This large-scale study explores the complex connection between blood glucose levels and brain metabolism using Electroencephalogram (EEG) data as a key research technique. Glucose, the brain's main energy source, ...
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In a manufacturing enterprise, like Bosch, answering business questions regarding production lines, involves different stakeholders. Production planning, product and production process development, quality management,...
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This paper focuses on the application of AutomationML (AML) and Open Platform Communications Unified Architecture (OPC UA) in robot interoperability, aiming to promote the intelligence and interoperability of producti...
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ISBN:
(纸本)9798331528911;9798331528928
This paper focuses on the application of AutomationML (AML) and Open Platform Communications Unified Architecture (OPC UA) in robot interoperability, aiming to promote the intelligence and interoperability of production systems in the era of Industry 4.0. By analyzing the current challenges of industrial robot interoperability, especially in terms of data standardization, a robot system architecture is proposed to improve the compatibility and information exchange efficiency between different types of robots. Research methods include system architecture design, integration of AML and OPCUA methods, and their empirical application in real-world manufacturing environments. The results confirm the feasibility and practicability of the method in the application of industrial robots, and give different devices higher interoperability and flexible response ability. It provides a theoretical basis and practical guidance for the development of intelligent manufacturingsystems in the future, and has important practical significance and application value in improving the level of industrial digitalization and intelligence.
The aim of cross-modal image-text retrieval is to heighten comprehension and to create robust associations between visual and textual content. This process entails a mutual querying and synchronization across various ...
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Graph Neural Network (GNN)-based recommendation systems have become very popular in recent years. Their popularity stems from the fact that nodes can access higher-order neighbor information and there are well-designe...
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Wireless Sensor Networks (WSNs) are a cornerstone of modern IoT applications, enabling data collection across various environments. The efficiency of these networks, however, is hampered by the limited energy resource...
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This study investigated the effectiveness of a method using a neural network coupled with remote sensing, water depth, and temperature data in estimating water quality for multiple water quality parameters. The propos...
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The technical realization of temperature control system plays a key role in the development of industrial automation. This paper designs a temperature control system with the heating furnace model as the controlled ob...
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Additive manufacturing is an innovative production approach aimed at creating products that traditional techniques cannot produce with the desired quality and requirements. Throughout the additive manufacturing proces...
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