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Photovoltaic(PV) power generation is one of the important ways to ensure that our country's energy security and realize the sustainable development of energy, but carrying on the investment risk assessment has become the focus of the difficulty and risk decision. Firstly this paper established its risk evaluation index system according to PV power project investment risk characteristics, and then...
This paper proposes the approach of analyzing risk of deep excavation engineering based on fuzzy theory. By using fuzzy mathematical method, the risk assessment model is established, and a practical method on fuzzy comprehensive assessment on risk of deep excavation engineering is proposed, and the practicability of this method is verified in a real engineering projects.
Over the years, Chinese automobile industry has made lots of achievements and has become the largest auto producer and consumer markets in the world. In order to know the domestic survival environment and international competitiveness of China's auto industry, this article built an industrial safety index system of the automobile industry, which is composed of 4 first-grade indexes and 15 second-grade...
For differential unitary space-time modulation (DUSTM), the bit-error performance is affected by the type of labeling. In this paper, we used the Binary Switching Algorithm (BSA) to optimize the labeling of cyclic constructed DUSTM constellation. Instead of time-consuming simulation, we constructed an easily-calculated cost function to estimate the impact of different types of labeling on the bit-error...
An adaptive band selection algorithm for dimension reduction of hyperspectral images is proposed. Considering the spatial correlation and spectral correlation, a selection rule, referring to spectral information and its correlation, is constructed for band selection. To test the efficiency of this algorithm, K-means algorithm for unsupervised classification was applied on images generated from the...
Transformer faults are quite complicated phenomena and can occur due to a variety of reasons. There have been several methods for transformer fault synthetic diagnosis, but each of them has its own limitations in real fault diagnosis applications. In order to overcome those shortcomings in the existing methods, a new transformer fault diagnosis method based on a wavelet neural network optimized by...
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