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Building a self — adaptive framework which based on the policy library implementation, the most basic and important is how to build a reasonable structure policy library model to optimize the performance of the overall framework. We discuss a adaptive policy library construction algorithm FCART which based on the CART-binary decision tree growing algorithm. Against the dynamic characteristics of actual...
This paper analyses the deficiency of SVM-RFE feature selection algorithm and puts forward a new feature selection method combined with SVM-RFE and PCA. Firstly, we get the optimal feature subset through the method of cross validation based on SVM-RFE. Then, we use the PCA method to analyse the main component about optimal feature subset and get a lower-dimension and independent data sets which are...
Since the present algorithms are on the assumption of correct beacon information, when the network is attacked, especially the beacons are captured by opponents, all algorithms will not work. To address this issue, one attack-resistant nodes localization algorithm we call VDV-Hop(Voting DV-Hop) which is on the basis of DV-Hop algorithm and based on the voting mechanism is presented. This algorithm...
2D barcode images are always obtained in the complex background or uneven illumination situation. Basing on wavelet multi-resolution analysis, we propose a novel binarization method to 2D barcode images. Extracted from low frequency of the sub-image after wavelet decomposing, the feature vector is used as the adaptive threshold of the binarization process to the original image. By optimizing the threshold...
It introduces the association rules correlation theory in detail, and analysis the classical Apriori algorithm performance, makes the improvement to it. Before the natural connection to generate the candidate set, conducting a pruning process based on the concept lattice similarity, to reduce the number of connected set, thus to reduce the generation of candidate item sets size, to reduce the number...
The standard FCM is sensitive to noise deficiencies. To solve this problem, this paper presents an adaptive FCM algorithm. By way of combining cluster validity function into FCM algorithm, the adaptive identification of the cluster Numberc can be realized The experimental results show that, the improved algorithm is a robust and efficient remote sensing image ossification method
This paper is concerned with how to accurately position and find an optimal path through Vehicle Navigation System. This article designed a vehicle dynamic navigation system based on Internet of Things, by using the improved Ant Colony Algorithm. Through computer simulation, we obtained two simulation figures of static navigation route and dynamic navigation route. Besides, the driving directions...
Solving linear equations is key in many scientific research and engineering computing, in order to solve effectly large-scale linear matrix equalities, the traditional algorithm for solving linear equations is analysed and iterative methods is introduced to improve efficiency and reduced storage and algorithm simple. The methods suggested conjugate methods is an effective in storage and compution.
Research on de-noising algorithm is of considerable importance in the field of image processing, and most of the research efforts about wavelet image de-noising focus on how to select the threshold. In this article, a new adaptive de-noising algorithm based on multi-wavelet transform is proposed in order to remove the Gaussian noise from the blurred image. Firstly, Gaussian noise deterioration of...
In order to solve the transfer function modelling and controller parameter optimization of control systems, a novel design scheme is presented based on prony and particle swarm optimization (PSO) method. In this scheme, an impulse signal is applied to the input of controlled member firstly, and then output signal is estimated by prony analysis to get the transfer function. Finally, controller parameter...
D-S Theory, as the Artificial Intelligence method of uncertainty reasoning, has become the hotspot and difficult point in Artificial Intelligence research area. Especially the inconsistent problem during the conventional D-S Synthesized Algorithm has become the focus of many researchers and scholars. Many new and improved algorithms appeared endlessly afterwards. This paper analyses impact evidences,...
Spatial clustering is one of the important tasks of data mining, particle swarm optimization(PSO) algorithm has fast convergence and global optimization ability of the search features. In this paper, we present a Particle Swarm Optimization (PSO) clustering algorithm based on similarity, and improve the corresponding fitness function. Contrary to using Euclidean distance, this algorithm performs a...
Multi-signature has become increasingly important in the field of the digital signatures. The enterprise document multi-signature transmission system design is studied. The enterprise document signature is divided into two parts: in order and without order. In this paper signature without order is discussed and the broadcasting multi-signature is proposed to solve the multi-signature in the enterprise...
This article proposes an improved watershed algorithm based on morphological, using morphological open and close reconstruction to reduce the noise of image. Besides, with the Weber Perception Principle, it divides the morphological gradient image in the form of gray scale and non-linear and marked the gradient image with Watershed Algorithm. So it solved the over-segmentation problem of traditional...
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