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In this work we identify interactions of stopwords -noisewords-in text corpora as a fundamental feature to effect author classification. It is convenient to view such interactions as graphs wherein nodes are stopwords and the interaction between a pair of stopwords are represented as edge-weights. We define the interaction in terms of the distances between pairs of stopwords in text documents. Given a list of authors, graphs for each author is computed based on their undisputed writings. Authorship of a test document is attributed based on the closeness of the graph derived from it to the above graphs. Towards this, we define a closeness measure to compare such graphs based on the Kullback-Leibler divergence. We illustrate the accuracy of our approach by applying it on examples drawn from the Gutenberg archives. Our results show that the proposed approach is effective not only in binary author classification but also performs multiclass author classification for as many as 10 authors at a time and compares favourably with the state-of-the-art in author identification.

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Transformer bushings are one of the important components in the construction of high voltage power transmission. The structure and materials used in electrical bushings play a vital role in the durability and lifespan of the bushing. Although the cost of transformer bushing is very minimal in the transmission system extensive damages are caused in case of failure. The main reason of failure in the insulation materials are caused due to moisture ingress and formation of voids, cavities. When the appropriate material is used along with an optimized structure, the electric field is distributed evenly which reduces the stress and increases the longevity of the bushing. In this paper, Finite Element Analysis(FEA) is used to calculate The ELECTRIC FIELD DISTRIBUTION and THERMAL(Temperature) Analysis is done for 765kV transformer bushing by using different insulating materials such as Epoxy Resin, Porcelain, Oil Impregnated Paper, Resin Impregnated Paper and Polymer.Henceforth, by using the above insulating materials the total stress level of the bushings corresponding to the net electric field distribution is in turn calculated using ANSYS 13.0Software. The results are compared and analysis is done for the different insulating materials. Based on the electric field distribution over bushing material, it is used to identify optimization of bushing design.

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