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GPS with a global, all-weather, continuous real-time three-dimensional navigation and positioning capabilities, has a broad application value and development potential. GPS receiver with C / A code has advantage of cheap, small, easy to carry, from the results of position by C / A code GPS receiver outputting, researching the C / A code GPS receiver static positioning accuracy, has important practical...
In the process of disease diagnosis, determining the types of disease is very important. With the development of DNA microarray technology, the research on huge gene expression profile has become the focus of disease classification. This paper presents a method of classification of gene expression profile based on the adjacency matrix spectral decomposition. First, samples are mapped to a high-dimensional...
This paper builds a forecasting model of service marketing which was based on cluster analysis combining with decision tree, it depicts K-means algorithm, C5.0 algorithm of decision tree and design of building model, and applies the model on predicting whether a region users will accept the interactive service of cable television, by this way it finds the users group which shows the highest response...
With rapid development of modern intelligent traffic management, the measuring speed radar becomes an important device. Using Doppler principle, speed can be measured by obtaining frequency deviation signal of moving target. Traditional measuring speed method uses analog filter whose measuring accuracy is low and measuring speed is slow, so it's difficult to meet the requirements of modern intelligent...
Fault signal is always a problem that interferes with the operation of fiber board gluing control system. This paper proposes a Possibilistic C-Means (PCM) improved support vector data description (SVDD) method to construct a multi-classifier for the fault diagnosis of fiber gluing control system. In the proposed method, SVDD is employed to construct a multi-classifier for the fault diagnosis in the...
With the development of network technology, all kinds of events will be shown up as news rapidly on the World Wide Web. Internet users read the news and some of them give their comments online. It is important for crisis public relations, government decision-making and news impact analysis to understanding the netizens' comments on the news events. Due to the huge amount of news and comments on Web,...
Recently, as some technologies such as dynamic ports and payload encryption have been used by some P2P applications, so as to avoid auditing and monitoring, this make identification of P2P applications to be more difficult. To address this issue, we proposed a novel model which based on the behavior characteristics of flow in transport layer. This model not depends on only port or payload, so both...
As a renewable and clean energy source, wind power is being widely utilized all over the world. The uncertainty of wind speed, however, makes certain trouble for the development of wind power generation. In order to relieve the disadvantageous impact of wind speed intermittence on the connected power system, the wind power forecasting needs to be carried out. In this paper, a wind speed and power...
This paper proposes using single-point and particle swarm operators in evolutionary programming. The single-point operator has a good global optimizing ability and accuracy, however, its convergence speed decrease. Compared to the single-point operator, the features of particle swarm operator are in the direct opposite. The two operators are complementary to each other. In this paper, the two mutation...
In this paper, a fast and accurate bulk pickup algorithm based on viewport space is presented. The key point of the algorithm is determine the range of user-selected grid by classic ray picking method, then use the characteristics of grid data to judge pick up. To realize the algorithm with VTK(Visualization Toolkit) and analysis in the respects of feasible scope, pickup accuracy and speed, the results...
For the time-consuming problem of Adaboost face detection algorithm in the training classifier process, a detailed analysis of Adaboost algorithm is carried out, the four-point average method is proposed to speed up looking for the best weak classifier. Using this method, for each feature f, the corresponding feature value of all training samples are calculated and ordered from small to large, a average...
Time synchronization is the basis of real-time connecting in distributed battle simulation systems, which is an important issue for battle simulation. The time management of HLA and approaches of time synchronization in distributed battle simulation systems are introduced, and then grounded on the analysis of time synchronization on real-time connecting, the approach of RTXTimer-based time synchronization...
A cluster validity index for fuzzy partitions has two functions. One is to identify the number of clusters of an unlabeled data set. The other is to assess the clustering result of an unlabeled data set. The first function has been thoroughly investigated. However, no researchers attach importance to the second function. This paper devises an experiment to investigate the second function of current...
This paper focuses on the outlier detection algorithm based on frequent pattern (FP method). First we analyze the drawback of FP method, and then present an improved method (LFP method). Finally, we evaluate the two methods by using several datasets and the experiment results show that the LFP method outperforms the FP method in outlier detection.
A CFD study of the flow through vibrating screens has been conducted with moving body method of PHOENICS. The flow fields around the static and vibrating screens were calculated with laminar and turbulence models respectively, and the pressure-drop coefficients for both states were obtained. It was found that the flow field became very complex and vortex and backflow were produced because of the motion...
Corpus is the set of language materials which are stored in computers and can use computers to search, query and analyze for enterprise decision-makers. Automated text categorization has been extensively studied and various techniques for document categorization. But based on the current scarcity of Chinese corpus, especially in the field of text categorization, the Chinese categorization corpus is...
Question analysis is one of the important components in Question-Answering system. Since the existence of events, complex question analysis becomes extremely difficult. Using semantic role labeling based on CRFs, event extraction provides effective support to formal description for semantic information of the complex questions. The semantic model built according to this method improves the accuracy...
For a long time, the cause of diabetes has been an unsolved problem. And with the deepening of diabetes research, much information has been collected. There may contain lots of interesting information within the collected medical information. But, the traditional medical methods can only study the human organ from the microscopic view, and lack of the capability of process large medical data set....
Based on direct sequence spread spectrum code and varies frequencies, the terrestrial pseudo ranging system have high precision and strong anti-jamming capability and could enhance the navigation accuracy of aircraft by fusion with Integrated Navigation System (INS). A fusion method of pseudo-range measurements and inertial sensor data in INS/Pseudo-Range navigation system was proposed in this paper...
This paper proposes a Support Vector Machine integration methodology, which is based on dynamic selection method. Using FCM-SD algorithm, an improved method from FCM and closeness degree algorithms, the effective neighborhood of the discriminated sample is determined. Furthermore, based on the accuracies of segment classifications, a set of optimal individual classifiers are selected. Finally a weighted...
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