19,402 research outputs found

    Apparatus for changing the orientation and velocity of a spinning body traversing a path Patent

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    Development of method and apparatus for spinning satellite about selected axis after reaching predetermined orientatio

    Varactor high level mixer

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    Varactor microwave frequency mixing circui

    Modeling Compressible Non-Newtonian Chicken Flow

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    This paper addresses a few modeling issues relevant for the basic theoretical understanding of the meat flow behavior in simple geometries. We model the meat mixture as a non-Newtonian compressible fluid. Focusing on conceptually easy-to-follow cases like flow in thin molds, or steady incompressible or compressible flow in straight pipes we derive explicit expressions for the velocity and pressure profiles. For the thin moldcase, we formulate a one-dimensional free-boundary problem able to capture the a priori unknown position of the moving meat-air interface. Special attention is payed on the derivation of the free boundary conditions

    On a generalized quantum SWAP gate

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    The SWAP gate plays a central role in network designs for qubit quantum computation. However, there has been a view to generalize qubit quantum computing to higher dimensional quantum systems. In this paper we construct a generalized SWAP gate using only instances of the generalized controlled-NOT gate to cyclically permute the states of d qudits for d prime

    Fuzzy ARTMAP: A Neural Network Architecture for Incremental Supervised Learning of Analog Multidimensional Maps

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    A new neural network architecture is introduced for incremental supervised learning of recognition categories and multidimensional maps in response to arbitrary sequences of analog or binary input vectors. The architecture, called Fuzzy ARTMAP, achieves a synthesis of fuzzy logic and Adaptive Resonance Theory (ART) neural networks by exploiting a close formal similarity between the computations of fuzzy subsethood and ART category choice, resonance, and learning. Fuzzy ARTMAP also realizes a new Minimax Learning Rule that conjointly minimizes predictive error and maximizes code compression, or generalization. This is achieved by a match tracking process that increases the ART vigilance parameter by the minimum amount needed to correct a predictive error. As a result, the system automatically learns a minimal number of recognition categories, or "hidden units", to met accuracy criteria. Category proliferation is prevented by normalizing input vectors at a preprocessing stage. A normalization procedure called complement coding leads to a symmetric theory in which the MIN operator (Λ) and the MAX operator (v) of fuzzy logic play complementary roles. Complement coding uses on-cells and off-cells to represent the input pattern, and preserves individual feature amplitudes while normalizing the total on-cell/off-cell vector. Learning is stable because all adaptive weights can only decrease in time. Decreasing weights correspond to increasing sizes of category "boxes". Smaller vigilance values lead to larger category boxes. Improved prediction is achieved by training the system several times using different orderings of the input set. This voting strategy can also be used to assign probability estimates to competing predictions given small, noisy, or incomplete training sets. Four classes of simulations illustrate Fuzzy ARTMAP performance as compared to benchmark back propagation and genetic algorithm systems. These simulations include (i) finding points inside vs. outside a circle; (ii) learning to tell two spirals apart; (iii) incremental approximation of a piecewise continuous function; and (iv) a letter recognition database. The Fuzzy ARTMAP system is also compared to Salzberg's NGE system and to Simpson's FMMC system.British Petroleum (89-A-1204); Defense Advanced Research Projects Agency (90-0083); National Science Foundation (IRI 90-00530); Office of Naval Research (N00014-91-J-4100); Air Force Office of Scientific Research (90-0175

    Upper atmosphere chemical release study Final report

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    Chemical release experiments to study upper atmosphere including night sky oxygen emissio

    On Generating Gravity Waves with Matter and Electromagnetic Waves

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    If a homogeneous plane light-like shell collides head-on with a homogeneous plane electromagnetic shock wave having a step-function profile then no backscattered gravitational waves are produced. We demonstrate, by explicit calculation, that if the matter is accompanied by a homogeneous plane electromagnetic shock wave with a step-function profile then backscattered gravitational waves appear after the collision.Comment: Latex file, 15 pages, accepted for publication in Physical Review

    Marketing And The Rise Of Web 2.0: Expanding Opportunity, Increasing Challenge

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    As the Internet has become an increasingly central element of daily life, marketers have scrambled to adapt their methods to this new medium. While early online marketing efforts consisted primarily of repackaged print materials, the rise of Web 2.0 sites with their increasingly interactive experiences has forced marketers to broaden their offerings in order to remain relevant. This analysis considers the broad dimensions of the new online marketing landscape. It assesses the major Web 2.0 sites and evaluates their current scope and reach, concluding that firms utilizing Web 2.0 tools for marketing purposes must insure consistency across their various sites, invest adequate resources to provide prompt service, and recognize that customer expectations for such service will continue to rise for the foreseeable future

    The Impact of the Big Five Personality Traits on the Acceptance of Social Networking Website

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    Social networking websites are a relatively new and wildly popular form of technology. While millions of users have adopted this technology, it is not currently known whether these users have any commonalities or whether these users represent a certain personality type. This study investigates the impact of the Big Five personality variables on the acceptance of social networking technology. Because the Technology Acceptance Model and the Unified Theory of the Acceptance and Use of Technology assume the technology in question is used for productivity gains, a new model framework will be used, specifically created for the acceptance of hedonic information systems
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