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


1

Century Learning through Apple Technology  

E-Print Network [OSTI]

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

2

E-learning? Technology enhanced  

E-Print Network [OSTI]

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

Loch, Birgit

3

Learning Outcomes Food Science & Technology  

E-Print Network [OSTI]

for the long-term sustainability of Oregon's food processing industry · Provide service to the professionLearning Outcomes Food Science & Technology Oregon State University The Department's Learning of the Department of Food Science & Technology at Oregon State University is to serve food technologists, food

Escher, Christine

4

Technology Enhanced Learning and Distance Learning February 21, 2008  

E-Print Network [OSTI]

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

Southern California, University of

5

Design Approaches in Technology-Enhanced Learning  

E-Print Network [OSTI]

Design Approaches in Technology-Enhanced Learning Yishay Mor* and Niall Winters Institute of Education, University of London, UK Design is critical to the successful development of any interactive learning environment (ILE). Moreover, in technology-enhanced learning (TEL) the design process requires

Paris-Sud XI, Université de

6

Literature Review in Mobile Technologies and Learning  

E-Print Network [OSTI]

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

Paris-Sud XI, Universit de

7

IT Revolution in Learning Technology Riichiro Mizoguchi  

E-Print Network [OSTI]

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

Mizoguchi, Riichiro

8

Digital Technology For Conviviality 99 Lessons Learned 5555  

E-Print Network [OSTI]

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

9

Active Exploration for Robot Parameter Selection in Episodic Reinforcement Learning  

E-Print Network [OSTI]

Active Exploration for Robot Parameter Selection in Episodic Reinforcement Learning Oliver Kroemer-dimensional. Given the inherent exploration-exploitation dilemma of the problem, we propose treating in continuous multi- dimensional spaces. The approach is based on Gaussian process regression, which can

10

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

11

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

E-Print Network [OSTI]

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

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

2011-01-01T23:59:59.000Z

12

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

SciTech Connect (OSTI)

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

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

2011-05-25T23:59:59.000Z

13

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

E-Print Network [OSTI]

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

Lee, Hyowon

14

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

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

focused on topics outside of electric machines, to learn about the physics behind motors and generators. It is hard to believe that this technology has been around for well...

15

The Influence of Integrating Technology in Language Learning Courses  

E-Print Network [OSTI]

Second language learning (L2) in many parts of the world often involves students in rote memorization and repetitive tasks that are not motivational. This study investigated how technology can be integrated into teaching ...

Chen, Yulin

2011-04-26T23:59:59.000Z

16

Session 2380 TECHNOLOGY AS A TEACHING AND LEARNING TOOL  

E-Print Network [OSTI]

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

Larkin, Teresa L.

17

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

E-Print Network [OSTI]

learning curves for energy technology policy: A component-publicly supported energy technologies." Energy Policy 37(in renewable energy technologies." Energy Policy 34(2006):

Taylor, Margaret

2014-01-01T23:59:59.000Z

18

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

E-Print Network [OSTI]

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

Paris-Sud XI, Universit de

19

Literature Review in Languages, Technology and Learning  

E-Print Network [OSTI]

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

Paris-Sud XI, Universit de

20

January 2013 Teaching, Learning and Technology Faculty Institute  

E-Print Network [OSTI]

8:45-9 Coffee and Danishes and a Welcome: Welcoming remarks/introductions 9-9:45 How is Technology Moodle Question and Answer: This session will provide an opportunity for beginners and power users to ask and discuss solutions. Blake Haggerty and Jiyeon Lee Camtasia Relay: Relay allows users to create learning

Gary, Dale E.

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


21

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

E-Print Network [OSTI]

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

Novick, David G.

22

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

E-Print Network [OSTI]

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, ...

Resnick, Mitchel

23

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

E-Print Network [OSTI]

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

Pavlova, Anna

2003-01-27T23:59:59.000Z

24

Estimating Building Simulation Parameters via Bayesian Structure Learning  

SciTech Connect (OSTI)

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

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

2013-01-01T23:59:59.000Z

25

Visual Speech in Technology-Enhanced Learning Department of Computer Science  

E-Print Network [OSTI]

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

Maddock, Steve

26

Adapting Game Technology to Support Individual and Organizational Learning Emily Oh and Andr van der Hoek  

E-Print Network [OSTI]

Adapting Game Technology to Support Individual and Organizational Learning Emily Oh and André van the software process in its fullest. Par- ticularly in the context of individual and organizational learning that facilitates individual and organizational learning. The environment supports individual learning by allowing

van der Hoek, André

27

Advanced research in instrumentation and control technology: Acoustic parameter studies  

SciTech Connect (OSTI)

In the process of developing acoustic/ultrasonic instruments for coal conversion and combustion processes, there is a need to understand various complex relations between acoustic parameters and physical properties of coal/gas and coal/liquid media so that the instrument readings and measurement accuracy can be evaluated and new sensing techniques can be developed. The primary objective of this project is to examine the theory and perform measurements of acoustic/ultrasonic parameters in such coal media. The acoustic parameters of interest are sound speed, attenuation, scattering pattern, and resonance scattering, which relate directly or indirectly to coal concentration, particle size and distribution, and rheological and thermal properties. In summary, we have developed a laboratory technique for accurate attenuation measurement in highly viscous liquids and coal slurries. For pure liquids, the attenuation in low frequency (0.8 to 2 MHz) provides a direct measurement of fluid shear viscosity. For coal slurries of low concentration (<10% by weight) attenuation in the same frequency range still follows the variation of fluid viscosity. But, for slurries of higher coal concentration, anomalous attenuation may be measured, depending on the fluid structure, which is believed to be a micor-inhomogeneous medium. 8 refs., 5 figs., 1 tab.

Sheen, S.H.; Bobis, J.P.; Raptis, A.C.

1986-01-01T23:59:59.000Z

28

Concepts and methods for exploring the future of learning with digital technologies  

E-Print Network [OSTI]

Concepts and methods for exploring the future of learning with digital technologies D25.4.1 (Final) Current and future usages of E-learning metadata and ontologies. Main author : Carsten Ullrich (USAAR on current and future usages of annotations, metadata and ontologies in the e-learning projects of the JEIRP

Boyer, Edmond

29

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

E-Print Network [OSTI]

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

30

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

E-Print Network [OSTI]

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

Milchberg, Howard

31

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

E-Print Network [OSTI]

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

Boyer, Edmond

32

Dependence between Information-Communication Technologies and Some Parameters of Globalization  

E-Print Network [OSTI]

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

Borissova, Daniela

33

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

E-Print Network [OSTI]

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

Sokalski, Krzysztof; ?lusarek, Barbara

2015-01-01T23:59:59.000Z

34

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

E-Print Network [OSTI]

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

Krzysztof Sokalski; Bartosz Jankowski; Barbara ?lusarek

2015-03-11T23:59:59.000Z

35

A comparative analysis of technological learning systems in emerging rotorcraft companies  

E-Print Network [OSTI]

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, ...

Gan, Thiam Soon

2011-01-01T23:59:59.000Z

36

Design approaches in technology enhanced learning Yishay Mor and Niall Winters  

E-Print Network [OSTI]

Design approaches in technology enhanced learning Yishay Mor and Niall Winters London Knowledge Lab, Institute of Education, University of London {y.mor, n.winters}@ioe.ac.uk Abstract Design is a critical learning (TEL), the design process requires input from many diverse areas of expertise. As such, anyone

Paris-Sud XI, Université de

37

Learning outcomes MSc in Civil Engineering (Concrete Technology) RU-School of Science and Engineering 1  

E-Print Network [OSTI]

including fracture mechanics, high performance concrete including self-compacting concrete and durabilityLearning outcomes MSc in Civil Engineering (Concrete Technology) RU-School of Science and Engineering 1 MSc in Civil Engineering (Cycle 2, level 4) Specialisation: Concrete Technology MSc in Civil

Karlsson, Brynjar

38

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

Office of Energy Efficiency and Renewable Energy (EERE)

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...

39

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

E-Print Network [OSTI]

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 ...

Rand-Nash, Thomas

2012-01-01T23:59:59.000Z

40

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

E-Print Network [OSTI]

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

Jacob, Bruce

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


41

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

E-Print Network [OSTI]

Scanlon, E., Jones, A. & Waycott, J. (2005). Mobile technologies: prospects for their use December 2005 ISSN: 1365-893X Mobile technologies: prospects for their use in learning in informal science settings Eileen Scanlon, Ann Jones, Jenny Waycott Abstract: Recent developments in mobile technologies have

Paris-Sud XI, Universit de

2005-01-01T23:59:59.000Z

42

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

E-Print Network [OSTI]

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

Young, R. Michael

43

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

SciTech Connect (OSTI)

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.

Nguyen, Q.H.

1994-09-12T23:59:59.000Z

44

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

E-Print Network [OSTI]

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

45

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

E-Print Network [OSTI]

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

Ickert-Bond, Steffi

46

Department of Engineering Technology Technology Education  

E-Print Network [OSTI]

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

Bieber, Michael

47

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

E-Print Network [OSTI]

Proposals for Technology Innovation Projects Student technology fees Technology Committee is allocating a portion of the student technology fees received technology in this context. The committee is particularly looking for projects that

Farritor, Shane

48

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

E-Print Network [OSTI]

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

Corran, Ruth

49

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

SciTech Connect (OSTI)

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.

Kayran, D.

2010-02-01T23:59:59.000Z

50

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

E-Print Network [OSTI]

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 ...

Chapman, Robbin Nicole, 1958-

2006-01-01T23:59:59.000Z

51

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

52

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

E-Print Network [OSTI]

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

Kowalski, F V

2013-01-01T23:59:59.000Z

53

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

SciTech Connect (OSTI)

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

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

2006-09-01T23:59:59.000Z

54

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

SciTech Connect (OSTI)

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.

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

2006-12-01T23:59:59.000Z

55

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

E-Print Network [OSTI]

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

Gumerman, Etan; Marnay, Chris

2004-01-01T23:59:59.000Z

56

Energy Policy 34 (2006) 16451658 Technological learning and renewable energy costs: implications for  

E-Print Network [OSTI]

electricity cost estimates used in energy policy planning models. Sensitivities of the learning rates: Learning by doing; Renewable energy costs; Research expenditures 1. Introduction Changes in the electricity,000 MW by 2000 (McVeigh et al., 1999). Analysts in the private sector produced similar scenarios

Vermont, University of

57

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

E-Print Network [OSTI]

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 ...

Wright, Janelle N., 1978-

2003-01-01T23:59:59.000Z

58

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

E-Print Network [OSTI]

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

Chan, Rida

2006-01-01T23:59:59.000Z

59

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

E-Print Network [OSTI]

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 ...

Palazzolo, Jerome J

2005-01-01T23:59:59.000Z

60

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

E-Print Network [OSTI]

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 ...

Yee, Susan, 1966-

2001-01-01T23:59:59.000Z

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


61

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

E-Print Network [OSTI]

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 ...

Kar, Ashish M. (Ashish Mohan)

2007-01-01T23:59:59.000Z

62

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

E-Print Network [OSTI]

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

Hunter, Starling David, III

2003-08-22T23:59:59.000Z

63

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

E-Print Network [OSTI]

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

Larkin, Teresa L.

64

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

E-Print Network [OSTI]

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

Narasayya, Vivek

65

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

E-Print Network [OSTI]

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

Fossen, Haakon

66

Technology-Mediated Multilingual Learning Experiences: the OCOL (One Character One Language) model  

E-Print Network [OSTI]

the acquisition and the development of bilingualism [1][3][8][12]. Social and political contexts contribute in extremely complex and varied multilingual and multicultural environments. In their everyday life multilingual learning contexts in educational software. As an example, we propose the "OCOL" (One Character One

Bourguet, Marie-Luce

67

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

E-Print Network [OSTI]

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

68

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

E-Print Network [OSTI]

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 ...

Mukora, Audrey Etheline

2014-06-30T23:59:59.000Z

69

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

E-Print Network [OSTI]

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 ...

Witinski, Paul (Paul F.)

2010-01-01T23:59:59.000Z

70

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

SciTech Connect (OSTI)

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

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

2003-02-25T23:59:59.000Z

71

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

E-Print Network [OSTI]

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 ...

Srinivas, Smita

2004-01-01T23:59:59.000Z

72

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

E-Print Network [OSTI]

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

Yeh, Sonia; Rubin, Edward S.

2007-01-01T23:59:59.000Z

73

Technology Application Centers: Facilitating Technology Transfer  

E-Print Network [OSTI]

transfer plus technology application. A&C Enercom has learned from experience that technology deployment will not occur unless utilities achieve both technology transfer (e.g, the dissemination of information) and technology application (e.g., the direct...

Kuhel, G. J.

74

Collaborative learning in software development  

E-Print Network [OSTI]

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

Langseth, Helge

75

Machine Learning Techniques Applied to Sensor Data Correction in Building Technologies  

E-Print Network [OSTI]

in energy consumption when the compressor is operating and when the refrigerator doors are opened. · Data inefficient buildings with new and innovative technologies that help to curb energy consumption will reduce, humidity, pressure, and liquid flow data. · Refrigerator energy is harder to predict due to large spikes

Wang, Xiaorui "Ray"

76

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

E-Print Network [OSTI]

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

77

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

E-Print Network [OSTI]

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.

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

2001-01-01T23:59:59.000Z

78

Automated Tuning of Optimization Software Parameters  

E-Print Network [OSTI]

Oct 29, 2007 ... Keywords: parameter tuning, machine learning, design of experiments, artificial intelligence. Category 1: Optimization Software and Modeling...

Mustafa Baz

2007-10-29T23:59:59.000Z

79

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassiveSubmittedStatus TomAboutManusScience and InnovationexperimentsTechnology

80

IIT SCHOOL OF APPLIED TECHNOLOGY  

E-Print Network [OSTI]

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

Heller, Barbara

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


81

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION  

E-Print Network [OSTI]

MICHIGAN TECHNOLOGICAL UNIVERSITY CLASSIFICATION DESCRIPTION Job Title: DIRECTOR Department: CENTER faculty in developing and assessing course goals in support of program and university learning goals for online and blended learning. Provide assistance in evaluating and implementing educational technologies

Endres. William J.

82

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;...

83

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

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

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

84

adaptive parameter estimation: Topics by E-print Network  

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

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

85

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

E-Print Network [OSTI]

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

Paris-Sud XI, Universit de

86

WIPP Compliance Certification Application calculations parameters. Part 1: Parameter development  

SciTech Connect (OSTI)

The Waste Isolation Pilot Plant (WIPP) in southeast New Mexico has been studied as a transuranic waste repository for the past 23 years. During this time, an extensive site characterization, design, construction, and experimental program was completed, which provided in-depth understanding of the dominant processes that are most likely to influence the containment of radionuclides for 10,000 years. Nearly 1,500 parameters were developed using information gathered from this program; the parameters were input to numerical models for WIPP Compliance Certification Application (CCA) Performance Assessment (PA) calculations. The CCA probabilistic codes frequently require input values that define a statistical distribution for each parameter. Developing parameter distributions begins with the assignment of an appropriate distribution type, which is dependent on the type, magnitude, and volume of data or information available. The development of the parameter distribution values may require interpretation or statistical analysis of raw data, combining raw data with literature values, scaling of lab or field data to fit code grid mesh sizes, or other transformation. Parameter development and documentation of the development process were very complicated, especially for those parameters based on empirical data; they required the integration of information from Sandia National Laboratories (SNL) code sponsors, parameter task leaders (PTLs), performance assessment analysts (PAAs), and experimental principal investigators (PIs). This paper, Part 1 of two parts, contains a discussion of the parameter development process, roles and responsibilities, and lessons learned. Part 2 will discuss parameter documentation, traceability and retrievability, and lessons learned from related audits and reviews.

Howarth, S.M.

1997-11-14T23:59:59.000Z

87

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

E-Print Network [OSTI]

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

Maroncelli, Mark

88

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

89

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

E-Print Network [OSTI]

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...

Irby, Travis Lee

2014-02-03T23:59:59.000Z

90

Machine Learning ! ! ! ! ! Srihari Parameter Estimation for  

E-Print Network [OSTI]

· Bayesian Approach ­Thumbtack vs Coin Toss · Uniform Prior vs Beta Prior ­Multinomial · Dirichlet Prior 2 · Statistical estimation theory deals with Confidence Intervals ­E.g., in election polls 61 + 2 percent plan

91

Lessons Learned  

E-Print Network [OSTI]

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

DiMento, Joseph F.C.

2000-01-01T23:59:59.000Z

92

Continual Learning  

Broader source: Energy.gov [DOE]

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

93

Edmund G. Brown Jr. LIFE HISTORY PARAMETERS OF  

E-Print Network [OSTI]

History Parameters of Common Marine Fish Subject to Entrainment. California Energy Commission, PIER · Renewable Energy Technologies · Transportation Life History Parameters of Common Southern California MEdmund G. Brown Jr. Governor LIFE HISTORY PARAMETERS OF COMMON SOUTHERN CALIFORNIA MARINE FISHES

94

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)

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)

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

2013-07-01T23:59:59.000Z

95

Implementing Learning Design to support web-based learning  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

96

Team Leader, Learning for Livelihoods Commonwealth of Learning  

E-Print Network [OSTI]

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

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

97

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

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

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

98

Learning Management System Transition Project  

E-Print Network [OSTI]

Learning Management System Transition Project Kickoff Jim Snell Director Instructional Technology Services #12;History · Texas A&M started using the Campus Edition WebCT learning management system (LMS Process March 2012 · Project manager hired March 2012 · ITS project team assigned April 2012 · Contract

99

District Energy Technologies | Department of Energy  

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

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

100

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]

with the uncertainty regarding the technology (Bjornstad et al. 2001, Sirmans and Yavas 2001), i.e. managers place higher value on waiting when less is known about the technology. The value of waiting is directly influenced by the likelihood that the new... of immediate failure (b), and the cost of deferral (c) ((Bjornstad et al. 2001, Sirmans and Yavas 2001). These values are subjective in an individual decision context. Thus, I investigate the intrinsic valuations of these three components by utilizing...

Loraas, Tina Marie

2005-11-01T23:59:59.000Z

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


101

220 SDSU General Catalog 2012-2013 Educational Technology  

E-Print Network [OSTI]

220 SDSU General Catalog 2012-2013 Educational Technology In the College of Education OFFICE: North degree in education. Concentration in educational technology. Specialization in educational computing. Specialization in workforce education and lifelong learning. Minor in educational technology. Certificate

Gallo, Linda C.

102

222 SDSU General Catalog 2013-2014 Educational Technology  

E-Print Network [OSTI]

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

Gallo, Linda C.

103

Using simulation to model and understand group learning Maartje Spoelstra  

E-Print Network [OSTI]

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

Sklar, Elizabeth

104

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

E-Print Network [OSTI]

Mobile-Learning for Boise State: A Proposal to Catalyze a Transformation in Teaching and Learning Fall 2011 Task Force for Teaching, Learning and Technology #12;Mobile-Learning for Boise State University 2 proposal submitted August 2011 EXECUTIVE SUMMARY The integration of mobile technology

Barrash, Warren

105

ENGINEERING TECHNOLOGY Engineering Technology  

E-Print Network [OSTI]

, Mechatronics Technology, and Renewable Energy Technology. Career Opportunities Graduates of four: business administration, wind farm management, aircraft maintenance, tooling production, quality and safety or selected program track focus. Transfer students must talk to their advisor about transferring their courses

106

ENGINEERING TECHNOLOGY Engineering Technology  

E-Print Network [OSTI]

: business administration, energy management, wind farm management, automation and controls, aircraft, Mechatronics Technology, and Renewable Energy Technology. Career Opportunities Graduates of four students must talk to their advisor about transferring their courses over for WSU credit. Laboratory

107

Matrix Learning in Learning Vector Quantization  

E-Print Network [OSTI]

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

Biehl, Michael

108

Hydrogen Delivery- Current Technology  

Broader source: Energy.gov [DOE]

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

109

Investigation of critical parameters in Li-ion battery electrodes...  

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

of critical parameters in Li-ion battery electrodes 2011 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation...

110

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

SciTech Connect (OSTI)

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.

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

2014-11-01T23:59:59.000Z

111

Gerhard Fischer 1 European Conference on Lifelong Learning University of Colorado at Boulder  

E-Print Network [OSTI]

, and organizational learning. #12;Gerhard Fischer 3 European Conference on Lifelong Learning 1. IntroductionGerhard Fischer 1 European Conference on Lifelong Learning LifeLong & Design Learning Center. - Albert Einstein Making Learning a Part of Life -- Beyond the "Gift Wrapping" Approach of Technology

Fischer, Gerhard

112

Energy 101: Fuel Cell Technology  

SciTech Connect (OSTI)

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.

None

2014-03-11T23:59:59.000Z

113

Energy 101: Fuel Cell Technology  

ScienceCinema (OSTI)

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.

None

2014-06-06T23:59:59.000Z

114

assisted language learning: Topics by E-print Network  

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

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

115

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.

116

Panel 1, Hawaii Hydrogen Projects Status & Lessons Learned  

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

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

117

Draft Version of "Jacqueline Guzman, Regina Motz, Alberto Rodrigues da Silva, "Valuing Learning Objects inside a Community", Book chapter in Handbook of Research on Enterprise 2.0: Technological, Social, and Organizational Dimensions, 2012, IGI Global"  

E-Print Network [OSTI]

, and Organizational Dimensions, 2012, IGI Global" Valuing Learning Objects shared in an Online Community ABSTRACTDraft Version of "Jacqueline Guzman, Regina Motz, Alberto Rodrigues da Silva, "Valuing Learning In this chapter we analyze and discuss how the activity inside a social network impacts on the value of a Learning

da Silva, Alberto Rodrigues

118

A Roadmap to the Future of Learning  

E-Print Network [OSTI]

Federation, a partnership among industry, academia, and private foundations to stimulate research and development in learning science and technology. The Roadmap outlines a detailed research plan for developing next-generation learning environments focused on post-secondary science, math, engineering, and technology education. Developed over a three-year period with advice provided by over seventy experts from educational institutions, government, and industry, the roadmap identifies key research priorities, along with metrics and milestones for each research focus area. The panel, comprised of researchers who participated in the development of the Roadmap, will summarize the key research challenges, R&D chronology, and five and ten-year goals identified in the Roadmap. The panelists will encourage comment from the audience regarding the research priorities identified in the Roadmap and effective management strategies for building multi-disciplinary teams to undertake the research. Index Terms learning, learning technology, technologyenabled learning, roadmap

Session Tb; Kay Howell; Jan Cannon-bowers; Albert Corbett; Max Louwerse; Alfred Moye

119

Faience Technology  

E-Print Network [OSTI]

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

Nicholson, Paul

2009-01-01T23:59:59.000Z

120

A Tutorial for Reinforcement Learning Abhijit Gosavi  

E-Print Network [OSTI]

A Tutorial for Reinforcement Learning Abhijit Gosavi Department of Engineering Management and Systems Engineering Missouri University of Science and Technology 219 Engineering Management, Rolla, MO elements: (1) state of the system, (2) actions, (3) transition probabilities, (4) transition rewards, (5

Gosavi, Abhijit

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


121

Distributed Learning of Lane-Selection Strategies  

E-Print Network [OSTI]

. (1998) (Technical Report 98-2). Daimler-Benz Research & Technology Center, Palo Alto, CA. Presented by: - Population seeder - Local Learning SANE Genetic algorithm Learns neural networks Evolves the hidden neurons These neurons can be combined to form neural networks Population members (neurons) are represented

Elkan, Charles

122

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

E-Print Network [OSTI]

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

Boyer, Edmond

123

Science Learning+: Phase 1 projects Science Learning+  

E-Print Network [OSTI]

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

Rambaut, Andrew

124

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

E-Print Network [OSTI]

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

Paris-Sud XI, Universit de

2009-01-01T23:59:59.000Z

125

Active Learning in Persistent Surveillance UAV Missions  

E-Print Network [OSTI]

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 ...

Redding, Joshua

126

Pronunciation learning for automatic speech recognition  

E-Print Network [OSTI]

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

Badr, Ibrahim

2011-01-01T23:59:59.000Z

127

Mobile Learning: Using SMS in Educational Contexts Adelina Moura1  

E-Print Network [OSTI]

Mobile Learning: Using SMS in Educational Contexts Adelina Moura1 , Ana Amélia Carvalho2 University. The Short Message Service (SMS) technology is one of the most powerful mobile technologies in current usage. Most students own a mobile phone with free SMS which can be used for learning. In this paper we explain

Paris-Sud XI, Université de

128

Technology Validation Hydrogen and fuel cells are a critical  

E-Print Network [OSTI]

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

129

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

E-Print Network [OSTI]

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

Autnoma de Barcelona, Universitat

130

Innovative Mobile Technologies for Asset Tracking  

E-Print Network [OSTI]

ICEBO Session 15 - Innovative Mobile Technologies for Asset Tracking Agenda ? Learn how clients have mobilized their enterprise data to increase the consistent capture and reporting of important building information, from lease data to work... orders to space & occupancy costs. ? Top 5 lessons learned implementing a mobile solution Who We Are ? Experts in both Real Property and Facilities Management Business and Technology ? Over 250 years of combined experience that encompasses facility...

Liko, W.

2013-01-01T23:59:59.000Z

131

Mobile Learning Initiative Summary of Accomplishments July 1-October 15, 2011.  

E-Print Network [OSTI]

Mobile Learning Initiative Summary of Accomplishments July 1-October 15, 2011. (1) The report of the Task Force for Teaching, Learning and Technology, "Mobile-Learning For Boise State: A Proposal for Academic Affairs and VP for Finance and Administration in August 2011. (2) Budget for Mobile Learning

Barrash, Warren

132

Professional Development and Learning Management Come learn with us @ www.cuny.edu/training  

E-Print Network [OSTI]

Professional Development and Learning Management Come learn with us @ www.cuny.edu/training CUNY into a single column, and effectively utilize the five most common functions. June 14, 1:30 - 4:30 PM MSEXCEL headings to create easy to read reports. TECHNOLOGY MONTH! NEW!NEW! REGISTRATION: To register, go to www

Qiu, Weigang

133

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratory | National NuclearoverAcquisitionEnergy SponsorsEnergy

134

Learning by learning to communicate  

E-Print Network [OSTI]

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

Beal, Jacob Stuart Michael

2007-01-01T23:59:59.000Z

135

Learning by Learning To Communicate  

E-Print Network [OSTI]

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

Beal, Jacob

2007-08-23T23:59:59.000Z

136

Technology Assessment  

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

Roll to Roll (R2R) Processing 1 Technology Assessment 2 3 Contents 4 1. Introduction to the TechnologySystem ......

137

SCIENCE CHINA Technological Sciences  

E-Print Network [OSTI]

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

Ahmad, Sajjad

138

Technology transfer 1995  

SciTech Connect (OSTI)

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.

Not Available

1995-01-01T23:59:59.000Z

139

UME Technology Committee November 11, 2014  

E-Print Network [OSTI]

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

Finley Jr., Russell L.

140

A Method for Creating Collaborative Mobile Learning Trails Kevin Walker  

E-Print Network [OSTI]

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

Paris-Sud XI, Universit de

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


141

Tools for school| Student fluency and perception of cell phones used for learning.  

E-Print Network [OSTI]

?? Technology is changing the way society interacts, communicates, collaborates, and learns. Improved cell phone capabilities and an ever increasing amount of cell phone applications (more)

Humble-Thaden, Mary Beth

2013-01-01T23:59:59.000Z

142

E-Print Network 3.0 - amendment lessons learned Sample Search...  

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

Biology and Medicine 8 Table of Contents How did the Corps Summary: Support to Civil Works Projects Lessons Learned Innovative Technologies Emergency Management 12......

143

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

E-Print Network [OSTI]

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 ...

Shen, Shen S.M. Massachusetts Institute of Technology

2014-01-01T23:59:59.000Z

144

Project Learning What are the "Lessons Learned"  

E-Print Network [OSTI]

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

Christian, Eric

145

Learning Curve  

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

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

1997-03-28T23:59:59.000Z

146

National Wind Distance Learning Collaborative  

SciTech Connect (OSTI)

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.

Dr. James B. Beddow

2013-03-29T23:59:59.000Z

147

Support Vector Machines Issues in the classification of text documents Learning Boolean Weights Learning Real-Valued Web Search and Text Mining  

E-Print Network [OSTI]

Support Vector Machines Issues in the classification of text documents Learning Boolean Weights Vector Machines and Learning to Rank Alexander Gray Georgia Institute of Technology, College of Computing 2011 Gray: Support Vector Machines and Learning to Rank 1 / 59 #12;Support Vector Machines Issues

Gray, Alexander

148

Investigation of learning and experience curves  

SciTech Connect (OSTI)

The applicability of learning and experience curves for predicting future costs of solar technologies is assessed, and the major test case is the production economics of heliostats. Alternative methods for estimating cost reductions in systems manufacture are discussed, and procedures for using learning and experience curves to predict costs are outlined. Because adequate production data often do not exist, production histories of analogous products/processes are analyzed and learning and aggregated cost curves for these surrogates estimated. If the surrogate learning curves apply, they can be used to estimate solar technology costs. The steps involved in generating these cost estimates are given. Second-generation glass-steel and inflated-bubble heliostat design concepts, developed by MDAC and GE, respectively, are described; a costing scenario for 25,000 units/yr is detailed; surrogates for cost analysis are chosen; learning and aggregate cost curves are estimated; and aggregate cost curves for the GE and MDAC designs are estimated. However, an approach that combines a neoclassical production function with a learning-by-doing hypothesis is needed to yield a cost relation compatible with the historical learning curve and the traditional cost function of economic theory.

Krawiec, F.; Thornton, J.; Edesess, M.

1980-04-01T23:59:59.000Z

149

APS 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert SouthwestTechnologies |November 2011Astudies

150

Course info Machine Learning  

E-Print Network [OSTI]

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

Shi, Qinfeng "Javen"

151

E-Print Network 3.0 - association analysis parameters Sample...  

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

Groningen Collection: Computer Technologies and Information Sciences 25 A Parameter Reduction Based Technique For Automatic Analysis of Database Ning Jiang, Kien A. Hua...

152

Distributed Energy Technology Characterization (Desiccant Technologies...  

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

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

153

1 ACIT Meeting Notes Advisory Committee for Information Technology  

E-Print Network [OSTI]

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

California at Santa Cruz, University of

154

Technology Transfer David Basin and Thai Son Hoang  

E-Print Network [OSTI]

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

Basin, David

155

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

SciTech Connect (OSTI)

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.

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

2012-05-01T23:59:59.000Z

156

Uncertainty Propagation for Quality Assurance in Reinforcement Learning  

E-Print Network [OSTI]

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

157

A YEAR IN REVIEW Adult and Lifelong Learning  

E-Print Network [OSTI]

Ion: Adult Learning in Post-Modern times "demographics, the global economy, and technology have come together, emphasis ours). central Indiana adults are turning to IuPuI, acquiring new skills, refining existing

Zhou, Yaoqi

158

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

E-Print Network [OSTI]

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

Chang, Ruei-Ping

2013-08-12T23:59:59.000Z

159

Technology '90  

SciTech Connect (OSTI)

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.

Not Available

1991-01-01T23:59:59.000Z

160

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassiveSubmittedStatus TomAbout » Staff125,849 127,174 126,924Storage Ring Parameters

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


161

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]

and student achievement. A survey administered in September 2012 and again in December 2012 provided a measure of teacher use of formative assessments, technology use in formative assessments, and perceptions of teachers using the PLC as a mechanism...

Talkmitt, Marcia J.

2013-05-06T23:59:59.000Z

162

State Technologies Advancement Collaborative  

SciTech Connect (OSTI)

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.

David S. Terry

2012-01-30T23:59:59.000Z

163

Learning Task-Optimal Registration Cost Functions for Localizing Cytoarchitecture and Function in the Cerebral Cortex  

E-Print Network [OSTI]

Image registration is typically formulated as an optimization problem with multiple tunable, manually set parameters. We present a principled framework for learning thousands of parameters of registration cost functions, ...

Yeo, Boon Thye Thomas

164

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

E-Print Network [OSTI]

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

Colorado at Boulder, University of

165

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

E-Print Network [OSTI]

: the storage layer contains heterogeneous repositories storing domain and pedagogical knowledge; the tool level. Some implementation issues are discussed and a preliminary evaluation of the environment based on an exploitation is presented. Keywords: Technology enhanced learning, semantic technologies, service

Mustakerov, Ivan

166

The energy balancing parameter  

E-Print Network [OSTI]

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

Walton R. Gutierrez

2011-05-10T23:59:59.000Z

167

ARTIGO INTERNET 1. Lisbon Machine Learning School  

E-Print Network [OSTI]

University (CMU); Slav Petrov, da Google Inc. USA; Koby Crammer, do Israel Institute of Technology; Mário (machine learning, em inglês) tem vindo a assumir na investigação com vista à criação de soluções para o

Instituto de Sistemas e Robotica

168

DOE Lessons Learned  

Broader source: Energy.gov [DOE]

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

169

Learning Transformations From Video  

E-Print Network [OSTI]

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

Wang, Ching Ming

2010-01-01T23:59:59.000Z

170

Motion-to-Energy (M2E™) Power Generation Technology  

SciTech Connect (OSTI)

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,

Idaho National Laboratory

2008-05-30T23:59:59.000Z

171

Motion-to-Energy (M2E?) Power Generation Technology  

ScienceCinema (OSTI)

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,

Idaho National Laboratory

2010-01-08T23:59:59.000Z

172

FUEL CELL TECHNOLOGIES PROGRAM Technologies  

E-Print Network [OSTI]

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

173

Quantum Learning Machine  

E-Print Network [OSTI]

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

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

2008-03-20T23:59:59.000Z

174

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

E-Print Network [OSTI]

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

Portland State University

175

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

E-Print Network [OSTI]

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

Kovarsky, Joel

2006-09-25T23:59:59.000Z

176

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience Program Cumulus Humilis,Technologies Available Technologies

177

Protocol for secure quantum machine learning at a distant place  

E-Print Network [OSTI]

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

Jeongho Bang; Seung-Woo Lee; Hyunseok Jeong

2015-04-20T23:59:59.000Z

178

A&T Engineering, P.C. A4S Technologies, Inc.  

E-Print Network [OSTI]

Technology Inc. Civitas Learning Clark Construction Group, California LP Clean Water Action CodeForce 3603D Labs 3D Labs A&T Engineering, P.C. A4S Technologies, Inc. Abound Solar Inc. Accountemps ACIT. Advanced Micro Devices Inc. Advanced Technology Network, Inc Advanced Video Technology Corp. AECOM Aegis

Barnes, Elizabeth A.

179

LUNAR SOIL SIMULATION TRAFFICABILITY PARAMETERS  

E-Print Network [OSTI]

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

Rathbun, Julie A.

180

PAVEMENT TECHNOLOGY UPDATE This Technology Transfer Program  

E-Print Network [OSTI]

PAVEMENT TECHNOLOGY UPDATE This Technology Transfer Program publication is funded by the Division to them in California. TECHNOLOGY TRANSFER PROGRAM MAY 2011, VOL. 3, NO. 1 California's Transition

California at Berkeley, University of

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


181

Lessons Learned | Department of Energy  

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

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

182

Subsurface Geotechnical Parameters Report  

SciTech Connect (OSTI)

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

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

2003-12-17T23:59:59.000Z

184

Emerging energy-efficient technologies for industry  

SciTech Connect (OSTI)

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

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

2001-03-20T23:59:59.000Z

185

Technology and social communication  

SciTech Connect (OSTI)

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

Moore, G.A.

1996-12-31T23:59:59.000Z

186

Science and Technology Facility  

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

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

187

Idaho Science, Technology, Engineering and Mathematics Overview  

ScienceCinema (OSTI)

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.

None

2013-05-28T23:59:59.000Z

188

Idaho Science, Technology, Engineering and Mathematics Overview  

SciTech Connect (OSTI)

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.

None

2011-01-01T23:59:59.000Z

189

A ROADMAP FOR TECHNOLOGY ENHANCED PROFESSIONAL  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

190

Massachusetts Institute of Technology ChangingPlaces  

E-Print Network [OSTI]

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

191

InformationTechnologies& BusinessandManagement  

E-Print Network [OSTI]

interactive planning Learn to transition your management style from rigid frameworks and plans to a cultureInformationTechnologies& BusinessandManagement extension.uci.edu/agile Agile Project Management standard of excellence. Agile Project Management Certificate Program Annual employer demand for individuals

Barrett, Jeffrey A.

192

Manufacturing technology  

SciTech Connect (OSTI)

The specific goals of the Manufacturing Technology thrust area are to develop an understanding of fundamental fabrication processes, to construct general purpose process models that will have wide applicability, to document our findings and models in journals, to transfer technology to LLNL programs, industry, and colleagues, and to develop continuing relationships with industrial and academic communities to advance our collective understanding of fabrication processes. Advances in four projects are described here, namely Design of a Precision Saw for Manufacturing, Deposition of Boron Nitride Films via PVD, Manufacturing and Coating by Kinetic Energy Metallization, and Magnet Design and Application.

Blaedel, K.L.

1997-02-01T23:59:59.000Z

193

Workplace Learning & Development UMass Amherst  

E-Print Network [OSTI]

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

Mountziaris, T. J.

194

Project Learning I. What are the "Lessons Learned"  

E-Print Network [OSTI]

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

Christian, Eric

195

Lessons learned from early criticality accidents  

SciTech Connect (OSTI)

Four accidents involving the approach to criticality occurred during the period July, 1945, through May, 1996. These have been described in the format of the OPERATING EXPERIENCE WEEKLY SUMMARY which is distributed by the Office of Nuclear and Facility Safety. Although the lessons learned have been incorporated in standards, codes, and formal procedures during the last fifty years, this is their first presentation in this format. It is particularly appropriate that they be presented in the forum of the Nuclear Criticality Technology Safety Project Workshop closest to the fiftieth anniversary of the last of the four accidents, and that which was most instrumental in demonstrating the need to incorporate lessons learned.

Malenfant, R.E.

1996-06-01T23:59:59.000Z

196

FEMP/NTDP Technology Focus New Technology  

E-Print Network [OSTI]

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

197

Specific Learning Difficulties  

E-Print Network [OSTI]

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

Anderson, Jim

198

What is Continual Learning?  

Broader source: Energy.gov [DOE]

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

199

Learning From Snapshot Examples  

E-Print Network [OSTI]

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

Beal, Jacob

2005-04-13T23:59:59.000Z

200

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

E-Print Network [OSTI]

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

Sengupta, Souvik; Banerjee, Nilanjan

2012-01-01T23:59:59.000Z

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


201

Machine LearningMachine Learning Stephen Scott  

E-Print Network [OSTI]

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

Scott, Stephen D.

202

Robot Learning Learning Models for Control  

E-Print Network [OSTI]

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

203

(Environmental technology)  

SciTech Connect (OSTI)

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

Boston, H.L.

1990-10-12T23:59:59.000Z

204

Manufacturing technologies  

SciTech Connect (OSTI)

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.

NONE

1995-09-01T23:59:59.000Z

205

Vacuum Technology  

SciTech Connect (OSTI)

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.

Biltoft, P J

2004-10-15T23:59:59.000Z

206

AGU, December 2004 Information Technology in Science (ITS)  

E-Print Network [OSTI]

technology Integration of assessment Educators as researcher Issues in Science Education ITS Project Teams of the science project team activities impact the qualityHow does the nature of the science project team1 AGU, December 2004 Information Technology in Science (ITS) Center for Teaching and Learning

Herbert, Bruce

207

Digital Technology For Conviviality 37 The Education Intervention  

E-Print Network [OSTI]

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

208

SUNY Programs: Experiential Learning  

E-Print Network [OSTI]

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

Suzuki, Masatsugu

209

Learning and risk aversion  

E-Print Network [OSTI]

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

Oyarzun, Carlos

2009-06-02T23:59:59.000Z

210

Effect of mechanical parameters on dielectric elastomer minimum energy structures  

E-Print Network [OSTI]

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

Floreano, Dario

211

Optimizing Nested Queries with Parameter Sort Orders Ravindra Guravannavar  

E-Print Network [OSTI]

Optimizing Nested Queries with Parameter Sort Orders Ravindra Guravannavar Ramanujam H.s@sybase.com Indian Institute of Technology Bombay sudarsha@cse.iitb.ac.in Abstract Nested iteration is an important technique for query evaluation. It is the default way of execut- ing nested subqueries in SQL. Although

Sudarshan, S.

212

OGEP 2010-161 Uncertainly Analysis of Archie's Parameters Determination  

E-Print Network [OSTI]

University, Yemen This paper was prepared for presentation at the 2nd Saudi Meeting on Oil and Natural Gas Exploration and Production Technologies (OGEP 2010) held at the King Fahd University of Petroleum & Minerals of hydrocarbon saturation is the vital parameter in oil reserve calculation processes. Archie's formula

Al-Majed, Abdulaziz Abdullah

213

Venus Technology Plan Venus Technology Plan  

E-Print Network [OSTI]

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

Rathbun, Julie A.

214

Learners' Quanta based Design of a Learning Management System  

E-Print Network [OSTI]

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

Sengupta, Souvik; Dasgupta, Ranjan

2012-01-01T23:59:59.000Z

215

Statistical Learning Theory of Protein Dynamics  

E-Print Network [OSTI]

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

Haas, Kevin

2013-01-01T23:59:59.000Z

216

A Cognitive Approach to Student-Centered e-Learning  

SciTech Connect (OSTI)

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.

Greitzer, Frank L.

2002-09-30T23:59:59.000Z

217

Technology and the Box  

E-Print Network [OSTI]

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

Maitland, Padma

2013-01-01T23:59:59.000Z

218

Hydrogen Technologies Group  

SciTech Connect (OSTI)

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

Not Available

2008-03-01T23:59:59.000Z

219

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.

220

Vehicle Technologies Office: 2009 Advanced Vehicle Technology...  

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

Vehicle Technology Analysis and Evaluation Activities and Heavy Vehicle Systems Optimization Program Annual Progress Report Vehicle Technologies Office: 2009 Advanced Vehicle...

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


221

Vehicle Technologies Office: 2008 Advanced Vehicle Technology...  

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

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

222

Dezincing Technology  

SciTech Connect (OSTI)

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

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

1997-08-01T23:59:59.000Z

223

Strategy for quantum algorithm design assisted by machine learning  

E-Print Network [OSTI]

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.

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

2014-07-17T23:59:59.000Z

224

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

E-Print Network [OSTI]

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

225

Northwest Regional Technology Center  

E-Print Network [OSTI]

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

226

CSIR TECHNOLOGY AWARDS -2013  

E-Print Network [OSTI]

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

Jayaram, Bhyravabotla

227

Distance-learning receptivity differences between American and Korean graduate students  

E-Print Network [OSTI]

The purposes of this study were to determine if differences exist in distance-learning receptivity and perceived technology usefulness between American and Korean graduate students as well as Individualists and Collectivists. Results indicated...

Kim, Jung Il

2005-08-29T23:59:59.000Z

228

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

E-Print Network [OSTI]

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

Walter, M.Todd

229

INL Technology Transfer  

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

Technology Transfer Through collaboration with industry partners, INL's Technology Deployment office makes available to American agencies and international organizations unique...

230

Designing for Learning: Multiplayer Digital Game Learning Environments  

E-Print Network [OSTI]

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

Kim, Chung

2010-01-01T23:59:59.000Z

231

PAVEMENT TECHNOLOGY UPDATE This Technology Transfer Program  

E-Print Network [OSTI]

PAVEMENT TECHNOLOGY UPDATE This Technology Transfer Program publication is funded by the Division of asphalt pavements. TECHNOLOGY TRANSFER PROGRAM JULY 2010, VOL. 2, NO. 1 Warm Mix Asphalt Hits the Road, and California LTAP Field Engineer, Technology Transfer Program, Institute of Transportation Studies, UC Berkeley

California at Berkeley, University of

232

PAVEMENT TECHNOLOGY UPDATE This Technology Transfer Program  

E-Print Network [OSTI]

PAVEMENT TECHNOLOGY UPDATE This Technology Transfer Program publication is funded by the Division solve the very serious problem of waste tire disposal. TECHNOLOGY TRANSFER PROGRAM SEPTEMBER 2009, VOL, University of California Pavement Research Center, and California LTAP Field Engineer, Technology Transfer

California at Berkeley, University of

233

Handling Ambiguity via Input-Output Kernel Learning Xinxing Xu Ivor W. Tsang Dong Xu  

E-Print Network [OSTI]

of Computer Engineering, Nanyang Technological University, Singapore xuxi0006@ntu.edu.sg IvorTsang@ntu.edu.sg dongxu@ntu.edu.sg Abstract--Data ambiguities exist in many data mining and machine learning applications the effectiveness of our proposed IOKL framework. Keywords-Group Multiple Kernel Learning; Input-Output Kernel

Tsang Wai Hung "Ivor"

234

Version 1.0 -6/14/04 PLA: Participatory Learning Approach  

E-Print Network [OSTI]

Version 1.0 - 6/14/04 PLA: Participatory Learning Approach Jia Shen**, Dezhi Wu**, Vikas Achhpiliya -- College of Computing Sciences New Jersey Institute of Technology http://is.njit.edu/pla/ The Participatory Learning Approach (PLA, pronounced "play") engages students as active participants in the full life cycle

Bieber, Michael

235

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

E-Print Network [OSTI]

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

Barrett, Jeffrey A.

236

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.

237

Embedding Learning Strategies into the Curriculum  

E-Print Network [OSTI]

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

Northern British Columbia, University of

238

Treat Teaching as Learned Profession  

E-Print Network [OSTI]

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

Helen Duffy

2004-01-01T23:59:59.000Z

239

Real-World Hydrogen Technology Validation: Preprint  

SciTech Connect (OSTI)

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.

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

2012-03-01T23:59:59.000Z

240

Cycle Track Lessons Learned  

E-Print Network [OSTI]

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

Bertini, Robert L.

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


241

The Learning Environment  

E-Print Network [OSTI]

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

Howard, Jeff W.

2005-05-10T23:59:59.000Z

242

Residential Learning University Housing  

E-Print Network [OSTI]

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

Rusu, Adrian

243

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

E-Print Network [OSTI]

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

Lake, Brenden M

2014-01-01T23:59:59.000Z

244

5, 95145, 2008 Soil parameter  

E-Print Network [OSTI]

tools to sim- ulate mass and energy fluxes within the soil vegetation atmosphere continuum for nu, linking the water and energy fluxes at the land surface. An appropriate parameterisation of soil hydraulicHESSD 5, 95­145, 2008 Soil parameter inversion ­ potential and limits A. Loew and W. Mauser Title

Paris-Sud XI, Université de

245

Energy and technology lessons since Rio  

SciTech Connect (OSTI)

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

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

2012-11-01T23:59:59.000Z

246

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

E-Print Network [OSTI]

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

Stroud, Jonathan

247

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

E-Print Network [OSTI]

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

Sato, Taisuke

248

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

E-Print Network [OSTI]

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

Oxford, University of

249

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

E-Print Network [OSTI]

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

Nasser, Hassan

2014-01-01T23:59:59.000Z

250

Can doxastic agents learn? On the temporal structure of learning  

E-Print Network [OSTI]

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

Amsterdam, University of

251

e-Learning Seoul National University e-Teaching & Learning  

E-Print Network [OSTI]

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

Bahk, Saewoong

252

A Collaborative Learning Design Environment to Integrate Practice and Learning  

E-Print Network [OSTI]

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

Mizoguchi, Riichiro

253

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

E-Print Network [OSTI]

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

New Hampshire, University of

254

Case{based Meta Learning: Sustained Learning supported by  

E-Print Network [OSTI]

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

Baltes, Jacky

255

Practical matters for defense contractors converting DoD technology to commercial markets  

E-Print Network [OSTI]

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 ...

Ting, Carina Maria

2012-01-01T23:59:59.000Z

256

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

E-Print Network [OSTI]

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 ...

Bergeron, Bryan

257

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

E-Print Network [OSTI]

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

Fleming, Kathleen Literski

2007-04-25T23:59:59.000Z

258

MSc in Environmental Health The Place of Useful Learning  

E-Print Network [OSTI]

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

Mottram, Nigel

259

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

E-Print Network [OSTI]

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

Roweis, Sam

260

Interactive learning: Lessons from two hybrids over two Stanley Fields  

E-Print Network [OSTI]

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

Dunham, Maitreya

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


261

PATHWAY PARAMETER AND THERMONUCLEAR FUNCTIONS  

E-Print Network [OSTI]

Abstract. In the theory of thermonuclear reaction rates, analytical evaluation of thermonuclear functions for non-resonant reactions, including cases with cut-off and depletion of the tail of the Maxwell-Boltzmann distribution function were considered in a series of papers by Mathai and Haubold (1988). In the present paper we study more general classes of thermonuclear functions by introducing a pathway parameter ?, so that when ? ? 1 the thermonuclear functions in the Maxwell-Boltzmannian case are recovered. We will also give interpretations for the pathway parameter ? in the case of cut-off and in terms of moments. 1. Thermonuclear Functions The standard thermonuclear function in the Maxwell-Boltzmann case in the theory of nuclear reactions, is given by the following (Critchfield, 1972; Haubold and Mathai, 1985; Mathai and

H. J. Haubold

262

Plasma technology directory  

SciTech Connect (OSTI)

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.

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

1995-03-01T23:59:59.000Z

263

Time series association learning  

DOE Patents [OSTI]

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

Papcun, George J. (Santa Fe, NM)

1995-01-01T23:59:59.000Z

264

Environmental labelling of green electricity with LCA key parameter models  

E-Print Network [OSTI]

Since the opening of European electricity markets, companies are launching green electricity products. In Switzerland the privately initiated eco-label naturemade star ensures the environmental and ecological quality of electricity from renewable energy sources on a local scale and from a life cycle perspective. For the life cycle perspective, a simplified and partly site-specific life cycle assessment (LCA) is applied using the Eco-indicator 99 (Hierachist perspective) impact assessment method. In a first step, detailed LCAs case studies are made for power plants and technologies that are candidates for the naturemade star label. They allow identifying technology-specific parameters that dominate the outcome of the LCA and for which data are available for the owner or operator of the power plant at issue. Based on this knowledge, key parameter models for photovoltaic, wind and hydroelectric power and electricity from biogas have been established on a spreadsheet-basis. With the help of the parameter models, operators of power plants can carry out the required LCA within a few hours. At the same time, they can check whether the plant fulfils the naturemade star threshold or not, which has been set to 50 % of the environmental impact of a gas combined cycle power plant. Within a few months since the introduction of the labelling scheme, companies successfully applied the parameter models on nearly 50 photovoltaic and on several hydroelectric power plants. LCA is, in combination with other tools, a useful method for the definition of standards for environmental labelling of green electricity.

unknown authors

265

Study of parameters affecting enhanced coal bed methane  

SciTech Connect (OSTI)

Laboratory and field scale trials conducted so far indicate that injection of CO{sub 2} and N{sub 2} into deep coalbeds has the potential to enhance coalbed methane (ECBM) recovery while simultaneously sequestering CO{sub 2}. The work has identified that the fundamental processes involved in CO{sub 2} sequestration/CBM recovery in deep coalbeds are not fully understood and further research is needed to advance this technology. ECBM is affected by several parameters; prominent among them are coal characteristics, in-situ conditions prevailing in deep coalbeds, and changes arising from the interaction of coal with various fluids. These parameters do not act independently, thereby making it difficult to isolate their impacts separately. An attempt has been made in this article to classify these parameters and understand their role in ECBM. Past work in this area is reviewed and the future work that is critical for an improved understanding of ECBM recovery is discussed.

Katyal, S.; Valix, M.; Thambimuthu, K. [University of Sydney, Sydney, NSW (Australia). Dept. of Chemical Engineering

2007-02-15T23:59:59.000Z

266

Fujita LaboratoryTokyo Instituteof Technology Tokyo Instituteof Technology  

E-Print Network [OSTI]

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

267

Northwestern University Information Technology  

E-Print Network [OSTI]

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

Shull, Kenneth R.

268

The Knowledge Gradient for Optimal Learning Warren B. Powell  

E-Print Network [OSTI]

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

Powell, Warren B.

269

Robot learning [TC Spotlight  

E-Print Network [OSTI]

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

Tedrake, Russell Louis

270

Experiments in service learning  

E-Print Network [OSTI]

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

Banzaert, Amy, 1976-

2006-01-01T23:59:59.000Z

271

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...

272

Vehicle Technologies Office Merit Review 2014: Carbon Fiber Technology...  

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

Vehicle Technologies Office Merit Review 2014: Carbon Fiber Technology Facility Vehicle Technologies Office Merit Review 2014: Carbon Fiber Technology Facility Presentation given...

273

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

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

Technology Readiness Assessment (TRA)Technology Maturation Plan (TMP) Process Guide Technology Readiness Assessment (TRA)Technology Maturation Plan (TMP) Process Guide This...

274

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

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

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

275

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

Energy Savers [EERE]

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

276

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

Energy Savers [EERE]

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

277

Observational learning in horses  

E-Print Network [OSTI]

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

Baer, Katherine Louise

1979-01-01T23:59:59.000Z

278

States & Emerging Energy Technologies  

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

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

279

Hydropower Program Technology Overview  

SciTech Connect (OSTI)

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.

Not Available

2001-10-01T23:59:59.000Z

280

Technology Zones (Virginia)  

Broader source: Energy.gov [DOE]

Virginias 26 designated Technology Zones offer tax relief in the form of abatements, credits, deductions, deferrals, exemptions, or rebates. Local governments may designate technology zones to...

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


281

Technology Transfer Reports  

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

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

282

Green Purchasing & Green Technology  

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

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

283

Technology To Realize  

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

in Technology To Realize Fusion Energy in the International Context Kathryn A. McCarthy Deputy Associate Laboratory Director Nuclear Science & Technology Idaho National Laboratory...

284

TECHNOLOGY READINESS ASSESSMENT  

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

DECEMBER 2012 Pathway for readying the next generation of affordable clean energy technology -Carbon Capture, Utilization, and Storage (CCUS) 2012 TECHNOLOGY READINESS ASSESSMENT...

285

Technology Integration Overview  

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

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

286

Integrated Technology Deployment  

Office of Energy Efficiency and Renewable Energy (EERE)

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

287

Fuel & Lubricant Technologies  

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

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

288

Technology Partnering Mechanisms  

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

expand a business with INL technologies, or require business support our Technology Transfer team is available to discuss the following contractual mechanisms: Cooperative...

289

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...

290

Learning Innate Face Preferences  

E-Print Network [OSTI]

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

2003-01-01T23:59:59.000Z

291

Sharing Lessons Learned  

SciTech Connect (OSTI)

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

Mohler, Bryan L.

2004-09-01T23:59:59.000Z

292

Developmentally Appropriate Learning: Implications for Early Childhood Technology Education,  

E-Print Network [OSTI]

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

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

293

Energy Systems Technology - A Development in Experiential Learning  

E-Print Network [OSTI]

outside I make a smooth transition away from the Hamilton but Mohawk is the only college in fossil fuels on which we have become so Ontario, or in Canada, to offer this pro dependent. The theme of this conference is gram. conservation through energy... and shorter certificate programs. of the Steel Company of Canada and Dominion These colleges, unlike many in other parts Foundries and Steel, the two largest pro of Canada and in the United States, do not ducers of steel in Canada. Firestone, function...

Tumber, A. J.

1980-01-01T23:59:59.000Z

294

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

295

The Role of Technology in Improving Student Learning of Statistics  

E-Print Network [OSTI]

Voorburg, The Netherland: International Statistical1-14). Voorburg, The Netherland: International Statistical

Chance, Beth; Ben-Zvi, Dani; Garfield, Joan; Medina, Elsa

2007-01-01T23:59:59.000Z

296

Learning Curves For Energy Technology: A Critical Assessment  

E-Print Network [OSTI]

.65% 3.3% 5 Large hydro 1.96% 2.9% 6 Combined heat and power 0.23% 2.1% 7 Small 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...

Jamasb, Tooraj; Kohler, Jonathan

297

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the Contributions and Achievements ofLizResults InterpretingBiofuelsNational Wind

298

Morgantown Energy Technology Center, technology summary  

SciTech Connect (OSTI)

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.

Not Available

1994-06-01T23:59:59.000Z

299

Alternative technologies to steam-methane reforming  

SciTech Connect (OSTI)

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

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

1995-11-01T23:59:59.000Z

300

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

E-Print Network [OSTI]

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

Seokwon Yoo; Jeongho Bang; Changhyoup Lee; Jinhyoung Lee

2014-10-14T23:59:59.000Z

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


301

9Tomorrow's Technology Transfer Volume 1, Number 1 WiNter 2009 small U.S. businesses would have certainty  

E-Print Network [OSTI]

9Tomorrow's Technology Transfer Volume 1, Number 1 WiNter 2009 small U.S. businesses would have of technology transfer. Interest expanded until, in 2006, AUTM's Licensing SurveyTM identified tech- nology "Communicating the Full Value of Aca- demic Technology Transfer: Some Lessons Learned," originally published

McQuade, D. Tyler

302

How Selective is Social Learning in Dolphins?  

E-Print Network [OSTI]

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

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

2012-01-01T23:59:59.000Z

303

LESSONS LEARNED AND BEST PRACTICES PROGRAM MANUAL  

E-Print Network [OSTI]

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

Gravois, Melanie C.

2007-01-01T23:59:59.000Z

304

Technology Deployment List | Department of Energy  

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

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

305

NREL: Learning About Renewable Energy Home Page  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest Regionat Cornell Batteries & FuelTechnologies The InsightsLearning

306

High Efficiency Engine Technologies Program  

SciTech Connect (OSTI)

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.

Rich Kruiswyk

2010-07-13T23:59:59.000Z

307

Measuring neutrino oscillation parameters using $\  

SciTech Connect (OSTI)

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

Backhouse, Christopher James; /Oxford U.

2011-02-01T23:59:59.000Z

308

The Impact of Uncertain Physical Parameters on HVAC Demand Response  

SciTech Connect (OSTI)

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.

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

2014-03-01T23:59:59.000Z

309

General com Technology community  

E-Print Network [OSTI]

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

Ferrara, Katherine W.

310

The Technology & Innovation Centre  

E-Print Network [OSTI]

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

Mottram, Nigel

311

Department of Information Technology  

E-Print Network [OSTI]

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

Flener, Pierre

312

Predictive Maintenance Technologies  

Broader source: Energy.gov [DOE]

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

313

THE IMPOSSIBLE Pohang University of Science and Technology  

E-Print Network [OSTI]

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

Kim, Jae-Hoon

314

How Humanities Students Cope with the Technology of Virtual Harlem  

E-Print Network [OSTI]

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

Johnson, Andrew

315

ResearchMICHIGAN TECHNOLOGICAL UNIVERSITY > 2012 The comeback ooze  

E-Print Network [OSTI]

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

316

InformationTechnologies extension.uci.edu/pa  

E-Print Network [OSTI]

to learn on your own time, in your own way. A certificate bearing the UC seal signifies a well understanding of the creation and utilization of predictive analytics models by defining business goals-commerce, entertainment, government, healthcare, high technology, insurance, and non-profits. The predictive analytics

Barrett, Jeffrey A.

317

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.

318

ANTS: a new Collaborative Learning Framework  

E-Print Network [OSTI]

CSCW and MOO environments have played an important role in CSCL research. These multi-user community-ware frameworks enhance social interactions and shared experience and thus enabling new CSCL research. We however find some limitations in existing platforms: technology limitations and a lack of solid collaborative services. We present ANTS: a collaborative framework that aims to provide a solid foundation for CSCL applications. In one side, the framework is constructed on top of cutting-edge technologies like J2EE (EJB, JSP, Servlets), Notification services (Elvin, JMS) and XML. In the other side, ANTS provides solid CSCW services that make the system robust and extensible. We also present a concrete ANTS extension: JLE, a collaborative learning environment including services like course management, assessment management, collaboration, progress tracking and tutorware.

Pedro Garca Lopez; Robert Rallo Moya; Merce Gisbert; Antonio Gmez Skarmeta

319

Semi-Supervised Learning Adaptive Computation and Machine Learning  

E-Print Network [OSTI]

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

Lafferty, John

320

Pretreatment Technology Plan  

SciTech Connect (OSTI)

This technology plan presents a strategy for the identification, evaluation, and development of technologies for the pretreatment of radioactive wastes stored in underground storage tanks at the Hanford Site. This strategy includes deployment of facilities and process development schedules to support the other program elements. This document also presents schedule information for alternative pretreatment systems: (1) the reference pretreatment technology development system, (2) an enhanced pretreatment technology development system, and (3) alternative pretreatment technology development systems.

Barker, S.A. [Westinghouse Hanford Co., Richland, WA (US); Thornhill, C.K.; Holton, L.K. Jr. [Pacific Northwest Lab., Richland, WA (US)

1993-03-01T23:59:59.000Z

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


321

NATIONAL ENERGY TECHNOLOGY LABORATORY Technology Transfer Novel...  

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

Alloy for the Manufacture of Improved Coronary Stents Success Story NETL Technology Transfer Group techtransfer@netl.doe.gov Contact Partners A coronary stent is a small,...

322

NATIONAL ENERGY TECHNOLOGY LABORATORY Technology Transfer Basic...  

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

Basic Immobilized Amine Sorbent (BIAS) Process Success Story NETL Technology Transfer Group techtransfer@netl.doe.gov Contact Capturing carbon dioxide (CO 2 ) from the flue or...

323

System and method for motor parameter estimation  

DOE Patents [OSTI]

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.

Luhrs, Bin; Yan, Ting

2014-03-18T23:59:59.000Z

324

STRUCTURAL CHANGE AND LEARNING WITHIN ORGANIZATIONS  

E-Print Network [OSTI]

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

Sadeh, Norman M.

325

National Fuel Cell Electric Vehicle Learning Demonstration Final Report  

SciTech Connect (OSTI)

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

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

2012-07-01T23:59:59.000Z

326

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

E-Print Network [OSTI]

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

New Hampshire, University of

327

: Abduction, Learning. A System for Learning Abductive Logic  

E-Print Network [OSTI]

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

Dix, Juergen

328

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

E-Print Network [OSTI]

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

Colorado at Boulder, University of

329

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

E-Print Network [OSTI]

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

Sheridan, Scott

330

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

E-Print Network [OSTI]

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

331

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

E-Print Network [OSTI]

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

Cai, Long

332

Rev. 2/15/13 Instructional Technology Services ITS Food and Drink Policy  

E-Print Network [OSTI]

Rev. 2/15/13­ Instructional Technology Services ITS Food and Drink Policy OIT Computer Classrooms, Library 1st floor Learning Ground, BHB 225/6 IDSC). ITS (Instructional Technology Services) facilitates not have the time or ability to clean food/drink spills in computer classrooms or labs while also

Daescu, Dacian N.

333

The Alameda Corridor: Lessons Learned  

E-Print Network [OSTI]

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

Bertini, Robert L.

334

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

E-Print Network [OSTI]

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

McCall, Cynthia Ann

1979-01-01T23:59:59.000Z

335

SHARED TECHNOLOGY TRANSFER PROGRAM  

SciTech Connect (OSTI)

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.

GRIFFIN, JOHN M. HAUT, RICHARD C.

2008-03-07T23:59:59.000Z

336

Hybrid Machine Learning Princeton University  

E-Print Network [OSTI]

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

Mohri, Mehryar

337

Parameters Identification for Motorcycle Simulator's Platform Characterization  

E-Print Network [OSTI]

Parameters Identification for Motorcycle Simulator's Platform Characterization L. Nehaoua H modeling and parameters identification of a motorcycle simulator's platform. This model begins with some (cars and motorcycles) is possible by taking in care some characteristics of land vehicles. Indeed

Paris-Sud XI, Université de

338

Planet Parameters in Microlensing Events  

E-Print Network [OSTI]

A planetary microlensing event occurs when a planet perturbs one of the two images created in a point-mass microlensing event, causing a deviation from the standard Paczy\\'nski curve. Determination of the two physical parameters that can be extracted from a planetary microlensing event, the planet/star mass ratio q, and the planet/star separation in units of the stellar Einstein ring, $y_p$, is hampered by several types of degeneracies. There are two distinct and qualitatively different classes of planetary events: major and minor image perturbations. For major image perturbations, there is a potentially crippling continuous degeneracy in q which is of order $\\delta_d^{-1}$, where $\\delta_d$ is the maximum fractional deviation of the planetary perturbation. Since the threshold of detection is expected to be $\\delta_d \\sim 5%$, this degeneracy in q can be a factor of $\\sim 20$. For minor image perturbations, the continuous degeneracy in q is considerably less severe, and is typically less than a factor 4. We show that these degeneracies can be resolved by observations from dedicated telescopes on several continents together with optical/infrared photometry from one of these sites. There also exists a class of discrete degeneracies. These are typically easy to resolve given good temporal coverage of the planetary event. Unambiguous interpretation of planetary microlensing events requires the resolution of both types of degeneracy. We describe the degeneracies in detail and specify the situations in which they are problematic. We also describe how individual planet masses and physical projected separations can be measured.

B. Scott Gaudi; Andrew Gould

1996-10-16T23:59:59.000Z

339

Automated Tuning of Optimization Software Parameters  

E-Print Network [OSTI]

Automated Tuning of Optimization Software Parameters. University of Pittsburgh Department of Industrial Engineering. Technical Report 2007-7. Mustafa Baz...

2007-10-29T23:59:59.000Z

340

Bayesian learning in bioinformatics  

E-Print Network [OSTI]

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

Gold, David L.

2009-05-15T23:59:59.000Z

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


341

Software Carpentry: Lessons Learned  

E-Print Network [OSTI]

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

Greg Wilson

2014-01-29T23:59:59.000Z

342

Software Carpentry: Lessons Learned  

E-Print Network [OSTI]

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

Wilson, Greg

2013-01-01T23:59:59.000Z

343

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

E-Print Network [OSTI]

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

Johnson Jr.,, Ray

344

Free Parameters and Frameworks in Minimal Supersymmetry  

E-Print Network [OSTI]

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

California at Berkeley, University of

345

Free Parameters and Frameworks in Minimal Supersymmetry  

E-Print Network [OSTI]

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

California at Berkeley, University of

346

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

E-Print Network [OSTI]

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 ...

Gomez-Marquez, Jose

347

Likelihood transform: making optimization and parameter estimation easier  

E-Print Network [OSTI]

Parameterized optimization and parameter estimation is of great importance in almost every branch of modern science, technology and engineering. A practical issue in the problem is that when the parameter space is large and the available data is noisy, the geometry of the likelihood surface in the parameter space will be complicated. This makes searching and optimization algorithms computationally expensive, sometimes even beyond reach. In this paper, we define a likelihood transform which can make the structure of the likelihood surface much simpler, hence reducing the intrinsic complexity and easing optimization significantly. We demonstrate the properties of likelihood transform by apply it to a simplified gravitational wave chirp signal search. For the signal with an signal-to-noise ratio 20, likelihood transform has made a deterministic template-based search possible for the first time, which turns out to be 1000 times more efficient than an exhaustive grid- based search. The method in principle can be applied to other problems in other fields as the spirit of parameterized optimization and parameter estimation problem is the same.

Yan Wang

2014-02-25T23:59:59.000Z

348

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

SciTech Connect (OSTI)

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

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

2004-01-15T23:59:59.000Z

349

Materials Science and Technology Teachers Handbook  

SciTech Connect (OSTI)

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.

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

2008-09-04T23:59:59.000Z

350

Technology Readiness Assessment Guide  

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

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

2011-09-15T23:59:59.000Z

351

UNIVERSITY of STRATHCLYDE TECHNOLOGY &  

E-Print Network [OSTI]

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

Mottram, Nigel

352

Diversity and Technological Progress  

E-Print Network [OSTI]

This paper proposes a tractable model to study the equilibrium diversity of technological progress and shows that equilibrium technological progress may exhibit too little diversity (too much conformity), in particular ...

Acemoglu, Daron

2011-12-15T23:59:59.000Z

353

Pinch Technology Without Tears  

E-Print Network [OSTI]

In the mid-eighties engineers were rushing to hear about Pinch Technology. Conference rooms were full. Training courses were over-subscribed. Here was the technology that was going to provide the standard design tool for the energy management...

Polley, G. T.

354

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

SciTech Connect (OSTI)

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

Lippmann, M.J.; Antunez, E.

1996-01-01T23:59:59.000Z

355

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

SciTech Connect (OSTI)

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

Lippmann, Marcelo J.; Antunez, Emilio u.

1996-01-24T23:59:59.000Z

356

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

357

Deployment of Emerging Technologies  

Broader source: Energy.gov [DOE]

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

358

Carbon Fiber Technology Facility  

Broader source: Energy.gov [DOE]

2011 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation

359

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

360

States & Emerging Energy Technologies  

Broader source: Energy.gov [DOE]

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

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


361

Geothermal drilling technology update  

SciTech Connect (OSTI)

Sandia National Laboratories conducts a comprehensive geothermal drilling research program for the US Department of Energy, Office of Geothermal Technologies. The program currently includes seven areas: lost circulation technology, hard-rock drill bit technology, high-temperature instrumentation, wireless data telemetry, slimhole drilling technology, Geothermal Drilling Organization (GDO) projects, and drilling systems studies. This paper describes the current status of the projects under way in each of these program areas.

Glowka, D.A.

1997-04-01T23:59:59.000Z

362

Upgrading through Preprocessing Technologies  

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

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

363

Does Doctrine Drive Technology or Does Technology Drive Doctrine?  

E-Print Network [OSTI]

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

Blasko, Dennis

2010-01-01T23:59:59.000Z

364

Vehicle Technologies Office Merit Review 2014: Advanced Technology...  

Energy Savers [EERE]

Advanced Technology Vehicle Lab Benchmarking - Level 1 Vehicle Technologies Office Merit Review 2014: Advanced Technology Vehicle Lab Benchmarking - Level 1 Presentation given by...

365

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

Energy Savers [EERE]

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...

366

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

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

8.pdf More Documents & Publications DOE Vehicle Technologies Program 2009 Merit Review Report - Technology Validation 2008 Annual Merit Review Results Summary - 16. Technology...

367

Vehicle Technologies Office Merit Review 2014: Technology and...  

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

Technology and System Level Demonstration of Highly Efficient and Clean, Diesel Powered Class 8 Trucks Vehicle Technologies Office Merit Review 2014: Technology and System Level...

368

Science, technology and innovation  

E-Print Network [OSTI]

Science, technology and innovation Taught degrees MSc in Innovation and Sustainability technologies on individuals and their environment is highly dependent on the choices made by policy makers that science and technology policy choices for sustainable growth and well-being in developing countries need

Sussex, University of

369

University Libraries Technology Plan  

E-Print Network [OSTI]

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

Moore, Paul A.

370

New Technology Demonstration Program  

E-Print Network [OSTI]

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

371

Technology Forecasting Scenario Development  

E-Print Network [OSTI]

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

372

Department of Energy Technology  

E-Print Network [OSTI]

Reservoir Models 42 #12;Page 2.21. Energy Storage 43 2.22. Focusing Solar Collector 43 2.23. Digitizing technology towa^ls energy technology problems in general, at Risø and in the Depart- ment, was made manifestRisa-R-482 Department of Energy Technology Annual Progress Report 1 January - 31 December 1982 Ris

373

Federal Laboratory Technology Transfer  

E-Print Network [OSTI]

Federal Laboratory Technology Transfer Fiscal Year 2007 Prepared by: National Institute to present to the President and the Congress this Federal Laboratory Technology Transfer Report summarizing the achievements of Federal technology transfer and partnering programs of the Federal research and development

Perkins, Richard A.

374

Federal Laboratory Technology Transfer  

E-Print Network [OSTI]

Federal Laboratory Technology Transfer Fiscal Year 2009 Prepared by: National Institute to submit this fiscal year 2009 Technology Transfer Summary Report to the President and the Congress in accordance with 15 USC Sec 3710(g)(2) for an annual summary on the implementation of technology transfer

Perkins, Richard A.

375

Federal Laboratory Technology Transfer  

E-Print Network [OSTI]

Federal Laboratory Technology Transfer Fiscal Year 2008 Prepared by: National Institute to submit this fiscal year 2008 Technology Transfer Summary Report to the President and the Congress transfer authorities established by the Technology Transfer Commercialization Act of 2000 (P.L. 106

Perkins, Richard A.

376

Web Technology (elective package)  

E-Print Network [OSTI]

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

Franssen, Michael

377

Technology Advertising Contact Information  

E-Print Network [OSTI]

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

Peters, Richard

378

Department of Science, Technology, &  

E-Print Network [OSTI]

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

Acton, Scott

379

Science &Technology Facilities Council  

E-Print Network [OSTI]

and Science & Technology Facilities Council invite you to The ESA Technology Transfer Network SpaceTech2012Science &Technology Facilities Council Innovations Issue 31 October 2012 This issue: 1 STFC International prize for `no needles' breast cancer diagnosis technique 6 CEOI Challenge Workshop ­ Current

380

Microsoft Technology Centers Novosibirsk  

E-Print Network [OSTI]

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

Narasayya, Vivek

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


381

Microsoft Technology Centers Philadelphia  

E-Print Network [OSTI]

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

Narasayya, Vivek

382

Microsoft Technology Centers Minneapolis  

E-Print Network [OSTI]

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

Hunt, Galen

383

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

E-Print Network [OSTI]

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

Fountain, Stephen B.; Doyle, Karen E.

2011-01-01T23:59:59.000Z

384

An overview: Challenges in wind technology development  

SciTech Connect (OSTI)

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

Thresher, R W; Hock, S M

1991-12-01T23:59:59.000Z

385

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

E-Print Network [OSTI]

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

386

Links in learning logarithms  

E-Print Network [OSTI]

families: For f(x) : x2 + 2x + l, we can replace the input x with mm to produce ..... International journal oflVIathematics Education in Science and Technology, 24(2)

387

Energy Technologies | Department of Energy  

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

Energy Technologies Energy Technologies State, local, and tribal governments can use clean energy technologies to address increasing energy use and costs, economic investment and...

388

Technology, legal knowledge and citizenship  

E-Print Network [OSTI]

through adjustment. Science, Technology and Human Values 31(3 Technology, legal knowledge and citizenship On the care ofhelp of these adaptive technologies, Jose had become able to

Dominguez Rubio, Fernando; Lezaun, Javier

2014-01-01T23:59:59.000Z

389

2012 Wind Technologies Market Report  

E-Print Network [OSTI]

Colorado: Xcel Energy. 2012 Wind Technologies Market ReportOperator. 2012 Wind Technologies Market Report Chadbourne &Power Company. 2012 Wind Technologies Market Report EnerNex

Wiser, Ryan

2014-01-01T23:59:59.000Z

390

Chevron, GE form Technology Alliance  

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

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

391

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

SciTech Connect (OSTI)

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

Ian Mckirdy

2011-09-01T23:59:59.000Z

392

Technology reviews: Glazing systems  

SciTech Connect (OSTI)

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.

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

1992-09-01T23:59:59.000Z

393

Environmental Technology Verification of Mobile Sources Control...  

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

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

394

Diffusion of irreversible energy technologies under uncertainty  

SciTech Connect (OSTI)

This paper presents a model of technology diffusion is consistent with characteristics of participants in most energy markets. Whereas the models used most widely for empirical research are based on the assumption that the extended delays in adoption of cost-saving innovations are the result of either lack of knowledge about the new processes or heterogeneity across potential adopters, the model presented in this paper is based on the strategic behavior by firms. The strategic interdependence of the firms` decisions is rooted in spillover effects associated with an inability to exclude others from the learning-by-doing acquired when a firm implements a new technology. The model makes extensive use of recent developments in investment theory as it relates irreversible investments under uncertainty.

Cacallo, J.D.; Sutherland, R.J.

1993-09-01T23:59:59.000Z

395

Robotics for Learning  

E-Print Network [OSTI]

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

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

2015-01-01T23:59:59.000Z

396

Learning planar ising models  

SciTech Connect (OSTI)

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

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

2010-11-12T23:59:59.000Z

397

Two-Parameter Dynamics and Geometry  

E-Print Network [OSTI]

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

Zhi Hu; Mulin Yan; Sen Hu

2015-01-10T23:59:59.000Z

398

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

E-Print Network [OSTI]

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

Shahriar, Selim

399

Adjustable Robust Parameter Design with Unknown Distributions  

E-Print Network [OSTI]

Mar 27, 2013 ... Adjustable Robust Parameter Design with Unknown Distributions. ihsan Yanikoglu(i.yanikoglu ***at*** uvt.nl) Dick den Hertog(d.denhertog...

ihsan Yanikoglu

2013-03-27T23:59:59.000Z

400

ONE-PARAMETER CONTINUOUS FIELDS OF KIRCHBERG ...  

E-Print Network [OSTI]

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

2008-09-05T23:59:59.000Z

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


401

Sandia National Laboratories: main parameter determining laminate...  

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

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

402

Technology transfer 1994  

SciTech Connect (OSTI)

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.

Not Available

1994-01-01T23:59:59.000Z

403

Solar Energy Resources and Technologies  

Broader source: Energy.gov [DOE]

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

404

Strategic Technology JET PROPULSION LABORATORY  

E-Print Network [OSTI]

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

Waliser, Duane E.

405

Comparison of Vehicle Efficiency Technology Attributes and Synergy Estimates  

SciTech Connect (OSTI)

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.

Duleep, G.

2011-02-01T23:59:59.000Z

406

Organizational scenarios for the use of learning  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

407

Alternative Transportation Technologies: Hydrogen, Biofuels,...  

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

Transportation Technologies: Hydrogen, Biofuels, Advanced Efficiency, and Plug-in Hybrid Electric Vehicles Alternative Transportation Technologies: Hydrogen, Biofuels, Advanced...

408

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

E-Print Network [OSTI]

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

Southern California, University of

409

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

E-Print Network [OSTI]

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

410

On the Identi ability of Multipath Parameters Petre Stoica, Andreas Jakobsson and A. Lee Swindlehursty  

E-Print Network [OSTI]

Swindlehursty November 12, 1998 Abstract Consider a received signal consisting of noise and an unknown wave, the waveform power, nor the noise power can be unambiguously determined. 1 Multipath Parameter Estimation and Control Group, De- partment of Technology, Uppsala University, P.O. Box 27, S-751 03 Uppsala, Sweden y

Swindlehurst, A. Lee

411

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

412

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

E-Print Network [OSTI]

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

413

Regional Effort to Deploy Clean Coal Technologies  

SciTech Connect (OSTI)

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.

Gerald Hill; Kenneth Nemeth; Gary Garrett; Kimberly Sams

2009-01-31T23:59:59.000Z

414

Geothermal innovative technologies catalog  

SciTech Connect (OSTI)

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.

Kenkeremath, D. (ed.)

1988-09-01T23:59:59.000Z

415

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

E-Print Network [OSTI]

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

McLaren, Bruce Martin

416

Machine Learning for Global Optimization  

E-Print Network [OSTI]

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

schoen,,,

417

In: Henninger, S.; Maurer, F.; (Hrsg.): Advances in Learning Software Organizations: Proceedings of the International Workshop on Learning Software Organizations (LSO  

E-Print Network [OSTI]

Information Technology (FhG-FIT) Schloss Birlinghoven, 53754 Sankt Augustin, Germany [britta.hofmann, volker practitioners from different small and medium size enterprises (SMEs). We describe two approaches for community functionality for community support, (b) a regional network of SMEs which stimulates learning among its members

418

Digital Sensor Technology  

SciTech Connect (OSTI)

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.

Ted Quinn; Jerry Mauck; Richard Bockhorst; Ken Thomas

2013-07-01T23:59:59.000Z

419

Electric and Hybrid Vehicle Technology: TOPTEC  

SciTech Connect (OSTI)

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

Not Available

1992-01-01T23:59:59.000Z

420

Electric and Hybrid Vehicle Technology: TOPTEC  

SciTech Connect (OSTI)

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

Not Available

1992-12-01T23:59:59.000Z

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


421

PARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING  

E-Print Network [OSTI]

on grand challenge problems. In today's petroleum industry, reservoir simulators are routinely usedPARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING R.E. Ewing, M.S. Pilant, J.G. Wade in the model, the numerical discretization used, and the solution algorithms employed. Parameter identification

Ewing, Richard E.

422

Extragalactic database. VII Reduction of astrophysical parameters  

E-Print Network [OSTI]

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

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

1998-06-10T23:59:59.000Z

423

Director, Geothermal Technologies Office  

Broader source: Energy.gov [DOE]

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

424

HVAC Maintenance and Technologies  

Broader source: Energy.gov [DOE]

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

425

Genome Science/Technologies  

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

student working with Armand Dichosa, Cliff Han and Krista Reitenga. She spends the bulk of her time on projects utilizing gel microdroplet technology. Armand Dichosa, PhD,...

426

Mobile Technology Management  

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

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.

2013-11-21T23:59:59.000Z

427

Synchrophasor Technologies Page ii  

Energy Savers [EERE]

and supporting technologies and systems in their electric power transmission systems. This report has two purposes: (1) to describe, for the non-specialist, synchrophasor...

428

Flexible Assembly Solar Technology  

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

2007-2010 BrightSource Energy, Inc. All rights reserved. 1 Flexible Assembly Solar Technology Binyamin Koretz Director, Strategic Planning & IP 2 Proprietary &...

429

Lighting Technology Panel  

Broader source: Energy.gov [DOE]

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

430

Sustainable Environment Technologies (4578)  

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

Proposed Action Description: The scope of this Cooperative Research and Development (CRADA) is to develop two types of control access rate to facilities. These two technologies...

431

Advanced Propulsion Technology Strategy  

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

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

432

2015 Technology Innovation Projects  

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

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

433

Geothermal Resources and Technologies  

Broader source: Energy.gov [DOE]

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

434

Geothermal Technologies Office: Projects  

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

Exploration Technologies (6) Geopressured Resources (1) Geothermal Analysis (14) Heat Pumps (8) High-Temperature Cements (2) High-Temperature Downhole MWD Tools for...

435

Technology Integration Overview  

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

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

436

States & Emerging Energy Technologies  

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

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

437

Technology Demonstration Partnership Policy  

Broader source: Energy.gov [DOE]

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

438

Benchmarking of Competitive Technologies  

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

evaluations and assessments * Compare results with other HEV technologies * Identify new areas of interest * Evaluate advantages and disadvantages of design changes - Example:...

439

Navy Technology Evaluation Update  

Broader source: Energy.gov [DOE]

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

440

Photovoltaic Resources and Technologies  

Broader source: Energy.gov [DOE]

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

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


441

Biogas Production Technologies  

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

Biogas Production Technologies Ruihong Zhang, Professor Biological and Agricultural Engineering University of California, Davis Email: rhzhang@ucdavis.edu Biogas and Fuel Cell...

442

Technology Integration Overview  

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

Portfolio of Technologies Eliminate Alternative Fuels Electric Vehicles Biodiesel Ethanol Hydrogen Propane Natural Gas Fuel Economy More Fuel efficient vehicles, adopting smarter...

443

ENERGY EFFICIENCY TECHNOLOGY ROADMAP  

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

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

444

Technologies | Department of Energy  

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

Management Program (FEMP) offers information about energy-efficient and renewable energy technologies through the following areas. Energy-Efficient Product Procurement: Find...

445

APRIL: Active Preference-learning based Reinforcement Learning  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

446

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

E-Print Network [OSTI]

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

Barrash, Warren

447

Learning by Learning To Communicate Jacob Stuart Michael Beal  

E-Print Network [OSTI]

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

448

Technology Innovation Program 2010ANNUAL REPORT  

E-Print Network [OSTI]

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

449

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.

450

Lessons Learned Quarterly Report, March 2004  

Broader source: Energy.gov [DOE]

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

451

Sequential Causal Learning in Humans and Rats  

E-Print Network [OSTI]

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

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

2008-01-01T23:59:59.000Z

452

Sequential Causal Learning in Humans and Rats  

E-Print Network [OSTI]

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

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

2011-01-01T23:59:59.000Z

453

Feedback controller parameterizations for reinforcement learning  

E-Print Network [OSTI]

Reinforcement Learning offers a very general framework for learning controllers, but its effectiveness is closely tied to the controller parameterization used. Especially when learning feedback controllers for weakly stable ...

Roberts, John William

454

File: 070629 Lessons Learned  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityField Office Programs forDecemberLessons Learned"

455

A retrospective of VAWT technology.  

SciTech Connect (OSTI)

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.

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

2012-01-01T23:59:59.000Z

456

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

E-Print Network [OSTI]

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

Johnson Jr.,, Ray

457

Technological innovation in community housing development: Barriers to energy efficiency  

SciTech Connect (OSTI)

Community housing developers produce affordable housing and jobs for many residents of low-income neighborhoods through the rehabilitation of existing single and multi-family buildings. Typically operating as small, not-for-profits or community-based organizations, the vast numbers of community housing developers creates high coordinating costs of operating jointly to acquire the shared learning needed to implement new techniques, such as those involving energy efficiency. This paper presents a model of technology adoption that suggests that new profitable technologies will be adopted only with low probability and that strategic interaction between potential adopters further reduces the likelihood of adoption. These features result from the ability of potential adopters to postpone the bearing the costs of adoption of new technologies and their ability to share the knowledge of others who have adopted new technologies. These features are particularly characteristic of community housing developers.

Cavallo, J.D.

1996-05-01T23:59:59.000Z

458

The development of clean coal technology in the United States  

SciTech Connect (OSTI)

The United States has made a $5-billion commitment, to be shared by the government and the private sector, to the development of a new generation of clean-coal technologies. Because the nation has a resource imperative to develop domestic coal supplies and a strong commitment to environmental protection, it seems that clean coal technologies are the preferred solution for power generation needs in the United States in the medium-term. The lessons learned during this demonstration program could have important implications for technology development and deployment in other countries. The purpose of this paper is to discuss some of the aspects of the US Clean Coal Technology (CCT) demonstration program that could be relevant to other countries. 2 refs., 8 tabs.

Streets, D.G.

1989-01-01T23:59:59.000Z

459

Abstract--Much recent work in multiple input use scenarios for children's learning software has focused either on math or on  

E-Print Network [OSTI]

in static learning materials for children. With DISHA, we aim to supplement CAL programs, increasingly a narrative-interactive loop format of story-telling followed by multiple choice Q&A, DISHA uses MultiPoint technology [2, 3] for healthcare learning material. The Q&A enforces collaboration, competition and turn

Toronto, University of

460

Digital Actuator Technology  

SciTech Connect (OSTI)

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.

Ken Thomas; Ted Quinn; Jerry Mauck; Richard Bockhorst

2014-09-01T23:59:59.000Z

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


461

Technology Catalogue. First edition  

SciTech Connect (OSTI)

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).

Not Available

1994-02-01T23:59:59.000Z

462

Testing Technology: A Sandia technology bulletin  

SciTech Connect (OSTI)

Inside this issue is a farewell to Testing Technology message from technical advisor, Ruth David. Also included are articles on: Testing the I-40 bridge over the Rio Grande, simulated reactor meltdown studies, an inexpensive monitor for testing integrated circuits, testing of antihelicoptor mines, and quality assurance on aircraft inspection.

Goetsch, B.; Floyd, H.L.; Doran, L. [eds.

1994-08-01T23:59:59.000Z

463

Autonomous Traffic Control System Using Agent Based Technology  

E-Print Network [OSTI]

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

M, Venkatesh; V, Srinivas

2011-01-01T23:59:59.000Z

464

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

E-Print Network [OSTI]

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

La Rosa, Andres H.

465

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

E-Print Network [OSTI]

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

California at Santa Barbara, University of

466

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

SciTech Connect (OSTI)

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.

Kate Burke

2004-01-01T23:59:59.000Z

467

New Technology Demonstration Program  

E-Print Network [OSTI]

of systems. [1] The selected vendors are: OEM/Equipment Vendor Trane Large Building Controls Vendors Johnson Controls Siemens Building Technologies Small Building Controls Vendors With utility deregulation Technologies Teletrol Systems Software Vendors Tridium Electric Eye 3]. In many of the EMCIS products studied

468

Gasification: A Cornerstone Technology  

ScienceCinema (OSTI)

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

Gary Stiegel

2010-01-08T23:59:59.000Z

469

Gasification: A Cornerstone Technology  

SciTech Connect (OSTI)

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

Gary Stiegel

2008-03-26T23:59:59.000Z

470

IITB TECHNOLOGIES DIRECTOR'S MESSAGE  

E-Print Network [OSTI]

is useful to companies who are looking to commercialise new technologies and bring them to the market place technologies under different themes of Healthcare, Energy & Environment, Information & Communication of Microelectronics Lab #12;INDEX 1 Healthcare 1.1 An Enlightening Device for Visually Impaired People

Narayanan, H.

471

MFV Reductions of MSSM Parameter Space  

E-Print Network [OSTI]

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.

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

2015-02-09T23:59:59.000Z

472

The Parameter Space of Galaxy Formation  

E-Print Network [OSTI]

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

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

2010-01-01T23:59:59.000Z

473

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

E-Print Network [OSTI]

-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...

Seidel, Edmund

2012-07-16T23:59:59.000Z

474

7 September 2004 John Learned at Pylos ANITA and ASHRAANITA and ASHRA  

E-Print Network [OSTI]

Imaging Particle Detector Key TechnologyKey Technology 9M9M--pix. CMOS Sensor Covering 50pix. CMOS Sensor Covering Sensor ChipCMOS Sensor Chip Pixel Cost Reduction by O(10Pixel Cost Reduction by O(1044 )) #12;7 September #12;7 September 2004 John Learned at Pylos Photo 2/3 Scale prototypePhoto 2/3 Scale prototype 2

Learned, John

475

Cost and Performance Assumptions for Modeling Electricity Generation Technologies  

SciTech Connect (OSTI)

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.

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

2010-11-01T23:59:59.000Z

476

REUSABLE LEARNING OBJECTS (RLOs) INSTRUCTOR  

E-Print Network [OSTI]

and Water Science Department, University of Florida, 2181 McCarty Hall, PO Box 110290, Gainesville, FL: An Reusable Learning Object (RLO) is a small digital learning unit that can be reused, scaled, and shared be selected from the following disciplines: Environmental sciences (including soil, water, climate, policy

Ma, Lena

477

Adaptation, Learning, and Optimization over  

E-Print Network [OSTI]

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

California at Los Angeles, University of

478

Documentation Requirements for Learning Disabilities  

E-Print Network [OSTI]

Documentation Requirements for Learning Disabilities Students, faculty, staff, and campus guests wishing to request accommodations due to learning disabilities should refer to the following documentation of interest. C) Documentation must be typed, dated, signed by the evaluator and submitted to ODR

479

DECOMMISSIONING CHALLENGES AT THE ROCKY FLATS ENVIRONMENTAL TECHNOLOGY SITE  

SciTech Connect (OSTI)

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.

Dorr, K. A.; Hoover, J.

2002-02-25T23:59:59.000Z

480

TECHNOLOGY INNOVATION PROGRAM National Institute of Standards and Technology  

E-Print Network [OSTI]

TECHNOLOGY INNOVATION PROGRAM National Institute of Standards and Technology Gaithersburg, MD 20899 ADVANCED TECHNOLOGIES FOR CIVIL INFRASTRUCTURE The Technology Innovation Program (TIP) at the National Institute of Standards and Technology was established to assist U.S. businesses and institutions of higher

Magee, Joseph W.

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


481

Technology Strategic Plan 2013 2016 Office of Information Technology  

E-Print Network [OSTI]

Technology Strategic Plan 2013 ­ 2016 Office of Information Technology June 2013 #12;2 T A B L E O F C O N T E N T S: - Introduction - - Executive Summary - - Terminology - - A Vision for Technology at the City College of New York - - The Mission of the Office for Technology (OIT) - - Technology Guiding

Brinkmann, Peter

482

Information Technology and Management Department of Information Technology and Management  

E-Print Network [OSTI]

Information Technology and Management Department of Information Technology and Management Daniel F Chicago, IL 60616 appliedtech.iit.edu/information-technology-and- management Dean and Chair: C. Robert in the information technology and cyber security fields. The Information Technology and Management degrees apply

Heller, Barbara

483

Orthogonality of Macdonald polynomials with unitary parameters  

E-Print Network [OSTI]

For any admissible pair of irreducible reduced crystallographic root systems, we present discrete orthogonality relations for a finite-dimensional system of Macdonald polynomials with parameters on the unit circle subject to a truncation relation.

J. F. van Diejen; E. Emsiz

2013-08-12T23:59:59.000Z

484

Parameter estimation in ordinary differential equations  

E-Print Network [OSTI]

The parameter estimation problem or the inverse problem of ordinary differential equations is prevalent in many process models in chemistry, molecular biology, control system design and many other engineering applications. It concerns the re...

Ng, Chee Loong

2004-09-30T23:59:59.000Z

485

Quantifying the parameters of successful agricultural producers  

E-Print Network [OSTI]

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 for row-crop producers...

Kaase, Gregory Herman

2006-08-16T23:59:59.000Z

486

Uncertainty evaluation of delayed neutron decay parameters  

E-Print Network [OSTI]

parameters fit their individual measurement data well in spite of these differences. This dissertation focuses on evaluation of the errors and methods of delayed neutron relative yields and decay constants for thermal fission of U-235. Various numerical...

Wang, Jinkai

2009-05-15T23:59:59.000Z

487

Vertical Axis Wind Turbine Foundation parameter study  

SciTech Connect (OSTI)

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

Lodde, P.F.

1980-07-01T23:59:59.000Z

488

Thermophysical parameters of the LBO crystal  

SciTech Connect (OSTI)

The thermophysical parameters (linear thermal expansion coefficients, thermal conductivities, and heat capacity) of the lithium triborate (LBO) crystal are measured and compared with previously published data. (nonlinear-optics phenomena)

Grechin, Sergei G [Scientific-Research Institute of Radioelectronics and Laser Technology at the N.E. Bauman Moscow State Technical University, Moscow (Russian Federation); Zuev, A V; Fokin, A S [All-Russian Scientific Research Institute of Aviation Materials, Moscow (Russian Federation); Kokh, Aleksandr E [V.S.Sobolev Institute of Geology and Mineralogy, Siberian Branch, Russian Academy of Sciences, Novosibirsk (Russian Federation); Moiseev, N V; Popov, Petr A; Sidorov, Aleksei A [Acad. I. G. Petrovskii Bryansk State University, Bryansk (Russian Federation)

2010-08-27T23:59:59.000Z

489

Integral data analysis for resonance parameters determination  

SciTech Connect (OSTI)

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

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

1997-09-01T23:59:59.000Z

490

Weapons of Mass Destruction Technology Evaluation and Training Range  

SciTech Connect (OSTI)

The Idaho National Laboratory (INL) has a long history for providing technology evaluation and training for military and other federal level Weapons of Mass Destruction (WMD) response agencies. Currently there are many federal organizations and commercial companies developing technologies related to detecting, assessing, mitigating and protecting against hazards associated with a WMD event. Unfortunately, very few locations exist within the United States where WMD response technologies are realistically field tested and evaluated using real chemical, biological, radiological, nuclear and explosive materials. This is particularly true with biological and radiological hazards. Related to this lack of adequate WMD, multi-hazard technology testing capability is the shortage of locations where WMD response teams can train using actual chemical, biological, and radiological material or highly realistic simulates. In response to these technology evaluation and training needs, the INL has assembled a consortium of subject matter experts from existing programs and identified dedicated resources for the purpose of establishing an all-hazards, WMD technology evaluation and training range. The author describes the challenges associated with creating the all-hazards WMD technology evaluation and training range and lists the technical, logistical and financial benefits of an all-hazards technology evaluation and training range. Current resources and capabilities for conducting all-hazard technology evaluation and training at the INL are identified. Existing technology evaluation and training programs at the INL related to radiological, biological and chemical hazards are highlighted, including successes and lessons learned. Finally, remaining gaps in WMD technology evaluation and training capabilities are identified along with recommendations for closing those gaps.

Kevin Larry Young

2009-05-01T23:59:59.000Z

491

In Gbel, St., Braun, N., Spierling, U., Dechau, J. & Diener, H. (Eds.) TIDSE, 1st International Conference on Technologies for Interactive Digital Storytelling and Entertainment. Stuttgart  

E-Print Network [OSTI]

Conference on Technologies for Interactive Digital Storytelling and Entertainment. Stuttgart: Fraunhofer, Peter Hoffmann, Michael Herczeg Institute for Multimedia and Interactive Systems University of Luebeck-learning systems. This has already occurred in the classical training and university teachings environments

Lübeck, Universität zu

492

Focused Ion Beam Induced Effects on MOS Transistor Parameters  

SciTech Connect (OSTI)

We report on recent studies of the effects of 50 keV focused ion beam (FIB) exposure on MOS transistors. We demonstrate that the changes in value of transistor parameters (such as threshold voltage, V{sub t}) are essentially the same for exposure to a Ga+ ion beam at 30 and 50 keV under the same exposure conditions. We characterize the effects of FIB exposure on test transistors fabricated in both 0.5 {micro}m and 0.225 {micro}m technologies from two different vendors. We report on the effectiveness of overlying metal layers in screening MOS transistors from FIB-induced damage and examine the importance of ion dose rate and the physical dimensions of the exposed area.

Abramo, Marsha T.; Antoniou, Nicholas; Campbell, Ann N.; Fleetwood, Daniel M.; Hembree, Charles E.; Jessing, Jeffrey R.; Soden, Jerry M.; Swanson, Scot E.; Tangyunyong, Paiboon; Vanderlinde, William E.

1999-07-28T23:59:59.000Z

493

Learning Rules In learning rules, we are interested in learning rules of the  

E-Print Network [OSTI]

{best} while frontier is not empty candidates all hypotheses generated by adding a test to a hypothesis at a time instead of just one. #12;Learn-One-Rule Beam-Search-Algorithm Learn-One-Rule best , frontier in frontier best best1 hypothesis in {best} candidates frontier best2 k hypotheses in candidates return

Bylander, Tom

494

Robotics Technology Development Program. Technology summary  

SciTech Connect (OSTI)

The Robotics Technology Development Program (RTDP) is a ``needs-driven`` effort. A lengthy series of presentations and discussions at DOE sites considered critical to DOE`s Environmental Restoration and Waste Management (EM) Programs resulted in a clear understanding of needed robotics applications toward resolving definitive problems at the sites. A detailed analysis of the Tank Waste Retrieval (TWR), Contaminant Analysis Automation (CAA), Mixed Waste Operations (MWO), and Decontamination & Dismantlement (D&D). The RTDP Group realized that much of the technology development was common (Cross Cutting-CC) to each of these robotics application areas, for example, computer control and sensor interface protocols. Further, the OTD approach to the Research, Development, Demonstration, Testing, and Evaluation (RDDT&E) process urged an additional organizational break-out between short-term (1--3 years) and long-term (3--5 years) efforts (Advanced Technology-AT). The RDTP is thus organized around these application areas -- TWR, CAA, MWO, D&D and CC&AT -- with the first four developing short-term applied robotics. An RTDP Five-Year Plan was developed for organizing the Program to meet the needs in these application areas.

Not Available

1994-02-01T23:59:59.000Z

495

Technology Innovation Program Advisory Board  

E-Print Network [OSTI]

Technology Innovation Program Advisory Board 2009 Annual Report of the #12;2009 Annual Report of the Technology Innovation Program Advisory Board U.S. Department of Commerce National Institute of Standards and Technology Technology Innovation Program February 2010 #12;For Information regarding the Technology

Magee, Joseph W.

496

The IDA Technology Stan Franklin  

E-Print Network [OSTI]

The IDA Technology Stan Franklin and the `Conscious' Software Research Group #12;FedEx Institute of Technology--The IDA Technology 2 Introducing IDA An intelligent software agent capable of entirely of Technology--The IDA Technology 3 IDA Negotiates IDA negotiates with clients in natural language

Memphis, University of

497

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

Energy Savers [EERE]

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

498

OHVT technology roadmap [2000  

SciTech Connect (OSTI)

The OHVT Technology Roadmap for 2000 presents the multiyear program plan of the U.S. DOE's Office of Heavy Vehicle Technologies (OHVT). It is an update of the 1997 plan, reflecting changes in regulations and ongoing discussions with DOE's heavy vehicle customers. The technical plan covers three classes of trucks: (1) class 7-8 (large, on-highway trucks); (2) class 3-6 (medium duty trucks); (3) class 1-2 (pickups, vans, and sport utility vehicles) as well as enabling and supporting technologies. The Roadmap documents program goals, schedules, and milestones.

Bradley, R.A.

2000-02-01T23:59:59.000Z

499

The New Energy Management Frontier: The Critical Role of a Systematic Management Approach in Making Technology Improvements Successful  

E-Print Network [OSTI]

The New Energy Management Frontier: The Critical Role of a Systematic Management Approach in Making Technology Improvements Successful Jon Feldman Senior Consultant Hatch Consulting Mississauga, Ontario, Canada ABSTRACT Improvements... in technology certainly playa pivotal role in the quest for increased energy efficiency. However, sophisticated industrial energy users are increasingly learning that technology alone cannot drive long-tenn, sustainable reductions in energy cost. The role...

Feldman, J.

500

The Student Learning Organizer 139Chapter 15 The Student Learning  

E-Print Network [OSTI]

, a wireless personal digital assistant (PDA), alongside their other mobile technology. From an activity theory of mobile technology to help students organise their activities, including: Which software tools had limited personal information management tools available on their mobile phones. Techn

Bull, Susan