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Towards a Metrics Suite for Measuring Composite Service Granularity Level Appropriateness

Towards a Metrics Suite for Measuring Composite Service Gran...

引用

IEEE World Congress on Services (SERVICES)

作者： A. Khoshkbarforoushha R. Tabein P. Jamshidi F. Shams Automated Software Engineering Research Group Electrical and Computer Engineering Faculty Shahid Beheshti University Tehran Iran Department of Computer and Systems Sciences Royal Institute of Technology Stockholm Sweden

One of the prominent principles of designing services is the matter of how abstract services should be i.e. granularity. Since service-oriented analysis and design methods lack on providing a quantitative model for service granularity level evaluation, identification of optimally granular services is the key challenge in service-oriented solution development. This article through a systematic process proposes a model namely Weighted Granularity Level Appropriateness (WGLA) which leverages and consolidates four metrics to constitute quantitative basis for granularity appropriateness analysis. These metrics are, indeed, the four quantified attributes of service granularity including business value, reusability, context-independency, and complexity. Our preliminary controlled experiment confirms the correctness of the quantitative model. In fact, by adopting WGLA metric, service granularity appropriateness analysis could be conduct quantitatively that leads to realize an optimized service-oriented solution in terms of its granularity.

关键词： Business Measurement Complexity theory Analytical models Service oriented architecture software

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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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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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XER: A Recommendation for XML Element

XER: A Recommendation for XML Element

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International Conference on Information technology: New Generations (ITNG)

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

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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Fuzzy inference systems in MR image processing-a review

Fuzzy inference systems in MR image processing-a review

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International Conference on Bioinformatics and Biomedical technology (ICBBT)

作者： X.X. Yin B. W.-H. Ng D. Abbott W. Jia K. Ramamohanarao Computer & Network Engineering and School of Electrical and Computer Engineering Royal Melbourne Institute of Technology VIC Australia School of Electrical & Electronic Engineering University of Adelaide SA Australia Department of Computer Science & Software Engineering University of Melbourne VIC Australia Faculty of Engineering and Information Technology University of Technology NSW Australia

ISBN: (纸本)9781424467754;9781424467761

Fuzzy inference systems are of great interest to provide a consistent mathematical framework for the representation of imprecision in relation to objects, relationships, knowledge and aims, and are viewed as powerful tools for reasoning and decision-making. In this paper, we survey several fuzzy approaches in magnetic resonances image processing, with an aim to develop and validate multidimensional segmentation and filtering methodology for future research. We also briefly review a number of advances of fuzzy set theory in the MR image processing application domain.

关键词： Fuzzy systems Magnetic separation Image processing Fuzzy reasoning Decision making Magnetic domains Magnetic resonance imaging Multidimensional systems Image segmentation Filtering

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Preferences of handwriting recognition on mobile information systems in medicine: Improving handwriting algorithm on the basis of real-life usability research

Preferences of handwriting recognition on mobile information...

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International Conference on e-Business

作者： Andreas Holzinger Martin Schlögl Bernhard Peischl Matjaz Debevc Statistics and Documentation Medical University Graz Graz Austria Institute of Software Technology Graz University of Technology Graz Austria Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Austria

Streamlining data acquisition in mobile health care in order to increase accuracy and efficiency can only benefit the patient. The company FERK-Systems has been providing health care information systems for various German medical services for many years. The design and development of a compatible front-end system for handwriting recognition, particularly for use in ambulances was clearly needed. While handwriting recognition has been a classical topic of computer science for many years, many problems still need to be solved. In this paper, we report on the study and resulting improvements achieved by the adaptation of an existing handwriting algorithm, based on experiences made during medical rescue missions. By improving accuracy and error correction the performance of an available handwriting recognition algorithm was increased. However, the end user studies showed that the virtual keyboard is still the overall preferred method compared to handwriting, especially among participants with a computer usage of more than 30 hours a week. This is possibly due to the wide availability of the QUERTY/QUERTZ keyboard.

关键词： Handwriting recognition Character recognition Keyboards Accuracy Calibration Writing Medical services

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I-superior approach to study the stability of logistic map

I-superior approach to study the stability of logistic map

引用

International Conference on Mechanical and Electrical technology (ICMET)

作者： Mamta Rani Saurabh Goel Faculty of Computer Systems & Software Engineering Universiti Malaysia Pahang Kuantan Pahang Malaysia Research Scholar Department Of Computer Science Galgotias Institute of Management Technology Greater Noida India

Verlhust logistic map f(x) = r x (1 - x) is a widely studied and applicable model in discrete dynamical system. Its behavior has been, extensively, studied in Picard orbit and recently studied in superior orbit. Rani et. al. [22] and [25] has shown that in superior orbit, logistic map is stable for larger values of r than that of Picard orbit. In this paper, we have attempted to make the map stable for further larger values of r via I-superior iterates.

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An evolutionary multi-objective approach for dynamic mission planning

An evolutionary multi-objective approach for dynamic mission...

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Congress on Evolutionary Computation

作者： Lam Thu Bui Zbignew Michalewicz Department of Software Engineering Faculty of IT Quy Don University Vietnam Polish Japanese Institute of Information Technology Warsaw Poland School of Computer Science University of Adelaide Adelaide SA Australia Institute of Computer Science Polish Academy of Sciences Warsaw Poland

In this paper, we propose a computational approach for adaptation in mission planning, an important process in the chain of command and control. In this area, it has been highly regarded that military missions are often dynamic and uncertain. This characteristic comes from the nature of battlefields where the factors of enemies and terrains are not easy to be determined. Hence, it is necessary to generate plans that can adapt quickly to the changes during the missions, while avoiding paying a high cost. In addressing such an adaptation process, the issue of multi-objectivity can not be avoided. Our approach first mathematically models the dynamic planning problem with two criteria: the mission execution time and the cost of operations. Based on this quantification, we introduce an evolutionary multi-objective mechanism to adapt the current solution to new situations resulted from changes. We carried out a case study on this newly proposed approach. A modified military scenario of a mission was used for testing. The obtained results strongly support our proposal in finding adaptive solution dealing with the changes.

关键词： Planning Optimal scheduling Uncertainty Robustness Evolutionary computation Markov processes

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Sequential DE enhanced by neighborhood search for Large Scale Global Optimization

Sequential DE enhanced by neighborhood search for Large Scal...

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Congress on Evolutionary Computation

作者： Hui Wang Zhijian Wu Shahryar Rahnamayan Dazhi Jiang State Key Laboratory of Software Engineering Wuhan University of China Wuhan China Faculty of Engineering and Applied Science Ontario Institute of Technology Oshawa ONT Canada Department of Computer Science Shantou University Shantou China

In this paper, the performance of a sequential Differential Evolution (DE) enhanced by neighborhood search (SDENS) is reported on the set of benchmark functions provided for the CEC2010 Special Session on Large Scale Global Optimization. The original DENS was proposed in our previous work, which differs from existing works which are utilizing the neighborhood search in DE, such as DE with neighborhood search (NSDE) and self-adaptive DE with neighborhood search (SaNSDE). In SDENS, we focus on searching the neighbors of individuals, while the latter two algorithms (NSDE and SaNSDE) work on the adaption of the control parameters F and CR. The proposed algorithm consists of two following main steps. First, for each individual, we create two trial individuals by local and global neighborhood search strategies. Second, we select the fittest one among the current individual and the two created trial individuals as a new current individual. Additionally, sequential DE (DE with one-array) is used as a parent algorithm to accelerate the convergence speed in large scale search spaces. The simulation results for twenty benchmark functions with dimensionality of one thousand are reported.

关键词： Optimization Benchmark testing Convergence Chromium Particle swarm optimization Search problems Topology

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