Mathsj

Phani Yedlapalli1, G.V.L.N. Srihari2, S.V.S.Girija3 and A.V. Dattatreya Rao4,  1Swarnandhra College of Engineering and Technology, India,  2Aurora Engineering College, India,  3Hindu College, India and 4Acharya Nagarjuna University, India ABSTRACT Minh et al (2003) and Toshihiro Abe et al (2010) proposed a new method to derive circular distributions from the existing linear models by applying Inverse stereographic projection or equivalently bilinear transformation. In this paper, a new circular model, we call it as stereographic circular normal moment distribution, is derived by inducing modified inverse stereographic projection on normal moment distribution (Akin Olosunde et al (2008)) on real line. This distribution generalizes stereographic circular normal distribution (Toshihiro Abe et al (2010)), the density and distribution functions of proposed model admit closed form. We provide explicit expressions for trigonometric moments.  KEYWORDS characteristic function...

Applied Mathematics and Sciences: An International Journal (MathSJ ) ISSN : 2349 - 6223 http://airccse.com/mathsj/index.html Submission Deadline : December 25, 2021 Here's where you can reach us : mathsj@airccse.com Submission System: https://airccse.com/submission/home.html Academia Profile URL: https://independent.academia.edu/mathsjournal #mathematics #sciences #algebra #markovchains #FuzzyLogic #NumericalAnalysis

Applied Mathematics and Sciences: An International Journal (MathSJ ) ISSN : 2349 - 6223 http://airccse.com/mathsj/index.html Submission Deadline : December 18, 2021 Here's where you can reach us : mathsj@airccse.com Submission System: https://airccse.com/submission/home.html

Mohammad masoud Javidi1, Majid Hajizade1 and Mehdi Jafari Shahbazi2, 1Shahid Bahonar University of Kerman, Iran and 2Islamic Azad University, Iran Abstract this paper presents a new image processing technique for brain tissue segmentation, precisely,in order to recognize brain diseases. Automatic level set(ALS) is a powerful method for segmenting brain tissues in MR images that uses spatial Fuzzy C-Means (SFCM) to set initial contour near the object’s boundaries in order to increasing the speed of algorithm. Themethod efficiency depends on selecting the optimized amounts of controlling parameter. In this paper, the ALSis improved by optimal regulating of controlling parameters. The proposedmethod contains two phases. In the first phase,the initial contour of ALS determined via the SFCM and image features are extracted. Then, the optimal controlling parameters of ALS are determined by a genetic algorithm.By applying image features and optimal controlling parameters to the generalized re...