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All Technical Committee Conferences (Searched in: Recent 10 Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SAT, RCS (Joint) |
2024-08-30 13:00 |
Kochi | CUL-PORT(Kochi City) (Temporary) (Primary: On-site, Secondary: Online) |
A Study on Autoencoder-Aided Data-Driven Tuning for Differential Linear Dispersion Code Arata Kameda, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.)  RCS2024-130 |
In this paper, we propose the application of a wireless autoencoder (WAE) to a model of code generation rules of a diffe... [more] | RCS2024-130 pp.78-83 |
| RCC, RCS, SeMI, NS, SR, RISING (Joint) |
2024-07-18 09:50 |
Hokkaido | Hokkaido Citizens Activities Promotion Center (Primary: On-site, Secondary: Online) |
State-Flipped Control for Probabilistic Boolean Networks Using Reinforcement Learning Tatsuya Hasegawa, Fuma Motoyama, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) RCC2024-26 |
In this paper, we propose a Q-learning reward design method for state-flipped control of probabilistic Boolean networks ... [more] | RCC2024-26 pp.43-46 |
| IN, NS (Joint) |
2023-03-02 14:00 |
Okinawa | Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
A Routing Protocol Using Probabilistic Route Selection Based on Residual Capacity Ratio of Batteries for Wireless Sensor Networks Yuki Ofuchi, Shigetomo Kimura (Univ. of Tsukuba) IN2022-80 |
Corona-based wireless sensor networks form concentric clusters based on hop counts from the sink node. For the networks,... [more] | IN2022-80 pp.85-90 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-03-01 10:40 |
Okinawa | (Primary: On-site, Secondary: Online) |
Diffusion-based parallel voice conversion with source-feature condition Takuya Kishida, Toru Nakashika (UEC) EA2022-107 SIP2022-151 SP2022-71 |
We propose a voice conversion method based on a diffusion probabilistic model trained on a parallel dataset. Since the d... [more] | EA2022-107 SIP2022-151 SP2022-71 pp.191-196 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-03-01 13:45 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Invited Talk]
Speech and Language Research in the Google Tokyo Office Michiel Bacchiani (Google) EA2022-116 SIP2022-160 SP2022-80 |
This talk will consist of three parts. In the first part of the talk, I will reflect on some lessons learned from the ac... [more] | EA2022-116 SIP2022-160 SP2022-80 pp.239-240 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-22 09:45 |
Hokkaido | Hokkaido Univ. | Probabilistic Approach towards Theoretical Understanding for Adversarial Training Soichiro Kumano (UTokyo), Hiroshi Kera (Chiba Univ.), Toshihiko Yamasaki (UTokyo) ITS2022-59 IE2022-76 |
In this paper, we provide the first theoretical analysis of the training dynamics of adversarial training of deep neural... [more] | ITS2022-59 IE2022-76 pp.95-100 |
| IN, IA (Joint) |
2022-12-13 09:50 |
Hiroshima | Higashi-Senda campus, Hiroshima Univ. (Primary: On-site, Secondary: Online) |
A Study on Obfuscation of Node Centrality in Large-Scale Networks Hiroki Kawamura, Takeaki Iwata, Ryotaro Matsuo, Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2022-55 |
Node centrality (e.g., degree centrality, eigenvector centrality, betweenness centrality), which is determined by the ne... [more] | IA2022-55 pp.40-46 |
| SS, IPSJ-SE, KBSE [detail] | 2022-07-29 13:25 |
Hokkaido | Hokkaido-Jichiro-Kaikan (Sapporo) (Primary: On-site, Secondary: Online) |
Fault Localization for RNNs Based on Probabilistic Automata and n-grams Yuta Ishimoto, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei (Kyushu Univ.) SS2022-10 KBSE2022-20 |
If deep learning models misbehave, serious accidents may occur.Previous studies have proposed approaches to overcome suc... [more] | SS2022-10 KBSE2022-20 pp.55-60 |
| CCS, NLP | 2022-06-10 10:55 |
Osaka | (Primary: On-site, Secondary: Online) |
[Invited Talk]
Computation and learning based on dual stochasticity of the brain Jun-nosuke Teramae (Kyoto Univ.) NLP2022-16 CCS2022-16 |
Neurons and synapses in the brain are highly stochastic devices. Neurons responsible for signal propagation in the brain... [more] | NLP2022-16 CCS2022-16 pp.78-83 |
| RCS, SIP, IT | 2022-01-20 11:20 |
Online | Online | Joint Design of Offloading Probability and Power Transfer Duration for Wireless Powered-MEC Takuya Kobayashi, Koichi Adachi (UEC) IT2021-39 SIP2021-47 RCS2021-207 |
For the advancement of the Internet-of-Things (IoT), it is crucial to assist the computing power of sensor devices and m... [more] | IT2021-39 SIP2021-47 RCS2021-207 pp.63-68 |
| SS, MSS | 2022-01-11 14:05 |
Nagasaki | Nagasakiken-Kensetsu-Sogo-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Design of Self-Triggered Reduced-Order Controllers of Probabilistic Boolean Networks Using Reinforcement Learning Michiaki Takizawa, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2021-37 SS2021-24 |
We consider the stabilization of Probabilistic Boolean Networks using reinforcement learning. Using reinforcement learni... [more] | MSS2021-37 SS2021-24 pp.35-39 |
| RCS, SAT (Joint) |
2021-08-27 12:45 |
Online | Online | Autonomous Distributed Offloading Probability Decision for Wireless Powered-MEC Takuya Kobayashi, Koichi Adachi (UEC) RCS2021-110 |
The Internet-of-Things (IoT) devices face critical issues of limited computing power and charge management due to miniat... [more] | RCS2021-110 pp.57-62 |
| SIP, CAS, VLD, MSS | 2021-07-06 11:15 |
Online | Online | Pinning Stabilization of Probabilistic Boolean Networks Using Reinforcement Learning Michiaki Takizawa, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2021-12 VLD2021-12 SIP2021-22 MSS2021-12 |
We consider the pinning stabilization of probabilistic Boolean networks using reinforcement learning. Using reinforcemen... [more] | CAS2021-12 VLD2021-12 SIP2021-22 MSS2021-12 pp.60-63 |
| RCS, AP, UWT (Joint) |
2020-11-25 14:20 |
Online | Online | Online Probabilistic Activation Control of Base Stations Utilizing Temporal System Throughput and Activation States of Neighbor Cells Junya Tani, Kenichi Higuchi (Tokyo Univ. of Science) RCS2020-117 |
In this paper, we propose an online probabilistic activation/deactivation control at base stations (BSs) based on the te... [more] | RCS2020-117 pp.42-47 |
| RCS | 2020-10-23 14:25 |
Online | Online | [Invited Lecture]
Research and development on outage probability prediction of required QoS for factory environment Kazuto Yano (ATR), Norisato Suga (ATR/TUS), Julian Webber (ATR/Osaka Univ.), Yafei Hou (ATR/Okayama Univ.), Eiji Nii, Toshihide Higashimori, Yoshinori Suzuki (ATR) RCS2020-108 |
In order to deploy wireless communication into smart factory environments, it is important to stably operate wireless co... [more] | RCS2020-108 pp.86-91 |
| IT, SIP, RCS | 2020-01-24 14:25 |
Hiroshima | Hiroshima City Youth Center | Reducing Handover Incidence in Decentralized Probabilistic Frequency-Block Activation Control Fumiya Ishikawa, Kenichi Higuchi (Tokyo Univ. of Science) IT2019-77 SIP2019-90 RCS2019-307 |
In heterogeneous network in which low-transmission-power pico-base stations (BSs) are overlaid onto the coverage of a hi... [more] | IT2019-77 SIP2019-90 RCS2019-307 pp.239-245 |
| NS, ICM, CQ, NV (Joint) |
2019-11-22 09:50 |
Hyogo | Rokkodai 2nd Campus, Kobe Univ. | Optimization of Link Weights against Multiple Link Failures Yuki Hirano, Fujun He, Takehiro Sato, Eiji Oki (Kyoto Univ.) NS2019-129 |
We present a network design model to minimize the worst-case network congestion against multiple link failures, where OS... [more] | NS2019-129 pp.51-56 |
| RCS | 2019-06-20 10:50 |
Okinawa | Miyakojima Hirara Port Terminal Building | Decentralized Probabilistic Frequency-Block Activation Control for Inter-cell Interference Coordination and Traffic Load Balancing Fumiya Ishikawa (Tokyo Univ. of Science), Yoshihisa Kishiyama (NTT DOCOMO), Kenichi Higuchi (Tokyo Univ. of Science) RCS2019-70 |
We propose a decentralized probabilistic frequency-block activation control method for cellular downlink. The aim of the... [more] | RCS2019-70 pp.203-208 |
| RCS | 2019-06-20 11:00 |
Okinawa | Miyakojima Hirara Port Terminal Building | Online Probabilistic Activation Control of Base Stations Considering Both Uplink and Downlink System Throughput Naoki Uji (Tokyo Univ. of Science), Yoshihisa Kishiyama (NTT DOCOMO), Kenichi Higuchi (Tokyo Univ. of Science) RCS2019-71 |
We propose an online probabilistic activation control of base stations (BSs) considering both uplink and downlink system... [more] | RCS2019-71 pp.209-214 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-15 13:00 |
Kagoshima | Kagoshima University | A Study on Network Tomography for ICN Ryoichi Kawahara (Toyo Univ.), Rie Tagyo, Daisuke Ikegami (NTT) CQ2018-111 |
This paper reports a study on application of network tomography to Information-Centric Networking (ICN). When we receive... [more] | CQ2018-111 pp.99-104 |
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