National Library of Energy BETA

Sample records for quality control learn

  1. 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.

  2. Laboratory QualityLaboratory Quality ControlControl

    E-Print Network [OSTI]

    Laboratory QualityLaboratory Quality ControlControl Nabil A. NIMER Dept . Biotechnology & Genetic thatQA is defined as the overall program that ensures that the final results reported by the laboratory areensures that the final results reported by the laboratory are correct.correct. ""The aim of quality

  3. 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 ...

  4. 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 ...

  5. 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...

  6. 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.

  7. 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

    2010-01-01

    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.

  8. Federal, State, and Local Water Quality Control

    E-Print Network [OSTI]

    Radcliffe, David

    Federal, State, and Local Water Quality Control An Assessment of the Current Laws Affecting 303(d), a TMDL is required to be implemented for any water body in which technology-based controls and non-point sources of pollution. In many situations, this method of water quality control is important

  9. Control System Synthesis Through Inductive Learning

    E-Print Network [OSTI]

    Antsaklis, Panos

    Control System Synthesis Through Inductive Learning of Boolean Concepts Michael Lemmon, Panos the use of concept learning in the identification of discrete event system (DES) controllers. Introduction of bounded process uncertainty. If the resulting performance of the robust control system is unacceptable

  10. 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...

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

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

    More Documents & Publications QCI Exam Test-Taking Tips from Community Housing Partners (CHP) Assorted QCI Tips and Standards Review Quality Control Inspector (QCI) Pre-Exam Quiz...

  12. NREL Job Task Analysis: Quality Control Inspector

    SciTech Connect (OSTI)

    Kurnik, C.; Woodley, C.

    2011-05-01

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

  13. 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

  14. 6 September 2006 Genetic Quality Control

    E-Print Network [OSTI]

    Fukai, Tomoki

    6 September 2006 Genetic Quality Control Genetic Quality Monitoring by Biochemical Marker monitoring program to ensure the genetic quality of mice strains. This monitoring program is useful treatment, RBCs are lysed in a fourfold volume of iodoacetic acid solution instead of water. Plasma

  15. Machine learning method for software quality model building

    E-Print Network [OSTI]

    Matwin, Stan

    Machine learning method for software quality model building Maurício Amaral de Almeida1 and Stan Ontario, K1N 6N5 Canada {malmeida,stan}@csi.uottawa.ca Abstract Software quality prediction can be cast to software quality prediction. As it often happens in real-life applications, significant part of the project

  16. SealScope Project Keywords: Seal quality, statistical process control, control chart, quality control, packaging.

    E-Print Network [OSTI]

    Davis, Jesse

    control, packaging. Settings of the project: For many packaged products, especially in the food industry of consumption. Shelf-life depends on the initial quality of the product before packaging and the eventual loss is the quality of the packaging. The most important characteristics of the packaging with respect to optimal

  17. Quality control and statistical process control for nuclear analytical measurements

    SciTech Connect (OSTI)

    Seymour, R.; Sergent, F.; Clark, W.H.C.; Gleason, G.

    1993-12-31

    The same driving forces that are making businesses examine quality control of manufacturing processes are making laboratories reevaluate their quality control programs. Increased regulation (accountability), global competitiveness (profitability), and potential for litigation (defensibility) are the principal driving forces behind the development and implementation of QA/QC programs in the nuclear analytical laboratory. Both manufacturing and scientific quality control can use identical statistical methods, albeit with some differences in the treatment of the measured data. Today, the approaches to QC programs are quite different for most analytical laboratories as compared with manufacturing sciences. This is unfortunate because the statistical process control methods are directly applicable to measurement processes. It is shown that statistical process control methods can provide many benefits for laboratory QC data treatment.

  18. Engineering Quality while Embracing Change: Lessons Learned

    SciTech Connect (OSTI)

    Marinovici, Maria C.; Kirkham, Harold; Glass, Kevin A.; Carlsen, Leif C.

    2013-01-09

    In an increasingly complex technical environ-ment, failure is accepted as a way of maximizing potential, a way of growing up. Experience can be utilized to improve designs, advance product maturity, and at the same time, can increase team’s training and education. It is not enough to understand the development tools to ensure a project’s success. Understanding how to plan, measure, communicate, interact, and work in teams is mandatory to make a project successful. A manager cannot enforce a process of good communication between team members. Project teams have to work together in supporting each other and establish a constant communication environment. This paper presents lessons learned during the development process of operations research software. The team members have matured and learned during the process to plan successfully, adapt to changes, use Agile methodologies, and embrace a new attitude towards failures and communication.

  19. New Directions in Measurement for Software Quality Control

    E-Print Network [OSTI]

    Suryn, Witold

    1 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 is needed to software quality control as compared with manufacturing quality control. In particular

  20. Quality Procedure - Lessons Learned | Department of Energy

    Energy Savers [EERE]

    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 on DeliciousMathematicsEnergyInterested PartiesBuildingBudget || DepartmentPutting Solar-ServicesControlLessons

  1. Quality Procedure - Document Control | Department of Energy

    Energy Savers [EERE]

    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 on DeliciousMathematicsEnergyInterested PartiesBuildingBudget || DepartmentPutting Solar-ServicesControl Quality

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

    E-Print Network [OSTI]

    Anderson, Charles W.

    DISSERTATION A SYNTHESIS OF REINFORCEMENT LEARNING AND ROBUST CONTROL THEORY Submitted by R OF DISSERTATION A SYNTHESIS OF REINFORCEMENT LEARNING AND ROBUST CONTROL THEORY The pursuit of control algorithms is a collection of theories, techniques, and tools that form one of the leading edge approaches to control. Most

  3. Hybrid Wall Construction and Quality Control Issues in Wyandotte, Michigan

    SciTech Connect (OSTI)

    Lukachko, A.; Grin, A.; Bergey, D.

    2013-12-01

    This report is the second report on the Wyandotte Neighborhood Stabilization Program 2 project in Wyandotte, MI, and documents refinements to the design, construction, and quality control for the high R-value enclosure. The report will be of interest to designers and builders of production housing in Cold Climates. The focus of the second round of research was on using the hybrid insulation approach to develop a reliable method of achieving consistently low airtightness numbers. There are two primary outcomes from this research. First, the airtightness measurements demonstrate that with a shallow learning curve, even new builders entering the program having little experience with the technology package are able to achieve consistent results that are less than 1.5 ACH50. Second, the process changes implemented to help secure these results were straightforward and ended up encouraging better communication between designer, builder, and the city officials supervising the project.

  4. Crowdsourcing quality control for Dark Energy Survey images

    E-Print Network [OSTI]

    Melchior, P; Drlica-Wagner, A; Rykoff, E S; Abbott, T M C; Abdalla, F B; Allam, S; Benoit-Levy, A; Brooks, D; Buckley-Geer, E; Rosell, A Carnero; Kind, M Carrasco; Carretero, J; Crocce, M; D'Andrea, C B; da Costa, L N; Desai, S; Doel, P; Evrard, A E; Finley, D A; Flaugher, B; Frieman, J; Gaztanaga, E; Gerdes, D W; Gruen, D; Gruendl, R A; Honscheid, K; James, D J; Jarvis, M; Kuehn, K; Li, T S; Maia, M A G; March, M; Marshall, J L; Nord, B; Ogando, R; Plazas, A A; Romer, A K; Sanchez, E; Scarpine, V; Sevilla-Noarbe, I; Smith, R C; Soares-Santos, M; Suchyta, E; Swanson, M E C; Tarle, G; Vikram, V; Walker, A R; Wester, W; Zhang, Y

    2015-01-01

    We have developed a crowdsourcing web application for image quality control employed by the Dark Energy Survey. Dubbed the "DES exposure checker", it renders science-grade images directly to a web browser and allows users to mark problematic features from a set of predefined classes. Users can also generate custom labels and thus help identify previously unknown problem classes. User reports are fed back to hardware and software experts to help mitigate and eliminate recognized issues. We report on the implementation of the application and our experience with its over 100 users, the majority of which are professional or prospective astronomers but not data management experts. We discuss aspects of user training and engagement, and demonstrate how problem reports have been pivotal to rapidly correct artifacts which would likely have been too subtle or infrequent to be recognized otherwise. We conclude with a number of important lessons learned, suggest possible improvements, and recommend this collective explo...

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

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

    Yan Shi; Laura Riihimaki

    1994-01-07

    Surface Radiation Measurement Quality Control testing, including climatologically configurable limits

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

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

    Yan Shi; Laura Riihimaki

    Surface Radiation Measurement Quality Control testing, including climatologically configurable limits

  7. 9 QUALITY ASSURANCE AND QUALITY CONTROL 9.1 Introduction

    E-Print Network [OSTI]

    that a facility's current Quality Assurance Program can be used. Standard ANSI/ASQC E4-1994 (ASQC 1995) provides and the collection and evaluation of environmental data. Annex B of ANSI/ASQC E4-1994 1 Numerous quality assurance (ASME 1989), and ISO 9000/ASQC Q9000 series (ISO 1987). ANSI/ASQC E4- 1994 (ASQC 1995) is a consensus

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

    Open Energy Info (EERE)

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

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

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

    Expectations Better Buildings Residential Network Workforce Peer Exchange Call Series: Quality Control, Standardization of Upgrades, and Workforce Expectations, March 27, 2014....

  10. MATHEMATICAL PROGRAMMING MODELS FOR ENVIRONMENTAL QUALITY CONTROL

    E-Print Network [OSTI]

    Greenberg, Harvey J.

    ~ngenvironmental quality. The scope includes air, water, and land quality, stemming from the first works in the 1960s, and the mathematical program is designed to pre- scribe decisions for operations and planning to minimize cost subject. Sections 2-4 sum- marize the literature on mathematical programming models for air, land, and water quality

  11. CHANCE: comprehensive software for quality control and validation of ChIP-seq data

    E-Print Network [OSTI]

    Diaz, Aaron; Nellore, Abhinav; Song, Jun S

    2012-01-01

    comprehensive software for quality control and validation ofcomprehensive software for quality control and validation ofOther software visualizes the distribution of quality scores

  12. Aalborg Universitet Secondary Control for Voltage Quality Enhancement in Microgrids

    E-Print Network [OSTI]

    Vasquez, Juan Carlos

    Aalborg Universitet Secondary Control for Voltage Quality Enhancement in Microgrids Savaghebi). Secondary Control for Voltage Quality Enhancement in Microgrids. I E E E Transactions on Smart Grid, 3 in Microgrids," Smart Grid, IEEE Transactions on , vol.3, no.4, pp.1893-1902, Dec. 2012. doi: 10.1109/TSG.2012

  13. 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

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

    E-Print Network [OSTI]

    Kirkpatrick, Kenton

    2013-04-30

    Reinforcement Learning has received a lot of attention over the years for systems ranging from static game playing to dynamic system control. Using Reinforcement Learning for control of dynamical systems provides the benefit of learning a control...

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

    SciTech Connect (OSTI)

    Fishler, B

    2011-03-18

    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.

  16. A diagnostic procedure for multivariate quality control 

    E-Print Network [OSTI]

    Keserla, Adhinarayan A.

    1993-01-01

    There are many instances in which the quality of a product or stability of a process is determined by several variables. Most often there exist correlations among the variables monitored. In such situations one wishes to take advantage...

  17. Adaptive Demand Response: Online Learning of Restless and Controlled Bandits

    E-Print Network [OSTI]

    Liu, Mingyan

    Adaptive Demand Response: Online Learning of Restless and Controlled Bandits Qingsi Wang, Mingyan realized curtailment, not the curtailment of each load. We develop an adaptive demand response learning like UCB1. I. INTRODUCTION Electric loads participating in demand response programs provide a variety

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

    E-Print Network [OSTI]

    Demiris, Yiannis

    Learning models of camera control for imitation in football matches Anthony Dearden and Yiannis of learning from and imitating the movement of a trained cameraman and his director covering a football match to move in a football match. This scenario has useful applications in both sim- ulation and real

  19. Indoor air quality control for improving passenger health in subway platforms using an outdoor air quality dependent ventilation system

    E-Print Network [OSTI]

    Indoor air quality control for improving passenger health in subway platforms using an outdoor air online 19 May 2015 Keywords: Ventilation control system Indoor air quality Indoor air pollution control Outdoor air quality Passenger health promotion Ventilation energy a b s t r a c t Indoor air quality (IAQ

  20. Software Quality Assurance Control of Existing Systems

    Energy Savers [EERE]

    one based on software maintenance and another detailing a baseline recovery strategy are included. SQA Control of Existing Systems SQAS22.01.00-2002 Acknowledgments The...

  1. A NONLINEAR LEARNING CONTROL APPROACH FOR A CEMENT MILLING PROCESS

    E-Print Network [OSTI]

    Efe, Mehmet Önder

    A NONLINEAR LEARNING CONTROL APPROACH FOR A CEMENT MILLING PROCESS 1 OGUZ H. DAGCI, 2 M. ÖNDER EFE, control of a cement milling circuit is studied with time-varying set values, time-varying plant parameters popularity since the field of nonlinear control still does not offer systematized procedures. Cement mill

  2. 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 Data Center Home Page on Delicious RankADVANCED MANUFACTURING OFFICESpecialAPPENDIX FOrigin ofAllen LichvarAREVAInnovation: The SpectrumQuality

  3. 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

  4. Quality assurance/quality control (QA/QC) procedures for hazardous-waste incineration. Handbook

    SciTech Connect (OSTI)

    Dux, T.; Gilford, P.; Bergman, F.; Boomer, B.; Hooton, D.

    1990-01-01

    The Environmental Protection Agency (EPA) has promulgated regulations for hazardous waste incinerators under the Resource Conservation and Recovery Act. These regulations require the permit applicant to conduct trial burns to demonstrate compliance with the regulatory limits and provide data needed to write the individual permits. Trial burns require a Quality Assurance Project Plan (QAPjP) with quality assurance/quality control (QA/QC) procedures to control and evaluate data quality. The primary focus of the handbook is the trial burn itself; however, a discussion of the QA/QC for routine incinerator monitoring and permit compliance is included in a separate chapter. The area has slightly different requirements and objectives from those of the trial burn. The trial burn should be viewed as a short-term project with a defined beginning and end, while compliance monitoring is considered an ongoing process.

  5. A Toolkit for Building Energy Consumption Data Quality Assurance/Quality Control 

    E-Print Network [OSTI]

    Baltazar, J.C.

    2011-01-01

    Building Operations, New York City, October 18-20, 2011 ICEBO 2011 ? New York JCB/ESL Outline ? Motivation ? Building Energy Data Quality Assurance/Quality Control (QA/QC) Project ? Tool Development ? Inputs ? Modules ? Outputs...-10-30 Proceedings of the Eleventh International Conference Enhanced Building Operations, New York City, October 18-20, 2011 ICEBO 2011 ? New York JCB/ESL Building Energy Data QA/QC Project ? 150 Campus Buildings (~500 Meters), Total Area ~ 15...

  6. An iterative learning controller for nonholonomic mobile robots

    SciTech Connect (OSTI)

    Oriolo, G.; Panzieri, S.; Ulivi, G.

    1998-09-01

    The authors present an iterative learning controller that applies to nonholonomic mobile robots, as well as other systems that can be put in chained form. The learning algorithm exploits the fact that chained-form. The learning algorithm exploits the fact that chained-form systems are linear under piecewise-constant inputs. The proposed control scheme requires the execution of a small number of experiments to drive the system to the desired state in finite time, with nice convergence and robustness properties with respect to modeling inaccuracies as well as disturbances. To avoid the necessity of exactly reinitializing the system at each iteration, the basic method is modified so as to obtain a cyclic controller, by which the system is cyclically steered through an arbitrary sequence of states. As a case study, a carlike mobile robot is considered. Both simulation and experimental results are reported to show the performance of the method.

  7. Provenance and Quality Control in Sensor Networks Barbara Lerner1

    E-Print Network [OSTI]

    Lerner, Barbara Staudt

    . Keywords--provenance metadata, scientific workflow, sensor net- work, Little-JIL I. INTRODUCTION ScientistsProvenance and Quality Control in Sensor Networks Barbara Lerner1 , Emery Boose2 , Leon Osterweil3@cs.umass.edu Abstract--Scientists and society increasingly rely on streaming data from electronic sensors to assess

  8. GenePRIMP: A software quality control tool

    ScienceCinema (OSTI)

    Amrita Pati

    2010-09-01

    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.

  9. GenePRIMP: A software quality control tool

    SciTech Connect (OSTI)

    Amrita Pati

    2010-05-05

    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.

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

    E-Print Network [OSTI]

    White, Douglas R.

    sample selection and data retrieval to correlation, data quality control, and testing for genetic. NAROLL and R. COHEN (eds.), Handbook of method in cultural anthropology, New York, Natural History Press. at CALIFORNIA DIGITAL LIBRARY on May 3, 2010http://ssi.sagepub.comDownloaded from #12;80 SCOPE OF MATERIALS

  11. 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

  12. Breakthrough Technologies Automated Update, Revision, and Quality Control of the

    E-Print Network [OSTI]

    Yandell, Mark

    Breakthrough Technologies Automated Update, Revision, and Quality Control of the Maize Genome that the approximately 2.3-Gb genome of the maize (Zea mays) inbred line B73, a major contributor to much of the germplasm used for U.S. grain production, would be sequenced using a bacterial artificial chromo- some (BAC

  13. 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

  14. 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 Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based|Department of5 Peer ReviewUse of HeAgenda EERE Quality ControlEERE Quality

  15. System Quality Risk Assessment: Applications and Lessons Learned

    SciTech Connect (OSTI)

    Gelston, Gariann M.; Smith, Michael A.; Schwartz, Deborah S.

    2006-12-05

    News Releases Court Audits When does research become a verifiable product? When do the tools used to solve a problem become part of the research "system" and thus fall under the quality standard requirements? What should/is the system be used for? Research Typically Starts Small

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

    SciTech Connect (OSTI)

    Greaves, E. D.; Barros, H.; Bermudez, J.; Sajo-Bohus, L.; Angeli-Greaves, M.

    2007-10-26

    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.

  17. Issues and Experiences on Radioactive Waste Quality Control / Quality Assurance with Regard to Future Disposal

    SciTech Connect (OSTI)

    Beckmerhagen, I.; Brennecke, P.; Steyer, S.; Bandt, G.

    2006-07-01

    In the Federal Republic of Germany all types of radioactive waste (short-lived, long-lived) are to be disposed of in deep geological formations. Thus, the safe management of radioactive waste presupposes an appropriate conditioning of primary waste-to-waste packages suitable for emplacement in a repository as well as the documentation of pre-treatment, processing and packaging steps and the waste package characteristics being relevant for disposal. Due to the operation, decommissioning and dismantling of nuclear facilities as well as the application of radioisotopes in industry, medicine and research and development radioactive waste continuously arises in Germany. In order to manage this waste different measures and procedures regarding its conditioning and quality control/quality assurance were introduced and since many years successfully applied. Waste conditioning is especially characterized by a flexible application of the Konrad waste acceptance requirements. The rationale for this approach is due to the present non-availability of a repository in Germany. Several examples of a 'tailor-made' application of the waste acceptance requirements in treatment, conditioning and documentation processes as well as the quality assurance/quality control processes illustrate the current German approach. (authors)

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

    E-Print Network [OSTI]

    Bushnell, Jim B; Wolfram, Catherine D

    2007-01-01

    Controls: Labor Quality and Power Plant Efficiency July 2007Controls: Labor Quality and Power Plant E ciency James B.on the fuel e ciency of power plants. Although electricity

  19. EERE Quality Control Workshop Agenda | 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 on Delicious Rank EERE:FinancingPetroleum Based|Department of5 Peer ReviewUse of HeAgenda EERE Quality Control Workshop

  20. EERE Quality Control Workshop Final Report | 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 on Delicious Rank EERE:FinancingPetroleum Based|Department of5 Peer ReviewUse of HeAgenda EERE Quality Control

  1. On-Line Learning Failure-Tolerant Neural-Aided Controller for Earthquake Excited Structures

    E-Print Network [OSTI]

    Nagarajaiah, Satish

    On-Line Learning Failure-Tolerant Neural-Aided Controller for Earthquake Excited Structures Sriram Abstract: This paper presents an on-line learning failure-tolerant neural controller capable of controlling buildings subjected to severe earthquake ground motions. In the proposed scheme the neural controller aids

  2. 2004-01-2440 Reinforcement Learning in the Control of a Simulated Life

    E-Print Network [OSTI]

    Pyeatt, Larry

    learning technique, to the task of controlling the water recovery system of a simulated ALS. The RL agent learns an effective control strategy that extends the mission length to the point that lack of water for finding an optimal control policy for the water recovery sub- system of an ALS system. The control policy

  3. The coordination dynamics of control and learning in a visuomotor tracking task 

    E-Print Network [OSTI]

    Ryu, Young Uk

    2009-05-15

    Two experiments were designed to examine the influence of the strength of perceptionaction coupling on the control and learning of a visuomotor tracking pattern. Participants produced rhythmic elbow flexion-extension motions to learn a visually...

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

    E-Print Network [OSTI]

    Xie, Yuanchang

    2009-05-15

    extensively used in many applications including real-time control. In this dissertation, a systematic comparison between the reinforcement learning control methods and existing adaptive traffic control methods is first presented from the theoretical...

  5. Biological Learning and Control: Shadmehr and Mussa-Ivaldi 1 9 Building generative models: structural learning, and

    E-Print Network [OSTI]

    Shadmehr, Reza

    Biological Learning and Control: Shadmehr and Mussa-Ivaldi 1 9 Building generative models as a function of time (passive dynamics), and as a function of the input (active dynamics). What's more

  6. Machine Learning for Humanoid Robot Modeling and Control /

    E-Print Network [OSTI]

    Wu, Tingfan

    2013-01-01

    Face . . . . . . . . . . . 1.2 Machine Learning ApproachesInternational Conference on Machine Learning (ICML), 2011. [hands. ICRA 2013, 2013. [40] Machine Perception Laboratory.

  7. 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.

  8. 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...

  9. Initial experimental results of a machine learning-based temperature control system for an RF gun

    E-Print Network [OSTI]

    Edelen, A L; Milton, S V; Chase, B E; Crawford, D J; Eddy, N; Edstrom, D; Harms, E R; Ruan, J; Santucci, J K; Stabile, P

    2015-01-01

    Colorado State University (CSU) and Fermi National Accelerator Laboratory (Fermilab) have been developing a control system to regulate the resonant frequency of an RF electron gun. As part of this effort, we present initial test results for a benchmark temperature controller that combines a machine learning-based model and a predictive control algorithm. This is part of an on-going effort to develop adaptive, machine learning-based tools specifically to address control challenges found in particle accelerator systems.

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

    SciTech Connect (OSTI)

    Fountain, Stefanie A.; Chen, Emmie G.; Beech, John F.; Wyatt, Elizabeth E.; Quinn, Tanya B.; Seifert, Robert W.

    2013-07-01

    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)

  11. A dual adaptive control theory inspired by Hebbian associative learning

    E-Print Network [OSTI]

    Poon, Chi-Sang

    Hebbian associative learning is a common form of neuronal adaptation in the brain and is important for many physiological functions such as motor learning, classical conditioning and operant conditioning. Here we show that ...

  12. 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

  13. F-1 1999 SITE ENVIRONMENTAL REPORT APPENDIX F: QUALITY CONTROL TABLES

    E-Print Network [OSTI]

    F-1 1999 SITE ENVIRONMENTAL REPORT APPENDIX F: QUALITY CONTROL TABLES APPENDIX F: Quality Control summarize the results of daily QC checks performed by BNL's Analytical Services Labora- tory (ASL) in 1999 laboratories (H2M, GEL, and STL) that participated in national and/or state PE testing programs during 1999

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

    SciTech Connect (OSTI)

    Owens, C. M.

    2013-09-01

    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.

  15. PLEASE HELP SAVE ENERGY!! Learn how to control the heating system for your room.

    E-Print Network [OSTI]

    Fernández-Juricic, Esteban

    PLEASE HELP SAVE ENERGY!! Learn how to control the heating system for your room. Meredith Hall Steam Heating System Manual steam heat control valve Steam and condensate piping are run to each room. The heat is controlled by a manually adjustable heat control valve on the radiator, which appears in every

  16. Multileaf collimator performance monitoring and improvement using semiautomated quality control testing and statistical process control

    SciTech Connect (OSTI)

    Létourneau, Daniel McNiven, Andrea; Keller, Harald; Wang, An; Amin, Md Nurul; Pearce, Jim; Norrlinger, Bernhard; Jaffray, David A.

    2014-12-15

    Purpose: High-quality radiation therapy using highly conformal dose distributions and image-guided techniques requires optimum machine delivery performance. In this work, a monitoring system for multileaf collimator (MLC) performance, integrating semiautomated MLC quality control (QC) tests and statistical process control tools, was developed. The MLC performance monitoring system was used for almost a year on two commercially available MLC models. Control charts were used to establish MLC performance and assess test frequency required to achieve a given level of performance. MLC-related interlocks and servicing events were recorded during the monitoring period and were investigated as indicators of MLC performance variations. Methods: The QC test developed as part of the MLC performance monitoring system uses 2D megavoltage images (acquired using an electronic portal imaging device) of 23 fields to determine the location of the leaves with respect to the radiation isocenter. The precision of the MLC performance monitoring QC test and the MLC itself was assessed by detecting the MLC leaf positions on 127 megavoltage images of a static field. After initial calibration, the MLC performance monitoring QC test was performed 3–4 times/week over a period of 10–11 months to monitor positional accuracy of individual leaves for two different MLC models. Analysis of test results was performed using individuals control charts per leaf with control limits computed based on the measurements as well as two sets of specifications of ±0.5 and ±1 mm. Out-of-specification and out-of-control leaves were automatically flagged by the monitoring system and reviewed monthly by physicists. MLC-related interlocks reported by the linear accelerator and servicing events were recorded to help identify potential causes of nonrandom MLC leaf positioning variations. Results: The precision of the MLC performance monitoring QC test and the MLC itself was within ±0.22 mm for most MLC leaves and the majority of the apparent leaf motion was attributed to beam spot displacements between irradiations. The MLC QC test was performed 193 and 162 times over the monitoring period for the studied units and recalibration had to be repeated up to three times on one of these units. For both units, rate of MLC interlocks was moderately associated with MLC servicing events. The strongest association with the MLC performance was observed between the MLC servicing events and the total number of out-of-control leaves. The average elapsed time for which the number of out-of-specification or out-of-control leaves was within a given performance threshold was computed and used to assess adequacy of MLC test frequency. Conclusions: A MLC performance monitoring system has been developed and implemented to acquire high-quality QC data at high frequency. This is enabled by the relatively short acquisition time for the images and automatic image analysis. The monitoring system was also used to record and track the rate of MLC-related interlocks and servicing events. MLC performances for two commercially available MLC models have been assessed and the results support monthly test frequency for widely accepted ±1 mm specifications. Higher QC test frequency is however required to maintain tighter specification and in-control behavior.

  17. A biped static balance control and torque pattern learning under unknown periodic external forces

    E-Print Network [OSTI]

    Ito, Satoshi

    A biped static balance control and torque pattern learning under unknown periodic external forces balancing task in which an unknown external force is exerted, using so-called `ankle strategy' model. When an external force is pe- riodic, a human adaptively maintains the balance, next learns how much force should

  18. Exploiting Sensorimotor Stochasticity for Learning Control of Variable Impedance Actuators

    E-Print Network [OSTI]

    Vijayakumar, Sethu

    learning paradigm to acquire both the process dynamics as well as the stochastic properties. This enables a framework of learning and adaptation processes [18], [7]. In this paper, we focus on issues related to the task demands, trading off selectively against energy consumption. For example, when you use a drilling

  19. Exploring former interaction qualities for tomorrow's control room design

    E-Print Network [OSTI]

    Reiterer, Harald

    .g. in power plants or industrial production plants. One essential task in operating control rooms consists by virtual control elements that are operated through desktop computers. However this kind of interaction between power and reality as stated by Jacob et al. (2008): While digitization gave control rooms more

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

    E-Print Network [OSTI]

    Kretchmar, R. Matthew

    Reinforcement Learning, Neural Networks and PI Control Applied to a Heating Coil Charles W,along@lamar.colostate.edu Abstract An accurate simulation of a heating coil is used to compare the performance of a PI controller networks and other artificial intelligence techniques to the control of heating and air

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

    E-Print Network [OSTI]

    Anderson, Charles W.

    Synthesis of Reinforcement Learning, Neural Networks, and PI Control Applied to a Simulated Heating to the control of heating and air-conditioning systems.4,5,8 In this article, three approaches to improving) controlleris appliedto the simulated heating coil and the controller's proportional and integral gains are set

  2. 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.

  3. 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.

  4. QUALITY PREDICTION AND CONTROL IN ROLLING PROCESSES USING LOGISTIC REGRESSION

    E-Print Network [OSTI]

    Li, Jing

    information about the process and product, it is a challenging task to develop a systematic method to model minimum number of process variables in the model, based on which product qualities can be adequately) to collect abundant information of the process, it now becomes possible for knowledge discovery

  5. Erosion Control Progress in the HUA IDAHO SNAKE-PAYETTE RIVERS --HUA WATER QUALITY PROJECT FINAL REPORT

    E-Print Network [OSTI]

    O'Laughlin, Jay

    Erosion Control Progress in the HUA IDAHO SNAKE-PAYETTE RIVERS -- HUA WATER QUALITY PROJECT FINAL water quality within the HUA used in #12;2 -- Erosion Control IDAHO SNAKE-PAYETTE RIVERS -- HUA WATER from farms­thus improving surface water quality. The technologies used to improve erosion control

  6. Documenting Visual Quality Controls on the Evaluation of Petroleum Reservoir-rocks through

    E-Print Network [OSTI]

    Oliveira, Manuel M.

    , natural gas or water ­ and their permeability ­ the amount of such fluids that can flow through a rockDocumenting Visual Quality Controls on the Evaluation of Petroleum Reservoir-rocks through Ontology and prediction of the quality (porosity, permeability) of petroleum reservoirs during their exploration

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

    SciTech Connect (OSTI)

    Moore, S.T.

    2004-12-14

    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.

  8. Quality Control, Standardization of Upgrades, and Workforce Expectations |

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i nAandSummary From: Julia Hammand DistributionDepartmentQuality

  9. 5 CCR 1001 - Air Quality Control | Open Energy Information

    Open Energy Info (EERE)

    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 on QA:QA J-E-1 SECTION JEnvironmental Jump to:EAand Dalton JumpProgram | Open Energy Information 55 et - Air Quality

  10. 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.

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

    E-Print Network [OSTI]

    Kolter, J. Zico

    Design, Analysis, and Learning Control of a Fully Actuated Micro Wind Turbine J. Zico Kolter, Zachary Jackowski, Russ Tedrake* Abstract-- Wind power represents one of the most promising sources of renewable energy, and improvements to wind turbine design and control can have a significant impact

  12. 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

  13. 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

  14. Low-Emissions Exhaust Quality Control System to Optimize

    E-Print Network [OSTI]

    ) improve flexibility in deployment of a given suite of prime mover/waste heat recovery options, and (3 10 percent. Potential adopters of this exhaust control technology include industrial and commercial and end-use equipment (Image credit: UC Irvine) While the potential benefits of distributed generation

  15. Quality Procedure - Memo/Correspondence Control and Tracking | Department

    Energy Savers [EERE]

    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 on DeliciousMathematicsEnergyInterested PartiesBuildingBudget || DepartmentPutting Solar-ServicesControlLessonsofof

  16. 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...

  17. Learning Control Algorithms: Convergence and Anatoly A. Pervozvanskii

    E-Print Network [OSTI]

    Avrachenkov, Konstantin

    of Mechanics and Control Processes St.Petersburg State Technical University St.Petersburg, Russia e simple and nat- ural: the control scheme should use information about errors from the previous cycles

  18. Water Quality Improvement Policies: Lessons Learned from the Implementation of Proposition O in Los Angeles, California

    E-Print Network [OSTI]

    Park, Mi-Hyun; Stenstrom, Michael; Pincetl, Stephanie

    2009-01-01

    Stenstrom MK (1999) Storm-water impact. Available at http://ENVIRONMENTAL ASSESSMENT Water Quality Improvement Policies:under the federal Clean Water Act. Funding water quality

  19. 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.

    2004-09-14

    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.

  20. Real-Time Control of Diesel Combustion Quality

    SciTech Connect (OSTI)

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

    2010-06-30

    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.

  1. The Impact of Quality Control Scrap and Rework Reduction on Energy Use 

    E-Print Network [OSTI]

    Otis, P. T.; Triantis, K. P.

    2015-01-01

    June 4, 2015 ESL-IE-15-06-30a Proceedings of the Thrity-Seventh Industrial Energy Technology Conference New Orleans, LA. June 2-4, 2015 Overview • Quality control concepts – Importance of quality control for energy savings – The hidden factory...: monitoring the costs of scrap and rework • Analysis of scrap & rework costs using factory data Paul Otis, New Orleans, LA June 3, 2015 2 ESL-IE-15-06-30a Proceedings of the Thrity-Seventh Industrial Energy Technology Conference New Orleans, LA...

  2. Subtask 2.12 - Air Quality Assessment and Control

    SciTech Connect (OSTI)

    Laura Raymond

    2007-07-30

    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.

  3. 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

  4. Using the Air Void Analyzer for Real-Time Quality Control Adjustments

    E-Print Network [OSTI]

    May 2006 Using the Air Void Analyzer for Real-Time Quality Control Adjustments in the Field Tech Brief by Jim Grove, P.E. Bob Steffes Mark Anderson-Wilk Overview of the Air Void Analyzer The air void analyzer (AVA) with its independent isolation base can be used to accurately evaluate the air void system

  5. Investigation of Alternative Strategies and Quality Measures for Controlling the Growth Process of the

    E-Print Network [OSTI]

    Rauber,Andreas

    Investigation of Alternative Strategies and Quality Measures for Controlling the Growth Process P¨olzlbauer Department of Software Technology and Interactive Systems Vienna University of Technology Favoritenstra�e 9­11/188, A-1040 Wien, Austria E-mail: rauber,poelzlbauer¡ @ifs

  6. 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

  7. A climatology-based quality control procedure for profiling float oxygen data

    E-Print Network [OSTI]

    Riser, Stephen C.

    A climatology-based quality control procedure for profiling float oxygen data Yuichiro Takeshita,1 to a climatology derived from ship-based bottle and CTD data [Wong et al., 2003; Bohme and Send, 2005; Owens for profiling float oxygen data based on comparing float data to a monthly climatology and therefore driving

  8. DATA META FILE 2006 This file describes the instrumentation, field setup, and quality control procedures

    E-Print Network [OSTI]

    Minnesota, University of

    DDOY - - - 4 Time (hour/minute) - - - 5 Solar radiation (K) W/m² Eppley PSP 3.7 m 6 Net radiation (Rn best measure/quality control of the climate variables to date and is subject to revision. See dates

  9. DATA META FILE 2007 This file describes the instrumentation, field setup, and quality control procedures

    E-Print Network [OSTI]

    Minnesota, University of

    DDOY - - - 4 Time (hour/minute) - - - 5 Solar radiation (K) W/m² Eppley PSP 3.7 m 6 Net radiation (Rn best measure/quality control of the climate variables to date and is subject to revision. See dates

  10. DATA META FILE 2005 This file describes the instrumentation, field setup, and quality control procedures

    E-Print Network [OSTI]

    Minnesota, University of

    DDOY - - - 4 Time (hour/minute) - - - 5 Solar radiation (K) W/m² Eppley PSP 3.7 m 6 Net radiation (Rn best measure/quality control of the climate variables to date and is subject to revision. See dates

  11. Reinforcement Learning-Based Control of Residential Energy Storage Systems for Electric

    E-Print Network [OSTI]

    Pedram, Massoud

    Reinforcement Learning-Based Control of Residential Energy Storage Systems for Electric Bill}@usc.edu Abstract--Incorporating residential-level photovoltaic energy generation and energy storage systems have consumer. This is particular true under dynamic energy prices, where consumers can use PV-based generation

  12. 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

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

    E-Print Network [OSTI]

    Tsao, Tsu-Chin

    such as the impact test, creep test, tensile compression test and fatigue test, etc. Among others, the tensileREPETITIVE LEARNING OF BACKSTEPPING CONTROLLED NONLINEAR ELECTROHYDRAULIC MATERIAL TESTING SYSTEM1 tracking performance. This approach is applied to an electrohydraulic material testing system, in which

  14. Quality assurance/quality control summary report for Phase 1 of the Clinch River remedial investigation. Environmental Restoration Program

    SciTech Connect (OSTI)

    Holladay, S.K.; Bevelhimer, M.S.; Brandt, C.C.

    1994-07-01

    The Clinch River Remedial Investigation (CRRI) is designed to address the transport, fate, and distribution of waterborne contaminants released from the US Department of Energy Oak Ridge Reservation and to assess potential risks to human health and the environment associated with these contaminants. Primary areas of investigation are Melton Hill Reservoir, the Clinch River from Melton Hill Dam to its confluence with the Tennessee River, Poplar Creek, and Watts Bar Reservoir. Phase 1 of the CRRI was a preliminary study in selected areas of the Clinch River/Watts Bar Reservoir. Fish, sediment, and water samples were collected and analyzed for inorganic, organic, and radiological parameters. Phase 1 was designed to (1) obtain high-quality data to confirm existing historical data for contaminant levels; (2) determine the range of contaminant concentrations present in the river-reservoir system; (3) identify specific contaminants of concern; and (4) establish the reference (background) concentrations for those contaminants. Quality assurance (QA) objectives for Phase I were that (1) scientific data generated would withstand scientific scrutiny; (2) data would be gathered using appropriate procedures for field sampling, chain-of-custody, laboratory analyses, and data reporting; and (3) data would be of known precision and accuracy. These objectives were met through the development and implementation of (1) a QA oversight program of audits and surveillances; (2) standard operating procedures accompanied by a training program; (3) field sampling and analytical laboratory quality control requirements; (4) data and records management systems; and (5) validation of the data by an independent reviewer. Approximately 1700 inorganic samples, 1500 organic samples, and 2200 radiological samples were analyzed and validated. The QA completeness objective for the project was to obtain valid analytical results for at least 95% of the samples collected.

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

    SciTech Connect (OSTI)

    Moore, Sean; Hughes, Gary

    2008-07-31

    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.

  16. Quality of epitaxial InAs nanowires controlled by catalyst size in molecular beam epitaxy

    SciTech Connect (OSTI)

    Zhang, Zhi; Xu, Hong-Yi; Guo, Ya-Nan; Liao, Zhi-Ming; Lu, Zhen-Yu; Chen, Ping-Ping; Shi, Sui-Xing; Lu, Wei; Zou, Jin; Centre for Microscopy and Microanalysis, The University of Queensland, St. Lucia, Queensland 4072

    2013-08-12

    In this study, the structural quality of Au-catalyzed InAs nanowires grown by molecular beam epitaxy is investigated. Through detailed electron microscopy characterizations and analysis of binary Au-In phase diagram, it is found that defect-free InAs nanowires can be induced by smaller catalysts with a high In concentration, while comparatively larger catalysts containing less In induce defected InAs nanowires. This study indicates that the structural quality of InAs nanowires can be controlled by the size of Au catalysts when other growth conditions remain as constants.

  17. Assessing Quality of Instruction, Student Learning, and Satisfaction for Student at a Distance 

    E-Print Network [OSTI]

    Chang, Ruei-Ping

    2013-08-12

    , 2005, p. 284). 8 Learner-technology interactions ? ?examples of learner-to-technology interactions include online tutorials on how to use educational technology, getting help online, downloading plug-ins, installing software, file management...?How technology help student in learning such as using online tutorials, getting help online, file management. In addition, the vicarious interaction which are maximized learning and satisfaction occurs when four interactions overlapping (see Figure 1...

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

    E-Print Network [OSTI]

    Teng, Kuo-Tai

    2014-01-01

    In Ad- vanced Intelligent Mechatronics (AIM), Jul. 2012, pp.in Digital Control. ” Mechatronics, IEEE/ASME TransactionsThe labmates in Mechatronics and Controls Laboratory also

  19. Creating a Reinforcement Learning Controller for Functional Electrical Stimulation Control of a Human Arm

    E-Print Network [OSTI]

    Branicky, Michael S.

    of a Human Arm Philip Thomas1; Antonie van den Bogert, Ph.D.2,3; Kathleen Jagodnik2,3; Michael Branicky, Sc on Dynamic Arm Simulator 1 Setup · Initial tests showed that the actor-critic was capable of learning to different arm dynamics. · Both actor and critic were artificial neural networks. The actor had 10 neurons

  20. Rapid evaluation and quality control of next generation sequencing data with FaQCs

    SciTech Connect (OSTI)

    Lo, Chien -Chi; Chain, Patrick S. G.

    2014-12-01

    Background: Next generation sequencing (NGS) technologies that parallelize the sequencing process and produce thousands to millions, or even hundreds of millions of sequences in a single sequencing run, have revolutionized genomic and genetic research. Because of the vagaries of any platform's sequencing chemistry, the experimental processing, machine failure, and so on, the quality of sequencing reads is never perfect, and often declines as the read is extended. These errors invariably affect downstream analysis/application and should therefore be identified early on to mitigate any unforeseen effects. Results: Here we present a novel FastQ Quality Control Software (FaQCs) that can rapidly process large volumes of data, and which improves upon previous solutions to monitor the quality and remove poor quality data from sequencing runs. Both the speed of processing and the memory footprint of storing all required information have been optimized via algorithmic and parallel processing solutions. The trimmed output compared side-by-side with the original data is part of the automated PDF output. We show how this tool can help data analysis by providing a few examples, including an increased percentage of reads recruited to references, improved single nucleotide polymorphism identification as well as de novo sequence assembly metrics. Conclusion: FaQCs combines several features of currently available applications into a single, user-friendly process, and includes additional unique capabilities such as filtering the PhiX control sequences, conversion of FASTQ formats, and multi-threading. The original data and trimmed summaries are reported within a variety of graphics and reports, providing a simple way to do data quality control and assurance.

  1. Rapid evaluation and quality control of next generation sequencing data with FaQCs

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Lo, Chien -Chi; Chain, Patrick S. G.

    2014-12-01

    Background: Next generation sequencing (NGS) technologies that parallelize the sequencing process and produce thousands to millions, or even hundreds of millions of sequences in a single sequencing run, have revolutionized genomic and genetic research. Because of the vagaries of any platform's sequencing chemistry, the experimental processing, machine failure, and so on, the quality of sequencing reads is never perfect, and often declines as the read is extended. These errors invariably affect downstream analysis/application and should therefore be identified early on to mitigate any unforeseen effects. Results: Here we present a novel FastQ Quality Control Software (FaQCs) that can rapidly processmore »large volumes of data, and which improves upon previous solutions to monitor the quality and remove poor quality data from sequencing runs. Both the speed of processing and the memory footprint of storing all required information have been optimized via algorithmic and parallel processing solutions. The trimmed output compared side-by-side with the original data is part of the automated PDF output. We show how this tool can help data analysis by providing a few examples, including an increased percentage of reads recruited to references, improved single nucleotide polymorphism identification as well as de novo sequence assembly metrics. Conclusion: FaQCs combines several features of currently available applications into a single, user-friendly process, and includes additional unique capabilities such as filtering the PhiX control sequences, conversion of FASTQ formats, and multi-threading. The original data and trimmed summaries are reported within a variety of graphics and reports, providing a simple way to do data quality control and assurance.« less

  2. Photoluminescence-based quality control for thin film absorber layers of photovoltaic devices

    DOE Patents [OSTI]

    Repins, Ingrid L.; Kuciauskas, Darius

    2015-07-07

    A time-resolved photoluminescence-based system providing quality control during manufacture of thin film absorber layers for photovoltaic devices. The system includes a laser generating excitation beams and an optical fiber with an end used both for directing each excitation beam onto a thin film absorber layer and for collecting photoluminescence from the absorber layer. The system includes a processor determining a quality control parameter such as minority carrier lifetime of the thin film absorber layer based on the collected photoluminescence. In some implementations, the laser is a low power, pulsed diode laser having photon energy at least great enough to excite electron hole pairs in the thin film absorber layer. The scattered light may be filterable from the collected photoluminescence, and the system may include a dichroic beam splitter and a filter that transmit the photoluminescence and remove scattered laser light prior to delivery to a photodetector and a digital oscilloscope.

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

    E-Print Network [OSTI]

    Castelão, Guilherme P

    2015-01-01

    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.

  4. DATA META FILE 2009 This file describes the instrumentation, field setup, and quality control procedures

    E-Print Network [OSTI]

    Minnesota, University of

    measure/quality control of the climate variables to date and is subject to revision. See dates above for field sites G21 and G19: Column Variable Units Instrument *Notes 1 DDOY, decimal day of year 2 Solar radiation (K) W/m2 Eppley PSP 3.7 m 3 Net radiation (Rn) W/m2 Kipp&Zonen Components 3.7 m 4 Ground heat flux

  5. DATA META FILE 2008 This file describes the instrumentation, field setup, and quality control procedures

    E-Print Network [OSTI]

    Minnesota, University of

    measure/quality control of the climate variables to date and is subject to revision. See dates above for field sites G21 and G19: Column Variable Units Instrument *Notes 1 DDOY, decimal day of year 2 Solar radiation (K) W/m2 Eppley PSP 3.7 m 3 Net radiation (Rn) W/m2 Kipp&Zonen Components 3.7 m 4 Ground heat flux

  6. DATA META FILE 2010 This file describes the instrumentation, field setup, and quality control procedures

    E-Print Network [OSTI]

    Minnesota, University of

    measure/quality control of the climate variables to date and is subject to revision. See dates above for field sites G21 and G19: Column Variable Units Instrument *Notes 1 DDOY, decimal day of year 2 Solar radiation (K) W/m2 Eppley PSP 3.7 m 3 Net radiation (Rn) W/m2 Kipp&Zonen Components 3.7 m 4 Ground heat flux

  7. Rapid transfer of controllers between UAVs using learning-based adaptive control

    E-Print Network [OSTI]

    Chowdhary, Girish

    Commonly used Proportional-Integral-Derivative based UAV flight controllers are often seen to provide adequate trajectory-tracking performance, but only after extensive tuning. The gains of these controllers are tuned to ...

  8. 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.

  9. SU-E-T-103: Development and Implementation of Web Based Quality Control Software

    SciTech Connect (OSTI)

    Studinski, R; Taylor, R; Angers, C; La Russa, D; Clark, B [The Ottawa Hospital Regional Cancer Ctr., Ottawa, ON (Canada)

    2014-06-01

    Purpose: Historically many radiation medicine programs have maintained their Quality Control (QC) test results in paper records or Microsoft Excel worksheets. Both these approaches represent significant logistical challenges, and are not predisposed to data review and approval. It has been our group's aim to develop and implement web based software designed not just to record and store QC data in a centralized database, but to provide scheduling and data review tools to help manage a radiation therapy clinics Equipment Quality control program. Methods: The software was written in the Python programming language using the Django web framework. In order to promote collaboration and validation from other centres the code was made open source and is freely available to the public via an online source code repository. The code was written to provide a common user interface for data entry, formalize the review and approval process, and offer automated data trending and process control analysis of test results. Results: As of February 2014, our installation of QAtrack+ has 180 tests defined in its database and has collected ?22 000 test results, all of which have been reviewed and approved by a physicist via QATrack+'s review tools. These results include records for quality control of Elekta accelerators, CT simulators, our brachytherapy programme, TomoTherapy and Cyberknife units. Currently at least 5 other centres are known to be running QAtrack+ clinically, forming the start of an international user community. Conclusion: QAtrack+ has proven to be an effective tool for collecting radiation therapy QC data, allowing for rapid review and trending of data for a wide variety of treatment units. As free and open source software, all source code, documentation and a bug tracker are available to the public at https://bitbucket.org/tohccmedphys/qatrackplus/.

  10. PAPA--Univ. Calif. IPM Program--SF Bay Water Quality Control Board Integrated Pest Management for Landscapes and Public Agencies Seminar

    E-Print Network [OSTI]

    Ishida, Yuko

    PAPA--Univ. Calif. IPM Program--SF Bay Water Quality Control Board Integrated Pest Management Quality Janet O'Hara, Water Resource Control Engineer, SFB Water Quality Control Board 9:05 IPM Update - Ag Commissioner's Office Representative 8:30 New Regulations Related to Pesticides and Water

  11. To appear in the Proceedings of the World Multiconference on Systemics, Cybernetics, and Informatics (CSI'97), Caracas, Venezuela, July 1997. Learning of ParameterAdaptive Reactive Controllers for Robotic

    E-Print Network [OSTI]

    , and Informatics (CSI'97), Caracas, Venezuela, July 1997. Learning of Parameter­Adaptive Reactive Controllers

  12. The Physical Model in Action: Quality Control for X-Shooter

    E-Print Network [OSTI]

    Moehler, Sabine; Kerber, Florian; Modigliani, Andrea; Vernet, Joel

    2010-01-01

    The data reduction pipeline for the VLT 2nd generation instrument X-Shooter uses a physical model to determine the optical distortion and derive the wavelength calibration. The parameters of this model describe the positions, orientations, and other physical properties of the optical components in the spectrograph. They are updated by an optimisation process that ensures the best possible fit to arc lamp line positions. ESO Quality Control monitors these parameters along with all of the usual diagnostics. This enables us to look for correlations between inferred physical changes in the instrument and, for example, instrument temperature sensor readings.

  13. 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)

    2012-07-10

    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.

  14. File:Colorado Water Quality Control Act.pdf | Open Energy Information

    Open Energy Info (EERE)

    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 on QA:QAsource History View New Pages Recent Changes AllApschem.pdf Jump to:Colorado Water Quality Control Act.pdf Jump

  15. Analytical quality control of products from conversion of methanol to motor fuel components

    SciTech Connect (OSTI)

    Agabalyan, L.G.; Bondareva, G.V.; Fadeev, V.S.

    1985-12-01

    In the gas-chromatographic analysis of gaseous products and aqueous products and aqueous solutions containing methanol and other highpolarity compounds, supports based on polymeric materials are used. These supports have hydrophobic surfaces, relatively low adsorption capacity and no catalytic activity. The work reported in this paper was aimed at the development of analytical procedures for quality control of the feed (methanol-water mixture) and reaction products in the testing volume required in development of experimental-commercial process technology of motor fuel synthesis from methanol. The objects of investigation were the feed and products in methanol conversion to gasoline. These materials were obtained in a semiworks unit. Analytical control of the feed and products in the manufacture of synthetic gasoline from methanol can be accomplished, it is shown, by combining fluorescent indicator analysis, gas chromatography with a back-purge, and capillary chromatography.

  16. Design, Analysis, and Learning Control of a Robotic Wind Turbine J. Zico Kolter, Zachary Jackowski, Russ Tedrake*

    E-Print Network [OSTI]

    Jackson, Daniel

    Design, Analysis, and Learning Control of a Robotic Wind Turbine J. Zico Kolter, Zachary Jackowski, Russ Tedrake* Abstract-- Wind power represents one of the most promising sources of renewable energy, and improvements to wind turbine design and control can have a significant impact on energy sustainability

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

    SciTech Connect (OSTI)

    Streit, G.E.

    1993-06-01

    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.

  18. Using a Ventilation Controller to Optimize Residential Passive Ventilation For Energy and Indoor Air Quality

    SciTech Connect (OSTI)

    Turner, William; Walker, Iain

    2014-08-01

    One way to reduce the energy impact of providing residential ventilation is to use passive and hybrid systems. However, these passive and hybrid (sometimes called mixed-mode) systems must still meet chronic and acute health standards for ventilation. This study uses a computer simulation approach to examine the energy and indoor air quality (IAQ) implications of passive and hybrid ventilation systems, in 16 California climate zones. Both uncontrolled and flow controlled passive stacks are assessed. A new hybrid ventilation system is outlined that uses an intelligent ventilation controller to minimise energy use, while ensuring chronic and acute IAQ standards are met. ASHRAE Standard 62.2-2010 – the United States standard for residential ventilation - is used as the chronic standard, and exposure limits for PM2.5, formaldehyde and NO2 are used as the acute standards.The results show that controlled passive ventilation and hybrid ventilation can be used in homes to provide equivalent IAQ to continuous mechanical ventilation, for less use of energy.

  19. 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

    2014-05-01

    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.

  20. Controllable high-quality electron beam generation by phase slippage effect in layered targets

    SciTech Connect (OSTI)

    Yu, Q.; Li, X. F.; Huang, S.; Zhang, F.; Kong, Q.; Gu, Y. J.; Ma, Y. Y.; Kawata, S.

    2014-11-15

    The bubble structure generated by laser-plasma interactions changes in size depending on the local plasma density. The self-injection electrons' position with respect to wakefield can be controlled by tailoring the longitudinal plasma density. A regime to enhance the energy of the wakefield accelerated electrons and to improve the beam quality is proposed and achieved using layered plasmas with increasing densities. Both the wakefield size and the electron bunch duration are significantly contracted in this regime. The electrons remain in the strong acceleration phase of the wakefield, while their energy spread decreases because of their tight spatial distribution. An electron beam of 0.5?GeV with less than 1% energy spread is obtained through 2.5D particle-in-cell simulations.

  1. Unhappy with internal corporate search? : learn tips and tricks for building a controlled vocabulary ontology.

    SciTech Connect (OSTI)

    Arpin, Bettina Karin Schimanski; Jones, Brian S.; Bemesderfer, Joy; Ralph, Mark E.; Miller, Jennifer L

    2010-06-01

    Are your employees unhappy with internal corporate search? Frequent complaints include: too many results to sift through; results are unrelated/outdated; employees aren't sure which terms to search for. One way to improve intranet search is to implement a controlled vocabulary ontology. Employing this takes the guess work out of searching, makes search efficient and precise, educates employees about the lingo used within the corporation, and allows employees to contribute to the corpus of terms. It promotes internal corporate search to rival its superior sibling, internet search. We will cover our experiences, lessons learned, and conclusions from implementing a controlled vocabulary ontology at Sandia National Laboratories. The work focuses on construction of this ontology from the content perspective and the technical perspective. We'll discuss the following: (1) The tool we used to build a polyhierarchical taxonomy; (2) Examples of two methods of indexing the content: traditional 'back of the book' and folksonomy word-mapping; (3) Tips on how to build future search capabilities while building the basic controlled vocabulary; (4) How to implement the controlled vocabulary as an ontology that mimics Google's search suggestions; (5) Making the user experience more interactive and intuitive; and (6) Sorting suggestions based on preferred, alternate and related terms using SPARQL queries. In summary, future improvements will be presented, including permitting end-users to add, edit and remove terms, and filtering on different subject domains.

  2. 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

  3. 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

  4. Quality control procedures for dynamic treatment delivery techniques involving couch motion

    SciTech Connect (OSTI)

    Yu, Victoria Y.; Fahimian, Benjamin P.; Xing, Lei; Hristov, Dimitre H.

    2014-08-15

    In this study, the authors introduce and demonstrate quality control procedures for evaluating the geometric and dosimetric fidelity of dynamic treatment delivery techniques involving treatment couch motion synchronous with gantry and multileaf collimator (MLC). Tests were designed to evaluate positional accuracy, velocity constancy and accuracy for dynamic couch motion under a realistic weight load. A test evaluating the geometric accuracy of the system in delivering treatments over complex dynamic trajectories was also devised. Custom XML scripts that control the Varian TrueBeam™ STx (Serial #3) axes in Developer Mode were written to implement the delivery sequences for the tests. Delivered dose patterns were captured with radiographic film or the electronic portal imaging device. The couch translational accuracy in dynamic treatment mode was 0.01 cm. Rotational accuracy was within 0.3°, with 0.04 cm displacement of the rotational axis. Dose intensity profiles capturing the velocity constancy and accuracy for translations and rotation exhibited standard deviation and maximum deviations below 3%. For complex delivery involving MLC and couch motions, the overall translational accuracy for reproducing programmed patterns was within 0.06 cm. The authors conclude that in Developer Mode, TrueBeam™ is capable of delivering dynamic treatment delivery techniques involving couch motion with good geometric and dosimetric fidelity.

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

    SciTech Connect (OSTI)

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

    2002-10-01

    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.

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

    SciTech Connect (OSTI)

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

    2001-12-03

    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.

  7. PRECIPITATION CLIMATOLOGY IN COLORADO Compile and quality control a nine-year archive (2002-2011) of operational surface

    E-Print Network [OSTI]

    PRECIPITATION CLIMATOLOGY IN COLORADO TASK: Compile and quality control a nine-year archive (2002-2011) of operational surface precipitation and radar observations from the regional domain shown in Figure below. Our aim is to document patterns of cloud and precipitation characteristics as they vary across

  8. 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

    2014-08-20

    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.

  9. Results of The Excreta Bioassay Quality Control Program For April 1, 2008 through March 31, 2009

    SciTech Connect (OSTI)

    Antonio, Cheryl L.

    2010-06-01

    A total of 62 urine samples and 6 spiked fecal samples were submitted during the report period (April 1, 2008 through March 31, 2009) 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. 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 34% 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. IDP concluded that GEL was performing well for all analyses tested, and concerns identified earlier were satisfactorily resolved (see section on Follow-up on Concerns During the Fourth Contract Year).

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

    SciTech Connect (OSTI)

    Antonio, Cheryl L.

    2012-07-19

    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).

  11. A Quality Control Concept for Radar Reflectivity, Polarimetric Parameters, and Doppler Velocity

    E-Print Network [OSTI]

    Raumfahrt, Oberpfaffenhofen, Wessling, Germany THOMAS EINFALT einfalt&hydrotec GbR, Lübeck, Germany non-weather-related objects, and attenuation of electromagnetic energy by hydrometeors on the quality in the Alpine foreland in southern Germany. 1. Introduction Quality characterization of observational data

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

    SciTech Connect (OSTI)

    Peppler, R

    2012-06-26

    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.

  13. Social Learning, Social Control, and Strain Theories: A Formalization of Micro-level Criminological Theories

    E-Print Network [OSTI]

    Proctor, Kristopher Ryan

    2010-01-01

    the scope of social control theory in explaining delinquent4 Social Control Theory…………..………………………………. ………..…63of value consensus in control theory 2 , while others defi

  14. Development of quality control procedures for mass produced and released Bactrocera Philippinensis (Diptera: Tephritidae) for sterile insect technique programs

    SciTech Connect (OSTI)

    Resilva, S.; Obra, G.; Zamora, N.; Gaitan, E.

    2007-03-15

    Quality control procedures for Bactrocera philippinensis Drew and Hancock 1994 (Diptera: Tephritidae) used in sterile insect technique (SIT) programs were established in the mass rearing facility at the Philippine Nuclear Research Institute. Basic studies on pupal irradiation, holding/packaging systems, shipping procedures, longevity, sterility studies, and pupal eye color determination in relation to physiological development at different temperature regimes were investigated. These studies will provide baseline data for the development of quality control protocols for an expansion of B. philippinensis field programs with an SIT component in the future. (author) [Spanish] Los procedimientos de control de calidad para Bactrocera philippinensis Drew y Hancock 1994 (Diptera: Tephritidae) usados en programas de la tecnica de insecto esteril (TIE) fueron establecidos en la facilidad de cria en masa del Instituto Filipino de Investigacion Nuclear. Estudios basicos sobre la irradiacion de las pupas, sistemas de almacenaje/empaque, procedimientos del envio, longevidad, estudios de esterilidad y la determinacion del color de ojo de la pupa en relacion con el desarrollo fisiologico en regimenes diferentes de temperatura fueron investigados. Estos estudios proveeran una linea de informacion basica para el desarrollo de protocolos de control de calidad para una expansion de los programas de campo para B. philippinensis con un componente de TIS en el futuro. (author)

  15. Controlling Small Fixed Wing UAVs to Optimize Image Quality from On-Board Cameras

    E-Print Network [OSTI]

    Jackson, Stephen Phillip

    2011-01-01

    Planning UAV Paths that Optimize Image4.3 Direct Control of a UAV’s Sensor Footprint . . . . .foot zagi UAV. . . . . . . . . . . . . . . . Conventional

  16. 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

    2010-01-01

    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 ...

  17. 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.

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

    E-Print Network [OSTI]

    Ramamritham, Krithi

    , Sweden gerhard.fohler@mdh.se Krithi Ramamritham Computer Science and Engineering Dept. IIT Mumbai, India theory, it is standard practice [1] that control activities are mapped into periodic tasks characterized

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

    E-Print Network [OSTI]

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

    1993-01-01

    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...

  20. Controlling Small Fixed Wing UAVs to Optimize Image Quality from On-Board Cameras

    E-Print Network [OSTI]

    Jackson, Stephen Phillip

    2011-01-01

    and Control with Unmanned Aerial Vehicles. PhD thesis,for small unmanned aerial vehicles: A survey. InternationalJohn Doe. The unmanned aerial vehicles (uav) market 2010-

  1. Engineering Applications of Artificial Intelligence 16 (2003) 237250 Hierarchical decision making for proactive quality control: system

    E-Print Network [OSTI]

    Huang, Yinlun

    2003-01-01

    Engineering Applications of Artificial Intelligence 16 (2003) 237­250 Hierarchical decision making by resorting to artificial intelligence and engineering fundamentals. The approach is developed for solving control; Intelligent decision support; Artificial intelligence; Fuzzy logic; Automotive coating 1

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

    E-Print Network [OSTI]

    Termine, F.; Jordan, S. T.

    1985-01-01

    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 ...

  3. Intelligent Information, Monitoring, and Control Technology of Industrial Process Applications

    E-Print Network [OSTI]

    Taylor, James H.

    -based reasoning, on-line learning, automated process optimization and model identification, robust control and increasingly massive information overload. The automation of AEM within an information and control, enhance safety, and improve product quality. An integrated control and AEM system involves several sub

  4. 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.

  5. 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...

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

    E-Print Network [OSTI]

    Valle Aguilar, Jorge Luis

    1984-01-01

    of strength variations in concrete Fly ash in ready mixed concrete Statistical Inference Hypothesis testing . Analysis of variance Duality control charts Linear regression and correlation Page 10 12 15 17 18 19 20 22 24 24 24 26 27 CHAPTER... Comparison of variances (o') for different ready mixed plants Comparison of means (X) and variances (o'). Comparison of means (7J) and variances (o') for various mix designs, f'c = 3000 psi Comparison of means (X) and variances (o') for mix designs...

  7. 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

    2014-04-01

    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.

  8. Improved Adaptive-Reinforcement Learning Control for Morphing Unmanned Air Vehicles

    E-Print Network [OSTI]

    Valasek, John

    Composite Wing & Fuselage VLA Active Aero & Structures Low-Boom Supersonic Transport(s) Intelligent Personal electric motors · Integrated advanced control systems and information technology · Central "nervous system

  9. 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)

    2014-12-15

    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.

  10. Postdoc position in machine learning for robot movement control ERC Starting Grant Project CONT-ACT

    E-Print Network [OSTI]

    information drives the development of high-performance, adaptive and robust planning and control methods year (renewable up to 3 years) Starting Date: June 1st or later Evaluation of candidates starts

  11. New process modeling [sic], design, and control strategies for energy efficiency, high product quality, and improved productivity in the process industries. Final project report

    SciTech Connect (OSTI)

    Ray, W. Harmon

    2002-06-05

    This project was concerned with the development of process design and control strategies for improving energy efficiency, product quality, and productivity in the process industries. In particular, (i) the resilient design and control of chemical reactors, and (ii) the operation of complex processing systems, was investigated. Specific topics studied included new process modeling procedures, nonlinear controller designs, and control strategies for multiunit integrated processes. Both fundamental and immediately applicable results were obtained. The new design and operation results from this project were incorporated into computer-aided design software and disseminated to industry. The principles and design procedures have found their way into industrial practice.

  12. 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

  13. Quantum Learning Machine

    E-Print Network [OSTI]

    Jeongho Bang; James Lim; M. S. Kim; Jinhyoung Lee

    2008-03-31

    We propose a novel notion of a quantum learning machine for automatically controlling quantum coherence and for developing quantum algorithms. A quantum learning machine can be trained to learn a certain task with no a priori knowledge on its algorithm. As an example, it is demonstrated that the quantum learning machine learns Deutsch's task and finds itself a quantum algorithm, that is different from but equivalent to the original one.

  14. 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

    2014-10-20

    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.

  15. Aalborg Universitet Learning control for riser-slug elimination and production-rate optimization for an

    E-Print Network [OSTI]

    Yang, Zhenyu

    for an offshore oil and gas production process Pedersen, Simon; Løhndorf, Petar Durdevic; Yang, Zhenyu Published control for riser-slug elimination and production-rate optimization for an offshore oil and gas production for an offshore oil and gas production process Simon Pedersen Petar Durdevic and Zhenyu Yang Department

  16. An Intelligent Battery Controller Using Bias-Corrected Q-learning

    E-Print Network [OSTI]

    Powell, Warren B.

    to renewables requires storage to help smooth short-term variations in energy from wind and solar sources is a fundamental control problem in energy systems, exacerbate the issue to a degree that has not been observed as a Markov decision process with state St = (rt, pt) where rt is the energy level in the battery (the

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

    E-Print Network [OSTI]

    Simard, C; Rice, Ronald E

    2006-01-01

    seeking continuous improvement of production processes toproduction process and customer information Low Total Quality Learning: continuous

  18. 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.

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

    SciTech Connect (OSTI)

    Foppe, T.L.; Olinger, S.J.

    1999-06-01

    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.

  20. WE-D-9A-06: Open Source Monitor Calibration and Quality Control Software for Enterprise Display Management

    SciTech Connect (OSTI)

    Bevins, N; Vanderhoek, M; Lang, S; Flynn, M

    2014-06-15

    Purpose: Medical display monitor calibration and quality control present challenges to medical physicists. The purpose of this work is to demonstrate and share experiences with an open source package that allows for both initial monitor setup and routine performance evaluation. Methods: A software package, pacsDisplay, has been developed over the last decade to aid in the calibration of all monitors within the radiology group in our health system. The software is used to calibrate monitors to follow the DICOM Grayscale Standard Display Function (GSDF) via lookup tables installed on the workstation. Additional functionality facilitates periodic evaluations of both primary and secondary medical monitors to ensure satisfactory performance. This software is installed on all radiology workstations, and can also be run as a stand-alone tool from a USB disk. Recently, a database has been developed to store and centralize the monitor performance data and to provide long-term trends for compliance with internal standards and various accrediting organizations. Results: Implementation and utilization of pacsDisplay has resulted in improved monitor performance across the health system. Monitor testing is now performed at regular intervals and the software is being used across multiple imaging modalities. Monitor performance characteristics such as maximum and minimum luminance, ambient luminance and illuminance, color tracking, and GSDF conformity are loaded into a centralized database for system performance comparisons. Compliance reports for organizations such as MQSA, ACR, and TJC are generated automatically and stored in the same database. Conclusion: An open source software solution has simplified and improved the standardization of displays within our health system. This work serves as an example method for calibrating and testing monitors within an enterprise health system.

  1. Department of Energy Support for Operations of the WMO/GAW Quality Control/Science Activity Center for the Americas

    SciTech Connect (OSTI)

    Hicks, B. B.

    2003-11-13

    As a formal activity of the World Meteorological Organization's Global Atmosphere Watch, to provide, through agency collaboration, a center of excellence in the United States that would impose quality assurance techniques on data collected by national air and precipitation quality networks operating in the Americas (north, south, and central).

  2. Flea Control 

    E-Print Network [OSTI]

    Merchant, Michael E.

    2002-08-23

    This publication will help you identify fleas and learn their behaviors and potential dangers to pets and humans. Included are methods for controlling fleas indoors and out....

  3. Tick Control 

    E-Print Network [OSTI]

    Merchant, Michael E.

    2002-08-23

    This publication will help you identify ticks and learn their behaviors and potential dangers. Included are methods for avoiding, controlling and removing ticks....

  4. 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

    2013-11-01

    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.

  5. Control Systems Magazine, 14, 1, pp.57-71. Robot Juggling: An Implementation of Memory-based Learning

    E-Print Network [OSTI]

    Schaal, Stefan

    02139, USA. Email: ss- chaal@ai.mit.edu, cga@ai.mit.edu. Support was provided by the Air Force Office- scribe which ingredients were needed to actually implement a learning algorithm on a robot

  6. Learning in Helicoverpa armigera (Lepidoptera: Noctuidae): a new look at the behaviour and control of a polyphagous pest 

    E-Print Network [OSTI]

    Cunningham, John P; Zalucki, Myron P; West, Stuart A

    1999-01-01

    Recent experimental evidence has shown that learning occurs in the host selection behaviour of Helicoverpa armigera (Hübner), one of the world‘s most important agricultural pests. This paper discusses how the occurrence ...

  7. 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.

    2008-01-07

    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.

  8. Total learning : education beyond the classroom

    E-Print Network [OSTI]

    Im, Soo O., 1972-

    2002-01-01

    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 ...

  9. Impacts of a Quality Matters™ Workshop on Faculty Who Design, Develop, and Deliver Online Courses: A Mixed Methods Study 

    E-Print Network [OSTI]

    Mercer, Rene E.

    2014-05-30

    Quality Matters™ is recognized world wide as a highly reputable method for quality assurance in online learning. While much research is available regarding Quality Matters as a tool for quality assurance, very little research exists on Quality...

  10. Irrigation Water Quality 

    E-Print Network [OSTI]

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

    2002-04-11

    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...

  11. PVLV: The Primary Value and Learned Value Pavlovian Learning Algorithm

    E-Print Network [OSTI]

    O'Reilly, Randall C.

    robust to variability in the environment. The primary value (PV) system controls performance and learning during primary rewards, whereas the learned value (LV) system learns about conditioned stimuli. The PV framework (Sutton, 1988; Sutton & Barto, 1998) is by far the most widely adopted computational level account

  12. Category and Perceptual Learning in Subjects with Treated Wilson's Disease

    E-Print Network [OSTI]

    2010-01-01

    and Perceptual Learning in Subjects with Treated Wilson’snormal controls. The WD subjects exhibited deficits in bothand Perceptual Learning in Subjects with Treated Wilson’s

  13. MACHINE LEARNING REINFORCEMENT LEARNING

    E-Print Network [OSTI]

    Fleuret, François

    only on the current state. 7 / 54 Policy Example For instance, in the maze, here is a policy (an, etc. 2 / 54 #12;Reinforcement Learning Introduction We have seen two large families of machine case, since we have to explore the environment to collect the samples to learn. 3 / 54 Introduction

  14. Learning Artistic Lighting Template from Portrait Photographs

    E-Print Network [OSTI]

    Zhu, Song Chun

    Learning Artistic Lighting Template from Portrait Photographs Xin Jin1 , Mingtian Zhao2,3 , Xiaowu artistic portrait lighting template from a dataset of artistic and daily portrait photographs. The learned aesthetic quality assess- ment of these photographs in lighting usage. For learning the template, we adopt

  15. Final Project Report on Arsenic Biogeochemistry in the Clinch River and Watts Bar Reservoir, Volume 2: Quality Assurance/Quality Control Summary Report for Arsenic Biogeochemistry in the Clinch River and Watts Bar Reservoir

    SciTech Connect (OSTI)

    Newman, K.A.

    1995-01-01

    Arsenic contamination was studied in the Clinch River/Watts Bar Reservoir (CR/WBR) system downstream from the U.S. Department of Energy's Oak Ridge Reservation (ORR). Arsenic is of particular interest and concern because (1) it occurs commonly in coal-bearing rock and waste products such as fly ash associated with the burning of coal, (2) it is classified as a Class A carcinogen by the U. S. Environmental Protection Agency, and (3) disposal of fly ash, both on and off the ORR, may have contaminated surface water and sediments in the Clinch River and Watts Bar Reservoir. The present study differs from previous reports on arsenic concentrations in the CR/WBR system in the use of much more sensitive and precise processing and analytical techniques to measure arsenic species (arsenate, arsenite, and organic arsenic) at levels well below the ecological and human health risk screening criteria. The absolute detection limits using these techniques are approximately 20 to 40 pmol/L, or 0.0015 to 0.003 {micro}g/L. Four main sites were sampled quarterly over a 3-year period (1990 through 1992). Sites investigated included Lower Watts Bar Reservoir near the Watts Bar Dam (Tennessee River kilometer 849.6), the Kingston area (Clinch River kilometer 1.6), Poplar Creek (Poplar Creek kilometer 1.6), and the McCoy Branch Embayment (McCoy Branch kilometer 0.3). Additional sites were investigated in the vicinity of these main stations to determine the distribution of contamination and to identify possible alternative or additional sources of arsenic. Detection limits that were a factor of 20 below the minimum risk screening criteria were achieved for 100% of arsenic speciation data. However, 118 samples for inductively coupled plasma metals analysis were not preserved to analytical specifications, and the analytical holding times for 180 ion chromatography samples were not met. More rigorous preservative testing protocols and more tightly defined analytical statements of work will prevent these problems in the future. Introduction, background, materials and methods, results, discussion, and conclusions are presented in Volume 1. The Quality Assurance/Quality Control Summary Report; the listing of water quality and surface water arsenic speciation data by source and site; and the listing of pore water arsenic speciation and particle-to-water distribution coefficients for As, Fe, and Mn by source, site, and season are presented in Volume 2. The Clinch River Environmental Restoration Program is currently completing the second phase of the Clinch River Remedial Investigation, with the intent of performing a baseline risk assessment on collected data. The data collected for this report will contribute to the baseline risk assessment for the Clinch River. Many of the goals of the Clinch River Remedial Investigation were refined using the results of this study.

  16. Office of Quality Management

    Office of Energy Efficiency and Renewable Energy (EERE)

    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.

  17. 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.

  18. EERE Quality Control Workshop Agenda

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

    energy manufacturing Moderator: Arrelaine Dameron, NREL Panelist: Everett Anderson, Proton OnSite Panelist: Bogdan Lita, Consultant, formerly of GE Primestar Panelist: David...

  19. Tick Control (Spanish) 

    E-Print Network [OSTI]

    Merchant, Michael E.

    2002-08-23

    This publication will help you identify ticks and learn their behaviors and potential dangers. Included are methods for avoiding, controlling and removing ticks.

  20. Flea Control (Spanish) 

    E-Print Network [OSTI]

    Merchant, Michael E.

    2002-08-23

    This publication will help you identify fleas and learn their behaviors and potential dangers to pets and humans. Included are methods for controlling fleas indoors and out.

  1. Improving Stormwater Quality 

    E-Print Network [OSTI]

    Garcia, Raul

    2005-01-01

    stream_source_info Improving Stormwater Quality.pdf.txt stream_content_type text/plain stream_size 5574 Content-Encoding ISO-8859-1 stream_name Improving Stormwater Quality.pdf.txt Content-Type text/plain; charset=ISO-8859...-1 Stormwater QualityStory by Raul L. Garcia tx H2O | pg. 18 The City of Houston, Harris County, theHarris County Flood Control District and the Texas Department of Transportation have teamed up through a Joint Task Force (JTF) to address Houston...

  2. Xerostomia and quality of life after intensity-modulated radiotherapy vs. conventional radiotherapy for early-stage nasopharyngeal carcinoma: Initial report on a randomized controlled clinical trial

    SciTech Connect (OSTI)

    Pow, Edmond [Oral Rehabilitation, Faculty of Dentistry, University of Hong Kong, Hong Kong (China); Kwong, Dora [Department of Clinical Oncology, Faculty of Medicine, University of Hong Kong, Queen Mary Hospital, Hong Kong (China); McMillan, Anne S. [Oral Rehabilitation, Faculty of Dentistry, University of Hong Kong, Hong Kong (China)]. E-mail: annemcmillan@hku.hk; Wong, May [Periodontology and Dental Public Health, Faculty of Dentistry, University of Hong Kong, Hong Kong (China); Sham, Jonathan [Department of Clinical Oncology, Faculty of Medicine, University of Hong Kong, Queen Mary Hospital, Hong Kong (China); Leung, Lucullus [Department of Clinical Oncology, Faculty of Medicine, University of Hong Kong, Queen Mary Hospital, Hong Kong (China); Leung, W. Keung [Periodontology and Dental Public Health, Faculty of Dentistry, University of Hong Kong, Hong Kong (China)

    2006-11-15

    Purpose: To compare directly the effect of intensity-modulated radiotherapy (IMRT) vs. conventional radiotherapy (CRT) on salivary flow and quality of life (QoL) in patients with early-stage nasopharyngeal carcinoma (NPC). Methods and Materials: Fifty-one patients with T2, N0/N1, M0 NPC took part in a randomized controlled clinical study and received IMRT or CRT. Stimulated whole (SWS) and parotid (SPS) saliva flow were measured and Medical Outcomes Short Form 36 (SF-36), European Organization for Research and Treatment of Cancer (EORTC) core quetionnaire, and EORTC head-and-neck module (QLQ-H and N35) were completed at baseline and 2, 6, and 12 months after radiotherapy. Results: Forty-six patients (88%) were in disease remission 12 months after radiotherapy. At 12 months postradiotherapy, 12 (50.0%) and 20 patients (83.3%) in the IMRT group had recovered at least 25% of preradiotherapy SWS and SPS flow respectively, compared with 1 (4.8%) and 2 patients (9.5%), respectively, in the CRT group. Global health scores showed continuous improvement in QoL after both treatments (p < 0.001). However, after 12 months subscale scores for role-physical, bodily pain, and physical function were significantly higher in the IMRT group, indicating a better condition (p < 0.05). Dry mouth and sticky saliva were problems in both groups 2 months after treatment. In the IMRT group, there was consistent improvement over time with xerostomia-related symptoms significantly less common than in the CRT group at 12 months postradiotherapy. Conclusions: IMRT was significantly better than CRT in terms of parotid sparing and improved QoL for early-stage disease. The findings support the case for assessment of health-related QoL in relation to head-and-neck cancer using a site-specific approach.

  3. SU-C-9A-02: Structured Noise Index as An Automated Quality Control for Nuclear Medicine: A Two Year Experience

    SciTech Connect (OSTI)

    Nelson, J; Christianson, O; Samei, E

    2014-06-01

    Purpose: Flood-field uniformity evaluation is an essential element in the assessment of nuclear medicine (NM) gamma cameras. It serves as the central element of the quality control (QC) program, acquired and analyzed on a daily basis prior to clinical imaging. Uniformity images are traditionally analyzed using pixel value-based metrics which often fail to capture subtle structure and patterns caused by changes in gamma camera performance requiring additional visual inspection which is subjective and time demanding. The goal of this project was to develop and implement a robust QC metrology for NM that is effective in identifying non-uniformity issues, reporting issues in a timely manner for efficient correction prior to clinical involvement, all incorporated into an automated effortless workflow, and to characterize the program over a two year period. Methods: A new quantitative uniformity analysis metric was developed based on 2D noise power spectrum metrology and confirmed based on expert observer visual analysis. The metric, termed Structured Noise Index (SNI) was then integrated into an automated program to analyze, archive, and report on daily NM QC uniformity images. The effectiveness of the program was evaluated over a period of 2 years. Results: The SNI metric successfully identified visually apparent non-uniformities overlooked by the pixel valuebased analysis methods. Implementation of the program has resulted in nonuniformity identification in about 12% of daily flood images. In addition, due to the vigilance of staff response, the percentage of days exceeding trigger value shows a decline over time. Conclusion: The SNI provides a robust quantification of the NM performance of gamma camera uniformity. It operates seamlessly across a fleet of multiple camera models. The automated process provides effective workflow within the NM spectra between physicist, technologist, and clinical engineer. The reliability of this process has made it the preferred platform for NM uniformity analysis.

  4. 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

  5. Air Quality Rules (North Carolina) | Department of Energy

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

    air quality rule for North Carolina that includes ambient air quality standards, emission control standards, monitoring and reporting requirements, and permitting procedures....

  6. SU-E-T-270: Quality Control of Source Strength and Indexer Length in HDR Brachytherapy Using Sun Nuclear Mapcheck2

    SciTech Connect (OSTI)

    Morales, J

    2014-06-01

    Purpose: The goal of this work was to evaluate Sun Nuclear MapCheck2 capability for quantitative determination of both HDR source strength and position. Predictive power of Mapcheck2 dose matrix, originated by a microSelectron-v2 source from 22mm distance, was investigated. Methods: A Mick MultiDoc phantom with the 1400mm indexer length mark aligned over MapCheck2 central detector plus two additional 5cm plastic slabs were used as a composite phantom. Dose readings were transformed by applying published source anisotropy corrections and experimentally established radial dose and relative sensitivity factors. Angular dependence was not considered. Only readings from diodes located 2cm around the central detector were evaluated. The reproducibility of a fit between transformed dose readings and the ratio of virtual source strength and the square of source-detector distance was investigated. Four parameters were considered in the model: virtual source strength, lateral, longitudinal and vertical source positions. Final source strength calibration factor was calculated from the ratio of reference measurements and results from the fit. Results: Original lateral and longitudinal source position estimations had systematic errors of 0.39mm and 0.75mm. After subtracting these errors, both source positions were predicted with a standard deviation of 0.15mm. Results for vertical positions were reproducible with a standard deviation of 0.05mm. The difference between calculated and reference source strengths from 34 independent measurement setups had a standard deviation of 0.3%. The coefficient of determination for the linear regression between known indexer lengths and results from the fit in the range 1400mm ± 5mm was 0.985. Conclusions: ource strength can be estimated with MapCheck2 at appropriate accuracy levels for quality control. Verification of indexer length with present implementation is more accurate than visual alternatives. Results can be improved by designing a coupling catheter phantom and refining relative diode calibration. Diode angular dependence in MapCheck2 does not play significant role.

  7. 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)

    1996-12-31

    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.

  8. 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...

  9. MACHINE LEARNING IN A DYNAMIC WORLD Panel Dmussion

    E-Print Network [OSTI]

    Antsaklis, Panos

    MACHINE LEARNING IN A DYNAMIC WORLD Panel Dmussion Miecsyslaw M. Kohr Panel O&m and Editor. Michal~gi,George Mason University R.S.Sutton, GTE Laboratories Machine Learning was established of machine learning research was in Cybernetic Systems and Adaptive Control. Machine Learning has been

  10. Original Paper Human sensorimotor learning for

    E-Print Network [OSTI]

    Babic, Jan

    . The concept is to consider the target robot platform as a tool to be controlled intuitively by a human to drive a car. After human learning, the skilled control of the robot is used to build an autonomous

  11. 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

    2011-10-21

    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...

  12. Quality Assurance

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

    1999-09-29

    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.

  13. Quality Assurance

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

    2005-06-17

    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.

  14. 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)

    2012-05-01

    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.

  15. Quality Assurance

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

    2004-04-29

    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.

  16. Introduction Quality & Information Asymmetry Quality & Product Differentiation Quality & Outsourcing Quality & Supplier Quality Competition in

    E-Print Network [OSTI]

    Nagurney, Anna

    & Outsourcing Quality & Supplier Quality Competition in Supply Chain Networks with Applications to Information Asymmetry, Product Differentiation, Outsourcing, and Supplier Selection Dong "Michelle" Li Doctoral & Supplier 1 Introduction 2 Quality & Information Asymmetry A Supply Chain Network Model with Information

  17. Facility Software Quality Assurance for Capital Project Decisions...

    Office of Environmental Management (EM)

    Quality Assurance for DOE nuclear facilities * Software Development * Software Control and Monitoring Applications * Analysis and Design Software * Spreadsheets and...

  18. 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

  19. INTELLIGENT CONTROL Panos J. Antsaklis

    E-Print Network [OSTI]

    Antsaklis, Panos

    learning help intelligent controllers to adapt and learn. Advances in sensors, actuators, computationINTELLIGENT CONTROL by Panos J. Antsaklis Department of Electrical Engineering University of Notre for the Encyclopedia of Electrical and Electronics Engineering John Wiley & Sons, Inc. 1997 Intelligent control

  20. To appear in Proc. 12th Natl. Conf. on Artificial Intelligence (AAAI94), August, 1994 Learning ExplanationBased Search Control Rules For Partial Order Planning

    E-Print Network [OSTI]

    Kambhampati, Subbarao

    rules are generated by analyzing the search space explored by the planner to locate failures, to detect and explain the implicit failures in those plans. These explanations are then used to generate learning framework of snlp+ebl, including regression, explanation prop­ agation and rule generation. We

  1. Quality Assurance 9-1 9. Quality Assurance

    E-Print Network [OSTI]

    Pennycook, Steve

    control processes and standard operating procedures for sample collection and analysis; use of chain, and use statistics to evaluate and continuously im- prove performance. 9.3.1 Internal Quality Assurance, and maintenance of control charts to indicate ana- lytical deficiencies. These activities are sup- ported

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

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

    Quality The 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...

  3. Workshop on indoor air quality research needs

    SciTech Connect (OSTI)

    Not Available

    1980-01-01

    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)

  4. Indoor environment quality in LEED buildings: Understanding conditions affecting performance

    E-Print Network [OSTI]

    Walker, Kristine

    2015-01-01

    of Medicine (2011) Climate change, the indoor environment,on the Effect of Climate Change on Indoor Air Quality andto work and learn and climate change may make existing IEQ

  5. 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.

    1980-07-01

    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.

  6. Quality Assurance

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

    1981-07-21

    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.

  7. Quality Assurance

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

    1981-01-16

    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.

  8. Steam Quality 

    E-Print Network [OSTI]

    Johnston, W.

    1989-01-01

    "STEAM QUALITY has been generally defined as the amount of moisture/vapor (or lack thereof) contained within steam produced from some form of boiler. It has long been used as the standard term for the measurement of ""wet or dry"" steam and as a...

  9. Dyke quality assessment by remote sensing

    E-Print Network [OSTI]

    Hack, Robert

    Control 2015 (FC2015 ) Dutch Governmental research andDutch Governmental research and development program Solutions for smart flood control 15 Oct 2009 2Reeuwijk - Hack #12;2 RSDYKRSDYK Quality assessment of dykes1 RSDYK Dyke quality assessment by remote sensing and geological information Robert Hack Flood

  10. 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

    2010-01-01

    Program- Final Report: RTI. Beery, B. , Ottoson, J. , Green,Journal of Public Health, 92, RTI International. (2004).Tobacco Control Program. RTI International. (2005). Second

  11. SAPHIRE 8 Software Quality Assurance Oversight

    SciTech Connect (OSTI)

    Kurt G. Vedros

    2011-09-01

    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'.

  12. Quality Assurance

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

    2001-07-12

    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

  13. Guidelines for Quality Clothing Construction. 

    E-Print Network [OSTI]

    Culp, Becky

    1979-01-01

    that form on right side of fabric. Durability of bonding or laminating. Examine cut edge and avoid those which separate easily. Quality quilting. Examine for durable and strong quilting threads and a durable backing fabric. Quilting threads should... or processes such as: ? Durable or permanent press for easy care ? Colorfastness (fading) ? Shrinkage control ? Soil release ? Wrinkle or crease resistance ? Flame resistance for safety Quality trims should be compatible with the fabrics chosen. Look...

  14. Design Quality Criteria Design Quality Criteria

    E-Print Network [OSTI]

    van Sinderen, Marten

    Design Quality Criteria 19 Chapter 2 Design Quality Criteria This chapter discusses what qualities are desirable of an application protocol design, and what quality criteria can be used when evaluating methodology. The quality criteria presented are not peculiar to application protocol design

  15. The Multi-Scale Mass Transfer Processes Controlling Natural Attenuation and Engineered Remediation: An IFC Focused on Hanford’s 300 Area Uranium Plume Quality Assurance Project Plan

    SciTech Connect (OSTI)

    Fix, N. J.

    2008-01-31

    The purpose of the project is to conduct research at an Integrated Field-Scale Research Challenge Site in the Hanford Site 300 Area, CERCLA OU 300-FF-5 (Figure 1), to investigate multi-scale mass transfer processes associated with a subsurface uranium plume impacting both the vadose zone and groundwater. The project will investigate a series of science questions posed for research related to the effect of spatial heterogeneities, the importance of scale, coupled interactions between biogeochemical, hydrologic, and mass transfer processes, and measurements/approaches needed to characterize a mass-transfer dominated system. The research will be conducted by evaluating three (3) different hypotheses focused on multi-scale mass transfer processes in the vadose zone and groundwater, their influence on field-scale U(VI) biogeochemistry and transport, and their implications to natural systems and remediation. The project also includes goals to 1) provide relevant materials and field experimental opportunities for other ERSD researchers and 2) generate a lasting, accessible, and high-quality field experimental database that can be used by the scientific community for testing and validation of new conceptual and numerical models of subsurface reactive transport.

  16. Office of Enterprise Assessments Lessons Learned From Targeted...

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

    Lessons Learned From Targeted Reviews of Radiological Controls Activity-Level Implementation May 2011 September 2014 January 2015 Office of Nuclear Safety and Environmental...

  17. Learning Bicycle Stunts C. Karen Liu

    E-Print Network [OSTI]

    Turk, Greg

    Learning Bicycle Stunts Jie Tan Yuting Gu C. Karen Liu Greg Turk Georgia Institute that is riding a bicycle. The two main components of our system are offline learning and online simulation. We sim- ulate the bicycle and the rider as an articulated rigid body system. The rider is controlled

  18. The Need for Command and Control Instant Message Adaptive Interfaces: Lessons Learned from Tactical Tomahawk Human-in-the-Loop Simulations

    E-Print Network [OSTI]

    Cummings, M. L.

    2004-01-01

    In the recent development of a human-in-the-loop simulation test bed designed to examine human performance issues for supervisory control of the Navy’s new Tactical Tomahawk missile, measurements of operator situation ...

  19. GABAergic neurones control the activity of spatial coding and synchronous network activity in the hippocampal-entorhinal formation thereby affecting spatial learning

    E-Print Network [OSTI]

    Fukai, Tomoki

    GABAergic neurones control the activity of spatial coding and synchronous network activity Abstract GABAergic interneurons are crucially involved in the generation and maintenance of rhythmic synchronous activity in many forebrain regions, including the hippocampal-entorhinal formation. Genetic

  20. Optimal Airflow Control for Laboratory Air Handling Unit (LAHU) Systems 

    E-Print Network [OSTI]

    Cui, Y.; Liu, M.; Conger, K.

    2002-01-01

    the indoor air quality, This paper presents modeling, optimization procedures and optimal airflow control sequences....

  1. 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

  2. Robotics for Learning

    E-Print Network [OSTI]

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

    2015-01-01

    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 ...

  3. Autonomous helicopter flight via Reinforcement Learning

    E-Print Network [OSTI]

    Sastry, S. Shankar

    Autonomous helicopter flight via Reinforcement Learning Andrew Y. Ng Stanford University Stanford 94720 Abstract Autonomous helicopter flight represents a challenging control problem, with complex to autonomous helicopter flight. We first fit a stochastic, nonlinear model of the helicopter dynamics. We

  4. Autonomous helicopter flight via reinforcement learning

    E-Print Network [OSTI]

    Jordan, Michael I.

    Autonomous helicopter flight via reinforcement learning Andrew Y. Ng Stanford University Stanford 94720 Abstract Autonomous helicopter flight represents a challenging control problem, with complex to autonomous helicopter flight. We first fit a stochastic, nonlinear model of the helicopter dynamics. We

  5. Towards Global Reinforcement Learning Milen Pavlov

    E-Print Network [OSTI]

    Poupart, Pascal

    it to quickly learn to walk on virtually any terrain [1]. Another was using RL to control a helicopter. In the helicopter story, symmetries about the position and orientation of the helicopter are exploited to reduce

  6. Cost-effective Lighting Retrofits: Lessons Learned 

    E-Print Network [OSTI]

    Fisher, M. D.

    1994-01-01

    -effective Lighting Retrofits: Lessons Learned Mark D. Fisher Certified Lighting Efficiency Professional Johnson Controls Dallas, Texas ABSTRACT Facility managers and energy engineers contemplating a lighting retrofit are confronted with a confusing array...

  7. Technology transfer and technological learning through CERN's procurement activity

    E-Print Network [OSTI]

    Autio, Erkko; Hameri, Ari-Pekka; CERN. Geneva

    2003-01-01

    This report analyses the technological learning and innovation benefits derived from CERN's procurement activity during the period 1997-2001. The base population of our study, the technology-intensive suppliers to CERN, consisted of 629 companies out of 6806 companies during the same period, representing 1197 MCHF in procurement. The main findings from the study can be summarized as follows: the various learning and innovation benefits (e.g., technological learning, organizational capability development, market learning) tend to occur together. Learning and innovation benefits appear to be regulated by the quality of the supplier's relationship with CERN: the greater the amount of social capital built into the relationship, the greater the learning and innovation benefits. Regardless of relationship quality, virtually all suppliers derived significant marketing reference benefits from CERN. Many corollary benefits are associated with procurement activity. As an example, as many as 38% of the respondents devel...

  8. Keys to Successful Quality Assurance and Quality Control Programs (101) |

    Energy Savers [EERE]

    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 on DeliciousMathematics AndBeryllium Disease | Department of0 Inspection BEFORE THE3, 2011:Kenneth G. PichaDepartment of

  9. 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

  10. Transductive Pattern Learning for Information Extraction Brian McLernon Nicholas Kushmerick

    E-Print Network [OSTI]

    of the extraction patterns themselves. Second, most bootstrapping methods identify the high- est quality fragmentsTransductive Pattern Learning for Information Extraction Brian McLernon Nicholas Kushmerick School of learning algorithms for information extraction. We present TPLEX, a semi-supervised learning algorithm

  11. Control algorithms for autonomous robot navigation

    SciTech Connect (OSTI)

    Jorgensen, C.C.

    1985-09-20

    This paper examines control algorithm requirements for autonomous robot navigation outside laboratory environments. Three aspects of navigation are considered: navigation control in explored terrain, environment interactions with robot sensors, and navigation control in unanticipated situations. Major navigation methods are presented and relevance of traditional human learning theory is discussed. A new navigation technique linking graph theory and incidental learning is introduced.

  12. Supplementary Material Learning optimal adaptation strategies in unpredictable motor tasks

    E-Print Network [OSTI]

    Supplementary Material Learning optimal adaptation strategies in unpredictable motor tasks D.A. Braun, A. Aertsen, D.M. Wolpert, C. Mehring Contents 1 Adaptive Optimal Control Methods 2 1-adaptive Optimal Control Models . . . . . . . . . . . . . . . . . 5 1.4 Arm Model

  13. Learning Curve

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

    1997-03-28

    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.

  14. Course info Machine Learning

    E-Print Network [OSTI]

    Shi, Qinfeng "Javen"

    Course info Machine Learning Real life problems Lecture 1: Machine Learning Problem Qinfeng (Javen) Shi 28 July 2014 Intro. to Stats. Machine Learning COMP SCI 4401/7401 Qinfeng (Javen) Shi Lecture 1: Machine Learning Problem #12;Course info Machine Learning Real life problems Table of Contents I 1 Course

  15. 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

  16. Hanford Sampling Quality Management Plan (HSQMP)

    SciTech Connect (OSTI)

    Hyatt, J.E.

    1995-06-01

    HSQMP establishes quality requirements in response to DOE Order 5700. 6C and to 10 Code of Federal Regulations 830.120. HSQMP is designed to meet the needs of Richland Operations Office for controlling the quality of services provided by sampling operations. It is issued through the Analytical Services Program of the Waste Programs Division. This document describes the Environmental Sampling and Analysis Program activities considered to represent the best management activities necessary to achieve a sampling program with adequate control.

  17. Accredited Certifications Bring a Higher Level of Quality to...

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

    by the American National Standards Institute (ANSI).The four certifications - Quality Control Inspector, Energy Auditor, Crew Leader, and Retrofit Installer Technician...

  18. 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

  19. Reputational Learning and Network Dynamics

    E-Print Network [OSTI]

    Zhang, Simpson

    2015-01-01

    In many real world networks agents are initially unsure of each other's qualities and learn about each other over time via repeated interactions. This paper is the first to provide a methodology for studying the formation of such networks, taking into account that agents differ from each other, that they begin with incomplete information, and that they must learn through observations which connections/links to form and which to break. The network dynamics in our model vary drastically from the dynamics emerging in models of complete information. With incomplete information and learning, agents who provide high benefits will develop high reputations and remain in the network, while agents who provide low benefits will drop in reputation and become ostracized. We show, among many other things, that the information to which agents have access and the speed at which they learn and act can have tremendous impact on the resulting network dynamics. Using our model, we can also compute the \\textit{ex ante} social wel...

  20. Software Quality Assurance Control of Existing Systems

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

    is difficult, unexpected defects show up when upgrades or enhancements occur. * Its change management process is inadequate or non-existent. * Its documentation is minimal or...

  1. CEGR 6090 -Water Quality Control Course Description

    E-Print Network [OSTI]

    Bowen, James D.

    dispersion, turbulent diffusion, transport across interfaces, thermal pollution, eutrophication, pollution. "Environmental Modeling: Fate and Transport of Pollutants in Water, Air, and Soil." Wiley-Interscience, New York. Transport in estuaries. V. Impacts of conventional pollutants on surface waters VI. Eutrophication VII

  2. Quality Control Procedures Applied to Drifter Data

    E-Print Network [OSTI]

    Metadata Craig Engler DAC Maintains a database with drifter data from deployment until buoy stops (information about ea. Drifter) CALIBRATION FILE (coefficients to calibrate each sensor) GROUND FILE (holds, enter into the DIRECTORY file #12;·Check SST sensor failure, determine last good day for SST: SST's from

  3. EERE Quality Control Workshop Final Report

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

    widespread adoption in applications where membranes hold the greatest promise to reduce energy consumption and manufacturing costs." This assessment is indicative of many...

  4. 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 on Delicious Rank EERE: AlternativeCommunication3-E Wholesale Power Rate10 EECBGEERE Annual WebsiteApril 12,OEERE

  5. 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 Data Center Home Page on Delicious RankADVANCED MANUFACTURINGEnergy BillsNo. 195 - Oct. 7, 2011 |1 DOEAssurance for Critical Decision

  6. Quality Assurance Program Plan

    Broader source: Energy.gov [DOE]

    The achievement of quality in LM activities and products requires implementation of a formal Quality Assurance (QA) Program. This program establishes principles, requirements, practices, and...

  7. ENVIRONMENTAL QUALITY AND

    E-Print Network [OSTI]

    ENVIRONMENTAL QUALITY AND REGIONAL ECONOMIC DEVELOPMENT Prepared for Environmental Conservation policy of Environment Canada. #12;COASTWRITERS RESEARCH & COMMUNICATION · iii ENVIRONMENTAL QUALITY ..................................................................................................44 Environmental commitments

  8. Analytical laboratory quality audits

    SciTech Connect (OSTI)

    Kelley, William D.

    2001-06-11

    Analytical Laboratory Quality Audits are designed to improve laboratory performance. The success of the audit, as for many activities, is based on adequate preparation, precise performance, well documented and insightful reporting, and productive follow-up. Adequate preparation starts with definition of the purpose, scope, and authority for the audit and the primary standards against which the laboratory quality program will be tested. The scope and technical processes involved lead to determining the needed audit team resources. Contact is made with the auditee and a formal audit plan is developed, approved and sent to the auditee laboratory management. Review of the auditee's quality manual, key procedures and historical information during preparation leads to better checklist development and more efficient and effective use of the limited time for data gathering during the audit itself. The audit begins with the opening meeting that sets the stage for the interactions between the audit team and the laboratory staff. Arrangements are worked out for the necessary interviews and examination of processes and records. The information developed during the audit is recorded on the checklists. Laboratory management is kept informed of issues during the audit so there are no surprises at the closing meeting. The audit report documents whether the management control systems are effective. In addition to findings of nonconformance, positive reinforcement of exemplary practices provides balance and fairness. Audit closure begins with receipt and evaluation of proposed corrective actions from the nonconformances identified in the audit report. After corrective actions are accepted, their implementation is verified. Upon closure of the corrective actions, the audit is officially closed.

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

    E-Print Network [OSTI]

    Neirotti, Juan Pablo

    Outcome: 04/05) Session 08 ? Quality Philosophies e.g. TQM, six-sigma etc. (Learning Outcome: 02 Satisfaction (Leaning Outcome: 01/05) #12;Session 03 ? Measurement of Quality e.g. performance indicators

  10. Quality Counts Certificate 

    E-Print Network [OSTI]

    Chilek, Kevin

    2007-01-31

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

  11. Track 9: Quality Assurance

    Broader source: Energy.gov [DOE]

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

  12. Learning Noise Michael Schmidt

    E-Print Network [OSTI]

    Fernandez, Thomas

    Learning Noise Michael Schmidt Computational Synthesis Laboratory Cornell University Ithaca NY to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data by modeling the maximum likelihood output or least squared error, assuming that noise

  13. DOE Lessons Learned

    Broader source: Energy.gov [DOE]

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

  14. 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

  15. Cooperating or Fighting with Decoherence in the Optimal Control of Quantum Dynamics

    E-Print Network [OSTI]

    Shuang, F; Shuang, Feng; Rabitz, Herschel

    2006-01-01

    This paper explores the use of laboratory closed-loop learning control to either fight or cooperate with decoherence in the optimal manipulation of quantum dynamics. Simulations of the processes are performed in a Lindblad formulation on multilevel quantum systems strongly interacting with the environment without spontaneous emission. When seeking a high control yield it is possible to find fields that successfully fight with decoherence while attaining a good quality yield. When seeking modest control yields, fields can be found which are optimally shaped to cooperate with decoherence and thereby drive the dynamics more efficiently. In the latter regime when the control field and the decoherence strength are both weak, a theoretical foundation is established to describe how they cooperate with each other. In general, the results indicate that the population transfer objectives can be effectively met by appropriately either fighting or cooperating with decoherence.

  16. Cooperating or Fighting with Decoherence in the Optimal Control of Quantum Dynamics

    E-Print Network [OSTI]

    Feng Shuang; Herschel Rabitz

    2006-06-20

    This paper explores the use of laboratory closed-loop learning control to either fight or cooperate with decoherence in the optimal manipulation of quantum dynamics. Simulations of the processes are performed in a Lindblad formulation on multilevel quantum systems strongly interacting with the environment without spontaneous emission. When seeking a high control yield it is possible to find fields that successfully fight with decoherence while attaining a good quality yield. When seeking modest control yields, fields can be found which are optimally shaped to cooperate with decoherence and thereby drive the dynamics more efficiently. In the latter regime when the control field and the decoherence strength are both weak, a theoretical foundation is established to describe how they cooperate with each other. In general, the results indicate that the population transfer objectives can be effectively met by appropriately either fighting or cooperating with decoherence.

  17. 1994 Ergonomics Program Quality Evaluation

    SciTech Connect (OSTI)

    Longbotham, L.; Miller, D.P.

    1995-06-01

    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.

  18. Learn More about Fusion & Lasers

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

    Learn More about Fusion & Lasers How Lasers Work Learn how lasers were developed and how they work. Outreach NIF & Photon Science researchers take learning opportunities on the...

  19. Achieving gender equality in learning outcomes: Evidence from a non-formal education program in Bangladesh

    E-Print Network [OSTI]

    Gee, Kevin A

    2015-01-01

    controlled trial in education. Evaluation and Programproduction function Education, income, and human capital (children with quality education in rural Bangladesh:

  20. 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

  1. 222-S laboratory quality assurance plan

    SciTech Connect (OSTI)

    Meznarich, H.K.

    1995-04-01

    This document provides quality assurance guidelines and quality control requirements for analytical services. This document is designed on the basis of Hanford Analytical Services Quality Assurance Plan (HASQAP) technical guidelines and is used for governing 222-S and 222-SA analytical and quality control activities. The 222-S Laboratory provides analytical services to various clients including, but not limited to, waste characterization for the Tank Waste Remediation Systems (TWRS), waste characterization for regulatory waste treatment, storage, and disposal (TSD), regulatory compliance samples, radiation screening, process samples, and TPA samples. A graded approach is applied on the level of sample custody, QC, data verification, and data reporting to meet the specific needs of the client.

  2. IT Quality Assurance

    Broader source: Energy.gov [DOE]

    Quality, error-free work holds down costs. Avoiding mistakes and rework saves valuable time, effort, and materials. Quality assurance provides the mechanisms for paying close attention to details...

  3. Quality Assurance | Jefferson Lab

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

    Quality Assurance Is A Key Focus At Jefferson Lab Quality assurance is a critical function at Jefferson Lab, protecting workers, lab facilities, the environment and the public. A D...

  4. Quality Research Administration Meeting

    E-Print Network [OSTI]

    Wood, Marcelo A.

    Quality Research Administration Meeting November, 2014 #12;Agenda Sponsored Projects Administration Update Contract and Grant Accounting Update Uniform Guidance Update External Audit Coordination Nancy Lewis Quality Research Administration MeetingNovember, 2014 #12;Sponsored Projects Administration

  5. 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)

    1987-01-01

    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.

  6. Traffic Light Control using Reinforcement Learning

    E-Print Network [OSTI]

    Nehorai, Arye

    of Electrical & Systems Engineering, Washington University in St. Louis, St. Louis, MO Background Simulation 4me of each car currently at the intersec4on. In order: Cars, Roads, and Intersec.ons. The Cars structure contains all

  7. Animal learning models as robot controllers 

    E-Print Network [OSTI]

    Hallam, Bridget

    2000-01-01

    Robots can do a range of wonderful things, but they can also appear really stupid. I would like my autonomous, sensor-rich, robot to be able to: complete its task whenever possible, despite distractions and disabilities; ...

  8. Learning control policies from constrained motion 

    E-Print Network [OSTI]

    Howard, Matthew

    2009-01-01

    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 ...

  9. Harm reduction: lessons learned from tobacco control

    E-Print Network [OSTI]

    , such as the psychoactive effects of the sub- stance. How do harm reduction efforts fare when exposed to the harsh realities, it is possible (often unconsciously) to modify subsequent smoking behaviour to titrate the amount of nicotine be modified, both consciously and unconsciously, to achieve this. Therefore, offer- ing lower strength drugs

  10. Surface Water Quality Standards 

    E-Print Network [OSTI]

    Wythe, Kathy

    2007-01-01

    Standards Team. This advisory group, with representation from water asso- ciations, the agricultural industry, engineering firms, environmental organizations, consumer groups and government entities, is working with TCEQ staff to review and possibly...SURFACE WATER QUALITY STANDARDS AAs part of the ongoing program to manage Texaswater quality, the Texas Commission onEnvironmental Quality (TCEQ) is currently review- ing the Texas Surface Water Quality Standards, including the standards...

  11. 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

  12. Software Quality, Software Process,

    E-Print Network [OSTI]

    Hamlet, Richard

    Software Quality, Software Process, and Software Testing Dick Hamlet Portland State University Department of Computer Science Center for Software Quality Research PO Box 751 Portland, OR 97207 Internet. However, unless testing goals are clearly related to true measurements of software quality, the testing

  13. Apparatus and method for combusting low quality fuel

    DOE Patents [OSTI]

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

    2003-11-04

    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. The Learning Environment 

    E-Print Network [OSTI]

    Howard, Jeff W.

    2005-05-10

    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. ...

  15. Quality Assurance | Department of Energy

    Office of Environmental Management (EM)

    Services Nuclear Safety Quality Assurance Quality Assurance QUALITY ASSURANCE IN THE DEPARTMENT OF ENERGY When properly implemented, the principles and requirements form a...

  16. Motivation-Learning and Aging 1 Toward a Three-Factor Motivation-Learning Framework in Normal Aging

    E-Print Network [OSTI]

    Maddox, W. Todd

    Motivation-Learning and Aging 1 Toward a Three-Factor Motivation-Learning Framework in Normal Aging A&M University To appear in T. Braver (Ed). Motivation and Cognitive Control, Taylor & Francis, UK Abstract The common belief that motivation involves simply "trying harder" is at best simplistic

  17. 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

  18. Learning and risk aversion 

    E-Print Network [OSTI]

    Oyarzun, Carlos

    2009-06-02

    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...

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

    E-Print Network [OSTI]

    Guthrie, Victor Anthony

    2011-01-01

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

  20. Learning Adaptive Leg Cycles Using Fitness Biasing Gary B. Parker

    E-Print Network [OSTI]

    Parker, Gary B.

    computa- tion has been shown to be an effective way to learn gaits for hexapod robots [6]. These robots was effective in providing adaptive gait control for a hexapod robot that went through a series of leg capa) controllers for a hexapod [1]. The controller had foot, backward swing, and forward swing motor neurons; two

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

    E-Print Network [OSTI]

    Jeongho Bang; Seung-Woo Lee; Hyunseok Jeong

    2015-08-05

    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 trade-off between the inaccuracy and the learning time is also analyzed.

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

    E-Print Network [OSTI]

    Jeongho Bang; Seung-Woo Lee; Hyunseok Jeong

    2015-04-20

    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.

  3. Neuromuscular modularity and behavioral correlates of motor control

    E-Print Network [OSTI]

    Overduin, Simon Alexander

    2006-01-01

    I studied organizational principles that may subserve the control and learning of forelimb movements. Among these principles, I focused on muscular coordination patterns, motor cortical excitability, and sensorimotor ...

  4. Common Cyber Security Vulnerabilities Observed in Control System...

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

    Systems (September 2011) Vulnerability Analysis of Energy Delivery Control Systems - 2011 Lessons Learned from Cyber Security Assessments of SCADA and Energy Management Systems...

  5. JLab Guest Lecturer Discusses Hurricane Hunting - By Remote Control...

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

    Guest Lecturer Discusses Hurricane Hunting - By Remote Control On April 14 NEWPORT NEWS, Va., March 2, 2009 - Learn how the National Oceanic and Atmospheric Administration and...

  6. Software Quality Model Requirements for Software Quality Engineering

    E-Print Network [OSTI]

    Suryn, Witold

    Software Quality Model Requirements for Software Quality Engineering Marc-Alexis Côté M. Ing (marc Quality Engineering, Software Quality Models, ISO/IEC 9126. Abstract Software Quality Engineering is an emerging discipline that is concerned with improving the approach to software quality. It is important

  7. Managing Quality Requirements Using Activity-Based Quality Models

    E-Print Network [OSTI]

    Cengarle, María Victoria

    the complexity of software quality. A novel kind of quality mod- els uses the activities performed on and with the software as an explicit dimension. These quality models are a well- suited basis for managing qualityManaging Quality Requirements Using Activity-Based Quality Models Stefan Wagner, Florian

  8. Financial Policy Manual 2701 INTERNAL CONTROL POLICY

    E-Print Network [OSTI]

    George, Edward I.

    , budgets, schedules, job assignment and monitoring sheets, policy and procedure manuals, organization charts, job descriptions, employee training programs and various quality controls. C. Establish

  9. Financial Policy Manual INTERNAL CONTROL POLICIES

    E-Print Network [OSTI]

    George, Edward I.

    , budgets, schedules, job assignment and monitoring sheets, policy and procedure manuals, organization charts, job descriptions, employee training programs and various quality controls. C. Establish

  10. Autonomous Helicopter Aerobatics through Apprenticeship Learning

    E-Print Network [OSTI]

    Abbeel, Pieter

    Autonomous Helicopter Aerobatics through Apprenticeship Learning Pieter Abbeel1 , Adam Coates2 and Andrew Y. Ng2 Abstract Autonomous helicopter flight is widely regarded to be a highly challenging control problem. Despite this fact, human experts can reliably fly helicopters through a wide range of maneuvers

  11. Environmental Health and Safety Radiation Control and Radiological

    E-Print Network [OSTI]

    Slatton, Clint

    /chemical waste at on- and off-campus locations 6) Industrial Hygiene Responsible for asbestos removal, indoor air quality and other industrial hygiene problems #12;· What you will not learn in this course

  12. Downhole steam quality measurement

    DOE Patents [OSTI]

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

    1985-06-19

    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.

  13. Integrated Biological Control

    SciTech Connect (OSTI)

    JOHNSON, A.R.

    2003-10-09

    Biological control is any activity taken to prevent, limit, clean up, or remediate potential environmental, health and safety, or workplace quality impacts from plants, animals, or microorganisms. At Hanford the principal emphasis of biological control is to prevent the transport of radioactive contamination by biological vectors (plants, animals, or microorganisms), and where necessary, control and clean up resulting contamination. Other aspects of biological control at Hanford include industrial weed control (e.g.; tumbleweeds), noxious weed control (invasive, non-native plant species), and pest control (undesirable animals such as rodents and stinging insects, and microorganisms such as molds that adversely affect the quality of the workplace environment). Biological control activities may be either preventive (a priori) or in response to existing contamination spread (a posteriori). Surveillance activities, including ground, vegetation, flying insect, and other surveys, and a priori control actions, such as herbicide spraying and placing biological barriers, are important in preventing radioactive contamination spread. If surveillance discovers that biological vectors have spread radioactive contamination, a posteriori control measures, such as fixing contamination, followed by cleanup and removal of the contamination to an approved disposal location are typical response functions. In some cases remediation following the contamination cleanup and removal is necessary. Biological control activities for industrial weeds, noxious weeds and pests have similar modes of prevention and response.

  14. Signatures for Mass Spectrometry Data Quality

    SciTech Connect (OSTI)

    Amidan, Brett G.; Orton, Daniel J.; Lamarche, Brian L.; Monroe, Matthew E.; Moore, Ronald J.; Venzin, Alexander M.; Smith, Richard D.; Sego, Landon H.; Tardiff, Mark F.; Payne, Samuel H.

    2014-03-10

    Ensuring data quality and proper instrument functionality is a prerequisite for scientific investigation. Manual validation for quality assurance is time consuming, expensive and subjective. Metrics for describing various features of LC-MS data have been developed to assist operators in discriminating poor (out of control) and good (in control) datasets. However, the wide variety of instrument specifications and LC-MS configurations precludes applying a simple range of acceptable values or cutoffs for such metrics. We explored a variety of statistical modeling approaches to predict the quality of LC-MS data. Using 1164 manually classified quality control (QC) LC-MS datasets, we fit logistic regression classification models to the QC data to predict whether a dataset is in or out of control. Model parameters were optimized by minimizing a loss function that accounts for the tradeoff between false positive and false negative errors. The optimal logistic regression classifier models detected bad data sets with high sensitivity (i.e. low false negative rate) while maintaining high specificity (i.e. controlling the false positive rate). As an example, predictions for Velos-Orbitrap instrumentation data had a sensitivity of 93.7% in detecting out of control datasets with a false positive rate of 8.3%. In comparison, we investigated the performance of several single metrics in predicting dataset quality. While maintaining a sensitivity of 93.7%, the corresponding false positive rates for these single-metric models unacceptably ranged from 32% to 97.7%. Finally, we evaluated the performance of the

  15. Indoor Air Quality

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

    In Focus For decades, teams of Berkeley Lab scientists have investigated the ways that indoor air quality affects human health-from cognitive ability to personal comfort...

  16. Forecasting Water Quality & Biodiversity

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

    Forecasting Water Quality & Biodiversity March 25, 2015 Cross-cutting Sustainability Platform Review Principle Investigator: Dr. Henriette I. Jager Organization: Oak Ridge National...

  17. Hebbian Learning and Gradient Descent Learning Neural Computation : Lecture 5

    E-Print Network [OSTI]

    Bullinaria, John

    Hebbian Learning and Gradient Descent Learning Neural Computation : Lecture 5 © John A. Bullinaria, 2014 1. Hebbian Learning 2. Learning by Error Minimisation 3. Gradient Descent Learning 4. Deriving or persistently takes part in firing it, some growth process or metabolic change takes place on one or both cells

  18. Hanford Tanks Initiative quality assurance implementation plan

    SciTech Connect (OSTI)

    Huston, J.J.

    1998-06-23

    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.

  19. Network Assisted Power Control 1 6/15/00 Network Assisted Power Control for Wireless Data

    E-Print Network [OSTI]

    Mandayam, Narayan

    system quality and efficiency. In recent we have applied microeconomic theories to power control taking The quality and bandwidth efficiency of wireless communications systems depend on effective power control telephone systems the technical community devoted considerable effort to devising power control schemes

  20. Imitation guided Learning in Learning Classifier Systems

    E-Print Network [OSTI]

    Métivier, Marc

    in the framework of learning classi- fier systems. We present three different approaches in the way a behavior observed may be taken into account through a guidance interaction: two approaches using a model

  1. Fluidization quality analyzer for fluidized beds

    DOE Patents [OSTI]

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

    1995-01-01

    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.

  2. Fluidization quality analyzer for fluidized beds

    DOE Patents [OSTI]

    Daw, C.S.; Hawk, J.A.

    1995-07-25

    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. 9 figs.

  3. Planning and Moving in Dynamic Environments: A statistical machine learning approach 

    E-Print Network [OSTI]

    Vijayakumar, Sethu; Toussaint, Marc; Petkos, Georgios; Howard, Matthew

    2009-01-01

    In this chapter, we develop a new view on problems of movement control and planning from a Machine Learning perspective. In this view, decision making, control, and planning are all considered as an inference or (alternately) an information...

  4. Fast machine-learning online optimization of ultra-cold-atom experiments

    E-Print Network [OSTI]

    P. B. Wigley; P. J. Everitt; A. van den Hengel; J. W. Bastian; M. A. Sooriyabandara; G. D. McDonald; K. S. Hardman; C. D. Quinlivan; P. Manju; C. C. N. Kuhn; I. R. Petersen; A. Luiten; J. J. Hope; N. P. Robins; M. R. Hush

    2015-07-20

    Machine-designed control of complex devices or experiments can discover strategies superior to those developed via simplified models. We describe an online optimization algorithm based on Gaussian processes and apply it to optimization of the production of Bose-Einstein condensates (BEC). BEC is typically created with an exponential evaporation ramp that is approximately optimal for s-wave, ergodic dynamics with two-body interactions and no other loss rates, but likely sub-optimal for many real experiments. Machine learning using a Gaussian process, in contrast, develops a statistical model of the relationship between the parameters it controls and the quality of the BEC produced. This is an online process, and an active one, as the Gaussian process model updates on the basis of each subsequent experiment and proposes a new set of parameters as a result. We demonstrate that the Gaussian process machine learner is able to discover a ramp that produces high quality BECs in 10 times fewer iterations than a previously used online optimization technique. Furthermore, we show the internal model developed can be used to determine which parameters are essential in BEC creation and which are unimportant, providing insight into the optimization process.

  5. Hands-on learning! The AT Program takes

    E-Print Network [OSTI]

    Virginia Tech

    degree. Our mission is to provide quality graduates who fulfill the technical- and management- level management and landscape and turf management. Both are designed to give students the knowledge and hands component, reinforcing classroom instruction and fostering a dynamic learning environment. ¾¾ The required

  6. Quality assurance management plan (QAPP) special analytical support (SAS)

    SciTech Connect (OSTI)

    LOCKREM, L.L.

    1999-05-20

    It is the policy of Special Analytical Support (SAS) that the analytical aspects of all environmental data generated and processed in the laboratory, subject to the Environmental Protection Agency (EPA), U.S. Department of Energy or other project specific requirements, be of known and acceptable quality. It is the intention of this QAPP to establish and assure that an effective quality controlled management system is maintained in order to meet the quality requirements of the intended use(s) of the data.

  7. Landscape Design & Water Quality

    E-Print Network [OSTI]

    Ishida, Yuko

    drainage lines to allow water to filter into surrounding soils. Install gravel sumps or other percolationLandscape Design & Water Quality Landscape Design & Water Quality Create a landscape design that reduces pesticide and fertilizer runoff and conserves water. Good plant choices, proper site preparation

  8. Teaching the Environment to Control Quantum Systems

    E-Print Network [OSTI]

    Alexander Pechen; Herschel Rabitz

    2006-09-12

    A non-equilibrium, generally time-dependent, environment whose form is deduced by optimal learning control is shown to provide a means for incoherent manipulation of quantum systems. Incoherent control by the environment (ICE) can serve to steer a system from an initial state to a target state, either mixed or in some cases pure, by exploiting dissipative dynamics. Implementing ICE with either incoherent radiation or a gas as the control is explicitly considered, and the environmental control is characterized by its distribution function. Simulated learning control experiments are performed with simple illustrations to find the shape of the optimal non-equilibrium distribution function that best affects the posed dynamical objectives.

  9. Quantum control theory and applications: A survey

    E-Print Network [OSTI]

    Daoyi Dong; Ian R Petersen

    2011-01-10

    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.

  10. Learning Demonstration Interim Progress Report -- July 2010

    SciTech Connect (OSTI)

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

    2010-09-01

    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.

  11. Quality Assurance Program Plan for radionuclide airborne emissions monitoring

    SciTech Connect (OSTI)

    Vance, L.M.

    1993-07-01

    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.

  12. Quality Management 09/15/08 INMGT 325 001

    E-Print Network [OSTI]

    Wu, Mingshen

    pursuing ISO certification or maintaining their certification. Course Topics · Introduction to Quality:2000 Certification · ISO 9000:2000 Procedures · An ISO acceptable Quality Manual Textbook The Management and Control Level; Certified Purchasing Manager; and certification as a Senior Professional in Human Resources

  13. Stormwater Quality Management: Evaluation, Optimization, and Maintenance ORIT KALMAN

    E-Print Network [OSTI]

    Lund, Jay R.

    i Stormwater Quality Management: Evaluation, Optimization, and Maintenance BY ORIT KALMAN B are preserved. Four types of evaluation methods are reviewed: chemical and physical pollution control, biological character and processes of the receiving water, ecological health of the receiving water

  14. Air Quality: Air Pollutants, SLAC Emissions Sources, and Regulatory Reference

    E-Print Network [OSTI]

    Wechsler, Risa H.

    Air Quality: Air Pollutants, SLAC Emissions Sources, and Regulatory Reference Department: Chemical permit regulations are designed to track, record, and control air pollutants belonging to several on chemical classifications. This reference outlines major categories of air pollutants found at SLAC

  15. Management of change lessons learned

    SciTech Connect (OSTI)

    Jakubowski, J.A. [Upjohn Co., Kalamazoo, MI (United States)

    1996-08-01

    This paper will describe the development of a computer program that was written to assist production units meet the requirements of the management of chance (MOC) section under the OSHA Process Safety Management (PSM) Standard, 29 CFR 1910.119 (1). Areas that will be addressed include: the development of a MOC written policy, pilot testing of change control management procedures, training of operational and maintenance personnel to follow these procedures and final implementation of established chance control measures. Practical {open_quotes}lessons learned{close_quotes} will be reviewed and a description of the use of an Access{sup {trademark}}program that was written to enhance daily MOC equipment and process changes will be highlighted. This program was designed to expedite the required PSM review of changes and to simultaneously trigger an update of related change documentation such as piping and instrumentation diagrams, equipment files, regulatory permits, and unit operating procedures.

  16. Design, Modeling, and Control of a Hydrostatic Actuator for MRI

    E-Print Network [OSTI]

    Yasin, Rashid Muhammed

    2014-01-01

    that I learned in the Mechatronics and Controls lab willASME Transactions on Mechatronics Vol 13 No 3. June 2008also thank the rest of the Mechatronics and Controls lab for

  17. Evolving Cyclic Control for a Hexapod Robot Performing Area Coverage

    E-Print Network [OSTI]

    Parker, Gary B.

    Evolving Cyclic Control for a Hexapod Robot Performing Area Coverage Gary B. Parker Department. In this paper, we use cyclic genetic al- gorithms to learn the control cycles required to make an actual hexapod

  18. Autonomous Thermal Control System Omid Ardakanian

    E-Print Network [OSTI]

    Waterloo, University of

    ) to model and efficiently control a commer- cial building heating system. We use supervised learning in space heating and cooling. Specifically, we use decision making to control the temperature of a building decision-making sys- tem to optimally control a building heating system. Our main goal is to not expend

  19. Machine Learning: Foundations and Algorithms

    E-Print Network [OSTI]

    Ben-David, Shai

    Ben-David and Shai Shalev-Shwartz. #12;ii Empirical Risk Minimization (ERM) learning rule, which shows "how can a ma- chine learn". We also quantify the amount of data needed for learning using the ERM rule

  20. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01

    components that use energy, and thermal energy load. When aLearning Control for Thermal Energy Storage Systems”. In:to validate the energy savings and thermal comfort. Also the

  1. UAV Cooperative Control with Stochastic Risk Models

    E-Print Network [OSTI]

    Geramifard, Alborz

    Risk and reward are fundamental concepts in the cooperative control of unmanned systems. This paper focuses on a constructive relationship between a cooperative planner and a learner in order to mitigate the learning risk ...

  2. WATER QUALITY MODELING OF THE

    E-Print Network [OSTI]

    Keller, Arturo A.

    WATER QUALITY MODELING OF THE STATE OF OHIO COMPONENT OF THE OHIO RIVER BASIN WATER QUALITY TRADING PROGRAM #12;Water Quality Modeling of the State of Ohio Component of the Ohio River Basin Water Quality Trading Program #12;2 Water Quality Modeling of the State of Ohio Component of the Ohio River Basin Water

  3. Learning a Representation of a Believable Virtual Character's Environment with an Imitation Algorithm

    E-Print Network [OSTI]

    Tencé, Fabien; De Loor, Pierre; Marc, Olivier

    2010-01-01

    In video games, virtual characters' decision systems often use a simplified representation of the world. To increase both their autonomy and believability we want those characters to be able to learn this representation from human players. We propose to use a model called growing neural gas to learn by imitation the topology of the environment. The implementation of the model, the modifications and the parameters we used are detailed. Then, the quality of the learned representations and their evolution during the learning are studied using different measures. Improvements for the growing neural gas to give more information to the character's model are given in the conclusion.

  4. A New Low-Cost Measurement Platform for Urea Quality Monitoring...

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

    Monitoring This technique can use specifications for urea quality to calibrate emission controls and compliance measurements. deer08linden.pdf More Documents & Publications...

  5. 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.

  6. ERASMUS EXCHANGE LEARNING AGREEMENT

    E-Print Network [OSTI]

    Pfeifer, Holger

    ERASMUS ­ EXCHANGE LEARNING AGREEMENT --FINAL THESIS / PROJECT -- Name of Applicant Exchange to conclude Bachelor Master PhD Other: Course No. Course Title Duration (Months) ECTS (5 ECTS / Month) N is approved. Date and Stamp: Coordinator Signature: #12;ERASMUS ­ EXCHANGE | LEARNING AGREEMENT --FINAL THESIS

  7. Research on Teaching & Learning

    E-Print Network [OSTI]

    Thompson, Michael

    #12;Research on Teaching & Learning GUIDEBOOK Nancy E.Fenton,RD,Ph.D Karen Szala-Meneok,Ph.D © Mc;............................ ..................... ................................................................................ Understanding Teaching and Learning Concepts What Counts as Research? Classroom Assessment Classroom Research ............................................................. ........................................... ...................... ..................................................................... ...............................Conducting Research at McMaster University Ethics of Conducting Pedagogical Research 22

  8. Learning in Parallel

    E-Print Network [OSTI]

    Vitter, Jeffrey Scott; Lin, Jyh-Han

    1992-01-01

    In this paper, we extend Valiant's sequential model of concept learning from examples [Valiant 1984] and introduce models for the e cient learning of concept classes from examples in parallel. We say that a concept class is NC-learnable if it can...

  9. 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

  10. Studies in Power Quality Success 

    E-Print Network [OSTI]

    Laan, B. A.

    2000-01-01

    The California Energy Commission is actively supporting research and development to improve power quality. Poor power quality can result in productivity losses and compromise safety. Dealing with power quality problems when they arise can solve...

  11. 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 Standards and Quality Assurance. The EM mission is to achieve safe and compliant...

  12. Power Quality Implications 

    E-Print Network [OSTI]

    Hilson, D.

    1989-01-01

    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...

  13. School quality and wages 

    E-Print Network [OSTI]

    Speakman, Robert B., Jr.

    2007-04-25

    This dissertation examines the literature that attempts to measure the relationship between school quality and earnings. I begin by developing a simple economic model that predicts that, everything else being equal and with comparisons being made...

  14. Quality Assurance Program Guide

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

    2011-08-16

    This Guide provides information on principles, requirements, and practices used to establish and implement an effective Quality Assurance Program. Admin Chg 2, dated 5-8-13, Admin Chg 1.

  15. Software Quality Assurance

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

    2000-10-02

    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.

  16. Software Quality Assurance

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

    2000-10-02

    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.

  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. Waste Management Quality Assurance Plan

    E-Print Network [OSTI]

    Waste Management Group

    2006-01-01

    LBNL/PUB-5352, Revision 6 Waste Management QualityAssurance Plan Waste Management Group Environment, HealthRev. 6 WM QA Plan Waste Management Quality Assurance Plan

  19. 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...

  20. Concept Learning Learning Concepts from Examples

    E-Print Network [OSTI]

    on features #12;2 A Concept Learning Task Four Examples: Example Sky AirTemp Humidity Wind Water ForecastTemp Humidity Wind Water Forecast EnjoySport 1 Sunny Warm Normal Strong Warm Same Yes 2 Sunny Warm High Strong attributes Example Sky AirTemp Humidity Wind Water Forecast EnjoySpor 1 Sunny Warm Normal Strong Warm Same

  1. Improving the Quality of Software Quality Determination Processes \\Lambda

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Improving the Quality of Software Quality Determination Processes \\Lambda Leon J. Osterweil a systematic, orderly, process­based approach to stating software quality objec­ tives and knowing if and when they have been achieved. We suggest that quality in software is a complex, multifaceted array

  2. Improving the Quality of Software Quality Determination Leon J. Osterweil

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Improving the Quality of Software Quality Determination Processes Leon J. Osterweil Department a systematic, orderly, process-based approach to stating software quality objec- tives and knowing if and when they have been achieved. We suggest that quality in software is a complex, multifaceted array

  3. Unit 10: Software Quality To introduce software quality management and

    E-Print Network [OSTI]

    Finkelstein, Anthony

    1 Unit 10: Software Quality Objective Ð To introduce software quality management and assurance for, and commitment to, quality. The supplier should ensure that this policy is understood or services #12;6 Management Review ¥ The quality management system will need to be reviewed at regular

  4. Chemical analysis quality assurance at the ICPP

    SciTech Connect (OSTI)

    Hand, R.L.

    1990-12-31

    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.

  5. Chemical analysis quality assurance at the ICPP

    SciTech Connect (OSTI)

    Hand, R.L.

    1990-01-01

    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.

  6. 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

  7. Specifying and testing weld neck flanges for better quality

    SciTech Connect (OSTI)

    Weirich, A.B. [Saudi Aramco, Dhahran (Saudi Arabia)

    1996-07-01

    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.

  8. Changes in quality of whole cooked sorghum {Sorghum bicolor (l) Moench} using precooking methods 

    E-Print Network [OSTI]

    Calderon de Zacatares, Vilma Ruth

    2009-05-15

    varieties compared to the control. This treatment produced grain with softer texture, increased dietary fiber and higher antioxidant activity retention (67.8%) for the tannin varieties than the control (22.7%). Evaluations of cooking quality of whole sorghum...

  9. Time series association learning

    DOE Patents [OSTI]

    Papcun, George J. (Santa Fe, NM)

    1995-01-01

    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.

  10. Solvent Quality Dependent Continuum van der Waals Attraction and Phase Behavior for Colloids Bearing

    E-Print Network [OSTI]

    Chan, Derek Y C

    Solvent Quality Dependent Continuum van der Waals Attraction and Phase Behavior for Colloids dispersion as a function of solvent quality and particle volume fraction is compared with theoretical.5 M NaCl as a function of temperature, which controls solvent quality for the adsorbed Pluronic

  11. Equivalence in Ventilation and Indoor Air Quality

    SciTech Connect (OSTI)

    Sherman, Max; Walker, Iain; Logue, Jennifer

    2011-08-01

    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.

  12. Blind quantum machine learning

    E-Print Network [OSTI]

    Yu-Bo Sheng; Lan Zhou

    2015-07-26

    Blind quantum machine learning (BQML) enables a classical client with little quantum technology to delegate a remote quantum machine learning to the quantum server in such a approach that the privacy data is preserved. Here we propose the first BQML protocol that the client can classify two-dimensional vectors to different clusters, resorting to a remote small-scale photon quantum computation processor. During the protocol, the client is only required to rotate and measure the single qubit. The protocol is secure without leaking any relevant information to the Eve. Any eavesdropper who attempts to intercept and disturb the learning process can be noticed. In principle, this protocol can be used to classify high dimensional vectors and may provide a new viewpoint and application for quantum machine learning.

  13. 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 ...

  14. Experiments in service learning

    E-Print Network [OSTI]

    Banzaert, Amy, 1976-

    2006-01-01

    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 ...

  15. 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...

  16. Quality Procedure - Document Review | Department of Energy

    Energy Savers [EERE]

    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 on DeliciousMathematicsEnergyInterested PartiesBuildingBudget || DepartmentPutting Solar-ServicesControl QualityReview

  17. Optimal filter design approaches to statistical process control for autocorrelated processes 

    E-Print Network [OSTI]

    Chin, Chang-Ho

    2005-11-01

    Statistical Process Control (SPC), and in particular control charting, is widely used to achieve and maintain control of various processes in manufacturing. A control chart is a graphical display that plots quality characteristics versus the sample...

  18. Unsupervised Learning of Object Descriptors and Compositions

    E-Print Network [OSTI]

    Ye, Xingyao

    2012-01-01

    Reported Experiments A New Experiment on Human Learning ofof previous experiments on human chunk learning, along withnew psychophysical experiment, where human observers learned

  19. Formative Assessment, Equity, and Opportunity to Learn

    E-Print Network [OSTI]

    Hilberg, Soleste

    2012-01-01

    inquiry focused on student learning, and to explore theirinquiry focused on student learning, and (c) how this workinquiry focused on student learning. Interrelatedly, there

  20. Lessons Learned Database | Department of Energy

    Office of Environmental Management (EM)

    Lessons Learned Database Lessons Learned Database The DOE Corporate Lessons Learned Database provides a central clearinghouse that allows ready access to and communication about...

  1. Optimal Online Learning with Matrix Parameters

    E-Print Network [OSTI]

    Nie, Jiazhong

    2015-01-01

    Learning Problem: the Expert Setting 1.2 Learning Matrixwith Dense Instance Matrices . . . . . . . . .Optimal Online Learning with Matrix Parameters by Jiazhong

  2. Neural predictors of auditory word learning

    E-Print Network [OSTI]

    2008-01-01

    N EURO R EPORT AUDITORY WORD LEARNING (a) (a) R Pre-trainingpredict the efficiency of word learning. Acknowledgementspredictors of visual word learning. Neuropsychologia 9.

  3. Quality Assurance Program Guide

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

    2011-08-16

    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.

  4. Quality Assurance Program Guide

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

    2011-08-16

    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.

  5. GROUNDWATER QUALITY PROTECTION PRACTICES

    E-Print Network [OSTI]

    #12;GROUNDWATER QUALITY PROTECTION PRACTICES Submitted to: Environment Canada 224 West Esplanade.............................................................................................1 2.0 GROUNDWATER RESOURCES WITHIN THE FRASER BASIN.................3 2.1 Lower Fraser Region..............................................................................5 3.0 COMMON SOURCES OF GROUNDWATER CONTAMINATION ...............6 3.1 Category 1 - Sources Designed

  6. Quality Counts Exhibitor Card 

    E-Print Network [OSTI]

    Chilek, Kevin; Gregory, Elizabeth

    2004-01-27

    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...

  7. Clothing Quality Standards 

    E-Print Network [OSTI]

    2006-05-01

    stream_source_info pdf_2298.pdf.txt stream_content_type text/plain stream_size 20810 Content-Encoding ISO-8859-1 stream_name pdf_2298.pdf.txt Content-Type text/plain; charset=ISO-8859-1 Clothing Quality Standards E-403...

  8. Effluent monitoring Quality Assurance Project Plan for radioactive airborne emissions data. Revision 2

    SciTech Connect (OSTI)

    Frazier, T.P.

    1995-12-01

    This Quality Assurance Project Plan addresses the quality assurance requirements for compiling Hanford Site radioactive airborne emissions data. These data will be reported to the U.S. Environmental Protection Agency, the US Department of Energy, and the Washington State Department of Health. Effluent Monitoring performs compliance assessments on radioactive airborne sampling and monitoring systems. This Quality Assurance Project Plan is prepared in compliance with interim guidelines and specifications. Topics include: project description; project organization and management; quality assurance objectives; sampling procedures; sample custody; calibration procedures; analytical procedures; monitoring and reporting criteria; data reduction, verification, and reporting; internal quality control; performance and system audits; corrective actions; and quality assurance reports.

  9. Feedback Error Learning for Rhythmic Motor Primitives Nakul Gopalan1, Marc Peter Deisenroth1, and Jan Peters1,2

    E-Print Network [OSTI]

    , frequently, such rhythmic motor primitives lead to failures unless a stabilizing controller ensures the stabilizing controller only for exceptions, e.g., to prevent failures, we devise an online learn- ing approach- efficiently model and generate trajectories using supervised learning methods. Subsequently, reinforcement

  10. Quality Assurance/Quality Control (QA/QC) Summary for Year 1 of the California Coast Survey Quality Assurance/Quality Control (QA/QC)

    E-Print Network [OSTI]

    generated for this section were evaluated in the Contaminants in Fish from California Coastal Year 1 report for the QC failures. Data associated with significant QC failures, or which meet the rejection criteria

  11. Intelligent Traffic Light Control Marco Wiering

    E-Print Network [OSTI]

    Utrecht, Universiteit

    an adaptive optimization al- gorithm based on reinforcement learning. We have implemented a traffic light different traffic light controllers. Experimental results indicate that our adaptive traffic lightIntelligent Traffic Light Control Marco Wiering Jelle van Veenen Jilles Vreeken Arne Koopman

  12. 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...

  13. Air Emission Regulations for the Prevention, Abatement, and Control...

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

    Siting and Permitting Provider Department of Environmental Quality The Air Emission Regulation for the Prevention, Abatement and Control of Air Contaminants is relevant to all...

  14. 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...

  15. P. J. Antsaklis, M. D. Lemmon and J. A. Stiver, "Learning to be Autonomous: Intelligent Supervisory Control," Technical Report of the ISIS (Interdisciplinary Studies of Intelligent Systems) Group, No. ISIS-

    E-Print Network [OSTI]

    Antsaklis, Panos

    Control," Technical Report of the ISIS (Interdisciplinary Studies of Intelligent Systems) Group, No. ISIS," Technical Report of the ISIS (Interdisciplinary Studies of Intelligent Systems) Group, No. ISIS- 93 of the ISIS (Interdisciplinary Studies of Intelligent Systems) Group, No. ISIS- 93-003, Univ of Notre Dame

  16. AVLIS Production Plant Preliminary Quality Assurance Plan and Assessment

    SciTech Connect (OSTI)

    Not Available

    1984-11-15

    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.

  17. Hydrogen Fuel Quality

    SciTech Connect (OSTI)

    Rockward, Tommy

    2012-07-16

    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.

  18. Defining Forage Quality 

    E-Print Network [OSTI]

    Muir, James; Lambert, Barry; Newman, Yoana

    2007-01-18

    value of the forage to be grazed, or the hay to be purchased or marketed. Knowing what affects forage quality will also help making appropriate selection of forages and supplements that will match animal requirements and result in economically... develops as well as deposition of fibrous components at the plant cell level. With advancing maturity, one of the main chemi- cals deposited internally in the plant cell walls is lig- nin. Lignin is a component of fiber that is essentially indigestible...

  19. LEARNING OUTCOMES FOR THE PSYCHOLOGY MAJOR Goal 1. Knowledge Base of Psychology

    E-Print Network [OSTI]

    Bucci, David J.

    LEARNING OUTCOMES FOR THE PSYCHOLOGY MAJOR Goal 1. Knowledge Base of Psychology Demonstrate in psychology. Learning Outcomes 1.1 Characterize the nature of psychology as a discipline. a. Identify and explain the primary objectives of psychology: describing, understanding, predicting, and controlling

  20. The Effects of Using a Greedy Factor in Hexapod Gait Learning

    E-Print Network [OSTI]

    Hickey, Timothy J.

    The Effects of Using a Greedy Factor in Hexapod Gait Learning Gary B. Parker and William T. Tarimo of this study are tested on a Cyclic Genetic Algorithm (CGA) used for learning gaits for a hexapod servo in the desired optimal gaits. Keywords- Genetic Algorithm; Cyclic Control; Hexapod; Greedy Selection; Gait

  1. Power Control Using Stochastic Measurements \\Lambda

    E-Print Network [OSTI]

    Ulukus, Sennur

    in the system satisfy their quality of service requirements. Earlier work [1, 2] identified the power control@winlab.rutgers.edu Abstract For wireless communication systems, iterative power control algorithms have been proposedPower Control Using Stochastic Measurements \\Lambda Sennur Ulukus Roy D. Yates Department

  2. Dream controller

    DOE Patents [OSTI]

    Cheng, George Shu-Xing; Mulkey, Steven L; Wang, Qiang; Chow, Andrew J

    2013-11-26

    A method and apparatus for intelligently controlling continuous process variables. A Dream Controller comprises an Intelligent Engine mechanism and a number of Model-Free Adaptive (MFA) controllers, each of which is suitable to control a process with specific behaviors. The Intelligent Engine can automatically select the appropriate MFA controller and its parameters so that the Dream Controller can be easily used by people with limited control experience and those who do not have the time to commission, tune, and maintain automatic controllers.

  3. Adding a Learning Module -1 Adding a Learning Module

    E-Print Network [OSTI]

    Cui, Yan

    Items focused on a specific subject that students can navigate at their own pace. For example or No for Enforce Sequential Viewing for the Learning Module. Selecting Yes will require students to view the Learning Module within a Table of Contents, which students can also use to navigate through the Learning

  4. 1 Design by Autonomous Learning Design by Autonomous Learning

    E-Print Network [OSTI]

    Prabhakar, Sattiraju

    1 Design by Autonomous Learning Design by Autonomous Learning: Modeling Environment for Design Box 123, Broadway NSW 2007, Australia Email: {prabhakar, gjsmith}@socs.uts.edu.au 1. Design by Autonomous Learning An important area of expertise robots can provide is design of artefacts in physical

  5. 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...

  6. Total quality management implementation guidelines

    SciTech Connect (OSTI)

    Not Available

    1993-12-01

    These Guidelines were designed by the Energy Quality Council to help managers and supervisors in the Department of Energy Complex bring Total Quality Management to their organizations. Because the Department is composed of a rich mixture of diverse organizations, each with its own distinctive culture and quality history, these Guidelines are intended to be adapted by users to meet the particular needs of their organizations. For example, for organizations that are well along on their quality journeys and may already have achieved quality results, these Guidelines will provide a consistent methodology and terminology reference to foster their alignment with the overall Energy quality initiative. For organizations that are just beginning their quality journeys, these Guidelines will serve as a startup manual on quality principles applied in the Energy context.

  7. Learning Deep Generative Ruslan Salakhutdinov

    E-Print Network [OSTI]

    Toronto, University of

    Learning Deep Generative Models Ruslan Salakhutdinov Departments of Computer Science reserved Keywords deep learning, deep belief networks, deep Boltzmann machines, graphical models Abstract suggest that building such systems requires models with deep architectures that involve many layers

  8. Smart subtitles for vocabulary learning

    E-Print Network [OSTI]

    Kovacs, Geza

    Language learners often use subtitled videos to help them learn. However, standard subtitles are geared more towards comprehension than vocabulary learning, as translations are nonliteral and are provided only for phrases, ...

  9. Signed Quality Assurance Hub Memo

    Office of Environmental Management (EM)

    SECCTRITY PROGRAM ENVIRONMENTAL MANAGEMENT SUBJECT: Office of Environmental Management Quality Assurance Performance Assessment, Commitment, and Corrective Action Management...

  10. 2010 Quality Council Annual Report

    Broader source: Energy.gov [DOE]

    DEPARTMENT OF ENERGY QUALITY COUNCIL ANNUAL REPORT For Calendar Year 2010 Office of Health Safety and Security

  11. Estimate product quality with ANNs

    SciTech Connect (OSTI)

    Brambilla, A. [Univ. of Pisa (Italy); Trivella, F. [Adicon Advanced Distillation Control SrL, Pisa (Italy)

    1996-09-01

    Artificial neural networks (ANNs) have been applied to predict catalytic reformer octane number (ON) and gasoline splitter product qualities. Results show that ANNs are a valuable tool to derive fast and accurate product quality measurements, and offer a low-cost alternative to online analyzers or rigorous mathematical models. The paper describes product quality measurements, artificial neural networks, ANN structure, estimating gasoline octane numbers, and estimating naphtha splitter product qualities.

  12. Irrigation Water Quality Salinity Management

    E-Print Network [OSTI]

    and industrial waste water can impact water quality. In most irrigation situations, the primary water qual- ity

  13. IRRIGATION WATER QUALITY FOR AGRICULTURE

    E-Print Network [OSTI]

    Radcliffe, David

    IRRIGATION WATER QUALITY FOR AGRICULTURE Irrigation Water Background In the past, there were minor of irrigation water in Georgia. This is because only a small amount of acreage under irrigated agriculture utilized potable (suitable for drinking) quality water. Thus, quality of irrigation water was not closely

  14. Extracting quality information from PL/1 legacy ecosystems Masterarbeit der Philosophisch-naturwissenschaftlichen Fakultat der

    E-Print Network [OSTI]

    Nierstrasz, Oscar

    St1-PL/1 Extracting quality information from PL/1 legacy ecosystems Masterarbeit der Philosophisch presents a case study of analyzing a legacy PL/1 ecosystem that has grown for 40 years and runs on a modern several interviews to learn about legacy ecosystem analysis requirements. We briefly introduce the tool

  15. Century Learning through Apple Technology

    E-Print Network [OSTI]

    21st Century Learning through Apple Technology July 4 ­ 5, 2013 This exciting institute will appeal to educators who wish to enhance their teaching in support of 21st century learning using Apple technology. This institute begins with a keynote address that looks at how new technologies can enhance 21st century learning

  16. Writing and Assessing Learning Outcomes

    E-Print Network [OSTI]

    Fernandez, Eduardo

    Outcomes... Are student-focused Focus on learning resulting from an activity rather than the activity outcomes) to describing effectiveness (Learning outcomes) · Links Student Affairs and Academic Affairs; links curricular and co-curricular #12;Biggest challenges to assessing learning · Students do

  17. Implications of different classes of sensorimotor disturbance for cerebellar-based motor learning models 

    E-Print Network [OSTI]

    Haith, Adrian; Vijayakumar, Sethu

    2009-01-01

    The exact role of the cerebellum in motor control and learning is not yet fully understood. The structure, connectivity and plasticity within cerebellar cortex has been extensively studied, but the patterns of connectivity ...

  18. Unit 100 - Data Quality Measurement and Assessment

    E-Print Network [OSTI]

    100, CC in GIScience; Veregin, Howard; Hunter, Gary

    2000-01-01

    Page 18 Unit 100 - Data Quality Measurement and AssessmentPage 19 Unit 100 - Data Quality Measurement and AssessmentData Quality Measurement and Assessment Unit 100 - Data

  19. DOE Challenge Home Recommended Quality Management Provisions...

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

    Recommended Quality Management Provisions DOE Challenge Home Recommended Quality Management Provisions DOE Challenge Home Recommended Quality Management Provisions. qm6-14-13.pdf...

  20. A quantum speedup in machine learning: Finding a N-bit Boolean function for a classification

    E-Print Network [OSTI]

    Seokwon Yoo; Jeongho Bang; Changhyoup Lee; Jinhyoung Lee

    2014-10-14

    We compare quantum and classical machines designed for learning an N-bit Boolean function in order to address how a quantum system improves the machine learning behavior. The machines of the two types consist of the same number of operations and control parameters, but only the quantum machines utilize the quantum coherence naturally induced by unitary operators. We show that quantum superposition enables quantum learning that is faster than classical learning by expanding the approximate solution regions, i.e., the acceptable regions. This is also demonstrated by means of numerical simulations with a standard feedback model, namely random search, and a practical model, namely differential evolution.

  1. Software Carpentry: Lessons Learned

    E-Print Network [OSTI]

    Greg Wilson

    2014-01-29

    Over the last 15 years, Software Carpentry has evolved from a week-long training course at the US national laboratories into a worldwide volunteer effort to raise standards in scientific computing. This article explains what we have learned along the way the challenges we now face, and our plans for the future.

  2. Development/Plasticity/Repair Group I Metabotropic Glutamate Receptors Control

    E-Print Network [OSTI]

    Grau, James

    Development/Plasticity/Repair Group I Metabotropic Glutamate Receptors Control Metaplasticity the spinal cord can support several forms of plasticity, including response­outcome (instrumental) learning. This inhibi- tion of plasticity in spinal learning is itself a form of plasticity that requires i

  3. CYCLIC GENETIC ALGORITHMS FOR EVOLVING MULTILOOP CONTROL PROGRAMS

    E-Print Network [OSTI]

    Parker, Gary B.

    algorithms, sensors, learning, search, hexapod 1. INTRODUCTION Cyclic Genetic Algorithm (CGA), a variant of traditional successfully been used evolve single loop control programs hexapod gaits and area coverage path modeled simulation a hexapod robot equipped with sensors. The task of learning search behavior autonomous

  4. Underlying Quality Principles

    Broader source: Energy.gov [DOE]

    These principles are consistent with Integrated Safety Management Policy, P 450.4A and support ISM implementation. 1. Define Policies and Objectives--Ensure they are Understood and Accepted. Management must set expectations for the organization as a whole before employees can do their jobs, satisfy their customers, and strive to improve the quality of their work. This is accomplished by developing and implementing specific policies and objectives that reflect the operating philosophy of the facility's management. Once these policies and objectives have been established, all managers must take the necessary actions to ensure that each employee shares their vision of the organization's purpose.

  5. Section 22: Quality Assurance

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

    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-ThroughputUpcomingmagnetoresistanceand Governmentm D m r e D m . 2.4Figure9Quality

  6. ARM - Data Quality Program

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

    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory of rare Kaonforsupernovae2Gathering and Delivery Data Gathering andQuality

  7. Environmental Restoration Quality Program Plan

    SciTech Connect (OSTI)

    Colley, J.S.

    1992-08-01

    The Martin Marietta Energy Systems, Inc., Environmental Restoration (ER) Program was initially chartered on October 1, 1989, as a entral Environmental Restoration Division'' to manage the investigation and remediation of inactive sites and facilities that have been declared surplus and have no further programmatic use. The Energy Systems ER Division was established to support the DOE Oak Ridge Field Office (DOE-OR) consolidated ER Program. The DOE-OR Assistant Manager for Environmental Restoration and Waste Management provides program and budget direction to the Energy Systems ER Program for environmental restoration activities at the sites operated by Energy Systems (Oak Ridge K-25 Site, Oak Ridge National Laboratory, Oak Ridge Y-12 Plant, Paducah Gaseous Diffusion Plant, Portsmouth Gaseous Diffusion Plant) and at the off-site locations. The Energy Systems ER Division is specifically charged with assessing these sites for potential contamination and managing the cleanup processes. The Energy Systems Environmental Restoration Division was chartered on October 1, 1989, as a central organization to manage the Remedial Action (RA) Program. The purpose of this document is to ensure that: senior ER management provides planning, organization, direction, control, and support to achieve the organization's objectives; the line organization achieves quality; and overall performance is reviewed and evaluated using a rigorous assessment process.

  8. 16 au Spring 2012 esri.com Areas of concern defined by ZIP Code Water quality monitoring station and hydro buffers

    E-Print Network [OSTI]

    Short, Daniel

    Carolina Department of Health and Environmental Control (SCDHEC) Bureau of Water, Division of Water Quality) Control Projects on impaired water bodies in South Carolina. Water bodies that do not meet water quality16 au Spring 2012 esri.com Areas of concern defined by ZIP Code Water quality monitoring station

  9. Autonomous Navigation and Sign Detector Learning Liam Ellis1

    E-Print Network [OSTI]

    Bowden, Richard

    on a fully autonomous robotic platform, featuring a single camera mounted on a standard remote control car This article presents an autonomous robotic platform that learns to navigate on a track and discovers such as the position of lane mark- ers, other cars and traffic signs, and a common approach is to encode specific

  10. An Application of Reinforcement Learning to Aerobatic Helicopter Flight

    E-Print Network [OSTI]

    Thrun, Sebastian

    An Application of Reinforcement Learning to Aerobatic Helicopter Flight Pieter Abbeel, Adam Coates Autonomous helicopter flight is widely regarded to be a highly challenging control problem. This paper presents the first successful autonomous completion on a real RC helicopter of the following four aerobatic

  11. Renewables and air quality

    SciTech Connect (OSTI)

    Wooley, D.R.

    2000-08-01

    The US heavy reliance on fossil fuels is a central obstacle to improving air quality and preventing catastrophic climate change. To solve this problem will require a combination of financial incentives and market rules that strongly encourage development of renewable energy resources to meet electric power demand. One promising policy option is to allow renewable energy resources to directly participate in air pollution emission trading mechanisms. Currently, the clean air benefits of renewable energy generally go unrecognized by regulators, under-appreciated by consumers and uncompensated by markets. Renewable energy is a key clean air alternative to conventional electricity generation, and the development of renewables could be stimulated by changes to the Clean Air Act's emissions trading programs. As Congress revisits clean air issues over the next several years, renewable energy representatives could push for statutory changes that reward the renewable energy industry for the air quality benefits it provides. By also becoming involved in key US Environmental Protection Agency (EPA) and state rule-making cases, the renewables industry could influence the structure of emissions trading programs and strengthen one of the most persuasive arguments for wind, solar and biomass energy development.

  12. Lessons learned bulletin. Number 2

    SciTech Connect (OSTI)

    Not Available

    1994-05-01

    During the past four years, the Department of Energy -- Savannah River Operations Office and the Westinghouse Savannah River Company (WSRC) Environmental Restoration (ER) Program completed various activities ranging from waste site investigations to closure and post closure projects. Critiques for lessons learned regarding project activities are performed at the completion of each project milestone, and this critique interval allows for frequent recognition of lessons learned. In addition to project related lessons learned, ER also performs lessons learned critiques. T`he Savannah River Site (SRS) also obtains lessons learned information from general industry, commercial nuclear industry, naval nuclear programs, and other DOE sites within the complex. Procedures are approved to administer the lessons learned program, and a database is available to catalog applicable lessons learned regarding environmental remediation, restoration, and administrative activities. ER will continue to use this database as a source of information available to SRS personnel.

  13. Follow Water Quality Robots on Twitter On May 9, 2012, UC Berkeley researchers launched a fleet of 100 water quality sensors into

    E-Print Network [OSTI]

    with water control boards. #12;Up to Top Nature Art: Patterns A Massive Starling Murmuration Becomes "A Real05/22/2012 Follow Water Quality Robots on Twitter On May 9, 2012, UC Berkeley researchers launched a fleet of 100 water quality sensors into Northern California's Sacramento River. Designed to track water

  14. Software Engineering Meets Control Theory Antonio Filieri, Martina Maggio

    E-Print Network [OSTI]

    Software Engineering Meets Control Theory Antonio Filieri, Martina Maggio Konstantinos Angelopoulos-adaptive. These approaches take inspiration from machine learning and control theory, constructing software that monitors and modifies its own behavior to meet goals. Control theory, in particular, has received considerable attention

  15. Medical imaging using ionizing radiation: Optimization of dose and image quality in fluoroscopy

    SciTech Connect (OSTI)

    Jones, A. Kyle; Balter, Stephen; Rauch, Phillip; Wagner, Louis K.

    2014-01-15

    The 2012 Summer School of the American Association of Physicists in Medicine (AAPM) focused on optimization of the use of ionizing radiation in medical imaging. Day 2 of the Summer School was devoted to fluoroscopy and interventional radiology and featured seven lectures. These lectures have been distilled into a single review paper covering equipment specification and siting, equipment acceptance testing and quality control, fluoroscope configuration, radiation effects, dose estimation and measurement, and principles of flat panel computed tomography. This review focuses on modern fluoroscopic equipment and is comprised in large part of information not found in textbooks on the subject. While this review does discuss technical aspects of modern fluoroscopic equipment, it focuses mainly on the clinical use and support of such equipment, from initial installation through estimation of patient dose and management of radiation effects. This review will be of interest to those learning about fluoroscopy, to those wishing to update their knowledge of modern fluoroscopic equipment, to those wishing to deepen their knowledge of particular topics, such as flat panel computed tomography, and to those who support fluoroscopic equipment in the clinic.

  16. Quality Research Administration MeetingQuality Research Administration Meeting Sandra Stevens

    E-Print Network [OSTI]

    Wood, Marcelo A.

    Quality Research Administration MeetingQuality Research Administration Meeting SPA Update Sandra, 2015 #12;Quality Research Administration Meeting SPA Realignment · Review of current organizational-Federal Team ­ Clinical Trials Team #12;Quality Research Administration Meeting #12;Quality Research

  17. SOFTWARE QUALITY & SYSTEMS ENGINEERING PROGRAM: Software Configuration...

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

    SOFTWARE QUALITY & SYSTEMS ENGINEERING PROGRAM: Software Configuration Management Checklist SOFTWARE QUALITY & SYSTEMS ENGINEERING PROGRAM: Software Configuration Management...

  18. DOE Challenge Home Recommended Quality Management Provisions

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

    Recommended Quality Management Provisions RECOMMENDED QUALITY MANAGEMENT PROVISIONS QM Provision Builder Documentation & Verification Requirements RaterVerifier Requirements QM...

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

    Office of Environmental Management (EM)

    PROGRAM SOFTWARE QUALITY & SYSTEMS ENGINEERING PROGRAM System Maintenance Checklist SOFTWARE QUALITY & SYSTEMS ENGINEERING PROGRAM More Documents & Publications Preacceptance...

  20. SOFTWARE QUALITY & SYSTEMS ENGINEERING PROGRAM: Requirements...

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

    requirements management activities SOFTWARE QUALITY & SYSTEMS ENGINEERING PROGRAM: Requirements Management Checklist More Documents & Publications SOFTWARE QUALITY & SYSTEMS...

  1. Part Two ATM Traffic Management and Control A Comparative Performance Analysis of Call Admission Control

    E-Print Network [OSTI]

    Elsayed, Khaled Fouad

    -mail: hp@eos.ncsu.edu Key words: Call Admission Control, Traffic Management, ATM Networks, Quality (which is typically a workstation attached to the switch). The resource manager controls the operations113 Chapter 5 Part Two ATM Traffic Management and Control A Comparative Performance Analysis

  2. Air quality VI details environmental progress

    SciTech Connect (OSTI)

    2007-12-31

    A report is given of the International Conference on Air Quality VI where key topics discussed were control of mercury, trace elements, sulphur trioxide and particulates. This year a separate track was added on greenhouse gas reduction, with panels on greenhouse gas policy and markets, CO{sub 2} capture and sequestration, and monitoring, mitigation and verification. In keynote remarks, NETL Director Carl Bauer noted that emissions have gone down since 1990 even though coal consumption has increased. The conference provided an overview of the state-of-the-science regarding key pollutants and CO{sub 2}, the corresponding regulatory environment, and the technology readiness of mitigation techniques. 1 photo.

  3. Vocal Control Region Sizes of an Adult Female Songbird Change Seasonally in the Absence of

    E-Print Network [OSTI]

    Deviche, Pierre

    ­211, 2000 Keywords: junco; androgen; HVc; sexual dimorphism; plasticity In oscine birds, song is a learned birds, brain areas [vocal control regions (VCRs)] that control vocal behavior learning and expression. In behaviorally dimorphic species, VCRs are larger in males than females and change seasonally also in females

  4. Construction quality assurance report

    SciTech Connect (OSTI)

    Roscha, V.

    1994-09-08

    This report provides a summary of the construction quality assurance (CQA) observation and test results, including: The results of the geosynthetic and soil materials conformance testing. The observation and testing results associates with the installation of the soil liners. The observation and testing results associated with the installation of the HDPE geomembrane liner systems. The observation and testing results associated with the installation of the leachate collection and removal systems. The observation and testing results associated with the installation of the working surfaces. The observation and testing results associated with in-plant manufacturing process. Summary of submittal reviews by Golder Construction Services, Inc. The submittal and certification of the piping material specifications. The observation and verification associated of the Acceptance Test Procedure results of the operational equipment functions. Summary of the ECNs which are incorporated into the project.

  5. A Tale of Two Addiction Theories: the effects of cocaine exposure on cue-induced motivation and action control

    E-Print Network [OSTI]

    LeBlanc, Kimberly Hathaway

    2012-01-01

    231. Balleine B (1995) Motivation control of heterogenousdopamine and opioids in the motivation to eat: influence ofPsychology of Learning and Motivation, pp 55-98. Orlando,

  6. Learning Legged Swimming Gaits from Experience David Meger1, Juan Camilo Gamboa Higuera1, Anqi Xu1, Philippe Gigu`ere2 and Gregory Dudek1

    E-Print Network [OSTI]

    Dudek, Gregory

    that a hexapod flipper-propelled robot can learn task-specific control policies purely from experience data. Our swimming controllers for the Aqua family of hexapod amphibious robots [1], which employ six flexible

  7. Distance Learning Faculty Handbook

    E-Print Network [OSTI]

    Lozano-Robledo, Alvaro

    ;3. Course Delivery 3.1. Managing Multiple Sites 9 3.2. Things You Should and Should Not Do On Camera 9 3.5. Troubleshooting Technical Issues 19 4. Getting Help 4.1. Logistics and Administration 20 4.2. Course Design 20 4.3. Technical Support 20 5. Faculty Resources 5.1. Institute for Teaching and Learning 21 5.1.1. IDD

  8. Indoor air quality: Selected references

    SciTech Connect (OSTI)

    Not Available

    1989-05-01

    This document was compiled in response to an increasing number of requests for information about indoor air quality, including sick-building syndrome. Included in the publication are the NIOSH Congressional testimony presented before the Subcommittee on Energy Development and Applications; two articles describing the results of NIOSH research and findings on indoor air-quality problems; NIOSH guidance on conducting indoor-air-quality investigations; and a description of the NIOSH health-hazard evaluation program, which can provide NIOSH assistance in evaluating indoor-air-quality problems.

  9. 1 Copyright 2007 by ASME ABET ALIGNMENT OF LEARNING RESOURCES IN THE ENGINEERING

    E-Print Network [OSTI]

    Agogino, Alice M.

    .engineeringpathway.com) strives to provide quality educational resources for learners of all age levels. ABET Engineering Criteria the learning resources from the NEEDS (National Engineering Education Digital-library System) [12] and the K-12 education and professional development resources); but also serves as the information hub for educators

  10. Discrimination and Clustering --Can we learn from this college football data set?

    E-Print Network [OSTI]

    Sun, Jiayang

    Discrimination and Clustering -- Can we learn from this college football data set? Scott Snyder discriminant rule for classify­ ing individuals' membership based upon some (pri­ marily physical) dependent positions. This is helpful to determine the quality of a discrimination rule based on the available data

  11. Neutron Radiography Reactor Reactivity -- Focused Lessons Learned

    SciTech Connect (OSTI)

    Eric Woolstenhulme; Randal Damiana; Kenneth Schreck; Ann Marie Phillips; Dana Hewit

    2010-11-01

    As part of the Global Threat Reduction Initiative, the Neutron Radiography Reactor (NRAD) at the Idaho National Laboratory (INL) was converted from using highly enriched uranium (HEU) to low enriched uranium (LEU) fuel. After the conversion, NRAD resumed operations and is meeting operational requirements. Radiography image quality and the number of images that can be produced in a given time frame match pre-conversion capabilities. However, following the conversion, NRAD’s excess reactivity with the LEU fuel was less than it had been with the HEU fuel. Although some differences between model predictions and actual performance are to be expected, the lack of flexibility in NRAD’s safety documentation prevented adjusting the reactivity by adding more fuel, until the safety documentation could be modified. To aid future reactor conversions, a reactivity-focused Lessons Learned meeting was held. This report summarizes the findings of the lessons learned meeting and addresses specific questions posed by DOE regarding NRAD’s conversion and reactivity.

  12. WC 26 - Water Quality Control Administrative Provisions | Open Energy

    Open Energy Info (EERE)

    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| Open Energy Information Serbia-EnhancingEt Al.,Turin,Village of Wellington,FL97-11 SEPA Rules Jump to:22

  13. Model Quality Control Matrix Tools for Defining Commissioning Process 

    E-Print Network [OSTI]

    Nakahara, N.; Onojima, H.; Kamitani, K.

    2004-01-01

    to computerized documents, URLs or edocuments, URLs or e--mail addresses. mail addresses. Structure of MQC Matrix continued Structure of MQC Matrix continued Operation of MQC Two functions of MQC tool. ?One is the organized database management of commissioning...

  14. Producer Nutritional Quality Controls Ecosystem Trophic Just Cebrian1.

    E-Print Network [OSTI]

    Cardinale, Bradley J.

    , fast energy recycling, and reduced carbon accumulation. Anthropogenic changes in producer nutritional the original author and source are credited. Funding: This work was supported by funding provided. Competing Interests: The authors have declared that no competing interests exist. * E-mail: jcebrian

  15. Air Quality Control Act (New Mexico) | Department of Energy

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

    Systems Integrator Transportation Tribal Government Utility Program Info State New Mexico Program Type Environmental Regulations Provider Environment This act states the duties...

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

    E-Print Network [OSTI]

    Giger, Christine

    Laboratory: Computer exercises (Pfister) · Regionalized environmental assessment of global power plants of Warsaw, Poland · Environmental Impact of Virtual Meetings including Rebound Effects · Carbon Footprint · Evaluation of future designs of treatment and recycling plants and waste management systems Skills after

  17. Control-Based Quality Adaptation in Data Stream Management Systems

    E-Print Network [OSTI]

    Hefeeda, Mohammed

    in a traditional DBMS, the processing of continuous queries in a data stream management system (DSMS) needs elements. Processing of data streams brings great challenges to DBMS design for two major reasons. First Management Systems 747 very common in data stream applications. Unlike those in a traditional DBMS, queries

  18. Discovery of ubiquitin ligases involved in cytoplasmic quality control

    E-Print Network [OSTI]

    Heck, Jarrod Wesley

    2010-01-01

    Converging concepts of protein folding in vitro and in vivo.chaperones in cellular protein folding. Current Opinion inof endoplasmic reticulum protein folding. J Cell Biol, 2001.

  19. Quality Controlled Radiosonde Profile from MC3E

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

    Toto, Tami; Jensen, Michael

    The sonde-adjust VAP produces data that corrects documented biases in radiosonde humidity measurements. Unique fields contained within this datastream include smoothed original relative humidity, dry bias corrected relative humidity, and final corrected relative humidity. The smoothed RH field refines the relative humidity from integers - the resolution of the instrument - to fractions of a percent. This profile is then used to calculate the dry bias corrected field. The final correction fixes a time-lag problem and uses the dry-bias field as input into the algorithm. In addition to dry bias, solar heating is another correction that is encompassed in the final corrected relative humidity field. Additional corrections were made to soundings at the extended facility sites (S0*) as necessary: Corrected erroneous surface elevation (and up through rest of height of sounding), for S03, S04 and S05. Corrected erroneous surface pressure at Chanute (S02).

  20. ER quality control : understanding misfolded protein recognition and retrotranslocation

    E-Print Network [OSTI]

    Sato, Brian Keith

    2008-01-01

    C. , Walter, J. , and Sommer, T. 2005. Ubx2 links the Cdc48Bohmler, S. , Bordallo, J. , Sommer, T. , and Wolf, D.H.T. , Volkwein, C. , and Sommer, T. 1996. Degradation of

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

    E-Print Network [OSTI]

    Turiel, Isaac

    2011-01-01

    U"'"'''"'" - e "'~saon Automatic Variable Ventilation1979) LBL~8893 EEB Vent 79-3 Automatic variable ventilationmeasurement capabilities o Automatic operation o Low

  2. Parameters Affecting Viscosity as a Quality Control for Frozen Fish

    E-Print Network [OSTI]

    at the International Sym- posium on Alterations in the Chemical Constitu- ents of Foods in Industrial Processing and preserved chilled, was purchased at a local market. The muscle was minced using a mincer with plate orfices/second and then vacuum-packed and stored at -24°C for the 5 days during which tests were made. The apparent viscosity (Y

  3. Quality Controlled Radiosonde Profile from MC3E

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

    Toto, Tami; Jensen, Michael

    2014-11-13

    The sonde-adjust VAP produces data that corrects documented biases in radiosonde humidity measurements. Unique fields contained within this datastream include smoothed original relative humidity, dry bias corrected relative humidity, and final corrected relative humidity. The smoothed RH field refines the relative humidity from integers - the resolution of the instrument - to fractions of a percent. This profile is then used to calculate the dry bias corrected field. The final correction fixes a time-lag problem and uses the dry-bias field as input into the algorithm. In addition to dry bias, solar heating is another correction that is encompassed in the final corrected relative humidity field. Additional corrections were made to soundings at the extended facility sites (S0*) as necessary: Corrected erroneous surface elevation (and up through rest of height of sounding), for S03, S04 and S05. Corrected erroneous surface pressure at Chanute (S02).

  4. Hawaii Department of Health Office of Environmental Quality Control | Open

    Open Energy Info (EERE)

    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 on QA:QAsource History View New PagesSustainableGlynnMassachusetts:Ohio: EnergyMinnesota:HavreCounty,Energy

  5. Hawaii Office of Environmental Quality Control Webpage | Open Energy

    Open Energy Info (EERE)

    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 on QA:QAsource History View New PagesSustainableGlynnMassachusetts:Ohio:Website Jump to:OpenInformationInformation

  6. Porter-Cologne Water Quality Control Act | Open Energy Information

    Open Energy Info (EERE)

    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 on QA:QAsource History ViewMayo, Maryland:NPIProtectio1975) |Texas: EnergyOklahoma:Ewen, NewPortageHeights,Porter-Cologne

  7. Regional Water Quality Control Boards | Open Energy Information

    Open Energy Info (EERE)

    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 onRAPID/Geothermal/Exploration/Colorado <RAPID/Geothermal/WaterEnergyRedfield1989) JumpLiterature Review |

  8. Nevada Air Quality Control Permitting Guidance Webpage | Open Energy

    Open Energy Info (EERE)

    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 on QA:QAsource History ViewMayo, Maryland:NPI Ventures Ltd JumpNesjavellir Geothermal Power1987) | OpenInformation

  9. ARM - Evaluation Product - Quality Controlled Eddy Correlation Flux

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

    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach HomeA Better Anode Design to Improve4AJ01) (See EnergyCurrent

  10. Preparing for the Quality Control Inspector Certification Exam | Department

    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 on Delicious RankADVANCED MANUFACTURINGEnergy Bills andOrderNATIONAL CHAIRS MEETINGof2015 |Industry |PrepareJuneMayof

  11. NREL Job Task Analysis: Quality Control Inspector | 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i nAand DOEDepartment of Energy009At26-2009 has preparedNRECAcrewquality

  12. California State Water Resources Control Board 401 Water Quality

    Open Energy Info (EERE)

    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 on QA:QA J-E-1 SECTION JEnvironmentalBowerbank, Maine:Kansas: EnergyCalendarCalhounWebpageProject |University CSU Jump

  13. Colorado Water Quality Control Act | Open Energy Information

    Open Energy Info (EERE)

    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 on QA:QA J-E-1 SECTION J APPENDIX ECoopButtePower Ventures Jump to: navigation,EnergyColoradoBank andUniversity

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

    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 on Delicious Rank EERE:FinancingPetroleum Based|Department of5 Peer ReviewUse of He isotopesConceptModelingHEnergy

  15. Audits and Quality Control on Multifamily Retrofits | 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 on Delicious Rank EERE: Alternative FuelsofProgram:Y-12Power, Inc | DepartmentPeer20 AuditIG-0832 AuditAssistance Program

  16. Performance and Portability of an Air Quality Model Donald Dabdub

    E-Print Network [OSTI]

    Manohar, Rajit

    and planning for the control of air pollution episodes. The California Institute of Technology (CIT) photochemical model is one such air quality model. It is used to predict the pollution dynamics in the South Coast Air Basin of California. It has also been modified to model pollution in South Korea, Mexico

  17. uilding high-quality, industrial-strength software is difficult.

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    B uilding high-quality, industrial- strength software is difficult. Indeed, it has been argued that developing such software in domains like telecommunications, industrial control, and business process manage, a wide range of software engineering paradigms have been devised. Each successive development either

  18. Air Quality and Emissions Impacts of Heat Island Mitigation Strategies

    E-Print Network [OSTI]

    by generating fewer emissions from electricity production. These benefits, however, are difficult quality planning process. If a model were available to accurately predict the decrease in temperature and detailed manner is important if heat island control strategies are to be viewed as "quantifiable

  19. Air Quality Modeling in the South Coast Air Basin of California: What Do the Numbers Really Mean?

    E-Print Network [OSTI]

    Dabdub, Donald

    photochemical air quality models are used by regulatory agencies to design emission control strategies that lead models. For instance, it reported statistical errors in the prediction of O3 and NOx concentration and emission controls. Fine et al.2 identified different sources of uncertainty on air quality models

  20. National Fuel Cell Electric Vehicle Learning Demonstration Final Report

    SciTech Connect (OSTI)

    Wipke, K.; Sprik, S.; Kurtz, J.; Ramsden, T.; Ainscough, C.; Saur, G.

    2012-07-01

    This report discusses key analysis results based on data from early 2005 through September 2011 from the U.S. Department of Energy's (DOE's) Controlled Hydrogen Fleet and Infrastructure Validation and Demonstration Project, also referred to as the National Fuel Cell Electric Vehicle (FCEV) Learning Demonstration. This report serves as one of many mechanisms to help transfer knowledge and lessons learned within various parts of DOE's Fuel Cell Technologies Program, as well as externally to other stakeholders. It is the fifth and final such report in a series, with previous reports being published in July 2007, November 2007, April 2008, and September 2010.

  1. Machine LearningMachine Learning SrihariSrihari Linear Dynamical Systems

    E-Print Network [OSTI]

    Machine LearningMachine Learning SrihariSrihari Linear Dynamical Systems Sargur N. Srihari srihari@cedar.buffalo.edu Machine Learning Course: http://www.cedar.buffalo.edu/~srihari/CSE574/index.html #12;Machine LearningMachine;Machine LearningMachine Learning SrihariSrihari Motivation · Simple problem in practical settings

  2. Combustion Control 

    E-Print Network [OSTI]

    Riccardi, R. C.

    1984-01-01

    American industry is responding to the challenges of high fuel prices, intense international competition, and a renewed emphasis on quality. To meet these demands, industry has looked at many opportunities--some have been cost effective, some...

  3. RealReal--Time AdvancedTime Advanced Process Control forProcess Control for

    E-Print Network [OSTI]

    Rubloff, Gary W.

    enables prediction of crystal quality Significance GaN HEMT technology requires precise control of Al to 35% AlN) High: breakdown suffers Low: 2DEG diminished Thickness (~20 to 25 nm) Thick: pinch

  4. Lessons Learned | Department of Energy

    Energy Savers [EERE]

    Articles: NQA-1 Light Coherent Linac Source National Ignition Facility Spallation Neutron Source National Ignition Facility Other Helpful Links DOE Corporate Lessons Learned...

  5. Learning Tiny Theories Tim Menzies

    E-Print Network [OSTI]

    Menzies, Tim

    Learning Tiny Theories Tim Menzies , Rajesh Gunnalan , Kalaivani Appukutty , Amarnath Srinivasan Engineering, University of British Columbia, Canada {gunnalan|avani|amarnath}@csee

  6. Quality Management Why bother Certificating?

    E-Print Network [OSTI]

    Paxton, Anthony T.

    1 Quality Management #12;2 Why bother Certificating? External view from trained auditors helps Is Quality? Degree to which a set of inherent characteristics fulfils requirements ISO 9000:2000 #12) (Prevention) (Direction) BS 5750 1979-1987 ISO 9001/2/3 1987-2000 ISO 9001 2000, amended 2008 #12;5 What

  7. Reformulated gasoline quality issues

    SciTech Connect (OSTI)

    Gonzalez, R.G.; Felch, D.E.; Edgar, M.D.

    1995-11-01

    One year ago, a panel of industry experts were interviewed in the November/December 1994 issue of Fuel Reformulation (Vol. 4, No. 6). With the focus then and now on refinery investments, the panelists were asked to forecast which refining processes would grow in importance. It is apparent from their response, and from other articles and discussions throughout the year, that hydroprocessing and catalytic conversion processes are synergistic in the overall refinery design, with flexibility and process objectives varying on a unit-by-unit case. To an extent, future refinery investments in downstream petrochemicals, such as for paraxylene production, are based on available catalytic reforming feedstock. Just a importantly, hydroprocessing units (hydrotreating, hydrocracking) needed for clean fuel production (gasoline, diesel, aviation fuel), are heavily dependent on hydrogen production from the catalytic reformer. Catalytic reforming`s significant influence in the refinery hydrogen balance, as well as its status as a significant naphtha conversion route to higher-quality fuels, make this unit a high-priority issue for engineers and planners striving for flexibility.

  8. Quality Assurance/Quality Control (QA/QC) Summary for the California Rivers and Streams Study

    E-Print Network [OSTI]

    Study #12;APPENDIX 1 Page 2 of 15 The data generated for this section were evaluated in the Contaminants #12;APPENDIX 1 Page 3 of 15 when accounting for the QC failures. Data associated with significant QC failures, or which meet the rejection criteria specified in the Rivers QAPP are unusable for the purposes

  9. Mobile Learning Environment System (MLES): The Case of Android-based Learning Application on Undergraduates' Learning

    E-Print Network [OSTI]

    Hanafi, Hafizul Fahri

    2012-01-01

    Of late, mobile technology has introduced new, novel environment that can be capitalized to further enrich the teaching and learning process in classrooms. Taking cognizance of this promising setting, a study was undertaken to investigate the impact of such an environment enabled by android platform on the learning process among undergraduates of Sultan Idris Education University, Malaysia; in particular, this paper discusses critical aspects of the design and implementation of the android learning system. Data were collected through a survey involving 56 respondents, and these data were analyzed by using SPSS 12.0. Findings showed that the respondents were very receptive to the interactivity, accessibility, and convenience of the system, but they were quite frustrated with the occasional interruptions due to internet connectivity problems. Overall, the mobile learning system can be utilized as an inexpensive but potent learning tool that complements undergraduates' learning process.

  10. Lessons Learned Quarterly Report, June 2004

    Broader source: Energy.gov [DOE]

    Welcome to the 39th quarterly report on lessons learned in the NEPA process. In this issue we are continuing a multi-part examination of lessons learned from Lessons Learned.

  11. Lessons Learned Quarterly Report, March 2004

    Office of Energy Efficiency and Renewable Energy (EERE)

    Welcome to the 38th quarterly report on lessons learned in the NEPA process. In this issue we are continuing a multi-part examination of lessons learned from Lessons Learned.

  12. Advanced controls pay out in 6 weeks at Texas refinery

    SciTech Connect (OSTI)

    Bullerdiek, E.A. [Marathon Oil Co., Texas City, TX (United States); Hobbs, J.W. [Inferential Control Co., Broken Arrow, OK (United States)

    1995-06-19

    Marathon Oil Co. installed advanced controls on two crude units and a fluid catalytic cracking unit main fractionator at its 70,000 b/d Texas City, Tex., refinery. The advanced controls were based on inferred properties supplied by an outside vendor, who also provided consulting and assistance during the implementation phases. (Inferred properties are on-line computations for estimating laboratory test properties, such as ASTM boiling point and flash point, that are used for product quality control.) The paper discusses inferred properties, bias updating, control strategies, control implementation, and post-project work, including fuzzy logic, the statistical quality control program, benefits, and availability.

  13. Noise Brush: Interactive High Quality Image-Noise Separation Chi-Keung Tang

    E-Print Network [OSTI]

    Wang, Jue

    Noise Brush: Interactive High Quality Image-Noise Separation Jia Chen Chi-Keung Tang The Hong) and a noise layer (bottom) (this example is produced by Noiseware [Imagenomic Inc. 2008]), our system provides the user with a set of easy interactive control to achieve high quality image-noise separation shown in (c

  14. Achieving Software Quality with Testing Coverage Measures: Metrics, Tools, and Applications

    E-Print Network [OSTI]

    Lyu, Michael R.

    Achieving Software Quality with Testing Coverage Measures: Metrics, Tools, and Applications J. R of data flow testing, describes a software testing and analysis tool called ATAC, which measures the effectiveness of testing data, and presents two case studies connecting software quality with the control

  15. Green Roofs: Optimizing the Water Quality of Rooftop Runoff Brett Long1

    E-Print Network [OSTI]

    Clark, Shirley E.

    Green Roofs: Optimizing the Water Quality of Rooftop Runoff Brett Long1 , Shirley E. Clark1 roofing is an accepted stormwater control technology, little is known about the quality of the roof runoff. In Phase I of this research, several green roof media (formed from commonly-used expanded minerals

  16. Toward Quality EDA Tools and Tool Flows Through High-Performance Computing

    E-Print Network [OSTI]

    Markov, Igor

    more sophis- ticated and are held to increasing standards of quality. New- generation EDA tools must hardware to logistical tasks, i.e., the speedy collection, reporting and analysis of empirical re- sults immediately. The value of quality control is underlined by economical considerations. EDA tools are much more

  17. OSIRIS Version 2.0: INTELLIGENT DNA PROFILE ANALYSIS AND QUALITY ASSURANCE SOFTWARE

    E-Print Network [OSTI]

    Levin, Judith G.

    OSIRIS Version 2.0: INTELLIGENT DNA PROFILE ANALYSIS AND QUALITY ASSURANCE SOFTWARE Authors: George Software Data Export OSIRIS Features Acknowledgements Installs automatically when downloaded from: http process quality) E. Laboratory accepted off ladder alleles, lab positive control alleles and trialleles

  18. A Stochastic Stormwater Quality Volume-Sizing Method with First Flush Emphasis

    E-Print Network [OSTI]

    District of Columbia, University of the

    A Stochastic Stormwater Quality Volume-Sizing Method with First Flush Emphasis Soroosh Sharifi1 to assess the effect of stormwater quality volume captured by best management practices (BMPs for controlling urban stormwater pollution on the overall discharge of pollutants into waterways. This allows

  19. Next step in change: The ``learning organization``

    SciTech Connect (OSTI)

    Ross, C.E.H. [Arthur D. Little Inc., Houston, TX (United States)

    1996-11-11

    Although the cost reductions over the past 15 years were painful, they forced the petroleum industry to put resources to work more efficiently, and now they`re doing many of the right things in the right ways. Foremost, they`ve been finding and developing new oil resources from a wide variety of sources at low costs, even while in many areas the quality of the resource base has continued to deteriorate. They`ve also made great progress in stripping costs out of the entire supply chain, remediating environmental problems, reformulating fuels, and managing risk. In a low price environment, performance improvement is the name of the game, and over time a number of tools have been created to help meet this challenge. Because these tools have been developed successively, each building upon the accomplishments of its predecessors, the author sees them as the ``building blocks`` of organizational transformation. The latest building block -- and one that a lot of thought is being put into at Arthur D. Little -- is the ``learning organization.`` This and the other building blocks are discussed (decentralization, total quality management, business process redesign, high performance business, and virtualization).

  20. A quantitative model to predict the cost of quality nonconformance in the construction industry 

    E-Print Network [OSTI]

    Opara, Ethelbert Okechukwu

    1993-01-01

    The use of modern quality management techniques, such as, statistical process control, TQM, QA/QC, the Deming and Taguchi methods, motivation theories, modern training and supervision methods, effective communication systems, etc., to improve...