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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 20  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU 2019-12-19
14:00
Oita   Efficient Object Detection for Railway Crossing Combining Image Classification and Object Detection
Kaisei Shimura, Yoichi Tomioka, Qiangfu Zhao (UoA) PRMU2019-52
In this research, we aim to develop a system to support drivers to prevent accidents when driving an mobility scooter. A... [more] PRMU2019-52
pp.35-39
KBSE, SC 2018-11-10
09:00
Hyogo   Short Time Learning in Location Recognition Based on Infrared Sensor Array
Ryo Ota, Qiangfu Zhao (UOA) KBSE2018-35 SC2018-30
​The aim of this paper is to reveal the usefulness and possibility of a sparse infrared sensor array for building a smar... [more] KBSE2018-35 SC2018-30
pp.43-46
SC 2018-06-01
16:20
Fukushima UBIC 3D Theater, University of Aizu Automatic labeling of sensor data based on object tracking and recognition
Tatsuya Hanyu, Qiangfu Zhao (Univ of Aizu) SC2018-8
 [more] SC2018-8
pp.43-46
SC 2018-06-02
09:25
Fukushima UBIC 3D Theater, University of Aizu Simultaneous recognition of human activities and locations based on sensor array
Shoichi Ichimura, Qiangfu Zhao (Univ. of Aizu) SC2018-11
In recent years, smart homes for senior care have attracted great attention in Japan. But a smart home has a privacy iss... [more] SC2018-11
pp.59-64
SC 2018-06-02
10:50
Fukushima UBIC 3D Theater, University of Aizu Arbitrary Location Estimation Using Infrared Sensors by Machine Learning
Ryo Ota, Qiangfu Zhao (Univ. of Aizu) SC2018-9
This paper is an extension of our earlier study related to construction of a resident-friendly smart home,
while protec... [more]
SC2018-9
pp.47-52
SC 2016-06-03
13:30
Fukushima The University of Aizu Analyzing Resident Location using Infrared Sensor Array
Yuta Kobiyama, Qiangfu Zhao, Kazuki Omomo (u-aizu) SC2016-2
The goal of this research is to construct a smart environment which preserves privacy information. The smart environment... [more] SC2016-2
pp.9-13
MICT, ASN, MoNA
(Joint)
2016-01-29
10:15
Kanagawa Hotel Okada Analysis of Family Electricity Data Obtained by Smart Meters
Kazuki Omomo, Yuta Kobiyama, Qiangfu Zhao (Univ. Aizu) ASN2015-90
In this paper, by using electricity data obtained by smart meters located in residential houses, we try to predict futur... [more] ASN2015-90
pp.63-68
SC 2015-03-27
13:55
Fukushima Aizu Univ. Simple Sensor Based Human Behavior Analysis for Smart Environment
Yuta Kobiyama, Qiangfu Zhao, Kazuki Omomo (u-aizu), Masato Taya (KDDI Lab) SC2014-16
In constructing Smart Environment, cameras or voice recorders are often used to collect data to analyze the life pattern... [more] SC2014-16
pp.13-18
SC 2015-03-27
15:30
Fukushima Aizu Univ. Analysis of Power Consumption Data by using Neural Network
Kazuki Omomo, Yuya Kaneda, Yuta Kobiyama (Univ. Aizu), Masato Taya (KDDI R&D LABS), Qiangfu Zhao (Univ. Aizu) SC2014-20
 [more] SC2014-20
pp.37-41
MBE, NC
(Joint)
2014-12-13
10:00
Aichi Nagoya University A 3-Valued Logic Model of Aware Systems
Qiangfu Zhao (Univ. of Aizu) NC2014-47
In recent years, various awareness systems have been implemented to improve the quality of services (QoS). The main purp... [more] NC2014-47
pp.19-23
AI, SC 2013-08-09
14:20
Tokyo National Institute of Informatics Multi-media Recommendation Based On A Dynamically Re-definable Ontology
Yu-Hsiang Lin (Univ. of Aizu), Rung-Ching Chen (Chaoyang Univ. of Tech.), Qiangfu Zhao (Univ. of Aizu) AI2013-15 SC2013-9
Context awareness has become an important issue in recent years. However, we still do not have a formal mechanism for so... [more] AI2013-15 SC2013-9
pp.1-6
AI, SC 2013-08-09
14:50
Tokyo National Institute of Informatics Feature Extraction and Selection for Detecting Manipulation Online Review
Ching-Yun Hsueh (Univ. of Aizu), Long-Sheng Chen (Chaoyang Univ. of Tech.), Qiangfu Zhao (Univ. of Aizu) AI2013-16 SC2013-10
with the proliferation of e-commerce, internet has become an excellent platform for gathering and sharing consumers’ per... [more] AI2013-16 SC2013-10
pp.7-12
AI 2012-06-21
14:00
Tokyo   A Study on Generating Rules in a Situational Aware Smart Room
Yu-Cheng Lin (Univ. of Aizu), Rung-Ching Chen (Chao-Yang Univ. of Tech.), Qiangfu Zhao (Univ. of Aizu) AI2012-2
Ontology is a semantic technology. It can be used to describe knowledge and resources. In recent years, ontology-based s... [more] AI2012-2
pp.7-12
PRMU 2007-12-13
10:00
Hyogo Kobe Univ. A Researcher Retrieval System Based on Bayesian Filter
Hiroyuki Nakmaura, Ryohei Shindo, Kazuya Nozawa, Taiga Watanabe, Qiangfu Zhao (Univ. of Aizu) PRMU2007-136
(To be available after the conference date) [more] PRMU2007-136
pp.7-12
PRMU 2007-12-13
15:00
Hyogo Kobe Univ. Pose Recognition with the NNC-Tree
Jie Ji, Naoki Tominaga, Akiha Iwase, Yoshihiko Watanabe, Kazuhiko Hirakuri, Qiangfu Zhao (Univ. of Aizu) PRMU2007-142
Abstract: Pose recognition is important in many practical applications. For example, a driver assistance system can dete... [more] PRMU2007-142
pp.37-42
NC 2007-01-26
14:10
Hokkaido Noboribetsu Manseikaku(Noboribetsu) Face Detection with Clustering Based LDA
Hiroyuki Kobayashi, Qiangfu Zhao (Univ. of Aizu)
 [more] NC2006-110
pp.59-64
NC, MBE
(Joint)
2006-12-05
14:30
Aichi Toyohashi Univ. of Tech. Fast Induction of NNC-Trees Based on Dimensionality Reduction
Naoki Tominaga, Qiangfu Zhao (Univ. of Aizu)
 [more] NC2006-81
pp.61-66
ITS, IE, ITE-ME, ITE-AIT, ITE-HI 2006-02-20
16:05
Hokkaido Hokkaido Univ. Information Hiding Technique Based on Morphing Technology
Satoshi Kondo, Qiangfu Zhao (Aizu Univ.), Hideyuki Takagi (Kyushu Univ.)
This paper proposes a new technique for information hiding based on morphing technology. In the proposed technique, the ... [more] ITS2005-72 IE2005-279
pp.145-150
PRMU 2004-11-19
13:45
Fukui   Generation of Decision Trees from the Distance Space Made by the NNC
Takaharu Kawatsure, Qiangfu Zhao (Aizu Univ.)
 [more] PRMU2004-114
pp.53-58
PRMU 2004-11-19
14:15
Fukui   An new method for efficient design of neural network trees
Qiangfu Zhao (U-Aizu)
Neural network tree (NNTree) is a hybrid learning model with the
overall structure being a decision tree (DT), and each... [more]
PRMU2004-115
pp.59-64
 Results 1 - 20 of 20  /   
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