Aviation noise, let's get on with the job : [remarks by the Honorable Russell E. Train, administrator, U.S. Environmental Protection Agency, prepared by delivery before the Inter-noise '76 Conference at the Shoreham Hotel, Washington, D.C., Monday, April 5, 1976.]

Mode of access: Internet.

Federal research, development, and demonstration programs in surface transportation noise /

Issued Feb. 1978.

Noise abatement technology options for conventional turboprop airplanes /

Mode of access: Internet.

Economic impact of proposed airport noise regulations, R77-4. Volume II : economic analysis of public airports outside Chicago /

Project no. : 30.017.

Users manual, TSC highway noise prediction code, MOD-04 /

Mode of access: Internet.

Spatial contrast sensitivity and external noise: applications to optical and neural modulation transfer functions

The thesis will show how to equalise the effect of quantal noise across spatial frequencies by keeping the retinal flux (If-2) constant. In addition, quantal noise is used to study the effect of grating area and spatial frequency on contrast sensitivity resulting in the extension of the new contrast detection model describing the human contrast detection system as a simple image processor. According to the model the human contrast detection system comprises low-pass filtering due to ocular optics, addition of light dependent noise at the event of quantal absorption, high-pass filtering due to the neural visual pathways, addition of internal neural noise, after which detection takes place by a local matched filter, whose sampling efficiency decreases as grating area is increased. Furthermore, this work will demonstrate how to extract both the optical and neural modulation transfer functions of the human eye. The neural transfer function is found to be proportional to spatial frequency up to the local cut-off frequency at eccentricities of 0 - 37 deg across the visual field. The optical transfer function of the human eye is proposed to be more affected by the Stiles-Crawford -effect than generally assumed in the literature. Similarly, this work questions the prevailing ideas about the factors limiting peripheral vision by showing that peripheral optical acts as a low-pass filter in normal viewing conditions, and therefore the effect of peripheral optics is worse than generally assumed.

A Bayesian perspective on stochastic neurocontrol

Control design for stochastic uncertain nonlinear systems is traditionally based on minimizing the expected value of a suitably chosen loss function. Moreover, most control methods usually assume the certainty equivalence principle to simplify the problem and make it computationally tractable. We offer an improved probabilistic framework which is not constrained by these previous assumptions, and provides a more natural framework for incorporating and dealing with uncertainty. The focus of this paper is on developing this framework to obtain an optimal control law strategy using a fully probabilistic approach for information extraction from process data, which does not require detailed knowledge of system dynamics. Moreover, the proposed control method framework allows handling the problem of input-dependent noise. A basic paradigm is proposed and the resulting algorithm is discussed. The proposed probabilistic control method is for the general nonlinear class of discrete-time systems. It is demonstrated theoretically on the affine class. A nonlinear simulation example is also provided to validate theoretical development.

A comparison of denoising methods for X-ray fluoroscopic images

Fluoroscopic images exhibit severe signal-dependent quantum noise, due to the reduced X-ray dose involved in image formation, that is generally modelled as Poisson-distributed. However, image gray-level transformations, commonly applied by fluoroscopic device to enhance contrast, modify the noise statistics and the relationship between image noise variance and expected pixel intensity. Image denoising is essential to improve quality of fluoroscopic images and their clinical information content. Simple average filters are commonly employed in real-time processing, but they tend to blur edges and details. An extensive comparison of advanced denoising algorithms specifically designed for both signal-dependent noise (AAS, BM3Dc, HHM, TLS) and independent additive noise (AV, BM3D, K-SVD) was presented. Simulated test images degraded by various levels of Poisson quantum noise and real clinical fluoroscopic images were considered. Typical gray-level transformations (e.g. white compression) were also applied in order to evaluate their effect on the denoising algorithms. Performances of the algorithms were evaluated in terms of peak-signal-to-noise ratio (PSNR), signal-to-noise ratio (SNR), mean square error (MSE), structural similarity index (SSIM) and computational time. On average, the filters designed for signal-dependent noise provided better image restorations than those assuming additive white Gaussian noise (AWGN). Collaborative denoising strategy was found to be the most effective in denoising of both simulated and real data, also in the presence of image gray-level transformations. White compression, by inherently reducing the greater noise variance of brighter pixels, appeared to support denoising algorithms in performing more effectively. © 2012 Elsevier Ltd. All rights reserved.

Fixed vs. variable noise in 2AFC contrast discrimination: lessons from psychometric functions.

Recent discussion regarding whether the noise that limits 2AFC discrimination performance is fixed or variable has focused either on describing experimental methods that presumably dissociate the effects of response mean and variance or on reanalyzing a published data set with the aim of determining how to solve the question through goodness-of-fit statistics. This paper illustrates that the question cannot be solved by fitting models to data and assessing goodness-of-fit because data on detection and discrimination performance can be indistinguishably fitted by models that assume either type of noise when each is coupled with a convenient form for the transducer function. Thus, success or failure at fitting a transducer model merely illustrates the capability (or lack thereof) of some particular combination of transducer function and variance function to account for the data, but it cannot disclose the nature of the noise. We also comment on some of the issues that have been raised in recent exchange on the topic, namely, the existence of additional constraints for the models, the presence of asymmetric asymptotes, the likelihood of history-dependent noise, and the potential of certain experimental methods to dissociate the effects of response mean and variance.

Recognition of noisy images by PLL networks

We use networks composed of three phase-locked loops (PLLs), where one of them is the master, for recognizing noisy images. The values of the coupling weights among the PLLs control the noise level which does not affect the successful identification of the input image. Analytical results and numerical tests are presented concerning the scheme performance. (c) 2008 Elsevier B.V. All rights reserved.

Quantum theory of the far-off-resonance continuous-wave Raman laser: Heisenberg-Langevin approach

We present the quantum theory of the far-off-resonance continuous-wave Raman laser using the Heisenberg-Langevin approach. We show that the simplified quantum Langevin equations for this system are mathematically identical to those of the nondegenerate optical parametric oscillator in the time domain with the following associations: pump pump, Stokes signal, and Raman coherence idler. We derive analytical results for both the steady-state behavior and the time-dependent noise spectra, using standard linearization procedures. In the semiclassical limit, these results match with previous purely semiclassical treatments, which yield excellent agreement with experimental observations. The analytical time-dependent results predict perfect photon statistics conversion from the pump to the Stokes and nonclassical behavior under certain operational conditions.

Convex Total Variation Denoising of Poisson Fluorescence Confocal Images With Anisotropic Filtering

Fluorescence confocal microscopy (FCM) is now one of the most important tools in biomedicine research. In fact, it makes it possible to accurately study the dynamic processes occurring inside the cell and its nucleus by following the motion of fluorescent molecules over time. Due to the small amount of acquired radiation and the huge optical and electronics amplification, the FCM images are usually corrupted by a severe type of Poisson noise. This noise may be even more damaging when very low intensity incident radiation is used to avoid phototoxicity. In this paper, a Bayesian algorithm is proposed to remove the Poisson intensity dependent noise corrupting the FCM image sequences. The observations are organized in a 3-D tensor where each plane is one of the images acquired along the time of a cell nucleus using the fluorescence loss in photobleaching (FLIP) technique. The method removes simultaneously the noise by considering different spatial and temporal correlations. This is accomplished by using an anisotropic 3-D filter that may be separately tuned in space and in time dimensions. Tests using synthetic and real data are described and presented to illustrate the application of the algorithm. A comparison with several state-of-the-art algorithms is also presented.

Growth of unstable interfaces in disordered media

The effects of a disordered medium in the growth of unstable interfaces are studied by means of two local models with multiplicative and additive quenched disorder, respectively. For short times and large pushing the multiplicative quenched disorder is equivalent to a time-dependent noise. In this regime, the linear dispersion relation contains a destabilizing contribution introduced by the noise. For long times, the interface always gets pinned. We model the systematics of the pinned shapes by means of an effective nonlinear model. These results show good agreement with numerical simulations. For the additive noise we find numerically that a depinning transition occurs.

Fatores associados ao controle metabólico em pacientes com diabetes melito tipo 2 não usuários de insulina

Introdução: a obtenção de um bom controle metabólico é essencial para a prevenção das complicações crônicas do Diabetes Melito (DM). O tratamento é complexo e depende da implementação efetiva das diferentes estratégias terapêuticas disponíveis. Para que isso seja possível, é necessário que o paciente entenda os princípios terapêuticos e consiga executá-los. A precária educação em diabetes é percebida como um dos obstáculos para o alcance das metas terapêuticas. Objetivo: analisar, os fatores associados ao controle metabólico, em pacientes com DM tipo 2 (DM2) não usuários de insulina. Métodos: foi realizado um estudo transversal em pacientes com DM2 não usuários de insulina, selecionados ao acaso entre aqueles que consultavam nos ambulatórios de Medicina Interna, Endocrinologia e Enfermagem do Hospital de Clínicas de Porto Alegre. Os pacientes foram submetidos à avaliação clínica, laboratorial e responderam um questionário que incluía o tipo de tratamento realizado para DM, outros medicamentos e co-morbidades, pesquisa de complicações em ano prévio e avaliação do conhecimento sobre DM. Os pacientes foram classificados em dois grupos, com bom ou mau controle glicêmico, de acordo com o valor da glico-hemoglobina de 1 ponto % acima do limite superior do método utilizado. As comparações entre variáveis contínuas, com distribuição normal, foram analisadas pelo teste t de Student para amostras não-pareadas e para as variáveis de distribuição assimétrica ou com variância heterogênea o teste U de Mann-Whitney. A comparação entre percentagem foi feita pelo teste de qui-quadrado ou exato de Fisher. Foi realizada uma análise logística múltipla para identificar os fatores mais relevantes associados ao controle metabólico (variável dependente). As variáveis independentes com um nível de significância de P < 0,1 na análise bivariada, foram incluídas no modelo. Resultados: foram avaliados 143 pacientes com DM2, idade de 59,3 ± 10,1 anos, duração conhecida do DM 7,5 ± 6,3 anos, índice de massa corporal (IMC) de 29,7 ± 5,2 kg/m².Destes, 94 pacientes (65,73%) apresentavam bom controle glicêmico. Os pacientes com mau controle glicêmico usavam mais anti-hiperglicemiantes orais como monoterapia (OR = 9,37; IC = 2,60-33,81; P=0,004) ou associados (OR = 31,08; IC = 7,42-130,15; P < 0,001). Da mesma maneira, não fizeram dieta em dias de festa (OR = 3,29; IC = 1,51-7,16; P = 0,012). A inclusão do conhecimento sobre diabetes não foi diferente entre os pacientes com bom ou mau controle glicêmico (OR = 1,08; IC = 0,97 - 1,21; P = 0,219). A análise multivariada demonstrou que a consulta com a enfermeira educadora (OR = 0,24; IC = 0,108-0,534; P = 0,003), com o endocrinologista (OR = 0,15 ; IC = 0,063-0,373; P = 0,001) e o uso de hipolipemiantes (OR = 0,10; IC = 0,016 - 0,72; P = 0,054) foram associados ao bom controle glicêmico, ajustados para a não realização de dieta em festas, uso de anti-hiperglicemiantes orais e conhecimento sobre diabetes. Conclusão: o controle metabólico em pacientes DM2 é influenciado pelas atividades de educação com enfermeira e endocrinologista. O tratamento do DM2 deve incluir atividades de educação de forma sistemática.

Desenvolvimento de uma metodologia para elaboração de modelos de predição dos níveis de ruído do campo acústico de usinas hidrelétricas

Pós-graduação em Engenharia Mecânica - FEIS