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Article Synopsis
  • The paper discusses a new control algorithm for robotic manipulators that addresses issues like complex structures and uncertainties.
  • It utilizes fuzzy set theory to tackle system uncertainties and ensures the system's performance remains stable (uniform boundedness and uniform ultimate boundedness).
  • The proposed method has been validated through numerical simulations and experiments, demonstrating its effectiveness in optimizing controller settings.
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With the digital transformation of the manufacturing industry, data monitoring and collecting in the manufacturing process become essential. Pointer meter reading recognition (PMRR) is a key element in data monitoring throughout the manufacturing process. However, existing PMRR methods have low accuracy and insufficient robustness due to issues such as blur, uneven illumination, tilt, and complex backgrounds in meter images.

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Maintaining good oral hygiene is essential for preventing and managing oral health problems. This systematic review aimed to identify and assess clinical practice guidelines on oral hygiene, focusing on quality and key areas. A comprehensive search was conducted in PubMed, CINAHL, Scopus, Cochrane, and organizational websites.

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Local corner smoothing based on deep learning for CNC machine tools.

Sci Rep

January 2025

College of Intelligent systems Science and Engineering, Harbin Engineering University, Harbin, 150006, China.

Most of toolpaths for machining is composed of series of short linear segments (G01 command), which limits the feedrate and machining quality. To generate a smooth machining path, a new optimization strategy is proposed to optimize the toolpath at the curvature level. First, the three essential components of optimization are introduced, and the local corner smoothness is converted into an optimization problem.

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The risk assessment and prevention in traditional airport safety assurance usually rely on human experience for analysis, and there are problems such as heavy manual workload, excessive subjectivity, and significant limitations. This article proposed a risk assessment and prevention mechanism for airport security assurance that integrated LSTM algorithm. It analyzed the causes of malfunctioning flights by collecting airport flight safety log datasets.

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