Given the shortcomings of the traditional Golden Jackal Optimization (GJO) algorithm, including limited accuracy and slow convergence speed in solving mobile robot path planning problems, an improved adaptive Golden J...
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This paper explores the critical issue of enhancing cybersecurity measures for low-cost, Wi-Fi-based Unmanned Aerial Vehicles (UAVs) against Distributed Denial of Service (DDoS) attacks. In the current work, we have e...
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ISBN:
(数字)9798350358513
ISBN:
(纸本)9798350358520
This paper explores the critical issue of enhancing cybersecurity measures for low-cost, Wi-Fi-based Unmanned Aerial Vehicles (UAVs) against Distributed Denial of Service (DDoS) attacks. In the current work, we have explored three variants of DDoS attacks, namely Transmission Control Protocol (TCP), Internet Control Message Protocol (ICMP), and TCP + ICMP flooding attacks, and developed a detection mechanism that runs on the companion computer of the UAV system. As a part of the detection mechanism, we have evaluated various machine learning, and deep learning algorithms, such as XGBoost, Isolation Forest, Long Short-Term Memory (LSTM), Bidirectional-LSTM (Bi-LSTM), LSTM with attention, Bi-LSTM with attention, and Time Series Transformer (TST) in terms of various classification metrics. Our evaluation reveals that algorithms with attention mechanisms outperform their counterparts in general, and TST stands out as the most efficient model with a run time of ~0.1 seconds. TST has demonstrated an F1 score of 0.999, 0.997, and 0.943 for TCP, ICMP, and TCP + ICMP flooding attacks respectively. In this work, we present the necessary steps required to build an onboard DDoS detection mechanism. Further, we also present the ablation study to identify the best TST hyperparameters for DDoS detection, and we have also underscored the advantage of adapting learnable positional embeddings in TST for DDoS detection with an improvement in F1 score from 0.94 to 0.99.
This paper explores the critical issue of enhancing cybersecurity measures for low-cost, Wi-Fi-based Unmanned Aerial Vehicles (UAVs) against Distributed Denial of Service (DDoS) attacks. In the current work, we have e...
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In the paper,stability analysis of a class of incommensurate fractional-order systems(IFOS) is *** sufficient conditions are based on the linear matrix inequality(LMI) and straightforwardly used to solve the feasible ...
In the paper,stability analysis of a class of incommensurate fractional-order systems(IFOS) is *** sufficient conditions are based on the linear matrix inequality(LMI) and straightforwardly used to solve the feasible solutions with the LMI ***,two examples including a circuit example are given to illustrate the effectiveness of the proposed method,and the comparison with the previous results shows that the proposed method is less conservative.
Machine vision has numerous uses and is currently at the forefront of research in this field. In this paper, for monocular vision systems, we mainly compare the monocular camera hand-eye calibration results and errors...
Machine vision has numerous uses and is currently at the forefront of research in this field. In this paper, for monocular vision systems, we mainly compare the monocular camera hand-eye calibration results and errors of two vision software platforms, and analyze the possible causes of errors to provide an idea for obtaining accurate hand-eye calibration results. And this paper derives the accuracy chain of hand-eye calibration from the whole process of hand-eye calibration, and analyzes the causes of errors in the hand-eye calibration results from each link in the accuracy chain. The results show that the accuracy of the hand-eye calibration results of Halcon software platform is higher than that of OpenCV calibration results, and the error from the robot arm can be reduced by using the relative coordinate system of the robot arm considering the direction of the hand-eye calibration accuracy chain analysis.
With the development of computer-related technologies, robot technology and machine vision technology have also been greatly improved. The intelligent sorting system composed of traditional robots and machine vision c...
With the development of computer-related technologies, robot technology and machine vision technology have also been greatly improved. The intelligent sorting system composed of traditional robots and machine vision can not only reduce production costs, but also improve the efficiency and accuracy of sorting operations. With these advantages, the machine sorting system is gradually replacing the manual sorting system. It develops in the direction of networking, automation, collaboration and intelligence, and has extremely broad development prospects. Therefore, this paper discusses and analyzes the composition, classification and application of the intelligent sorting system in detail, and expounds the key technologies. At the same time, the intelligent sorting system proposed in this paper is introduced. Finally, the current development of intelligent sorting system is summarized, and the future development trend is prospected.
This study investigates the effects of data transformation techniques on the performance of various machine learning classification models. Specifically, the standard scaler (or Z-score) and min-max scaler techniques ...
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In this study, a delicate fractional-order fast terminal sliding mode controller is proposed for the position and attitude tracking of a quadrotor UAV under actuator saturation. In this controller, the fractional orde...
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The problem of high-precision attitude tracking is studied in this paper under model uncertainty and external disturbance risk. First of all, the kinematics and dynamics model of rigid body is derived based on the qua...
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To improve the power-extraction performance of the Savonius vertical-axis wind turbine(S-VAWT),additional cylinders,which are used to control the fluid flow around the wind turbine blade,were introduced into the blade...
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To improve the power-extraction performance of the Savonius vertical-axis wind turbine(S-VAWT),additional cylinders,which are used to control the fluid flow around the wind turbine blade,were introduced into the blade *** contrast to the traditional numerical method,a mathematical model in the form of a dynamical system was used in this study.A numerical calculation program that could effectively solve the equations of wind-induced rotation of S-VAWT was developed,and combined with the Taguchi experimental method to investigate the influence of additional cylinders on the power-extraction characteristics of the *** results showed that the additional cylinders have a significant impact on the power-extraction performance of the *** 4-m/s wind speed,the average power coefficient of the S-VAWT with additional cylinders is 15%higher than that of the conventional *** construction of the wind turbine prototype and power-extraction tests,the results showed that compared with a conventional S-VAWT,the output power was 29%higher for the S-VAWT with additional cylinders under the same particular conditions.
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