In this paper, a key negotiation method based on the local noise system error parameters is proposed, where the negotiating parties use the addition of Gaussian white noise at the receiving end to encrypt the received...
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ISBN:
(纸本)9798331530372;9798331530365
In this paper, a key negotiation method based on the local noise system error parameters is proposed, where the negotiating parties use the addition of Gaussian white noise at the receiving end to encrypt the received signals, thus ensuring the randomness of the negotiated key. The negotiation method is verified through simulation and its performance is analysed. Under the condition that the mean of the noise standard deviation distribution is 0.28, the quantification coefficient is 0.3, and the segment length is 1000, its negotiation efficiency can reach more than 80%, and the agreement rate of the two parties' keys can reach more than 98%.
In this paper, we present a novel study on a BEV (bird's eye view) image-based lane tracking control system for an autonomous lane repainting robot. Our research introduces a cutting-edge lane detection method bas...
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ISBN:
(纸本)9798350377712;9798350377705
In this paper, we present a novel study on a BEV (bird's eye view) image-based lane tracking control system for an autonomous lane repainting robot. Our research introduces a cutting-edge lane detection method based on BEV images, leveraging row-anchor techniques to enhance precision and provide detailed error information for lane tracking algorithms. By utilizing real-time sensor data and advanced deep learning processes, we have successfully implemented a high-performance lane repainting system that minimizes errors and ensures accuracy. Our proposed position-based visual pure pursuit algorithm (PV-PP) plays a crucial role in guiding the lane repainting process with precision and efficiency, ultimately improving the functionality and feasibility of the linear actuator responsible for paint spraying in the real indusrial fields. Through our contributions, including innovative lane detection methods, real-time sensor utilization, and robot control algorithm design, we aim to advance the field of autonomous lane repainting robots and enhance the safety and effectiveness of road maintenance operations.
Disturbances play a pivotal role in influencing the performance of complex non-linear systems aimed at achieving specific tasks. Despite the widespread use of the Proportional Integral Differential (PID) controller ac...
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Cloud computing refers to the delivery of resources over the internet, enabling users to access computing services such as storage, networking, and databases. Workload prediction in cloud computing involves forecastin...
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With the vigorous development of the construction industry, the market demand for automatic controlsystems is increasing, and it has attracted domestic and foreign automation system manufacturers to continuously impr...
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A cyber-physical-social system (CPSS) is a brand-new paradigm of cyber-physical and cyber-social systems that integrates dynamic stochastic hybrid systems including computation, communication, sensing and actuation, a...
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Currently, several studies are being developed using machine Learning with the aim of replacing real sensors with virtual sensors. One of the biggest challenges is obtaining quality data to enable the system modeling....
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ISBN:
(纸本)9798331531768;9798331531751
Currently, several studies are being developed using machine Learning with the aim of replacing real sensors with virtual sensors. One of the biggest challenges is obtaining quality data to enable the system modeling. This article proposes the replacement of a light dependent resistor sensor, applied to a refrigerator, which detects whether the door is open or closed and an anomaly test when the door is forgotten open for too long. The use of tiny machine learning is applied to ESP32 to enable the use of regression and classification models to detect the door opening and anomaly. The tested metrics for the regression were the root mean squared error. The comparative results between the virtual and real sensors are satisfactory with an accuracy of 99.59% for classification and a root mean squared error value of 0.01 for regression. Furthermore, a prototype was developed, and the model was embedded in the ESP32 microcontroller.
The computing hardware and software tools for virtualizing and isolating execution environments have matured, enabling a paradigm shift towards cloud computing and containerization. Unfortunately, the use of these tec...
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ISBN:
(纸本)9798350323856
The computing hardware and software tools for virtualizing and isolating execution environments have matured, enabling a paradigm shift towards cloud computing and containerization. Unfortunately, the use of these technologies in traditional computing is largely limited to servers and systems administered by professional IT teams. At another extreme, mobile device operating systems extensively leverage isolation to prevent malicious activity from mobile applications. In stark contrast, despite possessing the resources to support virtual machines, traditional endpoint systems tend to have a single execution environment for all of a user's activity. In this work, we explore the usability challenges that may prevent widespread use of isolation mechanisms, such as virtual machines, on traditional computing endpoints. We explore systems using a common workflow, where a user wants to experiment with a new software tool, to compare existing virtualization systems and motivate a new design. We use keystrokelevel modeling to quantitatively compare systems and identify optimization opportunities.
In order to solve the problem of certain errors in the speed control method of permanent magnet brushless direct current(BLDC) motor, this paper proposes a characteristic modeling method based on vector control, and a...
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In the construction of smart legal teaching based on the R platform, in terms of teaching concept, it is necessary to pay attention to the cultivation of morality;in terms of education mode, it is necessary to emphasi...
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