With the development of the Internet and the digital age continues to advance, traditional operation and maintenance methods can no longer meet the maintenance of large-scale distributed systems, AIOps emerges as the ...
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To improve the robustness of video transmission over heterogeneous wireless network various error resilient tools are deployed. The impact of bit errors on the perceived video quality depends on several factors, such ...
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A car-like robot with an Ackermann steering system is a type of nonholonomic which is characterised by a set of first-order differential constraints on its configuration variables, which are not integrable. This disti...
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ISBN:
(数字)9798350365191
ISBN:
(纸本)9798350365207
A car-like robot with an Ackermann steering system is a type of nonholonomic which is characterised by a set of first-order differential constraints on its configuration variables, which are not integrable. This distinctive characteristic gives rise to complex issues in the construction of feedback controllers. This research proposes reactive control using a feedback controller using PID algorithm for a car-like robot navigation. The proposed method controls the steering angle of the car-like robot to follow the prescribed path with a constant longitudinal robot velocity. The open-loop car-like dynamical system has been formulated in the form of state-space model. Two PID controllers in parallel computed the lateral position error and the yaw angle error. The summation of the two outputs from the PID controllers was inputted into the state-space model. The PID controller parameters were selected based on trial and error. The simulation results confirm the effectiveness of the proposed control algorithm.
In this paper, we present the development of interior magnet motors with concentrated windings, which reduce the eddy current loss of the magnets. First, the mechanism of the magnet eddy current loss generation is inv...
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Ceph is a scalable and high performance distributed file system. In this study, a Ceph-based storage server was implemented and used actively. This storage system has been used as a disk of 40 virtual servers in 4 dif...
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Artificial neural networks have transformed machine learning and had a significant impact on a wide range of industries, including robotics, deep learning, healthcare, sports, and surveillance. Convolutional Neural Ne...
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Cloud computing is usually defined to deliver infrastructure, platform and software as services, which is available as a pay-as-you-go model for users. A paradigm of Cloud computing for EDA service is presented in thi...
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Tiny Machine Learning (TinyML) applications impose µJ/Inference constraints, with a maximum power consumption of tens of mW. It is extremely challenging to meet these requirements at a reasonable accuracy level. ...
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Event-based sensors are drawing increasing attention due to their high temporal resolution, low power consumption, and low bandwidth. To efficiently extract semantically meaningful information from sparse data streams...
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Establishing reliable data exchange in an underwater domain using energy and power-efficient communication methods is crucial and challenging. Radio frequencies are absorbed by the salty and mineral-rich water and opt...
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