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An evaluation of current approaches for Web service composition

An evaluation of current approaches for Web service composit...

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International Symposium on Information technology, ITSim

作者： Sayed Gholam Hassan Tabatabaei Wan Mohd Nasir Wan Kadir Suhaimi Ibrahim Department of Software Engineering Faculty of Computer Science and Information Systems University of Technology Skudai Johor Malaysia

Since many organizations recently decide to implement and publish their applications over Internet, the number of Web services has dramatically increased. In many cases, a single service is not sufficient to respond to the user’s request. In order to tackle this problem, services have to be combined together. Therefore, composition of Web services is one of the recent critical issues. Several approaches have been presented, to tackle this problem. In this paper, we classify these approaches into four categories namely Workflow-based, AI-planning based, Syntactic-based, and Ontology-based. Then, we describe and compare these approaches using some criteria (like QoS, scalability, and correctness). The overall results indicate that some AI-planning and Ontology based approaches like HTN-DL and WSMO satisfy most of the criteria.

关键词： Web services Planning Ontologies Calculus OWL Semantic web Protocols

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Thread-Level Parallelism & Shared-Memory Pool Techniques for Authorization of Credit Card System

Thread-Level Parallelism & Shared-Memory Pool Techniques for...

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International Symposium on Communications and Information Technologies (ISCIT)

作者： Mohd Hairul Nizam M. Nasir Siti Hafizah Ab. Hamid Hazrina Hassan Department of Software Engineering Faculty of Computer Science & Information Technology University of Malaya Kuala Lumpur Malaysia

Nowadays, credit card is a famous trend used by millions of people around the world as a form of payment. This paper presented an architectural framework and prototype of credit card authorization system using thread-level parallelism and shared memory pool techniques in order to support dynamic tuning of the size of the thread pool at runtime. Normally, single threaded were chosen by software developer in current credit card authorization whereby authentication process takes longer time to respond and its limitation of handling huge number of simultaneous transactions at the same time. As a result, the performance of the authorization system was affected during peak hours. Through thread-level parallelism technique or usually known as multi-threading, each worker thread will be assigned with several child threads to perform online fraud validation concurrently, depending on numbers of cryptographic elements presented in transaction message while the work thread itself performed card restriction validation based on the card information stored in card's shared memory pool.

关键词： Authorization Credit cards Yarn Parallel processing Prototypes Authentication Risk management software engineering computer science Information technology

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Developing tool for crosscutting concern identification using NLP

Developing tool for crosscutting concern identification usin...

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International Symposium on Information technology, ITSim

作者： Busyairah Syd Ali Zarinah Mohd. Kasirun Department of Software Engineering Faculty of Computer Science & Information Technology University of Malaya Kuala Lumpur Malaysia

Aspect-oriented requirements engineering shows encouraging results in improving, identification, modularization and composition of crosscutting concerns. For instance, many techniques have been developed for crosscutting concern identification activity. This crucial activity is useful at the requirements level; it avoids coupling between requirements, improves traceability among requirements, eases function modularization, reduces software complexity, enhances the correctness of the software design, and most importantly it saves the cost. However, existing studies do not provide us with a clear definition of the term crosscutting concern and aspect. In terms of tools, most of these techniques in the existing studies are only supported by semi-automated tool. It means human intervention is required to achieve the desired results. In this paper, we describe a tool that provides automated support for identifying crosscutting concern at the requirements level. The tool utilises natural language processing technique to reason about properties of the concerns and model their structure and relationship.

关键词： Tagging Natural language processing Unified modeling language software systems software computer science Shape

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New direction in project management success: Base on smart methodology selection

New direction in project management success: Base on smart m...

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International Symposium on Information technology, ITSim

作者： Iman Attarzadeh Siew Hock Ow Department of Software Engineering Faculty of Computer Science & Information Technology University of Malaya Kuala Lumpur Malaysia

Modern project management is a well-understood discipline that can produce predictable, repeatable results. The methodologies of modern project management are highly analytic, usually requiring automated tools to support them on large projects. Like most other disciplines, it is learned through both practice and study. Project management encompasses many different skills, such as understanding the interdependencies among people, technologies, budgets, and expectations; planning the project to maximize productivity; motivating others to execute the plan; analyzing the actual results; and reworking and tuning the plan to deal with the realities of what really happens as the project is executed. In order to manage a project and bring it to a successful completion, its project manager must have a complete understanding of the methodologies being used for the management of different parts of the project. Managers prefer specific project methodology, while resist and face difficulties for an opportunity to manage another project with different methodology as they don’t know how much commonality exists between the preferred and the new required methodology.

关键词： Project management Organizations Standards Companies Documentation Planning Schedules

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Panel session - pen-based computing in the engineering and science classroom: Implementation scenarios from three institutions

Panel session - pen-based computing in the engineering and s...

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Frontiers in Education (FIE) Conference

作者： Archana Chidanandan Pat Ferro Jeff Frolik Maki Hirotani Kathy Schmidt Deborah Walter Julia Williams Computer Science and Software Engineering Rose Hulman Institute of Technology Electrical and Computer Engineering University of Vermont Rose Hulman Institute of Technology Faculty Innovation Center Cockrell School of Engineering University of Technology Austin USA

As digital ink technology continues to make an impact on the technical classroom, faculty members are exploring the different strategies for using this technology to improve student learning. The purpose of this panel is to demonstrate how faculty members are implementing this technology in engineering and science classrooms at three different institutions: Rose-Hulman Institute of technology, University of Texas at Austin, and University of Vermont. The panel is designed to show both experienced pen computing users and those who are new to the field the different ways this versatile technology may be employed. In addition to the demonstrations, the presenters will discuss the pedagogical implications that result from the implementations. faculty who are interested in both the pedagogy and assessment of pen-based computing in the classroom should find the session informative and useful.

关键词： software Education computers Mobile communication Professional communication Book reviews Springs

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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...

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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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Quantitative approaches in object-oriented software engineering

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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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Robust Scheduling and Runtime Adaptation of Multi-agent Plan Execution

Robust Scheduling and Runtime Adaptation of Multi-agent Plan...

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IEEE WIC ACM International Conference on Web Intelligence (WI)

作者： Mingzhong Wang Kotagiri Ramamohanarao Jinjun Chen Department of Computer Science and Software Engineering University of Melbourne VIC Australia Faculty of ICT Swinburne University of Technology VIC Australia

Robustness and reliability with respect to the successful completion of a schedule are crucial requirements for scheduling in multi-agent systems because agent autonomy makes execution environments dynamic and nondeterministic. We introduce a model to incorporate trust which indicates the probability that an agent will comply with its commitments into scheduling, thus improving the predictability and stability of the schedule. To deal with exceptions during execution, we adapt and evolve the schedule at runtime by interleaving the processes of evaluation, scheduling, execution and monitoring in the life cycle of a plan. Experiments show that schedules maximizing participantspsila trust are more likely to survive and succeed in open and dynamic environments. The results also prove that the proposed plan evaluation approach conforms with the simulation result, thus being helpful for plan selection.

关键词： Robustness Runtime Costs Dynamic scheduling Processor scheduling Intelligent agent Australia Multiagent systems Interleaved codes Monitoring

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Adaptive Fusion of Gait and Face for Human Identification in Video

Adaptive Fusion of Gait and Face for Human Identification in...

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IEEE Workshop on Applications of computer Vision (WACV)

作者： Xin Geng Liang Wang Ming Li Qiang Wu Kate Smith-Miles School of Engineering and Information Technology Deakin University VIC Australia Department of Computer Science and Software Engineering University of Melbourne VIC Australia Faculty of Information Technology University of Technology Sydney NSW Australia

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 adjusts the fusion rules to suit the real-time external conditions. As a typical example, the adaptive fusion of gait and face in video is studied. Two factors that may affect the relationship between gait and face in the fusion are considered, i.e., the view angle and the subject-to-camera distance. Together they determine the way gait and face are fused at an arbitrary time. Experimental results show that the adaptive fusion performs significantly better than not only single biometric traits, but also those widely adopted static fusion rules including SUM, PRODUCT, MIN, and MAX.

关键词： Face Humans Biometrics Cameras Information technology Fusion power generation Legged locomotion computer science software engineering Fingerprint recognition

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Clustering Transactions Based on Weighting Maximal Frequent Itemsets

Clustering Transactions Based on Weighting Maximal Frequent ...

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2008 3rd International Conference on Intelligent System and Knowledge engineering(第三届智能系统与知识工程国际会议)(ISKE 2008)

作者： Faliang Huang Guoqing Xie Zhiqiang Yao Shengzhen Cai Faculty of Software Fujian Normal UniversityFuzhou 350007China School of Computer Science and Engineering South China University of Technology GuangzhouChina

We propose a new similarity measure forcomparing maximal frequent itemset(MFI),whichtakes into account not only non-numeric attributes butalso numeric attributes of each item while computingsimilarity between *** provides more reliablesoundness for clustering results *** approaches consider just one side and areapt to lead to unintelligible clustering results *** on properties of maximalfrequent itemset(MFI),we construct a multi-levelhierarchical model(MHM)for our ***,to evaluate our approach andcompare with other similarity strategies,we constructan original evaluating strategy NF_Measure whichintegrates both quantity similarity and qualifysimilarity between *** experimentallyevaluate the proposed approach and demonstrate thatour algorithm is promising and effective.

关键词： Itemsets Data mining Clustering algorithms Knowledge engineering Intelligent systems Transaction databases computer science software algorithms Algorithm design and analysis Companies

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