The resource locating efficiency is the core issue of P2P systems. The unstructured P2P systems adopt the flooding mechanism, which causes huge network burden. The Structured P2P systems, however, employs routing base...
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ISBN:
(纸本)9781612848372
The resource locating efficiency is the core issue of P2P systems. The unstructured P2P systems adopt the flooding mechanism, which causes huge network burden. The Structured P2P systems, however, employs routing based on DHT, which results in an expensive topology maintenance. This paper will propose a semi-construct P2P model. Based on the research of the small world theory, this model combines the advantages of both unstructured and structured P2P systems. It can effectively improve the resource location efficiency,prevent the waste of network bandwidth by flood inquiry, and cut down the cost of topology maintenance. According to the mathematical model and the experimental results, the method features a searching success rate close to that of Chord with a smaller cost.
Maintenance built-in-test (MBIT) system of Flight control system is the major software for pre-flight test. As the flight control system is the core of a plane, its system testing and fault diagnosing has very importa...
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P300-Speller is a typical Brain-computer Interface (BCI) application, which aimed to construct a direct communication pathway between human brain and computer. Its performance declines as time goes by. And it can caus...
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To simply determine the accuracy of multi-axis laser welding path, this article proposes a hybrid dynamic modeling method for mechanical system with lumped elastic and flexible parts, based on finite segment and finit...
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Because debugging is notoriously time-consuming and laborious, fault localization becomes a major activity in software testing researches. This paper proposes a novel fault localization approach which utilizes interse...
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ISBN:
(纸本)9781612848372
Because debugging is notoriously time-consuming and laborious, fault localization becomes a major activity in software testing researches. This paper proposes a novel fault localization approach which utilizes intersection of control-flow based execution traces. It reports all program points, which are executed in every failed test case, as suspect of bugs and ranks them based on the frequency they appear in passed test cases. We develop a prototype tool named JFAULT which locates faults by reporting sorted suspicious program points. Programmers could examine them one by one until the fault was found. We conduct detailed experiments to compare our approach with previously proposed technique. The experimental results show that our approach has the potential to be effective in localizing faults.
Question and answer system, which is a full-text retrieval system based on dynamic knowledge library, is an important segment of remote education platform. Information retrieval technique is a key technology to make t...
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As a kind of effective way to improve the utilization ratio of the spectrum, more and more attention have been paid to the cognitive radio. This paper proposes an improved cognitive radio spectrum sharing model. In th...
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Although a lot of CAD systems and tools have developed for MEMS, there does not appear to be a means for solid-based modeling. In this paper, a modeling system based on three-dimensional solid model for surface microm...
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Kernel Principal Component Analysis (KPCA) is a widely used technique in the dimension reduction, de-noising and discovering nonlinear intrinsic dimensions of data set. In this paper we describe a reweighing kernel-ba...
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ISBN:
(纸本)9781612848372
Kernel Principal Component Analysis (KPCA) is a widely used technique in the dimension reduction, de-noising and discovering nonlinear intrinsic dimensions of data set. In this paper we describe a reweighing kernel-based classification method for improving recognition problem. Firstly, we map the training samples to the feature space by non-linear transformation, and then perform principal component analysis(PCA) using the selected kernel function in the feature space, and get the linear representation of testing samples in the feature space. Secondly, by using the idea of reweighting, we select the similarity between testing sample and each training sample as the weight of reweighting, then take the final weight as the criteria of classification. The experimental results demonstrate that our method is more accurate than Support Vector Machine (SVM) classification method and Linear Discriminant Analysis (LDA) classification. In addition, the number of training samples that our method need is much smaller than some other methods.
Our country is a multiracial nation. It is need to pay attention to the security of masses' life and property while ensure the economy of each nationality region. This article is to aim at the characteristics of t...
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