Most of the current information retrieval systems are mainly based on full text matching of keywords or topic-based classification, often return a large number of irrelevant information, and are unable to meet the use...
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Most of the current information retrieval systems are mainly based on full text matching of keywords or topic-based classification, often return a large number of irrelevant information, and are unable to meet the user's request. Ontology-based semantic retrieval is a hot issue in current research. In this paper, the corn plant ontology is constructed using Formal Concept Analysis based approach in which the concept lattice is built from terminology-file relationship table and further reduced. Based on the corn plant ontology, we propose a semantic annotation method in which the feature words are selected by an improved method for weight calculation and the RDF triples are generated by syntactic parser. Finally a semantic retrieval system for corn plant is developed. In comparative experiment one hundred documents are selected as the dataset, and the result shows that the semantic retrieval system introduced in this paper is superior to keyword-based retrieval method in precision ratio and recall ratio.
With the rapid development of vehicle electronic systems, the vehicle software failure rate has also been rising over time. Providing the convenient and effective maintenance on the vehicle software has become a funda...
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With the rapid development of vehicle electronic systems, the vehicle software failure rate has also been rising over time. Providing the convenient and effective maintenance on the vehicle software has become a fundamental block constraining the progress of vehicle electronic industry. A trusted remote remediation framework for vehicle software is presented and realized to enable drivers to online upgrade version or fix bug without needing for driving the vehicles back to the factories or using the specific devices. In this framework, the trusted remediation server takes responsibility for managing and providing the patch programs and the trusted remediation client can download directly from the remediation server to upgrade programs or fix software errors, achieving the self-repair in complex vehicular networks.
One kind of semantic Web service modeling and reasoning method based on description logic with Boolean role constructors (SROIQB) was introduced. By using DL to figure out the hyponymy relationship between concepts in...
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One kind of semantic Web service modeling and reasoning method based on description logic with Boolean role constructors (SROIQB) was introduced. By using DL to figure out the hyponymy relationship between concepts in domain ontology and model Web service functional semantic in ServiceProfile, and define Boolean role expressions to describe the composition process in ProcessProfile respectively. Furthermore, Boolean role expression is introduced to describe all possible composition structures of atomic services and then semantic Web service composition can be regarded as a process of consistence checking and class subsumption computing reasoning on DL knowledge base. Thus the comparison and example validation show that introduced one kind of new and reasonable semantic Web service modeling and composition method in the framework of semantic Web by using SROIQB, which with more strong expressive capability and decidable type inference.
Cascading failures often occur in congested complex networks. Cascading failures can be expressed as a three-phase process: generation, diffusion, and dissipation of congestion. Different from the betweenness central...
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Cascading failures often occur in congested complex networks. Cascading failures can be expressed as a three-phase process: generation, diffusion, and dissipation of congestion. Different from the betweenness centrality, a congestion function is proposed to represent the extent of congestion on a given node. Inspired by the restart process of a node, we introduce the concept of "delay time," during which the overloaded node Cannot receive or forward any traffic, so an intergradation between permanent removal and nonremoval is built and the flexibility of the presented model is demonstrated. Considering the connectivity of a network before and after cascading failures is not cracked because the overloaded node are not removed from network permanently in our model, a new evaluation function of network efficiency is also proposed to measure the damage caused by cascading failures. Finally, we investigate the effects of network structure and size, delay time, processing ability, and traffic generation speed on congestion propagation. Cascading processes composed of three phases and some factors affecting cascade propagation are uncovered as well.
In this paper, a novel method is proposed for judging whether a component set is a consistency-based diagnostic set, using SAT solv- ers. Firstly, the model of the system to be diagnosed and all the observations are d...
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In this paper, a novel method is proposed for judging whether a component set is a consistency-based diagnostic set, using SAT solv- ers. Firstly, the model of the system to be diagnosed and all the observations are described with conjunctive normal forms (CNF). Then, all the related clauses in the CNF files to the components other than the considered ones are extracted, to be used for satisfiability checking by SAT solvers. Next, all the minimal consistency-based diagnostic sets are derived by the CSSE-tree or by other similar algorithms. We have implemented four related algorithms, by calling the gold medal SAT solver in SAT07 competition – RSAT. Experimental results show that all the minimal consistency-based diagnostic sets can be quickly computed. Especially our CSSE-tree has the best effciency for the singleor double-fault diagnosis.
In this paper we propose an algorithm of computing minimal diagnosis based on BDD (Binary Decision Diagram). First we give the concept of disjunction equations, and map the collection of conflict sets into disjunction...
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When diagnosing dynamic system represented as discrete-event systems, it needs to find what happened to the systems from observations. The behavior of system could be represented by automaton model. The diagnostic tas...
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This paper proposes a unified model - D9-intersection model to represent topological relations between regions with holes. D9-intersection model can describe simple regional relations as accurately as 9-intersection m...
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K-means algorithm is one of the most famous unsupervised clustering algorithms. Many theoretical improvements for the performance of original algorithms have been put forward, while almost all of them are based on Sin...
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We propose a parallel MAX-MIN Ant System (MMAS) algorithm that is suitable for an implementation on graphics processing units (GPUs). Multi ant colonies with respective parameter settings are whole offloaded to the GP...
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