Effect of a Noise Wall on Snow Accumulation and Air Quality, 1985

A noise wall was investigated to assess its effect on snow accumulation and air quality. Wind tunnel studies were undertaken to evaluate (a) possible snow accumulations and (b) the dispersion of particulate concentrations (dust, smoke, and lead particles) and carbon monoxide. Full-scale monitoring of particulate concentrations and carbon monoxide was performed both before and after the noise wall was constructed. The wind tunnel experiments for snow accumulation were conducted on a model wall located in a flat, unobstructed area. A separated flow zone existed upwind of the wall and snow immediately began to accumulate over most of the separated zone. Having the noise wall in an aerodynamically rough area, such as in an urban area as this one was, substantially decreased the amount of snow collected, compared with in the wind tunnel studies, because of turbulence reducing the separation zone. The snow accumulation has not been significantly greater with the noise wall in place than it was before construction and has proven to be of no concern to date. Monitoring for particulate concentrations has shown that the noise wall has had a beneficial effect because the amount of material collected was reduced. With the noise wall in place, monitoring for carbon monoxide has indicated that (a) for equivalent emissions under conditions of high atmospheric stability and low wind speeds, the carbon monoxide levels would be lower; and (b) under conditions of low atmospheric stability and high wind speeds, the carbon monoxide levels would be higher than expected without the wall in place.

Early auditory processing

ABSTRACT (English)An accurate processing of the order between sensory events at the millisecond time scale is crucial for both sensori-motor and cognitive functions. Temporal order judgment (TOJ) tasks, is the ability of discriminating the order of presentation of several stimuli presented in a rapid succession. The aim of the present thesis is to further investigate the spatio-temporal brain mechanisms supporting TOJ. In three studies we focus on the dependency of TOJ accuracy on the brain states preceding the presentation of TOJ stimuli, the neural correlates of accurate vs. inaccurate TOJ and whether and how TOJ performance can be improved with training.In "Pre-stimulus beta oscillations within left posterior sylvian regions impact auditory temporal order judgment accuracy" (Bernasconi et al., 2011), we investigated if the brain activity immediately preceding the presentation of the stimuli modulates TOJ performance. By contrasting the electrophysiological activity before the stimulus presentation as a function of TOJ accuracy we observed a stronger pre-stimulus beta (20Hz) oscillatory activity within the left posterior sylvian region (PSR) before accurate than inaccurate TOJ trials.In "Interhemispheric coupling between the posterior sylvian regions impacts successful auditory temporal order judgment" (Bernasconi et al., 2010a), and "Plastic brain mechanisms for attaining auditory temporal order judgment proficiency" (Bernasconi et al., 2010b), we investigated the spatio-temporal brain dynamics underlying auditory TOJ. In both studies we observed a topographic modulation as a function of TOJ performance at ~40ms after the onset of the first sound, indicating the engagement of distinct configurations of intracranial generators. Source estimations in the first study revealed a bilateral PSR activity for both accurate and inaccurate TOJ trials. Moreover, activity within left, but not right, PSR correlated with TOJ performance. Source estimations in the second study revealed a training-induced left lateralization of the initial bilateral (i.e. PSR) brain response. Moreover, the activity within the left PSR region correlated with TOJ performance.Based on these results, we suggest that a "temporal stamp" is established within left PSR on the first sound within the pair at early stages (i.e. ~40ms) of cortical processes, but is critically modulated by inputs from right PSR (Bernasconi et al., 2010a; b). The "temporal stamp" on the first sound may be established via a sensory gating or prior entry mechanism.Behavioral and brain responses to identical stimuli can vary due to attention modulation, vary with experimental and task parameters or "internal noise". In a fourth experiment (Bernasconi et al., 2011b) we investigated where and when "neural noise" manifest during the stimulus processing. Contrasting the AEPs of identical sound perceived as High vs. Low pitch, a topographic modulation occurred at ca. 100ms after the onset of the sound. Source estimation revealed activity within regions compatible with pitch discrimination. Thus, we provided neurophysiological evidence for the variation in perception induced by "neural noise".ABSTRACT (French)Un traitement précis de l'ordre des événements sensoriels sur une échelle de temps de milliseconde est crucial pour les fonctions sensori-motrices et cognitives. Les tâches de jugement d'ordre temporel (JOT), consistant à présenter plusieurs stimuli en succession rapide, sont traditionnellement employées pour étudier les mécanismes neuronaux soutenant le traitement d'informations sensorielles qui varient rapidement. Le but de cette thèse est d'étudier le mécanisme cérébral soutenant JOT. Dans les trois études présentées nous nous sommes concentrés sur les états du cerveau précédant la présentation des stimuli de JOT, les bases neurales pour un JOT correct vs. incorrect et sur la possibilité et les moyens d'améliorer l'exécution du JOT grâce à un entraînement.Dans "Pre-stimulus beta oscillations within left posterior sylvian regions impact auditory temporal order judgment accuracy" (Bernasconi et al., 2011),, nous nous sommes intéressé à savoir si l'activité oscillatoire du cerveau au pré-stimulus modulait la performance du JOT. Nous avons contrasté l'activité électrophysiologique en fonction de la performance TOJ, mesurant une activité oscillatoire beta au pré-stimulus plus fort dans la région sylvian postérieure gauche (PSR) liée à un JOT correct.Dans "Interhemispheric coupling between the posterior sylvian regions impacts successful auditory temporal order judgment" (Bernasconi et al., 2010a), et "Plastic brain mechanisms for attaining auditory temporal order judgment proficiency" (Bernasconi et al., 2010b), nous avons étudié la dynamique spatio-temporelle dans le cerveau impliqué dans le traitement du JOT auditif. Dans ses deux études, nous avons observé une modulation topographique à ~40ms après le début du premier son, en fonction de la performance JOT, indiquant l'engagement des configurations de générateurs intra- crâniens distincts. La localisation de source dans la première étude indique une activité bilatérale de PSR pour des JOT corrects vs. incorrects. Par ailleurs, l'activité dans PSR gauche, mais pas dans le droit, est corrélée avec la performance du JOT. La localisation de source dans la deuxième étude indiquait une latéralisation gauche induite par l'entraînement d'une réponse initialement bilatérale du cerveau. D'ailleurs, l'activité dans la région PSR gauche corrèlait avec la performance de TOJ.Basé sur ces résultats, nous proposons qu'un « timbre-temporel » soit établi très tôt (c.-à-d. à ~40ms) sur le premier son par le PSR gauche, mais module par l'activité du PSR droite (Bernasconi et al., 2010a ; b). « Le timbre- temporel » sur le premier son peut être établi par le mécanisme neuronal de type « sensory gating » ou « prior entry ».Les réponses comportementales et du cerveau aux stimuli identiques peut varier du à des modulations d'attention ou à des variations dans les paramètres des tâches ou au bruit interne du cerveau. Dans une quatrième expérience (Bernasconi et al. 2011B), nous avons étudié où et quand le »bruit neuronal« se manifeste pendant le traitement des stimuli. En contrastant les AEPs de sons identiques perçus comme aigus vs. grave, nous avons mesuré une modulation topographique à env. 100ms après l'apparition du son. L'estimation de source a révélé une activité dans les régions compatibles avec la discrimination de fréquences. Ainsi, nous avons fourni des preuves neurophysiologiques de la variation de la perception induite par le «bruit neuronal».

On the thermal noise introduced by a resistor in a circuit

Comentari sobre l'article publicat anteriorment pels mateixos autors: Vargas, M; Pallás, R; The seemingly paradoxical noise behaviour some active circuits. IEEE Transactions on Instrumentation and Measurement. 1994, vol. 43, núm. 5, p. 764-767

Comments on "On resistor-induced thermal noise in linear circuits"

Correspondència referida a l'article de R. Giannetti, publicat ibid. vol.49 p.87-88

SAR Interferometric phase noise reduction using wavelet transform

The problem of synthetic aperture radar interferometric phase noise reduction is addressed. A new technique based on discrete wavelet transforms is presented. This technique guarantees high resolution phase estimation without using phase image segmentation. Areas containing only noise are hardly processed. Tests with synthetic and real interferograms are reported.

Power supply noise and logic error probability

Voltage fluctuations caused by parasitic impedances in the power supply rails of modern ICs are a major concern in nowadays ICs. The voltage fluctuations are spread out to the diverse nodes of the internal sections causing two effects: a degradation of performances mainly impacting gate delays anda noisy contamination of the quiescent levels of the logic that drives the node. Both effects are presented together, in thispaper, showing than both are a cause of errors in modern and future digital circuits. The paper groups both error mechanismsand shows how the global error rate is related with the voltage deviation and the period of the clock of the digital system.

Error probability in synchronous digital circuits due to power supply noise

This paper presents a probabilistic approach to model the problem of power supply voltage fluctuations. Error probability calculations are shown for some 90-nm technology digital circuits.The analysis here considered gives the timing violation error probability as a new design quality factor in front of conventional techniques that assume the full perfection of the circuit. The evaluation of the error bound can be useful for new design paradigms where retry and self-recoveringtechniques are being applied to the design of high performance processors. The method here described allows to evaluate the performance of these techniques by means of calculating the expected error probability in terms of power supply distribution quality.

Three-Dimensional (3D) Microarchitecture Correlations with 2D Projection Image Gray-Level Variations Assessed by Trabecular Bone Score Using High-Resolution Computed Tomographic Acquisitions: Effects of Resolution and Noise.

The aim of the present study is to determine the level of correlation between the 3-dimensional (3D) characteristics of trabecular bone microarchitecture, as evaluated using microcomputed tomography (μCT) reconstruction, and trabecular bone score (TBS), as evaluated using 2D projection images directly derived from 3D μCT reconstruction (TBSμCT). Moreover, we have evaluated the effects of image degradation (resolution and noise) and X-ray energy of projection on these correlations. Thirty human cadaveric vertebrae were acquired on a microscanner at an isotropic resolution of 93μm. The 3D microarchitecture parameters were obtained using MicroView (GE Healthcare, Wauwatosa, MI). The 2D projections of these 3D models were generated using the Beer-Lambert law at different X-ray energies. Degradation of image resolution was simulated (from 93 to 1488μm). Relationships between 3D microarchitecture parameters and TBSμCT at different resolutions were evaluated using linear regression analysis. Significant correlations were observed between TBSμCT and 3D microarchitecture parameters, regardless of the resolution. Correlations were detected that were strongly to intermediately positive for connectivity density (0.711≤r(2)≤0.752) and trabecular number (0.584≤r(2)≤0.648) and negative for trabecular space (-0.407 ≤r(2)≤-0.491), up to a pixel size of 1023μm. In addition, TBSμCT values were strongly correlated between each other (0.77≤r(2)≤0.96). Study results show that the correlations between TBSμCT at 93μm and 3D microarchitecture parameters are weakly impacted by the degradation of image resolution and the presence of noise.

Langevin equations with multiplicative noise: Application to domain growth

Langevin Equations of Ginzburg-Landau form, with multiplicative noise, are proposed to study the effects of fluctuations in domain growth. These equations are derived from a coarse-grained methodology. The Cahn-Hiliard-Cook linear stability analysis predicts some effects in the transitory regime. We also derive numerical algorithms for the computer simulation of these equations. The numerical results corroborate the analytical predictions of the linear analysis. We also present simulation results for spinodal decomposition at large times.

Readout schemes for low noise single-photon avalanche diodes fabricated in conventional HV-CMOS technologies

Three different pixels based on single-photon avalanche diodes for triggered applications, such as fluorescence lifetime measurements and high energy physics experiments, are presented. Each pixel consists of a 20µm x 100µm (width x length) single photon avalanche diode and a monolithically integrated readout circuit. The sensors are operated in the gated mode of acquisition to reduce the probability to detect noise counts interferring with real radiation events. Each pixel includes a different readout circuit that allows to use low reverse bias overvoltages. Experimental results demonstrate that the three pixels present a similar behaviour. The pixels get rid of afterpulses and present a reduced dark count probability by applying the gated operation. Noise figures are further improved by using low reverse bias overvoltages. The detectors exhibit an input dynamic range of 13.35 bits with short gated"on" periods of 10ns and a reverse bias overvoltage of 0.5V. The three pixels have been fabricated in a standard HV-CMOS process.

Tolerance and Relative Utility: Two Proposed Indices for Comparing Change in Clinical Measurement Noise Between Different Populations (Repeatability) or Measurement Methods (Agreement).

Reaching a consensus in terms of interchangeability and utility (i.e., disease detection/monitoring) of a medical device is the eventual aim of repeatability and agreement studies. The aim of the tolerance and relative utility indices described in this report is to provide a methodology to compare change in clinical measurement noise between different populations (repeatability) or measurement methods (agreement), so as to highlight problematic areas. No longitudinal data are required to calculate these indices. Both indices establish a metric of least to most effected across all parameters to facilitate comparison. If validated, these indices may prove useful tools when combining reports and forming the consensus required in the validation process for software updates and new medical devices.

Improving Pitch Tracking Performance in Hard Noise Conditions by a Preprocessing Based on Mathematical Morphology

In this paper we show how a nonlinear preprocessing of speech signal -with high noise- based on morphological filters improves the performance of robust algorithms for pitch tracking (RAPT). This result happens for a very simple morphological filter. More sophisticated ones could even improve such results. Mathematical morphology is widely used in image processing and has a great amount of applications. Almost all its formulations derived in the two-dimensional framework are easily reformulated to be adapted to one-dimensional context

Asymmetric stochastic switching driven by intrinsic molecular noise

Low-copy-number molecules are involved in many functions in cells. The intrinsic fluctuations of these numbers can enable stochastic switching between multiple steady states, inducing phenotypic variability. Herein we present a theoretical and computational study based on Master Equations and Fokker-Planck and Langevin descriptions of stochastic switching for a genetic circuit of autoactivation. We show that in this circuit the intrinsic fluctuations arising from low-copy numbers, which are inherently state-dependent, drive asymmetric switching. These theoretical results are consistent with experimental data that have been reported for the bistable system of the gallactose signaling network in yeast. Our study unravels that intrinsic fluctuations, while not required to describe bistability, are fundamental to understand stochastic switching and the dynamical relative stability of multiple states.

Physiological noise in human cerebellar fMRI.

OBJECTIVES: To compare physiological noise contributions in cerebellar and cerebral regions of interest in high-resolution functional magnetic resonance imaging (fMRI) data acquired at 7T, to estimate the need for physiological noise removal in cerebellar fMRI. MATERIALS AND METHODS: Signal fluctuations in high resolution (1 mm isotropic) 7T fMRI data were attributed to one of the following categories: task-induced BOLD changes, slow drift, signal changes correlated with the cardiac and respiratory cycles, signal changes related to the cardiac rate and respiratory volume per unit of time or other. [Formula: see text] values for all categories were compared across regions of interest. RESULTS: In this high-resolution data, signal fluctuations related to the phase of the cardiac cycle and cardiac rate were shown to be significant, but comparable between cerebellar and cerebral regions of interest. However, respiratory related signal fluctuations were increased in the cerebellar regions, with explained variances that were up to 80 % higher than for the primary motor cortex region. CONCLUSION: Even at a millimetre spatial resolution, significant correlations with both cardiac and respiratory RETROICOR components were found in all healthy volunteer data. Therefore, physiological noise correction is highly likely to improve the temporal signal-to-noise ratio (SNR) for cerebellar fMRI at 7T, even at high spatial resolution.

A comprehensive model for quantum noise characterization in digital mammography.

NlmCategory="UNASSIGNED">A version of cascaded systems analysis was developed specifically with the aim of studying quantum noise propagation in x-ray detectors. Signal and quantum noise propagation was then modelled in four types of x-ray detectors used for digital mammography: four flat panel systems, one computed radiography and one slot-scan silicon wafer based photon counting device. As required inputs to the model, the two dimensional (2D) modulation transfer function (MTF), noise power spectra (NPS) and detective quantum efficiency (DQE) were measured for six mammography systems that utilized these different detectors. A new method to reconstruct anisotropic 2D presampling MTF matrices from 1D radial MTFs measured along different angular directions across the detector is described; an image of a sharp, circular disc was used for this purpose. The effective pixel fill factor for the FP systems was determined from the axial 1D presampling MTFs measured with a square sharp edge along the two orthogonal directions of the pixel lattice. Expectation MTFs were then calculated by averaging the radial MTFs over all possible phases and the 2D EMTF formed with the same reconstruction technique used for the 2D presampling MTF. The quantum NPS was then established by noise decomposition from homogenous images acquired as a function of detector air kerma. This was further decomposed into the correlated and uncorrelated quantum components by fitting the radially averaged quantum NPS with the radially averaged EMTF(2). This whole procedure allowed a detailed analysis of the influence of aliasing, signal and noise decorrelation, x-ray capture efficiency and global secondary gain on NPS and detector DQE. The influence of noise statistics, pixel fill factor and additional electronic and fixed pattern noises on the DQE was also studied. The 2D cascaded model and decompositions performed on the acquired images also enlightened the observed quantum NPS and DQE anisotropy.