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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| HWS, VLD | 2023-03-04 13:55 |
Okinawa | (Primary: On-site, Secondary: Online) |
* Masaru Mashiba, Kazuki Monta (Kobe Univ.), Takaaki Okidono (SCU), Takuzi Miki, Nagata Makoto (Kobe Univ.)  VLD2022-121 HWS2022-92 |
With the development of IoT, security is becoming increasingly important. Confidential information and other information... [more] | VLD2022-121 HWS2022-92 pp.267-272 |
| IPSJ-SLDM, RECONF, VLD [detail] | 2023-01-24 11:45 |
Kanagawa | Raiosha, Hiyoshi Campus, Keio University (Primary: On-site, Secondary: Online) |
Efficient FPGA Implementation of Binarized Neural Networks Based on Generalized Parallel Counter Tree Takahiro Tanigawa, Mugi Noda, Nagisa Ishiura (Kwansei Gakuin Univ.) VLD2022-68 RECONF2022-91 |
Binarized neural networks (BNN) allow compact hardware implementation by binarizing weight values and neuron activations... [more] | VLD2022-68 RECONF2022-91 pp.50-55 |
| MBE, NC | 2022-12-03 15:50 |
Osaka | Osaka Electro-Communication University | A RISC-V Soft-core Processor with Custom VLIW Extension for Spiking Neural Network Accelerator Mingyang Li, Yuki Hayashida (Mie Univ.) MBE2022-40 NC2022-62 |
We aim to develop an embedded accelerator for spiking neural networks (SNN). In order to develop prototypes of various S... [more] | MBE2022-40 NC2022-62 pp.86-91 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] | 2022-11-29 15:05 |
Kumamoto | (Primary: On-site, Secondary: Online) |
Evaluation of power delivery networks in secure semiconductor systems Masaru Mashiba, Kazuki Monta (Kobe Univ.), Takaaki Okidono (SCU), Takuzi Miki, Makoto Nagata (Kobe Univ.) VLD2022-33 ICD2022-50 DC2022-49 RECONF2022-56 |
With the development of the IoT, hardware security is becoming increasingly important. Physical attacks on cryptoprocess... [more] | VLD2022-33 ICD2022-50 DC2022-49 RECONF2022-56 pp.82-86 |
| NLP | 2022-11-24 16:40 |
Shiga | (Primary: On-site, Secondary: Online) |
Photonic reservoir computing with optical microcavities Kohei Arai, Tomoya Yamaguchi, Tomoaki Niiyama, Satoshi Sunada (Kanazawa Univ.) NLP2022-67 |
Neural networks (NNs), which mimic the function of neural circuits in the brain, use electrons to perform arithmetic ope... [more] | NLP2022-67 pp.43-48 |
| IA | 2022-11-21 13:55 |
Niigata | Bandai Civic Hall (Niigata) (Primary: On-site, Secondary: Online) |
Massive & Passive RTT Estimation Kaito Sawada (Keio), Ryo Nakamura (UTokyo), Keisuke Uehara (Keio) IA2022-39 |
Quality of Experience (QoE) is important in Internet services, and Round Trip Time (RTT) is one of the indicators. While... [more] | IA2022-39 pp.14-19 |
| CCS | 2022-11-17 13:25 |
Mie | (Primary: On-site, Secondary: Online) |
Analysis of various periodic orbits in permutation binary neural networks Mikito Onuki, Taiji Okano, Toshimichi Saito (HU) CCS2022-44 |
This paper studis a permutation binary neural network characterized by local binary connection, global permutation conne... [more] | CCS2022-44 pp.5-8 |
| RISING (3rd) |
2022-10-31 15:00 |
Kyoto | Kyoto Terrsa (Day 1), and Online (Day 2, 3) | [Poster Presentation]
On Competitive Service Chaining among Multiple Service Brokers in NFV Networks Ryohei Kokura, Masahiro Sasabe, Shoji Kasahara (NAIST) |
Running network functions as software on generic hardware is a promising technology called as network functions virtuali... [more] | |
| CPSY, DC, IPSJ-ARC [detail] | 2022-10-11 16:15 |
Niigata | Yuzawa Toei Hotel (Primary: On-site, Secondary: Online) |
Low power quantized neural network by reducing the operating voltage of SRAM Ji Wu, Kazuteru Namba (Chiba Univ) CPSY2022-20 DC2022-20 |
With the advancement of artificial intelligence technologies, neural networks have been attracting attention as a machin... [more] | CPSY2022-20 DC2022-20 pp.14-19 |
| NS | 2022-10-07 09:30 |
Hokkaido | Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
A Selfish Service Chaining Scheme for Minimizing Service Path Delay in NFV Networks Ryohei Kokura, Masahiro Sasabe, Shoji Kasahara (NAIST) NS2022-95 |
Network functions virtualization (NFV) can flexibly achieve various network services by running network functions as sof... [more] | NS2022-95 pp.88-93 |
| RECONF | 2022-09-08 10:10 |
Aichi | emCAMPUS STUDIO (Primary: On-site, Secondary: Online) |
Proposal and evaluation of Combined Posit MAC unit (CPMAC) for both DNN inference and training Yuta Masuda, Yasuhiro Nakahara, Masato Kiyama, Masahiro Iida (Kumamoto Univ.) RECONF2022-34 |
Recently, there has been a lot of research on DNN hardware accelerators for the edge that use Posit as a number represen... [more] | RECONF2022-34 pp.29-34 |
| NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-14 16:15 |
Ishikawa | The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
[Invited Talk]
Network Sofwarized 5G Device for Flexibility and Efficiency Kien Nguyen, Hiroo Sekiya (Chiba Uni.) RCC2022-28 NS2022-44 RCS2022-91 SR2022-30 SeMI2022-32 |
This work introduces a network softwarization approach to efficiently exploit multiple wireless networks on a 5G mobile ... [more] | RCC2022-28 NS2022-44 RCS2022-91 SR2022-30 SeMI2022-32 pp.48-53(RCC), pp.88-93(NS), pp.119-124(RCS), pp.48-53(SR), pp.58-63(SeMI) |
| NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-14 13:25 |
Ishikawa | The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
Testbed Development and Preliminary Evaluation for Information-Centric Wireless Sensor Networks Shintaro Mori (Fukuoka Univ.) SeMI2022-34 |
This study focuses on the information-centric wireless sensor networks (ICWSNs) underpinning disaster-resilient smart ci... [more] | SeMI2022-34 pp.70-73 |
| CCS, NLP | 2022-06-09 16:50 |
Osaka | (Primary: On-site, Secondary: Online) |
A Study on Accelerating Stochastic Weight Difference Propagation with Momentum Term Shahrzad Mahboubi, Hiroshi Ninomiya (Shonan Inst. of Tech.) NLP2022-9 CCS2022-9 |
With the rapid development of the IoT, there has been an increasing need to process the data on microcomputers equipped ... [more] | NLP2022-9 CCS2022-9 pp.40-45 |
| CCS | 2022-03-27 14:50 |
Hokkaido | RUSUTSU RESORT HOTEL & CONVENTION (Primary: On-site, Secondary: Online) |
Examination of neuromorphic circuit architecture consisting of 3D wiring memory devices Naruki Hagiwara, Yoshiki Amemiya, Ali Emiliano Jose, Tetsuya Asai (Hokkaido Univ.), Megumi Akai-Kasaya (Hokkaido Univ./Osaka Univ.) CCS2021-46 |
Analog neural network circuits using non-volatile analog resistance change memory devices have been developed mainly bas... [more] | CCS2021-46 pp.60-65 |
| NS, IN (Joint) |
2022-03-10 10:20 |
Online | Online | Implementation and Evaluation of Real-Time Threat Detection System at the Network Edge Kota Tsuchie, Nobuyuki Nakamura, Toshihiko Matsunaga, Taketsugu Yao (OKI) IN2021-31 |
Data leakages and malware infections from the network edge have become to a social issue. NDR is an expected technology ... [more] | IN2021-31 pp.1-6 |
| NS, IN (Joint) |
2022-03-11 13:00 |
Online | Online | Performance improvement method of Local 5G mobile core network in mMTC scenario Yu Kimura, Akihiro Nakao (Univ of Tokyo) NS2021-153 |
Local 5G is expected as a new wireless communication technology to accommodate a large number of IoT devices. In recent ... [more] | NS2021-153 pp.181-186 |
| ICM | 2022-03-04 13:50 |
Online | Online | A Study on Network Fault Recovery Framework with Reinforcement Learning Tatsuji Miyamoto (KDDI Research, Inc./Osaka Univ.), Genichi Mori (KDDI Research, Inc.), Yusuke Suzuki (KDDI), Tomohiro Otani (KDDI Research, Inc.), Junji Takemasa, Yuki Koizumi, Toru Hasegawa (Osaka Univ.) ICM2021-54 |
Network operator automates failure recovery operation with implementing programs for each service and failure case. Howe... [more] | ICM2021-54 pp.63-67 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 11:45 |
Online | Online | Physical deep learning based on optimal control of dynamical systems Satoshi Sunada, Genki Furuhata, Tomoaki Niiyama (Kanazawa Univ.) NLP2021-79 MICT2021-54 MBE2021-40 |
An underlying key factor of deep neural networks is the information propagation through the layers. This suggests a conn... [more] | NLP2021-79 MICT2021-54 MBE2021-40 p.36 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-23 09:50 |
Online | Online | Analog-circuit design of STDP learning rule with linear decay and its LSI implementation Satoshi Moriya, Tatsuki Kato (Tohoku Univ.), Yasushi Yuminaka (Gunma Univ.), Hideaki Yamamoto, Shigeo Sato, Yoshihiko Horio (Tohoku Univ.) NC2021-40 |
Spiking neural networks (SNNs) are expected to be the next generation of information processing technology to reduce the... [more] | NC2021-40 p.44 |
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