Abstract: The Maximum Power Point Tracking (MPPT) algorithm subjected the PV parameters to changes under faulty and weather operations conditions during runtime, which influenced the results obtained.
Abstract: The visual-inertial simultaneous localization and mapping (VI-SLAM), which integrates data from monocular or stereo cameras, has garnered significant attention and development. The RGB-D ...
Abstract: The Tunnel Boring Machine (TBM) is a type of equipment utilized in tunnel construction. Its hob is used for boring and breaking rock, which tends to wear out and require frequent replacement ...
Abstract: Radar signal sorting is a crucial step in radar signal processing, and its accuracy directly affects the progress of electronic warfare. Numerous machine learning algorithms, such as K-Means ...
Abstract: Network Function Virtualization (NFV) is a popular technology, among which is Service Function Chain (SFC), a critical technology of modern communication networks. However, SFC needs to pass ...
Abstract: This paper presents the design and implementation of a high-precision fixed-point Fast Fourier Transform (FFT) algorithm utilizing Field Programmable Gate Array (FPGA) technology. As digital ...
Abstract: In order to improve the quality and efficiency of laser cladding, an optimized path planning method is proposed for curved parts. A 3D laser scanner is used to obtain the 3D point cloud data ...
Abstract: Accurately identifying feature points of welding seam is the premise to ensure welding accuracy. Line laser has been widely used in the field of automated welding. However, the algorithm for ...
Abstract: Optimization algorithm based on Pareto dominant strategy has been widely used in solving multi-objective optimization problems. However, the inappropriate search scope and dominance ...
A YouTube channel named 9nl has developed an open-source project on GitHub that is gaining attention for its approach to 3D reconstruction using point cloud data. The system combines both hardware and ...
Abstract: Heterogeneous image registration is a critical field in computer vision, with broad applications in scene registration, image retrieval, and autonomous driving. Due to differences in sensor ...
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