| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ICSS, IPSJ-SPT | 2024-03-21 16:10 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
Considerations on Differential Privacy Mechanisms in MNIST Naoki Kawahara, Pengxuan Wei, Ryunosuke Higashi, Kenta Okada, Tatsuhiro Yamatsuki, Atsuko Miyaji (Osaka Univ.)  ICSS2023-79 |
In recent years, data utilization technologies, including machine learning, have been steadily advancing. One means of p... [more] | ICSS2023-79 pp.71-78 |
| NS, IN (Joint) |
2024-02-29 11:35 |
Okinawa | Okinawa Convention Center | Real-time Application Identification Scheme and Evaluation Method Using Machine Learning Tatsuhiro Ou, Kenji Kanai, Akihiro Nakao (Tokyo Univ.) NS2023-189 |
With the diversification of mobile applications, the implementation of priority control that meets the communication req... [more] | NS2023-189 pp.103-108 |
| RECONF, VLD | 2024-01-30 14:50 |
Kanagawa | AIRBIC Meeting Room 1-4 (Primary: On-site, Secondary: Online) |
FPGA-Accelerated Random Forest for Real-Time IoT Intrusion Detection Qingyu Zeng, Yuko Hara (Tokyo Tech) VLD2023-97 RECONF2023-100 |
The rapid proliferation of the Internet of Things (IoT) has heightened cyber security concerns, necessitating efficient ... [more] | VLD2023-97 RECONF2023-100 pp.99-104 |
| MI, MICT | 2023-11-14 10:50 |
Fukuoka | A Study on How to Classify Paralytic Strabismus Based on Ocular Motility Photographs Takeshi Noda, Koh Kakusho, Takeshi Okadome (Kwansei Gakuin Univ.), Yoichi Okita, Akiko Kimura, Fumi Gomi (Hyogo Medical Univ.) MICT2023-27 MI2023-20 |
In this paper, we discuss how to obtain the types of paralytic strabismus from ocular motility photographs of the patien... [more] | MICT2023-27 MI2023-20 pp.9-12 |
|
| RISING (3rd) |
2023-10-31 10:45 |
Hokkaido | Kaderu 2・7 (Sapporo) | [Poster Presentation]
Real-time Application Identification Scheme and Evaluation Method Using Machine Learning Tatsuhiro Ou, Kenji Kanai, Akihiro Nakao (Tokyo Univ.) |
With the diversification of mobile applications, the implementation of priority control that meets the communication requ... [more] | |
| SANE | 2023-05-23 11:40 |
Kanagawa | Information Technology R & D Center, MITSUBISHI Electric Corp. (Primary: On-site, Secondary: Online) |
NDVI prediction with SAR data using time series features Raiki Kudo (UTokyo), Seiseke Fukuda (JAXA) SANE2023-7 |
The Normalized Difference Vegetation Index (NDVI) is used to determine the growth of crops, the condition of cultivated ... [more] | SANE2023-7 pp.36-41 |
| IN, NS (Joint) |
2023-03-03 11:40 |
Okinawa | Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
Real-time application identification method for mobile networks using machine learning Tatsuhiro Ou, Akihiro Nakao (Tokyo Univ.) NS2022-232 |
With the diversification of mobile applications, the implementation of priority control that meets the communication requ... [more] | NS2022-232 pp.372-377 |
| SRW, SeMI, CNR (Joint) |
2022-11-24 12:30 |
Tochigi | Epinard Nasu (Primary: On-site, Secondary: Online) |
A Comprehensive System for Social Robot Detection Using RoBERTa Classifier and Random Forest Regressor with Similarity Analysis Yeyang Chen, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.) SeMI2022-51 |
As one of the most popular social media platforms, Twitter has skyrocketed over the past few years. At the same time, th... [more] | SeMI2022-51 pp.12-17 |
| RISING (3rd) |
2022-10-31 14:00 |
Kyoto | Kyoto Terrsa (Day 1), and Online (Day 2, 3) | [Poster Presentation]
Proposal of Traffic Collection and System Operation Schemes for Real-time Application Identification Tatsuhiro Ou, Norihiro Fukumoto, Akihiro Nakao (Tokyo Univ.) |
With the diversification of mobile applications, the need to identify the application names of traffic is increasing for ... [more] | |
| IBISML | 2022-09-15 14:00 |
Kanagawa | Keio Univ. (Yagami Campus) (Primary: On-site, Secondary: Online) |
Interpretable Model Combining statements and DNN Ryo Okuda, Yuya Yoshikawa (STAIR) IBISML2022-36 |
In this study, we propose a method that achieves both interpretability of Decision Tree and the prediction accuracy of D... [more] | IBISML2022-36 pp.25-30 |
| IT | 2022-07-22 10:50 |
Okayama | Okayama University of Science (Primary: On-site, Secondary: Online) |
A study on deep learning-based cyber attack detection Ruei-Fong Hong, Qiangfu Zhao (UoA), Shih-Cheng Horng (CYUT) IT2022-22 |
Cyberattack is a broad term for cybercrime that includes any deliberate attack on a computer device, network or infrastr... [more] | IT2022-22 pp.36-41 |
| LOIS | 2022-03-03 17:05 |
Online | Online | A Study of Features for Estimating Attitude of Participation in Discussion from Audio and Video Tsubasa Kanaoka, Sunao Hara, Masanobu Abe (Okayama Univ.) LOIS2021-49 |
The purpose of this report is to detect students who have poor engagement in class discussions. In this paper, we recor... [more] |
LOIS2021-49 pp.57-62 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 14:05 |
Online | Online | Verification of gender identifiability and its sensitivity from heart rate data in Allstar heart rate variability big data analysis Itaru Kaneko, Emi Yuda (Tohoku Univ.) NLP2021-85 MICT2021-60 MBE2021-46 |
We have verified the analysis of Allstar heart rate big data (big data of heart rate that we are analyzing). This time, ... [more] | NLP2021-85 MICT2021-60 MBE2021-46 pp.50-53 |
| HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online | Online | Estimation and Classification of Short Video Viewers' Emotions by Random Forest Using Bio-signals Ryuichi Inoue, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.) |
The authors have been conducting a research of video viewers’ emotion estimation by machine learning using bio-signals t... [more] | |
| R | 2021-07-17 14:25 |
Online | Virtual | Refined Ensemble Learning Algorithms for Software Bug Prediction
-- Metaheuristic Approach -- Keisuke Fukuda, Tadashi Dohi, Hiroyuki Okamura (Hiroshima Univ.) R2021-19 |
In this paper, we propose to apply three metaheuristic algorithms; latin hypercube sampling, ABC (artificial bee colon... [more] |
R2021-19 pp.18-23 |
| LOIS, IPSJ-SPT, IPSJ-CN | 2021-05-10 15:05 |
Online | Online | Branch Analysis of the Random Forest for Recognition of Car Motion Sickness from Eyesight Features Shohta Okuyama, Jun Toyotani, Yuto Omae (NU) LOIS2021-5 |
Some people who get motion sickness only when they are riding without driving. One of the causes of motion sickness in t... [more] | LOIS2021-5 pp.25-30 |
| NC, MBE (Joint) |
2021-03-04 15:50 |
Online | Online | A prediction of disease levels using ocular information during Dementia tests Wioletta Nowak (Wroclaw Univ. of S&T), Minoru Nakayama (Tokyo Tech), Elzbieta Trypka (Wroclaw Medical Univ.), Anna Zarowska (Wroclaw Univ. of S&T) MBE2020-50 |
Ocular information was observed during a dementia test for three subject’s groups: Alzheimer’s Disease (AD) patients, mi... [more] | MBE2020-50 pp.48-51 |
| ICSS, IPSJ-SPT | 2021-03-02 11:05 |
Online | Online | Accuracy evaluation of CNNs and random forests with Malware API call sequences Shugo Asai, Futa Yuichi (TUT) ICSS2020-58 |
In this paper, we compare the accuracy of the results of classifying each malware family by Random Forest and CNN using ... [more] | ICSS2020-58 pp.190-194 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2021-02-19 16:50 |
Online | Online | [Special Talk]
Improving Efficiency of Hammering Inspection of Subway Tunnels based on Analyzing Inspection Data Motoki Oyama, Yuki Wakuda, Maiku Abe (Hokkaido Univ.), Yukihiro Ishikawa, Yuki Enokidani, Daisuke Tanaka, Hideaki Yamaguchi (Tokyo Metro) |
In this study, we aimed at optimizing the operation of the upper floor hammering sound inspection of the subway tunnel, ... [more] | |
| MICT, MI | 2020-11-04 15:00 |
Online | Online | Frequency Analysis of Bio-vibration Data based on Difference of Results Learned by Random Forests between SAS/non-SAS Subjects Iko Nakari, Keiki Takadama (UEC) MICT2020-17 MI2020-43 |
This paper described a frequency analysis of bio-vibration data obtained from mat sensor with sleep apnea syndrome (SAS... [more] | MICT2020-17 MI2020-43 pp.48-53 |
[Return to Top Page]