Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SANE |
2022-08-18 16:20 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
Parallelization of compressive sensing SAR imaging on server and embedded GPU systems Masato Gocho (Mitsubishi Electric), Kazunori Ueda (Waseda Univ.) SANE2022-40 |
CS-SAR (compressive sensing synthetic aperture radar) imaging, in which truncated signals are observed and reconstructed... [more] |
SANE2022-40 pp.38-43 |
MI |
2021-03-15 15:00 |
Online |
Online |
A study on combination of parallel imaging and compressed sensing for improving the acceleration rate of MRI using Bloch simulator Akihide Kanetaka, Yuta Endo, Haruna Shibou, Kuninori Kobayashi, Shigehide Kuhara (Kyorin Univ.) MI2020-58 |
Parallel imaging (PI) and compressed sensing (CS) were developed as high-speed MRI technologies, and further studies to ... [more] |
MI2020-58 pp.51-55 |
CQ, MVE, IE, IMQ (Joint) [detail] |
2018-03-08 14:10 |
Okinawa |
Okinawa Industry Support Center |
Efficient orthogonalization method for eigenvectors of the Laplacian matrix for estimation of social network structure Naoki Hirakura (Tokyo Metropolitan Univ.), Chisa Takano (Hiroshima City Univ.), Masaki Aida (Tokyo Metropolitan Univ.) CQ2017-111 |
The network resonance method enable us to observe partial information of eigenvalues and eigenvectors that describe the ... [more] |
CQ2017-111 pp.45-50 |
CCS |
2016-08-10 12:30 |
Hokkaido |
Yoichi Chuo kominkan |
[Invited Lecture]
Topology-based Approach for Network Sensing and its Applications Kazuki Nakada (Hiroshima City Univ.), Keiji Miura (Kwansei Gakuin Univ.) CCS2016-25 |
In this presentation, we review a topology-based approach for network sensing and its applications. We here explain rece... [more] |
CCS2016-25 pp.47-52 |
IBISML |
2014-11-17 17:00 |
Aichi |
Nagoya Univ. |
[Poster Presentation]
Application of partial parallel interference cancellation to sparse signal recovery Koujin Takeda (Ibaraki Univ.), Toshiyuki Tanaka (Kyoto Univ.) IBISML2014-35 |
We apply partial parallel interference cancellation scheme in CDMA demodulation to sparse signal recovery in compressed ... [more] |
IBISML2014-35 pp.1-7 |
SANE |
2014-06-20 16:40 |
Ibaraki |
Tsukuba Space Center, JAXA |
High-performance Processing of Sensing Data via NICT Science Cloud Ken T. Murata (NICT) SANE2014-40 |
In many scientific fields, most data are digitized and handled on computers and networks. The data files are getting lar... [more] |
SANE2014-40 pp.97-101 |
RCS, NS (Joint) |
2013-12-19 10:00 |
Kagawa |
Sunport Hall Takamatsu |
Performance Analysis of Spectrum Sensing Schemes for Cognitive Radio Networks: Concentrated Sensing and Parallel Sensing Haruki Katayama, Hiroyuki Masuyama (Kyoto Univ.), Shoji Kasahara (NAIST), Yutaka Takahashi (Kyoto Univ.) NS2013-137 |
In cognitive radio networks, secondary users detect available spectrum channels by spectrum sensing. Cooperative sensing... [more] |
NS2013-137 pp.19-24 |
CQ, ICM, NS (Joint) |
2012-11-15 14:10 |
Shiga |
Nagahama Inst. of Bio-Science and Tech. |
Cooperative QoS Control based on Receive Buffer Sizes and Parallel Connections between Multiple TCP Sessions on Information Gathering Server Yasutaka Sakajiri, Yosuke Tanigawa, Hideki Tode (Osaka Prefecture Univ.) NS2012-105 |
In the IP network constituting the current Internet, communication quality (Quality of Service: QoS) of individual users... [more] |
NS2012-105 pp.13-18 |
MSS |
2006-01-27 14:10 |
Kanagawa |
Toshiba Kagaku-Kan |
Distributed Simulation Time Synchronization Method for Moving Objects Atsuo Ozaki, Shusuke Watanabe, Minoru Miyazawa, Masakazu Furuichi, Hiroyuki Sato (Mitsubishi Electric Corp.) |
We have proposed the distributed simulation time synchronization method for moving objects. This method can be enhanced ... [more] |
CST2005-49 pp.57-62 |