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Smart Energy Management System Using Machine Learning

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Computers, Materials & Continua 2024年第1期78卷 959-973页

作者： Ali Sheraz Akram Sagheer abbas Muhammad Adnan Khan Atifa Athar Taher M.Ghazal Hussam Al Hamadi School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Pattern Recognition and Machine Learning Lab Department of SoftwareGachon UniversitySeongnamGyeonggido13120Korea Department of Computer Science COMSATS University IslamabadLahore CampusLahore54000Pakistan School of Information Technology Skyline University CollegeSharjah1797United Arab Emirates Network and Communication Technology Lab Center for Cyber SecurityFaculty of Information Science and TechnologyUniversiti Kebangsaan MalaysiaBangiSelangor43600Malaysia College of Engineering and IT University of DubaiDubaiUnited Arab Emirates

Energy management is an inspiring domain in developing of renewable energy ***,the growth of decentralized energy production is revealing an increased complexity for power grid managers,inferring more quality and reliability to regulate electricity flows and less imbalance between electricity production and *** major objective of an energy management system is to achieve optimum energy procurement and utilization throughout the organization,minimize energy costs without affecting production,and minimize environmental *** energy management is an essential and complex subject because of the excessive consumption in residential buildings,which necessitates energy optimization and increased user *** address the issue of energy management,many researchers have developed various frameworks;while the objective of each framework was to sustain a balance between user comfort and energy consumption,this problem hasn’t been fully solved because of how difficult it is to solve *** inclusive and Intelligent Energy Management System(IEMS)aims to provide overall energy efficiency regarding increased power generation,increase flexibility,increase renewable generation systems,improve energy consumption,reduce carbon dioxide emissions,improve stability,and reduce energy *** Learning(ML)is an emerging approach that may be beneficial to predict energy efficiency in a better way with the assistance of the Internet of Energy(IoE)*** IoE network is playing a vital role in the energy sector for collecting effective data and usage,resulting in smart resource *** this research work,an IEMS is proposed for Smart Cities(SC)using the ML technique to better resolve the energy management *** proposed system minimized the energy consumption with its intelligent nature and provided better outcomes than the previous approaches in terms of 92.11% accuracy,and 7.89% miss-rate.

关键词： Intelligent energy management system smart cities machine learning

Securing Cloud-Encrypted Data:Detecting Ransomware-as-a-Service(RaaS)Attacks through Deep Learning Ensemble

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Computers, Materials & Continua 2024年第4期79卷 857-873页

作者： Amardeep Singh Hamad Ali Abosaq Saad Arif Zohaib Mushtaq Muhammad Irfan Ghulam abbas Arshad Ali Alanoud Al Mazroa School of Computer Information Sciences University of CumberlandsWilliamsburgKentucky40769USA Computer Science Department College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Mechanical Engineering College of EngineeringKing Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Electrical Electronics and Computer SystemsCollege of Engineering and TechnologyUniversity of SargodhaSargodha40100Pakistan Electrical Engineering Department College of EngineeringNajran UniversityNajran61441Saudi Arabia Department of Electrical Engineering The University of LahoreLahore54000Pakistan Faculty of Computer and Information Systems Islamic University of MadinahMadinah42351Saudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

Data security assurance is crucial due to the increasing prevalence of cloud computing and its widespread use across different industries,especially in light of the growing number of cybersecurity threats.A major and everpresent threat is Ransomware-as-a-Service(RaaS)assaults,which enable even individuals with minimal technical knowledge to conduct ransomware *** study provides a new approach for RaaS attack detection which uses an ensemble of deep learning *** this purpose,the network intrusion detection dataset“UNSWNB15”from the Intelligent Security Group of the University of New South Wales,Australia is *** the initial phase,the rectified linear unit-,scaled exponential linear unit-,and exponential linear unit-based three separate Multi-Layer Perceptron(MLP)models are ***,using the combined predictive power of these three MLPs,the RansoDetect Fusion ensemble model is introduced in the suggested *** proposed ensemble technique outperforms previous studieswith impressive performance metrics results,including 98.79%accuracy and recall,98.85%precision,and 98.80%*** empirical results of this study validate the ensemble model’s ability to improve cybersecurity defenses by showing that it outperforms individual *** expanding the field of cybersecurity strategy,this research highlights the significance of combined deep learning models in strengthening intrusion detection systems against sophisticated cyber threats.

关键词： Cloud encryption RaaS ensemble threat detection deep learning cybersecurity

带混合连接的装配式混凝土剪力墙抗震性能研究

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振动与冲击 2024年第19期43卷 306-318页

作者：韩启浩 yasir Naeem 汪大洋何建鑫江西理工大学土木与测绘工程学院江西赣州341000 广州大学土木工程学院广州510006

基于完成的带水平连接的装配式混凝土剪力墙(precast concrete shear walls with horizontal connection,PCSW-HC)试验研究,提出了一种带混合连接的装配式混凝土剪力墙(precast concrete shear walls with hybrid connection,PCSW-HVC),其中,水平连接采用高强螺栓的“强”连接方式,竖向连接采用钢剪切键(steel shear key,SSK)的“弱”连接方式。首先,结合已完成的试验,建立带水平连接的装配式混凝土剪力墙的数值模型,通过对比试验与数值分析结果,验证了材料本构关系的选取、各部件相互作用关系设置的正确性。进一步,采用同样的建模方法,建立带混合连接的装配式混凝土剪力墙的数值模型。分析了不同竖缝型式和增设钢剪切键对带混合连接的装配式混凝土剪力墙抗震性能的影响,揭示了其损伤失效模式。结果表明:单片剪力墙模块分割成较小尺寸模块拼装后,抗侧刚度有一定程度的减小,但刚度退化更缓慢,剪力墙墙板损伤更小,具有更好的变形能力;在剪力墙模块之间的竖缝中增设钢剪切键后,提高抗侧刚度的同时还可以改善其刚度退化行为,与不带钢剪切键模型相比,单片剪力墙(Single模型)和竖向滑动双片剪力墙(Sliding模型)峰值割线刚度分别提高了14.9%和11.4%;带混合连接的装配式混凝土剪力墙的损伤失效模式为“钢剪切键塑性屈服-墙板模块底部损伤-墙板模块破坏”,实现了钢剪切键塑性屈服耗能与墙板塑性损伤转移的“双功能”控制。

关键词：装配式混凝土剪力墙混合连接数值分析耗能失效模式

Uncovering the epidemiology of bladder cancer in the Arab world: A review of risk factors, molecular mechanisms, and clinical features

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Asian Journal of Urology 2024年第3期11卷 406-422页

作者： Noura F.abbas Marc R.Aoude Hampig R.Kourie Humaid OAl-Shamsi Department of Hematology-Oncology Hotel Dieu De France HospitalSaint Joseph University of BeirutRiad El SolhLebanon Department of Oncology Burjeel Cancer InstituteBurjeel Medical CityAbu DhabiUnited Arab Emirates Innovation and Research Center Burjeel Cancer InstituteBurjeel Medical CityAbu DhabiUnited Arab Emirates College of Medicine University of SharjahSharjahUnited Arab Emirates Emirates Oncology Society DubaiUnited Arab Emirates College of Medicine Gulf Medical UniversityAjmanUnited Arab Emirates

Objective:Bladder cancer(BC)is a significant public health concern in the Middle East and North Africa,but the epidemiology and clinicopathology of the disease and contributors to high mortality in this region remain poorly *** aim of this systematic review was to investigate the epidemiological features of BC in the Arab world and compare them to those in Western countries in order to improve the management of this ***:An extensive electronic search of the PubMed/PMC and Cochrane Library databases was conducted to identify all articles published until May 2022,following the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines.A total of 95 articles were included in the final analysis after title,abstract,and full-text screening,with additional data obtained from the GLOBOCAN and WHO 2020 databases.

关键词： Bladder cancer Epidemiology Risk factor Biomarker Schistosomiasis Arab world Urology

Vision based intelligent traffic light management system using Faster R‐CNN

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CAAI Transactions on Intelligence Technology 2024年第4期9卷 932-947页

作者： Syed Konain abbas Muhammad Usman Ghani Khan Jia Zhu Raheem Sarwar Naif R.Aljohani Ibrahim A.Hameed Muhammad Umair Hassan Department of Computer Science and Engineering University of Engineering and TechnologyLahorePakistan Zhejiang Key Laboratory of Intelligent Education Technology and Application Zhejiang Normal UniversityJinhuaChina OTHEM Manchester Metropolitan UniversityManchesterUK Faculty of Computing and Information Technology King Abdulaziz UniversityJeddahSaudi Arabia Department of ICT and Natural Sciences Norwegian University of Science and Technology(NTNU)ÅlesundNorway

Transportation systems primarily depend on vehicular flow on roads. Developed coun-tries have shifted towards automated signal control, which manages and updates signal synchronisation automatically. In contrast, traffic in underdeveloped countries is mainly governed by manual traffic light systems. These existing manual systems lead to numerous issues, wasting substantial resources such as time, energy, and fuel, as they cannot make real‐time decisions. In this work, we propose an algorithm to determine traffic signal durations based on real‐time vehicle density, obtained from live closed circuit television camera feeds adjacent to traffic signals. The algorithm automates the traffic light system, making decisions based on vehicle density and employing Faster R‐CNN for vehicle detection. Additionally, we have created a local dataset from live streams of Punjab Safe City cameras in collaboration with the local police authority. The proposed algorithm achieves a class accuracy of 96.6% and a vehicle detection accuracy of 95.7%. Across both day and night modes, our proposed method maintains an average precision, recall, F1 score, and vehicle detection accuracy of 0.94, 0.98, 0.96 and 0.95, respectively. Our proposed work surpasses all evaluation metrics compared to state‐of‐the‐art methodologies.

关键词： access control artificial intelligence computer vision intelligent control

Analysis and Control of the Vehicle Roll Dynamics Using Sum of Squares Polynomial Approach

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Journal of Systems Science & Complexity 2024年

作者： IBEN AMMAR Imen DOUMIATI Moustapha TALJ Reine CHOKOR abbas MACHMOUM Mohamed ESEO-IREENA Institut de Recherche en énergie électrique de Nantes Atlantique IREENA UR 4642 37 Boulevard de l’Université-BP406 Sorbonne Universités Université de Technologie de Compiègne CNRS Institut de Recherche en énergie électrique de Nantes Atlantique IREENA UR 4642 37 Boulevard de l’Université-BP 406

The safety of vehicle travel relies on good stability performance, making vehicle motion control a vital technology in vehicles. This paper focuses on investigating the impact of roll control on vehicle performance, particularly in terms of avoiding rollover and ensuring lateral stability. By introducing a feedback roll moment, the roll motion can be effectively controlled. The paper considers two roll reference generators: A static one aimed at zero roll, and a dynamic one based on the vehicle's lateral acceleration. The static roll reference generator enhances stability by employing a fixed reference, particularly beneficial during routine driving conditions. In contrast, the dynamic roll reference generator continually adapts the roll angle reference in response to real-time vehicle dynamics and driving conditions. These proposed reference generators can be paired with varying suspension systems — Static reference could be achieved using semi-active suspensions, while the dynamic one is integrated into advanced active suspension systems, offering heightened adaptability and *** address the roll control objectives, this paper proposes a novel sum of squares(SOS) integral polynomial tracking control. The proposed controller satisfies control bounds and considers control constraints during the design phase. The effectiveness and robustness of the proposed control scheme are evaluated through numerical simulations using a full vehicle nonlinear model in Matlab/Simulink. The results of these simulations are compared to super-twisting sliding mode and Lyapunov-based controllers.

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Parallel Technologies with Image Processing Using Inverse Filter

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Journal of Computer and Communications 2024年第1期12卷 110-119页

作者： Rahaf Alsharhan Areej Muheef Yasmin Al Ibrahim Afnan Rayyani yasir Alguwaifli College of Computer Science and Information Technology (CCSIT) Imam Abdulrahman Bin Faisal University (IAU) Dammam Saudi Arabia

Real-time capabilities and computational efficiency are provided by parallel image processing utilizing OpenMP. However, race conditions can affect the accuracy and reliability of the outcomes. This paper highlights the importance of addressing race conditions in parallel image processing, specifically focusing on color inverse filtering using OpenMP. We considered three solutions to solve race conditions, each with distinct characteristics: #pragma omp atomic: Protects individual memory operations for fine-grained control. #pragma omp critical: Protects entire code blocks for exclusive access. #pragma omp parallel sections reduction: Employs a reduction clause for safe aggregation of values across threads. Our findings show that the produced images were unaffected by race condition. However, it becomes evident that solving the race conditions in the code makes it significantly faster, especially when it is executed on multiple cores.

关键词： Parallel Parallelization Image Processing Inverse Filtering OpenMP Race Conditions

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几何形状对气垫升力的影响研究

哈尔滨工程大学学报（英文版） 2024年第1期23卷 74-84页

作者： Hamed Petoft Vahid Fakhari abbas Rahi Faculty of Mechanical and Energy Engineering Shahid Beheshti UniversityTehran ***Iran

One of the crucial and challenging issues for researchers is presenting an appropriate approach to evaluate the aerodynamic characteristics of air cushion vehicles(ACVs)in terms of system design *** of these issues includes introducing a suitable approach to analyze the effect of geometric shapes on the aerodynamic characteristics of *** main novelty of this paper lies in presenting an innovative method to study the geometric shape effect on air cushion lift force,which has not been investigated thus ***,this paper introduces a new approximate mathematical formula for calculating the air cushion lift force in terms of parameters,including the air gap,lateral gaps,air inlet velocity,and scaling factor for the first ***,we calculate the aerodynamic lift force applied to nine different shapes of the air cushions used in the ACVs in the present paper through the ANSYS Fluent *** geometrical shapes studied in this paper are rectangular,square,equilateral triangle,circular,elliptic shapes,and four other combined shapes,including circle-rectangle,circle-square,hexagonal,and fillet *** showed that the cushion with a circular pattern produces the highest lift force among other geometric shapes with the same *** increase in the cushion lift force can be attributed to the fillet with a square shape and its increasing radius compared with the square shape.

关键词： Lift force Air cushion vehicle Geometric shape Simulation Gap Inlet velocity Scaling factor

Accelerating Large-Scale Sorting through Parallel Algorithms

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Journal of Computer and Communications 2024年第1期12卷 131-138页

作者： Yahya Alhabboub Fares Almutairi Mohammed Safhi Yazan Alqahtani Adam Almeedani yasir Alguwaifli College of Computer Science and Information Technology Imam Abdulrahman Bin Faisal University Dammam Saudi Arabia

This study explores the application of parallel algorithms to enhance large-scale sorting, focusing on the QuickSort method. Implemented in both sequential and parallel forms, the paper provides a detailed comparison of their performance. This study investigates the efficacy of both techniques through the lens of array generation and pivot selection to manage datasets of varying sizes. This study meticulously documents the performance metrics, recording 16,499.2 milliseconds for the serial implementation and 16,339 milliseconds for the parallel implementation when sorting an array by using C++ chrono library. These results suggest that while the performance gains of the parallel approach over its serial counterpart are not immediately pronounced for smaller datasets, the benefits are expected to be more substantial as the dataset size increases.

关键词： Sorting Algorithm Quick Sort QuickSort Parallel Parallel Algorithms