A scaling procedure for the response of an isolated system with high modal overlap factor

2008 ◽  
Vol 22 (7) ◽  
pp. 1549-1565 ◽  
Author(s):  
S. De Rosa ◽  
F. Franco
1974 ◽  
Vol 3 (2) ◽  
Author(s):  
Franz Urban Pappi ◽  
Edward O. Laumann

AbstractSocial value orientations are introduced as a central set of variables for theories of voting behavior. Voting behavior is used as an example for a class of models which can demonstrate the linkage between social structure and individual behavior. Social value orientations are analytically defined and examined in relationship with related and complementary concepts like interests. Theoretically based on the AGIL paradigm, a comprehensive sample of indicators of social values is drawn from appropriate attitude scales. The structure of value orientations is empirically delineated by a multidimensional scaling procedure using the correlations between the indicators as input. Knowing this structure it is possible to construct a parsimonious set of eight scales of value orientations. Canonical correlations and discriminant analysis are the procedures used to relate this set with social structural antecedents and political attitudes and behavior as presumed consequences. The empirical analysis is based on data from the Jülich community study.


2017 ◽  
Vol 120 ◽  
pp. 410-422
Author(s):  
Sudhakar Munusamy ◽  
Parham Mobed ◽  
Debangsu Bhattacharyya ◽  
Raghunathan Rengaswamy

Author(s):  
Martin Marco Nell ◽  
Benedikt Groschup ◽  
Kay Hameyer

Purpose This paper aims to use a scaling approach to scale the solutions of a beforehand-simulated finite element (FE) solution of an induction machine (IM). The scaling procedure is coupled to an analytic three-node-lumped parameter thermal network (LPTN) model enabling the possibility to adjust the machine losses in the simulation to the actual calculated temperature. Design/methodology/approach The proposed scaling procedure of IMs allows the possibility to scale the solutions, particularly the losses, of a beforehand-performed FE simulation owing to temperature changes and therefore enables the possibility of a very general multiphysics approach by coupling the FE simulation results of the IM to a thermal model in a very fast and efficient way. The thermal capacities and resistances of the three-node thermal network model are parameterized by analytical formulations and an optimization procedure. For the parameterization of the model, temperature measurements of the IM operated in the 30-min short-time mode are used. Findings This approach allows an efficient calculation of the machine temperature under consideration of temperature-dependent losses. Using the proposed scaling procedure, the time to simulate the thermal behavior of an IM in a continuous operation mode is less than 5 s. The scaling procedure of IMs enables a rapid calculation of the thermal behavior using FE simulation data. Originality/value The approach uses a scaling procedure for the FE solutions of IMs, which results in the possibility to weakly couple a finite element method model and a LPTN model in a very efficient way.


2009 ◽  
Vol 58 (10) ◽  
pp. 7376
Author(s):  
Liu Qiao-Jun ◽  
Yang Lin ◽  
Wang Jie-Yu ◽  
Zuo Hao-Yi ◽  
Luo Shi-Rong ◽  
...  

1989 ◽  
Vol 37 (1) ◽  
pp. 47-60
Author(s):  
S.E.A.T.M. van der Zee ◽  
W.H. van Riemsdijk ◽  
J.J.M. van Grinsven

The interpolation or extrapolation in time of physicochemical processes from experimental data is often difficult. A theoretically derived time-scaling procedure using an exposure variable of the concentration integrated in time, with at most one adjustable parameter was applied successfully to three systems taken from metallurgical, agricultural and environmental engineering. This scaling rule is potentially useful as a research or management tool for systems that are too complex for mechanistic modelling. (Abstract retrieved from CAB Abstracts by CABI’s permission)


1989 ◽  
Vol 209 ◽  
pp. 249-263 ◽  
Author(s):  
Lev Shemer ◽  
Eliezer Kit

Results of an experimental and numerical study of parametrically excited nonlinear cross-waves in the vicinity of the cut-off frequency, are reported. Experiments are performed at three cross-wave modes and in the whole range of existence of cross-waves. Numerical studies are based on the solution of the nonlinear Schrödinger equation with a boundary condition at the wavemaker which corresponds to parametric excitation. The validity of the scaling procedure adopted in the model is verified experimentally. Dissipation is incorporated in the model equation and in the wavemaker boundary condition. The influence of the wave breaking on the range of existence of cross-waves is discussed and the relation between the maximum possible steepness of cross-waves and the limits of their existence is obtained.


Author(s):  
Anna L. Rowe ◽  
Nancy J. Cooke

Part of the success of computerized intelligent tutoring systems will be associated with their ability to assess and diagnose students' knowledge in order to direct pedagogical interventions. What is needed is a methodology for identifying general relationships between on-line action patterns and patterns of knowledge derived off-line. Such a methodology would allow an assessment and diagnosis of knowledge, based only on student actions. The focus of this initial research is the development of a means of identifying meaningful action patterns in student-tutor interactions. Actions executed by subjects on a set of verbal troubleshooting tests (Nichols et al., 1989) were summarized using the Pathfinder network scaling procedure (Schvaneveldt, 1990). The results obtained from this work indicate that meaningful patterns of actions can be identified using the Pathfinder procedure. The network patterns are meaningful in the sense that they can differentiate high and low performers as defined by a previous scoring method. In addition, the networks reveal differences between high and low performers suggestive of targets for intervention.


Sign in / Sign up

Export Citation Format

Share Document