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A Distributionally Robust Optimization Scheduling Model for Regional Integrated Energy Systems Considering Hot Dry Rock Co-Generation

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Computer Modeling in Engineering & Sciences 2024年第8期140卷 1387-1404页

作者： Hao Qi mohamed sharaf Andres Annuk Adrian Ilinca mohamed A.mohamed College of Electrical and New Energy China Three Gorges UniversityYichang443002China Department of Industrial Engineering College of EngineeringKing Saud UniversityRiyadh11421Saudi Arabia Institute of Forestry and Engineering Estonian University of Life SciencesTartu51006Estonia Department of Mechanical Engineering école de Technologie SupérieureMontréalQC H3C 1K3Canada Electrical Engineering Department Faculty of EngineeringMinia UniversityMinia61519Egypt

Hot dry rock(HDR)is rich in reserve,widely distributed,green,low-carbon,and has broad development potential and *** this paper,a distributionally robust optimization(DRO)scheduling model for a regionally integrated energy system(RIES)considering HDR co-generation is ***,the HDR-enhanced geothermal system(HDR-EGS)is introduced into the ***-EGS realizes the thermoelectric decoupling of combined heat and power(CHP)through coordinated operation with the regional power grid and the regional heat grid,which enhances the system wind power(WP)feed-in ***,peak-hour loads are shifted using price demand response guidance in the context of time-of-day ***,the optimization objective is established to minimize the total cost in the RIES scheduling cycle and construct a DRO scheduling model for RIES with *** simulating a real small-scale RIES,the results show that HDR-EGS can effectively promote WP consumption and reduce the operating cost of the system.

关键词： Energy harvesting integrated energy systems optimum scheduling time-of-use pricing demand response geothermal energy

Synergistic Swarm Optimization Algorithm

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Computer Modeling in Engineering & Sciences 2024年第6期139卷 2557-2604页

作者： sharaf Alzoubi Laith Abualigah mohamed sharaf Mohammad Sh.Daoud Nima Khodadadi Heming Jia Faculty of Computer Sciences and Informatics Amman Arab UniversityAmman11953Jordan Computer Science Department Al Al-Bayt UniversityMafraq25113Jordan Department of Electrical and Computer Engineering Lebanese American UniversityByblos13-5053Lebanon Hourani Center for Applied Scientific Research Al-Ahliyya Amman UniversityAmman19328Jordan MEU Research Unit Middle East UniversityAmman11831Jordan Applied Science Research Center Applied Science Private UniversityAmman11931Jordan School of Computer Sciences Universiti Sains MalaysiaPulau Pinang11800Malaysia School of Engineering and Technology Sunway University MalaysiaPetaling Jaya27500Malaysia Department of Industrial Engineering College of EngineeringKing Saud UniversityP.O.Box 800Riyadh11421Saudi Arabia College of Engineering Al Ain UniversityAbu Dhabi112612United Arab Emirates Department of Civil and Architectural Engineering University of MiamiCoral Gables1251USA School of Information Engineering Sanming UniversitySanming365004China

This research paper presents a novel optimization method called the Synergistic Swarm Optimization Algorithm(SSOA).The SSOA combines the principles of swarmintelligence and synergistic cooperation to search for optimal solutions efficiently.A synergistic cooperation mechanism is employed,where particles exchange information and learn from each other to improve their search *** cooperation enhances the exploitation of promising regions in the search space while maintaining exploration ***,adaptive mechanisms,such as dynamic parameter adjustment and diversification strategies,are incorporated to balance exploration and *** leveraging the collaborative nature of swarm intelligence and integrating synergistic cooperation,the SSOAmethod aims to achieve superior convergence speed and solution quality performance compared to other optimization *** effectiveness of the proposed SSOA is investigated in solving the 23 benchmark functions and various engineering design *** experimental results highlight the effectiveness and potential of the SSOA method in addressing challenging optimization problems,making it a promising tool for a wide range of applications in engineering and *** codes of SSOA are available at:https://***/matlabcentral/fileexchange/153466-synergistic-swarm-optimization-algorithm.

关键词： Synergistic swarm optimization algorithm optimization algorithm metaheuristic engineering problems benchmark functions

Path planning for moving target tracking by fixed-wing UAV

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Defence Technology（防务技术） 2020年第4期16卷 811-824页

作者： Song-lin Liao Rong-ming Zhu Nai-qi Wu Tauqeer Ahmed Shaikh mohamed sharaf Almetwally M.Mostafa School of Electro-Mechanical Engineering Xidian UniversityXi'an 710071China Institute of Systems Engineering Macao University of Science and TechnologyTaipa999078Macao Electrical Engineering Department College of EngineeringKing Saud UniversityRiyadh 11421Saudi Arabia Industrial Engineering Department College of EngineeringKing Saud UniversityP.O.Box 800Riyadh 11421Saudi Arabia College of Computer and Information Sciences King Saud UniversityP.O.Box 800Riyadh 11421Saudi Arabia Faculty of Engineering Alazhar University CairoEgypt

For the automatic tracking of unknown moving targets on the ground,most of the commonly used methods involve circling above the *** such a tracking mode,there is a moving laser spot on the target,which will bring trouble for cooperative manned *** this paper,we propose a new way of tracking,where an unmanned aerial vehicle(UAV) circles on one side of the tracked target.A circular path algorithm is developed for monitoring the relative position between the UAV and the target considering the real-time range and the bearing *** can determine the center of the new circular path if the predicted range between the UAV and the target does not meet the monitoring requirements.A transition path algorithm is presented for planning the transition path between circular paths that constrain the turning radius of the *** transition path algorithm can generate waypoints that meet the flight *** this paper,we analyze the entire method and detail the scope of *** formulate an observation angle as an evaluation index.A series of simulations and evaluation index comparisons verify the effectiveness of the proposed algorithms.

关键词： Bearing angle Fixed-wing UAV Laser designation Moving target tracking Path planning

Multi-Objective Optimization Algorithm for Grouping Decision Variables Based on Extreme Point Pareto Frontier

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Computers, Materials & Continua 2024年第4期79卷 1281-1299页

作者： JunWang Linxi Zhang Hao Zhang Funan Peng Mohammed A.El-Meligy mohamed sharaf Qiang Fu College of Computer Science and Technology Shenyang University of Chemical TechnologyShenyang110142China Key Laboratory of Intelligent Technology for Chemical Process Industry of Liaoning Province Shenyang University of Chemical TechnologyShenyang110142China Industrial Engineering Department College of EngineeringKing Saud UniversityP.O.Box 800Riyadh11421Saudi Arabia

The existing algorithms for solving multi-objective optimization problems fall into three main categories:Decomposition-based,dominance-based,and *** multi-objective optimization problemsmainly focus on objectives,treating decision variables as a total variable to solve the problem without consideringthe critical role of decision variables in objective *** seen,a variety of decision variable groupingalgorithms have been ***,these algorithms are relatively broad for the changes of most decisionvariables in the evolution process and are time-consuming in the process of finding the Pareto *** solvethese problems,a multi-objective optimization algorithm for grouping decision variables based on extreme pointPareto frontier(MOEA-DV/EPF)is *** algorithm adopts a preprocessing rule to solve the Paretooptimal solution set of extreme points generated by simultaneous evolution in various target directions,obtainsthe basic Pareto front surface to determine the convergence effect,and analyzes the convergence and distributioneffects of decision *** the later stages of algorithm optimization,different mutation strategies are adoptedaccording to the nature of the decision variables to speed up the rate of evolution to obtain excellent individuals,thusenhancing the performance of the *** validation of the test functions shows that this algorithmcan solve the multi-objective optimization problem more efficiently.

关键词： Multi-objective evolutionary optimization algorithm decision variables grouping extreme point pareto frontier

Improvement of Selected Morphological, Physiological, and Biochemical Parameters of Banana (Musa acuminata L.) Using Potassium Silicate under Drought Stress Condition Grown in vitro

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Phyton-International Journal of Experimental Botany 2023年第4期92卷 1019-1036页

作者： Hosny Abdel Aziz mohamed sharaf Magdy Omar Ahmed Abou El-Yazied Nada Ibrahim AlJwaizea Shaimaa Ismail mohamed M.A.Omar Khadiga Alharbi Amr Elkelish Moataz Tawfik Department of Horticulture Faculty of AgricultureAl-Azhar UniversityCairo11651Egypt Department of Biochemistry Faculty of AgricultureAl-Azhar UniversityCairo11651Egypt Department of Biochemistry and Molecular Biology College of Marine Life SciencesOcean University of ChinaQingdao266003China Department of Agricultural Botany Faculty of AgricultureAl-Azhar UniversityNasr CityCairo11751Egypt Department of Horticulture Faculty of AgricultureAin Shams UniversityCairo11566Egypt Department of Biology College of SciencePrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Biochemistry Faculty of AgricultureAin Shams UniversityCairo11566Egypt Biology Department College of ScienceImam Mohammad ibn Saud Islamic University(IMSIU)Riyadh11623Saudi Arabia Botany Department Faculty of ScienceSuez Canal UniversityIsmailia41522Egypt Botany Department Faculty of SciencePort Said UniversityPort Said42511Egypt

Drought stress has become more common in recent years as a result of climate change impacts on the production of banana crops and other fruit *** growth and productivity of Musa spp are severely impacted by the gradual degradation of water resources and the erratic distribution pattern of annual precipitation *** aim of the work includes increased drought tolerance in light of water scarcity in the world as a result of the bananas’being gluttonous for water *** investigation was carried out from 2019 to 2020 to study the effect of potassium silicate on morphological growth and biochemical parameters of Musa acuminata L under drought stress by *** a result,drought stress reduced the morphological characteristics such as shoots number,shoot length,roots number,and survival percentage and biochemical characteristics such as chlorophyll a,b,carotenoids,stomatal status,and *** proline content increased in the leaf of *** *** complemented with K2SiO3(2 to 6 mM)either individually or in combination with PEG led to an improvement in all morphological and biochemical *** activities of CAT,POD,and PPO enzymes increased significantly compared to ***,the lowest PPO,CAT,and POD activity were ***,K2SiO3 treatments under drought stress successfully enhanced the leaf stomatal *** results suggest that K2SiO3 can help to maintain plant integrity in the tested cultivar under drought stress.

关键词： Musa acuminata L potassium silicate photosynthetic pigments stomata enzymatic activity

A Lightweight Approach for Skin Lesion Detection Through Optimal Features Fusion

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Computers, Materials & Continua 2022年第1期70卷 1617-1630页

作者： Khadija Manzoor Fiaz Majeed Ansar Siddique Talha Meraj Hafiz Tayyab Rauf Mohammed A.El-Meligy mohamed sharaf Abd Elatty E.Abd Elgawad Department of Information Technology University of GujratGujrat50700Pakistan Department of Software Engineering University of GujratGujrat50700Pakistan Department of Computer Science COMSATS University Islamabad-Wah CampusWah Cantt47040Pakistan Centre for Smart Systems AI and CybersecurityStaffordshire UniversityStoke-on-TrentUK Advanced Manufacturing Institute King Saud UniversityRiyadh11421Saudi Arabia Department of Industrial Engineering College of EngineeringKing Saud UniversityRiyadh11421Saudi Arabia

Skin diseases effectively influence all parts of *** and accurate detection of skin cancer is necessary to avoid significant *** manual detection of skin diseases by dermatologists leads to misclassification due to the same intensity and color ***,an automated system to identify these skin diseases is *** studies on skin disease classification using different techniques have been ***,previous techniques failed to identify multi-class skin disease images due to their similar *** the proposed study,a computer-aided framework for automatic skin disease detection is *** the proposed research,we collected and normalized the datasets from two databases(ISIC archive,Mendeley)based on six Basal Cell Carcinoma(BCC),Actinic Keratosis(AK),Seborrheic Keratosis(SK),Nevus(N),Squamous Cell Carcinoma(SCC),and Melanoma(M)common skin ***,segmentation is performed using deep Convolutional Neural Networks(CNN).Furthermore,three types of features are extracted from segmented skin lesions:ABCD rule,GLCM,and in-depth *** transfer learning is used for deep feature extraction,while a support vector machine(SVM)is used for *** results show that SVM outperformed other studies in terms of accuracy,as AK disease achieved 100%accuracy,BCC 92.7%,M 95.1%,N 97.8%,SK 93.1%,SCC 91.4%with a global accuracy of 95.4%.

关键词： AlexNet CNN GLCM SVMs skin disease

Two Parameters Analytical Solution for the Stellar Density in Globular Clusters

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International Journal of Astronomy and Astrophysics 2012年第1期2卷 19-22页

作者： mohamed A. sharaf Amr A. sharaf Aisha Abdu Hussien Alshaery Astronomy Department Faculty of Science King Abdul Aziz University Jeddah Saudi Arabia Department of Information Technology Faculty of Computing and Information Technology King Abdul Aziz University Jeddah Saudi Arabia Department of Mathematics College of Science for Girls King Abdulaziz University Jeddah Saudi Arabia

In this paper, two parameters analytical solution will be established for the stellar density in globular clusters. These two parameters can be obtained from star counts, and the solution could be used to fit any orde... 详细信息

关键词： Globular Clusters Stellar Density Integral Equations Symbolic Representations

An Intrinsic Relation Between A Function of The RightAscension and Declination With the Angular Distanceto The Vertex for Hyades Stars

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International Journal of Astronomy and Astrophysics 2011年第2期1卷 105-108页

作者： mohamed Adel sharaf Hadia Hassan Selim Astronomy Department Faculty of Science King Abdul Aziz University Mathematics Department Faculty of Science University of Dammam

In this paper, an intrinsic relation was developed for Hyades stars between a function of the right ascensions α and declination δ with the angular distance λ from the vertex. The precision criteria of this relation are very satisfactory and a correlation coefficient of value ≈ 1 was found which proves that the attributes are completely related linearly.

关键词： Ttechniques Astrometry and kinematic Moving clusters Open clusters-Hyades cluster

Analysis of Risk Factors for Highway Construction Projects in Egypt

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Journal of Civil Engineering and Architecture 2015年第5期9卷 526-533页

作者： Mahmoud mohamed Mahmoud sharaf Hassan T. Abdelwahab International Department Acciona Engineering S.A. Doha 26026 Qatar College of Engineering Cairo University Giza 12411 Egypt

Egypt construction projects are associated with different levels of risks. The lack of familiarity of project management standards is one of the common risks in the construction industry in Egypt. The main aim of this paper is to identify the most significant risk factors affecting highway construction project in Egypt to decrease the likelihood and impact of those risks. The research method starts with extensive literature review to provide a prime risk factors list which was also augmented to expertise to reach final risk factor list which contains all risks that may be faced during highway construction. Subsequently, a set of 12 risk groups consisting of 73 risks was selected and a questionnaire survey was conducted to determine the likelihood and consequences of the identified risks. Later, a software application was developed using MATLAB to facilitate risk evaluation of highways projects. Results indicated that the risk factors arise from owner side is one of the most common risk factors in the construction industry in Egypt as the owner in the majority of construction project in Egypt is the governmental sector, however, the overall project risk of highway construction projects in Egypt is considered as at a medium level.

关键词： Risk management highway projects artificial intelligence construction in Egypt.