كتابة النص: الأستاذ الدكتور يوسف أبو العدوس - جامعة جرش قراءة النص: الدكتور أحمد أبو دلو - جامعة اليرموك مونتاج وإخراج : الدكتور محمد أبوشقير، حمزة الناطور، علي ميّاس تصوير : الأستاذ أحمد الصمادي الإشراف العام: الأستاذ الدكتور يوسف أبو العدوس
فيديو بمناسبة الإسراء والمعراج - إحتفال كلية الشريعة بجامعة جرش 2019 - 1440
فيديو بمناسبة ذكرى المولد النبوي الشريف- مونتاج وإخراج الدكتور محمد أبوشقير- كلية تكنولوجيا المعلومات
التميز في مجالات التعليم والبحث العلمي، وخدمة المجتمع، والارتقاء لمصاف الجامعات المرموقة محليا واقليميا وعالميا.
المساهمة في بناء مجتمع المعرفة وتطوره من خلال إيجاد بيئة جامعية، وشراكة مجتمعية محفزة للابداع، وحرية الفكر والتعبير، ومواكبة التطورات التقنية في مجال التعليم، ومن ثم رفد المجتمع بما يحتاجه من موارد بشرية مؤهلة وملائمة لاحتياجات سوق العمل.
تلتزم الجامعة بترسيخ القيم الجوهرية التالية: الإلتزام الإجتماعي والأخلاقي، الإنتماء،العدالة والمساواة، الإبداع، الجودة والتميّز، الشفافية والمحاسبة، الحرية المنظبطة والمستقبلية.
Regard
Prof.Dr. Takialddin Al Smadi ,Member IEEE
Faculty of Engineering/Master of Engineering Management department , Jerash University, Jordan,P.O Box : 311 - Post Code : 26150 Jerash
https://www.researchgate.net/profile/Prof_Takialddin_Al_Smadi
https://www.scopus.com/authid/detail.uri?authorId=58769813700
https://www.webofscience.com/wos/author/record/W-1977-2017
https://orcid.org/my-orcid?orcid=0000-0002-1322-9707
ResearcherID: W-1977-2017
Editor-in-Chief JASET) J. Adv. Sci. Eng. Tech
https://www.jasetj.com/index.php/jaset
Editor-in-Chief
International journal of Electrical and Electronics Research (IJEER) Scopus
https://ijeer.forexjournal.co.in
Chief Editorial Advisor
Tikrit Journal of Engineering Sciences, (Tikrit j. Eng. sci.) (TJES)Scopus
https://tj-es.com/
Full-Professor Electrical and Control Engineering received the B.Sc. degree in electronics/microelectronics from Moscow Power Engineering Institute (Technical University), Russia, in 1999, and the M.Sc. degree in atomization electrical engineering from Kazan State Technological University, Russia, in 2000. He graduated from Kazan State Technological University with the PhD degree in Electrical and Control Engineering. He is currently a professor in the Faculty of Engineering, Jerash University, Jordan. His research interests include fault control systems engineering, neural networks, cognitive and renewable energy systems, and their applications in electrical engineering. He is IEEE member with many
publications in high-ranking journals and conferences.
Head of Computer Science Department, Jerash University 2007-
Organizing Committee Member of The IEEE Conferences
(JASET) J. Adv. Sci. Eng. Technol.
http://jaset.isnra.org/
Editor Tikrit Journal of Engineering Sciences, (Tikrit j. Eng. sci.) (TJES)Scopus
This paper introduces a fault location method for transmission lines, utilizing an artificial neural network (ANN) technique to analyze voltage and current data from both terminals. The method specifically targets line-to-line, double-line-to-ground, and single line-to-ground faults that cause system downtime. The study focuses on applying ANN as an intelligent tool depending on binary NN (BNN) for diagnosing faults in electrical power facilities. The selection of ANN is based on its good performance in pattern recognition, classification, matching, prediction, decision-making, and control and optimized with genetic algorithm (GA). Different modeling validation algorithms for the proposed system, such as ARX, transfer function, and state space model, are used. The fit to estimation data and it's also the prediction of the accuracy are 70.39 %, 98.18 %, and 99.84 % according to the identification toolbox of the Matlab 2020 respectively. Also, the results of the ANN algorithm, such as fault location, status, and time, are compared to the real corresponding terms in the electrical system of Samarra city in Iraq. The difference between the experimental cases inside the Samarra power station and ANN is 0.1 %. The future development of the Samarra thermal power station which may powered by solar panels is also introduced or using the Internet of Things (IOT) in the next step to control the systems equipment's.
The modern power grid faces rapid growth in load demand due to industrialization, leading to an unregulated environment and increasing adoption of renewable energy sources, which presents technical challenges, particularly in terms of stability. Hydrogen conversion technology revolutionizes clean electricity storage with renewable energy, and solar hydrogen is now available in autonomous solar systems. The efficiency of solar photovoltaic systems is closely related to using digital electronic maximum peak power tracking (MPPT) technology. The Internet of Things (IoT) is crucial for performance monitoring and real-time control of PV systems, enhancing the understanding of real-time operating parameters. IoT and wireless sensor networks for distributed solar energy devices and joint building design are essential for developing the photovoltaic construction industry. In this paper, the monitoring system that has been proposed offers a potentially effective solution for the intelligent remote and real-time monitoring of solar photovoltaic (PV) systems. It demonstrated a high level of accuracy, reaching 98.49%, and can transmit graphical representations to a smartphone application within a time frame of 52.34 seconds. Consequently, the battery's longevity was extended, energy consumption was diminished, and the quality of service (QoS) for real-time applications inside the Internet of Things (IoT) was enhanced.
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The need for a greater supply of energy from sustainable sources is growing because of increasing energy prices, concerns about nuclear power, climate change, and power grid disruptions. This research offers a method for the balance of power management of a combination of multi-source DC and AC supplier systems that enables sources of clean energy based on an independent grid to function economically and with the highest levels of system predictability and stability possible. The DC microgrid's hybrid generation source consists of a diesel power source, wind, photovoltaic (PV) power, and a battery bank. The en4ergy system can fulfill the load demand for electricity at any moment by connecting various renewable sources. It can function both off and on the grid. The microgrid may occasionally not be able to provide sufficient electricity, while every green energy source's electricity contribution is based on how its supply varies and how much power is needed to meet demand. As a result, a diesel generator is required as additional backup power, particularly while operating off-grid. This paper designs and implements an MPPT technique for a PV system based on the GWO algorithm. By creating PWM pulses in response to variations in the PV panel voltage, this method modifies the converter's duty cycle, while wind turbines using MPPT based on P&O, to get the most out of hybrid energy sources that are renewable while simultaneously enhancing the quality of power. The priority sources of electricity for the grid are photovoltaics and wind power. Based on the results of simulations and experiments, the proposed control method for DC, which uses the MPPT approach, can dynamically switch between all of the system's various modes of operation, independent of the battery's condition or environment, ensuring safe operation and constant bus voltage. An analysis was conducted on the suggested system's performance. It has been noted that compared to the conventional approaches, the suggested GWO-based MPPT methodology is quicker and produces fewer MPP oscillations. It offers a more effective reaction to quickly shifting atmospheric conditions. Results of simulation for the recommended control scheme with MATLAB/Simulink.
Engineers are searching for alternatives to conventional sources of electricity to solve the energy crisis as a result of the sharp increase in energy usage. The design, simulations, and investigation of a three-phase, 10.44 kW solar energy system are presented in this study. PV analysis is also done. The photovoltaic system consists of six concurrent strings, each consisting of four photovoltaic cells connected in series, and an inverter that provides a two-way flow of energy. The output of a Phase Lock Loop (PLL) comments linearization system is utilized for generating a signal, and the power converting voltage is synchronized with the signal using this reference voltage. Two stages that are most appropriate for the battery's rechargeable charging process are chosen to replenish a battery bank in either quantity or float arrangement for eight sequences of 12.5 V and 200 Ah rechargeable battery packs. The designed photovoltaic (PV) system falls under the category of hybrid systems. Not to mention, a MATLAB computer model has been developed for a grid-dependent solar PV system that makes use of a sinusoidal pulse width modulator and a voltage source inverter.
This paper presents a novel technique to address the challenge of coordinating swarm flying robots in a leader-follower configuration. A combination of the Multi Signal Classification (MUSIC) estimation algorithm, based on a wireless MIMO array antenna, along with onboard robot control are used for precise route tracking of an individual robot. Employing an array antenna reduces energy consumption for followers in passive mode and reduces computational complexity when measuring the angles of leader angle interferences, which depends on the phase difference of the impinging signal on the antenna elements of the array. Additionally, the angles estimation and beamforming processes, utilizing MUSIC algorithm, form an inner loop that furnishes orientation angles in 3D (Azimuth and elevation angles) for both the leader and potential interference sources. The outer loop, contingent on the onboard controller …
RFID plays a vital role in data communication in multidimensional WSNs as it collects vast amounts of redundant data. The physical phenomena constitute the correlated observations in the space domain and generate spatial correlation. Periodic observations of sensor nodes result in a temporal correlation in the data. Reducing these spatio-temporal correlations in RFID surveillance data is necessary for the smooth functioning of the network. This paper proposes a Voronoi diagram-based spatio-temporal data redundancy elimination approach for RFID systems having multiple readers so only one reader will read every RFID tag depending on the distance between the tag and the center of the Minimum Enclosing Circle of the Voronoi cell to which the reader belongs. This approach eliminates spatial redundancy in the gathered data. Reading the RFID tags at regular time intervals larger than a chosen threshold value minimized temporal redundancy. In contrast to existing methods, the proposed technique is free from any false positive and false negative errors, with no loss of data and every tag being read by only one reader. Simulation of the proposed approach also established its superiority to the existing techniques in terms of these performance parameters.
Renewable energy systems, such as photovoltaic (PV) systems, have become increasingly significant in response to the pressing concerns of climate change and the imperative to mitigate carbon emissions. When static converters are used in solar power systems, they change the current, which uses reactive energy. A proportional-integral controller regulates active and reactive powers, whereas energy storage batteries enhance energy quality by storing current and voltage as they directly affect steady-state error. The utilization of artificial intelligence (AI) is crucial for improving the energy generation of PV systems under various climatic circumstances, as conventional controllers do not effectively optimize the energy output of solar systems. Nevertheless, the performance of PV systems can be influenced by fluctuations in meteorological conditions. This study presents a novel approach for integrating solar PV systems with high input performance through adaptive neuro-fuzzy inference systems (ANFIS). A fuzzy neural inference-based controller regarding energy generation and consumption aspects was designed and examined. This study examines the importance of artificial intelligence in facilitating continuous power supply to clients using a battery system, hence emphasizing its significance in energy management. Moreover, the findings demonstrated promising outcomes in energy regulation and management.
Jordan has significant renewable energy potential due to its remarkable geographical location and climate conditions. This potential elevates engaging several innovative renewable alternatives in energy development, which may efficiently minimize the excessive import of traditional energy sources. The objective of this research is to study the potential of utilizing clean and affordable solar energy along roadways such as Jordan’s Desert Highway-15 to be in line with the United Nations Sustainable Development Goals (UN-SDG’s) by installing selected solar panels that possess adequate friction and the ability to allow solar radiation to reach the solar cells, in addition to allowing the load to be bypassed around the cells. The shoulder of the highway, with a length of 315 km and a width of 3.0 meters, has been exploited in order to supply the neighboring areas with energy for those roads, particularly those paved roads, which are poorly lit at night. Furthermore, this study provides direction and guidance concerning the structural performance of non-traditional pavement materials, which are a form of subgrade or pavement reinforcement. The performance of a prototype board on a variety of structural bases has also been evaluated. Overall, this paper found that it is possible to design a solar road panel to withstand traffic loading and that the concrete structural base allows for a significant improvement of the analyzed prototype design, especially in countries with limited energy sources and dependent on imports such as Jordan.
This collection covers different printed microstrip antenna designs, from rectangular to circular, broadband, dual-band, and millimeter-wave microstrip antennas to microstrip arrays. It further presents a new analysis of the rectangular and circular microstrip antenna efficiency and surface wave phenomena. The book Covers the latest advances and applications of microstrip antennas Discusses methods and techniques used for the enhancement of the performance parameters of the microstrip antenna Presents low-power wide area network (LPWAN) proximity-coupled antenna for Internet of Things applications. Highlights a new analysis of rectangular and circular microstrip antenna efficiency and surface wave phenomena. Showcases implantable antennas, H-shaped antennas, and wideband implantable antennas for biomedical applications Printed Antennas discusses the latest advances such as the Internet of Things for antenna applications, device-to-device communication, satellite communication, and wearable textile antenna in the field of communication. It further presents methods and techniques used for the enhancement of the performance parameters of the microstrip antenna and covers the design of conformal and miniaturized antenna structures for various applications. It will serve as an ideal reference text for senior undergraduates, graduate students, and researchers in fields including electrical engineering, electronics and communications engineering, and computer engineering.
All Rights Reseved © 2025 - Developed by: Prof. Mohammed M. Abu Shquier Editor: Ali Zreqat
