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Computing Challenges of UAV Networks: A Comprehensive Survey

computers, Materials & Continua 2024年第11期81卷 1999-2051页

作者： Altaf Hussain Shuaiyong Li Tariq Hussain Xianxuan Lin Farman Ali Ahmad Ali AlZubi School of Computer Science&Technology Chongqing University of Posts and TelecommunicationsChongqing400065China Key Laboratory of Industrial Internet of Things and Networked Control Ministry of EducationChongqing University of Posts and TelecommunicationsChongqing400065China School of Computer Science and Technology Zhejiang Gongshang UniversityHangzhou310018China School of Artificial Intelligence Nanjing University of Information Science&TechnologyNanjing210044China Department of Computer Science and Engineering School of ConvergenceCollege of Computing and InformaticsSungkyunkwan UniversitySeoul03063Republic of Korea Department of Computer Science Community CollegeKing Saud UniversityRiyadh11495Saudi Arabia

Devices and networks constantly upgrade,leading to rapid technological ***-dimensional(3D)point cloud transmission plays a crucial role in aerial computing terminology,facilitating information *** network types,including sensor networks and 5G mobile networks,support this ***,Flying Ad hoc Networks(FANETs)utilize Unmanned Aerial Vehicles(UAVs)as nodes,operating in a 3D environment with Six Degrees of Freedom(6DoF).This study comprehensively surveys UAV networks,focusing on models for Light Detection and Ranging(LiDAR)3D point cloud compression/*** topics covered include autonomous navigation,challenges in video streaming infrastructure,motivations for Quality of Experience(QoE)enhancement,and avenues for future ***,the paper conducts an extensive review of UAVs,encompassing current wireless technologies,applications across various sectors,routing protocols,design considerations,security measures,blockchain applications in UAVs,contributions to healthcare systems,and integration with the Internet of Things(IoT),Artificial Intelligence(AI),Machine Learning(ML),and Deep Learning(DL).Furthermore,the paper thoroughly discusses the core contributions of LiDAR 3D point clouds in UAV systems and their future prediction along with mobility *** also explores the prospects of UAV systems and presents state-of-the-art solutions.

关键词： Autonomous vehicles UAV systems UAV transmission UAV in healthcare future of UAV system security measures

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Building a hybrid DEVS and GRASS model using a composable cellular automaton

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International Journal of Modeling, Simulation, and Scientific Computing 2016年第1期7卷 62-92页

作者： Gary R.Mayer Hessam S.Sarjoughian Department of Computer Science Southern Illinois University Edwardsville 61 Circle Drive EdwardsvilleIllinois 62026USA Arizona Center for Integrative Modeling&Simulation School of Computing Informaticsand Decision Systems Engineering Arizona State University699 South Mill Avenue TempeArizona 85281USA

Modeling and simulation is pervasive throughout many different *** computing technology has provided more capability,the systems being modeled and simulated have grown larger and more *** times,these large systems are managed as interacting *** it is necessary for the simulation to allow disparate subsystems to maintain their independence,then a hybrid model of the subsystems should be ***,to ease the burden of verification and validation of simulation results,a proven system theoretical modeling specification should be ***,many communities have already adopted nonsystem theoretical software solutions and established a group of domain experts familiar with these *** paper provides two things:a formal approach to building a hybrid model,and a discussion of how to incorporate a nonsystem theoretical software implementation into a proven *** first is done through the implementation of a Knowledge Interchange Broker(KIB)as an Interaction Model(IM).The second is accomplished by exemplifying the use of the IM in an agent-environment hybrid *** the hybrid model,the agent is implemented in the Discrete-event System(DEVS)specification and the environment is implemented in the Geographical Resources Analysis Support System(GRASS)using a Composable Cellular Automaton(CCA)*** concept has been successfully applied to both example models and an interdisciplinary research project where the interactions between human activities and landscape processes are studied.

关键词： Multi-formalism modeling hybrid simulation composability agent cellular automata

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Performance of Deep Learning Benchmark Models on Thermal Imagery of Pain through Facial Expressions 11

Performance of Deep Learning Benchmark Models on Thermal Ima...

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11th IEEE International Conference on Communication, Networks and Satellite, COMNETSAT 2022

作者： Islamadina, Raihan Saddami, Khairun Oktiana, Maulisa Abidin, Taufik Fuadi Muharar, Rusdha Arnia, Fitri Universitas Islam Negeri Ar Raniry Education of Informatika Technology Banda Aceh Indonesia Universitas Syiah Kuala Department of Electrical and Computer Engineering Banda Aceh Indonesia Department of Informatics Universitas Syiah Kuala Banda Aceh Indonesia

ISBN: (纸本)9781665460309

This paper discusses the performance of deep learning models from ResNet, MobileNetV2, and EfficientNet for pain recognition through facial expressions. The dataset used in this paper is a thermal image obtained from the Multimodal Pain Intensity (MintPain) database which is a database for facial pain-level recognition. The deep learning model used has been trained on other datasets and its performance is proven through the transfer learning method. During training, epochs of 5, 20, 40, and 60 were used. We used a minibatch size of 24, the optimizer with a learning rate of 0.001, momentum of 0.9, and the learning rate factor for weight and bias each to 10. The results of the training showed that ResNet, MobileNetV2, and EfficientNet had 100%, 100%, and 99.60% accuracy at epoch 40, respectively. Finally, an evaluation of the performance of each model that has been trained is carried out using the test results. Here, MobileNetV2 is able to correctly classify all test datasets with an accuracy of 82.3%. © 2022 IEEE.

关键词： Deep learning

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Blockchain Solution For SMEs Cybersecurity Threats In E-Commerce 1

Blockchain Solution For SMEs Cybersecurity Threats In E-Comm...

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1st International Conference on computer Science and Emerging Technologies, CSET 2023

作者： Zawaideh, Firas H. Abu-Ulbeh, Waheeb Mjlae, Salameh A. El-Ebiary, Yousef A. Baker Al Moaiad, Yazeed Das, Sunanda Irbid National University Faculty of Science and Informaiton Technology Department of Cyber Security Irbid Jordan Al-Istiqlal University Faculty of Administrative Sciences and Informatics Cybersecurity Department Palestine Palestine Prince Abdullah Bin Ghazi Faculty of Information Technology Cs Department Jordan UniSZA Faculty of Informatics and Computing Malaysia Mediu Faculty of Computer and Information Technology Malaysia School of Computer Science and Engineering Jain University Bangalore India

ISBN: (纸本)9798350341737

The rapid growth of electronic commerce (e-commerce) has revolutionized the way Small and Medium-sized Enterprises (SMEs) conduct business, enabling them to reach global markets and unlock new growth opportunities. However, this digital transformation has also exposed SMEs to an escalating array of cybersecurity threats that could compromise their data, financial integrity, and reputation. Blockchain technology, known for its decentralized and immutable nature, has emerged as a potential solution to enhance the security and resilience of e-commerce operations for SMEs. This research paper aims to investigate the current state of cybersecurity preparedness among SMEs engaged in e-commerce and identify the prevalent threats they face in the digital landscape. To achieve this goal, the study incorporates systematic literature review (SLR) method to examine the best technological solution to address the cybersecurity issues faced by e-commerce organizations in this paper of SMEs operating in e-commerce to gather data on their security practices, incident history, and perceptions of cybersecurity risks. In the context of this research, blockchain technology will be explored as a potential mechanism to enhance the security of e-commerce operations for SMEs. The inherent features of blockchain, such as decentralization, transparency, and immutability, could help protect sensitive data and thwart cyberattacks. By exploring the integration of blockchain into e-commerce systems, the research aims to shed light on the potential benefits and challenges associated with its adoption by SMEs. The research findings will not only shed light on the prevailing cybersecurity practices within SMEs and highlight their vulnerabilities but will also explore how blockchain technology can be leveraged to address these challenges. By understanding these patterns and exploring the feasibility of blockchain integration, the research aims to provide comprehensive recommendations for enhancing cy

关键词： Cybersecurity

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A real-time application to detect human voice disorders

A real-time application to detect human voice disorders

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2020 International Conference on Decision Aid Sciences and Application, DASA 2020

作者： Milani, M.G. Manisha Ramashini, Murugaiya Krishani, Murugiah Universiti Brunei Darussalam Bandar Faculty of Integrated Technologies Seri Begawan Brunei Uva Wellassa University Department of Computer Science and Informatics Badulla Sri Lanka Pavendar Bharathidasan College of Engineering and Technology Department of Biotechnology Trichy India

ISBN: (纸本)9781728196770

This paper proposes an automatic method to differentiate healthy and pathological human voices in real-time to construct more accurate medical decisions and allow patients with disorders to seek early medical assistance. The main problem encountered in voice recognition is to identify the appropriate features and a classifier. To address a solution to this problem, this paper introduced a fast and accurate voice recognition method by approaching the MFCC audio processing features with three machine learning algorithms;Decision Tree (DT), Support Vector Machine (SVM), and Artificial Neural Network (ANN). As a result, ANN classifier performed the highest classification accuracy of 87.5%, whilst DT and SVM performed 62.5% and 50%, respectively. © 2020 IEEE.

关键词： Neural networks

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Structure and magnetism of LSMO/BTO/MgO/LSMO multilayers

Structure and magnetism of LSMO/BTO/MgO/LSMO multilayers

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作者： Pawlak, J. Zywczak, A. Szwachta, G. Kanak, J. Gajewska, M. Przybylski, M. Faculty of Physics and Applied Computer Science Faculty of Informatics Electronics and Telecommunications AGH University of Science and Technology Kraków Poland Academic Centre for Materials and Nanotechnology Faculty of Informatics Electronics and Telecommunications AGH University of Science and Technology Kraków Poland Faculty of Metals Engineering and Industrial Computer Science Faculty of Informatics Electronics and Telecommunications AGH University of Science and Technology Kraków Poland Department of Electronics Faculty of Informatics Electronics and Telecommunications AGH University of Science and Technology Kraków Poland

A multiferroic tunnel junction (MFTJ) is a promising device for future memory systems with discrete and different logic states which are controlled by a combination of electric and magnetic fields. The goal of ongoing research is to present ferroelectric and ferromagnetic properties, especially at room temperature (RT), represented as high values of tunnel electroresistance (TER) and tunnel magnetoresistance (TMR). A key aspect is the appropriate preparation of a sample allowing epitaxial growth. The thin layers were prepared by pulsed laser deposition on atomically smooth monocrystalline SrTiO3 (STO) substrates. The ferromagnetic metal layers La0.67Sr0.33MnO3 (LSMO) are separated by a layer of a ferroelectric insulator - BaTiO3 (BTO). The same structure of LSMO, BTO and STO (perovskite) and a similar lattice constant make it possible to obtain high-quality heterostructures. Magnetic measurements confirm differences in the magnetic coercivity of the top and bottom LSMO layer, which allows to obtain their parallel and antiparallel magnetization orientation. A modification of the interfaces of BTO by thin MgO layer enables an increase in the value of the TER effect. © 2018 Polish Academy of Sciences. All rights reserved.

关键词： Magnesia

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Semi-supervised object recognition using flickr images

Semi-supervised object recognition using flickr images

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International Workshop on Content-Based Multimedia Indexing

作者： Chatzilari, Elisavet Nikolopoulos, Spiros Papadopoulos, Symeon Zigkolis, Christos Kompatsiaris, Yiannis Centre for Research and Technology Hellas Informatics and Telematics Institute Greece Centre for Vision Speech and Signal Processing University of Surrey Guildford United Kingdom School of Electronic Engineering and Computer Science QueenMary University of London United Kingdom Aristotle University Department of Informatics 54124 Thessaloniki Greece

ISBN: (纸本)9781612844336

In this work we present an algorithm for extracting region level annotations from flickr images using a small set of manually labelled regions to guide the selection process. More specifically, we construct a set of flickr images that focuses on a certain concept and apply a novel graph based clustering algorithm on their regions. Then, we select the cluster or clusters that correspond to the examined concept guided by the manually labelled data. Experimental results show that although the obtained regions are of lower quality compared to the manually labelled regions, the gain in effort compensates for the loss in performance. © 2011 IEEE.

关键词： Object recognition

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A Systematic Overview on Simulation of Connected Vehicles Infrastructure in Smart Cities 1

A Systematic Overview on Simulation of Connected Vehicles In...

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1st International Conference in Advanced Innovation on Smart City, ICAISC 2023

作者： Gupta, Manik Dhaou, Imed Ben Garg, Kamal Deep Sharma, Bhisham Chitkara University School of Engineering and Technology Chitkara University Himachal Pradesh India Dar Al-Hekma University Hekma School of Engineering Computing and Informatics Department of Computer Science Jeddah Saudi Arabia Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9781665472753

The development and use of connected vehicles are becoming increasingly important areas of study in the wireless networking and transportation research communities. These networks can provide various services such as collision warning. Unlike other types of devices, such as hand-held devices, the vehicles' nodes are not limited by their energy consumption and storage capacity. Therefore, the development of connected networks can be carried out with minimal resources. It is necessary to run a simulation in order to determine whether they are feasible. The availability of multiple devices and protocols has led to the creation of new utilization scenarios. Due to the complexity of the task, many simulation tools were developed during the past few years. This paper systematically reviews the current state of these tools and discusses their capabilities to evaluate the various scenarios related to the development of connected vehicles network. © 2023 IEEE.

关键词： Energy utilization

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Smart Traffic Light Using Raspberry Pi and Digital Image Processing 9

Smart Traffic Light Using Raspberry Pi and Digital Image Pro...

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9th International Conference on Wireless and Telematics, ICWT 2023

作者： Susilawati, Helfy Pathur Rahman, Shelmy Luthfi Rukmana, Ade Malik Matin, Iik Muhamad Sarbini Ismail, Nanang Universitas Garut Electrical Engineering Departement Garut Indonesia Computer and Informatics Engineering Jakarta State Polytechnic Jakarta Indonesia Uin Sunan Gunung DJati Bandung Psychology Department Bandung Indonesia Uin Sunan Gunung DJati Bandung Departement of Electrical Engineering Bandung Indonesia

ISBN: (纸本)9798350305029

Congestion is one of the problems in traffic, especially at intersections with traffic lights. In this study, a traffic light management system was developed by utilizing image processing that can adjust the duration in the queue depending on road conditions. The system is developed using Raspberry Pi 4 as the controller. The system will capture the image of the traffic conditions via cameras and then perform the image processing using OpenCV and Tensorflow to calculate the number of vehicles. The number of vehicles will be sent to the webserver database to be processed as the input for traffic system settings. The testing shows that the system can set the timing of the traffic lights. When there are 3 vehicles in the queue with traffic light is red then the system set the timing for the green light to 10 seconds. Additional of 1 vehicle in the queue will increase the duration of the green light by 4 seconds. © 2023 IEEE.

关键词： Image processing

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Automated Controller Placement for Software-Defined Networks to Resist DDoS Attacks

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computers, Materials & Continua 2021年第9期68卷 3147-3165页

作者： Muhammad Reazul Haque Saw Chin Tan Zulfadzli Yusoff Kashif Nisar Lee Ching Kwang Rizaludin Kaspin Bhawani Shankar Chowdhry Rajkumar Buyya Satya Prasad Majumder Manoj Gupta Shuaib Memon Faculty of Computing&Informatics Multimedia UniversityPersiaran MultimediaCyberjaya63100SelangorMalaysia Faculty of Engineering Multimedia UniversityPersiaran MultimediaCyberjaya63100SelangorMalaysia Faculty of Computing and Informatics University Malaysia SabahJalan UMSKota Kinabalu Sabah88400Malaysia Telekom Malaysia Research&Development TM Innovation CentreCyberjaya63000SelangorMalaysia National Center of Robotics and Automation Mehran University of Engineering&TechnologyJamshoroPakistan Department of Computer Science and Engineering Hanyang UniversitySeoul04763South Korea School of Electrical and Electronic Engineering Nanyang Technological University639798Singapore Cloud Computing and Distributed Systems Laboratory The University of MelbourneMelbourneVIC 3053Australia Department of Electrical and Electronic Engineering Bangladesh University of Engineering and Technology(BUET)Dhaka1205Bangladesh Department of Electronics and Communication Engineering JECRC UniversityVidhaniJaipur303905India Auckland Institute of Studies Mt AlbertAucklandNew Zealand

In software-defined networks(SDNs),controller placement is a critical factor in the design and planning for the future Internet of Things(IoT),telecommunication,and satellite communication *** research has concentrated largely on factors such as reliability,latency,controller capacity,propagation delay,and energy ***,SDNs are vulnerable to distributed denial of service(DDoS)attacks that interfere with legitimate use of the *** ever-increasing frequency of DDoS attacks has made it necessary to consider them in network design,especially in critical applications such as military,health care,and financial services networks requiring high *** propose a mathematical model for planning the deployment of SDN smart backup controllers(SBCs)to preserve service in the presence of DDoS *** a number of input parameters,our model has two distinct ***,it determines the optimal number of primary controllers to place at specific locations or nodes under normal operating ***,it recommends an optimal number of smart backup controllers for use with different levels of DDoS *** goal of the model is to improve resistance to DDoS attacks while optimizing the overall cost based on the *** simulated results demonstrate that the model is useful in planning for SDN reliability in the presence of DDoS attacks while managing the overall cost.

关键词： SDN automated controller placement SBC ILP DDoS attack

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