Antecedents of “Quality of Work” in Islamic Perspective Through Mediating Effect of Perceived Job Performance

In most of service organizations particularly in Pakistan financial sector, employees have reduced their job performance and shortened quality of work due to many factors influencing them at workplace. This research study aims to explore such antecedents in view of Islam that can improve the quality of work in banking sector wherein mediating effect of perceived job performance has been tested. Model variables of this study have also been described in the Islamic perspective. Islam is complete religion in all respect and provides foundation for quality of work. Accuracy & beatification in work, discipline, sequence of tasks, impartiality, and Islamic job satisfaction, knowing ourselves and its link with knowing to our God are parts of quality of work and employees’ performance in the Islamic point of view.  The target population of this study covers 20,514 employees of banking sector working in capital cities of Pakistan. Data were collected via cross sectional approach from 380 desk and frontline officials of Public and private banks. Confirmatory factor analysis and structural equation modeling techniques were used for data analysis. Findings of this research are demonstrated that job satisfaction and emotional intelligence are found the valuable antecedents of job performance and quality of work where employee’s job performance has been proved as a partial mediator between antecedents and quality of work. The two antecedents i.e. Job satisfaction, emotional intelligence of perceived job performance and quality of work have been supposed in this study to take as interpreters for the improvement of employees’ contentment and abilities in the working environment of banking sector. These are positively persuaded to job performance and quality of work. A practical exposure is offered by this research that organizational education about importance to employee’s satisfaction and emotional intelligence would be vital for achieving optimum results in this industry.

Performance Analysis of Spectrum Sensing Methodologies for Cognitive Radios

The Radio Spectrum is used to transmit electromagnetic waves of different frequencies. With the passage of time people are getting aware of new technologies and as a result demand for different services has been increased. This results in the shortage of available spectrum. Spectrum utilization has now become a challenging task due to increase in wireless communications. Major licensed bands, such as those allocated for television broadcasting is not been fully utilized which results in spectrum wastage. This led to the idea of cognitive radio, first presented officially by Mitola and Maguire in 1999. Cognitive radio is a software-defined radio system, or SDR, a radio whose functionality is completely defined in software. Changes in SDR can be made by just changing the software. Mitola and Maguire proposed that the unused spectrum can be utilized by Secondary users (Unlicensed users) without creating harmful interference to Primary users (Licensed users). Secondary user can use the spectrum when primary user is inactive and should vacate the channel as soon as the primary user becomes active. An Efficient Signal Detection algorithm can perform this task. Detection of primary user signal is an elementary problem in cognitive radio. Energy detection, Match-filtering and Cyclostationary methods are widely used for spectrum sensing. This thesis will explore spectrum sensing methods and will analyze the performance of different techniques including methods based on the eigenvalue of the covariance matrix of received signals used as the test statistic. Different methods working with and without noise power will be simulated to demonstrate the performance of spectrum sensing techniques.