Results 31 to 40 of about 934,913 (311)
This paper aims to provide rapid and precise methods to allow industrials to predict the amount of sewing thread needed to sew a garment using different lockstitches of class 300 (301, 301/301, 304, 308, 309, 310, 311, 312, and 315).
Sarah Malek +3 more
doaj +1 more source
Rapid and precise methods (geometrical and statistical), which aim to predict the amount of sewing thread needed to sew a garment using different over-edge stitches of class 500 (501, 503, 504, 505, 512, 514, 515, and 516), have been provided.
Sarah Malek +2 more
doaj +1 more source
Determination of deformation properties of soils as input parameters for calculation [PDF]
When designing the foundations of any building structure, it is important to know not only the load of the structure, but also the deformation characteristics of the subsoil.
Panulinova Eva, Harabinova Slavka
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Homogenization with uncertain input parameters [PDF]
Summary: We homogenize a class of nonlinear differential equations set in highly heterogeneous media. Contrary to the usual approach, the coefficients in the equation characterizing the material properties are supposed to be uncertain functions from a given set of admissible data. The problem with uncertainties is treated by means of the worst scenario
openaire +2 more sources
Input-output parameters for the steady-state model of Independencia Bay in 1998, Peru [PDF]
Input-output parameters for the steady-state model of Independencia Bay in 1998 ...
Yamashiro, Carmen +7 more
core +1 more source
Simulated input parameters. [PDF]
Simulated input parameters.
Waqas Farooq (11820005) +9 more
core +1 more source
The one-factor experiment design has been applied in the analysis of all input parameters occurring in the two phase flow process in automatic rifle barrels. The parameters predominantly influencing input characteristics have been chosen afterwards.
Obrad Čabarkapa
doaj +1 more source
Accounting for input-model and input-parameter uncertainties in simulation [PDF]
To account for the input-model and input-parameter uncertainties inherent in many simulations as well as the usual stochastic uncertainty, we present a Bayesian input-modeling technique that yields improved point and confidence-interval estimators for a selected posterior mean response. Exploiting prior information to specify the prior probabilities of
FAKER ZOUAOUI, JAMES R. WILSON
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