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2011 American Control Conference (ACC)

作者： Wenling Li Yingmin Jia Junping Du Fashan Yu Seventh Research Division and the Department of Systems and Control Beihang University Beijing China Key Laboratory of Mathematics Informatics and Behavioral Semantics (LMIB) Ministry of Education SMSS Beihang University Beijing China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo Henan China

This paper presents a Gaussian mixture probability hypothesis density (GM-PHD) smoother for tracking multiple maneuvering targets that follow jump Markov models. Unlike the generalization of the multiple model GM-PHD filters, our aim is to approximate the dynamics of the linear Gaussian jump Markov system (LGJMS) by a best-fitting Gaussian (BFG) distribution so that the GM-PHD smoother can be carried out with respect to an approximated linear Gaussian system. Our approach is inspired by the recognition that the BFG approximation provides an accurate performance measure for the LGJMS. Furthermore, the multiple model estimation is avoided and less computational cost is required. The effectiveness of the proposed smoother is verified with a numerical simulation.

关键词： Target tracking Approximation methods Markov processes Covariance matrix Smoothing methods Radar tracking Computational efficiency

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XML Element Recommendation by Semantic Ranking

XML Element Recommendation by Semantic Ranking

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International Conference on computer and Automation engineering

作者： Sutheetutt Vacharaskunee Sarun Intakosum Software Systems Engineering Laboratory Department of Mathematics and Computer Science Faculty of Science King Mongkut's Institute of Technology Ladkrabang

ISBN: (纸本)9781424455690

From the strong point of XML that allows document owners to describe their documents in their own format, it is difficult to search information if those XML documents use different formats. Moreover, users might not retrieve all relevant information from differently formatted XML documents. To allow users to retrieve all relevant results, users need to have as many as queries for all possible formats. SXER (Semantic Ranking for XML Element Recommendation) is an idea to make XML documents easier for searching. It receives XML document as an input, checks all possible semantics for each element, and checks those semantic elements to find which element (word) should be used. The output is a recommendation for each element of input XML document.

关键词： Semantic Ranking for XML Element Recommendation XML WordCount WordNet

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Comparing performances of logistic regression, decision trees, and neural networks for classifying heart disease patients

Comparing performances of logistic regression, decision tree...

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computer Information systems and Industrial Management Applications (CISIM)

作者： Anchana Khemphila Veera Boonjing Software Systems Engineering Laboratory Department of Mathematics and Computer Science Faculty of Science King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

In this study, performances of classification techniques were compared in order to predict the presence of the patients getting a heart disease. A retrospective analysis was performed in 303 subjects. We compared the performance of logistic regression(LR), decision trees(DTs), and Artificial neural networks (ANNs). The variables were medical profiles are age, Sex, Chest Pain Type, Blood Pressure, Cholesterol, Fasting Blood Sugar, Resting ECG, Maximum Heart Rate, Induced Angina, Ole Peak, Slope, Number Colored Vessels, Thal and Concept Class. We have created the model using logistic regression classifiers, artificial neural networks and decision trees that they are often used for classification problems. Performances of classification techniques were compared using lift chart and error rates. In the result, artificial neural networks have the greatest area between the model curve and the baseline curve. The error rates are 0.22, 0.198, 0.21, respectively for logistic regression, artificial neural networks and decision trees. The neural networks exhibited sensitivity of 81.1%, specificity of 78.7% and accuracy of 80.2%, while the decision tree provided the prediction performance with a sensitivity, specificity and accuracy of 81.7%, 76.0% and 79.3%. And the logistic regression provided the prediction performance with a sensitivity, specificity and accuracy of 81.2%,73.1% and 77.7% Artificial neural networks have the least of error rate and has the highest accuracy, therefore Artificial neural networks is the best technique to classify in this data set.

关键词： Artificial neural networks Heart Logistics Regression tree analysis Data models Data mining

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XML Path Matching for Different Hierarchy Order of Elements in XML Documents

XML Path Matching for Different Hierarchy Order of Elements ...

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ACIS International Conference on software engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD)

作者： Sutheetutt Vacharaskunee Sarun Intakosum Department of Mathematics and Computer Science Faculty of Science Software Systems Engineering Laboratory King Mongkut''s Institute of Technology Ladkrabang Bangkok Thailand

ISBN: (纸本)9781424474226;9780769540887

XML documents allow document owners to create their documents in their own formats (element names and structure). The same information might be described in several ways. To find the similarity between XML documents which use different formats, one method is path similarity detection. The recently approach is PathSim. The previous approach can detect the similarity rate between two XML paths in case those two XML paths are in the same hierarchy order of elements that are semantic with each other. If XML documents use different elements hierarchy order, that approach has a low similarity rate. To improve the previous approach, PathMatch is introduced. PathMatch uses the edit distance algorithm to find the semantic similarity rate between element names and a cost matrix model to find the similarity rate between two XML paths. On the result, PathMatch has a higher similarity rate than the previous approach in case those two XML paths contain a different hierarchy order of elements that are semantic with each other. Moreover, in case two XML paths contain the same hierarchy order, PathMatch has the same similarity rate as the previous one.

关键词： XML Costs Change detection algorithms software engineering Artificial intelligence Distributed computing software systems systems engineering and theory laboratories mathematics

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XER: A Recommendation for XML Element

XER: A Recommendation for XML Element

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International Conference on Information Technology: New Generations (ITNG)

The strong point of the XML is that it allows document owners to describe their documents in their own format (structure and element names). There might be the same information has been describe in various ways. When user wants to search some information from XML documents, user might not retrieve all related results because of the difference of elements (tag names). To retrieve all related results, user needs to have queries for all possible elements. XML Element Recommendation (XER) is an idea to make XML documents easier for searching. It receives XML document as an input and compares that input with XML documents from database. It compares word similarity and semantic of each element. For semantic similarity of each element, it checks those elements to find which element (word) should be used by using word ranking (most common words). The output is a recommendation for each element of input XML document.

关键词： XML Mobile communication Mobile ad hoc networks Routing protocols Ad hoc networks Earthquakes Network topology Motion analysis Vehicle dynamics Costs

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XML Document Recommendation by Using Case Based Reasoning

XML Document Recommendation by Using Case Based Reasoning

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ACIS International Conference on software engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD)

作者： Sutheetutt Vacharaskunee Sarun Intakosum Software Systems Engineering Laboratory Department of Mathematics and Computer Science Faculty of Science King Mongkut''s Institute of Technology Ladkrabang Bangkok Thailand

ISBN: (纸本)9781424474226;9780769540887

Case Based Reasoning (CBR) is the process of solving new problem based on the solutions of similar previous problems. XML is a markup language that allows document owners describe their data in their own formats. There might be the same information has been described in various ways. This makes searching those information from different formats difficult. CXDR (CBR for XML Document Recommendation) is an idea to make searching XML documents easier. CXDR applies CBR framework to collect the mostly use XML document and recommend it to its user. CBR in CXDR consists of two parts, cases and knowledge. The case is XML documents and the knowledge is an XML document recommendation. The recommendation from CXDR is the most use XML element names and structure.

关键词： XML Keyword search Information retrieval Markup languages Database languages software engineering Artificial intelligence Distributed computing software systems systems engineering and theory

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software Language engineering: Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2010年 5969 LNCS卷 V-VI页

作者： Van Den Brand, Mark Gaševíc, Dragan Gray, Jeff Dept. of Mathematics and Computer Science Software Engineering and Technology Eindhoven University of Technology Den Dolech 2 5612 AZ Eindhoven Netherlands School of Computing and Information Systems Athabasca University 1 University Drive Athabasca AB T9S 3A3 Canada Department of Computer Science University of Alabama P.O. Box 870290 Tuscaloosa AL United States

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On the application of predictive control techniques for adaptive performance management of computing systems

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IEEE Transactions on Network and Service Management 2009年第4期6卷 212-225页

作者： Abdelwahed, Sherif Bai, Jia Su, Rong Kandasamy, Nagarajan Department of Electrical and Computer Engineering Mississippi State University Mississippi State MS 39759 United States Institute for Software Integrated Systems Vanderbilt University Nashville TN 37235 United States Department of Mathematics and Computer Science Eindhoven Univ. of Technology Eindhoven Netherlands Department of Electrical and Computer Engineering Drexel University Philadelphia PA 19104 United States

This paper addresses adaptive performance management of real-time computing systems. We consider a generic model-based predictive control approach that can be applied to a variety of computing applications in which the system performance must be tuned using a finite set of control inputs. The paper focuses on several key aspects affecting the application of this control technique to practical systems. In particular, we present techniques to enhance the speed of the control algorithm for real-time systems. Next we study the feasibility of the predictive control policy for a given system model and performance specification under uncertain operating conditions. The paper then introduces several measures to characterize the performance of the controller, and presents a generic tool for system modeling and automatic control synthesis. Finally, we present a case study involving a real-time computing system to demonstrate the applicability of the predictive control framework. © 2009 IEEE.

关键词： Real time systems

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Architecture Based Reliability and Testing Estimation for Mobile Applications

Architecture Based Reliability and Testing Estimation for Mo...

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作者： Wadhwani, Vickey Memon, Fiaz Hameed, M. Muzaffar Blekinge Institute of Technology Department of Systems and Software Engineering Sweden University of Sindh Institute of Mathematics and Computer Science Jamshoro Pakistan

ISBN: (纸本)9783540898528

We propose an architecture-based testing and reliability framework for mobile applications. During our literature study, we explored some of the software testing and reliability techniques available, as well as investigating the techniques that are being used by industry. This paper presents case studies of two companies that are developing mobile applications. These are helpful for finding the strengths and weaknesses of existing software testing and reliability techniques. In light of these strengths and weaknesses, we propose a framework of architecture-based software testing and reliability estimation for mobile applications. © Springer-Verlag Berlin Heidelberg 2008.

关键词： software reliability

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Measuring Size of Business Process From Use Case Description

Measuring Size of Business Process From Use Case Description

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2009 2nd IEEE International Conference on computer science and Information Technology（ICCSIT 2009）

作者： Kanjan Dhammaraksa Sarun Intakosum Software Systems Engineering Laborator Department of Mathematics and Computer Science Faculty of ScienceKing Mongkut's Institute of Technology LadkrabangBangkokThailand

The purpose of this paper is to present a new size metric for business process *** metric aims to measure size of process from use case *** metric consists of four series to support four perspectives of business process:functional,behavioral,informational and *** addition,the guidance for pointing to related use case elements is included in each *** this paper,each size of perspective which measured from the new metric can use for indicating the number of business process elements are represented by UML-activity *** the example of the metric is only one,it is possible to apply for another modeling method such as BPMN,Petri Net and EPC.

关键词： Size metric,Business process,Use case description

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