130,389 research outputs found

    Correspondence and notes from Alice V. D. Pierrepont, 1932-1935

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    Concerns the descendants of Michael Jones. From Mss. 69 J72, folder 9, box 8, Maben Jones Papers, Special Collections Research Center, Swem Library, College of William and Mary

    Modelling of Ground and Ceiling Effects for Quadcopters Based on Experimental Data

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    This work is focused on the identification of a model based on experimental results for ground and ceiling effects for small scale quadrotors. Experiments are conducted using a fixed test bed and a force-torque sensor that measures the total thrust of a quadcopter when placed at different distances from horizontal surfaces. Two propeller sizes (10"x4.7" and 12"x5") are considered at constant pressure and temperature conditions of 1000 mbar and 20 degrees C, respectively. Two different modelling approaches are proposed: an exponential parametric curve fitting method and a Gaussian Process regression method. Results are compared to ground effect models present in literature. We present novel ground and ceiling parametric models in which the out-of-ground/out-of-ceiling thrust is explicitly modelled. Moreover, an approach based on Gaussian process regression is explored, showing its potential for UAV applications

    MeSH term explosion and author rank improve expert recommendations

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    Information overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Data-driven identification method and simulation modeling of a ground robot

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    Autonomous mobile robots rely on the environment features to operate. In a framework in which agents operate autonomously from each other and only use their on-board sensors and computing power, an accurate simulation environment has to be set up. Accuracy is increased by producing a good model of the robot agent itself. In this paper, a data-driven identification method is exploited to design a black-box model for numerical simulations. A MATLAB/Simulink-ROS-Unity3D hybrid environment is considered as simulation scenario, to be easily connected to the on-board real hardware

    "Closing the R&D Gap, Evaluating the Sources of R&D Spending"

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    Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.

    A. D. Fricke, author

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    Black and white photograph of author, A. D. Fricke

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Scholarly Communication and Publishing Lunch and Learn Talk #11: The ULS Open Access Author Fee Fund

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    At the May 2014 talk, you will learn about the ULS Open Access Author Fee Fund--what it is, why we do it, how it works, and how the program is going so far
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