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i-manager's Journal on Mobile Applications and Technologies (JMT)

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Volume 4 Issue 2 July - December 2017

Research Paper

A Systematic Review of Mobile Learning Adoption in Higher Education: The African Perspective

Safiya Okai-Ugbaje* , Kathie Ardzejewska, Ahmed Imran*

* Ph.D Candidate, The University of Notre Dame, Australia.

Manager, Learning and Teaching Office, The University of Notre Dame, Australia.

* Senior Lecturer, University of New South Wales, Canberra, Australia.

Okai-Ugbaje, S., Ardzejewska, K., and Imran, A. (2017). A Systematic Review of Mobile Learning Adoption in Higher Education: The African Perspective. i-manager’s Journal on Mobile Applications and Technologies, 4(2), 1-13. https://doi.org/10.26634/jmt.4.2.13830

Abstract

Despite the huge penetration of mobile technology in Africa and its wide adoption in the region for communication, business and entertainment, its use in education is not widespread. To investigate this problem within the context of higher education, a systematic review of articles focused on adoption and implementation of mobile learning in Africa published from 2010 to 2016 was carried out. The literature search showed a growing trend in mobile learning research in Africa, however, only a handful of these had practical implementation indicating that despite the growth of m-learning studies in the region research into practical implementation is still very limited. Nevertheless, this review identified trends in the adoption studies, modes of implementation, and reported barriers to implementation. Subsequently, the barriers were grouped into five categories and sub-categorised into most frequently reported, frequently reported, and infrequently reported. Despite the paucity of the latter, they were still considered central for effective implementation. Analysis of this snapshot of m-learning implementation in African universities led to the development of recommendations to overcome reported barriers and thus makes a useful resource for policymakers and those considering adoption.

References

[1]. Adedoja, G., & Egbokhare, F. (2013). Learners' acceptance of the use of mobile phones to deliver tutorials in a distance learning context: A case study at the University of Ibadan. The African Journal of Information Systems, 5(3), 80-93.

[2]. Akeriwa, M., Penzhorn, C., & Holmner, M. (2015). Using mobile technologies for social media based library services at the University of Development Studies Library, Ghana. Information Development, 31(3), 284–293. http://doi.org/10.1177/0266666913515898

[3]. Ally, M. (2013). Mobile learning: from research to practice to impact education. Learning and Teaching in Higher Education: Gulf Perspectives, 10(2), 1–10.

[4]. Alrasheedi, M., Capretz, L. F., & Raza, A. (2015). A systematic review of the critical factors for success of mobile learning in Higher Education (University students' perspective). Journal of Education Computing Research, 52(2), 257– 276. http://doi .org/10.1177/ 07 35633115571928

[5]. Annan, N. K., Ofori-Dwumfuo, G. O., & Falch, M. (2014). Mobile learning platform: A case study of introducing m-learning in tertiary education. GSTF Journal on Computing (JoC), 2(1), 23-28.

[6]. Asiimwe, E. N. & Grönlund, A. (2015). MLCMS actual use, perceived use, and experiences of use. International Journal of Education and Development using Information and Communication Technology (IJEDICT), 11(1), 101–121.

[7]. Bosman, J. P. & Strydom, S. (2016). Mobile technologies for learning: Exploring critical mobile learning literacies as enabler of graduateness in a South African research-led University. British Journal of Educat ional Technology, 47(3),510–519 . http://doi.org/10.1111/bjet.12441

[8]. Boyinbode, O. & Fasunon, D. (2015). Deploying an interactive mobile learning system in the classroom. International Journal of U- and E- Service, Science and Technology, 8(4), 321–330.

[9]. Conradie, P., Lombard, A., & Moller, M. (2013). Learners' perceptions of mobile devices for learning in Higher Education -Towards a mobile learning pedagogical framework. International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, 7(1), 120–125.

[10]. Dahlstrom, E., Brooks, C., Grajek, S., & Reeves, J. (2015). ECAR study of undergraduate students and information technology. Louisville.

[11]. Douglas, P. (2005). Higher education: A complex microcosm of a complex society. Retrieved August 15, 2017,fromhttp://conference.herdsa.org.au / 2005/pdf/non_refereed/111.pdf

[12]. Educause. (2011). Mobile Computing 5-Day Sprint. Retrieved from https://library. educause.edu/~/media/f iles/library/2011/6/espntmc-pdf.pdf

[13]. Fadare, O. G., Babatunde, O. H., Theophilus, D., Lawal, O. O., Anglais, A. E., Umé, R. É. S. et al. (2011). Behavioral intention for mobile learning on 3G mobile internet technology in south-west part of Nigeria. World Journal of Engineering and Pure and Applied Science, 1(2), 19–28.

[14]. Ferry, B. (2009). Using mobile phones to enhance teacher learning in environmental education environmental education. In J. Herrington, A. Herrington, J. Mantei, I. Olney, & B. Ferry (Eds.), New Technologies, New Pedagogies: Mobile Learning in Higher Education (pp. 45-55).

[15]. Hung, J. L. & Zhang, K. (2012). Examining mobile learning trends 2003 – 2008: A categorical meta-trend analysis using text mining techniques. Journal of Computing in Higher Education , 24,1–17 . http://doi.org/10.1007/s12528-011-9044-9

[16]. Isaacs, S. (2012). Turning on mobile learning in Africa and the Middle East, illustrative initiatives and policy implications (Policy Focus: Working Paper Seies on Mobile Learning). United Nations Educational, Scientific and Cultural Organization. Paris.

[17]. ITU. (2015). ICT facts and figures. The World in 2015. Retrieved March 20, 2017, from https://www.itu.int/en/ITUD/ Statistics/Documents/facts/ICTFactsFigures2015.pdf

[18]. ITU. (2017). ICT Facts and figures 2017. Retrieved June 20, 2017, from https://www.itu.int/en/ITUD/ Statistics/Documents/facts/ICTFactsFigures2017.pdf

[19]. Kaliisa, R. & Picard, M. (2017). A systematic review on mobile learning in higher education: The African perspective. The Turkish Online Journal of Educational Technology, 16(1), 1–18.

[20]. Kruger, M. & Bester, R. (2014). Mobile Learning: A Kaleidoscope. The Electronic Journal of E-Learning, 12(1), 52–76.

[21]. Lamptey, H. K. & Boateng, R. (2017). Mobile learning in developing countries: A synthesis of the past to define the future. International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, 11(2), 420–427.

[22]. MacCallum, K. & Parsons, D. (2016, October). A theory-ology of mobile learning: Operationalizing learning theories with mobile activities. In L. E. Dyson, W. Ng, & J. Fergusson (Eds.), Mobile Learning Futures – Sustaining Quality Research and Practice in Mobile Learning.15^thWorld Conference on Mobile and Contextual Learning, mLearn 2016, (p. 399). Sydney, Australia: The University of Technology, Sydney.

[23]. Mayisela, T. (2013). The potential use of mobile technology: Enhancing accessibility and communication in a blended learning course. South African Journal of Education, 33(1), 1–18.

[24]. Mtebe, J. S., & Raisamo, R. (2014). Investigating students' behavioural intention to adopt and use mobile learning in higher education in East Africa. International Journal of Education and Development using Information and Communication Technology, 10(3), 4–20.

[25]. Mtega, W., Bernard, R., Msungu, A. C., & Sanare, R. (2012). Using mobile phones for teaching and learning purposes in Higher Learning Institutions: The case of Sokoine University of Agriculture in Tanzania. In Proceedings and Report of the 5^thUbuntu Net Alliance Annual Conference (pp. 118–129).

[26]. Mugwanya, R., Marsden, G., & Boateng, R. (2011). A preliminary study of podcasting in developing higher education institutions: A South African Case. Journal of Systems and Information Technology, 13(3), 268–285.http://doi.org/10.1108/13287261111164853

[27]. Murugesan, S. (2013). Mobile apps in Africa. IT Professional, 15(5), 8–11. http://doi.org/10.1109/ MITP.2013.83

[28]. Mutono, A. & Dagada, P. (2016). Learners' acceptance of mobile learning for post- school education and training in South Africa. British Journal of Applied Science & Technology, 17(4), 1–10. http://doi.org/10.9734/BJAST/2016/29192

[29]. Naicker, N., & Merwe, T. Van der. (2012, November). Mobile learning in higher education: a study of the technology readiness of students at a South African higher education institution. In Proceedings of the 14^th Annual Conference on World Wide Web Applications, Durban.

[30]. Ng'ambi, D. & Lombe, A. (2012). Using podcasting to facilitate student learning: A constructivist perspective. Educational Technology & Society, 15(4), 181–192.

[31]. Ng, W. & Nicholas, H. (2013). A framework for sustainable mobile learning in schools. British Journal of Educational Technology,44(5),695–715.http://doi.org/10.1111/j.1467-8535.2012.01359.x

[32]. Ojokoh, B. A., Doyeni, O. A., Adewale, O. S., & Isinkaye, F. O. (2013). A Mobile-based e-Learning system. International Journal of Web-Based Learning and Teaching Technologies, 8(3), 1–17. http://doi.org/10.4018/ijwltt.20130 70101

[33]. Okoli, C. (2015). A guide to conducting a standalone systematic literature review. Communications of the Association for Information Systems, 37(43), 879-910.

[34]. Osang, F., Ngole, J., & Tsuma, C. (2013, February). Prospects and challenges of mobile learning implementation in Nigeria: Case study National Open University of Nigeria (Noun). In International Conference on ICT for Africa, Harare, Zimbabwe.

[35]. Oyelere, S. S., Paliktzoglou, V., & Suhonen, J. (2016). M-Learning in Nigerian Higher Education: An experimental study with Edmodo. International Journal of Social Media and Interactive Learning Environments, 4(1), 43-62. http://doi.org/10.1504/IJSMILE.2016.075055

[36]. Oyelere, S., Suhonen, J., Shonola, S., & Joy, M. (2016, October). Discovering students mobile learning experiences in Higher Education in Nigeria. In Proceedings of the Frontiers in Education 2016 Conference, Erie, PA.

[37]. Ozdamli, F. (2012a). Pedagogical framework of m-learning. Procedia - Social and Behavioral Sciences, 31( 2011),927–931.http://doi.org/10.1016/ j.sbspro.2011.12.171

[38]. Ozdamli, F. (2012b). Pedagogical framework of m-learning. Procedia - Social and Behavioral Sciences, 31(2011),927–931.http://doi.org/10.1016/j . sbspro.2011.12.171

[39]. Pegrum, M., Oakley, G., & Faulkner, R. (2013). Schools going mobile: A study of the adoption of mobile hand held technologies inwestern Australian independent schools. Australasian Journal of EducationalTechnology,29(1),66–81. http://doi.org/10.1234/ajet.v29i1.64

[40]. Pew Research Center. (2015). Cell phones in Africa: Communication lifeline.Retrieved from http://www.pewglobal.org/2015/04/15/cell-phones-inafrica- communication-lifeline

[41]. Rambe, P. & Bere, A. (2014). Using mobile instant messaging to leverage learner participation and transform pedagogy at a South African University. British Journal of Educational Technology, 44(4), 544–561. http://doi.org/10.1111/bjet.12057

[42]. Ramdhani, A., Ramdhani, M. A., & Amin, A. S. (2014). Writing a literature review research paper: A step - by - step approach. International Journal of Basics and Applied Sciences, 3(1), 47–56.

[43]. Rooyen, A. (2010). Effective integration of SMS communication into a distance education accounting module. Meditari Accountancy Research, 18(1), 47–57. http://doi.org/10.1108/10222529201000004

[44]. Saleh, S. & Bhat, S. A. (2015). Mobile learning: A systematic review. International Journal of Computer Applications, 114(11), 1–5.

[45]. Salmon, G. & Angood, R. (2013). Sleeping with the enemy. British Journal of Educational Technology, 44(6), 916–925. http://doi.org/10.1111/bjet.12097.

[46]. Shonola, S., Joy, M., Oyelere, S., & Suhonen, J. (2016). The impact of mobile devices for learning in Higher Education Institutions: Nigerian Universities case study. International Journal of Modern Education and Computer Science, 8(8), 43–50. http://doi.org/10.5815/ ijmecs.2016.08.06

[47]. Tagoe, M. & Abakah, E. (2014). Determining distance education students' readiness for mobile learning at University of Ghana using the Theory of Planned Behavior. International Journal of Education and Development using Information and Communication Technology, 10(1), 91–106.

[48]. Tsinakos, A. (2013). State of mobile learning around the world. (A. Tsinakos & M. Ally, Eds.). China: China Central Radio & TV University Press.

[49]. Utulu, S. & Alonge, A. (2012). Use of mobile phones for project based learning by undergraduate students of Nigerian private universities. International Journal of Education and Development using Information and Communication Technology (IJEDICT), 8(1), 4–15.

[50]. Witt, R. E., Kebaetse, M. B., Holmes, J. H., Littmanquinn, R., Ketshogileng, D., Antwi, C. et al. (2016). The role of tablets in accessing information throughout undergraduate medical education in Botswana. International Journal of Medical Informatics, 88, 71–77. http://doi.org/10.1016/j.ijmedinf.2016.01.006

[51]. Wu, W. H., Jim Wu, Y. C., Chen, C. Y., Kao, H. Y., Lin, C. H., & Huang, S. H. (2012). Review of trends from mobile learning studies: A meta-analysis. Computers and Education, 59(2), 817–827. http://doi.org/10.1016/j. compedu.2012.03.016

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Research Paper

Remote Embedded Scheduler on Coap Using Android Application

G. M. Divya* , Udigala Basavaraju Mahadevaswamy **

* Postgraduate, Department of Electronics and Communication Engineering, Sri Jayachamarajendra College of Engineering, Mysuru, Karnataka, India.

** Associate Professor, Department of Electronics and Communication Engineering, Sri Jayachamarajendra College of Engineering, Mysuru, Karnataka, India.

Divya, G. M., and Mahadewaswamy, U. B. (2017). Remote Embedded Scheduler on Coap Using Android Application. i-manager’s Journal on Mobile Applications and Technologies, 4(2), 14-21. https://doi.org/10.26634/jmt.4.2.13831

Abstract

The proposed work aims at developing a dedicated embedded system for automatic scheduling and communication between an authorized person and the students and staff in educational institutions using Internet of Things (IoT) concept and Constrained Application Protocol (CoAP). Existing structure is running on timer based electric bell, has its own limitations and consistency in time keeping may not be possible due to inaccuracy in techniques used for timing. A gadget is built which automatically rings the bell when the scheduled time matches with the time of Real Time Clock (RTC). The system developed is capable of performing all the necessary timing operations, such as scheduling of regular classes, scheduling of exams, etc., without human interference. Additional facility is also created so that the authorized person can send messages to the concerned in case of emergency meeting, letting off of classes, etc. This dedicated system uses secured IP, low power controller, and operates at low bandwidth. The system is flexible so that it can be used by other educational institutions with secured Internet Protocol (IP) by creating the related firmware using Real Time Operating System (RTOS) to perform the intended tasks.

References

[1]. Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). Internet of Things: A survey on enabling technologies, protocols, and applications. IEEE Communications Surveys & Tutorials, 17(4), 2347-2376.

[2]. Bhakthavatchalu, R., Mallia, S. S., HariKrishnan, R., Krishnan, A., & Sruthi, B. (2011, March). Low power scheduled alarm system using embedded microcontroller with USB interface. In Emerging Trends in Electrical and Computer Technology (ICETECT), 2011 International Conference on (pp. 610-615). IEEE.

[3]. Bili?, D. & Uzunovi?, T. (2016, October). Embedded automatic scheduling system. In Telecommunications (BIHTEL), 2016 XI International Symposium on (pp. 1-5). IEEE.

[4]. Butoliya, S., Shal, N., Girhepunje, S., Rannaware, A., Baddalwar, P., & Badwe, V. (2015). Microcontroller based Automatic College Bell with Monitoring System. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 4(2), 401-404.

[5]. Choudhary, S., Shrikant, & Sharma, P. (2014). Automatic College Bell System. IJSRM, 2(3), 668-673.

[6]. Megalingam, R. K., Balasubramanian, V. K., Nair, M. M., Sarma, V. S. V., & Srikumar, R. (2009, December). Power aware Automatic Microcontroller based Smart, College Electric Bell System with Time Display. In MEMS, NANO, and Smart Systems (ICMENS), 2009 Fifth International Conference on (pp. 166-170). IEEE.

[7]. Ruokonen, A., Wu, Z., & Lu, R. (2016, June). Describing Mobile Devices as RESTful Services for the End-Users. In Mobile Services (MS), 2016 IEEE International Conference on (pp. 127-134). IEEE.

[8]. Villaverde, B. C., de Paz Alberola, R., Jara, A. J., Fedor, S., Das, S. K., & Pesch, D. (2014). Service Discovery Protocols for Constrained Machine-to-Machine Communications. IEEE Communications Surveys and Tutorials, 16(1), 41-60.

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Research Paper

Air Quality Analysis System for Indoor Environment and Automation using IoT

N. Madhu Sudhan* , Udigala Basavaraju Mahadevaswamy **

* PG Student, Department of Electronics and Communication Engineering, Sri Jayachamarajendra College of Engineering, Mysuru, Karnataka, India.

** Associate Professor, Department of Electronics and Communication Engineering, Sri Jayachamarajendra College of Engineering, Mysuru, Karnataka, India.

Sudhan, N., and Mahadevaswamy, U. B.(2017). Air Quality Analysis System for Indoor Environment And Automation Using IoT. i-manager’s Journal on Mobile Applications and Technologies, 4(2), 22-31. https://doi.org/10.26634/jmt.4.2.13832

Abstract

Now-a-days indoor air quality has been a vital concern, due to increased global warming, extensive usage of fossil fuels, rapid growth of transportation, and urbanization. Adequate and clean indoor air quality is essential for good health and comfort of individuals, especially considering that people who spends most of their time indoor. Due to lack of proper awareness, many people suffer from respiratory disorders like asthma, dust allergies, etc., because of prolonged exposure to the polluted environment. Hence, a real time monitoring and analysis of indoor air quality in the atmosphere has been the interest of recent topic. This paper deals with design and implementation of an Internet of Things (IoT) based system useful for monitoring levels of vital indoor atmospheric parameters like gaseous pollutants, particulate matter, temperature, and humidity using various sensors interfaced to microcontroller for analysis and processing for automation, display outputs on LCD, and communicates via Wi-Fi module using CoAP. The controller programming is done on embedded C language based on RTOS concept, resource sharing, and reduced time complexity with enhanced features. Monitoring and control mobile App is developed in Java language. Experiments were conducted to validate and support the development of the system for real-time monitoring and automation.

References

[1]. Ali, H., Soe, J. K., & Weller, S. R. (2015, October). A real-time ambient air quality monitoring wireless sensor network for schools in smart cities. In Smart Cities Conference (ISC2), 2015 IEEE First International (pp. 1-6). IEEE.

[2]. Brook, R. D., Franklin, B., Cascio, W., Hong, Y., Howard, G. et al. (2004). Air pollution and cardiovascular disease. Circulation, 109(21), 2655-2671.

[3]. du Plessis, R., Kumar, A., Hancke, G. P., & Silva, B. J. (2016, October). A wireless system for indoor air quality monitoring. In Industrial Electronics Society, IECON 2016- 42^nd Annual Conference of the IEEE (pp. 5409-5414). IEEE.

[4]. Jangid, S. & Sharma, S. (2016, March). An embedded system model for air quality monitoring. In Computing for Sustainable Global Development (INDIACom), 2016 3^rd International Conference on (pp. 3003-3008). IEEE.

[5]. Kim, J. Y., Chu, C. H., & Shin, S. M. (2014). ISSAQ: An integrated sensing systems for real-time indoor air quality monitoring. IEEE Sensors Journal, 14(12), 4230-4244.

[6]. Lohani, D. & Acharya, D. (2016, June). Smartvent: A context aware iot system to measure indoor air quality and ventilation rate. In Mobile Data Management (MDM), 2016 17^th IEEE International Conference on (Vol. 2, pp. 64- 69). IEEE.

[7]. Nakata, M. (2014, July). Air quality monitoring in Mega city. In Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International (pp. 4135-4138). IEEE.

[8]. New Technologies Make Cities Clean Air Efforts Responsive. Retrieved from http://www.govtech.com/fs/ New-Technologies-Make-Cities-Clean-Air-Efforts-More- Responsive.html

[9]. Saad, S. M., Saad, A. R. M., Kamarudin, A. M. Y., Zakaria, A., & Shakaff, A. Y. M. (2013). Indoor air quality monitoring system using wireless sensor network (WSN) with web interface. In 2013 International Conference on Electrical, Electronics and System Engineering (ICEESE).

[10]. Suryawanshi, S. U., Dhang, D. I., Chougule, A. A., Mote, S. B. Implementation of Embedded Wireless Air Pollution Monitoring System. IOSR Journal of Electronics and Communication Engineering (IOSR-JMCE), 27-30.

[11]. UNEP Year Book. (2014). Air Pollution: World's Worst Environmental Health Risk Retrieved from http://home.iitk.ac.in/~anubha/H6.pdf

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Survey Paper

Analysis of Grid Simulators Architecture

Neeraj Kumar Rathore* , Harikesh Singh**

* Assistant Professor, Department of Computer Science & Engineering, Jaypee University of Engineering & Technology, Guna (MP), India.

** Assistant Professor (SG), Department of Computer Science & Engineering, Jaypee University of Engineering & Technology, Guna (MP), India.

Kumar Rathore, N., and Singh, H. (2017). Analysis of Grid Simulators Architecture. i-manager’s Journal on Mobile Applications and Technologies, 4(2), 32-41. https://doi.org/10.26634/jmt.4.2.13833

Abstract

In Grid computing environment, all the resources shared in the heterogeneous environment are managed by a Resource Management System (RMS) having different architecture. In a distributed parallel collection of computers/servers that enables the sharing, selection and aggregation of resources based on the resources' availability, capability, performance, cost, and high security. In this paper, Resource Management Architecture based on reliability and Service Oriented Architecture, Web Service Architecture, and Open Grid Service Architecture (OGSA) have been analyzed. Further, it has been concluded that Grid system based on Resource Management Architecture will provide the efficient Grid services in terms of Information exchange, Resource availability, Application, Distributed, Data and Knowledge sharing.

References

[1]. Abbas, A. (2004). Grid Computing: A Practical Guide to Tech. and App. Firewall Media.

[2]. Antonopoulos, N. (Ed.). (2010). Handbook of Research on P2P and Grid Systems for Service-Oriented Computing: Models, Methodologies and Applications: Models, Methodologies and Applications. IGI Global.

[3]. Berman, F., Fox, G., & Hey, A. J. (Eds.). (2003). Grid Computing: making the Global Infrastructure a Reality (Vol. 2). John Wiley and Sons.

[4]. Buyya, R., de Assuncao, M. D., Garg, S. K., & Javadi, B. (2002). GridSim: A Grid Simulation Toolkit for Resource Modelling and Application Scheduling for Parallel and Distributed Computing. The GridSim Toolkit Software. Retrieved from http://www.buyya.com/gridsim/

[5]. Chouhan, R. & Rathore, N. (2012). Comparision of Load Balancing Technique in Grid. 17^th Annual Conference of Gwalior Academy of Mathematical Science and National Symposium on Computational Mathematics & Information Technology.

[6]. Craig, F. & Joseph, J. (2004). Grid Computing, 1^stedition. Pearson Education, Delhi.

[7]. Dai, Y. S., & Dongarra, J. (2010). Reliability and Performance Models for Grid Computing. In Handbook of Research on Scalable Computing Technologies (pp. 219- 245). IGI Global.

[8]. Dai, Y. S., Pan, Y., & Zou, X. (2007). A hierarchical modeling and analysis for grid service reliability. IEEE Transactions on Computers, 56(5), 681-691.

[9]. Dumitrescu, C. L., Wilde, M., & Foster, I. (2005, June). A model for usage policy-based resource allocation in grids. In Policies for Distributed Systems and Networks, 2005. Sixth IEEE International Workshop on (pp. 191-200). IEEE.

[10]. Finkelstein, A., Gryce, C., & Lewis-Bowen, J. (2004). Relating requirements and architectures: A study of datagrids. Journal of Grid Computing, 2(3), 207-222.

[11]. Guha, R. (2001). Parallel Computing in Chemistry (Dissertation Work, IIT Kharagpur).

[12]. Ivanoaica, T. (2016). Grid site as a tool for data processing and data analysis. Workshop on Sensors and High Energy Physics (SHEP 2016). Retrieved from https://indico.cern.ch/event/574939/contributions/23440 03/attachments/1358856/2055392/Grid_site_as_a_tool_ for_data_processing_and_data_analysis_.pdf

[13]. Janakiram, D. (2005). Grid Computing: A Research Monograph, 1^st edition. TMH, New Delhi.

[14]. Janakiram, D., Reddy, V. A., & Kumar, A. P. (2006, January). Outlier detection in wireless sensor networks using Bayesian belief networks. In Communication System Software and Middleware, 2006. Comsware 2006. First International Conference on (pp. 1-6). IEEE.

[15]. Joseph, J., & Fellenstein, C. (2004). Grid Computing. Prentice Hall Professional.

[16]. Joseph, J., Ernest, M., & Fellenstein, C. (2004). Evolution of grid computing architecture and grid adoption models. IBM Systems Journal, 43(4), 624-645.

[17]. Kuba, M. & Krajícek, (2007). Literature search on SOA, Web Services, OGSA and WSRF Fakulta informatiky MU. Retrieved from http://dior.ics.muni.cz/~makub/soap/ reserse_wsrf.pdf

[18]. Kumar, A. (2000). An efficient SuperGrid protocol for high availability and load balancing. IEEE Transactions on Computers, 49(10), 1126-1133.

[19]. Li, M. & Mark, B. (2005). Grid Computing: Core Technology. John Wiley and Sons, New York.

[20]. Minoli, D. (2004). A Networking Approach to Grid Computing. John Wiley & Sons.

[21]. Plaszczak, P. & Wellner Jr, R. (2006). Grid computing: The Savvy Manager's Guide, 1^st edition. Elsevier Butterworth Heinemann.

[22]. Prabhu, C. S. R. (2008). Grid and Cluster Computing, 1^st edition (2008). Prentice Hall of India.

[23]. Prabhu, C. S. R. (2008). Grid and Cluster Computing, 1^stedition. Prentice Hall of India.

[24]. Quinson, M., Legrand, A., & Casanova, H. (2009). The SimGrid framework for research on large-scale distributed systems. Memorias de la ULA, (1).

[25]. Rathore, N. (2015). MapReduce architecture for grid. i-manager's Journal on Software Engineering, 10(1), 21-30.

[26]. Rathore, N. K. & Sharma, A. (2015). Efficient Dynamic Distributed Load Balancing Technique. Lambert Academic Publication House, Germany.

[27]. Rathore, N. K. & Chana, I. (2008). Comparative Analysis of Checkpointing. PIMR Third National IT Conference, IT Enabled Practices and Emerging Management Paradigm book and categor y is Communication Technologies and Security Issues (pp. 32-35).

[28]. Rathore, N. K. & Chana, I. (2013, September). A sender initiate based hierarchical load balancing technique for grid using variable threshold value. In Signal Processing, Computing and Control (ISPCC), 2013 IEEE International Conference on (pp. 1-6). IEEE.

[29]. Rathore, N. K. & Chana, I. (2014a). Job migration with fault tolerance based QoS scheduling using hash table functionality in social Grid computing. Journal of Intelligent & Fuzzy Systems, 27(6), 2821-2833.

[30]. Rathore, N. K. & Chana, I. (2014b). Load balancing and job migration techniques in grid: A survey of recent trends. Wireless Personal Communications, 79(3), 2089- 2125.

[31]. Rathore, N. K. & Chana, I. (2015). Variable thresholdbased hierarchical load balancing technique in Grid. Engineering with Computers, 31(3), 597-615.

[32]. Rathore, N. K. & Chana, I. (2016). Job migration policies for grid environment. Wireless Personal Communications, 89(1), 241-269.

[33]. Rathore, N. K. (2014). Efficient Hierarchical Load Balancing Technique based on Grid. In 29^th M.P. Young Scientist Congress (pp. 55).

[34]. Rathore, N. K. (2015a). Efficient agent based priority scheduling and load balancing using fuzzy logic in grid computing. i-manager's Journal on Computer Science, 3(3), 11-22.

[35]. Rathore, N. K. (2015b). Efficient Load Balancing Algorithm in Grid. In 30th M.P. Young Scientist Congress (pp. 56).

[36]. Rathore, N. K. (2015c). Ethical Hacking and Security against Cyber Crime. i-manager's Journal on Information Technology, 5(1), 7-11.

[37]. Rathore, N. K. (2015d). GridSim installation and implementation process. i-manager's Journal on Cloud Computing, 2(4), 29-40.

[38]. Rathore, N. K. (2016e). A Review towards: Load balancing Techniques. i-manager's Journal on Power Systems Engineering, 4(4), 47-60.

[39]. Rathore, N. K. (2016a). Dynamic Threshold Based Lo a d B alancing Algorithms. Wireless Personal Communications, 91(1), 151-185.

[40]. Rathore, N. K. (2016b). Faults in Grid. International Journal of Software and Computer Science Engineering, 1(1), 1-19.

[41]. Rathore, N. K. (2016c). Installation of Alchemi.Net in Computational Grid. i-manager's Journal on Computer Science, 4(2), 1-5.

[42]. Rathore, N. K. (2017a). Performance of Hybrid Load Balancing Algorithm in Distributed Web Server System. National Academy Science Letters.

[43]. Rathore, N. K. (2017b). Checkpointing: Fault Tolerance Mechanism. i-manager's Journal on Cloud Computing, 4(1), 28-35.

[44]. Rathore, N. K. (n.d.). An Efficient Load Balancing Algorithm in Distributed Network. Journal of Computer & Electrical Engineering, IOS Press Publication-Netherland, (in revisions)

[45]. Rathore, N. K. & Chana, I. (2010a). Checkpointing algorithm in Alchemi .NET. Pragyaan Journal of Information Technology, 8(1), 32-38.

[46]. Rathore, N. K., & Chana, I. (2010b). Fault tolerance algorithm in Alchemi .NET middleware. In National Conference on Education & Research (ConFR10), Third CSI National Conference of CSI Division V, Bhopal.

[47]. Rathore, N. K., & Chana, I. (2011, December). A cogitative analysis of load balancing technique with job migration in grid environment. In World Congress on Information and Communication Technology (WICT), Mumbai, IEEE Proceedings (pp. 77-82).

[48]. Rathore, N. K., & Chohan, R. (2016a). An Enhancement of Gridsim Architecture with Load Balancing. In Scholar's Press.

[49]. Rathore, N. K. & Singh, P. (2016b). An Efficient Load Balancing Algorithm in Distributed Networks. Lambert Academic Publication House (LBA).

[50]. Rathore, N. K. & Chana, I. (2013). Report on hierarchal load balancing technique in grid environment. i-manager's Journal on Information Technology, 2(4), 21- 35.

[51]. Riguidel, M. & Naqvi, S. (2005). Grid Security Services Simulator (G3S) - A Simulation Tool for the Design and Analysis of Grid Security Solutions. First International Conference on e-Science and Grid Computing (e- Science'05) (ESCIENCE) (pp. 421-428). doi:10.1109/ESCIENCE. 2005.46

[52]. Sergi, G., Paraskevi, F., & Thierry, P. (2008). Grid Computing, 1^stedition. Springer, New York.

[53]. Seth, R. (2016). Global Data Transfers through Cloud and Grid Computing. International Journal of Computer Science and Technology, 7(1), 188-191.

[54]. Sharma, V., Kumar, R., & Rathore, N. (2015). Topological Broadcasting using Parameter Sensitivity-Based Logical Proximity Graphs in Coordinated Ground-Flying Ad Hoc Networks. JoWUA, 6(3), 54-72.

[55]. Stanoevska, K., Wozniak, T., & Ristol, S. (Eds.). (2009). Grid and cloud computing: a business perspective on technology and applications. Springer Science & Business Media.

[56]. Technical Pages. (2008, February). Grid Computing [Blog Post]. Retrieved from http://technicalpages. blogspot.in/2008/02/grid-computing.html

[57]. Wilkinson, B. (2009). Grid Computing: Techniques and Applications. CRC Press.

[58]. Wilkinson, B. (2010). Grid Computing: Techniques and Applications. CRC Press, London.

[59]. Xing, L., Amari, S. V., & Misra, K. B. (2008). Handbook of Performability Engineering. Fault Tree Analysis. London, Springer London, 595-620.

i-manager's Journal on Mobile Applications and Technologies (JMT)

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Volume 4 Issue 2 July - December 2017

A Systematic Review of Mobile Learning Adoption in Higher Education: The African Perspective

Safiya Okai-Ugbaje* , Kathie Ardzejewska**, Ahmed Imran***

* Ph.D Candidate, The University of Notre Dame, Australia. ** Manager, Learning and Teaching Office, The University of Notre Dame, Australia. *** Senior Lecturer, University of New South Wales, Canberra, Australia.

Okai-Ugbaje, S., Ardzejewska, K., and Imran, A. (2017). A Systematic Review of Mobile Learning Adoption in Higher Education: The African Perspective. i-manager’s Journal on Mobile Applications and Technologies, 4(2), 1-13. https://doi.org/10.26634/jmt.4.2.13830

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Remote Embedded Scheduler on Coap Using Android Application

G. M. Divya* , Udigala Basavaraju Mahadevaswamy **

* Postgraduate, Department of Electronics and Communication Engineering, Sri Jayachamarajendra College of Engineering, Mysuru, Karnataka, India. ** Associate Professor, Department of Electronics and Communication Engineering, Sri Jayachamarajendra College of Engineering, Mysuru, Karnataka, India.

Divya, G. M., and Mahadewaswamy, U. B. (2017). Remote Embedded Scheduler on Coap Using Android Application. i-manager’s Journal on Mobile Applications and Technologies, 4(2), 14-21. https://doi.org/10.26634/jmt.4.2.13831

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Air Quality Analysis System for Indoor Environment and Automation using IoT

N. Madhu Sudhan* , Udigala Basavaraju Mahadevaswamy **

* PG Student, Department of Electronics and Communication Engineering, Sri Jayachamarajendra College of Engineering, Mysuru, Karnataka, India. ** Associate Professor, Department of Electronics and Communication Engineering, Sri Jayachamarajendra College of Engineering, Mysuru, Karnataka, India.

Sudhan, N., and Mahadevaswamy, U. B.(2017). Air Quality Analysis System for Indoor Environment And Automation Using IoT. i-manager’s Journal on Mobile Applications and Technologies, 4(2), 22-31. https://doi.org/10.26634/jmt.4.2.13832

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Analysis of Grid Simulators Architecture

Neeraj Kumar Rathore* , Harikesh Singh**

* Assistant Professor, Department of Computer Science & Engineering, Jaypee University of Engineering & Technology, Guna (MP), India. ** Assistant Professor (SG), Department of Computer Science & Engineering, Jaypee University of Engineering & Technology, Guna (MP), India.

Kumar Rathore, N., and Singh, H. (2017). Analysis of Grid Simulators Architecture. i-manager’s Journal on Mobile Applications and Technologies, 4(2), 32-41. https://doi.org/10.26634/jmt.4.2.13833

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Safiya Okai-Ugbaje* , Kathie Ardzejewska, Ahmed Imran*

* Ph.D Candidate, The University of Notre Dame, Australia.

Manager, Learning and Teaching Office, The University of Notre Dame, Australia.

* Senior Lecturer, University of New South Wales, Canberra, Australia.

* Postgraduate, Department of Electronics and Communication Engineering, Sri Jayachamarajendra College of Engineering, Mysuru, Karnataka, India.

** Associate Professor, Department of Electronics and Communication Engineering, Sri Jayachamarajendra College of Engineering, Mysuru, Karnataka, India.

* PG Student, Department of Electronics and Communication Engineering, Sri Jayachamarajendra College of Engineering, Mysuru, Karnataka, India.

** Associate Professor, Department of Electronics and Communication Engineering, Sri Jayachamarajendra College of Engineering, Mysuru, Karnataka, India.

* Assistant Professor, Department of Computer Science & Engineering, Jaypee University of Engineering & Technology, Guna (MP), India.

** Assistant Professor (SG), Department of Computer Science & Engineering, Jaypee University of Engineering & Technology, Guna (MP), India.