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An Efficient Syntactic Web Service Composition Algorithm Based on the Planning Graph Model

An Efficient Syntactic Web Service Composition Algorithm Bas...

引用

IEEE International Conference on Web Services (ICWS)

作者： Xianrong Zheng Yuhong Yan Faculty of Computer Science University of New Brunswick Fredericton NB Canada Department Computer Science and Software Engineering Concordia University Montreal QUE Canada

In this paper, we have studied a common Web service composition problem, the syntactic matching problem, where the output parameters of a Web service can be used as the input parameters of another Web service. Many automatic Web service composition algorithms based on AI planning techniques have been proposed. However, most of them do not scale well when the number of Web services increases, or may miss finding a solution even if one exists. The planning graph, another AI planning technique, provides a unique search space. We have found that when we model the Web service composition problem as a planning graph, it actually provides a trivial solution to the problem. Instead of following the usual way to find a solution by a backward search, we put our efforts into removing the redundant Web services contained in the planning graph. Our approach can find a solution in polynomial time, but with possible redundant Web services. We have tested our algorithms on the data set used in ICEBEpsila05 and compared our results with existing methods.

关键词： Web services Artificial intelligence computer science Polynomials Testing Niobium software engineering Strips Strategic planning Impedance matching

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Quantitative approaches in object-oriented software engineering

引用

21st European Conference on Object-Oriented Programming, ECOOP 2007

作者： Guéhéneuc, Yann-Gaël Lange, Christian F. J. Sahraoui, Houari A. Falcone, Giovanni Lanza, Michele Calero, Coral Brito E Abreu, Fernando Department of Computer Science and Operations Research Université de Montréal Canada Software Engineering and Technology Group Eindhoven University of Technology Netherlands Lehrstuhl für Softwaretechnik Universität Mannheim Germany Faculty of Informatics University of Lugano Switzerland Department of Computer Science Escuela Superior de Informatica-Castilla-La Mancha University Spain Department of Computer Science Lisbon New University Portugal

ISBN: (纸本)3540781943

The QAOOSE 2007 workshop brought together, for half day, researchers working on several aspects related to quantitative evaluation of software artifacts developed with the object-oriented paradigm and related technologies. Ideas and experiences were shared and discussed. This report includes a summary of the technical presentations and subsequent discussions raised by them. Exceptionally this year, one of the founders of the workshop, Horst Zuse, gave a keynote on the Theoretical Foundations of Object-Oriented Measurement. Three out of the four submitted position papers were presented, covering different aspects such as measuring inconsistencies, visualizing metric values, and assessing the subjective quality of systems. In the closing session, the participants discussed open issues and challenges arising from researching in this area and tried to forecast what will be hot research topics in the short and medium terms. © 2008 Springer-Verlag Berlin Heidelberg.

关键词： Object oriented programming

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March Test BDN: A new March Test for dynamic faults

March Test BDN: A new March Test for dynamic faults

引用

IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR

作者： Alberto Bosio Giorgio Di Natale Languages Informatics Systems and Software Engineering Department Faculty of Computer Science Université Montpelher II Montpellier France

High-density components and process scaling lead more and more to the occurrence of new class of dynamic faults, especially in Static Random Access Memories (SRAMs), thus requiring more and more sophisticated test algorithms. Among the different types of algorithms proposed for testing SRAMs, March Tests have proven to be the most performing due to their low complexity, their simplicity and regular structure. Several March Tests for dynamic faults have been published, with different fault coverage. In this paper we propose March BDN, an extended version of the March AB. We will prove that it is able to increase the fault coverage in order to target latest dynamic faults. We show that the proposed March BDN has the highest known fault coverage compared to March Tests with the same complexity.

关键词： Circuit faults Heuristic algorithms Random access memory Decoding Complexity theory Arrays Taxonomy

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N-Most Interesting Closed Itemset Mining

N-Most Interesting Closed Itemset Mining

引用

International Conference on Convergence Information Technology

作者： Panida Songram Veera Boonjing Department of Mathematics and Computer Science Faculty of Science King Mongkuts Institute of Technology Ladkrabang Software Systems Engineering Laboratory Bangkok Thailand Department of Computer Science Faculty of Informatics Mahasarakham University Mahasarakham Thailand

In this paper, we propose an efficient algorithm, NCLOSED, for mining the N k-closed itemsets with the highest supports for 1 up to a certain k max value. The algorithm adopts best-first search strategy to generate closed itemsets with highest remaining supports. It does not keep closed itemsets mined in main memory to ensure that they are really closed. This is because this algorithm can directly generate closed itemsets. Moreover, duplicated closed itemsets are detected and discarded from this algorithm.

关键词： Itemsets Data mining computer science Information technology software systems Systems engineering and theory Laboratories Mathematics Informatics software algorithms

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An Automatic Elaborate Requirement Specification By Using Hierarchical Text Classification

An Automatic Elaborate Requirement Specification By Using Hi...

引用

International Conference on computer science and software engineering

作者： Jantima Polpinij Aditya Ghose Department of Computer Science Faculty of Informatics Mahasarakham University Kantarawichai Mahasarakham Thailand Decision Systems Lab School of Computer Science and Software Engineering Faculty of Informatics University of Wollongong Wollongong Australia

ISBN: (纸本)9781424439027

Ambiguity is a major problem of software errors because much of the requirements specification is written in a natural language format. Therefore, it is hard to identify consistencies because this format is too ambiguous for specification purposes. This paper aims to propose a method for handling requirement specification documents which have a similar content to each other through a hierarchical text classification. The method consists of two main processes of classification: heavy classification and light classification. The heavy classification is to classify the requirement specification documents having similar content together. Meanwhile, light classification is to elaborate specification requirement documents by using the Euclidean distance. Finally, slimming down the number of requirements specification through hierarchical text classification classifying may yield a specification which is easier to understand. That means the proposed method is more effective for reducing and handling in the requirements specification.

关键词： Text categorization computer science software engineering Euclidean distance Quality assessment Informatics computer errors Natural languages Document handling Australia

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Determination of QSAR of aldose reductase inhibitors using an RBF network

Determination of QSAR of aldose reductase inhibitors using a...

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： J. C. Patra R.W. S. Cheong P. K. Meher G. Chakraborty School of Computer Engineering Nanyang Technological University Singapore Faculty of Software and Information Science Iwate Prefectural University Japan

Increasingly drug discovery is turning to in-silico methods to find potential enzyme or protein-protein inhibitors. The quantitative structure-activity relationship (QSAR) is commonly used to find potential inhibitors in the search for new drugs. In this paper we propose to use a radial basis function (RBF) network to determine the QSAR of aldose reductase inhibitors (ARIs). We find that the RBF network shows promising results of predicting the bioactivities of the ARIs.

关键词： Inhibitors Radial basis function networks Sugar Biochemistry Drugs Hydrogen Diabetes Pharmaceutical technology Information science Turning

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A Hybrid Approach to Selecting Susceptible Single Nucleotide Polymorphisms for Complex Disease Analysis

A Hybrid Approach to Selecting Susceptible Single Nucleotide...

引用

International Conference on BioMedical engineering and Informatics (BMEI)

作者： Pengyi Yang Zili Zhang Intelligent Software and Software Engineering Laboratory Faculty of Computer and Information Science Southwest University Chongqing China School of Engineering and Information Technology Deakin University Geelong VIC Australia

An increasingly popular and promising way for complex disease diagnosis is to employ artificial neural networks (ANN). Single nucleotide polymorphisms (SNP) data from individuals is used as the inputs of ANN to find out specific SNP patterns related to certain disease. Due to the large number of SNPs, it is crucial to select optimal SNP subset and their combinations so that the inputs of ANN can be reduced. With this observation in mind, a hybrid approach - a combination of genetic algorithms (GA) and ANN (called GANN) is used to automatically determine optimal SNP set and optimize the structure of ANN. The proposed GANN algorithm is evaluated by using both a synthetic dataset and a real SNP dataset of a complex disease.

关键词： Diseases Artificial neural networks Biological cells Testing Genetic algorithms Biomedical engineering Data analysis Pattern analysis Neural networks Biomedical informatics

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An Ontology-Based Sentiment Classification Methodology for Online Consumer Reviews

An Ontology-Based Sentiment Classification Methodology for O...

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IEEE WIC ACM International Conference on Web Intelligence (WI)

作者： Jantima Polpinij Aditya K. Ghose Decision Systems Laboratory School of Computer Science and Software Engineering Faculty of Informatics University of Wollongong Wollongong NSW Australia

This paper presents a method of ontology-based sentiment classification to classify and analyse online product reviews of consumers. We implement and experiment with a support vector machines text classification approach based on a lexical variable ontology. After testing, it could be demonstrated that the proposed method can provide more effectiveness for sentiment classification based on text content.

关键词： Ontologies Motion pictures Support vector machines Text categorization Intelligent agent Support vector machine classification Electronic commerce Internet Web search Automotive engineering

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Legendre-FLANN-based nonlinear channel equalization in wireless communication system

Legendre-FLANN-based nonlinear channel equalization in wirel...

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： J. C. Patra W. C. Chin P. K. Meher G. Chakraborty School of Computer Engineering Nanyang Technological University Singapore Faculty of Software and Information Science Iwate Prefectural University Japan

In this paper, we present the result of our study on the application of artificial neural networks (ANNs) for adaptive channel equalization in a digital communication system using 4-quadrature amplitude modulation (QAM) signal constellation. We propose a novel single-layer Legendre functional-link ANN (L-FLANN) by using Legendre polynomials to expand the input space into a higher dimension. A performance comparison was carried out with extensive computer simulations between different ANN-based equalizers, such as, radial basis function (RBF), Chebyshev neural network (ChNN) and the proposed L-FLANN along with a linear least mean square (LMS) finite impulse response (FIR) adaptive filter-based equalizer. The performance indicators include the mean square error (MSE), bit error rate (BER), and computational complexities of the different architectures as well as the eye patterns of the various equalizers. It is shown that the L-FLANN exhibited excellent results in terms of the MSE, BER and the computational complexity of the networks.

关键词： Wireless communication Bit error rate Artificial neural networks Computational complexity Adaptive systems Adaptive equalizers Digital communication Amplitude modulation Quadrature amplitude modulation Constellation diagram

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Development of intelligent sensors using Legendre functional-link artificial neural networks

Development of intelligent sensors using Legendre functional...

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IEEE International Conference on Systems, Man and Cybernetics

作者： J. C. Patra P. K. Meher G. Chakraborty School of Computer Engineering Nanyang Technological University Singapore Faculty of Software and Information Science Iwate Prefectural University Japan

Different types of sensors are used to control and monitor complex systems in many applications, where the environmental parameters, e.g., temperature, humidity, etc., undergo large variations. In such conditions, the sensor's output may be erroneous and the system being controlled may malfunction. The need of intelligent sensors arise in such situations. These sensors should be capable of compensating for the adverse effects of the environmental conditions on the sensor output and linearization of sensor response, in order to provide correct readout. In this paper, we propose a novel computationally efficient Legendre functional-link artificial neural network (L-FLANN) to develop a smart sensor that can compensate for the adverse effects of the environmental conditions. By taking two types of environmental models and a pressure sensor, we have shown with extensive computer simulations that the proposed smart sensor is computationally efficient with respect to a multi-layer perceptron (MLP)-based sensor model and capable of satisfactory linearization of sensor output. This smart sensor produces only plusmn0.5% full-scale error between the actual and estimated output for the two selected environmental models under a temperature variation of -50 to 200degC.

关键词： Intelligent sensors Artificial neural networks Temperature sensors Control systems Sensor systems and applications Humidity control Temperature control Condition monitoring computer networks computer simulation

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