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Task Offloading and Resource Allocation in IoT Based Mobile Edge Computing Using Deep Learning

computers, Materials & Continua 2023年第8期76卷 1463-1477页

作者： Ily s Abdullaev Natalia Prodanova KAruna Bhaskar ELaxmi Lydia Seifedine Kadry Jungeun Kim Dean of the Faculty of Economics Department of Management and MarketingFaculty of EconomicsUrgench State UniversityUrganch220100Uzbekistan Basic Department Financial Control Analysis and Audit of Moscow Main Control DepartmentPlekhanov Russian University of EconomicsMoscow117997Russia Department of Computer Science and Engineering KL Deemed to UniversityVaddeswaramGunturAndhra PradeshIndia Department of Computer Science and Engineering GMR Institute of TechnologyAndhra PradeshRajamIndia Department of Applied Data Science Noroff University CollegeKristiansandNorway Artificial Intelligence Research Center(AIRC) Ajman UniversityAjman346United Arab Emirates Department of Electrical and Computer Engineering Lebanese American UniversityByblosLebanon Department of Software Kongju National UniversityCheonan31080Korea

Recently,computation offloading has become an effective method for overcoming the constraint of a mobile device(MD)using computationintensivemobile and offloading delay-sensitive application tasks to the remote cloud-based data *** city benefitted from offloading to edge *** a mobile edge computing(MEC)network in multiple *** comprise N MDs and many access points,in which everyMDhasM independent real-time *** study designs a new Task Offloading and Resource Allocation in IoT-based MEC using Deep Learning with Seagull Optimization(TORA-DLSGO)*** proposed TORA-DLSGO technique addresses the resource management issue in the MEC server,which enables an optimum offloading decision to minimize the system *** addition,an objective function is derived based on minimizing energy consumption subject to the latency requirements and restricted *** TORA-DLSGO technique uses the deep belief network(DBN)model for optimum offloading ***,the SGO algorithm is used for the parameter tuning of the DBN *** simulation results exemplify that the TORA-DLSGO technique outperformed the existing model in reducing client overhead in the MEC systems with a maximum reward of 0.8967.

关键词： Mobile edge computing seagull optimization deep belief network resource management parameter tuning

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Network construction of small and medium-sized enterprises based on virtual cloud WEB in the information age

Network construction of small and medium-sized enterprises b...

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2022 International Conference on Cloud Computing, Big Data and Internet of Things, 3CBIT 2022

作者： Liu, Zhibin Peng, Bo Cai, Mingming Qiqihar University School of Computer and Control Engineering Qiqihar China Qiqihar Institute of Engineering Department of Information Engineering Qiqihar China Henan University of Economics and Law School of Computer and Information Engineering Zhengzhou China

ISBN: (纸本)9781665492256

With the continuous development of the Internet and the promotion of the epidemic, the construction of enterprise networking is becoming more and more important. Website construction has become an essential part of enterprise development. However, small and medium-sized enterprises are facing economic and human pressures. Enterprise website, online office, online mall VPN, forums and other services for the development of the company is particularly important. Through the investigation and analysis of 20 small and medium-sized enterprises, domestic and foreign academic papers and online data, this paper introduces the importance of cloud on enterprise network, constructs the virtual cloud construction system based on CMS, and provides solutions from the aspects of capital cost, hardware procurement, software environment, system development, later operation and maintenance and labor cost, so as to realize simple, rapid, efficient, safe and low-cost deployment. At the same time, it meets the development of enterprise science and technology, perfects and summarizes the architecture model, realizes the demand of network construction of small and medium-sized enterprises efficiently and quickly, and encourages the development of entrepreneurs and small and medium-sized enterprises. © 2022 IEEE.

关键词： Websites

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Adaptive Prescribed-Time Neural control of Nonlinear Systems via Dynamic Surface Technique

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第10期5卷 4948-4958页

作者： Wang, Ping Yu, Chengpu Lv, Maolong Zhao, Zilong Beijing Institute of Technology School of Automation Beijing100081 China Beijing Institute of Technology Chongqing Innovation Center Chongqing401120 China Air Force Engineering University College of Air Traffic Control and Navigation Xi'an710051 China Delft University of Technology Faculty of Electrical Engineering Mathematics and Computer Science Delft2628 CD Netherlands

The adaptive practical prescribed-time (PPT) neural control is studied for multiinput multioutput (MIMO) nonlinear systems with unknown nonlinear functions and unknown input gain matrices. Unlike existing PPT design schemes based on backstepping, this study proposes a novel PPT control framework using the dynamic surface control (DSC) approach. First, a novel nonlinear filter (NLF) with an adaptive parameter estimator and a piecewise function is constructed to effectively compensate for filter errors and facilitate prescribed-time convergence. Based on this, a unified DSC-based adaptive PPT control algorithm, augmented with a neural networks (NNs) approximator, is developed, where NNs are used to approximate unknown nonlinear system functions. This algorithm not only addresses the inherent computational complexity explosion associated with traditional backstepping methods but also reduces the constraints on filter design parameters compared to the DSC algorithm that relies on linear filters. The simulation showcases the effectiveness and superiority of the devised scheme by employing a two-degree-of-freedom robot manipulator. © 2024 IEEE.

关键词： Flexible manipulators

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MetaRehab: Enhancing Parkinson's Disease Rehabilitation Through Gamified Virtual Reality, a Usability Study

MetaRehab: Enhancing Parkinson's Disease Rehabilitation Thro...

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IEEE Games Media Entertainment (GEM)

作者： Fabrizio Sulpizio Leonardo Giannantoni Francesco Strada Andrea Bottino Control and Computer Engineering Department Politecnico di Torino Torino Italy

ISBN: (数字)9798350374537

ISBN: (纸本)9798350374544

Motor impairment and cognitive decline are the most relevant symptoms of Parkinson's disease (PD), a neu- rodegenerative syndrome that is usually treated with pharmaco-logical and rehabilitation therapy. However, traditional physical and cognitive rehabilitation approaches require frequent visits to specialized centers and often lack engagement, leading to demotivation and non-compliance. The increasing prevalence of neurodegenerative syndromes highlights the need for innovative, more sustainable and entertaining rehabilitation strategies. This study explores the potential of immersive Virtual Reality (VR) in physical and cognitive at-home rehabilitation. By incorporating gamification elements, our approach aims to increase patient motivation and engagement, which are crucial for successful rehabilitation outcomes. The use of Natural User Interfaces in the application increases user engagement and the user experience by enabling intuitive interactions and thus promoting a sense of agency. In addition, the VR environment utilizes different communication channels to deliver instructions and feedback on activities, ensuring that the system is accessible to individuals with different needs and preferences. In this paper, we describe the experimental evaluation of the usability and perceived effort of MetaRehab, the proposed VR-based rehabilitation process, prior to its application in a therapeutic context. These prelimi-nary results provide a solid foundation for future enhancements aimed at adding new features and further increasing system inclusivity and engagement.

关键词： Neurological diseases Parkinson's disease Sociology User interfaces Motors Solids User experience

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Data-driven Diagnostic Method of Zero-point Drifting of Wind Turbine Yaw Angle

Data-driven Diagnostic Method of Zero-point Drifting of Wind...

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第43届中国控制会议

作者： Qiankun Hu Ketao Dong Yali Zhao Peng Guo School of Control and Computer Engineering North China Electric Power University

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

In order to eliminate the zero-point drifting of wind turbine yaw angle,a diagnosis method based on hypothesis test is *** determining the sensitive wind speed interval of the wind turbine and detecting the power distribution,the yaw angle interval where the yaw angle zero-point drifting is located is determined,and the diagnosis is *** effectiveness of the proposed method is verified by taking the operation data of two wind turbine SCADA systems as an *** results show that the proposed method can accurately quantify the data distribution differences of different yaw error intervals and has high accuracy in the diagnosis of yaw angle zero-point drifting.

关键词： Wind Turbine SCADA System Yaw Angle Zero-point Drifting Hypothesis Test

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2D Posture Estimation of Human Arm

2D Posture Estimation of Human Arm

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International Conference on Mathematics and computers in Sciences and in Industry (MCSI)

作者： Sebastian Daniel Rosca Monica Leba Remus Sibisanu Department of System Control and Computer Engineering University of Petrosani Petrosani Romania

ISBN: (数字)9798350377224

ISBN: (纸本)9798350377231

Human pose estimation and automatic detection is a common task in Human-computer Interaction but especially more capitalized in human-robot interaction inspired from biological form of human anatomy to realize a biomimetic control. In this sense, using human pose estimation it can be realized the whole human body posture estimation using anatomical human joints detection as inputs for specialized algorithms to calculate it based on key points obtained from a person Kinematic tree using regression, generation or part relation as models to estimate the optimal position from video or even from image. In this paper we propose a solution to estimate of 2D human arm posture of a subject using image capture as input for advanced machine learning algorithms to determine the subject joints position used to control in biomimetic manner a simulation of human like robotic arm with six degrees of freedom as a computer-aided model in Matlab-Simulink based on forward kinematics.

关键词： Machine learning algorithms Service robots Biomimetics Biological system modeling Pose estimation Kinematics Arms Manipulators Mathematical models Regression tree analysis

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Measuring the Cost of the Linux Network Stack in Real-Time

Measuring the Cost of the Linux Network Stack in Real-Time

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IEEE Conference on Network Softwarization (NetSoft)

作者： Davide Miola Fulvio Risso Federico Parola Department of Computer and Control Engineering Politecnico di Torino Turin Italy

ISBN: (数字)9798350369588

ISBN: (纸本)9798350369595

As network interfaces in the data center get faster and faster, and an increasingly big portion of the services is implemented in software, we must wonder just how much time our servers’ CPUs are spending handling network traffic. This paper explores the feasibility of measuring the cost of the entire in-kernel network stack in real-time on production systems by relying on the eBPF tracing capabilities instead of utilizing custom logic or kernel patching. We describe two methods that have been attempted, respectively based on an "exact" instrumentation of the stack and sampling, along with the advantages and defects of each approach.

关键词： Production systems Costs System performance Linux Telecommunication traffic Time measurement Real-time systems

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Research on the Integration and Application of computer Vision Technology in Intelligent Security Monitoring System

Research on the Integration and Application of Computer Visi...

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Electronic Technology, Communication and Information (ICETCI), IEEE International Conference on

作者： Hongsheng Wang College of Computer and Control Engineering Northeast Forestry University Harbin China

ISBN: (数字)9798350361643

ISBN: (纸本)9798350361650

In view of the existing security products limited use scenarios, deployment and use is not flexible, limited performance and other problems, design and implementation of intelligent video surveillance system based on face recognition technology. The key technology of the system, facial recognition, is deeply studied. The system includes: real-time alarm system, intelligent access control system, intelligent inspection system and so on. Real-time early warning of illegal behaviors can accurately identify the facial features of violations and push them to the relevant departments for early warning. Through intelligent access control, the security protection of the face is realized. The system can collect and mark the information in real time through the monitoring device set in the patrol area, thus greatly improving the efficiency of patrol. Experiments show that this method has high performance in face detection and recognition. It can well solve the safety protection requirements of large venues, theaters, warehouses and other large venues.

关键词： Access control Accuracy Face recognition Streaming media Video surveillance Real-time systems Servers

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Analyzing technical debt management in an industrial project: diffuseness and actual remediation time of SonarQube issues

Analyzing technical debt management in an industrial project...

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International Conference on Application of Information and Communication Technologies (AICT)

作者： Giovanni Garifo Luca Maina Antonio Vetrò Marco Torchiano Department of Control and Computer Engineering Politecnico di Torino Torino Italy

ISBN: (数字)9798350387537

ISBN: (纸本)9798350387544

Technical Debt (TD) affects nearly all software projects, with tools like SonarQube (SQ) used to detect and estimate its severity and remediation effort. This paper examines TD management in an Italian software company that developed a software product in the railway domain. We assess SQ accuracy in estimating remediation efforts by comparing it to actual developer remediation times. Results indicate that SQ generally overestimates remediation time for this closed-source code base.

关键词： Codes Accuracy Companies Software Information and communication technology

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The Quest for Believability: Exploring FACS Adaptations for Emotion Facial Expressions in Virtual Humans

The Quest for Believability: Exploring FACS Adaptations for ...

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IEEE Games Media Entertainment (GEM)

作者： Stefano Calzolari Francesco Strada Andrea Bottino Control and Computer Engineering Department Politecnico di Torino Torino Italy

ISBN: (数字)9798350374537

ISBN: (纸本)9798350374544

In interactive computer graphics, Facial Action Coding System (FACS) has been adapted to enhance the emotional expressiveness of Virtual Humans (VHs) by associating certain Action Units (AUs) with corresponding facial blendshapes. In this way, animators can (theoretically) recreate any human emotion on a VH's face with precision and flexibility. However, conveying realistic and believable emotional expressions with this approach comes with some challenges. In particular, given a set of AUs representing a particular emotion, it is not straightforward to define the correct set of blendshape weights that can render the same realistic and believable emotion on all VHs, as even small differences in weight values can drastically change the perceived emotion. This complexity raises several critical questions such as: is there for each emotion a universal set of blendshape weights that can effectively convey that emotion across all VHs? How can this set be found? If such a universal set proves elusive, can optimal combinations be identified for specific subgroups based on specific facial features such as men and women? Answering these questions is critical to understanding the general applicability of FACS-based facial emotion coding, which allows designers and animators to easily develop VHs that are able to interact with users in a way that is both emotionally rich and authentic. This paper explores these issues through a preliminary investigation aimed at defining realistic representations of happiness.

关键词： Entertainment industry computer graphics Media Encoding Complexity theory Facial features Faces

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