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Investigating the influence of the counter Si-cell on the optoelectronic performance of high-efficiency monolithically perovskites/silicon tandem cells under various optical sources

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Optoelectronics Letters 2023年第4期19卷 215-221页

作者： Moustafa Ganoub Sameh O.Abdellatif Khaled Kirah hani A.Ghali The Renewable Energy Postgraduate Programme and the FabLab in the Centre for Emerging Learning Technologies (CELT) The British University in Egypt (BUE)Cairo 11837Egypt FabLab in the Centre for Emerging Learning Technologies (CELT) Electrical Engineering DepartmentFaculty of EngineeringThe British University in Egypt (BUE)Cairo 11837Egypt Engineering Physics Department Faculty of EngineeringAin Shams UniversityCairoEgypt

Nowadays,tandem structures have become a valuable competitor to conventional silicon solar cells,especially for perovskite over silicon,as metal halides surpassed Si with tunable bandgaps,high absorption coefficient,low deposition,and preparation *** led to a remarkable enhancement in the overall efficiency of the whole cell and its ***,this expands the usage of photovoltaic technology in various fields of applications not only under conventional light source spectrum in outdoor areas,i.e.,AM1.5G,but also under artificial light sources found indoors with broadband intensity values,such as Internet of things(Io Ts)applications to name a *** introduce a numerical model to analyze perovskite/Si tandem cells(PSSTCs)using both crystalline silicon(c-Si)and hydrogenated amorphous silicon(a-Si:H)experimentally validated as base *** proposed layers have been studied with J-V characteristics and energy band diagrams under AM1.5G by using SCAPS-1D software version_(3).***,the proposed architectures were tested under various artificial lighting *** proposed structures of Li_(4)Ti_(5)O_(12)/CsPbCl_(3)/MAPbBr_(3)/CH_(3)NH_(3)PbI_(3)/Si recorded a maximum power conversion efficiency(PCE)of 25.25%for c-Si and 17.02%for a-Si:H,with nearly 7%enhancement concerning the Si bare cell in both cases.

关键词： optoelectronic sources artificial

Assessing the optoelectronic behavior of soiled silicon photovoltaic cell under harsh environmental conditions

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Optoelectronics Letters 2023年第6期19卷 327-331页

作者： Lamis Amrr Sameh O.Abdellatif Khaled Kirah hani A.Ghali The Renewable Energy Postgraduate Programme and the FabLab in the Centre for Emerging Learning Technologies (CELT) The British University in Egypt (BUE)Cairo 11837Egypt FabLab in the Centre for Emerging Learning Technologies (CELT) Electrical Engineering DepartmentFaculty of EngineeringThe British University in Egypt (BUE)Cairo 11837Egypt Engineering Physics Department Faculty of EngineeringAin Shams UniversityCairoEgypt

In the current study,a monocrystalline Si photovoltaic(PV) cell was modeled using solar cell capacitance simulator(SCAPS) to demonstrate the optoelectronic performance of the cell under harsh environmental *** conditions are simulated in terms of wind speed and temperature fluctuations within the presence of a dust *** models are evaluated with respect to a bare model with no dust layer accumulated and operating under standard test conditions(STC).Accordingly,the PV under-test characteristics have been estimated under continuous wind speed and temperature *** interesting behavior for the cell operation under relatively high temperatures with an accumulated dust layer was *** short circuit current increased by 61.5% with decreasing open-circuit voltage by 47.3%,showing an overall positive trend for the power *** behavior contradicts the average temperature performance of cells without dust layer accumulation.A detailed justification is illustrated,where the heat transfer rate with dust accumulation highlighted an incremental increase concerning the bare cell by 14.57%.

关键词： behavior optoelectronic conditions

Developing a Breast Cancer Resistance Protein Substrate Prediction System Using Deep Features and LDA

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Computers, Materials & Continua 2023年第8期76卷 1643-1663页

作者： Mehdi Hassan Safdar Ali Jin Young Kim Muhammad Sanaullah hani Alquhayz Khushbakht Safdar Department of Computer Science Air UniversitySector E-9PAF ComplexIslamabad44000Pakistan Department of ICT Convergence System Engineering Chonnam National UniversityGwangjuKorea Directorate of National Repository IslamabadPakistan Department of Computer Science Bahauddin Zakariya UniversityMultan60000Pakistan Department of Computer Science and Information College of Science in ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia Pakistan Atomic Energy Commission General HospitalIslamabadPakistan

Breast cancer resistance protein(BCRP)is an important resistance protein that significantly impacts anticancer drug discovery,treatment,and *** identification of BCRP substrates is quite a challenging *** study aims to predict early substrate structure,which can help to optimize anticancer drug development and clinical *** this study,a novel intelligent approach-based methodology is developed by modifying the ResNet101 model using transfer learning(TL)for automatic deep feature(DF)extraction followed by classification with linear discriminant analysis algorithm(TLRNDF-LDA).This study utilized structural fingerprints,which are exploited by DF contrary to conventional molecular *** proposed in silico model achieved an outstanding accuracy performance of 98.56%on test data compared to other state-of-the-art approaches using standard quality ***,the model’s efficacy is validated via a statistical *** is demonstrated that the developedmodel can be used effectively for early prediction of the substrate *** pipeline of this study is flexible and can be extended for in vitro assessment efficacy of anticancer drug response,identification of BCRP functions in transport experiments,and prediction of prostate or lung cancer cell lines.

关键词： BCRP drug response deep learning transfer learning LDA In silico

Effect of surface retaining elements on rock stability:laboratory investigation with sand powder 3D printing

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International Journal of Coal Science & Technology 2023年第4期10卷 305-324页

作者： Hao Feng Lishuai Jiang Qingwei Wang Peng Tang Atsushi Sainoki hani S.Mitri State Key Laboratory of Mining Disaster Prevention and Control Shandong University of Science and TechnologyQingdao 266590China Faculty of Advanced Science and Technology Kumamoto UniversityKumamoto 860-8555Japan International Research Organization for Advanced Science and Technology Kumamoto UniversityKumamoto 860-8555Japan Department of Mining and Materials Engineering McGill UniversityMontreal H3A 0E8Canada

This study aims to investigate the benefcial efects of surface retaining elements (SREs) on the mechanical behaviors of bolted rock and roadway stability. 3D printing (3DP) technology is utilized to create rock analogue prismatic specimens for conducting this investigation. Uniaxial compression tests with acoustic emission (AE) and digital image correlation techniques have been conducted on 3DP specimens bolted with diferent SREs. The results demonstrate that the strength and modulus of elasticity of the bolted specimens show a positive correlation with the area of the SRE;the AE characteristics of the bolted specimens are higher than those of the unbolted specimen, but they decrease with an increase in SRE area, thus further improving the integrity of the bolted specimens. The reinforcement efect of SREs on the surrounding rock of roadways is further analyzed using numerical modelling and feld test. The results provide a better understanding of the role of SREs in rock bolting and the optimization of rock bolting design. Furthermore, they verify the feasibility of 3DP for rock analogues in rock mechanics tests.

关键词： Roadway stability Surface retaining element Sand-powder 3D printing Rock bolting Numerical modelling

Enhancing Bandwidth Utilization of IP Telephony Over IPv6 Networks

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Computer Systems Science & Engineering 2023年第2期44卷 1039-1049页

作者： hani Al-Mimi Yousef Alrabanah Mosleh M.Abualhaj Sumaya N.Al-khatib Al-Zaytooanh University of Jordan Faculty of Science and Information TechnologyDepartment of CybersecurityAmman11733Jordan Al-Ahliyya Amman University Faculty of Information TechnologyDepartment of Software EngineeringAmman19328Jordan Al-Ahliyya Amman University Faculty of Information TechnologyDepartment of Networks and Information SecurityAmman19328Jordan

The demand for the telecommunication services,such as IP telephony,has increased dramatically during the COVID-19 pandemic *** tele-phony should be enhanced to provide the expected *** of the issues that should be investigated in IP telephony is bandwidth *** telephony pro-duces very small speech samples attached to a large packet *** header of the IP telephony consumes a considerable share of the bandwidth allotted to the IP *** wastes the network's bandwidth and inﬂuences the IP telephony *** paper proposes a mechanism(called Smallerize)that reduces the bandwidth consumed by both the speech sample and the *** is achieved by assembling numerous IP telephony packets in one header and use the header'sﬁelds to carry the speech *** metrics have been used to measure the achievement Smallerize *** number of calls has been increased by 245.1%compared to the typical *** bandwidth saving has also reached 68%with the G.28 ***,Smallerize is a possible mechanism to enhance bandwidth utilization of the IP telephony.

关键词： –IP telephony codec bandwidth utilization IPv6

Encryption with Image Steganography Based Data Hiding Technique in IIoT Environment

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Computers, Materials & Continua 2022年第7期72卷 1323-1338页

作者： Mahmoud Ragab Samah Alshehri hani A.Alhadrami Faris Kateb Ehab Bahaudien Ashary SAbdel-khalek Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Centre of Artificial Intelligence for Precision Medicines King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Mathematics Faculty of ScienceAl-Azhar UniversityNaser City11884CairoEgypt Department of Pharmacy Practice Faculty of PharmacyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Medical Laboratory Technology Faculty of Applied Medical SciencesKing Abdulaziz UniversityJeddah21589Saudi Arabia Molecular Diagnostic Lab King Abdulaziz University HospitalKing Abdulaziz UniversityJeddah21589Saudi Arabia Special Infectious Agent Unit King Fahd Medical Research CenterKing Abdulaziz UniversityJeddah21589Saudi Arabia Electrical and Computer Engineering Department Faculty of EngineeringKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Mathematics Faculty of ScienceTaif UniversityTaif21944Saudi Arabia Department of Mathematics Faculty of ScienceSohag UniversitySohag82524Egypt

Rapid advancements of the Industrial Internet of Things(IIoT)and artificial intelligence(AI)pose serious security issues by revealing secret ***,security data becomes a crucial issue in IIoT communication where secrecy needs to be guaranteed in real ***,AI techniques can be utilized to design image steganographic techniques in *** addition,encryption techniques act as an important role to save the actual information generated from the IIoT devices to avoid unauthorized *** order to accomplish secure data transmission in IIoT environment,this study presents novel encryption with image steganography based data hiding technique(EISDHT)for IIoT *** proposed EIS-DHT technique involves a new quantum black widow optimization(QBWO)to competently choose the pixel values for hiding secrete data in the cover *** addition,the multi-level discrete wavelet transform(DWT)based transformation process takes ***,the secret image is divided into three R,G,and B bands which are then individually encrypted using Blowfish,Twofish,and Lorenz Hyperchaotic *** last,the stego image gets generated by placing the encrypted images into the optimum pixel locations of the cover *** order to validate the enhanced data hiding performance of the EIS-DHT technique,a set of simulation analyses take place and the results are inspected interms of different *** experimental outcomes stated the supremacy of the EIS-DHT technique over the other existing techniques and ensure maximum security.

关键词： IIoT security data hiding technique image steganography encryption secure communication

Fruits and Vegetables Freshness Categorization Using Deep Learning

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Computers, Materials & Continua 2022年第6期71卷 5083-5098页

作者： Labiba Gillani Fahad Syed Fahad Tahir Usama Rasheed Hafsa Saqib Mehdi Hassan hani Alquhayz Department of Computer Science National University of Computer and Emerging SciencesIslamabad44000Pakistan Department of Computer Science Air UniversityIslamabad44000Pakistan Department of Computer Science and Information College of Science in ZulfiMajmaah UniversityAl-Majmaah11952Kingdom of Saudi Arabia

The nutritional value of perishable food items,such as fruits and vegetables,depends on their freshness *** existing approaches solve a binary class problem by classifying a known fruit\vegetable class into fresh or rotten *** propose an automated fruits and vegetables categorization approach that first recognizes the class of object in an image and then categorizes that fruit or vegetable into one of the three categories:purefresh,medium-fresh,and *** gathered a dataset comprising of 60K images of 11 fruits and vegetables,each is further divided into three categories of freshness,using hand-held *** recognition and categorization of fruits and vegetables are performed through two deep learning models:Visual Geometry Group(VGG-16)and You Only Look Once(YOLO),and their results are ***-16 classifies fruits and vegetables and categorizes their freshness,while YOLO also localizes them within the ***,we have developed an android based application that takes the image of the fruit or vegetable as input and returns its class label and its freshness degree.A comprehensive experimental evaluation of proposed approach demonstrates that the proposed approach can achieve a high accuracy and F1score on gathered FruitVeg Freshness *** dataset is publicly available for further evaluation by the research community.

关键词： Fruits and vegetables classification degree of freshness deep learning object detection model VGG-16 YOLO-v5

Optimal Deep Transfer Learning Based Colorectal Cancer Detection and Classification Model

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Computers, Materials & Continua 2023年第2期74卷 3279-3295页

作者： Mahmoud Ragab Maged Mostafa Mahmoud Amer H.Asseri hani Choudhry Haitham A.Yacoub Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Center for Artificial Intelligence in Precision Medicines King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Mathematics Faculty of ScienceAl-Azhar UniversityNaser City11884CairoEgypt Cancer Biology Unit King Fahd Medical Research CenterKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Medical Laboratory Sciences Faculty of Applied Medical SciencesKing Abdulaziz UniversityJeddah22252Saudi Arabia Department of Molecular Genetics and Enzymology Human Genetics and Genome Research InstituteNational Research CentreCairo12622Egypt Biochemistry Department Faculty of ScienceKing Abdulaziz UniversityJeddah21589Saudi Arabia Cell Biology Department Biotechnology Research InstituteNational Research CentreGiza12622Egypt

Colorectal carcinoma(CRC)is one such dispersed cancer globally and also prominent one in causing cancer-based ***,pathologists execute CRC diagnosis through visible scrutinizing under the microscope the resected tissue samples,stained and fixed through Haematoxylin and Eosin(H&E).The advancement of graphical processing systems has resulted in high potentiality for deep learning(DL)techniques in interpretating visual anatomy from high resolution medical *** study develops a slime mould algorithm with deep transfer learning enabled colorectal cancer detection and classification(SMADTL-CCDC)*** presented SMADTL-CCDC technique intends to appropriately recognize the occurrence of colorectal *** accomplish this,the SMADTLCCDC model initially undergoes pre-processing to improve the input image *** addition,a dense-EfficientNet technique was employed to extract feature vectors from the pre-processed ***,SMA with Discrete Hopfield neural network(DHNN)method was applied for the recognition and classification of colorectal *** utilization of SMA assists in appropriately selecting the parameters involved in the DHNN approach.A wide range of experiments was implemented on benchmark datasets to assess the classification performance.A comprehensive comparative study highlighted the better performance of the SMADTL-CDC model over the recent approaches.

关键词： Colorectal cancer deep transfer learning slime mould algorithm hyperparameter optimization biomedical imaging

Antimicrobial properties of dental cements modified with zein-coated magnesium oxide nanoparticles

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Bioactive Materials 2022年第2期7卷 49-56页

作者： Ghada H.Naguib hani M.Nassar Mohamed T.Hamed Department of Restorative Dentistry Faculty of DentistryKing Abdulaziz UniversityJeddahSaudi Arabia Department of Oral Biology Faculty of DentistryCairo UniversityCairoEgypt Department of Oral and Maxillofacial Prosthodontics King Abdulaziz UniversityFaculty of DentistryJeddahSaudi Arabia Department of Fixed Prosthodontics Faculty of DentistryCairo UniversityCairoEgypt

The aim of this study was to test the antimicrobial properties of dental cements modified with magnesium oxide(MgO)***-modified MgO nanoparticles(zMgO)in concentrations(0.0,0.3,0.5,and 1.0%)were mixed with dental cements(Fuji II,Rely X Temp E,Ionoglass Cem,Es Temp NE,and System P link).Eight discs were fabricated from each zMgO-cement pair for a total of 32 specimens for each *** of the dental cements incorporating zMgO was done by X-ray Diffraction(XRD)and Field Emission Scanning Electron Microscopy(FESEM).The antimicrobial properties of the mixtures were tested using direct contact and agar diffusion assays against Streptococcus mutans,Staphylococcus aureus,Enterococcus faecalis,and Candida *** was analyzed using two-way analysis of variance and LSD post hoc test at 0.05 significance *** spectra showed sharp peaks of zMgO indicating its high crystalline nature,while the amorphous dental cements with zMgO had broad *** analysis showed a uniform distribution of the zMgO nanoparticles in the *** were significant inhibition zone values associated with all concentrations of zMgO-cement mixtures tested compared to controls(p<0.001)with a dose-response recorded only with Fuji *** density values were significantly lower in zMgO groups compared to controls for all *** effect was most prominent with Rely X against *** and *** cements containing zMgO showed significant antimicrobial properties that were dependent on the specific initial cement substrate.

关键词： Magnesium oxide nanoparticles Antimicrobial biomaterials Dental cement Nanocoatings