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56 results for “Raju G”

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Research ArticleOpen accessIn the author namesImproving the Performance of Multivariate Bernoulli Model based Documents Clustering Algorithms using Transformation TechniquesPerumal Pitchandi, Nedunchezhian RajuProblem statement: Document clustering is the most important areas of data mining since they are very much and currently the subject of significant global research since such areas strengthen the enterprises of web intelligence, web mining, web search engine design and so forth. Generative models based on the multivariate Bernoulli and multinomial distributions have been widely used for text classification. … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,281 accessesView PDFCite
Research ArticleOpen accessIn the author namesHuman Behavior Classification Using Multi-Class Relevance Vector MachineB. Yogameena, S. Veera Lakshmi, M. Archana, S. Raju AbhaikumarProblem statement: In computer vision and robotics, one of the typical tasks is to identify specific objects in an image and to determine each object’s position and orientation relative to coordinate system. This study presented a Multi-class Relevance Vector machine (RVM) classification algorithm which classifies different human poses from a single stationary camera for video surveillance applications. Approach: First the … …Journal of Computer Science, Vol. 6, Issue 9 · 30 Sep 2010 · 7,390 accessesView PDFCite
Research ArticleOpen accessIn the author namesSupport Vector Machine-Based Human Behavior Classification in Crowd through Projection and Star SkeletonizationB. Yogameena, E. Komagal, M. Archana, S. Raju AbhaikumarProblem statement: Detection of individual’s abnormal human behaviors in the crowd has become a critical problem because in the event of terror strikes. This study presented a real-time video surveillance system which classifies normal and abnormal behaviors in crowds. The aim of this research was to provide a system which can aid in monitoring crowded urban environments. Approach: The proposed … …Journal of Computer Science, Vol. 6, Issue 9 · 30 Sep 2010 · 7,557 accessesView PDFCite
Research ArticleOpen accessIn the author namesImproving the Accuracy of Effort Estimation through Fuzzy Set Representation of SizeCh. Satyananda Reddy, KVSVN RajuProblem statement: The precision and reliability of the effort estimation is very important for the competitiveness of software companies. The uncertainty at the input level of the Constructive Cost Model (COCOMO) yields uncertainty at the output, which leads to gross estimation error in the effort estimation. Fuzzy logic-based cost estimation models are more appropriate when vague and imprecise information was … …Journal of Computer Science, Vol. 5, Issue 6 · 30 Jun 2009 · 7,085 accessesView PDFCite
Research ArticleOpen accessIn the author namesSynthesis of Coenzyme Q10Suryachandra Rao Ravada, Lakshma Reddy Emani, Machi Raju Garaga et al.Problem statement: CoQ10 is a key compound in ATP synthesis having wide number of health application especially for treating humans suffering from pathophysiological condition. The CoQ10 presently available in the market is solely derived from fermentation process. A commercially viable synthetic process is yet to be realized. Approach: The researchers described a new synthetic route for the preparation of CoQ10 … …American Journal of Infectious Diseases, Vol. 5, Issue 2 · 30 Jun 2009 · 9,005 accessesView PDFCite
Research ArticleOpen accessIn the author namesBinary Merge Coding for Lossless Image Data CompressionN. Subhash Chandra, M. Bala Raju, M. Arya bahanu et al.Problem statement: Image processing applications were drastically increasing over the years. In such a scenario, the fact that, the digital images need huge amounts of disk space seems to be a crippling disadvantage during transmission and storage. So, there arises a need for data compression of images. Approach: This study proposed a novel technique called binary merge coding for lossless … …Journal of Computer Science, Vol. 5, Issue 5 · 30 May 2009 · 6,861 accessesView PDFCite
Research ArticleOpen accessIn the author namesSkeleton Primitive Extraction Method on Textures with Different Nonlinear WaveletsV. V. Kumar, U. S.N. Raju, P. Premchand, A. SureshProblem Statement: A novel method for dominant skeleton extraction of textures using different nonlinear wavelet transforms is proposed in this study. In the present study 3×3 masks are used for extraction of skeleton primitives. For a 3×3 skeleton primitive there will be 29 skeleton primitive combinations. But the present study considered a skeleton primitive for the skeletonization purpose if and … …Journal of Computer Science, Vol. 4, Issue 7 · 31 Jul 2008 · 6,808 accessesView PDFCite
Research ArticleOpen accessIn the author namesClassification of Textures by Avoiding Complex PatternsV. V. Kumar, B. E. Reddy, U. S.N. Raju, A. SureshThe present research advocates a new method for texture classification based on primitive patterns. For this, an optimal set of eight simple patterns are selected based on their discrimination. The percentage of frequency of occurrences is computed for these patterns on entire texture image. Textures can be classified by using frequency of occurrences, for complex patterns also. The present research … …Journal of Computer Science, Vol. 4, Issue 2 · 28 Feb 2008 · 6,973 accessesView PDFCite
Research ArticleOpen accessIn the author namesParallel Algorithms for String Matching Problem on Single and Two Dimensional Reconfigurable Pipelined Bus SystemsS. Viswanadha Raju, A. Vinaya BabuWe considered string matching on LARPBS and 2D LARPBS. This has applications such as string databases, cellular automata and computational biology. The main use of this method is to reduce the time spent on comparisons in string matching by using LARPBS. We investigated exact string matching and approximate string matching problems. For these two sub problems, we obtained O (n) … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 6,530 accessesView PDFCite
Research ArticleOpen accessIn the author namesAn Innovative Technique of Texture Classification and Comparison Based on Long Linear PatternsV. Vijaya Kumar, B. Eswara Reddy, U. S.N. Raju, K. Chandra SekharanThe present paper proposes a method of texture classification based on long linear patterns. Linear patterns of long size are bright features defined by morphological properties: linearity, connectivity, width and by a specific Gaussian-like profile whose curvature varies smoothly along the crest line. The most significant information of a texture often appears in the occurrence of grain components. That’s why … …Journal of Computer Science, Vol. 3, Issue 8 · 28 Aug 2007 · 6,720 accessesView PDFCite