No description available.

Se examino la produccion de vocales tonicas y atonas por parte de tres grupos de hablantes de espanol (dos grupos con diferencias en anos de experiencia y un grupo nativo). Los hablantes participaron en un experimento de produccion cuyos datos fueron sometidos a varios analisis. Se encontraron efectos robustos de los anos de practica con una segunda lengua, por el hecho de que los hablantes avanzados fueron capaces de reproducir vocales que no produjeron los intermedios. Para las vocales tonicas, la /e/ es la vocal mas difi­cil de aprender para los hablantes no-nativos, seguida por la /a/ y la /u/, mientras que la /o/ y la /i/ son mas faciles. Para las vocales atonas, la /e/ y la /o/ son las mas difi­ciles de aprender para los hablantes no-nativos, seguidas por la /a/ y la /u/, y finalmente por la /i/, la cual es la mas facil.

Megasonic cleaning is routinely used in the semiconductor industry to remove particulate contaminants from wafer and mask surfaces. Cleaning is achieved through proper choice of chemical solutions, power density and frequency of acoustic field. Considerable work has been done to increase understanding of particle removal mechanisms in megasonic cleaning using different solution chemistries with varying ionic strengths. However, to date, the focus of all these studies of particle removal has been either cavitation or acoustic streaming.The propagation of sound waves through a colloidal dispersion containing ions is known to result in the generation of two types of oscillating electric potentials, namely, Ionic Vibration Potential (IVP) and Colloid Vibration Potential (CVP). These potentials and their associated electric fields can exert forces on charged particles adhered to a surface, resulting in their removal. In addition, the pressure amplitude of the sound wave is also altered in solutions of higher ionic strengths, which can affect the cavitation process and further aid in the removal of particles from surfaces. To test the two hypotheses, investigations have been conducted on the feasibility of removal of charged particles from silicon wafers in electrolyte solutions of different ionic strengths irradiated with a megasonic field of different power densities. Cleaning experiments have been performed using potassium chloride (KCl) as a model electrolyte and silica particles as model contaminant particles. The cleaning performance in KCl solution has been compared to that in other electrolytes solutions such as sodium chloride, cesium chloride and lithium chloride. In order to characterize the cavitation events in KCl solutions, acoustic pressure and sonoluminescence measurements have been performed using hydrophone and cavitation probe respectively. The results indicate that particle removal efficiency (PRE) increases with KCl concentration and transducer power density and much lower power densities are required at higher KCl concentration for a comparable level of cleaning. Further, cleaning performances in NaCl and CsCl were found to be superior to those in KCl and LiCl solutions. Theoretical computations show that the removal forces due to CVP are much larger in magnitude than those due to IVP and are comparable to van der Waals forces.

Simulation modelling was used to quantify the accuracy of positions estimated in a three dimensional underwater environment. Time of arrival differences combined with multilateration methods were used to make positional estimates of a signal source (acoustic tag). The network studied was used to examine position estimates of aquatic organisms within a sensor (hydrophone) array. Hydrophone position uncertainty (distribution and variance), background noise converted to a measurement of signal strength in the form of a signal to noise ratio, a signal to noise ratio threshold and geometry of the hydrophone array were considered. Each of these factors was studied at two levels by way of a 2 to the power of 5 factorial design and analyzed with an ANOVA analysis to determine their influence on three dimensional positioning error. The level of background noise and hydrophone geometry were the two most influential factors in position accuracy. When a high level of background noise was present, it was essential that hydrophone geometry was as close to ideal as possible to ensure accurate position estimates.

Parvalbumin (PV) and cholecystokinin (CCK) proteins are found in the basolateral amygdala nuclei, particularly in gamma-aminobutyric acid (GABA) interneurons. PV+ neurons were localized to the basolateral amygdala and they expressed the GABA neuron marker glutamic acid decarboxylase (GAD). Here, we used Cre recombinase mouse lines to induce expression of mutant muscarinic inhibitory (hM4D) and excitatory (hM3D) receptors on PV+ or CCK+ neurons. Activation of the mutant receptors with clozapine-n-oxide (CNO) was used to measure how amygdala neural changes affect the acoustic startle reflex (ASR). Excitation of amygdala PV+ neurons potentiated the ASR. Activation of basolateral amygdalar CCK+ neurons potentiated the ASR and caused seizures, possibly by activating glutamate CCK+ neurons. The CCK+ subset of GAD neurons were targeted with a new triple transgenic mouse line (Dlx5-flpe/CCK-Cre/FrePe) to show that most CCK+ neurons were GAD negative. These findings are compared with optogenetic approaches to target specific neuronal populations.

Noise reduction aims to improve the quality of noisy speech by suppressing the background noise in the signal. However, there is always a tradeoff between noise reduction and signal distortion--more noise reduction is always accompanied by more signal distortion. An evaluation of the intelligibility of speech processed by several noise reduction algorithms in [23] showed that most noise reduction algorithms were not successful in improving the intelligibility of noisy speech. In this thesis, we aim to utilize acoustic-phonetic knowledge to enhance the intelligibility of noise-reduced speech. Acoustic-phonetics studies the characteristics of speech and the acoustic cues that are important for speech intelligibility. We considered the following questions: what is the noise reduction algorithm that we should use, what are the acoustic cues that should be targeted, and how to incorporate this information into the design of the noise reduction system. A Bayesian noise reduction method similar to the one proposed by Ephraim and Malah in [16] is employed. We first evaluate the goodness-of-fit of several parametric PDF models to the empirical speech data. For classified speech, we find that the Rayleigh and Gamma. with a fixed shape parameter of 5, model the speech spectral amplitude equally well. The Gamma-MAP and Gamma-MMSE estimators are derived. The subjective and objective performances of these estimators are then compared. We also propose to apply a class-based cue-enhancement, similar to those performed in [21]. The processing directly manipulates the acoustic cues known to be important for speech intelligibility. We assume that the system has the sound class information of the input speech. The scheme aims to enhance the interclass and intraclass distinction of speech sounds. The intelligibility of speech processed by the proposed system is then compared to the intelligibility of speech processed by the Rayleigh-MMSE estimator [16] The intelligibility evaluation shows that the proposed scheme enhances the detection of plosive and fricative sounds. However, it does not help in the intraclass discrimination of plosive sounds, and more tests need to be done to evaluate whether intraclass discrimination of fricatives is improved. The proposed scheme deteriorates the detection of nasal and affricate sounds. / Thesis (Master, Electrical & Computer Engineering) -- Queen's University, 2009-08-24 21:32:48.966

The versatility of surface acoustic wave (SAW) devices stems from the accessibility of the propagation path to modification and detection. This has led to the integration of SAWs in a variety of novel fields, including quantum information processing. The development of technologically competitive devices requires the use of gigahertz frequency SAWs. This thesis develops fabrication processes for high frequency interdigital transducers on gallium arsenide. Optically lithography was used to create linear and stepped transducers, with a minimum feature size of 2 um, that were driven at their fifth harmonic. The highest frequency achieved was 1435 MHz, but the power absorbed was less than 3% and insertion losses were greater than -80 dB. Further improvements in the design and fabrication are required if optically fabricated transducers are to be an alternative to transducers with narrower finger widths. Electron-beam lithography techniques were developed and used to create transducers with finger widths of 500 and 400 nm, with fundamental resonance frequencies of 1387 and 1744 MHz, respectively. The power absorbed was 3 to 6% with insertion losses greater than -45 dB. The performance characteristics can be improved by the removal of residual resist on the surface of the transducer. An indispensable tool for the characterization of one-port transducers is an all optical probe to measure the displacement field of a SAW. This work details the design and construction of a scanning Sagnac interferometer, that is capable of measuring the outward displacement of a surface. The spatial resolution of the interferometer was 2.4 +/- 0.2 um and the displacement sensitivity was determined to be 4 +/- 1 pm. The instrument was used to map the SAW displacement field from a 358 MHz transducer, with results showing the resonant cavity behaviour of the fingers due to Bragg reflections. It also allowed for the direct detection of the SAW amplitude as a function of the driving frequency of the transducer. The results showed good agreement with the related S21 scattering parameter. Lastly, the interferometer was used to image the attenuated propagation of SAWs through a phononic crystal. Results showed good agreement with theoretical simulations. / Thesis (Master, Physics, Engineering Physics and Astronomy) -- Queen's University, 2009-12-08 12:28:35.962

No description available.

A detailed theoretical study for the operation of the surface-acoustic-wave diode storage correlator is presented. A circuit model describing the device is developed which is used to analyze the signal storage characteristics and the different read-out modes of operation for both p-n and Schottky diode structures. The calculated predictions of the proposed theory are in excellent agreement with experimental data published by independent researchers. The theory presented is self consistent and takes into account, for the first time, the minority carrier lifetime in the dynamics of charging the p-n diode structures which was neglected in previous theories. A straightforward transmission line theory approach is developed for finding the surface-wave amplitude excited by the diode potential during the read-out process. The frequency response characteristics predicted for these structures is a fairly slowly varying function of frequency; hence such correlators are essentially bandlimited by the input and output surface-wave transducers.

Parvalbumin (PV) and cholecystokinin (CCK) proteins are found in the basolateral amygdala nuclei, particularly in gamma-aminobutyric acid (GABA) interneurons. PV+ neurons were localized to the basolateral amygdala and they expressed the GABA neuron marker glutamic acid decarboxylase (GAD). Here, we used Cre recombinase mouse lines to induce expression of mutant muscarinic inhibitory (hM4D) and excitatory (hM3D) receptors on PV+ or CCK+ neurons. Activation of the mutant receptors with clozapine-n-oxide (CNO) was used to measure how amygdala neural changes affect the acoustic startle reflex (ASR). Excitation of amygdala PV+ neurons potentiated the ASR. Activation of basolateral amygdalar CCK+ neurons potentiated the ASR and caused seizures, possibly by activating glutamate CCK+ neurons. The CCK+ subset of GAD neurons were targeted with a new triple transgenic mouse line (Dlx5-flpe/CCK-Cre/FrePe) to show that most CCK+ neurons were GAD negative. These findings are compared with optogenetic approaches to target specific neuronal populations.