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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM (Joint) [detail] |
2021-12-02 09:20 |
Online | Online | Development of Spiking Neural Network with Mem Capacitor
-- Reduction of recognition accuracy loss by improving the conversion method between synaptic strength and capacitance -- Atsushi Sawada, Reon Oshio, Mutsumi Kimura, Renyuan Zhang, Yasuhiko Nakashima (NAIST) VLD2021-32 ICD2021-42 DC2021-38 RECONF2021-40 |
Research on artificial intelligence is developing rapidly, and there is an increasing need for the development of comput... [more] | VLD2021-32 ICD2021-42 DC2021-38 RECONF2021-40 pp.87-92 |
| CQ, ICM, NS, NV (Joint) |
2021-11-26 15:15 |
Fukuoka | JR Hakata Stn. Hakata EkiHigashi Rental Room (Primary: On-site, Secondary: Online) |
Robotic Assistance of On-site Network Maintenance Works Takayuki Warabino (KDDI Research), Yusuke Suzuki (KDDI), Tomohiro Otani (KDDI Research) ICM2021-28 |
While the introduction of softwarelization technologies such as SDN and NFV transfers the main focus of network manageme... [more] | ICM2021-28 pp.27-32 |
| CAS, NLP | 2021-10-14 15:50 |
Online | Online | Implementation of a Generative Adversarial Network as Bitwise Neural Network Takuma Matsuno, Gauthier Lovic (Ariake College) CAS2021-28 NLP2021-26 |
Generative Adversarial Network (GAN) is an artificial intelligence algorithm in which a generative network, which produc... [more] | CAS2021-28 NLP2021-26 pp.62-67 |
| IN, NS, CS, NV (Joint) |
2021-09-09 12:40 |
Online | Online | Service Chaining Based on Capacitated Shortest Path Tour Problem
-- Solution Based on Lagrangian Relaxation and Shortest Path Tour Algorithm -- Takanori Hara, Masahiro Sasabe (NAIST) NS2021-60 |
Network functions virtualization (NFV) can speedily and flexibly deploy network services by replacing traditional networ... [more] | NS2021-60 pp.18-23 |
| PN | 2021-08-31 13:50 |
Online | Online | Path-protected spatial division multiplexing networks that adopt spatially-jointed path grouping and switching Ryuji Munakata, Yojiro Mori, Hiroshi Hasegawa (Nagoya Univ.) PN2021-22 |
We evaluate survivable SDM optical networks that adopt dedicated path protection and spatially-jointed flexible waveband... [more] | PN2021-22 pp.56-62 |
| SDM, ICD, ITE-IST [detail] | 2021-08-17 11:45 |
Online | Online | Approximation of Non-Linear Function for Hardware Implementation of Echo-State-Network Amartuvshin Bayasgalan, Makoto Ikeda (UTokyo) SDM2021-32 ICD2021-3 |
Reservoir computing (RC) is a machine-learning algorithm that can learn complex temporal signals while presenting a fast... [more] | SDM2021-32 ICD2021-3 pp.12-17 |
| CCS | 2021-03-29 13:25 |
Online | Online | Neuromorphic Devices using Spatial Free Wiring of Conductive Polymer for Hardware Artificial Neural Networks Emiliano Ali, Yoshiki Amemiya, Tetsuya Asai (Hokkaido Univ.), Megumi Akai-Kasaya (Osaka Univ.) CCS2020-22 |
Nanowires made of conductive polymer have a promising potential to be used in a wide range of applications in the electr... [more] | CCS2020-22 pp.7-12 |
| IN, NS (Joint) |
2021-03-04 10:10 |
Online | Online | Service Chaining for Highly-Available, Energy-Efficient, and Reliable NFV Networks Masaya Baba, Takanori Hara, Masahiro Sasabe, Shoji Kasahara (NAIST) NS2020-130 |
Network functions virtualization (NFV) can realize low-cost and flexible network services by decoupling network function... [more] | NS2020-130 pp.43-48 |
| IN, NS (Joint) |
2021-03-05 13:00 |
Online | Online | Dynamic and Cooperative Architecture of CNF/WBS toward High-performance Network Slicing Koki Fukushima, Ryota Kawashima, Hiroshi Matsuo (NITech) NS2020-160 |
Cloud Native Network Functions (CNFs) are essential building blocks of network slicing. While they can be typically pr... [more] |
NS2020-160 pp.220-225 |
| HWS, VLD [detail] | 2021-03-03 13:00 |
Online | Online | [Memorial Lecture]
Scheduling Sparse Matrix-Vector Multiplication onto Parallel Communication Architecture Mingfei Yu, Ruitao Gao, Masahiro Fujita (Univ. Tokyo) VLD2020-71 HWS2020-46 |
There is an obvious trend to make use of hardware including many-core CPU, GPU and FPGA, to conduct computationally inte... [more] | VLD2020-71 HWS2020-46 pp.24-29 |
| ICSS, IPSJ-SPT | 2021-03-02 16:25 |
Online | Online | Security Evaluation of PUF utilizing Unrolled Architecture Yusuke Nozaki, Kensaku Asahi, Masaya Yoshikawa (Meijo Univ.) ICSS2020-53 |
To improve the security of LSI circuit, physically unclonable functions (PUF) have been attracted attention. The glitch ... [more] | ICSS2020-53 pp.160-165 |
| CAS, ICTSSL | 2021-01-28 17:15 |
Online | Online | A Hardware Implementation of Neural Networks using HDLRuby, a Ruby-based Hardware Description Language Ryota Sakai, Yuki Maehara, Lovic Gauthier (NITAC) CAS2020-53 ICTSSL2020-38 |
In the recent years, FPGAs have been attracting attention as neural network accelerators for their superior performance ... [more] | CAS2020-53 ICTSSL2020-38 pp.79-84 |
| CAS, ICTSSL | 2021-01-28 17:35 |
Online | Online | Study of a Hardware Implementation of a Long Short-Term Memory with HDLRuby Yuki Maehara, Ryota Sakai, Lovic Gauthier (NITAC) CAS2020-54 ICTSSL2020-39 |
In the recent years, many global companies have attempted to use FPGA for implementing applications in the field of AI s... [more] | CAS2020-54 ICTSSL2020-39 pp.85-90 |
| CPSY, RECONF, VLD, IPSJ-ARC, IPSJ-SLDM [detail] | 2021-01-25 15:15 |
Online | Online | A High-speed Convolutional Neural Network Accelerator for an Adaptive Resolution on an FPGA Koki Sayama, Akira Jinguji, Naoto Soga, Hiroki Nakahara (Tokyo Tech) VLD2020-49 CPSY2020-32 RECONF2020-68 |
In recent years, CNN has been used for various tasks in the field of computer vision and has achievedexcellent performan... [more] | VLD2020-49 CPSY2020-32 RECONF2020-68 pp.58-62 |
| MBE, NC (Joint) |
2020-12-18 15:15 |
Online | Online | A Study on Recall of Temporal Pattern Using Hopfield Network with Pulse-type Hardware Neuron Model Yoshiki Sasaki, Katsutoshi Saeki (Nihon Univ.) NC2020-29 |
Previously, we proposed a pulse-type hardware chaotic neuron model.In this paper, we report on a pulsed neural network t... [more] | NC2020-29 pp.7-12 |
| EID, SDM, ITE-IDY [detail] | 2020-12-02 11:25 |
Online | Online | Stacked cross-point memory of synaptic elements using IGZO thin film Etsuko Iwagi (RU), Takumi Tsuno (NAIST), Mutsumi Kimura (RU) EID2020-4 SDM2020-38 |
We conducted research and development of a large hardware neural network by using oxide semiconductors of In-Ga-Zn-O (IG... [more] | EID2020-4 SDM2020-38 pp.13-16 |
| EID, SDM, ITE-IDY [detail] | 2020-12-02 11:55 |
Online | Online | Investigation of oxide semiconductor thin film synapse using STDP learning method Tetsuya Katagiri, Daiki Yamakawa, Kenta Yatida, Kazuki Morigaki, Mutsumi Kimura (Ryukoku Univ.) EID2020-6 SDM2020-40 |
Neuromorphic hardware is expected as low power consumption and high performance hardware that does not have the power co... [more] | EID2020-6 SDM2020-40 pp.21-24 |
| NS, ICM, CQ, NV (Joint) |
2020-11-27 13:35 |
Online | Online | Design and Discussion of NFC Mechanism Considering Security and Optimal Arrangement of Functions in Multi-Tenant Environment Daisuke Settai, Takao Kondo, Fumio Teraoka (Keio Univ.) NS2020-83 |
As the performance of networks and commodity hardware improves, We will apply Network Function Chaining (NFC) to multipl... [more] | NS2020-83 pp.43-48 |
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