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Showing 1 to 20 of 593 for “"Input data"”.

  1. Automated input data management in manufacturing process simulation

    Ettefaghian, AlirezaUniversity of Greenwich2015

    Input Data Management (IDM) is a time consuming and costly process for Discrete Event Simulation (DES) projects. Input Data Management is considered as the basis of real-time process simulation (Bergmann, Stelzer and Strassburger, 2011). According to Bengtsson et al. (2009), data input phase …

    greenwich Repository record

  2. Control of vibrating systems with random input data: a numerical study

    Marín Marín, Francisco Javier2018

    upc-spain Repository record

  3. The effects of input data degradation on hydrological model performance for a snowmelt dominated watershed

    McKim, Scott D., author, Fassnacht, Steven R., advisorColorado State University. Libraries2006

    The quality and quantity of hydrometeorological data used as input to a hydrologic model is varied and the output compared to observed historical flows. Temperature and precipitation data were used to feed the National Weather Service River Forecast System (NWSRFS); this hydrologic model outputs …

    colostate Repository record

  4. A Comparison Between Elemental Concentrations and Elemental Percentages as Input Data for Target Transformation Factor Analysis

    Shih, Yung-Ho2017

    Made available in DSpace on 2017-07-06T18:56:21Z (GMT). No. of bitstreams: 3 Shih_Yung-Ho_MS.pdf: 25457266 bytes, checksum: e5aa6846a979fd48a1853e8a42fd27b7 (MD5) Shih_Yung-Ho_MS_ABS.pdf: 542943 bytes, checksum: d8c3a56076be214fb50285b431673036 (MD5) license.txt: 4813 bytes, checksum: …

    uiuc Repository record

  5. A Study on Data Imbalance: Using Metrics on Input Data to Foresee Bias and Fairness in Classification Outcomes

    MECATI, MARIACHIARAPolitecnico di Torino2023

    Abstract presente tra gli allegati

    poli-torino Repository record

  6. An Integrated Framework for Automated Data Collection and Processing for Discrete Event Simulation Models

    Rodriguez, Carlos

    … in different disciplines. DES models require data in order to determine the different parameters that drive the simulations. The literature about DES input data management indicates that the preparation of necessary input data is often a highly manual process, which causes inefficiencies, …

    ucf

  7. Computational Privacy with Split Learning: Benchmarking of Algorithmic Defenses against Reconstruction Attacks

    Zhang, Emily T.Massachusetts Institute of Technology2021

    … potential for significant impact in preserving data privacy and improving model accuracy by leveraging massive sets of training data. However, passing intermediate weights, gradients, or activations is inherent in current distributed learning techniques, all of which contain information related …

    mit Repository record

  8. A user friendly preprocessor for plane and space frames and space trusses

    Pugh, James ChristopherVirginia Tech1989

    … is to allow the user to create error free input data files. This program also allows modifications of existing input data files. The two other programs are the library manager and the graphics presentation. The library manager is used to manage the libraries of the element and material …

    vt Repository record

  9. An Approach To Automating Data Collection For Simulation

    Portnaya, Irin

    … development tool in the manufacturing industry. Input data collection is a significant and complex event in the process of simulation. The simulation professionals have grown to accept it is as a strenuous but necessary task. Due to the nature of this task, data collection problems are numerous …

    ucf

  10. Triax dome modeling with I-DEAS 4.1

    Broyles, Donald L.Virginia Tech1990

    … of a preprocessor for the creation of the input data file. The use of a preprocessor could greatly accelerate the analysis process and prove to be more efficient. The primary objective of this thesis is to present a clear detailed procedure for the creation of the input data file using the …

    vt Repository record

  11. A fully Bayesian approach to uncertainty quantification of groundwater models

    Xu, TianfangUniversity of Illinois at Urbana-Champaign2016

    … groundwater models are often subject to input data errors, as some of the input forcings (such as recharge and well pumping rates) are unknown or estimated. Furthermore, model structural error is ubiquitous, due to simplification and/or misrepresentation of the real system. The presence …

    uiuc Repository record

  12. Predicting intensive care unit patient outcomes through patient similarity

    Park, Joseph Seung Young.Massachusetts Institute of Technology2019

    … We used the eICU Collaborative Research Database (eICU-CRD) v2.0 for the project. Different time varying and time constant features about the patient's demographics and clinical trajectory was used as input data, such as patient age and longitudinal blood pressure measurement. Using this …

    mit Repository record

  13. Implementation Of A Mechanistic- Empirical Pavement Design Method For Uruguayan Roadways

    Scavone LaSalle, MartinVirginia Tech2019

    … Such predicting power demands richer input data, computational power, and calibration of the empirical components against distress measurements in the field. In an effort to spearhead the transition to M-E design in Uruguay, the aim of this Project is twofold: (1) develop an …

    vt Repository record

  14. A multi-attribute layout design problem

    Mishra, PrateerVirginia Polytechnic Institute and State University1992

    … of a layout to the change in flow related input data. An analysis is performed to study the affect of change in flow related input data on the final layout and a measure is developed for determining the criticality of a given layout to the change in flow related input data for the case of …

    vt Repository record

  15. Contributions to Long-Term Electricity System Expansion Planning Through the Systematic Treatment of Data Uncertainty and Operational Assumptions

    Auret, ChristinaStellenbosch : Stellenbosch University2026

    … validation problems: determining the accuracy of input data and assumptions, the limitations of historical validation, and uncertainty in parameter requirements for unit commitment models used for validation. Two aspects of the first problem are explored. The first concerns the uncertainty …

    stellenbosch Repository record

  16. Inversion for subbottom sound velocity profiles in the deep and shallow ocean

    Souza, Luiz Alberto Lopes deMassachusetts Institute of Technology2005

    … integral equation is evaluated. The input data is the complex plane-wave refection coefficient estimated from measurements of acoustic pressure in water. We apply the method to experimental data and estimate both the refection coefficient and the seabed svp. A rigorous inversion …

    mit Repository record

  17. Geoacoustic inversion by mode amplitude perturbation

    Poole, Travis L.Massachusetts Institute of Technology and Woods Hole Oceanographic Institution2007

    … properties of the seafloor in shallow water. The input data required by the algorithm are estimates of the amplitudes of the normal modes excited by a low-frequency pure-tone sound source, and estimates of the water column sound speed profiles at the source and receiver positions. The algorithm …

    woods-hole Repository record

  18. Geoacoustic inversion by mode amplitude perturbation

    Poole, Travis LMassachusetts Institute of Technology2007

    … properties of the seafloor in shallow water. The input data required by the algorithm are estimates of the amplitudes of the normal modes excited by a low-frequency pure-tone sound source, and estimates of the water column sound speed profiles at the source and receiver positions. The algorithm …

    mit Repository record

  19. Vliv rozcvičení na explosivní sílu dolních končetin ve fotbale

    Löffelmann, AdamUniverzita Karlova, Fakulta tělesné výchovy a sportu2017

    … these three warm-up variants. Methods To obtain data was the measurement method in this thesis. At first was took input data without warming-up. After participants passed 6 warm-up in two weeks. Static stretching, dynamic stretching and dynamic stretching with power elements every week. 2 tested …

    charles-prague Repository record

  20. High Precision Dynamic Power System Frequency Estimation Algorithm Based on Phasor Approach

    Zhang, XuanVirginia Tech2004

    … algorithm disclose that, for non-pure sinusoidal input (as compared to pure sinusoidal input), significant errors in the output frequency will result. Three approaches for increasing the accuracy of the output frequency were compared. The first---increasing the number of samples per cycle …

    vt Repository record

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