Electronic monitoring tools provide managers with the ability to continuously evaluate and measure their employee's performance. The employee's productivity will be increased and his work will be more accurate. This study has examined the effects of electronic monitoring on the employee's point of view. We have assume that the employee will be more productive when he is electronically monitored. On the other hand, the manager will be able to control the employee's performance efficiently and will be more satisfied by the employee's works. We have conducted a survey that led us to believe that employee's work will be improved when he is electronically monitored. Our results suggest that electronic monitoring has been accepted by many employees as a technology tools that help in improving the employee's behavior.

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Quick sort is a sorting algorithm whose worst case running time is (n 2 ) on an input array of n numbers. It is the best practical for sorting because it has the advantage of sorting in place. Problem statement: Behavior of quick sort is complex, we proposed in-place 2m threads parallel heap sort algorithm which had advantage in sorting in place and had better performance than classical sequential quick sort in running time. Approach: The algorithm consisted of several stages, in first stage; it splits input data into two partitions, next stages it did the same partitioning for prior stage which had been spitted until 2 m partitions was reached equal to the number of available processors, finally it used heap sort to sort respectively ordered of non internally sorted partitions in parallel. Results: Results showed the speed of algorithm about double speed of classical Quick sort for a large input size. The number of comparisons needed was reduced significantly. Conclusion: In this study we had been proposed a sorting algorithm that uses less number of comparisons with respect to original quick sort that in turn requires less running time to sort the same input data.

Abstract:The main goal of parallel processing is to reduce the complexity of finding a solution for a problem. In this study, we consider the problem of searching for multiple items at the same time in a large database. We propose a parallel search algorithm that reduces the searching time in comparison to binary search algorithm saving in that the time needed for sorting. Our algorithm works well for any data that can be represented in binary and it converts the searching of two items to search for a composed key that is the AND-combination of the two searched items. DPSA our proposed algorithm outperforms Binary search algorithm in searching for two items at the same time where the binary search will search them sequentially. The running time of our algorithm in the worst case is O(n) for searching two items in a data input of size n.

Due to the COVID-19 epidemic pandemic, the Internet invades our life aspects and activities, the way we work or shop has changed, the educational system has changed, and the social structure and many other things in our lives have changed. In this research work, we analyze three hypotheses regarding electronic monitoring during the COVID-19 pandemic. The first hypothesis is the relationship between Electronic Monitoring and safety, the second is the relationship between Electronic Monitoring and privacy, and the third is related to acceptance of electronic monitoring in the workplace. For that, we have surveyed the COVID-19 pandemic to measure the effects of new technologies-in particular-electronic monitoring on productivity, creativity, and the effect of social networks in increasing the acceptance of electronic monitoring in the workplace. Our results show that the attitudes toward electronic monitoring have not changed over the years and a higher percentage of employees who were polled do not accept being monitored at the workplace, which means the introduction of new technologies in our life has not changed the opinion of people about electronic monitoring.