National Library of Energy BETA

Sample records for technology learning parameters

  1. Optimal Online Learning with Matrix Parameters

    E-Print Network [OSTI]

    Nie, Jiazhong

    2015-01-01

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

  2. 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

  3. Instructional Design and Technology (M.S.) Learning Technologies Division

    E-Print Network [OSTI]

    Frantz, Kyle J.

    of instructional technology in an education or training environment. In addition, the applicant must possess basic): IT 7360 Integrating Technology in School-Based Learning Environments (3) IT 8050 Evaluation) IT 8440 eLearning Environments (3) IT 8550 Human Performance Technology (3) Other courses may

  4. Rutgers Business School Master of Information Technology Program Learning Goals

    E-Print Network [OSTI]

    Rutgers Business School Master of Information Technology Program Learning Goals 1. Communication Skills Learning Goal Students graduating with a Master of Information Technology degree will be able relatively complex ideas in an understandable manner. 2. Information Technology Knowledge Learning Goal

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

    E-Print Network [OSTI]

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

    2003-01-01

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

  6. IT Revolution in Learning Technology Riichiro Mizoguchi

    E-Print Network [OSTI]

    Mizoguchi, Riichiro

    IT Revolution in Learning Technology Riichiro Mizoguchi The Institute of Scientific and Industrial@ei.sanken.osaka-u.ac.jp Introduction The change has already begun. It is not a simple change but a Revolution in the sense of speed and its impact. It is called IT(Information Technology) revolution and has been giving great impacts

  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. WORK INTEGRATED LEARNING IN THE FIELD OF INFORMATION TECHNOLOGY

    E-Print Network [OSTI]

    WORK INTEGRATED LEARNING IN THE FIELD OF INFORMATION TECHNOLOGY Work Integrated Learning (WIL for employers participating in WIL in the discipline of information technology. This is a field, where students thinking processes. Resource 3 - Information Technology #12;SOME KEY POINTS ABOUT WIL IN INFORMATION

  9. Machine learning of parameters for accurate semiempirical quantum chemical calculations

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

    Dral, Pavlo O.; von Lilienfeld, O. Anatole; Argonne National Lab.; Thiel, Walter

    2015-04-14

    We investigate possible improvements in the accuracy of semiempirical quantum chemistry (SQC) methods through the use of machine learning (ML) models for the parameters. For a given class of compounds, ML techniques require sufficiently large training sets to develop ML models that can be used for adapting SQC parameters to reflect changes in molecular composition and geometry. The ML-SQC approach allows the automatic tuning of SQC parameters for individual molecules, thereby improving the accuracy without deteriorating transferability to molecules with molecular descriptors very different from those in the training set. The performance of this approach is demonstrated for the semiempiricalmore »OM2 method using a set of 6095 constitutional isomers C7H10O2, for which accurate ab initio atomization enthalpies are available. The ML-OM2 results show improved average accuracy and a much reduced error range compared with those of standard OM2 results, with mean absolute errors in atomization enthalpies dropping from 6.3 to 1.7 kcal/mol. They are also found to be superior to the results from specific OM2 reparameterizations (rOM2) for the same set of isomers. The ML-SQC approach thus holds promise for fast and reasonably accurate high-throughput screening of materials and molecules.« less

  10. Approved by CAST Council CAST Learning Technology Advisory Committee

    E-Print Network [OSTI]

    Branoff, Theodore J.

    Approved by CAST Council 12/3/04 CAST Learning Technology Advisory Committee Provost John Presley and security matters. Other probable functions that may be the purview of a CAST Technology Committee would be to advise the Dean on long term planning for technology; periodically review and suggest revisions to CAST

  11. Expectation Engineering & Technology Management MBA MS in Engineering Learning

    E-Print Network [OSTI]

    Selmic, Sandra

    Expectation Engineering & Technology Management MBA MS in Engineering Learning Opportunities Enhances technical and business management skills Enhanced://coes.latech.edu/assets/Engineering- Management-Degree-Curriculum- 11_29_12.pdf 30 hours (no concentration) 36 hours

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

    E-Print Network [OSTI]

    Gumerman, Etan; Marnay, Chris

    2004-01-01

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

  13. 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 Available online 12 May 2011 Keywords: Extreme learning machine Support vector regression ELM kernel Infinite number of neurons a b s t r a c t Support vector regression (SVR) is a state-of-the-art method

  14. Estimating Building Simulation Parameters via Bayesian Structure Learning

    SciTech Connect (OSTI)

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

    2013-01-01

    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.

  15. 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

  16. 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, ...

  17. 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

  18. Managing technology use and learning in nonprofit community organizations: Methodological challenges and opportunities

    E-Print Network [OSTI]

    Carroll, John M.

    Managing technology use and learning in nonprofit community organizations: Methodological are investigating how to empower nonprofit community organizations to develop the information technology management. These techniques--such as scenario development, technology inventory assessment, and volunteer management practices

  19. RIT General Education Student Learning Outcomes July 2011 Rochester Institute of Technology

    E-Print Network [OSTI]

    Salvaggio, Carl

    accepted scholarly methods and properly acknowledge sources of information Ethical, Social, and GlobalRIT General Education Student Learning Outcomes July 2011 Rochester Institute of Technology General Education Student Learning Outcomes Updated July 2011 Communication Express oneself effectively in common

  20. 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

  1. Vehicle Technologies Office Merit Review 2015: Lessons Learned about Workplace Charging in The EV Project

    Broader source: Energy.gov [DOE]

    Presentation given by Idaho National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation meeting about lessons learned...

  2. ENGINEERING AND TECHNOLOGY DEPARTMENT Inspiring Innovation Learn more at www.uwstout.edu/et/

    E-Print Network [OSTI]

    Wu, Mingshen

    ENGINEERING AND TECHNOLOGY DEPARTMENT Inspiring Innovation Learn more at www.uwstout.edu/et/ Evaluation of Student Learning Outcomes Due to Self-Guided Engineering Analysis of Surroundings Devin R. Berg Engineering & Technology Department University of Wisconsin ­ Stout 16 June 2014 Twitter: @devinberg

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

    E-Print Network [OSTI]

    BT Technology Journal · Vol 22 No 4 · October 2004 253 Affective learning -- a manifesto R W Picard the imbalance by developing theories and technologies in which affect and cognition are appropriately integrated perspective of new research in which computer technology is used to redress the imbalance that was caused (or

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

    E-Print Network [OSTI]

    Larkin, Teresa L.

    TECHNOLOGY AS A TEACHING AND LEARNING TOOL: ASSESSING STUDENT UNDERSTANDING IN THE INTRODUCTORY Washington, DC Abstract The computer and other related technologies are currently being used with vigor within many domains of science, mathematics, engineering, and technology (SMET) education. In this paper

  5. Bicriteria Optimization of Technological Parameters in Algorithm for Designing Magnetic Composites

    E-Print Network [OSTI]

    Krzysztof Sokalski; Barbara ?lusarek; Bartosz Jankowski; Marek Przybylski

    2015-07-27

    Novel algorithm for designing values of technological parameters for production of Soft Magnetic Composites (SMC) has been created. These parameters are the following magnitudes: hardening temperature $T$ and compaction pressure $p$. They enable us to optimize of power losses and induction. The advantage of the presented algorithm consists in the bicriteria optimization. The crucial role in the presented algorithm play scaling and notion of pseudo-state equation. On the base of these items the mathematical models of the power losses and induction have been created. The models parameters have been calculated on the basis of the power losses characteristics and hysteresis loops. The created optimization system has been applied to specimens of Somaloy 500. Obtained output consists of finite set of feasible solutions. In order to select unique solution an example of additional criterion has been formulated.

  6. Watt-Sun: A Multi-Scale, Multi-Model, Machine-Learning Solar Forecasting Technology

    Broader source: Energy.gov [DOE]

    As part of this project, new solar forecasting technology will be developed that leverages big data processing, deep machine learning, and cloud modeling integrated in a universal platform with an...

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

    E-Print Network [OSTI]

    Gan, Thiam Soon

    2011-01-01

    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, ...

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

    E-Print Network [OSTI]

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

  9. Machine Learning Techniques Applied to Sensor Data Correction in Building Technologies

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    and commercial buildings consume 41% of the primary energy (72% electricity) in the U.S. · Retrofitting inefficient buildings with new and innovative technologies that help to curb energy consumption will reduceMachine Learning Techniques Applied to Sensor Data Correction in Building Technologies Matt K

  10. 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...

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

    E-Print Network [OSTI]

    Rand-Nash, Thomas

    2012-01-01

    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 ...

  12. Technical Change Theory and Learning Curves: Patterns of Progress in Energy Technologies

    E-Print Network [OSTI]

    Jamasb, Tooraj

    and offshore wind energy. The emerging technologies have existed for a relatively short time and have achieved a lesser degree of technical progress during the period under consideration. The estimated learning rates for thermal solar power and offshore wind... Elasticity Learning by Doing Research Elasticity Learning by Research Diffusion Year Var. Solar power – thermal Model-II -0.0320*** 2.2% -0.0779*** 5.3% - - - Wind energy – offshore Model-II -0.0151 1.0% -0.0720*** 4.9% - - Cap, Y...

  13. Learning Curves For Energy Technology: A Critical Assessment

    E-Print Network [OSTI]

    Jamasb, Tooraj; Kohler, Jonathan

    hydro 0.48% 2.8% 8 Waste to electricity 41.5% 57.9% 9 Nuclear light water reactor 37.6% 53.2% 10 Wind - onshore 13.1% 15.7% 11 Solar thermal power 2.2% 22.5% 12 Wind – offshore 1.0% 8.3% Table 1: Learning by doing rates using single-factor curves... Farms, Energy Policy, Vol. 33, 133-150. Klassen, G., Miketa, A., Larsen, K., and Sundqvist, T. (2002). The Impact of R&D on Innovation for Wind Energy in Denmark, Germany, and the United Kingdom, paper presented at the International Energy Workshop...

  14. Introducing Embedded Software and Systems Education and Advanced Learning Technology in an Engineering Curriculum

    E-Print Network [OSTI]

    Koutsoukos, Xenofon D.

    an embedded software and systems speciali- zation in the framework of the current Engineering School by the following four factors: 1. Insertion of the embedded software and systems concentration in the engineeringIntroducing Embedded Software and Systems Education and Advanced Learning Technology

  15. Session 2380 TECHNOLOGY AS A TEACHING AND LEARNING TOOL

    E-Print Network [OSTI]

    Larkin, Teresa L.

    IN THE INTRODUCTORY PHYSICS LAB Teresa L. Hein, Sarah E. Irvine Department of Physics/School of Education American 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

  16. In press in ""Robots for Kids: Exploring New Technologies for Learning Experiences" edited by Druin, A. & Hendler, J . Morgan Kaufman Editors.

    E-Print Network [OSTI]

    In press in ""Robots for Kids: Exploring New Technologies for Learning Experiences" edited by Druin in ""Robots for Kids: Exploring New Technologies for Learning Experiences" edited by Druin, A. & Hendler, J: 1) a design based constructionist approach to learning, 2) the use of new technologies

  17. Forecasting technology costs via the Learning Curve - Myth or Magic?

    E-Print Network [OSTI]

    Alberth, Stephan

    Gas Turbine (CCGT) where data provided by Colpier was already converted from ‘costs per installed capacity’ to ‘costs per electricity produced’ (2002). The focus has been on technologies that remained in their growth stages in order to avoid... Electricity Usc(90)/kWh - TWh 1981 1997 15 3.6 Cleason Colpier 2002 Nuclear Instalation US$(90)/W - GW 1975 1993 19 2.0 Kouvaritakis et al. (2000) in M&S 2001 SCGT Instalation US$(90)/W - GW 1956 1981 14 8.9 IIASA-WEC (1998), p.50 Solar Production $/Wp - MWp...

  18. 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.

    1994-09-12

    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.

  19. Landform technology at fort polk, louisiana: lessons learned. Final report

    SciTech Connect (OSTI)

    Smith, J.L.; Grafton, J.D.; Mann, D.K.

    1992-03-01

    Fort Polk, LA, is located in central Vernon Parish in West-Central Louisiana, about 6 miles southeast of the town of Leesville. In early 1983, a combination of factors prompted Fort Polk to explore alternatives for disposing of sewage sludge and contaminated soil. Changes in Louisiana's Solid Waste Rules and Regulations ended the practice of disposing of contaminated soil in the installation's landfill. Changing regulations were also affecting the disposal of sewage sludge. The technology investigated in this research is landfarming, a treatment process in which waste is mixed with the surface soil and is degraded, transformed, or immobilized. The surface soil is used as the treatment medium and the process is based primarily on the principle of aerobic decomposition of organic wastes. Compared to other land disposal treatments such as landfills and surface impoundments, landfarming has the potential to reduce monitoring and maintenance costs, as well as cleanup liabilities. Because of these reduced costs and liabilities, and the relatively low initial and operating costs, landfarming has received much attention as an ultimate disposal alternative.

  20. The new multimedia educational technologies, used in open and distance learning

    E-Print Network [OSTI]

    Penteliuc-Cotosman, Dieter

    2009-01-01

    This paper reviews and refers to the latest telematics technology that has turned the open system learning and helped it to become an institutional alternative to the face-to-face traditional one. Most technologies, briefly presented here, will be implemented in the "ARTeFACt" project - telematic system for vocational education system of open system learning, system which will be officially launched at the end of 2006, in the institutional offer of the Faculty of Arts of the University West of Timisoara. The scientific coordination of the doctoral project "ARTeFACt" is done by Mr. Prof. Dr. Eng. Savi G. George, representing the Department of Mechatronics Faculty of Mechanical Engineering from the University "Politehnica" of Timisoara, Romania

  1. Parameter variation and scenario analysis in impact assessments of emerging energy technologies

    E-Print Network [OSTI]

    Breunig, Hanna Marie

    2015-01-01

    Resource Technologies, Llc). Fly ash composition. US Patentproduction (4 to 11%), fly ash mineralization (4 to 10%),production (4 to 11%), fly ash mineralization (4 to 10%),

  2. Parameter variation and scenario analysis in impact assessments of emerging energy technologies

    E-Print Network [OSTI]

    Breunig, Hanna Marie

    2015-01-01

    Prakash, G.K.S. Beyond Oil and Gas: The Methanol Economy;of technologies for oil and gas produced water treatment.Offsite commercial disposal of oil and gas exploration and

  3. 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, Larissa with technology. In the RoBallet environment children choreograph dance movements while wearing sensorsBallet environment as an interesting area for learning in a variety of domains through augmenting performing arts

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

    SciTech Connect (OSTI)

    Kayran, D.

    2010-02-01

    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.

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

    E-Print Network [OSTI]

    Hales, Tyler James

    2010-01-01

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

  6. 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

    2005-11-01

    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 1 trillion dollars...

  7. Lessons Learned In Technology Development for Supplemental Treatment of Low-Activity Waste at Hanford

    SciTech Connect (OSTI)

    Biyani, R.K. [Washington State Department of Ecology, Richland, WA (United States)

    2008-07-01

    Hanford needs supplemental technology treatment of low-activity waste (LAW) in addition to the Waste Treatment Plant (WTP). The Washington State Department of Ecology requires that supplemental technology provide the same protection to human health and the environment as WTP LAW glass. In 2002, the U.S. Department of Energy (US DOE) evaluated supplemental treatment technologies for LAW treatment and looked more closely at three: bulk vitrification (BV), steam reforming, and tailored cementitious stabilization. US DOE with Ecology's support chose to design and test BV because it believed BV would offer rapid deployment, low cost, and waste stream versatility. This paper will describe the path taken in choosing and developing technologies for additional LAW treatment capacity and, more importantly, the lessons learned along the way. In conclusion: Contractors' off-the-shelf vitrification technology that worked elsewhere may not apply easily to Hanford's waste challenges. The BV development process could have been improved by first identifying and then focusing on primary areas of concern. Continuing integrated tests at the Horn Rapids facility offers a convenient option to test both the dryer and the SMF. But the plan for development of the SMF must be short term with well defined success criteria. US DOE has the responsibility to carefully evaluate each proposal and make critical decisions that will make optimum use of limited funds. The ERP provided valuable technical guidance on improving BV's design. This must be complemented by a similar study of cost effectiveness of a process. We must have a better understanding of life cycle costs before a path for supplemental treatment is chosen. US DOE has now gained five years of experience in developing BV. It is time for US DOE to make defensible economic evaluations before further funding towards developing supplemental treatment. It must reevaluate if the projected advantages of rapid deployment, low cost, and waste stream versatility are still valid. The decision-making methodology US DOE uses to approve designs as part of its Critical Decision Process appears rigorous and useful. Looking ahead, Ecology expects US DOE will use lessons learned from BV and other testing in a concerted manner as part of their decision-making process. The success of Hanford's cleanup depends on it. (authors)

  8. Pearls of Wisdom : technology for intentional reflection and learning in constructionist cooperatives

    E-Print Network [OSTI]

    Chapman, Robbin Nicole, 1958-

    2006-01-01

    At the core of the constructionist learning paradigm is the idea that people learn through design experiences. However, in most settings, learners rarely revisit their work to reflect on design and learning processes. The ...

  9. Technology for Just-In-Time In-Situ Learning of Facial Affect for Persons Diagnosed with an Autism Spectrum

    E-Print Network [OSTI]

    Technology for Just-In-Time In-Situ Learning of Facial Affect for Persons Diagnosed with an Autism@media.mit.edu ABSTRACT Many first-hand accounts from individuals diagnosed with autism spectrum disorders (ASD) highlight and behavioral sciences ­ psychology. General Terms Design, Experimentation, Human Factors. Keywords Autism

  10. Technology Investment Roadmap 2012 -2017

    E-Print Network [OSTI]

    Hickman, Mark

    Technology Investment Roadmap 2012 - 2017 20 February 2012 #12;2 Contents Introduction & Overview ............................................................................................ 8 Trend 3: Technology Enabled Learning .................................................................................................... 16 2. Technology enabled learning and teaching

  11. Accounting for Technological Change in Regulatory Impact Analyses: The Learning Curve Technique

    E-Print Network [OSTI]

    Taylor, Margaret

    2014-01-01

    N ATIONAL L ABORATORY Accounting for Technological Change inopportunity employer. Accounting for Technological Change inbest available techniques” for accounting for innovation in

  12. 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.

    2006-12-01

    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.

  13. 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

  14. Saeed, N., Yang, Y., & Sinnappan, S. (2009). Emerging Web Technologies in Higher Education: A Case of Incorporating Blogs, Podcasts and Social Bookmarks in a Web Programming Course based on Students' Learning Styles and Technology Preferences.

    E-Print Network [OSTI]

    Yang, Yun

    2009-01-01

    at kinshuk@ieee.org. Emerging Web Technologies in Higher Education: A Case of Incorporating Blogs, PodcastsSaeed, N., Yang, Y., & Sinnappan, S. (2009). Emerging Web Technologies in Higher Education: A Case of Incorporating Blogs, Podcasts and Social Bookmarks in a Web Programming Course based on Students' Learning

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

    E-Print Network [OSTI]

    Wright, Janelle N., 1978-

    2003-01-01

    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 ...

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

    E-Print Network [OSTI]

    Yee, Susan, 1966-

    2001-01-01

    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 ...

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

    E-Print Network [OSTI]

    Kar, Ashish M. (Ashish Mohan)

    2007-01-01

    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 ...

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

    E-Print Network [OSTI]

    Palazzolo, Jerome J

    2005-01-01

    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 ...

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

    E-Print Network [OSTI]

    Meyer, Albert R.

    . Applied research and development: Support for continuing improvement in education. Daedalus, Fall 1998, p. 239. 9 replace by Tech Talk slide 10 MIT/Singapore Distance Learning Project Develop and teach three

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

    E-Print Network [OSTI]

    Hunter, Starling David, III

    2003-08-22

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

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

    E-Print Network [OSTI]

    Karp, Larry S.

    . An agent who is less 1 #12;familiar with the existing technology has a lower opportunity cost of adopting technology and under the next best alternative, i.e. on the opportunity cost of adoption. The opportunity cost of adoption may be higher for the more advanced ¿rms, because of their pro¿ciency in using the old

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

    E-Print Network [OSTI]

    Mukora, Audrey Etheline

    2014-06-30

    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 ...

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

    E-Print Network [OSTI]

    Yeh, Sonia; Rubin, Edward S.

    2007-01-01

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

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

    E-Print Network [OSTI]

    Witinski, Paul (Paul F.)

    2010-01-01

    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 ...

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

    E-Print Network [OSTI]

    Srinivas, Smita

    2004-01-01

    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 ...

  6. Student Grouping Strategies In Technology Rich Learning Environments At The Intermediate Grade Level

    E-Print Network [OSTI]

    Craig Hare, Jana

    2011-04-18

    in the classroom, the differences were not statistically significant throughout the school year. When analyzed between years, technology rich classrooms showed an increase between Year 1 and Year 2 in Mixed Groups. The results of the correlational analysis...

  7. Monte-Carlo Modeling of Parameters of a Subcritical Cascade Reactor Based on MSBR and LMFBR Technologies

    E-Print Network [OSTI]

    Bznuni, S A; Zhamkochyan, V M; Polanski, A; Sosnin, A N; Khudaverdyan, A H

    2001-01-01

    Parameters of a subcritical cascade reactor driven by a proton accelerator and based on a primary lead-bismuth target, main reactor constructed analogously to the molten salt breeder (MSBR) reactor core and a booster-reactor analogous to the core of the BN-350 liquid metal cooled fast breeder reactor (LMFBR). It is shown by means of Monte-Carlo modeling that the reactor under study provides safe operation modes (k_{eff}=0.94-0.98), is apable to transmute effectively radioactive nuclear waste and reduces by an order of magnitude the requirements on the accelerator beam current. Calculations show that the maximal neutron flux in the thermal zone is 10^{14} cm^{12}\\cdot s^_{-1}, in the fast booster zone is 5.12\\cdot10^{15} cm^{12}\\cdot s{-1} at k_{eff}=0.98 and proton beam current I=2.1 mA.

  8. 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

    dynamic OU experience. It promotes dynamic learning experiences, enhances services to students, lowers the cost of education for students, taps the creativity of OU research, builds OU's national and international brand as an innovative university, and implements investments in OU's information technology

  9. Technolog

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

    focuses on multi-scale, multiphysics approaches to understanding natural systems, "engineering the earth" with sensing and drilling technologies and characterizing geomaterials...

  10. Machine Learning Techniques Applied to Sensor Data Correction in Building Technologies

    SciTech Connect (OSTI)

    Smith, Matt K [ORNL] [ORNL; Castello, Charles C [ORNL] [ORNL; New, Joshua Ryan [ORNL] [ORNL

    2013-01-01

    Since commercial and residential buildings account for nearly half of the United States' energy consumption, making them more energy-efficient is a vital part of the nation's overall energy strategy. Sensors play an important role in this research by collecting data needed to analyze performance of components, systems, and whole-buildings. Given this reliance on sensors, ensuring that sensor data are valid is a crucial problem. Solutions being researched are machine learning techniques, namely: artificial neural networks and Bayesian Networks. Types of data investigated in this study are: (1) temperature; (2) humidity; (3) refrigerator energy consumption; (4) heat pump liquid pressure; and (5) water flow. These data are taken from Oak Ridge National Laboratory's (ORNL) ZEBRAlliance research project which is composed of four single-family homes in Oak Ridge, TN. Results show that for the temperature, humidity, pressure, and flow sensors, data can mostly be predicted with root-mean-square error (RMSE) of less than 10% of the respective sensor's mean value. Results for the energy sensor are not as good; RMSE are centered about 100% of the mean value and are often well above 200%. Bayesian networks have RSME of less than 5% of the respective sensor's mean value, but took substantially longer to train.

  11. Technology Support Bob Davis

    E-Print Network [OSTI]

    Technology Support Services · Bob Davis · Associate Director User Support Services 1 #12;Technology Support Services · NUIT Technology Support Services (TSS) helps Northwestern faculty, staff, and students Technologies · Brian Nielsen · Project Manager Faculty Initiatives 8 #12;Support for Teaching & Learning

  12. Technologies

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired Solar Fuel ProductionRecoverable15/2008Technologies Technologies

  13. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired Solar FuelTechnology /newsroom/_assets/images/s-icon.png Technology

  14. Technologies

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With U.S. CoalMexico IndependentMatter and Technologies R&D

  15. English language learners' reading self-efficacy and achievement using 1:1 mobile learning devices

    E-Print Network [OSTI]

    Walters, Jennifer L.

    2012-01-01

    when mobile learning devices and mobile learning tasks areinteraction with mobile devices and services. SpringerTechnology Learning Devices Mobile learning devices afford

  16. MaDE students will learn all aspects of product realization from product design to manufacturing technologies and operations. Through hands-on experience, the program will provide students with the ability to integrate various design and manufacturing pro

    E-Print Network [OSTI]

    Bustamante, Fabián E.

    prototyping technology into mainstream manufacturing processes 3. Training a workforce to use lean designMaDE students will learn all aspects of product realization from product design to manufacturing to integrate various design and manufacturing processes into an effective system. Information Technology HOW

  17. 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;...

  18. 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...

  19. Technology Application Centers: Facilitating Technology Transfer 

    E-Print Network [OSTI]

    Kuhel, G. J.

    1994-01-01

    Industrial DSM programs cannot succeed unless customers learn about and implement new technologies in a timely manner. Why? Because this expeditious transfer of new technologies represents the key challenge for the 1990s. This paper explores...

  20. Workshop on Computer Science and Information Technologies CSIT'2002, Patras, Greece, 2002 Intelligent Educational Systems for Individualized Learning

    E-Print Network [OSTI]

    Workshop on Computer Science and Information Technologies CSIT'2002, Patras, Greece, 2002 of Computer Engineering & Informatics University of Patras Patras, Greece & Computer Technology Institute Patras, Greece prentzas@ceid.upatras.gr, ihatz@cti.gr, ihatz@ceid.upatras.gr Abstract In this paper, we

  1. ISET Journal of Earthquake Technology, Paper No. 515, Vol. 48, No. 1, March 2011, pp. 2960 INVESTIGATION AND ANALYSIS OF SEISMIC WAVE PARAMETERS

    E-Print Network [OSTI]

    Gupta, Vinay Kumar

    ISET Journal of Earthquake Technology, Paper No. 515, Vol. 48, No. 1, March 2011, pp. 29*, Yucheng Liu**, Yonglin Xu*, Chun Zhang*, Huan Zhang*, Weidong Shen* and Weixing Zhong* *Earthquake of Louisiana Lafayette, LA 70504, U.S.A. ABSTRACT Four earthquakes with magnitudes around M 6.0, which occurred

  2. Information Technology Division October 28, 2011

    E-Print Network [OSTI]

    Rock, Chris

    Information Technology Division October 28, 2011 1 INFORMATION TECHNOLOGY DIVISION STRATEGIC PLAN MISSION STATEMENT The Information Technology Division provides reliable, contemporary, and integrated technology to support and facilitate teaching, learning, research, and service. VISION STATEMENT

  3. Optimal Online Learning with Matrix Parameters

    E-Print Network [OSTI]

    Nie, Jiazhong

    2015-01-01

    i ? 0, where the last inequality is by the dual feasibilityAuxiliary Lemmas Lemma 2.11. Inequality max{min{a, b}, c} ?and RHS is b. Hence, the inequality holds. If a ? c ? b or b

  4. Optimal Online Learning with Matrix Parameters

    E-Print Network [OSTI]

    Nie, Jiazhong

    2015-01-01

    Karthik Sridharan, and Ambuj Tewari. Smoothness, low noiseKarthik Sridharan, and Ambuj Tewari. On the universal- ityKarthik Sridharan and Ambuj Tewari. Convex games in banach

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

    E-Print Network [OSTI]

    Irby, Travis Lee

    2014-02-03

    Mobile learning is a fast growing form of technology-based learning. The novelty of mobile learning means educators are trying to understand how to develop instruction for this technological medium. A Delphi study was conducted using a panel...

  6. Wireless bridges : the laptop experience in the learning environment

    E-Print Network [OSTI]

    Lee, Sophia J. (Sophia Juhee), 1977-

    2003-01-01

    The Laptop experience has changed the way people work and interact with learning space. The integration of technology in learning environments affects the usage of space and produces new learning patterns. However, new ...

  7. Technical Workshop: Annual Merit Review Lessons Learned on Alternative...

    Office of Environmental Management (EM)

    The meeting reviewed the lessons learned from the Vehicle Technologies OfficeFuel Cell Technologies Office Annual Merit Review (AMR) with regard to alternative...

  8. 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

    2009-05-15

    with the inquiry elements, lessons involved fundamental concepts of the subject; lessons were designed to engage students as members of a learning community; lessons promoted strong conceptual understanding; and elements of abstraction were encouraged when...

  9. Division of Information Technology University of Maryland 1 Creating and Managing Content

    E-Print Network [OSTI]

    Yorke, James

    Creating and Managing Content in ELMS DIT Learning Technology ServiceDivision of Information Technology ©University of Maryland 1 #12;Division of Information Technology ©University of Maryland 2

  10. MACHINE LEARNING REINFORCEMENT LEARNING

    E-Print Network [OSTI]

    Fleuret, François

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

  11. FEMP Offers New Training Series on Renewable Energy Technologies...

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

    the grid. By completing the series, participants will learn to: Understand geographicclimate considerations, renewable energy technology capabilities and constraints, and...

  12. BULGARIAN ACADEMY OF SCIENCES CYBERNETICS AND INFORMATION TECHNOLOGIES Volume 12, No 4

    E-Print Network [OSTI]

    Borissova, Daniela

    25 BULGARIAN ACADEMY OF SCIENCES CYBERNETICS AND INFORMATION TECHNOLOGIES · Volume 12, No 4 Sofia · 2012 Technology Enhanced Learning for Humanities by Active Learning - The SINUS Project Approach Gennady Agre, Danail Dochev, Liliana Slavkova Institute of Information and Communication Technologies

  13. 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)

    2013-07-01

    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)

  14. 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

  15. Developing a Multi-Agent system for a Blended Learning application

    E-Print Network [OSTI]

    Ziegler, Günter M.

    in the traditional learning. Among the technologies to use in a blended learning session we can find blogs, wikis, on, usable and sustainable multimedia technology for collaborative learning. 1.1 Introduction Actually, teaching is supported by multimedia technologies at different levels; videlicet, the technology used

  16. District Energy Technologies | Department of Energy

    Office of Environmental Management (EM)

    through the centralized system. District energy systems often operate with combined heat and power (CHP) and waste heat recovery technologies. Learn more about district energy...

  17. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL research done at the Center for Biological & Computational Learning and the Artificial Intelligence

  18. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL and Computational Learning in the Department of Brain and Cognitive Sciences and at the Artificial Intelligence

  19. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL for Biological and Computational Learning and the Artificial Intelligence Laboratory of the Massachusetts

  20. Fuel Cell Technologies Office Information Resources | Department...

    Energy Savers [EERE]

    Information Resources Fuel Cell Technologies Office Information Resources Learn about hydrogen and fuel cells, find publications and technical information, view and download...

  1. MSc degree in Water Technology

    E-Print Network [OSTI]

    Painter, Kevin

    MSc degree in Water Technology and Desalination This unique new degree aims to educate students who can take on leading roles in the development of technologies to provide safe, accessible freshwater with a reputation for excellence. Flexible distance learning The Water Technology and Desalination programme has

  2. Blind quantum machine learning

    E-Print Network [OSTI]

    Yu-Bo Sheng; Lan Zhou

    2015-07-26

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

  3. Watt-Sun: A Multi-Scale, Multi-Model, Machine-Learning Solar...

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

    Watt-Sun: A Multi-Scale, Multi-Model, Machine-Learning Solar Forecasting Technology Watt-Sun: A Multi-Scale, Multi-Model, Machine-Learning Solar Forecasting Technology IBM logo.png...

  4. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousand CubicResourcelogo and-E C H N ILessons LearnedAlternative

  5. 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,

  6. Technology Assessment TECHNOLOGY ASSESSMENT

    E-Print Network [OSTI]

    Rock, Chris

    Technology Assessment 10/14/2004 1 TECHNOLOGY ASSESSMENT STRATEGIC PLAN MISSION STATEMENT Support the Mission of Texas Tech University and the TTU Information Technology Division by providing timely and relevant information and assistance in current and emerging technologies and their practical applications

  7. Bioscience Technology Bioscience Technology

    E-Print Network [OSTI]

    Vertes, Akos

    Bioscience Technology Bioscience Technology Advantage Business Media 100 Enterprise Drive Rockaway, co-director of George Washington University's Institute for Proteomics Technology and Applications-by-point. Manufacturers have stampeded to offer the new technology. Applied Biosystems got out in front in 2004 when

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

    E-Print Network [OSTI]

    Hanafi, Hafizul Fahri

    2012-01-01

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

  9. APS Storage Ring Parameters

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

    next up previous Next: 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...

  10. Applying reservoir characterization technology

    SciTech Connect (OSTI)

    Lake, L.W.

    1994-12-31

    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.

  11. 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

  12. 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.

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

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

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

  14. 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.

    2014-11-01

    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.

  15. Energy 101: Fuel Cell Technology

    ScienceCinema (OSTI)

    None

    2014-06-06

    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.

  16. Energy 101: Fuel Cell Technology

    SciTech Connect (OSTI)

    2014-03-11

    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.

  17. Learning from history: Adaptive calibration of 'tilting spine' fiber positioners

    E-Print Network [OSTI]

    Gilbert, James

    2015-01-01

    This paper discusses a new approach for determining the calibration parameters of independently-actuated optical fibers in multi-object astronomical fiber positioning systems. This work comes from the development of a new type of piezoelectric motor intended to enhance the 'tilting spine' fiber positioning technology originally created by the Australian Astronomical Observatory. Testing has shown that the motor's performance can vary depending on the fiber's location within its accessible field, meaning that an individual fiber is difficult calibrate with a one-time routine. Better performance has resulted from constantly updating calibration parameters based on the observed movements of the fiber during normal closed-loop positioning. Over time, location-specific historical data is amassed that can be used to better predict the results of a future fiber movement. This is similar to a technique previously proposed by the Australian Astronomical Observatory, but with the addition of location-specific learning....

  18. 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 (ITSAuthentic inquiry in STEM and education Information technology & STEM: simulation, visualization,Information

  19. MIXED REALITY ENVIRONMENT FOR WEB-BASED LABORATORY INTERACTIVE LEARNING Mixed Reality Environment for Web-Based

    E-Print Network [OSTI]

    MIXED REALITY ENVIRONMENT FOR WEB-BASED LABORATORY INTERACTIVE LEARNING Mixed Reality Environment reality environment, Laboratory learning, Fuzzy logic, Learner modeling. I. INTRODUCTION Advances in computers and communication technology have changed traditional methods for learning and skills training

  20. Jots : cultivating reflective learning in scratch

    E-Print Network [OSTI]

    Rosenbaum, Eric (Eric Ross)

    2009-01-01

    This thesis introduces the Jots system, a new technology designed to engage children in reflective learning as they work on design projects. Jots enables children to create brief updates, or "jots," describing their ...

  1. Pronunciation learning for automatic speech recognition

    E-Print Network [OSTI]

    Badr, Ibrahim

    2011-01-01

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

  2. Active Learning in Persistent Surveillance UAV Missions

    E-Print Network [OSTI]

    Redding, Joshua

    The performance of many complex UAV decision-making problems can be extremely sensitive to small errors in the model parameters. One way of mitigating this sensitivity is by designing algorithms that more effectively learn ...

  3. 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

    2015-01-01

    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...

  4. 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

  5. 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

  6. Search the UWUW HOME DIRECTORIES CALENDAR MAPS MY UW Information technology tools and resources at the UW

    E-Print Network [OSTI]

    Doty, Sharon Lafferty

    , maintenance services and access management for general use classrooms and facilities. Collaboration Studios to software. Canvas Learning Management System Learning management system for facilitating courses, learning, and research Classroom Facilities Services Educational technology support, equipment, furniture

  7. Fuel Cell Comparison of Distributed Power Generation Technologies...

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

    Analysis of Hydrogen-Powered Fuel-Cell Systems with the GREET Model Lessons Learned from SOFCSOEC Development Solid Oxide Fuel Cell (SOFC) Technology for Greener Airplanes...

  8. BE BOUNDLESS INNOVATORS AMONG US: USING TECHNOLOGY

    E-Print Network [OSTI]

    Matrajt, Graciela

    BE BOUNDLESS UW.EDU INNOVATORS AMONG US: USING TECHNOLOGY TO ENGAGE STUDENTS November 2014 Faculty, online discussions, and other teaching technologies both to improve learning for their students Phil Reid, Professor of Chemistry and Associate Vice Provost, UW Information Technology (UW

  9. Deep Learning & Neural Networks Graduate School of Information Science

    E-Print Network [OSTI]

    Duh, Kevin

    Deep Learning & Neural Networks Lecture 1 Kevin Duh Graduate School of Information Science Nara Institute of Science and Technology Jan 14, 2014 #12;2/40 #12;3/40 #12;4/40 #12;What is Deep Learning? A family of methods that uses deep architectures to learn high-level feature representations 5/40 #12;What

  10. Alignment-based Transfer Learning for Robot Models

    E-Print Network [OSTI]

    Alignment-based Transfer Learning for Robot Models Botond B´ocsi Lehel Csat´o Jan Peters Abstract-- Robot manipulation tasks require on robot mod- els. When exact physical parameters of the robot are not available, learning robot models from data becomes an ap- pealing alternative. Most learning approaches

  11. Faience Technology

    E-Print Network [OSTI]

    Nicholson, Paul

    2009-01-01

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

  12. Aspects of a Collaborative Learning Environment using Distributed Virtual Environments

    E-Print Network [OSTI]

    the last few years to incorporate information technology in the learning environment. The growing needAspects of a Collaborative Learning Environment using Distributed Virtual Environments C. Bouras, Computer Engineering and Informatics Dept., Univ. of Patras & Computer Technology Institute GR-26500 Rion

  13. A social learning particle swarm optimization algorithm for scalable optimization

    E-Print Network [OSTI]

    Jin, Yaochu

    into particle swarm optimization (PSO) to develop a social learning PSO (SL-PSO). Unlike classical PSO variants in the proposed SL-PSO learns from any better particles (termed demonstrators) in the current swarm. In addition, to ease the burden of parameter settings, the proposed SL-PSO adopts a dimension-dependent parameter

  14. 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

  15. Parameter Estimation Through Ignorance

    E-Print Network [OSTI]

    Hailiang Du; Leonard A. Smith

    2012-06-06

    Dynamical modelling lies at the heart of our understanding of physical systems. Its role in science is deeper than mere operational forecasting, in that it allows us to evaluate the adequacy of the mathematical structure of our models. Despite the importance of model parameters, there is no general method of parameter estimation outside linear systems. A new relatively simple method of parameter estimation for nonlinear systems is presented, based on variations in the accuracy of probability forecasts. It is illustrated on the Logistic Map, the Henon Map and the 12-D Lorenz96 flow, and its ability to outperform linear least squares in these systems is explored at various noise levels and sampling rates. As expected, it is more effective when the forecast error distributions are non-Gaussian. The new method selects parameter values by minimizing a proper, local skill score for continuous probability forecasts as a function of the parameter values. This new approach is easier to implement in practice than alternative nonlinear methods based on the geometry of attractors or the ability of the model to shadow the observations. New direct measures of inadequacy in the model, the "Implied Ignorance" and the information deficit are introduced.

  16. 4/5/2004 JHU-APL 1 Machine LearningMachine Learning

    E-Print Network [OSTI]

    Chang, Edward Y.

    4/5/2004 JHU-APL 1 Machine LearningMachine Learning forfor Image RetrievalImage Retrieval Edward Chang Associate Professor, Electrical Engineering, UC Santa Barbara CTO, VIMA Technologies #12;4/5/2004 JHU-APL 2 Are They Similar? #12;4/5/2004 JHU-APL 3 Are They Similar? In terms of what? Is Tiger Woods

  17. Storage Ring Parameters

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque|SensitiveAprilPhoton Source Parameters Storage Ring Parameters

  18. Innovative Mobile Technologies for Asset Tracking 

    E-Print Network [OSTI]

    Liko, W.

    2013-01-01

    - 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 orders to space & occupancy...

  19. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL and Computa­ tional Learning, and the Artificial Intelligence Laboratory of the Massachusetts Institute for the laboratory's artificial intelligence research is provided in part by the Advanced Research Projects Agency

  20. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL vision tasks, including the computation of image correspondence, object verification, image synthesis at the Artificial Intelligence Laboratory and within the Center for Biological and Computational Learning

  1. Gerd Kortemeyer Explorations in Instructional Technology

    E-Print Network [OSTI]

    Gerd Kortemeyer Explorations in Instructional Technology Brownbag Seminar February 2011 #12; Today into the LON-CAPA course management functionality #12;Full featured course management system Discussions Drop Discussions Time Management #12; Shared Learning Content Management #12; Randomized problems: different

  2. Estimating Building Simulation Parameters via Bayesian Structure Learning

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    sophisti- cated computer simulations such as EnergyPlus (E+), the DOE flagship whole-building energy, Probabilistic Inference, Big Data 1. INTRODUCTION EnergyPlus is currently DOE's flagship whole-building en- ergy

  3. Enhancing student learning... Technology-Enhanced

    E-Print Network [OSTI]

    Ottino, Julio M.

    the University Data Centers, offer researchers a cost-effective, secure, and reliable solution to hosting of advanced computing, visualization, storage, network, and grid resources. One-on-one consultation related-related issues including Canvas, Smart Classrooms, NetID account information, NetID password resets, and Laptop

  4. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesof EnergyY-12Working withPhoto of theSolarHydrogenPhotovoltaic

  5. Distributed parameter model simulation tool for PEM fuel cells

    E-Print Network [OSTI]

    Batlle, Carles

    for proton exchange membrane fuel cells (PEMFC) has been developed, based on a distributed parameter model and durability of PEMFC. Keywords: PEMFC, distributed parameter modeling, dynamic simulation 1. Introduction The proton exchange membrane fuel cells (PEMFC) technology has been incorporated to a wide range of portable

  6. Parameterizing the Deceleration Parameter

    E-Print Network [OSTI]

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

    2012-12-31

    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.

  7. 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

  8. Technology transfer 1995

    SciTech Connect (OSTI)

    Not Available

    1995-01-01

    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.

  9. Agilent Technologies Agilent 4155C

    E-Print Network [OSTI]

    Wager, John F.

    Agilent 4155C/4156C Sample Application Programs Guide Book, Edition 1 1. V-RAMP Theory of V-Ramp Test Semiconductor Parameter Analyzer Sample Application Programs Guide Book #12;Notices © Agilent Technologies 2001 Number 04156-90070 Edition Edition 1, January 2001 Agilent Technologies 5301 Stevens Creek Blvd Santa

  10. Storage Ring Parameters

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque|SensitiveAprilPhoton Source Parameters Storage Ring

  11. Storage Ring Parameters

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effect Photovoltaics -7541C.3X-rays3 Prepared by:'!TransportStorage Ring Parameters

  12. Photon Source Parameters

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass mapSpeeding access| DepartmentPeerFederal FleetUp in thePhoton Source Parameters Print

  13. Photon Source Parameters

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass mapSpeeding access| DepartmentPeerFederal FleetUp in thePhoton Source Parameters

  14. Exploration Technologies - Technology Needs Assessment

    SciTech Connect (OSTI)

    Greene, Amanda I.; Thorsteinsson, Hildigunnur; Reinhardt, Tim; Solomon, Samantha; James, Mallory

    2011-06-01

    This assessment is a critical component of ongoing technology roadmapping efforts, and will be used to guide the Geothermal Technology Program's research and development.

  15. Design, implementation, and evaluation of a social learning network for Chess

    E-Print Network [OSTI]

    Shen, Shen S.M. Massachusetts Institute of Technology

    2014-01-01

    Abstract This thesis demonstrates how an active team environment, enabled by educational technology, enhances an individual's learning experience. With the inspiration and insight from international chess Grandmaster Maurice ...

  16. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1611 June and Cognitive Sciences, the Center for Biological and Computational Learning and the Artificial Intelligence Laboratory of the Massachusetts Institute of Technology. Support for the artificial intelligence research

  17. Thermally Activated Technologies Technology Roadmap, May 2003...

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

    Thermally Activated Technologies Technology Roadmap, May 2003 Thermally Activated Technologies Technology Roadmap, May 2003 The purpose of this Technology Roadmap is to outline a...

  18. BULGARIAN ACADEMY OF SCIENCES CYBERNETICS AND INFORMATION TECHNOLOGIES Volume 13, No 3

    E-Print Network [OSTI]

    Borissova, Daniela

    91 BULGARIAN ACADEMY OF SCIENCES CYBERNETICS AND INFORMATION TECHNOLOGIES · Volume 13, No 3 Sofia and Communication Technologies, 1113 Sofia Emails: {dichevc, dichevad}@wssu.edu agre@iinf.bas.bg galia@lmlbas.bg Abstract: Online learning is one of the fastest growing trends in Technology- Enhanced Learning (TEL

  19. The energy balancing parameter

    E-Print Network [OSTI]

    Walton R. Gutierrez

    2011-05-10

    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

  20. Learning Center | Argonne National Laboratory

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you notHeat PumpsTechnologies | BlandineTechnologiesLearn AboutArgonne

  1. National Wind Distance Learning Collaborative

    SciTech Connect (OSTI)

    Dr. James B. Beddow

    2013-03-29

    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.

  2. Learning Curve

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

    1997-03-28

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

  3. History of nuclear technology development in Japan

    SciTech Connect (OSTI)

    Yamashita, Kiyonobu

    2015-04-29

    Nuclear technology development in Japan has been carried out based on the Atomic Energy Basic Act brought into effect in 1955. The nuclear technology development is limited to peaceful purposes and made in a principle to assure their safety. Now, the technologies for research reactors radiation application and nuclear power plants are delivered to developing countries. First of all, safety measures of nuclear power plants (NPPs) will be enhanced based on lesson learned from TEPCO Fukushima Daiichi NPS accident.

  4. Course info Machine Learning

    E-Print Network [OSTI]

    Shi, Qinfeng "Javen"

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

  5. 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

  6. Evaluating a Virtual Learning Environment in Medical Education 

    E-Print Network [OSTI]

    Ellaway, Rachel Helen

    The use of technology-supported teaching and learning in higher education has moved from a position of peripheral interest a few years ago to become a fundamental ingredient in the experience of many if not most students ...

  7. Fuel Cells Today: Early Market Applications and Learning Demonstrations

    SciTech Connect (OSTI)

    2015-09-09

    This MP3 provides an overview of early market fuel cell applications including today's commercially available fuel cells and "learning demonstrations" to validate fuel cell technology in real world conditions.

  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.

    2012-05-01

    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. Hydrocarbon Reservoir Parameter Estimation Using

    E-Print Network [OSTI]

    van Vliet, Lucas J.

    Hydrocarbon Reservoir Parameter Estimation Using Production Data and Time-Lapse Seismic #12;#12;Hydrocarbon Reservoir Parameter Estimation Using Production Data and Time-Lapse Seismic PROEFSCHRIFT ter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Recovery process . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.3 Field

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

    E-Print Network [OSTI]

    Chang, Ruei-Ping

    2013-08-12

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

  11. Non-Constant Learning Rates in Retrospective Experience Curve Analyses and their Correlation to Deployment Programs

    Broader source: Energy.gov [DOE]

    This work provides retrospective experience curves and learning rates for several energy-related technologies, each of which have a known history of federal and state deployment programs. We derive learning rates for eight technologies including energy efficient lighting technologies, stationary fuel cell systems, and residential solar photovoltaics, and provide an overview and timeline of historical deployment programs such as state and federal standards and state and national incentive programs for each technology.

  12. 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

  13. Deep Learning & Neural Networks Graduate School of Information Science

    E-Print Network [OSTI]

    Duh, Kevin

    Deep Learning & Neural Networks Lecture 2 Kevin Duh Graduate School of Information Science Nara Institute of Science and Technology Jan 16, 2014 #12;Today's Topics 1 General Ideas in Deep Learning Motivation for Deep Architectures and why is it hard? Main Breakthrough in 2006: Layer-wise Pre-Training 2

  14. 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

  15. 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

  16. 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

  17. 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

  18. Learning Nonlinear Dynamical Systems using an EM Algorithm

    E-Print Network [OSTI]

    Edinburgh, University of

    Learning Nonlinear Dynamical Systems using an EM Algorithm Zoubin Ghahramani and Sam T. Roweis present a generalization of the EM algorithm for parameter estimation in nonlinear dynamical systems Nonlinear Dynamical Systems We examine inference and learning in discrete-time dynamical systems with hidden

  19. Comparison of two optimization methods to derive energy parameters for protein folding

    E-Print Network [OSTI]

    Domany, Eytan

    Comparison of two optimization methods to derive energy parameters for protein folding: perceptron potential, perceptron, Z­score 1 #12; Abstract Two methods were proposed recently to derive energy, by means of a perceptron learning scheme, energy parameters such that the native conformations have lower

  20. 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

    2003-12-17

    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.

  1. 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

  2. Virtual Astronomy, Information Technology, and the New Scientific Methodology

    E-Print Network [OSTI]

    S. G. Djorgovski

    2005-04-28

    All sciences, including astronomy, are now entering the era of information abundance. The exponentially increasing volume and complexity of modern data sets promises to transform the scientific practice, but also poses a number of common technological challenges. The Virtual Observatory concept is the astronomical community's response to these challenges: it aims to harness the progress in information technology in the service of astronomy, and at the same time provide a valuable testbed for information technology and applied computer science. Challenges broadly fall into two categories: data handling (or "data farming"), including issues such as archives, intelligent storage, databases, interoperability, fast networks, etc., and data mining, data understanding, and knowledge discovery, which include issues such as automated clustering and classification, multivariate correlation searches, pattern recognition, visualization in highly hyperdimensional parameter spaces, etc., as well as various applications of machine learning in these contexts. Such techniques are forming a methodological foundation for science with massive and complex data sets in general, and are likely to have a much broather impact on the modern society, commerce, information economy, security, etc. There is a powerful emerging synergy between the computationally enabled science and the science-driven computing, which will drive the progress in science, scholarship, and many other venues in the 21st century.

  3. High Impact Technology Catalyst: Technology Deployment Strategies...

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

    High Impact Technology Catalyst: Technology Deployment Strategies High Impact Technology Catalyst: Technology Deployment Strategies The Energy Department released the High Impact...

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

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

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

  5. Technology '90

    SciTech Connect (OSTI)

    Not Available

    1991-01-01

    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.

  6. Technology Investment Agreements | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterFinancialInvestingRenewableTeach and Learn Teach and LearnTechnology

  7. Center for Transportation Studies Transportation Seminar Series Energy Technology and Climate

    E-Print Network [OSTI]

    Bertini, Robert L.

    Center for Transportation Studies Transportation Seminar Series Energy Technology and Climate Institute of Technology Friday, November 14, 2008 at 12:00 pm. Room 204, Distance Learning Center Wing

  8. 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.

    2013-05-06

    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 ...

  9. 1. Technical background David Keil Information Technology and Society 5/13 David Keil Information Technology and Society 5/13 1

    E-Print Network [OSTI]

    Keil, David M.

    1. Technical background David Keil Information Technology and Society 5/13 David Keil Information Technology and Society 5/13 1 David M. Keil, Framingham State University CSCI 135 Information Technology learned about information technology? · What kinds of IT have you used? · How has IT changed in your

  10. State Technologies Advancement Collaborative

    SciTech Connect (OSTI)

    David S. Terry

    2012-01-30

    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.

  11. Technology Assessment

    Office of Environmental Management (EM)

    capabilities that are energy efficient, low environmental impact 72 and lower cost and that are employed to manufacture technologies and products for clean energy 73...

  12. Learning Noise Michael Schmidt

    E-Print Network [OSTI]

    Fernandez, Thomas

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

  13. DOE Lessons Learned

    Broader source: Energy.gov [DOE]

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

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

    E-Print Network [OSTI]

    Jeongho Bang; Seung-Woo Lee; Hyunseok Jeong

    2015-08-05

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

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

    E-Print Network [OSTI]

    Jeongho Bang; Seung-Woo Lee; Hyunseok Jeong

    2015-04-20

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

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

    ScienceCinema (OSTI)

    Idaho National Laboratory

    2010-01-08

    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,

  17. Technology Transfer through the Pipeline and Other Channels: Preprint

    SciTech Connect (OSTI)

    Benner, J.; Hulstrom, R.; Sheldon, P.

    2001-10-01

    Presented at the 2001 NCPV Program Review Meeting: Examines some success stories of tech transfer and lessons learned from these experiences that point to possible improvements to expedite transfer to future technologies.

  18. 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

  19. Technology Commercialization Showcase 2008 Vehicle Technologies Program

    SciTech Connect (OSTI)

    Davis, Patrick B.

    2009-06-19

    Presentation illustrating various technology commercialization opportunities and unexploited investment gaps for the Vehicle Technologies Program.

  20. Quantum Learning Machine

    E-Print Network [OSTI]

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

    2008-03-31

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

  1. Thermally activated technologies: Technology Roadmap

    SciTech Connect (OSTI)

    None, None

    2003-05-01

    The purpose of this Technology Roadmap is to outline a set of actions for government and industry to develop thermally activated technologies for converting America’s wasted heat resources into a reservoir of pollution-free energy for electric power, heating, cooling, refrigeration, and humidity control. Fuel flexibility is important. The actions also cover thermally activated technologies that use fossil fuels, biomass, and ultimately hydrogen, along with waste heat.

  2. sustainable technologies

    E-Print Network [OSTI]

    Zhang, Junshan

    : · realize continuous improvements in performance (efficiency), cost and manufacturability of PV technologies, transformative PV technologies that circumvent cost/performance trade-offs and maintain compatibility with P the growing demand for energy. Photovoltaics (PV) leverages one of the 20th century's greatest scientific

  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. META MINING SYSTEM FOR SUPERVISED LEARNING LUKASZ KURGAN

    E-Print Network [OSTI]

    Kurgan, Lukasz

    and Technology, Krakow, Poland, 1998 M.S., AGH University of Science and Technology, Krakow, Poland, 1999 Mining Architecture for Supervised Learning written by Lukasz Kurgan has been approved for the Department results from its linear complexity, and high #12;iv compactness of user-friendly data models

  5. Learn More about Fusion & Lasers

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

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

  6. Information Technologies Activity Report M A Y AU G U S T 20 1 3

    E-Print Network [OSTI]

    Firestone, Jeremy

    1 Information Technologies Activity Report M A Y ­ AU G U S T 20 1 3 Voice over Internet Protocol Technology Services (IT-ATS) to incorporate information learned from the technology "testing" room in 218 Gore Hall and combined that information with the latest A/V technology to outfit the classrooms

  7. INTERSTATE WASTE TECHNOLOGIES THERMOSELECT TECHNOLOGY

    E-Print Network [OSTI]

    Columbia University

    1 INTERSTATE WASTE TECHNOLOGIES THERMOSELECT TECHNOLOGY AN OVERVIEW Presented to the DELAWARE SOLID WASTE MANAGEMENT TECHNICAL WORKING GROUP January 10, 2006 #12;2 INTERSTATE WASTE MANAGEMENT ALLIANCE and maintenance (30 years) ­ Will guarantee performance and Operation and Maintenance ­ Serves solid waste

  8. The ethical and social implications of personalization technologies for Helen Ashman a,

    E-Print Network [OSTI]

    Sheng, Michael

    The ethical and social implications of personalization technologies for e-learning Helen Ashman a and communications technology, however, has brought education online, implemented in e-learning systems. An e T Personalization in information systems can be considered beneficial but also ethically and socially harmful. Like

  9. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL parameters could possibly have application to other problems in vision. We investigate one such application and Cognitive Sciences and at the Artificial Intelligence Laboratory at the Massachusetts Institute

  10. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL parameters could possibly have application to other problems in vision. We investigate one such application of Brain and Cognitive Sciences and at the Artificial Intelligence Laboratory at the Massachusetts

  11. Technology Validation

    Broader source: Energy.gov [DOE]

    To reduce solar technology risks, DOE and its partners evaluate the performance and reliability of novel photovoltaic (PV) hardware and systems through laboratory and field testing. The focus of...

  12. Technology Roadmap Analysis 2013: Assessing Automotive Technology...

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

    Technology Roadmap Analysis 2013: Assessing Automotive Technology R&D Relevant to DOE Power Electronics Cost Targets Technology Roadmap Analysis 2013: Assessing Automotive...

  13. 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

  14. Building Technologies Office Overview

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

    Roland Risser Director, Building Technologies Office Building Technologies Office Energy Efficiency Starts Here. 2 Building Technologies Office Integrated Approach: Improving...

  15. The Learning Environment 

    E-Print Network [OSTI]

    Howard, Jeff W.

    2005-05-10

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

  16. Idaho Science, Technology, Engineering and Mathematics Overview

    ScienceCinema (OSTI)

    None

    2013-05-28

    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.

  17. 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

  18. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL by a grant from the NSF (ASC--9217041). Support for the laboratory's artificial intelligence research. of Brain and Cognitive Sciences, the Center for Biological and Computational Learning, and the Artificial

  19. Learning and risk aversion 

    E-Print Network [OSTI]

    Oyarzun, Carlos

    2009-06-02

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

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

    E-Print Network [OSTI]

    Guthrie, Victor Anthony

    2011-01-01

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

  1. Understanding Educational Technology through Special Education and Autism

    E-Print Network [OSTI]

    Hayes, Gillian R.

    Understanding Educational Technology through Special Education and Autism Gillian R. Hayes, Irvine Irvine CA USA gillianrh@ics.uci.edu ABSTRACT This paper presents complementary views of education to the more traditional cognitive learning view of education represented in educational technology and Human

  2. INNOVATION AGENDA: TEACHING Teaching with Technology Fellows 2013-2015

    E-Print Network [OSTI]

    Reh, Thomas A.

    INNOVATION AGENDA: TEACHING Teaching with Technology Fellows 2013-2015 February 2015 A Successful-IT's Learning Technologies, faculty fellows employed innovative, evidence-based approaches to course redesign and shared out with colleagues beyond the TTF. The TTF program is part of the UW's Innovation Agenda and has

  3. Engineering &Technology

    E-Print Network [OSTI]

    Southampton, University of

    Software Technologies Deloitte Dialog Semiconductor ECM Selection EDT-Year in Industry EMC Corporation to join our organisation and be based in our Ferndown, Dorset, location within our product electronics have application, design and manufacturing facilities in Canada, America, Europe and China. We

  4. Manufacturing technologies

    SciTech Connect (OSTI)

    1995-09-01

    The Manufacturing Technologies Center is an integral part of Sandia National Laboratories, a multiprogram engineering and science laboratory, operated for the Department of Energy (DOE) with major facilities at Albuquerque, New Mexico, and Livermore, California. Our Center is at the core of Sandia`s Advanced Manufacturing effort which spans the entire product realization process.

  5. Pyroprocessing Technologies

    E-Print Network [OSTI]

    Kemner, Ken

    of pyrochemical processes for the recycle of oxide, carbide and other advanced fuels and laid the foundationPyroprocessing Technologies RECYCLING USED NUCLEAR FUEL FOR A SUSTAINABLE ENERGY FUTURE #12;32 Storing Used Nuclear Fuel is a Real Waste Nuclear power is the most environmentally friendly way

  6. Building Technologies Office Overview

    SciTech Connect (OSTI)

    2013-04-01

    Building Technologies Office Overview Presentation for the 2013 Building Technologies Office's Program Peer Review

  7. Confidence belts on bounded parameters

    E-Print Network [OSTI]

    J. Bouchez

    2000-01-13

    We show that the unified method recently proposed by Feldman and Cousins to put confidence intervals on bounded parameters cannot avoid the possibility of getting null results. A modified bayesian approach is also proposed (although not advocated) which ensures no null results and proper coverage.

  8. Observational constraints and cosmological parameters

    E-Print Network [OSTI]

    Antony Lewis

    2006-04-02

    I discuss the extraction of cosmological parameter constraints from the recent WMAP 3-year data, both on its own and in combination with other data. The large degeneracies in the first year data can be largely broken with the third year data, giving much better parameter constraints from WMAP alone. The polarization constraint on the optical depth is crucial to obtain the main results, including n_s < 1 in basic six-parameter models. Almost identical constraints can also be obtained using only temperature data with a prior on the optical depth. I discuss the modelling of secondaries when extracting parameter constraints, and show that the effect of CMB lensing is about as important as SZ and slightly increases the inferred value of the spectral index. Constraints on correlated matter isocurvature modes are not radically better than before, and the data is consistent with a purely adiabatic spectrum. Combining WMAP 3-year data with data from the Lyman-alpha forest suggests somewhat higher values for sigma_8 than from WMAP alone.

  9. Vacuum Technology

    SciTech Connect (OSTI)

    Biltoft, P J

    2004-10-15

    The environmental condition called vacuum is created any time the pressure of a gas is reduced compared to atmospheric pressure. On earth we typically create a vacuum by connecting a pump capable of moving gas to a relatively leak free vessel. Through operation of the gas pump the number of gas molecules per unit volume is decreased within the vessel. As soon as one creates a vacuum natural forces (in this case entropy) work to restore equilibrium pressure; the practical effect of this is that gas molecules attempt to enter the evacuated space by any means possible. It is useful to think of vacuum in terms of a gas at a pressure below atmospheric pressure. In even the best vacuum vessels ever created there are approximately 3,500,000 molecules of gas per cubic meter of volume remaining inside the vessel. The lowest pressure environment known is in interstellar space where there are approximately four molecules of gas per cubic meter. Researchers are currently developing vacuum technology components (pumps, gauges, valves, etc.) using micro electro mechanical systems (MEMS) technology. Miniature vacuum components and systems will open the possibility for significant savings in energy cost and will open the doors to advances in electronics, manufacturing and semiconductor fabrication. In conclusion, an understanding of the basic principles of vacuum technology as presented in this summary is essential for the successful execution of all projects that involve vacuum technology. Using the principles described above, a practitioner of vacuum technology can design a vacuum system that will achieve the project requirements.

  10. Science &Technology Facilities Council

    E-Print Network [OSTI]

    Science &Technology Facilities Council Science &Technology Facilities Council Science and Technology Facilities Council Annual Report and Accounts 2011-2012 Science and Technology Facilities Council Laboratory, Cheshire; UK Astronomy Technology Centre, Edinburgh; Chilbolton Observatory, Hampshire; Isaac

  11. 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

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

    SciTech Connect (OSTI)

    Greitzer, Frank L.

    2002-09-30

    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.

  13. Learn About NercEnergy - Nercenergy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you notHeat PumpsTechnologies | BlandineTechnologiesLearn About

  14. Strategy for quantum algorithm design assisted by machine learning

    E-Print Network [OSTI]

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

    2014-07-17

    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.

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

    E-Print Network [OSTI]

    Bullinaria, John

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

  16. Imitation guided Learning in Learning Classifier Systems

    E-Print Network [OSTI]

    Métivier, Marc

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

  17. Portal Technology

    E-Print Network [OSTI]

    Warner, Beth Forrest

    2002-03-27

    Portal Technology Beth Forrest Warner Director, KU Digital Library Initiatives bwarner@ku.edu PUAD 839 March 27, 2002 Defining the issue… Today’s government agencies at all levels should note that the citizens they serve are “little concerned... their citizens’ perspectives. Instead of launching online services on a department-by-department basis, they are aggregating services across departments, accessible through a common portal.” (Janet Caldow, “The Quest for Electronic Government: A Defining...

  18. Emerging technologies

    SciTech Connect (OSTI)

    Lu, Shin-yee

    1993-03-01

    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.

  19. Technology disrupted

    SciTech Connect (OSTI)

    Papatheodorou, Y.

    2007-02-15

    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. 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.

  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. Optimizing parameters for predicting the geochemical behavior...

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

    parameters for predicting the geochemical behavior and performance of discrete fracture networks in geothermal systems Optimizing parameters for predicting the geochemical...

  3. BULGARIAN ACADEMY OF SCIENCES CYBERNETICS AND INFORMATION TECHNOLOGIES Volume 8, No 3

    E-Print Network [OSTI]

    Borissova, Daniela

    60 BULGARIAN ACADEMY OF SCIENCES CYBERNETICS AND INFORMATION TECHNOLOGIES · Volume 8, No 3 Sofia · 2008 An Approach to Technology Enhanced Learning by Application of Semantic Web Services1 Gennady Agre, Danail Dochev Institute of Information Technologies, 1113 Sofia E-mails: agre@iinf.bas.bg dochev

  4. BULGARIAN ACADEMY OF SCIENCES CYBERNETICS AND INFORMATION TECHNOLOGIES Volume 12, No 4

    E-Print Network [OSTI]

    Borissova, Daniela

    5 BULGARIAN ACADEMY OF SCIENCES CYBERNETICS AND INFORMATION TECHNOLOGIES · Volume 12, No 4 Sofia · 2012 SINUS ­ A Semantic Technology Enhanced Environment for Learning in Humanities Gennady Agre Institute of Information and Communication Technologies, 1113 Sofia Email: agre@iinf.bas.bg Abstract

  5. BULGARIAN ACADEMY OF SCIENCES CYBERNETICS AND INFORMATION TECHNOLOGIES Volume 6, No 2

    E-Print Network [OSTI]

    Borissova, Daniela

    5 4 BULGARIAN ACADEMY OF SCIENCES CYBERNETICS AND INFORMATION TECHNOLOGIES Volume 6, No 2 Sofia, Danail Dochev Institute of Information Technologies, 1113 Sofia Abstract: The paper discusses specific. With the increasing use of wireless technologies, new ways to enrich the learning environment and student experiences

  6. 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

  7. University of South Florida Resources for Education -Academy for Teaching and Learning Excellence

    E-Print Network [OSTI]

    Arslan, Hüseyin

    University of South Florida Resources for Education - Academy for Teaching and Learning Excellence Resources for Broader Impact - Veterans Reintegration & Resilience - Neuroscience Collaborative - Coalition for Science Literacy - Mote Marine Laboratory - Florida Advanced Technological Education Center (FLATE

  8. 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

  9. Technology and the Box

    E-Print Network [OSTI]

    Maitland, Padma

    2013-01-01

    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

  10. Information Technology and Libraries

    E-Print Network [OSTI]

    Hubble, Ann; Murphy, Deborah A.; Perry, Susan Chesley

    2011-01-01

    Sue Chesley Perry 196 INFORMATION TECHNOLOGY AND LIBRARIES |LITA - Library & Information Technology Association). ”Two of the 190 INFORMATION TECHNOLOGY AND LIBRARIES |

  11. Nuclear Science & Technology

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

    Nuclear Science & Technology Nuclear Science & Technology1354608000000Nuclear Science & TechnologySome of these resources are LANL-only and will require Remote Access. No...

  12. Discretization and Approximation Methods for Reinforcement Learning of Highly Reconfigurable Systems 

    E-Print Network [OSTI]

    Lampton, Amanda K.

    2010-07-14

    the development of three modular enhancements to the Q-learning algorithm that solve some of the unique problems that arise when working with this class of systems, such as the complex interaction of reconfigurable parameters and computationally intensive models...

  13. Available Technologies

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O O DBiomass andAtomsVehicles and Fuels VehiclesTechnologies

  14. The cosmological parameters from supernovae

    E-Print Network [OSTI]

    P. Ruiz-Lapuente

    1997-10-02

    Supernovae are bright luminous stellar objects observable up to redshifts close to z~1. They are used to probe the geometry of the Universe and its expansion rate by applying different methods. In this article, I review various approaches used to measure the present expansion rate of the Universe, $H_{0}$, and the paths to determine its matter density $\\Omega_{M}$ and the possible contribution of a non-zero cosmological constant $\\Lambda$. An account is given of the numerical estimates of those cosmological parameters according to the present status of the research.

  15. Acceptance of Internet-based Learning Medium: The Role of Extrinsic and Intrinsic Motivation

    E-Print Network [OSTI]

    Po, Lai-Man

    Acceptance of Internet-based Learning Medium: The Role of Extrinsic and Intrinsic Motivation acceptance of Internet-based learning medium (ILM) Research Model: This model integrates the motivational perspective into the original Technology Acceptance Model (TAM), and includes an intrinsic motivator

  16. Machine Learning: Foundations and Algorithms

    E-Print Network [OSTI]

    Ben-David, Shai

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

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

    Office of Environmental Management (EM)

    technologies can be designed to utilize the available thermal energy from a combined heat and power (CHP) system. This technology characterization is intended to provide...

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

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

    automotive technologies under development. Research is focused on developing power electronics (PE), electric motor, and traction drive system (TDS) technologies that will reduce...

  19. NATIONAL ENERGY TECHNOLOGY LABORATORY Technology Transfer Basic...

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

    in Technology Transfer" award from the Federal Laboratory Consortium. Application of this technology reduces the costs and energy associated with more conventional scrubbing...

  20. Quantum learning of coherent states

    E-Print Network [OSTI]

    Gael Sentís; Madalin Guta; Gerardo Adesso

    2014-10-31

    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.

  1. THIRD AND FOURTH STOKES PARAMETERS IN POLARIMETRIC

    E-Print Network [OSTI]

    Tsang, Leung

    THIRD AND FOURTH STOKES PARAMETERS IN POLARIMETRIC PASSIVE MICROWAVE REMOTE SENSING OF ROUGH and fourth Stokes parameters. In particular, the fourth Stokes parameter can be large for such geometrical configurations. Results show that the nonzero third and fourth Stokes parameters exist for all frequencies

  2. ERASMUS EXCHANGE LEARNING AGREEMENT

    E-Print Network [OSTI]

    Pfeifer, Holger

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

  3. Research on Teaching & Learning

    E-Print Network [OSTI]

    Thompson, Michael

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

  4. Learning in Parallel

    E-Print Network [OSTI]

    Vitter, Jeffrey Scott; Lin, Jyh-Han

    1992-01-01

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

  5. NREL: Technology Deployment - Technology Acceleration

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines lightGeospatial ToolkitSMARTS -Being Replicated AcrossSolarTechnology

  6. Estimating Field-Scale Hydraulic Parameters of Heterogeneous Soils Using A Combination of Parameter Scaling and Inverse Methods

    SciTech Connect (OSTI)

    Zhang, Z. F.; Ward, Andy L.; Gee, Glendon W.

    2002-12-10

    As the Hanford Site transitions into remediation of contaminated soil waste sites and tank farm closure, more information is needed about the transport of contaminants as they move through the vadose zone to the underlying water table. The hydraulic properties must be characterized for accurate simulation of flow and transport. This characterization includes the determination of soil texture types, their three-dimensional distribution, and the parameterization of each soil texture. This document describes a method to estimate the soil hydraulic parameter using the parameter scaling concept (Zhang et al. 2002) and inverse techniques. To this end, the Groundwater Protection Program Science and Technology Project funded vadose zone transport field studies, including analysis of the results to estimate field-scale hydraulic parameters for modeling. Parameter scaling is a new method to scale hydraulic parameters. The method relates the hydraulic-parameter values measured at different spatial scales for different soil textures. Parameter scaling factors relevant to a reference texture are determined using these local-scale parameter values, e.g., those measured in the lab using small soil cores. After parameter scaling is applied, the total number of unknown variables in hydraulic parameters is reduced by a factor equal to the number of soil textures. The field-scale values of the unknown variables can then be estimated using inverse techniques and a well-designed field experiment. Finally, parameters for individual textures are obtained through inverse scaling of the reference values using an a priori relationship between reference parameter values and the specific values for each texture. Inverse methods have the benefits of 1) calculating parameter values that produce the best-fit between observed and simulated values, 2) quantifying the confidence limits in parameter estimates and the predictions, 3) providing diagnostic statistics that quantify the quality of calibration and data shortcomings and needs, and 4) not restricting the initial and boundary-flow conditions, the constitutive relationships, or the treatment of heterogeneity. On this project, inverse modeling was performed using the combination of two computer models, one for forward flow modeling and the other for nonlinear regression. The forward model used to simulate water flow was the Subsurface Transport Over Multiple Phases (STOMP) numerical simulator (White and Oostrom 2000). STOMP was designed to solve a variety of nonlinear, multiple-phase, flow and transport problems for unsaturated porous media. The Universal CODE (UCODE) model (Poeter and Hill 1998) was used to perform inverse modeling posed as a parameter-estimation problem using nonlinear regression. Inverse techniques were applied to two cases of one-dimensional flow in layered soils and one case of three-dimensional flow in a heterogeneous soil. The results show that the simulation errors were significantly reduced after applying parameter scaling and inverse modeling. When compared to the use of local-scale parameters, parameter scaling reduced the sum of squared weighted residue by 93 to 96% for the relatively smaller scale (~2 m [~6.6 ft]) one-dimensional flow and 59% for the more complex Sisson and Lu site, which has the spatial scale of about 18 m (60 ft). This parameter estimation method will be applied to analyze the first two years of field experiments completed at the Sisson and Lu site.

  7. 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.

  8. Technologies de base Architectures

    E-Print Network [OSTI]

    Grigoras, .Romulus

    Technologies de base Architectures Cinquième partie Technologies Web Intergiciels et applications communicantes 1 / 38 #12;Technologies de base Architectures Client-serveur HTTP Présentation Plan 1 Technologies Contenu dynamique 2-tier 3-tier V ­ Technologies Web 2 / 38 #12;Technologies de base Architectures Client

  9. TECHNOLOGY LICENSE APPLICATION Office of Technology Transfer

    E-Print Network [OSTI]

    Page 1 TECHNOLOGY LICENSE APPLICATION Office of Technology Transfer UT-Battelle, LLC (UT. One of the functions of UT-BATTELLE's Office of Technology Transfer is to negotiate license agreements for such intellectual property with companies for commercial applications of ORNL-developed technologies. Such licenses

  10. APPROPRIATE HOME TECHNOLOGY: Depending on Dependable Technology

    E-Print Network [OSTI]

    Sommerville, Ian

    penetrate more and more into people's everyday lives and homes, the `design problem' is not so muchAPPROPRIATE HOME TECHNOLOGY: Depending on Dependable Technology Systems Guy Dewsbury, Karen Clarke 2002 #12;Dewsbury et al (2002): Appropriate Home Technology APPROPRIATE HOME TECHNOLOGY: Depending

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

    SciTech Connect (OSTI)

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

    2014-03-01

    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.

  12. Real-World Hydrogen Technology Validation: Preprint

    SciTech Connect (OSTI)

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

    2012-03-01

    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.

  13. System and method for motor parameter estimation

    DOE Patents [OSTI]

    Luhrs, Bin; Yan, Ting

    2014-03-18

    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.

  14. Learning from Class-Imbalanced Data in Wireless Sensor Networks

    E-Print Network [OSTI]

    Radivojac, Predrag

    . INTRODUCTION Recent advances in MEMS systems technology have led to the development of small inexpensive sensorLearning from Class-Imbalanced Data in Wireless Sensor Networks Predrag Radivojac, Uttara Korad Abstract-- In this paper, we study wireless sensor networks used for detection of rare events (e

  15. Concept Learning Learning Concepts from Examples

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Efe, Mehmet Önder

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

  17. 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 ...

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

    E-Print Network [OSTI]

    Ting, Carina Maria

    2012-01-01

    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 ...

  19. Technology Evaluation and Decision Making for Sustainability Enhancement of Industrial Systems Under Uncertainty

    E-Print Network [OSTI]

    Huang, Yinlun

    Technology Evaluation and Decision Making for Sustainability Enhancement of Industrial Systems. A case study on sustainable development of biodiesel manufacturing demonstrates methodological efficacy: sustainability enhancement, decision making, uncertainty, interval-parameter-based analysis, technology

  20. 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

  1. Time series association learning

    DOE Patents [OSTI]

    Papcun, George J. (Santa Fe, NM)

    1995-01-01

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

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

    E-Print Network [OSTI]

    Seokwon Yoo; Jeongho Bang; Changhyoup Lee; Jinhyoung Lee

    2014-10-14

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

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

    E-Print Network [OSTI]

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

    2010-01-01

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

  4. 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 ...

  5. Experiments in service learning

    E-Print Network [OSTI]

    Banzaert, Amy, 1976-

    2006-01-01

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

  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. Least square fitting with one parameter less

    E-Print Network [OSTI]

    Bernd A. Berg

    2015-05-28

    It is shown that whenever the multiplicative normalization of a fitting function is not known, least square fitting by $\\chi^2$ minimization can be performed with one parameter less than usual by converting the normalization parameter into a function of the remaining parameters and the data.

  8. Plasma technology directory

    SciTech Connect (OSTI)

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

    1995-03-01

    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.

  9. Learn more: ece.duke.edu Our department is on the cutting edge

    E-Print Network [OSTI]

    Business & management consulting Construction, manufacturing, energy/mining, utilities EngineeringLearn more: ece.duke.edu Our department is on the cutting edge of technology. Duke ECE conducts processing and live art: performance and technology · Redesigning wireless Internet with software radios

  10. Choice of environmental policy in the presence of learning by doing

    E-Print Network [OSTI]

    Available online 9 February 2006 Abstract Many clean energy technologies have experienced rapid cost penetration of clean energy technologies on a large scale today, despite their current high costs, in order classification: C60; D62 Keywords: Learning by doing; Renewable energy; Environmental policy; Spillover

  11. Machine Learning and Inference Laboratory An Optimized Design of Finned-Tube Evaporators

    E-Print Network [OSTI]

    Michalski, Ryszard S.

    Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899-8631 (2) Machine Learning and evaluates a novel optimization system, called ISHED1 (Intelligent System for Heat Exchanger Design9906858. The National Institute of Standards and Technology (NIST), the Air Conditioning and Refrigeration

  12. Unsupervised Learning of Object Descriptors and Compositions

    E-Print Network [OSTI]

    Ye, Xingyao

    2012-01-01

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

  13. Formative Assessment, Equity, and Opportunity to Learn

    E-Print Network [OSTI]

    Hilberg, Soleste

    2012-01-01

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

  14. Lessons Learned Database | Department of Energy

    Office of Environmental Management (EM)

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

  15. Neural predictors of auditory word learning

    E-Print Network [OSTI]

    2008-01-01

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

  16. A Lyapunov Based Stable Online Learning Algorithm For Nonlinear Dynamical Systems Using Extreme Learning Machines

    E-Print Network [OSTI]

    Nguyen, Long

    of Energy [National Energy Technology Laboratory] under Award Number(s) DE- EE0003533. a significant area cases, an online regression algorithm updates the parameters by minimizing a given cost function in such methods involved complex gradient calculation in real time or first estimating a linear model

  17. Technology and the Box

    E-Print Network [OSTI]

    Maitland, Padma

    2013-01-01

    study of architecture through references to “Technology andhis new “Architecture for Man” that combines technology withArchitecture and Minarc Architects, two contemporary designers that are pushing prefab technologies

  18. Adoption of New Technology

    E-Print Network [OSTI]

    Hall, Bronwyn H.; Khan, Beethika

    2003-01-01

    Firm Diffusion of New Technology: A Real Options Model. ”and the Adoption of New technology: Evidence from the U.S.affect whether or not new technologies are successful, the

  19. Technology & Engineering Division

    E-Print Network [OSTI]

    Technology & Engineering Division High-Temperature Superconducting Magnets for Fusion: New & Engineering Division Contents · Background on Superconductivity · Fusion Magnets ­ Present and Future ­ Vision/15/2014 2Joseph V. Minervini #12;Technology & Engineering Division Superconductivity #12;Technology

  20. Adoption of New Technology

    E-Print Network [OSTI]

    Hall, Bronwyn H.; Khan, Beethika

    2003-01-01

    Firm Diffusion of New Technology: A Real Options Model. ”and the Adoption of New technology: Evidence from the U.S.the Diffusion of New Technology in the Banking Industry. ”

  1. Technology in a Context: Enabling students to collaboratively participate at the interface of computation and social science

    E-Print Network [OSTI]

    Alterman, Richard

    Technology in a Context: Enabling students to collaboratively participate at the interface is difficult. This paper explores the use of technology to organize the collaboration within a class so as to produce Computer Science students who learn to develop technology within a critical framework. A case

  2. The Impact of the Katy Management of Automated Curriculum System on Planning for Learning, Delivery of Instruction and Evaluation of Student Learning as Perceived by Teachers in the Katy Independent School District in Texas 

    E-Print Network [OSTI]

    Hogue, Sharon L.

    2011-10-21

    of student learning in the classroom. KMAC is a customized, proprietary networked technology curriculum management system created for online access to curriculum and the creation and sharing of lesson plans. Data was collected from 635 teachers district...

  3. Derivative-free optimization of rate parameters of capsid assembly models from bulk in vitro data

    E-Print Network [OSTI]

    Xie, Lu; Schwartz, Russell

    2015-01-01

    The assembly of virus capsids from free coat proteins proceeds by a complicated cascade of association and dissociation steps, the great majority of which cannot be directly experimentally observed. This has made capsid assembly a rich field for computational models to attempt to fill the gaps in what is experimentally observable. Nonetheless, accurate simulation predictions depend on accurate models and there are substantial obstacles to model inference for such systems. Here, we describe progress in learning parameters for capsid assembly systems, particularly kinetic rate constants of coat-coat interactions, by computationally fitting simulations to experimental data. We previously developed an approach to learn rate parameters of coat-coat interactions by minimizing the deviation between real and simulated light scattering data monitoring bulk capsid assembly in vitro. This is a difficult data-fitting problem, however, because of the high computational cost of simulating assembly trajectories, the stochas...

  4. Vehicle Technologies Office Merit Review 2015: Lessons Learned...

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

    EV Project. vss170smart2015p.pdf More Documents & Publications Workplace Charging Challenge Summit 2014: Session 1, Track B ChargePoint America Workplace Charging Presentation...

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

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

    I'll be talking to you about one of the latest subjects taught in the program's A course, Electric Machines. In a recent post, Dave Shoudy talked to you about the course on Power...

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

    E-Print Network [OSTI]

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

    2011-01-01

    Comfort Zone, now part of ANSI/ASHRAE Standard 55 (2004),make them happen. REFERENCES ANSI/ASHRAE Standard 55-2004.Air- Conditioning Engineers. ANSI/ASHRAE Standard 55-2010.

  7. Energy Systems Technology - A Development in Experiential Learning 

    E-Print Network [OSTI]

    Tumber, A. J.

    1980-01-01

    ~79. Initially about half of the placements were in the institutional/commercial sector and one quarter were in the indust rial sector. The "energy-bus", which was developed at Mohawk in 1975 and then operated for four years under contract to the Ontario...

  8. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines lightGeospatial Toolkit The Geospatial ToolkitElectricity

  9. 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.

  10. Technology Readiness Assessment Report

    Office of Environmental Management (EM)

    of management decisions by identifying key technologies that have been demonstrated to work or by highlighting immature or unproven technologies that might result in increased...

  11. Promising Technologies List

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

    about promising new and underutilized energy-saving technologies available for Federal and commercial building sector deployment. To identify promising technologies,...

  12. Building Technologies Office Overview

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

    Roland Risser Director, Building Technologies Office Building Technologies Office Overview Our Homes and Buildings Use 40% of Our Nation's Energy and 75% of Electricity Energy Use...

  13. Hydropower Program Technology Overview

    SciTech Connect (OSTI)

    Not Available

    2001-10-01

    New fact sheets for the DOE Office of Power Technologies (OPT) that provide technology overviews, description of DOE programs, and market potential for each OPT program area.

  14. 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...

  15. Building Technologies Office Overview

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

    Technologies Office Roland Risser Director, Building Technologies Office National Energy Consumption 40% 60% Reducing consumption or improving performance calls for cutting-edge...

  16. Essays on University Technology Management

    E-Print Network [OSTI]

    Drivas, Kyriakos

    2011-01-01

    of university technology management and their implicationson University Technology Management by Kyriakos Drivas Aon University Technology Management by Kyriakos Drivas

  17. Maximum likelihood parameter estimation in time series models using sequential Monte Carlo

    E-Print Network [OSTI]

    Yildirim, Sinan

    2013-06-11

    , respectively. This approach is useful to handle the case where the columns of Y are generated sequentially in time, such as in audio signal processing. Usually very large number of columns in Y leads to the necessity of online algorithms to learn the model... .6 (dashed lines). For illustrative purposes, every 1000th estimate is shown . . . . . . . . . . . . . . . . . . . . . . . 130 6.1 Histograms of Monte Carlo estimates of gradients of log p?,?,?? (Y ?,?,?) w.r.t. the parameters of the ?-stable distribution...

  18. Morgantown Energy Technology Center, technology summary

    SciTech Connect (OSTI)

    Not Available

    1994-06-01

    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.

  19. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01

    land- based wind energy technology. 2009 Wind TechnologiesRenewable Energy 2009 WIND TECHNOLOGIES MARKET REPORT AUGUSTfor a variety of energy technologies, including wind energy.

  20. Technology Licensing | ornl.gov

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

    License ORNL Technologies Licensing Guidelines NDA(s) and MTA(s) Sample Agreements Technology Innovation Program Technology Assistance Program Licensing Staff Technology Search...

  1. Training & Technology Solutions Queens College ~ Office of Information Technology ~ Training & Technology Solutions

    E-Print Network [OSTI]

    Johnson Jr.,, Ray

    Training & Technology Solutions Queens College ~ Office of Information Technology ~ Training & Technology Solutions 718-997-4875 ~ training@qc.cuny.edu ~ I-Bldg 214 Faculty Center Verification & Technology Solutions Queens College ~ Office of Information Technology ~ Training & Technology Solutions 718

  2. High Efficiency Engine Technologies Program

    SciTech Connect (OSTI)

    Rich Kruiswyk

    2010-07-13

    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.

  3. MGMT 560: Management of Technology Professor Lyle Ungar

    E-Print Network [OSTI]

    Ungar, Lyle H.

    : incremental and disruptive. Product life cycles and dominant designs. The learning curve. Tech- noogy vision: Why good companies fail to make the leap. The whole product. 4. Hi Tech marketing Hi Tech marketing over the technology life cycle. 5. Managing Risk; Scenario planning Risk and exposure. R & D portfolio

  4. Institute for Software Technology Ad anced RoboticsAdvanced Robotics

    E-Print Network [OSTI]

    environment ­ no group work 3. practical assignment II (out 13.4, in 22.6) ­ automatically explore a building Advanced Robotics - Organization- 4- 50,0 5 #12;Institute for Software Technology Literature · R Int6. W. Mou and A. Kleiner. Online Learning Terrain Classification for Adaptive Velocity Control

  5. National Fuel Cell Electric Vehicle Learning Demonstration Final Report

    SciTech Connect (OSTI)

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

    2012-07-01

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

  6. 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

  7. 1 Design by Autonomous Learning Design by Autonomous Learning

    E-Print Network [OSTI]

    Prabhakar, Sattiraju

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

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

    E-Print Network [OSTI]

    O'Reilly, Randall C.

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

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

    SciTech Connect (OSTI)

    Johnson, Terry Alan; Kanouff, Michael P.

    2010-04-01

    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.

  10. Sensitivity analysis of Stirling engine design parameters

    SciTech Connect (OSTI)

    Naso, V.; Dong, W.; Lucentini, M.; Capata, R.

    1998-07-01

    In the preliminary Stirling engine design process, the values of some design parameters (temperature ratio, swept volume ratio, phase angle and dead volume ratio) have to be assumed; as a matter of fact it can be difficult to determine the best values of these parameters for a particular engine design. In this paper, a mathematical model is developed to analyze the sensitivity of engine's performance variations corresponding to variations of these parameters.

  11. QGESS: CO2 Impurity Design Parameters

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

    Health NOx Oxides of nitrogen SAS Saline aquifer sequestration SCR Selective catalytic reduction TWA Total Weighted Average National Energy Technology Laboratory Office of...

  12. Adsorption Thermodynamics and Intrinsic Activation Parameters...

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

    Adsorption Thermodynamics and Intrinsic Activation Parameters for Monomolecular Cracking of n-Alkanes on Bronsted Acid Sites in Zeolites Previous Next List Amber Janda, Bess...

  13. Learning Deep Generative Ruslan Salakhutdinov

    E-Print Network [OSTI]

    Toronto, University of

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

  14. Smart subtitles for vocabulary learning

    E-Print Network [OSTI]

    Kovacs, Geza

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

  15. TOKYO INSTITUTE OF TECHNOLOGY

    E-Print Network [OSTI]

    TOKYO INSTITUTE OF TECHNOLOGY 2005 TOKYO INSTITUTE OF TECHNOLOGY 152-8550 2 12 1 E3-3 2005 8 TEL. 03 5734 2975 URL. http://www.titech.ac.jp/ PROFILE #12;TOKYO INSTITUTE OF TECHNOLOGY 0201 CONTENTS 03 06 06 08 09 10 15 17 25 31 33 37 41 0201 #12;TOKYO INSTITUTE OF TECHNOLOGY TOKYO INSTITUTE

  16. Predictive Maintenance Technologies

    Broader source: Energy.gov [DOE]

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

  17. Hydrogen delivery technology roadmap

    SciTech Connect (OSTI)

    None, None

    2005-11-15

    Document describing plan for research into and development of hydrogen delivery technology for transportation applications.

  18. Northwest Regional Technology Center

    E-Print Network [OSTI]

    management and public safety professionals to define and prioritize technology needs. Coordinate and leadNorthwest 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

  19. SPACE TECHNOLOGY Actual Estimate

    E-Print Network [OSTI]

    technology readiness of new missions, mitigate their technological risks, improve the quality of cost estimates, and thereby contribute to better overall mission cost management..." Space Technology investmentsSPACE TECHNOLOGY TECH-1 Actual Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY

  20. Abstract Recent advances in wireless networking technology and the exponential development of

    E-Print Network [OSTI]

    Havinga, Paul J.M.

    of semiconductor technology have engendered a new paradigm of computing, called personal mobile computing, and accesses what was learned from the project. 1. PERSONAL MOBILE COMPUTING In recent years, technology. Two trends ­ multimedia applications and mobile computing ­ will lead to a new application domain

  1. 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

  2. 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

  3. 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

  4. Using Multi-user Distributed Virtual Environments in Education Computer Technology Institute

    E-Print Network [OSTI]

    Using Multi-user Distributed Virtual Environments in Education Ch. Bouras Computer Technology and distributed virtual environments. The communicative character of the distributed virtual environments would and tutorials. Such technologies may mitigate some of the problems of isolation that distance learning brings

  5. Reward: How to Foster a Technology-Innovation Culture within a Large Organization: What You

    E-Print Network [OSTI]

    Jacob, Bruce

    , Design as an End Product 974 Capital Freed to Take Multiple Shots 974 Conclusion: Innovation and the Lion964 Reward: How to Foster a Technology-Innovation Culture within a Large Organization: What You Can Learn from Start-up Companies Reward: How to Foster a Technology-Innovation Culture within a Large

  6. Assessing Early Investments in Low Carbon Technologies under Uncertainty: The Case of Carbon Capture and Storage

    E-Print Network [OSTI]

    technologies into the electricity market that emit fewer greenhouse gas (GHG) emissions. We face many of these technologies decrease due to learning-by-doing as their capacity is built out. Given that we face uncertainties stringency of the US GHG emissions policy, the size of the US gas resource, and the cost of electricity from

  7. 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

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

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

    Advanced Vehicle Technology Analysis and Evaluation Activities and Heavy Vehicle Systems Optimization Program Annual Progress Report Well-to-Wheels Analysis of Energy Use and...

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

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

    Advanced Vehicle Technology Analysis and Evaluation Activities and Heavy Vehicle Systems Optimization Program Annual Progress Report 2009avtaehvso.pdf More Documents &...

  10. Online Support Vector Regression with Varying Parameters for Time-Dependent Data

    SciTech Connect (OSTI)

    Omitaomu, Olufemi A [ORNL; Jeong, Myong K [ORNL; Badiru, Adedeji B [ORNL

    2011-01-01

    Support vector regression (SVR) is a machine learning technique that continues to receive interest in several domains including manufacturing, engineering, and medicine. In order to extend its application to problems in which datasets arrive constantly and in which batch processing of the datasets is infeasible or expensive, an accurate online support vector regression (AOSVR) technique was proposed. The AOSVR technique efficiently updates a trained SVR function whenever a sample is added to or removed from the training set without retraining the entire training data. However, the AOSVR technique assumes that the new samples and the training samples are of the same characteristics; hence, the same value of SVR parameters is used for training and prediction. This assumption is not applicable to data samples that are inherently noisy and non-stationary such as sensor data. As a result, we propose Accurate On-line Support Vector Regression with Varying Parameters (AOSVR-VP) that uses varying SVR parameters rather than fixed SVR parameters, and hence accounts for the variability that may exist in the samples. To accomplish this objective, we also propose a generalized weight function to automatically update the weights of SVR parameters in on-line monitoring applications. The proposed function allows for lower and upper bounds for SVR parameters. We tested our proposed approach and compared results with the conventional AOSVR approach using two benchmark time series data and sensor data from nuclear power plant. The results show that using varying SVR parameters is more applicable to time dependent data.

  11. DER Program Weibull Strength Parameter Requirements for

    E-Print Network [OSTI]

    Pennycook, Steve

    an acceptable component failure rate. Utilize NASA/CARES to back-calculate Weibull parameter pairs that when Wereszczak Oak Ridge National Laboratory Curt Johnson General Electric Corporate Research & Development the quality of the parameter estimates. This effect is depicted relative to the material performance curves

  12. PARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING

    E-Print Network [OSTI]

    Ewing, Richard E.

    PARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING R.E. Ewing, M.S. Pilant, J.G. Wade on grand challenge problems. In today's petroleum industry, reservoir simulators are routinely used parameters in petroleum and groundwater models. It is not intended to be exhaustive, but rather to give

  13. Innovation in Nuclear Technology for the Least Product Price and Cost

    SciTech Connect (OSTI)

    Duffey, Romney

    2003-09-01

    In energy markets, costs dominate for all new technology introductions (pressure valves, gas turbines, reactors) both now and far into the future. Technology improves, and costs are reduced as markets are penetrated with the trend following a learning/experience curve (MCE) based on classic economic forces. The curve followed is governed by development costs and market targets, and nuclear systems follow such a curve in order to compete with other technologies and projected future cost for alternate energy initiatives. Funding impacts directly on market penetration and on the ''learning rate.'' The CANDU/AECL development path (experience curve) is a chosen balance between evolution and revolution for a competitive advantage.

  14. Software Carpentry: Lessons Learned

    E-Print Network [OSTI]

    Greg Wilson

    2014-01-29

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

  15. 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 ...

  16. Aalborg Universitet Time-Varying FOPDT Modeling and On-line Parameter Identification

    E-Print Network [OSTI]

    Yang, Zhenyu

    Zhen Sun Department of Energy Technology, Aalborg University, Esbjerg Campus, Niels Bohrs Vej 8, DK; Sun, Zhen Published in: 3th IFAC Symposium on Large Scale Complex Systems: Theory and Applications for published version (APA): Yang, Z., & Sun, Z. (2013). Time-Varying FOPDT Modeling and On-line Parameter

  17. SENSITIVITY OF SINGLE DIODE MODELS FOR PHOTOVOLTAIC MODULES TO METHOD USED FOR PARAMETER ESTIMATION

    E-Print Network [OSTI]

    PV modules representative of a variety of technologies. Keywords: Modeling, Parameter estimation to represent the electrical performance of a photovoltaic (PV) module. A single diode model is formulated) but no standard method has been adopted by the broad community. Without a standard method for estimating model

  18. Assessing Software Engineering Technology Transfer

    E-Print Network [OSTI]

    Zelkowitz, Marvin V.

    , and technology infusion, or the adoption of a new technology by an individual organization. 1 #12;Table ¢ ¡ £ ¡ ¢ ¡ ¡ ¢ ¡ ¡ ¡ ¢ ¡ £ ¤ £ ¡ ¡ ¢ ¡ ¡ ¢ ¡ ¡ £ ¤ £ ¡ ¢ ¡ ¡ ¡ ¢ ¡ ¡ ¢ ¡ £ ¡ ¢ 15 3.4 Exporting and Infusing Technology ¡ ¡ ¡ ¢ ¡ £ ¤ £ ¡ ¡ ¢ ¡ ¡ ¢ ¡ ¡ £ ¤ £ ¡ ¢ ¡ ¡ ¡ ¢ ¡ ¡ ¢ ¡ £ ¡ ¢ 16 4 Infusion of Technology 18 4.1 Technologies of Interest

  19. SHARED TECHNOLOGY TRANSFER PROGRAM

    SciTech Connect (OSTI)

    GRIFFIN, JOHN M. HAUT, RICHARD C.

    2008-03-07

    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.

  20. Lessons learned bulletin. Number 2

    SciTech Connect (OSTI)

    Not Available

    1994-05-01

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

  1. MFV Reductions of MSSM Parameter Space

    E-Print Network [OSTI]

    S. S. AbdusSalam; C. P. Burgess; F. Quevedo

    2015-02-09

    The 100+ free parameters of the minimal supersymmetric standard model (MSSM) make it computationally difficult to compare systematically with data, motivating the study of specific parameter reductions such as the cMSSM and pMSSM. Here we instead study the reductions of parameter space implied by using minimal flavour violation (MFV) to organise the R-parity conserving MSSM, with a view towards systematically building in constraints on flavour-violating physics. Within this framework the space of parameters is reduced by expanding soft supersymmetry-breaking terms in powers of the Cabibbo angle, leading to a 24-, 30- or 42-parameter framework (which we call MSSM-24, MSSM-30, and MSSM-42 respectively), depending on the order kept in the expansion. We provide a Bayesian global fit to data of the MSSM-30 parameter set to show that this is manageable with current tools. We compare the MFV reductions to the 19-parameter pMSSM choice and show that the pMSSM is not contained as a subset. The MSSM-30 analysis favours a relatively lighter TeV-scale pseudoscalar Higgs boson and $\\tan \\beta \\sim 10$ with multi-TeV sparticles.

  2. Enhancing Curriculum Acceptance among Students with E-learning 2.0

    E-Print Network [OSTI]

    Lakhtaria, Kamaljit I; Gandhi, Ankita

    2010-01-01

    E-learning; enhanced by communicating and interacting is becoming increasingly accepted and this puts Web 2.0 at the center of the new educational technologies. E-Learning 2.0 emerges as an innovative method of online learning for its incorporation of Web 2.0 tools. For any academic study, the curriculum provides overview of intact learning area. The Curriculum provides overview to content of the Subject. Many institutions place student interaction as a priority of their online curriculum design. It is proved that interaction has a great effect on the students' involvement in learning and acceptance of Curriculum. Students are accepting curriculum that is designed by teacher; whereas E-learning 2.0 enabled Curriculum management system allows student to involve in learning activities. It works as a stimulus and increases their dedication to the Curriculum. While Institute adapts E-Learning 2.0 as Learning Management System, it also provides Social Networking services and provides direct and transparent interac...

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

    SciTech Connect (OSTI)

    Ian Mckirdy

    2011-09-01

    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.

  4. 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

  5. Materials Science and Technology Teachers Handbook

    SciTech Connect (OSTI)

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

    2008-09-04

    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.

  6. Precision Measurement of Neutrino Oscillation Parameters with KamLAND

    E-Print Network [OSTI]

    ODonnell, Thomas Michael

    2011-01-01

    resolution parameters. . . . . . Best-fit energy resolutionBest-fit energy scale parameters . . . . . . . . DescriptionTable 4.3: Best-fit energy resolution parameters (Equation

  7. Inverse Modeling of Hydrologic Parameters Using Surface Flux...

    Office of Scientific and Technical Information (OSTI)

    estimated include surface and subsurface runoff generation parameters and vadose zone soil water parameters. We find that using model parameters calibrated by the least-square...

  8. THE ROLE OF TECHNOLOGY IN INTERFUEL SUBSTITUTION: A COMBINED CROSS-SECTION AND

    E-Print Network [OSTI]

    Steininger, Karl W.

    activities. We use cross section data in each activity for appliance technologies (heating/cooling, steam by appliance technology in a panel estimation with fixed effects for activities and a uniform effect technologies by inserting parameters from the panel estimation. In this `disaggregated' model the impact

  9. 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

  10. Massachusetts Institute of Technology

    E-Print Network [OSTI]

    ChemE Massachusetts Institute of Technology Department of Chemical Engineering Undergraduate technology, chemical engineers play a role in almost every industry and they collaborate with all types, creating and improving pharmaceuticals, fuels, polymers, plastics, cosmetics, cereals and more." Klavs

  11. SIMULATING EVOLUTION OF TECHNOLOGY

    E-Print Network [OSTI]

    SIMULATING EVOLUTION OF TECHNOLOGY: AN AID TO ENERGY POLICY ANALYSIS A CASE STUDY OF STRATEGIES Approval Name: John Nyboer Degree: Doctor of Philosophy Title of Thesis: Simulating Evolution of Technology

  12. Technology Readiness Assessment Guide

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

    2011-09-15

    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. Supersedes DOE G 413.3-4.

  13. Technology Deployment Case Studies

    Broader source: Energy.gov [DOE]

    Find technology deployment case studies below. Click on each individual project link to see the full case study. You can also view a map of technology deployment case studies.

  14. Utilities Inspection Technologies 

    E-Print Network [OSTI]

    Messock, R. K.

    1993-01-01

    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...

  15. Technology Business Incubation Programme

    E-Print Network [OSTI]

    1 Technology Business Incubation Programme Ms. Kimmie Wong Assistant Manager Incubation Admission and organization. Industry Technology Biotechnology Clusters IT & Telecomm. Pharmaceutical Precision Engg. Chinese Lab Premises Technical Support Facilities Technical and Management Assistance Management and Technical

  16. Tag: technology transfer

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

    17all en CNS, UT chemical sensing technology wins R&D 100 Award http:www.y12.doe.govnewspress-releasescns-ut-chemical-sensing-technology-wins-rd-100-award

  17. Learning Outcomes in Electrical Technology Diploma in Electrical Technology (fyrst cycle, level 1)

    E-Print Network [OSTI]

    Karlsson, Brynjar

    and higher level technical staff. Upon completion of the programme, the following criteria shall be fulfilled: Disciplinaryskills Work with design software such as AutoCad. Make technical drawings according to standards lighting and electric installations systems, and select spare parts. Install digital equipment, work

  18. Learning Outcomes in Electrical Technology Diploma in Electrical Technology (fyrst cycle, level 1)

    E-Print Network [OSTI]

    Karlsson, Brynjar

    and higher level technical staff. Upon completion of the programme, the following criteria shall be fulfilled: Disciplinaryskills · Work with design software such as AutoCad. · Make technical drawings according to standards lighting and electric installations systems, and select spare parts. · Install digital equipment, work

  19. Quantifying the parameters of successful agricultural producers 

    E-Print Network [OSTI]

    Kaase, Gregory Herman

    2006-08-16

    The primary purpose of the study was to quantify the parameters of successful agricultural producers. Through the use of the Financial and Risk Management (FARM) Assistance database, this study evaluated economic measures ...

  20. Precision Electroweak Parameters and the Higgs Mass

    E-Print Network [OSTI]

    William J. Marciano

    2000-03-17

    The status of various precisely measured electroweak parameters is reviewed. Natural relations among them are shown to constrain the Higgs mass, m_H, via quantum loop effects to relatively low values. A comparison with direct Higgs searches is made.

  1. Lensed CMB simulation and parameter estimation

    E-Print Network [OSTI]

    Antony Lewis

    2010-11-16

    Modelling of the weak lensing of the CMB will be crucial to obtain correct cosmological parameter constraints from forthcoming precision CMB anisotropy observations. The lensing affects the power spectrum as well as inducing non-Gaussianities. We discuss the simulation of full sky CMB maps in the weak lensing approximation and describe a fast numerical code. The series expansion in the deflection angle cannot be used to simulate accurate CMB maps, so a pixel remapping must be used. For parameter estimation accounting for the change in the power spectrum but assuming Gaussianity is sufficient to obtain accurate results up to Planck sensitivity using current tools. A fuller analysis may be required to obtain accurate error estimates and for more sensitive observations. We demonstrate a simple full sky simulation and subsequent parameter estimation at Planck-like sensitivity. The lensed CMB simulation and parameter estimation codes are publicly available.

  2. Integral data analysis for resonance parameters determination

    SciTech Connect (OSTI)

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

    1997-09-01

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

  3. Compressing measurements in quantum dynamic parameter estimation

    E-Print Network [OSTI]

    Magesan, Easwar

    We present methods that can provide an exponential savings in the resources required to perform dynamic parameter estimation using quantum systems. The key idea is to merge classical compressive sensing techniques with ...

  4. Carbon Fiber Technology Facility

    Broader source: Energy.gov [DOE]

    2013 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

  5. Membrane Technology Workshop

    Broader source: Energy.gov [DOE]

    Presentation by Charles Page (Air Products & Chemicals, Inc.) for the Membrane Technology Workshop held July 24, 2012

  6. States & Emerging Energy Technologies

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  7. Technology in water conservation 

    E-Print Network [OSTI]

    Finch, Dr. Calvin

    2013-01-01

    ?? percent to ?? percent. Water reuse systems treat wastewater by various technologies including ?ltering, bioremediation and ozone exposure. ?ese technologies can involve billions of gallons of wastewater ? such as in a municipal recycling e... 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 behavioral exercise and urge...

  8. Advanced Propulsion Technology Strategy

    Broader source: Energy.gov [DOE]

    GM is also developing new classes of electrically driven vehicles, leveraging technology first used in their hybrids.

  9. Do New Technologies Matter?

    Office of Energy Efficiency and Renewable Energy (EERE)

    Check out a few stories of companies who have taken a breakthrough energy technology and run with it.

  10. Consumer Vehicle Technology Data

    Broader source: Energy.gov [DOE]

    2013 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

  11. Technology Readiness Assessment (TRA)/Technology Maturation Plan...

    Energy Savers [EERE]

    (TRA)Technology Maturation Plan (TMP) Process Guide Technology Readiness Assessment (TRA)Technology Maturation Plan (TMP) Process Guide This document is a guide for those...

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

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

    Vehicle Technologies Office: 2010 Fuel Technologies R&D Annual Progress Report The Fuels Technologies subprogram supports fuels and lubricants research and development (R&D)...

  13. EM Engineering & Technology Roadmap and Major Technology Demonstration...

    Office of Environmental Management (EM)

    Processing Office of Engineering and Technology April 2008 EM Engineering & Technology Roadmap and Major Technology Demonstrations Introduction Progress made in EM cleanup...

  14. Vehicle Technologies Office: 2012 Fuel and Lubricant Technologies...

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

    2 Fuel and Lubricant Technologies R&D Annual Progress Report Vehicle Technologies Office: 2012 Fuel and Lubricant Technologies R&D Annual Progress Report The Fuel & Lubricant...

  15. Does Doctrine Drive Technology or Does Technology Drive Doctrine?

    E-Print Network [OSTI]

    Blasko, Dennis

    2010-01-01

    Policy Brief No. 4 September 2010 Does Doctrine DriveTechnology or Does Technology Drive Doctrine? Dennis Blaskoone way. However, technology does not determine strat- egy.

  16. Does Doctrine Drive Technology or Does Technology Drive Doctrine?

    E-Print Network [OSTI]

    Blasko, Dennis

    2010-01-01

    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

  17. MHK Technologies/Oregon State University Columbia Power Technologies...

    Open Energy Info (EERE)

    OSU Project(s) where this technology is utilized *MHK ProjectsOSU Direct Drive Power Generation Buoys Technology Resource Click here Wave Technology Type Click here Point...

  18. 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...

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

    E-Print Network [OSTI]

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

    2007-01-01

    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

  20. Robotics for Learning

    E-Print Network [OSTI]

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

    2015-01-01

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

  1. 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)

    2014-06-16

    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.

  2. Distance Learning Faculty Handbook

    E-Print Network [OSTI]

    Lozano-Robledo, Alvaro

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

  3. 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

  4. Department of Science, Technology, &

    E-Print Network [OSTI]

    Huang, Wei

    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

  5. Responder Technology Alert Monthly

    E-Print Network [OSTI]

    PNNL-24014 Responder Technology Alert Monthly (Oct-Nov 2014) January 2015 JF Upton SL Stein #12;#12;PNNL-24014 Responder Technology Alert Monthly (Oct-Nov 2014) JF Upton SL Stein January 2015 Prepared for the Department of Homeland Security Science and Technology Directorate under Contract HSHQPM-14-X-00058. Pacific

  6. PUBLICATIONS BRANCH OF TECHNOLOGY

    E-Print Network [OSTI]

    INDEX of PUBLICATIONS by the BRANCH OF TECHNOLOGY BUREAU OF COMMERCIAL FISHERIES, 1955-59 Inclusive OF PUBLICATIONS BY THE BRANCH OF TECHNOLOGY BUREAU OF COMMERCIAL FISHERIES 1955-59 Inclusive by F. Bruce Sanford continue s, for the year s 1955- 59, the listing of publications by the Branch of Technology given

  7. Science &Technology Facilities Council

    E-Print Network [OSTI]

    Science &Technology Facilities Council Accelerator Science and Technology Centre Daresbury Science)1235 445808 www.stfc.ac.uk/astec Head office, Science and Technology Facilities Council, Polaris House, North Newton Group, La Palma: Joint Astronomy Centre, Hawaii. ASTeC Science Highlights 2009 - 2010 Science

  8. Technology Performance Exchange

    SciTech Connect (OSTI)

    2015-09-01

    To address the need for accessible, high-quality data, the Department of Energy has developed the Technology Performance Exchange (TPEx). TPEx enables technology suppliers, third-party testing laboratories, and other entities to share product performance data. These data are automatically transformed into a format that technology evaluators can easily use in their energy modeling assessments to inform procurement decisions.

  9. NORTHWEST REGIONAL TECHNOLOGY CENTER

    E-Print Network [OSTI]

    NORTHWEST REGIONAL TECHNOLOGY CENTER for Homeland Security Northwest Regional Technology Center May 2015 | 1 AROUND THE REGION IN HOMELAND SECURITY The Northwest Regional Technology Center (NWRTC.S. Army Cyber Command; and Michael Echols, Director, Cyber Joint Program Management Office National

  10. 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

  11. Transmission Enhancement Technology Report

    E-Print Network [OSTI]

    a recommendation of the most cost-effective methods and technologies to enhance electricity transmission from a review of methods and technologies with potential to enhance electricity transmission capability-traditional methods and technologies to increase the capacity of the high voltage electric power transmission system

  12. Building Technologies Office Window and Envelope Technologies...

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

    Technologies R&D Program Karma Sawyer, Ph.D. karma.sawyer@ee.doe.gov BTO Goal Reduce building energy use by 50% in 2030, compared to the "business-as- usual" energy consumption...

  13. Technology Policy and Economic Growth

    E-Print Network [OSTI]

    Borrus, Michael; Stowsky, Jay

    1997-01-01

    economic growth) and the Pentagon’s Technology Reinvestment20 Tassey, Technology and Economic Growth: Implications forTechnology Policy and Economic Growth Michael Borrus Jay

  14. 2008 Solar Technologies Market Report

    E-Print Network [OSTI]

    Price, S.

    2010-01-01

    Concentrating Solar Power—Technology, Cost, and Markets.Concentrating Solar Power—Technology, Cost, and Markets.Concentrating Solar Power—Technology, Cost, and Markets.

  15. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01

    land-based wind energy technology. 2011 Wind Technologiesfor a variety of energy technologies, including wind energy.Renewable Energy Laboratory’s National Wind Technology

  16. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01

    land-based wind energy technology. 2010 Wind Technologiesfor a variety of energy technologies, including wind energy.2010 Wind Technologies Market Report Federal Energy

  17. 2012 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2014-01-01

    land-based wind energy technology. 2012 Wind Technologiesfor a variety of energy technologies, including wind energy.of Energy (DOE) Wind & Water Power Technology Office team

  18. High Impact Technology Hub- Results

    Broader source: Energy.gov [DOE]

    Highlights, outcomes and activities to support the adoption of High Impact TechnologiesTechnology Highlights preview early results from current technology demonstrations.  Case Studies overview...

  19. Advanced Integrated Systems Technology Development

    E-Print Network [OSTI]

    2013-01-01

    Renewable Energy Technologies Transportation Advanced Integrated Systems Technology Development is the final report for the Advanced Integrated Systems Technology Development project (

  20. 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...

  1. Machine LearningMachine Learning SrihariSrihari Linear Dynamical Systems

    E-Print Network [OSTI]

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

  2. Comparison of Vehicle Efficiency Technology Attributes and Synergy Estimates

    SciTech Connect (OSTI)

    Duleep, G.

    2011-02-01

    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.

  3. Comparison of Vehicle Efficiency Technology Attributes and Synergy Estimates

    SciTech Connect (OSTI)

    Duleep, G.

    2011-02-01

    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 recently published technical articles in engineering journals. ICF examined technology synergy issues through an ICF in-house model that uses a discrete parameter approach.

  4. Technology reviews: Glazing systems

    SciTech Connect (OSTI)

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

    1992-09-01

    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.

  5. Advanced Oxidation Technology for Pulp Mill Effluent 

    E-Print Network [OSTI]

    Hart, J. R.

    1992-01-01

    TECHNOLOGY FOR PULP MILL EFFLUENT J. ROBERT HART, MANAGER, EPRI PULP & PAPER OFFICE, ATLANTA, GA ABSTRACT The composition of effluent from various pulping processes can exhibit a wide range of physical and chemical parameters. The dissolved solids... and had the necessary accessories to monitor gas and liquid flows, injection and sampling points, and off-gas detection. The ozone was generated with a Griffin Technics HC-l.O ozone generator. This unit is air-cooled and contains two dielectrics...

  6. Lessons Learned | Department of Energy

    Energy Savers [EERE]

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

  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. Inhomogeneity-induced variance of cosmological parameters

    E-Print Network [OSTI]

    Alexander Wiegand; Dominik J. Schwarz

    2012-02-18

    Modern cosmology relies on the assumption of large-scale isotropy and homogeneity of the Universe. However, locally the Universe is inhomogeneous and anisotropic. So, how can local measurements (at the 100 Mpc scale) be used to determine global cosmological parameters (defined at the 10 Gpc scale)? We use Buchert's averaging formalism and determine a set of locally averaged cosmological parameters in the context of the flat Lambda cold dark matter model. We calculate their ensemble means (i.e. their global values) and variances (i.e. their cosmic variances). We apply our results to typical survey geometries and focus on the study of the effects of local fluctuations of the curvature parameter. By this means we show, that in the linear regime cosmological backreaction and averaging can be reformulated as the issue of cosmic variance. The cosmic variance is found largest for the curvature parameter and discuss some of its consequences. We further propose to use the observed variance of cosmological parameters to measure the growth factor. [abbreviated

  9. Science & Technology RoadmapScience & Technology Roadmap 03/24/20063:03 PMSOCD Science & Technology Roadmap

    E-Print Network [OSTI]

    Kuligowski, Bob

    Science & Technology RoadmapScience & Technology Roadmap #12;03/24/20063:03 PMSOCD Science & Technology Roadmap 2 TABLE OF CONTENTS EXECUTIVE SUMMARY ..........................................................................................................................................19 4 ROADMAPS AND LINKAGES

  10. Graz University of Technology Institute for Software Technology

    E-Print Network [OSTI]

    Graz University of Technology Institute for Software Technology Birgit Vogtenhuber Problem Analysis.054, 3 VU Birgit Vogtenhuber Institute for Software Technology Graz University of Technology email: bvogt of Technology Institute for Software Technology Birgit Vogtenhuber Problem Analysis and Complexity Theory, 716

  11. Beyond six parameters: extending $\\Lambda$CDM

    E-Print Network [OSTI]

    Di Valentino, Eleonora; Silk, Joseph

    2015-01-01

    Cosmological constraints are usually derived under the assumption of a $6$ parameters $\\Lambda$-CDM theoretical framework or simple one-parameter extensions. In this paper we present, for the first time, cosmological constraints in a significantly extended scenario, varying up to $12$ cosmological parameters simultaneously, including the sum of neutrino masses, the neutrino effective number, the dark energy equation of state, the gravitational waves background and the running of the spectral index of primordial perturbations. Using the latest Planck 2015 data release (with polarization) we found no significant indication for extensions to the standard $\\Lambda$-CDM scenario, with the notable exception of the angular power spectrum lensing amplitude, $A_{\\rm lens}$ that is larger than the expected value at more than two standard deviations even when combining the Planck data with BAO and supernovae type Ia external datasets. In our extended cosmological framework, we find that a combined Planck+BAO analysis co...

  12. Earth Similarity Index with two free parameters

    E-Print Network [OSTI]

    Chandra, Suresh; Sharma, Mohit K

    2015-01-01

    We have derived Earth Similarity Index (ESI) with two free parameters m and T. These free parameters are optimized with the consideration that the planet Mars is almost similar to the Earth. For the optimized values of free parameters, the interior-ESI, surface-ESI and ESI for some planets are calculated. The results for m = 0.8 and T = 0.8 are compared with the values obtained by Schulze-Makuch {\\it et al.} (2011). We have found that the exoplanet 55 Cnc f is within 10% away from the threshold value T. The exoplanets HD 69830 c, 55 Cnc c, 55 Cnc f, 61 Vir d and HIP 57050 b are found to have ESI within 10% from the threshold value.

  13. 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.

  14. 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 ...

  15. Lessons Learned Quarterly Report, March 2004

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  16. 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 ...

  17. Adam Merkling Major: Information Technology

    E-Print Network [OSTI]

    Hamburger, Peter

    #12;Adam Merkling Major: Information Technology Position: Student System Administrator Employed Technology Position: User Technology Services Student Technician Employed Since: February 2011 #12;Gabi Mosquera Major: Electrical/Computer Engineering Position: User Technology Services Student Technician

  18. Image credit: Dreamstime Technology for

    E-Print Network [OSTI]

    through development of superconducting magnet technology. Without that research today's high- resolutionImage credit: Dreamstime Technology for research saves lives Technology developed to advance STFC in particle physics technology not only supported important experiments at CERN but pioneered early

  19. Technology transfer 1994

    SciTech Connect (OSTI)

    Not Available

    1994-01-01

    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.

  20. Regional Effort to Deploy Clean Coal Technologies

    SciTech Connect (OSTI)

    Gerald Hill; Kenneth Nemeth; Gary Garrett; Kimberly Sams

    2009-01-31

    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.

  1. 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.

    2008-11-01

    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.

  2. Time as a parameter of statistical ensemble

    E-Print Network [OSTI]

    Sergei Viznyuk

    2011-11-26

    The notion of time is derived as a parameter of statistical ensemble representing the underlying system. Varying population numbers of microstates in statistical ensemble result in different expectation values corresponding to different times. We show a single parameter which equates to the notion of time is logarithm of the total number of microstates in statistical ensemble. We discuss the implications of proposed model for some topics of modern physics: Poincar\\'e recurrence theorem vs. Second Law of Thermodynamics, matter vs. anti-matter asymmetry of the universe, expansion of the universe, Big Bang.

  3. Parameter variation and scenario analysis in impact assessments of emerging energy technologies

    E-Print Network [OSTI]

    Breunig, Hanna Marie

    2015-01-01

    Challenges for Life-Cycle Assessment of Biofuels. Environ.Shehabi, A. Zhai, P. Life-cycle assessment of electric powerdevelopments in Life Cycle Assessment. Journal of Env.

  4. Parameter variation and scenario analysis in impact assessments of emerging energy technologies

    E-Print Network [OSTI]

    Breunig, Hanna Marie

    2015-01-01

    from a natural gas power plant (0.635 kgCO 2 /kWh). 53 We2 , such as natural gas power plants, captured CO 2 in thecoal- and natural gas- fired power plants, and are often

  5. Parameter variation and scenario analysis in impact assessments of emerging energy technologies

    E-Print Network [OSTI]

    Breunig, Hanna Marie

    2015-01-01

    propane, fuel oils, and district heating. The FCS are sizedpropane (p), and district heating (dh) in large hospitals100% of energy from district heating and fuel oils (E DH and

  6. Parameter variation and scenario analysis in impact assessments of emerging energy technologies

    E-Print Network [OSTI]

    Breunig, Hanna Marie

    2015-01-01

    environmental impacts of wind power: a review of presentand applications for wind power by Samir Succar and RobertMcKone et al. , 2011), wind power (Arvesen and Hertwich,

  7. Parameter variation and scenario analysis in impact assessments of emerging energy technologies

    E-Print Network [OSTI]

    Breunig, Hanna Marie

    2015-01-01

    for reuse in hydro-fracking wells since 2005 ( Earles andcompetition with hydraulic-fracking would prevent 100%

  8. Parameter variation and scenario analysis in impact assessments of emerging energy technologies

    E-Print Network [OSTI]

    Breunig, Hanna Marie

    2015-01-01

    typical of enhanced geothermal systems (EGS) which rechargeUnlike traditional enhanced geothermal systems, where waterfor enhanced oil recovery (EOR) systems; and geothermal

  9. Reactor Technology | Nuclear Science | ORNL

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

    Reactor Technology Advanced Reactor Concepts Advanced Instrumentation & Controls Light Water Reactor Sustainability Safety and Regulatory Technology Small Modular Reactors Nuclear...

  10. Learning | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy A plug-inPPLforLDRDEnergyTurbine bladesJune 22, 2015BoydLearn More

  11. Early Lessons Learned

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES Science Network Requirements Report ofEnergy andLessons Learned

  12. System Design - Lessons Learned, Generic Concepts, Characteristics...

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

    Design - Lessons Learned, Generic Concepts, Characteristics & Impacts System Design - Lessons Learned, Generic Concepts, Characteristics & Impacts Presented at the DOE-DOD...

  13. Geothermal innovative technologies catalog

    SciTech Connect (OSTI)

    Kenkeremath, D.

    1988-09-01

    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.

  14. Vicarious Interactions and Self-direct Learning of Students by Course Delivery Strategy 

    E-Print Network [OSTI]

    Seidel, Edmund

    2012-07-16

    -ins, and online tutorials? (Dooley, Lindner, & Dooley, 2005, p. 285) Listserv ? ?a program that allowed for the creation of a mailing or distribution list, in the classic, non-computer sense of those terms? (Hyman, 2003, p. 19) 12 Multimedia ? ?bringing..., online editing and feedback, evaluation of learning, interactive television, streaming video, voice-over PowerPoint, etc. Learner-to-technology ? online tutorials on the use of technology, online help, downloading plug-ins, installation of software...

  15. Approved Module Information for BN3320, 2014/5 Module Title/Name: Managing Information Technology in a

    E-Print Network [OSTI]

    Neirotti, Juan Pablo

    Approved Module Information for BN3320, 2014/5 Module Title/Name: Managing Information Technology? No Module Credits: 10 Module Management Information Module Leader Name Andreas Schroeder Email Address Learning Information Module Aims: This module demonstrates the role of Information Technology (IT

  16. North Carolina State University Adaptive Parameter

    E-Print Network [OSTI]

    Chow, Mo-Yuen

    important energy storage in Electric Vehicles (EVs) and the Smart Grid. Regarding those applications a vast amount of attention as the most important energy storage device in Electric Vehicles (EVs) and the rapidly growing Smart Grid. Different new technologies have been developed to improve the energy and power

  17. 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

  18. Front End Chicane Parameters J. Scott Berg

    E-Print Network [OSTI]

    McDonald, Kirk

    with best transmission for a given proton energy cutoff For higher proton energy cutoffs, two sets proton energy cutoffs Best cutoff will depend on downstream details Lower cutoff energy requires less parameters for high energy cutoff Not dealing with absorber for low energy protons Chicane field is 2 T Could

  19. Breaking parameter modulated chaotic secure communication system

    E-Print Network [OSTI]

    G. Alvarez; F. Montoya; M. Romera; G. Pastor

    2003-11-20

    This paper describes the security weakness of a recently proposed secure communication method based on parameter modulation of a chaotic system and adaptive observer-based synchronization scheme. We show that the security is compromised even without precise knowledge of the chaotic system used.

  20. MIXMAX random number generator. Generalised parameters

    E-Print Network [OSTI]

    Savvidy, Konstantin

    2015-01-01

    We are exploring the parameter space of the MIXMAX random number generator, which is based on Kolmogorov-Anosov C-system defined on a torus. For a two-parameter family of C-system operators A(N,s), parametrised by the integers N and s, we found new larger values of N. One can deduce from this data that the entropy and the period are sharply increasing with N. For all of these parameters, the sequence passes all tests in the BigCrush suite. For the largest of them, N=44851, the period approaches million digits. The generator with N=256 and s=487013230256099064 has the best combination of speed, reasonable size of the state and availability for implementing the parallelisation and is currently the default generator in the ROOT software package at CERN. A three-parameter generator A(N,s,m) of the MIXMX family of generators is also presented, and it provides high quality statistical properties for small values of N.

  1. Filtering and parameter estimation for electricity

    E-Print Network [OSTI]

    Fournier, John J.F.

    Filtering and parameter estimation for electricity markets by Alberto Molina-Escobar B to be particularly difficult for electricity, where markets are complex, and ex- hibit a number of unique features, mainly due to the problems involved in storing electricity. In this thesis we propose three models

  2. Socio-Economic Status "Defining" SES parameters

    E-Print Network [OSTI]

    Gabrieli, John

    Socio-Economic Status Data "Defining" SES parameters · Objective SES: · Individual and/or householdArthur Ladder) · In Community (MacArthur Ladder) · Other considerations: · Social, economic, and psychological personal evaluation be reflection of self-esteem? - Half parent/half subject reports - Evidence

  3. Digital Sensor Technology

    SciTech Connect (OSTI)

    Ted Quinn; Jerry Mauck; Richard Bockhorst; Ken Thomas

    2013-07-01

    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.

  4. Adaptation, Learning, and Optimization over

    E-Print Network [OSTI]

    California at Los Angeles, University of

    Adaptation, Learning, and Optimization over Networks Ali H. Sayed University of California at Los 2014 A. H. Sayed DOI: 10.1561/2200000051 Adaptation, Learning, and Optimization over Networks Ali H . . . . . . . . . . . . . . . . . . . . . . . . . 7 1.6 Notation and Symbols . . . . . . . . . . . . . . . . . . . . 8 2 Optimization by Single Agents

  5. Bachelor of Teaching & Learning (Primary)

    E-Print Network [OSTI]

    Hickman, Mark

    Primary. 2015 Bachelor of Teaching & Learning (Primary) College of Education Education #12 of Teaching and Learning (Primary) Primary Teaching Primary teaching (for Years 1­8, ages 5­13) allows you to use your energy, commitment and creativity in a rewarding and satisfying career, which can make a real

  6. Fast learning from -mixing Observations

    E-Print Network [OSTI]

    Steinwart, Ingo

    rates for some learning methods such as empirical risk minimization (ERM), least squares support vector and quantile regression. It turns out that for i.i.d. processes our learning rates for ERM and SVMs for empirical risk minimization (ERM) when the sampling sequence satisfies an -mixing condition. More recently

  7. EDUCATION 01 THE LEARNING BRAIN

    E-Print Network [OSTI]

    1 EDUCATION 01 THE LEARNING BRAIN: INTRODUCTION TO CHILD DEVELOPEMENT AND EDUCATION FALL of the typically developing learning brain. Course Goals · Introduce the developing field of Mind, Brain is to explore the connections between brain research and education. The assignment has 3 parts. 1) Find

  8. Cost and Performance Assumptions for Modeling Electricity Generation Technologies

    SciTech Connect (OSTI)

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

    2010-11-01

    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.

  9. Overview: STEEL Enabling Technologies

    Broader source: Energy.gov [DOE]

    Presentation from the U.S. DOE Office of Vehicle Technologies "Mega" Merit Review 2008 on February 25, 2008 in Bethesda, Maryland.

  10. 2016 Technology Innovation Projects

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

    Projects FY 2016 Technology Innovation Project Briefs Demand Response TIP 292: Advanced Heat Pump Water Heater Research TIP 336: Scaled Deployment and Demonstration of Demand...

  11. Overview of biomass technologies

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    The biomass overview of the Renewable Energy Technology Characterizations describes the technical and economic status of this emerging renewable energy option for electricity supply.

  12. Ocean Energy Technology Overview

    SciTech Connect (OSTI)

    none,

    2009-08-05

    Introduction to and overview of ocean renewable energy resources and technologies prepared for the U.S. Department of Energy Federal Energy management Program.

  13. Technology transfer issue

    SciTech Connect (OSTI)

    Jacobson, C.

    1982-05-31

    Testimony by Lawrence J. Brady, Commerce Assistant Secretary for Trade Administration, at Congressional hearings on the national security issues of technology transfers to the Soviet Union identified steps the US needs to take to deal effectively with the problem. These steps include an understanding of how the Soviet Union has and will benefit militarily by acquiring Western technology and efforts to work with other countries, counterintelligence agencies, and industries to stem the flow of technological information. Brady outlined changes in technology development that complicate the enforcement of transfer rules, and emphasized the importance of a close relationship between the business community and the Commerce Department. (DCK)

  14. Supervisory Information Technology Specialist

    Broader source: Energy.gov [DOE]

    A successful candidate in this position will be responsible for providing Information Technology (IT) infrastructure, capabilities and technical support to the Department of Energy (DOE),...

  15. Genome Science/Technologies

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

    primary focus is to develop technologies to obtain near complete genomes from single cells for the purposes of improved taxonomic identification and determining metabolic...

  16. Renewable energy technology characterizations

    SciTech Connect (OSTI)

    None, None

    1997-12-01

    The Renewable Energy Technology Characterizations describe the technical and economic status of the major emerging renewable energy options for electricity supply.

  17. TECHNOLOGY PROGRAM PLAN

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

    efforts conducted within the Carbon Capture program include development of advanced solvents, sorbents, and membranes for both the Post- and Pre-Combustion Technology Areas...

  18. ENERGY EFFICIENCY TECHNOLOGY ROADMAP

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

    managed the overall development and maturation of this Energy Efficiency Technology Roadmap, the effort would not have been possible without the active engagement of a diverse...

  19. Collaborative Transmission Technology Roadmap

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

    Addendum to the Collaborative Transmission Technology Roadmap March 2014 Bonneville Power Administration Enhanced PDF Functionality Functionality of the PDF version of this...

  20. Mobile Technology Management

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

    2013-11-21

    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.

  1. Fuel Cell Technologies Budget

    SciTech Connect (OSTI)

    EERE

    2012-03-16

    The Fuel Cell Technologies Office receives appropriations from Energy and Water Development. The offices's major activities and budget are outlined in this Web page.

  2. Arc Position Sensing Technology

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

    (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 chemical and...

  3. Consumer Vehicle Technology Data

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

    technologies Relevance: An informed understanding of the consumer allows VTO to achieve petroleum-use reduction goals through: * Robust assumptions for consumer modeling,...

  4. Consumer Vehicle Technology Data

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

    technologies. Relevance: An informed understanding of the consumer allows VTO to achieve petroleum-use reduction goals through: * Robust assumptions for consumer modeling,...

  5. Building Technologies Office

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

    Technologies Office Richard Karney, P.E. May 8, 2014 40% 60% National Energy Consumption Reducing consumption or improving performance calls for cutting-edge...

  6. Marine & Hydrokinetic Technologies

    SciTech Connect (OSTI)

    2011-07-01

    This fact sheet describes the Wind and Water Power Program's current approach to supporting the development and deployment of marine and hydrokinetic technologies.

  7. TEAM Technologies, Inc.

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

    that by designating TEAM Technologies as one of only a handful of Strategic Suppliers working at the Laboratories," says Sachs. Licensing Partners - Sandia's Stingray...

  8. Solar Energy Technologies Office

    Office of Energy Efficiency and Renewable Energy (EERE)

    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...

  9. A retrospective of VAWT technology.

    SciTech Connect (OSTI)

    Ashwill, Thomas D.; Sutherland, Herbert J.; Berg, Dale E.

    2012-01-01

    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.

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

    SciTech Connect (OSTI)

    Kate Burke

    2004-01-01

    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.

  11. Turfgrass: Field to provide lab to research new technologies 

    E-Print Network [OSTI]

    Wythe, Kathy

    2011-01-01

    systems. Project members will use information gained from this project to develop educational materials for that area?s home consumers, he said. Field to provide lab to research new technologies 14 tx H2O Summer 2011 Turfgrass Continued (Left) Dr... will enter the industry with ?rst-hand experience in learning how to solve complex issues with new and innovative technologies.? Sco?s is providing ????,??? over ?ve years to create the research facility through the Texas A&M Foundation. A separate...

  12. Benchmarking and performance improvement at Rocky Flats Technology Site

    SciTech Connect (OSTI)

    Elliott, C.; Doyle, G.; Featherman, W.L.

    1997-03-01

    The Rocky Flats Environmental Technology Site has initiated a major work process improvement campaign using the tools of formalized benchmarking and streamlining. This paper provides insights into some of the process improvement activities performed at Rocky Flats from November 1995 through December 1996. It reviews the background, motivation, methodology, results, and lessons learned from this ongoing effort. The paper also presents important gains realized through process analysis and improvement including significant cost savings, productivity improvements, and an enhanced understanding of site work processes.

  13. DECOMMISSIONING CHALLENGES AT THE ROCKY FLATS ENVIRONMENTAL TECHNOLOGY SITE

    SciTech Connect (OSTI)

    Dorr, K. A.; Hoover, J.

    2002-02-25

    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.

  14. TOKYO INSTITUTE OF TECHNOLOGY TOKYO INSTITUTE OF TECHNOLOGY TOKYO INSTITUTE OF TECHNOLOGY

    E-Print Network [OSTI]

    #12;06 06 TOKYO INSTITUTE OF TECHNOLOGY 0201 CONTENTS 03 08 09 10 15 17 25 31 33 37 41 0201 08 23 TokyoTech #12;TOKYO INSTITUTE OF TECHNOLOGY TOKYO INSTITUTE OF TECHNOLOGY 0403 20 1 5 11 #12;TOKYO INSTITUTE OF TECHNOLOGY TOKYO INSTITUTE OF TECHNOLOGY 0605 4 3 2 5 5 4 3 #12;TOKYO INSTITUTE OF TECHNOLOGY

  15. Introduction Angluin's Learning Approach Learning Design Models Dedicated Tool: Smyle Conclusion Replaying Play-In Play-Out

    E-Print Network [OSTI]

    Ábrahám, Erika

    Introduction Angluin's Learning Approach Learning Design Models Dedicated Tool: Smyle Conclusion Approach Learning Design Models Dedicated Tool: Smyle Conclusion Outline 1 Introduction 2 Angluin's Learning Approach 3 Learning Design Models 4 Dedicated Tool: Smyle 5 Conclusion #12;Introduction Angluin

  16. Digital Actuator Technology

    SciTech Connect (OSTI)

    Ken Thomas; Ted Quinn; Jerry Mauck; Richard Bockhorst

    2014-09-01

    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.

  17. Technology Catalogue. First edition

    SciTech Connect (OSTI)

    Not Available

    1994-02-01

    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).

  18. Emerging Technologies - Capturing Innovation with Technology

    SciTech Connect (OSTI)

    None

    2012-12-01

    ET team research results are critical to achieving 50% energy savings across U.S. buildings within the next two decades. The ET team focuses on supporting research, development, and tech-to-market opportunities of high impact technologies, or those that demonstrate potential for achieving significant energy savings cost effectively.

  19. Advanced uranium enrichment technologies

    SciTech Connect (OSTI)

    Merriman, R.

    1983-03-10

    The Advanced Gas Centrifuge and Atomic Vapor Laser Isotope Separation methods are described. The status and potential of the technologies are summarized, the programs outlined, and the economic incentives are noted. How the advanced technologies, once demonstrated, might be deployed so that SWV costs in the 1990s can be significantly reduced is described.

  20. Gasification: A Cornerstone Technology

    SciTech Connect (OSTI)

    Gary Stiegel

    2008-03-26

    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