476 research outputs found

    TransCoding - From 'Highbrow Art' to Participatory Culture: Social Media - Art - Research

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    Between 2014 and 2017, the artistic research project "TransCoding - From 'Highbrow Art' to Participatory Culture" encouraged creative participation in multimedia art via social media. Based on the artworks that emerged from the project, Barbara Lüneburg investigates authorship, authority, motivational factors, and aesthetics in participatory art created with the help of web 2.0 technology. The interdisciplinary approach includes perspectives from sociology, cultural and media studies, and offers an exclusive view and analysis from the inside through the method of artistic research. In addition, the study documents selected community projects and the creation processes of the artworks Slices of Life and Read me

    TransCoding – From `Highbrow Art' to Participatory Culture

    Get PDF
    Between 2014 and 2017, the artistic research project "TransCoding – From 'Highbrow Art' to Participatory Culture" encouraged creative participation in multimedia art via social media. Based on the artworks that emerged from the project, Barbara Lüneburg investigates authorship, authority, motivational factors, and aesthetics in participatory art created with the help of web 2.0 technology. The interdisciplinary approach includes perspectives from sociology, cultural and media studies, and offers an exclusive view and analysis from the inside through the method of artistic research. In addition, the study documents selected community projects and the creation processes of the artworks Slices of Life and Read me

    Über die gruppen von mathieu

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    Experiencing the Future today: The Role of UX Demonstrators in Tactile Internet Innovation and its Impact on Technology Transfer

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    With the introduction of the Tactile Internet, the vision of democratising the access to skills and expertise for everyone is closer to realisation than ever before. Enabling humans to interact with cooperative product-service systems through technologies such as wearables, exo-skeletons or other IoT devices inhibits a potential of disruptive innovations to significantly change our everyday lives. Therefore, in order to create out of this technological advantages meaningful applications for society in general a shift in academic research is required away from purely technology-oriented to socio-economic solutions (Mazzucato, 2018)

    Principal Component Analysis In Radar Polarimetry

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    Second order moments of multivariate (often Gaussian) joint probability density functions can be described by the covariance or normalised correlation matrices or by the Kennaugh matrix (Kronecker matrix). In Radar Polarimetry the application of the covariance matrix is known as target decomposition theory, which is a special application of the extremely versatile Principle Component Analysis (PCA). The basic idea of PCA is to convert a data set, consisting of correlated random variables into a new set of uncorrelated variables and order the new variables according to the value of their variances. It is important to stress that uncorrelatedness does not necessarily mean independent which is used in the much stronger concept of Independent Component Analysis (ICA). Both concepts agree for multivariate Gaussian distribution functions, representing the most random and least structured distribution. </p><p style=&quot;line-height: 20px;&quot;> In this contribution, we propose a new approach in applying the concept of PCA to Radar Polarimetry. Therefore, new uncorrelated random variables will be introduced by means of linear transformations with well determined loading coefficients. This in turn, will allow the decomposition of the original random backscattering target variables into three point targets with new random uncorrelated variables whose variances agree with the eigenvalues of the covariance matrix. This allows a new interpretation of existing decomposition theorems

    On the Gersgorin Theorem applied to Radar Polarimetry

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    This contribution is concerned with the mathematical formulation and theoretical background of the Ge

    Classification of flag-transitive Steiner quadruple systems

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    A Steiner quadruple system of order v is a 3-(v,4,1) design, and will be denoted SQS(v). Using the classification of finite 2-transitive permutation groups all SQS(v) with a flag-transitive automorphism group are completely classified, thus solving the "still open and longstanding problem of classifying all flag-transitive 3-(v,k,1) designs" for the smallest value of k. Moreover, a generalization of a result of H. Lueneburg (1965, Math. Z. 89, 82-90) is achieved.Comment: 11 page
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