National Library of Energy BETA

Sample records for doe artificial retina

  1. Artificial Retina Project: Electromagnetic and Thermal Effects

    SciTech Connect (OSTI)

    Lazzi, Gianluca

    2014-08-29

    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.

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

    E-Print Network [OSTI]

    Stephenson, Albert David

    1999-01-01

    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...

  3. 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 Intelligence, at least as AI appears in the cinema. The cinematic sort of AI is the key opinion former of AI

  4. Infrared retina

    DOE Patents [OSTI]

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

    2011-12-06

    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.

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

    ScienceCinema (OSTI)

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

    2012-03-14

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

  6. New Artificial Cells Mimic Nature's Tiny Reactors | U.S. DOE...

    Office of Science (SC) Website

    microscope image shows artificial bioreactors composed of sugar-based dextran polymer solution (blue) encapsulated within a shell of lipid vesicles (red). On the right:...

  7. Studying the Retina and Other Neurosystems A.A. Grillo Studying the Retina andStudying the Retina and

    E-Print Network [OSTI]

    Deutsch, Josh

    technologies to conduct such studies is often an important part of Experimental Particle Physics. (See previous and Super Symmetry #12;7-Nov-2006 6 Studying the Retina and Other Neurosystems A.A. Grillo SCIPP-UCSC Some of the ChallengesSome of the Challenges · Each interaction of the colliding beams of protons (occurring 40 million

  8. Forehead Retina System Hiroyuki Kajimoto

    E-Print Network [OSTI]

    Tachi, Susumu

    is lightweight, cheap, scalable, and con- sumes much less energy. At the same time, it does not generate sound proposals placed vibration motors on the back. Although a waistcoat with the motors is definitely "wearable). In one case, the luminance information is used for edge extraction. In other case, color key is used

  9. Information Processing in the Primate Retina

    E-Print Network [OSTI]

    Chichilnisky, E.J.

    Information Processing in the Primate Retina: Circuitry and Coding G.D. Field and E.J. Chichilnisky, neural coding, synchrony, retinal ganglion cells Abstract The function of any neural circuit is governed on retinal function has substantially advanced understanding in both areas. First, visual information

  10. 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

  11. Artificial Intelligence 

    E-Print Network [OSTI]

    Appleton, D. S.

    1985-01-01

    This paper is a general overview of the field of artificial Intelligence and of some of the application issues within that field. Its first objective is to try and establish a viable definition for what artificial intelligence is, and to make a...

  12. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News Publications TraditionalWithAntiferromagneticInexpensive 2- toArthur J.Artificial

  13. Layer-Specific Manganese-Enhanced MRI of the Retina in Light and Dark Adaptation

    E-Print Network [OSTI]

    Duong, Timothy Q.

    Retina Layer-Specific Manganese-Enhanced MRI of the Retina in Light and Dark Adaptation Bryan H. De retina during light versus dark adaptation. METHODS. Functional MEMRI at 20 3 20 3 700 lm was used to study light and dark adaptation in the same animals (N ¼ 10) in which one eye was covered and the fellow

  14. Joint Center for Artificial Photosynthesis

    ScienceCinema (OSTI)

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

    2013-12-19

    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.

  15. INTRODUCTION The retina evolved to report spatiotemporal and chromatic

    E-Print Network [OSTI]

    Marc, Robert E.

    INTRODUCTION The retina evolved to report spatiotemporal and chromatic patterns of photons imaged layer (OPL). BCs, ACs, AxCs, and GCs connect in the inner plexiform layer (IPL). The basic vertical and many BC ~ AC ~ target cell transfers in the IPL. AC signals are largely encoded by vesicular g

  16. 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...

  17. Other: The Dept. of Energy Artificial Retina project | ScienceCinema

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report:Speeding access toSmall Reactor for Deep Space Exploration Citation

  18. Artificial Intelligence Daniel Polani

    E-Print Network [OSTI]

    Polani, Daniel

    Artificial Intelligence Daniel Polani Artificial Intelligence ­ p.1/26 Is it AI? 1. text editor 2 12. Turing test contenders Artificial Intellige The Turing Test: is partner human or not? See: e.g. [Saygin et al., 2000] Artificial Intelligence ­ p.3/26 The Turing Test II

  19. Artificial Intelligence and Robotics

    E-Print Network [OSTI]

    Brady, Michael

    1984-02-01

    Since Robotics is the field concerned with the connection of perception to action, Artificial Intelligence must have a central role in Robotics if the connection is to be intelligent. Artificial Intelligence addresses ...

  20. The Evolutionary Emergence Artificial Intelligence

    E-Print Network [OSTI]

    Fernandez, Thomas

    The Evolutionary Emergence route to Artificial Intelligence Alastair Channon Degree: MSc with a brief discussion. Keywords: Artificial Intelligence, Emergence, Genetic Algorithms, Artificial Life: Inman Harvey Submitted: 2 September 1996 (Minor revisions October 1996) Abstract The artificial

  1. Encyclopedia of Artificial Intelligence

    E-Print Network [OSTI]

    Liang, Faming

    Encyclopedia of Artificial Intelligence Juan Ramón Rabuñal Dopico University of A Coruña, Spain of artificial intelligence / Juan Ramon Rabunal Dopico, Julian Dorado de la Calle, and Alejandro Pazos Sierra) -- ISBN 978-1-59904-850-5 (ebook) 1. Artificial intelligence--Encyclopedias. I. Rabunal, Juan Ramon, 1973

  2. Human Artificial versus Natural Conceptualization of Spacetime Units Bernd Binder

    E-Print Network [OSTI]

    Binder, Bernd

    to a system of units. Additionally, the definition and measurement of the Newton constant does not involveHuman Artificial versus Natural Conceptualization of Spacetime Units Bernd Binder binder@quanics.com (Dated: 30.12.2003, www.quanics.com) The human international system of units (SI) is an artificial

  3. Human Artificial versus Natural Conceptualization of Spacetime Units Bernd Binder

    E-Print Network [OSTI]

    Binder, Bernd

    of units. Additionally, the definition and measurement of the Newton constant does not involve the lightHuman Artificial versus Natural Conceptualization of Spacetime Units Bernd Binder binder@quanics.com (Dated: 30.12.2003, www.quanics.com) The human international system of units (SI) is an artificial

  4. Patterned electrical stimulation of primate retina for the development of retinal prostheses

    E-Print Network [OSTI]

    Jepson, Lauren Hruby

    2012-01-01

    electrode device for artificial vision in rabbits. Journalhigh resolution artificial vision to the blind. However, theof mediating advanced artificial vision. We probed the

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

    E-Print Network [OSTI]

    Soponsakulkaew, Nitsupon

    2010-10-12

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

  6. Industrial Applications of Artificial Intelligence

    E-Print Network [OSTI]

    Fox, Mark S.

    Industrial Applications of Artificial Intelligence 301 Mark S. Fox Intelligent Systems Laboratory and future applicationsof Artificial Intelligence (AI) and Knowledge-Based systems to manufactur- ing is taking a systemic view of manufacturing. Keywords: Artificial Intelligence and Manufacturing, Knowl- edge

  7. Constructive Artificial Intelligence Information Theory

    E-Print Network [OSTI]

    Polani, Daniel

    Constructive Artificial Intelligence Information Theory Daniel Polani School of Computer Science referenced. Constructive Artificial Intelligence #12;Coin Weighing Problem (after Denker 2004) Problem Given (minimax principle) Constructive Artificial Intelligence #12;Considerations Note in a measurement, left

  8. Artificial Insemination in Swine 

    E-Print Network [OSTI]

    Sterle, Jodi

    1999-09-03

    Artificial insemination in swine works only if used and managed properly. This publication discusses the swine estrous cycle and how to detect estrus. It also provides step-by-step instructions for inseminating the female....

  9. Exercise in artificial gravity

    E-Print Network [OSTI]

    Edmonds, Jessica Leigh

    2005-01-01

    Artificial gravity provided by short radius centrifugation is considered a promising countermeasure to the deleterious physiological effects of microgravity during long-duration space flight. We investigated the feasibility ...

  10. Artificial Intelligence Decision and Information

    E-Print Network [OSTI]

    Polani, Daniel

    Artificial Intelligence Decision and Information Daniel Polani Artificial Intelligence ­ p.1/26 Decisions: The Fundamental Task Motivation: everything in Artificial Intelligence is basical about taking Intellige Decision: What Door to Open? Artificial Intelligence ­ p.3/26 Bottom Line Clear: decision about

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

    SciTech Connect (OSTI)

    Saffer, Shelley I.

    2014-12-01

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

  12. Regulatory Dynamics of Natural and Artificial Photosynthesis

    E-Print Network [OSTI]

    Zaks, Julia

    2012-01-01

    of Natural and Artificial Photosynthesis by Julia Zaks Aof Natural and Artificial Photosynthesis Copyright 2012 byof Natural and Artificial Photosynthesis by Julia Zaks

  13. Robert E. Marc: The Structure of Vertebrate Retinas In: J Toyoda (ed.) The Retinal Basis of Vision

    E-Print Network [OSTI]

    Marc, Robert E.

    Robert E. Marc: The Structure of Vertebrate Retinas In: J Toyoda (ed.) The Retinal Basis of Vision Elsevier, Amsterdam 1998 The Structure of Vertebrate Retinas Robert E. Marc John Moran Eye Center, retinal neurons, neuronal patterning, neuronal stratification Correspondence: Robert E. Marc John Moran

  14. Int. Conf. Neural Inf. Proc., ICONIP '96, Hongkong, Sept. 1996 Concerning the development of retina implants with neural nets *

    E-Print Network [OSTI]

    Behnke, Sven

    implants for blind humans suffering from various retinal degenerative diseases to regain a moderate amount (RE) outside the eye has to replace the information processing of the retina. A retina stimulator (RS), implanted adjacent to the retinal ganglion cell layer at the retinal `output', has to contact a sufficient

  15. ENTRY ARTIFICIAL INTELLIGENCE [ENTRY ARTIFICIAL INTELLIGENCE] Authors: Oliver Knill: March 2000 Literature: Peter Norvig,

    E-Print Network [OSTI]

    Knill, Oliver

    ENTRY ARTIFICIAL INTELLIGENCE [ENTRY ARTIFICIAL INTELLIGENCE] Authors: Oliver Knill: March 2000 Literature: Peter Norvig, Paradigns of Artificial Intelligence Programming Daniel Juravsky and James Martin interface to a neural net simulator. artificial intelligence [artificial intelligence] (AI) is a field

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

    E-Print Network [OSTI]

    Qu, Rong

    Introduction to Artificial Intelligence Objectives · Discuss what is meant by Artificial important AI tests and terms #12;Introduction to Artificial Intelligence Sections · What is Artificial to Artificial Intelligence Question 1 Can a Machine Ever Be Intelligent ? (survey) #12;Introduction

  17. 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

  18. Artificial Intelligence Intelligent Agents

    E-Print Network [OSTI]

    Voris, Jonathan

    CS W4701 Artificial Intelligence Fall 2013 Chapter 2: Intelligent Agents Jonathan Voris (based, Environment, Actuators, Sensors) · Environment types · Agent types #12;Agents · An agent is anything that can be viewed as perceiving its environment through sensors and acting upon that environment through actuators

  19. Universal Artificial Intelligence Marcus Hutter

    E-Print Network [OSTI]

    Hutter, Marcus

    Universal Artificial Intelligence Marcus Hutter Canberra, ACT, 0200, Australia http://www.hutter1.net/ #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 this talk I present

  20. Foundations of Artificial Intelligence Introduction

    E-Print Network [OSTI]

    Qu, Rong

    Foundations of Artificial Intelligence Introduction to the Course Module G64FAI #12;General in Artificial Intelligence (AI) · Provide an understanding of the theory of a range of those techniques · Introduce the students to a number of Artificial Intelligence applications · Show how these systems can

  1. appropriately expressed the distinctive molec-ular markers of both the neural retina and the

    E-Print Network [OSTI]

    Levermann, Anders

    gravity wave -- a tsunami. MacAyeal et al. provide a theoretical analysis of the potential of iceberg, retinal progenitor cells -- the multi- potential cells of the neural retina -- divided and differentiated rules and internal forces within the epithelium. However, Eiraku and colleagues' power- ful in vitro

  2. Cellular Patterns in the Inner Retina of Adult Zebrafish: Quantitative Analyses

    E-Print Network [OSTI]

    Carney, Laurel H.

    Cellular Patterns in the Inner Retina of Adult Zebrafish: Quantitative Analyses and a Computational 13244 ABSTRACT The mechanisms that control cellular pattern formation in the growing vertebrate central nervous system are poorly understood. In an effort to reveal mechanistic rules of cellular pattern

  3. 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

  4. 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

  5. Artificial General Intelligence and the Future of the Human Race

    E-Print Network [OSTI]

    Pavlacka, Bryon

    2012-01-01

    Institute for Artificial Intelligence [SIAI], 2001, para.robot architecture. Artificial general intelligence, 2008:machines. Artificial general intelligence, 2008: Proceedings

  6. Artificial Intelligence in BiomedicalArtificial Intelligence in Biomedical InformaticsInformatics

    E-Print Network [OSTI]

    Reed, Nancy E.

    ICS 313 1 Artificial Intelligence in BiomedicalArtificial Intelligence in Biomedical Informatics Systems Outline and Objectives Describe basic concepts in artificial intelligence Understand is Artificial Intelligence (AI)? Goals of AI systems fall into four categories: Thinking humanly Thinking

  7. Discoveryourself.Startwiththeworld. ARTIFICIAL INTELLIGENCE

    E-Print Network [OSTI]

    Davis, Jesse

    1 Discoveryourself.Startwiththeworld. New option B ig D ata A nalytics #12;32 ARTIFICIAL, through natural language as well as through vision, sensors and movement. A robot that can represent its that we tend to consider typical of intelligent living beings. WHY STUDY ARTIFICIAL INTELLIGENCE

  8. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL and Applications Gideon P. Stein Amnon Shashua Artificial Intelligence Laboratory Institute of Computer Science MIT of Technology, 1995 This report describes research done at the Artificial Intelligence Laboratory

  9. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL Sciences Massachusetts Institute of Technology Cambridge, MA 02139 y Artificial Intelligence Laboratory Institute of Technology, 1995. This report describes research done partly at the Artificial Intelligence

  10. The 2008 Artificial Intelligence Competition Valliappa Lakshmanan

    E-Print Network [OSTI]

    Lakshmanan, Valliappa

    The 2008 Artificial Intelligence Competition Valliappa Lakshmanan National Severe Storms Laboratory Pennsylvania State University Abstract The Artificial Intelligence Committee of the AMS conducted. The ranking was carried out using the True Skill Statistic. Introduction The Artificial Intelligence Comittee

  11. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL and Computa­ tional Learning, and the Artificial Intelligence Laboratory of the Massachusetts Institute for the laboratory's artificial intelligence research is provided in part by the Advanced Research Projects Agency

  12. Transsaccadic identification of highly similar artificial shapes

    E-Print Network [OSTI]

    Crawford, Doug

    ., & Verfaillie, K. (2009). Transsaccadic identification of highly similar artificial shapes. Journal of Vision, 9Transsaccadic identification of highly similar artificial shapes Laboratory of Experimental on postsaccadic perception do indeed occur. We presented subjects with highly similar artificial shapes, preceded

  13. Ecological Consequences of Artificial Night Lighting

    E-Print Network [OSTI]

    Piselli, Kathy

    2006-01-01

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

  14. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL and Cognitive Sciences and the Artificial Intelligence Laboratory at the Massachusetts Institute of Technology

  15. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL research done at the Center for Biological & Computational Learning and the Artificial Intelligence

  16. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL and the Artificial Intelligence Laboratory of the Massachusetts Institute of Technology. This research was sponsored

  17. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL and Computational Learning in the Department of Brain and Cognitive Sciences and at the Artificial Intelligence

  18. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL for Biological and Computational Learning and the Artificial Intelligence Laboratory of the Massachusetts

  19. New Progress in Artificial Intelligence

    E-Print Network [OSTI]

    Winston, Patrick H.

    1974-09-01

    This report concentrates on progress during the last two years at the M.I.T. Artificial Intelligence Laboratory. Topics covered include the representation of knowledge, understanding English, learning and debugging, ...

  20. Private development of artificial reefs 

    E-Print Network [OSTI]

    Burns, Arthur Allen

    1978-01-01

    PRIVATE DEVFLOPMENT OF ARTIFICIAL REEFS A Thesis ARTHUR ALLEN BURNS, JR. Submitted to the Graduate College of Texas ARM University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE December 1978 Major Subject...: Management PRIVATE DEVELOPMENT OF ARTIFICIAL REEFS A Thesis by ARTHUR ALLEN BURNS, JR. Approved as to style and content by: irman o t e Committee { ead o the Depa tment ~Member Memb e- December 1978 12409Ei'7 ABSTRACT Private Development...

  1. Training artificial neural networks using APPM

    E-Print Network [OSTI]

    Sanyal, Sugata

    - timization algorithm that simulate the plant growing process. It designs two artificial photosynthesis

  2. Artificial Intelligence 47 (1991) 31-56 31 Logic and artificial intelligence

    E-Print Network [OSTI]

    Pratt, Vaughan

    1991-01-01

    Artificial Intelligence 47 (1991) 31-56 31 Elsevier Logic and artificial intelligence Nils J Abstract Nilsson, N.J., Logic and artificial intelligence, Artificial Intelligence 47 (1990) 31-56. The theoretical foundations of the logical approach to artificial intelligence are presented. Logical languages

  3. Response [to Whitmer's "Intentionality, Artificial Intelligence and the Causal Powers of the Brain"

    E-Print Network [OSTI]

    Eudaly, Thomas

    is that if something artificial functions in the electro-chemical way that brains do, then it has intentional states. Now, Whitmer does state the conclusion aright where he says that "it seems conceivable that an entity could exist whose component mental parts..., 1977). 2J. Whitmer, "Intentionality, Artificial Intelli­ gence and the Causal Powers of the Brain," p. 204 above. 'Ibid. *The Behavioral and Brain Sciences, 3 (1980), p. 419. 213 ...

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

    E-Print Network [OSTI]

    Modestino, Miguel Antonio

    2013-01-01

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

  5. A Technical and Operational Perspective on the DOE Energy Innovation...

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

    on the DOE Energy Innovation Hub in Fuels from Sunlight, the Joint Center for Artificial Photosynthesis Wednesday, June 10, 2015 - 3:00pm SLAC, Redtail Hawk Conference Room 108A...

  6. Artificial Neural Network for Optimized Power System Management

    E-Print Network [OSTI]

    OLeary, Daniel Albert

    2015-01-01

    vii Abstract Artificial Neural Network for Optimized PowerAn Artificial Neural Network (ANN). Data is input to theSANTA CRUZ ARTIFICIAL NEURAL NETWORK FOR OPTIMIZED POWER

  7. Artificial Life in Quantum Technologies

    E-Print Network [OSTI]

    U. Alvarez-Rodriguez; M. Sanz; L. Lamata; E. Solano

    2015-05-14

    We develop a quantum information protocol that models the biological behaviors of individuals living in a natural selection scenario. The artificially engineered evolution of the quantum living units shows the fundamental features of life in a common environment, such as self-replication, mutation, interaction of individuals, and death. We propose how to mimic these bio-inspired features in a quantum-mechanical formalism, which allows for an experimental implementation achievable with current quantum platforms. This result paves the way for the realization of artificial life and embodied evolution with quantum technologies.

  8. Noise removal at the rod synapse of mammalian retina M.C.W. van ROSSUM and R.G. SMITH

    E-Print Network [OSTI]

    Smith, Robert G.

    Noise removal at the rod synapse of mammalian retina M.C.W. van ROSSUM and R.G. SMITH Department is accompanied by continuous noise. Since the mammalian rod bipolar cell collects signals from 20­100 rods, the noise from the converging rods would overwhelm the single-photon signal from one rod at scotopic

  9. Amino Acid Signatures in the Primate Retina Michael Kalloniatis,1 Robert E. Marc,2 and Ralph F. Murry2

    E-Print Network [OSTI]

    Marc, Robert E.

    Amino Acid Signatures in the Primate Retina Michael Kalloniatis,1 Robert E. Marc,2 and Ralph F glutamate, GABA, and glycine domi- nate retinal information processing (Yazulla, 1986; Ehinger, 1989; Marc, 1989; Marc et al., 1990, 1995; Massey, 1990; Davanger et al., 1991; Crooks and Kolb, 1992; Kalloniatis

  10. colour separation in the retina A. M. Labin, E. N. Ribak, S. K. Safuri and I. Perlman

    E-Print Network [OSTI]

    Ribak, Erez

    at the bottom of the retina. Lateral neural layers, for processing the image temporally, spectrally the expected light concentration according to colours. More details: 1. A. M. Labin and E. N. Ribak, "Retinal, "color sorting by retinal waveguides". Optics Express, Accepted (2014) Results: Simulations

  11. Artificial Intelligence 119 (2000) 295299 Book Review

    E-Print Network [OSTI]

    Würtz, Rolf P.

    2000-01-01

    Artificial Intelligence 119 (2000) 295­299 Book Review Gossiping Nets 6 Rolf P. Würtz 1 Ruhr;296 R.P. Würtz / Artificial Intelligence 119 (2000) 295­299 Anderson and Rosenfeld present a book

  12. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL parameters could possibly have application to other problems in vision. We investigate one such application and Cognitive Sciences and at the Artificial Intelligence Laboratory at the Massachusetts Institute

  13. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL vision tasks, including the computation of image correspondence, object verification, image synthesis at the Artificial Intelligence Laboratory and within the Center for Biological and Computational Learning

  14. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL parameters could possibly have application to other problems in vision. We investigate one such application of Brain and Cognitive Sciences and at the Artificial Intelligence Laboratory at the Massachusetts

  15. Artificial Intelligence: CS background D. Keil 7/11 David Keil, CSCI 400 Artificial Intelligence

    E-Print Network [OSTI]

    Keil, David M.

    Artificial Intelligence: CS background D. Keil 7/11 David Keil, CSCI 400 Artificial Intelligence Arrangements of data 1D. Keil Special Topics: Artificial Intelligence 1/12 2. Arrangements Topics: Artificial Intelligence 1/12 ( g ) y p * the set of all strings over L * a language (set

  16. 4. Uncertainty D. Keil Artificial Intelligence 1/12 CSCI 400 Artificial Intelligence

    E-Print Network [OSTI]

    Keil, David M.

    4. Uncertainty D. Keil Artificial Intelligence 1/12 CSCI 400 Artificial Intelligence David Keil in partially observable and non- deterministic environments? D. Keil Special Topics: Artificial Intelligence 1/12 2 #12;4. Uncertainty D. Keil Artificial Intelligence 1/12 Objectives 4a. Describe ways to operate

  17. Publications of the Finnish Artificial Intelligence Society -23 New Developments in Artificial

    E-Print Network [OSTI]

    Hyvönen, Eero

    Publications of the Finnish Artificial Intelligence Society - 23 New Developments in Artificial Intelligence and the Semantic Web Proceedings of the 12th Finnish Artificial Intelligence Conference STeP 2006 Kauppinen, Jukka Kortela, Mikko Laukkanen, Tapani Raiko, and Kim Viljanen Finnish Artificial Intelligence

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

    E-Print Network [OSTI]

    Güngör, Tunga

    . They use vision, smell and sound as input to their artificial neural network brains, which utilize HebbianAn Investigation of Artificial Neural Network Architectures in Artificial Life Implementations¨C2D!EF4¦GH¤G¦H¦I!46PRQSUTVXW Abstract. In this paper, an artificially created world is defined

  19. Artificial Intelligence through the eyes of Organised Sound

    E-Print Network [OSTI]

    Miranda, Eduardo Reck

    Artificial Intelligence through the eyes of Organised Sound Eduardo Miranda Keywords: Artificial Intelligence, symbolic and artificial life approaches, algorithmic composition Abstract Artificial intelligence is a rich and still-developing field with many musical applications

  20. 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 Networks 2 Artificial Neural Networks ANNSID Conclusions and Open Challenges #12;Motivation 3 #12;Motivating Questions Is it possible to use artificial neural networks to determine a linear model

  1. 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

  2. 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

  3. ARTIFICIAL INTELLIGENCE PLANNING PROBLEMS PETRI NET FRAMEWORK

    E-Print Network [OSTI]

    Antsaklis, Panos

    ARTIFICIAL INTELLIGENCE PLANNING PROBLEMS IN A PETRI NET FRAMEWORK K.M Passino and PJ. Antsaluis defined and then used to model a class of Artificial Intelligence planning problems. A planning stegy. As an iJlustration of the results three Artificial Intelligence planning problems are modelled and soved

  4. History and Philosophy of Artificial Intelligence

    E-Print Network [OSTI]

    Alechina, Natasha

    G52HPA: History and Philosophy of Artificial Intelligence Lecture 1: Module Overview Tony Pridmore syllabus © Brian Logan 2008 G52HPA Lecture 1: Module Overview 2 What is Artificial Intelligence? © Brian Logan 2008 G52HPA Lecture 1: Module Overview 3 What is Artificial Intelligence? · "The study of how

  5. Unifying Artificial Intelligence Robotics: An Undergraduate Textbook

    E-Print Network [OSTI]

    Crabbe, Frederick

    Unifying Artificial Intelligence Robotics: An Undergraduate Textbook Introduction to AI Robotics the artificial intelligence (AI) perspective. Robin Murphy's Introduction to AI Robotics (IAIR) is a new and artificial, intelligence perspective. Such a text would need to take into account that few undergraduates can

  6. ARTIFICIAL INTELLIGENCE Learning to see and act

    E-Print Network [OSTI]

    Meeden, Lisa A.

    ARTIFICIAL INTELLIGENCE Learning to see and act An artificial-intelligence system uses machine to process large amounts of data have led to progress in many areas of science, not least artificial intelligence (AI). With advances in machine learning has come the development of machines that can learn

  7. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1537 of Technology, 1995 This report describes research done at the Artificial Intelligence Laboratory and within Science Foundation under contract ASC­9217041. Support for the A.I. Laboratory's artificial intelligence

  8. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1536 Institute of Technology, 1995 This report describes research done at the Artificial Intelligence Laboratory the National Science Foundation under contract ASC­9217041. Support for the A.I. Laboratory's artificial

  9. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL by a grant from the NSF (ASC--9217041). Support for the laboratory's artificial intelligence research. of Brain and Cognitive Sciences, the Center for Biological and Computational Learning, and the Artificial

  10. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1611 June and Cognitive Sciences, the Center for Biological and Computational Learning and the Artificial Intelligence Laboratory of the Massachusetts Institute of Technology. Support for the artificial intelligence research

  11. 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

  12. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Scassellati, Brian

    February, 1999 A Binocular, Foveated Active Vision System Brian Scassellati MIT Artificial Intelligence Lab project at the MIT Artificial Intelligence Laboratory. The ac- tive vision system features a 3 degreeMASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1628

  13. Fabrication of microfluidic devices for artificial respiration

    E-Print Network [OSTI]

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

    2007-01-01

    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 ...

  14. "Artificial" brains, electrical grids, and disease modeling:...

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

    Science discoveries unveiled "Artificial" brains, electrical grids, and disease modeling: Los Alamos science discoveries unveiled September 15 The event is an opportunity for...

  15. Creating Artificial Radiation Belts in the Lab

    E-Print Network [OSTI]

    Mauel, Michael E.

    Creating Artificial Radiation Belts in the Lab or "Some Observations of Hot Plasma Trapped Jeff #12;Outline · The Earth's radiation belts and ring current · Fast-electron interchange instability) fusion. #12;#12;"Artificial Radiation Belts" Van Allen kissing Explorer 4 "good bye" before it's launch

  16. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL in the Department of Brain and Cognitive Sciences and in the Artificial Intelligence Laboratory at the Massachusetts, which is likely to play a significant role in eventually making intelligent machines. Not surprisingly

  17. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1570 August fl Massachusetts Institute of Technology, 1996 This report describes research done at the Artificial Intelligence Laboratory of the Massachusetts Institute of Technology. Support for this research was provided

  18. Research Article Artificial Intelligence in Video Games

    E-Print Network [OSTI]

    Ernst, Damien

    Research Article Artificial Intelligence in Video Games: Towards a Unified Framework Firas Safadi artificial intelligence (AI) is a broad notion in video games, it is important to start by defining the scope human intelligence. On the other hand, AI is usually independently designed for each game. This makes

  19. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Koch, Christof

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL of Technology within the Artificial Intelligence Laboratory and the Center for Biological Information Processing is the sluggish time course of the electrical signals in the very early stages of vision compared with our quick

  20. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL in the Department of Brain and Cognitive Sciences and in the Artificial Intelligence Laboratory at the Massachusetts of antique cars. Computer vision is well on its way to solve restricted versions of the problem of object

  1. ARTIFICIAL FERTILIZATION OF LAKES AND PONDS

    E-Print Network [OSTI]

    ARTIFICIAL FERTILIZATION OF LAKES AND PONDS A Review of the Literature SPECIAL SCIENTIFIC REPORT., John L. Farley, Director ARTIFICIAL FERTILIZATION OF LAKES AND PONDS A Review of the Literature By John Interpretation of results .................. l5 Fertilization and pond culture .................. l6 The pond

  2. Near & Far Sides of Artificial Sky 

    E-Print Network [OSTI]

    Unknown

    2011-08-17

    This paper is a general overview of the field of artificial Intelligence and of some of the application issues within that field. Its first objective is to try and establish a viable definition for what artificial intelligence is, and to make a...

  3. 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 ­ Generate Training Data ­ Train Artificial Neural Network Results Conclusion Characterization of Shape Characterization of Shape Memory Alloys Using Artificial Neural Networks Jim Henrickson, Kenton Kirkpatrick, Dr

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

    E-Print Network [OSTI]

    Terzopoulos, Demetri

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

  5. Ben Goertzel, Pascal Hitzler, Marcus Hutter (Editors) Artificial General Intelligence

    E-Print Network [OSTI]

    Hutter, Marcus

    #12;Ben Goertzel, Pascal Hitzler, Marcus Hutter (Editors) Artificial General Intelligence Proceedings of the Second Conference on Artificial General Intelligence, AGI 2009, Arlington, Virginia, USA ________________________________________________________________________ #12;Artificial General Intelligence Volume Editors Ben Goertzel Novamente & Biomind LLC 1405 Bernerd

  6. Artificial general intelligence: an organism and level based position

    E-Print Network [OSTI]

    Smith, Leslie S.

    Artificial general intelligence: an organism and level based position statement Leslie S. SMITH 1. Keywords. artificial general intelligence, brain model, paramecium, level interaction Introduction There are many views of what should be described as artificial general intelligence. Gen- eral intelligence

  7. Eric Baum, Marcus Hutter, Emanuel Kitzelmann (Editors) Artificial General Intelligence

    E-Print Network [OSTI]

    Hutter, Marcus

    #12; Eric Baum, Marcus Hutter, Emanuel Kitzelmann (Editors) Artificial General Intelligence Proceedings of the Third Conference on Artificial General Intelligence, AGI 2010, Lugano, Switzerland, March 5 of the first mathematical theory of Optimal Universal Artificial Intelligence. Ray intended to deliver

  8. Teaching Artificial Intelligence in Introductory Cognitive Science Courses

    E-Print Network [OSTI]

    Bustamante, Fabián E.

    Teaching Artificial Intelligence in Introductory Cognitive Science Courses Sara Owsley Sood Pomona of Artificial Intelligence and Cognitive Science is the question "What is intelligence?" The answer of topics and resources intended for use in teaching artificial intelligence in the confines

  9. Artificial Production Review Report and Recommendations of the

    E-Print Network [OSTI]

    i Artificial Production Review Report and Recommendations of the Northwest Power Planning Council.................................................................................................................................. 1 A. Artificial Production Programs in the Columbia River Basin................................................. 1 B. The Council's Artificial Production Review

  10. Artificial General Intelligence and the Future of the Human Race

    E-Print Network [OSTI]

    Pavlacka, Bryon

    2012-01-01

    Institute for Artificial Intelligence [SIAI], 2001, para.Institute for Artificial Intelligence [SIAI], 2001, para.I ssue 2 • 1 B S J Artificial Intelligence is all around us.

  11. DOE News

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

    DOE, (509) 372-0810 Hanford Waste Treatment Plant Project's Analytical Laboratory mechanical systems design completed Richland, Wash. -- Engineers working on the Hanford Waste...

  12. DOE News

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

    CONTACT: FOR IMMEDIATE RELEASE: Carrie Meyer, DOE, (509) 372-0810 February 15, 2012 Fourth Chapter of Hanford Story Released to Public RICHLAND, Wash. - The Department of Energy...

  13. Transit Lightcurve Signatures of Artificial Objects

    E-Print Network [OSTI]

    Luc Arnold

    2005-03-27

    The forthcoming space missions, able to detect Earth-like planets by the transit method, will a fortiori also be able to detect the transit of artificial planet-size objects. Multiple artificial objects would produce lightcurves easily distinguishable from natural transits. If only one artificial object transits, detecting its artificial nature becomes more difficult. We discuss the case of three different objects (triangle, 2-screen, louver-like 6-screen) and show that they have a transit lightcurve distinguishable from the transit of natural planets, either spherical or oblate, although an ambiguity with the transit of a ringed planet exists in some cases. We show that transits, especially in the case of multiple artificial objects, could be used for the emission of attention-getting signals, with a sky coverage comparable to the laser pulse method. The large number of expected planets (several hundreds) to be discovered by the transit method by next space missions will allow to test these ideas.

  14. Quality Control by Artificial Vision

    SciTech Connect (OSTI)

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

    2010-01-01

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

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

    Office of Science (SC) Website

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6Aerosols | U.S. DOEU.S. DOEPresidentialOctober

  16. 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

  17. 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; Rai, Asit; Tripathi, Sachin; Nagar, Geet Kumar; Mitra, Kalyan; Bandyopadhyay, Sanghamitra

    2013-12-01

    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.

  18. DOE-0346

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2 DOE HQSite toDOE, State of IdahoDOE-0346

  19. DOE-0400

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2 DOE HQSite toDOE, State of IdahoDOE-03461 of

  20. 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

  1. Quantization of Games: Towards Quantum Artificial Intelligence

    E-Print Network [OSTI]

    Katarzyna Miakisz; Edward W. Piotrowski; Jan Sladkowski

    2004-12-30

    On grounds of the discussed material, we reason about possible future development of quantum game theory and its impact on information processing and the emerging information society. The idea of quantum artificial intelligence is explained.

  2. Achieving Artificial Intelligence through Building Robots

    E-Print Network [OSTI]

    Brooks, Rodney A.

    1986-05-01

    We argue that generally accepted methodologies of Artificial Intelligence research are limited in the proportion of human level intelligence they can be expected to emulate. We argue that the currently accepted ...

  3. Artificial Immune System based urban traffic control 

    E-Print Network [OSTI]

    Negi, Pallav

    2007-09-17

    Borrowing ideas from natural immunity, Artificial Immune Systems (AIS) offer a novel approach to solving many diagnosis, optimization and control problems. In the course of this research this paradigm was applied to the problem of optimizing urban...

  4. Building Grounded Abstractions for Artificial Intelligence Programming

    E-Print Network [OSTI]

    Hearn, Robert A.

    2004-06-16

    Most Artificial Intelligence (AI) work can be characterized as either ``high-level'' (e.g., logical, symbolic) or ``low-level'' (e.g., connectionist networks, behavior-based robotics). Each approach suffers from particular ...

  5. Modelling artificial pheromone strategies for SPB control 

    E-Print Network [OSTI]

    Isakson, Kyle George

    1981-01-01

    MODELLING ARTIFICIAL PHEROMONE STRATEGIES FOR SPB CONTROL A Thesis Kyle George Isakson Submitted to the Graduate College of Texas AAM University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE August 19gl... of Department) -August 1981 ABSTRACT Modelling Artificial Pheromone Strategies for SPB Control. (August 1981) Kyle George Isakson, B. S. , Texas A&M University Co-Chairmen of Advisory Committee: Dr. Hain-1 Wu Dr. Youhanna Fares The development...

  6. Applying Artificial Intelligence to Virtual Reality: Intelligent Virtual Environments

    E-Print Network [OSTI]

    Luck, Michael

    Applying Artificial Intelligence to Virtual Reality: Intelligent Virtual Environments Ruth Aylett intelligence and artificial life on the other has largely been carried out by two different groups of people combining artificial intelligence and artificial life techniques with those of virtual environments

  7. Simon Holland 1 Artificial Intelligence in music education: a critical review Artificial Intelligence in music education: a critical review

    E-Print Network [OSTI]

    Holland, Simon

    © Simon Holland 1 Artificial Intelligence in music education: a critical review Artificial Intelligence in Music Education: a critical review. In Miranda, E. (ed.) Readings in Music and Artificial This paper reviews the principal approaches to using Artificial Intelligence in Music Education. Music

  8. DOE Letterhead

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2 DOE HQ F 1410.2 Form usedJanuary 5,DOE LNGDOE

  9. DOE-0336

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2 DOE HQSite toDOE, State of Idaho SignSponsorto36

  10. DOE-0342

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2 DOE HQSite toDOE, State of Idaho SignSponsorto36

  11. DOE-0344

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2 DOE HQSite toDOE, State of Idaho

  12. Experimental Realization of Quantum Artificial Intelligence

    E-Print Network [OSTI]

    Li Zhaokai; Liu Xiaomei; Xu Nanyang; Du jiangfeng

    2014-10-04

    Machines are possible to have some artificial intelligence like human beings owing to particular algorithms or software. Such machines could learn knowledge from what people taught them and do works according to the knowledge. In practical learning cases, the data is often extremely complicated and large, thus classical learning machines often need huge computational resources. Quantum machine learning algorithm, on the other hand, could be exponentially faster than classical machines using quantum parallelism. Here, we demonstrate a quantum machine learning algorithm on a four-qubit NMR test bench to solve an optical character recognition problem, also known as the handwriting recognition. The quantum machine learns standard character fonts and then recognize handwritten characters from a set with two candidates. To our best knowledge, this is the first artificial intelligence realized on a quantum processor. Due to the widespreading importance of artificial intelligence and its tremendous consuming of computational resources, quantum speedup would be extremely attractive against the challenges from the Big Data.

  13. On artificial transits feasibility and SETI

    E-Print Network [OSTI]

    Luc Arnold

    2005-09-15

    It is known that the shape of a planet (oblateness, rings, etc.) slightly modifies the shape of the transit light curve. The forthcoming space missions (Corot, Kepler), able to detect the transit of Earth-like planets, could a fortiori also detect the transit of artificial planet-size objects if their shape is significantly different from a natural (planetary) object. Multiple artificial objects would also produce transit light curves easily recognizable from natural transits. Artificial transits, especially of multiple objects, could be used for the transmission of clear attention-getting signals, with a sky coverage (efficiency) comparable to that of the laser pulse method. Although out of reach of current human technologies, the building of an Earth-size 1-micron thick mask would require energy and bulk material amounts already managed on Earth today. The migration of the mask toward an inner orbit and its protection against asteroids or meteoroids are also briefly discussed.

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

    E-Print Network [OSTI]

    Skinner, Rebecca Elizabeth

    2012-01-01

    Expert Systems and Artificial Intelligence: Applications andExpert Systems and Artificial Intelligence: Applications andThe Man-Machine and Artificial Intelligence”, in Franchi and

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

    E-Print Network [OSTI]

    Skinner, Rebecca Elizabeth

    2012-01-01

    with robotics and artificial vision. Allen Newell andoriginal research in artificial vision, pattern recognition,and in vision. Marvin Minsky arrives at MIT Artificial

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

    E-Print Network [OSTI]

    Skinner, Rebecca Elizabeth

    2012-01-01

    The Handbook of Artificial Intelligence. Volumes 1-3. LosThe Handbook of Artificial Intelligence. Volume IV. MenloIntroduction to Artificial Intelligence. Reading, MA:

  17. DOE PAGES Beta

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

    DOE PAGES Beta , DOE is * offering readers the best available versions of DOE-affiliated scholarly publications, either the version-of-record journal articles or the corresponding...

  18. Does Deinstitutionalization Increase Suicide?

    E-Print Network [OSTI]

    Yoon, Jangho; Bruckner, Tim A

    2009-01-01

    RESEARCH ARTICLE Does Deinstitutionalization IncreaseHowever, the literature does not support this notion ofsupply. If privatization does not influence the availability

  19. DOE-1 BDL SUMMARY. DOE-1 GROUP.

    E-Print Network [OSTI]

    Authors, Various

    2011-01-01

    may be this command. DOE~! Reference Manual. placed in BDL-3W-7405-EN ons c BDl, SUMMARY DOE~· I l.awrence , Californiaused in conjunction with other DOE~l documentation. Table of

  20. Smart Pneumatic Artificial Muscle Actuator with Embedded Microfluidic Sensing

    E-Print Network [OSTI]

    Park, Yong-Lae

    Smart Pneumatic Artificial Muscle Actuator with Embedded Microfluidic Sensing Yong-Lae Park1 materials cannot be employed for large strains. In this paper, we propose a smart artificial pneumatic

  1. Artificial Intelligence Design for Real-time Strategy Games

    E-Print Network [OSTI]

    Ernst, Damien

    Artificial Intelligence Design for Real-time Strategy Games Firas Safadi University of Li been challenging intelligence, human and artificial (AI) alike, as one of the top genre in terms

  2. Risk Estimation; Background Radiation (Natural and Artificial )

    E-Print Network [OSTI]

    Massey, Thomas N.

    . · This is necessary to obtain reasonable statistics on these rare events of radiation effects at low dose is based artificial and natural · response to low-level radiation. · personal background radiation level. #12;An Organism's Response to Radiation · The dose response can be linear or nonlinear and threshold or non

  3. Applied Intelligence The International Journal of Artificial

    E-Print Network [OSTI]

    Potter, Don

    including pro- tecting crops from damage, avoiding heat stress on animals and humans, and in planning related to energy management. Current web-based artificial neural network (ANN) mod- els on the Automated, will cause the wa- ter vapor to condense into liquid water. The dew point is the saturation temperature

  4. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Portland State University

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1293 April, 1991 Intelligence Without Reason Rodney A. BrooksPrepared for Computers and Thought, IJCAI-91 Abstract Computers and Thought are the two categories that together de ne Arti cial Intelligence as a discipline

  5. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Portland State University

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1439 August to fundamentally change the way arti cial intelligence, cognitive science, linguistics, and philosophy think about the organization of intelligence. We expect to be able to better reconcile the theories that will be developed

  6. Artificial Neural Network for Optimized Power System Management

    E-Print Network [OSTI]

    OLeary, Daniel Albert

    2015-01-01

    solar–wind–hydrogen) model based in artificial intelligence for a remote-housing application in mexico.

  7. Title: Affective Artificial Intelligence for loving robots By Professor Hooman Samani, NTPU, Taiwan

    E-Print Network [OSTI]

    Chen, Chaur-Chin

    Title: Affective Artificial Intelligence for loving robots By Professor Hooman Samani, NTPU, Taiwan advanced artificial intelligence system of Lovotics includes an Artificial Endocrine System (based (based on emotions) modules. Psychological unit of the Lovotics artificial intelligence calculates

  8. 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 the Danger Theory. In this conceptual paper, we look at this theory from the perspective of Artificial Immune

  9. AI 1 Introductory Notes. Page 1 Artificial Intelligence I

    E-Print Network [OSTI]

    Huntbach, Matthew

    AI 1 Introductory Notes. Page 1 Artificial Intelligence I Matthew Huntbach, Dept of Computer.J.M.Bench-Capon Knowledge Representation: An Approach to Artificial Intelligence Academic Press (1990). A little simplistic, but short and not over-technical. Covers roughly the same material as will be in the Artificial Intelligence

  10. MIT Computer Science & Artificial Intelligence Laboratory The Choices We Make

    E-Print Network [OSTI]

    Durand, Frédo

    MIT Computer Science & Artificial Intelligence Laboratory The Choices We Make Frédo Durand MIT CSAIL #12;MIT Computer Science & Artificial Intelligence Laboratory Introduction · My background ­ Math Computer Science & Artificial Intelligence Laboratory Introduction · I don't build tools, I am an academic

  11. ARTIFICIAL INTELLIGENCE 223 A Geometric Approach to Error

    E-Print Network [OSTI]

    Richardson, David

    ARTIFICIAL INTELLIGENCE 223 A Geometric Approach to Error Detection and Recovery for Robot Motion, and uncertainty in the geometric * This report describes research done at the Artificial Intelligence Laboratory of the Massach- usetts Institute of Technology. Support for the Laboratory's Artificial Intelligence research

  12. Artificial Intelligence 120 (2000) 2942 Optimal auctions revisited 6

    E-Print Network [OSTI]

    Monderer, Dov

    2000-01-01

    Artificial Intelligence 120 (2000) 29­42 Optimal auctions revisited 6 Dov Monderer , Moshe. Tennenholtz / Artificial Intelligence 120 (2000) 29­42 game theory [5]. In particular, the design of protocols aspects of multi-agent activity in Artificial Intelligence has grown rapidly in the recent years. Work

  13. Artificial Intelligence and Intrusion Detection: Current and Future Jeremy Frank

    E-Print Network [OSTI]

    Yoo, S. J. Ben

    Artificial Intelligence and Intrusion Detection: Current and Future Directions Jeremy Frank frank. Artificial Intelligence techniques can reduce the human effort required to build these systems and can data. We survey uses of artificial intelligence methods in ID, and present an example using feature

  14. Readings for Artificial Intelligence CS63 Fall 2007

    E-Print Network [OSTI]

    Meeden, Lisa A.

    Readings for Artificial Intelligence CS63 Fall 2007 1. A proposal for the Dartmouth Summer Research Project on Artificial Intelligence, John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon Norvig (2003). Chapter 3 from Artificial Intelligence: A modern approach, Second edition, Prentice Hall

  15. Emotional Computation in Artificial Intelligence Education Sara Owsley Sood

    E-Print Network [OSTI]

    Bustamante, Fabián E.

    Emotional Computation in Artificial Intelligence Education Sara Owsley Sood Department of Computer of work towards creating artificial intelligence, some researchers are now attempting to create machines that are emotionally intelligent. The standard definition of artificial intelligence is the ability for a machine

  16. Test and Evaluation Challenges of Embodied Artificial Intelligence and Robotics

    E-Print Network [OSTI]

    MacLennan, Bruce

    Test and Evaluation Challenges of Embodied Artificial Intelligence and Robotics Technical Report UT science, artificial intelligence (AI), and robotics promise a new generation of intelligent agents is an unedited draft of "Challenges of Embodied Artificial Intelligence and Robotics," an article invited

  17. One Decade of Universal Artificial Intelligence Marcus Hutter

    E-Print Network [OSTI]

    Hutter, Marcus

    One Decade of Universal Artificial Intelligence Marcus Hutter RSCS @ ANU and SML @ NICTA Canberra artificial intelligence. This theory of Universal Artifi- cial Intelligence (UAI) has made significant that the grand goal of Artificial General Intelligence is not elusive. This article provides an informal overview

  18. Intelligent Interfaces Artificial Intelligence Meets Human Computer Interaction

    E-Print Network [OSTI]

    Meliou, Alexandra

    Intelligent Us er Interfaces Artificial Intelligence Meets Human Computer Interaction r r f ala ris of Intelligent User Interface design is often loosely described as the intersection of the fields of Artificial is that they elude to specific artificial intelligence techniques and as Waern writes ``What, exactly, counts

  19. Artificial Intelligence in the Factory of the Future

    E-Print Network [OSTI]

    Fox, Mark S.

    Artificial Intelligence in the Factory of the Future Ma rk S. Fox Intelligent Systems Laboratory goal to explore the application of artificial intelligence to mansgerial and professional problems,tk:s Institute of Carnegie-Mellon University. IMS is a long term project concerned with applying artificial

  20. Artificial Intelligence for Engineering Design, Analysis and Manufacturing

    E-Print Network [OSTI]

    Yang, Maria

    Artificial Intelligence for Engineering Design, Analysis and Manufacturing http://journals.cambridge.org/AIE Additional services for Artificial Intelligence for Engineering Design, Analysis and Manufacturing: EmailNoël Demaret, Maria C. Yang and Pierre Leclercq Artificial Intelligence for Engineering Design, Analysis

  1. ARTIFICIAL INTELLIGENCE Irish Al research pushes onto international stage

    E-Print Network [OSTI]

    Foley, Simon

    ARTIFICIAL INTELLIGENCE Irish Al research pushes onto international stage Since 2001, when 4C into the international league in terms of artificial intelligence and constraints programming. The 4C centre (Cork this quarter. Four papers were accepted by the American Association for Artificial Intelligence Conference

  2. 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

  3. 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

  4. Chaotic time series prediction using artificial neural networks

    SciTech Connect (OSTI)

    Bartlett, E.B.

    1991-12-31

    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.

  5. Chaotic time series prediction using artificial neural networks

    SciTech Connect (OSTI)

    Bartlett, E.B.

    1991-01-01

    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.

  6. DOE Report

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB Packet HanfordDOE Project Taps HPC for2 Environmental Assessment

  7. DOE HANDBOOK

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i pStateDOE Federal Aviation Professional AwardsProgram |on Overseas

  8. Artificial neural network cardiopulmonary modeling and diagnosis

    DOE Patents [OSTI]

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

    1997-01-01

    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.

  9. Artificial neural network cardiopulmonary modeling and diagnosis

    DOE Patents [OSTI]

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

    1997-10-28

    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.

  10. DOE-FLEX: DOE's Telework Program

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

    2013-02-11

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

  11. DOE-1 USERS GUIDE

    E-Print Network [OSTI]

    Authors, Various

    2011-01-01

    systems, etc. b. c. Run DOE-Ion each building design.ECONOMICS (It is assumed that DOE-l has already been run onthe baseline costs). vi. Run DOE-l vii. ECONOMICS report E03

  12. 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

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

    E-Print Network [OSTI]

    Edmonds, Jessica Leigh

    2008-01-01

    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 ...

  14. Can Small Go Big? Microfluidics Aid Quest for Artificial Photosynthesi...

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

    Can Small Go Big? Microfluidics Aid Quest for Artificial Photosynthesis Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding...

  15. Lecturer: Amir Globerson Computer Science and Artificial Intelligence Laboratory, MIT

    E-Print Network [OSTI]

    Barash, Danny

    Lecturer: Amir Globerson Computer Science and Artificial Intelligence Laboratory, MIT Title: Making in fields such as machine vision, natural language processing and computational biology. With the growing

  16. Synthetic nanotubes lay foundation for new technology: Artificial...

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

    Synthetic nanotubes lay foundation for new technology: Artificial pores mimic key features of natural pores By Tona Kunz * July 17, 2012 Tweet EmailPrint Scientists have overcome...

  17. Towards an artificial formate dehydrogenase : : mechanistic studies of formate oxidation and CO? reduction by metal P?N? complexes

    E-Print Network [OSTI]

    Seu, Candace Sachi Wai Mei

    Kubiak, C.P. "Artificial photosynthesis of CO: Kinetic andfor use in the “artificial photosynthesis” of solar fuels,biology-inspired “artificial photosynthesis”, it is worth

  18. DOE Lessons Learned

    Broader source: Energy.gov [DOE]

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

  19. 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.

    7. 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 might (a) NAO or (b) Siri operate as a member of a team or network? D. Keil Artificial Intelligence 7

  20. Artificial Intelligence: Math and CS background D. Keil 7/13 1D. Keil CSCI 300 Artificial Intelligence 7/13

    E-Print Network [OSTI]

    Keil, David M.

    Artificial Intelligence: Math and CS background D. Keil 7/13 1D. Keil CSCI 300 Artificial Intelligence 7/13 David Keil, Framingham State University CSCI 300 Artificial Intelligence Mathematical is a function? Examples? · What is inference? #12;Artificial Intelligence: Math and CS background D. Keil 7/13 D

  1. New Frontiers For An Artificial Immune System Julie Greensmith

    E-Print Network [OSTI]

    Aickelin, Uwe

    New Frontiers For An Artificial Immune System Julie Greensmith Digital Media Systems Laboratory HP Laboratories Bristol HPL-2003-204 October 7th , 2003* artificial immune system, document classification on various classification tasks, including data clustering. This thesis proposes the use of this system

  2. 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

  3. 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

  4. 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 that automatically compile neural networks into symbolic rules offer a promising perspective to overcome

  5. 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. There are many techniques that aim to improve the performance of neural networks for safety-critical systems

  6. 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

  7. SPE-169507-MS Artificial Intelligence (AI) Assisted History Matching

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    SPE-169507-MS Artificial Intelligence (AI) Assisted History Matching Alireza Shahkarami, Shahab D a successful history matching project. The pattern recognition capabilities of Artificial Intelligence and Data the history matching process. SRM is an intelligent prototype of the full-field reservoir simulation model

  8. The Role of Artificial Intelligence in Software Engineering

    E-Print Network [OSTI]

    Harman, Mark

    The Role of Artificial Intelligence in Software Engineering Mark Harman CREST Centre, University in the application of Artificial Intelligence (AI) techniques to Software Engineering (SE) problems. The work is typified by recent advances in Search Based Software Engineering, but also by long established work

  9. Access via Science Online Site Pass ARTIFICIAL INTELLIGENCE

    E-Print Network [OSTI]

    Duckett, Tom

    Access via Science Online Site Pass ARTIFICIAL INTELLIGENCE: Autonomous Mental Development of an adult brain, such as vision, speech, and language. Nevertheless, these traditional approaches have." A Definition What is autonomous mental development? With time, a brainlike natural or an artificial embodied

  10. Computer Science and Artificial Intelligence Laboratory Technical Report

    E-Print Network [OSTI]

    Poggio, Tomaso

    Computer Science and Artificial Intelligence Laboratory Technical Report massachusetts institute is a penultimate draft. The final version was published as a chapter in Machine Learning for Computer Vision (2012. Abstract In recent years, scientific and technological advances have produced artificial systems that have

  11. Learning to discriminate complex movements: Biological versus artificial trajectories

    E-Print Network [OSTI]

    Kourtzi, Zoe

    Learning to discriminate complex movements: Biological versus artificial trajectories Laboratory consistent with human movements. A second class of stimuli was based on artificial skeleton models that were on learning has been demonstrated for a broad range of visual tasks ranging from lower level vision tasks like

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

    E-Print Network [OSTI]

    Federspiel, William J.

    2007-01-01

    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

  13. 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

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

    E-Print Network [OSTI]

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

  15. LUABAB: Leeds University Angry Birds Artificial Brain Brandon Bennett

    E-Print Network [OSTI]

    Bennett, Brandon

    LUABAB: Leeds University Angry Birds Artificial Brain Brandon Bennett University of Leeds United Kingdom B.Bennett@leeds.ac.uk Abstract This document gives an overview of the develop- ment and design principles behind LUABAB, the Leeds University Angry Birds Artificial Brain. 1 Background There is a long

  16. 10/22/09 1:38 PMCaltech Scientists Create Robot Surrogate for Blind Persons in Testing Visual Prostheses -Caltech Page 1 of 3http://media.caltech.edu/press_releases/13294

    E-Print Network [OSTI]

    Arizona, University of

    artificial vision prostheses. And this, too, is often done. But it's a less-than-ideal solution since with a visual prosthesis, such as an artificial retina. An artificial retina consists of a silicon chip studded and Programs in Biomedicine. An artificial retina, also known as a retinal prosthesis, may use either

  17. General Shape Grammar Interpreter for Intelligent Designs Generations Artificial Intelligence Research Institute

    E-Print Network [OSTI]

    Rodríguez, Inmaculada

    General Shape Grammar Interpreter for Intelligent Designs Generations T. Trescak Artificial@maia.ub.es M. Esteva Artificial Intelligence Research Institute Spanish Council for Scientific Research visualization and artificial intelligent technologies have motivated the evolution of traditional computer aided

  18. Engineering Applications of Artificial Intelligence 16 (2003) 237250 Hierarchical decision making for proactive quality control: system

    E-Print Network [OSTI]

    Huang, Yinlun

    2003-01-01

    Engineering Applications of Artificial Intelligence 16 (2003) 237­250 Hierarchical decision making by resorting to artificial intelligence and engineering fundamentals. The approach is developed for solving control; Intelligent decision support; Artificial intelligence; Fuzzy logic; Automotive coating 1

  19. Enhancement of artificial magnetism via resonant bianisotropy

    E-Print Network [OSTI]

    Markovich, Dmitry; Shalin, Alexander; Samusev, Anton; Krasnok, Alexander; Belov, Pavel; Ginzburg, Pavel

    2015-01-01

    All-dielectric "magnetic light" nanophotonics based on high refractive index nanoparticles allows controlling magnetic component of light at nanoscale without having high dissipative losses. The artificial magnetic optical response of such nanoparticles originates from circular displacement currents excited inside those structures and strongly depends on geometry and dispersion of optical materials. Here a new approach for increasing magnetic response via resonant bianisotropy effect is proposed and analyzed. The key mechanism of enhancement is based on electric-magnetic interaction between two electrically and magnetically resonant nanoparticles of all-dielectric dimer nanoantenna. It was shown that proper geometrical arrangement of the dimer in respect to the incident illumination direction allows flexible control over all vectorial components of magnetic polarizability, tailoring the later in the dynamical range of 100 % and enhancement up to 36 % relative to performances of standalone spherical particles....

  20. DOE-FLEX: DOE's Telework Program

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

    2011-07-05

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

  1. Artificial Intelligence, Story Generation and Literary Creativity: the State of the Art

    E-Print Network [OSTI]

    Bringsjord, Selmer

    Artificial Intelligence, Story Generation and Literary Creativity: the State of the Art Selmer, doing it. The result of our engineering is BRUTUS, an artificial storyteller who certainly appears

  2. ARTIFICIAL INTELLIGENCE 10 ITNOW December 2013

    E-Print Network [OSTI]

    Hopgood, Adrian

    individuals does not constitute a team or a functioning society. To benefit from the collective capabilities to achieve this aim, with diverse software agents working together like a team of boffins that share spectrum, and is closing in towards the middle. The gaps relate to behaviours that we tend to take

  3. Extension of DOE Directives

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

    2005-03-18

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

  4. Does Doctrine Drive Technology or Does Technology Drive Doctrine?

    E-Print Network [OSTI]

    Blasko, Dennis

    2010-01-01

    Policy Brief No. 4 September 2010 Does Doctrine DriveTechnology or Does Technology Drive Doctrine? Dennis Blaskoone way. However, technology does not determine strat- egy.

  5. DOE Responses to DOE Challenge Home (formerly Builders Challenge...

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

    - Responses to Draft Specification Comments 1 Updated 492012 DOE Responses to DOE Challenge Home (formerly Builders Challenge) National Program Requirements Public Comments DOE...

  6. Active DOE Technical Standards

    Energy Savers [EERE]

    with DOE Order 5480.23, Nuclear Safety Analysis Reports James O'Brien All Ac ve DOE Technical Standards Document Number Document Title Responsible SLM A-1 As of: 12-May-15...

  7. DOE MENTOR-PROTÉGÉ

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

    goal, 52% small business subcontracting goal, and statutory socio-economic goal 2 HISTORY OF DOE MENTOR-PROTG PROGRAM June 9, 1995 The DOE Mentor Protg Program Initiative...

  8. DOE MENTOR-PROTÉGÉ

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

    goal , 52% small business subcontracting goal, and statutory socio-economic goals 2 HISTORY OF DOE MENTOR-PROTG PROGRAM June 9, 1995 The DOE Mentor Protg Program Initiative...

  9. Vintage DOE: Accomplishments

    Broader source: Energy.gov [DOE]

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

  10. Human Genome: DOE Origins

    Office of Scientific and Technical Information (OSTI)

    under the aegis of the ... DOE. ... In 1985, DeLisi took the reins of DOE's Office of Health and Environmental Research OHER, the program that supported most Biology in the...

  11. DOE Sustainability SPOtlight

    Broader source: Energy.gov [DOE]

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

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

    Office of Science (SC) Website

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe23-24, 2011 HighMay Advanced ScientificOffice of Science (SC)

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

    Office of Science (SC) Website

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thIWalter H.4Office of Science (SC)

  14. Extension of DOE Directives

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

    2005-09-15

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

  15. Extension of DOE Directives

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

    2004-08-12

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

  16. Extension of DOE Directives

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

    2003-02-24

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

  17. Extension of DOE Directives

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

    2004-02-12

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

  18. Does Australia Have a Constitution?

    E-Print Network [OSTI]

    Mayer, Kenneth R.; Schweber, Howard H.

    2008-01-01

    338, 353 (Austl. ). DOES AUSTRALIA HAVE A CONSTITUTION?Nov. 8, 2006. TIMES, DOES AUSTRALIA HAVE A CONSTITUTION?DOES AUSTRALIA HAVE A CONSTITUTION? PART I: POWERS - A

  19. Characterization of Shape Memory Alloys Using Artificial Neural Networks 

    E-Print Network [OSTI]

    Henrickson, James V

    2014-04-28

    shape memory alloy material parameters with satisfactory accuracy. Comparison of the implemented training data generation methods indicates that the Taguchi-based approach yields an artificial neural network that outperforms that of the factorial...

  20. Hunting a robot controlled by an artificial brain

    E-Print Network [OSTI]

    Visser, Arnoud

    In this demonstration an Raspberry Pi robot, controlled by an artificial brain which simulates the 302 neurons on the GoPiGo robot board1 . The demonstration is based on the later robot, which consists of a Raspberry Pi

  1. Artificial Intelligence, Language and the Study of Knowledge

    E-Print Network [OSTI]

    Goldstein, Ira

    1975-07-01

    This paper studies the relationship of Artificial Intelligence to the study of language and the representation of the underlying knowledge which supports the comprehension process. It develops the view that intelligence ...

  2. Artificial Intelligence and The Many Faces of Reason 

    E-Print Network [OSTI]

    Clark, Andy

    2003-01-01

    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, the crucial place...

  3. Flexible Electronics Could Find Applications As Sensors, Artificial Muscles

    E-Print Network [OSTI]

    Rogers, John A.

    Flexible Electronics Could Find Applications As Sensors, Artificial Muscles Science Daily -- Flexible electronic structures with the potential to bend, expand and manipulate electronic devices. In addition to a biomedical impact, flexible electronics are important for energy technology as flexible

  4. Maintaining artificial recharge ponds under uncertainty: a probabilistic approach for

    E-Print Network [OSTI]

    Politècnica de Catalunya, Universitat

    Maintaining artificial recharge ponds under uncertainty: a probabilistic approach for engineering surface ponds (SP) Clogging What is clogging? Mathematical models for clogging Risk formulation Carlo analysis Conclusions #12;Surface ponds (SP) collect selected external water (e.g. regenerated

  5. Artificial Neural Network Circuit for Spectral Pattern Recognition 

    E-Print Network [OSTI]

    Rasheed, Farah

    2013-09-04

    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...

  6. Injection Molding at the MIT Artificial Intelligence Lab

    E-Print Network [OSTI]

    Binnard, Michael

    1995-02-23

    This paper describes the injection molding equipment at the MIT Artificial Intelligence Lab and how to use it. Topic covered include mold design, insert molding, safety, and material properties.

  7. Evolution of Memory in Reactive Artificial Neural Networks 

    E-Print Network [OSTI]

    Chung, Ji Ryang

    2012-07-16

    In the neuronal circuits of natural and artificial agents, memory is usually implemented with recurrent connections, since recurrence allows past agent state to affect the present, on-going behavior. Here, an interesting ...

  8. Artificial teeth : dental biofilm analysis on a chip

    E-Print Network [OSTI]

    Lam, Raymond Hiu-wai

    2010-01-01

    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 ...

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

    E-Print Network [OSTI]

    Orkin, Jeffrey David

    2013-01-01

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

  10. Encapsulating the meta-level knowledge in distributed artificial intelligence 

    E-Print Network [OSTI]

    Underbrink, Alvin Joseph

    1988-01-01

    ENCAPSULATING THE META-LEVEL KNOWLEDGE IN DISTRIBUTED ARTIFICIAL INTELLIGENCE A Thesis by ALVIN JOSEPH UNDERBRINK, JR. Submitted to the Graduate College of Texas AgcM University in partial fulfillment of the requirements for the degree... of MASTER OF SCIENCE December 1988 Major Subject: Computer Science EN CAP SULATING THE META-LEVEL KNOWLED GE IN DISTRIBUTED ARTIFICIAL INTELLIGENCE A Thesis by ALVIN JOSEPH UNDERBRINK, JR. Approved as to style and content by: &K &, ~ eni'- Donald...

  11. Use of artificial intelligence for process modeling and control 

    E-Print Network [OSTI]

    You, Yong

    1991-01-01

    USE OF ARTIFICIAL INTELLIGENCE FOR PROCESS MODELING AND CONTROL A Thesis by YONG YOU Submitted to the Office of Graduate Stuclies of Texas A&M University in partial fulffllment of the requirement for the degree of IvIASTER OF SCIENCE May... 1991 Major Subject: Chemical Engineering USE OF ARTIFICIAL INTELLIGENCE FOR PROCESS MODELING AND CONTROL A Thesis by YONG YOU Approved as to style and content by: Michael Nikolaou (Chair of Committee) Ralph E. White (Member) Alexande...

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

    E-Print Network [OSTI]

    Keil, David M.

    Summary 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 as part of a team 0f. Present results in the classroom 2Special Topics: Artificial Intelligence 9. Summary

  13. Artificial Intelligence and Literary Creativity Inside the Mind of Brutus, a Storytelling Machine

    E-Print Network [OSTI]

    Bringsjord, Selmer

    Artificial Intelligence and Literary Creativity Inside the Mind of Brutus, a Storytelling Machine Artificial Intelligence for permission to use, in Chapter ??, parts of the paper "The Case Against AI From . . . . . . . . . . . . . . xvi How Do You Build an Artificial Author? . . . . . . . . . . . xxi Why Build an Artificial Author

  14. Artificial Intelligence 170 (2006) 12511253 www.elsevier.com/locate/artint

    E-Print Network [OSTI]

    Spector, Lee

    2006-01-01

    Artificial Intelligence 170 (2006) 1251­1253 www.elsevier.com/locate/artint Evolution of artificial the nominal 1956 establishment of the field of artificial intelligence by centuries or, under some definitions of creating artificial intelligence would have to be something like the process of creating a waterwheel

  15. DOE Radiation Records Contacts List

    Broader source: Energy.gov [DOE]

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

  16. Basal cell carcinoma does metastasize

    E-Print Network [OSTI]

    Ozgediz, Doruk; Smith, EB; Zheng, Jie; Otero, Jose; Tabatabai, Z Laura; Corvera, Carlos U

    2008-01-01

    Basal cell carcinoma does metastasize Doruk Ozgediz MD 1 ,illustrates that, in fact, BCC does metastasize and if left

  17. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial. Vol 11, No. 36 (2007), pp. 9-17. ISSN: 1137-3601. AEPIA (http://www.aepia.org/revista).

    E-Print Network [OSTI]

    Pineda, Luis

    2007-01-01

    Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial. Vol 11, No. 36 (2007), pp. 9-17. ISSN: 1137-3601. © AEPIA (http://www.aepia.org/revista). ARTÍCULO The obligations

  18. or the artificial intelligence community, 2006 is a special year, for it was fifty years ago when, at Dartmouth College, the term "artificial intelligence" was first intro-

    E-Print Network [OSTI]

    Napp, Nils

    F or the artificial intelligence community, 2006 is a special year, for it was fifty years ago when, at Dartmouth College, the term "artificial intelligence" was first intro- duced as a topic for a summer on Artificial Intelligence, cele- brates the fifty years of growth and diversity of our field. It also includes

  19. 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

    equip our artificial animals with directable, virtual eyes capable of foveal vision. This aspect of ourPublished 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 Demetri Terzopoulos, Tamer

  20. 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

    is carried out using computer vision algo- rithms. We equip our artificial animals withdirectable, virtualPublished 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 Demetri Terzopoulos, Tamer

  1. DOE handbook electrical safety

    SciTech Connect (OSTI)

    1998-01-01

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

  2. DOE Challenge Home Program

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

    clients meet those criteria. Congratulations to both companies. Webinars: Tech talks on ducts and comprehensive building science DOE Challenge Home is a blueprint for zero energy...

  3. DOE G 414

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

    attention to quality assurance of safety software to ensure that safety systems and structures are properly designed and operate correctly. Recent DOE experience with safety...

  4. DOE Explosives Safety Manual

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

    1996-03-29

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

  5. DOE standard: Radiological control

    SciTech Connect (OSTI)

    Not Available

    1999-07-01

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

  6. Radiological Protection for DOE Activities

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

    1995-09-29

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

  7. DOE Explosives Safety Manual

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

    2006-01-09

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

  8. Lighting system combining daylight concentrators and an artificial source

    DOE Patents [OSTI]

    Bornstein, Jonathan G. (Miami, FL); Friedman, Peter S. (Toledo, OH)

    1985-01-01

    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.

  9. Artificial ciliary bundles with nano fiber tip links

    E-Print Network [OSTI]

    Asadnia, Mohsen; Miao, Jianmin; Triantafyllou, Michael

    2015-01-01

    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...

  10. Computers for artificial intelligence a technology assessment and forecast

    SciTech Connect (OSTI)

    Miller, R.K.

    1986-01-01

    This study reviews the development and current state-of-the-art in computers for artificial intelligence, including LISP machines, AI workstations, professional and engineering workstations, minicomputers, mainframes, and supercomputers. Major computer systems for AI applications are reviewed. The use of personal computers for expert system development is discussed, and AI software for the IBM PC, Texas Instrument Professional Computer, and Apple MacIntosh is presented. Current research aimed at developing a new computer for artificial intelligence is described, and future technological developments are discussed.

  11. DOE-STD-5506-2007 DOE STANDARD

    E-Print Network [OSTI]

    for use by all Department of Energy (DOE) and National Nuclear Security Administration (NNSA) sites and all contractors for DOE- owned or DOE-leased, Hazard Category 1, 2, or 3 nuclear facilities or nuclear

  12. Cholesterol enhances amyloid {beta} deposition in mouse retina by modulating the activities of A{beta}-regulating enzymes in retinal pigment epithelial cells

    SciTech Connect (OSTI)

    Wang, Jiying [Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8519 (Japan)] [Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8519 (Japan); Ohno-Matsui, Kyoko, E-mail: k.ohno.oph@tmd.ac.jp [Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8519 (Japan)] [Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8519 (Japan); Morita, Ikuo [Section of Cellular Physiological Chemistry, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8519 (Japan)] [Section of Cellular Physiological Chemistry, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8519 (Japan)

    2012-08-10

    Highlights: Black-Right-Pointing-Pointer Cholesterol-treated RPE produces more A{beta} than non-treated RPE. Black-Right-Pointing-Pointer Neprilysin expression and activity decreased in cholesterol-treated RPE. Black-Right-Pointing-Pointer {alpha}-Secretase expression and activity decreased in cholesterol-treated RPE. Black-Right-Pointing-Pointer Cholesterol-enriched diet induced subRPE deposits in aged mice. Black-Right-Pointing-Pointer A{beta} were present in cholesterol-enriched-diet-induced subRPE deposits in aged mice. -- Abstract: Subretinally-deposited amyloid {beta} (A{beta}) is a main contributor of developing age-related macular degeneration (AMD). However, the mechanism causing A{beta} deposition in AMD eyes is unknown. Hypercholesterolemia is a significant risk for developing AMD. Thus, we investigated the effects of cholesterol on A{beta} production in retinal pigment epithelial (RPE) cells in vitro and in the mouse retina in vivo. RPE cells isolated from senescent (12-month-old) C57BL/6 mice were treated with 10 {mu}g/ml cholesterol for 48 h. A{beta} amounts in culture supernatants were measured by ELISA. Activity and expression of enzymes and proteins that regulate A{beta} production were examined by activity assay and real time PCR. The retina of mice fed cholesterol-enriched diet was examined by transmission electron microscopy. Cholesterol significantly increased A{beta} production in cultured RPE cells. Activities of A{beta} degradation enzyme; neprilysin (NEP) and anti-amyloidogenic secretase; {alpha}-secretase were significantly decreased in cell lysates of cholesterol-treated RPE cells compared to non-treated cells, but there was no change in the activities of {beta}- or {gamma}-secretase. mRNA levels of NEP and {alpha}-secretase (ADAM10 and ADAM17) were significantly lower in cholesterol-treated RPE cells than non-treated cells. Senescent (12-month-old) mice fed cholesterol-enriched chow developed subRPE deposits containing A{beta}, whereas age-matched mice fed standard rodent chow diet did not. Activities and mRNA levels of NEP and {alpha}-secretase were significantly lower in native RPE cells freshly isolated from cholesterol-enriched chow fed mice compared to standard rodent chow fed mice. These findings suggest that cholesterol enhances subretinal A{beta} accumulation by modulating the activities of enzymes degrading and processing A{beta} in RPE cells in senescent subjects.

  13. DOE Policy on Decommissioning DOE Facilities Under CERCLA

    Broader source: Energy.gov [DOE]

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

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

    Office of Science (SC) Website

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

  15. Does Doctrine Drive Technology or Does Technology Drive Doctrine?

    E-Print Network [OSTI]

    Blasko, Dennis

    2010-01-01

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

  16. DOE Responses to DOE Challenge Home (formerly Builders Challenge...

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

    DOE Responses to DOE Challenge Home (formerly Builders Challenge) National Program Requirements Public Comments, a publication of the U.S. Department of Energy's Office of Energy...

  17. When Does Aid Conditionality Work?

    E-Print Network [OSTI]

    Montinola, Gabriella R.

    2010-01-01

    GR. Aid conditionality: does foreign aid support autocrats,New York: Routledge; 1998. Knack S. Does foreign aid promotePress; 2000. Remmer KL. Does foreign aid promote the

  18. Daylighting Calculation in DOE-2

    E-Print Network [OSTI]

    Winkelmann, F.C

    2013-01-01

    2.9) DAYLIGHTING CALCULATION IN DOE-2 Table of Contents 1.55 —-17:-.. LBL-11353 (III.2.9 only) EEB-DOE-2 83—3DAYLIGHTING CALCULATION IN DOE-2 Frederick C. Winkelmann

  19. DOE Corporate Operating Experience Program

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

    2011-04-08

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

  20. Echo Meadows Project Winter Artificial Recharge.

    SciTech Connect (OSTI)

    Ziari, Fred

    2002-12-19

    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.

  1. 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 ...

  2. Proposal to ARPA for Research on Artificial Intelligence at M.I.T., 1971-1972

    E-Print Network [OSTI]

    Minsky, Marvin

    1971-10-01

    The activities of the Artificial Intelligence laboratory can be viewed under three main aspects; (1) Artificial Intelligence- understanding the principles of making intelligent machines along the lines discusses in ...

  3. Experimental and artificial neural network modeling study on soot formation in premixed hydrocarbon flamesq

    E-Print Network [OSTI]

    Senkan, Selim M.

    Experimental and artificial neural network modeling study on soot formation in premixed hydrocarbon classical light scattering measurement techniques. The experimental data revealed that the soot properties rights reserved. Keywords: Soot; Hydrocarbon flames; Artificial neural networks 1. Introduction

  4. Artificial Intelligence, Story Generation and Literary Creativity: the State of the Art

    E-Print Network [OSTI]

    Bringsjord, Selmer

    Artificial Intelligence, Story Generation and Literary Creativity: the State of the Art this engineering would be like, by, in part, doing it. The result of our engineering is BRUTUS, an artificial

  5. The Artificial Intelligence (AI) program at the Univer-sity of Michigan comprises a multidisciplinary group

    E-Print Network [OSTI]

    Eustice, Ryan

    The Artificial Intelligence (AI) program at the Univer- sity of Michigan comprises in areas such as healthcare, electronic commerce, and finance. Artificial IntelligenceResearch Bob of intelligent systems. Current projects include research in rational deci- sion making, distributed systems

  6. 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

  7. Use of Artificial Neural Networks Process Analyzers: A Case Study

    E-Print Network [OSTI]

    Ghouti, Lahouari

    for this case study was obtained from SHARQ petrochemical company, Saudi Arabia. Four process variablesUse of Artificial Neural Networks Process Analyzers: A Case Study Al-Duwaish1 , H., Ghouti2 , L to predict O2 contents in a boiler at SHARQ petrochemical company in Saudi Arabia. The training data has been

  8. 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

  9. 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 performance based techniques that aim to improve the safety of neural networks for safety critical for safety assurance. As a result, neural networks are typically restricted to advisory roles in safety

  10. Catalyzed Molecule Replication in an Artificial Chemistry Thomas E. Portegys

    E-Print Network [OSTI]

    Portegys, Thomas E.

    Catalyzed Molecule Replication in an Artificial Chemistry Thomas E. Portegys Illinois State University Campus Box 5150 Normal, Illinois, USA 61790-5150 portegys@ilstu.edu Abstract This paper and Ikegami's autocatalytic membrane formation (1999), and lattice molecular systems (McMullin and Varela 1997

  11. Photovoltaics and Artificial Photosynthesis = Solar Electricity and Solar Fuel

    E-Print Network [OSTI]

    Saffman, Mark

    .4 TW US Electricity Consumption Electricity from the Sun is an ideal source of energy (fullyPhotovoltaics and Artificial Photosynthesis = Solar Electricity and Solar Fuel F.J. Himpsel, University of Wisconsin Madison #12;100100 km2 of solar cells could produce all the electricity for the US. 0

  12. Artificial Soiling of Photovoltaic Module Surfaces using Traceable Soil Components

    E-Print Network [OSTI]

    Artificial Soiling of Photovoltaic Module Surfaces using Traceable Soil Components Patrick D@sandia.gov Abstract--Effective evaluation and prediction of photovoltaic performance loss due to soiling requires types. I. INTRODUCTION Soiling is a significant source of energy loss in photovoltaic (PV) systems [1

  13. Computer Viruses as Artificial Life Eugene H. Spafford

    E-Print Network [OSTI]

    Somayaji, Anil

    Computer Viruses as Artificial Life Eugene H. Spafford Department of Computer Sciences Purdue in computer viruses since they first appeared in 1981, and especially in the past few years as they have reached epidemic numbers in many per- sonal computer environments. Viruses have been written about

  14. ON SOME PROPERTIES OF ARTIFICIAL FORAGING ANT COMMUNITIES

    E-Print Network [OSTI]

    de Lara, Juan

    and simulation of artificial foraging ant communities. Each virtual ant (vant) taking part in the simulation is modelled as an agent. The objective of each vant is to collect food for their community. Our aim, exchange of information can occur between colliding vants. We have used simulation and mathematical

  15. Liquid Crystalline Elastomers as Artificial Muscles P. E. Cladis

    E-Print Network [OSTI]

    Cladis, Patricia E.

    Liquid Crystalline Elastomers as Artificial Muscles P. E. Cladis Advanced Liquid Crystal Technologies, POB 1314, Summit, NJ 07902 USA Abstract We find that low molecular weight liquid crystalline cooperative effects acting over length scales larger than the typical mesh size of a liquid single crystalline

  16. Evolvable Self-Replicating Molecules in an Artificial Chemistry

    E-Print Network [OSTI]

    Turk, Greg

    -reproducing organizational form constructing itself in a simple environment and capable of evolution'. One motivation environment based on a sim- ple physics and chemistry that supports self-replicating molecules somewhat with [9] that artificial chemistries are a good medium in which to study early evolution. Keywords

  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. 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

  19. Photooxidation of Hg(0) in Artificial and Natural Waters

    E-Print Network [OSTI]

    Morel, François M. M.

    artificial and natural waters irradiated with a UV-B lamp. No change in Hg speciation was observed in dark waters could represent a net balance between Hg(II) photoreduction and Hg(0) photooxidation oxidized in the dark (7, 8). But it is not known iftheseresultsobtainedwithliquiddropsofHg(0)arerelevant

  20. Scripted Artificially Intelligent Basic Online Tactical Simulation Jesse D. Phillips+

    E-Print Network [OSTI]

    Dascalu, Sergiu

    Scripted Artificially Intelligent Basic Online Tactical Simulation Jesse D. Phillips+ Roger V.+ Department of Computer Science and Engineering+ CAVCaM University of Nevada, Reno Desert Research Institute of the concepts. This paper presents details of the idea, specification, design, and functionality of the Scripted

  1. Embodied Computation Applying the Physics of Computation to Artificial Morphogenesis

    E-Print Network [OSTI]

    MacLennan, Bruce

    Embodied Computation Applying the Physics of Computation to Artificial Morphogenesis Bruce J. Mac by exploiting their bodies and their physical environments as their own models. Embodied agents do not require emerge from an agent's purposeful interaction with its physical environment. Furthermore, the embodied

  2. ARTIFICIAL INTELLIGENCE 121 Interpreting Pictures of Polyhedral Scenes*

    E-Print Network [OSTI]

    Mackworth, Alan K.

    ARTIFICIAL INTELLIGENCE 121 Interpreting Pictures of Polyhedral Scenes* A. K. Mackworth Laboratory of predetermined interpretations of particular categories of picture junctions and corners. 1. Introduction One way to capture the meaning of pictures is to investigate the relationship between two domains: the picture

  3. 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

  4. Artificial Organs 28(10):911915, Blackwell Publishing, Inc.

    E-Print Network [OSTI]

    Antaki, James F.

    International Society for Artificial Organs2810911915Original ArticleINLET AND OUTLET DEVICES FOR ROTARY BLOOD of the International Soci- ety for Rotary Blood Pumps, held August 31­September 2, 2003, in Bad Oeynhausen, Germany. Inlet and Outlet Devices for Rotary Blood Pumps *Xinwei Song, *Houston G. Wood, *Paul E. Allaire, James

  5. Artificial nose sees smell Monday, 21 August 2000

    E-Print Network [OSTI]

    Suslick, Kenneth S.

    such as paper, plastic or glass with a series of dots of different dyes. The array colour changes after or toxins. Anna Salleh - ABC Science Online Page 2 of 2News in Science 21/08/00 Artificial nose sees smell 5

  6. DOE Collegiate Wind Competition

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy (DOE) Collegiate Wind Competition will take place concurrently with the 2014 AWEA WINDPOWER Conference and Exhibition in Las Vegas. Spectators are encouraged to attend...

  7. Kill the DOE?

    SciTech Connect (OSTI)

    NONE

    1995-01-01

    Much has been said recently about the future of DOE and the nuclear defense complex. The author has assembled the following information to inform readers of some of the things that have been said. DOE is even evaluating itself in an effort to head off some of the attack. A task force was formed at the request of the Department of Energy to consider alternative futures for the DOE national laboratories. The results of their year long effort were presented to DOE in early February. Of particular interest to some of the membership of the AGS are the recommendations in the area of national security. This article is a condensed version of this report, the Secretary of Energy`s Response, and some congressional testimony.

  8. 2014 DOE Sustainability Awards

    Broader source: Energy.gov [DOE]

    The 2014 U.S. Department of Energy (DOE) Sustainability Awards continues efforts to recognize teams and individuals for their outstanding contributions to the Department’s sustainability mission, including accomplishments in managing pollution, waste, energy, water, and vehicle fleets.

  9. Cameron Salony, DOE

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

    Month Celebrations Hosted by DOE Who: Andrea Ivory, a 2009 CNN Hero, is a breast cancer survivor who has established an awareness program to help women both detect and...

  10. DOE 2014 Biomass Conference

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  11. LOGIC AND ARTIFICIAL INTELLIGENCE Grad Seminar, Spring '95, 66-6943, 66-4963, 48-6244

    E-Print Network [OSTI]

    Bringsjord, Selmer

    LOGIC AND ARTIFICIAL INTELLIGENCE Grad Seminar, Spring '95, 66-6943, 66 one required text, Logical Foundations of Artificial Intelligence, by Genesereth and Nilsson (= G

  12. 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

  13. 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

  14. 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

  15. TUTORIAL: International Conference on Artificial Intelligence in Education 2009 Categorisation and Educational Benefits of

    E-Print Network [OSTI]

    Bull, Susan

    TUTORIAL: International Conference on Artificial Intelligence in Education 2009 Categorisation that are part of a full artificial intelligence in education system, and independent open learner models (where Framework. International Journal of Artificial Intelligence in Education 17(1), 89-120. #12;

  16. 5. Supervised learning D. Keil Artificial Intelligence 7/13 David Keil, Framingham State University

    E-Print Network [OSTI]

    Keil, David M.

    5. Supervised learning D. Keil Artificial Intelligence 7/13 David Keil, Framingham State University CSCI 300 Artificial Intelligence 5. Supervised learning and natural language 1. Supervised learning 2-language processing 1D. Keil Artificial Intelligence 5. Supervised learning 7/13 Inquiry · How do you learn ­facts

  17. A Client-Server Computational Tool for Integrated Artificial Intelligence Curriculum

    E-Print Network [OSTI]

    Holder, Lawrence B.

    A Client-Server Computational Tool for Integrated Artificial Intelligence Curriculum Lawrence B;2 ABSTRACT The goal of this project is to increase students' interest in Artificial Intelligence, as well environment. In this paper we describe the multimedia approach to teaching Artificial Intelligence classes

  18. Mathematics and AI NEU Math Circle, April 1, 2007, Oliver Knill Artificial intelligence

    E-Print Network [OSTI]

    Knill, Oliver

    Mathematics and AI NEU Math Circle, April 1, 2007, Oliver Knill Artificial intelligence Can are some problems types in artificial intelligence. Most of them are purely mathematical: · problem solving global warming, epidemics, supplies Moral: The field of artificial intelligence is extremely wide

  19. massachusetts institute of technology --artificial intelligence laboratory Intelligent Market-Making in

    E-Print Network [OSTI]

    Poggio, Tomaso

    @ MIT massachusetts institute of technology -- artificial intelligence laboratory Intelligent , m a 0 2 1 3 9 u s a -- w w w. a i . m i t . e d u #12;#12;Intelligent Market-Making in Artificial on Graduate Students #12;Intelligent Market-Making in Artificial Financial Markets by Sanmay Das Submitted

  20. Building Computational Agents using Neuronal Networks, Schema Theory and Artificial Intelligence1

    E-Print Network [OSTI]

    Weitzenfeld, Alfredo

    Building Computational Agents using Neuronal Networks, Schema Theory and Artificial Intelligence1 that the technology developed in our research fields (e.g., Computational Neurosci- ence, Artificial Intelligence Artificial Intelligence, and in Behavior-Based Robotics [1][2][3], in particular, when the aim is to build

  1. Sediment Dynamics Simulation via Cellular Automata Artificial Intelligence -SYNOPSIS 1.0 Dr. Juan M. Restrepo

    E-Print Network [OSTI]

    Fatkullin, Ibrahim

    Sediment Dynamics Simulation via Cellular Automata Artificial Intelligence - SYNOPSIS 1.0 Dr. Juan dynamics and artificial intelligence. Sediment Dynamics Sediment dynamics is the physics of sedimentary's work, and proved to be quite a task indeed. Artificial Intelligence Because this research project

  2. Affective Issues in the Search for Artificial Intelligence By Jason Aughenbaugh

    E-Print Network [OSTI]

    Affective Issues in the Search for Artificial Intelligence By Jason Aughenbaugh Jma;1 Recent studies in robotics, artificial intelligence, and the emerging field of affective computing have, but such endeavors into artificial intelligence, or AI, have until recently only yielded computers with specialized

  3. Artificial Intelligence 117 (2000) 277296 On agent-based software engineering $

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    2000-01-01

    Artificial Intelligence 117 (2000) 277­296 On agent-based software engineering $ Nicholas R both for Artificial Intelligence (AI) and, more generally, Computer Science. It has the potential lecture that was delivered at the Sixteenth International Joint Conference on Artificial Intelligence

  4. 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. In that structure processing modules become specialized. We argue that artificial intelligence programs should

  5. Artificial Intelligence Review 12: 393427, 1998. 393 c 1998 Kluwer Academic Publishers. Printed in the Netherlands.

    E-Print Network [OSTI]

    Chater, Nick

    Artificial Intelligence Review 12: 393­427, 1998. 393 c 1998 Kluwer Academic Publishers. Printed a psychological and a CBR perspective. Key words: Artificial Intelligence and Law, case-based reasoning, exemplar and psychological research, focussing on similarity in human and artificial case-based reasoning in law. We argue

  6. Introduction D, Keil Artificial Intelligence 7/13 David Keil, Framingham State University

    E-Print Network [OSTI]

    Keil, David M.

    Introduction D, Keil Artificial Intelligence 7/13 David Keil, Framingham State University CSCI 300 Artificial Intelligence Introduction 1. What this course offers 2. Course plan 3. How the course delivers 1D. Keil CSCI 300 Artificial Intelligence 7/13 Invitation · Would you like to explore the limits

  7. Unifying Undergraduate Artificial Intelligence Robotics: Layers Of Abstraction Over Two Channels

    E-Print Network [OSTI]

    Crabbe, Frederick

    Unifying Undergraduate Artificial Intelligence Robotics: Layers Of Abstraction Over Two Channels Annapolis, Maryland 21402 Abstract From a Computer Science and Artificial Intelligence perspec- tive to undergraduates. The paper presents an alternative synthesis of the various sub-fields of Artificial Intelligence

  8. Artificial Intelligence 171 (2007) 365377 www.elsevier.com/locate/artint

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    2007-01-01

    Artificial Intelligence 171 (2007) 365­377 www.elsevier.com/locate/artint If multi-agent learning, and at least two books ([20] and [54]). In Artificial Intelligence (AI) the history of single-agent learning. / Artificial Intelligence 171 (2007) 365­377 something of a vengeance. If in 2003 one could describe the AI

  9. HighLevel Perception, Representation, and Analogy: A Critique of Artificial Intelligence Methodology

    E-Print Network [OSTI]

    Indiana University

    High­Level Perception, Representation, and Analogy: A Critique of Artificial Intelligence of Experimental and Theoretical Artificial Intelligence. #12; High­Level Perception, Representation, and Analogy: A Critique of Artificial Intelligence Methodology Abstract High­level perception---the process of making

  10. 4. Uncertainty D. Keil Artificial Intelligence 7/13 David Keil, Framingham State University

    E-Print Network [OSTI]

    Keil, David M.

    4. Uncertainty D. Keil Artificial Intelligence 7/13 David Keil, Framingham State University CSCI 300 Artificial Intelligence 4. Uncertainty and belief 1. Acting under uncertainty 2. Probability CSCI 300 Artificial Intelligence 4. Uncertainty 7/13 Inquiry · Is probabilistic reasoning part

  11. Artificial Intelligence 173 (2009) 240257 Contents lists available at ScienceDirect

    E-Print Network [OSTI]

    Nie, Qing

    2009-01-01

    Artificial Intelligence 173 (2009) 240­257 Contents lists available at ScienceDirect Artificial.V. All rights reserved. doi:10.1016/j.artint.2008.11.002 #12;Y. Zhou et al. / Artificial Intelligence 173 Intelligence www.elsevier.com/locate/artint A comparative runtime analysis of heuristic algorithms

  12. Artificial Intelligence 148 (2003) 1152 www.elsevier.com/locate/artint

    E-Print Network [OSTI]

    St Andrews, University of

    2003-01-01

    Artificial Intelligence 148 (2003) 11­52 www.elsevier.com/locate/artint Fuzzy rrDFCSP and planning in revised form 1 September 2002 Abstract Constraint satisfaction is a fundamental Artificial Intelligence-3702(03)00020-1 #12;12 I. Miguel, Q. Shen / Artificial Intelligence 148 (2003) 11­52 combinations. The following

  13. Distant touch hydrodynamic imaging with an artificial lateral line Coombs, Douglas L. Jones, and Chang Liu

    E-Print Network [OSTI]

    Jones, Douglas L.

    augment sonar and vision systems. We show that the artificial lateral line can successfully perform dipoleDistant touch hydrodynamic imaging with an artificial lateral line Coombs, Douglas L. Jones reprints, see: Notes: #12;Distant touch hydrodynamic imaging with an artificial lateral line Yingchen Yang

  14. 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

  15. 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

  16. Modeling light-driven proton pumps in artificial photosynthetic reaction centers

    E-Print Network [OSTI]

    Nori, Franco

    Modeling light-driven proton pumps in artificial photosynthetic reaction centers Pulak Kumar Ghosh in artificial reaction centers. The model contains a molecular triad with four electron states i.e., one donor transduction processes in the laboratory.1­7,9­12 A convenient approach to photosynthesis in artificial

  17. A role for Computer Science in Artificial Life Richard K. Belew

    E-Print Network [OSTI]

    Belew, Richard K.

    of carbon­based, ``biological life'' (BLife) with which we have experience on this planet. In truth, however the working definition of ALife. A useful parallel can be drawn, between artificial life and artificial intelA role for Computer Science in Artificial Life Richard K. Belew Published as ``Un ruolo per la

  18. To appear in: Embodied Artificial Intelligence (2004) Springer-Verlag Removing some `A' from AI

    E-Print Network [OSTI]

    2004-01-01

    To appear in: Embodied Artificial Intelligence (2004) Springer-Verlag Removing some `A' from AI://www.ece.gatech.edu/research/neuro/ #12;EMBODIED ARTIFICIAL INTELLIGENCE (pre-print) Springer-Verlag 2 tissue and engineered systems. We to AI since the advent of the perceptron and consequent artificial neural networks, developed using

  19. Annals of Mathematics and Artificial Intelligence 28 (2000) 1720 17 Perspectives

    E-Print Network [OSTI]

    Greenberg, Harvey J.

    2000-01-01

    Annals of Mathematics and Artificial Intelligence 28 (2000) 17­20 17 Perspectives A prospective on mathematics and artificial intelligence: Problem solving = Modeling + Theorem proving Harvey J. Greenberg and artificial intelligence that I see as having been the most important over the past 10 years and that I think

  20. DOE Corporate Operating Experience Program

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

    2006-06-12

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

  1. Emerging DOE partnerships threatened

    SciTech Connect (OSTI)

    Fairley, P.

    1996-06-26

    At CW press time the house was considering a 10% cut in Department of Energy (DOE) conservation programs and a 14% cut in DOE funding for fossil fuel R&D. The cuts show that, while easing off this year on efforts to pare back EPA, House Republicans have not given up the fight over federal technology programs. House Republicans consider federal involvement in R&D {open_quotes}corporate welfare,{close_quotes} and, while the Commerce Department`s Advanced Technology Program (ATP) has been the lightning rod for their criticism, DOE programs have also been targeted for reduction. The $499-million conservation funding level contemplated by the House is 33% below the President`s request and follows an equally large cut last year.

  2. DOE/ID-Number

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2 DOE HQSiteo n n e v i l li DOE/FETC/TR--98-01A

  3. DOE/CF-0086

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: AlternativeCommunication &20081-929-200499 DOE-STD-3025-99 March 01,1-20024-99 DOE-TSL-4-993

  4. DOE ECR Report 2006

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann Jackson About UsEnergyofSoftware EngineeringofCleanDoes Not Accept Initial SPR Bids DOE|

  5. DOE Employment - Hanford Site

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB Packet Hanford AdvisoryEnergyManagement DOE Employment About Us DOE

  6. DOE/CF-0059

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data Center HomeVehicleDepartment ofGraphics » DOE Logo, Seal and WordDOE59

  7. A Master equation approach to modeling an artificial protein motor

    E-Print Network [OSTI]

    Nathan J. Kuwada; Gerhard A. Blab; Heiner Linke

    2010-04-07

    Linear bio-molecular motors move unidirectionally along a track by coordinating several different processes, such as fuel (ATP) capture, hydrolysis, conformational changes, binding and unbinding from a track, and center-of-mass diffusion. A better understanding of the interdependencies between these processes, which take place over a wide range of different time scales, would help elucidate the general operational principles of molecular motors. Artificial molecular motors present a unique opportunity for such a study because motor structure and function are a priori known. Here we describe use of a Master equation approach, integrated with input from Langevin and molecular dynamics modeling, to stochastically model a molecular motor across many time scales. We apply this approach to a specific concept for an artificial protein motor, the Tumbleweed.

  8. DOE enforcement program roles and responsibilities: DOE handbook

    SciTech Connect (OSTI)

    1995-08-01

    The Price-Anderson Act provides indemnification to DOE contractors who manage and conduct nuclear activities in the DOE complex. The government acts as an insurer for these contractors against any findings of liability from the nuclear activities of the contractor within the scope of its contract. 10 CFR Part 820 establishes the legal framework for implementing DOE`s Nuclear Safety Enforcement Program. Integration with other DOE organizations and programs would assure that the enforcement process properly considers the actual or potential safety significance of a violation when determining an appropriate enforcement sanction. Achieving a proactive contractor compliance assurance rather than a heavy enforcement hand, will require a foundation of cooperation and teamwork across DOE organizations. This handbook identifies the areas of interface for the DOE Enforcement Program and provides guidance on roles and responsibilities for the key DOE organizational areas. It complements DOE-HDBK-1087-95 and 1089-95.

  9. AUTOMATED DEFECT CLASSIFICATION USING AN ARTIFICIAL NEURAL NETWORK

    SciTech Connect (OSTI)

    Chady, T.; Caryk, M. [Szczecin University of Technology, Department of Electrical Engineering (Poland); Piekarczyk, B. [Technic-Control, Szczecin (Poland)

    2009-03-03

    The automated defect classification algorithm based on artificial neural network with multilayer backpropagation structure was utilized. The selected features of flaws were used as input data. In order to train the neural network it is necessary to prepare learning data which is representative database of defects. Database preparation requires the following steps: image acquisition and pre-processing, image enhancement, defect detection and feature extraction. The real digital radiographs of welded parts of a ship were used for this purpose.

  10. 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...

  11. Chaos and Nonlinear Dynamics in a Quantum Artificial Economy

    E-Print Network [OSTI]

    Carlos Pedro Gonçalves

    2012-02-29

    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.

  12. Laboratory rearing of the cottonwood twig borer on artificial diets 

    E-Print Network [OSTI]

    Mastro, Victory Carl

    1973-01-01

    several advantages over rearing them on their natural food such as: (1) simplification of the maintenance of an insect colony; (2) a capability to rear insects during the dormant season; (3) reduction in contamination from natural food; (4) production...) has successfully reared the cottonwood twig borer on its natural food. The purpose of this thesis is to describe attempts to rear the insect on artificial diets and develop a rearing technique for handling various stages of the insect. The research...

  13. Emergence of Artificial Photons in an Optical Lattice

    SciTech Connect (OSTI)

    Tewari, Sumanta; Scarola, V. W.; Sarma, S. Das; Senthil, T.

    2006-11-17

    We establish the theoretical feasibility of direct analog simulation of the compact U(1) lattice gauge theories in optical lattices with dipolar bosons. We discuss the realizability of the topological Coulomb phase in extended Bose-Hubbard models in several optical lattice geometries. We predict the testable signatures of this emergent phase in noise correlation measurements, thus suggesting the possible emergence of artificial light in optical lattices.

  14. Extension of DOE Directives on Security

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

    2002-05-06

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

  15. Does Smoothing Matter?

    E-Print Network [OSTI]

    Martin Rocek; Patrick van Nieuwenhuizen

    2011-03-29

    We study how inhomogeneities modify large scale parameters in General Relativity. For a particular model, we obtain exact results: we compare an infinite string of extremal black holes to a corresponding smooth line with the same mass and charge in five dimensions. We find that the effective energy density does not differ significantly.

  16. DOE-TSPP-9, Maintenance of DOE Technical Standards - August 1...

    Energy Savers [EERE]

    DOE-TSPP-9, Maintenance of DOE Technical Standards - August 1, 2000 DOE-TSPP-9, Maintenance of DOE Technical Standards - August 1, 2000 Technical Standards Program Procedures...

  17. Galvin Electricity Initiative DOE RFI DOE RFI 2010-23251: Addressing...

    Office of Environmental Management (EM)

    Galvin Electricity Initiative DOE RFI DOE RFI 2010-23251: Addressing Policy and Logistical Challenges to Smart Grid Implementation Galvin Electricity Initiative DOE RFI DOE RFI...

  18. Evaluating the performance of two neutron spectrum unfolding codes based on iterative procedures and artificial neural networks

    SciTech Connect (OSTI)

    Ortiz-Rodriguez, J. M.; Reyes Alfaro, A.; Reyes Haro, A.; Solis Sanches, L. O.; Miranda, R. Castaneda; Cervantes Viramontes, J. M. [Universidad Autonoma de Zacatecas, Unidad Academica de Ingenieria Electrica. Av. Ramon Lopez Velarde 801. Col. Centro Zacatecas, Zac (Mexico); Vega-Carrillo, H. R. [Universidad Autonoma de Zacatecas, Unidad Academica de Ingenieria Electrica. Av. Ramon Lopez Velarde 801. Col. Centro Zacatecas, Zac., Mexico. and Unidad Academica de Estudios Nucleares. C. Cip (Mexico)

    2013-07-03

    In this work the performance of two neutron spectrum unfolding codes based on iterative procedures and artificial neural networks is evaluated. The first one code based on traditional iterative procedures and called Neutron spectrometry and dosimetry from the Universidad Autonoma de Zacatecas (NSDUAZ) use the SPUNIT iterative algorithm and was designed to unfold neutron spectrum and calculate 15 dosimetric quantities and 7 IAEA survey meters. The main feature of this code is the automated selection of the initial guess spectrum trough a compendium of neutron spectrum compiled by the IAEA. The second one code known as Neutron spectrometry and dosimetry with artificial neural networks (NDSann) is a code designed using neural nets technology. The artificial intelligence approach of neural net does not solve mathematical equations. By using the knowledge stored at synaptic weights on a neural net properly trained, the code is capable to unfold neutron spectrum and to simultaneously calculate 15 dosimetric quantities, needing as entrance data, only the rate counts measured with a Bonner spheres system. Similarities of both NSDUAZ and NSDann codes are: they follow the same easy and intuitive user's philosophy and were designed in a graphical interface under the LabVIEW programming environment. Both codes unfold the neutron spectrum expressed in 60 energy bins, calculate 15 dosimetric quantities and generate a full report in HTML format. Differences of these codes are: NSDUAZ code was designed using classical iterative approaches and needs an initial guess spectrum in order to initiate the iterative procedure. In NSDUAZ, a programming routine was designed to calculate 7 IAEA instrument survey meters using the fluence-dose conversion coefficients. NSDann code use artificial neural networks for solving the ill-conditioned equation system of neutron spectrometry problem through synaptic weights of a properly trained neural network. Contrary to iterative procedures, in neural net approach it is possible to reduce the rate counts used to unfold the neutron spectrum. To evaluate these codes a computer tool called Neutron Spectrometry and dosimetry computer tool was designed. The results obtained with this package are showed. The codes here mentioned are freely available upon request to the authors.

  19. DOE Challenge Home Label Methodology

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

    the core value messages of the DOE Challenge Home The model for the label compares building science and quality measures of a DOE Challenge Home in six major categories to both...

  20. DOE 2010 occupational radiation exposure

    SciTech Connect (OSTI)

    none,

    2011-11-01

    The U.S. Department of Energy (DOE) Office of Analysis within the Office of Health, Safety and Security (HSS) publishes the annual DOE Occupational Radiation Exposure Report to provide an overview of the status of radiation protection practices at DOE.* The DOE 2010 Occupational Radiation Exposure Report provides an evaluation of DOE-wide performance regarding compliance with DOE Part 835 dose limits and as low as reasonably achievable (ALARA) process requirements. In addition, the report provides data to DOE organizations responsible for developing policies for protection of individuals from the effects of radiation. The report provides a summary and an analysis of occupational radiation exposure information from the monitoring of individuals involved in DOE activities. The occupational radiation exposure information is analyzed in terms of aggregate data, dose to individuals, and dose by site over the past 5 years.

  1. DOE: Support Implementation of EEOICPA

    Broader source: Energy.gov [DOE]

    DOE’s primary role in the EEOICPA is to provide records to DOL, NIOSH and DOJ, to support claim processing, dose reconstruction and ultimately claim adjudication. The worker records provided by...

  2. COORDINATION OF DOE TECHNICAL STANDARDS

    Broader source: Energy.gov [DOE]

    PurposeThis procedure provides guidance on the formal coordination of DOE Technical Standards in the DOE Technical Standards Program (TSP). The purpose of coordination of draft technical standards...

  3. DOE Energy Exchange

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based| Department ofRefrigerators | Department DOE Energy Exchange Ms. Amanda

  4. LIQUEFACTION EVALUATIONS AT DOE SITES

    Broader source: Energy.gov [DOE]

    Liquefaction Evaluations at DOE Sites M. Lewis, M. McHood, R. Williams, B. Gutierrez October 25, 2011

  5. Liquefaction Evaluations at DOE Sites

    Office of Environmental Management (EM)

    Background Purpose and Objective Liquefaction Methods Site Evaluations Aging Conclusions 2 Background 3 Liquefaction at DOE Sites Background Liquefaction...

  6. DOE-Idaho's Packaging and Transportation Perspective

    Office of Environmental Management (EM)

    Idaho's Packaging and T t ti P ti Transportation Perspective Richard Provencher Manager DOE Idaho Operations Office DOE Idaho Operations Office Presented to the DOE National...

  7. Does Bankruptcy Protection Harm the Airline Industry?

    E-Print Network [OSTI]

    Lee, Hwa Ryung

    2009-01-01

    Does Bankruptcy Protection Harm the Airline Industry?lower fare during bankruptcy does not necessarily mean thatof this opportunity and how does the resulting change a¤ect

  8. Does Customer Auditing Help Chinese Workers?

    E-Print Network [OSTI]

    He, Goujun; Perloff, Jeffrey M.

    2012-01-01

    and Alberto Brause. 2007. Does monitoring improve labourDoes Customer Auditing Help Chinese Workers? Guojun He* andworkers well-being. Auditing does not affect the suppliers’

  9. Does Management Matter? Evidence from India

    E-Print Network [OSTI]

    Bloom, Nicholas; Eifert, Benn; Mahajan, Aprajit; McKenzie, David; Roberts, John

    2012-01-01

    DOES MANAGEMENT MATTER? EVIDENCE FROM INDIA Nicholas Bloombadly managed? Our experiment does not directly answer thisworks, imagine a plant that does not record quality defects.

  10. Does Shareholder Voting Reflect Shareholder Preferences?

    E-Print Network [OSTI]

    Listokin, Yair Jason

    2007-01-01

    =980422. Kamar, Ehud. 2006. “Does Shareholder Voting onDoes Shareholder Voting Reflect Shareholder Preferences?contests. The literature that does exist is methodologically

  11. Does Mixing Make Residential Ventilation More Effective?

    E-Print Network [OSTI]

    Sherman, Max

    2011-01-01

    Does Mixing Make Residential Ventilation More Effective? Maxmanufacturer, or otherwise, does not necessarily constitutethe University of California. Does Mixing Make Residential

  12. 2014 DOE Scorecard | Department of Energy

    Office of Environmental Management (EM)

    DOE Scorecard 2014 DOE Scorecard Office of Management and Budget (OMB) Scorecard reporting Department of Energy sustainability achievements for fiscal year 2014. 2014 DOE Scorecard...

  13. Hesh Ansari DOE Energy Information Administration HEADQUARTERS

    Energy Savers [EERE]

    Laboratory Jurgis Paliulionis DOE Office of Science Argonne National Laboratory Gail Penny DOE Office of Science Brookhaven Site Office Paul Philp DOE Office of Science Fermi...

  14. 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)

    2014-06-09

    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.

  15. Communication: Separable potential energy surfaces from multiplicative artificial neural networks

    SciTech Connect (OSTI)

    Koch, Werner, E-mail: wkoch@thethirdrock.net; Zhang, Dong H. [State Key Laboratory of Molecular Reaction Dynamics and Center for Theoretical Computational Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian (China)

    2014-07-14

    We present a potential energy surface fitting scheme based on multiplicative artificial neural networks. It has the sum of products form required for efficient computation of the dynamics of multidimensional quantum systems with the multi configuration time dependent Hartree method. Moreover, it results in analytic potential energy matrix elements when combined with quantum dynamics methods using Gaussian basis functions, eliminating the need for a local harmonic approximation. Scaling behavior with respect to the complexity of the potential as well as the requested accuracy is discussed.

  16. Artificial films mimic myelin sheath in new research

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O O DBiomass and Biofuels Biomass and Biofuels FindArtificial

  17. DNA-Directed Artificial Light-Harvesting Antenna

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB Packet Hanford Advisory Board6/23/2014DLFMDNA-Directed Artificial

  18. De novo design of functional proteins: Toward artificial hydrogenases

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB Packet HanfordDOEDanielDe novo Design of an Artificial

  19. 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

    2006-01-01

    J.W. : Electronic Nose Based Tea Quality Standardization.Tea Classification Based on Artificial Olfaction Usingof elec- tronic nose-brain for tea classification using the

  20. Bacterial artificial chromosome derived simian varicella virus is pathogenic in vivo

    E-Print Network [OSTI]

    2013-01-01

    E: Regulation of macrophage-derived chemokine (MDC, CCL22)artificial chromosome derived simian varicella virus isartificial chromosome derived simian varicella virus is

  1. Magnetically-actuated artificial cilia for microfluidic propulsion

    E-Print Network [OSTI]

    Khaderi, S N; Anderson, P D; Ioan, D; Toonder, J M J den; Onck, P R

    2009-01-01

    Natural cilia are hair-like microtubule-based structures that are able to move fluid at low Reynolds number through asymmetric motion. In this paper we follow a biomimetic approach to design artificial cilia lining the inner surface of microfluidic channels with the goal to propel fluid. The artificial cilia consist of polymer films filled with magnetic nanoparticles. The asymmetric, non-reciprocating motion is generated by tuning an external magnetic field. To obtain the magnetic field and associated magnetization local to the cilia we solve the Maxwell equations, from which the magnetic torques can be deduced. To obtain the ciliary motion we solve the dynamic equations of motion which are then fully coupled to the fluid dynamic equations that describe fluid flow around the cilia. By doing so we show that by properly tuning the applied magnetic field, asymmetric ciliary motion can be generated that is able to propel fluid in a microchannel. The results are presented in terms of three dimensionless parameters...

  2. DOE FOIA Request Form

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost Ground8DepartmentJayCapture2 DOE F

  3. DOE Review Umar Vanderbilt

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2 DOE HQ F 1410.2EnergyReleasing

  4. DOE/BP-3828

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2 DOE HQSiteo n n e v i l l e P o w e r A d m i

  5. DOE/BP-4674

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2 DOE HQSiteo n n e v i l l e P o w e r A d m i

  6. DOE/EA-XXXX

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2 DOE HQSiteo n n e v i l l e P o w e r49

  7. DOE/ER-0442

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2 DOE HQSiteo n n e v i l l e2Q)1382 THE HUMAN12

  8. DOE/ES-0004

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2 DOE HQSiteo n n e v i l l e2Q)1382lviA,'{ '

  9. DOE/El+0435

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2 DOE HQSiteo n n e v i l l

  10. Discussion Draft, DOE Framework

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalentLaboratory | National NuclearDiscoveringDiscrete FractureDraft, DOE

  11. DOE/EA-2024

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergy HeadquartersFuel Cycle |3-93 DOE-STD-1053-931098DepartmentStandards | DepartmentEA051424

  12. DOE/ID-Number

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB Packet HanfordDOE ProjectREMOTE-HANDLED TRU76 Idaho National

  13. DOE/ID-Number

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB Packet HanfordDOE ProjectREMOTE-HANDLED TRU76 Idaho National822

  14. Microsoft Word - DOE copy

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i nAand DOE SafetyofDepartment of EnergyNorthern PassThisSTATEMENT

  15. About | DOE Data Explorer

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal GasAdministration Medal01Technical Information U.S. FederalAECAbout About DOE Data

  16. Feedback | DOE PAGES

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal GasAdministration Medal01TechnicalScientific andScientificDOE DataPublic Access Feedback

  17. DOE FILE NO.

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouthReport for the t-) S/,,5 'a C O M P R E H E N S I V E R A D0 DOE

  18. Home | DOE Data Explorer

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you notHeat Pumps Heat Pumps AnAbout Energy.gov »PublicHomeHeatingDOE

  19. DOE F 284

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i pState Efficiency,EnergyProgrammatic Environmental4)j U.S.DOE-284

  20. DOE F 5634

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i pState Efficiency,EnergyProgrammaticFEDERAL(09/2012) Replaces DOE F

  1. DOE G 414

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i pStateDOE Federal Aviation Professional Awards More14Lynchburg, VA.

  2. DOE NEPA Compliance Officers

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i pStateDOE FederalThe Department of Energy thisResearch Initiative |NEPA

  3. DOE TechLine

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i pStateDOE FederalTheof Energy has signedNewsletterannounced

  4. DOE Transmission Workshop

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i pStateDOE FederalTheofHeyeck, AEP, Sr. Vice President, Transmission

  5. DOE/CF-0073

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based| Department8, 20153 METHODS DERIVATION-2013,3 DOE/CF-0073 Volume 3 Printed

  6. DOE/EA-2014

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based| Department8, 20153 METHODS DERIVATION-2013,3 DOE/CF-0073EA Environmental

  7. DOE/EA-2014

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based| Department8, 20153 METHODS DERIVATION-2013,3 DOE/CF-0073EA Environmental

  8. DOE/EIS-006

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based| Department8, 20153 METHODS DERIVATION-2013,3 DOE/CF-0073EA Environmental6

  9. DOE O 451

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergy Webinar:IAbout Us »Buildings DOEDOE FCalculationDOE CFR42.1AO

  10. DOE/CF-0084

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergy Webinar:IAbout Us| Department of EnergyOctoberDOE-Wide NEPA4

  11. DOE/CF-0085

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergy Webinar:IAbout Us| Department of EnergyOctoberDOE-Wide NEPA42

  12. DOE/CF-0086

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergy Webinar:IAbout Us| Department of EnergyOctoberDOE-Wide NEPA42

  13. DOE/CF-0088

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergy Webinar:IAbout Us| Department of EnergyOctoberDOE-Wide

  14. DOE/CF-0089

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergy Webinar:IAbout Us| Department of EnergyOctoberDOE-Wide9

  15. DOE/CF-0090

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergy Webinar:IAbout Us| Department of EnergyOctoberDOE-Wide90

  16. CRAD, Feedback and Continuous Improvement - DOE Headquarters...

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

    - DOE Headquarters - December 4, 2007 More Documents & Publications CRAD, Feedback and Continuous Improvement - DOE Headquarters - December 4, 2007 Differing Professional...

  17. ANS Standards to Support DOE NPH Design

    Office of Energy Efficiency and Renewable Energy (EERE)

    ANS Standards to Support DOE NPH Design DOE NPH Workshop, Germantown, MD Carl Mazzola, CFS October 22, 2014

  18. doe energy innovation hubs | netl.doe.gov

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

    DOE Energy Innovation Hubs The U.S. Department of Energy's Energy Innovation Hubs initiative addresses research challenges with potentially high impact on our national energy...

  19. DOE Announces Publication of Three Reports by the DOE Electricity...

    Energy Savers [EERE]

    These reports review challenges facing DOE and the Nation in many important electricity areas, and include recommendations for policy and program initiatives. They...

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

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

    Awards Newsletter highlights the recipients of the U.S. Department of Energy (DOE) Sustainability Performance Office (SPO) 2013 Sustainability Awards. 2013spotlight.pdf...

  1. Logistic Regression and Artificial Neural Networks for Classification of Ovarian Tumors

    E-Print Network [OSTI]

    Logistic Regression and Artificial Neural Networks for Classification of Ovarian Tumors C. Lu1 , J to generate and evaluate both logistic regression models and artificial neural network (ANN) models to predict, including explorative univariate and multivariate analysis, and the development of the logistic regression

  2. Extending the Scope of the Student Model Dept. of Artificial Intelligence

    E-Print Network [OSTI]

    Bull, Susan

    Extending the Scope of the Student Model Susan Bull Dept. of Artificial Intelligence University University Lancaster LA1 4YR Helen Pain Dept. of Artificial Intelligence University of Edinburgh 80 South material. As an example of this approach we describe the student model of an intelligent computer assisted

  3. Intelligent Market-Making in Artificial Financial A.B. Computer Science

    E-Print Network [OSTI]

    Poggio, Tomaso

    Intelligent Market-Making in Artificial Financial Markets by Sanmay Das A.B. Computer Science by . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Arthur C. Smith Chairman, Department Committee on Graduate Students #12;2 #12;Intelligent Market-Making in Artificial Financial Markets by Sanmay Das Submitted to the Department of Electrical Engineering and Computer

  4. Artificial Markets and Intelligent Agents S.B. Massachusetts Institute of Technology (1995)

    E-Print Network [OSTI]

    Poggio, Tomaso

    1995-01-01

    Artificial Markets and Intelligent Agents by Tung Chan S.B. Massachusetts Institute of Technology. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Arthur C. Smith Chairman, Departmental Committee on Graduate Students #12;#12;Artificial Markets and Intelligent Agents by Tung Chan Submitted to the Department of Electrical Engineering and Computer Science

  5. Physical Layer Security with Artificial Noise: Secrecy Capacity and Optimal Power Allocation

    E-Print Network [OSTI]

    Zhou, Xiangyun "Sean"

    as the objective function to optimize transmit power allocation between the information signal and the artificial expression as the objective function, we investigate the optimal transmit power allocation betweenPhysical Layer Security with Artificial Noise: Secrecy Capacity and Optimal Power Allocation

  6. A Soft Wearable Robotic Device for Active Knee Motions using Flat Pneumatic Artificial Muscles

    E-Print Network [OSTI]

    Park, Yong-Lae

    A Soft Wearable Robotic Device for Active Knee Motions using Flat Pneumatic Artificial Muscles Yong present the design of a soft wearable robotic device composed of elastomeric artificial muscle actuators elastomer muscles were employed for assisted knee extension and flexion. The robotic device was tested

  7. Growing Artificial Societies: Social Science from the Bottom Up. By Joshua M. Epstein and Robert Axtell.

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Growing Artificial Societies: Social Science from the Bottom Up. By Joshua M. Epstein and Robert be passed in modified form to descendants. Such an artificial society can grow itself over time, with large) and a vision level that helps it search for sugar. Any sugar collected by an agent in excess of its metabolic

  8. BINOCULAR INTERACTION IN STRIATE CORTEX OF KITTENS REARED WITH ARTIFICIAL SQUINT'

    E-Print Network [OSTI]

    Hubel, David

    BINOCULAR INTERACTION IN STRIATE CORTEX OF KITTENS REARED WITH ARTIFICIAL SQUINT' DAVID H. HUBEL (strabismus or nonparallel visual axes) may suffer a deterioration of vision in one eye (amblyopia ex anopsia. An artificial squint therefore seemed to provide a possible means of obtaining a cortical defect while sparing

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

    E-Print Network [OSTI]

    Verleysen, Michel

    Prediction of visual perceptions with artificial neural networks in a visual prosthesis based visual prosthesis in order to restore partial vision to the blind. In this paper, an attempt been published in [1]. We propose to use artificial neural networks (ANNs) for predicting the features

  10. "In Vivo" Pose Estimation of Artificial Knee Implants Using Computer Vision

    E-Print Network [OSTI]

    Hoff, William A.

    "In Vivo" Pose Estimation of Artificial Knee Implants Using Computer Vision Scott A. Walker William an algorithm to estimate the position and orientation (pose) of artificial knee implants from fluoroscopy images using computer vision. The resulting information is used to determine contact position from "in

  11. Demonstration of artificial visual percepts generated through thalamic microstimulation John S. Pezaris, and R. Clay Reid

    E-Print Network [OSTI]

    Reid, R. Clay

    Demonstration of artificial visual percepts generated through thalamic microstimulation John S.pnas.org/misc/reprints.shtml To order reprints, see: Notes: #12;Demonstration of artificial visual percepts generated through thalamic into the visual path, the hope is that an analogue of vision can be created. Research efforts in visual prostheses

  12. PREPRINT, published in International Journal of Pattern Recognition and Artificial Intelligence,

    E-Print Network [OSTI]

    Würtz, Rolf P.

    PREPRINT, published in International Journal of Pattern Recognition and Artificial Intelligence. Similarly in computer vision, where the space in which tasks are performed is usually differ- ent from Recognition and Artificial Intelligence, Vol. 17, No. 7, pages 1279­1302 (2003) 1280 Tino Lourens and Rolf P

  13. 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) The origin of light is a unsolved mystery in nature. Recently, it was suggested that light may originate from magnetic/electric dipoles in 2D and 3D lattices. We show that our models contain an artificial light

  14. Building the Santa Fe Artificial Stock Market Blake LeBaron

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Building the Santa Fe Artificial Stock Market Blake LeBaron Brandeis University June 2002 Abstract This short summary presents an insider's look at the construction of the Santa Fe artificial stock of the directions that researchers have been taking is the use of agent-based financial markets. These "bottom- up

  15. Are artificial opals non-close-packed fcc structures? F. Garca-Santamaraa

    E-Print Network [OSTI]

    Braun, Paul

    Are artificial opals non-close-packed fcc structures? F. García-Santamaríaa and P. V. Braun experimental method to accurately measure the volume fraction of artificial opals. The results are modeled in the opal interstices with the optical properties may need revision, especially in the case of high

  16. PDGFBB promotes PDGFR{alpha}-positive cell migration into artificial bone in vivo

    SciTech Connect (OSTI)

    Yoshida, Shigeyuki; Center for Human Metabolomic Systems Biology, Keio University School of Medicine, 35 Shinano-machi, Shinjuku-ku, Tokyo 160-8582 ; Iwasaki, Ryotaro; Kawana, Hiromasa; Miyauchi, Yoshiteru; Department of Orthopedic Surgery, Keio University School of Medicine, 35 Shinano-machi, Shinjuku-ku, Tokyo 160-8582; Department of Integrated Bone Metabolism and Immunology, Keio University School of Medicine, 35 Shinano-machi, Shinjuku-ku, Tokyo 160-8582 ; Hoshi, Hiroko; Miyamoto, Hiroya; Mori, Tomoaki; Department of Orthopedic Surgery, Keio University School of Medicine, 35 Shinano-machi, Shinjuku-ku, Tokyo 160-8582 ; Kanagawa, Hiroya; Katsuyama, Eri; Fujie, Atsuhiro; Department of Orthopedic Surgery, Keio University School of Medicine, 35 Shinano-machi, Shinjuku-ku, Tokyo 160-8582 ; Hao, Wu; and others

    2012-05-18

    Highlights: Black-Right-Pointing-Pointer We examined effects of PDGFBB in PDGFR{alpha} positive cell migration in artificial bones. Black-Right-Pointing-Pointer PDGFBB was not expressed in osteoblastic cells but was expressed in peripheral blood cells. Black-Right-Pointing-Pointer PDGFBB promoted PDGFR{alpha} positive cell migration into artificial bones but not osteoblast proliferation. Black-Right-Pointing-Pointer PDGFBB did not inhibit osteoblastogenesis. -- Abstract: Bone defects caused by traumatic bone loss or tumor dissection are now treated with auto- or allo-bone graft, and also occasionally by artificial bone transplantation, particularly in the case of large bone defects. However, artificial bones often exhibit poor affinity to host bones followed by bony union failure. Thus therapies combining artificial bones with growth factors have been sought. Here we report that platelet derived growth factor bb (PDGFBB) promotes a significant increase in migration of PDGF receptor {alpha} (PDGFR{alpha})-positive mesenchymal stem cells/pre-osteoblastic cells into artificial bone in vivo. Growth factors such as transforming growth factor beta (TGF{beta}) and hepatocyte growth factor (HGF) reportedly inhibit osteoblast differentiation; however, PDGFBB did not exhibit such inhibitory effects and in fact stimulated osteoblast differentiation in vitro, suggesting that combining artificial bones with PDGFBB treatment could promote host cell migration into artificial bones without inhibiting osteoblastogenesis.

  17. Appears in Mason, C. (Ed.) The First International Workshop on AI and the Environment, International Joint Conference on Artificial Intelligence, Montreal, Canada, 1995.

    E-Print Network [OSTI]

    Lieberman, Henry

    , International Joint Conference on Artificial Intelligence, Montreal, Canada, 1995. Copyright 1995 Cindy Mason Conference on Artificial Intelligence, the Canadian Society for Computational Studies of Intelligence, the American Meterological Society, the American Association of Artificial Intelligence, Henry Lieberman

  18. Artificial Life, unlike artifical intelligence, had humble beginnings. In the case of the latter, when the word itself was born, the first breathtaking results were

    E-Print Network [OSTI]

    Karsai, Istvan

    Preface Artificial Life, unlike artifical intelligence, had humble beginnings. In the case intelligence comes up again. Artificial intelligence was conceptually based on "machine functionalism intelligence, and artificial intelligence was a computerized approach to the mind that was designed to capture

  19. index | netl.doe.gov

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

    includes numerical simulators, analytical models, databases, and documentation. Smart Grid The DOE Smart Grid Implementation Strategy team (previously the Modern Grid...

  20. DOE N 203.1

    Office of Environmental Management (EM)

    QUALITY ASSURANCE 1. OBJECTIVES. To define requirements and responsibilities for software quality assurance (SQA) within the Department of Energy (DOE) to ensure that- a. all...

  1. Quantum Interaction Approach in Cognition, Artificial Intelligence and Robotics

    E-Print Network [OSTI]

    Diederik Aerts; Marek Czachor; Sandro Sozzo

    2011-04-17

    The mathematical formalism of quantum mechanics has been successfully employed in the last years to model situations in which the use of classical structures gives rise to problematical situations, and where typically quantum effects, such as 'contextuality' and 'entanglement', have been recognized. This 'Quantum Interaction Approach' is briefly reviewed in this paper focusing, in particular, on the quantum models that have been elaborated to describe how concepts combine in cognitive science, and on the ensuing identification of a quantum structure in human thought. We point out that these results provide interesting insights toward the development of a unified theory for meaning and knowledge formalization and representation. Then, we analyze the technological aspects and implications of our approach, and a particular attention is devoted to the connections with symbolic artificial intelligence, quantum computation and robotics.

  2. Nuclear power plant status diagnostics using artificial neural networks

    SciTech Connect (OSTI)

    Bartlett, E.B. [Iowa State Univ. of Science and Technology, Ames, IA (United States). Dept. of Mechanical Engineering] [Iowa State Univ. of Science and Technology, Ames, IA (United States). Dept. of Mechanical Engineering; Uhrig, R.E. [Tennessee Univ., Knoxville, TN (United States). Dept. of Nuclear Engineering] [Tennessee Univ., Knoxville, TN (United States). Dept. of Nuclear Engineering

    1991-12-31

    In this work, the nuclear power plant operating status recognition issue is investigated using artificial neural networks (ANNs). The objective is to train an ANN to classify nuclear power plant accident conditions and to assess the potential of future work in the area of plant diagnostics with ANNS. To this end, an ANN was trained to recognize normal operating conditions as well as potentially unsafe conditions based on nuclear power plant training simulator generated accident scenarios. These scenarios include; hot and cold leg loss of coolant, control rod ejection, loss of offsite power, main steam line break, main feedwater line break and steam generator tube leak accidents. Findings show that ANNs can be used to diagnose and classify nuclear power plant conditions with good results.

  3. Nuclear power plant status diagnostics using artificial neural networks

    SciTech Connect (OSTI)

    Bartlett, E.B. (Iowa State Univ. of Science and Technology, Ames, IA (United States). Dept. of Mechanical Engineering); Uhrig, R.E. (Tennessee Univ., Knoxville, TN (United States). Dept. of Nuclear Engineering)

    1991-01-01

    In this work, the nuclear power plant operating status recognition issue is investigated using artificial neural networks (ANNs). The objective is to train an ANN to classify nuclear power plant accident conditions and to assess the potential of future work in the area of plant diagnostics with ANNS. To this end, an ANN was trained to recognize normal operating conditions as well as potentially unsafe conditions based on nuclear power plant training simulator generated accident scenarios. These scenarios include; hot and cold leg loss of coolant, control rod ejection, loss of offsite power, main steam line break, main feedwater line break and steam generator tube leak accidents. Findings show that ANNs can be used to diagnose and classify nuclear power plant conditions with good results.

  4. Nuclear power plant fault-diagnosis using artificial neural networks

    SciTech Connect (OSTI)

    Kim, Keehoon; Aljundi, T.L.; Bartlett, E.B.

    1992-01-01

    Artificial neural networks (ANNs) have been applied to various fields due to their fault and noise tolerance and generalization characteristics. As an application to nuclear engineering, we apply neural networks to the early recognition of nuclear power plant operational transients. If a transient or accident occurs, the network will advise the plant operators in a timely manner. More importantly, we investigate the ability of the network to provide a measure of the confidence level in its diagnosis. In this research an ANN is trained to diagnose the status of the San Onofre Nuclear Generation Station using data obtained from the plant's training simulator. Stacked generalization is then applied to predict the error in the ANN diagnosis. The data used consisted of 10 scenarios that include typical design basis accidents as well as less severe transients. The results show that the trained network is capable of diagnosing all 10 instabilities as well as providing a measure of the level of confidence in its diagnoses.

  5. American Association for Artificial Intelligence Spring Symposium 3/2004, Stanford University Keynote Lecture. FFrroomm HHuummaann EEmmoottiioonnss ttoo RRoobboott EEmmoottiioonnss

    E-Print Network [OSTI]

    Fellous, Jean-Marc

    1 American Association for Artificial Intelligence ­ Spring Symposium 3/2004, Stanford University © 2004, American Association for Artificial Intelligence (www.aaai.org). All rights reserved. open a new

  6. Reprinted from: Artificial Neural Networks for Speech and Vision (Proc. Workshop held at Rutgers, 1992, Edited by Richard J. Mammone)

    E-Print Network [OSTI]

    Sontag, Eduardo

    Reprinted from: Artificial Neural Networks for Speech and Vision (Proc. Workshop held at Rutgers, in order to increase representational bias, by imposing artificial conditions such as asking that certain

  7. DOE-EPSCOR SPONSORED PROJECT FINAL REPORT

    SciTech Connect (OSTI)

    Zhu, Jianting

    2010-03-11

    Concern over the quality of environmental management and restoration has motivated the model development for predicting water and solute transport in the vadose zone. Soil hydraulic properties are required inputs to subsurface models of water flow and contaminant transport in the vadose zone. Computer models are now routinely used in research and management to predict the movement of water and solutes into and through the vadose zone of soils. Such models can be used successfully only if reliable estimates of the soil hydraulic parameters are available. The hydraulic parameters considered in this project consist of the saturated hydraulic conductivity and four parameters of the water retention curves. To quantify hydraulic parameters for heterogeneous soils is both difficult and time consuming. The overall objective of this project was to better quantify soil hydraulic parameters which are critical in predicting water flows and contaminant transport in the vadose zone through a comprehensive and quantitative study to predict heterogeneous soil hydraulic properties and the associated uncertainties. Systematic and quantitative consideration of the parametric heterogeneity and uncertainty can properly address and further reduce predictive uncertainty for contamination characterization and environmental restoration at DOE-managed sites. We conducted a comprehensive study to assess soil hydraulic parameter heterogeneity and uncertainty. We have addressed a number of important issues related to the soil hydraulic property characterizations. The main focus centered on new methods to characterize anisotropy of unsaturated hydraulic property typical of layered soil formations, uncertainty updating method, and artificial neural network base pedo-transfer functions to predict hydraulic parameters from easily available data. The work also involved upscaling of hydraulic properties applicable to large scale flow and contaminant transport modeling in the vadose zone and geostatistical characterization of hydraulic parameter heterogeneity. The project also examined the validity of the some simple average schemes for unsaturated hydraulic properties widely used in previous studies. A new suite of pedo-transfer functions were developed to improve the predictability of hydraulic parameters. We also explored the concept of tension-dependent hydraulic conductivity anisotropy of unsaturated layered soils. This project strengthens collaboration between researchers at the Desert Research Institute in the EPSCoR State of Nevada and their colleagues at the Pacific Northwest National Laboratory. The results of numerical simulations of a field injection experiment at Hanford site in this project could be used to provide insights to the DOE mission of appropriate contamination characterization and environmental remediation.

  8. An adaptive artificial neural network model for sizing stand-alone photovoltaic systems: Application for isolated sites in Algeria

    E-Print Network [OSTI]

    Mellit, A; Hadj-Arab, A; Guessoum, A

    2004-01-01

    An adaptive artificial neural network model for sizing stand-alone photovoltaic systems: Application for isolated sites in Algeria

  9. Distributed Artificial Intelligence, Vol. II Pitman-London Keith S. Decker, Edmund H. Durfee & Victor R. Lesser 1989

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Distributed Artificial Intelligence, Vol. II Pitman-London © Keith S. Decker, Edmund H. Durfee & Victor R. Lesser 1989 #12;Distributed Artificial Intelligence, Vol. II Pitman-London © Keith S. Decker, Edmund H. Durfee & Victor R. Lesser 1989 #12;Distributed Artificial Intelligence, Vol. II Pitman

  10. For release Tuesday, Dec. 16, at 0600 PST Stanford to host 100-year study on artificial intelligence

    E-Print Network [OSTI]

    Horvitz, Eric

    of artificial intelligence in all aspects of life. By Chris Cesare | Stanford Engineering Stanford University and anticipate how the effects of artificial intelligence will ripple through every aspect of how people work, live and play. This effort, called the One Hundred Year Study on Artificial Intelligence, or AI100

  11. 2. State-space search D. Keil Artificial Intelligence 6/13 David Keil, Framingham State University

    E-Print Network [OSTI]

    Keil, David M.

    2. State-space search D. Keil Artificial Intelligence 6/13 David Keil, Framingham State University CSCI 300 Artificial Intelligence 2. State-space search 1. Constraint and optimization problems 2. Goal-driven search 3. Exhaustive search and intractability 4. Heuristics 1D. Keil CSCI 300 Artificial Intelligence 2

  12. An artificial intelligence experiment in college math education Oliver Knill, Johnny Carlsson, Andrew Chi and Mark Lezama

    E-Print Network [OSTI]

    Knill, Oliver

    An artificial intelligence experiment in college math education Oliver Knill, Johnny Carlsson to solve simple pre-wired calculus problems. 1 Introduction 1.1 Artificial intelligence in education. Artificial intelligent projects like "Eliza" [8], "Student" or "GPS" [5] attempted to produce agents which

  13. A tiltable microplatform for adaptive artificial vision applica-tions has been demonstrated that utilizes special bent-beam electro-

    E-Print Network [OSTI]

    Nguyen, Clark T.-C.

    1 of 4 ABSTRACT A tiltable microplatform for adaptive artificial vision applica- tions has been, artificial vision, tilt angle, low voltage I. INTRODUCTION In the wake of rapid advancements in optical MEMS application, for which this work is specifi- cally targeted, is the adaptive artificial vision system depicted

  14. A neural network based artificial vision system for licence plate recognition Sorin Draghici, Dept. of Computer Science, Wayne State University,

    E-Print Network [OSTI]

    Draghici, Sorin

    A neural network based artificial vision system for licence plate recognition Sorin Draghici, Dept based artificial vision system able to analyse the image of a car given by a camera, locate plate, real-world application #12;A neural network based artificial vision system for licence plate

  15. AAAI-10 is the Twenty-Fourth AAAI Confer-ence on Artificial Intelligence (AI). The pur-

    E-Print Network [OSTI]

    Napp, Nils

    ) welcomes papers in robotics, vision, activity recognition and oth- er areas of artificial intelligenceAAAI-10 is the Twenty-Fourth AAAI Confer- ence on Artificial Intelligence (AI). The pur- pose challenges to the AI community. The Special Track on Artificial Intelligence and the Web (AIW) focuses

  16. Annals of Mathematics and Artificial Intelligence 17 (1996) 37-83 Consistency, redundancy, and implied equalities in

    E-Print Network [OSTI]

    Greenberg, Harvey J.

    1996-01-01

    Annals of Mathematics and Artificial Intelligence 17 (1996) 37-83 Consistency, redundancy interests in artificial intelligence have recently produced new results. One question is that of consistency by Charnes and Cooper [I01 and the monograph by Glover et al. [41]). They have also arisen in artificial

  17. DOE-TSPP-8-2013, Converting DOE Technical Standards to Voluntary...

    Office of Environmental Management (EM)

    8-2013, Converting DOE Technical Standards to Voluntary Consensus Standards DOE-TSPP-8-2013, Converting DOE Technical Standards to Voluntary Consensus Standards Technical Standards...

  18. Artificial Life, The Second Law of Thermodynamics, and Kolmogorov Complexity

    E-Print Network [OSTI]

    Woodward, John

    is a process and not a substance (e.g. being carbon-based does not capture what life is), and this therefore of thermodynamics. Thus we can use this as an algorithmic definition of the process of life. Keywords- Tierra; life that superficially link all life forms witnessed on earth, for example, they contain RNA, protein and carbon

  19. Nancy Garland DOE Hydrogen Program

    E-Print Network [OSTI]

    Nancy Garland DOE Hydrogen Program Fuel Cell Operation at Sub- Freezing Temperatures DOE Program/Targets and Workshop Objectives Sub-Freezing Temperature Effects on Fuel Cells Workshop Phoenix AZ February 1-2, 2005 #12;Hydrogen Fuel Initiative The Hydrogen, Fuel Cells, and Infrastructure Technologies Program

  20. DOE's Roof Savings Calculator (RSC)

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    energy consumption, 2006 Source: Building Energy Data Book, U.S. DOE, Prepared by D&R International, Ltd and windows Source: Building Energy Data Book, U.S. DOE, Prepared by D&R International, Ltd., September 2008. Figure 3. Commercial energy loads attributed to envelope and windows Source: Building Energy Data Book, U

  1. DOE/EA-1570 ENVIRONMENTAL

    E-Print Network [OSTI]

    Quigg, Chris

    DOE/EA-1570 FINAL ENVIRONMENTAL ASSESSMENT Environmental Assessment for Construction and Operation. Paul District St. Paul, MN June 2008 #12;(DOE/EA-1570) NOvA Environmental Assessment June 2008ii/EA-1570) NOvA Environmental Assessment June 2008iii SUMMARY Introduction. This Environmental Assessment

  2. DOE handbook: Design considerations

    SciTech Connect (OSTI)

    1999-04-01

    The Design Considerations Handbook includes information and suggestions for the design of systems typical to nuclear facilities, information specific to various types of special facilities, and information useful to various design disciplines. The handbook is presented in two parts. Part 1, which addresses design considerations, includes two sections. The first addresses the design of systems typically used in nuclear facilities to control radiation or radioactive materials. Specifically, this part addresses the design of confinement systems and radiation protection and effluent monitoring systems. The second section of Part 1 addresses the design of special facilities (i.e., specific types of nonreactor nuclear facilities). The specific design considerations provided in this section were developed from review of DOE 6430.1A and are supplemented with specific suggestions and considerations from designers with experience designing and operating such facilities. Part 2 of the Design Considerations Handbook describes good practices and design principles that should be considered in specific design disciplines, such as mechanical systems and electrical systems. These good practices are based on specific experiences in the design of nuclear facilities by design engineers with related experience. This part of the Design Considerations Handbook contains five sections, each of which applies to a particular engineering discipline.

  3. Final Report to DOE

    SciTech Connect (OSTI)

    Ismail Gultepe

    2012-05-15

    This final report summarizes the accomplished goals and provide a list of the publications and presentations made during the project. The goals of the project were accomplished through the various publications submitted to Journals and presentations done at the DOE and international meetings and conferences. The 8 journal articles related to the goals of this project were accepted or submitted. The 23 presentations related to goals of the project were presented at the meetings. There were some minor changes regarding to project goals because of issues encountered during the analysis of the data. For example, a total water probe sensor mounted on the Convair-580 that can be used for defining mixed phase conditions and parameterization, had some problems to estimate magnitude of total water mass, and this resulted in issues providing an accurate parameterization for cloud fraction. Variability related aerosol number concentrations and their composition for direct and indirect effects were studied and published. Results were given to explain aerosol and ice microphysical effects on climate change studies. It is suggested that developed parameterizations should consider the variability in aerosol and ice parameters over the Arctic regions.

  4. How does Google work? Three aspects

    E-Print Network [OSTI]

    Rydeheard, David

    How does Google work? Three aspects: 1 How does Google know what is on the Web? 2 How does Google search the Web for your query phrase? 3 How does Google decide which results you may be interested in a `page ranking' to help with item (3). #12;How does Google know what is on the Web? Answer is spiders

  5. Order Module--DOE O 440.1B, WORKER PROTECTION PROGRAM FOR DOE...

    Energy Savers [EERE]

    Order Module--DOE O 440.1B, WORKER PROTECTION PROGRAM FOR DOE (INCLUDING NNSA) FEDERAL EMPLOYEES Order Module--DOE O 440.1B, WORKER PROTECTION PROGRAM FOR DOE (INCLUDING NNSA)...

  6. Policy Flash 2014-40 Implementation of DOE O 580.1A, DOE Energy...

    Office of Environmental Management (EM)

    40 Implementation of DOE O 580.1A, DOE Energy Personal Property Management Policy Flash 2014-40 Implementation of DOE O 580.1A, DOE Energy Personal Property Management Questions...

  7. DOE O 440.1 B, Worker Protection Program for DOE (Including the...

    Energy Savers [EERE]

    DOE O 440.1 B, Worker Protection Program for DOE (Including the National Nuclear Security Administration) Federal Employees DOE O 440.1 B, Worker Protection Program for DOE...

  8. Ecological risks of DOE`s programmatic environmental restoration alternatives

    SciTech Connect (OSTI)

    Not Available

    1994-06-01

    This report assesses the ecological risks of the Department of Energy`s (DOE) Environmental Restoration Program. The assessment is programmatic in that it is directed at evaluation of the broad programmatic alternatives outlined in the DOE Implementation Plan. It attempts to (1) characterize the ecological resources present on DOE facilities, (2) describe the occurrence and importance of ecologically significant contamination at major DOE facilities, (3) evaluate the adverse ecological impacts of habitat disturbance caused by remedial activities, and (4) determine whether one or another of the programmatic alternatives is clearly ecologically superior to the others. The assessment focuses on six representative facilities: the Idaho National Engineering Laboratory (INEL); the Fernald Environmental Management Project (FEMP); the Oak Ridge Reservation (ORR), including the Oak Ridge National Laboratory (ORNL), Y-12 plant, and K-25 plant; the Rocky Flats Plant; the Hanford Reservation; and the Portsmouth Gaseous Diffusion Plant.

  9. DOE-ID Twitter Site

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2 DOE HQSite toDOE, StateResearchers111DOE-ID

  10. Annual DOE Occupational Radiation Exposure | 1978 Report

    Broader source: Energy.gov [DOE]

    The Eleventh Annual Report of Radiation Exposures for DOE & DOE Contractor Employees analyzes occupational radiation exposures at the U.S. Department of Energy (DOE) and its contractor employees during 1978.

  11. Annual DOE Occupational Radiation Exposure | 1977 Report

    Broader source: Energy.gov [DOE]

    The Tenth Annual Report of Radiation Exposures for DOE & DOE Contractor Employees analyzes occupational radiation exposures at the U.S. Department of Energy (DOE) and its contractor employees during 1977.

  12. Annual DOE Occupational Radiation Exposure | 1976 Report

    Broader source: Energy.gov [DOE]

    The Ninth Annual Report of Radiation Exposures for DOE & DOE Contractor Employees analyzes occupational radiation exposures at the U.S. Department of Energy (DOE) and its contractor employees during 1976.

  13. Annual DOE Occupational Radiation Exposure | 1984 Report

    Broader source: Energy.gov [DOE]

    The Seventeenth Annual Report of Radiation Exposures for DOE & DOE Contractor Employees analyzes occupational radiation exposures at the U.S. Department of Energy (DOE) and its contractor employees during 1984.

  14. Annual DOE Occupational Radiation Exposure | 1986 Report

    Broader source: Energy.gov [DOE]

    The Nineteenth Annual Report of Radiation Exposures for DOE & DOE Contractor Employees analyzes occupational radiation exposures at the U.S. Department of Energy (DOE) and its contractor employees during 1986.

  15. Departmental Directives Program - DOE Directives, Delegations...

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

    DOE O 251.1C, Departmental Directives Program and Conforming Changes to DOE O 252.1, Technical Standards Program Redline of DOE O 251.1D - First Draft Comment Response Report...

  16. The DOE Water Cycle Pilot Study

    E-Print Network [OSTI]

    2003-01-01

    The DOE Water Cycle Pilot Study N.L. Miller 1 *, A.W. KingCycle Research Strategy, DOE SC-0043, Office of BiologicalLBNL Report LBNL-53826. The DOE Water Cycle Pilot Study is

  17. DOE-NABIR Pi Workshop: Abstracts

    E-Print Network [OSTI]

    Various

    2003-01-01

    DOE-NABIR PI WORKSHOP: Abstracts March 17–19, 2003to radionuclides of interest to DOE and the role(s) of these80 iv Introduction DOE–NABIR PI Workshop March 17–19, 2003

  18. DOE-NABIR PI Workshop: Abstracts

    E-Print Network [OSTI]

    Hawkes editor, Dan

    2002-01-01

    DOE-NABIR PI WORKSHOP: Abstracts March 18–20, 2002technologies at EMSL and other DOE sites (Zachara, Fendorf)sediments throughout the DOE complex. Plutonium is generally

  19. Does More Money Buy You More Happiness?

    E-Print Network [OSTI]

    Baucells, M.; Sarin, R. K.

    2007-01-01

    of happiness. Happiness does not depend on the absoluteE ASTERLIN , R. (1974): “Does Economic Growth Improve theAND D. K AHNEMAN (1998): “Does Living in California Make

  20. Does Customer Auditing Help Chinese Workers?

    E-Print Network [OSTI]

    He, Guojun; Perloff, Jeffrey M.

    2009-01-01

    F. Qin, and A. Brause, 2007, Does monitoring improve labourDoes Customer Auditing Help Chinese Workers? Guojun He* andof a Chinese supplier does not affect that the supplier’s

  1. DOE Cooperative Research and Development Agreements

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

    2013-11-06

    The order establishes policy, requirements, and responsibilities for the oversight, management, and administration of Cooperative Research and Development Agreement (CRADA) activities at DOE facilities. Supersedes DOE O 483.1 Admin Chg 1 and DOE M 483.1-1.

  2. Annual DOE Occupational Radiation Exposure | 1985 Report

    Broader source: Energy.gov [DOE]

    The Eighteenth Annual Report of Radiation Exposures for DOE & DOE Contractor Employees analyzes occupational radiation exposures at the U.S. Department of Energy (DOE) and its contractor employees during 1985.

  3. Annual DOE Occupational Radiation Exposure | 1982 Report

    Broader source: Energy.gov [DOE]

    The Fifteenth Annual Report of Radiation Exposures for DOE & DOE Contractor Employees analyzes occupational radiation exposures at the U.S. Department of Energy (DOE) and its contractor employees during 1982.

  4. Annual DOE Occupational Radiation Exposure | 1979 Report

    Broader source: Energy.gov [DOE]

    The Twelfth Annual Report of Radiation Exposures for DOE & DOE Contractor Employees analyzes occupational radiation exposures at the U.S. Department of Energy (DOE) and its contractor employees during 1979.

  5. Annual DOE Occupational Radiation Exposure | 1983 Report

    Broader source: Energy.gov [DOE]

    The Sixteenth Annual Report of Radiation Exposures for DOE & DOE Contractor Employees analyzes occupational radiation exposures at the U.S. Department of Energy (DOE) and its contractor employees during 1983.

  6. Annual DOE Occupational Radiation Exposure | 1980 Report

    Broader source: Energy.gov [DOE]

    The Thirteenth Annual Report of Radiation Exposures for DOE & DOE Contractor Employees analyzes occupational radiation exposures at the U.S. Department of Energy (DOE) and its contractor employees during 1980.

  7. Annual DOE Occupational Radiation Exposure | 1981 Report

    Broader source: Energy.gov [DOE]

    The Fourteenth Annual Report of Radiation Exposures for DOE & DOE Contractor Employees analyzes occupational radiation exposures at the U.S. Department of Energy (DOE) and its contractor employees during 1981.

  8. Surface daytime net radiation estimation using artificial neural networks

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Jiang, Bo; Zhang, Yi; Liang, Shunlin; Zhang, Xiaotong; Xiao, Zhiqiang

    2014-11-11

    Net all-wave surface radiation (Rn) is one of the most important fundamental parameters in various applications. However, conventional Rn measurements are difficult to collect because of the high cost and ongoing maintenance of recording instruments. Therefore, various empirical Rn estimation models have been developed. This study presents the results of two artificial neural network (ANN) models (general regression neural networks (GRNN) and Neuroet) to estimate Rn globally from multi-source data, including remotely sensed products, surface measurements, and meteorological reanalysis products. Rn estimates provided by the two ANNs were tested against in-situ radiation measurements obtained from 251 global sites between 1991–2010more »both in global mode (all data were used to fit the models) and in conditional mode (the data were divided into four subsets and the models were fitted separately). Based on the results obtained from extensive experiments, it has been proved that the two ANNs were superior to linear-based empirical models in both global and conditional modes and that the GRNN performed better and was more stable than Neuroet. The GRNN estimates had a determination coefficient (R2) of 0.92, a root mean square error (RMSE) of 34.27 W·m–2 , and a bias of –0.61 W·m–2 in global mode based on the validation dataset. In conclusion, ANN methods are a potentially powerful tool for global Rn estimation.« less

  9. Multi-parameter estimating photometric redshifts with artificial neural networks

    E-Print Network [OSTI]

    Lili Li; Yanxia Zhang; Yongheng Zhao; Dawei Yang

    2007-04-17

    We calculate photometric redshifts from the Sloan Digital Sky Survey Data Release 2 Galaxy Sample using artificial neural networks (ANNs). Different input patterns based on various parameters (e.g. magnitude, color index, flux information) are explored and their performances for redshift prediction are compared. For ANN technique, any parameter may be easily incorporated as input, but our results indicate that using dereddening magnitude produces photometric redshift accuracies often better than the Petrosian magnitude or model magnitude. Similarly, the model magnitude is also superior to Petrosian magnitude. In addition, ANNs also show better performance when the more effective parameters increase in the training set. Finally, the method is tested on a sample of 79, 346 galaxies from the SDSS DR2. When using 19 parameters based on the dereddening magnitude, the rms error in redshift estimation is sigma(z)=0.020184. The ANN is highly competitive tool when compared with traditional template-fitting methods where a large and representative training set is available.

  10. Nuclear power plant fault-diagnosis using artificial neural networks

    SciTech Connect (OSTI)

    Kim, Keehoon; Aljundi, T.L.; Bartlett, E.B.

    1992-12-31

    Artificial neural networks (ANNs) have been applied to various fields due to their fault and noise tolerance and generalization characteristics. As an application to nuclear engineering, we apply neural networks to the early recognition of nuclear power plant operational transients. If a transient or accident occurs, the network will advise the plant operators in a timely manner. More importantly, we investigate the ability of the network to provide a measure of the confidence level in its diagnosis. In this research an ANN is trained to diagnose the status of the San Onofre Nuclear Generation Station using data obtained from the plant`s training simulator. Stacked generalization is then applied to predict the error in the ANN diagnosis. The data used consisted of 10 scenarios that include typical design basis accidents as well as less severe transients. The results show that the trained network is capable of diagnosing all 10 instabilities as well as providing a measure of the level of confidence in its diagnoses.

  11. Pulse imaging and nonadiabatic control of solid-state artificial atoms

    E-Print Network [OSTI]

    Berggren, Karl K.

    Transitions in an artificial atom, driven nonadiabatically through an energy-level avoided crossing, can be controlled by carefully engineering the driving protocol. We have driven a superconducting persistent-current qubit ...

  12. Analysis and forecast of the capesize bulk carriers shipping market using Artificial Neural Networks

    E-Print Network [OSTI]

    Voudris, Athanasios V

    2006-01-01

    Investing in the bulk carrier market constitutes a rather risky investment due to the volatility of the bulk carrier freight rates. In this study it is attempted to uncover the benefits of using Artificial Neural Networks ...

  13. Proposal to ARPA for Research on Artificial Intelligence at MIT, 1970-1971

    E-Print Network [OSTI]

    Minsky, Marvin

    1970-12-01

    The MIT Artificial Intelligence Project has a variety of goals all bound together by search for principles of intelligent behavior. Among our immediate goals are to develop systems with practical applications for: ...

  14. FURTHER NOTES ON THE NATURAL HISTORY AND ARTIFICIAL PROPAGATION OF THE DIAMOND-BACK TERRAPIN.

    E-Print Network [OSTI]

    on the artificial propagation of the diamond-back terrapin, Malaclemmys cenirata, at the United States Fisheries been directed since its beginning by several investigators. Originally Dr. R. E. Coker gave his

  15. An experimental and theoretical study of the ice accretion process during artificial and natural icing conditions

    E-Print Network [OSTI]

    Kirby, Mark Samuel

    1986-01-01

    Real-time measurements of ice growth during artificial and natural icing conditions were conducted using an ultrasonic pulse-echo technique. This technique allows ice thickness to be measured with an accuracy of ?0.5 mm; ...

  16. Development and implementation of an artificially intelligent search algorithm for sensor fault detection using neural networks 

    E-Print Network [OSTI]

    Singh, Harkirat

    2004-09-30

    This work is aimed towards the development of an artificially intelligent search algorithm used in conjunction with an Auto Associative Neural Network (AANN) to help locate and reconstruct faulty sensor inputs in control ...

  17. A bacterial artificial chromosome (BAC) library of Malus floribunda 821 and contig construction for

    E-Print Network [OSTI]

    Korban, Schuyler S.

    A bacterial artificial chromosome (BAC) library of Malus floribunda 821 and contig construction of 31 584 clones has been constructed from M. floribunda 821. From the analysis of 88 randomly selected

  18. Automated Analysis of Protein NMR Assignments Using Methods from Artificial Intelligence

    E-Print Network [OSTI]

    Powers, Robert

    Automated Analysis of Protein NMR Assignments Using Methods from Artificial Intelligence Diane E correlation spectrum. The software Abbreviations used: AI, arti®cial intelligence; Csp A, major cold shock

  19. International Journal on Artificial Intelligence Tools c World Scientific Publishing Company

    E-Print Network [OSTI]

    Gustafsson, Torgny

    International Journal on Artificial Intelligence Tools c World Scientific Publishing Company: Intelligent tutoring systems; constraint propagation; units 1. Introduction In teaching problem solving, Intelligent Tutoring Systems (ITS) often employ a rigid and explicit framework to guide the student along

  20. The Artificial Intelligence of Hubert L. Dreyfus: A Budget of Fallacies

    E-Print Network [OSTI]

    Papert, Seymour

    1968-01-01

    In December 1965 a paper by Hubert Dreyfus revived the old game of generating curious arguments for and against Artificial Intelligence. Dreyfus hit top form in September 1967 with an explanation in the Review of ...

  1. Study on The Intelligence Control System of Artificial Cooling Source in Architecture 

    E-Print Network [OSTI]

    Yang, Z.; Xu, X.

    2006-01-01

    To overcome the shortcoming of constant temperature and humidity in artificial cooling source control system, a dynamic indoor temperature control strategy was put forward under health and thermal comfortable principles. With a lump human model...

  2. S.N.A.K.E. : a dynamically reconfigurable Artificial Sensate Skin

    E-Print Network [OSTI]

    Barroeta Pérez, Gerardo

    2006-01-01

    The idea of an Artificial Sensate Skin device that mimics the characteristics and functions of its analogous living tissue whether human or animal is not new. Yet, most of the current related work has been focused in the ...

  3. A Comparison of Vegetation in Artificially Isolated Wetlands on West Galveston Island 

    E-Print Network [OSTI]

    Wilson, Ashley

    2012-07-16

    The purpose of this study was to compare vegetation systems among three artificially isolated wetlands on the west end of Galveston Island. Sample sites were identified as isolated wetlands and anthropogenic impact was observed. Wetland plant...

  4. Artificial gravity : changing the intensity of coriolis cross-coupled stimulus with head-angle

    E-Print Network [OSTI]

    Adenot, Sophie, 1982-

    2004-01-01

    Artificial Gravity (AG) created by high-speed rotation is a promising method for preventing the serious deconditioning associated with prolonged exposure to weightlessness. Unfortunately, head-movements in a rotating ...

  5. Andrew Schwartz: Brain Control for Artificial Limbs -Businessweek How About Them Gams: 3D

    E-Print Network [OSTI]

    Schwartz, Andrew

    Andrew Schwartz: 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 last year

  6. Research on the Temperature Control Method of an Artificial Climate Room 

    E-Print Network [OSTI]

    Jiang, Y.; Tan, W.; Wei, B.; Guo, R.

    2006-01-01

    to increase the temperature to simulate the indoor environment. It would result in large waste if the temperature control method of artificial climate room is unreasonable. It causes energy waste because it takes too much time for control process stability...

  7. Jackfruit (Artocarpus heterophyllus Lam.) Diversity in Bangladesh: Land Use and Artificial Selection1

    E-Print Network [OSTI]

    Wagenius, Stuart

    Jackfruit (Artocarpus heterophyllus Lam.) Diversity in Bangladesh: Land Use and Artificial, University of Rajshahi, Rajshahi, Bangladesh 3 Chicago Botanic Garden, Glencoe, IL, USA 4 Northwestern University, Plant Biology and Conservation, Evanston, IL, USA 5 Gono University, Savar, Dhaka, Bangladesh

  8. Effect of sediment concentration on artificial well recharge in a fine sand aquifer 

    E-Print Network [OSTI]

    Rahman, Mohammed Ataur

    1968-01-01

    alluvial ridges. Artificial recharge is practiced in Germany where basins and ditches, and more recently wells have been utilized (15, 21, 37). Installations are prevalent along the Lippe, Rhine and Ruhr Rivers, as these rivers are polluted and natural...

  9. Soft pneumatic artificial muscles with low threshold pressures for a cardiac compression device

    E-Print Network [OSTI]

    Obiajulu, Steven (Steven C.)

    2013-01-01

    In this paper, I present the design, fabrication and characterization of fully soft pneumatic artificial muscles (PAMs) with low threshold pressures that are intended for direct cardiac compression (DCC). McKibben type ...

  10. Artificial Intelligence 184185 (2012) 1737 Contents lists available at SciVerse ScienceDirect

    E-Print Network [OSTI]

    Yang, Qiang

    2012-01-01

    Artificial Intelligence 184­185 (2012) 17­37 Contents lists available at SciVerse Science a a Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Clear Water

  11. Artificial Lift Systems Market is expected to reach USD 19,806...

    Open Energy Info (EERE)

    Artificial Lift Systems Market is expected to reach USD 19,806.8 Million by 2020 Home > Groups > Renewable Energy RFPs Wayne31jan's picture Submitted by Wayne31jan(150) Contributor...

  12. Design and validation of a compact radius centrifuge artificial gravity test platform

    E-Print Network [OSTI]

    Trigg, Chris

    2013-01-01

    Intermittent exposure to artificial gravity on a short radius centrifuge (SRC) with exercise is a promising, comprehensive countermeasure to the cardiovascular and musculoskeletal deconditioning that occurs as a result of ...

  13. DOE SCIENTIFIC AND TECHNICAL REPORTS

    Broader source: Energy.gov [DOE]

    The Record Disposition Schedule items listed below are have been consolidated from DOE Records Schedules previously approved over the last 35 years. They apply specifically to those scientific and...

  14. Does Musical Behavior Promote Affiliation? 

    E-Print Network [OSTI]

    Harmon-Jones, Cindy Kay

    2012-10-19

    (Bispham, 2009; Merker, Madison, & Eckerdal, 2009; Merriam, 1964). Although some music is not pitch-based (some percussive music) and some music does not have an observable pulse (drone chanting, Indian rajas), entrainment (based on pulse, pitch, or both...

  15. DOE Facilities Technology Partnering Programs

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

    2001-01-12

    The Order establishes roles and responsibilities for the oversight, management and administration of technology partnerships and associated technology transfer mechanisms, and clarifies related policies and procedures. Does not cancel other directives.

  16. DOE Online Learning Center (OLC)

    Broader source: Energy.gov [DOE]

    DOE Online Learning Center offers SkillSoft online courses that can lead to business, desktop and IT professional certifications. The online classes can be accessed 365 days a year from any desktop and are completed at your own pace

  17. DOE F 4220-10

    Office of Environmental Management (EM)

    to date: ) Does this award result from an Invitation For Bid? Yes No 7. Obligated Cost or Price of this Action: Federal Cost or Price of Total Award: Modification to...

  18. 150122 Traxys DOE RFI Comments

    Office of Environmental Management (EM)

    TRAXYS RESPONSES to DOE'S RFI ON EXCESS URANIUM MANAGEMENT Summary Statements based on Traxys' contracts and EIA Form 858 Filings: 1. Traxys is a primary, direct participant in the...

  19. DOE Hydrogen & Fuel Cell Overview

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

    t t 1 | Fuel Cell Technologies Program eere.energy.gov Fuel Cell Technologies Program DOE Hydrogen & Fuel Cell Overview Dr. Sunita Satyapal Program Manager U S D f E Overview U.S....

  20. Media Contacts: Cameron Hardy, DOE

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

    The waste sites were part of two Tri-Party Agreement Milestones (M-16-47 and M-16-51) which called for DOE to clean up the 50 D Area and 27 H Area waste sites by December...