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Linearized model, dimensionality

We present in this paper an eddy current imaging system able to give an image of three-dimensional flaws. We implement a multifrequency linearized model for solving the 2590... [Pg.332]

Many references can be found reporting on the mathematical/empirical models used to relate individual tolerances in an assembly stack to the functional assembly tolerance. See the following references for a discussion of some of the various models developed (Chase and Parkinson, 1991 Gilson, 1951 Harry and Stewart, 1988 Henzold, 1995 Vasseur et al., 1992 Wu et al., 1988 Zhang, 1997). The two most well-known models are highlighted below. In all cases, the linear one-dimensional situation is examined for simplicity. [Pg.113]

Thus, the linear model is undoubtedly the most important one in the treatment of two-dimensional data and will therefore be discussed in detail. [Pg.95]

Partial least squares regression (PLS). Partial least squares regression applies to the simultaneous analysis of two sets of variables on the same objects. It allows for the modeling of inter- and intra-block relationships from an X-block and Y-block of variables in terms of a lower-dimensional table of latent variables [4]. The main purpose of regression is to build a predictive model enabling the prediction of wanted characteristics (y) from measured spectra (X). In matrix notation we have the linear model with regression coefficients b ... [Pg.544]

For linear models the joint confidence region is an Alp-dimensional ellipsoid. All parameters encapsulated within this hyperellipsoid do not differ significantly from the optimal estimates at the probability level of 1-a. [Pg.548]

The complete topographic description of a chiral n-point figure in three-dimensional space requires 3n coordinates relative to an external coordinate system. However, these coordinates are impractical because they contain information on the position of the figure, i.e., its translational and rotational state. A more convenient description for the chemist is obtained by incorporating chemical bonds, and the use of 3n — 5 (linear models) or 3n —6 internal ( chemical ) coordinates which are bond lengths bond angles torsion (dihedral) angles chirality sense of tripods. [Pg.10]

Unfortunately the first simplifying assumption of a linear equilibrium relation in the mass-balance model is not very accurate for practical chemical/biological systems. Therefore we will also present numerical solutions for linear high-dimensional systems with nonlinear equilibrium relations. A model that accounts for mass transfer in each tray will be... [Pg.357]

Support Vector Machine (SVM) is a classification and regression method developed by Vapnik.30 In support vector regression (SVR), the input variables are first mapped into a higher dimensional feature space by the use of a kernel function, and then a linear model is constructed in this feature space. The kernel functions often used in SVM include linear, polynomial, radial basis function (RBF), and sigmoid function. The generalization performance of SVM depends on the selection of several internal parameters of the algorithm (C and e), the type of kernel, and the parameters of the kernel.31... [Pg.325]

Funt et al. (1991, 1992) use a finite dimensional linear model to recover ambient illumination and the surface reflectance by examining mutual reflection between surfaces. Ho et al. (1992) show how a color signal spectrum can be separated into reflectance and illumination components. They compute the coefficients of the basis functions by finding a least squares solution, which best fits the given color signal. However, in order to do this, they require that the entire color spectrum and not only the measurements from the sensors is available. Ho et al. suggest to obtain the measured color spectrum from chromatic aberration. Novak and Shafer (1992) suggest to introduce a color chart with known spectral characteristics to estimate the spectral power distribution of an unknown illuminant. [Pg.63]

Funt BV and Drew MS 1988 Color constancy computation in near-mondrian scenes using a finite dimensional linear model In Proceedings of the Computer Society Conference on Computer Vision and Pattern Recognition, Ann Arbor, MI (eds. Jain R and Davis L), pp. 544-549. Computer Society Press. [Pg.372]

The models prepared in Activity 4.1 have the properties of a solid and linear three-dimensional work of art. The toothpicks give the work a linear look and the Styrofoam balls provide mass. The closer the atoms, ions, or molecules are packed, the more the artwork appears to be solid and massive, not linear. [Pg.163]

The photodissociation of trifluoromethyl iodide, CF3I —> CF3 + I/I, which was briefly discussed in Section 6.4, seems to illustrate case (a) of Figure 9.4 while the photo dissociation of methyl iodide, CH3I —> CH3 + I/I, appears more to represent case (b). In both examples, the 1/2 umbrella mode, in which the C atom oscillates relative to the Irrespectively F3-plane, is predominantly excited. Following Shapiro and Bersohn (1980) the dissociation of CH3I and CF3I may be approximately treated in a two-dimensional, pseudo-linear model in which the vibrational coordinate r describes the displacement of the C atom from the H3-/F3-plane and the dissociation coordinate R is the distance from iodine to the center-of-mass of CH3/CF3 (see Figure 9.6).t... [Pg.210]

Extrapolation of the linear experimental laboratory results is less than accurate unless the effects of areal displacement and gravity are taken into account. A recent study by Chilton (1987) embodies computer support for predicting two-dimensional and three-dimensional production curves for oil recovery with mobility-controlled carbon dioxide. Figure 1 shows the three-dimensional results and indicates a 26% increase in oil production when the mobility of the gas is decreased tenfold by appropriate means. In contrast, the equivalent linear model predicted only 5.4% increase in oil production with the same decrease in mobility. [Pg.388]

The tests cannot be extrapolated directly to field reservoir performance because the spatial geometry is different. The core tests have a linear, 1-dimensional flow geometry while the actual reservoir has radial, 3-dimensional flow. In 3-dimensional flow the displacement efficiency is typically less than that measured in linear displacement studies. Chilton (1987) showed in his computer simulation studies that, as compared with the linear flow case, the predicted oil produced was 10% less for the two-dimensional model and 27% less for the three-dimensional model. However, when mobility control was used with a tenfold decrease in carbon dioxide mobility, the calculated improvement in displacement efficiency was much less for the linear case than the three-dimensional case. This result indicates that the increase in displacement efficiency under field conditions should be greater than that recorded in these linear laboratory tests. [Pg.397]

In this paper, we will present a detailed analysis of the way In which resonances may affect the angular distribution of the products of reactive collisions. To do this, we have used an approximate three-dimensional (3D) quantum theory of reactive scattering (the Bending-Corrected Rotating Linear Model, or BCRLM) to generate the detailed scattering Information (S matrices) needed to compute the angular distribution of reaction products. We also employ a variety of tools, notably lifetime matrix analysis, to characterize the Importance of a resonance mechanism to the dynamics of reactions. [Pg.493]

Coupled channel methods for colllnear quantum reactive calculations are sufficiently well developed that calculations can be performed routinely. Unfortunately, colllnear calculations cannot provide any Insight Into the angular distribution of reaction products, because the Impact parameter dependence of reaction probabilities Is undefined. On the other hand, the best approximate 3D methods for atom-molecule reactions are computationally very Intensive, and for this reason. It Is Impractical to use most 3D approximate methods to make a systematic study of the effects of potential surfaces on resonances, and therefore the effects of surfaces on reactive angular distributions. For this reason, we have become Interested In an approximate model of reaction dynamics which was proposed many years ago by Child (24), Connor and Child (25), and Wyatt (26). They proposed the Rotating Linear Model (RLM), which Is In some sense a 3D theory of reactions, because the line upon which reaction occurs Is allowed to tumble freely In space. A full three-dimensional theory would treat motion of the six coordinates (In the center of mass) associated with the two... [Pg.494]

In the linear model which has just been discussed the number of modes is one less than the number of masses. In general, three-dimensional modes have to be considered, and here the relation obeyed is that if there are N atoms in the molecule, there are ZN—6 normal modes of vibration. This is easily proved. N isolated masses have ZN translational degrees of freedom and no others. Into whatever system the masses may be combined, they retain these. But since when N atoms constitute a molecule they must preserve certain relations between their coordinates, it becomes convenient to formulate some modes of motion in common namely 3 for the translation of the centre of gravity of the entire system and 3 for the rotation of the whole about three axes. This leaves ZN—6 degrees of freedom for vibration. [Pg.262]

For the linear model, which can be considered as a model with one-dimensional, stationary eharge transport, the potential variation in the electrolyte can be expressed by a simple differential equation (see Equation (10.7)) ... [Pg.280]

The variables (wavelengths) associated with the IR emission spectra were highly correlated. Principal components analysis (PCA), linear and nonlinear PLS showed that at least 86% of the total variance could be explained by the two primary latent dimensions. The forward and reverse modelling results showed that dimensional reduction with a linear model (PLS) produced better models than a nonlinear model (multilayer perceptron neural network trained with the back propagation algorithm) without dimensional reduction. [Pg.450]


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