7,916 research outputs found

    Cold molecular welding study Final report, Jun. 15, 1966 - Jun. 14, 1967

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    Cold molecular welding characteristics of metal pellets on stainless steel wear plate

    Cold molecular welding study in ultra-high vacuum Final report, 8 Oct. 1964 - 17 Dec. 1965

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    Cold molecular welding in ultrahigh vacuum of metals for use in Apollo projec

    Vortex ring refraction at large Froude numbers

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    We have experimentally studied the impact of an initially planar axisymmetric vortex ring, incident at an oblique angle, upon a gravity-induced interface separating two fluids of differing densities. After impact, the vortex ring was found to exhibit a variety of subsequent trajectories, which we organize according to both the incidence angle, θi\theta_i, and the interface strength, defined as the ratio of the Atwood and Froude numbers, A/FA/F. For grazing incidence angles (θi70\theta_i \gtrsim 70 deg.) vortices either penetrate or reflect from the interface, depending on whether the interface is weak or strong. In some cases, reflected vortices execute damped oscillations before finally disintegrating. For smaller incidence angles (θi70\theta_i \lesssim 70 deg.) vortices penetrate the interface. When there is a strong interface, these vortices are observed to curve back up toward the interface. When there is a weak interface, these vortices are observed to refract downward, away from the interface. The critical interface strength below which vortex ring refraction is observed is given by log10(A/F)=2.38±0.05\log_{10}{(A/F)}= -2.38 \pm 0.05.Comment: 26 pages, 11 figures; Submitted to Physical Review

    Calculating The Beta Coefficient And Required Rate Of Return For Coca-Cola

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    In this paper, we demonstrate how to compute the required rate of return for Coca-Cola using modern portfolio theory with data downloaded from the internet.  We demonstrate how to calculate monthly returns for the index and Coca-Cola and how to use the returns to compute the beta coefficient and the required rate of return using the downloaded data.  We show how to validate the data for the market index and the company and how to compute the returns using the dividend and stock split adjusted prices.  We demonstrate how to graph the characteristic line for Coca-Cola and use the graph to check that the regression was run correctly.  We use Coca-Cola and the S&P 500 Index in this paper, but any company listed on Yahoo! Finance can be used as the example.  This paper can be used as the basis of a lecture on intermediate corporate finance or investments to demonstrate the process using a real company

    Applying The Teacher Scholar Model In The School Of Business

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    The teacher-scholar model was proposed in Boyer (1990) and defines four dimensions of scholarship:  1) discovery, 2) integration, 3) application, and 4) teaching. In this paper, we describe the characteristics of scholarship, the theory of the scholarship of teaching, the excellent teacher, and undergraduate research and scholarship.  We then show how the teacher-scholar model is applied at one University for annual faculty evaluations.&nbsp

    Valuing Coca-Cola Using The Free Cash Flow To Equity Valuation Model

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    In this paper, we provide a detailed example of applying the free cash flow to equity valuation model proposed in Damodaran (2006). Damodaran (2006) argues that the value of a stock is the discounted present value of the future free cash flow to equity discounted at the cost of equity. We combine the free cash flow to equity model with the super-normal growth model to determine the current value of Coca-Cola. At the time of this paper, we determined a value of Coca-Cola at 161billionusingthefreecashflowtoequitymodel,andtheactualmarketvalueofCocaColawas161 billion using the free cash flow to equity model, and the actual market value of Coca-Cola was 150 billion

    Deep Depth From Focus

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    Depth from focus (DFF) is one of the classical ill-posed inverse problems in computer vision. Most approaches recover the depth at each pixel based on the focal setting which exhibits maximal sharpness. Yet, it is not obvious how to reliably estimate the sharpness level, particularly in low-textured areas. In this paper, we propose `Deep Depth From Focus (DDFF)' as the first end-to-end learning approach to this problem. One of the main challenges we face is the hunger for data of deep neural networks. In order to obtain a significant amount of focal stacks with corresponding groundtruth depth, we propose to leverage a light-field camera with a co-calibrated RGB-D sensor. This allows us to digitally create focal stacks of varying sizes. Compared to existing benchmarks our dataset is 25 times larger, enabling the use of machine learning for this inverse problem. We compare our results with state-of-the-art DFF methods and we also analyze the effect of several key deep architectural components. These experiments show that our proposed method `DDFFNet' achieves state-of-the-art performance in all scenes, reducing depth error by more than 75% compared to the classical DFF methods.Comment: accepted to Asian Conference on Computer Vision (ACCV) 201

    CASAM: Collaborative Human-machine Annotation of Multimedia.

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    The CASAM multimedia annotation system implements a model of cooperative annotation between a human annotator and automated components. The aim is that they work asynchronously but together. The system focuses upon the areas where automated recognition and reasoning are most effective and the user is able to work in the areas where their unique skills are required. The system’s reasoning is influenced by the annotations provided by the user and, similarly, the user can see the system’s work and modify and, implicitly, direct it. The CASAM system interacts with the user by providing a window onto the current state of annotation, and by generating requests for information which are important for the final annotation or to constrain its reasoning. The user can modify the annotation, respond to requests and also add their own annotations. The objective is that the human annotator’s time is used more effectively and that the result is an annotation that is both of higher quality and produced more quickly. This can be especially important in circumstances where the annotator has a very restricted amount of time in which to annotate the document. In this paper we describe our prototype system. We expand upon the techniques used for automatically analysing the multimedia document, for reasoning over the annotations generated and for the generation of an effective interaction with the end-user. We also present the results of evaluations undertaken with media professionals in order to validate the approach and gain feedback to drive further research

    Deformed two center shell model

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    A highly specialized two-center shell model has been developed accounting for the splitting of a deformed parent nucleus into two ellipsoidaly deformed fragments. The potential is based on deformed oscillator wells in direct correspondance with the shape change of the nuclear system. For the first time a potential responsible for the necking part between the fragments is introduced on potential theory basis. As a direct consequence, spin-orbit {\bf ls} and {\bf l2^2} operators are calculated as shape dependent. Level scheme evolution along the fission path for pairs of ellipsoidaly deformed fragments is calculated. The Strutinsky method yields the shell corrections for different mass asymmetries from the superheavy nucleus 306^{306}122 and 252^{252}Cf all along the splitting process.Comment: 32 pages, 8 figure
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