To meet increasing QoS requirements of Web applications it is vital to design an efficient web server. This article describes a pipeline server architecture, which can get intra-request parallelism. Based on control t...
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ISBN:
(纸本)9789536114931
To meet increasing QoS requirements of Web applications it is vital to design an efficient web server. This article describes a pipeline server architecture, which can get intra-request parallelism. Based on control theory, we adopt predictor and feedback control methods to allocate threads of each stage dynamically. As a result, server can satisfy variant workloads adaptively. With the help of these ideas, we implement a novel kernel web server, KETA. Experiment results prove that KETA is an efficient kernel web server with high performance.
In order to predict the danger of coal and gas outburst in mine coal layer correctly, on the basis of the VLBP and LMBP algorithm in Matlab neural network toolbox, one kind of modified BP neural network was put forth ...
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In order to predict the danger of coal and gas outburst in mine coal layer correctly, on the basis of the VLBP and LMBP algorithm in Matlab neural network toolbox, one kind of modified BP neural network was put forth to speed up the network convergence speed in this paper. Firstly, according to the characteristics of coal and gas outburst, five key influencing factors such as excavation depth, pressure of gas, and geologic destroy degree were selected as the judging indexes of coal and gas outburst. Secondly, the prediction model for coal and gas outburst was built. Finally, it was verified by practical examples. Practical application demonstrates that, on the one hand, the modified BP prediction model based on the Matlab neural network toolbox can overcome the disadvantages of constringency and, on the other hand, it has fast convergence speed and good prediction accuracy. The analysis and computing results show that the computing speed by LMBP algorithm is faster than by VLBP algorithm but needs more memory. And the resuits show that the prediction results are identical with actual results and this model is a very efficient prediction method for mine coal and gas outburst, and has an important practical meaning for the mine production safety. So we conclude that it can be used to predict coal and gas outburst precisely in actual engineering.
Fragile watermarking techniques for digital content have been studied in the past few *** watermarks are used to determine if a piece of watermarked digital content has been tampered,and distinguish tampered areas fro...
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ISBN:
(纸本)9780972147903
Fragile watermarking techniques for digital content have been studied in the past few *** watermarks are used to determine if a piece of watermarked digital content has been tampered,and distinguish tampered areas from non-tampered areas without referring to the original digital *** this paper,a novel fragile watermarking scheme for image authentication is *** the initial value of the chaotic mapping,the fragile watermark is obtained by iterating several times of the chaotic *** watermark is then inserted into the two least significant bit（LSB） planes of the host *** proposed scheme can localize the tampers on the watermarked image by using to the high sensitivity on initial value of the chaotic ***,no host image is needed in watermark *** simulation results show the effectiveness,sensitivity and localization of tamper-proofing of this algorithm.
We contribute two new algorithms in this paper called PImGA and PIrIEA respectively in which we construct populations online in each iteration. Every iteration process in these two algorithms does not like the normal ...
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The new system studied in this paper is made of late-model single chip microcomputer and personal computer. It not only can monitor networks' frequency in real-time but also can calculate frequency variable then d...
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AHP is an optimum seeking method for multi-objective decision, combining triangular fuzzy number;the Fuzzy AHP can resolve the fuzzy problem in traditional AHP. Genetic algorithm is a method for resolving combinatoria...
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AHP is an optimum seeking method for multi-objective decision, combining triangular fuzzy number;the Fuzzy AHP can resolve the fuzzy problem in traditional AHP. Genetic algorithm is a method for resolving combinatorial optimization problem. In agile supply chain system, the suitable selecting of the partners in every link is a difficult and key problem, this paper will propose a partner selecting model based on fuzzy AHP and genetic algorithm for agile supply chain. In order to confirm the availability and feasibility of the model, we developed a prototype system base on *** platform. Finally, the running interface is shown.
Resource Reservation is an important technology to gurantee Quality of Service of users' requirements,the faults could lead reservation to *** paper put forward a method of resource reservation which constructing ...
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Resource Reservation is an important technology to gurantee Quality of Service of users' requirements,the faults could lead reservation to *** paper put forward a method of resource reservation which constructing a Resource Reservation Tree with corresponding *** the resource reserved before turns into invalidation, the substitute can be found directly in RRT and needn 't to initiate a process of discovery and negotiation *** method can avoid a failure of resource reservation and advance its reliability. Finally, related performance analysis for the algorithm was done.
Stern algorithm is a robust static software watermarking scheme. It can resist many common attacks except collusive attacks. In this paper we propose an improved Stern algorithm, make it has the ability of resisting c...
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Due to the convenience of Internet, people can search for whatever information they need and buy whatever they want on the *** the age of E-Commerce, it is difficult to provide support for customers to find the most v...
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Due to the convenience of Internet, people can search for whatever information they need and buy whatever they want on the *** the age of E-Commerce, it is difficult to provide support for customers to find the most valuable products that match their heterogeneous *** approaches to this so-called personalization problem adopt predefined formats to describe the customer *** always leads to distortion in eliciting requirement information and thus inaccurate *** this paper, we propose a personalized recommendation system using association rule mining and classification in *** requirements are extracted from text documents and transformed into a set of significant *** the transformed transaction records, a set of association rule are mined from database using Apriori ***-CB algorithm is applied to produce the best rules out of the whole set of *** best classifiers are then generated after the test and validation of those rules, aimed to predict the item labels for new customer requirements and thus assigns the corresponding class labels to the *** system analysis and design of the proposed recommendation system as well as the implementation of prototype are also presented.
Efficient broadcast scheduling in Ad hoc networks is important to avoid any conflict and to exploit channel resource *** broadcast scheduling problem (BSP) for Ad hoc is an NP-complete *** this paper, combination of f...
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Efficient broadcast scheduling in Ad hoc networks is important to avoid any conflict and to exploit channel resource *** broadcast scheduling problem (BSP) for Ad hoc is an NP-complete *** this paper, combination of fuzzy clustering and Hopfield neural network (FC-HNN) technique is adopted to solve the TDMA (time division multiple access) broadcast scheduling problem in Ad *** formulate it as discrete energy minimization problem and map it into Hopfield neural network with the fuzzy c-means strategy to find the TDMA schedule for nodes in a communication *** time slot is regarded as a data sample and every node is taken as a *** slots are adequately distributed to the dedicated node while satisfying the *** aim is to minimize the TDMA cycle length and maximize the node transmissions avoiding both primary and secondary *** results show that the FC-HNN had superior ability to solve the broadcast scheduling problem for Ad hoc over other neural network methods as well as improves performance substantially in terms of both channel utilization and packet delay.
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