1,720,976 research outputs found

    Ein System zur Automatisierung der Planung und Programmierung von industriellen Roboterapplikationen

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    Um die Effizienz bei der Planung und Programmierung von Roboter-Fertigungssystemen zu steigern, setzen Unternehmen rechnergestützte CAR-Systeme (Computer Aided Robotics) ein. Diese Arbeit stellt ein neues System vor, das erstmals nach einem vom Anwender festgelegten Ablauf steuerungsspezifische Roboterprogramme generiert, simuliert und bewertet. Die Arbeit zeigt auf, wie sich damit die Gesamtkosten der Roboterprogrammierung für ein variantenreiches Produktspektrum reduzieren lassen. Außerdem wird in der Arbeit der Einsatz des Systems für die Planung von Roboterapplikationen vorgestellt. In einem automatisierten Ablauf kann das System unter Einbindung der Robotersteuerung des Herstellers unterschiedliche Planungsszenarios (z.B. Komponentenauswahl, Layout) zuverlässig bewerten. Es wird detailliert auf die für den Ablauf notwendige Skriptsprache sowie die zugehörige Systemarchitektur eingegangen. Das Potential, das in dem neuartigen System steckt, wird anhand von Applikationen aus Forschung und Industrie aufgezeigt

    Cycle Time Measurement Using AI-Based Object Detection and Tracking in Industrial Processes

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    This paper presents an AI-based system for improving cycle time measurement in industrial environments, leveraging YOLOv8 for object detection and ByteTrack for tracking. Our non-invasive approach analyzes video from an Azure Kinect camera to calculate cycle times by detecting objects and monitoring their state changes. Tested at the University of Applied Sciences Kempten’s demo plant, the system showcased high accuracy against ground truth data, highlighting its potential to enhance production line monitoring and efficiency significantly. This work contributes to industrial automation by offering a real-time, accurate method for cycle time analysis, promising substantial advancements in manufacturing process optimization

    Industrial Metaverse in Industrial Application

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    Die Fertigungsindustrie orientiert sich derzeit in Richtung von Technologien, die Sprungbrettinnovationen in der Produktion ermöglichen. In diesem Zusammenhang werden häufig das Industrial Metaverse und die Künstliche Intelligenz (KI) genannt. In diesem Artikel werden erste Implementierungen dieser Technologien und aktuelle Forschungsaktivitäten im Produktionsumfeld vorgestellt.The manufacturing insustry is currently oriented towards technologies that enable springboard innovations in production. In this context, the Industrial Metaverse and Artificial Intelligence (AI) are often mentioned. This article presents first producion-related implementations of these technologies and current research activities

    A New IT Architecture for the Digital Factory

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    In general, current systems for the Digital Factory implement a product-process-resource (PPR) data model in a monolithic rich-client/server architecture with a single database persistence layer. Common data objects are the product bills of material, descriptions of the production processes, or the resource structure, e.g. bill of equipment. The main drawback of the current monolithic architecture is the slow rate of development, which prevents fast adoption of the software to the new production planning process (i.e., due to new technologies for the transformation of the automotive industry with the goal of electrification) is not possible. Furthermore, time-consuming and error-prone export-import operations characterize the collaboration of the engineering supply chain. Mercedes-Benz has created a new IT system architecture for their Digital Factory. The core idea of this architecture is a module-based approach. Each planning step has its own module, e.g. product analysis, layout planning or cost calculation. One single module consists of a server-based business logic, a web-based user interface and its own database. Each module is the source of master data objects that originate from the corresponding planning step and refers to data objects from predecessor planning steps. The single modules communicate mostly via KAFKA. The usage of a model based application engine allows the fast creation of different modules. Best-of-breed third-party systems for specific planning steps can be integrated into the system architecture. Web technologies allow suppliers to access the Mercedes-Benz systems directly for a fully integrated supplier collaboration. Roll-out has started and has already led to significant efficiencies

    Architecture Options to Orchestrate Digital Twins in an Industrial Metaverse for the Predictive Production with AI Method: Evaluation of Options and Proposal for a High-Level Roadmap

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    The Industrial Metaverse (IM) is an upcoming topic for companies and offers new possibilities to digitalize and optimize their business processes together with AI capabilities. In the production domain, the Industrial Metaverse is a step towards the vision of predicting factory behavior for optimization purposes. A central challenge is a complete factory model necessary as the base to predict its behavior. Therefore, the IM approach is promising to build and contain this model out of available single Digital Twins of factory parts. Consequently, an IT target landscape is required to build an Industrial Metaverse for Digital Twins. This paper evaluates different design pattern options for an industrial IT architecture reference implementation of an IM that companies can use in current IT landscapes. It also proposes a high-level roadmap towards the proposed target IT architecture of an IM

    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

    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
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