| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
Technical Committee on Smart Info-Media Systems (SIS) (Searched in: 2017)
Search Results: Keywords 'from:2017-12-14 to:2017-12-14'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIS | 2017-12-14 10:30 |
Tottori | Tottori Prefectural Center for Lifelong Learning | A study on convergence characteristic of IIR subband adaptive notch filters Yasutomo Kinugasa, Tomoki Nakaoka (NIT, Matsue College), Naoto Sasaoka, Yoshio Itoh (Tottori Univ.), Masaki Kobayashi (Chubu Univ.)  SIS2017-33 |
A cascaded second order adaptive notch filters implemented using an allpass filter, for the elimination of multiple sinu... [more] | SIS2017-33 pp.1-4 |
| SIS | 2017-12-14 10:50 |
Tottori | Tottori Prefectural Center for Lifelong Learning | Harmonic Structure Detection in Speech Separation Using Modified DFT Pair Based on ASA Motohiro Ichikawa, Isao Nakanishi (Tottori Univ) SIS2017-34 |
Humans have the ability of cocktail party effect to be able to recognized the target voice from the various conversation... [more] | SIS2017-34 pp.5-9 |
| SIS | 2017-12-14 11:10 |
Tottori | Tottori Prefectural Center for Lifelong Learning | A Study on Adaptive Algorithm for Blind MIMO Equalization Kizuku Morita, Hiroki Inada, Naoto Sasaoka (Tottori Univ.), James Okello (UKZN), Yoshio Itoh (Tottori Univ.) SIS2017-35 |
In this paper, we propose a blind equalization system in a Multiple-Input Multiple-Output (MIMO) -OFDM (Orthogonal Frequ... [more] | SIS2017-35 pp.11-14 |
| SIS | 2017-12-14 11:30 |
Tottori | Tottori Prefectural Center for Lifelong Learning | Information Fractal Dimension as Communication Network Stability Matteo Convertino (Hokudai) SIS2017-36 |
[more] | SIS2017-36 pp.15-20 |
| SIS | 2017-12-14 13:00 |
Tottori | Tottori Prefectural Center for Lifelong Learning | [Tutorial Lecture]
Novel Driver Arousal Method by Extremely Low Frequency Micro AC Magnetic Stimulation Muneo Yamada, Nakano Tomoaki (Meijo Univ.) SIS2017-37 |
We will introduce the latest approach of driver arousal method aimed at preventing drowsy driving. The proposed method d... [more] | SIS2017-37 pp.21-26 |
| SIS | 2017-12-14 13:50 |
Tottori | Tottori Prefectural Center for Lifelong Learning | Object Recognition System using Deep Learning with Depth Image for Home Service Robots Yuma Yoshimoto, Hakaru Tamukoh (Kyutech) SIS2017-55 |
In an aging society with fewer children, home service robots are expected to be realized. In order to bring a realizati... [more] |
SIS2017-55 pp.123-128 |
| SIS | 2017-12-14 14:10 |
Tottori | Tottori Prefectural Center for Lifelong Learning | Haze removal algorithm for time-varying haze images Tatsuya Hamamura, Shinnosuke Ishida, Tomoaki Kimura, Hiroyuki Tsuji (KAIT) SIS2017-39 |
Outdoor images are often degraded by some atmospheric phenomena such as haze, fog, smoke, etc. The algorithm of recoveri... [more] | SIS2017-39 pp.33-37 |
| SIS | 2017-12-14 14:30 |
Tottori | Tottori Prefectural Center for Lifelong Learning | A Method for Image Regularization with Morphological Gradient Priors Considering Optimization of SE Yudai Ikeshita, Mitsuji Muneyasu (Kansai Univ.), Makoto Nakashizuka (CIT), Soh Yoshida (Kansai Univ.) SIS2017-40 |
An image restoration by image regularization with morphological gradient priors has been proposed. In the method, the se... [more] | SIS2017-40 pp.39-44 |
| SIS | 2017-12-14 15:00 |
Tottori | Tottori Prefectural Center for Lifelong Learning | A note on estimation of stress using wearable sensor devices
-- Evaluation of relationships between heart rate variation and salivary α-amylase activity -- Mizuki Arita, Yasutaka Hatakeyama, Hirokazu Tanaka (Hiroshima City Univ.) SIS2017-41 |
Recently, there has been an increase in the number of people who suffer from stress. Along with this situation, it is ge... [more] | SIS2017-41 pp.45-49 |
| SIS | 2017-12-14 15:20 |
Tottori | Tottori Prefectural Center for Lifelong Learning | Measurement of Fatigue by using biological information Takumi Fukunaga, Naoki Fujiwara, Satoru Kishida (Tottori Univ.) SIS2017-42 |
In this paper, we measured a circadian rhythm by using biological information, HR (Heart Rate) and flicker(F)-values. Fr... [more] | SIS2017-42 pp.51-55 |
| SIS | 2017-12-14 15:40 |
Tottori | Tottori Prefectural Center for Lifelong Learning | Individual Differences in Cut-out Areas of Oral Images in Oral Mucosal Disease Diagnosis Support System Nanto Ozaki (KIT), Taishi Ohtani, Manabu Habu, Kazuhiro Tominaga (Kyushu Dental College), Keiichi Horio (KIT) SIS2017-43 |
The oral mucosa disease is more likely to cause various disorders after treatment to occur in the special domain called ... [more] | SIS2017-43 pp.57-62 |
| SIS | 2017-12-14 16:10 |
Tottori | Tottori Prefectural Center for Lifelong Learning | [Invited Talk]
Research on impairment compensation for transceivers in wireless communications Tadao Nakagawa (Tottori Univ.) SIS2017-44 |
As the frequency and frequency bandwidth in wireless communications are high and wide, impairments of analog circuits of... [more] | SIS2017-44 pp.63-67 |
| SIS | 2017-12-15 09:00 |
Tottori | Tottori Prefectural Center for Lifelong Learning | High Precision Localization Protocol with Diversity for 802.11az Leonardo Lanante, Yuhei Nagao, Kurosaki Masayuki, Ochi Hiroshi (KyuTech) SIS2017-45 |
This report introduces a new positioning protocol which leverages the uplink MU-MIMO capability of the 802.11ax WLAN to ... [more] | SIS2017-45 pp.69-74 |
| SIS | 2017-12-15 09:20 |
Tottori | Tottori Prefectural Center for Lifelong Learning | A Proposal about Memory Usage Reduction Method of Non-local Processing Johei Matsuoka (TUT), Takanori Koga (NIT, Tokuyama College), Noriaki Suetake (Yamaguchi Univ.) SIS2017-46 |
In this report, we describe reduction methods of use memory of non-local processing. Non-local processing is excellent n... [more] | SIS2017-46 pp.75-78 |
| SIS | 2017-12-15 09:40 |
Tottori | Tottori Prefectural Center for Lifelong Learning | Data Extraction for Data-embedded Printed Image Arranged at Arbitrary Positions Motoki Amami, Mitsuji Muneyasu, Soh Yoshida (Kansai Univ.) SIS2017-47 |
This paper proposes a data extraction method from plural data-embedded images arbitrarily arranged on a printed matter. ... [more] | SIS2017-47 pp.79-84 |
| SIS | 2017-12-15 10:00 |
Tottori | Tottori Prefectural Center for Lifelong Learning | Elimination of high radioactivity data using forward-projection technique in myocardial perfusion SPECT image Jo Mitsuzuka, Kazuhiro Sawa, Satoru Kishida (Tottori Univ.) SIS2017-48 |
Our purpose is to eliminate a high radioactivity data such as a gall bladder, in the projection data to reduce artifacts... [more] | SIS2017-48 pp.85-87 |
| SIS | 2017-12-15 10:30 |
Tottori | Tottori Prefectural Center for Lifelong Learning | Color Image Enhancement in HSI Color Space with Saturation Correction Minako Kamiyama, Akira Taguchi (Tokyo City Univ.) SIS2017-49 |
In color image processing, hue preserving is required. Therefore, perceptual color models such as HSI and HSV have been ... [more] | SIS2017-49 pp.89-94 |
| SIS | 2017-12-15 10:50 |
Tottori | Tottori Prefectural Center for Lifelong Learning | A Proposal of Illuminant Color Estimation Method Based on Pseudo Specular Reflection Detection Daiki Moriyama, Yoshiaki Ueda (Yamaguchi Univ.), Takanori Koga (NIT, Tokuyama College), Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) SIS2017-50 |
White balance (WB) is a process in order to remove unrealistic color casts so that objects which appear white in person ... [more] | SIS2017-50 pp.95-100 |
| SIS | 2017-12-15 11:10 |
Tottori | Tottori Prefectural Center for Lifelong Learning | Improvement of passing-by object removal using time-series images Hiroaki Ishino, Mami Nagoya, Tomoaki Kimura, Hiroyuki Tsuji (KAIT) SIS2017-51 |
Moving objects such as passersby, automobiles, etc. sometimes happen to be in the photo, when taking pictures of landsca... [more] | SIS2017-51 pp.101-106 |
| SIS | 2017-12-15 11:30 |
Tottori | Tottori Prefectural Center for Lifelong Learning | A Proposal of Contrast Enhancement Method by Using Multi-Dimensional Histogram Transfer Yoshiaki Ueda (Yamaguchi Univ.), Takanori Koga (NIT, Tokuyama College), Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) SIS2017-52 |
As one of the most popular contrast enhancement methods, there is a histogram equalization (HE). In the HE, an input ima... [more] | SIS2017-52 pp.107-112 |
[Return to Top Page]