Search

The fast development of engineering technologies forces a wide range of students to choose the technological path for their careers. Universities focus on theoretical study with limited practical exposure. To ensure students are prepared for the industry requirements, engineering universities set a core industrial experience for all students. This industrial experience aims to bridge the gap between academia and industry and to ensure students have gained the required industrial. The work in this paper highlights the importance of continuous professional development (CPD) hours for engineering students. The paper studies the impact of CPD hours on the critical skills of the student learning outcomes. A descriptive analytical methodology is applied to examine this impact. Thus, a survey of 34 questions was created and distributed to students at engineering schools in different universities across the MENA and Gulf Region. A sample of 234 answers is collected and analyzed using a statistical package for the social sciences (SPSS). The results show that students agree that CPD activities can enhance their learning outcomes, teamwork skills, public speaking, and technical competencies. The results show that student believes that CPD activity may enhance their chance of securing employment within a short timeline after graduation. [ABSTRACT FROM AUTHOR]

Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network. [ABSTRACT FROM AUTHOR]

Digital transformation is the procedure that integrates recent technologies in organizations to push essential change, improve efficiency, and facilitate work for employees. This paper studies the impact of digital transformation on the operational performance of the Kirkuk Electricity Distribution Branch. Four dimensions of digital transformation will be considered: infrastructure, skills, environment, and digital technology. A descriptive analytical methodology was adopted to examine this impact. A questionnaire of 27 questions was built and distributed to the Kirkuk Electricity Distribution Branch employees. The answers from a convenience sample of 328 male and female employees were collected. These answers were examined using SPSS software and statically tools. The result shows a significant impact of the digital transformation on the operational performance of the Kirkuk Electricity Distribution Branch. [ABSTRACT FROM AUTHOR]

Employees are the leading resource of any company because they are the base of a strong and long-running organization. Their performance affects the overall evolution of the organization. Thus, modern companies have started spending an enormous amount on employee development. It is an essential process for employees and organizations. Companies have started using recent technology in employee development to make this process more productive. Artificial Intelligence is a branch of computer science. It is based on the concept of imitation the human intellectual functioning. This research studies the impact of artificial intelligence on employee development. A descriptive analytical methodology is used. Artificial Intelligence is considered an independent variable. However, the dependent variable was Employee development with three dimensions (Skills, engagement, and performance). Basrah University in Iraq was taken as a sample. Consequently, a questionnaire of 24 questions is built and distributed to Basrah University employees. The collected answers were examined using SPSS. The result shows a significant impact between Artificial Intelligence applications and employee development. [ABSTRACT FROM AUTHOR]

In the last decade, information technology tools have witnessed enormous development. Nowadays, they are used in all daily human tasks. Organizations and companies have recently started using information technology tools in all sectors. For example, the decision-making process is an essential task in all organizations. By using information technology components, companies can create a decision-making system that produces more accurate results with less time, effort, and cost. In this paper, the authors describe the role of information technology tools in the decision-making process. The impact of using information technology in the decision-making process was studied at a telecommunications company in Iraq. The authors use a descriptive-analytical method to describe this impact. They adopt a questionnaire to collect information and answer it. The analysis of the answers is done using SPSS. The findings indicate a link between using information technology tools and making sound decisions. [ABSTRACT FROM AUTHOR]

Following the COVID epidemic, the healthcare sector faced numerous issues as telehealth became more prevalent and the necessity for a safe and efficient healthcare record system became critical. Many issues plague the healthcare industry today, including security, trust, data availability, and drug traceability. Blockchain technology is a relatively new technology that has demonstrated its effectiveness in a variety of industries, including finance, banking, bitcoin, and healthcare. This research investigates the impact of blockchain on the trustworthiness of healthcare. The authors adopt a descriptive-analytical methodology. The trustworthiness of the healthcare sector is considered a dependent variable. However, blockchain technology is considered an independent variable. Three dimensions of dependent variables were explored: integrity, confidence, and reliability. For studying this impact, a questionnaire of 25 items was created and distributed to the stakeholders in the healthcare sector in the north of Lebanon. The collected answers were analyzed using the SPSS application and statistical tools. The results verify that the use of blockchain technology has a great impact on healthcare trustworthiness with its three dimensions (integrity, confidence, and reliability). [ABSTRACT FROM AUTHOR]

A new approach to nonlinear state estimation based on belief-function theory and interval analysis is presented. This method uses belief structures composed of a finite number of axis-aligned boxes with associated masses. Such belief structures can represent partial information on model and measurement uncertainties more accurately than can the bounded-error approach alone. Focal sets are propagated in system equations using interval arithmetics and constraint-satisfaction techniques, thus generalizing pure interval analysis. This model was used to locate a land vehicle using a dynamic fusion of Global Positioning System measurements with dead reckoning sensors. The method has been shown to provide more accurate estimates of vehicle position than does the bounded-error method while retaining what is essential: providing guaranteed computations. The performances of our method were also slightly better than those of a particle filter, with comparable running time. These results suggest that our method is a viable alternative to both bounded-error and probabilistic Monte Carlo approaches for vehicle-localization applications.