Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NS, IN (Joint) |
2024-02-29 10:10 |
Okinawa |
Okinawa Convention Center |
Stochastic Geometry-based Transmission Power Analysis and Optimization for UAV Altitude in U2U in Inhomogeneous UAV Density Soma Shimizu, Takeshi Hirai, Naoki Wakamiya (Osaka Univ) IN2023-73 |
This paper analyzes the impacts of inhomogeneous density distribution of unmanned aerial vehicles (UAVs) in UAV-to-UAV c... [more] |
IN2023-73 pp.47-52 |
NS, IN (Joint) |
2024-03-01 09:20 |
Okinawa |
Okinawa Convention Center |
Stochastic process of broadcast communications between validator nodes in Byzantine Fault Tolerant Consensus Blockchains Akihiro Fujihara (CIT) IN2023-82 |
Some BlockChains (BCs) adopt distributed consensus algorithm with Byzantine fault tolerance.
Not only in consortium BCs... [more] |
IN2023-82 pp.101-106 |
RECONF, VLD |
2024-01-29 10:55 |
Kanagawa |
AIRBIC Meeting Room 1-4 (Primary: On-site, Secondary: Online) |
Suppression of output bit width growth in AFE stochastic computing units Daiki Seto, Naoki Fujieda (Aichi Inst. Tech.) VLD2023-81 RECONF2023-84 |
Stochastic Computing (SC) is expected to be applied to fields such as image processing and machine learning. Amplitude a... [more] |
VLD2023-81 RECONF2023-84 pp.7-12 |
SeMI |
2024-01-19 11:45 |
Yamanashi |
Raki House Kaiji |
Stochastic Geometry-based Transmission Power Optimization for UAV Altitude in U2U Communications Soma Shimizu, Takeshi Hirai, Naoki Wakamiya (Osaka Univ.) SeMI2023-69 |
This paper proposes a stochastic geometry-based analytical model and optimizes the transmission power per unmanned aeria... [more] |
SeMI2023-69 pp.106-111 |
R |
2023-11-03 14:20 |
Ishikawa |
The Kanazawa Chamber of Commerce and Industry (Primary: On-site, Secondary: Online) |
Optimal Maintenance Policy for a Markovian Deteriorating System under Random Operating Environment Nobuyuki Tamura (Hosei Univ.) R2023-46 |
We consider a system whose deterioration follows a discrete-time and discrete-state Markov chain with an absorbing state... [more] |
R2023-46 pp.10-15 |
RISING (3rd) |
2023-10-31 10:45 |
Hokkaido |
Kaderu 2・7 (Sapporo) |
[Poster Presentation]
Performance Analysis of Cognitive Radio Networks With Location Privacy Preservation Ryutaro Kobuchi (Osaka Univ.), Tatsuaki Kimura (Doshisha Univ.), Tetsuya Takine (Osaka Univ.) |
With the rapid increase in demand for wireless communication services, dynamic spectrum sharing in cognitive radio netwo... [more] |
|
RCS |
2023-06-15 16:00 |
Hokkaido |
Hokkaido University, and online (Primary: On-site, Secondary: Online) |
Noise-Assisted Relaxation of Nonlinearity: A Basic Theoretical Study Kazuki Komatsu (Toyohashi Univ. of Tech.), Yuichi Miyaji (Aichi Inst. of Tech.), Hideyuki Uehara (Toyohashi Univ. of Tech.) RCS2023-60 |
In communication systems using one-bit quantizers, a phenomenon called dithering or stochastic resonance, which can supp... [more] |
RCS2023-60 pp.188-193 |
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 |
IBISML |
2022-12-23 09:20 |
Kyoto |
Kyoto University (Primary: On-site, Secondary: Online) |
Embedding stochastic differential equations into neural networks using duality Naoki Sugishita, Jun Ohkubo (Saitama Univ.) IBISML2022-51 |
Neural network training requires a large amount of data. However, sometimes we have information on the underlying equati... [more] |
IBISML2022-51 pp.54-61 |
DC |
2022-12-16 13:50 |
Yamaguchi |
(Primary: On-site, Secondary: Online) |
Evaluation of Fault Tolerance in Stochastic Computing Based Neural Network Inference Accelerators Ryoga Nagashima, Stefan Holst, Xiaoqing Wen (Kyutech) DC2022-74 |
In recent years, neural networks have become increasingly complex. Stochastic computing (SC) techniques are currently be... [more] |
DC2022-74 pp.12-16 |
VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] |
2022-11-30 15:50 |
Kumamoto |
(Primary: On-site, Secondary: Online) |
Design and Trial Production of Stochastic Resonance Processor using Differential Input Buffer in FPGA Akihiko Tsukahara, Sung-Gwi Cho, Keita Tanaka, Akihiko Homma, Yoshinori Uchikawa (Tokyo Denki Univ.) VLD2022-49 ICD2022-66 DC2022-65 RECONF2022-72 |
Stochastic resonance phenomenon is one of the methods that can detect weak signals buried in noise. In this paper, we pr... [more] |
VLD2022-49 ICD2022-66 DC2022-65 RECONF2022-72 pp.174-177 |
ITE-BCT, OCS, IEE-CMN, OFT |
2022-11-11 13:00 |
Miyagi |
Forest-Sendai (Primary: On-site, Secondary: Online) |
Learning-based digital back propagation considering cross-phase modulation in wavelength-division multiplexed transmission systems Takashi Inoue, Ryosuke Matsumoto, Shu Namiki (AIST) OCS2022-44 |
We propose a scheme to compensate waveform distortion of optical signals due to fiber nonlinearity in wavelength-divisio... [more] |
OCS2022-44 pp.24-29 |
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] |
|
R |
2022-10-07 15:15 |
Fukuoka |
(Primary: On-site, Secondary: Online) |
A Note on Pull-Type Security Patch Management Policies for Intrusion Tolerant Systems Junjun Zheng (Osaka Univ.), Hiroyuki Okamura, Tadashi Dohi (Hiroshima Univ.) R2022-37 |
This paper considers the pull-type security patch management policies for intrusion tolerant systems. A composite stocha... [more] |
R2022-37 pp.31-36 |
NC, MBE (Joint) |
2022-09-29 11:15 |
Miyagi |
Tohoku Univ. (Primary: On-site, Secondary: Online) |
State estimation for continuous-time stochastic systems by holonomic gradient method Riku Yamamoto, Jun Ohkubo (Saitama Univ.) NC2022-35 |
The holonomic gradient method efficiently gives us numerical values of integrals with parameters, which could be a power... [more] |
NC2022-35 pp.11-15 |
NS, IN, CS, NV (Joint) |
2022-09-01 10:25 |
Iwate |
MALIOS (Iwate Prefecture) + Online Meeting (Primary: On-site, Secondary: Online) |
Temporal Correlation Analysis of Interference in V2I Communications Under Spatially Correlated Shadowing Ryoga Karasudani, Tatsuaki Kimura, Tetsuya Takine (Osaka Univ) NS2022-61 |
Vehicular communications having various emergency applications, such as collision avoidance and auto-driving,
require u... [more] |
NS2022-61 pp.7-12 |
NLP |
2022-08-02 15:30 |
Online |
Online |
The energy-accuracy trade-off in thresholding Nobumasa Ishida, Yoshihiko Hasegawa (Univ. Tokyo) NLP2022-36 |
In the last decade, stochastic thermodynamics revealed that the accuracy of various information processing, from biologi... [more] |
NLP2022-36 pp.39-42 |
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 |
IMQ, HIP |
2022-07-08 14:50 |
Hokkaido |
Satellite Campus, Sapporo City University |
Derivation of Blur Function of CT Image on the Basis of Stochastic Differential Equation Kuniharu Imai (Nagoya Univ), Yuki Yamamoto (Fujita Health Univ), Kengo Igarashi, Keisuke Fujii, Chiyo Kawaura, Shigeru Matsushima (Nagoya Univ) IMQ2022-8 HIP2022-39 |
Recently, various algorisms for reducing image noise on CT images have been developed and made it possible to depict a t... [more] |
IMQ2022-8 HIP2022-39 pp.21-26 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2022-06-28 16:15 |
Okinawa |
(Primary: On-site, Secondary: Online) |
An Extension of LiNGAM to Functional Data Analysis Tianle Yang, Joe Suzuki (Osaka Univ.) NC2022-22 IBISML2022-22 |
We often use the Linear Non-Gaussian Acyclic Model (LiNGAM) to find random variables' causal order. In the LiNGAM, we ca... [more] |
NC2022-22 IBISML2022-22 pp.156-163 |