8 results for “V. Abhaikumar”

Research ArticleOpen accessIn the author namesSymbol Timing Estimation in Multiband Orthogonal Frequency Division Multiplexing based Ultrawide band SystemM. N. Suresh, S. J. Thiruvengadam, V. AbhaikumarProblem statement: The Multiband Orthogonal Frequency Division Multiplexing (MB-OFDM) Based Ultra Wideband system (UWB) is highly susceptible to symbol timing error. Symbol timing estimation in MB-OFDM based UWB is difficult due to the presence of strongest path at delayed instant. Approach: Symbol timing estimation has two steps namely a coarse estimation and a fine estimation. In this study, a maximum … …American Journal of Applied Sciences, Vol. 9, Issue 4 · 10 Feb 2012 · 7,108 accessesView PDF Cite

Research ArticleOpen accessIn the author namesQuaternion Photometric Stereo for Rotation Invariant Surface Texture ClassificationBalakrishnan Sathyabama, Srinivan Raju, Abhaikumar VaradhanProblem statement: The escalating growth of computer vision applications has increased the need for faster and more accurate image analysis algorithms. One application of image analysis that has been studied for a long time is texture analysis. The majority of existing texture analysis methods makes the explicit or implicit assumption that texture images are acquired from the same viewpoint. This … …American Journal of Applied Sciences, Vol. 8, Issue 10 · 20 Aug 2011 · 6,502 accessesView PDF Cite

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 · 7,396 accessesView PDF Cite

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 · 7,563 accessesView PDF Cite

Research ArticleOpen accessIn the author namesA Novel Method for Testing Digital to Analog Converter in Static RangeK. Hariharan, S. Gouthamraj, B. Subramaniam et al.Problem statement: Linearity testing methods for DAC usually involves usage of non-linear analog components, which are indeed prone to various errors. Few other testing methodologies involve complex circuitry for measuring exactitude of DAC. Practically, it is difficult to build those as Built In Self Test (BIST) due to complexity of calculation, which demands more usage of ALU (or core of … …American Journal of Applied Sciences, Vol. 7, Issue 8 · 31 Aug 2010 · 7,462 accessesView PDF Cite