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Note: This page contains sample records for the topic "undp-adaptation learning mechanism" from the National Library of EnergyBeta (NLEBeta).
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1

UNDP-Adaptation Learning Mechanism | Open Energy Information  

Open Energy Info (EERE)

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

2

Compliant mechanism learning toolkit  

E-Print Network (OSTI)

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

Allard, Nicholas (Nicholas A.)

2006-01-01T23:59:59.000Z

3

Statistical Mechanics of Dictionary Learning  

E-Print Network (OSTI)

Finding a basis matrix (dictionary) by which objective signals are represented sparsely is of major relevance in various scientific and technological fields. We consider a problem to learn a dictionary from a set of training signals. We employ techniques of statistical mechanics of disordered systems to evaluate the size of the training set necessary to typically succeed in the dictionary learning. The results indicate that the necessary size is much smaller than previously estimated, which theoretically supports and/or encourages the use of dictionary learning in practical situations.

Sakata, Ayaka

2012-01-01T23:59:59.000Z

4

A Dual-Mode Learning Mechanism Combining Knowledge-Education and Machine-Learning  

Science Conference Proceedings (OSTI)

From 1956, the definitions of learning according to Artificial Intelligence and Psychology to human mind/behavior are obviously different. Owing to the rapid development of the computing power, we have potential to enhance the learning mechanism of AI.This ... Keywords: Artificial intelligence, Intelligence-Learning, Psychology, Teaching-base education, Trial and error

Yichang Chen; Anpin Chen

2008-09-01T23:59:59.000Z

5

On-line regression algorithms for learning mechanical models of robots: A survey  

Science Conference Proceedings (OSTI)

With the emergence of more challenging contexts for robotics, the mechanical design of robots is becoming more and more complex. Moreover, their missions often involve unforeseen physical interactions with the environment. To deal with these difficulties, ... Keywords: Adaptive and learning systems, Adaptive control, Mechanical models

Olivier Sigaud; Camille Salaün; Vincent Padois

2011-12-01T23:59:59.000Z

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

Indiana University

7

Learning with multiple representations: An example of a revision lesson in mechanics  

E-Print Network (OSTI)

We describe an example of learning with multiple representations in an A-level revision lesson on mechanics. The context of the problem involved the motion of a ball thrown vertically upwards in air and studying how the associated physical quantities changed during its flight. Different groups of students were assigned to look at the ball's motion using various representations: motion diagrams, vector diagrams, free-body diagrams, verbal description, equations and graphs, drawn against time as well as against displacement. Overall, feedback from students about the lesson was positive. We further discuss the benefits of using computer simulation to support and extend student learning.

Wong, Darren; Ng, Eng Hock; Wee, Loo Kang; 10.1088/0031-9120/46/2/005

2012-01-01T23:59:59.000Z

8

Unpacking the Black Box of Causality: Learning about Causal Mechanisms from Experimental and Observational Studies  

E-Print Network (OSTI)

Identifying causal mechanisms is a fundamental goal of social science. Researchers seek to study not only whether one variable affects another but also how such a causal relationship arises. Yet commonly used statistical ...

Yamamoto, Teppei

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

The Learning Way  

Science Conference Proceedings (OSTI)

Contemporary research on meta-cognition has reintroduced conscious experience into psychological research on learning and stimulated a fresh look at classical experiential learning scholars who gave experience a central role in the learning process - ... Keywords: Kolb Learning Style Inventory, experiential learning theory, games, learning self-identity, learning space, learning spiral, learning style, meta-cognition

Alice Y. Kolb; David A. Kolb

2009-06-01T23:59:59.000Z

11

Toward guidelines for modeling learning agents in multiagent-based simulation: implications from Q-learning and sarsa agents  

Science Conference Proceedings (OSTI)

This paper focuses on how simulation results are sensitive to agent modeling in multiagent-based simulation (MABS) and investigates such sensitivity by comparing results where agents have different learning mechanisms, i.e., Q-learning ... Keywords: agent modeling, bargaining game, learning mechanism, multiagent-based simulation, sensitivity

Keiki Takadama; Hironori Fujita

2004-07-01T23:59:59.000Z

12

K--12 computational learning  

Science Conference Proceedings (OSTI)

Enhancing student learning and understanding by combining theories of learning with the computer's unique attributes.

Stephen Cooper; Lance C. Pérez; Daphne Rainey

2010-11-01T23:59:59.000Z

13

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

14

Lessons Learned  

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

The Department of Energy utilizes lessons learned in the construction of DOE capital asset projects, in order to improve current and future construction projects. Integrated Project Team’s (IPTs),...

15

Landau theory of meta-learning  

Science Conference Proceedings (OSTI)

Computational Intelligence (CI) is a sub-branch of Artificial Intelligence paradigm focusing on the study of adaptive mechanisms to enable or facilitate intelligent behavior in complex and changing environments. Several paradigms of CI [like artificial ... Keywords: Landau theory, adaptive integration, artificial intelligence, cellular automata, computational intelligence, machine learning, meta-learning, minority survival, social strength

Dariusz Plewczynski

2011-06-01T23:59:59.000Z

16

Evaluating probabilistic models learned from data  

Science Conference Proceedings (OSTI)

Several learning algorithms have been proposed to construct probabilistic models from data using the Bayesian networks mechanism. Some of them permit the participation of human experts in order to create a knowledge representation of the domain. However, ... Keywords: Bayesian networks, learning algorithms, model evaluation, virtual sensors

Pablo H. Ibargüengoytia; Miguel A. Delgadillo; Uriel A. García

2011-11-01T23:59:59.000Z

17

A Machine Learning Evaluation of an Artificial Immune System  

Science Conference Proceedings (OSTI)

ARTIS is an artificial immune system framework which contains several adaptive mechanisms. LISYS is a version of ARTIS specialized for the problem of network intrusion detection. The adaptive mechanisms of LISYS are characterized in terms of their machine-learning ...

Matthew Glickman; Justin Balthrop; Stephanie Forrest

2005-06-01T23:59:59.000Z

18

Personalised time-dependent learning  

Science Conference Proceedings (OSTI)

Time-dependent instruction appears to shape next-generation learning systems, where the value of instruction is as important as the time it takes to learn. The ability to grasp the exact knowledge required to accomplish a specific task, in the ... Keywords: adaptive learning, authoring tools, knowledge management, learning granularity, learning objects, learning resources, learning technology, learning web, ontology, personalised learning, semantic web, time constraints, time-dependent learning, timeliness

R. Benlamri; Y. Atif; J. Berri

2009-04-01T23:59:59.000Z

19

An investigation into the application of ensemble learning for entailment classification  

Science Conference Proceedings (OSTI)

Textual entailment is a task for which the application of supervised learning mechanisms has received considerable attention as driven by successive Recognizing Data Entailment data challenges. We developed a linguistic analysis framework in which a ... Keywords: Classification, Ensemble learning, Entailment

Niall Rooney, Hui Wang, Philip S. Taylor

2014-01-01T23:59:59.000Z

20

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 business associates who have been directly involved and influenced by the applied learning teaching method. Accountability is critical for all public and charter schools. Districts have been trying to raise the standards with new programs and strategies in an effort to make learning experiences relevant to students? daily lives. Revisiting John Dewey?s philosophy from the progressive movement, project-based, service learning, community partnerships, and portfolio assessment helped to create the applied learning method. In the present study, a qualitative case study approach was utilized to identify successful factors, benefits, and drawbacks of applied learning in order to describe the transition of portfolio assessment, project-based learning, and community-based partnerships within the classroom and to understand the impact and misconceptions of applied learning as experienced through the Recognized Campus, ALA, a 6-8th public middle school within a large urban school district. Participant interviews, field observations, and historical records were collected which indicated that student centered project-based curriculum, small school size creating family relationships, community involvement with partnerships, service learning projects, and metacognitive development from portfolio assessments were the major factors that supported academic rigor and relevance because of the real educational applications in this applied learning middle school. Briefly defined, applied learning is when a problem is seen within the surrounding community, and the solution is generated by the students. This progressive 15-year impact of applied learning ultimately leads to the development of four applied learning schools despite the misconception that applied learning was a remedial or gifted program. Redefining applied learning for a better understanding developed a reconceptualized diagram borrowed from the quantum mechanics model. Reconceptualization expands the interpretation by increasing the intellectual flexibility. As the student becomes energized from the acquired knowledge of learning applicable skills through service learning, project-based curriculum, and portfolio assessment, the student?s academic growth should increase to a higher, educational ?energy level? supported by the critical, situated-learning, and feminist theories.

Gordon, Denise

2009-12-01T23:59:59.000Z

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.


21

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

22

Learning classifier systems  

Science Conference Proceedings (OSTI)

This tutorial gives an introduction to Learning Classifier Systems focusing on the Michigan-Style type and XCS in particular. The objective is to introduce (1) where LCSs come from, (2) how LCSs generally work, (3) which different systems exist, (4) ... Keywords: adaptive systems, cognitive systems, datamining, function approximation, genetic algorithms, learning classifier systems, machine learning, regression, reinforcement learning

Martin V. Butz

2010-07-01T23:59:59.000Z

23

Can e-learning replace classroom learning?  

Science Conference Proceedings (OSTI)

In an e-learning environment that emphasizes learner-centered activity and system interactivity, remote learners can outperform traditional classroom students.

Dongsong Zhang; J. Leon Zhao; Lina Zhou; Jay F. Nunamaker, Jr.

2004-05-01T23:59:59.000Z

24

Bohmian Mechanics  

E-Print Network (OSTI)

Bohmian mechanics is a theory about point particles moving along trajectories. It has the property that in a world governed by Bohmian mechanics, observers see the same statistics for experimental results as predicted by quantum mechanics. Bohmian mechanics thus provides an explanation of quantum mechanics. Moreover, the Bohmian trajectories are defined in a non-conspiratorial way by a few simple laws.

Detlef Duerr; Sheldon Goldstein; Roderich Tumulka; Nino Zanghi

2009-03-15T23:59:59.000Z

25

Mechanical down jar mechanism  

SciTech Connect

This paper describes a mechanical down jar mechanism for freeing stuck objects within a well bore and for conducting other down hole activities. It comprises: an elongate tubular housing having anvil means; mandrel means adapted for connection to an object to be moved downwardly within the well bore and being disposed in telescoping relation with the anvil means and the elongate tubular housing, the mandrel means adapted to be struck by the anvil means to impart a downwardly directed jarring force to the object; the elongate tubular housing having internal firing and recocking detent groove means located in axially spaced relation and forming a firing lug support land therebetween; a radially expandable and retractable firing lug assembly being disposed within the elongate tubular housing and in absence of force being applied axially thereto being radially restrained by the firing lug support land; load spring means being disposed within the elongate tubular housing and being in downward force transmitting relation with the firing lug assembly; recocking spring means being disposed within the elongate tubular housing and having upward axial force transmitting relation with the firing lug assembly.

Taylor, W.T.

1991-12-03T23:59:59.000Z

26

Distributed and collaborative learning objects repositories on grid networks  

Science Conference Proceedings (OSTI)

The paper deals with the design and a prototype implementation of a collaborative repository of scientific learning objects based on an efficient mechanism of filing and retrieving distributed knowledge on the Grid. The proposed repository can deal with ... Keywords: chemistry, grid, knowledge, learning objects, repository

Simonetta Pallottelli; Sergio Tasso; Nicola Pannacci; Alessandro Costantini; Noelia Faginas Lago

2010-03-01T23:59:59.000Z

27

Socially guided machine learning  

E-Print Network (OSTI)

Social interaction will be key to enabling robots and machines in general to learn new tasks from ordinary people (not experts in robotics or machine learning). Everyday people who need to teach their machines new things ...

Thomaz, Andrea Lockerd

2006-01-01T23:59:59.000Z

28

Supporting collaboration, enhancing learning  

Science Conference Proceedings (OSTI)

It is broadly admitted that collaboration can facilitate and augment learning in many ways. Accordingly, collaborative learning models, tools and technologies should receive increasing attention. Aiming at further contributing to this directive, this ...

Nikos Karacapilidis

2011-07-01T23:59:59.000Z

29

Relational sequence learning  

Science Conference Proceedings (OSTI)

Sequential behavior and sequence learning are essential to intelligence. Often the elements of sequences exhibit an internal structure that can elegantly be represented using relational atoms. Applying traditional sequential learning techniques to such ...

Kristian Kersting; Luc De Raedt; Bernd Gutmann; Andreas Karwath; Niels Landwehr

2008-01-01T23:59:59.000Z

30

Mobile learning challenges and potentials  

Science Conference Proceedings (OSTI)

The transition to an information society and the therewith strongly related need of lifelong and life-wide learning on the one hand, and the increasing coverage of and developments in mobile information and communication technology on the other hand ... Keywords: ICT, barriers, benefits, challenges, definitions, e-learning, lifelong learning, m-learning applications, m-learning initiatives, mobile education, mobile learning, online learning, problems, ubiquitous learning

Michaela Denk; Michael Weber; Roland Belfin

2007-03-01T23:59:59.000Z

31

Learning and innovation expand cooperative network topologies  

E-Print Network (OSTI)

Cooperation plays a key role in the evolution of complex systems. However, the level of cooperation extensively varies with the topology of agent networks in the widely used models of repeated games. Here we show that cooperation remains rather stable by applying long-term learning + innovative strategy adoption rules on a variety of random, regular, small-word, scale-free and modular networks in repeated, multi-agent games. Furthermore, we found that while long-term learning promotes cooperation, innovation makes the level of cooperation less dependent on the actual network topology. Our results demonstrate that long-term learning and innovation, when acting together, extend the range of network topologies enabling the development of cooperation at a wider range of costs and temptations. Learning and innovation help to preserve cooperation during network re-organization, and may be key mechanisms promoting the evolution of self-organizing, complex systems.

Wang, Shijun; Zhang, Changshui; Csermely, Peter

2007-01-01T23:59:59.000Z

32

Bohmian mechanics contradicts quantum mechanics  

E-Print Network (OSTI)

Bohmian mechanics contradicts quantum mechanics Arnold Neumaier Institut fur Mathematik, Universit://solon.cma.univie.ac.at/#24;neum/ Abstract. It is shown that, for a harmonic oscillator in the ground state, Bohmian mechanics and quantum mechanics predict values of opposite sign for certain time correlations. The discrepancy can

Neumaier, Arnold

33

Adaptive mechanism design: a metalearning approach  

Science Conference Proceedings (OSTI)

Auction mechanism design has traditionally been a largely analytic process, relying on assumptions such as fully rational bidders. In practice, however, bidders often exhibit unknown and variable behavior, making them difficult to model and complicating ... Keywords: auctions, machine learning, mechanism design, metalearning

David Pardoe; Peter Stone; Maytal Saar-Tsechansky; Kerem Tomak

2006-08-01T23:59:59.000Z

34

Lessons Learned Quarterly Report Cumulative Index | Department...  

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

& Requirements Lessons Learned Lessons Learned Quarterly Report Cumulative Index Lessons Learned Quarterly Report Cumulative Index Guidance Requirements Lessons...

35

9.03 / 9.031 Neural Basis of Learning and Memory, Fall 2003  

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

36

Learning Programs | Department of Energy  

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

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

37

A personal learning apprentice  

E-Print Network (OSTI)

Abstract requesting certain types of meetings. In order to be Personalized knowledge-based systems have not yet become widespread, despite their potential for valuable assistance in many daily tasks. This is due, in part, to the high cost of developing and maintaining customized knowledge bases. The construction of personal assistants as learning apprentices-- interactive assistants that learn continually from their users-- is one approach which could dramatically reduce the cost of knowledge-based advisors. We present one such personal learning apprentice, called CAP, which assists in managing a meeting calendar. CAP has been used since June 1991 by a secretary in our work place to manage a faculty member’s meeting calendar, and is the first instance of a fielded learning apprentice in routine use. This paper describes the organization of CAP, its performance in initial field tests, and more general lessons learned from this effort about learning apprentice systems.

Lisa Dent; Jesus Boticario; John Mcdermott; Tom Mitchell; David Zabowski

1992-01-01T23:59:59.000Z

38

Empathy in virtual learning environments  

Science Conference Proceedings (OSTI)

How do we engage teachers and learners in the learning process and what are the benefits of this? How do we get students to learn? Many academic institutions of all levels are asking these questions. Throughout the years new teaching methodologies ... Keywords: Second Life, VLEs, e-learning, empathy, engagement, online learning, teaching methodologies, virtual learning environments

Judith Molka-Danielsen; Bryan W. Carter; Alastair Creelman

2009-02-01T23:59:59.000Z

39

National Hydrogen Learning Demonstration  

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

Project Wrap-up National Renewable Energy Laboratory 3 Innovation for Our Energy Future Fuel Cell Electric Vehicle Learning Demo Project Objectives, Relevance, and Targets *...

40

User Facilities - Learn More  

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

Neutron Source Search by Equipment or Process User Portal Quick Links ORNL home User facility contacts ORNL Guest House Open Helpful Travel Information Learn More User...

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

learn more - TMS  

Science Conference Proceedings (OSTI)

This is demonstrated in impressive learning curves. But, where are the new processes for tomorrow? It is hoped that the attending metallurgist will be able to do ...

42

Lessons Learned | Department of Energy  

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

Lessons Learned Lessons Learned Aviation Management Executive Secretariat Energy Reduction at HQ Facilities and Infrastructure Federal Advisory Committee Management Freedom of...

43

DOE Corporate Lessons Learned Database  

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

Lessons Learned Database Home About This Site Contact Us Related Links Defense Nuclear Security Lessons Learned Center (DNS-LLC) Corporate Operating Experience Review Program...

44

Optical Learning Chip  

E-Print Network (OSTI)

A novel type of an optical neurochip with learning capability and memory function is reported. The neurochip is a three dimensional optoelectronic integrated circuit consisting of a light emitting diode array and a variable sensitivity photodetector (VSPD) array. The principle of operation and the fundamental characteristics are described. By using the fabricated optical neurochip with 32 neurons and 32\\Theta32 synapses, experiments of on-chip learning based on the backpropagation and Boltzmann machine learning algorithms have successfully been demonstrated. INTRODUCTION Optoelectronics is expected to play an important role in hardware implementation of neural networks because of its innate parallelism, high-density interconnection, and direct image processing abilities [1]. This summary describes an optical learning chip with variable synaptic interconnections developed in our laboratory. This chip enables to perform on-chip learning by using an internal analog memory function. Firs...

Jun Ohta Yoshikazu; Jun Ohta; Yoshikazu Nitta; Kazuo Kyuma

1994-01-01T23:59:59.000Z

45

Learning from Multiple Outlooks  

E-Print Network (OSTI)

We consider semi-supervised learning from multiple outlooks of the same learning task, that is, learning from different representations of the same type of data. As opposed to learning from multiple views where it is assumed that the exact same instances have multiple representations, we only assume the availability of samples of the same learning task in different domains. We develop an algorithmic framework that is based on mapping the (unlabeled) data followed by adjusting the mapping using the scarcer labeled data. The mapped data from all the outlooks can then be used for a generic classification algorithm. We further provide sample complexity results under the assumption that the different outlooks are inherently low dimension Gaussian mixtures. Experiments with real-world data indicate the performance boost from using multiple outlooks.

Gal-on, Maayan

2010-01-01T23:59:59.000Z

46

Considerations for implementing an organizational lessons learned process.  

SciTech Connect

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

47

E-learning grid: an online learning network  

Science Conference Proceedings (OSTI)

Online learning or e-learning is not only an important cost saving measure for corporations to train their staff and customers but it provides the flexibility and opportunities to reach out to a much larger audience. Schools and institutions have been ... Keywords: administration, community network, e-learning, learning, management, sharing

F. H. Choo; K. L. Gay; H. Mir Mohammad Hosseini; C. B. Teo

2007-09-01T23:59:59.000Z

48

PVLV: The Primary Value and Learned Value Pavlovian Learning Algorithm  

E-Print Network (OSTI)

University of Colorado at Boulder The authors present their primary value learned value (PVLV) model robust to variability in the environment. The primary value (PV) system controls performance and learning during primary rewards, whereas the learned value (LV) system learns about conditioned stimuli. The PV

O'Reilly, Randall C.

49

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

50

Learning meets verification  

Science Conference Proceedings (OSTI)

In this paper, we give an overview on some algorithms for learning automata. Starting with Biermann's and Angluin's algorithms, we describe some of the extensions catering for specialized or richer classes of automata. Furthermore, we survey their recent ...

Martin Leucker

2006-11-01T23:59:59.000Z

51

Computers for Learning  

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

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

52

Learning About Magnets!  

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

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

53

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

54

Time series association learning  

DOE Patents (OSTI)

This invention generally relates to machine-based speech and speaker recognition and, more particularly, to machine-based speech recognition using a learned relationship between acoustic and articulatory parameters. 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. 7 figs.

Papcun, G.J.

1990-01-31T23:59:59.000Z

55

Kirkpatrick's Learning Evaluation Model  

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

One of the core principles of training evaluation is the model based on four sequential levels that was developed by Donald Kirkpatrick. The levels, 1) Reaction, 2) Learning, 3) Behavior, and 4)...

56

Using Quantum Computers to Learn Physics  

E-Print Network (OSTI)

Since its inception at the beginning of the twentieth century, quantum mechanics has challenged our conceptions of how the universe ought to work; however, the equations of quantum mechanics can be too computationally difficult to solve using existing computers for even modestly large systems. Here I will show that quantum computers can sometimes be used to address such problems and that quantum computer science can assign formal complexities to learning facts about nature. Hence, computer science should not only be regarded as an applied science; it is also of central importance to the foundations of science.

Nathan Wiebe

2014-01-18T23:59:59.000Z

57

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)

The purpose of this study was to explore the evolution of collaborative practices of PLCs as they emerge when using technology based formative assessment via iFAIT or innovative Formative Assessment with Instruction and Technology developed by the researcher using audience response systems and the online data compiler, Eduphoria!. This study used sequential explanatory mixed methods to address the problems that schools face when implementing technology based formative assessments to improve instruction 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 of support for technology based formative assessment. Training was facilitated by the researcher as PLCs worked together to develop, administer, and interpret formative assessments. Teacher interviews were conducted, and the study ended with the administration of the December 2012 survey and open-response questions for further qualitative analysis. Quantitative data analysis was completed using ANOVAs to determine if there were significant differences of teacher groups (subject taught, grade level taught, and years of teaching experience) use of iFAIT. This data analysis also included measures of frequency and paired sample t tests between the September and December 2012 responses. Qualitative data was analyzed using hand coding, word clouds, and WordSmith Tools. The triangulation of qualitative data in the quantitative data provided a narrative to document what collaborative factors affected the use of iFAIT. For school improvement and implementation of iFAIT, the study revealed that (1) with the right technology infrastructure, on-going professional development must be offered by administrators or sought after by teachers; (2) teachers must have strong beliefs in formative assessment and the technology that supports it; (3) open lines of communication must be supported through the PLC and administration; (4) teachers must see purpose in using revealing student data to drive instruction; and (5) PLCs must have common beliefs and believe that student achievement is connected to school improvement. PLCs should discuss data, share successes, and plan instruction through extended involvement in face-to-face and online venues as communities of practice.

Talkmitt, Marcia J.

2013-05-01T23:59:59.000Z

58

Compliant mechanisms  

E-Print Network (OSTI)

The motivation for this work has been a variety of motions like navigation of pipelines, insertion operations in assembly, and gripping actions, which require the adaptation of the mechanism to the external constraints, rather than avoid them. To this effect, efforts have been made in building mechanisms that obtain the required degrees of freedom through deformations rather than explicit joints in them. Although the use of many joints provides the required number of degrees of freedom, it does so at the cost of making the system very bulky and complex. With the advent of new polymers, the possibility of building joint-free mechanisms that fulfil the requirements of adaptation has increased. Based on this approach, a Magneto Active Polymer (MAP) material has been developed here at the Texas A\\&M University, in which the actuation is performed by the conversion of electromagnetic energy into mechanical energy. The initial experimentation has proved the vast potential of the use of such a material and a few mechanisms like a magneto active peristaltic pump, have been designed and tested for the first time using this material. In this mechanism, the pumping action is obtained when a moving magnetic field produces peristaltic waves in the magneto active material shaped as a tube. Also for the first time, experiments have been conducted to analyze the response of the MAP material to a pulsating magnetic field with the intent of using the experimental results to develop a model of the MAP. In developing the design for the peristaltic pump and other conceptual models described in this thesis, ideas have been drawn from the different modes of locomotion and actuators present in lower organisms. These have been good sources of inspiration for the work done in this thesis and they have been documented in detail.

Venkataraghavan, Janarthanan T

2001-01-01T23:59:59.000Z

59

Acceleration Mechanisms  

E-Print Network (OSTI)

Glossary I. Background and context of the subject II. Stochastic acceleration III. Resonant scattering IV. Diffusive shock acceleration V. DSA at multiple shocks VI. Applications of DSA VII. Acceleration by parallel electric fields VIII. Other acceleration mechanisms IX. Future directions X. Appendix: Quasilinear equations XI. Bibliography

Melrose, D B

2009-01-01T23:59:59.000Z

60

Personalized mobile English vocabulary learning system based on item response theory and learning memory cycle  

Science Conference Proceedings (OSTI)

Since learning English is very popular in non-English speaking countries, developing modern assisted-learning tools that support effective English learning is a critical issue in the English-language education field. Learning English involves memorization ... Keywords: English vocabulary learning, Item response theory, Learning memory cycle, Mobile learning, Personalized learning

Chih-Ming Chen; Ching-Ju Chung

2008-09-01T23:59:59.000Z

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


61

Exceeding Expectations: Learnings from the FCV Learning Demo (Presentation)  

DOE Green Energy (OSTI)

This presentation summarizes findings of the fuel cell vehicle learning demonstration of the Fuel Cell Technologies Program.

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

2010-05-05T23:59:59.000Z

62

Continual Learning | Department of Energy  

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

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

63

Energy Efficiency Learning Activity | Open Energy Information  

Open Energy Info (EERE)

Training materials User Interface: Website Website: learn.kidwind.orgsitesdefaultfilesenergyefficiency.pdf Cost: Free Language: English Logo: Energy Efficiency Learning...

64

Reduct based Q-learning: an introduction  

Science Conference Proceedings (OSTI)

This paper introduces an approach to Reinforcement Learning Algorithm by introducing reduct concept of rough set methodology using a variation of Q-Learning algorithm. Unlike the conventional Q-Learning, the proposed algorithm calculates the reduct from ... Keywords: Q-learning method, reduct and reduct based Q-learning, reinforcement learning, rough set

Punit Pandey; Deepshikha Pandey

2011-02-01T23:59:59.000Z

65

Mobile learning: A framework and evaluation  

Science Conference Proceedings (OSTI)

Wireless data communications in form of Short Message Service (SMS) and Wireless Access Protocols (WAP) browsers have gained global popularity, yet, not much has been done to extend the usage of these devices in electronic learning (e-learning). This ... Keywords: Adult learning, Architectures for educational technology system, Cooperative/collaborative learning, Distance education and tele-learning, Learning communities

Luvai F. Motiwalla

2007-11-01T23:59:59.000Z

66

Multi-instance multi-label learning  

Science Conference Proceedings (OSTI)

In this paper, we propose the MIML (Multi-Instance Multi-Label learning) framework where an example is described by multiple instances and associated with multiple class labels. Compared to traditional learning frameworks, the MIML framework is more ... Keywords: MIML, Machine learning, Multi-instance learning, Multi-instance multi-label learning, Multi-label learning

Zhi-Hua Zhou; Min-Ling Zhang; Sheng-Jun Huang; Yu-Feng Li

2012-01-01T23:59:59.000Z

67

Evaluating learning algorithms and classifiers  

Science Conference Proceedings (OSTI)

We analyse 18 evaluation methods for learning algorithms and classifiers, and show how to categorise these methods with the help of an evaluation method taxonomy based on several criteria. We also define a formal framework that make it possible to describe ... Keywords: classification, classifiers, evaluation methods, learning algorithms, supervised learning, taxonomy

Niklas Lavesson; Paul Davidsson

2007-04-01T23:59:59.000Z

68

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

69

Modulation of Induced Gamma Band Responses in a Perceptual Learning Task in the Human EEG  

Science Conference Proceedings (OSTI)

Fragmented pictures of an object, which appear meaningless when seen for the first time, can easily be identified after the presentation of an unfragmented version of the same picture. The neuronal mechanism for such a rapid perceptual learning phenomenon ...

Thomas Gruber; Matthias M. Müller; Andreas Keil

2002-07-01T23:59:59.000Z

70

Modeling and Forecasting the Daily Maximum Temperature Using Abductive Machine Learning  

Science Conference Proceedings (OSTI)

The abductory induction mechanism (AIM®) is a modern machine-learning modeling tool that draws from the fields of neural networks, abductive networks, and multiple regression analysis. This paper introduces AIM as a useful weather modeling and ...

R. E. Abdel-Aal; M. A. Elhadidy

1995-06-01T23:59:59.000Z

71

Learning From Real Springs  

E-Print Network (OSTI)

Many springs do not obey Hooke's Law because they are constructed to have an intrinsic tension which must be overcome before normal elongation occurs. This property, well-known to engineers, is universally neglected in elementary physics courses. In fact it can be used to enhance learning and to deepen understanding of potential energy.

Bassichis, William

2013-01-29T23:59:59.000Z

72

Lunch & Learn Facilities &  

E-Print Network (OSTI)

reimbursements to the University for costs incurred in support of sponsored projects Sponsor perspective: F&A represent the sponsor's fair share of facilities and administration as it relates to total project costs 7Lunch & Learn Facilities & Administrative (F&A) Costs #12;Today's Agenda What are F&A Costs? How

McQuade, D. Tyler

73

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

2013-07-20T23:59:59.000Z

74

Smart Metering: Lessons Learned  

Science Conference Proceedings (OSTI)

More than 50 utilities around the world have started implementations of Advanced Metering Infrastructure (AMI, or Smart Metering). Approximately 20 of those utilities have completed their implementation and many of the others are well down the road to completion. This paper provides lessons learned from more than 30 smart metering implementations, based on the direct experiences of utility smart metering project teams.

2010-12-14T23:59:59.000Z

75

Threats analysis for e-learning  

Science Conference Proceedings (OSTI)

The purpose of this paper is to investigate and define the information security threats within an e-learning environment. A threat analysis has been conducted for each application in the managed learning environment (MLE) system used in the ... Keywords: MLEs, Microsoft, application systems, e-learning, electronic learning, host vulnerabilities, information security, managed learning environments, network vulnerability, online learning, potential threats, risk management, risk matrix, security strategies, technology enhanced learning, threat matrix, threats analysis, user awareness

Najwa Hayaati Mohd Alwi; Ip-Shing Fan

2010-10-01T23:59:59.000Z

76

NEPA Lessons Learned Questionnaire  

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

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

77

Information, learning and falsification  

E-Print Network (OSTI)

Broadly speaking, there are two approaches to quantifying information. The first, Shannon information, takes events as belonging to ensembles and quantifies the information resulting from observing the given event in terms of the number of alternate events that have been ruled out. The second, algorithmic information or Kolmogorov complexity, takes events as strings and, given a universal Turing machine, quantifies the information content of a string as the length of the shortest program producing it. This note describes a new method of quantifying information, effective information, that links algorithmic information to Shannon information, and also links both to capacities arising in statistical learning theory. After introducing the measure, we show that it provides a non-universal analog of algorithmic information. We then apply it to derive basic capacities in statistical learning theory: empirical VC-entropy and empirical Rademacher complexity. A nice byproduct of our approach is an interpretation of th...

Balduzzi, David

2011-01-01T23:59:59.000Z

78

INDEXING MECHANISM  

DOE Patents (OSTI)

A device is presented for loading and unloading fuel elements containing material fissionable by neutrons of thermal energy. The device comprises a combination of mechanical features Including a base, a lever pivotally attached to the base, an Indexing plate on the base parallel to the plane of lever rotation and having a plurality of apertures, the apertures being disposed In rows, each aperture having a keyway, an Index pin movably disposed to the plane of lever rotation and having a plurality of apertures, the apertures being disposed in rows, each aperture having a keyway, an index pin movably disposed on the lever normal to the plane rotation, a key on the pin, a sleeve on the lever spaced from and parallel to the index pin, a pair of pulleys and a cable disposed between them, an open collar rotatably attached to the sleeve and linked to one of the pulleys, a pin extending from the collar, and a bearing movably mounted in the sleeve and having at least two longitudinal grooves in the outside surface.

Kock, L.J.

1959-09-22T23:59:59.000Z

79

Learning About Magnets!  

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

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

80

Learning planar ising models  

Science Conference Proceedings (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

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 Design  

SciTech Connect

The particle beam of the SXR (soft x-ray) beam line in the LCLS (Linac Coherent Light Source) has a high intensity in order to penetrate through samples at the atomic level. However, the intensity is so high that many experiments fail because of severe damage. To correct this issue, attenuators are put into the beam line to reduce this intensity to a level suitable for experimentation. Attenuation is defined as 'the gradual loss in intensity of any flux through a medium' by [1]. It is found that Beryllium and Boron Carbide can survive the intensity of the beam. At very thin films, both of these materials work very well as filters for reducing the beam intensity. Using a total of 12 filters, the first 9 being made of Beryllium and the rest made of Boron Carbide, the beam's energy range of photons can be attenuated between 800 eV and 9000 eV. The design of the filters allows attenuation for different beam intensities so that experiments can obtain different intensities from the beam if desired. The step of attenuation varies, but is relative to the thickness of the filter as a power function of 2. A relationship for this is f(n) = x{sub 0}2{sup n} where n is the step of attenuation desired and x{sub 0} is the initial thickness of the material. To allow for this desired variation, a mechanism must be designed within the test chamber. This is visualized using a 3D computer aided design modeling tool known as Solid Edge.

2010-08-25T23:59:59.000Z

82

Redefining learning goals of very long-term learning across many different fields of activity  

Science Conference Proceedings (OSTI)

There is a hidden agenda in our modern conception of learning--especially as embodied in education--that the learning experiences gained in one "learning situation" are naturally built-upon, expanded, and integrated with experiences from other learning ...

Naomi Miyake; Roy Pea; Brigid Barron; Daniel L. Schwartz; Lee Martin; Rogers Hall; Ken Wright; Karen Wieckert

2007-07-01T23:59:59.000Z

83

Using blogs to support learning during internship  

Science Conference Proceedings (OSTI)

Blogging has been recommended as a suitable tool for learning during internship due to its associated usefulness in collaborative learning, reflection, communication, and social support. In this study, blogging was incorporated into the internship activities ... Keywords: Blogs, Collaborative learning, Professional learning, Teaching/learning strategies

Samuel K. W. Chu; Carol K. K. Chan; Agnes F. Y. Tiwari

2012-04-01T23:59:59.000Z

84

Using mobile learning to increase environmental awareness  

Science Conference Proceedings (OSTI)

Mobile learning or m-learning, a relatively new concept, has attracted the interest of educators, researchers, and companies developing learning systems and instructional materials. This study investigated the use of integrating use of mobile technologies, ... Keywords: Collaborative learning, Environmental awareness, Gender, Grade, m-Learning

Huseyin Uzunboylu; Nadire Cavus; Erinc Ercag

2009-02-01T23:59:59.000Z

85

A requirements catalog for mobile learning environments  

Science Conference Proceedings (OSTI)

Mobile learning (m-learning) can be characterized by the ability to promote a strong interaction among apprentices and tutors, assuring greater motivation, convenience and flexibility to the learning process. Mobile learning environments have emerged ... Keywords: mobile learning, prioritization, requirements, systematic review

Nemésio Freitas Duarte Filho; Ellen Francine Barbosa

2013-03-01T23:59:59.000Z

86

National Fuel Cell Electric Vehicle Learning Demonstration Final Report  

DOE Green Energy (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

87

Alternative Fuels Lessons Learned Workshop  

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

Lessons Learned Workshop Prepared for: 2010-2025 H2 Scenario Analysis Meeting Margo Melendez - NREL Disclaimer and Government License This work has been authored by Midwest...

88

Moods, wicked problems, and learning  

Science Conference Proceedings (OSTI)

Wicked problems and learning environments present tough mood challenges for leaders and teachers. Telepresence and sensory gadgets are unlikely to replace physical presence in these areas.

Peter J. Denning

2013-03-01T23:59:59.000Z

89

Machine Learning for Global Optimization  

E-Print Network (OSTI)

approach for global optimization in which machine learning is used to predict ..... In Figure 1 we show the level curves of the 2–dimensional Rastrigin function.

90

Physicalism versus quantum mechanics  

E-Print Network (OSTI)

Foundations of Quantum Mechanics. (Princeton UniversityMind, Matter, and Quantum Mechanics, (Springer, Berlin & NewMindful Universe: Quantum Mechanics and the Participating

Stapp, Henry P; Theoretical Physics Group; Physics Division

2009-01-01T23:59:59.000Z

91

Big data, lifelong machine learning and transfer learning  

Science Conference Proceedings (OSTI)

A major challenge in today's world is the Big Data problem, which manifests itself in Web and Mobile domains as rapidly changing and heterogeneous data streams. A data-mining system must be able to cope with the influx of changing data in a continual ... Keywords: big data, lifelong machine learning, transfer learning

Qiang Yang

2013-02-01T23:59:59.000Z

92

An adaptive learning to rank algorithm: Learning automata approach  

Science Conference Proceedings (OSTI)

The recent years have witnessed the birth and explosive growth of the web. It is obvious that the exponential growth of the web has made it into a huge interconnected source of information wherein finding a document without a searching tool is unimaginable. ... Keywords: Learning automata, Learning to rank, Ranking function, Search engine

Javad Akbari Torkestani

2012-12-01T23:59:59.000Z

93

Bayesian learning in bioinformatics  

E-Print Network (OSTI)

Life sciences research is advancing in breadth and scope, affecting many areas of life including medical care and government policy. The field of Bioinformatics, in particular, is growing very rapidly with the help of computer science, statistics, applied mathematics, and engineering. New high-throughput technologies are making it possible to measure genomic variation across phenotypes in organisms at costs that were once inconceivable. In conjunction, and partly as a consequence, massive amounts of information about the genomes of many organisms are becoming accessible in the public domain. Some of the important and exciting questions in the post-genomics era are how to integrate all of the information available from diverse sources. Learning in complex systems biology requires that information be shared in a natural and interpretable way, to integrate knowledge and data. The statistical sciences can support the advancement of learning in Bioinformatics in many ways, not the least of which is by developing methodologies that can support the synchronization of efforts across sciences, offering real-time learning tools that can be shared across many fields from basic science to the clinical applications. This research is an introduction to several current research problems in Bioinformatics that addresses integration of information, and discusses statistical methodologies from the Bayesian school of thought that may be applied. Bayesian statistical methodologies are proposed to integrate biological knowledge and improve statistical inference for three relevant Bioinformatics applications: gene expression arrays, BAC and aCGH arrays, and real-time gene expression experiments. A unified Bayesian model is proposed to perform detection of genes and gene classes, defined from historical pathways, with gene expression arrays. A novel Bayesian statistical method is proposed to infer chromosomal copy number aberrations in clinical populations with BAC or aCGH experiments. A theoretical model is proposed, motivated from historical work in mathematical biology, for inference with real-time gene expression experiments, and fit with Bayesian methods. Simulation and case studies show that Bayesian methodologies show great promise to improve the way we learn with high-throughput Bioinformatics experiments.

Gold, David L.

2007-08-01T23:59:59.000Z

94

Machine Learning for Sequential Data: A Review  

Science Conference Proceedings (OSTI)

Statistical learning problems in many fields involve sequential data. This paper formalizes the principal learning tasks and describes the methods that have been developed within the machine learning research community for addressing these problems. ...

Thomas G. Dietterich

2002-08-01T23:59:59.000Z

95

Environment/Health/Safety (EHS): Lessons Learned  

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

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

96

Active Learning Strategies for Teaching Lean Thinking  

E-Print Network (OSTI)

Active learning is a method of designing instruction so that classroom students are actively involved in learning concepts and content. Instead of casting students into the role of passive listener, active learning techniques ...

Candido, Jacqueline P.

2007-06-11T23:59:59.000Z

97

Bayesian Network Learning with Parameter Constraints  

Science Conference Proceedings (OSTI)

The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of training data. This paper considers a variety of types of domain knowledge ...

Radu Stefan Niculescu; Tom M. Mitchell; R. Bharat Rao

2006-12-01T23:59:59.000Z

98

ICT4D and the learning sciences  

Science Conference Proceedings (OSTI)

Over the last two decades, the learning sciences have contributed immensely to curricula-based learning in formal environments. Recently, there is an increased emphasis on learning that occurs outside formal institutions, especially through the use of ...

Michael A. Evans; Aditya Johri; George E. Glasson; Kursat Cagiltay; Joyojeet Pal; Piya Sorcar

2008-06-01T23:59:59.000Z

99

Machine Learning Benchmarks and Random Forest Regression  

E-Print Network (OSTI)

Machine Learning Benchmarks and Random Forest Regressionerror on a suite of benchmark datasets. As the basethe Machine Learning Benchmark Problems package; see http://

Segal, Mark R

2004-01-01T23:59:59.000Z

100

Clean Cities: Clean Cities University Online Learning  

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

University Online Learning to someone by E-mail Share Clean Cities: Clean Cities University Online Learning on Facebook Tweet about Clean Cities: Clean Cities University Online...

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

Industrial Assessment Centers Help Students, Communities Learn...  

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

Industrial Assessment Centers Help Students, Communities Learn About Energy Efficiency Industrial Assessment Centers Help Students, Communities Learn About Energy Efficiency March...

102

Mapping Individual Variations in Learning Capacity  

E-Print Network (OSTI)

in working memory capacity. Integrative Physiological andVariations in Learning Capacity Eduardo Mercado IIIdifferences in learning capacity are evident in humans and

Mercado III, Eduardo

2011-01-01T23:59:59.000Z

103

Lessons Learned from Microgrid Demonstrations Worldwide  

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

Lessons Learned from Microgrid Demonstrations Worldwide Title Lessons Learned from Microgrid Demonstrations Worldwide Publication Type Report LBNL Report Number LBNL-5825E Year of...

104

Single Cell Mechanics BIOMATERIALS  

E-Print Network (OSTI)

Single Cell Mechanics BIOMATERIALS Our goal is to develop fundamental tools to measure the response of live cells to mechanical stimulation. The mechanisms by which cells convert mechanical forces evaluate the underlying mechanisms of cell mechanics. Objective Impact and Customers · Cancer, heart

105

When to learn and when to forget : NMDA normalization in hippocampal neurons-- activity-dependent, temporal and spatial properties.  

E-Print Network (OSTI)

Synaptic plasticity is the substrate of a vast variety of learning mechanisms. However, the molecular pathways and physiological patterns that regulate it are poorly understood. In the first part of this thesis, we focus ...

Sadeghpour, Safa

2007-01-01T23:59:59.000Z

106

Activized Learning: Transforming Passive to Active with Improved Label Complexity  

Science Conference Proceedings (OSTI)

We study the theoretical advantages of active learning over passive learning. Specifically, we prove that, in noise-free classifier learning for VC classes, any passive learning algorithm can be transformed into an active learning algorithm with asymptotically ...

Steve Hanneke

2012-06-01T23:59:59.000Z

107

Multimedia learning: Cognitive individual differences and display design techniques predict transfer learning with multimedia learning modules  

Science Conference Proceedings (OSTI)

In the wake of the information explosion and rapidly progressing technology [Mayer, R. E. (2001). Multimedia learning. Cambridge: University Press] formulated a theory that focused on human cognition, rather than technology capacity and features. By ... Keywords: Interface, Multimedia design, Multimedia learning

Katherine A. Austin

2009-12-01T23:59:59.000Z

108

Learning About Saving Energy  

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

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

109

Generalized Stochastic Gradient Learning  

E-Print Network (OSTI)

#1;#2;#3;#2;#4;#5;#6;#7;#8;#2; #11;#12; #14;#15;#5;#16;#12;#7;#14; #1;#4;#5; #7;#2;#3;#12; #17;#2;#5;#4;#3;#7;#3;#18; George W. Evans, Seppo Honkapohja and Noah Willams #19;#14;#12; #20;#2;#4; #21;#22;#22;#23; #24;#25;#26;#27; #22;#23;#28;#23; #1... ;#2;#3;#4;#3;#2;#4;#5;#6;#4;#7;#8;#2;#3;#6; #4; #11;#3;#12;#2;#8;#3;#4; #6;#14;#15;#11;#16;#16;#11;#2;#17; Generalized Stochastic Gradient Learning? George W. Evans University of Oregon Seppo Honkapohja University of Cambridge Noah Williams Princeton...

Evans, George W; Honkapohja, Seppo; Williams, Noah

2006-03-14T23:59:59.000Z

110

Learning Graph Matching  

E-Print Network (OSTI)

As a fundamental problem in pattern recognition, graph matching has applications in a variety of fields, from computer vision to computational biology. In graph matching, patterns are modeled as graphs and pattern recognition amounts to finding a correspondence between the nodes of different graphs. Many formulations of this problem can be cast in general as a quadratic assignment problem, where a linear term in the objective function encodes node compatibility and a quadratic term encodes edge compatibility. The main research focus in this theme is about designing efficient algorithms for approximately solving the quadratic assignment problem, since it is NP-hard. In this paper we turn our attention to a different question: how to estimate compatibility functions such that the solution of the resulting graph matching problem best matches the expected solution that a human would manually provide. We present a method for learning graph matching: the training examples are pairs of graphs and the `labels' are ma...

Caetano, Tiberio S; Cheng, Li; Le, Quoc V; Smola, Alex J

2008-01-01T23:59:59.000Z

111

Aid for Trade and Climate Change Financing Mechanisms | Open Energy  

Open Energy Info (EERE)

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

112

LESSONS LEARNED LEARNED LESSONS N E P A  

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

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

113

St. Louis FUSRAP Lessons Learned  

SciTech Connect

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

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

2003-02-26T23:59:59.000Z

114

A learning apprentice for browsing  

E-Print Network (OSTI)

This paper describes the task of browsing and an agent we have dev eloped to improve the speed and success rate of browsing. The agent is a learning apprentice: it monitors the user’s normal browsing actions and learns a measure of "relevance " to the user interests. It searches the library being browsed, uses the learned measure to evaluate items and presents to the user those that are most relevant. The paper discusses the main issues raised during the development of the browsing agent. These are of general interest not only because browsing is of considerable practical importance but also because it represents a prototypical task for

Robert C. Holte; Chris Drummond

1994-01-01T23:59:59.000Z

115

Utility Energy Service Contracts - Lessons Learned  

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

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

116

Mobile application for learning the Thai language  

Science Conference Proceedings (OSTI)

At present, mobile learning has increased popularity as it offers a better opportunity to leverage educational level. The major advantage of mobile learning is the ability to learn from anywhere at any time using the wireless internet access available ... Keywords: Thai language, m-Learning, mobile services oriented architecture (MSOA) framework, web services

Wichian Premchaiswadi; Nucharee Premchaiswadi

2011-07-01T23:59:59.000Z

117

Utility Energy Service Contracts - Lessons Learned  

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

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

118

Organizational Learning: From Experience to Knowledge  

Science Conference Proceedings (OSTI)

Organizational learning has been an important topic for the journal Organization Science and for the field. We provide a theoretical framework for analyzing organizational learning. According to the framework, organizational experience interacts ... Keywords: creativity, innovation, knowledge transfer, learning curves, organizational learning, organizational memory

Linda Argote; Ella Miron-Spektor

2011-09-01T23:59:59.000Z

119

Scalable Active Learning for Multiclass Image Classification  

Science Conference Proceedings (OSTI)

Machine learning techniques for computer vision applications like object recognition, scene classification, etc., require a large number of training samples for satisfactory performance. Especially when classification is to be performed over many categories, ... Keywords: Training,Support vector machines,Training data,Noise,Accuracy,Learning systems,Couplings,object recognition,Active learning,scalable machine learning,multiclass classification

Ajay J. Joshi; Fatih Porikli; Nikos Papanikolopoulos

2012-11-01T23:59:59.000Z

120

DARPA Learning Applied to Ground Robots (LAGR)  

Science Conference Proceedings (OSTI)

DARPA Learning Applied to Ground Robots (LAGR) Project (Concluded). Summary: The National Institute of Standards ...

2012-01-04T23:59:59.000Z

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


121

Co-Lab: research and development of an online learning environment for collaborative scientific discovery learning  

Science Conference Proceedings (OSTI)

There are many design challenges that must be addressed in the development of collaborative scientific discovery learning environments. This contribution presents an overview of how these challenges were addressed within Co-Lab, a collaborative learning ... Keywords: Collaborative learning, Dynamic modeling, Inquiry learning, Learning environments

Wouter R. van Joolingen; Ton de Jong; Ard W. Lazonder; Elwin R. Savelsbergh; Sarah Manlove

2005-07-01T23:59:59.000Z

122

Productive use of learning resources in an online problem-based learning environment  

Science Conference Proceedings (OSTI)

This study examined students' use of learning resources in a technologically-mediated online learning environment. Undergraduate student groups were engaged in an online problem-based learning (PBL) environment, rich with pre-selected video and knowledge ... Keywords: Contrasting cases analysis, Knowledge resources, Learning resources, Online hypermedia environments, Problem-based learning (PBL), Video resources

Heisawn Jeong; Cindy E. Hmelo-Silver

2010-01-01T23:59:59.000Z

123

Instructional video in e-learning: assessing the impact of interactive video on learning effectiveness  

Science Conference Proceedings (OSTI)

Interactive video in an e-learning system allows proactive and random access to video content. Our empirical study examined the influence of interactive video on learning outcome and learner satisfaction in e-learning environments. Four different settings ... Keywords: e-learning, interactive video, learning effectiveness

Dongsong Zhang; Lina Zhou; Robert O. Briggs; Jay F. Nunamaker, Jr.

2006-01-01T23:59:59.000Z

124

Instructional video in e-learning: Assessing the impact of interactive video on learning effectiveness  

Science Conference Proceedings (OSTI)

Interactive video in an e-learning system allows proactive and random access to video content. Our empirical study examined the influence of interactive video on learning outcome and learner satisfaction in e-learning environments. Four different settings ... Keywords: E-learning, Interactive video, Learning effectiveness

Dongsong Zhang; Lina Zhou; Robert O. Briggs; Jay F. Nunamaker, Jr.

2006-01-01T23:59:59.000Z

125

Lessons Learned Quarterly Report | Department of Energy  

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

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

126

Lessons Learned Database | Department of Energy  

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

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

127

Learning a theory of causality  

E-Print Network (OSTI)

The very early appearance of abstract knowledge is often taken as evidence for innateness. We explore the relative learning speeds of abstract and specific knowledge within a Bayesian framework and the role for innate ...

Goodman, Noah D.

128

Lessons Learned | Department of Energy  

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

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

129

Designing technology enhanced learning contexts  

Science Conference Proceedings (OSTI)

Through iterative participatory design-based research I aim to explore the application of the Ecology of Resources (EoR) Framework (Luckin, 2008) to the design of technology enhanced contexts that scaffold learning and collaboration. Technology enhanced ...

Joshua Underwood

2009-06-01T23:59:59.000Z

130

Conditions for learning from animations  

Science Conference Proceedings (OSTI)

Animated diagrams representing dynamic systems hold great potential for improving the way people learn. However, so far the literature failed to find clear benefits of animated diagrams. Consequently it is worthwhile to investigate conditions under which ...

Herre Van Oostendorp; Michiel J. Beijersbergen; Sam Solaimani

2008-06-01T23:59:59.000Z

131

Learning for informative path planning  

E-Print Network (OSTI)

Through the combined use of regression techniques, we will learn models of the uncertainty propagation efficiently and accurately to replace computationally intensive Monte- Carlo simulations in informative path planning. ...

Park, Sooho, S.M. Massachusetts Institute of Technology

2008-01-01T23:59:59.000Z

132

Dynamic Pricing: A learning Approach  

E-Print Network (OSTI)

We present an optimization approach for jointly learning the demand as a functionof price, and dynamically setting prices of products in an oligopoly environment in order to maximize expected revenue. The models we consider ...

Bertsimas, Dimitris J.

133

Personal information management and learning  

Science Conference Proceedings (OSTI)

Students today collect and organise information on a daily basis in their PCs, laptops and mobiles, creating a personal information archive that contains items related to their learning tasks. Personal information management (PIM) is the activities users ...

Sharon Hardof-Jaffe; Rafi Nachmias

2011-02-01T23:59:59.000Z

134

Restricted Bayesian Network Structure Learning  

E-Print Network (OSTI)

Learning the structure of a Bayesian network from data is a difficult problem, as its associated search space is exponentially large. As a consequence, researchers have studied learning Bayesian networks with a fixed structure, notably naive Bayesian networks and tree-augmented Bayesian networks. There is substantial evidence in the literature that the performance of such restricted networks can be surprisingly good. In this paper, we propose a restricted, polynomial time structure learning algorithm that is not as restrictive as both other approaches, and allows researchers to determine the right balance between performance in dealing with classification, as well as with respect to quality of the underlying probability distribution. The results obtained with this algorithm allows drawing some conclusions with regard to Bayesian-network structure learning in general.

Peter Lucas

2002-01-01T23:59:59.000Z

135

Learning to resolve bridging references  

Science Conference Proceedings (OSTI)

We use machine learning techniques to find the best combination of local focus and lexical distance features for identifying the anchor of mereological bridging references. We find that using first mention, utterance distance, and lexical distance computed ...

Massimo Poesio; Rahul Mehta; Axel Maroudas; Janet Hitzeman

2004-07-01T23:59:59.000Z

136

Learning for deep language understanding  

Science Conference Proceedings (OSTI)

The paper addresses the problem of learning to parse sentences to logical representations of their underlying meaning, by inducing a syntactic-semantic grammar. The approach uses a class of grammars which has been proven to be learnable from representative ...

Smaranda Muresan

2011-07-01T23:59:59.000Z

137

Machine learning for software reuse  

Science Conference Proceedings (OSTI)

Recent work on learning apprentice systems suggests new approaches for using interactive programming environments to promote software reuse. Methodologies for software specification and validation yield natural domains of application for explanation-based ...

Walter L. Hill

1987-08-01T23:59:59.000Z

138

Implicit learning of semantic preferences  

E-Print Network (OSTI)

conditioning relies on conscious predictive relationships between events. In psychology, the putative demonstrations of implicit learning so far have predominantly been based on perceptual form-level regularities, e.g. letter sequences. This has led...

Paciorek, Albertyna

2013-04-16T23:59:59.000Z

139

: 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

140

Receiver System: Lessons Learned From Solar Two  

DOE Green Energy (OSTI)

The Boeing Company fabricated the Solar Two receiver as a subcontractor for the Solar Two project. The receiver absorbed sunlight reflected from the heliostat field. A molten-nitrate-salt heat transfer fluid was pumped from a storage tank at grade level, heated from 290 to 565 C by the receiver mounted on top of a tower, then flowed back down into another storage tank. To make electricity, the hot salt was pumped through a steam generator to produce steam that powered a conventional Rankine steam turbine/generator. This evaluation identifies the most significant Solar Two receiver system lessons learned from the Mechanical Design, Instrumentation and Control, Panel Fabrication, Site Construction, Receiver System Operation, and Management from the perspective of the receiver designer/manufacturer. The lessons learned on the receiver system described here consist of two parts: the Problem and one or more identified Solutions. The appendix summarizes an inspection of the advanced receiver panel developed by Boeing that was installed and operated in the Solar Two receiver.

LITWIN, ROBERT Z.; PACHECO, JAMES E.

2002-03-01T23:59:59.000Z

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.


141

NEPA Lessons Learned, September 2005  

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

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

142

A new introductory quantum mechanics curriculum  

E-Print Network (OSTI)

The Institute of Physics New Quantum Curriculum consists of freely available online learning and teaching materials (quantumphysics.iop.org) for a first course in university quantum mechanics starting from two-level systems. This approach immediately immerses students in inherently quantum mechanical aspects by focusing on experiments that have no classical explanation. It allows from the start a discussion of interpretive aspects of quantum mechanics and quantum information theory. This article gives an overview of the resources available at the IOP website. The core text is presented as around 80 articles co-authored by leading experts that are arranged in themes and can be used flexibly to provide a range of alternative approaches. Many of the articles include interactive simulations with accompanying activities and problem sets that can be explored by students to enhance their understanding. Much of the linear algebra needed for this approach is part of the resource. Solutions to activities are available ...

Kohnle, Antje; Browne, Dan; Everitt, Mark; Fomins, Aleksejs; Kok, Pieter; Kulaitis, Gytis; Prokopas, Martynas; Raine, Derek; Swinbank, Elizabeth

2013-01-01T23:59:59.000Z

143

MechanicalTesting  

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

structures, validation of encapsulant cure stress models, development of frac- ture mechanics tests for use in adhesion studies and understanding the failure mechanism of...

144

Activity Theory to Guide Online Collaborative Learning Instructional Design  

Science Conference Proceedings (OSTI)

Learning Management Systems LMS are facing challenges to improve its traditional focus on individual learning towards social learning. Despite the great success in distributing learning materials and managing students, the availability of the read and ... Keywords: Activity Theory, Computer-Supported Collaborative Learning, Instructional Design, Knowledge Building, Learning Management System, Online Collaborative Learning, Qualitative Method, Quantitative Method, Teachers Training

Siti Rosni Mohamad Yusoff, Nor Azan Mat Zin

2012-04-01T23:59:59.000Z

145

Emotional and aesthetic factors of virtual mobile learning environments  

Science Conference Proceedings (OSTI)

This paper discusses the theoretical starting points and design considerations for addressing the emotional and aesthetic aspects of Virtual Learning Environments (VLEs) in support of ubiquitous teaching, studying and learning. It is asserted ... Keywords: VLEs, aesthetics, communication, emotions, learning regulation, mobile learning, network-based learning, psychosocial regulation, ubiquitous learning, ubiquitous studying, virtual learning environments

Tom Page; Marian Hepburn; Miika Lehtonen; Gisli Thorsteinsson; Subramanian Arunachalam

2007-03-01T23:59:59.000Z

146

Planning to learn: Integrating model learning into a trajectory planner for mobile robots  

E-Print Network (OSTI)

For a mobile robot that performs online model learning, the learning rate is a function of the robot's trajectory. The tracking errors that arise when the robot executes a motion plan depend on how well the robot has learned ...

Hover, Franz S.

147

Lessons Learned Quarterly Report Archive | Department of Energy  

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

December 1, 2000 Lessons Learned Quarterly Report, December 2000 Welcome to the 25th quarterly report on lessons learned in the NEPA process. September 1, 2000 Lessons Learned...

148

Lessons Learned Quarterly Report Archive | Department of Energy  

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

Lessons Learned September 6, 2013 Lessons Learned Quarterly Report, September 2013 Welcome to the 76th quarterly report on lessons learned in the NEPA process. This issue...

149

Constructivist learning : an operational approach for designing adaptive learning environments supporting cognitive flexibility.  

E-Print Network (OSTI)

??Constructivism is a learning theory that states that people learn by actively constructing their own knowledge, based on prior knowledge. Many different perspectives exist on… (more)

Vu Minh, Chieu

2005-01-01T23:59:59.000Z

150

Mechanism of pressure welding  

SciTech Connect

Thesis. The mechanism in polycrystalline aluminum, copper, silver, and gold was investigated. (19 figures) (DLC)

Mohamed, H.A.E.F.

1973-12-01T23:59:59.000Z

151

CARTESIAN MECHANICS* Sophie Roux  

E-Print Network (OSTI)

1 CARTESIAN MECHANICS* Sophie Roux (Centre Alexandre Koyré, EHESS, Paris) Introduction For many the search for a mathematical treatment of phenomena, on the other hand the demand for mechanical as the typical mechanical philosopher, and contrasted as such to the founder of mechanics as a science, namely

Paris-Sud XI, Université de

152

INTRODUCTION TO THE MECHANICS  

E-Print Network (OSTI)

INTRODUCTION TO THE MECHANICS OF A CONTINUOUS MEDIUM Lawrence E. Malvern Professor of Mechanics princi- ples common to all branches of solid and fluid mechanics, designed to appeal to the intuition science. The book arose from the need to provide a general preparation in contin- uum mechanics

Kaminski, Edouard

153

Graduate quantum mechanics reform  

Science Conference Proceedings (OSTI)

We address four main areas in which graduatequantum mechanics education can be improved: course content

L. D. Carr; S. B. McKagan

2009-01-01T23:59:59.000Z

154

Dynamic Analysis of Learning in Behavioral Experiments  

E-Print Network (OSTI)

Understanding how an animal’s ability to learn relates to neural activity or is altered by lesions, different attentional states, pharmacological interventions, or genetic manipulations are central questions in neuroscience. Although learning is a dynamic process, current analyses do not use dynamic estimation methods, require many trials across many animals to establish the occurrence of learning, and provide no consensus as how best to identify when learning has occurred. We develop a state–space model paradigm to characterize learning as the probability of a correct response as a function of trial number (learning curve). We compute the learning curve and its confidence intervals using a state–space smoothing algorithm and define the learning trial as the first trial on which there is reasonable certainty (?0.95) that a subject performs better than chance for the balance of the experiment. For a range of simulated learning experiments, the smoothing algorithm estimated learning curves with smaller mean integrated squared error and identified the learning trials with greater reliability than commonly used methods. The smoothing algorithm tracked easily the rapid learning of a monkey during a single session of an association learning experiment and identified learning 2 to 4 d earlier than accepted criteria for a rat in a 47 d procedural learning experiment. Our state–space paradigm estimates learning curves for single animals, gives a precise definition of learning, and suggests a coherent statistical framework for the design and analysis of learning experiments that could reduce the number of animals and trials per animal that these studies require.

Anne C. Smith; Loren M. Frank; Sylvia Wirth; Marianna Yanike; Dan Hu; Yasuo Kubota; Ann M. Graybiel; Wendy A. Suzuki; Emery N. Brown

2004-01-01T23:59:59.000Z

155

Learning and Development | Department of Energy  

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

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

156

Lessons Learned from Safety Events  

SciTech Connect

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

Weiner, Steven C.; Fassbender, Linda L.

2012-11-01T23:59:59.000Z

157

NSLS Mechanical Tech  

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

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

158

The suitability of kinesthetic learning activities for teaching distributed algorithms  

Science Conference Proceedings (OSTI)

Kinesthetic learning is a process in which students learn by actively carrying out physical activities rather than by passively listening to lectures. Pedagogical research indicates that kinesthetic learning is a fundamental, powerful, and ubiquitous ... Keywords: active learning, concurrency, pedagogy, reasoning

Paolo A. G. Sivilotti; Scott M. Pike

2007-03-01T23:59:59.000Z

159

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

160

Simulation-assisted inductive learning  

Science Conference Proceedings (OSTI)

Learning by induction can require a large number of training examples. We show the power of using a simulator to generate training data and test data in learning rules for an expert system. The induction program is RL, a simplified version of Meta-DENDRAL. The expert system is ABLE, a rule-based system that identifies and located errors in particle beam lines used in high energy physics. A simulator of beam lines allowed forming and testing rules on sufficient numbers of cases that ABLE's performance is demonstrably accurate and precise. 13 refs., 2 figs.

Buchanan, B.G.; Sullivan, J.; Cheng, Tze-Pin; Clearwater, S.H.

1988-01-01T23:59:59.000Z

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


161

Active learning via transductive experimental design  

Science Conference Proceedings (OSTI)

This paper considers the problem of selecting the most informative experiments x to get measurements y for learning a regression model y = f(x). We propose a novel and simple concept for active learning, transductive experimental ...

Kai Yu; Jinbo Bi; Volker Tresp

2006-06-01T23:59:59.000Z

162

Essays on finance, learning, and macroeconomics  

E-Print Network (OSTI)

This thesis consists of four essays on finance, learning, and macroeconomics. The first essay studies whether learning can explain why the standard consumption-based asset pricing model produces large pricing errors for ...

Doyle, Joseph Buchman, Jr

2012-01-01T23:59:59.000Z

163

Lessons Learned from the QA Summit  

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

Table 1 Corporate Analysis of Key InsightsLessons Learned Shared During the EM QA Summit February 17, 2011 Oak Ridge, TN InsightsLessons Learned Description 1 Related...

164

Providing Dynamic Instructional Adaptation in Programming Learning  

Science Conference Proceedings (OSTI)

This paper describes an approach to create an Intelligent Tutoring System that provides dynamic personalization and learning activities sequencing adaptation by combining eLearning standards and Artificial Intelligent techniques. The work takes advantage ...

Francisco Jurado; Olga C. Santos; Miguel A. Redondo; Jesús G. Boticario; Manuel Ortega

2008-09-01T23:59:59.000Z

165

Enhancing E-Learning with Interactive Multimedia  

Science Conference Proceedings (OSTI)

Nowadays, multimedia-based e-Learning systems have become widely available. Many systems, however, provide little interactivity to learners. E-Learners do not have much control over learning content and process to meet their individual needs. Therefore, ...

Dongsong Zhang; Lina Zhou

2003-10-01T23:59:59.000Z

166

Learning to search: Functional gradient techniques for imitation learning  

Science Conference Proceedings (OSTI)

Programming robot behavior remains a challenging task. While it is often easy to abstractly define or even demonstrate a desired behavior, designing a controller that embodies the same behavior is difficult, time consuming, and ultimately expensive. ... Keywords: Autonomous navigation, Functional gradient techniques, Grasping, Imitation learning, Nonparametric optimization, Planning, Quadrupedal locomotion, Robotics, Structured prediction, Subgradient methods

Nathan D. Ratliff; David Silver; J. Andrew Bagnell

2009-07-01T23:59:59.000Z

167

Game-based learning with computers: learning, simulations, and games  

Science Conference Proceedings (OSTI)

For developing a sophisticated game-based training system it is important to consider both, the technical aspects of game development (i.e. games engineering) as well as the pedagogical aspects of games and technology enhanced learning (i.e. game didactics). ...

Alke Martens; Holger Diener; Steffen Malo

2008-01-01T23:59:59.000Z

168

2008. Approximating learning curves for active-learning-driven annotation  

E-Print Network (OSTI)

Active learning (AL) is getting more and more popular as a methodology to considerably reduce the annotation effort when building training material for statistical learning methods for various NLP tasks. A crucial issue rarely addressed, however, is when to actually stop the annotation process to profit from the savings in efforts. This question is tightly related to estimating the classifier performance after a certain amount of data has already been annotated. While learning curves are the default means to monitor the progress of the annotation process in terms of classifier performance, this requires a labeled gold standard which – in realistic annotation settings, at least – is often unavailable. We here propose a method for committee-based AL to approximate the progression of the learning curve based on the disagreement among the committee members. This method relies on a separate, unlabeled corpus and is thus well suited for situations where a labeled gold standard is not available or would be too expensive to obtain. Considering named entity recognition as a test case we provide empirical evidence that this approach works well under simulation as well as under real-world annotation conditions. 1.

Katrin Tomanek; Udo Hahn

2008-01-01T23:59:59.000Z

169

The Department of Mechanical Engineering --Engineering Mechanics  

E-Print Network (OSTI)

, Missile, Research, Development and Engineering Directorate's Propulsion Iaborato'. Ills primaly areas of research are in numerical combustion, and the thermal and mechanical aging ofnitrate esterpropellants decomposition and combustion. Stabilizers are added to the propellants to neutralize the decomposition products

Endres. William J.

170

Learning by teaching with virtual peers and the effects of technological design choices on learning  

Science Conference Proceedings (OSTI)

Advancements in technology have brought about new forms of learning and online instruction that allow communication through virtual representations without physically meeting in person. This study builds on previous work involving recursive feedback ... Keywords: Computer-mediated communication, Cooperative/collaborative learning, Interactive learning environments, Teaching/learning strategies, Virtual reality

Sandra Y. Okita; Selen Turkay; Mihwa Kim; Yumiko Murai

2013-04-01T23:59:59.000Z

171

Blended learning and pure e-learning concepts for information retrieval: experiences and future directions  

Science Conference Proceedings (OSTI)

Today, teaching and learning are mostly supported by digital material and electronic communication ranging from the provision of slides or scripts in digital form to elaborate, interactive learning environments. This article describes the prospects and ... Keywords: Blended learning, Interaction, Teaching information retrieval, e-Learning

Andreas Henrich; Stefanie Sieber

2009-04-01T23:59:59.000Z

172

A new structure of online learning environment to support the professional learning  

Science Conference Proceedings (OSTI)

The online learning environment (OLE) is an essential element in using information and communication technology (ICT) for learning and instruction. This paper proposed a new structure of an OLE for design professional domain that tried to integrate the ... Keywords: e-learning, online community, online learning environment, social network

Wenzhi Chen; Yu-How Lin

2011-07-01T23:59:59.000Z

173

Lessons Learned from Independent Verification Activities | Department...  

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

control after the property has been demonstrated to meet the Department's stringent radiation protection requirements. Lessons Learned from Independent Verification...

174

Moths with a Nose for Learning  

Science Conference Proceedings (OSTI)

Moths with a Nose for Learning. ... Associations or meanings are formed when a connection is perceived among mental representations. ...

2013-07-11T23:59:59.000Z

175

Survey and analysis of current mobile learning applications and technologies  

Science Conference Proceedings (OSTI)

Distance learning, electronic learning, and mobile learning offer content, methods, and technologies that decrease the limitations of traditional education. Mobile learning (m-learning) is an extension of distance education, supported by mobile devices ... Keywords: Mobile learning, mobile applications, mobile computing

Orlando R. E. Pereira, Joel J. P. C. Rodrigues

2013-11-01T23:59:59.000Z

176

Reusable learning objects: a survey of LOM-based repositories  

Science Conference Proceedings (OSTI)

In this paper, we survey the field of learning object repositories. Learning objects are typically relatively small content components that are meant to be reusable in different contexts. Associated to these learning objects are metadata, so that they ... Keywords: Learning Object Metadata (LOM), digital libraries, learning object repositories, metadata, reusable learning objects

Filip Neven; Erik Duval

2002-12-01T23:59:59.000Z

177

Brief An adaptive PID learning control of robot manipulators  

Science Conference Proceedings (OSTI)

An adaptive PID learning controller which consists of an adaptive PID feedback control scheme and a feedforward input learning scheme is proposed for learning of periodic robot motion. In the learning controller, the adaptive PID feedback controller ... Keywords: Adaptive PID learning, Learning rules, Robot motion control

Tae-Yong Kuc; Woong-Gie Han

2000-05-01T23:59:59.000Z

178

Environmental Restoration Disposal Facility Lessons Learned  

SciTech Connect

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 ERDF’s ARRA-funded expansion project.

Caulfield, R.

2012-07-12T23:59:59.000Z

179

Strategies in Combined Learning via Logic Programs  

Science Conference Proceedings (OSTI)

We discuss the adoption of a three-valued setting for inductive concept learning. Distinguishing between what is true, what is false and what is unknown can be useful in situations where decisions have to be taken on the basis of scarce, ambiguous, ... Keywords: contradiction handling, explicit negation, inductive logic programming, multi-strategy learning, non-monotonic learning

Evelina Lamma; Fabrizio Riguzzi; Luís Moniz Pereira

2000-01-01T23:59:59.000Z

180

Accelerating evolution via egalitarian social learning  

Science Conference Proceedings (OSTI)

Social learning is an extension to evolutionary algorithms that enables agents to learn from observations of others in the population. Historically, social learning algorithms have employed a student-teacher model where the behavior of one or more high-fitness ...

Wesley Tansey; Eliana Feasley; Risto Miikkulainen

2012-07-01T23:59:59.000Z

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.


181

Local discriminative distance metrics ensemble learning  

Science Conference Proceedings (OSTI)

The ultimate goal of distance metric learning is to incorporate abundant discriminative information to keep all data samples in the same class close and those from different classes separated. Local distance metric methods can preserve discriminative ... Keywords: Distance metrics learning, Local learning

Yang Mu; Wei Ding; Dacheng Tao

2013-08-01T23:59:59.000Z

182

A field study of API learning obstacles  

Science Conference Proceedings (OSTI)

Large APIs can be hard to learn, and this can lead to decreased programmer productivity. But what makes APIs hard to learn? We conducted a mixed approach, multi-phased study of the obstacles faced by Microsoft developers learning a wide variety of new ... Keywords: Application programming interfaces, Documentation, Programming, Software libraries

Martin P. Robillard; Robert Deline

2011-12-01T23:59:59.000Z

183

Machine learning in space: extending our reach  

Science Conference Proceedings (OSTI)

We introduce the challenge of using machine learning effectively in space applications and motivate the domain for future researchers. Machine learning can be used to enable greater autonomy to improve the duration, reliability, cost-effectiveness, and ... Keywords: Autonomy, Machine learning applications, Space missions

Amy Mcgovern; Kiri L. Wagstaff

2011-09-01T23:59:59.000Z

184

Learning molecular biology by VR playing  

Science Conference Proceedings (OSTI)

Learning by playing is one of the natural way for knowledge and skill acquisition. This paper addresses the issue of learning molecular biology by Virtual Reality (VR) based playing. A software system MolecularStudio is developed using the VR Technology ... Keywords: VR, biology, computer game, learning, playing

BF Lu; KT Lim; JM Zheng; YY Cai

2004-06-01T23:59:59.000Z

185

QUICK QUANTUM MECHANICS ---Introduction ---  

E-Print Network (OSTI)

QUICK QUANTUM MECHANICS --- Introduction --- The following notes are intended to be a supplement to your study of Liboff's ``Introductory Quantum Mechanics.'' They are not an alternative! My purpose here of Classical Mechanics After Newton found his equations of motion, physicists knew they would have to wait

Jackson, Andrew D.

186

Learning python programming, First edition  

Science Conference Proceedings (OSTI)

In this training course from expert programmer and author Mike McMillan, you will learn how to program with the popular development language, Python. This tutorial is designed for the beginner, and you do not need to have any experience at all with programming ...

Mike McMillan

2012-07-01T23:59:59.000Z

187

Field observations and lessons learned  

SciTech Connect

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

Nielsen, Joh B [Los Alamos National Laboratory

2010-01-01T23:59:59.000Z

188

ML-KNN: A lazy learning approach to multi-label learning  

Science Conference Proceedings (OSTI)

Multi-label learning originated from the investigation of text categorization problem, where each document may belong to several predefined topics simultaneously. In multi-label learning, the training set is composed of instances each associated with ... Keywords: Functional genomics, K-nearest neighbor, KNN, K-nearest neighbor, Lazy learning, MAP, maximum a posteriori, ML-KNN, multi-label K-nearest neighbor, Machine learning, Multi-label learning, Natural scene classification, PMM, parametric mixture model, Text categorization

Min-Ling Zhang; Zhi-Hua Zhou

2007-07-01T23:59:59.000Z

189

HYDRAULIC SERVO CONTROL MECHANISM  

DOE Patents (OSTI)

A hydraulic servo control mechanism of compact construction and low fluid requirements is described. The mechanism consists of a main hydraulic piston, comprising the drive output, which is connected mechanically for feedback purposes to a servo control piston. A control sleeve having control slots for the system encloses the servo piston, which acts to cover or uncover the slots as a means of controlling the operation of the system. This operation permits only a small amount of fluid to regulate the operation of the mechanism, which, as a result, is compact and relatively light. This mechanism is particuiarly adaptable to the drive and control of control rods in nuclear reactors. (auth)

Hussey, R.B.; Gottsche, M.J. Jr.

1963-09-17T23:59:59.000Z

190

Contribution of the Peripheral Nervous System to Instrumental Learning and Performance  

E-Print Network (OSTI)

Previous research has demonstrated that the spinal cord is capable of a simple form of instrumental learning. In this instrumental learning paradigm, rats typically receive a complete spinal transection at the second thoracic vertebra, and are tested 24 hours after surgery. Subjects that receive shock to a hind leg quickly learn to maintain the leg in a flexed position, which reduces net shock exposure (Grau et al., 1998). Prior studies have examined the mechanisms that mediate this learning, but little is known about how or where the consequences of learning are stored (memory). The goal of this dissertation proposal is to examine the neural modification(s) that preserve learned behavioral effects over time. It is clear that the central nervous system plays an essential role in instrumental learning. During the acquisition of instrumental learning, the connections between the peripheral nervous system (PNS) and the central nervous system must remain intact (Crown et al., 2002a). Acquisition is also disrupted by intrathecal application of pharmacological agents (lidocaine) that inhibit spinal reflexes (Crown et al., 2002a). The experiments outlined in this dissertation are motivated by an unexpected observation: while application of lidocaine to the spinal cord prior to training blocks acquisition of the instrumental response, inactivating spinal neurons has no effect on the maintenance of the instrumental response. These data suggest that, after the instrumental response is acquired, a peripheral component is capable of maintaining the instrumental response. Aim 1 examined how inhibiting the spinal cord influenced the maintenance of instrumental learning. Intrathecal lidocaine inhibited a spinal withdrawal reflex and instrumental learning, but did not affect the maintenance of the learned response. Expanding on these results, Aim 2 examined how disconnecting the PNS from the spinal cord would influence the maintenance of instrumental learning. If a PNS to spinal cord connection is needed for the maintenance of instrumental learning, then removing that connection by a sciatic transection should disrupt performance of the instrumental response. Together, the results of Aims 1 & 2 confirm that a peripheral alteration contributions to the maintenance of instrumental behavior. In Aim 3, I developed a procedure that would allow for drug delivery directly to the tibialis anterior muscle. If the neuromuscular junction is capable of influencing a spinal reflex, then blocking the neuromuscular junction with an antagonist (curare) should disrupt the acquisition and maintenance of the instrumental response. Based on the results of Aim 3, Aim 4 investigated how other pharmacological manipulations at the neuromuscular junction can influence the acquisition and maintenance of the instrumental response. Using glutamate receptor antagonists (CNQX and MK-801), I showed that glutamatergic signaling plays an essential role.

Hoy, Kevin

2011-08-01T23:59:59.000Z

191

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.

1999-06-18T23:59:59.000Z

192

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

193

3D environments as social learning tools: the VIRTU@LIS experience  

Science Conference Proceedings (OSTI)

New forms of dialogue and new mechanisms for introducing scientific issues to non-scientific audiences call for radical design of interfaces between the scientific processes and products and the audiences. In VIRTU@LIS we have explored further the use ... Keywords: 3D, ICT, climate change, convivial social learning tools, fisheries, game

Tiago de Sousa Pedrosa; Âgela Guimarães Pereira; Nuno Cardoso; Manuel Costa; Tiago Carita; Edmundo Nobre; Pedro Pedrosa; Nuno Capeta; Sérgio Estêvão

2005-07-01T23:59:59.000Z

194

A reinforcement learning approach to autonomous decision-making in smart electricity markets  

Science Conference Proceedings (OSTI)

The vision of a Smart Electric Grid relies critically on substantial advances in intelligent decentralized control mechanisms. We propose a novel class of autonomous broker agents for retail electricity trading that can operate in a wide range of Smart ... Keywords: Energy brokers, Feature selection, Reinforcement learning, Smart electricity grid, Trading agents

Markus Peters; Wolfgang Ketter; Maytal Saar-Tsechansky; John Collins

2013-07-01T23:59:59.000Z

195

Stakeholder Engagement and Outreach: Lessons Learned  

Wind Powering America (EERE)

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

196

Lessons Learned from the NREL Village Power Program  

DOE Green Energy (OSTI)

Renewable energy solutions for village power applications can be economical, functional, and sustainable. Pilot projects are an appropriate step in the development of a commercially viable market for rural renewable energy solutions. Moreover, there are a significant number of rural electrification projects under way that employ various technologies, delivery mechanisms, and financing arrangements. These projects, if properly evaluated, communicated, and their lessons incorporated in future projects and programs, can lead the way to a future that includes a robust opportunity for cost-effective, renewable-based village power systems. This paper summarizes some of NRELs recent experiences and lessons learned.

Taylor, R.

1998-07-01T23:59:59.000Z

197

Educational Programs Learning Lab Activities  

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

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

198

What China Can Learn from  

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

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

199

Quality Assurance Lessons Learned 2010  

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

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

200

Learn Gapminder | Open Energy Information  

Open Energy Info (EERE)

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

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

NEPA Lessons Learned, June 2004  

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

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

202

Mechanics of Funding matrix  

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

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

203

Mechanical Behavior II  

Science Conference Proceedings (OSTI)

Mar 5, 2013 ... Impact of Cooling Rate on Low Silver Sn-Ag-Cu Solder Interconnect Board Level Mechanical Shock and Thermal Cycling Performance: ...

204

Structures and Mechanical Properties  

Science Conference Proceedings (OSTI)

Mar 7, 2013... Refractory High-entropy Alloy: Chien-Chang Juan1; Jien-Wei Yeh1; ... The main wear mechanism was adhesive wear in deionized water, ...

205

Mechanical Behavior I  

Science Conference Proceedings (OSTI)

Mar 5, 2013... (IMC) is essential for understandingthe mechanical behavior of the ... Reliability and by the SHaRE User Facility, Scientific User Facilities ...

206

Mecanica Clasica (Classical Mechanics)  

E-Print Network (OSTI)

First Internet undergraduate course on Classical Mechanics in Spanish (Castellano). This is about 80% of the material I covered during the January-June 1999 semester at IFUG in the Mexican city of Leon. English and Romanian versions are in (slow) progress and hopefully will be arXived. For a similar course on Quantum Mechanics, see physics/9808031

Rosu, H C

1999-01-01T23:59:59.000Z

207

Quantum Mechanics Measurements, Mutually  

E-Print Network (OSTI)

Quantum Mechanics Measurements, Mutually Unbiased Bases and Finite Geometry Or why six is the first) #12;Quantum Mechanics for Dummies Finite dimensional quantum states are represented by trace one,1 -icS1,1[ ] #12;Quantum systems evolve and are measured. The evolution of a quantum system using

Gruner, Daniel S.

208

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

209

Structural Mechanics & Solid Mechanics A finite element toolbox to MATLAB  

E-Print Network (OSTI)

Structural Mechanics & Solid Mechanics Department of Mechanics and Materials CALFEM A finite.3 Copyright © 1999 by Structural Mechanics, LTH, Sweden. Printed by JABE Offset, Lund, Sweden. ISRN LUTVDG/TVSM--99/9001--SE (1-265) ISSN 0281-6679 Department of Mechanics and Materials Structural Mechanics #12;The

Ehrhardt, Matthias

210

Learning to troubleshoot: Multistrategy learning of diagnostic knowledge for a real-world problem solving task  

E-Print Network (OSTI)

This article presents a computational model of the learning of diagnostic knowledge based on observations of human operators engaged in a real-world troubleshooting task. We present a model of problem solving and learning in which the reasoner introspects about its own performance on the problem solving task, identifies what it needs to learn to improve its performance, formulates learning goals to acquire the required knowledge, and pursues its learning goals using multiple learning strategies. The model is implemented in a computer system which provides a case study based on observations of troubleshooting operators and protocol analysis of the data gathered in the test area of an operational electronics manufacturing plant. The model is intended as a computational model of human learning; in addition, it is computationally justified as a uniform, extensible framework for multistrategy learning. Technical Report GIT-CC-93/67, College of Computing, Georgia Institute of Technology, A...

Ashwin Ram

1993-01-01T23:59:59.000Z

211

Producing multimedia pills to stimulate student learning and engagement  

Science Conference Proceedings (OSTI)

A student-centred learning approach (SCL) plays an essential role in the European Higher Education Area. Most students tend to reach a higher level of understanding in learning activities they developed themselves using this approach. In contrast, most ... Keywords: learning outcomes, multimedia learning pills, student experiments, student-centred learning

Elena Sánchez-Nielsen

2013-07-01T23:59:59.000Z

212

Argument based machine learning in a medical domain  

Science Conference Proceedings (OSTI)

Argument Based Machine Learning (ABML) is a new approach to machine learning in which the learning examples can be accompanied by arguments. The arguments for specific examples are a special form of expert's knowledge which the expert uses to substantiate ... Keywords: Argument Based Machine Learning, Bacterial Infections, Geriatric Population, Rule Learning

Jure Žabkar; Martin Možina; Jerneja Vide?nik; Ivan Bratko

2006-05-01T23:59:59.000Z

213

Using mobile devices to support online collaborative learning  

Science Conference Proceedings (OSTI)

Mobile collaborative learning is considered the next step of on-line collaborative learning by incorporating mobility as a key and breakthrough requirement. Indeed, the current wide spread of mobile devices and wireless technologies brings an enormous ... Keywords: Mobile collaborative learning, behaviorism, constructivism, mobile technologies, pervasiveness, situated learning, social learning, ubiquity

Santi Caballé; Fatos Xhafa; Leonard Barolli

2010-01-01T23:59:59.000Z

214

Embedding your Green Message through Asynchronous Learning  

E-Print Network (OSTI)

Greensboro, USA Electronic Green Journal, Issue 32, FallEducator. Electronic Green Journal, 1( 25). Retrieved from:Embedding your Green Message through Asynchronous Learning

Filar Williams, Beth

2011-01-01T23:59:59.000Z

215

NREL: Learning - Student Resources on Renewable Energy  

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

Solar energy Concentrating solar power systems Passive solar heating Photovoltaic (solar cell) systems Solar hot water Wind energy Printable Version Learning About Renewable...

216

Migratory Bird Treaty Act: Lessons Learned  

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

January 17, 2013 1 THERESA ALDRIDGE, PACIFIC NORTHWEST SITE OFFICE NEPA Compliance Office Richland Washington Migratory Bird Treaty Act: Lessons Learned Along with 800 other...

217

Industrial Learning in Non-Ferrous Smelting  

Science Conference Proceedings (OSTI)

... always equally astonishing how much more there is to be learnt. Our industry has demonstrated impressive industrial learning curves. Proceedings Inclusion?

218

Safe Feature Elimination in Sparse Supervised Learning  

E-Print Network (OSTI)

Sep 17, 2010 ... learning problems involving a convex loss function and a l1-norm penalty, ...... The curves represent the differences between the number of.

219

Bayesian Generic Priors for Causal Learning  

E-Print Network (OSTI)

informal argumenta- tion: A Bayesian approach to reasoningcausal learning using Bayesian generic priors on generativeHolyoak, K. J. (2007). Bayesian models of judgments of

Lu, Hongjing; Yuille, Alan L.; Liljeholm, Mimi; Cheng, Patricia W.; Holyoak, Keith J.

2008-01-01T23:59:59.000Z

220

Bayesian Generic Priors for Causal Learning  

E-Print Network (OSTI)

informal argumenta- tion: A Bayesian approach to reasoningcausal learning using Bayesian generic priors on generativeHolyoak, K. J. (2007). Bayesian models of judgments of

Hongjing Lu; Alan L. Yuille; Mimi Liljeholm; Patricia W. Cheng; Keith J. Holyoak

2011-01-01T23:59:59.000Z

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.


221

Event:SD-Learning | Open Energy Information  

Open Energy Info (EERE)

The courses aim at providing participants with practical knowledge and hands-on training from experts around the world. Event Details Name SD-Learning Date 20120613...

222

Successful Project Financing Mechanisms: ESPCs and UESCs Webinar |  

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

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

223

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

Open Energy Info (EERE)

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

224

A deterministic crowding evolutionary algorithm to form learning teams in a collaborative learning context  

Science Conference Proceedings (OSTI)

The aim of forming collaborative learning teams is that participating students acquire new knowledge and skills through the interaction with their peers. To reach this aim, teachers usually utilize a grouping criterion based on the students' roles and ... Keywords: Collaborative learning, Evolutionary algorithms, Learning team formation, Roles

Virginia Yannibelli; Analía Amandi

2012-08-01T23:59:59.000Z

225

Learning to suggest: a machine learning framework for ranking query suggestions  

Science Conference Proceedings (OSTI)

We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probability that a user may find a follow-up query both useful and relevant, ... Keywords: machine learning, query log mining, query suggestion, search assistance

Umut Ozertem; Olivier Chapelle; Pinar Donmez; Emre Velipasaoglu

2012-08-01T23:59:59.000Z

226

Technology enhanced language learning: student motivation in computer assisted language learning  

Science Conference Proceedings (OSTI)

The aim of this paper is to present a new investigation on the impact of implementing technology on Bulgarian students' motivation after a Computer Assisted Language Learning (CALL) course. It suggests designing and applying instruments for assessing ... Keywords: computer assisted language learning (CALL), information and communication technologies, student motivation, web-based language learning

Anelly Kremenska

2007-06-01T23:59:59.000Z

227

Rotary mechanical latch  

Science Conference Proceedings (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

228

Quantum Mechanics Without Observers  

E-Print Network (OSTI)

The measurement problem and the role of observers have plagued quantum mechanics since its conception. Attempts to resolve these have introduced anthropomorphic or non-realist notions into physics. A shift of perspective based upon process theory and utilizing methods from combinatorial games, interpolation theory and complex systems theory results in a novel realist version of quantum mechanics incorporating quasi-local, nondeterministic hidden variables that are compatible with the no-hidden variable theorems and relativistic invariance, and reproduce the standard results of quantum mechanics to a high degree of accuracy without invoking observers.

W. H. Sulis

2013-02-18T23:59:59.000Z

229

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

230

Electronic door locking mechanism  

SciTech Connect

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

231

Is quantum mechanics exact?  

SciTech Connect

We formulate physically motivated axioms for a physical theory which for systems with a finite number of degrees of freedom uniquely lead to quantum mechanics as the only nontrivial consistent theory. Complex numbers and the existence of the Planck constant common to all systems arise naturally in this approach. The axioms are divided into two groups covering kinematics and basic measurement theory, respectively. We show that even if the second group of axioms is dropped, there are no deformations of quantum mechanics which preserve the kinematic axioms. Thus, any theory going beyond quantum mechanics must represent a radical departure from the usual a priori assumptions about the laws of nature.

Kapustin, Anton [California Institute of Technology, Pasadena, California 91125 (United States)] [California Institute of Technology, Pasadena, California 91125 (United States)

2013-06-15T23:59:59.000Z

232

Counter Current Multiplier Mechanism  

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

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

233

Mechanical Testing of Plastics  

Science Conference Proceedings (OSTI)

Table 7   ASTM and ISO mechanical test standards for plastics...by pendulum method D 1938 6383-1 Tear propagation resistance of plastic film and thin

234

Conservative-Bayesian Mechanisms  

E-Print Network (OSTI)

We put forward a new class of mechanisms. In this extended abstract, we exemplify our approach only for single-good auctions in what we call a conservative-Bayesian setting. (Essentially, no common-knowledge about the ...

Azar, Pablo

2010-09-08T23:59:59.000Z

235

A Cognitive Approach to e-Learning  

Science Conference Proceedings (OSTI)

Like traditional classroom instruction, distributed learning derives from passive training paradigms. Just as student-centered classroom teaching methods have been applied over several decades of classroom instruction, interactive approaches have been encouraged for distributed learning. While implementation of multimedia-based training features may appear to produce active learning, sophisticated use of multimedia features alone does not necessarily enhance learning. This paper describes the results of applying cognitive science principles to enhance learning in a student-centered, distributed learning environment, and lessons learned in developing and delivering this training. Our interactive, scenario-based approach exploits multimedia technology within a systematic, cognitive framework for learning. The basis of the application of cognitive principles is the innovative use of multimedia technology to implement interaction elements. These simple multimedia interactions, which are used to support new concepts, are later combined with other interaction elements to create more complex, integrated practical exercises. This technology-based approach may be applied in a variety of training and education contexts, but is especially well suited for training of equipment operators and maintainers. For example, it has been used in a sustainment training application for the United States Army's Combat Support System Automated Information System Interface (CAISI). The CAISI provides a wireless communications capability that allows various logistics systems to communicate across the battlefield. Based on classroom training material developed by the CAISI Project Office, the Pacific Northwest National Laboratory designed and developed an interactive, student-centered distributed-learning application for CAISI operators and maintainers. This web-based CAISI training system is also distributed on CD media for use on individual computers, and material developed for the computer-based course can be used in the classroom. In addition to its primary role in sustainment training, this distributed learning course can complement or replace portions of the classroom instruction, thus supporting a blended learning solution.

Greitzer, Frank L.; Rice, Douglas M.; Eaton, Sharon L.; Perkins, Michael C.; Scott, Ryan T.; Burnette, John R.; Robertson, Sarah R.

2003-12-01T23:59:59.000Z

236

College of Learning and Workforce Development | Department of Energy  

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

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

237

Wireless bridges : the laptop experience in the learning environment  

E-Print Network (OSTI)

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

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

2003-01-01T23:59:59.000Z

238

Policy iteration based on a learned transition model  

Science Conference Proceedings (OSTI)

This paper investigates a reinforcement learning method that combines learning a model of the environment with least-squares policy iteration (LSPI). The LSPI algorithm learns a linear approximation of the optimal state-action value function; the idea ...

Vivek Ramavajjala; Charles Elkan

2012-09-01T23:59:59.000Z

239

Cognitive styles and hypermedia navigation: development of a learning model  

Science Conference Proceedings (OSTI)

There has been an increased growth in the use of hypermedia to deliver learning and teaching material. However, much remains to be learned about how different learners perceive such systems. Therefore, it is essential to build robust learning models ...

Sherry Y. Chen; Robert D. Macredie

2002-01-01T23:59:59.000Z

240

REACTOR CONTROL MECHANISM  

DOE Patents (OSTI)

A quick-releasing mechanism is described which may be used to rapidiy drop a device supported from beneath during normal use, such as a safety rod in a nuclear reactor. In accordance with this invention an electrical control signal, such as may be provided by radiation detection or other alarm condition sensing devices, is delivered to an electromagnetic solenoid, the armature of which is coupled to an actuating mechanism. The solenoid is energized when the mechanism is in its upper or cocked position. In such position, the mechanism engages a plurality of retaining balls, forcing them outward into engagement with a shoulder or recess in a corresponding section of a tubular extension on the upheld device. When the control signal to the solenoid suddenly ceases, the armature drops out, allowing the actuating mechanism to move slightly but rapidly under the force of a compressed spring. The weight of the device will urge the balls inward against a beveled portion of the actuating mechanism and away from the engaging section on the tubular extension, thus allowing the upheld device to fall freely under the influence of gravity.

Lane, J.A.; Engberg, R.E.; Welch, J.M.

1959-05-12T23:59:59.000Z

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.


241

Power, Status, and Learning in Organizations  

Science Conference Proceedings (OSTI)

This paper reviews the scholarly literature on the effects of social hierarchy---differences in power and status among organizational actors---on collective learning in organizations and groups. We begin with the observation that theories of organization ... Keywords: organizational and group learning, power and status, social hierarchy

J. Stuart Bunderson; Ray E. Reagans

2011-09-01T23:59:59.000Z

242

Towards Utopia: designing tangibles for learning  

Science Conference Proceedings (OSTI)

We describe a tangible user interface-based learning environment for children called Towards Utopia. The environment was designed to enable children, aged seven to ten, to actively construct knowledge around concepts related to land use planning ... Keywords: children, design, learning, sustainability, sustainability education, tangible computing, tangible user interfaces

Alissa N. Antle; Alyssa F. Wise; Kristine Nielsen

2011-06-01T23:59:59.000Z

243

NEPA Lessons Learned December 2010 1  

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

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

244

Improving vehicle aeroacoustics using machine learning  

Science Conference Proceedings (OSTI)

This paper presents a new approach to improving the overall aeroacoustic comfort of a vehicle, an important feature of vehicle design. The traditional improvement process is extended to benefit extensively from machine learning, information retrieval ... Keywords: Aeroacoustics, Automobile industry, Machine learning, Noise frequency spectrum analysis, Process automation

Damjan Kunar; Martin Moina; Marina Giordanino; Ivan Bratko

2012-08-01T23:59:59.000Z

245

Achieving autonomous power management using reinforcement learning  

Science Conference Proceedings (OSTI)

System level power management must consider the uncertainty and variability that come from the environment, the application and the hardware. A robust power management technique must be able to learn the optimal decision from past events and improve ... Keywords: Power management, computer, machine learning, thermal management

Hao Shen; Ying Tan; Jun Lu; Qing Wu; Qinru Qiu

2013-03-01T23:59:59.000Z

246

Empirical studies in learning to read  

Science Conference Proceedings (OSTI)

In this paper, we present empirical results on the challenge of learning to read. That is, given a handful of examples of the concepts and relations in an ontology and a large corpus, the system should learn to map from text to the concepts/relations ...

Marjorie Freedman; Edward Loper; Elizabeth Boschee; Ralph Weischedel

2010-06-01T23:59:59.000Z

247

Adaptive learning for event modeling and characterization  

Science Conference Proceedings (OSTI)

Adaptive learning of specific patterns or events of interest has been an area of significant research for various applications in the last two decades. In developing diagnostic evaluation and safety monitoring applications of a propulsion system, it ... Keywords: Adaptive learning, Event modeling, Fuzzy k-means clustering, Hierarchical clustering

Shuangshuang Dai; Atam P. Dhawan

2007-05-01T23:59:59.000Z

248

Online learning in adversarial Lipschitz environments  

Science Conference Proceedings (OSTI)

We consider the problem of online learning in an adversarial environment when the reward functions chosen by the adversary are assumed to be Lipschitz. This setting extends previous works on linear and convex online learning. We provide a class of algorithms ...

Odalric-Ambrym Maillard; Rémi Munos

2010-09-01T23:59:59.000Z

249

Cultural learning in virtual heritage: an overview  

Science Conference Proceedings (OSTI)

The aim of this paper is to present the overview of cultural learning in virtual heritage. In the past, works done on virtual heritage were mostly focused on replicating and visualizing heritage objects for presentation using virtual reality. However, ... Keywords: cultural learning, virtual environment, virtual heritage, visual informatics

Nazrita Ibrahim; Nazlena Mohamad Ali; Noor Faezah Mohd Yatim

2011-11-01T23:59:59.000Z

250

Teachers' beliefs about learning from multimedia  

Science Conference Proceedings (OSTI)

Opinions about the psychological correlates of multimedia computer-supported instructional tools were analyzed by means of a questionnaire concerning the motivational and emotional aspects of multimedia learning, the strategies to be followed during ... Keywords: Attitude toward the computer, Expertise, Gender, Learning, Multimedia, Teachers

Alessandro Antonietti; Marisa Giorgetti

2006-03-01T23:59:59.000Z

251

Learning heuristic functions for large state spaces  

Science Conference Proceedings (OSTI)

We investigate the use of machine learning to create effective heuristics for search algorithms such as IDA^@? or heuristic-search planners such as FF. Our method aims to generate a sequence of heuristics from a given weak heuristic h"0 and a set of ... Keywords: Heuristic search, Learning heuristics, Planning

Shahab Jabbari Arfaee; Sandra Zilles; Robert C. Holte

2011-10-01T23:59:59.000Z

252

Learning in computer vision: some thoughts  

Science Conference Proceedings (OSTI)

It is argued that the ability to generalise is the most important characteristic of learning and that generalisation may be achieved only if pattern recognition systems learn the rules of meta-knowledge rather than the labels of objects. A structure, ...

Maria Petrou

2007-11-01T23:59:59.000Z

253

Achieving Autonomous Power Management Using Reinforcement Learning  

E-Print Network (OSTI)

YING TAN and JUN LU, Binghamton University QING WU, Air Force Research Laboratory QINRU QIU, Syracuse Additional Key Words and Phrases: Power management, thermal management, machine learning, computer ACM using rein- forcement learning. ACM Trans. Des. Autom. Electron. Syst. 18, 2, Article 24 (March 2013

Qiu, Qinru

254

SF STATE Extended Learning EXECUTIVE CERTIFICATE  

E-Print Network (OSTI)

Participants in the certificate program must have a four-year degree or equivalent work experience. AnySF STATE Extended Learning 2013/2014 EXECUTIVE CERTIFICATE in FINANCIAL PLANNING PROGRAM FREE as a webcast. For exact dates and times, visit www.cel.sfsu.edu/financial. · Learn about the program · Meet

255

Quantum Algorithms for Learning and Testing Juntas  

Science Conference Proceedings (OSTI)

In this article we develop quantum algorithms for learning and testing juntas, i.e. Boolean functions which depend only on an unknown set of k out of n ... Keywords: 03.67.-a, 03.67.Lx, Juntas, computational learning theory, lower bounds, quantum computation, quantum property testing, quantum query algorithms

Alp At?c?; Rocco A. Servedio

2007-10-01T23:59:59.000Z

256

Amateur Anthropologists: DIY Tourism as Learning Culture and Accessing Authenticity  

E-Print Network (OSTI)

Amateur Anthropologists: DIY Tourism as Learning Culture andAmateur Anthropologists: DIY Tourism as Learning Culture andAnthropologist; Cybermedia; DIY ii The thesis of Ryoko

Nishijima, Ryoko

2012-01-01T23:59:59.000Z

257

Lessons Learned from Cyber Security Assessments of SCADA and...  

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

Lessons Learned from Cyber Security Assessments of SCADA and Energy Management Systems Lessons Learned from Cyber Security Assessments of SCADA and Energy Management Systems...

258

Building Energy-Efficient Schools in New Orleans: Lessons Learned...  

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

Energy-Efficient Schools in New Orleans: Lessons Learned (Brochure), Energy Efficiency & Renewable Energy (EERE) Building Energy-Efficient Schools in New Orleans: Lessons Learned...

259

Building Energy-Efficient Schools in New Orleans: Lessons Learned...  

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

Efficient Schools in New Orleans: Lessons Learned (Brochure), Energy Efficiency & Renewable Energy (EERE) Building Energy-Efficient Schools in New Orleans: Lessons Learned...

260

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

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

ITR Landfill Assessment Project Lessons Learned Briefing: DOE EM ITR Landfill Assessment Project Lessons Learned By: Craig H. Benson, PhD, PE Where: EM SSAB Teleconference: 1...

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

DOE EM Project Experience & Lessons Learned for In Situ Decommissionin...  

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

EM Project Experience & Lessons Learned for In Situ Decommissioning (Feb. 2013) DOE EM Project Experience & Lessons Learned for In Situ Decommissioning (Feb. 2013) The purpose of...

262

Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive Bayesian classification  

Science Conference Proceedings (OSTI)

Averaged n-Dependence Estimators (AnDE) is an approach to probabilistic classification learning that learns by extrapolation from marginal to full-multivariate probability distributions. It utilizes a single parameter that transforms ... Keywords: Averaged one-dependence estimators, Bayesian learning, Classification learning, Ensemble learning, Feating, Learning without model selection, Naive Bayes, Probabilistic learning, Semi-naive Bayesian learning

Geoffrey I. Webb; Janice R. Boughton; Fei Zheng; Kai Ming Ting; Houssam Salem

2012-02-01T23:59:59.000Z

263

Online Learning Center | Department of Energy  

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

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

264

What is Continual Learning? | Department of Energy  

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

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

265

LESSONS LEARNED LEARNED LESSONS N E P A  

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

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

266

LESSONS LEARNED LEARNED LESSONS N E P A  

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

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

267

Jar mechanism energizer  

Science Conference Proceedings (OSTI)

An energizer for use with a jar mechanism incorporated on inner and outer bodies in a well string to assist the jar mechanism in delivering an upward jar to the well string includes longitudinally spaced seal means between the inner and outer bodies forming a chamber for receiving a compressible medium therein. A differential area formed on one of the bodies within the compressible medium chamber compresses a compressible medium in the chamber as the well string is lowered to position the inner and outer bodies so that the jar mechanism is actuated to restrain relative longitudinal movement between the inner and outer bodies to an extended position whereby a pull force may be developed in the well string in one of the bodies. The differential area is responsive to the compressed gas in the chamber to assist the jar mechanism in applying an upward jarring force when the jar mechanism, in response to a predetermined pull force in the well string, releases the bodies for contact to apply an upward force to the well string.

Webb, D. D.; Anderson, E. A.

1985-10-08T23:59:59.000Z

268

Jar mechanism accelerator  

SciTech Connect

This patent describes an accelerator for use with a jar mechanism in a well pipe string to enhance the jarring impact delivered to a stuck object wherein the jar mechanism includes inner and outer members for connection, respectively, between the well pipe string the stuck object. The jar mechanism members are constructed to (1) restrict relative longitudinal movement therebetween to build up energy in the well pipe string and accelerator and then (2) to release the jar mechanism members for unrestrained, free relative longitudinal movement therebetween to engage jarring surfaces on the jar mechanism members for delivering a jarring impact to the stuck object. The accelerator includes: inner and outer telescopically connected members relatively movable longitudinally to accumulate energy in the accelerator; the inner and outer accelerator members each having means for connecting the accelerator in the well pipe string; means associated with the inner and outer members for initially accomodating a predetermined minimum length of unrestrained, free relative longitudinal movement between the inner and outer accelerator members.

Anderson, E.A.; Webb, D.D.

1989-07-11T23:59:59.000Z

269

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

270

Breakthrough in fracture mechanics  

SciTech Connect

Fracture mechanics, the science of calculating material characteristics, stress, and flaws in plant equipment to evaluate structural integrity, usually spares the owners of nuclear power plants unnecessary expense. Instead of replacing equipment prematurely or waiting for costly, unscheduled materials failures that can take months to repair and cost thousands of dollars a day for replacement power, utilities use fracture mechanics techniques to carefully consider their options. If analyses show repair is unnecessary, plant operation can confidently be resumed. If repair is required, it can either be done immediately or, if deferrable, be scheduled for a later, more convenient outage.

Lihach, N.

1981-05-01T23:59:59.000Z

271

Quamrul H. Mazumder Doctor of Philosophy in Mechanical Engineering, The University of Tulsa (2004).  

E-Print Network (OSTI)

and Engineering Science, University of Michigan- Flint, Michigan. 2006- Present Assistant Professor, Mechanical, Awards and Fellowships Center for Applied Environmental Research project grant, 2008 UM-Flint Research Software fund grant 2007, University of Michigan-Flint Thomson Center for Learning and Teaching Fellowship

Farmer, Michael E.

272

Europeanization of eGovernment policy. Institutional mechanisms and implications for public sector innovation  

Science Conference Proceedings (OSTI)

Do European Union (EU) institutions shape national eGovernment policies and strategies? Is there a process of eGovernment Europeanization in operation? If so, what are the most relevant Europeanization mechanisms within this policy field? How do they ... Keywords: European Union, information and communication technologies, open method of coordination, policy learning, policy transfer, public administration

J. Ignacio Criado

2009-12-01T23:59:59.000Z

273

STATISTICAL MECHANICS AND FIELD THEORY  

E-Print Network (OSTI)

1. L. 1. Schiff, Quantum Mechanics, third edition (McGraw-two-dimensional quantum mechanics problem vith a potential,Theory Methods to Statistical Mechanics Chapter I The Use of

Samuel, S.A.

2010-01-01T23:59:59.000Z

274

Investigation of learning and experience curves  

DOE Green Energy (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

275

DEPARTMENT OF MECHANICAL ENGINEERING  

E-Print Network (OSTI)

the Chair Advanced Power Systems Research Group Engineering Education Innovation Research Group Mechanics of MultiScale Materials Research Group MultiScale Systems and Sensors Research Group Space Systems Research Group Sustainable Manufacturing and Design Research Group Faculty Profiles Michigan

Endres. William J.

276

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

277

SAFETY-MECHANICAL STANDARDS  

SciTech Connect

Hanford Atomic Production Operation specification guides and standards for plumbing, chemical ngineering, mechanical engineering, sanitary engineering, exhaust systems, steam engineering, stainless steel, dry boxes, thermal insulation, filtration, and materials testing are presented. Details of this manual are given in TID-4100 (Suppl.). (N.W.R.)

1964-10-31T23:59:59.000Z

278

Higgs Mechanism for Gravitons  

E-Print Network (OSTI)

Just like the vector gauge bosons in the gauge theories, it is now known that gravitons acquire mass in the process of spontaneous symmetry breaking of diffeomorphisms through the condensation of scalar fields. The point is that we should find the gravitational Higgs mechanism such that it results in massive gravity in a flat Minkowski space-time without non-unitary propagating modes. This is usually achieved by including higher-derivative terms in scalars and tuning the cosmological constant to be a negative value in a proper way. Recently, a similar but different gravitational Higgs mechanism has been advocated by Chamseddine and Mukhanov where one can relax the negative cosmological constant to zero or positive one. In this work, we investigate why the non-unitary ghost mode decouples from physical Hilbert space in a general space-time dimension. Moreover, we generalize the model to possess an arbitrary potential and clarify under what conditions the general model exhibits the gravitational Higgs mechanism. By searching for solutions to the conditions, we arrive at two classes of potentials exhibiting gravitational Higgs mechanism. One class includes the model by Chamseddine and Mukhanov in a specific case while the other is completely a new model.

Ichiro Oda

2010-03-07T23:59:59.000Z

279

Fractals and quantum mechanics  

Science Conference Proceedings (OSTI)

A new application of a fractal concept to quantum physics has been developed. The fractional path integrals over the paths of the Lévy flights are defined. It is shown that if fractality of the Brownian trajectories leads to standard quantum mechanics

Nick Laskin

2000-01-01T23:59:59.000Z

280

Quantum Mechanics and Black Holes  

E-Print Network (OSTI)

This paper discusses the existence of black holes from the foundations of quantum mechanics. It is found that quantum mechanics rule out a possible gravitational collapse.

Jose N. Pecina-Cruz

2005-11-11T23:59:59.000Z

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

Rotation invarient simultaneous clustering and dictionary learning  

E-Print Network (OSTI)

In this paper, we present an approach that simultaneously clusters database members and learns dictionaries from the clusters. The method learns dictionaries in the Radon transform domain, while clustering in the image domain. The main feature of the proposed approach is that it provides rotation invariant clustering which is useful in Content Based Image Retrieval (CBIR). We demonstrate through experimental results that the proposed rotation invariant clustering provides better retrieval performance than the standard Gabor-based method that has similar objectives. Index Terms — Radon transform, rotation invariance, clustering, dictionary learning, CBIR.

Yi-chen Chen; Challa S. Sastry; Vishal M. Patel; P. Jonathon Phillips

2012-01-01T23:59:59.000Z

282

Mobile learning for just-in-time applications  

Science Conference Proceedings (OSTI)

This document will attempt to evaluate the potential of a mobile learning and training system for use in a Just-In-Time (JIT) environment. The literature review covers existing mobile communications technology and learning systems, an overview of JIT ... Keywords: education, just-in-time training, mobile-learning (m-learning), socio-technical system

Tia G. Tucker; Woodrow W. Winchester, III

2009-03-01T23:59:59.000Z

283

Suppressed fuzzy-soft learning vector quantization for MRI segmentation  

Science Conference Proceedings (OSTI)

Objective: A self-organizing map (SOM) is a competitive artificial neural network with unsupervised learning. To increase the SOM learning effect, a fuzzy-soft learning vector quantization (FSLVQ) algorithm has been proposed in the literature, using ... Keywords: CPU time, Learning vector quantization, Magnetic resonance image segmentation, Mean squared error, Self-organizing map

Wen-Liang Hung; De-Hua Chen; Miin-Shen Yang

2011-05-01T23:59:59.000Z

284

Re-thinking physics teaching with web-based learning  

Science Conference Proceedings (OSTI)

There is extensive uptake of ICT in the teaching of science but more evidence is needed on how ICT impacts on the learning practice and the learning outcomes at the classroom level. In this study, a physics website (Getsmart) was developed using the ... Keywords: High school, Learning outcomes, Pedagogies, Physics, Web-based learning

Vinesh Chandra; James J. Watters

2012-01-01T23:59:59.000Z

285

Improved Rooftop Detection in Aerial Images with Machine Learning  

Science Conference Proceedings (OSTI)

In this paper, we examine the use of machine learning to improve a rooftop detection process, one step in a vision system that recognizes buildings in overhead imagery. We review the problem of analyzing aerial images and describe an existing system ... Keywords: applications of learning, evaluation of algorithms, learning for computer vision, supervised learning

M. A. Maloof; P. Langley; T. O. Binford; R. Nevatia; S. Sage

2003-10-01T23:59:59.000Z

286

Fall 2011 Composite Data Products: National FCEV Learning Demonstration  

DOE Green Energy (OSTI)

This technical presentation describes Fall 2011 composite data products: national FCEV learning demonstration.

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

2011-11-01T23:59:59.000Z

287

Fuel Cell Technologies Office: National Hydrogen Learning Demonstration  

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

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

288

Implementing US Department of Energy lessons learned programs. Volume 2  

Science Conference Proceedings (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

289

Lessons Learned Quarterly Report Archive | Department of Energy  

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

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

290

Mechanical Operations and Maintenance  

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

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

291

NUT SCREW MECHANISMS  

DOE Patents (OSTI)

A reactor control mechanism is described wherein the control is achieved by the partial or total withdrawal of the fissile material which is in the form of a fuel rod. The fuel rod is designed to be raised and lowered from the reactor core area by means of two concentric ball nut and screw assemblies that may telescope one within the other. These screw mechanisms are connected through a magnetic clutch to a speed reduction gear and an accurately controllable prime motive source. With the clutch energized, the fuel rod may be moved into the reactor core area, and fine adjustments may be made through the reduction gearing. However, in the event of a power failure or an emergency signal, the magnetic clutch will become deenergized, and the fuel rod will drop out of the core area by the force of gravity, thus shutting down the operation of the reactor.

Glass, J.A.F.

1958-07-01T23:59:59.000Z

292

Testing quantum mechanics  

E-Print Network (OSTI)

As experiments continue to push the quantum-classical boundary to include increasingly complex dynamical systems, the interpretation of experimental data becomes more and more challenging: when the observations are noisy, indirect, and limited, how can we be sure that we are observing quantum behavior? This tutorial highlights some of the difficulties in such experimental tests of quantum mechanics, using optomechanics as the central example, and discusses how the issues can be resolved using techniques from statistics and insights from quantum information theory.

Mankei Tsang

2013-06-12T23:59:59.000Z

293

DOE Lessons Learned Documents and Information  

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

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

294

Learning to predict from textual data  

Science Conference Proceedings (OSTI)

Given a current news event, we tackle the problem of generating plausible predictions of future events it might cause. We present a new methodology for modeling and predicting such future news events using machine learning and data mining techniques. ...

Kira Radinsky; Sagie Davidovich

2012-09-01T23:59:59.000Z

295

Review: learning bayesian networks: Approaches and issues  

Science Conference Proceedings (OSTI)

Bayesian networks have become a widely used method in the modelling of uncertain knowledge. Owing to the difficulty domain experts have in specifying them, techniques that learn Bayesian networks from data have become indispensable. Recently, however, ...

Rónán Daly; Qiang Shen; Stuart Aitken

2011-05-01T23:59:59.000Z

296

NREL: Learning About Renewable Energy Home Page  

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

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

297

Learn More About Interconnections | Department of Energy  

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

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

298

Change: Connections to Adult Learning and Education  

E-Print Network (OSTI)

Phrases such as “change is inevitable, ” “change is constant, ” and “the only thing certain is change itself ” are commonly heard when commiserating about the pace of modern life. As described in the fable Who Moved My Cheese? (Johnson 1998), humans have varying reactions to change: some welcome it, others tolerate it, but many dread it. The main idea underlying Johnson’s book—that change is inevitable so we must learn to accept it—delivers a naive and simplistic message about a complex process. Many perspectives exist about change, but a common theme throughout the literature is that it is a process that involves learning (Macduff 1993). The question of how adult learning and education can cultivate change with individuals and groups is explored in this Digest. Following a discussion of the change process, it examines the connection between change and adult education and adult learning, and it concludes with some suggestions for adult educators involved in the

Susan Imel; Eric D Igest

2000-01-01T23:59:59.000Z

299

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

300

Learning Demonstration Progress Report -- September 2007  

DOE Green Energy (OSTI)

This report documents the key results from the DOE Controlled Hydrogen Fleet and Infrastructure Validation and Demonstration project. This project is also referred to as the fuel cell vehicle and infrastructure learning demonstration.

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

2007-11-01T23:59:59.000Z

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

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

302

Adaptive learning of semantic locations and routes  

Science Conference Proceedings (OSTI)

Adaptation of devices and applications based on contextual information has a great potential to enhance usability and mitigate the increasing complexity of mobile devices. An important topic in context-aware computing is to learn semantic locations and ...

Keshu Zhang; Haifeng Li; Kari Torkkola; Mike Gardner

2007-09-01T23:59:59.000Z

303

Adaptive learning of semantic locations and routes  

Science Conference Proceedings (OSTI)

Adaptation of devices and applications based on contextual information has a great potential to enhance usability and mitigate the increasing complexity of mobile devices. An important topic in context-aware computing is to learn semantic locations and ...

Keshu Zhang; Haifeng Li; Kari Torkkola; Mike Gardner

2007-10-01T23:59:59.000Z

304

Lessons Learned Quarterly Report, December 1994  

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

On August 12, 1994 the Office of NEPA Oversight distributed an interim/draft lessons learned questionnaire to NEPA contacts to be used for reporting on environmental impact statements and...

305

Priors in Bayesian learning of phonological rules  

Science Conference Proceedings (OSTI)

This paper describes a Bayesian procedure for unsupervised learning of phonological rules from an unlabeled corpus of training data. Like Goldsmith's Linguistica program (Goldsmith, 2004b), whose output is taken as the starting point of this procedure, ...

Sharon Goldwater; Mark Johnson

2004-07-01T23:59:59.000Z

306

Imitation and social learning for synthetic characters  

E-Print Network (OSTI)

We want to build animated characters and robots capable of rich social interactions with humans and each other, and who are able to learn by observing those around them. An increasing amount of evidence suggests that, in ...

Buchsbaum, Daphna, 1979-

2004-01-01T23:59:59.000Z

307

Hybrid hierarchical learning from dynamic scenes  

Science Conference Proceedings (OSTI)

The work proposes a hierarchical architecture for learning from dynamic scenes at various levels of knowledge abstraction. The raw visual information is processed at different stages to generate hybrid symbolic/sub-symbolic descriptions of the scene, ...

Prithwijit Guha; Pradeep Vaghela; Pabitra Mitra; K. S. Venkatesh; Amitabha Mukerjee

2005-12-01T23:59:59.000Z

308

National Hydrogen Learning Demonstration Status (Presentation)  

DOE Green Energy (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

309

A machine learning system for recognizing subclasses  

Science Conference Proceedings (OSTI)

Thematic information extraction from remote sensing images is a complex task. In this demonstration, we present *Miner machine learning system. In particular, we demonstrate an advanced subclass recognition algorithm that is specifically designed to ...

Ranga Raju Vatsavai

2012-07-01T23:59:59.000Z

310

More Information To learn more, please contact  

E-Print Network (OSTI)

More Information To learn more, please contact: Mike Beauregard ­ Senior Advisor, UNITED Health & RecPlex (204) 789-1436 | m.beauregard@uwinnipeg.ca Jamie Bettens ­ Senior Development Officer (204

Martin, Jeff

311

A Probabilistic Framework for Discriminative Dictionary Learning  

E-Print Network (OSTI)

In this paper, we address the problem of discriminative dictionary learning (DDL), where sparse linear representation and classification are combined in a probabilistic framework. As such, a single discriminative dictionary and linear binary classifiers are learned jointly. By encoding sparse representation and discriminative classification models in a MAP setting, we propose a general optimization framework that allows for a data-driven tradeoff between faithful representation and accurate classification. As opposed to previous work, our learning methodology is capable of incorporating a diverse family of classification cost functions (including those used in popular boosting methods), while avoiding the need for involved optimization techniques. We show that DDL can be solved by a sequence of updates that make use of well-known and well-studied sparse coding and dictionary learning algorithms from the literature. To validate our DDL framework, we apply it to digit classification and face recognition and tes...

Ghanem, Bernard

2011-01-01T23:59:59.000Z

312

Predatory sequence learning for synthetic characters  

E-Print Network (OSTI)

The process of mammalian predatory sequence development offers a number of insights relevant to the goal of designing synthetic characters that can quickly and easily learn complicated and interesting behavior. We propose ...

Berlin, Matthew Roberts, 1980-

2003-01-01T23:59:59.000Z

313

Transfer in Reinforcement Learning via Shared Features  

E-Print Network (OSTI)

We present a framework for transfer in reinforcement learning based on the idea that related tasks share some common features, and that transfer can be achieved via those shared features. The framework attempts to capture ...

Konidaris, George

314

LESSONS LEARNED AND BEST PRACTICES PROGRAM MANUAL  

E-Print Network (OSTI)

Learned and Best Practices Program Manual, Rev 0 Page 1of 9AND BEST PRACTICES PROGRAM MANUAL LBNL PUB-5519 (4), Rev. 0and Best Practices Program Manual, Rev 0 Page 2 of 9 RECORD

Gravois, Melanie C.

2007-01-01T23:59:59.000Z

315

When does feedback facilitate learning of words?  

E-Print Network (OSTI)

ON LONG-TERM RECALL When Does Feedback Facilitate Learningperformance during learning, it does so at the expense ofduring training, it often does so at the expense of longer

Pashler, Harold; Cepeda, N J; Wixted, J T; Rohrer, D

2005-01-01T23:59:59.000Z

316

Automatically learning qualia structures from the web  

Science Conference Proceedings (OSTI)

Qualia Structures have many applications within computational linguistics, but currently there are no corresponding lexical resources such as WordNet or FrameNet. This paper presents an approach to automatically learn qualia structures for nominals from ...

Philipp Cimiano; Johanna Wenderoth

2005-06-01T23:59:59.000Z

317

Prototype-driven learning for sequence models  

Science Conference Proceedings (OSTI)

We investigate prototype-driven learning for primarily unsupervised sequence modeling. Prior knowledge is specified declaratively, by providing a few canonical examples of each target annotation label. This sparse prototype information is then ...

Aria Haghighi; Dan Klein

2006-06-01T23:59:59.000Z

318

Aquatic Species Program (ASP): Lessons Learned  

SciTech Connect

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

319

Average-case active learning with costs  

Science Conference Proceedings (OSTI)

We analyze the expected cost of a greedy active learning algorithm. Our analysis extends previous work to a more general setting in which different queries have different costs. Moreover, queries may have more than two possible responses and the distribution ...

Andrew Guillory; Jeff Bilmes

2009-10-01T23:59:59.000Z

320

Learning to map sentences to logical form  

E-Print Network (OSTI)

One of the classical goals of research in artificial intelligence is to construct systems that automatically recover the meaning of natural language text. Machine learning methods hold significant potential for addressing ...

Zettlemoyer, Luke S. (Luke Sean), 1978-

2009-01-01T23:59:59.000Z

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.


321

NREL: Learning - Student Resources on Wind Energy  

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

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

322

Measuring Student Learning With Item Response Theory  

E-Print Network (OSTI)

We investigate short-term learning from hints and feedback in a Web-based physics tutoring system. Both the skill of students and the difficulty and discrimination of items were determined by applying item response theory ...

Lee, Young-Jin

323

TRANSIENT QUANTUM MECHANICAL PROCESSES  

SciTech Connect

Our principal objective has centered on the development of sophisticated computational techniques to solve the time-dependent Schroedinger equation that governs the evolution of quantum mechanical systems. We have perfected two complementary methods, discrete variable representation and real space product formula, that show great promise in solving these complicated temporal problems. We have applied these methods to the interaction of laser light with molecules with the intent of not only investigating the basic mechanisms but also devising schemes for actually controlling the outcome of microscopic processes. Lasers now exist that produce pulses of such short duration as to probe a molecular process many times within its characteristic period--allowing the actual observation of an evolving quantum mechanical system. We have studied the potassium dimer as an example and found agreement with experimental changes in the intermediate state populations as a function of laser frequency--a simple control prescription. We have also employed elaborate quantum chemistry programs to improve the accuracy of basic input such as bound-bound and bound-free coupling moments. These techniques have far-ranging applicability; for example, to trapped quantum systems at very low temperatures such as Bose-Einstein condensates.

L. COLLINS; J. KRESS; R. WALKER

1999-07-01T23:59:59.000Z

324

Mechanical Compression Heat Pumps  

E-Print Network (OSTI)

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 dampened because there is a current abundance of the basic sources of industrial energy (namely oil and natural gas). Meanwhile, Mycom used the window of the current opportunities to develop, design and test compressors built to meet the needs of the mechanically demanding industrial heat pump applications which often require high compression ratios and temperatures in excess of 200 degrees F. This paper will review the theoretical foundation for heat pumps and present the mechanical and thermal requirements of the compressors which constitute the heart and soul of the system. It will also provide a quick survey of the available types of compressors for heat pumping and some of the industrial processes where simultaneous heating and cooling proceed along parallel demand paths. The case history will examine the system flexibility and the economic advantages realized in a barley malting process.

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

1986-06-01T23:59:59.000Z

325

Measurement of Mechanical and Electrical  

Science Conference Proceedings (OSTI)

Measurement of Mechanical and Electrical Properties of Ultra-thin Insulating Films. NIST Nanomechanical Properties Group ...

2012-10-01T23:59:59.000Z

326

Fundamental Interaction Mechanisms of Engineered ...  

Science Conference Proceedings (OSTI)

Fundamental Interaction Mechanisms of Engineered Nanomaterials with DNA. Summary: We utilized isotope-dilution liquid ...

2012-10-01T23:59:59.000Z

327

Understanding Bohmian mechanics: A dialogue  

E-Print Network (OSTI)

This paper is an introduction to the ideas of Bohmian mechanics, an interpretation of quantum mechanics in which the observer plays no fundamental role. Bohmian mechanics describes, instead of probabilities of measurement results, objective microscopic events. In recent years, Bohmian mechanics has attracted increasing attention by researchers. The form of a dialogue allows me to address questions about the Bohmian view that often arise.

Roderich Tumulka

2004-08-18T23:59:59.000Z

328

Bohmian Mechanics Detlef Durr1  

E-Print Network (OSTI)

Bohmian Mechanics Detlef D¨urr1 , Sheldon Goldstein2 , Roderich Tumulka3 , and Nino Zangh`i4, Via Dodecaneso 33, 16146 Genova, Italy. E-mail: zanghi@ge.infn.it #12;Bohmian mechanics is a theory mechanics, observers see the same statistics for experimental results as predicted by quantum mechanics

Goldstein, Sheldon

329

NEPA Lessons Learned Third Quarter 2007  

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

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

330

NEPA Lessons Learned March 2011 1  

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

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

331

NEPA Lessons Learned Second Quarter FY 2006  

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

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

332

NEPA Lessons Learned June 2010 1  

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

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

333

NEPA Lessons Learned March 2010 1  

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

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

334

Learning to rank for spatiotemporal search  

Science Conference Proceedings (OSTI)

In this article we consider the problem of mapping a noisy estimate of a user's current location to a semantically meaningful point of interest, such as a home, restaurant, or store. Despite the poor accuracy of GPS on current mobile devices and the ... Keywords: data mining, geocoding, foursquare, human mobility, information retrieval, learn to rank, spatiotemporal models, location data, machine learning, mobile devices, spatial search

Blake Shaw; Jon Shea; Siddhartha Sinha; Andrew Hogue

2013-02-01T23:59:59.000Z

335

Learning Guides PHYSICS 103/105  

E-Print Network (OSTI)

is multiplied by 4. #12;Page 10 Learning Guide 1 Fall 2004 ANSWER KEY 1. y x Inner circle has radius 8 Outer Page 9 ANSWER KEY 1. 120 kg 2. No 3. v = gR sin + µs cos cos - µs sin 4. vt = gR 5. N µkN T1 M1g M important results by using conservation laws alone. #12;Fall 2004 Learning Guide 3 Page 9 ANSWER KEY 1. PE

336

Supervised Neural Gas for Learning Vector Quantization  

E-Print Network (OSTI)

In this contribution we combine approaches the generalized leraning vector quantization (GLVQ) with the neighborhood orientented learning in the neural gas network (NG). In this way we obtain a supervised version of the NG what we call supervised NG (SNG). We show that the SNG is more robust than the GLVQ because the neighborhood learning avoids numerically instabilities as it may occur for complicate classification tasks like in the case of multimodal data. 1

Thomas Villmann; Barbara Hammer; Marc Strickert

2002-01-01T23:59:59.000Z

337

Contributions to a public e-learning platform: infrastructure; architecture; frameworks; tools  

Science Conference Proceedings (OSTI)

Life long, flexible, collaborative, and personalised learning are words that are being increasingly used, whenever education is discussed and designed. They express new and important demands on learning architectures, both with regard to pedagogy, organisation ... Keywords: collaborative learning, conceptual web, customised learning, e-learning, electronic portfolios, information retrieval, interoperability, knowledge management, learning architectures, learning resources, metadata, online learning, open source, peer, peer-to-, reflective learning, semantic web

Ambjorn Naeve; Mikael Nilsson; Matthias Palmer; Fredrik Paulsson

2005-03-01T23:59:59.000Z

338

Using the Learning Design Language to model activities supported by services  

Science Conference Proceedings (OSTI)

The main objective of the field of Learning Design (LD) is to provide teachers and instructional designers with the conceptual and technological means to create and manage e-learning activities. This paper addresses a paradox in existing ... Keywords: CSCL, LDL, MDE, computer-supported collaborative learning, e-learning, educational technologies, electronic learning, learning activities modelling, learning design language, learning technology, model driven architecture, model driven engineering, online learning, services modelling

Christian Martel; Laurence Vignollet

2008-07-01T23:59:59.000Z

339

Drill drive mechanism  

DOE Patents (OSTI)

A drill drive mechanism is especially adapted to provide both rotational drive and axial feed for a drill of substantial diameter such as may be used for drilling holes for roof bolts in mine shafts. The drill shaft is made with a helical pattern of scroll-like projections on its surface for removal of cuttings. The drill drive mechanism includes a plurality of sprockets carrying two chains of drive links which are arranged to interlock around the drill shaft with each drive link having depressions which mate with the scroll-like projections. As the chain links move upwardly or downwardly the surfaces of the depressions in the links mate with the scroll projections to move the shaft axially. Tangs on the drive links mate with notch surfaces between scroll projections to provide a means for rotating the shaft. Projections on the drive links mate together at the center to hold the drive links tightly around the drill shaft. The entire chain drive mechanism is rotated around the drill shaft axis by means of a hydraulic motor and gear drive to cause rotation of the drill shaft. This gear drive also connects with a differential gearset which is interconnected with a second gear. A second motor is connected to the spider shaft of the differential gearset to produce differential movement (speeds) at the output gears of the differential gearset. This differential in speed is utilized to drive said second gear at a speed different from the speed of said gear drive, this speed differential being utilized to drive said sprockets for axial movement of said drill shaft.

Dressel, Michael O. (Englewood, CO)

1979-01-01T23:59:59.000Z

340

Mechanical Systems Qualification Standard  

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

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

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

Effects of applying STR for group learning activities on learning performance in a synchronous cyber classroom  

Science Conference Proceedings (OSTI)

This study aimed to apply Speech to Text Recognition (STR) for individual oral presentations and group discussions of students in a synchronous cyber classroom. An experiment was conducted to analyze the effectiveness of applying STR on learning performance. ... Keywords: Computer-mediated communication, Distance education and telelearning, Improving classroom teaching, Pedagogical issues, cooperative/collaborative learning

Tony C. T. Kuo; Rustam Shadiev; Wu-Yuin Hwang; Nian-Shing Chen

2012-01-01T23:59:59.000Z

342

On the design of effective learning materials for supporting self-directed learning of programming  

Science Conference Proceedings (OSTI)

This paper reports on the action research that studies how to implement self-directed learning of programming in the academic context. Based on our findings from the previous steps with this research agenda, we focus on the design of learning materials. ... Keywords: cognitive load theory, functional programming, programming education, self-direction

Ville Tirronen; Ville Isomöttönen

2012-11-01T23:59:59.000Z

343

Lessons Learned Quarterly Report Archive | Department of Energy  

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

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

344

Lessons Learned Quarterly Report, June 2004 | Department of Energy  

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

Lessons Learned Quarterly Report, June 2004 Lessons Learned Quarterly Report, June 2004 Lessons Learned Quarterly Report, June 2004 Welcome to the 39th quarterly report on lessons learned in the NEPA process. In this issue we are continuing a multi-part examination of lessons learned from Lessons Learned. We invite your suggestions on how to improve the Lessons Learned program. Thank you for your continuing support. Articles included in this issue: "Open House" Format for Scoping Meetings Provides DOE Valuable Input for Yucca Rail EIS Lesson Learned from Lessons Learned Apply Common Sense: Reduce Unfamilar Abbreviations Carbon Sequestration Programmatic EIS The Libyan Connection: Emergency Action Needed NEPA Strategy Adjusts to Changing Circumstances Card Game Highlights Diversity at NEPA Clinic

345

Role of the area postrema in radiation-induced taste aversion learning and emesis in cats  

SciTech Connect

The role of the area postrema in radiation-induced emesis and taste aversion learning and the relationship between these behaviors were studied in cats. The potential involvement of neural factors which might be independent of the area postrema was minimized by using low levels of ionizing radiation (100 rads at a dose rate of 40 rads/min) to elicit a taste aversion, and by using body-only exposures (4500 and 6000 rads at 450 rads/min) to produce emesis. Lesions of the area postrema disrupted both taste aversion learning and emesis following irradiation. These results, which indicate that the area postrema is involved in the mediation of both radiation-induced emesis and taste aversion learning in cats under these experimental conditions, are interpreted as being consistent with the hypotheses that similar mechanisms mediate both responses to exposure to ionizing radiation, and that the taste aversion learning paradigm can therefore serve as a model system for studying radiation-induced emesis.

Rabin, B.M.; Hunt, W.A.; Chedester, A.L.; Lee, J.

1986-01-01T23:59:59.000Z

346

Image Change Detection via Ensemble Learning  

SciTech Connect

The concept of geographic change detection is relevant in many areas. Changes in geography can reveal much information about a particular location. For example, analysis of changes in geography can identify regions of population growth, change in land use, and potential environmental disturbance. A common way to perform change detection is to use a simple method such as differencing to detect regions of change. Though these techniques are simple, often the application of these techniques is very limited. Recently, use of machine learning methods such as neural networks for change detection has been explored with great success. In this work, we explore the use of ensemble learning methodologies for detecting changes in bitemporal synthetic aperture radar (SAR) images. Ensemble learning uses a collection of weak machine learning classifiers to create a stronger classifier which has higher accuracy than the individual classifiers in the ensemble. The strength of the ensemble lies in the fact that the individual classifiers in the ensemble create a mixture of experts in which the final classification made by the ensemble classifier is calculated from the outputs of the individual classifiers. Our methodology leverages this aspect of ensemble learning by training collections of weak decision tree based classifiers to identify regions of change in SAR images collected of a region in the Staten Island, New York area during Hurricane Sandy. Preliminary studies show that the ensemble method has approximately 11.5% higher change detection accuracy than an individual classifier.

Martin, Benjamin W [ORNL; Vatsavai, Raju [ORNL

2013-01-01T23:59:59.000Z

347

Mechanics of Peridynamic Membranes  

National Nuclear Security Administration (NNSA)

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

348

Mechanical well jar  

Science Conference Proceedings (OSTI)

This patent describes a mechanical well jar having inner and outer tubular members movable longitudinally relative to each other a limited distance. Means for connecting one of the members to a pipe string extends above the jar. Means connect the other member to the pipe string below the jar. Annular shoulders on the members engage to limit the relative longitudinal movement of the members. The improvement comprises: laterally spaced, arcuate cam plates each attached to the inner surface of the outer member by threaded members that extend through the wall of the outer member and that can be removed from outside the outer member to allow the cam plates to be removed and repaired or replaced.

Burton, C.A.

1987-05-19T23:59:59.000Z

349

Rotary drive mechanism  

Science Conference Proceedings (OSTI)

This patent describes a rotary drive mechanism which includes a rotary solenoid having a stator and multi-poled rotor. A moving member rotates with the rotor and is biased by a biasing device. The biasing device causes a further rotational movement after rotation by the rotary solenoid. Thus, energization of the rotary solenoid moves the member in one direction to one position and biases the biasing device against the member. Subsequently, de- energization of the rotary solenoid causes the biasing device to move the member in the same direction to another position from where the moving member is again movable by energization and de-energization of the rotary solenoid. Preferably, the moving member is a multi-lobed cam having the same number of lobes as the rotor has poles. An anti- overdrive device is also preferably provided for preventing overdrive in the forward direction or a reverse rotation of the moving member and for precisely aligning the moving member.

Kenderdine, E.W.

1991-10-08T23:59:59.000Z

350

Rotary drive mechanism  

Science Conference Proceedings (OSTI)

A rotary drive mechanism includes a rotary solenoid having a stator and multi-poled rotor. A moving member rotates with the rotor and is biased by a biasing device. The biasing device causes a further rotational movement after rotation by the rotary solenoid. Thus, energization of the rotary solenoid moves the member in one direction to one position and biases the biasing device against the member. Subsequently, de-energization of the rotary solenoid causes the biasing device to move the member in the same direction to another position from where the moving member is again movable by energization and de-energization of the rotary solenoid. Preferably, the moving member is a multi-lobed cam having the same number of lobes as the rotor has poles. An anti-overdrive device is also preferably provided for preventing overdrive in the forward direction or a reverse rotation of the moving member and for precisely aligning the moving member.

Kenderdine, Eugene W. (Albuquerque, NM)

1991-01-01T23:59:59.000Z

351

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. 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 fluidtight barrier. A counterrotation removes the barrier.

Gilmore, Richard F. (Kennewick, WA)

1983-01-01T23:59:59.000Z

352

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

353

Essays on dynamic sales mechanisms  

E-Print Network (OSTI)

This thesis is a collection of three essays on dynamic sales mechanisms. The first chapter analyzes the Name Your Own Price (NYOP) mechanism adopted by Priceline.com. Priceline.com, a website helping travelers obtain ...

Chen, Chia-Hui, Ph. D. Massachusetts Institute of Technology

2009-01-01T23:59:59.000Z

354

Tensor analysis of spatial mechanisms  

Science Conference Proceedings (OSTI)

The position analysis of a general four-bar spatial mechanism is developed using tensor notation and operations. To exemplify the convenience of tensors in kinematic analysis the solution is obtained for a mechanism containing two revolute pairs of links ...

C. Y. Ho

1966-05-01T23:59:59.000Z

355

On Randomness in Quantum Mechanics  

E-Print Network (OSTI)

The quantum mechanical probability densities are compared with the probability densities treated by the theory of random variables. The relevance of their difference for the interpretation of quantum mechanics is commented.

Alberto C. de la Torre

2007-07-19T23:59:59.000Z

356

Mechanical Behavior at Nanoscale I  

Science Conference Proceedings (OSTI)

Jul 31, 2011 ... -Deformation mechanisms of nano structures including nanocrystalline, nano- twinned, nanowires, nano-laminates, and nano-pillars.

357

Mechanical Behavior of Materials Committee  

Science Conference Proceedings (OSTI)

The Mechanical Behavior of Materials Committee is part of the Structural Materials Division. Our Mission: Covers relationships between microstructure and

358

Security Components and Mechanisms Group  

Science Conference Proceedings (OSTI)

Security Components and Mechanisms Group. Welcome. ... A security checklist is a document that contains instructions for securely configuring … ...

2013-01-17T23:59:59.000Z

359

SOLID MECHANICS James R. Rice  

E-Print Network (OSTI)

1 SOLID MECHANICS James R. Rice School of Engineering and Applied Sciences, and Department of Earth: February 2010 Downloadable at: http://esag.harvard.edu/rice/e0_Solid_Mechanics_94_10.pdf TABLE OF CONTENTS provided on last three pages, pp. 87-89 INTRODUCTION The application of the principles of mechanics to bulk

360

Ideas By Statistical Mechanics (ISM)  

Science Conference Proceedings (OSTI)

Ideas by Statistical Mechanics (ISM) is a generic program to model evolution and propagation of ideas/patterns throughout populations subjected to endogenous and exogenous interactions. The program is based on the author's work in Statistical Mechanics ... Keywords: neocortical interactions, risk management, simulated annealing, statistical mechanics

Lester Ingber

2007-08-01T23:59:59.000Z

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


361

Stakeholder Engagement and Outreach: Learn About Wind  

Wind Powering America (EERE)

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

362

Training and Learning Resources | Open Energy Information  

Open Energy Info (EERE)

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

363

Lessons Learned from Independent Verification Activities  

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

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

364

Renewable Energy Online Learning | Department of Energy  

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

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

365

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

SciTech Connect

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

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

1996-12-01T23:59:59.000Z

366

Entanglement Exchange and Bohmian Mechanics  

E-Print Network (OSTI)

This paper analyses the phenomenon of entanglement exchange in Bohm's pilot wave interpretation of quantum mechanics. The interesting feature of the phenomenon is that systems become entangled without causal interaction; hence it is a useful situation for investigating the unique nature of interaction in Bohmian mechanics. The first two sections introduce, respectively, entanglement exchange in the standard interpretation of quantum mechanics, and the basic principles of Bohmian mechanics. The next section shows that the Bohmian interpretation makes the same experimental predictions about entanglement exchange as the standard one. The final section draws some conclusions about interactions and entanglement in Bohmian mechanics.

Nick Huggett; Tiziana Vistarini

2009-05-25T23:59:59.000Z

367

Learning Demonstration Interim Progress Report -- July 2010  

SciTech Connect

This report discusses key results based on data through December 2009 from the U.S. Department of Energy's (DOE) Controlled Hydrogen Fleet and Infrastructure Validation and Demonstration Project, also referred to as the National Fuel Cell Electric Vehicle (FCEV) Learning Demonstration. The report serves to help transfer knowledge and lessons learned within various parts of DOE's hydrogen program, as well as externally to other stakeholders. It is the fourth such report in a series, with previous reports being published in July 2007, November 2007, and April 2008.

Wipke, K.; Spirk, S.; Kurtz, J.; Ramsden, T.

2010-09-01T23:59:59.000Z

368

TENCompetence: Lifelong Learning and Competence Development  

E-Print Network (OSTI)

Abstract. TENCompetence is an integrated project which will support individuals, groups and organisations in Europe in lifelong competence development by establishing the most appropriate technical and organizational infrastructure, using open-source, standards-based, sustainable and innovative technology. To achieve this, the project will conduct RTD activities to further develop and integrate models and tools in the respective fields of knowledge resources, learning activities and units of learning, competence development programmes and network data for lifelong competence development. The result will be the creation of new pedagogical approaches, new innovative software, and the integration of isolated models and tools into a common framework for competence development. 1

Christopher Kew

2006-01-01T23:59:59.000Z

369

Very Large System Dynamics Models - Lessons Learned  

Science Conference Proceedings (OSTI)

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

Jacob J. Jacobson; Leonard Malczynski

2008-10-01T23:59:59.000Z

370

Lessons Learned Quarterly Report, March 2004 | Department of Energy  

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

Lessons Learned Quarterly Report, March 2004 Lessons Learned Quarterly Report, March 2004 Lessons Learned Quarterly Report, March 2004 Welcome to the 38th quarterly report on lessons learned in the NEPA process. In this issue we are continuing a multi-part examination of lessons learned from Lessons Learned. We invite your suggestions on how to improve the Lessons Learned program. Thank you for your continuing support. Included in this issue: New, Improved "Green Book" Is on the Way Modern Pit Facility Final EIS Delayed NNSA Withdraws FONSI for LANL Biosafety Lab BLM Programmatic EIS On Wind Energy Lesson Learned about Schedule and Teamwork CEQ Chair Emphasizes NEPA's "Productive Harmony" Goal Supporting Flexible Decisionmaking in Practice NEPA Champions Brief Congressional Staff

371

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

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

372

Learning semantic grammars with constructive inductive logic programming  

Science Conference Proceedings (OSTI)

Automating the construction of semantic grammars is a difficult and interesting problem for machine learning. This paper shows how the semantic-grammar acquisition problem can be viewed as the learning of search-control heuristics in a logic program. ...

John M. Zelle; Raymond J. Mooney

1993-07-01T23:59:59.000Z

373

Solar Panels to Help Iowa Students Learn About Renewable Energy...  

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

Solar Panels to Help Iowa Students Learn About Renewable Energy Solar Panels to Help Iowa Students Learn About Renewable Energy May 10, 2010 - 10:53am Addthis Five Iowa schools...

374

Proceedings of the 25th international conference on Machine learning  

Science Conference Proceedings (OSTI)

This volume contains the papers accepted to the 25th International Conference on Machine Learning (ICML 2008). ICML is the annual conference of the International Machine Learning Society (IMLS), and provides a venue for the presentation and discussion ...

William Cohen; Andrew McCallum; Sam Roweis

2008-07-01T23:59:59.000Z

375

Relevant learning objects extraction based on semantic annotation  

Science Conference Proceedings (OSTI)

We propose, in this paper, a model that extracts automatically learning objects as response to a user request. To do this, we proceed by automatically annotating texts with semantic metadata. These metadata will allow us to index and extract learning ...

Boutheina Smine; Rim Faiz; Jean-Pierre Desclés

2013-05-01T23:59:59.000Z

376

The modality effect in multimedia learning: theoretical and empirical limitations  

Science Conference Proceedings (OSTI)

Numerous studies in the field of multimedia learning have confirmed the modality principle, which claims that the presentation of pictures with auditory texts leads to better learning outcomes than the presentation of pictures with visual text. However, ...

Anne Schueler; Katharina Scheiter; Peter Gerjets; Ralf Rummer

2008-06-01T23:59:59.000Z

377

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

Science Conference Proceedings (OSTI)

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

Ryan J. Urbanowicz; Jason H. Moore

2009-01-01T23:59:59.000Z

378

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

379

An integrated approach to learning bayesian networks of rules  

Science Conference Proceedings (OSTI)

Inductive Logic Programming (ILP) is a popular approach for learning rules for classification tasks. An important question is how to combine the individual rules to obtain a useful classifier. In some instances, converting each learned rule into a binary ...

Jesse Davis; Elizabeth Burnside; Inês de Castro Dutra; David Page; Vítor Santos Costa

2005-10-01T23:59:59.000Z

380

Learning a scanning understanding for "real-world" library categorization  

Science Conference Proceedings (OSTI)

This paper describes, compares, and evaluates three different approaches for learning a semantic classification of library titles: 1) syntactically condensed titles, 2) complete titles, and 3) titles without insignificant words are used for learning ...

Stefan Wermter

1992-03-01T23:59:59.000Z

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.


381

Machine learning for host-based anomaly detection  

Science Conference Proceedings (OSTI)

Anomaly detection techniques complement, signature based methods for intrusion detection. Machine learning approaches are applied to anomaly detection for automated learning and detection. Traditional host-based anomaly detectors model system call sequences ...

Gaurav Tandon / Philip K. Chan

2008-01-01T23:59:59.000Z

382

Better Buildings Neighborhood Program: Residents Learn to Open...  

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

Residents Learn to Open Their Doors to Energy Efficiency in Michigan to someone by E-mail Share Better Buildings Neighborhood Program: Residents Learn to Open Their Doors to Energy...

383

Idaho Students Learning Lessons on Energy Efficiency | Department...  

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

Idaho Students Learning Lessons on Energy Efficiency Idaho Students Learning Lessons on Energy Efficiency December 9, 2009 - 12:07pm Addthis Joshua DeLung When Idaho officials...

384

Lessons Learned Quarterly Report Archive | Department of Energy  

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

March 1, 2007 Lessons Learned Quarterly Report, March 2007 Welcome to the 50th quarterly report on lessons learned in the NEPA process. The Office of NEPA Policy and Compliance...

385

An unsupervised, online learning framework for moving object detection  

Science Conference Proceedings (OSTI)

Object detection with a learned classifier has been applied successfully to difficult tasks such as detecting faces and pedestrians. Systems using this approach usually learn the classifier offline with manually labeled training data. We present a framework ...

Vinod Nair; James J. Clark

2004-06-01T23:59:59.000Z

386

Machine Learning Forensics for Law Enforcement, Security, and Intelligence  

Science Conference Proceedings (OSTI)

Increasingly, crimes and fraud are digital in nature, occurring at breakneck speed and encompassing large volumes of data. To combat this unlawful activity, knowledge about the use of machine learning technology and software is critical. Machine Learning ...

Jesus Mena

2011-06-01T23:59:59.000Z

387

IDEAL: An Integrated Distributed Environment for Asynchronous Learning  

Science Conference Proceedings (OSTI)

In this paper, we present the design and implementation of IDEAL, an Integrated Distributed Environment for Asynchronous Learning. The learning environment supports a Web-based distributed community for student-centered, self-paced, and highly interactive ...

Yi Shang; Hongchi Shi

2000-06-01T23:59:59.000Z

388

Lessons Learned: An Ongoing Dialogue About Smart Grid | Department...  

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

Lessons Learned: An Ongoing Dialogue About Smart Grid Lessons Learned: An Ongoing Dialogue About Smart Grid November 21, 2011 - 11:31am Addthis EPBs 226 million Smart Grid...

389

Discriminative structure and parameter learning for Markov logic networks  

Science Conference Proceedings (OSTI)

Markov logic networks (MLNs) are an expressive representation for statistical relational learning that generalizes both first-order logic and graphical models. Existing methods for learning the logical structure of an MLN are not discriminative; however, ...

Tuyen N. Huynh; Raymond J. Mooney

2008-07-01T23:59:59.000Z

390

Relativistic mechanism of superconductivity  

E-Print Network (OSTI)

According to the theory of relativity, the relativistic Coulomb's force between an electron pair is composed of two parts, the main part is repulsive, while the rest part can be attractive in certain situations. Thus the relativistic attraction of an electron pair provides an insight into the mechanism of superconductivity. In superconductor, there are, probably at least, two kinds of collective motions which can eliminate the repulsion between two electrons and let the attraction being dominant, the first is the combination of lattice and electron gas, accounting for traditional superconductivity; the second is the electron gas themselves, accounting for high $T_c$ superconductivity. In usual materials, there is a good balance between the repulsion and attraction of an electron pair, the electrons are regarded as free electrons so that Fermi gas theory plays very well. But in some materials, when the repulsion dominates electron pairs, the electron gas will has a behavior opposite to superconductivity. In the present paper the superconducting states are discussed in terms of relativistic quantum theory in details, some significant results are obtained including quantized magnetic flux, London equation, Meissner effect and Josephson effect.

H. Y. Cui

2002-12-17T23:59:59.000Z

391

N=8 superconformal mechanics  

E-Print Network (OSTI)

We construct new models of N=8 superconformal mechanics associated with the off-shell N=8, d=1 supermultiplets (3,8,5) and (5,8,3). These two multiplets are derived as N=8 Goldstone superfields and correspond to nonlinear realizations of the N=8, d=1 superconformal group OSp(4^*|4) in its supercosets OSp(4^*|4)/U(1)_R x SO(5) and OSp(4^*|4)/SU(2)_R x SO(4), respectively. The irreducibility constraints for these superfields automatically follow from appropriate superconformal covariant conditions on the Cartan superforms. The N=8 superconformal transformations of the superspace coordinates and the Goldstone superfields are explicitly given. Interestingly, each N=8 supermultiplet admits two different off-shell N=4 decompositions, with different N=4 superconformal subgroups SU(1,1|2) and OSp(4^*|2) of OSp(4^*|4) being manifest as superconformal symmetries of the corresponding N=4, d=1 superspaces. We present the actions for all such N=4 splittings of the N=8 multiplets considered.

S. Bellucci; E. Ivanov; S. Krivonos; O. Lechtenfeld

2003-12-31T23:59:59.000Z

392

Top down approach for designing an e-learning pattern language based on IMS-LD specification  

Science Conference Proceedings (OSTI)

Designing an efficient e-learning system is a multipart problem that includes several issues such as designing learning tasks, learning resources and social forums that will enable each student to learn in a good and effective way. Learning Design patterns ... Keywords: IMSLD, XML, e-learning, learning patterns, learning workflow, pattern languages

Maysoon Aldekhail; Alaa Eldeen Sayed Ahmed; Mohammed Alawairdhi; Azeddine Chikh

2012-04-01T23:59:59.000Z

393

Info-Exch 2012- Sites Lessons Learned Presentation  

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

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

394

Learn About 'NIST and Nanosoccer' from New Web Site and ...  

Science Conference Proceedings (OSTI)

Learn About 'NIST and Nanosoccer' from New Web Site and Video. From NIST Tech Beat: May 28, 2008. ...

2013-07-11T23:59:59.000Z

395

New Oversight Process and Safety Culture Assessment Lessons Learned...  

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

Urgency * Training Safety Culture Assessment Lessons Learned Method -- Data Gathering Techniques Surveys Behavioral Anchored Rating Scales (BARS) Focus Group...

396

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

DOE Green Energy (OSTI)

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

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

2008-06-18T23:59:59.000Z

397

Affective e-Learning in residential and pervasive computing environments  

E-Print Network (OSTI)

-bed that represents the kind of high-tech, context aware home-based learning environment we envisage future learners

Shen, Liping

398

FCV Learning Demonstration: Project Midpoint Status and Fall 2007 Results  

DOE Green Energy (OSTI)

Status reoprt on NREL's fuel cell vehicle learning demonstration presented at the 2007 EVS-23 meeting in Anaheim, CA.

Wipke, K.; Sprik, S.; Kurtz, J.; Thomas, H.; Garbak, J.

2007-12-01T23:59:59.000Z

399

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

DOE Green Energy (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

Lazy meta-learning: creating customized model ensembles on demand  

Science Conference Proceedings (OSTI)

In the not so distant future, we expect analytic models to become a commodity. We envision having access to a large number of data-driven models, obtained by a combination of crowdsourcing, crowdservicing, cloud-based evolutionary algorithms, outsourcing, ... Keywords: Pareto set, coal-fired power plant management, computational intelligence, ensemble, entropy, fusion, lazy learning, machine learning, meta-learning, neural networks

Piero P. Bonissone

2012-06-01T23:59:59.000Z

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.
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to obtain the most current and comprehensive results.


401

An Experimental Method for the Active Learning of Greedy Algorithms  

Science Conference Proceedings (OSTI)

Greedy algorithms constitute an apparently simple algorithm design technique, but its learning goals are not simple to achieve. We present a didactic method aimed at promoting active learning of greedy algorithms. The method is focused on the concept ... Keywords: Computer science education, active learning, greedy algorithms, misconceptions, usability, visualization

J. Ángel Velázquez-Iturbide

2013-11-01T23:59:59.000Z

402

Interacting meaningfully with machine learning systems: Three experiments  

Science Conference Proceedings (OSTI)

Although machine learning is becoming commonly used in today's software, there has been little research into how end users might interact with machine learning systems, beyond communicating simple ''right/wrong'' judgments. If the users themselves could ... Keywords: Explanations, Intelligent user interfaces, Machine learning, Rich feedback

Simone Stumpf; Vidya Rajaram; Lida Li; Weng-Keen Wong; Margaret Burnett; Thomas Dietterich; Erin Sullivan; Jonathan Herlocker

2009-08-01T23:59:59.000Z

403

An empirical investigation of virtual Interaction in supporting learning  

Science Conference Proceedings (OSTI)

This research investigates "virtual interaction," a special type of interaction between a learner and a rich media representation of an instructor. Guided by the Technology Mediated Learning (TML) research framework, the research investigates the impacts ... Keywords: e-learning, question answering, technology mediated learning (TML), virtual interaction

Jinwei Cao; Janna M. Crews; Ming Lin; Judee K. Burgoon; Jay F. Nunamaker, Jr.

2008-07-01T23:59:59.000Z

404

Usability heuristics evaluation for child e-learning applications  

Science Conference Proceedings (OSTI)

Heuristic evaluation has become widely accepted method of usability evaluation in software development. This paper introduces Heuristic Evaluation for Child E-learning applications (HECE), a comprehensive set of heuristics for child e-learning along ... Keywords: e-learning, human computer interaction, usability evaluation

Asmaa Alsumait; Asma Al-Osaimi

2009-12-01T23:59:59.000Z

405

LBNL-52559 Learning and Cost Reductions for Generating  

E-Print Network (OSTI)

) incorporates endogenous learning into its cost calculations for power plants. The parameters that affect reductions due to learning for each of 21 power plants types. Technological learning is represented two ways, solar thermal, and photovoltaic plants. The initial TOFs are shown in Table 3. In NEMS, the first plant

406

Learning patterns in ambient intelligence environments: a survey  

Science Conference Proceedings (OSTI)

It is essential for environments that aim at helping people in their daily life that they have some sort of Ambient Intelligence. Learning the preferences and habits of users then becomes an important step in allowing a system to provide such personalized ... Keywords: Ambient intelligence, Intelligent environments, Machine learning techniques, Pattern learning

Asier Aztiria; Alberto Izaguirre; Juan Carlos Augusto

2010-06-01T23:59:59.000Z

407

Constructive hidden nodes selection of extreme learning machine for regression  

Science Conference Proceedings (OSTI)

In this paper, we attempt to address the architectural design of ELM regressor by applying a constructive method on the basis of ELM algorithm. After the nonlinearities of ELM network are fixed by randomly generating the parameters, the network will ... Keywords: Constructive method, Error-minimized extreme learning machine, Extreme learning machine, Incremental extreme learning machine

Yuan Lan; Yeng Chai Soh; Guang-Bin Huang

2010-10-01T23:59:59.000Z

408

Knowledge transfer for cross domain learning to rank  

Science Conference Proceedings (OSTI)

Recently, learning to rank technology is attracting increasing attention from both academia and industry in the areas of machine learning and information retrieval. A number of algorithms have been proposed to rank documents according to the user-given ... Keywords: Information retrieval, Knowledge transfer, Learning to rank, Ranking SVM

Depin Chen; Yan Xiong; Jun Yan; Gui-Rong Xue; Gang Wang; Zheng Chen

2010-06-01T23:59:59.000Z

409

Fast data acquisition in cost-sensitive learning  

Science Conference Proceedings (OSTI)

Data acquisition is the first and one of the most important steps in many data mining applications. It is a time consuming and costly task. Acquiring an insufficient number of examples makes the learned model and future prediction inaccurate, while acquiring ... Keywords: cost-sensitive learning, data acquisition, data mining, fast data acquisition, machine learning

Victor S. Sheng

2011-08-01T23:59:59.000Z

410

Using POGIL to help students learn to program  

Science Conference Proceedings (OSTI)

POGIL has been successfully implemented in a scientific computing course to teach science students how to program in Python. Following POGIL guidelines, the authors have developed guided inquiry activities that lead student teams to discover and understand ... Keywords: POGIL, active learning, inquiry-based learning, process skills, process-oriented guided inquiry learning

Helen H. Hu, Tricia D. Shepherd

2013-08-01T23:59:59.000Z

411

Searching for “Preparation for Future Learning” in Physics  

Science Conference Proceedings (OSTI)

“Preparation for future learning” is a term describing a new approach to transfer. In addition to focusing on learning environments that help students better apply developed knowledge in new situations; education researchers are searching for educational interventions that better prepare students to learn new information. The pioneering studies in this field were conducted by J. Branford and D. Schwartz in psychology and mathematics

Eugenia Etkina; Michael Gentile; Anna Karelina; Maria R. Ruibal?Villasenor; Gregory Suran

2009-01-01T23:59:59.000Z

412

guitAR: supporting guitar learning through mobile projection  

Science Conference Proceedings (OSTI)

The guitar is one of the most widespread instruments amongst autodidacts, but even though a huge amount of learning material exists, it is still hard to learn especially without a guitar teacher. In this paper we propose an Augmented Reality application ... Keywords: guitar, learning interfaces, mobile projection, projector phone

Markus Löchtefeld; Sven Gehring; Ralf Jung; Antonio Krüger

2011-05-01T23:59:59.000Z

413

Modelling affect expression and recognition in an interactive learning environment  

Science Conference Proceedings (OSTI)

Affective reasoning holds significant potential for intelligent tutoring systems. Incorporating affective reasoning into pedagogical decision-making capabilities could enable learning environments to create customised experiences that are dynamically ... Keywords: HCI, ITS, affect expression, affect recognition, affective student modelling, empathy, human-computer interaction, inductive learning, intelligent tutoring systems, interactive learning, physiological response, self-efficacy, situational context, student affect

Scott W. McQuiggan; James C. Lester

2009-10-01T23:59:59.000Z

414

MALEF: Framework for distributed machine learning and data mining  

Science Conference Proceedings (OSTI)

Growing importance of distributed data mining techniques has recently attracted attention of researchers in multiagent domain. In this paper we present a novel framework MultiAgent Learning Framework (MALEF) designed for both the agent-based ... Keywords: MAS, agent-based systems, architectures, data mining, distributed machine learning, market-based approaches, multi-agent systems, multiagent learning frameworks, unsupervised clustering

Jan Tozicka; Michael Rovatsos; Michal Pechoucek; Stepan Urban

2008-02-01T23:59:59.000Z

415

Nonlinear manifold learning for dynamic shape and dynamic appearance  

Science Conference Proceedings (OSTI)

Our objective is to learn representations for the shape and the appearance of moving (dynamic) objects that support tasks such as synthesis, pose recovery, reconstruction, and tracking. In this paper, we introduce a framework that aims to learn landmark-free ... Keywords: Appearance-based vision, Gait analysis, Human motion analysis, Manifold learning, Motion analysis, Shape analysis

Ahmed Elgammal; Chan-Su Lee

2007-04-01T23:59:59.000Z

416

Wave Mechanics without Probability  

E-Print Network (OSTI)

The behavior of monochromatic electromagnetic waves in stationary media is shown to be ruled by a frequency dependent function, which we call Wave Potential, encoded in the structure of the Helmholtz equation. Contrary to the common belief that the very concept of "ray trajectory" is reserved to the eikonal approximation, a general and exact ray-based Hamiltonian treatment, reducing to the eikonal approximation in the absence of Wave Potential, shows that its presence induces a mutual, perpendicular ray-coupling, which is the one and only cause of any typically wave-like phenomenon, such as diffraction and interference. Recalling, then, that the time-independent Schroedinger and Klein-Gordon equations (associating stationary "matter waves" to mono-energetic particles) are themselves Helmholtz-like equations, the exact, ray-based treatment developed for classical electromagnetic waves is extended - without resorting to statistical concepts - to the exact, trajectory-based Hamiltonian dynamics of mono-energetic point-like particles, both in the non-relativistic and in the relativistic case. The trajectories turn out to be perpendicularly coupled, once more, by an exact, stationary, energy-dependent Wave Potential, coinciding in the form, but not in the physical meaning, with the statistical, time-varying, energy-independent "Quantum Potential" of Bohm's theory, which views particles, just like the standard Copenhagen interpretation, as traveling wave-packets. These results, together with the connection which is shown to exist between Wave Potential and Uncertainty Principle, suggest a novel, non-probabilistic interpretation of Wave Mechanics.

Adriano Orefice; Raffaele Giovanelli; Domenico Ditto

2013-02-18T23:59:59.000Z

417

Mechanical drill string jar  

SciTech Connect

An improved mechanical drill string jar is described that allows uninhibited telescoping movement to the normal drilling condition. The drill string jar consists of: (a) an elongated, generally cylindrical, body usable as a drill string element; (b) axial motion resistance means situated in the annular opening; (c) bias means operatively associated with at least one element of the splined pair to rotate the pair out of alignment when the splined pair is rotationally disengaged; (d) opposed cooperating surfaces on at least two of the spline teeth situated such that forced axial relative motion of the splined pair will produce opposed radial forces on the teeth; (e) means intrinsic to at least one element of the splined pair to permit resisted radial displacement of the spline teeth when forced axial relative motion occurs, to permit one element to move axially through the other; (f) cam surfaces on at least one of the teeth situated to force rotational alignment of the splined pair when telescoping movement is from a jarring condition toward the normal drilling condition; (g) relative rotation resistance means situated in the annular opening, structurally engaged with the pair of telescoping members such that relative rotation therebetween will be resisted; (h) striker and anvil means situated in the annular opening, operatively associated with the telescoping pair of elements, such that axial relative movement therebetween will be solidly stopped at the axial extreme condition; (i) a flow-through fluid channel means extending between the means to attach to the continuing drill string; and (j) seal means situated in the annular opening, operatively associated with the telescoping pair of members, to provide fluid tightness therebetween.

Buck, D.A.

1987-08-25T23:59:59.000Z

418

A statistical mechanical curiosity  

E-Print Network (OSTI)

Unlike most other laws of nature, the second law of thermodynamics is according to Boltzmann statistical in nature, meaning that its reliability arises from the vast number of particles present in macroscopic systems. This means that such systems will lead towards their most likely state, that is, the one with the most homogeneous probability distribution. But Boltzmann states that entropy decreasing processes can occur (without doing any work), it is just very improbable. It is therefore not impossible, in principle, for all 6 x 10^23 atoms in a mole of a gas to spontaneously move to one half of a container; it is only fantastically unlikely. A similar idea has been applied on a human cell. All somatic cells seem to age and deteriorate in unfavorable conditions. If the aging process is defined as the accumulation of dysfunctional polymers resulting from among other things chemical bond breakage, where polymers aggregate into harmful arrangements, spreading randomly out in the cell, leading to an altered function, then it also applies that there will be a difference in entropy between an individual of, say, 20 years, and the same individual 80 years old. The goal of this article is to demonstrate that the second law does not tell us that the cell necessarily must go toward a high entropy state and stay that way, but that it is possible according to statistical mechanics for an old cell to experience a return to a younger state. We find the probability of this spontaneous return to a more ordered state to be expressed by P = 10^(-202)^(-889). In spite of this number, it does show that a reversal of the aging process is not prohibited by nature. There is a theoretical possibility of rejuvenation. Whether this will ever become a practical reality is another matter.

Ian von Hegner

2012-12-05T23:59:59.000Z

419

Nanomaterials: Mechanics and Mechanisms (2008), by K.T. Ramesh  

Science Conference Proceedings (OSTI)

Mar 10, 2010 ... At nanoscale, matters show distinctly different behaviors from their bulk materials, from mechanical properties to physical and chemical ...

420

Experimental Investigation of Deformation Mechanisms Present in ...  

Science Conference Proceedings (OSTI)

Cyber-Enabled Ab Initio Simulations in Nanohub.org: Simulation Tools and Learning Modules · Cyber-Enabled Materials Simulations Via Nanohub.org.

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

Practical reinforcement learning using representation learning and safe exploration for large scale Markov decision processes  

E-Print Network (OSTI)

While creating intelligent agents who can solve stochastic sequential decision making problems through interacting with the environment is the promise of Reinforcement Learning (RL), scaling existing RL methods to realistic ...

Geramifard, Alborz, 1980-

2012-01-01T23:59:59.000Z

422

Learning-based ship design optimization approach  

Science Conference Proceedings (OSTI)

With the development of computer applications in ship design, optimization, as a powerful approach, has been widely used in the design and analysis process. However, the running time, which often varies from several weeks to months in the current computing ... Keywords: Machine learning, Multi-objective optimization, Ship design, Structure analysis, Structure optimization

Hao Cui; Osman Turan; Philip Sayer

2012-03-01T23:59:59.000Z

423

Learning from Disaster? After Sendai Richard Falk  

E-Print Network (OSTI)

Learning from Disaster? After Sendai Richard Falk After atomic bombs were dropped on Hiroshima and indecency of the attacks is beyond controversy. This use of atomic bombs against defenseless densely that Japan had conveyed its readiness to surrender well before the bombs had been dropped, that the U

Becker, Luann

424

Lessons Learned: Pangue Hydroelectric | Open Energy Information  

Open Energy Info (EERE)

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

425

LESSONS LEARNED AND BEST PRACTICES PROGRAM MANUAL  

SciTech Connect

This document provides requirements and guidelines for conducting a Lessons Learned and Best Practices Program within Lawrence Berkeley National Laboratory (LBNL) to ensure ongoing improvement of safety and reliability, prevent the recurrence of significant adverse events/trends, and determine implementation strategies that will help LBNL successfully meet the missions and goals set forth by the Department of Energy (DOE).

Gravois, Melanie C.

2007-05-24T23:59:59.000Z

426

Learning conjunctive concepts in structural domains  

Science Conference Proceedings (OSTI)

We study the problem of learning conjunctive concepts from examples on structural domains like the blocks world. nus class of concepts is formally defined and it is shown that even for samples in which each example (positive or negative) is a two-object ...

David Haussler

1987-07-01T23:59:59.000Z

427

Reconfigurable computing for learning Bayesian networks  

Science Conference Proceedings (OSTI)

Learning the structure of Bayesian networks(BNs) is known to be NP-complete and most of the recent work in the field is based on heuristics. Many recent approaches to the problem trade correctness and exactness for faster computation and are still computationally ... Keywords: Bayesian networks, Markov chain Monte Carlo, reconfigurable computing

Narges Bani Asadi; Teresa H. Meng; Wing H. Wong

2008-02-01T23:59:59.000Z

428

Employers' perspectives on it learning outcomes  

Science Conference Proceedings (OSTI)

As part of the assessment process of our BS in Information Technology (IT), we sought the perspective of IT employers on needed skills and knowledge for a career in IT. To this end, we conducted structured interviews with 10 IT employers in the Chicago ... Keywords: assessment, information technology, it employment, learning outcomes, qualitative interviews

Craig S. Miller; Lucia Dettori

2008-10-01T23:59:59.000Z

429

Learning causality for news events prediction  

Science Conference Proceedings (OSTI)

The problem we tackle in this work is, given a present news event, to generate a plausible future event that can be caused by the given event. We present a new methodology for modeling and predicting such future news events using machine learning and ... Keywords: future prediction, news prediction, web knowledge for future prediction

Kira Radinsky; Sagie Davidovich; Shaul Markovitch

2012-04-01T23:59:59.000Z

430

Mobile learning systems for digital natives  

Science Conference Proceedings (OSTI)

In late 2005 and early 2006 the authors carried out a survey of Information Technology professors in eight universities in Australia, New Zealand, the USA and Europe to explore their ways of coping with large group teaching. The aim was to investigate ... Keywords: case studies, mobile learning

Shadi Al-khamayseh; Agnieszka Zmijewska; Elaine Lawrence; Gordana Culjak

2007-03-01T23:59:59.000Z

431

Turning exams into a learning experience  

Science Conference Proceedings (OSTI)

Most students see exams as a stressful experience, having crammed as much as they possibly can and hoping that the material they have studied would indeed be on the exams, and the material that they did not have the time to study for, nor understand, ... Keywords: assessment, learning, midterms, peer-instruction, two-stage exams

Benjamin Yu; George Tsiknis; Meghan Allen

2010-03-01T23:59:59.000Z

432

A Path to Collaborative Strategic Learning  

SciTech Connect

Collaborative learning is critical for the future of any organization and must align with the strategic organizational processes that result in products valued by others. To discover these processes, proposal preparation is explored using topic-oriented ethnography, grounded theory, and an innovative addition to qualitative interviewing, called metainquiry. Using interview data from editors, graphic artists, text processors, scientists, engineers, and technical managers, substantive theory emerges. The research discovers the five essential processes of owning, visioning, reviewing, producing, and contributing needed for organizational strategic learning to occur. The dimensions of these processes are made explicit and can be used to gauge the health of any organization. The substantive theory also provides insight into the ability of collaborative learning to evolve, flourish, and adapt to the strategic advantage of the organization. Lastly, actionable goals with ten essential elements emerge that link owning, visioning, reviewing, producing, and contributing as a path for all organizations to follow to promote collaborative learning communities and enhance their competitive advantage.

Nancy M. Carlson

2003-10-01T23:59:59.000Z

433

Prediction of solar conditions by emotional learning  

Science Conference Proceedings (OSTI)

The increased dependence of human life-world on earth upon orbiting satellites and the threat of solar events that could cause serious damage have triggered a new surge of space weather forecasting research. In this paper, we propose a physiologically ... Keywords: Brain emotional learning, prediction, solar activity

T. Babaie; R. Karimizandi; C. Lucas

2006-12-01T23:59:59.000Z

434

Chaotic exploration and learning of locomotion behaviors  

Science Conference Proceedings (OSTI)

We present a general and fully dynamic neural system, which exploits intrinsic chaotic dynamics, for the real-time goal-directed exploration and learning of the possible locomotion patterns of an articulated robot of an arbitrary morphology in an unknown ...

Yoonsik Shim; Phil Husbands

2012-08-01T23:59:59.000Z

435

Learning Topologic Maps with Growing Neural Gas  

Science Conference Proceedings (OSTI)

Self-organising neural networks try to preserve the topology of an input space by means of their competitive learning. This capacity has been used, among others, for the representation of objects and their motion. In this work we use a kind of self-organising ... Keywords: Self-organising maps, computational geometry, robot navigation, topologic maps, topology preservation

José García-Rodríguez; Francisco Flórez-Revuelta; Juan Manuel García-Chamizo

2007-09-01T23:59:59.000Z

436

Lessons learned from existing biomass power plants  

DOE Green Energy (OSTI)

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

Wiltsee, G.

2000-02-24T23:59:59.000Z

437

SF STATE Extended Learning INFORMATION SYSTEMS (GIS)  

E-Print Network (OSTI)

, state agencies such as the Department of Fish and Game, and federal agencies such as the US ForestSF STATE Extended Learning 2013/2014 GEOGRAPHIC INFORMATION SYSTEMS (GIS) at San Francisco State of environmental decision making is being increasingly relied upon by businesses and agencies in Northern

438

SF STATE Extended Learning SPANISH/ENGLISH  

E-Print Network (OSTI)

skills necessary for service in the courts, in state agencies, and in the medical evaluation system and freelance for state agencies, health organiza- tions, private companies, law firms, and interpretingSF STATE Extended Learning 2013/2014 SPANISH/ENGLISH INTERPRETATION (SEI) ACADEMIC CERTIFICATE

439

Energy Challenge! Learn about opportunities to  

E-Print Network (OSTI)

Energy Challenge! Q: MSU N 9 o. Learn about opportunities to participate in upcoming science activities and events at MSU by visiting Montana.edu/outreach Energy is the ability to do work. Almost everything around us needs energy in order to do things. You need energy to read, play, or just to be alive

440

PNNL SA 95506 Scan to learn more  

E-Print Network (OSTI)

PNNL SA 95506 Scan to learn more www.pnnl.gov At Pacific Northwest National Laboratory, we are transforming the world through courageous discovery and innovation. The evidence is all around us. PNNL called PNNL) developed the standards and devices for setting and measuring radiation doses received

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

Learning classification rules for multiple target attributes  

Science Conference Proceedings (OSTI)

Among predictive models, 'if-then' rule sets are one of the most expressive and human readable model representations. Most of the existing approaches for rule learning focus on predicting a single target attribute/class. In practice, however, we encounter ...

Bernard Ženko; Sašo Džeroski

2008-05-01T23:59:59.000Z

442

Lessons Learned Quarterly Report, September 1997  

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

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

443

Transfer in Reinforcement Learning via Shared Features  

Science Conference Proceedings (OSTI)

We present a framework for transfer in reinforcement learning based on the idea that related tasks share some common features, and that transfer can be achieved via those shared features. The framework attempts to capture the notion of tasks that are ...

George Konidaris; Ilya Scheidwasser; Andrew Barto

2012-06-01T23:59:59.000Z

444

Multiple kernel learning with gaussianity measures  

Science Conference Proceedings (OSTI)

Kernel methods are known to be effective for nonlinear multivariate analysis. One of the main issues in the practical use of kernel methods is the selection of kernel. There have been a lot of studies on kernel selection and kernel learning. Multiple ...

Hideitsu Hino; Nima Reyhani; Noboru Murata

2012-07-01T23:59:59.000Z

445

Facilitating Interorganizational Learning with Information Technology  

Science Conference Proceedings (OSTI)

Increasingly, organizations collaborate to complement their core competencies. New product development, for example, is often a collaborative process, with customers and suppliers contributing complementary knowledge and skills. This study uses grounded ... Keywords: Collaboration Interorganizational Learning New Product Development Tacit Knowledge Trust Virtual Integration

Judy E. Scott

2000-08-01T23:59:59.000Z

446

Deformation Mechanism of Al Particles During Ball Milling Studied ...  

Science Conference Proceedings (OSTI)

What Can we Learn from Atomic Scale Calculations of Grain Boundary Properties? What Can We Learn from Measurements of Li-ion Battery Single Particles?

447

Behavioral and Molecular Characterization of the Early Phase in Vocal Learning in the Zebra Finch  

E-Print Network (OSTI)

Similar to the development of speech in human infants, song learning in juvenile songbirds starts with memorization of adult vocalizations. Young birds develop their own song as a replica of a memorized adult song model through trial and error learning through abundant vocal practice. The internal model of this adult song, termed the ‘template’ is therefore central for guiding the process of vocal learning. However, even the most fundamental aspects of the template, such as when, where and how it is encoded in the brain, remain poorly understood. This dissertation attempts to define a paradigm where the onset of vocal learning and template formation can be time-locked to a small window of exposure to the tutor song. Using this paradigm, I further characterize the molecular changes accompanying the initial phase of vocal learning. The work described here shows that, in the zebra finch, template encoding can be time locked to, on average, a two-hour period of juvenile life and based on just 75 seconds of cumulative tutor song exposure. Rapid changes in vocal output induced by this exposure can be used as markers for predicting the future success of song imitation. To investigate the brain regions involved in this initial phase of vocal learning, a new approach was developed to interrogate global patterns of activity induced gene expression. Statistical parametric mapping, a method used for analysis of functional activity, was adapted to analyze regional activation across 3D reconstructions of whole brain gene expression maps. Using this approach, regions engaged at different stages of vocal learning were identified. To track the molecular mechanisms underlying these activation patterns, changes in the transcriptome of specific brain nuclei were analyzed as the young males undergo rapid changes in the vocal output in response to training. Significant changes in gene expression patterns were detected with divergent gene expression patterns across individual brain regions. The behavioral and molecular tools developed here present an important advance for understanding how the template is instantiated in the songbird brain.

Deshpande, Mugdha Ravindra

2013-05-01T23:59:59.000Z

448

THERMODYNAMICS AND MECHANISMS OF SINTERING  

E-Print Network (OSTI)

E. Hoge and Joseph A. Pask, "Thermodynamics of So:!.id StateJoseph A. Pask, "Thermodynamics and Geometric Considerations8419 r- ,y / ( /)~; - - I THERMODYNAMICS AND MECHANISMS OF

Pask, J.A.

2011-01-01T23:59:59.000Z

449

PNNL: Doing Business - Contracting Mechanisms  

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

Contracting Mechanisms for Work with PNNL Does your small business need expert advice on a technical problem? Does your university research project require state-of-the-art...

450

Mechanical Properties of Thermoelectric Materials  

Science Conference Proceedings (OSTI)

Room Temperature Mechanical Properties of Natural Mineral Based Thermoelectrics: Xiaofeng Fan1; Eldon Case1; Xu Lu1; Donald Morelli1; 1 Michigan State ...

451

Mechanical Behavior - Programmaster.org  

Science Conference Proceedings (OSTI)

Oct 20, 2011 ... Ceramic Matrix Composites: Mechanical Behavior ... such as leading edges and combustor liners, are subjected to simultaneous thermal and ...

452

Building Energy-Efficient Schools in New Orleans: Lessons Learned  

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

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

453

IRENA Renewable Energy Learning Partnership (IRELP) | Open Energy  

Open Energy Info (EERE)

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

454

Moldova National Inventory Report - Lessons Learned | Open Energy  

Open Energy Info (EERE)

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

455

Building Energy-Efficient Schools in New Orleans: Lessons Learned  

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

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

456

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

Open Energy Info (EERE)

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

457

Plant Engineering: Medium-Voltage Cable Failure Mechanism Research, Update 5  

Science Conference Proceedings (OSTI)

This report compiles and extends previously published information gained from EPRI research involving medium-voltage cable failure mechanisms. Four previous reports in this series (EPRI reports 1018777, 1021069, 1022965, and 1024894) presented various results from the study of cables removed from underground applications after 29–38 years of service. The sum knowledge from that work is contained in those four documents, but to view the cumulative information and lessons learned would require ...

2013-09-30T23:59:59.000Z

458

Case Studies of Greenhouse Gas Emissions Offset Projects Implemented in the United Nations Clean Development Mechanism  

Science Conference Proceedings (OSTI)

This paper describes case studies of greenhouse gas (GHG) emissions offset project activities undertaken within the United Nations Clean Development Mechanism (CDM) program. This paper is designed to communicate key lessons learned from the implementation of different types of GHG emissions offsets projects in the CDM to policy makers in the U.S. who may be interested in developing national, regional or state-based GHG offsets programs. This paper also is designed to provide important insights to entitie...

2011-12-21T23:59:59.000Z

459

Lessons Learned Quarterly Report, December 1999 | Department of Energy  

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

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

460

Lessons Learned Quarterly Report, March 1999 | Department of Energy  

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

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

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

NREL-Learning About Renewable Energy Site | Open Energy Information  

Open Energy Info (EERE)

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

462

NREL-Lessons Learned from Energy Efficiency Lighting Programs Webinar |  

Open Energy Info (EERE)

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

463

Lessons Learned Quarterly Report, December 2003 | Department of Energy  

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

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

464

Lessons Learned Quarterly Report Archive | Department of Energy  

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

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

465

Active learning to maximize area under the ROC curve  

E-Print Network (OSTI)

In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. The goal of active learning is to judiciously choose which examples in U to have labeled in order to optimize some performance criterion, e.g. generalization accuracy. ROC (Receiver Operating Characteristic) analysis has attracted high attention in machine learning research in the last few years. ROC curves have been advocated and gradually adopted as an al-ternative to classical machine learning metrics such as misclassification rate. We present several heuristics for active learning designed to optimize area under the ROC curve (AUC) and extensively evaluate them, along with other commonly-used active learning algorithms. One of our algorithms (ESTAUC) was the top performer. When good posterior probability estimates were available, ESTAUC and another of our heuristics (RAR) were by far the best.

Matthew G. Culver

2006-01-01T23:59:59.000Z

466

Quantum chaos in elementary quantum mechanics  

E-Print Network (OSTI)

chaos in elementary quantum mechanics so-called integrableIntroduction to Quantum Mechanics (Englewoods Cliff, NJ:Lifshitz E M 1977 Quantum Mechanics (New York: Pergamon) [

Dabaghian, Yuri A; Jensen, R

2005-01-01T23:59:59.000Z

467

129 Lecture Notes Relativistic Quantum Mechanics  

E-Print Network (OSTI)

129 Lecture Notes Relativistic Quantum Mechanics 1 Need for Relativistic Quantum Mechanics's equation of motion in mechanics. The initial condtions to solve the Newton's equation of motion

Murayama, Hitoshi

468

Modeling the Mechanics of the Cytoskeleton  

E-Print Network (OSTI)

Mechanics . . . . . . . . . . . . . . . . . . . . . . .t contribute to the network’s mechanics have been removed.R.D. Kamm, Cytoskeletal Mechanics, models and measurements,

Bai, Mo

2012-01-01T23:59:59.000Z

469

MECHANICAL ENGINEERING University of California at Berkeley  

E-Print Network (OSTI)

Grabowski2 , Jason Babcock2 , and Shih-Fu Chang1 1 Dept. of Electrical Engineering, Columbia University, New Apprentice, a system in which image classifiers are learned (using machine learning) from user input of automatic classifiers in a framework like the Visual Apprentice [10]. In that system, image classifiers

Keaveny, Tony

470

Quantum mechanics as "space-time statistical mechanics"?  

E-Print Network (OSTI)

In this paper we discuss and analyse the idea of trying to see (non-relativistic) quantum mechanics as a ``space-time statistical mechanics'', by using the classical statistical mechanical method on objective microscopic space-time configurations. It is argued that this could perhaps be accomplished by giving up the assumption that the objective ``state'' of a system is independent of a future measurement performed on the system. This idea is then applied in an example of quantum state estimation on a qubit system.

Anders Månsson

2005-01-24T23:59:59.000Z

471

Automatic Bias Learning: An Inquiry into the Inductive Basis of Induction  

E-Print Network (OSTI)

This thesis combines an epistemological concern about induction with a computational exploration of inductive mechanisms. It aims to investigate how inductive performance could be improved by using induction to select appropriate generalisation procedures. The thesis revolves around a meta-learning system, called designed to investigate how inductive performances could be improved by using induction to select appropriate generalisation procedures. The performance of is discussed against the background of epistemological issues concerning induction, such as the role of theoretical vocabularies and the value of simplicity.

Hilan Bensusan; Murali Ramach; Fab Retkowsky; Pablito Romero; Margarita Sordo; Chris Thornton; David Weir

1999-01-01T23:59:59.000Z

472

Mechanical considerations and design skills.  

SciTech Connect

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

473

Web services model for mobile, distance and distributed learning using service-oriented architecture  

Science Conference Proceedings (OSTI)

This paper describes web services and service-oriented architecture and how these new technologies could be exploited to develop integrated software for mobile, distance and distributed learning. The paper also provides details of a prototype translator ... Keywords: VLE, distance learning, distributed learning, interoperability, m-learning, mobile communications, mobile learning, online education, online learning, service-oriented architecture, virtual learning environments, web services, web-based education

Sushil K. Sharma; Fred L. Kitchens; Queen Esther Booker; Huinan Xu

2006-01-01T23:59:59.000Z

474

WHC significant lessons learned 1993--1995  

Science Conference Proceedings (OSTI)

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

Bickford, J.C.

1997-12-12T23:59:59.000Z

475

NEPA Lessons Learned Quarterly Report June 2001  

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

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

476

NEPA Lessons Learned Quarterly Report December 2000  

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

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

477

Learned, Mississippi: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

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

478

Residential demand response using reinforcement learning  

E-Print Network (OSTI)

Abstract — We present a novel energy management system for residential demand response. The algorithm, named CAES, reduces residential energy costs and smooths energy usage. CAES is an online learning application that implicitly estimates the impact of future energy prices and of consumer decisions on long term costs and schedules residential device usage. CAES models both energy prices and residential device usage as Markov, but does not assume knowledge of the structure or transition probabilities of these Markov chains. CAES learns continuously and adapts to individual consumer preferences and pricing modifications over time. In numerical simulations CAES reduced average end-user financial costs from 16 % to 40 % with respect to a price-unaware energy allocation. I.

Marco Levorato; Andrea Goldsmith; Urbashi Mitra

2010-01-01T23:59:59.000Z

479

Dictionary learning under global sparsity constraint  

E-Print Network (OSTI)

A new method is proposed in this paper to learn overcomplete dictionary from training data samples. Differing from the current methods that enforce similar sparsity constraint on each of the input samples, the proposed method attempts to impose global sparsity constraint on the entire data set. This enables the proposed method to fittingly assign the atoms of the dictionary to represent various samples and optimally adapt to the complicated structures underlying the entire data set. By virtue of the sparse coding and sparse PCA techniques, a simple algorithm is designed for the implementation of the method. The efficiency and the convergence of the proposed algorithm are also theoretically analyzed. Based on the experimental results implemented on a series of signal and image data sets, it is apparent that our method performs better than the current dictionary learning methods in original dictionary recovering, input data reconstructing, and salient data structure revealing.

Meng, Deyu; Zhao, Qian; Xu, Zongben

2012-01-01T23:59:59.000Z

480

Geometric Mechanics -Part I January 13, 2009  

E-Print Network (OSTI)

Geometric Mechanics - Part I Bob Rink January 13, 2009 Contents 1 Mechanical systems 4 1.1 Two Lagrangian mechanics 9 2.1 New position variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9-Lagrange equations . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 2.4 Natural mechanical systems

Hanssmann, Heinz

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


481

Geometric Mechanics -Part I January 23, 2009  

E-Print Network (OSTI)

Geometric Mechanics - Part I Bob Rink January 23, 2009 Contents 1 Mechanical systems 4 1.1 Two Lagrangian mechanics 9 2.1 New position variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9-Lagrange equations . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 2.4 Natural mechanical systems

Rink, Bob

482

Quantum Mechanics and Representation Theory Columbia University  

E-Print Network (OSTI)

Quantum Mechanics and Representation Theory Peter Woit Columbia University Texas Tech, November 21 2013 Peter Woit (Columbia University) Quantum Mechanics and Representation Theory November 2013 1 / 30 #12;Does Anyone Understand Quantum Mechanics? "No One Understands Quantum Mechanics" "I think

Woit, Peter

483

Microstructure Components and Mechanical Properties of an ...  

Science Conference Proceedings (OSTI)

Effects of Microstructural and Mechanical Length Scales on Fatigue Crack ... Components and Mechanical Properties of an Acicular Ferrite Pipeline Steel.

484

Low level waste shipment accident lessons learned  

SciTech Connect

On October 1, 1994 a shipment of low-level waste from the Fernald Environmental Management Project, Fernald, Ohio, was involved in an accident near Rolla, Missouri. The accident did not result in the release of any radioactive material. The accident did generate important lessons learned primarily in the areas of driver and emergency response communications. The shipment was comprised of an International Standards Organization (ISO) container on a standard flatbed trailer. The accident caused the low-level waste package to separate from the trailer and come to rest on its top in the median. The impact of the container with the pavement and median inflicted relatively minor damage to the container. The damage was not substantial enough to cause failure of container integrity. The success of the package is attributable to the container design and the packaging procedures used at the Fernald Environmental Management Project for low-level waste shipments. Although the container survived the initial wreck, is was nearly breached when the first responders attempted to open the ISO container. Even though the container was clearly marked and the shipment documentation was technically correct, this information did not identify that the ISO container was the primary containment for the waste. The lessons learned from this accident have DOE complex wide applicability. This paper is intended to describe the accident, subsequent emergency response operations, and the lessons learned from this incident.

Rast, D.M.; Rowe, J.G.; Reichel, C.W.

1995-02-01T23:59:59.000Z

485

The Sample Complexity of Dictionary Learning  

E-Print Network (OSTI)

A large set of signals can sometimes be described sparsely using a dictionary, that is, every element can be represented as a linear combination of few elements from the dictionary. Algorithms for various signal processing applications, including classification, denoising and signal separation, learn a dictionary from a set of signals to be represented. Can we expect that the representation found by such a dictionary for a previously unseen example from the same source will have L_2 error of the same magnitude as those for the given examples? We assume signals are generated from a fixed distribution, and study this questions from a statistical learning theory perspective. We develop generalization bounds on the quality of the learned dictionary for two types of constraints on the coefficient selection, as measured by the expected L_2 error in representation when the dictionary is used. For the case of l_1 regularized coefficient selection we provide a generalization bound of the order of O(sqrt(np log(m lambd...

Vainsencher, Daniel; Bruckstein, Alfred M

2010-01-01T23:59:59.000Z

486

Astronomical Image Denoising Using Dictionary Learning  

E-Print Network (OSTI)

Astronomical images suffer a constant presence of multiple defects that are consequences of the intrinsic properties of the acquisition equipments, and atmospheric conditions. One of the most frequent defects in astronomical imaging is the presence of additive noise which makes a denoising step mandatory before processing data. During the last decade, a particular modeling scheme, based on sparse representations, has drawn the attention of an ever growing community of researchers. Sparse representations offer a promising framework to many image and signal processing tasks, especially denoising and restoration applications. At first, the harmonics, wavelets, and similar bases and overcomplete representations have been considered as candidate domains to seek the sparsest representation. A new generation of algorithms, based on data-driven dictionaries, evolved rapidly and compete now with the off-the-shelf fixed dictionaries. While designing a dictionary beforehand leans on a guess of the most appropriate representative elementary forms and functions, the dictionary learning framework offers to construct the dictionary upon the data themselves, which provides us with a more flexible setup to sparse modeling and allows to build more sophisticated dictionaries. In this paper, we introduce the Centered Dictionary Learning (CDL) method and we study its performances for astronomical image denoising. We show how CDL outperforms wavelet or classic dictionary learning denoising techniques on astronomical images, and we give a comparison of the effect of these different algorithms on the photometry of the denoised images.

S. Beckouche; J. L. Starck; J. Fadili

2012-01-01T23:59:59.000Z

487

Learning to improve path planning performance  

SciTech Connect

In robotics, path planning refers to finding a short. collision-free path from an initial robot configuration to a desired configuratioin. It has to be fast to support real-time task-level robot programming. Unfortunately, current planning techniques are still too slow to be effective, as they often require several minutes, if not hours of computation. To remedy this situation, we present and analyze a learning algorithm that uses past experience to increase future performance. The algorithm relies on an existing path planner to provide solutions to difficult tasks. From these solutions, an evolving sparse network of useful robot configurations is learned to support faster planning. More generally, the algorithm provides a speedup-learning framework in which a slow but capable planner may be improved both cost-wise and capability-wise by a faster but less capable planner coupled with experience. The basic algorithm is suitable for stationary environments, and can be extended to accommodate changing environments with on-demand experience repair and object-attached experience abstraction. To analyze the algorithm, we characterize the situations in which the adaptive planner is useful, provide quantitative bounds to predict its behavior, and confirm our theoretical results with experiments in path planning of manipulators. Our algorithm and analysis are sufficiently, general that they may also be applied to other planning domains in which experience is useful.

Chen, Pang C.

1995-04-01T23:59:59.000Z

488

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

489

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

490

Guide to Clean Development Mechanism Projects Related to Municipal Solid  

Open Energy Info (EERE)

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

491

Mechanical Behavior of Indium Nanostructures  

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

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

492

Mechanical Behavior of Indium Nanostructures  

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

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

493

Mechanical Behavior of Indium Nanostructures  

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

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

494

Dislocations and Mechanical Properties - TMS  

Science Conference Proceedings (OSTI)

... 3.11 The Herring-Galt Experiment; 3.12 Multiplication Mechanisms of Dislocations; 3.13 The Frank-Read Double Mill ("Dislocation Source") and the Bulge ...

495

The Interpretation of Quantum Mechanics  

E-Print Network (OSTI)

In this paper, we demonstrate how the interpretation of quantum mechanics due to Land\\'e resolves the Schr\\"odinger cat paradox and disposes of the problem of wave function collapse.

H. V. Mweene

2004-11-09T23:59:59.000Z

496

Hyper-Hamiltonian quantum mechanics  

E-Print Network (OSTI)

We present a modification of quantum mechanics with a *possible worlds* semantics. It is shown that `gauge' degrees of freedom along possible worlds can be used to encode gravitational information.

Vladimir Trifonov

2006-03-02T23:59:59.000Z

497

Quantum mechanics needs no interpretation  

E-Print Network (OSTI)

Probabilistic description of results of measurements and its consequences for understanding quantum mechanics are discussed. It is shown that the basic mathematical structure of quantum mechanics like the probability amplitude, Born rule, probability density current, commutation relations, momentum operator, uncertainty relations, rules for including the scalar and vector potentials and existence of antiparticles can be derived from the definition of the mean values of the space coordinates and time. Equations of motion of quantum mechanics, the Klein-Gordon equation, Schroedinger equation and Dirac equation are obtained from requirement of the relativistic invariance of the theory. Limit case of localized probability densities leads to the Hamilton-Jacobi equation of classical mechanics. Many particle systems are also discussed.

L. Skala; V. Kapsa

2004-12-22T23:59:59.000Z

498

Mechanisms of Banner Cloud Formation  

Science Conference Proceedings (OSTI)

Banner clouds are clouds in the lee of steep mountains or sharp ridges. Their formation has previously been hypothesized as due to three different mechanisms: (i) vertical uplift in a lee vortex (which has a horizontal axis), (ii) adiabatic ...

Matthias Voigt; Volkmar Wirth

2013-11-01T23:59:59.000Z

499

Alloy by Double Mechanical Milling  

Science Conference Proceedings (OSTI)

The results show that the morphology of double mechanical milling powder is regular and the TiAl phase and Ti3Al phase were observed in the powders.

500

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