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Class imbalance problem has attracted a great attention in the field of ELM (extreme learning machine). Cost sensitive ELM was proposed to address class imbalance but it merely handled binary class imbalance and required to predefine misclassification costs subjectively. Boosting WELM has been presented to handle multi class imbalance, and performed well on improving the classification accuracy of...
This paper derives a new approach, named sinusoidal frequency modulation sparse recovery (SFMSR) for micro-Doppler (m-D) analysis, by exploiting the micro motion spectrum sparsity in SFM signal space. SFMSR employ the Fourier modulation dictionary, which is determined only by the “frequency in SFM signal space”. Unlike other SR-based methods whose dictionary is discretization of a 3D space parameterized...
Thermal insulation glazed hollow bead and ceramisite concrete aimed at building energy conservation of the development of the research of the structure of self- thermal insulation material. The performance optimization research on mechanical properties and thermal properties is the key problem in developing process. The objectives of performance optimization were proposed firstly. Based on the performance...
In order to improve boiler efficiency and reduce NOx emissions of a coal-fired boiler, a new solution strategy of combustion optimization is proposed is this paper. The key point of combustion optimization is the optimal setpoints of fuel and air parameters. As the development of electric industry, large amounts of history data are accumulated and data mining technique is applied to find some useful...
The small color-difference data obtained by printed sample were used to analyze and evaluate the color-difference forecast performance of CAM02-LCD, CAM02-SCD and CAM02-UCS color-difference formulae based on color appearance model, CIECAM02, the result was compared with the evaluation of CIE L*a*b*, CIEDE94, CMC (1:1), CMC (2:1) and CIEDE2000 classical color-difference formulae based on CIE L*a*b*...
The nutrition diet decision problems on Multi-objective optimization are solved by using Compromise Difference Evolutionary (DE) algorithm. This method is equipped with a domination selection operator to enhance its performance by favoring non-dominated individuals in the populations. DE is a population based search algorithm, which is an improved version of Genetic Algorithm (GA). Simulations carried...
Threshold segmentation is a critical technology of image segmentation. When the image is low signal-to-noise, the maximum between-cluster variance method (OTSU) cannot provide the ideal result. The 2D maximum between-cluster variance method can perform well with sharply increased computation. This work proposes a new image segmentation method based on OTSU and differential evolution. This solution...
The rational determination of operation optimization values is very important to economical analysis and operation optimization in power plant. Based on the correlation of operation data, the economical analysis and operation optimization based on data mining was proposed to guide the operation optimization. The basic structure of economical analysis and operation optimization based on data mining...
The determination of the optimal oxygen content is very important in power plant operation optimization. Due to the disadvantages of traditional ways, this paper proposed a new method to decide the optimal oxygen content based on incremental updating data mining. This method could determine the optimal oxygen content and related frequent items by fuzzy quantitative association rule mining algorithm...
As the development of electric industry, more and more real-time data is sent to databases by data acquisition system and large amounts of data are accumulated. Abundant knowledge exists in those historical data. It is meaning to analyze those historical data in electric industry and find useful knowledge and rules from the mass of data to provide better decision support and better adjustment guidance...
Coal-fired boiler combustion system in power plant is a complex multi-input and multi-output plant with strong nonlinear and large time-delay. The determination of the optimal excess air coefficient is very important for economical analysis and operation optimization and it is a difficulty and bottleneck for operation optimization in power plants. Based on the association characteristic in electric...
The equipments in power plant are closely related and interacted, and the relationships among the equipments are manifested by operation data. According to the actual operation data, the potential associations can be found and applied to guide the operation optimization in power plant. The characteristics of operation data and the methods of correlation analysis were discussed in detail to estimate...
Nodes in mesh overlay multicast system don't have fixed parent-children relationship like that in trees and form neighbors. But in data-driven mesh and based on pulling method, for each packet, it still follows a certain tree and the parent-children relationship does exist. While having the powerful peers stay closer to the source may improve the performance, we make the peers of high out bandwidth...
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