Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
EMCJ |
2024-04-26 14:35 |
Okayama |
Okayama University |
EM/circuit Co-analysis of Mode Conversion due to Continuous Imbalance-factor Change in a Three-conductor Transmission Line System Kazuto Kouno (Okayama Univ), Sho Kanao (Ishikawa Technical College), Kengo Iokibe, Yoshitaka Toyota (Okayama Univ) EMCJ2024-1 |
The direct connection of a microstrip line and a parallel two-wire cable with different imbalance factors causes mode co... [more] |
EMCJ2024-1 pp.1-6 |
NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-25 11:10 |
Tokushima |
Naruto University of Education |
Realization of Finite Automata using Heteroclinic Mechanism in Continuous-Time Recurrent Networks Naoya Sugawara, Asaki Saito (Future Univ. Hakodate) NLP2023-105 MICT2023-60 MBE2023-51 |
In this study, we propose a method to construct a continuous-time recurrent network that operates with small inputs and ... [more] |
NLP2023-105 MICT2023-60 MBE2023-51 pp.102-105 |
QIT (2nd) |
2023-12-18 16:50 |
Okinawa |
OIST (Primary: On-site, Secondary: Online) |
Research on mathematical formulation of infinite-dimensional quantum graphical calculus model based on non-standard analysis Hironari Nagayoshi (UTokyo), Asavanant Warit (UTokyo/RIKEN), Ryuhoh Ide (UTokyo), Akira Furusawa (UTokyo/RIKEN) |
Continuous-variable quantum computation (CV-QC) is an approach for quantum computing utilizing quantum states of infinit... [more] |
|
NLC, IPSJ-NL |
2023-03-18 11:05 |
Okinawa |
OIST (Primary: On-site, Secondary: Online) |
Estimating Named Entity Label Representation for Generative Low-Resource NER Yuya Sawada (NAIST), Hiroki Teranishi (RIKEN AIP), Hiroki Ouchi (NAIST), Yuji Matsumoto (RIKEN AIP), Taro Watanabe (NAIST) NLC2022-22 |
Named entity recognition (NER) system needs to identify the entities of novel entity types with fewer examples. Few-shot... [more] |
NLC2022-22 pp.16-21 |
NC, NLP |
2023-01-29 14:25 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
Continuous Value Control of Robot with Reservoir Actor-Critic Model Koutaro Minato, Yuichi Katori (Future Univ Hakodate) NLP2022-103 NC2022-87 |
Deep learning is expected to be utilized to control robots operating in complex environments, but this requires a large ... [more] |
NLP2022-103 NC2022-87 pp.118-122 |
NS, ICM, CQ, NV (Joint) |
2022-11-25 13:00 |
Fukuoka |
Humanities and Social Sciences Center, Fukuoka Univ. + Online (Primary: On-site, Secondary: Online) |
[Invited Talk]
Continual Learning for Privacy Protection and Data Leakage Prevention Takashi Shibata (NTT) NS2022-123 CQ2022-56 ICM2022-26 |
Continuous learning aims to train a highly expressive model for a new task while retaining all knowledge about previous ... [more] |
NS2022-123 CQ2022-56 ICM2022-26 pp.131-132(NS), pp.52-53(CQ), pp.25-26(ICM) |
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 |
NC, MBE (Joint) |
2020-03-06 09:30 |
Tokyo |
University of Electro Communications (Cancelled but technical report was issued) |
Conjunctive Representation of Position and Magnitude in an expansion of Continuous Attractor Networks Jonathan Kar-Sing Lai (UTokyo), Yoko Yamaguchi (KIT/UTokyo/RIKEN CBS) NC2019-104 |
Continuous Attractor Neural Networks are often used as models of working memory where they store information through the... [more] |
NC2019-104 pp.163-167 |
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] |
2019-06-17 17:00 |
Okinawa |
Okinawa Institute of Science and Technology |
Adaptive Discretization based Predictive Sequence Mining for Continuous Time Series Yoshikazu Shibahara, Takuto Sakuma (NIT), Ichiro Takeuchi (NIT/RIKEN/NIMS), Masayuki Karasuyama (NIT/NIMS) IBISML2019-9 |
In recent years, improvement of sensor performance and spread of portable devices such as smartphones enable us to easil... [more] |
IBISML2019-9 pp.57-64 |
SS |
2019-03-04 09:25 |
Okinawa |
|
Behavioral Verification of Yampa Programs in a Discrete Runtime Environment using Uppaal Riku Nakane, Shoji Yuen (Nagoya Univ.) SS2018-52 |
This study proposes a verification of Yampa program behavior in the discrete runtime environment using Uppaal. Although ... [more] |
SS2018-52 pp.1-6 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2018-09-20 09:30 |
Fukuoka |
|
Proposal of Continuous Authentication Algorithm DPTM Using Dynamic Biometrics of Keystroke and Mouse Dynamics Takeshi Yamada (DIT), Shinya Fukumoto, Masayuki Kashima, Kiminori Sato, Mutsumi Watanabe (Kagoshima Univ.) PRMU2018-42 IBISML2018-19 |
Current computers mostly authenticate only once at login, and continuous authentication after login has not been done. C... [more] |
PRMU2018-42 IBISML2018-19 pp.41-46 |
NLP |
2017-03-14 10:25 |
Aomori |
Nebuta Museum Warasse |
Search Capability of Random Search PSO with Linked Random Update Kouhei Sakayori, Masato Kaneko, Toshiya Iwai (Nihon Univ.) NLP2016-107 |
Particle Swarm Optimization (PSO) is a metaheuristics using the swarm intelligence. Although PSO is usually applied to t... [more] |
NLP2016-107 pp.7-12 |
SP, SIP, EA |
2017-03-01 12:40 |
Okinawa |
Okinawa Industry Support Center |
[Poster Presentation]
Reverberant speech enhancement with deep auto encoder based on harmonic structure Rikuto Ota, Yukoh Wakabayashi, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.) EA2016-107 SIP2016-162 SP2016-102 |
This paper describes reverberant speech enhancement (RSE) with deep auto encoder (DAE) based on harmonic structure. DAEs... [more] |
EA2016-107 SIP2016-162 SP2016-102 pp.141-146 |
RCS, RCC, ASN, NS, SR (Joint) |
2016-07-21 13:20 |
Aichi |
|
[Encouragement Talk]
The Effect of Network Topology on the Spread of Self-Evolving Botnets Takanori Kudo (Setsunan Univ.), Tomotaka Kimura (Tokyo Univ. of Science), Yoshiaki Inoue (Osaka Univ.), Hirohisa Aman (Ehime Univ.), Kouji Hirata (Kansai Univ.) NS2016-63 |
As the previous work, we have proposed an epidemic model of new botnets
named self-evolving botnets that autonomously ... [more] |
NS2016-63 pp.69-74 |
IE, IMQ, MVE, CQ (Joint) [detail] |
2016-03-07 09:00 |
Okinawa |
|
Uncalibrated Photometric Stereo Using a Trained Image Formation Model Keisuke Midorikawa, Toshihiko Yamasaki, Kiyoharu Aizawa (UT) IMQ2015-28 IE2015-127 MVE2015-55 |
In this paper we present a new method solving the uncalibrated photometric stereo (PS) problem for non-Lambertian surfac... [more] |
IMQ2015-28 IE2015-127 MVE2015-55 pp.7-12 |
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] |
2015-02-24 10:15 |
Hokkaido |
Hokkaido Univ. |
Operator Independent Gesture Identification for Multiuser Slide Interface Kazuma Miyanabe, Hiroki Takahashi (UEC) |
This paper aims for providing operator independent gesture identification for multiuser slide interface.
Generally, pre... [more] |
|
IE, ICD, VLD, IPSJ-SLDM [detail] |
2013-10-07 16:05 |
Aomori |
|
A 2.4x-Real-Time VLSI Processor for 60-kWord Continuous Speech Recognition Guangji He, Yuki Miyamoto, Kumpei Matsuda, Shintaro Izumi, Hiroshi Kawaguchi, Masahiko Yoshimoto (Kobe Univ) VLD2013-52 ICD2013-76 IE2013-52 |
This paper describes a low-power VLSI chip for speaker-independent 60-kWord continuous speech recognition based on a co... [more] |
VLD2013-52 ICD2013-76 IE2013-52 pp.29-34 |
R |
2013-05-17 11:30 |
Hiroshima |
|
Toward Quantification of System Resiliency based on Markov Models Chao Luo, Jungang Guan, Hiroyuki Okamura, Tadashi Dohi (Hiroshima Univ.) R2013-4 |
Resiliency is one of the important attributes for measuring the robustness of system. The resiliency is generally define... [more] |
R2013-4 pp.19-23 |
R |
2013-05-17 11:55 |
Hiroshima |
|
A Note on Sensitivity of Transient Solutions of Continuous-Time Markov Chains Junjun Zheng, Hiroyuki Okamura, Tadashi Dohi (Hiroshima Univ.) R2013-5 |
This paper considers the parametric sensitivity analysis of continuous-time Markov chains (CTMCs). The sensitivity analy... [more] |
R2013-5 pp.25-29 |
R |
2013-05-17 17:15 |
Hiroshima |
|
[Fellow Memorial Lecture]
A Note on Preventive Maintenance Policies for Cumulative Damage Models Naoto Kaio (Hiroshima Shudo Univ.) R2013-15 |
In this paper, we discuss the preventive maintenance policies for the system that fails when the cumulated amount of dam... [more] |
R2013-15 pp.81-84 |