Dr. S. Ramkumar
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Dr. S. Ramkumar

Associate Professor
Kalasalingam University, India

Highest Degree
Ph.D. in Human Computer Interaction from Karpagam University, India

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Area of Interest:

Computer Sciences
100%
Information Technology
62%
Software Engineering
90%
Computer Network
75%
Security
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Junwei, L., S. Ramkumar, G. Emayavaramban, M. Thilagaraj and V. Muneeswaran et al., 2019. Brain computer interface For neurodegenerative person using electroencephalogram. IEEE Access, 7: 2439-2452.
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  2. Fang, S., A.F. Hussein, S. Ramkumar, K.S. Dhanalakshmi and G. Emayavaramban, 2019. Prospects of electrooculography in human-computer interface based neural rehabilitation for neural repair patients. IEEE Access, 7: 25506-25515.
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  3. Ramkumar, S., X.Z. Gao, K.S. Kumar and G. Emayavaramban, 2018. Electro-oculogram based rehabilitation using bioengineering techniques for neural disorder person. J. Biomed. Imaging Bioeng., 2: 99-101.
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  4. Ramkumar, S., P. Nandhakumar and S. Kartheeswaran, 2018. Magic Book for Quantitative Aptitude and Reasoning (Master the Tricks in 10 days). 1st Edn., Bonfring Publisher, Coimbatore, India, ISBN-13: 9789387862135.
  5. Ramkumar, S., K.S. Kumar, T.D. Rajkumar, M. Ilayaraja and K. Sankar, 2018. A review-classification of electrooculogram based human computer interfaces. Biomed. Res., 29: 1078-1084.
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  6. Ramkumar, S., K.S. Kumar and P. Sumathi, 2018. JAVA for Beginners. 1st Edn., Scitech Publisher, India, ISBN-13: 9789385983580.
  7. Navamani, J.M.A., A. Kannammal and S. Ramkumar, 2018. A novel self constructing optimized-cascade classifier with an improvised Naïve bayes for analyzing examination results. Int. J. Pure Applied Math., 119: 3215-3232.
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  8. Jialu, G., S. Ramkumar, G. Emayavaramban, M. Thilagaraj, V. Muneeswaran, M.P. Rajasekaran and A.F. Hussein, 2018. Offline analysis for designing electrooculogram based human computer interface control for paralyzed patients. IEEE Access, 6: 79151-79161.
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  9. Emayavaramban, G., S. Ramkumar, A. Amudha and K.S. Kumar, 2018. Classification of hand gestures using FFNN and TDNN networks. Int. J. Pure Applied Math., 118: 27-32.
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  10. Elakkiya, A., S. Ramkumar, G. Emayavaramban and P. Buvaneswari, 2018. A survey of biometrics person identification system using EEG brain signal. Int. J. Pure Applied Math., 119: 3471-3475.
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  11. Deny, J., E. Muthukumaran, S. Ramkumar and S. Kartheesawaran, 2018. Extraction of respiratory signals and motion artifacts from PPG signal using modified multi scale principal component analysis. Int. J. Pure Applied Math., 119: 13719-13727.
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  12. Vasanthi, V., S.A.S.A. Alhammadi, S. Ramkumar and S. Kumar, 2017. Achieving security for data access control using cryptography techniques. Int. J. Scient. Res. Sci. Technol., 3: 172-182.
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  13. Ramkumar, S., K.S. Kumar and G. Emayavaramban, 2017. Nine states HCI using electrooculogram and neural networks. Int. J. Eng. Technol., 8: 3056-3064.
  14. Ramkumar, S., Barathkesavan and Hariharasubramanian, 2017. A review on classification of eye movement using electrooculography. Int. J. Adv. Res. Comput. Commun. Eng., 6: 36-40.
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  15. Ramkumar, S., 2017. Human brain. J. Brain Neurol., 1: 25-25.
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  16. Ramkumar, S. and K.S. Kumar, 2017. A hybrid approach for horizontal aggregation function using clustering. Int. J. Comput. Sci. Network, 6: 551-558.
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  17. Vidhya, V. and S. Ramkumar, 2016. A survey of techniques used to detect theselfish nodes in vanet. Int. J. Adv. Res. Manage. Architecture Technol. Eng., 2: 56-62.
  18. Sibi, V. and S. Ramkumar, 2016. Privacy reserving in multimedia big data using secure data repository system. Int. J. Adv. Res. Trends Eng. Technol., 3: 1-10.
  19. Shankar, A.M. and S. Ramkumar, 2016. Power-proficient communications in MIMO systems based on congestion control. Int. J. Adv. Res. Trends Eng. Technol., 3: 42-48.
  20. Ramkumar, S., K.S. Kumar and G. Emayavaramban, 2016. EOG signal classification using neural network for human computer interaction. Int. J. Control Theory Applic., 9: 223-231.
  21. Ramkumar, S. and K.S. Kumar, 2016. Querying unintelligible data on geospatial trajectory database. Int. J. Scient. Res. Sci. Technol., 2: 180-187.
  22. Ramkumar, S. and K.S. Kumar, 2016. A personalized scheme for incomplete and duplicate information handling in relational databases. Int. J. Eng. Sci. Res. Technol., 5: 360-369.
  23. Ramkumar, S. and G. Ganesaperumal, 2016. A feasibility study on big data integration and its methodologies for hadoop techniques using map reduce model. Int. J. Modern Trends Eng. Res., 3: 230-238.
  24. Pushpalatha, V. and S. Ramkumar, 2016. Enhanced privacy search in web and image search engine using greedy algorithm. Int. J. Adv. Res. Trends Eng. Technol., 3: 43-51.
  25. Deepa, A. and S. Ramkumar, 2016. Active resource and job allocation for power minimization in mobile cloud systems. Int. J. Adv. Res. Trends Eng. Technol., 3: 57-63.
  26. Abirami, R. and S. RamKumar, 2016. An anti-distortion routing system for video transfer in wireless networks. Int. J. Adv. Res. Trends Eng. Technol., 3: 24-32.
  27. Ramkumar, S., G. Emayavaramban and A. Elakkiya, 2014. A web usage mining framework for mining evolving user profiles in dynamic web sites. Int. J. Adv. Res. Comput. Sci. Software Eng., 4: 889-894.
  28. Ramkumar, S., A. Elakkiya and G. Emayavaramban, 2014. Data transfer model-tracking and identification of data files using clustering algorithms. Int. J. Latest Technol. Eng. Manage. Applied Sci., 3: 13-21.
  29. Karthik, R., S. Ramkumar and K. Sundaram, 2014. Data leakage identification and blocking fake agents using pattern discovery algorithm. Int. J. Innov. Res. Comput. Commun. Eng., 2: 5660-5667.
  30. Hema, C.R., S. Ramkumar and M.P. Paulraj, 2014. Idendifying eye movements using neural networks for human computer interaction. Int. J. Comput. Applic., 105: 18-26.
  31. Hema, C.R., M.P. Paulraj and S. Ramkumar, 2014. Classification of eye movements using electrooculography and neural networks. Int. J. Hum. Comput. Interact., 5: 51-63.
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  32. Elakkiya, A., S. Ramkumar and M. Suganya, 2014. A survey on different clustering algorithms and its techniques. Int. J. Innov. Scient. Res., 10: 443-445.
  33. Elakkiya, A., S. Ramkumar and G. Emayavaramban, 2014. Performance evaluation of mobile sensor network. J. Applied Eng., 2: 151-155.
  34. Ramkumar, S. and C.R. Hema, 2013. Recognition of eye movement electrooculogram signals using dynamic neural networks. Karpagam J. Comput. Sci., 7: 12-20.