Sample records for artificial retina project

  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. 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

  6. 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.

  7. 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...

  8. 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.

  9. The Smart Engineering Apprentice (SEA) Project is an advanced artificial intelligence model that aims to predict the future failure of rod pump units. Innovative and modern, this

    E-Print Network [OSTI]

    Shahabi, Cyrus

    The Smart Engineering Apprentice (SEA) Project is an advanced artificial intelligence model system is the apprentice of field experts, and `learns' from experts through their past experiences

  10. The Smart Engineering Apprentice (SEA) Project is an advanced artificial intelligence model that aims to predict the future failure of rod pump units. Innovative and modern, this novel

    E-Print Network [OSTI]

    Wang, Hai

    The Smart Engineering Apprentice (SEA) Project is an advanced artificial intelligence model system is the apprentice of field experts, and ,,learns from experts through their past experiences

  11. School of Architecture, Design and the Built Environment Project Title: Artificial bone for prosthetic hip joints

    E-Print Network [OSTI]

    Evans, Paul

    formation by the Additive Manufacturing (AM) direct printing process. The artificial bone must and the development of new additive manufacturing techniques for medical devices. The group has active links and structural gradients into the prosthesis. It is envisioned this could involve the use of additively

  12. 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

  13. Annual Review of BPA-Funded Projects in Natural and Artificial Propagation of Salmonids, March 27-29, 1985, Holiday Inn Airport, Portland, Oregon.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1985-04-01T23:59:59.000Z

    The Fish and Wildlife Division of Bonneville Power Administration (BPA) hosted a meeting for contractors to present the results of fiscal year 1984 research conducted to implement the Northwest Power Planning Council's Fish and Wildlife Program. The meeting focused on those projects specifically related to natural and artificial propagation of salmonids. The presentations were held at the Holiday Inn Airport in Portland, Oregon, on March 27-29, 1985. This document contains abstracts of the presentations from that meeting. Section 1 contains abstracts on artificial propagation, fish health, and downstream migration, and Section 2 contains abstracts on natural propagation and habitat improvement. The abstracts are indexed by BPA Project Number and by Fish and Wildlife Program Measure. The registered attendees at the meeting are listed alphabetically in Appendix A and by affiliation in Appendix B.

  14. 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

  15. 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...

  16. 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

  17. Johnson Creek Artificial Propagation and Enhancement Project Operations and Maintenance Program; Brood Year 2000: Johnson Creek Chinook Salmon Supplementation, Biennial Report 2000-2002.

    SciTech Connect (OSTI)

    Daniel, Mitch; Gebhards, John; Hill, Robert

    2003-05-01T23:59:59.000Z

    The Nez Perce Tribe, through funding provided by the Bonneville Power Administration, has implemented a small scale chinook salmon supplementation program on Johnson Creek, a tributary in the South Fork of the Salmon River, Idaho. The Johnson Creek Artificial Propagation Enhancement project was established to enhance the number of threatened Snake River summer chinook salmon (Oncorhynchus tshawytscha) returning to Johnson Creek through artificial propagation. Adult chinook salmon trapping, broodstock selection, and spawning was first implemented in 1998, did not occur in 1999, and was resumed in 2000. A total of 152 salmon were trapped in Johnson Creek in 2000, of which 73 (25 males, 16 females, and 32 jacks) fish were transported to Idaho Fish and Game=s South Fork Salmon River adult holding and spawning facility for artificial propagation purposes. The remaining 79 (29 males, 16 females, and 24 jacks) fish were released above the weir to spawn naturally. A total of 65,060 green eggs were taken from 16 female salmon and transported to the McCall Fish Hatchery for incubation and rearing. Egg counts indicated an average eye-up rate of 86.0% for 55,971 eyed eggs. Average fecundity for Johnson Creek females was 4,066 eggs per female. Juvenile fish were reared indoors at the McCall Fish Hatchery through November 2001. These fish were transferred to outdoor rearing facilities in December 2001 where they remained until release in March 2002. All of these fish were marked with Coded Wire Tags and Visual Implant Elastomer tags. In addition 9,987 were also PIT tagged. Hand counts provided by marking crews were used to amend the number of juvenile salmon released from the original egg count. A total of 57,392 smolts were released into a temporary acclimation channel in Johnson Creek on March 18, 19, 20, 2002. These fish were held in this facility until a fish screen was removed on March 22, 2002 and the fish were allowed to emigrate.

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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...

  3. 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...

  4. 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

  5. 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.

  6. 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

  7. 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

  8. 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

  9. 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 ...

  10. 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

  11. 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...

  12. Artificial Neural Networks and Hidden Markov Models for Predicting the Protein Structures: The Secondary Structure

    E-Print Network [OSTI]

    1 Artificial Neural Networks and Hidden Markov Models for Predicting the Protein Structures advice on the development of this project #12;2 Artificial Neural Networks and Hidden Markov Models learning methods: artificial neural networks (ANN) and hidden Markov models (HMM) (Rost 2002; Karplus et al

  13. 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....

  14. 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

  15. 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

  16. 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

  17. 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,

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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.

  5. 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...

  6. 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

  7. 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

  8. 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...

  9. 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. ...

  10. 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...

  11. 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...

  12. 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

  13. 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

  14. 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,

  15. 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

  16. 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

  17. Automate Monitoring System for the Dynamics of Lands Based on Aerial Photos Assessed by Artificial Neural Techniques

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    24 Automate Monitoring System for the Dynamics of Lands Based on Aerial Photos Assessed by Artificial Neural Techniques Ioan Ilean Department of Computer Science "1Decembrie 1918" University Alba. In this project an application of artificial neural networks to human-centered earth science information

  18. 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.

  19. 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.

  20. The Programmer's Apprentice Project: A Research Overview

    E-Print Network [OSTI]

    Rich, Charles

    1987-11-01T23:59:59.000Z

    The goal of the Programmer's Apprentice project is to develop a theory of how expert programmers analyze, synthesize, modify, explain, specify, verify, and document programs. This research goal overlaps both artificial ...

  1. 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.

  2. 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.

  3. 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.

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. Joint Center for Artificial Photosynthesis

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

    Executive Committee Paul Alivisatos Joel W. Ager III Chair of the Executive Committee Dr. Ager is the Project Leader for the JCAP Light Capture and Conversion Project and a Staff...

  19. 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

  20. 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.

  1. 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 ...

  2. 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 ...

  3. 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

  4. Ultrasensitive magnetic field detection using a single artificial atom

    E-Print Network [OSTI]

    Mustafa Bal; Chunqing Deng; Jean-Luc Orgiazzi; Florian Ong; Adrian Lupascu

    2013-01-04T23:59:59.000Z

    Efficient detection of magnetic fields is central to many areas of research and has important practical applications ranging from materials science to geomagnetism. High sensitivity detectors are commonly built using direct current-superconducting quantum interference devices (DC-SQUIDs) or atomic systems. Here we use a single artificial atom to implement an ultrahigh sensitivity magnetometer with a size in the micron range. The artificial atom is a superconducting two-level system at low temperatures, operated in a way similar to atomic magnetometry. The high sensitivity results from quantum coherence combined with strong coupling to magnetic field. By employing projective measurements, we obtain a sensitivity of $2.7\\, \\t{pT}/\\sqrt{\\t{Hz}}$ at 10 MHz. We discuss feasible improvements that will increase the sensitivity by over one order of magnitude. The intrinsic sensitivity of this method to AC fields in the 100 kHz - 10 MHz range compares favourably with DC-SQUIDs and atomic magnetometers of equivalent spatial resolution. This result illustrates the potential of artificial quantum systems for sensitive detection and related applications.

  5. Phosphene evaluation in a visual prosthesis with artificial neural networks Cdric Archambeau1

    E-Print Network [OSTI]

    Rattray, Magnus

    Phosphene evaluation in a visual prosthesis with artificial neural networks Cédric Archambeau1 of the optic nerve is investigated, as an approach to the development of a microsystems-based visual prosthesis). The development of a visual prosthesis is a project funded by the European Commission (Esprit LTR 22527 "Mivip

  6. Phosphene Evaluation in a Visual Prosthesis with Artificial Neural Cdric Archambeau1

    E-Print Network [OSTI]

    Rattray, Magnus

    Phosphene Evaluation in a Visual Prosthesis with Artificial Neural Networks Cédric Archambeau1 of the optic nerve is investigated, as an approach to the development of a microsystems-based visual prosthesis). The development of a visual prosthesis is a project funded by the European Commission (Esprit LTR 22527 "Mivip

  7. Prediction of visual perceptions with artificial neural networks in a visual prosthesis for the blind

    E-Print Network [OSTI]

    Rattray, Magnus

    Prediction of visual perceptions with artificial neural networks in a visual prosthesis. Introduction The European project OPTIVIP (Optimisation of the Visual Implantable Prosthesis) has recently been based visual prosthesis in order to restore partial vision to the blind. In this paper, an attempt

  8. Twenty-five years of artificial photosynthesis research at Ernest Orlando Lawrence Berkeley National Laboratory

    SciTech Connect (OSTI)

    Otvos, J.W.; Calvin, M.

    1996-02-01T23:59:59.000Z

    This report summarizes the research done on artificial photosynthesis by the Calvin Group between 1970 and 1995 when the program was terminated. It contains a compilation of the personnel involved as well as a bibliography of publications supported by the project.

  9. Search for A Lyapunov Function through Empirical Approximation by Artificial Neural Nets: Theoretical Framework

    E-Print Network [OSTI]

    Serpen, Gursel

    Search for A Lyapunov Function through Empirical Approximation by Artificial Neural Nets approximator for empirical modeling of a Lyapunov function for a nonlinear dynamic system that projects stable of designing the so-called Lyapunov neural network, which empirically models a Lyapunov function, is described

  10. Joint Center for Artificial Photosynthesis

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

    Membrane and Mesoscale Assembly The Membranes and Mesoscale Assembly Project seeks to develop methods for orienting, assembling, and interconnecting nanoscale functional assemblies...

  11. Joint Center for Artificial Photosynthesis

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

    and Nanoscale Interfaces Research in the Molecular and Nanoscale Interfaces Project is directed towards the development of strategies and tools for linking individual components...

  12. Joint Center for Artificial Photosynthesis

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

    Clifford P. Kubiak Project Leader for Molecular Catalysis Email: ckubiak@ucsd.edu Office: (858) 822-2665 University of California, San Diego Department of Chemistry and...

  13. Joint Center for Artificial Photosynthesis

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

    High-Throughput Experimentation high-throughput experimentation JCAP's High-Throughput Experimentation (HTE) project focuses on automated, high-throughput discovery of materials...

  14. Joint Center for Artificial Photosynthesis

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

    Alexis T. Bell Project Co-Leader for Heterogeneous Catalysis Email: alexbell@berkeley.edu Office: (510) 642-1536 Univeristy of California, Berkeley Department of Chemical...

  15. Joint Center for Artificial Photosynthesis

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

    C. Hemminger Project Leader, Heterogeneous Catalysis Email: jchemmin@uci.edu Office: (949) 824-5796 University of California, Irvine 160 Aldrich Hall Irvine, California 92697 Dr....

  16. Joint Center for Artificial Photosynthesis

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

    MatChS X-Ray Photoelectron Spectroscopy Database Overview The JCAP High Throughput Experimentation Project uses combinatorial methods to quickly identify promising light absorbers...

  17. Joint Center for Artificial Photosynthesis

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

    Catalysis molecular catalysis The Molecular Catalysis Project involves directed discovery of homogeneous catalysts for the key reactions involved in solar-fuel generation:...

  18. Joint Center for Artificial Photosynthesis

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

    Thomas F. Jaramillo Project Co-Leader for Benchmarking Email: jaramillo@stanford.edu Office: (650) 498-7879 Stanford University Dept. of Chemical Engineering Keck Sciences 259...

  19. Joint Center for Artificial Photosynthesis

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

    Heterogeneous Catalysis heterogeneous catalysis The focus of the Heterogeneous Catalysis project is to discover and develop heterogeneous catalysts for solar-fuel generation. Using...

  20. Joint Center for Artificial Photosynthesis

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

    Jian Jin Project Co-Leader: Chengxiang Xiang Investigators: David Dornfeld, Michael Hoffmann, Co-Investigators: Costas Grigoropoulos, Phil Marcus, John Newman, Omer Savas, Tarek...

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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

  2. 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...

  3. 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

  4. 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...

  5. 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

  6. Application of Artificial Intelligence to Reservoir Characterization - An Interdisciplinary Approach

    SciTech Connect (OSTI)

    Kelkar, B.G.; Gamble, R.F.; Kerr, D.R.; Thompson, L.G.; Shenoi, S.

    2000-01-12T23:59:59.000Z

    The primary goal of this project is to develop a user-friendly computer program to integrate geological and engineering information using Artificial Intelligence (AI) methodology. The project is restricted to fluvially dominated deltaic environments. The static information used in constructing the reservoir description includes well core and log data. Using the well core and the log data, the program identifies the marker beds, and the type of sand facies, and in turn, develops correlation's between wells. Using the correlation's and sand facies, the program is able to generate multiple realizations of sand facies and petrophysical properties at interwell locations using geostatistical techniques. The generated petrophysical properties are used as input in the next step where the production data are honored. By adjusting the petrophysical properties, the match between the simulated and the observed production rates is obtained.

  7. Joint Center for Artificial Photosynthesis

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

    Harry A. Atwater Director, and Project Leader for Membrane and Mesoscale Assembly Email: haa@caltech.edu Office: (626) 395-2197 Calif. Inst. of Technology 133 Jorgensen Laboratory...

  8. Joint Center for Artificial Photosynthesis

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

    Research Leadership Nathan S. Lewis Nathan S. Lewis Scientific Director and Project Co-Leader for Light Capture and Conversion Dr. Lewis is the George L. Argyros Professor of...

  9. Joint Center for Artificial Photosynthesis

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

    Gregoire Project Leader for High-Throughput Experimentation Email: gregoire@caltech.edu Office: (626) 395-2613 Calif. Inst. of Technology Jorgenen Laboratory Mail Code 132-80...

  10. Joint Center for Artificial Photosynthesis

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

    T. Don Tilley Project Co-Leader for Molecular Catalysis Email: tdtilley@berkeley.edu Office: (510) 642-8939 Univeristy of California, Berkeley Department of Chemistry 402 Latimer...

  11. Joint Center for Artificial Photosynthesis

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

    Chengxiang ("CX") Xiang Project Co-Leader for Scale-Up and Prototyping Email: cxx@caltech.edu Office: (626) 395-2613 Calif. Inst. of Technology Jorgenen Laboratory Mail Code 132-80...

  12. Joint Center for Artificial Photosynthesis

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

    in their fields and focus on the hardest problems in clean energy, we'll fund the Apollo projects of our time... At the California Institute of Technology, they're developing...

  13. 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.

  14. 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

  15. 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 ...

  16. 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

  17. Project Year Project Title

    E-Print Network [OSTI]

    Gray, Jeffrey J.

    Project Year 2011-2012 Project Title Using M-Health and GIS Technology in the Field to Improve-specialized, but practically useless skill. Solution One goal of this summer's Applied Geographic Information Systems in Public lessons about observational epidemiology. Technologies Used Geographic Info System (GIS), Blackboard

  18. 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.

  19. 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.

  20. Project Fact Sheet Project Update

    E-Print Network [OSTI]

    & Figures: Budget: £51,074,000 Funding Source: Capital Plan Construction Project Programme: Start on SiteProject Fact Sheet Project Update: Project Brief: The concept of the new scheme is to redevelop Gardens project http://www.imperial.ac.uk/princesgardens/ Construction Project Team: Project Facts

  1. Project Funding

    Broader source: Energy.gov [DOE]

    Federal energy projects require funding to generate results. Carefully matching available funding options with specific project needs can make the difference between a stalled, unfunded project and a successful project generating energy and cost savings.

  2. 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

  3. 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:

  4. 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

  5. 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

  6. 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

  7. 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

  8. Strategies for Spectral Profile Inversion using Artificial Neural Networks

    E-Print Network [OSTI]

    H. Socas-Navarro

    2004-10-23T23:59:59.000Z

    This paper explores three different strategies for the inversion of spectral lines (and their Stokes profiles) using artificial neural networks. It is shown that a straightforward approach in which the network is trained with synthetic spectra from a simplified model leads to considerable errors in the inversion of real observations. This problem can be overcome in at least two different ways that are studied here in detail. The first method makes use of an additional pre-processing auto-associative neural network to project the observed profile into the theoretical model subspace. The second method considers a suitable regularization of the neural network used for the inversion. These new techniques are shown to be robust and reliable when applied to the inversion of both synthetic and observed data, with errors typically below $\\sim$100 G.

  9. 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.

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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

  15. 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...

  16. 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

  17. 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

  18. 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

  19. Immunohistochemical evidence of a melanopsin cone in human retina Ouria Dkhissi-Benyahya1,2

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    photosensitive ganglion cells that project to the suprachiasmatic nucleus (SCN) which are involved in the photic opsins was studied by double-labelling immunocytochemistry and confocal analysis. Results: The present the ganglion cell layer with a few displaced ganglion or amacrine cells in the inner nuclear layer 5

  20. MINIMAL CASES OF THE STRUCTURE AND MOTION PROBLEM WITH MISSING DATA FOR ONE-DIMENSIONAL RETINAE

    E-Print Network [OSTI]

    Lunds Universitet

    are impor- tant components for factory automation. Such vehicles have traditionally been guided by wires@maths.lth.se Reflector Angle meter a b Fig. 1. a: A laser guided vehicle. b: A laser scanner or angle meter. ABSTRACT in several areas, such as within robotics, autonomous guided vehicles, projection of lines in ordinary vision

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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.

  18. 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.

  19. 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

  20. 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

  1. 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

  2. Project Title:

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

    Repair flowline 61-66-SX-3 DOE Code: Project Lead: Wes Riesland NEPA COMPLIANCE SURVEY 291 Project Information Date: 31 12010 Contractor Code: Project Overview In order to...

  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. Project Controls

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

    1997-03-28T23:59:59.000Z

    Project controls are systems used to plan, schedule, budget, and measure the performance of a project/program. The cost estimation package is one of the documents that is used to establish the baseline for project controls. This chapter gives a brief description of project controls and the role the cost estimation package plays.

  5. 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.

  6. 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.

  7. Determination of groundwater recharge in semiarid zones by artificial tritium tagging

    SciTech Connect (OSTI)

    Poli, D.C.R.; Enokihara, C.T.; Aoki, P.E.; e Silva, J.A.R.; Chandra, U.; e Silva, A.A.K. (Commisao Nacional de Energia Nuclear, Sao Paulo (Brazil))

    1992-01-01T23:59:59.000Z

    The movement of the moisture in an unsaturated zone can be monitored using both environmental and artificial tritium. Artificially tritiated water is used as a tracer in this study for determining groundwater recharge. Groundwater recharge is the influx of rain into the saturated zone and is essential for urban water supply, agriculture, and resource evaluation. The technique was used on a large scale in Rio Grande do Norte state in northeastern Brazil, covering an area of [approximately]1500 km[sup 2]. The region of the study has a semiarid climate, and most of the soil was very sandy, except one site that was pure clay. This study was part of a larger water resource evaluation project.

  8. 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.

  9. 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.

  10. Project Fact Sheet Project Update

    E-Print Network [OSTI]

    Project Fact Sheet Project Update: Project Brief: The works cover the refurbishment of floors 4, 5, with `wet' labs for molecular biology, materials characterisation, cell culture and flow studies, and `dry operating theatre. The Bionanotechnology Centre is one of the projects funded from the UK Government's £20

  11. Project Fact Sheet Project Brief

    E-Print Network [OSTI]

    .union.ic.ac.uk/marketing/building Construction Project Team: Project Facts & Figures: Budget: £1,400,000 Funding Source: Capital PlanProject Fact Sheet Project Brief: In the first phase of the Union Building re that it adapts to meet the needs of a changing student body. The re-development plans are grounded in a full

  12. Project Fact Sheet Project Brief

    E-Print Network [OSTI]

    Facts & Figures: Budget: £3,500,000 Funding Source: SRIF III Construction Project Programme: StartProject Fact Sheet Project Brief: This project refurbished half of the 5th and 7th floors of work includes: · Building fabric replacement and revised space planning · New mechanical and electrical

  13. 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....

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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:...

  3. 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...

  4. 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:...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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

  10. 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...

  11. 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:...

  12. 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...

  13. 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:...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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:...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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:...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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:...

  4. 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...

  5. 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...

  6. 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:...

  7. 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...

  8. 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:...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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:...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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:...

  16. 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...

  17. 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...

  18. 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:...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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 ...

  8. 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...

  9. 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...

  10. 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...

  11. 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:...

  12. 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

  13. 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.

  14. 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.

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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...

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. Magnesium Projects

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

    cyberinfrastructure projects and will be augmented by original research in Computer Science and Software Engineering towards the creation of large, distributed, autonomic and...

  2. Project Construction

    Broader source: Energy.gov [DOE]

    Integrating renewable energy into Federal new construction or major renovations requires effective structuring of the construction team and project schedule. This overview discusses key construction team considerations for renewable energy as well as timing and expectations for the construction phase. The project construction phase begins after a project is completely designed and the construction documents (100%) have been issued. Construction team skills and experience with renewable energy technologies are crucial during construction, as is how the integration of renewable energy affects the project construction schedule.

  3. 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...

  4. 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:...

  5. 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

  6. 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

  7. 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.

  8. 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...

  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 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.

  10. 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.

  11. 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...

  12. Project Manager

    Broader source: Energy.gov [DOE]

    A successful candidate in this position will serve as a project manager in the Fuel Cell Technologies Office in the DOE-EERE Office of Transportation responsible for a wide variety of highly...

  13. RENOTER Project

    Broader source: Energy.gov [DOE]

    Overview of French project on thermoelectric waste heat recovery for cars and trucks with focus on cheap, available, efficient, and sustainable TE materials, as well as efficient material integration and production process.

  14. 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

  15. 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, ...

  16. 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 ...

  17. 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...

  18. 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...

  19. 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 ...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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. "....

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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

  1. 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...

  2. 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...

  3. 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...

  4. 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

  5. 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.

  6. Cloudnet Project

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Hogan, Robin

    Cloudnet is a research project supported by the European Commission. This project aims to use data obtained quasi-continuously for the development and implementation of cloud remote sensing synergy algorithms. The use of active instruments (lidar and radar) results in detailed vertical profiles of important cloud parameters which cannot be derived from current satellite sensing techniques. A network of three already existing cloud remote sensing stations (CRS-stations) will be operated for a two year period, activities will be co-ordinated, data formats harmonised and analysis of the data performed to evaluate the representation of clouds in four major european weather forecast models.

  7. Spent Nuclear Fuel project, project management plan

    SciTech Connect (OSTI)

    Fuquay, B.J.

    1995-10-25T23:59:59.000Z

    The Hanford Spent Nuclear Fuel Project has been established to safely store spent nuclear fuel at the Hanford Site. This Project Management Plan sets forth the management basis for the Spent Nuclear Fuel Project. The plan applies to all fabrication and construction projects, operation of the Spent Nuclear Fuel Project facilities, and necessary engineering and management functions within the scope of the project

  8. 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

  9. 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

  10. ERIS Project 

    E-Print Network [OSTI]

    Hunter, Philip

    repositories. If these (generally) smaller institutions wished to continue to have access to these hosted repository spaces after the end of the project, it was proposed that these repository-lite services would be administered by the SDLC (the Scottish Digital...

  11. Application of artificial intelligence to reservoir characterization: An interdisciplinary approach. January 1, 1996--March 31, 1996

    SciTech Connect (OSTI)

    Kerr, D.R.; Thompson, L.G.; Shenoi, S.

    1996-05-01T23:59:59.000Z

    The basis of this research is to apply novel techniques from artificial Intelligence and Expert Systems in capturing, integrating and articulating key knowledge from geology, geostatistics, and petroleum engineering to develop accurate descriptions of petroleum reservoirs. The ultimate goal is to design and implement a single powerful expert system for use by small producers and independents to efficiently exploit reservoirs. The main challenge of the proposed research is to automate the generation of detailed reservoir descriptions honoring all the available ``software`` and ``hardware`` data that ranges from qualitative and semi-quantitative geological interpretations to numeric data obtained from cores, well tests, well logs and production statistics. In this sense, the proposed research project is truly multidisciplinary. It involves significant amount of information exchange between researchers in geology, geostatistics, and petroleum engineering. Computer science (and artificial intelligence) provides the means to effectively acquire, integrate and automate the key expertise in the various disciplines in a reservoir characterization expert system. Additional challenges are the verification and validation of the expert system, since much of the interpretation of the experts is based on extended experience in reservoir characterization. Accomplishments to date are discussed.

  12. 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

  13. 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.

  14. Project Fact Sheet Project Brief

    E-Print Network [OSTI]

    Name: Centre for Assisted Robotic Surgery Number: BESS1002b Project Champion: Professor Guang-Zong Yang of the refurbishment is to renew and expand the laboratory space for Robotic Assisted Surgery at the South Kensington Campus as par to the Hamlyn Centre for Robotic Surgery. The overall programme incorpo- rates both core

  15. Technical and analytical support to the ARPA Artificial Neural Network Technology Program

    SciTech Connect (OSTI)

    NONE

    1995-09-16T23:59:59.000Z

    Strategic Analysis (SA) has provided ongoing work for the Advanced Research Projects Agency (ARPA) Artificial Neural Network (ANN) technology program. This effort provides technical and analytical support to the ARPA ANN technology program in support of the following information areas of interest: (1) Alternative approaches for application of ANN technology, hardware approaches that utilize the inherent massive parallelism of ANN technology, and novel ANN theory and modeling analyses. (2) Promising military applications for ANN technology. (3) Measures to use in judging success of ANN technology research and development. (4) Alternative strategies for ARPA involvement in ANN technology R&D. These objectives were accomplished through the development of novel information management tools, strong SA knowledge base, and effective communication with contractors, agents, and other program participants. These goals have been realized. Through enhanced tracking and coordination of research, the ANN program is healthy and recharged for future technological breakthroughs.

  16. Boolean logic in artificial intelligence and Turing degrees of Boolean-valued sets

    SciTech Connect (OSTI)

    Cai, Maohua.

    1989-01-01T23:59:59.000Z

    Over the years a number of generalizations of recursion theory have been introduced and studied. In this dissertation the author presents yet another such generalization. Based on the concept of a weakly recursively presented Boolean algebra, he defines Boolean-valued sets, Boolean-valued recursive sets, and Boolean-valued recursively enumerable sets and discuss the basic relationships between a Boolean-valued set, its principal part, and its support. Then he generalizes many elementary concepts and results about recursive and recursively enumerable sets such as the s-m-n theorem, the recursion theorem, and the projection theorem, etc. to Boolean valued sets. By using finite and infinite injury arguments, he generalizes the Friedberg-Muchnik theorem, the theorem about nonrecursive low r.e. sets, the minimal pair theorem, and other results. Finally, he discusses the possible application of Boolean-valued logic in artificial intelligence, and gives an implementation of a parser for the four-valued Boolean logic.

  17. 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.

  18. 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.

  19. 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.

  20. 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...

  1. 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...

  2. 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

  3. PROJECT SUMMARY

    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 ChinaofSchaeferAprilOverviewEfficiencyofHSSPIAProperty Management PlanPROJECT SUMMARY 1

  4. Hallmark Project

    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 ChinaofSchaefer To: CongestionDevelopmentHEADQUARTERSOutreachApril 23, 2013Project

  5. Project Management

    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)IntegratedSpeedingTechnical News,Program DirectionProject ATHENA creates

  6. Project Overview

    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)IntegratedSpeedingTechnical News,Program DirectionProject ATHENAManagement

  7. Projects | ORNL

    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)IntegratedSpeedingTechnical News,Program DirectionProject ATHENAManagementIn ThisPages

  8. Project Gnome

    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's Possible forPortsmouth/Paducah47,193.70 Hg MercuryProject Final Report: HPC-Colony IIProject Gnome

  9. Project Title

    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's Possible forPortsmouth/Paducah47,193.70 Hg MercuryProject FinalFluids |Storage Research and

  10. NEPA COMPLIANCE SURVEY Project Information Project Title:

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

    Boxes Date: Nov. 11 , 2010 DOE Code: 6740.010.00000 Contractor Code: 8067-451 Project Lead: Anthony Bowler Project Overview 1. Brief project description include anything that...

  11. 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 ...

  12. 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

  13. Research, Monitoring and Evaluation and Artificial Production Project Review Draft decision document (May 4, 2011 version)

    E-Print Network [OSTI]

    document (May 4, 2011 version) 1 Bruce A. Measure Chair Montana Dick Wallace Vice-Chair Washington Rhonda decision document May 4, 2011 Introduction Pursuant to Section 4(h)(10)(D) of the Northwest Power Act, the Northwest Power and Conservation Council has been engaged in a review of research, monitoring and evaluation

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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

  5. 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...

  6. 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...

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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...

  12. 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

  13. 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

  14. 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

  15. 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

  16. artificial pinning centres: Topics by E-print Network

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

    Websites Summary: Research Type Cost Share Project Award End Date Award Start Date ARRA CFDA Originating Funding MechanismColumbia University SAMPLE PIN - Project Information...

  17. artificial pinning centers: Topics by E-print Network

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

    Websites Summary: Research Type Cost Share Project Award End Date Award Start Date ARRA CFDA Originating Funding MechanismColumbia University SAMPLE PIN - Project Information...

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. Stream classification using hierarchical artificial neural networks: A fluvial hazard management tool

    E-Print Network [OSTI]

    Vermont, University of

    Stream classification using hierarchical artificial neural networks: A fluvial hazard management-in-Chief Keywords: Stream classification Artificial neural networks Kohonen self-organizing maps Counterpropagation. In this research, we apply non-parametric, clus- tering and classification artificial neural networks to assimilate

  20. Artificial neural network discrimination of black-capped chickadee (Poecile atricapillus) call notes

    E-Print Network [OSTI]

    Dawson, Michael

    Artificial neural network discrimination of black-capped chickadee (Poecile atricapillus) call; revised 11 April 2006; accepted 12 May 2006 Artificial neural networks were trained to discriminate number s : 43.80Ka., 43.80.Lb, 43.80.Jz JAS Pages: 1111­1117 I. INTRODUCTION An artificial neural network

  1. 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. Conclusion: Artificial neural networks can detect CAD in myocardial bull's-eye scintigrams with such a high significant potential. Key Words: diagnosis; computer-assisted; artificial intelligence; neural networks

  2. Advances in ungauged streamflow prediction using artificial neural networks Lance E. Besaw a

    E-Print Network [OSTI]

    Vermont, University of

    Advances in ungauged streamflow prediction using artificial neural networks Lance E. Besaw-John Chang, Associate Editor Keywords: Ungauged streamflow prediction Artificial neural networks Time and test two artificial neural networks (ANNs) to forecast streamflow in unga- uged basins. The model

  3. SEQUENTIAL IMPORTANCE SAMPLING BASED ON A COMMITTEE OF ARTIFICIAL NEURAL NETWORKS FOR POSTERIOR HEALTH

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    SEQUENTIAL IMPORTANCE SAMPLING BASED ON A COMMITTEE OF ARTIFICIAL NEURAL NETWORKS FOR POSTERIOR) is used in this study to filter the output distribution from a committee of Artificial Neural Networks at discrete time steps. KEYWORDS : model identification, artificial neural network, committee, sequential

  4. Zhang, Wang, and Wei 1 An Artificial Neural Network Method for Length-based

    E-Print Network [OSTI]

    Wang, Yinhai

    Zhang, Wang, and Wei 1 An Artificial Neural Network Method for Length-based Vehicle Classification this problem, we develop an artificial neural network method to estimate classified vehicle volumes directly stations on I-5 over a long duration. The results show that the proposed artificial neural network model

  5. Review and comparison of methods to study the contribution of variables in artificial neural network models

    E-Print Network [OSTI]

    Lek, Sovan

    , Greece Abstract Convinced by the predictive quality of artificial neural network (ANN) models in ecology. # 2002 Published by Elsevier Science B.V. Keywords: Artificial neural networks; Backpropagation; NonReview and comparison of methods to study the contribution of variables in artificial neural

  6. Prediction of Protein Functional Domains from Sequences Using Artificial Neural Networks

    E-Print Network [OSTI]

    Szepesvari, Csaba

    Prediction of Protein Functional Domains from Sequences Using Artificial Neural Networks János Ltd., Budapest 1121, Hungary An artificial neural network (ANN) solution is described, are forwarded to feed-forward artificial neural networks with six input and six hidden units with sigmoidal

  7. A simplified approach to quantifying predictive and parametric uncertainty in artificial neural network hydrologic models

    E-Print Network [OSTI]

    Chaubey, Indrajeet

    considerable interest in developing methods for uncertainty analysis of artificial neural network (ANN) models and parametric uncertainty in artificial neural network hydrologic models, Water Resour. Res., 43, W10407, doi:10A simplified approach to quantifying predictive and parametric uncertainty in artificial neural

  8. Dynamic Pattern Recognition in Sport by Means of Artificial Neural Networks

    E-Print Network [OSTI]

    Perl, Jürgen

    Dynamic Pattern Recognition in Sport by Means of Artificial Neural Networks Jürgen Perl, Peter to store these data but to transform them into useful information. Artificial Neural Networks turn out the data. This is the point where Artificial Neural Networks can become extremely helpful: They are able

  9. Artificial neural networks in models of specialisation, guild evolution and sympatric speciation

    E-Print Network [OSTI]

    Getz, Wayne M.

    11 Artificial neural networks in models of specialisation, guild evolution and sympatric speciation 1/12/10 6:05:26pm page 236 Modelling Perception in Artificial Neural Networks, ed. C. R. Tosh and G artificial neural networks as models for the plant recognition mechanism in insects (Holmgren & Getz,

  10. Combining Q-Learning with Artificial Neural Networks in an Adaptive Light Seeking Robot

    E-Print Network [OSTI]

    Meeden, Lisa A.

    Combining Q-Learning with Artificial Neural Networks in an Adaptive Light Seeking Robot Steve Dini an artificial neural network as a function approximator and eliminate the need for an explicit table. 1 limitations of using tables as well as the viability of using artificial neural networks to approximate

  11. Batch-mode vs Online-mode Supervised Learning Motivations for Artificial Neural Networks

    E-Print Network [OSTI]

    Wehenkel, Louis

    Batch-mode vs Online-mode Supervised Learning Motivations for Artificial Neural Networks Linear ANN-mode vs Online-mode Supervised Learning Motivations for Artificial Neural Networks Linear ANN Models for Artificial Neural Networks Linear ANN Models Single neuron models Single layer models Nonlinear ANN Models

  12. Michel Verleysen Altran 18/11/2002 -1 Artificial Neural Networks

    E-Print Network [OSTI]

    Verleysen, Michel

    1 Michel Verleysen Altran 18/11/2002 - 1 Artificial Neural Networks: general overview and specific: Introduction pwhy "artificial neural networks" (ANN) ? pwhat are ANNs useful for? ? plearning ­ generalization Verleysen Altran 18/11/2002 - 3 Content p Part I: Introduction pwhy "artificial neural networks" (ANN

  13. A Methodological Approach For Reservoir Heterogeneity Characterization Using Artificial Neural Networks

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    years Artificial Neural Networks (ANN) have made a strong comeback to the scientific community a handful of papers suggesting the use of artificial neural networks in the petroleum industry . These1 thought. An implementation of artificial neural networks in characterization of reservoir heterogeneity

  14. A HARDWARE/SOFTWARE CO-DESIGN APPROACH FOR FACE RECOGNITION BY ARTIFICIAL NEURAL NETWORKS

    E-Print Network [OSTI]

    Areibi, Shawki M

    #12;A HARDWARE/SOFTWARE CO-DESIGN APPROACH FOR FACE RECOGNITION BY ARTIFICIAL NEURAL NETWORKS NETWORKS Xiaoguang Li University of Guelph, 2004 Advisor: Dr. Shawki M. Areibi Artificial Neural Networks Artificial Neural Networks on FPGAs. This work provided a very good beginning to my research. Special thanks

  15. Automatic classification of Sleep Stages on a EEG signal by Artificial Neural Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Automatic classification of Sleep Stages on a EEG signal by Artificial Neural Networks Nizar of modeling and design to improve the performances of our tool. Key-Words: - Artificial Neural Networks data analysis tools. Concerning this latter point, we have proposed that Artificial Neural Networks

  16. Testing of Safety-Critical Software Embedded in an Artificial Heart

    E-Print Network [OSTI]

    Testing of Safety-Critical Software Embedded in an Artificial Heart Sungdeok Cha1 , Sehun Jeong1 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 testing phase. We per- formed

  17. Experimental Evaluation of a Model for Oxygen Exchange in a Pulsating Intravascular Artificial Lung

    E-Print Network [OSTI]

    Federspiel, William J.

    Experimental Evaluation of a Model for Oxygen Exchange in a Pulsating Intravascular Artificial Lung an intravascular hollow fiber artificial lung that uses a pulsating balloon located within the fiber bundle in pulsating intravascular artificial lungs. In this study we evaluate the O2 exchange model with gas exchange

  18. Project Management Lessons Learned

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

    2008-08-05T23:59:59.000Z

    The guide supports DOE O 413.3A, Program and Project Management for the Acquisition of Capital Assets, and aids the federal project directors and integrated project teams in the execution of projects.

  19. Livingston Solar Canopy Project The Project

    E-Print Network [OSTI]

    Delgado, Mauricio

    ,000 high efficiency solar panels on canopy structures over two major surface parking areasLivingston Solar Canopy Project The Project: This project entails the installation of more than 40. In conjunction with the existing 1.4 megawatt solar energy facility on this campus, this project will generate

  20. Information Visualization Graduate Project (Group Project)

    E-Print Network [OSTI]

    Rusu, Adrian

    Information Visualization Fall 2011 Graduate Project (Group Project) (100 points total) Handed out:59PM Research Article due by online submission on Sunday, December 11, 2011, 11:59PM Project Demo due last week of classes The idea of the project is to take the knowledge and background that you

  1. Application of artificial intelligence to reservoir characterization: An interdisciplinary approach. Final report, August 31, 1997

    SciTech Connect (OSTI)

    Kerr, D.R.; Thompson, L.G.; Shenoi, S.

    1998-03-01T23:59:59.000Z

    The primary goal of the project is to develop a user-friendly computer program to integrate geological and engineering information using Artificial Intelligence (AI) methodology. The project is restricted to fluvially dominated deltaic environments. The static information used in constructing the reservoir description includes well core and log data. Using the well core and the log data, the program identifies the marker beds, and the type of sand facies, and in turn, develops correlations between wells. Using the correlations and sand facies, the program is able to generate multiple realizations of sand facies and petrophysical properties at interwell locations using geostatistical techniques. The generated petrophysical properties are used as input in the next step where the production data are honored. By adjusting the petrophysical properties, the match between the simulated and the observed production rates is obtained. Although all the components within the overall system are functioning, the integration of dynamic data may not be practical due to the single-phase flow limitations and the computationally intensive algorithms. The future work needs to concentrate on making the dynamic data integration computationally efficient.

  2. Hyperboloidal Slices and Artificial Cosmology for Numerical Relativity

    E-Print Network [OSTI]

    Charles W. Misner

    2006-03-11T23:59:59.000Z

    This preliminary report proposes integrating the Maxwell equations in Minkowski spacetime using coordinates where the spacelike surfaces are hyperboloids asymptotic to null cones at spatial infinity. The space coordinates are chosen so that Scri+ occurs at a finite coordinate and a smooth extension beyond Scri+ is obtained. The question addressed is whether a Cauchy evolution numerical integration program can be easily modified to compute this evolution. In the spirit of the von Neumann and Richtmyer artificial viscosity which thickens a shock by many orders of magnitude to facilitate numerical simulation, I propose artificial cosmology to thicken null infinity Scri+ to approximate it by a de Sitter cosmological horizon where, in conformally compactified presentation, it provides a shell of purely outgoing null cones where asymptotic waves can be read off as data on a spacelike pure outflow outer boundary. This should be simpler than finding Scri+ as an isolated null boundary or imposing outgoing wave conditions at a timelike boundary at finite radius.

  3. Design of a Lambda configuration in artificial coherent nanostructures

    E-Print Network [OSTI]

    P. G. Di Stefano; E. Paladino; A. D'Arrigo; B. Spagnolo; G. Falci

    2015-02-20T23:59:59.000Z

    The implementation of a three-level Lambda System in artificial atoms would allow to perform advanced control tasks typical of quantum optics in the solid state realm, with photons in the $\\mathrm{\\mu m}$/mm range. However hardware constraints put an obstacle since protection from decoherence is often conflicting with efficient coupling to external fields. We address the problem of performing conventional STImulated Raman Adiabatic Passage (STIRAP) in the presence of low-frequency noise. We propose two strategies to defeat decoherence, based on "optimal symmetry breaking" and dynamical decoupling. We suggest how to apply to the different implementations of superconducting artificial atoms, stressing the key role of non-Markovianity.

  4. An artificial neural network controller for intelligent transportation systems applications

    SciTech Connect (OSTI)

    Vitela, J.E.; Hanebutte, U.R.; Reifman, J. [Argonne National Lab., IL (United States). Reactor Analysis Div.

    1996-04-01T23:59:59.000Z

    An Autonomous Intelligent Cruise Control (AICC) has been designed using a feedforward artificial neural network, as an example for utilizing artificial neural networks for nonlinear control problems arising in intelligent transportation systems applications. The AICC is based on a simple nonlinear model of the vehicle dynamics. A Neural Network Controller (NNC) code developed at Argonne National Laboratory to control discrete dynamical systems was used for this purpose. In order to test the NNC, an AICC-simulator containing graphical displays was developed for a system of two vehicles driving in a single lane. Two simulation cases are shown, one involving a lead vehicle with constant velocity and the other a lead vehicle with varying acceleration. More realistic vehicle dynamic models will be considered in future work.

  5. Chaos and Nonlinear Dynamics in a Quantum Artificial Economy

    E-Print Network [OSTI]

    Carlos Pedro Gonçalves

    2012-02-29T23:59:59.000Z

    Chaos and nonlinear economic dynamics are addressed for a quantum coupled map lattice model of an artificial economy, with quantized supply and demand equilibrium conditions. The measure theoretic properties and the patterns that emerge in both the economic business volume dynamics' diagrams as well as in the quantum mean field averages are addressed and conclusions are drawn in regards to the application of quantum chaos theory to address signatures of chaotic dynamics in relevant discrete economic state variables.

  6. Intentionality, Artificial Intelligence and the Causal Powers of the Brain

    E-Print Network [OSTI]

    Whitmer, Jeffrey M.

    Intentionality, Artificial Intelligence and the Causal Powers of the Brain Jeffrey M. Whitmer Northern Illinois University It seems to be a common belief that in the future, if not in the present, digital computers are going to be capable... of cognitive states, experiences, and con­ sciousness equal in every respect to that which exists in human beings. 1 Not everyone, however, is so optimistic. One such skeptic is John Searle and his "Minds, Brains, and Programs" 2 represents a direct con...

  7. Scientist's Quest For Artificial Muscle Aided by PPPL | Princeton Plasma

    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's PossibleRadiationImplementingnpitcheResearchPhysics Lab Scientist's Quest For Artificial

  8. Iskuulpa Watershed ProjectIskuulpa Watershed Project BPA Project # 199506001BPA Project # 199506001

    E-Print Network [OSTI]

    Hydroelectric Power Project impacts Improve natural salmonid habitat and production #12;Project ActivitiesProject Activities Land purchaseLand purchase HEP evaluationHEP evaluation Rest from livestockRest from livestock;Project ActivitiesProject Activities Land purchaseLand purchase HEP evaluationHEP evaluation Rest from

  9. 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.

  10. Project Name Project Number Tagging Type

    E-Print Network [OSTI]

    Project Name Project Number Primary Tagging Type Secondary Tagging Type Fish Species Tagging/ Secondary Legal Driver (BiOp, MOA, Accord, etc.) Tagging Purpose Funded Entity Tagging Location Retrieval CWT Recovery Project 2010-036-00 CWT PIT Chinook, coho retrieval, analysis, address PSMFC sampling

  11. Projects | Department of Energy

    Office of Environmental Management (EM)

    Projects Projects All 1703 1705 ATVM Current Portfolio 32.4 B in Loans 55 K Jobs Current Portfolio Loans 32.4 B Jobs 55,000 Loan Program Office Projects 1703 1705 ATVM...

  12. CRSP Power Projects

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

    expenses of the project each year, and receive all of the energy it produces. Salt Lake City AreaIntegrated Projects: Power from the Colorado River Storage Project plants was...

  13. Project Selection - Record Keeping

    E-Print Network [OSTI]

    Howard, Jeff W.

    2005-05-10T23:59:59.000Z

    4-H members have many project areas to choose from, depending on where they live. Members should consult with their parents and 4-H leaders when choosing a project. This publication outlines project considerations....

  14. Super Projects (Arkansas)

    Broader source: Energy.gov [DOE]

    A 2004 amendment to the state constitution authorizes the state to attract super projects by issuing bonds to fund a project’s infrastructure, limited to 5% of the net general revenues during the...

  15. Planning and Projects

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

    Rates Planning Ten-Year Capital Program Projects Lovell-Yellowtail Transmission Line Rebuild project Studies WACM Wind production summary overview (Oct. 2006)...

  16. Project BETA Cover Page

    E-Print Network [OSTI]

    Cover Page, Project BETA

    2012-01-01T23:59:59.000Z

    and Distribution of the Project BETA articles were funded inproduct is discussed in the BETA articles. Western JournalProject BETA: Best practices in Evaluation and Treatment of

  17. Project Finance and Investments

    Broader source: Energy.gov [DOE]

    Plenary III: Project Finance and Investment Project Finance and Investments Chris Cassidy, National Business Renewable Energy Advisor, U.S. Department of Agriculture

  18. Contract/Project Management

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

    3 rd Quarter Overall Contract and Project Management Performance Metrics and Targets ContractProject Management Performance Metrics FY 2009 Target FY 2009 Actual Comment 1....

  19. Operations Cost Allocation Project

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

    Operations Consolidation Project Operations Consolidation Project (OCP) Cost Allocation Presentation - September 20, 2011 OCP Cost Allocation Customer Presentation List of Acronyms...

  20. Clean Coal Projects (Virginia)

    Broader source: Energy.gov [DOE]

    This legislation directs the Virginia Air Pollution Control Board to facilitate the construction and implementation of clean coal projects by expediting the permitting process for such projects.

  1. Falls Creek Hydroelectric Project

    SciTech Connect (OSTI)

    Gustavus Electric Company; Richard Levitt; DOE Project Officer - Keith Bennett

    2007-06-12T23:59:59.000Z

    This project was for planning and construction of a 700kW hydropower project on the Fall River near Gustavus, Alaska.

  2. Manhattan Project | Department of Energy

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

    Manhattan Project Manhattan Project Manhattan Project New Manhattan Project Interactive Website The Department of Energy traces its origins to World War II and the Manhattan...

  3. artificial neural network-based: Topics by E-print Network

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

    be separated from back- ground by thresholding In this paper, a computer vision based system is introduced to automatically sort apple fruits. An artificial neural net- work...

  4. artificial tongue-placed tactile: Topics by E-print Network

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

    was to investigate whether the central nervous system was able to integrate an artificial biofeedback delivered through electrotactile stimulation of the tongue to improve...

  5. Nonequilibrium Spintronic Transport through an Artificial Kondo Impurity: Conductance, Magnetoresistance, and Shot Noise

    E-Print Network [OSTI]

    Sánchez, David

    Nonequilibrium Spintronic Transport through an Artificial Kondo Impurity: Conductance processes lift the level degeneracy, yielding "0 R, where R is a phenomenological spin flip scatter- ing

  6. artificial ab-mountains extraction: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 439 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  7. artificial somatic-central nervous: Topics by E-print Network

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

    Global Optimization (Stochastic Approaches ). Carlos Fernandes 2005-03-02 491 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  8. artificial caries-like 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 2005-03-02 438 Dynamics of artificial spin ice: a continuous honeycomb network MIT - DSpace Summary: We model the...

  9. artificial light-harvesting self-assemble: Topics by E-print...

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

    world have been striving to develop artificial light-harvesting antenna model systems for energy and other light-driven biochemical applications. Among the various approaches...

  10. artificial light-harvesting complex: Topics by E-print Network

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

    world have been striving to develop artificial light-harvesting antenna model systems for energy and other light-driven biochemical applications. Among the various approaches...

  11. 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

    R. Satake, Prediction of energy demands using neural networkof Building Heating Energy Demand Using Artificial Neuralknow energy flows and energy demand of the buildings for the

  12. E-Print Network 3.0 - artificial resting sites Sample Search...

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

    .0 is used for Artificial Life's ... Source: Massachusetts Institute of Technology (MIT), Media Laboratory, Software Agents Group Collection: Computer Technologies and Information...

  13. Issue 4 Michaelmas 2005 www.bluesci.org Artificial Intelligence Obesity

    E-Print Network [OSTI]

    Cambridge, University of

    Issue 4 Michaelmas 2005 www.bluesci.org · Artificial Intelligence · Obesity · · Women In Science.............................................................................. Fat Of The Land Helen Stimpson weighs up the evidence for the `obesity epidemic

  14. Generation of genuine $?$-type four-particle entangled state of superconducting artificial atoms with broken symmetry

    E-Print Network [OSTI]

    Chun-Ling Leng; Qi Guo; Xin Ji; Shou Zhang

    2014-12-11T23:59:59.000Z

    We propose a scheme for generating a genuine $\\chi$-type four-particle entangled state of superconducting artificial atoms with broken symmetry by using one-dimensional transmission line resonator as a data bus. The $\\Delta$-type three-level artificial atom we use in the scheme is different from natural atom and has cyclic transitions. After suitable interaction time and simple operations, the desired entangled state can be obtained. Since artificial atomic excited states and photonic states are adiabatically eliminated, our scheme is robust against the spontaneous emissions of artificial atoms and the decays of transmission line resonator.

  15. artificial neural networks-particle: 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 69 Dynamic Pattern Recognition in Sport by Means of Artificial Neural Networks Computer Technologies...

  16. Water oxidation reaction in natural and artificial photosynthetic systems

    SciTech Connect (OSTI)

    Yano, Junko; Yachandra, Vittal [Physical Biosciences Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd., Berkeley, CA 94720 (United States)

    2013-12-10T23:59:59.000Z

    Understanding the structure and mechanism of water oxidation catalysts is an essential component for developing artificial photosynthetic devices. In the natural water oxidation catalyst, the geometric and electronic structure of its inorganic core, the Mn{sub 4}CaO{sub 5} cluster, has been studied by spectroscopic and diffraction measurements. In inorganic systems, metal oxides seem to be good candidates for water oxidation catalysts. Understanding the reaction mechanism in both natural and oxide-based catalysts will helpin further developing efficient and robust water oxidation catalysts.

  17. Nonlinear Plasma Effects in Natural and Artificial Aurora

    SciTech Connect (OSTI)

    Mishin, E. V. [Space Vehicles Directorate, Air Force Research Laboratory, Bedford, MA 01731 (United States)

    2011-01-04T23:59:59.000Z

    This report describes common features of natural ('Enhanced') aurora and 'artificial aurora'(AA) created by electron beams injected from sounding rockets. These features cannot be explained solely by col-lisional degradation of energetic electrons, thereby pointing to collisionless plasma effects. The fundamental role in electron beam-ionosphere interactions belongs to Langmuir turbulence. Its development in the (weakly-ionized) ionosphere is significantly affected by electron-neutral collisions, so that the heating and acceleration of plasma electrons proceed more efficiently than in collisionless plasmas. As a result, a narrow layer of enhanced auroral glow/ionization is formed above the standard collisional peak.

  18. Cyclotron dynamics of interacting bosons in artificial magnetic fields

    E-Print Network [OSTI]

    Xiaopeng Li; S. Das Sarma

    2014-06-24T23:59:59.000Z

    We study theoretically quantum dynamics of interacting bosons in artificial magnetic fields as engineered in recent ultracold atomic experiments, where quantum cyclotron orbital motion has been observed. With exact numerical simulations and perturbative analyses, we find that interactions induce damping in the cyclotron motion. The damping time is found to be dependent on interaction and tunneling strengths monotonically, while its dependence on magnetic flux is non-monotonic. Sufficiently strong interactions would render bosons dynamically localized inhibiting the cyclotron motion. The damping predicted by us can be construed as an interaction-induced quantum decoherence of the cyclotron motion.

  19. Nanoscale topographical replication of graphene architecture by artificial DNA nanostructures

    SciTech Connect (OSTI)

    Moon, Y.; Seo, S.; Park, J.; Park, T.; Ahn, J. R., E-mail: jrahn@skku.edu [Department of Physics, Sungkyunkwan University, Suwon 440-746 (Korea, Republic of); Shin, J.; Dugasani, S. R. [Sungkyunkwan Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon 440-746 (Korea, Republic of); Woo, S. H. [College of Pharmacy, Chungnam National University, Daejeon 305-764 (Korea, Republic of); Park, S. H., E-mail: sunghapark@skku.edu [Department of Physics, Sungkyunkwan University, Suwon 440-746 (Korea, Republic of); Sungkyunkwan Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon 440-746 (Korea, Republic of)

    2014-06-09T23:59:59.000Z

    Despite many studies on how geometry can be used to control the electronic properties of graphene, certain limitations to fabrication of designed graphene nanostructures exist. Here, we demonstrate controlled topographical replication of graphene by artificial deoxyribonucleic acid (DNA) nanostructures. Owing to the high degree of geometrical freedom of DNA nanostructures, we controlled the nanoscale topography of graphene. The topography of graphene replicated from DNA nanostructures showed enhanced thermal stability and revealed an interesting negative temperature coefficient of sheet resistivity when underlying DNA nanostructures were denatured at high temperatures.

  20. An artificial neural network application on nuclear charge radii

    E-Print Network [OSTI]

    Akkoyun, S; Kara, S O; Sinan, A

    2013-01-01T23:59:59.000Z

    The artificial neural networks (ANNs) have emerged with successful applications in nuclear physics as well as in many fields of science in recent years. In this paper, by using (ANNs), we have constructed a formula for the nuclear charge radii. Statistical modeling of nuclear charge radii by using ANNs has been seen as to be successful. Also, the charge radii, binding energies and two-neutron separation energies of Sn isotopes have been calculated by implementing of the new formula in Hartree-Fock-Bogoliubov (HFB) calculations. The results of the study shows that the new formula is useful for describing nuclear charge radii.