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Design of experiments (DOE) offers a great deal of benefits to any manufacturing organization, such as characterization of variables and sets the path for the optimization of the levels of these variables (settings) trough the Response surface methodology, leading to process capability improvement, efficiency increase, cost reduction.
Descriptive statistics were employed for basic characterization of variables.
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This work presents a characterization of important variables and the research on the effects of these variables.
It is observed that characterization of random variables by log-normal distribution is reasonable.
Noise mapping allows the characterization of environmental variables, such as noise pollution or soundscape, depending on the task.
The computation of the solution of such systems is a central problem when the characterization of the variables related by such systems is desired.
Afterward, considering the results of the characterization of the variables, a first prototype is suggested and the details of its mechanical, electronic and control design are explained.
In addition, characterization of these variables is important in case definitions, treatment efficacy assessment and as indicators of outcome [ 14].
The strengths of our investigation include the large, homogenous, community-based study sample with detailed characterization of glucometabolic variables, cardiovascular risk factors, and lifestyle factors.
This paper presents the design, fabrication and characterization of a Variable Optical Attenuator (VOA).
This investigation reports the design, fabrication and characterization of a variable range and multi-directionally sensitive micromachined thermal flow sensor based on amorphous germanium thermistors.
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