Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
KBSE |
2024-03-14 13:20 |
Okinawa |
Okinawa Prefectual General Welfare Center (Primary: On-site, Secondary: Online) |
A Method for Representing Non-Functional Requirements based on Exceptions Shuichiro Yamamoto (IPUT in Nagoya) KBSE2023-71 |
In order to prevent information system failures, it is not enough to simply define functional requirements; it is necess... [more] |
KBSE2023-71 pp.37-42 |
NLP, MSS |
2024-03-14 16:05 |
Misc. |
Kikai-Shinko-Kaikan Bldg. |
Functional electrical stimulator with wireless sequential logic central pattern generator model Rikuto Nozu, Hiroyuki Torikai (Hosei Univ) MSS2023-97 NLP2023-149 |
In this study, we design a functional electrical stimulator using a wireless sequential logic circuit central pattern ge... [more] |
MSS2023-97 NLP2023-149 p.123 |
PRMU, IBISML, IPSJ-CVIM |
2024-03-04 11:40 |
Hiroshima |
Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Learning and inference in the network of units with multi-dimensional internal states Akira Date, Ryosuke Yoshida (Univ. of Miyazaki) IBISML2023-51 |
We explore a network consisting of elements with multidimensional states.
The element is referred to as a brick, which ... [more] |
IBISML2023-51 pp.79-85 |
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-20 14:00 |
Hokkaido |
Hokkaido Univ. |
Fine-tuning Model for Diagnosis of Autism Spectrum Disorder Using fMRI Data Sae Yoshihara, Takuya Kitamura (NITT) ITS2023-71 IE2023-60 |
In this paper, we propose and evaluate novel classification models generated by fine-tuning a pre-trained image classifi... [more] |
ITS2023-71 IE2023-60 pp.135-140 |
R |
2023-11-03 15:20 |
Ishikawa |
The Kanazawa Chamber of Commerce and Industry (Primary: On-site, Secondary: Online) |
Formulation of Process Safety Time and Function Accomplishment Time for Assessment of SOTIF Yoshinobu Sato (Institute of HQI) R2023-48 |
Framework of functional safety provides how to control and/or reduce safety risk by (a) safety function(s) performed by ... [more] |
R2023-48 pp.20-25 |
SS, DC |
2023-10-11 15:20 |
Nagano |
(Primary: On-site, Secondary: Online) |
Efficient Automatic Classification of Non-Functional Requirements in Information Systems Using Deep Learning
-- A Comparative Accuracy Analysis between BERT and GPT-2 -- Kazuhiro Mukaida (Shinshu Univ.), Seiji Fukui, Takeshi Nagaoka, Takayuki Kitagawa (TOSHIBA), Shinpei Ogata, Kozo Okano (Shinshu Univ.) SS2023-23 DC2023-29 |
Recent Advancements in deep learning are increasingly enabling the automation of classifying non-functional requirements... [more] |
SS2023-23 DC2023-29 pp.13-18 |
ED |
2022-12-09 15:00 |
Aichi |
12/8 Nagoya University, 12/9 WINC AICHI |
Ab initio calculations of field emission from carbon nanotubes based on time-dependent density functional theory Toshiharu Higuchi, Yoichi Yamada, Masahiro Sasaki (Tsukuba Univ.) ED2022-67 |
In order to investigate the emission mechanism of carbon nanotubes (CNTs),we calculated the field emission currents of 9... [more] |
ED2022-67 pp.55-58 |
IT |
2022-07-21 14:55 |
Okayama |
Okayama University of Science (Primary: On-site, Secondary: Online) |
A Data Compression Method Where The Codeword Is a Computer Program Generating The Data Mitsuharu Arimura (Shonan Inst. Tech.) IT2022-19 |
The Kolmogorov complexity of a string is defined as the shortest length of the program on a Turing machine used to repre... [more] |
IT2022-19 pp.18-23 |
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 |
PN, MWP, EMT, PEM, IEE-EMT [detail] |
2022-01-27 10:35 |
Online |
Online |
Modeling and experimental study of W-band millimeter-wave scattering from slightly rough surfaces Riku Yoshino, Tomohiko Kanaya, Shintaro Takada, Kunihisa Jitsuno (Waseda Univ), Keizo Inagaki (NICT), Tetsuya Kawanishi (Waseda Univ) PN2021-33 EMT2021-49 MWP2021-38 |
Recently, millimeter-wave and THz bands have been attracting attention as transmission media for high-speed wireless com... [more] |
PN2021-33 EMT2021-49 MWP2021-38 pp.7-10 |
R |
2021-11-30 14:50 |
Online |
Online |
Safety Analysis for Safety-Related Software Based on a Fault Detection Count Model Shinji Inoue (Kansai Univ.), Takaji Fujiwara (SRATECH Lab.), Shigeru Yamada (Tottori Univ.) R2021-38 |
IEC 61508 is widely known as the international standard for the functional safety of electrical/electronic/programmable ... [more] |
R2021-38 pp.24-29 |
MBE, IEE-MBE |
2021-06-25 13:30 |
Online |
Online |
A Study on Tuning of Fuzzy FES Controller Using Electrical Stimulation Response Model Shungo Iguchi, Takashi Watanabe (Tohoku Univ), Achmad Arifin (ITS) MBE2021-6 |
In order to assist ankle joint movements of paraplegics during walking by using functional electrical stimulation (FES),... [more] |
MBE2021-6 pp.1-5 |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2021-02-18 13:25 |
Online |
Online |
A Note on Estimation of Semantic Content Based on a Question Answering Model Using Brain Activity Data while Viewing Images
-- Improvement of Estimation Performance Based on Fine-tuning of the VQA model -- Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we propose a semantic content estimation method based on a question and answer generation model using bra... [more] |
|
CQ (2nd) |
2021-01-21 13:30 |
Online |
Online |
[Invited Lecture]
Individual representation of creativity using large-scale brain dataset Takeshi Ogawa (ATR) |
Thanks to development of machine learning methods based on large-scale data, it has made huge impacts on not only image ... [more] |
|
MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-29 12:05 |
Online |
Online |
Constructing structured data on functional hypotheses of the brain Mei Sasaki, Naoya Arakawa, Hiroshi Yamakawa (WBAI) NC2020-11 |
In the recent years, it has become popular in the field of neuroscience to publish experimental data and models as open ... [more] |
NC2020-11 pp.14-20 |
CPSY, DC, IPSJ-ARC [detail] |
2020-07-31 17:30 |
Online |
Online |
An Area Reduction Oriented Controller Augmentation Method Based on Functionally Equivalent Finite State Machine Generation Atsuya Tsujikawa, Toshinori Hosokawa (Nihon Univ.), Masayoshi Yoshimura (Kyoto Sangyo Univ.) CPSY2020-15 DC2020-15 |
In recent year, controller augmentation has been used for design-for-testability and design-for-security at register tra... [more] |
CPSY2020-15 DC2020-15 pp.93-98 |
MI |
2020-01-29 14:00 |
Okinawa |
OKINAWAKEN SEINENKAIKAN |
Effects of skull and surrounding area in functional MRI analysis using Convolutional Neural Network Yuta Hosoi, Takafumi Hayashi (Niigata Univ.) MI2019-86 |
A fuctional MRI(fMRI) has been used in various fields from medicine and neuroscience to psychology andlinguistics since ... [more] |
MI2019-86 pp.91-96 |
NLP, NC (Joint) |
2020-01-24 15:05 |
Okinawa |
Miyakojima Marine Terminal |
An exhaustive scenario inspection of two vehicles on the road toward the complete safety assessment of automated driving systems with arbitrary N-body interactions Keita Kawano (Kyutech), Ryosuke Katoh, Hisashi Imanaga (JARI), Hiroaki Wagatsuma (Kyutech/RIKEN CBS/AIRC-AIST) NC2019-67 |
According to the commercialization of of automatic driving systems in recent years, the establishment of international s... [more] |
NC2019-67 pp.45-50 |
HIP |
2019-12-20 10:00 |
Miyagi |
RIEC, Tohoku University |
Correspondence between motion aftereffects in visual perception and visual cortex Wakana Koshizaka, Weijing Ren, Ichiro Kuriki, Yasuhiro Hatori, Chiahuei Tseng, Satoshi Shioiri (Tohoku Univ.) HIP2019-74 |
Visual motion perception is an important information for human living. It has been known that motion selective mechanism... [more] |
HIP2019-74 pp.51-56 |
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 |