User:Ehtishamrehman6/sandbox

NCBC Peshawar main focus is to effectively utilize cloud computing for Big Data applications for solutions to problems of national importance. With the support of cloud computing resource-limited resource devices can perform heavy data services to store, edit, generate, process, and communicate media files such as audio, video, images, graphics, and so on, even without large storage and computation power. Therefore, keeping in view the advantages of cloud computing in the provisioning and processing of big data and its suitability for the emerging trend in mobile devices and Pakistani R&D environment having limited hardware resources, the utility of cloud computing is plausible. In the proposed Lab, our focus is on the following key sub-domains(modules), which are R&D problems of National importance. Total number of modules are four in this research project;

The objective of this R&D activity is to develop a cloud computing-based land-use and change detection system using remote sensing to assist Planning Agencies, Government organizations, environment monitoring agencies, individuals and organizations, to effectively obtain land-use and change detection statistics for planning and monitoring of the land surface and environment. A Remote Sensing system will be developed that will effectively utilization cloud storage, computing, and analytics resource for land-cover use and change detection. The objective of this R&D activity is to develop a cloud computing-based P2P live and on-demand multimedia streaming application to assist media houses, educational institutes, individuals and organizations, to stream live multimedia contents, with support of scalability feature to work effectively in diverse networking conditions and provision of high users quality of experience with an increase in the number of users. An open-source P2P multimedia streaming system will be developed, that will effectively utilization cloud computing, storage, and analytics resource for multimedia streaming. Gathering of digital data and computing analytics to ensure governmental regularization of revenue and citizens welfare from digital apps and IoT ecosystem. The map-based digital portal will be developed that provides citizens and governing bodies with visual analytics to understand complex municipal data e.g. a citizen can see the analytics of pollution, crimes, road conditions, load shedding timing, street light conditions of any postal code. Governing bodies can use data for policymaking, and monitoring. The digital portal will have the support of search engines, analytics, and heat map support. Vehicular traffic flow is a dynamic system, experiences perturbation because of new entrant vehicles at ingress. Causing shock waves that travel back in the traffic flow system causing congestions. Congestion, excessive acceleration and deceleration increase fuel consumption, emissions (CO2, CO, dust particles, etc.) and accident's vulnerability. Traffic flow models will be devised using Wave propagation, Fluid Flow dynamics, Constraint/linear programming, Queuing theory and regression techniques for forecasting, congestion mitigation, and ameliorating traffic flow. A working simulator for traffic flow characterization and analytics will be developed that will support real-time route choice to the drivers by integrating real-time data (congestion, pollution, and the traffic flow) and make decisions for real-time traffic.
 * Remote sensing big data analytics:
 *  Multimedia streaming and analytics:
 *  Cloud Integration and analytics for mass data platform:
 *  Traffic characterization and analytics: