1,721,905 research outputs found

    Replication Data for: A Predictor-Corrector-Scheme for the Geometry Planning for In-Operation-Reconfiguration of Cable-Driven Parallel Robots

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    Measurement data to reproduce the absolute and repeatability precision before and after the reconfiguration process. The dataset contains the folder with the data in reference configuration ( /predictor_corrector_scheme_data/reference_config/) and the data in the reconfigured configuration (/predictor_corrector_scheme_data/referencer_config/). For all measurements, the absolute position of the platform was measured by a Faro Vantage E6 laser tracker. The txt-files contain seven columns, whereas the first three columns contain the absolute coordinates, measured in the laser tracker's coordinate system. The first column contains the x-coordinate, second column the y-coordinate and third column the z-coordinate, respectively. The other four columns are not of interest. Additionally, before the precision can be assessed, the coordinates have to be transformed to the robot's coordinate system and the offset between the laser tracker target and the center of the platform's coordinate system has to be compensated. For this purpose, the difference between the laser tracker and the robot's coordinate system is given in "coordinate_origin.txt" and the orientation difference in terms of the rotation matrix in "rotation_matrix.txt" as well as the laser tracker target offset, which has to be added to the measured values, in "target_offset.txt". The calculation of the precision was performed according to ISO 9283, which is also mentioned in the corresponding paper

    Correlation analysis methods in multi-stage production systems for reaching zero-defect manufacturing

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    Based on the amount of production steps and the related complexity, multi-stage production systems are very error-prone. In order to compensate for this disadvantage and to achieve zero-defect manufacturing, a data-driven approach is needed. The increasing availability of sensor and machine data provides a high informational content of the individual processes, which can be evaluated with appropriate methods. Literature shows various methods of data analysis for examining the correlations of data sets. These methods and strategies are analyzed, hierarchically structured and extended by four developed algorithms. Finally, the data-driven analysis tool is presented and validated using two industrial use cases

    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

    A control model for downstream compensation strategy in multi-stage manufacturing systems of complex parts

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    The capability of delivering high-quality products with the required service level is a key factor for competitiveness in manufacturing companies. Zero-Defect Manufacturing control strategies aim at ensuring these targets grounding on the combination of knowledge extraction from the process and advanced statistical tools. This work presents the approach proposed within the EU-funded project ForZDM for selected use-cases in different industrial sectors characterized by multi-stage manufacturing systems and high-value complex parts. The control model is proposed and the overall control strategy is presented with respect to the state-of-the-art solutions, in order to show a comprehensive methodology integrating the joint product-system quality-oriented approach

    Knowledge Capturing Platform in Multi-Stage Production Systems for Zero-Defect Manufacturing

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    The increasing complexity of parts and the growing quality requirements pose new challenges for today's manufacturing industry. Multi-Stage Production Systems, which are known for complex links and sequences of many different process steps, must be adapted to these requirements. This means, being cost-effective and flexible while still meeting high quality standards. The idea of Zero-Defect Manufacturing aims to reduce scrap, rework and special operations by analyzing and optimizing multi-stage production systems through data-driven and learning-based approaches. A Knowledge Capturing Platform concept is introduced to extract a deeper understanding from collected data with inter-stage correlation methods, part variation approaches along the line and intelligent monitoring systems

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    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
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