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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CAS, CS | 2024-03-14 13:55 |
Okinawa | Study on Comparison of Effective CSI Feature Extraction and Deep Learning-Based Indoor Positioning Methods Seiha Homma, Hayato Matsushita, Yuta Ida (Yamaguchi Univ.), Yasuaki Ohira (Kagoshima Univ.), Sho kuroda (FX Systems), Takahiro Matsumoto (Kagoshima Univ.)  CAS2023-119 CS2023-112 |
In recent years, the indoor positioning solution markets has been expanding, and there is a growing demand for indoor po... [more] | CAS2023-119 CS2023-112 pp.47-52 |
|
| AP | 2024-03-15 10:25 |
Fukui | UNIVERSITY OF FUKUI (Primary: On-site, Secondary: Online) |
A Study on Path loss characteristics estimation methods considering geographical conditions for designing narrowband DR-IoT communication system Takato Ikegame, Naoki Ikeda, Motonari Imai, Tetsushi Ikegami (Meiji Univ.), Mineo Takai (Osaka Univ.), Susumu Ishihara (Shizuoka Univ.), Arata Kato, Shugo Kajita (STE) AP2023-212 |
A versatile variable-range IoT communication system using the VHF-High band, Diversified-Range IoT (DR-IoT) is being con... [more] | AP2023-212 pp.63-67 |
| KBSE | 2024-03-15 14:50 |
Okinawa | Okinawa Prefectual General Welfare Center (Primary: On-site, Secondary: Online) |
Learning data creation support tool for learning program defects using images Kazuhiko Ogawa, Takako Nakatani (OUJ) KBSE2023-89 |
We have developed CNN-BI system that learns and infers defects from the images of programs. This paper introduces a tool... [more] | KBSE2023-89 pp.132-137 |
| 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 |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-14 15:20 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Efficient regularizer for 4D light field image denoising based on graph-learning Rino Yoshida (TUS), Kazuya Kodama (NII), Gene Cheung (York Univ.), Takayuki Hamamoto (TUS) IMQ2023-56 IE2023-111 MVE2023-85 |
Advanced 3D visual media as promising technology often require 4D light fields composed of dense multi-view images for a... [more] | IMQ2023-56 IE2023-111 MVE2023-85 pp.235-240 |
| ITS, IEE-ITS | 2024-03-11 14:00 |
Shiga | BKC, Ritsumeikan Univ. (Primary: On-site, Secondary: Online) |
Doppler radar-based recognition of bicycle motions Ryoya Hayashi, Kenshi Saho, Masao Masugi (Ritsumeikan Univ.) ITS2023-80 |
In this report, we present the results of an experiment in which a Doppler radar-based method was used to detect four be... [more] | ITS2023-80 pp.7-10 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-03 09:24 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Cardiac Detection in Non-Contrast CT and Application to Calcium Scoring Tetsuya Asakawa, Hiroki Shinoda (TUT), Takuya Togawa, Kazuki Shimizu (THC), Masaki Aono (TUT) PRMU2023-59 |
Coronary artery disease, one of the major causes of death in Japan, is said to be related to coronary artery calcifica- ... [more] | PRMU2023-59 pp.47-52 |
| 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 |
| 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 |
| 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 |
| EMCJ | 2023-11-24 13:25 |
Tokyo | Kikai-Shinko-Kaikan (Primary: On-site, Secondary: Online) |
A Study on Explainability of Convolutional Neural Network Predicting Electric Characteristics of Automotive Wire Harness Based on Score Regression Activation Mapping (Score-RAM) Syumpei Ebina, Tadatoshi Sekine, Shin Usuki, Kenjiro T. Miura (Shizuoka Univ.) EMCJ2023-74 |
In this report, we propose score regression activation mapping (Score-RAM) based on explainable artificial intelligence.... [more] | EMCJ2023-74 pp.13-18 |
| KBSE, SC | 2023-11-18 15:10 |
Miyagi | Sento Kaikan | Research to improve the accuracy of inferring program defects using deep learning Kazuhiko Ogawa, Takako Nakatani (OUJ) KBSE2023-50 SC2023-33 |
Experienced developers seem to be able to identify defects in programs created by beginners at a glance. We applied sup... [more] |
KBSE2023-50 SC2023-33 pp.93-98 |
| MI, MICT | 2023-11-14 11:10 |
Fukuoka | [Short Paper]
Choroid layer extraction for 3D OCT images using a deep learning network fusing CNN and Transformer Shingo Tamachi, Takayuki Okamoto, Takehito Iwase, Yuto Kawamata, Hirotaka Yokouchi, Hideaki Haneishi (Chiba Univ.) MICT2023-28 MI2023-21 |
The choroid, a dense vascular layer located in the fundus, accounts for the majority of the blood supply to the retina. ... [more] | MICT2023-28 MI2023-21 pp.13-14 |
|
| CS | 2023-11-09 10:55 |
Shizuoka | Plaza Verde | Deep Joint Source-Channel Coding using Overlap Image Division for Block Noise Reduction Ryunosuke Yamamoto, Yoshiaki Inoue, Daisuke Hisano (Osaka Univ.) CS2023-65 |
Deep Joint Source-Channel Coding (Deep JSCC), which uses deep learning to perform source and channel coding simultaneous... [more] | CS2023-65 pp.16-18 |
| NC, MBE (Joint) |
2023-10-27 13:55 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Effect on tuning properties to 1st- and 2nd-order stimuli by inactivation of internal units in Deep Convolutional Neural Network (DCNN) Anqi Wang, Maryu Horyozaki, Takahisa M. Sanada (IPU) NC2023-26 |
Object recognition relies not only on luminance, which is considered 1st-order visual feature, but also on more complex ... [more] | NC2023-26 pp.6-11 |
| AP | 2023-10-19 10:00 |
Iwate | Iwate University (Primary: On-site, Secondary: Online) |
[Poster Presentation]
A Study on Effective Output Layer for DCNN-Based Channel Prediction Model Kazuki Takahashi, Tetsuro Imai (Tokyo Denki Univ.), Miyuki Hirose (Kyushu Institute of Technology) AP2023-94 |
The next-generation mobile communication systems (B5G / 6G) currently under consideration require further improvements i... [more] | AP2023-94 pp.32-36 |
| AP | 2023-10-19 13:00 |
Iwate | Iwate University (Primary: On-site, Secondary: Online) |
[Poster Presentation]
A Proposal of Indoor Radio Propagation Prediction Method by using DCNN Masamitsu Irikuchi, Teturo Imai (TDU), Koshiro Kitao, Satoshi Suyama (DOCOMO) AP2023-119 |
In the next generation communication system (6G), where further improvement of frequency utilization efficiency and powe... [more] | AP2023-119 pp.115-116 |
| SS, DC | 2023-10-11 15:20 |
Nagano | (Primary: On-site, Secondary: Online) |
Efficient Automatic Classification of Non-Functional Requirements in Information Systems Using Deep Learning
-- A Comparative Accuracy Analysis between BERT and GPT-2 -- Kazuhiro Mukaida (Shinshu Univ.), Seiji Fukui, Takeshi Nagaoka, Takayuki Kitagawa (TOSHIBA), Shinpei Ogata, Kozo Okano (Shinshu Univ.) SS2023-23 DC2023-29 |
Recent Advancements in deep learning are increasingly enabling the automation of classifying non-functional requirements... [more] | SS2023-23 DC2023-29 pp.13-18 |
| MIKA (3rd) |
2023-10-10 15:35 |
Okinawa | Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
A Study on Effective Optimization of Input Dataset for DCNN-Based Channel Prediction Model Kazuki Takahashi, Tetsuro Imai (Tokyo Denki Univ.), Miyuki Hirose (Kyushu Institute of Technology) |
The next-generation mobile communication systems (B5G / 6G) currently under consideration require further improvements i... [more] | |
| EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] | 2023-07-25 09:00 |
Hokkaido | Hokkaido Jichiro Kaikan | CNN-Based Iris Recognition Using Multi-spectral Iris Images Ryosuke Kuroda, Tetsuya Honda, Hironobu Takano (Toyama Prefectural Univ.) ISEC2023-36 SITE2023-30 BioX2023-39 HWS2023-36 ICSS2023-33 EMM2023-36 |
Iris recognition using a near-infrared camera is generally known as a biometric authentication method with high accuracy... [more] | ISEC2023-36 SITE2023-30 BioX2023-39 HWS2023-36 ICSS2023-33 EMM2023-36 pp.147-151 |
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