Sample records for doe artificial retina

  1. The Dept. of Energy Artificial Retina project

    ScienceCinema (OSTI)

    None

    2010-09-01T23:59:59.000Z

    LLNL has assisted in the development of the first long-term retinal prosthesis - called an artificial retina - that can function for years inside the harsh biological environment of the eye. This work has been done in collaboration with four national laboratories (Argonne, Los Alamos, Oak Ridge and Sandia), four universities (the California Institute of Technology, the Doheny Eye Institute at USC, North Carolina State University and the University of California, Santa Cruz), an industrial partner (Second Sight® Medical Products Inc. of Sylmar, Calif.) and the U.S. Department of Energy. With this device, application-specific integrated circuits transform digital images from a camera into electric signals in the eye that the brain uses to create a visual image. In clinical trials, patients with vision loss were able to successfully identify objects, increase mobility and detect movement using the artificial retina.

  2. Artificial Retina Project: Electromagnetic and Thermal Effects

    SciTech Connect (OSTI)

    Lazzi, Gianluca

    2014-08-29T23:59:59.000Z

    This award supported the investigation on electromagnetic and thermal effects associated with the artificial retina, designed in collaboration with national laboratories, universities, and private companies. Our work over the two years of support under this award has focused mainly on 1) Design of new telemetry coils for optimal power and data transfer between the implant and the external device while achieving a significant size reduction with respect to currently used coils; 2) feasibility study of the virtual electrode configuration 3) study the effect of pulse shape and duration on the stimulation efficacy.

  3. Determination of energy thresholds on an artificial retina using a multiple-pulsed laser 

    E-Print Network [OSTI]

    Stephenson, Albert David

    1999-01-01T23:59:59.000Z

    This study is focused on determining single and multiple pulse ED?? for laser pulses of 200 ns duration. Energy thresholds in this experiment were determined on an artificial retina, for a variety of pulse widths and spot sizes. Due to numerous...

  4. Determination of energy thresholds on an artificial retina using a multiple-pulsed laser

    E-Print Network [OSTI]

    Stephenson, Albert David

    1999-01-01T23:59:59.000Z

    This study is focused on determining single and multiple pulse ED?? for laser pulses of 200 ns duration. Energy thresholds in this experiment were determined on an artificial retina, for a variety of pulse widths and spot sizes. Due to numerous...

  5. AI and Cinema -Does artificial insanity rule? Robert B. Fisher

    E-Print Network [OSTI]

    Fisher, Bob

    AI and Cinema - Does artificial insanity rule? Robert B. Fisher Division of Informatics University the early days of cinema (1907). These movies are interesting, because they help shape the mainstream public's view of artificial intelligence and robotics. The experienced science fiction reader and AI

  6. Infrared retina

    DOE Patents [OSTI]

    Krishna, Sanjay (Albuquerque, NM); Hayat, Majeed M. (Albuquerque, NM); Tyo, J. Scott (Tucson, AZ); Jang, Woo-Yong (Albuquerque, NM)

    2011-12-06T23:59:59.000Z

    Exemplary embodiments provide an infrared (IR) retinal system and method for making and using the IR retinal system. The IR retinal system can include adaptive sensor elements, whose properties including, e.g., spectral response, signal-to-noise ratio, polarization, or amplitude can be tailored at pixel level by changing the applied bias voltage across the detector. "Color" imagery can be obtained from the IR retinal system by using a single focal plane array. The IR sensor elements can be spectrally, spatially and temporally adaptive using quantum-confined transitions in nanoscale quantum dots. The IR sensor elements can be used as building blocks of an infrared retina, similar to cones of human retina, and can be designed to work in the long-wave infrared portion of the electromagnetic spectrum ranging from about 8 .mu.m to about 12 .mu.m as well as the mid-wave portion ranging from about 3 .mu.m to about 5 .mu.m.

  7. DOE-Funded Researchers Honored by R&D Magazine: Leader of DOE Artificial

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration wouldDECOMPOSITION OF CALCIUMCOSTDOENuclear1 of 1Retina Project Named

  8. Joint Center for Artificial Photosynthesis (JCAP): DOE's Solar Fuels Energy Innovation Hub (2011 EFRC Summit)

    ScienceCinema (OSTI)

    Lewis, Nate (Director, Joint Center for Artificial Photosynthesis and Professor at Caltech)

    2012-03-14T23:59:59.000Z

    The Joint Center for Artificial Photosynthesis (JCAP) is a DOE Energy Innovation Hub focused on fuels from sunlight. JCAP's Director, Nate Lewis, spoke at the 2011 EFRC Summit about what JCAP is and how it is partnering with the EFRC community to accelerate the progress towards new solar fuels. The 2011 EFRC Summit and Forum brought together the EFRC community and science and policy leaders from universities, national laboratories, industry and government to discuss "Science for our Nation's Energy Future." In August 2009, the Office of Science established 46 Energy Frontier Research Centers. The EFRCs are collaborative research efforts intended to accelerate high-risk, high-reward fundamental research, the scientific basis for transformative energy technologies of the future. These Centers involve universities, national laboratories, nonprofit organizations, and for-profit firms, singly or in partnerships, selected by scientific peer review. They are funded at $2 to $5 million per year for a total planned DOE commitment of $777 million over the initial five-year award period, pending Congressional appropriations. These integrated, multi-investigator Centers are conducting fundamental research focusing on one or more of several ?grand challenges? and use-inspired ?basic research needs? recently identified in major strategic planning efforts by the scientific community. The purpose of the EFRCs is to integrate the talents and expertise of leading scientists in a setting designed to accelerate research that transforms the future of energy and the environment.

  9. Space-Variant Vision using an Irregularly Tessellated Artificial Retina

    E-Print Network [OSTI]

    Balasuriya, L.S.

    Balasuriya,L.S. Siebert,J.P. Workshop on Biologically-Inspired Models and Hardware for Human-like Intelligent Functions, Montreal

  10. Artificial Soiling

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperational Management »Energy Poneman |ArthurArtificial

  11. Verification of Computer Display Pre-compensation for Visual Aberrations in an Artificial Eye

    E-Print Network [OSTI]

    Barreto, Armando

    Verification of Computer Display Pre-compensation for Visual Aberrations in an Artificial Eye user's eye) has been confirmed for a simple "artificial eye". This device has been constructed from (CCD) array that mimics the retina of a real eye. While the CCD array allows for the inspection

  12. Artificial Heart Valve Design

    E-Print Network [OSTI]

    Provancher, William

    Artificial Heart Valve Design Your Chance to be a Biomedical Engineer #12;Circulatory System Video #12;What is a Heart Valve? · Heart Valve Video #12;#12;What Does a Heart Valve Do? · Maintain the one direction flow of blood through the heart · Heart valves allow blood to flow through in a forward direction

  13. Target Motion Discrimination with Model Retina and Cortex

    E-Print Network [OSTI]

    Ghosh, Bijoy K.

    ;. . . . . . .. The Retina The retina consist of Rods and Cone Cells - Color Sensitive - Acts as a filtering layer Ganglion Cells Direction Insensitive Cells (A-ON, A-OFF cells) Direction Sensitive Cells (B1, B2 and B3 Cells) We of the cortex with voltage-sensitive dyes (Prechtl et al., 1997) Imaging the ependymal surface of the cortex

  14. An artificial gastrocnemius for a transtibial prosthesis

    E-Print Network [OSTI]

    Swart, E.

    A transtibial amputee does not have a functional gastrocnemius muscle, which affects the knee as well as the ankle joint. In this investigation, we developed a transtibial prosthesis comprising an artificial gastrocnemius ...

  15. Extracting Provably Correct Rules from Artificial Neural Networks

    E-Print Network [OSTI]

    Clausen, Michael

    Extracting Provably Correct Rules from Artificial Neural Networks Sebastian B. Thrun University procedures have been applied successfully to a variety of real­world scenarios, artificial neural networks for extracting symbolic knowledge from Backpropagation­style artificial neural networks. It does

  16. Joint Center for Artificial Photosynthesis

    SciTech Connect (OSTI)

    Koval, Carl; Lee, Kenny; Houle, Frances; Lewis, Nate

    2013-12-10T23:59:59.000Z

    The Joint Center for Artificial Photosynthesis (JCAP) is the nation's largest research program dedicated to the development of an artificial solar-fuel generation technology. Established in 2010 as a U.S. Department of Energy (DOE) Energy Innovation Hub, JCAP aims to find a cost-effective method to produce fuels using only sunlight, water, and carbon dioxide as inputs. JCAP brings together more than 140 top scientists and researchers from the California Institute of Technology and its lead partner, Berkeley Lab, along with collaborators from the SLAC National Accelerator Laboratory, and the University of California campuses at Irvine and San Diego.

  17. Joint Center for Artificial Photosynthesis

    ScienceCinema (OSTI)

    Koval, Carl; Lee, Kenny; Houle, Frances; Lewis, Nate

    2013-12-19T23:59:59.000Z

    The Joint Center for Artificial Photosynthesis (JCAP) is the nation's largest research program dedicated to the development of an artificial solar-fuel generation technology. Established in 2010 as a U.S. Department of Energy (DOE) Energy Innovation Hub, JCAP aims to find a cost-effective method to produce fuels using only sunlight, water, and carbon dioxide as inputs. JCAP brings together more than 140 top scientists and researchers from the California Institute of Technology and its lead partner, Berkeley Lab, along with collaborators from the SLAC National Accelerator Laboratory, and the University of California campuses at Irvine and San Diego.

  18. Artificial Photosynthesis

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWPAlumni AlumniFederal FacilityAprilAreAroundArthur P.I Artificial

  19. Artificial photosynthesis

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWPAlumni AlumniFederal FacilityAprilAreAroundArthurArtificial

  20. Artificial Photosynthesis II -

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

    II - Artificial Photosynthesis II - Joint Center for Artificial Photosynthesis (JCAP) Simulations NathanLewis.png Schematic of a photoelectrochemical cell being designed to harness...

  1. Artificial Rheotaxis

    E-Print Network [OSTI]

    Jeremie Palacci; Stefano Sacanna; Anais Abrahmian; Jeremie Barral; Kasey Hanson; Alexander Y. Grosberg; David J. Pine; Paul M. Chaikin

    2015-05-19T23:59:59.000Z

    Motility is a basic feature of living microorganisms, and how it works is often determined by environmental cues. Recent efforts have focused on develop- ing artificial systems that can mimic microorganisms, and in particular their self-propulsion. Here, we report on the design and characterization of syn- thetic self-propelled particles that migrate upstream, known as positive rheo- taxis. This phenomenon results from a purely physical mechanism involving the interplay between the polarity of the particles and their alignment by a viscous torque. We show quantitative agreement between experimental data and a simple model of an overdamped Brownian pendulum. The model no- tably predicts the existence of a stagnation point in a diverging flow. We take advantage of this property to demonstrate that our active particles can sense and predictably organize in an imposed flow. Our colloidal system represents an important step towards the realization of biomimetic micro-systems withthe ability to sense and respond to environmental changes

  2. First prototype of a silicon tracker using an artificial retina for fast track finding

    E-Print Network [OSTI]

    N. Neri; A. Abba; F. Caponio; M. Citterio; S. Coelli; J. Fu; A. Geraci; M. Monti; M. Petruzzo; F. Bedeschi; P. Marino; M. J. Morello; A. Piucci; G. Punzi; F. Spinella; S. Stracka; J. Walsh; L. Ristori; D. Tonelli

    2014-09-11T23:59:59.000Z

    We report on the R\\&D for a first prototype of a silicon tracker based on an alternative approach for fast track finding. The working principle is inspired from neurobiology, in particular by the processing of visual images by the brain as it happens in nature. It is based on extensive parallelisation of data distribution and pattern recognition. In this work we present the design of a practical device that consists of a telescope based on single-sided silicon detectors; we describe the data acquisition system and the implementation of the track finding algorithms using available digital logic of commercial FPGA devices. Tracking performance and trigger capabilities of the device are discussed along with perspectives for future applications.

  3. Genetic Algorithms Artificial Life

    E-Print Network [OSTI]

    Mitchell, Melanie

    of artificial systems is an important component of artificial life, providing an important modeling tool of evolution in artificial-life systems. GAs have been used both as tools for solving practical problems a system with lifelike properties, even though this is certainly an important role for GAs in artificial

  4. Genetic Algorithms Artificial Life

    E-Print Network [OSTI]

    Forrest, Stephanie

    systems tremendously. Likewise, evolution of artificial systems is an important component of artificial) are currently the most promi­ nent and widely used models of evolution in artificial­life systems. GAs have beenGenetic Algorithms and Artificial Life Melanie Mitchell Santa Fe Institute 1660 Old Pecos Tr

  5. Decision Matrix Screening Tool to Identify the Best Artificial Lift Method for Liquid-loaded Gas Wells

    E-Print Network [OSTI]

    Soponsakulkaew, Nitsupon

    2010-10-12T23:59:59.000Z

    Liquid loading is a serious problem in gas wells. Many proven artificial lift methods have been used to alleviate this problem. However, a complete workflow to determine the most suitable artificial lift method for given well conditions does...

  6. From Artificial Evolution to Artificial Life 

    E-Print Network [OSTI]

    Taylor, Timothy J

    This work addresses the question: What are the basic design considerations for creating a synthetic model of the evolution of living systems (i.e. an `artificial life' system)? It can also be viewed as an attempt to ...

  7. Oxygen Distribution in the Macaque Retina Jameel Ahmed* Rod D. Braun,^ Robert Dunn, Jr. * and Robert A. Linsenmeier*X

    E-Print Network [OSTI]

    Linsenmeier, Robert

    Oxygen Distribution in the Macaque Retina Jameel Ahmed* Rod D. Braun,^ Robert Dunn, Jr. * and Robert A. Linsenmeier*X Purpose. Oxygen distribution was characterized in the macaque retina, which is more like the human retina than others studied previously. Methods. Profiles of oxygen tension (Po2

  8. Joint Center for Artificial Photosynthesis

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

    The Joint Center for Artificial Photosynthesis (JCAP) is the nation's largest research program dedicated to the development of an artificial solar-fuel generation technology....

  9. Foundations of Artificial IntelligenceFoundations of Artificial Intelligence Introduction

    E-Print Network [OSTI]

    Qu, Rong

    of Artificial Intelligence applications · Show how these systems can be used to solve practical problems · AllowRecommended Reading Negnevitsky Artificial intelligence : a guide to intelligent systems. Addison-Wesley, 2002. Good1 Foundations of Artificial IntelligenceFoundations of Artificial Intelligence Introduction

  10. Effect of shape and coating of a subretinal prosthesis on its integration with the retina

    E-Print Network [OSTI]

    Marc, Robert E.

    Effect of shape and coating of a subretinal prosthesis on its integration with the retina A form 13 September 2008 Available online 10 October 2008 Keywords: retinal prosthesis retinal migration

  11. Advanced Artificial Science. The development of an artificial science and engineering research infrastructure to facilitate innovative computational modeling, analysis, and application to interdisciplinary areas of scientific investigation.

    SciTech Connect (OSTI)

    Saffer, Shelley (Sam) I.

    2014-12-01T23:59:59.000Z

    This is a final report of the DOE award DE-SC0001132, Advanced Artificial Science. The development of an artificial science and engineering research infrastructure to facilitate innovative computational modeling, analysis, and application to interdisciplinary areas of scientific investigation. This document describes the achievements of the goals, and resulting research made possible by this award.

  12. Regulatory Dynamics of Natural and Artificial Photosynthesis

    E-Print Network [OSTI]

    Zaks, Julia

    2012-01-01T23:59:59.000Z

    photosynthesis and in artificial systems. X* Y - Z + High-been implemented in an artificial biomimetic system [18]. Anphotosynthesis and in artificial systems. Chapters 1, 2, and

  13. Art and Artificial Life – a Primer

    E-Print Network [OSTI]

    Penny, Simon

    2009-01-01T23:59:59.000Z

    in Natural and Artificial Systems. MIT press 1992 (1975,)Adaptation in Natural and Artificial Systems, in which heArtificial Life Art was physically instantiated Alife systems,

  14. Foundations of Artificial Intelligence Neural Networks

    E-Print Network [OSTI]

    Qu, Rong

    Foundations of Artificial Intelligence Neural Networks Building Artificial Brains #12;Background Session 2 Software Demonstrations Real World Applications #12;Artificial Neural Networks ... consists to operate. Wiki #12;Relationship between Artificial Neural Networks & the Human Brain Neural networks

  15. Semantic Web 30Artificial

    E-Print Network [OSTI]

    van Harmelen, Frank

    312007.11 "" Semantic Web 30Artificial IntelligenceKnowledge Representation Inductive Web datasets ---- Tim Berners-Lee Tim Berners-Lee " "" " Web 2.0---- Web Web 2.0 Frank van Harmelen W3C OWL Web Sesame RDF Aduna 100 Hirsch 35 5 15 ECAI2002 3 ISWC

  16. Investigadores de la UA y la UV obtienen una nueva lnea celular de retina para el cribado de frmacos neuroprotectores

    E-Print Network [OSTI]

    Escolano, Francisco

    Investigadores de la UA y la UV obtienen una nueva línea celular de retina para el cribado de la Universidad de Valencia han obtenido una nueva línea celular de retina que permite evaluar la eficacia clínica de fármacos. En concreto, se trata de una línea celular inmortal, denominada MU-PH1

  17. Artificial Intersymbol Interference (ISI) to Exploit Receiver Imperfections for Secrecy

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Artificial Intersymbol Interference (ISI) to Exploit Receiver Imperfections for Secrecy Azadeh intentional intersymbol inter- ference (ISI). The legitimate receiver uses the key to cancel the ISI while the eavesdropper, since it does not have the key, cannot do such. It is shown that although ISI reduces

  18. Relaxation Time Constants and Apparent Diffusion Coefficients of Rat Retina at 7 Tesla

    E-Print Network [OSTI]

    Duong, Timothy Q.

    Relaxation Time Constants and Apparent Diffusion Coefficients of Rat Retina at 7 Tesla Govind Nair* and ADC of the rat eyes were measured at 50 3 50 3 800 lm at 7 Tesla. Profiles of T1, T2, T2* and ADC

  19. Blood-flow magnetic resonance imaging of the retina Yingxia Li,a,1

    E-Print Network [OSTI]

    Duong, Timothy Q.

    Blood-flow magnetic resonance imaging of the retina Yingxia Li,a,1 Haiying Cheng,a,1 and Timothy Q 1 November 2007 This study describes a novel MRI application to image basal blood flow, physiologically induced blood-flow changes, and the effects of isoflurane concentration on blood flow

  20. Biological Production of Hydrogen DOE Office of Science,

    E-Print Network [OSTI]

    .Houghton@science.doe.gov #12;Biology transforms energy in a series ofBiology transforms energy in a series University Artificial Chromosome: Minimum Genome Oligo Assembly Microalgae production facility of Cyanotech

  1. Private development of artificial reefs

    E-Print Network [OSTI]

    Burns, Arthur Allen

    1978-01-01T23:59:59.000Z

    an artificial reef would have on the total productivity of coastal fishery resources, (2) the legal consideration associated with the private development of artificial reefs, and (3) the financial feasibility or the reef development. The geographic area... the specific concern of this thesis is the private development of artificial reefs, the conclusion is made that a market economy would be the most efficient mechanism of allocating many common property resources. DEDICATION To my Parents, whose love...

  2. Artificial Neural Networks Single Layer Networks Multi Layer Networks Generalization Artificial Neural Networks

    E-Print Network [OSTI]

    Kjellström, Hedvig

    Artificial Neural Networks Single Layer Networks Multi Layer Networks Generalization Artificial Neural Networks Artificial Neural Networks Single Layer Networks Multi Layer Networks Generalization 1 Artificial Neural Networks Properties Applications Classical Examples Biological Background 2 Single Layer

  3. Artificial Neural Networks Single Layer Networks Multi Layer Networks Generalization Artificial Neural Networks

    E-Print Network [OSTI]

    Kjellström, Hedvig

    Artificial Neural Networks Single Layer Networks Multi Layer Networks Generalization Artificial Neural Networks #12;Artificial Neural Networks Single Layer Networks Multi Layer Networks Generalization 1 Artificial Neural Networks Properties Applications Classical Examples Biological Background 2

  4. Joint Center for Artificial Photosynthesis

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

    March 10, 2015 KPCC public radio: Recorded panel discussion: "NEXT: Solar power - energy of the future?" March 9, 2015 MIT Technology Review: "Artificial Photosynthesis Takes...

  5. Biofluid lubrication for artificial joints 

    E-Print Network [OSTI]

    Pendelton, Alice Mae

    2009-05-15T23:59:59.000Z

    This research investigated biofluid lubrication related to artificial joints using tribological and rheological approaches. Biofluids studied here represent two categories of fluids, base fluids and nanostructured biofluids. ...

  6. Joint Center for Artificial Photosynthesis

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

    JCAP North JCAP Headquarters Joint Center for Artificial Photosynthesis California Institute of Technology Jorgensen Laboratory, Mail Code 132-80 1200 East California Boulevard...

  7. Joint Center for Artificial Photosynthesis

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

    conditions. Currently, his research effort focuses on the scientific challenges of the direct conversion of carbon dioxide and water to a liquid fuel by artificial...

  8. Artificial Photosynthesis II -

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWPAlumni AlumniFederal FacilityAprilAreAroundArthur P.I ArtificialII

  9. Aircraft System Identification Using Artificial Neural Networks

    E-Print Network [OSTI]

    Valasek, John

    Aircraft System Identification Using Artificial Neural Networks Kenton Kirkpatrick Jim May Jr. John Meeting January 9, 2013 Compos Volatus #12;Overview Motivation System Identification Artificial Neural Networks 2 Artificial Neural Networks ANNSID Conclusions and Open Challenges #12;Motivation 3 #12

  10. Ecological Consequences of Artificial Night Lighting

    E-Print Network [OSTI]

    Piselli, Kathy

    2006-01-01T23:59:59.000Z

    of Artificial Night Lighting Catherine Rich and Travisof artificial night lighting. This book provides editedage of modern urban lighting was ushered in. Coincidentally,

  11. Artificial Homeostasis: Integrating Biologically Inspired Computing

    E-Print Network [OSTI]

    Kent, University of

    - mune systems and a novel artificial endocrine system. The natural counterparts of these three of these artificial systems to yield artificially homeostatic systems. The components develop in a common envi. Thus we propose to consider the artificial counterparts of these three biological systems. The use

  12. Pulsatile control of a valveless artificial ventricle 

    E-Print Network [OSTI]

    Etter, Bradley Dale

    1986-01-01T23:59:59.000Z

    0. 300 0. 300 0. 300 0. 300 0. 300 0. 350 0. 350 0. 350 0. 350 0. 350 0. 400 0. 400 0. 400 0. 400 0. 400 0. 300 0. 049 N/A 0. 049 N/A 0. 049 N/A 0. 042 N/A 0. 042 N/A 0. 042 N/A 0. 037 N/A 0. 037 N/A 0. 036 N/A 2. 523 1. 904 3... parameters cannot easily be manipulated in vivo, leading to controversy over the causes of problems associated with artificial hear ts. In addition this in vivo testing does not provide a control labl e, predictable system in which to test the art i f i c...

  13. DOE-Idaho Leads Regional Combined Federal Campaign

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration wouldDECOMPOSITION OF CALCIUMCOSTDOENuclear1 of 1Retina Bradley Bugger DOE

  14. DOE-ORO buildings | Y-12 National Security Complex

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration wouldDECOMPOSITION OF CALCIUMCOSTDOENuclear1 of 1Retina BradleyDOE-ORO

  15. DOE-ORO buildings | Y-12 National Security Complex

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration wouldDECOMPOSITION OF CALCIUMCOSTDOENuclear1 of 1Retina BradleyDOE-OROView of

  16. Realizing artificial photosynthesis

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)IntegratedSpeedingTechnicalPurchase,Reaction-DrivenTemperatures Above 1,600

  17. Localization of glycine-containing neurons in the Macaca monkey retina

    SciTech Connect (OSTI)

    Hendrickson, A.E.; Koontz, M.A.; Pourcho, R.G.; Sarthy, P.V.; Goebel, D.J.

    1988-07-22T23:59:59.000Z

    Autoradiography following 3H-glycine (Gly) uptake and immunocytochemistry with a Gly-specific antiserum were used to identify neurons in Macaca monkey retina that contain a high level of this neurotransmitter. High-affinity uptake of Gly was shown to be sodium dependent whereas release of both endogenous and accumulated Gly was calcium dependent. Neurons labeling for Gly included 40-46% of the amacrine cells and nearly 40% of the bipolars. Synaptic labeling was seen throughout the inner plexiform layer (IPL) but with a preferential distribution in the inner half. Bands of labeled puncta occurred in S2, S4, and S5. Both light and postembedding electron microscopic (EM) immunocytochemistry identified different types of amacrine and bipolar cell bodies and their synaptic terminals. The most heavily labeled Gly+ cell bodies typically were amacrine cells having a single, thick, basal dendrite extending deep into the IPL and, at the EM level, electron-dense cytoplasm and prominent nuclear infoldings. This cell type may be homologous with the Gly2 cell in human retina and the AII/Gly2 of cat retina. Gly+ amacrines synapse most frequently onto Gly- amacrines and both Gly- and Gly+ bipolars. Gly+ bipolar cells appeared to be cone bipolars because their labeled dendrites could be traced only to cone pedicles. The pattern of these labeled dendritic trees indicated that both diffuse and midget types of biopolars were Gly+. The EM distribution of labeled synapses showed Gly+ amacrine synapses throughout the IPL, but these composed only 11-23% of the amacrine population. Most of the Gly+ bipolar terminals were in the inner IPL, where 70% of all bipolar terminals were labeled.

  18. Retina Image Analysis and Ocular Telehealth: The Oak Ridge National Laboratory-Hamilton Eye Institute Case Study

    SciTech Connect (OSTI)

    Karnowski, Thomas Paul [ORNL; Giancardo, Luca [ORNL; Li, Yaquin [University of Tennessee, Knoxville (UTK); Tobin Jr, Kenneth William [ORNL; Chaum, Edward [University of Tennessee, Knoxville (UTK)

    2013-01-01T23:59:59.000Z

    Automated retina image analysis has reached a high level of maturity in recent years, and thus the question of how validation is performed in these systems is beginning to grow in importance. One application of retina image analysis is in telemedicine, where an automated system could enable the automated detection of diabetic retinopathy and other eye diseases as a low-cost method for broad-based screening. In this work we discuss our experiences in developing a telemedical network for retina image analysis, including our progression from a manual diagnosis network to a more fully automated one. We pay special attention to how validations of our algorithm steps are performed, both using data from the telemedicine network and other public databases.

  19. Dose-Response Effect of Charged Carbon Beam on Normal Rat Retina Assessed by Electroretinography

    SciTech Connect (OSTI)

    Mizota, Atsushi, E-mail: mizota-a@med.teikyo-u.ac.j [Department of Ophthalmology, Teikyo University School of Medicine, Tokyo (Japan); Department of Ophthalmology, Juntendo University Urayasu Hospital, Urayasu (Japan); Tanaka, Minoru [Department of Ophthalmology, Juntendo University Urayasu Hospital, Urayasu (Japan); Kubota, Mariko; Negishi, Hisanari [Department of Ophthalmology, National Hospital Organization Chiba Medical Center, Chiba (Japan); Watanabe, Emiko [Department of Ophthalmology, Teikyo University School of Medicine, Tokyo (Japan); Tsuji, Hiroshi; Miyahara, Nobuyuki; Furusawa, Yoshiya [National Institute of Radiological Sciences, Chiba (Japan)

    2010-12-01T23:59:59.000Z

    Purpose: To compare the effects of carbon beam irradiation with those of proton beam irradiation on the physiology of the retina of rats. Methods and Materials: Eight-week-old Wister rats were used. The right eyes were irradiated with carbon beam (1, 2, 4, 8, and 16 Gy) or proton beam (4, 8, 16, and 24 Gy) with the rats under general anesthesia. Electroretinograms were recorded 1, 3, 6, and 12 months after the irradiation, and the amplitudes of the a and b waves were compared with those of control rats. Results: The amplitude of b waves was reduced more than that of a waves at lower irradiation doses with both types of irradiation. With carbon ion irradiation, the amplitudes of the b wave were significantly reduced after radiation doses of 8 and 16 Gy at 6 months and by radiation doses of 4, 8, and 16 Gy at 12 months. With proton beam irradiation, the b-wave amplitudes were significantly reduced after 16 and 24 Gy at 6 months and with doses of 8 Gy or greater at 12 months. For the maximum b-wave amplitude, a significant difference was observed in rats irradiated with carbon beams of 4 Gy or more and with proton beams of 8 Gy or more at 12 months after irradiation. Conclusions: These results indicate that carbon beam irradiation is about two times more damaging than proton beam irradiation on the rat retina at the same dose.

  20. Artificial Intelligence Problem Solving and Search

    E-Print Network [OSTI]

    Srinivasan, Padmini

    . Artificial Intelligence ­ p.1/89 #12;Example: Romania Problem: On holiday in Romania; currently in Arad, Fagaras, Bucharest Artificial Intelligence ­ p.2/89 #12;Example: Romania Giurgiu Urziceni Hirsova Eforie

  1. Artificial Intelligence Problem Solving and Search

    E-Print Network [OSTI]

    Srinivasan, Padmini

    . Artificial Intelligence ­ p.1/89 Example: Romania Problem: On holiday in Romania; currently in Arad. Flight, Bucharest Artificial Intelligence ­ p.2/89 Example: Romania Giurgiu Urziceni Hirsova Eforie Neamt Oradea

  2. A VALIDATION INDEX FOR ARTIFICIAL NEURAL NETWORKS

    E-Print Network [OSTI]

    Roberts, Stephen

    A VALIDATION INDEX FOR ARTIFICIAL NEURAL NETWORKS Stephen Roberts, Lionel Tarassenko, James Pardey and estimation properties of artificial neural networks. Like many `traditional' statistical techniques & David Siegwart Neural Network Research Group Department of Engineering Science University of Oxford, UK

  3. Introduction to Artificial Intelligence Discuss what is meant by Artificial Intelligence (AI)

    E-Print Network [OSTI]

    Qu, Rong

    - Explicit Induced - Deduced Introduction to Artificial Intelligence AI Techniques Top Down - Expert Systems1 Introduction to Artificial Intelligence Objectives · Discuss what is meant by Artificial intelligence · Introduce the terms to be used through the rest of the course Introduction to Artificial

  4. 7. Distributed AI D. Keil Artificial Intelligence 1/12 David Keil, CSCI 400 Artificial Intelligence

    E-Print Network [OSTI]

    Keil, David M.

    D. Keil Special Topics: Artificial Intelligence 1/12 2. Multi-agent systems 3. Stigmergy and self-agent) and phylogenetic (evolutionary) is adaptation by multi-agent systems D. Keil Special Topics: Artificial7. Distributed AI D. Keil Artificial Intelligence 1/12 David Keil, CSCI 400 Artificial Intelligence

  5. ARTIFICIAL INTELLIGENCE A Qualitative Physics

    E-Print Network [OSTI]

    de Kleer, Johan

    ARTIFICIAL INTELLIGENCE A Qualitative Physics Confluences Johan De Kleer and John Seely Brown Xerox physics are (1) to be far simpler than the classical physics and yet retain all the important distinctions quantities and differential equations, (2) to produce causal accounts of physical mechanisms that are easy

  6. Artificial Fishes: Physics, Locomotion, Perception, Behavior

    E-Print Network [OSTI]

    Toronto, University of

    Artificial Fishes: Physics, Locomotion, Perception, Behavior Xiaoyuan Tu and Demetri Terzopoulos the approach, we develop a physics­based, virtual marine world. The world is inhabited by artificial fishes. As in nature, the detailed motions of artificial fishes in their vir­ tual habitat are not entirely predictable

  7. Artificial Fishes: Physics, Locomotion, Perception, Behavior

    E-Print Network [OSTI]

    Terzopoulos, Demetri

    Artificial Fishes: Physics, Locomotion, Perception, Behavior Xiaoyuan Tu and Demetri Terzopoulos-based, virtual marine world. The world is inhabited by artificial fishes that can swim hydrodynamically of artificial fishes in their virtual habitat are not entirely predictable because they are not scripted. 1

  8. Aircraft System Identification Using Artificial Neural Networks

    E-Print Network [OSTI]

    Valasek, John

    Aircraft System Identification Using Artificial Neural Networks Kenton Kirkpatrick , Jim May Jr linear system identification for aircraft using artificial neural net- works. The output of a linear the correct model. In this paper, a new method of system identification is proposed that uses artificial

  9. Object Oriented Artificial Neural Network Implementations

    E-Print Network [OSTI]

    Slatton, Clint

    1 Object Oriented Artificial Neural Network Implementations W. Curt Lefebvre Jose C. Principe Neuro artificial neural networks (ANNs). The conven- tion for ANN simulation has been a direct implementation to develop a graphical artificial neural network simulation environment motivated towards the pro- cessing

  10. Semiring Artificial Neural Networks and Weighted Automata

    E-Print Network [OSTI]

    Hoelldobler, Steffen

    Semiring Artificial Neural Networks and Weighted Automata And an Application to Digital Image neural networks and weighted automata. For this task, we introduce semiring artificial neural networks, that is, artificial neural networks which implement the addition and the multiplication of semirings. We

  11. Online learning processes artificial neural networks

    E-Print Network [OSTI]

    Heskes, Tom

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

  12. Introduction to Artificial Intelligence Neural Networks

    E-Print Network [OSTI]

    Qu, Rong

    Introduction to Artificial Intelligence (G51IAI) Dr Rong Qu Neural Networks #12;G51IAI ­ Introduction to AI Neural Networks Chapter 20 ­ Artificial Intelligence : A Modern Approach (AIMA) Russell ­ Introduction to AI Neural Networks More precisely: Artificial Neural Networks Simulating, on a computer, what

  13. ONCE MORE UNTO THE BREACH ... TOWARDS ARTIFICIAL HOMEOSTASIS?

    E-Print Network [OSTI]

    Timmis, Jon

    of these systems alone is capable of approaching the level of behaviour for which the artificial intelligence artificial neural networks, artificial immune systems and a novel artificial endocrine system. The natural on the self-organising properties of these artificial systems to yield artificially homeostatic systems

  14. DOE HANDBOOK

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: Theof"Wave theJulyD&D Project|StatementDOE FuelProgram |Guide for

  15. DOE-0336

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration wouldDECOMPOSITION OF CALCIUMCOSTDOENuclear EnergyMeetingMetricDOE,to

  16. DOE-0344

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration wouldDECOMPOSITION OF CALCIUMCOSTDOENuclear EnergyMeetingMetricDOE,to4

  17. Joint Center for Artificial Photosynthesis

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

    Facilities JCAP has agreements with numerous Department of Energy (DOE)-supported scientific user facilities that provide JCAP researchers access to state-of-the-art research...

  18. Self-Assembly and Mass Transport in Membranes for Artificial Photosynthesis

    E-Print Network [OSTI]

    Modestino, Miguel Antonio

    2013-01-01T23:59:59.000Z

    for artificial photosynthesis systems ..6into our energy mix. Artificial photosynthesis systems are adiscussion around systems used for artificial photosynthesis

  19. Calibrating Artificial Neural Networks by Global Optimization

    E-Print Network [OSTI]

    Janos D. Pinter

    2010-07-21T23:59:59.000Z

    Jul 21, 2010 ... Abstract: An artificial neural network (ANN) is a computational model ... emulating the key features and operations of biological neural networks.

  20. Fabrication of microfluidic devices for artificial respiration

    E-Print Network [OSTI]

    Park, Hyesung, Ph. D. Massachusetts Institute of Technology

    2007-01-01T23:59:59.000Z

    We are developing elastomeric polydimethylsiloxane (PDMS) microfluidic devices incorporated with photoactive thin films to create an implantable artificial respiration platform. Whereas state-of-the-art respiration support ...

  1. Design and characterization of artificial transcriptional terminators

    E-Print Network [OSTI]

    Huang, Haiyao

    2007-01-01T23:59:59.000Z

    Design and characterization of artificial transcriptional terminators. Ten new terminators were designed based on previous research of terminator structure and termination efficiency. The terminators were built by PCR ...

  2. An Investigation of Artificial Neural Network Architectures in Artificial Life Implementations

    E-Print Network [OSTI]

    Güngör, Tunga

    obtained that can direct the design of such artificial worlds. 1 Introduction Living systems have always. But recently, investigations of biological systems started to be done with artificial systems. These studies include both the investigations of the real biological systems and also the creation of new artificial

  3. DOE Policy on Decommissioning DOE Facilities Under CERCLA | Department...

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

    DOE Policy on Decommissioning DOE Facilities Under CERCLA DOE Policy on Decommissioning DOE Facilities Under CERCLA In May 1995, the Department of Energy (DOE) issued a policy in...

  4. Artificial Fishes: Autonomous Locomotion, Perception, Behavior, and Learning

    E-Print Network [OSTI]

    Toronto, University of

    1 Artificial Fishes: Autonomous Locomotion, Perception, Behavior, and Learning in a Simulated inhabited by realistic artificial fishes. Our algorithms emulate not only the appearance, movement model each animal holistically. An artificial fish is an autonomous agent situated in a simulated

  5. Algorithms and Hardware for Implementing Artificial Neural Networks Nathan Hower

    E-Print Network [OSTI]

    Algorithms and Hardware for Implementing Artificial Neural Networks Nathan Hower Abstract Complex problems require sophisticated processing techniques. Artificial neural networks are based require a parallel processing approach to be computed at practical speeds. Artificial neural networks

  6. An Artificial Animated Boxer Alexander Kolliopoulos

    E-Print Network [OSTI]

    Toronto, University of

    that need to be addressed for this project: animation and control. It is difficult to model good human of artificial life is to model independently acting human characters that appear to behave realistically to a viewer. By modeling artificial human characters engaged in one activity, such as boxing, we may gain

  7. Artificial Neural Network Portion of Coil Study

    E-Print Network [OSTI]

    Putten, Peter van der

    Artificial Neural Network Portion of Coil Study LTC William M. Crocoll School of Systems TO ARTIFICIAL NEURAL NETWORKS A neural network is a massively parallel system comprised of many highly of the brain (Dayhoff, 1990). A major task for a neural network is to learn and maintain a model of the world

  8. Artificial Bee Colony Training of Neural Networks

    E-Print Network [OSTI]

    Bullinaria, John

    Artificial Bee Colony Training of Neural Networks John A. Bullinaria and Khulood AlYahya School of artificial Neural Networks (NNs). Of course, there already exist many hybrid neural network learning for optimization, that has previously been applied successfully to the training of neural networks. This paper ex

  9. DOE-HTGR-88111

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration wouldDECOMPOSITION OF CALCIUMCOSTDOENuclear1 of 1Retina Project

  10. artificial intelligence ai: Topics by E-print Network

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

    1628 February, 1999 A Binocular, Foveated Active Vision System Brian Scassellati MIT Artificial Intelligence Lab project at the MIT Artificial Intelligence Laboratory. The ac- tive...

  11. artificial symbiotic community: Topics by E-print Network

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

    2005-07-25 31 Effects of salmon-derived nutrients on an artificial stream system. Open Access Theses and Dissertations Summary: ??An artificial stream system was...

  12. artificial intelligence based: Topics by E-print Network

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

    Introduction Qu, Rong 14 An artificial intelligence approach to model-based gas lift troubleshooting Texas A&M University - TxSpace Summary: AN ARTIFICIAL INTELLIGENCE...

  13. artificial reefs project: Topics by E-print Network

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

    sug- gesting that artificial reefs were already in use in Japan 2 A Comparison of Fish Populations on an Artificial and Natural Reef Environmental Sciences and Ecology...

  14. artificial life lessons: Topics by E-print Network

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

    12;Marcus Hutter - 2 - Universal Artificial Intelligence Abstract The dream of creating artificial devices that reach or outperform human intelligence is many centuries old. In...

  15. artificial fiber spinning: Topics by E-print Network

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

    of evolution of polarization in artificially-disordered Yamilov, Alexey 2 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  16. artificial processivity clamp: Topics by E-print Network

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

    artificial and natural icing conditions MIT - DSpace Summary: Real-time measurements of ice growth during artificial and natural icing conditions were conducted using an...

  17. artificial vision technique: Topics by E-print Network

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

    artificial and natural icing conditions MIT - DSpace Summary: Real-time measurements of ice growth during artificial and natural icing conditions were conducted using an...

  18. artificial satellites: Topics by E-print Network

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

    been carried out by two different groups of people combining artificial intelligence and artificial life techniques with those of virtual environments Luck, Michael 239 Satellite...

  19. artificial intelligence consortium: Topics by E-print Network

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

    cycle, artificial intelligence. 1 INTRODUCTION Paris-Sud XI, Universit de 142 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  20. artificial intelligence technical: Topics by E-print Network

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

    cycle, artificial intelligence. 1 INTRODUCTION Paris-Sud XI, Universit de 155 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  1. artificial intelligence expert: Topics by E-print Network

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

    cycle, artificial intelligence. 1 INTRODUCTION Paris-Sud XI, Universit de 155 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  2. artificial intelligence workflow: Topics by E-print Network

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

    cycle, artificial intelligence. 1 INTRODUCTION Paris-Sud XI, Universit de 143 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  3. artificial intelligence methods: Topics by E-print Network

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

    cycle, artificial intelligence. 1 INTRODUCTION Paris-Sud XI, Universit de 149 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  4. artificial intelligence method: Topics by E-print Network

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

    cycle, artificial intelligence. 1 INTRODUCTION Paris-Sud XI, Universit de 149 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  5. applied artificial intelligence: Topics by E-print Network

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

    cycle, artificial intelligence. 1 INTRODUCTION Paris-Sud XI, Universit de 155 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  6. artificial intelligence tools: Topics by E-print Network

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

    cycle, artificial intelligence. 1 INTRODUCTION Paris-Sud XI, Universit de 163 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  7. artificial intelligence search: Topics by E-print Network

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

    cycle, artificial intelligence. 1 INTRODUCTION Paris-Sud XI, Universit de 164 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  8. Artificial neural networks in models of specialization, guild evolution

    E-Print Network [OSTI]

    Getz, Wayne M.

    Artificial neural networks in models of specialization, guild evolution and sympatric speciation on host choice, employing artificial neural networks as models for the host recognition system

  9. artificial immune pattern: Topics by E-print Network

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

    the field of Artificial Intelligence and Machine Learning. By developing abstractDynamic Pattern Recognition in Sport by Means of Artificial Neural Networks Jrgen Perl, Peter...

  10. Artificial Production Review Report and Recommendations of the

    E-Print Network [OSTI]

    .......................................................................................................... 21 III. Implementing Reform in Artificial Production Policy and Practices. The Council's recommendations A. Implementing artificial production reform policies The region needs action

  11. artificial vision prostheses: Topics by E-print Network

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

    21 22 23 24 25 Next Page Last Page Topic Index 1 Artificial Vision Image Registration Computer Technologies and Information Sciences Websites Summary: Artificial Vision Image...

  12. DOE-RL-92-36, Hanford Site Hoisting and Rigging Manual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration wouldDECOMPOSITION OF CALCIUMCOSTDOENuclear1 of 1Retina BradleyDOE-OROView

  13. DOE-RL-92-36, Hanford Site Hoisting and Rigging Manual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration wouldDECOMPOSITION OF CALCIUMCOSTDOENuclear1 of 1Retina BradleyDOE-OROView6.0

  14. Quality Control by Artificial Vision

    SciTech Connect (OSTI)

    Lam, Edmond Y. [University of Hong Kong, The; Gleason, Shaun Scott [ORNL; Niel, Kurt S. [Upper Austria University of Applied Science, Engineering and Environmental Studies

    2010-01-01T23:59:59.000Z

    Computational technology has fundamentally changed many aspects of our lives. One clear evidence is the development of artificial-vision systems, which have effectively automated many manual tasks ranging from quality inspection to quantitative assessment. In many cases, these machine-vision systems are even preferred over manual ones due to their repeatability and high precision. Such advantages come from significant research efforts in advancing sensor technology, illumination, computational hardware, and image-processing algorithms. Similar to the Special Section on Quality Control by Artificial Vision published two years ago in Volume 17, Issue 3 of the Journal of Electronic Imaging, the present one invited papers relevant to fundamental technology improvements to foster quality control by artificial vision, and fine-tuned the technology for specific applications. We aim to balance both theoretical and applied work pertinent to this special section theme. Consequently, we have seven high-quality papers resulting from the stringent peer-reviewing process in place at the Journal of Electronic Imaging. Some of the papers contain extended treatment of the authors work presented at the SPIE Image Processing: Machine Vision Applications conference and the International Conference on Quality Control by Artificial Vision. On the broad application side, Liu et al. propose an unsupervised texture image segmentation scheme. Using a multilayer data condensation spectral clustering algorithm together with wavelet transform, they demonstrate the effectiveness of their approach on both texture and synthetic aperture radar images. A problem related to image segmentation is image extraction. For this, O'Leary et al. investigate the theory of polynomial moments and show how these moments can be compared to classical filters. They also show how to use the discrete polynomial-basis functions for the extraction of 3-D embossed digits, demonstrating superiority over Fourier-basis functions for this task. Image registration is another important task for machine vision. Bingham and Arrowood investigate the implementation and results in applying Fourier phase matching for projection registration, with a particular focus on nondestructive testing using computed tomography. Readers interested in enriching their arsenal of image-processing algorithms for machine-vision tasks should find these papers enriching. Meanwhile, we have four papers dealing with more specific machine-vision tasks. The first one, Yahiaoui et al., is quantitative in nature, using machine vision for real-time passenger counting. Occulsion is a common problem in counting objects and people, and they circumvent this issue with a dense stereovision system, achieving 97 to 99% accuracy in their tests. On the other hand, the second paper by Oswald-Tranta et al. focuses on thermographic crack detection. An infrared camera is used to detect inhomogeneities, which may indicate surface cracks. They describe the various steps in developing fully automated testing equipment aimed at a high throughput. Another paper describing an inspection system is Molleda et al., which handles flatness inspection of rolled products. They employ optical-laser triangulation and 3-D surface reconstruction for this task, showing how these can be achieved in real time. Last but not least, Presles et al. propose a way to monitor the particle-size distribution of batch crystallization processes. This is achieved through a new in situ imaging probe and image-analysis methods. While it is unlikely any reader may be working on these four specific problems at the same time, we are confident that readers will find these papers inspiring and potentially helpful to their own machine-vision system developments.

  15. Self-Assembly and Mass Transport in Membranes for Artificial Photosynthesis

    E-Print Network [OSTI]

    Modestino, Miguel Antonio

    2013-01-01T23:59:59.000Z

    for artificial photosynthesis systems ..6Photosynthesis 7up process of artificial photosynthesis membranes and open

  16. DOE-FLEX: DOE's Telework Program

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

    2013-02-11T23:59:59.000Z

    The order establishes the requirements and responsibilities for the Departments telework program. Cancels DOE N 314.1.

  17. 06-2012 | netl.doe.gov

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032) - Energy Innovation Portal AdvancedUsing Artificial2 NETL-RUA:

  18. 06-2013 | netl.doe.gov

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032) - Energy Innovation Portal AdvancedUsing Artificial2 NETL-RUA:3

  19. 06-2014 | netl.doe.gov

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032) - Energy Innovation Portal AdvancedUsing Artificial2

  20. 06-2015 | netl.doe.gov

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032) - Energy Innovation Portal AdvancedUsing Artificial2June 2015

  1. 06555_Polymers | netl.doe.gov

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032) - Energy Innovation Portal AdvancedUsing Artificial2June

  2. 07-2014 | netl.doe.gov

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032) - Energy Innovation Portal AdvancedUsing Artificial2JuneJuly

  3. DOE MENTOR-PROTÉGÉ

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

    small business subcontracting goal, and statutory socio-economic goal 2 HISTORY OF DOE MENTOR-PROTG PROGRAM June 9, 1995 The DOE Mentor Protg Program Initiative was...

  4. DOE MENTOR-PROTÉGÉ

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

    business subcontracting goal, and statutory socio-economic goals 2 HISTORY OF DOE MENTOR-PROTG PROGRAM June 9, 1995 The DOE Mentor Protg Program Initiative was...

  5. Exposure to As, Cd and Pb-mixture impairs myelin and axon development in rat brain, optic nerve and retina

    SciTech Connect (OSTI)

    Rai, Nagendra Kumar; Ashok, Anushruti [Academy of Scientific and Innovative Research (India); Developmental Toxicology, Council of Scientific and Industrial Research-Indian Institute of Toxicology Research (CSIR-IITR) (India); Rai, Asit; Tripathi, Sachin [Developmental Toxicology, Council of Scientific and Industrial Research-Indian Institute of Toxicology Research (CSIR-IITR) (India); Nagar, Geet Kumar [Endocrinology, CSIR-Central Drug Research Institute (CSIR-CDRI) (India); Mitra, Kalyan [Electron Microscopy Unit, CSIR-CDRI, Lucknow 226001 (India); Bandyopadhyay, Sanghamitra, E-mail: sanghmitra@iitr.res.in [Academy of Scientific and Innovative Research (India); Developmental Toxicology, Council of Scientific and Industrial Research-Indian Institute of Toxicology Research (CSIR-IITR) (India)

    2013-12-01T23:59:59.000Z

    Arsenic (As), lead (Pb) and cadmium (Cd) are the major metal contaminants of ground water in India. We have reported the toxic effect of their mixture (metal mixture, MM), at human relevant doses, on developing rat astrocytes. Astrocyte damage has been shown to be associated with myelin disintegration in CNS. We, therefore, hypothesized that the MM would perturb myelinating white matter in cerebral cortex, optic nerve (O.N.) and retina. We observed modulation in the levels of myelin and axon proteins, such as myelin basic protein (MBP), proteolipid protein, 2?-, 3?-cyclic-nucleotide-3?-phosphodiesterase, myelin-associated glycoprotein and neurofilament (NF) in the brain of developing rats. Dose and time-dependent synergistic toxic effect was noted. The MBP- and NF-immunolabeling, as well as luxol-fast blue (LFB) staining demonstrated a reduction in the area of intact myelin-fiber, and an increase in vacuolated axons, especially in the corpus-callosum. Transmission electron microscopy (TEM) of O.N. revealed a reduction in myelin thickness and axon-density. The immunolabeling with MBP, NF, and LFB staining in O.N. supported the TEM data. The hematoxylin and eosin staining of retina displayed a decrease in the thickness of nerve-fiber, plexiform-layer, and retinal ganglion cell (RGC) count. Investigating the mechanism revealed a loss in glutamine synthetase activity in the cerebral cortex and O.N., and a fall in the brain derived neurotrophic factor in retina. An enhanced apoptosis in MBP, NF and Brn3b-containing cells justified the diminution in myelinating axons in CNS. Our findings for the first time indicate white matter damage by MM, which may have significance in neurodevelopmental-pediatrics, neurotoxicology and retinal-cell biology. - Highlights: • As, Cd and Pb-mixture, at human relevant dose, demyelinate developing rat CNS. • The attenuation in myelin and axon is synergistic. • The optic nerve and brain demonstrate reduced glutamine synthetase. • The retina exhibits diminished neurotrophin levels and cellular differentiation. • The toxic effect is apoptotic.

  6. Artificial Alpha-Active Bismuth Isotopes

    E-Print Network [OSTI]

    Templeton, D.H.

    2010-01-01T23:59:59.000Z

    Laboratory Contract No. W-7405-eng-48 ARTIFICIAL ALPHA-thD." 203. Contract No. W-7405-eng-48 To be published as awith the Atom~c N~mber W~7405- eng-48 Enerp:y Commission in

  7. Artificial Intelligence for the Smart Grid

    E-Print Network [OSTI]

    Artificial Intelligence for the Smart Grid NICTA is developing technology to automate costs. The Future · Cover more of Smart Grid control (diagnosis, reconfiguration, protection, voltage) products for the Smart Grid. Contact Details: Technical Jussi Rintanen Canberra Research Laboratory Tel

  8. DOE Sustainability SPOtlight: Special Edition 2013 DOE Sustainability...

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

    DOE Sustainability SPOtlight: Special Edition 2013 DOE Sustainability Awards DOE Sustainability SPOtlight: Special Edition 2013 DOE Sustainability Awards Newsletter highlights the...

  9. DOE's General Counsel Determines Sudan Act Does Not Bar Areva...

    Office of Environmental Management (EM)

    DOE's General Counsel Determines Sudan Act Does Not Bar Areva Enrichment Services LLC Loan Application DOE's General Counsel Determines Sudan Act Does Not Bar Areva Enrichment...

  10. Observation of the cervix and artificial insemination in captive white-tailed deer

    E-Print Network [OSTI]

    Magyar, Stephen John

    1986-01-01T23:59:59.000Z

    OF SCIENCE August 1986 Major Subject: Veterinary Physiology OBSERVATION OF THE CERVIX AND ARTIFICIAL INSEMINATION IN CAPTIVE WHITE-TAILED DEER A Thesis by STEPHEN JOHN MAGYAR Approved as to style and content by: Stephen W. J. Sea er (Chairman of Co.... , Texas ASM University Chairman of Advisory Committee: Dr. Stephen W. J. Seager Five does and one buck (penile deviated and vasectomized) were used during the breeding seasons of 1984- 85 and 1985-86. The does were checked for estrus by introducing...

  11. DOE Mentoring Program

    Broader source: Energy.gov [DOE]

    The Office of Learning and Workforce Development coordinates this mentoring program for DOE Federal Employees.

  12. DOE Lessons Learned

    Broader source: Energy.gov [DOE]

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

  13. Combining Image and Non-Image Data for Automatic Detection of Retina Disease in a Telemedicine Network

    SciTech Connect (OSTI)

    Aykac, Deniz [ORNL; Chaum, Edward [University of Tennessee, Knoxville (UTK); Fox, Karen [Delta Health Alliance; Garg, Seema [University of North Carolina; Giancardo, Luca [ORNL; Karnowski, Thomas Paul [ORNL; Li, Yaquin [University of Tennessee, Knoxville (UTK); Nichols, Trent L [ORNL; Tobin Jr, Kenneth William [ORNL

    2011-01-01T23:59:59.000Z

    A telemedicine network with retina cameras and automated quality control, physiological feature location, and lesion/anomaly detection is a low-cost way of achieving broad-based screening for diabetic retinopathy (DR) and other eye diseases. In the process of a routine eye-screening examination, other non-image data is often available which may be useful in automated diagnosis of disease. In this work, we report on the results of combining this non-image data with image data, using the protocol and processing steps of a prototype system for automated disease diagnosis of retina examinations from a telemedicine network. The system includes quality assessments, automated physiology detection, and automated lesion detection to create an archive of known cases. Non-image data such as diabetes onset date and hemoglobin A1c (HgA1c) for each patient examination are included as well, and the system is used to create a content-based image retrieval engine capable of automated diagnosis of disease into 'normal' and 'abnormal' categories. The system achieves a sensitivity and specificity of 91.2% and 71.6% using hold-one-out validation testing.

  14. Discovery of a Novel Prolactin in Non-Mammalian Vertebrates: Evolutionary Perspectives and Its Involvement in Teleost Retina Development

    E-Print Network [OSTI]

    Xigui Huang; Michelle N. Y. Hui; Yun Liu; Don S. H. Yuen; Yong Zhang; Wood Yee Chan; Hao Ran; Shuk Han Cheng; Christopher H. K. Cheng

    Background: The three pituitary hormones, viz. prolactin (PRL), growth hormone (GH) and somatolactin (SL), together with the mammalian placental lactogen (PL), constitute a gene family of hormones with similar gene structure and encoded protein sequences. These hormones are believed to have evolved from a common ancestral gene through several rounds of gene duplication and subsequent divergence. Principal Findings: In this study, we have identified a new PRL-like gene in non-mammalian vertebrates through bioinformatics and molecular cloning means. Phylogenetic analyses showed that this novel protein is homologous to the previously identified PRL. A receptor transactivation assay further showed that this novel protein could bind to PRL receptor to trigger the downstream post-receptor event, indicating that it is biologically active. In view of its close phylogenetic relationship with PRL and also its ability to activate PRL receptor, we name it as PRL2 and the previously identified PRL as PRL1. All the newly discovered PRL2 sequences possess three conserved disulfide linkages with the exception of the shark PRL2 which has only two. In sharp contrast to the classical PRL1 which is predominantly expressed in the pituitary, PRL2 was found to be mainly expressed in the eye and brain of the zebrafish but not in the pituitary. A largely reduced inner nuclear layer of the retina was observed after morpholino knockdown of zebrafish PRL2, indicating its role on retina development in teleost.

  15. DOE-FLEX: DOE's Telework Program

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

    2011-07-05T23:59:59.000Z

    The directive establishes the requirements and responsibilities for the Department’s telework program. Canceled by DOE O 314.1.

  16. One approach to artificial photosynthesis

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)IntegratedSpeeding access toTest and Evaluation |quasicrystals | PrincetonOne

  17. Solar Fuels via Artificial Photosynthesis

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol HomeFacebookScholarship Fund3Biology| Nationalof6A2-45832 SeptemberSolar Fuels

  18. Review of the Impacts of Crumb Rubber in Artificial Turf Applications

    E-Print Network [OSTI]

    Simon, Rachel

    2010-01-01T23:59:59.000Z

    of the primary benefits of artificial systems. However, sucheffects linked to artificial turf systems – Final report?,of the primary benefits of artificial systems. However, such

  19. Building the Second Mind: 1956 and the Origins of Artificial Intelligence Computing

    E-Print Network [OSTI]

    Skinner, Rebecca Elizabeth

    2012-01-01T23:59:59.000Z

    Bartee, T. , ed. Expert Systems and Artificial Intelligence:Bartee, T. , ed. Expert Systems and Artificial Intelligence:Bartee, T. , ed. Expert Systems and Artificial Intelligence:

  20. Tea classification based on artificial olfaction using bionic olfactory neural network

    E-Print Network [OSTI]

    Yang, X L; Fu, J; Lou, Z G; Wang, L Y; Li, G; Freeman, Walter J III

    2006-01-01T23:59:59.000Z

    conventional artificial neural network (ANN), chaos shoulda con- ventional artificial neural network, BP network, isconventional artificial neural network, it is an accurate

  1. Prediction of Burr Formation during Face Milling Using an Artificial Neural Network with Optimized Cutting Conditions

    E-Print Network [OSTI]

    Lee, S H; Dornfeld, D A

    2007-01-01T23:59:59.000Z

    Appli- cation of artificial neural network in laser weldingwith minimal heights. Artificial neural network and non-milling using an artificial neural network with optimized

  2. Incorporating geographical factors with artificial neural networks to predict reference values of erythrocyte sedimentation rate

    E-Print Network [OSTI]

    Yang, Qingsheng; Mwenda, Kevin M; Ge, Miao

    2013-01-01T23:59:59.000Z

    reasoning and artificial neural network techniques forfactors with artificial neural networks to predict referencefactors with artificial neural networks to predict reference

  3. Pseudo dynamic transitional modeling of building heating energy demand using artificial neural network

    E-Print Network [OSTI]

    Paudel, Subodh; Elmtiri, Mohamed; Kling, Wil L; Corre, Olivier Le; Lacarriere, Bruno

    2014-01-01T23:59:59.000Z

    simulation and artificial neural network for forecastingloads using artificial neural networks, 2001 World Congress,consumption by using artificial neural network, Advances in

  4. Extension of DOE Directives

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

    2005-03-18T23:59:59.000Z

    The following directives are extended until 3-18-06: DOE N 205.8, Cyber Security Requirements for Wireless Devices and Information Systems, dated 2-11-04; DOE N 205.9, Certification and Accreditation Process for Information Systems Including National Security Systems, dated 02-19-04; DOE N 205.10, Cyber Security Requirements for Risk Management, dated 02-19-04; DOE N 205.11, Security Requirements for Remote Access to DOE and Applicable Contractor Information Technology Systems, dated 2-19-04. DOE N 205.12, Clearing, Sanitizing, and Destroying Information System Storage Media, Memory Devices, and Other Related Hardware, dated 2-19-04.

  5. Artificial Intelligence Techniques for Steam Generator Modelling

    E-Print Network [OSTI]

    Wright, Sarah

    2008-01-01T23:59:59.000Z

    This paper investigates the use of different Artificial Intelligence methods to predict the values of several continuous variables from a Steam Generator. The objective was to determine how the different artificial intelligence methods performed in making predictions on the given dataset. The artificial intelligence methods evaluated were Neural Networks, Support Vector Machines, and Adaptive Neuro-Fuzzy Inference Systems. The types of neural networks investigated were Multi-Layer Perceptions, and Radial Basis Function. Bayesian and committee techniques were applied to these neural networks. Each of the AI methods considered was simulated in Matlab. The results of the simulations showed that all the AI methods were capable of predicting the Steam Generator data reasonably accurately. However, the Adaptive Neuro-Fuzzy Inference system out performed the other methods in terms of accuracy and ease of implementation, while still achieving a fast execution time as well as a reasonable training time.

  6. Vintage DOE: Accomplishments

    Broader source: Energy.gov [DOE]

    This vintage video, from the Office of Scientific and Technical Information and the U.S. Department of Energy Office of Science, does a great job detailing DOE's accomplishments.

  7. DOE-STD-1104

    Office of Environmental Management (EM)

    Implementation 1 DOE-STD-1104-2014 Roll-out AU Roll-out Contacts 2 Garrett Smith, Director, Nuclear Safety Basis and Facility Design, Office of Nuclear Safety (DOE...

  8. DOE Sustainability SPOtlight

    Broader source: Energy.gov [DOE]

    Newsletter highlights the recipients of the U.S. Department of Energy (DOE) Sustainability Performance Office (SPO) 2014 Sustainability Awards.

  9. Extension of DOE Directives

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

    2003-02-24T23:59:59.000Z

    This Notice extends the following directives until 2/16/04: DOE N 205.2, Foreign National Access to DOE Cyber Systems, and DOE N 205.3, Password Generation, Protection, and Use, dated 11/23/99-7/1/00.

  10. Extension of DOE Directives

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

    2004-02-12T23:59:59.000Z

    The following directives are extended until 8-12-04. DOE N 205.2, Foreign National Access to DOE Cyber Systems, dated 11/1/99. DOE N 205.3, Password Generation, Protection, and Use, dated 11/23/99.

  11. Extension of DOE Directives

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

    2004-08-12T23:59:59.000Z

    The following directives are extended until 8-12-05: DOE N 205.2, Foreign National Access to DOE Cyber Security Systems, dated 11-1-99 and DOE N 205.3, Password Generation, Protection, and Use, dated 11-23-99. No cancellations.

  12. Extension of DOE Directives

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

    2005-09-15T23:59:59.000Z

    Effective immediately, DOE N 205.2, Foreign National Access to DOE Cyber Systems, dated 11-1-99, and DOE N 205.3, Password Generation, Protection, and Use, dated 11-23-99, are extended until 9-30-06, unless sooner rescinded.

  13. artificial intelligence approach: Topics by E-print Network

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

    ... Brady, Michael 1984-02-01 16 An artificial intelligence approach to model-based gas lift troubleshooting Texas A&M University - TxSpace Summary: AN ARTIFICIAL INTELLIGENCE...

  14. artificial intelligence approaches: Topics by E-print Network

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

    ... Brady, Michael 1984-02-01 16 An artificial intelligence approach to model-based gas lift troubleshooting Texas A&M University - TxSpace Summary: AN ARTIFICIAL INTELLIGENCE...

  15. artificial lifts: Topics by E-print Network

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

    Page Last Page Topic Index 1 An artificial intelligence approach to model-based gas lift troubleshooting Texas A&M University - TxSpace Summary: AN ARTIFICIAL INTELLIGENCE...

  16. artificial heart pump: Topics by E-print Network

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

    frequently to control medical devices such as artificial heart or robotic surgery system. While much (KAOC). It is a state-of-the-art artificial heart which completed animal...

  17. Characterization of Shape Memory Alloys Using Artificial Neural Networks

    E-Print Network [OSTI]

    Valasek, John

    1 Characterization of Shape Memory Alloys Using Artificial Neural Networks Jim Henrickson, Kenton ­ Shape Memory Alloys ­ Artificial Neural Networks Process ­ Implement Shape Memory Alloy Model;3 Introduction Shape memory alloys (SMAs) ­ Active material: material that undergoes macroscopic change

  18. DOE Testing Reveals Samsung Refrigerator Does Not Meet Energy...

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

    Articles DOE Energy Star Testing Reveals Inefficient ASKO Dishwasher Electrolux Gibson Air Conditioner and Equator Clothes Washer Fail DOE Energy Star Testing DOE Refers Four...

  19. artificial intelligence techniques: Topics by E-print Network

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

    vs. "Conventional Control" Intelligent Control: Basic Techniques 164 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  20. Creating Artificial Radiation Belts in the Lab

    E-Print Network [OSTI]

    Mauel, Michael E.

    Current: Trapped, High- Protons (15-250 keV) · Greatly intensified during geomagnetic storms · Ti ~ 7Te Jeff #12;Outline · The Earth's radiation belts and ring current · Fast-electron interchange instability to measure the artificial radiation belt produced by the Argus explosions (1958). (Explosions continued

  1. ARTIFICIAL INTELLIGENCE ] Learning One Subprocedure per Lesson

    E-Print Network [OSTI]

    VanLehn, Kurt

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

  2. Hindawi Publishing Corporation Advances in Artificial Intelligence

    E-Print Network [OSTI]

    Hexmoor, Henry

    Coulomb's Law Pejman Kamkarian1 and Henry Hexmoor2 1 Electrical and Computer Engineering Department, supervisors can guide people to safety. In this paper, we combine Coulomb's electrical law, graph theoryHindawi Publishing Corporation Advances in Artificial Intelligence Volume 2012, Article ID 340615

  3. Fish Foraging on an Artificial Reef in Puget Sound, Washington

    E-Print Network [OSTI]

    Fish Foraging on an Artificial Reef in Puget Sound, Washington GREGORY J. HUECKEL and R. LEE with an artificial reef in Puget Sound to increase our knowledge of the changes in the structure of the fish com with an artificial reef in Puget Sound, Wash. Stomachs ofthesefish species, dissectedfrom 609 fish speared on, around

  4. Minerva: An Artificial Intelligent System for Composition of Museums

    E-Print Network [OSTI]

    Amigoni, Francesco

    Minerva: An Artificial Intelligent System for Composition of Museums Francesco Amigoni, Viola. In this paper, we present a novel artificial in- telligence system, called Minerva, devoted to support one: computers and robots. The purpose of this paper is to present a novel system of artificial intelligence

  5. Artificial activation of toxinantitoxin systems as an antibacterial strategy

    E-Print Network [OSTI]

    Hergenrother, Paul J.

    Artificial activation of toxin­antitoxin systems as an antibacterial strategy Julia J. Williams1 genomes has been revealed. The exploitation of TA systems as an antibacterial strategy via artificial advances, and challenges associated with artificial toxin activation. Toxin­antitoxin systems

  6. A New Classifier Based on Resource Limited Artificial Immune Systems

    E-Print Network [OSTI]

    Kent, University of

    A New Classifier Based on Resource Limited Artificial Immune Systems Andrew Watkins Computing, and the rock/metal classification problem for mine detection. I. INTRODUCTION Artificial Immune Systems classification system based on Artificial Immune Systems, with modest success [5]. In this paper, we introduce

  7. The Danger Theory and Its Application to Artificial Immune Systems

    E-Print Network [OSTI]

    Somayaji, Anil

    The Danger Theory and Its Application to Artificial Immune Systems Uwe Aickelin1 , Steve Cayzer.aickelin@bradford.ac.uk, Steve_Cayzer@hp.com artificial immune systems, danger theory Over the last decade, a new idea in the Artificial Immune Systems world. A number of potential application areas are then used to provide a framing

  8. Levins and the Lure of Artificial Worlds Seth Bullock

    E-Print Network [OSTI]

    Levins and the Lure of Artificial Worlds Seth Bullock Institute for Complex Systems Simulation of empirical data on the real-world systems being simulated; that is, to treat simulations as `artificial). Others claim that simulations of artificial living systems are models, but that in the right

  9. Artificial Immune Systems: A Novel Paradigm to Pattern Recognition

    E-Print Network [OSTI]

    Kent, University of

    Artificial Immune Systems: A Novel Paradigm to Pattern Recognition L. N. de Castro and J. Timmis to perform pattern recognition, named Artificial Immune Systems (AIS). AIS take inspiration from the immune neural networks as pattern recognition paradigms. Keywords: Artificial Immune Systems, Negative Selection

  10. A Taxonomy of the Evolution of Artificial Neural Systems

    E-Print Network [OSTI]

    Mayer, Helmut A.

    A Taxonomy of the Evolution of Artificial Neural Systems Helmut A. Mayer Abstract. Biological of higher organisms, and the very specialized artificial neural systems mostly applied to a single, well in order to categorize the (co)evolution of various components of an artificial neural system (ANS). We

  11. Safety Lifecycle for Developing Safety Critical Artificial Neural Networks

    E-Print Network [OSTI]

    Kelly, Tim

    Safety Lifecycle for Developing Safety Critical Artificial Neural Networks Zeshan Kurd, Tim Kelly.kelly}@cs.york.ac.uk Abstract. Artificial neural networks are employed in many areas of industry such as medicine and defence a safety lifecycle for artificial neural networks. The lifecycle fo- cuses on managing behaviour

  12. Using Artificial Neural Networks to Play Pong Luis E. Ramirez

    E-Print Network [OSTI]

    Meeden, Lisa A.

    Using Artificial Neural Networks to Play Pong Luis E. Ramirez May 9th, 2014 Abstract This paper examines the possibility of using Artificial Neural Networks to control AI for simple computer games Stanley that evolves artificial neural network topologies simultane- ously with the edge weights[3

  13. Devices and Circuits for Nanoelectronic Implementation of Artificial Neural Networks

    E-Print Network [OSTI]

    Devices and Circuits for Nanoelectronic Implementation of Artificial Neural Networks A Dissertation Implementation of Artificial Neural Networks by ¨Ozg¨ur T¨urel Doctor of Philosophy in Physics and Astronomy. Unfortunately, most artificial neural networks, either software or hardware, do not provide either the speed

  14. Parametric Optimization of Artificial Neural Networks for Signal Approximation Applications

    E-Print Network [OSTI]

    Parametric Optimization of Artificial Neural Networks for Signal Approximation Applications J. Lane.thames@gatech.edu randal.abler@gatech.edu dirk.schaefer@me.gatech.edu ABSTRACT Artificial neural networks are used to solve set of configuration parameters for artificial neural networks such that the network's approximation

  15. Safety Criteria and Safety Lifecycle for Artificial Neural Networks

    E-Print Network [OSTI]

    Kelly, Tim

    Safety Criteria and Safety Lifecycle for Artificial Neural Networks Zeshan Kurd, Tim Kelly and Jim. The paper also presents a safety lifecycle for artificial neural networks. This lifecycle focuses, knowledge. INTRODUCTION Artificial neural networks (ANNs) are used in many safety-related applications

  16. REGULARIZATION OF A PROGRAMMED RECURRENT ARTIFICIAL NEURAL NETWORK

    E-Print Network [OSTI]

    Meade, Andrew J.

    REGULARIZATION OF A PROGRAMMED RECURRENT ARTIFICIAL NEURAL NETWORK Andrew J. Meade, Jr. Department ARTIFICIAL NEURAL NETWORK Andrew J. Meade, Jr. Department of Mechanical Engineering and Materials Science into an artificial neural network architecture. GTR provides a rational means of combining theoretical models

  17. Applications of artificial neural networks predicting macroinvertebrates in freshwaters

    E-Print Network [OSTI]

    Lek, Sovan

    Applications of artificial neural networks predicting macroinvertebrates in freshwaters Peter L. M Artificial neural networks (ANNs) are non-linear mapping structures that can be applied for predictive P. L suitability models can be very valuable. Data driven methods such as artificial neural net- works (ANNs

  18. Chaotic time series prediction using artificial neural networks

    SciTech Connect (OSTI)

    Bartlett, E.B.

    1991-12-31T23:59:59.000Z

    This paper describes the use of artificial neural networks to model the complex oscillations defined by a chaotic Verhuist animal population dynamic. A predictive artificial neural network model is developed and tested, and results of computer simulations are given. These results show that the artificial neural network model predicts the chaotic time series with various initial conditions, growth parameters, or noise.

  19. Chaotic time series prediction using artificial neural networks

    SciTech Connect (OSTI)

    Bartlett, E.B.

    1991-01-01T23:59:59.000Z

    This paper describes the use of artificial neural networks to model the complex oscillations defined by a chaotic Verhuist animal population dynamic. A predictive artificial neural network model is developed and tested, and results of computer simulations are given. These results show that the artificial neural network model predicts the chaotic time series with various initial conditions, growth parameters, or noise.

  20. Lung, Artificial: Basic Principles and Current Applications William J. Federspiel

    E-Print Network [OSTI]

    Federspiel, William J.

    Lung, Artificial: Basic Principles and Current Applications William J. Federspiel Kristie A. Henchir University of Pittsburgh, Pittsburgh, Pennsylvania, U.S.A. INTRODUCTION Artificial lungs currently of the lung, which is to oxygenate the blood and remove carbon dioxide. Current artificial lungs are also

  1. Evaluation of Plasma Resistant Hollow Fiber Membranes For Artificial Lungs

    E-Print Network [OSTI]

    Federspiel, William J.

    Evaluation of Plasma Resistant Hollow Fiber Membranes For Artificial Lungs HEIDE J. EASH,* HEATHER in artificial lungs (ox- ygenators) undergo plasma leakage (or wetting) in which blood plasma slowly fills2 gas permeance of a plasma resistant fiber imposes the greatest constraint upon artificial lung

  2. Artificial Life p1 RJM 08/01/14 SE4SI12 Artificial Life Part A

    E-Print Network [OSTI]

    Mitchell, Richard

    Artificial Life p1 RJM 08/01/14 SE4SI12 Artificial Life ­ Part A © Dr Richard Mitchell 2014 Dr and Applications #12;p2 RJM 08/01/14 SE4SI12 Artificial Life ­ Part A © Dr Richard Mitchell 2014 Aims of Module Aims: Swarm Intelligence and Artificial Life are two active areas of research in computational

  3. 7. Distributed AI D. Keil Artificial Intelligence 10/13 1D. Keil Artificial Intelligence 7. Distributed AI 10/13

    E-Print Network [OSTI]

    Keil, David M.

    the relation between distributed artificial intelligence and self- organized systems D. Keil Artificial7. Distributed AI D. Keil Artificial Intelligence 10/13 1D. Keil Artificial Intelligence 7. Distributed AI 10/13 David M. Keil, Framingham State University CSCI 400 Artificial Intelligence 7

  4. DOE handbook electrical safety

    SciTech Connect (OSTI)

    NONE

    1998-01-01T23:59:59.000Z

    Electrical Safety Handbook presents the Department of Energy (DOE) safety standards for DOE field offices or facilities involved in the use of electrical energy. It has been prepared to provide a uniform set of electrical safety guidance and information for DOE installations to effect a reduction or elimination of risks associated with the use of electrical energy. The objectives of this handbook are to enhance electrical safety awareness and mitigate electrical hazards to employees, the public, and the environment.

  5. DOE/CF-0088

    Office of Environmental Management (EM)

    used to effectively improve coordination between other parts of DOE. EM has developed 16 corporate performance measures to enable the program to monitor annual and life-cycle...

  6. DOE Electricity Advisory Committee

    Office of Environmental Management (EM)

    limiters (SCCL) or fault current limiters are a family of technologies that can be applied to utility power delivery systems to address the growing problems associated with DOE...

  7. DOE Technical Assistance Program

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

    Designing Effective Residential Retrofit Programs eere.energy.gov The Parker Ranch installation in Hawaii DOE Technical Assistance Program Quality Assurance for Residential...

  8. DOE Building Technologies Program

    Energy Savers [EERE]

    501c3 * DOE will continue to support SEED, and Lawrence Berkeley National Laboratory (LBNL) will provide oversight of the code, while the permanent management plan is established...

  9. DOE Explosives Safety Manual

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

    1996-03-29T23:59:59.000Z

    This Manual describes DOE's explosives safety requirements applicable to operations involving the development, testing, handling, and processing of explosives or assemblies containing explosives.

  10. DOE Radiation Records Contacts List

    Broader source: Energy.gov [DOE]

    DOE radiation records contact list for individuals to obtain records of occupational exposure directly from a DOE site.

  11. DOE standard: Radiological control

    SciTech Connect (OSTI)

    Not Available

    1999-07-01T23:59:59.000Z

    The Department of Energy (DOE) has developed this Standard to assist line managers in meeting their responsibilities for implementing occupational radiological control programs. DOE has established regulatory requirements for occupational radiation protection in Title 10 of the Code of Federal Regulations, Part 835 (10 CFR 835), ``Occupational Radiation Protection``. Failure to comply with these requirements may lead to appropriate enforcement actions as authorized under the Price Anderson Act Amendments (PAAA). While this Standard does not establish requirements, it does restate, paraphrase, or cite many (but not all) of the requirements of 10 CFR 835 and related documents (e.g., occupational safety and health, hazardous materials transportation, and environmental protection standards). Because of the wide range of activities undertaken by DOE and the varying requirements affecting these activities, DOE does not believe that it would be practical or useful to identify and reproduce the entire range of health and safety requirements in this Standard and therefore has not done so. In all cases, DOE cautions the user to review any underlying regulatory and contractual requirements and the primary guidance documents in their original context to ensure that the site program is adequate to ensure continuing compliance with the applicable requirements. To assist its operating entities in achieving and maintaining compliance with the requirements of 10 CFR 835, DOE has established its primary regulatory guidance in the DOE G 441.1 series of Guides. This Standard supplements the DOE G 441.1 series of Guides and serves as a secondary source of guidance for achieving compliance with 10 CFR 835.

  12. Artificial neural network cardiopulmonary modeling and diagnosis

    DOE Patents [OSTI]

    Kangas, Lars J. (Richland, WA); Keller, Paul E. (Richland, WA)

    1997-01-01T23:59:59.000Z

    The present invention is a method of diagnosing a cardiopulmonary condition in an individual by comparing data from a progressive multi-stage test for the individual to a non-linear multi-variate model, preferably a recurrent artificial neural network having sensor fusion. The present invention relies on a cardiovascular model developed from physiological measurements of an individual. Any differences between the modeled parameters and the parameters of an individual at a given time are used for diagnosis.

  13. Artificial neural network cardiopulmonary modeling and diagnosis

    DOE Patents [OSTI]

    Kangas, L.J.; Keller, P.E.

    1997-10-28T23:59:59.000Z

    The present invention is a method of diagnosing a cardiopulmonary condition in an individual by comparing data from a progressive multi-stage test for the individual to a non-linear multi-variate model, preferably a recurrent artificial neural network having sensor fusion. The present invention relies on a cardiovascular model developed from physiological measurements of an individual. Any differences between the modeled parameters and the parameters of an individual at a given time are used for diagnosis. 12 figs.

  14. Ground state lost but degeneracy found: the effective thermodynamics of artificial spin ice

    E-Print Network [OSTI]

    Cristiano Nisoli; R. F. Wang; Jie Li; William F. McConville; Paul E. Lammert; Peter Schiffer; Vincent H. Crespi

    2007-04-16T23:59:59.000Z

    We analyze the rotational demagnetization of artificial spin ice, a recently realized array of nanoscale single-domain ferromagnetic islands. Demagnetization does not anneal this model system into its anti-ferromagnetic ground state: the moments have a static disordered configuration similar to the frozen state of the spin ice materials. We demonstrate that this athermal system has an effective extensive degeneracy and we introduce a formalism that can predict the populations of local states in this ice-like system with no adjustable parameters.

  15. Testing Time Reversal Symmetry in Artificial Atoms

    E-Print Network [OSTI]

    Frederico Brito; Francisco Rouxinol; M. D. LaHaye; Amir O. Caldeira

    2014-06-27T23:59:59.000Z

    Over the past several decades, a rich series of experiments has repeatedly verified the quantum nature of superconducting devices, leading some of these systems to be regarded as artificial atoms. In addition to their application in quantum information processing, these `atoms' provide a test bed for studying quantum mechanics in macroscopic limits. Regarding the last point, we present here a feasible protocol for directly testing time reversal symmetry in a superconducting artificial atom. Time reversal symmetry is a fundamental property of quantum mechanics and is expected to hold if the dynamics of the artificial atom strictly follow the Schroedinger equation. However, this property has yet to be tested in any macroscopic quantum system. The test we propose is based on the verification of the microreversibility principle, providing a viable approach to verify quantum work fluctuation theorems - an outstanding challenge in quantum statistical mechanics. For this, we outline a procedure that utilizes the microreversibility test in conjunction with numerical emulations of Gibbs ensembles to verify these theorems over a large temperature range.

  16. Artificial intelligence and intelligent tutoring systems

    SciTech Connect (OSTI)

    Livergood, N.D.

    1989-01-01T23:59:59.000Z

    As a species we have evolved by increasing our mental and physical powers through the deliberate development and use of instruments that amplify our inherent capabilities. Whereas hereditarily given instincts predetermine the actions of lower animal forms, human existence begins with freedom. As humans we can choose what actions we will perform. We have invented a technology called education to prepare ourselves for life. At present, our educational structures and procedures are failing to prepare us efficiently for the demands of modern life. One of the most important new technologies, in relation to human development, is the digital computer. This dissertation proposes that artificial intelligence maintain a highly critical technological awareness. Artificial intelligence, because of its origin as a politically sponsored field of investigation, must strive for constant awareness of its place within the larger political-economic world and its possible misuse by factions intent on manipulation and control. Computerized models of the human mind could be used in developing progressively more sophisticated brainwashing systems. Intelligent tutoring systems comprise an important new technology within the field of artificial intelligence. This dissertation explores specification and design procedures, functions and issues in developing intelligent tutoring systems.

  17. DOE Explosives Safety Manual

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

    2006-01-09T23:59:59.000Z

    The Manual describes the Departments explosive safety requirements applicable to operations involving the development, testing, handling, and processing of explosives or assemblies containing explosives. Cancels DOE M 440.1-1. Canceled by DOE O 440.1B Chg 1.

  18. DOE-ID Organization Chart

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration wouldDECOMPOSITION OF CALCIUMCOSTDOENuclear1 of 1Retina ProjectElectronicLast

  19. DOE-ID Twitter Site

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration wouldDECOMPOSITION OF CALCIUMCOSTDOENuclear1 of 1Retina Bradley Bugger

  20. Radiological Protection for DOE Activities

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

    1995-09-29T23:59:59.000Z

    Establishes radiological protection program requirements that, combined with 10 CFR 835 and its associated implementation guidance, form the basis for a comprehensive program for protection of individuals from the hazards of ionizing radiation in controlled areas. Extended by DOE N 441.3. Cancels DOE 5480.11, DOE 5480.15, DOE N 5400.13, DOE N 5480.11; please note: the DOE radiological control manual (DOE/EH-0256T)

  1. DOE-STD-5506-2007 DOE STANDARD

    E-Print Network [OSTI]

    DOE-STD-5506-2007 April 2007 DOE STANDARD Preparation of Safety Basis Documents for Transuranic on the Department of Energy Technical Standards Program Web Site at Http://tis.eh.doe.gov/techstds/ #12;DOE-STD-5506 STATEMENT A. Approved for public release; distribution is unlimited. #12;DOE-STD-5506-2007 ii Available

  2. Stacking Semiconductors for Artificial Photosynthesis | U.S. DOE Office of

    Office of Science (SC) Website

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4(SC) Mapping the ImpactSCDOE Office of Science (SC) SpinScience

  3. Mimicking Nature - A Step Towards Artificial Photosynthesis| U.S. DOE

    Office of Science (SC) Website

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurTheBrookhavenMassachusetts Regions National Science Bowl® (NSB)AcademicOffice of

  4. DOE 2014 Biomass Conference

    Broader source: Energy.gov [DOE]

    Breakout Session 1C—Fostering Technology Adoption I: Building the Market for Renewables with High Octane Fuels DOE 2014 Biomass Conference Jim Williams, Senior Manager, American Petroleum Institute

  5. DOE/EA-2002

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

    Western Area Power Administration's Right-of-Way Application for the Tucson-Apache 115-kV Transmission Line Tohono O'odham Nation, San Xavier District, Pima County, Arizona (DOE...

  6. DOE Corporate FEOSH

    Broader source: Energy.gov [DOE]

    The Department of Energy (DOE) Federal Employee Occupational Safety and Health (FEOSH) Program web site is the connection to current safety and health news and issues: Departmental special emphasis initiatives, upcoming activities, resources, contacts, and much, much more.

  7. DOE Technical Assistance Program

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

    Solid-State Solutions for Municipal Lighting: What You'll Need to Know eere.energy.gov The Parker Ranch installation in Hawaii DOE Technical Assistance Program Solid-State...

  8. artificial hip joint: Topics by E-print Network

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

    24 25 Next Page Last Page Topic Index 1 School of Architecture, Design and the Built Environment Project Title: Artificial bone for prosthetic hip joints Computer Technologies and...

  9. artificially generated gravity: Topics by E-print Network

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

    (Nolfi and Floreano, 2000), neural networks design files of body com- ponents for 3D printing, and for compiling neural-network controllers to run artificial neural networks....

  10. artificial heart valve: Topics by E-print Network

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

    Sigfridsson; S. Franzn; A. F. Bolger; T. Ebbers 30 A Hybrid Artificial Intelligence System for Assistance in Remote Monitoring of Heart Computer Technologies and Information...

  11. artificial nutritional support: Topics by E-print Network

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

    different diet types were used Boudouresque, Charles F. 4 WeAidU -A decision support system for myocardial perfusion images using artificial Physics Websites Summary: of the...

  12. artificial electromagnetic black: Topics by E-print Network

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

    transparency (EIT) on a single macroscopic artificial "atom" (superconducting quantum system) coupled to open 1D space of a transmission line. Unlike in a optical media with many...

  13. artificial heart valves: Topics by E-print Network

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

    Sigfridsson; S. Franzn; A. F. Bolger; T. Ebbers 30 A Hybrid Artificial Intelligence System for Assistance in Remote Monitoring of Heart Computer Technologies and Information...

  14. artificial learning approaches: Topics by E-print Network

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

    and Adults University of Kansas - KU ScholarWorks Summary: in the artificial language system. These findings provide initial evidence suggesting that executive function processes...

  15. artificial recharge sites: Topics by E-print Network

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

    vegetation, while the great majority Behmer, Spencer T. 8 An Artificial Immune System as a Recommender for Web Sites Proceedings of the 1st Internal Conference on...

  16. artificial compressibility method: Topics by E-print Network

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

    solutions of the Incompressible Navier Stokes system on exterior domains via the artificial compressibility method Mathematical Physics (arXiv) Summary: In this paper we study...

  17. artificial metalloenzymes based: Topics by E-print Network

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

    from bacteria Jacob, Eshel Ben 6 An Interactive Electronic Art System Based on Artificial Ecosystemics Computer Technologies and Information Sciences Websites Summary: An...

  18. artificial intelligence conference: Topics by E-print Network

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

    of the Japanese Society for Artificial Intelligence, 2005 Aggregation Pheromone System and Its Cycle model Computer Technologies and Information Sciences Websites Summary:...

  19. applications artificial intelligence: Topics by E-print Network

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

    16 (2003) 237250 Hierarchical decision making for proactive quality control: system Materials Science Websites Summary: by resorting to artificial intelligence and...

  20. artificial intelligence systems: Topics by E-print Network

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

    particular Casillas Barranquero, Jorge 7 Intelligent Agents for an Artificial Market System Nikos Karacapilidis Computer Technologies and Information Sciences Websites Summary:...

  1. artificial freshwater lakes: Topics by E-print Network

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

    THE ARTIFICIAL PROPAGATION OF FRESH"WATER MUSSELS By George Lefevre and W. C. Curtis of fish , , 626 616 12;EXPERIMENTS IN THE...

  2. artificial extracellular matrix: Topics by E-print Network

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

    Demetri 346 Algorithms and Hardware for Implementing Artificial Neural Networks Nathan Hower Computer Technologies and Information Sciences Websites Summary: Algorithms and...

  3. artificial heart perspectives: Topics by E-print Network

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

    Demetri 203 Algorithms and Hardware for Implementing Artificial Neural Networks Nathan Hower Computer Technologies and Information Sciences Websites Summary: Algorithms and...

  4. artificially structured nonlinear: Topics by E-print Network

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

    by neuro-fuzzy Boyer, Edmond 100 In Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, Nagoya, Japan, 600-605, 1997. Cooperation...

  5. Applications of Artificial Neural Networks (ANNs) to Rotating Equipment

    E-Print Network [OSTI]

    Sainudiin, Raazesh

    , engines), driven equipment (compressors, pumps, mixers, fans, extruders), transmission devices (gears diagnosis, trouble shooting, maintenance, sensor validation, and control. Artificial Neural Network (ANN

  6. artificial sensory organ: Topics by E-print Network

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

    of Artificial Visual Sensorimotor Structures Engineering Websites Summary: in supporting perception by orienting and relocating the visual sensory organs. Motor and sensory...

  7. artificial lighting good: Topics by E-print Network

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

    24 25 Next Page Last Page Topic Index 1 Adaptive predictive lighting controllers for daylight artificial light integrated schemes. Open Access Theses and Dissertations Summary:...

  8. artificial saliva solution: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 463 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  9. artificial life body: Topics by E-print Network

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

    press) in Jessica Riskin (ed.) The Sistine Gap: Essays on the History and Philosophy of Artificial Life. Computer Technologies and Information Sciences Websites Summary:...

  10. artificial dural sealant: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 402 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  11. Artificial Spin Ice - A New Playground to Better Understand Magnetism...

    Office of Science (SC) Website

    Artificial Spin Ice - A New Playground to Better Understand Magnetism Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding...

  12. artificially elevated intraocular: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 477 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  13. artificial neutral network: Topics by E-print Network

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

    it was proposed that the theory of neutral mutations Fernandez, Thomas 48 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  14. artificial intrauterina em: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 396 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  15. artificial molecular magnets: Topics by E-print Network

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

    2013-01-04 18 Magnetic anisotropy of elongated thin ferromagnetic nano-islands for artificial spin ice arrays Physics Websites Summary: Magnetic anisotropy of elongated thin...

  16. artificial teeth opposed: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 475 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  17. artificial ascites induce: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 425 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  18. artificial acelerado sobre: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 397 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  19. artificial insemination services: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 498 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  20. artificial magnetic fields: Topics by E-print Network

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

    Galea 2003-02-10 74 Magnetic anisotropy of elongated thin ferromagnetic nano-islands for artificial spin ice arrays Physics Websites Summary: Magnetic anisotropy of elongated thin...

  1. artificial demineralized surface: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 433 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  2. artificially contaminated soil: Topics by E-print Network

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

    The vegetation reacts with changes in species composition and a decrease in biodiversity. Artificial snowing modifies some of these impacts: The soil frost is mitigated due to an...

  3. artificial lake rapel: Topics by E-print Network

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

    unfortunately lack. This paper illustrates why collective intelligence may be better than artificial intelligence in the long run on a fundamental level. Tushar Malica 267...

  4. artificial utilizado para: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 419 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  5. artificial photosynthetic systems: Topics by E-print Network

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

    235 Effective Temperature in an Interacting Vertex System: Theory and Experiment on Artificial Spin Ice Computer Technologies and Information Sciences Websites Summary:...

  6. artificially degraded ultisols: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 460 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  7. artificial nobel gas: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 482 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  8. artificial internal organ: Topics by E-print Network

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

    1996-01-01 231 Magnetic anisotropy of elongated thin ferromagnetic nano-islands for artificial spin ice arrays Physics Websites Summary: Magnetic anisotropy of elongated thin...

  9. artificial immune networks: Topics by E-print Network

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

    if the learning resides purely in the weights of fixed Fernandez, Thomas 115 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  10. artificial caries lesion: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 474 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  11. artificial corneas prepared: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 460 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  12. artificial pancreas system: Topics by E-print Network

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

    206 Effective Temperature in an Interacting Vertex System: Theory and Experiment on Artificial Spin Ice Computer Technologies and Information Sciences Websites Summary:...

  13. artificial urinary sphincter: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 436 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  14. artificial tactile feedback: Topics by E-print Network

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

    AD of transient model simulations and a new type of sen- sitivity experiments with artificial sea ice growth Born, Andreas 429 Vectorial Feedback with Carry Registers CERN...

  15. artificial radionuclides transport: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 472 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  16. artificial wetland modelling: Topics by E-print Network

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

    In response, regulatory (more) Reinier, John Edward 2011-01-01 382 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  17. artificial photosynthesis research: Topics by E-print Network

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

    represent our observations such as "one's blood type is AB Sato, Taisuke 115 Journal of Artificial Intelligence Research 33 (2008) 3377 Submitted 0907; published 0908 ICE: An...

  18. artificial microbialite model: Topics by E-print Network

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

    viscosity model is employed with an otherwise higher Peraire, Jaime 196 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  19. artificial immune system: Topics by E-print Network

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

    391 Effective Temperature in an Interacting Vertex System: Theory and Experiment on Artificial Spin Ice Computer Technologies and Information Sciences Websites Summary:...

  20. artificially inoculated cereal: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 489 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  1. artificial nucleation sites: Topics by E-print Network

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

    Inman Harvey Submitted: 2 September 1996 (Minor revisions October 1996) Abstract The artificial Fernandez, Thomas 83 Controlling ice nucleation through surface hydrophilicity...

  2. artificial lift system: Topics by E-print Network

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

    263 Effective Temperature in an Interacting Vertex System: Theory and Experiment on Artificial Spin Ice Computer Technologies and Information Sciences Websites Summary:...

  3. artificial auxiliar caa: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 406 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  4. artificial heart system: Topics by E-print Network

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

    233 Effective Temperature in an Interacting Vertex System: Theory and Experiment on Artificial Spin Ice Computer Technologies and Information Sciences Websites Summary:...

  5. artificial aggregate particles: Topics by E-print Network

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

    Emmanuel S. 214 Magnetic anisotropy of elongated thin ferromagnetic nano-islands for artificial spin ice G. M. Wysin Physics Websites Summary: Magnetic anisotropy of elongated...

  6. artificially mediated games: Topics by E-print Network

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

    electron mediators in the cathode chamber while using plain graphite 148 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  7. artificial plant beds: Topics by E-print Network

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

    structure of the biochemical constraints on the pollen diets of bees. We use an artificial assemblage as an opportunity to isolate the action of this mechanism. The...

  8. artificial insemination: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 427 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  9. artificial radionuclides behavior: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 500 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  10. artificial life models: Topics by E-print Network

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

    life in all environ- ments and ecological niches Carrapio, Francisco 378 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  11. artificial por irradiacao: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 398 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  12. artificial dermis integra: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 402 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  13. artificial sweetener sucralose: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 412 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  14. artificial por bcp: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 406 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  15. artificial gastric juice: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 468 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  16. artificial lake case: Topics by E-print Network

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

    which can draw on case histories and psychological studies Colton, Simon 94 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  17. artificial sweetener sc45647: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 411 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  18. artificial endolymph injection: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 484 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  19. artificial diet irradiacao: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 475 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  20. artificially inoculated efeitos: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 455 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  1. artificial neuron networks: Topics by E-print Network

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

    machine-learning algorithm, inspired by the immune Kent, University of 68 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  2. artificial magnetic response: Topics by E-print Network

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

    2013-01-04 13 Magnetic anisotropy of elongated thin ferromagnetic nano-islands for artificial spin ice arrays Physics Websites Summary: Magnetic anisotropy of elongated thin...

  3. artificial organs: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 454 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  4. artificial intelligence research: Topics by E-print Network

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

    represent our observations such as "one's blood type is AB Sato, Taisuke 118 Journal of Artificial Intelligence Research 33 (2008) 3377 Submitted 0907; published 0908 ICE: An...

  5. artificial hydrothermal system: Topics by E-print Network

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

    238 Effective Temperature in an Interacting Vertex System: Theory and Experiment on Artificial Spin Ice Computer Technologies and Information Sciences Websites Summary:...

  6. artificial ground freezing: Topics by E-print Network

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

    Moorman, Brian 6 Ground state lost but degeneracy found: the effective thermodynamics of artificial spin ice Condensed Matter (arXiv) Summary: We analyze the rotational...

  7. artificial small shallow: Topics by E-print Network

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

    (1990 PAGE 3 12;2011 Prof. Micheloni Christian Universit Degli Studi di Udine Artificial Vision State 48 Preliminary Assessment SHALLOW LAND DISPOSAL AREA, PARKS...

  8. artificial para otimizacao: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 404 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  9. artificial neuronal networks: Topics by E-print Network

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

    machine-learning algorithm, inspired by the immune Kent, University of 68 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  10. artificial radionuclides radioactivnoe: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 418 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  11. artificial immune systems: Topics by E-print Network

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

    391 Effective Temperature in an Interacting Vertex System: Theory and Experiment on Artificial Spin Ice Computer Technologies and Information Sciences Websites Summary:...

  12. artificial lake environment: Topics by E-print Network

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

    Weighing Problem (after Denker 2004) Problem Given (minimax principle) Constructive Artificial Intelligence 12;Considerations Note in a measurement, left Polani, Daniel 77...

  13. artificial polyclonal globulin: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 418 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  14. artificial vein system: Topics by E-print Network

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

    203 Effective Temperature in an Interacting Vertex System: Theory and Experiment on Artificial Spin Ice Computer Technologies and Information Sciences Websites Summary:...

  15. artificial geyser affecting: Topics by E-print Network

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

    The vegetation reacts with changes in species composition and a decrease in biodiversity. Artificial snowing modifies some of these impacts: The soil frost is mitigated due to an...

  16. artificial soil microcosms: Topics by E-print Network

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

    The vegetation reacts with changes in species composition and a decrease in biodiversity. Artificial snowing modifies some of these impacts: The soil frost is mitigated due to an...

  17. artificial intelligence technologies: Topics by E-print Network

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

    significant foresight. We argue that there is much that can be inferred Su, Sara 169 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  18. artificial intelligence technology: Topics by E-print Network

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

    significant foresight. We argue that there is much that can be inferred Su, Sara 169 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  19. artificial heart development: Topics by E-print Network

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

    natural breath hold is well developed in neonates (Castellini Burns, Jennifer M. 8 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  20. artificial intelligence application: Topics by E-print Network

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

    Schuster, New York, 1986. 9 Allen Newell and Herbert A. Simon Ricci, Francesco 171 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  1. artificial intelligence applications: Topics by E-print Network

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

    Schuster, New York, 1986. 9 Allen Newell and Herbert A. Simon Ricci, Francesco 171 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  2. artificial intelligence environment: Topics by E-print Network

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

    requires creative imagination and marks real advance in science. Marcus Hutter 154 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  3. Exercise protocols during short-radius centrifugation for artificial gravity

    E-Print Network [OSTI]

    Edmonds, Jessica Leigh

    2008-01-01T23:59:59.000Z

    Long-duration spaceflight results in severe physiological deconditioning, threatening the success of interplanetary travel. Exercise combined with artificial gravity provided by centrifugation may be the comprehensive ...

  4. artificial neural analysis: Topics by E-print Network

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

    Databases and Resources Websites Summary: Applications of Artificial Neural Networks and Fuzzy Models in High Throughput Screening to the existing HTS method, via Quantitative...

  5. artificial neural network: Topics by E-print Network

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

    neural networks, for phosphene localisation are used Rattray, Magnus 63 Dynamic Pattern Recognition in Sport by Means of Artificial Neural Networks Computer Technologies...

  6. artificial neural networks: Topics by E-print Network

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

    neural networks, for phosphene localisation are used Rattray, Magnus 63 Dynamic Pattern Recognition in Sport by Means of Artificial Neural Networks Computer Technologies...

  7. artificial immune tissue: Topics by E-print Network

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

    1 Jamie Twycross; Uwe Aickelin 10 Artificial Immune Systems: A Novel Paradigm to Pattern Recognition Computer Technologies and Information Sciences Websites Summary:...

  8. Summary D. Keil Artificial Intelligence 7/13 David M. Keil

    E-Print Network [OSTI]

    Keil, David M.

    raised by artificial cognitive systems Special Topics: Artificial Intelligence 9. Summary 7/13 6D. KeilSummary D. Keil Artificial Intelligence 7/13 David M. Keil Framingham State University CSCI 300 Artificial Intelligence 1Special Topics: Artificial Intelligence 9. Summary 7/13D. Keil Summary Multi

  9. Tenneco scores a first with artificial reef

    SciTech Connect (OSTI)

    Bleakley, W.B.

    1982-11-15T23:59:59.000Z

    Describes the launching of a retired production platform in Florida waters where the 500-ton structure will become the world's first artificial fishing reef. Recent studies show how abandoned platforms can contribute to marine life propagation. Reef marker buoys were added to the jacket before launching to conform to U.S. Coast Guard specifications. Dives made at the site established a fish population base on which to evaluate the jacket's success. Periodic dives will be made to update the census and determine the reef's performance.

  10. An introduction to artificial neural networks

    E-Print Network [OSTI]

    C. A. L. Bailer-Jones; R. Gupta; H. P. Singh

    2001-02-13T23:59:59.000Z

    Artificial neural networks are algorithms which have been developed to tackle a range of computational problems. These range from modelling brain function to making predictions of time-dependent phenomena to solving hard (NP-complete) problems. In this introduction we describe a single, yet very important, type of network known as a feedforward network. This network is a mathematical model which can be trained to learn an arbitrarily complex relationship between a data and a parameter domain, so can be used to solve interpolation and classification problems. We discuss the structure, training and interpretation of these networks, and their implementation, taking the classification of stellar spectra as an example.

  11. IEEE SYMPOSIUM ON ARTIFICIAL LIFE 1 Using Artificial Organisms To Study The Evolution

    E-Print Network [OSTI]

    Liew, Chun Wai

    in Fish C.W. Liew Dept of Computer Science Lafayette College, Easton, PA 18042 liew methodology for studying how some features evolved in swimming fish. Experiments with the artificial organisms allow us to evaluate the hypothesis that backbones evolved in fish in part because they result in higher

  12. Optimization and integration of renewable energy sources on a community scale using Artificial Neural Networks and Genetic Algorithms

    E-Print Network [OSTI]

    Davis, Bron

    2011-01-01T23:59:59.000Z

    algorithm, and Artificial Neural Network." Building andOrtega. "New artificial neural network prediction method fora feedback artificial neural network." Energy and Buildings

  13. Identifying a Collaborating DOE Laboratory Scientist | U.S. DOE...

    Office of Science (SC) Website

    Identifying a Collaborating DOE Laboratory Scientist DOE Office of Science Graduate Student Research (SCGSR) Program SCGSR Home Eligibility Benefits Participant Obligations How to...

  14. Does Doctrine Drive Technology or Does Technology Drive Doctrine?

    E-Print Network [OSTI]

    Blasko, Dennis

    2010-01-01T23:59:59.000Z

    Brief No. 4 September 2010 Does Doctrine Drive Technology orDoes Technology Drive Doctrine? Dennis Blasko Summary Wthat emphasizes strategy over technology and may hold some

  15. DOE Policy on Decommissioning DOE Facilities Under CERCLA

    Broader source: Energy.gov [DOE]

    In May 1995, the Department of Energy (DOE) issued a policy in collaboration with the Environmental Protection Agency (EPA) for decommissioning surplus DOE facilities consistent with the...

  16. DOE Corporate Operating Experience Program

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

    2011-04-08T23:59:59.000Z

    The Order institutes a DOE wide program for the management of operating experience to prevent adverse operating incidents and facilitate the sharing of good work practices among DOE sites. Cancels DOE O 210.2.

  17. DOE Directives | Department of Energy

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

    DOE O 414.1D, Quality Assurance DOE G 414.1-2B Admin Change 1, Quality Assurance Program Guide DOE O 221.1A, Reporting Fraud, Waste and Abuse to the Office of the Inspector...

  18. 05684ArcticLakes | netl.doe.gov

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032) - Energy Innovation Portal AdvancedUsing Artificial Barriers to

  19. 06554_GreenRiverGIS | netl.doe.gov

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032) - Energy Innovation Portal AdvancedUsing Artificial2June 2015GIS

  20. DOE explosives safety manual

    SciTech Connect (OSTI)

    Not Available

    1991-10-01T23:59:59.000Z

    The Department of Energy (DOE) policy requires that all DOE activities be conducted in a manner that protects the safety of the public and provides a safe and healthful workplace for employees. DOE has also prescribed that all personnel be protected in any explosives operation undertaken. The level of safety provided shall be at least equivalent to that of the best industrial practice. The risk of death or serious injury shall be limited to the lowest practicable minimum. DOE and contractors shall continually review their explosives operations with the aim of achieving further refinements and improvements in safety practices and protective features. This manual describes the Department's explosive safety requirements applicable to operations involving the development, testing, handling, and processing of explosives or assemblies containing explosives. It is intended to reflect the state-of-the-art in explosives safety. In addition, it is essential that applicable criteria and requirements for implementing this policy be readily available and known to those responsible for conducting DOE programs.

  1. Faculty Expertise Index Advanced Artificial Intelligence, Technology, & Control Systems Development for Biological &

    E-Print Network [OSTI]

    Amin, S. Massoud

    Faculty Expertise Index Advanced Artificial Intelligence, Technology, & Control Systems Development-Paul Schirle-Keller Food Additives ­ Artificial Sweeteners ­ Ted Labuza Food Analysis Chromatographic Processing (see Phytochemicals, Advanced Artificial Intelligence) Canning Technology ­ Ted Labuza Cheese

  2. Artificial Neural Networks In Electric Power Industry Technical Report of the ISIS Group

    E-Print Network [OSTI]

    Antsaklis, Panos

    Artificial Neural Networks In Electric Power Industry Technical Report of the ISIS Group Systems R. E. Bourguet, P. J. Antsaklis, "Artificial Neural Networks in Electric Power Industry. Bourguet, P. J. Antsaklis, "Artificial Neural Networks in Electric Power Industry," Technical Report

  3. A COMPARISON OF ARTIFICIAL NEURAL NETWORKS AND CLUSTER ANALYSIS FOR TYPING BIOMETRICS

    E-Print Network [OSTI]

    A COMPARISON OF ARTIFICIAL NEURAL NETWORKS AND CLUSTER ANALYSIS FOR TYPING BIOMETRICS biometrics, artificial neural networks, cluster analysis, Multi Layer Perceptrons, K- means clustering are clustering techniques and Artificial Neural Networks , in conjunction with data processing to improve

  4. Constraints on adaptation: explaining deviation from optimal sex ratio using artificial neural networks

    E-Print Network [OSTI]

    West, Stuart

    Y Keywords: adaptation; artificial neural networks; evolutionary constraints; parasitoid; sex ratio by modelling information acquisition and processing using artificial neural networks (ANNs) evolving accordingConstraints on adaptation: explaining deviation from optimal sex ratio using artificial neural

  5. An accurate comparison of methods for quantifying variable importance in artificial neural networks using simulated data

    E-Print Network [OSTI]

    Joy, Mike

    An accurate comparison of methods for quantifying variable importance in artificial neural networks, Joy and Death: Assessing variable contributions in neural networks 2 Abstract Artificial neural elements called artificial neural networks (ANNs). Although ANNs were initially developed to better

  6. Recognizing targets from infrared intensity scan patterns using artificial neural networks

    E-Print Network [OSTI]

    Barshan, Billur

    Recognizing targets from infrared intensity scan patterns using artificial neural networks Tayfun complicating the localization and recognition process. We employ artificial neural networks to deter- mine differentiation; artificial neural networks; optimal brain surgeon; pattern recognition. Paper 080450R received

  7. Automated Interpretation of Myocardial SPECT Perfusion Images Using Artificial Neural Networks

    E-Print Network [OSTI]

    Peterson, Carsten

    Automated Interpretation of Myocardial SPECT Perfusion Images Using Artificial Neural Networks Dan as inputs to multilayer perceptron artificial neural networks. The networks were trained to detect coronary% and not statistically significant. Conclusions: Artificial neural networks can detect coronary artery disease

  8. Full waveform inversion of a 3-D source inside an artificial rock

    E-Print Network [OSTI]

    To, A C; Glaser, Steven D

    2005-01-01T23:59:59.000Z

    of a 3-D Source Inside an Artificial Rock Albert C. To andof a 3-D source inside an artificial rock plate inof a 3-D source inside an artificial rock plate is

  9. Artificial Life: The Utrecht Machine W. Garrett Mitchener

    E-Print Network [OSTI]

    Mitchener, W. Garrett

    Artificial Life: The Utrecht Machine W. Garrett Mitchener College of Charleston October 10, 2013 W. Garrett Mitchener (C of C) Utrecht Machine October 10, 2013 1 / 17 #12;Introduction Artificial life is hard W. Garrett Mitchener (C of C) Utrecht Machine October 10, 2013 2 / 17 #12;Introduction Let's start

  10. Alan Turing and the development of Artificial Intelligence

    E-Print Network [OSTI]

    Muggleton, Stephen H.

    1 Alan Turing and the development of Artificial Intelligence Stephen Muggleton , During the centennial year of his birth Alan Turing (1912-1954) has been widely celebrated as having laid the paper. Keywords: Alan Turing, Artificial Intelligence, Ma- chine Intelligence 1. Introduction

  11. artificial intelligence system: Topics by E-print Network

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

    artificial intelligence system First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Artificial Intelligence...

  12. Lung Link: Improved Artificial Lung Conduits Clinical Problem

    E-Print Network [OSTI]

    McGaughey, Alan

    Lung Link: Improved Artificial Lung Conduits Clinical Problem · Lung Disease takes nearly 335,000 lives each year in the Unites States alone and is a growing problem [1]. · The waiting list for lung]. · A new artificial and portable assistance device for the lung would aid extend patients lives until

  13. Artificial intelligence based on Darwin's idea By Mark Baard

    E-Print Network [OSTI]

    Bongard, Josh

    Artificial intelligence based on Darwin's idea By Mark Baard January 31, 2011 PROTOTYPES, his robots' artificial brains evolved not in isolation, but in conjunction with their changing bodies yielding. The result is a grip that is firm enough to lift a fragile object, but which requires none

  14. RETURN TO THE RIVER -2000 Chapter 8 Artificial Production304304

    E-Print Network [OSTI]

    RETURN TO THE RIVER - 2000 Chapter 8 Artificial Production304304 Return to Table of Contents Go to Next Chapter CHAPTER 8. ARTIFICIAL PRODUCTION AND THE EFFECTS OF FISH CULTURE ON NATIVE SALMONIDS largely on hatchery production, with no overt and large scale ecosystem-level recovery program is doomed

  15. Artificial Neural Nets and Cylinder Pressures in Diesel

    E-Print Network [OSTI]

    Sharkey, Amanda

    Artificial Neural Nets and Cylinder Pressures in Diesel Engine Fault Diagnosis * Gopi O diagnosis system for a diesel engine, which uses artificial neural nets to identify faults on the basis cylinder Ruston AP 230, medium speed Diesel engine was simulated. When tested on new data previously unseen

  16. Combinatorial Optimization with Feedback Artificial Neural Networks \\Lambda

    E-Print Network [OSTI]

    Peterson, Carsten

    Combinatorial Optimization with Feedback Artificial Neural Networks \\Lambda Carsten Peterson@thep.lu.se Abstract A brief review is given for using feedback artificial neural networks (ANN) to obtain good Neural Networks, Oc­ tober 1995, Paris, France , eds. F. Fogelman­Soulie and P. Gallinari, EC2 & Cie

  17. Novel Artificial Neural Networks For Remote-Sensing Data Classification

    E-Print Network [OSTI]

    Michel, Howard E.

    Novel Artificial Neural Networks For Remote-Sensing Data Classification Xiaoli Tao* and Howard E artificial neural network architectures applied to multi-class classification problems of remote-sensing data. These approaches are 1) a spiking-neural-network model for the partitioning of data into clusters, and 2) a neuron

  18. Artificial Neural Networks for Recognition of Electrocardiographic Lead Reversal

    E-Print Network [OSTI]

    Peterson, Carsten

    Artificial Neural Networks for Recognition of Electrocardiographic Lead Reversal Bo Heden, Iv, which are rule-based,is a diffi- cult task, even for the expert. Artificial neural networks (ANNs) have lack of prop- 100%). The neural networks performed better *an `the er treatment. The pur r se

  19. A NOVEL MAP PROJECTION USING AN ARTIFICIAL NEURAL NETWORK

    E-Print Network [OSTI]

    Skupin, André

    A NOVEL MAP PROJECTION USING AN ARTIFICIAL NEURAL NETWORK André Skupin Department of Geography is an unsupervised, artificial neural network (ANN) technique. While it should not be mistaken as imitating neural network approach in two ways. First, the paper presents a cartographically informed method

  20. Simulations of Embodied Evolving Semiosis: Emergent Semantics in Artificial Environments

    E-Print Network [OSTI]

    Rocha, Luis

    Simulations of Embodied Evolving Semiosis: Emergent Semantics in Artificial Environments LUIS-238. Abstract. As we enter this amazing new world of artificial and virtual systems and environments in the context of human communities, we are interested in the development of systems and environments which have

  1. Acta Physicae Superficierum Vol VII 2004 EXPLORING ARTIFICIAL MAGNETISM

    E-Print Network [OSTI]

    Rau, Carl

    Acta Physicae Superficierum · Vol VII · 2004 EXPLORING ARTIFICIAL MAGNETISM FROM THIN FILMS of artificially structured, new magnetic materials play a fundamental role in modern science and technology. From thin films to patterned magnetic nano-structures, these magnetic materials and systems can be utilized

  2. Developmental Plasticity in Cartesian Genetic Programming Artificial Neural Networks

    E-Print Network [OSTI]

    Fernandez, Thomas

    Developmental Plasticity in Cartesian Genetic Programming Artificial Neural Networks Maryam Mahsal developmental plasticity in Artificial Neural Networks using Carte- sian Genetic Programming. This is inspired by developmental plasticity that exists in the biological brain allowing it to adapt to a changing environment

  3. Biomaterials 28 (2007) 31313139 Towards improved artificial lungs through biocatalysis

    E-Print Network [OSTI]

    Federspiel, William J.

    2007-01-01T23:59:59.000Z

    Biomaterials 28 (2007) 3131­3139 Towards improved artificial lungs through biocatalysis Joel L in the development of artificial lungs and respiratory assist devices, which use hollow fiber membranes (HFMs intervention involves the use of mechan- ical ventilators to provide breathing support while the lungs recover

  4. Lung, Artificial: Current Research and Future Directions William J. Federspiel

    E-Print Network [OSTI]

    Federspiel, William J.

    Lung, Artificial: Current Research and Future Directions William J. Federspiel Robert G. Svitek University of Pittsburgh, Pittsburgh, Pennsylvania, U.S.A. INTRODUCTION Artificial lungs are medical devices designed to take over or supplement the respiratory function of the lung: oxygenating the blood

  5. DOE F 740-MX

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM |TRU Waste Cleanup at1450.5B OMB3.2 DOE F580.1 DOE F

  6. DOE O 451

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsNovember 13, 2014ContributingDOE Contract DOE Internationalwith 17O 451.1B Chg 3

  7. About | DOE Data Explorer

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Garyand TechnicalAbout About DOE Data Explorer The DOE

  8. DOE FOIA Request Form

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration wouldDECOMPOSITION OF CALCIUMCOST MANAGEMENT REPORT Page of DOE2 DOE

  9. Feedback | DOE PAGES

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC) Environmental Assessments (EA)Budget » FYU.S. DOE Office ofPublic Access Feedback

  10. E-Print Network 3.0 - artificial gravity pilot Sample Search...

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

    his knowledge of light scattering in the atmosphere and cirrus-climate interactions. Artificial... ice Our first task was to create artificial ice crystals, as no suitable...

  11. artificial root-end barriers: Topics by E-print Network

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

    Daniel Polani Artificial Intelligence - p.126 Is it AI? 1. text editor 2 12. Turing test contenders Artificial Intellige The Turing Test: is partner human or not? See:...

  12. Exploring Fractional Order Calculus as an Artificial Neural Network Augmentation Samuel Alan Gardner

    E-Print Network [OSTI]

    Dyer, Bill

    Exploring Fractional Order Calculus as an Artificial Neural Network Augmentation by Samuel Alan....................................................................................... 4 Artificial Neural Networks DESCRIPTION......................................................................... 22 Neural Network

  13. Artificial neural networks in models of specialization, guild evolution and sympatric speciation

    E-Print Network [OSTI]

    Getz, Wayne M.

    Artificial neural networks in models of specialization, guild evolution and sympatric speciation artificial neural networks (ANN) as models for the host recognition system in exploiters, illustrate how

  14. DOE Corporate Operating Experience Program

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

    2006-06-12T23:59:59.000Z

    The Order establishes a DOE wide program for management of operating experience to prevent adverse operating incidents and to expand the sharing of good work practices among DOE sites. Canceled by DOE O 210.2A. Does not cancel other directives.

  15. Galaxies, Human Eyes and Artificial Neural Networks

    E-Print Network [OSTI]

    O. Lahav; A. Naim; R. J. Buta; H. G. Corwin; G. de Vaucouleurs; A. Dressler; J. P. Huchra; S. van den Bergh; S. Raychaudhury; L. Sodre Jr.; M. C. Storrie-Lombardi

    1994-12-08T23:59:59.000Z

    Quantitative morphological classification of galaxies is important for understanding the origin of type frequency and correlations with environment. But galaxy morphological classification is still mainly done visually by dedicated individuals, in the spirit of Hubble's original scheme, and its modifications. The rapid increase in data on galaxy images at low and high redshift calls for re-examination of the classification schemes and for new automatic methods. Here we show results from the first systematic comparison of the dispersion among human experts classifying a uniformly selected sample of over 800 digitised galaxy images. These galaxy images were then classified by six of the authors independently. The human classifications are compared with each other, and with an automatic classification by Artificial Neural Networks (ANN). It is shown that the ANNs can replicate the classification by a human expert to the same degree of agreement as that between two human experts.

  16. Rearing of boll weevils on artificial diets

    E-Print Network [OSTI]

    Raven B., Klaus Gustav

    1959-01-01T23:59:59.000Z

    OF PHILOSOPHY AINIGOF BLWL VSTRC DIiTseOr taORoRnRNb REARING OF BOLL WEEVILS ON ARTIFICIAL DIETS A Dissertation by Klaus Gustav Raven B. Approved aa to style and content by: ^ C L ^ ? 'airman of Conmittee Hear of Department August 1959 yEK AU...Cs GIiosCNsq ra qrGOrnnsq MSOsC RC S GRnIOrRa RE HReeSn ERC 8SCrRIG psCrRqG RE Oros SG raqreSOsqK 5SK A8sCSNs aIoisC RE sNNG gSOegsq SEOsC raeIiSOrRa psCrRqG RE ?( Saq ?? gRICG ra Ogs ? OsGOG MrOg ? nrzIrqG SG raqreSOsqK WiK A8sCSNs aIoisC RE sNNG g...

  17. Tenneco scores a first with artificial reef

    SciTech Connect (OSTI)

    Bleakley, W.B.

    1982-11-15T23:59:59.000Z

    Describes the launching of a retired production platform in Florida waters where it will become the world's first artificial fishing reef. Tenneco's decision to use a 500-ton structure for a reef was made after recent studies showed how abandoned platforms can contribute to marine life propagation. The accommodations unit and other structures on the deck section were perforated with holes of varying sizes to permit light penetration and provide additional protection for young fish. Photo sequence shows the jacket launch. A number of dives made at the site before the jacket was launched established a fish population base on which to evaluate the jacket's success. Periodic dives will be made to update the census and determine the reef's performance.

  18. Estimating photometric redshifts with artificial neural networks

    E-Print Network [OSTI]

    Andrew E. Firth; Ofer Lahav; Rachel S. Somerville

    2002-10-21T23:59:59.000Z

    A new approach to estimating photometric redshifts - using Artificial Neural Networks (ANNs) - is investigated. Unlike the standard template-fitting photometric redshift technique, a large spectroscopically-identified training set is required but, where one is available, ANNs produce photometric redshift accuracies at least as good as and often better than the template-fitting method. The Bayesian priors on the underlying redshift distribution are automatically taken into account. Furthermore, inputs other than galaxy colours - such as morphology, angular size and surface brightness - may be easily incorporated, and their utility assessed. Different ANN architectures are tested on a semi-analytic model galaxy catalogue and the results are compared with the template-fitting method. Finally the method is tested on a sample of ~ 20000 galaxies from the Sloan Digital Sky Survey. The r.m.s. redshift error in the range z < 0.35 is ~ 0.021.

  19. DOE JGI Welcome Remarks

    SciTech Connect (OSTI)

    Bristow, Jim [DOE Joint Genome Institute

    2010-06-03T23:59:59.000Z

    Jim Bristow, Deputy Director of Programs at the DOE Joint Genome Institute, discusses the impact of advances in sequencing technologies on large genome centers on June 3, 2010 at the "Sequencing, Finishing, Analysis in the Future" meeting in Santa Fe, NM

  20. 1979 DOE statistical symposium

    SciTech Connect (OSTI)

    Gardiner, D.A.; Truett T. (comps. and eds.)

    1980-09-01T23:59:59.000Z

    The 1979 DOE Statistical Symposium was the fifth in the series of annual symposia designed to bring together statisticians and other interested parties who are actively engaged in helping to solve the nation's energy problems. The program included presentations of technical papers centered around exploration and disposal of nuclear fuel, general energy-related topics, and health-related issues, and workshops on model evaluation, risk analysis, analysis of large data sets, and resource estimation.

  1. DOE/CF-0090

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsNovember 13, 2014ContributingDOE ContractDepartment of4 Volume 1 Department

  2. DOE Energy Challenge Project

    SciTech Connect (OSTI)

    Frank Murray; Michael Schaepe

    2009-04-24T23:59:59.000Z

    Project Objectives: 1. Promote energy efficiency concepts in undergraduate and graduate education. 2. Stimulate and interest in pulp and paper industrial processes, which promote and encourage activities in the area of manufacturing design efficiency. 3. Attract both industrial and media attention. Background and executive Summary: In 1997, the Institute of Paper Science and Technology in conjunction with the U.S. Department of Energy developed a university design competition with an orientation to the Forest Products Industry. This university design competition is in direct alignment with DOE’s interests in instilling in undergraduate education the concepts of developing energy efficient processes, minimizing waste, and providing environmental benefits and in maintaining and enhancing the economic competitiveness of the U.S. forest products industry in a global environment. The primary focus of the competition is projects, which are aligned with the existing DOE Agenda 2020 program for the industry and the lines of research being established with the colleges comprising the Pulp and Paper Education and Research Alliance (PPERA). The six design competitions were held annually for the period 1999 through 2004.

  3. Extension of DOE Directives on Security

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

    2002-05-06T23:59:59.000Z

    The Notice extends the following directives until 12/31/02. DOE N 205.1, DOE N 205.2, DOE 205.3, DOE N 471.3, and DOE 473.6.

  4. Optimization of an artificial neural network dedicated to the multivariate forecasting of daily global radiation

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Optimization of an artificial neural network dedicated to the multivariate forecasting of daily Ajaccio, France Abstract. This paper presents an application of Artificial Neural Networks (ANNs Artificial Neural Networks (ANNs) which are a popular artificial intelligence technique in the forecasting

  5. Artificial Intelligence and The Many Faces of Reason 

    E-Print Network [OSTI]

    Clark, Andy

    2003-01-01T23:59:59.000Z

    I shall focus this discussion on one small thread in the increasingly complex weave of Artificial Intelligence and Philosophy of Mind: the attempt to explain how rational thought is mechanically possible. This is, historically, ...

  6. Artificial teeth : dental biofilm analysis on a chip

    E-Print Network [OSTI]

    Lam, Raymond Hiu-wai

    2010-01-01T23:59:59.000Z

    In this thesis, an "artificial teeth" microfluidic device is developed that provides unprecedented control over the conditions required to simulate the growth of complex dental biofilm. Dental plaque formation is not only ...

  7. artificial fracture due: Topics by E-print Network

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

    a synthetic model of the evolution of living systems (i.e. an artificial life' system)? It can also be viewed as an attempt to ... Taylor, Timothy J 37 High velocity impact...

  8. artificial nanostructures fabrication: Topics by E-print Network

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

    for creating a synthetic model of the evolution of living systems (i.e. an artificial life' system)? It can also be viewed as an attempt to ... Taylor, Timothy J 104...

  9. Collective artificial intelligence : simulated role-playing from crowdsourced data

    E-Print Network [OSTI]

    Orkin, Jeffrey David

    2013-01-01T23:59:59.000Z

    Collective Artificial Intelligence (CAl) simulates human intelligence from data contributed by many humans, mined for inter-related patterns. This thesis applies CAI to social role-playing, introducing an end-to-end process ...

  10. artificial limbs: Topics by E-print Network

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

    Brain Control for Artificial Limbs - Businessweek Related How About Them Gams: 3D Printing Custom Legs When Jan Scheuermann grasped a chocolate bar and raised it to her mouth...

  11. artificial neural computation: Topics by E-print Network

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

    19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 A RECONFIGURABLE COMPUTING ARCHITECTURE FOR IMPLEMENTING ARTIFICIAL NEURAL NETWORKS ON FPGA Engineering Websites Summary: A...

  12. artificial hips: Topics by E-print Network

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

    13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 School of Architecture, Design and the Built Environment Project Title: Artificial bone for prosthetic hip...

  13. arima models artificial: Topics by E-print Network

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

    this prediction. Peter A. Dinda; David R. O& apos; Hallaron 1998-01-01 210 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  14. artificial matter exchange: Topics by E-print Network

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

    changes in the real exchange rate. Pierre-Olivier Gourinchas 1999-01-01 9 Journal of Artificial Intelligence Research 33 (2008) 3377 Submitted 0907; published 0908 ICE: An...

  15. artificial canal network: Topics by E-print Network

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

    12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 41 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  16. artificial sea water: Topics by E-print Network

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

    Ieft, thc area of formation, even a very small c...:ent, as well as naturally cccuring ice and water frcm the Arctic Ocean. An artificial sea-water was also used in the hope. "....

  17. artificial para vacas: Topics by E-print Network

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

    12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 401 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  18. artificial intelligence: Topics by E-print Network

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

    10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 141 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  19. artificial intelligence melbourne: Topics by E-print Network

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

    10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 141 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  20. artificial intelligence algorithm: Topics by E-print Network

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

    London, WC1H 0AP, U.K. E-mail: A.Blandford@ucl.ac Paris-Sud XI, Universit de 162 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  1. artificial intelligence mrida: Topics by E-print Network

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

    10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 141 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  2. artificial intelligence techinques: Topics by E-print Network

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

    10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 141 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  3. artificial intelligence canberra: Topics by E-print Network

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

    10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 141 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  4. artificial intelligence adelaide: Topics by E-print Network

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

    10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 141 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  5. artificial intelligence europe: Topics by E-print Network

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

    10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 141 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  6. artificial intelligence planning: Topics by E-print Network

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

    10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 161 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  7. artificial intelligence epia: Topics by E-print Network

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

    10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 141 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  8. artificial intelligence tokyo: Topics by E-print Network

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

    10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 141 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  9. artificial intelligence sistema: Topics by E-print Network

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

    10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 141 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  10. Artificial Neural Network Circuit for Spectral Pattern Recognition

    E-Print Network [OSTI]

    Rasheed, Farah

    2013-09-04T23:59:59.000Z

    Artificial Neural Networks (ANNs) are a massively parallel network of a large number of interconnected neurons similar to the structure of biological neurons in the human brain. ANNs find applications in a large number of fields, from pattern...

  11. Staff summary of Issues & Recommendations Artificial Production and Harvest

    E-Print Network [OSTI]

    on "Harvest Hatcheries" to emphasize greater concern about stray rates and take of weak stocks. And NOAA along of artificial production to supplement depressed natural stocks, reintroduce extirpated stocks, and provide

  12. artificial ant colonies: Topics by E-print Network

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

    16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Applying Ant Colony Optimization Methods in an Artificial Chemistry Computer Technologies and Information Sciences...

  13. artificial ant colony: Topics by E-print Network

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

    16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Applying Ant Colony Optimization Methods in an Artificial Chemistry Computer Technologies and Information Sciences...

  14. Evolution of Memory in Reactive Artificial Neural Networks

    E-Print Network [OSTI]

    Chung, Ji Ryang

    2012-07-16T23:59:59.000Z

    in the context of evolution: how reactive agents could have evolved into cognitive ones with internalized memory? This study strives to find an answer to the question by simulating neuroevolution on artificial neural networks, with the hypothesis...

  15. DOE: Support Implementation of EEOICPA

    Broader source: Energy.gov [DOE]

    DOE’s primary role in the EEOICPA is to provide records to DOL, NIOSH and DOJ, to support claim processing, dose reconstruction and ultimately claim adjudication. The worker records provided by...

  16. Artificial photosynthesis- solar fuels: current status and future prospects

    SciTech Connect (OSTI)

    Cogdell, Richard J; Brotosudarmo, Tatas H.P.; Gardiner, Alastair T; Sanchez, Pedro M; Cronin, Leroy

    2010-01-01T23:59:59.000Z

    This review considers the case for using artificial photosynthesis to make solar fuels. The conceptual framework on which this idea is based is described. Photosynthesis is broken down into four partial reactions. Each one is described and progress in mimicking each of these is discussed. Finally, the current major barriers to achieving working systems based on artificial photosynthesis capable of making solar fuels are highlighted

  17. Artificial light and quantum order in systems of screened dipoles

    E-Print Network [OSTI]

    Xiao-Gang Wen

    2003-04-14T23:59:59.000Z

    The origin of light is a unsolved mystery in nature. Recently, it was suggested that light may originate from a new kind of order - quantum order. To test this idea in experiments, we study systems of screened magnetic/electric dipoles in 2D and 3D lattices. We show that our models contain an artificial light -- a photon-like collective excitation. We discuss how to design realistic devices that realize our models. We show that the ``speed of light'' and the ``fine structure constant'' of the artificial light can be tuned in our models. The properties of artificial atoms (bound states of pairs of artificial charges) are also discussed. The existence of artificial light (as well as artificial electron) in condensed matter systems suggests that elementary particles, such as light and electron, may not be elementary. They may be collective excitations of quantum order in our vacuum. Our models further suggest that a gauge theory is a string-net theory in disguise. Light is a fluctuation of nets of large closed strings and charge is the end of open strings.

  18. DOE Average Results

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM | DepartmentIOffshore WindEnergy's FY2016Appoints DOE

  19. DOE Challenge Home Verification

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM | DepartmentIOffshoreDepartmentBegins DOE Challenge Home

  20. DOE F 5631

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM |TRU Waste Cleanup at1450.5B OMB3.2 DOE F 473.23

  1. DOE F 5634

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM |TRU Waste Cleanup at1450.5B OMB3.2 DOE F 473.2334 OMBCSCS

  2. DOE F 5634

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM |TRU Waste Cleanup at1450.5B OMB3.2 DOE F 473.2334

  3. DOE F 5634

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM |TRU Waste Cleanup at1450.5B OMB3.2 DOE F 473.23342

  4. DOE/CF-0084

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsNovember 13, 2014ContributingDOE ContractDepartment of4 Volume 1 Department of

  5. DOE/CF-0085

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsNovember 13, 2014ContributingDOE ContractDepartment of4 Volume 1 Department of2

  6. DOE/CF-0086

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsNovember 13, 2014ContributingDOE ContractDepartment of4 Volume 1 Department of2

  7. DOE/CF-0088

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsNovember 13, 2014ContributingDOE ContractDepartment of4 Volume 1 Department of28

  8. DOE/CF-0089

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsNovember 13, 2014ContributingDOE ContractDepartment of4 Volume 1 Department of289

  9. DOE PAGES Beta

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePART I SECTIONPlasma PhysicsDOE Allocationportal

  10. space booklet_DOE

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing:,, ,Development1U C L E A R E N E R G Y DOE/NE-0071 U .

  11. DOE Energy Innovation Hubs

    Office of Science (SC) Website

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing:,,of ScienceCurrent ProjectsResearch » DOE Energy

  12. DOE Challenge Home Program

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: Theof"Wave theJulyD&D Project for ETTPFeedstockDepartment DOE

  13. DOE Organizational Chart

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: Theof"WaveInteractions and Policy (2009) | DepartmentDepartmentDOE, 201418

  14. DOE/EIS-0380

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of No Significant6-2002DOE/EA-1313 Rev.79-SA-0190-SA-032 FISCAL

  15. DOE/EIS-0380

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of No Significant6-2002DOE/EA-1313 Rev.79-SA-0190-SA-032 FISCAL3

  16. DOE/EIS-0380

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of No Significant6-2002DOE/EA-1313 Rev.79-SA-0190-SA-032 FISCAL31

  17. DOE/ID-Number

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of No Significant6-2002DOE/EA-13135 Final Environmental(July

  18. DOE/ID-Number

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of No Significant6-2002DOE/EA-13135 Final

  19. DOE/ID-Number

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of No Significant6-2002DOE/EA-13135 FinalUsed Fuel Disposal in

  20. DOE/ID-Number

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of No Significant6-2002DOE/EA-13135 FinalUsed Fuel Disposal in310

  1. DOE/ID-Number

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of No Significant6-2002DOE/EA-13135 FinalUsed Fuel Disposal

  2. DOE Exascale Initiative

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. DepartmentEnergy ThisStandardsSeptember 7, 2012DepartmentHudsonWestern DOE

  3. Cameron Salony, DOE

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced. C o w l i t z C o . C l a r8.05 CalendarINT'L. S C HOLARMedia

  4. DOE/BP-3828

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration wouldDECOMPOSITION OF CALCIUMCOSTDOENuclear1 ofDOE Office of

  5. DOE/BP-4674

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration wouldDECOMPOSITION OF CALCIUMCOSTDOENuclear1 ofDOE Office of

  6. DOE/EA-

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration wouldDECOMPOSITION OF CALCIUMCOSTDOENuclear1 ofDOE Office of4 Volume1 FINAL

  7. DOE/EA-XXXX

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration wouldDECOMPOSITION OF CALCIUMCOSTDOENuclear1 ofDOE Office of4 Volume153049

  8. DOE/CF-0059

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data Center HomeIdleBiologicalCrosscutting SuccessOperationalDOE Plans2 of 4)349

  9. DOE/CF-0086

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube| Department ofDepartment9-92January 20,Department of Energy4-99 DOE-TSL-4-99

  10. DOE FILE NO.

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA groupTuba City, Arizona, DisposalFourthNrr-osams ADMIN RCDBaseline0 0 0 0 0 DOE

  11. DOE's Offices of Environmental

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613PortsmouthBartlesvilleAboutStatement of Intent (SOI) between the US Dept of Energy (DOE)

  12. Published in Artificial Life V: Proc. Fifth Inter. Conf. on the Synthesis and Simulation of Living Systems, Nara, Japan, May, 1996. Perception and Learning in Artificial Animals

    E-Print Network [OSTI]

    Terzopoulos, Demetri

    Systems, Nara, Japan, May, 1996. Perception and Learning in Artificial Animals Demetri Terzopoulos, Tamer active perception system that enables artificial marine animals to navigate purposefully throughPublished in Artificial Life V: Proc. Fifth Inter. Conf. on the Synthesis and Simulation of Living

  13. Published in Artificial Life V: Proc. Fifth Inter. Conf. on the Synthesis and Simulation of Living Systems, Nara, Japan, May, 1996. Perception and Learning in Artificial Animals

    E-Print Network [OSTI]

    Toronto, University of

    Systems, Nara, Japan, May, 1996. Perception and Learning in Artificial Animals Demetri Terzopoulos, Tamer in the dynamic environment [2]. 1 We present a pro­ totype active perception system that enables artificialPublished in Artificial Life V: Proc. Fifth Inter. Conf. on the Synthesis and Simulation of Living

  14. Application of artificial neural networks for damage indices classification with the use of Lamb waves for the aerospace structures.

    E-Print Network [OSTI]

    Application of artificial neural networks for damage indices classification with the use of Lamb of view. Artificial neural network has been used for the classification of fatigue cracks and artificial@agh.edu.pl, *corresponding author Keywords: NDT, Ultrasonic testing, Lamb waves, Artificial intelligence, Artificial Neural

  15. Carotenoid Photoprotection in Artificial Photosynthetic Antennas

    SciTech Connect (OSTI)

    Kloz, Miroslav; Pillai, Smitha; Kodis, Gerdenis; Gust, Devens; Moore, Thomas A.; Moore, Ana L.; van Grondelle, Rienk; Kennis, John T. M.

    2011-01-01T23:59:59.000Z

    A series of phthalocyanine?carotenoid dyads in which a phenylamino group links a phthalocyanine to carotenoids having 8?11 backbone double bonds were examined by visible and near-infrared femtosecond pump?probe spectroscopy combined with global fitting analysis. The series of molecules has permitted investigation of the role of carotenoids in the quenching of excited states of cyclic tetrapyrroles. The transient behavior varied dramatically with the length of the carotenoid and the solvent environment. Clear spectroscopic signatures of radical species revealed photoinduced electron transfer as the main quenching mechanism for all dyads dissolved in a polar solvent (THF), and the quenching rate was almost independent of carotenoid length. However, in a nonpolar solvent (toluene), quenching rates displayed a strong dependence on the conjugation length of the carotenoid and the mechanism did not include charge separation. The lack of any rise time components of a carotenoid S{sub 1} signature in all experiments in toluene suggests that an excitonic coupling between the carotenoid S{sub 1} state and phthalocyanine Q state, rather than a conventional energy transfer process, is the major mechanism of quenching. A pronounced inhomogeneity of the system was observed and attributed to the presence of a phenyl-amino linker between phthalocyanine and carotenoids. On the basis of accumulated work on various caroteno?phthalocyanine dyads and triads, we have now identified three mechanisms of tetrapyrrole singlet excited state quenching by carotenoids in artificial systems: (i) Car?Pc electron transfer and recombination; (ii){sup 1}Pc to Car S{sub 1} energy transfer and fast internal conversion to the Car ground state; (iii) excitonic coupling between {sup 1}Pc and Car S{sub 1} and ensuing internal conversion to the ground state of the carotenoid. The dominant mechanism depends upon the exact molecular architecture and solvent environment. These synthetic systems are providing a deeper understanding of structural and environmental effects on the interactions between carotenoids and tetrapyrroles and thereby better defining their role in controlling natural photosynthetic systems.

  16. DOE-STD-1104 Requirements Crosswalk

    Office of Environmental Management (EM)

    09 to DOE-STD-1104-2014 Requirements Matrix - 1 - No. Section Page Number DOE-STD-1104-2009 Requirement DOE-STD-1104-2014 Requirements Comment Gen DOE-STD-1104-2009 was broadly...

  17. Introducing the DOE Sustainability Dashboard

    Broader source: Energy.gov [DOE]

    Please join us as we introduce DOE's new Sustainability Dashboard. This webinar will provide an overview and demonstration of the new Dashboard and offer an opportunity for questions.

  18. DOE F 4220-10

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

    6. Contract, Grant, or Other Agreement No.: (Specify Type of Instrument) New Renewal Termination (See Inst) Modification (Total to date: ) Does this award result from an...

  19. presentations | netl.doe.gov

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

    International Activity Project Information Project Portfolio Publications Coal Gasification Magazine Solicitations FAQs Overview of DOE's C&CBTL Program (Dec 2014) The C&CBTL...

  20. receive DOE Early Career Award

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

    hydrological controls on carbon cycling in flood plain ecosystems into Earth System Models (ESM). "The DOE Early Career Research Award represents both a significant honor...

  1. seq | netl.doe.gov

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

    System, based on DOE's Integrated Safety Management System, the International Organization for Standardization (ISO) 14000 series, and the Occupational Health and Safety...

  2. DOE IDIQ ESPC Awarded Projects

    Broader source: Energy.gov [DOE]

    Excel spreadsheet summarizes the U.S. Department of Energy's (DOE) indefinite delivery, indefinite quantity (IDIQ) energy savings performance contract (ESPC) awarded projects.

  3. coal | netl.doe.gov

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

    Commercial Technologies for Coal Storage and Feed Preparation AlternativesSupplements to Coal - Feedstock Flexibility DOE Supported R&D for CoalBiomass Feed and Gasification...

  4. Lighting system combining daylight concentrators and an artificial source

    DOE Patents [OSTI]

    Bornstein, Jonathan G. (Miami, FL); Friedman, Peter S. (Toledo, OH)

    1985-01-01T23:59:59.000Z

    A combined lighting system for a building interior includes a stack of luminescent solar concentrators (LSC), an optical conduit made of preferably optical fibers for transmitting daylight from the LSC stack, a collimating lens set at an angle, a fixture for receiving the daylight at one end and for distributing the daylight as illumination inside the building, an artificial light source at the other end of the fixture for directing artifical light into the fixture for distribution as illumination inside the building, an automatic dimmer/brightener for the artificial light source, and a daylight sensor positioned near to the LSC stack for controlling the automatic dimmer/brightener in response to the daylight sensed. The system also has a reflector positioned behind the artificial light source and a fan for exhausting heated air out of the fixture during summer and for forcing heated air into the fixture for passage into the building interior during winter.

  5. Myoelectric Control of Artificial Limb Inspired by Quantum Information Processing

    E-Print Network [OSTI]

    Michael Siomau; Ning Jiang

    2014-11-21T23:59:59.000Z

    Precise and elegant coordination of a prosthesis across many degrees of freedom represents a significant challenge to efficient rehabilitation of people with limb deficiency. Processing the electrical neural signals, collected from the surface of the remnant muscles of the stump, is a common way to initiate and control the different movements available to the artificial limb. Based on the assumption that there are distinguishable and repeatable signal patterns among different types of muscular activation, the problem of the prosthesis control reduces to one of pattern recognition. Widely accepted classical methods for pattern recognition, however, cannot provide simultaneous and proportional control of the artificial limb. Here we show that, in principle, quantum information processing of the neural signals allows us to overcome the above-mentioned difficulties suggesting a very simple scheme for myoelectric control of artificial limb with advanced functionalities.

  6. Quantum anti-Zeno effect in artificial quantum systems

    E-Print Network [OSTI]

    Qing Ai; Jie-Qiao Liao; C. P. Sun

    2010-03-24T23:59:59.000Z

    In this paper, we study a quantum anti-Zeno effect (QAZE) purely induced by repetitive measurements for an artificial atom interacting with a structured bath. This bath can be artificially realized with coupled resonators in one dimension and possesses photonic band structure like Bloch electron in a periodic potential. In the presence of repetitive measurements, the pure QAZE is discovered as the observable decay is not negligible even for the atomic energy level spacing outside of the energy band of the artificial bath. If there were no measurements, the decay would not happen outside of the band. In this sense, the enhanced decay is completely induced by measurements through the relaxation channels provided by the bath. Besides, we also discuss the controversial golden rule decay rates originated from the van Hove's singularities and the effects of the counter-rotating terms.

  7. Artificial ciliary bundles with nano fiber tip links

    E-Print Network [OSTI]

    Asadnia, Mohsen; Miao, Jianmin; Triantafyllou, Michael

    2015-01-01T23:59:59.000Z

    Mechanosensory ciliary bundles in fishes are the inspiration for carefully engineered artificial flow sensors. We report the development of a new class of ultrasensitive MEMS flow sensors that mimic the intricate morphology of the ciliary bundles, including the stereocilia, tip links, and the cupula, and thereby achieve threshold detection limits that match the biological example. An artificial ciliary bundle is achieved by fabricating closely-spaced arrays of polymer micro-pillars with gradiating heights. Tip links that form the fundamental sensing elements are realized through electrospinning aligned PVDF piezoelectric nano-fibers that link the distal tips of the polymer cilia. An optimized synthesis of hyaluronic acid-methacrylic anhydride hydrogel that results in properties close to the biological cupula, together with drop-casting method are used to form the artificial cupula that encapsulates the ciliary bundle. In testing, fluid drag force causes the ciliary bundle to slide, stretching the flexible nan...

  8. DOE Leadership & Career Development Programs | Department of...

    Energy Savers [EERE]

    Development DOE Leadership & Career Development Programs DOE Leadership & Career Development Programs Senior Executive Service Candidate Development Program (SESCDP): This...

  9. Final Report to DOE

    SciTech Connect (OSTI)

    Ismail Gultepe

    2012-05-15T23:59:59.000Z

    This final report summarizes the accomplished goals and provide a list of the publications and presentations made during the project. The goals of the project were accomplished through the various publications submitted to Journals and presentations done at the DOE and international meetings and conferences. The 8 journal articles related to the goals of this project were accepted or submitted. The 23 presentations related to goals of the project were presented at the meetings. There were some minor changes regarding to project goals because of issues encountered during the analysis of the data. For example, a total water probe sensor mounted on the Convair-580 that can be used for defining mixed phase conditions and parameterization, had some problems to estimate magnitude of total water mass, and this resulted in issues providing an accurate parameterization for cloud fraction. Variability related aerosol number concentrations and their composition for direct and indirect effects were studied and published. Results were given to explain aerosol and ice microphysical effects on climate change studies. It is suggested that developed parameterizations should consider the variability in aerosol and ice parameters over the Arctic regions.

  10. DOE handbook: Design considerations

    SciTech Connect (OSTI)

    NONE

    1999-04-01T23:59:59.000Z

    The Design Considerations Handbook includes information and suggestions for the design of systems typical to nuclear facilities, information specific to various types of special facilities, and information useful to various design disciplines. The handbook is presented in two parts. Part 1, which addresses design considerations, includes two sections. The first addresses the design of systems typically used in nuclear facilities to control radiation or radioactive materials. Specifically, this part addresses the design of confinement systems and radiation protection and effluent monitoring systems. The second section of Part 1 addresses the design of special facilities (i.e., specific types of nonreactor nuclear facilities). The specific design considerations provided in this section were developed from review of DOE 6430.1A and are supplemented with specific suggestions and considerations from designers with experience designing and operating such facilities. Part 2 of the Design Considerations Handbook describes good practices and design principles that should be considered in specific design disciplines, such as mechanical systems and electrical systems. These good practices are based on specific experiences in the design of nuclear facilities by design engineers with related experience. This part of the Design Considerations Handbook contains five sections, each of which applies to a particular engineering discipline.

  11. Laboratory rearing of the cottonwood twig borer on artificial diets

    E-Print Network [OSTI]

    Mastro, Victory Carl

    1973-01-01T23:59:59.000Z

    LABORATORY REARING OF THE COTTONWOOD TWIG BORER ON ARTIFICIAL DIETS A Thesis VICTOR CARL MASTRO Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE August... 1973 Ma)or Sub)ect: Entomology LABORATORY REARING OF THE COTTONWOOD TWIG BORER ON ARTIFICIAL DIETS A Thesis by VICTOR CARL MASTRO Approved as to style and conte by (Cha rman of Committee) Head De artment) (He er) ( mber) mber) August 1973...

  12. On Teaching Quality Improvement of a Mathematical Topic Using Artificial Neural Networks Modeling (With a Case Study)

    E-Print Network [OSTI]

    Spagnolo, Filippo

    431 On Teaching Quality Improvement of a Mathematical Topic Using Artificial Neural Networks inspired by simulation by Artificial Neural Networks (ANNs) applied recently for evaluation of phonics performance. Keywords: Artificial Neural Networks, Learning Performance Evaluation, Computer Aided Learning

  13. Celebrating DOE'sCleanup

    E-Print Network [OSTI]

    .S. Department of Energy (DOE) and Brookhaven National Laboratory management (the Lab) will celebrate a momentousCelebrating DOE'sCleanup Accomplishments then,now,andtomorrow U.S. Department of Energy Brookhaven-by-shovel, system-by-system, and project-by-project, incremental but progressive achievements were made

  14. DOE's Roof Savings Calculator (RSC)

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    energy consumption, 2006 Source: Building Energy Data Book, U.S. DOE, Prepared by D&R International, Ltd and windows Source: Building Energy Data Book, U.S. DOE, Prepared by D&R International, Ltd., September 2008. Figure 3. Commercial energy loads attributed to envelope and windows Source: Building Energy Data Book, U

  15. Interplay of oxygen-evolution kinetics and photovoltaic power curves on the construction of artificial leaves

    E-Print Network [OSTI]

    Surendranath, Yogesh

    An artificial leaf can perform direct solar-to-fuels conversion. The construction of an efficient artificial leaf or other photovoltaic (PV)-photoelectrochemical device requires that the power curve of the PV material and ...

  16. A RECONFIGURABLE COMPUTING ARCHITECTURE FOR IMPLEMENTING ARTIFICIAL NEURAL NETWORKS ON FPGA

    E-Print Network [OSTI]

    Areibi, Shawki M

    A RECONFIGURABLE COMPUTING ARCHITECTURE FOR IMPLEMENTING ARTIFICIAL NEURAL NETWORKS ON FPGA Professor Shawki Areibi Artificial Neural Networks (ANNs), and the backpropagation algorithm in particular NEURAL NETWORKS ON FPGA Kristian Nichols University of Guelph, 2003 Advisor: Professor Medhat Moussa

  17. First Year Sedimentological Characteristics and Morphological Evolution of an Artificial Berm at Fort Myers Beach, Florida

    E-Print Network [OSTI]

    US Army Corps of Engineers

    First Year Sedimentological Characteristics and Morphological Evolution of an Artificial Berm Methods and Data Analysis 29 Results and Discussion 34 Sedimentological Characteristics of the Artificial Project Area 45 Control Area Northwest of Berm 47 Discussion of Sedimentological Characteristics 49

  18. Visually-Guided Robot Navigation: From Artificial To Natural Landmarks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Visually-Guided Robot Navigation: From Artificial To Natural Landmarks Enric Celaya, Jose-Luis Albarral, Pablo Jim´enez, and Carme Torras Institut de Rob`otica i Inform`atica Industrial (CSIC seems to be the fast detection of reliable visual references in the image stream as the robot moves

  19. Alan Turing and the development of Artificial Intelligence

    E-Print Network [OSTI]

    Muggleton, Stephen H.

    Alan Turing and the development of Artificial Intelligence Stephen Muggleton Department of the early work of Alan Turing which pre-dated his paper in Mind [42]. 1.1 Early work of Computing, Imperial College London December 19, 2012 Abstract During the centennial year of his birth Alan

  20. Foundations of Artificial Intelligence Introduction to Data Mining

    E-Print Network [OSTI]

    Qu, Rong

    Foundations of Artificial Intelligence Introduction to Data Mining #12;Data Mining Objectives Introduce a range of data mining techniques used in AI systems including : · Neural networks · Decision trees · ... Present some real life data mining applications. Student should gain the knowledge on how

  1. Introduction to Artificial Intelligence An Introduction to Data Mining

    E-Print Network [OSTI]

    Qu, Rong

    Introduction to Artificial Intelligence G51IAI An Introduction to Data Mining #12; Introduce a range of data mining techniques used in AI systems including : · Neural networks · Decision trees · ... Present some real life data mining applications. 2 Learning Objectives Dr Rong Qu G51IAI ­ Data Mining #12

  2. To appear, Artificial Intelligence, 1995 Abduction as Belief Revision

    E-Print Network [OSTI]

    Boutilier, Craig

    To appear, Artificial Intelligence, 1995 Abduction as Belief Revision Craig Boutilier and Ver, V6T 1Z4 email: cebly@cs.ubc.ca, becher@cs.ubc.ca Abstract We propose a model of abduction based the generality of our approach, we reconstruct two of the key paradigms for model-based diagnosis, abductive

  3. Reverse Engineering by Artificial Network Evolution Thomas Hinze1

    E-Print Network [OSTI]

    Hinze, Thomas

    information is a promising and challenging field at the crossroads of optimisation and model selection of evolving larger networks. Within an ongoing study, we complement a control system-based specification of a circadian oscillator with artificial evolution of its modular components (e.g. controller, actuator, plant

  4. artificial spiked test: Topics by E-print Network

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

    artificial spiked test First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Neuromimetic encodingdecoding...

  5. artificially structured materials: Topics by E-print Network

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

    artificially structured materials First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Vector Symbolic...

  6. artificial implantation materials: Topics by E-print Network

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

    artificial implantation materials First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 "In Vivo" Pose...

  7. artificial organ materials: Topics by E-print Network

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

    artificial organ materials First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Deformable Organisms: An...

  8. NEST Scientific Report 2007-2009 Graphene and artificial graphene

    E-Print Network [OSTI]

    Abbondandolo, Alberto

    NEST Scientific Report 2007-2009 Graphene 43 Graphene and artificial graphene T his area-layer graphene behave like massless fermions. Graphene is a first remarkable and clean example of the impact of a potential with honeycomb structure on the electronic states and dynamics. In graphene the crystalline

  9. artificial restriction dna: Topics by E-print Network

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

    0.5 ul 10X buffer 4 ul dH2O mix well add 1 ul to digest and mix well; place digest on wet ice until 31 Artificial Forms CiteSeer Summary: Using results from the simulation of...

  10. artificial martian regolith: Topics by E-print Network

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

    artificial martian regolith First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Water in the Martian...

  11. THE EFFECT OF ARTIFICIALLY REDUCING THE SIZE OF INDUCTORS IN

    E-Print Network [OSTI]

    Fleming, Andrew J.

    damped using a capacitance modi¯ed shunt circuit. Keywords: Dampers, Passive Compensation, Vibration of the piezoelectric transducer, creates a damped electrical resonance, equivalent to that of a tuned vibrationalTHE EFFECT OF ARTIFICIALLY REDUCING THE SIZE OF INDUCTORS IN PIEZOELECTRIC SHUNT DAMPING CIRCUITS 1

  12. Characterization of Shape Memory Alloys Using Artificial Neural Networks

    E-Print Network [OSTI]

    Valasek, John

    Characterization of Shape Memory Alloys Using Artificial Neural Networks James V. Henrickson , Kenton Kirkpatrick, and John Valasek Texas A&M University, College Station, Texas 77843-3141 Shape memory of shape memory alloys, however, is often com- plicated by their hysteretic, non-linear, thermo

  13. Artificial Muscle Construction Using Natural Rubber Latex in Thailand

    E-Print Network [OSTI]

    Laksanacharoen, Sathaporn

    Artificial Muscle Construction Using Natural Rubber Latex in Thailand Sathaporn Laksanacharoen of the inner rubber tube, made from natural rubber latex in Thailand, and the braided outer sleeve of natural rubber latex, however, its value of export is very minimal. This work try to make it worthwhile

  14. Vector Symbolic Architectures: A New Building Material for Artificial General

    E-Print Network [OSTI]

    Levy, Simon D.

    Vector Symbolic Architectures: A New Building Material for Artificial General Intelligence1 Simon D. LEVY a,2 , and Ross GAYLER b a Washington and Lee University, USA b Veda Advantage Solutions, Australia. By directly encoding structure using famil- iar, computationally efficient algorithms, VSA bypasses many

  15. artificial neural net: Topics by E-print Network

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

    neural net First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 On Combining Artificial Neural Nets CiteSeer...

  16. Computer Viruses as Artificial Life Eugene H. Spafford

    E-Print Network [OSTI]

    Somayaji, Anil

    withlifeas defined by some researchers inthe area of artificial lifeand self- organizing systems. The paper and experimentation. 1 Introduction There has been considerable interest in computer viruses during the last several can be damaging and malicious in nature. When that happens by accident, we call the code involved

  17. Secret Communication using Artificial Noise Rohit Negi, Satashu Goel

    E-Print Network [OSTI]

    Yener, Aylin

    Secret Communication using Artificial Noise Rohit Negi, Satashu Goel ECE Department, Carnegie Mellon University, PA 15213, USA {negi,satashug}@ece.cmu.edu Abstract-- The problem of secret receiver without the eavesdropper being able to decode the secret message. We consider the problem

  18. Computer Science and Artificial Intelligence Laboratory Technical Report

    E-Print Network [OSTI]

    Lynch, Nancy

    Computer Science and Artificial Intelligence Laboratory Technical Report massachusetts institute these are translated to executable code. Formal system specifications and their behavior analysis are valuable tools that should be at the disposal of the software developers, especially when dealing with systems exhibiting

  19. Echo Meadows Project Winter Artificial Recharge.

    SciTech Connect (OSTI)

    Ziari, Fred

    2002-12-19T23:59:59.000Z

    This report discusses the findings of the Echo Meadows Project (BPA Project 2001-015-00). The main purpose of this project is to artificially recharge an alluvial aquifer, WITH water from Umatilla River during the winter high flow period. In turn, this recharged aquifer will discharge an increased flow of cool groundwater back to the river, thereby improving Umatilla River water quality and temperature. A considerable side benefit is that the Umatilla River should improve as a habitat for migration, spanning, and rearing of anadromous and resident fish. The scope of this project is to provide critical baseline information about the Echo Meadows and the associated reach of the Umatilla River. Key elements of information that has been gathered include: (1) Annual and seasonal groundwater levels in the aquifer with an emphasis on the irrigation season, (2) Groundwater hydraulic properties, particularly hydraulic conductivity and specific yield, and (3) Groundwater and Umatilla River water quality including temperature, nutrients and other indicator parameters. One of the major purposes of this data gathering was to develop input to a groundwater model of the area. The purpose of the model is to estimate our ability to recharge this aquifer using water that is only available outside of the irrigation season (December through the end of February) and to estimate the timing of groundwater return flow back to the river. We have found through the data collection and modeling efforts that this reach of the river had historically returned as much as 45 cubic feet per second (cfs) of water to the Umatilla River during the summer and early fall. However, this return flow was reduced to as low as 10 cfs primarily due to reduced quantities of irrigation application, gain in irrigation efficiencies and increased groundwater pumping. Our modeling indicated that it is possible to restore these critical return flows using applied water outside of the irrigation season. We further found that this water can be timed to return to the river during the desired time of the year (summer to early fall). This is because the river stage, which remains relatively high until this time, drops during the irrigation season-thereby releasing the stored groundwater and increasing river flows. A significant side benefit is that these enhanced groundwater return flows will be clean and cold, particularly as compared to the Umatilla River. We also believe that this same type of application of water could be done and the resulting stream flows could be realized in other watersheds throughout the Pacific Northwest. This means that it is critical to compare the results from this baseline report to the full implementation of the project in the next phase. As previously stated, this report only discusses the results of data gathered during the baseline phase of this project. We have attempted to make the data that has been gathered accessible with the enclosed databases and spreadsheets. We provide computer links in this report to the databases so that interested parties can fully evaluate the data that has been gathered. However, we cannot emphasize too strongly that the real value of this project is to implement the phases to come, compare the results of these future phases to this baseline and develop the science and strategies to successfully implement this concept to other rivers in the Pacific Northwest. The results from our verified and calibrated groundwater model matches the observed groundwater data and trends collected during the baseline phase. The modeling results indicate that the return flows may increase to their historic values with the addition of 1 acre-ft/acre of recharge water to the groundwater system (about 9,600 acre-feet total). What this means is that through continued recharge project, you can double to quadruple the annual baseflow of the Umatilla River during the low summer and fall flow periods as compared to the present base-flow. The cool and high quality recharge water is a significant beneficial impact to the river system.

  20. Artificial Intelligence 58 (1992) 3-20 3 The logic of

    E-Print Network [OSTI]

    Mackworth, Alan K.

    Artificial Intelligence 58 (1992) 3-20 3 Elsevier ARTINT 948 The logic of satisfaction constraint, Canada V6T 1W5 Abstract Mackworth, A.K., The logic of constraint satisfaction, Artificial Intelligence 58 Artificial Intelligence and related areas. The finite CSP (FCSP) framework is presented here as a restricted

  1. Evolution Induced Secondary Immunity: An Artificial Immune System based Intrusion Detection System

    E-Print Network [OSTI]

    Sanyal, Sugata

    Evolution Induced Secondary Immunity: An Artificial Immune System based Intrusion Detection System@rediffmail.com Abstract The analogy between Immune Systems and Intrusion Detection Systems encourage the use of Artificial Artificial Immune System along with Genetic algorithm to develop an Intrusion Detection System. Far from

  2. Artificial light and quantum order in systems of screened dipoles Xiao-Gang Wen

    E-Print Network [OSTI]

    Wen, Xiao-Gang

    Artificial light and quantum order in systems of screened dipoles Xiao-Gang Wen Department discussed. The existence of artificial light (as well as artificial electron) in condensed matter systems a new kind of order - quantum order. To test this idea in experiments, we study systems of screened

  3. SEVEN DESIRABLE PROPERTIES FOR ARTIFICIAL LEARNING SYSTEMS Christophe GiraudCarrier and Tony Martinez

    E-Print Network [OSTI]

    Martinez, Tony R.

    SEVEN DESIRABLE PROPERTIES FOR ARTIFICIAL LEARNING SYSTEMS Christophe Giraud­Carrier and Tony@axon.cs.byu.edu, martinez@cs.byu.edu Abstract We propose seven desirable properties for artificial learning systems, namely into the system after the fact. Much effort has been devoted to understanding learning and reasoning in artificial

  4. An Adaptive Artificial Viscosity Method for the Saint-Venant System

    E-Print Network [OSTI]

    Kurganov, Alexander

    An Adaptive Artificial Viscosity Method for the Saint-Venant System Yunlong Chen, Alexander in applying the adaptive artificial viscosity method proposed in [13] to the Saint-Venant system of shallow enforc- ing the nonlinear stability by adding an artificial viscosity to the PDE system in the regions

  5. June 8, 2011 20:19 WSPC/INSTRUCTION FILE Artificial*Restraint*Systems

    E-Print Network [OSTI]

    Hurst, Jonathan

    June 8, 2011 20:19 WSPC/INSTRUCTION FILE Artificial*Restraint*Systems International Journal of Humanoid Robotics c World Scientific Publishing Company Artificial Restraint Systems for Walking. This paper focuses solely on the artificial restraint system for legged robots, with discussion of various

  6. An Artificial Hormone System for Self-organization of Networked Nodes

    E-Print Network [OSTI]

    Ungerer, Theo

    An Artificial Hormone System for Self-organization of Networked Nodes Wolfgang Trumler, Tobias) as a general approach to build self-organizing systems based on networked nodes. The Artificial Hormone System an abstract point of view with focus on the mechanisms that were transferred to the Artificial Hormone System

  7. A Hybrid Artificial Immune System and Self Organising Map for Network Intrusion

    E-Print Network [OSTI]

    Alvarez, Nadir

    A Hybrid Artificial Immune System and Self Organising Map for Network Intrusion Detection Simon T using an artificial immune system. Connections that are flagged as anoma- lous are then categorised://www.sciencedirect.com/science/article/pii/S0020025507005531.] Key words: Artificial immune system; Self Organizing Map; Intrusion detection; Genetic algorithm

  8. Integrating Neuromuscular and Cyber Systems for Neural Control of Artificial Legs

    E-Print Network [OSTI]

    Sun, Yan Lindsay

    Integrating Neuromuscular and Cyber Systems for Neural Control of Artificial Legs He Huang, Yan (CPS) for neurally controlled artificial legs. The key to the new CPS system is the neural resulted in a highly accurate and reliable software system for neural control of artificial legs

  9. for ISMIS91 The Roles of Artificial Intelligence in Information Systems

    E-Print Network [OSTI]

    Wiederhold, Gio

    1 for ISMIS­91 The Roles of Artificial Intelligence in Information Systems Gio Wiederhold Stanford are suitable for artificial intelligence approaches we outline an architectural structure for large systems simulations, databases, and design­systems routinely deal with millions of elements, major artificial

  10. Effects of rainwater-harvesting-induced artificial recharge on the groundwater of wells in Rajasthan, India

    E-Print Network [OSTI]

    McClain, Michael

    by artificially recharging local groundwater. Keywords Rainwater harvesting . Artificial recharge . Water qualityEffects of rainwater-harvesting-induced artificial recharge on the groundwater of wells. Anderson & Narendra K. Chauhan Abstract In light of the increasing deterioration of ground- water supplies

  11. 15-17 2546 Design and Construction of Rubber Pneumatic Artificial Muscles

    E-Print Network [OSTI]

    Laksanacharoen, Sathaporn

    17 15-17 2546 Design and Construction of Rubber Pneumatic Artificial Muscles 1 2 1 1518 Abstract The purpose of this research work is to design and construct the rubber artificial muscles and lateral displacement of the rubber artificial muscle. This research work is divided into two sections

  12. Peroxidase activity of perennial ryegrass and tall fescue seedlings artificially infected with endophytes

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    with endophytes Walid Naffaaa Catherine Ravelb Nicole Boyer' Jean-Jacques Guillaumina a Unité de pathologie. The peroxidase activity of tall fescue cv. Clarine artificially infected with Neotyphodium coenophialum or with e-endophytes ryegrass cv. Vigor artificially infected with different e-endophytes. In contrast, artificial infection

  13. 2006 Nature Publishing Group Artificial `spin ice' in a geometrically frustrated

    E-Print Network [OSTI]

    Chandra, Premi

    © 2006 Nature Publishing Group Artificial `spin ice' in a geometrically frustrated lattice positions in frozen water3­6 . Here we report an artificial geometrically frus- trated magnet based is strikingly similar to the low-temperature state of spin ice. These results demonstrate that artificial

  14. Stochastic simulation and spatial estimation with multiple data types using artificial neural networks

    E-Print Network [OSTI]

    Vermont, University of

    July 2007; published 8 November 2007. [1] A novel data-driven artificial neural network (ANN and spatial estimation with multiple data types using artificial neural networks, Water Resour. Res., 43, WStochastic simulation and spatial estimation with multiple data types using artificial neural

  15. Fluorescence diagnostics of oil pollution in coastal marine waters by use of artificial neural networks

    E-Print Network [OSTI]

    Oldenburg, Carl von Ossietzky Universität

    marine waters with fluorescence spectroscopy and of using artificial neural networks for data interpre with an artificial neural network. The results demonstrate the possibility of estimating oil concentrationsFluorescence diagnostics of oil pollution in coastal marine waters by use of artificial neural

  16. Comparative application of artificial neural networks and genetic algorithms for multivariate time-series modelling

    E-Print Network [OSTI]

    Fernandez, Thomas

    Comparative application of artificial neural networks and genetic algorithms for multivariate time of artificial neural networks and genetic algorithms in terms of forecasting and understanding of algal blooms-a, Microcystis, short-term prediction, artificial neural network model, genetic algorithm model, rule sets

  17. Application of Artificial Neural Network in Social Computing in the Context of Third World Countries

    E-Print Network [OSTI]

    Ghosh, Joydeep

    Application of Artificial Neural Network in Social Computing in the Context of Third World - In the last decade, applications associated with artificial neural network (ANN) has been gaining popularity amount of data, application of computational tools like Artificial Neural Network, Association rules

  18. May 24, 2012 18:36 manuscript Data Processing using Artificial Neural Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    May 24, 2012 18:36 manuscript Data Processing using Artificial Neural Networks to Improve uncertainties introduced by the 4D-CT scan, we conveniently treated data using artificial neural networks. More step are then used to build a training set for another artificial neural network that learns the lung

  19. 1 Introduction The artificial neural network discussed in this paper is unlike most other neural network

    E-Print Network [OSTI]

    Delaware, University of

    1 1 Introduction The artificial neural network discussed in this paper is unlike most other neural practically all types of artificial neural network architectures were modeled, with varying levels of Connection Patterns for a Dynamic Artificial Neural Network Proceedings of the Combinations of Genetic

  20. A Predictive Model for Slip Resistance Using Artificial Neural Networks Janet M. Twomey, IIE Student Member

    E-Print Network [OSTI]

    Smith, Alice E.

    A Predictive Model for Slip Resistance Using Artificial Neural Networks Janet M. Twomey, IIE Artificial Neural Networks Why This Paper is Important Slips and falls are a serious ergonomic problem a slip resistance testing device were used to develop an artificial neural network model which predicts