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Note: This page contains sample records for the topic "undp-adaptation learning mechanism" from the National Library of EnergyBeta (NLEBeta).
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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

UNDP-Adaptation Learning Mechanism | Open Energy Information  

Open Energy Info (EERE)

Adaptation Learning Mechanism Adaptation Learning Mechanism Jump to: navigation, search Logo: UNDP-Adaptation Learning Mechanism Name UNDP-Adaptation Learning Mechanism Agency/Company /Organization United Nations Development Programme Sector Climate, Energy, Land, Water Topics Adaptation Resource Type Lessons learned/best practices, Training materials Website http://www.adaptationlearning. Program Start 2007 References Adaptation Learning Mechanism[1] Abstract Seeking to provide stakeholders with a common platform for sharing and learning, the ALM bridges knowledge gaps by bringing relevant knowledge and stakeholders together to exchange information, experiences, and expertise. Additionally, the ALM complements the wide range of adaptation knowledge networks and initiatives already underway.

2

Compliant mechanism learning toolkit  

E-Print Network (OSTI)

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

Allard, Nicholas (Nicholas A.)

2006-01-01T23:59:59.000Z

3

Quantum mechanics helps in learning for more intelligent robot  

E-Print Network (OSTI)

A learning algorithm based on state superposition principle is presented. The physical implementation analysis and simulated experiment results show that quantum mechanics can give helps in learning for more intelligent robot.

Dao-Yi Dong; Chun-Lin Chen; Zong-Hai Chen; Chen-Bin Zhang

2005-06-18T23:59:59.000Z

4

The neurobiological mechanisms underlying the sensitization of pain and learning  

E-Print Network (OSTI)

THE NEUROBIOLOGICAL MECHANISMS UNDERLYING THE SENSITIZATION OF PAFN AND LEARNING A Senior Honors Thesis by BRIANNE COLEMARIE PATTON Submitted to the Office of Honors Programs & Academic Scholarships Texas A&M University in partial... fulfillment of the requirements of the UNIVERSITY UNDERGRADUATE RESEARCH FELLOWS April 200 l Psychology 2 THE NEUROBIOLOGICAL MECHANISMS UNDERLYING THE SENSITIZATION OF PAIN AND LEARNING A Senior Honors Thesis by BRIANNE COLEMARIE PATTON Submitted...

Patton, Brianne Colemarie

2013-02-22T23:59:59.000Z

5

A virtual experiment platform for mechanism motion cognitive learning  

Science Journals Connector (OSTI)

In order to give students a more intuitionistic understanding in mechanism motion system, a virtual experiment platform is designed and developed. First, experimental component models, which contain both visual information and logical information, are ... Keywords: mechanism motion experiment, modelica modeling, virtual experiment, virtual reality

Xiumin Fan; Xi Zhang; Huangchong Cheng; Yanjun Ma; Qichang He

2011-07-01T23:59:59.000Z

6

Meter as Mechanism: A Neural Network that Learns Metrical Michael Gasser, Douglas Eck and Robert Port  

E-Print Network (OSTI)

Meter as Mechanism: A Neural Network that Learns Metrical Patterns Michael Gasser, Douglas Eck that apparently underlies both music and some examples of speech production is meter. Yet detailed measurements of pulses that conform to particular meters. In addition, beginning with an initial state with no biases

Gasser, Michael

7

Controlled study on the effectiveness of multimedia learning modules for teaching mechanics  

Science Journals Connector (OSTI)

We have investigated the impact of using multimedia learning modules (MLM) on the learning of students enrolled in introductory physics courses at California State Polytechnic University, Pomona. One hundred fifty-nine students were randomly registered in two sections of an introductory mechanics course, one of which featured the MLMs. Both sections had the same instructor, participated in class discussions on identical topics, and used the same problem-solving examples. The students in the multimedia group outperformed the students who did not experience the MLMs in a final course examination and across identical discussion questions.

Homeyra R. Sadaghiani

2012-02-03T23:59:59.000Z

8

Regulatory Design for RES-E Support Mechanisms: Learning Curves, Market Structure, and Burden-Sharing  

E-Print Network (OSTI)

Drawing from relevant experiences in power systems around the world, this paper offers a critical review of existing policy support mechanisms for RES-E (renewable energy sources for electricity), with a detailed analysis ...

Batlle, Carlos

9

Comparing Student Learning in Mechanics Using Simulations and Hands?on Activities  

Science Journals Connector (OSTI)

Often computer simulation environments present students with an idealized version of the real world which can affect students’ conceptual understanding. In this study we investigate the effects of completing an experiment in mechanics using this ideal world as compared to an identical experiment in the real world. Students in three of five conceptual physics laboratory sections completed the physical experiment while the other two sections performed the virtual experiment. The experiments were part of a unit on simple machines from the CoMPASS curriculum [1] which integrates hypertext?based concept maps in a design?based context. There was no statistically significant difference between the pre and post data of the students in the two groups. Students who performed the virtual experiment were able to answer questions dealing with work and potential energy more correctly though neither group was able to offer sound reasoning to support their answers.

Adrian Carmichael; Jacquelyn J. Chini; N. Sanjay Rebello; Sadhana Puntambekar

2010-01-01T23:59:59.000Z

10

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

11

Learning Autodesk Inventor 2010  

Science Journals Connector (OSTI)

Learn Autodesk Inventor 2010in this full-color Official Training Guide This Official Training Guide from Autodesk is the perfect resource for beginners or professionals seeking training or preparing for certification in Autodesk's Inventor 3D mechanical ...

Autodesk Official Training Guide

2009-11-01T23:59:59.000Z

12

Continual Learning  

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

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

13

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

14

Learning at the boundary of the firm : learning-by-interaction between a manufacturer and its users  

E-Print Network (OSTI)

My dissertation centers on the very nature of the interaction and the learning that happens between users and manufacturers, and explores various micro-level mechanisms, which I call, "learning-by-interaction." The core ...

Bae, Sung Joo

2009-01-01T23:59:59.000Z

15

Physical process Mechanical mechanisms  

E-Print Network (OSTI)

1 Physical process Generation · Mechanical mechanisms F = m·a · Electric/Magnetic mechanisms F ­ Quadrupoles......shear stress fluctuations ­ High order poles...... phys. interpretation difficult Governing

Berlin,Technische Universität

16

Micro-level learning and alliance portfolio performance  

Science Journals Connector (OSTI)

This study examines learning mechanisms to explain why some firms extract superior economic rents from their alliance portfolios. In particular, we examine the relationship between alliance experience and the use of learning mechanisms, as well as the impact of learning mechanisms on a firm's capability to manage alliance portfolios. The results are based on a detailed survey among 192 alliance managers and Vice-Presidents reporting on over 3400 alliances initiated over the period 1997â??2001. The empirical findings reveal what micro-level learning mechanisms contribute to manage alliance portfolios successfully and empirically validate how lessons from prior alliances can be leveraged across a firm's entire alliance portfolio.

Koen H. Heimeriks

2010-01-01T23:59:59.000Z

17

Transformative Higher Education Teaching and Learning: Using Social Media in a Team-based Learning Environment  

Science Journals Connector (OSTI)

Abstract This study aims to assess the effectiveness of social media to enhance teaching and learning in a team-based learning environment involving large classes. The use of digital technology via Facebook, enhanced team-based learning outside the classroom, complementing face-to-face lessons. Students were also exposed to several student-centered learning mechanisms including poster presentations and expert forums in an effort to provide them with a more holistic learning experience. The theoretical framework of the study is based on the educational theories of constructivism and social learning. The students” learning experience and motivation was assessed through content analysis of their reflective portfolios and their Facebook postings. The results clearly showed the positive impact that team-based strategy had on the students” learning experience and motivation. Facebook was indeed perceived as an innovative and effective tool in a student-centered learning environment that enriched students” educational experiences, increasing the relevance of the subject matter and encouraging students to collaborate effectively with their peers and faculty. From the perspective of the educator, the use of Facebook in a team-based pedagogy setting significantly enhanced the teaching and learning process as it allowed the educator to tap into the digital learning styles of the students and provided innovative ways of involving and motivating students in the learning process.

R. Ratneswary V.Rasiah

2014-01-01T23:59:59.000Z

18

Learning Curve  

Directives, Delegations, and Requirements

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

19

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"

20

AMEAerospace & Mechanical  

E-Print Network (OSTI)

AMEAerospace & Mechanical Engineering #12;Aerospace and Mechanical Engineers design complex mechanical, thermal, fluidic, acousti- cal, optical, and electronic systems, with char- acteristic sizes space. Aerospace and Mechanical Engineering (AME) students conduct basic and applied research within

Wang, Hai

Note: This page contains sample records for the topic "undp-adaptation learning mechanism" 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

WINDExchange: Learn About Wind  

Wind Powering America (EERE)

Curricula & Teaching Materials Resources Learn About Wind Learn about how wind energy generates power; where the best wind resources are; how you can own, host, partner...

22

DOE Lessons Learned  

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

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

23

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

24

-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

25

Enhancing Autonomous Agents Evolution with Learning by Imitation Elhanan Borenstein  

E-Print Network (OSTI)

Enhancing Autonomous Agents Evolution with Learning by Imitation Elhanan Borenstein School@post.tau.ac.il Abstract This paper presents a new mechanism to enhance the evolutionary process of autonomous agents of autonomous agents, when other forms of learning are not possible. 1 Introduction A large body of work

Borenstein, Elhanan

26

Multidisciplinary integrative learning in undergraduate design projects  

Science Journals Connector (OSTI)

Design is inherently multidisciplinary. Engineering design is a merger between many fields of science combined with decision-making that produces an object that satisfies predetermined constraints. These constraints could be technical, socio-political, environmental, and economic since all engineering decisions have human consequences. This article discusses innovations and blended approaches to learning and teaching that encourage life-long learning through a management strategy for design projects. The case study used is a design project that included a team of electrical, chemical, mechanical and civil engineers. Traditionally, multidisciplinary engineering design projects have common pitfalls that are exacerbated when forming groups of students from different disciplines to collaborate together on the projects. This paper accounts curriculum development activities supervising a multidisciplinary engineering design project at undergraduate level. It presents the pedagogical challenges: independent learning, task integration management tools used to guide a Generation Y design team considering the value of reflection and in which students learn to be engineers.

Abdallah M. Hasna

2010-01-01T23:59:59.000Z

27

DEPARTMENT OF MECHANICAL ENGINEERING UNDERGRADUATE CURRICULUM GUIDE  

E-Print Network (OSTI)

to Engineering Network Services (ENS). ENS supports hundreds of computers in the College of EngineeringDEPARTMENT OF MECHANICAL ENGINEERING UNDERGRADUATE CURRICULUM GUIDE Fall 2013 The mechanical engineering undergraduate curriculum at CSU is designed to provide both classroom learning and on

28

DEPARTMENT OF MECHANICAL ENGINEERING UNDERGRADUATE CURRICULUM GUIDE  

E-Print Network (OSTI)

to Engineering Network Services (ENS). ENS supports hundreds of computers in the College of EngineeringDEPARTMENT OF MECHANICAL ENGINEERING UNDERGRADUATE CURRICULUM GUIDE Fall 2012 The mechanical engineering undergraduate curriculum at CSU is designed to provide both classroom learning and on

29

DEPARTMENT OF MECHANICAL ENGINEERING UNDERGRADUATE CURRICULUM GUIDE  

E-Print Network (OSTI)

to Engineering Network Services (ENS). ENS supports hundreds of computers in the College of EngineeringDEPARTMENT OF MECHANICAL ENGINEERING UNDERGRADUATE CURRICULUM GUIDE Fall 2014 The mechanical engineering undergraduate curriculum at CSU is designed to provide both classroom learning and on

30

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.

31

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

32

What is Machine Learning? About the Course Example Machine Learning  

E-Print Network (OSTI)

What is Machine Learning? About the Course Example Machine Learning DD2431 ¨Orjan Ekeberg Oct­Dec, 2008 What is Machine Learning? About the Course Example 1 What is Machine Learning? Definition A Hypothetical Project What is Machine Learning? About the Course Example 1 What is Machine Learning? Definition

Kjellström, Hedvig

33

What is Machine Learning? About the Course Example Machine Learning  

E-Print Network (OSTI)

What is Machine Learning? About the Course Example Machine Learning DD2431 ¨Orjan Ekeberg Oct­Dec, 2007 What is Machine Learning? About the Course Example 1 What is Machine Learning? Definition A Hypothetical Project What is Machine Learning? About the Course Example 1 What is Machine Learning? Definition

Kjellström, Hedvig

34

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

35

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

36

Learning Agents with Evolving Hypothesis Classes  

E-Print Network (OSTI)

and the law of universal gravitation forms Newton's mechanical universe Contradiction of a law developed by learning laws of limited applicability. The laws are combined to form complete hypothesis about of -errors is bounded by C + Nt 1- log 1 (1-) #12;Combining deterministic laws Instead of the hypotheses

Hutter, Marcus

37

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

38

Woods for Learning Strategy Woods for Learning Strategy | 32 | Woods for Learning Strategy  

E-Print Network (OSTI)

Strategy Woods for Learning #12;Woods for Learning Strategy Woods for Learning Strategy | 32 | Woods for Learning Strategy Foreword We want our young people to be successful learners, confident the use of woods for learning. Woodlands provide a rich resource for a range of learning opportunities

39

E-Print Network 3.0 - acid-dependent signaling mechanisms1 Sample...  

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

results for: acid-dependent signaling mechanisms1 Page: << < 1 2 3 4 5 > >> 1 Curriculum vitae 174 Curriculum vitae Summary: , Germany. There she learned several molecular...

40

Learning Programs | Department of Energy  

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

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

Note: This page contains sample records for the topic "undp-adaptation learning mechanism" 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

Early Lessons Learned  

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

Lessons Learned Deploying a 100Gbps Network Steve Cotter Dept Head, Energy Sciences Network May 4, 2011 Enterprise Innovation Symposium Atlanta, GA Lawrence Berkeley National...

42

Mechanical memory  

DOE Patents (OSTI)

A first-in-first-out (FIFO) microelectromechanical memory apparatus (also termed a mechanical memory) is disclosed. The mechanical memory utilizes a plurality of memory cells, with each memory cell having a beam which can be bowed in either of two directions of curvature to indicate two different logic states for that memory cell. The memory cells can be arranged around a wheel which operates as a clocking actuator to serially shift data from one memory cell to the next. The mechanical memory can be formed using conventional surface micromachining, and can be formed as either a nonvolatile memory or as a volatile memory.

Gilkey, Jeffrey C. (Albuquerque, NM); Duesterhaus, Michelle A. (Albuquerque, NM); Peter, Frank J. (Albuquerque, NM); Renn, Rosemarie A. (Albuquerque, NM); Baker, Michael S. (Albuquerque, NM)

2006-05-16T23:59:59.000Z

43

Mechanical memory  

DOE Patents (OSTI)

A first-in-first-out (FIFO) microelectromechanical memory apparatus (also termed a mechanical memory) is disclosed. The mechanical memory utilizes a plurality of memory cells, with each memory cell having a beam which can be bowed in either of two directions of curvature to indicate two different logic states for that memory cell. The memory cells can be arranged around a wheel which operates as a clocking actuator to serially shift data from one memory cell to the next. The mechanical memory can be formed using conventional surface micromachining, and can be formed as either a nonvolatile memory or as a volatile memory.

Gilkey, Jeffrey C. (Albuquerque, NM); Duesterhaus, Michelle A. (Albuquerque, NM); Peter, Frank J. (Albuquerque, NM); Renn, Rosemarie A. (Alburquerque, NM); Baker, Michael S. (Albuquerque, NM)

2006-08-15T23:59:59.000Z

44

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.

45

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

46

Learn More about Fusion & Lasers  

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

& Lasers How Lasers Work Learn how lasers were developed and how they work. Outreach NIF & Photon Science researchers take learning opportunities on the road. Glossary Don't...

47

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

48

Computational mechanics  

SciTech Connect

The Computational Mechanics thrust area sponsors research into the underlying solid, structural and fluid mechanics and heat transfer necessary for the development of state-of-the-art general purpose computational software. The scale of computational capability spans office workstations, departmental computer servers, and Cray-class supercomputers. The DYNA, NIKE, and TOPAZ codes have achieved world fame through our broad collaborators program, in addition to their strong support of on-going Lawrence Livermore National Laboratory (LLNL) programs. Several technology transfer initiatives have been based on these established codes, teaming LLNL analysts and researchers with counterparts in industry, extending code capability to specific industrial interests of casting, metalforming, and automobile crash dynamics. The next-generation solid/structural mechanics code, ParaDyn, is targeted toward massively parallel computers, which will extend performance from gigaflop to teraflop power. Our work for FY-92 is described in the following eight articles: (1) Solution Strategies: New Approaches for Strongly Nonlinear Quasistatic Problems Using DYNA3D; (2) Enhanced Enforcement of Mechanical Contact: The Method of Augmented Lagrangians; (3) ParaDyn: New Generation Solid/Structural Mechanics Codes for Massively Parallel Processors; (4) Composite Damage Modeling; (5) HYDRA: A Parallel/Vector Flow Solver for Three-Dimensional, Transient, Incompressible Viscous How; (6) Development and Testing of the TRIM3D Radiation Heat Transfer Code; (7) A Methodology for Calculating the Seismic Response of Critical Structures; and (8) Reinforced Concrete Damage Modeling.

Goudreau, G.L.

1993-03-01T23:59:59.000Z

49

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

50

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

51

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

52

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

53

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

54

Mechanical Vibration  

Science Journals Connector (OSTI)

... THE suppression and control of mechanical vibration have assumed great importance in engineering. One consequence of this is that the number ... degree of emphasis is placed on transient oscillation (in addition to steady-State and free vibration). The treatment of this topic is based mainly on phase-plane constructions and it ...

R. E. D. BISHOP

1958-12-06T23:59:59.000Z

55

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

56

Computers for Learning  

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

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

57

Learning About Magnets!  

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

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

58

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

59

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

60

Live, Learn and Thrive  

E-Print Network (OSTI)

Live, Learn and Thrive RGBI team award presented at NMSU ceremony by Danielle Supercinski Rio Grande Basin Initiative (RGBI) participants received the Team Award from New Mexico State University (NMSU) on April 21, 2005, during the NMSU Live..., Learn and Thrive awards convocation. New Mexico efforts are led by Craig Runyan, coordinator for NMSU project efforts, and assisted by Leeann DeMouche. Runyan, DeMouche and 40 other members of the RGBI received this award for demonstrating...

Supercinski, Danielle

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "undp-adaptation learning mechanism" 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

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

62

Lessons Learned Database | Department of Energy  

Energy Savers (EERE)

Lessons Learned Database Login Welcome to the Lessons Learned site, the premier Web tool for online information sharing regarding Lessons Learned issues. Please login to...

63

Why mechanics should be integral to secondary school mathematics  

Science Journals Connector (OSTI)

......must be obtained in a way from a given set of propositions--the axioms of mechanics...mechanics knowledge state of their intake, locating the problem in the way the reorganization...acquiescence of the examination boards. That domination has created a culture of learning in which......

Stuart Rowlands

2008-12-01T23:59:59.000Z

64

Intrinsically Motivated Goal Exploration for Active Motor Learning in Robots: A Case Study  

E-Print Network (OSTI)

the exploration process typically set constraints on actions and goals. Social guidance is an important sourceIntrinsically Motivated Goal Exploration for Active Motor Learning in Robots: A Case Study Adrien exploration mechanism which allows a redundant robot to efficiently and actively learn its inverse kinematics

Paris-Sud XI, Université de

65

On Developments in Interactive Web-based Learning Modules in a Thermal-Fluids  

E-Print Network (OSTI)

On Developments in Interactive Web-based Learning Modules in a Thermal-Fluids Engineering Course* T consider the development of Web-based learning modules for 2.005 Thermal-Fluids Engineer- ing I, a second-based thermal- fluids courses [4]. The Mechanical Engineering Department at MIT has undertaken an initiative

66

Neural object recognition by hierarchical learning and extraction of essential shapes  

E-Print Network (OSTI)

in a feed- forward path. We also present a neural mechanism for back projection of the learned image "Neocognitron", was suggested by Kunihiko Fukushima in 1980 [4]. Neocognitron consists of a series of S- and C

Kolesnik, Marina

67

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

68

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.

69

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

70

1 Design by Autonomous Learning Design by Autonomous Learning  

E-Print Network (OSTI)

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

Prabhakar, Sattiraju

71

Mechanical & Aerospace Engineering  

E-Print Network (OSTI)

Mechanical & Aerospace Engineering An experimental methodology is presented for mechanism verification of physics-based prognosis of mechanical damage, such as fatigue. The proposed experimental methodology includes multi-resolution in-situ mechanical testing, advanced imaging analysis, and mechanism

72

Continual Learning | Department of Energy  

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

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

73

What Police Learn From Lawsuits  

E-Print Network (OSTI)

Please do not Copy or Cite What Police Learn From LawsuitsPlease do not Copy or Cite What Police Learn From Lawsuitsdata as comprehensive as what is gathered by plaintiffs’

Schwartz, Joanna C.

2011-01-01T23:59:59.000Z

74

National Hydrogen Learning Demonstration Status | Department...  

Energy Savers (EERE)

Hydrogen Learning Demonstration Status National Hydrogen Learning Demonstration Status Download presentation slides from the Fuel Cell Technologies Program webinar "National...

75

Instrumental Learning Within the Spinal Cord: Underlying Mechanisms  

E-Print Network (OSTI)

at Galveston Adam R. Ferguson Ohio State University Stephanie N. Washburn Michelle A. Hook Texas A&M University for Recovery After Injury James W. Grau Texas A&M University Eric D. Crown University of Texas Medical Branch Rajesh C. Miranda Texas A&M Health Science Center that how one answers this question has important impli

Grau, James

76

Neurophysiological mechanisms involved in language learning in adults  

Science Journals Connector (OSTI)

...different contexts. This process of zooming into the semantic...interplay between the MTG and the ventral IFG...selection/retrieval processes via top-down modulations...MTL-dependent storage processes (episodic-lexical...inferior temporal gyrus; MTG, posterior medial temporal...

2009-01-01T23:59:59.000Z

77

Embodied Attention and Word Learning by Toddlers Linda B. Smith  

E-Print Network (OSTI)

1 Embodied Attention and Word Learning by Toddlers Chen Yu Linda B. Smith Department, & Tenenbaum, 2009; Quine, 1964; Smith & Yu, 2008; Snedeker & Gleitman, 2004; Waxman & Booth, 2001 mechanisms that evaluate data across many word-scene experiences (Frank et al., 2009; Smith & Yu, 2008; Yu

Yu, Chen

78

Machine Learning Applications for Data Center Optimization Jim Gao, Google  

E-Print Network (OSTI)

The modern data center (DC) is a complex interaction of multiple mechanical, electrical and controls systems improvements in hardware affordability and the exponential growth of Big Data, the modern Internet companyMachine Learning Applications for Data Center Optimization Jim Gao, Google Abstract

Cortes, Corinna

79

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

80

Active collaborative permutation learning  

Science Journals Connector (OSTI)

We consider the problem of Collaborative Permutation Recovery, i.e. recovering multiple permutations over objects (e.g. preference rankings over different options) from limited pairwise comparisons. We tackle both the problem of how to recover multiple ... Keywords: active learning, collaborative ranking, matrix factorization

Jialei Wang, Nathan Srebro, James Evans

2014-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "undp-adaptation learning mechanism" 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

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

82

Learning Xamarin Studio  

Science Journals Connector (OSTI)

Learn how to build high-performance native applications using the power of Xamarin Studio Who This Book Is ForThis book is intended for .NET developers with any level of experience and who are interested in building native applications without the hassle ...

William Smith

2014-08-01T23:59:59.000Z

83

Lunch & Learn Cost Sharing  

E-Print Network (OSTI)

Lunch & Learn Cost Sharing #12;Today's Agenda Policy Procedures OMNI Child Budget Setup Transactions in OMNI FACET Common Issues #12;Cost Sharing Policy http://www.research.fsu.edu/contractsgra nts ­ Not quantified ­ Do not have to account for and report #12;Cost Sharing Procedures http

McQuade, D. Tyler

84

Learning, Memory, & Attention Instructor  

E-Print Network (OSTI)

1 COGS 101B: Learning, Memory, & Attention · Welcome! · Instructor ­ Dr. Coulson ­ Email: coulson Attention ­ Divided Attention ­ Automaticity ­ Attentional Capture · Immediate Memory ­ Sensory Memory ­ Short-Term Memory ­ Working Memory · Long-Term Memory ­ Levels of Processing ­ Memory Systems

Coulson, Seana

85

Learning teamwork behaviors approach: learning by observation meets case-based planning  

Science Journals Connector (OSTI)

Learning collaborative behaviors is an essential part of multi agent systems. One of the suitable techniques for learning collaborative behaviors is observational learning. This paper describes a hybrid method for learning teamwork behaviors from an ... Keywords: case-based planning, collaborative behavior, learning collaborative behaviors, multi agent learning, observational learning, soccer, teamwork

Banafsheh Rekabdar; Bita Shadgar; Alireza Osareh

2012-09-01T23:59:59.000Z

86

Measuring student learning over time with clickers in an introductory operations management course  

Science Journals Connector (OSTI)

This article describes the use of classroom communications systems, otherwise known as clickers, for measuring student learning over time. In an introductory operations management course, they were used to track student learning and progress. Student learning was assessed based upon the three lower levels in Bloom's taxonomy: knowledge, understanding and application. This assessment occurred during lectures, small-stakes quizzes and high-stakes tests. This article shows that assessment opportunities are made possible through the use of clickers. This provides a mechanism to measure learning and allows an instructor to adjust instruction and to diagnose individual students in a timely manner so that additional help can be provided to students in need. Since many of the factors involved in the learning process lie outside of the realm of clicker technology, readers are advised to be cautious about reaching conclusions too quickly with regard to student learning and clickers.

Harm-Jan Steenhuis; Brian Grinder; Erik-Joost De Bruijn

2009-01-01T23:59:59.000Z

87

Implementing intra-organizational learning:: A phased-model approach supported by intranet technology  

Science Journals Connector (OSTI)

The learning organization has been heralded as a proactive structure to address the amount and rate of change facing businesses today. A learning culture provides managers with the information and analyses necessary to modify their organizations to satisfy both internal and external stakeholders. Information technology has been identified as an enabler of organizational learning, yet it is insufficient in and of itself. Furthermore, the specific mechanisms to bring about learning in an organizational context have not yet been well articulated. This paper explores a phased-model implementation of learning in an organization and an intranet as the supporting information technology infrastructure that is most effective in creating and maintaining such a learning environment.

Michael Harvey; Jonathan Palmer; Cheri Speier

1998-01-01T23:59:59.000Z

88

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

89

Mechanical and Aerospace Engineering  

E-Print Network (OSTI)

Mechanical and Aerospace Engineering seminar Three Dimensional Traction Force Microscopy with Applications in Cell Mechanics abstract The interactions between biochemical and mechanical signals during-dimensional measurement techniques are needed to investigate the effect of mechanical properties of the substrate

90

Mechanical Engineer Company Description  

E-Print Network (OSTI)

Mechanical Engineer Company Description Control Solutions Inc. is a small, dynamic, and rapidly. Position Description The Mechanical Engineer is responsible for all aspects associated with the mechanical enclosures, brackets, cabling assemblies among others. Systems include mechanisms, sensors, hydraulics, among

Kostic, Milivoje M.

91

MECHANICAL ENGINEERING Ross Schlueter  

E-Print Network (OSTI)

MECHANICAL ENGINEERING Ross Schlueter Engineering Deputy For Mechanical Engineering Russ Wells Mechanical Engineering Department Deputy ELECTRONICS, SOFTWARE & INSTRUMENTATION ENGINEERING Henrik von Der Sen Mechanical Admin. Assist. Joan Wolter Electronics Admin. Assist. Marilyn Wong Division Admin

92

NEPA Lessons Learned Questionnaire  

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

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

93

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

94

Learning About Magnets!  

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

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

95

Learning planar ising models  

SciTech Connect

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

96

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

97

Learning Center | Argonne National Laboratory  

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

Contact education@anl.gov Celebrating Computer Science Join Argonne Ed in exploring solar energy throughout September and October. Learn about the amazing reseach Argonne is doing...

98

ENGINEERING MECHANICS SEMINARSENGINEERING MECHANICS SEMINARS THINK COMPOSITE  

E-Print Network (OSTI)

ENGINEERING MECHANICS SEMINARSENGINEERING MECHANICS SEMINARS THINK COMPOSITE "THINK outside the box" for more competitive structural COMPOSITES Dr. Melih Papila Visiting Professor, Aero/Astro Department, Stanford University. Adv. Composites and Polymer Processing Lab., Sabanci University, Istanbul. mpapila

Ponce, V. Miguel

99

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

100

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

Note: This page contains sample records for the topic "undp-adaptation learning mechanism" 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

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

102

Environment/Health/Safety (EHS): Lessons Learned  

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

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

103

Aid for Trade and Climate Change Financing Mechanisms | Open Energy  

Open Energy Info (EERE)

Aid for Trade and Climate Change Financing Mechanisms Aid for Trade and Climate Change Financing Mechanisms Jump to: navigation, search Tool Summary Name: Aid for Trade and Climate Change Financing Mechanisms: Best Practices and Lessons Learned for LDCs and SVEs in Africa Agency/Company /Organization: International Centre for Trade and Sustainable Development Sector: Energy, Land Topics: Finance, Implementation Resource Type: Publications, Lessons learned/best practices Website: ictsd.org/downloads/2010/03/aft-and-climate-change-financing-mechanism UN Region: "Sub-Saharan Africa" is not in the list of possible values (Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa, Caribbean, Central America, South America, Northern America, Central Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Western Asia, Eastern Europe, Northern Europe, Southern Europe, Western Europe, Australia and New Zealand, Melanesia, Micronesia, Polynesia, Latin America and the Caribbean) for this property.

104

Mechanical & Biomedical Engineering  

E-Print Network (OSTI)

Mechanical & Biomedical Engineering Department BACHELOR OF SCIENCE IN MECHANICAL ENGINEERING COURSE 105 Mechanical Engineering Graphics 3 CHEM 111L College Chemistry Lab (DLN) 1 ENGL 102 English PHYS 211 Mechanics, Waves & Heat (DLN) 4 UF 100 Intellectual Foundations 3 PHYS 211L Mechanics, Waves

Barrash, Warren

105

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

106

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

107

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

108

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

109

Cybersecurity Online Learning (COL) | Department of Energy  

Energy Savers (EERE)

with a .mil or .gov address. The Cybersecurity Online Learning (COL) is a free web-based, online learning program offering both live and recorded cybersecurity training...

110

Mechanical Engineering Graduate Student  

E-Print Network (OSTI)

......................................................................................9 Engineering Career Services ................................................................9 McMechanical Engineering Graduate Student Handbook January 2014 Department of Mechanical Engineering University of Wisconsin-Madison #12;Mechanical Engineering Web Page: http://www.engr.wisc.edu/me Graduate

Wisconsin at Madison, University of

111

Mechanical & Industrial Engineering  

E-Print Network (OSTI)

Mechanical & Industrial Engineering 1 Welcome MIE Industrial Advisory Board October 15, 2010 #12;Mechanical & Industrial Engineering 2 MIE Dorothy Adams Undergraduate/Graduate Secretary David Schmidt Associate Professor & Graduate Program Director #12;Mechanical & Industrial Engineering 3 MIE James Rinderle

Mountziaris, T. J.

112

MECHANICAL ENGINEERING UNDERGRADUATE MAJOR  

E-Print Network (OSTI)

HANDBOOK FOR MECHANICAL ENGINEERING UNDERGRADUATE MAJOR Old Dominion University Department of Mechanical Engineering Batten College of Engineering and Technology Norfolk, Virginia 23529-0247 #12;TABLE OF CONTENTS MECHANICAL ENGINEERING HANDBOOK

113

Mechanical engineering Department Seminar  

E-Print Network (OSTI)

Mechanical engineering Department Seminar Katia Bertoldi Harvard University Soft materials in response to diverse stimuli. While the mechanical attributes - such as energy absorption, stiffness and switchable functionalities. Katia Bertoldi is an Assistant Professor of Applied Mechanics at Harvard

114

Monroe Thomas, Mechanical Technician  

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

Monroe Thomas, Mechanical Technician Print The weekend before the ALS was scheduled to start up again after the most recent shutdown, mechanical technician Monroe Thomas kept...

115

Learning About Saving Energy  

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

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

116

Mechanical & Industrial Engineering  

E-Print Network (OSTI)

Mechanical & Industrial Engineering 1 Welcome MIE Industrial Advisory Board May 5th, 2011 #12;Mechanical & Industrial Engineering 2 IAB 2010-2011 · David K. Anderson ­ Alden Research Laboratory, Inc went on for three weeks Mechanical & Industrial Engineering 6 #12;Reza Shahbazian Yassar Mechanical

Mountziaris, T. J.

117

Career Map: Mechanical Engineer  

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

The Wind Program's Career Map provides job description information for Mechanical Engineer positions.

118

Mechanical Engineering Undergraduate  

E-Print Network (OSTI)

Mechanical Engineering Department Undergraduate Advising Manual for Bachelor of Science Degrees in Mechanical Engineering and Engineering Mechanics 2011-2012 - Updated April 15, 2012 #12;Johns Hopkins University ­ Department of Mechanical Engineering 2011-2012 Undergraduate Student Advising Manual Page 2

Ghosh, Somnath

119

Mechanical engineering Department Seminar  

E-Print Network (OSTI)

Mechanical engineering Department Seminar James Bird Department of Mechanical Engineering Boston ­ are discussed. James Bird is an Assistant Professor in the Mechanical Engineering Department at Boston completed post-doctoral research at MIT. His research interests include experimental fluid mechanics

120

Mechanical Engineering Undergraduate  

E-Print Network (OSTI)

Mechanical Engineering Department Undergraduate Advising Manual for Bachelor of Science Degrees in Mechanical Engineering and Engineering Mechanics 2012-2013 - Updated July 14, 2013 #12;Johns Hopkins University ­ Department of Mechanical Engineering 2012-2013 Undergraduate Student Advising Manual Page 2

Ghosh, Somnath

Note: This page contains sample records for the topic "undp-adaptation learning mechanism" 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

Mechanical Engineering & Thermal Group  

E-Print Network (OSTI)

Mechanical Engineering & Thermal Group The Mechanical Engineering (ME) & Thermal Group at LASP has, and ground- based mechanical systems. Instrument Design Building on decades of design experience that has evolved with the complexity of instrument design demands, LASP mechanical engineers develop advanced

Mojzsis, Stephen J.

122

LESSONS LEARNED LEARNED LESSONS N E P A  

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

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

123

St. Louis FUSRAP Lessons Learned  

SciTech Connect

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

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

2003-02-26T23:59:59.000Z

124

Nueva School Hillside Learning Complex  

Hillsborough, CA Founded in 1967, the Nueva School is a private K-8 school serving 370 students. The school's mission is to inspire passion for lifelong learning, foster social acuity, and develop each child's imaginative mind, enabling students to learn how to make choices that will benefit the world. The Hillside Learning Complex includes three buildings-a library and media center, a student center, and a classroom building with administrative offices, seven classrooms, and an R&D lab-which are organized around a central plaza. The classroom building serves only the fifth through eighth grades.

125

Combined Quantum Mechanical and Molecular Mechanics Studies of...  

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

Mechanical and Molecular Mechanics Studies of the Electron-Transfer Reactions Involving Carbon Tetrachloride in Combined Quantum Mechanical and Molecular Mechanics Studies of the...

126

Utility Energy Service Contracts - Lessons Learned  

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

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

127

STUDENT LEARNING COMMONS PLANNING 2007-2010  

E-Print Network (OSTI)

STUDENT LEARNING COMMONS PLANNING 2007-2010 Elaine Fairey, Director, Student Learning Commons Lynn delivery 4. Space 5. Internal relations 6. External relations Introduction The Student Learning Commons (SLC) was created in response to the report on Student Learning Support Services (October 2004

128

Student Learning Commons Questions & Answers for Faculty  

E-Print Network (OSTI)

Student Learning Commons Questions & Answers for Faculty What is the SFU Student Learning Commons? The Student Learning Commons (SLC), is an academic learning centre which provides peer-based assistance with library reference, computer assistance, and other student academic support services. SLC programs

129

Optimization Algorithms in Machine Learning Stephen Wright  

E-Print Network (OSTI)

Optimization Algorithms in Machine Learning Stephen Wright University of Wisconsin-Madison NIPS Tutorial, 6 Dec 2010 Stephen Wright (UW-Madison) Optimization in Machine Learning NIPS Tutorial, 6 Dec 2010 in machine learning. Stephen Wright (UW-Madison) Optimization in Machine Learning NIPS Tutorial, 6 Dec 2010 2

Wright, Steve

130

Utility Energy Service Contracts - Lessons Learned  

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

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

131

Individual differences in gameplay and learning: a narrative-centered learning perspective  

Science Journals Connector (OSTI)

Narrative-centered learning environments are an important class of educational games that situate learning within rich story contexts. The work presented in this paper investigates individual differences in gameplay and learning during student interactions ... Keywords: empirical evaluation, engagement, game-based learning, narrative-centered learning environments

Jonathan P. Rowe; Lucy R. Shores; Bradford W. Mott; James C. Lester

2010-06-01T23:59:59.000Z

132

Learning How to Learn Lean Construction Concepts and Principles Proceedings IGLC-7 411  

E-Print Network (OSTI)

on adult education and organizational learning. Some approaches to improve learning processes on Lean organizational learning, and experimentation with action and reflection on action. KEY WORDS Concepts, lean construction, learning, organizational learning. 1 MSc, Senior Lecturer at Universidade Estadual de Londrina

Tommelein, Iris D.

133

Gameful learning as a way of being  

Science Journals Connector (OSTI)

As a variation on game-based learning, we propose the concept of 'gameful learning' as a framework that encourages improvisation, playfulness, and social interaction, and which takes into account the unique contingencies of individual people and specific content. We describe gameful learning in terms of three elements: attitude, identity, and ignorance. Three cases of gameful learning are examined across diverse learning environments: a fourth grade science class studying matter, a secondary world history class studying the Middle Ages, and an educational technology graduate programme. Cross-case analysis reveals how gameful learning elements relate to attitudes of agency and social necessity, becoming a game designer, and embracing ignorance for learning.

Jeremiah I. Holden; Jeff Kupperman; Aviva Dorfman; Tim Saunders; Amanda Pratt; Pagan MacKay

2014-01-01T23:59:59.000Z

134

Lessons Learned Quarterly Report | Department of Energy  

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

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

135

Lessons Learned Database | Department of Energy  

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

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

136

Sandia National Laboratories: Mechanical Testing  

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

EnergyNuclear Energy Systems Laboratory (NESL) Brayton LabMechanical Testing Mechanical Testing Mechanical Testing Overview Mechanical 1-2 (2008). Standard Test Methods for...

137

Lessons Learned | Department of Energy  

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

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

138

: Computer Aided Learning in Computer  

E-Print Network (OSTI)

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

Milenkovi, Aleksandar

139

NEPA Lessons Learned, September 2005  

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

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

140

Ways to Help Children Learn  

E-Print Network (OSTI)

that fail. If you say, ?I?ve told you a thousand times,? try a new method. a73 Set a bad example. If you slap children, that?s what they learn. a73 Offer a choice if there really is not one. a73 Expect children to sit for long periods of time. a73 Ignore... your children. a73 Expect too much. E-134 12-01 Ways to Help Children Learn ...

Warren, Judith L.

2002-01-04T23:59:59.000Z

Note: This page contains sample records for the topic "undp-adaptation learning mechanism" 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

NSLS Mechanical Tech  

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

Mechanical Tech Mechanical Tech The Mechanical Technician group is supervised by Robert Scheuerer and consists of Mechanical Technicians with fabrication/machining, assembly, installation, and alignment/surveying skills. This group also serves as an interface to Central Fabrication Services when more complex or larger fabrication efforts are needed. The Mechanical Tech group is responsible for fabricating, installing, aligning, and troubleshooting the mechanical hardware used on NSLS and SDL accelerators, front ends, and User beamlines, often starting solely from Mechanical Design group drawings or CAD files. The Mechanical Tech Group is responsible for the fabrication, assembly and installation of components at the NSLS. These components include all mechanical assemblies and RF cavities. Another part of their job is to

142

Learning with invisible others: Perceptions of online presence and their relationship to cognitive and affective learning  

E-Print Network (OSTI)

Russo, T., & Benson, S. (2005). Learning with Invisible Others: Perceptions of Online Presence and their Relationship to Cognitive and Affective Learning, Educational Technology & Society, 8 (1), 54-62. Learning with Invisible Others...

Russo, Tracy; Benson, Spencer

2005-01-01T23:59:59.000Z

143

DOE Chief Learning Officer's and DVU Program Manager's Birthday...  

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

Chief Learning Officer's and DVU Program Manager's Birthday memos DOE Chief Learning Officer's and DVU Program Manager's Birthday memos DOE Chief Learning Officer's DVU Birthday...

144

Better Buildings Residential Network: Lessons Learned: Peer Exchange...  

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

Network: Lessons Learned: Peer Exchange Calls Better Buildings Residential Network: Lessons Learned: Peer Exchange Calls Better Buildings Residential Network: Lessons Learned: Peer...

145

Programmable Mechanical Metamaterials  

E-Print Network (OSTI)

We create mechanical metamaterials whose response to uniaxial compression can be programmed by lateral confinement, allowing monotonic, non-monotonic and hysteretic behavior. These functionalities arise from a broken rotational symmetry which causes highly nonlinear coupling of deformations along the two primary axes of these metamaterials. We introduce a soft mechanism model which captures the programmable mechanics, and outline a general design strategy for confined mechanical metamaterials. Finally, we show how inhomogeneous confinement can be explored to create multi stability and giant hysteresis.

Bastiaan Florijn; Corentin Coulais; Martin van Hecke

2014-07-17T23:59:59.000Z

146

Mechanical & Industrial Engineering  

E-Print Network (OSTI)

Mechanical & Industrial Engineering Mario A. Rotea Professor and Department Head #12;2Mechanical & Industrial Engineering Outline · Undergraduate Degree Programs · Graduate Degree Programs · The Faculty · The Research · Summary #12;3Mechanical & Industrial Engineering Undergraduate Programs ­ BSME & BSIE 0 20 40 60

Mountziaris, T. J.

147

Mechanical engineering Department Seminar  

E-Print Network (OSTI)

Mechanical engineering Department Seminar Shuodao Wang Postdoctoral Fellow University of Illinois, Urbana-Champaign Mechanical Design and Fabrication Techniques for Bio-Electronic Systems 11:00 AM Friday that bridge this gap in mechanics and form will create new opportunities in bio-inspired and bio

Lin, Xi

148

Mechanical and Aerospace Engineering  

E-Print Network (OSTI)

Mechanical and Aerospace Engineering Abstract Solid materials used in energy conversion and storage that couples the mechanical and chemical (or electrochemical) fields in solids via the use of stress-chemo- mechanical theory, two examples of practical interest will be discussed, namely, solid oxide fuel cells

149

Mechanical engineering Department Seminar  

E-Print Network (OSTI)

Mechanical engineering Department Seminar Maureen Lynch Postdoctoral Fellow Cornell University Mechanical Loading Decreases Osteolysis and Tumor Formation via Effects on Bone Remodeling 11:00 AM Friday to mechanical stimuli in the skeleton, yet the role of biomechanical loading remains poorly characterized

Lin, Xi

150

Victor Yakhot Mechanical Engineering  

E-Print Network (OSTI)

to flows of strongly non-linear fluids relevant for mechanical engineering, polymers and bio-fluid dynamicsVictor Yakhot Mechanical Engineering UniversalReynoldsNumberofTransition,Renormalizationand Mechanical Engineering 11 AM Friday, October 31st Room 245, 110 Cummington Mall Refreshments served at 10

Lin, Xi

151

Learning and Development | Department of Energy  

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

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

152

Lessons Learned from Safety Events  

SciTech Connect

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

Weiner, Steven C.; Fassbender, Linda L.

2012-11-01T23:59:59.000Z

153

Team learning center design principles  

SciTech Connect

This is a preliminary report of a multi-year collaboration of the authors addressing the subject: Can a facility be designed for team learning and would it improve the efficiency and effectiveness of team interactions? Team learning in this context is a broad definition that covers all activities where small to large groups of people come together to work, to learn, and to share through team activities. Multimedia, networking, such as World Wide Web and other tools, are greatly enhancing the capability of individual learning. This paper addresses the application of technology and design to facilitate group or team learning. Many organizational meetings need tens of people to come together to do work as a large group and then divide into smaller subgroups of five to ten to work and then to return and report and interact with the larger group. Current facilities were not, in general, designed for this type of meeting. Problems with current facilities are defined and a preliminary design solution to many of the identified problems is presented.

Daily, B.; Loveland, J.; Whatley, A. [New Mexico State Univ., Las Cruces, NM (United States)] [and others

1995-06-01T23:59:59.000Z

154

Mechanical seal assembly  

DOE Patents (OSTI)

An improved mechanical seal assembly is provided for sealing rotating shafts with respect to their shaft housings, wherein the rotating shafts are subject to substantial axial vibrations. The mechanical seal assembly generally includes a rotating sealing ring fixed to the shaft, a non-rotating sealing ring adjacent to and in close contact with the rotating sealing ring for forming an annular seal about the shaft, and a mechanical diode element that applies a biasing force to the non-rotating sealing ring by means of hemispherical joint. The alignment of the mechanical diode with respect to the sealing rings is maintained by a series of linear bearings positioned axially along a desired length of the mechanical diode. Alternative embodiments include mechanical or hydraulic amplification components for amplifying axial displacement of the non-rotating sealing ring and transferring it to the mechanical diode.

Kotlyar, Oleg M. (Salt Lake City, UT)

2001-01-01T23:59:59.000Z

155

Mechanical seal assembly  

DOE Patents (OSTI)

An improved mechanical seal assembly is provided for sealing rotating shafts with respect to their shaft housings, wherein the rotating shafts are subject to substantial axial vibrations. The mechanical seal assembly generally includes a rotating sealing ring fixed to the shaft, a non-rotating sealing ring adjacent to and in close contact with the rotating sealing ring for forming an annular seal about the shaft, and a mechanical diode element that applies a biasing force to the non-rotating sealing ring by means of hemispherical joint. The alignment of the mechanical diode with respect to the sealing rings is maintained by a series of linear bearings positioned axially along a desired length of the mechanical diode. Alternative embodiments include mechanical or hydraulic amplification components for amplifying axial displacement of the non-rotating sealing ring and transfering it to the mechanical diode.

Kotlyar, Oleg M. (Salt Lake City, UT)

2002-01-01T23:59:59.000Z

156

Knowledge management and learning in the organizational context  

E-Print Network (OSTI)

63 Knowledge management and learning in the organizational context Albena Antonova, Elissaveta and explicit knowledge, considers organizational learning and knowledge workers specifics. In the centre management, learning, organizational learning 1. THE KNOWLEDGE DIMENSIONS The concepts and nature

Paris-Sud XI, Université de

157

Interactions between learning and decision making  

E-Print Network (OSTI)

We quantify the effects of learning and decision making on each other in three parts. In the first part, we look at how knowledge about decision making can influence learning. Let the decision cost be the amount spent by ...

Tulabandhula, Theja

2014-01-01T23:59:59.000Z

158

Integrated Biorefinery Lessons Learned and Best Practices  

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

Breakout Session 1D—Building Market Confidence and Understanding I: Integrated Biorefinery (Lessons Learned and Best Practices) Integrated Biorefinery Lessons Learned and Best Practices Glenn Doyle, Technology Manager, Bioenergy Technologies Office, U.S. Department of Energy

159

DOE Lessons Learned | Department of Energy  

Office of Environmental Management (EM)

All DOE sites are encouraged to provide their Lessons Learned to the DOE Community via a Web-based form available on the DOE Lessons Learned database registration page. NOTE:...

160

Learning strategies and performance in organizational teams  

E-Print Network (OSTI)

(cont.) shows that vicarious learning is positively associated with performance. I argue that vicarious team learning is an under-explored dimension of what makes teams and organizations competitive. The chapter concludes ...

Bresman, Henrik M

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "undp-adaptation learning mechanism" 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

The segmentation problem in morphology learning Christopher D. Manning  

E-Print Network (OSTI)

learning Christopher D. Manning (1998) The segmentation problem in morphology learning. In D.M.W. Powers

162

Distributed Learning versus Information Sharing in the Smart Grid: A Learning Game Approach  

E-Print Network (OSTI)

Distributed Learning versus Information Sharing in the Smart Grid: A Learning Game Approach Hélène.bedo@orange.com Abstract In this article, the smart grid is modeled as a decentralized and hierarchical network, made: Distributed Learning; Information; Regret; Learning Game Theory 1 Introduction Smart grids are networks

163

Jordan Thayer (UNH) Learning During Search 1 / 20 Learning Inadmissible Heuristics During Search  

E-Print Network (OSTI)

Jordan Thayer (UNH) Learning During Search ­ 1 / 20 Learning Inadmissible Heuristics During Search Jordan Thayer, Austin Dionne, and Wheeler Ruml jtd7, ajv2, ruml at cs.unh.edu With thanks to NSF Grant s Motivation Learning Performance Conclusions Backup Slides Jordan Thayer (UNH) Learning During Search ­ 2 / 20

Ruml, Wheeler

164

TACTIC-BASED LEARNING FOR COLLECTIVE LEARNING SYSTEMS by Alice Armstrong  

E-Print Network (OSTI)

TACTIC-BASED LEARNING FOR COLLECTIVE LEARNING SYSTEMS by Alice Armstrong Master of Science, August Science of The George Washington University certifies that Alice Armstrong has passed the Final of the dissertation. TACTIC-BASED LEARNING FOR COLLECTIVE LEARNING SYSTEMS Alice Armstrong Dissertation Research

Armstrong, Alice

165

Learning about social threats in RS Learning biases underlying individual differences in sensitivity to social rejection  

E-Print Network (OSTI)

Learning about social threats in RS 1 Learning biases underlying individual differences. Ochsner, Department of Psychology, Columbia University Running Head: Learning about social threats in RS University, Northwest Science Bldg 290, Cambridge, MA 0213. #12;Learning about social threats in RS 2

Ochsner, Kevin

166

May 21, 2011LON-CAPA Conference: VCU ILEM -Integrated Learning  

E-Print Network (OSTI)

to Problem Solving (MAPS). · Students learn how to plan for solving problems in Mechanics. · Start of 2-3 students working on white boards. · First implemented in a short ReView for students who failed the fall course #12;May 21, 2011LON-CAPA Conference: VCU Performance · More than 1 standard deviations

167

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

168

EM Recovery Act Lessons Learned (Olinger)  

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

Presentation slides from EM ARRA Best Practices and Lessons Learned WorkshopWaste Management SymposiumPhoenix, AZMarch 1, 2012.

169

Webinar: National Hydrogen Learning Demonstration Status  

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

Video recording and text version of the webinar, "National Hydrogen Learning Demonstration Status," originally presented on February 6, 2012.

170

EM Recovery Act Lessons Learned (Johnson)  

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

Presentation slides from EM ARRA Best Practices and Lessons Learned WorkshopWaste Management SymposiumPhoenix, AZMarch 1, 2012.

171

EM Recovery Act Lessons Learned (Sites)  

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

Presentation slides from EM ARRA Best Practices and Lessons Learned WorkshopWaste Management SymposiumPhoenix, AZMarch 1, 2012.

172

Machine Learning ! ! ! ! ! Srihari Ising Models, Boltzmann  

E-Print Network (OSTI)

Machine Learning ! ! ! ! ! Srihari 1 Ising Models, Boltzmann Machines, Deep Belief Networks Sargur Srihari srihari@cedar.buffalo.edu #12;Machine Learning ! ! ! ! ! Srihari Topics · Ising Model · Boltzmann · Metric MRF 2 #12;Machine Learning ! ! ! ! ! Srihari Ising Model · Earliest Markov network model

173

Online learning processes artificial neural networks  

E-Print Network (OSTI)

On­line learning processes in artificial neural networks Tom M. Heskes Bert Kappen Department, The Netherlands. Abstract We study on­line learning processes in artificial neural networks from a general point. Elsevier, pages 199-- 233. #12; On­line learning processes in artificial neural networks 1 1 Introduction 1

Heskes, Tom

174

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

175

Title of Document | 1 UC Learning Center  

E-Print Network (OSTI)

Title of Document | 1 UC Learning Center Table of Contents Introduction to the UC Learning Center ......................................................................................................................................19 #12;Title of Document | 2 Last updated 6/30/10 Introduction to the UC Learning Center The UC. It is recommended that only supported browsers be used for eCourses to ensure proper tracking of completions. Plug

Gleeson, Joseph G.

176

Learning Object Behaviour Models Neil Johnson  

E-Print Network (OSTI)

Learning Object Behaviour Models by Neil Johnson Submitted in accordance with the requirements in the following articles: N. Johnson and D. Hogg. ``Learning the Distribution of Object Trajectories for Event 1995. N. Johnson and D. Hogg. ``Learning the distribution of object trajectories for event recognition

Hogg, David

177

Mechanical Properties of Nanocrystal Supercrystals  

E-Print Network (OSTI)

and Its Impact on Mechanical Properties. MacromoleculesO. L. ; Minor, A. M. , Mechanical annealing and source-Mechanical Properties of Nanocrystal Supercrystals Enrico

Tam, Enrico

2010-01-01T23:59:59.000Z

178

Mechanics of Funding matrix  

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

FUNDING MECHANISMS FUNDING MECHANISMS Funding Mechanism Advantages Disadvantages Comments 1. From Doe to regional organizations * * Facilitates a broad, regional approach to planning and implementation that enhances consistency and uniformity * * Especially beneficial for new programs where early planning is needed * * Simplifies communication for DOE to have only one point of contact for information and discussion * * Cooperative agreement mechanism has proven relatively simple to administer * * Approach would require modification for Tribes * * Would also require that funding be provided to individual States to enable them to participate in the process, since planning authority and responsibility rests with the individual State * * Differs from OCRWM approach to 180(c) funding * * Introduces another layer of

179

Technology Partnering Mechanisms  

NLE Websites -- All DOE Office Websites (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...

180

Learning and Evolution Stefano Nolfi*  

E-Print Network (OSTI)

tools employed by evolutionary biology and biology in general. From an engineering point of view variability. Learning, instead, is a set of modifications taking place within each single individual during lifetime, such as physical development, neural maturation, and synaptic plasticity. Finally, whereas

Cottrell, Garrison W.

Note: This page contains sample records for the topic "undp-adaptation learning mechanism" 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

LEARN TO EAT COUNSELLING AND  

E-Print Network (OSTI)

LEARN TO EAT HEALTHILY COUNSELLING AND PSYCHOLOGICAL SERVICES (CAPS) #12;Eating healthily much caffeine (coffee, energy drinks) ­ Eating foods with poor nutritional value (sugary, high and energy drinks, can also have a negative effect on mental performance and productivity, as well as have

Viglas, Anastasios

182

Student Learning Outcomes College: Engineering  

E-Print Network (OSTI)

Student Learning Outcomes College: Engineering Department: Electrical and Computer Engineering Degree Program: Bachelor of Science in Computer Engineering 1) Students will have the ability to apply knowledge of mathematics, science, and engineering. 2) Students will have the ability to design and conduct

Raja, Anita

183

Student Learning Outcomes College: Engineering  

E-Print Network (OSTI)

Student Learning Outcomes College: Engineering Department: Electrical and Computer Engineering Degree Program: Bachelor of Science in Electrical Engineering 1) Students will have the ability to apply knowledge of mathematics, science, and engineering. 2) Students will have the ability to design and conduct

Raja, Anita

184

Cognitive Effects of Multimedia Learning  

E-Print Network (OSTI)

. Inclusion of the names of the products or companies does not indicate a claim of ownership by IGI Global be performed on either physical or virtual manipulatives, but virtual manipu- latives exist in idealized provide illustrations. INTRODUCTION In his preface to The Cambridge Handbook of Multimedia Learning Mayer

Gallo, Linda C.

185

Learning Windows Ibraheem A. Alhashim  

E-Print Network (OSTI)

. They suggest using a trainable classifier to learn a distance function that improves their fitting procedure. However, they do not implement such classifier and relay on a heuristic derived from their experimentation to ground truth of 744 windows from 40 test images. We will use a subset of the database they used for our

Zhang, Richard "Hao"

186

Field observations and lessons learned  

SciTech Connect

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

Nielsen, Joh B [Los Alamos National Laboratory

2010-01-01T23:59:59.000Z

187

Cognitive Neuroscience Learning and Memory  

E-Print Network (OSTI)

1 Slide 1 Cognitive Neuroscience PSYC 685 Learning and Memory Raja Parasuraman WorkingWorking MemoryMemory SelectiveSelective AttentionAttention Slide 2 Overview Short term, working, and long-term memory The medial temporal lobe/prefrontal cortex memory system Amnesia Implicit memory Slide 3

Parasuraman, Raja

188

Boston University Department of Mechanical Engineering ME 303 Fluid Mechanics  

E-Print Network (OSTI)

Boston University Department of Mechanical Engineering ME 303 ­ Fluid Mechanics Fall 2011 Class: EK301 Engineering Mechanics Course Textbook: Fundamentals of Fluid Mechanics, 6th ed., Munson B. Reference Texts: Fluid Mechanics, Landau and Lifshitz, Vol. 6 Fluid Mechanics, Y. Cengel and J. Cimbala

189

Mechanical & Aerospace Engineering  

E-Print Network (OSTI)

, and nuclear energy. She is a member of the American Society of Mechanical Engineers (ASME), Fluids EngineeringMechanical & Aerospace Engineering Interfacial flows are multi-material flows comprised of two of the interface between the fluids and the interface physics (like surface tension) needs to be predicted as part

190

MECHANICAL ENGINEERING Program of Study  

E-Print Network (OSTI)

MECHANICAL ENGINEERING Program of Study Correspondence The Department of Mechanical Engineering offers graduate programs in the fields of thermal science and engineering mechanics. Current areas of research activity include Biomedical Engineering, Biomimetics, Composite Materials, Computational Mechanics

Thomas, Andrew

191

Integrated Mechanical & Electrical Engineering (IMEE)  

E-Print Network (OSTI)

Integrated Mechanical & Electrical Engineering (IMEE) Department of Electronic & Electrical Engineering and Department of Mechanical Engineering #12;Graduates able to work in both mechanical of Mechanical Engineers (IMechE) n Develop essential engineering skills through extensive project work n Enhance

Burton, Geoffrey R.

192

Mechanical code comparator  

DOE Patents (OSTI)

A new class of mechanical code comparators is described which have broad potential for application in safety, surety, and security applications. These devices can be implemented as micro-scale electromechanical systems that isolate a secure or otherwise controlled device until an access code is entered. This access code is converted into a series of mechanical inputs to the mechanical code comparator, which compares the access code to a pre-input combination, entered previously into the mechanical code comparator by an operator at the system security control point. These devices provide extremely high levels of robust security. Being totally mechanical in operation, an access control system properly based on such devices cannot be circumvented by software attack alone.

Peter, Frank J. (Albuquerque, NM); Dalton, Larry J. (Bernalillo, NM); Plummer, David W. (Albuquerque, NM)

2002-01-01T23:59:59.000Z

193

Stakeholder Engagement and Outreach: Lessons Learned  

Wind Powering America (EERE)

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

194

A Collaborative-learning Support Function to Harness Organizational Intellectual Synergy  

E-Print Network (OSTI)

A Collaborative-learning Support Function to Harness Organizational Intellectual Synergy Hiroyuki of organizational activities. Then, it roughly outlines Kfarm while focusing on collaborative learning support, workplace learning, life-long learning, organizational learning, collaborative learning and so on, refer

Mizoguchi, Riichiro

195

Successful Project Financing Mechanisms: ESPCs and UESCs Webinar |  

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

Successful Project Financing Mechanisms: ESPCs and UESCs Webinar Successful Project Financing Mechanisms: ESPCs and UESCs Webinar Successful Project Financing Mechanisms: ESPCs and UESCs Webinar September 24, 2014 11:00AM MDT The attendees will learn about two popular mechanisms developed for Federal agencies to finance renewable energy and energy efficiency projects, Energy savings performance contracts (ESPCs) and utility energy service contracts (UESCs). The discussion includes how these two methods allow Tribes to develop the projects with limited to no up-front capital costs, thus minimizing the need for including the project costs in budgets or requesting Congressional appropriations for them. The speakers will also identify best implementation practices developed over nearly 15 years and hundreds of projects. There is no cost to attend the webinar, but advance

196

Event:WBI-Clean Development Mechanism Programme of Activities: Challenges  

Open Energy Info (EERE)

WBI-Clean Development Mechanism Programme of Activities: Challenges WBI-Clean Development Mechanism Programme of Activities: Challenges and Opportunities Jump to: navigation, search Calendar.png WBI-Clean Development Mechanism Programme of Activities: Challenges and Opportunities: on 2011/11/07 "Learning objectives: Understand the rationale for developing PoAs Understand the rules, structure and program development cycle Understand the key roles and responsibilities of the coordinating / managing entity (CME) Identify suitable business models for PoA implementation across different sectors Examine possible financing opportunities for PoAs Course Delivery Dates: November 7th -18th, 2011 " Event Details Name WBI-Clean Development Mechanism Programme of Activities: Challenges and Opportunities Date 2011/11/07 Location Online

197

Rotary mechanical latch  

DOE Patents (OSTI)

A rotary mechanical latch for positive latching and unlatching of a rotary device with a latchable rotating assembly having a latching gear that can be driven to latched and unlatched states by a drive mechanism such as an electric motor. A cam arm affixed to the latching gear interfaces with leading and trailing latch cams affixed to a flange within the drive mechanism. The interaction of the cam arm with leading and trailing latch cams prevents rotation of the rotating assembly by external forces such as those due to vibration or tampering.

Spletzer, Barry L.; Martinez, Michael A.; Marron, Lisa C.

2012-11-13T23:59:59.000Z

198

Learn Gapminder | Open Energy Information  

Open Energy Info (EERE)

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

199

NEPA Lessons Learned, June 2004  

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

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

200

Educational Programs Learning Lab Activities  

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

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

Note: This page contains sample records for the topic "undp-adaptation learning mechanism" 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

What China Can Learn from  

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

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

202

Quality Assurance Lessons Learned 2010  

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

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

203

Lessons learned from RTG programs  

SciTech Connect

During the Cassini Radioisotope Thermoelectric Generator (RTG) program, the heritage RTG design was reviewed and modified to incorporate lessons learned. Design changes were made both to resolve problems as they occurred and to correct difficulties noted in earlier missions. Topics addressed in this paper included problems experienced previously at the launch facility in attaching the pressure relief device to the generators, and the open circuit conditions that occurred at times in the resistance temperature device wiring harness. Also discussed is a problem caused by mistakes in software configuration management. How lessons learned refined the RTG design and integration with the spacecraft are discussed and the adopted solutions are described. {copyright} {ital 1998 Lockheed Martin Missles and Space, reproduced with permission.}

Reinstrom, R.M.; Cockfield, R.D. [Lockheed Martin Missiles and Space, P.O. Box 8555, Philadelphia, Pennsylvania 19101 (United States)

1998-01-01T23:59:59.000Z

204

Counter Current Multiplier Mechanism  

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

Counter Current Multiplier Mechanism Counter Current Multiplier Mechanism Name: Stephen Location: N/A Country: N/A Date: N/A Question: Can you please explain to me the counter-current multiplier mechanism. I understand that cholride and sodium ions are filtered out of the ascending loop of Henle into the interstial fluid, however, I'm not sure exactly what happens from there and how this effects osmotic pressure gradients in the nephron. Any help would be greatly appriciated. Replies: This mechanism is very complex when it comes to writing a response. You have to have a strong background in osmotic pressure understanding and the anatomy of the kidney. It involves the cortex, outer and inner medula in relationship to the vasa recta, interstitial fluids at two points, the loop of Henle and the collecting duct. The size of the tubes and the position in relations to the cortex and medulla is an essential part. I can suggest some references.

205

Contaminant-Generation Mechanisms  

Science Journals Connector (OSTI)

In the last chapter, the areas where contaminants are generated were discussed. Knowing the location of contaminant generation is helpful in controlling that contamination, but understanding the mechanisms is ...

Alvin Lieberman

1992-01-01T23:59:59.000Z

206

Mechanical & Aerospace Engineering  

E-Print Network (OSTI)

Mechanical & Aerospace Engineering This presentation will address the development and transition of advanced structural health management (SHM) technologies from the perspective of understanding and the importance of understanding this role to increase the likelihood for transition of new technologies

207

Mechanical engineering Department Seminar  

E-Print Network (OSTI)

people trained from both perspectives can result in innovative solutions. At Fraunhofer CMI ­ coMechanical engineering Department Seminar Alexis Sauer-Budge Senior Research Scientist, Fraunhofer CMI Adjunct Research Assistant Professor, BME, Boston University Innovations at the intersection

208

Syngas Oxidation Mechanism  

Science Journals Connector (OSTI)

A comprehensive analysis of synthesis gas (syngas) oxidation kinetics in wide ranges of temperature ... on the basis of the reaction mechanism of syngas ignition and combustion in air. A vast set of experimental ...

A. M. Starik; N. S. Titova; A. S. Sharipov…

2010-09-01T23:59:59.000Z

209

Mechanical Compression Heat Pumps  

E-Print Network (OSTI)

MECHANICAL COMPRESSION HEAT PUMPS Thomas-L. Apaloo and K. Kawamura Mycom Corporation, Los Angeles, California J. Matsuda, Mayekawa Mfg. Co., Tokyo, Japan ABSTRACT Mechanical compression heat pumping is not new in industrial applications.... In fact, industry history suggests that the theoretical concept was developed before 1825. Heat pump manufacturers gained the support of consultants and end-users when the energy crisis hit this country in 1973. That interest, today, has been...

Apaloo, T. L.; Kawamura, K.; Matsuda, J.

210

Mechanical Engineering Is Mechanical Engineering right for me?  

E-Print Network (OSTI)

Mechanical Engineering Is Mechanical Engineering right for me? If you are interested in the wide range of principles related to mechanical systems then Mechanical Engineering is well suited to you. A Mechanical Engineering degree programme will focus on aspects such as analysis, design, manufacture

Harman, Neal.A.

211

4 - Universal Design of learning spaces  

Science Journals Connector (OSTI)

Abstract: This chapter explores the concept of Universal Design with respect to learning spaces: effective library design, construction and renovation within the context of understanding how we learn, create and apply new knowledge. The changing nature of the iCommons within learning space design is the “new normal,” providing a deeper understanding of the impact of physical environments on teaching and learning. The successful project combines the design of both group and individual study spaces along with innovative cost- effective solutions. Current trends in information literacy and general classroom design focus on flexibility in meeting the various learning styles of students. By exploring the evolving iCommons concept, driven by curricula, assessment strategies and research, information learning spaces can be designed to be used to their fullest potential.

Gail M. Staines

2012-01-01T23:59:59.000Z

212

Is Machine Learning the Wrong Name? Xiaojin Zhu  

E-Print Network (OSTI)

Is Machine Learning the Wrong Name? Xiaojin Zhu Department of Computer Sciences University of Wisconsin-Madison October 2010 (University of Wisconsin) Is Machine Learning the Wrong Name? 1 / 33 #12;Iris Learns "Cow" (University of Wisconsin) Is Machine Learning the Wrong Name? 2 / 33 #12;Iris Learns "Cow

Zhu, Xiaojin "Jerry"

213

STUDENT LEARNING COMMONS Annual Report 2007/08  

E-Print Network (OSTI)

STUDENT LEARNING COMMONS Annual Report 2007/08 Elaine Fairey, Director, Student Learning Commons ______________________________________________________________________________________ Introduction The Student Learning Commons (SLC) is an academic learning centre with the mandate to assist and support students in their academic pursuits, with a focus on providing writing and learning support

214

Gerhard Fischer 1 ICCE99 Lifelong Learning: Changing Mindsets  

E-Print Network (OSTI)

- directed learning, (2) learning on demand, (3) informal learning, and (4) collaborative and organizational lifelong learning an important part of human life, new intellectual spaces, physical spaces, organizationalGerhard Fischer 1 ICCE99 Lifelong Learning: Changing Mindsets Gerhard Fischer Center for Life

Fischer, Gerhard

215

Leading for learning : behavioral, educational, and methodological perspectives on multicultural team learning processes  

E-Print Network (OSTI)

This study starts from the notion that leadership is about mobilizing learning, and simultaneously pursues multifaceted purposes that benefit from each other: 1) to shed new light on learning behaviors of teams facing ...

Kanehira, Naoto, S.M. Massachusetts Institute of Technology

2008-01-01T23:59:59.000Z

216

Matching vocabulary learning process with learning outcome in L2 academic writing: An exploratory case study  

Science Journals Connector (OSTI)

This exploratory case study of two undergraduates links vocabulary learning approaches with lexical quality measured in academic writing. Employing an array of qualitative data, it is shown that in a “semi-language-rich” learning context, Chinese learners may dispense with rote learning and engage in a more natural learning approach in which vocabulary items are discovered from reading newspapers and consolidated in writing. A shift in language assessment is another key factor that contributes to this rarely reported learning approach among Chinese learners. Measuring lexical quality shows that the two students made impressive but differentiated lexical achievement. Underlying these findings is the two students’ highly explicit metacognitive awareness of the learning process in initiating, selecting and consolidating the vocabulary items to be learned in academic learning contexts.

Qing Ma

2013-01-01T23:59:59.000Z

217

Itookanoodletasting ass then learned new management leaders  

E-Print Network (OSTI)

Itookanoodletasting cl ass then learned new management leaders hip skillsthentookconversational Education, part of the Division of Educational Outreach at UNLV. We have gone through quite a transition

Hemmers, Oliver

218

Machine Learning for Adaptive Computer Game Opponents .  

E-Print Network (OSTI)

??This thesis investigates the use of machine learning techniques in computer games to create a computer player that adapts to its opponent's game-play. This includes… (more)

Miles, Jonathan David

2009-01-01T23:59:59.000Z

219

Lessons Learned Quarterly Report, December 2014  

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

Welcome to the 81st quarterly report on lessons learned in the NEPA process. This issue features tools to help NEPA practitioners perform NEPA reviews.

220

Local Linear Learned Image Processing Pipeline  

Science Journals Connector (OSTI)

The local linear learned (L3) algorithm is presented that simultaneously performs the demosaicking, denoising, and color transform calculations of an image processing pipeline for a...

Lansel, Steven; Wandell, Brian

Note: This page contains sample records for the topic "undp-adaptation learning mechanism" 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

Lessons Learned Integrating COTS into Systems  

Science Journals Connector (OSTI)

This paper presents lessons learned by the author over fifteen years of experience integrating COTS software into systems at The Boeing Company. One key lesson has been to...

Thomas G. Baker

2002-01-01T23:59:59.000Z

222

HELPING BEHAVIOUR DURING COOPERATIVE LEARNING AND LEARNING GAINS: THE ROLE OF THE TEACHER AND OF PUPILS' PRIOR KNOWLEDGE AND ETHNIC  

E-Print Network (OSTI)

1 HELPING BEHAVIOUR DURING COOPERATIVE LEARNING AND LEARNING GAINS: THE ROLE OF THE TEACHER, J. W. (2008). Helping behaviour during cooperative learning and learning gains: The role-159" #12;2 Running head: Helping behaviour during cooperative learning Helping behaviour during cooperative

Paris-Sud XI, Université de

223

MECHANICAL ENGINEERING UNDERGRADUATE HONORS THESIS  

E-Print Network (OSTI)

, when two bound copies are to be submitted to the Mechanical Engineering Services Office #12;PLEASE Mechanical Engineering Student Services: ¨ Application Approved ¨ Application Denied Signature of UGMECHANICAL ENGINEERING UNDERGRADUATE HONORS THESIS The Department of Mechanical Engineering

Prinz, Friedrich B.

224

STANFORD UNIVERSITY MECHANICAL ENGINEERING DEPARTMENT  

E-Print Network (OSTI)

20062007 Mechanical Engineering Student Services Building 530, Room 125 (650) 7257695 FAX (650) 7234882STANFORD UNIVERSITY MECHANICAL ENGINEERING DEPARTMENT GRADUATE STUDENT HANDBOOK Academic Year Revised 9/06 #12;MECHANICAL ENGINEERING GRADUATE STUDENT HANDBOOK 20062007 TABLE OF CONTENTS (Clickable

Prinz, Friedrich B.

225

College of Learning and Workforce Development | Department of Energy  

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

Learning and Workforce Development Learning and Workforce Development College of Learning and Workforce Development College of Learning and Workforce Development Vision To be a Virtual, Transformational Learning Community. How will we achieve our vision? Through the innovative use of technology, we will create a learning community that promotes learning across the DOE enterprise. Through enabling technology, we will establish and grow a virtual learning community that mitigates geographic and organizational boundaries, where communication and learning can be facilitated by technology in real time, and learners can engage in collaborative, experiential learning via formal or informal groups. Mission The College of Learning and Workforce Deveopment's (CLWD) mission is to provide DOE employees with the necessary learning & development information

226

The localization of instrumental learning within the spinal cord  

E-Print Network (OSTI)

Spinal neurons of surgically transected rats can support a simple form of instrumental learning. Rats learn to maintain leg flexion as a response to shock. The present experiments localized the region of the spinal cord that mediates this learning...

Liu, Grace Alexandra Tsu-Chi

2013-02-22T23:59:59.000Z

227

Lessons Learned Quarterly Report Archive | Department of Energy  

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

March 1, 2002 Lessons Learned Quarterly Report, March 2002 Welcome to the 30th quarterly report on lessons learned in the NEPA process. December 5, 2001 Lessons Learned Quarterly...

228

Exploring constructivist learning theory and course visualization on computer graphics  

Science Journals Connector (OSTI)

Constructivist learning theory has shown its advantages on learning system by improving students' interests and ability. In this paper, we introduce some research works of constructivist learning theory and some successful methods from ACM/IEEE-CS ...

Yiming Zhao; Mingmin Zhang; Shu Wang; Yefang Chen

2005-05-01T23:59:59.000Z

229

Transdisciplinary Collaboration and Lifelong Learning: Fostering and Supporting New  

E-Print Network (OSTI)

Transdisciplinary Collaboration and Lifelong Learning: Fostering and Supporting New Learning societies rethink and reinvent learning, teaching, working, and collaboration. A first basic challenge transdisciplinary collaboration that fo- cuses on opportunities for knowledge workers to work in teams, commu

Fischer, Gerhard

230

Mechanical Behavior of Indium Nanostructures  

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

Mechanical Behavior of Indium Nanostructures Mechanical Behavior of Indium Nanostructures Print Wednesday, 26 May 2010 00:00 Indium is a key material in lead-free solder...

231

Library Space Assessment: User Learning Behaviors in the Library  

Science Journals Connector (OSTI)

Abstract As an essential department at a higher education institution and an informal learning space, little is known about how academic libraries contribute to student learning on campus. The Olin Library sought to learn the role of library space in our users' learning. We surveyed users about their learning behaviors in a specific space prior to a scheduled renovation and then in the same space after. We wanted to determine how the renovation changed users' perceptions of their learning behaviors in that space.

Susan E. Montgomery

2014-01-01T23:59:59.000Z

232

Graduate Certificate in the Learning Sciences The Certificate in the Learning Sciences provides an advanced understanding of learning in formal and  

E-Print Network (OSTI)

Graduate Certificate in the Learning Sciences The Certificate in the Learning Sciences provides the Graduate Certificate in the Learning Sciences will have demonstrated requisite knowledge and skills in the Learning Sciences is appropriate for advanced graduate students considering careers such as higher

Buehrer, R. Michael

233

Acoustic hemostasis: Underlying mechanisms  

Science Journals Connector (OSTI)

Cessation of hemorrhage using extrinsic interventional methods is possible with delivery of energy to bleeding tissues i.e. cauterization. High intensity focused ultrasound (HIFU) is one such method with significant advantages of delivering high levels of energy to well?defined regions of deep?seated tissues even during profuse bleeding. The physical mechanisms involved in this process include thermal and mechanical effects of HIFU leading to various biological effects. Our results using HIFU devices of 1–5 MHz and focal derated intensities of 1 000–10 000 W/cm2 in solid organs such as liver spleen and kidneys and major and minor blood vessels show that temperature of targeted tissues reaches 70–100°C within seconds with formation of microbubbles approximately 5??200 ? in size and concentration of 100 bubbles/mm3. It appears that boiling of interstitial fluids and blood and acoustic cavitation are both involved. The biological effects include coagulative necrosis mechanical disruption of tissue structure potentially leading to release of tissue factors enhancing the coagulation coagulum and thrombus formation at a wound site tissue fusion via collagen and elastin remodeling and fibrin plug formation with minimal damage of the surrounding tissues. These mechanisms appear to provide an effective and safe method of hemorrhage control. [Work supported by NIH DoD NSBRI.

Shahram Vaezy; Lawrence Crum; Steve Carter; Grant O’Keefe; Vesna Zderic; Roy Martin; Riyad Karmy?Jones

2007-01-01T23:59:59.000Z

234

Thermodynamics and statistical mechanics  

Science Journals Connector (OSTI)

... IN this book, Professor Landsberg brings together thermodynamics and statistical mechanics to provide a coherent account of these interrelated branches of physical theory ... side usually result in the essential structures of both becoming obscured. The value of classical thermodynamics lies in what it can do without invoking microscopic models and it is best learnt ...

C.J. Adkins

1979-12-20T23:59:59.000Z

235

Residential Mechanical Precooling  

SciTech Connect

This research conducted by the Alliance for Residential Building Innovation team evaluated mechanical air conditioner pre-cooling strategies in homes throughout the United States. EnergyPlus modeling evaluated two homes with different performance characteristics in seven climates. Results are applicable to new construction homes and most existing homes built in the last 10 years, as well as fairly efficient retrofitted homes.

German, A.; Hoeschele, M.

2014-12-01T23:59:59.000Z

236

Application of Machine Learning and Crowdsourcing to Detection of Cybersecurity Threats Application of Machine Learning and Crowdsourcing  

E-Print Network (OSTI)

Application of Machine Learning and Crowdsourcing to Detection of Cybersecurity Threats 1 Application of Machine Learning and Crowdsourcing to Detection of Cybersecurity Threats February 2011 Eugene of Cybersecurity Threats 2 Abstract We are applying machine learning and crowdsourcing to cybersecurity

Fink, Eugene

237

Department of Mechanical Engineering "From Compliant Mechanisms to  

E-Print Network (OSTI)

such as 3D printing with materials specialized in electro- mechanical sensing and actuation in addition

Militzer, Burkhard

238

Program Transformation Mechanics A Classification of Mechanisms for Program Transformation  

E-Print Network (OSTI)

Program Transformation Mechanics A Classification of Mechanisms for Program Transformation with a Survey of Existing Transformation Systems Jonne van Wijngaarden Eelco Visser UU-CS-2003-048 Institute Transformation Mechanics A Classification of Mechanisms for Program Transformation with a Survey of Existing

Utrecht, Universiteit

239

MECHANICAL ENGINEERING 121 Department of Mechanical Engineering (MEE)  

E-Print Network (OSTI)

MECHANICAL ENGINEERING 121 Department of Mechanical Engineering (MEE) *Available for general education credit. The Department of Mechanical Engineering offers an upper- division curriculum which leads to a B.S. in mechanical engineering. The curriculum is based on a strong foundation of fundamental

Kostic, Milivoje M.

240

Mechanical engineering Mechanical engineering is about solving problems, designing processes,  

E-Print Network (OSTI)

Mechanical engineering Mechanical engineering is about solving problems, designing processes, and making products to improve the quality of human life and shape the economy. Mechanical engineers apply the principles of physics, mathematics, computing and practical skills to design mechanical systems and artefacts

Waikato, University of

Note: This page contains sample records for the topic "undp-adaptation learning mechanism" 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

114 MECHANICAL ENGINEERING Department of Mechanical Engineering (MEE)  

E-Print Network (OSTI)

114 MECHANICAL ENGINEERING Department of Mechanical Engineering (MEE) *Available for general education credit. The Department of Mechanical Engineering offers an upper- division curriculum which leads to a B.S. in mechanical engineering. The curriculum is based on a strong foundation of fundamental

Kostic, Milivoje M.

242

NEPA Lessons Learned December 2010 1  

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

0 1 0 1 Fourth Quarter FY 2010 December 1, 2010; Issue No. 65 U.S. DEPARTMENT OF ENERGY QUARTERLY REPORT National Environmental Policy Act LESSONS LEARNED LEARNED LESSONS N E P A CEQ Issues Categorical Exclusion Guidance After coordinating with Federal agencies and addressing public comments, the Council on Environmental Quality (CEQ) issued final guidance on Establishing, Applying,

243

Learning Human Motion Models Bulent Tastan  

E-Print Network (OSTI)

Learning Human Motion Models Bulent Tastan Department of EECS University of Central Florida Orlando In this summary, I provide an overview of my disserta- tion work on learning human motion models from trajectory) pursuing opponents. Human Tracking One of the most powerful constraints governing many ac- tivity

Sukthankar, Gita Reese

244

VI. References V. Realistic Learning (Rate Based  

E-Print Network (OSTI)

VI. References V. Realistic Learning (Rate Based III. Mean Field Model IV. Spike Timing Depended Results Batch Learning ber of pattern stored patterns Low pass filtering: Presynaptic Adaptation ( ):see Christian Albers and Klaus Pawelzik University of Bremen -- Institute for Theoretical Physics -- Department

Kreiter, Andreas K.

245

Visuospatial Learning in School Science Jayashree Ramadas  

E-Print Network (OSTI)

Visuospatial Learning in School Science Jayashree Ramadas HBCSE, TIFR, Mumbai Research in science with the practice of science as well as of education. I will illustrate research at the Homi Bhabha Centre for Science Education using the example of visuospatial learning and reasoning in school science. challenges

Shyamasundar, R.K.

246

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

247

THE NEW LEARNING David Blumenthal MD MPP  

E-Print Network (OSTI)

in medicine · How does IT change the way physicians learn? · What does the future hold? #12;Moving Past On-line curricula. Pre-clinical years. Distance learning. New meaning to the concept of "off algorithms, order sets, guidelines, and institutional policy to encourage evidence-based practices Powers

von der Heydt, Rüdiger

248

Discriminant Absorption Feature Learning for Material Classification  

E-Print Network (OSTI)

1 Discriminant Absorption Feature Learning for Material Classification Zhouyu Fu, Antonio Robles in spectral imaging by combining the use of invariant spectral absorption features and statistical machine learning techniques. Our method hinges in the relevance of spectral absorption features for material

Robles-Kelly, Antonio

249

Learning Extended Writing: Designing for Children's Collaboration  

E-Print Network (OSTI)

Learning Extended Writing: Designing for Children's Collaboration Philip Heslop1 , Ahmed Kharrufa1 for collocated collaborative writing on digital tabletops. Learning writing is an activity that is traditionally undertaken as a non- collaborative, non-visuospatial activity. We demonstrate how framing writing

Balaam, Madeline

250

Learning Bicycle Stunts C. Karen Liu  

E-Print Network (OSTI)

Learning Bicycle Stunts Jie Tan Yuting Gu C. Karen Liu Greg Turk Georgia Institute that is riding a bicycle. The two main components of our system are offline learning and online simulation. We sim- ulate the bicycle and the rider as an articulated rigid body system. The rider is controlled

Turk, Greg

251

NTC Launches New eLearning Management System  

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

The National Training Center is committed to producing high quality eLearning courses available to students for free on our Learning Management System (LMS).

252

National Fuel Cell Electric Vehicle Learning Demonstration Final...  

Office of Environmental Management (EM)

National Fuel Cell Electric Vehicle Learning Demonstration Final Report National Fuel Cell Electric Vehicle Learning Demonstration Final Report This report discusses key analysis...

253

Lessons Learned: Devolping Thermochemical Cycles for Solar Heat...  

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

Lessons Learned: Devolping Thermochemical Cycles for Solar Heat Storage Applications Lessons Learned: Devolping Thermochemical Cycles for Solar Heat Storage Applications This...

254

Machine Learning for Humanoid Robot Modeling and Control /  

E-Print Network (OSTI)

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

Wu, Tingfan

2013-01-01T23:59:59.000Z

255

Machine learning based prediction for peptide drift times in...  

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

Machine learning based prediction for peptide drift times in ion mobility spectrometry . Machine learning based prediction for peptide drift times in ion mobility spectrometry ....

256

Designing MOOCs for the Support of Multiple Learning Styles  

E-Print Network (OSTI)

, learning styles, culture of participa- tion, active learning, gamification Abstract. "Internetworking and reward user contributions by means of gamification. 1 Introduction The concept and format of "Massive

Weske, Mathias

257

The Subsumptive Constraints Account of why explaining "why?" helps learning  

E-Print Network (OSTI)

2010). Why does explaining help learning? Insight from anand development .. 8 1.3. Why does explaining “why? ” helpof why explaining “why? ” helps learning by Joseph Jay

Williams, Joseph Jay

2013-01-01T23:59:59.000Z

258

Independent Oversight Lessons Learned Report, Department of Energy...  

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

January 2005 Independent Oversight Lessons Learned Report, Department of Energy - January 2005 January 2005 Lessons Learned Report Electrical Safety During Excavation and...

259

Alternative Fuels Lessons Learned Workshop | Department of Energy  

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

Alternative Fuels Lessons Learned Workshop Alternative Fuels Lessons Learned Workshop Presentation by NREL's Margo Melendez at the 2010 - 2025 Scenario Analysis for Hydrogen Fuel...

260

Native Learning Center Second Annual Indian Housing Training...  

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

Native Learning Center Second Annual Indian Housing Training Conference Native Learning Center Second Annual Indian Housing Training Conference September 10, 2014 12:00PM EDT to...

Note: This page contains sample records for the topic "undp-adaptation learning mechanism" 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

Energy Literacy in Action: Nevada Teachers Helping Students Learn...  

Office of Environmental Management (EM)

Literacy in Action: Nevada Teachers Helping Students Learn About Energy Energy Literacy in Action: Nevada Teachers Helping Students Learn About Energy November 6, 2014 - 10:48am...

262

IEEE Trans. on PAMI (vol.19, no.11, Nov. 1997) Prior Learning and Gibbs Reaction-Di usion  

E-Print Network (OSTI)

energy in statistics mechanics. Prior models of this kind are either gener- alized from traditional computation: #12;rst it presents a novel theory for learning the universal statistics of natural images { a prior model for typical cluttered scenes of the world { from a set of natural images, second it proposes

Zhu, Song Chun

263

IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 22, NO. 1, FEBRUARY 2007 85 A Reinforcement Learning Model to Assess Market  

E-Print Network (OSTI)

IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 22, NO. 1, FEBRUARY 2007 85 A Reinforcement Learning Model to Assess Market Power Under Auction-Based Energy Pricing Vishnuteja Nanduri, Student Member, IEEE, and Tapas K. Das, Member, IEEE Abstract--Auctions serve as a primary pricing mechanism in various market

Tesfatsion, Leigh

264

Online Learning Center | Department of Energy  

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

Technologies » Technologies » Online Learning Center Online Learning Center Online Learning Center Whether you're looking to discover new learning opportunities, better manage your career, request external training or connect your employees with the learning they need, OLC provides new features and services to help. Fulfill your training needs with ease and save money on travel and training costs Explore the enhanced catalog and complete a course at your own pace to stay abreast in the latest technology, science breakthroughs, and other top key professions. Take a few courses at your leisure or schedule several courses at a time to remain marketable in the workforce and sharpen your knowledge, skills and abilities. Whether at your desk, the comfort of your home or on the go, access

265

What is Continual Learning? | Department of Energy  

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

What is Continual Learning? What is Continual Learning? What is Continual Learning? November 25, 2013 - 3:56pm Addthis The purpose of Continual Learning is to improve the professional development of the federal workforce within the Department of Energy. In an effort to support this initiative, HC-20 offers 3 instructional workshops to assist employees and supervisors with employee development. These workshops are full of helpful tips and tricks for identifying low cost/no cost training, creating a high-quality IDP and assist supervisors with their responsibilities with employee development. The workshops will be offered either via adobe connect or classroom. Employees and supervisor are encouraged to attend these workshops and let us (HC-20) help you as we promote a learning culture.

266

An introduction to quantum machine learning  

E-Print Network (OSTI)

Machine learning algorithms learn a desired input-output relation from examples in order to interpret new inputs. This is important for tasks such as image and speech recognition or strategy optimisation, with growing applications in the IT industry. In the last couple of years, researchers investigated if quantum computing can help to improve classical machine learning algorithms. Ideas range from running computationally costly algorithms or their subroutines efficiently on a quantum computer to the translation of stochastic methods into the language of quantum theory. This contribution gives a systematic overview of the emerging field of quantum machine learning. It presents the approaches as well as technical details in an accessable way, and discusses the potential of a future theory of quantum learning.

M. Schuld; I. Sinayskiy; F. Petruccione

2014-09-10T23:59:59.000Z

267

Academic libraries as learning spaces in Japan: Toward the development of learning commons  

Science Journals Connector (OSTI)

Since the beginning of the 1990s, new types of learning spaces at academic libraries have emerged mainly in North America. They are called “information commons” or “learning commons.” They provide various kinds of services, facilities, and materials in one location to support students’ learning. The idea of learning commons has been introduced to colleges and universities in Japan as well. The purpose of this study is to examine the present condition of learning spaces in university libraries in Japan. A questionnaire was sent to 755 main or central libraries at colleges and universities. The response rate was 69.4%. The results of the survey are as follows: (a) simple collaborative learning spaces with desk/desks and chairs have become modestly widespread, while advanced spaces with equipment for information and communication technology, such as computers or projectors, are not common; (b) many libraries provide computer clusters; and (c) cafés and/or beverage vending machines in libraries are still few in number. The survey also reveals that learning commons in Japan are in the early stage of development. Various types of learning spaces are recognized as learning commons. They range from a group learning room with Wi-Fi access to an entire learning commons, where several kinds of facilities, services, and information resources to support students’ learning in one location are provided. This diversification may be based on the confusion caused by the rapid introduction of learning commons in Japan. Many learning spaces may rebuild their own services in the near future because of their students’ needs.

Saori Donkai; Atsushi Toshimori; Chieko Mizoue

2011-01-01T23:59:59.000Z

268

LESSONS LEARNED LEARNED LESSONS N E P A  

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

Second Quarter fy 2013 Second Quarter fy 2013 June 3, 2013; Issue no. 75 NEPA Lessons Learned June 2013 1 (continued on page 4) Coordination and Substitution: Effective Options for Integrating NEPA and NHPA Section 106 The Council on Environmental Quality (CEQ) and the Advisory Council on Historic Preservation (ACHP) jointly issued a handbook in early March aimed at improving the integration of the Section 106 consultation process under the National Historic Preservation Act (NHPA) and NEPA review. NEPA and NHPA: A Handbook for Integrating NEPA and Section 106 anticipates that benefits will include maximizing staff resources, avoiding duplication of effort, facilitating coordinated public participation, and making better informed decisions. The handbook describes the options of "coordination"

269

LESSONS LEARNED LEARNED LESSONS N E P A  

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

3 3 September 6, 2013; Issue no. 76 NEPA Lessons Learned September 2013 1 The Office of NEPA Policy and Compliance has been tracking completion times and other metrics since 1994. (See related article, page 3, and Notes on NEPA Metrics, page 4.) The NEPA Office's most recent analysis - for calendar years 2003 through 2012 - shows that completion time and cost vary considerably from document to document and often within a single year. However, overall performance, as measured through median values throughout the period, generally appears to have remained stable, notwithstanding a substantial workload. DOE's NEPA Workload The number of EISs, EAs, and categorical exclusion (CX) determinations completed each year is one measure of the Department's overall NEPA workload. DOE began

270

Applied Ergonomics 36 (2005) 127134 Supporting continuous learning in a large organization  

E-Print Network (OSTI)

changes, company mergers and newly emerging approaches to organizational management and workplace learning organizational influences on learning. We outline lessons learned and suggestions as to the extent to which reserved. Keywords: Organizational learning; Workplace autonomy; Organizational influences on learning 1

Holland, Simon

271

Mechanical Engineering Department Seminar Series  

E-Print Network (OSTI)

Mechanical Engineering Department Seminar Series Rational Mechanics of Viral Shells: Is Continuum Theory a Stretch? William S. Klug Associate Professor, Mechanical & Aerospace Engineering, University-assembly. The capacity of these shells to respond structurally and mechanically to physical and chemical stimuli also

Eustice, Ryan

272

07SCHOOL OF MECHANICAL ENGINEERING  

E-Print Network (OSTI)

, mechanical with nuclear engineering, and medical engineering. Engineers qualified in all these areas play MECHANICAL ENGINEERING MECHANICAL WITH NUCLEAR ENGINEERING MEDICAL ENGINEERING OTHER COURSES TO CONSIDER Entryrequirementsandhowtoapply Modules MedicalEngineering(MEng,BEng) MechanicalwithNuclearEngineering(MEng,BEng) MechanicalEngineering

Dimitrova, Vania

273

Mechanical Operations and Maintenance  

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

Holiday Work Status Holiday Work Status Mechanical Operations & Maintenance Group APS Storage Ring Magnets The Advanced Photon Source (APS) at the Argonne National Laboratory is a national synchrotron-radiation research facility funded by the U.S. Department of Energy. Using high-brilliance x-ray beams from the APS, an international community of scientists conducts forefront basic and applied research in the fields of material science, biological science, physics, chemistry, environmental, geophysical and planetary science. The 1.1-km circumference APS facility consists of several major subsystems including magnets, vacuum chambers, radio-frequency cavities, diagnostics instrumentation, x-ray absorbers and apertures, and cooling water subsystems. Each of these subsystems contains hundreds of mechanical

274

Mechanics of collective unfolding  

E-Print Network (OSTI)

Mechanically induced unfolding of passive crosslinkers is a fundamental biological phenomenon encountered across the scales from individual macro-molecules to cytoskeletal actin networks. In this paper we study a conceptual model of athermal load-induced unfolding and use a minimalistic setting allowing one to emphasize the role of long-range interactions while maintaining full analytical transparency. Our model can be viewed as a description of a parallel bundle of N bistable units confined between two shared rigid backbones that are loaded through a series spring. We show that the ground states in this model correspond to synchronized, single phase configurations where all individual units are either folded or unfolded. We then study the fine structure of the wiggly energy landscape along the reaction coordinate linking the two coherent states and describing the optimal mechanism of cooperative unfolding. Quite remarkably, our study shows the fundamental difference in the size and structure of the folding-u...

Caruel, M; Truskinovsky, L

2015-01-01T23:59:59.000Z

275

Time in quantum mechanics  

E-Print Network (OSTI)

OF CONTENTS I. INTRODUCTION II. HISTORICAL DEVELOPMENT A. Classical Mechanics B. Quantum Theory . C. The Problem 3 4 6 III. TIME ATOMS AND DISCRETE TIME A. The Earliest Applications of Atomistic and Discrete Time . . . . . B. The Radiating Electron... . C. Quantum Field Theory 8 10 l2 IV. TIME OPERATOR FORMULATIONS 16 A. Advocates Against a Time Operator . B. The Possibility of a Time Operator C, Advocates in Favor of a Time Operator D. A Restricted Time Delay Operator: Scattering Theory...

Chapin, Kimberly R.

2012-06-07T23:59:59.000Z

276

Relativistic viscoelastic fluid mechanics  

SciTech Connect

A detailed study is carried out for the relativistic theory of viscoelasticity which was recently constructed on the basis of Onsager's linear nonequilibrium thermodynamics. After rederiving the theory using a local argument with the entropy current, we show that this theory universally reduces to the standard relativistic Navier-Stokes fluid mechanics in the long time limit. Since effects of elasticity are taken into account, the dynamics at short time scales is modified from that given by the Navier-Stokes equations, so that acausal problems intrinsic to relativistic Navier-Stokes fluids are significantly remedied. We in particular show that the wave equations for the propagation of disturbance around a hydrostatic equilibrium in Minkowski space-time become symmetric hyperbolic for some range of parameters, so that the model is free of acausality problems. This observation suggests that the relativistic viscoelastic model with such parameters can be regarded as a causal completion of relativistic Navier-Stokes fluid mechanics. By adjusting parameters to various values, this theory can treat a wide variety of materials including elastic materials, Maxwell materials, Kelvin-Voigt materials, and (a nonlinearly generalized version of) simplified Israel-Stewart fluids, and thus we expect the theory to be the most universal description of single-component relativistic continuum materials. We also show that the presence of strains and the corresponding change in temperature are naturally unified through the Tolman law in a generally covariant description of continuum mechanics.

Fukuma, Masafumi; Sakatani, Yuho [Department of Physics, Kyoto University, Kyoto 606-8502 (Japan)

2011-08-15T23:59:59.000Z

277

Adenosine Triphosphate Hydrolysis Mechanism in Kinesin Studied by Combined Quantum-Mechanical/Molecular-Mechanical Metadynamics Simulations  

Science Journals Connector (OSTI)

Adenosine Triphosphate Hydrolysis Mechanism in Kinesin Studied by Combined Quantum-Mechanical/Molecular-Mechanical Metadynamics Simulations ... Future extensive molecular mechanical MD simulations exploring the stability of the various states would be very beneficial, although they are outside the scope of the present work. ... Here, we discuss the functions and mechanisms of action of three such crosslinkers: the motors kinesin-5 and kinesin-14, and the non-motor MAPs of the Ase1p family. ...

Matthew J. McGrath; I.-F. Will Kuo; Shigehiko Hayashi; Shoji Takada

2013-05-23T23:59:59.000Z

278

Learning web-service task descriptions from traces  

Science Journals Connector (OSTI)

This paper considers the problem of learning task specific web-service descriptions from traces of users successfully completing a task. Unlike prior approaches, we take a traditional machine-learning perspective to the construction of web-service models ... Keywords: Apprenticeship Learning, Machine Learning, Sample Complexity, Web Services

Thomas J. Walsh; Michael L. Littman; Alexander Borgida

2012-10-01T23:59:59.000Z

279

MACHINE LEARNING IN A DYNAMIC WORLD Panel Dmussion  

E-Print Network (OSTI)

MACHINE LEARNING IN A DYNAMIC WORLD Panel Dmussion Miecsyslaw M. Kohr Panel O&m and Editor. Michal~gi,George Mason University R.S.Sutton, GTE Laboratories Machine Learning was established of machine learning research was in Cybernetic Systems and Adaptive Control. Machine Learning has been

Antsaklis, Panos

280

FCV Learning Demonstration: Factors Affecting Fuel Cell Degradation (Presentation)  

SciTech Connect

Presentation on factors affecting fuel cell degradation in the DOE Fuel Cell Vehicle learning demonstation.

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

2007-11-15T23:59:59.000Z

Note: This page contains sample records for the topic "undp-adaptation learning mechanism" 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

STUDENT LEARNING COMMONS Annual Report 2006/07  

E-Print Network (OSTI)

STUDENT LEARNING COMMONS Annual Report 2006/07 Elaine Fairey, Director, Student Learning Commons ______________________________________________________________________________________ Introduction Officially launched in Fall 2006, the Student Learning Commons (SLC) is an academic learning centre with the mandate to assist and support students in their academic pursuits, with a focus

282

Promotion of Wind Energy: Lessons Learned from International...  

Open Energy Info (EERE)

gefdocumentspublicationswindpowerweb.pdf Equivalent URI: cleanenergysolutions.orgcontentpromotion-wind-energy-lessons-learned Language: English Policies: "Deployment...

283

Transformative Learning Purple Paper Truman State University Summer 2011  

E-Print Network (OSTI)

Transformative Learning ­ Purple Paper Truman State University ­ Summer 2011 The 2008. The Transformative Learning Taskforce has prepared this "Purple Paper" ­ a summary of our current understanding to transformative learning. Transformative Learning: The combination of these components and supportive

Gering, Jon C.

284

FEMP Best Practices and Lessons Learned for Federal Agency ESPC...  

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

FEMP Best Practices and Lessons Learned for Federal Agency ESPC Projects Contents 1. Introduction ......

285

Mechanical Systems Qualification Standard  

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

61-2008 61-2008 June 2008 DOE STANDARD MECHANICAL SYSTEMS QUALIFICATION STANDARD DOE Defense Nuclear Facilities Technical Personnel U.S. Department of Energy AREA TRNG Washington, D.C. 20585 DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. DOE-STD-1161-2008 ii This document is available on the Department of Energy Technical Standards Program Web Site at http://www.hss.energy.gov/nuclearsafety/techstds/ DOE-STD-1161-2008 iv INTENTIONALLY BLANK DOE-STD-1161-2008 v TABLE OF CONTENTS ACKNOWLEDGMENT................................................................................................................ vii PURPOSE ....................................................................................................................................1

286

Fields and Quantum Mechanics  

E-Print Network (OSTI)

The quantum field theories (QFT) constructed in [1,2] include phenomenology of interest. The constructions approximate: scattering by $1/r$ and Yukawa potentials in non-relativistic approximations; and the first contributing order of the Feynman series for Compton scattering. To have a semi-norm, photon states are constrained to transverse polarizations and for Compton scattering, the constructed cross section deviates at large momentum exchanges from the cross section prediction of the Feynman rules. Discussion includes the incompatibility of canonical quantization with the constructed interacting fields, and the role of interpretations of quantum mechanics in realizing QFT.

Glenn Eric Johnson

2014-12-21T23:59:59.000Z

287

Fuel Cell Technologies Office: National Hydrogen Learning Demonstration  

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

National Hydrogen National Hydrogen Learning Demonstration Status Webinar (Text Version) to someone by E-mail Share Fuel Cell Technologies Office: National Hydrogen Learning Demonstration Status Webinar (Text Version) on Facebook Tweet about Fuel Cell Technologies Office: National Hydrogen Learning Demonstration Status Webinar (Text Version) on Twitter Bookmark Fuel Cell Technologies Office: National Hydrogen Learning Demonstration Status Webinar (Text Version) on Google Bookmark Fuel Cell Technologies Office: National Hydrogen Learning Demonstration Status Webinar (Text Version) on Delicious Rank Fuel Cell Technologies Office: National Hydrogen Learning Demonstration Status Webinar (Text Version) on Digg Find More places to share Fuel Cell Technologies Office: National Hydrogen Learning Demonstration Status Webinar (Text Version) on

288

Implementing US Department of Energy lessons learned programs. Volume 2  

SciTech Connect

The DOE Lessons Learned Handbook is a two-volume publication developed to supplement the DOE Lessons Learned Standard (DOE-STD-7501-95) with information that will organizations in developing or improving their lessons learned programs. Volume 1 includes greater detail than the Standard in areas such as identification and documentation of lessons learned; it also contains sections on specific processes such as training and performance measurement. Volume 2 (this document) contains examples of program documents developed by existing lessons learned programs as well as communications material, functional categories, transmittal documents, sources of professional and industry lessons learned, and frequently asked questions about the Lessons Learned List Service.

NONE

1995-08-01T23:59:59.000Z

289

Lessons Learned Quarterly Report Archive | Department of Energy  

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

June 1, 2001 June 1, 2001 Lessons Learned Quarterly Report, June 2001 Welcome to the 27th quarterly report on lessons learned in the NEPA process. March 1, 2001 Lessons Learned Quarterly Report, March 2001 Welcome to the 26th quarterly report on lessons learned in the NEPA process. December 1, 2000 Lessons Learned Quarterly Report, December 2000 Welcome to the 25th quarterly report on lessons learned in the NEPA process. September 1, 2000 Lessons Learned Quarterly Report, September 2000 Welcome to the 24th quarterly report on lessons learned in the NEPA process. Note that this issue includes a cumulative index covering the past six years of reports. June 1, 2000 Lessons Learned Quarterly Report, June 2000 Welcome to the 23rd quarterly report on lessons learned in theNEPA process.

290

Neuromuscular Control Contributes to Incidental Learning: Head Orientation During Visual Statistical Learning.  

E-Print Network (OSTI)

??Incidental learning of sequential information occurs in visual, auditory and tactile domains. It occurs throughout our lifetime and even in nonhuman species. It is likely… (more)

Marsh, Elizabeth R.

2013-01-01T23:59:59.000Z

291

Harrer, A., Malzahn, N., Hoeksema, K. & Hoppe, U. (2005). Learning Design Engines as Remote Control to Learning Support Environments.  

E-Print Network (OSTI)

2005 ISSN: 1365-893X Learning Design Engines as Remote Control to Learning Support Environments Andreas documents) and learning environments. According to its current state, the engine controls the learning, that are mapped to the environments' existing functionality (such as "create new workspace"). Thus the engine

Paris-Sud XI, Université de

292

NREL: Learning About Renewable Energy Home Page  

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

Student Resources - For high school and college students who want to learn more about how renewable energy can help create a brighter energy future for all of us. More Student Resources - For high school and college students who want to learn more about how renewable energy can help create a brighter energy future for all of us. More Renewable energy and energy efficiency technologies are key to creating a clean energy future for not only the nation, but the world. This Web site describes NREL's research in renewable energy technologies, and also provides information on energy efficiency and various applications of renewable energy. Renewable Energy Learn about renewable energy technologies including: Biomass Power Geothermal Power Solar Power Wind Energy Advanced Vehicles & Fuels Learn the basics about advanced vehicle technologies and alternative fuels. Find out how they contribute to fuel efficiency, reduce harmful air

293

Learn More About Interconnections | Department of Energy  

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

Learn More About Learn More About Interconnections Learn More About Interconnections Learn More About Interconnections EASTERN INTERCONNECTION North America is comprised of two major and three minor alternating current (AC) power grids or "interconnections." The Eastern Interconnection reaches from Central Canada Eastward to the Atlantic coast (excluding Québec), South to Florida and West to the foot of the Rockies (excluding most of Texas). All of the electric utilities in the Eastern Interconnection are electrically tied together during normal system conditions and operate at a synchronized frequency operating at an average of 60Hz. Click here for more information. DOE is in the process of issuing awards to two entities in the Eastern Interconnection: one to the Eastern Interconnection Planning

294

DOE Lessons Learned Documents and Information  

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

Corporate Operating Experience Review Program Corporate Operating Experience Review Program Home Contact Us Documents & Info DOE LL Database LL Links Special Operations Reports Safety Advisories Safety Alerts Special Reports Safety Bulletins OE Summaries Just-In-Time Reports Defense Nuclear Security Lessons Learned Center (DNS-LLC) HSS Logo Corporate Operating Experience Program DOE Corporate Operating Experience (OE) Program: The Department of Energy's (DOE) corporate OE Program helps to prevent the recurrence of significant adverse events/trends by sharing performance information, lessons learned and good practices across the DOE complex. This program includes: DOE Site Performance Information, ORPS Weekly Summary of Significant Occurrences DOE Corporate Lessons Learned Collection Jump to the Lessons Learned products which make up the major sections of this web page.

295

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

296

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

297

Lessons Learned Quarterly Report, March 1995  

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

This second quarterly report summarizes the lessons learned for documents completed between October 1 and December 31, 1994. It is based on responses to the revised questionnaire that was provided...

298

Quantum Bootstrapping via Compressed Quantum Hamiltonian Learning  

E-Print Network (OSTI)

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

Nathan Wiebe; Christopher Granade; David G. Cory

2014-09-04T23:59:59.000Z

299

Optimizing Probabilistic Models for Relational Sequence Learning  

E-Print Network (OSTI)

Optimizing Probabilistic Models for Relational Sequence Learning Nicola Di Mauro, Teresa M features, a feature #12;2 Nicola Di Mauro, Teresa M.A. Basile, Stefano Ferilli, and Floriana Esposito

Di Mauro, Nicola

300

Research Article The Equivalence of Learning  

E-Print Network (OSTI)

reasoning associated with the evaluation of science- fair posters. We found not only that many more children- and mathematics-education community is the constructivist idea that discovery learning, as op- posed to direct

Klahr, David

Note: This page contains sample records for the topic "undp-adaptation learning mechanism" 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

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

302

Student Learning Outcomes College: Arts + Architecture  

E-Print Network (OSTI)

and the principles of sustainability (NAAB Architecture Accreditation Criterion A13.28). Part 3: AccessibilityStudent Learning Outcomes College: Arts + Architecture Department: School of Architecture Degree Program: Bachelor of Architecture (Fifth Year Program) 1) Student will demonstrate proficiency

Raja, Anita

303

National Hydrogen Learning Demonstration Status (Presentation)  

SciTech Connect

This presentation discusses U.S. DOE Learning Demonstration Project goals, fuel cell vehicle and H2 station deployment status, and technical highlights of vehicle and infrastructure analysis results and progress.

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

2012-02-01T23:59:59.000Z

304

DVU Learning Channel | Department of Energy  

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

enhances the videos but is not required. Courses can be viewed in any browser or on the free app for tablets and smart phones. Government Learning Videos Leadership development...

305

Distribution-sensitive learning for imbalanced datasets  

E-Print Network (OSTI)

Many real-world face and gesture datasets are by nature imbalanced across classes. Conventional statistical learning models (e.g., SVM, HMM, CRY), however, are sensitive to imbalanced datasets. In this paper we show how ...

Song, Yale

306

Learning to profit with discrete investment rules  

Science Journals Connector (OSTI)

The learning of optimal discrete investment rules is analysed and related to the problem of forecasting financial returns. The aim is twofold: to characterize some `good' learning methods for agents using investment rules of this form and to explain why many observed investment rules such as technical trading rules are discrete. A consistent estimator for discrete investment rules is used and it is shown, using simulations, that direct estimation of investment rules is preferable to the estimation of forecasting models to be used in such rules. This model and the associated results indicate there are a number of reasons why it may be easier to learn a good discrete investment rule than to learn a continuous rule; this provides a partial explanation of why discrete investment rules are used so widely.

Spyros Skouras

2001-01-01T23:59:59.000Z

307

A European research agenda for lifelong learning  

Science Journals Connector (OSTI)

It is a generally accepted truth that without a proper educational system no country will prosper, nor will its inhabitants. With the arrival of the post-industrial society, in Europe and elsewhere, it has become increasingly clear that people should continue learning over their entire lifespans lest they or their society suffer the dire consequences. But what does this future lifelong learning society exactly look like? And how then should education prepare for it? What should people learn and how should they do so? How can we afford to pay for all this, what are the socio-economic constraints of the move towards a lifelong-learning society? And, of course, what role can and should the educational establishment of schools and universities play? This are questions that demand serious research efforts, which is what this paper argues for.

Peter Sloep; Jo Boon; Bernard Cornu; Michael Klebl; Paul Lefrere; Ambjorn Naeve; Peter Scott; Luis Tinoca

2011-01-01T23:59:59.000Z

308

Web-based learning: an empirical analysis  

Science Journals Connector (OSTI)

Web-Based Learning (WBL) and training have become popular among academic institutions and companies. It has led to a widespread debate over whether technology-based learning alone will be a sufficient approach in the future or whether technology will simply complement traditional methods of learning. This debate has led to several studies on the application and effectiveness of WBL and its pros and cons with regard to effectiveness in teaching and learning. An empirical analysis was conducted with the help of data collected using a standard questionnaire from students in Hong Kong universities. The objective of this research was to investigate the extent to which WBL is popular and effective in Hong Kong. The results of the literature survey and empirical analysis helped to identify the barriers to and critical success factors in the successful application of WBL, and to develop a generic framework for WBL that could be useful in other environments. A summary of findings and conclusions are presented.

A. Gunasekaran; E.W.T. Ngai

2006-01-01T23:59:59.000Z

309

Lessons Learned Quarterly Report, March 2014  

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

Welcome to the 78th quarterly report on lessons learned in the NEPA process. This issue examines some recent developments and practices in the use of GIS for NEPA and related environmental reviews.

310

NREL: Learning - Student Resources on Wind Energy  

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

Wind Energy Photo of a girl and a boy standing beneath a large wind turbine. Students can learn about wind energy by visiting a wind farm. The following resources can provide you...

311

Regenerative Medicine: Learning from Past Examples  

E-Print Network (OSTI)

Regenerative medicine products have characteristically shown great therapeutic potential, but limited market success. Learning from the past attempts at capturing value is critical for new and emerging regenerative medicine ...

Couto, Daniela S.

312

Measure Transformer Semantics for Bayesian Machine Learning  

E-Print Network (OSTI)

Measure Transformer Semantics for Bayesian Machine Learning Johannes Borgstr¨om1, Andrew D. Gordon1 define combinators for measure transformers, based on theorems in measure theory, and use these to give

Plotkin, Joshua B.

313

College of Engineering Mechanical Engineering  

E-Print Network (OSTI)

College of Engineering Mechanical Engineering Core 2.0 Completion Checklist Mechanical Engineering Science IN CHMY 141 (CHEM 131) 6 Research and Creative Experience R EMEC 489R & EMEC 499 R (ME 404R & ME

Dyer, Bill

314

A Case-Study for Life-Long Learning and Adaptation in Cooperative Robot Teams  

SciTech Connect

While considerable progress has been made in recent years toward the development of multi-robot teams, much work remains to be done before these teams are used widely in real-world applications. Two particular needs toward this end are the development of mechanisms that enable robot teams to generate cooperative behaviors on their own, and the development of techniques that allow these teams to autonomously adapt their behavior over time as the environment or the robot team changes. This paper proposes the use of the Cooperative Multi-Robot Observation of Multiple Moving Targets (CMOMMT) application as a rich domain for studying the issues of multi-robot learning and adaptation. After discussing the need for learning and adaptation in multi-robot teams, this paper describes the CMOMMT application and its relevance to multi-robot learning. We discuss the results of the previously- developed, hand-generated algorithm for CMOMMT and the potential for learning that was discovered from the hand-generated approach. We then describe the early work that has been done (by us and others) to generate multi- robot learning techniques for the CMOMMT application, as well as our ongoing research to develop approaches that give performance as good, or better, than the hand-generated approach. The ultimate goal of this research is to develop techniques for multi-robot learning and adaptation in the CMOMMT application domain that will generalize to cooperative robot applications in other domains, thus making the practical use of multi-robot teams in a wide variety of real-world applications much closer to reality.

Parker, L.E.

1999-09-19T23:59:59.000Z

315

NEPA Lessons Learned Second Quarter FY 2006  

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

6 1 6 1 (continued on page 4) Second Quarter FY 2006 June 1, 2006; Issue No. 47 National Environmental Policy Act U.S. DEPARTMENT OF ENERGY QUARTERLY REPORT LESSONS LEARNED LEARNED LESSONS N E P A Quality + Leadership = NEPA Success NEPA 35 Earns Special Award from NAEP; see page 3 DOE's NEPA Compliance Offi cers discussed quality assurance during the interactive meeting of more than

316

NEPA Lessons Learned June 2010 1  

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

10 1 10 1 Second Quarter FY 2010 June 1, 2010; Issue No. 63 U.S. DEPARTMENT OF ENERGY QUARTERLY REPORT National Environmental Policy Act LESSONS LEARNED LEARNED LESSONS N E P A To mark the 40 th anniversary of NEPA, the Office of NEPA Policy and Compliance is inviting distinguished NEPA practitioners to share their thoughts on the occasion. In this issue, Anne Norton Miller, former Director of the Office of

317

NEPA Lessons Learned March 2010 1  

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

0 1 0 1 First Quarter FY 2010 March 1, 2010; Issue No. 62 U.S. DEPARTMENT OF ENERGY QUARTERLY REPORT National Environmental Policy Act LESSONS LEARNED LEARNED LESSONS N E P A (continued on page 18) The Council on Environmental Quality (CEQ) marked the 40 th anniversary of the National Environmental Policy Act (NEPA), and of CEQ itself, with a celebratory symposium and reception in Washington, DC, on February 18, 2010.

318

NEPA Lessons Learned Third Quarter 2007  

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

September 2007 1 Third Quarter FY 2007 September 4, 2007; Issue No. 52 National Environmental Policy Act U.S. DEPARTMENT OF ENERGY QUARTERLY REPORT LESSONS LEARNED LEARNED LESSONS N E P A (continued on page 4) The U.S. Department of Energy (DOE) has announced its plan to evaluate eight DOE sites and two generic locations for the proposed disposal of about 5,600 cubic meters

319

NEPA Lessons Learned March 2011 1  

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

1 1 1 1 First Quarter FY 2011 March 1, 2011; Issue No. 66 U.S. DEPARTMENT OF ENERGY QUARTERLY REPORT National Environmental Policy Act LESSONS LEARNED LEARNED LESSONS N E P A DOE's publication of a Notice of Proposed Rulemaking for the Department's NEPA regulations marks a major milestone in updating its categorical exclusions (CXs). Since DOE last revised the "classes of actions" in

320

Machine Learning for Precise Quantum Measurement  

E-Print Network (OSTI)

Adaptive feedback schemes are promising for quantum-enhanced measurements yet are complicated to design. Machine learning can autonomously generate algorithms in a classical setting. Here we adapt machine learning for quantum information and use our framework to generate autonomous adaptive feedback schemes for quantum measurement. In particular our approach replaces guesswork in quantum measurement by a logical, fully-automatic, programmable routine. We show that our method yields schemes that outperform the best known adaptive scheme for interferometric phase estimation.

Alexander Hentschel; Barry C. Sanders

2009-10-05T23:59:59.000Z

Note: This page contains sample records for the topic "undp-adaptation learning mechanism" 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

Discrimination reversal learning in yearling horses  

E-Print Network (OSTI)

DISCRIMINATION REVERSAL LEARNING IN YEARLING HORSES A Thesis by JEANNA CHASTAIN FISKE Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE December 1976... Major Subjects Animal Science DISCRIMINATION REVERSAL LEARNING IN YEARLING HORSES A Thesis by JEANNA CHASTAIN FISKE Approved as to style and content by& Chai an o Committee ad oi epartment Member Nem er December 1976 ABSTRACT Discrimination...

Fiske, Jeanna Chastain

1976-01-01T23:59:59.000Z

322

Optimal quantum learning of a unitary transformation  

SciTech Connect

We address the problem of learning an unknown unitary transformation from a finite number of examples. The problem consists in finding the learning machine that optimally emulates the examples, thus reproducing the unknown unitary with maximum fidelity. Learning a unitary is equivalent to storing it in the state of a quantum memory (the memory of the learning machine) and subsequently retrieving it. We prove that, whenever the unknown unitary is drawn from a group, the optimal strategy consists in a parallel call of the available uses followed by a 'measure-and-rotate' retrieving. Differing from the case of quantum cloning, where the incoherent 'measure-and-prepare' strategies are typically suboptimal, in the case of learning the 'measure-and-rotate' strategy is optimal even when the learning machine is asked to reproduce a single copy of the unknown unitary. We finally address the problem of the optimal inversion of an unknown unitary evolution, showing also in this case the optimality of the 'measure-and-rotate' strategies and applying our result to the optimal approximate realignment of reference frames for quantum communication.

Bisio, Alessandro; Chiribella, Giulio; D'Ariano, Giacomo Mauro; Facchini, Stefano; Perinotti, Paolo [QUIT Group, Dipartimento di Fisica 'A. Volta' and INFN Sezione di Pavia, via Bassi 6, I-27100 Pavia (Italy); Perimeter Institute for Theoretical Physics, 31 Caroline Street North, Waterloo, Ontario N2L 2Y5 (Canada); QUIT Group, Dipartimento di Fisica 'A. Volta' and INFN Sezione di Pavia, via Bassi 6, I-27100 Pavia (Italy)

2010-03-15T23:59:59.000Z

323

Blended language learning in tertiary education  

Science Journals Connector (OSTI)

This paper examines the supporting and enhancing role of technology in language learning and teaching in a higher education institution in Slovenia. Despite the fact that the vast majority of foreign language teaching is still carried out in face-to-face environments, a growing extent of foreign language teaching in a number of tertiary education institutions has moved, at least partly, online. In this paper, the development of e-learning practices in Slovenia is described first, together with the evolution of computer technologies – from multimedia to the internet – and their potential for language learning and teaching purposes. Against this background, the practical application of the Blended Language Learning (BLL) experience at the Faculty of Management Koper is discussed. The paper also addresses the changing role of teachers in blended language teaching/learning environments and analyses the opinions of students who participated in a combination of Face-to-Face (F2F) and Computer-Assisted Language Learning (CALL) courses and expressed their opinions on the BLL experience in a questionnaire.

Igor Riznar

2009-01-01T23:59:59.000Z

324

Mechanical engineering COLLEGE of ENGINEERING  

E-Print Network (OSTI)

. Mechanical engineering is a broad, versatile and creative discipline concerned with conversion of energyMechanical engineering COLLEGE of ENGINEERING DepartmentofMechanicalEngineering CollegeofEngineering 5050AnthonyWayneDrive Detroit,MI48202 College of engineering t Educating future engineers for 80 years

Berdichevsky, Victor

325

Exploiting mechanical biomarkers in microfluidics  

E-Print Network (OSTI)

Exploiting mechanical biomarkers in microfluidics Xiaole Maoa and Tony Jun Huang*b DOI: 10.1039/c2 mechanical biomarkers in microfluidic devices. This trend makes sense because microfluidic devices often of mechanical biomarker- based microfluidic applications. We believe that these examples are just the tip

326

MASTER OF SCIENCE MECHANICAL ENGINEERING  

E-Print Network (OSTI)

MASTER OF SCIENCE IN MECHANICAL ENGINEERING 75 DEVELOPMENT OF A MODEL TO PREDICT AND ASSESS SURFACE Master of Science in Mechanical Engineering-December 2000 Advisors: Charles N. Calvano, Department of Mechanical Engineering David W. Byers, Naval Surface Warfare Center-Carderock Division Survivability has

327

Mechanics of Peridynamic Membranes  

National Nuclear Security Administration (NNSA)

JBAidun AdvMatSci090831 JBAidun AdvMatSci090831 1 Accurate Prediction of Dynamic Fracture with Peridynamics John B. Aidun & Stewart A. Silling Multiscale Dynamic Material Modeling Sandia National Laboratories Prague, Czech Republic August 30 - September 3, 2009 Joint U.S.-Russian Conference on Advances in Materials Science SAND2009-5095C Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000. JBAidun AdvMatSci090831 2 Fracture Mechanics Theory and Dynamic Fracture * Onset of crack growth can be accurately predicted * Crack growth speed and direction cannot! Wanted: A successful method for simulating Dynamic Fracture * Such a method must be able to reproduce the

328

Vehicle rear suspension mechanism  

SciTech Connect

A vehicle rear suspension mechanism is described which consists of: a suspension member connected with a vehicle body; wheel hub means supporting a rear wheel having a wheel center plane for rotation about a rotating axis; and connecting means for connecting the wheel hub means with the suspension member. The connecting means include ball joint means having a pivot center located forwardly of and below the rotating axis of the rear wheel and connecting the wheel hub means to the suspension member pivotably about the pivot center, first resilient means located between the wheel hub means and the suspension member rearwardly of and above the rotating axis of the rear wheel, and second resilient means located between the wheel hub means and the suspension member forwardly of and above the rotating axis of the rear wheel.

Kijima, T.; Maebayashi, J.

1986-08-05T23:59:59.000Z

329

Mechanically expandable annular seal  

DOE Patents (OSTI)

A mechanically expandable annular reusable seal assembly to form an annular hermetic barrier between two stationary, parallel, and planar containment surfaces is described. A rotatable ring, attached to the first surface, has ring wedges resembling the saw-tooth array of a hole saw. Matching seal wedges are slidably attached to the ring wedges and have their motion restricted to be perpendicular to the second surface. Each seal wedge has a face parallel to the second surface. An annular elastomer seal has a central annular region attached to the seal wedges' parallel faces and has its inner and outer circumferences attached to the first surface. A rotation of the ring extends the elastomer seal's central region perpendicularly towards the second surface to create the fluid tight barrier. A counter rotation removes the barrier. 6 figs.

Gilmore, R.F.

1983-07-19T23:59:59.000Z

330

PEBBLES Mechanics Simulation Speedup  

SciTech Connect

Pebble bed reactors contain large numbers of spherical fuel elements arranged randomly. Determining the motion and location of these fuel elements is required for calculating certain parameters of pebble bed reactor operation. These simulations involve hundreds of thousands of pebbles and involve determining the entire core motion as pebbles are recirculated. Single processor algorithms for this are insufficient since they would take decades to centuries of wall-clock time. This paper describes the process of parallelizing and speeding up the PEBBLES pebble mechanics simulation code. Both shared memory programming with the Open Multi-Processing API and distributed memory programming with the Message Passing Interface API are used in simultaneously in this process. A new shared memory lock-less linear time collision detection algorithm is described. This method allows faster detection of pebbles in contact than generic methods. These combine to make full recirculations on AVR sized reactors possible in months of wall clock time.

Joshua J. Cogliati; Abderrafi M. Ougouag

2010-05-01T23:59:59.000Z

331

E-Print Network 3.0 - advanced distributed learning Sample Search...  

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

learning Page: << < 1 2 3 4 5 > >> 1 BUILD AN EXCEPTIONAL LEARNING ENVIRONMENT Senior Advisor on Teaching and Learning and Summary: and an implementation strategy that works...

332

Learning physics in context: a study of student learning about electricity and magnetism  

E-Print Network (OSTI)

Learning physics in context: a study of student learning about electricity and magnetism This paper a novel university class in electricity and magnetism are analyzed to demonstrate the central in electricity and magnetism. Many of these students, who had passed the introductory courses with high grades

Colorado at Boulder, University of

333

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

334

Lessons Learned Quarterly Report, June 2004 | Department of Energy  

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

Lessons Learned Quarterly Report, June 2004 Lessons Learned Quarterly Report, June 2004 Lessons Learned Quarterly Report, June 2004 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. We invite your suggestions on how to improve the Lessons Learned program. Thank you for your continuing support. Articles included in this issue: "Open House" Format for Scoping Meetings Provides DOE Valuable Input for Yucca Rail EIS Lesson Learned from Lessons Learned Apply Common Sense: Reduce Unfamilar Abbreviations Carbon Sequestration Programmatic EIS The Libyan Connection: Emergency Action Needed NEPA Strategy Adjusts to Changing Circumstances Card Game Highlights Diversity at NEPA Clinic

335

Lessons Learned Quarterly Report Archive | Department of Energy  

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

Guidance & Requirements » Lessons Learned » Lessons Learned Guidance & Requirements » Lessons Learned » Lessons Learned Quarterly Report Archive Lessons Learned Quarterly Report Archive December 2, 2013 Lessons Learned Quarterly Report, December 2013 Welcome to the 77th quarterly report on lessons learned in the NEPA process. This issue reminds us that, through teamwork and dedication by DOE's NEPA community, we can produce high quality documents that enhance the Department's decisionmaking and help protect the environment. September 6, 2013 Lessons Learned Quarterly Report, September 2013 Welcome to the 76th quarterly report on lessons learned in the NEPA process. This issue features a look at DOE's NEPA performance metrics, including a historical perspective. As DOE NEPA practitioners strive to control time and cost while maintaining quality, this most recent NEPA

336

Classification of Compounds with Distinct or Overlapping Multi-Target Activities and Diverse Molecular Mechanisms Using Emerging Chemical Patterns  

Science Journals Connector (OSTI)

Classification of Compounds with Distinct or Overlapping Multi-Target Activities and Diverse Molecular Mechanisms Using Emerging Chemical Patterns ... Basic input data for building an ECP classifier consist of descriptor values of learning set compounds. ... posterior segregation family member (pos-1) ...

Vigneshwaran Namasivayam; Ye Hu; Jenny Balfer; Jürgen Bajorath

2013-05-21T23:59:59.000Z

337

Climate Change and Optimal Energy Technology Department of Mechanical and Industrial Engineering, College of Engineering, University of Massachusetts, Amherst,  

E-Print Network (OSTI)

Climate Change and Optimal Energy Technology R&D Policy Erin Baker Department of Mechanical of Massachusetts, Amherst, MA 01003, solak@som.umass.edu Public policy response to global climate change presents accounting for uncertainty and learning in climate change can have a large impact on optimal policy

Massachusetts at Amherst, University of

338

1E7 MECHANICS [5 credits] Lecturer(s): Professor Henry Rice (hrice@tcd.ie) Overall Coordinator  

E-Print Network (OSTI)

1E7 MECHANICS [5 credits] Lecturer(s): Professor Henry Rice (hrice@tcd.ie) ­ Overall Coordinator of system performance. Learning outcomes Upon completion of this module, students will be able to: design it is loaded axially; calculate the first and second moments of area of a section; calculate the stresses

O'Mahony, Donal E.

339

Separate value comparison and learning mechanisms in macaque medial and lateral orbitofrontal cortex  

Science Journals Connector (OSTI)

...decision: Consensus and controversy . Neuron 63 : 733 – 745 . 7 Price JL ( 2007 ) Definition of the orbital cortex in relation to specific connections with...from functional neuroimaging . Neuron 64 : 431 – 439 . 25 de Wit S Corlett PR Aitken MR Dickinson A Fletcher PC ( 2009 ) Differential...

M. P. Noonan; M. E. Walton; T. E. J. Behrens; J. Sallet; M. J. Buckley; M. F. S. Rushworth

2010-01-01T23:59:59.000Z

340

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

SciTech Connect

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

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

1996-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "undp-adaptation learning mechanism" 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

Scaling up: Distributed machine learning with cooperation  

SciTech Connect

Machine-learning methods are becoming increasingly popular for automated data analysis. However, standard methods do not scale up to massive scientific and business data sets without expensive hardware. This paper investigates a practical alternative for scaling up: the use of distributed processing to take advantage of the often dormant PCs and workstations available on local networks. Each workstation runs a common rule-learning program on a subset of the data. We first show that for commonly used rule-evaluation criteria, a simple form of cooperation can guarantee that a rule will look good to the set of cooperating learners if and only if it would look good to a single learner operating with the entire data set. We then show how such a system can further capitalize on different perspectives by sharing learned knowledge for significant reduction in search effort. We demonstrate the power of the method by learning from a massive data set taken from the domain of cellular fraud detection. Finally, we provide an overview of other methods for scaling up machine learning.

Provost, F.J. [NYNEX Science & Technology, White Plains, NY (United States); Hennessy, D.N. [Univ. of Pittsburgh, PA (United States)

1996-12-31T23:59:59.000Z

342

Quo Vadis Quantum Mechanics?  

Science Journals Connector (OSTI)

Quantum mechanics is one of the most successful theoretical structures in all of science. Developed between 1925-26 to explain the optical spectrum of atoms, the theory over the succeeding 80 years has been extended, first to quantum field theories, gauge field theories, and now even string theory. It is used every day by thousands of physicists to calculate physical phenomena to exquisite precision, with no ambiguity in the results. To claim that this is a theory which is not understood by those physicists is absurd. And yet, as eminent a physicist as Richard Feynman, who did as much as anyone else to extend quantum theory to field theories and was a master at producing those exquisite calculations, could say that anyone who claimed they understood quantum theory clearly did not understand quantum theory. One hundred years ago Einstein postulated one of the most unsettling features of the theory, the wave-particle duality, with his particulate explanation for light of the photoelectric effect, and an explanation which was in direct conflict with Maxwell's brilliant development of a wave, or field, theory of light. Einstein believed that the particulate nature would ultimately be explainable by some sort of non-linear theory of electromagnetism, and was outraged by the acceptance of the community of the probabilistic quantum theory. His programme was of course dealt a (near?) fatal blow by Bell's discovery that the three desiderata - a theory which agrees with experiment, a theory which is local in its effects, and a theory in which nature, at its heart, is not probabilistic - are incompatible. That discomfort felt by Einstein and by Feynman is felt by numerous other people as well. This discomfort is heightened by the fact that the theory of gravity, another of Einstein's great achievements, has resisted all efforts at reconciliation with quantum mechanics. This book explores that discomfort, and tries to pin down what the locus of that discomfort is. For many, the locus is in the probabilistic nature at the heart of the theory. Nature should surely, at some fundamental level, know what it is doing. The photon, despite our inability to measure it, should know where it is and how fast it is going. The papers by t'Hooft, Hiley, and Smolin fall into this camp. Some suspect that the macroscopic world of our immediate sense experiences, and the microscopic world of quantum phenomena, are genuinely different, that the fundamental conceptual nature of physics changes from one to the other, with some unknown boundary between them. Penrose, in his preface alludes to his speculations on this, as does Leggett to his own speculations in his paper. And a number of articles (e.g., by Hartle, Rovelli, and others) opine that if only everyone looked at quantum mechanics in the right way (their way), it would lose its mystery, and be as natural as Newton's world view. (I myself tend to this position, which is however somewhat tempered by the realization that the clarity and naturalness of my viewpoint is not shared by the others who believe equally firmly in their own natural, clear, but radically different, viewpoint). A number of articles simply examine the counterintuitive nature of quantum theory in general, using it to make sense of time travel (Greenberger and Svozil) and demonstrating the unusual features of induction about the past from present observations within quantum theory (Aharonov and Dolev). The book is not free from rather overblown titles (e.g., 'Liberation and Purification from Classical Prejudice', or 'A Quantum Theory of the Human Person') but those articles nevertheless contain at least amusing speculations. In quantum gravity, the incompatibilities between the two masterstrokes of the twentieth century are highlighted. There is a strong suspicion amongst many in this field that progress in understanding quantum gravity demands a deeper understanding of the great mystery of quantum theory which this book explores. This book is a useful and, at times, fascinating introduction to the flounderings which are taking pla

W G Unruh

2006-01-01T23:59:59.000Z

343

Bohmian Mechanics with Discrete Operators  

E-Print Network (OSTI)

A deterministic Bohmian mechanics for operators with continuous and discrete spectra is presented. Randomness enters only through initial conditions. Operators with discrete spectra are incorporated into Bohmian mechanics by associating with each operator a continuous variable in which a finite range of the continuous variable correspond to the same discrete eigenvalue. In this way Bohmian mechanics can handle the creation and annihilation of particles. Examples are given and generalizations are discussed.

R. A. Hyman; Shane A. Caldwell; Edward Dalton

2004-01-02T23:59:59.000Z

344

Parallel GPU Algorithms for Mechanical CAD  

E-Print Network (OSTI)

of California, Berkeley, Mechanical Engineering Department,GPU Algorithms for Mechanical CAD by Adarsh Krishnamurthy Aof Philosophy in Engineering - Mechanical Engineering in the

Krishnamurthy, Adarsh

2010-01-01T23:59:59.000Z

345

Mechanical and Manufacturing Engineering Mechatronics Engineering Minor  

E-Print Network (OSTI)

Mechanical and Manufacturing Engineering Mechatronics Engineering Minor Students pursuing a BSc in mechanical or manufacturing engineering have experience and entrepreneurship. Mechatronics is the synergistic combination of mechanical

Calgary, University of

346

Mechanical Behaviors of Alloys From First Principles  

E-Print Network (OSTI)

Some Backgrounds on The Quantum Mechanical Stresses . . .3.2.2 The Quantum Mechanical Stresses and The Generalized3.2.3 Quantum-Mechanical

Hanlumyuang, Yuranan

2011-01-01T23:59:59.000Z

347

MECHANICAL PROPERTIES OF POROUS PNZT POLYCRYSTALLINE CERAMICS  

E-Print Network (OSTI)

F. P. Knudsen, "Dependence of Mechanical Strength of BrittleMicrostruc- ture on the Mechanical Properties of Ceramics,"of Porosity on the Mechanical Properties of Lead Zirconate-

Biswas, D.R.

2010-01-01T23:59:59.000Z

348

Chemistry: Mechanism and Experiment - Combustion Energy Frontier...  

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

Chemistry: Mechanism and Experiment Chemistry: Mechanism and Experiment The Mechanism and Experiment DWG uses an array of advanced experimental apparatus to probe the combustion...

349

Toward an Ontology-aware Support for Learning-Oriented Knowledge Management  

E-Print Network (OSTI)

the meaning of knowledge and the progress of organizational learning, it can provides appropriate support individual learning and organizational learning, it supports knowledge acquisition and creation- tion and use of knowledge and externalization of its product, and organizational learning, which

Mizoguchi, Riichiro

350

INL '@work' heavy equipment mechanic  

ScienceCinema (OSTI)

INL's Cad Christensen is a heavy equipment mechanic. For more information about INL careers, visit http://www.facebook.com/idahonationallaboratory.

Christensen, Cad

2013-05-28T23:59:59.000Z

351

Mechanical Behavior of Indium Nanostructures  

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

Mechanical Behavior of Indium Nanostructures Print Indium is a key material in lead-free solder applications for microelectronics due to its excellent wetting properties, extended...

352

Training and Learning Resources | Open Energy Information  

Open Energy Info (EERE)

Training and Learning Resources Training and Learning Resources Jump to: navigation, search Where can I learn more about clean energy technologies? The trainings, websites, presentations and publications listed below provide general and technical information on clean energy technologies, as well as policy, market and financial information to better inform clean energy decisions. Contents 1 Featured Training Resources 1.1 Clean Energy 1.1.1 Cross-cutting 1.1.2 Energy Efficiency 1.1.3 Renewable Energy 1.2 Energy Modeling 1.3 Local Planning 1.4 Sustainable Development and Climate Change 2 Featured Presentations 2.1 Biomass 2.2 Solar 2.3 Planning 3 Featured Websites 4 Search by Sector 5 Search All Resources 6 Country-Specific Training Programs 7 Add Resources Featured Training Resources Clean Energy

353

Lessons Learned from Independent Verification Activities  

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

Demonstration Demonstration Oak Ridge Institute for Science and Education - Independent Verification Lessons Learned IV - performed at nine DOE sites from 2004 to 2008 Page 1 of 2 Oak Ridge Institute for Science and Education Multiple Sites Lessons Learned from Independent Verification Activities Challenge The Department of Energy clears property from radiological control after the property has been demonstrated to meet the Department's stringent radiation protection requirements. Radiological surveys are used to demonstrate compliance with the requirements. Independent verification (IV) activities are conducted by an independent third party as a quality check on radiological surveys procedures and practices. The Oak Ridge Institute for Science and Education (ORISE) performs independent verification for the Department. In this lessons learned report, ORISE summarizes their

354

Renewable Energy Online Learning | Department of Energy  

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

Education and Training » Renewable Energy Online Education and Training » Renewable Energy Online Learning Renewable Energy Online Learning Curriculum for Tribes The Office of Indian Energy has developed an educational training program that provides tribal leaders and professionals with an overview of the project development process and financing of renewable energy projects on tribal lands. The curriculum includes two tracks: Foundational Courses Learn about renewable energy technologies, strategic energy planning, and electrical grid basics. Advanced Courses Get in-depth information on tribal project development and financing for various project scales. The curriculum can be accessed any time either by clicking on the links to the right or visiting the National Training & Education Resource (NTER)

355

Stakeholder Engagement and Outreach: Learn About Wind  

Wind Powering America (EERE)

About Wind Power Locating Wind Power Getting Wind Power Installed Wind Capacity Wind for Schools Project Collegiate Wind Competition School Project Locations Education & Training Programs Curricula & Teaching Materials Resources Learn About Wind Learn about how wind energy generates power; where the best wind resources are; how you can own, host, partner with, and support wind power; and how and where wind energy has increased over the past decade. What Is Wind Power? Learn about how wind energy generates power, about wind turbine sizes and how wind turbines work, and how wind energy can be used. Also read examples of financial and business decisions. Where Is Wind Power? Go to maps to see the wind resource for utility-, community-, and residential-scale wind development. Or, see how much energy wind projects

356

Marine Mechanical Engineer Full Time Position Wanted: Marine Mechanical Engineer  

E-Print Network (OSTI)

the following; Marine Systems Design and Engineering (fuel, water, HVAC, compressed air, exhaust, lube oil, etcMarine Mechanical Engineer Full Time Position Wanted: Marine Mechanical Engineer Boksa Marine Design, Inc. is a growing naval architecture and marine engineering firm specializing in the design

Eustice, Ryan

357

Department of Mechanical and Materials Engineering Mechanical Engineering Program  

E-Print Network (OSTI)

Department of Mechanical and Materials Engineering Mechanical Engineering Program pdx 214 PH 215 PH216 CH 227 CH 228 Engineering / Computer Science Requirements Freshmen Engineering STATICS EAS 211 STREN DYNAM -ICS EAS 215 ENGR APPLIED HEAT CAPSTONE OF MAT THERMO FLUID TRANS ME 491 ME ME

Bertini, Robert L.

358

Department of Mechanical and Materials Engineering Mechanical Engineering Program  

E-Print Network (OSTI)

Department of Mechanical and Materials Engineering Mechanical Engineering Program pdx.edu/mme/undergraduate-mme Possible 4 Year Course Plan FRESHMAN SOPHOMORE JUNIOR SENIOR FALL WINTER SPRING FALL WINTER SPRING FALL WINTER SPRING FALL WINTER SPRING Math / Science Requirements CALCULUS LINEAR CALC DIF ALG IV EQ I STAT

Latiolais, M. Paul

359

Very Large System Dynamics Models - Lessons Learned  

SciTech Connect

This paper provides lessons learned from developing several large system dynamics (SD) models. System dynamics modeling practice emphasize the need to keep models small so that they are manageable and understandable. This practice is generally reasonable and prudent; however, there are times that large SD models are necessary. This paper outlines two large SD projects that were done at two Department of Energy National Laboratories, the Idaho National Laboratory and Sandia National Laboratories. This paper summarizes the models and then discusses some of the valuable lessons learned during these two modeling efforts.

Jacob J. Jacobson; Leonard Malczynski

2008-10-01T23:59:59.000Z

360

Lessons Learned Quarterly Report, March 2004 | Department of Energy  

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

Lessons Learned Quarterly Report, March 2004 Lessons Learned Quarterly Report, March 2004 Lessons Learned Quarterly Report, March 2004 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. We invite your suggestions on how to improve the Lessons Learned program. Thank you for your continuing support. Included in this issue: New, Improved "Green Book" Is on the Way Modern Pit Facility Final EIS Delayed NNSA Withdraws FONSI for LANL Biosafety Lab BLM Programmatic EIS On Wind Energy Lesson Learned about Schedule and Teamwork CEQ Chair Emphasizes NEPA's "Productive Harmony" Goal Supporting Flexible Decisionmaking in Practice NEPA Champions Brief Congressional Staff

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361

113 Lab Learning Objectives Week 5: synthetic lab #4  

E-Print Network (OSTI)

113 Lab Learning Objectives Week 5: synthetic lab #4 Learning Objectives for Promoter Discovery the information contained within promoters. · Use protocols for molecular biology to clone DNA. · Interpret

Campbell, A. Malcolm

362

113 Lab Learning Objectives Week 8: synthetic lab #7  

E-Print Network (OSTI)

113 Lab Learning Objectives Week 8: synthetic lab #7 Learning Objectives for Promoter Discovery Selection Skills · Read DNA sequence and search for SNPs using ApE software. · Determine your PTC tasting

Campbell, A. Malcolm

363

Independent perceptual learning in monocular and binocular motion systems  

Science Journals Connector (OSTI)

...appears to be inconsistent with the functional architecture of human motion perception. Based on different temporal modulation transfer...linear regressions of the learning curves, consistent with power-law learning (33–35). Fig. 2. Results. (a...

Zhong-Lin Lu; Wilson Chu; Barbara Anne Dosher; Sophia Lee

2005-01-01T23:59:59.000Z

364

Learning classifier systems: a complete introduction, review, and roadmap  

Science Journals Connector (OSTI)

If complexity is your problem, learning classifier systems (LCSs) may offer a solution. These rule-based, multifaceted, machine learning algorithms originated and have evolved in the cradle of evolutionary biology and artificial intelligence. The LCS ...

Ryan J. Urbanowicz; Jason H. Moore

2009-01-01T23:59:59.000Z

365

Free online training and HUD videos on DVU Learning Channel!  

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

SlideRule and Government Learning Videos (offered by HUD) are now available on the DVU Learning Channel.  SlideRule offers free college-level courses from universities around the world available...

366

Machine Learning Algorithms for Cancer Diagnosis Abraham Karplus  

E-Print Network (OSTI)

Machine Learning Algorithms for Cancer Diagnosis Abraham Karplus Santa Cruz County Science Fair . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Machine Learning 5 Testing Methods Conclusion 15 Future Work 16 Acknowledgements 17 External software 18 References 19 2 #12;Overview Machine

Karplus, Kevin

367

New Report: Early Lessons Learned in Bringing SSL to Market ...  

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

Learned in Bringing SSL to Market New Report: Early Lessons Learned in Bringing SSL to Market February 4, 2014 - 12:00am Addthis The U.S. Department of Energy (DOE) has...

368

Distributed Online Learning of Central Pattern Generators in Modular Robots  

Science Journals Connector (OSTI)

In this paper we study distributed online learning of locomotion gaits for modular robots. The learning is based on a stochastic approximation method, SPSA, which optimizes the parameters of coupled oscillator...

David Johan Christensen; Alexander Spröwitz…

2010-01-01T23:59:59.000Z

369

CSP Based E-Learning Model in Cloud Computing Environment  

Science Journals Connector (OSTI)

Cloud computing technology is widely used for system service, web service, e-learning system and all kinds of software to services using the internet. In this paper, we propose e-learning system in cloud computin...

HwaYoung Jeong; BongHwa Hong

2012-01-01T23:59:59.000Z

370

Novak's Theory of Education: Human Constructivism and Meaningful Learning  

Science Journals Connector (OSTI)

Novak's Theory of Education: Human Constructivism and Meaningful Learning ... Learning Theories ... They fail to recognize relevant cues in making judgments and decisions about the properties of chemical substances and processes, and make hasty ... ...

Stacey Lowery Bretz

2001-08-01T23:59:59.000Z

371

INCREMENTAL LEARNING OF NDE SIGNALS WITH CONFIDENCE ESTIMATION  

E-Print Network (OSTI)

INCREMENTAL LEARNING OF NDE SIGNALS WITH CONFIDENCE ESTIMATION Robi Polikar Department evaluation (NDE) applications resort to pattern recognition and machine learning algorithms for automated classification and characterization of NDE signals. Applications of such systems include defect identification

Polikar, Robi

372

Native Learning Center Indian Housing Training Conference | Department...  

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

Native Learning Center Indian Housing Training Conference Native Learning Center Indian Housing Training Conference August 19, 2014 12:00PM EDT to August 21, 2014 9:00PM EDT...

373

Briefing: DOE EM ITR Landfill Assessment Project Lessons Learned...  

Energy Savers (EERE)

Briefing: DOE EM ITR Landfill Assessment Project Lessons Learned Briefing: DOE EM ITR Landfill Assessment Project Lessons Learned By: Craig H. Benson, PhD, PE Where: EM SSAB...

374

Social learning of novel route preferences in adult humans  

Science Journals Connector (OSTI)

...behaviour|cultural transmission|route learning| 1...as learning by route following, and...message that cultural transmission need not require...Experiments 1-2 (equal routes) and (b,c...routes). Solid lines, demonstrated...

2008-01-01T23:59:59.000Z

375

E-Print Network 3.0 - assisted problem-based learning Sample...  

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

learning... Implementation of pedagogical principles into the software design process of e-learning... -trykk, Trondheim 12;...

376

10.1101/lm.028183.112Access the most recent version at doi: 2013 20: 97-102Learn. Mem.  

E-Print Network (OSTI)

10.1101/lm.028183.112Access the most recent version at doi: 2013 20: 97-102Learn. Mem. E. James South Wales, Sydney 2052, Australia; 2 Department of Mechanical and Aerospace Engineering and Princeton Sciences, University of Alberta, Edmonton, T6G 2E8, Canada Rabbits were classically conditioned using

Sutton, Richard S.

377

Better Buildings Residential Network: Lessons Learned: Peer Exchange Calls  

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

Better Buildings Residential Network: Lessons Learned: Peer Exchange Calls, from the U.S. Department of Energy.

378

Rapid learning in cortical coding of visual scenes  

E-Print Network (OSTI)

firing patterns of single or multiple neurons recorded during the learning period are observed in the neural circuit

Yao, Haishan; Shi, Lei; Han, Feng; Gao, Hongfeng; Dan, Yang

2007-01-01T23:59:59.000Z

379

Going Deep Green: A Whole House Approach- Lessons Learned  

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

Provides an overview of the SustainableWorks program based in Puget Sound and Spokane, Washington, including lessons learned.

380

FCV Learning Demonstration: Factors Affecting Fuel Cell Degradation (Presentation)  

SciTech Connect

Presentation on the NREL Fuel Cell Vehicle learning demonstration prepared for the 2008 ASME Fuel Cell Conference.

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

2008-06-18T23:59:59.000Z

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to obtain the most current and comprehensive results.


381

Refueling Infrastructure for Alternative Fuel Vehicles: Lessons Learned for Hydrogen  

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

Presented at Refueling Infrastructure for Alternative Fuel Vehicles: Lessons Learned for Hydrogen Conference, April 2-3, 2008, Sacramento, California

382

Refueliing Infrastructure for Alternative Fuel Vehicles: Lessons Learned for Hydrogen  

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

Agenda for Refueling Infrastructure for Alternative Fuel Vehicles: Lessons Learned for Hydrogen Conference, April 2-3, 2008, Sacramento, California

383

Info-Exch 2012- Sites Lessons Learned Presentation  

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

Sites around the DOE complex funded by the EM Recovery Act Program provided lessons learned during the 2012 Information Exchange.

384

Fluid Mechanics and Homeland Security  

E-Print Network (OSTI)

Fluid Mechanics and Homeland Security Gary S. Settles Mechanical and Nuclear Engineering Department and sampling, explosive detection, microfluidics and labs-on-a-chip, chem- ical plume dispersal in urban security combines established fluids topics like plume dispersion with others that are new

Settles, Gary S.

385

Montana State University 1 Mechanical Engineering  

E-Print Network (OSTI)

, the mechanical engineering technologist provides the professional services needed in transforming the resultsMontana State University 1 Mechanical Engineering Technology The mission of the Mechanical Engineering Technology (MET) program is to prepare students for successful Mechanical Engineering

Maxwell, Bruce D.

386

Mechanical Engineering Department 06 November 2013  

E-Print Network (OSTI)

Mechanical Engineering Department Lecture 03 06 November 2013 WORCESTER POLYTECHNIC INSTITUTE MECHANICAL ENGINEERING DEPARTMENT Optical Metrology and NDT ME-593L, B'2013 #12;Mechanical Engineering Possible longitudinal resonant modes (cavity length = L) #12;Mechanical Engineering Department Lasers

Furlong, Cosme

387

Mechanical Engineering Department WORCESTER POLYTECHNIC INSTITUTE  

E-Print Network (OSTI)

Mechanical Engineering Department WORCESTER POLYTECHNIC INSTITUTE MECHANICAL ENGINEERING DEPARTMENT STRESS ANALYSIS ES-2502, C'2012 Lecture 15: 07 February 2012 #12;Mechanical Engineering Department Popova tpopova@wpi.edu #12;Mechanical Engineering Department Stress concentrations Ripping open candy

Furlong, Cosme

388

Mechanical Engineering Department WORCESTER POLYTECHNIC INSTITUTE  

E-Print Network (OSTI)

Mechanical Engineering Department WORCESTER POLYTECHNIC INSTITUTE MECHANICAL ENGINEERING DEPARTMENT STRESS ANALYSIS ES-2502, C'2012 Lecture 20: 20 February 2012 #12;Mechanical Engineering Department Popova tpopova@wpi.edu #12;Mechanical Engineering Department Bending Deformation of a component subjected

Furlong, Cosme

389

Mechanical Engineering Department WORCESTER POLYTECHNIC INSTITUTE  

E-Print Network (OSTI)

Mechanical Engineering Department WORCESTER POLYTECHNIC INSTITUTE MECHANICAL ENGINEERING DEPARTMENT STRESS ANALYSIS ES-2502, C'2012 Lecture 14: 06 February 2012 #12;Mechanical Engineering Department Popova tpopova@wpi.edu #12;Mechanical Engineering Department Stress concentrations Ripping open candy

Furlong, Cosme

390

Time rather than sleep appears to enhance off-line learning and transfer of learning of an implicit continuous task  

E-Print Network (OSTI)

There is increasing evidence that sleep promotes off-line enhancement of a variety of explicitly learned motor tasks in young adults. However, whether sleep promotes off-line consolidation of implicitly learned motor tasks is still under question...

Al-Sharman, Alham Jehad; Siengsukon, Catherine F.

2014-03-05T23:59:59.000Z

391

The Use of Learning Objects and Learning Styles in a Multi-Agent Education Shanghua Sun, Mike Joy, Nathan Griffiths  

E-Print Network (OSTI)

of learning object classification. 1. Introduction Advanced information technologies are increasingly used in higher education to facilitate learning and teaching, but inadequacies exist in current systems and asynchronous teaching methods. Although there are many educational technology projects, both stand

Griffiths, Nathan

392

Analysis of Role Behavior in Collaborative Network Learning  

Science Journals Connector (OSTI)

In the collaborative learning environment, role behavior brings on occurrence, development, and disappearance of collaborative learning. In this paper, we first introduce WF-net to describe role behavior in collaborative learning, and then indicate relations ... Keywords: Awareness of role, CSCL, Object, WF-net

Xiaoshuang Xu; Jun Zhang; Egui Zhu; Feng Wang; Ruiquan Liao; Kebin Huang

2008-06-01T23:59:59.000Z

393

Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions  

E-Print Network (OSTI)

Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions Rishabh Iyer a submodular function everywhere, learning a submodular function (in a PAC-like setting [52]), and constrained of the function (for approximation and learning), or a transformation of algorithms to use an appropriate

Noble, William Stafford

394

Reinforcement learning of ball screw feed drive controllers  

Science Journals Connector (OSTI)

Feedback controllers for ball screw feed drives may provide great accuracy in positioning, but have no close analytical solution to derive the desired controller. Reinforcement Learning (RL) is proposed to provide autonomous adaptation and learning of ... Keywords: Ball screw feed drive, Feedback control, Reinforcement learning

Borja Fernandez-Gauna, Igor Ansoategui, Ismael Etxeberria-Agiriano, Manuel Graña

2014-04-01T23:59:59.000Z

395

Cooperative Spectrum Sensing Using Q-Learning with Experimental Validation  

E-Print Network (OSTI)

approach is effective. This work is a part of the efforts toward building a cognitive radio network testbed-learning [9], [10] is one of the algorithms in the reinforcement learning family of machine learning selection without negotiations among secondary users for multi-user and multi-channel CR systems. Both

Qiu, Robert Caiming

396

Learning from label proportions by optimizing cluster model selection  

Science Journals Connector (OSTI)

In a supervised learning scenario, we learn a mapping from input to output values, based on labeled examples. Can we learn such a mapping also from groups of unlabeled observations, only knowing, for each group, the proportion of observations with a ...

Marco Stolpe; Katharina Morik

2011-09-01T23:59:59.000Z

397

Mobile Learning Initiative Year-End Report Boise State University  

E-Print Network (OSTI)

Mobile Learning Initiative Year-End Report Boise State University August 2012 As we mark the first year of the Mobile Learning Initiative (MLI) at Boise State University, we celebrate the work of many year initiative designed to focus our institutional attention on the implementation of mobile learning

Barrash, Warren

398

fCourse: Learn to Swim Level 5: Stroke Refinement  

E-Print Network (OSTI)

fCourse: Learn to Swim Level 5: Stroke Refinement Purpose To further learn how to coordinate and refine strokes Prerequisites Valid American Red Cross Learn-to-Swim Level 4: Fundamental Aquatic Skills Shallow-angle dive from the side then glide and begin a front stroke Tuck and pike surface dives, submerge

Hemmers, Oliver

399

Collaborative learning in multi-user virtual environments  

Science Journals Connector (OSTI)

Multi-user virtual environments (MUVEs) have captured the attention and interest of educators as remote collaborative learning environments due to their immersion, interaction and communication capabilities. However, productive learning interactions ... Keywords: 3D virtual worlds, Collaborative learning techniques and platforms, Collaborative workflows and applications, Collaborative workspaces and applications

María Blanca Ibáñez; José J. García Rueda; David Maroto; Carlos Delgado Kloos

2013-11-01T23:59:59.000Z

400

Machine Learning for Market Microstructure and High Frequency Trading  

E-Print Network (OSTI)

Machine Learning for Market Microstructure and High Frequency Trading Michael Kearns Yuriy Nevmyvaka 1 Introduction In this chapter, we overview the uses of machine learning for high frequency trading and market microstructure data and problems. Machine learning is a vibrant subfield of computer

Plotkin, Joshua B.

Note: This page contains sample records for the topic "undp-adaptation learning mechanism" from the National Library of EnergyBeta (NLEBeta).
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401

MACHINE LEARNING AND MAPPING ALGORITHMS APPLIED TO PROTEOMICS PROBLEMS  

E-Print Network (OSTI)

MACHINE LEARNING AND MAPPING ALGORITHMS APPLIED TO PROTEOMICS PROBLEMS By William Shane Sanders;MACHINE LEARNING AND MAPPING ALGORITHMS APPLIED TO PROTEOMICS PROBLEMS By William Shane Sanders Approved Title of Study: MACHINE LEARNING AND MAPPING ALGORITHMS APPLIED TO PROTEOMICS PROBLEMS Pages in Study

Ray, David

402

Anchored Interactive Learning Environments Department of Computer Science  

E-Print Network (OSTI)

-based environments facilitate sustained learning by active learners. The design and implementation of Adventure-assisted instruction designed to facilitate generative and sustained learning in an interactive multi-media environmentAnchored Interactive Learning Environments Thad Crews Department of Computer Science Western

403

Conference of Learned Societies Committee on Arrangements fonds  

E-Print Network (OSTI)

Conference of Learned Societies Committee on Arrangements fonds Revised by Erwin Wodarczak (2009 Description Conference of Learned Societies Committee on Arrangements fonds. - 1963-1965. 6 cm of textual records. Administrative History The 1965 Conference of Learned Societies was held at UBC. The UBC

Handy, Todd C.

404

Toward Infusing Modular and Reflective Design Learning throughout the Curriculum  

E-Print Network (OSTI)

Toward Infusing Modular and Reflective Design Learning throughout the Curriculum John C. Georgas intervention that cen- ters on the widespread infusion of design learning throughout the curriculum using: An emphasis on broadly infusing design learning through the curriculum using modular design challenges

Georgas, John

405

Power-games and organizational learning: Lessons for Organizations Management .  

E-Print Network (OSTI)

1 Power-games and organizational learning: Lessons for Organizations Management . Thierry LEVY Learning; Management. hal-00848674,version1-27Jul2013 #12;2 Power-games and organizational learning-Economic approach, Henri SAVALL (1981) developed. KEY-WORDS: Game-Theory; Conflicts; Negotiation, Organizational

Paris-Sud XI, Université de

406

A Goal-Based Approach for Learning in Business Processes  

E-Print Network (OSTI)

performance over time is also associated with the concept of organizational learning, defined as the capacity Ghattas and Mor Peleg The knowledge can become shared by others to support organizational learning by embedding it in a process model which evolves over time. Organizational learning and business process

Peleg, Mor

407

Hot context for organizational learning Charlotte FILLOL, Phd Student  

E-Print Network (OSTI)

1 Hot context for organizational learning Charlotte FILLOL, Phd Student CREPA, Research center.fillol@dauphine.fr ABSTRACT The organizational learning, studied in resource-based view, is a strategic resource (Wernerfelt 1999, Heraty 2005), and encouraging organizational learning become major issues in management sciences

Paris-Sud XI, Université de

408

LEARNING WITHIN AND AMONG ORGANIZATIONS Kathleen M. Carley  

E-Print Network (OSTI)

and the way in which networks evolve reflect itself in organizational and population level learning. What of change at the individual level. Looking at learning and information diffusion enables the organizational theorist to link micro and macro level organizational phenomena. #12;- 1 - LEARNING WITHIN AND AMONG

Sadeh, Norman M.

409

July 22, 2010 UC Learning Center is now Operational  

E-Print Network (OSTI)

July 22, 2010 UC Learning Center is now Operational The UC Learning Center, powered by SumTotal, has now replaced HealthStream as the UC Davis Health System's learning management system (LMS). The UC mandatory training classes assigned to you · View a list of classes for which you are waitlisted · Class

Leistikow, Bruce N.

410

Thermoelectric Mechanical Reliability | Department of Energy  

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

Thermoelectric Mechanical Reliability Thermoelectric Mechanical Reliability 2010 DOE Vehicle Technologies and Hydrogen Programs Annual Merit Review and Peer Evaluation Meeting,...

411

Mechanical Characterization of Fuel Injector Piezoactuators and...  

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

Mechanical Characterization of Fuel Injector Piezoactuators and their Piezoceramics Mechanical Characterization of Fuel Injector Piezoactuators and their Piezoceramics 2007 Diesel...

412

Thermoelectric Mechanical Reliability | Department of Energy  

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

Thermoelectric Mechanical Reliability Thermoelectric Mechanical Reliability 2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation...

413

A laboratory work: A teaching robot arm for mechanics and electronic circuits  

E-Print Network (OSTI)

Mechanics and electronic systems can be applied to the physical models to understand the physical phenomena for students in laboratory. In this paper we have developed a robot arm for a laboratory experiment, where students learn how to design a human arm and fingers with basic knowledge of the mechanics and electronics. This experiment culminates in an exhibition tie together aspects of a surprisingly wide range of disciplines and represents an alternative vision of how robot arm design can be used to teach both physics and electric/electronic engineering. A new tool is described that combines the mechanical arrangement with an electronic control circuit and it is shown that this can be readily used as an instructional tool in the physics laboratory to teach the law of mechanics and basic electronic devices for both teacher and students.

Sise, O

2005-01-01T23:59:59.000Z

414

A laboratory work: A teaching robot arm for mechanics and electronic circuits  

E-Print Network (OSTI)

Mechanics and electronic systems can be applied to the physical models to understand the physical phenomena for students in laboratory. In this paper we have developed a robot arm for a laboratory experiment, where students learn how to design a human arm and fingers with basic knowledge of the mechanics and electronics. This experiment culminates in an exhibition tie together aspects of a surprisingly wide range of disciplines and represents an alternative vision of how robot arm design can be used to teach both physics and electric/electronic engineering. A new tool is described that combines the mechanical arrangement with an electronic control circuit and it is shown that this can be readily used as an instructional tool in the physics laboratory to teach the law of mechanics and basic electronic devices for both teacher and students.

Omer Sise

2005-03-23T23:59:59.000Z

415

Y(5S): What has been learned and what can be learned  

E-Print Network (OSTI)

We present recent measurements of B and B^0_s production using data collected on the Y(5S) resonance at CLEO and Belle. We also briefly discuss what can be learned using sufficiently larger data samples in the future.

S. R. Blusk

2007-05-02T23:59:59.000Z

416

Robots learning to manipulate: real-time application-oriented algorithms using feature-based and machine learning techniques  

E-Print Network (OSTI)

Machine Learning in Robotics . . . . . . . . . . . . . . .Models from the Robotics Community . . . . . . . .International Conference on Robotics and Automation, p. xvii

Balaguer, Benjamin Daniel

2012-01-01T23:59:59.000Z

417

Lessons Learned: Pangue Hydroelectric | Open Energy Information  

Open Energy Info (EERE)

Lessons Learned: Pangue Hydroelectric Lessons Learned: Pangue Hydroelectric Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Lessons Learned: Pangue Hydroelectric Agency/Company /Organization: International Finance Corporation Sector: Energy Focus Area: Renewable Energy, Hydro Topics: Background analysis Resource Type: Lessons learned/best practices Website: www.ifc.org/ifcext/sustainability.nsf/AttachmentsByTitle/p_pangue_summ Country: Chile UN Region: Latin America and the Caribbean Coordinates: -35.675147°, -71.542969° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":-35.675147,"lon":-71.542969,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

418

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

419

Reinforcement Learning in Robotics: J. Andrew Bagnell  

E-Print Network (OSTI)

Systems, Department of Empirical Inference, Spemannstr. 38, 72076 Tübingen, Germany ¶ Technische Universität Darmstadt, FB Informatik, FG Intelligent Autonomous Systems, Hochschulstr. 10, 64289 Darmstadt robots. (a) The OBELIX robot is a wheeled mobile robot that learned to push boxes (Mahadevan and Connell

Jegelka, Stefanie

420

CS229 Lecture notes Supervised learning  

E-Print Network (OSTI)

Portland, Oregon: Living area (feet2 ) Price (1000$s) 2104 400 1600 330 2400 369 1416 232 3000 540 of supervised learning problems. Suppose we have a dataset giving the living areas and prices of 47 houses from ... ... We can plot this data: 500 1000 1500 2000 2500 3000 3500 4000 4500 5000 0 100 200 300 400 500 600 700

Kosecka, Jana

Note: This page contains sample records for the topic "undp-adaptation learning mechanism" 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

Learning a semantic database from unstructured text  

E-Print Network (OSTI)

In this paper, we aim to learn a semantic database given a text corpus. Specifically, we focus on predicting whether or not a pair of entities are related by the hypernym relation, also known as the 'is-a' or 'type-of' ...

Dhandhania, Keshav

2014-01-01T23:59:59.000Z

422

Learning discriminative localization from weakly labeled data  

Science Journals Connector (OSTI)

Visual categorization problems, such as object classification or action recognition, are increasingly often approached using a detection strategy: a classifier function is first applied to candidate subwindows of the image or the video, and then the ... Keywords: Discriminative discovery, Event detection, Image classification, Object detection, Time series classification, Weakly supervised learning

Minh Hoai; Lorenzo Torresani; Fernando De La Torre; Carsten Rother

2014-03-01T23:59:59.000Z

423

Learning Commons Project Team Report Abridged Version  

E-Print Network (OSTI)

, central space dedicated to the enrichment of all. In the context of a public institution of higher established to foster the learning of all. The university library is an example of a common space where each education, such as the University of Connecticut, a commons might be conceived as a space formally

Lozano-Robledo, Alvaro

424

PHYSICS PROBLEM SOLVING COOPERATIVE LEARNING GROUPS  

E-Print Network (OSTI)

PHYSICS PROBLEM SOLVING IN COOPERATIVE LEARNING GROUPS A THESIS SUBMITTED TO THE FACULTY OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY December, 1995 #12;PHYSICS PROBLEM SOLVING IN COOPERATIVE Planck Institute, graciously agreed to my videotaping of his Physics 1041 and 1042 students. When I

Minnesota, University of

425

Learning Motor Skills: From Algorithms to Robot  

E-Print Network (OSTI)

Learning Motor Skills: From Algorithms to Robot Experiments Erlernen Motorischer Fähigkeiten: Von Algorithmen zu Roboter-Experimenten Zur Erlangung des akademischen Grades Doktor-Ingenieur (Dr Motor Skills: From Algorithms to Robot Experiments Erlernen Motorischer Fähigkeiten: Von Algorithmen zu

426

Lessons Learned Quarterly Report, December 2012  

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

Welcome to the 73rd quarterly report on lessons learned in the NEPA process. In this issue, we highlight practices of DOE’s NEPA Community that help ensure the quality of our NEPA reviews. Emphasizing quality throughout the NEPA process is essential to meeting schedules and providing useful information to the public and decisionmakers.

427

Learning Minimum Volume Sets Clayton Scott  

E-Print Network (OSTI)

Learning Minimum Volume Sets Clayton Scott Statistics Department Rice University Houston, TX 77005 herein are primarily of theoretical interest, although they may be implemented e#eciently for certain measure based on S: # P (G) = (1/n) # n i=1 I(X i # G). Here I(·) is the indicator function. Set µ

Scott, Clayton

428

Medical image classification with multiple kernel learning  

Science Journals Connector (OSTI)

Nowadays, medical images are generated by hospitals and medical centers rapidly. The large volume of medical image data produces a strong need to effective medical image retrieval. The visual characteristic of medical image, such as modality, anatomical ... Keywords: feature fusion, image classification, medical imaging, multiple kernel learning

Hong Wu; Hao Zhang; Chao Li

2010-12-01T23:59:59.000Z

429

LEARN MORE @ CENTRALINA CLEAN FUELS COALITION  

E-Print Network (OSTI)

ALTERNATIVE FUELS AND ADVANCED VEHICLES DATA CENTER www.afdc.energy.gov/afdc U.S. DEPT OF ENERGY FUEL ECONOMY. [Award # DE-EE0002491]. Support for alternative fuel vehicles and infrastructure projects is facilitatedLEARN MORE @ ETHANOL E85 CENTRALINA CLEAN FUELS COALITION www.4cleanfuels.com GROWTH ENERGY www

430

The Machine Learning and Traveling Repairman Problem  

E-Print Network (OSTI)

The goal of the Machine Learning and Traveling Repairman Problem (ML&TRP) is to determine a route for a “repair crew,” which repairs nodes on a graph. The repair crew aims to minimize the cost of failures at the nodes, but ...

Tulabandhula, Theja

431

Lessons learned from existing biomass power plants  

SciTech Connect

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

Wiltsee, G.

2000-02-24T23:59:59.000Z

432

Handbook of Research on Machine Learning  

E-Print Network (OSTI)

Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods of the trademark or registered trademark. Library of Congress Cataloging-in-Publication Data Handbook of research and complex data point cloud. ABStrAct In many physical, statistical, biological and other investigations

433

LEARNING BY DOING WITH SIMULATED INTELLIGENT HELP  

E-Print Network (OSTI)

ARTICLES LEARNING BY DOING WITH SIMULATED INTELLIGENT HELP Intelligent advisory interfaces will afford new approaches to help and training problems, however little is known about the usability of such facilities. This recent study indicates that although intelligent help can support users, there are also

Carroll, John M.

434

MARKETING COURSES Student Learning Outcomes1  

E-Print Network (OSTI)

MARKETING COURSES Student Learning Outcomes1 MKT 370: Marketing At the end of this course students should be able to: 1. Define and apply knowledge of the following key marketing concepts: the marketing concept market segmentation target marketing positioning branding buying behavior in consumer

Gallo, Linda C.

435

Learning Optical Flow Deqing Sun1  

E-Print Network (OSTI)

Learning Optical Flow Deqing Sun1 , Stefan Roth2 , J.P. Lewis3 , and Michael J. Black1 1 Department III, LNCS 5304, pp. 83­97, 2008. c Springer-Verlag Berlin Heidelberg 2008 #12;84 D. Sun et al. several

Black, Michael J.

436

Knowledge Representation Representation Formalisms in Machine Learning  

E-Print Network (OSTI)

, impressions...But were we to utilize fully our capacity for registering the differences in things around us into classes... The process of categorizing involves ... an act of invention... If we have a tool for further use. The learning and utilization of categories represents one of the most elementary

Sammut, Claude

437

SF STATE Extended Learning INFORMATION SYSTEMS (GIS)  

E-Print Network (OSTI)

SF STATE Extended Learning 2013/2014 GEOGRAPHIC INFORMATION SYSTEMS (GIS) at San Francisco State University Jerry Davis, Director | Seth Hiatt, Associate Director (415) 338-3566, email igisc@sfsu.edu, www.cel.sfsu.edu/gis/ Also offering a new certificate: GIS Certificate in Environmental Analysis The use of geographic

438

z Transform Chapter Intended Learning Outcomes  

E-Print Network (OSTI)

z Transform Chapter Intended Learning Outcomes: (i) Understanding the relationship between transform and the Fourier transform for discrete-time signals (ii) Understanding the characteristics and properties of transform (iii) Ability to compute transform and inverse transform (iv) Ability to apply

So, Hing-Cheung

439

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

440

Innovation Through Collaboration:Higher Learning  

E-Print Network (OSTI)

Innovation Through Collaboration:Higher Learning Commission ·The Criteria for Accredita Collaboration: Criteria ·Criterion One: Mission and Integrity ·Criterion Two: Preparing: Acquisi/on, Discovery, and Applica/on of Knowledge #12;Innovation Through Collaboration

Zhou, Yaoqi

Note: This page contains sample records for the topic "undp-adaptation learning mechanism" 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

Nuclear Engineering Student Learning Outcome Assessment Report  

E-Print Network (OSTI)

1 Nuclear Engineering Student Learning Outcome Assessment Report 1. Program mission The Nuclear and graduate education to tomorrow's leaders in nuclear engineering. The program provides well-educated nuclear engineering professionals and leaders to Missouri and the nation in the commercial nuclear industry, national

Missouri-Rolla, University of

442

Lessons Learned Quarterly Report, September 1997  

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

Welcome again to the Quarterly Report on lessons learned in the NEPA process. This issue features NEPA success stories from field organizations: how the NEPA process helped resolve cultural resource protection issues at Fernald, and how innovative approaches are aiding preparation of a Site-wide EIS for Sandia, New Mexico.

443

Running Head: WHAT ARE LEARNING MANAGEMENT SYSTEMS 1 An Argument for Clarity: What are Learning Management Systems, What are They Not,  

E-Print Network (OSTI)

Running Head: WHAT ARE LEARNING MANAGEMENT SYSTEMS 1 An Argument for Clarity: What are Learning Management Systems, What are They Not, and What Should They Become? William R. Watson Indiana University. Indianapolis, IN 46234 Keywords: Course Management Systems, E-learning, Integrated Learning System, Learning

Paris-Sud XI, Université de

444

Aerospace and Mechanical Engineers design and build unique, complex mechanical, optical,  

E-Print Network (OSTI)

20 Aerospace and Mechanical Engineers design and build unique, complex mechanical, optical, far underground, and deep inside the intricacies of our own bodies. Aerospace and Mechanical skills in the areas of mechanics, thermodynamics, fluid mechanics, heat transfer, materials and automatic

Rohs, Remo

445

Aerospace and Mechanical Engineers design and build unique, complex mechanical, optical, and  

E-Print Network (OSTI)

20 Aerospace and Mechanical Engineers design and build unique, complex mechanical, optical, far underground, and deep inside the intricacies of our own bodies. Aerospace and Mechanical skills in the areas of mechanics, thermodynamics, fluid mechanics, heat transfer, materials and automatic

Rohs, Remo

446

Building Energy-Efficient Schools in New Orleans: Lessons Learned  

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

Energy-Efficient Schools in New Orleans: Lessons Learned Energy-Efficient Schools in New Orleans: Lessons Learned (Brochure), Energy Efficiency & Renewable Energy (EERE) Building Energy-Efficient Schools in New Orleans: Lessons Learned (Brochure), Energy Efficiency & Renewable Energy (EERE) This case study presents the lessons learned from incorporating energy efficiency in the rebuilding and renovating of New Orleans K-12 schools after Hurricanes Katrina and Rita. 51639.pdf More Documents & Publications Building Energy-Efficient Schools in New Orleans: Lessons Learned (Brochure), Energy Efficiency & Renewable Energy (EERE) Rising Above the Water: New Orleans Implements Energy Efficiency and Sustainability Practices Following Hurricanes Katrina and Rita (Fact Sheet), Integrated Deployment: Disaster Recovery (ID)

447

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

Open Energy Info (EERE)

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

448

Building Energy-Efficient Schools in New Orleans: Lessons Learned  

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

Efficient Schools in New Orleans: Lessons Learned Efficient Schools in New Orleans: Lessons Learned (Brochure), Energy Efficiency & Renewable Energy (EERE) Building Energy-Efficient Schools in New Orleans: Lessons Learned (Brochure), Energy Efficiency & Renewable Energy (EERE) This brochure presents the lessons learned from incorporating energy efficiency in the rebuilding and renovating of New Orleans K-12 schools after Hurricanes Katrina and Rita. 51989.pdf More Documents & Publications Building Energy-Efficient Schools in New Orleans: Lessons Learned (Brochure), Energy Efficiency & Renewable Energy (EERE) Rising Above the Water: New Orleans Implements Energy Efficiency and Sustainability Practices Following Hurricanes Katrina and Rita (Fact Sheet), Integrated Deployment: Disaster Recovery (ID)

449

IRENA Renewable Energy Learning Partnership (IRELP) | Open Energy  

Open Energy Info (EERE)

IRENA Renewable Energy Learning Partnership (IRELP) IRENA Renewable Energy Learning Partnership (IRELP) Jump to: navigation, search Tool Summary Name: IRENA Renewable Energy Learning Partnership (IRELP) Agency/Company /Organization: International Renewable Energy Agency (IRENA) Sector: Energy Focus Area: Renewable Energy, - Biofuels, Geothermal, Ground Source Heat Pumps, People and Policy, Solar, Water Power, Wind Topics: - Energy Access, - Energy Security, Finance, Market analysis, Policies/deployment programs, Resource assessment Resource Type: Case studies/examples, Guide/manual, Lessons learned/best practices, Presentation, Training materials, Webinar, Workshop Website: www.irelp.org/ Cost: Free Logo: IRENA Renewable Energy Learning Partnership (IRELP) The International Renewable Energy Agency (IRENA) is a non-profit,

450

Moldova National Inventory Report - Lessons Learned | Open Energy  

Open Energy Info (EERE)

Moldova National Inventory Report - Lessons Learned Moldova National Inventory Report - Lessons Learned Jump to: navigation, search Name Moldova Second National Inventory Report - Lessons Learned Agency/Company /Organization United Nations Development Programme Sector Energy, Land Topics GHG inventory, Background analysis Resource Type Publications, Lessons learned/best practices Country Moldova Eastern Europe References UNDP National Communications Support Program[1] "Key Lessons Learned From The Process of Preparing Moldova's SNC 1. National experts stated that IPCC default Emission Factors (EFs) were sometimes inappropriate for sources highly dependent on local conditions. Active involvement of key stakeholders and relevant organizations made it possible for Moldova to develop local EFs for prioritized key sources;

451

Guide to Clean Development Mechanism Projects Related to Municipal Solid  

Open Energy Info (EERE)

Guide to Clean Development Mechanism Projects Related to Municipal Solid Guide to Clean Development Mechanism Projects Related to Municipal Solid Waste Management Jump to: navigation, search Tool Summary Name: A Guide to Clean Development Mechanism Projects Related to Municipal Solid Waste Management Agency/Company /Organization: United Nations Economic and Social Commission for Asia and the Pacific Sector: Energy, Land Focus Area: - Landfill Gas, - Waste to Energy Topics: Implementation, Co-benefits assessment Resource Type: Guide/manual, Lessons learned/best practices Website: www.unescap.org/esd/environment/publications/cdm/Guide.pdf UN Region: Central Asia, Eastern Asia, South-Eastern Asia, "Pacific" is not in the list of possible values (Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa, Caribbean, Central America, South America, Northern America, Central Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Western Asia, Eastern Europe, Northern Europe, Southern Europe, Western Europe, Australia and New Zealand, Melanesia, Micronesia, Polynesia, Latin America and the Caribbean) for this property.

452

NREL-Lessons Learned from Energy Efficiency Lighting Programs Webinar |  

Open Energy Info (EERE)

NREL-Lessons Learned from Energy Efficiency Lighting Programs Webinar NREL-Lessons Learned from Energy Efficiency Lighting Programs Webinar Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Lessons Learned from Energy Efficiency Lighting Programs Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Energy Efficiency, Buildings Topics: Policies/deployment programs Resource Type: Webinar, Guide/manual, Training materials, Lessons learned/best practices Website: www.nrel.gov/applying_technologies/state_local_activities/webinar_2010 Lessons Learned from Energy Efficiency Lighting Programs Screenshot References: Lessons Learned from Energy Efficiency Lighting Programs[1] Logo: Lessons Learned from Energy Efficiency Lighting Programs Sponsored by the U.S. Department of Energy (DOE) Technical Assistance

453

Lessons Learned Quarterly Report, December 2003 | Department of Energy  

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

3 3 Lessons Learned Quarterly Report, December 2003 Welcome to the 37th quarterly report on lessons learned in the NEPA process. In this issue we are starting a multi-part examination of lessons learned from Lessons Learned. We invite your suggestions on how to improve the Lessons Learned program. Thank you for your continuing support. Articles included in this issue: What's Next? CEQ Seeks More Input on Task Force Recommendations What Have We Learned from Lessons Learned? BLM Preparing Wind Energy Programmatic EIS DOE Submits Cooperating Agency Report EA Measures Protect Wetland EIS to Re-review Transmission Lines DOE Web Site Turns 10! DOE Promotes NEPA 101 Goals New E.O. Addresses Historic Heritage Meeting on Protection of Indian Sacred Sites Summer Detail at the NEPA Office

454

Lessons Learned Quarterly Report Archive | Department of Energy  

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

September 4, 2007 September 4, 2007 Lessons Learned Quarterly Report, September 2007 Welcome to the 52nd quarterly report on lessons learned in the NEPA process. This issue highlights the start of two major DOE EISs and features several guest-written articles. June 1, 2007 Lessons Learned Quarterly Report, June 2007 Welcome to the 51st quarterly report on lessons learned in the NEPA process. This issue features collaboration as a key element of a successful NEPA process. Related articles discuss approaches to and benefits of collaboration and illustrate various applications. March 1, 2007 Lessons Learned Quarterly Report, March 2007 Welcome to the 50th quarterly report on lessons learned in the NEPA process. The Office of NEPA Policy and Compliance launched the Lessons Learned program in December 1994 to support continuous improvement in the

455

Lessons Learned Quarterly Report, December 1999 | Department of Energy  

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

Lessons Learned Quarterly Report, December 1999 Lessons Learned Quarterly Report, December 1999 Lessons Learned Quarterly Report, December 1999 Welcome to the 21st Quarterly Report on lessons learned in the NEPA process. This report includes: Good Information, Good Government; CEQ 1997 Report to Congress on Environmental Quality" Managing a National Public Participation Program for the Yucca Mountain EIS New Executive Order on Trade Agreements NEPA Challenges for Western Area Power Administration Is CD-ROM a Useful Complement to Paper Documents? Pollution Prevention and NEPA Clean Air Act Conformity and NEPA National Natural Landmark Considerations Include Distribution List in EIS Lessons Learned Quarterly Report (LLQR) More Documents & Publications Lessons Learned Quarterly Report, June 2002 Lessons Learned Quarterly Report, September 2002

456

Lessons Learned Quarterly Report, March 1999 | Department of Energy  

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

March 1999 March 1999 Lessons Learned Quarterly Report, March 1999 Welcome to the first quarter FY 1999 Quarterly Report on lessons learned in the NEPA process. Articles in this issue include: Dr. David Michaels DOEs New Leader for Environment, Safety and Health Society Promotes Lessons Learned Exchange at DOE Partnering Facilitates SPR Pipeline EA Mini-guidance An EIS Needs an Index When We Dont Know, Say So Extending Public Comment Periods Advisory Council on Historic Preservation to Issue New Section 106 Regulations DOE -wide NEPA Contracts Litigation Updates Executive Order Issued on Invasive Species Lessons Learned Quarterly Report (LLQR) More Documents & Publications Lessons Learned Quarterly Report, December 1998 Lessons Learned Quarterly Report, June 1999 Lessons Learned Quarterly Report, June 2002

457

NREL-Learning About Renewable Energy Site | Open Energy Information  

Open Energy Info (EERE)

NREL-Learning About Renewable Energy Site NREL-Learning About Renewable Energy Site (Redirected from Learning about Renewables at NREL) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Learning about Renewables at NREL Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Resource Type: Training materials Website: www.nrel.gov/learning/ References: Learning about Renewables at NREL[1] Logo: Learning about Renewables at NREL This Web site describes NREL's research in renewable energy technologies, and also provides information on energy efficiency and various applications of renewable energy. Overview "Renewable energy and energy efficiency technologies are key to creating a clean energy future for not only the nation, but the world. This Web site describes NREL's research in renewable energy technologies, and also

458

Mechanical Behavior of Indium Nanostructures  

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

Mechanical Behavior of Indium Nanostructures Print Mechanical Behavior of Indium Nanostructures Print Indium is a key material in lead-free solder applications for microelectronics due to its excellent wetting properties, extended ductility, and high electrical conductivity. With the size of electronic devices continuing to shrink and the promise of indium-based nanotechnologies, it is important to develop a fundamental understanding of this material's small-scale mechanical properties and reliability. Researchers from the University of Waterloo, California Institute of Technology, and Los Alamos National Laboratory have collaborated with a team at ALS Beamline 12.3.2 to investigate the small-scale mechanics of indium nanostructures. Scanning x-ray microdiffraction (μSXRD) studies revealed that the indium microstructure is typical of a well-annealed metal, containing very few initial dislocations and showing close-to-theoretical strength.

459

Mechanical Behavior of Indium Nanostructures  

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

Mechanical Behavior of Indium Nanostructures Print Mechanical Behavior of Indium Nanostructures Print Indium is a key material in lead-free solder applications for microelectronics due to its excellent wetting properties, extended ductility, and high electrical conductivity. With the size of electronic devices continuing to shrink and the promise of indium-based nanotechnologies, it is important to develop a fundamental understanding of this material's small-scale mechanical properties and reliability. Researchers from the University of Waterloo, California Institute of Technology, and Los Alamos National Laboratory have collaborated with a team at ALS Beamline 12.3.2 to investigate the small-scale mechanics of indium nanostructures. Scanning x-ray microdiffraction (μSXRD) studies revealed that the indium microstructure is typical of a well-annealed metal, containing very few initial dislocations and showing close-to-theoretical strength.

460

Mechanical Behavior of Indium Nanostructures  

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

Mechanical Behavior of Indium Nanostructures Print Mechanical Behavior of Indium Nanostructures Print Indium is a key material in lead-free solder applications for microelectronics due to its excellent wetting properties, extended ductility, and high electrical conductivity. With the size of electronic devices continuing to shrink and the promise of indium-based nanotechnologies, it is important to develop a fundamental understanding of this material's small-scale mechanical properties and reliability. Researchers from the University of Waterloo, California Institute of Technology, and Los Alamos National Laboratory have collaborated with a team at ALS Beamline 12.3.2 to investigate the small-scale mechanics of indium nanostructures. Scanning x-ray microdiffraction (μSXRD) studies revealed that the indium microstructure is typical of a well-annealed metal, containing very few initial dislocations and showing close-to-theoretical strength.

Note: This page contains sample records for the topic "undp-adaptation learning mechanism" 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

Mechanical & Aerospace Engineering Department of  

E-Print Network (OSTI)

held our Gator Mechanical & Aerospace Engineering (MAE) get together reception at the annual ASME heartwarming. We have always enjoyed the loyal support of our die-hard Gator grads. Expanding, deepening

Roy, Subrata

462

Process Waste Assessment, Mechanics Shop  

SciTech Connect

This Process Waste Assessment was conducted to evaluate hazardous wastes generated in the Mechanics Shop. The Mechanics Shop maintains and repairs motorized vehicles and equipment on the SNL/California site, to include motorized carts, backhoes, street sweepers, trash truck, portable emergency generators, trencher, portable crane, and man lifts. The major hazardous waste streams routinely generated by the Mechanics Shop are used oil, spent off filters, oily rags, and spent batteries. The used off and spent off filters make up a significant portion of the overall hazardous waste stream. Waste oil and spent batteries are sent off-site for recycling. The rags and spent on filters are not recycled. They are disposed of as hazardous waste. Mechanics Shop personnel continuously look for opportunities to minimize hazardous wastes.

Phillips, N.M.

1993-05-01T23:59:59.000Z

463

Free will and quantum mechanics  

E-Print Network (OSTI)

A simple example is provided showing that violation of free will allows to reproduce the quantum mechanical predictions, and that the Clauser-Horne parameter can take the maximum value 4 for a proper choice.

Antonio Di Lorenzo

2011-05-05T23:59:59.000Z

464

Optomechanical Conversion by Mechanical Turbines  

Science Journals Connector (OSTI)

Liquid-crystal elastomers are rubbers with liquid-crystal order. They contract along their nematic director when heated or illuminated. The shape changes are large and occur in a relatively narrow temperature interval or at low illumination around the nematic-isotropic transition. We present a conceptual design of a mechanical, turbine-based engine using photoactive liquid-crystal elastomers to extract mechanical work from light. Its efficiency is estimated to be 40%.

Miloš Kneževi? and Mark Warner

2014-10-30T23:59:59.000Z

465

Statistical Mechanics of Amplifying Apparatus  

E-Print Network (OSTI)

We implement Feynman's suggestion that the only missing notion needed for the puzzle of Quantum Measurement is the statistical mechanics of amplifying apparatus. We define a thermodynamic limit of quantum amplifiers which is a classically describable system in the sense of Bohr, and define macroscopic pointer variables for the limit system. Then we derive the probabilities of Quantum Measurement from the deterministic Schroedinger equation by the usual techniques of Classical Statistical Mechanics.

Joseph Johnson

2005-02-08T23:59:59.000Z

466

Mechanical Dissipation in Silicon Flexures  

E-Print Network (OSTI)

The thermo-mechanical properties of silicon make it of significant interest as a possible material for mirror substrates and suspension elements for future long-baseline gravitational wave detectors. The mechanical dissipation in 92um thick single-crystal silicon cantilevers has been observed over the temperature range 85 K to 300 K, with dissipation approaching levels down to phi = 4.4E-7.

S. Reid; G. Cagnoli; D. R. M. Crooks; J. Hough; P. Murray; S. Rowan; M. M. Fejer; R. Route; S. Zappe

2005-10-28T23:59:59.000Z

467

Optomechanical conversion by mechanical turbines  

E-Print Network (OSTI)

Liquid crystal elastomers are rubbers with liquid crystal order. They contract along their nematic director when heated or illuminated. The shape changes are large and occur in a relatively narrow temperature interval, or at low illumination, around the nematic-isotropic transition. We present a conceptual design of a mechanical, turbine-based engine using photo-active liquid crystal elastomers to extract mechanical work from light. Its efficiency is estimated to be 40%.

Milos Knezevic; Mark Warner

2014-11-02T23:59:59.000Z

468

volumes. Innovation frequencies also correlated with laboratory measures of learning, increasing our confidence in the innovation measure, and with social learning frequencies,  

E-Print Network (OSTI)

our confidence in the innovation measure, and with social learning frequencies, suggesting that innovation and social learning propensities have evolved together. Species range size did not correlatevolumes. Innovation frequencies also correlated with laboratory measures of learning, increasing

Reader, Simon

469

NEPA Lessons Learned Quarterly Report June 2001  

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

1 1 1 LESSONS LEARNED LEARNED LESSONS National Environmental Policy Act N E P A U.S. DEPARTMENT OF ENERGY QUARTERLY REPORT For Second Quarter FY 2001 June 1, 2001; Issue No. 27 continued on page 3 The DOE NEPA Compliance Officers will meet in Washington, DC, June 13 and 14, The DOE NEPA Compliance Officers will meet in Washington, DC, June 13 and 14, The DOE NEPA Compliance Officers will meet in Washington, DC, June 13 and 14, The DOE NEPA Compliance Officers will meet in Washington, DC, June 13 and 14, The DOE NEPA Compliance Officers will meet in Washington, DC, June 13 and 14, on the theme of “NEPA: What’s New, What’s Next.” Horst Greczmiel, CEQ’s Associate Director for NEPA Oversight, and Anne Miller, Acting Director of the EPA’s Office of Federal

470

NEPA Lessons Learned Quarterly Report December 2000  

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

0 0 1 LESSONS LEARNED LEARNED LESSONS National Environmental Policy Act N E P A U.S. DEPARTMENT OF ENERGY QUARTERLY REPORT For Fourth Quarter FY 2000 December 1, 2000; Issue No. 25 DOE NEPA Order Revised, National Nuclear Security Administration Responsibilities Outlined On October 26, 2000, the Deputy Secretary of Energy issued DOE O 451.1B, National Environmental Policy Act Compliance Program, to accommodate National Nuclear Security Administration (NNSA) NEPA responsibilities. The revised Order has an expanded section on applicability and a new section on NNSA procedures. With respect to an EIS for an NNSA activity, the NNSA Administrator will fulfill the responsibilities of a Secretarial Officer (including consulting with the NNSA General Counsel), and the Secretary or Deputy

471

Learned, Mississippi: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Learned, Mississippi: Energy Resources Learned, Mississippi: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 32.196817°, -90.5473202° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":32.196817,"lon":-90.5473202,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

472

Acoustics of technology enabled collaborative learning environments.  

Science Journals Connector (OSTI)

Collaborative classrooms and workstations are increasingly common in higher education buildings. These spaces present unique acoustical challenges that force designers to rethink traditional concepts and solutions. In student?centered classrooms the lecturer is removed as the visual and acoustical center of attention. Instead students are seated in groups around technology enabled workstations often facing away from the lecturer and other students. Acoustical conditions must support small?group interaction classroom discussion and learning via multimedia content. Outside the classroom collaborative workstations vary greatly but typically facilitate small?group interaction around a multimedia display and/or work surface. To promote impromptu use by students these spaces are often open to highly public areas of learning commons classroom buildings and digital libraries. Traditional noise control solutions fail to isolate these spaces without compromising their spontaneous feel and function. Despite obvious acoustical challenges both space types will continue to proliferate and new acoustical solutions must be developed.

Gregory A. Coudriet; Jeffery E. Babich

2010-01-01T23:59:59.000Z

473

WHC significant lessons learned 1993--1995  

SciTech Connect

A lesson learned as defined in DOE-STD-7501-95, Development of DOE Lessons Learned Programs, is: A ``good work practice`` or innovative approach that is captured and shared to promote repeat applications or an adverse work practice or experience that is captured and shared to avoid a recurrence. The key word in both parts of this definition is ``shared``. This document was published to share a wide variety of recent Hanford experiences with other DOE sites. It also provides a valuable tool to be used in new employee and continuing training programs at Hanford facilities and at other DOE locations. This manual is divided into sections to facilitate extracting appropriate subject material when developing training modules. Many of the bulletins could be categorized into more than one section, however, so examination of other related sections is encouraged.

Bickford, J.C.

1997-12-12T23:59:59.000Z

474

Improving image segmentation by learning region affinities  

SciTech Connect

We utilize the context information of other regions in hierarchical image segmentation to learn new regions affinities. It is well known that a single choice of quantization of an image space is highly unlikely to be a common optimal quantization level for all categories. Each level of quantization has its own benefits. Therefore, we utilize the hierarchical information among different quantizations as well as spatial proximity of their regions. The proposed affinity learning takes into account higher order relations among image regions, both local and long range relations, making it robust to instabilities and errors of the original, pairwise region affinities. Once the learnt affinities are obtained, we use a standard image segmentation algorithm to get the final segmentation. Moreover, the learnt affinities can be naturally unutilized in interactive segmentation. Experimental results on Berkeley Segmentation Dataset and MSRC Object Recognition Dataset are comparable and in some aspects better than the state-of-art methods.

Prasad, Lakshman [Los Alamos National Laboratory; Yang, Xingwei [TEMPLE UNIV.; Latecki, Longin J [TEMPLE UNIV.

2010-11-03T23:59:59.000Z

475

Evaluating learning technologies: frameworks and case studies  

Science Journals Connector (OSTI)

Evaluation frameworks have been developed for studying learning technology. In this paper, we review their application to a number of evaluation projects, reflect on recent developments in the area of evaluation and illustrate how these frameworks have been applied by reflecting on the methods employed in three contrasting case studies. Each case study is an evaluation of an innovative use of information technology. The first case study describes the evaluation activities related to the technology-enhanced components of an introductory physics course for distance learners, 'Physical World', focusing on the evaluation of multimedia tutorials. The second case study discusses an evaluation project focusing on the impact of networked technologies on learning at school level, the 'ImpaCT2' evaluation, and describes the methods used in tracking use of technology both at school and at home. The third case study involves the evaluation of a history website on a full time higher education course, 'The History of the USA'.

Eileen Scanlon; Canan Blake; Kim Issroff; Cathy Lewin

2006-01-01T23:59:59.000Z

476

A Primer on Geometric Mechanics Why Geometric  

E-Print Network (OSTI)

into Mechanics? The double pendulum 23 Christian Lessig (Caltech) Why Geometric Mechanics? 15 / 183 #12;How does / 183 #12;Outline Overview How does the Geometry get into Mechanics? Geometric Mechanics Lessig (Caltech) Why Geometric Mechanics? 3 / 183 #12;Outline Overview How does the Geometry get

Desbrun, Mathieu

477

Mechanical Engineering Department WORCESTER POLYTECHNIC INSTITUTE  

E-Print Network (OSTI)

Mechanical Engineering Department WORCESTER POLYTECHNIC INSTITUTE MECHANICAL ENGINEERING DEPARTMENT STRESS ANALYSIS ES-2502, C'2012 Lecture 27: Summary 29 February 2012 #12;Mechanical Engineering@wpi.edu Tatiana Popova tpopova@wpi.edu #12;Mechanical Engineering Department Summary #12;Mechanical Engineering

Furlong, Cosme

478

IG-0893 response ? Lessons Learned Compilation  

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

limited justification due to cash flow concerns. Many Recipients believed that once mechanical completion was achieved, risks were substantially mitigated and the need for...

479

The role of BDNF in spinal learning  

E-Print Network (OSTI)

THE ROLE OF BRAIN-DERIVED NEUROTROPHIN FACTOR (BDNF) IN SPINAL LEARNING A Thesis by JOHN RUSEL HUIE Submited to the Ofice of Graduate Studies of Texas A&M University in partial fulfilment... of Graduate Studies of Texas A&M University in partial fulfilment of the requirements for the degre of MASTER OF SCIENCE Approved by: Chair of Commite, James Grau Commite Members, Michele Hook Rajesh Miranda Head...

Huie, John Russell

2009-05-15T23:59:59.000Z

480

The Flexible Learning Approach to Physics (FLAP)  

Science Journals Connector (OSTI)

The Flexible Learning Approach to Physics (FLAP) is an extensive high quality supported self-study teaching resource developed on behalf of the whole UK university sector. FLAP addresses the twin problems of an increasing diversity of intake into physics degree courses and their decreasing familiarity with the use of mathematics in a physical context. It has been developed over a three year period funded ($1M) by the UK Higher Education Funding Councils. It offers a new approach to the teaching of physics and its associated mathematics. FLAP includes 83 free-standing modules of physics and mathematics ranging from pre-university level to some point within the first or second year of a physics or engineering degree course. Its range also makes it useful at upper high school level. It presents an integrated approach to physics and mathematics introducing mathematics within a physical context where possible and sharing a common notation with the physics. FLAP includes about 2500 pages of text with video audio and CAL support and has a Tutor Guide with an electronic question bank of about 1700 questions and solutions. A feature of the resource is that the modular text is photocopiable by departments for their own students giving maximum flexibility of use. Physics departments can use this as they choose to support their present courses or to create new courses of their own design. The FLAP self-study teaching style encourages active learning and gives students more ownership of this learning. Field trials show that it can increase student self-motivation and its style is welcomed. It offers gains in the quality and efficiency of teaching and learning and is expected to make a considerable impact wherever teaching quality has to be maintained or improved particularly with reducing staff resources. FLAP is now being made available world-wide.

R. J. Lambourne; M. H. Tinker; S. A. Windsor

1997-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "undp-adaptation learning mechanism" 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

SiO2 Fracture: Chemomechanics with a Machine-Learning Hybrid QM/MM Scheme |  

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

Snapshot from a simulation of subcritical stress corrosion cracking in Snapshot from a simulation of subcritical stress corrosion cracking in silica in a wet environment, of the kind that will be carried out at the quantum mechanical level during this INCITE project. Silicon atoms are shown in grey, oxygen in red and hydrogen in white. The nanoscale mechanisms underlying stress corrosion cracking remain unclear and can only be elucidated with these kinds of non-uniform precision simulations, which will allow quantitative comparison with experiments for the first time. James Kermode, King's College London SiO2 Fracture: Chemomechanics with a Machine-Learning Hybrid QM/MM Scheme PI Name: James Kermode PI Email: King's College London Institution: james.kermode@kcl.ac.uk Allocation Program: INCITE Allocation Hours at ALCF: 125 Million

482

‘Optimal’ vortex rings and aquatic propulsion mechanisms  

Science Journals Connector (OSTI)

...vortex rings and aquatic propulsion mechanisms P. F. Linden...fluid mechanics behind these propulsion mechanisms and show that...over the cycle. 4. FISH PROPULSION BY UNDULATORY SWIMMING Most marine organisms have only discrete...

2004-01-01T23:59:59.000Z

483

University of Saskatchewan Department of Mechanical Engineering  

E-Print Network (OSTI)

University of Saskatchewan Department of Mechanical Engineering Standard Operating Procedure # HT.............................................................................................................. 10 #12;University of Saskatchewan Department of Mechanical Engineering Standard Operating Procedure of Saskatchewan Department of Mechanical Engineering Standard Operating Procedure # HT0002 Page 3 of 10 2

Saskatchewan, University of

484

Mechanical Engineering Colloquium September 19, 2014  

E-Print Network (OSTI)

Mechanical Engineering Colloquium September 19, 2014 Macdonald Engineering Building (MD) 267 from 11 - 12 pm Professor Harry Dankowicz Department of Mechanical Science and Engineering University of Illinois, Urbana-Champaign Discontinuity-induced Bifurcations in Models of Mechanical Contact, Capillary

Barthelat, Francois

485

Mechanical R&D | The Ames Laboratory  

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

Mechanical R&D Mechanical R&D provides a wide range of design, analysis, and testing services for the Laboratory(tm)s scientific programs. Mechanical Design tests and...

486

Mechanical Computation: its Computational Complexity and Technologies  

E-Print Network (OSTI)

Mechanical Computation: its Computational Complexity and Technologies Chapter, Encyclopedia Importance II. Introduction to Computational Complexity III. Computational Complexity of Mechanical Devices and their Movement Problems IV. Concrete Mechanical Computing Devices V. Future Directions VI. Bibliography Glossary

Reif, John H.

487

Machine learning and the quantitative analysis of confocal microscopy with an application to the embryogenesis of drosophila melanogaster  

E-Print Network (OSTI)

image segmentations: from machine to expert Watershed over–with active learning. Machine Learning, 15:201–221.The boosting approach to machine learning: An overview. In

Beaver, William Matthew

2011-01-01T23:59:59.000Z

488

On the foundation of Mechanics  

E-Print Network (OSTI)

This note is an extended version of "A note on the foundations of Mechanics", arXiv: 1404.1321 [math-ph]. A presentation of its contents was given in a talk in memorial homage to the professor Juan B. Sancho Guimer\\'a. For this reason, it was written in spanish language. The matter of the note is a systematic foundation of the most classical part of Mechanics. The content by sections is: 0) Notions and basic results, 1) Conservative systems 2) Time. Time constraints, 3) Proper time. Relativistic forces, 4) Electromagnetic fields, 5) On the Hamilton-Noether Principle, 6) Schr\\"odinger equation.

Ricardo J. Alonso-Blanco; Jesús Muñoz-Díaz

2014-12-09T23:59:59.000Z

489

Optomechanical conversion by mechanical turbines  

E-Print Network (OSTI)

, “Photomobile polymer materials: towards light-driven plastic motors,” Angew. Chem. Int. Ed. 47, 4986 (2008). [2] Y. Geng, P. L. Almeida, S. N. Fernandes, C. Cheng, P. Palffy-Muhoray, and M. H. Godinho, “A cellulose liquid crystal motor: a steam engine... design of a mechanical, turbine-based engine using photo-active liquid crystal elastomers to extract mechanical work from light. Its efficiency is estimated to be 40%. PACS numbers: 61.30.-v, 61.41.+e, 83.80.Va, 88.40.-j I. INTRODUCTION We propose a...

Kneževi?, Miloš; Warner, Mark

2014-10-30T23:59:59.000Z

490

Design considerations for mechanical snubbers  

SciTech Connect

The use of mechanical snubbers to restrain piping during an earthquake event is becoming more common in design of nuclear power plants. The design considerations and qualification procedures for mechanical snubbers used on the Fast Flux Test Facility will be presented. Design precautions and requirements for both normal operation and seismic operation are necessary. Effects of environmental vibration (nonseismic) induced through the piping by pump shaft imbalance and fluid flow oscillations will be addressed. Also, the snubber dynamic characteristics of interest to design and snubber design application considerations will be discussed.

Severud, L.K.; Summers, G.D.

1980-03-01T23:59:59.000Z

491

Ch.8 Weather Learning Objective One  

E-Print Network (OSTI)

Three: ! Atmospheric Uplift Mechanisms #12;Four Atmospheric Lifting Mechanisms ! To form precipitation, air masses must lift and rise in altitude to reach the dew-point temperature, and condense, and form America in Winter #12;Global January Barometric Pressure Four broad pressure areas in Northern Hemisphere

Pan, Feifei

492

Lessons Learned | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

Lessons Learned Lessons Learned Project Assessment (OPA) OPA Home About Project Management Processes and Procedures Cost & Contingency EDIA Escalation Rates Earned Value Management System (EVMS) Certifications Awards Lessons Learned Tools & Resources SC Projects Other Links SC Federal Project Directors (FPD) and FPD Resources Contact Information Project Assessment U.S. Department of Energy SC-28/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-4840 F: (301) 903-8520 E: sc.opa@science.doe.gov Project Management Lessons Learned Print Text Size: A A A RSS Feeds FeedbackShare Page NSLS II Magnet Procurement .pdf file (1.3MB) October 2013 OLCF-3 Lessons Learned Report .pdf file (39KB) September 2013 ISB Leasons Learned Report .pdf file (196KB) July 2013

493

Lessons Learned Quarterly Report, December 2002 | Department of Energy  

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

Lessons Learned Quarterly Report, December 2002 Lessons Learned Quarterly Report, December 2002 Lessons Learned Quarterly Report, December 2002 Welcome to the 33rd quarterly report on lessons learned in the NEPA process. Have you noticed that NEPA has been in the news a lot lately? Although this issue of LLQR is longer than usual, I encourage you to read all the news, views, and lessons learned. We thank you for your continuing support of the Lessons Learned program. Articles included in this issue: CEQ Asks How to Improve NEPA Implementation; Responses Vary Widely DOE Cooperating Agency Report DOE Proposes Floodplain/Wetland Rule Revisions Adaptive Management and the NEPA Process Impact Mitigation at Los Alamos Institute Establishes NEPA Advisory Committee Office of Science Promotes Early NEPA Planning

494

NEPA Lessons Learned Quarterly Report 1st Quarter FY 1996  

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

LEARNED LEARNED LESSONS N E P A Inside LESSONS LEARNED March 1, 1996 Quarterly Report LESSONS LEARNED National Environmental Policy Act U.S. Department of Energy Welcome to the newly-revised Quarterly Report of Lessons Learned in the NEPA process. In response to reader suggestions, we have expanded the scope of the report to provide a wider variety of NEPA- related information, and enhanced the format for better clarity and overall readability. This Quarterly Report includes: * NEPA lessons learned at the Hanford Site - Page 1 * Mini-guidance on the preparation of EIS summaries, properly eliminating alternatives and impacts from detailed analysis, application of DOE NEPA regulations to procurement, and NEPA questions and answers - Pages 3-6 * Updates on the proposed amendments to DOE's NEPA

495

Policy Impacts on Deforestation: Lessons Learned from Past Experiences to  

Open Energy Info (EERE)

Policy Impacts on Deforestation: Lessons Learned from Past Experiences to Policy Impacts on Deforestation: Lessons Learned from Past Experiences to Inform New Initiatives Jump to: navigation, search Tool Summary Name: Policy Impacts on Deforestation: Lessons Learned from Past Experiences to Inform New Initiatives Agency/Company /Organization: Nicholas Institute Sector: Land Focus Area: Forestry Topics: Policies/deployment programs Resource Type: Lessons learned/best practices Website: www.climatefocus.com/documents/files/policy_impacts.pdf Policy Impacts on Deforestation: Lessons Learned from Past Experiences to Inform New Initiatives Screenshot References: Policy Impacts on Deforestation: Lessons Learned from Past Experiences to Inform New Initiatives[1] Overview "This report aims to provide lessons to inform U.S. and international

496

ACE Learning Series - Adoption, Compliance, and Enforcement | Building  

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

Resource Center Resource Center Site Map Printable Version Development Adoption Compliance Regulations Resource Center FAQs Publications Resource Guides eLearning Model Policies Glossary Related Links ACE Learning Series Utility Savings Estimators ACE Learning Series - Adoption, Compliance, and Enforcement ACE Learning Series Buildings account for almost 40% of the energy used in the United States and, as a direct result of that use, our environment and economy are impacted. Building energy codes and standards provide an effective response. The Building Energy Codes Program (BECP) designed the ACE Learning Series for those in the building industry having the greatest potential to influence the adoption of and compliance with building energy codes and standards. The Learning Series consists of:

497

Lessons Learned Quarterly Report, September 2004 | Department of Energy  

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

Lessons Learned Quarterly Report, September 2004 Lessons Learned Quarterly Report, September 2004 Lessons Learned Quarterly Report, September 2004 Welcome to the 40th quarterly report on lessons learned in the NEPA process. That's 40 issues! Have you read them all? We are pleased to feature the July 2004 NEPA Community Meeting in this issue, as well as our annual update of the cumulative index to LLQR. Thank you for your continuing support. Articles included in this issue: DOE's NEPA Process - Getting Better and Better NEPA Community Meeting Highlights Awards for Contributions to DOE's NEPA Program Working with Cooperating Agencies e-NEPA Improves Access and Efficiency Getting Better Through Guidance More Thoughts on Getting Better and Better NEPA Office Shares Best Practices Lessons Learned from Lessons Learned Part 4

498

Lessons Learned Quarterly Report, September 2003 | Department of Energy  

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

Lessons Learned Quarterly Report, September 2003 Lessons Learned Quarterly Report, September 2003 Lessons Learned Quarterly Report, September 2003 Welcome to the 36th quarterly report on lessons learned in the NEPA process. We are pleased to feature the July 2003 NEPA Community Meeting in this issue. Also, please note that the cumulative index, a useful reference tool, is printed in this issue. Thank you for your continuing support of the Lessons Learned program. Included in this issue: DOE NEPA Community Gauges Progress In Its Continuing Pursuit of Excellence Floodplain and Wetland Regulations Effective September 26, 2003 NEPA Community Meeting Highlights Metrics Show Progress In Meeting Goals Getting from Here to There Lessons Learned Along the Way e-Government Approaches to EIS Distribution Procedures Evolving for Sensitive Information

499

Lessons Learned Quarterly Report, March 1997 | Department of Energy  

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

Lessons Learned Quarterly Report, March 1997 Lessons Learned Quarterly Report, March 1997 Lessons Learned Quarterly Report, March 1997 Welcome again to the Quarterly Report on Lessons Learned in the NEPA process. This report includes: CEQ Effectiveness Study CEQ Handbook on Cumulative Effects DOE Sites Enhancing Public Participation in EAs Stockpile Stewardship and Management ROD Issued EIS Distribution: Coordination with Congressional, Public and Intergovernmental Affairs EPA EIS Rating System Results of EA Quality Review DOE NEPA Web as Research Tool Litigation Updates DOE NEPA Process Data Misused GC to Provide Administrative Record Guidance Questions and Answers on Supplement Analyses First Quarter FY 1997 Lessons Learned Questionnaire Results, including EIS and EA Cost and Time reports Lessons Learned Quarterly Report

500

NREL-Learning About Renewable Energy Site | Open Energy Information  

Open Energy Info (EERE)

NREL-Learning About Renewable Energy Site NREL-Learning About Renewable Energy Site Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Learning about Renewables at NREL Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Resource Type: Training materials Website: www.nrel.gov/learning/ References: Learning about Renewables at NREL[1] Logo: Learning about Renewables at NREL This Web site describes NREL's research in renewable energy technologies, and also provides information on energy efficiency and various applications of renewable energy. Overview "Renewable energy and energy efficiency technologies are key to creating a clean energy future for not only the nation, but the world. This Web site describes NREL's research in renewable energy technologies, and also