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A machine vision-intelligent modelling based technique for in-line bell pepper sorting

Information Processing in Agriculture 2023年第4期10卷 491-503页

作者： Khaled Mohi-Alden mahmoud Omid mahmoud Soltani Firouz Amin Nasiri Department of Agricultural Machinery Engineering Faculty of Agricultural Engineering and TechnologyUniversity of TehranIran Department of Biosystems Engineering and Soil Science University of TennesseeKnoxvilleTN 37996USA

The uniformity of appearance attributes of bell peppers is significant for consumers and food *** automate the sorting process of bell peppers and improve the packaging quality of this crop by detecting and separating the not likable low-color bell peppers,developing an appropriate sorting system would be of high importance and *** to standards and export needs,the bell pepper should be graded based on maturity levels and size to five *** research has been aimed to develop a machine vision-based system equipped with an intelligent modelling approach for in-line sorting bell peppers into desirable and undesirable samples,with the ability to predict the maturity level and the size of the desirable bell *** perceptron(MLP)artificial neural networks(ANNs)as the nonlinear modelswere designed for that *** modelswere trained and evaluated through five-fold cross-validation *** optimum MLP classifier was compared with a linear discriminant analysis(LDA)*** results showed that the MLP outperforms the LDA *** processing time to classify each captured image was estimated as 0.2 s/sample,which is fast enough for in-line ***,the optimum MLP model was integrated with a machine vision-based sorting machine,and the developed system was evaluated in the in-line *** performance parameters,including accuracy,precision,sensitivity,and specificity,were 93.2%,86.4%,84%,and 95.7%,*** total sorting rate of the bell pepper was also measured as approximately 3000 samples/h.

关键词： Bell pepper Sorting Image processing Machine vision Multilayer perceptron Linear discriminant analysis

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Keep on Striving: The Impact of Psychosocial Support on Jordanian Adolescents with Cancer

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Health 2016年第10期8卷 921-930页

作者： Ghada Mohammad Abu shosha Faculty of Nursing Zarqa University Zarqa Jordan

Having cancer during adolescence stage causes stressors in patients’ lives. They are responsible for dealing with many new situations and stressors. Coping with such stressors can be influenced by psychosocial factors. This study aimed to explore the impact of psychosocial support on adolescents with cancer. A qualitative exploratory design was used to understand the experience of psychosocial support from the perspectives of the patients. Twenty adolescents with cancer were selected purposefully from two major cancer treatment centers in Jordan. Semi-structured face-to-face interviews were used to obtain the participants’ perspectives. Data were analyzed using thematic analysis approach. Findings revealed three major themes: “supportive structure”, “precious aspects of psychosocial support”, and “cancer could be defeated”. Participants expressed their satisfaction with the psychosocial support provided to them. However, they asked for further improvement in hospital facilities, playrooms and leisure activities. In conclusion, having a strong psychosocial support system will help adolescents to cope with cancer. Family, friends, and the surrounding environment are the key elements in installing hope and helping adolescents to go through cancer experience. Nurses are advised to adopt these psychosocial keys in order to create age-related activities that would improve the patients’ coping with cancer.

关键词： Adolescents Children Cancer Nurses Jordan

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Theoretical investigations on electrocaloric properties of(111)-oriented PbMg_(1/3)Nb_(2)/3O_(3) single crystal

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Journal of Advanced Ceramics 2013年第4期2卷 308-312页

作者： mahmoud Aly HAMAD Physics Department Faculty of ScienceTanta UniversityTantaEgypt

The electrocaloric(EC)effect accompanied with the ferroelectric to paraelectric phase transition in(111)-oriented PbMg_(1/3)Nb_(2)/3O_(3)(PMN)is *** is shown that the largest change TDis 0.37 K in 3 kV/cm electric field shift near the Curie temperature of 221 K;that is,the cooling TDper unit field(MV/m)is 1.23×10^(-6) m·K/*** value is significantly larger,and comparable with the value of 0.254×10^(-6) m·K/V for PbZr_(0.95)Ti_(0.05)O_(3)thin film under larger electric field shift ED=30 kV/***,the EC effect of(111)PMN single crystal provides cooling solutions at low temperatures,and opens more opportunities for practical application in cooling systems.

关键词： electrocaloric(EC)effect PbMg_(1/3)Nb_(2)/3O_(3)(PMN) model polarization entropy change heat capacity change

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Shared Cache Based on Content Addressable Memory in a Multi-Core Architecture

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Computers, Materials & Continua 2023年第3期74卷 4951-4963页

作者： Allam Abumwais mahmoud Obaid Computer Systems Engineering Arab American UniversityJenin240Palestine

Modern shared-memory multi-core processors typically have shared Level 2(L2)or Level 3(L3)*** bottlenecks and replacement strategies are the main problems of such architectures,where multiple cores try to access the shared cache *** main problem in improving memory performance is the shared cache architecture and cache *** paper documents the implementation of a Dual-Port Content Addressable Memory(DPCAM)and a modified Near-Far Access Replacement Algorithm(NFRA),which was previously proposed as a shared L2 cache layer in a multi-core *** Performance Evaluation Corporation(SPEC)Central Processing Unit(CPU)2006 benchmark workloads are used to evaluate the benefit of the shared L2 cache *** show improved performance of the multicore processor’s DPCAM and NFRA algorithms,corresponding to a higher number of concurrent accesses to shared *** new architecture significantly increases system throughput and records performance improvements of up to 8.7%on various types of SPEC 2006 *** miss rate is also improved by about 13%,with some exceptions in the sphinx3 and bzip2 *** results could open a new window for solving the long-standing problems with shared cache in multi-core processors.

关键词： Multi-core processor shared cache content addressable memory dual port CAM replacement algorithm benchmark program

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Low Complexity Encoder with Multilabel Classification and Image Captioning Model

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Computers, Materials & Continua 2022年第9期72卷 4323-4337页

作者： mahmoud Ragab Abdullah Addas Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Centre of Artificial Intelligence for Precision Medicines King Abdulaziz UniversityJeddah21589Saudi Arabia Mathematics Department Faculty of ScienceAl-Azhar UniversityNaser City11884CairoEgypt Landscape Architecture Department Faculty of Architecture&PlanningKing Abdulaziz UniversityJeddah21589Saudi Arabia

Due to the advanced development in the multimedia-on-demandtraffic in different forms of audio, video, and images, has extremely movedon the vision of the Internet of Things (IoT) from scalar to Internet ofMultimedia Things (IoMT). Since Unmanned Aerial Vehicles (UAVs) generates a massive quantity of the multimedia data, it becomes a part of IoMT,which are commonly employed in diverse application areas, especially forcapturing remote sensing (RS) images. At the same time, the interpretationof the captured RS image also plays a crucial issue, which can be addressedby the multi-label classification and Computational Linguistics based imagecaptioning techniques. To achieve this, this paper presents an efficient lowcomplexity encoding technique with multi-label classification and image captioning for UAV based RS images. The presented model primarily involves thelow complexity encoder using the Neighborhood Correlation Sequence (NCS)with a burrows wheeler transform (BWT) technique called LCE-BWT forencoding the RS images captured by the UAV. The application of NCS greatlyreduces the computation complexity and requires fewer resources for imagetransmission. Secondly, deep learning (DL) based shallow convolutional neural network for RS image classification (SCNN-RSIC) technique is presentedto determine the multiple class labels of the RS image, shows the novelty ofthe work. Finally, the Computational Linguistics based Bidirectional EncoderRepresentations from Transformers (BERT) technique is applied for imagecaptioning, to provide a proficient textual description of the RS image. Theperformance of the presented technique is tested using the UCM dataset. Thesimulation outcome implied that the presented model has obtained effectivecompression performance, reconstructed image quality, classification results,and image captioning outcome.

关键词： Image captioning unmanned aerial vehicle low complexity encoder remote sensing images image classification

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Automated Artificial Intelligence Empowered Colorectal Cancer Detection and Classification Model

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Computers, Materials & Continua 2022年第9期72卷 5577-5591页

作者： mahmoud Ragab Ashwag Albukhari Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Centre of Artificial Intelligence for Precision Medicines King Abdulaziz UniversityJeddah21589Saudi Arabia Mathematics Department Faculty of ScienceAl-Azhar UniversityNaser City11884CairoEgypt Biochemistry Department Faculty of ScienceKing Abdulaziz UniversityJeddah21589Saudi Arabia

Colorectal cancer is one of the most commonly diagnosed cancers and it develops in the colon region of large *** histopathologist generally investigates the colon biopsy at the time of colonoscopy or *** detection of colorectal cancer is helpful to maintain the concept of accumulating cancer *** medical practices,histopathological investigation of tissue specimens generally takes place in a conventional way,whereas automated tools that use Artificial Intelligence(AI)techniques can produce effective results in disease detection *** this background,the current study presents an Automated AI-empowered Colorectal Cancer Detection and Classification(AAI-CCDC)*** proposed AAICCDC technique focuses on the examination of histopathological images to diagnose colorectal ***,AAI-CCDC technique performs preprocessing in three levels such as gray scale transformation,Median Filtering(MF)-based noise removal,and contrast *** addition,Nadam optimizer with EfficientNet model is also utilized to produce meaningful feature ***,Glowworm Swarm Optimization(GSO)with Stacked Gated Recurrent Unit(SGRU)model is used for the detection and classification of colorectal *** proposed AAI-CCDC technique was experimentally validated using benchmark dataset and the experimental results established the supremacy of the proposed AAI-CCDC technique over conventional approaches.

关键词： Colorectal cancer medical data classification noise removal data classification artificial intelligence biomedical images deep learning optimizers

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A Blockchain-Based Architecture for Enabling Cybersecurity in the Internet-of-Critical Infrastructures

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Computers, Materials & Continua 2022年第7期72卷 1579-1592页

作者： mahmoud Ragab Ali Altalbe Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Center of Artificial Intelligence for Precision Medicines King Abdulaziz UniversityJeddah21589Saudi Arabia Mathematics Department Faculty of ScienceAl-Azhar UniversityNaser City11884CairoEgypt

Due to the drastic increase in the number of critical infrastructures like nuclear plants,industrial control systems(ICS),transportation,it becomes highly vulnerable to several *** become the major targets of cyberattacks due to the increase in number of interconnections with other *** research works have focused on the design of intrusion detection systems(IDS)using machine learning(ML)and deep learning(DL)*** the same time,Blockchain(BC)technology can be applied to improve the security *** order to resolve the security issues that exist in the critical infrastructures and ICS,this study designs a novel BC with deep learning empowered cyber-attack detection(BDLE-CAD)in critical infrastructures and *** proposed BDLE-CAD technique aims to identify the existence of intrusions in the *** addition,the presented enhanced chimp optimization based feature selection(ECOA-FS)technique is applied for the selection of optimal subset of ***,the optimal deep neural network(DNN)with search and rescue(SAR)optimizer is applied for the detection and classification of ***,a BC enabled integrity checking scheme(BEICS)has been presented to defend against the misrouting *** experimental result analysis of the BDLE-CAD technique takes place and the results are inspected under varying *** simulation analysis pointed out the supremacy of the BDLE-CAD technique over the recent state of art techniques with the accuy of 92.63%.

关键词： BC internet of critical infrastructure ids deep learning security deep neural network machine learning

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The Rank of the 2-Class Group of Some Fields with LargeDegree

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Algebra Colloquium 2022年第2期29卷 181-188页

作者： Mohamed mahmoud Chems-Eddin Department of Mathematics Faculty of Sciences Dhar El Mahraz Sidi Mohamed Ben Abdellah UniversityFezMorocco

Let n≥3 be an integer and d an odd square-free *** compute the rank of the 2-class group of some fields of the form L_(n,d)=Q(ζ_(2^(n)),√d)when all the prime divisors of d are congruent to±3(mod 8)or 9(mod 16).

关键词： cyclotomic Z_(2)-extension 2-rank 2-class group

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Fuzzy Logic with Archimedes Optimization Based Biomedical Data Classification Model

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Computers, Materials & Continua 2022年第8期72卷 4185-4200页

作者： mahmoud Ragab Diaa Hamed Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah 21589Saudi Arabia Centre of Artificial Intelligence for Precision Medicines King Abdulaziz UniversityJeddah 21589Saudi Arabia Department of Mathematics Faculty of ScienceAl-Azhar UniversityNaser City 11884CairoEgypt Department of Mineral Resources and Rocks Faculty of Earth SciencesKing Abdulaziz UniversityJeddah 21589Saudi Arabia Geology Department Faculty of ScienceAl-Azhar UniversityNaser City 11884CairoEgypt

Medical data classification becomes a hot research topic in the healthcare sector to aid physicians in the healthcare sector for decision ***,the advances of machine learning(ML)techniques assist to perform the effective classification *** this motivation,this paper presents a Fuzzy Clustering Approach Based on Breadth-first Search Algorithm(FCA-BFS)with optimal support vector machine(OSVM)model,named FCABFS-OSVM for medical data *** proposed FCABFS-OSVM technique intends to classify the healthcare data by the use of clustering and classification ***,the proposed FCABFSOSVM technique involves the design of FCABFS technique to cluster the medical data which helps to boost the classification ***,the OSVM model investigates the clustered medical data to perform classification ***,Archimedes optimization algorithm(AOA)is utilized to the SVM parameters and boost the medical data classification results.A wide range of simulations takes place to highlight the promising performance of the FCABFS-OSVM *** comparison studies reported the enhanced outcomes of the FCABFS-OSVM technique over the recent state of art approaches.

关键词： Clustering medical data classification machine learning parameter tuning support vector machines

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Cost Estimate and Input Energy of Floor Systems in Low Seismic Regions

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Computers, Materials & Continua 2022年第5期71卷 2159-2173页

作者： Sayed mahmoud Alaa Salman Department of Civil and Construction Engineering College of EngineeringImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam 31441Kingdom of Saudi Arabia

Reinforced concrete(RC)as a material is most commonly used for buildings *** floor systems are available following the structural and architectural *** current research study provides cost and input energy comparisons of RC office buildings of different floor *** solid,ribbed,flat plate and flat slab systems are considered in the *** models in three-dimensional using extended threedimensional analysis of building systems(ETABS)and in two-dimensional using slab analysis by the finite element(SAFE)are developed for analysis *** and design using both software packages and manual calculations are employed to obtain the optimum sections and reinforcements to fit cities of low seismic intensities for all the considered building *** ground motion records of low peak ground acceleration(PGA)levels are used to excite the models to measure the input *** cost estimating system is adopted to categorize building components according to 12 ***,Microsoft(MS)Project is utilized to identify the construction cost and duration of each building *** study shows that floor system significantly causes changes in the input energy to *** addition,the slight increase in the PGA increases the amount of input energy particularly flat plate *** cost of the flat plate system that the flat slab system is of higher value as compared to ribbed and conventional slab *** use of drop panels increases this value as ***,the estimated cost of the ribbed slab system exceeds that of conventional system.

关键词： Uniformat system office buildings floor systems energy response cost estimating

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