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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 54  /  [Next]  
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
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