Age-Related Changes in Visual Spatial Working Memory Cognits: Frontal-Parietal EEG Coherence During Delay

This study explored changes in scalp electrophysiology across two Working Memory (WM) tasks and two age groups. Continuous electroencephalography (EEG) was recorded from 18 healthy adults (18-34 years) and 12 healthy adolescents (14-17) during the performance of two Oculomotor Delayed Response (ODR) WM tasks; (i.e. eye movements were the metric of motor response). Delay-period, EEG data in the alpha frequency was sampled from anterior and parietal scalp sites to achieve a general measure of frontal and parietal activity, respectively. Frontal-parietal, alpha coherence was calculated for each participant for each ODR-WM task. Coherence significantly decreased in adults moving across the two ODR tasks, whereas, coherence significantly increased in adolescents moving across the two ODR tasks. The effects of task in the adolescent and adult groups were large and medium, respectively. Within the limits of this study, the results provide empirical support that WM development during adolescence include complex, qualitative, change.

Sean O'Sullivan Speaks Out Speech, 28 October 1970

A speech given by Sean O'Sullivan, 28 October 1970, at the Annual Meeting of the Fort Erie Progressive Conservative Association. He was President of the Ontario Young Progressive Conservative Association at the time and chose to speak out on his personal position against Marijuana.

Speech - Beaver Bill, 21 February 1975

A speech by Sean O'Sullivan, given in the House of Commons, "For the Recognition of the Beaver as a Symbol of the Sovereignty of the Dominion of Canada".

Don't : a manual of mistakes and improprieties more or less prevalent in conduct and speech

UANL

An ethnolinguistic study of the Yanesha’ (Amuesha) language and speech community in Peru’s Andean Amazon, and the traditional role of Ponapnora, a female rite of passage

Thesis written in co-mentorship with Richard Chase Smith Ph.D, of El Instituto del Bien Comun (IBC) in Peru. The attached file is a pdf created in Word. The pdf file serves to preserve the accuracy of the many linguistic symbols found in the text.

Vers un outil d'évaluation du langage préscolaire et détecteur de préalables pour l'éducation de base au Cameroun en cas de retard de langage

L’étude présente l’élaboration du premier outil d’évaluation normalisée du langage destiné aux enfants francophones d’âge préscolaire des pays africains qui se caractérisent par l’absence de services publics en orthophonie et la méconnaissance des retards de langage. En s’inspirant des techniques psychométriques langagières utilisées en Amérique du nord et en se basant sur les théories d’acquisition du langage, on a construit un outil appelé Batterie de tests de dépistage approfondi (BATEDA) qui compte onze tests répartis en trois sous-batteries évaluant respectivement l’intégrité des modalités de transmission du langage (BATEM), les composantes langagières (BATEL) et la mémoire verbale (TMV). A partir d’un échantillon de 159 enfants camerounais francophones, on a normalisé la batterie suivant la cote z et les rangs en centile. Les tests présentent une fiabilité inter-juge et intra-juge (p<0,05), une cohérence interne globale d’environ 96% (α de Cronbach=0,958) et une validité prédictive de la réussite scolaire des enfants (r=0,700). Les stratégies d’application de la BATEDA visent à favoriser la pratique du dépistage systématique et la prise en charge des retards de langage au Cameroun, en mettant à contribution les enseignants et les parents comme principaux intervenants. Les implications de cette étude sont de trois ordres : (1) une meilleure connaissance des difficultés langagières, la revalorisation des personnes atteintes et une attitude de vigilance sociale; (2) l’instauration de la pratique de dépistage précoce favorable à l’intervention; (3) une potentielle diminution du taux d’exclusion et d’abandon scolaire d’enfants présentant des retards langagiers à travers un enseignement ciblé en leur faveur.

De la difficulté des enfants dysphasiques à décoder des émotions de base : éclairages sur un syndrome méconnu

On évoque souvent des difficultés à interagir socialement chez les enfants ayant une dysphasie. Ces difficultés sont généralement attribuées aux troubles du langage, mais elles pourraient aussi provenir d’un problème à décoder les émotions des autres. Le but de la présente recherche est d’explorer cette voie chez les enfants dysphasiques de 9 à 12 ans. Différents stimuli émotionnels leur ont été présentés sous forme de vidéos ainsi qu’à des enfants d’un groupe contrôle selon cinq conditions : parole non filtrée, parole filtrée, visage dynamique, visage dynamique accompagné de la parole non filtrée, et visage dynamique avec parole filtrée. Les enfants dysphasiques et les enfants du groupe contrôle ne se comportent pas différemment de manière significative en fonction des émotions présentées et des conditions testées. Par contre, un sous-groupe d’enfants ayant une dysphasie mixte commet significativement plus d’erreurs pour l’ensemble de la tâche que le sous-groupe d’enfants sans dysphasie de même âge chronologique. En fait une part seulement des enfants dysphasiques mixtes ont des scores plus faibles. Ces mêmes enfants présentent un QI non verbal faible tandis que leur compréhension du langage est équivalente à celle de leur sous-groupe (enfants dysphasiques mixtes). Malgré ces différences significatives, les scores des enfants dysphasiques mixtes restent relativement élevés et les difficultés observées sont subtiles. Sur le plan clinique, les praticiens (orthophonistes, psychologues, éducateur) devront systématiser l’évaluation des habiletés de décodage des émotions chez l’enfant dysphasique dont les difficultés ne sont pas forcément évidentes dans la vie quotidienne. La recherche devra développer un outil de dépistage sensible aux troubles de décodage émotionnel et des stratégies thérapeutiques adaptées.

Du Roman au théâtre : le motif du Graal réactualisé dans les textes de théâtre de Jean Cocteau, Julien Gracq et Jacques Roubaud/Florence Delay

Ce travail analyse les transformations du Graal en comparant sa représentation dans les romans médiévaux et dans trois textes de théâtre modernes. Le Graal, apparu dans la littérature au Moyen Âge, reste une source d'inspiration pour les écrivains modernes au point de gagner, avec le temps, un statut légendaire. L'objet de prédilection de la littérature arthurienne a évolué de façon significative dès le Moyen Âge, où il reste cependant confiné aux formes narratives. Après le « festival scénique sacré » (Bühnenweihfestspiel), Parsifal, de Wagner présenté en 1882 à Bayreuth, des œuvres plus récentes réactualisent le mythe en cherchant à l'adapter au théâtre. Jean Cocteau, en 1937, dans Les Chevaliers de la Table Ronde, présente un Graal inaccessible, immatériel. En 1948, Julien Gracq, dans Le Roi Pêcheur, inscrit le Graal dans l'opposition entre le profane et le sacré. Jacques Roubaud et Florence Delay, dans les éditions de 1977 et 2005 de Graal Théâtre, optent pour une récriture où les représentations du mythe se côtoient et se confrontent. Ces textes de théâtre modernes, où la représentation du Graal se situe au cœur du projet d'écriture, entrent ainsi en relation directe avec les œuvres médiévales. Ils s'inscrivent dans une redéfinition de l'objet qui se renouvelle sans cesse depuis Le Conte du Graal de Chrétien de Troyes. Dans les trois cas, la représentation du Graal entretient des relations contradictoires de filiation et de rupture avec la littérature arthurienne de l'époque médiévale. L'hypothèse principale de cette recherche se situe dans la problématique de la récriture comme transformation d'un héritage. Plus précisément, il sera question de comprendre comment la représentation du Graal dans les textes de théâtre pose problème et comment cette question est modulée, travaillée par les auteurs en termes rhétoriques, stylistiques et dramaturgiques. L'utilisation de la parodie, d'anachronismes et de voix dramatiques nouvelles, par exemple, permet aux auteurs modernes de revisiter et de changer le rapport à l'objet. Le Graal se redéfinit dans des contextes historiques et dans un genre distincts de leur source du Moyen Âge.

Analysis and Design of an Adaptive Polynomial Predistorter with the Loop Delay Estimator

Most adaptive linearization circuits for the nonlinear amplifier have a feedback loop that returns the output signal oj'tne eunplifier to the lineurizer. The loop delay of the linearizer most be controlled precisely so that the convergence of the linearizer should be assured lot this Letter a delay control circuit is presented. It is a delay lock loop (ULL) with it modified early-lute gate and can he easily applied to a DSP implementation. The proposed DLL circuit is applied to an adaptive linearizer with the use of a polynomial predistorter, and the simulalion for a 16-QAM signal is performed. The simulation results show that the proposed DLL eliminates the delay between the reference input signal and the delayed feedback signal of the linearizing circuit perfectly, so that the predistorter polynomial coefficients converge into the optimum value and a high degree of linearization is achieved

Bidirectional communication using delay coupled chaotic directly modulated semiconductor lasers

Chaotic synchronization of two directly modulated semiconductor lasers with negative delayed optoelectronic feedback is investigated and this scheme is found to be useful for e±cient bidirectional communication between the lasers. A symmetric bidirec- tional coupling is identified as a suitable method for isochronal synchronization of such lasers. The optimum values of coupling and feedback strength that can provide maxi- mum quality of synchronization are identified. This method is successfully employed for encoding/decoding both analog and digital messages. The importance of a symmetric coupling is demonstrated by studying the variation of decoding efficiency with respect to asymmetric coupling.

Speech Analysis using Modern Techniques of Nonlinear Dynamics

Medical fields requires fast, simple and noninvasive methods of diagnostic techniques. Several methods are available and possible because of the growth of technology that provides the necessary means of collecting and processing signals. The present thesis details the work done in the field of voice signals. New methods of analysis have been developed to understand the complexity of voice signals, such as nonlinear dynamics aiming at the exploration of voice signals dynamic nature. The purpose of this thesis is to characterize complexities of pathological voice from healthy signals and to differentiate stuttering signals from healthy signals. Efficiency of various acoustic as well as non linear time series methods are analysed. Three groups of samples are used, one from healthy individuals, subjects with vocal pathologies and stuttering subjects. Individual vowels/ and a continuous speech data for the utterance of the sentence "iruvarum changatimaranu" the meaning in English is "Both are good friends" from Malayalam language are recorded using a microphone . The recorded audio are converted to digital signals and are subjected to analysis.Acoustic perturbation methods like fundamental frequency (FO), jitter, shimmer, Zero Crossing Rate(ZCR) were carried out and non linear measures like maximum lyapunov exponent(Lamda max), correlation dimension (D2), Kolmogorov exponent(K2), and a new measure of entropy viz., Permutation entropy (PE) are evaluated for all three groups of the subjects. Permutation Entropy is a nonlinear complexity measure which can efficiently distinguish regular and complex nature of any signal and extract information about the change in dynamics of the process by indicating sudden change in its value. The results shows that nonlinear dynamical methods seem to be a suitable technique for voice signal analysis, due to the chaotic component of the human voice. Permutation entropy is well suited due to its sensitivity to uncertainties, since the pathologies are characterized by an increase in the signal complexity and unpredictability. Pathological groups have higher entropy values compared to the normal group. The stuttering signals have lower entropy values compared to the normal signals.PE is effective in charaterising the level of improvement after two weeks of speech therapy in the case of stuttering subjects. PE is also effective in characterizing the dynamical difference between healthy and pathological subjects. This suggests that PE can improve and complement the recent voice analysis methods available for clinicians. The work establishes the application of the simple, inexpensive and fast algorithm of PE for diagnosis in vocal disorders and stuttering subjects.

Phase effects on synchronization by dynamical relaying in delay-coupled systems

Synchronization in an array of mutually coupled systems with a finite time delay in coupling is studied using the Josephson junction as a model system. The sum of the transverse Lyapunov exponents is evaluated as a function of the parameters by linearizing the equation about the synchronization manifold. The dependence of synchronization on damping parameter, coupling constant, and time delay is studied numerically. The change in the dynamics of the system due to time delay and phase difference between the applied fields is studied. The case where a small frequency detuning between the applied fields is also discussed.

Speech sample estimation from composite zerocrossings and encoding via adaptive switching of transforms

This thesis investigates the potential use of zerocrossing information for speech sample estimation. It provides 21 new method tn) estimate speech samples using composite zerocrossings. A simple linear interpolation technique is developed for this purpose. By using this method the A/D converter can be avoided in a speech coder. The newly proposed zerocrossing sampling theory is supported with results of computer simulations using real speech data. The thesis also presents two methods for voiced/ unvoiced classification. One of these methods is based on a distance measure which is a function of short time zerocrossing rate and short time energy of the signal. The other one is based on the attractor dimension and entropy of the signal. Among these two methods the first one is simple and reguires only very few computations compared to the other. This method is used imtea later chapter to design an enhanced Adaptive Transform Coder. The later part of the thesis addresses a few problems in Adaptive Transform Coding and presents an improved ATC. Transform coefficient with maximum amplitude is considered as ‘side information’. This. enables more accurate tfiiz assignment enui step—size computation. A new bit reassignment scheme is also introduced in this work. Finally, sum ATC which applies switching between luiscrete Cosine Transform and Discrete Walsh-Hadamard Transform for voiced and unvoiced speech segments respectively is presented. Simulation results are provided to show the improved performance of the coder

Development of a Biometric Personal Authentication System Based on Fingerprint and Speech

Biometrics deals with the physiological and behavioral characteristics of an individual to establish identity. Fingerprint based authentication is the most advanced biometric authentication technology. The minutiae based fingerprint identification method offer reasonable identification rate. The feature minutiae map consists of about 70-100 minutia points and matching accuracy is dropping down while the size of database is growing up. Hence it is inevitable to make the size of the fingerprint feature code to be as smaller as possible so that identification may be much easier. In this research, a novel global singularity based fingerprint representation is proposed. Fingerprint baseline, which is the line between distal and intermediate phalangeal joint line in the fingerprint, is taken as the reference line. A polygon is formed with the singularities and the fingerprint baseline. The feature vectors are the polygonal angle, sides, area, type and the ridge counts in between the singularities. 100% recognition rate is achieved in this method. The method is compared with the conventional minutiae based recognition method in terms of computation time, receiver operator characteristics (ROC) and the feature vector length. Speech is a behavioural biometric modality and can be used for identification of a speaker. In this work, MFCC of text dependant speeches are computed and clustered using k-means algorithm. A backpropagation based Artificial Neural Network is trained to identify the clustered speech code. The performance of the neural network classifier is compared with the VQ based Euclidean minimum classifier. Biometric systems that use a single modality are usually affected by problems like noisy sensor data, non-universality and/or lack of distinctiveness of the biometric trait, unacceptable error rates, and spoof attacks. Multifinger feature level fusion based fingerprint recognition is developed and the performances are measured in terms of the ROC curve. Score level fusion of fingerprint and speech based recognition system is done and 100% accuracy is achieved for a considerable range of matching threshold

Automated synthesis of delay-reduced Reed-Muller universal logic module networks

This paper presents a new approach to implement Reed-Muller Universal Logic Module (RM-ULM) networks with reduced delay and hardware for synthesizing logic functions given in Reed-Muller (RM) form. Replication of single control line RM-ULM is used as the only design unit for defining any logic function. An algorithm is proposed that does exhaustive branching to reduce the number of levels and modules required to implement any logic function in RM form. This approach attains a reduction in delay, and power over other implementations of functions having large number of variables.