp.87-92 |
NLP, CAS |
2015-10-06 11:00 |
Hiroshima |
Aster Plaza |
Passband Flat Stopband Lp-Norm Critarion Low-Pass Digital Differentiator with Low-Delay Specification Ryosuke Kunii, Kiyoshiro Hamamoto, Takashi Yoshida, Naoyuki Aikawa (TUS) CAS2015-37 NLP2015-98 |
In this paper, we propose a digital differentiator that reduces the group delay in passband. The proposed differentiator... [more] |
CAS2015-37 NLP2015-98 pp.87-90 |
AP, WPT (Joint) |
2014-10-15 16:20 |
Hokkaido |
Hokkaido University, Clark Memorial Student Center |
Studies on detection of cerebrovascular disease by inverse scattering problem
-- Imaging of Intracranial Tissue by Inverse Scattering Problem -- Yoshihiko Kuwahara (Shizuoka Univ.) AP2014-112 |
This report present that we can visualize organization structures of the complicated human body by solving the inverse s... [more] |
AP2014-112 pp.19-24 |
EMCJ, EST |
2014-09-12 13:50 |
Hokkaido |
Kitami Inst. Technology |
An Analysis of Complex Permittivity of Electromagnetic Wave Absorber Using Transparent Liquid Osamu Miura, Hiroki Anzai (Tsuruoka-NCT) EMCJ2014-38 EST2014-52 |
In this study, reducing electric wave is realized by laminated glass and transparent wave absorption liquid. It is neede... [more] |
EMCJ2014-38 EST2014-52 pp.41-46 |
CAS, SIP, MSS, VLD, SIS [detail] |
2014-07-09 15:50 |
Hokkaido |
Hokkaido University |
high speed super-resolution based on compressed sensing Tomohiro Yamashita, Jaehoon Yu, Yoshinori Takeuchi, Masaharu Imai (Osaka Univ.) CAS2014-16 VLD2014-25 SIP2014-37 MSS2014-16 SIS2014-16 |
This paper proposes a speed-up superresolution(SR) method based on
compressed sensing, where SR is a class of technique... [more] |
CAS2014-16 VLD2014-25 SIP2014-37 MSS2014-16 SIS2014-16 pp.75-80 |
EE, CPM |
2014-02-27 14:00 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
The Simulation of Fast MPPT Algorithm by Newton's Method for a Satellite. Soichiro Nakamura (Smart Energy Lab), Minoru Iwasa (JAXA), Masatoshi Nakahara (Sojo Univ.) EE2013-54 CPM2013-155 |
The solar power generation about the spin controlled satellite, it is required realizing a high speed MPPT because the m... [more] |
EE2013-54 CPM2013-155 pp.31-35 |