Embedded systems are increasingly susceptible to attack from malicious software, posing a significant threat to critical infrastructure and data. Various shreds of evidence reveal the unknown nature of attacks. In thi...
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ISBN:
(纸本)9798350349603;9798350349597
Embedded systems are increasingly susceptible to attack from malicious software, posing a significant threat to critical infrastructure and data. Various shreds of evidence reveal the unknown nature of attacks. In this manuscript, we propose a novel abnormal behaviour monitoring and detection system by designing a self-supervised hardware-based Self-Organizing Map (SOM) algorithm which continuously monitors the execution status of an embedded program and the behaviour of the entire platform as a whole. Our design boasts low resource utilization, high speed, effectiveness, and broad compatibility, making it suitable for real-time detection of malicious behaviour in resource-constrained embedded systems. Experimental trials were conducted on the Piccolo RISC-V processor being proto-typed on an FPGA, which achieved an impressive 96% accuracy in detecting malicious programs, at the cost of a marginal 10% increase in resource consumption in comparison to its vanilla counterpart.
Although frequency domain analysis theory has been widely used in many signal analysis fields and some practical examples have been reported, the traditional automatic test systems have limited signal analysis ability...
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In this paper, for the AGV navigation path planning algorithm design problems, explored and researched the idea and implementation process of the A(star) algorithm, constructed the experimental environment model of AG...
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ISBN:
(纸本)9798400708305
In this paper, for the AGV navigation path planning algorithm design problems, explored and researched the idea and implementation process of the A(star) algorithm, constructed the experimental environment model of AGV navigation path planning by using grid graphs, and carried out experiments with the help of simulation tools to verify the impact of different neighborhood node expansion search methods on the path planning speed in the A(star) algorithm. From the experimental data comparison and analysis results, it is concluded that the node expansion search method plays a key role in the efficiency of path planning. The results of the exploration research will provide a certain reference basis for the correct selection of node neighborhood expansion search method for AGV navigation route path planning in the actual production environment.
intelligent glasses technology is one of the representative technologies emerging in the field of artificial intelligence in recent years. Introduction of intelligent glasses system into aviation maintenance quality i...
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The most prevalent object detection algorithms are predominantly developed using NVIDIA's Compute Unified Device Architecture (CUDA) and are optimised for NVIDIA hardware. In view of the growing complexity and vol...
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With the advancement of car intelligence and connectivity, automotive information security has become an important area of national concern. In order to ensure the information security of intelligent connected vehicle...
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It is well known that energy has become one of the essential factors for the development of human civilization. As a new type of energy source, fusion energy is considered to be the most promising and effective way to...
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With the rapid development of the transportation network, efficient and accurate asphalt pavement maintenance has become an urgent need. Traditional pavement condition evaluation methods are time-consuming, inefficien...
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The "VTU Question Classification system Based on BERT and Bloom's Taxonomy"integrates advanced Natural Language Processing (NLP) techniques to automate the classification of questions related to educatio...
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Bushings are critical components of ultra-high voltage transmission systems, and their performance is intimately tied to the safety and stability of the power system. The application of adaptive composite materials in...
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ISBN:
(纸本)9798350374995;9798350374988
Bushings are critical components of ultra-high voltage transmission systems, and their performance is intimately tied to the safety and stability of the power system. The application of adaptive composite materials in bushing can realize active field grading of spatial electric fields, opening up a disruptive path for innovative technology. To determine the electrical performance design criteria for the adaptive bushing, this paper discusses the various types of discharge that may occur in the novel adaptive bushing during AC electrical tests. The electric field intensity values during discharge were verified using a combination of simulation and experimental methods. Multiple test prototypes of self-equalizing bushings with various discharge defects were created, and their initial partial discharge voltages were confirmed using partial discharge testing. The finite element simulation models corresponding to the test prototypes were created, the electric field distributions were calculated, and the electric field intensity values at discharge were determined. During the design of the self-equalizing bushing, the maximum allowable air-side electric field value of 2.0 kV/mm and the maximum allowable electric field value of 8.5 kV/mm for the main insulation resin-impregnated glass fiber material were determined using these values and certain design margins.
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