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Application of Improved Northern Goshawk Optimization Algorithm in Radar Networking Optimization

Application of Improved Northern Goshawk Optimization Algori...

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international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Shixing Liu Yian Liu Hailing Song Jiangnan University School of AI and Computer Science Wuxi China Naval Research Institute Beijing China

ISBN: (纸本)9781665454636

Aiming at the characteristics of many problems and difficulties in the optimization of radar system networking, a mathematical model of radar optimization networking is established, and an improved northern goshawk optimization algorithm is proposed. The algorithm initializes the population through the cubic chaotic map, adds nonlinear weight factors, and uses the Cauchy-Gaussian mixture mutation operator to perturb, and achieves a better optimization effect than the basic northern goshawk algorithm. Then, the improved northern goshawk optimization algorithm is used to solve the established radar optimization networking model, and two algorithms are selected for comparative analysis. Simulation experiments show that the radar networking scheme optimized by the improved northern goshawk optimization algorithm is effective, feasible and better.

关键词： Heuristic algorithms Computational modeling Sociology Radar detection Interference Mathematical models Statistics

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A Study on Cloud-based data integrity of outsourced data using Blockchain 5

A Study on Cloud-based data integrity of outsourced data usi...

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5th international Conference on Contemporary computing and Informatics, IC3I 2022

作者： Behl, Ritin Singh, Abhilasha Sinha, Amit SRM Institute of Science and Technology Department of Computer Science and Engineering NCR Campus Delhi-NCR Campus Delhi - Meerut Road Ghaziabad Uttar Pradesh Modinagar201204 India SRM Institute of Science and Technology Faculty of Engineering and Technology Department of Computer Science and Engineering Campus Delhi-NCR Campus Ghaziabad Uttar Pradesh Modinagar201204 India ABES Engineering College Department of Information Technology Campus-1 19th Km Stone NH 24 Uttar Pradesh Ghaziabad201009 India

ISBN: (纸本)9798350398267

As there has been a lot of headway in distributed computing for a long time, information security and believed registering are the fundamental difficulties in current distributed computing applications. To tackle this issue, numerous researchers have completed many examinations on this and proposed many models, including information uprightness tests and secure multi-party computation. Nonetheless, many of these arrangements deal with issues like unnecessary computational intricacy or the absence of adaptability. Dangers to information honesty are of principal significance, as messing with information may perniciously influence critical business choices. This issue is particularly evident in distributed computing conditions, where information proprietors can't handle essential information viewpoints, similar to the actual stockpiling of information and the control of its gets. Information uprightness is a significant job in distributed computing security and capacity administration. Henceforth, the information respectability conspires to give confirmation of the honesty of the put-away information in the cloud. Rethought information, as the critical part of cloud administration, has been generally utilized because of its comfort, low overhead, and high adaptability. To ensure the trustworthiness of re-appropriated information, the information proprietor (DO) generally embraces an outsider evaluator (TPA) to execute the information respectability check plot. Blockchain has, as of late, arisen as a fascinating innovation that, among others, gives convincing properties about information trustworthiness. This paper considers the utilization of Blockchain procedures to advance the present circumstance. Blockchain is a decentralized new circulated registering worldview. In this paper, we center around the honesty confirmation of reevaluated information in an untrusted climate, that is, how to work on the security and proficiency of information respectability checks withou

关键词： Blockchain

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Prediction of urban traffic congestion time by BPneural network

Prediction of urban traffic congestion time by BPneural netw...

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international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Liu Haoran Zhao Suyan Liu Xin Li Jie Shandong University of Science and Technology Qingdao China

ISBN: (纸本)9781665454636

This paper studies the time prediction of traffic congestion, through the real-time speed of the car, The free flow speed, the morning and evening peaks, the number of weeks, the average speed of the car in this section are used as independent variables, and the time of traffic congestion is studied as a dependent variable. Through the MATLAB R2014a numerical simulation software for BP neural network operation, the neuron input layer is the real-time speed, free flow speed, morning and evening peak, week number, and average vehicle speed factor of the car after processing. The prediction result is good, which proves that the model is effective and reliable, and can estimate the time of the vehicle passing through the crowded road section.

关键词： Roads Computational modeling Predictive models Reliability theory Mathematical models Real-time systems Automobiles

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Unmanned aerial vehicle trajectory planning based on enhanced sparrow search algorithm

Unmanned aerial vehicle trajectory planning based on enhance...

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international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Anru Tang Yian Liu Hailing Song Jiangnan University School of AI and Computer Science Wuxi China Naval Research Institute Beijing China

ISBN: (纸本)9781665454636

In order to solve the problems of the original sparrow search algorithm (SSA) in the unmanned aerial vehicle (UAV) trajectory planning, such as low optimization accuracy and slow convergence speed, an enhanced sparrow search algorithm (ESSA) was proposed. Firstly, Halton sequence was used to initialize the population to increase the diversity of the population and improve the subsequent search accuracy of the algorithm. Secondly, the quasi-reflection learning mechanism is introduced to improve the individual quality of the algorithm after each iteration, and improve the optimization accuracy and convergence speed of the algorithm. The improved algorithm is applied to the trajectory planning of the UAV, the results show that the flight cost of the UAV trajectory found by ESSA is lower and the convergence speed is faster.

关键词： Learning systems Costs Trajectory planning Sociology Autonomous aerial vehicles Search problems Trajectory

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Contour extraction method and implementation of active contour model algorithm based on N-order Bezier curve for cardiac medical images

Contour extraction method and implementation of active conto...

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international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Du Hailong Jiangsu Key Lab of IoT Application Technology Wuxi Taihu University Wuxi China

ISBN: (纸本)9781665454636

Optimize the active contour model. In the process of optimization, the n-order Bezier model curve is used to smooth the evolution curve of the active contour model to make it more smooth. The optimized curve is applied to the contour extraction and analysis of medical image, so as to promote the processing of medical image. The n-order Bezier curve algorithm is used to optimize the active contour model algorithm. The active contour model is a discrete point curve, and the active contour is smooth and seamless. The active contour obtained by the optimized algorithm is smooth and seamless, which is more suitable for image processing operations such as medical image and contour extraction of medical image. The algorithm of using n-order Bezier curve to optimize the active contour model should be applied to the image analysis of medical images.

关键词： Analytical models Image analysis Computational modeling distributed computing Optimization Active contours Biomedical imaging

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Overcomplete Deep Low-Rank Subspace Clustering

Overcomplete Deep Low-Rank Subspace Clustering

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international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Yongmeng Feng Congzhe You School of Computer Engineering Jiangsu University of Technology Changzhou Jiangsu China

ISBN: (纸本)9781665454636

Aiming at the fact that when the input data in the deep subspace clustering networks (DSC) has noise, its robustness is poor, the performance is significantly degraded, and the method has too many learnable parameters, we suggest an overcomplete deep low-rank subspace clustering (ODLRSC). The technique is easy to use, efficient, and has shown to be a great fit for subspace clustering. By inserting a fully connected linear layer and its transposition between the encoder and decoder in our suggested technique, we may automatically put rank restrictions on the learnt representations. Additionally, in order to obtain a more reliable representation of the input data for clustering, the characteristics of the under- and over-complete auto-encoder networks are fused in the encoder. Our technique beats DSC and other clustering algorithms in the field of clustering error, and can sustain high level of quality throughout a broad range of LRRs, according to experimental findings on benchmark datasets.

关键词： Computational modeling Clustering methods Clustering algorithms Benchmark testing Robustness Decoding distributed computing

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A Zero Trust approach for the cybersecurity of Industrial Control Systems 21

A Zero Trust approach for the cybersecurity of Industrial Co...

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21st IEEE international symposium on Network computing and applications, NCA 2022

作者： Zanasi, Claudio Magnanini, Federico Russo, Silvio Colajanni, Michele University of Bologna Department of Computer Science and Engineering Italy University of Modena and Reggio Emilia Department of Engineering 'Enzo Ferrari' Italy

ISBN: (纸本)9798350397307

Industrial plants are adopting an increasing number of digital interconnected technologies that are enriched by several software applications. The IT/OT convergence offers several benefits in terms of efficiency and flexibility but it opens as many issues in terms of cyber vulnerabilities because industrial plants were not designed to be open to Internet. The frequency of successful cyber attacks shows that typical security solutions are inadequate to the novel complexity of industrial contexts. This novel scenario requires original approaches differing from traditional multi-layer networking solutions that are applicable just to rigid and stable infrastructures. We explore the applicability of Zero Trust Architecture (ZTA) principles to the industrial context by designing, implementing and testing an integrated defensive solution. The results obtained through a working prototype show that it is possible to implement a Zero Trust identity-centric approach in an industrial context to increase the security and flexibility of the system while providing complete visibility over the entire network. The proposed approach can be used to strengthen legacy industrial systems that were designed for offline use, and to allow the adoption of innovative technologies that minimize the cyber risk for the overall infrastructure. © 2022 IEEE.

关键词： Cybersecurity

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Research On Modeling Method Of Transportation Cyber-Physical System

Research On Modeling Method Of Transportation Cyber-Physical...

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international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Xiaosheng Cai Haoduo Chen Lichen Zhang Faculty of Computer Science and Technology Guangdong University of Technology Guangzhou Guangdong Province China Faculty of Computer Science and Technology Guangdong University of Technology School of Information Engineering Guangzhou Vocational and Technical University of Science and Technology Guangzhou Guangdong Province China

ISBN: (纸本)9781665454636

Cyber-Physical Systems (CPS) has both continuous process and discrete operation in the application of traffic CPS. Therefore, based on the extended model theory, this paper introduces hierarchical model, colored set and timed attribute on the basis of prototype Petri Net, and proposes a Hierarchy Colored Timed Petri Net (HCTPN) model. In order to verify the usability of the proposed model, we modeled the vehicle and road units of Bus Rapid Transit (BRT), and simulated the scene of multiple passengers boarding. The final experiment showed that the proposed improved model could solve the safety problem of passengers boarding and alighting.

关键词： Analytical models Data security Computational modeling Petri nets Transportation Cyber-physical systems Data models

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Research on Unmanned Vehicle Path Planning based on Improved Bat Algorithm

Research on Unmanned Vehicle Path Planning based on Improved...

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international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Yizhu Jiang Yefu Wu Miao Wang Hubei Key Laboratory of Transportation Internet of Things School of Computer and Artificial Intelligence Wuhan University of Technology Wuhan Hubei P.R China Chongqing Guoyuan Port Co. Ltd Chongqing China

ISBN: (纸本)9781665454636

Vehicle driving technology has developed in the direction of informatization and intelligence, and the research hotspot is unmanned driving and path planning [1] . This paper proposes an improved bat algorithm (Improved Bat Algorithm, IBA). First, a weighted speed update mechanism is introduced in BA, so that with the increase of the number of iterations, the speed changes adaptively to avoid the algorithm falling into local extreme values prematurely. Then, in the subsequent iterations, the quadratic differential change mechanism is used to maintain the diversity of the bat population; and under the static road network, the optimal route is planned through the MAT LAB simulation experiment, which verifies that the IBA algorithm has better performance.

关键词： Roads Computational modeling Sociology Vehicle driving Path planning Statistics distributed computing

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Dynamic Domain ID Based on DDS for AIoT

Dynamic Domain ID Based on DDS for AIoT

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2023 international Conference on Advances in Artificial Intelligence and applications, AAIA 2023

作者： Su, Weibin Machica, Ivy Kim D. Dumdumaya, Cristina E. Gamboa, Randy S. Xu, Gang He, Zhengfang College of Information and Computing University of Southeastern Philippines Davao City8000 Philippines Edge Computing Network Engineering Research Center Yunnan Technology and Business University Kunming651701 China

ISBN: (纸本)9798400708268

A recent development in the field is the emergence of a novel Internet of Things (IoT) framework known as the Artificial Intelligence of Things (AIoT). Based on this framework, it can enable smart autonomous vehicles, unmanned aerial vehicles, and intelligent industrial production lines to effectively reduce costs and expand the scope of sensor perception by utilizing collaborative sensor networks and shared computing resources provided by edge computing. The sensor network formed by traditional internet has successfully achieved global unified wide area connectivity. However, for a certain control object, sensors that are far away from it do not need to participate in the control process, while local existing sensors fail due to the movement of the control object in a specific direction. So this requires a new type of network that can dynamically update the domain. To enhance the real-time responsiveness of regional communication involving controllers and controlled devices, it is essential for the network to establish dynamic local connections that adapt to the spatial location changes of cars, unmanned aerial vehicles, or production line logistics. As a response to this requirement, this paper introduces a novel edge computing distributed communication network and a dynamically updated domain identity architecture. Every endpoint node has the capability to autonomously form a local cluster based on its spatial location for signal transmission. By dynamically polling and accessing this cluster, it achieves close sharing of sensors and AI computing power, leading to a cost reduction in building a comprehensive intelligent control system compared to traditional single-machine AI systems. This holds significant potential for advancing the implementation of comprehensive AI projects. © 2023 Copyright held by the owner/author(s).

关键词： Edge computing

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