Sample records for technology learning parameters

  1. Century Learning through Apple Technology

    E-Print Network [OSTI]

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

  2. E-learning? Technology enhanced

    E-Print Network [OSTI]

    Loch, Birgit

    9/15/2010 1 E-learning? Technology enhanced teaching and learning in symbol-based disciplines? Swinburne University of Technology, Melbourne, Australia 2 #12;9/15/2010 2 An Example: Make t the subject 2 3 Swinburne University of Technology, Melbourne, Australia 3 HMS111 An Example: Make t the subject 2

  3. Technology Enhanced Learning and Distance Learning February 21, 2008

    E-Print Network [OSTI]

    Southern California, University of

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

  4. Innovative Learning Technology Initiative W.S. Hodgkiss

    E-Print Network [OSTI]

    Gleeson, Joseph G.

    Innovative Learning Technology Initiative (ILTI) W.S. Hodgkiss AVC Academic Personnel and Resources 29 October 2013 #12;Innovative Learning Technology Initiative (ILTI) · Established January 2013-16) #12;Innovative Learning Technology Initiative (ILTI) · Components · Courses and Course Components Goal

  5. Literature Review in Mobile Technologies and Learning

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Literature Review in Mobile Technologies and Learning REPORT 11: FUTURELAB SERIES Laura Naismith to educational policy and practice. #12;FOREWORD Mobile technologies are a familiar part of the lives of most or the wider world. Newer developments in mobile phone technology are also beginning to offer the potential

  6. Digital Technology For Conviviality 99 Lessons Learned 5555

    E-Print Network [OSTI]

    Digital Technology For Conviviality 99 Lessons Learned 5555 5.1 The Essence of Conviviality 5 at all. Quite the contrary, he learns well and he is fluent no less than any #12;5 ­ Lessons Learned 100 definition of #12;5 ­ Lessons Learned Digital Technology For Conviviality 101 himself as an incapable person

  7. Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data

    E-Print Network [OSTI]

    California at Los Angeles, University of

    in terms of the observed data, which is asymptotically consistent. Based on this framework, we contributeEfficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data Guy Van den Broeck and Karthika Mohan and Arthur Choi and Judea Pearl University of California, Los Angeles Los

  8. Visual Design of coherent Technology-Enhanced Learning Systems: a few lessons learned from CPM language

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Visual Design of coherent Technology-Enhanced Learning Systems: a few lessons learned from CPM Systems: a few lessons learned from CPM language Abstract. Visual instructional design languages currently Botturi ; Todd Stubbs (Ed.) (2007) 254-280" #12;-1- Visual Design of coherent Technology-Enhanced Learning

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

    SciTech Connect (OSTI)

    Gumerman, Etan; Marnay, Chris

    2004-01-16T23:59:59.000Z

    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.

  10. Learning from Buildings: Technologies for Measuring, Benchmarking, and Improving Performance

    E-Print Network [OSTI]

    Arens, Edward; Brager, Gail; Goins, John; Lehrer, David

    2011-01-01T23:59:59.000Z

    and P. Price, 2009. “Building Energy Information Systems:2011. Learning from buildings: technologies for measuring,Information to Improve Building Performance: A Study of

  11. Technology Interactions among Low Carbon Energy Technologies: What Can We Learn from a Large Number of Scenarios?

    SciTech Connect (OSTI)

    McJeon, Haewon C.; Clarke, Leon E.; Kyle, G. Page; Wise, Marshall A.; Hackbarth, Andrew; Bryant, Ben; Lempert, Rob

    2011-05-25T23:59:59.000Z

    This paper describes what can we learn from a large number of climate mitigation technology scenarios?

  12. The use of interactive learning technologies in elementary and middle school classrooms

    E-Print Network [OSTI]

    Restrepo, Carmen L.

    2011-01-01T23:59:59.000Z

    SAN DIEGO The Use of Interactive Learning Technologies inDissertation The Use of Interactive Learning Technologies inlectures more fun and interactive. Caldwell (2007) offered a

  13. Ontology Technology for the Development and Deployment of Learning Technology Systems -a Survey

    E-Print Network [OSTI]

    Lee, Hyowon

    Ontology Technology for the Development and Deployment of Learning Technology Systems - a Survey is an initiative to bring meaning to the Web. The Semantic Web is based on ontology technology ­ a knowledge five scenarios demonstrating different forms of applications of ontology technologies

  14. Session 2380 TECHNOLOGY AS A TEACHING AND LEARNING TOOL

    E-Print Network [OSTI]

    Larkin, Teresa L.

    incorporated within many domains of science, mathematics, engineering, and technology (SMET) education laboratory experiment designed to teach the concept of momentum and impulse to introductory physics students-based learning tools in the physics laboratory to specific strategies that can be used to assess student learning

  15. Learning Curves For Energy Technology: A Critical Assessment

    E-Print Network [OSTI]

    Jamasb, Tooraj; Kohler, Jonathan

    restrictions over time (e.g. nuclear, and coal if flue gas desulphurization costs are not separated), and for price-based (as opposed to cost-based) learning rates in some periods reflecting aspects of market behavior. For many technologies, learning rates...

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

    E-Print Network [OSTI]

    Gumerman, Etan; Marnay, Chris

    2004-01-01T23:59:59.000Z

    of International Learning on Technology Cost. In Issues ofbetween initial new technology cost estimates and actualthe revolutionary technologies have cost reductions beyond

  17. PREPARATION OF PAPERS FOR THE INTERNATIONAL JOURNAL ON EMERGING TECHNOLOGIES IN LEARNING Contextual Mobile Learning Strongly Related to

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    . INTRODUCTION As mobile technologies are becoming more and more widespread in people's daily life, there has been a huge increase in studies and experiments regarding the use of mobile technologies for learning various mobile learning technologies, but in the meanwhile arguments for the mobile learning definition

  18. Literature Review in Languages, Technology and Learning

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    is committed to sharing the lessons learnt from our research and development in order to inform positive change OF GOOD TEACHING AND GOOD TEACHING MATERIALS 10 SECTION 7 RELEVANT TECHNOLOGIES AND TECHNOLOGY'S FUTURE, University of Wales Swansea This report has been designed to enable both rapid identification of the key

  19. Post-Training Support for Learning Technology Sam Snoddy, Jr.

    E-Print Network [OSTI]

    Novick, David G.

    Post-Training Support for Learning Technology Sam Snoddy, Jr. Cloudcroft Schools P.O. Box 198 the effects of post-training support, we studied the introduction of new gradebook software in a public high school. The school's 108 faculty members received training on the software, and approximately half

  20. MAS.714J / STS.445J Technologies for Creative Learning, Fall 2004

    E-Print Network [OSTI]

    Resnick, Mitchel

    This course explores how new technologies can help people learn new things in new ways. It analyzes principles and strategies underlying the design of innovative educational technologies and creative learning environments, ...

  1. ADJUSTMENT COSTS, LEARNING-BY-DOING, AND TECHNOLOGY ADOPTION UNDER UNCERTAINTY

    E-Print Network [OSTI]

    Pavlova, Anna

    2003-01-27T23:59:59.000Z

    We consider a variety of vintage capital models of a firm's choice of technology under uncertainty in the presence of adjustment costs and technology-specific learning. ...

  2. Estimating Building Simulation Parameters via Bayesian Structure Learning

    SciTech Connect (OSTI)

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

    2013-01-01T23:59:59.000Z

    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.

  3. Information Technology Security Training Requirements Appendix A --Learning Continuum A-1

    E-Print Network [OSTI]

    Information Technology Security Training Requirements APPENDIX A Appendix A -- Learning Continuum A-1 #12;Information Technology Security Training Requirements Appendix A -- Learning Continuum A-2 #12;Information Technology Security Training Requirements APPENDIX A -- LEARNING CONTINUUM T R A I N I N G E D U

  4. Visual Speech in Technology-Enhanced Learning Department of Computer Science

    E-Print Network [OSTI]

    Maddock, Steve

    Visual Speech in Technology-Enhanced Learning Priya Dey Department of Computer Science University- enhanced learning. This work applies talking heads in a speech tutoring application for teaching English of visual speech in technology-enhanced learning. User trials explored the efficacy of the software

  5. Parameter-insensitive kernel in extreme learning for non-linear support vector regression

    E-Print Network [OSTI]

    Verleysen, Michel

    Parameter-insensitive kernel in extreme learning for non-linear support vector regression Beno for regression which uses the e-sensitive loss and produces sparse models. However, non-linear SVRs are difficult.g. [2­4]). Used in conjunction with kernels, SVRs are powerful non-linear models for regression which

  6. Engaging Faculty With Rethinking Learning and Teaching With Technology

    E-Print Network [OSTI]

    Szmolyan, Peter

    for student learning'. (within the lecture as well as out of class ) Shift the focus from `how do I teach this student learning - educational implications ­ `learning time' / `learning space' During this presentation Online or face to face ? #12;"Learning is not a spectator sport. Students do not learn much just

  7. Digital Technology for Conviviality: Making the Most of Students' Energy and Imagination in Learning Environments

    E-Print Network [OSTI]

    Digital Technology for Conviviality: Making the Most of Students' Energy and Imagination;#12;Digital Technology for Conviviality: Making the Most of Students' Energy and Imagination in Learning the pattern in the developmental process of learning activities, which is an area in the constructionist

  8. From learning to e-learning: mining educational data. A novel, data-driven approach to evaluate individual differences in students’ interaction with learning technology 

    E-Print Network [OSTI]

    Vigentini, Lorenzo

    2010-11-25T23:59:59.000Z

    In recent years, learning technology has become a very important addition to the toolkit of instructors at any level of education and training. Not only offered as a substitute in distance education, but often complementing ...

  9. Bicriteria Optimization of Technological Parameters in Compact Algorithm for Designing Soft Magnetic Composites

    E-Print Network [OSTI]

    Sokalski, Krzysztof; ?lusarek, Barbara

    2015-01-01T23:59:59.000Z

    The paper presents a novel algorithm for designing technological parameters by which one optimize power losses and induction in SMC. The advantage of the presented algorithm consists in the bicriteria optimization: minimization of losses and maximization of induction. The crucial role in the presented algotithm plays scaling.

  10. Bicriteria Optimization of Technological Parameters in Compact Algorithm for Designing Soft Magnetic Composites

    E-Print Network [OSTI]

    Krzysztof Sokalski; Bartosz Jankowski; Barbara ?lusarek

    2015-03-11T23:59:59.000Z

    The paper presents a novel algorithm for designing technological parameters by which one optimize power losses and induction in SMC. The advantage of the presented algorithm consists in the bicriteria optimization: minimization of losses and maximization of induction. The crucial role in the presented algotithm plays scaling.

  11. Dependence between Information-Communication Technologies and Some Parameters of Globalization

    E-Print Network [OSTI]

    Borissova, Daniela

    ] introduces a globalization index for 60 countries with a developed, developing or undeveloped economy4 Dependence between Information-Communication Technologies and Some Parameters of Globalization and economy. In different times and in different regions separate countries and groups of countries took great

  12. V/. -NEW TECHNOLOGIES AND RELATED TOPICS. SCRATCHING AND GRINDING PARAMETERS OF VARIOUS FERRITES

    E-Print Network [OSTI]

    Boyer, Edmond

    V/. - NEW TECHNOLOGIES AND RELATED TOPICS. SCRATCHING AND GRINDING PARAMETERS OF VARIOUS FERRITES AB. - On dkrit des experiences effectuks sur un grand nombre de ferrites cubiques et hexagonaux : rayage par une durete Vickers. Dans le cas des experiences de meulage, l'energie specifique pour un ferrite hexagonal

  13. Maryland Technology Enterprise Institute A. James Clark School of Engineering Learn. Connect. Get Inspired.

    E-Print Network [OSTI]

    Milchberg, Howard

    Maryland Technology Enterprise Institute · A. James Clark School of Engineering Learn. Connect. Get Inspired. Presented by Mtech University of Maryland Technology Start-Up Boot Camp OCTOBER 14, 2011 - UNIVERSITY OF MARYLAND, COLLEGE PARK #12;University of Maryland Technology Startup Boot Camp www

  14. Learning-by-Doing and the Choice of Technology: The Role of Patience

    E-Print Network [OSTI]

    Karp, Larry S.

    technology and under the next best alternative, i.e. on the opportunity cost of adoption. The opportunity. An agent who is less 1 #12;familiar with the existing technology has a lower opportunity cost of adoptingLearning-by-Doing and the Choice of Technology: The Role of Patience Larry Karp and In Ho Lee

  15. A comparative analysis of technological learning systems in emerging rotorcraft companies

    E-Print Network [OSTI]

    Gan, Thiam Soon

    2011-01-01T23:59:59.000Z

    The aim of this research is to understand how emerging rotorcraft companies in various countries accomplished technological learning over the last sixty years. Owing to its unique products and growing market demand, ...

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

    E-Print Network [OSTI]

    Yeh, Sonia; Rubin, Edward S

    2007-01-01T23:59:59.000Z

    cost of U.S. fossil–steam power plants from 1981 to 1997curve: the case of steam-electric power plant design andpower plant; Learning-by-doing; Technological change; Steam

  17. Parallel Computer Technology -A Solution for Automobiles? How car engineers can learn from parallel computing

    E-Print Network [OSTI]

    Zachmann, Gabriel

    Parallel Computer Technology - A Solution for Automobiles? How car engineers can learn from be improved by the adoption of well known parallel computing technologies. II. HISTORY OF CAR ELECTRONICS electronics in the past. The following Table I shows the history of the car- electronics since 1950 in note

  18. Natural Gas Vehicle Webinar: Technology, Best Strategies, and Lessons Learned

    Broader source: Energy.gov [DOE]

    This Clean Cities program webinar elaborates first on successful past technology choices and then suggests future technological pathways that can be taken for the United States to expand its use of...

  19. Modeling learning when alternative technologies are learning & resource constrained : cases In semiconductor & advanced automotive manufacturing

    E-Print Network [OSTI]

    Rand-Nash, Thomas

    2012-01-01T23:59:59.000Z

    When making technology choice decisions, firms must consider technology costs over time. In many industries, technology costs have been shown to decrease over time due to (a) improvements in production efficiency and the ...

  20. Energy Systems Technology - A Development in Experiential Learning

    E-Print Network [OSTI]

    Tumber, A. J.

    1980-01-01T23:59:59.000Z

    Energy Systems Technology is a three-year diploma program which started in September 1977 and will produce its first graduate technologists in June 1980. The program of studies is multi-disciplinary and includes mechanical and electrical subjects...

  1. Technology Innovation (Hardware, Software, and What You Can Learn from Startup

    E-Print Network [OSTI]

    Jacob, Bruce

    Technology Innovation (Hardware, Software, and What You Can Learn from Startup Companies) Bruce Principles 1 #12;ABSTRACT Innovation is highly sought after: it is extremely valuable, extremely rare, and extremely difficult to do. An executive desiring an innovative company should first realize that innovation

  2. Open platform to model and capture experimental data in Technology enhanced learning systems.

    E-Print Network [OSTI]

    Boyer, Edmond

    Open platform to model and capture experimental data in Technology enhanced learning systems. Denis and implementation of an open platform to collect, save and share experimental data drawn from the interaction part of the project. An analysis of contemporary platforms shows the lack of solution for a repository

  3. 85R.A. Calvo and S.K. D'Mello (eds.), New Perspectives on Affect and Learning Technologies, Explorations in the Learning Sciences, Instructional Systems and Performance Technologies 3,

    E-Print Network [OSTI]

    Young, R. Michael

    85R.A. Calvo and S.K. D'Mello (eds.), New Perspectives on Affect and Learning Technologies to which he or she is motivated to continue with the learning process (Kort, Reilly, & Picard, 2001; Picard work (Arroyo, Woolf, Royer, & Tai, 2009; Chaffar & Frasson, 2004; D'Mello et al., 2008; Forbes- Riley

  4. A summary report on the search for current technologies and developers to develop depth profiling/physical parameter end effectors

    SciTech Connect (OSTI)

    Nguyen, Q.H.

    1994-09-12T23:59:59.000Z

    This report documents the search strategies and results for available technologies and developers to develop tank waste depth profiling/physical parameter sensors. Sources searched include worldwide research reports, technical papers, journals, private industries, and work at Westinghouse Hanford Company (WHC) at Richland site. Tank waste physical parameters of interest are: abrasiveness, compressive strength, corrosiveness, density, pH, particle size/shape, porosity, radiation, settling velocity, shear strength, shear wave velocity, tensile strength, temperature, viscosity, and viscoelasticity. A list of related articles or sources for each physical parameters is provided.

  5. Scanlon, E., Jones, A. & Waycott, J. (2005). Mobile technologies: prospects for their use in learning in informal science settings.

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    2005-01-01T23:59:59.000Z

    in learning in informal science settings. Journal of Interactive Media in Education 2005(25). [jime December 2005 ISSN: 1365-893X Mobile technologies: prospects for their use in learning in informal science the possibilities related to science learners and in particular focus on science learners in informal settings

  6. Department of Engineering Technology Technology Education

    E-Print Network [OSTI]

    Bieber, Michael

    Department of Engineering Technology Technology Education A Teacher Education Program New Jersey Institute of Technology #12;WHAT WILL YOU LEARN? Technology teachers teach problem-based learning utilizing math, science and technology principles. Technological studies involve students: · Designing

  7. The occupational endorsement certification in welding and materials technology is designed for beginning students who want to learn to

    E-Print Network [OSTI]

    Ickert-Bond, Steffi

    WELDING & MATERIALS TECHNOLOGY The occupational endorsement certification in welding and materials technology is designed for beginning students who want to learn to cut and weld, as well as students seeking more advanced courses who would like to take their welding skills further. Our program emphasizes

  8. RoBallet: Exploring Learning through Expression in the Arts through Constructing in a Technologically Immersive Environment

    E-Print Network [OSTI]

    in a Technologically Immersive Environment David Cavallo, Arnan Sipitakiat, Anindita Basu, Shaundra Bryant, LarissaBallet environment as an interesting area for learning in a variety of domains through augmenting performing arts with technology. In the RoBallet environment children choreograph dance movements while wearing sensors

  9. Eliciting Public Attitudes Regarding Bioremediation Cleanup Technologies: Lessons Learned from a Consensus Workshop in Idaho

    SciTech Connect (OSTI)

    Denise Lach, Principle Investigator; Stephanie Sanford, Co-P.I.

    2003-03-01T23:59:59.000Z

    During the summer of 2002, we developed and implemented a ''consensus workshop'' with Idaho citizens to elicit their concerns and issues regarding the use of bioremediation as a cleanup technology for radioactive nuclides and heavy metals at Department of Energy (DOE) sites. The consensus workshop is a derivation of a technology assessment method designed to ensure dialogue between experts and lay people. It has its origins in the United States in the form of ''consensus development conferences'' used by the National Institutes of Health (NIH) to elicit professional knowledge and concerns about new medical treatments. Over the last 25 years, NIH has conducted over 100 consensus development conferences. (Jorgensen 1995). The consensus conference is grounded in the idea that technology assessment and policy needs to be socially negotiated among many different stakeholders and groups rather than narrowly defined by a group of experts. To successfully implement new technology, the public requires access to information that addresses a full complement of issues including understanding the organization proposing the technology. The consensus conference method creates an informed dialogue, making technology understandable to the general public and sets it within perspectives and priorities that may differ radically from those of the expert community. While specific outcomes differ depending on the overall context of a conference, one expected outcome is that citizen panel members develop greater knowledge of the technology during the conference process and, sometimes, the entire panel experiences a change in attitude toward the technology and/or the organization proposing its use (Kluver 1995). The purpose of this research project was to explore the efficacy of the consensus conference model as a way to elicit the input of the general public about bioremediation of radionuclides and heavy metals at Department of Energy sites. Objectives of the research included: (1) defining the range of concerns of the public toward different bioremediation strategies and long-term stewardship; (2) creating materials and delivery methods that address bioremediation issues; and (3) assessing the effectiveness of the consensus workshop in identifying concerns about bioremediation and involving the public in a dialogue about their use. After a brief description of the Idaho workshop, we discuss the range of concerns articulated by the participants about bioremediation, discuss the materials and delivery methods used to communicate information about bioremediation, and assess the effectiveness of the consensus workshop. In summary we found that panel members in general: understood complex technical issues, especially when given enough time in a facilitated discussion with experts; are generally accepting of in situ bioremediation, but concerned about costs, safety, and effectiveness of the technology; are concerned equally about technology and decision processes; and liked the consensus workshop approach to learning about bioremediation.

  10. Developing thoughtful world explorers : incorporating technology and active learning into a fifth-grade geography classroom

    E-Print Network [OSTI]

    Hales, Tyler James

    2010-01-01T23:59:59.000Z

    based learning, in which students are focused on solvingfocused on creating student-centered rather than teacher-centered learning

  11. Centre for Advanced Learning Technologies (CALT) European Institute of Business Administration (INSEAD)

    E-Print Network [OSTI]

    Corran, Ruth

    of learning such as e-Learning communities and experiential learning (business simulations) rather than just: Intelligent Learning Agents (InCAs) and Advanced Simulations of Organisational Dynamics. Intelligent Learning- oriented (L- InCA). Advanced Simulations of Organisational Dynamics are experiential learning systems

  12. Proposals for Technology Innovation Projects Student technology fees are intended to enhance student learning and the student

    E-Print Network [OSTI]

    Farritor, Shane

    Proposals for Technology Innovation Projects Student technology fees scale if effective. Timeline Applications for Technology Innovation Projects innovative ideas about using technology? 2) Is the project designed to be led

  13. Waiting to learn a new use of technology: motivation source and its impact on anticipated effect, time pressure and subjective norms 

    E-Print Network [OSTI]

    Loraas, Tina Marie

    2005-11-01T23:59:59.000Z

    This research investigated the decision process surrounding the self-regulated learning of new uses of existing technology. With firms investing up to 50% of their capital budgets on information technology (in excess of ...

  14. R&D ERL: Beam dynamics, parameters, and physics to be learned

    SciTech Connect (OSTI)

    Kayran, D.

    2010-02-01T23:59:59.000Z

    The R&D ERL facility at BNL aims to demonstrate CW operation of ERL with average beam current in the range of 0.1-1 ampere, combined with very high efficiency of energy recovery. The ERL is being installed in one of the spacious bays in Bldg. 912 of the RHIC/AGS complex (Fig. 1). The bay is equipped with an overhead crane. The facility has a control room, two service rooms and a shielded ERL cave. The control room is located outside of the bay in a separate building. The single story house is used for a high voltage power supply for 1 MW klystron. The two-story unit houses a laser room, the CW 1 MW klystron with its accessories, most of the power supplies and electronics. The ERL R&D program has been started by the Collider Accelerator Department (C-AD) at BNL as an important stepping-stone for 10-fold increase of the luminosity of the Relativistic Heavy Ion Collider (RHIC) using relativistic electron cooling of gold ion beams with energy of 100 GeV per nucleon. Furthermore, the ERL R&D program extends toward a possibility of using 10-20 GeV ERL for future electron-hadron/heavy ion collider, MeRHIC/eRHIC. These projects are the driving force behind the development of ampere-class ERL technology, which will find many applications including light sources and FELs. The intensive R&D program geared towards the construction of the prototype ERL is under way: from development of high efficiency photo-cathodes to the development of new merging system compatible with emittance compensation.

  15. Adaptive and context-aware scenarios for technology-enhanced learning system based on a didactical theory

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Adaptive and context-aware scenarios for technology- enhanced learning system based on a didactical-aware model of scenario based on a didactical theory and closely related to a domain model, a learner model and applications"; ii) the theory in didactic anthropology of knowledge of Chevallard [1]; iii) a hierarchical task

  16. The Effect of Student Learning Styles on the Learning Gains Achieved When Interactive Simulations Are Coupled with Real-Time Formative Assessment via Pen-Enabled Mobile Technology

    E-Print Network [OSTI]

    Kowalski, F V

    2013-01-01T23:59:59.000Z

    This paper describes results from a project in an undergraduate engineering physics course that coupled classroom use of interactive computer simulations with the collection of real-time formative assessment using pen-enabled mobile technology. Interactive simulations (free or textbook-based) are widely used across the undergraduate science and engineering curriculia to help actively engaged students increase their understanding of abstract concepts or phenomena which are not directly or easily observable. However, there are indications in the literature that we do not yet know the pedagogical best practices associated with their use to maximize learning. This project couples student use of interactive simulations with the gathering of real-time formative assessment via pen-enabled mobile technology (in this case, Tablet PCs). The research question addressed in this paper is: are learning gains achieved with this coupled model greater for certain types of learners in undergraduate STEM classrooms? To answer t...

  17. Language technologies in speech-enabled second language learning games : from reading to dialogue

    E-Print Network [OSTI]

    Xu, Yushi, Ph. D. Massachusetts Institute of Technology

    2012-01-01T23:59:59.000Z

    Second language learning has become an important societal need over the past decades. Given that the number of language teachers is far below demand, computer-aided language learning software is becoming a promising ...

  18. Lessons Learned from the Photovoltaic Manufacturing Technology/PV Manufacturing R&D and Thin Film PV Partnership Projects

    SciTech Connect (OSTI)

    Margolis, R.; Mitchell, R.; Zweibel, K.

    2006-09-01T23:59:59.000Z

    As the U.S. Department of Energy's (DOE's) Solar Energy Technologies Program initiates new cost-shared solar energy R&D under the Solar America Initiative (SAI), it is useful to analyze the experience gained from cost-shared R&D projects that have been funded through the program to date. This report summarizes lessons learned from two DOE-sponsored photovoltaic (PV) projects: the Photovoltaic Manufacturing Technology/PV Manufacturing R&D (PVMaT/PVMR&D) project and the Thin-Film PV Partnership project. During the past 10-15 years, these two projects have invested roughly $330 million of government resources in cost-shared R&D and leveraged another $190 million in private-sector PV R&D investments. Following a description of key findings and brief descriptions of the PVMaT/PVMR&D and Thin-Film PV Partnership projects, this report presents lessons learned from the projects.

  19. Case Studies from the Climate Technology Partnership: Landfill Gas Projects in South Korea and Lessons Learned

    SciTech Connect (OSTI)

    Larney, C.; Heil, M.; Ha, G. A.

    2006-12-01T23:59:59.000Z

    This paper examines landfill gas projects in South Korea. Two case studies provide concrete examples of lessons learned and offer practical guidance for future projects.

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

    E-Print Network [OSTI]

    Gumerman, Etan; Marnay, Chris

    2004-01-01T23:59:59.000Z

    Assumptions to the Annual Energy Outlook 2001. Report#:DOE/ENDOGENOUS LEARNING IN THE ANNUAL ENERGY OUTLOOK REFERENCEDepartment of Energy’s Annual Energy Outlook (AEO), which is

  1. Learning or Lock-in: Optimal Technology Policies to Support Mitigation$

    E-Print Network [OSTI]

    Stock, Manfred

    sector (Nordhaus, 2009). In particular, there is concern that the social costs of technology to possible technology lock-ins? (ii) Is it likely for the social costs of innovation externalities to exceed the social costs of technology-specific instruments? (iii) In how far do policies with stronger technology

  2. Solar capabilities : promoting, technological learning in South Africa's photovoltaic supply industry

    E-Print Network [OSTI]

    Wright, Janelle N., 1978-

    2003-01-01T23:59:59.000Z

    I explore the mechanisms through which technological capabilities have been built in the market for photovoltaic (PV) module and balance of system (BOS) manufacture in South Africa. Drawing on the literature on technology ...

  3. Building communities for design education : using telecommunication technology for remote collaborative learning

    E-Print Network [OSTI]

    Yee, Susan, 1966-

    2001-01-01T23:59:59.000Z

    The design studio, as both a learning environment and a social place, is one of the major components of architectural education. Traditionally, the studio has been considered a place for individual design work and one-on-one ...

  4. A cost modeling approach using learning curves to study the evolution of technology

    E-Print Network [OSTI]

    Kar, Ashish M. (Ashish Mohan)

    2007-01-01T23:59:59.000Z

    The present work looks into the concept of learning curves to decipher the underlying mechanism in cost evolution. The concept is not new and has been used since last seven decades to understand cost walk down in various ...

  5. RFID implementations : business process and technology lessons learned, recommendations and best practices for new adopters

    E-Print Network [OSTI]

    Chan, Rida

    2006-01-01T23:59:59.000Z

    This thesis focuses on documenting learnings from a RFID data exchange pilot in the fast moving consumer goods industry. The pilot we studied is a collaborative effort between two of the largest retailers in the world and ...

  6. Robotic technology to aid and assess recovery and learning in stroke patients

    E-Print Network [OSTI]

    Palazzolo, Jerome J

    2005-01-01T23:59:59.000Z

    Each year, about 700,000 people in the United States have a stroke, making it a leading cause of serious, long-term disability. Modalities of therapy often assume the processes underlying motor recovery and motor learning ...

  7. The ubiquitous problem of learning system parameters for dissipative two-level quantum systems: Fourier analysis versus Bayesian estimation

    E-Print Network [OSTI]

    Sophie Schirmer; Frank Langbein

    2014-12-13T23:59:59.000Z

    We compare the accuracy, precision and reliability of different methods for estimating key system parameters for two-level systems subject to Hamiltonian evolution and decoherence. It is demonstrated that the use of Bayesian modelling and maximum likelihood estimation is superior to common techniques based on Fourier analysis. Even for simple two-parameter estimation problems, the Bayesian approach yields higher accuracy and precision for the parameter estimates obtained. It requires less data, is more flexible in dealing with different model systems, can deal better with uncertainty in initial conditions and measurements, and enables adaptive refinement of the estimates. The comparison results shows that this holds for measurements of large ensembles of spins and atoms limited by Gaussian noise as well as projection noise limited data from repeated single-shot measurements of a single quantum device.

  8. Information Technology, Organizational Learning, and the Market Value of the Firm

    E-Print Network [OSTI]

    Hunter, Starling David, III

    2003-08-22T23:59:59.000Z

    This paper compares the mean and variance of cumulative abnormal returns following announcements of two types of information technology (IT) investments: those which ...

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

    E-Print Network [OSTI]

    Yeh, Sonia; Rubin, Edward S.

    2007-01-01T23:59:59.000Z

    Advances in boiler and steam turbine technology, materialschange; Steam plant; Steam turbine; Electricity 1.housed ?ve 10,000 kW steam turbines and typically required

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

    E-Print Network [OSTI]

    Yeh, Sonia; Rubin, Edward S

    2007-01-01T23:59:59.000Z

    Advances in boiler and steam turbine technology, materialshoused ?ve 10,000 kW steam turbines and typically requiredchange; Steam plant; Steam turbine; Electricity 1.

  11. TECHNOLOGY AS A TEACHING AND LEARNING TOOL: ASSESSING STUDENT UNDERSTANDING IN THE INTRODUCTORY PHYSICS LAB

    E-Print Network [OSTI]

    Larkin, Teresa L.

    within many domains of science, mathematics, engineering, and technology (SMET) education. In this paper to introductory physics students. The laboratory activity makes use of a collision apparatus and computer in a wide range of areas in science, mathematics, engineering, and technology education. I. Introduction

  12. Microsoft Technology Centers Visit www.microsoft.com/mtc to learn more!

    E-Print Network [OSTI]

    Narasayya, Vivek

    ensure that you benefit from development best practices. The MTCs marshal their premier resources across your needs. The day includes mutual discovery, tailored product and technology drill-downs, and expert on preferred practices, and risk analysis to chief technology officers, architects, and senior members of your

  13. Two different approaches to enhance learning in geological field trips by the use of modern technology

    E-Print Network [OSTI]

    Fossen, Haakon

    with a digital camera and/or a digital camcorder, it is possible to enhance the learning process associated by other means. In the other approach, the students were provided with digital camera and a portable PC of sedimentary and structural features, as well as petrophysical and diagenetic characteristics and processes

  14. Technology to enhance learning Throughout history, presumably starting with charcoal. But

    E-Print Network [OSTI]

    Polz, Martin

    learning and collaboration #12; 11 Great temptation for instructors and researchers is to develop. Applied research and development: Support for continuing improvement in education. Daedalus, Fall 1998, p of Engineering MIT Laboratory for Computer Science November 9, 1998 2 Education spending U.S. 1995 Total: $558

  15. BT Technology Journal Vol 22 No 4 October 2004 253 Affective learning --a manifesto

    E-Print Network [OSTI]

    depersonalised drill and practice in basic skills gave way to the idea of `intelligent tutors', the theoretical dramatic differences, and promising even greater changes, to the practice of learning. Computers have is at best in its infancy. Developments in the past decade have both accentuated the gap in theoretical

  16. The Use of DOE Technologies at The World Trade Center Incident: Lessons Learned

    SciTech Connect (OSTI)

    McCabe, B.; Kovach, J.; Carpenter, C.; Blair, D.

    2003-02-25T23:59:59.000Z

    In response to the attack of the World Trade Center (WTC) on September 11, 2001, the International Union of Operating Engineers (IUOE) National Hazmat Program (OENHP) assembled and deployed a HAZMAT Emergency Management Team (Team) to the disaster site (Site). The response team consisted of a Certified Industrial Hygienist and a rotating team of industrial hygienists, safety professionals, and certified HAZMAT instructors. Through research funded by the Department of Energy (DOE) Office of Environmental Management (EM) and managed by the National Energy Technology Laboratory (NETL), the IUOE conducted human factors assessments on baseline and innovative technologies during real-world conditions and served as an advocate at the WTC disaster site to identify opportunities for the use and evaluation of DOE technologies. From this work, it is clear that opportunities exist for more DOE technologies to be made readily available for use in future emergencies.

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

    E-Print Network [OSTI]

    Yeh, Sonia; Rubin, Edward S.

    2007-01-01T23:59:59.000Z

    change; Steam plant; Steam turbine; Electricity 1.housed ?ve 10,000 kW steam turbines and typically requiredAdvances in boiler and steam turbine technology, materials

  18. Learning curves and engineering assessment of emerging energy technologies: onshore wind 

    E-Print Network [OSTI]

    Mukora, Audrey Etheline

    2014-06-30T23:59:59.000Z

    Sustainable energy systems require deployment of new technologies to help tackle the challenges of climate change and ensuring energy supplies. Future sources of energy are less economically competitive than conventional ...

  19. Closing the loop : improving technology transfer by learning from the past

    E-Print Network [OSTI]

    Witinski, Paul (Paul F.)

    2010-01-01T23:59:59.000Z

    Technology transfer is a significant challenge within the highly regulated pharmaceutical industry. While much focus is put on the logistics and strategy of the process, less attention has been paid to how to change the ...

  20. Technological learning and the evolution of the Indian pharmaceutical and biopharmaceutical sectors

    E-Print Network [OSTI]

    Srinivas, Smita

    2004-01-01T23:59:59.000Z

    The Indian pharmaceutical and biopharmaceutical sectors have been characterised by three features considered analogous to technological stagnation: low R&D investments, "copying" on-patent drugs (legal in India if a novel ...

  1. Graduates of the Counseling and Career Development Program at Colorado State University receive a world-class education through relevant, interpersonal, and technology-rich learning

    E-Print Network [OSTI]

    a world-class education through relevant, interpersonal, and technology-rich learning experiences. The CCD Counselors Exam, and a 100% pass rate on the Professional Licensing Exam for Colorado Educators. Over graduating from the career counseling track are in higher education institutions (2 & 4 year) in career

  2. Technology

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening a solidSynthesis of 2D AlloysTrails NewsTechnologyTechnology A

  3. Technology

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening a solidSynthesis of 2D AlloysTrails NewsTechnologyTechnology

  4. Technology Integration Overview

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

    Identify chronic vehicle or infrastructure field problems * Incident investigations (technology failures) * Capture lessons learned and develop best practices Technical & Problem...

  5. Waiting to learn a new use of technology: motivation source and its impact on anticipated effect, time pressure and subjective norms

    E-Print Network [OSTI]

    Loraas, Tina Marie

    2005-11-01T23:59:59.000Z

    WAITING TO LEARN A NEW USE OF TECHNOLOGY: MOTIVATION SOURCE AND ITS IMPACT ON ANTICIPATED AFFECT, TIME PRESSURE AND SUBJECTIVE NORMS A Dissertation by TINA MARIE LORAAS Submitted to the Office of Graduate Studies of Texas A... PRESSURE AND SUBJECTIVE NORMS A Dissertation by TINA MARIE LORAAS Submitted to Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Approved as to style and content by...

  6. The Interprofessional Project Course at Illinois Institute of Technology One Distinctive Experience Three Choices of Learning Platforms

    E-Print Network [OSTI]

    Heller, Barbara

    ­ Three Choices of Learning Platforms The multidisciplinary IPRO team project course experience is offered via three platforms that provide students a variety of choices that tap their passion and disciplinary approaches to accommodate their interests. All three IPRO platforms are designed to achieve the same learning

  7. To be presented at The International Workshop on New Technologies for Collaborative Learning, Hyogo, Japan, November, 2000 A Computational Tool for Lifelong Learning

    E-Print Network [OSTI]

    Nakakoji, Kumiyo

    , Japan, November, 2000 1 A Computational Tool for Lifelong Learning Through Experiencing Breakdowns and Control Group, TOREST, JST 2 Graduate School of Information Science, Nara Institute of Science a breakdown, and (2) asking for information relevant to the breakdown situation. Knowledge-based critiquing

  8. IIT SCHOOL OF APPLIED TECHNOLOGY

    E-Print Network [OSTI]

    Heller, Barbara

    INDUSTRIAL TECHNOLOGY AND MANAGEMENT IIT SCHOOL OF APPLIED TECHNOLOGY PREPARING SKILLED INDIVIDUALS, INDUSTRIAL FACILITIES, SUPPLY CHAIN MANAGEMENT, SUSTAINABILITY AND MANUFACTURING TECHNOLOGY. #12;BE ONE to assess, implement, and utilize current technologies, and to learn how to manage industrial operations

  9. Vehicle Technologies Office: Information Resources

    Broader source: Energy.gov [DOE]

    From here you can access additional information on advanced transportation technologies; view programmatic publications and technical information; learn the basics of hybrid vehicle technology;...

  10. Technology Commercialization Showcase - EERE Commercialization...

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

    the business community. If no one learns of a technology's promise, then that technology will indefinitely sit on the lab shelf. The Solution: The Department Of Energy...

  11. Natural Gas Vehicle Webinar: Technology, Best Strategies, and...

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

    Natural Gas Vehicle Webinar: Technology, Best Strategies, and Lessons Learned Natural Gas Vehicle Webinar: Technology, Best Strategies, and Lessons Learned November 20, 2014...

  12. adaptive parameter estimation: Topics by E-print Network

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

    Tokamak Heat Computer Technologies and Information Sciences Websites Summary: . Keywords: Thermonuclear fusion, distributed parameter systems, input state and parameter estimation,...

  13. 2006-1507: APPLYING K-8 SCIENCE AND TECHNOLOGY CURRICULA TO ENGINEERING EDUCATION: WHAT CAN BE LEARNED FROM THE

    E-Print Network [OSTI]

    Institute of Technology Dava Newman is Professor of Aeronautics and Astronautics and Engineering SystemsVicar Faculty Fellow. Kristen Bethke, Kristen Bethke is a doctoral candidate in aeronautics and astronautics

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

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

    E-Print Network [OSTI]

    Shahriar, Selim

    LEARNING AND ORGANIZATIONAL CHANGE (LOC) CURRICULUM The Learning and Organizational Change change through learning and organizational design. The assessment, design and implementation of knowledge-based systems, involving people, technology and organizational structures and culture are a particular strength

  16. applying machine learning: Topics by E-print Network

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

    K. Saul 4 Applying Machine Learning to Cognitive Modeling for Cognitive Tutors Computer Technologies and Information Sciences Websites Summary: Applying Machine Learning to...

  17. Information Technology Services (ITS) Information Technology Services (ITS) ensures that faculty, students, and staff have the

    E-Print Network [OSTI]

    Maroncelli, Mark

    Information Technology Services (ITS) Information Technology Services (ITS) ensures that faculty, students, and staff have the information technology tools and infrastructure necessary to carry out maximum use of the appropriate information technology tools in their learning, teaching, research

  18. Re-engineering of collaborative e-learning systems: evaluation of system, collaboration

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    proposed an extension of IEEE-LTSA (Learning Technology Systems Architecture) meta-architecture model [2

  19. Lessons Learned

    E-Print Network [OSTI]

    DiMento, Joseph F.C.

    2000-01-01T23:59:59.000Z

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

  20. Continual Learning

    Broader source: Energy.gov [DOE]

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

  1. The One University digital initiative embraces digital technologies to create an even more dynamic OU experience. It promotes dynamic learning experiences, enhances services to

    E-Print Network [OSTI]

    Oklahoma, University of

    initiative. A collaboration between Information Technology, Web Communications, and University Libraries, One" digital interactive word wall--a feature intended to highlight the ways One University is using technology campus technology retailer. An Apple Authorized Campus Store, One University will sell a wide range

  2. AGU, December 2004 Information Technology in Science (ITS)

    E-Print Network [OSTI]

    Herbert, Bruce

    1 AGU, December 2004 Information Technology in Science (ITS) Center for Teaching and Learning Loving1,2, and Janie Schielack2 1Teaching, Learning and Culture, 5Information Technology in Science (ITSImpact of information technology on learning and teaching science and mathematicsscience and mathematics Participants

  3. Lessons-Learned from D and D Activities at the Five Gaseous Diffusion Buildings (K-25, K- 27, K-29, K-31 and K-33) East Tennessee Technology Park, Oak Ridge, TN - 13574

    SciTech Connect (OSTI)

    Kopotic, James D. [United States Department of Energy, Oak Ridge Office, P.O. Box 2001, Oak Ridge, TN 37831 (United States)] [United States Department of Energy, Oak Ridge Office, P.O. Box 2001, Oak Ridge, TN 37831 (United States); Ferri, Mark S.; Buttram, Claude [URS - CH2M Oak Ridge LLC, East Tennessee Technology Park, P. O. Box 4699, Oak Ridge, TN 37831 (United States)] [URS - CH2M Oak Ridge LLC, East Tennessee Technology Park, P. O. Box 4699, Oak Ridge, TN 37831 (United States)

    2013-07-01T23:59:59.000Z

    The East Tennessee Technology Park (ETTP) is the site of five former gaseous diffusion plant (GDP) process buildings that were used to enrich uranium from 1945 to 1985. The process equipment in the original two buildings (K-25 and K-27) was used for the production of highly enriched uranium (HEU), while that in the three later buildings (K-29, K-31 and K-33) produced low enriched uranium (LEU). Equipment was contaminated primarily with uranium and to a lesser extent technetium (Tc). Decommissioning of the GDP process buildings has presented several unique challenges and produced many lessons-learned. Among these is the importance of good, up-front characterization in developing the best demolition approach. Also, chemical cleaning of process gas equipment and piping (PGE) prior to shutdown should be considered to minimize the amount of hold-up material that must be removed by demolition crews. Another lesson learned is to maintain shutdown buildings in a dry state to minimize structural degradation which can significantly complicate characterization, deactivation and demolition efforts. Perhaps the most important lesson learned is that decommissioning GDP process buildings is first and foremost a waste logistics challenge. Innovative solutions are required to effectively manage the sheer volume of waste generated from decontamination and demolition (D and D) of these enormous facilities. Finally, close coordination with Security is mandatory to effectively manage Special Nuclear Material (SNM) and classified equipment issues. (authors)

  4. Implementing Learning Design to support web-based learning

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    , Walton Hall, Milton Keynes, MK7 6AA. UK. ** Educational Technology Expertise Centre (OTEC), Open Expertise Centre (OTEC) at the Open University of the Netherlands (OUNL), who produced a Learning Design

  5. Team Leader, Learning for Livelihoods Commonwealth of Learning

    E-Print Network [OSTI]

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

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

  6. access e-learning program: Topics by E-print Network

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

    14. Mrz Szmolyan, Peter 64 International Conference on e-Learning and the Knowledge Society -e-Learning'09 Virtual University 2.0 Computer Technologies and Information...

  7. Social Learning in Social Networks

    E-Print Network [OSTI]

    Lamberson, PJ

    This paper analyzes a model of social learning in a social network. Agents decide whether or not to adopt a new technology with unknown payoffs based on their prior beliefs and the experiences of their neighbors in the ...

  8. Kinematic Motor Learning Wolfram Schenck

    E-Print Network [OSTI]

    Moeller, Ralf

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

  9. ENGINEERING TECHNOLOGY Engineering Technology

    E-Print Network [OSTI]

    ENGINEERING TECHNOLOGY Engineering Technology Program The Bachelor of Science in Engineering Technology (BSET) is a hands-on program based upon engineering technology fundamentals, engineering for employment or further education. The focus is on current engineering technology issues and applications used

  10. Relationship of inquiry-based learning elements on changes in middle school students' science, technology, engineering, and mathematics (stem) beliefs and interests

    E-Print Network [OSTI]

    Degenhart, Heather Shannon

    2009-05-15T23:59:59.000Z

    The purpose of this study was to develop a model describing the relationship of inquiry-based teaching elements on middle school students’ science, technology, engineering, and mathematics (STEM) interests and belief changes. The study utilized...

  11. 222 SDSU General Catalog 2013-2014 Educational Technology

    E-Print Network [OSTI]

    Gallo, Linda C.

    222 SDSU General Catalog 2013-2014 Educational Technology In the College of Education OFFICE: North degree in education. Concentration in educational technology. Specialization in educational computing. Specialization in workforce education and lifelong learning. Minor in educational technology. Certificate

  12. Bringing Tabletop Technologies to Kindergarten Javier Marco, Eva Cerezo, Sandra

    E-Print Network [OSTI]

    Baldassarri, Sandra

    Bringing Tabletop Technologies to Kindergarten Children Javier Marco, Eva Cerezo, Sandra of Central Lancashire, Preston, UK {emazzone, jcread}@uclan.ac.uk ABSTRACT Taking computer technology away possibilities that tangible interaction and tabletop technologies offer for manipulative learning. After

  13. Distribution ICategory: General Reactor Technology

    E-Print Network [OSTI]

    Shlyakhter, Ilya

    --- Distribution ICategory: General Reactor Technology (UC-520) ANl-92/23 AR(;ONNE NATIONAL, progressively by Huygens, Maxwell and Roentgen, mankind has learned to observe it, measure it, control it

  14. Lessons Learned from the Photovoltaic Manufacturing Technology/PV Manufacturing R&D and Thin-Film PV Partnership Projects

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn12electron 9 5 -ofLearningLensless4Alternative

  15. University of Washington / Learning Space Assessment 1.0 Executive Summary

    E-Print Network [OSTI]

    Van Volkenburgh, Elizabeth

    evaluates utilization rates, scheduling practices, technology deployment and policies, and the physical the interrelated nature of technology, learning space configuration and size, utilization rates, geographic

  16. Using simulation to model and understand group learning Maartje Spoelstra

    E-Print Network [OSTI]

    Sklar, Elizabeth

    Using simulation to model and understand group learning Maartje Spoelstra Dept of Computer Science for agents acting in a simulated learning environment. Varying parameter values can change the learning in a simulation that we can use to gain insights into the design of effective learning environments. Here, we

  17. Designing Robotic Artifacts: Rural School-Community Collaboration for Learning

    E-Print Network [OSTI]

    Designing Robotic Artifacts: Rural School-Community Collaboration for Learning Claudia Urrea MIT of robotic artifacts and the use of other digital technologies can enhance student learning, while also artifact-be it a robot,

  18. 2009 IEEE 8TH INTERNATIONAL CONFERENCE ON DEVELOPMENT AND LEARNING 1 Learning to Make Facial Expressions

    E-Print Network [OSTI]

    Zhou, Yuanyuan

    on the external physical and social world [3]. Here we apply this same idea to the problem of a robot learning production by a robotic head with 31 degrees of freedom. Facial motor parameters were learned using feedback illuminate the computational study of how infants learn to make facial expressions. I. INTRODUCTION The human

  19. Hydrogen Delivery- Current Technology

    Broader source: Energy.gov [DOE]

    Hydrogen is transported from the point of production to the point of use via pipeline, over the road in cryogenic liquid trucks or gaseous tube trailers, or by rail or barge. Read on to learn more about current hydrogen delivery and storage technologies.

  20. Applying reservoir characterization technology

    SciTech Connect (OSTI)

    Lake, L.W.

    1994-12-31T23:59:59.000Z

    While reservoir characterization is an old discipline, only within the last 10 years have engineers and scientists been able to make quantitative descriptions, due mostly to improvements in high-resolution computational power, sophisticated graphics, and geostatistics. This paper summarizes what has been learned during the past decade by using these technologies.

  1. Matrix Learning in Learning Vector Quantization

    E-Print Network [OSTI]

    Biehl, Michael

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

  2. An Effective Standards-Based K-12 Science and Technology/Engineering Classroom

    E-Print Network [OSTI]

    Rosenberg, Steven

    , and focused on student learning. 4.2. students are physically safe. V. Documentation and Communication opportunities. A Shared Vision of Science and Technology/Engineering Learning and Teaching Students learn when/technology/engineering! Students actively participate in learning when they understand the relevance of a lesson, regularly

  3. Energy 101: Fuel Cell Technology

    ScienceCinema (OSTI)

    None

    2014-06-06T23:59:59.000Z

    Learn how fuel cell technology generates clean electricity from hydrogen to power our buildings and transportation-while emitting nothing but water. This video illustrates the fundamentals of fuel cell technology and its potential to supply our homes, offices, industries, and vehicles with sustainable, reliable energy.

  4. Energy 101: Fuel Cell Technology

    SciTech Connect (OSTI)

    None

    2014-03-11T23:59:59.000Z

    Learn how fuel cell technology generates clean electricity from hydrogen to power our buildings and transportation-while emitting nothing but water. This video illustrates the fundamentals of fuel cell technology and its potential to supply our homes, offices, industries, and vehicles with sustainable, reliable energy.

  5. assisted language learning: Topics by E-print Network

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

    contents are not directly presented to the user. Open learner Bull, Susan 3 Online Mind Maps for Language Learning : Assisted Risk-Taking Josphine Rmon1 Computer Technologies...

  6. Webinar: What Can We Learn from Hydrogen Safety Event Databases?

    Broader source: Energy.gov [DOE]

    Video recording of the Fuel Cell Technologies Office webinar, What Can We Learn from Hydrogen Safety Event Databases, originally presented on September 10, 2013.

  7. Panel 1, Hawaii Hydrogen Projects Status & Lessons Learned

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

    Status & Lessons Learned Mitch Ewan Hydrogen Systems Program Manager Hawaii Natural Energy Institute School of Ocean Earth Science and Technology University of Hawaii at...

  8. Archiving Data from New Survey Technologies: Lessons Learned on Enabling Research with High-Precision Data While Preserving Participant Privacy: Preprint

    SciTech Connect (OSTI)

    Gonder, J.; Burton, E.; Murakami, E.

    2014-11-01T23:59:59.000Z

    During the past 15 years, increasing numbers of organizations and planning agencies have begun collecting high-resolution Global Positioning System (GPS) travel data. Despite the significant effort and expense to collect it, privacy concerns often lead to underutilization of the data. To address this dilemma of providing data access while preserving privacy, the National Renewable Energy Laboratory, with support from the U.S. Department of Transportation and U.S. Department of Energy, established the Transportation Secure Data Center (TSDC). Lessons drawn from best-practice examples from other data centers have helped shape the structure and operating procedures for the TSDC, which functions under the philosophy of first and foremost preserving privacy, but doing so in a way that balances security with accessibility and usability of the data for legitimate research. This paper provides details about the TSDC approach toward achieving these goals, which has included creating a secure enclave with no external access for backing up and processing raw data, a publicly accessible website for downloading cleansed data, and a secure portal environment through which approved users can work with detailed spatial data using a variety of tools and reference information. This paper also describes lessons learned from operating the TSDC with respect to improvements in GPS data handling, processing, and user support, along with plans for continual enhancements to better support the needs of both data providers and users and to thus advance the research value derived from such valuable data.

  9. Societal, Economic, Ethical and Legal Challenges of the Digital Revolution: From Big Data to Deep Learning, Artificial Intelligence, and Manipulative Technologies

    E-Print Network [OSTI]

    Helbing, Dirk

    2015-01-01T23:59:59.000Z

    In the wake of the on-going digital revolution, we will see a dramatic transformation of our economy and most of our societal institutions. While the benefits of this transformation can be massive, there are also tremendous risks to our society. After the automation of many production processes and the creation of self-driving vehicles, the automation of society is next. This is moving us to a tipping point and to a crossroads: we must decide between a society in which the actions are determined in a top-down way and then implemented by coercion or manipulative technologies (such as personalized ads and nudging) or a society, in which decisions are taken in a free and participatory way and mutually coordinated. Modern information and communication systems (ICT) enable both, but the latter has economic and strategic benefits. The fundaments of human dignity, autonomous decision-making, and democracies are shaking, but I believe that they need to be vigorously defended, as they are not only core principles of l...

  10. Faience Technology

    E-Print Network [OSTI]

    Nicholson, Paul

    2009-01-01T23:59:59.000Z

    by Joanne Hodges. Faience Technology, Nicholson, UEE 2009Egyptian materials and technology, ed. Paul T. Nicholson,Nicholson, 2009, Faience Technology. UEE. Full Citation:

  11. GRID Technologies => `Education' = `Distance Michalis Xenos

    E-Print Network [OSTI]

    Boyer, Edmond

    GRID Technologies => `Education' = `Distance Education' Michalis Xenos 1,2 , Bill Vassiliadis 1 possibilities that Grid technologies create in education, presents current learning paradigms and makes a prediction about the way in which Grid technologies may affect the future of education. The case

  12. 1663 Science and Technology Magazine | Los National Alamos Laboratory

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

    and learning to harness their abilities could lead to revolutionary new technologies in agriculture, medicine, environmental management, and more. however, only about 1 percent...

  13. APS Storage Ring Parameters

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

    Main Parameters APS Storage Ring Parameters M. Borland, G. Decker, L. Emery, W. Guo, K. Harkay, V. Sajaev, C.-Y. Yao Advanced Photon Source September 8, 2010 This document list the...

  14. Learning Commons Project Team Report Abridged Version

    E-Print Network [OSTI]

    Lozano-Robledo, Alvaro

    individual is free to pursue his or her own learning. But the traditional library, with its focus upon in an environment that is hyper-textual, technology-focused, feedback rich, transactional, and social. Students service plan that directly supports student learning, student empowerment and encourages user independence

  15. Published in Vavoula, G. & Sharples, M. (2009) Meeting the Challenges in Evaluating Mobile Learning: a 3-level Evaluation Framework. International Journal of Mobile and Blended Learning, 1,2, 54-75.

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    2009-01-01T23:59:59.000Z

    , respecting learner/participant privacy, assessing mobile technology utility and usability, considering of common ground with related research areas including Technology-Enhanced Learning (TEL) and Mobile Human now appreciate mobile learning not just as learning that is facilitated by mobile technology, but also

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

    E-Print Network [OSTI]

    Rambaut, Andrew

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

  17. Course info Machine Learning

    E-Print Network [OSTI]

    Shi, Qinfeng "Javen"

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

  18. Technology Validation Hydrogen and fuel cells are a critical

    E-Print Network [OSTI]

    fuel cell electric vehicles (FCEV). Technology validation does not certify marketability, but rather Electric Vehicle Learning Demonstration The Energy Department's National Fuel Cell Electric Vehicle cell technologies against targets such as fuel cell durability and efficiency, vehicle range

  19. THE LEARNING Cardiff Centre for Lifelong Learning

    E-Print Network [OSTI]

    Davies, Christopher

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

  20. LEARNING HERITAGE RESTORATION, LEARNING MATHEMATICS

    E-Print Network [OSTI]

    Spagnolo, Filippo

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

  1. COML (Classroom Orchestration Modelling Language) and Scenarios Designer: Toolsets to Facilitate Collaborative Learning in

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    per student) has the potential to enhance learning in the classroom [1]. A literature survey reveals situations, particularly for collaborative learning [2] [3] [4]. The other area is focused on the technology Collaborative Learning in a One-to-One Technology Classroom Jitti Niramitranon, Mike Sharples, Chris Greenhalgh

  2. Marta Poblet, Universitat Autonoma de Barcelona, Spain (Ed.) Mobile Technologies for Conflict

    E-Print Network [OSTI]

    Autònoma de Barcelona, Universitat

    in conflict prevention and dispute management aiming to learn how mobile technologies can play a disruptive. Mobile Technologies, Conflict Management, and ODR: Exploring Common Grounds; Marta Poblet.- Part IMarta Poblet, Universitat Autonoma de Barcelona, Spain (Ed.) Mobile Technologies for Conflict

  3. SWOT Satellite Mission: Combined State Parameter Estimation

    E-Print Network [OSTI]

    Washington at Seattle, University of

    -parameter estimation problem Data assimilation experiments ­ Water depth ­ Discharge ­ Channel width ­ Roughness coefficient #12;3 Need for a surface water mission Importance to hydrology ­ gauge measurements insufficient hydraulics Amazon Siberia Ohio #12;4 Global gauge measurements #12;5 SWOT Technology These surface water

  4. Innovative Mobile Technologies for Asset Tracking 

    E-Print Network [OSTI]

    Liko, W.

    2013-01-01T23:59:59.000Z

    ICEBO Session 15 - Innovative Mobile Technologies for Asset Tracking Agenda ? Learn how clients have mobilized their enterprise data to increase the consistent capture and reporting of important building information, from lease data to work...

  5. NREL: Learning - Solar Photovoltaic Technology Basics

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated CodesTransparency Visit |Infrastructure TheSolar EnergyHydrogenPhotovoltaic

  6. SCIENCE CHINA Technological Sciences

    E-Print Network [OSTI]

    Ahmad, Sajjad

    SCIENCE CHINA Technological Sciences © Science China Press and Springer-Verlag Berlin Heidelberg HU HongChang, TIAN FuQiang* & HU HePing Department of Hydraulic Engineering, State Key Laboratory as a key soil physical parameter and has been widely used to predict soil hydraulic and other related

  7. Instructor Competencies Needed to Develop Instructional Strategies for Mobile Learning in Fields of Agricultural Education

    E-Print Network [OSTI]

    Irby, Travis Lee

    2014-02-03T23:59:59.000Z

    Delphi, the expert panel reached consensus on 48 competencies needed to develop instructional strategies for mobile learning. The competencies were grouped into seven areas: Communication, Technology, Learning, Course Management and Policies, Course...

  8. Mobile-Learning for Boise State: A Proposal to Catalyze a Transformation in

    E-Print Network [OSTI]

    Barrash, Warren

    Fall 2011 Task Force for Teaching, Learning and Technology #12;Mobile-Learning for Boise State University 2 proposal submitted August 2011 EXECUTIVE SUMMARY The integration of mobile technology as is reasonable because mobile technology is evolving at a rapid rate and innovations based on any single

  9. Technology transfer 1995

    SciTech Connect (OSTI)

    Not Available

    1995-01-01T23:59:59.000Z

    Technology Transfer 1995 is intended to inform the US industrial and academic sectors about the many opportunities they have to form partnerships with the US Department of Energy (DOE) for the mutual advantage of the individual institutions, DOE, and the nation as a whole. It also describes some of the growing number of remarkable achievements resulting from such partnerships. These partnership success stories offer ample evidence that Americans are learning how to work together to secure major benefits for the nation--by combining the technological, scientific, and human resources resident in national laboratories with those in industry and academia. The benefits include more and better jobs for Americans, improved productivity and global competitiveness for technology-based industries, and a more efficient government laboratory system.

  10. K-12 Professional Learning Communities (PLCs) in a Rural School District on the High Plains of Texas: Mechanism for Teacher Support of Innovative Formative Assessment and Instruction with Technology (iFAIT)

    E-Print Network [OSTI]

    Talkmitt, Marcia J.

    2013-05-06T23:59:59.000Z

    The purpose of this study was to explore the evolution of collaborative practices of PLCs as they emerge when using technology based formative assessment via iFAIT or innovative Formative Assessment with Instruction and Technology developed...

  11. REEDMULTIMEDIA LEARNING Cognitive Architectures for Multimedia Learning

    E-Print Network [OSTI]

    Gallo, Linda C.

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

  12. UME Technology Committee November 11, 2014

    E-Print Network [OSTI]

    Finley Jr., Russell L.

    UME Technology Committee November 11, 2014 Mazurek 202 12:00 pm - 1 location (ome.med.wayne.edu) b. Technology Request Form and Suggestion Box have been. Blackboard Mobile LearnTM (Dozier) a. Free mobile downloads and updates for Android

  13. Learning Biophysically-Motivated Parameters for Alpha Helix Prediction

    E-Print Network [OSTI]

    Devadas, Srinivas

    - mentally determined free energy values makes it difficult to design accurate cost functions that can that a protein's secondary structure can be found by min- imizing a free-energy function G that is computed as a sum of elementary free- energies. For example, an elementary free-energy might represent the energetic

  14. A Method for Creating Collaborative Mobile Learning Trails Kevin Walker

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    or exhibit of interest. Introduction This research explores the use of mobile technology to create project; · the Mobile Learning in Informal Science Settings project; · the Philosophy of Technology hypotheses? · How does the use of web-linked mobile technology change the process of the above activities

  15. LEARNING... INFORMATION

    E-Print Network [OSTI]

    Strathclyde, University of

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

  16. Performance Parameters for Grid-Connected PV Systems

    SciTech Connect (OSTI)

    Marion, B.; Adelstein, J.; Boyle, K.; Hayden, H.; Hammond, B.; Fletcher, T.; Canada, B.; Narang, D.; Shugar, D.; Wenger, H.; Kimber, A.; Mitchell, L.; Rich, G.; Townsend, T.

    2005-02-01T23:59:59.000Z

    The use of appropriate performance parameters facilitates the comparison of grid-connected photovoltaic (PV) systems that may differ with respect to design, technology, or geographic location. Four performance parameters that define the overall system performance with respect to the energy production, solar resource, and overall effect of system losses are the following: final PV system yield, reference yield, performance ratio, and PVUSA rating. These performance parameters are discussed for their suitability in providing desired information for PV system design and performance evaluation and are demonstrated for a variety of technologies, designs, and geographic locations. Also discussed are methodologies for determining system a.c. power ratings in the design phase using multipliers developed from measured performance parameters.The use of appropriate performance parameters facilitates the comparison of grid-connected photovoltaic (PV) systems that may differ with respect to design, technology, or geographic location. Four performance parameters that define the overall system performance with respect to the energy production, solar resource, and overall effect of system losses are the following: final PV system yield, reference yield, performance ratio, and PVUSA rating. These performance parameters are discussed for their suitability in providing desired information for PV system design and performance evaluation and are demonstrated for a variety of technologies, designs, and geographic locations. Also discussed are methodologies for determining system a.c. power ratings in the design phase using multipliers developed from measured performance parameters.

  17. Pavement Thickness Design Parameter

    E-Print Network [OSTI]

    Pavement Thickness Design Parameter Impacts 2012 Municipal Streets Seminar November 14, 2012 Paul D. Wiegand, P.E. #12;Pavement Thickness Design · How do cities decide how thick to build their pavements;Pavement Thickness Design · Correct answer ­ A data-based analysis! · Doesn't have to be difficult and time

  18. Project Learning What are the "Lessons Learned"

    E-Print Network [OSTI]

    Christian, Eric

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

  19. National Wind Distance Learning Collaborative

    SciTech Connect (OSTI)

    Dr. James B. Beddow

    2013-03-29T23:59:59.000Z

    Executive Summary The energy development assumptions identified in the Department of Energy's position paper, 20% Wind Energy by 2030, projected an exploding demand for wind energy-related workforce development. These primary assumptions drove a secondary set of assumptions that early stage wind industry workforce development and training paradigms would need to undergo significant change if the workforce needs were to be met. The current training practice and culture within the wind industry is driven by a relatively small number of experts with deep field experience and knowledge. The current training methodology is dominated by face-to-face, classroom based, instructor present training. Given these assumptions and learning paradigms, the purpose of the National Wind Distance Learning Collaborative was to determine the feasibility of developing online learning strategies and products focused on training wind technicians. The initial project scope centered on (1) identifying resources that would be needed for development of subject matter and course design/delivery strategies for industry-based (non-academic) training, and (2) development of an appropriate Learning Management System (LMS). As the project unfolded, the initial scope was expanded to include development of learning products and the addition of an academic-based training partner. The core partners included two training entities, industry-based Airstreams Renewables and academic-based Lake Area Technical Institute. A third partner, Vision Video Interactive, Inc. provided technology-based learning platforms (hardware and software). The revised scope yielded an expanded set of results beyond the initial expectation. Eight learning modules were developed for the industry-based Electrical Safety course. These modules were subsequently redesigned and repurposed for test application in an academic setting. Software and hardware developments during the project's timeframe enabled redesign providing for student access through the use of tablet devices such as iPads. Early prototype Learning Management Systems (LMS) featuring more student-centric access and interfaces with emerging social media were developed and utilized during the testing applications. The project also produced soft results involving cross learning between and among the partners regarding subject matter expertise, online learning pedagogy, and eLearning technology-based platforms. The partners believe that the most significant, overarching accomplishment of the project was the development and implementation of goals, activities, and outcomes that significantly exceeded those proposed in the initial grant application submitted in 2009. Key specific accomplishments include: (1) development of a set of 8 online learning modules addressing electrical safety as it relates to the work of wind technicians; (3) development of a flexible, open-ended Learning Management System (LMS): (3) creation of a robust body of learning (knowledge, experience, skills, and relationships). Project leaders have concluded that there is substantial resource equity that could be leverage and recommend that it be carried forward to pursue a Next Stage Opportunity relating to development of an online core curriculum for institute and community college energy workforce development programs.

  20. Parameterizing the Deceleration Parameter

    E-Print Network [OSTI]

    Diego Pavón; Ivan Duran; Sergio del Campo; Ramón Herrera

    2012-12-31T23:59:59.000Z

    We propose and constrain with the latest observational data three parameterizations of the deceleration parameter, valid from the matter era to the far future. They are well behaved and do not diverge at any redshift. On the other hand, they are model independent in the sense that in constructing them the only assumption made was that the Universe is homogeneous and isotropic at large scales.

  1. Learning Java

    E-Print Network [OSTI]

    Niemeyer, Patrick

    2005-01-01T23:59:59.000Z

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

  2. Learning Curve

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

    1997-03-28T23:59:59.000Z

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

  3. Technology Transfer David Basin and Thai Son Hoang

    E-Print Network [OSTI]

    Basin, David

    Technology Transfer David Basin and Thai Son Hoang Institute of Information Security, ETH Zurich, Switzerland Abstract. This paper presents our experience of knowledge and technology transfer within the lessons learned and what we would do differently in future technology transfer projects. Keywords

  4. 1 ACIT Meeting Notes Advisory Committee for Information Technology

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    1 ACIT Meeting Notes Advisory Committee for Information Technology Meeting Notes MEETING DATE: 12. Larrabee] Tracy Larrabee presented on her use of technology in the classroom. Her experience has been that there is the same face time and interaction as in-class education, and technology only enriches the learning

  5. Distributed Energy Technology Characterization (Desiccant Technologies...

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

    Characterization (Desiccant Technologies), January 2004 Distributed Energy Technology Characterization (Desiccant Technologies), January 2004 The purpose of this report is to...

  6. Scholarship of and Learning

    E-Print Network [OSTI]

    Herbert, Bruce

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

  7. Vehicle Technologies Office: 2014 Electric Drive Technologies...

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

    Electric Drive Technologies Annual Progress Report Vehicle Technologies Office: 2014 Electric Drive Technologies Annual Progress Report The Electric Drive Technologies research and...

  8. Final Results from U.S. FCEV Learning Demonstration (Presentation)

    SciTech Connect (OSTI)

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

    2012-05-01T23:59:59.000Z

    This presentation discusses the objectives of the U.S. DOE Fuel Cell Electric Vehicle Learning Demonstration Project, describes NREL's technology validation approach, and summarizes key technical results from the project.

  9. Uncertainty Propagation for Quality Assurance in Reinforcement Learning

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Shadmehr, Reza

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

  11. Jefferson Lab Website Offers Help For Virginia Standards of Learning...

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

    Standards of Learning Science, Math and Technology Practice Tests and our 'Who Wants to Win 1,000,000 Math and Science Quiz,'" says Steve Gagnon, Jefferson Lab Science Education...

  12. Technology '90

    SciTech Connect (OSTI)

    Not Available

    1991-01-01T23:59:59.000Z

    The US Department of Energy (DOE) laboratories have a long history of excellence in performing research and development in a number of areas, including the basic sciences, applied-energy technology, and weapons-related technology. Although technology transfer has always been an element of DOE and laboratory activities, it has received increasing emphasis in recent years as US industrial competitiveness has eroded and efforts have increased to better utilize the research and development resources the laboratories provide. This document, Technology '90, is the latest in a series that is intended to communicate some of the many opportunities available for US industry and universities to work with the DOE and its laboratories in the vital activity of improving technology transfer to meet national needs. Technology '90 is divided into three sections: Overview, Technologies, and Laboratories. The Overview section describes the activities and accomplishments of the DOE research and development program offices. The Technologies section provides descriptions of new technologies developed at the DOE laboratories. The Laboratories section presents information on the missions, programs, and facilities of each laboratory, along with a name and telephone number of a technology transfer contact for additional information. Separate papers were prepared for appropriate sections of this report.

  13. MOBILE LEARNING AND DIGITAL LIBRARIES Esha Datta, Department of Mechanical

    E-Print Network [OSTI]

    Agogino, Alice M.

    MOBILE LEARNING AND DIGITAL LIBRARIES Esha Datta, Department of Mechanical Engineering, UC Berkeley of settings. In particular, the use of mobile technologies to access digital libraries opens up doors the design and implementation of a mobile learning digital library infrastructure and test applications. We

  14. Learning Communities Peer Mentor

    E-Print Network [OSTI]

    Lin, Zhiqun

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

  15. State Technologies Advancement Collaborative

    SciTech Connect (OSTI)

    David S. Terry

    2012-01-30T23:59:59.000Z

    The U. S. Department of Energy (DOE), National Association of State Energy Officials (NASEO), and Association of State Energy Research and Technology Transfer Institutions (ASERTTI) signed an intergovernmental agreement on November 14, 2002, that allowed states and territories and the Federal Government to better collaborate on energy research, development, demonstration and deployment (RDD&D) projects. The agreement established the State Technologies Advancement Collaborative (STAC) which allowed the states and DOE to move RDD&D forward using an innovative competitive project selection and funding process. A cooperative agreement between DOE and NASEO served as the contracting instrument for this innovative federal-state partnership obligating funds from DOE's Office of Energy Efficiency and Renewable Energy and Office of Fossil Energy to plan, fund, and implement RDD&D projects that were consistent with the common priorities of the states and DOE. DOE's Golden Field Office provided Federal oversight and guidance for the STAC cooperative agreement. The STAC program was built on the foundation of prior Federal-State efforts to collaborate on and engage in joint planning for RDD&D. Although STAC builds on existing, successful programs, it is important to note that it was not intended to replace other successful joint DOE/State initiatives such as the State Energy Program or EERE Special Projects. Overall the STAC process was used to fund, through three competitive solicitations, 35 successful multi-state research, development, deployment, and demonstration projects with an overall average non-federal cost share of 43%. Twenty-two states were awarded at least one prime contract, and organizations in all 50 states and some territories were involved as subcontractors in at least one STAC project. Projects were funded in seven program areas: (1) Building Technologies, (2) Industrial Technologies, (3) Transportation Technologies, (4) Distributed Energy Resources, (5) Hydrogen Technology Learning Centers, (6) Fossil Energy, and (7) Rebuild America.

  16. Policy for the development of e-learning 2007-2010 Introduction

    E-Print Network [OSTI]

    Aickelin, Uwe

    ; #12;· aim to promote learning research, innovation and development that begin with a focus on student students learn. In the future it may not be necessary to have a separate e-learning policy, but at present appropriately, using technology to transform higher education into a more student focused and flexible system

  17. Teaching and learning physics: A model for coordinating physics instruction, outreach, and research

    E-Print Network [OSTI]

    Colorado at Boulder, University of

    student learning of physics, as well as student mastery of theories and practices of teaching and learning level science education. Keywords: physics, education, research, outreach, teaching, service learning I in Mathematics, Science, Engineering, and Technology Education (NSF's PFSMETE Grant Number: DGE-9809496) under

  18. The energy balancing parameter

    E-Print Network [OSTI]

    Walton R. Gutierrez

    2011-05-10T23:59:59.000Z

    A parameter method is introduced in order to estimate the relationship among the various variables of a system in equilibrium, where the potential energy functions are incompletely known or the quantum mechanical calculations very difficult. No formal proof of the method is given; instead, a sufficient number of valuable examples are shown to make the case for the method's usefulness in classical and quantum systems. The mathematical methods required are quite elementary: basic algebra and minimization of power functions. This method blends advantageously with a simple but powerful approximate method for quantum mechanics, sidestepping entirely formal operators and differential equations. It is applied to the derivation of various well-known results involving centrally symmetric potentials for a quantum particle such as the hydrogen-like atom, the elastic potential and other cases of interest. The same formulas provide estimates for previously unsolved cases. PACS: 03.65.-w 30.00.00

  19. Learning to Trade With Insider Information Dept. of Computer Science and Engineering

    E-Print Network [OSTI]

    Das, Sanmay

    Learning to Trade With Insider Information Sanmay Das Dept. of Computer Science and Engineering algorithms for learning how to trade using insider (superior) information in Kyle's model of fi- nancial and parameters of the market. I show here that it is possible to learn the equilibrium trading strategy when its

  20. Motion-to-Energy (M2Eâ?¢) Power Generation Technology

    ScienceCinema (OSTI)

    Idaho National Laboratory

    2010-01-08T23:59:59.000Z

    INL researchers developed M2E, a new technology that converts motion to energy. M2E uses an innovative, optimized microgenerator with power management circuitry that kinetically charges mobile batteries from natural motion such as walking. To learn more,

  1. Motion-to-Energy (M2Eâ„¢) Power Generation Technology

    SciTech Connect (OSTI)

    Idaho National Laboratory

    2008-05-30T23:59:59.000Z

    INL researchers developed M2E, a new technology that converts motion to energy. M2E uses an innovative, optimized microgenerator with power management circuitry that kinetically charges mobile batteries from natural motion such as walking. To learn more,

  2. EmergingTechnologies Some Simple Guidelines for Effective Data Management

    E-Print Network [OSTI]

    are learning a whole new language--using a scripted analysis program, such as the R statistical package (which range from hardware and software, to statistical analyses and technologies that could be used

  3. Technical University Hamburg-Harburg Department of Software Technology & Systems

    E-Print Network [OSTI]

    Moeller, Ralf

    TUHH Technical University Hamburg-Harburg Department of Software Technology & Systems Project work Processes & Systems) Department of Airbus Germany GmbH, to create their own eLearning courses for SAP: Migration from face-to-face SAP courses to eLearning International Master Program "Information and Media

  4. FUEL CELL TECHNOLOGIES PROGRAM Technologies

    E-Print Network [OSTI]

    and fuel cells offer great promise for our energy future. Fuel cell vehicles are not yet commercially, such as a hydrogen fueling station or hydrogen fuel cell vehicle. Technology validation does not certify, and the Federal Government to evaluate hydrogen fuel cell vehicle and infrastructure technologies together in real

  5. Stochastic Learning and Optimization

    E-Print Network [OSTI]

    Cao, Xiren

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

  6. DOE Lessons Learned

    Broader source: Energy.gov [DOE]

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

  7. Learning Transformations From Video

    E-Print Network [OSTI]

    Wang, Ching Ming

    2010-01-01T23:59:59.000Z

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

  8. Teaching the History of Cartography: A Case for the Marriage of Special Collections and Distance Learning

    E-Print Network [OSTI]

    Kovarsky, Joel

    2006-09-25T23:59:59.000Z

    Coordinates Series B, No. 7 Teaching the History of Cartography: A Case for the Marriage of Special Collections and Distance Learning Persistent URL for citation: http://purl.oclc.org/ coordinates/b7.pdf Date of Publication: 09... situations, employing both synchronous (real-time) and asynchronous technologies. Keywords: history, cartography, teaching, education, special collections, maps, atlases, charts, distance learning, blended learning, web based learning, synchronous classes...

  9. LUNAR SOIL SIMULATION TRAFFICABILITY PARAMETERS

    E-Print Network [OSTI]

    Rathbun, Julie A.

    LUNAR SOIL SIMULATION and TRAFFICABILITY PARAMETERS by W. David Carrier, III Lunar Geotechnical.0 RECOMMENDED LUNAR SOIL TRAFFICABILITY PARAMETERS Table 9.14 in the Lunar Sourcebook (Carrier et al. 1991, p. 529) lists the current recommended lunar soil trafficability parameters: bc = 0.017 N/cm2 bN = 35° K

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

    E-Print Network [OSTI]

    Jeongho Bang; Seung-Woo Lee; Hyunseok Jeong

    2015-04-20T23:59:59.000Z

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

  11. Subsurface Geotechnical Parameters Report

    SciTech Connect (OSTI)

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

    2003-12-17T23:59:59.000Z

    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.

  12. Estimating home energy decision parameters for a hybrid energyYeconomy policy model

    E-Print Network [OSTI]

    Estimating home energy decision parameters for a hybrid energyYeconomy policy model Mark Jaccard, Canada E-mail: jaccard@sfu.ca Hybrid energyYeconomy models combine the advantages of a technologically parameters translate into the behavioral parameters of a hybrid model. We then simulate household energy

  13. Emerging energy-efficient technologies for industry

    SciTech Connect (OSTI)

    Worrell, Ernst; Martin, Nathan; Price, Lynn; Ruth, Michael; Elliott, Neal; Shipley, Anna; Thorn, Jennifer

    2001-03-20T23:59:59.000Z

    For this study, we identified about 175 emerging energy-efficient technologies in industry, of which we characterized 54 in detail. While many profiles of individual emerging technologies are available, few reports have attempted to impose a standardized approach to the evaluation of the technologies. This study provides a way to review technologies in an independent manner, based on information on energy savings, economic, non-energy benefits, major market barriers, likelihood of success, and suggested next steps to accelerate deployment of each of the analyzed technologies. There are many interesting lessons to be learned from further investigation of technologies identified in our preliminary screening analysis. The detailed assessments of the 54 technologies are useful to evaluate claims made by developers, as well as to evaluate market potentials for the United States or specific regions. In this report we show that many new technologies are ready to enter the market place, or are currently under development, demonstrating that the United States is not running out of technologies to improve energy efficiency and economic and environmental performance, and will not run out in the future. The study shows that many of the technologies have important non-energy benefits, ranging from reduced environmental impact to improved productivity. Several technologies have reduced capital costs compared to the current technology used by those industries. Non-energy benefits such as these are frequently a motivating factor in bringing technologies such as these to market. Further evaluation of the profiled technologies is still needed. In particular, further quantifying the non-energy benefits based on the experience from technology users in the field is important. Interactive effects and inter-technology competition have not been accounted for and ideally should be included in any type of integrated technology scenario, for it may help to better evaluate market opportunities.

  14. Lessons Learned | Department of Energy

    Energy Savers [EERE]

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

  15. Technology Application Centers: Facilitating Technology Transfer

    E-Print Network [OSTI]

    Kuhel, G. J.

    's approach to technology deployment seeks to blend an industrial customer's priorities with the utility's marketing and customer service objectives. A&C Enercom sees technology deployment as the sum of an equation: technology deployment equals technology...

  16. Technology and social communication

    SciTech Connect (OSTI)

    Moore, G.A.

    1996-12-31T23:59:59.000Z

    For centuries advances in what we now term media have generated concerns about the effect these advances have on values and morality-books, stage drama, movies, TV, and now computer-based fantasy and Internet-based distribution. These media comprise some of the most powerful agents for developing our fundamental strategies for living. Computer-based fantasy can provide waves of sensations that everyday life does not prepare us for; they create a wow effect. The implications are especially, strong for adolescents. Wow effects come to seem ordinary. We can easily overdose on them with a subsequent dulling of sensibility that motivates one to seek the next level. As the wow effect is numbed, socializing restrictions break down. A psychological strategy of distancing is one defense against enhanced imagery - a strategy of cool as antidote. The wow-cool dipole can foster a role as spectator that inhibits empathy and a fundamental distancing from the self. Technology - the source of our concerns-can also help to counteract them. The most powerful drive in children is to learn mastery of the world. New input and output devices and especially properly designed software can enhance the capacity to learn and to be creative, i.e. to gain mastery over the world. These powerful new modes of communication not only give us great access to the world, they give the world great access to us. We must supplant what is now mostly a passive broadcast system with interactive exploration and two-way communication.

  17. Here at eXelate, we are looking to hire a data scientist to work with us in digital advertising technology. We are looking for someone comfortable at the intersection of computer science and statistics / econometrics to work on machine learning problems a

    E-Print Network [OSTI]

    / econometrics to work on machine learning problems at massive scale and help us build our analytics

  18. A ROADMAP FOR TECHNOLOGY ENHANCED PROFESSIONAL

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A ROADMAP FOR TECHNOLOGY ENHANCED PROFESSIONAL LEARNING (TEPL) Network of Excellence for engaging themselves in open and constructive dialogue with the Roadmapping team and for their contributions to various Roadmapping events - Richard Straub, IBM, Richard Straub Secretary-General ELIG, France - Fabrizio

  19. Idaho Science, Technology, Engineering and Mathematics Overview

    ScienceCinema (OSTI)

    None

    2013-05-28T23:59:59.000Z

    Idaho National Laboratory has been instrumental in establishing the Idaho Science, Technology, Engineering and Mathematics initiative -- i-STEM, which brings together industry, educators, government and other partners to provide K-12 teachers with support, materials and opportunities to improve STEM instruction and increase student interest in technical careers. You can learn more about INL's education programs at http://www.facebook.com/idahonationallaboratory.

  20. Massachusetts Institute of Technology ChangingPlaces

    E-Print Network [OSTI]

    technologies in each context. The Home The home will soon become a center for health care, energy production, distributed energy production, commerce, and learning. It will contain the most complex activities of any to expand the grid and build new centralized plants, will motivate home-based renewable energy production

  1. Science and Technology Facility

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

    IBRF Project Lessons Learned Report Integrated Biorefinery Research Facility Lessons Learned - Stage I Acquisition through Stage II Construction Completion August 2011 This...

  2. FEMP/NTDP Technology Focus New Technology

    E-Print Network [OSTI]

    FEMP/NTDP Technology Focus New Technology Demonstration Program Technology Focus FEMPFederal Energy Management Program Trends in Energy Management Technology: BCS Integration Technologies ­ Open Communications into a complete EMCIS. The first article [1] covered enabling technologies for emerging energy management systems

  3. Effect of mechanical parameters on dielectric elastomer minimum energy structures

    E-Print Network [OSTI]

    Floreano, Dario

    Effect of mechanical parameters on dielectric elastomer minimum energy structures Jun Shintake energy structures Jun Shintake*a,b , Samuel Rosseta , Dario Floreanob , Herbert R. Sheaa a Microsystems for Space Technologies Laboratory, Ecole Polytechnique Fédérale de Lausanne (EPFL), Neuchâtel, Switzerland b

  4. A comparison algorithm to check LTSA Layer 1 and SCORM compliance in e-Learning sites

    E-Print Network [OSTI]

    Sengupta, Souvik; Banerjee, Nilanjan

    2012-01-01T23:59:59.000Z

    The success of e-Learning is largely dependent on the impact of its multimedia aided learning content on the learner over the hyper media. The e-Learning portals with different proportion of multimedia elements have different impact on the learner, as there is lack of standardization. The Learning Technology System Architecture (LTSA) Layer 1 deals with the effect of environment on the learner. From an information technology perspective it specifies learner interaction from the environment to the learner via multimedia content. Sharable Content Object Reference Model (SCROM) is a collection of standards and specifications for content of web-based e-learning and specifies how JavaScript API can be used to integrate content development. In this paper an examination is made on the design features of interactive multimedia components of the learning packages by creating an algorithm which will give a comparative study of multimedia component used by different learning packages. The resultant graph as output helps...

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

    E-Print Network [OSTI]

    Griffiths, Nathan

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

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

    E-Print Network [OSTI]

    Christian, Eric

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

  7. Digital Technology For Conviviality 37 The Education Intervention

    E-Print Network [OSTI]

    Digital Technology For Conviviality 37 Context: The Education Intervention effort in Thailand 3333://www.onec.go.th) #12;3 - Context 38 Digital Technology For Conviviality able to think, take action based on their ideas of the bodies of knowledge and learning process. The organization of system, structure, and process of education

  8. (Environmental technology)

    SciTech Connect (OSTI)

    Boston, H.L.

    1990-10-12T23:59:59.000Z

    The traveler participated in a conference on environmental technology in Paris, sponsored by the US Embassy-Paris, US Environmental Protection Agency (EPA), the French Environmental Ministry, and others. The traveler sat on a panel for environmental aspects of energy technology and made a presentation on the potential contributions of Oak Ridge National Laboratory (ORNL) to a planned French-American Environmental Technologies Institute in Chattanooga, Tennessee, and Evry, France. This institute would provide opportunities for international cooperation on environmental issues and technology transfer related to environmental protection, monitoring, and restoration at US Department of Energy (DOE) facilities. The traveler also attended the Fourth International Conference on Environmental Contamination in Barcelona. Conference topics included environmental chemistry, land disposal of wastes, treatment of toxic wastes, micropollutants, trace organics, artificial radionuclides in the environment, and the use biomonitoring and biosystems for environmental assessment. The traveler presented a paper on The Fate of Radionuclides in Sewage Sludge Applied to Land.'' Those findings corresponded well with results from studies addressing the fate of fallout radionuclides from the Chernobyl nuclear accident. There was an exchange of new information on a number of topics of interest to DOE waste management and environmental restoration needs.

  9. Cycle Track Lessons Learned

    E-Print Network [OSTI]

    Bertini, Robert L.

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

  10. Learning poisson binomial distributions

    E-Print Network [OSTI]

    Daskalakis, Constantinos

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

  11. What is Continual Learning?

    Broader source: Energy.gov [DOE]

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

  12. Specific Learning Difficulties

    E-Print Network [OSTI]

    Anderson, Jim

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

  13. SELECTING INFORMATION TECHNOLOGY SECURITY

    E-Print Network [OSTI]

    April 2004 SELECTING INFORMATION TECHNOLOGY SECURITY PRODUCTS Shirley Radack, Editor Computer Security Division Information Technology Laboratory National Institute of Standards and Technology Information technology security prod ucts are essential to better secure infor mation technology (IT) systems

  14. Machine LearningMachine Learning Stephen Scott

    E-Print Network [OSTI]

    Scott, Stephen D.

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

  15. Learning and risk aversion

    E-Print Network [OSTI]

    Oyarzun, Carlos

    2009-06-02T23:59:59.000Z

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

  16. SUNY Programs: Experiential Learning

    E-Print Network [OSTI]

    Suzuki, Masatsugu

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

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

    E-Print Network [OSTI]

    Guthrie, Victor Anthony

    2011-01-01T23:59:59.000Z

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

  18. Lessons Learned

    SciTech Connect (OSTI)

    Dougan, A D; Blair, S

    2006-11-14T23:59:59.000Z

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

  19. Technology disrupted

    SciTech Connect (OSTI)

    Papatheodorou, Y. [CH2M Hill (United States)

    2007-02-15T23:59:59.000Z

    Three years ago, the author presented a report on power generation technologies which in summary said 'no technology available today has the potential of becoming transformational or disruptive in the next five to ten years'. In 2006 the company completed another strategic view research report covering the electric power, oil, gas and unconventional energy industries and manufacturing industry. This article summarises the strategic view findings and then revisits some of the scenarios presented in 2003. The cost per megawatt-hour of the alternatives is given for plants ordered in 2005 and then in 2025. The issue of greenhouse gas regulation is dealt with through carbon sequestration and carbon allowances or an equivalent carbon tax. Results reveal substantial variability through nuclear power, hydro, wind, geothermal and biomass remain competitive through every scenario. Greenhouse gas scenario analysis shows coal still be viable, albeit less competitive against nuclear and renewable technologies. A carbon tax or allowance at $24 per metric ton has the same effect on IGCC cost as a sequestration mandate. However, the latter would hurt gas plants much more than a tax or allowance. Sequestering CO{sub 2} from a gas plant is almost as costly per megawatt-hour as for coal. 5 refs., 5 figs., 5 tabs.

  20. Emerging technologies

    SciTech Connect (OSTI)

    Lu, Shin-yee

    1993-03-01T23:59:59.000Z

    The mission of the Emerging Technologies thrust area at Lawrence Livermore National Laboratory is to help individuals establish technology areas that have national and commercial impact, and are outside the scope of the existing thrust areas. We continue to encourage innovative ideas that bring quality results to existing programs. We also take as our mission the encouragement of investment in new technology areas that are important to the economic competitiveness of this nation. In fiscal year 1992, we have focused on nine projects, summarized in this report: (1) Tire, Accident, Handling, and Roadway Safety; (2) EXTRANSYT: An Expert System for Advanced Traffic Management; (3) Odin: A High-Power, Underwater, Acoustic Transmitter for Surveillance Applications; (4) Passive Seismic Reservoir Monitoring: Signal Processing Innovations; (5) Paste Extrudable Explosive Aft Charge for Multi-Stage Munitions; (6) A Continuum Model for Reinforced Concrete at High Pressures and Strain Rates: Interim Report; (7) Benchmarking of the Criticality Evaluation Code COG; (8) Fast Algorithm for Large-Scale Consensus DNA Sequence Assembly; and (9) Using Electrical Heating to Enhance the Extraction of Volatile Organic Compounds from Soil.

  1. Venus Technology Plan Venus Technology Plan

    E-Print Network [OSTI]

    Rathbun, Julie A.

    Venus Technology Plan May 2014 #12; ii Venus Technology Plan At the Venus Exploration Survey priorities, and (3) develop a Technology Plan for future Venus missions (after a Technology Forum at VEXAG Meeting 11 in November 2013). Here, we present the 2014 Venus Technology Plan

  2. Fuel Cell Technologies Office Science and Technology Policy Fellowship...

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

    Cell Technologies Office Science and Technology Policy Fellowship Opportunities Available Fuel Cell Technologies Office Science and Technology Policy Fellowship Opportunities...

  3. Learners' Quanta based Design of a Learning Management System

    E-Print Network [OSTI]

    Sengupta, Souvik; Dasgupta, Ranjan

    2012-01-01T23:59:59.000Z

    In this paper IEEE Learning Technology System Architecture (LTSA) for LMS software has been analyzed. It has been observed that LTSA is too abstract to be adapted in a uniform way by LMS developers. A Learners' Quanta based high level design that satisfies the IEEE LTSA standard has been proposed for future development of efficient LMS software. A hybrid model of learning fitting into LTSA model has also been proposed while designing.

  4. A Cognitive Approach to Student-Centered e-Learning

    SciTech Connect (OSTI)

    Greitzer, Frank L.

    2002-09-30T23:59:59.000Z

    Like traditional classroom instruction, distance/electronic learning (e-Learning) derives from largely behaviorist computer-based instruction paradigms that tend to reflect passive training philosophies. Over the past thirty years, more flexible, student-centered classroom teaching methods have been advocated based on the concepts of ''discovery'' learning and ''active'' learning; student-centered approaches are likewise encouraged in the development of e-Learning applications. Nevertheless, many e-Learning applications that employ state-of-the art multimedia technology in which students interact with simulations, animations, video, and sounds still fail to meet their expected training potential. Implementation of multimedia-based training features may give the impression of engaging the student in more active forms of learning, but sophisticated use of multimedia features does not necessarily produce the desired effect. This paper briefly reviews some general guidelines for applying cognitive science principles to development of student-centered e-Learning applications and describes a cognitive approach to e-Learning development that is being undertaken for the US Army.

  5. Statistical Learning Theory of Protein Dynamics

    E-Print Network [OSTI]

    Haas, Kevin

    2013-01-01T23:59:59.000Z

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

  6. Finding the Next Big Thing(s) in Building Energy Efficiency: HIT Catalyst and the Technology Demo Program

    Broader source: Energy.gov [DOE]

    Learn how the Department prioritizes high impact technologies (HITs) to advance energy efficiency. Hear from a Better Buildings program participant who is working with Department staff to test promising technologies in buildings. Learn what they are finding and how you can get involved.

  7. Technology and the Box

    E-Print Network [OSTI]

    Maitland, Padma

    2013-01-01T23:59:59.000Z

    its explorations of technology in partnership with radicalPadma Maitland Technology and the Box The room is thedisciplines. The theme of “Technology and the Box” emerged

  8. Hydrogen Technologies Group

    SciTech Connect (OSTI)

    Not Available

    2008-03-01T23:59:59.000Z

    The Hydrogen Technologies Group at the National Renewable Energy Laboratory advances the Hydrogen Technologies and Systems Center's mission by researching a variety of hydrogen technologies.

  9. Innovation and Transportation's Technologies

    E-Print Network [OSTI]

    Garrison, William L.

    2001-01-01T23:59:59.000Z

    decision making. Innovation and technology lock-in hasStage 1 imagine the innovation and technology developmentof emphasizing innovation and technology development. Pull

  10. A Casebase of Intelligent Buildings for E-learning Systems

    E-Print Network [OSTI]

    Chen, Z.; Clements-Croome, D. J.; Ozkan, G.; Hong, J.; Xu, Z.

    2006-01-01T23:59:59.000Z

    in tertiary education (WebCT, 2004; Stanton, Chotiner, Farrar, and Pennington, 2005); there are still large spaces of innovation accompanying the fast development of information and communication technologies (Steeples, Jones, and Goodyear, 2002; Dunn...://www.blackboard.com/company/press/release.a spx?id=767025>. [14] Steeples, C., Jones, C., and Goodyear, P. (2002) Beyond e-learning: a future for networked learning. In C. Steeples, C. Jones, (eds.) Networked Learning: Perspective and Issues. London: Springer-Verlag. [15] WebCT (2004...

  11. The Use of Technology in the Marketing Classroom at The Pennsylvania State University

    E-Print Network [OSTI]

    The Use of Technology in the Marketing Classroom at The Pennsylvania State University and Louisiana in information technology goods and services, as much as $20 billion of which has gone to the support of teaching and learning (Geoghegan 1994). Although the investment in instructional technology is significant

  12. Role of design complexity in technology improvement James McNerneya,b

    E-Print Network [OSTI]

    model for the evolution of the cost (or more generally the performance) of a technology or production experience curve learning curve performance curve The relation between a technology's cost c technologies in Fig. 1. The relationship between cost and cumulative production goes under several different

  13. Technological and institutional `lock-in' as a barrier to sustainable Timothy J. Foxon,

    E-Print Network [OSTI]

    a technology has large set-up or fixed costs, unit production costs decline as these as spread over increasing production volume. Thus, an existing technology often has significant `sunk costs' from earlier investments, learning curves have been empirically demonstrated for a number of technologies, showing unit costs

  14. TECHNOLOGY FORUM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOriginEducationVideoStrategic| Department of Energy 51:Cross-Site66 -Topic Groups TECHNOLOGY

  15. Vehicle Technologies Office: 2009 Advanced Vehicle Technology...

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

    Well-to-Wheels Analysis of Energy Use and Greenhouse Gas Emissions of Plug-In Hybrid Electric Vehicles Vehicle Technologies Office: 2008 Advanced Vehicle Technology Analysis...

  16. Vehicle Technologies Office: 2008 Advanced Vehicle Technology...

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

    Vehicle Technology Analysis and Evaluation Activities and Heavy Vehicle Systems Optimization Program Annual Progress Report Vehicle Technologies Office: 2008 Advanced Vehicle...

  17. www.usask.ca/learning_charter OurLearningVision

    E-Print Network [OSTI]

    Saskatchewan, University of

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

  18. Strategy for quantum algorithm design assisted by machine learning

    E-Print Network [OSTI]

    Jeongho Bang; Junghee Ryu; Seokwon Yoo; Marcin Pawlowski; Jinhyoung Lee

    2014-07-17T23:59:59.000Z

    We propose a method for quantum algorithm design assisted by machine learning. The method uses a quantum-classical hybrid simulator, where a "quantum student" is being taught by a "classical teacher." In other words, in our method, the learning system is supposed to evolve into a quantum algorithm for a given problem assisted by classical main-feedback system. Our method is applicable to design quantum oracle-based algorithm. As a case study, we chose an oracle decision problem, called a Deutsch-Jozsa problem. We showed by using Monte-Carlo simulations that our simulator can faithfully learn quantum algorithm to solve the problem for given oracle. Remarkably, learning time is proportional to the square root of the total number of parameters instead of the exponential dependance found in the classical machine learning based method.

  19. Dezincing Technology

    SciTech Connect (OSTI)

    Dudek, F.J.; Daniels, E.J. [Argonne National Lab., IL (United States). Energy Service Div.; Morgan, W.A. [Metal Recovery Technologies, Inc., East Chicago, IN (United States)

    1997-08-01T23:59:59.000Z

    Half of the steel produced in the US is derived from scrap. With zinc-coated prompt scrap increasing fivefold since 1980, steel-makers are feeling the effect of increased contaminant loads on their operations. The greatest concern is the cost of treatment before disposal of waste dusts and water that arise from remelting zinc-coated scrap. An economic process is needed to strip and recover the zinc from scrap to provide a low residual scrap for steel- and iron-making. Metal Recovery Technologies, Inc., with the assistance of Argonne National Laboratory, have been developing a caustic leach dezincing process for upgrading galvanized stamping plant scrap into clean scrap with recovery of the zinc. With further development the technology could also process galvanized scrap from obsolete automobiles. This paper will review: (1) the status of recent pilot plant operations and plans for a commercial demonstration facility with a dezincing capacity of up to 250,000 tons/year, (2) the economics of caustic dezincing, and (3) benefits of decreased cost of environmental compliance, raw material savings, and improved operations with use of dezinced scrap.

  20. General com Technology community

    E-Print Network [OSTI]

    Ferrara, Katherine W.

    Campus IT General com m unity Technology community ITsystem owners Campus Council for Information Technology (CCFIT) · ~30 members · Advisory evaluation and review role · Input from faculty, staff, students formal representation on steering team and subcommittees Technology Support Program · Technology support

  1. CSIR TECHNOLOGY AWARDS -2013

    E-Print Network [OSTI]

    Jayaram, Bhyravabotla

    CSIR TECHNOLOGY AWARDS - 2013 GUIDELINES & PROFORMAE FOR NOMINATIONS Planning and Performance 2013 #12;CSIR TECHNOLOGY AWARDS BRIEF DETAILS ,,CSIR Technology Awards were instituted in 1990 to encourage multi-disciplinary in- house team efforts and external interaction for technology development

  2. Northwest Regional Technology Center

    E-Print Network [OSTI]

    Northwest Regional Technology Center for Homeland Security The Northwest Regional Technology Center and deployment of technologies that are effective homeland security solutions for the region, and accelerate technology transfer to the national user community. Foster a collaborative spirit across agencies

  3. Machine Learning: Foundations and Algorithms

    E-Print Network [OSTI]

    Ben-David, Shai

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

  4. STUDENT LEARNING ASSESSMENT PROGRAM ARCHITECTURE: POST-PROFESSIONAL MASTER OF ARCHITECTURE

    E-Print Network [OSTI]

    Walter, M.Todd

    1 STUDENT LEARNING ASSESSMENT PROGRAM ARCHITECTURE: POST-PROFESSIONAL MASTER OF ARCHITECTURE M technological, social and economic forces are influencing architectural design, research, practice and pedagogy and/or advanced representational and/or fabrication techniques used in architectural design

  5. BUSINESS INFORMATION MANAGEMENT @ UCI >>> WhAT dId yOU lEARN?

    E-Print Network [OSTI]

    Barrett, Jeffrey A.

    BUSINESS INFORMATION MANAGEMENT @ UCI >>> WhAT dId yOU lEARN? My COURSES hAvE INCl to Managerial Finance I learned how to make financial projections for technology projects. Business Intelligence and implement the kinds of databases that are used by virtually every business and enterprise in the world

  6. A forward microphysical model to predict the size-distribution parameters of laboratory generated (mimic)

    E-Print Network [OSTI]

    Oxford, University of

    A forward microphysical model to predict the size- distribution parameters of laboratory generated Interactions ­ Condensational Growth and Coagulation, Submitted for Indian Aerosol Science and Technology Microphysical Model for the UTLS (FAMMUS) is applied to predict the size-distribution parameters of laboratory

  7. Designing for Learning: Multiplayer Digital Game Learning Environments

    E-Print Network [OSTI]

    Kim, Chung

    2010-01-01T23:59:59.000Z

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

  8. Real-World Hydrogen Technology Validation: Preprint

    SciTech Connect (OSTI)

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

    2012-03-01T23:59:59.000Z

    The Department of Energy, the Department of Defense's Defense Logistics Agency, and the Department of Transportation's Federal Transit Administration have funded learning demonstrations and early market deployments to provide insight into applications of hydrogen technologies on the road, in the warehouse, and as stationary power. NREL's analyses validate the technology in real-world applications, reveal the status of the technology, and facilitate the development of hydrogen and fuel cell technologies, manufacturing, and operations. This paper presents the maintenance, safety, and operation data of fuel cells in multiple applications with the reported incidents, near misses, and frequencies. NREL has analyzed records of more than 225,000 kilograms of hydrogen that have been dispensed through more than 108,000 hydrogen fills with an excellent safety record.

  9. Hydrogen Technology Validation

    Fuel Cell Technologies Publication and Product Library (EERE)

    This fact sheet provides a basic introduction to the DOE Hydrogen National Hydrogen Learning Demonstration for non-technical audiences.

  10. reprinted from Learning through Multimedia

    E-Print Network [OSTI]

    Boyer, Edmond

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

  11. Parameter Optimization for Laser Polishing of Niobium for SRF Applications

    SciTech Connect (OSTI)

    Zhao, Liang [Thomas Jefferson National Accelerator Facility, Newport News, VA (United States) and William and Mary College, Williamsburg, VA (United States); Klopf, John Michael [Thomas Jefferson National Accelerator Facility, Newport News, VA (United States); Reece, Charles E. [Thomas Jefferson National Accelerator Facility, Newport News, VA (United States); Kelley, Michael J. [Thomas Jefferson National Accelerator Facility, Newport News, VA (United States) and William and Mary College, Williamsburg, VA (United States)

    2013-06-01T23:59:59.000Z

    Surface smoothness is critical to the performance of SRF cavities. As laser technology has been widely applied to metal machining and surface treatment, we are encouraged to use it on niobium as an alternative to the traditional wet polishing process where aggressive chemicals are involved. In this study, we describe progress toward smoothing by optimizing laser parameters on BCP treated niobium surfaces. Results shows that microsmoothing of the surface without ablation is achievable.

  12. Quantum learning of coherent states

    E-Print Network [OSTI]

    Gael Sentís; Madalin Guta; Gerardo Adesso

    2014-10-31T23:59:59.000Z

    We develop a quantum learning scheme for binary discrimination of coherent states of light. This is a problem of technological relevance for the reading of information stored in a digital memory. In our setting, a coherent light source is used to illuminate a memory cell and retrieve its encoded bit by determining the quantum state of the reflected signal. We consider a situation where the amplitude of the states produced by the source is not fully known, but instead this information is encoded in a large training set comprising many copies of the same coherent state. We show that an optimal global measurement, performed jointly over the signal and the training set, provides higher successful identification rates than any learning strategy based on first estimating the unknown amplitude by means of Gaussian measurements on the training set, followed by an adaptive discrimination procedure on the signal. By considering a simplified variant of the problem, we argue that this is the case even for non-Gaussian estimation measurements. Our results show that, even in absence of entanglement, collective quantum measurements yield an enhancement in the readout of classical information, which is particularly relevant in the operating regime of low-energy signals.

  13. Energy and technology lessons since Rio

    SciTech Connect (OSTI)

    Edmonds, James A.; Calvin, Katherine V.; Clarke, Leon E.; Kyle, G. Page; Wise, Marshall A.

    2012-11-01T23:59:59.000Z

    The 1992 Framework Convention on Climate Change created the basic international architecture for addressing climate change. That treaty was negotiated at a time when the research literature examining emissions mitigation and the role of energy technology was relatively limited. In the two subsequent decades a great deal has been learned. The problem of stabilizing the concentration of greenhouse gases in the atmosphere has proved far more difficult than envisioned in 1992 and the role of technology appears even more important when emissions mitigation strategies are co-developed in the context of multiple competing ends.

  14. Parameters estimation for spatio-temporal maximum entropy distributions: application to neural spike trains

    E-Print Network [OSTI]

    Nasser, Hassan

    2014-01-01T23:59:59.000Z

    We propose a numerical method to learn Maximum Entropy (MaxEnt) distributions with spatio-temporal constraints from experimental spike trains. This is an extension of two papers [10] and [4] who proposed the estimation of parameters where only spatial constraints were taken into account. The extension we propose allows to properly handle memory effects in spike statistics, for large sized neural networks.

  15. A Viterbi-like algorithm and EM learning for statistical abduction Taisuke SATO Yoshitaka KAMEYA

    E-Print Network [OSTI]

    Sato, Taisuke

    A Viterbi-like algorithm and EM learning for statistical abduction Taisuke SATO Yoshitaka KAMEYA@mi.cs.titech.ac.jp Abstract We propose statistical abduction as a #12;rst- order logical framework for representing and learning probabilistic knowledge. It com- bines logical abduction with a parameter- ized distribution over

  16. A Simulation Approach to Dynamic Portfolio Choice with an Application to Learning

    E-Print Network [OSTI]

    Stroud, Jonathan

    A Simulation Approach to Dynamic Portfolio Choice with an Application to Learning About Return 2000 This Draft: December 2003 Abstract We present a simulation-based method for solving discrete, parameter and model uncertainty, and learning. We first establish the properties of the method

  17. Learning and Vision Machines BERND HEISELE, ALESSANDRO VERRI, AND TOMASO POGGIO

    E-Print Network [OSTI]

    Poggio, Tomaso

    systems that learn and adapt represent one of the most im- portant trends in computer vision research & Telephone, Siemens Corporate Research, Inc., Toyota Motor Corporation, and The Whitaker Foundation. B on the control parameters x . When images are the inputs x , instead, the system learns to perform the inverse

  18. To appear in, Proc. of NAS Workshop on Assessing the Economic Impacts of Climate Change, April 2010, and special issue of, Energy Economics Uncertainties in Technology Experience Curves for

    E-Print Network [OSTI]

    , and special issue of, Energy Economics Uncertainties in Technology Experience Curves for Energy curves) relating reductions in the unit cost of energy and environmental technologies to their cumulative: Experience curve, learning curve, learning-by-doing, uncertainties, endogenous technological change, energy

  19. Optimization Online - Enclosing Machine Learning

    E-Print Network [OSTI]

    Wei Xunkai

    2007-10-20T23:59:59.000Z

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

  20. Treat Teaching as Learned Profession

    E-Print Network [OSTI]

    Helen Duffy

    2004-01-01T23:59:59.000Z

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

  1. Innovative Mobile Technologies for Asset Tracking

    E-Print Network [OSTI]

    Liko, W.

    2013-01-01T23:59:59.000Z

    orders to space & occupancy costs. ? Top 5 lessons learned implementing a mobile solution Who We Are ? Experts in both Real Property and Facilities Management Business and Technology ? Over 250 years of combined experience that encompasses facility... assigned by layer and not by block or object ? Do you have nested blocks ? Complexity and detail of predefined blocks Facility Surveys Facility Surveys Facility Surveys Workflow: do more in fewer steps with mobility ? Eliminate paper with instant...

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

    E-Print Network [OSTI]

    Lake, Brenden M

    2014-01-01T23:59:59.000Z

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

  3. The Learning Environment

    E-Print Network [OSTI]

    Howard, Jeff W.

    2005-05-10T23:59:59.000Z

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

  4. Residential Learning University Housing

    E-Print Network [OSTI]

    Rusu, Adrian

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

  5. CMM Technology

    SciTech Connect (OSTI)

    Ward, Robert C.

    2008-10-20T23:59:59.000Z

    This project addressed coordinate measuring machine (CMM) technology and model-based engineering. CMM data analysis and delivery were enhanced through the addition of several machine types to the inspection summary program. CMM hardware and software improvements were made with the purchases of calibration and setup equipment and new model-based software for the creation of inspection programs. Kansas City Plant (KCP) personnel contributed to and influenced the development of dimensional metrology standards. Model-based engineering capabilities were expanded through the development of software for the tolerance analysis of piece parts and for the creation of model-based CMM inspection programs and inspection plans and through the purchase of off-the-shelf software for the tolerance analysis of mechanical assemblies. An obsolete database application used to track jobs in Precision Measurement was replaced by a web-based application with improved query and reporting capabilities. A potential project to address the transformation of the dimensional metrology enterprise at the Kansas City Plant was identified.

  6. Practical matters for defense contractors converting DoD technology to commercial markets

    E-Print Network [OSTI]

    Ting, Carina Maria

    2012-01-01T23:59:59.000Z

    This thesis asks if and how the defense contractor can profitably transfer the technology and institutional learning obtained from DoD funded R&D to commercial markets. There are numerous examples of very successful defense ...

  7. HST.921 / HST.922 Information Technology in the Health Care System of the Future, Spring 2007

    E-Print Network [OSTI]

    Bergeron, Bryan

    This course will show how information technologies (IT) shape and redefine the health care marketplace. Students will learn how IT enhances medical care through: 1) improved economies of scale, 2) greater technical ...

  8. An analysis of factors that influence community college students' attitudes toward technology

    E-Print Network [OSTI]

    Fleming, Kathleen Literski

    2007-04-25T23:59:59.000Z

    This study investigated the factors that influence community college students' attitudes toward technology, particularly in teaching and learning experiences. Studies on post-secondary students' attitudes reported in the literature are limited...

  9. Paper ID #6662 A Follow-Up Study of a First-Year Leadership and Service Learning Module

    E-Print Network [OSTI]

    California at Irvine, University of

    . Her primary interest is in informal learning environments and educational technologies. She currently and Technology Fellow at the Millennium Challenge Corporation (MCC). His research project at MCC fo- cuses Mirzayan Science & Technology Policy fellow within the National Academy of Engineering (NAE) working

  10. CSC412: Uncertainty & Learning in AI . Instructor: Sam Roweis

    E-Print Network [OSTI]

    Roweis, Sam

    1 CSC412: Uncertainty & Learning in AI . Instructor: Sam Roweis . Tutor: Y.W. Teh . Lectures: MW10 inherently stochastic behaviour in the world A B C D E . Databases -- traditional DB technology cannot answer filterting (e.g. Amazon) Other Related Applications . Stochastic Signal Processing -- denoising, source

  11. Interactive learning: Lessons from two hybrids over two Stanley Fields

    E-Print Network [OSTI]

    Dunham, Maitreya

    REVIEW Interactive learning: Lessons from two hybrids over two decades Stanley Fields Howard Hughes the lessons of the two-hybrid approach. These include the value of timeliness in a method's development instructive, provid- ing lessons about the nature and nurture of technology development that I have carried

  12. 1Machine Learning, to appear. Least-Squares Independence Regression

    E-Print Network [OSTI]

    Sugiyama, Masashi

    1Machine Learning, to appear. Least-Squares Independence Regression for Non-Linear Causal Inference of Technology, Japan. sesejun@cs.titech.ac.jp Abstract The discovery of non-linear causal relationship under Causal inference, Non-Linear, Non-Gaussian, Squared-loss mutual information, Least-Squares Independence

  13. LEARNING BY DOING: A STUDENT RUN CONSTRUCTION PROJECT

    E-Print Network [OSTI]

    Schweik, Charles M.

    LEARNING BY DOING: A STUDENT RUN CONSTRUCTION PROJECT #12;PROJECT BREAKDOWN 1.) DESIGN PROCESS 2 Breakdown · Construction Drawings · Structural Beam Reports · State Required Energy Report TECHNOLOGY USED _________________________________________________________ 1 Set of 8 ½" x 11" Prints 1 Copy of Energy Report 1 Set of Structural Beam Reports #12;BEAM REPORT

  14. MSc in Environmental Health The Place of Useful Learning

    E-Print Network [OSTI]

    Mottram, Nigel

    ? Environmental Health is the assessment & management of environmental influences on human health, including study and the corresponding breadth of the degree reflect rapid technological progress. Environmental impact assessmentMSc in Environmental Health The Place of Useful Learning #12;What is Environmental Health

  15. Synergistic Machine Learning: Collaboration and Topology Exploitation in Dynamic Environments

    E-Print Network [OSTI]

    Wagstaff, Kiri L.

    -PI), JPL Researcher in Computer Science · Rick Aster, New Mexico Institute of Mining and Technology (NMTSynergistic Machine Learning: Collaboration and Topology Exploitation in Dynamic Environments NSF: · Terran Lane (PI), Univ. of New Mexico (UNM) Associate Professor of Computer Science · Kiri Wagstaff (co

  16. Foreign Direct Investment, Intra-organizational Proximity, and Technological Capability: The Case of China's Automobile Industry

    E-Print Network [OSTI]

    direct investment (FDI), intra-organizational proximity, and in-house technology development performances partners, the IJV arrangement is likely to create a "passive" learning mode where foreign firms determine-by-doing practices. Accordingly, outward FDI can augment "active" nature in the "passive" learning mode created

  17. Plasma technology directory

    SciTech Connect (OSTI)

    Ward, P.P.; Dybwad, G.L.

    1995-03-01T23:59:59.000Z

    The Plasma Technology Directory has two main goals: (1) promote, coordinate, and share plasma technology experience and equipment within the Department of Energy; and (2) facilitate technology transfer to the commercial sector where appropriate. Personnel are averaged first by Laboratory and next by technology area. The technology areas are accelerators, cleaning and etching deposition, diagnostics, and modeling.

  18. Learning Strategies for Vocabulary Development 105 Learning Strategies for

    E-Print Network [OSTI]

    Chaudhuri, Sanjay

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

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

    E-Print Network [OSTI]

    Sagi, Dov

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

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

    E-Print Network [OSTI]

    Bahk, Saewoong

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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    -learning on college level. One of the main problems is that study material as well as concepts have to be transformed component of the Open Source movement. Key words: distance learning, open source 1. INTRODUCTORY REMARKS of each semester. 2. THE CORE PROBLEM WHEN USING E-LEARNING-TOOLS IN DISTANCE LEARNING Most people

  2. Fujita LaboratoryTokyo Instituteof Technology Tokyo Instituteof Technology

    E-Print Network [OSTI]

    Fujita LaboratoryTokyo Instituteof Technology Tokyo Instituteof Technology Fujita LaboratoryTokyo Institute of Technology Tokyo Institute of Technology 231 #12;Fujita LaboratoryTokyo Instituteof Technology Tokyo Instituteof Technology 2 IT #12;Fujita LaboratoryTokyo Instituteof

  3. PAVEMENT TECHNOLOGY UPDATE This Technology Transfer Program

    E-Print Network [OSTI]

    California at Berkeley, University of

    PAVEMENT TECHNOLOGY UPDATE This Technology Transfer Program publication is funded by the Division by the University of California Pavement Research Center. The University of California Pavement Research Center Using innovative research and sound engineering principles to improve pavement structures, materials

  4. The Knowledge Gradient for Optimal Learning Warren B. Powell

    E-Print Network [OSTI]

    Powell, Warren B.

    of parameters; for online problems, we learn from rewards we are receiving, and we want to strike a balance path through New York City to respond to certain emergencies (e.g. getting a fire truck to city hall the best molecular compound to produce a particular result (curing cancer, storing energy, conducting

  5. BLENDED AND ONLINE LEARNING IN

    E-Print Network [OSTI]

    Ellis, Randy

    ) "Flipped classroom" - focus on active learning and enhanced student engagement in the classroom #12;First dissatisfied with student learning experience #12;Blended Learning Initiative Large, first-year courses student engagement improve student learning outcomes improve knowledge retention #12;Framework for Blended

  6. FACULTY GUIDE Service-Learning

    E-Print Network [OSTI]

    Massachusetts at Lowell, University of

    ?.............................................................. 5 Benefits of Service-Learning..................................... 5 Types of Experiential LearningFACULTY GUIDE to Service-Learning University of Massachuse s Lowell 20132014 #12;2 WELCOME Dear Colleague, Thank you for taking the time to read this introductory guide to service- learning

  7. Northwestern University Information Technology

    E-Print Network [OSTI]

    Shull, Kenneth R.

    ... Integrated Technology Classrooms Online Lectures Collaborative Course Management Tools ...in any teaching environment Classroom Laptop Mobile Device www.it.northwestern.edu NUITAcademic&ResearchTechnologiesNorthwestern University Information Technology (NUIT) is committed to supporting faculty research

  8. Time series association learning

    DOE Patents [OSTI]

    Papcun, George J. (Santa Fe, NM)

    1995-01-01T23:59:59.000Z

    An acoustic input is recognized from inferred articulatory movements output by a learned relationship between training acoustic waveforms and articulatory movements. The inferred movements are compared with template patterns prepared from training movements when the relationship was learned to regenerate an acoustic recognition. In a preferred embodiment, the acoustic articulatory relationships are learned by a neural network. Subsequent input acoustic patterns then generate the inferred articulatory movements for use with the templates. Articulatory movement data may be supplemented with characteristic acoustic information, e.g. relative power and high frequency data, to improve template recognition.

  9. 2010 DOE EERE Vehicle Technologies Program Merit Review ? Technology...

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

    Technology Integration 2010 DOE EERE Vehicle Technologies Program Merit Review Technology Integration Technology integration merit review results 2010amr08.pdf More...

  10. Vehicle Technologies Office: 2010 Fuel Technologies R&D Annual...

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

    Fuel Technologies R&D Annual Progress Report Vehicle Technologies Office: 2010 Fuel Technologies R&D Annual Progress Report The Fuels Technologies subprogram supports fuels and...

  11. Parameter 4 | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorthOlympiaAnalysis) JumpPalcan sPaquin Energy andParameter

  12. Alternative technologies to steam-methane reforming

    SciTech Connect (OSTI)

    Tindall, B.M.; Crews, M.A. [Howe-Baker Engineers, Inc., Tyler, TX (United States)

    1995-11-01T23:59:59.000Z

    Steam-methane reforming (SMR) has been the conventional route for hydrogen and carbon monoxide production from natural gas feedstocks. However, several alternative technologies are currently finding favor for an increasing number of applications. The competing technologies include: steam-methane reforming combined with oxygen secondary reforming (SMR/O2R); autothermal reforming (ATR); thermal partial oxidation (POX). Each of these alternative technologies uses oxygen as a feedstock. Accordingly, if low-cost oxygen is available, they can be an attractive alternate to SMR with natural gas feedstocks. These technologies are composed technically and economically. The following conclusions can be drawn: (1) the SMR/O2R, ATR and POX technologies can be attractive if low-cost oxygen is available; (2) for competing technologies, the H{sub 2}/CO product ratio is typically the most important process parameter; (3) for low methane slip, the SMR/O2R, ATR and POX technologies are favored; (4) for full CO{sub 2} recycle, POX is usually better than ATR; (5) relative to POX, the ATR is a nonlicensed technology that avoids third-party involvement; (6) economics of each technology are dependent on the conditions and requirements for each project and must be evaluated on a case-by-case basis.

  13. Vehicle Technologies Office: News

    Broader source: Energy.gov [DOE]

    EERE intends to issue, on behalf of its Fuel Cell Technologies Office, a Funding Opportunity Announcement (FOA) entitled "Fuel Cell Technologies Incubator: Innovations in Fuel Cell and Hydrogen...

  14. Storage and IO Technology

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

    Burst Buffer User Defined Images Archive Home R & D Storage and IO Technologies Storage and IO Technologies Burst Buffer NVRAM and Burst Buffer Use Cases In collaboration...

  15. Technology Integration Overview

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

    Technology Integration Overview Dennis A. Smith - Clean Cities Deployment Connie Bezanson - Vehicle Education June 17, 2014 VEHICLE TECHNOLOGIES OFFICE This presentation does not...

  16. Integrated Technology Deployment

    Office of Energy Efficiency and Renewable Energy (EERE)

    Integrated technology deployment is a comprehensive approach to implementing solutions that increase the use of energy efficiency and renewable energy technologies. Federal, state, and local...

  17. Technology Transfer Reports

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

    Advanced Research Projects Agency-Energy (ARPA-E) Oil & Gas Technology Transfer Initiatives USEFUL LINKS Association of University Technology Managers (AUTM) Federal Laboratory...

  18. Green Purchasing & Green Technology

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

    Purchasing & Technology Goals 6 & 7: Green Purchasing & Green Technology Our goal is to purchase and use environmentally sustainable products whenever possible and to implement...

  19. Geothermal Technologies Program Overview

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

    Jay Nathwani Acting Program Manager Geothermal Technologies Program Office of Energy Efficiency and Renewable Energy The Geothermal Technologies Program Overview May 18 2010 Energy...

  20. States & Emerging Energy Technologies

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

    operations and maintenance, and occupant impact, so not only trying to quantify building energy or technology energy performance, but also the impacts of that technology on users....

  1. Carbon Fiber Technology Facility

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

    The Carbon Fiber Technology Facility is relevant in proving the scale- up of low-cost carbon fiber precursor materials and advanced manufacturing technologies * Significant...

  2. Fuel & Lubricant Technologies

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

    May 15, 2012 Kevin Stork, Team Lead VTP Annual Merit Review VTP Fuel & Lubricant Technologies eere.energy.gov 2 | Vehicle Technologies Program Mission Enable advanced combustion...

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

    E-Print Network [OSTI]

    Seokwon Yoo; Jeongho Bang; Changhyoup Lee; Jinhyoung Lee

    2014-10-14T23:59:59.000Z

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

  4. Morgantown Energy Technology Center, technology summary

    SciTech Connect (OSTI)

    Not Available

    1994-06-01T23:59:59.000Z

    This document has been prepared by the DOE Environmental Management (EM) Office of Technology Development (OTD) to highlight its research, development, demonstration, testing, and evaluation activities funded through the Morgantown Energy Technology Center (METC). Technologies and processes described have the potential to enhance DOE`s cleanup and waste management efforts, as well as improve US industry`s competitiveness in global environmental markets. METC`s R&D programs are focused on commercialization of technologies that will be carried out in the private sector. META has solicited two PRDAs for EM. The first, in the area of groundwater and soil technologies, resulted in twenty-one contact awards to private sector and university technology developers. The second PRDA solicited novel decontamination and decommissioning technologies and resulted in eighteen contract awards. In addition to the PRDAs, METC solicited the first EM ROA in 1993. The ROA solicited research in a broad range of EM-related topics including in situ remediation, characterization, sensors, and monitoring technologies, efficient separation technologies, mixed waste treatment technologies, and robotics. This document describes these technology development activities.

  5. Technology Deployment List | Department of Energy

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

    Technologies Technology Deployment Technology Deployment List Technology Deployment List The Federal Energy Management Program's (FEMP) Technology Deployment List features...

  6. Computers for Learning

    Broader source: Energy.gov [DOE]

    Through Executive Order 12999, the Computers for Learning Program was established to provide Federal agencies a quick and easy system for donating excess and surplus computer equipment to schools...

  7. Experiments in service learning

    E-Print Network [OSTI]

    Banzaert, Amy, 1976-

    2006-01-01T23:59:59.000Z

    Service learning, an educational method that involves the application of academic work to projects that benefit under-served communities, was explored in two complementary forms. First, the development of an alternative ...

  8. Robot learning [TC Spotlight

    E-Print Network [OSTI]

    Tedrake, Russell Louis

    Creating autonomous robots that can learn to act in unpredictable environments has been a long-standing goal of robotics, artificial intelligence, and the cognitive sciences. In contrast, current commercially available ...

  9. Technology transfer | Argonne National Laboratory

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

    Technology transfer Technology Development and Commercialization at Argonne Read more about Technology Development and Commercialization at Argonne New Director to lead Technology...

  10. The Impact of Uncertain Physical Parameters on HVAC Demand Response

    SciTech Connect (OSTI)

    Sun, Yannan; Elizondo, Marcelo A.; Lu, Shuai; Fuller, Jason C.

    2014-03-01T23:59:59.000Z

    HVAC units are currently one of the major resources providing demand response (DR) in residential buildings. Models of HVAC with DR function can improve understanding of its impact on power system operations and facilitate the deployment of DR technologies. This paper investigates the importance of various physical parameters and their distributions to the HVAC response to DR signals, which is a key step to the construction of HVAC models for a population of units with insufficient data. These parameters include the size of floors, insulation efficiency, the amount of solid mass in the house, and efficiency of the HVAC units. These parameters are usually assumed to follow Gaussian or Uniform distributions. We study the effect of uncertainty in the chosen parameter distributions on the aggregate HVAC response to DR signals, during transient phase and in steady state. We use a quasi-Monte Carlo sampling method with linear regression and Prony analysis to evaluate sensitivity of DR output to the uncertainty in the distribution parameters. The significance ranking on the uncertainty sources is given for future guidance in the modeling of HVAC demand response.

  11. Sharing Lessons Learned

    SciTech Connect (OSTI)

    Mohler, Bryan L.

    2004-09-01T23:59:59.000Z

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

  12. Learning Innate Face Preferences

    E-Print Network [OSTI]

    2003-01-01T23:59:59.000Z

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

  13. High Efficiency Engine Technologies Program

    SciTech Connect (OSTI)

    Rich Kruiswyk

    2010-07-13T23:59:59.000Z

    Caterpillar's Product Development and Global Technology Division carried out a research program on waste heat recovery with support from DOE (Department of Energy) and the DOE National Energy Technology Laboratory. The objective of the program was to develop a new air management and exhaust energy recovery system that would demonstrate a minimum 10% improvement in thermal efficiency over a base heavy-duty on-highway diesel truck engine. The base engine for this program was a 2007 C15 15.2L series-turbocharged on-highway truck engine with a LPL (low-pressure loop) exhaust recirculation system. The focus of the program was on the development of high efficiency turbomachinery and a high efficiency turbocompound waste heat recovery system. The focus of each area of development was as follows: (1) For turbine stages, the focus was on investigation and development of technologies that would improve on-engine exhaust energy utilization compared to the conventional radial turbines in widespread use today. (2) For compressor stages, the focus was on investigating compressor wheel design parameters beyond the range typically utilized in production, to determine the potential efficiency benefits thereof. (3) For turbocompound, the focus was on the development of a robust bearing system that would provide higher bearing efficiencies compared to systems used in turbocompound power turbines in production. None of the turbocharger technologies investigated involved addition of moving parts, actuators, or exotic materials, thereby increasing the likelihood of a favorable cost-value tradeoff for each technology. And the turbocompound system requires less hardware addition than competing bottoming cycle technologies, making it a more attractive solution from a cost and packaging standpoint. Main outcomes of the program are as follows: (1) Two turbine technologies that demonstrated up to 6% improvement in turbine efficiency on gas stand and 1-3% improvement in thermal efficiency in on-engine testing. (2) A compressor technology that demonstrated 1.5% improvement in compressor efficiency on gas stand compared to production available compressors. (3) A power turbine with high efficiency bearing system that demonstrated excellent rotordynamic stability throughout the required speed range, up to 60,000 rpm. (4) A predicted improvement (using engine simulation) in engine thermal efficiency of 7% at the peak torque design point, when combining the technologies developed in this program.

  14. Recent Research Developments in Learning Technologies (2005) 1 FORMATEX 2005

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    their pedagogical solutions in computer understandable terms instead of resorting to language didactics. These flaws mostly stem from the divergences between computer science's and didactics' view of the notion interpretation, while, for language didactics, the form only exists through its properties and the concepts

  15. Developmentally Appropriate Learning: Implications for Early Childhood Technology Education,

    E-Print Network [OSTI]

    Wyeth, P.A.; Purchase, H.C.

    Wyeth,P.A. Purchase,H.C. Proceedings of the Ninth International PEG Conference, University of Exeter Academic Press

  16. Energy Systems Technology - A Development in Experiential Learning 

    E-Print Network [OSTI]

    Tumber, A. J.

    1980-01-01T23:59:59.000Z

    situation changed International Harvester and Proctor and considerably during the seventies and has Gamble are some of the international presented us with a tremendous challenge. companies with plants in Hamilton. In The gap between supply and demand... technologist was perceived as a member of the plant engineer ing department or as part of the staff of the engineer responsible for energy manage ment. Our model was a company which spends from one to five million dollars annually on fuel because we felt...

  17. Learning About Wind Turbine Technology, Motors and Generators...

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

    Subscribe to all future posts Who Steven Wik What Energy Electrical Machines Generators Smart Grid Why Building Subscribe You Might Also Like MunichinteriorV 10 Years ON: From...

  18. NREL: Learning - National Wind Technology Center Video (Text Version)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid Integration NREL isDataWorking withFuel Cell

  19. Measuring neutrino oscillation parameters using $\

    SciTech Connect (OSTI)

    Backhouse, Christopher James; /Oxford U.

    2011-02-01T23:59:59.000Z

    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.

  20. Formative Assessment, Equity, and Opportunity to Learn

    E-Print Network [OSTI]

    Hilberg, Soleste

    2012-01-01T23:59:59.000Z

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

  1. LESSONS LEARNED AND BEST PRACTICES PROGRAM MANUAL

    E-Print Network [OSTI]

    Gravois, Melanie C.

    2007-01-01T23:59:59.000Z

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

  2. Unsupervised Learning of Object Descriptors and Compositions

    E-Print Network [OSTI]

    Ye, Xingyao

    2012-01-01T23:59:59.000Z

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

  3. EINDHOVEN UNIVERSITY OF TECHNOLOGY Department of Mathematics and Computer Science

    E-Print Network [OSTI]

    Eindhoven, Technische Universiteit

    EINDHOVEN UNIVERSITY OF TECHNOLOGY Department of Mathematics and Computer Science CASA-Report 10 and Applications Department of Mathematics and Computer Science Eindhoven University of Technology P.O. Box 513 5600 MB Eindhoven, The Netherlands ISSN: 0926-4507 #12;#12;Design Parameters for a Siphon System Frank

  4. EINDHOVEN UNIVERSITY OF TECHNOLOGY Department of Mathematics and Computer Science

    E-Print Network [OSTI]

    Eindhoven, Technische Universiteit

    EINDHOVEN UNIVERSITY OF TECHNOLOGY Department of Mathematics and Computer Science CASA-Report 14 and Applications Department of Mathematics and Computer Science Eindhoven University of Technology P.O. Box 513 5600 MB Eindhoven, The Netherlands ISSN: 0926-4507 #12;#12;PARAMETER ESTIMATION OF SOCIAL FORCES

  5. ResearchMICHIGAN TECHNOLOGICAL UNIVERSITY > 2012 The comeback ooze

    E-Print Network [OSTI]

    MICHIGAN TECHNOLOGICAL UNIVERSITY > 2012 Sanctuary in paradise Rare Hawaiian birds find refuge in tiny island forests, Sarah Bird. Send your comments to the editor at mlgoodri@mtu.edu. Learn more about research at Michigan for bigger people--by design Rising sun A new dawn for solar power 16 19 20 3RESE ARCH 2012 | Michigan

  6. THE IMPOSSIBLE Pohang University of Science and Technology

    E-Print Network [OSTI]

    Kim, Jae-Hoon

    with a focus on student-centered learning, excellent research, and well-oiled academia-industry collaboration keenly needed technological developments and human resources to lead them. POSTECH was the first research of Education and Human Resources Development 7 2002. 08. 17 Ranked 28th in the World University Rankings

  7. Migrating a Domain-Specific Modeling Infrastructure to MDA Technology

    E-Print Network [OSTI]

    van Deursen, Arie

    Migrating a Domain-Specific Modeling Infrastructure to MDA Technology Duncan Doyle1,2, Hans Geers2 be migrated to models conform the MDA, in order to benefit from the range of MDA standards. We describe of the lessons learned. 1 Introduction The MDA promise of model-driven development is becoming a reality

  8. How Humanities Students Cope with the Technology of Virtual Harlem

    E-Print Network [OSTI]

    Johnson, Andrew

    by downloading course materials from the Internet and viewing video streams of lectures. For example, in early technologies to foster positive interdependence between collaborative distance-learning classrooms where of this research will include the identification of potential pitfalls, and the development of practical guidelines

  9. IBM System Storage Product Guide IBM Systems and Technology Group

    E-Print Network [OSTI]

    IBM System Storage Product Guide IBM Systems and Technology Group #12;2 Today, information has, reduce storage and archiving costs and enable continuous access to information in support of business requirements. Learn more about IBM Information Infrastructure, including the full range of data storage

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

    Broader source: Energy.gov [DOE]

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

  11. Department of Information Technology

    E-Print Network [OSTI]

    Flener, Pierre

    Department of Information Technology Human-Computer Interaction http://www.it.uu.se/research/hci #12;InformationTechnology-HCI Department of Information Technology | www.it.uu.se Today's menu Who we and collaboration Teaching KoF 2007, effects? Vision and plans Challenges #12;InformationTechnology

  12. The Technology & Innovation Centre

    E-Print Network [OSTI]

    Mottram, Nigel

    The Technology & Innovation Centre #12;The Technology and Innovation Centre revolutionises the way in Scotland and further afield ­ including power and energy, renewable technologies, photonics and sensors, for industry, the Technology and Innovation Centre has already attracted major partners including Scottish

  13. Predictive Maintenance Technologies

    Broader source: Energy.gov [DOE]

    Several diagnostic technologies and best practices are available to assist Federal agencies with predictive maintenance programs.

  14. Bridging the Technology Innovation

    E-Print Network [OSTI]

    Wirosoetisno, Djoko

    Bridging the Technology Innovation Gap Dr Ceri Williams Director of Medical Technologies Innovation Technologies #12;Distinctive Approach to Translating ResearchWe support innovation to reach TRL 5 enable real and Knowledge Centre #12;What is the Medical Technologies IKC? · All activities centre on research translation

  15. System and method for motor parameter estimation

    DOE Patents [OSTI]

    Luhrs, Bin; Yan, Ting

    2014-03-18T23:59:59.000Z

    A system and method for determining unknown values of certain motor parameters includes a motor input device connectable to an electric motor having associated therewith values for known motor parameters and an unknown value of at least one motor parameter. The motor input device includes a processing unit that receives a first input from the electric motor comprising values for the known motor parameters for the electric motor and receive a second input comprising motor data on a plurality of reference motors, including values for motor parameters corresponding to the known motor parameters of the electric motor and values for motor parameters corresponding to the at least one unknown motor parameter value of the electric motor. The processor determines the unknown value of the at least one motor parameter from the first input and the second input and determines a motor management strategy for the electric motor based thereon.

  16. Soil washing technology evaluation

    SciTech Connect (OSTI)

    Suer, A.

    1995-04-01T23:59:59.000Z

    Environmental Restoration Engineering (ERE) continues to review innovative, efficient, and cost effective technologies for SRS soil and/or groundwater remediation. As part of this effort, this technical evaluation provides review and the latest information on the technology for SRS soil remediation. Additional technology evaluation reports will be issued periodically to update these reports. The purpose of this report is to review the soil washing technology and its potential application to SRS soil remediation. To assess whether the Soil Washing technology is a viable option for SRS soil remediation, it is necessary to review the technology/process, technology advantages/limitations, performance, applications, and cost analysis.

  17. Technology in water conservation 

    E-Print Network [OSTI]

    Finch, Dr. Calvin

    2013-01-01T23:59:59.000Z

    2 tx H2O Summer 2013 Column by Dr. Calvin Finch, Water Conservation and Technology Center director WAT E R CONSERVATION & TECHNOLOGY CENTER Securing Our Water Future It is not unusual for individuals to describe water conservation as a... conservation, however, is just as dependent on technological factors. #27;e technology does not have to be complex to be important #20; consider high e#23;ciency toilets and showerheads. #27;ese everyday appliances largely rely on simple technologies...

  18. Technology in water conservation

    E-Print Network [OSTI]

    Finch, Dr. Calvin

    2013-01-01T23:59:59.000Z

    2 tx H2O Summer 2013 Column by Dr. Calvin Finch, Water Conservation and Technology Center director WAT E R CONSERVATION & TECHNOLOGY CENTER Securing Our Water Future It is not unusual for individuals to describe water conservation as a... conservation, however, is just as dependent on technological factors. #27;e technology does not have to be complex to be important #20; consider high e#23;ciency toilets and showerheads. #27;ese everyday appliances largely rely on simple technologies...

  19. Technology Overview Using Case Studies of Alternative Landfill Technologies

    E-Print Network [OSTI]

    Zornberg, Jorge G.

    Technology Overview Using Case Studies of Alternative Landfill Technologies and Associated Regulatory Topics Prepared by Interstate Technology & Regulatory Council Alternative Landfill Technologies of Alternative Landfill Technologies and Associated Regulatory Topics March 2003 Prepared by Interstate

  20. Building Technologies Office Window and Envelope Technologies...

    Energy Savers [EERE]

    by 2000 (10.7 billion in current dollars) Source: American Energy Innovation Council Case Studies on the Government's Role in Energy Technology Innovation "Low-Emissivity...

  1. NATIONAL ENERGY TECHNOLOGY LABORATORY Technology Transfer Novel...

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

    for "Outstanding Commercialization Success" from the Federal Laboratory Consortium for Technology Transfer. On October 4, 2012, the NETL team who developed this alloy received...

  2. Vehicle Technologies Office: Graduate Automotive Technology Education...

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

    Centers of Excellence to provide future generations of engineers and scientists with knowledge and skills in advanced automotive technologies. By funding curriculum...

  3. Vehicle Technologies Office: Electric Drive Technologies | Department...

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

    Electronics and Electric Motor R&D North American Power Electronics Supply Chain Analysis Benchmarking EV and HEV Technology View all presentations from the 2014 Merit Review....

  4. Roadmap: Theatre Studies Design and Technology Bachelor of Fine Arts [CA-BFA-THEA-DT

    E-Print Network [OSTI]

    Sheridan, Scott

    Roadmap: Theatre Studies ­ Design and Technology ­ Bachelor of Fine Arts [CA-BFA-THEA-DT] College This roadmap is a recommended semester-by-semester plan of study for this major. However, courses learning requirement and counts in the major GPA #12;Roadmap: Theatre Studies ­ Design and Technology

  5. High-Tech Tools for Teaching Physics: the Physics Education Technology Project

    E-Print Network [OSTI]

    Colorado at Boulder, University of

    MS #06-020 High-Tech Tools for Teaching Physics: the Physics Education Technology Project Noah Teaching and Learning September 15, 2006 #12;MS #06-020 High-Tech Tools for Teaching Physics: the Physics the Physics Education Technology (PhET) project, identifies features of these educational tools

  6. The DOE Hydrogen Baseline Survey: Assessing Knowledge and Opinions about Hydrogen Technology

    E-Print Network [OSTI]

    and don't know about the hydrogen economy and hydrogen technologies. The data will ­ Guide educationThe DOE Hydrogen Baseline Survey: Assessing Knowledge and Opinions about Hydrogen Technology Christy Cooper U.S. Department of Energy Hydrogen Program #12;Overview Purpose: To learn what people know

  7. Compact organizational space and technological catch-up: Comparison of China's

    E-Print Network [OSTI]

    Organizational learning Proximity Shanghai Automotive Industry Corporation Technological capability a b s t r a c Automotive Industry Corporation (SAIC) surpasses its two local rivals in terms of technolog- ical automotive groups* Kyung-Min Nam *Reprinted from Research Policy, online first (doi: 10.1002/2013EF000214

  8. Hands-On Component-Level Automation Courses for Technology and Engineering Students

    E-Print Network [OSTI]

    Allen, Gale

    -level industrial automation at Minnesota State University, Mankato. In each of the past two years, senior studentsHands-On Component-Level Automation Courses for Technology and Engineering Students Gale R. Allen Technology (CET) have taken two semesters of training in automation. The students learned details

  9. nature methods | VOL.8 NO.2 | FEBRUARY 2011 | 117 technology feature

    E-Print Network [OSTI]

    Cai, Long

    nature methods | VOL.8 NO.2 | FEBRUARY 2011 | 117 technology feature Unlike genes, transcripts that work for one class of metabolites are often useless for others. With nucleic acids and proteins one enrichment and separation technologies. "Over the last 10 years, we have learned that there is no one

  10. National Fuel Cell Electric Vehicle Learning Demonstration Final Report

    SciTech Connect (OSTI)

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

    2012-07-01T23:59:59.000Z

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

  11. Learning with online constraints : shifting concepts and active learning

    E-Print Network [OSTI]

    Monteleoni, Claire E. (Claire Elizabeth), 1975-

    2006-01-01T23:59:59.000Z

    Many practical problems such as forecasting, real-time decision making, streaming data applications, and resource-constrained learning, can be modeled as learning with online constraints. This thesis is concerned with ...

  12. Use of the Hebb-Williams closed-field maze to determine learning ability in yearling horses

    E-Print Network [OSTI]

    McCall, Cynthia Ann

    1979-01-01T23:59:59.000Z

    ve fillies whi ch had never before been used on any learning study were compared. After a 10-day adjustment and training period, horses were presented a new problem each day for 12 days and were given eight trials on each problem. The following... learning parameters were calculated: (1) total excess entry scores (TExES), (2) rapi dity of learning score (XR), the percent of total excess entries occurring during the first four trials of each problem; (3) error elimination score (EES...

  13. SHARED TECHNOLOGY TRANSFER PROGRAM

    SciTech Connect (OSTI)

    GRIFFIN, JOHN M. HAUT, RICHARD C.

    2008-03-07T23:59:59.000Z

    The program established a collaborative process with domestic industries for the purpose of sharing Navy-developed technology. Private sector businesses were educated so as to increase their awareness of the vast amount of technologies that are available, with an initial focus on technology applications that are related to the Hydrogen, Fuel Cells and Infrastructure Technologies (Hydrogen) Program of the U.S. Department of Energy. Specifically, the project worked to increase industry awareness of the vast technology resources available to them that have been developed with taxpayer funding. NAVSEA-Carderock and the Houston Advanced Research Center teamed with Nicholls State University to catalog NAVSEA-Carderock unclassified technologies, rated the level of readiness of the technologies and established a web based catalog of the technologies. In particular, the catalog contains technology descriptions, including testing summaries and overviews of related presentations.

  14. Adding a Learning Module -1 Adding a Learning Module

    E-Print Network [OSTI]

    Cui, Yan

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

  15. : Abduction, Learning. A System for Learning Abductive Logic

    E-Print Network [OSTI]

    Dix, Juergen

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

  16. Language and Learning in the Digital Age

    E-Print Network [OSTI]

    Rama, Paul S.

    2012-01-01T23:59:59.000Z

    projects examine the types of learning that occur thoughis even possible, this type of learning into schools? To

  17. The Alameda Corridor: Lessons Learned

    E-Print Network [OSTI]

    Bertini, Robert L.

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

  18. Discrimination learning in horses

    E-Print Network [OSTI]

    Yeates, B. F

    1976-01-01T23:59:59.000Z

    Science DISCRIMINATION LEARNING IN HORSES A Thesis by B. F. Yeates Approved as to styIe aod content by: ~C airman oi . , Ommlttec. g ~liemoer Pe comber 1 S76 ABSTRACT Discrimination Learning in Horses (December 1976) B. F. Yeates, B. S. , Texas... was subsequently given 7 days discrimination training on each of' three different stimuli in three successive periods. Ti percert correct response" vtas used to measure period, stimuli and horse efforts. iiean percentages for the three periods were 42? 51. 9...

  19. SP.718 Special Topics at Edgerton Center: D-Lab Health: Medical Technologies for the Developing World, Spring 2009

    E-Print Network [OSTI]

    Gomez-Marquez, Jose

    D-Lab Health provides multi-disciplinary approach to global health technology design via guest lectures and a major project based on fieldwork. We will explore the current state of global health challenges and learn how ...

  20. How Minds Work Memories and Learning

    E-Print Network [OSTI]

    Memphis, University of

    & Learning 7 Types of Human Learning Requiring Distinct Mechanisms · Perceptual learning ­ Identify1 How Minds Work Memories and Learning Stan Franklin Computer Science Division & Institute for Intelligent Systems The University of Memphis #12;How Minds Work: Memory & Learning 2 Human Learning

  1. Training & Technology Solutions Queens College ~ Office of Converging Technologies ~ Training & Technology Solutions

    E-Print Network [OSTI]

    Johnson Jr.,, Ray

    Training & Technology Solutions Queens College ~ Office of Converging Technologies ~ Training & Technology Solutions 718-997-4875 ~ training@qc.cuny.edu ~ I-Bldg 214 Advisor Center Navigation: Login #12;Training & Technology Solutions Queens College ~ Office of Converging Technologies ~ Training

  2. The Effect of Government Actions on Environmental Technology Innovation: Applications to the Integrated Assessment of Carbon Sequestration Technologies

    SciTech Connect (OSTI)

    Rubin, E. S.; Hounshell, D. A.; Yeh, S.; Taylor, M.; Schrattenholzer, L.; Riahi, K.; Barreto, L.; Rao, S.

    2004-01-15T23:59:59.000Z

    This project seeks to improve the ability of integrated assessment models (IA) to incorporate changes in technology, especially environmental technologies, cost and performance over time. In this report, we present results of research that examines past experience in controlling other major power plant emissions that might serve as a reasonable guide to future rates of technological progress in carbon capture and sequestration (CCS) systems. In particular, we focus on U.S. and worldwide experience with sulfur dioxide (SO{sub 2}) and nitrogen oxide (NO{sub x}) control technologies over the past 30 years, and derive empirical learning rates for these technologies. The patterns of technology innovation are captured by our analysis of patent activities and trends of cost reduction over time. Overall, we found learning rates of 11% for the capital costs of flue gas desulfurization (FGD) system for SO{sub 2} control, and 13% for selective catalytic reduction (SCR) systems for NO{sub x} control. We explore the key factors responsible for the observed trends, especially the development of regulatory policies for SO{sub 2} and NO{sub x} control, and their implications for environmental control technology innovation.

  3. Writing and Assessing Learning Outcomes

    E-Print Network [OSTI]

    Fernandez, Eduardo

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

  4. Cognitive Effects of Multimedia Learning

    E-Print Network [OSTI]

    Gallo, Linda C.

    Cognitive Effects of Multimedia Learning Robert Z. Zheng University of Utah, USA Hershey · New York of multimedia learning / Robert Zheng, editor. p. cm. Includes bibliographical references and index. Summary: "This book identifies the role and function of multimedia in learning through a collection of research

  5. Applied inductive learning Louis Wehenkel

    E-Print Network [OSTI]

    Wehenkel, Louis

    problems 20 2.3.1 Classes 20 2.3.2 Types of classi cation problems 20 2.3.3 Learning and test sets 21 2Applied inductive learning Louis Wehenkel University of Li`ege Faculty of Applied Sciences Course;#12;APPLIED INDUCTIVE LEARNING COURSE NOTES : OCTOBER 2000 LOUIS A. WEHENKEL University of Li#12;ege

  6. Applied inductive learning Louis Wehenkel

    E-Print Network [OSTI]

    Wehenkel, Louis

    .3.2 Types of classification problems 20 2.3.3 Learning and test sets 21 2.3.4 Decision or classificationApplied inductive learning Louis Wehenkel University of Liâ??ege Faculty of Applied Sciences Courseâ??e'' #12; #12; APPLIED INDUCTIVE LEARNING COURSE NOTES : OCTOBER 2000 LOUIS A. WEHENKEL University of Li

  7. Evolution, Learning & Information Brian Skyrms

    E-Print Network [OSTI]

    Barrett, Jeffrey A.

    SIGNALS Evolution, Learning & Information Brian Skyrms #12;Signals: Evolution, Learning. The Flow of Information 4. Evolution 5. Evolution in Lewis Signaling Games 6. Deception 7. Learning 8 of evolution by differential reproduction and natural variation. In particular we use models of replicator

  8. Hybrid Machine Learning Princeton University

    E-Print Network [OSTI]

    Mohri, Mehryar

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

  9. Information systems and technology transfer programs on geothermal energy and other renewable sources of energy

    SciTech Connect (OSTI)

    Lippmann, M.J.; Antunez, E.

    1996-01-01T23:59:59.000Z

    In order to remain competitive, it is necessary to stay informed and use the most advanced technologies available. Recent developments in communication, like the Internet and the World Wide Web, enormously facilitate worldwide data and technology transfer. A compilation of the most important sources of data on renewable energies, especially geothermal, as well as lists of relevant technology transfer programs are presented. Information on how to gain access to, and learn more about them, is also given.

  10. Information systems and technology transfer programs on geothermal energy and other renewable sources of energy

    SciTech Connect (OSTI)

    Lippmann, Marcelo J.; Antunez, Emilio u.

    1996-01-24T23:59:59.000Z

    In order to remain competitive it is necessary to stay informed and use the most advanced technologies available. Recent developments in communication, like the Internet and the World Wide Web, enormously facilitate worldwide data and technology transfer. A compilation of the most important sources of data on renewable energies, especially geothermal, as well as lists of relevant technology transfer programs are presented. Information on how to gain access to, and learn more about them is also given.

  11. The implementation of state-wide curriculum change in technology education

    E-Print Network [OSTI]

    Boser, Richard Allan

    1989-01-01T23:59:59.000Z

    for the Implementation Procedures Recommended by Kelly (1986) 65 CHAPTER I INTRODUCTION Morison (1966) suggested that the underlying assumption of Western civilization is that society must adjust to the changes inherent in new technologies. According to Morison... graduates "to live, learn, and earn in a technological world" (Good, 1985, p. 16). According to Bender (1982), the focus of technology education is distinctly different from that of traditional industrial arts: "programs have been changed from...

  12. Materials Science and Technology Teachers Handbook

    SciTech Connect (OSTI)

    Wieda, Karen J.; Schweiger, Michael J.; Bliss, Mary; Pitman, Stan G.; Eschbach, Eugene A.

    2008-09-04T23:59:59.000Z

    The Materials Science and Technology (MST) Handbook was developed by Pacific Northwest National Laboratory, in Richland, Washington, under support from the U.S. Department of Energy. Many individuals have been involved in writing and reviewing materials for this project since it began at Richland High School in 1986, including contributions from educators at the Northwest Regional Education Laboratory, Central Washington University, the University of Washington, teachers from Northwest Schools, and science and education personnel at Pacific Northwest National Laboratory. Support for its development was also provided by the U.S. Department of Education. This introductory course combines the academic disciplines of chemistry, physics, and engineering to create a materials science and technology curriculum. The course covers the fundamentals of ceramics, glass, metals, polymers and composites. Designed to appeal to a broad range of students, the course combines hands-on activities, demonstrations and long term student project descriptions. The basic philosophy of the course is for students to observe, experiment, record, question, seek additional information, and, through creative and insightful thinking, solve problems related to materials science and technology. The MST Teacher Handbook contains a course description, philosophy, student learning objectives, and instructional approach and processes. Science and technology teachers can collaborate to build the course from their own interests, strengths, and experience while incorporating existing school and community resources. The course is intended to meet local educational requirements for technology, vocational and science education.

  13. Utilities Inspection Technologies

    E-Print Network [OSTI]

    Messock, R. K.

    Preventive and predictive maintenance programs are enhanced by using various inspection technologies to detect problems and potential failures before catastrophic failure. This paper discusses successful inspection technologies that have been...

  14. Technology Readiness Assessment Guide

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

    2011-09-15T23:59:59.000Z

    The Guide assists individuals and teams involved in conducting Technology Readiness Assessments (TRAs) and developing Technology Maturation Plans (TMPs) for the DOE capital asset projects subject to DOE O 413.3B. Cancels DOE G 413.3-4.

  15. UNIVERSITY of STRATHCLYDE TECHNOLOGY &

    E-Print Network [OSTI]

    Mottram, Nigel

    electricity networks and distribution systems, through to using smart grid technologies for more effective of dynamic collaborations delivering productive outcomes. #12;#12;LOW CARBON POWER AND ENERGY FUTURE CITIES Advanced Manufacturing Future Cities Health Technologies Working collaboratively, programmes within

  16. 2014 Annual Merit Review, Vehicle Technologies Office - 08 Technology...

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

    -1 8. Technology Integration The Technology Integration subprogram accelerates the adoption and use of alternative fuel and advanced technology vehicles to help meet national...

  17. DOE Vehicle Technologies Program 2009 Merit Review Report - Technology...

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

    Integration and Education DOE Vehicle Technologies Program 2009 Merit Review Report - Technology Integration and Education Merit review of DOE Vehicle Technologies Program research...

  18. Vehicle Technologies Office: 2013 Fuel and Lubricant Technologies...

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

    Fuel and Lubricant Technologies R&D Annual Progress Report Vehicle Technologies Office: 2013 Fuel and Lubricant Technologies R&D Annual Progress Report This report describes the...

  19. Vehicle Technologies Office: 2008 Oak Ridge Transportation Technology...

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

    Oak Ridge Transportation Technology Program Annual Report Vehicle Technologies Office: 2008 Oak Ridge Transportation Technology Program Annual Report ornlttpreportfy08.pdf More...

  20. Does Doctrine Drive Technology or Does Technology Drive Doctrine?

    E-Print Network [OSTI]

    Blasko, Dennis

    2010-01-01T23:59:59.000Z

    Brief No. 4 September 2010 Does Doctrine Drive Technology orDoes Technology Drive Doctrine? Dennis Blasko Summary Wthat emphasizes strategy over technology and may hold some

  1. Technology Innovations and Experience Curves for Nitrogen Oxides Control Technologies

    E-Print Network [OSTI]

    Yeh, Sonia; Rubin, Edward S.; Taylor, Margaret R.

    2007-01-01T23:59:59.000Z

    including issues of technology and cost un- certainties, areon NO x Control Technologies and Cost Effectiveness forand other factors on technology cost trends (hence, the

  2. Software Carpentry: Lessons Learned

    E-Print Network [OSTI]

    Greg Wilson

    2014-01-29T23:59:59.000Z

    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.

  3. Software Carpentry: Lessons Learned

    E-Print Network [OSTI]

    Wilson, Greg

    2013-01-01T23:59:59.000Z

    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.

  4. Reflecting to learn mathematics

    E-Print Network [OSTI]

    Rachael Kenney

    2013-08-09T23:59:59.000Z

    integrating reflective practice and writing to learn mathematics (WTLM) in order ... concern or interest as well as potential explanations for and solutions to ..... teacher, I know I need to be universally good in both language and numbers. ... The PSMTs' reflections also revealed that completing the prompts encouraged them to.

  5. States & Emerging Energy Technologies

    Broader source: Energy.gov [DOE]

    This presentation, given through the DOE's Technical Assitance Program (TAP), provides information on States & Emerging Energy Technologies.

  6. Deployment of Emerging Technologies

    Broader source: Energy.gov [DOE]

    Presentation covers the FUPWG Deployment of Emerging Technologies. Presented by Brad Gustafson, Department of Energy, held on November 1, 2006.

  7. Photovoltaic Technology Incubator Awards

    SciTech Connect (OSTI)

    Not Available

    2007-06-01T23:59:59.000Z

    This factsheet gives an overview of the Photovoltaic (PV) Technology Incubator Awards and the Solar America Initiative (SAI).

  8. An overview: Challenges in wind technology development

    SciTech Connect (OSTI)

    Thresher, R W; Hock, S M

    1991-12-01T23:59:59.000Z

    Developing innovative wind turbine components and advanced turbine configurations is a primary focus for wind technology researchers. In their rush to bring these new components and systems to the marketplace, designers and developers should consider the lessons learned in the wind farms over the past 10 years. Experience has shown that a disciplined design approach is required that realistically accounts for the turbulence-induced loads, unsteady stall loading, and fatigue effects. This paper reviews past experiences and compares current modelling capabilities with experimental measurements in order to identify some of the knowledge gaps that challenge designers of advanced components and systems. 7 refs., 11 figs.

  9. Web Technology (elective package)

    E-Print Network [OSTI]

    Franssen, Michael

    Web Technology (elective package) Offered by: Department of Mathematics and Computer Science? Computer Science-based approaches and enabling technologies for the web. Course descriptions Human and efficient. Web Technology The web has become the major source of information retrieval and is playing

  10. SPACE TECHNOLOGY Actual Estimate

    E-Print Network [OSTI]

    SPACE TECHNOLOGY TECH-1 Actual Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY.7 247.0 Exploration Technology Development 144.6 189.9 202.0 215.5 215.7 214.5 216.5 Notional SPACE TECHNOLOGY OVERVIEW .............................. TECH- 2 SBIR AND STTR

  11. Department of Science, Technology, &

    E-Print Network [OSTI]

    Acton, Scott

    Developing Leaders of Innovation Department of Science, Technology, & Society #12;Understanding the relationship between technology and society is crucial to becoming a successful leader in any field. #12;Our Students The University of Virginia Department of Science, Technology, and Society offers a comprehensive

  12. Technology Forecasting Scenario Development

    E-Print Network [OSTI]

    Technology Forecasting and Scenario Development Newsletter No. 2 October 1998 Systems Analysis was initiated on the establishment of a new research programme entitled Technology Forecasting and Scenario and commercial applica- tion of new technology. An international Scientific Advisory Panel has been set up

  13. New Technology Demonstration Program

    E-Print Network [OSTI]

    New Technology Demonstration Program Technical Brief FEMPFederal Energy Management Program Tom for saving energy in refrigerated walk-in coolers, and to evaluate the potential for this technology in Federal facilities. The focus of this study was on a single manufacturer of the technology, Nevada Energy

  14. Technology Advertising Contact Information

    E-Print Network [OSTI]

    Peters, Richard

    Overview #12;Technology Advertising Contact Information Alex Sheath 8596 4063 asheath Overview Our online Technology section is geared towards an IT professional environment, reaching a range of technology enthusiasts from every day gadget consumers to business decision makers where enterprise solutions

  15. Science, technology and innovation

    E-Print Network [OSTI]

    Sussex, University of

    Science, technology and innovation Taught degrees MSc in Innovation and Sustainability for International Development 1 year full time/2 years part time Technological innovation lies at the heart in the academic and political circles related to the impact of science, technology and innovation in the context

  16. University Libraries Technology Plan

    E-Print Network [OSTI]

    Moore, Paul A.

    Libraries Bowling Green State University #12;Table of Contents Introduction ..................................................................19 Page 2 of 19 Technology Plan, 2003-2005 University Libraries Bowling Green State University #12University Libraries Technology Plan 2003-2005 Page 1 of 19 Technology Plan, 2003-2005 University

  17. Microsoft Technology Centers Novosibirsk

    E-Print Network [OSTI]

    Narasayya, Vivek

    -depth knowledge of Microsoft products and technologies ensure that you benefit from development best practices discovery, tailored product and technology drill-downs, and expert presentations. It culminates practices, and risk analysis to chief technology officers, architects, and senior members of your

  18. Microsoft Technology Centers Philadelphia

    E-Print Network [OSTI]

    Narasayya, Vivek

    -depth knowledge of Microsoft products and technologies ensure that you benefit from development best practices discovery, tailored product and technology drill-downs, and expert presentations. It culminates practices, and risk analysis to chief technology officers, architects, and senior members of your

  19. Microsoft Technology Centers Minneapolis

    E-Print Network [OSTI]

    Hunt, Galen

    -depth knowledge of Microsoft products and technologies ensure that you benefit from development best practices discovery, tailored product and technology drill-downs, and expert presentations. It culminates practices, and risk analysis to chief technology officers, architects, and senior members of your

  20. Galaxy Structural Parameters in Source Extractor

    E-Print Network [OSTI]

    B. W. Holwerda

    2007-10-16T23:59:59.000Z

    Over the last decade, the Concentration, Asymmetry and Smoothness (CAS), as well as the M20 and GINI parameters have become popular to automatically classify distant galaxies in images. Ellipticals, spirals and irregular galaxies all appear to occupy different regions of this parameter space. At the same time, the Source Extractor (SE) program has become the mainstay to produce ob ject catalogs from large image surveys. A logical next step would be to incorporate the structural parameters into the Source Extractor software. There are however several problems that arise: 1) the CAS parameters are fits to the images and Source Extractor eschews fits in the interest of speed, 2) the definition of the structural parameters changed over time. Now that there is a clear and agreed-upon definition of the structural parameters, I am incorporating computed versions in the Source Extractor code (v2.5). The fitted CAS parameters are available for the GOODS-N/S fields and I compare the computed structural parameters to those found by the previous fits. My goal is to expand the source structure information in Source Extractor catalogs in order to improve automatic identification of sources, specifically of distant galaxies. The computed parameters perform reasonably close to the fitted versions but noise appears in faint ob jects due to a lack of information. For a subset of objects, the asymmetry signal is outside the SE boundaries and Smoothness still fails to compute for many ob jects. Type classification based on the SE parameters still lacks resolving power.

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

    E-Print Network [OSTI]

    Fountain, Stephen B.; Doyle, Karen E.

    2011-01-01T23:59:59.000Z

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

  2. Battery packaging - Technology review

    SciTech Connect (OSTI)

    Maiser, Eric [The German Engineering Federation (VDMA), Battery Production Industry Group, Lyoner Str. 18, 60528 Frankfurt am Main (Germany)

    2014-06-16T23:59:59.000Z

    This paper gives a brief overview of battery packaging concepts, their specific advantages and drawbacks, as well as the importance of packaging for performance and cost. Production processes, scaling and automation are discussed in detail to reveal opportunities for cost reduction. Module standardization as an additional path to drive down cost is introduced. A comparison to electronics and photovoltaics production shows 'lessons learned' in those related industries and how they can accelerate learning curves in battery production.

  3. Technology Innovation Program | Partnerships | ORNL

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

    Innovation Program SHARE Technology Innovation Program The Technology Innovation Program (TIP) is a 1-year program designed to accelerate selected technologies to commercial...

  4. Sandia National Laboratories: Vehicle Technologies

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

    EfficiencyVehicle Technologies Vehicle Technologies Combustion Research Facility (CRF) Vehicle Technology programs at Sandia share a common goal: reducing dependence on...

  5. Chevron, GE form Technology Alliance

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

    form Technology Alliance February 3, 2014 HOUSTON, TX, Feb. 3, 2014-Chevron Energy Technology Company and GE Oil & Gas announced today the creation of the Chevron GE Technology...

  6. Renewable Energy Technologies | Department of Energy

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

    Technologies Renewable Energy Technologies Renewable Energy Technologies State, local, and tribal governments can harness renewable energy technologies from natural sources-...

  7. Environmental Technology Verification of Mobile Sources Control...

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

    Environmental Technology Verification of Mobile Sources Control Technologies Environmental Technology Verification of Mobile Sources Control Technologies 2005 Diesel Engine...

  8. Parameter study of a vehicle-scale hydrogen storage system.

    SciTech Connect (OSTI)

    Johnson, Terry Alan; Kanouff, Michael P.

    2010-04-01T23:59:59.000Z

    Sandia National Laboratories has developed a vehicle-scale prototype hydrogen storage system as part of a Work For Others project funded by General Motors. This Demonstration System was developed using the complex metal hydride sodium alanate. For the current work, we have continued our evaluation of the GM Demonstration System to provide learning to DOE's hydrogen storage programs, specifically the new Hydrogen Storage Engineering Center of Excellence. Baseline refueling data during testing for GM was taken over a narrow range of optimized parameter values. Further testing was conducted over a broader range. Parameters considered included hydrogen pressure and coolant flow rate. This data confirmed the choice of design pressure of the Demonstration System, but indicated that the system was over-designed for cooling. Baseline hydrogen delivery data was insufficient to map out delivery rate as a function of temperature and capacity for the full-scale system. A more rigorous matrix of tests was performed to better define delivery capabilities. These studies were compared with 1-D and 2-D coupled multi-physics modeling results. The relative merits of these models are discussed along with opportunities for improved efficiency or reduced mass and volume.

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

    SciTech Connect (OSTI)

    Ian Mckirdy

    2011-09-01T23:59:59.000Z

    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.

  10. Technology reviews: Glazing systems

    SciTech Connect (OSTI)

    Schuman, J.; Rubinstein, F.; Papamichael, K.; Beltran, L.; Lee, E.S.; Selkowitz, S.

    1992-09-01T23:59:59.000Z

    We present a representative review of existing, emerging, and future technology options in each of five hardware and systems areas in envelope and lighting technologies: lighting systems, glazing systems, shading systems, daylighting optical systems, and dynamic curtain wall systems. The term technology is used here to describe any design choice for energy efficiency, ranging from individual components to more complex systems to general design strategies. The purpose of this task is to characterize the state of the art in envelope and lighting technologies in order to identify those with promise for advanced integrated systems, with an emphasis on California commercial buildings. For each technology category, the following activities have been attempted to the extent possible: Identify key performance characteristics and criteria for each technology; determine the performance range of available technologies; identify the most promising technologies and promising trends in technology advances; examine market forces and market trends; and develop a continuously growing in-house database to be used throughout the project. A variety of information sources have been used in these technology characterizations, including miscellaneous periodicals, manufacturer catalogs and cut sheets, other research documents, and data from previous computer simulations. We include these different sources in order to best show the type and variety of data available, however publication here does not imply our guarantee of these data. Within each category, several broad classes are identified, and within each class we examine the generic individual technologies that fag into that class.

  11. Technology reviews: Shading systems

    SciTech Connect (OSTI)

    Schuman, J.; Rubinstein, F.; Papamichael, K.; Beltran, L.; Lee, E.S.; Selkowitz, S.

    1992-09-01T23:59:59.000Z

    We present a representative review of existing, emerging, and future technology options in each of five hardware and systems areas in envelope and lighting technologies: lighting systems, glazing systems, shading systems, daylighting optical systems, and dynamic curtain wall systems. The term technology is used here to describe any design choice for energy efficiency, ranging from individual components to more complex systems to general design strategies. The purpose of this task is to characterize the state of the art in envelope and lighting technologies in order to identify those with promise for advanced integrated systems, with an emphasis on California commercial buildings. For each technology category, the following activities have been attempted to the extent possible: Identify key performance characteristics and criteria for each technology. Determine the performance range of available technologies. Identify the most promising technologies and promising trends in technology advances. Examine market forces and market trends. Develop a continuously growing in-house database to be used throughout the project. A variety of information sources have been used in these technology characterizations, including miscellaneous periodicals, manufacturer catalogs and cut sheets, other research documents, and data from previous computer simulations. We include these different sources in order to best show the type and variety of data available, however publication here does not imply our guarantee of these data. Within each category, several broad classes are identified, and within each class we examine the generic individual technologies that fall into that class.

  12. Two-Parameter Dynamics and Geometry

    E-Print Network [OSTI]

    Zhi Hu; Mulin Yan; Sen Hu

    2015-01-10T23:59:59.000Z

    In this paper we present the two-parameter dynamics which is implied by the law of inertia in flat spacetime. A remarkable perception is that (A)dS4 geometry may emerge from the two-parameter dynamics, which exhibits some phenomenon of dynamics/ geometry correspondence. We also discuss the Unruh effects within the context of two-parameter dynamics. In the last section we construct various invariant actions with respect to the broken symmetry groups.

  13. Uncertainty evaluation of delayed neutron decay parameters

    E-Print Network [OSTI]

    Wang, Jinkai

    2009-05-15T23:59:59.000Z

    .......... 80 Figure 6.1 Fitted E2 from Different Algorithms (Saturation Mode)................... 85 Figure 6.2 Standard Deviations of Fitted Parameter Ratios (Saturation Mode). 92 Figure 6.3 Standard Deviations of Fitted Parameter Ratios (Pulse Mode...)......... 92 Figure 6.4 Standard Deviations of Fitted Parameter Ratios with Group-1 Fixed (Pulse Mode) ........................................................................... 93 Figure 6.5 The Ratios of Different Data Sets to Keepin?s Values...

  14. Comparison of Vehicle Efficiency Technology Attributes and Synergy Estimates

    SciTech Connect (OSTI)

    Duleep, G.

    2011-02-01T23:59:59.000Z

    Analyzing the future fuel economy of light-duty vehicles (LDVs) requires detailed knowledge of the vehicle technologies available to improve LDV fuel economy. The National Highway Transportation Safety Administration (NHTSA) has been relying on technology data from a 2001 National Academy of Sciences (NAS) study (NAS 2001) on corporate average fuel economy (CAFE) standards, but the technology parameters were updated in the new proposed rulemaking (EPA and NHTSA 2009) to set CAFE and greenhouse gas standards for the 2011 to 2016 period. The update is based largely on an Environmental Protection Agency (EPA) analysis of technology attributes augmented by NHTSA data and contractor staff assessments. These technology cost and performance data were documented in the Draft Joint Technical Support Document (TSD) issued by EPA and NHTSA in September 2009 (EPA/NHTSA 2009). For these tasks, the Energy and Environmental Analysis (EEA) division of ICF International (ICF) examined each technology and technology package in the Draft TSD and assessed their costs and performance potential based on U.S. Department of Energy (DOE) program assessments. ICF also assessed the technologies? other relevant attributes based on data from actual production vehicles and from recently published technical articles in engineering journals. ICF examined technology synergy issues through an ICF in-house model that uses a discrete parameter approach.

  15. Sandia National Laboratories: main parameter determining laminate...

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

    parameter determining laminate fatigue lifetime is the cumulative time under load New Material Tests Show Biaxial Laminate Creep Is Important for Large Wind-Turbine Blades On...

  16. Experimental Investigation of Effect of Injection Parameters...

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

    Experimental Investigation of Effect of Injection Parameters, Compression Ratio and Ultra-cooled EGR on CI Engine Performance and Emissions Low temperature combustion,...

  17. ONE-PARAMETER CONTINUOUS FIELDS OF KIRCHBERG ...

    E-Print Network [OSTI]

    2008-09-05T23:59:59.000Z

    One-parameter separable unital continuous fields of Kirchberg algebras (nuclear purely infinite simple C*-algebras) with torsion free Ki-groups and trivial ...

  18. Learning style impact on knowledge gains in human patient simulation

    E-Print Network [OSTI]

    Shinnick, MA; Woo, MA

    2015-01-01T23:59:59.000Z

    identifying with most types of learning styles. © 2014others prefer re?ective types of learning opportuni- ties,learning style. Types of Learning Styles Kolb depicts

  19. Sunspot Unit Areas: A New Parameter to Describe the Long-term Solar Variability

    E-Print Network [OSTI]

    650011, China Big Bear Solar Observatory, New Jersey Institute of Technology, Big Bear City, CA 92314Sunspot Unit Areas: A New Parameter to Describe the Long-term Solar Variability K.J. Li1,2 , J. Qiu). It describes the daily average size of sunspots produced by the dynamo in a solar cycle. The monthly average

  20. Presented at 1999 EWEC Effects of Materials Parameters and Design Details on the Fatigue of

    E-Print Network [OSTI]

    of Composite Materials for Wind Turbine Blades John F. Mandell and Herbert J. Sutherland* Daniel D. SamborskyPresented at 1999 EWEC Effects of Materials Parameters and Design Details on the Fatigue Wind Energy Technology Dept. Dept. of Chemical Engineering Sandia National Laboratories Montana State

  1. Extracting Stacking Interaction Parameters for RNA from the Data Set of Native Structures

    E-Print Network [OSTI]

    Thirumalai, Devarajan

    Science and Technology, University of Maryland, College Park, MD 20742, USA 2 Department of Chemistry-dependent estimates of the interaction parameters. We have exploited the growing database of natively folded RNA of higher free energy states. The computed Z-scores agree with estimates made using calorimetric

  2. Seismic vulnerability assessment to slight dam-age based on experimental modal parameters

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Seismic vulnerability assessment to slight dam- age based on experimental modal parameters Clotaire Federal Institute of Technology, Zuerich, Switzerland. Michel C., Gueguen P., Causse M. 2011. Seismic higher modes and full seismic ground motion, (2) using a single-degree of freedom model considering

  3. Robotics for Learning

    E-Print Network [OSTI]

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

    2015-01-01T23:59:59.000Z

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

  4. Strategic Technology JET PROPULSION LABORATORY

    E-Print Network [OSTI]

    Waliser, Duane E.

    Strategic Technology Directions JET PROPULSION LABORATORY National Aeronautics and Space Administration 2 0 0 9 #12;© 2009 California Institute of Technology. Government sponsorship acknowledged. #12;Strategic Technology Directions 2009 offers a distillation of technologies, their links to space missions

  5. Solar Energy Resources and Technologies

    Broader source: Energy.gov [DOE]

    Solar energy provides electricity, heating, and cooling for Federal facilities through four primary technology types. The four technologies are broken into two categories; technologies for electricity production and thermal energy technologies.

  6. Observational learning in horses

    E-Print Network [OSTI]

    Baer, Katherine Louise

    1979-01-01T23:59:59.000Z

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

  7. U.S. Department of Energy national technology information exchange workshops

    SciTech Connect (OSTI)

    Daub, G.J. [RUST Geotech Inc., Grand Junction, CO (United States); Earle, S.D. [Automated Sciences Group, Inc., Germantown, MD (United States); Smibert, A.M.; Wight, E.H. [Management Systems Lab., Blacksburg, VA (United States)

    1994-12-31T23:59:59.000Z

    The U.S. Department of Energy National Technology Information Exchange (TIE) Workshops bring together environmental restoration and technology development personnel to exchange and share problems, needs, technological solutions, ideas, and successes and failures from lessons learned at DOE sites. The success of this forum is measured by the knowledge gained, contacts made, and program dollars saved by the people who actually do the work in the field. TIE is a unique opportunity to unite the DOE community and allow individuals to listen and to learn about each others` problems and solutions. By using today`s technologies better, the National TIE Workshops help identify and implement cost-effective and appropriate technologies to meet the needs of the DOE environmental restoration program.

  8. Technology transfer 1994

    SciTech Connect (OSTI)

    Not Available

    1994-01-01T23:59:59.000Z

    This document, Technology Transfer 94, is intended to communicate that there are many opportunities available to US industry and academic institutions to work with DOE and its laboratories and facilities in the vital activity of improving technology transfer to meet national needs. It has seven major sections: Introduction, Technology Transfer Activities, Access to Laboratories and Facilities, Laboratories and Facilities, DOE Office, Technologies, and an Index. Technology Transfer Activities highlights DOE`s recent developments in technology transfer and describes plans for the future. Access to Laboratories and Facilities describes the many avenues for cooperative interaction between DOE laboratories or facilities and industry, academia, and other government agencies. Laboratories and Facilities profiles the DOE laboratories and facilities involved in technology transfer and presents information on their missions, programs, expertise, facilities, and equipment, along with data on whom to contact for additional information on technology transfer. DOE Offices summarizes the major research and development programs within DOE. It also contains information on how to access DOE scientific and technical information. Technologies provides descriptions of some of the new technologies developed at DOE laboratories and facilities.

  9. Learning planar ising models

    SciTech Connect (OSTI)

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

    2010-11-12T23:59:59.000Z

    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.

  10. Medically relevant ElectroNeedle technology development.

    SciTech Connect (OSTI)

    Schmidt, Carrie Frances; Thomas, Michael Loren; McClain, Jaime L.; Harper, Jason C.; Achyuthan, Komandoor E.; Ten Eyck, Gregory A.

    2008-11-01T23:59:59.000Z

    ElectroNeedles technology was developed as part of an earlier Grand Challenge effort on Bio-Micro Fuel Cell project. During this earlier work, the fabrication of the ElectroNeedles was accomplished along with proof-of-concept work on several electrochemically active analytes such as glucose, quinone and ferricyanide. Additionally, earlier work demonstrated technology potential in the field of immunosensors by specifically detecting Troponin, a cardiac biomarker. The current work focused upon fabrication process reproducibility of the ElectroNeedles and then using the devices to sensitively detect p-cresol, a biomarker for kidney failure or nephrotoxicity. Valuable lessons were learned regarding fabrication assurance and quality. The detection of p-cresol was accomplished by electrochemistry as well as using fluorescence to benchmark ElectroNeedles performance. Results from these studies will serve as a guide for the future fabrication processes involving ElectroNeedles as well as provide the groundwork necessary to expand technology applications. One paper has been accepted for publication acknowledging LDRD funding (K. E. Achyuthan et al, Comb. Chem. & HTS, 2008). We are exploring the scope for a second paper describing the applications potential of this technology.

  11. Regional Effort to Deploy Clean Coal Technologies

    SciTech Connect (OSTI)

    Gerald Hill; Kenneth Nemeth; Gary Garrett; Kimberly Sams

    2009-01-31T23:59:59.000Z

    The Southern States Energy Board's (SSEB) 'Regional Effort to Deploy Clean Coal Technologies' program began on June 1, 2003, and was completed on January 31, 2009. The project proved beneficial in providing state decision-makers with information that assisted them in removing barriers or implementing incentives to deploy clean coal technologies. This was accomplished through two specific tasks: (1) domestic energy security and diversity; and (2) the energy-water interface. Milestones accomplished during the project period are: (1) Presentations to Annual Meetings of SSEB Members, Associate Member Meetings, and the Gasification Technologies Council. (2) Energy: Water reports - (A) Regional Efforts to Deploy Clean Coal Technologies: Impacts and Implications for Water Supply and Quality. June 2004. (B) Energy-Water Interface Challenges: Coal Bed Methane and Mine Pool Water Characterization in the Southern States Region. 2004. (C) Freshwater Availability and Constraints on Thermoelectric Power Generation in the Southeast U.S. June 2008. (3) Blackwater Interactive Tabletop Exercise - Decatur, Georgia April 2007. (4) Blackwater Report: Blackwater: Energy and Water Interdependency Issues: Best Practices and Lessons Learned. August 2007. (5) Blackwater Report: BLACKWATER: Energy Water Interdependency Issues REPORT SUMMARY. April 2008.

  12. Extragalactic database. VII Reduction of astrophysical parameters

    E-Print Network [OSTI]

    G. Paturel; H. Andernach; L. Bottinelli; H. Di Nella; N. Durand; R. Garnier; L. Gouguenheim; P. Lanoix; M. C. Marthinet; C. Petit; J. Rousseau; G. Theureau; I. Vauglin

    1998-06-10T23:59:59.000Z

    The Lyon-Meudon Extragalactic database (LEDA) gives a free access to the main astrophysical parameters for more than 100,000 galaxies. The most common names are compiled allowing users to recover quickly any galaxy. All these measured astrophysical parameters are first reduced to a common system according to well defined reduction formulae leading to mean homogeneized parameters. Further, these parameters are also transformed into corrected parameters from widely accepted models. For instance, raw 21-cm line widths are transformed into mean standard widths after correction for instrumental effect and then into maximum velocity rotation properly corrected for inclination and non-circular velocity. This paper presents the reduction formulae for each parameter: coordinates, morphological type and luminosity class, diameter and axis ratio, apparent magnitude (UBV, IR, HI) and colors, maximum velocity rotation and central velocity dispersion, radial velocity, mean surface brightness, distance modulus and absolute magnitude, and group membership. For each of these parameters intermediate quantities are given: galactic extinction, inclination, K-correction etc.. All these parameters are available from direct connexion to LEDA (telnet lmc.univ-lyon1.fr, login: leda, no passwd OR http://www-obs.univ-lyon1.fr/leda ) and distributed on a standard CD-ROM (PGC-ROM 1996) by the Observatoire de Lyon via the CNRS (mail to petit@obs.univ-lyon1.fr).

  13. Preference Learning Johannes Furnkranz, Eyke Hullermeier

    E-Print Network [OSTI]

    Fürnkranz, Johannes

    types of prediction problems, the learning from/of preferences has recently received a lot of attention in the machine learning literature. Like other types of complex learning tasks, preference learning deviates provide a systematic exposition of different types of preference learning problems nor a comprehensive

  14. Benefits of multisensory learning Ladan Shams1

    E-Print Network [OSTI]

    Shams, Ladan B.

    of learning? Acquiring this skill can involve many types of learning and here we focus on aspectsBenefits of multisensory learning Ladan Shams1 and Aaron R. Seitz2 1 Department of Psychology, Riverside, CA 92521, USA Studies of learning, and in particular perceptual learning, have focused

  15. Organizational scenarios for the use of learning

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

  16. Geothermal innovative technologies catalog

    SciTech Connect (OSTI)

    Kenkeremath, D. (ed.)

    1988-09-01T23:59:59.000Z

    The technology items in this report were selected on the basis of technological readiness and applicability to current technology transfer thrusts. The items include technologies that are considered to be within 2 to 3 years of being transferred. While the catalog does not profess to be entirely complete, it does represent an initial attempt at archiving innovative geothermal technologies with ample room for additions as they occur. The catalog itself is divided into five major functional areas: Exploration; Drilling, Well Completion, and Reservoir Production; Materials and Brine Chemistry; Direct Use; and Economics. Within these major divisions are sub-categories identifying specific types of technological advances: Hardware; Software; Data Base; Process/Procedure; Test Facility; and Handbook.

  17. SW-ELM: a summation wavelet extreme learning machine algorithm with a priori parameter initialization

    E-Print Network [OSTI]

    Boyer, Edmond

    in the hidden layer, which can also be called as wavenet [4]. Ac- cording to literature, different models. Pourtaghi et al. [7] performed a thorough assessment on wavenet ability in comparison to Corresponding

  18. Dynamic Structure Learning of Factor Graphs and Parameter Estimation of a Constrained Nonlinear

    E-Print Network [OSTI]

    Southern California, University of

    optimization is that the underlying reservoir structure is unknown and changes continuously over time. One of the popular oil recovery techniques is waterflooding, which injects water into injectors with the optimization is that the underlying structure of oil reservoirs is unknown and it continuously changes over

  19. Electric and Hybrid Vehicle Technology: TOPTEC

    SciTech Connect (OSTI)

    Not Available

    1992-01-01T23:59:59.000Z

    Today, growing awareness of environmental and energy issues associated with the automobile has resulted in renewed interest in the electric vehicle. In recognition of this, the Society of Automotive Engineers has added a TOPTEC on electric vehicles to the series of technical symposia focused on key issues currently facing industry and government. This workshop on the Electric and Hybrid Vehicle provides an opportunity to learn about recent progress in these rapidly changing technologies. Research and development of both the vehicle and battery system has accelerated sharply and in fact, the improved technologies of the powertrain system make the performance of today's electric vehicle quite comparable to the equivalent gasoline vehicle, with the exception of driving range between refueling'' stops. Also, since there is no tailpipe emission, the electric vehicle meets the definition of Zero Emission Vehicle: embodied in recent air quality regulations. The discussion forum will include a review of the advantages and limitations of electric vehicles, where the technologies are today and where they need to be in order to get to production level vehicles, and the service and maintenance requirements once they get to the road. There will be a major focus on the status of battery technologies, the various approaches to recharge of the battery systems and the activities currently underway for developing standards throughout the vehicle and infrastructure system. Intermingled in all of this technology discussion will be a view of the new relationships emerging between the auto industry, the utilities, and government. Since the electric vehicle and its support system will be the most radical change ever introduced into the private vehicle sector of the transportation system, success in the market requires an understanding of the role of all of the partners, as well as the new technologies involved.

  20. Electric and Hybrid Vehicle Technology: TOPTEC

    SciTech Connect (OSTI)

    Not Available

    1992-12-01T23:59:59.000Z

    Today, growing awareness of environmental and energy issues associated with the automobile has resulted in renewed interest in the electric vehicle. In recognition of this, the Society of Automotive Engineers has added a TOPTEC on electric vehicles to the series of technical symposia focused on key issues currently facing industry and government. This workshop on the Electric and Hybrid Vehicle provides an opportunity to learn about recent progress in these rapidly changing technologies. Research and development of both the vehicle and battery system has accelerated sharply and in fact, the improved technologies of the powertrain system make the performance of today`s electric vehicle quite comparable to the equivalent gasoline vehicle, with the exception of driving range between ``refueling`` stops. Also, since there is no tailpipe emission, the electric vehicle meets the definition of ``Zero Emission Vehicle: embodied in recent air quality regulations. The discussion forum will include a review of the advantages and limitations of electric vehicles, where the technologies are today and where they need to be in order to get to production level vehicles, and the service and maintenance requirements once they get to the road. There will be a major focus on the status of battery technologies, the various approaches to recharge of the battery systems and the activities currently underway for developing standards throughout the vehicle and infrastructure system. Intermingled in all of this technology discussion will be a view of the new relationships emerging between the auto industry, the utilities, and government. Since the electric vehicle and its support system will be the most radical change ever introduced into the private vehicle sector of the transportation system, success in the market requires an understanding of the role of all of the partners, as well as the new technologies involved.

  1. Digital Sensor Technology

    SciTech Connect (OSTI)

    Ted Quinn; Jerry Mauck; Richard Bockhorst; Ken Thomas

    2013-07-01T23:59:59.000Z

    The nuclear industry has been slow to incorporate digital sensor technology into nuclear plant designs due to concerns with digital qualification issues. However, the benefits of digital sensor technology for nuclear plant instrumentation are substantial in terms of accuracy, reliability, availability, and maintainability. This report demonstrates these benefits in direct comparisons of digital and analog sensor applications. It also addresses the qualification issues that must be addressed in the application of digital sensor technology.

  2. Technology Innovation Program 2010ANNUAL REPORT

    E-Print Network [OSTI]

    Technology Innovation Program 2010ANNUAL REPORT 2010ANNUAL REPORT Technology Innovation ProgramTechnology Innovation ProgramTechnology Innovation ProgramTechnology Innovation ProgramTechnology Innovation ProgramTechnology Innovation ProgramTechnology Innovation ProgramTechnology Innovation ProgramTechnology Innovation ProgramTechnology

  3. Additive Manufacturing Technology Assessment

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

    market by industrial companies, 58 including the Electro Optical Systems (EOS) in Germany, Arcam in Sweden, MCP Tooling Technologies in 59 the UK, and Stratasys, 3D Systems,...

  4. States & Emerging Energy Technologies

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

    States & Emerging Energy Technologies August 15, 2013 DOE's State and Local Technical Assistance Program 2 DOE's Technical Assistance Program * Strategic Energy Planning * Program...

  5. 2015 Technology Innovation Projects

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

    for RTU and Lighting Retrofits Energy Efficiency TIP 140: Energy Efficiency Emerging Technology Assessment and Demonstration Projects TIP 261: Determining and Improving the...

  6. Geothermal Resources and Technologies

    Broader source: Energy.gov [DOE]

    This page provides a brief overview of geothermal energy resources and technologies supplemented by specific information to apply geothermal systems within the Federal sector.

  7. Lighting Technology Panel

    Broader source: Energy.gov [DOE]

    Presentation covers the Lighting Technology Panel for the Federal Utility Partnership Working Group (FUPWG) meeting, held on November 18-19, 2009. 

  8. Climate Vision: Technology Pathways

    Office of Scientific and Technical Information (OSTI)

    Cement Chemical Manufacturing Electric Power Forest Products Iron and Steel Mining Oil and Gas Technology Pathways The DOE's Industries of the Future process helps...

  9. Technology Integration Overview

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

    -Technology Integration Overview - Dennis A. Smith Connie Bezanson U. S. Department of Energy Headquarters Office - Washington, D.C. May 2013 Project ID: TI000 2013 Department of...

  10. Flexible Assembly Solar Technology

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

    Energy, Inc. All rights reserved. 3 About BrightSource Energy We develop and build solar thermal projects using our own central tower technology Headquartered in...

  11. Science, Technology & Engineering

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

    to lead LANL Science, Technology & Engineering directorate August 17, 2012 LOS ALAMOS, NEW MEXICO, August 17, 2012-Los Alamos National Laboratory Director Charles McMillan...

  12. Genome Science/Technologies

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

    McDonald Bioscience Communications Email State-of-the art technology and extensive genomics expertise Protein research Read caption + Los Alamos National Laboratory graduate...

  13. Solar Energy Technologies Office

    Broader source: Energy.gov [DOE]

    In 2011, the Energy Department's Solar Energy Technologies Office (SETO) became the SunShot Initiative, a collaborative national effort that aggressively drives innovation to make solar energy...

  14. Director, Geothermal Technologies Office

    Broader source: Energy.gov [DOE]

    The mission of the Geothermal Technologies Office (GTO) is to accelerate the development and deployment of clean, domestic geothermal resources that will promote a stronger, more productive economy...

  15. Flexible Assembly Solar Technology

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

    field and secured on steel pylons. PROJECT DESCRIPTION The research team is applying automation processes to the design of a Flexible Assembly Solar Technology (FAST). FAST is an...

  16. Carbon Fiber Technology Facility

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

    conventional and alternative precursors to carbon fiber Advance high-volume composite design and manufacturing capabilities Transition technology to industry partners...

  17. Upgrading through Preprocessing Technologies

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

    Upgrading through Preprocessing Technologies The challenges of efficiently converting raw biomass into usable, affordable, customized bioenergy feedstdocks are many. The bioenergy...

  18. Arc Position Sensing Technology

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

    arc remelting (VAR) furnaces for industries that use specialty metals such as nickel, titanium, and zirconium. The technology could be used to help produce materials with stronger...

  19. Mobile Technology Management

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

    2013-11-21T23:59:59.000Z

    The directive will ensure that federal organizations and employees within the Department can use mobile technology to support mission requirements in a safe and secure manner.

  20. Advanced Propulsion Technology Strategy

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

    Alternative Sources) Hydrogen Time ADVANCED PROPULSION TECHNOLOGY STRATEGY DOWNSIZED TURBO GAS ENGINE CHEVROLET CRUZE 1.4L TURBO ECOTEC Downsized SIDI Turbo Boosting HCCI -...

  1. Technology Demonstration Partnership Policy

    Broader source: Energy.gov [DOE]

    This City Council memorandum establishes a framework for engaging in and evaluating demonstration partnerships with the goal of developing, testing, and demonstrating emerging technologies, product, and service innovations.

  2. Navy Technology Evaluation Update

    Broader source: Energy.gov [DOE]

    Presentation covers the Navy Technology Evaluation update at the Federal Utility Partnership Working Group (FUPWG) meeting, held on November 18-19, 2009.

  3. HVAC Maintenance and Technologies

    Broader source: Energy.gov [DOE]

    Presentation covers the HVAC maintenance and technologies, and is given at the Spring 2010 Federal Utility Partnership Working Group (FUPWG) meeting in Providence, Rhode Island.

  4. Photovoltaic Resources and Technologies

    Broader source: Energy.gov [DOE]

    This page provides a brief overview of photovoltaic (PV) technologies supplemented by specific information to apply PV within the Federal sector.

  5. ENERGY EFFICIENCY TECHNOLOGY ROADMAP

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

    to involve more explicit alignment with BPA's newest demand-side roadmap resource, the Demand Response Technology Roadmap. 1 Roadmap chapters have been arranged in stand-alone...

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

    E-Print Network [OSTI]

    McLaren, Bruce Martin

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

  7. Learning Tiny Theories Tim Menzies

    E-Print Network [OSTI]

    Menzies, Tim

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

  8. Machine Learning for Global Optimization

    E-Print Network [OSTI]

    schoen,,,

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

  9. Laser Eye Surgery Technology LASIK Over 1 million LASIK procedures a year are performed in America. With a number

    E-Print Network [OSTI]

    La Rosa, Andres H.

    Laser Eye Surgery Technology ­ LASIK Abstract: Over 1 million LASIK procedures a year are performed that the laser eye surgery technology is available and become more popular. We would like to spend some time to research on this topic and learn about it. Maybe someday we may go for the eye surgery to get rid of our

  10. Q7: We greatly appreciate any comments or suggestions about the University's commitment to supporting information technology for teaching

    E-Print Network [OSTI]

    California at Santa Barbara, University of

    to supporting information technology for teaching: Q7: Color graphics are essential to students' understanding/managing course web pages and other technologies that facilitate student learning. For example, I have often that I always took my own laptop to the lecture hall (spring 01). The installed computer was just useless

  11. Training & Technology Solutions Queens College ~ Office of Converging Technologies ~ Training & Technology Solutions

    E-Print Network [OSTI]

    Johnson Jr.,, Ray

    Training & Technology Solutions Queens College ~ Office of Converging Technologies ~ Training & Technology Solutions 718-997-4875 ~ training@qc.cuny.edu ~ I-Bldg 214 CUNYfirst Faculty Center Navigation;Training & Technology Solutions Queens College ~ Office of Converging Technologies ~ Training & Technology

  12. Cost and Performance Assumptions for Modeling Electricity Generation Technologies

    SciTech Connect (OSTI)

    Tidball, R.; Bluestein, J.; Rodriguez, N.; Knoke, S.

    2010-11-01T23:59:59.000Z

    The goal of this project was to compare and contrast utility scale power plant characteristics used in data sets that support energy market models. Characteristics include both technology cost and technology performance projections to the year 2050. Cost parameters include installed capital costs and operation and maintenance (O&M) costs. Performance parameters include plant size, heat rate, capacity factor or availability factor, and plant lifetime. Conventional, renewable, and emerging electricity generating technologies were considered. Six data sets, each associated with a different model, were selected. Two of the data sets represent modeled results, not direct model inputs. These two data sets include cost and performance improvements that result from increased deployment as well as resulting capacity factors estimated from particular model runs; other data sets represent model input data. For the technologies contained in each data set, the levelized cost of energy (LCOE) was also evaluated, according to published cost, performance, and fuel assumptions.

  13. Autonomous Traffic Control System Using Agent Based Technology

    E-Print Network [OSTI]

    M, Venkatesh; V, Srinivas

    2011-01-01T23:59:59.000Z

    The way of analyzing, designing and building of real-time projects has been changed due to the rapid growth of internet, mobile technologies and intelligent applications. Most of these applications are intelligent, tiny and distributed components called as agent. Agent works like it takes the input from numerous real-time sources and gives back the real-time response. In this paper how these agents can be implemented in vehicle traffic management especially in large cities and identifying various challenges when there is a rapid growth of population and vehicles. In this paper our proposal gives a solution for using autonomous or agent based technology. These autonomous or intelligent agents have the capability to observe, act and learn from their past experience. This system uses the knowledge flow of precedent signal or data to identify the incoming flow of forthcoming signal. Our architecture involves the video analysis and exploration using some Intelligence learning algorithm to estimate and identify the...

  14. MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION

    E-Print Network [OSTI]

    Endres. William J.

    Tech to achieve the vision of "One University Focused on Learning." ESSENTIAL DUTIES excellence and mutual responsibility of students and faculty for learning. Enhance teaching effectiveness centers, and Student Affairs to support teaching/learning initiatives, develop a shared resource pool

  15. A retrospective of VAWT technology.

    SciTech Connect (OSTI)

    Ashwill, Thomas D.; Sutherland, Herbert J. (HJS Consulting, Albuquerque, NM); Berg, Dale E.

    2012-01-01T23:59:59.000Z

    The study of Vertical-Axis Wind Turbine (VAWT) technology at Sandia National Laboratories started in the 1970's and concluded in the 1990's. These studies concentrated on the Darrieus configurations because of their high inherent efficiency, but other configurations (e.g., the Savonius turbine) were also examined. The Sandia VAWT program culminated with the design of the 34-m 'Test Bed' Darrieus VAWT. This turbine was designed and built to test various VAWT design concepts and to provide the necessary databases to validate analytical design codes and algorithms. Using the Test Bed as their starting point, FloWind Corp. developed a commercial VAWT product line with composite blades and an extended height-to-diameter ratio. The purpose of this paper is to discuss the design process and results of the Sandia 34-m VAWT Test Bed program and the FloWind prototype development program with an eye toward future offshore designs. This paper is our retrospective of the design, analysis, testing and commercial process. Special emphasis is given to those lessons learned that will aid in the development of an off-shore VAWT.

  16. The Parameter Space of Galaxy Formation

    E-Print Network [OSTI]

    Bower, R G; Goldstein, M; Benson, A J; Lacey, C G; Baugh, C M; Cole, S; Frenk, C S; .,

    2010-01-01T23:59:59.000Z

    Semi-analytic models are a powerful tool for studying the formation of galaxies. However, these models inevitably involve a significant number of poorly constrained parameters that must be adjusted to provide an acceptable match to the observed universe. In this paper, we set out to quantify the degree to which observational data-sets can constrain the model parameters. By revealing degeneracies in the parameter space we can hope to better understand the key physical processes probed by the data. We use novel mathematical techniques to explore the parameter space of the GALFORM semi-analytic model. We base our investigation on the Bower et al. 2006 version of GALFORM, adopting the same methodology of selecting model parameters based on an acceptable match to the local bJ and K luminosity functions. The model contains 16 parameters that are poorly constrained, and we investigate this parameter space using the Model Emulator technique, constructing a Bayesian approximation to the GALFORM model that can be rapid...

  17. Digital Actuator Technology

    SciTech Connect (OSTI)

    Ken Thomas; Ted Quinn; Jerry Mauck; Richard Bockhorst

    2014-09-01T23:59:59.000Z

    There are significant developments underway in new types of actuators for power plant active components. Many of these make use of digital technology to provide a wide array of benefits in performance of the actuators and in reduced burden to maintain them. These new product offerings have gained considerable acceptance in use in process plants. In addition, they have been used in conventional power generation very successfully. This technology has been proven to deliver the benefits promised and substantiate the claims of improved performance. The nuclear industry has been reluctant to incorporate digital actuator technology into nuclear plant designs due to concerns due to a number of concerns. These could be summarized as cost, regulatory uncertainty, and a certain comfort factor with legacy analog technology. The replacement opportunity for these types of components represents a decision point for whether to invest in more modern technology that would provide superior operational and maintenance benefits. Yet, the application of digital technology has been problematic for the nuclear industry, due to qualification and regulatory issues. With some notable exceptions, the result has been a continuing reluctance to undertake the risks and uncertainties of implementing digital actuator technology when replacement opportunities present themselves. Rather, utilities would typically prefer to accept the performance limitations of the legacy analog actuator technologies to avoid impacts to project costs and schedules. The purpose of this report is to demonstrate that the benefits of digital actuator technology can be significant in terms of plant performance and that it is worthwhile to address the barriers currently holding back the widespread development and use of this technology. It addresses two important objectives in pursuit of the beneficial use of digital actuator technology for nuclear power plants: 1. To demonstrate the benefits of digital actuator technology over legacy analog sensor technology in both quantitative and qualitative ways. 2. To recognize and address the added difficulty of digital technology qualification, especially in regard to software common cause failure (SCCF), that is introduced by the use of digital actuator technology.

  18. Technology Catalogue. First edition

    SciTech Connect (OSTI)

    Not Available

    1994-02-01T23:59:59.000Z

    The Department of Energy`s Office of Environmental Restoration and Waste Management (EM) is responsible for remediating its contaminated sites and managing its waste inventory in a safe and efficient manner. EM`s Office of Technology Development (OTD) supports applied research and demonstration efforts to develop and transfer innovative, cost-effective technologies to its site clean-up and waste management programs within EM`s Office of Environmental Restoration and Office of Waste Management. The purpose of the Technology Catalogue is to provide performance data on OTD-developed technologies to scientists and engineers assessing and recommending technical solutions within the Department`s clean-up and waste management programs, as well as to industry, other federal and state agencies, and the academic community. OTD`s applied research and demonstration activities are conducted in programs referred to as Integrated Demonstrations (IDs) and Integrated Programs (IPs). The IDs test and evaluate.systems, consisting of coupled technologies, at specific sites to address generic problems, such as the sensing, treatment, and disposal of buried waste containers. The IPs support applied research activities in specific applications areas, such as in situ remediation, efficient separations processes, and site characterization. The Technology Catalogue is a means for communicating the status. of the development of these innovative technologies. The FY93 Technology Catalogue features technologies successfully demonstrated in the field through IDs and sufficiently mature to be used in the near-term. Technologies from the following IDs are featured in the FY93 Technology Catalogue: Buried Waste ID (Idaho National Engineering Laboratory, Idaho); Mixed Waste Landfill ID (Sandia National Laboratories, New Mexico); Underground Storage Tank ID (Hanford, Washington); Volatile organic compound (VOC) Arid ID (Richland, Washington); and VOC Non-Arid ID (Savannah River Site, South Carolina).

  19. ENERGY SMART SCHOOLS - APPLIED RESEARCH, FIELD TESTING, AND TECHNOLOGY INTEGRATION

    SciTech Connect (OSTI)

    Kate Burke

    2004-01-01T23:59:59.000Z

    This multi-state collaborative project will coordinate federal, state, and private sector resources and high-priority school-related energy research under a comprehensive initiative that includes tasks that increase adoption of advanced energy efficiency high-performance technologies in both renovation of existing schools and building new ones; educate and inform school administrators, architects, engineers, and manufacturers nationwide as to the energy, economic, and environmental benefits of energy efficiency technologies; and improve the learning environment for the nation's students through use of better temperature controls, improvements in air quality, and increased daylighting in schools.

  20. College of Information Technology 151 INFORMATION TECHNOLOGY

    E-Print Network [OSTI]

    Xie,Jiang (Linda)

    the computer industry either as a computer hardware design engineer or as a computer scientist with a heavy, industry professionals, and students. The College of IT was formed in 2000, with the mission of educating industry to develop information technology solutions. Computer Science Program. The Computer Science

  1. PAVEMENT TECHNOLOGY UPDATE This Technology Transfer Program

    E-Print Network [OSTI]

    California at Berkeley, University of

    the road." In recent years, increasing amounts of crumb rubber from recycled tires have been added solve the very serious problem of waste tire disposal. TECHNOLOGY TRANSFER PROGRAM SEPTEMBER 2009, VOL. 1, NO. 2 § Rubber Roads: Waste Tires Find a Home By Larry Santucci, PE Pavement Specialist

  2. Testing Technology: A Sandia technology bulletin

    SciTech Connect (OSTI)

    Goetsch, B.; Floyd, H.L.; Doran, L. [eds.

    1994-08-01T23:59:59.000Z

    Inside this issue is a farewell to Testing Technology message from technical advisor, Ruth David. Also included are articles on: Testing the I-40 bridge over the Rio Grande, simulated reactor meltdown studies, an inexpensive monitor for testing integrated circuits, testing of antihelicoptor mines, and quality assurance on aircraft inspection.

  3. Scaling Reinforcement Learning Paradigms for Motor Control 

    E-Print Network [OSTI]

    Vijayakumar, Sethu; Peters, Jan; Schaal, Stefan

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

  4. Feedback controller parameterizations for reinforcement learning

    E-Print Network [OSTI]

    Roberts, John William

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

  5. Sequential Causal Learning in Humans and Rats

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

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

  6. Sequential Causal Learning in Humans and Rats

    E-Print Network [OSTI]

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

    2011-01-01T23:59:59.000Z

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

  7. Lessons Learned Quarterly Report, March 2004

    Broader source: Energy.gov [DOE]

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

  8. Lessons Learned Quarterly Report, June 2004

    Broader source: Energy.gov [DOE]

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

  9. How to fool CMB parameter estimation

    E-Print Network [OSTI]

    William H. Kinney

    2000-05-19T23:59:59.000Z

    With the release of the data from the Boomerang and MAXIMA-1 balloon flights, estimates of cosmological parameters based on the Cosmic Microwave Background (CMB) have reached unprecedented precision. In this paper I show that it is possible for these estimates to be substantially biased by features in the primordial density power spectrum. I construct primordial power spectra which mimic to within cosmic variance errors the effect of changing parameters such as the baryon density and neutrino mass, meaning that even an ideal measurement would be unable to resolve the degeneracy. Complementary measurements are necessary to resolve this ambiguity in parameter estimation efforts based on CMB temperature fluctuations alone.

  10. APRIL: Active Preference-learning based Reinforcement Learning

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

  11. 7 September 2004 John Learned at Pylos ANITA and ASHRAANITA and ASHRA

    E-Print Network [OSTI]

    Learned, John

    Imaging Particle Detector Key TechnologyKey Technology 9M9M--pix. CMOS Sensor Covering 50pix. CMOS Sensor Covering Sensor ChipCMOS Sensor Chip Pixel Cost Reduction by O(10Pixel Cost Reduction by O(1044 )) #12;7 September #12;7 September 2004 John Learned at Pylos Photo 2/3 Scale prototypePhoto 2/3 Scale prototype 2

  12. DECOMMISSIONING CHALLENGES AT THE ROCKY FLATS ENVIRONMENTAL TECHNOLOGY SITE

    SciTech Connect (OSTI)

    Dorr, K. A.; Hoover, J.

    2002-02-25T23:59:59.000Z

    This paper presents a discussion of the demolition of the Building 788 cluster at the Rocky Flats Environmental Technology Site (RFETS) in Golden, Colorado. The Building 788 Cluster was a Resource Conservation and Recovery Act (RCRA) permitted storage facilities and ancillary structures. Topics covered include the methods employed for Project Planning, Regulatory Compliance, Waste Management, Hazard Identification, Radiological Controls, Risk Management, Field Implementation, and Cost Schedule control, and Lessons Learned and Project Closeout.

  13. Department of Energy Technology

    E-Print Network [OSTI]

    Risa-R-482 Department of Energy Technology Annual Progress Report 1 January - 31 December 1982 Ris.1. The Department of Energy Technology 5 1.2. System and Reliability Analysis 6 1.3. Reactor Physics and Dynamics 7 .. 27 2.10. Severe Accident Analysis 30 2.11. The Advanced BWR Emergency Core Cooling Program NOORCOOL

  14. Gasification: A Cornerstone Technology

    SciTech Connect (OSTI)

    Gary Stiegel

    2008-03-26T23:59:59.000Z

    NETL is a leader in the science and technology of gasification - a process for the conversion of carbon-based materials such as coal into synthesis gas (syngas) that can be used to produce clean electrical energy, transportation fuels, and chemicals efficiently and cost-effectively using domestic fuel resources. Gasification is a cornerstone technology of 21st century zero emissions powerplants

  15. Gasification: A Cornerstone Technology

    ScienceCinema (OSTI)

    Gary Stiegel

    2010-01-08T23:59:59.000Z

    NETL is a leader in the science and technology of gasification - a process for the conversion of carbon-based materials such as coal into synthesis gas (syngas) that can be used to produce clean electrical energy, transportation fuels, and chemicals efficiently and cost-effectively using domestic fuel resources. Gasification is a cornerstone technology of 21st century zero emissions powerplants

  16. IITB TECHNOLOGIES DIRECTOR'S MESSAGE

    E-Print Network [OSTI]

    Narayanan, H.

    is useful to companies who are looking to commercialise new technologies and bring them to the market place technologies under different themes of Healthcare, Energy & Environment, Information & Communication of Microelectronics Lab #12;INDEX 1 Healthcare 1.1 An Enlightening Device for Visually Impaired People

  17. NEPA Lessons Learned Questionnaire

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO2:Introduction toManagement of theTechno-economicOctober 2013 -DepartmentLessons Learned

  18. PRESSURE ACTIVATED SEALANT TECHNOLOGY

    SciTech Connect (OSTI)

    Michael A. Romano

    2004-04-01T23:59:59.000Z

    The objective of this project is to develop new, efficient, cost effective methods of internally sealing natural gas pipeline leaks through the application of differential pressure activated sealants. In researching the current state of the art for gas pipeline sealing technologies we concluded that if the project was successful, it appeared that pressure activated sealant technology would provide a cost effective alternative to existing pipeline repair technology. From our analysis of current field data for a 13 year period from 1985 to 1997 we were able to identify 205 leaks that were candidates for pressure activated sealant technology, affirming that pressure activated sealant technology is a viable option to traditional external leak repairs. The data collected included types of defects, areas of defects, pipe sizes and materials, incident and operating pressures, ability of pipeline to be pigged and corrosion states. This data, and subsequent analysis, was utilized as a basis for constructing applicable sealant test modeling.

  19. Technology Strategic Plan 2013 2016 Office of Information Technology

    E-Print Network [OSTI]

    Brinkmann, Peter

    Technology Strategic Plan 2013 ­ 2016 Office of Information Technology June 2013 #12;2 T A B L E O F C O N T E N T S: - Introduction - - Executive Summary - - Terminology - - A Vision for Technology at the City College of New York - - The Mission of the Office for Technology (OIT) - - Technology Guiding

  20. TECHNOLOGY INNOVATION PROGRAM National Institute of Standards and Technology

    E-Print Network [OSTI]

    Magee, Joseph W.

    TECHNOLOGY INNOVATION PROGRAM National Institute of Standards and Technology Gaithersburg, MD 20899 ADVANCED TECHNOLOGIES FOR CIVIL INFRASTRUCTURE The Technology Innovation Program (TIP) at the National Institute of Standards and Technology was established to assist U.S. businesses and institutions of higher