Abstract-The technological revolution of this decade ha-s certainly brought about many changes in the functioning of libraries nowadays. Although it has allowed work to be carried out faster and more efficiently, many library professionals are not comfortable with the implementation of technology as it involves change and uncertainty. As a result, they develop additional stress known as techno stress which may have negative impact in the activities of libraries.This study intends to find out the relationship between the personality type and techno stress among library professionals of engineering colleges of Anna University Technology, Coimbatore based on a questionnaire, comprising of demographic factors and personality type and techno stress of the respondents. The results of the study are presented with suitable hypotheses and relevant interpretation.

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The forgery of digital images became very easy and it’s very difficult to ascertain the authenticity of such images by naked eye. Among the various kinds of image forgeries, image splicing is a frequent and widely used technique. Even though various methods are available to detect image splicing forgery, authors have attempted to provide a novel hybrid method which can yield greater accuracy, sensitivity and specificity. In this method, gray level co-occurrence matrix (GLCM) features are extracted using local binary pattern (LBP) operator on the image and the detection of the splicing forged images among the authentic images is done using the popular pattern recognition algorithms such as combined k-NN (Comb-KNN), back propagation neural network (BPNN) and support vector machine (SVM). The recorded results are also compared with the existing results of the previous studies to ascertain the quality of the results.

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