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1

UNDP-Adaptation Learning Mechanism | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectric Coop,Save Energy Now Jump to: navigation,Energy Agency/CompanyMechanism

2

Statistical mechanical analysis of the dynamics of learning in perceptrons  

E-Print Network [OSTI]

with constant learning rate 2.5. Theory versus simulations 3. On-line learning: complete training setsStatistical mechanical analysis of the dynamics of learning in perceptrons C. W. H. MACE and A. C to analyse the dynamics of various classes of supervised learning rules in perceptrons. The character

Coolen, ACC "Ton"

3

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

4

Statistical Mechanics of On-line learning Michael Biehl1  

E-Print Network [OSTI]

Statistical Mechanics of On-line learning Michael Biehl1 , Nestor Caticha2 , and Peter Riegler3 1 Wolfenb¨uttel, Germany Abstract. We introduce and discuss the application of statistical physics concepts Introduction The perception that Statistical Mechanics is an inference theory has opened the possibility

Biehl, Michael

5

Learning at the level of the spinal cord: the role of associative and nonassociative mechanisms  

E-Print Network [OSTI]

The phenomenon of Pavlovian conditioning has long been used to study the underlying neural mechanisms of learning. Prior studies have shown that a CS (CS+) that has been paired with an aversive US elicits antinociception. A similar effect has been...

Joynes, Robin Lee

1995-01-01T23:59:59.000Z

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

We have used our Integrated Learning Environment for Mechanics (ILEM) as a basis  

E-Print Network [OSTI]

Abstract We have used our Integrated Learning Environment for Mechanics (ILEM) as a basis.5 -0.25 0 0.25 0.5 0.75 1 DiffIRT Easy Medium Hard 0 50 100 150 200 250 300 350 400 time multi-level homework problems, where students choose to work easy (+1), medium (+2), or hard (+3

8

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

E-Print Network [OSTI]

performed the virtual experiment. The experiments were part of a unit on simple machines from the Co who performed the virtual experiment were able to answer questions dealing with work and potential-on activity in electric circuits [1, 2] while the two were equally effective in learning about heat

Zollman, Dean

9

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

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 Stuart Michael

2007-01-01T23:59:59.000Z

11

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

12

"Collaborative Project: Developing a tutorial approach to enhance student learning of intermediate mechanics" Project Summary p. 1 of 1  

E-Print Network [OSTI]

secondary science teachers, and future engineers who take these courses must create an effective bridge. Materials will address specific difficulties students have when learning the physics. Having the materials. documented improvements in student attitudes toward science, the endeavor of learning science, and the roles

Maine, University of

13

Lessons Learned  

E-Print Network [OSTI]

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

DiMento, Joseph F.C.

2000-01-01T23:59:59.000Z

14

Continual Learning  

Broader source: Energy.gov [DOE]

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

15

Neural Mechanisms of Perceptual Learning  

E-Print Network [OSTI]

medical conditions such as dyslexia [Temple et al. , 2003]clinical conditions, such as dyslexia [Temple et al. , 2003

Rokem, Ariel Shalom

2010-01-01T23:59:59.000Z

16

UNSATURATED SOIL MECHANICS IMPLEMENTATION  

E-Print Network [OSTI]

UNSATURATED SOIL MECHANICS IMPLEMENTATION DURING PAVEMENT CONSTRUCTION QUALITY ASSURANCE Mn !! Performance Based Construction QA !! Unsaturated Soil Mechanics !! What We've Learned !! Next Steps #12.6-6.0 5 - 7 19 0.8 5 7 - 9 24 1.1 4 9 - 11 28 1.2 4 #12;Unsaturated Soil Mechanics #12;Fundamentals

Minnesota, University of

17

Neural Plasticity of Development and Learning  

E-Print Network [OSTI]

Neural Plasticity of Development and Learning Galvan, 2010 Presented by Kristen Morin and Sunil Patel I. Defining Development and Learning II. Neural Plasticity III. Progressive and Regressive Changes with Learning IV. Plasticity of Developmental Timing V. Neural Mechanism- Same or Different? VI. Methodological

Gabrieli, John

18

Matrix Learning in Learning Vector Quantization  

E-Print Network [OSTI]

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

Biehl, Michael

19

Learning Innate Face Preferences  

E-Print Network [OSTI]

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

2003-01-01T23:59:59.000Z

20

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

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

Lecture notes Ideal fluid mechanics  

E-Print Network [OSTI]

Lecture notes Ideal fluid mechanics Simon J.A. Malham Simon J.A. Malham (6th Feb 2010) Maxwell and in the process learn about the subtleties of fluid mechanics and along the way see lots of interesting are generally incompressible--a feature essential to all modern car braking mechanisms. Fluids can be further

Malham, Simon J.A.

22

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

23

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

24

Build Something That Moves Mechanical Engineering  

E-Print Network [OSTI]

that Mechanical Engineers build up the energy at the beginning of the ride by raising them to a high pointBuild Something That Moves Mechanical Engineering Objective This lesson helps students learn how to create potential energy: through rolling, torque, pressure, springs, etc. Students learn how to create

Provancher, William

25

Learning Nonparametric Models for Probabilistic Imitation  

E-Print Network [OSTI]

in humans and robots. A critical requirement for learning by imi- tation is the ability to handle- chanical model of the human arm and a 25-degrees-of-freedom humanoid robot. We demonstrate by the humanoid robot. 1 Introduction A fundamental and versatile mechanism for learning in humans is imitation

Rao, Rajesh

26

Running Head: RAPID SCHEMA-CONSISTENT LEARNING 1 Incorporating Rapid Neocortical Learning of New Schema-Consistent Information  

E-Print Network [OSTI]

learning systems theory as previously presented. However, new simulations extending those reported in Mc with neocortical learning mechanisms. An additional simulation generalizes beyond the network model previously used and neocortex in learning and memory (McClelland, McNaughton & O'Reilly, 1995). However, new simulations

McClelland, James L. "Jay"

27

Successful Project Financing Mechanisms: ESPCs and UESCs Webinar  

Broader source: Energy.gov [DOE]

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...

28

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

29

Project Learning What are the "Lessons Learned"  

E-Print Network [OSTI]

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

Christian, Eric

30

Exploring the Effects of Lamarckian and Baldwinian Learning in Evolving Recurrent Neural Networks  

E-Print Network [OSTI]

winian learning mechanism''. discuss the results of the simulations. Finally, we conclude our findings1 Exploring the Effects of Lamarckian and Baldwinian Learning in Evolving Recurrent Neural Networks solution. In order to reduce the number of gener ations taken, the Lamarckian learning mechanism

Mak, Man-Wai

31

Learning Curve  

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

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

1997-03-28T23:59:59.000Z

32

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"

33

DOE Lessons Learned  

Broader source: Energy.gov [DOE]

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

34

Learning Transformations From Video  

E-Print Network [OSTI]

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

Wang, Ching Ming

2010-01-01T23:59:59.000Z

35

Coordinated learning of grid cell and place cell spatial and temporal properties: Multiple scales, attention, and oscillations  

E-Print Network [OSTI]

self-organizing map mechanisms can learn grid cell and place cell receptive fields; and the learning mechanisms may stabilize map learning, simulates how hippocampal inactivation may disrupt grid cells of grid cell models in light of recent data. Key words: grid cells; place cells; self-organizing map

Spence, Harlan Ernest

36

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

37

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

38

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

39

Lawrence E. Carlson Professor of Mechanical Engineering  

E-Print Network [OSTI]

Education, American Society of Mechanical Engineers, pp. 31-33. Solar Stirling Engine 2Cam Rock ClimbingPortfolio Lawrence E. Carlson Professor of Mechanical Engineering Founding Co-Director, Integrated Teaching and Learning Program and Laboratory University of Colorado at Boulder #12;ENGINEERING EDUCATION

Carlson, Lawrence E.

40

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

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

-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

42

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

43

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

44

Lessons Learned | Department of Energy  

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

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

45

Quantum speedup for active learning agents  

E-Print Network [OSTI]

Can quantum mechanics help us in building intelligent robots and agents? One of the defining characteristics of intelligent behavior is the capacity to learn from experience. However, a major bottleneck for agents to learn in any real-life situation is the size and complexity of the corresponding task environment. Owing to, e.g., a large space of possible strategies, learning is typically slow. Even for a moderate task environment, it may simply take too long to rationally respond to a given situation. If the environment is impatient, allowing only a certain time for a response, an agent may then be unable to cope with the situation and to learn at all. Here we show that quantum physics can help and provide a significant speed-up for active learning as a genuine problem of artificial intelligence. We introduce a large class of quantum learning agents for which we show a quadratic boost in their active learning efficiency over their classical analogues. This result will be particularly relevant for applications involving complex task environments.

Giuseppe Davide Paparo; Vedran Dunjko; Adi Makmal; Miguel Angel Martin-Delgado; Hans J. Briegel

2014-07-14T23:59:59.000Z

46

9.03 Neural Basis of Learning and Memory, Fall 2001  

E-Print Network [OSTI]

Topics in mammalian learning and memory including cellular mechanisms of neural plasticity, electrophysiology, and behavior. Emphasis on human and animal models of hippocampal mechanisms and function. Lectures and discussion ...

Corkin, Suzanne

47

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.

48

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

49

Project Learning I. What are the "Lessons Learned"  

E-Print Network [OSTI]

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

Christian, Eric

50

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

51

Specific Learning Difficulties  

E-Print Network [OSTI]

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

Anderson, Jim

52

What is Continual Learning?  

Broader source: Energy.gov [DOE]

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

53

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

54

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

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

55

Machine LearningMachine Learning Stephen Scott  

E-Print Network [OSTI]

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

Scott, Stephen D.

56

Robot Learning Learning Models for Control  

E-Print Network [OSTI]

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

57

SUNY Programs: Experiential Learning  

E-Print Network [OSTI]

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

Suzuki, Masatsugu

58

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

59

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

60

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

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

Statistical Learning Theory of Protein Dynamics  

E-Print Network [OSTI]

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

Haas, Kevin

2013-01-01T23:59:59.000Z

62

Enhancing student learning of two-level quantum systems with interactive simulations  

E-Print Network [OSTI]

The QuVis Quantum Mechanics Visualization project aims to address challenges of quantum mechanics instruction through the development of interactive simulations for the learning and teaching of quantum mechanics. In this article, we describe evaluation of simulations focusing on two-level systems developed as part of the Institute of Physics Quantum Physics resources. Simulations are research-based and have been iteratively refined using student feedback in individual observation sessions and in-class trials. We give evidence that these simulations are helping students learn quantum mechanics concepts at both the introductory and advanced undergraduate level, and that students perceive simulations to be beneficial to their learning.

Kohnle, Antje; Campbell, Anna; Korolkova, Natalia; Paetkau, Mark J

2015-01-01T23:59:59.000Z

63

Computational mechanics  

SciTech Connect (OSTI)

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

64

Designing for Learning: Multiplayer Digital Game Learning Environments  

E-Print Network [OSTI]

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

Kim, Chung

2010-01-01T23:59:59.000Z

65

Considerations for implementing an organizational lessons learned process.  

SciTech Connect (OSTI)

This report examines the lessons learned process by a review of the literature in a variety of disciplines, and is intended as a guidepost for organizations that are considering the implementation of their own closed-loop learning process. Lessons learned definitions are provided within the broader context of knowledge management and the framework of a learning organization. Shortcomings of existing practices are summarized in an attempt to identify common pitfalls that can be avoided by organizations with fledgling experiences of their own. Lessons learned are then examined through a dual construct of both process and mechanism, with emphasis on integrating into organizational processes and promoting lesson reuse through data attributes that contribute toward changed behaviors. The report concludes with recommended steps for follow-on efforts.

Fosshage, Erik

2013-05-01T23:59:59.000Z

66

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

67

Treat Teaching as Learned Profession  

E-Print Network [OSTI]

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

Helen Duffy

2004-01-01T23:59:59.000Z

68

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.

69

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

70

Residential Learning University Housing  

E-Print Network [OSTI]

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

Rusu, Adrian

71

Agreement Mechanisms  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc Documentation RUCProductstwrmrAre theAdministratorCFM LEAPAgenda AgendaAgreement Mechanisms

72

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

E-Print Network [OSTI]

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

Lake, Brenden M

2014-01-01T23:59:59.000Z

73

Mechanical Engineering ME 3720 FLUID MECHANICS  

E-Print Network [OSTI]

Mechanical Engineering ME 3720 FLUID MECHANICS Pre-requisite: ME 2330 Co-requisite: ME 3210) to develop an understanding of the physical mechanisms and the mathematical models of fluid mechanics of fluid mechanics problems in engineering practice. The basic principles of fluid mechanics

Panchagnula, Mahesh

74

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

75

e-Learning Seoul National University e-Teaching & Learning  

E-Print Network [OSTI]

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

Bahk, Saewoong

76

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

77

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

78

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

79

A Review of Student Difficulties in Upper-Level Quantum Mechanics  

E-Print Network [OSTI]

Learning advanced physics, in general, is challenging not only due to the increased mathematical sophistication but also because one must continue to build on all of the prior knowledge acquired at the introductory and intermediate levels. In addition, learning quantum mechanics can be especially challenging because the paradigms of classical mechanics and quantum mechanics are very different. Here, we review research on student reasoning difficulties in learning upper-level quantum mechanics and research on students' problem-solving and metacognitive skills in these courses. Some of these studies were multi-university investigations. The investigations suggest that there is large diversity in student performance in upper-level quantum mechanics regardless of the university, textbook, or instructor and many students in these courses have not acquired a functional understanding of the fundamental concepts. The nature of reasoning difficulties in learning quantum mechanics is analogous to reasoning difficulties...

Singh, Chandralekha

2015-01-01T23:59:59.000Z

80

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

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

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

82

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

83

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

84

Computers for Learning  

Broader source: Energy.gov [DOE]

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

85

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

86

Sharing Lessons Learned  

SciTech Connect (OSTI)

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

Mohler, Bryan L.

2004-09-01T23:59:59.000Z

87

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

E-Print Network [OSTI]

May 21, 2011LON-CAPA Conference: VCU ILEM - Integrated Learning Environment for Mechanics 21, 2011LON-CAPA Conference: VCU ILEM 3! E-text Multi Level Homework Integrated Learning Environment Recalling, Executing Vocabulary terms, Facts Single rules Medium Recalling, Executing, Integrating

88

Neuron, Vol. 43, 897905, September 16, 2004, Copyright 2004 by Cell Press Extinction Learning in Humans  

E-Print Network [OSTI]

that the mechanisms of extinction learning may be preserved across species. acquisition. However, when the rats wereNeuron, Vol. 43, 897905, September 16, 2004, Copyright 2004 by Cell Press Extinction Learning in Humans: Role of the Amygdala and vmPFC CR). Extinction occurs when a CS is presented alone, without

Phelps, Elizabeth

89

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

90

Resource Allocation in the Grid with Learning Agents Aram Galstyan*, Karl Czajkowski and Kristina Lerman  

E-Print Network [OSTI]

not necessarily map to underlying physical or geographic hierarchy. Scalable Grid al- location mechanisms needResource Allocation in the Grid with Learning Agents Aram Galstyan*, Karl Czajkowski and Kristina; accepted 19 June 2005 Key words: Grid, multi-agent system, reinforcement learning, resource allocation

Galstyan, Aram

91

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

92

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

93

LESSONS LEARNED AND BEST PRACTICES PROGRAM MANUAL  

E-Print Network [OSTI]

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

Gravois, Melanie C.

2007-01-01T23:59:59.000Z

94

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

E-Print Network [OSTI]

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

Kar, Ashish M. (Ashish Mohan)

2007-01-01T23:59:59.000Z

95

Developing and Researching PhET simulations for Teaching Quantum Mechanics S. B. McKagan,1  

E-Print Network [OSTI]

(PhET) Project, known for its interactive computer simulations for teaching and learning physics, now includes 18 simulations on quantum mechanics designed to improve learning of this difficult subject. OurDeveloping and Researching PhET simulations for Teaching Quantum Mechanics S. B. McKagan,1 K. K

Colorado at Boulder, University of

96

Stabilizing and Robustifying the Learning Mechanisms of Artificial Neural Networks  

E-Print Network [OSTI]

nonlinear dynamics of the plant, existence of a considerable amount of observation noise, and the adverse networks Z .ANN is the lack of stabilizing forces, the existence of which prevents the unbounded growth structure, which is trained on-line or off-line, will perform under the existence of strong external

Efe, Mehmet ?nder

97

IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS, VOL. 12, NO. 5, SEPTEMBER/OCTOBER 2006 945 Learning Identification Control for Model-Based  

E-Print Network [OSTI]

that incorporates the materials and mechanics in order to position the components and devices, exerting forces Learning Identification Control for Model-Based Optoelectronic Packaging Shubham K. Bhat, Timothy P and learning algorithms. Index Terms--Alignment, learning model identification, optical automation, optical

Kurzweg, Timothy P.

98

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

99

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.

100

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

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

BDNF Facilitates Instrumental Learning and Spinal Plasticity In Vivo.  

E-Print Network [OSTI]

of drug treatment was assessed by testing its effect on mechanical reactivity and spinal learning. Spinally transected rats had the BDNF-containing hydrogel applied over the lumbosacral spinal cord. Subjects were tested 3-24 hrs later. Prior work has shown...

Niemerski, Ashley

2014-01-27T23:59:59.000Z

102

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

103

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.

104

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

105

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

106

: Abduction, Learning. A System for Learning Abductive Logic  

E-Print Network [OSTI]

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

Dix, Juergen

107

The Alameda Corridor: Lessons Learned  

E-Print Network [OSTI]

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

Bertini, Robert L.

108

Hybrid Machine Learning Princeton University  

E-Print Network [OSTI]

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

Mohri, Mehryar

109

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

110

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

111

Software Carpentry: Lessons Learned  

E-Print Network [OSTI]

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

Greg Wilson

2014-01-29T23:59:59.000Z

112

Software Carpentry: Lessons Learned  

E-Print Network [OSTI]

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

Wilson, Greg

2013-01-01T23:59:59.000Z

113

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

114

Heavy Mobile Equipment Mechanic (One Mechanic Shop)  

Broader source: Energy.gov [DOE]

The position is a Heavy Mobile Equipment Mechanic (One Mechanic Shop) located in Kent, Washington, and will be responsible for the safe and efficient operation of a field garage performing...

115

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

E-Print Network [OSTI]

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

Fountain, Stephen B.; Doyle, Karen E.

2011-01-01T23:59:59.000Z

116

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

117

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

118

National Fuel Cell Electric Vehicle Learning Demonstration Final Report  

SciTech Connect (OSTI)

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

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

2012-07-01T23:59:59.000Z

119

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

120

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

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 & 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.

122

Mechanical engineering Department Seminar  

E-Print Network [OSTI]

and the Department of Mechanical Engineering Tufts University Retooling Our Energy Ecosystem: challengesMechanical engineering Department Seminar Robert J. Hannemann The Gordon Institute and Chair of the Tufts Department of Mechanical Engineering. His technical and academic interests

123

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

124

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

125

Learning planar ising models  

SciTech Connect (OSTI)

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

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

2010-11-12T23:59:59.000Z

126

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

E-Print Network [OSTI]

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

Shahriar, Selim

127

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

128

BEE 331. Bio-Fluid Mechanics Fall Semester 2005  

E-Print Network [OSTI]

BEE 331. Bio-Fluid Mechanics Fall Semester 2005 1. Course Outcomes: Outcome 1. Learn the principles of fluid hydrostatics and dynamics in biological systems. Assessment Metrics: Home work assignments 1, 2. Become familiar with methods of measuring fluid flow. Assessment Metrics: Homework assignments: 2

Walter, M.Todd

129

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

E-Print Network [OSTI]

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

Paris-Sud XI, Universit de

130

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

E-Print Network [OSTI]

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

McLaren, Bruce Martin

131

Machine Learning for Global Optimization  

E-Print Network [OSTI]

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

schoen,,,

132

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.

133

Mechanical engineering Department Seminar  

E-Print Network [OSTI]

Mechanical engineering Department Seminar Ju Li Professor MIT Electrochemical-mechanical actions computational and experimental research on mechanical properties of materials, and energy storage and conversion Refreshments served at 10:45 AM The creation of a nanoscale electrochemical and mechanical testing platform

Lin, Xi

134

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

135

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

136

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

137

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.

138

Combined Quantum Mechanical and Molecular Mechanics Studies of...  

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

139

APRIL: Active Preference-learning based Reinforcement Learning  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

140

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

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

Team Leader, Learning for Livelihoods Commonwealth of Learning  

E-Print Network [OSTI]

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

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

142

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

143

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

144

Lessons Learned Quarterly Report, June 2004  

Broader source: Energy.gov [DOE]

Welcome to the 39th quarterly report on lessons learned in the NEPA process. In this issue we are continuing a multi-part examination of lessons learned from Lessons Learned.

145

Lessons Learned Quarterly Report, March 2004  

Broader source: Energy.gov [DOE]

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

146

Sequential Causal Learning in Humans and Rats  

E-Print Network [OSTI]

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

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

2008-01-01T23:59:59.000Z

147

Sequential Causal Learning in Humans and Rats  

E-Print Network [OSTI]

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

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

2011-01-01T23:59:59.000Z

148

Feedback controller parameterizations for reinforcement learning  

E-Print Network [OSTI]

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

Roberts, John William

149

File: 070629 Lessons Learned  

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

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

150

Sandia National Laboratories: Mechanical Testing  

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

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

151

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

152

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

153

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

154

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

155

Learning Management System Transition Project  

E-Print Network [OSTI]

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

156

Documentation Requirements for Learning Disabilities  

E-Print Network [OSTI]

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

157

Internal pipe attachment mechanism  

DOE Patents [OSTI]

An attachment mechanism for repairing or extending fluid carrying pipes, casings, conduits, etc. utilizing one-way motion of spring tempered fingers to provide a mechanical connection between the attachment mechanism and the pipe. The spring tempered fingers flex to permit insertion into a pipe to a desired insertion depth. The mechanical connection is accomplished by reversing the insertion motion and the mechanical leverage in the fingers forces them outwardly against the inner wall of the pipe. A seal is generated by crushing a sealing assembly by the action of setting the mechanical connection.

Bast, Richard M. (Livermore, CA); Chesnut, Dwayne A. (Pleasanton, CA); Henning, Carl D. (Livermore, CA); Lennon, Joseph P. (Livermore, CA); Pastrnak, John W. (Livermore, CA); Smith, Joseph A. (Livermore, CA)

1994-01-01T23:59:59.000Z

158

Internal pipe attachment mechanism  

DOE Patents [OSTI]

An attachment mechanism is described for repairing or extending fluid carrying pipes, casings, conduits, etc. utilizing one-way motion of spring tempered fingers to provide a mechanical connection between the attachment mechanism and the pipe. The spring tempered fingers flex to permit insertion into a pipe to a desired insertion depth. The mechanical connection is accomplished by reversing the insertion motion and the mechanical leverage in the fingers forces them outwardly against the inner wall of the pipe. A seal is generated by crushing a sealing assembly by the action of setting the mechanical connection. 6 figures.

Bast, R.M.; Chesnut, D.A.; Henning, C.D.; Lennon, J.P.; Pastrnak, J.W.; Smith, J.A.

1994-12-13T23:59:59.000Z

159

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

E-Print Network [OSTI]

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

Bylander, Tom

160

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

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

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.

162

Mechanical engineering Department Seminar  

E-Print Network [OSTI]

efficient energy systems. Evelyn N. Wang is an Associate Professor in the Mechanical Engineering DepartmentMechanical engineering Department Seminar Evelyn Wang Depaprtment of Mechanical Engineering MIT Nanoengineered Surfaces: Transport Phenomena and Energy Applications 11:00 AM Friday, 5 April 2013 Room 245, 110

163

Mechanical engineering Department Seminar  

E-Print Network [OSTI]

Mechanical engineering Department Seminar Domitilla Del Vecchio Department of Mechanical. A near future is envisioned in which re- engineered bacteria will turn waste into energy and kill cancer, she joined the Department of Mechanical Engineering and the Laboratory for Information and Decision

164

Mechanical & Aerospace Engineering  

E-Print Network [OSTI]

in Mechanical Engineering at the School for Engineering of Matter, Transport and Energy, working in Dr. MarcusMechanical & Aerospace Engineering The atomization of a liquid jet by a high speed cross.S.E. degree in mechanical engineering from Amirkabir University of Technology in 2006 and M.S. degree

165

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

166

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

167

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

168

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

169

Implementing Learning Design to support web-based learning  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

170

St. Louis FUSRAP Lessons Learned  

SciTech Connect (OSTI)

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

171

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

172

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

173

Iteratively extending time horizon reinforcement learning  

E-Print Network [OSTI]

- Belgium y Research Fellow FNRS, #3; Postdoctoral Researcher FNRS Abstract. Reinforcement learning aims

Wehenkel, Louis

174

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

175

Foundations for a New Science of Learning  

E-Print Network [OSTI]

complex learning. In computer simulations, starting the learn- ing process with a low-resolution sensoryFoundations for a New Science of Learning Andrew N. Meltzoff,1,2,3 * Patricia K. Kuhl,1,3,4 Javier Movellan,5,6 Terrence J. Sejnowski5,6,7,8 Human learning is distinguished by the range and complexity

176

Nonparametric Bayesian Policy Priors for Reinforcement Learning  

E-Print Network [OSTI]

We consider reinforcement learning in partially observable domains where the agent can query an expert for

Doshi-Velez, Finale P.

177

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.

178

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

179

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

180

: 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

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

Learning in the labor market  

E-Print Network [OSTI]

This thesis is a collection of three independent essays that study the implication of learning on labor mobility, labor supply, wage distribution, wage dynamics, and allocations of workers under different assumptions about ...

Li, Jin, Ph. D. Massachusetts Institute of Technology

2007-01-01T23:59:59.000Z

182

Learning Outcomes Author: Paul Surgenor  

E-Print Network [OSTI]

2010 #12;Learning Outcomes "On completion of this [module/programme] students will be able to..." Biggs alignment (Biggs, 2002). Outcomes should also address a variety of cognitive levels, ensuring that students

183

RESIDENTIAL PROGRAM FOR LANGUAGE LEARNING  

E-Print Network [OSTI]

RESIDENTIAL PROGRAM FOR LANGUAGE LEARNING Live on-campus in 2014-15 and participate in a unique as part of a residential community in Arroyo Vista! Open to all undergraduate students with 2-3 years

Loudon, Catherine

184

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

185

E-Print Network 3.0 - animal-centered learning activities Sample...  

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

learning activities Page: << < 1 2 3 4 5 > >> 1 Active Learning 10-701, Machine Learning, Spring 2011 Summary: Active Learning Yi Zhang 10-701, Machine Learning,...

186

Behavioral/Systems/Cognitive Rule-Based Learning Explains Visual Perceptual Learning  

E-Print Network [OSTI]

). Alternatively, Mollon and Danilova (1996) hypothesized that learning occurs at a central site, but what learning hypoth- esis (Mollon and Danilova, 1996), the complete location transfer of learning indicates

Klein, Stanley

187

The Department of Mechanical Engineering --Engineering Mechanics  

E-Print Network [OSTI]

undergraduate and graduate courses in thermodynamics, fuel cell systems, sustainable energy systems, and mechanical systems design. Dr. Ellis is the director of the Sustainable Energy Research Program in Virginia. Ellis has 25 years of experience in engineering, research, and education related to the development

Endres. William J.

188

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

189

Mechanical engineering Department Seminar  

E-Print Network [OSTI]

operating in microfluidic environment, which can dynamically diverge, collimate and focus surface plasmons in 2012, with a joint appointment in the Department of Mechanical & Industrial Engineering

Lin, Xi

190

Mechanical engineering Department Seminar  

E-Print Network [OSTI]

Research Center. Currently he is an Assistant Prof. in the Aerospace and Ocean Engineering DepartmentMechanical engineering Department Seminar Cornel Sultan Virginia Tech Design for Control

191

Technology Partnering Mechanisms  

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

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

192

association learning: Topics by E-print Network  

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

Paris-Sud XI, Universit de 4 & Investigating Learning Deficits Associated with Dyslexia CiteSeer Summary: An artificial grammar learning task was used to define two learning...

193

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

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

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...

194

Learning style impact on knowledge gains in human patient simulation  

E-Print Network [OSTI]

the preference for simulation as a learning style. Singap.of high- ?delity simulation-based learning: a case reportdelity simulation: does it correlate with learning styles?

Shinnick, MA; Woo, MA

2014-01-01T23:59:59.000Z

195

Learning style impact on knowledge gains in human patient simulation  

E-Print Network [OSTI]

the preference for simulation as a learning style. Singap.of high- ?delity simulation-based learning: a case reportdelity simulation: does it correlate with learning styles?

Shinnick, MA; Woo, MA

2015-01-01T23:59:59.000Z

196

Lessons Learned: Peer Exchange Calls Fall 2014 | Department of...  

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

Calls Fall 2014 Lessons Learned: Peer Exchange Calls Fall 2014 Better Buildings Residential Network, Lessons Learned: Peer Exchange Calls Fall 2014. Lessons Learned: Peer...

197

Learning how to play Nash, potential games and alternating ...  

E-Print Network [OSTI]

Page 1 ... of the most important topic is how do players learn to play Nash equilibria (Chen and Gazzale [17]). Learning dynamics include Bayesian learning,...

Megiddo

2012-01-31T23:59:59.000Z

198

National Wind Distance Learning Collaborative  

SciTech Connect (OSTI)

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

Dr. James B. Beddow

2013-03-29T23:59:59.000Z

199

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

200

Department of Mechanical Engineering  

E-Print Network [OSTI]

Explore and understand applicable science Create new materials #12;Indian Railways #12;Wheel Impact Load automated system for On-Line estimation of Wheel Impact Loads and detection of Wheel Flats of running trains Detection System (WILD) #12;Derailment Mechanism Laboratory Tests Lab Brake Mechanism Placement of Sensors

Srivastava, Kumar Vaibhav

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

Mechanical & Aerospace Engineering  

E-Print Network [OSTI]

Mechanical & Aerospace Engineering In the pursuit of developing manned, reusable hypersonic & Energy Arizona State University November 9, 2012 at 1:30pm in SCOB 228 School for Engineering of Matter will experience thermal and mechanical loads. The research presented will discuss advancements in structural

202

Mechanical engineering Department Seminar  

E-Print Network [OSTI]

Mechanical engineering Department Seminar Junjie Niu Postdoctoral Associate MIT Engineering Nano nanomaterials in applications of energy storage, biomedicine and chemo-mechanics. In 2007, Dr.Niu received young-structured Materials for Energy Storage 11:00 AM Friday, 14 February 2014 Room 245, 110 Cummington Mall Refreshments

Lin, Xi

203

Mechanical & Aerospace Engineering  

E-Print Network [OSTI]

Mechanical & Aerospace Engineering The development of high-energy storage devices has been one energy capacity over 500 cycles. Teng Ma received his BS degree in Thermal and Power Engineering from Xi and Technology of China in 2009. He is currently a Ph.D. candidate in Mechanical Engineering at School

204

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

205

Respiratory Mechanisms of Support  

E-Print Network [OSTI]

Respiratory Mechanisms of Support Nasal Cannula Hi Flow Nasal Cannula CPAP Continuous positive the respiratory system is working to compensate for a metabolic issue so as to normalize the blood pH. HCO3 - 22 uses PIP Mechanical Ventilation: Volume vs. Pressure: Volume Control Pressure Control Cycle Volume Time

Kay, Mark A.

206

Graduate Studies Environmental Fluid Mechanics  

E-Print Network [OSTI]

Graduate Studies Environmental Fluid Mechanics and Water Resources Engineering ENVIRONMENTAL FLUID MECHANICS AND WATER RESOURCES ENGINEERING (EFMWR) The environmental fluid mechanics and water resources Environmental Fluid Mechanics and Hydraulic Engineering research focuses on turbulent entrainment, transport

Jacobs, Laurence J.

207

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

208

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.

209

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

210

Lessons Learned from Safety Events  

SciTech Connect (OSTI)

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

211

Unsupervised Learning in Networks of Spiking Neurons Using Temporal Coding  

E-Print Network [OSTI]

. We propose a mechanism for unsupervised learning in networks of spiking neurons which is based on the timing of single firing events. Our results show that a topology preserving behaviour quite similar to that of Kohonen's self-organizing map can be achieved using temporal coding. In contrast to previous approaches, which use rate coding, the winner among competing neurons can be determined fast and locally. Hence our model is a further step towards a more realistic description of unsupervised learning in biological neural systems. 1 Introduction In the area of modelling information processing in biological neural systems, there is an ongoing debate about which essentials have to be taken into account (see e.g. [3,13,11,9]). Discrete models, such as threshold gates or McCullochPitts neurons, are undoubtedly very simplistic descriptions of biological neurons. Models with real-valued output, such as the sigmoidal gate, where analogue values are interpreted as firing rates of biologica...

1997-01-01T23:59:59.000Z

212

Graduate Studies Environmental Fluid Mechanics  

E-Print Network [OSTI]

Graduate Studies Environmental Fluid Mechanics and Water Resources Engineering GRADUATE COURSESResourcesManagement · IntermediateFluidMechanics · AdvancedFluidMechanics · EnvironmentalFluidMechanics · AdvancedEnvironmental FluidMechanics · FluidMechanicsofOrganisms · OpenChannelHydraulics · SedimentTransport · ComputationalFluidMechanics

Storici, Francesca

213

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

214

An invitation from the MSU Teaching & Learning Committee Facebook for Adults  

E-Print Network [OSTI]

An invitation from the MSU Teaching & Learning Committee Facebook for Adults ~ a primer, we'll explore the mechanics of the popular social networking tool Facebook. What does it look like of Facebook in the context of higher education: how to understand the common uses of the tools by students

Dyer, Bill

215

Fire Safety in High-rise Buildings, Lessons Learned from the WTC  

E-Print Network [OSTI]

concludes with a list of lessons learned and questions yet to be answer but fundamentally, with a plea for a detailed analysis of this event and a subsequent plan for fire research. Understanding the mechanisms that led to the collapse of the World Trade...

Torero, Jose L; Quintiere, James Q; Steinhaus, Thomas

2002-01-01T23:59:59.000Z

216

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

217

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

218

Electronic door locking mechanism  

DOE Patents [OSTI]

The invention is a motorized linkage for engaging a thumb piece in a door mechanism. The device has an exterior lock assembly with a small battery cell and combination lock. Proper entry by a user of a security code allows the battery to operate a small motor within the exterior lock assembly. The small motor manipulates a cam-plunger which moves an actuator pin into a thumb piece. The user applies a force on to the thumb piece. This force is transmitted by the thumb piece to a latch engagement mechanism by the actuator pin. The latch engagement mechanism operates the door latch.

Williams, Gary Lin (428 E. Third Ave., Kennewick, WA 99336); Kirby, Patrick Gerald (1010 W. Fifteenth Pl., Kennewick, WA 99337)

1997-01-01T23:59:59.000Z

219

Electronic door locking mechanism  

DOE Patents [OSTI]

The invention is a motorized linkage for engaging a thumb piece in a door mechanism. The device has an exterior lock assembly with a small battery cell and combination lock. Proper entry by a user of a security code allows the battery to operate a small motor within the exterior lock assembly. The small motor manipulates a cam-plunger which moves an actuator pin into a thumb piece. The user applies a force on to the thumb piece. This force is transmitted by the thumb piece to a latch engagement mechanism by the actuator pin. The latch engagement mechanism operates the door latch. 6 figs.

Williams, G.L.; Kirby, P.G.

1997-10-21T23:59:59.000Z

220

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

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

Total learning : education beyond the classroom  

E-Print Network [OSTI]

What is a quality learning space? This thesis is a study of a prototype for secondary school to provide a stimulating learning environment and a nurturing growing space in an urban site through exploration of different ...

Im, Soo O., 1972-

2002-01-01T23:59:59.000Z

222

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

223

SCIENCE LEARNING+: PLANNING GRANTS APPLICATION GUIDELINES  

E-Print Network [OSTI]

+ is an international initiative that will explore and understand the power of informal learning experiences inside are part of the Science Learning+ scheme which aims to make a transformational step to improve

Rambaut, Andrew

224

An introducWon to Machine Learning  

E-Print Network [OSTI]

with the development, the analysis, and the application of algorithms that allow computers to learn LearningWons: autonomous driving DARPA Grand challenge 2005: build a robot capable of navigaWng 240 km through desert

Wehenkel, Louis

225

An introduc+on to Machine Learning  

E-Print Network [OSTI]

, the analysis, and the application of algorithms that allow computers to learn l Learning: l A computer;5 Applica+ons: autonomous driving l DARPA Grand challenge 2005: build a robot capable

Wehenkel, Louis

226

Lessons Learned Tracy Glauser, M.D.  

E-Print Network [OSTI]

Lessons Learned Tracy Glauser, M.D. Cincinnati Children's Hospital Medical Center #12;Overview 1. Lessons Learned a. NeuroNEXT Executive Committee b. NINDS clinical trials (NSD-K) study section c. PI

227

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

228

Learning from Roman Seawater Concrete  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces and Interfaces Sample6, 2011 LawrenceE C H N I C A LMn4CaLearningLearning

229

Fun with Big Sky Learning  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsingFun with Big Sky Learning Fun with Big Sky Learning WHEN: Mar 21, 2015 11:00 AM -

230

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

231

Learning Defect Predictors:Lessons from the Trenches Learning Defect Predictors  

E-Print Network [OSTI]

Learning Defect Predictors:Lessons from the Trenches Learning Defect Predictors: Lessons from the Trenches Tim Menzies LCSEE, WVU tim@menzies.us October 28, 2008 1 / 40 #12;Learning Defect Predictors:Lessons change the rules of the game. 2 / 40 #12;Learning Defect Predictors:Lessons from the Trenches

Menzies, Tim

232

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

233

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

234

Empirical Bayes for Learning to Learn Tom Heskes tom@mbfys.kun.nl  

E-Print Network [OSTI]

mul titask learning, linking theoretical results to practical simulations. In our model all tasksEmpirical Bayes for Learning to Learn Tom Heskes tom@mbfys.kun.nl SNN, University of Nijmegen are combined in a single feedforward neu ral network. Learning is implemented in a Bayesian fashion

Heskes, Tom

235

Scientific Discovery Learning with Computer Simulations Scientific Discovery Learning with Computer  

E-Print Network [OSTI]

Scientific Discovery Learning with Computer Simulations 1 Scientific Discovery Learning with Computer Simulations 2 Abstract Scientific discovery learning is a highly self-directed and constructivistic form of learning. A computer simulation is a type of computer-based environment that is very

Paris-Sud XI, Universit de

236

Webinar: National Hydrogen Learning Demonstration Status  

Broader source: Energy.gov [DOE]

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

237

LOWER BOUNDS ON LEARNING RANDOM STRUCTURES WITH  

E-Print Network [OSTI]

of Learning Parity PAC PAC w/ noise "noisy parity" Statistical Queries Yes [Gauss] O(2n/logn) [BKW] maybe

Reyzin, Lev

238

Department of Mechanical Engineering/Material Science and Engineering Spring 2013 Project Name Development of Test Rig to  

E-Print Network [OSTI]

PENNSTATE Department of Mechanical Engineering/Material Science and Engineering Spring 2013 Project up. The hardest part of this project was learning SolidWorks, how to incorporate mechanical design into an actual project, general machining (boring, reaming, broaching), advanced machining (CNC), and data

Demirel, Melik C.

239

Ultralight, ultrastiff mechanical metamaterials  

E-Print Network [OSTI]

The mechanical properties of ordinary materials degrade substantially with reduced density because their structural elements bend under applied load. We report a class of microarchitected materials that maintain a nearly ...

Zheng, Xiaoyu

240

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

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

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

242

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.

243

Environmental Restoration Disposal Facility Lessons Learned  

SciTech Connect (OSTI)

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

Caulfield, R.

2012-07-12T23:59:59.000Z

244

LESSONS LEARNED AND BEST PRACTICES PROGRAM MANUAL  

E-Print Network [OSTI]

LESSONS LEARNED AND BEST PRACTICES PROGRAM MANUAL LBNL/PUB-5519 (4), Rev. 1 Approved by: _James (4), Rev. 1 Page 2 of 15 Lessons Learned and Best Practices Program Manual RECORD OF REVISION........................................................................................ 15 #12;LBNL/PUB-5519 (4), Rev. 1 Page 4 of 15 Lessons Learned and Best Practices Program Manual 1

245

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

246

Active Learning of Group-Structured Environments  

E-Print Network [OSTI]

Active Learning of Group-Structured Environments Gabor Bartok, Csaba Szepesvari , Sandra Zilles with their environment. We investigate learning environments that have a group structure. We introduce a learning model an environment from partial information is far from trivial. However, positive results for special subclasses

Szepesvari, Csaba

247

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

248

Satellite Navigation Integrity Assurance: Lessons Learned  

E-Print Network [OSTI]

Satellite Navigation Integrity Assurance: Lessons Learned from Hurricane Katrina ION GNSS 2008 by the FAA Satellite Navigation Program Office #12;17 September 2008 Lessons Learned from Hurricane Katrina 2 for probabilistic modeling and analysis #12;17 September 2008 Lessons Learned from Hurricane Katrina 3 Key Sources

Stanford University

249

SPECIAL SEMINAR Cheating Lessons: Learning from  

E-Print Network [OSTI]

SPECIAL SEMINAR Cheating Lessons: Learning from Academic Dishonesty SPONSORED BY THE CENTER Lang is author of four books, the most recent of which are Cheating Lessons: Learning from Aca- demic FOR INNOVATION IN TEACHING & LEARNING AND NATIONAL CENTER FOR PROFESSIONAL & RESEARCH ETHICS Thurs, May 29, 2014

Liberzon, Daniel

250

Lessons Learned from the journ to Institutional  

E-Print Network [OSTI]

Lessons Learned from the journ to Institutional TransformationOctober 2013 University of Las Vegas I'll talk a little about what we've learned through an NSF Institutional Transformation grant- group preferences, more work to communicate, tokenism if learn

Hemmers, Oliver

251

ARTIFICIAL INTELLIGENCE ] Learning One Subprocedure per Lesson  

E-Print Network [OSTI]

ARTIFICIAL INTELLIGENCE ] Learning One Subprocedure per Lesson Kurt VanLehn Department be called learning from lesson s'equence.~, because the extra information given to the learner is embedded section ,of this article, a variant of learning from lesson sequcnccs will bc discusscd whercm lessons arc

VanLehn, Kurt

252

INCOSE 2007 1 Lessons Learned From  

E-Print Network [OSTI]

INCOSE 2007 1 Lessons Learned From Industrial Validation of COSYSMO 17th INCOSE Symposium Dr. Gan is not standardized · Model development process yielded 11 lessons learned Valerdi, R., Rieff, J., Roedler, G., Wheaton, M., Lessons Learned from Collecting Systems Engineering Data, Conference on Systems Engineering

de Weck, Olivier L.

253

Neuronal Representations of Learning Sensorimotor Skills  

E-Print Network [OSTI]

of learning-related changes: additional controls and simulations....68-74 V. Viewing and Doing: SimilarNeuronal Representations of Learning Sensorimotor Skills Thesis submitted for the degree "Doctor.......................................................................................26-47 II. Preparatory Activity in Motor Cortex Reflects Learning of Local Visuomotor Skills

254

Scientific Data Analysis via Statistical Learning  

E-Print Network [OSTI]

observations and simulations. Statistical machine learning algorithms have enormous potential to provide data, and the analysis of hurricanes and tropical storms in climate simulations. #12;Supervised Learning for SupernovaScientific Data Analysis via Statistical Learning Raquel Romano romano at hpcrd dot lbl dot gov

Geddes, Cameron Guy Robinson

255

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.....................................................................................Error! Bookmark not defined. Managing Self-Reported Training ......................................................................................................................................19 #12;Title of Document | 2 Last updated 6/30/10 Introduction to the UC Learning Center The UC

Gleeson, Joseph G.

256

MECH 386 INDUSTRIAL FLUID MECHANICS INDUSTRIAL FLUID MECHANICS  

E-Print Network [OSTI]

MECH 386 ­ INDUSTRIAL FLUID MECHANICS 1 INDUSTRIAL FLUID MECHANICS MECH 386 Contact information Dr This course is an introduction to industrial fluid mechanics. According to J. C. R. Hunt (a famous fluid mechanics specialist): "industrial fluid mechanics broadly covers those aspects of the design, manufacture

257

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.

258

The Role of Micro-Mechanics in Soil Mechanics  

E-Print Network [OSTI]

The Role of Micro-Mechanics in Soil Mechanics M.D.Bolton CUED/D-Soils/TR313 September 2000;1 The Role of Micro-Mechanics in Soil Mechanics Malcolm Bolton Summary It is suggested that observations of the changing microstructure of soils will permit the selection and refinement of relevant micro-mechanisms

Bolton, Malcolm

259

A vision for reinforcement learning  

E-Print Network [OSTI]

of California, San Diego August 21, 2011 1 / 29 #12;What is the goal of maintenance? Preventive maintenanceA vision for reinforcement learning and predictive maintenance Charles Elkan University. Intrinsically probabilistic: Reduce expected later cost. From reactive maintenance to proactive maintenance

Wang, Deli

260

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

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

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

262

Field observations and lessons learned  

SciTech Connect (OSTI)

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

263

Higher Education Learning Agreement form  

E-Print Network [OSTI]

/year] ................ till [month/year] ............... Table A: Study programme abroad Web link to the course catalogue at the receiving institution describing the learning outcomes: [Web link(s) to be provided.] Table B: Group: [Please, specify or provide a web link to the relevant information.] Language competence of the student

Greifswald, Ernst-Moritz-Arndt-Universitt

264

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.

265

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

266

Machine learning onMachine learning onMachine learning onMachine learning on accelerator simulation dataaccelerator simulation data  

E-Print Network [OSTI]

· Plasma acceleration: ­ LWFA: compact source of high-energy Energy 6MeV 32009 DOE Computer Graphics Forum to acceleration, given space and energy variables. · Goal: use machine learning to automate detection of compact (highest energy) group of particles in simulations; · Material: millions of particles in plasma under

267

Learner characteristics involved in distance learning  

SciTech Connect (OSTI)

Distance learning represents a strategy for leveraging resources to solve educational and training needs. Although many distance learning programs have been developed, lessons learned regarding differences between distance learning and traditional education with respect to learner characteristics have not been well documented. Therefore, we conducted a survey of 20 distance learning professionals. The questionnaire was distributed to experts attending the second Distance Learning Conference sponsored by Los Alamos National Laboratory. This survey not only acquired demographic information from each of the respondents but also identified important distance learning student characteristics. Significant distance learner characteristics, which were revealed statistically and which influence the effectiveness of distance learning, include the following: reading level, student autonomy, and self-motivation. Distance learning cannot become a more useful and effective method of instruction without identifying and recognizing learner characteristics. It will be important to consider these characteristics when designing all distance learning courses. This paper will report specific survey findings and their implications for developing distance learning courses. 9 refs., 6 tabs.

Cernicek, A.T.; Hahn, H.A.

1991-01-01T23:59:59.000Z

268

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

269

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.

270

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.

271

Experimental unsaturated soil mechanics  

E-Print Network [OSTI]

In this general report, experimental systems and procedures of investigating the hydro-mechanical behaviour of unsaturated soils are presented. The water retention properties of unsaturated soils are commented and linked to various physical parameters and properties of the soils. Techniques of controlling suction are described together with their adaptation in various laboratory testing devices. Some typical features of the mechanical behaviour of unsaturated soils are presented within an elasto-plastic framework. An attempt to describe the numerous and significant recent advances in the investigation of the behaviour of unsaturated soils, including the contributions to this Conference, is proposed.

Delage, Pierre

2008-01-01T23:59:59.000Z

272

Mechanical Behavior of Indium Nanostructures  

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

273

Department of Mechanical Engineering  

E-Print Network [OSTI]

Department of Mechanical Engineering 2014 Fast Facts Faculty Based on 2013 statistics from Master's Degrees Awarded 45 Doctorate Degrees Awarded Funding Fiscal Year 2013 $20M Total Research for Energetic Concepts Development Center for Environmental Energy Engineering Center for Risk and Reliability

Li, Teng

274

MECHANICAL TEST LAB CAPABILITIES  

E-Print Network [OSTI]

MECHANICAL TEST LAB CAPABILITIES · Static and cyclic testing (ASTM and non-standard) · Impact drop testing · Slow-cycle fatigue testing · High temperature testing to 2500°F · ASTM/ Boeing/ SACMA standard testing · Ability to design and fabricate non-standard test fixtures and perform non-standard tests

275

Mechanical engineering Department Seminar  

E-Print Network [OSTI]

Mechanical engineering Department Seminar Jason Fleischer Department of Electrical Engineering Princeton University Fluid dynamics of light 11:00 AM Friday, November 4th, 2011 Room 245, 110 Cummington Street Refreshments served at 10:45 AM Fluid dynamics inspired the original wave theories of light, while

276

Quantum Mechanics and Gravitation  

E-Print Network [OSTI]

In summer 1999 an experiment at ILL, Grenoble was conducted. So-called ultra-cold neutrons (UCN) were trapped in the vertical direction between the Fermi-potential of a smooth mirror below and the gravitational potential of the earth above [Ne00, Ru00]. If quantum mechanics turns out to be a sufficiently correct description of the phenomena in the regime of classical, weak gravitation, one should observe the forming of quantized bound states in the vertical direction above a mirror. Already in a simplified view, the data of the experiment provides strong evidence for the existence of such gravitationally bound quantized states. A successful quantum-mechanical description would then provide a convincing argument, that the socalled first quantization can be used for gravitation as an interaction potential, as this is widely expected. Furthermore, looking at the characteristic length scales of about 10 mikron of such bound states formed by UCN, one sees, that a complete quantum mechanical description of this experiment additionally would enable one to check for possible modifications of Newtonian gravitation on distance scales being one order of magnitude below currently available tests [Ad00]. The work presented here deals mainly with the development of a quantum mechanical description of the experiment.

A. Westphal

2003-04-08T23:59:59.000Z

277

Mechanical & Aerospace Engineering  

E-Print Network [OSTI]

, electrical, and computing sciences that allows the development of machines that are able to act to recent advances in the science of robotics, and thus the machines perform primarily as mechanical devices for manual (human) labor. However, many machines currently in use in manufacturing were developed prior

278

Mechanical engineering Department Seminar  

E-Print Network [OSTI]

Mechanical engineering Department Seminar Wynter J. Duncanson Department of Aerospace and Ocean Engineering Virginia Tech Smart' Bubbles for Acoustic Contrast in Oil Reservoirs 11:00 AM Friday, 19 April engineering from Boston University. Her doctoral research was devoted to designing surface architectures

279

Mechanical engineering Department Seminar  

E-Print Network [OSTI]

Mechanical engineering Department Seminar Eric Suuberg Professor Brown University Another Reason, chemicals of anthropogenic origin can migrate from soil into houses, invis- ibly, over time, impacting the soil gas migration problem, and used these to develop simple analytical approaches to estimating

Lin, Xi

280

Residential Mechanical Precooling  

SciTech Connect (OSTI)

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

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

Imaging the Antikythera Mechanism  

SciTech Connect (OSTI)

In 1900, a party of sponge divers chanced on the wreck of a Roman merchant vessel between Crete and mainland Greece. It was found to contain numerous ancient Greek treasures, among them a mysterious lump of clay that split open to reveal 'mathematical gears' as it dried out. This object is now known as the Antikythera Mechanism, one of the most enlightening artifacts in terms of revealing the advanced nature of ancient Greek science and technology. In 2005 we travelled to the National Archeological Museum in Athens to apply our Reflectance Imaging methods to the mechanism in the hopes of revealing ancient writing on the device. We were successful, and along with the results of Microfocus CT imaging, we are able to decipher 3000 characters compared with the original 800 known. This lead to an understanding that the device was a mechanical, astronomical computer from 150 B.C.E. capable of predicting solar and lunar eclipses along with other celestial events. This talk will overview both the imaging methods as well as what they reveal about the Antikythera Mechanism.

Malzbender, Tom (Hewlett Packard Laboratories) [Hewlett Packard Laboratories

2011-01-12T23:59:59.000Z

282

Lessons learned from RTG programs  

SciTech Connect (OSTI)

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

283

System safety management lessons learned  

SciTech Connect (OSTI)

The Assistant Secretary of the Army for Research, Development and Acquisition directed the Army Safety Center to provide an audit of the causes of accidents and safety of use restrictions on recently fielded systems by tracking residual hazards back through the acquisition process. The objective was to develop ''lessons learned'' that could be applied to the acquisition process to minimize mishaps in fielded systems. System safety management lessons learned are defined as Army practices or policies, derived from past successes and failures, that are expected to be effective in eliminating or reducing specific systemic causes of residual hazards. They are broadly applicable and supportive of the Army structure and acquisition objectives. 29 refs., 7 figs.

Piatt, J.A.

1989-05-01T23:59:59.000Z

284

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

285

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.

286

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

287

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.

288

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

289

Lessons Learned | Department of Energy  

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy UsageAUDITVehicles »Exchange Visitorsfor Shade Landscaping for ShadeLessons Learned

290

Fluid Mechanics and Homeland Security  

E-Print Network [OSTI]

Fluid Mechanics and Homeland Security Gary S. Settles Mechanical and Nuclear Engineering Department. 2006. 38:87­110 The Annual Review of Fluid Mechanics is online at fluid.annualreviews.org doi: 10 security involves many applications of fluid mechanics and offers many opportunities for research

Settles, Gary S.

291

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

292

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

293

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"

294

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

295

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

296

MOTOR SCHEMAS IN ROBOT LEARNING Lynne E. Parker  

E-Print Network [OSTI]

allows robot learning to scale to more complex robots or tasks, thus making practical applicationsMOTOR SCHEMAS IN ROBOT LEARNING Lynne E. Parker Department of Electrical Engineering and Computer in robot learning; Macro actions in robot learning; Basis behaviors for robot learning. Definition Motor

Parker, Lynne E.

297

Learning Goals for Major in Environmental Sciences Undergraduate Student Learning Initiative / University of California, Berkeley  

E-Print Network [OSTI]

Learning Goals for Major in Environmental Sciences Undergraduate Student Learning Initiative / University of California, Berkeley Environmental Sciences (ES) is an interdisciplinary enterprise that deals, statistics, behavioral science, policy, economics, and law. Environmental Sciences provides a rigorous

Wildermuth, Mary C

298

A Case Study of the Applied Learning Academy: Reconceptualized Quantum Design of Applied Learning  

E-Print Network [OSTI]

The purpose of this qualitative study was to examine the Applied Learning Academy (ALA) and allow the lessons learned from this public school to emerge from the narrative stories of past students, parents, teachers, administrators, and local...

Gordon, Denise

2010-07-14T23:59:59.000Z

299

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

300

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

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

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-unfolding energy barriers in the hard (fixed displacements) and soft (fixed forces) loading devices which persists in the continuum limit. We argue that both, the synchronization and the non-equivalence of the mechanical responses in hard and soft devices, have their origin in the dominance of long-range interactions. We then apply our minimal model to skeletal muscles where the power-stroke in acto-myosin crossbridges can be interpreted as passive folding. A quantitative analysis of the muscle model shows that the relative rigidity of myosin backbone provides the long-range interaction mechanism allowing the system to effectively synchronize the power-stroke in individual crossbridges even in the presence of thermal fluctuations. In view of the prototypical nature of the proposed model, our general conclusions pertain to a variety of other biological systems where elastic interactions are mediated by effective backbones.

M Caruel; J. -M Allain; L Truskinovsky

2015-01-07T23:59:59.000Z

302

The relationship between small learning communities  

E-Print Network [OSTI]

/vocational pathways. In the 1970s, schools progressed toward developing magnet programs, career academies, and mini-schools (Oxley, 2006). Charter schools became part of the high school evolution in the 1980s - 1990s, and are still strong advocates for small... traditional campus. Small Learning Communities Models and Strategies Sammon (2000) describes small learning communities by clustering them into six main models: career academies, houses, small learning community (SLC)/school- within-school, magnet schools...

Turnbo, Bobbie Jo

2009-05-15T23:59:59.000Z

303

Relativistic viscoelastic fluid mechanics  

E-Print Network [OSTI]

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 spacetime 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.

Masafumi Fukuma; Yuho Sakatani

2011-09-01T23:59:59.000Z

304

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

305

Lessons Learned Quarterly Report, September 1999  

Broader source: Energy.gov [DOE]

Welcome to the 20th Quarterly Report on lessons learned in the NEPA process. This issue includes a cumulative index for the past five years.

306

Immersive Learning Environments for Teaching Software Engineering  

E-Print Network [OSTI]

Cooper,R. Cutts,Q. Wang,C. Proceedings of the Third Workshiop on Teaching, Learning and Assessment of Database Systems

Cooper, R.; Cutts, Q.; Wang, C.; Proceedings of the Third Workshiop on Teaching, Learning and Assessment of Database Systems [More Details

307

Looking for project-based learning ...  

Energy Savers [EERE]

featuring a variety of energy related topics including wind, solar, geothermal, electric vehicles, biofuels, fuel cells and hydropower. Learn the fundamental concepts behind...

308

Lessons Learned Quarterly Report, June 2003  

Broader source: Energy.gov [DOE]

Welcome to the 35th quarterly report on lessons learned in the NEPA process. We are pleased to include in this issue three new mini-guidance articles.

309

Learning Curve - DOE Directives, Delegations, and Requirements  

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

This chapter discusses the development and application of the learning curve. g4301-1chp21.pdf -- PDF Document, 28 KB Writer: John Makepeace Subjects: Administration Management...

310

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

311

Learn More About Interconnections | Department of Energy  

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

About Interconnections Learn More About Interconnections EASTERN INTERCONNECTION North America is comprised of two major and three minor alternating current (AC) power grids or...

312

Regulation with anticipated learning about environmental damages  

E-Print Network [OSTI]

abatement costs and environmental damages, and a generalemissions. 2.2 Environmental damages and learning Let S t begas stocks and environmental damages. In some respects these

Karp, L; Zhang, J

2006-01-01T23:59:59.000Z

313

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

314

An Algorithm to Learn Read-Once Threshold Formulas, and some Generic Transformations between Learning Models  

E-Print Network [OSTI]

An Algorithm to Learn Read-Once Threshold Formulas, and some Generic Transformations between. Hancocky Siemens Corporate Research, Inc. 755 College Road East Princeton, NJ 08540 e-mail: hancock@learning.scr.siemens of generic transformations that can be used to convert an algorithm in one learning model into an algorithm

Eckmiller, Rolf

315

MACHINE LEARNING 1 Below are errata for the first and second printings of Machine Learning,  

E-Print Network [OSTI]

1 MACHINE LEARNING 1 Below are errata for the first and second printings of Machine Learning, Tom M Domingos, Olac Fuentes, Haym Hirsh, Ray Mooney, James Reggia, Roni Rosen­ feld, Stephen Scott, Nikunj Oza created for McGraw­Hill by Tom Mitchell JAN. 5, 1999 #12; 2 2 MACHINE LEARNING ... we expect h 0

Mitchell, Tom

316

A study of learning performance of e-learning materials design with knowledge maps  

E-Print Network [OSTI]

Information Security Project ING Information Security Project Microsoft e-learning Materials Project Microsoft e-learning Materials Project Knowledge MapsKnowledge Maps 66 Materials and Methods for Information-based e-learning materials 1616 Conclusion · Research topics elicited from projects. · Extended

Ouhyoung, Ming

317

Stage I Results Social Learning Strategies Tournament Social Learning Strategies Tournament  

E-Print Network [OSTI]

Stage I Results Social Learning Strategies Tournament 1 Social Learning Strategies Tournament This document provides a report on the first stage of analysis of submitted entries to the social learning, and the results for those strategies that did not progress to Stage II. Stage I details The simulations each

318

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

319

Learning from Monitoring & Evaluation a blueprint for an adaptive organisation  

E-Print Network [OSTI]

Learning from Monitoring & Evaluation a blueprint for an adaptive organisation Learning from Monitoring & Evaluation a blueprint for an adaptive organisation Jake Morris and Anna Lawrence Social & Economic Research Group, Forest Research Aim and structure Learning is an essential characteristic

320

Lessons Learned Quarterly Report Archive | Department of Energy  

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

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...

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

Spatial Generalization in Operant Learning: Lessons from Professional Basketball  

E-Print Network [OSTI]

Spatial Generalization in Operant Learning: Lessons from Professional Basketball Tal Neiman1: Neiman T, Loewenstein Y (2014) Spatial Generalization in Operant Learning: Lessons from Professional, Israel Abstract In operant learning, behaviors are reinforced or inhibited in response

322

Learning from Roman Seawater Concrete  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces and Interfaces Sample6, 2011 LawrenceE C H N I C A LMn4CaLearning from Roman

323

Learning from Roman Seawater Concrete  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces and Interfaces Sample6, 2011 LawrenceE C H N I C A LMn4CaLearning from

324

Learning from Roman Seawater Concrete  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces and Interfaces Sample6, 2011 LawrenceE C H N I C A LMn4CaLearning

325

Learning Center | Argonne National Laboratory  

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

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

326

Learning from Roman Seawater Concrete  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickrinformationPostdocs spaceLaser The SRS CommunityLearning from Roman

327

Learn Gapminder | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth's Heat JumpInc Place:Keystone CleanLaton,Learn Gapminder Jump to: navigation,

328

ENGINEERING MECHANICS SEMINARSENGINEERING MECHANICS SEMINARS BIO COMPOSITES FOR AVIATION  

E-Print Network [OSTI]

carbon composite general aviation aircraft); and Manager of Materials and Structures Research at Sikorsky temperature and bio material composite programs. In bio composite material programs Ron frequently worksENGINEERING MECHANICS SEMINARSENGINEERING MECHANICS SEMINARS BIO COMPOSITES FOR AVIATION Ron

Ponce, V. Miguel

329

Efficiency of stripping mechanisms  

E-Print Network [OSTI]

There are several physical processes to remove gas from galaxies in clusters, with subsequent starvation and star formation quenching: tidal interactions between galaxies, or tidal stripping from the cluster potential itself, interactions with the hot intra-cluster medium (ICM) through ram pressure, turbulent or viscous stripping, or also outflows from star formation of nuclear activity, We review the observational evidence for all processes, and numerical simulations of galaxies in clusters which support the respective mechanisms. This allows to compare their relative efficiencies, all along cluster formation.

F. Combes

2003-08-18T23:59:59.000Z

330

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

331

Metal Mechanisms | EMSL  

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

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

332

Mechanical Operations and Maintenance  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping the NanoscaleMechanical Behavior ofAPS ... Search Button

333

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

334

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

335

Social Game for Building Energy Efficiency:Utility Learning, Simulation, and Analysis  

E-Print Network [OSTI]

Efficiency: Utility Learning, Simulation, and Analysisthe utility learning problem as well as simulation of the

Konstantakopoulos, Ioannis C; Ratliff, Lillian J; Jin, Ming; Sastry, S. Shankar; Spanos, Costas J

2014-01-01T23:59:59.000Z

336

Optimized Learning with Bounded Error for Feedforward Neural Networks  

E-Print Network [OSTI]

Optimized Learning with Bounded Error for Feedforward Neural Networks A. Alessandri, M. Sanguineti-based learnings. A. Alessandri is with the Naval Automatio

Maggiore, Manfredi

337

Lessons Learned from Net Zero Energy Assessments and Renewable...  

Office of Environmental Management (EM)

Lessons Learned from Net Zero Energy Assessments and Renewable Energy Projects at Military Installations Lessons Learned from Net Zero Energy Assessments and Renewable Energy...

338

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

339

In Silico Identification Software (ISIS): A Machine Learning...  

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

Silico Identification Software (ISIS): A Machine Learning Approach to Tandem Mass Spectral Identification of Lipids. In Silico Identification Software (ISIS): A Machine Learning...

340

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

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

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

342

Learning-by-Doing in Solar Photovoltaic Installations  

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

New Energy Finance 3 Learning-by-doing (LBD) With greater cumulative experience, productivity improves, lowering costs. Evidence of both "internal" learning (experiential...

343

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

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

344

Contractor Work Planning and Control Lessons Learned from DOE...  

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

Work Planning and Control Lessons Learned from DOE and International Projects Contractor Work Planning and Control Lessons Learned from DOE and International Projects Addthis...

345

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...

346

Various efforts within the Livestock & Poultry Environmental Learning  

E-Print Network [OSTI]

Summary ·Various efforts within the Livestock & Poultry Environmental Learning Center (LPELC) came, C. Powers, J. Harrison, S. Mukhtar, and M. Risse Livestock & Poultry Environmental Learning Center

Nebraska-Lincoln, University of

347

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

Energy Savers [EERE]

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

348

Learning Motion Style Synthesis from Perceptual Observations  

E-Print Network [OSTI]

that the learned model can apply a variety of motion styles to pre-recorded motion sequences and it can extrapolate models that are unable to fully capture the subtleties and complexities of human movement based on learned parametric models. The aim is to maintain the animated preci- sion of motion capture

Bregler, Christoph

349

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

350

Learning Lessons to Promote Certification and  

E-Print Network [OSTI]

Financing and Investment in Companies Engaged in Destructive or Illegal Logging in Indonesia 14 2Learning Lessons to Promote Certification and Combat Illegal Logging in Indonesia September 2003;Learning Lessons to Promote Certification and Combat Illegal Logging in Indonesia September 2003 to June

351

CS229 Lecture notes Generative Learning algorithms  

E-Print Network [OSTI]

analysis (GDA). In this model, we'll assume that p(x|y) is distributed according to a multivariate normal discriminant analysis The first generative learning algorithm that we'll look at is Gaussian discrim- inant. In these notes, we'll talk about a different type of learning algorithm. Consider a classification problem

Kosecka, Jana

352

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.

353

Lessons Learned Quarterly Report, June 2005  

Broader source: Energy.gov [DOE]

Welcome to the 43rd quarterly report on lessons learned in the NEPA process. In this issue we take a look at our hard-working NEPA Compliance Of?cers, who share bits of wisdom (and a little humor) gained from their lessons learned implementing NEPA. Countless thanks to all NCOs for their dedication, ?exibility, and perseverance.

354

Lessons Learned Quarterly Report, March 2007  

Broader source: Energy.gov [DOE]

Welcome to the 50th quarterly report on lessons learned in the NEPA process. The Of?ce of NEPA Policy and Compliance launched the Lessons Learned program in December 1994 to support continuous improvement in the NEPA process. The Of?ce began by presenting cost and time metrics and What Worked and What Didnt Work. Other features were soon introduced.

355

A Reduction from Apprenticeship Learning to Classification  

E-Print Network [OSTI]

, if the learned classifier has error rate , the difference between the value of the apprentice's policy, called the apprentice, is able to observe another agent, called the expert, behaving in a Markov Decision Process (MDP). The goal of the apprentice is to learn a policy that is at least as good as the expert

Schapire, Robert

356

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

357

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

358

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

359

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

360

Statistical Mechanics with focus on  

E-Print Network [OSTI]

Statistical Mechanics with focus on Liquids, Solutions and Colloidal Systems Course contents A. Foundations of statistical mechanics Classical dynamics ­ Hamilton's and Liouville's equations The concept statistics. Ideal fermion or boson gases. ­ Bose-Einstein condensation. The relationship between

Johannesson, Henrik

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.


361

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

362

A Roadmap to the Future of Learning  

E-Print Network [OSTI]

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

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

363

E-Print Network 3.0 - active learning approach Sample Search...  

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

for: active learning approach Page: << < 1 2 3 4 5 > >> 1 Active Learning 10-701, Machine Learning, Spring 2011 Summary: Active Learning Yi Zhang 10-701, Machine Learning,...

364

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

365

Lecture notes Introductory fluid mechanics  

E-Print Network [OSTI]

Lecture notes Introductory fluid mechanics Simon J.A. Malham Simon J.A. Malham (22nd February 2013 of fluid mechanics and along the way see lots of interesting applications. 2 Fluid flow 2.1 Flow A material essential to all modern car braking mechanisms. Fluids can be further subcatergorized. There are ideal

Malham, Simon J.A.

366

Lecture notes Introductory fluid mechanics  

E-Print Network [OSTI]

Lecture notes Introductory fluid mechanics Simon J.A. Malham Simon J.A. Malham (17th March 2014 of fluid mechanics and along the way see lots of interesting applications. 2 Fluid flow, the Continuum are generally incompressible--a feature essential to all modern car braking mechanisms. Fluids can be further

Malham, Simon J.A.

367

Fluid Mechanics 25 March 2009  

E-Print Network [OSTI]

Journal of Fluid Mechanics 25 March 2009 VOLUME 623 Journal of Fluid Mechanics 25 Mar. 2009 VOLUME 623 #12;J. Fluid Mech. (2009), vol. 623, pp. 75­84. c 2009 Cambridge University Press doi:10.1017/SLCS and the capture region enable analysis of the effect of several physiological and mechanical parameters

Dabiri, John O.

368

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

369

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

370

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

371

Mechanics of Isolated Horizons  

E-Print Network [OSTI]

A set of boundary conditions defining an undistorted, non-rotating isolated horizon are specified in general relativity. A space-time representing a black hole which is itself in equilibrium but whose exterior contains radiation admits such a horizon. However, the definition is applicable in a more general context, such as cosmological horizons. Physically motivated, (quasi-)local definitions of the mass and surface gravity of an isolated horizon are introduced and their properties analyzed. Although their definitions do not refer to infinity, these quantities assume their standard values in the static black hole solutions. Finally, using these definitions, the zeroth and first laws of black hole mechanics are established for isolated horizons.

Abhay Ashtekar; Christopher Beetle; Stephen Fairhurst

1999-11-04T23:59:59.000Z

372

Microfabricated therapeutic actuator mechanisms  

DOE Patents [OSTI]

Electromechanical microstructures (microgrippers), either integrated circuit (IC) silicon-based or precision machined, to extend and improve the application of catheter-based interventional therapies for the repair of aneurysms in the brain or other interventional clinical therapies. These micromechanisms can be specifically applied to release platinum coils or other materials into bulging portions of the blood vessels also known as aneurysms. The ``micro`` size of the release mechanism is necessary since the brain vessels are the smallest in the body. Through a catheter more than one meter long, the micromechanism located at one end of the catheter can be manipulated from the other end thereof. The microgripper (micromechanism) of the invention will also find applications in non-medical areas where a remotely actuated microgripper or similar actuator would be useful or where micro-assembling is needed. 22 figs.

Northrup, M.A.; Ciarlo, D.R.; Lee, A.P.; Krulevitch, P.A.

1997-07-08T23:59:59.000Z

373

Microfabricated therapeutic actuator mechanisms  

DOE Patents [OSTI]

Electromechanical microstructures (microgrippers), either integrated circuit (IC) silicon-based or precision machined, to extend and improve the application of catheter-based interventional therapies for the repair of aneurysms in the brain or other interventional clinical therapies. These micromechanisms can be specifically applied to release platinum coils or other materials into bulging portions of the blood vessels also known as aneurysms. The "micro" size of the release mechanism is necessary since the brain vessels are the smallest in the body. Through a catheter more than one meter long, the micromechanism located at one end of the catheter can be manipulated from the other end thereof. The microgripper (micromechanism) of the invention will also find applications in non-medical areas where a remotely actuated microgripper or similar actuator would be useful or where micro-assembling is needed.

Northrup, Milton A. (Berkeley, CA); Ciarlo, Dino R. (Livermore, CA); Lee, Abraham P. (Walnut Creek, CA); Krulevitch, Peter A. (Los Altos, CA)

1997-01-01T23:59:59.000Z

374

PEBBLES Mechanics Simulation Speedup  

SciTech Connect (OSTI)

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

375

Vehicle rear suspension mechanism  

SciTech Connect (OSTI)

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

376

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

377

Mechanisms of chemical phototoxicity  

SciTech Connect (OSTI)

Psoralens in combination with ultraviolet light (PUVA) are phototoxic and potent modulators of epidermal cell growth and differentiation. Using an in vitro cell culture model, the effects of psoralens and UVA light on the growth of epidermal cells were investigated. It was found that psoralen and UVA light interact synergistically to inhibit the growth of cells in culture. This synergism was also observed in the ability of PUVA to inhibit DNA synthesis, decrease cell survival, cause mutations and form psoralen-DNA adducts. Using a cell culture model for the differentiation of melanocytes, PUVA was also found to be a potent inducer of melanogenesis as evidenced by its ability to increase cellular tyrosinase, the enzyme responsible for melanin biosynthesis. Results from these studies indicate that PUVA can induce dramatic alterations in the growth rate and differentiation state of cells at dosage levels which are associated with minimal DNA damage. These findings are in conflict with the general assumption that the biological effects of psoralens and UVA light are associated with their ability to bind covalently to and cross-link DNA. Therefore, the author investigated the possibility that sites of action, other than DNA, are involved in the mechanism(s) by which photoactivated psoralens modulate epidermal cell growth and differentiation. The author's laboratory has found that mammalian epidermal cells contain specific, saturable, high-affinity binding sites for the psoralens that are distinct from DNA. This receptor for the psoralens, photolabeled with ({sup 3}H)-8-methoxysporalen, was visualized following sodium dodecyl sulfatepolyacrylamide gel electrophoresis. The psoralen receptor is shown to be a 22,000 dalton protein located in nonnuclear fractions of cell extracts.

Yurkow, E.J.

1989-01-01T23:59:59.000Z

378

Montana State University 1 Mechanical Engineering  

E-Print Network [OSTI]

mechanics, materials science, manufacturing processes, thermodynamics, heat transfer, fluid mechanicsMontana State University 1 Mechanical Engineering The specific mission of the undergraduate Mechanical Engineering (ME) program is to prepare students for successful mechanical engineering

Maxwell, Bruce D.

379

Multimedia-Video for Learning  

E-Print Network [OSTI]

Multimedia engages an audience through a combination of text, audio, still images, animation, video, or interactivity-based content formats. Along this vein, free platforms have been seen to allow budding enthusiasts to create multimedia content. For example, Google sites (Wee, 2012b) offer creative opportunities in website development that enable text insertion, still image, video and animation embedding, along with audio and hyper-interactive links to simulations (Christian & Esquembre, 2012; Wee, 2013; Wee, Goh, & Chew, 2013; Wee, Goh, & Lim, 2013; Wee, Lee, Chew, Wong, & Tan, 2015). This chapter focuses on the video aspect of multimedia, which can be positioned as a component to any effective self-paced on-line lesson that would be available anytime, anywhere via computer or mobile devices. The multimedia video approach aims to help users overcome barriers in creating engaging, effective and meaningful content (Barron & Darling-Hammond, 2008) for teaching and learning in an online envi...

Chua, Kah Hean; Wee, Loo Kang; Tan, Ching

2015-01-01T23:59:59.000Z

380

Defect Classification Using Machine Learning  

SciTech Connect (OSTI)

Laser-induced damage growth on the surface of fused silica optics has been extensively studied and has been found to depend on a number of factors including fluence and the surface on which the damage site resides. It has been demonstrated that damage sites as small as a few tens of microns can be detected and tracked on optics installed a fusion-class laser, however, determining the surface of an optic on which a damage site resides in situ can be a significant challenge. In this work demonstrate that a machine-learning algorithm can successfully predict the surface location of the damage site using an expanded set of characteristics for each damage site, some of which are not historically associated with growth rate.

Carr, A; Kegelmeyer, L; Liao, Z M; Abdulla, G; Cross, D; Kegelmeyer, W P; Raviza, F; Carr, C W

2008-10-24T23:59:59.000Z

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.


381

Investigation of learning and experience curves  

SciTech Connect (OSTI)

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

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

1980-04-01T23:59:59.000Z

382

Learned Human-in-the-Loop Decision Making  

E-Print Network [OSTI]

that it was human. - Alan Turing Introduction Learning is agreat frequency. - Alan Turing Introduction The Generalized

Basso, Brandon

2012-01-01T23:59:59.000Z

383

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

384

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, but not required) Course: Learn to Swim Level 5: Stroke Refinement #12;

Hemmers, Oliver

385

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

386

Mixed Reality Environment for Web-Based Laboratory Interactive Learning  

E-Print Network [OSTI]

1(8) Mixed Reality Environment for Web-Based Laboratory Interactive Learning Ashraf Saleem1 , Kasim learning, Mixed reality environment, Laboratory learning, Fuzzy logic, Learner modeling. Abstract environment for e-learning of applied sciences by incorporating hal-00197209,version1-14Dec2007 Author

387

A Learning Apprentice For Browsing Robert C. Holte Chris Drummond  

E-Print Network [OSTI]

A Learning Apprentice For Browsing Robert C. Holte Chris Drummond Computer Science Department of browsing. The agent is a learning apprentice: it monitors the user's normal browsing actions and learns task for learning apprentice research. 1 THE BROWSING TASK "Browsing" is the searching of a computer

Holte, Robert

388

Performance and Efficiency: Recent Advances in Supervised Learning  

E-Print Network [OSTI]

: performance and efficiency. Performance addresses the generalization capability of a learning machine at improving the efficiency and performance of a learning machine. In order to be comprehensive, a neural learning machines. This, however, is not the focus here. In supervised learning, performance addresses

Ji, Chuanyi

389

Digital Technology For Conviviality 99 Lessons Learned 5555  

E-Print Network [OSTI]

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

390

Learning, Memory, and Education Lessons for the Classroom  

E-Print Network [OSTI]

Learning, Memory, and Education Lessons for the Classroom Michael A. Yassa, M.A. Ph.D. Candidate memory? How can we optimize individual learning? How do lessons from memory apply to the classroom? Brain individual learning? How do lessons from memory apply to the classroom? Brain-based learning: fact or fiction

Rose, Michael R.

391

Using simulation to model and understand group learning Maartje Spoelstra  

E-Print Network [OSTI]

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

Sklar, Elizabeth

392

Discussion Papers in Individual and Group Learning in Crisis Simulations  

E-Print Network [OSTI]

Discussion Papers in Management Individual and Group Learning in Crisis Simulations Edward-5 January 2002 ISSN 1356-3548 #12;2 Individual and Group Learning in Crisis Simulations Edward Borodzicz1 learning. The issue is raised that simulation exercises may concentrate learning outcomes for exercise

393

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.

394

Quantum-enhanced deliberation of learning agents using trapped ions  

E-Print Network [OSTI]

A scheme that successfully employs quantum mechanics in the design of autonomous learning agents has recently been reported in the context of the projective simulation (PS) model for artificial intelligence. In that approach, the key feature of a PS agent, a specific type of memory which is explored via random walks, was shown to be amenable to quantization. In particular, classical random walks were substituted by Szegedy-type quantum walks, allowing for a speed-up. In this work we propose how such classical and quantum agents can be implemented in systems of trapped ions. We employ a generic construction by which the classical agents are `upgraded' to their quantum counterparts by nested coherent controlization, and we outline how this construction can be realized in ion traps. Our results provide a flexible modular architecture for the design of PS agents. Furthermore, we present numerical simulations of simple PS agents which analyze the robustness of our proposal under certain noise models.

Vedran Dunjko; Nicolai Friis; Hans J. Briegel

2015-01-31T23:59:59.000Z

395

Implementing US Department of Energy lessons learned programs. Volume 2  

SciTech Connect (OSTI)

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

396

Michael Gutmann University of Helsinki ICANN2009: Learning Features by Contrasting Natural Images with Noise -p. 1/17 Learning Features by Contrasting Natural  

E-Print Network [OSTI]

Contrastive feature learning Simulations Michael Gutmann University of Helsinki ICANN2009: Learning Features. image vs. noise q Classifier Contrastive feature learning Simulations Michael Gutmann University;Introduction q Preliminaries q Nat. image vs. noise q Classifier Contrastive feature learning Simulations

Gutmann, Michael

397

Developmental dyslexia and implicit learning in childhood: evidence using the artificial grammar learning paradigm  

E-Print Network [OSTI]

This thesis explores implicit learning in children with developmental dyslexia. While specific cognitive abilities such as phonology and memory have been extensively explored in developmental dyslexia more global, ...

Pavlidou, Elpis V.

2010-07-02T23:59:59.000Z

398

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

399

A review of the chemical and physical mechanisms of the storage stability of fast pyrolysis bio-oils  

SciTech Connect (OSTI)

Understanding the fundamental chemical and physical aging mechanisms is necessary to learn how to produce a bio-oil that is more stable during shipping and storage. This review provides a basis for this understanding and identifies possible future research paths to produce bio-oils with better storage stability.

Diebold, J.P.

1999-01-27T23:59:59.000Z

400

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

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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

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

402

Organizational learning at nuclear power plants  

E-Print Network [OSTI]

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

Carroll, John S.

1991-01-01T23:59:59.000Z

403

National Hydrogen Learning Demonstration Status (Presentation)  

SciTech Connect (OSTI)

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

404

Sustainable Development: Case Studies & Lessons Learned  

E-Print Network [OSTI]

Sustainable Development: Case Studies & Lessons Learned Prepared For City of Rosemount UMore Development LLC PA 8081 Capstone: Sustainability Planning Humphrey School of Public Affairs University studies that analyze how local and national developments have either successfully implemented sustainable

Netoff, Theoden

405

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

406

Learning Curve Management in Educational Programming Environments  

E-Print Network [OSTI]

Learning Curve Management in Educational Programming Environments Benjamin H. Brinckerhoff Computer programmers are best served by integrated development environments that adapt to their growing sophistication programming environments. We provide pedagogical justification for each goal, describe possible supporting

Goldman, Kenneth J.

407

Lessons Learned Quarterly Report, September 2001  

Broader source: Energy.gov [DOE]

Welcome to the 28th quarterly report on lessons learned in the NEPA process. This completes our seventh year of providing performance metrics, news, and guidance to the DOE NEPA Community. Please note the cumulative index in this issue.

408

Lessons Learned Quarterly Report, September 2002  

Broader source: Energy.gov [DOE]

Welcome to the 32nd quarterly report on lessons learned in the NEPA process. Much of this issue is devoted to reporting on the July DOE NEPA Community Meeting. Also featured is new NEPA-related guidance.

409

Lessons Learned Quarterly Report, September 2000  

Broader source: Energy.gov [DOE]

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.

410

Online Learning of Non-stationary Sequences  

E-Print Network [OSTI]

We consider an online learning scenario in which the learner can make predictions on the basis of a fixed set of experts. The performance of each expert may change over time in a manner unknown to the learner. We formulate ...

Monteleoni, Claire

2003-06-12T23:59:59.000Z

411

Aquatic Species Program (ASP): Lessons Learned  

SciTech Connect (OSTI)

Presentation on lessons learned from the U.S. Department of Energy?s Aquatic Species Program 1978-1996 microalgae R&D activities, presented at the 2008 AFOSR Workshop in Washington, D.C.

Jarvis, E. E.

2008-02-01T23:59:59.000Z

412

Lessons Learned Quarterly Report, September 2008  

Broader source: Energy.gov [DOE]

Welcome to the 56th quarterly report on lessons learned in the NEPA process. We are pleased to feature EPA s web-based tool for NEPA practitioners, as well as the new DOE NEPA Website.

413

Lessons Learned Quarterly Report, September 2007  

Broader source: Energy.gov [DOE]

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.

414

Lessons Learned Quarterly Report, March 1995  

Broader source: Energy.gov [DOE]

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

415

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

416

Bayesian nonparametric reward learning from demonstration  

E-Print Network [OSTI]

Learning from demonstration provides an attractive solution to the problem of teaching autonomous systems how to perform complex tasks. Demonstration opens autonomy development to non-experts and is an intuitive means of ...

Michini, Bernard (Bernard J.)

2013-01-01T23:59:59.000Z

417

Lessons Learned Quarterly Report, March 2003  

Broader source: Energy.gov [DOE]

Welcome to the 34th quarterly report on lessons learned in the NEPA process. We are pleased to feature the synergy between NEPA and the new DOE Order 450.1, Environmental Protection Program.

418

Power, status, and learning in organizations  

E-Print Network [OSTI]

This paper reviews the scholarly literature on the effects of social hierarchydifferences in power and status among organizational actorson collective learning in organizations and groups. We begin with the observation ...

Bunderson, J. Stuart

419

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

420

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

2015-03-30T23:59:59.000Z

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.


421

The role of BDNF in spinal learning  

E-Print Network [OSTI]

. Instrumental training has been shown to provide a number of beneficial effects. The instrumental training regimen produces a lasting effect that enables learning when subjects are later tested with a more difficult response criterion. Similarly, instrumental...

Huie, John Russell

2009-05-15T23:59:59.000Z

422

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.

423

Toward an Integrated Online Learning Environment  

E-Print Network [OSTI]

We are building in LON-CAPA an integrated learning environment that will enable the development, dissemination and evaluation of PER-based material. This environment features a collection of multi-level research-based ...

Teodorescu, Raluca

424

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

425

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

426

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

427

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

428

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

429

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

430

Romanian sources on applied mechanics  

SciTech Connect (OSTI)

This note provides a list of journals and recent books published in Romania covering topics in applied mechanics, with information on bow to obtain them.

Popescu, M.E. [Civil Engineering Inst., Bucharest (Romania)

1992-06-01T23:59:59.000Z

431

Mechanical Behavior of Indium Nanostructures  

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

432

COMPLEX BIOLOGICAL MECHANISMS: CYCLIC, OSCILLATORY,  

E-Print Network [OSTI]

COMPLEX BIOLOGICAL MECHANISMS: CYCLIC, OSCILLATORY, AND AUTONOMOUS William Bechtel and Adele- nomological framework and its focus on laws as the primary explanatory vehicle; for them, a scientific

Bechtel, William

433

Shock-induced enhancement of learning  

E-Print Network [OSTI]

Subject: Psychology SHOCK INDUCFD ENHANCEMENT OF LEARNING A Thesis by ADAM RICHARD FERGUSON Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Approved... as to style and content by: I ames Grau ( air of Committee) Mary Meagher (Member) Ra ond Battalio (Member) u3 Paul Wellman (Head of Department) December 2000 Major Subject: Psychology ABSTRACT Shock-Induced Enhancement of Learning. (December...

Ferguson, Adam Richard

2000-01-01T23:59:59.000Z

434

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

435

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

436

The equivalence principle in classical mechanics and quantum mechanics  

E-Print Network [OSTI]

We discuss our understanding of the equivalence principle in both classical mechanics and quantum mechanics. We show that not only does the equivalence principle hold for the trajectories of quantum particles in a background gravitational field, but also that it is only because of this that the equivalence principle is even to be expected to hold for classical particles at all.

Philip D. Mannheim

2000-04-03T23:59:59.000Z

437

Scaffolding and Enhancing Learners Self-Regulated Learning: Testing the Effects of Online Video-Based Interactive Learning Environment on Learning Outcomes  

E-Print Network [OSTI]

engaged with the content. Using an experimental design, this study investigates the effects of a newly designed online video-based interactive learning environment with embedded supports for self-regulation strategies on students learning behaviors...

Delen, Erhan

2013-07-11T23:59:59.000Z

438

Mechanical Engineering Professional Electives Policy  

E-Print Network [OSTI]

Mechanical Engineering Professional Electives Policy 3/22/11 2004-2006 & 2006-2008 Catalogs Management (d) F EMEC 403 (ME 411) CAE IV: Design Integration S ETME 430 (ME 435) Fluid Power Systems Design (d) Must successfully complete EMEC 445 before taking EELE 321 S EGEN 415 (EM 415) Advanced Mechanics

Dyer, Bill

439

E-Print Network 3.0 - avoidance learning Sample Search Results  

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

Strategic learning Summary Collaborative and Strategic... Multiagent Learning (Machine Learning in the Agents Group) Michael Rovatsos Centre for Intelligent Systems... and...

440

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

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

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

E-Print Network 3.0 - algorithmic learning theory Sample Search...  

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

for: algorithmic learning theory Page: << < 1 2 3 4 5 > >> 1 Supervised learning for computer vision: Theory and algorithms -Introduction Summary: Supervised learning for computer...

442

Smart Parking Linked to Transit: Lessons Learned from the San Francisco Bay Area Field Test  

E-Print Network [OSTI]

LINKED TO TRANSIT: LESSONS LEARNED FROM THE SAN FRANCISCOmonth on average. Key lessons learned include that it wouldof the field test, and lessons learned. Key Words: Smart

Shaheen, Susan; Kemmerer, Charlene

2007-01-01T23:59:59.000Z

443

Reasoning about Probabilistic Phenomena: Lessons Learned and Applied in Software Design  

E-Print Network [OSTI]

Probabilistic Phenomena: Lessons Learned and Applied inand empirical data. The lessons learned from students worksome of the key lessons learned within each of these

Lee, Hollylynne S; Lee, J. Todd

2009-01-01T23:59:59.000Z

444

Word learning in context : the role of lifetime language input and sentential context  

E-Print Network [OSTI]

with human word?learning simulations on adults thatHumansimulationsofvocabulary learning. Cognition,73(these simulations were exploring object learning

Borovsky, Arielle

2008-01-01T23:59:59.000Z

445

Independent Interactive Inquiry-Based Learning Modules Using Audio-Visual Instruction In Statistics  

E-Print Network [OSTI]

Discovery Learning with Computer Simulations of ConceptualLearning Abstract Statistics Concepts Using Simulation. ,"Based Simulation: Finding the Right Mix," Learning and

McDaniel, Scott N.; Green, Lisa

2012-01-01T23:59:59.000Z

446

Language input and semantic categories: a relation between cognition and early word learning  

E-Print Network [OSTI]

The simulations demonstrate that a single learning mechanismour simulations, should also relate to learning in children.simulation also supports the hypothesis that better noun learning

Borovsky, Arielle; Elman, Jeff

2006-01-01T23:59:59.000Z

447

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.

448

UNDERGRADUATE STUDENT MANUAL Department of Mechanical Engineering  

E-Print Network [OSTI]

engineering (for example, computer-aided-design and manufacturing (CAD/CAM), energy engineering, mechanical1 UNDERGRADUATE STUDENT MANUAL Department of Mechanical Engineering and Applied Mechanics Engineering and Applied Mechanics? ........................................................................3

Plotkin, Joshua B.

449

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

450

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

451

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

452

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

453

Mechanical Engineering Department "The Lindbergh Lectures"  

E-Print Network [OSTI]

Mechanical Engineering Department "The Lindbergh Lectures" Thursday, November 14th, 2013 12:00 ­ 12:50 PM Room 1106 Mechanical Engineering Building MECHANICAL MICRO-MANUFACTURING RESEARCH @ CARNEGIE MELLON UNIVERSITY BURAK OZDOGANLAR, CARNEGIE MELLON UNIVERSITY Abstract: Mechanical

Wisconsin at Madison, University of

454

Mechanical and Manufacturing Engineering Petroleum Engineering Minor  

E-Print Network [OSTI]

of Chemical and Petroleum Engineering for their petroleum engineering minor. As well, mechanical engineeringMechanical and Manufacturing Engineering Petroleum Engineering Minor The Department of Mechanical and Manufacturing Engineering offers a minor in petroleum engineering within the mechanical engineering major

Calgary, University of

455

The Economics of Learning Models: A Self-tuning Theory of Learning in Games  

E-Print Network [OSTI]

The Economics of Learning Models: A Self-tuning Theory of Learning in Games Teck H. Ho, Colin F correspondence to the first author. Thanks to participants in the 2000 Southern Economics Association meetings Workshop, the Nobel Symposium on Behavioral and Experimental Economics (December 2001) and C. M´onica Capra

Greer, Julia R.

456

Approaches to Biology Teaching and Learning Making Biology Learning Relevant to Students: Integrating  

E-Print Network [OSTI]

Feature Approaches to Biology Teaching and Learning Making Biology Learning Relevant to Students: Integrating People, History, and Context into College Biology Teaching Katayoun Chamany,*Deborah Allen College, The New School for Liberal Arts, New York, NY 10011; Department of Biological Sciences

457

An Algorithm to Learn ReadOnce Threshold Formulas, and some Generic Transformations between Learning Models  

E-Print Network [OSTI]

An Algorithm to Learn Read­Once Threshold Formulas, and some Generic Transformations between@cpsc.ucalgary.ca Thomas R. Hancock y Siemens Corporate Research, Inc. 755 College Road East Princeton, NJ 08540 e­mail: hancock@learning.scr.siemens.com Lisa Hellerstein z Department of EECS Northwestern University 2145

Eckmiller, Rolf

458

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

459

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

460

Knowledge economy, Learning society and Lifelong Learning A review of the French literature  

E-Print Network [OSTI]

1 Knowledge economy, Learning society and Lifelong Learning A review of the French literature savoir" or more often "économie de la connaissance" (knowledge economy-KE-). Similar difficulties arise economy (or society) and the initial and further education systems. But it also could explain why some

Paris-Sud XI, Université de

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

Bayesian Learning of unobservable output 1 Bayesian Learning of unobservable output  

E-Print Network [OSTI]

Bayesian Learning of unobservable output 1 Bayesian Learning of unobservable output aggregating the consistency of our method and illustrate its efficiency using simulations. Although up to our knowledge there are no similar algorithms for unobservable output, we compared in our simulations to supervised approaches

Provence Aix-Marseille I, Universit de

462

Learning to Export: Building farmers' capabilities through partnerships in Kenya LEARNING TO EXPORT  

E-Print Network [OSTI]

Learning to Export: Building farmers' capabilities through partnerships in Kenya Bolo, M.O LEARNING TO EXPORT: BUILDING FARMERS' CAPABILITIES THROUGH PARTNERSHIPS IN KENYA'S FLOWER INDUSTRY Maurice Ochieng in volume, value and acreage of cut flowers in Kenya ­ largely from large scale growers. In order to improve

Paris-Sud XI, Université de

463

Mechanical Characterization of Fuel Injector Piezoactuators and...  

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

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

464

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

E-Print Network [OSTI]

skills in the areas of mechanics, thermodynamics, fluid mechanics, heat transfer, materials and automatic including control of turbulence, emerging fuel cell technologies, computational fluid mechanics, ground20 Aerospace and Mechanical Engineers design and build unique, complex mechanical, optical

Rohs, Remo

465

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

E-Print Network [OSTI]

skills in the areas of mechanics, thermodynamics, fluid mechanics, heat transfer, materials and automatic including control of turbulence, emerging fuel cell technologies, computational fluid mechanics, ground20 Aerospace and Mechanical Engineers design and build unique, complex mechanical, optical

Rohs, Remo

466

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

E-Print Network [OSTI]

of mechanics, thermodynamics, fluid mechanics, heat transfer, materials and automatic controls. Our graduates including control of turbulence, emerging fuel cell technologies, computational fluid mechanics, ground20 Aerospace and Mechanical Engineers design and build unique, complex mechanical

Rohs, Remo

467

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

468

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

469

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

470

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

471

Qualitative insights on fundamental mechanics  

E-Print Network [OSTI]

The gap between classical mechanics and quantum mechanics has an important interpretive implication: the Universe must have an irreducible fundamental level, which determines the properties of matter at higher levels of organization. We show that the main parameters of any fundamental model must be theory-independent. They cannot be predicted, because they cannot have internal causes. However, it is possible to describe them in the language of classical mechanics. We invoke philosophical reasons in favor of a specific model, which treats particles as sources of real waves. Experimental considerations for gravitational, electromagnetic, and quantum phenomena are outlined.

G. N. Mardari

2006-11-10T23:59:59.000Z

472

Phase space quantum mechanics - Direct  

SciTech Connect (OSTI)

Conventional approach to quantum mechanics in phase space (q,p), is to take the operator based quantum mechanics of Schroedinger, or an equivalent, and assign a c-number function in phase space to it. We propose to begin with a higher level of abstraction, in which the independence and the symmetric role of q and p is maintained throughout, and at once arrive at phase space state functions. Upon reduction to the q- or p-space the proposed formalism gives the conventional quantum mechanics, however, with a definite rule for ordering of factors of noncommuting observables. Further conceptual and practical merits of the formalism are demonstrated throughout the text.

Nasiri, S.; Sobouti, Y.; Taati, F. [Institute for Advanced Studies in Basic Sciences, Zanjan, 45195-1159 (Iran, Islamic Republic of) and Department of Physics, Zanjan University, Zanjan (Iran); Institute for Advanced Studies in Basic Sciences, Zanjan, 45195-1159 (Iran, Islamic Republic of); Institute for Advanced Studies in Basic Sciences, Zanjan, 45195-1159 (Iran, Islamic Republic of) and Department of Physics, University of Kurdistan, D-78457 Sanadaj (Iran)

2006-09-15T23:59:59.000Z

473

Mechanical considerations and design skills.  

SciTech Connect (OSTI)

The purpose of the report is to provide experienced-based insights into design processes that will benefit designers beginning their employment at Sandia National Laboratories or those assuming new design responsibilities. The main purpose of this document is to provide engineers with the practical aspects of system design. The material discussed here may not be new to some readers, but some of it was to me. Transforming an idea to a design to solve a problem is a skill, and skills are similar to history lessons. We gain these skills from experience, and many of us have not been fortunate enough to grow in an environment that provided the skills that we now need. I was fortunate to grow up on a farm where we had to learn how to maintain and operate several different kinds of engines and machines. If you are like me, my formal experience is partially based upon the two universities from which I graduated, where few practical applications of the technologies were taught. What was taught was mainly theoretical, and few instructors had practical experience to offer the students. I understand this, as students have their hands full just to learn the theoretical. The practical part was mainly left up to 'on the job experience'. However, I believe it is better to learn the practical applications early and apply them quickly 'on the job'. System design engineers need to know several technical things, both in and out of their field of expertise. An engineer is not expected to know everything, but he should know when to ask an expert for assistance. This 'expert' can be in any field, whether it is in analyses, drafting, machining, material properties, testing, etc. The best expert is a person who has practical experience in the area of needed information, and consulting with that individual can be the best and quickest way for one to learn. If the information provided here can improve your design skills and save one design from having a problem, save cost of development, or reduce difficulty in manufacturing, then my writing effort will have been worthwhile. It is also my hope that you will freely provide others with design information that you have found beneficial to the less-experienced engineers. The result will be that as a whole, the designs will improve, and the development time will be shortened from start of the design to full system operation or deployment.

Alvis, Robert L.

2008-03-01T23:59:59.000Z

474

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

475

Mechanism design with approximate types  

E-Print Network [OSTI]

In mechanism design, we replace the strong assumption that each player knows his own payoff type exactly with the more realistic assumption that he knows it only approximately: each player i only knows that his true type ...

Zhu, Zeyuan Allen

2012-01-01T23:59:59.000Z

476

Renewable Auction Mechanism (RAM) (California)  

Broader source: Energy.gov [DOE]

The Renewable Auction Mechanism (RAM), approved by the California Public Utilities Commission (CPUC) in December 2010, is expected to result in 1,299 megawatts (MW) of new distributed generation...

477

The Newton Wonder in Mechanics  

E-Print Network [OSTI]

Application of Newton's ideas from "Principia" gives many new results in mechanics. Here we explore the question ``What form of extra force will maintain the magnitude of a vector constant of the motion while changing its direction?''

Donald Lynden-Bell

2000-07-11T23:59:59.000Z

478

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

479

Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving  

E-Print Network [OSTI]

Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving Nada paper to the special issue on Data Mining Lessons Learned presents lessons from data mining applications. Keywords: data mining, machine learning, scientific discovery, lessons learned, applications, collaborative

Langley, Pat

480

Grant Title: MACARTHUR FOUNDATION AND HASTAC -DIGITAL MEDIA AND LEARNING COMPETITION  

E-Print Network [OSTI]

Grant Title: MACARTHUR FOUNDATION AND HASTAC - DIGITAL MEDIA AND LEARNING COMPETITION Funding of the Digital Media and Learning Competition. Today, young people are learning, socializing, and participating Digital Media and Learning Competition challenges designers, entrepreneurs, practitioners, researchers

Farritor, Shane

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.


481

Lessons learned on the UMTRA Project  

SciTech Connect (OSTI)

This report has been compiled as part of the Technical Assistance Contractor's (TAC's) continuing efforts to improve the quality of its product to the US Department of Energy (DOE), and to reduce the costswhile maintaining a standard of excellence on the Uranium Mill Tailings Remedial Action (UMTRA) Project. The report documents the lessons learned and the steps taken to benefit the project as a result. This study has multiple objectives, which fall under the following hierarchy: To examine and evaluate past successes and mistakes. To provide a record of lessons learned for the benefit and orientation of future staffmembers. To identify shortcomings of, and desired improvements to, current UMTRA Project practices and procedures. To establish a means for the future review and dissemination of lessons learned.

Not Available

1991-02-01T23:59:59.000Z

482

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

483

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

484

Calibration of Cotton Planting Mechanisms.  

E-Print Network [OSTI]

per foot. To obtain a perfect stand of one plant to Foot, a minimum of 1 to a maximum of 11 plants per foot wonld have to be thinned out. The number for picker wheel- drop planting mechanisms ranged from a minimum of 2 to a maxi- mum of 27 plants... per foot, requiring the removal of from 1 to 26 nlants per foot to leave one plant per foot. CONTENTS Introduction History of cotton planter development ------------.---------------------------------- Cottonseed planting mechanisms Requirements...

Smith, H. P. (Harris Pearson); Byrom, Mills H. (Mills Herbert)

1936-01-01T23:59:59.000Z

485

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

486

Kernels and learning curves for Gaussian process regression on random graphs  

E-Print Network [OSTI]

and Outline Gaussian processes (GPs) have become a standard part of the machine learning toolbox [1]. Learning

Sollich, Peter

487

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

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

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

488

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

489

University Housing Designing Sustainable Communities for Living and Learning  

E-Print Network [OSTI]

The Mission Learning Center for Sustainable Futures Green Learning Community Student Engagement Green Living Public Events Green Education University and Community Outreach Community Building Our Home:Physical Features LEED Certification Sustainable Sites Materials and Resources Energy and Atmosphere Indoor

Almor, Amit

490

Competition Helps Kids Learn About Energy and Save Their Households...  

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

Competition Helps Kids Learn About Energy and Save Their Households Some Money Competition Helps Kids Learn About Energy and Save Their Households Some Money May 21, 2013 - 2:40pm...

491

augmented learning environment: Topics by E-print Network  

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

19 20 21 22 23 24 25 Next Page Last Page Topic Index 81 Medium-based design: Extending a medium to create and exploratory learning environment. Interactive Learning Environments...

492

EECBG Success Story: Learning is Now Much 'Cooler' for Maryland...  

Office of Environmental Management (EM)

Learning is Now Much 'Cooler' for Maryland School Students EECBG Success Story: Learning is Now Much 'Cooler' for Maryland School Students September 21, 2010 - 4:30pm Addthis Ring...

493

Nonparametric Bayesian methods for supervised and unsupervised learning  

E-Print Network [OSTI]

I introduce two nonparametric Bayesian methods for solving problems of supervised and unsupervised learning. The first method simultaneously learns causal networks and causal theories from data. For example, given synthetic ...

Mansinghka, Vikash Kumar

2009-01-01T23:59:59.000Z

494

Redefining learning environments in conflict areas : a Palestinian case study  

E-Print Network [OSTI]

This thesis is an exploration of learning environments in the West Bank of the Occupied Palestinian Territories (OPT) as administered by private, refugee and public school systems. In considering the insularity of learning ...

Kotob, Jenine (Jenine Shaban)

2013-01-01T23:59:59.000Z

495

Free online training and HUD videos on DVU Learning Channel!  

Broader source: Energy.gov [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...

496

Application-based Modules using Apprentice Learning for CS 2  

E-Print Network [OSTI]

Application-based Modules using Apprentice Learning for CS 2 Owen Astrachan Duke University ola module supports an apprentice style of learning wherein stu- dents use and modify implementations of data

Astrachan, Owen

497

Corporate serial acquisitions: An empirical test of the learning hypothesis  

E-Print Network [OSTI]

2007/23 Corporate serial acquisitions: An empirical test of the learning hypothesis Nihat Aktas: An empirical test of the learning hypothesis Nihat AKTAS1, Eric DE BODT2 and Richard ROLL3 March2007 Abstract

Nesterov, Yurii

498

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

499

The Icecube Data Acquisition Software: Lessons Learned During Distributed, Collaborative,  

E-Print Network [OSTI]

The Icecube Data Acquisition Software: Lessons Learned During Distributed, Collaborative, Multi@mail.npxdesigns.com, CPMcParland@lbl.gov, SJPatton@lbl.gov Abstract. In this experiential paper we report on lessons learned

Geddes, Cameron Guy Robinson

500

BUILD Program bridge to university for individuals with learning disabilities  

E-Print Network [OSTI]

: ·Discovertheuniquechallenges faced by students with learning disabilities in their transition to university ·Developtime-management.uwindsor.ca/disability If you are a student with a learning disability, making a successful transition