Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
CCS |
2024-03-27 14:50 |
Hokkaido |
RUSUTSU RESORT |
Dependence on Complexity of Nonlinear Functions for Augmented DFA Method in Deep Learning Based on Optoelectronic Delay System Yuto Nagatsuka, Rin Nogami (Saitama Univ.), Tomoaki Niiyama, Satoshi Sunada (Kanazawa Univ.), Atsushi Uchida, Kazutaka Kanno (Saitama Univ.) CCS2023-46 |
Increasing energy costs in deep learning have led to proposals for fast and efficient optical deep learning hardware. Th... [more] |
CCS2023-46 pp.42-47 |
ICM |
2024-03-21 09:20 |
Okinawa |
Okinawa Prefectural Museum and Art Museum (Primary: On-site, Secondary: Online) |
Intuitive Interaction System Based on Leg Movement Recognition Using Chair-embedded Camera Kaito Hamagaki, Shingo Ata, Manato Fujimoto (Osaka Metropolitan Univ.) ICM2023-45 |
Virtual Reality (VR) technology has rapidly evolved, expanding into education, healthcare, and entertainment, offering u... [more] |
ICM2023-45 pp.1-6 |
EMCJ, MICT (Joint) |
2024-03-15 10:55 |
Shimane |
|
Analysis of BPSD onset time to improve BPSD prediction performance with environmental and vital sensor data Tatsunoshin Shinmi (The Univ. of Electro-Communications), Naoya Tokiwa (RAKUS Partners), Junichi Shibata, Toshikazu Suzuki (iD), Takehiko Kashiwagi (The Univ. of Electro-Communications), Tatsuya Moe (RAKUS Partners), Kaito Kamura, Hyuta Onuma, Shunichi Tano, Yasuhiro Minami (The Univ. of Electro-Communications) MICT2023-79 |
Behavioral and psychological symptoms of dementia (BPSD) that develop in patients with dementia not only impose a heavy ... [more] |
MICT2023-79 pp.12-16 |
CAS, CS |
2024-03-14 16:20 |
Okinawa |
|
An Approximate Solution Using K-Shortest Path and Reinforcement Learning for a Load Balancing Problem in Communication Networks Himeno Takahashi, Norihiko Shinomiya (Soka Univ.) CAS2023-123 CS2023-116 |
In recent years, the amount of data traffic in information and communication networks has been increasing and the risk o... [more] |
CAS2023-123 CS2023-116 pp.70-73 |
SIS |
2024-03-15 12:20 |
Kanagawa |
Kanagawa Institute of Technology (Primary: On-site, Secondary: Online) |
Extension of decision transformer model for controlling future reward and motion control Taisei Inada, Shigeru Kubota (Yamagata Univ.) SIS2023-58 |
In the field of control, reinforcement learning is sometimes required to dynamically adjust the speed of automatic drivi... [more] |
SIS2023-58 pp.73-76 |
RCC, ISEC, IT, WBS |
2024-03-13 - 2024-03-14 |
Osaka |
Osaka Univ. (Suita Campus) |
An improvement method and security evaluation for the method of protecting ownership using digital watermark Dung Ta Anh, Hidema Tanaka (NDA) IT2023-76 ISEC2023-75 WBS2023-64 RCC2023-58 |
Since developing high-performance AI models requires significant time and cost, it is common to customize publicly avail... [more] |
IT2023-76 ISEC2023-75 WBS2023-64 RCC2023-58 pp.5-11 |
NLP, MSS |
2024-03-13 13:55 |
Misc. |
Kikai-Shinko-Kaikan Bldg. |
Improvement of TimesNet's Inception Module in Time Series Prediction Sayaka Tanaka, Masato Shirai (Shimane Univ.) MSS2023-77 NLP2023-129 |
In recent years, time series forecasting has been actively researched. Time series prediction uses the continuity and pe... [more] |
MSS2023-77 NLP2023-129 pp.35-37 |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-14 15:40 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
A study on figure skater's motion analysis for AI based jump classification Tomoya Tsubai, Nobutaka Kuroki, Masahiro Numa (Kobe Univ.) IMQ2023-53 IE2023-108 MVE2023-82 |
This paper proposes a method for recording time-series data from MediaPipe Pose and a method for configuring a neural ne... [more] |
IMQ2023-53 IE2023-108 MVE2023-82 pp.220-223 |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-15 10:30 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
A Point Cloud Downsampling Method Considering Local Features for 3D Object Classification Ryota Sugimoto, Kenji Kanai, Shiori Maki, Jiro Katto (Waseda Univ.) IMQ2023-70 IE2023-125 MVE2023-99 |
In recent years, use of point cloud data has been considered for 3D spatial recognition. To reduce processing load cause... [more] |
IMQ2023-70 IE2023-125 MVE2023-99 pp.313-318 |
IA, SITE, IPSJ-IOT [detail] |
2024-03-12 16:00 |
Okinawa |
Miyakojima City Future Creation Center (Primary: On-site, Secondary: Online) |
Improvement of Unknown Malicious Domain Detection Based on DNS Query History Analysis Hiroto Yamada, Daiki Nobayashi, Takeshi Ikenaga (kyutech) SITE2023-83 IA2023-89 |
Network users are increasing and there is concern about the malware infection.
In some cases, malware-infected terminal... [more] |
SITE2023-83 IA2023-89 pp.92-97 |
MI |
2024-03-03 10:17 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Electric field regression from head MR image by transformers for TMS Toyohiro Maki, Tatsuya Yokota, Akimasa Hirata, Hidekata Hontani (NIT) MI2023-36 |
Transcranial Magnetic Stimulation (TMS) is a non-invasive stimulation method by electric field induced by a coil placed ... [more] |
MI2023-36 pp.21-24 |
MI |
2024-03-03 11:28 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Recognition of Tooth Types in Dental Panoramic Radiographs Containing Deciduous Teeth Using CNN-based Object Detection Koki Sakai (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Yuta Seino (Osaka Univ.), Ryo Takahashi, Tatsuro Hayashi (EyeTech), Wataru Nishiyama (Asahi Univ.), Xiangrong Zhou, Takeshi Hara (Gifu Univ.), Akitoshi Katsumata (Asahi Univ.), Hiroshi Fujita (Gifu Univ.) MI2023-41 |
Panoramic radiographs are widely used in dentistry. However, checking each tooth and recording it in the patient's denta... [more] |
MI2023-41 pp.34-35 |
AI |
2024-03-01 15:00 |
Aichi |
Room0221, Bldg.2-C, Nagoya Institute of Technology |
Performance Improvement in Mobile Edge Computing Using Multi-Agent Deep Reinforcement Learning Kohei Suzuki, Toshiharu Sugawara (Waseda Univ.) AI2023-42 |
In this paper, we propose a method for mobile edge computing using unmanned aerial vehicles (UAVs) to improve both the n... [more] |
AI2023-42 pp.31-36 |
R |
2024-02-29 17:10 |
Shimane |
|
Comparison of OSS Reliability Assessment Methods Based on Deep Learning Considering the Wiener and Jump Diffusion Processes Yoshinobu Tamura, Shoichiro Miyamoto, Lei Zhou (Yamaguchi Univ.), Shigeru Yamada (Tottori Univ.) R2023-63 |
In many research fields, the methods based on deep learning have been proposed. In this paper, we propose the method of ... [more] |
R2023-63 pp.46-51 |
SIP, SP, EA, IPSJ-SLP [detail] |
2024-02-29 16:20 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Comparison of DNN architectures for determined BSS by proximal average of IVA and DNN Kazuki Matsumoto (Waseda Univ.), Koki Yamada, Kohei Yatabe (TUAT) EA2023-88 SIP2023-135 SP2023-70 |
We have proposed a framework called PA-BSS for high-performance separation matrix estimation using deep denoisers based ... [more] |
EA2023-88 SIP2023-135 SP2023-70 pp.162-167 |
SIP, SP, EA, IPSJ-SLP [detail] |
2024-03-01 15:25 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Acoustic morphing based on autoencoder for piano scale and reverberation Yuma Hakoda, Takao Tsuchiya (Doshisha Univ.) EA2023-121 SIP2023-168 SP2023-103 |
In game audio, it is common for sound designers to manually express game sounds that change dynamic in game scenes. They... [more] |
EA2023-121 SIP2023-168 SP2023-103 pp.346-351 |
SeMI, IPSJ-UBI, IPSJ-MBL |
2024-02-29 15:50 |
Fukuoka |
|
Development and Evaluation of the Water Flow Prediction Model for Remote Control of Sluice Gates in the Onga River Takahiro Ueno (Fukuoka Univ.), Koki Ozono (AJP), Masayoshi Ohashi (Fukuoka Univ.) SeMI2023-77 |
Our laboratory is engaged in the research and development of a system for the remote control and monitoring of sluice ga... [more] |
SeMI2023-77 pp.37-41 |
NS, IN (Joint) |
2024-02-29 10:10 |
Okinawa |
Okinawa Convention Center |
Model Shifting Method in Federated Learning Using Distillation Hiromichi Yajima (SIT), Shota Ono (The Univ. of Tokyo), Takumi Miyoshi, Taku Yamazaki (SIT) NS2023-186 |
Due to the drastic increase in the data for machine learning, distributed machine learning such as federated learning ha... [more] |
NS2023-186 pp.86-89 |
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 |
NS, IN (Joint) |
2024-03-01 14:15 |
Okinawa |
Okinawa Convention Center |
Ransomware Detection using Traffic Features in SDN Ken Tanase, Kunio Akashi, Yuji Sekiya, Hiroshi Nakamura (Tokyo Univ.) NS2023-237 |
In recent years, ransomware has emerged as a significant threat to information security in organizations.
A particular... [more] |
NS2023-237 pp.385-390 |