987 resultados para Conformal invariance


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Selbstbestimmung und -gestaltung des eigenen Alltages gewinnen immer mehr an Bedeutung, insbesondere für ältere Mitmenschen in ländlichen Regionen, die auf ärztliche Versorgung angewiesen sind. Die Schaffung sogenannter smart personal environments mittels einer Vielzahl von, nahezu unsichtbar installierten Sensoren im gewohnten Lebensraum liefert dem Anwender (lebens-) notwendige Informationen über seine Umgebung oder seinen eigenen Körper. Dabei gilt es nicht den Anwender mit technischen Daten, wie Spektren, zu überfordern. Vielmehr sollte die Handhabung so einfach wie möglich gestaltet werden und die ausgewertete Information als Indikationsmittel zum weiteren Handeln dienen. Die Anforderungen an moderne Technologien sind folglich eine starke Miniaturisierung, zur optimalen Integration und Mobilität, bei gleichzeitig hoher Auflösung und Stabilität. Die Zielsetzung der vorliegenden Arbeit ist die Miniaturisierung eines spektroskopischen Systems bei gleichzeitig hohem Auflösungsvermögen für die Detektion im sichtbaren Spektralbereich. Eine Möglichkeit für die Herstellung eines konkurrenzfähigen „Mini-„ oder „Mikrospektrometers“ basiert auf Fabry-Pérot (FP) Filtersystemen, da hierbei die Miniaturisierung nicht wie üblich auf Gittersysteme limitiert ist. Der maßgebliche Faktor für das spektrale Auflösungsvermögen des Spektrometers ist die vertikale Präzision und Homogenität der einzelnen 3D Filterkavitäten, die die unterschiedlichen Transmissionswellenlängen der einzelnen Filter festlegen. Die wirtschaftliche Konkurrenzfähigkeit des am INA entwickelten Nanospektremeters wurde durch die maximale Reduzierung der Prozessschritte, nämlich auf einen einzigen Schritt, erreicht. Erstmalig wird eine neuartige Nanoimprint Technologie, die sog. Substrate Conformal Imprint Lithography, für die Herstellung von wellenlängen-selektierenden Filterkavitäten von stark miniaturisierten Spektrometern eingesetzt. Im Zuge dieser Arbeit wird das Design des FP Filtersystems entwickelt und technologisch mittels Dünnschichtdeposition und der Nanoimprinttechnologie realisiert. Ein besonderer Schwerpunkt liegt hierbei in der Untersuchung des Prägematerials, dessen optische Eigenschaften maßgeblich über die Performance des Filtersystems entscheiden. Mit Hilfe eines speziell gefertigten Mikroskopspektrometers werden die gefertigten Filterfelder hinsichtlich ihrer Transmissionseigenschaften und ihres Auflösungsvermögens hin untersucht. Im Hinblick auf publizierte Arbeiten konkurrierender Arbeitsgruppen konnte eine deutliche Verbesserung des miniaturisierten Spektrometers erreicht werden. Die Minimierung der Prozessschritte auf einen einzigen Prägeschritt sorgt gleichzeitig für eine schnelle und zuverlässige Replikation der wellenlängenselektierenden Filterkavitäten. Im Rahmen dieser Arbeit wurde aufgezeigt, dass das angestrebte Nanospektrometer, trotz der sehr geringen Größe, eine hohe Auflösung liefern kann und gerade wegen der starken Miniaturisierung mit kommerziellen Mini- und Mikro-spektrometern konkurrenzfähig ist.

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The HMAX model has recently been proposed by Riesenhuber & Poggio as a hierarchical model of position- and size-invariant object recognition in visual cortex. It has also turned out to model successfully a number of other properties of the ventral visual stream (the visual pathway thought to be crucial for object recognition in cortex), and particularly of (view-tuned) neurons in macaque inferotemporal cortex, the brain area at the top of the ventral stream. The original modeling study only used ``paperclip'' stimuli, as in the corresponding physiology experiment, and did not explore systematically how model units' invariance properties depended on model parameters. In this study, we aimed at a deeper understanding of the inner workings of HMAX and its performance for various parameter settings and ``natural'' stimulus classes. We examined HMAX responses for different stimulus sizes and positions systematically and found a dependence of model units' responses on stimulus position for which a quantitative description is offered. Interestingly, we find that scale invariance properties of hierarchical neural models are not independent of stimulus class, as opposed to translation invariance, even though both are affine transformations within the image plane.

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Human object recognition is generally considered to tolerate changes of the stimulus position in the visual field. A number of recent studies, however, have cast doubt on the completeness of translation invariance. In a new series of experiments we tried to investigate whether positional specificity of short-term memory is a general property of visual perception. We tested same/different discrimination of computer graphics models that were displayed at the same or at different locations of the visual field, and found complete translation invariance, regardless of the similarity of the animals and irrespective of direction and size of the displacement (Exp. 1 and 2). Decisions were strongly biased towards same decisions if stimuli appeared at a constant location, while after translation subjects displayed a tendency towards different decisions. Even if the spatial order of animal limbs was randomized ("scrambled animals"), no deteriorating effect of shifts in the field of view could be detected (Exp. 3). However, if the influence of single features was reduced (Exp. 4 and 5) small but significant effects of translation could be obtained. Under conditions that do not reveal an influence of translation, rotation in depth strongly interferes with recognition (Exp. 6). Changes of stimulus size did not reduce performance (Exp. 7). Tolerance to these object transformations seems to rely on different brain mechanisms, with translation and scale invariance being achieved in principle, while rotation invariance is not.

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We survey observations of the radial magnetic field in the heliosphere as a function of position, sunspot number, and sunspot cycle phase. We show that most of the differences between pairs of simultaneous observations, normalized using the square of the heliocentric distance and averaged over solar rotations, are consistent with the kinematic "flux excess" effect whereby the radial component of the frozen-in heliospheric field is increased by longitudinal solar wind speed structure. In particular, the survey shows that, as expected, the flux excess effect at high latitudes is almost completely absent during sunspot minimum but is almost the same as within the streamer belt at sunspot maximum. We study the uncertainty inherent in the use of the Ulysses result that the radial field is independent of heliographic latitude in the computation of the total open solar flux: we show that after the kinematic correction for the excess flux effect has been made it causes errors that are smaller than 4.5%, with a most likely value of 2.5%. The importance of this result for understanding temporal evolution of the open solar flux is reviewed.

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The single scattering albedo w_0l in atmospheric radiative transfer is the ratio of the scattering coefficient to the extinction coefficient. For cloud water droplets both the scattering and absorption coefficients, thus the single scattering albedo, are functions of wavelength l and droplet size r. This note shows that for water droplets at weakly absorbing wavelengths, the ratio w_0l(r)/w_0l(r0) of two single scattering albedo spectra is a linear function of w_0l(r). The slope and intercept of the linear function are wavelength independent and sum to unity. This relationship allows for a representation of any single scattering albedo spectrum w_0l(r) via one known spectrum w_0l(r0). We provide a simple physical explanation of the discovered relationship. Similar linear relationships were found for the single scattering albedo spectra of non-spherical ice crystals.

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Details are given of a boundary-fitted mesh generation method for use in modelling free surface flow and water quality. A numerical method has been developed for generating conformal meshes for curvilinear polygonal and multiply-connected regions. The method is based on the Cauchy-Riemann conditions for the analytic function and is able to map a curvilinear polygonal region directly onto a regular polygonal region, with horizontal and vertical sides. A set of equations have been derived for determining the lengths of these sides and the least-squares method has been used in solving the equations. Several numerical examples are presented to illustrate the method.

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Details are given of the development and application of a 2D depth-integrated, conformal boundary-fitted, curvilinear model for predicting the depth-mean velocity field and the spatial concentration distribution in estuarine and coastal waters. A numerical method for conformal mesh generation, based on a boundary integral equation formulation, has been developed. By this method a general polygonal region with curved edges can be mapped onto a regular polygonal region with the same number of horizontal and vertical straight edges and a multiply connected region can be mapped onto a regular region with the same connectivity. A stretching transformation on the conformally generated mesh has also been used to provide greater detail where it is needed close to the coast, with larger mesh sizes further offshore, thereby minimizing the computing effort whilst maximizing accuracy. The curvilinear hydrodynamic and solute model has been developed based on a robust rectilinear model. The hydrodynamic equations are approximated using the ADI finite difference scheme with a staggered grid and the solute transport equation is approximated using a modified QUICK scheme. Three numerical examples have been chosen to test the curvilinear model, with an emphasis placed on complex practical applications

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A representation of the conformal mapping g of the interior or exterior of the unit circle onto a simply-connected domain Ω as a boundary integral in terms ofƒ|∂Ω is obtained, whereƒ :=g -l. A product integration scheme for the approximation of the boundary integral is described and analysed. An ill-conditioning problem related to the domain geometry is discussed. Numerical examples confirm the conclusions of this discussion and support the analysis of the quadrature scheme.

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In this paper, we consider an initial value problem for a class of generalized ODEs, also known as Kurzweil equations, and we prove the existence of a local semidynamical system there. Under certain perturbation conditions, we also show that this class of generalized ODEs admits a discontinuous semiflow which we shall refer to as an impulsive semidynamical system. As a consequence, we obtain LaSalle`s invariance principle for such a class of generalized ODEs. Due to the importance of LaSalle`s invariance principle in studying stability of differential systems, we include an application to autonomous ordinary differential systems with impulse action at variable times. (C) 2011 Elsevier Inc. All rights reserved.