Ant colony optimization (ACO) is a population-based metaheuristic technique to solve combination optimization problems effectively. However, how to improve the performance of ACO algorithms is still an active rese...
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Ant colony optimization (ACO) is a population-based metaheuristic technique to solve combination optimization problems effectively. However, how to improve the performance of ACO algorithms is still an active research topic. Though there are many algorithms solving TSPs effectively, there is an application bottleneck that the ACO algorithm costs too much time in order to get an optimal solution. This paper revised pheromones in local and global update mode. a fast ACO algorithm for solving TSPs is presented in this paper. Firstly, a new pheromone increment model called ant constant, which keeps energy conversation of ants, is introduced to embody the pheromone difference of different candidate paths. Meanwhile, a pheromone diffusion model, which is based on info fountain of a path, is established to reflect the strength field of the pheromone diffusion faithfully, and it strengthens the collaboration among ants. Experimental results on different benchmark data sets show that the proposed algorithm can not only get better optima] solutions but also enhance greatly the convergence speed.
Aiming at the time delay existing in measuring process of stabilized platform motion attitude, a novel combined forecasting method based on hierarchical structure theory is proposed. AR(p) model and metabolism GM(...
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Aiming at the time delay existing in measuring process of stabilized platform motion attitude, a novel combined forecasting method based on hierarchical structure theory is proposed. AR(p) model and metabolism GM(I,I) model are employed as single models, and hierarchical structure based weight determining method is used to ascertain the weights of each single model. To improve the forecasting precision, residual errors are compensated with GM(1,1) model. At the end of the paper, simulation analysis with observed data from stabilized platform experiment is carried out, and the simulation results show that the method is effective.
In five-axis computer numerically controlled (CNC) machining of sculptured surface parts, the application of highspeed machining (HSM) is recognized as an economically viable manufacturing technology. Compared wit...
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In five-axis computer numerically controlled (CNC) machining of sculptured surface parts, the application of highspeed machining (HSM) is recognized as an economically viable manufacturing technology. Compared with the traditional CNC machining, high-speed machining not only can improve processing efficiency, but also effectively improve the surface quality. To meet the demands of high speed machining, this paper presents a spiral cutting operation strategy for high-speed machining. Based on the constant scallop height tool path, the initial contour-parallel tool path is firstly, created. Then, the spiral path is generated as a land of the diagonal curve between the offset curves by the initial tool path. At last, the tool path smoothing technology is applied to the generated tool path. This path strategy can ensure higher level of quality of the surface being machined, and has the longer single tool-path and less tool-path sharp corners. Therefore, the smooth spiral tool path can maintain the needs of high-speed machining. Based on these techniques, experimental results are given to verify the proposed approach.
A supply chain brings a competitive advantage and many benefits for its node enterprises, but at the same time it brings some risks. This paper introduces a supply chain risk assessment of manufacturing enterprise...
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A supply chain brings a competitive advantage and many benefits for its node enterprises, but at the same time it brings some risks. This paper introduces a supply chain risk assessment of manufacturing enterprises, and analyses the supply chain risk of manufacturing enterprises based on existing literature and research results. This paper presents the supply chain risk evaluation index system and does practical analysis.
UMHexagonS is a fast integer-pixel motion estimation algorithm adopted in H.264/AVC reference software, while in the real time applications, it still has many shortcomings, such as excessive search points and slow...
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UMHexagonS is a fast integer-pixel motion estimation algorithm adopted in H.264/AVC reference software, while in the real time applications, it still has many shortcomings, such as excessive search points and slow search speed. So, further improvement and optimization are needed for this algorithm. In this paper, a fast adaptive motion estimation algorithm is proposed based on the analysis of UMHexagonS algorithm. Many new technologies are applied in the novel algorithm, such as the dynamic search window, motion type adaptive search strategies, directional cross-shaped search, adaptive rectangle-diamond search, adaptive multi-levels octagon regional search and adaptive hexagon search. Experimental results show that the novel algorithm can reduce 10％-30％ time of motion estimation while keeping the video quality almost unchanged. In addition, both the sceneadaptive ability and real-time performance are strongly strengthened.
This thesis brings forward to a resolution of embedded remote surveillance based on the demand of reality. The system is centering on the embedded Linux and S3C2410,and basing on the Wi-Fi network to build the emb...
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This thesis brings forward to a resolution of embedded remote surveillance based on the demand of reality. The system is centering on the embedded Linux and S3C2410,and basing on the Wi-Fi network to build the embedded remote surveillance, which can capture video signal from USB digital camera and transport the signal to client through Wi-Fi network. The way of remote surveillance based on Wi-Fi network makes the traditional way trend toward digitalization, networking and intelligence.
In order to improve the utilization ratio of school computer resource, and achieve the fast response of school business automation information system, and offer convenient for multipurpose utilization of the all k...
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ISBN:
(纸本)9781467306898
In order to improve the utilization ratio of school computer resource, and achieve the fast response of school business automation information system, and offer convenient for multipurpose utilization of the all kinds of computer test, the application of the cloud computation and the visual technology was studied, and the requirement of VMware technology to all kinds of computer application in school. And the computing task of day to day OA information system, teaching test, teaching software and other things was applied in the data center of cloud computation management, and the computation resources will be shared fastly with the any device which was connect to the cloud endpoint in campus network.
A target quick searching strategy based on visual attention under the known formal context is proposed in paper. It can improve the efficiency of target searching with the computer algorithm of visual attention. T...
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A target quick searching strategy based on visual attention under the known formal context is proposed in paper. It can improve the efficiency of target searching with the computer algorithm of visual attention. The merit of our paper is the improvement of visual attention top-down guiding algorithm. The total visual attention process is divided into the process of visual information extraction and visual attention guiding in paper. The algorithm of visual attention guiding layer is designed. It can find the key feature of the target based on the calculation among the feature information of all objects in formal context of current task to guide the formation of bottom-up saliency map, and it can improve the efficiency of target searching further.
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