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— Feature selection refers to the problem of selecting relevant features which produce the most predictive outcome. In particular, feature selection task is involved in datasets containing huge number of features. Rough set theory has been one of the most successful methods used for feature selection. However, this method is still not able to find optimal(More)
An intelligent computer-aided diagnosis system can be very helpful for radiologist in detecting and diagnosing microcalcifications earlier and faster than typical screening programs. In this paper, Genetic Algorithm (GA) and New Particle Swarm Optimization (NPSO) algorithm are proposed for feature selection, and their performance is compared. The Spatial(More)
Transformation model plays a vital role in medical image processing. This paper describes a new Transformation model (NTM) which is hybrid of linear and non linear Transformations techniques for the detection of tumor. In NTM, patient image is compared with reference images, which is block based. An image similarity measure quantifies the degree of(More)
Rapid and innovative improvement in wireless communication technologies has led to an increase in the demand for mobile internet transactions. However, internet access from mobile devices is very expensive due to limited bandwidth available on wireless links and high mobility rate of mobile hosts. When a user executes a transaction with a web portal from a(More)
Maps are used to describe far-off places. It is an aid for navigation and military strategies. Mapping of the lands are important and the mapping work is based on (i). Natural resource management & development (ii). Information technology ,(iii). Environmental development ,(iv). Facility management and (v). e-governance. The Landuse / Landcover system(More)
This study presents design and implementation of an efficient skeletal bone age assessment (BAA) procedure based on features extracted from two dominant wrist bone structures (radius & carpal bones). System works according to renowned Tanner & Whitehouse (TW2) method, based on carpal and epiphyseal region of interest (ROI). It ensures accurate and robust(More)
— This paper presents the development procedure of feature extraction and analysis of the features extracted from left hand wrist radiographs, which could be further used in estimating the skeletal maturity or bone age. Bone Age Assessment (BAA) is a procedure used in the management and diagnosis of endocrine disorders. It also serves as an indication of(More)
This paper introduces a novel Bi-directional DC-DC converter with artificial neural network controller (ANN).Bidirectional power flow is obtained by the same power components and provides a simple, efficient, and galvanically isolated converter. In the presence of DC mains the converter operates as buck converter and charges the battery. When the DC main(More)
This paper presents the comparative study on four computerized skeletal Bone Age Assessment (BAA) methods using the partitioning technique. The four systems studied work according to the renowned Tanner and Whitehouse (TW2) method, based on the Region of Interest (ROI) taken from the wrist bones. The systems ensure accurate and robust BAA for the age range(More)