Sample records for quality control learn

  1. Learning Rewrite rules versus search control rules to improve plan quality

    E-Print Network [OSTI]

    Elio, Renée

    ]. That may partially explain why most of the search-control systems have been designed to automatically of planning experience. We designed two systems, Sys-REWRITE and Sys-SEARCH-CONTROL, that automaticallylearnLearning Rewrite rules versus search control rules to improve plan quality M. Afzal Upal1 and Renee

  2. Data Driven Quality Assurance and Quality Control

    Broader source: Energy.gov [DOE]

    "Data Driven Quality Assurance & Quality Control," Patrick Roche, Conservation Services Group. Provides an overview of data QA/QC system design.

  3. Water Quality Control Act (Tennessee)

    Broader source: Energy.gov [DOE]

    The Water Quality Control Act (WQCA) establishes the water pollution control program. The WQCA identifies the responsibilities and extent of authority for the Commissioner of the Water Quality...

  4. Water Quality Control (Texas)

    Broader source: Energy.gov [DOE]

    The policy of the state of Texas is to promote the quality of the state's water by regulating existing industries, taking into consideration the economic development of the state, and by...

  5. Feedback controller parameterizations for reinforcement learning

    E-Print Network [OSTI]

    Roberts, John William

    Reinforcement Learning offers a very general framework for learning controllers, but its effectiveness is closely tied to the controller parameterization used. Especially when learning feedback controllers for weakly stable ...

  6. Quality Control Inspector: Different Programs, Different Responsibilit...

    Broader source: Energy.gov (indexed) [DOE]

    document explains the role of the Quality Control Inspector (QCI) in regards to the Home Energy Professional Certification Exam. Quality Control Inspector: Different Programs,...

  7. Stormwater Quality Controls in SLAMM Introduction .....................................................................................................................................................................................2

    E-Print Network [OSTI]

    Pitt, Robert E.

    D-1 Appendix D Stormwater Quality Controls in SLAMM Introduction.........................................................................................................................................20 Nuisance Conditions in Wet Detention Ponds and Degraded Water Quality

  8. Scaling Reinforcement Learning Paradigms for Motor Control 

    E-Print Network [OSTI]

    Vijayakumar, Sethu; Peters, Jan; Schaal, Stefan

    Reinforcement learning offers a general framework to explain reward related learning in artificial and biological motor control. However, current reinforcement learning methods rarely scale to high dimensional movement systems ...

  9. Georgia Air Quality Control Act (Georgia)

    Broader source: Energy.gov [DOE]

    The Georgia Air Quality Control Act (AQCA) is a set of environmental regulations, permitting requirements, and air quality standards that control the amount of pollutants emitted and who emits them...

  10. Georgia Water Quality Control Act (Georgia)

    Broader source: Energy.gov [DOE]

    The Georgia Water Quality Control Act (WQCA) is a set of environmental regulations and permitting requirements that comply with the federal Clean Water Act. The Georgia Water Quality Control Act...

  11. Quality Control Inspector: Different Programs, Different Responsibilities

    Broader source: Energy.gov [DOE]

    This document explains the role of the Quality Control Inspector (QCI) in regards to the Home Energy Professional Certification Exam.

  12. Quality Control by Artificial Vision

    SciTech Connect (OSTI)

    Lam, Edmond Y. [University of Hong Kong, The; Gleason, Shaun Scott [ORNL; Niel, Kurt S. [Upper Austria University of Applied Science, Engineering and Environmental Studies

    2010-01-01T23:59:59.000Z

    Computational technology has fundamentally changed many aspects of our lives. One clear evidence is the development of artificial-vision systems, which have effectively automated many manual tasks ranging from quality inspection to quantitative assessment. In many cases, these machine-vision systems are even preferred over manual ones due to their repeatability and high precision. Such advantages come from significant research efforts in advancing sensor technology, illumination, computational hardware, and image-processing algorithms. Similar to the Special Section on Quality Control by Artificial Vision published two years ago in Volume 17, Issue 3 of the Journal of Electronic Imaging, the present one invited papers relevant to fundamental technology improvements to foster quality control by artificial vision, and fine-tuned the technology for specific applications. We aim to balance both theoretical and applied work pertinent to this special section theme. Consequently, we have seven high-quality papers resulting from the stringent peer-reviewing process in place at the Journal of Electronic Imaging. Some of the papers contain extended treatment of the authors work presented at the SPIE Image Processing: Machine Vision Applications conference and the International Conference on Quality Control by Artificial Vision. On the broad application side, Liu et al. propose an unsupervised texture image segmentation scheme. Using a multilayer data condensation spectral clustering algorithm together with wavelet transform, they demonstrate the effectiveness of their approach on both texture and synthetic aperture radar images. A problem related to image segmentation is image extraction. For this, O'Leary et al. investigate the theory of polynomial moments and show how these moments can be compared to classical filters. They also show how to use the discrete polynomial-basis functions for the extraction of 3-D embossed digits, demonstrating superiority over Fourier-basis functions for this task. Image registration is another important task for machine vision. Bingham and Arrowood investigate the implementation and results in applying Fourier phase matching for projection registration, with a particular focus on nondestructive testing using computed tomography. Readers interested in enriching their arsenal of image-processing algorithms for machine-vision tasks should find these papers enriching. Meanwhile, we have four papers dealing with more specific machine-vision tasks. The first one, Yahiaoui et al., is quantitative in nature, using machine vision for real-time passenger counting. Occulsion is a common problem in counting objects and people, and they circumvent this issue with a dense stereovision system, achieving 97 to 99% accuracy in their tests. On the other hand, the second paper by Oswald-Tranta et al. focuses on thermographic crack detection. An infrared camera is used to detect inhomogeneities, which may indicate surface cracks. They describe the various steps in developing fully automated testing equipment aimed at a high throughput. Another paper describing an inspection system is Molleda et al., which handles flatness inspection of rolled products. They employ optical-laser triangulation and 3-D surface reconstruction for this task, showing how these can be achieved in real time. Last but not least, Presles et al. propose a way to monitor the particle-size distribution of batch crystallization processes. This is achieved through a new in situ imaging probe and image-analysis methods. While it is unlikely any reader may be working on these four specific problems at the same time, we are confident that readers will find these papers inspiring and potentially helpful to their own machine-vision system developments.

  13. Quality Control, Standardization of Upgrades, and Workforce Expectatio...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Quality Control, Standardization of Upgrades, and Workforce Expectations Quality Control, Standardization of Upgrades, and Workforce Expectations Better Buildings Residential...

  14. NREL Job Task Analysis: Quality Control Inspector

    SciTech Connect (OSTI)

    Kurnik, C.; Woodley, C.

    2011-05-01T23:59:59.000Z

    A summary of job task analyses for the position of quality control inspector when evaluating weatherization work that has been done on a residence.

  15. Current Quality Culture Mini Paper Six Sigma Quality Control

    E-Print Network [OSTI]

    Vardeman, Stephen B.

    Current Quality Culture Mini Paper Six Sigma Quality Control By: Shawn Higbee Steve Soseman Kaya, they want zero." - John Bertrand, President, A.O. Smith Electrical Products Company What is Six Sigma? SixSig_pg140-2.html Is Six Sigma good for every company? The benefits of implementing a 6 include increased

  16. Feedback Controller Parameterizations for Reinforcement Learning

    E-Print Network [OSTI]

    Tedrake, Russ

    , such as Model Predictive Control [7] or the Linear Quadratic Regulator (LQR). More rarely, feedback policies, with learning performed using REINFORCE. While the manipulator is modeled as an open-loop stable linear systemFeedback Controller Parameterizations for Reinforcement Learning John W. Roberts CSAIL, MIT

  17. Contractor Work Planning and Control Lessons Learned from DOE...

    Broader source: Energy.gov (indexed) [DOE]

    Work Planning and Control Lessons Learned from DOE and International Projects Contractor Work Planning and Control Lessons Learned from DOE and International Projects Addthis...

  18. Quality control by a mobile molecular workshop: quality versus quantity

    E-Print Network [OSTI]

    Ajeet K. Sharma; Debashish Chowdhury

    2010-09-27T23:59:59.000Z

    Ribosome is a molecular machine that moves on a mRNA track while, simultaneously, polymerizing a protein using the mRNA also as the corresponding template. We define, and analytically calculate, two different measures of the efficiency of this machine. However, we arugue that its performance is evaluated better in terms of the translational fidelity and the speed with which it polymerizes a protein. We define both these quantities and calculate these analytically. Fidelity is a measure of the quality of the products while the total quantity of products synthesized in a given interval depends on the speed of polymerization. We show that for synthesizing a large quantity of proteins, it is not necessary to sacrifice the quality. We also explore the effects of the quality control mechanism on the strength of mechano-chemical coupling. We suggest experiments for testing some of the ideas presented here.

  19. Quality Control for the 3-in-1 Cards 1. Overview

    E-Print Network [OSTI]

    5/29/99 Quality Control for the 3-in-1 Cards 1. Overview The quality control is divided into two rate be limited to 1000 cards/week to allow opportunity for monitoring the production quality

  20. Power Systems Stability Control : Reinforcement Learning Framework

    E-Print Network [OSTI]

    Wehenkel, Louis

    1 Power Systems Stability Control : Reinforcement Learning Framework Damien Ernst, Member, IEEE systems. We describe some challenges in power system control and discuss how some of those challenges with the real power system and the off-line mode in which the interaction occurs with a simulation model

  1. Major: Ecological Systems Design, Air Quality Control and Waste Management

    E-Print Network [OSTI]

    Giger, Christine

    1 Major: Ecological Systems Design, Air Quality Control and Waste Management · Being able to solve control technologies · Knowledge in waste management and technologies Module 1: Ecological Systems Design quality control and biogas Waste management and air quality control Examples for combination of Modules

  2. 9 QUALITY ASSURANCE AND QUALITY CONTROL 9.1 Introduction

    E-Print Network [OSTI]

    for their intended use. A quality system is a management system that describes the elements necessary to plan in the use of radioactive materials. There are self-imposed internal quality management systems (e.g., DOE an organization-specific quality system, there is no need to develop new quality management systems, to the extent

  3. Quality Management of CERN Vacuum Controls

    E-Print Network [OSTI]

    Antoniotti, F; Fortescue-Beck, E; Gama, J; Gomes, P; Le Roux, P; Pereira, H; Pigny, G

    2014-01-01T23:59:59.000Z

    The vacuum controls Section (TE-VSC-ICM) is in charge of the monitoring, maintenance and consolidation of the control systems of all accelerators and detectors in CERN; this represents 6 000 instruments distributed along 128 km of vacuum chambers, often of heterogeneous architectures and of diverse technical generations. In order to improve the efficiency of the services provided by ICM, to vacuum experts and to accelerator operators, a Quality Management Plan is being put into place. The first step was the standardization of the naming convention across different accelerators. The traceability of problems, requests, repairs, and other actions, has also been put into place (VTL). This was combined with the effort to identify each individual device by a coded label, and register it in a central database (MTF). Occurring in parallel, was the gathering of old documents and the centralization of information concerning architectures, procedures, equipment and settings (EDMS). To describe the topology of control c...

  4. New Directions in Measurement for Software Quality Control

    E-Print Network [OSTI]

    Suryn, Witold

    of statistical data. In total this provides a framework for quality control in software engineering that is freed1 New Directions in Measurement for Software Quality Control Paul Krause, Bernd Freimut and Witold Suryn Abstract--Assessing and controlling software quality is still an immature discipline. One

  5. EERE Quality Control Workshop | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube|6721 Federal Register / Vol. 73,H Model Senior ExecutiveEERE Quality Control

  6. Quality Control Inspector: Different Programs, Different Responosibilities

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18, 2012 Qualified Energy Conservation BondEnergyQuality Control

  7. Learning Motor Control by Dancing YMCA Rikke Amilde Lvlid

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Learning Motor Control by Dancing YMCA Rikke Amilde Løvlid Department of Computer and Information desired movements a robot needs to learn which motor commands move the limb from one position to another and error. According to a hypothesis in developmental psychology, learning to control ones own motor

  8. Learning to Control Dynamic Systems with Automatic Quantization

    E-Print Network [OSTI]

    Ling, Charles X.

    Learning to Control Dynamic Systems with Automatic Quantization Charles X. Ling Department: Learning to Control with Automatic Quantization. 1 #12; 1 Introduction Controlling a dynamic system to control dynamic systems with unknown models is a challenging research problem. However, most previous work

  9. Optimal Resource Allocation for the Quality Control Process Pankaj Jalote

    E-Print Network [OSTI]

    Jalote, Pankaj

    effort to different QC stages for a given total cost such that the overall quality is optimal. We proposeOptimal Resource Allocation for the Quality Control Process Pankaj Jalote Department of Computer Sc Abstract Software development project employs some Quality Control (QC) process to detect and remove

  10. INVENTORY AND REVIEW OF QUALITY ASSURANCE/QUALITY CONTROL

    E-Print Network [OSTI]

    ........................................................................................................8 APPENDICES APPENDIX A Obtaining the Electronic Database APPENDIX B Summary Format for QA of the Environmental Quality Component of the Fraser River Action Plan (FRAP). This committee is mandated to provide of high quality, reliable environmental data; 2) compatible data which will be readily exchangeable both

  11. ARM: Surface Radiation Measurement Quality Control testing, including climatologically configurable limits

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Hodges, Gary; Stoffel, Tom; Kutchenreiter, Mark; Kay, Bev; Habte, Aron; Ritsche, Michael; Morris, Victor; Anderberg, Mary

    Surface Radiation Measurement Quality Control testing, including climatologically configurable limits

  12. application quality control: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    FOXO transcription factors are involved in several physi- ological Brunet, Anne 106 Transformer Thermal Modeling: Improving Reliability Using Data Quality Control Power...

  13. California State Water Resources Control Board 401 Water Quality...

    Open Energy Info (EERE)

    navigation, search OpenEI Reference LibraryAdd to library Web Site: California State Water Resources Control Board 401 Water Quality Certification Website Abstract This website...

  14. Automatic learning for the classification of primary frequency control behaviour

    E-Print Network [OSTI]

    Wehenkel, Louis

    types of expected or unexpected behaviours. The proposed approach is based on automatic learning whichAutomatic learning for the classification of primary frequency control behaviour Bertrand. Abstract-- In this paper we propose a methodology based on supervised automatic learning in order

  15. Communicated by Michael Jordan Learning Virtual Equilibrium Trajectories for Control

    E-Print Network [OSTI]

    Shadmehr, Reza

    Communicated by Michael Jordan Learning Virtual Equilibrium Trajectories for Control of a Robot Arm Institute of Technology #12;Equilibrium Trajectories to Control a Robot Arm 437 the desired state

  16. Societal Research Archives System : Retrieval, quality control and analysis

    E-Print Network [OSTI]

    White, Douglas R.

    Societal Research Archives System : Retrieval, quality control and analysis of comparative data sample selection and data retrieval to correlation, data quality control, and testing for genetic, and White, 1967a). This represents 40 % of the approximate total number of such publications, but over 90

  17. Quality Control Planning for the Mother Boards 1. Overview

    E-Print Network [OSTI]

    5/29/99 Quality Control Planning for the Mother Boards 1. Overview The quality control is divided manufacturing to ensure that the production is proceeding as planned. In a second phase, burn-in and detailed Tests Once production is ready to begin, a group of 5 cards will be prepared by the manufacturer

  18. NIF Projects Controls and Information Systems Software Quality Assurance Plan

    SciTech Connect (OSTI)

    Fishler, B

    2011-03-18T23:59:59.000Z

    Quality achievement for the National Ignition Facility (NIF) and the National Ignition Campaign (NIC) is the responsibility of the NIF Projects line organization as described in the NIF and Photon Science Directorate Quality Assurance Plan (NIF QA Plan). This Software Quality Assurance Plan (SQAP) is subordinate to the NIF QA Plan and establishes quality assurance (QA) activities for the software subsystems within Controls and Information Systems (CIS). This SQAP implements an activity level software quality assurance plan for NIF Projects as required by the LLNL Institutional Software Quality Assurance Program (ISQAP). Planned QA activities help achieve, assess, and maintain appropriate quality of software developed and/or acquired for control systems, shot data systems, laser performance modeling systems, business applications, industrial control and safety systems, and information technology systems. The objective of this SQAP is to ensure that appropriate controls are developed and implemented for management planning, work execution, and quality assessment of the CIS organization's software activities. The CIS line organization places special QA emphasis on rigorous configuration control, change management, testing, and issue tracking to help achieve its quality goals.

  19. On learning machines for engine control Gerard Bloch1

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    networks and learning machines for en- gine control applications, particularly in modeling for control engine management structure. Then the use of neural networks for engine model- ing, control and diagnosis is briefly described. The need for descriptive models for model-based control and the link between physical

  20. Quality improvement and control based on defect reduction

    E-Print Network [OSTI]

    Dai, Qi, M. Eng. Massachusetts Institute of Technology

    2010-01-01T23:59:59.000Z

    This thesis addresses the quality improvement in a printing process at a food packaging company now experiencing hundreds of printing defects. Methodologies of Define, Measure, Analyze, Improve, and Control (DMAIC), and ...

  1. Federal, State, and Local Water Quality Control

    E-Print Network [OSTI]

    Rosemond, Amy Daum

    and non-point pollution is causing many water bodies to fail state water quality standards. Since in many cases these polluted water bodies are vital to communi- ties as both a source of drinking water-5-23.1. These two laws are intended to protect water bodies from excessive point and non-point pollution

  2. Advances in Reinforcement Learning and Their Implications for Intelligent Control

    E-Print Network [OSTI]

    Sutton, Richard S.

    models that are complete and accurate [ShaSO]. If control depends upon a domain model, it must sufficeAdvances in Reinforcement Learning and Their Implications for Intelligent Control Steven D. Whitehead*, Richard S. Suttoni and Dana H. Ballard* 1 Introduction What is an intelligent control system

  3. A diagnostic procedure for multivariate quality control

    E-Print Network [OSTI]

    Keserla, Adhinarayan A.

    1993-01-01T23:59:59.000Z

    . The proposed diagnostic procedure is triggered by off-target signals from the multivariate control chart. The performance of the procedure are investigate in conjunction with the two control charts, the X2 chart and the MC1 chart. Two performance measures...

  4. Quality Management of CERN Vacuum Controls

    E-Print Network [OSTI]

    Antoniotti, F; Fortescue-Beck, E; Gama, J; Gomes, P; Le Roux, P; Pereira, H F; Pigny, G

    2014-01-01T23:59:59.000Z

    The vacuum controls Section (TE-VSC-ICM) is in charge of the monitoring, maintenance and consolidation of the control systems of all accelerators and detectors in CERN; this represents 6 000 instruments distributed along 128 km of vacuum chambers, often of heterogeneous architectures and of diverse

  5. NREL Job Task Analysis: Quality Control Inspector

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of Contamination in Many Devils Wash, Shiprock,DepartmentsensorElectrolysisCrewQuality

  6. Bayesian Kernel Shaping for Learning Control 

    E-Print Network [OSTI]

    Ting, Jo-Anne; Kalakrishnan, Mrinal; Vijayakumar, Sethu; Schaal, Stefan

    2008-01-01T23:59:59.000Z

    In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of output noise varies spatially. Previous ...

  7. EERE Quality Control Workshop Final Report

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S.ContaminationJulySavannah RiverSustainabilityEnergy Overview of qualityEERE

  8. Radiological Control Manual Environment, Safety, Health, and Quality Division

    E-Print Network [OSTI]

    Wechsler, Risa H.

    ............................................................................................................................................8 128 Facility Modifications and Radiological Design ConsiderationsRadiological Control Manual Environment, Safety, Health, and Quality Division SLAC-I-720-0A05Z-001 and published by ESHQ Publishing Document Title: Radiological Control Manual Original Publication Date: 1

  9. AN ALERT MANAGEMENT APPROACH TO DATA QUALITY: LESSONS LEARNED FROM THE

    E-Print Network [OSTI]

    Grossman, Robert

    AN ALERT MANAGEMENT APPROACH TO DATA QUALITY: LESSONS LEARNED FROM THE VISA DATA AUTHORITY PROGRAM, Alert Management Systems INTRODUCTION There is now a relatively mature model, which is usually called of the time and costs involved, the framework we introduce directly manages data quality alerts and associated

  10. Uncertainty Propagation for Quality Assurance in Reinforcement Learning

    E-Print Network [OSTI]

    Schneegass and Steffen Udluft are with the Learning Sys- tems Department of the Siemens AG, Corporate Technology, Informa- tion & Communications; email: daniel.schneegass.ext@siemens.com, stef- fen.udluft@siemens

  11. Self-teaching neural network learns difficult reactor control problem

    SciTech Connect (OSTI)

    Jouse, W.C.

    1989-01-01T23:59:59.000Z

    A self-teaching neural network used as an adaptive controller quickly learns to control an unstable reactor configuration. The network models the behavior of a human operator. It is trained by allowing it to operate the reactivity control impulsively. It is punished whenever either the power or fuel temperature stray outside technical limits. Using a simple paradigm, the network constructs an internal representation of the punishment and of the reactor system. The reactor is constrained to small power orbits.

  12. Transformer Thermal Modeling: Improving Reliability Using Data Quality Control

    E-Print Network [OSTI]

    1 Transformer Thermal Modeling: Improving Reliability Using Data Quality Control Daniel J. Tylavsky--Eventually all large transformers will be dynamically loaded using models updated regularly from field measured data. Models obtained from measured data give more accurate results than models based on transformer

  13. GenePRIMP: A software quality control tool

    SciTech Connect (OSTI)

    Amrita Pati

    2010-05-05T23:59:59.000Z

    Amrita Pati of the DOE Joint Genome Institute's Genome Biology group describes the software tool GenePRIMP and how it fits into the quality control pipeline for microbial genomics. Further details regarding GenePRIMP appear in a paper published online May 2, 2010 in Nature Methods.

  14. GenePRIMP: A software quality control tool

    ScienceCinema (OSTI)

    Amrita Pati

    2010-09-01T23:59:59.000Z

    Amrita Pati of the DOE Joint Genome Institute's Genome Biology group describes the software tool GenePRIMP and how it fits into the quality control pipeline for microbial genomics. Further details regarding GenePRIMP appear in a paper published online May 2, 2010 in Nature Methods.

  15. 2003 Horseshoe Beach Lease Area, Dixie County Quality Assurance/Quality Control (QA/QC) Log

    E-Print Network [OSTI]

    Florida, University of

    the month. This includes information on fouling, equipment failures and whether post-deployment checks were or a lack of standardization between the two sondes). Notes regarding reliability of data (whether/Quality Control (QA/QC) Log General Notes on Reliability of Data: 1) In general, measurements of temperature

  16. 2004 Gulf Jackson Lease Area, Levy County Quality Assurance/Quality Control (QA/QC) Log

    E-Print Network [OSTI]

    Florida, University of

    the month. This includes information on fouling, equipment failures and whether post-deployment checks were or a lack of standardization between the two sondes). Notes regarding reliability of data (whether/Quality Control (QA/QC) Log General Notes on Reliability of Data: 1) In general, measurements of temperature

  17. 2002 Dog Island Lease Area, Levy County Quality Assurance/Quality Control (AQ/QC) Log

    E-Print Network [OSTI]

    Florida, University of

    the month. This includes information on fouling, equipment failures and whether post-deployment checks were or a lack of standardization between the two sondes). Notes regarding reliability of data (whether/Quality Control (AQ/QC) Log General Notes on Reliability of Data: 1) In general, measurements of temperature

  18. 2003 Body A Lease Area, Brevard County Quality Assurance/Quality Control (QA/QC) Log

    E-Print Network [OSTI]

    Florida, University of

    the month. This includes information on fouling, equipment failures and whether post-deployment checks were or a lack of standardization between the two sondes). Notes regarding reliability of data (whether/Quality Control (QA/QC) Log General Notes on Reliability of Data: 1) In general, measurements of temperature

  19. 2003 Pine Island Lease Area, Dixie County Quality Assurance/Quality Control (QA/QC) Log

    E-Print Network [OSTI]

    Florida, University of

    the month. This includes information on fouling, equipment failures and whether post-deployment checks were or a lack of standardization between the two sondes). Notes regarding reliability of data (whether/Quality Control (QA/QC) Log General Notes on Reliability of Data: 1) In general, measurements of temperature

  20. 2002 Body A Lease Area, Brevard County Quality Assurance/Quality Control (QA/QC) Log

    E-Print Network [OSTI]

    Florida, University of

    the month. This includes information on fouling, equipment failures and whether post-deployment checks were or a lack of standardization between the two sondes). Notes regarding reliability of data (whether/Quality Control (QA/QC) Log General Notes on Reliability of Data: 1) In general, measurements of temperature

  1. 2002 Pine Island Lease Area, Dixie County Quality Assurance/Quality Control (QA/QC) Log

    E-Print Network [OSTI]

    Florida, University of

    the month. This includes information on fouling, equipment failures and whether post-deployment checks were or a lack of standardization between the two sondes). Notes regarding reliability of data (whether/Quality Control (QA/QC) Log General Notes on Reliability of Data: 1) In general, measurements of temperature

  2. 2003 Dog Island Lease Area, Levy County Quality Assurance/Quality Control (QA/QC) Log

    E-Print Network [OSTI]

    Florida, University of

    the month. This includes information on fouling, equipment failures and whether post-deployment checks were or a lack of standardization between the two sondes). Notes regarding reliability of data (whether/Quality Control (QA/QC) Log General Notes on Reliability of Data: 1) In general, measurements of temperature

  3. 2003 Gulf Jackson Lease Area, Levy County Quality Assurance/Quality Control (QA/QC) Log

    E-Print Network [OSTI]

    Florida, University of

    the month. This includes information on fouling, equipment failures and whether post-deployment checks were or a lack of standardization between the two sondes). Notes regarding reliability of data (whether/Quality Control (QA/QC) Log General Notes on Reliability of Data: 1) In general, measurements of temperature

  4. 2002 Gulf Jackson Lease Area, Levy County Quality Assurance/Quality Control (QA/QC) Log

    E-Print Network [OSTI]

    Florida, University of

    the month. This includes information on fouling, equipment failures and whether post-deployment checks were or a lack of standardization between the two sondes). Notes regarding reliability of data (whether/Quality Control (QA/QC) Log General Notes on Reliability of Data: 1) In general, measurements of temperature

  5. Stochastic optimal control with learned dynamics models 

    E-Print Network [OSTI]

    Mitrovic, Djordje

    2011-01-01T23:59:59.000Z

    The motor control of anthropomorphic robotic systems is a challenging computational task mainly because of the high levels of redundancies such systems exhibit. Optimality principles provide a general strategy to resolve ...

  6. Learning Forward Models for the Operational Space Control of

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    kinematics 1.1 Introduction Real-world Robotics applications are evolving from the industrial domain (wellChapter 1 Learning Forward Models for the Operational Space Control of Redundant Robots Camille model of a robot and use standard algebraic methods to extract pseudo-inverses and projectors from it

  7. Methods for Learning Control Policies from Variable-Constraint

    E-Print Network [OSTI]

    Vijayakumar, Sethu

    , we explore the problem of learning control policies from data containing variable, dynamic and non, the door acts as an environmental constraint that restricts the movement of ones hand along the opening arc of the door. When stirring soup in a saucepan, the sides of the pan prevent the spoon moving beyond

  8. Reinforcement Learning for Active Length Control of Shape Memory Alloys

    E-Print Network [OSTI]

    Valasek, John

    Reinforcement Learning for Active Length Control of Shape Memory Alloys Kenton Kirkpatrick John Valasek Aerospace Engineering Department Texas A&M University AIAA GNC Conference 21 August 2008 Honolulu;Kirkpatrick & Valasek - 5 Shape Memory Alloys (SMA) Metallic Alloys used as actuators Shape Memory Effect

  9. Observation and Imitation: Goal Sequence Learning in Neurally Controlled Construction

    E-Print Network [OSTI]

    Crabbe, Frederick

    Observation and Imitation: Goal Sequence Learning in Neurally Controlled Construction Animats: VI, bring them to the construction site, locate the correct loca­ tion for the building material, and add it to the struc­ ture. The motivation for this work is to create agents that can perform construction tasks while

  10. Quality Control Quantification (QCQ): A Tool to Measure the Value of Quality Control Checks in Radiation Oncology

    SciTech Connect (OSTI)

    Ford, Eric C., E-mail: eford@uw.edu [Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland (United States); Terezakis, Stephanie; Souranis, Annette; Harris, Kendra [Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland (United States)] [Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland (United States); Gay, Hiram; Mutic, Sasa [Department of Radiation Oncology, Washington University, St. Louis, Missouri (United States)] [Department of Radiation Oncology, Washington University, St. Louis, Missouri (United States)

    2012-11-01T23:59:59.000Z

    Purpose: To quantify the error-detection effectiveness of commonly used quality control (QC) measures. Methods: We analyzed incidents from 2007-2010 logged into a voluntary in-house, electronic incident learning systems at 2 academic radiation oncology clinics. None of the incidents resulted in patient harm. Each incident was graded for potential severity using the French Nuclear Safety Authority scoring scale; high potential severity incidents (score >3) were considered, along with a subset of 30 randomly chosen low severity incidents. Each report was evaluated to identify which of 15 common QC checks could have detected it. The effectiveness was calculated, defined as the percentage of incidents that each QC measure could detect, both for individual QC checks and for combinations of checks. Results: In total, 4407 incidents were reported, 292 of which had high-potential severity. High- and low-severity incidents were detectable by 4.0 {+-} 2.3 (mean {+-} SD) and 2.6 {+-} 1.4 QC checks, respectively (P<.001). All individual checks were less than 50% sensitive with the exception of pretreatment plan review by a physicist (63%). An effectiveness of 97% was achieved with 7 checks used in combination and was not further improved with more checks. The combination of checks with the highest effectiveness includes physics plan review, physician plan review, Electronic Portal Imaging Device-based in vivo portal dosimetry, radiation therapist timeout, weekly physics chart check, the use of checklists, port films, and source-to-skin distance checks. Some commonly used QC checks such as pretreatment intensity modulated radiation therapy QA do not substantially add to the ability to detect errors in these data. Conclusions: The effectiveness of QC measures in radiation oncology depends sensitively on which checks are used and in which combinations. A small percentage of errors cannot be detected by any of the standard formal QC checks currently in broad use, suggesting that further improvements are needed. These data require confirmation with a broader incident-reporting database.

  11. X-ray Spectroscopy for Quality Control of Chemotherapy Drugs

    SciTech Connect (OSTI)

    Greaves, E. D.; Barros, H.; Bermudez, J.; Sajo-Bohus, L. [Universidad Simon Bolivar, Apartado 89000, Caracas 1080A (Venezuela); Angeli-Greaves, M. [Universidad Central de Venezuela, Apartado 90373 Caracas 1083A (Venezuela)

    2007-10-26T23:59:59.000Z

    We develop a method, employing Compton peak standardization and the use of matrix-matched spiked samples with Total Reflection X-ray Fluorescence (TXRF), for the determination of platinum plasma concentrations of patients undergoing chemotherapy with Pt-bearing drugs. Direct blood plasma analysis attains Pt detection limits of 70 ng/ml. Measurement results of prescribed drug doses are compared to achieved blood Pt concentrations indicating a lack of expected correlations. Direct analysis of Pt-containing infused drugs from a variety of suppliers indicates cases of abnormal concentrations which raises quality control issues. We demonstrate the potential usefulness of the method for pharmacokinetic studies or for routine optimization and quality control of Pt chemotherapy treatments.

  12. Learning Multiple Models of Non-Linear Dynamics for Control under Varying Contexts

    E-Print Network [OSTI]

    Vijayakumar, Sethu

    Learning Multiple Models of Non-Linear Dynamics for Control under Varying Contexts Georgios Petkos for adaptive motor control exist which learn the system's inverse dynamics online and use this single model;II Command Context 1 Context 2 Dynamics models Context n Control Learning Commands Switch / Mix

  13. Load estimation and control using learned dynamics models Georgios Petkos and Sethu Vijayakumar

    E-Print Network [OSTI]

    Vijayakumar, Sethu

    Load estimation and control using learned dynamics models Georgios Petkos and Sethu Vijayakumar with their robustness in light of imperfect, intermediate dynamic models. I. INTRODUCTION Adaptive control the learned dynamics for control. In Section IV, we see how from a set of learned models with known inertial

  14. Improved Quality Control Processing of Peptide-centric LC-MS...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Quality Control Processing of Peptide-centric LC-MS Proteomics Data. Improved Quality Control Processing of Peptide-centric LC-MS Proteomics Data. Abstract: In the analysis of...

  15. Millimeter-Wave Absorption as a Quality Control Tool for M-Type...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Millimeter-Wave Absorption as a Quality Control Tool for M-Type Hexaferrite Nanopowders. Millimeter-Wave Absorption as a Quality Control Tool for M-Type Hexaferrite Nanopowders....

  16. Closed-loop control of an experimental mixing layer using machine learning control

    E-Print Network [OSTI]

    Parezanovi?, Vladimir; Cordier, Laurent; Noack, Bernd R; Delville, Joël; Bonnet, Jean-Paul; Segond, Marc; Abel, Markus; Brunton, Steven L

    2014-01-01T23:59:59.000Z

    A novel framework for closed-loop control of turbulent flows is tested in an experimental mixing layer flow. This framework, called Machine Learning Control (MLC), provides a model-free method of searching for the best function, to be used as a control law in closed-loop flow control. MLC is based on genetic programming, a function optimization method of machine learning. In this article, MLC is benchmarked against classical open-loop actuation of the mixing layer. Results show that this method is capable of producing sensor-based control laws which can rival or surpass the best open-loop forcing, and be robust to changing flow conditions. Additionally, MLC can detect non-linear mechanisms present in the controlled plant, and exploit them to find a better type of actuation than the best periodic forcing.

  17. Learning with Low-Quality Data: Multi-View Semi-Supervised Learning with Missing Views

    E-Print Network [OSTI]

    Quanz, Brian

    2012-08-31T23:59:59.000Z

    ) . . . . . . . . . . . 56 3.6.2.2 Spam Filtering (Data sets 10 - 12) . . . . . . . . . . . . . . . . . 57 3.6.2.3 Protein-Chemical Interaction (Data sets 13 - 24) . . . . . . . . . 57 3.6.3 Experimental Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 3... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64 4.2 Related Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 4.2.1 Feature Extraction with Sparse Coding . . . . . . . . . . . . . . . . . . . 66 4.2.2 Transfer Learning and Domain Adaption...

  18. Control Model Learning for Whole-Body Mobile Manipulation Scott Kuindersma

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Control Model Learning for Whole-Body Mobile Manipulation Scott Kuindersma Computer Science. In our ongoing work, we hope to demonstrate the utility of learned control models for whole- body mobile manipulation. In what follows we discuss pre- liminary work on learning a forward model of the dynamics

  19. Coal quality control in the context of international standards ISO 9000-2000

    SciTech Connect (OSTI)

    Freidina, E.V.; Botvinnik, A.A.; Dvornikova, A.N. [Russian Academy of Sciences, Novosibirsk (Russian Federation). Institute of Mining

    2008-11-15T23:59:59.000Z

    The paper sets forth scientific foundations and organizational-technical environment offered by ISO 9000 standards that are oriented to product quality management and, thus, product quality planning. The authors describe the results of coal product quality planning with using the QFD methodology, present a model of coal quality control through the coal product life cycle and mining technologies. It is proposed to evaluate the quality management efficiency by the coefficient of concordance between the product quality and consumer's demands.

  20. Toward Off-Policy Learning Control with Function Approximation Hamid Reza Maei,

    E-Print Network [OSTI]

    Sutton, Richard S.

    -560012, India Abstract We present the first temporal-difference learning algorithm for off-policy controlToward Off-Policy Learning Control with Function Approximation Hamid Reza Maei, Csaba Szepesv, which has hitherto been restricted to a prediction (policy evaluation) setting, to a control set- ting

  1. Learning Multiple Models of Non-Linear Dynamics for Control under Varying Contexts

    E-Print Network [OSTI]

    Toussaint, Marc

    Learning Multiple Models of Non-Linear Dynamics for Control under Varying Contexts Georgios Petkos for adaptive motor control exist which learn the system's inverse dynamics online and use this single model version - to appear in ICANN 2006 #12;II Command Context 1 Context 2 Dynamics models Context n Control

  2. Lesson Learned by Lawrence Livermore National Laboratory Activity-level Work Planning and Control

    Broader source: Energy.gov [DOE]

    Slide Presentation by Donna J. Governor, Lawrence Livermore National Laboratory. Lessons Learned by Lawrence Livermore National Laboratory Activity-Level Work Planning & Control.

  3. Vermont Air Pollution Control Regulations, Ambient Air Quality Standards (Vermont)

    Broader source: Energy.gov [DOE]

    The ambient air quality standards are based on the national ambient air quality standards. The Vermont standards are classified as primary and secondary standards and judged adequate to protect...

  4. Adaptive Congestion Control in Broadband-ISDN: High Throughput with Sustained Quality of Service

    E-Print Network [OSTI]

    Pitsillides, Andreas

    ). The controller regulates QoS by manipulating the flow of controllable traffic into the network. Controllability. In this paper we use an adaptive feedback and feedforward control system to maximise throughput such that the QoAdaptive Congestion Control in Broadband-ISDN: High Throughput with Sustained Quality of Service

  5. Learning Structural Changes of Gaussian Graphical Models in Controlled Experiments

    E-Print Network [OSTI]

    Zhang, Bai

    2012-01-01T23:59:59.000Z

    Graphical models are widely used in scienti fic and engineering research to represent conditional independence structures between random variables. In many controlled experiments, environmental changes or external stimuli can often alter the conditional dependence between the random variables, and potentially produce significant structural changes in the corresponding graphical models. Therefore, it is of great importance to be able to detect such structural changes from data, so as to gain novel insights into where and how the structural changes take place and help the system adapt to the new environment. Here we report an effective learning strategy to extract structural changes in Gaussian graphical model using l1-regularization based convex optimization. We discuss the properties of the problem formulation and introduce an efficient implementation by the block coordinate descent algorithm. We demonstrate the principle of the approach on a numerical simulation experiment, and we then apply the algorithm to...

  6. Learning Multiple Models of Non-Linear Dynamics for Control under Varying Contexts 

    E-Print Network [OSTI]

    Petkos, Georgios; Toussaint, Marc; Vijayakumar, Sethu

    For stationary systems, efficient techniques for adaptive motor control exist which learn the system’s inverse dynamics online and use this single model for control. However, in realistic domains the system dynamics often ...

  7. AUTOMATIC VARIABLE VENTILATION CONTROL SYSTEMS BASED ON AIR QUALITY DETECTION

    E-Print Network [OSTI]

    Turiel, Isaac

    2011-01-01T23:59:59.000Z

    saon Automatic Variable Ventilation Control Systems Based onL Kusuda, "Control Ventilation to Conserve Energy While t·79-3 Automatic variable ventilation control systems based on

  8. AUTOMATIC VARIABLE VENTILATION CONTROL SYSTEMS BASED ON AIR QUALITY DETECTION

    E-Print Network [OSTI]

    Turiel, Isaac

    2011-01-01T23:59:59.000Z

    ~saon Automatic Variable Ventilation Control Systems Based79-3 Automatic variable ventilation control systems based onof automatic variable ventilation control systems, result in

  9. When Spreadsheets Become Software - Quality Control Challenges and Approaches - 13360

    SciTech Connect (OSTI)

    Fountain, Stefanie A.; Chen, Emmie G.; Beech, John F. [Geosyntec Consultants, Inc., 1255 Roberts Boulevard NW, Suite 200, Kennesaw, GA 30144 (United States)] [Geosyntec Consultants, Inc., 1255 Roberts Boulevard NW, Suite 200, Kennesaw, GA 30144 (United States); Wyatt, Elizabeth E. [LATA Environmental Services of Kentucky, LLC, 761 Veterans Ave, Kevil, KY 42053 (United States)] [LATA Environmental Services of Kentucky, LLC, 761 Veterans Ave, Kevil, KY 42053 (United States); Quinn, Tanya B. [Geosyntec Consultants, Inc., 2002 Summit Boulevard NE, Suite 885, Atlanta, GA 30319 (United States)] [Geosyntec Consultants, Inc., 2002 Summit Boulevard NE, Suite 885, Atlanta, GA 30319 (United States); Seifert, Robert W. [Portsmouth/Paducah Project Office, United States Department of Energy, 5600 Hobbs Rd, Kevil, KY 42053 (United States)] [Portsmouth/Paducah Project Office, United States Department of Energy, 5600 Hobbs Rd, Kevil, KY 42053 (United States); Bonczek, Richard R. [Portsmouth/Paducah Project Office, United States Department of Energy, 1017 Majestic Drive, Lexington, KY 40513 (United States)] [Portsmouth/Paducah Project Office, United States Department of Energy, 1017 Majestic Drive, Lexington, KY 40513 (United States)

    2013-07-01T23:59:59.000Z

    As part of a preliminary waste acceptance criteria (PWAC) development, several commercial models were employed, including the Hydrologic Evaluation of Landfill Performance model (HELP) [1], the Disposal Unit Source Term - Multiple Species model (DUSTMS) [2], and the Analytical Transient One, Two, and Three-Dimensional model (AT123D) [3]. The results of these models were post-processed in MS Excel spreadsheets to convert the model results to alternate units, compare the groundwater concentrations to the groundwater concentration thresholds, and then to adjust the waste contaminant masses (based on average concentration over the waste volume) as needed in an attempt to achieve groundwater concentrations at the limiting point of assessment that would meet the compliance concentrations while maximizing the potential use of the landfill (i.e., maximizing the volume of projected waste being generated that could be placed in the landfill). During the course of the PWAC calculation development, one of the Microsoft (MS) Excel spreadsheets used to post-process the results of the commercial model packages grew to include more than 575,000 formulas across 18 worksheets. This spreadsheet was used to assess six base scenarios as well as nine uncertainty/sensitivity scenarios. The complexity of the spreadsheet resulted in the need for a rigorous quality control (QC) procedure to verify data entry and confirm the accuracy of formulas. (authors)

  10. Activated carbon adsorbents from waste tires for air quality control

    SciTech Connect (OSTI)

    Lehmann, C.M.B.; Rostam-Abadi, M.; Rood, M.J.; Hsi, H.C.

    1999-07-01T23:59:59.000Z

    This study evaluates methodologies for utilizing waste tire rubber to produce carbonaceous adsorbents for use in air quality control operations. Such an approach provides a two-fold environmental and economic benefit. A recycling path is developed for waste tire rubber and new adsorbents are produced from a low cost feedstock for use in environmentally-related operations. Bench-scale and pilot-scale quantities of tire-derived activated carbon (TDAC) were produced from waste tire rubber. Raw tire rubber samples and devolatilized tire char were obtained from several US vendors. The raw samples were analyzed using proximate, ultimate, and elemental analyses. Batches of activated carbon samples were prepared using a bench-scale fixed-tubular reactor to prepare {approximately}10 g samples and a fluidized-bed reactor to prepare {approximately}100 g quantities. About 25 kg of activated carbon was also produced at a pilot-scale commercial facility. The resulting TDACs were then characterized by nitrogen adsorption at 77K. The sample surface areas were determined by the BET method, and the pore size distribution (PSD) was evaluated using the BJH model, and a 3-D PSD model. Performance of the TDACs was evaluated in their ability to remove gaseous mercury species from simulated power-plant flue-gas streams, and for the removal of organic compounds (e.g., acetone and 1,1,1-trichloroethane) from flowing gas streams.

  11. In and Out of the ER: Protein Folding, Quality Control, Degradation, and Related Human Diseases

    E-Print Network [OSTI]

    Hebert, Daniel N.

    In and Out of the ER: Protein Folding, Quality Control, Degradation, and Related Human Diseases 1377 C. Protein folding 1378 II. Protein Translocation, Folding, and Quality Control in the Endoplasmic Reticulum 1379 A. Protein targeting to the ER 1379 B. Chaperone-assisted protein folding in the ER 1379 C

  12. Multifamily Quality Control Inspector Job/Task Analysis and Report: September 2013

    SciTech Connect (OSTI)

    Owens, C. M.

    2013-09-01T23:59:59.000Z

    The development of job/task analyses (JTAs) is one of three components of the Guidelines for Home Energy Professionals project and will allow industry to develop training resources, quality assurance protocols, accredited training programs, and professional certifications. The Multifamily Quality Control Inspector JTA identifies and catalogs all of the tasks performed by multifamily quality control inspectors, as well as the knowledge, skills, and abilities (KSAs) needed to perform the identified tasks.

  13. Quality Assurance Program Plan for FFTF effluent controls. Revision 1

    SciTech Connect (OSTI)

    Seamans, J.A.

    1995-06-08T23:59:59.000Z

    This Quality Assurance Program Plan is specific to environmental related activities within the FFTF Property Protected Area. The activities include effluent monitoring and Low Level Waste Certification.

  14. A Control Theoretical Model for Quality of Service Adaptations Baochun Li, Klara Nahrstedt

    E-Print Network [OSTI]

    Li, Baochun

    A Control Theoretical Model for Quality of Service Adaptations Baochun Li, Klara Nahrstedt to adapt their behavior to the resource variations of the system. We propose a Task Control Model to rigorously model the dynamics of an adaptive system, using the digital control theory. With our Task Control

  15. A Control Theoretical Model for Quality of Service Adaptations Baochun Li, Klara Nahrstedt \\Lambda

    E-Print Network [OSTI]

    Nahrstedt, Klara

    A Control Theoretical Model for Quality of Service Adaptations Baochun Li, Klara Nahrstedt \\Lambda to adapt their behavior to the resource variations of the system. We propose a Task Control Model to rigorously model the dynamics of an adaptive system, using the digital control theory. With our Task Control

  16. Lazy learning indirect control for discrete-time non-linear systems Gianluca Bontempi, Mauro Birattari

    E-Print Network [OSTI]

    Bontempi, Gianluca

    Lazy learning indirect control for discrete-time non-linear systems Gianluca Bontempi, Mauro propose a hybrid architecture for the indirect control of non linear discrete time plants from of the resulting controller in a simplified case. Experimental results in the control of some non linear benchmarks

  17. A Composite Energy Function Based Sub-optimal Learning Control Approach for Nonlinear Systems with

    E-Print Network [OSTI]

    Sontag, Eduardo

    A Composite Energy Function Based Sub-optimal Learning Control Approach for Nonlinear Systems with nonlinear sub-optimal control to enhance control performance for a class of nonlinear system with time optimal control [1-4]. However it would be difficult to apply these methods in the presence of system

  18. A New Loss Control Management System; Assimilating Loss Control Methodology in Reducing the Overall Quality Losses in XYZ Chemical Corporation

    E-Print Network [OSTI]

    Shaikh, Sameer

    2011-05-20T23:59:59.000Z

    . Many programs are being implemented to support high quality products and chief amongst them is the use of Statistical Process Control software called “STATPRO”. STATPRO not only helps in computing and analyzing SPC but also track a record of changes...

  19. Quality Assurance Specialist

    Broader source: Energy.gov [DOE]

    Alternate Title(s):Quality Control Technician; Quality Assurance Inspector; Quality Assurance Representative

  20. Low-Emissions Exhaust Quality Control System to Optimize

    E-Print Network [OSTI]

    this control technology to microturbines with absorption chillers. The project anticipates an improvement

  1. 2004 Indian River Lease Area, Indian River County Quality Assurance/Quality Control (QA/QC) Log

    E-Print Network [OSTI]

    Florida, University of

    the month. This includes information on fouling, equipment failures and whether post-deployment checks were or a lack of standardization between the two sondes). Notes regarding reliability of data (whether/Quality Control (QA/QC) Log General Notes on Reliability of Data: 1) In general, measurements of temperature

  2. ContentsContents4466Reliability and quality control

    E-Print Network [OSTI]

    Vickers, James

    outcomes You will first learn about the importance of the concept of reliability applied to systems such things as maintenance and part replacement schedules, whole system replacements and reliability testing systems understand the relationship between the Weibull distribution and the exponential distribution #12

  3. Human-computer interaction task learning: an empirical investigation of interface quality

    E-Print Network [OSTI]

    Packebush, Sherrill Janine

    1993-01-01T23:59:59.000Z

    This research examines learnability measures derived from the all-or-none stochastic learning model. The all-or-none model represents the paired-associate learning that occurs during the initial learning of human-computer interaction (HCI) tasks...

  4. QUALITY ASSURANCE/QUALITY CONTROL MANUAL FOR THE LOWER CAPE FEAR RIVER PROGRAM

    E-Print Network [OSTI]

    Mallin, Michael

    Operating Procedures for Field Sampling..........................7 7 Chain of Custody Maintenance and Calibration" to "Multi-Parameter Water Quality Meter Operation". Page 1 - Introduction............................................................................1 5 Station Descriptions and Sampling Schedule.................................3 6 Standard

  5. EERE Quality Control Workshop Proceedings Released | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22, 2014FluidLaboratoryDesertEEREEERE QualityQuality

  6. ABSTRACT: This paper describes one Learning in Optimal Non-linear Control *

    E-Print Network [OSTI]

    Moore, John Barratt

    Functional ABSTRACT: This paper describes one Learning in Optimal Non-linear Control * ~. Irlicht of nonfinear systems is to apply f{.~wiback control based on plant linearization and application of linear qll)irve robustness in optimization control working with a linearized .tatr-depenrlent plant model. I;vel] wit 1

  7. Dynamic Switching and Real-time Machine Learning for Improved Human Control of Assistive Biomedical Robots

    E-Print Network [OSTI]

    Sutton, Richard S.

    Dynamic Switching and Real-time Machine Learning for Improved Human Control of Assistive Biomedical Abstract-- A general problem for human-machine interaction occurs when a machine's controllable dimensions outnumber the control channels available to its human user. In this work, we examine one prominent example

  8. Lessons Learned in Optimizing Workers' and Worker Representatives' Input to Work Planning and Control

    Broader source: Energy.gov [DOE]

    Slide Presentation by Tom McQuiston, Dr. P.H., United Steelworkers - Tony Mazzocchi Center for Health, Safety and Environmental Education. Lessons Learned in Optimizing Workers’ and Worker Representatives’ Input in Work Planning and Control.

  9. Contractor Work Planning and Control Lessons Learned from DOE and International Projects

    Broader source: Energy.gov [DOE]

    Slide Presentation by Bob McQuinn; URS Global Management and Operations Services; Frank McCoy and Rick Runnels; URS - Professional Solutions. Contractor Work Planning and Control-URS Lessons Learned.

  10. First analysis stepsFirst analysis steps o quality control and optimization

    E-Print Network [OSTI]

    Spang, Rainer

    First analysis stepsFirst analysis steps o quality control and optimization o calibration and error intensities; · background intensities; · quality measures. R and G for each spot on the array. #12 by #12;What is (local) background? usual assumption: total brightness = background brightness (adjacent

  11. Quality Control of WSR-88D Reflectivity Data V Lakshmanan, Kurt Hondl, Gregory Stumpf, Travis Smith

    E-Print Network [OSTI]

    Lakshmanan, Valliappa

    Quality Control of WSR-88D Reflectivity Data V Lakshmanan, Kurt Hondl, Gregory Stumpf, Travis Smith this to compare our technique. · Steiner and Smith, from Princeton University, developed a rule base. Similar

  12. Wastewater Regulations for National Pollutant Discharge Elimination System (NPDES) Permits, Underground Injection Control (UIC) Permits, State Permits, Water Quality Based Effluent Limitations and Water Quality Certification (Mississippi)

    Broader source: Energy.gov [DOE]

    The Wastewater Regulations for National Pollutant Discharge Elimination System (NPDES) Permits, Underground Injection Control (UIC) Permits, State Permits, Water Quality Based Effluent Limitations...

  13. Parametric study to evaluate benefits of fracture fluid quality control and in-situ stress research

    E-Print Network [OSTI]

    Satayapunt, Jeeradete

    1991-01-01T23:59:59.000Z

    to evaluate the benefits of the GRI research using a data set for an "average" well. Results of that study indicated that the money invested in fluid quality control and in-situ stress measurements will yield a positive return on the investment...PARAMETRIC STUDY TO EVALUATE BENEFITS OF FRACTURE FLUID QUALITY CONTROL AND IN-SITU STRESS RESEARCH A Thesis by JEERADETE SATAYAPUNT Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment...

  14. automated quality control: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Ioannou A, utomatic is todesign and test avehicle control system in order toachieve full vehicle automation in the longitudinal vehicle following isan important feature of a fully...

  15. Analyst Tools and Quality Control Software for the ARM Data System

    SciTech Connect (OSTI)

    Moore, S.T.

    2004-12-14T23:59:59.000Z

    ATK Mission Research develops analyst tools and automated quality control software in order to assist the Atmospheric Radiation Measurement (ARM) Data Quality Office with their data inspection tasks. We have developed a web-based data analysis and visualization tool, called NCVweb, that allows for easy viewing of ARM NetCDF files. NCVweb, along with our library of sharable Interactive Data Language procedures and functions, allows even novice ARM researchers to be productive with ARM data with only minimal effort. We also contribute to the ARM Data Quality Office by analyzing ARM data streams, developing new quality control metrics, new diagnostic plots, and integrating this information into DQ HandS - the Data Quality Health and Status web-based explorer. We have developed several ways to detect outliers in ARM data streams and have written software to run in an automated fashion to flag these outliers.

  16. automatic quality control: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Control software called STATPRO. STATPRO not only helps in computing and analyzing SPC but also track a record of changes... Shaikh, Sameer 2011-05-20 445 IEEE TRANSACTIONS...

  17. Quality Control, Testing, and Deployment Results in the NIF ICCS

    SciTech Connect (OSTI)

    Woodruff, J P; Casavant, D; Cline, B D; Gorvad, M R

    2001-10-11T23:59:59.000Z

    The strategy used to develop the NIF Integrated Computer Control System (ICCS) calls for incremental cycles of construction and formal test to deliver a total of 1 million lines of code. Each incremental release takes four to six months to implement specific functionality and culminates when offline tests conducted in the ICCS Integration and Test Facility verify functional, performance, and interface requirements. Tests are then repeated on line to confirm integrated operation in dedicated laser laboratories or ultimately in the NIF. Test incidents along with other change requests are recorded and tracked to closure by the software change control board (SCCB). Annual independent audits advise management on software process improvements. Extensive experience has been gained by integrating controls in the prototype laser preamplifier laboratory. The control system installed in the preamplifier lab contains five of the ten planned supervisory subsystems and seven of sixteen planned front-end processors (FEPs). Beam alignment, timing, diagnosis and laser pulse amplification up to 20 joules was tested through an automated series of shots. Other laboratories have provided integrated testing of six additional FEPs. Process measurements including earned-value, product size, and defect densities provide software project controls and generate confidence that the control system will be successfully deployed.

  18. EERE QC Workshop: Overview of Quality Control Techniques | Department of

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S.ContaminationJulySavannah RiverSustainabilityEnergy Overview of quality

  19. Water Quality

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Water Quality Water Quality We protect water quality through stormwater control measures and an extensive network of monitoring wells and stations encompassing groundwater, surface...

  20. Synergies in Industrial Engineering Research: The Case of Simulation and Quality Control

    E-Print Network [OSTI]

    Statistical Process Control (SPC) for Correlated Processes 2 Synergies in Recent Research on Simulation and Quality Control Advances in SPC Driven by Simulation Advances in Simulation Driven by SPC 3 A Closer Look-Means Procedure Method of Standardized Time Series 4 A Closer Look at SPC for Correlated Processes DFTC

  1. Assessing Quality of Policy Properties in Verification of Access Control Policies

    E-Print Network [OSTI]

    Young, R. Michael

    Assessing Quality of Policy Properties in Verification of Access Control Policies Evan Martin Tao, which are often manually specified. Policy verification is an important tech- nique for high assurance and hardware resources, especially for distributed systems. It controls which principals such as users

  2. Audience/Panel Discussion: Sites Lesson Learned about Activity-level Work Planning and Control Using EFCOG Work Planning and Control Guideline

    Broader source: Energy.gov [DOE]

    Slide Presentation by Donna J. Governor, Deputy Dept Mgr for Planning & Integration, Lawrence Livermore National Laboratory. Lawrence Livermore National Laboratory work planning and control lessons learned and audience/panel discussion on site's lessons learned about Activity-level Work Planning and Control using EFCOG Work Planning and Control Guideline Document.

  3. DISSERTATION A SYNTHESIS OF REINFORCEMENT LEARNING AND ROBUST CONTROL THEORY

    E-Print Network [OSTI]

    Anderson, Charles W.

    controllers are designed not on the physical plant to be controlled, but on a mathematical model of the plant. Robust control overcomes this problem by adding uncertainty to the mathematical model. The result is a more general, less aggressive controller which performs well on both the model and the physical plant

  4. Learning to Control Dynamic Systems Tanja Urbancic (1) and Ivan Bratko (1,2)

    E-Print Network [OSTI]

    Taylor, Charles C.

    13 Learning to Control Dynamic Systems Tanja UrbanŸciŸc (1) and Ivan Bratko (1,2) (1) JoŸzef Stefan systems (Dvo­ rak, 1987), neural networks (Miller et al., 1990; Hunt et al., 1992), fuzzy control (Lee stated above. Taking into ac­ count also increasing complexity of modern systems together with real

  5. Statistical Learning Controller for the energy management in a Fuel Cell Electric Vehicle

    E-Print Network [OSTI]

    Statistical Learning Controller for the energy management in a Fuel Cell Electric Vehicle M a high efficiency energy management control strategy for a hybrid fuel cell vehicle. The proposed the model of a real hybrid car, "Smile" developed by FAAM, using a stack of fuel cells as the primary power

  6. Design, Analysis, and Learning Control of a Fully Actuated Micro Wind Turbine

    E-Print Network [OSTI]

    Tedrake, Russ

    Design, Analysis, and Learning Control of a Fully Actuated Micro Wind Turbine J. Zico Kolter of renewable energy, and improvements to wind turbine design and control can have a significant impact a actuated micro wind turbine intended for research purposes. While most academic work on wind turbine

  7. Learning models of camera control for imitation in football matches

    E-Print Network [OSTI]

    Demiris, Yiannis

    be used to provide coverage for a match, each requiring a human operator. Using robotic cameras, automated learn a model of the movement of human cameraman in terms of how the players are moving. 1 Department the movement of the camera and the position of players in the game. The same algorithms are applied to both

  8. Learning-based controller for biotechnology processing, and method of using

    DOE Patents [OSTI]

    Johnson, John A.; Stoner, Daphne L.; Larsen, Eric D.; Miller, Karen S.; Tolle, Charles R.

    2004-09-14T23:59:59.000Z

    The present invention relates to process control where some of the controllable parameters are difficult or impossible to characterize. The present invention relates to process control in biotechnology of such systems, but not limited to. Additionally, the present invention relates to process control in biotechnology minerals processing. In the inventive method, an application of the present invention manipulates a minerals bioprocess to find local exterma (maxima or minima) for selected output variables/process goals by using a learning-based controller for bioprocess oxidation of minerals during hydrometallurgical processing. The learning-based controller operates with or without human supervision and works to find processor optima without previously defined optima due to the non-characterized nature of the process being manipulated.

  9. Robust Reinforcement Learning Control with Static and Dynamic Stability

    E-Print Network [OSTI]

    Kretchmar, R. Matthew

    Typical controller design techniques are based on a mathematical model that captures as much as possible for the plant model, but for the real plant. Robust control theory addresses this goal by including in the model, or known and nonlinear, parts of the plant. Robust control techniques are applied to the plant model

  10. Real-Time Control of Diesel Combustion Quality

    SciTech Connect (OSTI)

    Wagner, R.M.; Sisken, K (Detroit Diesel Corp.)

    2010-06-30T23:59:59.000Z

    Detroit Diesel Corporation (DDC) and ORNL established this CRADA to improve heavy-duty engine efficiency with reduced emissions at relatively extreme operating regimes such has high EGR, low-load, and cold-start, with an emphasis on the application of advanced control strategies. The approach used in this collaborative effort was to include the application of novel analysis and modeling techniques devel-oped from the application of nonlinear dynamics and chaos theory. More specifically, analytical tech-niques derived from these theories were to used to detect, characterize, and control the combustion insta-bilities that are responsible for poor combustion performance and corresponding high emissions. The foundation of this CRADA was established based on ORNL expertise on the fundamentals of ad-vanced combustion operation and experience with nonlinear dynamics and controls in combustion sys-tems. The initial plan was all data generation would be performed at DDC with an agreed upon experi-mental plan formed by both organizations. While numerous experiments were performed at DDC and the data was exchanged with ORNL researchers, the team decided to transfer an engine to ORNL to allow more flexibility and data generation opportunities. A prototype DDC Series 60 with a common rail fuel system was selected and installed at ORNL. DDC and ORNL maintained a strong collaboration throughout much of this project. Direct funding from DOE ended in 2004 and DDC continued to fund at a reduced amount through 2007. This CRADA has not been funded in more recent years but has been maintained active in anticipation of restored funding. This CRADA has led to additional collaborations between DDC and ORNL.

  11. Machine Learning for Humanoid Robot Modeling and Control /

    E-Print Network [OSTI]

    Wu, Tingfan

    2013-01-01T23:59:59.000Z

    of robot dynamics parameters: Theory and application. [36]in [12] for applications to model free robot control. ThisApplication to Robotics For Newtonian problems, including articulated robots,

  12. Subtask 2.12 - Air Quality Assessment and Control

    SciTech Connect (OSTI)

    Laura Raymond

    2007-07-30T23:59:59.000Z

    Past particulate matter (PM) research projects conducted at the Energy & Environmental Research Center included data on PM size, morphology, and chemistry. The objective of this project was to improve automated analysis capabilities of the scanning electron microscope (SEM) equipped with an energy-dispersive spectrometer. The SEM is now able to perform particle-by-particle analysis on the desired number of particles and provide size, morphology, and chemistry information for each particle. A new x-ray and image analysis system was purchased and implemented for improvements to data acquisition and analysis. This new analysis system is equipped with a digital-pulse processor, allowing for the determination of pixel-by-pixel chemistry, which significantly enhances our ability to characterize PM and other materials. In addition, this system is personal computer-based, which allows programming of the SEM to perform the automated image analysis along with detailed chemical information. This permits the incorporation of particle classification algorithms within the same computer system as the analysis is conducted. Additionally, the new Spirit software can now integrate full SEM control with imaging, elemental identification, and electron backscatter diffraction (EBSD) operation. The EBSD system has also allowed for phase identification within the SEM. Reexamination of previous samples collected on a polycarbonate filter for ambient-air PM2.5 analysis has shown that crystalline identification of individual particles can be done without further sample preparation or modification of the sample and/or sampling substrate.

  13. Aggies Commit to Learning for a Lifetime What is a Quality Enhancement Plan?

    E-Print Network [OSTI]

    course of action that addresses a well defined and focused topic or issue related to enhancing student learning outcomes specified in the Academic Master Plan. The goal of Aggies Commit is to ensure students existing and/or develop new sustainable high impact learning experiences to help students achieve selected

  14. Production of High Quality Dust Control Foam to Minimize Moisture Addition to Coal

    E-Print Network [OSTI]

    Termine, F.; Jordan, S. T.

    PRODUCTION OF HIGH QUALITY DUST CONTROL FOAM TO MINIMIZE MOISTURE ADDITION TO COAL Frank Tenni ne Steve T. Jordan BETZ Laboratories, Trevose, PA Inc. ABSTRACT Foam is displacing wet suppression as the method of choice for controlling... fugitive emissions from coal. Coal treated by wet suppression consumes through moisture addition, a heat energy equivalent of 1 ton out of every 500 tons fired. The application of foam requires less than 10% of the moisture usually required for wet...

  15. Repetitive and Iterative Learning Control for Power Converter and Precision Motion Control

    E-Print Network [OSTI]

    Teng, Kuo-Tai

    2014-01-01T23:59:59.000Z

    3 Repetitive Control of Power Inverter for Harmonic4 Repetitive Control of Power Rectifier for HarmonicThe typical PI controlled power converters can not guarantee

  16. Adaptive Optimal Feedback Control with Learned Internal Dynamics Models 

    E-Print Network [OSTI]

    Mitrovic, Djordje; Klanke, Stefan; Vijayakumar, Sethu

    2010-01-01T23:59:59.000Z

    , have focused on the case of non-linear, but still analytically available, dynamics. For realistic control systems, however, the dynamics may often be unknown, difficult to estimate, or subject to frequent systematic changes. In this chapter, we combine...

  17. Online learning algorithm for structural control using magnetorheological actuators

    E-Print Network [OSTI]

    Laflamme, Simon, M. Eng. Massachusetts Institute of Technology

    2007-01-01T23:59:59.000Z

    Magnetorheological actuators are promising devices for mitigating vibrations because they only require a fraction of energy for a similar performance to active control. Conversely, these semi-active devices have limited ...

  18. Symbolic Quality Control for Multimedia Applications Jacques Combaz, Jean-Claude Fernandez, Joseph Sifakis, Loic Strus

    E-Print Network [OSTI]

    Sifakis, Joseph

    schedules. We present experimental results including the implementation of the method and benchmarks for an MPEG4 video encoder. The benchmarks show drastic performance improvement for controlled quality dynamics and static resource reservation. This approach is applied whenever a system's correctness means

  19. Quality control of MATa1 splicing and exon skipping by nuclear RNA degradation

    E-Print Network [OSTI]

    Chanfreau, Guillaume

    Quality control of MATa1 splicing and exon skipping by nuclear RNA degradation Defne E. Egecioglu that unspliced and partially spliced forms of the MATa1 mRNA are degraded by the nuclear exonuclease Rat1p has skipped exon2 and generated exon1­exon3 products are degraded by the nuclear 50 ­30 exo- nuclease

  20. Preliminary Thermography Studies for Quality Control of Concrete Structures Strengthened with

    E-Print Network [OSTI]

    Entekhabi, Dara

    Preliminary Thermography Studies for Quality Control of Concrete Structures Strengthened with Fiber at the substrate interface and within multi-ply systems. Infrared thermography is well suited for this purpose efficiently. Before infrared thermography can be developed into a standard methodology, however

  1. EFFECT OF PITCH CONTROL AND POWER CONDITIONING ON POWER QUALITY OF VARIABLE SPEED WIND TURBINE GENERATORS

    E-Print Network [OSTI]

    EFFECT OF PITCH CONTROL AND POWER CONDITIONING ON POWER QUALITY OF VARIABLE SPEED WIND TURBINE), Curtin University of Technology, WA Abstract: Variable speed wind turbine generators provide the opportunity to capture more power than fixed speed turbines. However the variable speed machine output can

  2. Efficient Reinforcement Learning for Motor Control Marc Peter Deisenroth and Carl Edward Rasmussen

    E-Print Network [OSTI]

    Ghahramani, Zoubin

    Efficient Reinforcement Learning for Motor Control Marc Peter Deisenroth and Carl Edward Rasmussen Department of Engineering, University of Cambridge Trumpington Street, Cambridge CB2 1PZ, UK Abstract Research Foun- dation (DFG) through grant RA 1030/1-3 to CE Rasmussen. is to reduce the interactions

  3. Nanotube Formation: Researchers Learn To Control The Dimensions Of Metal Oxide Nanotubes

    E-Print Network [OSTI]

    Nair, Sankar

    made from metal oxides -- work that could lead to a technique for precisely conNanotube Formation: Researchers Learn To Control The Dimensions Of Metal Oxide Nanotubes Science their diameter and length. Based on metal oxides in combination with silicon and germanium, such single

  4. Preferred track: Speech Motor Control Title: Specificity of speech sensori-motor learning

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    COVER PAGE Preferred track: Speech Motor Control Title: Specificity of speech sensori-motor University, France. Ph.D. thesis focused on the link between language universals and the motor constraints of speech production. Current research focuses on speech sensori-motor learning and its consequences

  5. Analyst Tools and Quality Control Software for the ARM Data System

    SciTech Connect (OSTI)

    Moore, Sean; Hughes, Gary

    2008-07-31T23:59:59.000Z

    Mission Research develops analyst tools and automated quality control software in order to assist the Atmospheric Radiation Measurement (ARM) Data Quality Office with their data inspection tasks. We have developed web-based data analysis and visualization tools such as the interactive plotting program NCVweb, various diagnostic plot browsers, and a datastream processing status application. These tools allow even novice ARM researchers to be productive with ARM data with only minimal effort. We also contribute to the ARM Data Quality Office by analyzing ARM data streams, developing new quality control metrics, new diagnostic plots, and integrating this information into DQ HandS - the Data Quality Health and Status web-based explorer. We have developed several ways to detect outliers in ARM data streams and have written software to run in an automated fashion to flag these outliers. We have also embarked on a system to comprehensively generate long time-series plots, frequency distributions, and other relevant statistics for scientific and engineering data in most high-level, publicly available ARM data streams. Furthermore, frequency distributions categorized by month or by season are made available to help define valid data ranges specific to those time domains. These statistics can be used to set limits that when checked, will improve upon the reporting of suspicious data and the early detection of instrument malfunction. The statistics and proposed limits are stored in a database for easy reporting, refining, and for use by other processes. Web-based applications to view the results are also available.

  6. Evolutionary Algorithms for Learning of Mobile Robot Controllers

    E-Print Network [OSTI]

    Hoffmann, Frank

    systems in order to bene t from the advantages of each methodology. Thirty years ago Lot Zadeh 6] founded for fuzzy systems using genetic algo- rithms. A exible, compact coding scheme for the genetic representation control, genetic algorithms, mobile robot, autonomous agent 1 Introduction The guiding principle of soft

  7. Iterative Learning Control Applications to High Power Microwave Tubes

    E-Print Network [OSTI]

    high­peak power microwave (HPM) sources typically operate in the single shot regime because commercial HPM systems that operate at modest repetition rates, two examples of which include a system based is then to implement the control algorithms on a physical tube in order to build a ``smart tube'' HPM source. By smart

  8. Iterative Learning Control Applications to High Power Microwave Tubes

    E-Print Network [OSTI]

    high-peak power microwave (HPM) sources typically operate in the single shot regime because commercial HPM systems that operate at modest repetition rates, two examples of which include a system based is then to implement the control algorithms on a physical tube in order to build a "smart tube" HPM source. By smart

  9. Iterative Learning Control Applications to High Power Microwave Tubes

    E-Print Network [OSTI]

    day high-peak power microwave (HPM) sources typically operate in the * *single shot regime because commercial HPM systems that operate at modest repetition rates, two examples of* * which include a system the control algorithms on a * *physical tube in order to build a "smart tube" HPM source. By smart tube we

  10. Repetitive and Iterative Learning Control for Power Converter and Precision Motion Control

    E-Print Network [OSTI]

    Teng, Kuo-Tai

    2014-01-01T23:59:59.000Z

    of Power Inverter . . . . . . . . . . . . . . . . . . . .Repetitive Control of Power Inverter for Harmonic Compensa-of power inverter . . . . . . . . . . . . . . . . . . PI

  11. Quality Control of Temperature and Salinity from CTD based on Anomaly Detection

    E-Print Network [OSTI]

    Castelão, Guilherme P

    2015-01-01T23:59:59.000Z

    The CTD is a set of sensors used by oceanographers to measure fundamental hydrographic properties of the oceans. It is characterized by a high precision product, only achieved if a quality control procedure identifies and removes the bad samples. Such procedure has been traditionally done by a sequence of independent tests that minimize false negatives. It is here proposed a novel approach to identify the bad samples as anomalies in respect to the typical behavior of good data. Several tests are combined into a single multidimensional evaluation to provide a more flexible classification criterion. The traditional approach is reproduced with an error of 0.04%, otherwise, the Anomaly Detection technique surpasses the reference if calibrated by visual inspection. CoTeDe is a Python package developed to apply the traditional and the Anomaly Detection quality control of temperature and salinity data from CTD, and can be extended to XBT, ARGO and other sensors.

  12. SU-E-T-48: Automated Quality Assurance for XML Controlled Linacs

    SciTech Connect (OSTI)

    Valdes, G; Morin, O; Pouliot, J; Chuang, C [UC San Francisco, San Francisco, CA (United States)

    2014-06-01T23:59:59.000Z

    Purpose: To automate routine imaging QA procedures so that complying with TG 142 and TG 179 can be efficient and reliable. Methods: Two QA tests for a True Beam Linac were automatized. A Winston Lutz test as described by Lutz et al{sup 1} using the Winston Lutz test kit from BrainLab, Germany and a CBCT Image Quality test as described in TG 179 using the EMMA phantom, Siemens Medical Physics, Germany were performed in our True Beam. For each QA procedure tested, a 3 step paradigm was used. First, the data was automatically acquired using True Beam Developer Mode and XML scripting. Second, the data acquired in the first step was automatically processed using in-home grown Matlab GUIs. Third, Machine Learning algorithms were used to automatically classify the processed data and reports generated. Results: The Winston Luzt test could be performed by an experienced medical physicist in 29.0 ± 8.0 min. The same test, if automated using our paradigm, could be performed in 3.0 ± 0.1 min. In the same lieu, time could be substantially saved for image quality tests. In this case, the amount of time saved will depend on the phantoms used and the initial localization method. Additionally, machine learning algorithms could automatically identify the roots of the problems if any and possibly help reduce machine down time. Conclusion: Modern linear accelerators are equipped with advanced 2D and 3D imaging that are used for patient alignment substantially improving IGRT protocols. However, this extra complexity exponentially increases the number of QA tests needed. Using the new paradigm described above, not only bare minimum but best practice QA programs could be implemented with the same manpower. This work is supported by Varian, Palo Alto, CA.

  13. How is a motor skill learned? Change and invariance at the levels of task success and trajectory control

    E-Print Network [OSTI]

    How is a motor skill learned? Change and invariance at the levels of task success and trajectory control Lior Shmuelof,1 John W. Krakauer,2 and Pietro Mazzoni1 1 Motor Performance Laboratory 11 April 2012 Shmuelof L, Krakauer JW, Mazzoni P. How is a motor skill learned? Change and invariance

  14. The effect of locus of control and learned helplessness on control of heart rate using biofeedback

    E-Print Network [OSTI]

    Logsdon, Steven Alan

    1976-01-01T23:59:59.000Z

    func- tions through biofeedback training (Ray, 1971; Wagner, et al. , 1974) . Ray (1971) found that internals were able to increase their heart rates significantly better than externals and that externals were able to decrease their heart rates... for internals to increase heart rate than to decrease it, and it is easier for externals to decrease heart rate than to increase it. Roth s Kubal (in press) have shown that learned helplessness effects can be facilitated by an increased number of exposures...

  15. Lessons Learned at the Nevada National Security Site Implementing the EFCOG Activity-level Work Planning and Control Guide

    Broader source: Energy.gov [DOE]

    Slide Presentation by Steele Coddington, Work Planning Manager, National Security Technologies, Nevada National Security Site. Lessons Learned Implementing Work Planning & Control. 6 Step Process for improving WP&C.

  16. Quality Control and Census of SMART-R Observations from the DYNAMO/CINDY2011 Field Campaign

    E-Print Network [OSTI]

    Fliegel, Jonathan 1988-

    2012-09-24T23:59:59.000Z

    . Data from SMART-R is available for 2 October 2011 through 9 February 2012. Every 10 minutes a full volume scan was produced, which was subsequently run through quality control algorithms that, among other filters, performed a calibration correction...

  17. Method of controlling coherent synchroton radiation-driven degradation of beam quality during bunch length compression

    DOE Patents [OSTI]

    Douglas, David R. (Newport News, VA); Tennant, Christopher D. (Williamsburg, VA)

    2012-07-10T23:59:59.000Z

    A method of avoiding CSR induced beam quality defects in free electron laser operation by a) controlling the rate of compression and b) using a novel means of integrating the compression with the remainder of the transport system: both are accomplished by means of dispersion modulation. A large dispersion is created in the penultimate dipole magnet of the compression region leading to rapid compression; this large dispersion is demagnified and dispersion suppression performed in a final small dipole. As a result, the bunch is short for only a small angular extent of the transport, and the resulting CSR excitation is small.

  18. Proceedings for air quality management programs: A workshop on lessons learned

    SciTech Connect (OSTI)

    Streit, G.E. [comp.

    1993-06-01T23:59:59.000Z

    The coordinators of this project at Los Alamos National Laboratory and the Instituto Mexicano del Petroleo proposed a workshop to bring together an international group of experts to present both the lessons of history and the current practices in air quality management around the world. The workshop would also serve as a forum for presenting the accomplishments and plans of this project and for receiving comments from the assembled group. The workshop was favored with an outstanding set of speakers who represented a broad spectrum of experience. Their papers are presented in this volume. The total attendance was forty-four (see List of Participants) with representation from numerous interested Mexican institutions. Individual reports are processed separately for the database.

  19. INTERNATIONALJOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING. VOL.7,417-433 (1993) LEARNING GRAVITY COMPENSATION IN ROBOTS

    E-Print Network [OSTI]

    De Luca, Alessandro

    1993-01-01T23:59:59.000Z

    task that can be solved either by PID control or by model-basedgravity compensation. These approaches for a two-link robot with a flexible forearm. KEY WORDS Robot control Regulation Elastic joints Flexible manipulators Iterative learning 1. INTRODUCTION Regulation of multilink manipulators is often performed using

  20. Application of information technology and statistical process control in pharmaceutical quality assurance & compliance

    E-Print Network [OSTI]

    Srinivasan, Asvin

    2011-01-01T23:59:59.000Z

    Recently, the FDA issued new quality guidelines (Q10) encouraging drug manufacturers to improve their quality monitoring procedures. This renewed focus on quality and risk management has prompted Novartis to re-evaluate ...

  1. Measurement and control of brake pedal feel quality in automobile manufacturing

    E-Print Network [OSTI]

    Cerilles, Jeffrey T. (Jeffrey Thomas)

    2005-01-01T23:59:59.000Z

    Customer perception of brake pedal feel quality, as related to the perception of the brake pedal feeling soft or mushy, depends on both the customer's subjective judgment of quality and the actual build quality of the brake ...

  2. EERE Quality Control Workshop Final Report: Proceedings from the EERE Quality Control Workshop, in support of the DOE Clean Energy Manufacturing Initiative; Golden, Colorado, December 9-10, 2013

    SciTech Connect (OSTI)

    Not Available

    2014-05-01T23:59:59.000Z

    The U.S. Department of Energy Office of Energy Efficiency & Renewable Energy (EERE) has recognized the cross-cutting, pre-competitive and enabling nature of quality control for a wide range of clean energy technologies. As such, the Fuel Cell Technologies Office, Solar Energy Technologies Office, Vehicle Technologies Office, Building Technologies Office, and Advanced Manufacturing Office decided to explore needs and potential cross-office synergies in this area by holding the EERE Quality Control Workshop, in support of the DOE Clean Energy Manufacturing Initiative. This report summarizes the purpose and scope of the workshop; reviews the current status and state-of-the-art for in-line quality control; summarizes the results from three breakout sessions; and presents conclusions and recommendations.

  3. IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS, VOL. 12, NO. 5, SEPTEMBER/OCTOBER 2006 945 Learning Identification Control for Model-Based

    E-Print Network [OSTI]

    Kurzweg, Timothy P.

    that incorporates the materials and mechanics in order to position the components and devices, exerting forces Learning Identification Control for Model-Based Optoelectronic Packaging Shubham K. Bhat, Timothy P and learning algorithms. Index Terms--Alignment, learning model identification, optical automation, optical

  4. T. Richards, G. I. Webb and N. Craske (1988). "Object-oriented Control for Intelligent Computer Assisted Learning Systems ". Page 1 of 15

    E-Print Network [OSTI]

    Webb, Geoff

    Assisted Learning Systems ". Page 1 of 15 OBJECT-ORIENTED CONTROL FOR INTELLIGENT COMPUTER ASSISTED LEARNING SYSTEMS Tom Richards Computer Science, La Trobe University Geoff Webb Computing and Information an approach to providing a general-purpose authoring/tutoring shell for intelligent computer assisted learning

  5. MAPPING OF TRANSRECTAL ULTRASOUND PROSTATE BIOPSIES : QUALITY CONTROL AND LEARNING CURVE ASSESSMENT

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    of Pathology Address of corresponding author : Urology department Groupe Hospitalier Pitié-Salpétrière 91, Bd or the management and treatment of prostate cancer but the localization of the cores seems inaccurate. Our objective biopsies is of fundamental importance for either diagnostic purposes or the management and treatment

  6. Studien-und Prfungsordnung der Universitt Stuttgart fr den auslandsorientierten Studiengang Air Quality Control, Solid Waste and Waste Water Process Engineering

    E-Print Network [OSTI]

    Reyle, Uwe

    Air Quality Control, Solid Waste and Waste Water Process Engineering (WASTE) mit Abschluss Master Quality Control, Solid Waste and Waste Water Process Engineering" (WASTE) beschlossen. Der Rektor hat Control, Solid Waste and Waste Water Process Engineering" (WASTE) überblickt werden, die Fähigkeit

  7. Reinforcement Learning Control with Approximation of Time-Dependent Agent Dynamics

    E-Print Network [OSTI]

    Kirkpatrick, Kenton

    2013-04-30T23:59:59.000Z

    .4.2 Rotating Robot . . . . . . . . . . . . . . . . . . . . . . . . . . 45 4. DYNAMICS APPROXIMATION LEARNING . . . . . . . . . . . . . . . 56 4.1 First-Order Dynamics Learning . . . . . . . . . . . . . . . . . . . . . 58 4.2 Second-Order Dynamics Learning... . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186 B.4 Overdamped . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 188 viii LIST OF FIGURES FIGURE Page 2.1 Perceptron . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2.2 Q-learning Simulation of Robot - Goal...

  8. Making Robot Learning Controllable: A Case Study in Robot Navigation Alexandra Kirsch, Michael Schweitzer, Michael Beetz

    E-Print Network [OSTI]

    Cremers, Daniel

    Schweitzer, Michael Beetz Abstract In many applications the performance of learned robot con- trollers drags on the performance of learning and data mining ap- plications. Beetz et al. [2004] have proposed ROLL (Robot Learning is not informative for learning the dynamics of the robot. In this paper we evaluate some of the claims made by Beetz

  9. An assessment of the quality and educational adequacy of educational facilities and their perceived impact on the learning environment as reported by middle school administrators and teachers in Humble Independent School District, Humble, Texas 

    E-Print Network [OSTI]

    Monk, Douglas Matthew

    2007-04-25T23:59:59.000Z

    an assessment of the impact that these facilities have on the learning environment. This study also assesses the quality and adequacy of these middle school facilities through a purely quantitative evaluation conducted by an unbiased assessment team. Humble ISD...

  10. An assessment of the quality and educational adequacy of educational facilities and their perceived impact on the learning environment as reported by middle school administrators and teachers in Humble Independent School District, Humble, Texas

    E-Print Network [OSTI]

    Monk, Douglas Matthew

    2007-04-25T23:59:59.000Z

    an assessment of the impact that these facilities have on the learning environment. This study also assesses the quality and adequacy of these middle school facilities through a purely quantitative evaluation conducted by an unbiased assessment team. Humble ISD...

  11. Statistical quality control for volumetric modulated arc therapy (VMAT) delivery using machine log data

    E-Print Network [OSTI]

    Cheong, Kwang-Ho; Kang, Sei-Kwon; Yoon, Jai-Woong; Park, Soah; Hwang, Taejin; Kim, Haeyoung; Kim, Kyoung Ju; Han, Tae Jin; Bae, Hoonsik

    2015-01-01T23:59:59.000Z

    The aim of this study is to set up statistical quality control for monitoring of volumetric modulated arc therapy (VMAT) delivery error using machine log data. Eclipse and Clinac iX linac with the RapidArc system (Varian Medical Systems, Palo Alto, USA) is used for delivery of the VMAT plan. During the delivery of the RapidArc fields, the machine determines the delivered motor units (MUs) and gantry angle position accuracy and the standard deviations of MU (sigma_MU; dosimetric error) and gantry angle (sigma_GA; geometric error) are displayed on the console monitor after completion of the RapidArc delivery. In the present study, first, the log data was analyzed to confirm its validity and usability; then, statistical process control (SPC) was applied to monitor the sigma_MU and sigma_GA in a timely manner for all RapidArc fields: a total of 195 arc fields for 99 patients. The sigma_MU and sigma_GA were determined twice for all fields, that is, first during the patient-specific plan QA and then again during th...

  12. PROTEIN QUALITY CONTROL IN BACTERIAL CELLS: INTEGRATED NETWORKS OF CHAPERONES AND ATP-DEPENDENT PROTEASES.

    SciTech Connect (OSTI)

    FLANAGAN,J.M.; BEWLEY,M.C.

    2001-12-03T23:59:59.000Z

    It is generally accepted that the information necessary to specify the native, functional, three-dimensional structure of a protein is encoded entirely within its amino acid sequence; however, efficient reversible folding and unfolding is observed only with a subset of small single-domain proteins. Refolding experiments often lead to the formation of kinetically-trapped, misfolded species that aggregate, even in dilute solution. In the cellular environment, the barriers to efficient protein folding and maintenance of native structure are even larger due to the nature of this process. First, nascent polypeptides must fold in an extremely crowded environment where the concentration of macromolecules approaches 300-400 mg/mL and on average, each ribosome is within its own diameter of another ribosome (1-3). These conditions of severe molecular crowding, coupled with high concentrations of nascent polypeptide chains, favor nonspecific aggregation over productive folding (3). Second, folding of newly-translated polypeptides occurs in the context of their vehtorial synthesis process. Amino acids are added to a growing nascent chain at the rate of -5 residues per set, which means that for a 300 residue protein its N-terminus will be exposed to the cytosol {approx}1 min before its C-terminus and be free to begin the folding process. However, because protein folding is highly cooperative, the nascent polypeptide cannot reach its native state until a complete folding domain (50-250 residues) has emerged from the ribosome. Thus, for a single-domain protein, the final steps in folding are only completed post-translationally since {approx}40 residues of a nascent chain are sequestered within the exit channel of the ribosome and are not available for folding (4). A direct consequence of this limitation in cellular folding is that during translation incomplete domains will exist in partially-folded states that tend to expose hydrophobic residues that are prone to aggregation and/or misfolding. Thus it is not surprising that, in cells, the protein folding process is error prone and organisms have evolved ''editing'' or quality control (QC) systems to assist in the folding, maintenance and, when necessary, selective removal of damaged proteins. In fact, there is growing evidence that failure of these QC-systems contributes to a number of disease states (5-8). This chapter describes our current understanding of the nature and mechanisms of the protein quality control systems in the cytosol of bacteria. Parallel systems are exploited in the cytosol and mitochondria of eukaryotes to prevent the accumulation of misfolded proteins.

  13. PROTEIN QUALITY CONTROL IN BACTERIAL CELLS: INTEGRATED NETWORKS OF CHAPERONES AND ATP-DEPENDENT PROTEASES.

    SciTech Connect (OSTI)

    FLANAGAN,J.M.BEWLEY,M.C.

    2002-10-01T23:59:59.000Z

    It is generally accepted that the information necessary to specify the native, functional, three-dimensional structure of a protein is encoded entirely within its amino acid sequence; however, efficient reversible folding and unfolding is observed only with a subset of small single-domain proteins. Refolding experiments often lead to the formation of kinetically-trapped, misfolded species that aggregate, even in dilute solution. In the cellular environment, the barriers to efficient protein folding and maintenance of native structure are even larger due to the nature of this process. First, nascent polypeptides must fold in an extremely crowded environment where the concentration of macromolecules approaches 300-400 mg/mL and on average, each ribosome is within its own diameter of another ribosome (1-3). These conditions of severe molecular crowding, coupled with high concentrations of nascent polypeptide chains, favor nonspecific aggregation over productive folding (3). Second, folding of newly-translated polypeptides occurs in the context of their vehtorial synthesis process. Amino acids are added to a growing nascent chain at the rate of {approx}5 residues per set, which means that for a 300 residue protein its N-terminus will be exposed to the cytosol {approx}1 min before its C-terminus and be free to begin the folding process. However, because protein folding is highly cooperative, the nascent polypeptide cannot reach its native state until a complete folding domain (50-250 residues) has emerged from the ribosome. Thus, for a single-domain protein, the final steps in ffolding are only completed post-translationally since {approx}40 residues of a nascent chain are sequestered within the exit channel of the ribosome and are not available for folding (4). A direct consequence of this limitation in cellular folding is that during translation incomplete domains will exist in partially-folded states that tend to expose hydrophobic residues that are prone to aggregation and/or mislfolding. Thus it is not surprising that, in cells, the protein folding process is error prone and organisms have evolved ''editing'' or quality control (QC) systems to assist in the folding, maintenance and, when necessary, selective removal of damaged proteins. In fact, there is growing evidence that failure of these QC-systems contributes to a number of disease states (5-8). This chapter describes our current understanding of the nature and mechanisms of the protein quality control systems in the cytosol of bacteria. Parallel systems are exploited in the cytosol and mitochondria of eukaryotes to prevent the accumulation of misfolded proteins.

  14. Statistical Learning for Optimal Control of Hybrid Systems Jorge Piovesan, Chaouki Abdallah, Magnus Egerstedt, Herbert Tanner and Yorai Wardi

    E-Print Network [OSTI]

    Egerstedt, Magnus

    inputs [3], and game theoretic approaches [18]. An alternative to classical methods is provided by statisStatistical Learning for Optimal Control of Hybrid Systems Jorge Piovesan, Chaouki Abdallah, Magnus for the optimization of hybrid systems' performance. The basic approach is to generate samples from the family

  15. Results of the Excreta Bioassay Quality Control Program For April 1, 2006 Through March 31, 2007

    SciTech Connect (OSTI)

    Antonio, Cheryl L.

    2008-02-19T23:59:59.000Z

    A total of 66 urine samples, 6 blank fecal and 6 spiked artificial fecal samples were submitted during the report period (April 1, 2006 through March 31, 2007) to General Engineering Laboratories, South Carolina by the Hanford Internal Dosimetry Program (IDP) to check the accuracy, precision, and detection levels of their analyses. Urine analyses for tritium, Sr, 238Pu, 239Pu, 241Am, 243Am 235U, 238U, elemental uranium and fecal analyses for 241Am, 238Pu and 239Pu were tested this year. The number of QC urine samples submitted during the report period represented 1.7% of the total samples submitted. In addition to the samples provided by IDP, GEL was also required to conduct their own QC program, and submit the results of analyses to IDP. About 36% of the analyses processed by GEL during the second year of this contract were quality control samples. GEL tested the performance of 16 radioisotopes, all of which met or exceeded the specifications in the Statement of Work. IDP concluded that GEL was performing well for all analyses tested, and concerns identified earlier were satisfactorily resolved.

  16. Protein translocation without specific quality control in a computational model of the Tat system

    E-Print Network [OSTI]

    Chitra R. Nayak; Aidan I. Brown; Andrew D. Rutenberg

    2014-08-20T23:59:59.000Z

    The twin-arginine translocation (Tat) system transports folded proteins of various sizes across both bacterial and plant thylakoid membranes. The membrane-associated TatA protein is an essential component of the Tat translocon, and a broad distribution of different sized TatA-clusters is observed in bacterial membranes. We assume that the size dynamics of TatA clusters are affected by substrate binding, unbinding, and translocation to associated TatBC clusters, where clusters with bound translocation substrates favour growth and those without associated substrates favour shrinkage. With a stochastic model of substrate binding and cluster dynamics, we numerically determine the TatA cluster size distribution. We include a proportion of targeted but non-translocatable (NT) substrates, with the simplifying hypothesis that the substrate translocatability does not directly affect cluster dynamical rate constants or substrate binding or unbinding rates. This amounts to a translocation model without specific quality control. Nevertheless, NT substrates will remain associated with TatA clusters until unbound and so will affect cluster sizes and translocation rates. We find that the number of larger TatA clusters depends on the NT fraction $f$. The translocation rate can be optimized by tuning the rate of spontaneous substrate unbinding, $\\Gamma_U$. We present an analytically solvable three-state model of substrate translocation without cluster size dynamics that follows our computed translocation rates, and that is consistent with {\\em in vitro} Tat-translocation data in the presence of NT substrates.

  17. Results of the Excreta Bioassay Quality Control Program for April 1, 2009 through March 31, 2010

    SciTech Connect (OSTI)

    Antonio, Cheryl L.

    2012-07-19T23:59:59.000Z

    A total of 58 urine samples and 10 fecal samples were submitted during the report period (April 1, 2009 through March 31, 2010) to General Engineering Laboratories, South Carolina by the Hanford Internal Dosimetry Program (IDP) to check the accuracy, precision, and detection levels of their analyses. Urine analyses for Sr, 238Pu, 239Pu, 241Am, 243Am 235U, 238U, elemental uranium and fecal analyses for 241Am, 238Pu and 239Pu were tested this year as well as four tissue samples for 238Pu, 239Pu, 241Am and 241Pu. The number of QC urine samples submitted during the report period represented 1.3% of the total samples submitted. In addition to the samples provided by IDP, GEL was also required to conduct their own QC program, and submit the results of analyses to IDP. About 33% of the analyses processed by GEL during the third year of this contract were quality control samples. GEL tested the performance of 21 radioisotopes, all of which met or exceeded the specifications in the Statement of Work within statistical uncertainty (Table 4).

  18. Results of The Excreta Bioassay Quality Control Program For April 1, 2010 Through March 31, 2011

    SciTech Connect (OSTI)

    Antonio, Cheryl L.

    2012-07-19T23:59:59.000Z

    A total of 76 urine samples and 10 spiked fecal samples were submitted during the report period (April 1, 2010 through March 31, 2011) to GEL Laboratories, LLC in South Carolina by the Hanford Internal Dosimetry Program (IDP) to check the accuracy, precision, and detection levels of their analyses. Urine analyses for 14C, Sr, for 238Pu, 239Pu, 241Am, 243Am, 235U, 238U, 238U-mass and fecal analyses for 241Am, 238Pu and 239Pu were tested this year. The number of QC urine samples submitted during the report period represented 1.1% of the total samples submitted. In addition to the samples provided by IDP, GEL was also required to conduct their own QC program, and submit the results of analyses to IDP. About 31% of the analyses processed by GEL during the first year of contract 112512 were quality control samples. GEL tested the performance of 23 radioisotopes, all of which met or exceeded the specifications in the Statement of Work within statistical uncertainty except the slightly elevated relative bias for 243,244Cm (Table 4).

  19. Quality Management

    Broader source: Energy.gov [DOE]

    The Office of Quality Management, within the Office of Health, Safety and Security develops policies and procedures to ensure the classification and control of information is effective and...

  20. Data Quality Assessment and Control for the ARM Climate Research Facility

    SciTech Connect (OSTI)

    Peppler, R

    2012-06-26T23:59:59.000Z

    The mission of the Atmospheric Radiation Measurement (ARM) Climate Research Facility is to provide observations of the earth climate system to the climate research community for the purpose of improving the understanding and representation, in climate and earth system models, of clouds and aerosols as well as their coupling with the Earth's surface. In order for ARM measurements to be useful toward this goal, it is important that the measurements are of a known and reasonable quality. The ARM data quality program includes several components designed to identify quality issues in near-real-time, track problems to solutions, assess more subtle long-term issues, and communicate problems to the user community.

  1. JIM2L MS Program in Mechatronics: Quality Control and Program Assessment

    E-Print Network [OSTI]

    of these are supported with the needed mathematical, modeling, simulation, and computer- programming principles applied scientific research in the field of mechatronic engineering. To contribute actively. Introduction 2. Program Mission and Goals 3. Students Learning Outcome 4. Assessment Method 5. Conclusion #12

  2. Improving Quality-of-Control using Flexible Timing Constraints: Metric and Scheduling Issues

    E-Print Network [OSTI]

    Ramamritham, Krithi

    Martí and Josep M. Fuertes Automatic Control Dept. Univ. Politècnica de Catalunya Barcelona, Spain krithi@cse.iitb.ac.in Abstract Closed-loop control systems are dynamic systems subject to perturbations that transient perturbations cause in the controlled system response. The smaller and shorter the deviation

  3. Influence of Biomechanical Constraints on Endpoint Control, Interlimb Coordination and Learning

    E-Print Network [OSTI]

    Rodriguez, Tiffany M.

    2010-07-14T23:59:59.000Z

    on intralimb coordination, interlimb coordination, and learning. Experiment 1 sought to determine if principles of the Leading Joint Hypothesis, when applied to a multijoint bimanual coordination task, could provide insight into the contribution of intralimb...

  4. Degradation of the E. coli small heat-shock proteins by the AAA+ protease lon : significance to protein quality-control

    E-Print Network [OSTI]

    Bissonnette, Sarah Ayano

    2010-01-01T23:59:59.000Z

    The refolding and elimination of damaged and aggregated proteins requires the concerted effort of several branches of the protein quality-control network. This network includes refolding chaperones, disaggregases, holdases ...

  5. American Society for Quality Design of Experiments for Comparing Treatments with a Control: Tables of Optimal

    E-Print Network [OSTI]

    Bustamante, Fabián E.

    : Technometrics, Vol. 25, No. 1 (Feb., 1983), pp. 87-95 Published by: American Statistical Association of scholarship. For more information about JSTOR, please contact support@jstor.org. American Statistical Association and American Society for Quality are collaborating with JSTOR to digitize, preserve and extend

  6. Combining Reinforcement Learning with a Local Control Algorithm Jette Randlv RANDLOV@NBI.DK

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    , Schmitt and Vincent (1994). A closed- loop controller is designed using conventional means that creates as follows. A closed-loop controller, which we will call the local controller, is designed using standard requirements are that a suitable local controller can be designed such that its controllable set has a non

  7. Master Document located at: W:\\fas\\fas-Quality Management System\\Quality Management System\\01 Quality System\\02 WORK INSTRUCTIONS\\3700-3899 Facilities Coordination\\3729 Lecturn (Creme) Operation with JED Controllers.doc

    E-Print Network [OSTI]

    Master Document located at: W:\\fas\\fas-Quality Management System\\Quality Management System\\01 the following instructions. #12;Master Document located at: W:\\fas\\fas-Quality Management System\\Quality Management System\\01 Quality System\\02 WORK INSTRUCTIONS\\3700-3899 Facilities Coordination\\3729 Lecturn

  8. Variance analysis in the quality control of ready mixed concrete in a major structure

    E-Print Network [OSTI]

    Valle Aguilar, Jorge Luis

    1984-01-01T23:59:59.000Z

    the same quality of concrete. 5. The use of different types of lightweight aggregates with and without fly ash did not seem to affect variability in the 3000 psi (20. 7 Npa) strength level. 6. Lower compressive strength results observed during... Plot of 28-day strengths versus 7-day strengths The 7500 Psi Strength Level General 40 42 Compressive strength versus water-cement ratio Compressive strength versus slump Variance analysis for the 7500 psi strength variations . 42 43 46 Oua1...

  9. A water quality characterization of a tidally influenced flood control canal of Galveston Bay, Texas

    E-Print Network [OSTI]

    Polasek, Jeffrey Steven

    1992-01-01T23:59:59.000Z

    H), specific conductance, sulfide, total organic carbon (TOC), and turbidity samples were collected at seven stations in HBDC and from the effluent of two municipal wastewater treatment plants (MWTP) discharging into HBDC in order to detect significant... to MWTP outfall. Specific conductance patterns mirrored salinity trends. TOC levels showed a steady bayward decrease. Turbidity levels were consistently highest in bottom waters. No trends were apparent for COD, pH, and sulfide. HBDC water quality...

  10. The Guy at the Controls: Labor Quality and Power Plant Efficiency

    E-Print Network [OSTI]

    Bushnell, Jim B; Wolfram, Catherine D

    2007-01-01T23:59:59.000Z

    compiles data on power plant operations and characteristicscharacteristics (e.g. power plant unit, state, grid controlBaseCase contains hourly power-plant unit-level information

  11. Power Quality/Harmonic Detection: Harmonic Control in Electric Power Systems for the Telecommunications Industry

    E-Print Network [OSTI]

    Felkner, L. J.; Waggoner, R. M.

    The control of harmonics in power systems continues to be a major concern in the telecommunications industry. AC/DC telecommunication conversion equipment has rarely been thought of as playing a major role in the harmonic interaction problem. Yet...

  12. Lesson Learned by Savannah River Site Activity-level Work Planning and Control

    Broader source: Energy.gov [DOE]

    Slide Presentation by Bonnie Barnes, Savannah River Remediation. Work Planning and Control at Savannah River Remediation.

  13. Active Learning for Robot Control Philipp Robbel, MIT Media Lab, USA (robbel@mit.edu)

    E-Print Network [OSTI]

    Toussaint, Marc

    ]. There, our work focused on learning the inverse dynamics of a robot arm using an efficient exploration in the task space) and to simpler exploration schemes such as random flailing of the robot arm-DOF robot arm along an arbitrary trajectory with a bell-shaped velocity profile. The work presented

  14. Quality control and the substantive influence of environmental impact assessment in Finland

    SciTech Connect (OSTI)

    Poeloenen, Ismo [University of Joensuu, Department of Law, P.O. Box 111, 80101 Joensuu (Finland)]. E-mail: Ismo.Polonen@joensuu.fi

    2006-07-15T23:59:59.000Z

    This paper focuses on the challenges concerning the quality assurance of environmental impact statements (EIS) in Finland and the European Union. Moreover, the linkage between environmental impact assessment and decision-making is examined from a legal point of view. In addition, the paper includes some comparative remarks concerning the content requirements of examination of alternatives. The study reveals that a significant problem of the Finnish EIA system is the lack of efficient access to a judicial procedure to challenge the quality and completeness of an EIS. Another pitfall is the fact that in certain permit procedures, environmental consideration is so limited that only a minor part of the EIA can be taken into account. In its current state, EIA legislation in the EU and in Finland does not guarantee that the assessment results filter into decision-making. From the national point of view, the shortcomings can be addressed by amending current legislation concerning licensing procedures so that authorities have the competence and the duty to take environmental matters widely into account in the permit consideration. At the European level, a legislative alternative could be to strengthen the substantive element of the EIA Directive (85/337/EEC). This would increase the weight of EIA related arguments in the national appellate procedures and contribute, in some cases significantly, to the substantive influence of EIA in decision-making.

  15. Air Resources: Prevention and Control of Air Contamination and Air Pollution, Air Quality Classifications and Standards, and Air Quality Area Classifications (New York)

    Broader source: Energy.gov [DOE]

    These regulations establish emissions limits and permitting and operational requirements for facilities that may contribute to air emissions. General air quality standards and standards for...

  16. Lesson Learned by Environmental Management Complex-wide Activity-level Work Planning and Control

    Broader source: Energy.gov [DOE]

    Slide Presentation by Roger Claycomb, Work Control Program Manager, DOE Idaho Operations Office. Office of Environmental Management Work Planning and Control Oversight. Contractor Good Practices and DOE EM Good Practices.

  17. Reinforcement Learning for Active Length Control and Hysteresis Characterization of Shape Memory Alloys

    E-Print Network [OSTI]

    Kirkpatrick, Kenton C.

    2010-01-16T23:59:59.000Z

    Shape Memory Alloy actuators can be used for morphing, or shape change, by controlling their temperature, which is effectively done by applying a voltage difference across their length. Control of these actuators requires determination...

  18. Exploratory studies of human sensorimotor learning with system identification and stochastic optimal control

    E-Print Network [OSTI]

    Simpkins, Charles Alexander

    2009-01-01T23:59:59.000Z

    dependent action (i.e. if a robot arm is being controlled,The typical industrial robot arm can be controlled to movethe desired trajectory of the robot arm. 4. From the desired

  19. Flagging and docking: dual roles for N-glycans in protein quality control

    E-Print Network [OSTI]

    Hebert, Daniel N.

    polypeptides. This processing determines whether the polypeptide will be retained in the ER, transported along-glycan modifications retain immature or aberrant cargo proteins in the folding envi- ronment, control the incorporation of supramolecular complexes. These complexes play crucial roles in inspect- ing the content of the ER lumen to aid

  20. Reinforcement Learning, Neural Networks and PI Control Applied to a Heating Coil

    E-Print Network [OSTI]

    Kretchmar, R. Matthew

    situations, the degree of uncertainty in the model of the system being controlled limits the utility networks. Section 3 describes how a simple inverse model can be used to train a neural-network controller performance. 2 Heating Coil Model and PI Control Underwood and Crawford [9] developed a model of an existing

  1. Synthesis of Reinforcement Learning, Neural Networks, and PI Control Applied to a Simulated Heating Coil

    E-Print Network [OSTI]

    Anderson, Charles W.

    in sub-optimal control performance. In many situations, the degree of uncertainty in the model the control using neural networks. Section 3 describes how a simple inverse model can be used to train it results in improved performance. 2 Heating Coil Model and PI Control Underwoodand Crawford10 developeda

  2. Managerial information behaviour: Relationships among Total Quality Management orientation, information use environments, and managerial roles

    E-Print Network [OSTI]

    Simard, C; Rice, Ronald E

    2006-01-01T23:59:59.000Z

    TQM orientations: total quality control (TQC) and totalIts Implications for Total Quality Control and Total QualityWilenski, 1967). Total Quality Control, organizational

  3. How to Successfully Renovate a Controls System? - Lessons Learned from the Renovation of the CERN Injectors’ Controls Software

    E-Print Network [OSTI]

    Kruk, G; Kulikova, O; Lezhebokov, V; Pace, M; Pera Mira, P; Roux, E; Wozniak, J Pawel

    2014-01-01T23:59:59.000Z

    Renovation of the control system of the CERN LHC injectors was initiated in 2007 in the scope of the Injector Controls Architecture (InCA) project. One of its main objectives was to homogenize the controls software across CERN accelerators and reuse as much as possible the existing modern sub-systems, such as the settings management used for the LHC. The project team created a platform that would permit coexistence and intercommunication between old and new components via a dedicated gateway, allowing a progressive replacement of the former. Dealing with a heterogeneous environment, with many diverse and interconnected modules, implemented using different technologies and programming languages, the team had to introduce all the modifications in the smoothest possible way, without causing machine downtime. After a brief description of the system architecture, the paper discusses the technical and non-technical sides of the renovation process such as validation and deployment methodology, operational applicatio...

  4. THE INTEGRATION OF ENGINEERED AND INSTITUTIONAL CONTROLS: A CASE STUDY APPROACH WITH LESSONS LEARNED FROM PREVIOUSLY CLOSED SITES

    SciTech Connect (OSTI)

    Kevin M. Kostelnik; James H. Clarke; Jerry L. Harbour

    2005-02-01T23:59:59.000Z

    Environmental remediation efforts that are underway at hundreds of contaminated sites in the United States will not be able to remediate large portions of those sites to conditions that would permit unrestricted access. Rather, large volumes of waste materials, contaminated soils and cleanup residuals will have to be isolated either in place or in new, often on-site, disposal cells with long term monitoring, maintenance and institutional control needs. The challenge continues to be to provide engineering systems and controls that can ensure the protection of public health and the environment over very long time horizons (hundreds to perhaps thousands of years) with minimal intervention. Effective long term management of legacy hazardous and nuclear waste requires an integrated approach that addresses both the engineered containment and control system itself and the institutional controls and other responsibilities that are needed. Decisions concerning system design, monitoring and maintenance, and the institutional controls that will be employed are best done through a "risk-nformed, performance-based" approach. Such an approach should incorporate an analysis of potential "failure" modes and consequences for all important system features, together with lessons learned from experience with systems already in place. The authors will present the preliminary results of a case study approach that included several sites where contamination isolation systems including institutional controls have been implemented. The results are being used together with failure trees and logic diagrams that have been developed for both the engineered barriers and the institutional controls. The use of these analytical tools to evaluate the potential for different levels of failure and associated consequences will be discussed. Of special interest is the robustness of different approaches to providing long-term protection through redundancy and defense in depth.

  5. Hvac systems as a tool in controlling indoor air quality: A literature review. Final report, May-August 1993

    SciTech Connect (OSTI)

    Samfield, M.M.

    1995-12-01T23:59:59.000Z

    The report gives results of a review of literature on the use of heating, ventilation, and air-conditioning (HVAC) systems to control indoor air quality (IAQ). One conclusion of the review is that HVAC systems very often contribute to the indoor air pollution because of (1) poor system maintenance, (2) overcrowding or the introduction of new pollution-generating sources with buildings, and (3) the location of outdoor air near ambient pollution sources. Another conclusion is that failure to trade off between energy conservation and employee productivity may result in increased IAQ problems. The report contents are based on literature survey covering the years 1988 through 1993, involving 60 references, 32 of which are cited in the report.

  6. Quality-Controlled Upper-Air Sounding Dataset for DYNAMO/CINDY/AMIE: Development and Corrections

    SciTech Connect (OSTI)

    Ciesielski, Paul; Yu, Hungjui; Johnson, Richard; Yoneyama, Kunio; Katsumata, Masaki; Long, Charles N.; Wang, Junhong; Loehrer, Scot; Young, Kate; Williams, S.; Brown, William; Braun, John; Van Hove, Terese

    2014-04-01T23:59:59.000Z

    The upper-air sounding network for DYNAMO (Dynamics of the Madden-Julian Oscillation or MJO) has provided an unprecedented set of observations for studying the MJO over the Indian Ocean (IO) where coupling of this oscillation with deep convection first occurs. With 72 sounding sites and dropsonde data from 13 aircraft mission, the sonde network covers the tropics from Eastern African to the West Pacific. In total nearly 26,000 sondes were collected from this network during the experiment’s 6-month extended observing period (from October 2011 to March 2012). Slightly more than half of the sondes, collected from 33 sites, are at high vertical resolution. Rigorous post-field phase processing of the sonde data included several levels of quality checks and a variety of corrections which address a number of issues (e.g., daytime dry bias, baseline surface data errors, ship deck-heating effects, artificial dry spikes in slow ascent sondes). Because of the importance of an accurate description of the moisture field in meeting the scientific goals of the experiments, particular attention is given to humidity correction and its validation. The humidity corrections, though small relative to some previous field campaigns, produced high fidelity moisture analyses in which sonde precipitable water compared well with independent estimates. An assessment of model operational analyses moisture using corrected sonde data shows an overall good agreement with the exception at upper-levels where model moisture and clouds are more abundant than the sounding data would indicate.

  7. Surface photovoltage method for the quality control of silicon epitaxial layers on sapphire

    SciTech Connect (OSTI)

    Yaremchuk, A. F.; Starkov, A. V.; Zaikin, A. V., E-mail: lynch0000@gmail.com [National Rsearch University MIET (Russian Federation); Alekseev, A. V. [ZAO “Telekom-STV” (Russian Federation); Sokolov, E. M. [ZAO “Epiel” (Russian Federation)

    2014-12-15T23:59:59.000Z

    The surface photovoltage method is used to study “silicon-on-sapphire” epitaxial layers with a thickness of 0.3–0.6 ?m, which are used to fabricate p-channel MOS (metal—oxide-semiconductor) transistors with improved radiation hardness. It is shown that the manner in which the photoconductivity of the epitaxial layer decays after the end of a light pulse generated by a light-emitting diode (wavelength ?400 nm) strongly depends on the density of structural defects in the bulk of the structure. This enables control over how a “silicon-on-sapphire” structure is formed to provide the manufacturing of MOS structures with optimal operating characteristics.

  8. Detector Construction Management and Quality Control: Establishing and Using a CRISTAL System

    E-Print Network [OSTI]

    J-M. Le Goff; G. Chevenier; A. Bazan; T. Le Flour; S. Lieunard; S. Murray; J-P. Vialle; N. Baker; F. Estrella; Z. Kovacs; R. McClatchey; G. Organtini; S. Bityukov

    1998-06-08T23:59:59.000Z

    The CRISTAL (Cooperating Repositories and an Information System for Tracking Assembly Lifecycles) project is delivering a software system to facilitate the management of the engineering data collected at each stage of production of CMS. CRISTAL captures all the physical characteristics of CMS components as each sub-detector is tested and assembled. These data are retained for later use in areas such as detector slow control, calibration and maintenance. CRISTAL must, therefore, support different views onto its data dependent on the role of the user. These data viewpoints are investigated in this paper. In the recent past two CMS Notes have been written about CRISTAL. The first note, CMS 1996/003, detailed the requirements for CRISTAL, its relationship to other CMS software, its objectives and reviewed the technology on which it would be based. CMS 1997/104 explained some important design concepts on which CRISTAL is and showed how CRISTAL integrated the domains of product data man- agement and workflow management. This note explains, through the use of diagrams, how CRISTAL can be established for detector production and used as the information source for analyses, such as calibration and slow controls, carried out by physicists. The reader should consult the earlier CMS Notes and conference papers for technical detail on CRISTAL - this note concentrates on issues surrounding the practical use of the CRISTAL software.

  9. Scanning ARM Cloud Radars Part II: Data Quality Control and Processing

    SciTech Connect (OSTI)

    Kollias, Pavlos; Jo, Ieng; Borque, Paloma; Tatarevic, Aleksandra; Lamer, Katia; Bharadwaj, Nitin; Widener, Kevin B.; Johnson, Karen; Clothiaux, Eugene E.

    2014-03-01T23:59:59.000Z

    The Scanning ARM Cloud Radars (SACR’s) are the primary instruments for documenting the four-dimensional structure and evolution of clouds within a 20-30 km radius from the ARM fixed and mobile sites. Here, the post-processing of the calibrated SACR measurements is discussed. First, a feature mask algorithm that objectively determines the presence of significant radar returns is described. The feature mask algorithm is based on the statistical properties of radar receiver noise. It accounts for atmospheric emission and is applicable even for SACR profiles with few or no signal-free range gates. Using the nearest-in-time atmospheric sounding, the SACR radar reflectivities are corrected for gaseous attenuation (water vapor and oxygen) using a line-by-line absorption model. Despite having a high pulse repetition frequency, the SACR has a narrow Nyquist velocity limit and thus Doppler velocity folding is commonly observed. An unfolding algorithm that makes use of a first guess for the true Doppler velocity using horizontal wind measurements from the nearest sounding is described. The retrieval of the horizontal wind profile from the Hemispherical Sky – Range Height Indicator SACR scan observations and/or nearest sounding is described. The retrieved horizontal wind profile can be used to adaptively configure SACR scan strategies that depend on wind direction. Several remaining challenges are discussed, including the removal of insect and second-trip echoes. The described algorithms significantly enhance SACR data quality and constitute an important step towards the utilization of SACR measurements for cloud research.

  10. Lessons Learned by Environmental Management Complex-wide Activity-level Work Planning and Control

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM Flash2011-12Approvedof6, 1945:Laura SmithLearningLeon BakerJune4

  11. The Effects of Quality Control on Decreasing Error Propagation in the LandScan USA Population Distribution Model: A Case Study of Philadelphia County

    SciTech Connect (OSTI)

    Patterson, Lauren [University of North Carolina, Chapel Hill; Urban, Marie L [ORNL; Myers, Aaron T [ORNL; Bhaduri, Budhendra L [ORNL; Bright, Eddie A [ORNL; Coleman, Phil R [ORNL

    2009-01-01T23:59:59.000Z

    Landscan USA is a high resolution dasymetric model incorporating multiple ancillary variables to distribute populations. LandScan USA is a valuable tool in determining the population at risk during emergency response situations. However, a critical evaluation is necessary to produce user confidence regarding model accuracy through the verification and validation of model outputs. Unfortunately, dynamic models, such as population distribution, are often not validated due to the difficulty of having multiple input datasets and lack of validated data. A validated dataset allows analysis of model accuracy, as well as quantifying the benefits and costs of improving input datasets compared to find a balance for producing the best model. This paper examines inaccuracies present within the input variables of two national school datasets incorporated in the model. Schools were chosen since a validated school dataset exists for Philadelphia County, Pennsylvania. Quality control efforts utilized throughout the LandScan USA process are quantified to determine the degree of quality control necessary to have a statistically significant effect on model output. Typical LandScan USA quality control resulted in 43% of school enrollment values changed, compared to 89% for the validated dataset. Normal quality control methods resulted in 36% of schools being spatially relocated compared to 87% for the validated dataset. However, the costs of increasing quality control from normal to the validated dataset equated to a 600% increase in manual labor time for statistically insignificant improvements in LandScan USA daytime. This study enabled validation verification of not only the quality control process for LandScan USA, but also provides confidence in model output and use for policy issues, planning and emergency situations.

  12. American Institute of Aeronautics and Astronautics Reinforcement Learning for Active Length Control of

    E-Print Network [OSTI]

    Valasek, John

    Control of Shape Memory Alloys Kenton Kirkpatrick* and John Valasek Texas A&M University, College Station, Texas 77843-3141 The ability to actively control the shape of aerospace structures has initiated research regarding the use of Shape Memory Alloy actuators. These actuators can be used for morphing

  13. Arts-Infused Learning in Middle Level Classrooms

    E-Print Network [OSTI]

    Lorimer, Maureen R.

    2011-01-01T23:59:59.000Z

    rich portrait of the types of learning and learning outcomesuncovered the types of arts-infused learning, along with thetypes of activities) and quality of arts-infused learning (

  14. Development and evaluation of an arterial adaptive traffic signal control system using reinforcement learning

    E-Print Network [OSTI]

    Xie, Yuanchang

    2009-05-15T23:59:59.000Z

    control. Two different implementation schemes are considered. The first scheme uses a fixed phase sequence and variable cycle length, while the second one optimizes phase sequence in real time and is not constrained to the concept of cycle. Both schemes...

  15. Library & Learning Spaces Policy Page 1 of 4 Version: 2.3 This document is issued by the Library. The only definitive version is that held and controlled on the Library website. It is not

    E-Print Network [OSTI]

    Romano, Daniela

    Library & Learning Spaces Policy Page 1 of 4 Version: 2.3 This document is issued by the Library. The only definitive version is that held and controlled on the Library website. It is not under document control when copied or printed Library Policy THE LIBRARY www.salford.ac.uk/library Library & Learning

  16. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART A: SYSTEMS AND HUMANS, VOL. 35, NO. 1, JANUARY 2005 121 Control and Learning of Ambience by

    E-Print Network [OSTI]

    Rutishauser, Ueli

    IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART A: SYSTEMS AND HUMANS, VOL. 35, NO. 1, JANUARY 2005 121 Control and Learning of Ambience by an Intelligent Building Ueli Rutishauser, Student Member, IEEE, Josef Joller, Member, IEEE, and Rodney Douglas Abstract--Modern approaches

  17. 846 IEEE TRANSACTIONS ON NEURAL NETWORKS ON LEARNING SYSTEMS, VOL. 23, NO. 5, MAY 2012 [9] D. Cheng and H. Qi, "Controllability and observability of Boolean

    E-Print Network [OSTI]

    Vermont, University of

    . 3, pp. 512­521, Mar. 2009. [31] D. Cheng, H. Qi, and Z. Li, Analysis and Control of Boolean Networks: A Semi-Tensor Product Approach. London, U.K.: Springer-Verlag, 2011. [32] D. Cheng, H. Qi, and Z. Li846 IEEE TRANSACTIONS ON NEURAL NETWORKS ON LEARNING SYSTEMS, VOL. 23, NO. 5, MAY 2012 [9] D. Cheng

  18. Pilot Implementation of a Field Study Design to Evaluate the Impact of Source Control Measures on Indoor Air Quality in High Performance Homes

    SciTech Connect (OSTI)

    Widder, Sarah H.; Chamness, Michele A.; Petersen, Joseph M.; Singer, Brett C.; Maddalena, Randy L.; Destaillats, Hugo

    2014-10-20T23:59:59.000Z

    To improve the indoor air quality in new, high performance homes, a variety of standards and rating programs have been introduced to identify building materials that are designed to have lower emission rates of key contaminants of concern and a number of building materials are being introduced that are certified to these standards. For example, the U.S. Department of Energy (DOE) Zero Energy Ready Home program requires certification under the U.S. Environmental Protection Agency (EPA) Indoor airPLUS (IaP) label, which requires the use of PS1 or PS2 certified plywood and OSB; low-formaldehyde emitting wood products; low- or no-VOC paints and coatings as certified by Green Seal Standard GS-11, GreenGuard, SCS Indoor Advantage Gold Standard, MPI Green Performance Standard, or another third party rating program; and Green Label-certified carpet and carpet cushions. However, little is known regarding the efficacy of the IAP requirements in measurably reducing contaminant exposures in homes. The goal of this project is to develop a robust experimental approach and collect preliminary data to support the evaluation of indoor air quality (IAQ) measures linked to IAP-approved low-emitting materials and finishes in new residential homes. To this end, the research team of Pacific Northwest National Laboratory (PNNL) and Lawrence Berkeley National Laboratory (LBNL) developed a detailed experimental plan to measure IAQ constituents and other parameters, over time, in new homes constructed with materials compliant with IAP’s low-emitting material and ventilation requirements (i.e., section 6.1, 6.2, 6.3, and 7.2) and similar homes constructed to the state building code with conventional materials. The IAQ in IAP and conventional homes of similar age, location, and construction style is quantified as the differences in the speciated VOC and aldehyde concentrations, normalized to dilution rates. The experimental plan consists of methods to evaluate the difference between low-emitting and “conventional” materials as installed in newly constructed residential homes using both (1) highly controlled, short-term active samples to precisely characterize the building-related chemical emissions and building contents and (2) a week-long passive sample designed to capture the impact of occupant behavior and related activities on measured IAQ contaminant levels indoors. The combination of detailed short-term measurements with the home under controlled/consistent conditions during pre- and post-occupancy and the week-long passive sampling data provide the opportunity to begin to separate the different emission sources and help isolate and quantify variability in the monitored homes. Between April and August 2014, the research team performed pre-occupancy and post-occupancy sampling in one conventional home and two homes built with low-emitting materials that were generally consistent with EPA’s Indoor airPLUS guidelines. However, for a number of reasons, the full experimental plan was not implemented. The project was intended to continue for up to three years to asses long-term changes in IAQ but the project was limited to one calendar year. As a result, several of the primary research questions related to seasonal impacts and the long-term trends in IAQ could not be addressed. In addition, there were several unexpected issues related to recruiting, availability of home types, and difficulty coordinating with builders/realtors/homeowners. Several field monitoring issues also came up that provide “lessons learned” that led to improvements to the original monitoring plan. The project produced a good experimental plan that is expected to be be useful for future efforts collecting data to support answering these same or similar research questions.

  19. Online Human Training of a Myoelectric Prosthesis Controller via Actor-Critic Reinforcement Learning

    E-Print Network [OSTI]

    Sutton, Richard S.

    Online Human Training of a Myoelectric Prosthesis Controller via Actor-Critic Reinforcement of multi-function myoelectric devices. Using a simulated upper-arm robotic prosthesis, we demonstrate how-specific motions based only on a one-dimensional (scalar) feedback signal provided by the user of the prosthesis. I

  20. Statistical-Learning Control of Multiple-Delay Systems with Applications to ATM Networks

    E-Print Network [OSTI]

    Author: C. T. Abdallah is with the Department of EECE, Univer- sity of New Mexico, Albuquerque, NM 87131 is with the Department of Mathematics & Statistics, University of New Mexico, Albuquerque, NM 87131, USA. E-mail: vlad are uncertain, one is faced with the challenging problem of trying to control a large, interconnected network

  1. Statistical-Learning Control of Multiple-Delay Systems with Applications to ATM Networks

    E-Print Network [OSTI]

    : C. T. Abdallah is with the Department of EECE, Univer- sity of New Mexico, Albuquerque, NM 87131 is with the Department of Mathematics & Statistics, University of New Mexico, Albuquerque, NM 87131, USA. E-mail: vlad are uncertain, one is faced with the challenging problem of trying to control a large, interconnected network

  2. Learning temporal structure for task based control Kingsley Sage a,*, A. Jonathan Howell a

    E-Print Network [OSTI]

    Trahanias, Panos

    's internal models is shown to help the tracker deal with mid-term occlusion. We also show that VLMMs can Markov models (VLMMs) to allow for modelling of continuous input data and show that the generative to support expectation in task-based control using these behavioural models. The hand tracker forms a part

  3. REPETITIVE LEARNING OF BACKSTEPPING CONTROLLED NONLINEAR ELECTROHYDRAULIC MATERIAL TESTING SYSTEM1

    E-Print Network [OSTI]

    Tsao, Tsu-Chin

    stiffness, the testing profile and ranges. Typical modes of material testing control include the load (force and the lower grip. A force, called load, is then applied by an actuator. Sensors are used to measure the force where the specified profile is dynamic, it is desirable to closely track the desired profile to fulfill

  4. Agriculture and Environmental Quality

    E-Print Network [OSTI]

    Ma, Lena

    ALS 3133 Agriculture and Environmental Quality 3 credits Spring 2014 Instructor Susan Curry scurry Website is through E-Learning: http://lss.at.ufl.edu Overview: Analysis of the effects of agriculture on environmental quality with emphasis on agricultural wastes and practices, the potential for using agricultural

  5. National FCEV Learning Demonstration: All Composite Data Products...

    Broader source: Energy.gov (indexed) [DOE]

    Vehicle (FCEV) Learning Demonstration. 54021.pdf More Documents & Publications Controlled Hydrogen Fleet & Infrastructure Analysis National Hydrogen Learning Demonstration Status...

  6. Exploring the Neural Architecture of Cultural Imitative Learning

    E-Print Network [OSTI]

    Losin, Elizabeth Reynolds

    2012-01-01T23:59:59.000Z

    These quality control measures resulted in a total of 19These quality control measures resulted in a total of 70

  7. Lesson Learned by CHPRC at Hanford Activity-level Work Planning and Control Using EFCOG Work Planning and Control Guideline Document

    Broader source: Energy.gov [DOE]

    Slide Presentation by Jim Hoffman, CH2M HILL Plateau Remediation Company. Major Process Revision of WP&C – Lessons Learned.

  8. Changes to TSR control set due to changes in mission and lessons learned

    SciTech Connect (OSTI)

    Foppe, T.L. [Foppe and Associates, Golden, CO (United States); Olinger, S.J. [Dept. of Energy, Golden, CO (United States). Rocky Flats Environmental Technology Site

    1999-06-01T23:59:59.000Z

    Previous Technical Safety Requirements (TSRs) established to support plutonium production activities at the Rocky Flats Environmental Technology Site (RFETS) were heavily focused on engineered safety features that would mitigate potential accidents. With the change in mission in 1992 to Site closure, and considering antiquated equipment nearing the end of their useful life, a change in philosophy was adopted to emphasize preventive controls that are mostly administrative. The new Administrative Controls (ACs) developed in the last few years include discrete attributes of safety management programs (SMPs) that are specifically credited to prevent or mitigate an accident, and include requirements on handling individual deviations, programmatic deficiencies, and TSR AC violations. The primary benefit of these changes is fewer requirements on equipment that allow the contractor more flexibility to maintain the defense-in-depth safety systems in a more cost-effective manner. A disadvantage of these new ACs is that implementation has become cumbersome and difficult to manage, e.g., resulted in an increased burden of demonstrating compliance and required an additional infrastructure to track deviations and deficiencies. In order to improve the efficiency of the authorization basis (AB) process to support accelerated Site closure according to the 2006 Plan, the Site has recently modified the ABs to better focus on the programmatic elements that were credited in the accident analyses, and to rely on the Integrated Safety Management System to implement SMPs via one general TSR AC requirement. At the request of DOE/RFFO, a self-assessment of the Rocky Flats AB program was performed in November 1998 by Victor Stello, DOE Headquarters, along with representatives from other DOE sites and Defense Programs. Results of this self-assessment confirmed that the proposed AC changes would be beneficial and provided specific recommendations.

  9. Water Quality (Louisiana)

    Broader source: Energy.gov [DOE]

    These regulations establish requirements and procedures for permitting, enforcement, monitoring, and surveillance, and spill control activities of the Department of Environmental Quality. Without...

  10. Society for Quality Fellow

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    based on their pre-eminence in technology, theory, education, or the application or management of quality control. ASQ Fellows represent diverse industries on a global scale....

  11. Influence of Contextual Elements on Comprehensive Evaluations of Multi-Level Interventions: Lessons Learned and Promising Practices from Cases in Tobacco Control and Childhood Obesity

    E-Print Network [OSTI]

    Huddleston, Jenica

    2010-01-01T23:59:59.000Z

    Level Interventions: Lessons Learned and Promising PracticesLevel Interventions: Lessons Learned and Promising PracticesLevel Interventions: Lessons Learned and Promising Practices

  12. Probe into Gaseous Pollution and Assessment of Air Quality Benefit under Sector Dependent Emission Control Strategies over Megacities in Yangtze River Delta, China

    SciTech Connect (OSTI)

    Dong, Xinyi; Gao, Yang; Fu, Joshua S.; Li, Juan; Huang, Kan; Zhuang, G.; Zhou, Ying

    2013-11-01T23:59:59.000Z

    On February 29th 2012, China published its new National Ambient Air Quality Standard (CH-NAAQS) aiming at revising the standards and measurements for both gaseous pollutants including ozone (O3), nitrogen dioxide (NO2), and sulfur dioxide (SO2), and also particle pollutants including PM10 and PM2.5. In order to understand the air pollution status regarding this new standard, the integrated MM5/CMAQ modeling system was applied over Yangtze River Delta (YRD) within this study to examine the criteria gaseous pollutants listed in the new CH-NAAQS. Sensitivity simulations were also conducted to assess the responses of gaseous pollutants under 8 different sector-dependent emission reduction scenarios in order to evaluate the potential control strategies. 2006 was selected as the simulation year in order to review the air quality condition at the beginning of China’s 11th Five-Year-Plan (FYP, from 2006 to 2010), and also compared with air quality status in 2010 as the end of 11th FYP to probe into the effectiveness of the national emission control efforts. Base case simulation showed distinct seasonal variation for gaseous pollutants: SO2, and NO2 were found to have higher surface concentrations in winter while O3 was found to have higher concentrations in spring and summer than other seasons. According to the analyses focused on 3 megacities within YRD, Shanghai, Nanjing, and Hangzhou, we found different air quality conditions among the cities: NO2 was the primary pollutant that having the largest number of days exceeding the CH-NAAQS daily standard (80 ?g/m3) in Shanghai (59 days) and Nanjing (27 days); SO2 was the primary pollutant with maximum number of days exceeding daily air quality standard (150 ?g/m3) in Hangzhou (28 days), while O3 exceeding the daily maximum 8-hour standard (160 ?g/m3) for relatively fewer days in all the three cities (9 days in Shanghai, 14 days in Nanjing, and 11 days in Hangzhou). Simulation results from predefined potential applicable emission control scenarios suggested significant air quality improvements from emission reduction: 90% of SO2 emission removed from power plant in YRD would be able to reduce more than 85% of SO2 pollution, 85% NOx emission reduction from power plant would reduce more than 60% of NO2 pollution, in terms of reducing the number of days exceeding daily air quality standard. NOx emission reduction from transportation and industry were also found to effectively reduce NO2 pollution but less efficient than emission control from power plants. We also found that multi-pollutants emission control including both NOx and VOC would be a better strategy than independent NOx control over YRD which is China’s 12th Five-Year-Plan (from 2011 to 2015), because O3 pollution would be increased as a side effect of NOx control and counteract NO2 pollution reduction benefit.

  13. A multi-level system quality improvement intervention to reduce racial disparities in hypertension care and control: study protocol

    E-Print Network [OSTI]

    2013-01-01T23:59:59.000Z

    treatment, and control of hypertension, 1988–2008. JAMAtreatment and control of hypertension in the United States,of High Blood Pressure. Hypertension 2003, 42:1206–1252. 6.

  14. Total learning : education beyond the classroom

    E-Print Network [OSTI]

    Im, Soo O., 1972-

    2002-01-01T23:59:59.000Z

    What is a quality learning space? This thesis is a study of a prototype for secondary school to provide a stimulating learning environment and a nurturing growing space in an urban site through exploration of different ...

  15. Microbiological, Geochemical and Hydrologic Processes Controlling Uranium Mobility: An Integrated Field-Scale Subsurface Research Challenge Site at Rifle, Colorado, Quality Assurance Project Plan

    SciTech Connect (OSTI)

    Fix, N. J.

    2008-01-07T23:59:59.000Z

    The U.S. Department of Energy (DOE) is cleaning up and/or monitoring large, dilute plumes contaminated by metals, such as uranium and chromium, whose mobility and solubility change with redox status. Field-scale experiments with acetate as the electron donor have stimulated metal-reducing bacteria to effectively remove uranium [U(VI)] from groundwater at the Uranium Mill Tailings Site in Rifle, Colorado. The Pacific Northwest National Laboratory and a multidisciplinary team of national laboratory and academic collaborators has embarked on a research proposed for the Rifle site, the object of which is to gain a comprehensive and mechanistic understanding of the microbial factors and associated geochemistry controlling uranium mobility so that DOE can confidently remediate uranium plumes as well as support stewardship of uranium-contaminated sites. This Quality Assurance Project Plan provides the quality assurance requirements and processes that will be followed by the Rifle Integrated Field-Scale Subsurface Research Challenge Project.

  16. Irrigation Water Quality

    E-Print Network [OSTI]

    McFarland, Mark L.; Lemon, Robert G.; Stichler, Charles

    2002-04-11T23:59:59.000Z

    Irrigation water quality is determined by the total amounts of salts and the types of salts the water contains. In this publication you'll learn why well water can be salty, what problems salty water can cause, what tests should be done...

  17. A quality management approach to civil engineering

    E-Print Network [OSTI]

    Baber, Thomas James

    1999-01-01T23:59:59.000Z

    engineering 4. Hydrologic modeling Qttality Mttnttgement Between the 1920s and 1960s several men emerged as the leaders of the quality management movement: W. Fdwards Deming, Joseph M. Juran, Armand V. Feigenbaum, and Kaoru Ishikawa. This list..." for quality improvement and his use of statistical techniques for process control (Demi ng, 1986). Joseph M. Juran is well known for his Quality Trilogy: Quality Planning, Quality Control, and Quality Improvement (, luran, 1986). Juran saw quality as two...

  18. Environmental control technology survey of selected US strip mining sites. Volume 2B. Alabama. Water quality impacts and overburden chemistry of Alabama study site

    SciTech Connect (OSTI)

    Henricks, J D; Bogner, J E; Olsen, R D; Schubert, J P; Sobek, A A; Johnson, D O

    1980-05-01T23:59:59.000Z

    As part of a program to examine the ability of existing control technologies to meet federal guidelines for the quality of aqueous effluents from coal mines, an intensive study of water, coal, and overburden chemistry was conducted at a surface coal mine in Alabama from May 1976 through July 1977. Sampling sites included the pit sump, a stream downgrade from the mine, the discharge from the water treatment facility, and a small stream outside the mine drainage. Water samples were collected every two weeks by Argonne subcontractors at the Alabama Geological Survey and analysed for the following parameters: specific conductance, pH, temperature, acidity, bicarbonate, carbonate, chloride, total dissolved solids, suspended solids, sulfate, and 20 metals. Analysis of the coal and overburden shows that no potential acid problem exists at this mine. Water quality is good in both streams sampled, and high levels of dissolved elements are found only in water collected from the pit sump. The mine effluent is in compliance with Office of Surface Mining water quality standards.

  19. Lessons Learned

    E-Print Network [OSTI]

    DiMento, Joseph F.C.

    2000-01-01T23:59:59.000Z

    Lessons Learned Joseph F.C. DiMento The contributions insuccessful in bringing LESSONS LEARNED parties to discuss arelations." Yet LESSONS LEARNED "innovations" in the

  20. Quality of Survival and Growth in Children and Young Adults in the PNET4 European Controlled Trial of Hyperfractionated Versus Conventional Radiation Therapy for Standard-Risk Medulloblastoma

    SciTech Connect (OSTI)

    Kennedy, Colin, E-mail: crk1@soton.ac.uk [University of Southampton Faculty of Medicine and University Hospital Southampton National Health Service Foundation Trust, Southampton (United Kingdom); Bull, Kim [University of Southampton Faculty of Medicine and University Hospital Southampton National Health Service Foundation Trust, Southampton (United Kingdom); Chevignard, Mathilde [Hôpitaux de Saint Maurice, Saint Maurice (France); Neurophysiology, University of Pierre et Marie-Curie Paris 6, Paris (France); Culliford, David [University of Southampton Faculty of Medicine and University Hospital Southampton National Health Service Foundation Trust, Southampton (United Kingdom); Dörr, Helmuth G. [Kinder- und Jugendklinik der Universität Erlangen, Erlangen (Germany); Doz, François [Institut Curie and University Paris Descartes, Sorbonne Paris Cité (France); Kortmann, Rolf-Dieter [Department of Radiation Therapy, University of Leipzig, Leipzig (Germany); Lannering, Birgitta [Department of Pediatrics, The Sahlgren Academy, University of Gothenburg, Gothenburg (Sweden); Massimino, Maura [Fondazione Istituto di Ricovero e Cura a Carattere Scientifico IRCCS Istituto Nazionale dei Tumori, Milan (Italy); Navajas Gutiérrez, Aurora [Hospital Universitario Cruces, Baracaldo-Vizcaya (Spain); Rutkowski, Stefan [University Medical Center Hamburg-Eppendorf, Hamburg (Germany); Spoudeas, Helen A. [Center for Pediatric Endocrinology, University College London, London (United Kingdom); Calaminus, Gabriele [Pediatric Oncology, University of Muenster, Muenster (Germany)

    2014-02-01T23:59:59.000Z

    Purpose: To compare quality of survival in “standard-risk” medulloblastoma after hyperfractionated radiation therapy of the central nervous system with that after standard radiation therapy, combined with a chemotherapy regimen common to both treatment arms, in the PNET4 randomised controlled trial. Methods and Materials: Participants in the PNET4 trial and their parents/caregivers in 7 participating anonymized countries completed standardized questionnaires in their own language on executive function, health status, behavior, health-related quality of life, and medical, educational, employment, and social information. Pre- and postoperative neurologic status and serial heights and weights were also recorded. Results: Data were provided by 151 of 244 eligible survivors (62%) at a median age at assessment of 15.2 years and median interval from diagnosis of 5.8 years. Compared with standard radiation therapy, hyperfractionated radiation therapy was associated with lower (ie, better) z-scores for executive function in all participants (mean intergroup difference 0.48 SDs, 95% confidence interval 0.16-0.81, P=.004), but health status, behavioral difficulties, and health-related quality of life z-scores were similar in the 2 treatment arms. Data on hearing impairment were equivocal. Hyperfractionated radiation therapy was also associated with greater decrement in height z-scores (mean intergroup difference 0.43 SDs, 95% confidence interval 0.10-0.76, P=.011). Conclusions: Hyperfractionated radiation therapy was associated with better executive function and worse growth but without accompanying change in health status, behavior, or quality of life.

  1. CSP 587: Software Quality Management S. Kan, Software Quality engineering, Addison-Wesley.

    E-Print Network [OSTI]

    Heller, Barbara

    hours · Quality Appraisal Programs 5 hours SEI's Capability Maturity Model ISO 9000 Total 45 hours CSPCSP 587: Software Quality Management Texts S. Kan, Software Quality engineering, Addison-Wesley. Objectives Students will learn methods of software quality management. This will include exposure to software

  2. Continual Learning

    Broader source: Energy.gov [DOE]

    Continual Learning is a change initiative which is used to help develop and grow a learning culture within DOE.

  3. Water Quality (Oklahoma)

    Broader source: Energy.gov [DOE]

    The Water Quality Act establishes cumulative remedies to prevent, abate and control the pollution of the waters of the state. The act establishes responsibilities of the Oklahoma Department of...

  4. Water Quality Act (Montana)

    Broader source: Energy.gov [DOE]

    The Water Quality Act establishes water conservation and protection, as well as the prevention, abatement, and control of water pollution, as the policy of the state of Montana. The Act establishes...

  5. Lessons Learned by Lawrence Livermore National Laboratory Activity...

    Energy Savers [EERE]

    Learned by Lawrence Livermore National Laboratory Activity-level Work Planning & Control Lessons Learned by Lawrence Livermore National Laboratory Activity-level Work...

  6. SU-E-T-153: Establish a Comprehensive Patient-Specific Plan QA Database for Instituitional Quality Control Program

    SciTech Connect (OSTI)

    Ding, X; Olszanski, A; Scheuermann, R; Bellerive, M; Solberg, T [University of Pennsylvania, Philadelphia, PA (United States)

    2014-06-01T23:59:59.000Z

    Purpose: Since the publication of TG-119, several new treatment techniques requiring new QA devices have been implemented in the clinic. To monitor and analyze our institutional QA performance, we have created a comprehensive QA database using Research Electronic Data Capture (REDCap). The database will also assist us in creating IMRT QA Analysis practice guidelines. Methods: Since Oct. 2013, 336 patient plan QA results were entered into the database. Plan parameters such as plan ID, treatment site, technique, energy, optimization constraints, modulation factor, leaf speed, leaf opening.etc were automatically extracted from the Varian Eclipse database to allow us to refine our evaluation and analysis method. Specific QA device, LINAC-related information, and measurement and analysis results were manually entered by the QA team. IMRT plans were measured using MapCHECK2 while RapidArc plans were measured using ArcCHECK. Distance-To-Agreement 3%/3mm without global maximum normalization was used. Results: The data indicates that different treatment techniques might benefit from a different site-specific action level(AL) depending on the complexity of the plan and optimization parameter used (e.g., breast IMRT QA= 97.8% and pelvis IMRT QA=93.1%). Different QA devices may also benefit from a different AL (MapCHECK2 = 94.1% while ArcCHECK = 83.0%). The relationship between the parameters and passing rate suggests that the complexity of each plan, characterized by leaf travel, leaf opening and modulation factor, affect the passing rate significantly. The database is reviewed regularly, and any abnormal point of the QA result or a trend of lower QA passing rate on a specific LINAC is further investigated. Conclusion: Establishing a comprehensive QA database provides an overview of the quality assurance program. It not only helps in answering the question “what is a reasonable and achievable standard for each institution”, but also saves time in monitoring and investigating the daily machine and QA performance.

  7. This document is a preprint of the final paper: Savaghebi, M.; Jalilian, A.; Vasquez, J. C.; Guerrero, J. M.; , "Secondary Control for Voltage Quality Enhancement in Microgrids," Smart Grid, IEEE Transactions on , vol.3, no.4, pp.1893-1902, Dec. 2012. doi

    E-Print Network [OSTI]

    Vasquez, Juan Carlos

    .; Guerrero, J. M.; , "Secondary Control for Voltage Quality Enhancement in Microgrids," Smart Grid, IEEE for enhancement of Sensitive Load Bus (SLB) voltage quality in microgrids. The control structure consists control scheme. Index Terms--Distributed Generator (DG), microgrid, voltage harmonics, voltage unbalance

  8. Office of Quality Management

    Broader source: Energy.gov [DOE]

    The Office of Quality Management develops and interprets Government-wide policies and procedures and conducts training to ensure the accurate identification of information and documents that must be classified or controlled under statute or Executive order to protect the national security and controlled unclassified Official Use Only information for the effective operation of the Government.

  9. Robot Learning Learning Models for Control

    E-Print Network [OSTI]

    in order to ensure the safe interaction with human beings. In contrast, traditional industrial robots

  10. Lessons Learned Quarterly Report, June 2006

    Broader source: Energy.gov [DOE]

    Welcome to the 47th quarterly report on lessons learned in the NEPA process. The quality of our NEPA process affects the quality of DOE’s decisions. Our appreciation goes out to all the NCOs and NEPA Document Managers who work every day to build quality into NEPA documents.

  11. EERE Quality Control Workshop Agenda

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22, 2014FluidLaboratoryDesertEERE

  12. Managerial information behaviour: Relationships among Total Quality Management orientation, information use environments, and managerial roles

    E-Print Network [OSTI]

    Simard, C; Rice, Ronald E

    2006-01-01T23:59:59.000Z

    total quality management and socio-technical systems theory.management creates control systems that maintain and improve quality,

  13. Quality Cost Analysis: Benefits and Risks Copyright Cem Kaner

    E-Print Network [OSTI]

    managers."1 Joseph Juran, one of the world's leading quality theorists, has been advocating the analysis. "Quality Costs" in Juran, J.M. & Gryna, F. M. (1988, 4th Ed.), Juran's Quality Control Handbook, Mc Gryna, F. M. "Quality Costs" in Juran, J.M. & Gryna, F. M. (1988, 4th Ed.), Juran's Quality Control

  14. Managerial information behaviour: Relationships among Total Quality Management orientation, information use environments, and managerial roles

    E-Print Network [OSTI]

    Simard, C; Rice, Ronald E

    2006-01-01T23:59:59.000Z

    NetWorking Total quality management and the control of workall information reported to management Quality means meetingby integrating total quality management and socio-technical

  15. On Linguistic Quality of Natural Language Requirements

    E-Print Network [OSTI]

    Ruggieri, Salvatore

    , has now reached its limits. Like classical engineering switched from quality control to total qualityOn Linguistic Quality of Natural Language Requirements F. Fabbrini 1 , M. Fusani 1 , V. Gervasi 2 Informatica, Corso Italia 40, 56125 Pisa Italy. Abstract. We recognize the need for defining a quality model

  16. Kinematic Motor Learning Wolfram Schenck

    E-Print Network [OSTI]

    Moeller, Ralf

    Kinematic Motor Learning Wolfram Schenck Computer Engineering Group Faculty of Technology Bielefeld-521-106-6440 mail: wschenck@ti.uni-bielefeld.de Abstract This paper focuses on adaptive motor control in the kinematic domain. Several motor learning strategies from the literature are adopted to kinematic problems

  17. Matrix Learning in Learning Vector Quantization

    E-Print Network [OSTI]

    Biehl, Michael

    Zachmann (Computer Graphics) #12;Matrix Learning in Learning Vector Quantization Michael Biehl1 , Barbara

  18. Lesson Learned by Environmental Management Complex-wide Activity...

    Broader source: Energy.gov (indexed) [DOE]

    Environmental Management Complex-wide Activity-level Work Planning and Control Lesson Learned by Environmental Management Complex-wide Activity-level Work Planning and Control...

  19. Neuronal Representations of Learning Sensorimotor Skills

    E-Print Network [OSTI]

    of learning-related changes: additional controls and simulations....68-74 V. Viewing and Doing: SimilarNeuronal Representations of Learning Sensorimotor Skills Thesis submitted for the degree "Doctor.......................................................................................26-47 II. Preparatory Activity in Motor Cortex Reflects Learning of Local Visuomotor Skills

  20. Slag pit practices to improve slag quality

    SciTech Connect (OSTI)

    Mertdogan, A. [Metal Enterprises, Research and Technology, Inc., Homewood, IL (United States); Gambol, F.C.; Spaeth, J.R.; Zbos, J.; Batka, R. [Acme Steel Co., Chicago, IL (United States); Tolliver, D. [Heckett MultiServ, Whiting, IN (United States)

    1996-12-31T23:59:59.000Z

    Slag quality had deteriorated recently. Without the explicit approval for slag quality by the Illinois Department of Transportation, the slag would not be saleable. Disposal of slag to landfills was going to be an expensive solution and rife with environmental concerns. A slag quality control program embarked on in mid-1994 restored slag quality to desired specifications. This paper describes the changes in slag pit practice adopted following extensive tests performed on cooling slag under controlled conditions.

  1. Energy-Smart Building Choices: How School Administrators and Board Members Are Improving Learning and Saving Money

    SciTech Connect (OSTI)

    Energy Smart Schools Team

    2001-08-06T23:59:59.000Z

    Most K-12 schools could save 25% of their energy costs by being smart about energy. Nationwide, the savings potential is $6 billion. While improving energy use in buildings and busses, schools are likely to create better places for teaching and learning, with better lighting, temperature control, acoustics, and air quality. This brochure, targeted to school administrators and board members, describes how schools can become more energy efficient.

  2. Energy-Smart Building Choices: How Parents and Teachers Are Helping to Create Better Environments for Learning

    SciTech Connect (OSTI)

    Energy Smart Schools Team

    2001-08-06T23:59:59.000Z

    Most K-12 schools could save 25% of their energy costs by being smart about energy. Nationwide, the savings potential is $6 billion. While improving energy use in buildings and busses, schools are likely to create better places for teaching and learning, with better lighting, temperature control, acoustics, and air quality. This brochure, targeted to parents and teachers, describes how schools can become more energy efficient.

  3. Water Quality Act (New Mexico)

    Broader source: Energy.gov [DOE]

    This act establishes the Water Quality Control Commission and states the powers and duties of the commission. Rules are stated for adoption of regulations and standards and information is provided...

  4. Louisiana Air Control Law (Louisiana)

    Broader source: Energy.gov [DOE]

    This law states regulations for air quality control and states the powers and duties of the secretary of environmental quality. It provides information about permits and licenses, air quality...

  5. Quality Policy

    Broader source: Energy.gov [DOE]

    Quality Policy It is the policy of the Department of Energy to establish quality requirements to ensure that risks and environmental impacts are minimized and that safety, reliability, and performance are maximized through the application of effective management systems commensurate with the risks posed by the facility or activity and its work. The Department implements this policy through the QA Order and the QA rule directives to ensure quality assurance requirements are clearly specified for the broad spectrum of work performed by DOE and its contractors.

  6. Regulations for Air Quality (Quebec, Canada)

    Broader source: Energy.gov [DOE]

    This Regulation establishes emission standards for particulates and gases, emission opacity standards, standards of air quality and control measures to prevent, eliminate or reduce the emission of...

  7. Service Quality Assurance 08/08/08 INMGT 220 001

    E-Print Network [OSTI]

    Wu, Mingshen

    . Course Objectives An introduction to quality, quality systems, and quality management through a survey) in Technology Management from Indiana State Univ., specialization in manufacturing systems [planning to receive · Statistical Process Control (partial) Textbook The Management and Control of Quality by Evans and Lindsay 6th

  8. Quality Assurance

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2005-06-17T23:59:59.000Z

    This Order ensures that the quality of DOE/NNSA products and services meets or exceeds the customers' expectations. Cancels DOE O 414.1B and DOE N 411.1. Canceled by DOE O 414.1D.

  9. Quality Assurance

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1999-09-29T23:59:59.000Z

    To establish an effective management system [i.e., quality assurance programs (QAPs)] using the performance requirements of this Order, coupled with technical standards where appropriate. Cancels DOE O 414.1.

  10. Quality Assurance

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2004-04-29T23:59:59.000Z

    This Order ensures that the quality of DOE/NNSA products and services meets or exceeds the customer's expectations. This Order cancels DOE O 414.1A, Quality Assurance, dated 9-29-99, and Attachment 1, paragraph 8, and Attachment 2, paragraph 22, of DOE O 440.1A, Worker Protection Management for DOE Federal and Contractor Employees, dated 3-27-98. Cancels: DOE O 414.1A and DOE O 440.1A, parts as noted.

  11. Test quality

    SciTech Connect (OSTI)

    Hartley, R.S. [EG and G Idaho, Inc., Idaho Falls, ID (United States); Keller, A.E. [Nuclear Regulatory Commission, Washington, DC (United States)

    1992-09-01T23:59:59.000Z

    This document discusses inservice testing of safety-related components at nuclear power plants which is performed under the American Society of Mechanical Engineers Boiler and Pressure Vessel Code (the Code). Subsections IWP and IWV of Section XI of the Code state test method and frequency requirements for pumps and valves respectively. Tests vary greatly in quality and frequency. This paper explores the concept of test quality and its relationship with operational readiness and preventive maintenance. This paper also considers the frequencies of component testing. Test quality is related to a test`s ability to detect degradation that can cause component failure. The quality of the test depends on several factors, including specific parameters measured, system or component conditions, and instrument accuracy. The quality of some currently required tests for check valves, motor-operated valves, and pumps is also discussed. Suggestions are made to improve test quality by measuring different parameters, testing valves under load, and testing positive displacement pumps at high pressure and centrifugal pumps at high flow rate conditions. These suggestions can help to improve the level of assurance of component operational readiness gained from testing.

  12. Test quality

    SciTech Connect (OSTI)

    Hartley, R.S. (EG and G Idaho, Inc., Idaho Falls, ID (United States)); Keller, A.E. (Nuclear Regulatory Commission, Washington, DC (United States))

    1992-01-01T23:59:59.000Z

    This document discusses inservice testing of safety-related components at nuclear power plants which is performed under the American Society of Mechanical Engineers Boiler and Pressure Vessel Code (the Code). Subsections IWP and IWV of Section XI of the Code state test method and frequency requirements for pumps and valves respectively. Tests vary greatly in quality and frequency. This paper explores the concept of test quality and its relationship with operational readiness and preventive maintenance. This paper also considers the frequencies of component testing. Test quality is related to a test's ability to detect degradation that can cause component failure. The quality of the test depends on several factors, including specific parameters measured, system or component conditions, and instrument accuracy. The quality of some currently required tests for check valves, motor-operated valves, and pumps is also discussed. Suggestions are made to improve test quality by measuring different parameters, testing valves under load, and testing positive displacement pumps at high pressure and centrifugal pumps at high flow rate conditions. These suggestions can help to improve the level of assurance of component operational readiness gained from testing.

  13. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 15, NO. 6, AUGUST 1997 1029 Quality Control for VBR Video over ATM Networks

    E-Print Network [OSTI]

    El Zarki, Magda

    descriptor and the required QoS. The service contract also specifies the traffic behavior to which the input will not jeopardize the quality of service (QoS) of the existing connections. If the connection is admitted, a service contract is established specifying the amount of resources reserved according to the source traffic

  14. COLLINS, KELLY ALYSSA. A Field Evaluation of Four Types of Permeable Pavement with Respect to Water Quality Improvement and Flood Control. (Under the direction of

    E-Print Network [OSTI]

    Hunt, William F.

    ABSTRACT COLLINS, KELLY ALYSSA. A Field Evaluation of Four Types of Permeable Pavement with Respect Carolina and several other U.S. states, all permeable pavements are currently considered to have similar the hydrologic and water quality responses of various permeable pavement designs, a 20-stall parking lot

  15. The Relation Between Family Functioning, Health-related Quality of Life, and Metabolic Control in Children and Adolescents with Type 1 Diabetes

    E-Print Network [OSTI]

    Lawrence, Kelly Ann

    2011-10-21T23:59:59.000Z

    and adolescents with type 1 diabetes. Children (N = 45) ages 8-17, both male and female, with type 1 diabetes, along with one caregiver (parent or legal guardian) (N = 45) were asked to complete the Pediatric Quality of Life Inventory (PedsQL) generic and diabetes...

  16. Randomized Control Trial: Evaluating Aluminum-Based Antiperspirant Use, Axilla Skin Toxicity, and Reported Quality of Life in Women Receiving External Beam Radiotherapy for Treatment of Stage 0, I, and II Breast Cancer

    SciTech Connect (OSTI)

    Watson, Linda C., E-mail: Linda.watson@albertahealthservices.ca [Department of Interdisciplinary Practice, Community Oncology, Alberta Health Services-Cancer Care, Calgary, AB (Canada); Gies, Donna [Department of Radiation Oncology Nursing, Tom Baker Cancer Centre, Alberta Health Services-Cancer Care, Calgary, AB (Canada); Thompson, Emmanuel [Department of Mathematics and Statistics, University of Calgary Faculty of Science, Calgary, AB (Canada); Thomas, Bejoy [Department of Psychosocial Resources, Tom Baker Cancer Centre, Alberta Health Services-Cancer Care, Calgary, AB (Canada); Department of Psychosocial Oncology, University of Calgary Faculty of Medicine, Calgary, AB (Canada)

    2012-05-01T23:59:59.000Z

    Purpose: Standard skin care instructions regarding the use of antiperspirants during radiotherapy to the breast varies across North America. Women have articulated that when instructed to not use antiperspirant, the potential for body odor is distressing. Historical practices and individual opinions have often guided practice in this field. The present study had 2 purposes. To evaluate whether the use of aluminum-based antiperspirant while receiving external beam radiotherapy for stage 0, I, or II breast cancer will increase axilla skin toxicity and to evaluate whether the use of antiperspirant during external beam radiotherapy improves quality of life. Methods: A total of 198 participants were randomized to either the experimental group (antiperspirant) or control group (standard care-wash only). The skin reactions in both groups were measured weekly and 2 weeks after treatment using the National Cancer Institute Common Toxicity Criteria Adverse Events, version 3, toxicity grading criteria. Both groups completed the Functional Assessment for Chronic Illness Therapy's questionnaire for the breast population quality of life assessment tool, with additional questions evaluating the effect of underarm antiperspirant use on quality of life before treatment, immediately after treatment, and 2 weeks after treatment during the study. Results: The skin reaction data were analyzed using the generalized estimating equation. No statistically significant difference was seen in the skin reaction between the 2 groups over time. The quality of life data also revealed no statistically significant difference between the 2 groups over time. Conclusions: Data analysis indicates that using antiperspirant routinely during external beam radiotherapy for Stage 0, I, or II breast cancer does not affect the intensity of the skin reaction or the self-reported quality of life. This evidence supports that in this particular population, there is no purpose to restrict these women from using antiperspirants during their treatment, and the decision to use an antiperspirant or not in this setting should be left to the discretion of the patient.

  17. The relative roles of family and peer support in metabolic control and quality of life for adolescents with type 1 diabetes 

    E-Print Network [OSTI]

    Robinson, Victoria Margaret

    Background: Metabolic control declines during adolescence, increasing the risk of severe medical complications. Numerous burdensome treatments including insulin management, blood glucose monitoring, diet and exercise are ...

  18. Quality Planning Handbook VERSION 1.0 November 22, 1999, 1998

    E-Print Network [OSTI]

    Report DQOs Data Quality Objectives GIS Geographic Information System MSR Management Systems Review Performance Evaluation QA Quality Assurance QC Quality Control QSMP Quality Systems Management Plan PQMP Program Quality Management Plans QIWP Quality Integrated Work Plan QSSC Quality Systems Science Center R

  19. Science Learning+: Phase 1 projects Science Learning+

    E-Print Network [OSTI]

    Rambaut, Andrew

    Science Learning+: Phase 1 projects Science Learning+ Phase 1 projects 2 December 2014 #12..............................................................................................................4 Youth access and equity in informal science learning: developing a research and practice agenda..................................................................................................5 Enhancing informal learning through citizen science..............................................6

  20. Course info Machine Learning

    E-Print Network [OSTI]

    Shi, Qinfeng "Javen"

    info 2 Machine Learning What's Machine Learning? Types of Learning Overfitting Occam's Razor 3 Real's Machine Learning? Types of Learning Overfitting Occam's Razor Machine Learning Using data to uncover Real life problems What's Machine Learning? Types of Learning Overfitting Occam's Razor Formulation

  1. Workshop on indoor air quality research needs

    SciTech Connect (OSTI)

    Not Available

    1980-01-01T23:59:59.000Z

    Workshop participants report on indoor air quality research needs including the monitoring of indoor air quality, report of the instrumentation subgroup of indoor air quality, health effects, and the report of the control technology session. Risk analysis studies addressing indoor environments were also summarized. (DLS)

  2. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01T23:59:59.000Z

    Learning Control for Thermal Energy Storage Systems”. In:Predictive Control of Thermal Energy Storage in Buildingmaking use of building thermal energy storage, and this work

  3. THE LEARNING Cardiff Centre for Lifelong Learning

    E-Print Network [OSTI]

    Davies, Christopher

    for different types of learning. You will need to adopt learning strategies that are most appropriateTHE LEARNING GUIDE Cardiff Centre for Lifelong Learning Canolfan Caerdydd ar gyfer Addysg Gydol Oes www.cardiff.ac.uk/learn www.caerdydd.ac.uk/dysgu #12;The Cardiff Centre for Lifelong Learning provides

  4. Real-time Prediction Learning for the Simultaneous Actuation of Multiple Prosthetic Joints

    E-Print Network [OSTI]

    Sutton, Richard S.

    into a prosthetic control system promises to enhance multi-joint prosthesis use by amputees. In this article, we with real-time prediction learning. We evaluate this new approach to control learning during the myoelectric learning may speed control policy acquisition, allow unsupervised adaptation in myoelectric controllers

  5. Efficacy of Learning Strategies Instruction in Adult Basic Education

    E-Print Network [OSTI]

    Hock, Mike; Mellard, Daryl

    2011-01-01T23:59:59.000Z

    Results from randomized controlled trials of learning strategies instruction with 375 adult basic education (AE) participants are reported. Reading outcomes from whole group strategic instruction in one of four learning ...

  6. LEARNING HERITAGE RESTORATION, LEARNING MATHEMATICS

    E-Print Network [OSTI]

    Spagnolo, Filippo

    of architectural historical heritage. Geometry of a heritage building Describing the geometry of a buildingLEARNING HERITAGE RESTORATION, LEARNING MATHEMATICS Santiago Sanchez-Beitia, Javier Barrallo is the first phase of a heritage restoration work. A precise geometric model must be conceptually simple

  7. Occupant satisfaction with indoor environmental quality in green buildings

    E-Print Network [OSTI]

    Abbaszadeh, S.; Zagreus, Leah; Lehrer, D.; Huizenga, C

    2006-01-01T23:59:59.000Z

    145: Learning from our buildings: a state-of-the- practiceProceedings of Healthy Buildings 2006, Lisbon, Vol. III,Environmental Quality in Green Buildings S. Abbaszadeh 1 ,

  8. Quality Assurance

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1981-01-16T23:59:59.000Z

    To provide Department of Energy (DOE) policy, set forth principles, and assign responsibilities for establishing, implementing, and maintaining programs of plans and actions to assure quality achievement in DOE programs. Canceled by DOE O 5700.6A, dated 7-21-1981.

  9. Quality Assurance

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1981-07-21T23:59:59.000Z

    To provide Department of Energy (DOE) policy, set forth principles, and assign responsibilities for establishing, implementing, and maintaining programs of plans and actions to assure quality achievement in DOE programs. Cancels DOE O 5700.6, dated 1-16-1981. Canceled by DOE O 5700.6B, dated 9-23-1986.

  10. Executive Attention and Action Selection in a Neurally Controlled Simulated Robot Executive Attention, Task Selection and Attention-based Learning in a

    E-Print Network [OSTI]

    Meehan, Anthony

    attention, which is used to control both automatic (reactive) and willed action selection in a simulated features of human attentional control: selection of an intended task over a more salient automatic task inattentive to important cues in the world [27]. Our strategy for developing robot control systems is born

  11. Observational learning in horses

    E-Print Network [OSTI]

    Baer, Katherine Louise

    1979-01-01T23:59:59.000Z

    . One group served as control subjects while the other group functioned as a treated group (observers). The observers were allowed to watch a correctly performed discrimination task prior to testing of a learning response using the same task.... Discrimination testing was conducted on all horses daily for 14 days with criterion set at seven out of eight responses correct with the last five consecutively correct. The maximum number of trials performed without reaching set criterion was limited...

  12. Factors controlling reservoir quality in tertiary sandstones and their significance to geopressured geothermal production. Annual report, May 1, 1979-May 31, 1980

    SciTech Connect (OSTI)

    Loucks, R.G.; Richmann, D.L.; Milliken, K.L.

    1980-07-01T23:59:59.000Z

    Differing extents of diagenetic modification is the factor primarily responsible for contrasting regional reservoir quality of Tertiary sandstones from the Upper and Lower Texas Gulf Coast. Detailed comparison of Frio sandstones from the Chocolate Bayou/Danbury Dome area, Brazoria County, and Vicksburg sandstones from the McAllen Ranch Field area, Hidalgo County, reveals that extent of diagenetic modification is most strongly influenced by (1) detrital mineralogy and (2) regional geothermal gradients. Vicksburg sandstones from the McAllen Ranch Field area are less stable, chemically and mechanically, than Frio sandstones from the Chocolate Bayou/Danbury dome area. Vicksburg sandstones are mineralogically immature and contain greater proportions of feldspars and rock fragments than do Frio sandstones. Thr reactive detrital assemblage of Vicksubrg sandstones is highly susceptible to diagenetic modification. Susceptibility is enhanced by higher than normal geothermal gradients in the McAllen Ranch Field area. Thus, consolidation of Vicksburg sandstones began at shallower depth of burial and precipitation of authigenic phases (especially calcite) was more pervasive than in Frio sandstones. Moreover, the late-stage episode of ferroan calcite precipitation that occluded most secondary porosity in Vicksburg sandstones did not occur significantly in Frio sandstones. Therefore, regional reservoir quality of Frio sandstones from Brazoria County is far better than that characterizing Vicksburg sandstones from Hidalgo County, especially at depths suitable for geopressured geothermal energy production.

  13. One of John Dempsey Hospital's new quality improvement tools

    E-Print Network [OSTI]

    Oliver, Douglas L.

    One of John Dempsey Hospital's new quality improvement tools borrows lessons learned from the nuclear power industry, manufac turing and aviation. "Safety is a science. Reliability is a science, is a former Navy pilot. "We're learning specific tools based on high reliability tech niques to improve

  14. On Teaching Quality Improvement of a Mathematical Topic Using Artificial Neural Networks Modeling (With a Case Study)

    E-Print Network [OSTI]

    Spagnolo, Filippo

    431 On Teaching Quality Improvement of a Mathematical Topic Using Artificial Neural Networks inspired by simulation by Artificial Neural Networks (ANNs) applied recently for evaluation of phonics performance. Keywords: Artificial Neural Networks, Learning Performance Evaluation, Computer Aided Learning

  15. SAPHIRE 8 Software Quality Assurance Oversight

    SciTech Connect (OSTI)

    Kurt G. Vedros

    2011-09-01T23:59:59.000Z

    The software quality assurance oversight consists of updating and maintaining revision control of the SAPHIRE 8 quality assurance program documentation and of monitoring revision control of the SAPHIRE 8 source code. This report summarizes the oversight efforts through description of the revision control system (RCS) setup, operation and contents. Documents maintained under revision control include the Acceptance Test Plan (ATP), Configuration Management Plan, Quality Assurance Plan, Software Project Plan, Requirements Traceability Matrix (RTM), System Test Plan, SDP Interface Training Manual, and the SAPHIRE 8, 'New Features and Capabilities Overview'.

  16. Quality Assurance

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2001-07-12T23:59:59.000Z

    To establish an effective management system [i.e., quality assurance programs(QAPs)] using the performance requirements of this Order, coupled with technical standards where appropriate. Change 1, dated 7/12/01, facilitates the Department's organizational transition necessitated by establishment of the NNSA. (Attachment 2 of this Order is canceled by DOE O 470.2B.) Cancels: DOE O 414.1

  17. Air Quality: Acronym List Department: Chemical and General Safety

    E-Print Network [OSTI]

    Wechsler, Risa H.

    Air Quality: Acronym List Department: Chemical and General Safety Program: Air Quality Owner: Program Manager Authority: ES&H Manual, Chapter 30, Air Quality1 ACM asbestos-containing material AHA area hazard analysis AQPM air quality program manager ARP accidental release prevention ATCM air toxic control

  18. Quality assurance in small plating shops

    SciTech Connect (OSTI)

    McNabb, W.J. (Electroless Nickel Plating of Louisiana, Hammond, LA (United States))

    1993-10-01T23:59:59.000Z

    The potential for electroless nickel coatings in oilfield and petrochemical applications is quite high. The greatest obstacle to their use has been a reputation for poor quality due to a lack of quality control in many plating shops. To overcome this, electroless nickel shops should not only have a quality control program in their operation, but must also document its use and success. This article describes how a plating shoe can develop the necessary procedures, manuals, and paperwork trail to offer quality assurance and to satisfy customers.

  19. REEDMULTIMEDIA LEARNING Cognitive Architectures for Multimedia Learning

    E-Print Network [OSTI]

    Gallo, Linda C.

    REEDMULTIMEDIA LEARNING Cognitive Architectures for Multimedia Learning Stephen K. Reed Center overview of cognitive architectures that can form a theoretical foundation for designing multimedia operations. Architectures that are relevant to multimedia learning include Paivio's dual coding theory

  20. Expanded Course Description for 11:776:413 Soil Quality

    E-Print Network [OSTI]

    Chen, Kuang-Yu

    Soil Quality: soil management & sustainability, concept of best management practices (BMPs) Soil and restoration of desirable properties will be addressed. Management of our soil resource to maintain or improve soil quality and maximize ecosystem sustainability will be emphasized. Learning Goals: To gain full

  1. Lessons Learned from Cyber Security Assessments of SCADA and...

    Broader source: Energy.gov (indexed) [DOE]

    Department of Energy Office of Electricity Delivery and Energy Reliability Enhancing control systems security in the energy sector NSTB September 2006 LESSONS LEARNED FROM CYBER...

  2. A statistical rationale for establishing process quality control limits using fixed sample size, for critical current verification of SSC superconducting wire

    SciTech Connect (OSTI)

    Pollock, D.A.; Brown, G.; Capone, D.W. II; Christopherson, D.; Seuntjens, J.M.; Woltz, J.

    1992-03-01T23:59:59.000Z

    The purpose of this paper is to demonstrate a statistical method for verifying superconducting wire process stability as represented by I{sub c}. The paper does not propose changing the I{sub c} testing frequency for wire during Phase 1 of the present Vendor Qualification Program. The actual statistical limits demonstrated for one supplier`s data are not expected to be suitable for all suppliers. However, the method used to develop the limits and the potential for improved process through their use, may be applied equally. Implementing the demonstrated method implies that the current practice of testing all pieces of wire from each billet, for the purpose of detecting manufacturing process errors (i.e. missing a heat-treatment cycle for a part of the billet, etc.) can be replaced by other less costly process control measures. As used in this paper process control limits for critical current are quantitative indicators of the source manufacturing process uniformity. The limits serve as alarms indicating the need for manufacturing process investigation.

  3. Mixture-process variable approach to optimize a microemulsion electrokinetic chromatography method for the quality control of a nutraceutical based on coenzyme Q10

    SciTech Connect (OSTI)

    Piepel, Gregory F.; Pasquini, Benedetta; Cooley, Scott K.; Heredia-Langner, Alejandro; Orlandini, Serena; Furlanetto, Sandra

    2012-08-15T23:59:59.000Z

    In recent years, multivariate optimization has played an increasing role in analytical method development. ICH guidelines recommend using statistical design of experiments to identify the design space, in which multivariate combinations of composition variables and process variables have been demonstrated to provide quality results. Considering a microemulsion electrokinetic chromatography method (MEEKC), the performance of the electrophoretic run depends on the proportions of mixture components (MCs) of the microemulsion and on the values of process variables (PVs). In the present work, for the first time in the literature, a mixture-process variable (MPV) approach was applied to optimize a MEEKC method for the analysis of coenzyme Q10 (Q10), ascorbic acid (AA), and folic acid (FA) contained in nutraceuticals. The MCs (buffer, surfactant-cosurfactant, oil) and the PVs (voltage, buffer concentration, buffer pH) were simultaneously changed according to a MPV experimental design. A 62-run MPV design was generated using the I-optimality criterion, assuming a 46-term MPV model allowing for special-cubic blending of the MCs, quadratic effects of the PVs, and some MC-PV interactions. The obtained data were used to develop MPV models that express the performance of an electrophoretic run (measured as peak efficiencies of Q10, AA, and FA) in terms of the MCs and PVs. Contour and perturbation plots were drawn for each of the responses. Finally, the MPV models and criteria for the peak efficiencies were used to develop the design space and an optimal subregion (i.e., the settings of the mixture MCs and PVs that satisfy the respective criteria), as well as a unique optimal combination of MCs and PVs.

  4. Locus of Control & Motivation Strategies for Learning Questionnaire: Predictors of Student Success on the ATI Comprehensive Predictor Exam & NCLEX-RN Examination

    E-Print Network [OSTI]

    Carpenter, Jane H.

    2011-01-31T23:59:59.000Z

    ABSTRACT The two purposes of this study were to determine whether locus of control (LOC) was predictive of how a student would perform on the ATI Comprehensive Predictor Exam and the NCLEX-RN, and if the Motivated Strategies ...

  5. Robotics for Learning

    E-Print Network [OSTI]

    Toh, Dennis; Lim, Matthew; Wee, Loo Kang; Ong, Matthew

    2015-01-01T23:59:59.000Z

    Teaching Robotics is about empowering students to create and configure robotics devices and program computers to nurture in students the skill sets necessary to play an active role in society. The robot in Figure 1 focuses on the design of scaffolds and physical assembly methods, coupled with a computer logic program to make that makes it move or behave in a very precise (remote controlled or autonomous) manner. This enables students to investigate, explore and refine the program to affect the robots. The Robotics approach takes into account the increasing popularity of Computer Science and the learning by doing (Schank, Berman, & Macpherson, 1999) approach to solve complex problems and use computers meaningfully in learning (Barron & Darling-Hammond, 2008; Jonassen, Howland, Marra, & Crismond, 2008). In Singapore, teachers and students in Woodlands Ring Secondary and Rulang Primary have incorporated robotics to varying extents into formal and informal curricula. In addition, other less expensive ...

  6. On Improving the Effectiveness of Open Learning Environments

    E-Print Network [OSTI]

    Conati, Cristina

    specific student difficulties. ACE provides students with a highly-graphical, exploratory learning that support the exploratory behaviour of those students who would otherwise have trouble learning of tutor-controlled environments that monitor and structure the learning process through focused activities

  7. Modeling cerebellar learning for spatial cognition Jean-Baptiste Passot

    E-Print Network [OSTI]

    Arleo, Angelo

    simulated controls and mutants with identical declarative learning capabilities. The model reproduces most comparable learning capabilities in the Starmaze paradigm. On the other hand, our simulations cannotModeling cerebellar learning for spatial cognition Jean-Baptiste Passot 1,2 , Laure Rondi-Reig 1

  8. Cooperative Spectrum Sensing Using Q-Learning with Experimental Validation

    E-Print Network [OSTI]

    Qiu, Robert Caiming

    context, and results are given based on simulations. In [12], [13], Q- learning is used for channel theoretical analysis and simulation results are presented. In [14], a correlated Q-learning algorithm is pro control problem in a CR system, but no simulation result is shown. In [15], decentralized Q-learning

  9. Quality Assurance 9-1 9. Quality Assurance

    E-Print Network [OSTI]

    Pennycook, Steve

    ). Certified standards traceable to the National In- stitute of Standards and Technology (NIST), DOE sources standards. 9.2 Field Sampling Quality Assurance Field sampling QA encompasses many prac- tices that minimize control processes and standard operating procedures for sample collection and analysis; use of chain

  10. Why Machine Learning and Games? Machine Learning in Video Games

    E-Print Network [OSTI]

    Hunt, Galen

    Controller Car Behaviour AI Driving Drivatar Racing Line Behaviour Model Drivatar Learning System Drivatar AI Driving #12;#12;Two phase process: 1. Pre-generate possible racing lines prior to the race from Conclusions #12;Adaptive avatar for driving Separate game mode Basis of all in-game AI Basis of "dynamic

  11. RESIDENTIAL LOCATION CHOICE AND TRAVEL BEHAVIOR: IMPLICATIONS FOR AIR QUALITY

    E-Print Network [OSTI]

    Levinson, David M.

    RESIDENTIAL LOCATION CHOICE AND TRAVEL BEHAVIOR: IMPLICATIONS FOR AIR QUALITY UC Davis-Caltrans Air control measure. #12;RESIDENTIAL LOCATION CHOICE AND TRAVEL BEHAVIOR: IMPLICATIONS FOR AIR QUALITY.......................................................... 3 2.2 The Role of Residential Location Choice

  12. LEARNING... INFORMATION

    E-Print Network [OSTI]

    Strathclyde, University of

    in black and white/ double-sided. To set up a Google Cloud Printer to connect to printers in the LibraryYOUR LIBRARY YOUR LEARNING... YOUR INFORMATION SERVICES YOUR RESOURCES... GOOGLE CLOUD PRINT You can use Google Cloud Print to print from your Chromebook, phone, tablet and Google Apps. PLEASE NOTE

  13. Feudal Reinforcement Learning Peter Dayan

    E-Print Network [OSTI]

    Dayan, Peter

    Feudal Reinforcement Learning Peter Dayan CNL The Salk Institute PO Box 85800 San Diego CA 92186-grid division of the space in which the agent moves, and section 4 draws some conclusions. 2 FEUDAL CONTROL We sought to build a system that mirrored the hierarchical aspects of a feudal fief- dom, since this is one

  14. Project Learning What are the "Lessons Learned"

    E-Print Network [OSTI]

    Christian, Eric

    Project Learning What are the "Lessons Learned" requirements? How can you fulfill the requirements the initial Lessons Learned Plan after KDP A and incorporate into the Preliminary Project Plan; Hold a PaL after KDP D/launch, review and submit lessons · Consolidate all Lessons Learned into a Final Lessons

  15. Learning Java

    E-Print Network [OSTI]

    Niemeyer, Patrick

    2005-01-01T23:59:59.000Z

    Version 5.0 of the Java 2 Standard Edition SDK is the most important upgrade since Java first appeared a decade ago. With Java 5.0, you'll not only find substantial changes in the platform, but to the language itself-something that developers of Java took five years to complete. The main goal of Java 5.0 is to make it easier for you to develop safe, powerful code, but none of these improvements makes Java any easier to learn, even if you've programmed with Java for years. And that means our bestselling hands-on tutorial takes on even greater significance. Learning Java is the most widely sou

  16. Learning Curve

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-03-28T23:59:59.000Z

    It is a fundamental human characteristic that a person engaged in a repetitive task will improve his performance over time. If data are gathered on this phenomenon, a curve representing a decrease in effort per unit for repetitive operations can be developed. This phenomenon is real and has a specific application in cost analysis, cost estimating, or profitability studies related to the examination of future costs and confidence levels in an analysis. This chapter discusses the development and application of the learning curve.

  17. Quantum Bootstrapping via Compressed Quantum Hamiltonian Learning

    E-Print Network [OSTI]

    Nathan Wiebe; Christopher Granade; David G. Cory

    2015-03-30T23:59:59.000Z

    Recent work has shown that quantum simulation is a valuable tool for learning empirical models for quantum systems. We build upon these results by showing that a small quantum simulators can be used to characterize and learn control models for larger devices for wide classes of physically realistic Hamiltonians. This leads to a new application for small quantum computers: characterizing and controlling larger quantum computers. Our protocol achieves this by using Bayesian inference in concert with Lieb-Robinson bounds and interactive quantum learning methods to achieve compressed simulations for characterization. Whereas Fisher information analysis shows that current methods which employ short-time evolution are suboptimal, interactive quantum learning allows us to overcome this limitation. We illustrate the efficiency of our bootstrapping protocol by showing numerically that an 8-qubit Ising model simulator can be used to calibrate and control a 50 qubit Ising simulator while using only about 750 kilobits of experimental data.

  18. Scholarship of and Learning

    E-Print Network [OSTI]

    Herbert, Bruce

    is characterized by: A clear focus on student learning. The scholarship of teaching and learning is drivenLeadership for the Scholarship of Teaching and Learning Improve student learning Stimulate and their students learning; many today are trying new classroom approaches in the hopes of strengthening

  19. abacc laboratories quality: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Table of Contents What is Quality Control Rodriguez, Carlos 52 Developing solutions for sustainable living-the Urban Living Laboratory: The world's largest 'living laboratory'...

  20. Quality Concepts 08/08/08 INMGT 120 001 and 401

    E-Print Network [OSTI]

    Wu, Mingshen

    . Course Objectives An introduction to quality, quality systems, and quality management through a survey) in Technology Management from Indiana State Univ., specialization in manufacturing systems [planning to receive · Statistical Process Control (partial) Textbook The Management and Control of Quality by Evans and Lindsay 6th

  1. Defining Forage Quality

    E-Print Network [OSTI]

    Muir, James; Lambert, Barry; Newman, Yoana

    2007-01-18T23:59:59.000Z

    This publication covers the definition of forage quality, the main factors affecting forage quality, and the components and importance of forage analyses. It focuses on the need for producers to understand forage quality and the factors that affect...

  2. Office of Quality Assurance

    Broader source: Energy.gov [DOE]

    The Office of Quality Assurance establishes and maintains the quality assurance (QA) policies, requirements and guidance for the Department and serves as DOE's corporate resource to ensure that products and services meet or exceed the Department’s quality objectives.

  3. Learning Communities Peer Mentor

    E-Print Network [OSTI]

    Lin, Zhiqun

    , focused communities in which students, staff, and faculty can learn and grow together. Intended Outcomes Experience -Student Evaluations Archive Materials -Reflections of Previous Peer Mentors -Learning Community Activities -Student Evaluation Archives -Former Mentor Contact list #12;Learning Communities Vision Statement

  4. Groundwater Quality Standards (Nebraska)

    Broader source: Energy.gov [DOE]

    These regulations, promulgated by the Department of Environmental Quality, contain groundwater quality standards and classifications, regulations for point sources, and provisions for remedial action.

  5. Environmental Quality: Air (Louisiana)

    Broader source: Energy.gov [DOE]

    The Department of Environmental Quality regulates air quality in Louisiana. The Department has an established a fee system for funding the monitoring, investigation and other activities required...

  6. Approved Module Information for BD1R1R, 2014/5 Module Title/Name: Managing Quality Module Code: BD1R1R

    E-Print Network [OSTI]

    Neirotti, Juan Pablo

    codes, ISO 9001, ISO/TS 16949 (Learning Outcome: 03/05) Session 05 ? Quality Models e.g. EFQM, Baldrige

  7. Proceedings of the Fifth Triennial Software Quality Forum 2000, Software for the Next Millennium, Software Quality Forum

    SciTech Connect (OSTI)

    Scientific Software Engineering Group, CIC-12

    2000-04-01T23:59:59.000Z

    The Software Quality Forum is a triennial conference held by the Software Quality Assurance Subcommittee for the Department of Energy's Quality Managers. The forum centers on key issues, information, and technology important in software development for the Nuclear Weapons Complex. This year it will be opened up to include local information technology companies and software vendors presenting their solutions, ideas, and lessons learned. The Software Quality Forum 2000 will take on a more hands-on, instructional tone than those previously held. There will be an emphasis on providing information, tools, and resources to assist developers in their goal of producing next generation software.

  8. Neural Networks ensemble for quality monitoring , M. Noyel1

    E-Print Network [OSTI]

    Boyer, Edmond

    tools of Total Quality Management (TQM). The American Production and Inventory Control Society (APICS) defines Total Quality Management as "A management approach to long-term success through customerNeural Networks ensemble for quality monitoring P. Thomas1 , M. Noyel1 , M.C. Suhner1 , P

  9. Transaction processing in a quality control laboratory

    SciTech Connect (OSTI)

    Aull, J.E.

    1990-01-01T23:59:59.000Z

    Sample receiving data is received from VAX 8700 process computer via Ethernet and saved in RDB database on VAX 11/750 lab computer for transmission of results. Data entry pretests include technician qualification and instrument verification by analysis of blind standards. Raw data are transmitted by instruments that talk to ADACS 1200 systems via microprocessors to lab computer which confirms storage to instrument operator. Results are transmitted to process computer by batch job submitted by approving supervisor. Results are archived as samples are disposed. Daily reports of sample load and results are printed. Weekly reports of technician qualification are printed. Scientist and managers retrieve results, sample status, and technician qualification reports via heirarchical menu system. 13 figs.

  10. EERE Quality Control Workshop | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S.ContaminationJulySavannah RiverSustainabilityEnergy Overview of

  11. Software Quality Assurance Control of Existing Systems

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMayDepartment of Energy Ready,Smart GridAbout Energy.gov »

  12. Maintaining Quality in a Decommissioning Environment

    SciTech Connect (OSTI)

    Attas, Michael [Atomic Energy of Canada Limited, Whiteshell Laboratories, Pinawa, Manitoba, R0E 1L0 (Canada)

    2008-01-15T23:59:59.000Z

    The decommissioning of AECL's Whiteshell Laboratories is Canada's largest nuclear decommissioning project to date. This research laboratory has operated for forty years since it was set up in 1963 in eastern Manitoba as the Whiteshell Nuclear Research Establishment, complete with 60 MW(Th) test reactor, hot cells, particle accelerators, and multiple large-scale research programs. Returning the site to almost complete green state will require several decades of steady work in combination with periods of storage-with-surveillance. In this paper our approach to maintaining quality during the long decommissioning period is explained. In this context, 'quality' includes both regulatory aspects (compliance with required standards) and business aspects (meeting the customers' needs and exceeding their expectations). Both aspects are discussed, including examples and lessons learned. The five years of development and implementation of a quality assurance program for decommissioning the WL site have led to a number of lessons learned. Many of these are also relevant to other decommissioning projects, in Canada and elsewhere: - Early discussions with the regulator can save time and effort later in the process; - An iterative process in developing documentation allows for steady improvements and input throughout the process; - Consistent 2-way communication with staff regarding the benefits of a quality program assists greatly in adoption of the philosophy and procedures; - Top-level management must lead in promoting quality; - Field trials of procedures ('beta testing') ensures they are easy to use as well as useful. Success in decommissioning the Whiteshell Laboratories depends on the successful implementation of a rigorous quality program. This will help to ensure both safety and efficiency of all activities on site, from planning through execution and reporting. The many aspects of maintaining this program will continue to occupy quality practitioners in AECL, reaping steady benefits to AECL and to its customers, the people of Canada.

  13. Quality Counts Certificate

    E-Print Network [OSTI]

    Chilek, Kevin

    2007-01-31T23:59:59.000Z

    This certificate accompanies the Quality Counts program. 1 page. It comes in packages of 25 certificates....

  14. Track 9: Quality Assurance

    Broader source: Energy.gov [DOE]

    ISM Workshop Presentations Knoxville Convention Center, Knoxville, TN August 2009 Track 9: Quality Assurance

  15. Instrumental learning within the spinal cord: further examination of the deficit observed following noncontingent shock

    E-Print Network [OSTI]

    Crown, Eric Daniel

    2000-01-01T23:59:59.000Z

    events that cannot be controlled (noncontingent events) has a deleterious effect on instrumental learning, much like exposure to inescapable shock affects escape/avoidance learning in intact animals. Experiment 1 showed that noncontingent tailshock has...

  16. Reinforcement Learning for Characterization of Hysteresis Behavior in Shape Memory Alloys, and Application to

    E-Print Network [OSTI]

    Valasek, John

    Reinforcement Learning for Characterization of Hysteresis Behavior in Shape Memory Alloys & Valasek - 2 Briefing Agenda Shape Memory Alloy Characterization and Control Learning Simulation Results Membrane Air #12;Kirkpatrick & Valasek - 4 Shape Memory Alloys (SMA) Metallic Alloys used as actuators

  17. A Case Study on Specifying Quality Requirements Using a Quality Model

    E-Print Network [OSTI]

    Wagner, Stefan

    at Siemens in which we compare the requirements resulting from apply- ing our quality model have to be transformed into useful and appropriate requirements. In this paper, we evaluate a quality study at Siemens the existing specification of a traffic control system and compare it to a new

  18. ReproducedfromJournalofEnvironmentalQuality.PublishedbyASA,CSSA,andSSSA.Allcopyrightsreserved. Ground Water Quality

    E-Print Network [OSTI]

    Simpkins, William W.

    for an unfractured till (Freeze als that preclude vertical and horizontal transport of and Cherry, 1979; JournalofEnvironmentalQuality.PublishedbyASA,CSSA,andSSSA.Allcopyrightsreserved. Ground Water Quality Fracture-Controlled Nitrate and Atrazine Transport in Four Iowa Till Units Martin F-quantify the influence of fractures on solute fate and transport using three conservative and two nonconservative tracers

  19. Stochastic Learning and Optimization

    E-Print Network [OSTI]

    Cao, Xiren

    space [56]. The fundamental elements of learning and optimization are two types of performanceXi-Ren Cao Stochastic Learning and Optimization - A Sensitivity-Based Approach With 119 Figures, 27 be easily identified. Therefore, learning techniques have to be utilized. A Brief Description of Learning

  20. DOE Lessons Learned

    Broader source: Energy.gov [DOE]

    DOE Lessons Learned Information Services Catches the Eye of Corporations and Educational Institutions

  1. Learning Transformations From Video

    E-Print Network [OSTI]

    Wang, Ching Ming

    2010-01-01T23:59:59.000Z

    on Natural Video . . . . . . . . . . . . . . . . .3 Learning Continuous Transformation from VideoProposed Video Coder

  2. On Heat and Quality Ron Zevenhoven

    E-Print Network [OSTI]

    Zevenhoven, Ron

    is enough for me. But regretably I did also learn how to control and manipulate by not doing anything, how of talking. And that an experimental plan is more important than a project steering board. My chair has the name Engineering Thermodynamics and Modelling, with a teaching field that covers much more, as you can

  3. 1994 Ergonomics Program Quality Evaluation

    SciTech Connect (OSTI)

    Longbotham, L.; Miller, D.P.

    1995-06-01T23:59:59.000Z

    A telephone survey was conducted to evaluate the quality of service provided to the primary customers of the Corporate Ergonomics Group (CEG). One hundred clients who received services between October 1993 and June 1994 were asked questions on their expectations, implementation of ergonomic recommendations, follow-ups, time required, productivity improvements, symptom alleviation, and satisfaction. Suggestions on how processes could be improved were also solicited. In general, recommendations are being implemented, worksite evaluations are going smoothly, and customers are satisfied with the process. The CEG was pleased to learn that half of the people who implemented recommendations experienced improvements in productivity, and four out of five symptomatic customers experienced partial or complete relief. Through analysis of the data and by studying clients` suggestions for process improvement, the CEG has developed a strategy for changing and improving current procedures and practices. These plans can be found in the last section of this report.

  4. Household Water Quality Home Water Quality Problems

    E-Print Network [OSTI]

    Liskiewicz, Maciej

    Household Water Quality Home Water Quality Problems­ Causes and Treatments Blake Ross, Extension impurities can be corrected if they are a nuisance. Before beginning any treatment plan, have water tested select the most effective and economical treatment method. www.ext.vt.edu Produced by Communications

  5. Soil Quality Information Sheet Rangeland Soil Quality--

    E-Print Network [OSTI]

    Soil Quality Information Sheet Rangeland Soil Quality-- Physical and Biological Soil Crusts USDA, Natural Resources Conservation Service May 2001 Rangeland Sheet 7 What are soil crusts? A physical crust is a thin layer with reduced porosity and increased density at the surface of the soil. A biological crust

  6. Lessons Learned | Department of Energy

    Energy Savers [EERE]

    Lessons Learned Lessons Learned The Department of Energy utilizes project management lessons learned (PMLL) in the execution of DOE capital asset projects to improve current and...

  7. General Water Quality (Oklahoma)

    Broader source: Energy.gov [DOE]

    The purpose of this water quality rule is to protect, maintain and improve the quality of waters of the State. Any applicant for a federal license, permit or project to conduct any activity...

  8. State Water Quality (Virginia)

    Broader source: Energy.gov [DOE]

    It is the policy of the Commonwealth of Virginia to: (1) protect existing high quality state waters and restore the quality of all other state waters to permit all reasonable public uses and...

  9. Quality Assurance Project Plan

    SciTech Connect (OSTI)

    Holland, R. C.

    1998-06-01T23:59:59.000Z

    This Quality Assurance Project Plan documents the quality assurance activities for the Wastewater/Stormwater/Groundwater and Environmental Surveillance Programs. This QAPP was prepared in accordance with DOE guidance on compliance with 10CFR830.120.

  10. Quality of service profiling

    E-Print Network [OSTI]

    Misailovic, Sasa

    Many computations exhibit a trade off between execution time and quality of service. A video encoder, for example, can often encode frames more quickly if it is given the freedom to produce slightly lower quality video. A ...

  11. Downhole steam quality measurement

    DOE Patents [OSTI]

    Lee, David O. (Albuquerque, NM); Montoya, Paul C. (Albuquerque, NM); Muir, James F. (Albuquerque, NM); Wayland, Jr., J. Robert (Albuquerque, NM)

    1987-01-01T23:59:59.000Z

    An empirical method for the remote sensing of steam quality that can be easily adapted to downhole steam quality measurements by measuring the electrical properties of two-phase flow across electrode grids at low frequencies.

  12. Quality assurance for gamma knives

    SciTech Connect (OSTI)

    Jones, E.D.; Banks, W.W.; Fischer, L.E. [Lawrence Livermore National Lab., CA (United States)

    1995-09-01T23:59:59.000Z

    This report describes and summarizes the results of a quality assurance (QA) study of the Gamma Knife, a nuclear medical device used for the gamma irradiation of intracranial lesions. Focus was on the physical aspects of QA and did not address issues that are essentially medical, such as patient selection or prescription of dose. A risk-based QA assessment approach was used. Sample programs for quality control and assurance are included. The use of the Gamma Knife was found to conform to existing standards and guidelines concerning radiation safety and quality control of external beam therapies (shielding, safety reviews, radiation surveys, interlock systems, exposure monitoring, good medical physics practices, etc.) and to be compliant with NRC teletherapy regulations. There are, however, current practices for the Gamma Knife not covered by existing, formalized regulations, standards, or guidelines. These practices have been adopted by Gamma Knife users and continue to be developed with further experience. Some of these have appeared in publications or presentations and are slowly finding their way into recommendations of professional organizations.

  13. Apparatus and method for combusting low quality fuel

    DOE Patents [OSTI]

    Brushwood, John Samuel; Pillsbury, Paul; Foote, John; Heilos, Andreas

    2003-11-04T23:59:59.000Z

    A gas turbine (12) capable of combusting a low quality gaseous fuel having a ratio of flammability limits less than 2, or a heat value below 100 BTU/SCF. A high quality fuel is burned simultaneously with the low quality fuel to eliminate instability in the combustion flame. A sensor (46) is used to monitor at least one parameter of the flame indicative of instability. A controller (50) having the sensor signal (48) as input is programmed to control the relative flow rates of the low quality and high quality fuels. When instability is detected, the flow rate of high quality fuel is automatically increased in relation to the flow rate of low quality fuel to restore stability.

  14. Weighted control systems

    E-Print Network [OSTI]

    Al-Radhi, Adhi Omar

    1974-01-01T23:59:59.000Z

    ) 50 3-10 Defects per Unit Control Charts (Sudden Increase in Number of Defects) 51 3-11 Defects per Unit Control Charts (Slow Increase in Number of Defects) 52 3-12 O. C. Curves of Fraction Defectives Control Charts. 54 3-13 O. C. Curves.... The exponential smoothing principle was introduced to quality control field in 1959. It was first adapted in the mean control chart [25]. Through this control system, the most recent information is weighted and combined with the weighted past observations. 10...

  15. Team Structure and Quality Improvement in Collaborative Environments

    E-Print Network [OSTI]

    Eppstein, Margaret J.

    Team Structure and Quality Improvement in Collaborative Environments Narine Manukyan Department@vtoxford.org Abstract-- Teams comprising diverse individuals have been shown to increase the collective creativity in complex environments, it is not clear whether team diversity will help or hinder effective learning

  16. Lessons learned on the UMTRA Project

    SciTech Connect (OSTI)

    Not Available

    1991-02-01T23:59:59.000Z

    This report has been compiled as part of the Technical Assistance Contractor's (TAC's) continuing efforts to improve the quality of its product to the US Department of Energy (DOE), and to reduce the costswhile maintaining a standard of excellence on the Uranium Mill Tailings Remedial Action (UMTRA) Project. The report documents the lessons learned and the steps taken to benefit the project as a result. This study has multiple objectives, which fall under the following hierarchy: To examine and evaluate past successes and mistakes. To provide a record of lessons learned for the benefit and orientation of future staffmembers. To identify shortcomings of, and desired improvements to, current UMTRA Project practices and procedures. To establish a means for the future review and dissemination of lessons learned.

  17. Democratic Quality in Stable Democracies

    E-Print Network [OSTI]

    Lijphart, Arend

    2011-01-01T23:59:59.000Z

    MEASURING DEMOCRACY Democratic Quality in Stable Democraciesto measure democratic quality in terms of the purpose of1971). Measuring the quality of democracy requires two prior

  18. Waste Management Quality Assurance Plan

    E-Print Network [OSTI]

    Waste Management Group

    2006-01-01T23:59:59.000Z

    Revision 6 Waste Management Quality Assurance Plan Waste6 WM QA Plan Waste Management Quality Assurance Plan LBNL/4 Management Quality Assurance

  19. Incorporating Learning Styles in a Computer-Supported Collaborative Learning

    E-Print Network [OSTI]

    Griffiths, Nathan

    they think and learn. Roschelle and Teasley focus more on the nature of interaction in collaborative learning a specific problem. Student reading groups for language learning courses are an example of learning groupsIncorporating Learning Styles in a Computer-Supported Collaborative Learning Model Shuangyan Liua

  20. Project Learning I. What are the "Lessons Learned"

    E-Print Network [OSTI]

    Christian, Eric

    Project Learning I. What are the "Lessons Learned" requirements? II. How of a Lessons Learned Plan · Project Learning Processes · Timeline of Project Learning Ac;5/4/2012 11 #12;Timeline of AcYviYes · Review lessons learned from other relevant

  1. Learning control policies from constrained motion 

    E-Print Network [OSTI]

    Howard, Matthew

    2009-01-01T23:59:59.000Z

    Many everyday human skills can be framed in terms of performing some task subject to constraints imposed by the task or the environment. Constraints are usually unobservable and frequently change between contexts. In ...

  2. Harm reduction: lessons learned from tobacco control

    E-Print Network [OSTI]

    10­15 seconds (Shiffman et al., 2005). This generates marked arterial spikes of nicotine con not substantially reduce tar exposure (Jarvis et al., 2001; Hecht et al., 2005;), since the tar and nicotine content

  3. Air Pollution Control Board (Virginia) | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    Air Division in the Department of Environmental Quality and the State Air Pollution Control Board work together to control present and future sources of air pollution. The...

  4. JPEG Quality Transcoding using Neural Networks Trained with a Perceptual Error Measure

    E-Print Network [OSTI]

    Lazzaro, John

    JPEG Quality Transcoding using Neural Networks Trained with a Perceptual Error Measure John Lazzaro@cs.berkeley.edu Abstract A JPEG Quality Transcoder (JQT) converts a JPEG image file that was encoded with low image quality users direct control over the compression process, supporting trade- offs between image quality

  5. Perceptual quality assessment for compressed video

    E-Print Network [OSTI]

    Yang, Kai-Chieh

    2007-01-01T23:59:59.000Z

    5 Perceptual Temporal Quality Metric (Frame Interpolation Quality Metric . . . . . . . . . . . .Overview of Video Quality Assessment . . . . . . . . . . . .

  6. Cycle Track Lessons Learned

    E-Print Network [OSTI]

    Bertini, Robert L.

    Cycle Track Lessons Learned #12;Presentation Overview · Bicycling trends · Cycle track lessons learned · What is a "Cycle track"? · Essential design elements of cycle tracks Separation Width Crossing

  7. Learning poisson binomial distributions

    E-Print Network [OSTI]

    Daskalakis, Constantinos

    We consider a basic problem in unsupervised learning: learning an unknown Poisson Binomial Distribution. A Poisson Binomial Distribution (PBD) over {0,1,...,n} is the distribution of a sum of n independent Bernoulli random ...

  8. What is Continual Learning?

    Broader source: Energy.gov [DOE]

    Continual Learning is a change initiative which is used to help develop and grow a learning culture within DOE. Employee development in any organization and at any level is never ending.

  9. Specific Learning Difficulties

    E-Print Network [OSTI]

    Anderson, Jim

    Dyslexia and other Specific Learning Difficulties (SpLDs) A guide for tutors Enabling Services Supporting you to succeed #12;2 Contents Dyslexia Support ............................................................................................................ 3 Recognising students with dyslexia or other specific learning difficulties................. 4

  10. Machine LearningMachine Learning Stephen Scott

    E-Print Network [OSTI]

    Scott, Stephen D.

    represents if-then rules num-of-wheelsnon-truck hauls-cargo relative-height truck yesno non-truck non-truck about trucks & combines Memorizes: But will he recognize others? #12;1/21/2004 Stephen Scott, Univ is MachineAgain, what is Machine Learning?Learning? Given several labeled examples of a concept ­ E.g. trucks

  11. Learning and risk aversion

    E-Print Network [OSTI]

    Oyarzun, Carlos

    2009-06-02T23:59:59.000Z

    This dissertation contains three essays on learning and risk aversion. In the first essay we consider how learning may lead to risk averse behavior. A learning rule is said to be risk averse if it is expected to add more probability to an action...

  12. SUNY Programs: Experiential Learning

    E-Print Network [OSTI]

    Suzuki, Masatsugu

    SUNY Programs: Experiential Learning Internships Volunteer & Service-Learning Field Work quite broad, although the offerings are more limited than the programs in the general section. Teaching the programs with experiential learning opportunities offered by SUNY campuses. These listings give just

  13. Learning to change, changing to learn : district conditions for organizational learning

    E-Print Network [OSTI]

    Guthrie, Victor Anthony

    2011-01-01T23:59:59.000Z

    are each focused on student learning. ” By their reports,2011). The focused theme of students learning continues and

  14. The use case specification of actions in the goal oriented knowledge based learning environment

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    an adaptive control of the enhanced learning process according to the requirements of student's knowledge place the learning style preferred by the student, then suitable methodologies which allow performing and support a new paradigm focused on knowledge construction using experiential and collaborative learning

  15. On the Role of Update Constraints and TextTypes in Iterative Learning

    E-Print Network [OSTI]

    Stephan, Frank

    On the Role of Update Constraints and Text­Types in Iterative Learning Sanjay Jain 1,# , Timo learning considers therefore the usage of class­preserving one­one hypothesis spaces which limit this type of coding during the learning process. Other ways to limit it is to control the amount and types of updates

  16. Using Simulation to Model and Understand Group Learning Maartje Spoelstra1,2

    E-Print Network [OSTI]

    Sklar, Elizabeth

    Using Simulation to Model and Understand Group Learning Maartje Spoelstra1,2 and Elizabeth Sklar3 1 to construct computational models that act as controllers for agents acting in a simulated learning en-invasive experiments on the design of learning environments. Keywords: multi-agent simulation, education, group

  17. Complex information, such as that required for motor skills, can be learned implicitly,

    E-Print Network [OSTI]

    Curran, Tim

    Complex information, such as that required for motor skills, can be learned implicitly, without learning revealed by the method of opposition TRENDS in Cognitive Sciences Vol.5 No.12 December 2001 http://tics.trends learning that is amenable to laboratory control (reviewed in Refs 3,4). Experimental participants typically

  18. Towards Machine Learning of Motor Skills Jan Peters1,2

    E-Print Network [OSTI]

    Schaal, Stefan

    Towards Machine Learning of Motor Skills Jan Peters1,2 , Stefan Schaal2 and Bernhard Sch¨olkopf1 (1 in the growing wake of machine learn- ing that promised fully adaptive control algorithms which learn both the new upcoming trend of humanoid robotics, and usually scaling was only achieved in precisely pre

  19. Lessons Learned

    SciTech Connect (OSTI)

    Dougan, A D; Blair, S

    2006-11-14T23:59:59.000Z

    LLNL turned in 5 Declaration Line Items (DLI's) in 2006. Of these, one was declared completed. We made some changes to streamline our process from 2005, used less money, time and fewer team members. This report is a description of what changes we made in 2006 and what we learned. Many of our core review team had changed from last year, including our Laboratory Director, the Facility safety and security representatives, our Division Leader, and the OPSEC Committee Chair. We were able to hand out an AP Manual to some of them, and briefed all newcomers to the AP process. We first went to the OPSEC Committee and explained what the Additional Protocol process would be for 2006 and solicited their help in locating declarable projects. We utilized the 'three questions' from the AP meeting last year. LLNL has no single place to locate all projects at the laboratory. We talked to Resource Managers and key Managers in the Energy and Environment Directorate and in the Nonproliferation Homeland and International Security Directorate to find applicable projects. We also talked to the Principal Investigators who had projects last year. We reviewed a list of CRADA's and LDRD projects given to us by the Laboratory Site Office. Talking to the PI's proved difficult because of vacation or travel schedules. We were never able to locate one PI in town. Fortunately, collateral information allowed us to screen out his project. We had no problems in downloading new versions of the DWA and DDA. It was helpful for both Steve Blair and Arden Dougan to have write privileges. During the time we were working on the project, we had to tag-team the work to allow for travel and vacation schedules. We had some difficulty locating an 'activities block' in the software. This was mentioned as something we needed to fix from our 2005 declaration. Evidently the Activities Block has been removed from the current version of the software. We also had trouble finding the DLI Detail Report, which we included in our signature process last year. This report had been inadvertently omitted from the version of the software we used. We typed our own version of the Detail Report and the package was sent to signature. The final software was not available in time to include the DLI Report. We streamlined our review process for the Technical and Security Reviews by sending one letter to each entity instead of getting separate approvals from the subordinates, then getting an approval from the lead reviewer. The Review process took 20 days, far shorter than the 6 weeks it required last year. It will be difficult to shorten the process much more. One of our projects had associated laboratory work at NIF. This required many discussions with NIF management during the review process and before their paperwork came to them for signature since they were not aware of the Additional Protocol.

  20. Quality assurance and data management

    SciTech Connect (OSTI)

    Lockrem, L.L.

    1998-01-12T23:59:59.000Z

    This report contains graphs and tables relating to quality assurance and data management for environmental quality at Hanford Reservation.

  1. Protocol for secure quantum machine learning at a distant place

    E-Print Network [OSTI]

    Jeongho Bang; Seung-Woo Lee; Hyunseok Jeong

    2015-04-20T23:59:59.000Z

    The application of machine learning to quantum information processing has recently attracted keen interest, particularly for the optimization of control parameters in quantum tasks without any pre-programmed knowledge. By adapting the machine learning technique, we present a novel protocol in which an arbitrarily initialized device at a learner's location is taught by a provider located at a distant place. The protocol is designed such that any external learner who attempts to participate in or disrupt the learning process can be prohibited or noticed. We numerically demonstrate that our protocol works faithfully for single-qubit operation devices. A tradeoff between the inaccuracy and the learning time is also analyzed.

  2. Control Systems & LEED

    SciTech Connect (OSTI)

    Cooperman, Alissa; Dieckmann, John; Brodrick, James

    2012-06-01T23:59:59.000Z

    This article discusses the LEED guidelines (2009 v3), and corresponding points, that can only be attained using control systems for lighting, HVAC, and/or the entire building. Integrating and centralizing control systems allows for better building management, energy savings and can potentially award 29 points towards certification across the following categories: Sustainable Sites, Energy & Atmosphere, and Indoor Air Quality. In closing, potential energy savings are highlighted and the overall market potential for control systems are summarized.

  3. Fiber optic quality assurance at the Nevada Test Site

    SciTech Connect (OSTI)

    Manning, J.; Baumgart, S.; Malone, R.; Thayer, D.

    1981-01-01T23:59:59.000Z

    A large number of fiber optic cables were used in support of a neutron imaging experiment at the Nevada Test Site. This paper describes the quality control testing of fiber components used on this experiment. The principal reason for quality control testing was to ensure reliable, high transmission fibers; a secondary reason was to gain data on a large sample of fiber cables in the field. Also described is the instrumentation developed for carrying out these field measurements. The design of the quality control instrumentation was a compromise between accuracy and simplicity of use.

  4. Downhole steam quality measurement

    DOE Patents [OSTI]

    Lee, D.O.; Montoya, P.C.; Muir, J.F.; Wayland, J.R. Jr.

    1985-06-19T23:59:59.000Z

    The present invention relates to an empirical electrical method for remote sensing of steam quality utilizing flow-through grids which allow measurement of the electrical properties of a flowing two-phase mixture. The measurement of steam quality in the oil field is important to the efficient application of steam assisted recovery of oil. Because of the increased energy content in higher quality steam it is important to maintain the highest possible steam quality at the injection sandface. The effectiveness of a steaming operation without a measure of steam quality downhole close to the point of injection would be difficult to determine. Therefore, a need exists for the remote sensing of steam quality.

  5. Learning During Stressful Times Tracey J. Shors

    E-Print Network [OSTI]

    Shors, Tracey J.

    profound effects on our cognitive and motor abilities, from those that could be construed as adaptive be that stress impairs learning--or does it? In this review, I describe some basic trends in studies that have; Seligman and Maier 1967). Those that were exposed to the same amount of shock, but had control over it

  6. Demand Controlled Ventilation for Improved Humidity Control

    E-Print Network [OSTI]

    Rogers, J. K.

    1996-01-01T23:59:59.000Z

    Demand Controlled Ventilation for Improved Humidity Control James K. Rogers, P.E. One Blacksmith Road Chelmsford, Massachusetts ABSTRACT Recently introduced technology makes it possible to continuously monitor for humidity in numerous... is brought in for ventilation. The high "latent load" inherent in this hot, humid outside air is often the reason for installing excess chiller capacity and the cause of peak power demands. Recent concerns over poor indoor air quality (IAQ) due...

  7. Louisiana Hazardous Waste Control Law (Louisiana)

    Broader source: Energy.gov [DOE]

    The Louisiana Department of Environmental Quality is responsible for administering the Louisiana Hazardous Waste Control Law and the regulations created under that law.

  8. Implantation of an on-line quality process monitoring Mlanie NOYEL, Philippe THOMAS, Patrick

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    this quality monitoring system and to correct neural classifier, a control charts is used to highlight]. This importance is underlined by the huge of methods to manage this quality. One of them is the SPC (Statistical

  9. Environmental Quality (Nebraska)

    Broader source: Energy.gov [DOE]

    This section establishes the policy of the state to be the conservation, protection, and restoration of the state's natural resources. The Department of Environmental Quality is established, along...

  10. Water Quality Standards (Ohio)

    Broader source: Energy.gov [DOE]

    This chapter of the law that establishes the Ohio Environmental Protection Agency outlines the minimum water quality requirements for all surface waters of the state.

  11. Statistical Learning Theory of Protein Dynamics

    E-Print Network [OSTI]

    Haas, Kevin

    2013-01-01T23:59:59.000Z

    integrated statistical learning and simulation approach tomolecular simulation, using statistical learning theory tomolecular simulation and statistical learning theory of

  12. Hanford Tanks Initiative quality assurance implementation plan

    SciTech Connect (OSTI)

    Huston, J.J.

    1998-06-23T23:59:59.000Z

    Hanford Tanks Initiative (HTI) Quality Assurance Implementation Plan for Nuclear Facilities defines the controls for the products and activities developed by HTI. Project Hanford Management Contract (PHMC) Quality Assurance Program Description (QAPD)(HNF-PRO599) is the document that defines the quality requirements for Nuclear Facilities. The QAPD provides direction for compliance to 10 CFR 830.120 Nuclear Safety Management, Quality Assurance Requirements. Hanford Tanks Initiative (HTI) is a five-year activity resulting from the technical and financial partnership of the US Department of Energy`s Office of Waste Management (EM-30), and Office of Science and Technology Development (EM-50). HTI will develop and demonstrate technologies and processes for characterization and retrieval of single shell tank waste. Activities and products associated with HTI consist of engineering, construction, procurement, closure, retrieval, characterization, and safety and licensing.

  13. Fluidization quality analyzer for fluidized beds

    DOE Patents [OSTI]

    Daw, C. Stuart (Knoxville, TN); Hawk, James A. (Oak Ridge, TN)

    1995-01-01T23:59:59.000Z

    A control loop and fluidization quality analyzer for a fluidized bed utilizes time varying pressure drop measurements. A fast-response pressure transducer measures the overall bed pressure drop, or over some segment of the bed, and the pressure drop signal is processed to produce an output voltage which changes with the degree of fluidization turbulence.

  14. Water Quality: Its Relationship to Livestock

    E-Print Network [OSTI]

    Faries Jr., Floron C.; Sweeten, John M.; Reagor, John C.

    1998-06-30T23:59:59.000Z

    . From: Herrick, J.B., Water Quality for Animals toxins (poisons). To control algae in storage tanks, reduce the introduced organic pollu- tion and exclude light. Disin- fect water storage tanks by adding 1 ounce of chlorine bleach per 30 gallons of water...

  15. www.usask.ca/learning_charter OurLearningVision

    E-Print Network [OSTI]

    Saskatchewan, University of

    other institutions of learning. Our students undertake programs of many different types and durations types: Discovery,Knowledge, Integrity,Skills, and Citizenship. Core Learning Goals · Apply critical1 www.usask.ca/learning_charter OurLearningVision The University of Saskatchewan Learning Charter

  16. Assessment of Potential Contribution of Woodland Creation to Mitigating the Impacts of Agriculture on Water Quality

    E-Print Network [OSTI]

    PLANTS WATER TRE WATER QUALITY MONITORING NETWORK I Central Pollution Control Board (CPCB) hasEF) promotes basin-wide pollution control strategies. It liaises with State Water Pollution Control BoardsWater Resources TD 603 Lecture 1: Water Quality and Water Treatment CTARA Indian Institute

  17. Agriculture and Environmental Quality

    E-Print Network [OSTI]

    Ma, Lena

    ALS 3133 Agriculture and Environmental Quality 3 credits Spring 2014 Instructor Susan Curry scurry://lss.at.ufl.edu Overview: Analysis of the effects of agriculture on environmental quality with emphasis on agricultural wastes and practices, the potential for using agricultural systems for disposal of other wastes

  18. Air Quality Chapter Outline

    E-Print Network [OSTI]

    Wechsler, Risa H.

    Chapter 30 Air Quality Chapter Outline 1 Overview 2 1.1 Hazards / Impacts 2 1.2 Exposure Sources 3 Manual Chapter 30: Air Quality 7 References 20 8 Implementation 21 9 Ownership 22 1 Overview SLAC operations produce a wide range of air emissions. Sources of emissions include standard equipment

  19. GPA CALCULATION GPA = QUALITY POINTS DIVIDED BY QUALITY HOURS

    E-Print Network [OSTI]

    Lawrence, Rick L.

    . THIS IS THE TOTAL QUALITY POINTS THAT YOU THINK YOU WILL EARN THIS SEMESTER. TO PLAY WHAT IFGPA CALCULATION WORKSHEET GPA = QUALITY POINTS DIVIDED BY QUALITY HOURS #1 QUALITY HOURS (THROUGH LAST TERM) = __________ #2 QUALITY POINTS (THROUGH LAST TERM) = __________ #3 QUALTIY HOURS CURRENTLY

  20. Software Quality Model Requirements for Software Quality Engineering

    E-Print Network [OSTI]

    Suryn, Witold

    Quality Engineering needs a quality model that is usable throughout the software lifecycle, systematic, disciplined, quantifiable approach to the development and maintenance of quality of softwareSoftware Quality Model Requirements for Software Quality Engineering Marc-Alexis Côté M. Ing (marc

  1. Software quality assurance (SQA) for Savannah River reactors

    SciTech Connect (OSTI)

    Schaumann, C.M.

    1990-01-01T23:59:59.000Z

    Over the last 25 years, the Savannah River Site (SRS) has developed a strong Software Quality Assurance (SQA) program. It provides the information and management controls required of a high quality auditable system. The SRS SQA program provides the framework to meet the requirements in increasing regulation.

  2. Quality Assurance Program Plan for radionuclide airborne emissions monitoring

    SciTech Connect (OSTI)

    Vance, L.M.

    1993-07-01T23:59:59.000Z

    This Quality Assurance Program Plan (QAPP) describes the quality assurance requirements and responsibilities for radioactive airborne emissions measurements activities from regulated stacks are controlled at the Hanford Site. Detailed monitoring requirements apply to stacks exceeding 1% of the standard of 10 mrem annual effective dose equivalent to the maximally exposed individual from operations of the Hanford Site.

  3. Occupant satisfaction with indoor environmental quality in green buildings

    E-Print Network [OSTI]

    Abbaszadeh, S.; Zagreus, Leah; Lehrer, D.; Huizenga, C

    2006-01-01T23:59:59.000Z

    of lighting complaints in the two main comparison groups.the lighting control profiles in the two comparison groups.lighting and acoustic quality in green buildings do not show a significant improvement in comparison

  4. Master Pump Shutdown MPS Software Quality Assurance Plan (SQAP)

    SciTech Connect (OSTI)

    BEVINS, R.R.

    2000-09-20T23:59:59.000Z

    The MPSS Software Quality Assurance (SQAP) describes the tools and strategy used in the development of the MPSS software. The document also describes the methodology for controlling and managing changes to the software.

  5. Machine Learning: Foundations and Algorithms

    E-Print Network [OSTI]

    Ben-David, Shai

    with accident prevention systems that are built using machine learning algorithms. Machine learning is also to us). Machine learning tools are concerned with endowing programs with the ability to "learn if the learning process succeeded or failed? The second goal of this book is to present several key machine

  6. Learning Demonstration Interim Progress Report -- July 2010

    SciTech Connect (OSTI)

    Wipke, K.; Spirk, S.; Kurtz, J.; Ramsden, T.

    2010-09-01T23:59:59.000Z

    This report discusses key results based on data through December 2009 from the U.S. Department of Energy's (DOE) Controlled Hydrogen Fleet and Infrastructure Validation and Demonstration Project, also referred to as the National Fuel Cell Electric Vehicle (FCEV) Learning Demonstration. The report serves to help transfer knowledge and lessons learned within various parts of DOE's hydrogen program, as well as externally to other stakeholders. It is the fourth such report in a series, with previous reports being published in July 2007, November 2007, and April 2008.

  7. timber quality Modelling and forecasting

    E-Print Network [OSTI]

    Forest and timber quality in Europe Modelling and forecasting yield and quality in Europe Forest and timber quality in Europe Modelling and forecasting yield and quality in Europe M E F Y Q U E #12;Valuing and the UK ­ are working closely together to develop a model to help forecast timber growth, yield, quality

  8. Software quality assurance handbook

    SciTech Connect (OSTI)

    Not Available

    1990-09-01T23:59:59.000Z

    There are two important reasons for Software Quality Assurance (SQA) at Allied-Signal Inc., Kansas City Division (KCD): First, the benefits from SQA make good business sense. Second, the Department of Energy has requested SQA. This handbook is one of the first steps in a plant-wide implementation of Software Quality Assurance at KCD. The handbook has two main purposes. The first is to provide information that you will need to perform software quality assurance activities. The second is to provide a common thread to unify the approach to SQA at KCD. 2 figs.

  9. Designing for Learning: Multiplayer Digital Game Learning Environments

    E-Print Network [OSTI]

    Kim, Chung

    2010-01-01T23:59:59.000Z

    supercharged! : learning physics with digital simulationsimulations, computer games, and pedagogy in e-learning andlearning environment based on the blending microworlds, simulations,

  10. EIS-0127: New Energy-Efficient Homes Programs, Assessing Indoor Air Quality Options

    Broader source: Energy.gov [DOE]

    The Bonneville Power Administration developed this EIS to explore whether different building techniques will control indoor air quality and still maintain cost-effective energy savings.

  11. Management Controls for Small Ranches.

    E-Print Network [OSTI]

    Maddox, L. A. Jr.

    1974-01-01T23:59:59.000Z

    to operate their cattle business as efficiently as possible. Pro- duction, quality and cost control records can be assembled to help make decisions more accu- rately. Some problems still require a cowman's "sixth sense" until better measures... of productivity and quality control are developed. Many small cow-calf operators are looking for practical records and summaries that will help them 'Extensioti beef cattle specialist, The Texas A&M University System. make decisions affecting the future...

  12. ALFA Detector Control System

    E-Print Network [OSTI]

    Oleiro Seabra, Luis Filipe; The ATLAS collaboration

    2015-01-01T23:59:59.000Z

    ALFA (Absolute Luminosity For ATLAS) is one of the sub-detectors of ATLAS/LHC. The ALFA system is composed by two stations installed in the LHC tunnel 240 m away from each side of the ATLAS interaction point. Each station has a vacuum and ventilation system, movement control and all the required electronic for signal processing. The Detector Control System (DCS) provides control and monitoring of several components and ensures the safe operation of the detector contributing to good Data Quality. This paper describes the ALFA DCS system including a detector overview, operation aspects and hardware control through a SCADA system, WinCC OA.

  13. ALFA Detector Control System

    E-Print Network [OSTI]

    Oleiro Seabra, Luis Filipe; The ATLAS collaboration

    2015-01-01T23:59:59.000Z

    ALFA (Absolute Luminosity For ATLAS) is one of the sub-detectors of ATLAS (A Toroidal LHC Apparatus). The ALFA system is composed by four stations installed in the LHC tunnel 240 m away from the ATLAS interaction point. Each station has a vacuum and ventilation system, movement control and all the required electronics for signal processing. The Detector Control System (DCS) provides control and monitoring of several components and ensures the safe operation of the detector contributing to good Data Quality. This paper describes the ALFA DCS system including a detector overview, operation aspects and hardware control through a SCADA system, WinCC OA.

  14. Quantum control theory and applications: A survey

    E-Print Network [OSTI]

    Daoyi Dong; Ian R Petersen

    2011-01-10T23:59:59.000Z

    This paper presents a survey on quantum control theory and applications from a control systems perspective. Some of the basic concepts and main developments (including open-loop control and closed-loop control) in quantum control theory are reviewed. In the area of open-loop quantum control, the paper surveys the notion of controllability for quantum systems and presents several control design strategies including optimal control, Lyapunov-based methodologies, variable structure control and quantum incoherent control. In the area of closed-loop quantum control, the paper reviews closed-loop learning control and several important issues related to quantum feedback control including quantum filtering, feedback stabilization, LQG control and robust quantum control.

  15. reprinted from Learning through Multimedia

    E-Print Network [OSTI]

    Boyer, Edmond

    reprinted from Learning through Multimedia Roy D. Pea Institute for Research on Learning #12;Learning through Multimedia Roy D. Pea Institute for Research on writinguniteswritersandreaders.Society might come to regard multimedia literacy as essential as writing is today

  16. Prerequisites: Control Systems I+II, Engine Class (IC Engines and Propulsion Systems, Introduction to

    E-Print Network [OSTI]

    Daraio, Chiara

    to Modeling and Control of Internal Combustion Engine Systems,...), Model Predictive Control, Matlab Iterative Learning Control for Internal Combustion Engines Modeling and Control Description: In classical. The objective of this work is to apply learning algorithms to highly dynamic internal combustion engines

  17. Air Quality (Nova Scotia, Canada)

    Broader source: Energy.gov [DOE]

    Nova Scotia Environment is responsible for monitoring the air quality in the province, as well as administering fines and permits relating to air quality. The Air Quality Regulations state...

  18. Water Quality Criteria Introduction ....................................................................................................................................798

    E-Print Network [OSTI]

    Pitt, Robert E.

    APPENDIX G Water Quality Criteria CONTENTS Introduction ....................................................................................................................................798 EPA's Water Quality Criteria and Standards Plan -- Priorities for the Future............................798 Compilation of Recommended Water Quality Criteria and EPA's Process for Deriving New

  19. Decision and regression tree ensemble methods and their applications in automatic learning

    E-Print Network [OSTI]

    Wehenkel, Louis

    area control of power systems Computer vision based quality control Proteomics biomarker identification Part I Some applications Steal-mill control Wide area control of power systems Computer vision based Trees et al. (2/52) #12;Some applications Steal-mill control Wide area control of power systems Computer

  20. Quality Management and Job Quality: How the ISO 9001 Standard forQuality Management Systems Affects Employees and Employers

    E-Print Network [OSTI]

    Levine, David I.; Toffel, Michael W.

    2008-01-01T23:59:59.000Z

    disorders and workplace Quality Management and Job Qualitycharacteristics, Total Quality Management, and financialfirms with effective Quality Management and Job Quality TQM

  1. Software Quality Assurance

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2000-10-02T23:59:59.000Z

    To define requirements and responsibilities for software quality assurance (SQA) within the Department of Energy (DOE). DOE N 251.40, dated 5/3/01, extends this directive until 12/31/01.

  2. Software Quality Assurance

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2000-10-02T23:59:59.000Z

    DOE N 251.40, dated 5/3/01, extends this directive until 12/31/01. To define requirements and responsibilities for software quality assurance (SQA) within the Department of Energy (DOE). Does not cancel other directives.

  3. Evaluating Cotton Seed Quality

    E-Print Network [OSTI]

    Boman, Randy

    2005-10-05T23:59:59.000Z

    High-quality cotton seed is critical for establishing good stands. Over the last several years, producers have scrutinized costs and benefits of numerous new cotton varieties. With the increase in cost of most current cotton varieties and the use...

  4. Quality Jobs Program (Louisiana)

    Broader source: Energy.gov [DOE]

    The Quality Jobs Program provides a cash rebate to companies that create well-paid jobs and promote economic development. Benefits include a 5-6% cash rebate of annual gross payroll for new,...

  5. Power Quality Implications

    E-Print Network [OSTI]

    Hilson, D.

    Electric utilities in the United States spend in excess of one billion dollars annually to maintain or improve the quality of electric power supplied to their customers. Yet, an increasing and alarming number of complaints are being voiced...

  6. Quality Assurance Specialist

    Broader source: Energy.gov [DOE]

    This position is located in the Office of the Assistant Secretary for Environmental Management (EM), Office of the Deputy Assistant Secretary for Safety, Security and Quality Programs, Office of...

  7. Hydrogen Fuel Quality (Presentation)

    SciTech Connect (OSTI)

    Ohi, J.

    2007-05-17T23:59:59.000Z

    Jim Ohi of NREL's presentation on Hydrogen Fuel Quality at the 2007 DOE Hydrogen Program Annual Merit Review and Peer Evaluation on May 15-18, 2007 in Arlington, Virginia.

  8. Optimization Online - Enclosing Machine Learning

    E-Print Network [OSTI]

    Wei Xunkai

    2007-10-20T23:59:59.000Z

    Oct 20, 2007 ... Abstract: This report introduces a new machine learning paradigm called enclosing machine learning for data mining. This novel method ...

  9. Treat Teaching as Learned Profession

    E-Print Network [OSTI]

    Helen Duffy

    2004-01-01T23:59:59.000Z

    a Difference ACCORD UC/ Treat Teaching as Learned ProfessionPublic Policy Series PB-009-1104 Treat Teaching as Learned

  10. Towards more human-like concept learning in machines : compositionality, causality, and learning-to-learn

    E-Print Network [OSTI]

    Lake, Brenden M

    2014-01-01T23:59:59.000Z

    People can learn a new concept almost perfectly from just a single example, yet machine learning algorithms typically require hundreds or thousands of examples to perform similarly. People can also use their learned concepts ...

  11. Optimum Control Limits for Employing Statistical Process Control in Software Process

    E-Print Network [OSTI]

    Jalote, Pankaj

    . In this paper, we develop a cost model for employing control charts to software process using which optimum control limits can be determined. Our applications of the model suggest that, for quality controlOptimum Control Limits for Employing Statistical Process Control in Software Process Pankaj Jalote

  12. SOFTWARE QUALITY & SYSTEMS ENGINEERING PROGRAM | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    SOFTWARE QUALITY & SYSTEMS ENGINEERING PROGRAM SOFTWARE QUALITY & SYSTEMS ENGINEERING PROGRAM System Maintenance Checklist SOFTWARE QUALITY & SYSTEMS ENGINEERING PROGRAM More...

  13. SOFTWARE QUALITY & SYSTEMS ENGINEERING PROGRAM | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    PROGRAM SOFTWARE QUALITY & SYSTEMS ENGINEERING PROGRAM Training Checklist SOFTWARE QUALITY & SYSTEMS ENGINEERING PROGRAM More Documents & Publications Quality Assurance Checklist...

  14. The Learning Environment

    E-Print Network [OSTI]

    Howard, Jeff W.

    2005-05-10T23:59:59.000Z

    As a 4-H volunteer, you have tremendous influence in determining the learning that takes place within your 4-H club or group. Adult volunteers also have the task of making the learning experiences attractive to young people. Here are some important...

  15. Residential Learning University Housing

    E-Print Network [OSTI]

    Rusu, Adrian

    Residential Learning & University Housing Handbook 2008 - 2009 A Guide for Residential Living on the Campus of Rowan University #12;Welcome to Residential Learning & University Housing! The primary purpose of the Office of Residential Life & University Housing is to assist and support students in the pursuit

  16. Water Quality Trading Program (Ohio)

    Broader source: Energy.gov [DOE]

    Water quality trading is a tool for achieving water quality improvements. Under the right circumstances, trading has the potential to yield both environmental and economic benefits, while...

  17. Nebraska Air Quality Regulations (Nebraska)

    Broader source: Energy.gov [DOE]

    These regulations, promulgated by the Department of Environmental Quality, contain provisions pertaining to ambient air quality standards, pollution source operating permits, emissions reporting,...

  18. Surface Water Quality Standards (Nebraska)

    Broader source: Energy.gov [DOE]

    These regulations, promulgated by the Department of Environmental Quality, contain surface water quality standards, stream classifications, discussion of lakes and impounded basins, and water...

  19. Quality Jobs Investment Program (Oklahoma)

    Broader source: Energy.gov [DOE]

    The Oklahoma Quality Jobs Program allows qualifying businesses which are creating new quality jobs to receive a special incentive to locate or expand in Oklahoma.

  20. Water Quality Standards Implementation (Oklahoma)

    Broader source: Energy.gov [DOE]

    The Oklahoma Department of Environmental Quality regulates Oklahoma's Water Quality Standards. The law states the requirements and standards for point source discharges. It also establishes...

  1. Ambient Air Quality Standards (Iowa)

    Broader source: Energy.gov [DOE]

    These regulations set statewide ambient air quality standards for various contaminants. The state code follows the regulations set forth in the National Primary and Secondary Ambient Air Quality...

  2. Distributed Learning in Hierarchical Networks Hel`ene Le Cadre

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    , an illustration of which is the smart grid. Smart grid management requires the control of non-renewable energy production and the integration of renewable energies which might be highly unpredictable. Indeed optimal control strategies on the non- renewable energy productions and compare competitive learning

  3. Northwestern University The Institute for the Learning Sciences

    E-Print Network [OSTI]

    Forbus, Kenneth D.

    THEORY OF SAFETY CONTROL - WHEN AND HOW TO PANIC INTELLIGENTLY Dennis DeCoste May, 1991 The Institute of Safety Control When and How to Panic Intelligently Dennis DeCoste Qualitative Reasoning Group InstituteNorthwestern University The Institute for the Learning Sciences TOWARD A QUALITATIVE THEORY

  4. Hydrogen Fuel Quality - Focus: Analytical Methods Development...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Fuel Quality - Focus: Analytical Methods Development & Hydrogen Fuel Quality Results Hydrogen Fuel Quality - Focus: Analytical Methods Development & Hydrogen Fuel Quality Results...

  5. Neural daylight control system

    E-Print Network [OSTI]

    Grif, Horatiu Stefan

    2010-01-01T23:59:59.000Z

    The paper describes the design, the implementation of a neural controller used in an automatic daylight control system. The automatic lighting control system (ALCS) attempt to maintain constant the illuminance at the desired level on working plane even if the daylight contribution is variable. Therefore, the daylight will represent the perturbation signal for the ALCS. The mathematical model of process is unknown. The applied structure of control need the inverse model of process. For this purpose it was used other artificial neural network (ANN) which identify the inverse model of process in an on-line manner. In fact, this ANN identify the inverse model of process + the perturbation signal. In this way the learning signal for neural controller has a better accuracy for the present application.

  6. Design and Certification of Industrial Predictive Controllers

    E-Print Network [OSTI]

    Dutta, Abhishek

    2014-09-24T23:59:59.000Z

    Procedure . . . . . . . . . . . . . . 4-6 4.4 Test case: Non-collocated mass-spring-damper . . . . . . . . . . 4-8 4.4.1 Mass-spring-damper setup . . . . . . . . . . . . . . . . . 4-8 4.4.2 PID control . . . . . . . . . . . . . . . . . . . . . . . . . 4-10 4... by distributed NMPC and (b): PID control. . . . . . . . . . . . . . . . . . . . . 6-15 6.7 (a): Learning the true motor damping coefficients by the distributed RLS method and (b): Robust performance of the distributed NMPC after learning the correct damping...

  7. Chemical analysis quality assurance at the ICPP

    SciTech Connect (OSTI)

    Hand, R.L.

    1990-12-31T23:59:59.000Z

    This document discusses the chemical analysis quality assurance program at the ICPP which involves records management, analytical methods quality control, analysis procedures and training and qualification. Since 1979, the major portion of the quality assurance program has been implemented on a central analytical computer system. The individual features provided by the system are storage, retrieval, and search capabilities over all general request and sample analysis information, automatic method selection for all process streams, automation of all method calculations, automatic assignment of bias and precision estimates at all analysis levels, with-method-use requalification, untrained or unqualified analyst method lockout, statistical testing of all process stream results for replicate agreement, automatic testing of process results against pre- established operating, safety, or failure limits at varying confidence levels, and automatic transfer and report of all analysis data plus all statistical testing to the Production Department.

  8. Chemical analysis quality assurance at the ICPP

    SciTech Connect (OSTI)

    Hand, R.L.

    1990-01-01T23:59:59.000Z

    This document discusses the chemical analysis quality assurance program at the ICPP which involves records management, analytical methods quality control, analysis procedures and training and qualification. Since 1979, the major portion of the quality assurance program has been implemented on a central analytical computer system. The individual features provided by the system are storage, retrieval, and search capabilities over all general request and sample analysis information, automatic method selection for all process streams, automation of all method calculations, automatic assignment of bias and precision estimates at all analysis levels, with-method-use requalification, untrained or unqualified analyst method lockout, statistical testing of all process stream results for replicate agreement, automatic testing of process results against pre- established operating, safety, or failure limits at varying confidence levels, and automatic transfer and report of all analysis data plus all statistical testing to the Production Department.

  9. The German quality system for waste repositories

    SciTech Connect (OSTI)

    Beckmerhagen, I.; Berg, H.P.; Brennecke, P. [Bundesamt fuer Strahlenschutz, Saltzgitter (Germany)

    1993-12-31T23:59:59.000Z

    The Bundesamt fuer Strahlenschutz (BfS)--Federal Office for Radiation protection--has to guarantee that the requirements resulting from different regulations concerning planning, design, construction, operation and decommissioning of a waste repository are fulfilled. In addition, the results of the safety assessments lead to nuclear-specific requirements on the design of the plant as well as to requirements on the radioactive waste packages intended to be disposed of. Therefore, the implementation of a quality assurance (QA) and quality control (QC) system is an essential task in order to ensure that the designed quality is achieved so that the necessary precaution against damage is taken. In this paper, a detailed description of QA and QC to be applied to the planned Konrad repository as well as the basic principles and the present status of the waste package QC are indicated and discussed.

  10. Learning Strategies for Vocabulary Development 105 Learning Strategies for

    E-Print Network [OSTI]

    Chaudhuri, Sanjay

    of success (Gu, 1994, 2003a; Moir & Nation, 2002). Largely two types of learning outcome measures have beenLearning Strategies for Vocabulary Development 105 Learning Strategies for Vocabulary Development of changes in vocabulary learning strategies and how these changes are related to vocabulary development. One

  11. Perceptual learning: learning to see Dov Sagi and David Tanne

    E-Print Network [OSTI]

    Sagi, Dov

    the existence of two types of learning, fast (binocular) and slow (monocular). The slow phase requiresPerceptual learning: learning to see Dov Sagi and David Tanne The Weizmann Institute of Science, Rehovot, Israel Perceptual learning in vision has been found to be highly specific for simple stimulus

  12. e-Learning Seoul National University e-Teaching & Learning

    E-Print Network [OSTI]

    Bahk, Saewoong

    e-Learning Seoul National University e-Teaching & Learning http://etl.snu.ac.kr #12;about eTL eTL ? eTL(e-Teaching & Learning) , , , , . e , , , , , , , , , (, ) , SSO(Single Sign On) , , #12;e-Teaching & Learning System 4 1. Moodle Moodle Modular Object

  13. Distance learning meets Open Source Future-oriented Distance Learning

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    -learning on college level. One of the main problems is that study material as well as concepts have to be transformed component of the Open Source movement. Key words: distance learning, open source 1. INTRODUCTORY REMARKS of each semester. 2. THE CORE PROBLEM WHEN USING E-LEARNING-TOOLS IN DISTANCE LEARNING Most people

  14. Specifying and testing weld neck flanges for better quality

    SciTech Connect (OSTI)

    Weirich, A.B. [Saudi Aramco, Dhahran (Saudi Arabia)

    1996-07-01T23:59:59.000Z

    Field failures and persistent defects have impelled users to demand improved reliability in weld neck flanges. This paper explains why and how to specify for better quality. The answers are straightforward: Specify clearly -- Quality begins with improved raw stock, is assured by good manufacturing practices, and is warranted by appropriate quality controls. Be reasonable, specifications must be commercially viable in today`s competitive environment. Inspect the merchandise: Quality cannot be assured without effective enforcement. To think otherwise is unrealistic, regardless how good the procurement specifications may be. Review purchasing policies: When suppliers of quality products are identified, restricted purchases should be instituted. Quicker deliveries and a reliable supply of good quality product are assured as manufacturers maintain upgraded inventories in anticipation of repeat business.

  15. Conference Proceedings distributing knowledge in building Title: An Internet-based Building Simulation Quality

    E-Print Network [OSTI]

    Amor, Robert

    -based Building Simulation Quality Assurance System Author(s): Shengjiang Lu1 , Robert Amor1 and Michael Donn2 describes the development of a distributed building simulation quality control system. The basic premise (building simulation quality assurance) was proposed, building upon the ideals of the semantic web (Donn et

  16. BLENDED AND ONLINE LEARNING IN

    E-Print Network [OSTI]

    Ellis, Randy

    ) "Flipped classroom" - focus on active learning and enhanced student engagement in the classroom #12;First dissatisfied with student learning experience #12;Blended Learning Initiative Large, first-year courses student engagement improve student learning outcomes improve knowledge retention #12;Framework for Blended

  17. FACULTY GUIDE Service-Learning

    E-Print Network [OSTI]

    Massachusetts at Lowell, University of

    ?.............................................................. 5 Benefits of Service-Learning..................................... 5 Types of Experiential LearningFACULTY GUIDE to Service-Learning University of Massachuse s Lowell 20132014 #12;2 WELCOME Dear Colleague, Thank you for taking the time to read this introductory guide to service- learning

  18. 222-S Laboratory Quality Assurance Plan. Revision 1

    SciTech Connect (OSTI)

    Meznarich, H.K.

    1995-07-31T23:59:59.000Z

    This Quality Assurance Plan provides,quality assurance (QA) guidance, regulatory QA requirements (e.g., 10 CFR 830.120), and quality control (QC) specifications for analytical service. This document follows the U.S Department of Energy (DOE) issued Hanford Analytical Services Quality Assurance Plan (HASQAP). In addition, this document meets the objectives of the Quality Assurance Program provided in the WHC-CM-4-2, Section 2.1. Quality assurance elements required in the Guidelines and Specifications for Preparing Quality Assurance Program Plans (QAMS-004) and Interim Guidelines and Specifications for Preparing Quality Assurance Project Plans (QAMS-005) from the US Environmental Protection Agency (EPA) are covered throughout this document. A quality assurance index is provided in the Appendix A. This document also provides and/or identifies the procedural information that governs laboratory operations. The personnel of the 222-S Laboratory and the Standards Laboratory including managers, analysts, QA/QC staff, auditors, and support staff shall use this document as guidance and instructions for their operational and quality assurance activities. Other organizations that conduct activities described in this document for the 222-S Laboratory shall follow this QA/QC document.

  19. Monitoring the Quality of Outsourced Software Tobias Kuipers

    E-Print Network [OSTI]

    Visser, Joost

    hand, the loss of technical expertise at the client organization leads to loss of control over. To prevent that costs, deadlines, and functionality slip out of control, the remote management of outsourced]. Section III high-lights the tools that support the method, while Section IV focusses on the quality model

  20. Time series association learning

    DOE Patents [OSTI]

    Papcun, George J. (Santa Fe, NM)

    1995-01-01T23:59:59.000Z

    An acoustic input is recognized from inferred articulatory movements output by a learned relationship between training acoustic waveforms and articulatory movements. The inferred movements are compared with template patterns prepared from training movements when the relationship was learned to regenerate an acoustic recognition. In a preferred embodiment, the acoustic articulatory relationships are learned by a neural network. Subsequent input acoustic patterns then generate the inferred articulatory movements for use with the templates. Articulatory movement data may be supplemented with characteristic acoustic information, e.g. relative power and high frequency data, to improve template recognition.

  1. Equivalence in Ventilation and Indoor Air Quality

    SciTech Connect (OSTI)

    Sherman, Max; Walker, Iain; Logue, Jennifer

    2011-08-01T23:59:59.000Z

    We ventilate buildings to provide acceptable indoor air quality (IAQ). Ventilation standards (such as American Society of Heating, Refrigerating, and Air-Conditioning Enginners [ASHRAE] Standard 62) specify minimum ventilation rates without taking into account the impact of those rates on IAQ. Innovative ventilation management is often a desirable element of reducing energy consumption or improving IAQ or comfort. Variable ventilation is one innovative strategy. To use variable ventilation in a way that meets standards, it is necessary to have a method for determining equivalence in terms of either ventilation or indoor air quality. This study develops methods to calculate either equivalent ventilation or equivalent IAQ. We demonstrate that equivalent ventilation can be used as the basis for dynamic ventilation control, reducing peak load and infiltration of outdoor contaminants. We also show that equivalent IAQ could allow some contaminants to exceed current standards if other contaminants are more stringently controlled.

  2. Job quality in Europe

    E-Print Network [OSTI]

    Burchell, Brendan J.; Smith, Mark; Fagan, Colette; O’Brien, Catherine

    2008-01-01T23:59:59.000Z

    flexibility—can also lead to enhanced job quality (Bredgaard and Larsen, 2006; CEC, 2007b), for example, in the form of autonomy and job enlargement. So far, it is only in Finland and Sweden that the Commission finds evidence of such quality workplaces being... .50** — — 1.60** Ireland 0.58** — — — — Italy — 0.73** 0.62** — 0.65** Lithuania — 0.43** — — — Luxembourg — — — — — Latvia — 0.60** 1.38** — 1.50** Netherlands 1.57** 1.83** — 0.38** — Malta — — — — — Poland — — — — — Portugal — — — — — Sweden 1.97** 2...

  3. Computers for Learning

    Broader source: Energy.gov [DOE]

    Through Executive Order 12999, the Computers for Learning Program was established to provide Federal agencies a quick and easy system for donating excess and surplus computer equipment to schools...

  4. Experiments in service learning

    E-Print Network [OSTI]

    Banzaert, Amy, 1976-

    2006-01-01T23:59:59.000Z

    Service learning, an educational method that involves the application of academic work to projects that benefit under-served communities, was explored in two complementary forms. First, the development of an alternative ...

  5. Robot learning [TC Spotlight

    E-Print Network [OSTI]

    Tedrake, Russell Louis

    Creating autonomous robots that can learn to act in unpredictable environments has been a long-standing goal of robotics, artificial intelligence, and the cognitive sciences. In contrast, current commercially available ...

  6. Understanding Forage Quality Analysis

    E-Print Network [OSTI]

    Stokes, Sandra R.; Prostko, Eric P.

    1998-03-23T23:59:59.000Z

    Understanding Forage Quality Analysis Sandra R. Stokes and Eric P. Prostko* L-5198 3-98 M any dairy producers in Texas do not have the land to grow their own forages. Consequent- ly, they rely on both local and out-of-state farmers for supplies...

  7. Quality Counts Exhibitor Card

    E-Print Network [OSTI]

    Chilek, Kevin; Gregory, Elizabeth

    2004-01-27T23:59:59.000Z

    This exhibitor card identifies young livestock exhibitors as participants in the Quality Counts! program. The card is printed with a leather-style background on heavy card stock. It features the 4-H clover and the FFA logo, as well as the logo...

  8. Quality Assurance Program Guide

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2011-08-16T23:59:59.000Z

    This Guide provides information on principles, requirements, and practices used to establish and implement an effective Quality Assurance Program. Cancels DOE G 414.1-2A, DOE G 414.1-3 and DOE G 414.1-5. Admin Chg 1, dated 9-27-11. Admin Chg 2, dated 5-8-13.

  9. Quality Assurance Program Guide

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2011-08-16T23:59:59.000Z

    The directive provides guidance for DOE elements and contractors in developing and implementing an effective Quality Assurance Program. Cancels DOE G 414.1-2A, DOE G 414.1-3 and DOE G 414.1-5. Superseded by Admin Chg 1, 9-27-11.

  10. Quality Assurance Program Guide

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2011-08-16T23:59:59.000Z

    This Guide provides information on principles, requirements, and practices used to establish and implement an effective Quality Assurance Program. Cancels DOE G 414.1-2A, DOE G 414.1-3 and DOE G 414.4-5. Admin Chg 1, dated 9-27-11. Admin Chg 2, dated 5-8-13.

  11. Sharing Lessons Learned

    SciTech Connect (OSTI)

    Mohler, Bryan L.

    2004-09-01T23:59:59.000Z

    Workplace safety is inextricably tied to the culture – the leadership, management and organization – of the entire company. Nor is a safety lesson fundamentally different from any other business lesson. With these points in mind, Pacific Northwest National Laboratory recast its lessons learned program in 2000. The laboratory retained elements of a traditional lessons learned program, such as tracking and trending safety metrics, and added a best practices element to increase staff involvement in creating a safer, healthier work environment. Today, the Lessons Learned/Best Practices program offers the latest business thinking summarized from current external publications and shares better ways PNNL staff have discovered for doing things. According to PNNL strategic planning director Marilyn Quadrel, the goal is to sharpen the business acumen, project management ability and leadership skills of all staff and to capture the benefits of practices that emerge from lessons learned. A key tool in the PNNL effort to accelerate learning from past mistakes is one that can be easily implemented by other firms and tailored to their specific needs. It is the weekly placement of Lessons Learned/Best Practices articles in the lab’s internal electronic newsletter. The program is equally applicable in highly regulated environments, such as the national laboratories, and in enterprises that may have fewer external requirements imposed on their operations. And it is cost effective, using less than the equivalent of one fulltime person to administer.

  12. Learning Innate Face Preferences

    E-Print Network [OSTI]

    2003-01-01T23:59:59.000Z

    Newborn humans preferentially orient to face-like patterns at birth, but months of experience with faces is required for full face processing abilities to develop. Several models have been proposed for how the interaction of genetic and evironmental influences can explain this data. These models generally assume that the brain areas responsible for newborn orienting responses are not capable of learning and are physically separate from those that later learn from real faces. However, it has been difficult to reconcile these models with recent discoveries of face learning in newborns and young infants. We propose a general mechanism by which genetically specified and environmentdriven preferences can coexist in the same visual areas. In particular, newborn face orienting may be the result of prenatal exposure of a learning system to internally generated input patterns, such as those found in PGO waves during REM sleep. Simulating this process with the HLISSOM biological model of the visual system, we demonstrate that the combination of learning and internal patterns is an efficient way to specify and develop circuitry for face perception. This prenatal learning can account for the newborn preferences for schematic and photographic images of faces, providing a computational explanation for how genetic influences interact with experience to construct a complex adaptive system.

  13. Structure, sedimentology, coal quality, and hydrology of the Black Warrior Basin in Alabama: Controls on the occurrence and producibility of coalbed methane. Topical report, August 1, 1987-December 20, 1990

    SciTech Connect (OSTI)

    Pashin, J.C.

    1991-03-01T23:59:59.000Z

    Geologic evaluation of critical production parameters in the Black Warrior basin employed an interdisciplinary approach that utilized structural, sedimentologic, coal-quality, hydrologic, completion, and production data. Results indicate that geologic structure affected sedimentation, coalification, hydrogeology, and the ultimate occurrence and producibility of coalbed methane. Geologic trend analysis was used to characterize regional coalbed-methane potential, and results indicate that many parts of the basin have untapped resources. Some highly productive trends coincide with northeast-trending structures that apparently are zones of enhanced fracture permeability. Water-production data indicate that many high-permeability trends exist that are not associated with exceptional coalbed-methane production and that the coal beds are structurally compartmentalized reservoirs. Water-level data indicate that all highly productive coalbed-methane wells occur where reservoir pressure has been lowered significantly. Therefore, highly productive areas apparently represent structural compartments where formation pressure has been lowered enough to facilitate desorption of a large quantity of methane. Results of the research suggest that completion technology and field design can be tailored to specific geologic settings to produce from reservoir compartments that are readily depressurized, thereby optimizing reservoir drainage.

  14. With the ecological mistakes of humanity now becoming more apparent, it is reassuring to know that nature has established certain controls which prevent some insects from overpopulating the environment. Learning to

    E-Print Network [OSTI]

    New Hampshire, University of

    that nature has established certain controls which prevent some insects from overpopulating the environment aggregations. The most important local species is probably the Multi-Colored Asian Ladybug, a species

  15. Formative Assessment, Equity, and Opportunity to Learn

    E-Print Network [OSTI]

    Hilberg, Soleste

    2012-01-01T23:59:59.000Z

    inquiry focused on student learning, and to explore theirinquiry focused on student learning, and (c) how this workinquiry focused on student learning. Interrelatedly, there

  16. LESSONS LEARNED AND BEST PRACTICES PROGRAM MANUAL

    E-Print Network [OSTI]

    Gravois, Melanie C.

    2007-01-01T23:59:59.000Z

    Experience Program. LESSONS LEARNED AND BEST PRACTICESUpon receipt of a Lessons Learned/Best Practices Feedbackreview disseminated Lessons Learned/Best Practices Briefings

  17. Unsupervised Learning of Object Descriptors and Compositions

    E-Print Network [OSTI]

    Ye, Xingyao

    2012-01-01T23:59:59.000Z

    Reported Experiments A New Experiment on Human Learning ofof previous experiments on human chunk learning, along withnew psychophysical experiment, where human observers learned

  18. Abstract--We experimentally investigate the impact of variable transmission power on link quality, and propose variable

    E-Print Network [OSTI]

    Heidemann, John

    quality, and propose variable power link quality control techniques to enhance the performance of data, while there are a number of previous results on power control techniques for wireless ad hoc and sensor these effects strongly influence the effectiveness of transmission power control. We then present a packet

  19. Modeling Metacognition for Learning in Artificial Darsana P. Josyula, Harish Vadali, Bette J. Donahue, Franklin C. Hughes

    E-Print Network [OSTI]

    Josyula, Darsana

    in artificial systems and how the model is applied in an Air Traffic Control Simulator system. Keywords an academic task. Self- regulated learning requires students to be active, goal-directed learners with self-controlModeling Metacognition for Learning in Artificial Systems Darsana P. Josyula, Harish Vadali, Bette

  20. Network Assisted Power Control 1 6/15/00 Network Assisted Power Control for Wireless Data

    E-Print Network [OSTI]

    Mandayam, Narayan

    Network Assisted Power Control 1 6/15/00 Network Assisted Power Control for Wireless Data David lesson of cellular telephone network operation is that effective power control is essential to promote system quality and efficiency. In recent we have applied microeconomic theories to power control taking

  1. Towards Prediction-Based Prosthetic Control Pilarski PM1

    E-Print Network [OSTI]

    Sutton, Richard S.

    an approach to one of the principal open problems in multi-function myoelectric control--robust, ongoing-time machine learning, adaptive control, myoelectric control, prosthetics, assistive medical devices. Introduction Simultaneous myoelectric control of multiple joints remains a challenging unsolved problem [1

  2. AVLIS Production Plant Preliminary Quality Assurance Plan and Assessment

    SciTech Connect (OSTI)

    Not Available

    1984-11-15T23:59:59.000Z

    This preliminary Quality Assurance Plan and Assessment establishes the Quality Assurance requirements for the AVLIS Production Plant Project. The Quality Assurance Plan defines the management approach, organization, interfaces, and controls that will be used in order to provide adequate confidence that the AVLIS Production Plant design, procurement, construction, fabrication, installation, start-up, and operation are accomplished within established goals and objectives. The Quality Assurance Program defined in this document includes a system for assessing those elements of the project whose failure would have a significant impact on safety, environment, schedule, cost, or overall plant objectives. As elements of the project are assessed, classifications are provided to establish and assure that special actions are defined which will eliminate or reduce the probability of occurrence or control the consequences of failure. 8 figures, 18 tables.

  3. CAVITY CONTROL ALGORITHM

    SciTech Connect (OSTI)

    Tomasz Plawski, J. Hovater

    2010-09-01T23:59:59.000Z

    A digital low level radio frequency (RF) system typically incorporates either a heterodyne or direct sampling technique, followed by fast ADCs, then an FPGA, and finally a transmitting DAC. This universal platform opens up the possibilities for a variety of control algorithm implementations. The foremost concern for an RF control system is cavity field stability, and to meet the required quality of regulation, the chosen control system needs to have sufficient feedback gain. In this paper we will investigate the effectiveness of the regulation for three basic control system algorithms: I&Q (In-phase and Quadrature), Amplitude & Phase and digital SEL (Self Exciting Loop) along with the example of the Jefferson Lab 12 GeV cavity field control system.

  4. Quality Assurance 9-1 9. Quality Assurance

    E-Print Network [OSTI]

    Pennycook, Steve

    Reservation 9-2 Quality Assurance the National Institute of Standards and Tech- nology (NIST), other DOE address and meet applicable quality standards. 9.2 FIELD SAMPLING QUALITY ASSURANCE Field sampling QA.Somekeyqualitypractices include the following: · use of standard operating procedures for sample collection and analysis; · use

  5. Hydrogen Fuel Quality

    SciTech Connect (OSTI)

    Rockward, Tommy [Los Alamos National Laboratory

    2012-07-16T23:59:59.000Z

    For the past 6 years, open discussions and/or meetings have been held and are still on-going with OEM, Hydrogen Suppliers, other test facilities from the North America Team and International collaborators regarding experimental results, fuel clean-up cost, modeling, and analytical techniques to help determine levels of constituents for the development of an international standard for hydrogen fuel quality (ISO TC197 WG-12). Significant progress has been made. The process for the fuel standard is entering final stages as a result of the technical accomplishments. The objectives are to: (1) Determine the allowable levels of hydrogen fuel contaminants in support of the development of science-based international standards for hydrogen fuel quality (ISO TC197 WG-12); and (2) Validate the ASTM test method for determining low levels of non-hydrogen constituents.

  6. Ethers help gasoline quality

    SciTech Connect (OSTI)

    Chang, E.J.; Leiby, S.M. (SRI International, Menlo Park, CA (US))

    1992-02-01T23:59:59.000Z

    In this article three scenarios to evaluate the effect of etherification on gasoline production and quality are reviewed: Base case FCC/C{sub 4} alkylation complex - FCC unit operation for maximum gasoline yield, MTBE unit added to base case FCC unit operation and MTBE unit added to maximum olefins FCC unit operation. Details of the FCC, MTBE and C{sub 4} alkylation operations used in this article are reviewed, followed by a discussion of overall results.

  7. Improving Stormwater Quality

    E-Print Network [OSTI]

    Garcia, Raul

    2005-01-01T23:59:59.000Z

    of water resources. Stormwater, when produced by rain or snowmelt flowing over the land, captures debris, chemicals, hazardous wastes, and/or sediment. These contaminants then make their way to drainage systems that flow directly into rivers, lakes..., wetlands, or bays. The polluted stormwa- ter runoff can affect the health of plants, fish, animals, and people, as well as reduce the recreational value of water resources. Urbanization also has a major impact on the quality of local streams because...

  8. Louisiana Nuclear Energy and Radiation Control Law (Louisiana)

    Broader source: Energy.gov [DOE]

    The Louisiana Department of Environmental Quality is responsible for the regulation of nuclear energy safety, permitting and radiation safety and control in Louisiana. The Department operates...

  9. Air Pollution Control Program (South Dakota) | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Provider South Dakota Department of Environment and Natural Resources South Dakota's Air Pollution Control Program is intended to maintain air quality standards through...

  10. Integrating automated shading and smart glazings with daylight controls

    E-Print Network [OSTI]

    Selkowitz, Stephen; Lee, Eleanor

    2004-01-01T23:59:59.000Z

    Effect of Venetian Blinds on Daylight Photoelectric Controland Smart Glazings with Daylight Controls Stephen Selkowitzwith the outdoors and daylight to enhance the quality of the

  11. acase control study: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    91 KNOWLEDGE MANAGEMENT via INFORMATION TECHNOLOGIES CASE STUDY QUALITY CONTROL PLANS IN SIEMENS A&D ET. Open Access Theses and Dissertations Summary: ??SUMMARY Title: Knowlege...

  12. adolescents case control: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Knowlege Management via Information Technologies, Case Study: Quality Control Plans In Siemens A&D ET Author: Asli Morali Supervisor: Anders Hederstierna Department: School of...

  13. Learning with online constraints : shifting concepts and active learning

    E-Print Network [OSTI]

    Monteleoni, Claire E. (Claire Elizabeth), 1975-

    2006-01-01T23:59:59.000Z

    Many practical problems such as forecasting, real-time decision making, streaming data applications, and resource-constrained learning, can be modeled as learning with online constraints. This thesis is concerned with ...

  14. Tennessee Air Quality Act (Tennessee)

    Broader source: Energy.gov [DOE]

    The Tennessee Air Quality Act (AQA) delegates the power to maintain air quality in the State to the Department of Environment and Conservation. Under the Department of the Environment and...

  15. Surface Water Quality Standards (Kansas)

    Broader source: Energy.gov [DOE]

    This act states regulations for the quality of surface water in the state. It also states designated uses of classified surface waters, surface water quality criteria and an antidegradation policy...

  16. Local Water Quality Districts (Montana)

    Broader source: Energy.gov [DOE]

    This statute provides for the creation of local water quality districts to prevent and mitigate ground and surface water contamination. Each local water quality district may develop and implement a...

  17. Lessons learned on the UMTRA Project. Special study

    SciTech Connect (OSTI)

    Not Available

    1991-02-01T23:59:59.000Z

    This report has been compiled as part of the Technical Assistance Contractor`s (TAC`s) continuing efforts to improve the quality of its product to the US Department of Energy (DOE), and to reduce the costswhile maintaining a standard of excellence on the Uranium Mill Tailings Remedial Action (UMTRA) Project. The report documents the lessons learned and the steps taken to benefit the project as a result. This study has multiple objectives, which fall under the following hierarchy: To examine and evaluate past successes and mistakes. To provide a record of lessons learned for the benefit and orientation of future staffmembers. To identify shortcomings of, and desired improvements to, current UMTRA Project practices and procedures. To establish a means for the future review and dissemination of lessons learned.

  18. Total and Peak Energy Consumption Minimization of Building HVAC Systems Using Model Predictive Control

    E-Print Network [OSTI]

    Maasoumy, Mehdi; Sangiovanni-Vincentelli, Alberto

    2012-01-01T23:59:59.000Z

    optimal control design for HVAC systems,’’ in Proc. Dynamicelectricity consumption in hvac using learning- based model-algorithm design for hvac systems in energy efficient

  19. Promoting system-level learning from project-level lessons

    SciTech Connect (OSTI)

    Jong, Amos A. de, E-mail: amosdejong@gmail.com [Innovation Management, Utrecht (Netherlands); Runhaar, Hens A.C., E-mail: h.a.c.runhaar@uu.nl [Section of Environmental Governance, Utrecht University, Utrecht (Netherlands); Runhaar, Piety R., E-mail: piety.runhaar@wur.nl [Organisational Psychology and Human Resource Development, University of Twente, Enschede (Netherlands); Kolhoff, Arend J., E-mail: Akolhoff@eia.nl [The Netherlands Commission for Environmental Assessment, Utrecht (Netherlands); Driessen, Peter P.J., E-mail: p.driessen@geo.uu.nl [Department of Innovation and Environment Sciences, Utrecht University, Utrecht (Netherlands)

    2012-02-15T23:59:59.000Z

    A growing number of low and middle income nations (LMCs) have adopted some sort of system for environmental impact assessment (EIA). However, generally many of these EIA systems are characterised by a low performance in terms of timely information dissemination, monitoring and enforcement after licencing. Donor actors (such as the World Bank) have attempted to contribute to a higher performance of EIA systems in LMCs by intervening at two levels: the project level (e.g. by providing scoping advice or EIS quality review) and the system level (e.g. by advising on EIA legislation or by capacity building). The aims of these interventions are environmental protection in concrete cases and enforcing the institutionalisation of environmental protection, respectively. Learning by actors involved is an important condition for realising these aims. A relatively underexplored form of learning concerns learning at EIA system-level via project level donor interventions. This 'indirect' learning potentially results in system changes that better fit the specific context(s) and hence contribute to higher performances. Our exploratory research in Ghana and the Maldives shows that thus far, 'indirect' learning only occurs incidentally and that donors play a modest role in promoting it. Barriers to indirect learning are related to the institutional context rather than to individual characteristics. Moreover, 'indirect' learning seems to flourish best in large projects where donors achieved a position of influence that they can use to evoke reflection upon system malfunctions. In order to enhance learning at all levels donors should thereby present the outcomes of the intervention elaborately (i.e. discuss the outcomes with a large audience), include practical suggestions about post-EIS activities such as monitoring procedures and enforcement options and stimulate the use of their advisory reports to generate organisational memory and ensure a better information dissemination.

  20. Quality Management and Job Quality: How the ISO 9001 Standard forQuality Management Systems Affects Employees and Employers

    E-Print Network [OSTI]

    Levine, David I.; Toffel, Michael W.

    2008-01-01T23:59:59.000Z

    of IS0 9000 quality management systems on manufacturing.Standard for Quality Management Systems Affects Employeeshow the ISO 9001 Quality Management System standard affects