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1

Bayesian Network Learning with Parameter Constraints  

Science Conference Proceedings (OSTI)

The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of training data. This paper considers a variety of types of domain knowledge ...

Radu Stefan Niculescu; Tom M. Mitchell; R. Bharat Rao

2006-12-01T23:59:59.000Z

2

Organizational learning at nuclear power plants  

E-Print Network (OSTI)

The Nuclear Power Plant Advisory Panel on Organizational Learning provides channels of communications between the management and organization research projects of the MIT International Program for Enhanced Nuclear Power ...

Carroll, John S.

1991-01-01T23:59:59.000Z

3

Lessons learned from existing biomass power plants  

DOE Green Energy (OSTI)

This report includes summary information on 20 biomass power plants, which represent some of the leaders in the industry. In each category an effort is made to identify plants that illustrate particular points. The project experiences described capture some important lessons learned that lead in the direction of an improved biomass power industry.

Wiltsee, G.

2000-02-24T23:59:59.000Z

4

Meta-learning for evolutionary parameter optimization of classifiers  

Science Conference Proceedings (OSTI)

The performance of most of the classification algorithms on a particular dataset is highly dependent on the learning parameters used for training them. Different approaches like grid search or genetic algorithms are frequently employed to find suitable ... Keywords: Feature selection, Genetic algorithm, Meta-learning, Parameter optimization

Matthias Reif; Faisal Shafait; Andreas Dengel

2012-06-01T23:59:59.000Z

5

Data Mining for Soft Sensing Modeling of Power Plant Parameters  

Science Conference Proceedings (OSTI)

As a new modeling thought, the accurate soft sensing model of power plant parameter was established by data mining method, which obtained effective information from the large number of real-time operation data and avoided low accuracy of conventional ... Keywords: data mining, soft sensing, mathematic modeling, power plant parameters, partial least-square regression

Tao Jin; Zhongguang Fu; Gang Liu

2009-08-01T23:59:59.000Z

6

Great plains coal gasification plant: Technical lessons learned report  

SciTech Connect

In a first of a kind, grass roots plant of the complexity of the Great Plains Gasification Plant the lessons learned are numerous and encompass a wide range of items. This report documents the lessons learned from all phases of the project from preliminary design through the most recent operation of the plant. Based on these lessons learned, suggestions are made for changes and/or process improvements to future synfuel plants. In addition, recommendations are made for research and development in selected areas. 46 refs., 31 figs., 33 tabs.

Delaney, R.C.; Mako, P.F.

1988-11-01T23:59:59.000Z

7

Basis functions and parameter optimisation in high-order iterative learning control  

Science Conference Proceedings (OSTI)

In this paper a new parameter-optimal high-order Iterative Learning Control (ILC) algorithms is proposed to extend the work of Owens and Feng [Parameter optimisation in iterative learning control. International Journal of Control 14(11), 1059-1069]. ... Keywords: Basis functions, Iterative learning control, Parameter optimisation

J. HäTöNen; D. H. Owens; K. Feng

2006-02-01T23:59:59.000Z

8

Discriminative structure and parameter learning for Markov logic networks  

Science Conference Proceedings (OSTI)

Markov logic networks (MLNs) are an expressive representation for statistical relational learning that generalizes both first-order logic and graphical models. Existing methods for learning the logical structure of an MLN are not discriminative; however, ...

Tuyen N. Huynh; Raymond J. Mooney

2008-07-01T23:59:59.000Z

9

Illustrated plant identification keys: An interactive tool to learn botany  

Science Conference Proceedings (OSTI)

An Interactive Dichotomous Key (IDK) for 390 taxa of vascular plants from the Ria de Aveiro, available on a website, was developed to help teach botany to school and universitary students. This multimedia tool includes several links to Descriptive and ... Keywords: Applications in subject areas, Post-secondary education, Secondary education, Teaching/learning strategies

Helena Silva; Rosa Pinho; Lísia Lopes; António J. A. Nogueira; Paulo Silveira

2011-05-01T23:59:59.000Z

10

Combining Parameter Space Search and Meta-learning for Data-Dependent Computational Agent Recommendation  

Science Conference Proceedings (OSTI)

The goal of our data-mining multi-agent system is to facilitate data-mining experiments without the necessary knowledge of the most suitable machine learning method and its parameters to the data. In order to replace the expertâ??s knowledge, the ... Keywords: meta-learning, data-mining, multi-agent systems

Ondrej Kazik; Klara Peskova; Martin Pilat; Roman Neruda

2012-12-01T23:59:59.000Z

11

Learn about benchmarking | ENERGY STAR Buildings & Plants  

NLE Websites -- All DOE Office Websites (Extended Search)

Learn about benchmarking Learn about benchmarking Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section How can we help you? Build an energy program Improve building and plant performance Earn the ENERGY STAR and other recognition Benchmark energy use Learn about benchmarking Use ENERGY STAR benchmarking tools ENERGY STAR in action Communicate and educate Find out who's partnered with ENERGY STAR

12

Estimating Building Simulation Parameters via Bayesian Structure Learning  

SciTech Connect

Many key building design policies are made using sophisticated computer simulations such as EnergyPlus (E+), the DOE flagship whole-building energy simulation engine. E+ and other sophisticated computer simulations have several major problems. The two main issues are 1) gaps between the simulation model and the actual structure, and 2) limitations of the modeling engine's capabilities. Currently, these problems are addressed by having an engineer manually calibrate simulation parameters to real world data or using algorithmic optimization methods to adjust the building parameters. However, some simulations engines, like E+, are computationally expensive, which makes repeatedly evaluating the simulation engine costly. This work explores addressing this issue by automatically discovering the simulation's internal input and output dependencies from 20 Gigabytes of E+ simulation data, future extensions will use 200 Terabytes of E+ simulation data. The model is validated by inferring building parameters for E+ simulations with ground truth building parameters. Our results indicate that the model accurately represents parameter means with some deviation from the means, but does not support inferring parameter values that exist on the distribution's tail.

Edwards, Richard E [ORNL; New, Joshua Ryan [ORNL; Parker, Lynne Edwards [ORNL

2013-01-01T23:59:59.000Z

13

A novel approach for estimation of optimal embedding parameters of nonlinear time series by structural learning of neural network  

Science Conference Proceedings (OSTI)

In this work a novel approach for estimation of embedding parameters for reconstruction of underlying dynamical system from the observed nonlinear time series by a feedforward neural network with structural learning is proposed. The proposed scheme of ... Keywords: Chaos, Embedding parameters, Embedding theorem, Neural network, Nonlinear time series, Strange attractor, Structural learning

Yusuke Manabe; Basabi Chakraborty

2007-03-01T23:59:59.000Z

14

Nuclear power plant Generic Aging Lessons Learned (GALL). Appendix B  

SciTech Connect

The purpose of this generic aging lessons learned (GALL) review is to provide a systematic review of plant aging information in order to assess materials and component aging issues related to continued operation and license renewal of operating reactors. Literature on mechanical, structural, and thermal-hydraulic components and systems reviewed consisted of 97 Nuclear Plant Aging Research (NPAR) reports, 23 NRC Generic Letters, 154 Information Notices, 29 Licensee Event Reports (LERs), 4 Bulletins, and 9 Nuclear Management and Resources Council Industry Reports (NUMARC IRs) and literature on electrical components and systems reviewed consisted of 66 NPAR reports, 8 NRC Generic Letters, 111 Information Notices, 53 LERs, 1 Bulletin, and 1 NUMARC IR. More than 550 documents were reviewed. The results of these reviews were systematized using a standardized GALL tabular format and standardized definitions of aging-related degradation mechanisms and effects. The tables are included in volume s 1 and 2 of this report. A computerized data base has also been developed for all review tables and can be used to expedite the search for desired information on structures, components, and relevant aging effects. A survey of the GALL tables reveals that all ongoing significant component aging issues are currently being addressed by the regulatory process. However, the aging of what are termed passive components has been highlighted for continued scrutiny. This report consists of Volume 2, which consists of the GALL literature review tables for the NUMARC Industry Reports reviewed for the report.

Kasza, K.E.; Diercks, D.R.; Holland, J.W.; Choi, S.U. [and others

1996-12-01T23:59:59.000Z

15

Early Site Permit Demonstration Program: Plant parameters envelope report. Volume 1  

Science Conference Proceedings (OSTI)

The Early Site Permit (ESP) Demonstration Program is the nuclear industry`s initiative for piloting the early resolution of siting-related issues before the detailed design proceedings of the combined operating license review. The ESP Demonstration Program consists of three phases. The plant parameters envelopes task is part of Phase 1, which addresses the generic review of applicable federal regulations and develops criteria for safety and environmental assessment of potential sites. The plant parameters envelopes identify parameters that characterize the interface between an ALWR design and a potential site, and quantify the interface through values selected from the Utility Requirements Documents, vendor design information, or engineering assessments. When augmented with site-specific information, the plant parameters envelopes provide sufficient information to allow ESPs to be granted based on individual ALWR design information or enveloping design information for the evolutionary, passive, or generic ALWR plants. This document is expected to become a living document when used by future applicants.

Not Available

1993-03-01T23:59:59.000Z

16

LBNL-52559 Learning and Cost Reductions for Generating  

E-Print Network (OSTI)

) incorporates endogenous learning into its cost calculations for power plants. The parameters that affect reductions due to learning for each of 21 power plants types. Technological learning is represented two ways, solar thermal, and photovoltaic plants. The initial TOFs are shown in Table 3. In NEMS, the first plant

17

Display device for indicating the value of a parameter in a process plant  

DOE Patents (OSTI)

An advanced control room complex for a nuclear power plant, including a discrete indicator and alarm system (72) which is nuclear qualified for rapid response to changes in plant parameters and a component control system (64) which together provide a discrete monitoring and control capability at a panel (14-22, 26, 28) in the control room (10). A separate data processing system (70), which need not be nuclear qualified, provides integrated and overview information to the control room and to each panel, through CRTs (84) and a large, overhead integrated process status overview board (24). The discrete indicator and alarm system (72) and the data processing system (70) receive inputs from common plant sensors and validate the sensor outputs to arrive at a representative value of the parameter for use by the operator during both normal and accident conditions, thereby avoiding the need for him to assimilate data from each sensor individually. The integrated process status board (24) is at the apex of an information hierarchy that extends through four levels and provides access at each panel to the full display hierarchy. The control room panels are preferably of a modular construction, permitting the definition of inputs and outputs, the man machine interface, and the plant specific algorithms, to proceed in parallel with the fabrication of the panels, the installation of the equipment and the generic testing thereof.

Scarola, Kenneth (Windsor, CT); Jamison, David S. (Windsor, CT); Manazir, Richard M. (North Canton, CT); Rescorl, Robert L. (Vernon, CT); Harmon, Daryl L. (Enfield, CT)

1993-01-01T23:59:59.000Z

18

Lessons Learned in International Safeguards - Implementation of Safeguards at the Rokkasho Reprocessing Plant  

SciTech Connect

The focus of this report is lessons learned at the Rokkasho Reprocessing Plant (RRP). However, the subject of lessons learned for application of international safeguards at reprocessing plants includes a cumulative history of inspections starting at the West Valley (New York, U.S.A.) reprocessing plant in 1969 and proceeding through all of the efforts over the years. The RRP is the latest and most challenging application the International Atomic Energy Agency has faced. In many ways the challenges have remained the same, timely inspection and evaluation with limited inspector resources, with the continuing realization that planning and preparations can never start early enough in the life cycle of a facility. Lessons learned over the years have involved the challenges of using ongoing advances in technology and dealing with facilities with increased throughput and continuous operation. This report will begin with a review of historical developments and lessons learned. This will provide a basis for a discussion of the experiences and lessons learned from the implementation of international safeguards at RRP.

Ehinger, Michael H [ORNL; Johnson, Shirley [Tucker Creek Consulting

2010-02-01T23:59:59.000Z

19

Single parameter controls for nuclear criticality safety at the Oak Ridge Y-12 Plant  

SciTech Connect

At the Oak Ridge Y-12 Plant, there are numerous situations in which nuclear criticality safety must be assured and subcriticality demonstrated by some method other than the straightforward use of the double contingency principle. Some cases are cited, and the criticality safety evaluation of contaminated combustible waste collectors is considered in detail. The criticality safety evaluation for combustible collectors is based on applying one very good control to the one controllable parameter. Safety can only be defended when the contingency of excess density is limited to a credible value based on process knowledge. No reasonable single failure is found that will result in a criticality accident. The historically accepted viewpoint is that this meets double contingency, even though there are not two independent controls on the single parameter of interest.

Baker, J.S.; Peek, W.M.

1995-01-13T23:59:59.000Z

20

High Temperature Gas-Cooled Reactors Lessons Learned Applicable to the Next Generation Nuclear Plant  

SciTech Connect

The purpose of this report is to identify possible issues highlighted by these lessons learned that could apply to the NGNP in reducing technical risks commensurate with the current phase of design. Some of the lessons learned have been applied to the NGNP and documented in the Preconceptual Design Report. These are addressed in the background section of this document and include, for example, the decision to use TRISO fuel rather than BISO fuel used in the Peach Bottom reactor; the use of a reactor pressure vessel rather than prestressed concrete found in Fort St. Vrain; and the use of helium as a primary coolant rather than CO2. Other lessons learned, 68 in total, are documented in Sections 2 through 6 and will be applied, as appropriate, in advancing phases of design. The lessons learned are derived from both negative and positive outcomes from prior HTGR experiences. Lessons learned are grouped according to the plant, areas, systems, subsystems, and components defined in the NGNP Preconceptual Design Report, and subsequent NGNP project documents.

J. M. Beck; L. F. Pincock

2011-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "learning parameters plants" 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

Designing and Operating for Safeguards: Lessons Learned From the Rokkasho Reprocessing Plant (RRP)  

Science Conference Proceedings (OSTI)

This paper will address the lessons learned during the implementation of International Atomic Energy Agency (IAEA) safeguards at the Rokkasho Reprocessing Plant (RRP) which are relevant to the issue of ‘safeguards by design’. However, those lessons are a result of a cumulative history of international safeguards experiences starting with the West Valley reprocessing plant in 1969, continuing with the Barnwell plant, and then with the implementation of international safeguards at WAK in Germany and TRP in Japan. The design and implementation of safeguards at RRP in Japan is the latest and most challenging that the IAEA has faced. This paper will discuss the work leading up to the development of a safeguards approach, the design and operating features that were introduced to improve or aid in implementing the safeguards approach, and the resulting recommendations for future facilities. It will provide an overview of how ‘safeguardability’ was introduced into RRP.

Johnson, Shirley J.; Ehinger, Michael

2010-08-07T23:59:59.000Z

22

Preliminary performance assessment for the Waste Isolation Pilot Plant, December 1992. Volume 3, Model parameters: Sandia WIPP Project  

Science Conference Proceedings (OSTI)

This volume documents model parameters chosen as of July 1992 that were used by the Performance Assessment Department of Sandia National Laboratories in its 1992 preliminary performance assessment of the Waste Isolation Pilot Plant (WIPP). Ranges and distributions for about 300 modeling parameters in the current secondary data base are presented in tables for the geologic and engineered barriers, global materials (e.g., fluid properties), and agents that act upon the WIPP disposal system such as climate variability and human-intrusion boreholes. The 49 parameters sampled in the 1992 Preliminary Performance Assessment are given special emphasis with tables and graphics that provide insight and sources of data for each parameter.

Not Available

1992-12-29T23:59:59.000Z

23

Parameter optimization of modern machining processes using teaching-learning-based optimization algorithm  

Science Conference Proceedings (OSTI)

Modern machining processes are now-a-days widely used by manufacturing industries in order to produce high quality precise and very complex products. These modern machining processes involve large number of input parameters which may affect the cost ... Keywords: Abrasive jet machining, Modern machining processes, Parameter optimization, TLBO algorithm, Ultrasonic machining, Wire electrical discharge machining

R. Venkata Rao; V. D. Kalyankar

2013-01-01T23:59:59.000Z

24

Aeration control and parameter soft estimation for a wastewater treatment plant using a neurogenetic design  

Science Conference Proceedings (OSTI)

Biochemical oxygen demand and chemical oxygen demand are the most important parameters for wastewater management and planning, which represents the oxygen consumption from degradation of organic material. Insufficient levels of dissolved oxygen prevent ... Keywords: aeration optimal control, artificial neural networks, genetic algorithms, wastewater process

Javier Fernandez de Canete; Pablo del Saz-Orozco; Inmaculada Garcia-Moral

2011-06-01T23:59:59.000Z

25

Joint Regulation of Radionuclides at Connecticut Yankee Haddam Neck Plant - Finding Common Ground and Lessons Learned  

Science Conference Proceedings (OSTI)

During the site closure of nuclear facilities where both radionuclides and chemicals are present in environmental media, state and federal regulatory agencies other than the Nuclear Regulatory Commission often have a stake in the regulation of the site closure process. At the Connecticut Yankee Atomic Power Company (CYAPCO) Haddam Neck Plant in Haddam, Connecticut, the site closure process includes both radiological and chemical cleanup which is regulated by two separate divisions within the state and two federal agencies. Each of the regulatory agencies has unique closure criteria which pertain to radionuclides and, consequently, there is overlapping and in some cases disparate regulation of radionuclides. Considerable effort has been expended by CYAPCO to find common ground in meeting the site closure requirements for radionuclides required by each of the agencies. This paper discusses the approaches that have been used by CYAPCO to address radionuclide site closure requirements. Significant lessons learned from these approaches include the demonstration that public health cleanup criteria for most radionuclides of concern at nuclear power generation facilities are protective for chemical toxicity concerns and are protective for ecological receptors and, consequently, performing a baseline ecological risk assessment for radionuclides at power generation facilities is not generally necessary. (authors)

Peters, J.; Glucksberg, N.; Fogg, A. [MACTEC Engineering and Consulting, Inc., Portland, Maine 04112 (United States); Couture, B. [Connecticut Yankee Atomic Power Company, Haddam Neck Plant, Haddam, Connecticut 06424 (United States)

2006-07-01T23:59:59.000Z

26

The design of future central receiver power plants based on lessons learned from the Solar One Pilot Plant  

SciTech Connect

The 10-MW{sub e} Solar One Pilot Plant was the world's largest solar central receiver power plant. During its power production years it delivered over 37,000 MWhrs (net) to the utility grid. In this type of electric power generating plant, large sun-tracking mirrors called heliostats reflect and concentrate sunlight onto a receiver mounted on top a of a tower. The receiver transforms the solar energy into thermal energy that heats water, turning it into superheated steam that drives a turbine to generate electricity. The Solar One Pilot Plant successfully demonstrated the feasibility of generating electricity with a solar central receiver power plant. During the initial 2 years the plant was tested and 4 years the plant was operated as a power plant, a great deal of data was collected relating to the efficiency and reliability of the plant's various systems. This paper summarizes these statistics and compares them to goals developed by the US Department of Energy. Based on this comparison, improvements in the design and operation of future central receiver plants are recommended. Research at Sandia National Laboratories and the US utility industry suggests that the next generation of central receiver power plants will use a molten salt heat transfer fluid rather than water/steam. Sandia has recently completed the development of the hardware needed in a molten salt power plant. Use of this new technology is expected to solve many of the performance problems encountered at Solar One. Projections for the energy costs from these future central receiver plants are also presented. For reference, these projections are compared to the current energy costs from the SEGS parabolic trough plants now operating in Southern California.

Kolb, G.J.

1991-01-01T23:59:59.000Z

27

The design of future central receiver power plants based on lessons learned from the Solar One Pilot Plant  

DOE Green Energy (OSTI)

The 10-MW{sub e} Solar One Pilot Plant was the world's largest solar central receiver power plant. During its power production years it delivered over 37,000 MWhrs (net) to the utility grid. In this type of electric power generating plant, large sun-tracking mirrors called heliostats reflect and concentrate sunlight onto a receiver mounted on top a of a tower. The receiver transforms the solar energy into thermal energy that heats water, turning it into superheated steam that drives a turbine to generate electricity. The Solar One Pilot Plant successfully demonstrated the feasibility of generating electricity with a solar central receiver power plant. During the initial 2 years the plant was tested and 4 years the plant was operated as a power plant, a great deal of data was collected relating to the efficiency and reliability of the plant's various systems. This paper summarizes these statistics and compares them to goals developed by the US Department of Energy. Based on this comparison, improvements in the design and operation of future central receiver plants are recommended. Research at Sandia National Laboratories and the US utility industry suggests that the next generation of central receiver power plants will use a molten salt heat transfer fluid rather than water/steam. Sandia has recently completed the development of the hardware needed in a molten salt power plant. Use of this new technology is expected to solve many of the performance problems encountered at Solar One. Projections for the energy costs from these future central receiver plants are also presented. For reference, these projections are compared to the current energy costs from the SEGS parabolic trough plants now operating in Southern California.

Kolb, G.J.

1991-01-01T23:59:59.000Z

28

Lessons learned from an installation perspective for chemical demilitarization plant start-up at four operating incineration sites.  

SciTech Connect

This study presents the lessons learned by chemical storage installations as they prepared for the start of chemical demilitarization plant operations at the four current chemical incinerator sites in Alabama, Arkansas, Oregon, and Utah. The study included interviews with persons associated with the process and collection of available documents prepared at each site. The goal was to provide useful information for the chemical weapons storage sites in Colorado and Kentucky that will be going through plant start-up in the next few years. The study is not a compendium of what to do and what not to do. The information has been categorized into ten lessons learned; each is discussed individually. Documents that may be useful to the Colorado and Kentucky sites are included in the appendices. This study should be used as a basis for planning and training.

Motz, L.; Decision and Information Sciences

2011-02-21T23:59:59.000Z

29

The Potential for Using Stormwater in Power Plants: Lessons Learned from Case Studies at Two Great River Energy Plants  

Science Conference Proceedings (OSTI)

Through detailed analyses for two power plants, this report evaluates the use of stormwater for cooling and other uses. The report will benefit environment, generation, and planning managers within power companies, government agencies, and water resource stakeholders.BackgroundIn recent years, there has been a focus on evaluating the use of nontraditional water sources for thermoelectric power plant cooling, such as reclaimed municipal wastewater, produced ...

2012-12-14T23:59:59.000Z

30

Planning for coal power plant transition : lessons learned from communities in Massachusetts  

E-Print Network (OSTI)

As coal-fired power plants across the U.S. are retiring in increasing numbers - a trend likely to continue in the years ahead - the communities that host these plants will play a critical role in balancing local concerns ...

Nochur, Aditya Kumar

2013-01-01T23:59:59.000Z

31

Selective ensemble extreme learning machine modeling of effluent quality in wastewater treatment plants  

Science Conference Proceedings (OSTI)

Real-time and reliable measurements of the effluent quality are essential to improve operating efficiency and reduce energy consumption for the wastewater treatment process. Due to the low accuracy and unstable performance of the traditional effluent ... Keywords: Wastewater treatment process, effluent quality prediction, extreme learning machine, genetic algorithm, selective ensemble model

Li-Jie Zhao; Tian-You Chai; De-Cheng Yuan

2012-12-01T23:59:59.000Z

32

Lessons learned from commercial experience with nuclear plant decontamination to safe storage  

Science Conference Proceedings (OSTI)

The Department of Energy (DOE) has successfully performed decontamination and decommissioning (D&D) on many production reactors it. DOE now has the challenge of performing D&D on a wide variety of other nuclear facilities. Because so many facilities are being closed, it is necessary to place many of them into a safe-storage status before conducting D&D-for perhaps as much as 20 yr. The challenge is to achieve this safe-storage condition in a cost-effective manner while remaining in compliance with applicable regulations. The DOE Office of Environmental Management, Office of Transition and Management, commissioned a lessons learned study of commercial experience with safe storage and transition to D&D. Although the majority of the commercial experience has been with reactors, many of the lessons learned presented in this paper are directly applicable to transitioning the DOE Weapons Complex.

Fischer, S.R.; Partain, W.L.; Sype, T.

1995-12-31T23:59:59.000Z

33

Transition and Closeout of the Former DOE Mound Plant Site: Lessons Learned  

SciTech Connect

The U.S. Department of Energy's (DOE's) Office of Environmental Management (EM) manages the Miamisburg Closure Project (MCP) by cleaning up the Mound site, located in Miamisburg, Ohio, to specific environmental standards, conveying all excess land parcels to the Miamisburg Mound Community Improvement Corporation, and transferring all continuing DOE post-closure responsibilities to the Office of Legacy Management (LM). Presently, the EM cleanup contract of the Mound site with CH2M Hill Mound Inc. is scheduled for completion on March 31, 2006. LM manages the Mound transition efforts and also post-closure responsibilities at other DOE sites via a contract with the S.M. Stoller Corporation. The programmatic transfer from EM to LM is scheduled to take place on October 1, 2006. The transition of the Mound site has required substantial integration and coordination between the EM and LM. Several project management principles have been implemented to help facilitate the transfer of programmatic responsibility. As a result, several lessons learned have been identified to help streamline and improve integration and coordination of the transfer process. Lessons learned from the Mound site transition project are considered a work in progress and have been summarized according to a work breakdown structure for specific functional areas in the transition schedule. The functional areas include program management, environmental, records management, information technology, property management, stakeholder and regulatory relations, procurement, worker pension and benefits, and project closeout. Specific improvements or best practices have been recognized and documented by the Mound transition team. The Mound site is one of three major cleanup sites within the EM organization scheduled for completion in 2006. EM, EM cleanup contractor, LM, and LM post-closure contractor have identified lessons learned during the transition and closure of the Mound site. The transition effort from environmental cleanup to post-closure operations is complex and requires creative and innovative solutions. Future environmental cleanups can benefit from the lessons learned gained by DOE and contractor organizations. (authors)

Carpenter, C. P. [U.S. Department of Energy Office of Legacy Management, Research Ridge 4, MS-K09, 3600 Collins Ferry Road, Morgantown, WV 26507 (United States); Marks, M. L.; Smiley, S.L. [U.S. Department of Energy Office of Environmental Management, Chiquita Building, 250 E. 5 th Street, Cincinnati, OH 45202 (United States); Gallaher, D. M. [S.M. Stoller Corporation, 955 Mound Road, Miamisburg, OH 45342 (United States)

2006-07-01T23:59:59.000Z

34

Management of Ultimate Risk of Nuclear Power Plants by Source Terms - Lessons Learned from the Chernobyl Accident  

Science Conference Proceedings (OSTI)

The term 'ultimate risk' is used here to describe the probabilities and radiological consequences that should be incorporated in siting, containment design and accident management of nuclear power plants for hypothetical accidents. It is closely related with the source terms specified in siting criteria which assures an adequate separation of radioactive inventories of the plants from the public, in the event of a hypothetical and severe accident situation. The author would like to point out that current source terms which are based on the information from the Windscale accident (1957) through TID-14844 are very outdated and do not incorporate lessons learned from either the Three Miles Island (TMI, 1979) nor Chernobyl accident (1986), two of the most severe accidents ever experienced. As a result of the observations of benign radionuclides released at TMI, the technical community in the US felt that a more realistic evaluation of severe reactor accident source terms was necessary. In this background, the 'source term research project' was organized in 1984 to respond to these challenges. Unfortunately, soon after the time of the final report from this project was released, the Chernobyl accident occurred. Due to the enormous consequences induced by then accident, the one time optimistic perspectives in establishing a more realistic source term were completely shattered. The Chernobyl accident, with its human death toll and dispersion of a large part of the fission fragments inventories into the environment, created a significant degradation in the public's acceptance of nuclear energy throughout the world. In spite of this, nuclear communities have been prudent in responding to the public's anxiety towards the ultimate safety of nuclear plants, since there still remained many unknown points revolving around the mechanism of the Chernobyl accident. In order to resolve some of these mysteries, the author has performed a scoping study of the dispersion and deposition mechanisms of fuel particles and fission fragments during the initial phase of the Chernobyl accident. Through this study, it is now possible to generally reconstruct the radiological consequences by using a dispersion calculation technique, combined with the meteorological data at the time of the accident and land contamination densities of {sup 137}Cs measured and reported around the Chernobyl area. Although it is challenging to incorporate lessons learned from the Chernobyl accident into the source term issues, the author has already developed an example of safety goals by incorporating the radiological consequences of the accident. The example provides safety goals by specifying source term releases in a graded approach in combination with probabilities, i.e. risks. The author believes that the future source term specification should be directly linked with safety goals. (author)

Genn Saji [Ex-Secretariate of Nuclear Safety Commission of Japan (Japan)

2006-07-01T23:59:59.000Z

35

Early Site Permit Demonstration Program, plant parameters envelopes: Comparison with ranges of values for four hypothetical sites. Volume 2  

SciTech Connect

The purpose of this volume is to report the results of the comparison of the ALWR plan parameters envelope with values of site characteristics developed for our hypothetical sites that generally represent conditions encountered within the United States. This effort is not intended to identify or address the suitability of any existing site, site area, or region in the United States. Also included in this volume is Appendix F, SERCH Summaries Regarding Siting.

Not Available

1992-09-01T23:59:59.000Z

36

Summary of Utility License Termination Documents and Lessons Learned: Summary of License Termination Plan Submittals by Three Nuclear Power Plants  

Science Conference Proceedings (OSTI)

The U.S. Nuclear Regulatory Commission's (NRC's) 1996 revised decommissioning regulations specify that the operator of a nuclear plant must submit a "License Termination Plan" (LTP) two years prior to termination of the plant license. The LTP explicitly defines the elements that the plant operator must address in the decommissioning plan. This report focuses on the approaches and experience gained by three of the leading plants in the preparation and submittal of their LTP submittals under the 1996 regul...

2002-10-28T23:59:59.000Z

37

Main Parameters  

NLE Websites -- All DOE Office Websites (Extended Search)

Lattice Definitions Up: APS Storage Ring Parameters Previous: APS Storage Ring Parameters Main Parameters Storage Ring Parameters Notation Model Value General Parameters Nominal...

38

Lessons Learned in Startup and Commissioning of Simple-Cycle and Combined-Cycle Combustion Turbine Plants  

Science Conference Proceedings (OSTI)

Over the last ten years, hundreds of combustion turbines (CT) have been installed to meet the needs of the power generation market. A variety of CT models have been installed throughout this period, in both simple-cycle and combined-cycle configurations. Some of the initial plants had issues related to meeting performance requirements and acceptable operation, and each new plant design could be improved based on the experience gained on the earlier installations and startups. This report provides a summa...

2009-01-21T23:59:59.000Z

39

shape parameters  

Science Conference Proceedings (OSTI)

... Shape Parameters or Form factors. Shape parameters or form factors are derived from more basic measurements such ...

40

Learning and cost reductions for generating technologies in the national energy modeling system (NEMS)  

SciTech Connect

This report describes how Learning-by-Doing (LBD) is implemented endogenously in the National Energy Modeling System (NEMS) for generating plants. LBD is experiential learning that correlates to a generating technology's capacity growth. The annual amount of Learning-by-Doing affects the annual overnight cost reduction. Currently, there is no straightforward way to integrate and make sense of all the diffuse information related to the endogenous learning calculation in NEMS. This paper organizes the relevant information from the NEMS documentation, source code, input files, and output files, in order to make the model's logic more accessible. The end results are shown in three ways: in a simple spreadsheet containing all the parameters related to endogenous learning; by an algorithm that traces how the parameters lead to cost reductions; and by examples showing how AEO 2004 forecasts the reduction of overnight costs for generating technologies over time.

Gumerman, Etan; Marnay, Chris

2004-01-16T23:59:59.000Z

Note: This page contains sample records for the topic "learning parameters plants" 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

Multiobjectivization for classifier parameter tuning  

Science Conference Proceedings (OSTI)

We present a multiobjectivization approach to the parameter tuning of RBF networks and multilayer perceptrons. The approach works by adding two new objectives -- maximization of kappa statistic and minimization of root mean square error -- to the originally ... Keywords: classification, evolutionary algorithm, machine learning, multiobjective optimization, multiobjectivization, parameter tuning

Martin Pilat; Roman Neruda

2013-07-01T23:59:59.000Z

42

Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive Bayesian classification  

Science Conference Proceedings (OSTI)

Averaged n-Dependence Estimators (AnDE) is an approach to probabilistic classification learning that learns by extrapolation from marginal to full-multivariate probability distributions. It utilizes a single parameter that transforms ... Keywords: Averaged one-dependence estimators, Bayesian learning, Classification learning, Ensemble learning, Feating, Learning without model selection, Naive Bayes, Probabilistic learning, Semi-naive Bayesian learning

Geoffrey I. Webb; Janice R. Boughton; Fei Zheng; Kai Ming Ting; Houssam Salem

2012-02-01T23:59:59.000Z

43

Repowering Fossil Steam Plants with Gas Turbines and Heat Recovery Steam Generators: Design Considerations, Economics, and Lessons L earned  

Science Conference Proceedings (OSTI)

This report describes repowering fossil steam plants using gas turbines (GTs) and heat recovery steam generators (HRSGs) in combined-cycle mode. Design considerations and guidance, comparative economics, and lessons learned in the development of such projects are included. Various other methods of fossil plant repowering with GTs are also briefly discussed. The detailed results and comparisons that are provided relate specifically to a generic GT/HRSG repowering. Design parameters, limitations, schedulin...

2012-08-08T23:59:59.000Z

44

Plants “remember” drought, adapt  

Science Conference Proceedings (OSTI)

Research carried out at the University of Nebraska-Lincoln (UNL; USA) shows that plants subjected to a previous period of drought learn to deal with the stress owing to their “memories” of the experience. Plants “remember” drought, adapt Inform Magazine

45

NSLS Ring Parameters  

NLE Websites -- All DOE Office Websites (Extended Search)

Ring Parameters VUV Ring Parameters X-Ray Ring Parameters Booster Ring Parameters Map of Experimental Floor (jpg)...

46

Decommissioning License Termination Plan Documents and Lessons Learned: Summary of LTPs for Two Reactors and Nuclear Regulatory Comm ission Safety Evaluation Reports for Three Nuclear Power Plant LTPs  

Science Conference Proceedings (OSTI)

This report offers those utilities beginning the preparation of License Termination Plans (LTPs) in the near future a comprehensive summary of the approaches currently taken in LTP preparation by major nuclear decommissioning projects. The report details the approach taken in addressing each element of the LTP, and the lessons learned by those utilities currently undergoing the license termination process. This document provides needed guidance for the LTP process, and will greatly benefit utilities cons...

2004-04-28T23:59:59.000Z

47

Time series association learning  

DOE Patents (OSTI)

This invention generally relates to machine-based speech and speaker recognition and, more particularly, to machine-based speech recognition using a learned relationship between acoustic and articulatory parameters. 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. 7 figs.

Papcun, G.J.

1990-01-31T23:59:59.000Z

48

Preparing an Existing Diesel Power Plant for a Wind Hybrid Retrofit: Lessons Learned in the Wales, Alaska, Wind-Diesel Hybrid Power Project  

DOE Green Energy (OSTI)

This paper describes the wind-diesel hybrid power project, a technology demonstration project conducted by the National Renewable Energy Laboratory, Kotzebue Electric Association, the Alaska Village Electric Cooperative and the Alaska Energy Authority in Wales, Alaska. It discusses each of the relevant plant design considerations in detail, in hopes that system integrators and project planners that read the report will realize the importance of giving proper attention to diesel plant preparation (or replacement), and future wind-diesel systems will be installed and commissioned more quickly and cost effectively.

Drouilhet, S.

2001-08-02T23:59:59.000Z

49

Trade-offs in size, quantity and reliability of generalized nuclear power plants: a preliminary assessment  

SciTech Connect

An approximate method is used to estimate the effects of system reliability on optimal nuclear plant size, taking into account also scale factors and manufacturing learning curve slopes. The method is used to estimate the additional effective capability gained by adding units of different sizes to an existing electrical system. The number of additional units proves to be sensitive to forced outrage rate, estimated here from trends in US light-water reactors from 1971 to 1980. The relative cost of added units ranging in size from 200 to 800 MW is determined as a function of the parameters: scale factor and learning curve slope. The results generally corrobate the trends found in an earlier study in which the effect of reliability on required installed capacity was not explicitly considered. Optimal plant size decreases with weaker scale effects and stronger learning curve effects. Reliability considerations further reduce the optimal plant size, but the relative reduction is apparently not as great with steeper learning curves. This is a plausible finding inasmuch as the reduction in numbers of additional units due to reliability considerations will affect cost most where the learning curve is steepest. 9 refs., 4 figs., 3 tabs.

Hill, D.

1985-04-01T23:59:59.000Z

50

Fermilab Prairie Plant Survey  

NLE Websites -- All DOE Office Websites (Extended Search)

Crack the Quadrat* Code! Crack the Quadrat* Code! compass plasnt * What is a Quadrat? It's a one-meter square plot. Plants in the quadrat are identified and counted. Fermilab quadrat specialists can! Attention Citizen Scientists Are you a prairie enthusiast? Learn scientific plant monitoring techniques while enjoying our beautiful prairie. Join a unique science program open to the public, adult groups, families, scouts and more Â…. Become a prairie quadrat specialist and do real science at Fermilab! In the Fermilab Prairie Plant Survey you will learn how to identify prairie plants, map a prairie plot and track restoration progress along with our experts. Use our Website to contribute data you collect. Come once or come back two or three times to see how the prairie changes. Keep an eye on this prairie for years to come!

51

The Learning Way  

Science Conference Proceedings (OSTI)

Contemporary research on meta-cognition has reintroduced conscious experience into psychological research on learning and stimulated a fresh look at classical experiential learning scholars who gave experience a central role in the learning process - ... Keywords: Kolb Learning Style Inventory, experiential learning theory, games, learning self-identity, learning space, learning spiral, learning style, meta-cognition

Alice Y. Kolb; David A. Kolb

2009-06-01T23:59:59.000Z

52

A centurial history of technological change and learning curves or pulverized coal-fired utility boilers  

E-Print Network (OSTI)

construction time of thermal power plants. The World Bankthe overall thermal ef?ciency of PC power plants, as well ascurve; Thermal ef?ciency; Coal-?red power plant; Learning-

Yeh, Sonia; Rubin, Edward

2007-01-01T23:59:59.000Z

53

K--12 computational learning  

Science Conference Proceedings (OSTI)

Enhancing student learning and understanding by combining theories of learning with the computer's unique attributes.

Stephen Cooper; Lance C. Pérez; Daphne Rainey

2010-11-01T23:59:59.000Z

54

Lazy meta-learning: creating customized model ensembles on demand  

Science Conference Proceedings (OSTI)

In the not so distant future, we expect analytic models to become a commodity. We envision having access to a large number of data-driven models, obtained by a combination of crowdsourcing, crowdservicing, cloud-based evolutionary algorithms, outsourcing, ... Keywords: Pareto set, coal-fired power plant management, computational intelligence, ensemble, entropy, fusion, lazy learning, machine learning, meta-learning, neural networks

Piero P. Bonissone

2012-06-01T23:59:59.000Z

55

Storage Ring Parameters  

NLE Websites -- All DOE Office Websites (Extended Search)

Photon Source Parameters Storage Ring Parameters Print General Parameters Parameter Value Beam particle electron Beam energy 1.9 GeV (1.0-1.9 GeV possible) Injection energy 1.9 GeV...

56

Learning to troubleshoot: Multistrategy learning of diagnostic knowledge for a real-world problem solving task  

E-Print Network (OSTI)

This article presents a computational model of the learning of diagnostic knowledge based on observations of human operators engaged in a real-world troubleshooting task. We present a model of problem solving and learning in which the reasoner introspects about its own performance on the problem solving task, identifies what it needs to learn to improve its performance, formulates learning goals to acquire the required knowledge, and pursues its learning goals using multiple learning strategies. The model is implemented in a computer system which provides a case study based on observations of troubleshooting operators and protocol analysis of the data gathered in the test area of an operational electronics manufacturing plant. The model is intended as a computational model of human learning; in addition, it is computationally justified as a uniform, extensible framework for multistrategy learning. Technical Report GIT-CC-93/67, College of Computing, Georgia Institute of Technology, A...

Ashwin Ram

1993-01-01T23:59:59.000Z

57

Lessons Learned  

Energy.gov (U.S. Department of Energy (DOE))

The Department of Energy utilizes lessons learned in the construction of DOE capital asset projects, in order to improve current and future construction projects. Integrated Project Team’s (IPTs),...

58

Pronunciation learning for automatic speech recognition  

E-Print Network (OSTI)

In many ways, the lexicon remains the Achilles heel of modern automatic speech recognizers (ASRs). Unlike stochastic acoustic and language models that learn the values of their parameters from training data, the baseform ...

Badr, Ibrahim

2011-01-01T23:59:59.000Z

59

Constructive hidden nodes selection of extreme learning machine for regression  

Science Conference Proceedings (OSTI)

In this paper, we attempt to address the architectural design of ELM regressor by applying a constructive method on the basis of ELM algorithm. After the nonlinearities of ELM network are fixed by randomly generating the parameters, the network will ... Keywords: Constructive method, Error-minimized extreme learning machine, Extreme learning machine, Incremental extreme learning machine

Yuan Lan; Yeng Chai Soh; Guang-Bin Huang

2010-10-01T23:59:59.000Z

60

Lessons Learned from Existing Biomass Power Plants  

NLE Websites -- All DOE Office Websites (Extended Search)

mills) 220,000 Railroad ties (shredded) 30,000 Scrap tires (shredded) 2,000 History and Outlook Units 1 and 2 at Bay Front were originally designed to fire 100% coal. These B&W...

Note: This page contains sample records for the topic "learning parameters plants" 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

SVM with stochastic parameter selection for bovine leather defect classification  

Science Conference Proceedings (OSTI)

The performance of Support Vector Machines, as many other machine learning algorithms, is very sensitive to parameter tuning,mainly in real world problems. In this paper, two well known and widely used SVM implementations, Weka SMO and LIBSVM, were compared ... Keywords: parameter tuning, pattern recognition, support vector machines

Roberto Viana; Ricardo B. Rodrigues; Marco A. Alvarez; Hemerson Pistori

2007-12-01T23:59:59.000Z

62

Lessons Learned: Creating the Chicago Climate Action Plan | Open Energy  

Open Energy Info (EERE)

Lessons Learned: Creating the Chicago Climate Action Plan Lessons Learned: Creating the Chicago Climate Action Plan Jump to: navigation, search Name Lessons Learned: Creating the Chicago Climate Action Plan Agency/Company /Organization City of Chicago Partner Global Philanthropy Partnership, ICLEI Focus Area Buildings, Energy Efficiency - Central Plant, Greenhouse Gas, Other, Non-renewable Energy, Transportation, Renewable Energy Phase Create a Vision, Determine Baseline, Develop Goals, Prepare a Plan, Get Feedback, Create Early Successes Topics Low emission development planning Resource Type Lessons learned/best practices Availability Free Publication Date 6/1/2008 Website http://www.chicagoclimateactio Locality Chicago, IL References Lessons Learned: Creating the Chicago Climate Action Plan[1] Overview

63

NREL: PVWatts - How to Change Parameters  

NLE Websites -- All DOE Office Websites (Extended Search)

Change Parameters Change Parameters The PVWattsTM calculator allows users to substitute its default input parameters with custom values. Learn how to change the PVWatts parameters for: DC rating DC-to-AC derate factor Array type Tilt angle Azimuth angle Electricity cost DC Rating The size of a photovoltaic (PV) system is its nameplate DC power rating. This is determined by adding the PV module power listed on the nameplates of the PV modules in watts and then dividing the sum by 1,000 to convert it to kilowatts (kW). PV module power ratings are for standard test conditions (STC) of 1,000 W/m2 solar irradiance and 25°C PV module temperature. The default PV system size is 4 kW. This corresponds to a PV array area of approximately 35 m2 (377 ft2). Caution: For correct results, the DC rating input must be the nameplate DC

64

Plant Operational Status - Pantex Plant  

NLE Websites -- All DOE Office Websites (Extended Search)

Status Plant Operational Status Page Content Operational Status Shift 1 - Day The Pantex Plant is open for normal operations. All personnel are to report for duty according to...

65

Advanced Nuclear Technology: Startup Program Guideline--Lessons Learned  

Science Conference Proceedings (OSTI)

The purpose of this report is to capture lessons learned from experienced startup professionals so that these lessons can be evaluated and implemented where appropriate to improve new plant startup programs. This report provides lessons learned and recommendations from 30 experienced startup individuals with a combined 210 years of startup experience from domestic and international plants. This report does not attempt to address all of the elements and activities needed for a successful startup program. ...

2011-07-29T23:59:59.000Z

66

Extracting the fundamental parameters  

E-Print Network (OSTI)

If supersymmetry is discovered at the LHC, the extraction of the fundamental parameters will be a formidable task. In such a system where measurements depend on different combinations of the parameters in a highly correlated system, the identification of the true parameter set in an efficient way necessitates the development and use of sophisticated methods. A rigorous treatment of experimental and theoretical errors is necessary to determine the precision of the measurement of the fundamental parameters. The techniques developed for this endeavor can also be applied to similar problems such as the determination of the Higgs boson couplings at the LHC.

Dirk Zerwas

2009-09-30T23:59:59.000Z

67

Compilation of Results and Feedback Regarding Turbine Upgrades at Nuclear and Fossil Power Plants  

Science Conference Proceedings (OSTI)

This report compiles results and feedback and draws a number of conclusions and lessons learned regarding steam turbine generator upgrades at nuclear and fossil power plants.

2008-11-24T23:59:59.000Z

68

Personalised time-dependent learning  

Science Conference Proceedings (OSTI)

Time-dependent instruction appears to shape next-generation learning systems, where the value of instruction is as important as the time it takes to learn. The ability to grasp the exact knowledge required to accomplish a specific task, in the ... Keywords: adaptive learning, authoring tools, knowledge management, learning granularity, learning objects, learning resources, learning technology, learning web, ontology, personalised learning, semantic web, time constraints, time-dependent learning, timeliness

R. Benlamri; Y. Atif; J. Berri

2009-04-01T23:59:59.000Z

69

Nuclear Plant Design and Modification Guidelines for PWR Steam Generator Reliability  

Science Conference Proceedings (OSTI)

Operating and maintenance experience relative to PWR steam generator reliability has produced a variety of "lessons learned." This information has been incorporated in a series of guidelines to aid utilities in major plant modifications and new plant construction.

1991-09-25T23:59:59.000Z

70

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

71

Learning classifier systems  

Science Conference Proceedings (OSTI)

This tutorial gives an introduction to Learning Classifier Systems focusing on the Michigan-Style type and XCS in particular. The objective is to introduce (1) where LCSs come from, (2) how LCSs generally work, (3) which different systems exist, (4) ... Keywords: adaptive systems, cognitive systems, datamining, function approximation, genetic algorithms, learning classifier systems, machine learning, regression, reinforcement learning

Martin V. Butz

2010-07-01T23:59:59.000Z

72

Photon Source Parameters  

NLE Websites -- All DOE Office Websites (Extended Search)

Photon Source Parameters Photon Source Parameters Photon Source Parameters Print Summary Graph of Brightness Curves for All Insertion Devices Insertion Device and Bend Magnet Parameters Bend Magnet Superbend Magnet U30 Undulator U50 Undulator U80 Undulator U100 Undulator W114 Wiggler The ALS has six elliptically polarizing undulators, two in straight 4, two in straight 11, and one each in straights 6 and 7. All are arranged with chicanes so that two such devices can be installed to feed two independent beamlines. They can be used in a variety of polarization modes, including circular, elliptical, horizontal, and vertical. These modes can be chosen by appropriate phasing of the magnet rows. The brightness and flux curves below are shown for horizontal and circular polarization. Curves for elliptical and vertical polarization are similar to the horizontal polarization curve, but the minimum photon energy is higher.

73

$?$ condensation and physical parameters  

E-Print Network (OSTI)

Recently we showed how a non-local Nambu-Jona-Lasinio model comes out from QCD in the low-energy limit. In this way, it is possible to fix all the free parameters of the model with physical ones. We use this approach to derive a local limit to the Nambu-Jona-Lasinio model with the parameters those obtained from QCD in order to fix the physical parameters of $\\rho$ condensation. $\\rho$ condensation is a consequence of the highly non-trivial behavior of the QCD vacuum in presence a very strong magnetic field giving rising to superconductive behavior in quark matter. Determination of the proper parameters for this state can be an important helpful guide to identify it experimentally.

Marco Frasca

2013-09-16T23:59:59.000Z

74

Parameters of Ceramicrete Binders  

Table 1. Parameters of Ceramicrete Binder . Property Range of values Remarks . Density of binders 1.7-2.0 g/cc May be enhanced or reduced by selecting ...

75

Process Parameters and Controls  

Science Conference Proceedings (OSTI)

Figure: ...Fig. 15 Effect of alloy and process parameters on the generation of residual-stress states. v , shot velocity; p , peening pressure; t , peening time; d , ball diameter; HV s , ball hardness; HV w , workpiece hardness. Source: Ref 11...

76

Reassessment of safeguards parameters  

Science Conference Proceedings (OSTI)

The International Atomic Energy Agency is reassessing the timeliness and goal quantity parameters that are used in defining safeguards approaches. This study reviews technology developments since the parameters were established in the 1970s and concludes that there is no reason to relax goal quantity or conversion time for reactor-grade plutonium relative to weapons-grade plutonium. For low-enriched uranium, especially in countries with advanced enrichment capability there may be an incentive to shorten the detection time.

Hakkila, E.A.; Richter, J.L.; Mullen, M.F.

1994-07-01T23:59:59.000Z

77

Frozen plants  

NLE Websites -- All DOE Office Websites (Extended Search)

Frozen plants Frozen plants Name: janicehu Status: N/A Age: N/A Location: N/A Country: N/A Date: Around 1993 Question: Why do some plants freeze and others do not? Replies: The main reason some plants freeze and others do not is that some plants do not have much water in them. Pine tree leaves have little water and are therefore difficult to freeze. Another reason is that some plants make chemicals to put into their fluids that reduce the freezing temperature. Salts and oils are some. The polyunsaturated fats found in many plants freeze at a lower temperature than the saturated fats found in many animals. Therefore plant fats are liquid (oils) at room temperature, and animal fats are solid. Plants could not use so many saturated fats as warm blooded animals do or they would freeze up solid at higher temperatures. I know little of plants but many animals can make ethylene glycol to keep themselves from freezing. Ethylene glycol is the active ingredient in car anti-freeze

78

Phytochromes in photosynthetically competent plants  

DOE Green Energy (OSTI)

Plants utilize light as a source of information in photomorphogenesis and of free energy in photosynthesis, two processes that are interrelated in that the former serves to increase the efficiency with which plants can perform the latter. Only one pigment involved in photomorphogenesis has been identified unequivocally, namely phytochrome. The thrust of this proposal is to investigate this pigment and its mode(s) of action in photosynthetically competent plants. Our long term objective is to characterize phytochrome and its functions in photosynthetically competent plants from molecular, biochemical and cellular perspectives. It is anticipated that others will continue to contribute indirectly to these efforts at the physiological level. The ultimate goal will be to develop this information from a comparative perspective in order to learn whether the different phytochromes have significantly different physicochemical properties, whether they fulfill independent functions and if so what these different functions are, and how each of the different phytochromes acts at primary molecular and cellular levels.

Pratt, L.H.

1990-07-01T23:59:59.000Z

79

Parameter estimation for ridge detection in images with thin structures  

Science Conference Proceedings (OSTI)

This paper presents an analysis of four ridge detectors in images with thin structures: plant root images and retinal images. Two proposed detectors and two detectors from the literature are used. We estimate the optimal parameters for each detector ... Keywords: parameter estimation, ridge detection

Talita Perciano; Roberto Hirata, Jr.; Lúcio André De Castro Jorge

2010-11-01T23:59:59.000Z

80

Carnivorous Plants  

NLE Websites -- All DOE Office Websites (Extended Search)

Carnivorous Plants Carnivorous Plants Nature Bulletin No. 597-A March 27, 1976 Forest Preserve District of Cook County George W. Dunne, President Roland F. Eisenbeis, Supt. of Conservation CARNIVOROUS PLANTS Plants, generally, are eaten by insects or furnish other food for them. But there are a few families of strange plants that, instead, "eat" insects and other small animals. About 500 species are distributed over the world, from the arctic to the tropics. Most of them have peculiar leaves that not only attract insects but are equipped to trap and kill their victims. Even more remarkable is the fact that some have glands which secrete a digestive juice that softens and decomposes the animal until it is absorbed by the plant in much the same way as your stomach digests food.

Note: This page contains sample records for the topic "learning parameters plants" 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

Photon Source Parameters  

NLE Websites -- All DOE Office Websites (Extended Search)

Photon Source Parameters Print Photon Source Parameters Print Summary Graph of Brightness Curves for All Insertion Devices Insertion Device and Bend Magnet Parameters Bend Magnet Superbend Magnet U30 Undulator U50 Undulator U80 Undulator U100 Undulator W114 Wiggler The ALS has six elliptically polarizing undulators, two in straight 4, two in straight 11, and one each in straights 6 and 7. All are arranged with chicanes so that two such devices can be installed to feed two independent beamlines. They can be used in a variety of polarization modes, including circular, elliptical, horizontal, and vertical. These modes can be chosen by appropriate phasing of the magnet rows. The brightness and flux curves below are shown for horizontal and circular polarization. Curves for elliptical and vertical polarization are similar to the horizontal polarization curve, but the minimum photon energy is higher.

82

Photon Source Parameters  

NLE Websites -- All DOE Office Websites (Extended Search)

Photon Source Parameters Print Photon Source Parameters Print Summary Graph of Brightness Curves for All Insertion Devices Insertion Device and Bend Magnet Parameters Bend Magnet Superbend Magnet U30 Undulator U50 Undulator U80 Undulator U100 Undulator W114 Wiggler The ALS has six elliptically polarizing undulators, two in straight 4, two in straight 11, and one each in straights 6 and 7. All are arranged with chicanes so that two such devices can be installed to feed two independent beamlines. They can be used in a variety of polarization modes, including circular, elliptical, horizontal, and vertical. These modes can be chosen by appropriate phasing of the magnet rows. The brightness and flux curves below are shown for horizontal and circular polarization. Curves for elliptical and vertical polarization are similar to the horizontal polarization curve, but the minimum photon energy is higher.

83

Photon Source Parameters  

NLE Websites -- All DOE Office Websites (Extended Search)

Photon Source Parameters Print Photon Source Parameters Print Summary Graph of Brightness Curves for All Insertion Devices Insertion Device and Bend Magnet Parameters Bend Magnet Superbend Magnet U30 Undulator U50 Undulator U80 Undulator U100 Undulator W114 Wiggler The ALS has six elliptically polarizing undulators, two in straight 4, two in straight 11, and one each in straights 6 and 7. All are arranged with chicanes so that two such devices can be installed to feed two independent beamlines. They can be used in a variety of polarization modes, including circular, elliptical, horizontal, and vertical. These modes can be chosen by appropriate phasing of the magnet rows. The brightness and flux curves below are shown for horizontal and circular polarization. Curves for elliptical and vertical polarization are similar to the horizontal polarization curve, but the minimum photon energy is higher.

84

Photon Source Parameters  

NLE Websites -- All DOE Office Websites (Extended Search)

Photon Source Parameters Print Photon Source Parameters Print Summary Graph of Brightness Curves for All Insertion Devices Insertion Device and Bend Magnet Parameters Bend Magnet Superbend Magnet U30 Undulator U50 Undulator U80 Undulator U100 Undulator W114 Wiggler The ALS has six elliptically polarizing undulators, two in straight 4, two in straight 11, and one each in straights 6 and 7. All are arranged with chicanes so that two such devices can be installed to feed two independent beamlines. They can be used in a variety of polarization modes, including circular, elliptical, horizontal, and vertical. These modes can be chosen by appropriate phasing of the magnet rows. The brightness and flux curves below are shown for horizontal and circular polarization. Curves for elliptical and vertical polarization are similar to the horizontal polarization curve, but the minimum photon energy is higher.

85

What can I do with this degree? PLANT BIOLOGY  

E-Print Network (OSTI)

, the Smithsonian Institution, and Environ- mental Protection Agency State agencies Ecological consulting companies consulting companies Federal, state and local government agencies Environmental and biotechnical regulatory agencies Applied Plant Science, Continued Learn federal, state and local government job application process

Escher, Christine

86

Engineering Fundamentals - Nuclear Power Plant Materials, Version 2.0  

Science Conference Proceedings (OSTI)

The Engineering Fundamentals - Nuclear Power Plant Materials (EF-Materials) Version 2.0 computer-based training module provides new-hire engineering personnel with an overview of the basic concepts of nuclear power plant materials. Graphics and interactive features are used to enhance learning.EF-Materials covers the basic terms and concepts related to nuclear power plant materials and provides information about the significance of material degradation issues in nuclear power plants. ...

2012-11-30T23:59:59.000Z

87

Can e-learning replace classroom learning?  

Science Conference Proceedings (OSTI)

In an e-learning environment that emphasizes learner-centered activity and system interactivity, remote learners can outperform traditional classroom students.

Dongsong Zhang; J. Leon Zhao; Lina Zhou; Jay F. Nunamaker, Jr.

2004-05-01T23:59:59.000Z

88

Hydrometallurgical Plant Design Parameters for the Avalon Rare ...  

Science Conference Proceedings (OSTI)

Characterization of Indonesia Rare Earth Minerals and their Potential Processing Techniques · Characterization of Rare Earth Minerals with Field Emission ...

89

Thermal Efficiency Optimization for Industrial Power Plants Under Load Fluctuations Using Fuzzy Logic  

E-Print Network (OSTI)

The automation of the control to a power plant is indeed a challenge mainly because of the occurrences of random and unpredictable variations in output demands as well as because of highly non-linear behavior of the system itself. It is sometimes argued that the 'best' control for a power plant is the operators themselves. Experienced operators are capable of making decisions on the basis of incomplete and imprecise information. The extent to which these decisions are correct is a matter of speculation. Erroneous conclusions, established post facto, are chalked up to the learning process and in fact, contribute to the forming of a good, experienced control team. The need to automate the control process for a plant is even more acutely felt when considering the complexity of the plants themselves and the volume of data that would have to be processed before a control decision can be taken. Factored into this decision would also be several governing parameters such as costs, reliability, other constraints and their interdependency, as well as planned and unscheduled outages for maintenance and so on. In this paper, however, only one facet of a power plant operation is considered. It is intended to demonstrate that thermal efficiency may be improved by better techniques for automated control of throttle valves in the steam turbine of the plant. One of these options, fuzzy logic, is selected, and defended, as being the more effective than current approaches. A comparative analysis is conducted of control methods for plant operations followed by a brief overview of fuzzy control and its application to control of non-linear systems. A method of applying this 'new' computer-based technique to control of non-linear, somewhat erratic plants is presented and discussed.

Steffenhagan, W.; de Sam Lazaro, A.

1995-04-01T23:59:59.000Z

90

Maintaining plant safety margins  

SciTech Connect

The Final Safety Analysis Report Forms the basis of demonstrating that the plant can operate safely and meet all applicable acceptance criteria. In order to assure that this continues through each operating cycle, the safety analysis is reexamined for each reload core. Operating limits are set for each reload core to assure that safety limits and applicable acceptance criteria are not exceeded for postulated events within the design basis. These operating limits form the basis for plant operation, providing barriers on various measurable parameters. The barriers are refereed to as limiting conditions for operation (LCO). The operating limits, being influenced by many factors, can change significantly from cycle to cycle. In order to be successful in demonstrating safe operation for each reload core (with adequate operating margin), it is necessary to continue to focus on ways to maintain/improve existing safety margins. Existing safety margins are a function of the plant type (boiling water reactor/pressurized water reactor (BWR/PWR)), nuclear system supply (NSSS) vendor, operating license date, core design features, plant design features, licensing history, and analytical methods used in the safety analysis. This paper summarizes the experience at Yankee Atomic Electric Company (YAEC) in its efforts to provide adequate operating margin for the plants that it supports.

Bergeron, P.A.

1989-01-01T23:59:59.000Z

91

Socially guided machine learning  

E-Print Network (OSTI)

Social interaction will be key to enabling robots and machines in general to learn new tasks from ordinary people (not experts in robotics or machine learning). Everyday people who need to teach their machines new things ...

Thomaz, Andrea Lockerd

2006-01-01T23:59:59.000Z

92

Supporting collaboration, enhancing learning  

Science Conference Proceedings (OSTI)

It is broadly admitted that collaboration can facilitate and augment learning in many ways. Accordingly, collaborative learning models, tools and technologies should receive increasing attention. Aiming at further contributing to this directive, this ...

Nikos Karacapilidis

2011-07-01T23:59:59.000Z

93

Relational sequence learning  

Science Conference Proceedings (OSTI)

Sequential behavior and sequence learning are essential to intelligence. Often the elements of sequences exhibit an internal structure that can elegantly be represented using relational atoms. Applying traditional sequential learning techniques to such ...

Kristian Kersting; Luc De Raedt; Bernd Gutmann; Andreas Karwath; Niels Landwehr

2008-01-01T23:59:59.000Z

94

BNL | ATF Beamline Parameters  

NLE Websites -- All DOE Office Websites (Extended Search)

Beamline Parameters Beamline Parameters Electron beam energy: 25 to 76 MeV Temporal structure: Macropulse length: 3 microseconds Macropulse repetition rate from under 1 PPS to 3 PPS. Micropulse repetition period 12.25 ns or 24.5 ns. Micropulse length variable from about 1 ps FWHM to 10 ps FWHM. Electron beam charge: continuously variable. Single micropulse charge from zero to a few nanoculombs. Bunch train charge up to about 10 nanoculombs. Emittance: depends on various conditions, e.g. peak current, gun field, microbunch length etc. At 1 nC we have measured the emittance at 2.6 mm mrad (rms normalized) at a bunch length of 10 ps FWHM. The local emittance (Slice Emittance) is smaller, measured 1.4 mm mrad for a slice out of the 1 nC bunch. Stability: (approx.) 1 ps in short term phase, 1% of beam diameter

95

Mobile learning challenges and potentials  

Science Conference Proceedings (OSTI)

The transition to an information society and the therewith strongly related need of lifelong and life-wide learning on the one hand, and the increasing coverage of and developments in mobile information and communication technology on the other hand ... Keywords: ICT, barriers, benefits, challenges, definitions, e-learning, lifelong learning, m-learning applications, m-learning initiatives, mobile education, mobile learning, online learning, problems, ubiquitous learning

Michaela Denk; Michael Weber; Roland Belfin

2007-03-01T23:59:59.000Z

96

ATLAS parameter study  

DOE Green Energy (OSTI)

The purpose of this study is to make an independent assessment on the parameters chosen for the ATLAS capacitor bank at LANL. The contractor will perform a study of the basic pulsed power parameters of the ATLAS device with baseline functional parameters of >25 MA implosion current and <2.5 microsecond current risetime. Nominal circuit parameters held fixed will be the 14 nH from the vacuum interface to the load, and the nominal load impedances of 1 milliohm for slow loads and 10 milliohms for fast loads. Single Ended designs, as opposed to bipolar designs, will be studied in detail. The ATLAS pulsed power design problem is about inductance. The reason that a 36 MJ bank is required is that such a bank has enough individual capacitors so that the parallel inductance is acceptably low. Since about half the inductance is in the bank, and the inductance and time constant of the submodules is fixed, the variation of output with a given parameter will generally be a weak one. In general, the dl/dt calculation demonstrates that for the real system inductances, 700 kV is the optimum voltage for the bank to drive X-ray loads. The optimum is broad, and there is little reduction in performance at voltages as low as 450 kV. The direct drive velocity analysis also shows that the optimum velocity is between 480 and 800 kV for a variety of assumptions, and that there is less than a 10% variation in velocity over this range. Voltages in the 120 kV--600 kV range are desirable for driving heavy liners. A compromise optimum operating point might be 480 kV, at which all X-ray operation scenarios are within 10% of their velocity optimum, and heavy liners can be configured to be near optimum if small enough. Based on very preliminary studies the author believes that the choice of a single operating voltage point (say, 480 kV) is unnecessary, and that a bank engineered for dual operation at 480 and 240 kV will be the best solution to the ATLAS problem.

Adler, R.J. [North Star Research Corp., Albuquerque, NM (United States)

1994-09-03T23:59:59.000Z

97

Plant-Wide Assessment Report for Shaw Industries, Plant #78; Aiken, SC  

Science Conference Proceedings (OSTI)

A plant-wide energy assessment sponsored by the U.S. Department of Energy was conducted at Shaw Industries Group, plant #78 in Aiken, SC. The assessment team consisted of Georgia Tech faculty from the Energy & Environmental Management Center and Shaw personnel from plant #78 and the corporate energy group. The purpose of this assessment was to uncover as many opportunities for saving energy usage and costs using techniques that have been established as best practices in the energy engineering field. In addition, these findings are to be shared with similar plants in Shaw Industries Group to multiply the lessons learned. The findings from this assessment are included in this report.

Michael Brown PE, CEM; Matt Soderlund; Bill Meffert PE; Paolo Baldisserotto; Jerry Zolkowski PE, CEM

2006-04-10T23:59:59.000Z

98

Constraints on cosmological parameters  

E-Print Network (OSTI)

A cosmological model with total density close to critical (and flat geometry), dominated by dark matter and dark energy of unknown nature, and consistent with the basic predictions of the inflationary scenario is a very good fit to a variety of cosmological probes: the anisotropy of the CMB, the large scale distribution of matter, the luminosity distance of high-redshift type Ia supernovae and so on. These high-quality data have established a new standard of precision in the determination of cosmological parameters. CMB and Physics of the Early universe

Amedeo Balbi; Amedeo Balbi

2006-01-01T23:59:59.000Z

99

Groundwater Monitoring Guidance for Nuclear Power Plants  

Science Conference Proceedings (OSTI)

Recent experience has shown that the initial design of nuclear power plant groundwater characterization programs can have a significant impact upon the resources needed to demonstrate regulatory compliance. This document provides technical experience and lessons learned in designing an optimized groundwater investigation program.

2005-09-06T23:59:59.000Z

100

Monticello Lead Plant License Renewal Project Summary Report  

Science Conference Proceedings (OSTI)

This report summarizes license renewal evaluation activities from the Monticello Lead Plant License Renewal Project (MLP Project) that were conducted between October 1988 and December 1992. The lessons learned during this first plant-specific license renewal evaluation provide valuable information that utilities can use when initiating a license renewal effort.

1996-10-06T23:59:59.000Z

Note: This page contains sample records for the topic "learning parameters plants" 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

Operation and Maintenance Experiences of Pumped-Storage Plants  

Science Conference Proceedings (OSTI)

Owners, operators, and designers of hydroelectric pumped-storage plants now have access to the combined operation and maintenance (O&M) knowledge of more than 30 operating plants around the world. The lessons learned should maximize the benefits of solutions developed for typical operational problems.

1991-05-13T23:59:59.000Z

102

Spectral Impact of Low-Power Laser Radiation on Wheat and Maize Parameters*  

E-Print Network (OSTI)

and development of plants. The additionally absorbed light energy accelerates plant growth and increases7 4 Spectral Impact of Low-Power Laser Radiation on Wheat and Maize Parameters* St. Dinoev, M density, can be used not only in all spheres of engineering but also in biology and plant growing

Borissova, Daniela

103

Lessons Learned Quarterly Report Cumulative Index | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

& Requirements Lessons Learned Lessons Learned Quarterly Report Cumulative Index Lessons Learned Quarterly Report Cumulative Index Guidance Requirements Lessons...

104

Bog Plants  

NLE Websites -- All DOE Office Websites (Extended Search)

Bog Plants Bog Plants Nature Bulletin No. 385-A June 6, 1970 Forest Preserve District of Cook County George W. Dunne, President Roland F. Eisenbeis, Supt. of Conservation BOG PLANTS Fifty years ago there were probably more different kinds of plants within a 50 mile radius from the Loop than anywhere else in the Temperate Zone. Industrial, commercial and residential developments, plus drainage and fires have erased the habitats where many of the more uncommon kinds flourished, including almost all of the tamarack swamps and quaking bogs. These bogs were a heritage from the last glacier. Its front had advanced in a great curve, from 10 to 20 miles beyond what is now the shoreline of Lake Michigan, before the climate changed and it began to melt back. Apparently the retreat was so rapid that huge blocks of ice were left behind, surrounded by the outwash of boulders, gravel and ground-up rock called "drift". These undrained depressions; became lakes. Sphagnum moss invaded many of them and eventually the thick floating mats of it supported a variety of bog-loving plants including certain shrubs, tamarack, and a small species of birch. Such lakes became bogs.

105

Medicinal Plants  

NLE Websites -- All DOE Office Websites (Extended Search)

Medicinal Plants Medicinal Plants Nature Bulletin No. 187 April 11, 1981 Forest Preserve District of Cook County George W. Dunne, President Roland F. Eisenbeis, Supt. of Conservation MEDICINAL PLANTS In springtime, many years ago, grandma made her family drink gallons of tea made by boiling roots of the sassafras. That was supposed to thin and purify the blood. Children were sent out to gather dandelion, curly dock, wild mustard, pokeberry and other greens as soon as they appeared -- not only because they added welcome variety to the diet of bread, meat, potatoes and gravy, but because some of them were also laxatives. For a bad "cold on the lungs," she slapped a mustard plaster on the patient's back, and on his chest she put a square of red flannel soaked in goose grease. For whooping cough she used a syrup of red clover blossoms. She made cough medicine from the bloodroot plant, and a tea from the compass plant of the prairies was also used for fevers and coughs. She made a pleasant tea from the blossoms of the linden or basswood tree. For stomach aches she used tea from any of several aromatic herbs such as catnip, fennel, yarrow, peppermint, spearmint, sweetflag, wild ginger, bergamot and splice bush.

106

Hupmobile cloud chamber parameters  

SciTech Connect

The accompanying table lists the presently selected parameters for the twelve cloud chambers. The chambers are numbered consecutively from 4 through 15 as they are lined up in the bunker. The lowest number is closest to the source. All except the first chamber have some thin metal filters to attenuate the flux and harden the spectrum. Cloud chambers 10, 12, and 14 are shielded by a collimator with about 200 pinholes in it. The flux in these chambers is attenuated by the ratio of the pinhole area to total beam area which is a factor of 50. Various gases and gas pressures are used to obtain suitable track lengths and interaction cross sections. Neon, argon, and krypton are used to obtain photo electrons. Hydrogen is used to obtain Compton electrons.

Hansen, N. E.

1967-09-28T23:59:59.000Z

107

Electrochromic Glazings: Animation Parameters  

NLE Websites -- All DOE Office Websites (Extended Search)

Glazings Glazings Animation Simulation Parameters The Electrochromic Glazing Office Animation is created using an image compositing method whereby separate images of the office generated with only one source of illumination are added together in variable percentages to come up with the final image. This method assumes that the sources of illumination do not change position through the animation sequence. Although the sun does move approximately 5 degrees during the span of this 20 minute animation sequence, because this movement is not the focus of the simulation and does not significantly change the intensity of the solar exposure, it is ignored. This method takes advantage of the principal of the scalability of light to avoid the significant time involved in calculating separate Radiance renderings for each combination of sky condition (direct sun versus no direct sun) and electrochromic glazing transmission.

108

Jennings Demonstration PLant  

DOE Green Energy (OSTI)

Verenium operated a demonstration plant with a capacity to produce 1.4 million gallons of cellulosic ethanol from agricultural resiues for about two years. During this time, the plant was able to evaluate the technical issues in producing ethanol from three different cellulosic feedstocks, sugar cane bagasse, energy cane, and sorghum. The project was intended to develop a better understanding of the operating parameters that would inform a commercial sized operation. Issues related to feedstock variability, use of hydrolytic enzymes, and the viability of fermentative organisms were evaluated. Considerable success was achieved with pretreatment processes and use of enzymes but challenges were encountered with feedstock variability and fermentation systems. Limited amounts of cellulosic ethanol were produced.

Russ Heissner

2010-08-31T23:59:59.000Z

109

Control system for cogenerative power plants  

Science Conference Proceedings (OSTI)

The paper presents a distributed control system for the realization of cogenerative supply of electricity and heat and, in given case, for their combination with waste heat recovery, particularly in combined (gas-steam) cycle industrial power plants. ... Keywords: cogenerative gas power plant, control of distributed parameter systems, distribution management system, electric power systems, optimization, process control, real time systems, simulation

Florin Hartescu

2008-08-01T23:59:59.000Z

110

Trojan Nuclear Power Plant Reactor Vessel and Internals Removal: Trojan Nuclear Plant Decommissioning Experience  

Science Conference Proceedings (OSTI)

One goal of the EPRI Decommissioning Technology Program is to capture the growing utility experience in nuclear plant decommissioning activities for the benefit of other utilities facing similar challenges in the future. This report provides historical information on the background, scope, organization, schedule, cost, contracts, and support activities associated with the Trojan Nuclear Plant Reactor Vessel and Internals Removal (RVAIR) Project. Also discussed are problems, successes, and lessons learned...

2000-10-16T23:59:59.000Z

111

Learning Programs | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Programs Programs Learning Programs Learning Programs Our learning programs help DOE employees grow and develop across a wide range of skills in a variety of disciplines. Training and development activities are designed to help employees fulfill the DOE mission through education, performance improvement and knowledge management. DOE's corporate learning programs address a continuum of knowledge and experience from entry-level to senior executives and represent a major commitment by DOE in its talent development. Whether it is in traditional classroom-learning, online-learning, distance-learning, or blended learning options, we are committed to meeting the Department's talent development goals. Learning Programs Leadership Development Career Development Technical & Professional

112

A personal learning apprentice  

E-Print Network (OSTI)

Abstract requesting certain types of meetings. In order to be Personalized knowledge-based systems have not yet become widespread, despite their potential for valuable assistance in many daily tasks. This is due, in part, to the high cost of developing and maintaining customized knowledge bases. The construction of personal assistants as learning apprentices-- interactive assistants that learn continually from their users-- is one approach which could dramatically reduce the cost of knowledge-based advisors. We present one such personal learning apprentice, called CAP, which assists in managing a meeting calendar. CAP has been used since June 1991 by a secretary in our work place to manage a faculty member’s meeting calendar, and is the first instance of a fielded learning apprentice in routine use. This paper describes the organization of CAP, its performance in initial field tests, and more general lessons learned from this effort about learning apprentice systems.

Lisa Dent; Jesus Boticario; John Mcdermott; Tom Mitchell; David Zabowski

1992-01-01T23:59:59.000Z

113

Development of I&C Strategies for Plant Flexible Operations  

Science Conference Proceedings (OSTI)

Flexible operation of power plants to meet the needs of the power market will become an increasing need with deregulation and competition. Additional revenue streams are available to plants that can provide ancillary services -- and not just traditional power -- for the power system. This report provides a review of instrumentation and control (I&C) strategies for the flexible operation of power plants as applied in the United Kingdom market and documents the lessons learned.

2004-03-12T23:59:59.000Z

114

Empathy in virtual learning environments  

Science Conference Proceedings (OSTI)

How do we engage teachers and learners in the learning process and what are the benefits of this? How do we get students to learn? Many academic institutions of all levels are asking these questions. Throughout the years new teaching methodologies ... Keywords: Second Life, VLEs, e-learning, empathy, engagement, online learning, teaching methodologies, virtual learning environments

Judith Molka-Danielsen; Bryan W. Carter; Alastair Creelman

2009-02-01T23:59:59.000Z

115

Poisonous Plants  

NLE Websites -- All DOE Office Websites (Extended Search)

Plants Plants Nature Bulletin No. 276 October 1, 1983 Forest Preserve District of Cook County George W. Dunne, President Roland F. Eisenbeis, Supt. of Conservation POISONOUS PLANTS In the autumn of 1818, Nancy Hanks Lincoln died of milk sickness and left her son, Abe, motherless before he was ten years old. Since colonial times, in most of the eastern half of the United States, that dreaded disease has been a hazard in summer and fall, wherever cattle graze in woodlands or along wooded stream banks. In the 1920s it was finally traced to white snakeroot -- an erect branched plant, usually about 3 feet tall, with a slender round stem, sharply-toothed nettle-like leaves and, in late summer, several small heads of tiny white flowers. Cows eating small amounts over a long period develop a disease called "trembles", and their milk may bring death to nursing calves or milk sickness to humans. When larger amounts are eaten the cow, herself, may die.

116

National Hydrogen Learning Demonstration  

NLE Websites -- All DOE Office Websites (Extended Search)

Project Wrap-up National Renewable Energy Laboratory 3 Innovation for Our Energy Future Fuel Cell Electric Vehicle Learning Demo Project Objectives, Relevance, and Targets *...

117

User Facilities - Learn More  

NLE Websites -- All DOE Office Websites (Extended Search)

Neutron Source Search by Equipment or Process User Portal Quick Links ORNL home User facility contacts ORNL Guest House Open Helpful Travel Information Learn More User...

118

learn more - TMS  

Science Conference Proceedings (OSTI)

This is demonstrated in impressive learning curves. But, where are the new processes for tomorrow? It is hoped that the attending metallurgist will be able to do ...

119

Nucleic Acid Standards - Refinement Parameters  

NLE Websites -- All DOE Office Websites (Extended Search)

Refinement Parameters Refinement Parameters The DNA/RNA topology and parameter files for X-PLOR are shown below. These were tested with DNA structures and with protein-DNA complexes. X-PLOR topology file X-PLOR parameter files: X-PLOR parameter file For the refinement of high resolution structures (< 1.7 Angstroms) the parameter file with distinct bond distances and bond angles for both C2'-endo and C3'-endo conformations should be considered: X-PLOR parameter file for high resolution structures "New Parameters for the Refinement of Nucleic Acid Containing Structures." Gary Parkinson, Jaroslav Vojtechovsky, Lester Clowney, Axel Brunger*, and Helen M. Berman. (1996) Acta Cryst. D 52, 57-64 Rutgers University, Department of Chemistry, Piscataway, NJ 08855-0939; *The Howard Hughes Medical Institute and Departments of Molecular and

120

Advanced Nuclear Technology: EPRI Utility Requirements Document (URD) Fukushima Lessons-Learned Treatment  

Science Conference Proceedings (OSTI)

The Fukushima accident of March 2011 resulted in critical lessons learned for both current and future nuclear plants. As part of an ongoing review and update of the EPRI Utility Requirements Document (URD) for New Nuclear Plants, a specific review of Fukushima lessons learned was undertaken.This report provides background information on the process for accomplishing the Fukushima review. It also provides the unique changes that were made to the EPRI URD along with specific linkage back ...

2013-12-13T23:59:59.000Z

Note: This page contains sample records for the topic "learning parameters plants" 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

Spatial Data Analysis and Modeling of Radioactively-Contaminated Territories: Lessons Learned from Chernobyl  

E-Print Network (OSTI)

catastrophes in the history of nuclear power. A test designed to assess the reactor's safety margins ­ geostatistics, machine learning algorithms, statistical learning theory, and to discuss some generic problems nuclear power plant in Ukraine on April 26, 1986. This accident appeared to be one of the most serious

122

Subsurface Geotechnical Parameters Report  

Science Conference Proceedings (OSTI)

The Yucca Mountain Project is entering a the license application (LA) stage in its mission to develop the nation's first underground nuclear waste repository. After a number of years of gathering data related to site characterization, including activities ranging from laboratory and site investigations, to numerical modeling of processes associated with conditions to be encountered in the future repository, the Project is realigning its activities towards the License Application preparation. At the current stage, the major efforts are directed at translating the results of scientific investigations into sets of data needed to support the design, and to fulfill the licensing requirements and the repository design activities. This document addresses the program need to address specific technical questions so that an assessment can be made about the suitability and adequacy of data to license and construct a repository at the Yucca Mountain Site. In July 2002, the U.S. Nuclear Regulatory Commission (NRC) published an Integrated Issue Resolution Status Report (NRC 2002). Included in this report were the Repository Design and Thermal-Mechanical Effects (RDTME) Key Technical Issues (KTI). Geotechnical agreements were formulated to resolve a number of KTI subissues, in particular, RDTME KTIs 3.04, 3.05, 3.07, and 3.19 relate to the physical, thermal and mechanical properties of the host rock (NRC 2002, pp. 2.1.1-28, 2.1.7-10 to 2.1.7-21, A-17, A-18, and A-20). The purpose of the Subsurface Geotechnical Parameters Report is to present an accounting of current geotechnical information that will help resolve KTI subissues and some other project needs. The report analyzes and summarizes available qualified geotechnical data. It evaluates the sufficiency and quality of existing data to support engineering design and performance assessment. In addition, the corroborative data obtained from tests performed by a number of research organizations is presented to reinforce conclusions derived from the pool of data gathered within a full QA-controlled domain. An evaluation of the completeness of the current data is provided with respect to the requirements for geotechnical data to support design and performance assessment.

D. Rigby; M. Mrugala; G. Shideler; T. Davidsavor; J. Leem; D. Buesch; Y. Sun; D. Potyondy; M. Christianson

2003-12-17T23:59:59.000Z

123

Summary of Planned Implementation for the HTGR Lessons Learned Applicable to the NGNP  

Science Conference Proceedings (OSTI)

This document presents a reconciliation of the lessons learned during a 2010 comprehensive evaluation of pertinent lessons learned from past and present high temperature gas-cooled reactors that apply to the Next Generation Nuclear Plant Project along with current and planned activities. The data used are from the latest Idaho National Laboratory research and development plans, the conceptual design report from General Atomics, and the pebble bed reactor technology readiness study from AREVA. Only those lessons related to the structures, systems, and components of the Next Generation Nuclear Plant (NGNP), as documented in the recently updated lessons learned report are addressed. These reconciliations are ordered according to plant area, followed by the affected system, subsystem, or component; lesson learned; and finally an NGNP implementation statement. This report (1) provides cross references to the original lessons learned document, (2) describes the lesson learned, (3) provides the current NGNP implementation status with design data needs associated with the lesson learned, (4) identifies the research and development being performed related to the lesson learned, and (5) summarizes with a status of how the lesson learned has been addressed by the NGNP Project.

Ian Mckirdy

2011-09-01T23:59:59.000Z

124

Bagdad Plant  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Bagdad Plant Bagdad Plant 585 Silicon Drive Leechburg, P A 15656 * ATI Allegheny "'I Ludlum e-mail: Raymond.Polinski@ATImetals.com Mr. James Raba U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Building Technologies Program 1000 Independence Avenue SW Washington, DC 205585-0121 Raymond J. Polinski General Manager Grain-Oriented Electrical Steel RE: Distribution Transformers Rulemaking Docket Number EE-2010-STD-0048 RIN 1904-AC04 Submitted 4-10-12 via email Mr. Raba, I was planning to make the following closing comments at the DOE Public Meeting on February 23, 2012, but since the extended building evacuation caused the meeting to run well past the scheduled completion time I decided to submit my comments directly to you for the record.

125

Lessons Learned | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Lessons Learned Lessons Learned Aviation Management Executive Secretariat Energy Reduction at HQ Facilities and Infrastructure Federal Advisory Committee Management Freedom of...

126

DOE Corporate Lessons Learned Database  

NLE Websites -- All DOE Office Websites (Extended Search)

Lessons Learned Database Home About This Site Contact Us Related Links Defense Nuclear Security Lessons Learned Center (DNS-LLC) Corporate Operating Experience Review Program...

127

Optical Learning Chip  

E-Print Network (OSTI)

A novel type of an optical neurochip with learning capability and memory function is reported. The neurochip is a three dimensional optoelectronic integrated circuit consisting of a light emitting diode array and a variable sensitivity photodetector (VSPD) array. The principle of operation and the fundamental characteristics are described. By using the fabricated optical neurochip with 32 neurons and 32\\Theta32 synapses, experiments of on-chip learning based on the backpropagation and Boltzmann machine learning algorithms have successfully been demonstrated. INTRODUCTION Optoelectronics is expected to play an important role in hardware implementation of neural networks because of its innate parallelism, high-density interconnection, and direct image processing abilities [1]. This summary describes an optical learning chip with variable synaptic interconnections developed in our laboratory. This chip enables to perform on-chip learning by using an internal analog memory function. Firs...

Jun Ohta Yoshikazu; Jun Ohta; Yoshikazu Nitta; Kazuo Kyuma

1994-01-01T23:59:59.000Z

128

Learning from Multiple Outlooks  

E-Print Network (OSTI)

We consider semi-supervised learning from multiple outlooks of the same learning task, that is, learning from different representations of the same type of data. As opposed to learning from multiple views where it is assumed that the exact same instances have multiple representations, we only assume the availability of samples of the same learning task in different domains. We develop an algorithmic framework that is based on mapping the (unlabeled) data followed by adjusting the mapping using the scarcer labeled data. The mapped data from all the outlooks can then be used for a generic classification algorithm. We further provide sample complexity results under the assumption that the different outlooks are inherently low dimension Gaussian mixtures. Experiments with real-world data indicate the performance boost from using multiple outlooks.

Gal-on, Maayan

2010-01-01T23:59:59.000Z

129

Fired heater versus CCGT/cogeneration cycle parameters  

Science Conference Proceedings (OSTI)

Initial results are given of a newly designed coal-fired, closed-cycle gas turbine (CCGT) for a cogeneration plant. The coal burning heater is the most costly unit of such a system. The interrelationship between the technical and economic feasibility of the heater and turbine parameters are discussed. 7 refs.

Campbell, J. Jr.; Lee, J.C.

1982-01-01T23:59:59.000Z

130

Multi-parameter bidding method: development of parameters  

E-Print Network (OSTI)

This thesis presents the results of an investigation of multi-parameter bidding for application in the highway construction industry. The major objective of this research is to further develop the multi-parameter bidding method as currently practiced by State Highway Agencies (SHA). The goal is to make this type of bidding more effective in terms of cost, schedule, quality, safety, and other project objectives. The major tasks involved in @s investigation were: 1) determining state-of-the-art through literature review; 2) surveying the highway construction industry for current practices; 3) synthesizing literature and survey results to propose new parameters and innovative use of currently used parameters; 4) evaluating these parameters; and 5) proposing an outline for an integrated approach to multi-parameter bidding. The parameters were evaluated in terms of a number of major criteria: 1) compatibility to low-bid system; 2) impact on SHA resources; 3) impact on product quality; 4) nature, magnitude, and allocation of risks, and 5) administrative and legal elements. The integrated approach to multi-parameter bidding explores the relationship between various other processes and the process for selecting multi-parameter bidding strategy within the project develop ment framework. Preliminary implementation guidelines are provided as part of this integrated approach.

Rahman, Suhel Parvez

1998-01-01T23:59:59.000Z

131

Great Plains ASPEN Model Development: binary interaction parameters and activity coefficient parameters. Final report  

Science Conference Proceedings (OSTI)

The simulation of the various sections of the Great Plains Coal Gasification Plant involves modelling vapor-liquid equilibria and liquid-liquid equilibria that are highly nonideal. The Peng-Robinson equation of state, modified for water, was used in the simulation of most of the process sections. Interaction parameters established by regression of literature data, using ASPEN's DRS system, along with interaction parameter values found in the literature, became the database for the simulation. In two of the sections, the Oxygen Plant and the TEG drying of the product SNG, activity coefficient models were used because they gave a better prediction of the phase equilibrium. For the Rectisol unit, which removes hydrogen sulfide from the gas, parameters available from a DOE sponsored contract, Tristate, were used, after verification, for the ASPEN modified version of the RKS. The phases that were predicted using these parameters were checked against literature data and, in most cases, the liquid mole fractions of carbon dioxide predicted by the correlation were within 10% of those reported. A model that would predict phase equilibrium, based on the ionization of Lewis acids and bases and salts, would have been an ideal choice for simulation of the Stretford and Phosam flowsheets. However, only limited temperature dependent liquid activity coefficients data are available in the literature for the ionic species found in the Stretford and Phosam solutions, from which correlation parameters could be obtained by regression. Also, only the flash model can handle this type of calculation; therefore, it was used only to a limited extent in the simulation of the Stretford Unit Absorber. 118 references.

Stern, S.S.; Millman, M.C.; Kirman, J.J.; Nwogu, D.

1984-12-01T23:59:59.000Z

132

biogas for rural communities TD390 Supervised learning: Study report  

E-Print Network (OSTI)

0 biogas for rural communities TD390 Supervised learning: Study report Vaibhav Nasery Roll No. 08D highly successful rural biogas models wherein biogas is produced and utilized as a cooking fuel by the villagers. The two models studied are the Community Biogas plant established by SUMUL Dairy at Bhintbudrak

Sohoni, Milind

133

Aiken Standard: Japanese company learns management techniques from SRNL |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Aiken Standard: Japanese company learns management techniques from Aiken Standard: Japanese company learns management techniques from SRNL Aiken Standard: Japanese company learns management techniques from SRNL January 21, 2013 - 12:00pm Addthis Savannah River National Laboratory scientist Dave Herman (right) discusses waste management equipment during a visit by Japanese scientists involved in the cleanup at Japan's Fukushima nuclear plant. Savannah River National Laboratory scientist Dave Herman (right) discusses waste management equipment during a visit by Japanese scientists involved in the cleanup at Japan's Fukushima nuclear plant. As representatives from Tokyo Electric Power Company visited Aiken, they discussed the efforts they are making to help remediate the damage caused by the worst nuclear accident since the Chernobyl explosion in April 1986.

134

E-learning grid: an online learning network  

Science Conference Proceedings (OSTI)

Online learning or e-learning is not only an important cost saving measure for corporations to train their staff and customers but it provides the flexibility and opportunities to reach out to a much larger audience. Schools and institutions have been ... Keywords: administration, community network, e-learning, learning, management, sharing

F. H. Choo; K. L. Gay; H. Mir Mohammad Hosseini; C. B. Teo

2007-09-01T23:59:59.000Z

135

PVLV: The Primary Value and Learned Value Pavlovian Learning Algorithm  

E-Print Network (OSTI)

University of Colorado at Boulder The authors present their primary value learned value (PVLV) model robust to variability in the environment. The primary value (PV) system controls performance and learning during primary rewards, whereas the learned value (LV) system learns about conditioned stimuli. The PV

O'Reilly, Randall C.

136

Improving steam turbine-gas turbine plants  

SciTech Connect

Leningrad Polytechnic Institute investigated the main characteristics of combined plants according to their structure, determined by very important parameters. The following parameters were selected: utilization factor (ratio of heat added to the steam-water working medium from the heat of the exhaust gases to the entire amount of heat added to the steam-water working medium) and fuel consumption factor (ratio of heat from fuel added to the steam-water working medium to the entire consumption of heat in the combined plant). It is concluded that steam turbine-gas turbine plants working at comparatively low gas temperatures (about 800/sup 0/C) must be constructed as plants of maximum capacity, i.e., with large steam flows. Gas turbine-steam turbine plants with high-temperature gas turbines operating at a high utilization factor (approaching binary plants) ensure a qualitative rise in efficiency and have high flexibility characteristics. They are the most promising power plants. A long-term plan for development of combined plants on the basis of standard steam turbine and gas turbine equipment, the production of which is planned in the USSR and in Comecon countries, is required. This plan must be closely connected with solution of the problem of using coals for gas turbine plants.

Kirillov, I.I.; Arsen' ev, L.V.; Khodak, E.A.; Romakhova, G.A.

1979-01-01T23:59:59.000Z

137

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

138

Plant Rosettes  

NLE Websites -- All DOE Office Websites (Extended Search)

Rosettes Rosettes Nature Bulletin No. 662 January 13, 1962 Forest Preserve District of Cook County John J. Duffy, President David H. Thompson, Senior Naturalist PLANT ROSETTES In winter our landscape is mostly leafless trees silhouetted against the sky, and the dead stalks of wildflowers, weeds and tall grasses -- with or without a blanket of snow. Some snows lie on the ground for only a few days. Others follow one after another and cover the ground with white for weeks at a time. Soon the eye begins to hunger for a glimpse of something green and growing. Then, in sunny spots where the snow has melted or where youngsters have cleared it away, there appear clusters of fresh green leaves pressed tight to the soil. Whether it is a dandelion in the lawn, a pansy in a flower border, or a thistle in a vacant lot, such a typical leaf cluster -- called a winter rosette -- is a ring of leaves around a short central stem. The leaves are narrow at the base, wider toward the tip, and spread flat on the ground with little or no overlap. This arrangement gives full exposure to sunlight and close contact with the warmer soil beneath. Such plants continue to grow, sometimes faster, sometimes slower, even under snow, throughout winter.

139

Lessons Learned Quarterly Report, March 2000 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Lessons Learned Quarterly Report, March 2000 Lessons Learned Quarterly Report, March 2000 Lessons Learned Quarterly Report, March 2000 Welcome to the 22nd Quarterly Report on lessons learned in the NEPA process. Articles in this issue include: Hanford Comprehensive Land-Use Plan EIS Helps DOE Preserve Unique Resources DOE Inspector General Report Questions Categorical Exclusion Application DOE Decides Disposition of Surplus Plutonium Interview with New NEPA Director at CEQ Transitions DOE Issues Decisions on Low-level and Mixed Low-level Waste Waste Isolation Pilot Plant's 25-Year History Considering Essential Fish Habitat in NEPA Reviews NEPA Guidance Updates Web Site of Interest DOE-wide NEPA Contracts Update Training Opportunities DOE Litigation Updates Other NEPA Cases EAs and EISs Completed This Quarter

140

Designing geothermal power plants to avoid reinventing the corrosion wheel  

DOE Green Energy (OSTI)

This paper addresses how designers can take into account, the necessary chemical and materials precautions that other geothermal power plants have learned. Current worldwide geothermal power plant capacity is presented as well as a comparison of steam composition from seven different geothermal resources throughout the world. The similarities of corrosion impacts to areas of the power plants are discussed and include the turbines, gas extraction system, heat rejection system, electrical/electronic systems, and structures. Materials problems and solutions in these corrosion impact areas are identified and discussed. A geothermal power plant design team organization is identified and the efficacy of a new corrosion/materials engineering position is proposed.

Conover, Marshall F.

1982-10-08T23:59:59.000Z

Note: This page contains sample records for the topic "learning parameters plants" 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

Model-free control based on reinforcement learning for a wastewater treatment problem  

Science Conference Proceedings (OSTI)

This article presents a proposal, based on the model-free learning control (MFLC) approach, for the control of the advanced oxidation process in wastewater plants. This is prompted by the fact that many organic pollutants in industrial wastewaters are ... Keywords: Intelligent control, Oxidation-reduction potential, Wastewater treatment plants

S. Syafiie; F. Tadeo; E. Martinez; T. Alvarez

2011-01-01T23:59:59.000Z

142

Brain emotional learning based intelligent controller applied to neurofuzzy model of micro-heat exchanger  

Science Conference Proceedings (OSTI)

In this paper, an intelligent controller is applied to govern the dynamics of electrically heated micro-heat exchanger plant. First, the dynamics of the micro-heat exchanger, which acts as a nonlinear plant, is identified using a neurofuzzy network. ... Keywords: Emotion based learning, Heat exchanger, Intelligent control, Locally linear models, Neurofuzzy models, Nonlinear system identification

Hossein Rouhani; Mahdi Jalili; Babak N. Araabi; Wolfgang Eppler; Caro Lucas

2007-04-01T23:59:59.000Z

143

Learning meets verification  

Science Conference Proceedings (OSTI)

In this paper, we give an overview on some algorithms for learning automata. Starting with Biermann's and Angluin's algorithms, we describe some of the extensions catering for specialized or richer classes of automata. Furthermore, we survey their recent ...

Martin Leucker

2006-11-01T23:59:59.000Z

144

Computers for Learning  

Energy.gov (U.S. Department of Energy (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...

145

Learning About Magnets!  

NLE Websites -- All DOE Office Websites (Extended Search)

the National High Magnetic Field Laboratory Learning About Name A magnet is a material or object that creates a magnetic fi eld. This fi eld is invisible, but it creates a force...

146

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

147

Kirkpatrick's Learning Evaluation Model  

Energy.gov (U.S. Department of Energy (DOE))

One of the core principles of training evaluation is the model based on four sequential levels that was developed by Donald Kirkpatrick. The levels, 1) Reaction, 2) Learning, 3) Behavior, and 4)...

148

Compliant mechanism learning toolkit  

E-Print Network (OSTI)

This thesis concerns a toolkit designed to assist in learning the behavior of complaint mechanisms. In the design of complaint mechanisms, increasingly complicated designs behave in ways that are harder to intuitively ...

Allard, Nicholas (Nicholas A.)

2006-01-01T23:59:59.000Z

149

Genetic algorithm based k-means fast learning artificial neural network  

Science Conference Proceedings (OSTI)

The K-means Fast Learning Artificial Neural Network (KFLANN) is a small neural network bearing two types of parameters, the tolerance, ? and the vigilance, ? In previous papers, it was shown that the KFLANN was capable of fast ...

Yin Xiang; Alex Tay Leng Phuan

2004-12-01T23:59:59.000Z

150

Median statistics cosmological parameter values  

E-Print Network (OSTI)

We present median statistics central values and ranges for 12 cosmological parameters, using 582 measurements (published during 1990-2010) collected by Croft & Dailey (2011). On comparing to the recent Planck collaboration Ade et al. 2013 estimates of 11 of these parameters, we find good consistency in nine cases.

Crandall, Sara

2013-01-01T23:59:59.000Z

151

Advanced nuclear plant control complex  

DOE Patents (OSTI)

An advanced control room complex for a nuclear power plant, including a discrete indicator and alarm system (72) which is nuclear qualified for rapid response to changes in plant parameters and a component control system (64) which together provide a discrete monitoring and control capability at a panel (14-22, 26, 28) in the control room (10). A separate data processing system (70), which need not be nuclear qualified, provides integrated and overview information to the control room and to each panel, through CRTs (84) and a large, overhead integrated process status overview board (24). The discrete indicator and alarm system (72) and the data processing system (70) receive inputs from common plant sensors and validate the sensor outputs to arrive at a representative value of the parameter for use by the operator during both normal and accident conditions, thereby avoiding the need for him to assimilate data from each sensor individually. The integrated process status board (24) is at the apex of an information hierarchy that extends through four levels and provides access at each panel to the full display hierarchy. The control room panels are preferably of a modular construction, permitting the definition of inputs and outputs, the man machine interface, and the plant specific algorithms, to proceed in parallel with the fabrication of the panels, the installation of the equipment and the generic testing thereof.

Scarola, Kenneth (Windsor, CT); Jamison, David S. (Windsor, CT); Manazir, Richard M. (North Canton, CT); Rescorl, Robert L. (Vernon, CT); Harmon, Daryl L. (Enfield, CT)

1993-01-01T23:59:59.000Z

152

Parameters  

NLE Websites -- All DOE Office Websites (Extended Search)

difference between a loop in a structural template and its aligned (loop) region in the query sequence. The open gap penalty is 10.8 and each elongation penalty is 0.6 by default....

153

PlantView Report Library & Component Assessment Module, 2.119.001  

Science Conference Proceedings (OSTI)

PlantViewis a web-based content and learning management system developed to support the day-to-day activities of a utility company. It provides a common format for entering and maintaining operations, maintenance, and engineering data. It also provides a single platform for E-learning content management, training completions, supervisory reports, and online reference. Software enhancements are being continually implemented in PlantViewto improve data visualization, navigation, and module integration. Sup...

2011-11-07T23:59:59.000Z

154

PlantView Automated Training Manager (ATM) Module 2.119.001  

Science Conference Proceedings (OSTI)

PlantViewis a web-based content and learning management system developed to support the day-to-day activities of a utility company. It provides a common format for entering and maintaining operations, maintenance, and engineering data. It also provides a single platform for E-learning content management, training completions, supervisory reports, and online reference. Software enhancements are being continually implemented in PlantViewto improve data visualization, navigation, and module integration. Sup...

2011-11-07T23:59:59.000Z

155

Application of Learning Fuzzy Inference Systems in Electricity Load Forecast  

E-Print Network (OSTI)

This paper highlights the results and applied techniques for the electricity load forecast competition organised by the European Network on Intelligent Technologies for Smart Adaptive Systems (www.eunite.org). The electricity load forecast problem is tackled in two di#erent stages by creating two di#erent models. The first model will predict the temperature and the second model uses the predicted temperature to forecast the maximum electricity load. For both model, learning fuzzy inference systems are applied. Initial fuzzy rules are generated and then the numerical data provided by Eastern Slovakian Electricity Corporation are used to learn the parameters of the learning fuzzy inference systems. The learning technique is applied for both temperature and load forecast.

Ahamd Lotfi

2001-01-01T23:59:59.000Z

156

Personalized mobile English vocabulary learning system based on item response theory and learning memory cycle  

Science Conference Proceedings (OSTI)

Since learning English is very popular in non-English speaking countries, developing modern assisted-learning tools that support effective English learning is a critical issue in the English-language education field. Learning English involves memorization ... Keywords: English vocabulary learning, Item response theory, Learning memory cycle, Mobile learning, Personalized learning

Chih-Ming Chen; Ching-Ju Chung

2008-09-01T23:59:59.000Z

157

CoalFleet Guideline for Advanced Pulverized Coal Power Plants  

Science Conference Proceedings (OSTI)

The CoalFleet Guideline for Advanced Pulverized Coal Power Plants provides an overview of state-of-the art and emerging technologies for pulverized coal-fired generating units along with lessons learned for current plants worldwide. The Guideline aims to facilitate the timely deployment of reliable, next-generation generating units that incorporate: Higher steam conditions for higher efficiency and reduced generation of pollutants Advanced environmental controls for reduced emissions and environmental im...

2007-03-30T23:59:59.000Z

158

Exceeding Expectations: Learnings from the FCV Learning Demo (Presentation)  

DOE Green Energy (OSTI)

This presentation summarizes findings of the fuel cell vehicle learning demonstration of the Fuel Cell Technologies Program.

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

2010-05-05T23:59:59.000Z

159

Long-day plants  

NLE Websites -- All DOE Office Websites (Extended Search)

Long-day plants Name: Ryan S Martin Status: NA Age: NA Location: NA Country: NA Date: NA Question: What are long-day plants? Replies: Long-day plants are those that require a...

160

DIRECT FUEL CELL/TURBINE POWER PLANT  

SciTech Connect

The subMW hybrid DFC/T power plant facility was upgraded with a Capstone C60 microturbine and a state-of-the-art full size fuel cell stack. The integration of the larger microturbine extended the capability of the hybrid power plant to operate at high power ratings with a single gas turbine without the need for supplementary air. The objectives of this phase of subMW hybrid power plant tests are to support the development of process and control and to provide the insight for the design of the packaged subMW hybrid demonstration units. The development of the ultra high efficiency multi-MW power plants was focused on the design of 40 MW power plants with efficiencies approaching 75% (LHV of natural gas). The design efforts included thermodynamic cycle analysis of key gas turbine parameters such as compression ratio.

Hossein Ghezel-Ayagh

2003-05-27T23:59:59.000Z

Note: This page contains sample records for the topic "learning parameters plants" 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

Continual Learning | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Continual Learning Continual Learning Continual Learning Continual Learning Workshops Continual Learning is a change initiative which is used to help develop and grow a learning culture within DOE. The purpose of Continual Learning is to improve the professional development of our federal workforce. In an effort to support this initiative, HC-20 offers 3 instructional workshops, located under additional information, to assist employees and supervisors with employee development. These workshops are full of helpful tips and tricks for identifying low cost/no cost training, creating a high-quality IDP and assist supervisors with their responsibilities with employee development. Employees and supervisor are encouraged to attend these workshops and let us (HC-20) help you as we promote a learning

162

Gasification Plant Databases  

NLE Websites -- All DOE Office Websites (Extended Search)

Gasification Systems Gasification Plant Databases Welcome to the U. S. Department of Energy, National Energy Technology Laboratory's Gasification Plant Databases Within these...

163

Research on operating parameters and energy consumption of cold store based on rough set theory  

Science Conference Proceedings (OSTI)

Rough set theory is applied to analyze the energy consumption of an industrial cold storage facility for the first time. The features of rough set theory in data extraction are analyzed. The operating parameters collected in a sample refrigerating plant ... Keywords: cold store, energy consumption, operating parameters, rough set

Jianyi Zhang; Ying Xu; Fei Chen

2009-08-01T23:59:59.000Z

164

Parameters Affecting Water Hammer Wave Attenuation, Shape by Anton Bergant1  

E-Print Network (OSTI)

(hydroelectric power plant, pumping system) and damage the system components; for example pipe displacementParameters Affecting Water Hammer Wave Attenuation, Shape and Timing by Anton Bergant1 and Arris.s.tijsseling@TUE.nl This paper investigates parameters that may affect water hammer wave attenuation, shape and timing. Possible

Eindhoven, Technische Universiteit

165

Some recent applications of distributed parameter systems theory-A survey  

Science Conference Proceedings (OSTI)

A survey of some recent applications of distributed parameter systems theory is presented. The practical areas discussed range from process control problems in an industrial plant to the identification, monitoring and control of air and water quality ... Keywords: Applications, control, distributed parameter systems, identification, optimal design, state estimation

W. H. Ray

1978-05-01T23:59:59.000Z

166

Energy Efficiency Learning Activity | Open Energy Information  

Open Energy Info (EERE)

Training materials User Interface: Website Website: learn.kidwind.orgsitesdefaultfilesenergyefficiency.pdf Cost: Free Language: English Logo: Energy Efficiency Learning...

167

EPRI-SQUG Damage-Indicating Parameter Information  

Science Conference Proceedings (OSTI)

This report provides information assembled for the purpose of developing damage-indicating parameters (DIPs) for power plant equipment. An existing Electric Power Research Institute (EPRI) seismic experience database is used to develop candidate DIP values associated with two database sites subjected to earthquake events. The two sites are described, the candidate DIPs are derived from the recorded site motions, and the equipment items at these sites are categorized according to performance during an ear...

2011-09-13T23:59:59.000Z

168

Evaluating learning algorithms and classifiers  

Science Conference Proceedings (OSTI)

We analyse 18 evaluation methods for learning algorithms and classifiers, and show how to categorise these methods with the help of an evaluation method taxonomy based on several criteria. We also define a formal framework that make it possible to describe ... Keywords: classification, classifiers, evaluation methods, learning algorithms, supervised learning, taxonomy

Niklas Lavesson; Paul Davidsson

2007-04-01T23:59:59.000Z

169

Reduct based Q-learning: an introduction  

Science Conference Proceedings (OSTI)

This paper introduces an approach to Reinforcement Learning Algorithm by introducing reduct concept of rough set methodology using a variation of Q-Learning algorithm. Unlike the conventional Q-Learning, the proposed algorithm calculates the reduct from ... Keywords: Q-learning method, reduct and reduct based Q-learning, reinforcement learning, rough set

Punit Pandey; Deepshikha Pandey

2011-02-01T23:59:59.000Z

170

Mobile learning: A framework and evaluation  

Science Conference Proceedings (OSTI)

Wireless data communications in form of Short Message Service (SMS) and Wireless Access Protocols (WAP) browsers have gained global popularity, yet, not much has been done to extend the usage of these devices in electronic learning (e-learning). This ... Keywords: Adult learning, Architectures for educational technology system, Cooperative/collaborative learning, Distance education and tele-learning, Learning communities

Luvai F. Motiwalla

2007-11-01T23:59:59.000Z

171

Multi-instance multi-label learning  

Science Conference Proceedings (OSTI)

In this paper, we propose the MIML (Multi-Instance Multi-Label learning) framework where an example is described by multiple instances and associated with multiple class labels. Compared to traditional learning frameworks, the MIML framework is more ... Keywords: MIML, Machine learning, Multi-instance learning, Multi-instance multi-label learning, Multi-label learning

Zhi-Hua Zhou; Min-Ling Zhang; Sheng-Jun Huang; Yu-Feng Li

2012-01-01T23:59:59.000Z

172

Detecting giant solar flares based on sunspot parameters using bayesian networks  

Science Conference Proceedings (OSTI)

This paper presents the use of Bayesian Networks (BN) in a new area, the detection of solar flares. The paper describes how to learn a Bayesian Network (BN) using a set of variables representing sunspots parameters such that the BN can detect and classify ... Keywords: bayesian networks, forecast systems, fusion of information, solar flares, sunspot

Tatiana Raffaelli; Adriana V. R. Silva; Maurício Marengoni

2006-12-01T23:59:59.000Z

173

Learning From Real Springs  

E-Print Network (OSTI)

Many springs do not obey Hooke's Law because they are constructed to have an intrinsic tension which must be overcome before normal elongation occurs. This property, well-known to engineers, is universally neglected in elementary physics courses. In fact it can be used to enhance learning and to deepen understanding of potential energy.

Bassichis, William

2013-01-29T23:59:59.000Z

174

Lunch & Learn Facilities &  

E-Print Network (OSTI)

reimbursements to the University for costs incurred in support of sponsored projects Sponsor perspective: F&A represent the sponsor's fair share of facilities and administration as it relates to total project costs 7Lunch & Learn Facilities & Administrative (F&A) Costs #12;Today's Agenda What are F&A Costs? How

McQuade, D. Tyler

175

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

2013-07-20T23:59:59.000Z

176

Smart Metering: Lessons Learned  

Science Conference Proceedings (OSTI)

More than 50 utilities around the world have started implementations of Advanced Metering Infrastructure (AMI, or Smart Metering). Approximately 20 of those utilities have completed their implementation and many of the others are well down the road to completion. This paper provides lessons learned from more than 30 smart metering implementations, based on the direct experiences of utility smart metering project teams.

2010-12-14T23:59:59.000Z

177

Conservation Screening Curves to Compare Efficiency Investments to Power Plants  

E-Print Network (OSTI)

Y TECHNOLOGIES CT COMBINED BASELOAD PARAMETER GAS CYCLE OILcapacity factor. For a baseload plant, one kW that generatesTURBINE COMBINED-CYCLE (OIL) BASELOAD COAL I J J I CFHIGHUSE

Koomey, J.G.

2008-01-01T23:59:59.000Z

178

Solar Two is a concentrating solar power plant that can supply electric power "on demand"  

E-Print Network (OSTI)

Solar Two is a concentrating solar power plant that can supply electric power "on demand time ever, a utility-scale solar power plant can supply elec- tricity when the utility needs it most achievement. The design is based on lessons learned at Solar One, this country's first power tower. Solar One

Laughlin, Robert B.

179

Nondestructive Evaluation: 10th EPRI Balance-of-Plant Heat Exchanger NDE Symposium Proceedings  

Science Conference Proceedings (OSTI)

EPRI's 10th Balance-of-Plant Heat Exchanger NDE Symposiumheld in San Antonio, Texas, June 1618, 2008focused on lessons learned and experiences related to inspection, repair, and condition assessment of balance-of-plant (BOP) heat exchangers. This year's symposium scope has extended to non-heat exchanger BOP components, such as buried piping and storage tanks.

2008-08-27T23:59:59.000Z

180

Viscosity virtual sensor to control combustion in fossil fuel power plants  

Science Conference Proceedings (OSTI)

Thermo-electrical power plants utilize fossil fuel oil to transform the calorific power of fuel into electric power. An optimal combustion in the boiler requires the fuel oil to be in its best conditions. One of fuel's most important properties to consider ... Keywords: Automatic learning, Bayesian networks, Fuel oil, Power plants, Virtual sensors

Pablo H. Ibargüengoytia, Miguel Angel Delgadillo, Uriel A. García, Alberto Reyes

2013-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "learning parameters plants" 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

New baseload power plants  

Science Conference Proceedings (OSTI)

This is a listing of 221 baseload power plant units currently in the planning stage. The list shows the plant owner, capacity, fuel, engineering firm, constructor, major equipment suppliers (steam generator, turbogenerator, and flue gas desulfurization system), partner, and date the plant is to be online. This data is a result of a survey by the journal of power plant owners.

Not Available

1994-04-01T23:59:59.000Z

182

Factors affecting potential market penetration of laser fusion power plants  

SciTech Connect

A mini-model has been constructed to estimate the optimal size of laser fusion power plants and to estimate the allowable cost of the first such plant in relation to the next best alternative. In estimating the costs of laser fusion, the mini-model incorporates such factors as market penetration, learning, economies of scale, system size, transmission costs, reserve requirements, development and licensing costs and site costs. The results of the mini-model simulations indicate that the optimal laser fusion plant size is approximately 3 GWe; risk considerations unincorporated in the mini-model suggest an optimal size closer to 2.5 GWe.

Deonigi, D.E.; Fraley, D.W.

1979-08-01T23:59:59.000Z

183

Lessons Learned Quarterly Report, December 1995 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

December 1995 December 1995 Lessons Learned Quarterly Report, December 1995 This quarterly report summarizes the lessons learned for documents completed between July 1 and September 30, 1995. It is based primarily on responses to the revised questionnaire that was provided for use during January 1995, and includes information on direct and indirect NEPA process costs and on total project costs. Included in this issue: NEPA Document Preparation Times NEPA Cost Date NEPA Document Content The Document Preparation Process Effectiveness of the NEPA Process Other Lessons Learned Feature Stories Waste Isolation Pilot Plant Supplemental EIS Dual Axis Radiographic Hydrodynamic Test Facility EIS Updates from the Office of NEPA Policy and Assistance The Need for Consistency in Accident Analyses

184

Model-based optimisation of Wastewater Treatment Plants design  

Science Conference Proceedings (OSTI)

This paper presents the mathematical basis and some illustrative examples of a model-based decision-making method for the automatic calculation of optimum design parameters in modern Wastewater Treatment Plants (WWTP). The starting point of the proposed ... Keywords: Mathematical modelling, Optimum design, Wastewater Treatment Plants

A. Rivas; I. Irizar; E. Ayesa

2008-04-01T23:59:59.000Z

185

Optimization system for operation of gas cogeneration power plant  

Science Conference Proceedings (OSTI)

The paper presents a distributed control system for the realization of cogenerative supply of electricity and heat and, in given case, for their combination with waste heat recovery, particularly in combined (gas-steam) cycle industrial power plants. ... Keywords: cogenerative gas power plant, control of distributed parameter systems, optimization, process control

Ion Miciu

2008-09-01T23:59:59.000Z

186

Implementation of on-line control in chemical process plants  

Science Conference Proceedings (OSTI)

A range of identification, estimation and control algorithms has been implemented and tested on a chemical process plant/process control computer system which is typical of installations in the process industries. The plants studied are a gas-separating ... Keywords: Adaptive control, Kalman filters, chemical industry, computer control, fluid composition control, multivariable control systems, nonlinear systems, optimal control, parameter estimation, stochastic control

L. S. Kershenbaum; T. R. Fortescue

1981-11-01T23:59:59.000Z

187

A Dynamical Systems Model for Nuclear Power Plant Risk Management  

Science Conference Proceedings (OSTI)

This report provides a mathematical dynamical systems model of the effect of plant processes and programs on nuclear plant safety. That is, it models the safety risk management process. Responses of this model to postulated changes in performance and coupling parameters were verified to be in accordance with experience from years of commercial nuclear power plant operation. A preliminary analysis of the model was performed using the techniques of dynamical systems theory to determine regions of operation...

2003-10-31T23:59:59.000Z

188

Waste Isolation Pilot Plant's Excavated Salt Agreement Supports  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Waste Isolation Pilot Plant's Excavated Salt Agreement Supports Waste Isolation Pilot Plant's Excavated Salt Agreement Supports Conservation Education, Other Public Initiatives Waste Isolation Pilot Plant's Excavated Salt Agreement Supports Conservation Education, Other Public Initiatives November 14, 2013 - 12:00pm Addthis Approximately 1.8 million tons of salt have been mined out of the underground at WIPP. Approximately 1.8 million tons of salt have been mined out of the underground at WIPP. Proceeds from the WIPP salt allowed hundreds of southeast New Mexico students to learn about resource conservation. Proceeds from the WIPP salt allowed hundreds of southeast New Mexico students to learn about resource conservation. The crushed salt is used as a supplement in cattle feed. Since the salt from WIPP has been mined from the middle of a large salt formation, its quality is high, according to Magnum Minerals.

189

Waste Isolation Pilot Plant's Excavated Salt Agreement Supports  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Waste Isolation Pilot Plant's Excavated Salt Agreement Supports Waste Isolation Pilot Plant's Excavated Salt Agreement Supports Conservation Education, Other Public Initiatives Waste Isolation Pilot Plant's Excavated Salt Agreement Supports Conservation Education, Other Public Initiatives November 14, 2013 - 12:00pm Addthis Approximately 1.8 million tons of salt have been mined out of the underground at WIPP. Approximately 1.8 million tons of salt have been mined out of the underground at WIPP. Proceeds from the WIPP salt allowed hundreds of southeast New Mexico students to learn about resource conservation. Proceeds from the WIPP salt allowed hundreds of southeast New Mexico students to learn about resource conservation. The crushed salt is used as a supplement in cattle feed. Since the salt from WIPP has been mined from the middle of a large salt formation, its quality is high, according to Magnum Minerals.

190

Cranking mass parameters for fission  

E-Print Network (OSTI)

A formalism for semi-adiabatic cranking mass parameters is presented. For the fission process of 234U, the time-dependent pairing equations of motion were used to calculate the excitation energy and to extract values of the cranking inertia. A fission barrier is determined by minimizing the action trajectory in a five dimensional configuration space spanned by elongation, necking, deformations of fragments and mass-asymmetry. The deformation energy is computed in the the frame of the microscopic-macroscopic model. The two center shell model with Woods-Saxon potentials is used in this context. Values of the inertia for excited fissioning systems are reported. A dependence between the cranking mass parameters and the intrinsic excitation energy is evidenced.

M. Mirea; R. C. Bobulescu

2009-09-11T23:59:59.000Z

191

NEPA Lessons Learned Questionnaire  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Learned Questionnaire Learned Questionnaire Office of NEPA Policy and Compliance U.S. Department of Energy Preface Your timely completion of this questionnaire will aid the Office of NEPA Policy and Compliance in meeting its responsibility to foster continuing improvement of the Department of Energy's National Environmental Policy Act process. In accordance with DOE Order 451.1B, National Environmental Policy Act Compliance Program, NEPA Document Managers and NEPA Compliance Officers should fill out a questionnaire (separately or jointly) as soon as possible after completing each environmental impact statement (EIS) and environmental assessment (EA). Other document preparation team members are encouraged to also submit a questionnaire. The questionnaire is designed to structure your responses, but you should feel free to attach a statement describing

192

Information, learning and falsification  

E-Print Network (OSTI)

Broadly speaking, there are two approaches to quantifying information. The first, Shannon information, takes events as belonging to ensembles and quantifies the information resulting from observing the given event in terms of the number of alternate events that have been ruled out. The second, algorithmic information or Kolmogorov complexity, takes events as strings and, given a universal Turing machine, quantifies the information content of a string as the length of the shortest program producing it. This note describes a new method of quantifying information, effective information, that links algorithmic information to Shannon information, and also links both to capacities arising in statistical learning theory. After introducing the measure, we show that it provides a non-universal analog of algorithmic information. We then apply it to derive basic capacities in statistical learning theory: empirical VC-entropy and empirical Rademacher complexity. A nice byproduct of our approach is an interpretation of th...

Balduzzi, David

2011-01-01T23:59:59.000Z

193

Threats analysis for e-learning  

Science Conference Proceedings (OSTI)

The purpose of this paper is to investigate and define the information security threats within an e-learning environment. A threat analysis has been conducted for each application in the managed learning environment (MLE) system used in the ... Keywords: MLEs, Microsoft, application systems, e-learning, electronic learning, host vulnerabilities, information security, managed learning environments, network vulnerability, online learning, potential threats, risk management, risk matrix, security strategies, technology enhanced learning, threat matrix, threats analysis, user awareness

Najwa Hayaati Mohd Alwi; Ip-Shing Fan

2010-10-01T23:59:59.000Z

194

Learning About Magnets!  

NLE Websites -- All DOE Office Websites (Extended Search)

the the National High Magnetic Field Laboratory Learning About Name A magnet is a material or object that creates a magnetic fi eld. This fi eld is invisible, but it creates a force that can "attract" or "repel" other magnets and magnetic materials, like iron or nickel. What is a Magnet? This bar magnet is a permanent magnet. Permanent magnets can be found in the Earth as rocks and metals. Magnets have

195

Learning planar ising models  

Science Conference Proceedings (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

196

Plant immune systems  

NLE Websites -- All DOE Office Websites (Extended Search)

Plant immune systems Plant immune systems Name: stephanie Status: N/A Age: N/A Location: N/A Country: N/A Date: Around 1993 Question: Do plants have an immune system? How does it work? Are plants able to "fight off" infections such as Dutch Elm disease? Replies: In the broadest sense, an immune system is any method an organism has protect itself from succeeding to another organism's efforts to undermine its health and integrity. In this sense, yes, plants have immune systems. Plants do NOT have "active" immune systems, like humans, including macrophages, lymls, antibodies, complements, interferon, etc., which help us ward off infection. Rather, plants have "passive" mechanisms of protection. For instance, the waxy secretion of some plants (cuticle) functions to help hold in moisture and keep out microorganisms. Plants can also secrete irritating juices that prevent insects and animals from eating it. The thick bark of woody plants is another example of a defensive adaptation, that protects the more delicate tissues inside. The chemical secretions of some plants are downright poisonous to many organisms, which greatly enhance the chances of survival for the plant. Fruits of plants contain large amounts of vitamin C and bioflavonoids, compounds which have been shown in the lab to be anti-bacterial and antiviral. So in these ways, plants can improve their chances of survival. Hundreds of viruses and bacteria attack plants each year, and the cost to agriculture is enormous. I would venture to guess that once an organism establishes an infection in a plant, the plant will not be able to "fight" it. However, exposure to the sun's UV light may help control an infection, possibly even defeat it, but the plant does not have any inherent "active" way to fight the infection

197

How Good Is Good: Improved Tracking and Managing of Safety Goals, Performance Indicators, Production Targets and Significant Events Using Learning Curves  

SciTech Connect

We show a new way to track and measure safety and performance using learning curves derived on a mathematical basis. When unusual or abnormal events occur in plants and equipment, the regulator and good management practice requires they be reported, investigated, understood and rectified. In addition to reporting so-called 'significant events', both management and the regulator often set targets for individual and collective performance, which are used for both reward and criticism. For almost completely safe systems, like nuclear power plants, commercial aircraft and chemical facilities, many parameters are tracked and measured. Continuous improvement has to be demonstrated, as well as meeting reduced occurrence rates, which are set as management goals or targets. This process usually takes the form of statistics for availability of plant and equipment, forced or unplanned maintenance outage, loss of safety function, safety or procedural violations, etc. These are often rolled up into a set of so-called 'Performance Indicators' as measures of how well safety and operation is being managed at a given facility. The overall operating standards of an industry are also measured. A whole discipline is formed of tracking, measuring, reporting, managing and understanding the plethora of indicators and data. Decreasing occurrence rates and meeting or exceeding goals are seen and rewarded as virtues. Managers and operators need to know how good is their safety management system that has been adopted and used (and paid for), and whether it can itself be improved. We show the importance of accumulated experience in correctly measuring and tracking the decreasing event and error rates speculating a finite minimum rate. We show that the rate of improvement constitutes a measurable 'learning curve', and the attainment of the goals and targets can be affected by the adopted measures. We examine some of the available data on significant events, reportable occurrences, and loss of availability. We suggest the use of learning curves as a means of accurately tracking progress; and stress the importance of a sustained learning environment in performance improvement. (authors)

Duffey, Rommey B. [Atomic Energy of Canada Limited, Chalk River, ON KOJ 1J0 (Canada); Saull, John W. [International Federation of Airworthiness, East Grinstead, RH19 3RF (United Kingdom)

2002-07-01T23:59:59.000Z

198

SASSYS-1 balance-of-plant component models for an integrated plant response  

Science Conference Proceedings (OSTI)

Models of power plant heat transfer components and rotating machinery have been added to the balance-of-plant model in the SASSYS-1 liquid metal reactor systems analysis code. This work is part of a continuing effort in plant network simulation based on the general mathematical models developed. The models described in this paper extend the scope of the balance-of-plant model to handle non-adiabatic conditions along flow paths. While the mass and momentum equations remain the same, the energy equation now contains a heat source term due to energy transfer across the flow boundary or to work done through a shaft. The heat source term is treated fully explicitly. In addition, the equation of state is rewritten in terms of the quality and separate parameters for each phase. The models are simple enough to run quickly, yet include sufficient detail of dominant plant component characteristics to provide accurate results. 5 refs., 16 figs., 2 tabs.

Ku, J.-Y.

1989-01-01T23:59:59.000Z

199

ORNL DAAC, Biogeochemical Parameters for Ecosystem Modeling,...  

NLE Websites -- All DOE Office Websites (Extended Search)

Parameters for Ecosystem Modeling The ORNL DAAC announces the release of a data set entitled "Literature-Derived Parameters for the BIOME-BGC Terrestrial Ecosystem...

200

Redefining learning goals of very long-term learning across many different fields of activity  

Science Conference Proceedings (OSTI)

There is a hidden agenda in our modern conception of learning--especially as embodied in education--that the learning experiences gained in one "learning situation" are naturally built-upon, expanded, and integrated with experiences from other learning ...

Naomi Miyake; Roy Pea; Brigid Barron; Daniel L. Schwartz; Lee Martin; Rogers Hall; Ken Wright; Karen Wieckert

2007-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "learning parameters plants" 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

Plant Phenotype Characterization System  

DOE Green Energy (OSTI)

This report is the final scientific report for the DOE Inventions and Innovations Project: Plant Phenotype Characterization System, DE-FG36-04GO14334. The period of performance was September 30, 2004 through July 15, 2005. The project objective is to demonstrate the viability of a new scientific instrument concept for the study of plant root systems. The root systems of plants are thought to be important in plant yield and thus important to DOE goals in renewable energy sources. The scientific study and understanding of plant root systems is hampered by the difficulty in observing root activity and the inadequacy of existing root study instrumentation options. We have demonstrated a high throughput, non-invasive, high resolution technique for visualizing plant root systems in-situ. Our approach is based upon low-energy x-ray radiography and the use of containers and substrates (artificial soil) which are virtually transparent to x-rays. The system allows us to germinate and grow plant specimens in our containers and substrates and to generate x-ray images of the developing root system over time. The same plant can be imaged at different times in its development. The system can be used for root studies in plant physiology, plant morphology, plant breeding, plant functional genomics and plant genotype screening.

Daniel W McDonald; Ronald B Michaels

2005-09-09T23:59:59.000Z

202

Using blogs to support learning during internship  

Science Conference Proceedings (OSTI)

Blogging has been recommended as a suitable tool for learning during internship due to its associated usefulness in collaborative learning, reflection, communication, and social support. In this study, blogging was incorporated into the internship activities ... Keywords: Blogs, Collaborative learning, Professional learning, Teaching/learning strategies

Samuel K. W. Chu; Carol K. K. Chan; Agnes F. Y. Tiwari

2012-04-01T23:59:59.000Z

203

Using mobile learning to increase environmental awareness  

Science Conference Proceedings (OSTI)

Mobile learning or m-learning, a relatively new concept, has attracted the interest of educators, researchers, and companies developing learning systems and instructional materials. This study investigated the use of integrating use of mobile technologies, ... Keywords: Collaborative learning, Environmental awareness, Gender, Grade, m-Learning

Huseyin Uzunboylu; Nadire Cavus; Erinc Ercag

2009-02-01T23:59:59.000Z

204

A requirements catalog for mobile learning environments  

Science Conference Proceedings (OSTI)

Mobile learning (m-learning) can be characterized by the ability to promote a strong interaction among apprentices and tutors, assuring greater motivation, convenience and flexibility to the learning process. Mobile learning environments have emerged ... Keywords: mobile learning, prioritization, requirements, systematic review

Nemésio Freitas Duarte Filho; Ellen Francine Barbosa

2013-03-01T23:59:59.000Z

205

Alternative Fuels Lessons Learned Workshop  

NLE Websites -- All DOE Office Websites (Extended Search)

Lessons Learned Workshop Prepared for: 2010-2025 H2 Scenario Analysis Meeting Margo Melendez - NREL Disclaimer and Government License This work has been authored by Midwest...

206

Moods, wicked problems, and learning  

Science Conference Proceedings (OSTI)

Wicked problems and learning environments present tough mood challenges for leaders and teachers. Telepresence and sensory gadgets are unlikely to replace physical presence in these areas.

Peter J. Denning

2013-03-01T23:59:59.000Z

207

Machine Learning for Global Optimization  

E-Print Network (OSTI)

approach for global optimization in which machine learning is used to predict ..... In Figure 1 we show the level curves of the 2–dimensional Rastrigin function.

208

Chlorine and Plants  

NLE Websites -- All DOE Office Websites (Extended Search)

Chlorine and Plants Name: Paul Location: NA Country: NA Date: NA Question: Is too Much chlorine going to kill or harm plants? I couldn't find information anywhere but I found...

209

Chlorine and Plants  

NLE Websites -- All DOE Office Websites (Extended Search)

Chlorine and Plants Name: james Location: NA Country: NA Date: NA Question: I am doing project on the effects of chlorine on plant growth and i cant find any info. If you could...

210

PLANT BIOLOGY DEPARTMENT HANDBOOK  

E-Print Network (OSTI)

PLANT BIOLOGY DEPARTMENT HANDBOOK 2012-2013 University of Georgia Athens, GA 30602 Updated: 9/5/12 #12;Plant Biology Handbook Table of Contents General Information and Operating Procedures 1

Arnold, Jonathan

211

Plants producing DHA  

Science Conference Proceedings (OSTI)

CSIRO researchers published results in November 2012 showing that the long-chain n-3 fatty acid docosahexaenoic acid (DHA) can be produced in land plants in commercially valuable quantities. Plants producing DHA inform Magazine algae algal AOCS bi

212

Oil and Plants  

NLE Websites -- All DOE Office Websites (Extended Search)

Oil and Plants Name: Matt Location: NA Country: NA Date: NA Question: If you could please tell me exactly what motor oil (unused) does to plants, and the effects. Does it...

213

Paste Plant Operations  

Science Conference Proceedings (OSTI)

Mar 5, 2013 ... It now provides data extraction features that aggregate system ... DUBAL Carbon Plant management team defined and implemented a 3-year strategic ... how to best approach Paste Plant operating and maintenance activities.

214

Plants and Dirt Compaction  

NLE Websites -- All DOE Office Websites (Extended Search)

Dirt Compaction Name: Conor Location: NA Country: NA Date: NA Question: When growing corn and soybean plants does the compaction of dirt effect the growth of the plant? Replies:...

215

Light Wavelength and Plants  

NLE Websites -- All DOE Office Websites (Extended Search)

Light Wavelength and Plants Name: John Location: NA Country: NA Date: NA Question: I just was wandering whether plants grow better in artificial light or in sunlight. I am...

216

Plant centromere compositions  

DOE Patents (OSTI)

The present invention provides for the nucleic acid sequences of plant centromeres. This will permit construction of stably inherited recombinant DNA constructs and minichromosomes which can serve as vectors for the construction of transgenic plant and animal cells.

Mach, Jennifer (Chicago, IL); Zieler, Helge (Chicago, IL); Jin, James (Chicago, IL); Keith, Kevin (Chicago, IL); Copenhaver, Gregory (Chapel Hill, NC); Preuss, Daphne (Chicago, IL)

2006-06-26T23:59:59.000Z

217

Plant centromere compositions  

DOE Patents (OSTI)

The present invention provides for the nucleic acid sequences of plant centromeres. This will permit construction of stably inherited recombinant DNA constructs and minichromosomes which can serve as vectors for the construction of transgenic plant and animal cells.

Mach, Jennifer (Chicago, IL); Zieler, Helge (Chicago, IL); Jin, James (Chicago, IL); Keith, Kevin (Chicago, IL); Copenhaver, Gregory (Chapel Hill, NC); Preuss, Daphne (Chicago, IL)

2007-06-05T23:59:59.000Z

218

Plant centromere compositions  

DOE Patents (OSTI)

The present invention provides for the nucleic acid sequences of plant centromeres. This will permit construction of stably inherited recombinant DNA constructs and minichromosomes which can serve as vectors for the construction of transgenic plant and animal cells.

Mach, Jennifer M. (Chicago, IL); Zieler, Helge (Del Mar, CA); Jin, RongGuan (Chesterfield, MO); Keith, Kevin (Three Forks, MT); Copenhaver, Gregory P. (Chapel Hill, NC); Preuss, Daphne (Chicago, IL)

2011-08-02T23:59:59.000Z

219

Plant centromere compositions  

Science Conference Proceedings (OSTI)

The present invention provides for the nucleic acid sequences of plant centromeres. This will permit construction of stably inherited recombinant DNA constructs and minichromosomes which can serve as vectors for the construction of transgenic plant and animal cells.

Mach; Jennifer M. (Chicago, IL), Zieler; Helge (Del Mar, CA), Jin; RongGuan (Chesterfield, MO), Keith; Kevin (Three Forks, MT), Copenhaver; Gregory P. (Chapel Hill, NC), Preuss; Daphne (Chicago, IL)

2011-11-22T23:59:59.000Z

220

Plants & Animals  

NLE Websites -- All DOE Office Websites (Extended Search)

Plants & Animals Plants & Animals Plants & Animals Plant and animal monitoring is performed to determine whether Laboratory operations are impacting human health via the food chain. April 12, 2012 A rabbit on LANL land. A rabbit on LANL land. Contact Environmental Communication & Public Involvement P.O. Box 1663 MS M996 Los Alamos, NM 87545 (505) 667-0216 Email We sample many plants and animals, including wild and domestic crops, game animals, fish, and food products from animals, as well as other plants and animals not considered food sources. What plants and animals do we monitor? LANL monitors both edible and non-edible plants and animals to determine whether Laboratory operations are impacting human health via the food chain, or to find contaminants that indicate they are being moved in the

Note: This page contains sample records for the topic "learning parameters plants" 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

New baseload power plants  

Science Conference Proceedings (OSTI)

This is a tabulation of the results of this magazines survey of current plans for new baseload power plants. The table lists the unit name, capacity, fuel, engineering firm, constructor, suppliers for steam generator, turbine generator and flue gas desulfurization equipment, date due on-line, and any non-utility participants. The table includes fossil-fuel plants, nuclear plants, geothermal, biomass and hydroelectric plants.

Not Available

1993-04-01T23:59:59.000Z

222

Cooling Plant Optimization Guide  

Science Conference Proceedings (OSTI)

Central cooling plants or district cooling systems account for 22 percent of energy costs for cooling commercial buildings. Improving the efficiency of central cooling plants will significantly impact peak demand and energy usage for both building owners and utilities. This guide identifies opportunities for optimizing a central cooling plant and provides a simplified optimization procedure. The guide focuses on plant optimization from the standpoint of minimizing energy costs and maximizing efficiencies...

1998-09-29T23:59:59.000Z

223

Plant design: Integrating Plant and Equipment Models  

Science Conference Proceedings (OSTI)

Like power plant engineers, process plant engineers must design generating units to operate efficiently, cleanly, and profitably despite fluctuating costs for raw materials and fuels. To do so, they increasingly create virtual plants to enable evaluation of design concepts without the expense of building pilot-scale or demonstration facilities. Existing computational models describe an entire plant either as a network of simplified equipment models or as a single, very detailed equipment model. The Advanced Process Engineering Co-Simulator (APECS) project (Figure 5) sponsored by the U.S. Department of Energy's National Energy Technology Laboratory (NETL) seeks to bridge the gap between models by integrating plant modeling and equipment modeling software. The goal of the effort is to provide greater insight into the performance of proposed plant designs. The software integration was done using the process-industry standard CAPE-OPEN (Computer Aided Process Engineering–Open), or CO interface. Several demonstration cases based on operating power plants confirm the viability of this co-simulation approach.

Sloan, David (Alstrom Power); Fiveland, Woody (Alstrom Power); Zitney, S.E.; Osawe, Maxwell (Ansys, Inc.)

2007-08-01T23:59:59.000Z

224

NUCLEAR PLANT OPERATIONS AND  

E-Print Network (OSTI)

reactor Unit 4 of the Ringhals Nuclear Power Plant (Sweden) during fuel cycle 16 is analyzed--has been benchmarked against measurements.30 At the Ringhals nuclear power plant, this measurement is car a measurement performed at the PWR Unit 4 of the Ring hals Nuclear Power Plant was available to us

Demazière, Christophe

225

NUCLEAR PLANT OPERATIONS AND  

E-Print Network (OSTI)

reactor Unit 4 of the Ringhals Nuclear Power Plant (Sweden) during fuel cycle 16 is analyzed reactivity effects--has been benchmarked against measurements.30 At the Ringhals nuclear power plant a measurement performed at the PWR Unit 4 of the Ring- hals Nuclear Power Plant was available to us

Demazière, Christophe

226

Decisions decisions plant vessels  

Science Conference Proceedings (OSTI)

This paper describes concepts for a family of plant vessels that help users make decisions or reach goals. The concepts use plants to mark time or answer questions for the user, creating a connection between the user and the individual plant. These concepts ...

Jenny Liang

2007-08-01T23:59:59.000Z

227

Power Plant Cycling Costs  

Science Conference Proceedings (OSTI)

This report provides a detailed review of the most up to date data available on power plant cycling costs. The primary objective of this report is to increase awareness of power plant cycling cost, the use of these costs in renewable integration studies and to stimulate debate between policymakers, system dispatchers, plant personnel and power utilities.

Kumar, N.; Besuner, P.; Lefton, S.; Agan, D.; Hilleman, D.

2012-07-01T23:59:59.000Z

228

Advanced Manufacturing Office: Better Plants  

NLE Websites -- All DOE Office Websites (Extended Search)

Better Plants on Twitter Bookmark Advanced Manufacturing Office: Better Plants on Google Bookmark Advanced Manufacturing Office: Better Plants on Delicious Rank Advanced...

229

Bayesian learning in bioinformatics  

E-Print Network (OSTI)

Life sciences research is advancing in breadth and scope, affecting many areas of life including medical care and government policy. The field of Bioinformatics, in particular, is growing very rapidly with the help of computer science, statistics, applied mathematics, and engineering. New high-throughput technologies are making it possible to measure genomic variation across phenotypes in organisms at costs that were once inconceivable. In conjunction, and partly as a consequence, massive amounts of information about the genomes of many organisms are becoming accessible in the public domain. Some of the important and exciting questions in the post-genomics era are how to integrate all of the information available from diverse sources. Learning in complex systems biology requires that information be shared in a natural and interpretable way, to integrate knowledge and data. The statistical sciences can support the advancement of learning in Bioinformatics in many ways, not the least of which is by developing methodologies that can support the synchronization of efforts across sciences, offering real-time learning tools that can be shared across many fields from basic science to the clinical applications. This research is an introduction to several current research problems in Bioinformatics that addresses integration of information, and discusses statistical methodologies from the Bayesian school of thought that may be applied. Bayesian statistical methodologies are proposed to integrate biological knowledge and improve statistical inference for three relevant Bioinformatics applications: gene expression arrays, BAC and aCGH arrays, and real-time gene expression experiments. A unified Bayesian model is proposed to perform detection of genes and gene classes, defined from historical pathways, with gene expression arrays. A novel Bayesian statistical method is proposed to infer chromosomal copy number aberrations in clinical populations with BAC or aCGH experiments. A theoretical model is proposed, motivated from historical work in mathematical biology, for inference with real-time gene expression experiments, and fit with Bayesian methods. Simulation and case studies show that Bayesian methodologies show great promise to improve the way we learn with high-throughput Bioinformatics experiments.

Gold, David L.

2007-08-01T23:59:59.000Z

230

Big data, lifelong machine learning and transfer learning  

Science Conference Proceedings (OSTI)

A major challenge in today's world is the Big Data problem, which manifests itself in Web and Mobile domains as rapidly changing and heterogeneous data streams. A data-mining system must be able to cope with the influx of changing data in a continual ... Keywords: big data, lifelong machine learning, transfer learning

Qiang Yang

2013-02-01T23:59:59.000Z

231

An adaptive learning to rank algorithm: Learning automata approach  

Science Conference Proceedings (OSTI)

The recent years have witnessed the birth and explosive growth of the web. It is obvious that the exponential growth of the web has made it into a huge interconnected source of information wherein finding a document without a searching tool is unimaginable. ... Keywords: Learning automata, Learning to rank, Ranking function, Search engine

Javad Akbari Torkestani

2012-12-01T23:59:59.000Z

232

Measuring neutrino oscillation parameters using $\  

SciTech Connect

MINOS is a long-baseline neutrino oscillation experiment. It consists of two large steel-scintillator tracking calorimeters. The near detector is situated at Fermilab, close to the production point of the NuMI muon-neutrino beam. The far detector is 735 km away, 716m underground in the Soudan mine, Northern Minnesota. The primary purpose of the MINOS experiment is to make precise measurements of the 'atmospheric' neutrino oscillation parameters ({Delta}m{sub atm}{sup 2} and sin{sup 2} 2{theta}{sub atm}). The oscillation signal consists of an energy-dependent deficit of {nu}{sub {mu}} interactions in the far detector. The near detector is used to characterize the properties of the beam before oscillations develop. The two-detector design allows many potential sources of systematic error in the far detector to be mitigated by the near detector observations. This thesis describes the details of the {nu}{sub {mu}}-disappearance analysis, and presents a new technique to estimate the hadronic energy of neutrino interactions. This estimator achieves a significant improvement in the energy resolution of the neutrino spectrum, and in the sensitivity of the neutrino oscillation fit. The systematic uncertainty on the hadronic energy scale was re-evaluated and found to be comparable to that of the energy estimator previously in use. The best-fit oscillation parameters of the {nu}{sub {mu}}-disappearance analysis, incorporating this new estimator were: {Delta}m{sup 2} = 2.32{sub -0.08}{sup +0.12} x 10{sup -3} eV{sup 2}, sin {sup 2} 2{theta} > 0.90 (90% C.L.). A similar analysis, using data from a period of running where the NuMI beam was operated in a configuration producing a predominantly {bar {nu}}{sub {mu}} beam, yielded somewhat different best-fit parameters {Delta}{bar m}{sup 2} = (3.36{sub -0.40}{sup +0.46}(stat.) {+-} 0.06(syst.)) x 10{sup -3}eV{sup 2}, sin{sup 2} 2{bar {theta}} = 0.86{sub -0.12}{sup _0.11}(stat.) {+-} 0.01(syst.). The tension between these results is intriguing, and additional antineutrino data is currently being taken in order to further investigate this apparent discrepancy.

Backhouse, Christopher James; /Oxford U.

2011-02-01T23:59:59.000Z

233

Potential nanotechnology applications for reducing freshwater consumption at coal fired power plants : an early view.  

DOE Green Energy (OSTI)

This report was funded by the U.S. Department of Energy's (DOE's) National Energy Technology Laboratory (NETL) Existing Plants Research Program, which has an energy-water research effort that focuses on water use at power plants. This study complements the overall research effort of the Existing Plants Research Program by evaluating water issues that could impact power plants. A growing challenge to the economic production of electricity from coal-fired power plants is the demand for freshwater, particularly in light of the projected trends for increasing demands and decreasing supplies of freshwater. Nanotechnology uses the unique chemical, physical, and biological properties that are associated with materials at the nanoscale to create and use materials, devices, and systems with new functions and properties. It is possible that nanotechnology may open the door to a variety of potentially interesting ways to reduce freshwater consumption at power plants. This report provides an overview of how applications of nanotechnology could potentially help reduce freshwater use at coal-fired power plants. It was developed by (1) identifying areas within a coal-fired power plant's operations where freshwater use occurs and could possibly be reduced, (2) conducting a literature review to identify potential applications of nanotechnology for facilitating such reductions, and (3) collecting additional information on potential applications from researchers and companies to clarify or expand on information obtained from the literature. Opportunities, areas, and processes for reducing freshwater use in coal-fired power plants considered in this report include the use of nontraditional waters in process and cooling water systems, carbon capture alternatives, more efficient processes for removing sulfur dioxide and nitrogen oxides, coolants that have higher thermal conductivities than water alone, energy storage options, and a variety of plant inefficiencies, which, if improved, would reduce energy use and concomitant water consumption. These inefficiencies include air heater inefficiencies, boiler corrosion, low operating temperatures, fuel inefficiencies, and older components that are subject to strain and failure. A variety of nanotechnology applications that could potentially be used to reduce the amount of freshwater consumed - either directly or indirectly - by these areas and activities was identified. These applications include membranes that use nanotechnology or contain nanomaterials for improved water purification and carbon capture; nano-based coatings and lubricants to insulate and reduce heat loss, inhibit corrosion, and improve fuel efficiency; nano-based catalysts and enzymes that improve fuel efficiency and improve sulfur removal efficiency; nanomaterials that can withstand high temperatures; nanofluids that have better heat transfer characteristics than water; nanosensors that can help identify strain and impact damage, detect and monitor water quality parameters, and measure mercury in flue gas; and batteries and capacitors that use nanotechnology to enable utility-scale storage. Most of these potential applications are in the research stage, and few have been deployed at coal-fired power plants. Moving from research to deployment in today's economic environment will be facilitated with federal support. Additional support for research development and deployment (RD&D) for some subset of these applications could lead to reductions in water consumption and could provide lessons learned that could be applied to future efforts. To take advantage of this situation, it is recommended that NETL pursue funding for further research, development, or deployment for one or more of the potential applications identified in this report.

Elcock, D. (Environmental Science Division)

2010-09-17T23:59:59.000Z

234

Learning long term face aging patterns from partially dense aging databases  

E-Print Network (OSTI)

Studies on face aging are handicapped by lack of long term dense aging sequences for model training. To handle this problem, we propose a new face aging model, which learns long term face aging patterns from partially dense aging databases. The learning strategy is based on two assumptions: (i) short term face aging pattern is relatively simple and is possible to be learned from currently available databases; (ii) long term face aging is a continuous and smooth Markov process. Adopting a compositional face representation, our aging algorithm learns a function-based short term aging model from real aging sequences to infer facial parameters within a short age span. Based on the predefined smoothness criteria between two overlapping short term aging patterns, we concatenate these learned short term aging patterns to build the long term aging patterns. Both the subjective assessment and objective evaluations of synthetic aging sequences validate the effectiveness of the proposed model. 1.

Jinli Suo; Xilin Chen; Shiguang Shan; Wen Gao

2009-01-01T23:59:59.000Z

235

Machine Learning for Sequential Data: A Review  

Science Conference Proceedings (OSTI)

Statistical learning problems in many fields involve sequential data. This paper formalizes the principal learning tasks and describes the methods that have been developed within the machine learning research community for addressing these problems. ...

Thomas G. Dietterich

2002-08-01T23:59:59.000Z

236

Environment/Health/Safety (EHS): Lessons Learned  

NLE Websites -- All DOE Office Websites (Extended Search)

Lessons Learned Lessons Learned Lessons Home Lessons Learned Database Lessons Learned The Berkeley Lab Lessons Learned Program is managed by the Office of Contract Assurance (OCA). It was developed to help the Laboratory community learn from our mistakes (and the mistakes of others) so that we don't repeat them. Through various sources, we identify events such as accidents, mishaps and near misses and translate them into corrective actions to prevent their recurrence. The ultimate goal of the Lessons Learned Program is to continually improve our performance on an ongoing basis. This is one of the central tenets of the Laboratory's assurance program. We use several different sources of information for our Lessons Learned Program. These include: The Lessons Learned database. Use the Lessons Learned database to enter Lessons Learned and Best Practices, and to view the Lessons Learned Library.

237

Active Learning Strategies for Teaching Lean Thinking  

E-Print Network (OSTI)

Active learning is a method of designing instruction so that classroom students are actively involved in learning concepts and content. Instead of casting students into the role of passive listener, active learning techniques ...

Candido, Jacqueline P.

2007-06-11T23:59:59.000Z

238

ICT4D and the learning sciences  

Science Conference Proceedings (OSTI)

Over the last two decades, the learning sciences have contributed immensely to curricula-based learning in formal environments. Recently, there is an increased emphasis on learning that occurs outside formal institutions, especially through the use of ...

Michael A. Evans; Aditya Johri; George E. Glasson; Kursat Cagiltay; Joyojeet Pal; Piya Sorcar

2008-06-01T23:59:59.000Z

239

LPG-recovery processes for baseload LNG plants examined  

SciTech Connect

With demand on the rise, LPG produced from a baseload LNG plant becomes more attractive as a revenue-earning product similar to LNG. Efficient use of gas expanders in baseload LNG plants for LPG production therefore becomes more important. Several process variations for LPG recovery in baseload LNG plants are reviewed here. Exergy analysis (based on the Second Law of Thermodynamics) is applied to three cases to compare energy efficiency resulting from integration with the main liquefaction process. The paper discusses extraction in a baseload plant, extraction requirements, process recovery parameters, extraction process variations, and exergy analysis.

Chiu, C.H. [Bechtel Corp., Houston, TX (United States)

1997-11-24T23:59:59.000Z

240

prairie plant list  

NLE Websites -- All DOE Office Websites (Extended Search)

List of Native Prairie Plant Illustrations List of Native Prairie Plant Illustrations Select the common name of the plant you want to view. Common Name Scientific Name Grasses BIG BLUESTEM Andropogon gerardii INDIAN GRASS Sorghastrum nutans LITTLE BLUESTEM Andropogon scoparius SWITCH GRASS Panicum virgatum CORD GRASS Spartina pectinata NEEDLEGRASS Stipa spartea PRAIRIE DROPSEED Sporobolus pectinata SIDE-OATS GRAMA Bouteloua curtipendula FORBS ROSINWEED Silphium integrifolium SAW-TOOTHED SUNFLOWER Helianthus grossesserratus WILD BERGAMOT Monarda fistulosa YELLOW CONEFLOWER Ratibida pinnata BLACK-EYED SUSAN Rudbeckia hirta COMPASS PLANT Silphium lactiniatum CUP PLANT Silphium perfoliatum NEW ENGLAND ASTER Aster novae-angilae PRAIRIE DOCK Silphium terebinthinaceum RATTLESNAKE MASTER Eryngium yuccifolium STIFF GOLDENROD Solidaga rigida

Note: This page contains sample records for the topic "learning parameters plants" 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

Table1 Parameters of BEPCII SC magnets  

NLE Websites -- All DOE Office Websites (Extended Search)

upon experience gained winding the HERA-II Luminosity Upgrade magnets and an anticipated learning curve during SCQ winding we still expect to be able to meet the SCB field...

242

Machine Learning Benchmarks and Random Forest Regression  

E-Print Network (OSTI)

Machine Learning Benchmarks and Random Forest Regressionerror on a suite of benchmark datasets. As the basethe Machine Learning Benchmark Problems package; see http://

Segal, Mark R

2004-01-01T23:59:59.000Z

243

Clean Cities: Clean Cities University Online Learning  

NLE Websites -- All DOE Office Websites (Extended Search)

University Online Learning to someone by E-mail Share Clean Cities: Clean Cities University Online Learning on Facebook Tweet about Clean Cities: Clean Cities University Online...

244

Industrial Assessment Centers Help Students, Communities Learn...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Industrial Assessment Centers Help Students, Communities Learn About Energy Efficiency Industrial Assessment Centers Help Students, Communities Learn About Energy Efficiency March...

245

Mapping Individual Variations in Learning Capacity  

E-Print Network (OSTI)

in working memory capacity. Integrative Physiological andVariations in Learning Capacity Eduardo Mercado IIIdifferences in learning capacity are evident in humans and

Mercado III, Eduardo

2011-01-01T23:59:59.000Z

246

Lessons Learned from Microgrid Demonstrations Worldwide  

NLE Websites -- All DOE Office Websites (Extended Search)

Lessons Learned from Microgrid Demonstrations Worldwide Title Lessons Learned from Microgrid Demonstrations Worldwide Publication Type Report LBNL Report Number LBNL-5825E Year of...

247

Binding Parameters of Alkaloids Berberine and Sanguinarine with DNA  

E-Print Network (OSTI)

We study the interaction of berberine and sanguinarine (plant alkaloids) with DNA in aqueous solutions, by using optical spectroscopy methods (absorption and fluorescence). The dependencies of alkaloid spectral characteristics on the concentration ratio N/c between the DNA base pairs and alkaloid molecules in the solutions are considered, and the manifestations of the alkaloid-DNA binding are revealed. The character of binding is found to depend on N/c. The parameters of the binding of berberine and sanguinarine with DNA are determined, by using the modified Scatchard and McGhee-von Hippel equations

Gumenyuk, V G; Kutovyy, S Yu; Yashchuk, V M; Zaika, L A

2012-01-01T23:59:59.000Z

248

Fossil Plant Cycle Chemistry Instrumentation and Control--State-of-Knowledge Assessment  

Science Conference Proceedings (OSTI)

Effective monitoring of the purity of water and steam is an integral part of a productive cycle chemistry monitoring program. EPRI's cycle chemistry guidelines for fossil plants identify a group of core monitoring parameters that are considered the minimum requirements. Meeting the core monitoring requirement is part of EPRI's cycle chemistry benchmarking criteria for plant cycle chemistry programs. In addition to the core parameters, many other chemistry parameters may be measuredeither routinely or as ...

2007-03-22T23:59:59.000Z

249

NREL: Learning - Biopower  

NLE Websites -- All DOE Office Websites (Extended Search)

Biopower Biopower Biopower, or biomass power, is the use of biomass to generate electricity. Biopower system technologies include direct-firing, cofiring, gasification, pyrolysis, and anaerobic digestion. Most biopower plants use direct-fired systems. They burn bioenergy feedstocks directly to produce steam. This steam drives a turbine, which turns a generator that converts the power into electricity. In some biomass industries, the spent steam from the power plant is also used for manufacturing processes or to heat buildings. Such combined heat and power systems greatly increase overall energy efficiency. Paper mills, the largest current producers of biomass power, generate electricity or process heat as part of the process for recovering pulping chemicals. Co-firing refers to mixing biomass with fossil fuels in conventional power

250

2010 Plant Molecular Biology Gordon Research Conference  

SciTech Connect

The Plant Molecular Biology Conference has traditionally covered a breadth of exciting topics and the 2010 conference will continue in that tradition. Emerging concerns about food security have inspired a program with three main themes: (1) genomics, natural variation and breeding to understand adaptation and crop improvement, (2) hormonal cross talk, and (3) plant/microbe interactions. There are also sessions on epigenetics and proteomics/metabolomics. Thus this conference will bring together a range of disciplines, will foster the exchange of ideas and enable participants to learn of the latest developments and ideas in diverse areas of plant biology. The conference provides an excellent opportunity for individuals to discuss their research because additional speakers in each session will be selected from submitted abstracts. There will also be a poster session each day for a two-hour period prior to dinner. In particular, this conference plays a key role in enabling students and postdocs (the next generation of research leaders) to mingle with pioneers in multiple areas of plant science.

Michael Sussman

2010-07-23T23:59:59.000Z

251

Multimedia learning: Cognitive individual differences and display design techniques predict transfer learning with multimedia learning modules  

Science Conference Proceedings (OSTI)

In the wake of the information explosion and rapidly progressing technology [Mayer, R. E. (2001). Multimedia learning. Cambridge: University Press] formulated a theory that focused on human cognition, rather than technology capacity and features. By ... Keywords: Interface, Multimedia design, Multimedia learning

Katherine A. Austin

2009-12-01T23:59:59.000Z

252

Activized Learning: Transforming Passive to Active with Improved Label Complexity  

Science Conference Proceedings (OSTI)

We study the theoretical advantages of active learning over passive learning. Specifically, we prove that, in noise-free classifier learning for VC classes, any passive learning algorithm can be transformed into an active learning algorithm with asymptotically ...

Steve Hanneke

2012-06-01T23:59:59.000Z

253

Learning About Saving Energy  

NLE Websites -- All DOE Office Websites (Extended Search)

DOE/GO-10095-070 DOE/GO-10095-070 FS 218 January 1995 ENERGY EFFICIENCY Learning About AND RENEWABLE Saving Energy CLEARINGHOUSE ENERGY What is energy? Energy is the ability to do work. It can come in the forms of heat and light. There are two types of energy: working energy and stored energy. Stored energy becomes working energy when we use it. You eat food for energy. Then your body stores the energy until you need it. When you work and play, your stored energy becomes working energy. We use energy every day. We use it to grow our food, warm and cool our homes, make our electricity, run our cars, and make products like clothes and toys. It is a very important part of our lives. Most of the time, we use stored energy for fuel. Burning fuel sets the stored energy free in the form

254

Generalized Stochastic Gradient Learning  

E-Print Network (OSTI)

#1;#2;#3;#2;#4;#5;#6;#7;#8;#2; #11;#12; #14;#15;#5;#16;#12;#7;#14; #1;#4;#5; #7;#2;#3;#12; #17;#2;#5;#4;#3;#7;#3;#18; George W. Evans, Seppo Honkapohja and Noah Willams #19;#14;#12; #20;#2;#4; #21;#22;#22;#23; #24;#25;#26;#27; #22;#23;#28;#23; #1... ;#2;#3;#4;#3;#2;#4;#5;#6;#4;#7;#8;#2;#3;#6; #4; #11;#3;#12;#2;#8;#3;#4; #6;#14;#15;#11;#16;#16;#11;#2;#17; Generalized Stochastic Gradient Learning? George W. Evans University of Oregon Seppo Honkapohja University of Cambridge Noah Williams Princeton...

Evans, George W; Honkapohja, Seppo; Williams, Noah

2006-03-14T23:59:59.000Z

255

Learning Graph Matching  

E-Print Network (OSTI)

As a fundamental problem in pattern recognition, graph matching has applications in a variety of fields, from computer vision to computational biology. In graph matching, patterns are modeled as graphs and pattern recognition amounts to finding a correspondence between the nodes of different graphs. Many formulations of this problem can be cast in general as a quadratic assignment problem, where a linear term in the objective function encodes node compatibility and a quadratic term encodes edge compatibility. The main research focus in this theme is about designing efficient algorithms for approximately solving the quadratic assignment problem, since it is NP-hard. In this paper we turn our attention to a different question: how to estimate compatibility functions such that the solution of the resulting graph matching problem best matches the expected solution that a human would manually provide. We present a method for learning graph matching: the training examples are pairs of graphs and the `labels' are ma...

Caetano, Tiberio S; Cheng, Li; Le, Quoc V; Smola, Alex J

2008-01-01T23:59:59.000Z

256

PARAMETER SET FOR CW AND NEAR-CW OPERATION OF SUPERCONDUCTING LINAC DRIVING A FEL FACILITY1  

E-Print Network (OSTI)

capacity of a cryogenic plant, AC power consumption and other data relevant to the project. The study was devoted to the definition of continuous wave (cw) or near-cw generic operating parameters RF-source supplying the RF-power to all eight cavities. Having the operating parameters of the unit

257

prairie restoration plant ident  

NLE Websites -- All DOE Office Websites (Extended Search)

Plant Identification Plant Identification Once your restoration is started and plants begin to germinate, the next issue you are faced with is the identification of what is growing. From my experience, the seeds you planted should start germinating after about a week to ten days. Of course, this is dependent on the weather conditions and the amount of moisture in the soil. If you are watering regularly, you will get growth much more quickly than if you are just waiting for nature to take its course. Identifying prairie plants as they germinate is very difficult. If you are an experienced botanist or an expert on prairie plants, your identification will still be a little more than an educated guess. In other words identifying prairie species from non-native species will take some time.

258

Conditional sterility in plants  

DOE Patents (OSTI)

The present disclosure provides methods, recombinant DNA molecules, recombinant host cells containing the DNA molecules, and transgenic plant cells, plant tissue and plants which contain and express at least one antisense or interference RNA specific for a thiamine biosynthetic coding sequence or a thiamine binding protein or a thiamine-degrading protein, wherein the RNA or thiamine binding protein is expressed under the regulatory control of a transcription regulatory sequence which directs expression in male and/or female reproductive tissue. These transgenic plants are conditionally sterile; i.e., they are fertile only in the presence of exogenous thiamine. Such plants are especially appropriate for use in the seed industry or in the environment, for example, for use in revegetation of contaminated soils or phytoremediation, especially when those transgenic plants also contain and express one or more chimeric genes which confer resistance to contaminants.

Meagher, Richard B. (Athens, GA); McKinney, Elizabeth (Athens, GA); Kim, Tehryung (Taejeon, KR)

2010-02-23T23:59:59.000Z

259

Crystals and Plants  

NLE Websites -- All DOE Office Websites (Extended Search)

Crystals and Plants Crystals and Plants Name: Diab Location: N/A Country: N/A Date: N/A Question: What will the likely effects of crystallized filaments in plant cells be? I had noticed that moth balls (para dichlorbenzene) tends within a very short temperature range to transform from a solid to gas and back to solid in the form of crystal filaments. I been wondering about the likely effects of an experiment in which a plant is placed in a chamber saturated with the fumes of a substance that had the same transformation properties of its state but none of the toxic effects be on the plants and will such filaments form inside the cell and rearrange its DNA strands or kill it outright? Replies: The following might be helpful: http://biowww.clemson.edu/biolab/mitosis.html http://koning.ecsu.ctstateu.edu/Plant_Physiology/osmosis.html

260

Proposed ILC Parameters T.O. Raubenheimer  

NLE Websites -- All DOE Office Websites (Extended Search)

-05-98 -05-98 Proposed ILC Parameters T.O. Raubenheimer and K. Yokoya Introduction In this note, we describe the proposed working parameter set for the KEK-SLAC ILC linear collider and discuss the reasons leading to the values listed; more ex- tensive discussion of the optimization process will be found in subsequent notes. The parameter set is listed in Table 1 and is compared with the JLC 3-97 parameters and the NLC ZDR parameters in Table 2. The new parameter set has an operating plane which ranges from low IP emittances and high luminosity (cases A) to large IP emittances and smaller luminosity (cases C). Over this range, the bunch charge, bunch length, and IP beta functions are varied, however, the parameters have been chosen so that the tolerances on the accelerating structures are roughly constant. The collider must be designed to operate over the entire parameter range. In all cases,

Note: This page contains sample records for the topic "learning parameters plants" 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

Hail Parameter Relations: A Comprehensive Digest  

Science Conference Proceedings (OSTI)

Diagrams are presented which display the relationships between hailstone size distribution parameters and integral quantities defined in terms of these parameters. It is assumed that the hailstones are spherical and homogeneous, are distributed ...

Carlton W. Ulbrich; David Atlas

1982-01-01T23:59:59.000Z

262

Electrical generating plant availability  

SciTech Connect

A discussion is given of actions that can improve availability, including the following: the meaning of power plant availability; The organization of the electric power industry; some general considerations of availability; the improvement of power plant availability--design factors, control of shipping and construction, maintenance, operating practices; sources of statistics on generating plant availability; effects of reducing forced outage rates; and comments by electric utilities on generating unit availability.

1975-05-01T23:59:59.000Z

263

Dynamic Measurement of Hydraulic Parameters Under Liquid ...  

Search PNNL. PNNL Home; About; Research; Publications; Jobs; News; Contacts; Dynamic Measurement of Hydraulic Parameters Under Liquid Unsaturated Flow ...

264

LESSONS LEARNED LEARNED LESSONS N E P A  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

first Quarter fy 2013 first Quarter fy 2013 march 1, 2013; Issue no. 74 NEPA Lessons Learned March 2013 1 Sharing DOE's NEPA Success Stories A primary purpose of DOE's Lessons Learned Quarterly Report (LLQR), which chronicles the Department's NEPA activities, is to disseminate successful approaches for NEPA compliance. LLQR provides a platform for NEPA Document Managers and other preparers of an environmental impact statement (EIS) or environmental assessment (EA) to evaluate their experience and share lessons learned within the DOE NEPA Community. Information is solicited through a Lessons Learned Questionnaire. Members of the document preparation team for each completed EIS and EA are asked to rate the effectiveness of the NEPA process in terms of protection of the environment and influence on decisionmaking, and

265

Plant Growth and Photosynthesis  

NLE Websites -- All DOE Office Websites (Extended Search)

Plant Growth and Photosynthesis Plant Growth and Photosynthesis Name: Jack Location: N/A Country: N/A Date: N/A Question: Do plants have any other way of growing besides photosythesis? Plants do not use photosynthesis to grow!!! They use cellular respiration just like every other organism to process energy into work. Plants use oxygen just like we do. Photosynthesis is principally only a process to change sunlight into a chemical form for storage. Replies: Check out our archives for more information. www.newton.dep.anl.gov/archive.htm Steve Sample Jack, Several kinds of flowering plants survive without the use of chlorophyll which is what makes plants green and able to produce sugar through photosynthesis. Dodder is a parasitic nongreen (without chlorophyll) plant that is commonly found growing on jewelweed and other plants in damp areas. Dodder twines around its host, (A host is an organism that has fallen victim to a parasite.), like a morning glory and attaches itself at certain points along the stem where it absorbs sugar and nutrients from the hosts sap.

266

Sunrise II Power Plant  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Sunrise Power Company, LLC (Sunrise), has planned the modification of an existing power plant project to increase its generation capacity by 265 megawatts by 2003. The initial...

267

Plant and Lighting  

NLE Websites -- All DOE Office Websites (Extended Search)

publicationshouseplantligh t.html Sincerely, Anthony R. Brach "Artificial" light comes from many kinds of bulbs that emit different wavelengths of light; Many plants...

268

Repurposing a Hydroelectric Plant.  

E-Print Network (OSTI)

??This thesis project explores repurposing a hydroelectric plant along Richmond Virginia's Canal Walk. The building has been redesigned to create a community-oriented space programmed as… (more)

Pritcher, Melissa

2008-01-01T23:59:59.000Z

269

& Immobilization Plant Project  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

the current mixing, erosion, corrosion, instrumentation and monitoring challenges at the Waste Treatment Plant (WTP) in Hanford. The "black cell" design concept and the use of...

270

St. Louis FUSRAP Lessons Learned  

SciTech Connect

The purpose of this paper is to present lessons learned from fours years' experience conducting Remedial Investigation and Remedial Action activities at the St. Louis Downtown Site (SLDS) under the Formerly Utilized Sites Remedial Action Program (FUSRAP). Many FUSRAP sites are experiencing challenges conducting Remedial Actions within forecasted volume and budget estimates. The St. Louis FUSRAP lessons learned provide insight to options for cost effective remediation at FUSRAP sites. The lessons learned are focused on project planning (budget and schedule), investigation, design, and construction.

Eberlin, J.; Williams, D.; Mueller, D.

2003-02-26T23:59:59.000Z

271

A learning apprentice for browsing  

E-Print Network (OSTI)

This paper describes the task of browsing and an agent we have dev eloped to improve the speed and success rate of browsing. The agent is a learning apprentice: it monitors the user’s normal browsing actions and learns a measure of "relevance " to the user interests. It searches the library being browsed, uses the learned measure to evaluate items and presents to the user those that are most relevant. The paper discusses the main issues raised during the development of the browsing agent. These are of general interest not only because browsing is of considerable practical importance but also because it represents a prototypical task for

Robert C. Holte; Chris Drummond

1994-01-01T23:59:59.000Z

272

Statistical Mechanics of Dictionary Learning  

E-Print Network (OSTI)

Finding a basis matrix (dictionary) by which objective signals are represented sparsely is of major relevance in various scientific and technological fields. We consider a problem to learn a dictionary from a set of training signals. We employ techniques of statistical mechanics of disordered systems to evaluate the size of the training set necessary to typically succeed in the dictionary learning. The results indicate that the necessary size is much smaller than previously estimated, which theoretically supports and/or encourages the use of dictionary learning in practical situations.

Sakata, Ayaka

2012-01-01T23:59:59.000Z

273

Free Parameters and Frameworks in Minimal Supersymmetry  

E-Print Network (OSTI)

405 Appendix A Free Parameters and Frameworks in Minimal Supersymmetry It is useful to discuss what the various schemes that exist for reducing the set of free parameters to a manageable number. The information, and so is fixed by experiment. The free parameters consist mainly of the coefficients of the "soft

274

Free Parameters and Frameworks in Minimal Supersymmetry  

E-Print Network (OSTI)

405 Appendix A Free Parameters and Frameworks in Minimal Supersymmetry It is useful to discuss what the various schemes that exist for reducing the set of free parameters to a manageable number. The information, and so is fixed by experiment. The free parameters consist mainly of the coe#cients of the ``soft

275

AVESTAR Center for Operational Excellence of Electricity Generation Plants  

Science Conference Proceedings (OSTI)

To address industry challenges in attaining operational excellence for electricity generation plants, the U.S. Department of Energy’s (DOE) National Energy Technology Laboratory (NETL) has launched a world-class facility for Advanced Virtual Energy Simulation Training and Research (AVESTARTM). This presentation will highlight the AVESTARTM Center simulators, facilities, and comprehensive training, education, and research programs focused on the operation and control of high-efficiency, near-zero-emission electricity generation plants. The AVESTAR Center brings together state-of-the-art, real-time, high-fidelity dynamic simulators with full-scope operator training systems (OTSs) and 3D virtual immersive training systems (ITSs) into an integrated energy plant and control room environment. AVESTAR’s initial offering combines--for the first time--a “gasification with CO2 capture” process simulator with a “combined-cycle” power simulator together in a single OTS/ITS solution for an integrated gasification combined cycle (IGCC) power plant with carbon dioxide (CO2) capture. IGCC systems are an attractive technology option for power generation, especially when capturing and storing CO2 is necessary to satisfy emission targets. The AVESTAR training program offers a variety of courses that merge classroom learning, simulator-based OTS learning in a control-room operations environment, and immersive learning in the interactive 3D virtual plant environment or ITS. All of the courses introduce trainees to base-load plant operation, control, startups, and shutdowns. Advanced courses require participants to become familiar with coordinated control, fuel switching, power-demand load shedding, and load following, as well as to problem solve equipment and process malfunctions. Designed to ensure work force development, training is offered for control room and plant field operators, as well as engineers and managers. Such comprehensive simulator-based instruction allows for realistic training without compromising worker, equipment, and environmental safety. It also better prepares operators and engineers to manage the plant closer to economic constraints while minimizing or avoiding the impact of any potentially harmful, wasteful, or inefficient events. The AVESTAR Center is also used to augment graduate and undergraduate engineering education in the areas of process simulation, dynamics, control, and safety. Students and researchers gain hands-on simulator-based training experience and learn how the commercial-scale power plants respond dynamically to changes in manipulated inputs, such as coal feed flow rate and power demand. Students also analyze how the regulatory control system impacts power plant performance and stability. In addition, students practice start-up, shutdown, and malfunction scenarios. The 3D virtual ITSs are used for plant familiarization, walk-through, equipment animations, and safety scenarios. To further leverage the AVESTAR facilities and simulators, NETL and its university partners are pursuing an innovative and collaborative R&D program. In the area of process control, AVESTAR researchers are developing enhanced strategies for regulatory control and coordinated plant-wide control, including gasifier and gas turbine lead, as well as advanced process control using model predictive control (MPC) techniques. Other AVESTAR R&D focus areas include high-fidelity equipment modeling using partial differential equations, dynamic reduced order modeling, optimal sensor placement, 3D virtual plant simulation, and modern grid. NETL and its partners plan to continue building the AVESTAR portfolio of dynamic simulators, immersive training systems, and advanced research capabilities to satisfy industry’s growing need for training and experience with the operation and control of clean energy plants. Future dynamic simulators under development include natural gas combined cycle (NGCC) and supercritical pulverized coal (SCPC) plants with post-combustion CO2 capture. These dynamic simulators are targeted for us

Zitney, Stephen

2012-08-29T23:59:59.000Z

276

Decontamination and dismantlement of Plant 7 at Fernald  

SciTech Connect

Decontamination and dismantlement (D&D) tasks have been successfully completed on Plant 7 at the Fernald Environmental Management Project. The seven story facility was radiologically, chemically, and biologically contaminated. The work involved the D&D work beginning with safe shutdown and gross decontamination, and ended with removal of the structural steel. A series of lessons learned were gained which include use of explosives, bidding tactics, safe shutdown, building decontamination and lockdown, use of seam climbers, etc.

Albertin, M.; Borgman, T.; Zebick, B.

1994-11-07T23:59:59.000Z

277

CoalFleet Guideline for Advanced Pulverized Coal Power Plants  

Science Conference Proceedings (OSTI)

This report provides an overview of state-of-the-art and emerging technologies for pulverized coal (PC) fired generating units along with lessons learned from current plants worldwide. The report also facilitates the timely deployment of reliable, next-generation units that incorporate: Higher steam conditions for improved efficiency and reduced pollutants and CO2 Advanced environmental controls for reduced emissions and environmental impacts Techniques for CO2 capture, or for future retrofit of CO2 capt...

2007-09-30T23:59:59.000Z

278

CoalFleet Guideline for Advanced Pulverized Coal Power Plants  

Science Conference Proceedings (OSTI)

This report provides an overview of state-of-the-art and emerging technologies for pulverized coal (PC) fired generating units along with lessons learned from current plants worldwide. The report is designed to facilitate the timely deployment of reliable, next-generation units that incorporate higher steam conditions that improve efficiency and thereby decrease fuel consumption, CO2 emissions, and other environmental impacts; advanced environmental controls that reduce emissions and discharges of solid ...

2008-03-31T23:59:59.000Z

279

CoalFleet Guideline for Advanced Pulverized Coal Power Plants  

Science Conference Proceedings (OSTI)

This report provides an overview of state-of-the-art and emerging technologies for pulverized coal (PC-) fired generating units along with lessons learned from current plants worldwide. The report is designed to facilitate the timely deployment of reliable, next-generation units that incorporate higher steam conditions that improve efficiency and thereby decrease fuel consumption, CO2 emissions, and other environmental impacts; advanced environmental controls that reduce emissions and discharges of solid...

2010-09-30T23:59:59.000Z

280

Advanced nuclear plant control room complex  

DOE Patents (OSTI)

An advanced control room complex for a nuclear power plant, including a discrete indicator and alarm system (72) which is nuclear qualified for rapid response to changes in plant parameters and a component control system (64) which together provide a discrete monitoring and control capability at a panel (14-22, 26, 28) in the control room (10). A separate data processing system (70), which need not be nuclear qualified, provides integrated and overview information to the control room and to each panel, through CRTs (84) and a large, overhead integrated process status overview board (24). The discrete indicator and alarm system (72) and the data processing system (70) receive inputs from common plant sensors and validate the sensor outputs to arrive at a representative value of the parameter for use by the operator during both normal and accident conditions, thereby avoiding the need for him to assimilate data from each sensor individually. The integrated process status board (24) is at the apex of an information hierarchy that extends through four levels and provides access at each panel to the full display hierarchy. The control room panels are preferably of a modular construction, permitting the definition of inputs and outputs, the man machine interface, and the plant specific algorithms, to proceed in parallel with the fabrication of the panels, the installation of the equipment and the generic testing thereof.

Scarola, Kenneth (Windsor, CT); Jamison, David S. (Windsor, CT); Manazir, Richard M. (North Canton, CT); Rescorl, Robert L. (Vernon, CT); Harmon, Daryl L. (Enfield, CT)

1993-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "learning parameters plants" 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

Utility Energy Service Contracts - Lessons Learned  

NLE Websites -- All DOE Office Websites (Extended Search)

Service Contracts-Lessons Learned Service Contracts-Lessons Learned Utility Energy Services Contracts Lessons Learned Water Conservation Negotiating Financing Lowering Finance Rates Utility Energy Service Contracts-Lessons Learned 2 -- FEDERAL ENERGY MANAGEMENT PROGRAM Contents Introduction .............................................................................................................................................................................3 Financing Utility Energy Services Contracts ..........................................................................................................................3 Understanding Financing Factors ...........................................................................................................................................3

282

Mobile application for learning the Thai language  

Science Conference Proceedings (OSTI)

At present, mobile learning has increased popularity as it offers a better opportunity to leverage educational level. The major advantage of mobile learning is the ability to learn from anywhere at any time using the wireless internet access available ... Keywords: Thai language, m-Learning, mobile services oriented architecture (MSOA) framework, web services

Wichian Premchaiswadi; Nucharee Premchaiswadi

2011-07-01T23:59:59.000Z

283

Organizational Learning: From Experience to Knowledge  

Science Conference Proceedings (OSTI)

Organizational learning has been an important topic for the journal Organization Science and for the field. We provide a theoretical framework for analyzing organizational learning. According to the framework, organizational experience interacts ... Keywords: creativity, innovation, knowledge transfer, learning curves, organizational learning, organizational memory

Linda Argote; Ella Miron-Spektor

2011-09-01T23:59:59.000Z

284

Scalable Active Learning for Multiclass Image Classification  

Science Conference Proceedings (OSTI)

Machine learning techniques for computer vision applications like object recognition, scene classification, etc., require a large number of training samples for satisfactory performance. Especially when classification is to be performed over many categories, ... Keywords: Training,Support vector machines,Training data,Noise,Accuracy,Learning systems,Couplings,object recognition,Active learning,scalable machine learning,multiclass classification

Ajay J. Joshi; Fatih Porikli; Nikos Papanikolopoulos

2012-11-01T23:59:59.000Z

285

DARPA Learning Applied to Ground Robots (LAGR)  

Science Conference Proceedings (OSTI)

DARPA Learning Applied to Ground Robots (LAGR) Project (Concluded). Summary: The National Institute of Standards ...

2012-01-04T23:59:59.000Z

286

Utility Energy Service Contracts - Lessons Learned  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Service Contracts-Lessons Learned Service Contracts-Lessons Learned Utility Energy Services Contracts Lessons Learned Water Conservation Negotiating Financing Lowering Finance Rates Utility Energy Service Contracts-Lessons Learned 2 -- FEDERAL ENERGY MANAGEMENT PROGRAM Contents Introduction .............................................................................................................................................................................3 Financing Utility Energy Services Contracts ..........................................................................................................................3 Understanding Financing Factors ...........................................................................................................................................3

287

Condensers for Combined-Cycle Plants: Air-Cooled and Water-Cooled Condensers Design Best Practices and Procurement Specifications  

Science Conference Proceedings (OSTI)

Natural Gas Combined-Cycle (NGCC) power plants are expected to play an increasing role in the mix of new power generation. Additional guidance is needed for utilities, contracted engineering firms, and suppliers to better specify, design, supply, and operate these next-generation plants. This document focuses on the steam condensers, both wet and air-cooled, which are anticipated to serve these plants. It provides guidance, best practices, and lessons learned in regard to these condensers and offers insi...

2010-11-25T23:59:59.000Z

288

Co-Lab: research and development of an online learning environment for collaborative scientific discovery learning  

Science Conference Proceedings (OSTI)

There are many design challenges that must be addressed in the development of collaborative scientific discovery learning environments. This contribution presents an overview of how these challenges were addressed within Co-Lab, a collaborative learning ... Keywords: Collaborative learning, Dynamic modeling, Inquiry learning, Learning environments

Wouter R. van Joolingen; Ton de Jong; Ard W. Lazonder; Elwin R. Savelsbergh; Sarah Manlove

2005-07-01T23:59:59.000Z

289

Productive use of learning resources in an online problem-based learning environment  

Science Conference Proceedings (OSTI)

This study examined students' use of learning resources in a technologically-mediated online learning environment. Undergraduate student groups were engaged in an online problem-based learning (PBL) environment, rich with pre-selected video and knowledge ... Keywords: Contrasting cases analysis, Knowledge resources, Learning resources, Online hypermedia environments, Problem-based learning (PBL), Video resources

Heisawn Jeong; Cindy E. Hmelo-Silver

2010-01-01T23:59:59.000Z

290

Instructional video in e-learning: assessing the impact of interactive video on learning effectiveness  

Science Conference Proceedings (OSTI)

Interactive video in an e-learning system allows proactive and random access to video content. Our empirical study examined the influence of interactive video on learning outcome and learner satisfaction in e-learning environments. Four different settings ... Keywords: e-learning, interactive video, learning effectiveness

Dongsong Zhang; Lina Zhou; Robert O. Briggs; Jay F. Nunamaker, Jr.

2006-01-01T23:59:59.000Z

291

Instructional video in e-learning: Assessing the impact of interactive video on learning effectiveness  

Science Conference Proceedings (OSTI)

Interactive video in an e-learning system allows proactive and random access to video content. Our empirical study examined the influence of interactive video on learning outcome and learner satisfaction in e-learning environments. Four different settings ... Keywords: E-learning, Interactive video, Learning effectiveness

Dongsong Zhang; Lina Zhou; Robert O. Briggs; Jay F. Nunamaker, Jr.

2006-01-01T23:59:59.000Z

292

Lessons Learned Quarterly Report, March 2006 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

6 6 Lessons Learned Quarterly Report, March 2006 Welcome to the 46th quarterly report on lessons learned in the NEPA process. DOE's senior managers play a vital role in NEPA implementation as evidenced by the settlement of Hanford NEPA litigation. Their participation in every EIS is important to ensure the scope and schedule support DOE's needs, as shown by an analysis of EIS metrics in this issue. As always, we welcome your suggestions for continuous improvement. Articles included in this issue: Collaboration Yields Win-Win Solution at Hanford DOE Applies "Alternative NEPA Arrangements" After Ordering Coal Power Plant to Operate Congressional NEPA Task Force Staff Initial Report Quality Assurance in NEPA Documents NAEP Annual Conference DOE Solicits Comments on FutureGen

293

Lessons Learned Quarterly Report | Department of Energy  

NLE Websites -- All DOE Office Websites (Extended Search)

Lessons Learned Quarterly Report Lessons Learned Quarterly Report Lessons Learned Quarterly Report DOE's NEPA Lessons Learned Program was initiated in 1994 to foster continuous improvement in NEPA compliance by measuring DOE NEPA performance and gathering information learned through NEPA experience. The Program collects and publishes time and cost metrics to help DOE objectively focus on controlling these aspects of its NEPA compliance, and disseminates information broadly relevant to NEPA implementation, such guidance on public participation and interagency coordination procedures. The keystone of DOE's NEPA Lessons Learned Program is the Lessons Learned Quarterly Report (LLQR). The LLQR is produced as a means of disseminating NEPA program metrics, along with related guidance, case studies, analysis,

294

Lessons Learned Database | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Lessons Learned Database Lessons Learned Database Lessons Learned Database The DOE Corporate Lessons Learned Database provides a central clearinghouse that allows ready access to and communication about collected information on a timely, unimpeded basis by all DOE elements. The database is used to collect and share lessons learned and best practices pertaining to all DOE activities Lessons Learned Database Login Welcome to the Lessons Learned site, the premier Web tool for online information sharing regarding Lessons Learned issues. Please login to access your profile, search the database, or submit a new Lesson Learned. User Log In: If you have already received your log in credentials for the DOE Lessons Learned system click here to log in. Create New Account: We do not allow anonymous access to this site. You must register for an

295

Learning a theory of causality  

E-Print Network (OSTI)

The very early appearance of abstract knowledge is often taken as evidence for innateness. We explore the relative learning speeds of abstract and specific knowledge within a Bayesian framework and the role for innate ...

Goodman, Noah D.

296

Lessons Learned | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Services » Ecosystem Management Team » Lessons Learned Services » Ecosystem Management Team » Lessons Learned Lessons Learned Ecosystem Managment February 28, 2008 Long-Term Surveillance and Maintenance at Rocky Flats: Early Experiences and Lessons Learned February 28, 2008 The Use of Ecological Restoration Principles To Achieve Remedy Protection at the Fernald Preserve and Weldon Spring Sites December 31, 2007 Revegetation of the Rocky Flats Site December 31, 2007 Changes in Vegetation at the Monticello, Utah, Disposal Site January 31, 2007 Study of Factors Affecting Shrub Establishment on the Monticello, Utah, Disposal Cell Cover June 5, 2006 Smooth Brome Monitoring at Rocky Flats-2005 Results December 31, 2002 Landfill Cover Revegetation at the Rocky Flats Environmental Technology Site December 31, 2001 Erosion Control and Revegetation at DOE's Lowman Disposal Site, Lowman,

297

Designing technology enhanced learning contexts  

Science Conference Proceedings (OSTI)

Through iterative participatory design-based research I aim to explore the application of the Ecology of Resources (EoR) Framework (Luckin, 2008) to the design of technology enhanced contexts that scaffold learning and collaboration. Technology enhanced ...

Joshua Underwood

2009-06-01T23:59:59.000Z

298

Conditions for learning from animations  

Science Conference Proceedings (OSTI)

Animated diagrams representing dynamic systems hold great potential for improving the way people learn. However, so far the literature failed to find clear benefits of animated diagrams. Consequently it is worthwhile to investigate conditions under which ...

Herre Van Oostendorp; Michiel J. Beijersbergen; Sam Solaimani

2008-06-01T23:59:59.000Z

299

Learning for informative path planning  

E-Print Network (OSTI)

Through the combined use of regression techniques, we will learn models of the uncertainty propagation efficiently and accurately to replace computationally intensive Monte- Carlo simulations in informative path planning. ...

Park, Sooho, S.M. Massachusetts Institute of Technology

2008-01-01T23:59:59.000Z

300

Dynamic Pricing: A learning Approach  

E-Print Network (OSTI)

We present an optimization approach for jointly learning the demand as a functionof price, and dynamically setting prices of products in an oligopoly environment in order to maximize expected revenue. The models we consider ...

Bertsimas, Dimitris J.

Note: This page contains sample records for the topic "learning parameters plants" 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

Personal information management and learning  

Science Conference Proceedings (OSTI)

Students today collect and organise information on a daily basis in their PCs, laptops and mobiles, creating a personal information archive that contains items related to their learning tasks. Personal information management (PIM) is the activities users ...

Sharon Hardof-Jaffe; Rafi Nachmias

2011-02-01T23:59:59.000Z

302

Restricted Bayesian Network Structure Learning  

E-Print Network (OSTI)

Learning the structure of a Bayesian network from data is a difficult problem, as its associated search space is exponentially large. As a consequence, researchers have studied learning Bayesian networks with a fixed structure, notably naive Bayesian networks and tree-augmented Bayesian networks. There is substantial evidence in the literature that the performance of such restricted networks can be surprisingly good. In this paper, we propose a restricted, polynomial time structure learning algorithm that is not as restrictive as both other approaches, and allows researchers to determine the right balance between performance in dealing with classification, as well as with respect to quality of the underlying probability distribution. The results obtained with this algorithm allows drawing some conclusions with regard to Bayesian-network structure learning in general.

Peter Lucas

2002-01-01T23:59:59.000Z

303

Learning to resolve bridging references  

Science Conference Proceedings (OSTI)

We use machine learning techniques to find the best combination of local focus and lexical distance features for identifying the anchor of mereological bridging references. We find that using first mention, utterance distance, and lexical distance computed ...

Massimo Poesio; Rahul Mehta; Axel Maroudas; Janet Hitzeman

2004-07-01T23:59:59.000Z

304

Learning for deep language understanding  

Science Conference Proceedings (OSTI)

The paper addresses the problem of learning to parse sentences to logical representations of their underlying meaning, by inducing a syntactic-semantic grammar. The approach uses a class of grammars which has been proven to be learnable from representative ...

Smaranda Muresan

2011-07-01T23:59:59.000Z

305

Machine learning for software reuse  

Science Conference Proceedings (OSTI)

Recent work on learning apprentice systems suggests new approaches for using interactive programming environments to promote software reuse. Methodologies for software specification and validation yield natural domains of application for explanation-based ...

Walter L. Hill

1987-08-01T23:59:59.000Z

306

Implicit learning of semantic preferences  

E-Print Network (OSTI)

conditioning relies on conscious predictive relationships between events. In psychology, the putative demonstrations of implicit learning so far have predominantly been based on perceptual form-level regularities, e.g. letter sequences. This has led...

Paciorek, Albertyna

2013-04-16T23:59:59.000Z

307

: Computer Aided Learning in Computer  

E-Print Network (OSTI)

CAL2 : Computer Aided Learning in Computer Architecture Laboratory JOVAN DJORDJEVIC,1 BOSKO NIKOLIC,1 TANJA BOROZAN,1 ALEKSANDAR MILENKOVIC´ 2 1 Computer Engineering Department, Faculty of Electrical Engineering, University of Belgrade, Belgrade, Serbia 2 Electrical and Computer Engineering Department

Milenkovi, Aleksandar

308

NEPA Lessons Learned, September 2005  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

5 1 5 1 Register through the DOE NEPA Conference Web site at www.NEPA35.org National Environmental Policy Act N E P A U.S. DEPARTMENT OF ENERGY QUARTERLY REPORT Third Quarter FY 2005 September 1, 2005; Issue No. 44 LESSONS LEARNED LEARNED LESSONS To observe the 35th anniversary of the National Environmental Policy Act (NEPA), the Department of Energy's (DOE's) Office of Environment, Safety

309

Modulating lignin in plants  

DOE Patents (OSTI)

Materials and methods for modulating (e.g., increasing or decreasing) lignin content in plants are disclosed. For example, nucleic acids encoding lignin-modulating polypeptides are disclosed as well as methods for using such nucleic acids to generate transgenic plants having a modulated lignin content.

Apuya, Nestor; Bobzin, Steven Craig; Okamuro, Jack; Zhang, Ke

2013-01-29T23:59:59.000Z

310

NUCLEAR POWER PLANT  

DOE Patents (OSTI)

A nuclear power plant for use in an airless environment or other environment in which cooling is difficult is described. The power plant includes a boiling mercury reactor, a mercury--vapor turbine in direct cycle therewith, and a radiator for condensing mercury vapor. (AEC)

Carter, J.C.; Armstrong, R.H.; Janicke, M.J.

1963-05-14T23:59:59.000Z

311

BNL | Plant Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

Plant Sciences Plant Sciences The Plant Sciences group's goal is to understand the principles underlying carbon capture, conversion, and storage in living systems; and develop the capability to model, predict and optimize these processes in plants and microorganisms. Staff Members John Shanklin Jason Candreva Jilian Fan Hui Liu Qin Liu Edward Whittle Xiaohong Yu Dax Fu Jin Chai Chang-Jun Liu Yuanheng Cai Mingyue Gou Guoyin Kai Zhaoyang Wei Huijun Yang Kewei Zhang Xuebin Zhang Jörg Schwender Jordan Hay Inga Hebbelmann Hai Shi Zhijie Sun Changcheng Xu Chengshi Yan Zhiyang Zhai Plant Sciences Contact John Shanklin, (631)344-3414 In the News No stories available Funding Agencies DOE Basic Energy Sciences Bayer CropScience The Biosciences Department is part of the Environment and Life Sciences Directorate at Brookhaven National Laboratory

312

Granby Pumping Plant  

NLE Websites -- All DOE Office Websites (Extended Search)

Granby Pumping Plant Granby Pumping Plant Skip Navigation Links Transmission Functions Infrastructure projects Interconnection OASIS OATT Granby Pumping Plant-Windy Gap Transmission Line Rebuild Project Western owns and operates a 12-mile, 69-kV electric transmission line in Grand County, Colo., that originates at Windy Gap Substation and terminates at Granby Pumping Plant Switchyard. The proposed project would rebuild the single circuit line as a double circuit transmission line and add a second power transformer. One circuit would replace the existing 69-kV line; the other circuit would be a new 138-kV line. Granby Pumping Plant Switchyard would be expanded to accommodate the second line and power transformer. Windy Gap Substation would be modified to accommodate the second line.

313

Activity Theory to Guide Online Collaborative Learning Instructional Design  

Science Conference Proceedings (OSTI)

Learning Management Systems LMS are facing challenges to improve its traditional focus on individual learning towards social learning. Despite the great success in distributing learning materials and managing students, the availability of the read and ... Keywords: Activity Theory, Computer-Supported Collaborative Learning, Instructional Design, Knowledge Building, Learning Management System, Online Collaborative Learning, Qualitative Method, Quantitative Method, Teachers Training

Siti Rosni Mohamad Yusoff, Nor Azan Mat Zin

2012-04-01T23:59:59.000Z

314

Emotional and aesthetic factors of virtual mobile learning environments  

Science Conference Proceedings (OSTI)

This paper discusses the theoretical starting points and design considerations for addressing the emotional and aesthetic aspects of Virtual Learning Environments (VLEs) in support of ubiquitous teaching, studying and learning. It is asserted ... Keywords: VLEs, aesthetics, communication, emotions, learning regulation, mobile learning, network-based learning, psychosocial regulation, ubiquitous learning, ubiquitous studying, virtual learning environments

Tom Page; Marian Hepburn; Miika Lehtonen; Gisli Thorsteinsson; Subramanian Arunachalam

2007-03-01T23:59:59.000Z

315

Assessment of Air Preheater Effects on Power Plant Efficiency  

Science Conference Proceedings (OSTI)

Air Preheaters (APHs) improve overall boiler efficiency by transferring heat from the boiler exhaust gases to the incoming air used for combustion and coal drying. APH performance can have a significant impact on plant efficiency, and therefore fuel consumption, carbon dioxide (CO2) emissions and power plant economics. This report summarizes the major relationship between APH parameters and heat rate, and presents some preliminary guidelines for evaluating APH upgrades.

2008-12-17T23:59:59.000Z

316

Planning to learn: Integrating model learning into a trajectory planner for mobile robots  

E-Print Network (OSTI)

For a mobile robot that performs online model learning, the learning rate is a function of the robot's trajectory. The tracking errors that arise when the robot executes a motion plan depend on how well the robot has learned ...

Hover, Franz S.

317

Parametric cost analysis of a HYLIFE-II power plant  

SciTech Connect

The SAFIRE (Systems Analysis for ICF Reactor Economics) code was adapted to model a power plant using a HYLIFE-II reactor chamber. The code was then used to examine the dependence of the plant capital costs and busbar cost of electricity (COE) on a variety of design parameters (type of driver, chamber repetition rate, and net electric power). The results show the most attractive operating space for each set of driver/target assumptions and quantify the benefits of improvements in key design parameters. The base case plant was a 1,000 MWe plant containing a reactor vessel driven by an induction linac heavy ion accelerator run at 7.3 Hz with a driver energy of 5 MJ and a target yield of 370 MJ. The total direct cost for this plant was 2,800 M$ (where all $ in this paper are 1988$s), and the COE was 9 {cents}/KW*hour. The COE and total capital costs for the base plant assumptions for a 1,000 MWe plant are approximately independent of chosen repetition rate for all repetition rates between 4 and 10 Hz. For comparison, the COE for a coal or future fission plant would be 4.5--5.5 {cents}/KW*hour. The COE for a 1,000 MWe plant could be reduced to 7.6 {cents}/KW*hour by using advanced targets and could be cut to 6.8 {cents}/KW*hour with conventional targets if the driver cost could be cut in half. There is a large economy of scale with heavy ion driven ICF plants; a 5,000 MWe plant with one heavy ion driver and either one or two HYLIFE-II chambers would have a COE of only 4.4 {cents}/KW*hour.

Bieri, R.L. (Lawrence Livermore National Lab., CA (USA) Massachusetts Inst. of Tech., Cambridge, MA (USA))

1990-10-04T23:59:59.000Z

318

NREL: Learning - Pumped Hydropower  

NLE Websites -- All DOE Office Websites (Extended Search)

Pumped Hydropower Pumped Hydropower Pumped hydro facilities use off-peak electricity to pump water from a lower reservoir into one at a higher elevation. When the water stored in the upper reservoir is released, it is passed through hydraulic turbines to generate electricity. The off-peak electrical energy used to pump the water up hill can be stored indefinitely as gravitational energy in the upper reservoir. Thus, two reservoirs in combination can be used to store electrical energy for a long period of time, and in large quantities. Utilities generally prefer to operate large coal and nuclear power stations at full power all the time (referred to as "baseload generation"), so in the middle of the night, these plants often produce more power than is needed. Pumped hydro energy storage can be used to smooth out the demand

319

Success of the first nuclear power plant built on China`s self-reliance  

Science Conference Proceedings (OSTI)

Having overcome a series of difficulties and hard points, the first Chinese indigenous nuclear power plant, Qinshan Nuclear Power Plant of PWR type with the capacity of 300MW(e) is now in steady operation. Through tremendous works done for this project great achievements and experience as well as lessons learned have been obtained for systematic acquisition of nuclear power technology. The sound fact has demonstrated that China has the ability to develop nuclear power mainly depending on self-reliance.

Yu, O.

1994-12-31T23:59:59.000Z

320

Jose Cabrera Nuclear Power Plant Full System Chemical Decontamination Experience Report  

Science Conference Proceedings (OSTI)

Chemical decontamination is one of the key challenging tasks of decommissioning a nuclear power plant. This report describes a full system chemical decontamination at SpainJosCabrera Nuclear Power Plant that sought to facilitate future dismantling by removing contamination and lowering radiation fields. Because of several unique features of the JosCabrera decontamination project, it has provided new good practices and useful lessons learned.

2009-11-17T23:59:59.000Z

Note: This page contains sample records for the topic "learning parameters plants" 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

Nondestructive Evaluation: 11th EPRI Balance-of-Plant Heat Exchanger NDE Symposium Proceedings  

Science Conference Proceedings (OSTI)

The Electric Power Research Institute's (EPRI's) 11th Balance-of-Plant Heat Exchanger Nondestructive Evaluation Symposiumheld in Stevenson, Washington, August 911, 2010 focused on nondestructive evaluation (NDE) technologies and lessons learned related to the inspection, condition assessment, and repair of balance-of-plant (BOP) heat exchanger components. As in the past, this year's symposium included pre-symposium tutorial courses followed by technology transfer through paper presentations and the vendo...

2010-09-30T23:59:59.000Z

322

AVESTAR® - Smart Plant  

NLE Websites -- All DOE Office Websites (Extended Search)

Plant Plant In the area of smart plant operations, AVESTAR's dynamic simulators enable researchers to analyze plant-wide performance over a wide range of operating scenarios, including plant startup (cold, warm, hot), shutdown, fuel switchovers, on-load cycling, high-load operations of 90-120% of rated capacity, and high frequency megawatt changes for automatic generation control. The dynamic simulators also let researchers analyze the plant's response to disturbances and malfunctions. The AVESTAR team is also using dynamic simulators to develop effective strategies for the operation and control of pre-combustion capture technology capable of removing at least 90% of the CO2 emissions. Achieving operational excellence can have significant impact on the extent and the rate at which commercial-scale capture processes will be scaled-up, deployed, and used in the years to come. If deployment of new CO2 capture technologies is to be accelerated, power generators must be confident in ensuring efficient, flexible, reliable, environmentally-friendly, and profitable plant operations.

323

Lessons Learned Quarterly Report Archive | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

December 1, 2000 Lessons Learned Quarterly Report, December 2000 Welcome to the 25th quarterly report on lessons learned in the NEPA process. September 1, 2000 Lessons Learned...

324

Lessons Learned Quarterly Report Archive | Department of Energy  

NLE Websites -- All DOE Office Websites (Extended Search)

Lessons Learned September 6, 2013 Lessons Learned Quarterly Report, September 2013 Welcome to the 76th quarterly report on lessons learned in the NEPA process. This issue...

325

Constructivist learning : an operational approach for designing adaptive learning environments supporting cognitive flexibility.  

E-Print Network (OSTI)

??Constructivism is a learning theory that states that people learn by actively constructing their own knowledge, based on prior knowledge. Many different perspectives exist on… (more)

Vu Minh, Chieu

2005-01-01T23:59:59.000Z

326

NREL: Learning - Geothermal Electricity Production  

NLE Websites -- All DOE Office Websites (Extended Search)

Electricity Production Electricity Production Photo of a geothermal power plant. This geothermal power plant generates electricity for the Imperial Valley in California. Geothermal power plants use steam produced from reservoirs of hot water found a few miles or more below the Earth's surface to produce electricity. The steam rotates a turbine that activates a generator, which produces electricity. There are three types of geothermal power plants: dry steam, flash steam, and binary cycle. Dry Steam Dry steam power plants draw from underground resources of steam. The steam is piped directly from underground wells to the power plant where it is directed into a turbine/generator unit. There are only two known underground resources of steam in the United States: The Geysers in northern California and Yellowstone National Park in Wyoming, where there's

327

Automated Tuning of Optimization Software Parameters  

E-Print Network (OSTI)

ACM Press, Washington DC, USA, 1085–1086. Kohavi, Ron, George John. 1995. Automatic parameter selection by minimizing estimated error. Armand.

328

ISG8-Parameters, Design, Instrumentation and Tuning  

NLE Websites -- All DOE Office Websites (Extended Search)

Parameters, Design, Instrumentation and Tuning (WG1) Bldg.212 Cascades Conference Rm. K. Kubo, T. Raubenheimer, P. Tenenbaum, K. Yokoya Parallel Sessions: Working Groups: WG1:...

329

PM-1 NUCLEAR POWER PLANT PROGRAM PARAMETRIC STUDY REPORT  

SciTech Connect

The study deals with narrowing the range of parameters prior to preliminary design of the PM-1, a factory prepackaged, air-transportable, pressurized water nuclear power plant. The plant is to produce 1000 kw of net electrical power and 7 x 10/sup 6/ Btu/hr of space heat that is suitable for use with a central heating system. The data and conclusions resulting from the parametric study will provide the basis for the preliminary design of the PM-1 power plant. (W.D.M.)

Sieg, J.S.

1959-09-01T23:59:59.000Z

330

Matheuristics for ?-Learning - Optimization Online  

E-Print Network (OSTI)

cod-rna. 8 59535 20000 gamma. 10 20956 10000 ijcnn1. 22 35000 20000 adult. 123 30956 15000. 3.2 Parameters Setting. (RLM) contains parameter C in its ...

331

Dynamic Analysis of Learning in Behavioral Experiments  

E-Print Network (OSTI)

Understanding how an animal’s ability to learn relates to neural activity or is altered by lesions, different attentional states, pharmacological interventions, or genetic manipulations are central questions in neuroscience. Although learning is a dynamic process, current analyses do not use dynamic estimation methods, require many trials across many animals to establish the occurrence of learning, and provide no consensus as how best to identify when learning has occurred. We develop a state–space model paradigm to characterize learning as the probability of a correct response as a function of trial number (learning curve). We compute the learning curve and its confidence intervals using a state–space smoothing algorithm and define the learning trial as the first trial on which there is reasonable certainty (?0.95) that a subject performs better than chance for the balance of the experiment. For a range of simulated learning experiments, the smoothing algorithm estimated learning curves with smaller mean integrated squared error and identified the learning trials with greater reliability than commonly used methods. The smoothing algorithm tracked easily the rapid learning of a monkey during a single session of an association learning experiment and identified learning 2 to 4 d earlier than accepted criteria for a rat in a 47 d procedural learning experiment. Our state–space paradigm estimates learning curves for single animals, gives a precise definition of learning, and suggests a coherent statistical framework for the design and analysis of learning experiments that could reduce the number of animals and trials per animal that these studies require.

Anne C. Smith; Loren M. Frank; Sylvia Wirth; Marianna Yanike; Dan Hu; Yasuo Kubota; Ann M. Graybiel; Wendy A. Suzuki; Emery N. Brown

2004-01-01T23:59:59.000Z

332

Refinery IGCC plants are exceeding 90% capacity factor after 3 years  

SciTech Connect

Steep learning curves for commercial IGCC plants in Italy show annual capacity factors of 55-60% in the first year of service and improvement to over 90% after the third year. The article reviews the success of three IGCC projects in Italy - those of ISAB Energy, Sarlux Saras and Api Energy. EniPower is commissioning a 250 MW IGCC plant that will burn syngas produced by gasification of residues at an adjacent Eni Sannazzaro refinery in north central Italy. The article lists 14 commercially operating IGCC plants worldwide that together provide close to 3900 MW of generating capacity. These use a variety of feedstock-coals, petroleum coke and refinery residues and biomass. Experience with commercial scale plants in Europe demonstrates that IGCC plants can operate at capacity factors comparable to if not better than conventional coal plants. 2 figs., 1 photo.

Jaeger, H.

2006-01-15T23:59:59.000Z

333

Learning and Development | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Learning and Development Learning and Development Learning and Development Learning Programs Read more Tools & Technologies Read more Performance-Based Culture Read more Products & Services Read more DOE Virtual University Read more The Office of Learning and Workforce Development is the Department's corporate resource for talent development. It provides competency-based programs, services, tools, and strategies to ensure the Department's employees possess the breadth of skills they need in order to successfully accomplish the mission of the Department. We promote talent development through value-added, needs-based, corporate training and development activities. Our goal is to achieve efficient, effective learning and development through evaluation and continuous process improvement efforts.

334

Lessons Learned from Safety Events  

SciTech Connect

The Hydrogen Incident Reporting and Lessons Learned website (www.h2incidents.org) was launched in 2006 as a database-driven resource for sharing lessons learned from hydrogen-related safety events to raise safety awareness and encourage knowledge-sharing. The development of this database, its first uses and subsequent enhancements have been described at the Second and Third International Conferences on Hydrogen Safety. [1,2] Since 2009, continuing work has not only highlighted the value of safety lessons learned, but enhanced how the database provides access to another safety knowledge tool, Hydrogen Safety Best Practices (http://h2bestpractices.org). Collaborations with the International Energy Agency (IEA) Hydrogen Implementing Agreement (HIA) Task 19 – Hydrogen Safety and others have enabled the database to capture safety event learnings from around the world. This paper updates recent progress, highlights the new “Lessons Learned Corner” as one means for knowledge-sharing and examines the broader potential for collecting, analyzing and using safety event information.

Weiner, Steven C.; Fassbender, Linda L.

2012-11-01T23:59:59.000Z

335

Georgia Nuclear Profile - Power Plants  

U.S. Energy Information Administration (EIA) Indexed Site

nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

336

Arkansas Nuclear Profile - Power Plants  

U.S. Energy Information Administration (EIA) Indexed Site

nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

337

Iowa Nuclear Profile - Power Plants  

U.S. Energy Information Administration (EIA) Indexed Site

Iowa nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

338

Ohio Nuclear Profile - Power Plants  

U.S. Energy Information Administration (EIA) Indexed Site

Ohio nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

339

Vermont Nuclear Profile - Power Plants  

U.S. Energy Information Administration (EIA) Indexed Site

nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

340

Florida Nuclear Profile - Power Plants  

U.S. Energy Information Administration (EIA) Indexed Site

Florida nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear...

Note: This page contains sample records for the topic "learning parameters plants" 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

Virginia Nuclear Profile - Power Plants  

U.S. Energy Information Administration (EIA) Indexed Site

nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

342

Washington Nuclear Profile - Power Plants  

U.S. Energy Information Administration (EIA) Indexed Site

Washington nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State...

343

Missouri Nuclear Profile - Power Plants  

U.S. Energy Information Administration (EIA) Indexed Site

nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

344

Nebraska Nuclear Profile - Power Plants  

U.S. Energy Information Administration (EIA) Indexed Site

Nebraska nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear...

345

Tennessee Nuclear Profile - Power Plants  

U.S. Energy Information Administration (EIA) Indexed Site

Tennessee nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear...

346

Connecticut Nuclear Profile - Power Plants  

U.S. Energy Information Administration (EIA) Indexed Site

Connecticut nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State...

347

Minnesota Nuclear Profile - Power Plants  

U.S. Energy Information Administration (EIA) Indexed Site

Minnesota nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear...

348

California Nuclear Profile - Power Plants  

U.S. Energy Information Administration (EIA) Indexed Site

California nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State...

349

Arizona Nuclear Profile - Power Plants  

U.S. Energy Information Administration (EIA) Indexed Site

nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

350

Massachusetts Nuclear Profile - Power Plants  

U.S. Energy Information Administration (EIA) Indexed Site

nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

351

Kansas Nuclear Profile - Power Plants  

U.S. Energy Information Administration (EIA) Indexed Site

Kansas nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear...

352

Alabama Nuclear Profile - Power Plants  

U.S. Energy Information Administration (EIA) Indexed Site

nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

353

Wisconsin Nuclear Profile - Power Plants  

U.S. Energy Information Administration (EIA) Indexed Site

Wisconsin nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear...

354

NETL: Power Plant Improvement Initiative  

NLE Websites -- All DOE Office Websites (Extended Search)

PPII Major Demonstrations Power Plant Improvement Initiative (PPII) The Power Plant Improvement Initiative (PPII) was established in October 2000 to further the commercial-scale...

355

Texas Nuclear Profile - Power Plants  

U.S. Energy Information Administration (EIA) Indexed Site

nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

356

Michigan Nuclear Profile - Power Plants  

U.S. Energy Information Administration (EIA) Indexed Site

nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net...

357

Mississippi Nuclear Profile - Power Plants  

U.S. Energy Information Administration (EIA) Indexed Site

Mississippi nuclear power plants, summer capacity and net generation, 2010" "Plant nametotal reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State...

358

Artificial light and plant growth  

NLE Websites -- All DOE Office Websites (Extended Search)

Artificial light and plant growth Name: Lim Age: NA Location: NA Country: NA Date: NA Question: What color of artificial light works the best in plant growth? Replies:...

359

The First Coal Plants  

NLE Websites -- All DOE Office Websites (Extended Search)

Coal Plants Coal Plants Nature Bulletin No. 329-A January 25, 1969 Forest Preserve District of Cook County George W. Dunne, President Roland F. Eisenbeis, Supt. of Conservation THE FIRST COAL PLANTS Coal has been called "the mainspring" of our civilization. You are probably familiar, in a general way, with the story of how it originated ages ago from beds of peat which were very slowly changed to coal; and how it became lignite or brown coal, sub-bituminous, bituminous, or anthracite coal, depending on bacterial and chemical changes in the peat, how much it was compressed under terrific pressure, and the amount of heat involved in the process. You also know that peat is formed by decaying vegetation in shallow clear fresh-water swamps or bogs, but it is difficult to find a simple description of the kinds of plants that, living and dying during different periods of the earth's history, created beds of peat which eventually became coal.

360

prairie restoration planting  

NLE Websites -- All DOE Office Websites (Extended Search)

Planting Planting The most common method of planting is to broadcast spread your seeds. This is usually done by hand, but you can also use a lawn-type spreader. After you have spread your seeds, rake the area over lightly. For seeds to germinate correctly they need to have good seed to soil contact, but you also don't want to bury the seeds too deeply. The general rule is to cover seeds to a depth no deeper than twice the seed's size. For example, if a seed is 4 mm in size, you would not want to bury it any deeper than 8 mm. The seeds commonly found in a prairie matrix are usually small enough, that raking over the spread seed to mix and cover them with a thin layer of soil, is adequate. If you are involving large numbers of people in the planting, a plastic cup

Note: This page contains sample records for the topic "learning parameters plants" 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

Pollution adn Plant Growth  

NLE Websites -- All DOE Office Websites (Extended Search)

Pollution adn Plant Growth Pollution adn Plant Growth Name: Virdina Location: N/A Country: N/A Date: N/A Question: What are the effcts off water polltuion on plant growth? Are there any good websites where I can find current or on going research being done by other scientist? Replies: Dear Virdina, Possibly helpful: http://www.ec.gc.ca/water/en/manage/poll/e_poll.htm http://www.epa.vic.gov.au/wq/info/wq987.htm Sincerely, Anthony R. Brach This is a very complicated question, there are so many different types of water pollution and different species of plants react very differently. Good places to start are the U.S. environmental protection agency, the office of water is at: http://www.epa.gov/ow/ and there is a link to a kid's page from there: http://www.epa.gov/OST/KidsStuff/ You might also try state EPA's, Illinois is at:

362

Water Treatment Plants  

NLE Websites -- All DOE Office Websites (Extended Search)

to see the operation than have us explain it. Basically, most treatment plants remove the solid material and use living organisms and chlorine to clean up the water. Steve Sample...

363

Fuel rod reprocessing plant  

Science Conference Proceedings (OSTI)

A plant for the reprocessing of fuel rods for a nuclear reactor comprises a plurality of rectangular compartments desirably arranged on a rectangular grid. Signal lines, power lines, pipes, conduits for instrumentation, and other communication lines leave a compartment just below its top edges. A vehicle access zone permits overhead and/or mobile cranes to remove covers from compartments. The number of compartments is at least 25% greater than the number of compartments used in the initial design and operation of the plant. Vacant compartments are available in which replacement apparatus can be constructed. At the time of the replacement of a unit, the piping and conduits are altered to utilize the substitute equipment in the formerly vacant compartment, and it is put on stream prior to dismantling old equipment from the previous compartment. Thus the downtime for the reprocessing plant for such a changeover is less than in a traditional reprocessing plant.

Szulinski, M.J.

1981-04-14T23:59:59.000Z

364

Power Plant Closure Guidebook  

Science Conference Proceedings (OSTI)

Organizations that are planning to decommission an aged power plant face a host of issues that must be addressed and many tasks that must be properly executed in order to ensure a successful closure of the facility.

2010-10-20T23:59:59.000Z

365

B Plant facility description  

SciTech Connect

Buildings 225B, 272B, 282B, 282BA, and 294B were removed from the B Plant facility description. Minor corrections were made for tank sizes and hazardous and toxic inventories.

Chalk, S.E.

1996-10-04T23:59:59.000Z

366

Plant Pathogen Resistance  

Crop plants are infected by numerous fungal and bacterial pathogens that reduce crop quality and yield. Common methods for addessing this problem include time consuming processes such as genetic engeneering, and possibly enviromentally risky ...

367

The conservation of mass-moment parameters  

E-Print Network (OSTI)

In this paper we study a concept of mass-moment parameter which is the generalization of the mass and the moments of inertia of a continuous media. We shall present some interesting kinematical results in the hypothesis that a set of mass-moment parameters are conserved in a motion of a continuous media.

Dan Comanescu

2007-02-16T23:59:59.000Z

368

Cosmological parameter estimation from CMB experiments  

Science Conference Proceedings (OSTI)

I review the general aspects of cosmological parameter estimation from observations of the cosmic microwave background (CMB) temperature anisotropies in the framework of inflationary adiabatic models. The most recent CMB datasets are starting to give good constraints on the relevant parameters of inflationary adiabatic models. They point toward a model consistent with the basic predictions of inflation: a nearly flat universe

Amedeo Balbi

2001-01-01T23:59:59.000Z

369

The suitability of kinesthetic learning activities for teaching distributed algorithms  

Science Conference Proceedings (OSTI)

Kinesthetic learning is a process in which students learn by actively carrying out physical activities rather than by passively listening to lectures. Pedagogical research indicates that kinesthetic learning is a fundamental, powerful, and ubiquitous ... Keywords: active learning, concurrency, pedagogy, reasoning

Paolo A. G. Sivilotti; Scott M. Pike

2007-03-01T23:59:59.000Z

370

Simulating Competition and Coexistence between Plant Functional Types in a Dynamic Vegetation Model  

Science Conference Proceedings (OSTI)

The global distribution of vegetation is broadly determined by climate, and where bioclimatic parameters are favorable for several plant functional types (PFTs), by the competition between them. Most current dynamic global vegetation models (...

Vivek K. Arora; George J. Boer

2006-05-01T23:59:59.000Z

371

Simulation-assisted inductive learning  

Science Conference Proceedings (OSTI)

Learning by induction can require a large number of training examples. We show the power of using a simulator to generate training data and test data in learning rules for an expert system. The induction program is RL, a simplified version of Meta-DENDRAL. The expert system is ABLE, a rule-based system that identifies and located errors in particle beam lines used in high energy physics. A simulator of beam lines allowed forming and testing rules on sufficient numbers of cases that ABLE's performance is demonstrably accurate and precise. 13 refs., 2 figs.

Buchanan, B.G.; Sullivan, J.; Cheng, Tze-Pin; Clearwater, S.H.

1988-01-01T23:59:59.000Z

372

Learning to search: Functional gradient techniques for imitation learning  

Science Conference Proceedings (OSTI)

Programming robot behavior remains a challenging task. While it is often easy to abstractly define or even demonstrate a desired behavior, designing a controller that embodies the same behavior is difficult, time consuming, and ultimately expensive. ... Keywords: Autonomous navigation, Functional gradient techniques, Grasping, Imitation learning, Nonparametric optimization, Planning, Quadrupedal locomotion, Robotics, Structured prediction, Subgradient methods

Nathan D. Ratliff; David Silver; J. Andrew Bagnell

2009-07-01T23:59:59.000Z

373

Game-based learning with computers: learning, simulations, and games  

Science Conference Proceedings (OSTI)

For developing a sophisticated game-based training system it is important to consider both, the technical aspects of game development (i.e. games engineering) as well as the pedagogical aspects of games and technology enhanced learning (i.e. game didactics). ...

Alke Martens; Holger Diener; Steffen Malo

2008-01-01T23:59:59.000Z

374

2008. Approximating learning curves for active-learning-driven annotation  

E-Print Network (OSTI)

Active learning (AL) is getting more and more popular as a methodology to considerably reduce the annotation effort when building training material for statistical learning methods for various NLP tasks. A crucial issue rarely addressed, however, is when to actually stop the annotation process to profit from the savings in efforts. This question is tightly related to estimating the classifier performance after a certain amount of data has already been annotated. While learning curves are the default means to monitor the progress of the annotation process in terms of classifier performance, this requires a labeled gold standard which – in realistic annotation settings, at least – is often unavailable. We here propose a method for committee-based AL to approximate the progression of the learning curve based on the disagreement among the committee members. This method relies on a separate, unlabeled corpus and is thus well suited for situations where a labeled gold standard is not available or would be too expensive to obtain. Considering named entity recognition as a test case we provide empirical evidence that this approach works well under simulation as well as under real-world annotation conditions. 1.

Katrin Tomanek; Udo Hahn

2008-01-01T23:59:59.000Z

375

Active learning via transductive experimental design  

Science Conference Proceedings (OSTI)

This paper considers the problem of selecting the most informative experiments x to get measurements y for learning a regression model y = f(x). We propose a novel and simple concept for active learning, transductive experimental ...

Kai Yu; Jinbo Bi; Volker Tresp

2006-06-01T23:59:59.000Z

376

Essays on finance, learning, and macroeconomics  

E-Print Network (OSTI)

This thesis consists of four essays on finance, learning, and macroeconomics. The first essay studies whether learning can explain why the standard consumption-based asset pricing model produces large pricing errors for ...

Doyle, Joseph Buchman, Jr

2012-01-01T23:59:59.000Z

377

Lessons Learned from the QA Summit  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Table 1 Corporate Analysis of Key InsightsLessons Learned Shared During the EM QA Summit February 17, 2011 Oak Ridge, TN InsightsLessons Learned Description 1 Related...

378

Providing Dynamic Instructional Adaptation in Programming Learning  

Science Conference Proceedings (OSTI)

This paper describes an approach to create an Intelligent Tutoring System that provides dynamic personalization and learning activities sequencing adaptation by combining eLearning standards and Artificial Intelligent techniques. The work takes advantage ...

Francisco Jurado; Olga C. Santos; Miguel A. Redondo; Jesús G. Boticario; Manuel Ortega

2008-09-01T23:59:59.000Z

379

Enhancing E-Learning with Interactive Multimedia  

Science Conference Proceedings (OSTI)

Nowadays, multimedia-based e-Learning systems have become widely available. Many systems, however, provide little interactivity to learners. E-Learners do not have much control over learning content and process to meet their individual needs. Therefore, ...

Dongsong Zhang; Lina Zhou

2003-10-01T23:59:59.000Z

380

Worldwide Overview of Lessons Learned from Decommissioning Projects  

Science Conference Proceedings (OSTI)

With an increasing number of radioactive facilities and reactors now reaching the end of their useful life and being taken out of service, there is a growing emphasis worldwide on the safe and efficient decommissioning of such plants. There is a wealth of experience already gained in decommissioning projects for all kinds of nuclear facilities. It is now possible to compare and discuss progress and accomplishments worldwide. In particular, rather than on the factual descriptions of projects, technologies and case histories, it is important to focus on lessons learned: in this way, the return of experience is felt to effectively contribute to progress. Key issues - inevitably based on a subjective ranking - are presented in this paper. Through the exchange of lessons learned, it is possible to achieve full awareness of the need for resources for and constraints of safe and cost-effective decommissioning. What remains now is the identification of specific, remaining issues that may hinder or delay the smooth progress of decommissioning. To this end, lessons learned provide the necessary background information; this paper tries to make extensive use of practical experience gained by the international community.

Laraia, Michele [IAEA, Vienna (Austria)

2008-01-15T23:59:59.000Z

Note: This page contains sample records for the topic "learning parameters plants" 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

Learning by teaching with virtual peers and the effects of technological design choices on learning  

Science Conference Proceedings (OSTI)

Advancements in technology have brought about new forms of learning and online instruction that allow communication through virtual representations without physically meeting in person. This study builds on previous work involving recursive feedback ... Keywords: Computer-mediated communication, Cooperative/collaborative learning, Interactive learning environments, Teaching/learning strategies, Virtual reality

Sandra Y. Okita; Selen Turkay; Mihwa Kim; Yumiko Murai

2013-04-01T23:59:59.000Z

382

Blended learning and pure e-learning concepts for information retrieval: experiences and future directions  

Science Conference Proceedings (OSTI)

Today, teaching and learning are mostly supported by digital material and electronic communication ranging from the provision of slides or scripts in digital form to elaborate, interactive learning environments. This article describes the prospects and ... Keywords: Blended learning, Interaction, Teaching information retrieval, e-Learning

Andreas Henrich; Stefanie Sieber

2009-04-01T23:59:59.000Z

383

A new structure of online learning environment to support the professional learning  

Science Conference Proceedings (OSTI)

The online learning environment (OLE) is an essential element in using information and communication technology (ICT) for learning and instruction. This paper proposed a new structure of an OLE for design professional domain that tried to integrate the ... Keywords: e-learning, online community, online learning environment, social network

Wenzhi Chen; Yu-How Lin

2011-07-01T23:59:59.000Z

384

Lessons Learned from Independent Verification Activities | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

control after the property has been demonstrated to meet the Department's stringent radiation protection requirements. Lessons Learned from Independent Verification...

385

Moths with a Nose for Learning  

Science Conference Proceedings (OSTI)

Moths with a Nose for Learning. ... Associations or meanings are formed when a connection is perceived among mental representations. ...

2013-07-11T23:59:59.000Z

386

Prototype geothermal power plant summary of operation for automatic-run test phase  

DOE Green Energy (OSTI)

The Prototype Power Plant was built to demonstrate and learn the operation of a binary power cycle, and then serve as a test bed for pilot scale components, systems, and/or concepts that have the potential for enhancing the feasibility of power generation from a moderate temperature geothermal fluid resource. The operation to date of the prototype plant is summarized with primary emphasis on the automatic-run phase, during which the plant was operated over a five-month period with minimal operator surveillance.

Mines, G.L.

1981-02-01T23:59:59.000Z

387

Environmental Restoration Disposal Facility Lessons Learned  

SciTech Connect

The purpose of lessons learned is to identify insight gained during a project – successes or failures – that can be applied on future projects. Lessons learned can contribute to the overall success of a project by building on approaches that have worked well and avoiding previous mistakes. Below are examples of lessons learned during ERDF’s ARRA-funded expansion project.

Caulfield, R.

2012-07-12T23:59:59.000Z

388

Strategies in Combined Learning via Logic Programs  

Science Conference Proceedings (OSTI)

We discuss the adoption of a three-valued setting for inductive concept learning. Distinguishing between what is true, what is false and what is unknown can be useful in situations where decisions have to be taken on the basis of scarce, ambiguous, ... Keywords: contradiction handling, explicit negation, inductive logic programming, multi-strategy learning, non-monotonic learning

Evelina Lamma; Fabrizio Riguzzi; Luís Moniz Pereira

2000-01-01T23:59:59.000Z

389

Accelerating evolution via egalitarian social learning  

Science Conference Proceedings (OSTI)

Social learning is an extension to evolutionary algorithms that enables agents to learn from observations of others in the population. Historically, social learning algorithms have employed a student-teacher model where the behavior of one or more high-fitness ...

Wesley Tansey; Eliana Feasley; Risto Miikkulainen

2012-07-01T23:59:59.000Z

390

Local discriminative distance metrics ensemble learning  

Science Conference Proceedings (OSTI)

The ultimate goal of distance metric learning is to incorporate abundant discriminative information to keep all data samples in the same class close and those from different classes separated. Local distance metric methods can preserve discriminative ... Keywords: Distance metrics learning, Local learning

Yang Mu; Wei Ding; Dacheng Tao

2013-08-01T23:59:59.000Z

391

A field study of API learning obstacles  

Science Conference Proceedings (OSTI)

Large APIs can be hard to learn, and this can lead to decreased programmer productivity. But what makes APIs hard to learn? We conducted a mixed approach, multi-phased study of the obstacles faced by Microsoft developers learning a wide variety of new ... Keywords: Application programming interfaces, Documentation, Programming, Software libraries

Martin P. Robillard; Robert Deline

2011-12-01T23:59:59.000Z

392

Machine learning in space: extending our reach  

Science Conference Proceedings (OSTI)

We introduce the challenge of using machine learning effectively in space applications and motivate the domain for future researchers. Machine learning can be used to enable greater autonomy to improve the duration, reliability, cost-effectiveness, and ... Keywords: Autonomy, Machine learning applications, Space missions

Amy Mcgovern; Kiri L. Wagstaff

2011-09-01T23:59:59.000Z

393

Learning molecular biology by VR playing  

Science Conference Proceedings (OSTI)

Learning by playing is one of the natural way for knowledge and skill acquisition. This paper addresses the issue of learning molecular biology by Virtual Reality (VR) based playing. A software system MolecularStudio is developed using the VR Technology ... Keywords: VR, biology, computer game, learning, playing

BF Lu; KT Lim; JM Zheng; YY Cai

2004-06-01T23:59:59.000Z

394

Survey and analysis of current mobile learning applications and technologies  

Science Conference Proceedings (OSTI)

Distance learning, electronic learning, and mobile learning offer content, methods, and technologies that decrease the limitations of traditional education. Mobile learning (m-learning) is an extension of distance education, supported by mobile devices ... Keywords: Mobile learning, mobile applications, mobile computing

Orlando R. E. Pereira, Joel J. P. C. Rodrigues

2013-11-01T23:59:59.000Z

395

Reusable learning objects: a survey of LOM-based repositories  

Science Conference Proceedings (OSTI)

In this paper, we survey the field of learning object repositories. Learning objects are typically relatively small content components that are meant to be reusable in different contexts. Associated to these learning objects are metadata, so that they ... Keywords: Learning Object Metadata (LOM), digital libraries, learning object repositories, metadata, reusable learning objects

Filip Neven; Erik Duval

2002-12-01T23:59:59.000Z

396

Brief An adaptive PID learning control of robot manipulators  

Science Conference Proceedings (OSTI)

An adaptive PID learning controller which consists of an adaptive PID feedback control scheme and a feedforward input learning scheme is proposed for learning of periodic robot motion. In the learning controller, the adaptive PID feedback controller ... Keywords: Adaptive PID learning, Learning rules, Robot motion control

Tae-Yong Kuc; Woong-Gie Han

2000-05-01T23:59:59.000Z

397

Repowering the 250 MW Supercritical Power Plant at Lenenergo, Russia  

Science Conference Proceedings (OSTI)

This report describes the repowering of a supercritical 250 MW generating unit with an ABB 52.9 MN gas turbine at the Southern Plant of the Lenenergo system in Russia. It includes a review of the performance parameters of the repowered unit and an economic analysis of the repowering project.

1999-11-30T23:59:59.000Z

398

Plant critical concept  

SciTech Connect

The achievement of operation and maintenance (O&M) cost reductions is a prime concern for plant operators. Initiatives by the nuclear industry to address this concern are under way and/or in development. These efforts include plant reliability studies, reliability-centered maintenance, risk ranking and testing philosophies, performance-based testing philosophies, graded quality assurance, and so forth. This paper presents the results of an effort to develop a methodology that integrates and applies the common data and analysis requirements for a number of risk-based and performance-based initiatives. This initial phase of the effort applied the methodology and its results to two initiatives. These were the procurement function and the preventive maintenance function. This effort integrated multiple programs and functions to identify those components that are truly critical from an integrated plant performance perspective. The paper describes the scope of the effort, the development of a methodology to identify plant critical components, and the application of these results to the maintenance rule compliance, preventive maintenance, and procurement functions at the candidate plant.

O`Regan, P.J. [Yankee Atomic Electric Co., Bolton, MA (United States)

1995-12-31T23:59:59.000Z

399

How do plants grow?  

NLE Websites -- All DOE Office Websites (Extended Search)

How do plants grow? How do plants grow? Name: Sally McCombs Location: N/A Country: N/A Date: N/A Question: A 4th grade class at our school is doing plant research and would like to know if plants grow from the top up or from the bottom up? Thanks for your help! Replies: Plants grow from the top up (or from the bottom down, in the case of root growth). Right at the tip, more cells form by division, and just behind that is an area where cells get bigger). More amazing than all of this is where your question comes from. I went to 4th grade there!!! Amazing, Just after the school was built, I think, maybe around 1959 to about early 1960's. Then I moved on to St. Pete High School, then my parents got jobs in Alabama, where I did the last year of High School. Then onto college in New England, graduate school in California, a research job in England, and now finally as a professor at the University of Washington in Seattle. Brings back memories...

400

Learning python programming, First edition  

Science Conference Proceedings (OSTI)

In this training course from expert programmer and author Mike McMillan, you will learn how to program with the popular development language, Python. This tutorial is designed for the beginner, and you do not need to have any experience at all with programming ...

Mike McMillan

2012-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "learning parameters plants" 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

Field observations and lessons learned  

SciTech Connect

This presentation outlines observations and lessons learned from the Megaports program. It provides: (1) details of field and technical observations collected during LANL field activities at ports around the world and details of observations collected during radiation detections system testing at Los Alamos National Laboratory; (2) provides suggestions for improvement and efficiency; and (3) discusses possible program execution changes for more effective operations.

Nielsen, Joh B [Los Alamos National Laboratory

2010-01-01T23:59:59.000Z

402

NISTIR 6005 Plant Spatial Configuration Application Protocol ...  

Science Conference Proceedings (OSTI)

... Part 12, Description method: The EXPRESS-I language reference manual; ... Decommission Plant ... Plant operating procedures; ...

1998-01-14T23:59:59.000Z

403

ML-KNN: A lazy learning approach to multi-label learning  

Science Conference Proceedings (OSTI)

Multi-label learning originated from the investigation of text categorization problem, where each document may belong to several predefined topics simultaneously. In multi-label learning, the training set is composed of instances each associated with ... Keywords: Functional genomics, K-nearest neighbor, KNN, K-nearest neighbor, Lazy learning, MAP, maximum a posteriori, ML-KNN, multi-label K-nearest neighbor, Machine learning, Multi-label learning, Natural scene classification, PMM, parametric mixture model, Text categorization

Min-Ling Zhang; Zhi-Hua Zhou

2007-07-01T23:59:59.000Z

404

Power Plant Cycling Costs  

NLE Websites -- All DOE Office Websites (Extended Search)

Power Plant Cycling Costs Power Plant Cycling Costs April 2012 N. Kumar, P. Besuner, S. Lefton, D. Agan, and D. Hilleman Intertek APTECH Sunnyvale, California NREL Technical Monitor: Debra Lew Subcontract Report NREL/SR-5500-55433 July 2012 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 15013 Denver West Parkway Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Power Plant Cycling Costs April 2012 N. Kumar, P. Besuner, S. Lefton, D. Agan, and D. Hilleman Intertek APTECH Sunnyvale, California NREL Technical Monitor: Debra Lew Prepared under Subcontract No. NFT-1-11325-01

405

Plant Tumor Growth Rates  

NLE Websites -- All DOE Office Websites (Extended Search)

Plant Tumor Growth Rates Plant Tumor Growth Rates Name: Gina and Maria Location: N/A Country: N/A Date: N/A Question: We are doing a science fair project on if B. Carotene, Green tea, and Grape Seed Extract helps plants against the crown gall disease. We injected sunflowers with agrobacterium tum. one week ago (Sun. Feb. 27, 2000). Our questions is how long will it take for the tumors to grow? We scratched the surface of the stems and injected the agrobacterium in the wound. Also which do you think, in your opinion, will do the best, if any? Our science fair is April 13, do you think we'll have growth before then, atleast enough time to do our conclusion and results? Thank you, any information you forward will be very helpful. Replies: Sunflowers form galls relatively quickly. I usually get them in two weeks at least. Good luck.

406

Plant and Animal Immigrants  

NLE Websites -- All DOE Office Websites (Extended Search)

and Animal Immigrants and Animal Immigrants Nature Bulletin No. 43 December 1, 1945 Forest Preserve District of Cook County Clayton F. Smith, President Roberts Mann, Superintendent of Conservation PLANT AND ANIMAL IMMIGRANTS When foreign plants and animals are brought to a new country they either become naturalized and thrive, or they cling to their old ways and die out. after they, too, find new freedoms because they leave their enemies, competitors, parasites, and some of their diseases behind them -- much as immigrant people do. The United States now supports about 300 times as many people as it did when Columbus discovered America. This is possible because the domesticated plants and animals that the early settlers brought with them give much higher yields of food and clothing than the Indians got from wild ones.

407

Waste Treatment Plant Overview  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Hanford Site, located in southeastern Washington state, Hanford Site, located in southeastern Washington state, was the largest of three defense production sites in the U.S. Over the span of 40 years, it was used to produce 64 metric tons of plutonium, helping end World War II and playing a major role in military defense efforts during the Cold War. As a result, 56 million gallons of radioactive and chemical wastes are now stored in 177 underground tanks on the Hanford Site. To address this challenge, the U.S. Department of Energy contracted Bechtel National, Inc., to design and build the world's largest radioactive waste treatment plant. The Waste Treatment and Immobilization Plant (WTP), also known as the "Vit Plant," will use vitrification to immobilize most of Hanford's dangerous tank waste.

408

Applied machine vision of plants: a review with implications for field deployment in automated farming operations  

Science Conference Proceedings (OSTI)

Automated visual assessment of plant condition, specifically foliage wilting, reflectance and growth parameters, using machine vision has potential use as input for real-time variable-rate irrigation and fertigation systems in precision agriculture. ... Keywords: Monocular vision, Multispectral, Plant sensing, Range sensing, Stereo vision

C. L. Mccarthy; N. H. Hancock; S. R. Raine

2010-10-01T23:59:59.000Z

409

On concepts of performance parameters for channels  

Science Conference Proceedings (OSTI)

Among the mostly investigated parameters for noisy channels are code size, error probability in decoding, block length; rate, capacity, reliability function; delay, complexity of coding. There are several statements about connections between these quantities. ...

R. Ahlswede

2006-01-01T23:59:59.000Z

410

Vertical Axis Wind Turbine Foundation parameter study  

DOE Green Energy (OSTI)

The dynamic failure criterion governing the dimensions of prototype Vertical Axis Wind Turbine Foundations is treated as a variable parameter. The resulting change in foundation dimensions and costs is examined.

Lodde, P.F.

1980-07-01T23:59:59.000Z

411

Integral data analysis for resonance parameters determination  

SciTech Connect

Neutron time-of-flight experiments have long been used to determine resonance parameters. Those resonance parameters have then been used in calculations of integral quantities such as Maxwellian averages or resonance integrals, and results of those calculations in turn have been used as a criterion for acceptability of the resonance analysis. However, the calculations were inadequate because covariances on the parameter values were not included in the calculations. In this report an effort to correct for that deficiency is documented: (1) the R-matrix analysis code SAMMY has been modified to include integral quantities of importance, (2) directly within the resonance parameter analysis, and (3) to determine the best fit to both differential (microscopic) and integral (macroscopic) data simultaneously. This modification was implemented because it is expected to have an impact on the intermediate-energy range that is important for criticality safety applications.

Larson, N.M.; Leal, L.C.; Derrien, H.

1997-09-01T23:59:59.000Z

412

LCLS CDR Appendix A - Parameter Tables  

NLE Websites -- All DOE Office Websites (Extended Search)

Performance A.1.1.1 Electron Beam Parameter Name Low Energy High Energy All Energies Unit Electron energy 4.54 14.35 GeV Electron Lorentz factor 8880 28082 Normalized slice...

413

Fixed-Parameter tractability, a prehistory,  

Science Conference Proceedings (OSTI)

Many of the foundational parameterized tenets discussed in this festschrift actually predate by over a decade the first systematic treatments of fixed-parameter tractability. In this frank, firsthand account I will, to the best of my recollection, describe ...

Michael A. Langston

2012-01-01T23:59:59.000Z

414

Plants making oxygen  

NLE Websites -- All DOE Office Websites (Extended Search)

Plants making oxygen Plants making oxygen Name: Doug Status: N/A Age: N/A Location: N/A Country: N/A Date: Around 1993 Question: How many plants are needed to make enough oxygen for one person for one hour? We are experimenting with Anacharis plants. Replies: The problem can be solved when broken down into smaller questions: 1. How much oxygen does a person need in an hour? 2. How much oxygen does a plant produce in an hour? 3. Based on the above, how many plants will provide the oxygen needs of the person for the hour? Here is the solution to the first question: A resting, healthy adult on an average, cool day breathes in about 53 liters of oxygen per hour. An average, resting, health adult breathes in about 500 mL of air per breath. This is called the normal tidal volume. Now, 150 mL of this air will go to non- functioning areas of the lung, called the "dead space." The average breath rate for this average person is 12 breaths per minute. So, the amount of air breathed in by the person which is available for use is 12 x (500 mL -150 mL) = 4,200 mL/minute. Multiply by 60 to get 252,000 mL/hour. That is, every hour, the person will breathe in 252 L of air. Now, on an average, cool, clear day, only 21% of that air is oxygen. So, 21% of 252 L is 53 L. So, in an hour, the person breathes in about 53 L of oxygen.

415

Technisch-economische parameters van duurzame  

E-Print Network (OSTI)

-economische berekeningsaannames 21 5.1 Windenergie 21 5.1.1 Wind onshore 21 5.1.2 Wind offshore 22 5.2 Biomassa: grootschalige/kWhe] Subsidieduur 2008-2009 [jaar] Windenergie · Onshore wind 7,1 15 · Offshore wind, 20 km 10,7 15 · Offshore wind-economische parameters wind onshore 22 Tabel 5.2 Technisch-economische parameters wind offshore 23 Tabel 5.3 Technisch

416

Waste Isolation Pilot Plant  

NLE Websites -- All DOE Office Websites (Extended Search)

Waste Isolation Pilot Plant Waste Isolation Pilot Plant AFFIDAVIT FOR SURVIVING RELATIVE STATE _______________ ) ) ss: __________________ COUNTY OF _____________ ) That I, ________________________, am the _________________________ (Indicate relationship) of ___________________________, who is deceased and make the attached request pursuant to 10 CFR, Section 1008. That the information contained on the attached request is true and correct to the best of my knowledge and belief, and I am signing this authorization subject to the penalties provided in 18 U.S.C. 1001. ____________________________ SIGNATURE NOTARIZATION: SUBSCRIBED and SWORN to before me this ______day of __________, 20_____

417

Combining Spatial and Telemetric Features for Learning Animal Movement Models  

E-Print Network (OSTI)

We introduce a new graphical model for tracking radio-tagged animals and learning their movement patterns. The model provides a principled way to combine radio telemetry data with an arbitrary set of userdefined, spatial features. We describe an efficient stochastic gradient algorithm for fitting model parameters to data and demonstrate its effectiveness via asymptotic analysis and synthetic experiments. We also apply our model to real datasets, and show that it outperforms the most popular radio telemetry software package used in ecology. We conclude that integration of different data sources under a single statistical framework, coupled with appropriate parameter and state estimation procedures, produces both accurate location estimates and an interpretable statistical model of animal movement.

Kapicioglu, Berk; Wikelski, Martin; Broderick, Tamara

2012-01-01T23:59:59.000Z

418

NREL: Learning - Biomass Energy Basics  

NLE Websites -- All DOE Office Websites (Extended Search)

In the near future-and with NREL-developed technology-agricultural residues such as corn stover (the stalks, leaves, and husks of the plant) and wheat straw will also be...

419

The Development of a Human Systems Simulation Laboratory at Idaho National Laoboratory: Progress, Requirements and Lessons Learned  

SciTech Connect

Next generation nuclear power plants and digital upgrades to the existing nuclear fleet introduce potential human performance issues in the control room. Safe application of new technologies calls for a thorough understanding of how those technologies affect human performance and in turn, plant safety. In support of advancing human factors for small modular reactors and light water reactor sustainability, the Idaho National Laboratory (INL) has developed a reconfigurable simulation laboratory capable of testing human performance in multiple nuclear power plant (NPP) control room simulations. This paper discusses the laboratory infrastructure and capabilities, the laboratory’ s staffing requirements, lessons learned, and the researcher’s approach to measuring human performance in the simulation lab.

David I Gertman; Katya L. LeBlanc; William phoenix; Alan R Mecham

2010-11-01T23:59:59.000Z

420

Stakeholder Engagement and Outreach: Lessons Learned  

Wind Powering America (EERE)

Lessons Learned Lessons Learned Wind Powering America's lessons learned series highlights multiple aspects of the wind industry, giving participants an opportunity to share their experience with interested parties. Here you will find lessons learned for 2013. August 12, 2013 Re-Powering a Wind Farm: Wind Powering America Lessons Learned Neil Habig, senior developer at Iberdrola Renewables; Don Bain, president of Aeropower Services; and Mark Jacobson, senior project leader at NREL and former director of business development at Invenergy LLC share the following lessons learned regarding the re-powering of wind farms. July 01, 2013 KidWind Project and Wind Education in the Classroom: Wind Powering America Lessons Learned Dan Whisler, a 29-year environmental science instructor at Sterling High

Note: This page contains sample records for the topic "learning parameters plants" 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

Verification of physics parameters for BWR (boiling water reaction) one-dimensional transient analysis  

SciTech Connect

A data-processing method was developed to generate physics parameters for use with the one-dimensional kinetics model of the RETRAN-02/MOD3 code. The physics parameters were verified to assure the consistency in collapsing procedures and to identify the need for further improvements. In the present study, calculations were performed during the boiling water reactor-4 Chinshan-1 cycle-7 (CS1CY7) end-of-cycle (EOC) Hailing condition, CS2CY6 middle-of-cycle (MOC), and CS1CY1 beginning-of-cycle (BOC) rated conditions. This paper describes the results of verification and their implications for plant transient analyses.

Chou, H.P. (National Tsing-Hua Univ., Hsinchu (Taiwan)); Chen, Y.J. (Institute of Nuclear Energy Research, Lung-Tan (Taiwan))

1989-11-01T23:59:59.000Z

422

UNCORRECTEDPROOF Parameter identification in dynamical models of  

E-Print Network (OSTI)

-type biogas plants 120 lakh 41.33 lakh 11. Solar photovoltaic systems i. Solar street lighting systems ­ 88 in India. Policies are set to provide further impetus to dissemination of solar technologies. Biogas represents an alternative source of energy, derived mainly from organic wastes. In India, the use of biogas

Timmer, Jens

423

Snakes and Plants  

NLE Websites -- All DOE Office Websites (Extended Search)

Snakes and Plants Snakes and Plants Name: kathy Location: N/A Country: N/A Date: N/A Question: We live in the southern most tip of Illinois,on horseshoe lake. I would like to know what time of the year do snakes come out and when do they go back in? Also is there any plants to plant to keep them away? Replies: What kind of snakes, in what kind of habitat? All snakes in Illinois hibernate in winter, but their habits differ by species. I'm not sure of the range of dates for southern Illinois, but they start to come out of hibernation in northern Illinois around the end of March or in April, depending on the weather. Advance of spring is usually about 3 weeks earlier in southern Illinois than northern, so i guess snake emergence would be about that much advanced as well. They will come out when there are warm sunny days to get them warmed up, and nights are not so cold that they will be harmed. Fall entry into hibernation is roughly parallel, snakes will often bask in the sun on sunny fall days before going into hibernation, again in no. Ill usually in October but widely varying.

424

Pinellas Plant facts  

SciTech Connect

The Pinellas Plant, near St. Petersburg, Florida, is wholly owned by the United States Government. It is operated for the Department of Energy (DOE) by GE Aerospace, Neutron Devices (GEND). This plant was built in 1956 to manufacture neutron generators, a principal component in nuclear weapons. The neutron generators built at Neutron Devices consist of a miniaturized linear ion accelerator assembled with the pulsed electrical power supplies required for its operation. Production of these devices has necessitated the development of several uniquely specialized areas of competence and supporting facilities. The ion accelerator, or neutron tube, requires ultra clean, high vacuum technology; hermetic seals between glass, ceramic, glass-ceramic, and metal materials; plus high voltage generation and measurement technology. The existence of these capabilities at Neutron Devices has led directly to the assignment of other weapon application products: the lightning arrester connector, specialty capacitor, vacuum switch, and crystal resonator. Other product assignments such as active and reserve batteries and the radioisotopically-powered thermoelectric generator evolved from the plant`s materials measurement and controls technologies which are required to ensure neutron generator life.

NONE

1990-11-01T23:59:59.000Z

425

Troubleshooting power plant controls  

SciTech Connect

Using an example from an 80 MW cogeneration plant working at near capacity on a hot day, the paper illustrates the steps involved in troubleshooting a maintenance problem. It discusses identification of the problem, the planning involved in the identification of the problem, development of proof of an hypothesis, human factors, implementing effective solutions, and determination of the root cause.

Alley, S.D. [ANNA, Inc., Annapolis, MD (United States)

1995-05-01T23:59:59.000Z

426

Kakkonda Geothermal Power Plant  

SciTech Connect

A brief general description is given of a geothermal resource. Geothermal exploration in the Takinoue area is reviewed. Geothermal drilling procedures are described. The history of the development at the Takinoue area (the Kakkonda Geothermal Power Plant), and the geothermal fluid characteristics are discussed. The technical specifications of the Kakkonda facility are shown. Photographs and drawings of the facility are included. (MHR)

DiPippo, R.

1979-01-01T23:59:59.000Z

427

NUCLEAR PLANT OPERATIONS AND  

E-Print Network (OSTI)

NUCLEAR PLANT OPERATIONS AND CONTROL KEYWORDS: neutron flux, cur- rent noise, vibration diagnostics: Swedish Nuclear Power Inspectorate SE- 10658 Stockholm, Sweden. NUCLEAR TECHNOLOGY VOL. 131 AUG. 2000 239 by the Swedish Nuclear Power Inspectorate, contract 14.5-980942-98242. REFERENCES 1. A. M. WEINBERG and H. C

Pázsit, Imre

428

Mechanisms in Plant Development  

SciTech Connect

This meeting has been held every other year for the past twenty-two years and is the only regularly held meeting focused specifically on plant development. Topics covered included: patterning in developing tissues; short and long distance signaling; differentiation of cell types; the role of epigenetics in development; evolution; growth.

Hake, Sarah [USDA ARS Plant Gene Expression Center

2013-08-21T23:59:59.000Z

429

Plantings that save energy  

SciTech Connect

In this 12th of a series on urban forestry, homeowners and community planners are offered practical guidance in selection of landscape plantings which will significantly reduce wind velocity and heat loss from homes in winter and reduce energy costs for air conditioning in summer.

Heisler, G.M.; DeWalle, D.R.

1984-09-01T23:59:59.000Z

430

NETL: News Release - Coal Gasification Plant Returns $79 Million to DOE in  

NLE Websites -- All DOE Office Websites (Extended Search)

2, 2006 2, 2006 Coal Gasification Plant Returns $79 Million to DOE in Revenue-Sharing Gas Sales Plant Currently Supplies Carbon Dioxide for DOE Sequestration Project Washington, DC -A coal gasification plant purchased from the U.S. Department of Energy (DOE) in 1988 recently paid millions of dollars to DOE as part of a revenue sharing agreement and continues to be an integral part of a Department project to sequester millions of tons of carbon dioxide while doubling an oil field's recovery rate. MORE INFO Learn more about the Great Plains Synfuels Plant The Dakota Gasification Company (DGC), which purchased the Great Plains Synfuels Plant near Beulah, N.D., recently announced the payment of more than $79 million to DOE as part of a revenue-sharing agreement signed in

431

Fort St. Vrain Decommissioning: Final Site Radiation Survey: Summary Report and Lessons Learned  

Science Conference Proceedings (OSTI)

This report describes the final step in the decommissioning process at Public Service Company of Colorado's (PSCo) Fort St. Vrain nuclear power plant. The final site radiation survey documents that all nuclear facility surfaces meet the established release limits for unrestricted use. The survey formed the legal basis for the termination of the Fort St. Vrain nuclear license, which occurred in August 1997. The lessons learned in this process will be valuable to other utilities with permanently shutdown p...

1998-02-13T23:59:59.000Z

432

STRUCTURAL PARAMETERS OF GALAXIES IN CANDELS  

Science Conference Proceedings (OSTI)

We present global structural parameter measurements of 109,533 unique, H{sub F160W}-selected objects from the CANDELS multi-cycle treasury program. Sersic model fits for these objects are produced with GALFIT in all available near-infrared filters (H{sub F160W}, J{sub F125W} and, for a subset, Y{sub F105W}). The parameters of the best-fitting Sersic models (total magnitude, half-light radius, Sersic index, axis ratio, and position angle) are made public, along with newly constructed point-spread functions for each field and filter. Random uncertainties in the measured parameters are estimated for each individual object based on a comparison between multiple, independent measurements of the same set of objects. To quantify systematic uncertainties, we create a mosaic with simulated galaxy images with a realistic distribution of input parameters and then process and analyze the mosaic in an identical manner as the real data. We find that accurate and precise measurements-to 10% or better-of all structural parameters can typically be obtained for galaxies with H{sub F160W} < 23, with comparable fidelity for basic size and shape measurements for galaxies to H{sub F160W} {approx} 24.5.

Van der Wel, A.; Chang, Yu-Yen; Rix, H.-W. [Max-Planck Institut fuer Astronomie, Koenigstuhl 17, D-69117 Heidelberg (Germany); Bell, E. F. [Department of Astronomy, University of Michigan, 500 Church Street, Ann Arbor, MI 48109 (United States); Haeussler, B.; Hartley, W. [Schools of Physics and Astronomy, University of Nottingham, University Park, Nottingham NG7 2RD (United Kingdom); McGrath, E. J.; Cheung, E.; Faber, S. M.; Kocevski, D. D.; Mozena, M. [UCO/Lick Observatory, Department of Astronomy and Astrophysics, University of California, Santa Cruz, CA 95064 (United States); Guo Yicheng [Astronomy Department, University of Massachusetts, 710 North Pleasant Street, Amherst, MA 01003 (United States); McIntosh, D. H. [Department of Physics and Astronomy, University of Missouri-Kansas City, 5110 Rockhill Road, Kansas City, MO 64110 (United States); Barden, M. [Institute of Astro- and Particle Physics, University of Innsbruck, Technikerstrasse 25, A-6020 Innsbruck (Austria); Ferguson, H. C.; Grogin, N. A.; Koekemoer, A. M.; Lotz, J. [Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, MD 21218 (United States); Galametz, A. [INAF-Osservatorio di Roma, Via Frascati 33, I-00040 Monteporzio (Italy); Kartaltepe, J. S., E-mail: vdwel@mpia.de [National Optical Astronomy Observatory, 950 North Cherry Avenue, Tucson, AZ 85719 (United States); and others

2012-12-15T23:59:59.000Z

433

Advances in Bayesian Model Based Clustering Using Particle Learning  

SciTech Connect

Recent work by Carvalho, Johannes, Lopes and Polson and Carvalho, Lopes, Polson and Taddy introduced a sequential Monte Carlo (SMC) alternative to traditional iterative Monte Carlo strategies (e.g. MCMC and EM) for Bayesian inference for a large class of dynamic models. The basis of SMC techniques involves representing the underlying inference problem as one of state space estimation, thus giving way to inference via particle filtering. The key insight of Carvalho et al was to construct the sequence of filtering distributions so as to make use of the posterior predictive distribution of the observable, a distribution usually only accessible in certain Bayesian settings. Access to this distribution allows a reversal of the usual propagate and resample steps characteristic of many SMC methods, thereby alleviating to a large extent many problems associated with particle degeneration. Furthermore, Carvalho et al point out that for many conjugate models the posterior distribution of the static variables can be parametrized in terms of [recursively defined] sufficient statistics of the previously observed data. For models where such sufficient statistics exist, particle learning as it is being called, is especially well suited for the analysis of streaming data do to the relative invariance of its algorithmic complexity with the number of data observations. Through a particle learning approach, a statistical model can be fit to data as the data is arriving, allowing at any instant during the observation process direct quantification of uncertainty surrounding underlying model parameters. Here we describe the use of a particle learning approach for fitting a standard Bayesian semiparametric mixture model as described in Carvalho, Lopes, Polson and Taddy. In Section 2 we briefly review the previously presented particle learning algorithm for the case of a Dirichlet process mixture of multivariate normals. In Section 3 we describe several novel extensions to the original implementation of Carvalho et al that allow us to retain the computational advantages of particle learning while improving the suitability of the methodology to the analysis of streaming data and simultaneously facilitating the real time discovery of latent cluster structures. Section 4 demonstrates our methodological enhancements in the context of several simulated and classical data sets, showcasing the use of particle learning methods for online anomaly detection, label generation, drift detection, and semi-supervised classification, none of which would be achievable through a standard MCMC approach. Section 5 concludes with a discussion of future directions for research.

Merl, D M

2009-11-19T23:59:59.000Z

434

Educational Programs Learning Lab Activities  

NLE Websites -- All DOE Office Websites (Extended Search)

Argonne offers a variety of field trips for middle school and high school students. Bring your students to Argonne and let them experience the excitement of science first-hand, with activities that will cement basic science and engineering concepts, and introduce them to new and exciting aspects of laboratory research! During the field trip, students rotate through various hands-on science experiments and learning lab activities to learn what Argonne scientists do. About Field Trips Field trips are free. Groups must arrange their own transportation. Group size: 40-60 students. Larger groups can be accommodated with additional planning time. Field trips start at 9:45 a.m. and end at 1:00 p.m. All participants MUST wear long pants and closed-toed shoes, regardless of the weather.

435

What China Can Learn from  

NLE Websites -- All DOE Office Websites (Extended Search)

What China Can Learn from What China Can Learn from International Experiences in Developing a Demand Response Program Bo Shen, Chun Chun Ni, Girish Ghatikar, Lynn Price Environmental Energy Technologies Division Lawrence Berkeley National Laboratory Preprint version of proceedings of the European Council for an Energy Efficient Economy's 2012 Industrial Summer Study, held in Arnhem, the Netherlands, on September 11-14, 2012. June 2012 This work was supported by the China Sustainable Energy Program (CSEP) of the Energy Foundation, Azure International, and Dow Chemical Company (through a charitable contribution) through the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. LBNL-5578E Disclaimer This document was prepared as an account of work sponsored by the United States Government. While

436

Quality Assurance Lessons Learned 2010  

NLE Websites -- All DOE Office Websites (Extended Search)

Quality Council Lessons Learned Quality Council Lessons Learned Vendor Supplier Deficiencies: Myers Drum Concerns at Los Alamos National Laboratory (LANL) The Office of Packaging and Transportation, in the DOE Office of Environmental Management, issued a Safety Alert in January 12, 2010, (Issue Number: DOE/OPT/SA-01) alerting the DOE packaging and transportation community about potential failure associated with 55 and 30-gallon carbon steel drum closure rings. On January 13, 2010, HSS issued a Data Collection Sheet (DCS) to all DOE sites citing the concerns as well. Those concerns arose while contractors were performing receipt inspections on several lots of drums and drum rings received at the Hanford site and Lawrence Livermore National Laboratory (LLNL). It was determined that the drum

437

Learn Gapminder | Open Energy Information  

Open Energy Info (EERE)

Learn Gapminder Learn Gapminder Jump to: navigation, search Gapminder.jpg Gapminder visualizations bring your data to life. Enhance your analysis within OpenEI by creating Gapminder visualizations that can easily be displayed and shared from any web browser. View other Gapminder visualizations: Gapminder Visit Gapminder to see some example datasets and visualizations. Formatting your data To get your visualization to work, you must be sure your data is formatted correctly: Here is a great Quick Guide to getting your Motion Chart, or Gapminder, to work properly. Java Coding your Visualization This java program will create the body of a Gapminder visualization code for OpenEI. For example, http://en.openei.org/w/index.php?title=Widget:Motion_Chart_Visualizations/generalunitedstates.js.

438

NEPA Lessons Learned, June 2004  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

June 2004 June 2004 1 National Environmental Policy Act N E P A U.S. DEPARTMENT OF ENERGY QUARTERLY REPORT Second Quarter FY 2004 June 1, 2004; Issue No. 39 LESSONS LEARNED LEARNED LESSONS The recent scoping meetings for the Yucca Mountain Rail Alignment Environmental Impact Statement (EIS), using an "open house" format rather than more formal presentations, provided valuable information to the Department regarding issues of concern to the public. More than 300 persons who participated in the scoping meetings had the opportunity to engage in one-on-one dialogue with DOE representatives, discussing concerns and receiving answers to their questions. Individuals were also able to provide oral comments to a court reporter for the record. "An open and collaborative planning process is essential

439

Measurement requirements and methods for geothermal reservoir system parameters: an appraisal  

DOE Green Energy (OSTI)

One of the key needs in the advancement of geothermal energy is the availability of adequate measurements to aid the reservoir and production engineer in the development and operation of geothermal reservoirs, wells and the overall process plant. This report documents the geothermal parameters and their measurement requirements and provides an appraisal of measurement methods and instruments capable of meeting the requirements together with recommendations on identified deficiencies.

Lamers, M.D.

1979-08-01T23:59:59.000Z

440

Fish Life History Parameter Values for Equivalent Adult and Production Foregone Models: Comprehensive Update  

Science Conference Proceedings (OSTI)

A previous Electric Power Research Institute (EPRI) report (1008471) provided guidance on the use of two types of extrapolation models used in economic benefits analyses related to entrainment and impingement at power plant intake structures: equivalent adult (EA) models and production foregone (PF) models. To facilitate applications of these models by EPRI members, a follow-on report (1008832) provided estimates of species-specific mortality and growth rate parameters for 25 fish and macroinvertebrate s...

2012-04-30T23:59:59.000Z

Note: This page contains sample records for the topic "learning parameters plants" 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

EARLY ENTRANCE COPRODUCTION PLANT  

SciTech Connect

The overall objective of this project is the three phase development of an Early Entrance Coproduction Plant (EECP) which produces at least one product from at least two of the following three categories: (1) electric power (or heat), (2) fuels, and (3) chemicals using ChevronTexaco's proprietary gasification technology. The objective of Phase I is to determine the feasibility and define the concept for the EECP located at a specific site; develop a Research, Development, and Testing (RD&T) Plan to mitigate technical risks and barriers; and prepare a Preliminary Project Financing Plan. The objective of Phase II is to implement the work as outlined in the Phase I RD&T Plan to enhance the development and commercial acceptance of coproduction technology. The objective of Phase III is to develop an engineering design package and a financing and testing plan for an EECP located at a specific site. The project's intended result is to provide the necessary technical, economic, and environmental information needed by industry to move the EECP forward to detailed design, construction, and operation. The partners in this project are TES (a subsidiary of ChevronTexaco), General Electric (GE), Praxair, and Kellogg Brown & Root (KBR) in addition to the U.S. Department of Energy (DOE). TES is providing gasification technology and Fischer-Tropsch (F-T) technology developed by Rentech, GE is providing combustion turbine technology, Praxair is providing air separation technology, and KBR is providing engineering. Each of the EECP subsystems were assessed for technical risks and barriers. A plan was identified to mitigate the identified risks (Phase II RD&T Plan, October 2000). The RD&T Plan identified petroleum coke characteristics as a potential technical risk. The composition of petroleum coke varies from one refinery to another. Petroleum coke characteristics are a function of the crude oil slate available at the refinery and the coker operating parameters. The specific petroleum coke characteristics at a refinery affect the design of the Gasification and Acid Gas Removal (AGR) subsystems. Knowing the petroleum coke composition provides the necessary data to proceed to the EECP Phase III engineering design of the gasification process. Based on ChevronTexaco's experience, the EECP team ranked the technical, economic, and overall risks of the petroleum coke composition related to the gasification subsystem as low. In Phase I of the EECP Project, the Motiva Port Arthur Refinery had been identified as the potential EECP site. As a result of the merger between Texaco and Chevron in October 2001, Texaco was required to sell its interest in the Motiva Enterprises LLC joint venture to Shell Oil Company and Saudi Refining Inc. To assess the possible impact of moving the proposed EECP host site to a ChevronTexaco refinery, samples of petroleum coke from two ChevronTexaco refineries were sent to MTC for bench-scale testing. The results of the analysis of these samples were compared to the Phase I EECP Gasification Design Basis developed for Motiva's Port Arthur Refinery. The analysis confirms that if the proposed EECP is moved to a new refinery site, the Phase I EECP Gasification Design Basis would have to be updated. The lower sulfur content of the two samples from the ChevronTexaco refineries indicates that if one of these sites were selected, the Sulfur Recovery Unit (SRU) might be sized smaller than the current EECP design. This would reduce the capital expense of the SRU. Additionally, both ChevronTexaco samples have a higher hydrogen to carbon monoxide ratio than the Motiva Port Arthur petroleum coke. The higher hydrogen to carbon monoxide ratio could give a slightly higher F-T products yield from the F-T Synthesis Reactor. However, the EECP Gasification Design Basis can not be updated until the site for the proposed EECP site is finalized. Until the site is finalized, the feedstock (petroleum coke) characteristics are a low risk to the EECP project.

Abdalla H. Ali; John H. Anderson; Earl R. Berry; Charles H. Schrader; Lalit S. Shah

2003-04-16T23:59:59.000Z

442

Plant and Soil An International Journal on Plant-Soil  

E-Print Network (OSTI)

1 23 Plant and Soil An International Journal on Plant-Soil Relationships ISSN 0032-079X Plant Soil DOI 10.1007/s11104-012-1353-x Seedling growth and soil nutrient availability in exotic and native tree growth and soil nutrient availability in exotic and native tree species: implications for afforestation

Neher, Deborah A.

443

Optimized Parameters for a Mercury Jet Target  

Science Conference Proceedings (OSTI)

A study of target parameters for a high-power, liquid mercury jet target system for a neutrino factory or muon collider is presented. Using the MARS code, we simulate particle production initiated by incoming protons with kinetic energies between 2 and 100 GeV. For each proton beam energy, we maximize production by varying the geometric parameters of the target: the mercury jet radius, the incoming proton beam angle, and the crossing angle between the mercury jet and the proton beam. The number of muons surviving through an ionization cooling channel is determined as a function of the proton beam energy. We optimize the mercury jet target parameters: the mercury jet radius, the incoming proton beam angle and the crossing angle between the mercury jet and the proton beam for each proton beam energy. The optimized target radius varies from about 0.4 cm to 0.6 cm as the proton beam energy increases. The optimized beam angle varies from 75 mrad to 120 mrad. The optimized crossing angle is near 20 mrad for energies above 5 GeV. These values differ from earlier choices of 67 mrad for the beam angle and 33 mrad for the crossing angle. These new choices for the beam parameters increase the meson production by about 20% compared to the earlier parameters. Our study demonstrates that the maximum meson production efficiency per unit proton beam power occurs when the proton kinetic energy is in the range of 5-15 GeV. Finally, the dependence on energy of the number of muons at the end of the cooling channel is nearly identical to the dependence on energy of the meson production 50 m from the target. This demonstrates that the target parameters can be optimized without the additional step of running the distribution through a code such as ICOOL that simulates the bunching, phase rotation, and cooling.

Ding, X.; Kirk, H.

2010-12-01T23:59:59.000Z

444

A SINGLE-PARAMETER ADAPTIVE COMB FILTER  

E-Print Network (OSTI)

The study is concerned with a single-parameter adaptive comb filter (ACF), a multi-notch filter with periodically located nulls. The filter is suggested to retrieve a waveform modeled by superposition of harmonics, in particular, periodic non-sinusoidal signal. Using trigonometric constraints between the signal fundamental frequency and over tones results in a non-linear estimation problem. In the present study, the parameter adjustment relies on the extended Kalman filter scheme. Particularly, the 2, 3 and 4 notch ACF are derived and tested under different conditions. Given a multi-tone scenario, the ACF significantly outperforms common adaptive multi-notch filter.

Single-Parameter Adaptive Comb; Naum G. Chernoguz

2001-01-01T23:59:59.000Z

445

Bayesian Inference for Time Trends in Parameter Values using Weighted Evidence Sets  

SciTech Connect

There is a nearly ubiquitous assumption in PSA that parameter values are at least piecewise-constant in time. As a result, Bayesian inference tends to incorporate many years of plant operation, over which there have been significant changes in plant operational and maintenance practices, plant management, etc. These changes can cause significant changes in parameter values over time; however, failure to perform Bayesian inference in the proper time-dependent framework can mask these changes. Failure to question the assumption of constant parameter values, and failure to perform Bayesian inference in the proper time-dependent framework were noted as important issues in NUREG/CR-6813, performed for the U. S. Nuclear Regulatory Commission’s Advisory Committee on Reactor Safeguards in 2003. That report noted that “in-dustry lacks tools to perform time-trend analysis with Bayesian updating.” This paper describes an applica-tion of time-dependent Bayesian inference methods developed for the European Commission Ageing PSA Network. These methods utilize open-source software, implementing Markov chain Monte Carlo sampling. The paper also illustrates an approach to incorporating multiple sources of data via applicability weighting factors that address differences in key influences, such as vendor, component boundaries, conditions of the operating environment, etc.

D. L. Kelly; A. Malkhasyan

2010-09-01T23:59:59.000Z

446

System Definition and Analysis: Power Plant Design and Layout  

SciTech Connect

This is the Topical report for Task 6.0, Phase 2 of the Advanced Turbine Systems (ATS) Program. The report describes work by Westinghouse and the subcontractor, Gilbert/Commonwealth, in the fulfillment of completing Task 6.0. A conceptual design for critical and noncritical components of the gas fired combustion turbine system was completed. The conceptual design included specifications for the flange to flange gas turbine, power plant components, and balance of plant equipment. The ATS engine used in the conceptual design is an advanced 300 MW class combustion turbine incorporating many design features and technologies required to achieve ATS Program goals. Design features of power plant equipment and balance of plant equipment are described. Performance parameters for these components are explained. A site arrangement and electrical single line diagrams were drafted for the conceptual plant. ATS advanced features include design refinements in the compressor, inlet casing and scroll, combustion system, airfoil cooling, secondary flow systems, rotor and exhaust diffuser. These improved features, integrated with prudent selection of power plant and balance of plant equipment, have provided the conceptual design of a system that meets or exceeds ATS program emissions, performance, reliability-availability-maintainability, and cost goals.

1996-05-01T23:59:59.000Z

447

The Iowa Stored Energy Plant  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Robert Haug Executive Director Iowa Association of Municipal Utilities for Iowa Stored Energy Plant Agency THE IOWA STORED ENERGY PLANT What is ISEP? ISEP is a DOE-supported effort...

448

Pantex Plant | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Pantex Plant Pantex Plant Pantex Plant Pantex Plant | September 2010 Aerial View Pantex Plant | September 2010 Aerial View The primary mission of the Pantex Plant is the assembly, disassembly, testing, and evaluation of nuclear weapons in support of the NNSA stockpile stewardship program. Pantex also performs research and development in conventional high explosives and serves as an interim storage site for plutonium pits removed from dismantled weapons. Enforcement January 7, 2013 Enforcement Letter, NEL-2013-01 Issued to B&W Pantex, LLC related to the Conduct of Nuclear Explosive Operations at the Pantex Plant November 21, 2006 Preliminary Notice of Violation, BWXT Pantex, LLC - EA-2006-04 Issued to BWXT Pantex, LLC, related to Quality Assurance and Safety Basis Requirements Violations at the Pantex Plant

449

Production of virus resistant plants  

DOE Patents (OSTI)

A method of suppressing virus gene expression in plants using untranslatable plus sense RNA is disclosed. The method is useful for the production of plants that are resistant to virus infection.

Dougherty, William G. (Philomath, OR); Lindbo, John A. (Kent, WA)

1996-01-01T23:59:59.000Z

450

Maryland Nuclear Profile - Power Plants  

U.S. Energy Information Administration (EIA) Indexed Site

of State nuclear net generation (percent)","Owner" "Calvert Cliffs Nuclear Power Plant Unit 1, Unit 2","1,705","13,994",100.0,"Calvert Cliffs Nuclear PP Inc" "1 Plant 2...

451

Louisiana Nuclear Profile - Power Plants  

U.S. Energy Information Administration (EIA) Indexed Site

Louisiana nuclear power plants, summer capacity and net generation, 2010" "Plant NameTotal Reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear...

452

Production of virus resistant plants  

DOE Patents (OSTI)

A method of suppressing virus gene expression in plants using untranslatable plus sense RNA is disclosed. The method is useful for the production of plants that are resistant to virus infection. 9 figs.

Dougherty, W.G.; Lindbo, J.A.

1996-12-10T23:59:59.000Z

453

Belgrade Lot Steam Plant Lot  

E-Print Network (OSTI)

2 2A 2A Belgrade Lot Steam Plant Lot Alfond Lot Satellite Lot North Gym Lot Corbett Lot Dunn Lot Oceanographic Operations 1 2 8 5 3 4 7 6 AMC Chadbourne Merrill Aubert Hannibal Hamlin Steam Plant Crosby

Thomas, Andrew

454

Belgrade Lot Steam Plant Lot  

E-Print Network (OSTI)

2 2A 2A Belgrade Lot Steam Plant Lot Alfond Lot Satellite Lot North Gym Lot Corbett Lot Dunn Lot Chadbourne Merrill Aubert Hannibal Hamlin Steam Plant Crosby Machine Tool Lab Children's Center Rogers N

Thomas, Andrew

455

Use ENERGY STAR benchmarking tools | ENERGY STAR Buildings & Plants  

NLE Websites -- All DOE Office Websites (Extended Search)

Use ENERGY STAR benchmarking tools Use ENERGY STAR benchmarking tools Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section How can we help you? Build an energy program Improve building and plant performance Earn the ENERGY STAR and other recognition Benchmark energy use Learn about benchmarking Use ENERGY STAR benchmarking tools ENERGY STAR in action Communicate and educate

456

T Plant Cell Investigation  

Science Conference Proceedings (OSTI)

The Waste Management Project within Fluor Hanford performed an initial investigation of the current and historical contents of 221-T (T Plant Canyon) process cells. This Phase I report is intended to be followed by a final, more detailed, Phase II report. This information has been gathered in order to help reduce uncertainties and future surprises regarding cell contents during future work in and around T Plant process cells. The information was obtained from available documentation and was compiled into a database that is included in the report. Resolution of any apparently conflicting information was not a part of the Phase I effort. No information has been found to date that would indicate there could be a significant unexpected hazard in any of the process cells.

HLADEK, K.L.

2001-09-20T23:59:59.000Z

457

NETL: Power Plant Improvement Initiative  

NLE Websites -- All DOE Office Websites (Extended Search)

Project Performance Summaries Power Plant Improvement Initiative (PPII) Project Performance Summaries Project Performance Summaries are written after project completion. These...

458

US prep plant census 2008  

Science Conference Proceedings (OSTI)

Each year Coal Age conducts a fairly comprehensive survey of the industry to produce the US coal preparation plant survey. This year's survey shows how many mergers and acquisitions have given coal operators more coal washing capacity. The plants are tabulated by state, giving basic details including company owner, plant name, raw feed, product ash %, quality, type of plant builder and year built. 1 tab., 1 photo.

Fiscor, S.

2008-10-15T23:59:59.000Z

459

Importance of Processing Plant Information  

U.S. Energy Information Administration (EIA)

... new survey instrument to collect information from natural gas processing plants during non-emergency and supply-emergency conditions. ...

460

Radioactive Colloid Removal by Optimizing Chemical Parameters  

Science Conference Proceedings (OSTI)

Engineering and operational differences between nuclear power plants cause large differences in the composition of liquid radioactive waste (LRW) streams. These differences effectively negate any standardized procedure for treatment of these streams before discharge to the environment. This report describes a method EPRI developed to characterize LRW streams and recommend optimum treatment strategies. The report illustrates the concept, demonstrates the application of the methodology, and provides a fram...

2003-04-22T23:59:59.000Z

Note: This page contains sample records for the topic "learning parameters plants" 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

IMPROVEMENTS IN POWER PLANT  

SciTech Connect

A power plant for nuclear reactors is designed for improved cycle efficiency. In addition to the usual heat exchanger for heat transfer from gaseous reactor coolant to water for vaporization, a second heat exchanger is provided between the first heat exchanger and a point betwveen the intermediate- pressure and low-pressure turbine stages. In this way, interstage reheating of the steam is obtained without passage of the steam back to the first heat exchanger. (D.L.C.) Research Reactors

Peters, M.C.

1961-10-11T23:59:59.000Z

462

Nuclear Plant Decommissioning  

Science Conference Proceedings (OSTI)

In the 1990s several nuclear utilities proceeded with full decommissioning of their nuclear power plants based on perceived economics. This major shift to immediate decommissioning presented a significant challenge to the industry in terms of the development of a decommissioning process and a comprehensive updated regulatory framework. EPRI responded by undertaking the formation of the Decommissioning Support Program. The initial work involved conducting a series of topical workshops directed to specific...

2010-11-24T23:59:59.000Z

463

NEUTRONIC REACTOR POWER PLANT  

DOE Patents (OSTI)

This patent relates to a nuclear reactor power plant incorporating an air-cooled, beryllium oxide-moderated, pebble bed reactor. According to the invention means are provided for circulating a flow of air through tubes in the reactor to a turbine and for directing a sidestream of the circu1ating air through the pebble bed to remove fission products therefrom as well as assist in cooling the reactor. (AEC)

Metcalf, H.E.

1962-12-25T23:59:59.000Z

464

Poinsettia -- The Christmas Plant  

NLE Websites -- All DOE Office Websites (Extended Search)

Poinsettia -- The Christmas Plant Poinsettia -- The Christmas Plant Nature Bulletin No. 699 December 22, 1962 Forest Preserve District of Cook County Seymour Simon, President Roberts Mann, Conservation Editor POINSETTIA -- THE CHRISTMAS PLANT Christmas is a day of family gatherings. In each home they have their own traditional customs. Some of us cherish those that are peculiar to the region where we were children, or the land from whence our forefathers came. Most of us have also adopted customs -- such as decorating with holly and mistletoe -- that stem from ancient pagan ceremonies or festivals but have lost their original significance. There are many myths and legends about the origin of our Yuletide customs. (See Bulletins No. 135, 173, 211, 326 and 475). In this country most families have a Christmas tree, a custom that was introduced from Germany by Hessian troops in the British army during the Revolutionary War. It prevails in Britain and most of northern Europe but is unusual in Italy, Spain and Latin America. There, the symbol of Christmas and heart of the celebration in a home is not an Evergreen tree but a miniature reproduction of the stable and manger where Christ was born.

465

Plants of the Bible  

NLE Websites -- All DOE Office Websites (Extended Search)

Bible Bible Nature Bulletin No. 188-A April 16, 1965 Forest Preserve District of Cook County Seymour Simon, President Roland F. Eisenbeis, Supt. of Conservation PLANTS OF THE BIBLE When Jesus suffered on the cross, we are told in the Gospel according to St. Matthew (27:48) that at the ninth hour he thirsted and a sponge, filled with vinegar and put upon a reed, was raised to His lips. It is so related in St. Mark (15:36) but according to St. John (19:29), "they filled a sponge with vinegar, and put it upon hyssop, and put it into his mouth. " What was hyssop. The plant is mentioned frequently in the Bible. The hyssop of our herb gardens is not native to Palestine, Syria or Egypt, but there is evidence that when Solomon "spoke of trees, from the cedar tree that is in Lebanon even unto the hyssop that springeth out of the wall" (I Kings 4:23), he spoke of the herb we call marjoram. The hyssop dipped in the blood of a sacrificial lamb and used by the Israelites in Egypt to mark their doorways (Exodus 12:22), and the hyssop referred to by St. John but called a reed by St. Matthew and St. Mark, was probably sorghum, a tall cereal plant grown by the Jews for food and also used for brushes and brooms.

466

Delayed Planting Considerations for Corn  

E-Print Network (OSTI)

Quite a bit of Indiana’s corn crop remains to be planted, especially in southern Indiana, due to the current rainy spell that put the brakes on what had been a very rapid planting pace. As of 11 May, 42 % of Indiana’s intended corn acreage was yet to be planted (USDA-NASS,

John Obermeyer; Entomology Dept; Tony Vyn; Agronomy Dept

2003-01-01T23:59:59.000Z

467

Pantex Plant | National Nuclear Security Administration  

National Nuclear Security Administration (NNSA)

Locations > Pantex Plant Pantex Plant http:www.pantex.com Field Office: The NNSA Production Office is responsible for contract management and oversight of the Pantex Plant in...

468

The Kansas City Plant | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

The Kansas City Plant The Kansas City Plant The Kansas City Plant More Documents & Publications OPSAID Initial Design and TestingReport SECURITY CORE FUNCTION AND DEFINITION REPORT...

469

Uncertainty evaluation of delayed neutron decay parameters  

E-Print Network (OSTI)

In a nuclear reactor, delayed neutrons play a critical role in sustaining a controllable chain reaction. Delayed neutron’s relative yields and decay constants are very important for modeling reactivity control and have been studied for decades. Researchers have tried different experimental and numerical methods to assess these delayed neutron parameters. The reported parameter values vary widely, much more than the small statistical errors reported with these parameters. Interestingly, the reported parameters fit their individual measurement data well in spite of these differences. This dissertation focuses on evaluation of the errors and methods of delayed neutron relative yields and decay constants for thermal fission of U-235. Various numerical methods used to extract the delayed neutron parameter from the measured data, including Matrix Inverse, Levenberg-Marquardt, and Quasi-Newton methods, were studied extensively using simulated delayed neutron data. This simulated data was Poisson distributed around Keepin’s theoretical data. The extraction methods produced totally different results for the same data set, and some of the above numerical methods could not even find solutions for some data sets. Further investigation found that ill-conditioned matrices in the objective function were the reason for the inconsistent results. To find a reasonable solution with small variation, a regularization parameter was introduced using a numerical method called Ridge Regression. The results from the Ridge Regression method, in terms of goodness of fit to the data, were good and often better than the other methods. Due to the introduction of a regularization number in the algorithm, the fitted result contains a small additional bias, but this method can guarantee convergence no matter how large the coefficient matrix condition number. Both saturation and pulse modes were simulated to focus on different groups. Some of the factors that affect the solution stability were investigated including initial count rate, sample flight time, initial guess values. Finally, because comparing reported delayed neutron parameters among different experiments is useless to determine if their data actually differs, methods are proposed that can be used to compare the delayed neutron data sets.

Wang, Jinkai

2008-12-01T23:59:59.000Z

470

Saguargo Solar Power Plant Solar Power Plant | Open Energy Information  

Open Energy Info (EERE)

Saguargo Solar Power Plant Solar Power Plant Saguargo Solar Power Plant Solar Power Plant Jump to: navigation, search Name Saguargo Solar Power Plant Solar Power Plant Facility Saguargo Solar Power Plant Sector Solar Facility Type Concentrating Solar Power Facility Status In Service Developer Solargenix Location Red Rock, Arizona Coordinates 32.54795°, -111.292887° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":32.54795,"lon":-111.292887,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

471

Deming Solar Plant Solar Power Plant | Open Energy Information  

Open Energy Info (EERE)

Deming Solar Plant Solar Power Plant Deming Solar Plant Solar Power Plant Jump to: navigation, search Name Deming Solar Plant Solar Power Plant Facility Deming Solar Plant Sector Solar Facility Type Photovoltaic Developer New Solar Ventures/ Solar Torx 50/50 Location New Mexico Coordinates 34.9727305°, -105.0323635° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":34.9727305,"lon":-105.0323635,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

472

Prescott Airport Solar Plant Solar Power Plant | Open Energy Information  

Open Energy Info (EERE)

Prescott Airport Solar Plant Solar Power Plant Prescott Airport Solar Plant Solar Power Plant Jump to: navigation, search Name Prescott Airport Solar Plant Solar Power Plant Facility Prescott Airport Solar Plant Sector Solar Facility Type Photovoltaic Developer APS Location Prescott, Arizona Coordinates 34.5400242°, -112.4685025° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":34.5400242,"lon":-112.4685025,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

473

Solana Generating Plant Solar Power Plant | Open Energy Information  

Open Energy Info (EERE)

Plant Solar Power Plant Plant Solar Power Plant Jump to: navigation, search Name Solana Generating Plant Solar Power Plant Facility Solana Generating Plant Sector Solar Facility Type Concentrating Solar Power Facility Status Under Construction Developer Abengoa Solar Location Gila Bend, Arizona Coordinates 32.916163°, -112.968727° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":32.916163,"lon":-112.968727,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

474

Producing multimedia pills to stimulate student learning and engagement  

Science Conference Proceedings (OSTI)

A student-centred learning approach (SCL) plays an essential role in the European Higher Education Area. Most students tend to reach a higher level of understanding in learning activities they developed themselves using this approach. In contrast, most ... Keywords: learning outcomes, multimedia learning pills, student experiments, student-centred learning

Elena Sánchez-Nielsen

2013-07-01T23:59:59.000Z

475

Argument based machine learning in a medical domain  

Science Conference Proceedings (OSTI)

Argument Based Machine Learning (ABML) is a new approach to machine learning in which the learning examples can be accompanied by arguments. The arguments for specific examples are a special form of expert's knowledge which the expert uses to substantiate ... Keywords: Argument Based Machine Learning, Bacterial Infections, Geriatric Population, Rule Learning

Jure Žabkar; Martin Možina; Jerneja Vide?nik; Ivan Bratko

2006-05-01T23:59:59.000Z

476

Using mobile devices to support online collaborative learning  

Science Conference Proceedings (OSTI)

Mobile collaborative learning is considered the next step of on-line collaborative learning by incorporating mobility as a key and breakthrough requirement. Indeed, the current wide spread of mobile devices and wireless technologies brings an enormous ... Keywords: Mobile collaborative learning, behaviorism, constructivism, mobile technologies, pervasiveness, situated learning, social learning, ubiquity

Santi Caballé; Fatos Xhafa; Leonard Barolli

2010-01-01T23:59:59.000Z

477

Home - Pantex Plant  

NLE Websites -- All DOE Office Websites (Extended Search)

Blog Post and Photos » Blog » Current Issue » Learn More » Our History » PrevNext Securing America as the NNSA's production integrator and provider of the nuclear deterrent to the Department of Defense; serving the Nuclear Security Enterprise through our Highly Reliable people, processes, infrastructure, and business systems. Visitor Center Resources for Pantex visitors Emergency Information What to do in case of an emergency at Pantex Employee Information Resources for Pantex employees Retiree Information Resources for Pantex retirees Press Releases Pantex Run Against Hunger Rescheduled IPRO Goes Live at Pantex Pantex Achieves Environmental Mark Blog Posts First Blade Delivered to Pantex Renewable Energy Project January 10, 2014 B&W Pantex Makes Donation to United Way

478

Utility & Regulatory Factors Affecting Cogeneration & Independent Power Plant Design & Operation  

E-Print Network (OSTI)

In specifying a cogeneration or independent power plant, the owner should be especially aware of the influences which electric utilities and regulatory bodies will have on key parameters such as size, efficiency, design, reliability/ availability, operating capabilities and modes, etc. This paper will note examples of some of the major factors which could impact the project developer and his economics, as well as discuss potential mitigation measures. Areas treated include wheeling, utility ownership interests, dispatchability, regulatory acceptance and other considerations which could significantly affect the plant definition and, as a result, its attendant business and financing structure. Finally, suggestions are also made for facilitating the process of integration with the electric utility.

Felak, R. P.

1986-06-01T23:59:59.000Z

479

PRFR PILOT LEACHING PLANT-PRELIMINARY PROCESS DESIGN  

SciTech Connect

The preliminary process design of a PRFR pilot leaching plant, the proposed location of which is in Cell B of Building 3026 at ORNL, is considered. Chemical, physical, and nuclear parameters are investigated to assure safe leaching operations. Nitric acid solvents are used for leaching the uranium and/ or thorium from the sheared spent fuel elements, and the dissolved fuel is sent through a shielded pipeline to the extraction plant for further processing. Recommended materials of construction are 304L stainless steel and 3O9SCb stainless steel, and maintenance is by direct procedures. (auth)

McLain, H.A.

1959-07-23T23:59:59.000Z

480

Embedding your Green Message through Asynchronous Learning  

E-Print Network (OSTI)

Greensboro, USA Electronic Green Journal, Issue 32, FallEducator. Electronic Green Journal, 1( 25). Retrieved from:Embedding your Green Message through Asynchronous Learning

Filar Williams, Beth

2011-01-01T23:59:59.000Z

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481

NREL: Learning - Student Resources on Renewable Energy  

NLE Websites -- All DOE Office Websites (Extended Search)

Solar energy Concentrating solar power systems Passive solar heating Photovoltaic (solar cell) systems Solar hot water Wind energy Printable Version Learning About Renewable...

482

Migratory Bird Treaty Act: Lessons Learned  

NLE Websites -- All DOE Office Websites (Extended Search)

January 17, 2013 1 THERESA ALDRIDGE, PACIFIC NORTHWEST SITE OFFICE NEPA Compliance Office Richland Washington Migratory Bird Treaty Act: Lessons Learned Along with 800 other...

483

Industrial Learning in Non-Ferrous Smelting  

Science Conference Proceedings (OSTI)

... always equally astonishing how much more there is to be learnt. Our industry has demonstrated impressive industrial learning curves. Proceedings Inclusion?

484

Safe Feature Elimination in Sparse Supervised Learning  

E-Print Network (OSTI)

Sep 17, 2010 ... learning problems involving a convex loss function and a l1-norm penalty, ...... The curves represent the differences between the number of.

485

Bayesian Generic Priors for Causal Learning  

E-Print Network (OSTI)

informal argumenta- tion: A Bayesian approach to reasoningcausal learning using Bayesian generic priors on generativeHolyoak, K. J. (2007). Bayesian models of judgments of

Lu, Hongjing; Yuille, Alan L.; Liljeholm, Mimi; Cheng, Patricia W.; Holyoak, Keith J.

2008-01-01T23:59:59.000Z

486

Bayesian Generic Priors for Causal Learning  

E-Print Network (OSTI)

informal argumenta- tion: A Bayesian approach to reasoningcausal learning using Bayesian generic priors on generativeHolyoak, K. J. (2007). Bayesian models of judgments of

Hongjing Lu; Alan L. Yuille; Mimi Liljeholm; Patricia W. Cheng; Keith J. Holyoak

2011-01-01T23:59:59.000Z

487

Event:SD-Learning | Open Energy Information  

Open Energy Info (EERE)

The courses aim at providing participants with practical knowledge and hands-on training from experts around the world. Event Details Name SD-Learning Date 20120613...

488

B plant mission analysis report  

SciTech Connect

This report further develops the mission for B Plant originally defined in WHC-EP-0722, ``System Engineering Functions and Requirements for the Hanford Cleanup Mission: First Issue.`` The B Plant mission analysis will be the basis for a functional analysis that breaks down the B Plant mission statement into the necessary activities to accomplish the mission. These activities are the product of the functional analysis and will then be used in subsequent steps of the systems engineering process, such as identifying requirements and allocating those requirements to B Plant functions. The information in this mission analysis and the functional and requirements analysis are a part of the B Plant technical baseline.

Lund, D.P.

1995-05-24T23:59:59.000Z

489

Direct FuelCell/Turbine Power Plant  

DOE Green Energy (OSTI)

This report summarizes the progress made in development of Direct FuelCell/Turbine (DFC/T{reg_sign}) power plants for generation of clean power at very high efficiencies. The DFC/T system employs an indirectly heated Turbine Generator to supplement fuel cell generated power. The concept extends the high efficiency of the fuel cell by utilizing the fuel cell's byproduct heat in a Brayton cycle. Features of the DFC/T system include: electrical efficiencies of up to 75% on natural gas, minimal emissions, reduced carbon dioxide release to the environment, simplicity in design, direct reforming internal to the fuel cell, and potential cost competitiveness with existing combined cycle power plants. Proof-of-concept tests using a sub-MW-class DFC/T power plant at FuelCell Energy's (FCE) Danbury facility were conducted to validate the feasibility of the concept and to measure its potential for electric power production. A 400 kW-class power plant test facility was designed and retrofitted to conduct the tests. The initial series of tests involved integration of a full-size (250 kW) Direct FuelCell stack with a 30 kW Capstone microturbine. The operational aspects of the hybrid system in relation to the integration of the microturbine with the fuel cell, process flow and thermal balances, and control strategies for power cycling of the system, were investigated. A subsequent series of tests included operation of the sub-MW Direct FuelCell/Turbine power plant with a Capstone C60 microturbine. The C60 microturbine extended the range of operation of the hybrid power plant to higher current densities (higher power) than achieved in initial tests using the 30kW microturbine. The proof-of-concept test results confirmed the stability and controllability of operating a fullsize (250 kW) fuel cell stack in combination with a microturbine. Thermal management of the system was confirmed and power plant operation, using the microturbine as the only source of fresh air supply to the system, was demonstrated. System analyses of 40 MW DFC/T hybrid systems, approaching 75% efficiency on natural gas, were carried out using CHEMCAD simulation software. The analyses included systems for near-term and long-term deployment. A new concept was developed that was based on clusters of one-MW fuel cell modules as the building blocks. The preliminary design of a 40 MW power plant, including the key equipment layout and the site plan, was completed. The process information and operational data from the proof-of-concept tests were used in the design of 40 MW high efficiency DFC/T power plants. A preliminary cost estimate for the 40 MW DFC/T plant was also prepared. Pilot-scale tests of the cascaded fuel cell concept for achieving high fuel utilizations were conducted. The tests demonstrated that the concept has the potential to offer higher power plant efficiency. Alternate stack flow geometries for increased power output and fuel utilization capabilities were also evaluated. Detailed design of the packaged sub-MW DFC/T Alpha Unit was completed, including equipment and piping layouts, instrumentation, electrical, and structural drawings. The lessons learned from the proof-of-concept tests were incorporated in the design of the Alpha Unit. The sub-MW packaged unit was fabricated, including integration of the Direct FuelCell{reg_sign} (DFC{reg_sign}) stack module with the mechanical balance-of-plant and electrical balance-of-plant. Factory acceptance tests of the Alpha DFC/T power plant were conducted at Danbury, CT. The Alpha Unit achieved an unsurpassed electrical efficiency of 58% (LHV natural gas) during the factory tests. The resulting high efficiency in conversion of chemical energy to electricity far exceeded any sub-MW class power generation equipment presently in the market. After successful completion of the factory tests, the unit was shipped to the Billings Clinic in Billings, MT, for field demonstration tests. The DFC/T unit accomplished a major achievement by successfully completing 8000 hours of operation at the Billings site. The Alpha sub-MW DF

Hossein Ghezel-Ayagh

2008-09-30T23:59:59.000Z

490

A deterministic crowding evolutionary algorithm to form learning teams in a collaborative learning context  

Science Conference Proceedings (OSTI)

The aim of forming collaborative learning teams is that participating students acquire new knowledge and skills through the interaction with their peers. To reach this aim, teachers usually utilize a grouping criterion based on the students' roles and ... Keywords: Collaborative learning, Evolutionary algorithms, Learning team formation, Roles

Virginia Yannibelli; Analía Amandi

2012-08-01T23:59:59.000Z

491

Learning to suggest: a machine learning framework for ranking query suggestions  

Science Conference Proceedings (OSTI)

We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probability that a user may find a follow-up query both useful and relevant, ... Keywords: machine learning, query log mining, query suggestion, search assistance

Umut Ozertem; Olivier Chapelle; Pinar Donmez; Emre Velipasaoglu

2012-08-01T23:59:59.000Z

492

A Dual-Mode Learning Mechanism Combining Knowledge-Education and Machine-Learning  

Science Conference Proceedings (OSTI)

From 1956, the definitions of learning according to Artificial Intelligence and Psychology to human mind/behavior are obviously different. Owing to the rapid development of the computing power, we have potential to enhance the learning mechanism of AI.This ... Keywords: Artificial intelligence, Intelligence-Learning, Psychology, Teaching-base education, Trial and error

Yichang Chen; Anpin Chen

2008-09-01T23:59:59.000Z

493

Technology enhanced language learning: student motivation in computer assisted language learning  

Science Conference Proceedings (OSTI)

The aim of this paper is to present a new investigation on the impact of implementing technology on Bulgarian students' motivation after a Computer Assisted Language Learning (CALL) course. It suggests designing and applying instruments for assessing ... Keywords: computer assisted language learning (CALL), information and communication technologies, student motivation, web-based language learning

Anelly Kremenska

2007-06-01T23:59:59.000Z

494

Waste Isolation Pilot Plant - Reports  

NLE Websites -- All DOE Office Websites (Extended Search)

Reports Reports Waste Isolation Pilot Plant Review Report 2013 Review of the Waste Isolation Pilot Plant Work Planning and Control Activities, April 2013 Review Report 2012 Review of Site Preparedness for Severe Natural Phenomena Events at the Waste Isolation Pilot Plant, November 2012 Activity Reports 2011 Orientation Visit to the Waste Isolation Pilot Plant, September 2011 Review Reports 2007 Independent Oversight Inspection of Emergency Management at the Carlsbad Field Office and Waste Isolation Pilot Plant, December 2007 Review Reports 2002 Inspection of Environment, Safety, and Health and Emergency Management at the Waste Isolation Pilot Plant - Summary Report, August 2002 Inspection of Environment, Safety, and Health Management at the Waste Isolation Pilot Plant - Volume I, August 2002

495

Pinellas Plant Environmental Baseline Report  

Science Conference Proceedings (OSTI)

The Pinellas Plant has been part of the Department of Energy`s (DOE) nuclear weapons complex since the plant opened in 1957. In March 1995, the DOE sold the Pinellas Plant to the Pinellas County Industry Council (PCIC). DOE has leased back a large portion of the plant site to facilitate transition to alternate use and safe shutdown. The current mission is to achieve a safe transition of the facility from defense production and prepare the site for alternative uses as a community resource for economic development. Toward that effort, the Pinellas Plant Environmental Baseline Report (EBR) discusses the current and past environmental conditions of the plant site. Information for the EBR is obtained from plant records. Historical process and chemical usage information for each area is reviewed during area characterizations.

Not Available

1997-06-01T23:59:59.000Z

496

Learning Scene Categories from High Resolution Satellite Image for Aerial Video Analysis  

SciTech Connect

Automatic scene categorization can benefit various aerial video processing applications. This paper addresses the problem of predicting the scene category from aerial video frames using a prior model learned from satellite imagery. We show that local and global features in the form of line statistics and 2-D power spectrum parameters respectively can characterize the aerial scene well. The line feature statistics and spatial frequency parameters are useful cues to distinguish between different urban scene categories. We learn the scene prediction model from highresolution satellite imagery to test the model on the Columbus Surrogate Unmanned Aerial Vehicle (CSUAV) dataset ollected by high-altitude wide area UAV sensor platform. e compare the proposed features with the popular Scale nvariant Feature Transform (SIFT) features. Our experimental results show that proposed approach outperforms te SIFT model when the training and testing are conducted n disparate data sources.

Cheriyadat, Anil M [ORNL

2011-01-01T23:59:59.000Z

497

Lessons Learned from the Puerto Rico Battery Energy Storage System  

DOE Green Energy (OSTI)

The Puerto Rico Electric Power Authority (PREPA) installed a battery energy storage system in 1994 at a substation near San Juan, Puerto Rico. It was patterned after two other large energy storage systems operated by electric utilities in California and Germany. The Puerto Rico facility is presently the largest operating battery storage system in the world and has successfully provided frequency control, voltage regulation, and spinning reseme to the Caribbean island. The system further proved its usefulness to the PREPA network in the fall of 1998 in the aftermath of Hurricane Georges. However, the facility has suffered accelerated cell failures in the past year and PREPA is committed to restoring the plant to full capacity. This represents the first repowering of a large utility battery facility. PREPA and its vendors and contractors learned many valuable lessons during all phases of project development and operation, which are summarized in this paper.

Boyes, John D.; De Anda, Mindi Farber; Torres, Wenceslao

1999-08-11T23:59:59.000Z

498

PVUSA construction and safety: Experience, lessons learned and costs  

DOE Green Energy (OSTI)

This report is the first of a series of PVUSA reports on PVUSA experiences and lessons learned at the demonstration sites in Davis and Kerman, California. During the course of approximately 6 years (1988--1993), nine PV systems have been installed ranging from 20 kW to 500 kW. Five 20-kW emerging module technology arrays were installed on universal project-provided structures, and four utility-scale systems (200 to 500 kW) were installed as turnkey (vendor designed and integrated) systems. The report emphasizes PVUSA construction and safety experience from the installation of these systems and is intended for use by utility personnel engaged in the construction of a photovoltaic (PV) power plant (e.g., engineers, construction supervisors, etc.).

Shipman, D.

1994-09-01T23:59:59.000Z

499

PUREX/UO{sub 3} facilities deactivation lessons learned history  

SciTech Connect

The Plutonium-Uranium Extraction (PUREX) Facility operated from 1956-1972, from 1983-1988, and briefly during 1989-1990 to produce for national defense at the Hanford Site in Washington State. The Uranium Trioxide (UO{sub 3}) Facility operated at the Hanford Site from 1952-1972, 1984-1988, and briefly in 1993. Both plants were ordered to permanent shutdown by the U.S. Department of Energy (DOE) in December 1992, thus initiating their deactivation phase. Deactivation is that portion of a facility`s life cycle that occurs between operations and final decontamination and decommissioning (D&D). This document details the history of events, and the lessons learned, from the time of the PUREX Stabilization Campaign in 1989-1990, through the end of the first full fiscal year (FY) of the deactivation project (September 30, 1994).

Hamrick, D.G.; Gerber, M.S.

1995-01-01T23:59:59.000Z

500

HFIR Technical Parameters | ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

Reactor Technical Parameters Reactor Technical Parameters Overview HFIR Pool Layout HFIR pool layout. HFIR is a beryllium-reflected, light-water-cooled and -moderated, flux-trap type reactor that uses highly enriched uranium-235 as the fuel. The image on the right is a cutaway of the reactor which shows the pressure vessel, its location in the reactor pool, and some of the experiment facilities. The preliminary conceptual design of the reactor was based on the "flux trap" principle, in which the reactor core consists of four annular regions of fuel surrounding an unfueled moderating region or "island" (see cross section view). Such a configuration permits fast neutrons leaking from the fuel to be moderated in the island and thus produces a region of very high thermal-neutron flux at the center of the island. This reservoir of