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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| AP, SANE, SAT (Joint) |
2023-07-14 16:10 |
Hokkaido | The Citizen Activity Center (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Parameter Optimization in Radio Propagation Analysis Method with Quantum Annealing Keita Fujita, Tetsuro Imai (TDU), Wataru Yamada, Minoru Inomata, Nobuaki Kuno (NTT)  AP2023-63 |
Ray tracing methods for radio propagation analysis require a large amount of computation time due to the increase in the... [more] | AP2023-63 pp.176-180 |
| MSS, CAS, SIP, VLD | 2023-07-06 16:10 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Research on income inequality using Lengnick economic model Tessei Morisawa, Shima Takagi, Nao Ito (NIT.Toyama College) CAS2023-12 VLD2023-12 SIP2023-28 MSS2023-12 |
In recent years, income inequality has become an issue in developed countries such as Japan, and there is concern about ... [more] | CAS2023-12 VLD2023-12 SIP2023-28 MSS2023-12 pp.59-64 |
| WIT | 2023-06-16 16:15 |
Okinawa | Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Proposing a Feature-Analysis Method of Finger-Movement Data for Predicting Cognitive Function of Elderly People Hayato Seiichi, Sinan Chen, Atsuko Hayashi, Masahide Nakamura (Kobe Univ.) WIT2023-6 |
In recent years, a growing body of research has suggested a relationship between cognitive function and manual dexterity... [more] | WIT2023-6 pp.30-35 |
| CCS, NLP | 2023-06-09 13:30 |
Tokyo | Tokyo City Univ. | Bifurcation analysis and simulation of a biological switch model Quankai Zhang, Tetsushi Ueta (Tokushima Univ) NLP2023-23 CCS2023-11 |
Using a mathematical model of biological switches, we examine the phenomenon of cell differentiation under a cyclic exte... [more] | NLP2023-23 CCS2023-11 pp.45-48 |
| R | 2023-05-27 15:50 |
Aichi | Aichi University (Primary: On-site, Secondary: Online) |
R2023-6 |
In the parameter estimation of non-homogeneous Poisson processes by means of the maximum likelihood method, the genera... [more] |
R2023-6 pp.27-32 |
| EST | 2023-05-19 14:50 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Modeling of Step Discontinuity in Microstrip Line Width Keito Naitoh, Kei Terui, Tsugumichi Shibata (TCU) EST2023-8 |
In this paper, we study the equivalent circuit modeling of microstrip line discontinuities where the strip width suddenl... [more] | EST2023-8 pp.40-44 |
| HIP, HCS, HI-SIGCOASTER [detail] | 2023-05-15 10:20 |
Okinawa | Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Cognitive Load Estimation of Speech-in-Noise Recall Task with State-Space Models Mateusz Dubiel (uni.lu), Minoru Nakayama (Tokyo Tech.), Xin Wang (NII) HCS2023-7 HIP2023-7 |
Cognitive workload during a listening and recall task was estimated using a state-space model based on metrics of pupill... [more] | HCS2023-7 HIP2023-7 pp.29-32 |
| EMCJ, IEE-EMC, IEE-SPC | 2023-05-12 16:55 |
Okinawa | (Primary: On-site, Secondary: Online) |
Magnetization Characteristics Expression for Ferromagnetic Materials and its Model Parameter Dependency in Non-linear Spring and Static Friction Model Atsuhiro Nishikata (Tokyo Tech) EMCJ2023-10 |
Modeling the hysteresis characteristics of ferromagnetic materials is important for EMC design. The authors have previo... [more] |
EMCJ2023-10 pp.21-24 |
| DC, CPSY, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] | 2023-03-23 16:50 |
Kagoshima | Amagi Town Disaster Prevention Center (Tokunoshima) (Primary: On-site, Secondary: Online) |
Modeling performance of deep learning for image recognition on a GPU server Tetsuya Matsushita, Shinobu Miwa, Hayato Yamaki, Hiroki Honda (UEC) CPSY2022-39 DC2022-98 |
Deep learning frameworks have an input pipeline that executes data transfer and processes on CPU and GPU in a pipeline m... [more] | CPSY2022-39 DC2022-98 pp.31-36 |
| NLP, MSS | 2023-03-15 16:55 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Consideration of Mathematical Modeling for Allergy Kota Ohno, Hiroko Shoji (Chuo Univ.) MSS2022-79 NLP2022-124 |
Immunotherapy is well known in recent years as a treatment for allergic reactions to pollen and so on. A mathematical mo... [more] | MSS2022-79 NLP2022-124 pp.85-88 |
| RCC, ISEC, IT, WBS | 2023-03-14 15:20 |
Yamaguchi | (Primary: On-site, Secondary: Online) |
Estimation Performance of Sparse Bayesian Linear Regression model with t-distribution Kazuaki Murayama (UEC) IT2022-105 ISEC2022-84 WBS2022-102 RCC2022-102 |
In the sparse estimation with linear regression model, the t-distribution can be used as a prior distribution. We analyz... [more] | IT2022-105 ISEC2022-84 WBS2022-102 RCC2022-102 pp.236-241 |
| IN, NS (Joint) |
2023-03-02 10:40 |
Okinawa | Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
Study on Control Parameter Settings for Multi-path AIMD-based Window Flow Control Keita Goto, Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IN2022-67 |
In multi-path AIMD-based (Additive Increase and Multiplicative Decrease) window flow control, as typified by multipath T... [more] | IN2022-67 pp.11-15 |
| IN, NS (Joint) |
2023-03-02 13:50 |
Okinawa | Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
A Method for Automatic Generation of 3D Background Models using Fractal Models and Genetic Algorithms Kaito Watanabe, Naoto Hoshikawa (NIT, Oyama College), Hirotaka Nakayama (NAOJ), Tomoyoshi Ito, Atushi Shiraki (Chiba Univ) NS2022-190 |
In recent years, the 3DCG-related industry has grown rapidly and the demand for 3DCG content has increased. However, 3DC... [more] | NS2022-190 pp.133-138 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-03 16:40 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
On the analysis of diverse solutions in topic models Toshio Uchiyama, Tsukasa Hokimoto (HIU) PRMU2022-124 IBISML2022-131 |
Probabilistic Latent Semantic Analysis and Latent Dirichlet analysis are known as topic models to analyze text data and ... [more] | PRMU2022-124 IBISML2022-131 pp.355-362 |
| CAS, CS | 2023-03-02 10:20 |
Fukuoka | Kitakyushu International Conference Center (Primary: On-site, Secondary: Online) |
Parameterizarion Method for Rapid Solving by Duplicating Spins in Ising Model Kasumi Fukui, Kunihiro Fujiyoshi (TUAT) CAS2022-113 CS2022-90 |
The solution of combinatorial optimization problems based on the Ising Model is expected to find a quasi-optimal soluti... [more] |
CAS2022-113 CS2022-90 pp.101-106 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-21 11:10 |
Hokkaido | Hokkaido Univ. | [Special Talk]
Study of Probability Modeling for Lossless Image Coding Using Example Search and Adaptive Prediction Hiroki Kojima (KDDI), Yasuyo Kita, Ichiro Matsuda (Tokyo Univ. of Science) ITS2022-46 IE2022-63 |
Many efficient lossless image coding methods predict the next pel value to be coded from the pels already coded, and rem... [more] | ITS2022-46 IE2022-63 p.25 |
| NC, NLP | 2023-01-29 15:30 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Parametrization of balancing tasks based on state feedback control model
-- Proposition of nonlinear single-degree-of-freedom model -- Hibiki Nakayama, Yuya Nakamura, Yoshikazu Yamanaka, Katsutoshi Yoshida (Utsunomiya Univ.) NLP2022-105 NC2022-89 |
We have been researching dynamic characteristics of human behavior in balancing tasks. In our previous study, we propos... [more] |
NLP2022-105 NC2022-89 pp.129-134 |
| EMCJ | 2023-01-27 15:50 |
Okayama | WASHU BLUE RESORT (Primary: On-site, Secondary: Online) |
Investigation of Applicable Types of DC-DC Converters to Noise-source Equivalent-circuit Model for Conducted-noise Prediction Yanyu Jin, Shuqi Zhang, Kengo Iokibe, Yoshitaka Toyota (Okayama Univ.) EMCJ2022-89 |
We have so far proposed a noise-source equivalent-circuit model for predicting conducted noise from a DC-DC converter. T... [more] | EMCJ2022-89 pp.93-98 |
| US | 2023-01-25 15:30 |
Online | Online | The Optimized Lethal Cancer Treatment using Immunology and ME
-- Also considering the stance of ultrasound therapy -- Kazuhide Okada (NTMC) US2022-75 |
Even in the Pacific region, which is considered warmer, there are many cancer patients. Especially in Japan, more than h... [more] | US2022-75 pp.24-29 |
| IT, RCS, SIP | 2023-01-25 14:35 |
Gunma | Maebashi Terrsa (Primary: On-site, Secondary: Online) |
An Optimal Prediction on Multilevel Coefficient Linear Regression Model by Bayes Decision Theory and Its Approximation Method Kohei Horinouchi, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.) IT2022-67 SIP2022-118 RCS2022-246 |
It is common practice to apply Multilevel Analysis for the data sampled from various classes. In this Analysis, it is co... [more] | IT2022-67 SIP2022-118 RCS2022-246 pp.217-222 |
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