J. MACKLIN ABRAHAM NAVAMANI

@Karunya.edu

Associate Professor
Karunya Institute of Technology and Sciences

J. MACKLIN ABRAHAM NAVAMANI


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https://researchid.co/jmacklin

RESEARCH INTERESTS

Cybersecurity
4

Scopus Publications

70

Scholar Citations

4

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • A review on modern electrooculography based human computer interfaces
    International Journal of Advanced Science and Technology, 2020
  • Offline study for implementing human computer interface for elderly paralysed patients using electrooculography and neural networks
    S. Ramkumar, K. Sathesh Kumar, K. Maheswari, P. Packia Amutha Priya, G. Emayavaramban, J. Macklin Abraham Navamani
    International Journal of Intelligent Enterprise, 2020
    Earlier day's people with disability face lot of difficulty in communication due to neuromuscular attack. They are unable to share ideas and thoughts with others so they need some assist to overcome this condition. To overcome the condition, in this paper, we discussed the capabilities of designing electrooculogram (EOG)-based human computer interface (HCI) by ten subjects using power spectral density techniques and neural network. In this study, we compare the right hander performance with left hander performance. Outcomes of the study concluded that lefthander performance was marginally appreciated compared to right hander performance in terms of classification accuracy with an average accuracy of 93.38% for all left hand subjects and 91.38% for all the right subjects using probabilistic neural network (PNN) and also we analysed that during the training left handers were interestingly participated and also they can able to perform the following eleven tasks easily compared with right handers.
  • Predicting performance of schools by applying data mining techniques on public examination results
    J. Macklin Abraham Navamani, A. Kannammal
    Research Journal of Applied Sciences Engineering and Technology, 2015
    This study work presents a systematic analysis of various features of the higher grade school public examination results data in the state of Tamil Nadu, India through different data mining classification algorithms to predict the performance of Schools. Nowadays the parents always targets to select the right city, school and factors which contributes to the success of the results in schools of their children. There could be possible effects of factors such as Ethnic mix, Medium of study, geography could make a difference in results. The proposed work would focus on two fold factors namely Machine Learning algorithms to predict School performance with satisfying accuracy and to evaluate the data mining technique which would give better accuracy of the learning algorithms. It was found that there exist some apparent and some less noticeable attributes that demonstrate a strong correlation with student performance. Data were collected through the credible source data preparation and correlation analysis. The findings revealed that the public examinations results data was a very helpful predictor of performance of school in order to improve the result with maximum level and also improved the overall accuracy with the help of Adaboost technique.
  • Building multi-dimensional cube to analyze public examination results: A business intelligence approach
    J. Macklin Abraham Navamani, A. Kannammal, P. Ranjit Jeba Thangaiah
    Applied Mechanics and Materials, 2014
    In recent years educational data mining and data warehouse has become one of the challenging research fields. It is used to turn the raw data available in educational field into actionable information. Educational data can provide improved understanding of students’ knowledge and better assessments of their progress. Educational data mining and warehousing could help educational government organizations in taking timely and data analysis based management decisions, thus contributing to gain competitive advantages in their successful policy framing. This paper focuses on the research activities for building data warehouse/data mart to store and analyze the public examination results of higher grade students by Directorate of Government Examinations belonging to Tamil Nadu, India. The data warehousing concept comprises of architectures, tools, and algorithms for bringing together data from various sources into a single repository and making it useful for the management to directly query and extract useful information for analysis. In this paper the need of data warehouse / business intelligence for a government educational organization has been explored.

RECENT SCHOLAR PUBLICATIONS

  • Offline study for implementing human computer interface for elderly paralysed patients using electrooculography and neural networks
    S Ramkumar, KS Kumar, K Maheswari, PPA Priya, G Emayavaramban, ...
    International Journal of Intelligent Enterprise 7 (1-3), 306-321 , 2020
    2020.0
    Citations: 9
  • Designing Communication System for Person with Locked in Syndrome Using Machine Learning Technique
    S Ramkumar, G Emayavaramban, KS Kumar, K Shankar, M Ilayaraja, ...
    2019 IEEE International Conference on Clean Energy and Energy Efficient … , 2019
    2019.0
    Citations: 1
  • Human Computer Interface for Neurodegenerative Patients Using Machine Learning Algorithms
    S Ramkumar, G Emayavaramban, JMA Navamani, RR Devi, A Prema, ...
    Advances in Computerized Analysis in Clinical and Medical Imaging, 51-66 , 2019
    2019.0
    Citations: 3
  • Task identification system for elderly paralyzed patients using electrooculography and neural networks
    S Ramkumar, G Emayavaramban, K Sathesh Kumar, ...
    EAI International Conference on Big Data Innovation for Sustainable … , 2019
    2019.0
    Citations: 25
  • Predicting performance of schools by applying data mining techniques on public examination results
    JMA Navamani, A Kannammal
    Research Journal of Applied Sciences, Engineering and Technology 9 (4), 262-271 , 2015
    2015.0
    Citations: 24
  • Building multi-dimensional cube to analyze public examination results: A business intelligence approach
    JM Abraham Navamani, A Kannammal, PR Jeba Thangaiah
    Applied Mechanics and Materials 622, 11-22 , 2014
    2014.0
    Citations: 3
  • A.(2020). Task Identification System for Elderly Paralyzed Patients Using Electrooculography and Neural Networks
    S Ramkumar, G Emayavaramban, KS Kumar, JMA Navamani, ...
    EAI International Conference on Big Data Innovation for Sustainable … , 0
    Citations: 5

MOST CITED SCHOLAR PUBLICATIONS

  • Task identification system for elderly paralyzed patients using electrooculography and neural networks
    S Ramkumar, G Emayavaramban, K Sathesh Kumar, ...
    EAI International Conference on Big Data Innovation for Sustainable … , 2019
    2019.0
    Citations: 25
  • Predicting performance of schools by applying data mining techniques on public examination results
    JMA Navamani, A Kannammal
    Research Journal of Applied Sciences, Engineering and Technology 9 (4), 262-271 , 2015
    2015.0
    Citations: 24
  • Offline study for implementing human computer interface for elderly paralysed patients using electrooculography and neural networks
    S Ramkumar, KS Kumar, K Maheswari, PPA Priya, G Emayavaramban, ...
    International Journal of Intelligent Enterprise 7 (1-3), 306-321 , 2020
    2020.0
    Citations: 9
  • A.(2020). Task Identification System for Elderly Paralyzed Patients Using Electrooculography and Neural Networks
    S Ramkumar, G Emayavaramban, KS Kumar, JMA Navamani, ...
    EAI International Conference on Big Data Innovation for Sustainable … , 0
    Citations: 5
  • Human Computer Interface for Neurodegenerative Patients Using Machine Learning Algorithms
    S Ramkumar, G Emayavaramban, JMA Navamani, RR Devi, A Prema, ...
    Advances in Computerized Analysis in Clinical and Medical Imaging, 51-66 , 2019
    2019.0
    Citations: 3
  • Building multi-dimensional cube to analyze public examination results: A business intelligence approach
    JM Abraham Navamani, A Kannammal, PR Jeba Thangaiah
    Applied Mechanics and Materials 622, 11-22 , 2014
    2014.0
    Citations: 3
  • Designing Communication System for Person with Locked in Syndrome Using Machine Learning Technique
    S Ramkumar, G Emayavaramban, KS Kumar, K Shankar, M Ilayaraja, ...
    2019 IEEE International Conference on Clean Energy and Energy Efficient … , 2019
    2019.0
    Citations: 1