Earticle

Recently, there are some problems in the centralized management, such as centralized management, heavy burden, excessive number of virtual machine migration, lack of mutual cooperation mechanism between nodes, can't adapt to the cluster of change. Aiming at the limitations of centralized management method, this paper presents a distributed management method in cloud computing environment. The method achieve self-management node by using P2P thinking. According to the predetermined threshold node themselves decided to create a virtual machine, virtual machine migration and whether sleep to save energy consumption and other operations. This topology can be well adapted to large-scale changes in the cluster. The experimental results show that the distributed management method not only can effectively improve the quality of service, and can well satisfy the clusters of massive growth. It has a good robustness.

Human life easy with web search engines. But with day to day growth in web, proper information on the user search query is becoming difficult. User search some information on the web, search engines results in a large amount of web pages from his database in response of search related queries. For any user not possible to access all web pages. So need of a search engines (SE) that provide relevant information to a user search query. The technique called search engine optimization (SEO), to do so. SEO is a method that uses search principles for search engines to provide the higher ranking to the more suitable webpage. It can be done by applying various pages ranking algorithms. In this paper present a review on SEO techniques that are helpful for internet user to make available valuable data.

Opinion leaders in online social networks are important for a lot of applications in various fields such as public opinion propagation, marketing management, administrative science and even politics. There are often many kinds of relationships in an online social network. Detecting and identifying opinion leaders depending on any one kind of relationship is all accurate. In this paper, node importance analysis in multi-relationship online social network was proposed based on signaling spreading, and considering the characteristics of multiple relationships which would interrelate with each other. Through node importance, a novel opinion leaders detecting algorithm is proposed and approved to be efficient by experiments described in the paper.

Optimum active and reactive power dispatch is an inherent part of power system generation planning and it is the need of an hour for the electrical utilities and power engineers to dig this area in short and long term planning scenarios. Load demand requirements subjected to economic feasible solutions matching voltage profile, power demand, minimization of losses, voltage stability and improve the capacity of the system is the need of the hour. Optimization techniques based on evolutionary computing, artificial intelligence, search method finds their applications in the area of economic load dispatch planning to reach global optimal solution for this multi-decision, multi-objective combinatorial problem subjected to different constraints. In this paper, ant bee colony based algorithm has been proposed to solve economic dispatch problem. Unlike other heuristic algorithms, ABC utilizes search space as multi-step decision process. It possesses a flexible and well-balanced operator to enhance and adapt the global and fine tune local search to follow the minimum cost path in the search boundary. The suggested technique is tested on IEEE 25 bus system. Test results are compared with other techniques presented in literature.

For infrared images, the performance of texture details in the target scene is not good, and for visible images, the performance is constrained by illumination and environment. An image fusion method is proposed here, its characteristic is getting three different discrete wavelet fusion methods together. The method has three stages, in the first two stages, the infrared and visible images are fused using different wavelet fusion rules, the two fusion results from the first and the second stage are fused again using another wavelet fusion rule, and then we get the final fusion result. The result proves that, compared with the similar research methods, the proposed method can ensure the quality and enhance the spatial detail of the fused image.

In this paper, search simulation system is established to collect user clicking behavior. Empirical method is employed to study characteristics of results page which affect the user's clicks. Rankings, product brand information, retailer information, whether including product images, keywords length and other characteristics of the user click behavior are analyzed. The empirical results show that ranking is not the only factors that determine the result of click; well-known branded keyword or well-known retailer specific can improve click-through rate. Non well-known companies and non-famous retailer should get the top-ranking position to improve their ad clicks. User usually choose moderate length keyword to search. The article also firstly study the impact on commodity picture click-through rate (CTR). These conclusions have important guiding significance for advertisers to better carry out keyword ad activities.

Recent developments of robotics allocated many of industrial and medical activities. So that most of industries turned to use surgical robots in their production line or in their surgery. Being precise, spent less time-consuming, present uniform quality with less cost and reducing waste and energy are some advantages of using robots in industry. This paper has two important objectives: a) study on modeling and controlling of 4 degrees of freedom (DOF) based on Simscape software and b) design FPGA-based controller for this type of surgical robot manipulator. Simscape provides an environment for modeling and simulating physical systems. Simscape modeling can be designed to control and test system-level performance. Conventional PID controller is a stable linear type model-free controller that reduces the delay time in highly nonlinear system. In this research, linear controller need real time mobility operation, and one of the most important devices which can be used to solve this challenge is Field Programmable Gate Array (FPGA). FPGA can be used to design a controller in a single chip Integrated Circuit (IC). To design PID type FPGA-based controller two types algorithm are needed: derivative algorithm and integral algorithm. In HDL based derivative algorithm the minimum input arrival time before clock is 16.466 ns and the maximum frequency is 60.73 MHz, but in the best design action, the maximum frequency to design this single chip algorithm should be 63.629 MHz. In HDL integral algorithm the minimum input arrival time before clock is 15.599 ns and the maximum frequency is 64.1 MHz, but in the best design action, the maximum frequency to design this single chip algorithm should be 178.190 MHz.

As the rapid development of integration of informatization and industrialization (IoII), information overload become a serious problem in the knowledge platform for IoII. To address this issue, this paper introduces a hybrid framework based on the assessment system of IoII and user learning behavior. First, using the assessment specification on IoII for industrial enterprises, we establish the similarity model of IoII; then, the similarity model of user behavior is built based on three kinds of learning behaviors in the knowledge platform; at last, after studying the advantages and disadvantages of the two models, this paper proposes a linear fusion framework combining both models. With several experiment conducted, we get the optimal parameters in the framework, and the experimental results show that the proposed framework can achieve the better recommendation quality.

The study of exact solutions of nonlinear evolution equations plays an important role in soliton theory. In this paper, we concentrate on proposing to a new Wronskian condition for the Levi equations by utilizing the Wronskian technique, which will lead to a way of constructing new double Wronskian representation of solutions for the Levi equations. Furthermore, some soliton solutions from the particular form of Wronskian det