We employ a simple and accurate dimensional interpolation formula for the shapes of random walks at = 3 and = 2 based on the analytically known solutions at both limits = ∞ and = 1. The results obtained for the radius of gyration of an arbitrary shaped object have about 2% error compared with accurate numerical results at = 3 and = 2. We also calculated the asphericity for a three-dimensional random walk using the dimensional interpolation formula. The results agree very well with the numerically simulated results. The method is general and can be used to estimate other properties of random walks.
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http://dx.doi.org/10.1021/acs.jpca.1c05551 | DOI Listing |
Sensors (Basel)
December 2024
Department of Roadway Engineering, School of Transportation, Southeast University, Nanjing 211189, China.
Ground-Penetrating Radar (GPR) has demonstrated significant advantages in the non-destructive detection of road structural defects due to its speed, safety, and efficiency. This paper proposes a three-dimensional (3D) reconstruction method for GPR images, integrating the back-projection (BP) imaging algorithm to accurately determine the size, location, and other parameters of road structural defects. Initially, GPR detection images were preprocessed, including direct wave removal and wavelet denoising, followed by the application of the BP algorithm to effectively restore the defect's location and size.
View Article and Find Full Text PDFNeural Netw
December 2024
College of Science, North China University of Science and Technology, Tangshan, 063210, China. Electronic address:
The class imbalance problem is one of the difficult factors affecting the performance of traditional classifiers. The oversampling technique is the most common way to solve the class imbalance problem. They alleviate the performance impact of the class imbalance problem on traditional machine learning by augmenting minority instance feature representation.
View Article and Find Full Text PDFRev Sci Instrum
January 2025
School of Instrument Science and Opto-Electronic Engineering, Hefei University of Technology, Hefei 230009, China.
In multi-dimensional nanopositioning and nanomeasuring devices, interference measurement is widely used. The three-dimensional (3D) target mirror serves as the spatial reference plane to achieve multidimensional interference measurements. However, the surface shape errors of the target mirror are superimposed on the geometric dimensions of the measured workpiece, which limits the system's overall measurement accuracy.
View Article and Find Full Text PDFNeuroimage
January 2025
Department of Computer Science, University of California, Irvine, Irvine, CA 92617, USA. Electronic address:
Biomimetics (Basel)
December 2024
Air Traffic Management Institute, Civil Aviation Flight University of China, Deyang 618307, China.
This paper proposes an Improved Spider Wasp Optimizer (ISWO) to address inaccuracies in calculating the population (N) during iterations of the SWO algorithm. By innovating the population iteration formula and integrating the advantages of Differential Evolution and the Crayfish Optimization Algorithm, along with introducing an opposition-based learning strategy, ISWO accelerates convergence. The adaptive parameters trade-off probability (TR) and crossover probability (Cr) are dynamically updated to balance the exploration and exploitation phases.
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