### 3595 results

Contributors: Mohamed Amine Bouhlel, Sicheng HE, Joaquim R. R. A. Martins

Date: 2019-08-12

... This data set contains scripts and dataset needed to reproduce the results in the following paper: Mohamed Amine Bouhlel, Sicheng He, and Joaquim R. R. A. Martins. Scalable gradient-enhanced artificial neural networks forairfoil shape design in the subsonic and transonic regimes. In this paper, we mainly produced three studies: * An analytical test case stored in the repository "Rosenbrock": This repository contains the dataset for running the training and validation of the models. It also contains three repositories ANN, SANN, and mSANN that contains the scripts needed to rerun the models, respectively. * The airfoil shape design analysis test case in both subsonic and transonic regimes in the repository "Analysis/mSANN": This repository contains three repositories "cd", "cl", and "cd" for training the mSANN model on the aerodynamic coefficients. Each sub-repository contains the dataset (for training, validation, and testing the model) and two script files run.py and prediction.py for training the neural network and make predictions. * The airfoil shape design optimization test case in both subsonic and transonic regimes in the repossitory "Optimization": This repository contains two repositories "subsonic" and "transonic" for running an optimization either using the mSANN model or CFD.

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Contributors: MRITYUNJAY SINGH, Abhijit Chaudhuri, Philip H Stauffer, Rajesh J Pawar

Date: 2019-08-11

... Simulations were performed using FEHM. Sample input and output files for some cases are given here. The names of the files are self-explanatory.

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Contributors: khalid aloufi

Date: 2019-08-08

... Quran Dataset is a collection of different format of the Holy book of Quran. The dataset is presented in the original file in word format. also, for database application developer or researcher, the SQL files are available as well. For Semantic web application, the RDF resources are available. From the RDF files small part of the figure are developed in SVG format, which can be extended to all file using different tools to transform RDF to figure files. Another format is available , which is the CSV format , which can be used to view the data in any text editor program such as MS Excel or simple text editors. All format are made available for the help of researcher or developer.

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Contributors: Zhanni Luo

Date: 2019-08-06

... This dataset presents the gaze path and fixation data generated by different types of learners while they are viewing pictures-and-text with different arrangements. The learning styles in this study are based on the Felder and Silverman Learning Style Theory (FSLSM), in which learners were categorized into four groups: Active/Reflective, Sensing/Intuitive, Visual/Verbal and Global/Sequential.

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Contributors: Ioana Necula, Gema Maria Diaz-Toca

Date: 2019-08-05

... File "codigoAlgs.txt" contains the Maple code which implements two algorithms for transforming cartesian coordinates into geodetic coordinates. File "codigoAlgs.mw" contains a couple of examples.

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Contributors: Alexey Ukhalov

Date: 2019-08-03

... The data set contains matrices having maximal known determinant of various orders (up to 119). Data taken from the site http://www.indiana.edu/~maxdet/ In our dataset, matrices are presented in machine-readable form, convenient for use in programs. We used these data in the preparation of articles 1) Nevskii, M.V. & Ukhalov, A.Y. On Minimal Absorption Index for an n-Dimensional Simplex. Automatic Control and Computer Sciences. 2018. Volume 52, Issue 7, pp 680–687. https://doi.org/10.3103/S0146411618070209 In Russian: Nevskii M.V., Ukhalov A.Y. On Minimal Absorption Index for an n-Dimensional Simplex. Modeling and Analysis of Information Systems. 2018. Volume 25, No 1, pp. 140-150. (In Russ.) https://doi.org/10.18255/1818-1015-2018-1-140-150 2) Nevskii, M.V. & Ukhalov, A.Y. On Optimal Interpolation by Linear Functions on n-Dimensional Cube. Automatic Control and Computer Sciences. 2018. Volume 52, Issue 7, pp 828–842. https://doi.org/10.3103/S0146411618070283 In Russian: Nevskii M.V., Ukhalov A.Y. On Optimal Interpolation by Linear Functions on an n-Dimensional Cube. Modeling and Analysis of Information Systems. 2018. Volume 25, No 3, pp. 291-311. (In Russ.) https://doi.org/10.18255/1818-1015-2018-3-291-311 3) Nevskii, M. and Ukhalov, A. Properties of (0, 1)-matrices of order n having maximal determinant. Mathematical notes of NEFU. 2019. Volume 26, No 2, pp. 109-115. https://doi.org/10.25587/SVFU.2019.102.31516 Definitions, basic facts and formulas can be found in the listed works. See also the bibliography in these articles. We also present some programs in the Wolfram Language that were used in the above researches. Each file is presented in three formats: Wolfram Mathematica Notebook, PDF, and Plain Text. Files: 1) Matrices_Plus_Minus_One_MaxDet - matrices of various order 2) Hadamard_24 - sixty Hadamard matrices of order 24 3) Calculating_Procedures - some functions for processing matrices 4) Tests - examples of using functions and calculations with data

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Contributors: Kirill Mikhailov, Viatcheslav ivanenko

Date: 2019-08-03

... Supplementary material for: Mikhailov, K.V., Ivanenko, V.N. (2019). https://doi.org/10.1016/j.ympev.2019.106574 Funding: The reanalysis of the dataset was conducted with support of the Russian Foundation for Basic Research (grants #18-04-01192).

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Contributors: Eusebio de la Fuente

Date: 2019-08-02

... This dataset contain the code, test videos and the results of the developed algorithm. The detection is based on texture analysis using the LBP technique.

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Contributors: Raci Berk Islim, Hakan Durbaba, Sule Itir Satoglu

Date: 2019-07-31

... Since there is no data available in the literature or through internet, we really made an effort to find real data and try to estimate non-available data through available ones, correctly. Scalar and parameters of the mathematical model in the study are estimated according to assumptions shown as below, and are given in folders. Assumptions • There are 3 source of glass containers. These are from recycle bins, HORECA and other waste recyclers, and those amounts are estimated according to some past data. • All cost parameters are foreknown which are calculated from real data, and will be shown in detail. • Cost parameters will be determined with estimated inflation rate for the future periods and revenue parameters will be determined according to government payments per ton of recycled glass. • Glass container consumption is directly proportional with the population of a town. So, for districts in which this data does not exist, the amount of glass can be collected through recycle bins is estimated according to their populations. • The glass container source from other recyclers are assumed as 10% of total amount of glass containers available through recycle bins in each period. • At the beginning of first period, 10 million Turkish Liras (TL) budget is available. Thereby, Bp parameter becomes 10,000,000 for the first period and 0 for the rest of periods. • For operational side of glass recycling facility, we have stayed in touch with a real firm named “Cam Kırığı” located in Gebze/Istanbul through telephone interviews to get data (telephone interview, March 2019). • The information about the glass manufacturer belongs to Sisecam Company, which is biggest glass manufacturer in Turkey. • Equivalent cost parameters for future periods will be adjusted according to official price increases and inflation expectations. • 1 year consists of 250 workdays. So, WD scalar becomes 250. • Distances between facilities and glass container sources are based on highway routes. • One driver and one assistant are required for each truck type 1 whereas only a driver is needed for truck type 2. So, these are summed with the required number of workers in the facility in order to find total number of personnel.

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Contributors: Artur Maciej, Wojciech Simka, Robert Socha, Martin Rabe, Grzegorz Dercz, Artur Wadas, Maciej Sowa

Date: 2019-07-31

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