scholarly journals A Dam Performance Model Based on Rehabilitation of the Kariba Dam

2021 ◽  
Vol 1757 (1) ◽  
pp. 012159
Author(s):  
Junxiao Zhou ◽  
Junwei Cheng ◽  
Qian Li
Keyword(s):  
Performance Model ◽  
Model Based

A Nonlinear Observer for Minimizing Quantization Effects in Virtual Walls

1999 ◽  
Author(s):  
Daniel R. Madill ◽  
David W. L. Wang ◽  
Mennas C. Ching
Keyword(s):  
Coulomb Friction ◽  
Force Sensor ◽  
Performance Model ◽  
Nonlinear Observer ◽  
Direct Drive ◽  
Model Based ◽  
Measured Position ◽  
Three Degree Of Freedom ◽  
The Cost ◽  
Estimator Design

Abstract Quantization effects can reduce the achievable stiffness of virtual walls. Phase delays introduced by filtering are also an issue. This paper presents a non-linear model-based observer that produces smooth position and velocity estimates with very little delay based on measured position and force signals. Compensation for Coulomb friction and motor saturation is incorporated into the estimator. Use of the estimator in the implementation of a virtual wall yielded higher wall stiffnesses and better performance. Model-based estimator design was possible due to the design of the manipulator. The three degree-of-freedom manipulator employed is direct-drive, gravity-balanced, and dynamically-decoupled with nearly linear dynamics. The robot structure itself is employed as a force sensor, reducing the cost of the device.

scholarly journals An automatic performance model-based scheduling tool for coupled climate system models

2019 ◽  
Vol 132 ◽  
pp. 204-216 ◽  
Author(s):  
Nan Ding ◽  
Wei Xue ◽  
Zhenya Song ◽  
Haohuan Fu ◽  
Shiming Xu ◽  
...  
Keyword(s):  
Performance Model ◽  
Climate System ◽  
System Models ◽  
Model Based ◽  
Scheduling Tool ◽  
Climate System Models

Validation of Ultrafilter Performance Model Based on Systematic Simulant Evaluation

2009 ◽  
Vol 48 (22) ◽  
pp. 10077-10086 ◽  
Author(s):  
R. L. Russell ◽  
J. M. Billing ◽  
H. D. Smith ◽  
R. A. Peterson
Keyword(s):  
Performance Model ◽  
Model Based

scholarly journals Verification of the Job Performance Model based on Employees’ Dynamic Capabilities in organisations under the COVID-19 pandemic crisis

2021 ◽  
Vol 13 (3) ◽  
pp. 66-85
Author(s):  
Agnieszka Bieńkowska ◽  
Anna Koszela ◽  
Katarzyna Tworek
Keyword(s):  
Job Performance ◽  
Dynamic Capabilities ◽  
Work Motivation ◽  
Linear Regression Analysis ◽  
Research Result ◽  
Statistical Correlation ◽  
Performance Model ◽  
Critical Conditions ◽  
Black Swan ◽  
Model Based

Abstract The paper aims to verify the Job Performance Model based on Employees’ Dynamic Capabilities (EDC) and explain the mechanisms shaping job performance based on EDC in an initial phase of the crisis in an organisation due to the Black Swan phenomena, on the example of the COVID-19 pandemic of 2020. Empirical research on Italian organisations affected by the crisis shows that the Model is significantly distorted under such conditions. To verify the internal structure of the Job Performance Model based on EDC under critical conditions, the statistical correlation analysis, linear regression analysis and path analysis were executed using SPSS and SPSS AMOS. The research result of the statistical analysis confirmed that the new version of the Model for organisations under the Black Swan phenomenon was statistically significant without work motivation and job satisfaction. It was also proven that P–J fit still linked EDC and job performance through strengthening work engagement. The research confirmed that the Job Performance Model based on EDC, which has so far been verified under normal working conditions, radically changed its structure during the COVID-19 crisis. This means that factors previously considered important in the Job Performance Model based on EDC have become insignificant in shaping job performance. Therefore, this is an inspiration for further research to verify the Job Performance Model based on EDC in different phases of the crisis.

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