Results 21 to 30 of about 993,116 (266)

Multi-Stage Sensitivity Analysis of the Energy Demand for the Cooling of Grain Warehouses in Cold Regions of China

open access: yesAgriculture
The early design parameters exert a considerable influence on the cooling energy demand of a granary building in operation. In order to investigate the impact of various parameters on energy use, a grain warehouse energy model was constructed using the ...
Hua Zhang   +4 more
doaj   +1 more source

Evaluation of a Pointwise Local Visual Pattern Exploration Method

open access: yesTsinghua Science and Technology, 2012
Sensitivity analysis is a powerful method for discovering the significant factors that contribute to understanding the interaction between variables in multivariate datasets. A number of sensitivity analysis methods fall into the class of local analysis,
Zhenyu Guo   +3 more
doaj   +1 more source

Global Dynamics in an Alcoholism Epidemic Model with Saturation Incidence Rate and Two Distributed Delays

open access: yesMathematics, 2023
In this study, considering the delays for a susceptible individual becoming an alcoholic and the relapse of a recovered individual back into being an alcoholic, we formulate an epidemic model for alcoholism with distributed delays and relapse.
Zejun Wang   +3 more
doaj   +1 more source

Quantifying Knock-On Effects and Total Impact of Design Choices via Combined Sensitivity Analysis and Structural Equation Modeling Techniques

open access: yesIEEE Access
Vehicles are complex systems composed of interdependent subsystems, where a change in one component can propagate through others, causing knock-on effects and impacting the overall performance.
Sai Kausik Abburu   +2 more
doaj   +1 more source

The Influence Factors Analysis of Balanced Field Length Based on Local Sensitivity

open access: yesHangkong gongcheng jinzhan, 2019
Balance field length is one of the important technical indexes in civil aircraft design and operation, and it has an important influence on civil aircraft economy, safety and universality, and also determines the aircraft decision speed.
Zhang Lina, Wang Shitao, Liu Xiaochuan
doaj   +1 more source

Local reliability based sensitivity analysis with the moving particles method [PDF]

open access: yesReliability Engineering & System Safety, 2021
Local reliability sensitivity methods aim at determining the partial derivatives of the failure probability or the reliability index with respect to model parameters. For efficient local reliability based sensitivity analysis, it is important to avoid repeated evaluations of the performance function.
openaire   +4 more sources

Sensitivity Analysis of a Photovoltaic Cell with a Single-Diode Model at Maximum Power Point: A Derivative-Based Approach [PDF]

open access: yesJournal of Renewable Energy and Environment
The necessity of sensitivity analysis has rapidly increased for systems with unknown or uncertain mathematical relationships between inputs and outputs.
Ehsan Moshksar
doaj   +1 more source

Sensitivity Analysis in the Dupire Local Volatility Model with Tensorflow

open access: yesCoRR, 2020
In a recent paper, we have demonstrated how the affinity between TPUs and multi-dimensional financial simulation resulted in fast Monte Carlo simulations that could be setup in a few lines of python Tensorflow code. We also presented a major benefit from writing high performance simulations in an automated differentiation language such as Tensorflow: a
Francois Belletti   +4 more
openaire   +2 more sources

A Network Analysis-Based Distributed Load Shedding Strategy for Voltage Collapse Prevention

open access: yesIEEE Access, 2019
This paper proposes a network analysis-based distributed load shedding strategy for voltage collapse prevention. The two-level framework of the distributed load shedding strategy is proposed. The lower one is consisted of local load shedding controllers,
Aina Tian, Xiaoming Mou
doaj   +1 more source

Dependent Coeffects for Local Sensitivity Analysis

open access: yesProceedings of the ACM on Programming Languages
Differential privacy is a formal definition of privacy that bounds the maximum acceptable information leakage when a query is performed on sensitive data. To ensure this property, a key technique involves bounding the query’s sensitivity (how much input variations affect the output) and adding noise to the result according to this quantity. While prior
Victor Sannier, Patrick Baillot
openaire   +2 more sources

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