Multi-Channel-Management als Differenziator am Markt

Influence of green channel management model on clinical outcomes of patients with trauma at emergency department

Academic Journal of Second Military Medical University ◽

10.3724/sp.j.1008.2010.00928 ◽

2010 ◽

Vol 30 (8) ◽

pp. 928-928

Author(s):

Jie TANG ◽

Chao HE ◽

Wen-fang LI ◽

Zhao-fen LIN

Keyword(s):

Emergency Department ◽

Clinical Outcomes ◽

Management Model ◽

Channel Management ◽

Green Channel

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LCOS-Based 4×4 Wavelength Cross-Connect Switch For Flexible Channel Management in ROADMs

Optical Fiber Communication Conference/National Fiber Optic Engineers Conference 2011 ◽

10.1364/ofc.2011.otum4 ◽

2011 ◽

Cited By ~ 8

Author(s):

Yasuki Sakurai ◽

Masahiro Kawasugi ◽

Yuji Hotta ◽

MD. Saad Khan ◽

Hisashi Oguri ◽

...

Keyword(s):

Channel Management ◽

Cross Connect

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Client-driven channel management for wireless LANs

ACM SIGMOBILE Mobile Computing and Communications Review ◽

10.1145/1215976.1215981 ◽

2006 ◽

Vol 10 (4) ◽

pp. 8-10

Author(s):

Arunesh Mishra ◽

Vladimir Brik ◽

Suman Banerjee ◽

Aravind Srinivasan ◽

William Arbaugh

Keyword(s):

Wireless Lans ◽

Channel Management

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Notice of Violation of IEEE Publication Principles - Dual sales channel management with service competition

2008 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2008.4620493 ◽

2008 ◽

Author(s):

Hong-Zhen Zheng ◽

Dian-Hui Chu ◽

De-Chen Zhan ◽

Xiao-Fei Xu

Keyword(s):

Channel Management ◽

Service Competition ◽

Sales Channel

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Random Access Channel Management for Handling Massive Numbers of Machine-to-Machine Communication Devices

2018 International Conference on Information and Communication Technology Convergence (ICTC) ◽

10.1109/ictc.2018.8539660 ◽

2018 ◽

Cited By ~ 2

Author(s):

Agusta Daniel Anthoni Kurnia ◽

Young-June Choi

Keyword(s):

Random Access ◽

Channel Management ◽

Machine To Machine ◽

Access Channel ◽

Communication Devices ◽

Random Access Channel ◽

Machine To Machine Communication ◽

Machine Communication

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Derivation of Input Distributions for Probabilistic Evaluation Using In-Reactor Measurements

Volume 2: Computer Technology and Bolted Joints ◽

10.1115/pvp2012-78216 ◽

2012 ◽

Cited By ~ 1

Author(s):

Eric Nadeau

Keyword(s):

Risk Reduction ◽

Management Strategy ◽

Reactor Core ◽

Pressure Tube ◽

Channel Management ◽

Maintenance Strategy ◽

Acceptance Criteria ◽

Fuel Channel ◽

Probabilistic Evaluation ◽

Commercial Operation

Candu Energy Inc. (former commercial operation of AECL) has developed probabilistic tools to support nuclear plant operators with a risk-based fuel channel management strategy. One such tool is used to evaluate the probability of pressure tube rupture resulting from pressure tube to calandria tube contact and hydride blisters. This tool assumes that PT rupture occurs when delayed hydride cracking (DHC) initiates in a blister. The objectives of the probabilistic assessments are to: • Determine the overall risk of PT rupture in the reactor core for comparison with the acceptance criteria. • Determine the risk of PT rupture for specific fuel channels to assist in the development of an inspection/maintenance strategy. • Evaluate the risk reduction that would result from different fuel channels inspection/maintenance scenarios. • Optimize inspection/maintenance programs. The distributions of the most critical input distributions can be derived by benchmarking against in-reactor measurements. Two benchmark methods were developed to take advantage of the recent advancements in the accuracy of the inspection tool that measures the gap profile between the PT and the CT.

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