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.

Exploring plane-symmetric solutions in f(R) gravity

Abstract: The modified theories of gravity, especially the f(R) gravity, have attracted much attention in the last decade. This paper is devoted to exploring plane-symmetric solutions in the context of metric f(R) gravity. We extend the work on static plane-symmetric vacuum solutions in f(R) gravity already available in the literature [1, 2]. The modified field equations are solved using the assumptions of both constant and nonconstant scalar curvature. Some well-known solutions are recovered with power-law and logarithmic forms of f(R) models.

Securing Internet of Bio-Nano Things: ML-Enabled Parameter Profiling of Bio-Cyber Interfaces

Abstract: The Internet of Bio-Nano Things (IoBNT) is an emerging paradigm at the cross-roads of Internet of Things (IoT), E-healthcare and synthetic biology. IoB Nt relies on innovating molecular communication between biologically synthesized nanodevices to facilitate in vivo drug delivery, remote monitoring and healthcare management via. the Internet. IoBNT therefore, requires robust security primitives to adequately address patient privacy concerns, increase physician confidence as well as limit (any) malicious operation resulting in bio-terrorism. The present work focused on securing the bio-cyber interfacing of IoB Nt technologies and considered three prevalent bio-electrical transduction techniques including bio-luminescence, redox modality and biological field effect transistors (BioFETs). Using the state-of-the-art machine learning (ML) algorithms, the proposed security framework employed parameter profiling the distinct operating features of bio-cyber interfaces and aimed to identify anomalous operation. During validation, an optimal profiling accuracy ranging between 88–91 % was recorded. The corresponding time complexity, scalability and qualitative analysis of the proposed parameter profiling-based framework leads to us to recommend it for further adoption in improving IoBNT security.

Power Loss Reduction via Distributed Generation System Injected in a Radial Feeder

Abstract: The energy demand all over the world is increasing rapidly day by day. In traditional power systems, power plants are located far away from the consumer’s premises. This in turn causes a substantial amount of power loss both in transmission and distribution. In general, distribution system has more losses than the losses occurred on the transmission side. It employs that there will be a significant difference between the generated power and the energy consumers that are (physically) far away from the generating stations. Therefore, the electric utilities always remain under stress due to such non negligible amount of losses which has a direct impact on financial management and efficiency of the power system as well. To address this issue different technique have been introduced to reduce line losses and to improve the efficiency. The best among these techniques is line loss reduction through Distributed Generation (DG) which is more effective than the other techniques. In this paper we have taken three 11kV feeders (located at Bannu) as a case study and for the prescribed technique an attempt has been made to increase the efficiency of a system by integrating different capacity of DG into a radial distribution feeder. The results have been analyzed mathematically, however Electrical Transient Analyzer Program (ETAP) simulator is used as a test bed. Finally, the obtained results are presented in tabular and graphical form in terms of clearly defined parameters.

An Integrated Model to Enhance Virtual Learning Environments with Current Social Networking Perspective

Abstract: A Virtual Learning Environment (VLE) is an accumulation of incorporated soft-ware components, empowering the administration of web-based learning (online learning, e-learning). The quality of VLE is indispensable for the accomplishment of e-learning goals and responsible to engage students during web based learning. The attributes of existing VLES does not completely meet with the requirements of today’s e-learning. Consequently, decreases students’ interest, participation and engagement with web-based e-learning. In contrast, the learners’ engagement and participation are higher in social networking sites (SNS). For this reason, many researchers believe that the inclusion of features, similar to SNSs, in VLE may in-crease its effectivity. The goal of this research article is to investigate existing e-learning platform and make a room for SNSs and online tools for e-learning. The paper proposes an integrated model to enhance existing e-learning environment by incorporating the strength of SNSs and other potential tools with VLEs. This re-search article will provide a good direction and new thoughts for the researchers of technology supported learning-domain.