As an important basis of Web services selection, discovery and composition, the quality of Web services is widely studied and has become a subject of intense debate in recent years. It is necessary to conquer the subj...
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As an important basis of Web services selection, discovery and composition, the quality of Web services is widely studied and has become a subject of intense debate in recent years. It is necessary to conquer the subjectivity of existing methods for measuring quality of Web services, depict the inherent uncertainties implied in service invocations and the mutual relationships among the deterministic factors. Therefore, invocation rate, success rate and efficiency are defined as three representative factors with respect to the quality of elementary Web services. By statistical computation of historical invocations on elementary services, the quantitative values of the above three factors can be obtained. In this paper, according to the basic ideas of evidence combination and evidence superposition, an approach is proposed to measure the quality of elementary Web services based on the superposition of the above uncertain factors. Based on the mean of corresponding qualities of elementary Web services, another approach is proposed for measuring higher-granularity services. Further, a method for determining priorities among Web services is given accordingly. The proposed methods are well consistent with people's intuition. Performance studies verify their efficiency, scalability and feasibility.
Since the scalability of logic circuits is becoming larger and more complex, the auto-design is becoming more and more difficult. In order to improve automatic design and performance evaluation of logic circuits in ef...
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Since the scalability of logic circuits is becoming larger and more complex, the auto-design is becoming more and more difficult. In order to improve automatic design and performance evaluation of logic circuits in efficiency and capability of optimization, multiobjective simulated annealing (MSA) based increasable evolution approach is designed to evolve logic circuits automatically with an extended matrix encoding method, which can be able to reflect the potential performance of a circuit and reduce the risk of deleting a circuit with a good developing potential during evolution is devised. In the process of evolution, each individual is renewedly associated to a corresponding objective in terms of a novel adaptive evaluation method at each generation. In experiments, complicated arithmetic circuits are designed to assess the performance of MSA against other algorithms. Results indicate that the proposed method could design logic circuits efficiently.
In this study, a novel quantum secure direct communication protocol is proposed with authentication using the quantum superdense coding scheme and a braid-based key agreement protocol. The security of the proposed pro...
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The clinical symptoms of metabolic disorders during neonatal period are often not apparent, if not treated early irreversible damages such as mental retardation may occur, even death. Therefore, practicing newborn scr...
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The clinical symptoms of metabolic disorders during neonatal period are often not apparent, if not treated early irreversible damages such as mental retardation may occur, even death. Therefore, practicing newborn screening is very important to prevent neonatal from these damages. In this paper, the newborn screening system used support vector machines (SVM) classification technique is proposed in place of cut-off value decision to evaluate the metabolic substances concentration raw data obtained from tandem mass spectrometry (MS/MS) and determine whether the newborn has some kinds of metabolic disorder diseases. On the basis of the proposed features, new analytic combinations are identified with superior discriminatory performance compared with the best published combinations. Classifiers built with the feature selection to find C3/C2, C3 and C16 of three key point features achieved diagnostic sensitivities, specificities and accuracy approaching 100%.
Bio-signal analysis is one of the most important approaches to biomedical engineering. The health information such as ECG, PCG, EMG and EEG are often recorded in digital format to be analyzed. In this paper, a bio-sig...
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Bio-signal analysis is one of the most important approaches to biomedical engineering. The health information such as ECG, PCG, EMG and EEG are often recorded in digital format to be analyzed. In this paper, a bio-signal analyzing Web service system using Support Vector Machines (SVM) classifier technique is proposed. The bio-signals are recorded in digital format as the input of the system. In addition, based on the concept of Service-Oriented Architecture (SOA), the system under Web services .NET is designed. The system provides features including heterogeneous platform, protocols, as well as applications. The system has been designed with the purpose of seamless integration into the Health information System.
The importance of the data uncertainty was studied deeply with the rapid development in data gathering and processing in various fields, inclusive of economy, military, logistic, finance and telecommunication, etc. Un...
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The importance of the data uncertainty was studied deeply with the rapid development in data gathering and processing in various fields, inclusive of economy, military, logistic, finance and telecommunication, etc. Uncertain data has many different styles, such as relational data, semistructured data, streaming data, and moving objects. According to scenarios and data characteristics, tens of data models have been developed, stemming from the core possible world model that contains a huge number of the possible world instances with the sum of probabilities equal to 1. However, the number of the possible world instances is far greater than the volume of the uncertain database, making it infeasible to combine medial results generated from all of possible world instances for the final query results. Thus, some heuristic techniques, such as ordering, pruning, must be used to reduce the computation cost for the high efficiency. This paper introduces the concepts, characteristics and challenges in uncertain data management, proposes the advance of the research on uncertain data management, including data model, preprocessing, integrating, storage, indexing, and query processing.
As a fundamental requirement for providing security functionality in sensor networks, key management plays a core supporting role in authentication and encryption. In this paper, we propose the Adaptive Key Selection ...
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As a fundamental requirement for providing security functionality in sensor networks, key management plays a core supporting role in authentication and encryption. In this paper, we propose the Adaptive Key Selection (AKS) scheme and the Adaptive Key Selection algorithm for secure multiple deployment in sensor networks that target at providing high connectivity between different deployment sets of sensor nodes. Our simulation shows that the AKS scheme can greatly improve the connectivity of sensor nodes while maintaining the security of the multiple deployment sets at the same time.
In this paper, we show an isomorphism between the set of complex operations on the kinetic Voronoi diagram of points and open oriented line segments and the sets of numbers of new / deleted Voronoi regions induced by ...
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In this paper, we show an isomorphism between the set of complex operations on the kinetic Voronoi diagram of points and open oriented line segments and the sets of numbers of new / deleted Voronoi regions induced by these operations, and its explanation using the finite field of residual classes of integers modulo 5: F 5 = Z/5Z. We show also an isomorphism between the set of complex operations on the kinetic Voronoi diagram of points and open oriented line segments and the set of differences of new and deleted quad-edge edges induced by these operations, and its explanation using the finite field F 15 = Z/15Z. We show finally the application of these theoretical results to the logging of a kinetic line Voronoi data structure.
In automated planning under uncertainty, extended goals are often expressed as temporal logic formulas, particularly as CTL (computation tree logic) formulas and EAGLE formulas. Though it is said that the capability o...
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In automated planning under uncertainty, extended goals are often expressed as temporal logic formulas, particularly as CTL (computation tree logic) formulas and EAGLE formulas. Though it is said that the capability of representing the "intentional" aspects of goals and the possibility of dealing with failure are the main new features of EAGLE with respect to CTL, there is not enough work devoted to formal comparison of semantics of these two languages. According to the formal semantics of EAGLE and CTL goals on Kripke structures (i.e., execution structures induced by plans from initial states), it is proven that many EAGLE goals including some having been deemed to be unexpressive in CTL (e.g., some EAGLE goals in which TryReach operator and Fail operator appear) can be expressed in CTL in fact, and an analysis of the characters of these two languages in expressing extended goals and guiding the search for plans that satisfy them is given.
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