52 research outputs found

    Vitalitätseffekte: Erkenntnis und Affekt in der Medienkultur der Zellbiologie

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    Wie schaffen Bilder Wissen? Welche Rolle kommt der Ästhetik in der naturwissenschaftlichen Bildgebung zu? Was verändert sich an der Beweiskraft des Bildes durch die digitale Bilderzeugung? Die Autorin befasst sich anhand von zellbiologischen Forschungs- und Lehrfilmen mit den bildgebenden Verfahren der computergestützten Mikroskopie. Aus einer medien- und filmwissenschaftlichen sowie kunst- und wissenschaftsgeschichtlichen Perspektive untersucht sie, wie digitale Bilder in der naturwissenschaftlichen Forschung als Erkenntnismedien wirken. Dabei zeigt sich, dass sich die fachlich geschulte, auf Erkenntnisgewinn ausgerichtete Wahrnehmung und die affektive Beteiligung an den Filmen nicht konträr zueinander verhalten, sondern einander bereichern und erweitern

    The Florida Room

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    Alexandra T. Vazquez listens to the music and history of Miami to explore the city’s sonic cultures and its material and social realities

    Electronic Imaging & the Visual Arts. EVA 2019 Florence

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    The Publication is following the yearly Editions of EVA FLORENCE. The State of Art is presented regarding the Application of Technologies (in particular of digital type) to Cultural Heritage. The more recent results of the Researches in the considered Area are presented. Information Technologies of interest for Culture Heritage are presented: multimedia systems, data-bases, data protection, access to digital content, Virtual Galleries. Particular reference is reserved to digital images (Electronic Imaging & the Visual Arts), regarding Cultural Institutions (Museums, Libraries, Palace - Monuments, Archaeological Sites). The International Conference includes the following Sessions: Strategic Issues; New Science and Culture Developments & Applications; New Technical Developments & Applications; Cultural Activities – Real and Virtual Galleries and Related Initiatives, Access to the Culture Information. One Workshop regards Innovation and Enterprise. The more recent results of the Researches at national and international level are reported in the Area of Technologies and Culture Heritage, also with experimental demonstrations of developed Activities

    The Florida room

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    Alexandra T. Vazquez listens to the music and history of Miami to explore the city’s sonic cultures and its material and social realities

    Warez

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    When most people think of piracy, they think of Bittorrent and The Pirate Bay. These public manifestations of piracy, though, conceal an elite worldwide, underground, organized network of pirate groups who specialize in obtaining media – music, videos, games, and software – before their official sale date and then racing against one another to release the material for free. Warez: The Infrastructure and Aesthetics of Piracy is the first scholarly research book about this underground subculture, which began life in the pre-internet era Bulletin Board Systems and moved to internet File Transfer Protocol servers (“topsites”) in the mid- to late-1990s. The “Scene,” as it is known, is highly illegal in almost every aspect of its operations. The term “Warez” itself refers to pirated media, a derivative of “software.” Taking a deep dive in the documentary evidence produced by the Scene itself, Warez describes the operations and infrastructures an underground culture with its own norms and rules of participation, its own forms of sociality, and its own artistic forms. Even though forms of digital piracy are often framed within ideological terms of equal access to knowledge and culture, Eve uncovers in the Warez Scene a culture of competitive ranking and one-upmanship that is at odds with the often communalist interpretations of piracy. Broad in scope and novel in its approach, Warez is indispensible reading for anyone interested in recent developments in digital culture, access to knowledge and culture, and the infrastructures that support our digital age

    INSAM Journal of Contemporary Music, Art and Technology 6 (I/2021)

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    We have before us the sixth issue of INSAM Journal of Contemporary Music, Art and Technology. This is the second issue in a row dedicated to the global crisis caused by the Covid-19 pandemic. After the overwhelming response from all over the world to the call for papers and provocative inspections that ensued, here we wanted to discuss the ways in which technology shapes and enables work in the areas of music, arts, humanities, and the education process, this time inviting our collaborators to discuss the shortcomings and struggles of the working processes in these fields. The main theme, “Music, Art and Humanities in the Time of Global Crisis”, expanded from the Main Theme section into the interviews as well

    Methodology for identifying the key and enough factors for achieving objectives in sewer asset management

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    El principal objetivo de la tesis doctoral fue desarrollar una metodología para determinar los factores suficientes y necesarios para alcanzar objetivos específicos en la gestión patrimonial de alcantarillados, teniendo en cuenta la cantidad y calidad de la información disponible. El documento consta de cuatro partes: Parte A consiste en el marco teórico de los principales conceptos, pruebas, métodos, y métricas utilizados como base para desarrollar la metodología propuesta; Parte B contiene la descripción de los materiales (casos de estudio y herramientas computacionales) y los argumentos científicos de los modelos escogidos para desarrollar la metodología propuesta; Parte C es la más importante parte del documento, ya que describe las herramientas desarrolladas que apoyan la gestión patrimonial de alcantarillados y la metodología propuesta; y por último Parte D ilustra los resultados de las herramientas desarrolladas y la aplicación de la metodología propuesta a dos casos de estudio (Bogotá y Medellín). Las principales contribuciones de la tesis doctoral son: (i) una metodología basada en redes bayesianas para seleccionar un modelo rentable para apoyar la gestión patrimonial de activos como una herramienta de selección de atributos; (ii) métricas de desempeño vinculadas con objetivos en gestión patrimonial de alcantarillados; (iii) una metodología de optimización para modelos basados en aprendizaje de máquina para encontrar los hiper-parámetros óptimos para alcanzar objetivos de gestión; y finalmente (iv) la construcción de modelos de deterioro basados en diferentes métodos estadísticos y de aprendizaje de máquina en diferentes casos de estudio evaluado las predicciones a partir de diferentes perspectivas.The main objective of the doctoral thesis was to develop a methodology for determining which factors are enough and necessary to achieve specific objectives in sewer asset management considering the quantity and quality of the available information. The manuscript consists on four parts: Part A depicts the theoretical framework of the main concepts, tests, methods, and metrics used as the basis for developing the proposed methodology; Part B concerns the description of materials (case studies and computer-based tools) and the scientific arguments of the choosing methods for developing the proposed methodology; Part C is the most essential part of this manuscript because it describes the developed sewer asset management tools and the proposed methodology, objective of this doctoral thesis; and Part D illustrates the results of the proposed sewer asset management tools and the application of the proposed methodology in two case studies (Bogota and Medellin). The main contributions of the doctoral thesis are: (i) a Bayesian network-based methodology for selecting a cost-effective sewer asset management model as a feature selection tool; (ii) performance metrics linked with management objectives in sewer asset management; (iii) an optimization methodology for machine learning-based models to find the optimal hyperparameters for achieving management objectives; and (iv) building deterioration models based on different statistical and machine learning methods on different case studies, evaluating the predictions from different perspectives.Doctor en IngenieríaDoctoradohttps://orcid.org/0000-0001-5084-7937https://scholar.google.com/citations?hl=en&user=WSY6pA0AAAAJhttps://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=000146448
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