National University of Computer and Emerging Sciences

www.nu.edu.pk
Islamabad, Pakistan

The National University of Computer and Emerging science is a private research university and one of the leading technical institutions in Pakistan. It has multiple campuses based in cosmopolitan cities of Pakistan and has distinction of being the first multi-campus university in Pakistan.The Foundation for Advancement of Science and Technology was founded and established by BCCI financier Hasan Abidi that provided a large financial capital for university's purpose to promote research in computer science and emerging technologies in 1980. Established in 2000, it is regarded as one of the leading technical universities in Pakistan. It offers a wide range of programs for undergraduate, postgraduate, and doctoral studies in engineering, management science, business administration, humanities, arts and natural and social science. It is consistently ranked among one of the leading and top institutions of higher learning in the country, securing its top rank in the computer science/IT category by the HEC in 2010.The university's guidelines are committed to producing graduates of the highest order who may act as vanguard of the IT Revolution in Pakistan. Wikipedia.

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Shahzad F.,National University of Computer and Emerging Sciences
ICIEECT 2017 - International Conference on Innovations in Electrical Engineering and Computational Technologies 2017, Proceedings | Year: 2017

Property protection from intrusions and thefts costs a lot of money in the form of security cameras or hiring security personnel. Moreover, security camera systems can be easily compromised by the intruders resulting in thousands of dollars of investment going to waste. Even the video feed acquired by the cameras is neither helpful in identifying the intruder nor in stopping the intrusion. In this paper, a low-cost solution to intrusion protection which has a very-short alert time and is almost fail proof is presented. A app using the proximity sensor of a mobile phone is developed to demonstrate that our homes and other properties can be protected against intrusions without having to spend thousands of dollars in security cameras and security guards. Experimental results show that smart phones are not only capable of detecting an intruder on its own but can also inform the property owner of the intrusion within seconds of intrusion so that abrupt action can be taken and thereby valuables can be saved from being stolen. © 2017 IEEE.


Shamir M.F.,National University of Computer and Emerging Sciences
Journal of Experimental and Theoretical Physics | Year: 2016

We discuss dark-energy cosmological models in f(G) gravity. For this purpose, a locally rotationally symmetric Bianchi type I cosmological model is considered. First, exact solutions with a well-known form of the f(G) model are explored. One general solution is discussed using a power-law f(G) gravity model and physical quantities are calculated. In particular, Kasner’s universe is recovered and the corresponding f(G) gravity models are reported. Second, the energy conditions for the model under consideration are discussed using graphical analysis. It is concluded that solutions with f(G) = G5/6 support expansion of universe while those with f(G) = G1/2 do not favor the current expansion. © 2016, Pleiades Publishing, Inc.


Beg I.,Lahore School of Economics | Rashid T.,National University of Computer and Emerging Sciences
International Journal of Intelligent Systems | Year: 2013

We propose a new method to aggregate the opinion of experts or decision makers on different criteria, regarding a set of alternatives, where the opinion of the experts is represented by hesitant fuzzy linguistic term sets. An illustrative example is provided to elaborate the proposed method for selection of the best alternative. © 2013 Wiley Periodicals, Inc.


Saleem M.,Center for Advanced Studies in Engineering | Di Caro G.A.,Instituto Dalle Molle Of Studi Sullintelligenza Artificiale Idsia | Farooq M.,National University of Computer and Emerging Sciences
Information Sciences | Year: 2011

Swarm intelligence is a relatively novel field. It addresses the study of the collective behaviors of systems made by many components that coordinate using decentralized controls and self-organization. A large part of the research in swarm intelligence has focused on the reverse engineering and the adaptation of collective behaviors observed in natural systems with the aim of designing effective algorithms for distributed optimization. These algorithms, like their natural systems of inspiration, show the desirable properties of being adaptive, scalable, and robust. These are key properties in the context of network routing, and in particular of routing in wireless sensor networks. Therefore, in the last decade, a number of routing protocols for wireless sensor networks have been developed according to the principles of swarm intelligence, and, in particular, taking inspiration from the foraging behaviors of ant and bee colonies. In this paper, we provide an extensive survey of these protocols. We discuss the general principles of swarm intelligence and of its application to routing. We also introduce a novel taxonomy for routing protocols in wireless sensor networks and use it to classify the surveyed protocols. We conclude the paper with a critical analysis of the status of the field, pointing out a number of fundamental issues related to the (mis) use of scientific methodology and evaluation procedures, and we identify some future research directions. © 2011 Elsevier Inc. All rights reserved.


Shamir M.F.,National University of Computer and Emerging Sciences
Journal of Experimental and Theoretical Physics | Year: 2014

We investigate the exact solutions of a Bianchi type-I space-time in the context of f(R, T) gravity [1], where f(R, T) is an arbitrary function of the Ricci scalar R and the trace of the energy-momentum tensor T. For this purpose, we find two exact solutions using the assumption of a constant deceleration parameter and the variation law of the Hubble parameter. The obtained solutions correspond to two different models of the Universe. The physical behavior of these models is also discussed. © 2014, Pleiades Publishing, Inc.


Saleem M.,National University of Computer and Emerging Sciences | Ullah I.,National University of Computer and Emerging Sciences | Farooq M.,National University of Computer and Emerging Sciences
Information Sciences | Year: 2012

Design and development of power-aware, scalable and performance-efficient routing protocols for wireless sensor networks (WSNs) is an active area of research. In this paper, we show that insect-colonies-based-intelligence - commonly referred to as Swarm Intelligence (SI) - serves as an ideal model for developing routing protocols for WSNs because they consist of minimalist, autonomous individuals that through local interactions self-organize to produce system-level behaviors that show life-long adaptivity to changes and perturbations in an external environment. In this paper, we propose bee-inspired BeeSensor protocol that is energy-aware, scalable and efficient. The important contribution of this work is a three phase protocol design strategy: (1) we first take inspiration from biological systems to develop a distributed, decentralized and simple routing protocol, (2) we formally model important performance metrics of our protocol to get an analytic insight into its behavior, and (3) we improve our protocol on the basis of our analysis in phase 2. We then evaluate its performance in a sensor network simulator. The results of our experiments demonstrate the utility of this three phase protocol engineering, which helped BeeSensor in achieving the best performance with the least communication and processing costs - two main sources of energy consumption in sensor networks - as compared to other SI based WSN routing protocols. © 2012 Elsevier Inc. All rights reserved.


Shamir M.F.,National University of Computer and Emerging Sciences
International Journal of Theoretical Physics | Year: 2015

The main purpose of this paper is to explore the exact solutions of Bianchi type V spacetime in f(R, T) theory of gravity (Harko et al. 2011). In this context, two exact solutions are investigated using assumptions of the variation law of Hubble parameter and constant deceleration parameter. The first solution corresponds to a singular model while the second solution gives a non-singular model of the universe. The physical quantities for these models are calculated. Moreover, the energy density and pressure of the universe is discussed in each case. © 2014, Springer Science+Business Media New York.


Shamir M.F.,National University of Computer and Emerging Sciences
Communications in Theoretical Physics | Year: 2016

The main purpose of this paper is to investigate the exact solutions of plane symmetric spacetime in the context of f(R,T) gravity [Phys. Rev. D 84 (2011) 024020], where f(R,T) is an arbitrary function of Ricci scalar R and trace of the energy momentum tensor T. We explore the exact solutions for two different classes of f(R,T) models. The first class f(R,T) = R + 2f(T) yields a solution which corresponds to Taub's metric while the second class f(R,T) = f1(R) + f2(T) provides two additional solutions which include the well known anti-deSitter spacetime. The energy densities and corresponding functions for f(R,T) models are evaluated in each case. © 2016 Chinese Physical Society and IOP Publishing Ltd.


Bashir S.,National University of Computer and Emerging Sciences
Neurocomputing | Year: 2014

Retrievability is a measure of access that quantifies how easily documents can be found using a retrieval system. Such a measure is of particular interest within the recall oriented retrieval domains such as patent or legal retrieval. This is because if a retrieval system for these retrieval domains makes some documents hard to find then professional searchers would have a difficult time when retrieving these documents. One main limitation of retrievability analysis is that it depends upon the processing of exhaustive number of queries. This requires large processing time and resources. In order to handle this problem, in this paper we use document features based approach in order to estimate the retrievability ranks of documents. In experiments, the strong correlation between features and retrievability scores on different collections confirms that it is possible to estimate the retrievability ranks of documents without processing queries. One major advantage of this approach is that it requires fewer resources, and can be computed more quickly as compared to query based approach. While, on the other hand, one major disadvantage of this approach is that it can only estimate the retrievability ranks of documents, but cannot calculate how much there is retrievability inequality (retrieval bias) between the documents of collection. © 2013 Elsevier B.V.


Patent
National University of Computer and Emerging Sciences | Date: 2013-11-11

A method, system, and apparatus configured to use a Bayesian inference model for detecting botnets in a network is disclosed. The system and apparatus may include an event generator and a controller. The event generator may detect at least one event in received data, and provide information associated with the at least one event. The controller may receive the information associated with the at least one event, determine, using a Bayesian learning process, a Bayesian network model based on the information associated with the at least one event, and determine whether at least one host associated with the received data is a bot.

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