Peshawar, Pakistan

Iqra National University
Peshawar, Pakistan
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Saeed N.,Iqra National University | Haris M.,University of Peshawar | Ul Haq M.I.,Hanyang University
Proceedings of 2017 International Conference on Communication, Computing and Digital Systems, C-CODE 2017 | Year: 2017

In this paper a local geometry alignment algorithm is presented for locating the primary users (PUs) and Secondary users (SUs) in cognitive radio network. Based on the estimated distance between PUs and SUs for the neighbors within certain communication range, the relative configuration of all the users in the network is obtained initially and is refined finally to get the global position of every user in the network. The localization performance of the proposed approach is compared to multidimensional scaling and principal component analysis. Furthermore the lower bound on error i.e., the Cramer Rao lower bound (CRLB) is also derived to check the performance of the proposed algorithm. © 2017 IEEE.

Khan Z.W.,North China Electrical Power University | Khan S.,Instituto Nacional Of Electricidad Y Energias Limpias | Waqas M.,Abasyn University | Ahmad S.,Iqra National University
2017 International Conference on Electrical Engineering, ICEE 2017 | Year: 2017

Due to rapid growth of energy demand all over the world and huge concerns about environmental effects, energy utilities are compelled to use renewable energy based power generating sources. Among various technologies, wind turbine generators and photovoltaic systems are most commonly used for distributed generation (DG) applications. In this research paper, the impacts of wind turbine generator on voltage profile and power losses of the local distribution network are studied based on the two different operational modes of the wind turbine. From simulation results it can be clearly seen that there is better improvement in voltage profile and reduction in power losses when wind turbine generator is operated in the voltage control mode. The whole setup is simulated and implemented in ETAP software. © 2017 IEEE.

Naeem M.N.,The University of Faisalabad | Gamkhar M.,The University of Faisalabad | Arshad S.H.,Iqra National University | Shah A.G.,Government of Punjab
Journal of Mechanical Science and Technology | Year: 2013

This study gives a brief work on vibration characteristics of cylindrical shells submerged in an incompressible fluid. The shell is presumed to be structured from functionally graded material. The effect of the fluid is introduced by using the acoustic wave equation. Love's first order thin shell theory is utilized in the shell dynamical equations. The problem is framed by combining shell dynamical equations with the acoustic wave equation. Fluid-loaded terms are associated with Hankel function of second kind. Wave propagation approach is employed to solve the shell problem. Some comparisons of numerical results are performed for the natural frequencies of simply supported-simply supported, clamped-clamped and clamped-simply supported boundary conditions of isotropic as well as functionally graded cylindrical shells to check the validity of the present approach. The influence of fluid on the submerged functionally graded cylindrical shells is noticed to be very pronounced. © 2013 The Korean Society of Mechanical Engineers and Springer-Verlag Berlin Heidelberg.

Afridi H.G.,Iqra National University
Proceedings - 2017 IEEE/ACM 39th International Conference on Software Engineering Companion, ICSE-C 2017 | Year: 2017

Numerous reward system practices are adopted in software development companies in order to motivate their developers to perform at best level and align the management and developer's interest. However, due to lack of a central mechanism for team formation on crowdsourcing-based software development platform, it is difficult for managers to adopt effective reward system strategies in order to align the developer's interest. In order to address this issue, we exploit an approach, to empirically investigate the existing reward system practices, adopted on the crowdsourcing-based software development platforms, to motivate their developers and their perception. Subsequently, we implement a crawler to mine the characteristics of completed tasks and related reward information from the TopCoder platform of Tech Platform Inc (TPI). The promising results suggest the applicability of the proposed approach in order, 1) to investigate the reward system practices across the crowdsourcing-based platforms and, 2) to help the managers in formulating and implementing an effective reward system to incentivize their developers. © 2017 IEEE.

Ahmad T.,Iqra National University | Li X.,Beijing University of Posts and Telecommunications
Journal of Computational Information Systems | Year: 2012

In last few decades, number of efforts has been made to improve the visual quality of a degraded image. However, generating a desired high resolution image by means of the wavelet and other well-known transforms introduces many visual artifacts due to the Gibbs-like phenomena. In this paper, we propose a new algorithm based on curvelet transform to exploit its high energy compaction nature in order to reconstruct a high resolution image for the given low resolution input images. The low resolution images are first partially reconstructed by applying curvelet transform according to our proposed criteria. The proposed criteria are based on the calculated absolute kurtosis values of the input images. The partially reconstructed images are then registered using Marcel et. al. algorithm in spatial domain, which are then fused together using conventional POCS method. We apply our propose algorithm to the problem of restoring standard corrupt test images from noisy data and compare our results with those obtained via well-established technique. Our experiments show that the proposed algorithm outperforms the conventional super resolution technique both subjectively as well as in terms of the various estimation indices. Copyright © 2012 Binary Information Press.

Mehr-E-Munir,Iqra National University | Farooq U.,Iqra National University
Modern Problems of Radio Engineering, Telecommunications and Computer Science, Proceedings of the 13th International Conference on TCSET 2016 | Year: 2016

A novel technique for miniaturization of microstrip patch antenna is proposed for Portable and multifunctional Communication systems. Our proposed design consists of fractal patch, E-Shaped slot on fractal patch with first iteration and combination of H-Shape and L-Shape slots on the Ground plane. In this way we get smaller size antenna which is smaller than the conventional antenna. The most interesting feature of our proposed design is that we are getting multiband response in the frequency range of 1-8GHZ having Directivity in the range of 3.11dBi-5.84dBi, Gain in the range of -1.7dB- 6.23dB and good impedance bandwidth for desired bands. As we have used the fractal patch with substrate FR4.Co-axial cable is used as a feeding method. We also employed shorting pin between fractal patch and ground plane. By the combination of all these proposed technique size of antenna is reduced 91.72% and it produces multiband response while the impedance bandwidth and gain are satisfactory for each band. We can adjust different bands by changing position of shorting pin. This type of smaller size antenna has applications in mobile phone as well as for L-Band, S-Band and C-Band applications. © 2016 National University Lviv Polytechnic.

Afridi M.I.,Iqra National University
Applied Mechanics and Materials | Year: 2013

A cognitive routing system intelligently selects one protocol at a time for specific routing conditions and environment in MANET. Cognition or self learning can be achieved in a cognitive routing system for mobile ad-hoc network (MANET) through a learning system like learning automata or neural networks. This article covers the application of learning automata and neural network to achieve cognition in MANET routing system. Mobile Ad-hoc networks are dynamic in nature and lack any fixed infrastructure, so the implementation of cognition enhances the performance of overall routing system in these networks. In learning automata the process of learning is different from reasoning or decision making. Learning automata require little knowledge to take decisions. Neural network can be improved by increasing the number of neurons and changing parameters. Self training enhance neural network performance and it select suitable protocol for a given network environment. © (2013) Trans Tech Publications, Switzerland.

Working Capital Management has an underlying impression on a firm's output performance. However, for larger firms, working capital does not usually constitute a sizeable fraction of their total assets. It is, therefore, perceived that an efficient management of working capital might not be an issue of marked concern for larger corporations. With this conjecture, this study moves on to determine the potential effect of working capital management on the profit performance of large-sized companies listed in Karachi Stock Exchange. To investigate, effect of working capital management was determined on profitability of a sample of 103 Pakistani large corporations listed in Karachi Stock Exchange for a period of six years from 2003 to 2008 which led to a total of 618 firm-year observations. Findings from the analyses suggested that indicators of working capital management had a very remarkable impact on profitability of firms under study.

Afridi M.I.,Iqra National University
International Journal of Bioinformatics Research and Applications | Year: 2013

The family of evolutionary or genetic algorithms is used in various fi elds of bioinformatics. Genetic algorithms (GAs) can be used for simultaneous comparison of a large pool of DNA or protein sequences. This article explains how the GA is used in combination with other methods like the progressive multiple sequence alignment strategy to get an optimal multiple sequence alignment (MSA). Optimal MSA get much importance in the fi eld of bioinformatics and some other related disciplines. Evolutionary algorithms evolve and improve their performance. In this optimisation, the initial pair-wise alignment is achieved through a progressive method and then a good objective function is used to select and align more alignments and profi les. Child and subpopulation initialisation is based upon changes in the probability of similarity or the distance matrix of the alignment population. In this genetic algorithm, optimisation of mutation, crossover and migration in the population of candidate solution reflect events of natural organic evolution. Copyright © 2013 Inderscience Enterprises Ltd.

Mehr-E-Munir,Iqra National University | Mahmood K.,Iqra National University
Proceedings of 2015 International Conference on Emerging Technologies, ICET 2015 | Year: 2015

This paper presents software based design and analysis for a ground and patch slotted microstrip patch antenna for miniaturization and multi-band applications. The Patch slots are etched to achieve multiband operation while the ground slot technique is used to achieve miniaturization. The presented design uses FR4 as dielectric substrate with permittivity of 4.1 to support the Gain, radiation efficiency and other parameters of the antenna. The design is analyzed by CST (Computer Simulation Technology) simulator software. The resulted antenna design is a highly miniaturized antenna about 60.60% operating over a range of multiple resonant frequencies and also in mobile phone as well as for S-Band and C-Band applications. © 2015 IEEE.

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