Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SCE |
2023-08-08 13:25 |
Kanagawa |
Yokohama National Univ. (Primary: On-site, Secondary: Online) |
Design of a superconducting stochastic memory for large-scale stochastic-computing system Wenhui Luo (Yokohama Nat’l Univ.), Naoki Takeuchi (AIST), Olivia Chen (Tokyo City Univ.), Nobuyuki Yoshikawa (Yokohama Nat’l Univ.) SCE2023-7 |
Stochastic computing-based neural networks (SC-NNs) have been developed for energy-efficient neuromorphic computing. In ... [more] |
SCE2023-7 pp.34-38 |
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 |
MIKA (3rd) |
2022-10-14 10:40 |
Niigata |
Niigata Citizens Plaza (Primary: On-site, Secondary: Online) |
[Poster Presentation]
For an experimental verification of MIMO-OFDM signals reception using noise and 1-bit ADCs Masato Saito (Ryukyu Univ.), Takaya Yamazato (Nagoya Univ.) |
An analog-to-digital converter (ADC) is essential for wireless digital communications.
While increasing the number of q... [more] |
|
IN, CCS (Joint) |
2022-08-05 15:40 |
Hokkaido |
Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
Stochastic Geometry-based Performance Analysis of UAV-to-UAV Communications under Channel Congestion Takeshi Hirai, Tatsuaki Kimura, Naoki Wakamiya (Osaka Univ.) IN2022-24 |
The systems using unmanned aerial vehicles (UAVs) have advanced smart city.
Such systems requires UAV-to-UAV communica... [more] |
IN2022-24 pp.51-56 |
NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-13 15:55 |
Ishikawa |
The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
Stochastic geometry based handover analysis of aerial base station networks with different altitudes Koki Fujieda, Tatsuaki Kimura, Tetsuya Takine (Osaka Univ.) NS2022-35 |
Aerial base stations (ABSs) using unmanned aerial vehicles (UAVs) have recently attracted attention because of their cap... [more] |
NS2022-35 pp.47-52 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2022-06-28 15:50 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Causal Discovery in Discrete Data Using NML Code Length Based on MDL Principle Masatoshi Kobayashi, Nishimoto Hiroki, Shin Mastushima (Todai) NC2022-21 IBISML2022-21 |
Inference on the causal structure among random variables from only a finite number of observed data is one of the most i... [more] |
NC2022-21 IBISML2022-21 pp.149-155 |
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 |
RECONF, VLD, CPSY, IPSJ-ARC, IPSJ-SLDM [detail] |
2022-01-24 09:30 |
Online |
Online |
Study on a Correlation Controlling Method to Realize Correlation-used Calculations Sequentially in Stochastic Computing Shu Zhang, Shigeru Yamashita (Ritsumeikan Univ.) VLD2021-49 CPSY2021-18 RECONF2021-57 |
Stochastic Computing (SC) is an approximation calculation method using Stochastic Number (SN), which represents the exis... [more] |
VLD2021-49 CPSY2021-18 RECONF2021-57 pp.1-6 |
WBS, RCC, ITS |
2021-12-13 09:00 |
Online |
Online |
[Poster Presentation]
Demodulation using high order moments for multiple amplitude modulation signals on a stochastic resonance receiver with a few-bit ADC Akihiko Tatematsu, Hiroyuki Hatano, Kosuke Sanada, Kazuo Mori (Mie Univ.), Hiroya Tanaka (Toyota Central R & D Labs), Yukihiro Tadokoro (TRINA) WBS2021-38 ITS2021-12 RCC2021-45 |
The use of a higher frequency range up to sub-terahertz causes a significant restriction on devices. Analog-to-digital c... [more] |
WBS2021-38 ITS2021-12 RCC2021-45 pp.22-27 |
VLD, DC, RECONF, ICD, IPSJ-SLDM (Joint) [detail] |
2021-12-01 14:20 |
Online |
Online |
Triple-Rail Stochastic Number and Its Applications Shoki Kawaminami, Shigeru Yamashita (Ritsumeikan Univ) VLD2021-26 ICD2021-36 DC2021-32 RECONF2021-34 |
In Stochastic Computing (SC), we use bit-strings called stochastic numbers (SNs) to perform calculations in very low-cos... [more] |
VLD2021-26 ICD2021-36 DC2021-32 RECONF2021-34 pp.54-59 |
VLD, DC, RECONF, ICD, IPSJ-SLDM (Joint) [detail] |
2021-12-01 14:45 |
Online |
Online |
Improving Accuracy of Addition for Stochastic Computing Ichilawa Katsuhiro, Shigeru Yamashita (Ritsumeikan Univ.) VLD2021-27 ICD2021-37 DC2021-33 RECONF2021-35 |
Stochastic Computing (SC) is an approximate computing paradigm to perform calculations by using Stochastic Numbers (SNs)... [more] |
VLD2021-27 ICD2021-37 DC2021-33 RECONF2021-35 pp.60-65 |
IN, CCS (Joint) |
2021-08-05 14:25 |
Online |
Online |
Digital Implement of 3-layered Neural Networks with Stochastic Activation, Shunting Inhibition, and a Dual-rail Backpropagation Yoshiaki Sasaki, Seiya Muramatsu, Kohei Nishida, Megumi Akai-Kasaya, Tetsuya Asai (Hokkaido Univ.) CCS2021-16 |
Stochastic computing (SC) is an arithmetic technique that enables various operations to be performed with a small number... [more] |
CCS2021-16 pp.7-13 |
IT |
2021-07-09 13:25 |
Online |
Online |
A Note on the Reduction of Computational Complexity for Linear Regression Model Including Cluster Explanatory Variables and Regression Explanatory Variables
-- Bayes Optimal Prediction and Sub-Optimal Algorithm -- Sho Kayama (Waseda Univ.), Shota Saito (Gunma Univ.), Toshiyasu Matsushima (Waseda Univ.) IT2021-24 |
By considering the probability model with the structure that the data is divided into clusters and each cluster has an i... [more] |
IT2021-24 pp.51-56 |
NS |
2021-04-15 15:20 |
Online |
Online |
[Invited Talk]
Scaling limits of interference fields in spatial stochastic models of ultra-dense wireless networks Naoto Miyoshi (Tokyo Tech) NS2021-8 |
Recently, ultra-dense wireless networks have been attracting attention to cope with the increasing data volume in wirele... [more] |
NS2021-8 pp.43-46 |
PRMU |
2020-12-17 16:30 |
Online |
Online |
Towards Discovery of Relevant Latent Factors with Limited Data Mohit Chhabra, Quan Kong, Tomoaki Yoshinaga (Hitachi) PRMU2020-49 |
The remarkable effectiveness of neural networks on vision tasks has led to an interest in adapting neural network models... [more] |
PRMU2020-49 pp.63-68 |
SITE, ISEC, HWS, EMM, BioX, IPSJ-CSEC, IPSJ-SPT, ICSS [detail] |
2020-07-20 16:35 |
Online |
Online |
A Study on Construction of Probablistic Homomorphic Encryption Using Stochastic Computing. Ryusuke Koseki, Rei Ueno, Naofumi Homma (Tohoku Univ.) ISEC2020-23 SITE2020-20 BioX2020-26 HWS2020-16 ICSS2020-10 EMM2020-20 |
In this paper, we describe a construct and evaluation of probabilistic homomorphic encryption (PHE)scheme. PHE is const... [more] |
ISEC2020-23 SITE2020-20 BioX2020-26 HWS2020-16 ICSS2020-10 EMM2020-20 pp.61-67 |
HWS, VLD [detail] |
2020-03-05 11:20 |
Okinawa |
Okinawa Ken Seinen Kaikan (Cancelled but technical report was issued) |
stochasitc fast estimation of timing error induced circuit lifetime distribution Hazuki Tomiyama, Yutaka Masuda, Tohru Ishihara (Nagoya Univ.) VLD2019-113 HWS2019-86 |
In VLSI design, a designer needs the integrated circuit to keep correct operation under area, power,
and performance co... [more] |
VLD2019-113 HWS2019-86 pp.113-118 |
EST |
2020-01-30 11:35 |
Oita |
Beppu International Convention Center |
Variability Analysis of a Non-Uniform Transmission Line Using Polynomial Chaos Method Tadatoshi Sekine, Shin Usuki, Kenjiro T. Miura (Shizuoka Univ.) EST2019-84 |
In this report, we propose a technique which estimates statistical information of electrical properties of transmission ... [more] |
EST2019-84 pp.31-36 |
IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] |
2020-01-24 13:55 |
Kanagawa |
Raiosha, Hiyoshi Campus, Keio University |
Edge detection algorithms using stochastic architectures for various images Naoto Shinozaki, Kimiyoshi Usami (SIT) VLD2019-87 CPSY2019-85 RECONF2019-77 |
Stochastic computing (SC) is an approximate calculation method with the existence probability of 1 in a bit string as a ... [more] |
VLD2019-87 CPSY2019-85 RECONF2019-77 pp.199-204 |
VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2018-12-06 09:00 |
Hiroshima |
Satellite Campus Hiroshima |
Stochastic Number Generation Considering Trade-off between Error and Overhead Yudai Sakamoto, Shigeru Yamashita (Ritsumeikan Univ.) VLD2018-47 DC2018-33 |
Stochastic Computing (SC) is an approximation calculation method using stochastic numbers (SNs) which represent the rati... [more] |
VLD2018-47 DC2018-33 pp.65-70 |