Mohammad Ali Jinnah University , is a private university primarily located in Karachi, Sindh, Pakistan. The university also operates an additional campus in Islamabad.Established in 1998, the university offers undergraduate, post-graduate and doctoral studies programmes, with a strong emphasis on business management, applied science, engineering, and computer science. It is one of the top institution of higher learning in the country, and is listed in the top ten universities for "general category" by the HEC, as of 2013. In addition, the university is also a member of the Association of Commonwealth Universities of the United Kingdom. Wikipedia.
Rafique A.F.,Mohammad Ali Jinnah University
AIP Conference Proceedings | Year: 2012
As system design is becoming more and more multifaceted, integrated, and complex, the traditional single objective optimization trends of optimal design are becoming less and less efficient and effective. Single objective optimization methods present a unique optimal solution whereas multiobjective methods present pareto front. The foremost intent is to predict a reasonable distributed pareto-optimal solution set independent of the problem instance through multiobjective scheme. Other objective of application of intended approach is to improve the worthiness of outputs of the complex engineering system design process at the conceptual design phase. The process is automated in order to provide the system designer with the leverage of the possibility of studying and analyzing a large multiple of possible solutions in a short time. This article presents Multiobjective Hyper Heuristic Optimization Scheme based on low level meta-heuristics developed for the application in engineering system design. Herein, we present a stochastic function to manage meta-heuristics (low-level) to augment surety of global optimum solution. Generic Algorithm, Simulated Annealing and Swarm Intelligence are used as low-level meta-heuristics in this study. Performance of the proposed scheme is investigated through a comprehensive empirical analysis yielding acceptable results. One of the primary motives for performing multiobjective optimization is that the current engineering systems require simultaneous optimization of conflicting and multiple. Random decision making makes the implementation of this scheme attractive and easy. Injecting feasible solutions significantly alters the search direction and also adds diversity of population resulting in accomplishment of pre-defined goals set in the proposed scheme. © 2012 American Institute of Physics.
Ramzan M.,Majmaah University |
Yousaf F.,Mohammad Ali Jinnah University
AIP Advances | Year: 2015
This paper deals with steady three dimensional boundary layer flow of an incompressible viscoelastic nanofluid flow in the presence of Newtonian heating. An appropriate transformation is employed to convert the highly non linear partial differential equations into ordinary differential equations. Homotopy Analysis method (HAM) is used to find series solution of the obtained coupled highly non linear differential equations. The convergence of HAM solutions is discussed via h-curves. Graphical illustrations displaying the influence of emerging parameters on velocity, temperature and concentration profiles are given. It is observed that γ the conjugate parameter for Newtonian heating show increasing behavior on both temperature and concentration profiles. However, the temperature and concentration profiles are increasing and decreasing functions of Brownian motion parameter Nb respectively. © 2015 Author(s).
Ahmed M.,Mohammad Ali Jinnah University
Proceedings of the Institution of Civil Engineers: Structures and Buildings | Year: 2016
High-rise reinforced-concrete core wall buildings are a very popular choice in areas of high seismic activity. Conventionally, a single plastic hinge is allowed at the base of the wall to control responses in these buildings. Recent studies, however, show that these core walls will be subjected to large inelastic seismic demands in a seismic event. It is not economical and sometimes difficult to design these walls for large shear and moment demands. To reduce these demands, a multiple plastic hinges concept is proposed in this study. Locations of the multiple plastic hinges are identified using elastic modal decomposition analysis. A 40-storey case study building is investigated in detail to check the effectiveness of the proposed approach. The seismic demands are found using non-linear response history analysis at maximum considered earthquake level. A comparison of the multiple plastic hinges approach with the single plastic hinge approach shows that seismic shear demand reduces 17% at the base of the wall, whereas moment demand reduces 33 and 60% at the base and mid-height of the wall, respectively. © 2016, Thomas Telford Services Ltd. All rights reserved.
Khan H.N.,Mohammad Ali Jinnah University |
Kulsoom S.,Quaid-i-Azam University |
Rashid H.,Mohammad Ali Jinnah University
Epilepsy Research | Year: 2012
Epilepsy is a common neurological disorder throughout the world which is characterized by recurrent unprovoked epileptic seizures. A need exists for the development of new antiseizure drugs with improved efficacy and tolerability, as several of the currently available antiepileptic drugs (AEDs) have been associated with severe side effects. A ligand based pharmacophore approach has been generated for 44 new antiepileptic compounds with emphasis on the development of new drugs by using LigandScout software and distance estimation using Jmol. The pharmacophore of the compounds contained three features hydrophobic unit, hydrogen bonding domain and electron donor. The pharmacophore models derived were then filtered using the Lipinski's rule of five criteria and orally bio-available compounds were obtained. Thus, this approach was able to reclaim few leads which had projected inhibitory activity alike to most active compounds with suitable calculated drug-like properties and therefore they could be recommended for further studies. © 2011 Elsevier B.V.
Bashir S.,Mohammad Ali Jinnah University
Sahara J | Year: 2011
People living with HIV/AIDS (PLHA) are stigmatised socially. They are devalued and considered like outcasts by having lesser opportunities for education, treatment and housing, and in an organisational context they get reduced opportunities of selection, promotion and income. The phenomena have been extensively researched in developed countries but limited literature addresses the situation in underdeveloped countries like Pakistan, which is also facing spread of the HIV/AIDS epidemic. There are a number of groups who are carrying the disease but the problems being faced by PLHA employed in different organisations have rarely been analysed. Stigma at the workplace can generate a number of negative outcomes. The present study considers two such outcomes among stigmatised PLHA. These outcomes are organisational cynicism and breach of psychological contract. A questionnaire was used to collect data from a sample of 174 PLHA, having a work experience after identification of the epidemic, working in different organisations across Pakistan. These PLHA were identified and recruited through a scattered record available with some government/non-government organisations operating in Pakistan to control HIV/AIDS. Findings of the study extend the knowledge about HIV/AIDS stigma indicating that PLHA are subjected to stigma, which is significantly associated with a breach of psychological contract and organisational cynicism. There is a need at governmental and organisational level as well to increase awareness about the disease and formulate policies to reduce stigma against PLHA working in different organisations.
Ahmed Q.,Mohammad Ali Jinnah University |
Bhatti A.I.,Mohammad Ali Jinnah University
IEEE Transactions on Industrial Electronics | Year: 2011
Identification and estimation of immeasurable critical parameters/ efficiencies of automotive engine provide significant information to monitor its functions and health. This paper proposes a novel estimation scheme for identifying such parameters. Four of the critical parameters discussed are frictional torque, combustion efficiency, volumetric efficiency, and throttle discharge coefficient. These parameters are estimated from a two-state nonlinear inlet manifold pressure and rotational speed dynamics-based engine model. The estimation scheme utilizes a second-order sliding mode observer based on a super twisting algorithm. The estimation is carried out on a production vehicle equipped with an engine control unit compliant to On-Board Diagnostics II standards. The proposed observers are simple enough for implementation. The estimated parameters have vast application in the area of engine modeling, controller design, and fault diagnosis/prognosis. © 2011 IEEE.
Raja M.A.Z.,COMSATS Institute of Information Technology |
Samar R.,Mohammad Ali Jinnah University
Computers and Fluids | Year: 2014
In this paper a new stochastic technique for solving the nonlinear Jeffery-Hamel flow equations is presented, taking into consideration the magnetohydrodynamics (MHD) effects. A feed-forward artificial neural network (ANN) trained with particle swarm optimization (PSO) and the active-set method (ASM) is used for solving the problem. We first transform the original two-dimensional MHD Jeffery-Hamel problem into an equivalent third order boundary value problem (BVP). A mathematical model of the BVP is developed using a neural network formulation in an unsupervised manner. Optimal weights of the networks are learned with the PSO algorithm first, which is used as a tool for global search; the active-set method is employed for rapid local convergence in the second step. The designed scheme is evaluated on different cases of the problem by varying the angles of the walls, and the Reynolds and Hartmann numbers. Accuracy, convergence and effectiveness of the approach is established through extensive analyses based on a large number of independent runs. Comparative studies are carried out with numerical results of fully explicit Runge-Kutta method, as well as recently reported analytic solvers including variants of Adomian decomposition, Homotopy Perturbation, differential transform, Homotopy analysis and variational iteration methods to validate the correctness of the proposed scheme. © 2013 Elsevier Ltd.
Raja M.A.Z.,COMSATS Institute of Information Technology |
Samar R.,Mohammad Ali Jinnah University
Neurocomputing | Year: 2014
In this paper new computational intelligence techniques have been developed for the nonlinear magnetohydrodynamics (MHD) Jeffery-Hamel flow problem using three different feed-forward artificial neural networks trained with an interior point method. The governing equation for the two-dimensional MHD Jeffery-Hamel flow problem is transformed into an equivalent third order nonlinear ordinary differential equation. Three neural network models using log-sigmoid, radial basis and tan-sigmoid activation functions are developed for the transformed equation in an unsupervised manner. The training of weights of each neural network is carried out with an interior point method. The proposed models are evaluated on different variants of the Jeffery-Hamel problem by varying the Reynolds number, angles of the walls and the Hartmann number. The accuracy, convergence and effectiveness of the designed models are validated through statistical analyses based on a sufficiently large number of independent runs. Comparative studies of the proposed solutions with standard numerical results, as well as recently reported solutions of analytic solvers illustrate the worth of the proposed solvers. © 2013 Elsevier B.V.
Gillani S.A.,Mohammad Ali Jinnah University |
Ko A.,Corvinno Technology Transfer Center Ltd.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2014
Processes in public administration are complex and changing fast, according to the changes in the regulatory environment. Public servants have to face with the challenge of getting a job role specific knowledge, which is embedded into the processes or available in other unstructured sources, like in public policies. Even though much of government regulations may now available in digital form, due to their complexity and diversity, identifying the ones relevant to a particular context is a non-trivial task. Our paper will discuss a text mining solution to extract, organize and preserve knowledge embedded in organizational processes to enrich the organizational knowledge base in a systematic and controlled way, support employees to easily acquire their job role specific knowledge. The solution has been tested for the case of an agricultural service at public authority. The context of the case is sampling in controlling food safety and quality. © 2014 Springer International Publishing.
Ali M.,Mohammad Ali Jinnah University
Construction and Building Materials | Year: 2014
Three different reinforcement patterns of coconut-fibre ropes in columns are investigated in this experimental study. Coconut-fibre-reinforced-concrete is used to cast columns. This new material is under investigation for the production of low cost but safe housing in earthquake prone regions. Overall ductile behaviour of structure is a basic requirement; therefore coconut fibres are selected because of their highest toughness amongst all natural fibres. Incremental ground motion excitations are applied to the columns using a shake table. The excitations are time-scaled to produce damage in columns. This is to match the frequency of excitation with that of structure. The dynamic properties of coconut fibre and rope reinforced concrete columns are determined by an impact test after each excitation. A change in natural frequency is observed, showing that there is some non-visible material degradation in the specimen before cracking. Out of three patterns, column with multiple central ropes performed well showing rocking phenomenon. © 2014 Elsevier Ltd. All rights reserved.