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performance of MIP/WLAN in Rapid Mobility Environments

Performance of MIP/WLAN in Rapid Mobility Environments

引用

ACS/IEEE International Conference on computer Systems and Applications

作者： Jun Tian A. Helal Mobile and Pervasive Computing Laboratory Computer & Information Science and Engineering Department University of Florida Gainesville FL USA

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Enabling a Plug-and-play integration of smart environments

Enabling a Plug-and-play integration of smart environments

引用

International Conference on information and Communication Technologies: From Theory to Applications, ICTTA

作者： B. Abdulrazak A. Helal Mobile & Pervasive Computing Laboratory Computer and Information Science and Engineering Department University of Florida Gainesville FL USA

In this paper, we describe our research activity on the integration of technologies in the environment of aging people who would benefit from using adapted systems and accessible environment to compensate, even partly, problems of daily activities. The paper focuses on the concept of a smart house in the box, which is an idea of creating a smart house that needs a minimum engineering expertise, that does not require a significant system integration phase, and which reduce the cost of deployment. The paper describes our method that enables an easy integration and management of assistive space. It discusses the method of an automatic self-integration of devices in the house, including mechanisms of describing/identifying devices, mechanisms of sensing/detecting device and the mechanisms of installing devices. In this paper we also present the integration of the system in the Gator Tech Smart House (GTSH), which is a real house in a retirement complex, created specially to fit the needs of ageing people

关键词： Pervasive computing Mobile computing Aging Senior citizens Auditory system Europe Space technology computer architecture information science Costs

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Economy-Based Data Replication Broker

Economy-Based Data Replication Broker

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IEEE International Conference on e-science and Grid computing

作者： Henry Lin J.H. Abawajy Rajkumar Buyya Grid Computing and Distributed Systems Laboratory Department of Computer Science and Software Engineering University of Melbourne Melbourne VIC Australia Grid and Pervasive Computing Laboratory School of Engineering and Information Technology Deakin University Geelong VIC Australia

ISBN: (纸本)9781424430116

Data replication is one of the key components in data grid architecture as it enhances data access and reliability and minimises the cost of data transmission. In this paper, we address the problem of reducing the overheads of the replication mechanisms that drive the data management components of a data grid. We propose an approach that extends the resource broker with policies that factor in user quality of service as well as service costs when replicating and transferring data. A realistic model of the data grid was created to simulate and explore the performance of the proposed policy. The policy displayed an effective means of improving the performance of the grid network traffic and is indicated by the improvement of speed and cost of transfers by brokers.

关键词： Resource management Australia Telecommunication traffic Power generation economics Cost accounting Protocols Grid computing Pervasive computing computer science Software

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Semantic-based Grid Resource Discovery and its Integration with the Grid Service Broker

Semantic-based Grid Resource Discovery and its Integration w...

引用

International Conference on Advanced computing and Communications (ADCOM)

作者： Thamarai Selvi Somasundaram R.A. Balachandar Vijayakumar Kandasamy Rajkumar Buyya Rajagopalan Raman N. Mohanram S. Varun Department of Information Technology Anna University Chennai India Grid Computing and Distributed Systems Laboratory Department of Computer Science and Software Engineering University of Melbourne VIC Australia Centre for Development of Advanced Computing Chennai India Centre for Development of Advanced Computing Bangalore India

This paper addresses the need of semantic component in the grid environment to discover and describe the grid resources semantically. We propose semantic grid architecture by introducing a knowledge layer at the top of Gridbus broker architecture and thereby enabling broker to discover resources semantically. The semantic component in the knowledge layer enables semantic description of grid resources with the help of ontology template. The ontology template has been created using Protege-OWL editor for different types of computing resources in the grid environment. The Globus Toolkit's MDS is used to gather grid resource information and Protege-OWL libraries are used to dynamically create knowledge base of grid resources. Algernon inference engine is used for interacting with the knowledge base to discover suitable resources.

关键词： Distributed computing Ontologies Middleware computer architecture computer networks Grid computing Libraries Engines Monitoring Aggregates

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Collateral Representative Subspace Projection Modeling for Supervised Classification

Collateral Representative Subspace Projection Modeling for S...

引用

International Conference on Tools for Artificial Intelligence (ICTAI)

作者： Thiago Quirino Zongxing Xie Mei-ling Shyu Shu-ching Chen Liwu Chang Department of Electrical and Computer Engineering University of Miami Coral Gables FL USA Distributed Multimedia Information System Laboratory School of Computing and Information Sciences Florida International University Miami FL USA Naval Research Laboratory Center for High Assurance Computer Systems Washington D.C. USA

In this paper, a novel supervised classification approach called collateral representative subspace projection modeling (C-RSPM) is presented. C-RSPM facilitates schemes for collateral class modeling, class-ambiguity solving, and classification, resulting a multi-class supervised classifier with high detection rate and various operational benefits including low training and classification times and low processing power and memory requirements. In addition, C-RSPM is capable of adaptively selecting nonconsecutive principal dimensions from the statistical information of the training data set to achieve an accurate modeling of a representative subspace. Experimental results have shown that the proposed C-RSPM approach outperforms other supervised classification methods such as SIMCA, C4.5 decision tree, decision table (DT), nearest neighbor (NN), KNN, support vector machine (SVM), I-NN best warping window DTW, I-NN DTW with no warping window, and the well-known classifier boosting method AdaBoost with SVM

关键词： Principal component analysis Support vector machines Support vector machine classification Intrusion detection Training data Classification tree analysis Bayesian methods Laboratories Distributed computing Power system modeling

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UNPCC: A Novel Unsupervised Classification Scheme for Network Intrusion Detection

UNPCC: A Novel Unsupervised Classification Scheme for Networ...

引用

International Conference on Tools for Artificial Intelligence (ICTAI)

作者： Zongxing Xie Thiago Quirino Mei-ling Shyu Shu-ching Chen Liwu Chang Department of Electrical and Computer Engineering University of Miami Coral Gables FL USA Distributed Multimedia Information System Laboratory School of Computing and Information Sciences Florida International University Miami FL USA Center for High Assurance Computer Systems Naval Research Laboratory Washington D.C. DC USA

The development of effective classification techniques, particularly unsupervised classification, is important for real-world applications since information about the training data before classification is relatively unknown. In this paper, a novel unsupervised classification algorithm is proposed to meet the increasing demand in the domain of network intrusion detection. Our proposed UNPCC (unsupervised principal component classifier) algorithm is a multiclass unsupervised classifier with absolutely no requirements for any a priori class related data information (e.g., the number of classes and the maximum number of instances belonging to each class), and an inherently natural supervised classification scheme, both which present high detection rates and several operational advantages (e.g., lower training time, lower classification time, lower processing power requirement, and lower memory requirement). Experiments have been conducted with the KDD Cup 99 data and network traffic data simulated from our private network testbed, and the promising results demonstrate that our UNPCC algorithm outperforms several well-known supervised and unsupervised classification algorithms

关键词： Intrusion detection Classification algorithms Clustering algorithms computer networks Distributed computing Laboratories Training data Traffic control Testing Machine learning algorithms

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Spectrum Analysis Based onWindows with Variable Widths for Online Signature Verification

Spectrum Analysis Based onWindows with Variable Widths for O...

引用

International Conference on Pattern Recognition

作者： Zhong-hua Quan De-shuang Huang Xiao-lei Xia M.R. Lyu Tat-Ming Lok Intelligent Computing Laboratory Hefei Institute of Intelligent Machines CAS. and Department of Automation University of Science and Technology Hefei Anhui China Intelligent Computing Laboratory Hefei Institute of Intelligent Machines CAS Hefei Anhui China Intelligent Computing Laboratory Hefei Institute of Intelligent Machines CAS China Computer Science & Engineering Department Chinese University of Hong Kong Hong Kong China Information Engineering Department Chinese University of Hong Kong Hong Kong China

ISBN: (纸本)0769525210

In this paper, an online signature verification scheme based on spectrum analysis and Mahalanobis decision is proposed. We firstly divided signatures to a number of frames with variable widths according to the characteristics of the time sequences, and then employed the fast Fourier transformation (FFT) to extract the spectrum of signatures. The distance between the Fourier coefficient within the corresponding frames is computed, and the Mahalanobis decision making is employed. Experimentation demonstrates that spectrum analysis based on windows with variable widths is effective for online signature signals

关键词： Handwriting recognition Machine intelligence Content addressable storage Automation computer science Decision making information analysis Signal analysis Signal processing Law enforcement

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Search Space Analysis of Recurrent Spiking and Continuous-time Neural Networks

Search Space Analysis of Recurrent Spiking and Continuous-ti...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： M. Ventresca B. Ombuki Systems Design Engineering and member of the Pattern Analysis and Machine Intelligence Laboratory University of Waterloo Waterloo ONT Canada Department of Computing and Information Science University of Guelph Guelph ONT Canada Computer Science Department Brock University Saint Catharines ONT Canada

The problem of designing recurrent continuous-time and spiking neural networks is NP-Hard. A common practice is to utilize stochastic searches, such as evolutionary algorithms, to automatically construct acceptable networks. The outcome of the stochastic search is related to its ability to navigate the search space of neural networks and discover those of high quality. In this paper we investigate the search space associated with designing the above recurrent neural networks in order to differentiate which network should be easier to automatically design via a stochastic search. Our investigation utilizes two popular dynamic systems problems; (1) the Henon map and (2) the inverted pendulum as a benchmark.

关键词： Neural networks Recurrent neural networks Stochastic processes Chaotic communication Neurons Biological system modeling Evolutionary computation Navigation Helium Visualization

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A Semi-Reversible Watermark for Medical Image Authentication

A Semi-Reversible Watermark for Medical Image Authentication

引用

Conference on Distributed Diagnosis and Home Healthcare D2H2 Transdisciplinary

作者： F. Ahmed I.S. Moskowitz Department of Electrical Engineering & Computer Science Catholic University of America Washington D.C. DC USA High Assurance Computing Systems Naval Research Laboratory Inc. Washington D.C. DC USA

This paper addresses the secure storage and transmission of medical informatics in rapidly growing applications such as teleradiology and telesurgery. In particular, we propose a frequency domain digital watermarking technique that can be used to authenticate medical images in a distributed diagnosis and home healthcare environment. The most significant result of our method is the semi-reversibility property that undoes most of the degradation attributable to the watermarking process

关键词： Watermarking Biomedical imaging Authentication Biomedical informatics Medical diagnostic imaging information security Medical services Degradation Protection Frequency domain analysis

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CNN Wave computing: Theory, Architectures, Implementations and Applicaions

CNN Wave Computing: Theory, Architectures, Implementations a...

引用

IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： Marco Gilli Csaba Rekeczky Bertram Shi Department of Electronics Politecnico di Turino Torino Italy Analogic and Neural Computing Systems Laboratory of the Computer and Automation Information Technology Department Institute of the Hungarian Academy of Sciences Budapest Hungary Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Kowloon Hong Kong China

A cellular neural/nonlinear network (CNN) is any spatial arrangement of mainly locally coupled cells, where each cell is a dynamical system which has an input, an output and a state that evolves according to some prescribed dynamical laws. Since the CNN was first introduced in 1988, research in this field has developed rapidly. The goal of this tutorial is to provide participants with a snapshot of the current state of the art and research trends. It covers the broad multi-disciplinary areas of CNN research, from theoretical aspects to applications. The presenters have experience ranging from theoretical analysis of CNN dynamics, VLSI implementation and system level applications

关键词： Cellular neural networks computer architecture computer networks Very large scale integration Analog computers computer interfaces computer vision Biological system modeling Nonlinear dynamical systems computer industry

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