Performance Analysis of Specification Computer and Mobile with Implementation Tawaf Virtual Reality using A* Algorithm and RVO System
High-Performance Computer (HPC) is computer systems that are built to be able to solve computational loads. HPC can provide a high-performance technology and short the computing processes timing. This technology was often used in large-scale industries and several activities that require high-level computing, such as rendering virtual reality technology. In this research, we provide Tawafâ€™s Virtual Reality with 1000 of Pilgrims and realistic surroundings of Masjidil-Haram as the interactive and immersive simulation technology by imitating them with 3D models. Thus, the main purpose of this study is to calculate and to understand the processing time of its Virtual Reality with the implementation of tawaf activities using various platforms; such as computer and Android smartphone. The results showed that the outer-line or outer rotation of Kaaâ€™bah mostly consumes minimum times although he must pass the longer distance than the closer one. Â It happened because the agent with the closer area to Kaabah is facing the crowded peoples. It means an obstacle has the more impact than the distances in this case.
R. Narain, A. Golas, S. Curtis, and M. C. Lin. Aggregate Dynamics for Dense Crowd Simulation. University of North Carolina at Chapel Hill.
S. Curtis, S. J. Guy, B.Zafar, and D. Manocha. Virtual Tawaf: A Case Study in Simulating the Behavior of Dense, Heterogeneous Crowds. In http://gamma.cs.unc.edu/ LARGE.
M. P. Stennett, D. M. Romano, and O. A. Kurdi. Modelling and Simulation of Tawaf and Saâ€™yee: A Survey of Recent Work in the Field. 29th ESMâ€™ 2015, 26-28 Oct 2015, Leicester, UK.
Yenie Syukriyah, (2016). Penerapan Algoritma A*(STAR) Untuk Mencari Rute Tercepat Dengan Hambatan. Bandung, Indonesia
Jur Van Den Berg, et al. Reciprocal Velocity Obstacles for Real-time Multi-Agent Navigation. 2008 IEEE International Conference on Robotics and AutomationPasadena, CA, USA.
Reza Olfati-Saber, 2004. Flocking for Multi-Agent Dynamic Systems: Algorithms and Theory. California Institute of Technology
Maxim Likhachev, Anytime Dynamic A*: An Anytime, Replanning Algorithm, Carnegie Mellon University Pittsburgh, PA, USA
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