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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| COMP | 2021-03-08 15:15 |
Online | Online | A hyper-heuristic for the maximum clique problem Kazuho Kanahara, Kengo Katayama (OUS), Etsuji Tomita (UEC)  COMP2020-34 |
The maximum clique problem (MCP) is one of the most important combinatorial optimization problems that has many practica... [more] | COMP2020-34 pp.30-37 |
| MSS, CAS, IPSJ-AL [detail] | 2020-11-25 16:10 |
Online | Online | Distributed convex optimization with inequality constraints over directed graphs based on row stochasticity Hiroaki Sakuma, Naoki Hayashi, Shigemasa Takai (Osaka Univ.) CAS2020-22 MSS2020-14 |
Distributed optimization is a method in which agents exchange information on the network to obtain the optimal solution ... [more] | CAS2020-22 MSS2020-14 pp.16-21 |
| NLP | 2020-05-15 13:50 |
Online | Online | Spy Algorithm for Solving Continuous Optimization Problem Dhidhi Pambudi, Masaki Kawamura (Yamaguchi Univ.) NLP2020-5 |
We proposed the Spy algorithm for solving continuous optimization problems on multimodal functions. The algorithm is one... [more] | NLP2020-5 pp.23-28 |
| RCS | 2020-04-23 - 2020-04-24 |
Online | Online | Optimal Transmission Strategy Realizing Minimum Age-of-Information of Energy Harvesting Users over Multiple-Access Channels Naoya Hirosawa (The Univ. Electro-Communications), Hiroki Iimori (JUB), Koji Ishibashi (The Univ. Electro-Communications), Giuseppe Abreu (JUB) RCS2020-8 |
In this paper, we study a sensor network composed of multiple energy harvesting nodes being capable of collecting energy... [more] | RCS2020-8 pp.43-48 |
| SP, EA, SIP | 2020-03-02 13:00 |
Okinawa | Okinawa Industry Support Center (Cancelled but technical report was issued) |
[Poster Presentation]
Restoration of clipped signal using oversampling based on differentiable and convex loss function Natsuki Ueno, Shoichi Koyama, Hiroshi Saruwatari (Univ. Tokyo) EA2019-126 SIP2019-128 SP2019-75 |
A signal reconstruction method of clipped time-continuous signal using oversampling is proposed. The signal reconstructi... [more] | EA2019-126 SIP2019-128 SP2019-75 pp.147-152 |
| COMP | 2020-03-01 11:30 |
Tokyo | The University of Electro-Communications (Cancelled but technical report was issued) |
[Invited Talk]
Adaptive Algorithm for Finding Connected Dominating Sets in Uncertain Graphs Takuro Fukunaga (Chuo Univ.) COMP2019-48 |
The problem of finding a minimum-weight connected dominating set (CDS) of a given undirected graph has been studied acti... [more] | COMP2019-48 p.23 |
| CS, CAS | 2020-02-27 14:30 |
Kumamoto | An Estimation of Network Traffic Validation based on Sparse Coding Takayuki Nakachi, Yitu Wang (NTT) CAS2019-107 CS2019-107 |
With accurate network traffic prediction, future communication networks can realize self-management and enjoy intelligen... [more] | CAS2019-107 CS2019-107 pp.55-60 |
|
| NS, RCS (Joint) |
2019-12-20 13:30 |
Tokushima | Tokushima Univ. | [Encouragement Talk]
Service chain provisioning model with relaxation of virtual network function visit order and non-loop constraints Naoki Hyodo, Takehiro Sato, Ryoichi Shinkuma, Eiji Oki (Kyoto Univ.) NS2019-158 |
This paper presents a Virtual Network Function (VNF) placement model for Service Chaining (SC) which minimizes the cost ... [more] | NS2019-158 pp.127-132 |
| SIS | 2019-12-12 15:45 |
Okayama | Okayama University of Science | [Invited Talk]
Consensus-Based Distributed Algorithms and Applications to Machine Learning Norikazu Takahashi (Okayama Univ.) SIS2019-29 |
Recently, consensus-based distributed optimization methods for multi-agent systems have been vigorously studied in the f... [more] | SIS2019-29 p.35 |
| 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 |
| MIKA (2nd) |
2019-10-03 13:35 |
Hokkaido | Hokkaido Univ. | [Invited Lecture]
DOA Estimation Using Sparse Modeling Toshihiko Nishimura, Seigi Nakatsu, Takeo Ohgane, Yasutaka Ogawa (Hokkaido Univ.) |
The problem of estimating the direction of arrival (DOA) of radio waves from signals received by multiple antennas is a ... [more] | |
| NLP | 2019-09-23 13:20 |
Kochi | Eikokuji Campus, University of Kochi | Artificial Bee Colony Algorithm Following Time-Varying Solutions Ken Kamiyotsumoto, Yoko Uwate (Tokushima Univ.), Thomas Ott (ZHAW), Yoshifumi Nishio (Tokushima Univ.) NLP2019-42 |
Recently , nature-inspired metaheuristic optimization algorithms such as Artificial Bee Colony Algorithm (ABC) is develo... [more] | NLP2019-42 pp.37-40 |
| COMP | 2019-09-02 11:25 |
Okayama | Tsushima Campus, Okayama University | Speeding-up of Construction Algorithms for the Graph Coloring Problem Kazuho Kanahara, Kengo Katayama (OUS), Etsuji Tomita (UEC), Takeshi Okano, Takahumi Miyake, Noritaka Nishihara (OUS) COMP2019-11 |
DSATUR and RLF are well known as typical solution construction algorithms for the graph coloring problem, GCP, where GCP... [more] | COMP2019-11 pp.7-14 |
| SeMI, RCS, NS, SR, RCC (Joint) |
2019-07-12 11:25 |
Osaka | I-Site Nanba（Osaka） | Research and Development on Wide Area Network Scan Techniques for IoT Wireless Equipment Kazuto Yano, Naoto Egashira, Takuya Kurihara, Satoru Shimizu, Yoshinori Suzuki (ATR) RCC2019-49 NS2019-85 RCS2019-142 SR2019-61 SeMI2019-58 |
This paper introduces three elemental technologies to realize confident and efficient network scanning for a large amoun... [more] | RCC2019-49 NS2019-85 RCS2019-142 SR2019-61 SeMI2019-58 pp.177-182(RCC), pp.203-208(NS), pp.199-204(RCS), pp.209-214(SR), pp.191-196(SeMI) |
| RCS | 2019-06-21 10:30 |
Okinawa | Miyakojima Hirara Port Terminal Building | A Study on Age-of-Information Minimization in Two-User Multiple Access Channel with Energy Harvesting Naoya Hirosawa, Koji Ishibashi (The Univ. of Electro-Communications) RCS2019-88 |
In this paper, two-user multiple access channel is investigated where users, namely sensor nodes (SNs), transmit their d... [more] | RCS2019-88 pp.297-302 |
| NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] | 2019-06-17 15:50 |
Okinawa | Okinawa Institute of Science and Technology | A Comparison of Surrogate Models in Bayesian Optimization Sho Shimoyama (Meiji Univ.), Masahiro Nomura (CA) IBISML2019-7 |
Bayesian optimization can efficiently select the next search point by using a surrogate model that estimates an objectiv... [more] | IBISML2019-7 pp.43-50 |
| QIT (2nd) |
2019-05-20 16:10 |
Fukuoka | Kyushu University, Chikushi Campus | Sequential minimal optimization for quantum-classical hybrid algorithms Ken M. Nakanishi (The Univ. of Tokyo), Keisuke Fujii (Osaka Univ.), Synge Todo (The Univ. of Tokyo) |
We propose a sequential minimal optimization method for quantum-classical hybrid algorithms, which converges faster, is ... [more] | |
| NLP, MSS (Joint) |
2019-03-14 17:10 |
Fukui | Bunkyo Camp., Univ. of Fukui | [Invited Talk]
Optimization Algorithms for Deregulation of Electric Power Market Marta Marmiroli (MITSUBISHI ELECTRIC) MSS2018-91 |
[more] | MSS2018-91 pp.57-58 |
| NLP, NC (Joint) |
2019-01-24 15:00 |
Hokkaido | The Centennial Hall, Hokkaido Univ. | A Genetic Algorithm-Based Method for Finding Approximate Solutions to Minimum Steiner Tree Problems Li-Ping Zhang, Norikazu Takahashi (Okayama Univ.), Zong-Xiao Yang (HAUST) NLP2018-121 |
The Euclidean Steiner Tree Problem (ESTP) is a classical combinatorial optimization problem that appears in various fiel... [more] | NLP2018-121 pp.131-136 |
| IN | 2019-01-21 15:35 |
Aichi | WINC AICHI | An Energy-harvesting-aware Routing Algorithm Considering Residual Capacity of Batteries for WSN Zihao Zhang, Shigetomo Kimura (Univ. of Tsukuba) IN2018-77 |
In a wireless sensor network, a large number of sensor nodes equipped with calculation, sensing, and wirelesscommunicati... [more] | IN2018-77 pp.31-36 |
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