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Showing result 1 - 5 of 99 essays matching the above criteria.
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1. 3D Modeling of Factory Scenarios for 5G Evaluations
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : 5G is a key enabler for a variety of use cases in smart manufacturing which requires communications with high reliability and low latency. In a dynamic industrial environment, objects such as machines, production lines, storage shelves, robotic arms, and automatically guided vehicles may cause fading and have a large impact on radio propagation. READ MORE
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2. Emulation of Network Device Behaviour for Robot Controller Testing
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : The testing of software for robot controllers has become increasingly difficult as robotic systems become more complex. As the complexity of the systems increases, the number of hardware systems that the robot relies on also grows. READ MORE
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3. Enhancing human-robot interaction using mixed reality
University essay from Högskolan i Skövde/Institutionen för ingenjörsvetenskapAbstract : Industry 4.0 is a new phase of industrial growth that has been ushered in by the quick development of digital technologies like the Internet of Things (IoT), artificial intelligence (AI), and robots. Collaborative robotic products have appeared in this changing environment, enabling robots to collaborate with people in open workspaces. READ MORE
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4. Anomaly Detection in the EtherCAT Network of a Power Station : Improving a Graph Convolutional Neural Network Framework
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this thesis, an anomaly detection framework is assessed and fine-tuned to detect and explain anomalies in a power station, where EtherCAT, an Industrial Control System, is employed for monitoring. The chosen framework is based on a previously published Graph Neural Network (GNN) model, utilizing attention mechanisms to capture complex relationships between diverse measurements within the EtherCAT system. READ MORE
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5. Neural Networks for Predictive Maintenance on Highly Imbalanced Industrial Data
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Preventive maintenance plays a vital role in optimizing industrial operations. However, detecting equipment needing such maintenance using available data can be particularly challenging due to the class imbalance prevalent in real-world applications. READ MORE