Development and evaluation of an adaptive loudness scaling procedure

1999 ◽  
Vol 105 (2) ◽  
pp. 1297-1297
Author(s):  
Thomas Brand ◽  
Volker Hohmann
Keyword(s):  
Scaling Procedure ◽  
Loudness Scaling

scholarly journals Deriving loudness growth functions from categorical loudness scaling data

2017 ◽  
Vol 142 (6) ◽  
pp. 3660-3669 ◽  
Author(s):  
Marcin Wróblewski ◽  
Daniel M. Rasetshwane ◽  
Stephen T. Neely ◽  
Walt Jesteadt
Keyword(s):  
Growth Functions ◽  
Loudness Scaling ◽  
Loudness Growth

Gesellschaftliche Wertorientierungen und politisches Verhalten / Social value orientations and political behavior

1974 ◽  
Vol 3 (2) ◽  
Author(s):  
Franz Urban Pappi ◽  
Edward O. Laumann
Keyword(s):  
Voting Behavior ◽  
Value Orientations ◽  
Social Value ◽  
Canonical Correlations ◽  
Scaling Procedure ◽  
Social Structural ◽  
Social Value Orientations ◽  
And Behavior ◽  
Attitudes And Behavior ◽  
The Empirical Analysis

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.

An adaptive procedure for categorical loudness scaling

2002 ◽  
Vol 112 (4) ◽  
pp. 1597-1604 ◽  
Author(s):  
Thomas Brand ◽  
Volker Hohmann
Keyword(s):  
Adaptive Procedure ◽  
Loudness Scaling

scholarly journals An improved scaling procedure for analysis and simplification of process models

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

Using scaled FE solutions for an efficient coupled electromagnetic–thermal induction machine model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Martin Marco Nell ◽  
Benedikt Groschup ◽  
Kay Hameyer
Keyword(s):  
Finite Element ◽  
Thermal Behavior ◽  
Fe Simulation ◽  
Operation Mode ◽  
Induction Machine ◽  
Optimization Procedure ◽  
Machine Model ◽  
Content Type ◽  
Thermal Network ◽  
Scaling Procedure

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.

scholarly journals Extrapolation and interpolation by time-scaling in systems with diffusion-controlled kinetics and first-order reaction rates.

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
Keyword(s):  
Reaction Rates ◽  
Order Reaction ◽  
Management Tool ◽  
First Order ◽  
Physicochemical Processes ◽  
Time Scaling ◽  
Diffusion Controlled ◽  
Scaling Procedure ◽  
Exposure Variable ◽  
Scaling Rule

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)

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