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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 22  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE, NLP, MICT
(Joint) [detail]
2024-01-25
16:20
Tokushima Naruto University of Education Peformance Comparisons of Multi-objective Optimization Methods for Class-E Amplifier Design
Tsuneki Fujita, Yuichi Tanji, Haruna Matsushita (Kagawa Univ.) NLP2023-117 MICT2023-72 MBE2023-63
Switching power converters are used everywhere, but it becomes an issue that their noise level at high frequencies is hi... [more] NLP2023-117 MICT2023-72 MBE2023-63
pp.158-161
EMCJ 2023-11-24
12:35
Tokyo Kikai-Shinko-Kaikan
(Primary: On-site, Secondary: Online)
A Study on Measurement Method for Mixed-Mode S Parameter of Termination Structures in Differential Communication Line
Masahiro Yoshida, Yusuke Yano, Jianqing Wang (NIT) EMCJ2023-72
In recent years, the evolution of automobiles has led to demands for higher speed, higher capacity, and higher reliabili... [more] EMCJ2023-72
pp.1-6
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
HCGSYMPO
(2nd)
2022-12-14
- 2022-12-16
Kagawa Onsite (Sunport Takamatsu) and Online
(Primary: On-site, Secondary: Online)
Color Impression Compensation and Sharing Between Observers Based on Subjective Assessments Using Simplicial Maps
Ryo Kamiyama, Jinhui Chao (Chuo Univ.)
Interactive Evolutionary Computation (IEC) has been proposed as a method that enables color compensation by adjusting co... [more]
HCGSYMPO
(2nd)
2022-12-14
- 2022-12-16
Kagawa Onsite (Sunport Takamatsu) and Online
(Primary: On-site, Secondary: Online)
Interactive Fashion Coordinate System Considering Color Combinations based on Impression Words and Sight Characteristics on Color Difference
Takashi Wakasugi, Akira Hara, Shin Kamada, Tetsuyuki Takahama (Hiroshima City Univ.)
We propose a system that optimizes fashion coordination according to the user’s preference using interactive evolutionar... [more]
NLP, CCS 2021-06-11
13:30
Online Online Performance Investigation of Bifurcation Point Search Method Using Differential Evolution in Discrete Dynamical Systems
Ryo Adachi, Haruna Matsushita (Kagawa Univ.), Hiroaki Kurokawa (Tokyo Univ. of Technology), Takuji Kousaka (Cyukyo Univ.) NLP2021-6 CCS2021-6
Nested particle swarm optimization (NLPSO) has been proposed as a bifurcation point derivation method that doesnot use g... [more] NLP2021-6 CCS2021-6
pp.24-27
RCS 2020-06-25
11:15
Online Online A Study on Loose Beam Forming Using Differential Evolution
Tatsuki Otsuka, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Junichiro Hagiwara, Takanori Sato (Hokkaido Univ.) RCS2020-34
In multi-user massive MIMO systems, it is concerned that the computational load to form a weight increases drastically a... [more] RCS2020-34
pp.67-72
NC, MBE
(Joint)
2020-03-05
14:15
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
NC2019-97 The purpose of this study is to clarify the search performance and characteristics of differential evolution (DE) and pa... [more] NC2019-97
pp.125-130
CQ
(2nd)
2019-09-05
12:50
Tokyo Inter-University Seminar House [Poster Presentation] A Study of QoE Estimation method by Machine Learning
Hiroto Kurosawa, Takuya Shindo, Takefumi Hiraguri (NIT)
In recent years, machine learning such as deep learning has attracted attention. Various applications have been proposed... [more]
CS 2019-07-04
09:15
Kagoshima Amami City Social Welfare Center A Study of Parameter Control Method Based on QoE by Machine learning
Hiroto Kurosawa, Takuya Shindou, Takefumi Hiraguri (NIT) CS2019-26
In recent years, machine learning such as deep learning has attracted attention. Various applications have been proposed... [more] CS2019-26
pp.55-56
EMM 2019-01-11
09:55
Miyagi Tohoku Univ. Study on Digital Audio Watermarking Method Based on Singular Spectrum Analysis with Automatic Parameter Estimation Using a Convolutional Neural Network
Kasorn Galajit (JAIST), Jessada Karnjana (NECTEC), Pakinee Aimmanee (SIIT), Masashi Unoki (JAIST) EMM2018-86
An audio watermarking method based on the singular-spectrum analysis (SSA) with a convolutional neural network (CNN) for... [more] EMM2018-86
pp.25-30
NLP 2018-08-08
15:25
Kagawa Saiwai-cho Campus, Kagawa Univ. Hierarchical Lossless Image Coding Using CNN Predictors Optimized by Adaptive Differential Evolution
Yuki Kawai, Yuki Nagano, Hideharu Toda, Hisashi Aomori (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Ichiro Matsuda, Susumu Itoh (TUS) NLP2018-59
We have been proposed on hierarchical lossless image coding using predictors composed of Cellular Neural Network(CNN).Th... [more] NLP2018-59
pp.35-38
MBE, NC
(Joint)
2018-05-19
15:45
Toyama Univ. of Toyama On Simple Growing Reservoir Computing Systems
Naoki Sakamoto, Toshimichi Saito (HU) NC2018-4
This paper studies basic function of a simple reservoir computing system. The system is based on a ring-type recurrent n... [more] NC2018-4
pp.15-18
NLP 2017-11-05
14:00
Miyagi Research Institute of Electrical Communication Tohoku University Optimization for switching phase of PWM inverter
Asuna Yamasaki, Kenya Jin'no (NIT) NLP2017-67
In this article, we optimize the switching phase of the PWM inverter by using a differential evolution algorithm to impr... [more] NLP2017-67
pp.13-18
CCS 2016-11-04
14:20
Kyoto Kyoto Sangyo Univ. (Musubiwaza Bldg.) A Study on Computational Cost Reduction Using Differential Evolution for Signal Demodulation Method Based on Pseudo-Captured Image in Image-Sensor-Based Visible Light Communication
Shintaro Arai (Okayama Univ. of Sci.), Haruna Matsushita (Kagawa Univ.), Yuki Ohira, Tomohiro Yendo (Nagaoka Univ. of Tech.) CCS2016-35
This paper focuses on an image-sensor-based visible light communication system using LED (transmitter) and an image sens... [more] CCS2016-35
pp.25-30
HCGSYMPO
(2nd)
2013-12-18
- 2013-12-20
Ehime Matsuyama Multi-Purpose Community Cente Optimization of Fragrance using Paired Comparison based Interactive Differential Evolution and Utilization of Selection Time in Comparison
Makoto Fukumoto, Shinpei Koga, Keiji Kawai (FIT), Makoto Inoue (Akita NCT), Jun-ichi Imai (CIT)
We have already proposed a method that creates fragrance suited to each user’s preference by using Interactive Different... [more]
NC, NLP 2013-01-25
09:30
Hokkaido Hokkaido University Centennial Memory Hall Application of differential evolution to the maximum power point search
Masaya Muraoka, Naoto Ando, Toshimichi Saito (Hosei Univ.) NLP2012-125 NC2012-115
This paper presents state-dependent insensitive differential evolution and considers its application to the maximum powe... [more] NLP2012-125 NC2012-115
pp.119-124
HCS, HIP, HI-SIGCOASTER [detail] 2012-05-23
14:15
Okinawa Okinawa Industry Support Center Kansei information of townscape portrayed in Harbin historical postcards
Nozomi Takahashi, Takahiro Nukui, Masashi Takahashi, Ryuta Suzuki, Hiroyuki Yoshida, Seiichi Tani, Mitsuhiro Matsushige, Hiroshi Yamada (Nihon Univ.) HCS2012-28 HIP2012-28
We attempted to rate the impression of the townscape of Harbin, China in the three different periods (before the Bolshev... [more] HCS2012-28 HIP2012-28
pp.205-210
MBE, NC
(Joint)
2012-03-16
10:15
Tokyo Tamagawa University Exploring ability of various Insensitive Differential Evolution
Itsuki Handa, Toshimichi Saito (HU) NC2011-180
This paper presents an insensitive differential evolution for multi-solution problems.
The algorithm consists of globa... [more]
NC2011-180
pp.347-352
MBE, NC
(Joint)
2012-03-16
10:40
Tokyo Tamagawa University Application of Population-based Optimizers to Exploring the Maximum Power Point
Masaya Muraoka, Noriaki Mikami, Toshimichi Saito (HU) NC2011-181
This paper studies application of population-based optimizers to exploring maximum power points in potovoltaic systems.
... [more]
NC2011-181
pp.353-358
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