Research ArticleOpen accessPhrase in the titleEdge Detection in Gray Level Images based on the Shannon EntropyBaljit Singh, Amar P. SinghMost of the classical mathematical methods for edge detection based on the derivative of the pixels of the original image are Gradient operators, Laplacian and Laplacian of Gaussian operators. Gradient based edge detection methods, such as Roberts, Sobel and Prewitts, have used two 2-D linear filters to process vertical edges and horizontal edges separately to approximate first-order derivative of pixel … …Journal of Computer Science, Vol. 4, Issue 3 · 31 Mar 2008 · 7,882 accessesView PDFCite
Research ArticleOpen accessIn the keywordsLarge Deviation, Basic Information Theory for Wireless Sensor NetworksKwabena Doku-AmponsahIn this research paper, we establish Shannon-McMillan-Breiman Theorem for Wireless Sensor Networks modelled as Coloured Geometric Random Networks. For, large n we show that a Wireless Sensor Network consisting of n sensors in [0; 1]d linked by an expected number of edges of order n log n can be transmitted by approximately [n(log n)2 πd/2/(d/2)!] H bits, where H is … …Journal of Mathematics and Statistics, Vol. 13, Issue 4 · 20 Oct 2017 · 7,117 accessesView PDFCite
Research ArticleOpen accessIn the abstractWhether Gaussian Nucleus Entropy Helps? Case in Point is Prediction of Number of Cesarean BirthsRamalingam ShanmugamIn this article, entropy in the collected data about the Gaussian population mean is traced from its embryonic stage as new data are periodically collected. The traditional Shannon's entropy has shortcomings from the data analytics point of view and it creates a necessity to refine the Shannon's entropy. Its refined version is named Gaussian Nucleus Entropy in this article. Advantages … …Current Research in Biostatistics, Vol. 6, Issue 2 · 31 Dec 2016 · 8,056 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordThe Conditional Sequence Information FunctionOsman GuzideProblem statement: A great deal of attention has been given to the theory of information. It has found its applications in science especially in the area of Biothecnology. Previous studies on the subject has been limited to either conditional or sequence problem solving. This study combines both conditional and sequence properties of the information function. By doing this, researchers can … …Journal of Mathematics and Statistics, Vol. 6, Issue 2 · 30 Jun 2010 · 8,054 accessesView PDFCite