The implementation of Web services specifications is the key issue of Web services container which is the infrastructure of SOC. The specifications are always depicted in natural language, which may lead to misunderst...
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The implementation of Web services specifications is the key issue of Web services container which is the infrastructure of SOC. The specifications are always depicted in natural language, which may lead to misunderstanding or ambiguity. In this situation, the implementations of the same specification by different containers will re-introduce interoperability which is supposedly addressed by Web services. These may lead to the reliability problems among upper applications. Currently, formal methods is a precise mathematic way to model the specifications and verify the correctness of the properties. To solve the issues, first, we introduce an XML programming language called SODL (Service-Oriented Description Language) to describe the implementation of specifications. Then, using SODL, we describe the message processing logic according to specifications and implement a Web services container. Furthermore, the logic described in SODL can be converted to automata, by which lots of tools can be applied to verify the properties of container according to the specifications.
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 oft...
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Military missions are highly dynamic and uncertain. This characteristic comes from the nature of battlefields where such factors as enemies and terrains are not easy to be determined. Hence disruption of missions is l...
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Embedded real-time system has requirements for nonfunctional features such as schedulability, dependability and safety. With traditional design and development methodology these nonfunctional features could only be an...
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Embedded real-time system has requirements for nonfunctional features such as schedulability, dependability and safety. With traditional design and development methodology these nonfunctional features could only be analyzed after the system is fully implemented. Architecture Analysis and Design Language (AADL) is a modeling language that supports early and repeated analyses of a system's architecture with respect to performance-critical properties through an extendable notation, a tool framework, and precisely defined semantics. AADL can be used in the analysis of partially defined architectural patterns with limited architectural detail, it is suitable for team work in large-scale system design and development. Avionic Air Data System is used as the AADL modeling and analysis study case. A basic model with software, hardware components is created. software components are allocated to hardware components. Resource budget analysis, resource allocation analysis and end to end flow latency analysis are performed on Air Data system. Part of system model is redesigned depends on the analysis results. All these analyses are performed in the early phase of system design and development. It helps to find out issues early to save costs and reduce potential errors.
This paper addresses the Information Retrieval issues by today's hierarchical systems such as file systems. They usually contain substantial amount of redundant items. Maintaining the structure becomes difficult w...
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This paper addresses the Information Retrieval issues by today's hierarchical systems such as file systems. They usually contain substantial amount of redundant items. Maintaining the structure becomes difficult when large amount of items exist and ambiguity occurs in the structure. In this study, a conceptual method is presented that replaces the “containment” principle involved in current systems by “membership” principle. The proposed Conceptual File Management (CFM) method allows a file to be accessed from multiple folders; furthermore, it keeps the current hierarchical structure with minor changes. CFM reduces the ambiguity and redundancy, therefore the quality of information retrieval is improved. A Conceptual File Manager based on the above-mentioned principle has been developed. Experiments show that it improves the quality of the system in terms of maintaining the structure and retrieving the desired items easier and faster based on users' viewpoints. CFM is applicable to not only traditional file systems on computers, but also file systems on cell phones (and message storage systems), site maps in Web sites, Content Management Systems, taxonomies, and in general, classification based structures.
In this article, a recent metaheuristic method, cat swarm optimization, is introduced to find the proper clustering of data sets. Two clustering approaches based on cat swarm optimization called Cat Swarm Optimization...
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In this article, a recent metaheuristic method, cat swarm optimization, is introduced to find the proper clustering of data sets. Two clustering approaches based on cat swarm optimization called Cat Swarm Optimization Clustering (CSOC) and K-harmonic means Cat Swarm Optimization Clustering (KCSOC) are proposed. In the proposed methods, seeking mode and tracing mode are adopted to exploit and explore the solution space. In addition, K-Harmonic Means (KHM) operation is designed to refine the population and accelerate the convergence of the clustering algorithm. Experimental results on six real life data sets are given to illustrate the effectiveness of the proposed algorithms.
In this paper, a new efficient method of computing modified discrete cosine transform (MDCT) in MP3 audio coding is proposed. We first define a scaled discrete cosine transform (SDCT), then convert N-point MDCT to N/2...
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In this paper, a new efficient method of computing modified discrete cosine transform (MDCT) in MP3 audio coding is proposed. We first define a scaled discrete cosine transform (SDCT), then convert N-point MDCT to N/2-point SDCT. Next we factor N/2-point SDCT matrix mathematically. The factored SDCT matrices are used to develop a fast MDCT algorithm for realizing N-point MDCT. We show that the proposed MDCT algorithm outperforms all fast MDCTalgorithms developed in the literature in terms of computational complexity.
Negotiation activities are carried out among stakeholders in a supply chain for resolving the differences in their objectives and preferences. The objective of this work is to find near-optimal negotiation strategies ...
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Negotiation activities are carried out among stakeholders in a supply chain for resolving the differences in their objectives and preferences. The objective of this work is to find near-optimal negotiation strategies for bilateral negotiation with incomplete information, in which each agent has a competitive objective and incomplete information about its opponent, by coevolving both agents' strategies using an estimation of distribution algorithm (EDA). However, an EDA often cannot find optimum solutions for both the agents for the reason that one of the two agents' populations has a very rapid convergence rate than the other population in the process of coevolution. Hence, the resulting solutions of both the agents will be biased and converge to suboptimal ones. To solve this problem, this paper proposes an EDA which has a novel diversity controlling capability. The proposed method utilizes the accumulated frequency information of the occurrence of individuals in each band of a population for generations. The information is used in the diversification and refinement procedure of the proposed diversity controlling EDA. Results from a series of experiments indicate that the proposed diversity controlling EDA achieves a better performance than the EDA without a diversity controlling method for the problem task in finding near-optimal solutions.
This paper presents an novel technique that employs both the color and edge direction features for Content-Based Image Retrieval (CBIR). In this method, a given image is first divided into sub-block which has the same...
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ISBN:
(纸本)9781424458455
This paper presents an novel technique that employs both the color and edge direction features for Content-Based Image Retrieval (CBIR). In this method, a given image is first divided into sub-block which has the same size and then the color and edge direction features of each sub-block can be extracted. Next, it constructs a codebook of color feature using clustering algorithm and then each subblock is mapped to the codebook. Finally, it uses the color index codes to image retrieval and uses the edge direction feature as the color feature's weight which belongs to the same color feature's sub-block. The effectiveness of this technique is demonstrated with the experiments.
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