The benefits of using mobile sink to prolong sensor network lifetime have been well recognized. However, few provably theoretical results remain are developed due to the complexity caused by time-dependent network top...
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ISBN:
(纸本)9781424459889
The benefits of using mobile sink to prolong sensor network lifetime have been well recognized. However, few provably theoretical results remain are developed due to the complexity caused by time-dependent network topology. In this work, we investigate the optimum routing strategy for the static sensor *** further propose a number of motion stratifies for the mobile sink(s) to gather real time data from static sensor network, with the objective to maximize the network lifetime. Specially, we consider a more realistic model where the moving speed and path for mobile sinks are constrained. Our extensive experiments show that our scheme can significantly prolong entire network lifetime and reduce delivery delay.
Decentralized group key management mechanisms offer beneficial solutions to enhance the scalability and reliability of a secure multicast framework by dividing the whole group into subgroups. However, many of the prev...
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The hydrogen passivation is adopted to enhance the performance of poly-Si crystallized by YAG laser annealing(LA polySi).The effects of passivation time,passivation power and passivation temperature on the hall mobili...
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The hydrogen passivation is adopted to enhance the performance of poly-Si crystallized by YAG laser annealing(LA polySi).The effects of passivation time,passivation power and passivation temperature on the hall mobility of the LA poly-Si are investigated and the mechanism of the hydrogen passivation is preliminarily *** is found that the effect of the hydrogen passivation on the qulity of YAG laser annealed poly-Si is also correlated with the deposition method and the defect type in it.
Sectional views are widely used in engineering practice due to their clear and concise expression. However, it is difficult for computers to understand because of the large numbers of omitted entities and their divers...
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It is unfeasible to analyze the security events by the manual way for the security manager, because the number of the events is huge and the information contained in the events is meaningless. After analyzing the exis...
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N -sided hole filling plays an important role in vertex blending. Piegl and Tiller presented an algorithm to interpolate the given boundary and cross-boundary derivatives in B-spline form. To deal with the incompatibl...
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Over the past two decades, great efforts have been made to develop digital watermarking techniques for copyright protection or content verification of digital products. Currently, most of watermark detection methods a...
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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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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.
In this study, we propose a support vector machine (SVM)-based ensemble learning system for customer relationship management (CRM) to help enterprise managers effectively manage customer risks from the risk aversion p...
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In this study, we propose a support vector machine (SVM)-based ensemble learning system for customer relationship management (CRM) to help enterprise managers effectively manage customer risks from the risk aversion perspective. This system differs from the classical CRM for retaining and targeting profitable customers; the main focus of the proposed SVM-based ensemble learning system is to identify highrisk customers in CRM for avoiding possible loss. To build an effective SVM-based ensemble learning system,the effects of ensemble members' diversity, ensemble member selection and different ensemble strategies on the performance of the proposed SVM-based ensemble learning system are each investigated in a practical CRM case. Through experimental analysis, we find that the Bayesian-based SVM ensemble learning system with diverse components and choose from space selection strategy show the best performance over various testing samples.
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