This paper presents a key management scheme for multicast based on layer 2 control, which includes multicast authentication, secure multicast forwarding tree management, key distribution when users are initialized and...
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Triangular patch resonators have important applications in microwave filters and antennas design. In this report, new isosceles right-angled triangular patch resonator bandpass filters with two-path coupling are devel...
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In this paper, we propose open bisimulations for open processes in higher order π-calculus. The equivalence of open bisimulations and other bisimulations for open processes is proved. Furthermore, we present a symbol...
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This paper presents a topic-driven framework for generating a generic summary from multi-documents. Our approach is based on the intuition that, from the statistical point of view, the summary's probability distri...
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This paper presents a topic-driven framework for generating a generic summary from multi-documents. Our approach is based on the intuition that, from the statistical point of view, the summary's probability distribution over the topics should be consistent with the multi-documents' probability distribution over the inherent topics. Here, the topics are defined as weighted “bag-of-words” and derived by Latent Dirichlet Allocation from a collection of documents, either the given multi-documents or a related large-scale corpus. In this sense, we could represent various kinds of text units, such as word, sentence, summary, document and multi-documents, using a single vector space model via their corresponding probability distributions over the derived topics. Therefore, we are able to extract a sentence or summary by calculating the similarity between a sentence/summary and the given multi-documents via their topic probability distributions. In particular, we propose two methods in similarity measurement: the static method and the dynamic method. While the former is employed to detect the salience of information in a static way, the later further controls redundancy in a dynamic way. In addition, we integrate various popular features to improve the performance. Evaluation on the TAC 2008 update summarization task shows encouraging results.
Dual-band and tri-band SIR bandpass filters with compact coupling and sizes reduction are proposed, and two paths coupling is introduced. In the new design, split ring SIR and DGS techniques are applied to not only re...
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In this paper, we first propose a specification approach combining interface automata and Z language. This approach can be used to describe temporal properties and data properties of software components. A branching t...
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ISBN:
(纸本)9788988678213
In this paper, we first propose a specification approach combining interface automata and Z language. This approach can be used to describe temporal properties and data properties of software components. A branching time logic for ZIAs is presented. We then give an algorithm for model checking this logic on ZIAs with finite domain. Furthermore, we present a mu-calculus logic for ZIAs, and give a model checking algorithm for this logic.
This paper proposes a radial basis function (RBF) neural network algorithm based on factor analysis (FA-RBF) with the architecture feature of RBF network when the data are high-dimensional and complex. By reducing the...
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The query translation of Out of Vocabulary (OOV) is one of the key factors that affect the performance of Cross-Language information Retrieval (CLIR). Based on Wikipedia data structure and language features, the paper...
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The query translation of Out of Vocabulary (OOV) is one of the key factors that affect the performance of Cross-Language information Retrieval (CLIR). Based on Wikipedia data structure and language features, the paper divides translation environment into target-existence and target-deficit environment. To overcome the difficulty of translation mining in the target-deficit environment, the frequency change information and adjacency information is used to realize the extraction of candidate units, and establish the strategy of mixed translation mining based on the frequency-distance model, surface pattern matching model and summary-score model. Search engine based OOV translation mining is taken as baseline to test the performance on TOP1 results. It is verified that the mixed translation mining method based on Wikipedia can achieve the precision rate of 0.6279, and the improvement is 6.98% better than the baseline.
According to the bussiness requirement of Shooting information Distribution Systems (IDS) based on sufficient investigation, the development status of similar system and relatived technology at home and abroad are ana...
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Nonsubsampled contourlet transform (NSCT) can provide flexible multiresolution, anisotropy, and directional expansion for images. Compared with the original contourlet transform, it is shift-invariant and can overcome...
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