1,466 research outputs found
The lowest scattering state of one-dimensional Bose gas with attractive interactions
We investigate the lowest scattering state of one-dimensional Bose gas with
attractive interactions trapped in a hard wall trap. By solving the Bethe
ansatz equation numerically we determine the full energy spectrum and the exact
wave function for different attractive interaction parameters. The resultant
density distribution, momentum distribution, reduced one body density matrix
and two body correlation show that the decreased attractive interaction induces
rich density profiles and specific correlation properties in the weakly
attractive Bose gas.Comment: 6 pages, 6figure
Exact Weighted-FBP Algorithm for Three-Orthogonal-Circular Scanning Reconstruction
Recently, 3D image fusion reconstruction using a FDK algorithm along three-orthogonal circular isocentric orbits has been proposed. On the other hand, we know that 3D image reconstruction based on three-orthogonal circular isocentric orbits is sufficient in the sense of Tuy data sufficiency condition. Therefore the datum obtained from three-orthogonal circular isocentric orbits can derive an exact reconstruction algorithm. In this paper, an exact weighted-FBP algorithm with three-orthogonal circular isocentric orbits is derived by means of Katsevich's equations of filtering lines based on a circle trajectory and a modified weighted form of Tuy's reconstruction scheme
Vegetation Mapping of Mammoth Cave National Park using Multi-date Landsat-8 Imagery and Lidar data
Up-to-date and detailed vegetation map provides critical information for habitat management. In addition, a vegetation map is necessary for the Park’s Fire Management, for classification of fuel types, and for delineation of fire management units. There have been several attempts of vegetation mapping in 1934, 1975 and 1997. Recent advancements in mapping technology and the availability of high resolution Lidar data call for a new vegetation map for the Park’s management team.
In this study, Landsat-8 Operational Land Imager (OLI) imagery, Lidar and geology dataset were applied to vegetation mapping. Habitat types are determined by a combination of geology, aspect and slope. Coniferous and deciduous trees are distinguished using multi-date Landsat-8 imagery through image classification and NDVI analysis. Habitat type and physical properties derived from Lidar data will be applied to identify specific vegetation species.
The research will produce a new vegetation map and a habitat map for the Mammoth Cave National Park. The maps will provide critical information for habitat and fire management. The research method integrating Lidar and Landsat-8 data in digital vegetation and habitat mapping will be valuable for similar projects at other locations
The fundamental gap of a kind of two dimensional sub-elliptic operator
This paper is concerned at the minimization fundamental gap problem for a
class of two-dimensional degenerate sub-elliptic operators. We establish
existence results for weak solutions, Sobolev embedding theorem and spectral
theory of sub-elliptic operators. We provide the existence and characterization
theorems for extremizing potentials when is subject to
norm constraint
Screw lifetime prediction based on wavelet neural network and empirical mode decomposition
To predict residual lifetime of ball screw, screw lifetime prediction technology based on wavelet neural network (WNN) and empirical mode decomposition (EMD) is proposed. Screw accelerated lifetime test platform is introduced. Accelerometers are installed to monitor ball screw lifetime. With the method of principal component analysis (PCA), high dimension features are mapped to low dimensional space and stored into sample library together with screw expected remaining lifetime. Training samples and testing samples are randomly selected from the sample library to train and test the WNN. Then EMD is used to extract output tendency of WNN. Finally, screw lifetime prediction model can be obtained. The experimental results show that the maximum error of the training samples is 602 hours while the maximum error of the testing samples is 652 hours, which meet the need of screw lifetime prediction
- …