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An Optimized Algorithm for Renewable Energy Forecasting Based on machine Learning

Intelligent Automation & Soft Computing 2023年第1期35卷 755-767页

作者： Ziad m.Ali ahmed m.Galal Salem Alkhalaf Imran Khan College of Engineering at Wadi Addawaser Prince Sattam bin Abdulaziz UniversityWadi Aldawaser11991Saudi Arabia Electrical Engineering Department Aswan Faculty of EngineeringAswan UniversityAswan81542Egypt Production Engineering and mechanical Design Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer College of Science and Arts in Ar RassQassim UniversityAr RassSaudi Arabia Department of Electrical Engineering University of Engineering and TechnologyPeshawar814Pakistan

The large-scale application of renewable energy power generation technology brings new challenges to the operation of traditional power grids andenergy management on the load side. microgrid can effectively solve this problemby using its regulation and flexibility, and is considered to be an ideal *** traditional method of computing total transfer capability is difficult due tothe central integration of wind farms. As a result, the differential evolutionextreme learning machine is offered as a data mining approach for extractingoperating rules for the total transfer capability of tie-lines in wind-integratedpower systems. K-medoids clustering under the two-dimensional “wind power-load consumption” feature space is used to define representative operational scenarios initially. Then, using stochastic sampling and repetitive power flow, aknowledge base for total transfer capability operating rule mining is ***, a novel method is used to filter redundant characteristics and find featuresthat are closely associated to the total transfer capability in order to decrease theultra-high dimensionality of operational features. Finally, by feeding the trainingdata into the proposed algorithm, the total transfer capability operation rules arederived from the knowledge base. It can be seen that, the proposed algorithmcan optimize the system performance with good accuracy and generality, according to numerical data.

关键词： Load forecasting distribution network machine learning renewable energy

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A Novel Fusion System Based on Iris and Ear Biometrics for E-exams

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Intelligent Automation & Soft Computing 2023年第3期35卷 3295-3315页

作者： S.A.Shaban Hosnia m.m.ahmed D.L.Elsheweikh Department of Computer Science Faculty of Specific EducationMansoura UniversityEgypt

With the rapid spread of the coronavirus epidemic all over the world,educational and other institutions are heading towards *** the era of digitization,identifying educational e-platform users using ear and iris based multi-modal biometric systems constitutes an urgent and interesting research topic to pre-serve enterprise security,particularly with wearing a face mask as a precaution against the new coronavirus *** study proposes a multimodal system based on ear and iris biometrics at the feature fusion level to identify students in electronic examinations(E-exams)during the COVID-19 *** proposed system comprises four ***ﬁrst step is image preprocessing,which includes enhancing,segmenting,and extracting the regions of *** second step is feature extraction,where the Haralick texture and shape methods are used to extract the features of ear images,whereas Tamura texture and color histogram methods are used to extract the features of iris *** third step is feature fusion,where the extracted features of the ear and iris images are combined into one sequential fused *** fourth step is the matching,which is executed using the City Block Dis-tance(CTB)for student identiﬁ***ﬁndings of the study indicate that the system’s recognition accuracy is 97%,with a 2%False Acceptance Rate(FAR),a 4%False Rejection Rate(FRR),a 94%Correct Recognition Rate(CRR),and a 96%Genuine Acceptance Rate(GAR).In addition,the proposed recognition sys-tem achieved higher accuracy than other related systems.

关键词： City block distance(CTB) Covid-19 ear biometric e-exams feature-level fusion iris biometric multimodal biometric student’s identity

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URL Phishing Detection Using Particle Swarm Optimization and Data mining

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Computers, materials & Continua 2022年第12期73卷 5625-5640页

作者： Saeed m.Alshahrani Nayyar ahmed Khan Jameel Almalki Waleed Al Shehri College of Computing and IT-Shaqra University Shaqra155572Saudi Arabia Department of Computer Science College of Computer in Al-LeithUmm Al-Qura UniversityMakkahSaudi Arabia

The continuous destruction and frauds prevailing due to phishing URLs make it an indispensable area for *** techniques are adopted in the detection process,including neural networks,machine learning,or hybrid techniques.A novel detection model is proposed that uses data mining with the Particle Swarm Optimization technique(PSO)to increase and empower the method of detecting phishing *** selection based on various techniques to identify the phishing candidates from the URL is *** this approach,the features mined from the URL are extracted using data mining *** features are selected on the basis of URL *** classification of these features identified by the data mining rules is done using PSO *** selection of features with PSO optimization makes it possible to identify phishing *** a large number of rule identifiers,the true positive rate for the identification of phishing URLs is maximized in this *** experiments show that feature selection using data mining and particle swarm optimization helps tremendously identify the phishing URLs based on the structure of the URL ***,it can minimize processing time for identifying the phishing website ***,the approach can be beneficial to identify suchURLs over the existing contemporary detecting models proposed before.

关键词： Phishing particle swarm optimization feature selection data mining classification cloud application

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Amino Acid Encryption method Using Genetic Algorithm for Key Generation

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Computers, materials & Continua 2022年第1期70卷 123-134页

作者： ahmed S.Sakr m.Y.Shams Amena mahmoud mohammed Zidan Department of Information System Faculty of Computers and InformationMenofia UniversityEgypt Department of machine learning and Information Retrieval Faculty of Artificial IntelligenceKafrelsheikh UniversityEgypt Department of Computer Science Faculty of Computers and InformationKafrelshiekh UniversityEgypt Hurghada Faculty of Computers and Artificial Intelligence South Valley UniversityEgypt

In this new information era,the transfer of data and information has become a very important *** data must be kept secured from unauthorized persons using *** science of cryptography depends not only on complex mathematical models but also on encryption *** acid encryption is a promising model for data *** this paper,we propose an amino acid encryption model with two encryption *** first key is generated randomly using the genetic *** second key is called the protein key which is generated from converting DNA to a protein ***,the protein message and the first key are used in the modified Playfair matrix to generate the cypher *** experimental results show that the proposed model survives against known attacks such as the Brute-force attack and the Ciphertext-only *** addition,the proposed model has been tested over different types of characters including white spaces and special characters,as all the data is encoded to 8-bit *** performance of the proposed model is compared with other models using encryption time and decryption *** model also balances all three principles in the CIA triad.

关键词： Cryptography amino acid genetic algorithm playfair deep learning DNA computing

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IomT-Based Smart Healthcare of Elderly People Using Deep Extreme Learning machine

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Computers, materials & Continua 2023年第7期76卷 19-33页

作者： muath Jarrah Hussam Al Hamadi ahmed Abu-Khadrah Taher m.Ghazal School of Information Technology Skyline University CollegeUniversity City Sharjah1797SharjahUAE College of Computing and Informatics Saudi Electronic UniversityRiyadh11673Saudi Arabia Center for Cyber Security Faculty of Information Science and TechnologyUniversity Kebangsaan Malaysia(UKM)43600BangiSelangorMalaysia Center for Cyber-Physical Systems Khalifa University127788Abu DhabiUAE

The Internet of medical Things(IomT)enables digital devices to gather,infer,and broadcast health data via the cloud *** phenomenal growth of the IomT is fueled by many factors,including the widespread and growing availability of wearables and the ever-decreasing cost of sensor-based *** is a growing interest in providing solutions for elderly people living assistance in a world where the population is rising *** IomT is a novel reality transforming our daily *** can renovate modern healthcare by delivering a more personalized,protective,and collaborative approach to ***,the current healthcare system for outdoor senior citizens faces new *** healthcare systems are inefficient and lack user-friendly technologies and interfaces appropriate for elderly people in an outdoor ***,in this research work,a IomT based Smart Healthcare of Elderly people using Deep Extreme Learning machine(SH-EDELm)is proposed to monitor the senior citizens’*** performance of the proposed SH-EDELm technique gives better results in terms of 0.9301 accuracy and 0.0699 miss rate,respectively.

关键词： ICT mL FN DELm SH-EDELm

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Choroidal thickness measurements in young Saudi adult population: a cross-sectional study

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International Journal of Ophthalmology(English edition) 2023年第11期16卷 1814-1819页

作者： mohammed m Althomali ahmed A Alharbi Nouf m Albnayan Abdulaziz m Alkhudhair muteb K Alanazi Optometry Department College of Applied Medical SciencesKing Saud UniversityRiyadh 11362Saudi Arabia

AIm:To determine the choroidal thickness(CT)in young healthy Saudi adults using spectral-domain optical coherence tomography(SD-OCT)with an automated CT segmentation ***:Fifty-eight young adults(total of 116 eyes),39 males and 19 females participated in this study between the ages of 18 and 38y(mean 22.65±3.9y).All participants underwent ophthalmic screening examination,including the SD-OCT for measurements of CT in each quadrant egmented into five eccentric regions starting from the foveal region up to 4.5 mm towards the ***:The choroid was thickest in the foveal region(central 1 mm,300±60μm)and began to progressively thinner beyond the parafovea(1.5–2.5 mm,284±67μm)towards the peripheral region(3.5–4.5 mm from the fovea,254±83μm).The superior choroid showed the thickest profile(309±57μm),while the nasal choroid exhibited the thinnest(229±76μm).The rate of the thinning with increasing eccentricity was more predominant in the nasal choroid,which thinned from the foveal region(294±58μm)to the peripheral region(158±55μm).The superior and inferior choroid did not show a statistically significant thinning with eccentricity(all P>0.05).There was no statistically significant difference in the CT between gender,age,and laterality of the eyes(all P>0.05).A significant association of myopia with thinner subfoveal choroid was observed(Pearson’s,r=0.37),and regression analysis showed that a 10.3μm choroidal thinning for each diopter increase of ***:CT profile depends on eccentric and the *** CT profile across the measured area in the young Saudi adult population is comparable to other previous *** error is critical for CT evaluation.

关键词： choroidal thickness optical coherence tomography young adults Saudi population

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Community microgrid:an approach towards positive energy community in an urban area of Dhaka,Bangladesh

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Clean Energy 2023年第4期7卷 926-939页

作者： mohammad Zeyad S.m.masum ahmed Sayeed Hasan Dewan mahnaaz mahmud Energy and Technology Research Division Advanced BioinformaticsComputational Biology and Data Science LaboratoryBangladesh(ABCD LaboratoryBangladesh)House:24Road:01Block:BHalishaharChattogram 4226Bangladesh School of Engineering and Physical Sciences(EPS) Heriot-Watt UniversityCampus The AvenueEdinburghScotland EH144ASUK Department of Energy Engineering University of the Basque Country(UPV/EHU)Ingeniero Torres Quevedo Plaza1BilbaoBiscay 48013Spain Department of Electrical Electronic and Control EngineeringSchool of Industrial EngineeringUniversity of ExtremaduraCampus UniversitarioAv.de Elvass/nBadajozBadajoz 06006Spain Centre for Research on Geography ResourcesEnvironmentEnergy and Networks(Green)Bocconi UniversityVia Roentgen 1MilanoLombardy 20136Italy Control and Robotics(CORO) Ecole Centrale De Nantes1 Rue de la No?44300 NantesFrance

The pollution and toxic greenhouse gases produced by fossil fuel combustion are troubling as global energy demand continues to *** mitigate the consequences of global warming,a transition to sustainable energy sources is *** manuscript presents a feasible community microgrid design in Hazaribagh,Dhaka based on meteorological data that leads to photovoltaic installation on the rooftop of a local community *** study shows a microgrid design of a system with the lowest cost of energy and a large renewable fraction,which is analysed using the HOmER Pro *** real-time data,analysis of the system cost,cost of energy,renewable fraction,unmet load,energy purchased and energy sold is discussed.A suitable case for electrification is also identified and presented for the selected *** proposed case yields a cost of energy of$0.0357/kWh,which is 52%less than the current tariff rate,with a 70%renewable *** study will provide people in this community with more green energy at a lower cost;in addition,this designed microgrid sells additional energy to the grid to avoid possible power *** potential for a positive energy community is also investigated in terms of energy consumption and renewable output of the planned microgrid.

关键词： cost of energy microgrid positive energy community renewable fraction

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Prediction of pressure gradient and hold-up in horizontal liquid-liquid pipe flow

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Petroleum Science 2023年第6期20卷 3766-3782页

作者： Syed Amjad ahmed Bibin John School of mechanical Engineering Vellore Institute of TechnologyIndia Department of mechanical Engineering C Abdul Hakeem College of Engineering&TechnologyIndia

This paper aims to propose correlations to predict pressure gradient,friction factor and fluid phase hold-up in liquid-liquid horizontal pipe *** develop the correlations,experiments are conducted using high viscous oils(202 and 630 mPa⋅s)in a steel pipe of length 11.25 m and length-to-diameter ratio of *** addition,the experimental data from the literature comprising wide range of flow and fluid properties is *** the analysis,the liquid-liquid pipe flow data is categorized into two as:stratified and *** existing friction factor correlations are modified to incorporate the effects of viscosity of the oil phase,interfacial curvature(contact/wetting angle-in lieu of material of the pipe)and fluid phase *** the two-fluid model of stratified flow,the wall stress and interfacial stress correlations are substituted with superficial velocities of fluids and superficial Reynolds numbers of fluid phases replacing fluid phase velocities and fluid Reynolds ***,for dispersed flow,an effective Reynolds number is described as the sum of superficial Reynolds number of oil and water *** the generally employed mean or mixture Reynolds number with the effective Reynolds number into the existing single-phase turbulent flow friction factor correlation,an effective friction factor for oil-water flow is *** the proposed correlations,the pressure gradient across the oil-water flow and hold-up volume fraction are predicted with significant reduction in error compared with that of conventionally employed *** average error and standard deviation values of−7.06%,20.72%and 0.31%,18.79%are found for stratified flow and dispersed flow respectively.

关键词： oil-water flow two-fluid model pressure gradient stratified flow dispersed flow

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Rheology and lubricity characteristics study at different temperatures using synthesized SnO_(2) nanoparticles in KCl free bentonite water base mud

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Petroleum Research 2023年第4期8卷 541-549页

作者： A.B.m.Ariful Bari Khandaker Nayem ahmed md Saiful Alam Department of Petroleum and mining Engineering Shahjalal University of Science and TechnologySylhet3114Bangladesh Department of Petroleum and mining Engineering Jashore University of Science and TechnologyJashore7408Bangladesh

Drilling mud is a major concerning element due to its high operational and economic impact on the drilling *** additives are introduced to enhance the efficiency of drilling fluid,but none of them could perfectly achieve their proposed efficacy in drilling *** conceived several nanoparticles(NPs)in drilling fluid to dissolve this *** a singular instance,commercial tin oxide(SnO_(2))nanoparticles were utilized to analyze the influence of NPs on the rheological and filtration properties of inorganic KCl salt-based drilling ***,the effect of SnO_(2) NPs on mud lubricity characteristics is not studied ***,due to the hazardous behavior of KCl,its use is very ***,we consider a KCl-free bentonite water-based mud to avoid any environmental damages from drilling *** also use SnO_(2) NPs that is synthesized in our laboratory by co-precipitation *** addition to rheological and filtration properties,we also investigate the effect of NPs on mud's lubricity that was not considered in the previous *** fluid properties are measured at five different NPs concentrations of 0.10,0.25,0.50,0.75&1.0 wt%,and at six different temperatures of 30,40,50,60,70,and 80°C,while filtration properties are measured using API low-pressure low temperature(LPLT)*** addition of 0.1 wt%SnO_(2) NPs increases plastic viscosity,yield point,10 s gel strength,and 10 min gel strength by 10%,63%,20%,and 14%,*** maximum reduction in lubricity coefficient is found to be 14%at NPs concentration of 1.0 wt%.The NPs concentration of 0.5 wt%yielded a reduction in fluid loss and mud cake thickness by 8.1%and 34%,*** study suggests that SnO_(2) NPs can be employed as an additive to improve the rheology,lubricity,and filtration properties of KCl-free bentonite water-based drilling mud.

关键词： mud Rheology Lubricity Tin oxide Nanoparticles KCl

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Spatiotemporal variation and mechanisms of temperature inversion in the Bay of Bengal and the eastern equatorial Indian Ocean

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Acta Oceanologica Sinica 2022年第4期41卷 23-39页

作者： K m Azam Chowdhury Wensheng Jiang Guimei Liu md Kawser ahmed Shaila Akhter College of Oceanic and Atmospheric Sciences Ocean University of ChinaQingdao 266100China KeyLab of marine Environment and Ecology of ministry of Education Ocean University of ChinaQingdao 266100China Department of Oceanography&International Centre for Ocean Governance(ICOG) University of DhakaDhaka 1000Bangladesh National marine Environmental Forecasting Center Beijing 100081China

In the northern Bay of Bengal,the existence of intense temperature inversion during winter is a widely accepted ***,occurrences of temperature inversion during other seasons and the spatial distribution within and adjacent to the Bay of Bengal are not well *** this study,a higher resolution spatiotemporal variation of temperature inversion and its mechanisms are examined with mixed layer heat and salt budget analysis utilizing long-term Argo(2004 to 2020)and RAmA(2007 to 2020)profiles data in the Bay of Bengal and eastern equatorial Indian Ocean(EEIO).Temperature inversion exists(17.5%of the total 39293 Argo and 51.6%of the 28894 RAmA profiles)throughout the year in the entire study *** shows strong seasonal variation,with the highest occurrences in winter and the lowest in *** winter inversion in the northern Bay of Bengal,two other regions with frequent temperature inversion are identified in this study for the first time:the northeastern part of the Bay of Bengal and the eastern part of the EEIO during summer and *** processes of temperature inversion for different subregions are revealed in the current *** of heat(mean~25 W/m;)below the haline-stratified shallow mixed layer leads to a relatively warmer subsurface layer along with the simultaneous cooling tendency in mixed layer,which controls more occurrence of temperature inversion in the northern Bay of Bengal throughout the *** lower cooling tendency due to net surface heat loss and higher mixed layer salinity leaves the southern part of the bay less supportive to the formation of temperature inversion than the northern *** the EEIO,slightly cooling tendency in the mixed layer along with the subduction of warm-salty Arabian Sea water beneath the cold-fresher Bay of Bengal water,and downwelling of thermocline creates a favorable environment for forming temperature inversion mainly during summer and *** isothermal layer

关键词： temperature inversion Bay of Bengal Argo and RAmA data intrusion of the Arabian Sea water eastern equatorial Indian Ocean penetrative heat below mixed layer depth

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