A Support Vector Machine Classification of Computational Capabilities of 3D Map on Mobile Device for Navigation Aid

Authors

  • Adamu Abubakar International Islamic University Malaysia
  • Teddy Mantoro Faculty of Science and Technology, Sampoerna University, Jakarta, Indonesia
  • Sardjoeni Moedjiono Budi Luhur University, Computer Science Post Graduate Program, Jakarta
  • Media Anugerah Ayu
  • Haruna Chiroma Department of Artificial Intelligence, University of Malaya, 50603 Pantai Valley, Kuala Lumpur
  • Ahmad Waqas Department of Computer Science, Faculty of Information and Communication Technology, International Islamic University Malaysia
  • Shafi’i Muhammad Abdulhamid Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru Malaysia
  • Mukhtar Fatihu Hamza department of mechanical engineering, University of Malaya, Kuala Lumpur, Malaysia
  • Abdulsalam Ya'u Gital

DOI:

https://doi.org/10.3991/ijim.v10i3.5056

Keywords:

3D Map, Graphical Processing Unit, Support Vector Machine. In-core rendering, out-of-core rendering

Abstract


3D map for mobile devices provide more realistic view of an environment and serves as better navigation aid. Previous research studies shows differences in 3D maps effect on acquiring of spatial knowledge. This is attributed to the differences in mobile device computational capabilities. Crucial to this, is the time it takes for 3D map dataset to be rendered for a required complete navigation task. Different findings suggest different approach on solving the problem of time require for both in-core (inside mobile) and out-core (remote) rendering of 3D dataset. Unfortunately, studies on analytical techniques required to shows the impact of computational resources required for the use of 3D map on mobile device were neglected by the research communities. This paper uses Support Vector Machine (SVM) to analytically classify mobile device computational capabilities required for 3D map that will be suitable for use as navigation aid. Fifty different Smart phones were categorized on the bases of their Graphical Processing Unit (GPU), display resolution, memory and size. The result of the proposed classification shows high accuracy

Author Biographies

Adamu Abubakar, International Islamic University Malaysia

A.I Abubakar is currently an Assistant Professor at International Islamic University of Malaysia, Kuala Lumpur. His academic qualifications were obtained from Bayero University Kano Nigeria, for bachelor and post graduate diploma and master degrees, and in International Islamic University Malaysia for PhD degree. His research area of interest is on Navigation. He is now working on 3D Navigation Aid. (e-mail: adamu@iium.edu.my).

Teddy Mantoro, Faculty of Science and Technology, Sampoerna University, Jakarta, Indonesia

T. Mantoro is currently a professor at faculty of science and technology, Sampoerna University, Jakarta, Indonesia. He holds PhD, MSc and BSc, all in Computer Science. He received PhD from School of Computer Science, the Australian National University (ANU), Canberra, Australia. His research interest is in Pervasive/Ubiquitous Computing, Context Aware Computing, Mobile Computing and Intelligent Environment. (e-mail: tmantoro@gmail.com).

Sardjoeni Moedjiono, Budi Luhur University, Computer Science Post Graduate Program, Jakarta

S. Moedjiono is currently Director of Postgraduate Program, Budi Luhur University, Jakarta, Indonesia. In addition, he is also serving as an Executive Team Member of the Indonesia National ICT Council, and a member of Multi-stakeholder Advisory Group of Internet Governance Forum (MAG/IGF) Indonesian Chapter. He was serving in the Indonesian Navy, then joining the Ministry of Communication and Information Technology, and member of Government Advisory Committee of the Internet Corporation for Assigned Names and Numbers (GAC/ICANN). He earned his Master of Science degree in Computer Science from the United States Naval Postgraduate School, and a Doctor of Science in Computer Science from the George Washington University, Washington, DC, USA. He has authored several research papers posted in journals and proceedings. (e-mail: moedjiono@budiluhur.ac.id).

Haruna Chiroma, Department of Artificial Intelligence, University of Malaya, 50603 Pantai Valley, Kuala Lumpur

H. Chiroma is a PhD candidate at the Department of Artificial Intelligence, University of Malaya and a Lecturer at the Federal College of Education (Technical), Gombe, Nigeria. He holds a BTech and MSc in Computer Science from Abubakar Tafawa Balewa University, Bauchi, Nigeria and Bayero University Kano, Nigeria respectively. His main research interest is on metaheuristic algorithms (e-mail: freedonchi@yahoo.com).

Ahmad Waqas, Department of Computer Science, Faculty of Information and Communication Technology, International Islamic University Malaysia

A. Waqas is with the department of computer science sukkur institute of business administration, Sukkur Pakistan as a lecturer and currently working on Cloud Computing security issues for a self-securing architecture for federated clouds as part of his PhD research in Department of Computer Science, Faculty of Information and Communication Technology, International Islamic University Malaysia. His major research interest is on, Distributed systems, Cloud Computing, Network Design, Security and Management, Algorithms and Data Structures. (e-mail: ahmad.waqas@iba-suk.edu.pk).

Shafi’i Muhammad Abdulhamid, Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru Malaysia

S.M Abdulhamid is a PhD candidate at the faculty of computing, Universiti Teknologi Malaysia, Johor Bahru Malaysia and a Lecturer at the Federal University of Technology Minna, Nigeria. He holds a BTech and MSc in Computer Science from Federal University of Technology Minna, Nigeria and Bayero University Kano, Nigeria respectively. His Research Interests:Cyber Security, Grid Computing, Cloud Computing, Machine Learning, and Network Security

Mukhtar Fatihu Hamza, department of mechanical engineering, University of Malaya, Kuala Lumpur, Malaysia

M.F. Hamza is with the department of Mechatronics Engineering, Bayero University Kano, Nigeria and currently a PhD candidate at the department of mechanical engineering, University of Malaya, Kuala Lumpur, Malaysia. His major research interest is on PSO-Based Controllers for Non-Linear Systems as a PhD candidate. Malaysia (e-mail: emukhtarfh@gmail.com).

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Published

2016-07-26

How to Cite

Abubakar, A., Mantoro, T., Moedjiono, S., Ayu, M. A., Chiroma, H., Waqas, A., Muhammad Abdulhamid, S., Fatihu Hamza, M., & Gital, A. Y. (2016). A Support Vector Machine Classification of Computational Capabilities of 3D Map on Mobile Device for Navigation Aid. International Journal of Interactive Mobile Technologies (iJIM), 10(3), pp. 4–10. https://doi.org/10.3991/ijim.v10i3.5056

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Papers