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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SeMI, IPSJ-UBI, IPSJ-MBL | 2024-02-29 15:10 |
Fukuoka | Evaluation Experiment of Display Camera Visible Light Communication Using Adversarial Examples on a Monocular Depth Estimation Model Changseok Lee, Hiraku Okada (Nagoya Univ.), Tadahiro Wada (Shizuoka Univ.), Chedlia Ben Naila, Masaaki Katayama (Nagoya Univ.)  SeMI2023-75 |
Hidden display-camera visible light communication is a method of embedding data in visual information such as images and... [more] | SeMI2023-75 pp.25-30 |
|
| NS, IN (Joint) |
2024-03-01 11:35 |
Okinawa | Okinawa Convention Center | Application of a Deep Reinforcement Learning Algorithm to Virtual Machine Migration Control in Multi-Stage Information Processing Systems Yuki Kojitani (Okayama Univ.), Kazutoshi Nakane (Nagoya Univ.), Yuya Tarutani (Okayama Univ.), Celimuge Wu (UEC), Yusheng Ji (NII), Tokumi Yokohira (Okayama Univ.), Tutomu Murase (Nagoya Univ.), Yukinobu Fukushima (Okayama Univ.) IN2023-87 |
This paper tackles a virtual machine (VM) migration control problem to maximize the progress (accuracy) of information p... [more] | IN2023-87 pp.130-135 |
| SR | 2024-01-25 13:10 |
Nagano | Nagano-ken JA building (Primary: On-site, Secondary: Online) |
[Short Paper]
Performance Evaluations on Deep Reinfocement Leanring based Analog Beamforming in Dynamic Senarios Daisuke Sasaki, Xiaoyan Wang, Zhou Hang (Ibaraki Univ.), Umehira Masahiro (Nanzan Univ.) SR2023-72 |
As the development of small cell architecture in B5G networks, on one hand, the frequency utilization efficiency could b... [more] | SR2023-72 pp.22-24 |
| SR | 2024-01-25 13:25 |
Nagano | Nagano-ken JA building (Primary: On-site, Secondary: Online) |
[Short Paper]
A Performance Evaluation on Deep Reinforcement Learning based Transmit Power Control for Uplink NOMA Kaito Sawada, Xiaoyan Wang, Zhou Hang (Ibaraki Univ.), Masahiro Umehira (Nanzan Univ.) SR2023-73 |
Non-Orthogonal Multiple Access (NOMA) technology has attracted much attention in order to improve frequency utilization ... [more] | SR2023-73 pp.25-27 |
| PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM | 2024-01-25 10:03 |
Kanagawa | Keio Univ. (Hiyoshi Campus) | Estimation of 3D Coordinates of Fingertips using Contrastive Embeddings from Hand Images Tatsuya Abe, Takeshi Umezawa, Noritaka Osawa (Chiba Univ.) PRMU2023-40 |
This study evaluated a method for estimating the 3D coordinates of fingertips from hand images when manipulating objects... [more] | PRMU2023-40 pp.7-12 |
| PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM | 2024-01-26 10:42 |
Kanagawa | Keio Univ. (Hiyoshi Campus) | Investigation of lightweight methods for object recognition models of YOLOv7-tiny using a combination of various kinds of convolution modules Yuedong Li, Akira Kubota (Chuo Univ.) PRMU2023-45 |
Deep learning-based object detection techniques on images have been actively studied. Recently, lightweight and fast-edg... [more] | PRMU2023-45 pp.32-37 |
| PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM | 2024-01-26 15:46 |
Kanagawa | Keio Univ. (Hiyoshi Campus) | PRMU2023-48 |
In the realm of autonomous driving, end-to-end models (E2EDMs) have gained prominence due to their high predictive accur... [more] | PRMU2023-48 pp.46-49 |
| PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM | 2024-01-26 15:58 |
Kanagawa | Keio Univ. (Hiyoshi Campus) | An attempt to determine stenosis from coronary stretch images using deep learning Tetsuya Asakawa, Hiroki Shinoda, Yuta Fukatsu (TUT), Takuya Togawa, Kazuki Shimizu (THC), Masaki Aono (TUT) PRMU2023-49 |
Coronary artery stenosis, one of the most common heart diseases, is diagnosed by a human, which is a time-consuming and ... [more] | PRMU2023-49 pp.50-55 |
| EST | 2024-01-26 13:50 |
Kyoto | Kyoto University ROHM Plaza (Primary: On-site, Secondary: Online) |
A Study on Three-dimensional Electromagnetic Field Simulation Using Physics-Informed Neural Network Method Kazuhiro Fujita (Saitama IT) EST2023-118 |
A neural network method based on physical laws in electromagnetics has been developed so far. However, its applicability... [more] | EST2023-118 pp.108-111 |
| ICTSSL, CAS | 2024-01-25 10:20 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Using Deep Learning to Recognize and Determine the State of Snow on LED Traffic Signals Regardless of the Outside Environment and Its Application Megumi Matsuzaka, Tsubasa Saito, Yuichi Sato (Akita Univ.) CAS2023-84 ICTSSL2023-37 |
Currently, the use of LEDs in traffic signals is being promoted for various advantages. However, due to the characterist... [more] | CAS2023-84 ICTSSL2023-37 pp.11-16 |
| NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-25 09:00 |
Tokushima | Naruto University of Education | The Relationship Between Metrics in the Latent Variable Space and Image Classification Performance Haruki Wakasa, Kenya Jin'no (Tokyo City Univ.) NLP2023-99 MICT2023-54 MBE2023-45 |
In recent years, models based on convolutional neural networks (CNNs) have exhibited high performance in image classific... [more] | NLP2023-99 MICT2023-54 MBE2023-45 pp.78-81 |
| ET | 2024-01-20 15:55 |
Kyoto | Kyoto University Yoshida Campus / Online (Primary: On-site, Secondary: Online) |
Difficulty-Controllable Question Generation of Reading Comprehension incorporating Answerability Evaluation Mechanism Ayaka Suzuki, Masaki Uto (UEC) ET2023-51 |
Question generation (QG) for reading comprehension is a technology for automatically generating questions related to giv... [more] | ET2023-51 pp.38-44 |
| EMCJ | 2024-01-19 11:10 |
Kumamoto | Estimation of the number of people transported by ambulance for different illness in Nagoya City Haruto Ueta, Kota Ogawa, Sachiko Kodera, Akimasa Hirata (Nitech) EMCJ2023-91 |
In Japan, there has been a rapid progression of aging, giving rise to various anticipated challenges. A high proportion ... [more] | EMCJ2023-91 pp.21-26 |
|
| SIP, IT, RCS | 2024-01-18 16:10 |
Miyagi | (Primary: On-site, Secondary: Online) |
A Study on Autoencoder for Iterative Signal Detection in MIMO Channels Yoshinori Ichihashi, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) IT2023-52 SIP2023-85 RCS2023-227 |
In this paper, we apply deep unfolding to uplink signal detection via probabilistic data association (PDA) and configure... [more] | IT2023-52 SIP2023-85 RCS2023-227 pp.115-120 |
| SS, MSS | 2024-01-17 14:30 |
Ishikawa | (Primary: On-site, Secondary: Online) |
Extrinsicaly Rewarded Soft Q Imitation Learning with Discriminator Ryoma Furuyama, Daiki Kuyoshi, Yamane Satoshi (Kanazawa Univ.) MSS2023-55 SS2023-34 |
Imitation learning is often used in addition to reinforcement learning in environments where reward design is difficult ... [more] | MSS2023-55 SS2023-34 pp.19-24 |
| AP, WPT (Joint) |
2024-01-17 15:25 |
Niigata | Tokimate, Niigata University (Primary: On-site, Secondary: Online) |
[Invited Lecture]
A Method for Estimating Ray-Tracing Parameters Using Machine Learning
-- A Study in Indoor Environment Using Point Cloud Data -- Satoshi Iwasaki, Kento Sugiyama, Yukiko Kishiki (KKE) AP2023-164 |
Radio propagation analysis using the ray tracing method is used in various situations because various radio propagation ... [more] | AP2023-164 pp.24-29 |
| AP, WPT (Joint) |
2024-01-17 16:00 |
Niigata | Tokimate, Niigata University (Primary: On-site, Secondary: Online) |
[Invited Lecture]
A Proposal of Indoor Radio Propagation Estimation Method Using DCNN
-- On Input Maps for Improving Estimation Accuracy of Out-of-sight Areas -- Masamitsu Irikuchi, Tetsuro Imai (Tokyo Denki Univ.), Koshiro Kitao, Satoshi Suyama (NTTDOCOMO) AP2023-165 |
In the next generation communication system (6G), where further improvement of frequency utilization efficiency and powe... [more] | AP2023-165 pp.30-34 |
| SS, MSS | 2024-01-18 11:05 |
Ishikawa | (Primary: On-site, Secondary: Online) |
Preliminary Study on Driver Drowsiness Detection with Deep Learning Using Vehicular Data Yutaro Nakagama, Daisuke Ishii (JAIST), Kazuki Yoshizoe (Kyushu Univ.) MSS2023-63 SS2023-42 |
Driver drowsiness detection (DDD) systems are being developed to prevent accidents caused by the distraction of automobi... [more] | MSS2023-63 SS2023-42 pp.64-69 |
| SS, MSS | 2024-01-18 11:30 |
Ishikawa | (Primary: On-site, Secondary: Online) |
Deep Reinforcement Learning Using LMM's Studying Papers and Intrinsic Rewards Sota Nagano, Satoshi Yamane (Kanazawa Univ.) MSS2023-64 SS2023-43 |
Research combining deep reinforcement learning with a large language model (LLM) produced high scores even for open-worl... [more] | MSS2023-64 SS2023-43 pp.70-75 |
| SS, MSS | 2024-01-18 15:05 |
Ishikawa | (Primary: On-site, Secondary: Online) |
Development of Management Methods against Inappropriate Data Segments in Bus Passenger OD Estimation using Person Tracking Methods Tsubasa Nishiura, Soichiro Yokoyama, Tomohisa Yamashita, Hidenori Kawamura (Hokkaido Univ.) MSS2023-69 SS2023-48 |
We are advancing the development of a passenger Origin-Destination (OD) estimation system using bus passengerboarding an... [more] | MSS2023-69 SS2023-48 pp.99-104 |
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