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Numerical Examination of a Cavity Containing Nanofluid with an Upper Oscillating Wall and Baffle

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Frontiers in heat and Mass Transfer 2024年第2期22卷 557-581页

作者： Kadhum Audaa Jehhef Ali J.Ali Salah h.Abid Aun Akram h.abed Middle Technical University Technical Engineering CollegeBaghdadIraq Department of Biomedical Engineering University of TechnologyBaghdadIraq Department of Electromechanical Engineering University of TechnologyBaghdadIraq

The cavity with lid-driven is greatly used in mixing,coating,and drying applications and is a substantial issue in the study of thermal performance rate and fluid field.A numerical approach is presented to study the thermal distribution and passage of fluid in a lid-driven cavity with an upper oscillating surface and an attached *** walls of a cavity at the left and right were maintained at 350 and 293 K,*** upper oscillating surface was equipped with a variable height to baffle to increase the convection of the three kinds of TiO_(2),Al_(2)O_(3),andCuO nanofluids with various of 0.4,0.8,and 0.4,0.8,and 1.2 vol.%in volume *** was found that using a baffle attached to the oscillating upper surface of the cavity will lead to improving the distribution of vorticity in the cavity and increase the stream in the ***,increasing the baffle height,oscillating velocity,and volume fraction of nanoparticles contributes to enhancing the Nusselt number values by 50%for increasing baffle height from h∗=0.1 to ***,the Nu improved by 20%for increasing oscillating velocity from w=05 to 20 rad/s and by 12%for using Al_(2)O_(3)nanofluid instead of TiO3 atϕ=0.8 vol.%.

关键词： Oscillating wall square lid-driven nanofluids attached baffle

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“断裂的全球化”与南亚区域合作

亚太经济 2008年第3期 10-14页

作者：张红霞 Falah h.abed 山东理工大学经济学院东北师范大学城环学院

全球化是一个复杂的自相矛盾的进程,"断裂的全球化"是区域化的成因。以"断裂的全球化"思维模式对南亚区域合作进行的分析发现,南亚合作对实现经济和福利的跨越式增长存在很大机会,而建立冲突解决机制、实行公平贸易、开展能源合作、整... 详细信息

全球化是一个复杂的自相矛盾的进程,"断裂的全球化"是区域化的成因。以"断裂的全球化"思维模式对南亚区域合作进行的分析发现,南亚合作对实现经济和福利的跨越式增长存在很大机会,而建立冲突解决机制、实行公平贸易、开展能源合作、整合劳动力市场等措施有助于南亚推动迈向合作的进程。

关键词：断裂的全球化区域合作南亚

FE modeling of concrete beams and columns reinforced with FRP composites

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Defence Technology（防务技术） 2021年第1期17卷 1-14页

作者： Farid abed Chahmi Oucif Yousef Awera haya h.Mhanna hakem Alkhraisha Department of Civil Engineering American University of SharjahP.O.Box 26666United Arab Emirates Institute of Structural Mechanics(ISM) Bauhaus-Universitat WeimarMarienstraße 15D-99423WeimarGermany

Compression and flexure members such as columns and beams are critical in a structure as its failure could lead to the collapse of the *** the present work,numerical analysis of square and circle short columns,and reinforced concrete(RC)beams reinforced with fiber reinforced polymer composites are carried *** work is divided into two *** the first part,numerical study of axial behavior of square and circular concrete columns reinforced with Glass Fiber Reinforced Polymer(GFRP)and Basalt Fiber Reinforced Polymer(BFRP)bars and spiral,and Carbon Fiber Reinforced Polymer(CFRP)wraps is *** results of the first part showed that the axial capacity of the circular RC columns reinforced with GFRP increases with the increase of the longitudinal reinforcement *** addition,the results of the numerical analysis showed good correlation with the experimental *** interaction diagram for BFRP RC columns is also developed with considering various *** results of numerical modeling of RC columns strengthened with CFRP wraps revealed that the number and the spacing between the CFRP wraps provide different levels of ductility enhancement to the *** the cases considered in this study,column with two middle closely spaced CFRP wraps demonstrated the best *** the second part of this research,flexural behavior of RC beams reinforced with BFRP,GFRP and CFRP bars is investigated along with validation of the numerical model with the experimental *** results resembled the experimental observations that indicate significant effect of the FRP bar diameter and type ont he flexural capacity of the RC *** was also shown that Increasing the number of bars while keeping the same reinforcement ratio enhanced the stiffness of the RC beam.

关键词： Numerical analysis BRFP GFRP CFRP Columns Beams Experimental tests

Finite-Time and Fixed-Time Synchronization of Inertial Neural Networks with Mixed Delays

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Journal of Systems Science & Complexity 2021年第1期34卷 206-235页

作者： ChAOUKI Aouiti EL abed Assali University of Carthage Faculty of Sciences of BizertaDepartment of MathematicsResearch Units of Mathematics and Applications UR13ES477021 ZarzounaBizertaTunisia

This paper considers the drive-response synchronization in finite-time and fixed-time of inertial neural networks with time-varying and distributed delays(mixed delays). First, by constructing a proper variable substitution, the original inertial neural networks can be rewritten as a first-order differential system. Second, by constructing Lyapunov functions and using differential inequalities,some new and effective criteria are obtained for ensuring the finite-time synchronization. Finally, three numerical examples are also given at the end of this paper to show the effectiveness of the results.

关键词： Finite-time synchronization fixed-time synchronization inertial neural networks infinitetime distributed delays time-varying delays

Computer Vision Technology for Fault Detection Systems Using Image Processing

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Computers, Materials & Continua 2022年第10期73卷 1961-1976页

作者： abed Saif Alghawli Computer Science Department Prince Sattam Bin Abdulaziz UniversityAflajKingdom of Saudi Arabia

In the period of Industries 4.0,cyber-physical systems(CPSs)were a major study *** systems frequently occur in manufacturing processes and people’s everyday lives,and they communicate intensely among physical elements and lead to *** to the magnitude and importance of the systems they support,the cyber quantum models must function *** this paper,an image-processing-based anomalous mobility detecting approach is suggested that may be added to systems at any *** expense of glitches,failures or destroyed products is decreased when anomalous activities are detected and unplanned scenarios are *** presently offered techniques are not well suited to these operations,which necessitate information systems for issue treatment and classification at a degree of complexity that is distinct from *** overcome such challenges in industrial cyber-physical systems,the Image Processing aided Computer Vision Technology for Fault Detection System(IM-CVFD)is proposed in this *** Uncertainty Management technique is introduced in addition to achieving optimum knowledge in terms of latency and effectiveness.A thorough simulation was performed in an appropriate processing *** study results suggest that the IM-CVFD has a high performance,low error frequency,low energy consumption,and low delay with a strategy that *** comparison to traditional approaches,the IM-CVFD produces a more efficient outcome.

关键词： Cyber-physical system image processing computer vision fault detection

E-Commerce Fraud Detection Based on Machine Learning Techniques:Systematic Literature Review

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Big Data Mining and Analytics 2024年第2期7卷 419-444页

作者： abed Mutemi Fernando Bacao NOVA Information Management School(NOVA IMS) Universidade Nova de LisboaCampus de CampolideLisboa 1070-312Portugal

The e-commerce industry’s rapid growth,accelerated by the COVID-19 pandemic,has led to an alarming increase in digital fraud and associated *** establish a healthy e-commerce ecosystem,robust cyber security and anti-fraud measures are ***,research on fraud detection systems has struggled to keep pace due to limited real-world *** in artificial intelligence,Machine Learning(ML),and cloud computing have revitalized research and applications in this *** ML and data mining techniques are popular in fraud detection,specific reviews focusing on their application in e-commerce platforms like eBay and Facebook are lacking *** reviews provide broad overviews but fail to grasp the intricacies of ML algorithms in the e-commerce *** bridge this gap,our study conducts a systematic literature review using the Preferred Reporting Items for Systematic reviews and Meta-Analysis(PRISMA)*** aim to explore the effectiveness of these techniques in fraud detection within digital marketplaces and the broader e-commerce *** the current state of the literature and emerging trends is crucial given the rising fraud incidents and associated *** our investigation,we identify research opportunities and provide insights to industry stakeholders on key ML and data mining techniques for combating e-commerce *** paper examines the research on these techniques as published in the past *** the PRISMA approach,we conducted a content analysis of 101 publications,identifying research gaps,recent techniques,and highlighting the increasing utilization of artificial neural networks in fraud detection within the industry.

关键词： E-commerce Machine Learning(ML) systematic review fraud detection organized retail fraud

Multiple Data Augmentation Strategy for Enhancing the Performance of YOLOv7 Object Detection Algorithm

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Journal on Artificial Intelligence 2023年第1期5卷 15-30页

作者： Abdulghani M.Abdulghani Mokhles M.Abdulghani Wilbur L.Walters Khalid h.abed Department of Electrical&Computer Engineering and Computer Science Jackson State UniversityJackson39217USA

The object detection technique depends on various methods for duplicating the dataset without adding more *** augmentation is a popularmethod that assists deep neural networks in achieving better generalization performance and can be seen as a type of implicit *** is recommended in the casewhere the amount of high-quality data is limited,and gaining new examples is costly and *** this paper,we trained YOLOv7 with a dataset that is part of the Open Images dataset that has 8,600 images with four classes(Car,Bus,Motorcycle,and Person).We used five different data augmentations techniques for duplicates and improvement of our *** performance of the object detection algorithm was compared when using the proposed augmented dataset with a combination of two and three types of data augmentation with the result of the original *** evaluation result for the augmented data gives a promising result for every object,and every kind of data augmentation gives a different *** mAP@.5 of all classes was 76%,and F1-score was 74%.The proposed method increased the mAP@.5 value by+13%and F1-score by+10%for all objects.

关键词： Artificial intelligence object detection YOLOv7 data augmentation data brightness data darkness data blur data noise convolutional neural network

Performance Evaluation ofMulti-Agent Reinforcement Learning Algorithms

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Intelligent Automation & Soft Computing 2024年第2期39卷 337-352页

作者： Abdulghani M.Abdulghani Mokhles M.Abdulghani Wilbur L.Walters Khalid h.abed Department of Electrical&Computer Engineering and Computer Science Jackson State UniversityJacksonMS 39217USA

Multi-Agent Reinforcement Learning(MARL)has proven to be successful in cooperative *** is used to investigate how autonomous agents with the same interests can connect and act in one *** cooperation scenarios are explored in recreational cooperative augmented reality environments,as well as realworld scenarios in *** this paper,we explore the realm of MARL and its potential applications in cooperative *** focus is on developing a multi-agent system that can collaborate to attack or defend against enemies and achieve victory withminimal *** accomplish this,we utilize the StarCraftMulti-Agent Challenge(SMAC)environment and train four MARL algorithms:Q-learning with Mixtures of Experts(QMIX),Value-DecompositionNetwork(VDN),Multi-agent Proximal PolicyOptimizer(MAPPO),andMulti-Agent Actor Attention Critic(MAA2C).These algorithms allow multiple agents to cooperate in a specific scenario to achieve the targeted *** results show that the QMIX algorithm outperforms the other three algorithms in the attacking scenario,while the VDN algorithm achieves the best results in the defending ***,the VDNalgorithmreaches the highest value of battle wonmean and the lowest value of dead *** research demonstrates the potential forMARL algorithms to be used in real-world applications,such as controllingmultiple robots to provide helpful services or coordinating teams of agents to accomplish tasks that would be impossible for a human to *** SMAC environment provides a unique opportunity to test and evaluate MARL algorithms in a challenging and dynamic environment,and our results show that these algorithms can be used to achieve victory with minimal damage.

关键词： Reinforcement learning RL multi-agent MARL SMAC VDN QMIX MAPPO

AI Safety Approach for Minimizing Collisions in Autonomous Navigation

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Journal on Artificial Intelligence 2023年第1期5卷 1-14页

作者： Abdulghani M.Abdulghani Mokhles M.Abdulghani Wilbur L.Walters Khalid h.abed Department of Electrical&Computer Engineering and Computer Science Jackson State UniversityJackson39217USA

Autonomous agents can explore the environment around them when equipped with advanced hardware and software systems that help intelligent agents minimize *** systems are developed under the term Artificial Intelligence(AI)*** safety is essential to provide reliable service to consumers in various fields such asmilitary,education,healthcare,and *** paper presents the design of an AI safety algorithmfor safe autonomous navigation using Reinforcement Learning(RL).Machine Learning Agents Toolkit(ML-Agents)was used to train the agentwith a proximal policy optimizer algorithmwith an intrinsic curiositymodule(PPO+ICM).This training aims to improve AI safety and minimize or prevent any mistakes that can cause dangerous collisions by the intelligent *** experiments have been executed to validate the results of our *** designed algorithmwas tested in a virtual environment with four differentmodels.A comparison was presented in four cases to identify the best-performing model for improvingAI *** designed algorithmenabled the intelligent agent to perform the required task safely using RL.A goal collision ratio of 64%was achieved,and the collision incidents were minimized from 134 to 52 in the virtual environment within 30min.

关键词： Artificial intelligence AI safety autonomous robots unmanned systems Unity simulations reinforcement learning RL machine learning ML-Agents human-machine teaming