Classifiers in Image processing

Image classification is a necessary step in pattern recognition, the efficiency and accuracy mainly depends on the classification .To do the successful classification pre-processing, segmentation, at last feature extraction have to do. Recognition rate depends on all the steps but classification has its own importance in pattern recognition. Some important classifier such assupport vector machine (SVM),artificial neural network(ANN), decision tree, KNN etc. All has their importance in one or the other way. In this paper there is a discussion about many classifiers

A Survey on Feature Extraction Techniques for Handwritten Character Recognition

The efficiency and accuracy of the optical character recognition system is very much dependent on the appropriate choice of the feature extraction techniques used. In the field of pattern recognition hand written character recognition is an interesting field of research. If the features calculated or observed for a character are enough and complete to specify it then classification errors can be minimized. So feature extraction plays a vital role in the handwritten character recognition. This paper describes about the different techniques of feature extraction

An Effectual Hybrid Approach Using Data Encryption Standard (DES) and Secured Hash Algorithm (SHA) for Image Steganography

Today Security of data is of foremost importance in today’s world. Security has become one of the most important factor in communication and information technology. For this purpose steganography is used. Steganography is the art of hiding secret or sensitive information into digital media like images so as to have secure communication. In this paper we present and discuss LSB (Least Significant Bit) based image steganography with DES SHA algorithm so as to provide an extra layer of security

Identification, Analysis & Empirical Validation (IAV) of Object Oriented Design (OO) Metrics as Quality Indicators

Metrics and Measure are closely inter-related to each other. Measure is defined as way of defining amount, dimension, capacity or size of some attribute of a product in quantitative manner while Metric is unit used for measuring attribute. Software quality is one of the major concerns that need to be addressed and measured. Object oriented (OO) systems require effective metrics to assess quality of software. The paper is designed to identify attributes and measures that can help in determining and affecting quality attributes. The paper conducts empirical study by taking public dataset KC1 from NASA project database. It is validated by applying statistical techniques like correlation analysis and regression analysis. After analysis of data, it is found that metrics SLOC, RFC, WMC and CBO are significant and treated as quality indicators while metrics DIT and NOC are not significant. The results produced from them throws significant impact on improving software quality

Research Output of some Selected Indian Medical Research Institutions (2007-2011)

Research is the backbone of any subject field, not just required to be undertaken for its survival and sustenance but also for the furtherance of subject scope. Most of the research activities undertaken at any level are aimed towards the welfare and betterment of living being and humans being the first consideration. Medical research has always been the supreme fantasy of humans as it has got direct bearing upon human health and longevity of life. In the present study attempt has been made to have an analysis of medical literature produced in four most primer medical and research institutions of India. To undertake the study, data was retrieved from Web of Science, Thomson Reuters on November 08, 2012 and the analysis is being undertaken on those publications only identified on this particular databank. The study is undertaken with the view to assess the general publication trend of medical sciences in India by undertaking four primer medical institutions under study. Study of the related literature has also been undertaken so as to develop better understanding of the concept and thereby help in the furtherance of its scope

Research Output of some Selected Indian Medical Research Institutions (2007-2011)

Research is the backbone of any subject field, not just required to be undertaken for its survival and sustenance but also for the furtherance of subject scope. Most of the research activities undertaken at any level are aimed towards the welfare and betterment of living being and humans being the first consideration. Medical research has always been the supreme fantasy of humans as it has got direct bearing upon human health and longevity of life. In the present study attempt has been made to have an analysis of medical literature produced in four most primer medical and research institutions of India. To undertake the study, data was retrieved from Web of Science, Thomson Reuters on November 08, 2012 and the analysis is being undertaken on those publications only identified on this particular databank. The study is undertaken with the view to assess the general publication trend of medical sciences in India by undertaking four primer medical institutions under study. Study of the related literature has also been undertaken so as to develop better understanding of the concept and thereby help in the furtherance of its scope

A novel malaria vaccine candidate antigen expressed in Tetrahymena thermophila

Development of effective malaria vaccines is hampered by the problem of producing correctly folded Plasmodium proteins for use as vaccine components. We have investigated the use of a novel ciliate expression system, Tetrahymena thermophila, as a P. falciparum vaccine antigen platform. A synthetic vaccine antigen composed of N-terminal and C-terminal regions of merozoite surface protein-1 (MSP-1) was expressed in Tetrahymena thermophila. The recombinant antigen was secreted into the culture medium and purified by monoclonal antibody (mAb) affinity chromatography. The vaccine was immunogenic in MF1 mice, eliciting high antibody titers against both N- and C-terminal components. Sera from immunized animals reacted strongly with P. falciparum parasites from three antigenically different strains by immunofluorescence assays, confirming that the antibodies produced are able to recognize parasite antigens in their native form. Epitope mapping of serum reactivity with a peptide library derived from all three MSP-1 Block 2 serotypes confirmed that the MSP-1 Block 2 hybrid component of the vaccine had effectively targeted all three serotypes of this polymorphic region of MSP-1. This study has successfully demonstrated the use of Tetrahymena thermophila as a recombinant protein expression platform for the production of malaria vaccine antigens