Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SIS |
2021-03-04 09:00 |
Online |
Online |
Optimization source-filtere based speech waveform generation using adversarial training Hayato Mitsui, Yosuke Sugiura, Nozomiko Yasui, Tetsuya Shimamura (Saitama Univ.) SIS2020-35 |
This research aims to improve the accuracy of the source-filter based speech waveform generation model using deep learni... [more] |
SIS2020-35 pp.1-4 |
SIS |
2021-03-04 09:20 |
Online |
Online |
A Fast Algorithm of an Adaptive Notch Filter for Colored Input Signal Chiharu Matsumoto, Yasutomo Kinugasa (NIT, Matsue College), Ryo Ashikaga (NEC Networks & System Integration), Yoshio Itoh, Naoto Sasaoka (Tottori Univ.) SIS2020-36 |
In an adaptive notch filter based on an allpass filter, it has been proved that the bias error is zero when the wideband... [more] |
SIS2020-36 pp.5-10 |
SIS |
2021-03-04 09:40 |
Online |
Online |
Development of underwater sound wave propagation simulator handling sound source movement and element directivity Kouhei Suzuki, Shingo Yoshizawa (Kitami Inst. of Tech.) SIS2020-37 |
Communication performance and position accuracy in underwater acoustic communication and localization are affected by so... [more] |
SIS2020-37 pp.11-14 |
SIS |
2021-03-04 10:00 |
Online |
Online |
A Proposed Method of Loud Boat Prediction with Boat type by Boat Noise Using CNN Haruki Yamaguchi, Kenji Muto (Shibaura Inst. Tech.), Yosuke Kobayashi (Muroran Inst. Tech.) SIS2020-38 |
One of a canal, some boats generate loud sound reaching the noise level of 70 dB inside houses. We have proposed a syste... [more] |
SIS2020-38 pp.15-20 |
SIS |
2021-03-04 10:20 |
Online |
Online |
Evaluation of Sound Field by Monofractal Dimension Hideo Shibayama (Shibaura Institute of Technology), Yoshiaki Makabe (Kanagawa Institute of Technology), Kenji Muto (Shibaura Institute of Technology), Tomoaki Kimura (Kanagawa Institute of Technology) SIS2020-39 |
Environmental sound is composed of sounds generated from various sources. And, the sound pressure waveform is constantly... [more] |
SIS2020-39 pp.21-26 |
SIS |
2021-03-04 10:40 |
Online |
Online |
Effect of Environmental Sound from Outside of Building to Inside by Using Fractal Dimension Yoshiaki Makabe (Kanagawa Institute of Technology), Kenji Muto, Hideo Shibayama (Shibaura Institute of Technology), Tomoaki Kimura (Kanagawa Institute of Technology) SIS2020-40 |
We are conducting the study of evaluating method for environmental sound using complexity of time series wave of amplitu... [more] |
SIS2020-40 pp.27-32 |
SIS |
2021-03-04 11:10 |
Online |
Online |
A Proposal of Nighttime Dehazing Method Using Multi-Scale Gaussian Filter Takafumi Akita, Seiichi Kojima, Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) SIS2020-41 |
When images or videos are captured in outdoors, the visibility of objects may be affected by haze such as fog. In recent... [more] |
SIS2020-41 pp.33-38 |
SIS |
2021-03-04 11:30 |
Online |
Online |
A Proposal of 3-Level Error Diffusion Method by Using Piecewise-Linear Conversion Shuma Takeda (Yamaguchi Univ.), Yoshiaki Ueda (Fukuoka Univ.), Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) SIS2020-42 |
It is required to convert a multigradation image into a few gradation image in order to express it in electronic papers ... [more] |
SIS2020-42 pp.39-44 |
SIS |
2021-03-04 11:50 |
Online |
Online |
A Method of Curved Character String Correction of Folded Document Images Takeru Doi, Hiroyuki Tsuji, Tomoaki Kimura (KAIT) SIS2020-43 |
Various scanners and cameras are used to convert documents into data. And using a smartphone is the simplest method. How... [more] |
SIS2020-43 pp.45-48 |
SIS |
2021-03-04 12:10 |
Online |
Online |
Data Extraction from Printed Data-Embedding Image Using Projectors Motoki Amami, Mistuji Muneyasu, Soh Yoshida (Kansai Univ.) SIS2020-44 |
A method that embeds information in images to extract additional information using the camera of a mobile device has bee... [more] |
SIS2020-44 pp.49-54 |
SIS |
2021-03-04 13:30 |
Online |
Online |
Improvement of Detection Accuracy of Calcification Regions from Dental Panoramic Radiograph Using Deep Learning Taito Murano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital), Dewake Nanae, Yasuaki Ishioka, Nobuo Yoshinari (Matsumoto Dental Univ.) SIS2020-45 |
Dental panoramic radiographs may show calcified areas that are a sign of vascular disease. Finding these areas in dentis... [more] |
SIS2020-45 pp.55-60 |
SIS |
2021-03-04 13:50 |
Online |
Online |
A method of Generating Color Palettes with Deep Neural Networks Considering Human Perception and Its Evaluation Beiying Liu, Kaoru Arakawa (Meiji Univ.) SIS2020-46 |
A method for generating color palettes from images is proposed and the obtained color palettes are evaluated both object... [more] |
SIS2020-46 pp.61-66 |
SIS |
2021-03-04 14:10 |
Online |
Online |
Hardware Implementation of Object Recognition Neural Network using Depth Images Yuma Yoshimoto (Kyutech/JSPS Research Fellow), Hakaru Tamukoh (Kyutech/Research Center for Neuromorphic AI Hardware) SIS2020-47 |
In this study, we propose an object recognition neural network using depth images, implemented on an FPGA for service ro... [more] |
SIS2020-47 pp.67-70 |
SIS |
2021-03-04 14:30 |
Online |
Online |
Detection of Users Spreading Fake News Using Graph Neural Network Soh Yoshida, Hayato Matsumoto, Mitsuji Muneyasu (Kansai Univ.) SIS2020-48 |
Social media has become one of the primary news sources for people around the world. However, there is an increased risk... [more] |
SIS2020-48 pp.71-76 |
SIS |
2021-03-04 15:00 |
Online |
Online |
[Tutorial Lecture]
The Analysis of a Sound Wave Complexity for Keeping Sound Environment Yoshiaki Makabe (Kanagawa Institute of Technology), Kenji Muto, Hideo Shibayama (Shibaura Institute of Technology), Tomoaki Kimura (Kanagawa Institute of Technology) SIS2020-49 |
We are conducting the study of evaluating method for environmental sound using complexity of time series wave of amplitu... [more] |
SIS2020-49 pp.77-82 |
SIS |
2021-03-04 15:50 |
Online |
Online |
[Invited Talk]
A Proposal in Order to use AI Safely for Control Nobuyasu Kanekawa (Hitachi) SIS2020-50 |
The research of the deep learning which developed the "neural Network" proposed by the second AI (artificial intelligenc... [more] |
SIS2020-50 pp.83-87 |
SIS |
2021-03-05 09:00 |
Online |
Online |
A Study on Anomalous Signal Detection Using Convolutional Neural Network for ELF Band Electromagnetic Wave Hideo Kohatsu, Akitoshi Itai (Chubu Univ.), Ichi Takumi (Nagoya Institute of Tech.), Hiroshi Yasukawa (Aichi Prefectural Univ.) SIS2020-51 |
The electromagnetic (EM) wave radiated from the earth's crust is known as an important information to understand the pre... [more] |
SIS2020-51 pp.88-93 |
SIS |
2021-03-05 09:20 |
Online |
Online |
Study on change in SSVEP induction amount and increase in BCI command number due to difference in brightness of visual stimulus Masaki Ishikawa, Akitoshi Itai (Chubu Univ.) SIS2020-52 |
SSVEP is often used to transmit our will to a brain computer interface (BCI) without anybody movements. In SSVEP based ... [more] |
SIS2020-52 pp.94-97 |
SIS |
2021-03-05 09:40 |
Online |
Online |
The effect of edge direction in visual stimulus for SSVEP evoking Tsutomu Yoshida, Masaki Ohashi, Akitoshi Itai (Chubu Univ.) SIS2020-53 |
The Steady-State Visual Evoked Potential(SSVEP) is an electroencephalogram evoked when our attention is toward a visual ... [more] |
SIS2020-53 pp.98-102 |
SIS |
2021-03-05 10:00 |
Online |
Online |
Prediction of Network Traffic through Gaussian Process Yitu Wang, Takayuki Nakachi (NTT) SIS2020-54 |
With accurate network traffic prediction, future communication networks can realize self-management and enjoy intelligen... [more] |
SIS2020-54 pp.103-108 |