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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 368  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
NLP, MSS 2024-03-14
10:00
Misc. Kikai-Shinko-Kaikan Bldg. Extraction of Traffic Accident High-Risk Areas Using Deep Learning of Map Images and Grad-CAM
Kaito Arase, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) MSS2023-86 NLP2023-138
An attempt has been made to predict the traffic accident risk of each map tile image at zoom level 17 using a Convolutio... [more] MSS2023-86 NLP2023-138
pp.71-76
IA, SITE, IPSJ-IOT [detail] 2024-03-13
14:05
Okinawa Miyakojima City Future Creation Center
(Primary: On-site, Secondary: Online)
Perceptual Hashing Based on CNN Node Responses
Yusei Sugawara, Kaito Hosono, Tetsuya Morizumi, Hirotsugu Kinoshita (Kanagawa Univ.) SITE2023-101 IA2023-107
As technology advances, unauthorized duplication of images has become a serious issue related to copyright infringement.... [more] SITE2023-101 IA2023-107
pp.203-210
DC 2024-02-28
13:40
Tokyo Kikai-Shinko-Kaikan Bldg. Test Point Selection Method for Multi-Cycle BIST Using Deep Reinforcement Learning
Kohei Shiotani, Tatsuya Nishikawa, Shaoqi Wei, Senling Wang, Hiroshi Kai, Yoshinobu Higami, Hiroshi Takahashi (Ehime Univ.) DC2023-98
Multi-cycle BIST is a test method that performs multiple captures for each scan pattern, proving effective in reducing t... [more] DC2023-98
pp.23-28
VLD, HWS, ICD 2024-03-01
10:10
Okinawa
(Primary: On-site, Secondary: Online)
Fault Detectable Convolutional Neural Network Circuits With Dual Modular Redundancy Based on Mixed-precision Quantization
Yamato Saikawa, Yuta Owada, Yoichi Tomioka, Hiroshi Saito, Yukihide Kohira (UoA) VLD2023-122 HWS2023-82 ICD2023-111
In safety-critical edge AI systems, circuit failures caused by aging or cosmic ray can lead to serious accidents. Dual M... [more] VLD2023-122 HWS2023-82 ICD2023-111
pp.119-124
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
ICTSSL, CAS 2024-01-25
11:45
Kanagawa
(Primary: On-site, Secondary: Online)
Comparison of transfer learning and fine tuning
Ohata Shunsuke, Okazaki Hideaki (SIT) CAS2023-88 ICTSSL2023-41
This report examines the principal image recognition methods. First, we show the experimental results of image recogniti... [more] CAS2023-88 ICTSSL2023-41
pp.31-33
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
EMT, PN, MWPTHz, IEE-EMT [detail] 2024-01-22
10:55
Kyoto Kyoto Univ. Yoshida Campus Transmission Characteristics Adaptation of a Microstrip Line Filters Using the Transformer
Keiichiro Yamada, Takashi Kuroki, Naoki Miyata (TMCIT) PN2023-49 EMT2023-89 MWPTHz2023-77
This paper presents new technique for inverse model that can be proposed geometrical parameters of microwave circuit fro... [more] PN2023-49 EMT2023-89 MWPTHz2023-77
pp.11-16
SeMI 2024-01-18
13:30
Yamanashi Raki House Kaiji Enhancing Human Skeleton Estimation with Multi-Frame mmWave Radar Point Cloud-based Method
Xintong Shi, Tomoaki Ohtsuki (Keio Univ.) SeMI2023-52
Millimeter-Wave (mmWave) radar-based skeleton estimation has emerged as a focal point in the realm of human motion analy... [more] SeMI2023-52
pp.18-21
AP, WPT
(Joint)
2024-01-19
15:25
Niigata Tokimate, Niigata University
(Primary: On-site, Secondary: Online)
[Invited Lecture] Radio Propagation Modeling Using CNN with Rectangular Map Data
Tatsuya Nagao, Takahiro Hayashi (KDDI Research, Inc.) AP2023-184
Recently, machine learning-based methods using environmental information as features have been proposed to model site-sp... [more] AP2023-184
pp.126-130
NLP 2023-11-28
13:50
Okinawa Nago city commerce and industry association Considerations on the distribution of latent variables in CNNs
Mizuki Dai, Kenya Jin'no (Tokyo City Univ.) NLP2023-65
Abstract Fully comprehending the output decision mechanisms of neural networks is a critical challenge. This article foc... [more] NLP2023-65
pp.31-34
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
EMM, EA, ASJ-H 2023-11-23
13:00
Toyama   [Poster Presentation] A Study of Complexity Reduction for Classification of Musical Instruments Using Element Selection
Ryu Kato, Natsuki Ueno, Nobutaka Ono (Tokyo Metropolitan Univ.), Ryo Matsuda, Kazunobu Kondo (Yamaha Corp.) EA2023-37 EMM2023-68
In this study, we propose complexity reduction in convolutional-neural-network (CNN)-based music instruments classificat... [more] EA2023-37 EMM2023-68
pp.51-56
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
PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI 2023-11-17
09:20
Tottori
(Primary: On-site, Secondary: Online)
Co-speech Gesture Generation with Variational Auto Encoder
Shihichi Ka, Koichi Shinoda (Tokyo Tech) PRMU2023-29
Co-speech gesture generation is the study of generating gestures from speech. In prior works, deterministic methods lear... [more] PRMU2023-29
pp.74-79
SCE 2023-10-31
10:00
Miyagi RIEC, Tohoku Univ.
(Primary: On-site, Secondary: Online)
Design of a Modularized Circuits Library for Binary Convolutional Neural Network Accelerator using Single Flux Quantum Circuits
Zeyu Han, Zongyuan Li, Yuki Yamanashi, Nobuyuki Yoshikawa (Yokohama National Univ.) SCE2023-17
To implement a binary neural network (BNN) based on SFQ circuits, we designed a modularized circuits library based on th... [more] SCE2023-17
pp.26-31
BioX 2023-10-12
15:25
Okinawa Nobumoto Ohama Memorial Hall A Study on Ear Acoustic Personal Authentication System Using Domain Transformation for Numerical Analysis Data
Masafumi Morimoto (Kansai Univ.), Shunsuke Kita (ORIST), Yoshinobu Kajikawa (Kansai Univ.) BioX2023-60
We propose a new personal authentication system using ear pinna transfer functions.
This proposed method is constructe... [more]
BioX2023-60
pp.12-15
IMQ, HIP 2023-07-28
16:00
Hokkaido Satellite Campus, Sapporo City University A system for correcting a balance of facial parts when drawing manga characters
Isshin Ono, Tetsuya Matsumoto (Nagoya Univ.), Yoshinori Takeuchi (Daido Univ.), Hiroaki Kudo (Nagoya Univ.) IMQ2023-7 HIP2023-46
In manga, character faces are an important factor for the character’s attraction and help readers to understand the char... [more] IMQ2023-7 HIP2023-46
pp.21-25
WIT 2023-06-17
15:20
Okinawa Okinawa Industry Support Center
(Primary: On-site, Secondary: Online)
Improved Visual Intentions Estimation Model Using Depth Information and Object Detection
Sho Higa, Masakiyo Okuhama, Koji Yamada (Ryukyu Univ.), Shihoko Kamisato (NIT,Okinawa College) WIT2023-17
In this study, we propose an improved visual intention estimation model based on object detection to distinguish eye and... [more] WIT2023-17
pp.76-77
 Results 1 - 20 of 368  /  [Next]  
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