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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| AP | 2024-04-11 13:50 |
Hyogo | KOBE PORT OASIS (Primary: On-site, Secondary: Online) |
Statistics of the maximum rainfall for N years in Japan Yoshio Karasawa  AP2024-3 |
We investigate the statistical properties of extreme rainfall data (annual maximum values) in Japan. This report is a se... [more] | AP2024-3 pp.13-18 |
| ICM | 2024-03-22 09:50 |
Okinawa | Okinawa Prefectural Museum and Art Museum (Primary: On-site, Secondary: Online) |
Proposal for Parallel Code Generation and Dynamic Distributed-Cluster Selection in Ray Application Rina Ueno, Nao Nisijima (Hitachi) ICM2023-53 |
In data analysis systems, a distributed processing infrastructure can be used to increase speed through parallelization ... [more] | ICM2023-53 pp.47-50 |
| RCC, ISEC, IT, WBS | 2024-03-13 14:15 |
Osaka | Osaka Univ. (Suita Campus) | Data processing methods for high-performance Privacy-Preserving Machine Learning Tatsuhiro Yamatsuki (Osaka Univ.), Atsuko Miyaji (Osaka Univ./JAIST) IT2023-94 ISEC2023-93 WBS2023-82 RCC2023-76 |
Currently, attempts are being made in various fields to solve problems by utilizing big data. However, privacy protectio... [more] | IT2023-94 ISEC2023-93 WBS2023-82 RCC2023-76 pp.118-126 |
| NS, IN (Joint) |
2024-02-29 09:20 |
Okinawa | Okinawa Convention Center | Cross organizational data distribution and federation method considering data governance Masataka Mizukoshi, Kei Omura, Yoshihito Oshima (NTT) IN2023-65 |
Efforts to utilize data beyond the boundaries of companies and organizations, as exemplified by initiatives such as smar... [more] | IN2023-65 pp.1-6 |
| NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-25 16:50 |
Tokushima | Naruto University of Education | Analysis of Synchrophasor Data in a Distribution Grid Using Koopman Mode Decomposition toward Dimensionality Reduction Tadahiro Yano, Yoshihiko Susuki (Kyoto Univ.) NLP2023-118 MICT2023-73 MBE2023-64 |
In this report, we study a method to reduce the dimension on highly-resolved time series data of voltage phasors measure... [more] | NLP2023-118 MICT2023-73 MBE2023-64 pp.162-165 |
| NLP, CAS | 2023-10-06 15:40 |
Gifu | Work plaza Gifu | A clustering system of binary data based on reccurent neural network Kazuma Kiyohara, Toshimichi Saito (HU) CAS2023-44 NLP2023-43 |
This paper studies clustering methods for binary data based on nonlinear dynamics in associative memories (AM). The... [more] |
CAS2023-44 NLP2023-43 pp.62-65 |
| R | 2023-09-28 15:20 |
Fukuoka | (Primary: On-site, Secondary: Online) |
Polynomial Failure Models: Theory and Applications Tadashi Dohi, Hiroyuki Okamura (Hiroshima Univ.) R2023-41 |
In this paper we summarize two polynomial failure models, where the lifetime distributions are described by canonical po... [more] | R2023-41 pp.22-27 |
| DE, IPSJ-DBS, IPSJ-IFAT [detail] | 2023-09-22 11:20 |
Fukuoka | Kitakyushu International Conference Center | A prototype system for interactively combining more than 1000 pieces of table formatted big data and interactively overviewing of it
-- Performance measurement of overviewing (displaying, searching, tabulating, and sorting) more than 3 trillion records of virtual table formatted data -- Shinji Furusho (NNI Technologies), Atsushi Iizawa (Ricoh IT Solutions), Hiroshi Tezuka (Bird's-eye View Engineering Institute), Yukio Yamamoto (ISAS), Takashi Matsuhisa, Manabu Iida (SEC), Tadashi Nagao (Layman's Admin) DE2023-24 |
The virtual tabular data, created with the purpose of facilitating the distribution of diverse tabular big data, is a vi... [more] | DE2023-24 pp.78-83 |
| CPSY, DC, IPSJ-ARC [detail] | 2023-08-03 09:00 |
Hokkaido | Hakodate Arena (Primary: On-site, Secondary: Online) |
Proposal of Data Protection Features using Peak Shift Method of Drive Failure Risk Takaki Nakamura (Tohoku Univ.), Hitoshi Kamei (Kagawa Univ.) CPSY2023-8 DC2023-8 |
We propose a peak shift method for data protection that considers time-series changes in drive failure risk and the risk... [more] | CPSY2023-8 DC2023-8 pp.1-6 |
| SeMI, RCS, RCC, NS, SR (Joint) |
2023-07-13 13:50 |
Osaka | Osaka University Nakanoshima Center + Online (Primary: On-site, Secondary: Online) |
A GAN-Based Data Augmentation Approach to Improve Heart Rate Range Classification via Doppler Radar Danyuan Yu, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.) SeMI2023-31 |
In this work, a novel data augmentation framework is proposed for improving heart rate (HR) range classification using D... [more] | SeMI2023-31 pp.46-51 |
| RCS | 2023-06-16 11:00 |
Hokkaido | Hokkaido University, and online (Primary: On-site, Secondary: Online) |
A Study on Adaptively Scaled Belief of PDA Iterative Receiver for QAM-FTN Signaling Rei Kajita, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2023-72 |
Quadrature amplitude modulation (QAM) –faster-than-Nyquist (FTN) transmission can improve data rate by superimposing sym... [more] | RCS2023-72 pp.259-263 |
| CCS, NLP | 2023-06-09 11:10 |
Tokyo | Tokyo City Univ. | A study on learning Koopman operators from synchrophasor data on distribution voltage amplitudes Tadahiro Yano, Yoshihiko Susuki (Kyoto Univ.) NLP2023-21 CCS2023-9 |
In recent years, the so-called micro-Phasor Measurement Unit ($mu$PMU) has become a promising new option for managing AC... [more] | NLP2023-21 CCS2023-9 pp.35-38 |
| NLP, MSS | 2023-03-15 10:40 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Spectral analysis of synchropahsor data in a campus distribution grid: Comparison of numerical methods Munetaka Noguchi (Osaka Prefecture Univ.), Yoshihiko Susuki (Kyoto Univ.), Atsushi Ishigame (Osaka Metropolitan Univ.) MSS2022-64 NLP2022-109 |
Recently, the so-called micro-Phasor Measurement Unit (μPMU) with high-resolution capability has been expected as a new ... [more] | MSS2022-64 NLP2022-109 pp.11-16 |
| R | 2023-03-10 16:40 |
Hiroshima | (Primary: On-site, Secondary: Online) |
A Study on a Statistical Detection Method for Cascading Failure of Bearings Based on Copula Models Mitsuhiro Kimura (Hosei Univ.), Shuhei Ota (Kanagawa Univ.) R2022-56 |
The present paper analyzes the IMS dataset from an accelerated testing environment of four coaxially mounted roller elem... [more] | R2022-56 pp.47-52 |
| IN, NS (Joint) |
2023-03-03 12:00 |
Okinawa | Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
Proposal of Applying Blockchain Technology to IoT Data Distribution Method Hayato Kumazaki, Takafumi Taya, Eishin Nagaoka, Osamu Mizuno (Kogakuin Univ.) IN2022-110 |
We have proposed Ticket-based Access Control, an access control system with a token called a ticket and Tag ID, which is... [more] | IN2022-110 pp.265-270 |
| RCS, SR, SRW (Joint) |
2023-03-01 11:15 |
Tokyo | Tokyo Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
Self-Superviced Non-IID Federated Learning by using CKA Li Zhaojie, Ohtsuki Tomoaki (Keio Univ.), Gui Guan (NJUPT) RCS2022-254 |
Federated Learning is now widely used to train neural networks on distributed datasets. It allows a system to perform di... [more] | RCS2022-254 pp.42-47 |
| EST | 2023-01-27 12:00 |
Okinawa | (Primary: On-site, Secondary: Online) |
Estimation of relative permittivity distribution in concrete using FDTD method and ensemble Kalman filter Yoshihito Yamamoto, Kota Kubo, Shunpei Fujimori (Hosei Univ.), Jun Sonoda (NIT, Sendai College) EST2022-96 |
In order to estimate the heterogeneous permittivity distribution inside concrete, an ensemble Kalman filter is applied t... [more] | EST2022-96 pp.112-116 |
| IBISML | 2022-12-22 15:10 |
Kyoto | Kyoto University (Primary: On-site, Secondary: Online) |
Effect of Prior Distribution when Data-Generating Process is in a Neighborhood of Singularities of Learning Machines Nozomi Maki, Sumio Watanabe (TokyoTech) IBISML2022-46 |
Learning machines which have hierarchical structure or latent variables such as deep learning or normal mixtures contain... [more] | IBISML2022-46 pp.18-23 |
| RISING (3rd) |
2022-10-31 15:00 |
Kyoto | Kyoto Terrsa (Day 1), and Online (Day 2, 3) | [Poster Presentation]
Performance Evaluation of Completion Transmission Control with Collision Avoidance for Large Spatio-temporal Data Retention Hotaka Kaneyasu, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga (KIT) |
Spatio-temporal aware IoT applications need to deliver the spatio-temporal data (STD), which depends on geographic locat... [more] | |
| PRMU | 2022-09-14 11:00 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Disease and severity classification of coffee leaf images by global low-level feature aggregation network Takuhiro Okada, Satoshi Iizuka, Kazuhiro Fukui (Univ. of Tsukuba) PRMU2022-14 |
Coffee leaf disease is one of the most important problems in coffee production. It is very important in the coffee produ... [more] | PRMU2022-14 pp.25-30 |
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