International Telemetering Conference Proceedings / October 20-23, 2003 / Riviera Hotel and Convention Center, Las Vegas, Nevada / Calculating the power spectral density (PSD) at the transducer or data acquisition system offers advantages in a network-based telemetry system. The PSD is provided in real time to the users. The conversion to PSD can either be lossless (allowing a complete reconstruction of the transducer signal) or lossy (providing data compression). Post-processing can convert the PSD back to time histories if desired. A complete reconstruction of the signal is possible, including knowledge of the signal level between the sample periods. Properly implemented, this method of data collection provides a sharp anti-aliasing filter with minimal added cost. Currently no standards exist for generating PSDs on the vehicle. New standards could help telemetry system designers understand the benefits and limitations calculating the power spectral density in a network-based telemetry system.

Mining operations can produce highly localized, low intensity earthquakes that are referred to as microseismic events. Monitoring of microseismic events is useful in predicting and comprehending hazards, and in evaluating the overall performance of a mine design. <p>A robust localization algorithm is used to estimate the source position of the microseismic event by selecting the hypothesized source location that maximizes an energy function generated from the sum of the time--aligned sensor signals. The accuracy of localization for the algorithm characterized by the variance depends in part upon the configuration of sensors. Two algorithms, MAXSRC and MINMAX, are presented that use the variance of localization error, in a particular direction, as a performance measure for a given sensor configuration.<p>The variance of localization error depends, in part, upon the energy spectral density of the microseismic event. The energy spectral density characterization of sensor signals received in two potash mines are presented and compared using two spectral estimation techniques: multitaper estimation and combined time and lag weighting. It is shown that the difference between the the two estimation techniques is negligible. However, the differences between the two mine characterizations, though not large, is significant. An example uses the characterized energy spectral densities to determine the variance of error for a single step localization algorithm.<p>The MAXSRC and MINMAX algorithms are explained. The MAXSRC sensor placement algorithm places a sensor as close as possible to the source position with the maximum variance. The MINMAX sensor placement algorithm minimizes the variance of the source position with the maximum variance after the sensor has been placed. The MAXSRC algorithm is simple and can be solved using an exhaustive search while the MINMAX algorithm uses a genetic algorithm to find a solution. These algorithms are then used in three examples, two of which are simple and synthetic. The other example is from Lanigan Potash Mine. The results show that both sensor placement algorithms produce similar results, with the MINMAX algorithm consistently doing better. The MAXSRC algorithm places a single sensor approximately 100 times faster than the MINMAX algorithm. The example shows that the MAXSRC algorithm has the potential to be an efficient and intuitively simple sensor placement algorithm for mine microseismic event monitoring. The MINMAX algorithm provides, at an increase in computational time, a more robust placement criterion which can be solved adequately using a genetic algorithm.

Mining operations can produce highly localized, low intensity earthquakes that are referred to as microseismic events. Monitoring of microseismic events is useful in predicting and comprehending hazards, and in evaluating the overall performance of a mine design. <p>A robust localization algorithm is used to estimate the source position of the microseismic event by selecting the hypothesized source location that maximizes an energy function generated from the sum of the time--aligned sensor signals. The accuracy of localization for the algorithm characterized by the variance depends in part upon the configuration of sensors. Two algorithms, MAXSRC and MINMAX, are presented that use the variance of localization error, in a particular direction, as a performance measure for a given sensor configuration.<p>The variance of localization error depends, in part, upon the energy spectral density of the microseismic event. The energy spectral density characterization of sensor signals received in two potash mines are presented and compared using two spectral estimation techniques: multitaper estimation and combined time and lag weighting. It is shown that the difference between the the two estimation techniques is negligible. However, the differences between the two mine characterizations, though not large, is significant. An example uses the characterized energy spectral densities to determine the variance of error for a single step localization algorithm.<p>The MAXSRC and MINMAX algorithms are explained. The MAXSRC sensor placement algorithm places a sensor as close as possible to the source position with the maximum variance. The MINMAX sensor placement algorithm minimizes the variance of the source position with the maximum variance after the sensor has been placed. The MAXSRC algorithm is simple and can be solved using an exhaustive search while the MINMAX algorithm uses a genetic algorithm to find a solution. These algorithms are then used in three examples, two of which are simple and synthetic. The other example is from Lanigan Potash Mine. The results show that both sensor placement algorithms produce similar results, with the MINMAX algorithm consistently doing better. The MAXSRC algorithm places a single sensor approximately 100 times faster than the MINMAX algorithm. The example shows that the MAXSRC algorithm has the potential to be an efficient and intuitively simple sensor placement algorithm for mine microseismic event monitoring. The MINMAX algorithm provides, at an increase in computational time, a more robust placement criterion which can be solved adequately using a genetic algorithm.

The spectral analysis method is an important tool in time series analysis and the spectral density plays a crucial role on the spectral analysis. However, one of limitations of the spectral density is that the spectral density reflects only the covariance structure among several dependence measures in the time series data. To overcome this restriction, we define two spectral densities, the quantile spectral density and the association spectral density. The quantile spectral density can model the pairwise dependence structure and provide identification of nonlinear time series and the association spectral density allows detecting periodicities on different parts of the domain of the time series. We propose the estimators for the quantile spectral density and the association spectral density and derive their sampling properties including asymptotic normality. Furthermore, we use the quantile spectral density to develop a goodness-of-fit tests for time series and explain how this test can be used for comparing the sequential dependence structure of two time series. The asymptotic sampling properties of the test statistic are derived under the null and alternative hypothesis, and a bootstrap procedure is suggested to obtain finite sample approximation. The method is illustrated with simulations and some real data examples. Besides the exploration of the new spectral densities, we consider general quadratic forms of alpha-mixing time series and derive asymptotic normality of these forms under the relatively weak assumptions.

Através da técnica do Grupo de Renormalização desenvolvida por Wilson em 1915, calcula-se o espectro de fotoemissão de elétrons (XPS) de um sistema constituído de dois níveis profundos separados pela distância R, acoplados entre si e adsorvidos num metal. A simetria de inversão desse sistema permite que se definam dois espectros de correntes, dos elétrons fotoemitidos do orbitalligante e do anti-ligante do adsorvido, respectivamente. Próximo ao limiar de fotoemissão (&#969;T) esses espectros seguem lei de potência; os expoentes correspondentes são determinados e expressos (com leis universais) em termos das defasagens dos elétrons de condução. Se a separação R entre os sítios for nula, o espectro associado ao orbital ligante terá uma singularidade em &#969; - &#969;T = &#916;, onde &#916; é a taxa de tunelamento eletrônico entre os níveis profundos. Com o aumento dessa separação a singularidade é arrendondada em razão de decaimentos não radiativos envolvendo os orbitais profundos, o que dá um tempo de vida finito ao buraco criado pelo raio-x. Este trabalho calcula pela primeira vez a renormalização da taxa de tunelamento, devido aos processos não radiativos. / The Renormalization Group technique developed by Wilson in 1975 is used to calculate photoemission spectra (XPS) for a dimer adsorbed on a metal; our model for this system comprises two deep levels, separated by a distance R, coupled to each other, and interacting electrostatically with the sorbate. The inversion symmetry is used to define two electronics currents, coming from the bonding and anti-bonding orbitals of the dimer, respectively. Near threshold each spectrum follow a power law; the exponents are calculated and expressed (by universal laws) in terms of the phase shifts of the conduction electrons. If the distance R between the levels is zero, the spectrum associated to the bonding orbital has a singularity at &#969; - &#969;T = &#916;, where &#916; is the electronic tunneling rate between the deep levels. For increasing R, the singularity is smoothed out, due to the non-radiative decay of an electron from the anti-bonding to the bonding orbital, which makes finite the lifetime of the hole created by the x-ray. This work presents the first accurate calculation of the renormalization of the tunneling rate by this non-radiative decay.

Através da técnica do Grupo de Renormalização desenvolvida por Wilson em 1915, calcula-se o espectro de fotoemissão de elétrons (XPS) de um sistema constituído de dois níveis profundos separados pela distância R, acoplados entre si e adsorvidos num metal. A simetria de inversão desse sistema permite que se definam dois espectros de correntes, dos elétrons fotoemitidos do orbitalligante e do anti-ligante do adsorvido, respectivamente. Próximo ao limiar de fotoemissão (&#969;T) esses espectros seguem lei de potência; os expoentes correspondentes são determinados e expressos (com leis universais) em termos das defasagens dos elétrons de condução. Se a separação R entre os sítios for nula, o espectro associado ao orbital ligante terá uma singularidade em &#969; - &#969;T = &#916;, onde &#916; é a taxa de tunelamento eletrônico entre os níveis profundos. Com o aumento dessa separação a singularidade é arrendondada em razão de decaimentos não radiativos envolvendo os orbitais profundos, o que dá um tempo de vida finito ao buraco criado pelo raio-x. Este trabalho calcula pela primeira vez a renormalização da taxa de tunelamento, devido aos processos não radiativos. / The Renormalization Group technique developed by Wilson in 1975 is used to calculate photoemission spectra (XPS) for a dimer adsorbed on a metal; our model for this system comprises two deep levels, separated by a distance R, coupled to each other, and interacting electrostatically with the sorbate. The inversion symmetry is used to define two electronics currents, coming from the bonding and anti-bonding orbitals of the dimer, respectively. Near threshold each spectrum follow a power law; the exponents are calculated and expressed (by universal laws) in terms of the phase shifts of the conduction electrons. If the distance R between the levels is zero, the spectrum associated to the bonding orbital has a singularity at &#969; - &#969;T = &#916;, where &#916; is the electronic tunneling rate between the deep levels. For increasing R, the singularity is smoothed out, due to the non-radiative decay of an electron from the anti-bonding to the bonding orbital, which makes finite the lifetime of the hole created by the x-ray. This work presents the first accurate calculation of the renormalization of the tunneling rate by this non-radiative decay.

Pilot Induced Oscillations (PIO) are described as pilot-aircraft dynamic couplings which can lead to instability in an otherwise stable system. Previous and ongoing research has attempted to explain, predict, and avoid such oscillations. In contrast to other research, this effort backs away from pilot models and PIO avoidance and focuses on the characteristics of the pilot before, during, and after a PIO. Often, PIO''s can be explained by limit cycles occurring in a non-linear system where the non-linearities cause a sustained, constant amplitude oscillation. The primary instigators in such a PIO are usually a non-linear element (i.e. rate limit saturation) and a trigger event (i.e. pilot mode switching or increased pilot gain). By performing analysis in the frequency domain, determining such oscillations becomes easier. Using spectrograms and power spectral density functions, the frequency content of a signal in the pilot-aircraft system can also be investigated. An F-14 flight test was recently performed where the hydraulic system was modified to determine the feasibility of trying to recover the aircraft (land on carrier) during such an extreme hydraulic failure. During testing, a severe PIO occurred because of the tight tracking task used during aerial refueling. While performing spectrograms and power spectral analysis, an increase in power concentration at the PIO frequency was observed. With a linear approximation of the F-14 aircraft dynamics, a closed-loop system containing the aircraft, actuator, and pilot dynamics is developed so that limit cycle analysis can be performed. With stable limit cycle solutions found possible, a pilot-in-the-loop simulation is performed to verify the pilot model used in limit cycle analysis. Using the flight test data, limit cycle analysis, and pilot-in-the-loop simulation, a connection between variation in pilot behavior and PIO predicted by the increase in power concentration is investigated. The resulting connection showed that an increase in pilot gain along with a transition from observing pitch attitude to pitch rate are the possible trigger events causing the PIO. The use of spectrograms as a PIO predictor is shown to be possible, provided the necessary calculations can be completed in real-time. / Master of Science

O tratamento clareador pode resultar em alterações na rugosidade superficial do esmalte dental, as quais podem ser vistas a olho nu como alterações de cor, opacidade e perda de brilho. O objetivo deste estudo foi analisar in vitro a alteração de rugosidade, cor e brilho de superfícies de esmalte dental humano após clareamento com um produto a base de peróxido de hidrogênio (PH) 38% e após polimento com fluoreto de sódio 2% neutro (FS2%) ou pasta dentifrícia contendo partículas de nano-hidroxiapatita. Para isso, coroas de incisivos centrais humanos foram preparadas e tiveram suas faces vestibulares analisadas em microscópio de força atômica (MFA), o qual determinou os valores de rugosidade [Ra, RMS, Z range e Power Spectral Density (PSD)] iniciais. A cor e o brilho destas amostras foram determinados por um espectrofotômetro. Todas as amostras foram clareadas com PH 38% por 135 minutos. Os valores de Ra, RMS, Z range e PSD foram estabelecidos pelo MFA e a cor e o brilho determinados pelo espectrofotômetro. As amostras foram divididas em dois grupos: Flúor, que recebeu um polimento com gel de FS2%; e nHA, que recebeu um polimento com pasta dentifrícia contendo partículas de nano-hidroxiapatita. Os valores de Ra, RMS, Z range, PSD, cor e brilho pós-polimento foram determinados pelo MFA e espectrofotômetro. Após o clareamento, os valores de Ra, RMS, Z range e PSD não apresentaram alteração estatisticamente significante, os valores de L* aumentaram e C* diminuiu significativamente em todas as amostras. O brilho superficial não apresentou alteração significativa após o clareamento. O grupo Flúor não apresentou alteração de rugosidade significativa para Ra, RMS, Z range e PSD após o polimento. Os valores de L*, C* e brilho superficial também não apresentaram alterações significativas após o polimento das superfícies clareadas. No grupo nHA, os valores de Ra e RMS não apresentaram alteração significativa após o polimento das superfícies clareadas, porém os valores de Z range e PSD apresentaram alteração estatisticamente significante. Em comparação à superfície clareada, L* e C* não apresentaram alteração significante após o polimento, porém o brilho superficial foi significativamente maior. O tratamento clareador de consultório mostrou ser eficiente quanto à alteração de cor e não gerou aumento na rugosidade superficial do esmalte dental. Um polimento com pasta dentifrícia contendo partículas de nano-hidroxiapatita realizado após o clareamento é capaz de aumentar o brilho e diminuir a rugosidade superficial do esmalte dental. / Bleaching treatment may result in dental enamel surface roughness alterations, which might be seen as color alterations, opacity and gloss loss. The aim of this research was to in vitro investigate roughness, color and gloss alterations of human dental enamel surfaces after bleaching treatment with 38% hydrogen peroxide (HP) and after polishing with neutral 2% sodium fluoride or dental tooth paste containing nano-hydroxiapatite particles. Human central incisors were prepared and buccal surfaces were analyzed by an atomic force microscope (AFM), which determined roughness values [Ra, RMS, Z range and Power Spectral Density (PSD)]. Surface color and gloss were determined by a spectrophotometer. All samples were bleached with 38% HP for 135 minutes. AFM determined Ra, RMS, Z range and PSD after bleaching. Color and gloss were determined by the spectrophotometer. Samples were distributed in two different groups: Fluor, which was polished with neutral 2% sodium fluoride, and nHA, which was polished with dental tooth paste containing nano-hydroxyapatite particles. Ra, RMS, Z range, PSD, color and gloss values were determined by AFM and spectrophotometer after polishing. After bleaching, Ra, RMS, Z range and PSD didnt show any statistical difference. L* increased and C* decreased significantly in all samples after bleaching. Surface gloss didnt show significant alteration after bleaching. Fluor group didnt show surface roughness alteration considering Ra, RMS, Z range and PSD after polishing. L*, C* and gloss didnt change after bleached surfaces are polished with neutral 2% sodium fluoride. Ra and RMS of nHA group didnt change significantly after polishing, but Z range and PSD showed significant alteration. Despite L* and C* didnt change, gloss increased significantly after polishing with dental tooth paste containing nano-hydroxyapatite. In-office bleaching treatment showed to be efficient as for color enhancement and didnt cause roughness alteration in dental enamel surface. An after-bleaching polishing with dental tooth paste containing nano-hydroxyapatite particles may increase gloss and decrease surface roughness of dental enamel.

Higher-order spectral analysis of acoustical waveforms can provide phase information that is not retained in calculations of power spectral density. In the propagation of high intensity sound, nonlinearity can cause substantial changes in the waveform as frequency components interact with one another. The bispectrum, which is one order higher than power spectral density, may provide a useful measure of nonlinearity in propagation by highlighting spectral regions of interaction. This thesis provides a review of the bispectrum, places it in the context of nonlinear acoustic propagation, and presents spectra calculated as a function of distance for numerically propagated acoustic waveforms. The calculated spectra include power spectral density, quad-spectral density, bispectrum, spatial derivative of the bispectrum, bicoherence, and skewness function. / text

O tratamento clareador pode resultar em alterações na rugosidade superficial do esmalte dental, as quais podem ser vistas a olho nu como alterações de cor, opacidade e perda de brilho. O objetivo deste estudo foi analisar in vitro a alteração de rugosidade, cor e brilho de superfícies de esmalte dental humano após clareamento com um produto a base de peróxido de hidrogênio (PH) 38% e após polimento com fluoreto de sódio 2% neutro (FS2%) ou pasta dentifrícia contendo partículas de nano-hidroxiapatita. Para isso, coroas de incisivos centrais humanos foram preparadas e tiveram suas faces vestibulares analisadas em microscópio de força atômica (MFA), o qual determinou os valores de rugosidade [Ra, RMS, Z range e Power Spectral Density (PSD)] iniciais. A cor e o brilho destas amostras foram determinados por um espectrofotômetro. Todas as amostras foram clareadas com PH 38% por 135 minutos. Os valores de Ra, RMS, Z range e PSD foram estabelecidos pelo MFA e a cor e o brilho determinados pelo espectrofotômetro. As amostras foram divididas em dois grupos: Flúor, que recebeu um polimento com gel de FS2%; e nHA, que recebeu um polimento com pasta dentifrícia contendo partículas de nano-hidroxiapatita. Os valores de Ra, RMS, Z range, PSD, cor e brilho pós-polimento foram determinados pelo MFA e espectrofotômetro. Após o clareamento, os valores de Ra, RMS, Z range e PSD não apresentaram alteração estatisticamente significante, os valores de L* aumentaram e C* diminuiu significativamente em todas as amostras. O brilho superficial não apresentou alteração significativa após o clareamento. O grupo Flúor não apresentou alteração de rugosidade significativa para Ra, RMS, Z range e PSD após o polimento. Os valores de L*, C* e brilho superficial também não apresentaram alterações significativas após o polimento das superfícies clareadas. No grupo nHA, os valores de Ra e RMS não apresentaram alteração significativa após o polimento das superfícies clareadas, porém os valores de Z range e PSD apresentaram alteração estatisticamente significante. Em comparação à superfície clareada, L* e C* não apresentaram alteração significante após o polimento, porém o brilho superficial foi significativamente maior. O tratamento clareador de consultório mostrou ser eficiente quanto à alteração de cor e não gerou aumento na rugosidade superficial do esmalte dental. Um polimento com pasta dentifrícia contendo partículas de nano-hidroxiapatita realizado após o clareamento é capaz de aumentar o brilho e diminuir a rugosidade superficial do esmalte dental. / Bleaching treatment may result in dental enamel surface roughness alterations, which might be seen as color alterations, opacity and gloss loss. The aim of this research was to in vitro investigate roughness, color and gloss alterations of human dental enamel surfaces after bleaching treatment with 38% hydrogen peroxide (HP) and after polishing with neutral 2% sodium fluoride or dental tooth paste containing nano-hydroxiapatite particles. Human central incisors were prepared and buccal surfaces were analyzed by an atomic force microscope (AFM), which determined roughness values [Ra, RMS, Z range and Power Spectral Density (PSD)]. Surface color and gloss were determined by a spectrophotometer. All samples were bleached with 38% HP for 135 minutes. AFM determined Ra, RMS, Z range and PSD after bleaching. Color and gloss were determined by the spectrophotometer. Samples were distributed in two different groups: Fluor, which was polished with neutral 2% sodium fluoride, and nHA, which was polished with dental tooth paste containing nano-hydroxyapatite particles. Ra, RMS, Z range, PSD, color and gloss values were determined by AFM and spectrophotometer after polishing. After bleaching, Ra, RMS, Z range and PSD didnt show any statistical difference. L* increased and C* decreased significantly in all samples after bleaching. Surface gloss didnt show significant alteration after bleaching. Fluor group didnt show surface roughness alteration considering Ra, RMS, Z range and PSD after polishing. L*, C* and gloss didnt change after bleached surfaces are polished with neutral 2% sodium fluoride. Ra and RMS of nHA group didnt change significantly after polishing, but Z range and PSD showed significant alteration. Despite L* and C* didnt change, gloss increased significantly after polishing with dental tooth paste containing nano-hydroxyapatite. In-office bleaching treatment showed to be efficient as for color enhancement and didnt cause roughness alteration in dental enamel surface. An after-bleaching polishing with dental tooth paste containing nano-hydroxyapatite particles may increase gloss and decrease surface roughness of dental enamel.