Publications

2013
Premadasa HK, Meegama RGN. Extensive compression of text messages in interactive mobile communication, in Advances in ICT for Emerging Regions (ICTer), 2013 International Conference on. IEEE; 2013:80–83.
Premadasa HK, Meegama RGN. Implementation of concatenated short messaging service in a campus environment, in Computer Science & Education (ICCSE), 2013 8th International Conference on. IEEE; 2013:207–212.
Perera MDR, Meegama RGN, Jayananda MK. Single Chip Solution with1-Wire Communication Protocol to Interface Digital Transducers to Sensor Networks. Proceedings of the Asia-Pacific Advanced Network. 2013;36:87–91.
Perera MDR, Meegama RGN, Jayananda MK. A single-chip solution for interfacing transducers to sensor networks using FPGAs, in Computer Science & Education (ICCSE), 2013 8th International Conference on. IEEE; 2013:201–206.
Ranamuka RHNG, Meegama RGN. Detection of Hard Exudates from Diabetic Retinopathy Images Using Fuzzy Logic. IET Image Processing [Internet]. 2013;7(2):121-130. Publisher's Version
Premadasa HKS, Meegama RGN. Mobile Learning Environment with Short Messaging Service: Application to a Campus Environment in a Developing Country. Campus-Wide Information Systems [Internet]. 2013;30(2):106-123. Publisher's VersionAbstract
With the advent of mobile technology, integrating an open-source secure mobile learning environment, coupled with a short message service, into a learning management system (LMS) has been a challenging task in mobile learning platforms during the past few years. Although there are number of services available over the web that facilitates sending secure messages via an LMS, they are often paid services that account for restricted number of messages. In this paper, we propose a secure open-source mobile-based system that can beeasily integrated into the Moodle LMS. Initially, a database is integrated into the Moodle that holds usernames, passwords and enrolment keys for the courses. Authenticated teachers can create text messages using a mobile device connected to the Internet. Authenticated students can perform learning activities such as content downloading, group discussions, online quizzes and assignments in the mobile learning environment using their mobile devices.Statistical analysis of results during a campus-wide implementation of the system revealed students’ preference in studying with a group while using mobile technologies for academic activities.
2012
Premadasa HK, Meegama RGN. Concealed data in two way text messaging: A framework for interactive mobile learning environment, in Advances in ICT for Emerging Regions (ICTer), 2012 International Conference on. IEEE; 2012:122–128.
Niroshika UAA, Meegama RGN. Active Contours with Prior Corner Detection. International Conference on Machine Vision, Image Processing and Pattern Analysis. 2012.
2011
Siriwardhana ACPK, Meegama RGN, Aponsu L. Harmful Noise Intensity Level Pre Determination System for Noise Generated Sources. 2011.
Meegama RGN, others. Active NURBS modeling of human brain surface. 2011.
Jinasena KK, Meegama RGN. Design of a low-cost autonomous mobile robot. 2011.
Udeshani KAG, Meegama RGN, Fernando TGI. Statistical feature-based neural network approach for the detection of lung cancer in chest x-ray images. International Journal of Image Processing (IJIP). 2011;5:425.
2009
Meegama RGN, Ranatunga SPK. UML-based Framework for Human Resource Management. International Journal of Software Engineering and Computing. 2009;1:31–35.
2006
Meegam RGN, Jayathilaka MCD, Liyanage N. An Open-Source Web-Based E-learning Development Technique. 2006.
Kumara R, Hettiarachchi C, Meegam RGN, Nanayakkara M, Vasanthapriyan S. Dynamic Web Content for Sabaragamuwa University. 2006.
Rajapakse JC, Ling LH, Kim SS, Meegam RGN. Extraction of Left Ventricular Cavity from Echocardiograph Images by Bayesian and NURBS Modeling. 2006.
Ranatunga SPK, Meegama RGN. A. NET Framework for University Administration. 2006.
Rajapakse JC, Meegam RGN. NURBS-Based Visualization of Age-related Diversity in Cortical Morphology. 2006.

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