Titlebook: Real-time and Autonomous Systems 2022; Automation in Everyd Herwig Unger,Marcel Schaible Conference proceedings 2023 The Editor(s) (if appl

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Industrie 4.0-Compliant Digital Twins Boosting Machine Servitizationustomers operating machines in their shop-floors, high machine availability is the cornerstone of successful business relationships. Industrie 4.0-compliant Digital Twins automatically connect the customers’ machines to a servicing system of the supplier minimizing costs for machine and service inte

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A Vibrotactile Assistance System for Factory Workers for Accident Detection and Prevention in the Loy worker is presented. A multisensory approach is adopted for better recognition of the detected area. The sensor models used and their interaction in hazard detection are considered. The focus will be on parallel real-time processing in data acquisition, object detection, direction evaluation and h

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MBSE for SMEs with Domain-Specific Safety Analyses and Loose Tool Couplingriterion is the safety integrity level (SIL), which is mainly based on failure probabilities. A development approach based on models, also called Model-Based Systems Engineering (MBSE), is increasingly coming into focus for a highly regulated development process. Probabilistic safety and reliability

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A Survey on Pedestrian Detection: Towards Integrating Vulnerable Road Users into Sensor Networksng vulnerable road users into sensor networks. Besides the sensor-specific object detection methods based on LIDAR sensors, RADAR sensors, thermal imaging cameras, RGBD cameras, and RGB cameras, a selection of sensor fusion methods is presented. Shown methods have been developed to increase traffic

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Real-Time Audio Classification to Determine the Article of a German Noun of a word in a text. The rules given in the German language help with the article assignment, but are not always consistent and meaningful for all words. In the human brain, this assignment can take place intuitively and in real-time, if it is trained over many years. This work is concerned with ve

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Neural Networks in View of Explainable Artificial Intelligence of these functions. Experience from other areas of approximation theory shows that closed-form approximation functions determined globally such as neural networks tend to be quite rippled and are, thus, outperformed by approximation functions defined locally. With respect to artificial intelligence

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