National University of Computer and Emerging Sciences

About: National University of Computer and Emerging Sciences is a education organization based out in Islamabad, Pakistan. It is known for research contribution in the topics: Computer science & The Internet. The organization has 1506 authors who have published 2438 publications receiving 26786 citations.

A novel solution technique for two dimensional Burger’s equation

Abstract: In this paper, the Laplace decomposition method (LDM) is proposed to solve the two-dimensional nonlinear Burgers’ differential equations. Two test problems are considered to illustrate the accuracy of the proposed algorithm. It is shown that the numerical results are in good agreement with the exact solutions for each problem.

Fog-Centric IoT Based Framework for Healthcare Monitoring, Management and Early Warning System

Abstract: Internet of things (IoT) and machine learning based systems incorporating smart wearable technology are rapidly evolving to monitor and manage healthcare and physical activities. This paper is focused on the proposition of a fog-centric wireless, real-time, smart wearable and IoT-based framework for ubiquitous health and fitness analysis in a smart gym environment. The proposed framework aims to aid in the health and fitness industry based on body vitals, body movement and health related data. The framework is expected to assist athletes, trainers and physicians with the interpretation of multiple physical signs and raise alerts in case of any health hazard. We proposed a method to collect and analyze exercise specific data which can be used to measure exercise intensity and its benefit to athlete’s health and serve as recommendation system for upcoming athletes. We determined the validity of the proposed framework by giving a six weeks workout plan with six days a week for workout activity targeting all muscles followed by one day for recovery. We recorded the electrocardiogram, heart rate, heart rate variability, breath rate, and determined athlete’s movement using a 3D-acceleration. The collected data in the research is used in two modules. A Health zone module implemented on body vitals data which categorizes athlete’s health state into various categories. Hzone module is responsible for health hazards identification and alarming. Outstandingly, the Hzone module is able to identify an athlete’s physical state with 97% accuracy. A gym activity recognition (GAR) module is implemented to recognize workout activity in real-time using body movements and body vitals data. The purpose of the GAR module is to collect and analyze exercise specific data. The GAR module achieved an accuracy of above 89% on athlete independent model based on muscle group.

Towards autonomous cleaning of photovoltaic modules: Design and realization of a robotic cleaner

Abstract: Solar panels typically consist of photovoltaic (PV) cells covered by a protective glass coating, which generate electricity when subjected to radiations. However, the capability of electricity generation is constrained due to layer of dust on PV modules. In contrast with conventional method of cleaning the modules using water, this paper presents design and development of a robotic cleaner for cleaning PV modules of Quaid-e-Azam Solar Park (QASP). The hardware as well as software architectures of the proposed robotic cleaner are detailed. The novelty of the design lies in its low cost indigenous development and simplicity in design. The mechanism primarily consists of ducted fan, roller brush and blower fan to offer slippage-free motion and cleaning on a glassy surface. Series of experiments and field trials demonstrate efficiency of the mechanism in cleaning the modules effectively.

Adaptive Digital Watermarking of Images Using Genetic Algorithm

Abstract: This paper presents a new method for adaptive watermark strength optimization in Discrete Cosine Transform (DCT) domain. Watermarking is a method to embed secret information in the host medium. Optimal strength selection for watermark is the most critical aspect in the whole process and it had attracted many researchers in the recent past. In the proposed method watermark strength is intelligently selected through Genetic Algorithm (GA). GA helps in perceptual shaping of the watermark such that it is less perceivable to the human visual system. Proposed method shows promising results against different attacks, such as low-pass filter, high-pass filter, median filters, shifting and cropping the marked image. Experimental results have shown better performance of the proposed method than the current approaches in practice