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The performance of code division multiple accesses in sensor networks is limited by multiple access interference (MAI). In this article, we propose a frequency division technique to reduce the MAI in a DS-CDMA sensor network. Our proposal also reduces the energy consumption of the network. In the model, first a new clustering technique is used over several numbers of randomly deployed sensor nodes...
Image clustering and categorization is a means for high-level description of image content. In the field of content-based image retrieval (CBIR), the analysis of gray scale images has got very much importance because of its immense application starting from satellite images to medical images. But the analysis of an image with such number of gray shades becomes very complex, so, for simplicity we cluster...
Edge detection is a problem of fundamental importance in image analysis. Many approaches for edge detection have already revealed more are waiting to be. But edge detection using K-means algorithm is the most heuristic and unique approach. In this paper, we have proposed an algorithmic technique to detect the edge of any kind of true gray scale images considering the artificial features of the image...
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