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Palabras claves o descriptores: OPTIMIZATION (Comienzo)
2 registros cumplieron la condición especificada en la base de información BIBCYT. ()
Registro 1 de 2, Base de información BIBCYT
Publicación seriada
Referencias AnalíticasReferencias Analíticas
Autor: Loncaric, J. ; Ryaben'kii, V. S. ; Tsynkov, S. V.
Título: Active Shielding and Control of Noise
Páginas/Colación: pp. 597-626
Url: Ir a http://siamdl.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=SMJMAP000062000002000563000001&idtype=cvips&gifs=Yeshttp://siamdl.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=SMJMAP000062000002000563000001&idtype=cvips&gifs=Yes
SIAM Journal on Applied Mathematics Vol. 62, no. 2 Oct./Dec. 2001
Información de existenciaInformación de existencia

Palabras Claves: Palabras: ACTIVE SHIELDING ACTIVE SHIELDING, Palabras: BESSEL FUNCTIONS BESSEL FUNCTIONS, Palabras: EXACT VOLUMETRIC CANCELLATION EXACT VOLUMETRIC CANCELLATION, Palabras: GENERAL SOLUTION GENERAL SOLUTION, Palabras: GENERALIZED CALDERON'S POTENTIALS GENERALIZED CALDERON'S POTENTIALS, Palabras: INCOMING AND OUTGOING WAVES INCOMING AND OUTGOING WAVES, Palabras: MATERIAL DISCONTINUITIES MATERIAL DISCONTINUITIES, Palabras: NEAR SURFACE CONTROL SOURCES NEAR SURFACE CONTROL SOURCES, Palabras: NOISE CONTROL NOISE CONTROL, Palabras: OPTIMIZATION OPTIMIZATION, Palabras: SPATIAL ANISOTROPIES SPATIAL ANISOTROPIES, Palabras: THE HELMHOLTZ EQUATION THE HELMHOLTZ EQUATION, Palabras: TIME-HARMONIC ACOUSTIC FIELDS TIME-HARMONIC ACOUSTIC FIELDS

Resumen
RESUMEM

RESUMEM

We present a mathematical framework for the active control of time-harmonic acoustic disturbances. Unlike many existing methodologies, our approach provides for the exact volumetric cancellation of unwanted noise in a given predetermined region of space while leaving unaltered those components of the total acoustic field that are deemed friendly. Our key finding is that for eliminating the unwanted component of the acoustic field in a given area, one needs to know relatively little; in particular, neither the locations nor structure nor strength of the exterior noise sources need to be known. Likewise, there is no need to know the volumetric properties of the supporting medium across which the acoustic signals propagate, except, perhaps, in the narrow area of space near the boundary (perimeter) of the domain to be shielded. The controls are built based solely on the measurements performed on the perimeter of the region to be shielded; moreover, the controls themselves (i.e., additional sources) are also concentrated only near this perimeter. Perhaps as important, the measured quantities can refer to the total acoustic field rather than only to its unwanted component, and the methodology can automatically distinguish between the two.

In the paper, we construct a general solution to the aforementioned noise control problem. The apparatus used for deriving the general solution is closely connected to the concepts of generalized potentials and boundary projections of Calderon's type. For a given total wave field, the application of Calderon's projections allows us to definitively split its incoming and outgoing components with respect to a particular domain of interest, which may have arbitrary shape. Then the controls are designed so that they suppress the incoming component for the domain to be shielded or alternatively, the outgoing component for the domain, which is complementary to the one to be shielded. To demonstrate that the new noise control technique is appropriate, we thoroughly work out a two-dimensional model example that allows full analytical consideration.

To conclude, we very briefly discuss the numerical (finite-difference) framework for active noise control that has, in fact, already been worked out, as well as some forthcoming extensions of the current work: optimization of the solution according to different criteria that would fit different practical requirements, applicability of the new technique to quasi-stationary problems, and active shielding in the case of the broad-band spectra of disturbances. In the future, the aforementioned finite-difference framework for active noise control is going to be used for analyzing complex configurations that originate from practical designs.

 

Registro 2 de 2, Base de información BIBCYT
Publicación seriada
Referencias AnalíticasReferencias Analíticas
Autor: Bhattacharya, Bhaskar
Título: Optimal use of historical information
Páginas/Colación: pp. 4051-4063
Fecha: December 2009
Journal of Statistical Planning and Inference Vol. 139, no. 12 November 2009
Información de existenciaInformación de existencia

Idioma: Palabras: Inglés Inglés
Palabras Claves: Palabras: BAYESIAN BAYESIAN, Palabras: EFFICIENT RULES EFFICIENT RULES, Palabras: KULLBACK-LEIBLER DIVERGENCE KULLBACK-LEIBLER DIVERGENCE, Palabras: OPTIMIZATION OPTIMIZATION, Palabras: POSTERIOR POSTERIOR, Palabras: POWER PRIOR POWER PRIOR, Palabras: QUALITY-ADJUSTED RULE QUALITY-ADJUSTED RULE

Resumen
When historical data are available, incorporating them in an optimal way into the current data analysis can improve the quality of statistical inference. In Bayesian analysis, one can achieve this by using quality-adjusted priors of Zellner, or using power priors of Ibrahim and coauthors. These rules are constructed by raising the prior and/or the sample likelihood to some exponent values, which act as measures of compatibility of their quality or proximity of historical data to current data. This paper presents a general, optimum procedure that unifies these rules and is derived by minimizing a Kullback-Leibler divergence under a divergence constraint. We show that the exponent values are directly related to the divergence constraint set by the user and investigate the effect of this choice theoretically and also through sensitivity analysis. We show that this approach yields ‘100% efficient’ information processing rules in the sense of Zellner. Monte Carlo experiments are conducted to investigate the effect of historical and current sample sizes on the optimum rule. Finally, we illustrate these methods by applying them on real data sets.

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

UCLA - Biblioteca de Ciencias y Tecnologia Felix Morales Bueno

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