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Enhancing Renewable Energy Integration:A Gaussian-Bare-Bones Levy Cheetah Optimization Approach to Optimal Power Flow in Electrical Networks

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Computer Modeling in Engineering & Sciences 2024年第8期140卷 1339-1370页

作者： Ali S.Alghamdi mohamed a.zohdy Saad Aldoihi Department of Electrical Engineering College of EngineeringMajmaah UniversityAl-Majmaah11952Saudi Arabia Electrical and Computer Engineering Department Oakland UniversityRochesterMI48309USA Institute of Earth and Space Science King Abdulaziz City for Science and Technology(KACST)Riyadh11442Saudi Arabia Computer Science and Systems Engineering Institute Polytechnique de ParisPalaiseau CedexFrance

In the contemporary era,the global expansion of electrical grids is propelled by various renewable energy sources(RESs).Efficient integration of stochastic RESs and optimal power flow(OPF)management are critical for network *** study introduces an innovative solution,the Gaussian Bare-Bones Levy Cheetah Optimizer(GBBLCO),addressing OPF challenges in power generation systems with stochastic *** primary objective is to minimize the total operating costs of RESs,considering four functions:overall operating costs,voltage deviation management,emissions reduction,voltage stability index(VSI)and power loss ***,a carbon tax is included in the objective function to reduce carbon *** scrutiny,using modified IEEE 30-bus and IEEE 118-bus systems,validates GBBLCO’s superior performance in achieving optimal *** results demonstrate GBBLCO’s efficacy in six optimization scenarios:total cost with valve point effects,total cost with emission and carbon tax,total cost with prohibited operating zones,active power loss optimization,voltage deviation optimization and enhancing voltage stability index(VSI).GBBLCO outperforms conventional techniques in each scenario,showcasing rapid convergence and superior solution ***,GBBLCO navigates complexities introduced by valve point effects,adapts to environmental constraints,optimizes costs while considering prohibited operating zones,minimizes active power losses,and optimizes voltage deviation by enhancing the voltage stability index(VSI)*** research significantly contributes to advancing OPF,emphasizing GBBLCO’s improved global search capabilities and ability to address challenges related to local *** emerges as a versatile and robust optimization tool for diverse challenges in power systems,offering a promising solution for the evolving needs of renewable energy-integrated power grids.

关键词： Renewable energy integration optimal power flow stochastic renewable energy sources gaussian-bare-bones levy cheetah optimizer electrical network optimization carbon tax optimization

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Edge Impulse Based ML-Tensor Flow Method for Precise Prediction of Remaining Useful Life (RUL) of EV Batteries

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Journal of Power and Energy Engineering 2024年第6期12卷 1-15页

作者： Tarik Hawsawi mohamed zohdy Department of Electrical and Computer Engineering Oakland University Rochester USA Department of Electronic Technology Technical Vocational Training Corporation Dammam KSA

Electric Vehicle (EV) adoption is rapidly increasing, necessitating efficient and precise methods for predicting EV charging requirements. The early and precise prediction of the battery discharging status is helpful to avoid the complete discharging of the battery. The complete discharge of the battery degrades its lifetime and requires a longer charging duration. In the present work, a novel approach leverages the Edge Impulse platform for live prediction of the battery status and early alert signal to avoid complete discharging. The proposed method predicts the actual remaining useful life of batteries. A powerful edge computing platform utilizes Tensor Flow-based machine learning models to predict EV charging needs accurately. The proposed method improves the overall lifetime of the battery by the efficient utilization and precise prediction of the battery status. The EON-Tuner and DSP processing blocks are used for efficient results. The performance of the proposed method is analyzed in terms of accuracy, mean square error and other performance parameters.

关键词： Electric Vehicle EV Charging Machine Learning Lifetime Edge Computing

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Semen parameters in men with spinal cord injury： changes and aetiology

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Asian Journal of Andrology 2007年第5期9卷 684-689页

作者： mohamed N. Momen Ibrahim Fahmy Medhat Amer Mohamad Arafa Wael zohdy Taha A. Naser Andrology Department Cairo University Cairo Egypt Adam International Clinic Giza 12411 Egypt

Aim： To assess the changes in semen parameters in men with spinal cord injury （SCI） and the possible causes of these changes. Methods： The study included 45 subjects with SCI. Semen retrieval was done by masturbation （2）, vigorous prostatic massage （n = 13）, penile vibratory stimulation （n = 13） or electroejaculation （n = 17）. Results： The semen of men with SCI showed normal volume （2.3 ± 1.9 mL） and sperm count （85.0 × 10^6 ± 83.8 × 10^6/mE） with decreased motility （11.6% ± 10.1%）, vitality （18.5 % ± 15.2%） and normal forms （17.5 ± 13.4%）, and pus cells has been increased （6.0 × 10^6 ± 8.2 × 10^6/mL）. Total （13.4 ± 9.9 vs. 7.1 ± 6.8） and progressive （4.4 ± 3.9 vs. 2.2 ± 2.1） motility were significantly higher in subjects with lower scrotal temperatures. There was no statistical significant difference between electroejaculation and penile vibratory stimulation groups as regards any of the semen parameters. Subjects＇ age, infrequent ejaculation, injury duration and hormonal profile showed no significant effect on semen parameters. Conclusion： The defining characteristics of the seminogram in men with SCI are normal volume and count with decreased sperm motility, vitality and normal forms, and the increased number of pus cells. The most acceptable cause of the deterioration of semen is elevated scrotal temperature.

关键词： electroejaculation infertility penile vibratory stimulation prostatic massage semen spinal cord injury

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Low Complexity Dynamic Channel Equalization in OFDM with High Frequency Mobile Network Technologies

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Journal of Signal and Information Processing 2017年第2期8卷 17-41页

作者： Redhwan Mawari mohamed zohdy Department of Electrical and Computer Engineering Oakland University Rocheser MI USA

We present in this paper a method for enhancing equalization of a dynamic channel. A dynamic channel is characterized and modeled by a high relative velocity between transmitter and receiver and fast changes of environment conditions for wave propagation. Based on Jakes model, an auto-regressive model (AR) [1] for such a dynamic system, i.e., a time variant channel is developed. More specifically, the enhanced equalization method we are proposing is a combination of a multi-stage time and frequency domain equalizer with a feed-forward loop. The underlined wok presents a unified approach to the equalization method that employs both time and frequency domains data to enhance the equalization scheme. In an OFDM system, the channel coefficients for each tap, in time domain for consecutive blocks, are partially independent thus correlated. Such correlation can improve the channel estimation if it is taken into account. The method in this paper enhances the performance of equalization by dynamically selecting the number of previous OFDM symbols based on the Doppler frequency. In order to decrease the complexity of the system model, we utilize the autocorrelation and Doppler frequency to dynamically select the previous OFDM symbols that will be stored in the memory. In addition to deriving earlier results in a unified manner, the approach presented also leads to enhanced performance results without imposing any restrictions or limitations on the OFDM system such as increasing the number of pilots or cyclic prefix.

关键词： Equalization Kalman Auto-Regressive OFDM Jakes Model

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ZigBee Signal Phase Tracking Using a Discrete Kalman Filter Estimator under AWGN Channel

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Journal of Computer and Communications 2019年第1期7卷 10-17页

作者： Ali Alqahtani mohamed zohdy Electrical and Computer Engineering Department Oakland University Rochester USA

The objective of this research is to track the phase changes in Binary Phase Shift Keying (BPSK) modulated signal in ZigBee communication systems using discrete Kalman Filter (KF). Therefore, Kalman Filtering is used to estimate and optimize the carrier phase of BPSK modulated signal, in the presence of Additive White Gaussian Noise (AWGN) channel, by minimizing the phase deviation error. Therefore, a simulation model, using MATLAB, will be created to demonstrate ZigBee transmission system with the impact of the integrated filter. The expected results will show that Kalman Filter tracks the phase of BPSK modulated signal correctly and the performance of tracking will be measured by Mean Square Error (MSE) with respect to Signal to Noise Ratio (SNR). This study proposes a new method of phase tracking in ZigBee receivers in the presence of AWGN channel which can be extended to Internet of Things (IoT) applications.

关键词： ZigBee Binary Phase Shift Keying (BPSK) Discrete Kalman Filter AWGN Channel

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Localizing Jammer in an Indoor Environment by Estimating Signal Strength and Kalman Filter

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Wireless Engineering and Technology 2018年第2期9卷 20-33页

作者： Waleed Aldosari mohamed zohdy School of Engineering and Computer Science Oakland University Rochester Hills USA

Localizing a jammer in an indoor environment in wireless sensor networks becomes a significant research problem due to the ease of blocking the communication between legitimate nodes. An adversary may emit radio frequency to prevent the transmission between nodes. In this paper, we propose detecting the position of the jammer indoor by using the received signal strength and Kalman filter (KF) to reduce the noise due to the multipath signal caused by obstacles in the indoor environment. We compare our work to the Linear Prediction Algorithm (LP) and Centroid Localization Algorithm (CL). We observed that the Kalman filter has better results when estimating the distance compared to other algorithms.

关键词： Jammer Detecting Kalman Filter (KF) Linear Prediction (LP) Centroid Localization (CL) Jammer Received Signal Strength (JRSS) Multipath Signal Indoor Location

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Modelling of a Residential Solar Energy Recuperation System Setup

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Open Journal of Energy Efficiency 2016年第4期5卷 135-147页

作者： Mohammed Alghassab mohamed A. zohdy Electrical and Computer Engineering Department Oakland University Rochester MI USA College of Engineering Shaqra University Riyadh Saudi Arabia

Increased pollution levels have caused damage to our planet. Many scientists are now warning on the long term effects. Green houses gases causes more of the sunlight to be trapped within the Earth’s atmosphere and thus causing increased Earth temperature. Individuals, governments, and private entities are now acting on fixing this problem. One of the most promising solutions is installing an array of solar cells in residential areas. Doing so makes sense for areas with abundant sunlight as the dependency on the grid can be minimized and even completely illuminated while providing a feasible economic perspective at the same time. This paper presents the modelling of a residential setup as a complete system along with an electric vehicle. The modelled components include: Photovoltaic Cells, Home Load Usage, Electric Vehicle, High-Voltage battery as an energy storage, Boost, and Inverter. The presented analysis will help engineers and system designers do better cost analysis. The study can also be used as a basis for maximizing the solar energy usage and perform component optimization.

关键词： Renewable Energy Photovoltaic Cells Electric Energy System Modelling

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Cloud-Based Access Control to Preserve Privacy in Academic Web Application

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Journal of Computer and Communications 2019年第12期7卷 37-49页

作者： Aljwhrh Almtrf mohamed zohdy School of Engineering and Computer Science Oakland University Rochester MI USA

Emerging cloud computing has introduced new platforms for developing enterprise academic web applications, where software, platforms and infrastructures are published to the globe as services. Software developers can build their systems by multiple invocations of these services. This research is devoted to investigating the management and data flow control over enterprise academic web applications where web services and developed academic web application are constructing infrastructure-networking scheme at the application level. Academic web services are invoked over http port and using REST based protocol;thus traditional access control method is not enough to control the follow of data using host and port information. The new cloud based access control rules proposed here are to be designed and implemented to work at this level. The new proposed access control architecture will be a web service gateway, and it published itself as a service (SaaS). We used three case studies to test our moodle and then we apply JSON parsers to perceive web service description file (WSDL file) and supply policies according to data are to be allowed or denied based on user roll through our parsing.

关键词： Cloud Computing Web Application Access Control Data Privacy Privacy Framework

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Clustering Approach for Analyzing the Student’s Efficiency and Performance Based on Data

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Journal of Data Analysis and Information Processing 2020年第3期8卷 171-182页

作者： Tallal Omar Abdullah Alzahrani mohamed zohdy Department of Computer Science and Engineering Oakland University (OU) Rochester MI USA Department of Electrical and Computer Engineering Oakland University (OU) Rochester MI USA

The academic community is currently confronting some challenges in terms of analyzing and evaluating the progress of a student’s academic performance. In the real world, classifying the performance of the students is a scientifically challenging task. Recently, some studies apply cluster analysis for evaluating the students’ results and utilize statistical techniques to part their score in regard to student’s performance. This approach, however, is not efficient. In this study, we combine two techniques, namely, k-mean and elbow clustering algorithm to evaluate the student’s performance. Based on this combination, the results of performance will be more accurate in analyzing and evaluating the progress of the student’s performance. In this study, the methodology has been implemented to define the diverse fascinating model taking the student test scores.

关键词： K-Means Technique Elbow Technique Clustering Technique Data Mining Academic Performance

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Real-Time Performance Assessment of Operating Photovoltaic (PV) Systems

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Energy and Power Engineering 2020年第6期12卷 339-347页

作者： Abdullah M. ALzahrani mohamed A. zohdy Department of Electrical and Computer Engineering Oakland University Rochester MI USA

A technology called solar energy is a very promising technique, and is considered as the cleanest and the most abundant renewable resource that is naturally available every day. In this paper, a MATLAB environment has been developed to calculate real-time power incidence on a PV system. It takes into account the time, location, PV tilt, and azimuth angles, and weather conditions to estimate incident power. In this paper, one case study is considered at New York State location. It has been applied to a newly installed 8 kW residential system located in Inwood. The solar panels are made up of silicon HIT (Heterojunction with Intrinsic Thin Layer) cells by Panasonic and solar cell rated at 19%. The result shows that the system is performing at its rated efficiency. The calculations involve the determination of direct, diffused and reflected radiation on the panels taking into account the time of the day, location, PV area, and orientations and weather conditions. The cloudiness index may be estimated based on the weather data and included in the calculations. After performing the irradiance calculations, the output power is estimated based on the rated efficiency at its temperature and compared with the generated output power. The real-time assessment of a PV system performance, during the operational time monitors the health of the PV system. The data obtained by this calculator may accompany production data provided to the consumer by the utility company.

关键词： PV System Irradiance Calculation PV Performance Method

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