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In the process of parameter identification, sensitivity analysis is mainly used to determine key parameters with high sensitivity in the model. Sensitivity analysis methods include local sensitivity analysis (LSA) and global sensitivity analysis (GSA ...
Chuan Qin +4 more
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Measurement and response decoding is an ongoing challenge in the chipless radio-frequency identification (RFID) field. Measurement uncertainties, including tag/reader misalignment, radar cross-section or S-parameter error, and clutter, can cause response
Katelyn R. Brinker, Reza Zoughi
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Measurement and response decoding is an ongoing challenge in the chipless radio-frequency identification (RFID) field. Measurement uncertainties, including tag/reader misalignment, S-parameter error, and clutter, can cause response distortions, such as ...
Katelyn Brinker, Reza Zoughi
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Sensitivity analysis of upscaling prediction of the mass flux at DNAPL contaminated sites
Dense nonaqueous phase liquid (DNAPL) contamination is a growing problem. To assess the environmental risk of DNAPL-contaminated sites, the mass flux of the dissolved phase (mass flux) in the source zone of DNAPL contamination is often extrapolated using
Meiyu Song +3 more
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Local Sensitivity of Failure Probability through Polynomial Regression and Importance Sampling
Evaluating the failure probability of a system is essential in order to assess its reliability. This probability may significantly depend on deterministic parameters such as distribution parameters or design parameters.
Marie Chiron +2 more
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This article deals with the study of disturbance that travels through the transversely isotropic medium in the form of waves. The particles of the considered medium have an additional property of small-scale internal rotation along with macroscopic ...
Muhammad Aamir +4 more
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As the level of greenhouse gas emissions increases, so does the importance of the energy performance of buildings (EPB). One of the main factors to measure EPB is a structure’s heating load (HL) and cooling load (CL).
Azadeh Sadeghi +3 more
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Pointwise local pattern exploration for sensitivity analysis [PDF]
Sensitivity analysis is a powerful method for discovering the significant factors that contribute to targets and understanding the interaction between variables in multivariate datasets. A number of sensitivity analysis methods fall into the class of local analysis, in which the sensitivity is defined as the partial derivatives of a target variable ...
Zhenyu Guo +3 more
openaire +1 more source
Evaluating local strain rate sensitivity of titanium alloy using dynamic nanoindentation testing
Constant strain rate nanoindentation testing is useful for evaluating local strain rate sensitivity. In titanium alloys, the dwell fatigue at room temperature is a critical issue, and this phenomenon is known as relating to local strain rate sensitivity.
Yukimi Tanaka +2 more
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Global sensitivity analysis of an end-to-end marine ecosystem model of the North Sea : factors affecting the biomass of fish and benthos [PDF]
Comprehensive analysis of parameter and driver sensitivity is key to establishing the credibility of models of complex systems. This is especially so for models of natural systems where experimental manipulation of the real-world to provide controlled ...
Cameron, Angus +3 more
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