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Sample records for artificial retina project

  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. Projective simulation for artificial intelligence

    E-Print Network [OSTI]

    Hans J. Briegel; Gemma De las Cuevas

    2013-02-08

    We propose a model of a learning agent whose interaction with the environment is governed by a simulation-based projection, which allows the agent to project itself into future situations before it takes real action. Projective simulation is based on a random walk through a network of clips, which are elementary patches of episodic memory. The network of clips changes dynamically, both due to new perceptual input and due to certain compositional principles of the simulation process. During simulation, the clips are screened for specific features which trigger factual action of the agent. The scheme is different from other, computational, notions of simulation, and it provides a new element in an embodied cognitive science approach to intelligent action and learning. Our model provides a natural route for generalization to quantum-mechanical operation and connects the fields of reinforcement learning and quantum computation.

  4. 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.

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

    Office of Scientific and Technical Information (OSTI)

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  6. Infrared retina

    DOE Patents [OSTI]

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

    2011-12-06

    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.

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

    E-Print Network [OSTI]

    Evans, Paul

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

  8. Artificial Intelligence Approach to the Determination of Physical Properties of Eclipsing Binaries. I. The EBAI Project

    E-Print Network [OSTI]

    A. Prsa; E. F. Guinan; E. J. Devinney; M. DeGeorge; D. H. Bradstreet; J. M. Giammarco; C. R. Alcock; S. G. Engle

    2008-07-10

    Achieving maximum scientific results from the overwhelming volume of astronomical data to be acquired over the next few decades will demand novel, fully automatic methods of data analysis. Artificial intelligence approaches hold great promise in contributing to this goal. Here we apply neural network learning technology to the specific domain of eclipsing binary (EB) stars, of which only some hundreds have been rigorously analyzed, but whose numbers will reach millions in a decade. Well-analyzed EBs are a prime source of astrophysical information whose growth rate is at present limited by the need for human interaction with each EB data-set, principally in determining a starting solution for subsequent rigorous analysis. We describe the artificial neural network (ANN) approach which is able to surmount this human bottleneck and permit EB-based astrophysical information to keep pace with future data rates. The ANN, following training on a sample of 33,235 model light curves, outputs a set of approximate model parameters (T2/T1, (R1+R2)/a, e sin(omega), e cos(omega), and sin i) for each input light curve data-set. The whole sample is processed in just a few seconds on a single 2GHz CPU. The obtained parameters can then be readily passed to sophisticated modeling engines. We also describe a novel method polyfit for pre-processing observational light curves before inputting their data to the ANN and present the results and analysis of testing the approach on synthetic data and on real data including fifty binaries from the Catalog and Atlas of Eclipsing Binaries (CALEB) database and 2580 light curves from OGLE survey data. [abridged

  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 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

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

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1985-04-01

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

  11. 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

  12. 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

  13. 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...

  14. 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

  15. LANL LDRD-funded project: Test particle simulations of energetic ions in natural and artificial radiation belts

    SciTech Connect (OSTI)

    Cowee, Misa [Los Alamos National Laboratory; Liu, Kaijun [Los Alamos National Laboratory; Friedel, Reinhard H. [Los Alamos National Laboratory; Reeves, Geoffrey D. [Los Alamos National Laboratory

    2012-07-17

    We summarize the scientific problem and work plan for the LANL LDRD-funded project to use a test particle code to study the sudden de-trapping of inner belt protons and possible cross-L transport of debris ions after a high altitude nuclear explosion (HANE). We also discuss future application of the code for other HANE-related problems.

  16. Johnson Creek Artificial Propagation and Enhancement Project Operations and Maintenance Program; Brood Year 1998: Johnson Creek Chinook Salmon Supplementation, Biennial Report 1998-2000.

    SciTech Connect (OSTI)

    Daniel, Mitch; Gebhards, John

    2003-05-01

    The Nez Perce Tribe, through funding provided by the Bonneville Power Administration, has implemented a small scale chinook salmon supplementation program on Johnson Creek, a tributary in the South Fork of the Salmon River, Idaho. The Johnson Creek Artificial Propagation Enhancement project was established to enhance the number of threatened Snake River summer chinook salmon (Oncorhynchus tshawytscha) returning to Johnson Creek through artificial propagation. Adult chinook salmon collection and spawning began in 1998. A total of 114 fish were collected from Johnson Creek and 54 fish (20 males and 34 females) were retained for Broodstock. All broodstock were transported to Lower Snake River Compensation Plan's South Fork Salmon River adult holding and spawning facility, operated by the Idaho Department of Fish and Game. The remaining 60 fish were released to spawn naturally. An estimated 155,870 eggs from Johnson Creek chinook spawned at the South Fork Salmon River facility were transported to the McCall Fish Hatchery for rearing. Average fecundity for Johnson Creek females was 4,871. Approximately 20,500 eggs from females with high levels of Bacterial Kidney Disease were culled. This, combined with green-egg to eyed-egg survival of 62%, resulted in about 84,000 eyed eggs produced in 1998. Resulting juveniles were reared indoors at the McCall Fish Hatchery in 1999. All of these fish were marked with Coded Wire Tags and Visual Implant Elastomer tags and 8,043 were also PIT tagged. A total of 78,950 smolts were transported from the McCall Fish Hatchery and released directly into Johnson Creek on March 27, 28, 29, and 30, 2000.

  17. PROJECT PROFILE: SolarRetina (Incubator 10) | Department of Energy

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

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  18. Artificial photosynthesis

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

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  19. 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

  20. 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

  1. 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...

  2. 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

  3. 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

  4. SILICON RETINA FOR AUTOFOCUS Tobi Delbrck

    E-Print Network [OSTI]

    Delbruck, Tobi

    of measuring image sharpness for the purpose of autofocusing. This study was in the context of Project MAC. In practice, the pixel spacing has an important effect on this measure because we can only estimate of pixels. 2. CHIP ARCHITECTURE I start by describing the architecture of the chip in this section

  5. 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

  6. 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 ...

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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....

  18. 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 ...

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  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. 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

  16. 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

  17. 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

  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 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

  19. 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

  20. 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

  1. 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

  2. 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: ...

  3. 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,

  4. 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

  5. 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

  6. 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

  7. 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

  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 for Biological and Computational Learning and the Artificial Intelligence Laboratory of the Massachusetts

  9. 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, ...

  10. 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...

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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.

  16. 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.

  17. 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

  18. 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

  19. 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

  20. Retinal Target Cells of the Centrifugal Projection from the Isthmo-optic Nucleus

    E-Print Network [OSTI]

    Uchiyama, Hiroyuki

    Retinal Target Cells of the Centrifugal Projection from the Isthmo-optic Nucleus HIROYUKI UCHIYAMA by the axons might be essential for the overall topographic organization of the centrifugal visual system in birds. J. Comp. Neurol. 476:146­153, 2004. © 2004 Wiley-Liss, Inc. Indexing terms: retina; centrifugal

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  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. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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 ...

  3. "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...

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  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 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

  10. 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

  11. 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...

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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.

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

    E-Print Network [OSTI]

    Serpen, Gursel

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

  1. 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.

  2. 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

  3. 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.

  4. Project Year Project Team

    E-Print Network [OSTI]

    Gray, Jeffrey J.

    Project Year 2001 Project Team Faculty: Grace Brush, Geography & Environmental Engineering, Whiting School of Engineering Fellow: Dan Bain, Geography & Environmental Engineering, Whiting School. Through this project, the team proposes to develop a variety of resources: a set of general, web

  5. 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

  6. 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.

  7. 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 ...

  8. 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...

  9. 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 ...

  10. 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...

  11. 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

  12. 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

  13. 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.

  14. 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.

  15. 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

  16. 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

  17. 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:

  18. Retinal Anatomy and Physiology Vision begins at the retina, where light is converted into

    E-Print Network [OSTI]

    Duong, Timothy Q.

    plexiform layer (IPL), and the gan- glion cell layer (GCL). The signals are transmitted to the fiber nerve is mainly localized in the GCL, but projects capillaries into the INL, IPL, and OPL.1,4,5 The choroidal the retinal pigment epithelium.1,4,5 The thickness of the choroid is reported to be 25­45 m in rats.6

  19. LUABAB: Leeds University Angry Birds Artificial Brain Many of you will be familiar with the popular Angry

    E-Print Network [OSTI]

    Bennett, Brandon

    LUABAB: Leeds University Angry Birds Artificial Brain Many of you will be familiar with the popular in undergrad modules and studied at research level in the Leeds School of Computing. Several students in the Leeds School of Computing have done projects based on AI Birds (Johnathan Cook BSc, Ed Worthy MEng

  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. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

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

    E-Print Network [OSTI]

    Federspiel, William J.

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

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

    E-Print Network [OSTI]

    Federspiel, William J.

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

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. Project Year Project Team

    E-Print Network [OSTI]

    Gray, Jeffrey J.

    & Sciences Project Title Visualize Physical Principles with Virtual Lab Modules Audience Undergraduate provide easy access to digital information, but don't provide experience with right- hand screws, electric of the last generation of physics students. The result is that today's students don't have an intuitive

  7. Project Year Project Title

    E-Print Network [OSTI]

    Gray, Jeffrey J.

    . Pedagogical Issue One of the challenges in teaching the Introduction to Computer Music course is the lack flow and practices. These resources will provide an online space through which students will be able piece of this project will be an animated studio walkthrough requiring user interaction and providing

  8. 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

  9. 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 ...

  10. 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...

  11. 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

  12. 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...

  13. 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

  14. Project Controls

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

    1997-03-28

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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. Developmental Plasticity in Cartesian Genetic Programming Artificial Neural Networks

    E-Print Network [OSTI]

    Fernandez, Thomas

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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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....

  17. 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

  18. Instructor: C. Davila Project Suggestions The project for this course is worth 30% of the course grade. The aim of this project is to give you experience with

    E-Print Network [OSTI]

    Davila, Carlos E.

    processing and analysis to actual biomedical data. Here are some suggested projects: 1. Comparison of image-computer interface methods. 8. Signal processing in Doppler flowmetry. 9. Detection of epileptic seizure activity. 10. Signal processing in medical ultrasound. 11. Signal processing of EMG for control of artificial limbs. 12

  19. Products of an Artificially Induced Hydrothermal System at Yucca Mountain

    SciTech Connect (OSTI)

    S. Levy

    2000-08-07

    Studies of mineral deposition in the recent geologic past at Yucca Mountain, Nevada, address competing hypotheses of hydrothermal alteration and deposition from percolating groundwater. The secondary minerals being studied are calcite-opal deposits in fractures and lithophysal cavities of ash-flow tuffs exposed in the Exploratory Studies Facility (ESF), a 7.7-km tunnel excavated by the Yucca Mountain Site Characterization Project within Yucca Mountain. An underground field test in the ESF provided information about the minerals deposited by a short-lived artificial hydrothermal system and an opportunity for comparison of test products with the natural secondary minerals. The heating phase lasted nine months, followed by a nine-month cooling period. Natural pore fluids were the only source of water during the thermal test. Condensation and reflux of water driven away from the heater produced fluid flow in certain fractures and intersecting boreholes. The mineralogic products of the thermal test are calcite-gypsum aggregates of less than 4-micrometer crystals and amorphous silica as glassy scale less than 0.2 mm thick and as mounds of tubules with diameters less than 0.7 micrometers. The minute crystal sizes of calcite and gypsum from the field test are very different from the predominantly coarser calcite crystals (up to cm scale) in natural secondary-mineral deposits at the site. The complex micrometer-scale textures of the amorphous silica differ from the simple forms of opal spherules and coatings in the natural deposits, even though some natural spherules are as small as 1 micrometer. These differences suggest that the natural minerals, especially if they were of hydrothermal origin, may have developed coarser or simpler forms during subsequent episodes of dissolution and redeposition. The presence of gypsum among the test products and its absence from the natural secondary-mineral assemblage may indicate a higher degree of evaporation during the test than during the deposition of natural calcite-opal deposits.

  20. 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...

  1. 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

  2. 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 ...

  3. 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...

  4. 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

  5. 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

  6. 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...

  7. 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.

  8. 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 ...

  9. 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 ...

  10. 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 ...

  11. FY09 LDRD Projects 2009 Projects Page 1

    E-Print Network [OSTI]

    Ohta, Shigemi

    Assembly of Nano-Objects ­ Approaching Artificial Photosynthesis Sherman, W. CFN/463 07-027 Photocatalytic

  12. 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...

  13. 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...

  14. 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

  15. 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

  16. 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

  17. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    is provided in part by the Advanced Research Projects Agency of the Dept. of Defense. The authors were network architectures, how­ ever, are also statistical processors, characterized by making particular to distinguish three broad types of statistical modeling problem, which we shall call density estimation

  18. project management

    National Nuclear Security Administration (NNSA)

    3%2A en Project Management and Systems Support http:www.nnsa.energy.govaboutusouroperationsapmprojectmanagementandsystemssupport

  19. Project Complete

    Broader source: Energy.gov [DOE]

    DOE has published its Record of Decision announcing and explaining DOE’s chosen project alternative and describing any commitments for mitigating potential environmental impacts. The NEPA process...

  20. Project Construction

    Broader source: Energy.gov [DOE]

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

  1. Research Projects

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

    projects that involve UCSD faculty members and graduate students from the structural engineering (SE), mechanical and aerospace engineering (MAE), electrical and computer...

  2. RESEARCH PROJECTS February 13

    E-Print Network [OSTI]

    Schenato, Luca

    RESEARCH PROJECTS FP7 February 13 #12; FP7 COOPERATION #12; INTERNATIONAL RESEARCH PROJECTS FP7 COOPERATION ENERGY PROJECT ACRONYM: EFONET PROJECT TITLE: Energy foresight network PROJECT

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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.

  8. 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...

  9. 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.

  10. 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.

  11. PROJECT MANGEMENT PLAN EXAMPLES

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

    accelerates the project schedule and significantly reduces the project total life cycle cost. Current Baseline (FY99 MYWP) Revised Project Baseline Project Scope: ...

  12. 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 ...

  13. 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 ...

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. Cloudnet Project

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

    Hogan, Robin

    2008-01-15

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

  18. Cloudnet Project

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

    Hogan, Robin

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

  19. Project Overview

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass mapSpeedingProgramExemptions |(Conference) | SciTechProjectITER Project

  20. Project Tour

    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 wouldMass mapSpeedingProgramExemptions |(Conference)Project Tour Project Tour See NMSSUP from

  1. Spent Nuclear Fuel project, project management plan

    SciTech Connect (OSTI)

    Fuquay, B.J.

    1995-10-25

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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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;

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. Lemon Project Spring Symposium

    E-Print Network [OSTI]

    Fashing, Norman

    Lemon Project: A Journey of Reconciliation." The BOV defined Lemon "as a long- term research project

  10. Hydropower Projects

    SciTech Connect (OSTI)

    2015-04-02

    The Water Power Program helps industry harness this renewable, emissions-free resource to generate environmentally sustainable and cost-effective electricity. Through support for public, private, and nonprofit efforts, the Water Power Program promotes the development, demonstration, and deployment of advanced hydropower devices and pumped storage hydropower applications. These technologies help capture energy stored by diversionary structures, increase the efficiency of hydroelectric generation, and use excess grid energy to replenish storage reserves for use during periods of peak electricity demand. In addition, the Water Power Program works to assess the potential extractable energy from domestic water resources to assist industry and government in planning for our nation’s energy future. From FY 2008 to FY 2014, DOE’s Water Power Program announced awards totaling approximately $62.5 million to 33 projects focused on hydropower. Table 1 provides a brief description of these projects.

  11. PROJECT SUMMARY

    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 RankADVANCED MANUFACTURINGEnergy Bills andOrder 422.1, CONDUCT P - . . -Pathways)PROJECT SUMMARY 1 TITLE

  12. Hallmark Project

    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:FinancingPetroleum12,ExecutiveFinancing Programs |ReferencePowerHaier: OrderProject

  13. 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.

  14. 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.

  15. 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...

  16. 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.

  17. 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...

  18. 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.

  19. Custom Projects

    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 in ActinideRailCurrent ResearchInnovationCustom-Projects

  20. Project Title

    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 RankADVANCED MANUFACTURINGEnergy Bills andOrderNATIONALofDefineEnergy NationalDepartmentProjectNE I&C

  1. Project Gnome

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass mapSpeedingProgramExemptions |(Conference) | SciTechProject Gnome Double Beta Decay

  2. Project Title

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass mapSpeedingProgramExemptions |(Conference) | SciTechProjectITERFebruaryStorage

  3. About Projects

    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 of raregovAboutRecovery Act Recovery ActARM OverviewAbout GEDOE Projects

  4. Line Projects

    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 likeUniverseIMPACTThousand CubicResourcelogo and-E C H2015Tray and|Projects Pages default

  5. 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.

  6. PROJECT MANGEMENT PLAN EXAMPLES Project Organization Examples

    Energy Savers [EERE]

    is responsible for supporting the FDH and RL project offices with adequate day-to-day planning and review technical management, coordination, control, and reporting of project...

  7. PROJECT MANAGEMENT Professional Organizations

    E-Print Network [OSTI]

    Acton, Scott

    PROJECT MANAGEMENT Professional Organizations: Association of Collegiate Computing Services) Project Management Institute (PMI) Events & Training: UVA Local Support Partners (LSP) program training Project Management Institute webinars Project Management Institute events Scrum Alliance events Learning

  8. Project Management Lessons Learned

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

    2008-08-05

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

  9. PROJECT MANAGEMENT Professional Organizations

    E-Print Network [OSTI]

    Acton, Scott

    PROJECT MANAGEMENT Professional Organizations: Project Management Institute International Association of Project and Program Management (IAPPM) Events & Training: UVa Center for Leadership Excellence classes SkillSoft classes PMO Symposium through PMI Project Management Institute (PMI) webinars American

  10. Perspectives on Project Finance

    Broader source: Energy.gov [DOE]

    Plenary III: Project Finance and Investment Perspectives on Project Finance John May, Managing Partner, Stern Brothers & Co.

  11. Community Renewables Projects

    Broader source: Energy.gov [DOE]

    This webinar covered introduction and barriers to individual renewable projects, resources for community and group buy projects, and permitting guidelines.

  12. Brookhaven National Laboratory FY 2008 LDRD PROJECTS

    E-Print Network [OSTI]

    Ohta, Shigemi

    -025 Precision Assembly of Nano-Objects ­ Approaching Artificial Photosynthesis W. Sherman CFN/463 07

  13. Computer Vision Project Topics Project Reports

    E-Print Network [OSTI]

    Zhu, Zhigang

    (contour projection?). step5: choose a tolerance value(3 or 5 pixels) to evaluate the image with eachComputer Vision Project Topics CSc I6716 Spring2011 #12;Project Reports 1. Introduction (problem up with Nikolaos Markou? · Key Components ­ The project is to find a target image from bunch

  14. Project Final Report UBC LBS Project Services1 Project Final Report UBC LBS Project Services2

    E-Print Network [OSTI]

    is used as a foundation for all development, land use, and transportation activities at UBC. LBS Project Services is a fee-for-service provider of development, design, and project management servicesProject Final Report UBC LBS Project Services1 #12;Project Final Report UBC LBS Project Services2

  15. 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.

  16. 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.

  17. 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

  18. 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

  19. 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

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

    E-Print Network [OSTI]

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

    2006-01-01

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

  1. 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:...

  2. 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

  3. 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...

  4. 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

  5. Projective ML Didier Remy

    E-Print Network [OSTI]

    Rémy, Didier

    Projective ML Didier Remy INRIA-Rocquencourt Apr 10, 1992 Abstract We propose a projective lambda calculus as the ba- sis for operations on records. Projections operate on elevations, that is, records projective ML from this calculus by adding the ML Let typing rule to the simply typed projective calculus. We

  6. Project Reports for Haida Corporation- 2010 Project

    Office of Energy Efficiency and Renewable Energy (EERE)

    The Reynolds Creek Hydroelectric Project ("Reynolds Creek" or the "Project") is a 5 MW hydroelectric resource to be constructed on Prince of Wales Island, Alaska, approximately 10 miles east of Hydaburg.

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. "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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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.

  3. Project Selection - Record Keeping 

    E-Print Network [OSTI]

    Howard, Jeff W.

    2005-05-10

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

  4. 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

  5. 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

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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

  11. 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

  12. 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...

  13. Clean Coal Projects (Virginia)

    Broader source: Energy.gov [DOE]

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

  14. 2016 Technology Innovation Projects

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

    Projects FY 2016 Technology Innovation Project Briefs Demand Response TIP 292: Advanced Heat Pump Water Heater Research TIP 336: Scaled Deployment and Demonstration of Demand...

  15. Contract/Project Management

    Office of Environmental Management (EM)

    Contract and Project Management Performance Metrics and Targets 1 ContractProject Management Primary Performance Metrics FY 2011 Target FY 2011 Actual & Forecast FY 2011...

  16. Contract/Project Management

    Office of Environmental Management (EM)

    and Project Management Improvement Performance Metrics and Targets 1 ContractProject Management Primary Performance Metrics FY 2011 Target FY 2011 Forecast FY 2011 Pre- &...

  17. Contract/Project Management

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

    Contract and Project Management Performance Metrics and Targets 1 ContractProject Management Primary Performance Metrics FY 2010 Target FY 2010 Actual FY 2010 Pre- &...

  18. Contract/Project Management

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

    Contract and Project Management Performance Metrics and Targets 1 ContractProject Management Primary Performance Metrics FY 2010 Target FY 2010 Forecast FY 2010 Pre- &...

  19. Contract/Project Management

    Energy Savers [EERE]

    and Project Management Improvement Performance Metrics and Targets 1 ContractProject Management Performance Metric FY 2012 Target FY 2012 Forecast FY 2012 Pre- & Post-CAP...

  20. Contract/Project Management

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

    and Project Management Improvement Performance Metrics and Targets 1 ContractProject Management Performance Metric FY 2012 Target FY 2012 Final FY 2012 Pre- & Post-CAP Final...

  1. Contract/Project Management

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

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

  2. Contract/Project Management

    Office of Environmental Management (EM)

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

  3. Contract/Project Management

    Office of Environmental Management (EM)

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

  4. Contract/Project Management

    Energy Savers [EERE]

    Third Quarter Overall Contract and Project Management Improvement Performance Metrics and Targets 1 ContractProject Management Performance Metric FY 2012 Target FY 2012 Forecast...

  5. Project 1640 Palomar Procedures

    E-Print Network [OSTI]

    Project 1640 Palomar Procedures Version 0.1 7/7/08 2:11:08 PM #12;2 Project 1640 Design..................................................................................................................... 1 Palomar Procedures

  6. Project Finance and Investments

    Broader source: Energy.gov [DOE]

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

  7. Falls Creek Hydroelectric Project

    SciTech Connect (OSTI)

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

    2007-06-12

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

  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. 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

  13. 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

  14. 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

  15. 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

  16. RAVEN: a GUI and an Artificial Intelligence Engine in a Dynamic PRA Framework

    SciTech Connect (OSTI)

    C. Rabiti; D. Mandelli; A. Alfonsi; J. Cogliati; R. Kinoshita; D. Gaston; R. Martineau; C. Curtis

    2013-06-01

    Increases in computational power and pressure for more accurate simulations and estimations of accident scenario consequences are driving the need for Dynamic Probabilistic Risk Assessment (PRA) [1] of very complex models. While more sophisticated algorithms and computational power address the back end of this challenge, the front end is still handled by engineers that need to extract meaningful information from the large amount of data and build these complex models. Compounding this problem is the difficulty in knowledge transfer and retention, and the increasing speed of software development. The above-described issues would have negatively impacted deployment of the new high fidelity plant simulator RELAP-7 (Reactor Excursion and Leak Analysis Program) at Idaho National Laboratory. Therefore, RAVEN that was initially focused to be the plant controller for RELAP-7 will help mitigate future RELAP-7 software engineering risks. In order to accomplish this task, Reactor Analysis and Virtual Control Environment (RAVEN) has been designed to provide an easy to use Graphical User Interface (GUI) for building plant models and to leverage artificial intelligence algorithms in order to reduce computational time, improve results, and help the user to identify the behavioral pattern of the Nuclear Power Plants (NPPs). In this paper we will present the GUI implementation and its current capability status. We will also introduce the support vector machine algorithms and show our evaluation of their potentiality in increasing the accuracy and reducing the computational costs of PRA analysis. In this evaluation we will refer to preliminary studies performed under the Risk Informed Safety Margins Characterization (RISMC) project of the Light Water Reactors Sustainability (LWRS) campaign [3]. RISMC simulation needs and algorithm testing are currently used as a guidance to prioritize RAVEN developments relevant to PRA.

  17. Livingston Campus Geothermal Project The Project

    E-Print Network [OSTI]

    Delgado, Mauricio

    Livingston Campus Geothermal Project The Project: Geothermal power is a cost effective, reliable is a Closed Loop Geothermal System involving the removal and storage of approximately four feet of dirt from the entire Geothermal Field and the boring of 321 vertical holes reaching a depth of 500 feet. These holes

  18. 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

  19. 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.

  20. 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.

  1. Discrete Calderon's projections on parallelepipeds and their application to computing exterior magnetic fields for FRC plasmas

    SciTech Connect (OSTI)

    Kansa, E., E-mail: edwardjkansa@netzero.com [Computational Sciences, LLC, 8000 Madison Blvd., Madison, AL 35758-2035 (United States); Shumlak, U., E-mail: shumlak@uw.edu [Computational Sciences, LLC, 8000 Madison Blvd., Madison, AL 35758-2035 (United States); Aerospace and Energetics Research Program, University of Washington, Box 352250, Seattle, WA 98195 (United States); Tsynkov, S., E-mail: tsynkov@math.ncsu.edu [Computational Sciences, LLC, 8000 Madison Blvd., Madison, AL 35758-2035 (United States); Department of Mathematics, North Carolina State University, Box 8205, Raleigh, NC 27695 (United States)

    2013-02-01

    Confining dense plasma in a field reversed configuration (FRC) is considered a promising approach to fusion. Numerical simulation of this process requires setting artificial boundary conditions (ABCs) for the magnetic field because whereas the plasma itself occupies a bounded region (within the FRC coils), the field extends from this region all the way to infinity. If the plasma is modeled using single fluid magnetohydrodynamics (MHD), then the exterior magnetic field can be considered quasi-static. This field has a scalar potential governed by the Laplace equation. The quasi-static ABC for the magnetic field is obtained using the method of difference potentials, in the form of a discrete Calderon boundary equation with projection on the artificial boundary shaped as a parallelepiped. The Calderon projection itself is computed by convolution with the discrete fundamental solution on the three-dimensional Cartesian grid.

  2. 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 ...

  3. 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 ...

  4. 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

  5. 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; ...

  6. 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 ...

  7. 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

  8. 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

  9. 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

  10. 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 ...

  11. 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...

  12. 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 ...

  13. 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...

  14. 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 ...

  15. 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

  16. 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...

  17. 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

  18. 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...

  19. 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 ...

  20. 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

  1. 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...

  2. 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 ...

  3. The application of neural networks with artificial intelligence technique in the modeling of industrial processes

    SciTech Connect (OSTI)

    Saini, K. K.; Saini, Sanju [CDLM engg. College Panniwala Mota, Sirsa and Murthal, Sonipat, Haryana (India)

    2008-10-07

    Neural networks are a relatively new artificial intelligence technique that emulates the behavior of biological neural systems in digital software or hardware. These networks can 'learn', automatically, complex relationships among data. This feature makes the technique very useful in modeling processes for which mathematical modeling is difficult or impossible. The work described here outlines some examples of the application of neural networks with artificial intelligence technique in the modeling of industrial processes.

  4. 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 ...

  5. Utilization of artificial nesting cavities by wood ducks (Aix sponsa) in central Texas 

    E-Print Network [OSTI]

    Labuda, Stephen Edward

    1977-01-01

    UTILIZATION OF ARTIFICIAL NESTING CAVITIES BY WOOD DUCKS (Aix ~sonsa) IN CENTRAL TEXAS A Thesis by STEPHEN EDWARD LABUDA, JR. Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement for the degree... of MASTER OF SCIENCE May 1977 Major Subject: Wildlife and Fisheries Sciences UTILIZATION OF ARTIFICIAL NESTING CAVITIES BY WOOD DUCKS (Aix ~sonsa) IN CENTRAL TEXAS A Thesis by STEPHEN EDWARD LABUDA, JR. Approved as to style and content by: Chairman...

  6. A case study, artificial insemination versus natural breeding at Overland Farms, Ft. Worth, Texas 

    E-Print Network [OSTI]

    Migues, Loraine C.

    1985-01-01

    Record of Study A Case Study: Artificial Insemination Versus Natural Breeding at Overland Farms, Ft. Worth, Texas A PROFESSIONAL PAPER by Loraine C. Migues Submitted to the College of Agriculture of Texas A 6 M University in partial... fulfillment of the requirements for the degree of MASTER OF AGRICULTURE August, 1985 Major Subject: Animal Science Department of Animal Science A Case Study: Artificial Insemination Versus Natural Breeding at Overland Farms, Ft. Worth, Texas A...

  7. Fixed time artificial insemination of sheep using cervical and intrauterine insemination techniques 

    E-Print Network [OSTI]

    Bell, James H

    1992-01-01

    Record of Study FIXED TIME ARTIFICIAL INSEMINATION OF SHEEP USING CERVICAL AND INTRAUTERINE INSEMINATION TECHNIQUES A PROFESSIONAL PAPER by James H. Bell Submitted to the College of Agriculture of Texas A&M University in partial fulfillment... of the requirements for the degree of MASTER OF AGRICULTURE August 1992 Animal Science Physiology of Reproduction FIXED TIME ARTIFICIAL INSEMINATION OF SHEEP USING CERVICAL AND INTRAUTERINE INSEMINATION TECHNIQUES A Professional Paper by James Bell Approved...

  8. A comparison of conception rates between artificial insemination and natural breeding of mares 

    E-Print Network [OSTI]

    Miller, John Arthur

    1988-01-01

    Record of Study A COMPARISON OF CONCEPTION RATES BETWEEN ARTIFICIAL INSEMINATION AND NATURAL BREEDING OF MARES A PROFESSIONAL PAPER by JOHN ARTHUR MILLER Submitted to the College of Agriculture of Texas A&M University in partial fulfillment... of the requirements for the degree of MASTER OF AGRICULTURE May, 1988 Animal Science Equine Breeding Management A COMPARISON OF CONCEPTION RATES BETWEEN ARTIFICIAL INSEMINATION AND NATURAL BREEDING OF MARES A Professional Paper by John Arthur Miller Approved...

  9. Optimum time for artificial insemination of the bovine species at various times of the year 

    E-Print Network [OSTI]

    Broadway, John Louis

    1973-01-01

    OPTIMUM TIME FOR ARTIFICIAL INSEMINATION OF THE BOVINE SPECIES AT VARIOUS TIMES OF THE YEAR A Thesis by JOHN LOUIS BROAUNAY, III Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement... for the degree of MASTER OF SCIENCE December 1973 Major Subject; Physiology of Reproduction OPTIMUM TIME FOR ARTIFICIAL INSEMINATION OP THE BOVINE SPECIES AT VARIOUS TIMES OF THE YEAR A Thesis by JOHN LOUIS BROAINAY, III Approved as to style and content...

  10. Elio, R., Haddadi, A., & Singh, A. (2000). Task models, intentions, and agent communication. Lecture Notes in Artificial Intelligence 1886: Proceedings of the Pacific Rim Conference on AI

    E-Print Network [OSTI]

    Elio, Renée

    2000-01-01

    . Lecture Notes in Artificial Intelligence 1886: Proceedings of the Pacific Rim Conference on AI (PRICAI

  11. Secretary Bodman in Illinois Highlights Scientific Research Investment...

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

    precious gems are used in applications for cell phones, artificial retinas and biosensors. To bolster investments in science necessary to develop advanced technologies,...

  12. Judge Evaluation Scoring Form for Project Technical Report PROJECT .#.: ..Project Title......

    E-Print Network [OSTI]

    Dahlberg, Teresa A.

    Judge Evaluation Scoring Form for Project Technical Report PROJECT .#.: ..Project Title of the project?) Excellent Very Good Good Fair Unsatisfactory COMMENTS: #12;Judge Evaluation Scoring Form for REU) #12;Judge Evaluation Scoring Form for Poster Presentation PROJECT.#.: ...Title.. PARTICIPANTS: DATE

  13. Allowed and forbidden transitions in artificial hydrogen and helium atoms

    E-Print Network [OSTI]

    Zumbühl, Dominik

    , Ottawa, Ontario K1A 0R6, Canada CREST Interacting Carrier Electron Project, 4-1-8 Honmachi, Kawaguchi of the material6 . Here we report electrical pump-and-probe experi- ments that probe the allowed and `forbidden by tunnelling spectroscopy, in which a peak in the derivative of the (source­drain) current with respect

  14. Sample Project Execution Plan

    Broader source: Energy.gov [DOE]

    The project execution plan (PEP) is the governing document that establishes the means to execute, monitor, and control projects.  The plan serves as the main communication vehicle to ensure that...

  15. Haida Corporation- 2010 Project

    Office of Energy Efficiency and Renewable Energy (EERE)

    The Reynolds Creek Hydroelectric Project ("Reynolds Creek" or the "Project") is a 5 MW hydroelectric resource to be constructed on Prince of Wales Island, Alaska, approximately 10 miles east of Hydaburg.

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

    E-Print Network [OSTI]

    Basin Fish and Wildlife Mitigation ProjectMitigation Project Established by the CTUIR in 1995Established by the CTUIR in 1995 Provides dual benefit to fish and wildlifeProvides dual benefit to fish and wildlife while

  17. Rooftop Unit Network Project

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

    Network Project RTU Network Project Michael Brambley, Ph.D. Pacific Northwest National Laboratory Michael.Brambley@pnnl.gov (509) 375-6875 April 4, 2013 2 | Building Technologies...

  18. Contract/Project Management

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

    100% Post-CAP This is based on a 3-year rolling average (FY10). TPC is Total Project Cost. 3. Certified EVM Systems: Post CD-3, 95% of line item projects and EM cleanup...

  19. Planning the Project Meeting 

    E-Print Network [OSTI]

    Howard, Jeff W.

    2005-05-10

    Project group meetings must be planned well in advance. Members should be involved in completing some type of work before the next meeting. This helps the leader plan the next project meeting and makes efficient use of time.

  20. The 4-H Project 

    E-Print Network [OSTI]

    Howard, Jeff W.

    2005-05-10

    As a 4-H volunteer, you will find that projects are useful tools for teaching a wide variety of skills to young people. This publication will help you plan and evaluate 4-H learning projects.

  1. Contract/Project Management

    Energy Savers [EERE]

    on a 3-year rolling average (FY09 to FY11). TPC is Total Project Cost. 2a. EM Cleanup (Soil and Groundwater Remediation, D&D, and Waste Treatment and Disposal) Projects: (Pre-...

  2. Rabbit Project Reference Manual 

    E-Print Network [OSTI]

    Wootton, Chad

    2000-05-04

    This publication explains how to raise rabbits for a 4-H rabbit project. It discusses project options; breeds; equipment; breeding and kindling; sanitation; diseases, parasites and illnesses; processing; marketing; and grooming and showing. Although...

  3. Contract/Project Management

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

    within 12 months of the original CD- 34 duration. 90% 91% FY10-FY12 Seventy completions to date. Schedule Compliance, Projects greater than 5 years Duration: Projects will...

  4. Infrastructure Projects | Jefferson Lab

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

    conditions for many, as well as a change to the layout of the laboratory due to ancillary projects. The project has received approval to make early purchases in the...

  5. Information Technology Project Management

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

    2012-12-03

    The Order provides program and project management direction for the acquisition and management of IT projects, investments, and initiatives. Cancels DOE G 200.1-1. Admin Chg 1 approved 1-16-2013.

  6. GHPsRUS Project

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

    Battocletti, Liz

    The GHPsRUS Project's full name is "Measuring the Costs and Benefits of Nationwide Geothermal Heat Pump Deployment." The dataset contains employment and installation price data collected by four economic surveys: (1)GHPsRUS Project Manufacturer & OEM Survey, (2) GHPsRUS Project Geothermal Loop Survey, (3) GHPsRUS Project Mechanical Equipment Installation Survey, and (4) GHPsRUS Geothermal Heat Pump Industry Survey

  7. WIPP Projects Interative Map

    Broader source: Energy.gov [DOE]

    View WIPP Projects in a larger map. To report corrections, please email WeatherizationInnovation@ee.doe.gov.

  8. GHPsRUS Project

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

    Battocletti, Liz

    2013-07-09

    The GHPsRUS Project's full name is "Measuring the Costs and Benefits of Nationwide Geothermal Heat Pump Deployment." The dataset contains employment and installation price data collected by four economic surveys: (1)GHPsRUS Project Manufacturer & OEM Survey, (2) GHPsRUS Project Geothermal Loop Survey, (3) GHPsRUS Project Mechanical Equipment Installation Survey, and (4) GHPsRUS Geothermal Heat Pump Industry Survey

  9. Ferdinand Project Middleware List

    E-Print Network [OSTI]

    ://java.dzone.com/articles/case-study-how-lastfm-uses] - hornetq-vm: VM for testing of clustered scenarios [http://sourceforge.net/projects/hornetq-vm/] EvaluationFerdinand Project Middleware List Jaroslav Keznikl2 , Michal Malohlava1 , Lukás Marek1 , Petr Tma1 phone +420-266053831 #12;FERDINAND PROJECT MIDDLEWARE LIST PURPOSE The purpose of this report

  10. TEAM PROJECT: WORKING PROTOTYPE

    E-Print Network [OSTI]

    .) Value: the report is worth 10% of the Team Project grade. #12;Next steps: You will evaluateTEAM PROJECT: WORKING PROTOTYPE Due: Week of April 5-8 at time to be scheduled with GTA Format that will be polished into the final project for which you will create a final report and give a final presentation

  11. Project Description 1 Introduction

    E-Print Network [OSTI]

    VanDeGrift, Tammy

    Project Description 1 Introduction This project will investigate "commonsense computing": what, and 3. Apply our findings to changes in classroom pedagogy in ways that can be rigorously evalu- ated. 1 0736572 #12;In the exploratory part of this project, which we are proposing here, we will concentrate

  12. Kansas Advanced Semiconductor Project

    SciTech Connect (OSTI)

    Baringer, P.; Bean, A.; Bolton, T.; Horton-Smith, G.; Maravin, Y.; Ratra, B.; Stanton, N.; von Toerne, E.; Wilson, G.

    2007-09-21

    KASP (Kansas Advanced Semiconductor Project) completed the new Layer 0 upgrade for D0, assumed key electronics projects for the US CMS project, finished important new physics measurements with the D0 experiment at Fermilab, made substantial contributions to detector studies for the proposed e+e- international linear collider (ILC), and advanced key initiatives in non-accelerator-based neutrino physics.

  13. PROJECT MANGEMENT PLAN EXAMPLES Prepare Project Support Plans...

    Energy Savers [EERE]

    qualitativelysubjectively assess the project risk. The approach is modeled after project risk assessment processes outlined in standard project management texts and training...

  14. Surface daytime net radiation estimation using artificial neural networks

    SciTech Connect (OSTI)

    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 1991–2010 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.

  15. From: Ophthalmology Research: Visual Prosthesis and Ophthalmic Devices: New Hope in Sight Edited by: J. Tombran-Tink, C. Barnstable, and J. F. Rizzo Humana Press Inc., Totowa, NJ

    E-Print Network [OSTI]

    Boahen, Kwabena

    ). To encode its signals into spike patterns for transmission to higher processing centers, the retina has and the inner retina. Each local retinal microcircuit plays a specific role in the retina's function processing. These physiological functions can be replicated in artificial systems by emulating

  16. BEACON SOLAR ENERGY PROJECT (08-AFC-2) Project Title: Beacon Solar Energy Project (Beacon)

    E-Print Network [OSTI]

    BEACON SOLAR ENERGY PROJECT (08-AFC-2) FACT SHEET Project Title: Beacon Solar Energy Project and operate the Beacon Solar Energy Project (Beacon). Location: The project is located in eastern Kern County;BEACON SOLAR ENERGY PROJECT (08-AFC-2) FACT SHEET Licensing: The Beacon project would have a nominal

  17. National Compact Stellarator Experiment Project Closeout Report PROJECT CLOSEOUT REPORT

    E-Print Network [OSTI]

    Princeton Plasma Physics Laboratory

    Approved by Jeffrey Makiel DOE Federal Project Director for the National Compact Stellarator Experiment II.....................................................................................1 3. PROJECT HISTORY

  18. PROJECT MANGEMENT PLAN EXAMPLES Prepare Project Support Plans...

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

    addressing the following key elements of project management and control: Project Management Control System (PMCS) - Work breakdown structure - Baseline developmentupdate...

  19. Project Surveillance and Maintenance Plan. [UMTRA Project

    SciTech Connect (OSTI)

    Not Available

    1985-09-01

    The Project Surveillance and Maintenance Plan (PSMP) describes the procedures that will be used by the US Department of Energy (DOE), or other agency as designated by the President to verify that inactive uranium tailings disposal facilities remain in compliance with licensing requirements and US Environmental Protection Agency (EPA) standards for remedial actions. The PSMP will be used as a guide for the development of individual Site Surveillance and Maintenance Plans (part of a license application) for each of the UMTRA Project sites. The PSMP is not intended to provide minimum requirements but rather to provide guidance in the selection of surveillance measures. For example, the plan acknowledges that ground-water monitoring may or may not be required and provides the (guidance) to make this decision. The Site Surveillance and Maintenance Plans (SSMPs) will form the basis for the licensing of the long-term surveillance and maintenance of each UMTRA Project site by the NRC. Therefore, the PSMP is a key milestone in the licensing process of all UMTRA Project sites. The Project Licensing Plan (DOE, 1984a) describes the licensing process. 11 refs., 22 figs., 8 tabs.

  20. The CHPRC Columbia River Protection Project Quality Assurance Project Plan

    SciTech Connect (OSTI)

    Fix, N. J.

    2008-11-30

    Pacific Northwest National Laboratory researchers are working on the CHPRC Columbia River Protection Project (hereafter referred to as the Columbia River Project). This is a follow-on project, funded by CH2M Hill Plateau Remediation Company, LLC (CHPRC), to the Fluor Hanford, Inc. Columbia River Protection Project. The work scope consists of a number of CHPRC funded, related projects that are managed under a master project (project number 55109). All contract releases associated with the Fluor Hanford Columbia River Project (Fluor Hanford, Inc. Contract 27647) and the CHPRC Columbia River Project (Contract 36402) will be collected under this master project. Each project within the master project is authorized by a CHPRC contract release that contains the project-specific statement of work. This Quality Assurance Project Plan provides the quality assurance requirements and processes that will be followed by the Columbia River Project staff.

  1. Structuring small projects

    SciTech Connect (OSTI)

    Pistole, C.O.

    1995-11-01

    One of the most difficult hurdles facing small project developers is obtaining financing. Many major banks and institutional investors are unwilling to become involved in projects valued at less than $25 million. To gain the interest of small project investors, developers will want to present a well-considered plan and an attractive rate of return. Waste-to-energy projects are one type that can offer diversified revenue sources that assure maximum profitability. The Ripe Touch Greenhouse project, a $14.5 million waste tire-to-energy facility in Colorado, provides a case study of how combining the strengths of the project partners can help gain community and regulatory acceptance and maximize profit opportunities.

  2. Battleground Energy Recovery Project

    SciTech Connect (OSTI)

    Daniel Bullock

    2011-12-31

    In October 2009, the project partners began a 36-month effort to develop an innovative, commercial-scale demonstration project incorporating state-of-the-art waste heat recovery technology at Clean Harbors, Inc., a large hazardous waste incinerator site located in Deer Park, Texas. With financial support provided by the U.S. Department of Energy, the Battleground Energy Recovery Project was launched to advance waste heat recovery solutions into the hazardous waste incineration market, an area that has seen little adoption of heat recovery in the United States. The goal of the project was to accelerate the use of energy-efficient, waste heat recovery technology as an alternative means to produce steam for industrial processes. The project had three main engineering and business objectives: Prove Feasibility of Waste Heat Recovery Technology at a Hazardous Waste Incinerator Complex; Provide Low-cost Steam to a Major Polypropylene Plant Using Waste Heat; and ï?· Create a Showcase Waste Heat Recovery Demonstration Project.

  3. Operational Waste Volume Projection

    SciTech Connect (OSTI)

    STRODE, J.N.

    2000-08-28

    Waste receipts to the double-shell tank system are analyzed and wastes through the year 2015 are projected based on generation trends of the past 12 months. A computer simulation of site operations is performed, which results in projections of tank fill schedules, tank transfers, evaporator operations, tank retrieval, and aging waste tank usage. This projection incorporates current budget planning and the clean-up schedule of the Tri-Party Agreement. Assumptions were current as of June. 2000.

  4. Microwave solidification project overview

    SciTech Connect (OSTI)

    Sprenger, G.

    1993-01-01

    The Rocky Flats Plant Microwave Solidification Project has application potential to the Mixed Waste Treatment Project and the The Mixed Waste Integrated Program. The technical areas being addressed include (1) waste destruction and stabilization; (2) final waste form; and (3) front-end waste handling and feed preparation. This document covers need for such a program; technology description; significance; regulatory requirements; and accomplishments to date. A list of significant reports published under this project is included.

  5. Operational Waste Volume Projection

    SciTech Connect (OSTI)

    STRODE, J.N.

    1999-08-24

    Waste receipts to the double-shell tank system are analyzed and wastes through the year 2018 are projected based on assumption as of July 1999. A computer simulation of site operations is performed, which results in projections of tank fill schedules, tank transfers, evaporator operations, tank retrieval, and aging waste tank usage. This projection incorporates current budget planning and the clean-up schedule of the Tri-Party Agreement.

  6. Mascoma: Frontier Biorefinery Project

    Broader source: Energy.gov [DOE]

    This project involves the construction and operation of a biorefinery that produces ethanol and other co-products from cellulosic materials through advanced consolidated bioprocessing.

  7. Integrated Project Team RM

    Office of Environmental Management (EM)

    acquisition process and will be utilized during all phases of a project life cycle. The IPT is a team of professionals representing diverse disciplines with the specific...

  8. Mentors and Projects

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

    ideas. Borovsky, Joe Mentor Joe Borovsky General Interests Magnetospheric physics, solar-wind physics, solar-windmagnetosphere coupling Suggested Project Topics Theory and...

  9. Penobscot Tribe- 2012 Project

    Broader source: Energy.gov [DOE]

    With this award, the Penobscot Indian Nation will advance the preconstruction activities required to secure funding for the proposed 227-megawatt (MW) Alder Stream wind project.

  10. Bacteria TMDL Projects 

    E-Print Network [OSTI]

    Wythe, Kathy

    2007-01-01

    stream_source_info Bacteria TMDL projects.pdf.txt stream_content_type text/plain stream_size 2550 Content-Encoding ISO-8859-1 stream_name Bacteria TMDL projects.pdf.txt Content-Type text/plain; charset=ISO-8859-1 tx H2O... of the projects are listed below. ? Peach CreekWater Quality Improvement Project ? Monitoring and Educational Programs Focused on Bacteria and Nutrient Runoff on Dairy Operations in the LeonWatershed ? Development of the Plum CreekWPP ? Impact of Proper...

  11. Whistling Ridge Energy Project

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

    build, own and operate the wind project and their associated facilities. The Final Environmental Impact Statement (FEIS) has been issued for the proposed Whistling Ridge...

  12. TThe {\\sc Majorana} Project

    E-Print Network [OSTI]

    The MAJORANA collaboration

    2009-10-23

    The {\\sc Majorana} Project, a neutrinoless double-beta decay experiment is described with an emphasis on the choice of Ge-detector configuration.

  13. The MAJORANA project

    SciTech Connect (OSTI)

    Elliott, Steven R [Los Alamos National Laboratory

    2009-01-01

    The Majorana Project, a neutrinoless double-beta decay experiment is described with an emphasis on the choice of Ge-detector configuration.

  14. Power Systems Past Projects

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

    loop and its six associated substations. An upgrade of the INL loop, designed by Power Systems personnel, was completed in 1997. This project consists of transmission line...

  15. Vibration monitoring of EDF rotating machinery using artificial neural networks

    SciTech Connect (OSTI)

    Alguindigue, I.E.; Loskiewicz-Buczak, A.; Uhrig, R.E. (Tennessee Univ., Knoxville, TN (United States). Dept. of Nuclear Engineering); Hamon, L.; Lefevre, F. (Electricite de France, 78 - Chatou (France). Direction des Etudes et Recherches)

    1991-01-01

    Vibration monitoring of components in nuclear power plants has been used for a number of years. This technique involves the analysis of vibration data coming from vital components of the plant to detect features which reflect the operational state of machinery. The analysis leads to the identification of potential failures and their causes, and makes it possible to perform efficient preventive maintenance. Earlydetection is important because it can decrease the probability of catastrophic failures, reduce forced outgage, maximize utilization of available assets, increase the life of the plant, and reduce maintenance costs. This paper documents our work on the design of a vibration monitoring methodology based on neural network technology. This technology provides an attractive complement to traditional vibration analysis because of the potential of neural networks to operate in real-time mode and to handle data which may be distorted or noisy. Our efforts have been concentrated on the analysis and classification of vibration signatures collected by Electricite de France (EDF). Two neural networks algorithms were used in our project: the Recirculation algorithm and the Backpropagation algorithm. Although this project is in the early stages of development it indicates that neural networks may provide a viable methodology for monitoring and diagnostics of vibrating components. Our results are very encouraging.

  16. Vibration monitoring of EDF rotating machinery using artificial neural networks

    SciTech Connect (OSTI)

    Alguindigue, I.E.; Loskiewicz-Buczak, A.; Uhrig, R.E. [Tennessee Univ., Knoxville, TN (United States). Dept. of Nuclear Engineering; Hamon, L.; Lefevre, F. [Electricite de France, 78 - Chatou (France). Direction des Etudes et Recherches

    1991-12-31

    Vibration monitoring of components in nuclear power plants has been used for a number of years. This technique involves the analysis of vibration data coming from vital components of the plant to detect features which reflect the operational state of machinery. The analysis leads to the identification of potential failures and their causes, and makes it possible to perform efficient preventive maintenance. Earlydetection is important because it can decrease the probability of catastrophic failures, reduce forced outgage, maximize utilization of available assets, increase the life of the plant, and reduce maintenance costs. This paper documents our work on the design of a vibration monitoring methodology based on neural network technology. This technology provides an attractive complement to traditional vibration analysis because of the potential of neural networks to operate in real-time mode and to handle data which may be distorted or noisy. Our efforts have been concentrated on the analysis and classification of vibration signatures collected by Electricite de France (EDF). Two neural networks algorithms were used in our project: the Recirculation algorithm and the Backpropagation algorithm. Although this project is in the early stages of development it indicates that neural networks may provide a viable methodology for monitoring and diagnostics of vibrating components. Our results are very encouraging.

  17. A Neural Network Model for Construction Projects Site Overhead Cost Estimating in Egypt

    E-Print Network [OSTI]

    ElSawy, Ismaail; Razek, Mohammed Abdel

    2011-01-01

    Estimating of the overhead costs of building construction projects is an important task in the management of these projects. The quality of construction management depends heavily on their accurate cost estimation. Construction costs prediction is a very difficult and sophisticated task especially when using manual calculation methods. This paper uses Artificial Neural Network (ANN) approach to develop a parametric cost-estimating model for site overhead cost in Egypt. Fifty-two actual real-life cases of building projects constructed in Egypt during the seven year period 2002-2009 were used as training materials. The neural network architecture is presented for the estimation of the site overhead costs as a percentage from the total project price.

  18. Microfluidic propulsion by the metachronal beating of magnetic artificial cilia: a numerical analysis

    E-Print Network [OSTI]

    Khaderi, Syed; Onck, Patrick

    2011-01-01

    In this work we study the effect of metachronal waves on the flow created by magnetically-driven plate-like artificial cilia in microchannels using numerical simulations. The simulations are performed using a coupled magneto-mechanical solid-fluid computational model that captures the physical interactions between the fluid flow, ciliary deformation and applied magnetic field. When a rotating magnetic field is applied to super-paramagnetic artificial cilia, they mimic the asymmetric motion of natural cilia, consisting of an effective and recovery stroke. When a phase-difference is prescribed between neighbouring cilia, metachronal waves develop. Due to the discrete nature of the cilia, the metachronal waves change direction when the phase difference becomes sufficiently large, resulting in antiplectic as well as symplectic metachrony. We show that the fluid flow created by the artificial cilia is significantly enhanced in the presence of metachronal waves and that the fluid flow becomes unidirectional. Antipl...

  19. Realizing three-dimensional artificial spin ice by stacking planar nano-arrays

    SciTech Connect (OSTI)

    Chern, Gia-Wei; Reichhardt, Charles; Nisoli, Cristiano

    2014-01-06

    Artificial spin ice is a frustrated magnetic two-dimensional nano-material, recently employed to study variety of tailor-designed unusual collective behaviours. Recently proposed extensions to three dimensions are based on self-assembly techniques and allow little control over geometry and disorder. We present a viable design for the realization of a three-dimensional artificial spin ice with the same level of precision and control allowed by lithographic nano-fabrication of the popular two-dimensional case. Our geometry is based on layering already available two-dimensional artificial spin ice and leads to an arrangement of ice-rule-frustrated units, which is topologically equivalent to that of the tetrahedra in a pyrochlore lattice. Consequently, we show, it exhibits a genuine ice phase and its excitations are, as in natural spin ice materials, magnetic monopoles interacting via Coulomb law.

  20. Project Reports for Kootznoowoo Incorporated- 2010 Project

    Office of Energy Efficiency and Renewable Energy (EERE)

    Thayer Lake Hydropower Development (TLHD) consists of a 1 MW+ run of the river hydropower project located in the Tongass Forest in the Admiralty Island National Monument Park that will provide the energy to the City of Angoon and Angoon Community Association (traditional tribe as recognized by Indian Reorganization Act).

  1. 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.

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

    E-Print Network [OSTI]

    Magyar, Stephen John

    1986-01-01

    OBSERVATION OF THE CERVIX AliD ARTIFICIAL INSEMINATION IN CAPTIVE WHITE-TAILED DEER A Thesis by STEPHEN JOHN MAGYAR Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER... OF SCIENCE August 1986 Major Subject: Veterinary Physiology OBSERVATION OF THE CERVIX AND ARTIFICIAL INSEMINATION IN CAPTIVE WHITE-TAILED DEER A Thesis by STEPHEN JOHN MAGYAR Approved as to style and content by: Stephen W. J. Sea er (Chairman of Co...

  3. Effects of exchange bias on magnetotransport in permalloy kagome artificial spin ice

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

    Le, B. L.; Rench, D. W.; Misra, R.; O’Brien, L.; Leighton, C.; Samarth, N.; Schiffer, P.

    2015-02-01

    We investigate the magnetotransport properties of connected kagome artificial spin ice networks composed of permalloy nanowires. Our data show clear evidence of magnetic switching among the wires, both in the longitudinal and transverse magnetoresistance. An unusual asymmetry with field sweep direction appears at temperatures below about 20 K that appears to be associated with exchange bias resulting from surface oxidation of permalloy, and which disappears in alumina-capped samples. These results demonstrate that exchange bias is a phenomenon that must be considered in understanding the physics of such artificial spin ice systems, and that opens up new possibilities for their control.

  4. The Danger Theory and Its Application to Artificial Immune Proceedings of the 1st Internat Conference on ARtificial Immune Systems (ICARIS-2002), pp 141-148, Canterbury, UK, 2002.

    E-Print Network [OSTI]

    Francalanza, Adrian

    The Danger Theory and Its Application to Artificial Immune Systems Proceedings of the 1st Internat the Danger Theory. In this conceptual paper, we look at this theory from the perspective of Artificial Immune System practitioners. An overview of the Danger Theory is presented with particular emphasis on analogies

  5. The human genome project

    SciTech Connect (OSTI)

    Yager, T.D.; Zewert, T.E.; Hood, L.E. )

    1994-04-01

    The Human Genome Project (HGP) is a coordinated worldwide effort to precisely map the human genome and the genomes of selected model organisms. The first explicit proposal for this project dates from 1985 although its foundations (both conceptual and technological) can be traced back many years in genetics, molecular biology, and biotechnology. The HGP has matured rapidly and is producing results of great significance.

  6. The Home Microbiome Project

    SciTech Connect (OSTI)

    Gilbert, Jack

    2014-08-25

    The Home Microbiome Project is an initiative aimed at uncovering the dynamic co-associations between people's bacteria and the bacteria found in their homes.The hope is that the data and project will show that routine monitoring of the microbial diversity of your body and of the environment in which you live is possible.

  7. LEP Dismantling Project

    E-Print Network [OSTI]

    Poole, John; CERN. Geneva. SPS and LHC Division

    2001-01-01

    The LEP Dismantling Project has been in its operational phase since late in the year 2000. This report briefly reviews the development of the project and the current status. The report has been prepared for presentation to the Radiation Protection Committee in May 2001 and consequently it has a bias towards Radiation Protection activities.

  8. Project organizations and schedules

    SciTech Connect (OSTI)

    Briggs, R.J.

    1990-07-01

    The Superconducting Super Collider Laboratory (SSCL) faces the challenge of simultaneously carrying out a large-scale construction project with demanding cost, schedule, and performance goals; and creating a scientific laboratory capable of exploiting this unique scientific instrument. This paper describes the status of the laboratory organization developed to achieve these goals, and the major near-term schedule objectives of the project.

  9. TEAM PROJECT: USER TESTING

    E-Print Network [OSTI]

    TEAM PROJECT: USER TESTING Due: Wed April 21 (section 2) Thu April 22 (section 1) Now that you have: usability inspection, Neilsen's heuristic evaluation, pluralistic walk through, or GOMS analysis (without part of your project. You might consider a joint session with another team! Format: 3-4 page report

  10. Coal. [Great Plains Project

    SciTech Connect (OSTI)

    Not Available

    1981-03-01

    The status of various research projects related to coal is considered: gasification (approximately 30 processes) and in-situ gasification. Methanol production, retrofitting internal combustion engines to stratified charge engines, methanation (Conoco), direct reduction of iron ores, water resources, etc. Approximately 200 specific projects related to coal are considered with respect to present status. (LTN)

  11. The Home Microbiome Project

    ScienceCinema (OSTI)

    Gilbert, Jack

    2014-09-15

    The Home Microbiome Project is an initiative aimed at uncovering the dynamic co-associations between people's bacteria and the bacteria found in their homes.The hope is that the data and project will show that routine monitoring of the microbial diversity of your body and of the environment in which you live is possible.

  12. North American LNG Project Sourcebook

    SciTech Connect (OSTI)

    2007-06-15

    The report provides a status of the development of LNG Import Terminal projects in North America, and includes 1-2 page profiles of 63 LNG projects in North America which are either in operation, under construction, or under development. For each project, the sourcebook provides information on the following elements: project description, project ownership, project status, projected operation date, storage capacity, sendout capacity, and pipeline interconnection.

  13. In Proceedings of the International Conference on Artificial Intelligence in Design, Worcester, MA, June In Proceedings of the 6th

    E-Print Network [OSTI]

    Tecuci, Gheorghe

    In Proceedings of the International Conference on Artificial Intelligence in Design, Worcester, MA, June 2000. 1 In Proceedings of the 6th International Conference on Artificial Intelligence in Design OF AN INTELLIGENT AGENT FOR THE DESIGN OF LOCAL AREA NETWORKS HADI REZAZAD*, GHEORGHE TECUCI Learning Agents

  14. Proceedings of the 8th International Symposium on Artificial Intelligence, 124--131 Monterrey, Mexico, October 1720, 1995

    E-Print Network [OSTI]

    Maloof, Mark

    Proceedings of the 8th International Symposium on Artificial Intelligence, 124--131 Monterrey recognition technique, and artificial neural networks. Experimental results demonstrate strong advantages. This research intends to both make a contribution to the methodology of vision through learning and solve

  15. Proceedings of the 8th International Symposium on Artificial Intelligence, 124131 Monterrey, Mexico, October 17-20, 1995

    E-Print Network [OSTI]

    Maloof, Mark

    Proceedings of the 8th International Symposium on Artificial Intelligence, 124­131 Monterrey recognition technique, and artificial neural networks. Experimental results demonstrate strong advantages. This research intends to both make a contribution to the methodology of vision through learning and solve

  16. K. M. Passino and P. J. Antsaklis, "A System and Control Theoretic Perspective on Artificial Intelligence Planning Systems," Control Systems Technical Report #63, Dept. of Electrical and Computer Engineering,

    E-Print Network [OSTI]

    Antsaklis, Panos

    on Artificial Intelligence Planning Systems," Control Systems Technical Report #63, Dept. of Electrical Perspective on Artificial Intelligence Planning Systems," Control Systems Technical Report #63, Dept Perspective on Artificial Intelligence Planning Systems," Control Systems Technical Report #63, Dept

  17. Energy Efficiency Project Development

    SciTech Connect (OSTI)

    IUEP

    2004-03-01

    The International Utility Efficiency Partnerships, Inc. (IUEP) has been a leader among the industry groups that have supported voluntary initiatives to promote international energy efficiency projects and address global climate change. The IUEP maintains its leadership by both supporting international greenhouse gas (GHG) reduction projects under the auspices of the U.S. Department of Energy (DOE) and by partnering with U.S. and international organizations to develop and implement strategies and specific energy efficiency projects. The goals of the IUEP program are to (1) provide a way for U.S. industry to maintain a leadership role in international energy efficiency infrastructure projects; (2) identify international energy project development opportunities to continue its leadership in supporting voluntary market-based mechanisms to reduce GHG emissions; and (3) demonstrate private sector commitment to voluntary approaches to global climate issues. The IUEP is dedicated to identifying, promoting, managing, and assisting in the registration of international energy efficiency projects that result in demonstrated voluntary reductions of GHG emissions. This Final Technical Report summarizes the IUEP's work in identifying, promoting, managing, and assisting in development of these projects and IUEP's effort in creating international cooperative partnerships to support project development activities that develop and deploy technologies that (1) increase efficiency in the production, delivery and use of energy; (2) increase the use of cleaner, low-carbon fuels in processing products; and (3) capture/sequester carbon gases from energy systems. Through international cooperative efforts, the IUEP intends to strengthen partnerships for energy technology innovation and demonstration projects capable of providing cleaner energy in a cost-effective manner. As detailed in this report, the IUEP met program objectives and goals during the reporting period January 1, 2001 through December 31, 2002. At the request of the DOE, we have also included in this report additional activities during the reporting period January, 1999 through January, 2001. This additional information had been reported earlier in the Final Technical Reports that summarized activities undertaken in those earlier periods.

  18. Hydropower major rehabilitation projects

    SciTech Connect (OSTI)

    Norlin, J.A. [Army Corps of Engineers, Portland, OR (United States)

    1995-12-31

    The Corps of Engineers has developed an active Major Rehabilitation Program to handle large, long duration restoration projects. These projects are funded by specific appropriations and subsequently are required to have detailed rehabilitation plans to justify the work. The emphasis of the Major Rehabilitation Program is correcting reliability problems. Papers that were presented at Waterpower `93 discussed the basic concepts that are required in preparing a Major Rehabilitation Evaluation Report. This paper will cover the current status of each of the current major rehabilitation projects that the Corps of Engineers has in progress.

  19. LIMB demonstration project extension

    SciTech Connect (OSTI)

    Not Available

    1990-09-21

    The purpose of the DOE limestone injection multistage burner (LIMB) Demonstration Project Extension is to extend the data base on LIMB technology and to expand DOE's list of Clean Coal Technologies by demonstrating the Coolside process as part of the project. The main objectives of this project are: to demonstrate the general applicability of LIMB technology by testing 3 coals and 4 sorbents (total of 12 coal/sorbent combinations) at the Ohio Edison Edgewater plant; and to demonstrate that Coolside is a viable technology for improving precipitator performance and reducing sulfur dioxide emissions while acceptable operability is maintained. Progress is reported. 3 figs.

  20. NAVAJO ELECTRIFICATION DEMONSTRATION PROJECT

    SciTech Connect (OSTI)

    Terry W. Battiest

    2008-06-11

    The Navajo Electrification Demonstration Project (NEDP) is a multi-year project which addresses the electricity needs of the unserved and underserved Navajo Nation, the largest American Indian tribe in the United States. The program serves to cumulatively provide off-grid electricty for families living away from the electricty infrastructure, line extensions for unserved families living nearby (less than 1/2 mile away from) the electricity, and, under the current project called NEDP-4, the construction of a substation to increase the capacity and improve the quality of service into the central core region of the Navajo Nation.

  1. Journal of Artificial Intelligence Research 2 (1994) 132 Submitted 4/94; published 8/94 A System for Induction of Oblique Decision Trees

    E-Print Network [OSTI]

    Salzberg, Steven

    1994-01-01

    Journal of Artificial Intelligence Research 2 (1994) 1­32 Submitted 4/94; published 8/94 A System and artificial data, that analyze OC1's ability to construct oblique trees that are smaller and more accurate

  2. AISEC: an Artificial Immune System for E-mail Classification Andrew Secker

    E-Print Network [OSTI]

    Timmis, Jon

    of continuous learning for the purposes of two-class classification and is illustrated here on the taskAISEC: an Artificial Immune System for E-mail Classification Andrew Secker Computing Laboratory-interesting without the need for re-training. Comparisons are drawn with a naïve Bayesian classifier and it is shown

  3. Phylogenetic Screening of Ribosomal RNA Gene-Containing Clones in Bacterial Artificial Chromosome (BAC) Libraries from

    E-Print Network [OSTI]

    de la Torre, José R.

    (BAC) Libraries from Different Depths in Monterey Bay M.T. Suzuki1 , C.M. Preston2 , O. Be´ja`2 , J processes, but much of their biology and ecology remains ill defined. One approach to better defining. Previously, we constructed and phylogenetically screened a Bacterial Artificial Chromosome (BAC) library from

  4. Artificial Solid Electrolyte Interphase to Address the Electrochemical Degradation of Silicon Electrodes

    SciTech Connect (OSTI)

    Dudney, Nancy J; Nanda, Jagjit; Liang, Chengdu; Li, Juchuan

    2014-01-01

    Electrochemical degradation on Si anodes prevents them from being successfully used in lithium-ion full cells. Unlike the case of graphite anodes, natural solid electrolyte interphase (SEI) films generated from carbonate electrolyte do not self-passivate on Si and causes continuous electrolyte decomposition. In this work we aim at solving the issue of electrochemical degradation by fabricating artificial SEI films using a solid electrolyte material, lithium phosphor oxynitride (Lipon), that conducts Li ions and blocks electrons. For Si anodes coated with Lipon of 50 nm or thicker, significant effect is observed in suppressing the electrolyte decomposition, while Lipon of thinner than 40 nm has little effect. Ionic and electronic conductivity measurement reveals that the artificial SEI is effective when it is a pure ionic conductor, and the electrolyte decomposition is not suppressed when the artificial SEI is a mixed electronic-ionic conductor. The critical thickness for this transition in conducting behavior is found to be 40~50 nm. This work provides guidance for designing artificial SEI for high capacity lithium-ion battery electrodes using solid electrolyte materials.

  5. Artificial Trinuclear Metallopeptidase Synthesized by Cross-Linkage of a Molecular Bowl with a Polystyrene Derivative

    E-Print Network [OSTI]

    Paik Suh, Myunghyun

    -linkage of catalytic elements with a macromolecular spacer, and self-assembly from catalytic elements.10-14 ManyArtificial Trinuclear Metallopeptidase Synthesized by Cross-Linkage of a Molecular Bowl* Contribution from the School of Chemistry and Molecular Engineering and Center for Molecular Catalysis, Seoul

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

    E-Print Network [OSTI]

    Antsaklis, Panos

    Artificial Neural Networks In Electric Power Industry Technical Report of the ISIS Group at the University of Notre Dame ISIS-94-007 April, 1994 Rafael E. Bourguet and Panos J. Antsaklis Department," Technical Report of the ISIS (Interdisciplinary Studies of Intelligent Systems) Group, No. ISIS-94-007, Univ

  7. IDENTIFICATION NUMBER: 4ME20 Abstract--Artificial welding of melt-textured YBCO blocks

    E-Print Network [OSTI]

    Amoros, Jaume

    1 IDENTIFICATION NUMBER: 4ME20 Abstract--Artificial welding of melt-textured YBCO blocks opens the superconducting quality of the welds, we have developed a Hall probe mapping system, able to record the local to characterize welded samples prepared with a new Ag induced surface melting joining technique. The magnetization

  8. Computer Viruses as Artificial Life Following papers by Eugene H. Spafford \\Lambda

    E-Print Network [OSTI]

    Ruppin, Eytan

    Computer Viruses as Artificial Life Following papers by Eugene H. Spafford \\Lambda A computer virus and the virus spreads further. Computer viruses flourish in the weaker security environment of the personal access, and this allows computer viruses to spread and flourish on those machines. Viruses have two major

  9. Artificial Intelligence 196 (2013) 106142 Contents lists available at SciVerse ScienceDirect

    E-Print Network [OSTI]

    De Giacomo, Giuseppe

    2013-01-01

    Direct Artificial Intelligence www.elsevier.com/locate/artint Automatic behavior composition synthesis Giuseppe De a painting blocks world scenario in which blocks are painted and processed by different robotic arms; different behaviors stand for different types of arms (e.g., a grip- per, a painting arm, a cleaner arm, etc

  10. Decision Theory in Expert Systems and Artificial Intelligence \\Lambda Eric J. Horvitz

    E-Print Network [OSTI]

    Horvitz, Eric

    . Breese Rockwell International Science Center Palo Alto Laboratory 444 High Street Palo Alto, CA 94301 Max 1988 Abstract Despite their different perspectives, artificial intelligence (AI) and the disciplines appearing in the International Journal of Approximate Reasoning, 2:247--302, 1988 (Special Issue

  11. Modeling the benefits of an artificial gravity countermeasure coupled with exercise and vibration

    E-Print Network [OSTI]

    Newman, Dava J.

    centrifugation has been hypothesized as an effective countermeasure because it reintroduces an acceleration field: Artificial gravity, human centrifuge, biomedical modeling #12;1. Introduction With NASA preparing for newRED) or Advanced Resistive Exercise Device (ARED), treadmill running, and cycling, have only proven to be partially

  12. A simple artificial light-harvesting dyad as a model for excess energy dissipation in

    E-Print Network [OSTI]

    van Stokkum, Ivo

    A simple artificial light-harvesting dyad as a model for excess energy dissipation in oxygenic September 29, 2005) Under excess illumination, plant photosystem II dissipates excess energy through as an acceptor of Pc excitation energy, thereby shortening its singlet excited-state lifetime. The conjugation

  13. Spontaneous Neural Firing in Biological & Artificial Neural Systems Christian R. Huyck and Richard Bowles

    E-Print Network [OSTI]

    Huyck, Chris

    Spontaneous Neural Firing in Biological & Artificial Neural Systems Christian R. Huyck and Richard of spontaneous neural activation may actually improve the system. Spontaneous neural firing can attenuate neural for a long period (relative to their normal firing rate), typically several milliseconds. When a neuron has

  14. Individual and competitive adsorption of phosphate and arsenate on goethite in artificial seawater

    E-Print Network [OSTI]

    Long, Bernard

    Individual and competitive adsorption of phosphate and arsenate on goethite in artificial seawater and arsenate adsorption on goethite was studied in single batch experiments at 25 jC upon the addition of Ca2 predicts the phosphate and arsenate adsorption behaviours in the PO4 ­SO4 ­goethite and AsO4 ­Ca­goethite

  15. CHINESE INPUT SYSTEM WITH ARTIFICIAL INTELLIGENCE Cemputer-Aided Instruction Laboratories, Institute of Educat-

    E-Print Network [OSTI]

    CHINESE INPUT SYSTEM WITH ARTIFICIAL INTELLIGENCE Fang Qian Cemputer-Aided Instruction Laboratories of Chinese Language Processing Systems commercially available around the world, of which the main divergence is probably in the input approaches of Chinese characters. But due to the following two facts none

  16. Short Communication Artificial light at night alters delayed-type hypersensitivity reaction in

    E-Print Network [OSTI]

    Nelson, Randy J.

    in revised form 20 May 2013 Accepted 26 May 2013 Available online 4 June 2013 Keywords: Light pollution suggest that light pollution may significantly alter physiological responses in Siberian hamsters habitats by creating pervasive light pollution. In the absence of artificial light, a full moon produces

  17. Tactile Stimulation During Artificial Rearing Influences Adult Function and Morphology in a

    E-Print Network [OSTI]

    Sokolowski, Marla

    Tactile Stimulation During Artificial Rearing Influences Adult Function and Morphology number, size, and dendritic length in adulthood. Reduced maternal licking also produces deficits in adult, the maternal care reper- toire consists of nursing, licking, grooming, incubat- ing, and retrieving of pups

  18. Structural Biases in Phonology: Infant and Adult Evidence from Artificial Language Learning

    E-Print Network [OSTI]

    Makous, Walter

    and the attestation of phonological rules in the world's lan- guages. We tested 8-month-old infants and adultsStructural Biases in Phonology: Infant and Adult Evidence from Artificial Language Learning Elika biases in infant and adult language learning follow (or better yet, follow from) typological biases

  19. International Journal on Artificial Intelligence Tools Vol. 18, No. 3 (2009) 365378

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    Peli, Eli

    2009-01-01

    International Journal on Artificial Intelligence Tools Vol. 18, No. 3 (2009) 365­378 c World Scientific Publishing Company DEVELOPMENT AND EVALUATION OF VISION MULTIPLEXING DEVICES FOR VISION S West Park,Westwood, MA 02090, USA noa.rensing@gmail.com 365 We have proposed a novel concept of vision

  20. A Comparative In Vitro Hemolysis Study of a Pulsating Intravenous Artificial Lung

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    Federspiel, William J.

    A Comparative In Vitro Hemolysis Study of a Pulsating Intravenous Artificial Lung LAURA W. LUND oxygenation and carbon dioxide removal lead to further damage of the ailing lungs.1 An estimated 150) as a method for providing temporary respiratory support and allowing the lungs of ARDS patients to heal.4