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To solve two main problems in task scheduling algorithms for real-time stream processing: the lack of consideration for links between tasks and the lack of support for dynamic scenes, this paper presents a new task scheduling approach. First, it concludes common scheduling scenarios on platforms for real-time stream processing. Second, it proposes matrix model of describing the real-time task scheduling...
Under the research and analysis on different types of clustering algorithms, focus on the limitation of the Jarvis-Patrick algorithm and other clustering algorithm based on SNN density, a new clustering algorithm is proposed in this paper, that is, Improved Clustering algorithm based on Local Gathering Features. The paper gives the definition of the Gathering Features during the procedure of the clustering,...
A novel intermediate view synthesis method based on disparity estimation is presented in this paper. Color distance is adopted to set truncation value adaptively when Belief Propagation (BP) algorithm is used in disparity estimation. In view interpolation, the left and right part of the image are divided into three kinds using strong and weak consistency constraints separately. Then different strategy...
Recent studies have shown mining compressed frequent itemset patterns provides more benefits than mining the closed frequent patterns, since mining compressed frequent itemset patterns leads to more compact and representative result sets. Especially, it is quite meaningful in the environment of data stream where limited memory space and computation quality are major challenges. In this paper, the...
An Improved Baptista algorithm based on conservative chaotic system is proposed in this paper. During encryption, the initial value of the chaotic system is updated timely. The plaintext is divided into groups at the length of a character. In the standard map, when the integer part of y is equivalent to the value of character's ASCII code, iteration is selected as the cipher text. And before each...
To model fuzzy dynamic capacity acquisition and assignment, the paper considers a fuzzy expected value model based on credibility theory and two-stage fuzzy optimization method. After that, a solution approach, which combines fuzzy simulations, neural network (NN) and genetic algorithm (GA), is designed to solve this proposed two-stage fuzzy dynamic capacity acquisition and assignment problem. At...
This paper describes a modified GMM based voice conversion method,in order to avoid the over-smoothed phenomena of traditional GMM conversion method, we adopt GMM method considering posterior threshold of each frame. We also considered the dynamic spectral features between frames to overcome the speech discontinuity problem,experiments show that our presented GMM method has shown better performance...
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