| 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 # | |
| 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) |
(To be available after the conference date) [more] | |
| NS | 2023-10-05 09:20 |
Hokkaido | Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
[Encouragement Talk]
Experimental Evaluation of Vehicle Traffic Density Estimation for Predicting Communication Traffic Volume by Vehicle Communication Services Yoshie Morita, Kengo Tajiri, Yoichi Matsuo (NTT)  NS2023-84 |
(To be available after the conference date) [more] | NS2023-84 pp.71-76 |
| RCS, SAT (Joint) |
2023-08-31 10:30 |
Nagano | Naganoken Nokyo Building, and online (Primary: On-site, Secondary: Online) |
Enhancing CSI Feedback in FDD Massive MIMO Systems using Dropout-based Deep Neural Network Junjie Gao, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.), Guan Gui (NJUPT) RCS2023-101 |
Accessing precise downlink channel state information (CSI) is crucial in maximizing the benefits of frequency division ... [more] |
RCS2023-101 pp.1-4 |
| SDM, ICD, ITE-IST [detail] | 2023-08-02 09:45 |
Hokkaido | Hokkaido Univ. Multimedia Education Bldg. 3F (Primary: On-site, Secondary: Online) |
A 1W/8R 20T SRAM Codebook for Deep Learning Processors to Reduce Main Memory Bandwidth Ryotaro Ohara, Masaya Kabuto, Masakazu Taichi, Atsushi Fukunaga, Yuto Yasuda, Riku Hamabe, Shintaro Izumi, Hiroshi Kawaguchi (Kobe Univ) SDM2023-44 ICD2023-23 |
We present a 1W8R 20T multi-port memory for codebook quantisation in deep learning processors, manufactured in a 40 nm p... [more] | SDM2023-44 ICD2023-23 pp.41-44 |
| R | 2023-07-28 15:30 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Deep Learning Approach for OSS Reliability Assessment Based on Data Preprocessing Considering the Wiener Process Yoshinobu Tamura (Yamaguchi Univ.), Shigeru Yamada (Tottori Univ.) R2023-16 |
In many open source software, the development style based on the database of general bug tracking systems is the normal ... [more] | R2023-16 pp.33-38 |
| MSS, CAS, SIP, VLD | 2023-07-06 14:40 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Convergence Acceleration of Particle-based Variational Inference by Deep Unfolding Yuya Kawamura, Satoshi Takabe (Tokyo Tech) CAS2023-8 VLD2023-8 SIP2023-24 MSS2023-8 |
Stein Variational Gradient Descent(SVGD) is a prominent particle-based variational inference method used for estimating ... [more] | CAS2023-8 VLD2023-8 SIP2023-24 MSS2023-8 pp.37-42 |
| MI | 2023-07-03 13:00 |
Miyagi | Tohoku Univ. Sakura Hall | [Special Talk]
Transition of Medical Imaging Koichi Ito (Tohoku Univ.) MI2023-10 |
Over the past decade, research in medical image processing has dramatically changed. In particular, feature extraction u... [more] | MI2023-10 p.11 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2023-06-23 13:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
Data Augmentation by Synthesised Voice for Deep Learning-based A Cappella Separation Kyoka Kazama (TMU), Yuma Kinoshita (Tokai Univ.), Natsuki Ueno, Nobutaka Ono (TMU) SP2023-4 |
In this study, we examine efficacy of training data augmentation for a cappella singing voice separation using deep lear... [more] | SP2023-4 pp.14-19 |
| SIS, IPSJ-AVM [detail] | 2023-06-15 11:35 |
Shimane | NIT, Matsue College (Primary: On-site, Secondary: Online) |
Detection of Calcification Regions from Dental Panoramic Radiograph Based on Semantic Segmentation Using Transformers Taito Murano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital,) SIS2023-3 |
Calcification regions, considered a sign of atherosclerosis, are sometimes observed in the carotid arteries in dental pa... [more] | SIS2023-3 pp.13-18 |
| SR | 2023-05-11 15:10 |
Hokkaido | Center of lifelong learning Kiran (Higashi Muroran) (Primary: On-site, Secondary: Online) |
[Short Paper]
Continuous Compressible Deep Joint Source Channel Coding Junichiro Yamada, Katsuya Suto (UEC) SR2023-11 |
Deep Joint Source Channel Coding (DeepJSCC), which designs a source and channel coding model with deep neural networks a... [more] | SR2023-11 pp.58-60 |
| NS | 2023-04-13 13:40 |
Fukushima | Nihon University, Koriyama Campus + Online (Primary: On-site, Secondary: Online) |
Vehicle Traffic Density Estimation for Predicting Communication Traffic Volume by Vehicle Communication Service Yoshie Morita, Kengo Tajiri, Yoichi Matsuo (NTT) NS2023-3 |
Vehicle communication services are new services using the mobile communication network. Since these services are expecte... [more] | NS2023-3 pp.13-18 |
| ICD | 2023-04-11 09:30 |
Kanagawa | (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Development of A Variation-Tolerant Processing-In-Memory Architecture Using Discharging Current Calibration Daiki Kitagata, Shinji Tanaka, Naoya Fujita, Naoaki Irie (REL) ICD2023-8 |
Processing-in-memory (PIM) has recently been expected to be a key technology for endpoint intelligence since it can dram... [more] | ICD2023-8 p.16 |
| ICSS, IPSJ-SPT | 2023-03-13 14:40 |
Okinawa | Okinawaken Seinenkaikan (Primary: On-site, Secondary: Online) |
Consideration of a Packet Level Anomaly Communication Classification Model Using Word Embedding and LSTM Yoshikatsu Kashiwabara, Kohei Miyamoto, Iida Masazumi, Shota Kawanaka (Kyushu Univ), Han Chansu, Ban Tao, Kenshi Takahashi (NICT), Jun'ichi Takeuchi (Kyushu Univ) ICSS2022-53 |
In recent years, network-based intrusion detection systems (NIDS), which are systems for detecting unauthorized access o... [more] | ICSS2022-53 pp.31-36 |
| MI | 2023-03-06 13:15 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Improvement of Small Organ Accuracy in Multi-Organ Segmentation of Abdominal CT Images Using 2.5D Deformable Convolutional CNN Yuya Okumura, Hiroyuki Kudo, Hotaka Takizawa (Univ of Tsukuba) MI2022-80 |
In multi-organ segmentation of abdominal CT images using deep learning, small organs such as the pancreas are difficult ... [more] | MI2022-80 pp.38-39 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 09:00 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Toward Regularizing Neural Networks with Meta-Learning Generative Models Shin'ya Yamaguchi (NTT/Kyoto Univ.), Daiki Chijiwa, Sekitoshi Kanai, Atsutoshi Kumagai (NTT), Hisashi Kashima (Kyoto Univ.) PRMU2022-58 IBISML2022-65 |
This paper investigates methods for improving generative data augmentation for deep learning. Generative data augmentati... [more] | PRMU2022-58 IBISML2022-65 pp.1-6 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 11:15 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
A trial of writer identification using a deep neural network trained by handwriting of multiple character types
-- A study using a handwriting database of 401 writers -- Yoshinori Akao (NRIPS) PRMU2022-72 IBISML2022-79 |
We attempted to identify the writer by learning a deep network (GoogLeNet) using a handwriting database of 548 kanji cha... [more] | PRMU2022-72 IBISML2022-79 pp.76-81 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 11:40 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Novel Adversarial Attacks Based on Embedding Geometry of Data Manifolds Masahiro Morita, Hajime Tasaki, Jinhui Chao (Chuo Univ.) PRMU2022-84 IBISML2022-91 |
It has been shown recently that adversarial examples inducing misclassification by deep neural networks exist in the ort... [more] | PRMU2022-84 IBISML2022-91 pp.140-145 |
| EMM | 2023-03-02 14:30 |
Nagasaki | Fukue culture hall (Primary: On-site, Secondary: Online) |
[Poster Presentation]
A Study on Eliminating Malicious Node in Federated Learning Reon Akai, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ) EMM2022-84 |
Federated learning (FL) has been proposed to aggregate deep learning models trained at each node in order to utilize pri... [more] | EMM2022-84 pp.89-94 |
| EMM | 2023-03-02 16:00 |
Nagasaki | Fukue culture hall (Primary: On-site, Secondary: Online) |
[Invited Talk]
Image transformation with random numbers for reliable AI Hitoshi Kiya (TMU) EMM2022-87 |
The combined use of deep neural networks (DNNs) and images transformed with random sequences has given a new insight for... [more] | EMM2022-87 pp.107-109 |
| SIS | 2023-03-02 13:30 |
Chiba | Chiba Institute of Technology (Primary: On-site, Secondary: Online) |
An image watermarking method using adversarial perturbations Sei Takano, Mitsuji Muneyasu, Soh Yoshida (Kansai Univ.) SIS2022-43 |
The performance of convolutional neural networks (CNNs) has been dramatically improved in recent years, and they have at... [more] | SIS2022-43 pp.15-20 |
[Return to Top Page]