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Note: This page contains sample records for the topic "quality control learn" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


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

Water Quality Control Act (Tennessee)  

Broader source: Energy.gov [DOE]

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

3

Foreword: Quality Research for Learning, Education, and Training  

E-Print Network [OSTI]

Quality seems to be a complex concept, specifically in the field of learning, education, and training. The tradition of quality goes back to the ages of craftsmanship and to industrialization, when factories established postproduction inspection departments. Several principles of Taylor’s (1911) approach to process organization can still be found in today’s quality approaches. The concepts of quality control (Juran, 1951) and total quality

Jan M. Pawlowski; Kathryn Chang Barker

4

Robot Learning Learning Models for Control  

E-Print Network [OSTI]

in order to ensure the safe interaction with human beings. In contrast, traditional industrial robots45 Robot Learning Learning Models for Control Duy Nguyen-Tuong, Matthias Seeger1, Jan Peters Bringing anthropomorphic robots into human daily life requires backdrivable robots with compliant control

5

ContentsContents4466Reliability and quality control  

E-Print Network [OSTI]

ContentsContents4466Reliability and quality control 1. Reliability 2. Quality Control Learning outcomes You will first learn about the importance of the concept of reliability applied to systems previous experience with certain mathematical topics this time may vary considerably. 1 #12;Reliability

Vickers, James

6

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

E-Print Network [OSTI]

Total Quality Control and Total Quality Learning In order tototal quality control (TQC) and total quality learning (Structure Total Quality Control and organizational

Simard, C; Rice, Ronald E

2006-01-01T23:59:59.000Z

7

Water Quality Control (Texas)  

Broader source: Energy.gov [DOE]

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

8

Feedback controller parameterizations for reinforcement learning  

E-Print Network [OSTI]

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 ...

Roberts, John William

9

Georgia Water Quality Control Act (Georgia)  

Broader source: Energy.gov [DOE]

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

10

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...

11

NREL Job Task Analysis: Quality Control Inspector  

SciTech Connect (OSTI)

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

Kurnik, C.; Woodley, C.

2011-05-01T23:59:59.000Z

12

Current Quality Culture Mini Paper Six Sigma Quality Control  

E-Print Network [OSTI]

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

Vardeman, Stephen B.

13

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

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

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

14

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

E-Print Network [OSTI]

The focus of this thesis is on learning approaches for what we call ``low-quality data'' and in particular data in which only small amounts of labeled target data is available. The first part provides background discussion ...

Quanz, Brian

2012-08-31T23:59:59.000Z

15

How intense quality control improves hydraulic fracturing  

SciTech Connect (OSTI)

Not unlike the subject of Forced Closure, Intense Quality Control is probably misnamed. What actually is discussed in this article is pilot testing of the fracturing fluids actually pumped at in-situ conditions of temperature and shear. Presented here is development of the need for onsite testing, equipment used, shear and viscosity curves from several jobs showing what went wrong that would otherwise not have been known, and a discussion of borate gel fluids.

Ely, J.W. [Ely and Associates, Inc., Houston, TX (United States)

1996-11-01T23:59:59.000Z

16

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

E-Print Network [OSTI]

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

Giger, Christine

17

9 QUALITY ASSURANCE AND QUALITY CONTROL 9.1 Introduction  

E-Print Network [OSTI]

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

18

Quality Management of CERN Vacuum Controls  

E-Print Network [OSTI]

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

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

2014-01-01T23:59:59.000Z

19

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

E-Print Network [OSTI]

APPENDIX 1 Quality Assurance/Quality Control (QA/QC) Summary for the California Rivers and Streams Ambient Monitoring Program (SWAMP) Quality Assurance Program Plan (QAPrP) are outlined in the Rivers QAPP may arise so that corrective actions can be implemented. Quality control samples prepared and analyzed

20

New Directions in Measurement for Software Quality Control  

E-Print Network [OSTI]

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

Suryn, Witold

Note: This page contains sample records for the topic "quality control learn" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

A QUALITY CONTROL FRAMEWORK FOR BUS SCHEDULE RELIABILITY  

E-Print Network [OSTI]

A QUALITY CONTROL FRAMEWORK FOR BUS SCHEDULE RELIABILITY JIE LIN*, University of Illinois Institute A QUALITY CONTROL FRAMEWORK FOR BUS SCHEDULE RELIABILITY Abstract This paper develops and demonstrates a quality control framework for bus schedule reliability. Automatic Vehicle Location (AVL) devices

Illinois at Chicago, University of

22

Optimal Resource Allocation for the Quality Control Process Pankaj Jalote  

E-Print Network [OSTI]

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

Jalote, Pankaj

23

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

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

Surface Radiation Measurement Quality Control testing, including climatologically configurable limits

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

24

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

Open Energy Info (EERE)

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

25

E-Print Network 3.0 - application quality control Sample Search...  

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

quality control Search Powered by Explorit Topic List Advanced Search Sample search results for: application quality control Page: << < 1 2 3 4 5 > >> 1 CSP 587: Software Quality...

26

Societal Research Archives System : Retrieval, quality control and analysis  

E-Print Network [OSTI]

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

White, Douglas R.

27

Reinforcement Learning Control with Approximation of Time-Dependent Agent Dynamics  

E-Print Network [OSTI]

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...

Kirkpatrick, Kenton

2013-04-30T23:59:59.000Z

28

NIF Projects Controls and Information Systems Software Quality Assurance Plan  

SciTech Connect (OSTI)

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.

Fishler, B

2011-03-18T23:59:59.000Z

29

Federal, State, and Local Water Quality Control  

E-Print Network [OSTI]

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

Rosemond, Amy Daum

30

Quality improvement and control based on defect reduction  

E-Print Network [OSTI]

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

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

2010-01-01T23:59:59.000Z

31

Protein quality control in the mammalian endoplasmic reticulum  

E-Print Network [OSTI]

Quality control is an important part of protein biogenesis. Aberrant proteins must be destroyed before they aggregate and cause deleterious effects. Failure to do so can result in cell death or malfunction and, ultimately, ...

Klemm, Elizabeth J. (Elizabeth Joanna)

2011-01-01T23:59:59.000Z

32

Quality Management of CERN Vacuum Controls  

E-Print Network [OSTI]

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

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

2014-01-01T23:59:59.000Z

33

A diagnostic procedure for multivariate quality control  

E-Print Network [OSTI]

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

Keserla, Adhinarayan A.

1993-01-01T23:59:59.000Z

34

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

E-Print Network [OSTI]

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

Grossman, Robert

35

Software Quality Assurance Control of Existing Systems  

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists' Research |RegulationRenewable Energy (EERE)SmartRemarks Prepared for EnergyQuality

36

On learning machines for engine control Gerard Bloch1  

E-Print Network [OSTI]

the experimental costs (Sect. 3.3). 1.1 Common features in engine control The main function of the engine is to ensure the vehicle mobility by providing the power to the vehicle transmission. Nevertheless, the engineOn learning machines for engine control GÂŽerard Bloch1 , Fabien Lauer1 , and Guillaume Colin2 1

Paris-Sud XI, Université de

37

Uncertainty Propagation for Quality Assurance in Reinforcement Learning  

E-Print Network [OSTI]

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

38

Self-teaching neural network learns difficult reactor control problem  

SciTech Connect (OSTI)

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

Jouse, W.C.

1989-01-01T23:59:59.000Z

39

GenePRIMP: A software quality control tool  

SciTech Connect (OSTI)

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.

Amrita Pati

2010-05-05T23:59:59.000Z

40

GenePRIMP: A software quality control tool  

ScienceCinema (OSTI)

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.

Amrita Pati

2010-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "quality control learn" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

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

42

Methods for Learning Control Policies from Variable-Constraint  

E-Print Network [OSTI]

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

Vijayakumar, Sethu

43

Learning Forward Models for the Operational Space Control of  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

44

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

SciTech Connect (OSTI)

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

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

2012-11-01T23:59:59.000Z

45

E-Print Network 3.0 - analytical quality control Sample Search...  

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

this trial and error process without sacrificing quality. Process control... the design process, and result in better quality products. A neural model can also supplement...

46

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

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

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

47

The Use of EST Expression Matrixes for the Quality Control of Gene Expression Data  

E-Print Network [OSTI]

for tissue typing and quality control of libraries as small as just a few hundred total ESTs. Furthermore, weThe Use of EST Expression Matrixes for the Quality Control of Gene Expression Data Andrew T Expression Matrixes for the Quality Control of Gene Expression Data. PLoS ONE 7(3): e32966. doi:10

Sheldon, Nathan D.

48

A quality control framework for bus schedule reliability Jie Lin a,*, Peng Wang b  

E-Print Network [OSTI]

A quality control framework for bus schedule reliability Jie Lin a,*, Peng Wang b , Darold T and demonstrates a quality control framework for bus schedule reliability. Automatic vehicle loca- tion (AVL demonstrating that it can provide quick and accurate quality control. Published by Elsevier Ltd. Keywords

Illinois at Chicago, University of

49

CR mammography: Design and implementation of a quality control program  

SciTech Connect (OSTI)

Despite the recent acquisition of significant quantities of computed radiography CR equipment for mammography, Mexican regulations do not specify the performance requirements for digital systems such as those of CR type. The design of a quality control program QCP specific for CR mammography systems was thus considered relevant. International protocols were taken as reference to define tests, procedures and acceptance criteria. The designed QCP was applied in three CR mammography facilities. Important deficiencies in spatial resolution, noise, image receptor homogeneity, artifacts and breast thickness compensation were detected.

Moreno-Ramirez, A.; Brandan, M. E.; Villasenor-Navarro, Y.; Galvan, H. A.; Ruiz-Trejo, C. [Instituto de Fisica, Universidad Nacional Autonoma de Mexico, DF 04510 (Mexico); Departamento de Radiodiagnostico, Instituto Nacional de Cancerologia, DF 14080 (Mexico); Instituto de Fisica, Universidad Nacional Autonoma de Mexico, DF 04510 (Mexico)

2012-10-23T23:59:59.000Z

50

Cumulative sum quality control for calibrated breast density measurements  

SciTech Connect (OSTI)

Purpose: Breast density is a significant breast cancer risk factor. Although various methods are used to estimate breast density, there is no standard measurement for this important factor. The authors are developing a breast density standardization method for use in full field digital mammography (FFDM). The approach calibrates for interpatient acquisition technique differences. The calibration produces a normalized breast density pixel value scale. The method relies on first generating a baseline (BL) calibration dataset, which required extensive phantom imaging. Standardizing prospective mammograms with calibration data generated in the past could introduce unanticipated error in the standardized output if the calibration dataset is no longer valid. Methods: Sample points from the BL calibration dataset were imaged approximately biweekly over an extended timeframe. These serial samples were used to evaluate the BL dataset reproducibility and quantify the serial calibration accuracy. The cumulative sum (Cusum) quality control method was used to evaluate the serial sampling. Results: There is considerable drift in the serial sample points from the BL calibration dataset that is x-ray beam dependent. Systematic deviation from the BL dataset caused significant calibration errors. This system drift was not captured with routine system quality control measures. Cusum analysis indicated that the drift is a sign of system wear and eventual x-ray tube failure. Conclusions: The BL calibration dataset must be monitored and periodically updated, when necessary, to account for sustained system variations to maintain the calibration accuracy.

Heine, John J.; Cao Ke; Beam, Craig [Cancer Prevention and Control Division, Moffitt Cancer Center, 12902 Magnolia Drive, Tampa, Florida 33612 (United States); Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, 1603 W. Taylor St., Chicago, Illinois 60612 (United States)

2009-12-15T23:59:59.000Z

51

Machine Learning for Humanoid Robot Modeling and Control /  

E-Print Network [OSTI]

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

Wu, Tingfan

2013-01-01T23:59:59.000Z

52

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

E-Print Network [OSTI]

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

Sutton, Richard S.

53

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.

54

Learning Structural Changes of Gaussian Graphical Models in Controlled Experiments  

E-Print Network [OSTI]

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

Zhang, Bai

2012-01-01T23:59:59.000Z

55

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...

56

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

SciTech Connect (OSTI)

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)

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

2013-07-01T23:59:59.000Z

57

Quality Assurance Program Plan for FFTF effluent controls. Revision 1  

SciTech Connect (OSTI)

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

Seamans, J.A.

1995-06-08T23:59:59.000Z

58

NON-DESTRUCTIVE QUALITY EVALUATION OF THE DIE- CASTING BY LASER CONTROL SYSTEM  

E-Print Network [OSTI]

Automotive quality demands are getting higher every year. Aluminium die-castings are especially important components in the automotive industry because of their light weight, rigidity, good corrosion resistance and heat dissipation. Since the pressure die-casting process is a very complex procedure, there must also be a number of quality controls to avoid dimensional, internal and surface defects. The dimensional and internal objective quality controls are already implemented on in-line real time production. As for the surface quality control of die-castings only subjective visual control of the worker is used. This subjective visual control of surface is substituted with objective surface quality control by the laser control system. The laser control system acquires the three-dimensional (3D) data by the principle of laser triangulation and analyses the surface defects by LACO (Laser Casting Control) analysis. 3D data representing the measured surface of the die-casting is statistically analyzed and evaluated. It is capable of detecting the most common die-casting surface defects, such as laminations, cold shuts, non-fills, stains and imprints. We found that the LACO system satisfies the requirements for detecting surface defects on diecastings. Combined with the dimensional and internal quality controls, it is a good way of obtaining a total automatic quality inspection with records of die-castings in real time production. Key words: Surface defect, Laser triangulation, Detection method, Aluminium, Die-casting. 1.

Valter Gruden; Janez Možina

59

Matlab Toolbox to Perform Secondary Quality Control (2nd on Hydrographic Data  

E-Print Network [OSTI]

Matlab Toolbox to Perform Secondary Quality Control (2nd QC) on Hydrographic Data Toste Tanhua, Leibniz Institute for Marine Sciences, Kiel, Germany. This Matlab package will help you perform secondary cite as: Tanhua, T. 2010. Matlab Toolbox to Perform Secondary Quality Control (2nd QC) on Hydrographic

60

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

E-Print Network [OSTI]

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

Hebert, Daniel N.

Note: This page contains sample records for the topic "quality control learn" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

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

SciTech Connect (OSTI)

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.

Owens, C. M.

2013-09-01T23:59:59.000Z

62

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

E-Print Network [OSTI]

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

Packebush, Sherrill Janine

1993-01-01T23:59:59.000Z

63

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

E-Print Network [OSTI]

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

Mallin, Michael

64

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.

65

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.

66

Quality Assurance Specialist  

Broader source: Energy.gov [DOE]

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

67

Exploring former interaction qualities for tomorrow's control room design  

E-Print Network [OSTI]

.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

Reiterer, Harald

68

First analysis stepsFirst analysis steps o quality control and optimization  

E-Print Network [OSTI]

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

Spang, Rainer

69

MARKIS: The Dutch marine database and its quality control system J. B. Wijngaard  

E-Print Network [OSTI]

2006 #12;1 Contents Introduction 3 History 4 To a relational database 5 MARKIS database 6 QualityMARKIS: The Dutch marine database and its quality control system J. B. Wijngaard De Bilt, February a long history of collecting and archiving marine data. In 1854 Dutch merchant ships started to transfer

Stoffelen, Ad

70

E-Print Network 3.0 - automatic quality control Sample Search...  

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

by Explorit Topic List Advanced Search Sample search results for: automatic quality control Page: << < 1 2 3 4 5 > >> 1 Numerical 3D models used for an evaluation of software...

71

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

E-Print Network [OSTI]

) processes control the distribution of porosity and permeability within petroleum reservoir rocks and prediction of the quality (porosity, permeability) of petroleum reservoirs during their exploration and production. The description and documentation of key petrographic features is an important tool

Oliveira, Manuel M.

72

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

E-Print Network [OSTI]

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

Lakshmanan, Valliappa

73

E-Print Network 3.0 - air quality control Sample Search Results  

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

Powered by Explorit Topic List Advanced Search Sample search results for: air quality control Page: << < 1 2 3 4 5 > >> 1 AQAST Short-Term Project PI: Richard McNider, University...

74

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

E-Print Network [OSTI]

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

Satayapunt, Jeeradete

1991-01-01T23:59:59.000Z

75

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

Broader source: Energy.gov [DOE]

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

76

Contractor Work Planning and Control URS Lessons Learned | Department...  

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

Office of Environmental Management Work Planning and Control Oversight Integration of Safety Culture Attributes into EFCOG Work Planning and Control Guidance Document Lessons...

77

Online Weld Quality NDE & Control with IR Thermography  

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

noise * Ice Cubes - 0C. Large temperate differential (dT25C), but wet * Vortex Tube Cold Air Gun - dT15C, difficult to control air flow, less consistent * Hot...

78

Analyst Tools and Quality Control Software for the ARM Data System  

SciTech Connect (OSTI)

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.

Moore, S.T.

2004-12-14T23:59:59.000Z

79

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:Year in Review: TopEnergy DOEDealingVehicle1 ClosingAInnovations inFinal Report EERE Quality

80

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:YearRound-UpHeat Pump Models |Conduct,Final9:Department of EnergyQC Workshop AgendaEERE Quality

Note: This page contains sample records for the topic "quality control learn" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

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

82

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

E-Print Network [OSTI]

Nanotube Formation: Researchers Learn To Control The Dimensions Of Metal Oxide Nanotubes ScienceDaily (Aug. 29, 2007) -- Moving beyond carbon nanotubes, researchers are developing insights-walled inorganic nanotubes could be useful in a range of nanotechnology applications that require precise control

Nair, Sankar

83

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

E-Print Network [OSTI]

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

Tedrake, Russ

84

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.

85

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

E-Print Network [OSTI]

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

86

Low-Emissions Exhaust Quality Control System to Optimize  

E-Print Network [OSTI]

Use (Absorption Chiller, Boiler, others) Exhaust control unit (ExECU) integrated with a prime mover the overall system efficiency of various DG/CHP systems when operating on natural gas or a renewable fuel range of fuel and the range of increase in overall efficiency. The project will focus on applying

87

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...

88

The University's approach to quality management The University of Bath has a reputation for excellence as a result of sustained success in learning  

E-Print Network [OSTI]

representatives, the outcomes of the University's routine quality management processes, and good practice for excellence as a result of sustained success in learning and teaching and research over a number of years to make the case for a particular approach to learning and teaching, or it can be about drawing upon

Burton, Geoffrey R.

89

Real-Time Control of Diesel Combustion Quality  

SciTech Connect (OSTI)

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.

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

2010-06-30T23:59:59.000Z

90

Machine Learning for Humanoid Robot Modeling and Control /  

E-Print Network [OSTI]

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

Wu, Tingfan

2013-01-01T23:59:59.000Z

91

The mass production and quality control of RPCs for the Daya Bay Experiment  

SciTech Connect (OSTI)

Resistive plate chambers will be used in the Daya Bay reactor neutrino experiment to help veto backgrounds created by cosmic-ray muons. The mass production of RPCs began in 2008 and by the end of 2009, 1600 RPCs (3500 m{sup 2}) had been produced and tested. This paper describes the production and quality control procedures, and quality assurance using cosmic-ray testing.

Hackenburg R.

2011-03-30T23:59:59.000Z

92

Online learning algorithm for structural control using magnetorheological actuators  

E-Print Network [OSTI]

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

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

2007-01-01T23:59:59.000Z

93

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

E-Print Network [OSTI]

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

Ghahramani, Zoubin

94

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

E-Print Network [OSTI]

, 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...

Chang, Ruei-Ping

2013-08-12T23:59:59.000Z

95

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

E-Print Network [OSTI]

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

Sifakis, Joseph

96

Preliminary Thermography Studies for Quality Control of Concrete Structures Strengthened with  

E-Print Network [OSTI]

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

Entekhabi, Dara

97

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

98

Diffusion-wave laser radiometric diagnostic quality-control technologies for materials NDE/NDT  

E-Print Network [OSTI]

Diffusion-wave laser radiometric diagnostic quality-control technologies for materials NDE/NDT A in two emerging NDE/NDT technologies. The solution of the ill-posed thermal- wave inverse problem has radiometric NDE metrology capable of measuring the primary photo- injected free carrier parameters

Mandelis, Andreas

99

Real-Time Wind Turbine Emulator Suitable for Power Quality and Dynamic Control Studies  

E-Print Network [OSTI]

1 Real-Time Wind Turbine Emulator Suitable for Power Quality and Dynamic Control Studies Dale S. L. Dolan, Student Member, IEEE, P. W. Lehn, Member IEEE Abstract-- Wind turbines are increasingly becoming-time Wind Turbine Emulator, which emulates the dynamic torque produced by an actual turbine has been

Lehn, Peter W.

100

Quality Control and Verification of Weather Radar Wind Profiles IWAN HOLLEMAN  

E-Print Network [OSTI]

- tions of the vertical velocity, which is a sum of the vertical wind velocity and the hydrometeor fall. 1986). Profiles of wind speed and direction, hydrometeor fall speed, and divergence have been obtainedQuality Control and Verification of Weather Radar Wind Profiles IWAN HOLLEMAN Royal Netherlands

Stoffelen, Ad

Note: This page contains sample records for the topic "quality control learn" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Kinetic control of catalytic CVD for high quality graphene at low temperatures  

E-Print Network [OSTI]

Kinetic control of catalytic CVD for high quality graphene at low temperatures Robert S. Weatherup1, Bruno Dlubak1, Stephan Hofmann1,* 1Dept. of Engineering, University of Cambridge, Cambridge CB3 0FA, UK ABSTRACT Low temperature (~600°C... ), scalable chemical vapor deposition of high quality, uniform mono-layer graphene is demonstrated with a mapped Raman 2D/G ratio of >3.2, D/G ratio ? 0.08 and carrier mobilities of ? 3000cm2V-1s-1 on SiO2 support. A kinetic growth model for graphene CVD...

Weatherup, Robert S.; Dlubak, Bruno; Hofmann, Stephan

2012-10-01T23:59:59.000Z

102

Self-Learning Controller for Plug-in Hybrid Vehicles Learns Recharge  

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administrationcontroller systemsBi (2) SrEvaluating the Seasonalsw 'PeeringStations for Optimal

103

Appendix A: Continuous Quality Improvement Matrix Student Learning Outcomes Relevant Experiences Measures Use of Results  

E-Print Network [OSTI]

in considering equity vs. efficiency tradeoffs within real world situations. Average = 4.64/6 Individual faculty on this measure. It is possible that new elective courses may be neccesary at some point in the future to improve performance on this goal. #12;Student Learning Outcomes Relevant Experiences Measures Use of Results equity vs

Gering, Jon C.

104

EDEN, Vienne, 2006 QUALITY IN THE NEW LEARNING SPACE: ONGOING PROCESS  

E-Print Network [OSTI]

of the methodology and tools. Our references are mainly the EFQM model and partly the norm ISO 9001, in its version, proposes to offer a ground for practical design and implementation of a quality methodology, a training package for staff in charge of its implementation, a validation field and a knowledge data base

Paris-Sud XI, Université de

105

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.

106

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

E-Print Network [OSTI]

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

Fliegel, Jonathan 1988-

2012-09-24T23:59:59.000Z

107

Influence of cultural practices on yield, quality and disease control of 'Chenin Blanc' grapes in Southeast Texas  

E-Print Network [OSTI]

INFLUENCE OF CULTURAL PRACTICES ON YIELD, QUALITY AND DISEASE CONTROL OF 'CHENIN BLANC' GRAPES IN SOUTHEAST TEXAS A Thesis by IVA SUZANNE WILSON Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment... on Yield, Quality and Disease Control of 'Chenin Blanc' Grapes in Southeast Texas. (December 1989) Iva Suzanne Wilson, B. S. , Southwest Texas State University Co-Chair of Advisory Committee: J. Dan Hanna George Ray McEachern Canopy management...

Wilson, Iva Suzanne

1989-01-01T23:59:59.000Z

108

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

DOE Patents [OSTI]

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.

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

2012-07-10T23:59:59.000Z

109

Quality assurance guidance for TRUPACT-II (Transuranic Package Transporter-II) payload control  

SciTech Connect (OSTI)

The Transuranic Package Transporter-II (TRUPACT-II) Safety Analysis Report for Packaging (SARP) approved by the Nuclear Regulatory Commission (NRC), discusses authorized methods for payload control in Appendix 1.3.7 and the Quality Assurance (QA) requirements in Section 9.3. Subsection 9.3.2.1 covers maintenance and use of the TRUPACT-II and the specific QA requirements are given in DOE/WIPP 89-012. Subsection 9.3.2.2 covers payload compliance, for which this document was written. 6 refs.

Not Available

1989-10-01T23:59:59.000Z

110

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

E-Print Network [OSTI]

that has occurred in recent past. While the quality management system that is in place at XYZ monitors and improves the overall quality of the products, it does not capture the quality losses as it should. Quality losses occur due to human error...

Shaikh, Sameer

2011-05-20T23:59:59.000Z

111

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

E-Print Network [OSTI]

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

Kurzweg, Timothy P.

112

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

E-Print Network [OSTI]

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

Webb, Geoff

113

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

E-Print Network [OSTI]

production process and customer information Low Total Quality Learning: continuous innovation and learning: exploration

Simard, C; Rice, Ronald E

2006-01-01T23:59:59.000Z

114

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)

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.

Not Available

2014-05-01T23:59:59.000Z

115

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

E-Print Network [OSTI]

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

Monk, Douglas Matthew

2007-04-25T23:59:59.000Z

116

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

E-Print Network [OSTI]

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

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

2015-01-01T23:59:59.000Z

117

Mise en oeuvre du contrle de qualit d'une camra TEMP-TDM Quality control of hybrid SPECT-TDM  

E-Print Network [OSTI]

qualité, activimÚtre, dosimétrie Abstract : Like many nuclear medicine center, the decision of November 25, and even in some cases nothing was done. Our experience in quality control in nuclear medicine these controls. Key words : SPECT-CT, gamma camera, quality control, dose calibrator, dosimetry hal-00458358

Paris-Sud XI, Université de

118

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

E-Print Network [OSTI]

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) ĂŒberblickt werden, die FĂ€higkeit

Reyle, Uwe

119

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

SciTech Connect (OSTI)

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.

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

2002-10-01T23:59:59.000Z

120

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

SciTech Connect (OSTI)

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.

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

2001-12-03T23:59:59.000Z

Note: This page contains sample records for the topic "quality control learn" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

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

SciTech Connect (OSTI)

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

Antonio, Cheryl L.

2012-07-19T23:59:59.000Z

122

Mechanical sampling systems for coal quality control in Romanian power plants  

SciTech Connect (OSTI)

According to ISO 1988 samples must be taken from moving currents by using certain mechanical devices, and, only, exceptionally, by an understanding between party`s, by manually sampling. The principal requirements when designing and constructing a mechanical sampling system are that: it shall be capable of collecting and preparing increments or samples, as the case may be, that are free from relevant bias; it shall maintain this capability under all such conditions of sampling that are stipulated in the relevant specifications and without necessitating that sampling be interrupted for cleaning or maintenance. Actually, coal quality control in Romanian power plants are usually performed by a manual system. In order to meet ISO 1988 requirements, RENEL-GSCI (formerly ICEMENERG) has designed and achieved a falling stream sampler with cutter bucket in accordance with ISO 9411-1 (solid mineral fuels - Mechanical sampling from moving stream) provisions. This device has been installed in the Oradea 2 cogeneration power plant in the coal falling stream at the end of the belt conveyor. When the mechanical sampling installation was commissioned, experiments to check for precision and bias had been out for the installation as a whole. The method of checking for bias was by comparison with stopped-belt sampling. The mechanical sampling device is still under testing. The paper presents the result obtained during the preliminary test period in order to certify the mechanical sampler.

Matei, M. [Romanian Electricity Authority, Bucharest (Romania). Study, Research and Engineering Group

1998-12-31T23:59:59.000Z

123

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

SciTech Connect (OSTI)

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

Antonio, Cheryl L.

2008-02-19T23:59:59.000Z

124

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

SciTech Connect (OSTI)

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).

Antonio, Cheryl L.

2012-07-19T23:59:59.000Z

125

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

E-Print Network [OSTI]

to Water Quality Improvement and Flood Control. (Under the direction of Dr.William F. Hunt.) In North were compared to permeable pavement exfiltrate quality for pH and concentrations of total nitrogen (TN capabilities in reducing runoff, but are not credited for improving water quality. To further test

Hunt, William F.

126

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

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

measures), LC-MS analyses with poor quality pep-tide abundance data can bias downstream statistical analyses and hence the biological interpretation for an otherwise high...

127

Quality Management  

Broader source: Energy.gov [DOE]

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

128

Data Quality Assessment and Control for the ARM Climate Research Facility  

SciTech Connect (OSTI)

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.

Peppler, R

2012-06-26T23:59:59.000Z

129

To Appear in the Proceedings of the 1997 Meeting of the American Association of Artificial Intelligence. Learning in a Fuzzy Logic Robot Controller 1  

E-Print Network [OSTI]

Intelligence. Learning in a Fuzzy Logic Robot Controller 1 Douglas S. Blank and J. Oliver Ross University in robotics. Fuzzy logic controllers allow for the integration of high­level, human­ designed plans to operate a method for dealing with inexact variable values. A robot under the control of a fuzzy logic, behavior

Blank, Douglas

130

To Appear in the Proceedings of the 1997 Meeting of the American Association of Artificial Intelligence. Learning in a Fuzzy Logic Robot Controller1  

E-Print Network [OSTI]

Intelligence. Learning in a Fuzzy Logic Robot Controller1 Douglas S. Blank and J. Oliver Ross University in robotics. Fuzzy logic controllers allow for the integration of high-level, human- designed plans to operate a method for dealing with inexact variable values. A robot under the control of a fuzzy logic, behavior

Blank, Douglas

131

Factors controlling reservoir quality in tertiary sandstones and their significance to geopressured geothermal production  

SciTech Connect (OSTI)

Variable intensity of diagenesis is the factor primarily responsible for contrasting regional reservoir quality of Tertiary sandstones from the upper and lower Texas coast. Detailed comparison of Frio sandstone 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. The 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. However, in predicting reservoir quality on a site-specific basis, locally variable factors such as relative proportions for porosity types, pore geometry as related to permeability, and local depositional environment must also be considered. Even in an area of regionally favorable reservoir quality, such local factors can significantly affect reservoir quality and, hence, the geothermal production potential of a specific sandstone unit.

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

1981-01-01T23:59:59.000Z

132

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

E-Print Network [OSTI]

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

133

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

E-Print Network [OSTI]

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

Polasek, Jeffrey Steven

1992-01-01T23:59:59.000Z

134

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

E-Print Network [OSTI]

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

Valle Aguilar, Jorge Luis

1984-01-01T23:59:59.000Z

135

The mineral content of water as a variable in the quality control of reconstituted non-fat dry milk products  

E-Print Network [OSTI]

LibK?ARr '< A 4 M CuLLEftE ?F TEXAf. THE MINERAL CONTENT OF WATER AS A VARIABLE IN THE QUALITY CONTROL OF RECONSTITUTED NONFAT DRY MILK PRODUCTS By JOHN 0. KAPSAUS A Dissertation Submitted to the Graduate School of the Agricultural...). This is the CO2 evolved in the milk, which has been reconstituted with the respective level of bicarbonate water, in the uninoculated tube. (E) CO2 produced from the action of the apparent milk acidity on the bicarbonate. This is the CO2 calculated from...

Kapsalis, John G.

2013-10-04T23:59:59.000Z

136

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.

137

Vicarious learning in mobile neurally controlled agents: The VMAXSON architecture. \\Lambda  

E-Print Network [OSTI]

where there are objects in the environment to be approached and avoided (called food, water, and poison). To survive, the agents need to eat the food, drink the water, and avoid the poison. V­MAXSON agents learn. As an agent's store of food and water goes down, its hunger and thirst rises. When the agent eats a poison

Crabbe, Frederick

138

E-Print Network 3.0 - automated quality control Sample Search...  

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

VOL. 30, NO. 3, MAY 2000 A Model for Types and Levels of Human Interaction Summary: -centered automation" 9 and by a previous analysis of automation in air traffic control (ATC)...

139

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

E-Print Network [OSTI]

1.3.2 Arduino Autopilot . . . . . . . . . 1.3.3 HILsafe location to loiter. Arduino Autopilot The Ardupilot isis a variation of the Arduino Mega micro controller, with a

Jackson, Stephen Phillip

2011-01-01T23:59:59.000Z

140

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

E-Print Network [OSTI]

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...

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

Note: This page contains sample records for the topic "quality control learn" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

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

E-Print Network [OSTI]

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

Simpkins, Charles Alexander

2009-01-01T23:59:59.000Z

142

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.

143

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

E-Print Network [OSTI]

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

Kirkpatrick, Kenton C.

2010-01-16T23:59:59.000Z

144

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

E-Print Network [OSTI]

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

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

2014-01-01T23:59:59.000Z

145

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

SciTech Connect (OSTI)

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

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

2005-02-01T23:59:59.000Z

146

Quality Assurance Exchange, March 2006  

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

on Performing Assessments: Auditing Tools & Techniques 1 Lessons Learned: Quality Assurance Related to Fastener Torque Requirements 2 Washington Closure Hanford Safety Software...

147

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

SciTech Connect (OSTI)

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.

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

2014-04-01T23:59:59.000Z

148

Quality Control in Fast Pyrolysis Bio-Oil Production and Use  

SciTech Connect (OSTI)

This paper will focus on norms and standards for fast pyrolysis bio-oils. It will include the present status and address what still has to be done on bio-oil specifications and relevant test methods. The paper will address industrial needs in commercialization of the fuel oil use of bio-oil, including the registration application to the REACH program and its consequences within the European Union, as well as development of a standard within ASTM. The paper will discuss the most important properties of bio-oil and the variation in these properties among various bio-oils. It will address the issue of quality follow-up in bio-oil production, including the properties to be followed and the laboratory and on-line monitoring methods. The paper will provide a state of the art of fuel oil specifications, test methods, and testing procedures as they are applied to bio-oil. It will review the effort in support of the implementation of an ASTM standard including the methods validation work.

Oasmaa, Anja; Elliott, Douglas C.; Muller, Stefan

2009-10-01T23:59:59.000Z

149

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

SciTech Connect (OSTI)

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.

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

2014-12-15T23:59:59.000Z

150

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

SciTech Connect (OSTI)

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

Samfield, M.M.

1995-12-01T23:59:59.000Z

151

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

E-Print Network [OSTI]

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

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

1998-06-08T23:59:59.000Z

152

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

SciTech Connect (OSTI)

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

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

2014-03-01T23:59:59.000Z

153

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

E-Print Network [OSTI]

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

Xie, Yuanchang

2009-05-15T23:59:59.000Z

154

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

SciTech Connect (OSTI)

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

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

2009-01-01T23:59:59.000Z

155

Quantum Learning Machine  

E-Print Network [OSTI]

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.

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

2008-03-20T23:59:59.000Z

156

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]

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

Romano, Daniela

157

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

E-Print Network [OSTI]

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

Carpenter, Jane H.

2011-01-31T23:59:59.000Z

158

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

E-Print Network [OSTI]

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

Trahanias, Panos

159

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)

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.

Ray, W. Harmon

2002-06-05T23:59:59.000Z

160

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)

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.

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

2014-10-20T23:59:59.000Z

Note: This page contains sample records for the topic "quality control learn" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Evaluation of Quality-Assurance/Quality-Control Data Collected by the U.S. Geological Survey from Wells and Springs between the Southern Boundary of the Idaho National Engineering and Environmental Laboratory and the Hagerman Area, Idaho, 1989 through 1995  

SciTech Connect (OSTI)

The U.S. Geological (USGS) and the Idaho Department of Water Resources, in cooperation with the U.S. Department of Energy, collected and analyzed water samples to monitor the water quality of the Snake River Plain aquifer from the southern boundary of the Idaho National Engineering and Environmental Laboratory to the Hagerman area, Idaho. Concurrently, replicate samples and blank samples were collected and analyzed as part of the quality-assurance/quality-control program. Samples were analyzed from inorganic constituents, gross radioactivity and radionuclides, organic constituents, and stable isotopes. To evaluate the precision of field and laboratory methods, analytical results of the water-quality and replicate samples were compared statistically for equivalence on the basis of the precision associated with each result. Statistical comparisons of the data indicated that 95 percent of the results of the replicate pairs were equivalent. Blank-sample analytical results indicated th at the inorganic blank water and volatile organic compound blank water from the USGS National Water Quality Laboratory and the distilled water from the Idaho Department of Water Resources were suitable for blanks; blank water from other sources was not. Equipment-blank analytical results were evaluated to determine if a bias had been introduced and possible sources of bias. Most equipment blanks were analyzed for trace elements and volatile organic compounds; chloroform was found in one equipment blank. Two of the equipment blanks were prepared after collection and analyses of the water-quality samples to determine whether contamination had been introduced during the sampling process. Results of one blank indicated that a hose used to divert water away from pumps and electrical equipment had contaminated the samples with some volatile organic compounds. Results of the other equipment blank, from the apparatus used to filter dissolved organic carbon samples, indicated that the filtering apparatus did not affect water-quality samples.

Williams, L.M.; Bartholomay, R.C.; Campbell, L.J.

1998-10-01T23:59:59.000Z

162

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.

163

Nanotube Quality Control NANOMATERIALS  

E-Print Network [OSTI]

on device performance and reliability. For example, the presence of residual catalyst particles can alter measure of the types of carbons present. The residual mass provides an estimate of the metal fraction of coating techniques can be used to deposit the nanotube material, including drop casting, spin coating

164

Exploring the Neural Architecture of Cultural Imitative Learning  

E-Print Network [OSTI]

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

Losin, Elizabeth Reynolds

2012-01-01T23:59:59.000Z

165

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]

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

Huddleston, Jenica

2010-01-01T23:59:59.000Z

166

Society for Quality Fellow  

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

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

167

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)

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.

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

2013-11-01T23:59:59.000Z

168

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

E-Print Network [OSTI]

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

2013-01-01T23:59:59.000Z

169

Total learning : education beyond the classroom  

E-Print Network [OSTI]

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 ...

Im, Soo O., 1972-

2002-01-01T23:59:59.000Z

170

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)

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.

Fix, N. J.

2008-01-07T23:59:59.000Z

171

Lessons Learned  

E-Print Network [OSTI]

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

DiMento, Joseph F.C.

2000-01-01T23:59:59.000Z

172

Quality engineering as a profession.  

SciTech Connect (OSTI)

Over the course of time, the profession of quality engineering has witnessed significant change, from its original emphasis on quality control and inspection to a more contemporary focus on upholding quality processes throughout the organization and its product realization activities. This paper describes the profession of quality engineering, exploring how today's quality engineers and quality professionals are certified individuals committed to upholding quality processes and principles while working with different dimensions of product development. It also discusses the future of the quality engineering profession and the future of the quality movement as a whole.

Kolb, Rachel R.; Hoover, Marcey L.

2012-12-01T23:59:59.000Z

173

Quality Assurance: Are Laboratories Assuring, Assessing, or Assuming the Quality of Clinical Testing Today?  

E-Print Network [OSTI]

Abstract: Quality assurance implies making certain, guaranteeing the attainment of quality. Do laboratories actually guarantee the quality of testing services today? If not, what is the purpose of quality assurance plans, programs, and practices? Have laboratories even defined the quality to be achieved for each test? If not, how can quality be guaranteed? Do current efforts in assessing quality provide for real-time control that will guarantee quality? If not, are laboratories just assuming that measuring quality will somehow make it happen? Even analytical quality, which is fundamental for the core production processes of any laboratory, is mainly assessed and assumed, not assured. Problems include the lack of well defined quality requirements, inadequate method performance, poorly designed statistical control procedures, misguided quality control instructions and recommendations, insufficient technical quality management skills, reduced operator skills, and delays in implementing of laboratory regulations. Quality assurance should be understood, not as a component, but as the outcome of a quality management process that includes quality planning, quality laboratory practices, quality control, quality assessment, and quality improvement, all linked together and guided by quality goals and customer requirements, and applied to the total testing process. In the future, automation and computerization will be necessary to manage the quality of centralized and distributed laboratory testing. Analytical quality will be guaranteed through on-line or on-board quality control. Other critical quality characteristics will need real-time monitors and control mechanisms to guarantee quality if process failures cannot be prevented.

James O. Westgard, Ph.D.

174

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

SciTech Connect (OSTI)

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

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

1980-05-01T23:59:59.000Z

175

Continual Learning  

Broader source: Energy.gov [DOE]

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

176

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

SciTech Connect (OSTI)

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

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

2014-02-01T23:59:59.000Z

177

Water Quality (Oklahoma)  

Broader source: Energy.gov [DOE]

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

178

Air Quality  

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

Why Air Quality Air Quality To preserve our existing wilderness-area air quality, LANL implements a conscientious program of air monitoring. April 12, 2012 Real-time data...

179

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

E-Print Network [OSTI]

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

Vasquez, Juan Carlos

180

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.

Note: This page contains sample records for the topic "quality control learn" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Office of Quality Management  

Broader source: Energy.gov [DOE]

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

182

Geiger M., Diabat L., Mnard L., Wald L., 2002. A web service for controlling the quality of measurements of global solar irradiation. Solar Energy, Vol. 73, No 6, pp. 475-480  

E-Print Network [OSTI]

sensitive sensors measure the downward solar radiation flux on a horizontal surface during a given time of measurements of global solar irradiation. Solar Energy, Vol. 73, No 6, pp. 475-480 Copyright Ecole des Mines de Paris -Armines - UFAE 1 A WEB SERVICE FOR CONTROLLING THE QUALITY OF MEASUREMENTS OF GLOBAL SOLAR

Paris-Sud XI, Université de

183

EERE Quality Control Workshop Agenda  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeat Pump Models |Conduct,Final9:Department of EnergyQC Workshop Agenda December

184

Matrix Learning in Learning Vector Quantization  

E-Print Network [OSTI]

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

Biehl, Michael

185

Quality Cost Analysis: Benefits and Risks Copyright Cem Kaner  

E-Print Network [OSTI]

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

186

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

E-Print Network [OSTI]

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

Simard, C; Rice, Ronald E

2006-01-01T23:59:59.000Z

187

E-Print Network 3.0 - air quality conformity Sample Search Results  

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

Summary: OKComponent Comments 200 Indoor Air Quality Forms Control sequence conforms to designspecifications? (describe changes... Indoor Air Quality...

188

On Linguistic Quality of Natural Language Requirements  

E-Print Network [OSTI]

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

Ruggieri, Salvatore

189

Ceramic fabricator quality revolution: A case study  

SciTech Connect (OSTI)

This case study discusses statistical process control and other quality tools in the application of continuous improvement and total quality management programs to a mature ceramic parts manufacturing operation that had been producing quality'' products for many years. By applying these tools, significant incremental improvements in process performance and product quality were achieved.

Martin, S.C. (Advanced Refractory Technologies, Inc., Buffalo, NY (United States))

1993-11-01T23:59:59.000Z

190

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

E-Print Network [OSTI]

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

Simard, C; Rice, Ronald E

2006-01-01T23:59:59.000Z

191

E-Print Network 3.0 - air quality simulation Sample Search Results  

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

Summary: Commission on Environmental Quality, Saffett Tanrikulu Bay Area Air Quality Control District, Jon Pleim- EPA... for SIPs and air quality forecasting Problem to be...

192

Neuronal Representations of Learning Sensorimotor Skills  

E-Print Network [OSTI]

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

193

Water Quality Modeling in Estuaries Lessons Learned  

E-Print Network [OSTI]

Simple still has utility · Utility of "simple" models Outline #12;Evolution of Models 1970's Modern #12 R. fall-line P loadingPotomac R. fall-line P loading Spatial variability in rainfall #12;Data Issues. Unaggregated Grid #12;Simple Still Has Utility Scavia et al. (2003) Gulf of Mexico Hypoxia Model Streeter

194

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

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

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

195

Lessons Learned at the Nevada National Security Site Implementing...  

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

& Publications Lessons Learned Implementing Work Planning & Control Integration of Safety Culture Attributes into EFCOG Work Planning and Control Guidance Document EFCOG...

196

A quality management approach to civil engineering  

E-Print Network [OSTI]

A methodology is presented for basing quality improvement decisions in civil engineering design firms upon historical data, statistical methods, and hydrologic modeling techniques. Statistical Process Control (SPC) is a quality management tool...

Baber, Thomas James

1999-01-01T23:59:59.000Z

197

Quality Assurance 8-1 8. Quality Assurance  

E-Print Network [OSTI]

The overall goal of a well-designed and well-implemented sampling and analysis program is to measure of a quality assurance/quality control (QA/QC) program for environmental monitoring activities at the ORR sampling QA program and for incorporation of new procedures to reflect chang- ing technologies

Pennycook, Steve

198

Slag pit practices to improve slag quality  

SciTech Connect (OSTI)

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.

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

1996-12-31T23:59:59.000Z

199

MACHINE LEARNING IN A DYNAMIC WORLD Panel Dmussion  

E-Print Network [OSTI]

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

Antsaklis, Panos

200

Water Quality Act (New Mexico)  

Broader source: Energy.gov [DOE]

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

Note: This page contains sample records for the topic "quality control learn" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

E-Print Network 3.0 - advanced process control Sample Search...  

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

Summary: Reinforcement Learning Based Neural Controllers for Dynamic Processes without Exploration Frank... , the controller is able to learn offline on observed training data...

202

Quality Policy  

Broader source: Energy.gov [DOE]

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

203

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...

204

Science Learning+: Phase 1 projects Science Learning+  

E-Print Network [OSTI]

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

Rambaut, Andrew

205

Quality Assurance  

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

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.

1999-09-29T23:59:59.000Z

206

Quality Assurance  

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

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.

2005-06-17T23:59:59.000Z

207

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

E-Print Network [OSTI]

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

El Zarki, Magda

208

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]

-specific form to assess health-related quality of life along with the Diabetes Family Behavior Checklist and the Family Relationship Index of the Family Environment Scale to assess family functioning. Recent Hemoglobin A1c (A1c) was obtained from the physician...

Lawrence, Kelly Ann

2011-10-21T23:59:59.000Z

209

Quality Assurance  

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

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.

2004-04-29T23:59:59.000Z

210

Regulations for Air Quality (Quebec, Canada)  

Broader source: Energy.gov [DOE]

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

211

E-Print Network 3.0 - air quality levels Sample Search Results  

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

A Breath of Fresh Air: Improving Air Summary: about unhealthful levels of air pollution. Impact Air quality forecasts and warnings for health... Learn More:...

212

Service Quality Assurance 08/08/08 INMGT 220 001  

E-Print Network [OSTI]

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

Wu, Mingshen

213

A design performance driven learning framework for conceptual design knowledge : methodology development and applications  

E-Print Network [OSTI]

This thesis develops a learning framework for automation of acquisition of bridge conceptual design knowledge. The thesis proposes a new learning methodology explicitly aimed at capturing quality design aspects to help ...

Chaiworawitkul, Sakda, 1977-

2008-01-01T23:59:59.000Z

214

Model Predictive Control for Energy Efficient Buildings  

E-Print Network [OSTI]

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

Ma, Yudong

2012-01-01T23:59:59.000Z

215

Review article Tomato fruit quality in relation  

E-Print Network [OSTI]

Review article Tomato fruit quality in relation to water and carbon fluxes Soraya GUICHARDa, Nadia in the formation of tomato fruit quality. This approach has provided new insights that help in understanding and controlling some of the major variables of fruit quality. Variations in the concentration of dry matter

Paris-Sud XI, Université de

216

Workshop on indoor air quality research needs  

SciTech Connect (OSTI)

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)

Not Available

1980-01-01T23:59:59.000Z

217

Quality Planning Handbook VERSION 1.0 November 22, 1999, 1998  

E-Print Network [OSTI]

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

218

Steam Quality  

E-Print Network [OSTI]

"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...

Johnston, W.

219

Quality Assurance  

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

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.

1981-01-16T23:59:59.000Z

220

Quality Assurance  

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

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.

1981-07-21T23:59:59.000Z

Note: This page contains sample records for the topic "quality control learn" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Occupant satisfaction with indoor environmental quality in green buildings  

E-Print Network [OSTI]

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

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

2006-01-01T23:59:59.000Z

222

Learning by learning to communicate  

E-Print Network [OSTI]

Human intelligence is a product of cooperation among many different specialists. Much of this cooperation must be learned, but we do not yet have a mechanism that explains how this might happen for the "high-level" agile ...

Beal, Jacob Stuart Michael

2007-01-01T23:59:59.000Z

223

Learning by Learning To Communicate  

E-Print Network [OSTI]

Human intelligence is a product of cooperation among many different specialists. Much of this cooperation must be learned, but we do not yet have a mechanism that explains how this might happen for the "high-level" agile ...

Beal, Jacob

2007-08-23T23:59:59.000Z

224

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)

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.

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

1980-07-01T23:59:59.000Z

225

One of John Dempsey Hospital's new quality improvement tools  

E-Print Network [OSTI]

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

Oliver, Douglas L.

226

Quality Assurance  

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

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

2001-07-12T23:59:59.000Z

227

Applying Infrared Thermography as a Quality-Control Tool for the Rapid Detection of Proton-Electrolyte-Membrane-Fuel-Cell Catalyst-Layer-Thickness Variations  

SciTech Connect (OSTI)

As fuel cells become more prominent, new manufacturing and production methods are needed to enable increased volumes with high quality. One necessary component of this industrial growth will be the accurate measurement of the variability of a wide range of material properties during the manufacturing process. In this study, a method to detect defects in fuel cell catalyst layers is investigated through experiment and mathematical simulation. The method uses infrared thermography and direct-current electronic-excitation methods to detect variations in platinum-containing catalyst-layer thickness with high spatial and temporal resolution. Data analysis, operating-condition impacts, and detection limits are explored, showing the measurement of defects on the millimeter length scale. Overall, the experimental and modeling results demonstrate great potential of this technique as a nondestructive method to measure defects that is amenable to use on roll-to-roll manufacturing lines.

Aieta, N. V.; Das, P. K.; Perdue, A.; Bender, G.; Herring, A. M.; Weber, A. Z.; Ulsh, M. J.

2012-08-01T23:59:59.000Z

228

Design Quality Criteria Design Quality Criteria  

E-Print Network [OSTI]

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 or engineering an application protocol design. We recognize that design quality must be enabled by the design

van Sinderen, Marten

229

SAPHIRE 8 Software Quality Assurance Oversight  

SciTech Connect (OSTI)

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'.

Kurt G. Vedros

2011-09-01T23:59:59.000Z

230

Learning Bicycle Stunts C. Karen Liu  

E-Print Network [OSTI]

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

Turk, Greg

231

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

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

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

232

Robotics for Learning  

E-Print Network [OSTI]

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 ...

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

2015-01-01T23:59:59.000Z

233

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)

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.

Fix, N. J.

2008-01-31T23:59:59.000Z

234

Expanded Course Description for 11:776:413 Soil Quality  

E-Print Network [OSTI]

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

Chen, Kuang-Yu

235

Designing Smart Environments: A Paradigm Based on Learning and Prediction  

E-Print Network [OSTI]

Designing Smart Environments: A Paradigm Based on Learning and Prediction Sajal K. Das and Diane J This chapter proposes a learning and prediction based paradigm for designing smart home environments control operations and tasks within the environment as well as to identify anomalies. Thus, the learning

Cook, Diane J.

236

Modeling cerebellar learning for spatial cognition Jean-Baptiste Passot  

E-Print Network [OSTI]

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

Arleo, Angelo

237

Cooperative Spectrum Sensing Using Q-Learning with Experimental Validation  

E-Print Network [OSTI]

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

Qiu, Robert Caiming

238

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

SciTech Connect (OSTI)

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

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

1992-03-01T23:59:59.000Z

239

Project Learning What are the "Lessons Learned"  

E-Print Network [OSTI]

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

Christian, Eric

240

Quality assurance in small plating shops  

SciTech Connect (OSTI)

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

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

1993-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "quality control learn" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

E-Print Network 3.0 - air quality implementation Sample Search...  

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

Commission on Environmental Quality, Saffett Tanrikulu Bay Area Air Quality Control District, Jon Pleim- EPA... for SIPs and air ... Source: Jacob, Daniel J. - School of...

242

E-Print Network 3.0 - air quality strategy Sample Search Results  

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

Commission on Environmental Quality, Saffett Tanrikulu Bay Area Air Quality Control District, Jon Pleim- EPA... for SIPs and air ... Source: Jacob, Daniel J. - School of...

243

E-Print Network 3.0 - air quality research Sample Search Results  

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

Commission on Environmental Quality, Saffett Tanrikulu Bay Area Air Quality Control District, Jon Pleim- EPA... for SIPs ... Source: Jacob, Daniel J. - School of...

244

Safeguarding indoor air quality  

SciTech Connect (OSTI)

California has created and implemented the first state program devoted exclusively to the investigation of nonindustrial indoor air quality. The program is responsible for promoting and conducting research on the determining factors of healthful indoor environments and is structured to obtain information about emission sources, ventilation effects, indoor concentrations, human activity patterns, exposures, health risks, control measures and public policy options. Data are gathered by a variety of methods, including research conducted by staff members, review of the available scientific literature, participation in technical meetings, contractual agreements with outside agencies, cooperative research projects with other groups and consultation with experts. 23 references, 1 figure, 1 table.

Sexton, K.; Wesolowski, J.J.

1985-01-01T23:59:59.000Z

245

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administrationcontroller systemsBi (2) Sr (2)ScienceScientistsONDelivered5 Figurem DFigure9Quality

246

Learning Curve  

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

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.

1997-03-28T23:59:59.000Z

247

Quality Assurance 8-1 8. Quality Assurance  

E-Print Network [OSTI]

of a well-designed and well-implemented sampling and analysis program is to measure accurately what assurance/quality control (QA/QC) program for environmental monitoring activities at the ORR is essential Martin analytical laboratories have well-established QA/QC programs, well- trained and highly qualified

Pennycook, Steve

248

Course info Machine Learning  

E-Print Network [OSTI]

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

Shi, Qinfeng "Javen"

249

RESIDENTIAL LOCATION CHOICE AND TRAVEL BEHAVIOR: IMPLICATIONS FOR AIR QUALITY  

E-Print Network [OSTI]

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

Levinson, David M.

250

Quantum Bootstrapping via Compressed Quantum Hamiltonian Learning  

E-Print Network [OSTI]

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

Nathan Wiebe; Christopher Granade; David G. Cory

2015-03-30T23:59:59.000Z

251

Waste Management Quality Assurance Plan  

SciTech Connect (OSTI)

The WMG QAP is an integral part of a management system designed to ensure that WMG activities are planned, performed, documented, and verified in a manner that assures a quality product. A quality product is one that meets all waste acceptance criteria, conforms to all permit and regulatory requirements, and is accepted at the offsite treatment, storage, and disposal facility. In addition to internal processes, this QA Plan identifies WMG processes providing oversight and assurance to line management that waste is managed according to all federal, state, and local requirements for waste generator areas. A variety of quality assurance activities are integral to managing waste. These QA functions have been identified in the relevant procedures and in subsequent sections of this plan. The WMG QAP defines the requirements of the WMG quality assurance program. These requirements are derived from Department of Energy (DOE) Order 414.1C, Quality Assurance, Contractor Requirements Document, the LBNL Operating and Assurance Program Plan (OAP), and other applicable environmental compliance documents. The QAP and all associated WMG policies and procedures are periodically reviewed and revised, as necessary, to implement corrective actions, and to reflect changes that have occurred in regulations, requirements, or practices as a result of feedback on work performed or lessons learned from other organizations. The provisions of this QAP and its implementing documents apply to quality-affecting activities performed by the WMG; WMG personnel, contractors, and vendors; and personnel from other associated LBNL organizations, except where such contractors, vendors, or organizations are governed by their own WMG-approved QA programs.

Waste Management Group

2006-08-14T23:59:59.000Z

252

PHS 650-section 052: Healthcare Quality Improvement and Evaluation for Vulnerable Populations  

E-Print Network [OSTI]

can contribute to global health system reform and realization of the Millennium Development Goals. II. Learning Objectives To understand how quality health care has been defined and implemented with vulnerable health care quality" BMJ 2004; 328: 1124-9 Bloom BS. "Crossing the quality chasm: a new health system

Sheridan, Jennifer

253

Office of Quality Assurance  

Broader source: Energy.gov [DOE]

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

254

Anderson-Cook named American Society for Quality Fellow  

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

pre-eminence in technology, theory, education, or the application or management of quality control. January 17, 2012 Christine Anderson-Cook Christine Anderson-Cook Contact...

255

Environmental Quality: Air (Louisiana)  

Broader source: Energy.gov [DOE]

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

256

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...

257

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

E-Print Network [OSTI]

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

Neirotti, Juan Pablo

258

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

E-Print Network [OSTI]

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

Wu, Mingshen

259

DOE Lessons Learned  

Broader source: Energy.gov [DOE]

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

260

Learning Transformations From Video  

E-Print Network [OSTI]

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

Wang, Ching Ming

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "quality control learn" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Transaction processing in a quality control laboratory  

SciTech Connect (OSTI)

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

Aull, J.E.

1990-01-01T23:59:59.000Z

262

Quality Control Inspector: Different Programs, Different Responosibilities  

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Careerlumens_placard-green.epsEnergy1.pdfMarket37963 Vol.Department ofchecklistpurpose of

263

Quality Control Inspector: Different Programs, Different Responsibilities |  

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Careerlumens_placard-green.epsEnergy1.pdfMarket37963 Vol.Department ofchecklistpurpose ofDepartment

264

EERE Quality Control Workshop Final Report  

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:YearRound-UpHeat Pump Models |Conduct,Final9:Department of EnergyQC Workshop Agenda

265

EERE Quality Control Workshop | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergy CooperationRequirements Matrix U.S.7685Department ofEnergy-Efficient1 |

266

Software Quality Assurance Control of Existing Systems  

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 Office of Inspector GeneralDepartment of Energyof the Americas |DOEEnergy Smooth Brome MonitoringSoftware

267

NREL Job Task Analysis: Quality Control Inspector  

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Careerlumens_placard-green.eps MoreWSRC-STI-2007-00250ThisMarsh More DocumentsNOWEGISfrom

268

Analytical laboratory quality audits  

SciTech Connect (OSTI)

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.

Kelley, William D.

2001-06-11T23:59:59.000Z

269

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

E-Print Network [OSTI]

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

Crown, Eric Daniel

2000-01-01T23:59:59.000Z

270

-Learning: A Robotics Oriented Reinforcement Learning Josep M. Porta  

E-Print Network [OSTI]

-Learning: A Robotics Oriented Reinforcement Learning Algorithm Josep M. Porta Institut de Robotica Oriented Reinforcement Learning Algorithm Josep M. Porta Institut de Robotica i Informatica Industrial (UPC

Portland State University

271

Maintaining Quality in a Decommissioning Environment  

SciTech Connect (OSTI)

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

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

2008-01-15T23:59:59.000Z

272

Quality Counts Certificate  

E-Print Network [OSTI]

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

Chilek, Kevin

2007-01-31T23:59:59.000Z

273

Wood Quality: The Effects  

E-Print Network [OSTI]

Wood Quality: The Effects of Planting Density and Thinning Eini C. Lowell PNW Research Station wood quality? By volume, characteristic, product? #12;http://jilldenton.files.wordpress.com/2007, faster #12;What is it that defines wood quality?What is it that defines wood quality? Density: earlywood

274

Track 9: Quality Assurance  

Broader source: Energy.gov [DOE]

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

275

EVALUATION OF LEACHATE QUALITY FROM PENTACHLOROPHENOL, CREOSOTE AND ACA  

E-Print Network [OSTI]

-chlorinated phenols, resin acids and f~h toxicity. A quality assurance and quality control (QA/QC) program#12;EVALUATION OF LEACHATE QUALITY FROM PENTACHLOROPHENOL, CREOSOTE AND ACA PRESERVED WOOD PRODUCTS, total organic carbon, ammonia, metals, polynuclear aromatic hydrocarbons (PAH), chlorinated and non

276

Neural Networks ensemble for quality monitoring , M. Noyel1  

E-Print Network [OSTI]

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

Boyer, Edmond

277

Air Quality: Acronym List Department: Chemical and General Safety  

E-Print Network [OSTI]

hazard analysis AQPM air quality program manager ARP accidental release prevention ATCM air toxic control Standard NESHAPs National Emissions Standards for Hazardous Air Pollutants NOx oxides of nitrogen NPOC nonAir Quality: Acronym List Department: Chemical and General Safety Program: Air Quality Owner

Wechsler, Risa H.

278

Lessons Learned | Department of Energy  

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

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

279

A Case Study on Specifying Quality Requirements Using a Quality Model  

E-Print Network [OSTI]

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

Wagner, Stefan

280

An Invitation to the National Conference on Livestock and Poultry Environmental Quality  

E-Print Network [OSTI]

An Invitation to the National Conference on Livestock and Poultry Environmental Quality A national Denver, Colorado · Grand Hyatt Hotel · April 1-5, 2013 Livestock & Poultry Environmental Learning Center

Mukhtar, Saqib

Note: This page contains sample records for the topic "quality control learn" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Soil Quality Information Sheet Rangeland Soil Quality--  

E-Print Network [OSTI]

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

282

Household Water Quality Home Water Quality Problems  

E-Print Network [OSTI]

in water heater. Scale buildup in pipes and re duced water flow. Hard water due to calcium and magnesiumHousehold Water Quality Home Water Quality Problems­ Causes and Treatments Blake Ross, Extension Many areas have water containing impurities from natural or artificial sources. These impurities may

Liskiewicz, Maciej

283

Workplace Learning & Development UMass Amherst  

E-Print Network [OSTI]

Workplace Learning & Development (WL&D) promotes employee and organizational growth, developmentWorkplace Learning & Development UMass Amherst 303 Goodell Amherst, MA 01003 Workplace Learning workshops to ALL UMass Amherst staff and faculty members. * Fall 2014 Programs Workplace Learning

Mountziaris, T. J.

284

Collaborative learning in software development  

E-Print Network [OSTI]

fields such as software process improvement, team research, organizational learning, organization scienceCollaborative learning in software development: An investigation of characteristics, prerequisites and Technology #12;[ii] Abstract Collaborative learning integrates individual and collective learning

Langseth, Helge

285

Project Learning I. What are the "Lessons Learned"  

E-Print Network [OSTI]

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

Christian, Eric

286

Lessons learned on the UMTRA Project  

SciTech Connect (OSTI)

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

Not Available

1991-02-01T23:59:59.000Z

287

Specific Learning Difficulties  

E-Print Network [OSTI]

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

Anderson, Jim

288

What is Continual Learning?  

Broader source: Energy.gov [DOE]

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

289

Learning From Snapshot Examples  

E-Print Network [OSTI]

Examples are a powerful tool for teaching both humans and computers.In order to learn from examples, however, a student must first extractthe examples from its stream of perception. Snapshot learning is ageneral approach ...

Beal, Jacob

2005-04-13T23:59:59.000Z

290

Machine LearningMachine Learning Stephen Scott  

E-Print Network [OSTI]

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

Scott, Stephen D.

291

General Water Quality (Oklahoma)  

Broader source: Energy.gov [DOE]

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

292

State Water Quality (Virginia)  

Broader source: Energy.gov [DOE]

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

293

Downhole steam quality measurement  

DOE Patents [OSTI]

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.

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

1987-01-01T23:59:59.000Z

294

SUNY Programs: Experiential Learning  

E-Print Network [OSTI]

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

Suzuki, Masatsugu

295

Learning and risk aversion  

E-Print Network [OSTI]

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...

Oyarzun, Carlos

2009-06-02T23:59:59.000Z

296

Getting their feet wet: Young water researchers learn the ropes, thanks to grants  

E-Print Network [OSTI]

hydrology. The 2010?2011 grant recipients are examining such topics as the biological treatment of wastewater contaminated with estrogenic compounds and the effect of photovoltaic nanoma- terial roofing on harvested rainwater quality. To learn more...

Lee, Leslie

2011-01-01T23:59:59.000Z

297

Getting their feet wet: Young water researchers learn the ropes, thanks to grants  

E-Print Network [OSTI]

hydrology. The 2010?2011 grant recipients are examining such topics as the biological treatment of wastewater contaminated with estrogenic compounds and the effect of photovoltaic nanoma- terial roofing on harvested rainwater quality. To learn more...

Lee, Leslie

2010-01-01T23:59:59.000Z

298

An Economic Impact Analysis of DC Drinking Water Quality  

E-Print Network [OSTI]

An Economic Impact Analysis of DC Drinking Water Quality Annual Progress Report for FY 2005 In January 2004, District of Columbia residents learned the drinking water supplied by the D.C. Water immediately responded by forming the Interagency Task Force on Lead in Drinking Water (The Task Force

District of Columbia, University of the

299

Quality assurance for gamma knives  

SciTech Connect (OSTI)

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

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

1995-09-01T23:59:59.000Z

300

Waste Management Quality Assurance Plan  

E-Print Network [OSTI]

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

Waste Management Group

2006-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "quality control learn" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Weighted control systems  

E-Print Network [OSTI]

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

Al-Radhi, Adhi Omar

1974-01-01T23:59:59.000Z

302

Apparatus and method for combusting low quality fuel  

DOE Patents [OSTI]

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.

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

2003-11-04T23:59:59.000Z

303

Quality Assessment in Oncology  

SciTech Connect (OSTI)

The movement to improve healthcare quality has led to a need for carefully designed quality indicators that accurately reflect the quality of care. Many different measures have been proposed and continue to be developed by governmental agencies and accrediting bodies. However, given the inherent differences in the delivery of care among medical specialties, the same indicators will not be valid across all of them. Specifically, oncology is a field in which it can be difficult to develop quality indicators, because the effectiveness of an oncologic intervention is often not immediately apparent, and the multidisciplinary nature of the field necessarily involves many different specialties. Existing and emerging comparative effectiveness data are helping to guide evidence-based practice, and the increasing availability of these data provides the opportunity to identify key structure and process measures that predict for quality outcomes. The increasing emphasis on quality and efficiency will continue to compel the medical profession to identify appropriate quality measures to facilitate quality improvement efforts and to guide accreditation, credentialing, and reimbursement. Given the wide-reaching implications of quality metrics, it is essential that they be developed and implemented with scientific rigor. The aims of the present report were to review the current state of quality assessment in oncology, identify existing indicators with the best evidence to support their implementation, and propose a framework for identifying and refining measures most indicative of true quality in oncologic care.

Albert, Jeffrey M. [Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Das, Prajnan, E-mail: prajdas@mdanderson.org [Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas (United States)

2012-07-01T23:59:59.000Z

304

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

E-Print Network [OSTI]

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

Sklar, Elizabeth

305

Protocol for secure quantum machine learning at a distant place  

E-Print Network [OSTI]

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.

Jeongho Bang; Seung-Woo Lee; Hyunseok Jeong

2015-04-20T23:59:59.000Z

306

USHER: Improving Data Quality with Dynamic Forms  

E-Print Network [OSTI]

Abstract — Data quality is a critical problem in modern databases. Data entry forms present the first and arguably best opportunity for detecting and mitigating errors, but there has been little research into automatic methods for improving data quality at entry time. In this paper, we propose USHER, an endto-end system for form design, entry, and data quality assurance. Using previous form submissions, USHER learns a probabilistic model over the questions of the form. USHER then applies this model at every step of the data entry process to improve data quality. Before entry, it induces a form layout that captures the most important data values of a form instance as quickly as possible. During entry, it dynamically adapts the form to the values being entered, and enables real-time feedback to guide the data enterer toward their intended values. After entry, it re-asks questions that it deems likely to have been entered incorrectly. We evaluate all three components of USHER using two real-world data sets. Our results demonstrate that each component has the potential to improve data quality considerably, at a reduced cost when compared to current practice. I.

Kuang Chen; Harr Chen; Neil Conway; Joseph M. Hellerstein; Tapan S. Parikh

307

Improvement of Drinking Water Quality in Developing Countries: Microbial and Geogenic Contamination  

E-Print Network [OSTI]

Improvement of Drinking Water Quality in Developing Countries: Microbial and Geogenic Contamination for chemical and micro- biological treatment of drinking water at the household scale. The course will cover in developing and emerging coun- tries, who wish to learn more about household drinking water quality

Wehrli, Bernhard

308

Statistical Learning Theory of Protein Dynamics  

E-Print Network [OSTI]

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

Haas, Kevin

2013-01-01T23:59:59.000Z

309

Control Categories Control Category  

E-Print Network [OSTI]

/ Conversion Controls Controls over moving data between computer systems. Process used to migrate data fromControl Categories Control Category Legend Description Example Authorization Approval policies and procedures. Authorization limits. Configuration/ Account Mapping "Switches" to secure data

310

Quality assurance and data management  

SciTech Connect (OSTI)

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

Lockrem, L.L.

1998-01-12T23:59:59.000Z

311

Downhole steam quality measurement  

DOE Patents [OSTI]

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.

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

1985-06-19T23:59:59.000Z

312

Control Systems & LEED  

SciTech Connect (OSTI)

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

Cooperman, Alissa; Dieckmann, John; Brodrick, James

2012-06-01T23:59:59.000Z

313

Neuromuscular modularity and behavioral correlates of motor control  

E-Print Network [OSTI]

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 ...

Overduin, Simon Alexander

2006-01-01T23:59:59.000Z

314

Signatures for Mass Spectrometry Data Quality  

SciTech Connect (OSTI)

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

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.

2014-03-10T23:59:59.000Z

315

Louisiana Hazardous Waste Control Law (Louisiana)  

Broader source: Energy.gov [DOE]

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

316

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

317

Designing for Learning: Multiplayer Digital Game Learning Environments  

E-Print Network [OSTI]

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

Kim, Chung

2010-01-01T23:59:59.000Z

318

Optimum Control Limits for Employing Statistical Process Control in Software Process  

E-Print Network [OSTI]

control (SPC), control charts, inspections/ reviews, software quality control. ĂŠ 1 INTRODUCTION A process, Senior Member, IEEE, and Ashish Saxena Abstract--There is an increased interest in using control charts. In a control chart, control limits are established for some attributes and, if any point falls outside

Jalote, Pankaj

319

Fluidization quality analyzer for fluidized beds  

DOE Patents [OSTI]

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.

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

1995-01-01T23:59:59.000Z

320

Air Quality Standards & ATOC/CHEM 5151  

E-Print Network [OSTI]

1 Lecture 22 Air Quality Standards & Control ATOC/CHEM 5151 #12;2 Primary Pollutants Things to reduce air pollution emissions ­ Latest version ­ 1990 (original, 1963) ­ What is an "air pollutant that are directly emitted Nitrogen Oxides (NOx) Hydrocarbons (VOCs) Carbon Monoxide (CO) #12;3 Secondary Pollutants

Toohey, Darin W.

Note: This page contains sample records for the topic "quality control learn" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Air Quality Chapter Outline  

E-Print Network [OSTI]

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

Wechsler, Risa H.

322

GPA CALCULATION GPA = QUALITY POINTS DIVIDED BY QUALITY HOURS  

E-Print Network [OSTI]

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

Lawrence, Rick L.

323

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

SciTech Connect (OSTI)

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.

LOCKREM, L.L.

1999-05-20T23:59:59.000Z

324

Integrated Biological Control  

SciTech Connect (OSTI)

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.

JOHNSON, A.R.

2003-10-09T23:59:59.000Z

325

Integrated Biological Control  

SciTech Connect (OSTI)

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 (apriori) or in response to existing contamination spread (aposteriori). Surveillance activities, including ground, vegetation, flying insect, and other surveys, and apriori 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, aposteriori 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.

JOHNSON, A.R.

2002-09-01T23:59:59.000Z

326

Embedding Learning Strategies into the Curriculum  

E-Print Network [OSTI]

, and evaluation #12;Learning About Learning #12;Learning About Learning Highlight organizational skillsEmbedding Learning Strategies into the Curriculum VI VI AN FA YOWSKI BRENDA KOLLER Academic Success Centre UNBC CTLT Brown Bag Lunch October 23, 2013 #12;Learning About Learning Why embed learning

Northern British Columbia, University of

327

Treat Teaching as Learned Profession  

E-Print Network [OSTI]

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

Helen Duffy

2004-01-01T23:59:59.000Z

328

Cycle Track Lessons Learned  

E-Print Network [OSTI]

Cycle Track Lessons Learned #12;Presentation Overview · Bicycling trends · Cycle track lessons learned · What is a "Cycle track"? · Essential design elements of cycle tracks Separation Width Crossing driveways & low-volume streets Signalized intersections #12;Trend in kilometers cycled per year

Bertini, Robert L.

329

The Learning Environment  

E-Print Network [OSTI]

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

Howard, Jeff W.

2005-05-10T23:59:59.000Z

330

Residential Learning University Housing  

E-Print Network [OSTI]

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

Rusu, Adrian

331

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

E-Print Network [OSTI]

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

Lake, Brenden M

2014-01-01T23:59:59.000Z

332

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

E-Print Network [OSTI]

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

333

Occupant satisfaction with indoor environmental quality in green buildings  

E-Print Network [OSTI]

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

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

2006-01-01T23:59:59.000Z

334

Master Pump Shutdown MPS Software Quality Assurance Plan (SQAP)  

SciTech Connect (OSTI)

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

BEVINS, R.R.

2000-09-20T23:59:59.000Z

335

Software quality assurance handbook  

SciTech Connect (OSTI)

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

Not Available

1990-09-01T23:59:59.000Z

336

Can doxastic agents learn? On the temporal structure of learning  

E-Print Network [OSTI]

, modifying the informativeness of the incoming data and changing the conditions of success of the learning

Amsterdam, University of

337

e-Learning Seoul National University e-Teaching & Learning  

E-Print Network [OSTI]

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

Bahk, Saewoong

338

A Collaborative Learning Design Environment to Integrate Practice and Learning  

E-Print Network [OSTI]

to integrate organizational activities to solve practical problem with intel lect of type A, and learningA Collaborative Learning Design Environment to Integrate Practice and Learning based@jaist.ac.jp Abstract. The integration of practice and learning is a key to cultivation of or ganizational capability

Mizoguchi, Riichiro

339

New Hampshire 4-H Serving to Learn, Learning to Serve  

E-Print Network [OSTI]

New Hampshire 4-H Serving to Learn, Learning to Serve Community Service by 4-H Project Area Development #12;New Hampshire 4-H Community Service by Project Area Serving to Learn, Learning to Serve that their service also relate to that project. This publication contains suggested service projects related

New Hampshire, University of

340

Case{based Meta Learning: Sustained Learning supported by  

E-Print Network [OSTI]

Case{based Meta Learning: Sustained Learning supported by a Dynamically Biased Version Space Jacky{recognized that in practical in- ductive learning systems the search for a concept must be heavily biased. In addi- tion is sustained learn- ing, allowing transfer from known tasks to new ones. Previous work on dynamic bias has

Baltes, Jacky

Note: This page contains sample records for the topic "quality control learn" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

ALFA Detector Control System  

E-Print Network [OSTI]

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

Oleiro Seabra, Luis Filipe; The ATLAS collaboration

2015-01-01T23:59:59.000Z

342

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

E-Print Network [OSTI]

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

Daraio, Chiara

343

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

E-Print Network [OSTI]

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

Pitt, Robert E.

344

Geothermal steam quality testing  

SciTech Connect (OSTI)

Geothermal steam quality and purity have a significant effect on the operational efficiency and life of geothermal steam turbines and accessory equipment. Poor steam processing can result in scaled nozzles/blades, erosion, corrosion, reduced utilization efficiency, and early fatigue failures accelerated by stress corrosion cracking (SCC). Upsets formed by undetected slugs of liquid entering the turbine can cause catastrophic failure. The accurate monitoring and determination of geothermal steam quality/purity is intrinsically complex which often results in substantial errors. This paper will review steam quality and purity relationships, address some of the errors, complexities, calibration and focus on: thermodynamic techniques for evaluating and monitoring steam quality by use of the modified throttling calorimeters.

Jung, D.B. [Two-Phase Engineering & Research, Inc., Santa Rosa, CA (United States)

1995-12-31T23:59:59.000Z

345

Quality Jobs Program (Louisiana)  

Broader source: Energy.gov [DOE]

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

346

Power Quality Implications  

E-Print Network [OSTI]

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...

Hilson, D.

347

Hydrogen Fuel Quality (Presentation)  

SciTech Connect (OSTI)

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

Ohi, J.

2007-05-17T23:59:59.000Z

348

Evaluating Cotton Seed Quality  

E-Print Network [OSTI]

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

Boman, Randy

2005-10-05T23:59:59.000Z

349

Software Quality Assurance  

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

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.

2000-10-02T23:59:59.000Z

350

Software Quality Assurance  

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

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.

2000-10-02T23:59:59.000Z

351

Total Quality Management To Library And Information Services In Indian Open Universities  

E-Print Network [OSTI]

Today, all kinds of organizations are becoming customer oriented organizations to survive in this world. So, they need to provide quality products and services to their customers. Total Quality Management (TQM), provides the tools and the direction to improve quality. Libraries have always been committed to provide a high quality of services to its users. In this paper I am discussing Objectives in libraries, Quality Control, Quality Assurance systems in distance education, Quality component of Library services, TQM in LIS sector, TQM in distance education libraries, Policies, Resources, Processes, User satisfaction, Suggestions for services distance education.

Kirti Singh

352

Marketing Quality Energy Awareness  

E-Print Network [OSTI]

employee participation that improved energy efficiency 15%. The plan was successfully introduced on a test basis in two manufacturing locations and now is a part of overall operations. The marketing concepts aided in determining who was the customer...MARKETING QUALITY ENERGY AWARENESS LONITA J. FORTIER Engineering Technologist 3M Company Saint Paul, Minnesota ABSTRACT Marketing and quality concepts were utilized in developing an employee awareness plan to facilitate long term...

Fortier, L. J.

353

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

E-Print Network [OSTI]

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

Levine, David I.; Toffel, Michael W.

2008-01-01T23:59:59.000Z

354

Time series association learning  

DOE Patents [OSTI]

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.

Papcun, George J. (Santa Fe, NM)

1995-01-01T23:59:59.000Z

355

UAV Cooperative Control with Stochastic Risk Models  

E-Print Network [OSTI]

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 ...

Geramifard, Alborz

356

E-Print Network 3.0 - awwa water quality Sample Search Results  

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

Relevant Coursework: Principles of Environmental Chemistry Water and Wastewater Treatment... EPA quality control mandates Worked with Operations department to help achieve...

357

Potential Effects of Organic Carbon Production on Ecosystems and Drinking Water Quality  

E-Print Network [OSTI]

National Primary Drinking Water Regulations, disinfectantsand implications for drinking water quality and the Deltaand control in drinking water. American Chemical Society,

Brown, Larry R.

2003-01-01T23:59:59.000Z

358

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.

359

Surface Water Quality Standards (Nebraska)  

Broader source: Energy.gov [DOE]

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

360

Water Quality Standards Implementation (Oklahoma)  

Broader source: Energy.gov [DOE]

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

Note: This page contains sample records for the topic "quality control learn" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Quality Jobs Investment Program (Oklahoma)  

Broader source: Energy.gov [DOE]

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

362

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,...

363

Water Quality Trading Program (Ohio)  

Broader source: Energy.gov [DOE]

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

364

Ambient Air Quality Standards (Iowa)  

Broader source: Energy.gov [DOE]

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

365

Broadleaf Timber Quality Dr Jason Hubert  

E-Print Network [OSTI]

Quality The link between flushing and quality in ash #12;29 April 20088 Broadleaf Timber Quality Romanian

366

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

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

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

367

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

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

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

368

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...

369

Design and Certification of Industrial Predictive Controllers  

E-Print Network [OSTI]

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

Dutta, Abhishek

2014-09-24T23:59:59.000Z

370

School of Health and Social Work Rules of Procedure and Proceedings with respect to a Student's Complaint regarding the Quality  

E-Print Network [OSTI]

/or the Associate Dean of School, Academic Quality Assurance (Practice Enhancement). 1.4 Students who are employedSchool of Health and Social Work Rules of Procedure and Proceedings with respect to a Student's Complaint regarding the Quality of the Learning Experience on Practice and Work Placements Version : 01

Kaye, Paul

371

Neural daylight control system  

E-Print Network [OSTI]

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

Grif, Horatiu Stefan

2010-01-01T23:59:59.000Z

372

Robot learning [TC Spotlight  

E-Print Network [OSTI]

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 ...

Tedrake, Russell Louis

373

Experiments in service learning  

E-Print Network [OSTI]

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 ...

Banzaert, Amy, 1976-

2006-01-01T23:59:59.000Z

374

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...

375

Observational learning in horses  

E-Print Network [OSTI]

OBSERVATIONAL LEARNING IN HORSES A Thesis by KATHERINE LOUISE BAER Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE May 1979 Major Subject: Animal... Science OBSERVATIONAL LEARNING IN HORSES A Thesis by KATHERINE LOUISE BAER Approved as to style and content by: L7 . 5+~ (Chairma of . C mmittee) ) c r (Mem ) YiNicc CJ ~- (Membeh) (Head of Department May 1979 ABSTRACT Observational...

Baer, Katherine Louise

1979-01-01T23:59:59.000Z

376

Learning Innate Face Preferences  

E-Print Network [OSTI]

Newborn humans preferentially orient to face-like patterns at birth, but months of experience with faces is required for full face processing abilities to develop. Several models have been proposed for how the interaction of genetic and evironmental influences can explain this data. These models generally assume that the brain areas responsible for newborn orienting responses are not capable of learning and are physically separate from those that later learn from real faces. However, it has been difficult to reconcile these models with recent discoveries of face learning in newborns and young infants. We propose a general mechanism by which genetically specified and environmentdriven preferences can coexist in the same visual areas. In particular, newborn face orienting may be the result of prenatal exposure of a learning system to internally generated input patterns, such as those found in PGO waves during REM sleep. Simulating this process with the HLISSOM biological model of the visual system, we demonstrate that the combination of learning and internal patterns is an efficient way to specify and develop circuitry for face perception. This prenatal learning can account for the newborn preferences for schematic and photographic images of faces, providing a computational explanation for how genetic influences interact with experience to construct a complex adaptive system.

2003-01-01T23:59:59.000Z

377

Sharing Lessons Learned  

SciTech Connect (OSTI)

Workplace safety is inextricably tied to the culture – the leadership, management and organization – of the entire company. Nor is a safety lesson fundamentally different from any other business lesson. With these points in mind, Pacific Northwest National Laboratory recast its lessons learned program in 2000. The laboratory retained elements of a traditional lessons learned program, such as tracking and trending safety metrics, and added a best practices element to increase staff involvement in creating a safer, healthier work environment. Today, the Lessons Learned/Best Practices program offers the latest business thinking summarized from current external publications and shares better ways PNNL staff have discovered for doing things. According to PNNL strategic planning director Marilyn Quadrel, the goal is to sharpen the business acumen, project management ability and leadership skills of all staff and to capture the benefits of practices that emerge from lessons learned. A key tool in the PNNL effort to accelerate learning from past mistakes is one that can be easily implemented by other firms and tailored to their specific needs. It is the weekly placement of Lessons Learned/Best Practices articles in the lab’s internal electronic newsletter. The program is equally applicable in highly regulated environments, such as the national laboratories, and in enterprises that may have fewer external requirements imposed on their operations. And it is cost effective, using less than the equivalent of one fulltime person to administer.

Mohler, Bryan L.

2004-09-01T23:59:59.000Z

378

The Quality Assurance Manual and EPA`s acid rain data quality  

SciTech Connect (OSTI)

November 15, 1990 saw the passage of the Clean Air Act Amendments of 1990. Within this law was the requirements for all electric utility units greater than 25 megawatts of generated electrical capacity to monitor SO{sub 2}, NO{sub x}, CO{sub 2}, opacity, and volumetric flow of the stack gases. This paper summarizes the Acid Rain Program`s approach to Continuous Emissions Monitoring Systems (CEMS) Quality Control and Quality Assurance requirements and their use in the market based pollution control program of Title IV of the Clean Air Act Amendments of 1990. This paper attempts to present the perspective of the authors as to what is important for excellent monitoring system availability and ensuring accurate data acquisition. Emphasis is placed upon the Quality Assurance Manual required by the Acid Rain Regulations for affected unit`s to maintain and follow.

Bloomer, B.J. [EPA, Washington, DC (United States). Acid Rain Div.; Winkler, J.P. [EPA, Dallas, TX (United States)

1995-12-31T23:59:59.000Z

379

Chemical analysis quality assurance at the ICPP  

SciTech Connect (OSTI)

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.

Hand, R.L.

1990-01-01T23:59:59.000Z

380

Chemical analysis quality assurance at the ICPP  

SciTech Connect (OSTI)

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.

Hand, R.L.

1990-12-31T23:59:59.000Z

Note: This page contains sample records for the topic "quality control learn" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

The German quality system for waste repositories  

SciTech Connect (OSTI)

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

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

1993-12-31T23:59:59.000Z

382

How Selective is Social Learning in Dolphins?  

E-Print Network [OSTI]

L. (2007). Social learning and innovation are positivelyor experiences), innovation, and social learning. Bouchard,2003). Social learning: Promoter or inhibitor of innovation?

Kuczaj II, Stan A.; Yeater, Deirdre; Highfill, Lauren

2012-01-01T23:59:59.000Z

383

LESSONS LEARNED AND BEST PRACTICES PROGRAM MANUAL  

E-Print Network [OSTI]

Experience Program. LESSONS LEARNED AND BEST PRACTICESUpon receipt of a Lessons Learned/Best Practices Feedbackreview disseminated Lessons Learned/Best Practices Briefings

Gravois, Melanie C.

2007-01-01T23:59:59.000Z

384

Job quality in Europe  

E-Print Network [OSTI]

flexibility—can also lead to enhanced job quality (Bredgaard and Larsen, 2006; CEC, 2007b), for example, in the form of autonomy and job enlargement. So far, it is only in Finland and Sweden that the Commission finds evidence of such quality workplaces being... . The response rates was 0.48 with most countries, recording rates close to this average, although eight countries—Belgium, Finland, Luxembourg, the Netherlands, Poland, Slovenia, Switzerland and the UK—recorded rates below 0.4 (Parent-Thirion et al., 2007: 95...

Burchell, Brendan J.; Smith, Mark; Fagan, Colette; O’Brien, Catherine

2008-01-01T23:59:59.000Z

385

A knowledge-based supervisory control system for a flexible manufacturing system  

E-Print Network [OSTI]

on top of a relational database management system (DBMS). BB1 [22] implements a domain-independent "blackboard control architecture" for AI systems that control, explain, and learn about their own problem-solving behavior. The blackboard control...

Hwang, Jyh-Chen

1986-01-01T23:59:59.000Z

386

Air quality during the 2008 Beijing Olympics: secondary pollutants and regional impact  

E-Print Network [OSTI]

secondary air pollutants after the drastic control measuresair quality and meteorology and different responses of secondary and primary pollutants to the controlair qual- ity. The increasing concentrations of secondary pollutants after the full control

2010-01-01T23:59:59.000Z

387

222-S Laboratory Quality Assurance Plan. Revision 1  

SciTech Connect (OSTI)

This Quality Assurance Plan provides,quality assurance (QA) guidance, regulatory QA requirements (e.g., 10 CFR 830.120), and quality control (QC) specifications for analytical service. This document follows the U.S Department of Energy (DOE) issued Hanford Analytical Services Quality Assurance Plan (HASQAP). In addition, this document meets the objectives of the Quality Assurance Program provided in the WHC-CM-4-2, Section 2.1. Quality assurance elements required in the Guidelines and Specifications for Preparing Quality Assurance Program Plans (QAMS-004) and Interim Guidelines and Specifications for Preparing Quality Assurance Project Plans (QAMS-005) from the US Environmental Protection Agency (EPA) are covered throughout this document. A quality assurance index is provided in the Appendix A. This document also provides and/or identifies the procedural information that governs laboratory operations. The personnel of the 222-S Laboratory and the Standards Laboratory including managers, analysts, QA/QC staff, auditors, and support staff shall use this document as guidance and instructions for their operational and quality assurance activities. Other organizations that conduct activities described in this document for the 222-S Laboratory shall follow this QA/QC document.

Meznarich, H.K.

1995-07-31T23:59:59.000Z

388

Equivalence in Ventilation and Indoor Air Quality  

SciTech Connect (OSTI)

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.

Sherman, Max; Walker, Iain; Logue, Jennifer

2011-08-01T23:59:59.000Z

389

Quality Assurance Program Guide  

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

This Guide provides information on principles, requirements, and practices used to establish and implement an effective Quality Assurance Program. Cancels DOE G 414.1-2A, DOE G 414.1-3 and DOE G 414.4-5. Admin Chg 1, dated 9-27-11. Admin Chg 2, dated 5-8-13.

2011-08-16T23:59:59.000Z

390

Quality Assurance Program Guide  

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

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.

2011-08-16T23:59:59.000Z

391

Quality Assurance Program Guide  

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

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.

2011-08-16T23:59:59.000Z

392

Quality Counts Exhibitor Card  

E-Print Network [OSTI]

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...

Chilek, Kevin; Gregory, Elizabeth

2004-01-27T23:59:59.000Z

393

RUNWAY OPERATIONAL QUALITY ASSURANCE  

E-Print Network [OSTI]

RUNWAY OPERATIONAL QUALITY ASSURANCE MELANIE BAKER, DARIC MEGERSA & ALFONSO PANLILIO Sponsors: Dr Vortex Separation Rule, for a homogeneous fleet mix, is determined by the time between arriving aircraft Occupancy (SRO) rule, for a non- homogeneous fleet mix, MTC= 3600/ [ROT] [ROT]= = i (pi *ROTi) ROT (in sec

394

Semi-Supervised Learning Adaptive Computation and Machine Learning  

E-Print Network [OSTI]

, Brendan J. Frey Learning in Graphical Models, Michael I. Jordan Causation, Prediction, and Search, second Kandola John Lafferty Zoubin Ghahramani Many graph-based semi-supervised learning methods can be viewed

Lafferty, John

395

STRUCTURAL CHANGE AND LEARNING WITHIN ORGANIZATIONS  

E-Print Network [OSTI]

Change and Learning Within Organizations". In Dynamics of organizational societies : Models, theories to organizational learning. This approach defines learning, culture, structure and behavior at the individual and organizational level. When organizations, as synthetic agents learn important organizational behaviors emerge

Sadeh, Norman M.

396

New Hampshire 4-H Serving to Learn, Learning to Serve  

E-Print Network [OSTI]

New Hampshire 4-H Serving to Learn, Learning to Serve Community Service Projects All good community for learning. This publication contains a list of suggested service projects and ideas for expanding the system works. Mindy Turner, New Mexico 4-H Youth Development Specialist November 2006 #12;New Hampshire 4

New Hampshire, University of

397

: Abduction, Learning. A System for Learning Abductive Logic  

E-Print Network [OSTI]

f g Keywords Abstract : Abduction, Learning. 1 A System for Learning Abductive Logic Programs Ferrara, Italy We present the system LAP for learning abductive logic programs from examples and from a background abductive theory. A new type of induction problem has been defined as an extension

Dix, Juergen

398

Assessing the soil quality of long-term reclaimed wastewater-irrigated cropland  

E-Print Network [OSTI]

of the fields. Soil quality of the treated and control fields were compared using the principal components identified in this process. Results indicated that the soil quality might be evaluated by comparing the total), and zinc (Zn) of soils in the control and the treated fields. Except for the total porosity and Mg

Wang, Zhi "Luke"

399

ENERGY IMPACTS OF ENERGY AND INDOOR ENVIRONMENTAL QUALITY RETROFITS OF APARTMENTS IN CALIFORNIA  

E-Print Network [OSTI]

with simultaneous energy savings and indoor environmental quality (IEQ) improvements as the goal. The control apartments to energy use changes of control apartments, total measured savings of gas energy plus site1 ENERGY IMPACTS OF ENERGY AND INDOOR ENVIRONMENTAL QUALITY RETROFITS OF APARTMENTS IN CALIFORNIA

400

Promoting system-level learning from project-level lessons  

SciTech Connect (OSTI)

A growing number of low and middle income nations (LMCs) have adopted some sort of system for environmental impact assessment (EIA). However, generally many of these EIA systems are characterised by a low performance in terms of timely information dissemination, monitoring and enforcement after licencing. Donor actors (such as the World Bank) have attempted to contribute to a higher performance of EIA systems in LMCs by intervening at two levels: the project level (e.g. by providing scoping advice or EIS quality review) and the system level (e.g. by advising on EIA legislation or by capacity building). The aims of these interventions are environmental protection in concrete cases and enforcing the institutionalisation of environmental protection, respectively. Learning by actors involved is an important condition for realising these aims. A relatively underexplored form of learning concerns learning at EIA system-level via project level donor interventions. This 'indirect' learning potentially results in system changes that better fit the specific context(s) and hence contribute to higher performances. Our exploratory research in Ghana and the Maldives shows that thus far, 'indirect' learning only occurs incidentally and that donors play a modest role in promoting it. Barriers to indirect learning are related to the institutional context rather than to individual characteristics. Moreover, 'indirect' learning seems to flourish best in large projects where donors achieved a position of influence that they can use to evoke reflection upon system malfunctions. In order to enhance learning at all levels donors should thereby present the outcomes of the intervention elaborately (i.e. discuss the outcomes with a large audience), include practical suggestions about post-EIS activities such as monitoring procedures and enforcement options and stimulate the use of their advisory reports to generate organisational memory and ensure a better information dissemination.

Jong, Amos A. de, E-mail: amosdejong@gmail.com [Innovation Management, Utrecht (Netherlands); Runhaar, Hens A.C., E-mail: h.a.c.runhaar@uu.nl [Section of Environmental Governance, Utrecht University, Utrecht (Netherlands); Runhaar, Piety R., E-mail: piety.runhaar@wur.nl [Organisational Psychology and Human Resource Development, University of Twente, Enschede (Netherlands); Kolhoff, Arend J., E-mail: Akolhoff@eia.nl [The Netherlands Commission for Environmental Assessment, Utrecht (Netherlands); Driessen, Peter P.J., E-mail: p.driessen@geo.uu.nl [Department of Innovation and Environment Sciences, Utrecht University, Utrecht (Netherlands)

2012-02-15T23:59:59.000Z

Note: This page contains sample records for the topic "quality control learn" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Lessons learned on the UMTRA Project. Special study  

SciTech Connect (OSTI)

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

Not Available

1991-02-01T23:59:59.000Z

402

The Alameda Corridor: Lessons Learned  

E-Print Network [OSTI]

The Alameda Corridor: Lessons Learned Plus Past and Future Challenges Presented to: Portland State Corridor **Trucked around Corridor but leaves or enters Southern California by rail. #12;Lessons Learned

Bertini, Robert L.

403

Transactions of the Institute of Measurement and Control 25,1 (2003) pp. 3656 Pre-emptive control of moisture  

E-Print Network [OSTI]

to improve quality and reduce cost is high. The two key quality measures in paper manufacturing are: (1 on this measurement, steam pressures in the thermal dryer cans are adjusted via a variety of possible controlTransactions of the Institute of Measurement and Control 25,1 (2003) pp. 36­56 Pre-emptive control

Li, Perry Y.

404

Hydrogen Fuel Quality  

SciTech Connect (OSTI)

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.

Rockward, Tommy [Los Alamos National Laboratory

2012-07-16T23:59:59.000Z

405

Hybrid Machine Learning Princeton University  

E-Print Network [OSTI]

: Learn an apprentice policy !A such that V(!A) # V(!E) where the value function V(!) is unknown. Expert policy !E Apprentice policy !A Learning algorithm #12;Apprenticeship Learning !! Our contribution: New apprentice policy than existing algorithms. #12;Assumptions !! Definition: Let ”(!) be the feature vector

Mohri, Mehryar

406

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

407

Improving Stormwater Quality  

E-Print Network [OSTI]

of water resources. Stormwater, when produced by rain or snowmelt flowing over the land, captures debris, chemicals, hazardous wastes, and/or sediment. These contaminants then make their way to drainage systems that flow directly into rivers, lakes..., wetlands, or bays. The polluted stormwa- ter runoff can affect the health of plants, fish, animals, and people, as well as reduce the recreational value of water resources. Urbanization also has a major impact on the quality of local streams because...

Garcia, Raul

2005-01-01T23:59:59.000Z

408

Ethers help gasoline quality  

SciTech Connect (OSTI)

In this article three scenarios to evaluate the effect of etherification on gasoline production and quality are reviewed: Base case FCC/C{sub 4} alkylation complex - FCC unit operation for maximum gasoline yield, MTBE unit added to base case FCC unit operation and MTBE unit added to maximum olefins FCC unit operation. Details of the FCC, MTBE and C{sub 4} alkylation operations used in this article are reviewed, followed by a discussion of overall results.

Chang, E.J.; Leiby, S.M. (SRI International, Menlo Park, CA (US))

1992-02-01T23:59:59.000Z

409

Learning from experience  

E-Print Network [OSTI]

Leah acoustic quality in the green buildings. Zagreus, SaharAir 2004; 14 of 21 green buildings, 15 of which were ponentdesigned or built a green building, haps the most persuasive

Brager, Gail

2007-01-01T23:59:59.000Z

410

Control of household refrigerators. Part 1: Modeling temperature control performance  

SciTech Connect (OSTI)

Commercial household refrigerators use simple, cost-effective, temperature controllers to obtain acceptable control. A manually adjusted airflow damper regulates the freezer compartment temperature while a thermostat controls operation of the compressor and evaporator fan to regulate refrigerator compartment temperature. Dual compartment temperature control can be achieved with automatic airflow dampers that function independently of the compressor and evaporator fan thermostat, resulting in improved temperature control quality and energy consumption. Under dual control, freezer temperature is controlled by the thermostat while the damper controls refrigerator temperature by regulating airflow circulation. A simulation model is presented that analyzes a household refrigerator configured with a conventional thermostat and both manual and automatic dampers. The model provides a new paradigm for investigating refrigerator systems and temperature control performance relative to the extensive verification testing that is typically done by manufacturers. The effects of each type of control and damper configuration are compared with respect to energy usage, control quality, and ambient temperature shift criteria. The results indicate that the appropriate control configuration can have significant effects and can improve plant performance.

Graviss, K.J.; Collins, R.L.

1999-07-01T23:59:59.000Z

411

Surface Water Quality Standards (Kansas)  

Broader source: Energy.gov [DOE]

This act states regulations for the quality of surface water in the state. It also states designated uses of classified surface waters, surface water quality criteria and an antidegradation policy...

412

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...

413

Quality Assurance Exchange, December 2005  

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

the EM-HQ Quality Assur- ance Program Plan (QAPP), the benefits of having a DOE Order on QA, and the EM Quality Assurance goals. Describe your role as QA Administrator for...

414

Total quality management implementation guidelines  

SciTech Connect (OSTI)

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.

Not Available

1993-12-01T23:59:59.000Z

415

Bayesian learning in bioinformatics  

E-Print Network [OSTI]

. . . . . . . . . . 8 II.2.2. Historical Pathways . . . . . . . . . . . . . . . . 9 II.2.3. Gene Class Detection . . . . . . . . . . . . . . . 11 II.3. Bayesian Learning for Microarrays . . . . . . . . . . . . . 14 II.3.1. BLM1... . . . . . . . . . . . . . . . . . . . . . . . . 14 II.3.2. BLM2 . . . . . . . . . . . . . . . . . . . . . . . . 17 II.3.3. BLM3 . . . . . . . . . . . . . . . . . . . . . . . . 19 II.3.4. Posterior Computation . . . . . . . . . . . . . . 23 II.3.5. False Discovery Analysis...

Gold, David L.

2009-05-15T23:59:59.000Z

416

Software Carpentry: Lessons Learned  

E-Print Network [OSTI]

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.

Greg Wilson

2014-01-29T23:59:59.000Z

417

Software Carpentry: Lessons Learned  

E-Print Network [OSTI]

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.

Wilson, Greg

2013-01-01T23:59:59.000Z

418

Total and Peak Energy Consumption Minimization of Building HVAC Systems Using Model Predictive Control  

E-Print Network [OSTI]

optimal control design for HVAC systems,’’ in Proc. Dynamicelectricity consumption in hvac using learning- based model-algorithm design for hvac systems in energy efficient

Maasoumy, Mehdi; Sangiovanni-Vincentelli, Alberto

2012-01-01T23:59:59.000Z

419

E-Print Network 3.0 - adaptive training control Sample Search...  

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

this paper we present a Reinforcement Learning (RL) ap- proach with the capability to train neural adaptive... controller is a Neural fitted ... Source: Gross, Horst-Michael -...

420

2011 Quality Council Annual Report  

Broader source: Energy.gov [DOE]

DEPARTMENT OF ENERGY QUALITY COUNCIL ANNUAL REPORT For Calendar Year 2011 Office of Health Safety and Security

Note: This page contains sample records for the topic "quality control learn" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

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

E-Print Network [OSTI]

of IS0 9000 quality management systems on manufacturing.Standard for Quality Management Systems Affects Employeeshow the ISO 9001 Quality Management System standard affects

Levine, David I.; Toffel, Michael W.

2008-01-01T23:59:59.000Z

422

QUALITY MANAGEMENT AGENDA General Agenda  

E-Print Network [OSTI]

1 QUALITY MANAGEMENT AGENDA General Agenda A week before study commences, the following matters a meeting for the following purposes: 1. Read the report that is related to quality management for the previous term. 2. Conduct a general review of the procedures of quality management and reinforcement

423

Texas Surface Water Quality Standards  

E-Print Network [OSTI]

1 Texas Surface Water Quality Standards 30 TAC Chapter 307 Lori Hamilton Water Quality Standards of the water quality standards for a water body will be conducted Types of UAAs Aquatic Life Use (ALU) UAAs 2 procedures in conjunction with Standards revision Before Conducting a UAA Coordinate with your TCEQ project

424

Integrating automated shading and smart glazings with daylight controls  

E-Print Network [OSTI]

Effect of Venetian Blinds on Daylight Photoelectric Controland Smart Glazings with Daylight Controls Stephen Selkowitzwith the outdoors and daylight to enhance the quality of the

Selkowitz, Stephen; Lee, Eleanor

2004-01-01T23:59:59.000Z

425

acase control study: Topics by E-print Network  

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

91 KNOWLEDGE MANAGEMENT via INFORMATION TECHNOLOGIES CASE STUDY QUALITY CONTROL PLANS IN SIEMENS A&D ET. Open Access Theses and Dissertations Summary: ??SUMMARY Title: Knowlege...

426

adolescents case control: Topics by E-print Network  

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

Knowlege Management via Information Technologies, Case Study: Quality Control Plans In Siemens A&D ET Author: Asli Morali Supervisor: Anders Hederstierna Department: School of...

427

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...

428

Lessons learned from the deployment of a high-interaction honeypot E. Alata1, V. Nicomette1, M. Kaniche1, M. Dacier2, M. Herrb1  

E-Print Network [OSTI]

Lessons learned from the deployment of a high-interaction honeypot E. Alata1, V. Nicomette1, M an experimental study and the lessons learned from the observation of the attackers when logged on a compromised in a controlled environment. In this paper, we describe the lessons learned from the development and deployment

Paris-Sud XI, Université de

429

The impact of glial inhibition on the spinal instrumental learning paradigm  

E-Print Network [OSTI]

by spinally transected rats’ ability to exhibit an increase in hind limb flexion duration when limb extension is associated with shock (controllable shock). If limb extension is not associated with shock (uncontrollable shock), a learning deficit develops...

Vichaya, Elisabeth Good

2009-05-15T23:59:59.000Z

430

Association and Abstraction in Sequential Learning:“What is Learned?” Revisited  

E-Print Network [OSTI]

serial-pattern learning; our SPAM simulations simply testedwalk" simulation model of multiple-pattern learning in ain rat serial pattern learning. In two simulation studies (

Fountain, Stephen B.; Doyle, Karen E.

2011-01-01T23:59:59.000Z

431

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

E-Print Network [OSTI]

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.

Seokwon Yoo; Jeongho Bang; Changhyoup Lee; Jinhyoung Lee

2014-10-14T23:59:59.000Z

432

UMTRA Project Office quality assurance program plan. Revision 6  

SciTech Connect (OSTI)

The Uranium Mill Tailings Remedial Action (UMTRA) Project was established to accomplish remedial actions at inactive uranium mill tailings sites. The UMTRA Project`s mission is to stabilize and control the residual radioactive materials at designated sites in a safe and environmentally sound manner so as to minimize or eliminate radiation health hazards to the public. Because these efforts may involve possible risks to public health and safety, a quality assurance (QA) program that conforms to the applicable criteria has been established to control the quality of the work. This document, the Quality Assurance Program Plan (QAPP), brings into one document the essential criteria to be applied on a selective basis, depending upon the nature of the activity being conducted, and describes how those criteria shall be applied to the UMTRA Project. QA requirements contained in this QAPP shall apply to all personnel, processes, and activities, including planning, scheduling, and cost control, performed by the UMTRA Project Office and its contractors.

Not Available

1994-09-01T23:59:59.000Z

433

Page 1 of 3 Title: eLearning Knowledge Base Group Terms of Reference  

E-Print Network [OSTI]

Learning Communications group and Control Interface and Integration group on implications for KB of upgrades · Update) Control Interface and Integration group ­ responsible for testing Control Interface and Integration group the operational delivery of user support documentation via the Knowledge Base (KB) and is under the sponsorship

Sidorov, Nikita

434

IEEE TRANSACTIONS ON NEURAL NETWORKS 1 Online Kernel-based Learning  

E-Print Network [OSTI]

an application in task-space tracking control of redundant robots possible. The model parametrization furtherIEEE TRANSACTIONS ON NEURAL NETWORKS 1 Online Kernel-based Learning for Task-Space Tracking Robot Control Duy Nguyen-Tuong, Jan Peters Abstract--Task-space control of redundant robot systems based

435

DOE Challenge Home Recommended Quality Management Provisions...  

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

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

436

Perceptual quality assessment for compressed video  

E-Print Network [OSTI]

Overview of Video Quality Assessment . . . . . . . . . . . .2.3.1 Subjective Video Quality Assessment . . . . . . . .2.3.2 Objective Video Quality Assessment . . . . . . . . .

Yang, Kai-Chieh

2007-01-01T23:59:59.000Z

437

THE MSU PRESIDENT'S AWARD FOR EXCELLENCE IN SERVICE LEARNING This award, open to an MSU faculty member (tenured, tenure track, assistant, associate or adjunct) and  

E-Print Network [OSTI]

of the partnership, and will be heavily weighted around how well the service learning course meets the best practices of civic responsibility. The assessment of nominees will involve consideration of the quality and effort a service learning course can demand. Please contact Kathy Tanner in the MSU Office of Activities

Maxwell, Bruce D.

438

School quality and wages  

E-Print Network [OSTI]

to a College Degree Over a High School Degree...........................................................................................133 1 CHAPTER I#0;#3;#0;#3; #0;#3;#0;#3; INTRODUCTION Introduction During the 2000-2001 school year, $738 billion... that we believe that spending matters and the presumption must be that extra spending buys something of value, i.e., higher quality schools.3 #0;#3;#0;#3;#0;#3;#0;#3;#0;#3;#0;#3;#0;#3;#0;#3; This dissertation follows the style and format of the Journal...

Speakman, Robert B., Jr.

2007-04-25T23:59:59.000Z

439

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.

440

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation InInformation InExplosionAnnouncements Media Contact Hanna Goss7, 2015Quality Program DQ

Note: This page contains sample records for the topic "quality control learn" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Report: EM Quality Assurance  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September 15,2015Department of Energy onACQUISITION ANDEMEM QUALITY

442

Quality Assurance | Jefferson Lab  

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest RegionatSearch Welcome to theNewsCenter forQuality Assurance Is A Key Focus

443

CSCL@Work Chapter Regional Learning in Software Industries CSCL@Networking -Regional Learning in Software Industries  

E-Print Network [OSTI]

learning across organizational boundaries. Keywords Regional Learning, Software Industry, Networks learning across organizational boundaries. Keywords Regional Learning, Software Industry, Networks1 CSCL@Work ­ Chapter Regional Learning in Software Industries CSCL@Networking - Regional Learning

444

Dream controller  

DOE Patents [OSTI]

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.

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

2013-11-26T23:59:59.000Z

445

Feature Reinforcement Learning In Practice September 9, 2011  

E-Print Network [OSTI]

Feature Reinforcement Learning In Practice #12;Problems Robotic control in an unknown environment Feature #12;Problem formulation ht = a1o1r1o2r2a2 . . . otrt at = Agent(ht) ot+1rt+1 = Environment (Closed Finite State Machines) Markov trees are trees where given st and at, ot+1, we know st+1 Parallel

Hutter, Marcus

446

Learning planar ising models  

SciTech Connect (OSTI)

Inference and learning of graphical models are both well-studied problems in statistics and machine learning that have found many applications in science and engineering. However, exact inference is intractable in general graphical models, which suggests the problem of seeking the best approximation to a collection of random variables within some tractable family of graphical models. In this paper, we focus our attention on the class of planar Ising models, for which inference is tractable using techniques of statistical physics [Kac and Ward; Kasteleyn]. Based on these techniques and recent methods for planarity testing and planar embedding [Chrobak and Payne], we propose a simple greedy algorithm for learning the best planar Ising model to approximate an arbitrary collection of binary random variables (possibly from sample data). Given the set of all pairwise correlations among variables, we select a planar graph and optimal planar Ising model defined on this graph to best approximate that set of correlations. We present the results of numerical experiments evaluating the performance of our algorithm.

Johnson, Jason K [Los Alamos National Laboratory; Chertkov, Michael [Los Alamos National Laboratory; Netrapalli, Praneeth [STUDENT UT AUSTIN

2010-11-12T23:59:59.000Z

447

Document control and Conduct of Operations  

SciTech Connect (OSTI)

Department of Energy (DOE) Order 5480.19, Conduct of operations, places stringent requirements on a wide range of activities at DOE facilities. These requirements directly affect personnel at the Advanced Test Reactor (ATR), which is located in the Test Reactor Area of the Idaho National Engineering Laboratory and operated for DOE by EG G Idaho, Inc. In order for the ATR to comply with 5480.19, the very personality of the reactor facility's document control unit has had to undergo a major change. The Facility and Administrative Support Unit (FAS) is charged with nudntenance of ATR's controlled ddcuments-diousands of operating and administrative procedures. Prior to the imposition of 5480.19, FAS was content to operate in a clerical support mode, seldom questioning or seeking to improve. This numer of doing business is inappropriate within the framework of DOE 5480.19 and is also at odds with the approach to Total Quality Management (TQM) promulgated by EG G Idaho.To comply with the requirements of 5480.19, FAS has Actively applied TQM principles. Empowered personnel to unprove operations through the establishment of a teatn approach. Begun an automation process that is already paying large dividends in terms of improved procedure accuracy and compliance. A state-of-the-art text retrival system is already in place. We are vigorously pursuing fully automated document tmcidng and document management. This paper describes in detail the steps taken to date, the improvements and the lessons learned. It aLw discusses plans for the future that will enable FAS to support the ATR in inccreasing its responsiveness to the Conduct of Operations Order.

Collins, S.K.; Meltzer, F.L.

1993-01-01T23:59:59.000Z

448

The high cost of low quality in R D (research and development)  

SciTech Connect (OSTI)

The principles of quality assurance and quality control yield high payoffs when applied to research activities. Researchers are usually highly motivated individuals who earnestly desire to produce excellent results. The nature of research and the temperament of researchers are such that considerable freedom and latitude are usually required so that the creative processes are not impeded. These are approaches that can be used in applying quality assurance and control that researchers will accept and use when they see the payoff. Some examples are given, with particular emphasis on quality cost systems applied to measurement processes in R D. 14 refs.

Wells, C.V.

1990-10-01T23:59:59.000Z

449

LEARNING AND ORGANIZATIONAL CHANGE (LOC) The Learning and Organizational Change concentration helps you explore how  

E-Print Network [OSTI]

LEARNING AND ORGANIZATIONAL CHANGE (LOC) CURRICULUM The Learning and Organizational Change change through learning and organizational design. The assessment, design and implementation of knowledge, the concentration draws upon innovations in learning sciences and theories of organizational behavior to teach you

Shahriar, Selim

450

Development/Plasticity/Repair Group I Metabotropic Glutamate Receptors Control  

E-Print Network [OSTI]

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

Grau, James

451

Software Quality Assurance Subcommittee : Guidelines for Requirements...  

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

Software Quality Assurance Subcommittee : Guidelines for Requirements Management Software Quality Assurance Subcommittee : Guidelines for Requirements Management Requirements...

452

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

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

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

453

Used Fuel Disposition Campaign Preliminary Quality Assurance...  

Energy Savers [EERE]

Used Fuel Disposition Campaign Preliminary Quality Assurance Implementation Plan Used Fuel Disposition Campaign Preliminary Quality Assurance Implementation Plan The primary...

454

Managing For High-quality Hay  

E-Print Network [OSTI]

This publication highlights the factors determining hay quality and discusses fertility and water interaction, harvesting, quality losses and storage losses....

Stichler, Charles; Bade, David H.

1998-09-22T23:59:59.000Z

455

Organizational scenarios for the use of learning  

E-Print Network [OSTI]

Organizational scenarios for the use of learning objects Henry Hermans and Fred de Vries October 2006 Learning objects in practice 2 #12;Organizational scenarios for the use of learning objects page 2 of 22 Colophon Organizational scenario's for the use of learning objects Learning objects in practice 2

Paris-Sud XI, Université de

456

Construction quality assurance report  

SciTech Connect (OSTI)

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.

Roscha, V.

1994-09-08T23:59:59.000Z

457

LEARNING & TEACHING PLAN 2012-2014 Approved by Academic Board 30 March 2012  

E-Print Network [OSTI]

-Indigenous and international backgrounds. They demand education and training of the highest quality that is readily accessible. This Learning and Teaching Plan sets out specific objectives, actions and responsibilities for activities language competency to undertake their courses. 2.5 To improve student retention rates, access and outcomes

458

Using Learning of Behavior Rules to Mine Medical Data for Sequence Rules  

E-Print Network [OSTI]

Using Learning of Behavior Rules to Mine Medical Data for Sequence Rules Jie Gao and J to time. It contains a novel quality-based intelligent genetic operator, and many adaptive enhancements to make implicit use of data- set-specific knowledge. The algorithm is evaluated on a real-world med- ical

Denzinger, Jörg

459

Air quality VI details environmental progress  

SciTech Connect (OSTI)

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.

NONE

2007-12-31T23:59:59.000Z

460

NEW E-LEARNING SERVICES BASED ON MOBILE AND UBIQUITOUS COMPUTING: UBI-LEARN PROJECT  

E-Print Network [OSTI]

their learning, both in and out of class. Simulations, learning games, threaded discussions, and videoNEW E-LEARNING SERVICES BASED ON MOBILE AND UBIQUITOUS COMPUTING: UBI-LEARN PROJECT Mona Laroussi 1'Ascq cedex - France KEYWORDS: Mobile learning, Ubiquitous learning, Wireless technology Abstract Ubiquitous

Paris-Sud XI, Université de

Note: This page contains sample records for the topic "quality control learn" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

Metafora: A Web-Based Platform for Learning to Learn Together in Science and Mathematics  

E-Print Network [OSTI]

via discovery, educational simulations, social learning techniques, collaborative learning toolsMetafora: A Web-Based Platform for Learning to Learn Together in Science and Mathematics Toby as an emerging pedagogy for supporting Learning to Learn Together in science and mathematics education. Our goal

McLaren, Bruce Martin

462

Z .The Science of the Total Environment 260 2000 1 9 Assessing water quality impacts and cleanup  

E-Print Network [OSTI]

Z .The Science of the Total Environment 260 2000 1 9 Assessing water quality impacts and cleanup a California Regional Water Quality Control Board, 1515 Clay St., Suite 1400, Oakland, CA 94612, USA b of the Total Enšironment 260 2000 1 92 quality trends can be more accurately measured by changes

Kirchner, James W.

463

Abstract--This paper introduces the power quality issues of wind power installations in a historic perspective, as the  

E-Print Network [OSTI]

1 Abstract--This paper introduces the power quality issues of wind power installations large offshore wind farms connected at transmission level. In this perspective, the power quality issues and global issues related to the power system control and stability. Power quality characteristics of wind

464

Machine Learning for Global Optimization  

E-Print Network [OSTI]

Noname manuscript No. (will be inserted by the editor). Machine Learning for Global Optimization. A. Cassioli?. · D. Di Lorenzo. ?. · M. Locatelli. ??. · F. Schoen.

schoen,,,

465

Quality in Saudi advertising design.  

E-Print Network [OSTI]

??This research investigates reasons for differences in quality between advertisements created by local and international advertising agencies operating in Saudi Arabia. It focuses on the… (more)

Alzahrani, Mojib Othman

2012-01-01T23:59:59.000Z

466

Quality Assurance Exchange, June 2006  

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

EXCELLENCE Submitted by Julianna Gallego, Strategic Petroleum Reserve The ANSIISOASQ Q9001-2000 Figure 1. Model of process-based quality management system Meeting the...

467

Quality Assurance Exchange, January 2007  

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

third article of this series (Quality Assurance Exchange June, volume 2, Issue 2), the bulk of the comments derived from the factual accuracy review should be editorial. When...

468

Quality Assurance Exchange August 2011  

Office of Environmental Management (EM)

Editor: Debbie Rosano: 301-903-8177, debbie.rosano@hq.doe.gov Quality Assurance Web site: www.hss.energy.govnuclearsafetyqa Questions or Comments? Please submit to...

469

International Quality Assurance Standards (Presentation)  

SciTech Connect (OSTI)

Tests to make quantitative predictions about photovoltaic (PV) modules are needed. This presentation proposes the creation of international quality assurance standards for PV modules.

Kurtz, S.; Hacke, P.; Wohlgemuth, J.; Kempe, M.; Yamamichi, M.

2011-02-01T23:59:59.000Z

470

Groundwater Quality Rules (New Jersey)  

Broader source: Energy.gov [DOE]

The protection of ambient ground water quality through the establishment of constituent standards for ground water pollutants is the subject of this chapter. These constituent standards are...

471

Intelligent Daylight Panel Control System based on Fuzzy Control for Green Buildings  

E-Print Network [OSTI]

Abstract—This paper proposes an intelligent daylight panel control system based on fuzzy control theory for green buildings. The goal of this research is to automatically modulate sunlight efficiently and to enhance the quality of interior illuminations, thus reducing the need for artificial lighting and conserving energy. Daylight panels are typically installed on the outside of windows. By applying the proposed fuzzy controller, the reflection angle of daylight panels could be adjusted and optimized so that interior illuminative quality is improved and energy-saving is achieved at the same time. Index Terms—daylight panel, intelligent control, fuzzy control. I.

T. C. Kuo; J. S. Lin; Y. Takeuchi; Y. J. Huang

472

Soil Quality Information Sheet Rangeland Soil Quality--Compaction  

E-Print Network [OSTI]

Soil Quality Information Sheet Rangeland Soil Quality--Compaction USDA, Natural Resources Conservation Service May 2001 Rangeland Sheet 4 What is compaction? Soil compaction occurs when moist or wet soil aggregates are pressed together and the pore space between them is reduced. Compaction changes

473

Soil Quality Information Sheet Rangeland Soil Quality--Introduction  

E-Print Network [OSTI]

Soil Quality Information Sheet Rangeland Soil Quality--Introduction USDA, Natural Resources of the soil, the vegetation, the water, and the air as well as the ecological processes of the rangeland ecosystem are balanced and sustained. What is soil? Soil is a dynamic resource that supports plants

474

Soil Quality Information Sheet Rangeland Soil Quality--Wind Erosion  

E-Print Network [OSTI]

Soil Quality Information Sheet Rangeland Soil Quality--Wind Erosion USDA, Natural Resources of the earth's surface by wind. Wind erosion removes and redistributes soil. Small blowout areas may, fence rows, and roadbanks. In many cases the fine soil particles and organic matter are blown offsite

475

Soil Quality Information Sheet Rangeland Soil Quality--Water Erosion  

E-Print Network [OSTI]

Soil Quality Information Sheet Rangeland Soil Quality--Water Erosion USDA, Natural Resources and removal of soil material by water. The process may be natural or accelerated by human activity. The rate of erosion may be very slow to very rapid, depending on the soil, the local landscape, and weather conditions

476

Unit 10: Software Quality To introduce software quality management and  

E-Print Network [OSTI]

. „ ISO 9001 Quality Systems - Model for Quality Assurance in Design/Development, Production, Installation intervals by management to ensure its continuing suitability, effectiveness and conformance with ISO 9001 with particular reference to the requirements of ISO 9000 and associated standards. Ð To introduce QFD

Finkelstein, Anthony

477

Computational modeling of the brain limbic system and its application in control engineering  

E-Print Network [OSTI]

of this thesis, Chapter IV, shows the utilization of the Brain Emotional Learning (BEL) model in different applications of control and signal fusion systems. The main effort is focused on applying the model to control systems where the model acts...

Shahmirzadi, Danial

2005-11-01T23:59:59.000Z

478

National Fuel Cell Electric Vehicle Learning Demonstration Final Report  

SciTech Connect (OSTI)

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.

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

2012-07-01T23:59:59.000Z

479

Genetic Programming of Full Knowledge Bases for Fuzzy Logic Controllers  

E-Print Network [OSTI]

Genetic Programming of Full Knowledge Bases for Fuzzy Logic Controllers Daryl Battle Lucent in fuzzy logic control applications. An extension to a rule learning GP system is presented that achieves and fuzzy logic. These methods have proven to be effective in designing intelligent control systems

Fernandez, Thomas

480

APRIL: Active Preference-learning based Reinforcement Learning  

E-Print Network [OSTI]

behaviors (section 2). Resuming the preference-based policy learning (Ppl) approach [2], the con- tribution of the present paper is to extend Ppl along the lines of active learning, in order to minimize the number Bayesian approaches hardly scale up to large-dimensional continuous spaces. Secondly, the Ppl setting

Paris-Sud XI, Université de

Note: This page contains sample records for the topic "quality control learn" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

Mobile Learning Initiative (MLI) Spring 2012 Mobile Learning Campus Climate  

E-Print Network [OSTI]

Page | 1 Mobile Learning Initiative (MLI) Spring 2012 Mobile Learning Campus Climate Assessment.............................................................................................................................. 30 A. Demographics of 2012 Faculty Mobile Computing Survey Respondents B. Demographics of 2011 and 2012 Student Mobile Computing Survey Respondents C. Example Faculty Comments from Open-Ended Feedback D

Barrash, Warren

482

Team Leader, Learning for Livelihoods Commonwealth of Learning  

E-Print Network [OSTI]

Moses Tenywa, Bernard Fungo, Mungule Chikoye and Martin KaongaThe Commonwealth of Learning (COL) is an intergovernmental organisation created by Commonwealth Heads of Government to encourage the development and sharing of open learning and distance education knowledge, resources and technologies.

Krishna Alluri; Rainer Zachmann; Country Collaborators; Ajaga Nji; Collins Osei; Reuben Aggor; Edward Badu; Geoffrey Kironchi; Adewale Adekunle; Adeolu Ayanwale; Morolake Adekunle; Moses Ubaru; Aliyageen Alghali; Bob Conteh; Edwin Momoh; Camilius Sanga; Ayubu Jacob Churi; Siza Tumbo; Krishna Alluri; Rainer Zachmann; Anthony Youdeowei; Savithri Swaminathan

483

Technology Enhanced Learning and Distance Learning February 21, 2008  

E-Print Network [OSTI]

Technology Enhanced Learning and Distance Learning February 21, 2008 Call for Nominations: Provost's Prize for Teaching with Technology Eligibility: Candidates must be a tenure-track or non's Prize for Teaching with Technology will be awarded to up to two recipients. Each recipient will receive

Southern California, University of

484

Learning by Learning To Communicate Jacob Stuart Michael Beal  

E-Print Network [OSTI]

Learning by Learning To Communicate by Jacob Stuart Michael Beal S.B., Massachusetts Institute To Communicate by Jacob Stuart Michael Beal Submitted to the Department of Electrical Engineering and Computer of my work than I expect. Jean and Jon Beal, my

485

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.

486

Lessons Learned Quarterly Report, March 2004  

Broader source: Energy.gov [DOE]

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.

487

Sequential Causal Learning in Humans and Rats  

E-Print Network [OSTI]

Figure 2 shows simulations of learning of weight for cue A (a previous simulation of sequential learning based on thesimulations are in good agreement with experimental findings. Keywords: Bayesian inference; model selection; sequential causal learning;

Lu, Hongjing; Rojas, Randall R.; Beckers, Tom; Yuille, Alan

2008-01-01T23:59:59.000Z

488

Sequential Causal Learning in Humans and Rats  

E-Print Network [OSTI]

Figure 2 shows simulations of learning of weight for cue A (a previous simulation of sequential learning based on thesimulations are in good agreement with experimental findings. Keywords: Bayesian inference; model selection; sequential causal learning;

Hongjing Lu; Randall R. Rojas; Tom Beckers; Alan Yuille

2011-01-01T23:59:59.000Z

489

File: 070629 Lessons Learned  

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office Programs forDecemberLessons Learned"

490

Comparison of approaches to Total Quality Management. Including an examination of the Department of Energy`s position on quality management  

SciTech Connect (OSTI)

This paper presents a comparison of several qualitatively different approaches to Total Quality Management (TQM). The continuum ranges from management approaches that are primarily standards -- with specific guidelines, but few theoretical concepts -- to approaches that are primarily philosophical, with few specific guidelines. The approaches to TQM discussed in this paper include the International Organization for Standardization (ISO) 9000 Standard, the Malcolm Baldrige National Quality Award, Senge`s the Learning Organization, Watkins and Marsick`s approach to organizational learning, Covey`s Seven Habits of Highly Successful People, and Deming`s Fourteen Points for Management. Some of these approaches (Deming and ISO 9000) are then compared to the DOE`s official position on quality management and conduct of operations (DOE Orders 5700.6C and 5480.19). Using a tabular format, it is shown that while 5700.6C (Quality Assurance) maps well to many of the current approaches to TQM, DOE`s principle guide to management Order 5419.80 (Conduct of Operations) has many significant conflicts with some of the modern approaches to continuous quality improvement.

Bennett, C.T.

1994-03-01T23:59:59.000Z

491

An expert system advisor for well log quality control  

E-Print Network [OSTI]

funda- mental tool in the evaluation of petroleum reservoirs. Wireline well logging involves undergrourR measurement of various rock and fluid properties. These meas~ts are usually recorded with a downhole sonde and ~tted to the surface through a... expert systems, has proven to be an effective com- puterized problem solving tool in many oilfield applications. Expert systems strive to mimic an ~'s reasoning process when performing a highly specialized task. Expert system problem solvirg combines...

Warnken, Dean Kennedy

1988-01-01T23:59:59.000Z

492

Discovery of ubiquitin ligases involved in cytoplasmic quality control  

E-Print Network [OSTI]

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.

Heck, Jarrod Wesley

2010-01-01T23:59:59.000Z

493

Control-Based Quality Adaptation in Data Stream Management Systems  

E-Print Network [OSTI]

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

Hefeeda, Mohammed

494

Model Quality Control Matrix Tools for Defining Commissioning Process  

E-Print Network [OSTI]

2000 andXp. #0;?#0;? MS-Excel version is 2000 and 2002. ?The tool was developed with MS-Excel using macro program, one of the most popular software. MQC tool software _ continued Structure of MQC MatrixStructure of MQC Matrix ?CxProcess?sheet Aspects...

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

2004-01-01T23:59:59.000Z

495

A Switching Control Approach to Haptic Exploration for Quality Grasps  

E-Print Network [OSTI]

, Andrew H. Fagg Symbiotic Computing Laboratory University of Oklahoma Norman, OK 73072 Abstract-- Robotic and Andrew H. Fagg: School of Computer Science, [di|fagg]@cs.ou.edu Brian T. Watson: School of Mechanical

Fagg, Andrew H.

496

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:Year in Review: TopEnergy DOEDealingVehicle1 ClosingAInnovations in FuelJulyReference

497

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:Year in Review: TopEnergy DOEDealingVehicle1 ClosingAInnovations in

498

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:Year in Review: Top Five EERE BlogAttachmentFlash2011-21 Audit Letter6-0136Year 2015 Audits

499

NREL Job Task Analysis: Quality Control Inspector | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGY TAXBalanced Scorecard Federal2 to:DieselEnergy Auditor NREL Job Task Analysis:

500

Air Quality Control Act (New Mexico) | 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists' ResearchThe OfficeUtility Fed. Government CommercialProgramUtility