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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 87  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
RCS, SR, SRW
(Joint)
2024-03-13
13:25
Tokyo The University of Tokyo (Hongo Campus), and online
(Primary: On-site, Secondary: Online)
Underwater Acoustic Communication Between Autonomous Surface Vehicle and Autonomous Underwater Vehicle in Shallow Sea Channel -- Experimental Demonstration of the Mobile Communication Between High Speed Vehicles Using a Multi-channel Decision Feedback Equalizer Approach --
Yukihiro Kida, Mitsuyasu Deguchi, Takuya Shimura (JAMSTEC), Narihiro Iwama (ATLA) RCS2023-260
Underwater acoustic communication is known for one of the most severe doubly selective propagation environment with sign... [more] RCS2023-260
pp.36-41
SeMI, IPSJ-UBI, IPSJ-MBL 2024-03-01
10:30
Fukuoka   A Preliminary Study on Parameter Optimization Using a Backpropagation Algorithm for a Neonatal Thermal Model
Natsumi Sakamoto, Hiroki Kudo, Akira Uchiyama (Osaka Univ.), Keisuke Hamada (Nagasaki Harbor Medical Center), Eiji Hirakawa (Kagoshima City Hospital) SeMI2023-81
Neonates need temperature management in incubators due to their underdeveloped thermoregulatory functions. Traditional m... [more] SeMI2023-81
pp.60-65
RISING
(3rd)
2023-10-31
10:45
Hokkaido Kaderu 2・7 (Sapporo) [Poster Presentation] Study on Beamforming Feedback in Wireless LANs and Singular Value Decomposition
Hiroki Shimomura (Kyoto Univ.), Koji Yamamoto (KIT), Takayuki Nishio (Tokyo Tech.), Akihito Taya (Tokyo Univ.)
We investigated the properties of beamforming feedback (BFF) facilitated by singular value decomposition (SVD) as a step... [more]
RISING
(3rd)
2023-10-31
14:00
Hokkaido Kaderu 2・7 (Sapporo) [Poster Presentation] Optimal Compression Rate for Multiple Data Compression Techniques in Data Parallel Distributed Deep Learning
Ryudai Fukuda, Takuji Tachibana (Univ. Fukui)
In distributed deep learning, where multiple processors are used, the learning time can be significantly reduced by exec... [more]
NS 2023-10-05
10:10
Hokkaido Hokkaidou University + Online
(Primary: On-site, Secondary: Online)
[Encouragement Talk] Communication Scheduling Based on Heuristic Algorithm in Distributed Deep Learning
Ryudai Fukuda, Takuji Tachibana (Univ. Fukui) NS2023-86
In distributed deep learning, where multiple processors are used, the learning time can be significantly reduced by exec... [more] NS2023-86
pp.83-88
CS 2023-07-28
14:50
Tokyo Hachijo-machi Chamber of Commerce and Industry Improving position estimation accuracy method by reducing RSSI fluctuations in BLE fingerprinting-based indoor positioning
Jingshi Qian, Nobuyoshi Komuro (Chiba Univ.) CS2023-58
The complex indoor environment will reflect and absorb the RSSI (Received Signal Strength Indicator) from the sensor. Be... [more] CS2023-58
pp.163-168
NS, ICM, CQ, NV
(Joint)
2022-11-24
13:00
Fukuoka Humanities and Social Sciences Center, Fukuoka Univ. + Online
(Primary: On-site, Secondary: Online)
Optimal Data Communication Scheduling Considering Multiple Data Compression Techniques in Distributed Deep Learning
Fukuda Ryudai, Takuji Tachibana (Univ. Fukui) NS2022-105
In distributed deep learning, which uses multiple processors, the training time can be greatly reduced by executing the ... [more] NS2022-105
pp.29-34
ITE-BCT, OCS, IEE-CMN, OFT 2022-11-11
13:00
Miyagi Forest-Sendai
(Primary: On-site, Secondary: Online)
Learning-based digital back propagation considering cross-phase modulation in wavelength-division multiplexed transmission systems
Takashi Inoue, Ryosuke Matsumoto, Shu Namiki (AIST) OCS2022-44
We propose a scheme to compensate waveform distortion of optical signals due to fiber nonlinearity in wavelength-divisio... [more] OCS2022-44
pp.24-29
SIS, IPSJ-AVM 2022-06-10
11:20
Fukuoka KIT(Wakamatsu Campus)
(Primary: On-site, Secondary: Online)
Sugar content detection using wireless LAN system for sucrose aqueous solution
Souta Yakura, Naoto Sasaoka, Tadao Nakagawa, Yoshihiro Takemura (Tottori Univ.) SIS2022-8
Currently, Japan’s agricultural industry is facing various problems such as farming population. To solve such problems ,... [more] SIS2022-8
pp.36-40
SeMI, IPSJ-MBL, IPSJ-UBI 2022-03-07
14:25
Online Online Non-Backtracking Consensus Algorithm for Sensor Networks
Akihito Taya (Aoyama Gakuin Univ.) SeMI2021-86
This paper proposes a non-backtracking consensus algorithm for sensor networks. By focusing on the amount of information... [more] SeMI2021-86
pp.19-24
SeMI 2022-01-20
15:20
Nagano
(Primary: On-site, Secondary: Online)
[Short Paper] A Study of Beamforming Feedback-based Model-driven Angle of Departure Estimation
Sohei Itahara (Kyoto Univ.), Takayuki Nishio (Kyoto Univ./Tokyo Tech.), Koji Yamamoto (Kyoto Univ.) SeMI2021-68
This paper introduces the angle of departure (AoD) estimation method [1] using the multiple signal classification (MUSIC... [more] SeMI2021-68
pp.59-61
MBE, NC
(Joint)
2021-10-28
15:55
Online Online A Study on Improvement Learning Performance with Chaos Neurons
Renshi Nagasawa, Masahiro Nakagawa (NUT) NC2021-23
In the backpropagation method in neural networks, the problem is that the energy converges to the local minimum. On the... [more] NC2021-23
pp.28-33
IN, CCS
(Joint)
2021-08-05
14:25
Online Online Digital Implement of 3-layered Neural Networks with Stochastic Activation, Shunting Inhibition, and a Dual-rail Backpropagation
Yoshiaki Sasaki, Seiya Muramatsu, Kohei Nishida, Megumi Akai-Kasaya, Tetsuya Asai (Hokkaido Univ.) CCS2021-16
Stochastic computing (SC) is an arithmetic technique that enables various operations to be performed with a small number... [more] CCS2021-16
pp.7-13
NC, MBE
(Joint)
2021-03-05
13:25
Online Online Applying Ensemble Learning in Relay BP
Keisuke Toyama, Yukari Yamauchi (Nihon Univ.) NC2020-70
Convolutional Neural Network (CNN) is one of the network models that can produce highly accurate output even though it u... [more] NC2020-70
pp.157-162
RCS, AP, UWT
(Joint)
2020-11-26
11:20
Online Online [Invited Lecture] Adaptive digital down-conversion for underwater acoustic communication
Mitsuyasu Deguchi, Yukihiro Kida, Takuya Shimura (JAMSTEC) AP2020-86 RCS2020-125
In underwater acoustic communication, effects of the Doppler shift is much larger than that of the radio communication i... [more] AP2020-86 RCS2020-125
pp.72-77(AP), pp.87-92(RCS)
MBE, NC, NLP, CAS
(Joint) [detail]
2020-10-29
16:10
Online Online Numerical research on effects of quantization in SNN learned by backpropagation
Yumi Watanabe, Jun Ohkubo (Saitama Univ.) NC2020-14
There are many studies to quantize the parameters of neural networks. For example, while there are methods of quantizing... [more] NC2020-14
pp.29-33
IBISML 2020-10-22
14:25
Online Online Improvement of the robustness by increasing the size of feedback vertex set
Masaki Chujyo, Yukio Hayashi (JAIST) IBISML2020-31
Many real world networks such as power grid and communication networks are commonly scale-free, but highly vulnerable ag... [more] IBISML2020-31
pp.55-60
AP, SANE, SAT
(Joint)
2020-07-17
10:45
Online Online Computation on Circularly Polarized Electromagnetic Wave Backscattering by A Tree Target using FDTD Method
Xiangyu Huang, Mohammad Nasucha, Josaphat T. Sri sumantyo, Cahya E.Santosa (Chiba Univ) SANE2020-18
Chiba University is developing Circularly Polarized Synthetic Aperture Radar (CP-SAR). Understanding electromagnetic wav... [more] SANE2020-18
pp.11-15
RCS 2020-04-23
- 2020-04-24
Online Online Generalization of Performance Analysis on OFDM Pilot-Aided Ambient Backscatter Communications
Takanori Hara, Ryuhei Takahashi, Koji Ishibashi (The Univ. of Electro-Communications) RCS2020-9
As a promising scheme to transmit the information with ultra-low-power, ambient backscatter communication (AmBC) exploit... [more] RCS2020-9
pp.49-54
NC, MBE
(Joint)
2020-03-05
10:20
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
An extension of the H_infinity learning to deep neural networks
Yasuhiro Sugawara, Kiyoshi Nishiyama (Iwate University) NC2019-92
In recent years, deep neural networks have achieved remarkable research results. In this study, we propose a method to e... [more] NC2019-92
pp.95-100
 Results 1 - 20 of 87  /  [Next]  
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