Data Validation Package
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Piv Data Validation Software Package
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Author : James L. Blackshire
language : en
Publisher:
Release Date : 1997
Piv Data Validation Software Package written by James L. Blackshire and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with categories.
Performance Evaluation Of A Data Validation System
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Author : Edmond Wong
language : en
Publisher: BiblioGov
Release Date : 2013-07
Performance Evaluation Of A Data Validation System written by Edmond Wong and has been published by BiblioGov this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07 with categories.
Online data validation is a performance-enhancing component of modern control and health management systems. It is essential that performance of the data validation system be verified prior to its use in a control and health management system. A new Data Qualification and Validation (DQV) Test-bed application was developed to provide a systematic test environment for this performance verification. The DQV Test-bed was used to evaluate a model-based data validation package known as the Data Quality Validation Studio (DQVS). DQVS was employed as the primary data validation component of a rocket engine health management (EHM) system developed under NASA's NGLT (Next Generation Launch Technology) program. In this paper, the DQVS and DQV Test-bed software applications are described, and the DQV Test-bed verification procedure for this EHM system application is presented. Test-bed results are summarized and implications for EHM system performance improvements are discussed.
Performance Evaluation Of A Data Validation System
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Author : National Aeronautics and Space Administration (NASA)
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2018-06-24
Performance Evaluation Of A Data Validation System written by National Aeronautics and Space Administration (NASA) and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-24 with categories.
Online data validation is a performance-enhancing component of modern control and health management systems. It is essential that performance of the data validation system be verified prior to its use in a control and health management system. A new Data Qualification and Validation (DQV) Test-bed application was developed to provide a systematic test environment for this performance verification. The DQV Test-bed was used to evaluate a model-based data validation package known as the Data Quality Validation Studio (DQVS). DQVS was employed as the primary data validation component of a rocket engine health management (EHM) system developed under NASA's NGLT (Next Generation Launch Technology) program. In this paper, the DQVS and DQV Test-bed software applications are described, and the DQV Test-bed verification procedure for this EHM system application is presented. Test-bed results are summarized and implications for EHM system performance improvements are discussed. Wong, Edmond (Technical Monitor) and Sowers, T. Shane and Santi, L. Michael and Bickford, Randall L. Glenn Research Center NASA/CR-2005-21383, E-15170, AIAA Paper 2005-4486
Data Validation Package April And July 2015 Groundwater And Surface Water Sampling At The Gunnison Colorado Processing Site
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Author :
language : en
Publisher:
Release Date : 2016
Data Validation Package April And July 2015 Groundwater And Surface Water Sampling At The Gunnison Colorado Processing Site written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
This event included annual sampling of groundwater and surface water locations at the Gunnison, Colorado, Processing Site. Sampling and analyses were conducted as specified in Sampling and Analysis Plan for U.S. Department of Energy Office of Legacy Management Sites. Samples were collected from 28 monitoring wells, three domestic wells, and six surface locations in April at the processing site as specified in the 2010 Ground Water Compliance Action Plan for the Gunnison, Colorado, Processing Site. Domestic wells 0476 and 0477 were sampled in July because the homes were unoccupied in April, and the wells were not in use. Duplicate samples were collected from locations 0113, 0248, and 0477. One equipment blank was collected during this sampling event. Water levels were measured at all monitoring wells that were sampled. No issues were identified during the data validation process that requires additional action or follow-up.
Building Machine Learning Pipelines
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Author : Hannes Hapke
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2020-07-13
Building Machine Learning Pipelines written by Hannes Hapke and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-13 with Computers categories.
Companies are spending billions on machine learning projects, but it’s money wasted if the models can’t be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem. You’ll learn the techniques and tools that will cut deployment time from days to minutes, so that you can focus on developing new models rather than maintaining legacy systems. Data scientists, machine learning engineers, and DevOps engineers will discover how to go beyond model development to successfully productize their data science projects, while managers will better understand the role they play in helping to accelerate these projects. Understand the steps to build a machine learning pipeline Build your pipeline using components from TensorFlow Extended Orchestrate your machine learning pipeline with Apache Beam, Apache Airflow, and Kubeflow Pipelines Work with data using TensorFlow Data Validation and TensorFlow Transform Analyze a model in detail using TensorFlow Model Analysis Examine fairness and bias in your model performance Deploy models with TensorFlow Serving or TensorFlow Lite for mobile devices Learn privacy-preserving machine learning techniques
Sampling And Analysis Of Environmental Chemical Pollutants
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Author : E. P. Popek
language : en
Publisher: Academic Press
Release Date : 2003-07-08
Sampling And Analysis Of Environmental Chemical Pollutants written by E. P. Popek and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-07-08 with Language Arts & Disciplines categories.
An excellent introduction to the real world of environmental work, this book covers all phases of data collection, (planning, field sampling, laboratory analysis, and data quality assessment), and is a single source comprehensive reference for the resolution of the most common problems that environmental professionals face daily in their work. (Midwest).
Data Validation Package April And June 2016 Groundwater And Surface Water Sampling At The Gunnison Colorado Processing Site October 2016
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Author :
language : en
Publisher:
Release Date : 2016
Data Validation Package April And June 2016 Groundwater And Surface Water Sampling At The Gunnison Colorado Processing Site October 2016 written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
This event included annual sampling of groundwater and surface water locations at the Gunnison, Colorado, Processing Site. Sampling and analyses were conducted as specified in Sampling and Analysis Plan for US Department of Energy Office of Legacy Management Sites (LMS/PRO/S04351, continually updated, http://energy.gov/lm/downloads/sampling-and analysis-plan-us-department-energy-office-legacy-management-sites). Samples were collected from 28 monitoring wells, three domestic wells, and six surface locations in April at the processing site as specified in the draft 2010 Ground Water Compliance Action Plan for the Gunnison, Colorado, Processing Site. Planned monitoring locations are shown in Attachment 1, Sampling and Analysis Work Order. Domestic wells 0476 and 0477 were sampled in June because the homes were unoccupied in April, and the wells were not in use. Duplicate samples were collected from locations 0126, 0477, and 0780. One equipment blank was collected during this sampling event. Water levels were measured at all monitoring wells that were sampled. See Attachment 2, Trip Reports for additional details. The analytical data and associated qualifiers can be viewed in environmental database reports and are also available for viewing with dynamic mapping via the GEMS (Geospatial Environmental Mapping System) website at http://gems.lm.doe.gov/#. No issues were identified during the data validation process that requires additional action or follow-up. An assessment of anomalous data is included in Attachment 3. Interpretation and presentation of results, including an assessment ofthe natural flushing compliance strategy, will be reported in the upcoming 2016 Verification Monitoring Report. U.S.
Statistical Data Cleaning With Applications In R
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Author : Mark van der Loo
language : en
Publisher: John Wiley & Sons
Release Date : 2018-04-23
Statistical Data Cleaning With Applications In R written by Mark van der Loo and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-23 with Computers categories.
A comprehensive guide to automated statistical data cleaning The production of clean data is a complex and time-consuming process that requires both technical know-how and statistical expertise. Statistical Data Cleaning brings together a wide range of techniques for cleaning textual, numeric or categorical data. This book examines technical data cleaning methods relating to data representation and data structure. A prominent role is given to statistical data validation, data cleaning based on predefined restrictions, and data cleaning strategy. Key features: Focuses on the automation of data cleaning methods, including both theory and applications written in R. Enables the reader to design data cleaning processes for either one-off analytical purposes or for setting up production systems that clean data on a regular basis. Explores statistical techniques for solving issues such as incompleteness, contradictions and outliers, integration of data cleaning components and quality monitoring. Supported by an accompanying website featuring data and R code. This book enables data scientists and statistical analysts working with data to deepen their understanding of data cleaning as well as to upgrade their practical data cleaning skills. It can also be used as material for a course in data cleaning and analyses.
Fundamentals Of Environmental Sampling
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Author : Keith Bodger
language : en
Publisher: Rowman & Littlefield
Release Date : 2003
Fundamentals Of Environmental Sampling written by Keith Bodger and has been published by Rowman & Littlefield this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Environmental sampling categories.
This easy-to-use reference not only provides you with a basic understanding of environmental sampling concepts, but it also provides you with the information you need to perform your tasks with ease and efficiency. Whether you use it to train samplers or take it in the field with you for easy reference, Fundamentals of Environmental Sampling contains information all samplers need to better understand the science of their work. You will review key principles of geology and chemistry, and you will examine typical sampling techniques and their relationship to EPA and ASTM guidelines. The author discusses how these sample collection techniques affect analytical data and how data collection methods affect the validity and defensibility of data in a court of law. In addition, you will examine project management fundamentals, challenges of working in natural environments, and managing data and reporting to the client. Fundamentals of Environmental Sampling covers major sampling media--including groundwater, soil, surface water, and air--and discusses how to choose the right equipment for each job. A list of "must have" tools is included in the author's recommended "Ideal Tool Kit" along with common uses for each, descriptions of usage, and tips on buying them.
Data Validation Package July 2016 Groundwater Sampling At The Gunnison Colorado Disposal Site
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Author :
language : en
Publisher:
Release Date : 2016
Data Validation Package July 2016 Groundwater Sampling At The Gunnison Colorado Disposal Site written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
Groundwater sampling at the Gunnison, Colorado, Disposal Site is conducted every 5 years to monitor disposal cell performance. During this event, samples were collected from eight monitoring wells as specified in the 1997 Long-Term Surveillance Plan for the Gunnison, Colorado, Disposal Site. Sampling and analyses were conducted as specified in the Sampling and Analysis Plan for US Department of Energy Office of Legacy Management Sites (LMS/PRO/S04351, continually updated, http://energy.gov/lm/downloads/sampling-and analysis-plan-us-department-energy-office-legacy-management-sites). Planned monitoring locations are shown in Attachment 1, Sampling and Analysis Work Order. A duplicate sample was collected from location 0723. Water levels were measured at all monitoring wells that were sampled and seven additional wells. The analytical data and associated qualifiers can be viewed in environmental database reports and are also available for viewing with dynamic mapping via the GEMS (Geospatial Environmental Mapping System) website at http://gems.lm.doe.gov/#. No issues were identified during the data validation process that require additional action or follow-up.