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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| AI | 2023-09-12 15:55 |
Hokkaido |  AI2023-6 |
(To be available after the conference date) [more] | AI2023-6 pp.33-36 |
|
| AI | 2023-09-12 17:10 |
Hokkaido | Visualization of Parameter Effects in Pedestrian Flow Simulation Considering Multiple Metrics Chisa Mori (Ochanomizu Univ.), Mei Takeda (Tsukuba Univ.), Masaki Onishi (AIST), Takayuki Itoh (Ochanomizu Univ.) AI2023-9 |
Pedestrian flow simulation is an effective approach for predicting human behaviors and movement patterns in practical sc... [more] | AI2023-9 pp.45-49 |
|
| NS, IN, CS, NV (Joint) |
2023-09-08 14:45 |
Miyagi | Tohoku University (Primary: On-site, Secondary: Online) |
Loop Processing Performance in Kotlin and Java Hayataka Nakamura (Kogakuin Univ.), Takeshi Kamiyama (Nagasaki Univ.), Masato Oguchi (Ochanomizu Univ.), Saneyasu Yamaguchi (Kogakuin Univ.) NS2023-65 |
We evaluated the performance of Kotlin and Java programs, and thereafter, proposed a method to improve the performance o... [more] | NS2023-65 pp.77-82 |
| NS | 2023-05-12 11:15 |
Tokyo | Shinjuku Campus, Kogakuin University + Online (Primary: On-site, Secondary: Online) |
A Study on the Performance of KVS Supported by Application Switch with Lexical Analyzer Satoshi Ito (Kogakuin Univ.), Akihiro Nakao (Univ. of Tokyo), Masato Oguchi (Ochanomizu Univ.), Saneyasu Yamaguchi (Kogakuin Univ.) NS2023-18 |
[more] | NS2023-18 pp.43-48 |
| SS | 2023-03-14 11:50 |
Okinawa | (Primary: On-site, Secondary: Online) |
Temporal relation identification toward generating temporal logic formulas Maiko Onishi (Ochanomizu Univ.), Shinpei Ogata, Kozo Okano (Shinshu Univ.), Daisuke Bekki (Ochanomizu Univ.) SS2022-49 |
There is room to utilize temporal relations in relation extraction that is incorporated in the analysis of requirements ... [more] | SS2022-49 pp.13-18 |
| NC, MBE (Joint) |
2023-03-13 15:30 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Estimation of in vivo brain water dynamics using a two-photon microscope with an automatic spherical aberration collection system Aoi Gohma (Ochanomizu Univ.), Naoya Adachi, Yoshihiro Ue, Kaori Higuchi, Atsushi Miyawaki (RIKEN), Hiromu Monai (Ochanomizu Univ.) NC2022-96 |
(To be available after the conference date) [more] | NC2022-96 pp.31-34 |
| RCS, NS (Joint) |
2022-12-15 10:35 |
Aichi | Nagoya Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
Service Identification Based on Selected SNI Considering Entropy Ryo Asaoka (Kogakuin Univ.), Akihiro Nakao (University of Tokyo), Masato Oguchi (Ochanomizu Univ.), Saneyasu Yamaguchi (Kogakuin Univ.) NS2022-130 |
[more] | NS2022-130 pp.11-16 |
| NS, ICM, CQ, NV (Joint) |
2022-11-24 15:45 |
Fukuoka | Humanities and Social Sciences Center, Fukuoka Univ. + Online (Primary: On-site, Secondary: Online) |
A Study on Distributed Machine Learning with Rich Devices Feedbacking Results to Edge Servers Saki Takano (Ochanomizu Univ.), Akihiro Nakao (The Univ. of Tokyo), Saneyasu Yamaguchi (Kogakuin Univ.), Masato Oguchi (Ochanomizu Univ.) NS2022-111 |
Many recent studies have focused on using the data collected by edge devices for machine learning by aggregating those d... [more] | NS2022-111 pp.65-70 |
| COMP | 2022-10-26 11:15 |
Fukuoka | Kyusyu Univ. Nishijin Plaza | A Moderately Exponential Time Satisfiability Algorithm for Linear-Sized Deterministic Width-2 Branching Programs Tomu Makita (Seikei Univ.), Atsuki Nagao (Ochanomizu Univ.), Tatsuki Okada (Seikei Univ.), Kazuhisa Seto (Hokkaido Univ.), Junichi Teruyama (Univ. of Hyogo) COMP2022-14 |
[more] | COMP2022-14 pp.2-6 |
| PRMU, IPSJ-CVIM | 2022-03-11 09:45 |
Online | Online | A Study on Understanding the Meaning of Adverbs by Frequency Spectrum Analysis Using Gaussian Process Tomoe Taniguchi (Ochanomizu Univ.), Daichi Mochihashi (ISM), Masatoshi Nagano, Tomoaki Nakamura (UEC), Takayuki Nagai (Osaka Univ.), Tetsunari Inamura (NII), Ichiro Kobayashi (Ochanomizu Univ.) PRMU2021-74 |
In this study, we attempt to understand the meaning of adverbs through the features of human actions. Specifically, the... [more] |
PRMU2021-74 pp.91-96 |
| NS | 2021-10-08 09:15 |
Online | Online | A study of privacy-preserving distributed machine learning using Rich Clients Saki Takano (Ochanomizu Univ.), Akihiro Nakao (The Univ. of Tokyo), Saneyasu Yamaguchi (Kogakuin Univ.), Masato Oguchi (Ochanomizu Univ.) NS2021-76 |
In recent years, edge computing has attracted much attention because of its advantages such as low latency and the abili... [more] | NS2021-76 pp.45-50 |
| DE | 2021-07-24 13:05 |
Kanagawa | KAIT IT extension center (Hybrid) (Primary: On-site, Secondary: Online) |
Examination of personalization improvement of spot recommendation system considering personality characteristics Momo Ito (Ochanomizu Univ.), Miki Enoki (IBM Research - Tokyo), Masato Oguchi (Ochanomizu Univ.) DE2021-9 |
(To be available after the conference date) [more] | DE2021-9 pp.46-51 |
| KBSE, IPSJ-SE, SS [detail] | 2021-07-08 14:15 |
Online | Online (Zoom) | Extraction method for transition relations from conditional statements in natural language requirements specifications Maiko Onishi (Ochanomizu Univ.), Hiroya Ii, Shinpei Ogata, Kozo Okano (Shinshu Univ.), Daisuke Bekki (Ochanomizu Univ.) SS2021-5 KBSE2021-17 |
In software development, it is generally known that detecting defects at an early stage of the process reduces rework an... [more] | SS2021-5 KBSE2021-17 pp.25-30 |
| PRMU, IPSJ-CVIM, IPSJ-NL | 2021-05-21 10:30 |
Online | Online | A Study on Domain Adaptation for Video Action Classification Utilizing Synthetic Data. Hana Isoi (Ochanomizu Univ.), Atsuko Takefusa (NII), Hidemoto Nakada (AIST), Masato Oguchi (Ochanomizu Univ.) PRMU2021-5 |
The lack of learning data is considered as one of the reasons why the classification accuracies of deep neural networks ... [more] | PRMU2021-5 pp.25-30 |
| NC, MBE (Joint) |
2021-03-04 15:25 |
Online | Online | Movement features affecting judgement of proficiency of classic ballet dancing
-- An analysis of flapping movement of white swan -- Atsushi Hosoi, Kojiro Ojima (UEC), Yui Kawano (JISS), Mayumi Kuno-Mizumura (Ochanomizu Univ.), Yutaka Sakaguchi (UEC) NC2020-60 |
Aiming to determine the mechanism of body manipulation affecting the “proficiency impression” of dance performance, we p... [more] | NC2020-60 pp.101-105 |
| NS | 2020-05-14 - 2020-05-15 |
Online | Online | Performance Improvement of Network Application by Application Switch Considering Packet Acknowledgement Tomoaki Kanaya (Kogakuin Univ.), Akihiro Nakao (UTokyo), Masato Oguchi (Ochanomizu Univ.), Shu Yamamoto (UTokyo), Saneyasu Yamaguchi (Kogakuin Univ.) NS2020-15 |
In our previous work, we have proposed an application switch which can be programmed and provide some functions of the s... [more] | NS2020-15 pp.45-50 |
| NS | 2020-05-14 - 2020-05-15 |
Online | Online | A Service Identification Based on Frequencies of SNIs Yuto Soma, Akihiro Yamauchi (Kogakuin Univ.), Akihiro Nakao (UTokyo), Masato Oguchi (Ochanomizu Univ.), Shu Yamamoto (UTokyo), Saneyasu Yamaguchi, Aki Kobayashi (Kogakuin Univ.) NS2020-16 |
In the internet, a variety of services, such as video sharing and web search, are provided. Service identification from ... [more] | NS2020-16 pp.51-56 |
| RISING (2nd) |
2019-11-26 10:30 |
Tokyo | Fukutake Learning Theater, Hongo Campus, Univ. Tokyo | [Poster Presentation]
A Study on User Identification with Deep Learning Based on Sensed Data of Accelerometer Yusuke Sato (Kogakuin Univ.), Takeshi Kamiyama, Akira Fukuda (Kyushu Univ.), Masato Oguchi (Ochanomizu Univ.), Saneyasu Yamaguchi (Kogakuin Univ.) |
[more] | |
| RISING (2nd) |
2019-11-26 10:30 |
Tokyo | Fukutake Learning Theater, Hongo Campus, Univ. Tokyo | [Poster Presentation]
Intelligent Application Switch for KVS Performance Improvement Tomoaki Kanaya, Hiroaki Yamauchi (Kogakuin Univ.), Akihiro Nakao (Tokyo Univ.), Masato Oguchi (Ochanomizu Univ.), Shu Yamamoto (Tokyo Univ.), Saneyasu Yamaguchi (Kogakuin Univ.) |
In our previous work, we proposed an application switch that can execute an application process in a switch. In this pap... [more] | |
| RISING (2nd) |
2019-11-26 14:10 |
Tokyo | Fukutake Learning Theater, Hongo Campus, Univ. Tokyo | [Poster Presentation]
Prediction of Network Traffic Variations Based on Network Parameters in Wired Network by Deep Learning Haruka Osanai (Ochanomizu Univ.), Akihiro Nakao, Shu Yamamoto (The Univ. of Tokyo), Saneyasu Yamaguchi (Kogakuin Univ.), Masato Oguchi (Ochanomizu Univ.) |
[more] | |
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