Underwater cables play an important role in marine energy development, island economic development, and national territorial security. Regular testing of them is a necessary means to ensure the safe and reliable opera...
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Tuberculosis (TB) is one of the leading causes of deaths globally, mainly in low- and middle-income countries. Early and accurate detection is crucial for effective treatment and disease control. In this paper, models...
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In order to improve the intelligence and water-saving efficiency of agricultural irrigation, an intelligent irrigation machine based on STM32 microprocessor with remote monitoring and control functions is proposed in ...
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In this work, a fleet system composed of N+1 vehicles is studied with consideration of uncertainty and possibly unknown external disturbances. Uncertainty may be caused by factors such as parameter changes, aerodynami...
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ISBN:
(纸本)9798350370058;9798350370164
In this work, a fleet system composed of N+1 vehicles is studied with consideration of uncertainty and possibly unknown external disturbances. Uncertainty may be caused by factors such as parameter changes, aerodynamics, and network malfunction, which change over time and are nonlinear. The system is designed aiming to avoid collision and form formation in the case of external disturbances. In this study, a unique robust control strategy is proposed and examined to ensure that the fleet system satisfies uniform boundedness and uniform ultimate boundedness. Finally, an experimental simulation is conducted using a fleet system consisting of four vehicles to verify the feasibility of the proposed robust control.
Currently, one of the most crucial jobs in information security is malware detection. Since hackers are always coming up with new ways to break into computer networks and systems, it's critical to have a reliable ...
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In vehicle damage claims, the intelligent damage determination method based on computer vision instead of manual observation has become the future direction of technology. In the process of wise damage determination, ...
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ISBN:
(纸本)9798350350319;9798350350302
In vehicle damage claims, the intelligent damage determination method based on computer vision instead of manual observation has become the future direction of technology. In the process of wise damage determination, because of the difficulty that the images taken manually cannot be quickly shot with the image quality applicable to the system, this paper proposes a keyframe selection method based on the YOLOv5 model, which solves the problems of convenience and ease of use of the intelligent damage determination system by adding the real-time operation guidance function at the time of the shooting. Firstly, the mobile real-time detection model YOLOv5 detects and counts the vehicle appearance parts. Secondly, the underlying logic determination model guides the user to complete the shooting distance adjustment. Experimenting with the self-built vehicle image data set, the average accuracy of mAP50 reached 94.1%, and YOLOv5 can meet the requirements of real-time and accuracy of keyframe selection in shooting environments such as uneven lighting and complex surrounding background.
Belt conveyors play an important role in the dry bulk material handing process. This paper presents an innovative approach to intelligent tracking and speed control for belt conveyors. The proposed method utilizes a r...
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ISBN:
(纸本)9798350386783;9798350386776
Belt conveyors play an important role in the dry bulk material handing process. This paper presents an innovative approach to intelligent tracking and speed control for belt conveyors. The proposed method utilizes a recursive fuzzy neural network for predictive control, which is particularly effective for managing nonlinear systems and unexpected events during operation. By establishing a sparse second-order matrix model derived from the dynamic model of the belt conveyor, a recursive neural network control is designed to achieve speed tracking. To validate the effectiveness of the proposed method, simulation experiments are conducted to optimize material flow rate and speed under real working conditions. The results demonstrate a remarkable 18.4% reduction in energy consumption, highlighting the practical benefits of this approach.
With the increasing demand for edge devices to deploy intelligent vision systems, heterogeneous processors have replaced homogeneous processors due to their advantages of low power consumption, high parallelism, and l...
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To better improve the productivity of discrete assembly shops and promote the application of intelligent manufacturing technology, the architecture of intelligent manufacturing in discrete assembly shops was put forwa...
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With the continuous development of computer network technology, artificial intelligence stands out. Although its technology is not mature enough, artificial intelligence is also a kind of human intelligence technology...
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