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Desertification Detection in Makkah Region based on Aerial Images Classification

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Computer Systems Science & Engineering 2022年第2期40卷 607-618页

作者： yahia Said Mohammad Barr Taoufik Saidani mohamed Atri Electrical Engineering Department College of EngineeringNorthern Border UniversityArarSaudi Arabia Laboratory of Electronics and Microelectronics(LR99ES30) Faculty of Sciences of MonastirUniversity of MonastirTunisia Department of Computer Sciences Faculty of Computing&Information TechnologyNorthern Border UniversityRafhaSaudi Arabia College of Computer Sciences King Khalid UniversityAbhaSaudi Arabia

Desertification has become a global threat and caused a crisis,especially in Middle Eastern countries,such as Saudi *** is one of the most important cities in Saudi Arabia that needs to be protected from *** vegetation area in Makkah has been damaged because of desertification through wind,floods,overgrazing,and global climate *** damage caused by desertification can be recovered provided urgent action is taken to prevent further degradation of the vegetation *** this paper,we propose an automatic desertification detection system based on Deep Learning *** images are classified using Convolutional Neural Networks(CNN)to detect land state variation in *** have been widely used for computer vision applications,such as image classification,image segmentation,and quality *** proposed CNN model was trained and evaluated on the Arial Image Dataset(AID).Compared to state-of-the-art methods,the proposed model has better performance while being suitable for embedded *** has achieved high efficiency with 96.47% *** light of the current research,we assert the appropriateness of the proposed CNN model in detecting desertification from aerial images.

关键词： Desertification detection deep learning convolutional neural networks(CNN) aerial images classification Makkah region

Human Faces Detection and Tracking for Crowd Management in Hajj and Umrah

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Computers, Materials & Continua 2022年第6期71卷 6275-6291页

作者： Riad Alharbey Ameen Banjar yahia Said mohamed Atri Abdulrahman Alshdadi mohamed Abid Department of Information Systems and Technology College of Computer Science and EngineeringUniversity of JeddahJeddahSaudi Arabia Electrical Engineering Department College of EngineeringNorthern Border UniversityArarSaudi Arabia Laboratory of Electronics and Microelectronics(LR99ES30) Faculty of Sciences of MonastirUniversity of MonastirTunisia College of Computer Sciences King Khalid UniversityAbhaSaudi Arabia CES Laboratory ENISUniversity of SfaxTunisia

Hajj and Umrah are two main religious duties for *** help faithfuls to perform their religious duties comfortably in overcrowded areas,a crowd management system is a must to control the entering and exiting for each *** the number of people is very high,an intelligent crowd management system can be developed to reduce human effort and accelerate the management *** this work,we propose a crowd management process based on detecting,tracking,and counting human faces using Artificial Intelligence *** detection and counting will be performed to calculate the number of existing visitors and face detection and tracking will be used to identify all the humans for security *** proposed crowd management system is composed form three main parts which are:(1)detecting human faces,(2)assigning each detected face with a numerical identifier,(3)storing the identity of each face in a database for further identification and *** main contribution of this work focuses on the detection and tracking model which is based on an improved object detection *** improved Yolo v4 was used for face detection and *** has been very effective in detecting small objects in highresolution *** novelty contained in thismethod was the integration of the adaptive attention mechanism to improve the performance of the model for the desired *** wise attention mechanism was applied to the output layers while both channel wise and spatial attention was integrated in the building *** main idea from the adaptive attention mechanisms is to make themodel focus more on the target and ignore false positive *** demonstrated the efficiency of the proposed method through expensive experimentation on a publicly available *** wider faces dataset was used for the train and the evaluation of the proposed detection and tracking *** proposed model has achieved good results with 91.2%of mAP and a processing speed

关键词： Crowdmanagement Hajj and Umrah face detection object tracking convolutional neural networks(CNN) adaptive attention mechanisms

PV Solar Yield Applicable Simulator Based on Free Irradiance Data Source:Applied Comprehensive Tool for Solar Engineers

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Energy Engineering 2023年第4期120卷 885-909页

作者： Ahmed mohamed Ragab Abdelhalim Abdelnaby Zekry Ashraf yahia Hassan Faculty of Engineering Communication SectionBenha UniversityBenha13511Egypt Faculty of Engineering Communication SectionAin Shams UniversityCairo11566Egypt

Accurate PV system simulators are implemented with expensive software platforms using paid irradiance *** main purpose of this paper is to develop and validate a PV system simulator,beginning with a solar cell parameter extraction model,then test and validate long-termIrradiance data using free online source(Typical Meteorological Year TMY in(PVGIS)European website),and finally building full solar generator simulator to run in working real *** results with Accurate Paid PV simulators(which use theMuneer model)showed good accuracy of the proposed *** flow starts with the Irradiance model’s data processing,then solar cell 5 parameters model data processing(to extract cell parameters),and finally full system *** coding programs in real working conditions are used for *** of solar cell parameter extraction show 99.6%to 99.99%matching with data sheet and cell performance under standard test *** simulation output shows 8%less yearly generated energy compared to the PVGIS 2022 long-term simulation(hourly basis(one-year time)).This is due to incident energy variations(between the years 2016 and 2022)of 4.02%.The novelty of the algorithm is the methodology,as it tests irradiance data on an hourly basis and validates results for a whole continuous ***,the 5-parameter solar cell model is used to be validated in long term analysis,not only STC conditions and could be applied on any PV solar *** algorithm and block diagramused are scalable,modular,and interchangeable with similarmodels to be *** simulator could test severalmethods andmodels in solar pv technology.

关键词： Photovoltaics solar systems solar cell parameters extraction solar simulationmodel irradiancemodels solar yield long term analysis

An Efficient Text Recognition System from Complex Color Image for Helping the Visually Impaired Persons

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Computer Systems Science & Engineering 2023年第7期46卷 701-717页

作者： Ahmed Ben Atitallah mohamed Amin Ben Atitallah yahia Said Mohammed Albekairi Anis Boudabous Turki MAlanazi Khaled Kaaniche mohamed Atri Department of Electrical Engineering College of EngineeringJouf UniversitySakakaSaudi Arabia Laboratory of Informatics Gaspard-MongeA3SIESIEE ParisCNRSGustave Eiffel UniversityFrance LETI ENISUniversity of SfaxSfaxTunisia Remote Sensing Unit College of EngineeringNorthern Border UniversityArarSaudi Arabia Laboratory of Electronics and Microelectronics(LR99ES30) University of MonastirTunisia Department of Computer Engineering and Networks College of Computer and Information SciencesJouf UniversitySakakaSaudi Arabia College of Computer Sciences King Khalid UniversityAbhaSaudi Arabia

The challenge faced by the visually impaired persons in their day-today lives is to interpret text from *** this context,to help these people,the objective of this work is to develop an efficient text recognition system that allows the isolation,the extraction,and the recognition of text in the case of documents having a textured background,a degraded aspect of colors,and of poor quality,and to synthesize it into *** system basically consists of three algorithms:a text localization and detection algorithm based on mathematical morphology method(MMM);a text extraction algorithm based on the gamma correction method(GCM);and an optical character recognition(OCR)algorithm for text recognition.A detailed complexity study of the different blocks of this text recognition system has been *** this study,an acceleration of the GCM algorithm(AGCM)is *** AGCM algorithm has reduced the complexity in the text recognition system by 70%and kept the same quality of text recognition as that of the original *** assist visually impaired persons,a graphical interface of the entire text recognition chain has been developed,allowing the capture of images from a camera,rapid and intuitive visualization of the recognized text from this image,and text-to-speech *** text recognition system provides an improvement of 6.8%for the recognition rate and 7.6%for the F-measure relative to GCM and AGCM algorithms.

关键词： Text recognition system GCM AGCM OCR color images graphical interface

Integrative herbal treatments of diabetes in Beni Mellal region of Morocco

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Journal of Integrative Medicine 2019年第2期17卷 93-99页

作者： Hanae Naceiri Mrabti Nidal Jaradat mohamed Reda Kachmar Abdelaziz Ed-Dra Abdelilah Ouahbi yahia Cherrah Moulay El Abbes Faouzi Faculty of Medicine and Pharmacy Pharmacokinetic Team Laboratory of Pharmacology and Toxicology Université Mohammed V-Souissi Department of Pharmacy Faculty of Medicine and Health Sciences An-Najah National University Faculty of Sciences Health and Environment Laboratory Plant Protection Team Moulay Ismail University Faculty of Science Team of Microbiology and Health Laboratory of Chemistry-Biology Applied to the Environment Moulay Ismail University

Objectives: Diabetes is one of the most life-threatening chronic metabolic disorders and is considered a global health problem due to its prevalence and incidence. In Morocco, several herbal preparations are utilized to treat this disease. For this reason, the current study aimed to identify and to collect data about the medicinal plants utilized in folk medicine for the treatment of diabetes in the Beni Mellal region of ***: An ethnobotanical survey was carried out among 400 herbalists, competent villagers and traditional healers from the Beni Mellal region through direct interviews using a semistructured ***: Forty-five medicinal plants belonging to 25 families were identified for their use in diabetes treatment. Interview results showed that the most frequently used plants were Olea europaea, Salvia officinalis, Allium sativum and Trigonella foenum-graecum, with a relative frequency of citation values of24.3%, 23.0%, 22.5% and 20.5%, respectively. Moreover, in this study, the Fabaceae family was the most commonly reported plant family, and the leaves and roots were the most commonly used parts, for the treatment of ***: The Beni Mellal region of Morocco has an important floristic biodiversity of plants used to treat diabetes in traditional medicinal practice. This result provides a good database for pharmacological screenings in the search for plant-based antidiabetic medications.

关键词： Integrative medicine Medicinal plants Diabetes Beni Mellal Morocco Questionnaire

To Perform Road Signs Recognition for Autonomous Vehicles Using Cascaded Deep Learning Pipeline

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Artificial Intelligence Advances 2019年第1期1卷 1-10页

作者： Riadh Ayachi yahia ElFahem Said mohamed Atri Laboratory of Electronics and Microelectronics(EμE) Faculty of Sciences of MonastirUniversity of MonastirTunisia Electrical Engineering Department College of EngineeringNorthern Border UniversityArarSaudi Arabia

Autonomous vehicle is a vehicle that can guide itself without human *** is capable of sensing its environment and moving with little or no human *** kind of vehicle has become a concrete reality and may pave the way for future systems where computers take over the art of *** artificial intelligence control systems interpret sensory information to identify appropriate navigation paths,as well as obstacles and relevant road *** this paper,we introduce an intelligent road signs classifier to help autonomous vehicles to recognize and understand road *** road signs classifier based on an artificial intelligence *** particular,a deep learning model is used,Convolutional Neural Networks(CNN).CNN is a widely used Deep Learning model to solve pattern recognition problems like image classification and object *** has successfully used to solve computer vision problems because of its methodology in processing images that are similar to the human brain decision *** evaluation of the proposed pipeline was trained and tested using two different *** proposed CNNs achieved high performance in road sign classification with a validation accuracy of 99.8%and a testing accuracy of 99.6%.The proposed method can be easily implemented for real time application.

关键词： Traffic signs classification Autonomous vehicles Artificial intelligence Deep learning Convolutional Neural Networks CNN Image understanding

New Decision-Making Technique Based on Hurwicz Criteria for Fuzzy Ranking

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Computers, Materials & Continua 2022年第12期73卷 4595-4609页

作者： Deepak Sukheja Javaid Ahmad Shah G.Madhu K.Sandeep Kautish Fahad A.Alghamdi Ibrahim.S.yahia El-Sayed M.El-Kenawy Ali Wagdy mohamed Department of Computer Science and Engineering VNR Vignana Jyothi Institute of Engineering and TechnologyHyderabadIndia Department of Mathematics Dr.APJ Abdul Kalam University Indore(M.P)India Department of Information Technology VNR Vignana Jyothi Institute of Engineering and TechnologyHyderabadIndia LBEF Campus Kathmandu44600Nepal Department of Management Information Systems College of Applied Studies and Community ServiceImam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia Laboratory of Nano-Smart Materials for Science and Technology(LNSMST) Department of PhysicsFaculty of ScienceKing Khalid UniversityP.O.Box 9004Abha 61413Saudi Arabia Research Center for Advanced Materials Science(RCAMS) King Khalid UniversityP.O.Box 9004Abha 61413Saudi Arabia Nanoscience Laboratory for Environmental and Biomedical Applications(NLEBA) Semiconductor Lab.Department of PhysicsFaculty of EducationAin Shams UniversityRoxyCairo 11757Egypt Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Department of Mathematics and Actuarial Science School of Sciences Engineering The American University in CairoEgypt

Efficient decision-making remains an open challenge in the research community,and many researchers are working to improve accuracy through the use of various computational *** this case,the fuzzification and defuzzification processes can be very *** is an effective process to get a single number from the output of a fuzzy *** defuzzification as a center point of this research paper,to analyze and understand the effect of different types of vehicles according to their *** this paper,the multi-criteria decision-making(MCDM)process under uncertainty and defuzzification is discussed by using the center of the area(COA)or ***,to find the best solution,Hurwicz criteria are used on the defuzzified ***-making technique is proposed using Hurwicz criteria for triangular and trapezoidal fuzzy *** proposed technique considers all types of decision makers’perspectives such as optimistic,neutral,and pessimistic which is crucial in solving decisionmaking problems.A simple case study is used to demonstrate and discuss the Centroid Method and Hurwicz Criteria for measuring risk attitudes among *** significance of the proposed defuzzification method is demonstrated by comparing it to previous defuzzification procedures with its application.

关键词： Defuzzification decision-making fuzzy numbers Hurwicz multicriteria decision-making ranking order

Assessment of LV Function in Children with Wilson’s Disease: Speckle Tracking Imaging Study

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World Journal of Cardiovascular Diseases 2019年第3期9卷 202-211页

作者： Mahmoud Kamel Ahmed mohamed yahia Rehab Yaseen Morad Beshay Department of Cardiology Menoufia University Menoufia Egypt

Background and Objective: Wilson’s disease is a genetic disorder of copper metabolism that affects liver and other organs including heart. In early stages of myocardial affection, the left ventricle (LV) appears apparently normal when evaluated by traditional two-dimensional (2D) echocardiography. The aim of this study was to detect subclinical LV dysfunction in children with Wilson’s disease using 2D speckle tracking echocardiography. Patients and Methods: Twenty children with Wilson’s disease were compared with age- and sex-matched 20 healthy children. All subjects were evaluated by traditional 2D echocardiography and speckle tracking echocardiography. Results: There were no significant differences between patients and controls regarding conventional echo parameters except for lower E mitral flow and E' annular septal peak velocity in patient group. The regional peak longitudinal strain of apical 4 chamber view was -17.8% ± 4.2% in patients and -20.1% ± 2.3 % in control subjects (P = 0.043), and for apical 2 chambers view, it was -20.1%± 3.6% in patients and -22.6% ± 3.4% in control subjects (P = 0.034) and it was -18% ± 3.5% in patients and -20.5% ± 3.2% in control subjects (P = 0.025) in apical long axis view. The global peak longitudinal strain was also lower in patients than control group (18.3% ± 3.2%, and 20.85% ± 2.4%) respectively (P = 0.014). There were no significant differences between both groups regarding circumferential and radial strains (P > 0.05). Conclusions: Despite apparently normal LV systolic function, the children with Wilson’s disease demonstrated significantly lower peak longitudinal strain as an indicator for early affection of LV systolic function.

关键词： Wilson’s Disease Speckle Tracking Echocardiography

Evaluation of Risk Management of Foodborne Infection in Hospital

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Journal of Life Sciences 2014年第11期8卷 865-871页

作者： Abouda yahia Mahjoub mohamed Bouafia Nabiha Bouriga Rym Njah Mansour Institute of Biotechnology of Monastir CHU F Haehed Sousse Sousse 4000 Tunisia Hygiene Service in F. Hached Hospital of Sousse CHU F Hached Sousse Sousse 4000 Tunisia

As being at the head of the establishment, the hospital manager＇s major concern is food safety in his hospital. Unfortunately, because of their health weaknesses, patients are more susceptible to foodborne illness than any other population group As match as food prepared according to less stringent hygiene＇s rules can infect or intoxicate more than it would be in a healthy population, as hygiene＇s rules must be observed in a particularly strict way, at the kitchen where meals are prepared for health care facilities. In fact, hospitals＇ food hygiene＇s rules are those who defined catering. They are made to avoid food contamination and microbial growth throughout the food chain from raw materials＇ delivery to the consumer. The main objective of taking the meal as a patients＇ tracer is to detect and study the infection＇s risk associated with feeding at hospital, and to provide practical tools to better manage this risk. Methodology was based on an analysis of the last six years＇ work concerning hygiene＇s audits and bacteriological analyses. The results showed that the food infectious risk has an important frequency, on one side; on another, they were used as a standard model of such risk＇s management.

关键词： Hospital restoration patient infectious risk-management.