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In order to improve the efficiency of electrical patrol, we need to develop a scientific and reasonable patrol route planning. By analyzing the electrical route patrol work content and features, we establish a patrol route planning model based VRP, and use the improved ant colony algorithm to solve this problem. For traditional ant colony algorithm, improve the algorithms from the transition probability,...
We adopted the research method which combines the quality and quantity, theory and empirical research, and we also employed the multiple linear regression model to analyze the effect and sensitivity from the consumption of energy to economic growth. We wish this paper could provide a support to the future economic growth and optimization of policy for energy and industry of Beijing from theory to...
This paper analysis the research status of the system of Energy-economy-environment from three aspects of 3E system modeling, 3E system evaluation and 3E system optimization. Then, this paper introduces the function and framework of the energy-economy-environment sustainable development decision support platform. Finally, it expounds how to construct the 3E research model repository on existing 3E...
In order to reduce the financial risks of Oversea Merger and Acquisition, and determine the best loan credit structure model for Overseas Merger and Acquisition project, a novel loans credit evaluation model of Overseas Merger and Acquisition project based on Analytic Hierarchy Process was proposed in this paper. During the implementation period of Overseas Merger and Acquisition, a comprehensive...
The key indicator of the power enterprise management and operation' level is the safety, which is the basis of economic efficiency in power enterprises, whose level will affect the company's overall business objectives directly. Bayesian model is constructed in power enterprises security production and applied in the safety risk assessment in the paper. Finally we verify the validity of the model...
This paper proposes a new image denoising method BlockShrink. BlockShrink is a completely data-driven block thresholding approach and is also easy to implement. It utilizes the pertinence of the neighbor wavelet coefficients by using the block thresholding scheme. It can decide the optimal block size and threshold for every wavelet subband by minimizing Stein's unbiased risk estimate (SURE). BlockShrink...
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