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Year of publication
- 2022 (94) (remove)
Object-Oriented Damage Information Modeling Concepts and Implementation for Bridge Inspection
(2022)
Bridges are designed to last for more than 50 years and consume up to 50% of their life-cycle costs during their operation phase. Several inspections and assessment actions are executed during this period. Bridge and damage information must be gathered, digitized, and exchanged between different stakeholders. Currently, the inspection and assessment practices rely on paper-based data collection and exchange, which is time-consuming and error-prone, and leads to loss of information. Storing and exchanging damage and building information in a digital format may lower costs and errors during inspection and assessment and support future needs, for example, immediate simulations regarding performance assessment, automated maintenance planning, and mixed reality inspections. This study focused on the concept for modeling damage information to support bridge reviews and structural analysis. Starting from the definition of multiple use cases and related requirements, the data model for damage information is defined independently from the subsequent implementation. In the next step, the implementation via an established standard is explained. Functional tests aim to identify problems in the concept and implementation. To show the capability of the final model, two example use cases are illustrated: the inspection review of the entire bridge and a finite-element analysis of a single component. Main results are the definition of necessary damage data, an object-oriented damage model, which supports multiple use cases, and the implementation of the model in a standard. Furthermore, the tests have shown that the standard is suitable to deliver damage information; however, several software programs lack proper implementation of the standard.
Das Fahrrad ist ein Medium sozialer Veränderung. Seine vielfältigen utopischen Potenziale ergeben sich nicht zuletzt aus seinen ebenso vielfältigen und häufig übersehenen medialen Qualitäten: Es vermittelt, es verbindet, es übersetzt; es modifiziert Wahrnehmung und Organisation von Raum und Zeit, von Körpern und von Sozialität. Umgekehrt kann auch das medienwissenschaftliche Denken fahrradmedial verändert werden. Das Fahrrad ist nicht nur Medium des sozialen und ökologischen Wandels: Radfahren eröffnet Perspektiven, verändert Räume, lässt neue Relationen entstehen und teilt Handlungsmacht neu auf.
Fahrradutopien denkt vom Fahrrad aus und ergänzt dabei bestehende Ansätze zur Mobilitätsforschung um medienkulturwissenschaftliche Perspektiven. Die Beiträge verbinden Medienwissenschaften und Forschungen zu Fahrradaktivismus mit der Liebe zum Radfahren. Fokussiert werden Fahrradfilme und -vlogs, Verkehr und Infrastrukturen, Virtuelle Realität und Fahrrad, Fahrradkollektive und Fahrradfeminismus.
Wer von Erbe im Zusammenhang mit Identität spricht, verspricht sich und Anderen »Kontinuität« und »Stabilität«. Das Versprechen hält indes nur so lange, wie sich Menschen auf die damit verbundenen Erzählungen einlassen. Da diese zunehmend hinterfragt werden und der Begriff »Identität« im politischen Raum zu einer umkämpften Kategorie avanciert ist, werden auch die lange gehegten, gewohnten »Konstruktionen« instabil. Dies zeigt sich insbesondere in Momenten des Konflikts, der übergriffigen Inanspruchnahme und des Verlusts. Der Titel »Instabile Konstruktionen« verweist zugleich auf die beiden Kernbereiche des Kollegs: einerseits auf Architektur und Denkmalpflege, in denen der Begriff Konstruktion sich auf bauliche Manifestationen bezieht, von denen eine gewisse Haltbarkeit und Dauerhaftigkeit erwartet wird und andererseits auf die Kultur- und Sozialwissenschaften, wo Konstruktion die soziale Herstellung symbolischer Sinnwelten meint. Ins Zentrum rückt so der Anspruch, die materielle Umwelt im Wechselverhältnis zu ihrer sozialen Gemachtheit zu verstehen.
Ausgehend von der Bemerkung des Philosophen Jacques Derrida, dass Erbe immer auch eine Aufgabe sei, widmet sich der dritte Band der Schriftenreihe des Graduiertenkollegs „Identität und Erbe“ den sozialen und kulturellen Praktiken der Bezugnahme auf Vergangenheit(en) und Identität(en). Mit einem (kulturellen) Erbe soll und muss etwas getan werden, um es überhaupt hervorzubringen. Es konstituiert sich erst im Akt des (Nicht-)Erbens, das heißt im Wechselverhältnis mit den mit und an ihm ausgeführten Praktiken. Gleichwohl ermöglicht erst deren Verbindung mit den materiellen Überresten und Überlieferungen des Erbes eine Aneignung oder Ablehnung der Vergangenheit sowie die Fort- und Umschreibung eines bereits bestehenden Erbes. Diese Vorgänge sind nicht willkürlicher Natur: Die Möglichkeiten zur Interpretation und Deutung werden durch die sozialen, politischen, kulturellen, ökonomischen und technischen Bedingungen der Gegenwart sowie durch die Geschichte und Materialität des Erbes beschränkt, erweitert und gelenkt. Erbe und Erbeprozesse müssen deshalb notwendigerweise miteinander in Beziehung gesetzt werden.
Mit Beiträgen von Simone Bogner und Michael Karpf, Stefan Willer, Giorgia Aquilar, Jörg Springer, Bernd Euler-Rolle, Elizabeth Sikiaridi und Frans Vogelaar, Verena von Beckerath, Alexandra Klei, Oluwafunminiyi Raheem, Ronny Grundig, Özge Sezer, Anna Kutkina, Inge Manka, Karolina Hettchen und Monique Jüttner sowie Julian Blunk.
Atlas der Datenkörper. Körperbilder in Kunst, Design und Wissenschaft im Zeitalter digitaler Medien
(2022)
Digitale Technologien und soziale Medien verändern die Selbst- und Körperwahrnehmung und verzerren, verstärken oder produzieren dabei spezifische Körperbilder. Die Beiträger*innen kartographieren diese Phänomene, fragen nach ihrer medialen Existenzweise sowie nach den Möglichkeiten ihrer Kritik. Dabei begegnen sie ihrer Neuartigkeit mit einer transdisziplinären Herangehensweise. Aus sowohl der Perspektive künstlerischer und gestalterischer Forschung als auch der Kunst-, Kultur- und Medienwissenschaft sowie der Psychologie und Neurowissenschaft wird die Landschaft rezenter Körperbilder und Techniken einer digitalen Körperlichkeit untersucht.
In the wake of the news industry’s digitization, novel organizations that differ considerably from traditional media firms in terms of their functional roles and organizational practices of media work are emerging. One new type is the field repair organization, which is characterized by supporting high‐quality media work to compensate for the deficits (such as those which come from cost savings and layoffs) which have become apparent in legacy media today. From a practice‐theoretical research perspective and based on semi‐structured interviews, virtual field observations, and document analysis, we have conducted a single case study on Science Media Center Germany (SMC), a unique non‐profit news start‐up launched in 2016 in Cologne, Germany. Our findings show that, in addition to field repair activities, SMC aims to facilitate progress and innovation in the field, which we refer to as field advancement. This helps to uncover emerging needs and anticipates problems before they intensify or even occur, proactively providing products and tools for future journalism. This article contributes to our understanding of novel media organizations with distinct functions in the news industry, allowing for advancements in theory on media work and the organization of journalism in times of digital upheaval.
Subscription-based news platforms (such as “Apple News+” or “Readly”) that bundle content from different publishers into one comprehensive package and offer it to media users at a fixed monthly rate are a new way of accessing and consuming digital journalism. These services have received little attention in journalism studies, although they differ greatly from traditional media products and distribution channels. This article empirically investigates the perception of journalism platforms based on eight qualitative focus group discussions with 55 German news consumers.
Results show that the central characteristics these platforms should fulfill in order to attract users are strikingly similar to the characteristics of media platforms from the music and video industries, in particular regarding price points, contract features, and modes of usage. Against this background, the potential and perspectives of a subscription-based news platform for journalism’s societal role are discussed.
The current thesis presents research about new methods of citizen participation based on digital technologies. The focus on the research lies on decentralized methods of participation where citizens take the role of co-creators. The research project first conducted a review of the literature on citizen participation, its origins and the different paradigms that have emerged over the years. The literature review also looked at the influence of technologies on participation processes and the theoretical frameworks that have emerged to understand the introduction of technologies in the context of urban development. The literature review generated the conceptual basis for the further development of the thesis.
The research begins with a survey of technology enabled participation applications that examined the roles and structures emerging due to the introduction of technology. The results showed that cities use technology mostly to control and monitor urban infrastructure and are rather reluctant to give citizens the role of co-creators. Based on these findings, three case studies were developed. Digital tools for citizen participation were conceived and introduced for each case study. The adoption and reaction of the citizens were observed using three data collection methods.
The results of the case studies showed consistently that previous participation and engagement with informal citizen participation are a determinining factor in the potential adoption of digital tools for decentralized engagement. Based on these results, the case studies proposed methods and frameworks that can be used for the conception and introduction of technologies for decentralized citizen participation.
This report details the development of Horoskopos, a virtual planetarium for astrology. This project was an attempt to develop a learning tool for studying astrological concepts as connected to observational astronomy. The premise that astrology and observational astronomy were once inseparable from each other in ancient times guided the conceptualization of this tool as an interactive planetarium. The main references were existing software and applications for visualization in astrology and astronomy. Professional astrology teachers were consulted in order to understand better the state of astrological teaching and learning, as well as existing tools and practice. Horoskopos was built using the Unity3D development interface, which is based on the C# programming language. It also relied on the Swiss Ephemeris coding interface from Astrodienst. The development process was experimental and many of the needed skills were developed as needed. Usability tests were performed as new features were added to the interface. The final version of Horoskopos is fully usable, with many interactive visualization features and a defined visual identity. It was validated together with professional astrologers for its effectiveness in concept and visualization.
In machine learning, if the training data is independently and identically distributed as the test data then a trained model can make an accurate predictions for new samples of data. Conventional machine learning has a strong dependence on massive amounts of training data which are domain specific to understand their latent patterns. In contrast, Domain adaptation and Transfer learning methods are sub-fields within machine learning that are concerned with solving the inescapable problem of insufficient training data by relaxing the domain dependence hypothesis. In this contribution, this issue has been addressed and by making a novel combination of both the methods we develop a computationally efficient and practical algorithm to solve boundary value problems based on nonlinear partial differential equations. We adopt a meshfree analysis framework to integrate the prevailing geometric modelling techniques based on NURBS and present an enhanced deep collocation approach that also plays an important role in the accuracy of solutions. We start with a brief introduction on how these methods expand upon this framework. We observe an excellent agreement between these methods and have shown that how fine-tuning a pre-trained network to a specialized domain may lead to an outstanding performance compare to the existing ones. As proof of concept, we illustrate the performance of our proposed model on several benchmark problems.