M. V. Ramana Murthy

Devanagari Character Recognition: A Short Review

Optical character recognition is a vital task in the field of pattern recognition. English character recognition has been extensively studied by many researchers but in case of Indian languages which are complicated; the research work is very limited. Devanagari is an indian script used by huge number of indian people. Devanagari forms the basis for several indian languages including Hindi, Sanskrit, Kashmiri, Marathi and so on. This article presents a review of earlier research work related to devanagari character recognition along with some applications of optical character recognition system.

Data Preparation and Analysis for Andhra Pradesh Clusters

In this paper a band-limited detector has been investigated. Band-limited detector has been modeled as a FIR system. The algorithms, developed for inverse filter applications in the distorting system, has been coded in a programming language and applied to several examples using simulations, in the system output the desired undistorted input signal has been observed for distorting system.Naive Bayes is an popular and effective learningalgorithm in many domains to make prediction. Thisalgorithm has also been successfully applying forclustering and classification problems. Naive Bayes isused on large database where the attributes areconditionally independent. In this paper a naive Bayesclassifier for the application on a loan granting problemis considered where the variables are described in bothcrisp and linguistic forms. The linguistic form is basedon fuzzy rule base with IF…THEN rules. Firstly thevalues of some variables are converted from crisp forminto linguistic terms, and secondly the new linguisticvariables together with other crisp variables are used onthe same database. The developed software enables it toclassify the new instances to estimate the credit risk forthe loan granting.

Survey and Analysis of University Clustering

This paper gives on Clustering of Universities in the world with respect to their country policies OR local polices OR continent level polices with sub aims. So clustering method can generally apply when objective is specifically mentioned. For general objectives clusters are available in the form of logical or physical groups without networks. In this paper we emphasis on only University Clusters directly or University Clusters with some other clusters. Data miming methods are used for useful for Sampling Analysis and Clustering of Universities and Colleges with respect to local clusters [1] pp 1.

Estimation of Radar Alignment Parameters in Multi Sensor Data Fusion systems using MLE Technique

an essential component for C4I applications. Fusion of multiple radar information is needed to ensure more precise target position. To obtain tracking robustness, it is necessary to consider issues that degrade fusion estimation. Systematic errors caused by misalignment of radars degrade fusion estimation. . In multi sensor data fusion, improper alignment of radar sources and geo referencing errors leads erroneous fusion estimate To control such systematic errors , a software is developed by using Maximum Likelihood Estimation (MLE) technique. This paper explains the issues related to systematic errors caused by misalignment of radars and MLE method used for alignment parameter estimation with simulation results.