Asian Journal of Engineering, Sciences & Technology
Abbreviated key title: AJEST
Published by: Iqra University
Months: March & September
Start year: 2011
Title: Numerical Modeling of the Order of Convergence of Surface Charge Density Useful in Estimating Bandwidth for Microstrip Patch Antenna Author(s): Sajid Yasin, Ikram E Khuda, Imran Nazir, and Muhammad Ghiayas Tahir
Abstract: In spite of many advantages, microstrip patch are affected by the disadvantage of low having low bandwidth. In addition to many other factors, that determine the bandwidth of these antennas, one important parameter is the shape of the patch. The idea suggested in this paper is relating the proper shape of microstrip patch antenna for higher bandwidth operations using the phenomenon of fringing on finite surface of patch and estimating its occurrence from numerical integration. For this purpose, surface charge density on metallic surfaces is taken under consideration. This is obtained by carrying out computations on a geometric sequence of cell sizes. The results are then employed on microstrip patch antenna to make conclusions about their bandwidth of operation.
Title: Band Enhanced Diamond Sierpinksi Fractal Antennas for MIMO Applications Author(s): Omar Masood Khan, Zain Ul Abedin, and Kamran Raza
Abstract: Dual element diamond Sierpinski Fractal MIMO antenna is presented with bandwidth enhanced characteristics. The antenna operates for the frequency bands of 1.8 GHz, 2.4 GHz, 3.5 GHz and 5.8 GHz for DCS, WIFI, WIMAX and WLAN applications with S11 = -10 dB matching criteria (VSWR 2:1). The two fractal elements are symmetrically placed at the adjacent sides of the substrate for overall compact size of the antenna. The proposed MIMO antenna is designed on FR4 substrate with dielectric constant of 4.4 and height of 1.6 mm. The optimization of the frequency bands of the proposed antenna on the desired operational frequencies is done by tuning the dimensions of the different slots embedded on the bottom ground plane of the substrate. The results for the s-parameters, 3D gain plots and surface currents are presented for the verification of the concept, with the gain of 2.5 dB over the whole frequency range.
Title: Design and Evaluation of a Novel Heuristic Approach for GA and PSO Hybridization Author(s): Muhammad Zubair, Jawwad Ahmad, Syed Sajjad Hussain Rizvi, and Muhammad Moinuddin
Abstract: It is a well-known fact that the performance of classical hard computing is found to be constrained in finding the optimized solution which may not be in the search space. This issue has been resolved by employing various soft computing approaches. A soft computing approach evolves new solutions from within the given search space and then finds the optimal solution based on the given objective(s) and constraint(s). Genetic algorithm (GA) and particle swam optimization (PSO) algorithm are the most employed evolutionary algorithms for solving multi-objective complex problems. Moreover, researchers have proposed three different types of their hybrid combination for extra improved performance. This paper proposes a new hybrid genetic particle swarm optimization (HGPSO) algorithm and evaluates it on a few of the standard testing functions. The evaluation results prove that the proposed hybridization is much better than the three existing hybrid approaches given in the literature.
Title: Conceptual Model to Incorporate Serious Games Mechanics in Intelligent Tutoring Systems Author(s): Hina Mukhtar, and Aarij Mahmood Hussaan
Abstract: Potential of Game Based learning is huge because people are already engaged in playing entertainment game and multiple intelligent tutors have been designed for teaching various domains and topics. The Challenge is to develop a model to overcome and to fill the gap between serious game and ITS and through which learning activities would become more organized and meaning full. This research demonstrates a conceptual model which describes how game mechanics used in serious games and can be incorporated in intelligent tutoring systems to provide more effective learning. Multiple researches conclude that intelligent tutoring systems are effective but due to boredom students donít find it interesting to engage with it for a long duration. The purpose of this model is to combine the features of serious games and learning engine of intelligent tutoring systems. A model with combineís features of both fulfils the needs of students by engaging them in game with complete duration required and to achieve the learning purpose.
Title: End-to-End Fault Tolerant Solution using Loop Avoidance Algorithm in SDN Author(s): Maheen Iqbal, Syed Waleed, M. Shahbaz Qureshi, Mansoor Ahmed Tahir, and M. Irfan Anis
Abstract: In this paper, an implementation of an end to end fault tolerant solution for Dynamic traffic recovery has been performed using a centralized controller. SDN develops programmability within a network by providing flexibility towards innovation with variant policy implementation, as vendor specific policy building restricts dynamic application building. The Minimum Spanning Tree (shortest path algorithm) has been implemented providing resolution for loop confrontation and reduction in convergence delays with faster transmission towards the destination. The algorithm not only maintains loop avoidance procedure within a recovery time of 48 to 60 ms but provides fault tolerance at a faster rate for the provision of an alternative route in case of link failure.
Title: Facial Controlled Wheelchair Using Multi-layer Perceptron in Time Frequency Domain Author(s): Jamal Ahmed, Abdul Majid, Idress Riaz, Sarah Bano, M. Anas and M. Ghazaal
Abstract: Non-invasive Electroencephalography (EEG) based Brain Computer Interfaces (BCIs) is a growing technology which provides a possibility for intuitive operation comprising a multi-degree of freedom for upper extremity prosthesis. In this paper, we investigate bio signal classification concerns. Understanding bio signals and perform any action on behalf of it is a difficult task to accomplish. This method comprises of classification, feature extraction of EEG signals and objective was to make process as simple as possible. In this trial we first collected the patterns of four different types of facial activities namely right smirk, left smirk, eye blink and neutral activity. Firstly Samples were preprocessed. Wavelet decomposition is used to extract features from signal and IEMG and MAV are used to make feature vectors. Multilayer perceptron (MLP) and Support vector machines are used for classification. Results suggest that MLP can perform classification task at high accuracy. Our proposed model facilitates patient who are suffering from severe muscle injury and disability. They can freely move around by means of facial muscles regardless of any assistance.
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