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3rd International Conference on Energy, Power and electrical engineering, EPEE 2023

作者： Han, Jiajun Ji, Xiaoqing Feng, Junrui Zhang, Caopeng Dehghanian, Payman Yang, Dechang College of Information and Electrical Engineering China Agricultural University Beijing China George Washington University Department of Electrical and Computer Engineering Washington United States

ISBN: (纸本)9798350318180

In order to improve the energy utilization and reduce carbon emissions of the integrated energy system, this paper proposes an optimal scheduling strategy for the integrated energy system including hydrogen energy and carbon capture taking into account the demand-side response mechanism. Firstly, in order to give full play to the efficient and clean characteristics of hydrogen energy on the source side, a heterogeneous energy synergistic operation framework is constructed containing electrolyzer, methanation device, hydrogen fuel cell and carbon capture system, secondly on the load side, a transfer-type and substitution-type demand response model is established, and a wind-carbon/hydrogen/storage low-carbon optimal dispatch model is constructed with the minimum system operation cost and carbon emission. Example analysis shows that the proposed model and method can effectively reduce carbon emissions and improve the stability and economy of the system at the same time. © 2023 IEEE.

关键词： carbon capture demand-side response mechanisms hydrogen energy integrated energy systems

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Misuse of Wi-Fi Data to Analyze User Behaviour 15

Misuse of Wi-Fi Data to Analyze User Behaviour

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15th International Conference Elektro, ELEKTRO 2024

作者： Kapicak, Lukas Stipal, Jiri Trubak, Kamil Machnik, Petr Burdiak, Patrik Rozhon, Jan VSB-Technical University of Ostrava Faculty of Electrical Engineering and Computer Science Department of Telecommunications Ostrava Czech Republic

ISBN: (纸本)9798350372359

There has been a huge increase in the number of mobile devices over the past few years. Many mobile users own more than one mobile device. Compared to conventional laptops, mobile devices are constantly active and their users use them outdoors more often than personal computers. Compared to desktop computers, mobile devices accompany their owners on their travels and therefore there is a significant risk of tracking and eavesdropping on user data without a user being aware of it. This paper describes techniques how the attacker could track users by using the Wireless Fidelity (Wi-Fi) network. Every mobile device generates traffic that can be divided into 'Automatic' and 'User'. When' Automatic' traffic is generated, the device can be found because of its pattern. The paper also describes how the attacker can get into the victim's Wi-Fi network without being in its range. When breaching the Wi-Fi network security, the attacker can connect to the victim's network during his first appearance in range of this network. Security pre-cautions and possible directions of future work are discussed at the end of this paper. © 2024 IEEE.

关键词： Personal computers

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Secure Communication Protocols for Enhancing Privacy in 5G Mobile Networks 13

Secure Communication Protocols for Enhancing Privacy in 5G M...

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13th IEEE International Conference on Communication Systems and Network Technologies, CSNT 2024

作者： Pillai, Sanjaikanth E Vadakkethil Somanathan Vaddadi, Srinivas A School of Electrical Engineering and Computer Science University of North Dakota Grand Forks United States University of the Cumberlands Department of Information Technology WilliamsburgKY United States

ISBN: (纸本)9798350305463

The 5G mobile network is innovative in providing low-latency conversation services. However, this new era brings massive issues around privacy and safety. With the boom in linked and Internet of Things (IoT) gadgets, the danger of touchy information being accessed through unauthorized activities will increase. Cozy communication protocols are essential to decorating privacy in 5G mobile networks. The protocols use advanced encryption and authentication techniques to protect records transmitted over the net. Further, they deploy at-ease channels among devices to prevent interception and manipulation of the use of malicious actors. One of the number one protocols for securing conversation in 5G networks is the 5G Authentication and Key settlement. This protocol employs mutual authentication and a significant era of the equipment and the network, ensuring that the handiest prison devices can accurately enter the network and that the transmitted records are encrypted and protected. © 2024 IEEE.

关键词： Wireless networks

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Early Recognition and Ranking of Knee Osteoarthritis by the Assistance of Enhanced Deep Learning on Knee MR Image Data 8th

Early Recognition and Ranking of Knee Osteoarthritis by the ...

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8th International Conference on computers, Management and Mathematical sciences, ICCM 2022

作者： Murali, Molleti Bala Purnima, Varigala Sai Laxmi, Kodamanchili Venkata Sampath, Rajana Sai Mahanty, Mohan Department of Computer Science and Engineering Vignan’s Institute of Information Technology-Duvvada Andhra Pradesh Visakhapatnam India

ISBN: (纸本)9783031511660

Osteoarthritis (OA) of the knee is an inflammation that impacts the knee bone due to the significant weight-bearing of the body. The disease results in degeneration and rupture of the cartilage elements in the knee joint, causing severe pain. Unfortunately, the prevalence of OA has been increasing globally, with a 113.25% increase in cases from 1990 to 2019. Currently, more than 350 million people globally suffer from arthritis, and it is estimated that by 2040, about 78 million US adults will have this condition. The diagnosis of OA is primarily carried out by evaluating symptoms and comparing plain radiographs, which can be subjective. However, Convolution Neural Networks (CNNs), one of the best deep learning technological advances, are currently attracting interest as a potential remedy for healthcare problems. Consequently, this study’s objective aims to design and implement a categorization scheme that can aid doctors in reducing their workload and assist rheumatologists in assessing the severity of the pain accurately. Furthermore, this will enable them to make the best diagnosis and recommend the most appropriate treatment. By using our proposed model, i.e., Enhanced MobileNet-V2, rheumatologists can make informed decisions on the severity of the condition, which can lead to better treatment outcomes for the patients. The proposed model Enhanced MobileNet-V2 was trained on the digital knee X-ray image dataset and achieved 91% accuracy. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Diagnosis

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Optimal IoT Based Improved Deep Learning Model for Medical Image Classification

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computers, Materials & Continua 2022年第11期73卷 2275-2291页

作者： Prasanalakshmi Balaji B.Sri Revathi Praveetha Gobinathan Shermin Shamsudheen Thavavel Vaiyapuri Department of Computer Science King Khalid UniversitySaudi Arabia School of Electrical Engineering Vellore Institute of TechnologyIndia Department of Computer Science Jazan UniversitySaudi Arabia College of Computer Engineering and Science Prince Sattam bin Abdulaziz UniversitySaudi Arabia

Recently medical image classification plays a vital role in medical image retrieval and computer-aided diagnosis *** deep learning has proved to be superior to previous approaches that depend on handcrafted features;it remains difficult to implement because of the high intra-class variance and inter-class similarity generated by the wide range of imaging modalities and clinical *** Internet of Things(IoT)in healthcare systems is quickly becoming a viable alternative for delivering high-quality medical treatment in today’s e-healthcare *** recent years,the Internet of Things(IoT)has been identified as one of the most interesting research subjects in the field of health care,notably in the field of medical image *** medical picture analysis,researchers used a combination of machine and deep learning techniques as well as artificial *** newly discovered approaches are employed to determine diseases,which may aid medical specialists in disease diagnosis at an earlier stage,giving precise,reliable,efficient,and timely results,and lowering death *** on this insight,a novel optimal IoT-based improved deep learning model named optimization-driven deep belief neural network(ODBNN)is proposed in this *** context,primarily image quality enhancement procedures like noise removal and contrast normalization are *** the preprocessed image is subjected to feature extraction techniques in which intensity histogram,an average pixel of RGB channels,first-order statistics,Grey Level Co-Occurrence Matrix,Discrete Wavelet Transform,and Local Binary Pattern measures are *** extracting these sets of features,the May Fly optimization technique is adopted to select the most relevant *** selected features are fed into the proposed classification algorithm in terms of classifying similar input images into similar *** proposed model is evaluated in terms of accuracy,precision,recall,and f-

关键词： Deep belief neural network mayfly optimization gaussian filter contrast normalization grey level variance local binary pattern discrete wavelet transform

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Multi-Criteria Decision-Making Model to Achieve Sustainable Developmental Goals in Industry 4.0 for Smart City Infrastructure

HighTech and Innovation Journal

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HighTech and Innovation Journal 2024年第4期5卷 1135-1153页

作者： Akila, D. Pal, Souvik Sarkar, Bikramjit Jayalaksshmi, S. Muthaiyah, Saravanan Anbananthen, Kalaiarasi Sonai Muthu Department of Computer Applications Saveetha College of Liberal Arts and Sciences Saveetha Institute of Medical and Technical Sciences India Department of Management Information Systems Saveethas College of Liberal Arts and Sciences Saveetha Institute of Medical and Technical Sciences India Department of Computer Science and Engineering JIS College of Engineering Kalyani India Department of Information Technology Vels Institute of Science Technology and Advanced Studies India School of Business and Technology International Medical University Kuala Lumpur57000 Malaysia Faculty of Information Science and Technology Multimedia University Melaka75450 Malaysia

Due to a shortage of funding and other market challenges, Small and Medium-sized Enterprises (SMEs) face difficulties in adopting new technologies. Numerous technological obstacles negatively impact the long-term commercial achievement of SMEs. The deployment of Industry 4.0hopes to resolve these technological challenges. A sustainable city is a complex structure where economic, societal, and ecological components interact and compete. There is a scarcity of l methodologies for measuring interactions in this complex structure. Industry 4.0 aims to obtain higher performance effectiveness, profitability, and automation. The main goal is to develop a reliable method of evaluating small and medium-sized enterprises (SMEs) adopting Industry 4.0 technologies, particularly concerning smart city applications. This paper aims to determine the influence of Industry 4.0 in fostering economic efficiency and sustainability amongst these SMEs. The study introduces a multi-criteria decision-making (SC-MCDM) system designed to test an SME’s achievement of their targeted sustainable developmental goals. A technique for computing the interaction between various standards, i.e., (static interactions and dynamical pattern resemblance), as well as the weightage of variables of every indicator generated by the connection, is included within SC-MCDM. Furthermore, applying the suggested technique is validated by assessing the sustainable development goals of twelve Chinese cities within the Triple Bottom Line (TBL) paradigm. From a geographic-temporal viewpoint, spatial variations in city sustainability reveal regional sustainable inequalities. Indicator scores suggest that the most significant factors for most communities are the lack of research spending, falling financing in stationary assets, shortage of financial development, and inadequate shared transit. Furthermore, the growth of tertiary industries, improvement of energy performance, expansion of green areas, and reduction of poll

关键词： Sustainable city

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Task Scheduling Optimization in Cloud Computing by Rao Algorithm

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computers, Materials & Continua 2022年第9期72卷 4339-4356页

作者： A.Younes M.KhElnahary Monagi H.Alkinani Hamdy H.El-Sayed Faculty of Computers and Information Department of Computer ScienceSohag UniversitySohag82524Egypt Department of Computer Science and Artificial Intelligence College of Computer Science and EngineeringUniversity of JeddahJeddah21959Saudi Arabia

Cloud computing is currently dominated within the space of highperformance distributed computing and it provides resource polling and ondemand services through the ***,task scheduling problem becomes a very important analysis space within the field of a cloud computing environment as a result of user’s services demand modification *** main purpose of task scheduling is to assign tasks to available processors to produce minimum schedule length without violating precedence *** heterogeneous multiprocessor systems,task assignments and schedules have a significant impact on system *** the heuristic-based task scheduling algorithm,the different processes will lead to a different task execution time(makespan)on a heterogeneous computing ***,a good scheduling algorithm should be able to set precedence efficiently for every subtask depending on the resources required to reduce(makespan).In this paper,we propose a new efficient task scheduling algorithm in cloud computing systems based on RAO algorithm to solve an important task and schedule a heterogeneous multiple processing *** basic idea of this process is to exploit the advantages of heuristic-based algorithms to reduce space search and time to get the best *** evaluate our algorithm’s performance by applying it to three examples with a different number of tasks and *** experimental results show that the proposed approach significantly succeeded in finding the optimal solutions than others in terms of the time of task implementation.

关键词： Heterogeneous processors RAO algorithm heuristic algorithms task scheduling multiprocessing cloud computing

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Design and research on automatic insertion and bending wire device for power socket and soft wire connections 4

Design and research on automatic insertion and bending wire ...

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4th International Conference on Mechanical engineering, Intelligent Manufacturing, and Automation Technology, MEMAT 2023

作者： Gao, Zan Yang, Rui Fan, Yong Xie, Wu Zhang, Huimin Guilin University of Electronic Technology School of Mechanical and Electrical Engineering Guilin541214 China Guilin University of Electronic Technology School of Computer Science and Information Security Guilin541214 China Guangxi Normal University School of Computer Science and Information Engineering Guilin541004 China

ISBN: (纸本)9781510674820

To solve the problem of low efficiency involved in manually inserting power sockets into soft wires, a new system called an automatic insertion wire device of mechanical arm as a part of intelligent agents has been designed. It has a manipulator end lead channel actuator, a two-degree-of-freedom manipulator, a scissor bending mechanism and a control system. A coordinate system has been established for kinematics analyses and inverse kinematics solution. The joint angles of the manipulator when reaching the terminal hole of the power socket are 47.7° and 91.3° for joint angles 1 and 2, respectively. The motions of the scissor bending mechanism are analyzed using a coordinate system, and the rotation angle of support rod 1 is found to be 32.3° after the completion of soft wire bending. A model of the actuator and scissor bending mechanism is created using SolidWorks, and motion simulations are carried out to verify the insertion of soft wire. A prototype is built and tested, which demonstrates that the angle variation range of the soft wire head part due to push block movement is between 58° and 63°, while the angle variation range of the shear fork bending mechanism to other parts of the soft wire is between 168° and 173°. All parameters meet the anticipated goal, effectively resolving the problem of low efficiency. © 2024 SPIE.

关键词： Wire

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Reputation-based Resource Allocation Prioritization in 6G: A Coalitional Game Theoretic Approach 15

Reputation-based Resource Allocation Prioritization in 6G: A...

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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Pathak, Vivek Rathore, Muktesh Singh Sharma, Aryan Pandya, Rahul Jashvantbhai Department of Electrical Engineering Indian Institute of Technology Dharwad India Department of Engineering Physics Indian Institute of Technology Dharwad India Department of Computer Science and Engineering Indian Institute of Technology Dharwad India

ISBN: (纸本)9798350370249

Exploiting the 0.1-10 THz spectrum range in sixth-generation (6G) wireless networks promises significant advancements;however, it presents challenges in resource allocation (RA) and security to meet diverse user demands. This paper introduces a novel approach integrating blockchain technology (BCT) and deep learning (DL) for small base station (SBS) coalition formation (CF) and RA. We address critical challenges in dynamic RA and CF, presenting a comprehensive framework grounded in both theoretical and simulation-based analyses. By leveraging BCT, secure retrieval of reputation data is ensured, thereby establishing trust within the network. Our proposed algorithm dynamically optimizes the reputation-to-demand (R/D) ratios, prioritizing SBSs with higher R/D ratios for RA, thus enhancing network efficiency. Further, notable improvements in network performance metrics, validated through extensive simulations and theoretical calculations. The adaptability of the algorithm allows SBSs to enhance their reputation via increased upload capacity and coalition participation. Utilizing Shapley values and network monitoring, the algorithm optimizes CF and the operational status of SBSs. The stability and reliability of the network are assured through Nash equilibrium checks and reputation integrity verification. This comprehensive implementation illustrates that our proposed methodology offers an efficient solution to dynamic wireless challenges, optimizing RA and CF in evolving environments. The integration of DL and BCT provides a robust framework for efficient wireless network management. Our simulations lay a strong foundation for future research in 6G network optimization, emphasizing the proposed solutions’ practical applicability, scalability, and resilience. Key innovations include dynamic R/D ratio optimization, blockchain-based secure reputation data retrieval, adaptable reputation improvement algorithms, efficient coalition formation using Shapley values, Nash equili

关键词： Resource allocation

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Optimizing Parachute Payload Delivery through Wind Gust Analysis

Optimizing Parachute Payload Delivery through Wind Gust Anal...

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AIAA science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Ho, Franklin D.-K. Lomax, John C. Mueller, Mark W. Department of Mechanical Engineering University of California BerkeleyCA94720 United States Department of Electrical Engineering and Computer Science University of California BerkeleyCA94720 United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

Precision payload delivery methods currently involve a winch to lower a payload attached to a cable or an actuated parachute with a closed-loop control system to adjust the trajectory of the payload. We propose a novel, entirely passive parachute-deployed payload delivery system that overcomes the challenges of wind gusts blowing payloads off-course. Preliminary testing indicates that parachutes are capable of landing two meters from a target, while numerical simulations of ideal conditions show a one-meter precision level. In this paper, we propose statistical analysis and time series analysis of wind behavior to account for the stochastic, gusty nature of wind. We also present methods to study the aerodynamic properties of the parachute-payload system and a kinematic analysis of how the parachute moves horizontally and vertically. We also show the theoretical implementation of in-situ wind velocity measurements by extrapolating drone disturbances during flight. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Stochastic systems

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