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In order to acquire continuous network connectivity for client without considering the physical location of the user, a new structure designing distribution algorithm on the mobile computing network was established. The design distribution algorithm could account for the host mobility and physical constraints. Firstly, the development of mobile network was introduced. Then the system model was established...
Train Location information is important for train control system. As for the train locating using GNSS technology, validation of location data is important. The railway yard has to be traversed several times in data validation process. Computer simulation technology is used to simulate yard-traversing repeatedly for some difficult situations. A new optimal continuous traversal algorithm is proposed...
A new online fault diagnosis algorithm based on likelihood ratio and Tabu search (TS) is proposed for the uncertainties caused by many factors, such as mal-operation and non-operation of circuit breaker or relay, data-transmission error of loss and the inaccurate time of the protective operation in distribution networks. First, the likelihood ratio is represented and the model for fault diagnosis...
Instance selection is about algorithms that search for a representative portion of data that can fulfill a data mining task as if the whole data is used. It is a very important data reduction technique, which can spare much memory and running time for data mining algorithms. This paper proposes a new method for Instance Selection by using Polar Grids (ISPG). The main idea is to search for a subset...
There are many methods for digital image stabilization. In this paper, a fast algorithm for the digital image stabilization is proposed that use background small area for digital image stabilization. Background areas are some parts of image that have not motion object and they are suitable for global motion estimation. by using background area most of the computations for calculation of global motion...
The distribution network planning is a complex combinatorial optimization problems, Based on the suboptimal solution instead of solving the optimal solution when the time complexity of the problem from the point of view, Adjust the traditional model base on it does not need Solution Accuracy, the distribution network planning problem is divided into two stages. Then using ant colony algorithm search...
A local outlier mining algorithm is put forward based on the partition of subspaces. The algorithm first divides the data set into disjoint subspaces, using the degree of skewness to measure the pros and cons of the space division, and adopting the particle swarm optimization algorithm to search the optimal partition of subspaces set; then aiming at each optimal partition of subspaces to calculate...
As a basic function of Vehicle Navigation System, the shortest route algorithm has been a research hotspot in vehicle navigation field. Because of real time requirement of the practical system, it is necessary to optimize Dijkstra algorithm - a typical single-source shortest route algorithm. Based on the analysis of the temporal complicacy and spatial complicacy of Dijkstra algorithm, this paper presents...
A difficult class of problems is the class of combinatorial optimization problems. This is because the search space of such problems is often grown exponentially when the size of the problem grows. There are some known solving techniques to tackle such problems of which the most popular ones are: mathematical methods, constraint programming and local search. Each technique has its own advantages and...
Traditional optical flow techniques applied to object tracking generally perform global searching and calculations of brightness and light intensity of the object in the image. In addition, traditional optical flow techniques assume that the light intensity is constant across a series of consecutive images. The goal is to obtain the displacement and moving direction of an object in a series of images...
The swarm intelligence is attracted by scholars in many fields by its special advantages, and its theories and applications have been developed greatly. As a representative method of swarm intelligence, ant colony optimization (ACO) is used widely because of its realization simply, positive feedback and distribution. The review of the new applications for ACO and its prospect are given in this paper.
In text classification, effective feature selection is essential to make the learning task more efficient and accurate. This paper proposes a new feature selection algorithm based on Immune Clonal Selection Algorithm (ICSA) for medical text classification according to the characteristics of medical document. It considers that the affinity based on Jeffries-Matusita distance and the clone operator...
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