| 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 # | |
| HIP, HCS, HI-SIGCOASTER [detail] | 2024-05-14 15:05 |
Okinawa | Okinawa Industry Support Center | Nonverbal information detection system to expand conversations between digital human agents Lidiwina Andarini, Yoko Ishii, Atsushi Fukayama (NTT) |
[more] | |
| ICSS, IPSJ-SPT | 2024-03-22 14:55 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
Adversarial Examples with Missing Perturbation Using Laser Irradiation Daisuke Kosuge, Hayato Watanabe, Taiga Manabe, Yoshihisa Takayama, Toshihiro Ohigashi (Tokai Univ.)  ICSS2023-97 |
In recent years, neural networks have made remarkable progress in the field of image processing and other areas, and the... [more] | ICSS2023-97 pp.201-207 |
| SIS | 2024-03-14 14:50 |
Kanagawa | Kanagawa Institute of Technology (Primary: On-site, Secondary: Online) |
Improvement of Detection Accuracy for Detection of Calcification Regions in Dental Panoramic Radiographs Using LVAT Naoki Ikeda, Sei Takano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Nanae Dewake, Nobuo Yoshinari (Matsumoto Dental Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital) SIS2023-50 |
Carotid arteries on dental panoramic radiographs may show areas of calcification, a sign of vascular disease. The sudden... [more] | SIS2023-50 pp.27-32 |
| CAS, CS | 2024-03-15 14:20 |
Okinawa | Recoloring aware Countermeasure against Adversarial Examples Chisei Ishida, Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) CAS2023-134 CS2023-127 |
Adversarial Examples(AEs) which cause artificial intelligence (AI) to make a false prediction by embedded slight perturb... [more] | CAS2023-134 CS2023-127 pp.128-133 |
|
| RCC, ISEC, IT, WBS | 2024-03-13 09:15 |
Osaka | Osaka Univ. (Suita Campus) | Performance Evaluation of Visible Light Communication System Using Imaginary Images based Image Classifier Masataka Naito, Tadahiro Wada, Kaiji Mukumoto (Shizuoka Univ.), Hiraku Okada (Nagoya Univ.) IT2023-78 ISEC2023-77 WBS2023-66 RCC2023-60 |
For visible light communication systems that utilizes machine learning-based image classifiers for information embedding... [more] | IT2023-78 ISEC2023-77 WBS2023-66 RCC2023-60 pp.20-25 |
| LOIS | 2024-03-13 15:00 |
Okinawa | Okinawa Pref Danjyo-Kyoudou-Sankaku Center (Primary: On-site, Secondary: Online) |
Research on personalization of English conversation education for elementary school students Takumi Harada, Kazushi matsuo, Mioko Matsuo, Norio Nakamura, Kenichi Arai, Toru Kobayashi (Nagasaki Univ) LOIS2023-53 |
With the start of English education for elementary school students in 2020 based on the new Courses of Study, the number... [more] | LOIS2023-53 pp.27-32 |
| LOIS | 2024-03-13 15:25 |
Okinawa | Okinawa Pref Danjyo-Kyoudou-Sankaku Center (Primary: On-site, Secondary: Online) |
Research on Individualized Adaptive Quiz Service to Support Self-Assessment of Cognitive Memory Abilities in the Elderly Yousuke Oshima, Takuya NaKaTa (Kobe Univ.), Sachio Saiki (Kochi Univ. of Tech.), Sinan Chen, Masahide Nakamura, Kiyoshi Yasuda (Kobe Univ.), Yuta Tsuyuzaki (Oyumino Central Hosp.) LOIS2023-54 |
Currently, in Japan, there is an increasing number of elderly individuals with dementia. Dementia poses challenges in fu... [more] | LOIS2023-54 pp.33-38 |
| RCC, ISEC, IT, WBS | 2024-03-14 10:20 |
Osaka | Osaka Univ. (Suita Campus) | Improving classification accuracy of imaged malware through data expansion Kaoru Yokobori, Hiroki Tanioka, Masahiko Sano, Kenji Matsuura, Tetsushi Ueta (Tokushima Univ.) IT2023-115 ISEC2023-114 WBS2023-103 RCC2023-97 |
Although malware-based attacks have existed for years, malware infections increased in 2019 and 2020. One of the reaso... [more] |
IT2023-115 ISEC2023-114 WBS2023-103 RCC2023-97 pp.259-264 |
| RCS, SR, SRW (Joint) |
2024-03-13 17:05 |
Tokyo | The University of Tokyo (Hongo Campus), and online (Primary: On-site, Secondary: Online) |
CRDSA/IRSA Based Adaptive Transmission Control Considering Available Channels Difference among Terminals in Satellite IoT Systems Kansuke Kumazawa, Hiraku Okada (Nagoya Univ.), Koyo Tategami, Daisuke Goto, Munehiro Matsui, Kiyohiko Itokawa, Fumihiro Yamashita (NTT), Masaaki Katayama (Nagoya Univ.) RCS2023-268 |
In a satellite IoT system using a 920-MHz band LPWA, each terminal's available channel differs, and the number of packet... [more] | RCS2023-268 pp.83-88 |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-15 13:30 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
[Short Paper]
A comparative study of VR, online and face-to-face communication Asami Matsuyama, Ichiro Hisanaga, Kazuo Isoda, Hideaki Kobayashi, Norio Takeshita, Ryuhei Tenmoku (DNP) IMQ2023-78 IE2023-133 MVE2023-107 |
The aim of this study is to show the characteristics of various communication environments. We compared conversation imp... [more] | IMQ2023-78 IE2023-133 MVE2023-107 pp.350-355 |
| IA, SITE, IPSJ-IOT [detail] | 2024-03-13 13:40 |
Okinawa | Miyakojima City Future Creation Center (Primary: On-site, Secondary: Online) |
A Steganalysis of Image Steganography using Real Image Denoising Shinnosuke Toguchi, Takamichi Miyata (CIT) SITE2023-100 IA2023-106 |
Image steganography is a technique for embedding secret messages in images. SteganoGAN, one of the previous methods, use... [more] | SITE2023-100 IA2023-106 pp.195-202 |
| NC, MBE (Joint) |
2024-03-12 13:30 |
Tokyo | The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Diffusion-Based Immediate Adversarial Purification Yuito Narisawa, Motonobu Hattori (Yamanashi Univ.) NC2023-56 |
Neural networks have achieved high performance in image classification, but there is a problem known as Adversarial Exam... [more] | NC2023-56 pp.75-80 |
| SS | 2024-03-09 11:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
Developing Conversational Agents Using GPT-4 for Application in Information Security Education Atsuya Tsuda, Kazutaka Matsuzaki (Chuo Univ.) SS2023-80 |
In this paper, we report on the development of an interactive agent using a large language model, aimed at being introdu... [more] | SS2023-80 pp.186-189 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-04 09:12 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Creating Adversarial Examples to Deceive Both Humans and Machine Learning Models Ko Fujimori (Waseda Univ.), Toshiki Shibahara (NTT), Daiki Chiba (NTT Security), Mitsuaki Akiyama (NTT), Masato Uchida (Waseda Univ.) PRMU2023-65 |
One of the vulnerability attacks against neural networks is the generation of Adversarial Examples (AE), which induce mi... [more] | PRMU2023-65 pp.82-87 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-04 09:36 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Disabling Adversarial Examples through Color Information Processing Ryo Soeda, Masato Uchida (Waseda Univ.) PRMU2023-67 |
Image classification using neural networks is expected to have a wide range of applications, including automated driving... [more] | PRMU2023-67 pp.94-99 |
| MI | 2024-03-04 09:00 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Distance-informed adversarial learning for metal artifact reduction Daisuke Shigemori, Megumi Nakao (Kyoto Univ.) MI2023-62 |
In this study, we propose an adversarial learning framework that utilises distance information from metal to reduce CT m... [more] | MI2023-62 pp.95-98 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-04 10:52 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Illust Protection against Generative AI using DnCNN Yukiya Fukuda, Daiju Kanaoka (Kyutech), Hakaru Tamukoh (Kyutech/Research Center for Neuromorphic AI Hardware) PRMU2023-71 |
Although generative AI such as stable diffusion are rapidly developing, but there are concerns about problems such as un... [more] | PRMU2023-71 pp.116-121 |
| EMM | 2024-03-02 14:00 |
Overseas | Day1:JEJU TECHNOPARK, Day2:JEJU Business Agency | [Poster Presentation]
Detection of Partial Deepfake Videos Based on Facial Feature Points Sasuke Kobayashi, Hyunho Kang (NITTC) EMM2023-91 |
(To be available after the conference date) [more] | EMM2023-91 pp.13-16 |
| HCS | 2024-03-02 12:05 |
Shizuoka | Tokoha University(Shizuoka-Kusanagi Campus) | Estimation of willingness to participate in other's conversation by using deep learning of facial expression measurements Kohei Yamamoto, Jiro Okuda (Kyoto Sangyo Univ.) HCS2023-92 |
In recent years, there has been much interest in developing agents that can join conversations among multiple people and... [more] | HCS2023-92 pp.25-30 |
| HCS | 2024-03-02 13:05 |
Shizuoka | Tokoha University(Shizuoka-Kusanagi Campus) | Use case analysis of an IoT system that provides communication between elderly living alone and their children Naoki Mukawa, Hiromi Okubo, Hiroto Saito, Takafumi Higashi (Tokyo Denki Univ.) HCS2023-94 |
In this study, we investigate a system that shares activity information of the other party using sensors and conversatio... [more] | HCS2023-94 pp.37-42 |
[Return to Top Page]