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It is indispensable for electric power companies to classify the electricity consumption behavior of residential customers, in order to understand the user's personalized demands and provide them with targeted services. K-means Clustering algorithm is one of the most popular methods for grouping the consumption patterns in previous studies. However, in traditional K-means algorithm, the initial clustering...
The paper introduces three texture analysis methods of ultrasonic images based on spatial domain method. Feature parameters, including mean, variance, contrast, homogeneity, angular second moment and entropy, are achieved from gray histogram statistic, gray level difference statistic (GLDS), gray level co-occurrence matrix (GLCM). Then the above statistical feature parameters are applied for texture...
Fineblanking combined with various metal-forming processes has been an important sheet metal forming process nowadays in industry. However, there are tremendous difficulties in process planning especially strip layout design. It still depends on the engineer's experience and know-how. This paper presents a knowledge-based system for strip layout design in fineblanking. The system speeds up the design...
The paper introduces a kind of approach for ultrasonic image categorization based on wavelet packet denoising and texture analysis. Firstly, the texture image denoising method based on wavelet packet transform modulus maximum is adopted aiming at texture images of complicated texture and abundant details. The method can maintain image details at the same time of denoising. Then by using gray level...
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