Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IBISML |
2021-03-03 14:25 |
Online |
Online |
Markov Decision Processes for Simultaneous Control of Multiple Objects with Different State Transition Probabilities in Each Cluster Yuto Motomura, Akira Kamatsuka, Koki Kazama, Toshiyasu Matsushima (Waseda Univ.) IBISML2020-49 |
In this study, we propose an extended MDP model, which is a Markov decision process model with multiple control objects ... [more] |
IBISML2020-49 pp.47-54 |
CAS, ICTSSL |
2021-01-29 10:10 |
Online |
Online |
Consideration of Switching by Chaotic Neurodynamics for Asymmetric TSPs by using Hidden Markov Model Tomoya Matsuno, Toshihiro Tachibana (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.) CAS2020-59 ICTSSL2020-44 |
Several methods for solving the asymmetric traveling salesman problem using chaotic neural networks is proposed by Tachi... [more] |
CAS2020-59 ICTSSL2020-44 pp.107-110 |
R |
2020-12-11 15:15 |
Online |
Online |
A Note on Variance-Based Sensitivity Analysis for Continuous-Time Markov Chains Based on Moment Approximation Jiahao Zhang (Hiroshima Univ.), Junjun Zheng (Ritsumeikan Univ.), Hiroyuki Okamura, Tadashi Dohi (Hiroshima Univ.) R2020-33 |
Sensitivity analysis plays a critical role in quantifying uncertainty in the design of computer systems. In particular, ... [more] |
R2020-33 pp.18-23 |
IT |
2020-12-02 09:40 |
Online |
Online |
Approximation Method for Bayes Optimal Prediction in Phoneme Recognition Problem Taishi Yamaoka, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2020-30 |
In this paper, we propose a method of phoneme recognition. In the previous studies on phoneme recognition using the Hidd... [more] |
IT2020-30 pp.32-37 |
CS |
2020-11-06 11:15 |
Online |
Online + Central Community Center, Nonoichi Community Center (Primary: Online, Secondary: On-site) |
Performance Analysis of Success-Prioritized DCF in Non-Saturated Condition Yamato Yoshikawa, Daisuke Umehara (KIT) CS2020-59 |
In recent years, mobile terminals with wireless local area network (WLAN) function have become more popular
and it is e... [more] |
CS2020-59 pp.64-67 |
HIP |
2020-10-08 13:10 |
Online |
Online |
Investigation on Modeling Dynamic Properties of Eye Movement in Impression Evaluation of Painting by Hidden Markov Models Shun Oue (Hosei Univ.), Yuiko Sakuta (Jissen Women's Univ.), Shigeru Akamatsu (Hosei Univ.) HIP2020-32 |
In this study, we analyzed whether there is any relationship between impression evaluation for painting and eye movement... [more] |
HIP2020-32 pp.1-6 |
MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] |
2020-05-29 14:10 |
Online |
Online |
Construction of Hidden Markov Models for Brain Tumor Segmentation Takuya Honda, Yuta Nakahara, Matushima Toshiyasu (Waseda Univ.) SIP2020-13 BioX2020-13 IE2020-13 MI2020-13 |
Brain tumor segmentation is one of the systems that a computer, which has attracted attention in recent years, assists d... [more] |
SIP2020-13 BioX2020-13 IE2020-13 MI2020-13 pp.61-66 |
IN, RCS, NV (Joint) |
2020-05-22 13:25 |
Online |
Online |
[Invited Lecture]
Throughput Analysis for Full Duplex Wireless Networks Kosuke Sanada (Mie Univ.) IN2020-8 RCS2020-21 |
This paper explains the researches of theoretical analysis for wireless full-duplex communication networks. First, we in... [more] |
IN2020-8 RCS2020-21 pp.37-42(IN), pp.61-66(RCS) |
NC, MBE (Joint) |
2020-03-05 16:10 |
Tokyo |
University of Electro Communications (Cancelled but technical report was issued) |
Improvement of neuronal ensemble inference by Monte Carlo method and applying to real data Shun Kimura, Koujin Takeda (Ibaraki Univ.), Keisuke Ota (Riken) NC2019-101 |
In this work, we propose an improved inference algorithm for neuronal ensembles, which can classify neurons into ensembl... [more] |
NC2019-101 pp.149-154 |
NC, MBE (Joint) |
2020-03-06 13:25 |
Tokyo |
University of Electro Communications (Cancelled but technical report was issued) |
A finite state markov-chain approximation of the intermittent control model during human quiet standing using a finite element analysis of its Fokker-Planck equation Keigo Togame, Akihiro Nakamura, Yasuyuki Suzuki, Taishin Nomura (Osaka Univ.) MBE2019-96 |
The intermittent control during human quiet standing is a hypothetical neural control strategy that we have proposed in ... [more] |
MBE2019-96 p.83 |
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2020-02-27 16:20 |
Hokkaido |
Hokkaido Univ. (Cancelled but technical report was issued) |
[Special Talk]
Neighbor-Aware Approaches for Pixel Labeling Ryosuke Furuta (TUS), Naoto Inoue, Toshihiko Yamasaki (UT) ITS2019-45 IE2019-83 |
Pixel labeling is one of the most classical and important problems in the field of computer vision because it has a vari... [more] |
ITS2019-45 IE2019-83 p.239 |
PRMU |
2019-12-19 10:30 |
Oita |
|
A switching Markov model for evaluation of food functionality Tsukasa Hokimoto, Toshio Uchiyama (HIU) PRMU2019-46 |
For analytic purposes of the scientific processes on how food influence our health, the measurement data on medical or g... [more] |
PRMU2019-46 pp.1-6 |
HCGSYMPO (2nd) |
2019-12-11 - 2019-12-13 |
Hiroshima |
Hiroshima-ken Joho Plaza (Hiroshima) |
Investigating relationship between impression evaluation of painting and eye movement pattern through hidden Markov model Shun Oue (Hosei Univ.), Yuiko Sakuta (Jissen Women's Univ.), Shigeru Akamatsu (Hosei Univ.) |
In this study, we analyzed whether there is any relationship between impression evaluation for painting and eye movement... [more] |
|
R |
2019-11-28 13:45 |
Osaka |
Central Electric Club |
A Note on Moment-Based Approximation for Uncertainty Propagation in Hierarchical Models Jiahao Zhang (Hiroshima Univ.), Junjun Zheng (Ritsumeikan Univ.), Hiroyuki Okamura, Tadashi Dohi (Hiroshima Univ.) R2019-43 |
This paper discusses an approximation method for uncertainty propagation in a hierarchical model. The uncertainty propag... [more] |
R2019-43 pp.1-6 |
R |
2019-11-28 14:10 |
Osaka |
Central Electric Club |
Non-homogeneous Markov Process Modeling for Software Reliability Assessment Siqiao Li, Tadashi Dohi, Hiroyuki Okamura (Hiroshima U.) R2019-44 |
In this paper, we focus on non-homogeneous Markov processes, which are generalizations of the well-known non-homogeneous... [more] |
R2019-44 pp.7-12 |
R |
2019-11-28 15:35 |
Osaka |
Central Electric Club |
A Note on Optimal Rejuvenation Policies for Non-Markovian Availability Models with Aperiodic Checkpointing Junjun Zheng (Ritsumeikan Univ.), Hiroyuki Okamura, Tadashi Dohi (Hiroshima Univ.) R2019-47 |
In this paper, we present non-Markovian availability models for capturing the dynamics of system behavior of an operatio... [more] |
R2019-47 pp.23-28 |
SR (2nd) |
2019-11-04 - 2019-11-05 |
Overseas |
Rutgers University Inn & Conference Center, NJ, USA |
Traffic Prediction in Future Mobile Networks using Hidden Markov Model Sumeet Dash (Shiv Nadir Univ.), Sumit Maheshwari (Rutgers Univ.), Sudipta Mahapatra (IIT Kharagpur) |
The recent advances in the wireless network architectures are mainly focused on improving the end-user performance as me... [more] |
|
R |
2019-10-25 14:00 |
Nagasaki |
Fukue Culture Center |
Multiple Change-Point Modeling for Software Reliability Assessment Shinji Inoue (Kansai Univ.), Shigeru Yamada (Tottori Univ.) R2019-38 |
We discuss Markovian imperfect debugging modeling for software reliability assessment with multiple changes of testing e... [more] |
R2019-38 pp.1-6 |
NS |
2019-10-10 13:30 |
Aichi |
Nagoya Institute of Technology |
[Poster Presentation]
Throughput Analysis for Full Duplex Wireless Local Area Networks with Inter-User Interference Kosuke Sanada, Hiroyuki Hatano, Kazuo Mori (Mie Univ.) NS2019-105 |
Full duplex (FD) communication can potentially double the throughput of a point-to-point link. However, to achieve such ... [more] |
NS2019-105 pp.27-32 |
RCS, SAT (Joint) |
2019-08-23 14:10 |
Aichi |
Nagoya University |
[Invited Lecture]
Performance Analysis for Synchronous and Asynchronous Full Duplex MAC Protocols in Wireless Local Area Networks with Hidden Nodes Kosuke Sanada (Mie Univ.) SAT2019-42 RCS2019-171 |
Full duplex (FD) communication can potentially double the throughput of a point-to-point link. However, to achieve such ... [more] |
SAT2019-42 RCS2019-171 p.129(SAT), p.127(RCS) |