By: Anderson James Douglas

Published: June 25, 2024

In an era marked by economic globalization and fierce market competition, the transformation and modernization of the manufacturing industry have emerged as vital strategies for national progress. To contend with escalating external competition and internal demands, the manufacturing sector must continually elevate its product quality and innovation capabilities to sustain...

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By: Jiancheng Li Xun

Published: June 25, 2024

The integration of large-scale renewable energy sources into the power grid has become increasingly important in recent years, driven by concerns over energy sustainability and environmental impact. However, the intermittent and unpredictable nature of renewable energy generation has led to power supply and demand imbalances, resulting in voltage and frequency...

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By: Wei Liu Cheng

Published: June 25, 2024

Fire robots, a distinct category of robotic technology, serve as formidable substitutes for human firefighters in the midst of perilous fire emergencies marked by high temperatures, thick smoke, and oxygen depletion. These versatile automatons are capable of executing critical missions, including smoke ventilation and cooling, fire suppression, and reconnaissance and...

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By: Anderson James Emily

Published: June 25, 2024

Ensuring the security and reliability of power supply stands as a pivotal necessity in today's modern society, impacting a wide array of critical sectors, including telecommunications, finance, water supply, healthcare, and manufacturing. The effective safety warning mechanism, with its capacity for sensitive and precise hazard forecasting and timely dissemination of...

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By: Yifan Liu Zhong

Published: June 25, 2024

Stochastic production systems (SPS) have demonstrated significant potential in various fields, including fermentation, pharmaceuticals, and composite material production. However, ensuring product quality in such scenarios is a critical challenge due to the stringent quality constraints. SPS is known for its intrinsic stochasticity and measurement uncertainty, making process monitoring essential but...

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