Results 211 to 220 of about 46,729 (250)

Leveraging FMMEA for Digital Twin Development: A Case Study on Intelligent Completion in Oil and Gas. [PDF]

open access: yesSensors (Basel)
Costa da Silva NV   +7 more
europepmc   +1 more source
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RPN tuning strategy for model predictive control

Journal of Process Control, 2003
Abstract A novel tuning strategy based on RPN for MIMO MPC is presented. The RPN indicates how potentially difficult it is for a given system to achieve the desired performance robustly. It reflects both the attainable performance of a system and its degree of directionality.
Jorge O Trierweiler
exaly   +2 more sources

Systematic Review: Bridging the Gap in RPN‐to‐RN Transitions

Journal of Nursing Scholarship, 2015
AbstractPurposeTo review the evidence examining the influences of successful education and professional role transition for registered practical nurses (RPNs) pursuing a baccalaureate degree in nursing (BScN) and registered nurse (RN) licensure through RPN‐to‐RN bridging programs.DesignSystematic review of papers published between 1995 and 2014 that ...
Grace, Suva   +6 more
exaly   +3 more sources

RPN tuning strategy for model predictive control

IFAC Postprint Volumes IPPV / International Federation of Automatic Control, 2001
Abstract A novel tuning strategy based on RPN for MIMO MPC is presented. The RPN indicates how potentially difficult it is for a given system to achieve the desired performance robustly. It reflects both the attainable performance of a system and its degree of directionality.
Jorge O Trierweiler
exaly   +2 more sources

The optimization of RPN criticality analysis method in FMECA

2009 International Conference on Apperceiving Computing and Intelligence Analysis, 2009
Aiming at the defect of traditional Risk Priority Number(RPN) method in FMECA, a RPN assessment method is put forward which bases on the fault propagation probability and cost, then a corrective actions choice method is presented by gray correlation theory. Firstly, the occurrence probability and cost are calculated according to fault propagation tree.
null Yu-Mei Niu   +3 more
exaly   +2 more sources

PU Learning for RPN Generalization

2020 The 4th International Conference on Video and Image Processing, 2020
Region proposal is an important part of the two-stage object detection. RPNs pay more attention to the object within dataset, which has poor generalization and cannot generate objects that is unseen in the dataset. The traditional method does not rely on data but the performance is poor.
Tengfei Hou   +2 more
openaire   +1 more source

RPN Prototype Alignment For Domain Adaptive Object Detector

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Recent years have witnessed great progress of object detection. However, due to the domain shift problem, applying the knowledge of an object detector learned from one specific domain to another one often suffers severe performance degradation. Most existing methods adopt feature alignment either on the backbone network or instance classifier to ...
Yixin Zhang, Zilei Wang, Yushi Mao
openaire   +1 more source

RN and RPN Decision Making Across Settings

Nursing Leadership, 2000
Nursing decision making was a focus of the Province-Wide Nursing Project (PWNP), a 3-year project to promote best nursing practice. In much of the growing literature on nursing decision making, it is assumed that there are differences in the way RNs and RPNs make decisions. However, there is little scientific evidence to support this assumption. The RN
J, Royle   +5 more
openaire   +2 more sources

Current status of robotic partial nephrectomy (RPN)

BJU International, 2011
What's known on the subject? and What does the study add? Nephron‐sparing surgery is now the gold standard for the treatment of small renal masses.
Eugene K, Cha   +2 more
openaire   +2 more sources

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