Contributors: UnaElsLive Natra
... MD-2831 Update Java version in the Docker containers
Contributors: Anton du Plessis
... This dataset is a full 3D dataset from microCT of a 10 mm cube of Ti6Al4V produced by a Laser Powder Bed Fusion system. The data was obtained using a standard protocol and the image analysis steps are described in this protocol also. The data is provided here for researchers to attempt the same analysis on this data. The cube presented here is an integral part of a round robin test where the same cube was microCT scanned at 10 different laboratories. This dataset is the data from the reference lab, lab 1 in the round robin manuscript. Voxel size is 15 micron
Contributors: Juan_Gabriel Rueda-Bayona
... the folder contains input and setup files of the article An Alternative Method to Determine Extreme Hydrodynamic Forces with Data Limitations for Offshore Engineering
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Contributors: UnaElsLive Natra, mdgmatest5 live
... RDM - File Type Support 21May2019 ElsCustomer Apart from .u3d all files preview [ .obj / .ply / .vtk / .stl / .ent / .brk / .pdb / .pse / .mol / .mol2 / .cif / .u3d / .dcm / .nii] - .pse is not supported
Data for: Thermodynamics of an austenitic stainless steel (AISI-348) through in situ TEM heavy ion irradiations
Contributors: Matheus A. Tunes, Graeme Greaves, Thomas M. Kremmer, Vladimir M. Vishnyakov, Philip D. Edmondson, Stefan Pogatscher, Stephen E. Donnelly, Claudio Schon
... This dataset contains processed and raw data necessary to reproduce the reported research investigation. The steps to reproduce this research are detailed described in the Materials and Method section in our paper.
Contributors: Mohamed RHAZZAF, Tawfik MASROUR
... this source code proposes a dynamic parameterization approach to the ant colony optimization algorithm configuration applied to multi-objective optimization problems. Indeed, the inertia of the static vision of the pheromone or visibility preferences values makes our dynamic approach a desired approach. We propose a model based on a collective knowledge center shared by the colony members, storing the best configurations based on the old experiments of the colony during the learning phase on random problems. The construction of this center is based on a statistical and qualitative study of the evaluation criteria that will be explained over the paper. Our model gives results that show a rise in quality of the outputs, as well as a proof of concept of the artificial learning approach.
Contributors: Yazan Abdoush
... The S-transform (ST) is a popular linear time-frequency (TF) transform with hybrid characteristics from the short-time Fourier transform (STFT) and the wavelet transform. It enables a multi-resolution TF analysis and returns globally referenced local phase information, but its expensive computational requirements often overshadow its other desirable features. In this paper, we develop a fully discrete ST (DST) with a controllable TF sampling scheme based on a filter-bank interpretation. The presented DST splits the analyzed signal into subband channels whose bandwidths increase progressively in a fully controllable manner, providing a frequency resolution that can be varied and made as high as required, which is a desirable property for processing oscillatory signals lacked by previously presented DSTs. Thanks to its flexible sampling scheme, the behavior of the developed transform in the TF domain can be adjusted easily; with specific parameter settings, for example, it samples the TF domain dyadically, while by choosing different settings, it may act as a STFT. The spectral partitioning is performed through asymmetric raised-cosine windows whose collective amplitude is unitary over the signal spectrum to ensure that the transform is easily and exactly invertible. The proposed DST retains all the appealing properties of the original ST, representing a local image of the Fourier transform; it requires low computational complexity and returns a modest number of TF coefficients. To confirm its effectiveness, the developed transform is utilized for different applications using real-world and synthetic signals.
Contributors: Museo de Zoología QCAZ, Andres Terneux, Damián Nicolalde, Daniel Nicolalde, SAMAEL PADILLA
... Labeled dataset of frog calls recorded at Yasuní National Park using directional and omni-directional microphones. We trained a Bayesian classifier with Gaussian Mixture Models and applied it to study the audio in Unidentified Long Recordings. The results of the analysis are in the related article. We showed that the application of a frog-call recognition algorithm allows the estimation of presence-absence of the trained subset of species in real-world recordings of an actual amphibian monitoring made in the wild.
Contributors: Adam Hill
... Presented is the source code for the CrystalGrower Visualiser: a visualisation package for use with the CrystalGrower simulation tool. The visualiser software is open source for users to modify. Source code is formatted for use with Visual Studio 2015 or later. This program allows users to visualise and study simulations performed with the CrystalGrower program. Images and movies can be captured using this tool and presented for use in publications or presentations. Visualisation methods include: natural tiling, spheres and atoms + bonds, dependent on the structures selected. The CrystalGrower Visualiser can display zeolite, MOF, molecular, ionic and atomic crystals. File manuals are included for both the CG and CGV, with examples provided for all file types