Open Access Zeitschriften des Universitätsverlages der Technischen Universität Chemnitz
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    466 research outputs found

    Fanchoreografien als koordinierte Formen kommunikativen Kollektivhandelns: Beobachtungen aus semiotischer Perspektive

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    Bei Fanchoreografien handelt es sich um koordinierte multimoda­le Formen kommunikativen Kollektivhandelns. Choreografierte Fankommunikation in Sportstadien verdankt ihre Existenz dem Umstand, dass ein vor Ort anwesendes Groß­publikum an der koordinierten Durchführung einer kommunikativen Handlung beteiligt ist. Für semiotische und medialitätstheoretische Fragestellungen bietet dieser eigens zu kategorisierende Kommunikationstypus eine Fülle von konzeptionellen und theoretischen Herausforderungen, die bislang noch kaum Beachtung gefunden haben. Dazu gehören unter anderem Fragen zur Autorschaft oder auch zur Bedeutung des physischen und des sozialen Raums.In this contribution fan choreographies are understood as coordinated mul¬timodal forms of communicative collective action. Fan choreographies in sports stadi¬ums owe their existence to the fact that a large on-site-audience is involved in the coor¬dinated execution of a communicative action. From a semiotic and media-theoretical perspective, this type of communication has to be categorized specifically. And it offers a wealth of conceptual and theoretical challenges that have so far received little atten¬tion in audience research. These include questions of authorship as well as the meaning of physical and social space

    Selbstbehauptung: Rollenfiktion zwischen Starimage und Authentizitätsanspruch als Harmonisierung kultureller Oppositionen in Hildegard Knefs "Für mich soll’s rote Rosen regnen"

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    Der Beitrag untersucht mit Hilfe der Kategorien ‚Sprache‘, ‚Musik‘ und ‚Starimage‘ die mentalitätsgeschichtlichen Funktionen des Schlagers Für mich soll’s rote Rosen regnen von Hildegard Knef. Dabei werden die zentralen Semanti­ken, insbesondere die Konzeption der Person, herausgearbeitet, die im Zusammen­spiel von Text und Kontext die Bedeutungen des Schlagers konstituieren. Erläutert wird abschließend, wie diese Semantiken in der Adaptionsgeschichte des Schlagers an neue Gegenwarten angepasst werden, um den kulturellen Referenzraum des Schlagers auszuloten.The article examines the historical mental functions of the hit song (\u27Schlager\u27) Für mich soll’s rote Rosen regnen by Hildegarde Neff (aka Hildegard Knef) using the categories \u27language\u27, \u27music\u27and \u27starimage\u27. The central semantics, in particular the concept of person, which in the interplay of text and context makes up the meaning of the \u27Schlager\u27, is worked out. Finally, it will be explained how these semantics are adap­ted to the present in the adaptation history of the song, in order to sound out the cultu­ral reference space of the \u27Schlager\u27

    Von der Schichtung zur Palimpsestierung: „Palimpsest“ als kulturwissenschaftlicher Grundbegriff

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    Der Ausdruck ‚Palimpsest‘ schickt sich an, ein kulturwissenschaft­licher Grundbegriff zu werden. Als analytische Kategorie erfasst ‚Palimpsest‘ horizon­tale und vertikale Lagerungen von Raum und Zeit und betont dabei Aspekte der Mischung, der Neugestaltung, der Disruption, der Zerstörung und des Verlusts. Deshalb ergänzt und präzisiert er zunehmend die Schichtenmetaphern, wie jüngere Methodendiskurse in der Archäologie und der Literaturwissenschaft belegen, und erschließt auf neuarti­ge Weise Querschnittsthemen der Kulturwissenschaften – etwa aus dem Bereich der Raum-und Stadttheorie oder im Hinblick auf das Spannungsfeld von Gedächtnis/Erin­nerung, Diskurs und Identität. Zur weiteren Operationalisierung des Palimpsestbegriffs ist es erforderlich, zum einen epistemisch zwischen einem materiellen und einem meta­phorischen Begriffsverständnis zu unterscheiden. Zum anderen gilt es, den Begriff der Palimpsestierung als vermittelnde Prozesskategorie zu profilieren.The concept of the palimpsest has increasingly been promoted as a key concept in cultural studies. It captures the horizontal and vertical layers of space and time, and emphasises aspects of mixture, restructuring, disruption, destruction, and loss. Therefore, it replaces metaphors of layering, as recent methodological discourses in archaeology and literary studies attest to. At the same time, it opens new perspectives on cross-sectional topics not only in cultural studies but also in the context of spa­tial and urban theory as well as with regard to the tension between memory/remembering, discourse, and identity. To further operationalise the concept of the palimpsest within a wider academic framework, it is necessary, on the one hand, to distinguish between a material and a metaphorical notion of the term. On the other hand, it is essential to establish a concept of palimpsestisation as a mediating process category

    Model Order Reduction with Dynamically Transformed Modes for Electrophysiological Simulations

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    The numerical simulation of neuromuscular processes in skeletal muscles typically imposes high computational costs, resulting in the need for techniques to reduce these costs. One submodel in these types of multiphysics multiscale simulations is the electrophysiological model, describing the propagation of an action potential (AP) in a muscle fiber. Involved in the simulation of the propagation are two traveling waves, resulting in difficulties for classical model order reduction (MOR) techniques based on linear subspaces. Instead, we apply the nonlinear MOR method shifted Proper Orthogonal Decomposition (sPOD) to construct dynamically transformed reduced basis functions depending on time-dependent paths spanning the adaptive reduced ansatz space. Our numerical experiments demonstrate that the constructed reduced ansatz space can accurately capture the dynamics of two fully separated wavefronts and reduce the degrees of freedom of the whole simulation. However, it cannot represent the activation of the AP in the center of the fiber and overlapping wave parts. The constructed reduced order model outperforms the high-dimensional full order model in terms of the computational costs while the accuracy is maintained and reaches speedup factors between 2 and 73 depending on the time discretization

    A Study for the Development Needs of Professional Teachers at Vocational Education and Training Institution in Mongolia

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    This paper describes an importance of development needs of professional teachers at vocational education and training institutions in Mongolia. Study group consisted of 14 public and private vocational education institutions and 285 professional teachers participated in the survey. The purpose of this study was to determine the needs of teacher training and professional development at vocational education and training institutions. In particular, the relationship between the needs of teachers and the factors that influence them have been analyzed within the framework of the survey. For statistical analyses, variation value, reliability analysis, KMO and Bartlett’s test, commonality of variables, correlation analysis were performed. The findings indicated that it is necessary to implement various policies and activities to support and develop school-based activities and support them financially in order to ensure the professional development of teachers. Also, it is required to consider the teacher development of training content and improvement of training courses to support the development of teachers of vocational education and training. Moreover, there is need to operate the content of training for teacher development. The paper concludes with recommendations for further investigation

    Automated Identification of Wood Surface Defects Based on Deep Learning

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    Wood plates are widely used in the interior design of houses primarily for their aesthetic value. However, considering its esthetical values, surface defect detection is necessary. The development of computer vision and CNN-based object detection methods has opened the way for wood surface defect detection process automation. This paper investigates deep-learning applications for automatic wood surface defect detection. It includes the evaluation of deep learning algorithms, including data generation and labeling, preprocessing, model training, and evaluation. Many adjustments regarding the dataset size, the model, and the modification of the neural network were made to evaluate the model\u27s performance in the specified challenge. The results indicate that modifications can increase the YOLOv5s performance in detection. The model with GCNet added and trained in 4800 images has achieved 88.1% of mAP. The paper also evaluates the time performance of models based on different GPU units. The results show that in A100 40GB GPU, the maximum time to process a wood plate is 2.2 seconds. Finally, an Active learning approach for the continual increase in performance while detecting with the smaller size of manual labeling has been implemented. After detecting 500 images in 5 cycles, the model achieved 98.8% of mAP. This scientific paper concludes that YOLOv5s modified model is suitable for wood surface defect detection. It can perform with high accuracy in real time. Moreover, applying the active learning approach can facilitate the labeling process by increasing the performance during detection

    Tahrir Is Not a Square. Wie meta-urbane Protestkommunikate städtische Territorien des Widerspruchs strukturieren.

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    Zusammenfassung. Schrift im öffentlich zugänglichen Raum der Stadt ist ein wichtiger soziolinguistischer Forschungsgegenstand. Aufschriften aller Art prägen nicht nur den urbanen Raum, sondern bringen spezifische Orte erst hervor. Im Zentrum der Analyse steht die Konstruktion eines urbanen Protestraums, wie er durch sogenannte Protest­kommunikate hervorgebracht wird. Beispiel ist dabei ein Stencil, das auf den Tahrir-Platz in Kairo zu verweisen scheint, das jedoch über interspatiale, interdiskursive und inter­mediale Bezüge weit mehr leistet. Es ist Teil einer Ortsassoziation, die den urbanen Raum als Territorium des Widerspruchs beschreibbar macht. Der Beitrag leistet einer­seits eine ethnographische Detailanalyse zu einem Schriftvorkommen in Berlin Prenz­lauer Berg, er gibt darüber hinaus aber vor allem auch Hinweise auf Möglichkeiten einer soziolinguistischen und semiotischen Analyse urbaner Widerspruchsterritorien überhaupt.Summary. Inscriptions in the publicly accessible space of the city are an important research topic of sociolinguistics. Writings of all kind do not only shape urban space but also pro­duce specific places which wouldn’t exist without them. The focus of this paper is how a space of urban protest is constructed; it will be shown how communicative forms of pro­test create place. The example discussed is a stencil which specifically refers to the Tah­rir square in Cairo but at the same time accomplishes much more through interspatial, interdiscursive, and intermedial references. This stencil can be understood as part of an association of places which makes urban space describable as a territory of contradic­tion. The contribution provides a detailed ethnographic analysis of the use of stencils in Berlin Prenzlauer Berg and goes on to highlight possibilities of a sociolinguistic and semi­otic analysis of urban territories of contradiction at large

    Phonetische Transkription als folklinguistische Zeichen-Praxis im öffentlichen Raum

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    Zusammenfassung. Diese Studie ist eine erste Erkundung von laienlinguistischer Nutzung phonetischer Transkription im öffentlichen Raum. Dabei handelt es sich um Gebrauchsformen, bei denen das semiotische Repertoire der Transkription – beispiels­weise phonetische Symbole und die Klammerung von Lexemen, aber auch Silben­trennung und lexikografische Textstruktur – in der digitalen oder materiellen Öffent­lichkeit in einen dekontextualisierten Zusammenhang gebracht wird. Damit verbindet sich ein intendierter Effekt, der von der etablierten visuellen Repräsentation sprachli­cher Laute abweicht. Um diesen Zusammenhang genauer zu erkunden, wurde ein Bildkorpus mit 27 Beispielen aus dem öffentlichen Raum erstellt und im Hinblick auf semiotische und soziolinguistische Variation analysiert. Es konnte eine große Band­breite an semiotischen Realisierungen nachgewiesen werden, die von komplexen For­men mit hoher Transkriptionstiefe bis hin zu minimalistischen Varianten reicht. Aus­gehend von dieser Analyse werden verschiedene soziostilistische Faktoren heraus­gearbeitet, die für die Variation eine Rolle spielen (Professionalisierungsgrad, Planungs­aufwand, Korrektheit), und es werden vier Dimensionen sozialer Bedeutung unterschie­den (Selbstreflexivität, definitorische Sprechakte, inszenierte Mündlichkeit, Erzeugung von Fallhöhe), die mit folklinguistischen Transkriptionen aktiviert werden können.Summary. This paper is a first exploration of folk-linguistic forms of phonetic transcrip­tion in the public space. This concerns patterns of use where the semiotic repertoire of phonetic transcription – including the use of phonetic symbols and bracketing, but also syllabic word division and lexicographic text structure – is transposed into a non-tech­nical context of digital or physical public space, and where the intended purpose differs from linguistic traditions of visually representing speech sounds. To elucidate this practi­ce, a corpus of 27 pictures was assembled in an ethnographic approach and analyzed from a semiotic and sociolinguistic perspective. A broad spectrum of semiotic pheno­mena was found, ranging from highly complex and quasi-professional transcriptions to minimalistic approaches. On this basis, a range of socio-stylistic factors that influence this variation (degree of professionalization, amount of planning, correctness) is propo­sed. Four categories of social meaning are distinguished (metalinguistic reflexivity, agen­da setting, staged orality, deviance) that can be used for self-positioning in the use of folk-linguistic transcriptions in public spaces

    Introduction to the Proceedings of the ISCSET 2023: The 12th International Symposium on Computer Science, Computer Engineering and Educational Technologies

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    The 12th International Symposium on Computer Science, Computer Engineering and Educational Technologies (ISCSET 2023) is published in a special issue of the Embedded Self-Organizing Systems journal of the Chemnitz University of Technology for the second time. In a significant first, ISCSET 2023 utilized the EasyChair conference management platform for paper submissions. Each submission underwent thorough review by three esteemed professors and researchers from our partner universities, resulting in 27 submissions with an acceptance rate of 62%. But ISCSET 2023 was more than just papers; it was a dynamic symposium that featured engaging keynote presentations, thought-provoking talks by invited speakers as well as lively paper presentations. We had participants from 18 countries: Germany, Mongolia, China, France, Jordan, Algeria, Japan, Kazakhstan, Uzbekistan, Bangladesh, India, Iraq, Turkey, Afghanistan, Iran, Tunis, Pakistan and Syria. Thus, with ISCSET 2023 we celebrated a true global convergence of knowledge and ideas

    Evaluation of YOLOv7 Deployment Performance on Various Platforms (CPUs, GPUs) and Strategies

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    In the past few years, machine learning (ML) has evolved from academic research curiosity into a practical domain capable of addressing tangible business challenges.Deploying machine learning (ML) models to production with an equivalent degree of thoroughness and automation as conventional software systems has proven to be a complex endeavor, demanding additional attention and infrastructure to address the unique challenges involved.Building and training machine learning models is just one part of the process. Deploying models into production is a critical step that brings the potential of these models to life and allows them to deliver value to organizations and end users.It\u27s the bridge between the theoretical work in the research and the practical application of machine learning in real-world scenarios. This research paper presents an original study focused on deploying a traffic sign detection and recognition system utilizing the YOLOv7 algorithm. The study evaluates the algorithm\u27s performance across diverse platforms and determines a robust production deployment strategy for YOLOv7.Index Terms—Traffic sign, Detection, Classification, Deep Neural networks, YOLOv7, Deploymen

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