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One-dimensional numerical investigation on multicylinder gasoline engine fueled by micro-emulsions,CNG,and hydrogen in dual fuel mode

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Chinese Journal of Aeronautics 2023年第5期36卷 57-65页

作者： Ufaith QADIRI D.SIVA KRISHNA REDDY Amjad ali PASHA Mohammad IRFAN ALAM Department of Mechanical Engineering Sreenidhi UniversityYamnampetGhatkesar Hyderabad 501301India School of Mechanical Engineering SRM Institute of Science and TechnologyKattankulathurChennai 603203India Aerospace Engineering Department King Abdulaziz UniversityJeddah 21589Saudi Arabia Department of Aerospace Engineering VIT Bhopal UniversitySehore 466665India

This research work is the novel state-of-the-art technology performed on multi-cylinder SI engine fueled compressed natural gas,emulsified fuel,and hydrogen as dual *** work predicts the overall features of performance,combustion,and exhaust emissions of individual fuels based on AVL Boost simulation *** types of alternative fuels have been compared and *** results show that hydrogen produces 20%more brake power than CNG and 25%more power than micro-emulsion fuel at 1500 r/min,which further increases the brake power of hydrogen,CNG,and micro-emulsions in the range of 25%,20%,and 15%at higher engine speeds of 2500-4000 r/min,*** addition,the brake-specific fuel consumption is the lowest for 100%hydrogen,followed by CNG 100%and then micro-emulsions at 1500 r/*** 2500-5000 r/min,there is a significant drop in brake-specific fuel consumption due to a lean mixture at higher engine *** CO,HC,and NOx emissions significantly improve for hydrogen,CNG,and micro-emulsion *** fuel shows zero CO and HC emissions and is the main objective of this research to produce 0%carbon-based emissions with a slight increase in NOx emissions,and CNG shows 30%lower CO emissions than micro-emulsions and 21.5%less hydrocarbon emissions than micro-emulsion fuel at stoichiometric air/fuel ratio.

关键词： CNG Emissions Hydrogen Ignition Micro-emulsions Performance

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Irritable Bowel Syndrome among Medical Students and Interns in King Faisal University

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Open Journal of Preventive Medicine 2017年第11期7卷 235-246页

作者： Wissam Abdullatif Alsuwailm Maryam Munahi AL-Qahtani Anwar Abdullatif AL-Hulaibi Marwah abdulaziz AL-Hadi Wala'a Tawfeeq Busa’ad Sayed Ibrahim ali Somaia Abdelmohsen Shehabeldeen Collage of Medicine KFU Al-Hasa KSA

Background: One of the most highly prevalent costly gastrointestinal disorders is IBS. It is a consequence of emotional conflicts and stress. So people who are in medical education, they have highest percentage of IBS. Objective: To estimate the prevalence of IBS and its effects on the academic achievement among medical students of KFU, Al-Hasa, Saudi Arabia. Methods: A cross-sectional study was carried out among medical students and interns from August 2015 to September 2016 at (KFU) in Al-Hasa, Saudi Arabia. All participants were asked to complete a confidential self-administered questionnaire. Diagnosis of IBS was according to Rome III criteria. Results: 173 medical students completed the survey. The prevalence of IBS was 44.5%, with a high prevalence in females (31.8%). IBS was present significantly higher among students who experience emotional stress in the past 6-month (25.4%) and higher among students with a positive family history of IBS. Moreover, IBS was associated with a decrease in the academic performance among medical students (p Conclusion: The study revealed a high percentage of IBS among medical students and interns in KFU. Female gender, having emotional stress in the past 6 months and family history of IBS were the main predictors of IBS. However, the main predictor of IBS was in family history.

关键词： Irritable Bowel Syndrome Medical Students King Faisal University Saudi Arabia

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Applying Customized Convolutional Neural Network to Kidney Image Volumes for Kidney Disease Detection

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Computer Systems Science & Engineering 2023年第11期47卷 2119-2134页

作者： ali Altalbe Abdul Rehman Javed Department of Computer Science Prince Sattam Bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Electrical and Computer Engineering Lebanese American UniversityByblosLebanon

Kidney infection is a severe medical issue affecting individuals worldwide and increasing mortality *** Kidney Disease(CKD)is treatable during its initial phases but can become irreversible and cause renal *** the various diseases,the most prevalent kidney conditions affecting kidney function are cyst growth,kidney tumors,and *** significant challenge for the medical community is the immediate diagnosis and treatment of kidney *** failure could result from kidney disorders like tumors,stones,and cysts if not often identified and ***-assisted diagnostics are necessary to support clinicians’and specialists’medical assessments due to the rising prevalence of chronic renal illness,the lack of experts,and the rising rates of assessment and monitoring,mainly in developing *** Intelligence(AI)approaches such as machine,and deep learning has been used in literature for kidney disease detection;however,they still lack *** paper implements a deep learning-based Convolutional Neural Network(CNN)model for the classification and prognosis of kidney *** use a benchmark Computed Tomography(CT)kidney dataset for *** data is pre-processed,and then CNN extracts the features from the *** reveal that the proposed approach accurately classifies kidney disease with a considerable accuracy of 0.992%,0.994%precision,0.982%recall,and 0.987%*** study suggests using the proposed fine-tuned CNN model for kidney disease detection.

关键词： Kidney disease convolutional neural network computed tomography feature extraction deep learning machine learning

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Privacy Preserved Brain Disorder Diagnosis Using Federated Learning

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Computer Systems Science & Engineering 2023年第11期47卷 2187-2200页

Federated learning has recently attracted significant attention as a cutting-edge technology that enables Artificial Intelligence(AI)algorithms to utilize global learning across the data of numerous individuals while safeguarding user data *** advanced healthcare technologies have enabled the early diagnosis of various cognitive ailments like Parkinson’*** user data is frequently used to train machine learning models for healthcare systems to track the health status of *** healthcare industry faces two significant challenges:security and privacy issues and the personalization of cloud-trained AI *** paper proposes a Deep Neural Network(DNN)based approach embedded in a federated learning framework to detect and diagnose brain *** extracted the data from the database of Kay Elemetrics voice disordered and divided the data into two windows to create training models for two clients,each with different *** lessen the over-fitting aspect,every client reviewed the outcomes in three *** proposed model identifies brain disorders without jeopardizing privacy and *** results reveal that the global model achieves an accuracy of 82.82%for detecting brain disorders while preserving privacy.

关键词： Privacy preservation brain disorder detection Parkinson’s disease diagnosis federated learning healthcare machine learning

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Propagation of traveling wave solutions to the Vakhnenko-Parkes dynamical equation via modified mathematical methods

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Applied Mathematics(A Journal of Chinese Universities) 2022年第1期37卷 21-34页

作者： Aly R.Seadawy Asghar ali Wafaa A.Albarakati Dumitru Baleanu Mathematics department Faculty of scienceTaibah UniversityAl-Madinah Al-MunawarahSaudi Arabia Mathematics Department University of EducationLahoreMultan CampusPakistan Mathematics Department Faculty of scienceKing Abdulaziz UniversityJeddahSaudi Arabia Department of Mathematics Cankaya UniversityAnkaraTurkey

In this paper, we investigate some new traveling wave solutions to Vakhnenko-Parkes equation via three modified mathematical methods. The derived solutions have been obtained including periodic and solitons solutions in the form of trigonometric, hyperbolic, and rational function solutions. The graphical representations of some solutions by assigning particular values to the parameters under prescribed conditions in each solutions and comparing of solutions with those gained by other authors indicate that these employed techniques are more effective, efficient and applicable mathematical tools for solving nonlinear problems in applied science.

关键词： Vakhnenko-Parkes equation(VPE) generalized direct algebraic method extended simple equation method modified F-expansion method

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Vehicle Detection and Tracking in UAV Imagery via YOLOv3 and Kalman Filter

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Computers, Materials & Continua 2023年第7期76卷 1249-1265页

作者： Shuja ali Ahmad Jalal Mohammed Hamad Alatiyyah Khaled Alnowaiser Jeongmin Park Department of Computer Science Air UniversityIslamabad44000Pakistan Department of Computer Science College of Sciences and Humanities in AflajPrince Sattam Bin Abdulaziz UniversityAl-KharjSaudi Arabia Department of Computer Engineering College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Department of Computer Engineering Tech University of Korea237 Sangidaehak-roSiheung-si15073Gyeonggi-doKorea

Unmanned aerial vehicles(UAVs)can be used to monitor traffic in a variety of settings,including security,traffic surveillance,and traffic *** academics have been drawn to this topic because of the challenges and the large variety of *** paper proposes a new and efficient vehicle detection and tracking system that is based on road extraction and identifying objects on *** is inspired by existing detection systems that comprise stationary data collectors such as induction loops and stationary cameras that have a limited field of view and are not *** goal of this study is to develop a method that first extracts the region of interest(ROI),then finds and tracks the items of *** suggested system is divided into six *** photos from the obtained dataset are appropriately georeferenced to their actual locations in the first phase,after which they are all *** ROI,or road and its objects,are retrieved using the GrabCut method in the second *** third phase entails data *** segmented images’noise is eliminated using Gaussian blur,after which the images are changed to grayscale and forwarded to the following stage for additional morphological *** YOLOv3 algorithm is used in the fourth step to find any automobiles in the *** that,the Kalman filter and centroid tracking are used to perform the tracking of the detected *** Lucas-Kanade method is then used to perform the trajectory analysis on the *** suggested model is put to the test and assessed using the Vehicle Aerial Imaging from Drone(VAID)*** detection and tracking,the model was able to attain accuracy levels of 96.7%and 91.6%,respectively.

关键词： Kalman filter georeferencing object detection object tracking YOLO

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Two-Phase Flow of Blood with Magnetic Dusty Particles in Cylindrical Region: A Caputo Fabrizio Fractional Model

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Computers, Materials & Continua 2021年第3期66卷 2253-2264页

作者： Anees Imitaz Aamina Aamina Farhad ali Ilyas Khan Kottakkaran Sooppy Nisar Department of Mathematics City University of Science and Information TechnologyPeshawar25000Pakistan Computational Analysis Research Group Ton Duc Thang UniversityHo Chi Minh CityVietnam Faculty of Mathematics and Statistics Ton Duc Thang UniversityHo Chi Minh CityVietnam Department of Mathematics College of Science Al-ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Mathematics College of Arts and SciencesPrince Sattam bin Abdulaziz UniversityWadi Aldawaser11991Saudi Arabia

The present study is focused on the unsteady two-phase flow of blood in a cylindrical *** is taken as a counter-example of Brinkman type fluid containing magnetic(dust)*** oscillating pressure gradient has been considered because for blood flow it is necessary to investigate in the form of a diastolic and systolic *** transverse magnetic field has been applied externally to the cylindrical tube to study its impact on both fluids as well as *** system of derived governing equations based on Navier Stoke’s,Maxwell and heat equations has been generalized using the well-known Caputo–Fabrizio(C–F)fractional *** considered fractional model has been solved analytically using the joint Laplace and Hankel(L&H)*** effect of various physical parameters such as fractional parameter,Gr,M andγ on blood and magnetic particles has been shown graphically using the Mathcad *** fluid behaviour is thinner in fractional order as compared to the classical one.

关键词： Two-phase blood flow dusty fluid Brinkman type model magnetic dusty particles heat transfer C-F derivative

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Einstein Weighted Geometric Operator for Pythagorean Fuzzy Hypersoft with Its Application in Material Selection

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Computer Modeling in Engineering & Sciences 2023年第6期135卷 2557-2583页

作者： Rana Muhammad Zulqarnain Imran Siddique Rifaqat ali Fahd Jarad Aiyared Iampan Department of Mathematics Zhejiang Normal UniversityJinhuaChina Department of Mathematics University of Management and TechnologyLahorePakistan Department of Mathematics College of Science and ArtsMuhayilKing Khalid UniversityAbhaSaudi Arabia Department of Mathematics Cankaya UniversityEtimesgutAnkaraTurkey Department of Mathematics King Abdulaziz UniversityJeddahSaudi Arabia Department of Medical Research China Medical University HospitalChina Medical UniversityTaichungTaiwan Department of Mathematics School of ScienceUniversity of PhayaoMae KaMueangPhayaoThailand

Hypersoft set theory is a most advanced form of soft set theory and an innovative mathematical tool for dealing with unclear *** fuzzy hypersoft set(PFHSS)is the most influential and capable leeway of the hypersoft set(HSS)and Pythagorean fuzzy soft set(PFSS).It is also a general form of the intuitionistic fuzzy hypersoft set(IFHSS),which provides a better and more perfect assessment of the decision-making(DM)*** fundamental objective of this work is to enrich the precision of decision-making.A novel mixed aggregation operator called Pythagorean fuzzy hypersoft Einstein weighted geometric(PFHSEWG)based on Einstein’s operational laws has been *** necessary properties,such as idempotency,boundedness,and homogeneity,have been presented for the anticipated PFHSEWG ***-criteria decision-making(MCDM)plays an active role in dealing with the complications of manufacturing design for material ***,conventional methods of MCDM usually produce inconsistent *** on the proposed PFHSEWG operator,a robust MCDM procedure for material selection in manufacturing design is planned to address these *** expected MCDM method for material selection(MS)of cryogenic storing vessels has been established in the real ***,the planned model for handling inaccurate data based on PFHSS is more operative and consistent.

关键词： Pythagorean fuzzy soft set Pythagorean fuzzy hypersoft set Pythagorean fuzzy hypersoft Einstein weighted geometric operator(PFHSEWG) MCDM

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Peristaltic flow of couple stress fluid through uniform porous medium

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Applied Mathematics and Mechanics(English Edition) 2014年第4期35卷 469-480页

作者： A.ALSAEDI N.ali D.TRIPATHI T.HAYAT Nonlinear Analysis and Applied Mathematics (NAAM) Research Group Faculty of ScienceKing Abdulaziz University Department of Mathematics & Statistics International Islamic University Department of Applied Mathematics IT-BHU Department of Mathematics Quaid-i-Azam University

Investigation concerning peristaltic motion of couple stress fluid is made. An incompressible couple stress fluid occupies the porous medium. Mathematical anal- ysis is presented through large wavelength and low Reynolds number. Exact analytical expressions of axial velocity, volume flow rate, pressure gradient, and stream function are calculated as a function of couple stress parameter. The essential feature of the analysis is a full description of influence of couple stress parameter and permeability parameter on the pressure, frictional force, mechanical efficiency, and trapping.

关键词： peristalsis couple stress fluid porous medium mechanical efficiency,trapping

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Blockchain-as-a-Utility for Next-Generation Healthcare Internet of Things

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Computers, Materials & Continua 2021年第7期68卷 359-376页

作者： Alaa Omran Almagrabi Rashid ali Daniyal Alghazzawi Abdullah AlBarakati Tahir Khurshaid Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia School of Intelligent Mechatronics Engineering Sejong UniversitySeoul05006Korea Department of Electrical Engineering Yeungnam UniversityGyeongsan38541Korea

The scope of the Internet of Things(IoT)applications varies from strategic applications,such as smart grids,smart transportation,smart security,and smart healthcare,to industrial applications such as smart manufacturing,smart logistics,smart banking,and smart *** the advancement of the IoT,connected devices become smart and intelligent with the help of sensors and ***,issues and challenges need to be addressed regarding the data reliability and protection for signicant nextgeneration IoT applications like smart *** these next-generation applications,there is a requirement for far-reaching privacy and security in the ***,blockchain systems have emerged as a key technology that changes the way we exchange *** emerging technology has revealed encouraging implementation scenarios,such as secured digital *** a technical advancement,the blockchain network has the high possibility of transforming various industries,and the next-generation healthcare IoT(HIoT)can be one of those *** have been several studies on the integration of blockchain networks and ***,blockchain-as-autility(BaaU)for privacy and security in HIoT systems requires a systematic *** paper reviews blockchain networks and proposes BaaU as one of the *** proposed BaaU-based framework for trustworthiness in the next-generation HIoT systems is divided into two *** rst scenario suggests that a healthcare service provider integrates IoT sensors such as body sensors to receive and transmit information to a blockchain network on the IoT *** second proposed scenario recommends implementing smart contracts,such as Ethereum,to automate and control the trusted devices’subscription in the HIoT services.

关键词： blockchain next-generation IoT privacy and security healthcare IoT complex healthcare applications

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