Browsing by Subject "Differentiation (calculus)"

Now showing 1 - 4 of 4

Open Access
Automated web services composition with the event calculus
(Springer, 2007-10) Aydın, Onur; Kesim-Çiçekli, Nihan; Çiçekli, İlyas
As the web services proliferate and complicate it is becoming an overwhelming job to manually prepare the web service compositions which describe the communication and integration between web services. This paper analyzes the usage of the Event Calculus, which is one of the logical action-effect definition languages, for the automated preparation and execution of web service compositions. In this context, abductive planning capabilities of the Event Calculus are utilized. It is shown that composite process definitions in OWL-S can be translated into Event Calculus axioms so that planning with generic process definitions is possible within this framework. © 2008 Springer-Verlag Berlin Heidelberg.
Open Access
Numerical modeling of electromagnetic scattering by perfectly conducting surfaces of revolution
(IEEE, 2008-06-07) Nechitaylo, S.; Sukharevsky, I.; Altıntaş, Ayhan; Sukharevsky, O.
The integro-differential equation (IDE) of a three-dimensional (3-D) electromagnetic excitation problem of unclosed surfaces is numerically treated by means of the novel direct solver. © 2008 IEEE.
Open Access
Parameter identification for partially observed diffusions
(Kluwer Academic Publishers-Plenum Publishers, 1992) Dabbous, T.E.; Ahmed, N.U.
In this paper, we consider the identification problem of drift and dispersion parameters for a class of partially observed systems governed by Ito equations. Using the pathwise description of the Zakai equation, we formulate the original identification problem as a deterministic control problem in which the unnormalized conditional density (solution of the Zakai equation) is treated as the state, the unknown parameters as controls, and the likelihood ratio as the objective functional. The question of existence of elements in the parameter set that maximize the likelihood ratio is discussed. Further, using variational arguments and the Gateaux differentiability of the unnormalized density on the parameter set, we obtain the necessary conditions for optimal identification. © 1992 Plenum Publishing Corporation.
Open Access
Target differentiation and localization using infrared sensors
(SPIE, 2003-08) Aytaç, Tayfun; Barshan, Billur
We discuss the use of low-cost infrared sensors in differentiating and localizing commonly encountered target primitives in indoor environments, such as planes, corners, edges, and cylinders. Single intensity readings are highly dependent on target location and properties and this dependence cannot be represented simply. We propose a method that can achieve position-invariant target differentiation without relying on absolute intensity readings and verify it experimentally. The correct identification rates for planes, 90° corners and edges, and cylinders are 90%, 100%, 82.5%, and 92.5%, respectively. The distance of the target can be estimated with an average error of 0.59 cm and the azimuth angle can be estimated with an error of 1.58°.