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93 results for “B. V.R. Reddy”
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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 · 6,976 accessesView PDFCite
Research ArticleOpen accessIn the author namesNutritional control of HIV-AIDS-A case for SeleniumParisa Kalantari, Hema Vunta, Umamaheswari D. Palempalli et al.Selenium (Se) is a micronutrient that is incorporated into proteins. Some of the selenoenzymes such as GPXs and thioredoxin reductases exhibit glutathione peroxidase-dependent activities towards organic and inorganic peroxides. Thus, selenoenzymes play a pivotal role in mitigating oxidative stress caused by accumulation of peroxides. In this respect, selenoproteins may interfere with the transcription-driven by oxidative stress-dependent signaling mechanisms to influence … …American Journal of Infectious Diseases, Vol. 3, Issue 4 · 31 Dec 2007 · 7,346 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 · 6,726 accessesView PDFCite
Research ArticleOpen accessIn the author namesA Switching Mechanism Detection to Reduce Complexity in Multiuser Detection for DS-CDMA SystemsRekha Agarwal, B. V.R. Reddy, K. K. AggarwalWe present a reduced complexity switching mechanism which uses either matched filter or Parallel Interference Cancellation (PIC) detector based on channel characteristics. The main criterion of taking PIC detector is that it has less Bit Error Rate (BER) and less processing delay than other nonlinear multiuser detectors. This proposed detector reduces overall complexity while maintaining the same performance as PIC … …Journal of Mathematics and Statistics, Vol. 2, Issue 2 · 30 Jun 2007 · 6,642 accessesView PDFCite