Advancement of Mobile Computing Application with Context - Aware in Higher Institutions

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2018 by IJCTT Journal
Volume-61 Number-1
Year of Publication : 2018
Authors : Sadiq, Fatai I, Araoye Olalekan I, Akintoye Kayode A.
DOI :  10.14445/22312803/IJCTT-V61P101

MLA

MLA Style: Sadiq, Fatai I, Araoye Olalekan I, Akintoye Kayode A "Advancement of Mobile Computing Application with Context - Aware in Higher Institutions" International Journal of Computer Trends and Technology 61.1 (2018): 1-9.

APA Style:Sadiq, Fatai I, Araoye Olalekan I, Akintoye Kayode A (2018). Advancement of Mobile Computing Application with Context - Aware in Higher Institutions. International Journal of Computer Trends and Technology, 61(1), 1-9.

Abstract
Mobile computing application with context-aware is widely used due to the potential of using context information to solve problem that are traditionally impossible. It utilizes pervasive and ubiquitous environment where devices, software agents and services interact through human needs. In this paper, advancement of mobile computing application with context-aware was carried out through literature review to investigate the contributions of previous studies and identified evaluation measures specifically in higher institutions. It also identifies contributions of research done so far with emphasis on education. Method of evaluation in the domain is equally identified to know area of future research. Search terms with relevant keywords were used to select primary studies that relate to the topic of discussion. Consequently, 23 context-aware studies were identified and analysed in education with respect to higher institutions. Ontology techniques was rarely utilized as only 3 are found in the studies. The application of the ontology to explicit representation of knowledge was still low. Information and service abundance is a major challenge in the society and world at large. Most research contributions presented still have shortcomings especially with the use of multi-agent concept as they were used by only 3 of the studies investigated for context-aware between 2017 and 2018 respectively. Based on this shortcoming, the identify gaps suggest further study.

Reference
[1] A. R. d. M. Neves, Á. M. G. Carvalho, and C. G. Ralha, "Agent-based architecture for context-aware and personalized event recommendation," Expert Systems with Applications, vol. 41, pp. 563-573, 2/1/ 2014.
[2] H. Chen, T. Finin, and A. Joshi, "An ontology for context-aware pervasive computing environments," The Knowledge Engineering Review, vol. 18, pp. 197-207, 2003.Ibe A. K. Dey, G. D. Abowd, and D. Salber, "A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications," Human-computer interaction, vol. 16, pp. 97-166, 2001.
[3] A. K. Dey, "Understanding and using context," Personal and ubiquitous computing, vol. 5, pp. 4-7, 2001.
[4] B. N. Schilit and M. M. Theimer, "Disseminating active map information to mobile hosts," Network, IEEE, vol. 8, pp. 22-32, 1994.
[5] M. G. Al-Bashayreh, N. L. Hashim, and O. T. Khorma, "Context-Aware Mobile Patient Monitoring Frameworks: A Systematic Review and Research Agenda," Journal of Software (1796217X), vol. 8, 2013.
[6] D. Gallego, E. Barra, A. Gordillo, and G. Huecas, "Enhanced recommendations for e-Learning authoring tools based on a proactive context-aware recommender," in Frontiers in Education Conference, 2013 IEEE, 2013, pp. 1393-1395.
[7] S. Han, G. Lee, and N. Crespi, "Semantic Context-aware Service Composition for Building Automation System," Industrial Informatics, IEEE Transactions on, vol. PP, pp. 1-1, 2013
[8] G. Fenza, D. Furno, and V. Loia, "Hybrid approach for context-aware service discovery in healthcare domain," Journal of Computer and System Sciences, vol. 78, pp. 1232-1247, 7// 2012.
[9] A. Shatte, J. Holdsworth, and I. Lee, "Mobile augmented reality based context-aware library management system," Expert Systems with Applications, vol. 41, pp. 2174-2185, 4// 2014.
[10] N. Hariri, B. Mobasher, and R. Burke, "Query-driven context aware recommendation," in Proceedings of the 7th ACM conference on Recommender systems, pp. 9-16, 2013.
[11] J. Xiong and M. Wojciechowski, "A middleware supporting context-aware services based on context business objects," in Grid and Cooperative Computing, 2007. GCC 2007. Sixth International Conference on, 2007, pp. 379-386.
[12] J. Lukkari, J. Korhonen, and T. Ojala, "SmartRestaurant: mobile payments in context-aware environment," in Proceedings of the 6th international conference on Electronic commerce, 2004, pp. 575-582
[13] D. Gallego Vico, G. Huecas, and J. Salvachúa Rodríguez, "Generating context-aware recommendations using banking data in a mobile recommender system," in ICDS 2012, The Sixth International Conference on Digital Society, 2012, pp. 73-78
[14] A. Otebolaku, and G. M. Lee A Framework for Exploiting Internet of Things for Context-Aware Trust-Based Personalized Services. Mobile Information Systems, 2018. Pp. 1-31, 2018.
[15] B.A., Kitchenham, S. Charters, Guidelines for performing systematic literature reviews in software engineering. Ver 2.3, EBSE Technical report, 2007.
[16] P. Achimugu, A. Selamat, R. Ibrahim, and M. N. r. Mahrin, "A systematic literature review of software requirements prioritization research," Information and Software Technology, 2014.
[17] R. Wieringa, N. Maiden, N. Mead, and C. Rolland, "Requirements engineering paper classification and evaluation criteria: a proposal and a discussion," Requirements Engineering, vol. 11, pp. 102-107, 2006.
[18] A. Mehmood and D. N. Jawawi, "Aspect-oriented model-driven code generation: A systematic mapping study," Information and Software Technology, vol. 55, pp. 395-411, 2013.
[19] Meditskos, G., Dasiopoulou, S., and Kompatsiaris, I. (2016). MetaQ: A knowledge-driven framework for context-aware activity recognition combining SPARQL and OWL 2 activity patterns. Pervasive and mobile computing. 25, 104-124
[20] Wei-Po Lee, Chun-Ting Chen, Jhih-Yuan Huang, Jhen-Yi Liang, A Smartphone-Based Activity-Aware System for Music Streaming Recommendation, Knowledge-Based Systems (2017)
[21] A. Shatte, J. Holdsworth, and I. Lee, "Mobile augmented reality-based context-aware library management system," Expert Systems with Applications, vol. 41, pp. 2174-2185, 4// 2014
[22] J. R. Hoyos, J. García-Molina, and J. A. Botía, "A domain-specific language for context modeling in context-aware systems," Journal of Systems and Software, vol. 86, pp. 2890-2905, 11// 2013
[23] C. Biancalana, F. Gasparetti, A. Micarelli, and G. Sansonetti, "An approach to social recommendation for context-aware mobile services," ACM Transactions on Intelligent Systems and Technology (TIST), vol. 4, p. 10, 2013
[24] B. Chihani, E. Bertin, and N. Crespi, "A user-centric context-aware mobile assistant," in Intelligence in Next Generation Networks (ICIN), 2013 17th International Conference on, 2013, pp. 110-117
[25] Y. Jian, L. Jintao, S. Hongzhou, G. Xiaoguang, and Z. Zhenmin, "A Fuzzy Petri Net Model towards Context-Awareness Based Personalized Recommendation," in Fuzzy Systems and Knowledge Discovery, 2008. FSKD `08. Fifth International Conference on, 2008, pp. 325-330
[26] T. H. Dao, S. R. Jeong, and H. Ahn, "A novel recommendation model of location-based advertising: Context-Aware Collaborative Filtering using GA approach," Expert Systems with Applications, vol. 39, pp. 3731-3739, 2/15/ 2012
[27] A. R. d. M. Neves, Á. M. G. Carvalho, and C. G. Ralha, "Agent-based architecture for context-aware and personalized event recommendation," Expert Systems with Applications, vol. 41, pp. 563-573, 2/1/ 2014
[28] P.A. Aliga, F.I. Sadiq, and E.C. Ojieabu (2017) Mobile computing based on context-aware in higher institutions, Proceedings of 3rd international Conference of Science, Engineering and Social Sciences Universiti Teknologi Malaysia 17 -18 May, 216-219
[29] Kayes, A.S.M., Han, J., Rahayu, W., Islam, M. and Colman, A., (2017). A Policy Model and Framework for Context-Aware Access Control to Information Resources. Semantic Scholar CORR, pp. 1-26
[30] J. J. Jung, "Contextual synchronization for efficient social collaborations in enterprise computing: A case study on TweetPulse," Concurrent Engineering, vol. 21, pp. 209-216, 2013
[31] X. Liu and K. Aberer, "SoCo: a social network aided context-aware recommender system," in Proceedings of the 22nd international conference on World Wide Web, 2013, pp. 781-802
[32] S. Luz and M. Masoodian, "Improving focus and context awareness in interactive visualization of time lines," in Proceedings of the 24th BCS Interaction Specialist Group Conference, 2010, pp. 72-80
[33] J. McKendrick, "The Post-Relational Reality Sets in: 2011 Survey on Unstructured Data," Unisphere Research, 2011
[34] C.-M. Chen and Y.-L. Li, "Personalised context-aware ubiquitous learning system for supporting effective English vocabulary learning," Interactive Learning Environments, vol. 18, pp. 341-364, 2010
[35] T. S.-H. Wang, D. W. Tjondronegoro, M. Docherty, and W. Song, "Uninav: a context-aware mobile application for university campus maps," in Internet of Things Workshop, 2012
[36] MAM, (2018), “Context Aware Computing Market worth US $120 Billion by 2018”, https://www.marketsandmarkets.com/PressReleases/context-aware-computing.asp (accessed: June 8, 2018).
[37] N. Noy and D. L. McGuinness, "Ontology Development 101," Knowledge Systems Laboratory, Stanford University, 2001
[38] C. Wang, Z. Wang, and Q. Li, "Study of the E-learning system based on the personalized knowledge search," 2013, pp. 592-598
[39] D. Gallego, E. Barra, A. Gordillo, and G. Huecas, "Enhanced recommendations for e-Learning authoring tools based on a proactive context-aware recommender," in Frontiers in Education Conference, 2013 IEEE, 2013, pp. 1393-1395
[40] D. T. Ku and C. Chia-Chi, "Development of Context Awareness Learning System for Elementary Chinese Language Learning," Computing (ICGEC), 2012 Sixth International conference on Genetic and Evolutionary, 2012, pp. 538-541. arning Based on Deep Models for Environmental Audio Tagging ”, IEEE/ACM Transactions on Audio, Speech and Language Processing, VOL. 25, NO. 6, June 2017.

Keywords
Context-aware Computing, Techniques, Mobile Computing Application, and Evaluation Measure.