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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka | Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Exercise video search and supplement recommendation to support increasing physical activity Yuta Ohkubo, Tomoko Kajiyama (Hiroshima City Univ.) |
In recent years, as people's physical activity levels have decreased, there are concerns that the onset and progression ... [more] | |
| NLP | 2023-11-28 14:55 |
Okinawa | Nago city commerce and industry association | Multi-objective optimization problems of switched dynamical systems Ryunosuke Numata, Toshmichi Saito (HU)  NLP2023-67 |
This paper studies a multi-objective optimization problem for boost converters with photovoltaic input equivalent circui... [more] | NLP2023-67 pp.39-43 |
| NC, NLP | 2023-01-28 09:50 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Performance evaluation of success-history based parameter adaptation for differential evolution for multi-objective optimization problems Yusuke Matsuzaki, Jun Adachi, Takafumi Matsuura, Takayuki Kimura (NIT) NLP2022-81 NC2022-65 |
A Multi-objective Optimization Problems (MOPs) is a problem for simultaneously optimizing objective functions with diffe... [more] | NLP2022-81 NC2022-65 pp.1-6 |
| IBISML | 2022-12-23 13:40 |
Kyoto | Kyoto University (Primary: On-site, Secondary: Online) |
Multi-objective Bayesian Optimization for Identifying Distributionally-robust Pareto-frontier Yu Inatsu (Nitech), Ichiro Takeuchi (Nagoya Univ./RIKEN) IBISML2022-59 |
Pareto optimization is one of the multi-objective optimization problems for multiple black-box functions. Recently, an o... [more] | IBISML2022-59 pp.112-119 |
| NLP | 2022-11-25 13:00 |
Shiga | (Primary: On-site, Secondary: Online) |
On a Biobjective Optimization Problem in Hysteresis associative memories Shinya Kujirai, Toshimichi Saito (HU) NLP2022-73 |
This paper studies a biobjective optimization problem in hysteresis neural networks as associative memories. The network... [more] | NLP2022-73 pp.73-76 |
| NLP | 2022-11-25 13:25 |
Shiga | (Primary: On-site, Secondary: Online) |
On a biobjective optimization problem in a Simple Swiching Converter Ryunosuke Numata, Toshimichi Saito (HU) NLP2022-74 |
This paper studies a bi-objective optimization problem in a simple model of a boost converter with a current-model switc... [more] | NLP2022-74 pp.77-81 |
| NC, MBE (Joint) |
2022-09-30 10:05 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
On evolutionary bi-objective optimization in binary associative memories Kazuma Morishita, Toshimichi Saito (HU) NC2022-39 |
This paper studies a bi-objective optimization problem in a binary associative memories(BAMs). The BAMs are characteri... [more] |
NC2022-39 pp.28-31 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2022-06-18 13:00 |
Online | Online | Speech intelligibility prediction of simulated hearing loss sounds using the Gammachirp Envelope Similarity Index (GESI)
-- Subjective data from laboratory and crowdsourced remote experiments -- Toshio Irino, Honoka Tamaru, Ayako Yamamoto (Wakayama Univ.) SP2022-17 |
We aim at developing an objective intelligibility measure (OIM) to predict speech intelligibility (SI) for individual el... [more] | SP2022-17 pp.71-76 |
| CCS | 2021-11-18 13:50 |
Osaka | Osaka Univ. (Primary: On-site, Secondary: Online) |
On a biobjective optimization problem in binary associative memories Kento Saka, Toshimichi Saito (HU) CCS2021-20 |
This paper considers a biobjective optimization problem in binary associative memories characterized by ternary connecti... [more] | CCS2021-20 pp.16-19 |
| CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] | 2020-02-27 17:00 |
Kagoshima | Yoron-cho Chuou-Kouminkan | HLS by multi-objective optimization under resource constraints
-- Approach to extracting coarse-grained parallelism using functional language -- Fukuhei Hamazaki, Tetsuro Yamazaki, Ryota Shioya (U-Tokyo), Kenichi Koizumi, Hiroshi Tezuka, Mary Inaba (U-Tokyo) CPSY2019-104 DC2019-110 |
For engineers who are not familiar with circuits, it is difficult to optimize circuit considering trade-off factors such... [more] | CPSY2019-104 DC2019-110 pp.99-104 |
| NLP, CAS | 2019-10-22 12:30 |
Gifu | Gifu Univ. | [Invited Talk]
Evolutionary multiobjective optimization and nonlinear circuits Toshimichi Saito (HU) CAS2019-29 NLP2019-69 |
Multiobjective optimization problems have been studies in various fields of science. The multiobjective optimization pro... [more] | CAS2019-29 NLP2019-69 p.33 |
| RCS, SR, SRW (Joint) |
2019-03-08 13:45 |
Kanagawa | YRP | Consideration of security for PLNC with Untrusted Relay by double-objective optimization problem Go Ikeuchi, Osamu Takyu (Shinshu Univ), Takeo Fujii (UEC), Tomoaki Ohtsuki (Keio Univ), Fumihito Sasamori, Shiro Handa (Shinshu Univ) RCS2018-335 |
In this study, we have focused on wireless communication networks which can easily construct a network by using the rela... [more] | RCS2018-335 pp.279-284 |
| CAS, NLP | 2018-10-18 14:40 |
Miyagi | Tohoku Univ. | An application of a differential evolution SHADE to multi-objective optimization problems Yuuichitou Ooto, Takayuki Kimura (NIT) CAS2018-44 NLP2018-79 |
An objective of the Multi-objective Optimization Problem is to nd the optimal Pareto solution under the situation that ... [more] | CAS2018-44 NLP2018-79 pp.39-44 |
| CAS, SIP, MSS, VLD | 2018-06-15 15:05 |
Hokkaido | Hokkaido Univ. (Frontier Research in Applied Sciences Build.) | A Rough Placement Method Using Multi-Objective Genetic Algorithm Shohei Shirageyama, Kunihiro Fujiyoshi (TUAT) CAS2018-29 VLD2018-32 SIP2018-49 MSS2018-29 |
In placement problem of LSI layout design, the main purpose is to minimize the wiring length. Analytical placement has ... [more] |
CAS2018-29 VLD2018-32 SIP2018-49 MSS2018-29 pp.149-154 |
| R | 2017-10-20 16:20 |
Kumamoto | Search for Optimal Construction Network with Multi-Objective Functions Natsumi Takahashi (Aoyama Gakuin Univ.), Tomoaki Akiba (Chiba Inst. of Tech.), Hisashi Yamamoto (Tokyo Metropolitan Univ.), Shao-Chin Sung (Aoyama Gakuin Univ.) R2017-49 |
Many networks have been applied extensively in the real world, for example, scheduling of a production and distribution ... [more] | R2017-49 pp.29-33 |
|
| NLP | 2017-07-14 14:50 |
Okinawa | Miyako Island Marine Terminal | Multi-objective Particle Swarm Optimizer Networks with Tree Topology Kyosuke Miyano, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2017-47 |
In this paper, we consider island-model multi-objective particle swarm optimization (IMOPSO) in which plural sub-swarms ... [more] | NLP2017-47 pp.103-106 |
| NLP | 2017-07-14 15:15 |
Okinawa | Miyako Island Marine Terminal | An Influence of Mutation Distribution for Evolutionary Algorithm Yuuichirou Ooto, Yuuki Morita, Hiroki Sawade, Takayuki Kimura (NIT) NLP2017-48 |
When solving the benchmark problems in which objective functions sharply fluctuate near optimum values, the Strength Par... [more] | NLP2017-48 pp.107-112 |
| EA, ASJ-H | 2016-08-09 13:00 |
Miyagi | Tohoku Gakuin Univ., Tagajo Campus | Estimation of forced-selection speech intelligibility by comparing objective measures between candidate words Kazuhiro Kondo (Yamagata Univ.) EA2016-20 |
We proposed an estimation method for forced pairwise selection speech intelligibility test that takes into account the f... [more] | EA2016-20 pp.1-6 |
| EA, ASJ-H | 2015-08-04 13:15 |
Miyagi | Tohoku Univ., Research Inst. of Electrical Communication | An Estimation Method for Two-to-One Forced Selection Intelligibility using the Articulation Index Band Correlation Kazuhiro Kondo (Yamagata Univ.) EA2015-21 |
We proposed and evaluated an estimation method for the forced selection Japanese Diagnostic Rhyme Test (DRT). The propos... [more] | EA2015-21 pp.65-70 |
| SSS | 2013-12-19 13:40 |
Tokyo | Application of Multi-objective Metaheuristics to Transmission Network Expansion Planning Hiroki Kakuta, Hiroyuki Mori, Shigeru Tamura, Yosikazu Fukuyama (Meiji Univ.) SSS2013-29 |
This paper proposes an efficient method for transmission network expansion planning in power systems. It makes use of mo... [more] | SSS2013-29 pp.5-8 |
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