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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 |
| 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 |
| EA, US (Joint) |
2023-12-23 10:05 |
Fukuoka | Inspection of Fat Content in Frozen Albacore Using Multi-Channel A-Mode Ultrasound Suguru Yasutomi, Akira Sakai (Fujitsu), Masafumi Yagi (Tokai Univ.), Kanata Suzuki (Fujitsu), Hiroki Kashikura, Shuichiro Abe, Kaito Nakamura, Yuya Arai, Yuki Tajima, Keiichi Goto (Tokai Univ.) US2023-68 |
Albacore is a commercially important fish in Japan. Traditionally, experts determine its value by cutting and ob- servin... [more] | US2023-68 pp.68-73 |
|
| 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 |
Vehicle communication services using the mobile communication network would further increase communication traffic volum... [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 |
| 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 |
| 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 |
| 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 |
| RCS, SR, SRW (Joint) |
2023-03-01 10:25 |
Tokyo | Tokyo Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
A Novel DNN-based CSI Feedback with Quantization for FDD Massive MIMO Systems Junjie Gao, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.), Gui Guan (NJUPT) RCS2022-252 |
Accessing the accurate downlink channel state information (CSI) is essential to take full advantage of frequency divis... [more] |
RCS2022-252 pp.31-35 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-03-01 11:00 |
Okinawa | (Primary: On-site, Secondary: Online) |
Analysis of Noisy-target Training for DNN-based speech enhancement and investigation towards its practical use Takuya Fujimura, Tomoki Toda (Nagoya Univ.) EA2022-112 SIP2022-156 SP2022-76 |
Deep neural network (DNN)-based speech enhancement usually uses a clean speech as a training target. However, it is hard... [more] | EA2022-112 SIP2022-156 SP2022-76 pp.221-226 |
| DC, SS | 2022-10-25 14:40 |
Fukushima | (Primary: On-site, Secondary: Online) |
Comparison of the Coverage Indicators of Evaluation Data for the Convolutional Neural Networks Yuto Yokoyama, Kozo Okano, Shinpei Ogata (Shinshu Univ.), Shin Nakazima (NII) SS2022-27 DC2022-33 |
Neuron Coverage (NC) was proposed as a measure to quantify the usefulness of evaluation data against Deep Neural Network... [more] | SS2022-27 DC2022-33 pp.29-34 |
| MIKA (3rd) |
2022-10-14 10:40 |
Niigata | Niigata Citizens Plaza (Primary: On-site, Secondary: Online) |
[Poster Presentation]
A New CSI Feedback with Quantization Based on Adaptive DNN for FDD Massive MIMO Systems Junjie Gao, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.), Guan Gui (NJUPT) |
Accessing the accurate downlink channel state information (CSI) is essential to take full advantage of frequency divisio... [more] | |
| IBISML | 2022-09-15 14:00 |
Kanagawa | Keio Univ. (Yagami Campus) (Primary: On-site, Secondary: Online) |
Interpretable Model Combining statements and DNN Ryo Okuda, Yuya Yoshikawa (STAIR) IBISML2022-36 |
In this study, we propose a method that achieves both interpretability of Decision Tree and the prediction accuracy of D... [more] | IBISML2022-36 pp.25-30 |
| PN | 2022-08-29 10:20 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Compensation Performance of DNN-based Nonlinear Equalizer for Optical Communication Systems Jinya Nakamura, Kai Ikuta, Daisuke Motai, Moriya Nakamura (Meiji Univ.) PN2022-10 |
We investigated and compared the performances of three-layer-ANN- and four-layer-DNN-based nonlinear equalizers used for... [more] | PN2022-10 pp.10-14 |
| CAS, SIP, VLD, MSS | 2022-06-16 14:40 |
Aomori | Hachinohe Institute of Technology (Primary: On-site, Secondary: Online) |
Adversarial Robustness of Secret Key-Based Defenses against AutoAttack Miki Tanaka, April Pyone MaungMaung (Tokyo Metro Univ.), Isao Echizen (NII), Hitoshi Kiya (Tokyo Metro Univ.) CAS2022-7 VLD2022-7 SIP2022-38 MSS2022-7 |
Deep neural network (DNN) models are well-known to easily misclassify prediction results by using input images with smal... [more] | CAS2022-7 VLD2022-7 SIP2022-38 MSS2022-7 pp.34-39 |
| EA | 2022-05-13 16:50 |
Online | Online | Basic study for permutation solver based on deep neural networks Fumiya Hasuike, Rui Watanabe, Daichi Kitamura (NIT, Kagawa) EA2022-13 |
This paper focuses on a permutation problem associated with frequency-domain independent component analysis (FDICA) that... [more] | EA2022-13 pp.62-67 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-02 15:35 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Interpolation of head-related transfer function from small amount of observation data using deep learning based on spherical wavefunction expansion Yuki Ito, Tomohiko Nakamura, Shoichi Koyama, Hiroshi Saruwatari (UTokyo) EA2021-90 SIP2021-117 SP2021-75 |
In binaural synthesis, listeners' individual head-related transfer functions (HRTFs) are necessary for highly-immersive ... [more] | EA2021-90 SIP2021-117 SP2021-75 pp.163-170 |
| AI | 2022-02-28 15:00 |
Miyazaki | Youth Hostel Sunflower MIYAZAKI (Primary: On-site, Secondary: Online) |
Basic Study for Backdoor Attack based on Invisible Trigger Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) AI2021-21 |
A backdoor attack is a threat to deep neural networks (DNN). In an attack on a DNN for the purpose of image classificati... [more] | AI2021-21 pp.53-58 |
| RECONF, VLD, CPSY, IPSJ-ARC, IPSJ-SLDM [detail] | 2022-01-24 15:55 |
Online | Online | Accelerating Deep Neural Networks on Edge Devices by Knowledge Distillation and Layer Pruning Yuki Ichikawa, Akira Jinguji, Ryosuke Kuramochi, Hiroki Nakahara (Titech) VLD2021-58 CPSY2021-27 RECONF2021-66 |
A deep neural network (DNN) is computationally expensive, making it challenging to run DNN on edge devices. Therefore, m... [more] | VLD2021-58 CPSY2021-27 RECONF2021-66 pp.49-54 |
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