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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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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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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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MaramaAI: Automated and visual approach for Inconsistency checking of requirements

MaramaAI: Automated and visual approach for Inconsistency ch...

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2010 18th IEEE International Requirements engineering Conference, RE2010

作者： Kamalrudin, Massila Hosking, John Grundy, John Department of Electrical and Computer Engineering University of Auckland Private Bag 92019 Auckland 1142 New Zealand Dept of Computer Science University of Auckland Private bag 92019 Auckland 1142 New Zealand Swinburne University of Technology Centre for Complex Software Systems and Services PO Box 218 Hawthorn VIC 3122 Australia

ISBN: (纸本)9780769541624

Requirements are commonly vague and ambiguous. In this paper, we describe an automated Inconsistency Checker called MaramaAI for checking for high- level inconsistency between textual requirements, abstract interactions and Essential Use Cases. We use concepts of phrase extraction and essential interaction patterns to carry out these checks. We provide further support for checking of requirements quality attributes such as completeness and correctness using visual differencing. © 2010 Crown Copyright.

关键词： MaramaAI abstract interaction automated inconsistency checker data integrity essential interaction pattern essential interaction pattern formal specification formal verification high-level inconsistency higher level inconsistency phrase extraction requirement quality attribute systems analysis text analysis textual requirement visual differencing visual differencing

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Energy-Aware Loop Parallelism Maximization for Multi-core DSP Architectures

Energy-Aware Loop Parallelism Maximization for Multi-core DS...

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IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom) Green Computing and Communications (GreenCom)

作者： Meikang Qiu Jian-Wei Niu Laurence T. Yang Xiao Qin Senlin Zhang Bin Wang Department of Electrical and Computer Engineering University of Kentucky KY USA State Key Laboratory of Software Development Environment Beihang University Beijing China Department of Computer Science Saint Francis Xavier University NS Canada Department of Computer Science and Software Engineering Aubum University Auburn AL USA Department of Systems Science and Engineering University of Zhejiang Hangzhou China Department of Computer Science and Engineering Wright State University Dayton OH USA

With the advance of semiconductor, multi-core architecture is inevitable in today's embedded system design. Nested loops are usually the most critical part in multimedia and high performance DSP (Digital Signal Processing) systems. Hence, maximizing loop parallelism is an important issue to improve the performance of a modern compiler. This paper studies how to maximize the system performance with the consideration of energy reduction for applications with multidimensional nested loops on multi-core DSP architectures. An algorithm, EALPM (Energy-Aware Loop Parallelism Maximization), is proposed in this paper. We implemented a two phase strategy. First, the strategy uses retiming and loop transformation to parallelize nested loops. Then the strategy employs a novel voltage assignment algorithm to reduce total energy consumption. The experimental results show that on average, both performance and energy-saving can be significantly improved using the EALPM algorithm.

关键词： Parallel processing Energy consumption Voltage control Optimization Algorithm design and analysis computer architecture Digital signal processing

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On the Privacy Protection in Publish/Subscribe systems

On the Privacy Protection in Publish/Subscribe Systems

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2010 IEEE International Conference Conferenhce on Wireless Communications,Networking and Information Security(2010 IEEE 无线通信、网络技术与信息安全国际会议 WCNIS)

作者： Nancy Skocik Weifeng Chen Jianchun Jiang Department of Math Computer Science & Information Systems California University of Pennsylvania Ca National Engineering Research Center of Fundamental Software Institute of Software Chinese Academy o

In a publish/subscribe (pub/sub) system, information (referred to as events) published by publishers and interests submitted by subscribers are sent to the network, which conducts matching between events and interests, and only delivers those events satisfying the interests. When the pub/sub infrastructure is untrusted, it is often desirable to keep both events and interests secret from the pub/sub network. In this paper, we formulate this goal as the private subscription problem. We then describe cryptographic schemes to solve this problem in some types of publish/subscribe systems. The algorithms we present are efficient in that they are based on symmetric encryptions requiring O(n) cipher operations for a message of length n.

关键词： Privacy Protection Subscriptions Cryptography Information security Resumes computer science Information systems Internet Humans

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Gene Expression Classification with a Novel Coevolutionary Based Learning Classifier System on Public Clouds

Gene Expression Classification with a Novel Coevolutionary B...

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IEEE International Conference on E-science Workshops

作者： Christian Vecchiola Mani Abedini Michael Kirley Xingchen Chu Rajkumar Buyya Cloud Computing and Distributed Systems (CLOUDS) Laboratory University of Melbourne Australia Department of Computer Science and Software Engineering University of Melbourne Australia

Microarray technology allows for the simultaneous monitoring of thousands of genes expressions per sample. Unfortunately, the classification of these samples into distinct classes is often difficult as the number of genes (features) greatly exceeds the number of samples. Consequently, there is a need to investigate new, robust machine learning techniques capable of accurately classifying microarray data. In this paper, we present a coevolutionary learning classifier system based on feature set partitioning to classify gene expression data. A distributed implementation, which leverages Cloud computing technologies, is used to address the inherent computational costs of our model. The development and execution of this application was done using the Aneka middleware on the public Cloud (Amazon EC2) infrastructure. Experiments conducted using gene expression profiles demonstrates that the proposed implementation outperforms other well-known classifiers in terms of accuracy. Preliminary analysis into the impact of different Cloud setups on the performance of the classifier are also reported.

关键词： Cloud computing Gene expression Accuracy Machine learning Containers computer architecture

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On power and fault-tolerance optimization in FPGA physical synthesis 10

On power and fault-tolerance optimization in FPGA physical s...

引用

IEEE International Conference on computer-Aided Design

作者： Manu Jose Yu Hu Rupak Majumdar Computer Science Department University of California Los Angeles USA Electrical and Computer Engineering Department University of Alberta Canada Max Planck Institute for Software Systems Kaiserslautern Germany

ISBN: (纸本)9781424481927

Power and fault tolerance are deemed to be two orthogonal optimization objectives in FPGA synthesis, with independent attempts to develop algorithms and CAD tools to optimize each objective. In this paper, we study the relationship between these two optimizations and show empirically that there are strong ties between them. Specifically, we analyze the power and reliability optimization problems in FPGA physical synthesis (i.e., packing, placement, and routing), and show that the intrinsic structures of these two problems are very similar. Supported by the post routing results with detailed power and reliability analysis for a wide selection of benchmark circuits, we show that with minimal changes - fewer than one hundred lines of C code - an existing power-aware physical synthesis tool can be used to minimize the fault rate of a circuit under SEU faults. As a by-product of this study, we also show that one can improve the mean-time-to-failure by 100% with negligible area and delay overhead by performing fault-tolerant physical synthesis for FPGAs. The results from this study show a great potential to develop CAD systems co-optimized for power and fault-tolerance.

关键词： Fault tolerance Fault tolerant systems Circuit faults Sensitivity Optimization Routing Table lookup

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Hardware/software co-design for high performance computing: Challenges and opportunities

Hardware/software co-design for high performance computing: ...

引用

作者： Hu, X. Sharon Murphy, Richard C. Dosanjh, Sudip Olukotun, Kunle Poole, Stephen Department of Computer Science and Engineering University of Notre Dame Notre Dame IN United States Scalable Computer Architecture Department Sandia National Laboratories Albuquerque NM United States Computer and Software Systems Department Sandia National Laboratories Albuquerque NM United States Department of Electrical Engineering Stanford University Stanford CA United States Computational Sciences Division Oak Ridge National Lab. Oak Ridge TN United States

ISBN: (纸本)9781605589053

This special session aims to introduce to the hardware/software codesign community challenges and opportunities in designing high performance computing (HPC) systems. Though embedded system design and HPC system design have traditionally been considered as two separate areas of research, they in fact share quite some common features, especially as CMOS devices continue along their scaling trends and the HPC community hits hard power and energy limits. Understanding the similarities and differences between the design practices adopted in the two areas will help bridge the two communities and lead to design tool developments benefiting both communities. © 2010 ACM.

关键词： Hardware-software codesign

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A Taxonomy of Autonomic Application Management in Grids

A Taxonomy of Autonomic Application Management in Grids

引用

International Conference on Parallel and Distributed systems (ICPADS)

作者： Mustafizur Rahman Rajiv Ranjan Rajkumar Buyya Cloud Computing and Distributed Systems Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia Service Oriented Computing Research Group School of Computer Science and Engineering University of New South Wales Australia

In this paper, we propose a taxonomy that characterizes and classifies different components of autonomic application management in Grids. We also survey several representative Grid systems developed by various projects world-wide to demonstrate the comprehensiveness of the taxonomy. The taxonomy not only highlights the similarities and differences of state-of-the-art technologies utilized in autonomic application management from the perspective of Grid computing, but also identifies the areas that require further research initiatives.

关键词： Monitoring Resource management Taxonomy Processor scheduling Decision making Dynamic scheduling

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