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3TZ Collaborative Team Environments incorporating the Hybrid Holonic Architecture

Chaczko Zenon; Chiu Christopher; Klempous Ryszard; Nikodem Jan (IEEE Computer Society 2010, 2010)

The paper describes a business reengineering process (BPR) approach to address multi-timezone (3-timezone or 3TZ) collaborative teamwork environments by combining the Holonic architecture with the Zachman Metamodel Framework. ...

Accuracy Enhancement for License Plate Recognition

Zheng Lihong; He Xiangjian; Samali Bijan; Yang Laurence (IEEE Computer Society, 2010)

Automatic License Plate Recognition is useful for real time traffice management and surveillance. License plate recognition usually contains two steps, namely license plate detection/localization and character recognition. ...

An accurate algorithm for head detection based on XYZ and HSV hair and skin color models

Zhang Zui; Gunes Hatice; Piccardi Massimo (IEEE, 2008)

Head detection in images and videos plays an important role in a wide range of computer vision and multimedia applications. In this paper, we propose a new head detection algorithm that is capable of handling significantly ...

Action Recognition by Multiple Features and Hyper-sphere Multi-class SVM

Liu Jia; Yang Jie; Zhang Yi; He Xiangjian (IEEE Computer Society, 2010)

In this paper we propose a novel framework for action recognition based on multiple features for improve action recognition in videos. The fusion of multiple features is important for recognizing actions as often a single ...

Active MIB: Addressing Challenges of Wireless Mesh Networks

Chaczko Zenon; Chiang Frank; Braun Robin (Springer, 2007)

There is a list of very much needed object-oriented and autonomous paradigms that are currently absent from traditional implementations of MIBs in telecommunication systems. We argue that some of autonomous features can ...

Activity mining Challenges and prospects

Cao Longbing (Springer-Verlag, 2006)

Activity data accumulated in real life, e.g. in terrorist activities and fraudulent customer contacts, presents special structural and semantic complexities. However, it may lead to or be associated with significant ...

Adapting computer vision technology to low-cost peer-to-peer E-learning: Review, Issues and Solutions

Xu Richard; Jin Jesse S (ILEARN, 2005)

In traditional e-learning applications, the instructional video is usually unprocessed before student viewing. Recent advances in computervision technologies have leveraged the use of instructional video, so that the ...

Adaptive Feedback Algorithm for OFDMA Systems

Sandrasegaran Kumbesan; Patachaianand Rachod; Madani Faisal (IEEE Coomunication Society, 2011)

In this paper, a new feedback scheme is proposed for downlink OFDMA system with frequency domain packet scheduling to achieve multiuser diversity. Recent work showed that the multiuser diversity can be gained by using the ...

Adaptive Fusion of Gait and Face for Human Identification in Video

Geng Xin; Wang Liang; Li Ming; Wu Qiang; Smith-Miles Kate (IEEE, 2008)

Most work on multi-biometric fusion is based on static fusion rules which cannot respond to the changes of the environment and the individual users. This paper proposes adaptive multi-biometric fusion, which dynamically ...

Adaptive Inference-based Learning and Rule Generation Algorithms in Fuzzy Neural Network for Failure Prediction

Behbood Vahid; Lu Jie; Zhang Guangquan (IEEE, 2010)

highly desirable for decision makers and regulators in the finance industry. This study develops a new Failure Prediction (FP) approach which effectively integrates a fuzzy logic-based adaptive inference system with the ...

Adaptive K-Local Hyperplane (AKLH) Classifiers on Semantic Spaces to Determine Health Consumer Webpage Metadata

Chen G.; Warren J.; Yang Tao; Kecman Vojislav (IEEE, 2008)

In this paper we look at automated classification to determine a metadata attribute related to the 'tone' of a consumer-oriented breast cancer Webpage as medical or supportive. We use a semantic space model called hyperspace ...

Adaptive Local Hyperplane for Regression Tasks

Kecman Vojislav; Yang Tao (International Neural Network Society, 2009)

The paper introduces novel machine learning (data mining) algorithm called Adaptive Local Hyperplane (ALH) and it presents its application in solving regression problems. ALH algorithm has recently shown extremely good ...

Adaptive Local Hyperplanes for MTV affective analysis

Xu Min; Chen Ling; He Xiangjian; Xu Chengchao; Jin Jesse Sheng (ACM, 2010)

Affective analysis attracts increasing attention in multimedia domain since affective factors directly reflect audiences' attention, evaluation and memory. Existing study focuses on mapping low-level affective features to ...

Adaptive location management strategy combining distance-based update and sectional paging techniques

Tung Tracy; Jamalipour Abbas (IEEE Computer Society, 2003)

In this paper, we develop a new adaptive scheme in which an optimal distance-based update threshold is selected not only as a function of the call-to-mobility ratio, but also as a transitional directivity index w; a new ...

Adaptiveness in Well-Typed java bytecode verification

Jay Barry; Huang Freeman; Skillicorn David (Association for Computing Machinery, 2006)

Research on security techniques for Java bytecode has paid little attention to the security of the implementations of the techniques themselves, assuming that ordinary tools for programming, verification and testing ...

Adaptive Stick-Like Features for Human Detection Based on Multi-scale Feature Fusion Scheme

Wang Sheng; Du Ruo; Wu Qiang; He Xiangjian (IEEE Computer Society, 2010)

Human detection has been widely used in many applications. In the meantime, it is still a difficult problem with many open questions due to challenges caused by various factors such as clothing, posture and etc. By ...

Addressing the Confidentiality and Integrity of Assistive Care Loop Framework using Wireless Sensor Networks

Balasubramanian Appiah Venkatakrishnan; Hoang Doan (IEEE Computer Society, 2011)

In-house healthcare monitoring applications are continuous time-critical applications often built upon Body Area Wireless Sensor Networks (BAWSNs). Our Assistive Care Loop Framework (ACLF) is an in-house healthcare application ...

An adjustable combination of linear regression and modified probabilistic neural network for anti-spam filtering

Tran Tich Phuoc; Tsai Po-Hsiang; Jan Tony (IEEE, 2008)

Email is a commonly used tool for communication which allows rapid and asynchronous communication. The growing popularity and low cost of e-mails have made spamming an extremely serious problem today. Several anti-spam ...

Adjustment of Surveillance Video Systems by a Performance Evaluation Function

Concha Oscar; Garcia Jesus; Berlanga Antonio; Molina Jose (Springer-Verlag Berlin Heidelberg, 2005)

This paper proposes an evaluation metric for assessing the performance of a video tracking system. This metric is applied to adjust the parameters that regulates the video tracking system in order to improve the system ...

Aesthetic of Angular Resolution for Node-Link Diagrams: Validation and Algorithm

Huang Tony; Huang Mao Lin; Lin Chun-Cheng (IEEE Computer Society, 2011)

When visualizing graphs into node-link diagrams, angular resolution is often used as one of the aesthetic criteria measuring the diagram quality in terms of human comprehension. However, angualr resolution has not been ...

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