检索结果-南通市图书馆

Wind Turbine Efficiency Under Altitude Consideration Using an Improved Particle Swarm Framework

Computers, Materials & Continua 2022年第12期73卷 4981-4994页

作者： Haykel Marouani Fahad Awjah Almehmadi Rihem Farkh habib dhahri Department of Applied Mechanical Engineering College of Applied EngineeringMuzahimiyah BranchKing Saud UniversityP.O.BOX 800Riyadh11421Saudi Arabia Department of Applied Electrical Engineering College of Applied EngineeringMuzahimiyah BranchKing Saud UniversityP.O.BOX 800Riyadh11421Saudi Arabia Department of Information Science College of Applied Computer SciencesMuzahimiyah BranchKing Saud UniversityP.O.BOX 800Riyadh11421Saudi Arabia

In this work,the concepts of particle swarm optimization-based method,named non-Gaussian improved particle swarm optimization for minimizing the cost of energy(COE)of wind turbines(WTs)on high-altitude sites are *** the COE depends on site specification constants and initialized parameters of wind turbine,the focus was on the design optimization of rotor radius,hub height and rated *** on literature,the COE is converted to the Saudi Arabia ***,the constrained wind turbine optimization problem is ***,non-Gaussian improved particle swarm optimization is provided and compared with the conventional particle swarm optimization for solving the optimization design in wind turbine efficiency under different altitudes ranging from 2500 to 4000 *** results show that as altitude rises,the optimal rotor radius grows,but the optimal hub height and rated power drop,resulting in an increase in ***,the non-Gaussian method display a faster convergence compared to the classical particle swarm *** findings will be useful as a reference for wind turbine design at high ***,it could be employed to optimize the initialized parameter of wind turbine for the planned and largest wind farm in Saudi Arabia in Dumat Al-Jandal selected site.

关键词： Wind turbine high altitude energy cost particle swarm optimization Levy distribution

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Automatic Detection of COVID-19 Using a Stacked Denoising Convolutional Autoencoder

引用

Computers, Materials & Continua 2021年第12期69卷 3259-3274页

作者： habib dhahri Besma Rabhi Slaheddine Chelbi Omar Almutiry Awais Mahmood Adel M.Alimi College of Applied Computer Sciences(CACS) King Saud UniversityRiyadh11543Saudi Arabia Faculty of Sciences and Technology of Sidi Bouzid University of KairouanKairouanTunisia National School of Engineers(ENIS) University of SfaxTunisia Department of Computer Sciences College of Sciences and Arts in UnaizahQassim UniversityAl-QassimKingdom of Saudi Arabia

The exponential increase in new coronavirus disease 2019(COVID-19)cases and deaths has made COVID-19 the leading cause of death in many ***,in this study,we propose an efficient technique for the automatic detection of COVID-19 and pneumonia based on X-ray images.A stacked denoising convolutional autoencoder(SDCA)model was proposed to classify X-ray images into three classes:normal,pneumonia,and *** SDCA model was used to obtain a good representation of the input data and extract the relevant features from noisy *** proposed model’s architecture mainly composed of eight autoencoders,which were fed to two dense layers and SoftMax *** proposed model was evaluated with 6356 images from the datasets from different *** experiments and evaluation of the proposed model were applied to an 80/20 training/validation split and for five cross-validation data splitting,*** metrics used for the SDCA model were the classification accuracy,precision,sensitivity,and specificity for both *** results demonstrated the superiority of the proposed model in classifying X-ray images with high accuracy of 96.8%.Therefore,this model can help physicians accelerate COVID-19 diagnosis.

关键词： Stacked autoencoder augmentation multiclassification COVID-19 convolutional neural network

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

ExpressionHash: Securing Telecare Medical Information Systems Using BioHashing

引用

Computers, Materials & Continua 2021年第6期67卷 2747-2764页

作者： Ayesha Riaz Naveed Riaz Awais Mahmood Sajid Ali Khan Imran Mahmood Omar Almutiry habib dhahri SEECS National University of Science and TechnologyIslamabadPakistan College of Applied Computer Science King Saud University(Almuzahmiyah Campus)RiyadhSaudi Arabia Department of Software Engineering Foundation University IslamabadPakistan

The COVID-19 outbreak and its medical distancing phenomenon have effectively turned the global healthcare challenge into an opportunity for Telecare Medical Information *** systems employ the latest mobile and digital technologies and provide several advantages like minimal physical contact between patient and healthcare provider,easy mobility,easy access,consistent patient engagement,and *** leakage or unauthorized access to users’medical data can have serious consequences for any medical information *** majority of such systems thus rely on biometrics for authenticated access but biometric systems are also prone to a variety of attacks like spoong,replay,Masquerade,and stealing of stored *** this article,we propose a new cancelable biometric approach which has tentatively been named as“Expression Hash”for Telecare Medical Information *** idea is to hash the expression templates with a set of pseudo-random keys which would provide a unique code(expression hash).This code can then be serving as a template for *** expressions would result in different sets of expression hash codes,which could be used in different applications and for different roles of each *** templates are stored on the server-side and the processing is also performed on the *** proposed technique is a multi-factor authentication system and provides advantages like enhanced privacy and security without the need for multiple biometric *** the case of compromise,the existing code can be revoked and can be directly replaced by a new set of expression hash *** well-known JAFFE(The Japanese Female Facial Expression)dataset has been for empirical testing and the results advocate for the efcacy of the proposed approach.

关键词： Biometrics TMIS biohashing multifactor authentication medical information system

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

A Novel Framework for Multi-Classification of Guava Disease

引用

Computers, Materials & Continua 2021年第11期69卷 1915-1926页

作者： Omar Almutiry Muhammad Ayaz Tariq Sadad Ikram Ullah Lali Awais Mahmood Najam Ul Hassan habib dhahri College of Applied Computer Sciences King Saud University(Almuzahmiyah Branch)Riyadh11564KSA Department of Computer Science University of Central PunjabLahore54000Pakistan Department of CS&SE International Islamic UniversityIslamabad44000Pakistan Division of Science and Technology University of EducationLahore54000Pakistan Department of Electrical and Computer Engineering Dhofar UniversitySalalahOman

Guava is one of the most important fruits in Pakistan,and is gradually boosting the economy of *** production can be interrupted due to different diseases,such as anthracnose,algal spot,fruit fly,styler end rot and *** diseases are usually detected and identified by visual observation,thus automatic detection is required to assist *** this research,a new technique was created to detect guava plant diseases using image processing techniques and computer *** automated system is developed to support farmers to identify major diseases in *** collected healthy and unhealthy images of different guava diseases from the *** image labeling was done with the help of an expert to differentiate between healthy and unhealthy *** local binary pattern(LBP)was used for the extraction of features,and principal component analysis(PCA)was used for dimensionality *** classification was carried out using multiple classifiers,including cubic support vector machine,Fine K-nearest neighbor(F-KNN),Bagged Tree and RUSBoosted Tree algorithms and achieved 100%accuracy for the diagnosis of fruit flies disease using Bagged ***,the findings indicated that cubic support vector machines(C-SVM)was the best classifier for all guava disease mentioned in the dataset.

关键词： Classification guava disease image processing machine learning

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Hybrid Evolutionary Algorithm Based Relevance Feedback Approach for Image Retrieval

引用

Computers, Materials & Continua 2022年第1期70卷 963-979页

作者： Awais Mahmood Muhammad Imran Aun Irtaza Qammar Abbas habib dhahri Esam Mohammed Asem Othman Arif Jamal Malik Aaqif Afzaal Abbasi College of Applied Computer Science King Saud University(Almuzahmiyah Campus)Riyadh11543Saudi Arabia Shaheed Zulfikar Ali Bhutto Institute of Science and Technology(Islamabad Campus) 44000Pakistan University of Engineering and Technology Taxila Pakistan International Islamic University Islamabad44000Pakistan Faculty of Sciences and Technology University of KairouanSidi Bouzid4352Tunisia Department of Software Engineering Foundation University IslamabadIslamabad44000Pakistan

Searching images fromthe large image databases is one of the potential research areas of multimedia *** most challenging task for nay CBIR system is to capture the high level semantic of *** researchers of multimedia domain are trying to fix this issue with the help of Relevance Feedback(RF).However existing RF based approaches needs a number of iteration to fulfill user’s *** paper proposed a novel methodology to achieve better results in early iteration to reduce the user interaction with the *** previous research work it is reported that SVM based RF approach generating better results for ***,this paper focused on SVM based RF *** enhance the performance of SVM based RF approach this research work applied Particle Swarm Optimization(PSO)and Genetic Algorithm(GA)before applying SVM on user *** main objective of using thesemeta-heuristic was to increase the positive image sample size from *** steps PSO is applied by incorporating the user feedback and secondly GA is applied on the result generated through PSO,finally SVM is applied using the positive sample generated through *** proposed technique is named as Particle Swarm Optimization Genetic Algorithm-Support Vector Machine Relevance Feedback(PSO-G A-SVMRF).Precisions,recall and F-score are used as performance metrics for the assessment and validation of PSO-GA-SVM-RF approach and experiments are conducted on coral image dataset having 10908 *** experimental results it is proved that PSO-GA-SVM-RF approach outperformed then various well known CBIR approaches.

关键词： Feature selection image retrieval particle swarm optimization

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Turbulent boundary layers and hydrodynamic flow analysis of nanofluids over a plate

引用

Journal of Central South University 2021年第11期28卷 3340-3353页

作者： AOUINET Hana dhahri Maher SAFAEI Mohammad Reza SAMMOUDA habib ANQI Ali E. Higher Private School of Engineering and Applied Technology(IHE-ESPITA) SousseTunisia Laboratory of Energy and Materials(LabEM)(LR11ES34) High School of Sciences and Technology of Hammam SousseSousse UniversityBP 4011Hammam SousseTunisia Department of Medical Research China Medical University HospitalChina Medical UniversityTaiwanChina Mechanical Engineering Department Faculty of EngineeringKing Abdulaziz UniversityJeddahSaudi Arabia Department of Mechanical Engineering College of EngineeringKing Khalid UniversityAbha 61421Saudi Arabia Research Center for Advanced Materials Science(RCAMS) King Khalid UniversityAbhaSaudi Arabia

A numerical analysis of the log-law behavior for the turbulent boundary layer of a wall-bounded flow is performed over a flat plate immersed in three nanofluids(Zn O-water,SiO_(2)-water,TiO_(2)-water).Numerical simulations using CFD code are employed to investigate the boundary layer and the hydrodynamic *** validate the current numerical model,measurement points from published works were used,and the compared results were in good *** were carried out for the velocity series of 0.04,0.4 and 4 m/s and nanoparticle concentrations0.1% and 5%.The influence of nanoparticles’ concentration on velocity,temperature profiles,wall shear stress,and turbulent intensity was *** obtained results showed that the viscous sub-layer,the buffer layer,and the loglaw layer along the potential-flow layer could be analyzed based on their curving quality in the regions which have just a single wall *** was seen that the viscous sub-layer is the biggest area in comparison with other ***,the section where the temperature changes considerably correspond to the thermal boundary layer’s thickness goes a downward trend when the velocity *** thermal boundary layer gets deep away from the leading ***,a rise in the volume fraction of nanoparticles indicated a minor impact on the shear stress developed in the *** all cases,the thickness of the boundary layer undergoes a downward trend as the velocity increases,whereas increasing the nanoparticle concentrations would enhance the *** precisely,the log layer is closed with log law,and it is minimal between Y^(+)=50 and Y^(+)=*** temperature for nanoparticle concentration φ=5%is higher than that for φ=0.1%,in boundary layers,for all studied ***,it is established that the behavior is inverted from the value of Y^(+)=1 and the temperature for φ =0.1% is more important than the case of φ =5%.For turbulence intensity peak,this peak exists at Y^(+)

关键词： turbulent boundary layers nanofluids hydrodynamic flow wall shear stress turbulent intensity

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：