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24 results for “S. S. Ramakrishnan”
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Research ArticleOpen accessIn the author namesOptimal Power Control with Overhearing Avoidance for Wireless Sensor NetworksM. Ramakrishnan, P. Vanaja RanjanProblem statement: Extending lifetime of the battery operated wireless sensor nodes through the design of low power medium access control protocols dealt in this study. Approach: In this study energy efficient Optimal Power Control MAC with Overhearing Avoidance (OPC-OA) was proposed. The transmission power of every node was dynamically changed for the optimal connectivity between nodes. The optimal transmission power … …Journal of Computer Science, Vol. 5, Issue 4 · 30 Apr 2009 · 7,131 accessesView PDFCite
Research ArticleOpen accessIn the author namesClassification of Pressure Range Based on the Characterization of Escherichia coli Cell Disruption in High Pressure HomogenizerRamakrishnan Nagasundara Ramanan, Beng Ti Tey, Tau Chuan Ling, Arbakariya B. AriffProblem statement: High pressure Homogenizer was used for cell disruption in many studies. But no work was carried out to study the characteristics of cell disruption in a wide range of pressure. Approach: The characteristics of Escherichia coli cell disruption was studied in Avestin small scale homogenizer by varying the operating pressure (50-1500 bar), cell concentration in the feed (1.39-12.51 … …American Journal of Biochemistry and Biotechnology, Vol. 5, Issue 1 · 31 Mar 2009 · 9,626 accessesView PDFCite
Research ArticleOpen accessIn the abstractA CNN-KNN Based Recognition of Online Handwritten Symbols within Physics Expressions Using Contour-Based Bounding Box (CBBS) Segmentation TechniqueUjwala Kolte, Sachin Naik, Vidya KumbharArtieres, T., Marukatat, S., & Gallinari, P. (2007). Online Handwritten Shape Recognition Using Segmental Hidden Markov Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(2), 205–217. https://doi.org/10.1109/tpami.2007.38 Baró, A., Riba, P., Calvo-Zaragoza, J., & Fornés, A. (2019). From Optical Music Recognition to Handwritten Music Recognition: A baseline. Pattern Recognition Letters, 123, 1–8. https://doi.org/10.1016/j.patrec.2019.02.029 Bresler, M., Prua, D., & Hlavác, … …Journal of Computer Science, Vol. 20, Issue 7 · 7 May 2024 · 6,278 accessesView PDFCite