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About 10,000 papers for “process monitoring”

Process monitoring

Francesco Comiti, Giulia Bossi, Francesca Bearzot et al. · Elsevier eBooks · 2024

Cited by 0

Process Monitoring

Gary S. May Ph.D., Costas J. Spanos Ph.D. · 2006

In order for semiconductor processes to repeatably produce reliable, high-quality devices and circuits, each unit process must be strictly controlled. Many diagnostic tools are used to maintain systematic control. Such control requires that the key output variables for each process step (i.e., those that are correlated with product functionality and performance) be carefully monitored. Process monitoring enables operators and engineers to detect problems early on to minimize their impact. The economic benefit of effective monitoring systems increases with the complexity of the manufacturing process. Manufacturing line monitors consist of extremely sophisticated metrology equipment which can be divided into tools which characterize the state of features on the semiconductor wafers themselves and those which describe the status of the fabrication equipment operating on those wafers. The issues involved in understanding and implementing both wafer state and equipment state measurements will be discussed in detail in this chapter.

Cited by 0

Monitoring process

Behaviour Change Intervention Ontology (BCIO) · Definitions · 2025

Monitoring processBehaviour Change Intervention Ontology (BCIO) De nition: A in which one observes to inform their own behaviour.This de nition was imported from the Behaviour Change Intervention Ontology (see https://bciosearch.org/).Comments and suggestions for improvements are welcome using the Qeios review system. De nitions imported from the Behaviour Change Intervention Ontology (BCIO) are what are known as'ontological de nitions'.See this article in Qeios for an explanation https://www.qeios.com/read/YGIF9B.Ontological de nitions can sometimes be hard to read.In those cases we also include an informal de nition.De nitions also often require elaboration to make it clear how they should be used and what they include.In those cases we include a comment.Also, de nitions sometimes require an explanation as to how they came about to help users understand how they relate to alternative de nitions.In those cases we include a curator note.

Cited by 0Open access

Process Monitoring

Stephen B. Vardeman, J. Marcus Jobe · Springer texts in statistics · 2016

Cited by 0

Fire monitoring process.

Md. Shafak Shahriar Sozol (21212880), M. Rubaiyat Hossain Mondal (8415447), Achmad Husni Thamrin (21212883) · Figshare · 2025

<div> Ensuring safety and safeguarding indoor properties require reliable fire detection methods. Traditional detection techniques that use smoke, heat, or fire sensors often fail due to false positives and slow response time. Existing deep learning-based object detectors fall short of improved accuracy in indoor settings and real-time tracking, considering the dynamic nature of fire and smoke. This study aimed to address these challenges in fire and smoke detection in indoor settings. It presents a hyperparameter-optimized YOLOv5 (HPO-YOLOv5) model optimized by a genetic algorithm. To cover all prospective scenarios, we created a novel dataset comprising indoor fire and smoke images. There are 5,000 images in the dataset, split into training, validation, and testing samples at a ratio of 80:10:10. It also used the Grad-CAM technique to provide visual explanations for model predictions, ensuring interpretability and transparency. This research combined YOLOv5 with DeepSORT (which uses deep learning features to improve the tracking of objects over time) to provide real-time monitoring of fire progression. Thus, it allows for the notification of actual fire hazards. With a mean average precision (<a href="mailto:mAP@0.5" target="_blank">mAP@0.5</a>) of 92.1%, the HPO-YOLOv5 model outperformed state-of-the-art models, including Faster R-CNN, YOLOv5, YOLOv7 and YOLOv8. The proposed model achieved a 2.4% improvement in mAP@0.5 over the original YOLOv5 baseline model. The research has laid the foundation for future developments in fire hazard detection technology, a system that is dependable and effective in indoor scenarios. </div>

Cited by 0Open access

Process monitoring system

J.J. Hoefer · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 1979

An automated process monitoring and control concept applicable to printed wiring board fabrication has been generated. This conceptual system utilizes a minicomputer to provide improved process control by monitoring, analyzing, and controlling critical parameters and equipment associated with printed wring board production processes.

Cited by 0Open access

Intelligent process monitoring

Uhlmann, E., Fries, E. · Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) · 1999

S.21-25

Cited by 1