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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IA, SITE, IPSJ-IOT [detail] | 2024-03-12 10:45 |
Okinawa | Miyakojima City Future Creation Center (Primary: On-site, Secondary: Online) |
Comparison of Spanning Trees by Applying Plumtree to a Disaster Notification Wireless Mesh Network to Shortest Path Trees Tomoki Okuda (Kogakuin Univ), Masaaki Ohnishi (NOHMI BOSAI), Ryohei Banno (Kogakuin Univ)  SITE2023-69 IA2023-75 |
In the event of a national disaster such as a huge Nanlai Trough earthquake, large-scale communication failures are expe... [more] | SITE2023-69 IA2023-75 pp.7-11 |
| RISING (3rd) |
2022-10-31 10:30 |
Kyoto | Kyoto Terrsa (Day 1), and Online (Day 2, 3) | [Poster Presentation]
Delay Analysis Model of Service Chain Configuration for Fat-Tree Topology Tomonori Yokono (Univ. Fukui), Yuhei Hayashi (NTT), Shohei Kamamura (Seikei Univ.), Takuji Tachibana (Univ. Fukui) |
When a service chain is constructed in a data center network, the total transmission delay is expected to be reduced by ... [more] | |
| DE, IPSJ-DBS, IPSJ-IFAT | 2021-09-16 14:45 |
Online | Online | Approximate query processing using synopses embedded b+trees and preliminary experiments Hiroki Yuasa, Kazuo Goda, Masaru Kitsuregawa (UT) DE2021-13 |
In this paper, we propose a new data structure made by incorporating synopses into b+trees, and make use of the incorpor... [more] | DE2021-13 pp.7-12 |
| HWS, VLD [detail] | 2021-03-04 13:25 |
Online | Online | A Low-Latency Memory Encryption Scheme with Tweakable Block Cipher and Its Hardware Design Maya Oda, Rei Ueno, Naofumi Homma (Tohoku Univ.), Akiko Inoue, Kazuhiko Minematsu (NEC) VLD2020-83 HWS2020-58 |
In this paper, we propose a highly efficient memory protection method based on the Tweakable block cipher (TBC). The lat... [more] | VLD2020-83 HWS2020-58 pp.85-90 |
| SS | 2021-03-04 15:50 |
Online | Online | Untangling Composite Changes Using Tree-based Convolution Neural Network Cong Li, Takashi Kobayashi (Tokyo Tech) SS2020-46 |
Developers often bundle unrelated changes in a single commit, thus creating a so-called composite commit. Composite comm... [more] | SS2020-46 pp.108-113 |
| AP | 2020-03-27 09:40 |
Fukui | Fukui College (Cancelled but technical report was issued) |
Propagation Characteristics Analysis of 20GHz Band in Multiple LOS Urban Street Cell Environment Koyo Tategami, Mitoshi Fujimoto (Univ. Fukui), Koshiro Kitao, Satoshi Suyama (NTT DOCOMO) AP2019-204 |
For 5th generation mobile communication system (5G), utilization of band of 6 to 100 GHz is investigated to increase the... [more] | AP2019-204 pp.41-46 |
| PRMU, IPSJ-CVIM | 2020-03-17 10:45 |
Kyoto | (Cancelled but technical report was issued) |
Semi-Supervised Temporal Segmentation of Industrial Operation Video based on Deep Metric Learning Daiki Kawamori, Kazuaki Nakamura, Naoko Nitta, Noboru Babaguchi (Osaka Univ.) PRMU2019-92 |
Today, cameras are often installed in many production sites for various purposes. However, untrimmed raw videos captur... [more] |
PRMU2019-92 pp.139-144 |
| AI | 2020-02-14 14:20 |
Shimane | Izumo Campus, Shimane University | Utilizing Job Stress Questionnaire data by Data Analysis Method Keiya Okada, Keisuke Onishi, Masahiro Akimoto (KKE.Inc) AI2019-46 |
We made it clear that utilizing Job Stress Questionnaire data by Data Analysis Method is effective to grasp the structur... [more] | AI2019-46 pp.17-22 |
| NC, MBE | 2019-12-06 16:30 |
Aichi | Toyohashi Tech | Explaining Neural Networks by using a multiple tree Shunya Sasaki, Masafumi Hagiwara (Keio Univ) MBE2019-58 NC2019-49 |
The existing Neural Networks (NNs) have a problem that it is difficult to explain the reasoning process and the grounds ... [more] | MBE2019-58 NC2019-49 pp.79-84 |
| US | 2019-02-22 16:50 |
Kanagawa | Three dimensional extension of blood vessel network by combining multiple ultrasound volumes from different directions Ikumu Yasuda, Takuya Katai, Kosuke Watanabe, Kansai Okadome (Tokyo Univ. A&T), Yoshihiro Edamoto (Higashi-Saitama Hospital), Kohji Masuda (Tokyo Univ. A&T) US2018-119 |
In this study, we aim to reconstruct a wide range of blood vessel network by extending the ultrasound volume taken from ... [more] | US2018-119 pp.57-60 |
|
| RCS, AP (Joint) |
2018-11-21 09:30 |
Okinawa | Okinawa Industry Support Center | Design and development of medium gain cross multibeam antenna suitable for future mobile communication system Miyuki Omi, Koichi Tsunekawa (Chubu Univ.) AP2018-114 |
We proposed a medium gain cross beam antenna (CBA) as a small base station antenna applied to the future mobile communic... [more] | AP2018-114 pp.71-75 |
| CAS, SIP, MSS, VLD | 2018-06-15 10:25 |
Hokkaido | Hokkaido Univ. (Frontier Research in Applied Sciences Build.) | Edge Taxation Method of Selfish Routing Games Based on Network Structure Yoshiiki Matsui, Takafumi Kanazawa (Osaka Univ.) CAS2018-22 VLD2018-25 SIP2018-42 MSS2018-22 |
A selfish routing is a model of selfish players in networks. Each player tries to select a path that minimizes his trave... [more] | CAS2018-22 VLD2018-25 SIP2018-42 MSS2018-22 pp.115-118 |
| IBISML | 2018-03-05 13:50 |
Fukuoka | Nishijin Plaza, Kyushu University | Metric Learning for k-Nearest Neighbor Estimation using Multiple Distance Metrics Yokuto Seki, Noboru Murata (Waseda Univ.) IBISML2017-92 |
The relationship between unstructured datasets such as graphs can be measured by multiple distance metrics. In this pap... [more] |
IBISML2017-92 pp.15-19 |
| ET | 2018-03-03 12:30 |
Kochi | Kochi University of Technology (Eikokuji Campus) | Organization and Discovery Support System of Preferable Characteristics of Artifacts for Improving Kansei of Photographs Masanobu Uesaka, Tomoko Kojiri (Kansai Univ.) ET2017-122 |
To create good artifacts, it is necessary to improve Kansei. Our research group had defined Kansei as common characteris... [more] | ET2017-122 pp.193-198 |
| CAS, MSS, IPSJ-AL [detail] | 2017-11-16 15:40 |
Tokyo | The stable transmission tree and minimum cost transmission tree on wireless sensor network with mobile sink along the boundary Yoshihiro Kaneko, Tsubasa Yamada, Takuya Tsujimoto (Gifu Univ.) CAS2017-47 MSS2017-31 |
In wireless sensor network WSN, data are collected and transmitted toward one node called a sink, if necessary, in a mul... [more] | CAS2017-47 MSS2017-31 pp.45-50 |
|
| CAS, MSS, IPSJ-AL [detail] | 2017-11-17 13:50 |
Tokyo | Dynamic Compact Routing Tolerating Node Faults Yuki Takahashi, Toshinori Yamada (Saitama Univ.) CAS2017-56 MSS2017-40 |
Recently, a wireless ad hoc network(WANET) have drawn much attention, which consists only of wireless mobile devices wit... [more] | CAS2017-56 MSS2017-40 pp.111-116 |
|
| SS, DC | 2017-10-19 14:15 |
Kochi | Kochi City Culture-plaza CUL-PORT | A Transformation Method of XQuery Expressions for Evaluation on Compressed XML Documents Jukiya Ogura, Yasunori Ishihara, Toru Fujiwara (Osaka Univ.) SS2017-23 DC2017-22 |
While XML documents can easily express data structure, there is a disadvantage that the document size becomes large. For... [more] | SS2017-23 DC2017-22 pp.13-18 |
| KBSE | 2017-09-19 12:35 |
Tokyo | Doshisha Univ. Tokyo Branch Office | A load balancing mechanism using shared state for tree processing in actor model Kouhei Sakurai (Kanazawa Univ.) KBSE2017-21 |
For machine learning and data mining, there are methods that deal with tree structure, and also their parallelization an... [more] | KBSE2017-21 pp.1-6 |
| ICM | 2017-07-07 15:25 |
Hokkaido | Data Delivery Method Using Street Address on Smart Meter Networks Yuta Uchida, Takumi Miyoshi (Shibaura Inst. of Tech.), Kiyoshi Ueda (Nihon Univ.) ICM2017-19 |
A smart grid has recently attracted attention as a next-generation electrical power grid. To realize the optimization of... [more] | ICM2017-19 pp.81-84 |
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| COMP, IPSJ-AL | 2017-05-12 14:00 |
Nagasaki | An RBT Decision Tree Construction for Sparse Rules Takashi Harada, Ken Tanaka (Kanagawa Univ.), Kenji Mikawa (Niigata Univ.) COMP2017-2 |
Packet classification problem is to determine the highest priority rule that matches with an incoming packet in a networ... [more] | COMP2017-2 pp.9-15 |
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