Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
AI |
2022-12-21 15:10 |
Fukuoka |
|
Grasping Trends in Major Choice and Specialization Through Clustering of Students Based on Completed Courses Daisuke Suzuki (Hokuriku Univ.) AI2022-42 |
This study aims to grasp trends of students' selection of specialized fields through clustering and visualization of stu... [more] |
AI2022-42 pp.50-55 |
LOIS, IPSJ-SPT, IPSJ-CN |
2022-05-27 14:30 |
Online |
Online |
Analysis of interactions between lecturer and students in lectures (Sixth report) Eiji Watanabe (Konan Univ.), Takashi Ozeki (Fukuyama Univ.), Takeshi Kohama (Kindai Univ.) LOIS2022-1 |
In lectures using blackboard, we can observe the behaviors (listening to the explanation and taking notes) of students c... [more] |
LOIS2022-1 pp.1-6 |
HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online |
Online |
Attractiveness of Smile Transformation Expression of 3D Face Model
-- Perspective Dependence and Gender Differences -- Shu Maseda, Shigeru Akamatsu (Hosei Univ.) |
Statistical analysis of viewpoint dependence and gender differences in the attractiveness of smiles was conducted. [more] |
|
AP |
2021-08-20 10:25 |
Online |
Online |
Low Complexity Channel Analysis using Discrete Fourier Basis for Wireless LAN Sensing Yuhei Nagao (Radrix), Kosuke Tsuji, Ryotaro Isshiki, Leonardo Lanante (Kyutech), Hiroshi Ochi (Radrix) AP2021-49 |
Channel State Information (CSI) sensing over wireless LAN is gathering attention, because it enables economically and ea... [more] |
AP2021-49 pp.7-12 |
CQ |
2021-08-04 16:20 |
Online |
Online |
Comparison of Reliable Transmission Schemes using Retransmission and AL-FEC on Audiovisual Groupcast over Wireless LANs Minoru Ishida, Toshiro Nunome (Nagoya Inst. of Tech) CQ2021-36 |
In this report, we compare QoS and QoE of reliable transmission methods using retransmission and that using AL-FEC on au... [more] |
CQ2021-36 pp.75-80 |
CQ, CBE (Joint) |
2021-01-22 16:20 |
Online |
Online |
Large-Size Data Transmission by means of IEEE802.11aa GCR Block Ack with TXOP-Bursting and AIFS Control Akira Nagahara, Toshiro Nunome (Nagoya Inst.) CQ2020-105 |
In this report, we utilize TXOP-Bursting for computer data transmission by IEEE802.11aa GCR Block Ack.
We evaluate QoS ... [more] |
CQ2020-105 pp.177-182 |
HCGSYMPO (2nd) |
2020-12-15 - 2020-12-17 |
Online |
Online |
A Consideration on Detecting Anormal Respondents in Large Questionnaire Response Data Hiroyuki Takahashi, Wataru Kameyama, Mutsumi Suganuma (Waseda Univ.) |
In a questionnaire with a variety of questions for consumers to answer, there may be a small number of specific answers ... [more] |
|
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2020-06-29 13:50 |
Online |
Online |
Performance comparison of autoencoders and sparse PCAs Masumi Ishikawa (Kyutech) NC2020-4 IBISML2020-4 |
Principal component analysis (PCA) is an effective tool for clarifying data structure. Each principal component includes... [more] |
NC2020-4 IBISML2020-4 pp.21-26 |
PRMU, IPSJ-CVIM |
2020-03-17 09:45 |
Kyoto |
(Cancelled but technical report was issued) |
Deep neural network representation and learning of low-rank and sparse approximation
-- With application to celiac angiography under free breathing -- Ryohei Miyoshi, Tomoya Sakai (Nagasaki Univ.), Takashi Ohnishi, Hideaki Haneishi (Chiba Univ.) PRMU2019-91 |
Low-rank and sparse (L+S) approximation, a.k.a. stable and robust principal component analysis, is known to be suitable ... [more] |
PRMU2019-91 pp.133-138 |
RCS, SR, SRW (Joint) |
2020-03-05 13:55 |
Tokyo |
Tokyo Institute of Technology (Cancelled but technical report was issued) |
Performance of MIMO transmission using a spatial-temporal subspace-based compressive channel estimation technique Yasuhiro Takano (Kobe Univ.) RCS2019-367 |
Channel estimation accuracy in massive multiple-input multiple-output (MIMO) systems can suffer from deterioration since... [more] |
RCS2019-367 pp.239-244 |
IT, SIP, RCS |
2020-01-24 14:25 |
Hiroshima |
Hiroshima City Youth Center |
Research trends of compressive channel estimation techniques Yasuhiro Takano (Kobe Univ.) IT2019-80 SIP2019-93 RCS2019-310 |
Channel estimation accuracy in massive multiple-input multiple-output (MIMO) systems can suffer from deterioration since... [more] |
IT2019-80 SIP2019-93 RCS2019-310 pp.261-265 |
CQ, CBE (Joint) |
2020-01-17 13:00 |
Tokyo |
NHK Science & Technology Research Laboratories |
The Effect of Groupcast Schemes on Reliability of Large-Size Data Transmission over a Wireless LAN Akira Nagahara, Toshiro Nunome (Nagoya Inst. of Tech.) CQ2019-128 |
In this report, we assume simultaneous distribution of updates or educational materials to several terminals .We deal wi... [more] |
CQ2019-128 pp.119-124 |
CS |
2019-10-31 10:40 |
Kagoshima |
Kirishima-Hotel |
A Study on Detection of Breathing Using Tilt Angle Sensor and its Wireless Monitoring Tetsuo Tsujioka, Seima Todo (Osaka City Univ.) CS2019-64 |
Recently, human breath detection has much attention from many researchers for health science. In the previous works on t... [more] |
CS2019-64 pp.9-13 |
IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-15 09:50 |
Kagoshima |
Kagoshima University |
Word Categorization for Estimating Communication Quality by the Use of SNS Takaaki Kirikae (Waseda Univ.), Kyoko Yamori (Asahi Univ./Waseda Univ.), Yoshiaki Tanaka (Waseda Univ.) CQ2018-108 |
QoE which is the user experience of communication quality, depends on application, user circumstances, user's purpose, e... [more] |
CQ2018-108 pp.87-90 |
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] |
2019-02-20 09:45 |
Hokkaido |
Hokkaido Univ. |
Performance Verification of Stress Detection Using a High-performance Wristband with Multi-sensing Yoshiki Ito, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Stress increases the risk of physical and psychological illnesses. When individuals get stressed, it is important to red... [more] |
|
MBE |
2019-01-31 11:15 |
Saga |
Saga University |
Development of Visual Evoked Potential Recording System Including Real-Time Evaluation Algorithm Shun Yamaguchi (Saga Univ.), Kazuhiko Goto (Hakata Medical College), Takenao Sugi, Yoshitaka Matsuda, Satoru Goto (Saga Univ.), Takuro Ikeda (IUHW), Takao Yamasaki, Shozo Tobimatsu (Kyushu univ.), Yoshinobu Goto (IUHW) MBE2018-60 |
The purpose of this study is to construct the real-time evaluation system for visual evoked potential (VEP) recording. G... [more] |
MBE2018-60 pp.13-16 |
MI |
2019-01-22 09:35 |
Okinawa |
|
Acceleration of angiographic region enhancement based on robust principal component analysis using parallel processing Morio Kawabe, Yuri Kokura, Takashi Ohnishi, Hideyuki Kato, Yoshihiko Ooka (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.), Hideaki Haneishi (Chiba Univ.) MI2018-59 |
Robust principal component analysis (RPCA) can extract vessel information from consecutive digital angiographic images. ... [more] |
MI2018-59 pp.1-4 |
IEE-CMN, EMM, LOIS, IE, ITE-ME [detail] |
2018-09-27 15:15 |
Oita |
Beppu Int'l Convention Ctr. aka B-CON Plaza |
[Special Talk]
Coded Acquistion of Light Fields
-- From Basis Representation to Deep Learning -- Keita Takahashi (Nagoya Univ.) LOIS2018-15 IE2018-35 EMM2018-54 |
A light field, which is often understood as a set of dense multi-view images, has been utilized in various 2D/3D applica... [more] |
LOIS2018-15 IE2018-35 EMM2018-54 pp.29-30 |
IN, NS, CS, NV (Joint) |
2018-09-07 09:20 |
Miyagi |
Research Institute of Electrical Communication, Tohoku Univ. |
A Consideration of Evaluation Dataset for Malware Detection System Hisashi Takahara (UNP) IN2018-33 |
Today, while internet cyber-attacks are increasing, protection against the cyber-attacks have become indispensable. Amon... [more] |
IN2018-33 pp.65-69 |
SIP, CAS, MSS, VLD |
2017-06-20 11:00 |
Niigata |
Niigata University, Ikarashi Campus |
On Contributions of Principal Eigenfunctions of Covariance Operator of Kernel Feature Vectors to Relevant Information in Nonlinear Regression Masahiro Yukawa (Keio Univ.), Klaus-Robert Muller (TU BerlinTechnical U) CAS2017-16 VLD2017-19 SIP2017-40 MSS2017-16 |
We study, through simple non-asymptotic arguments, the contributions of eigenfunctions of the covariance operator of ker... [more] |
CAS2017-16 VLD2017-19 SIP2017-40 MSS2017-16 pp.81-85 |