Global ETD Search

1	The redundancy effect in human causal learning : attention, uncertainty, and inhibition Zaksaite, Gintare January 2017 (has links) Using an allergist task, Uengoer, Lotz and Pearce (2013) found that in a design A+/AX+/BY+/CY-, the blocked cue X was indicated to cause the outcome to a greater extent than the uncorrelated cue Y. This finding has been termed “the redundancy effect” by Pearce and Jones (2015). According to Vogel and Wagner (2017), the redundancy effect “presents a serious challenge for those theories of conditioning that compute learning through a global error-term” (p. 119). One such theory is the Rescorla-Wagner (1972) model, which predicts the opposite result, that Y will have a stronger association with the outcome than X. This thesis explored the basis of the redundancy effect in human causal learning. Evidence from Chapter 2 suggested that the redundancy effect was unlikely to have been due to differences in attention between X and Y. Chapter 3 explored whether differences in participants’ certainty about the causal status of X and of Y contributed to the redundancy effect. Manipulations aimed at disambiguating the effects that X had on the outcome, including outcome-additivity training and low outcome rate, resulted in lower ratings for this cue and a smaller redundancy effect. However, the redundancy effect was still significant with both manipulations, suggesting that while participants’ uncertainty about the causal status of X contributed to it, there may have been other factors. Chapter 4 investigated whether another factor was a lack of inhibition for cue C. In a scenario where inhibition was more plausible than in an allergist task, a negative correlation between causal ratings for C and for Y, and a positive correlation between ratings for C and the magnitude of the redundancy effect, were found. In addition, establishing C as inhibitory resulted in a smaller redundancy effect than establishing C as neutral. Overall, findings of this thesis suggest that the redundancy effect in human causal learning is the result of participants’ uncertainty about the causal status of X, and a lack of inhibition for C. Further work is recommended to explore whether combining manipulations targeting X and Y would reverse the redundancy effect, whether effects of outcome additivity and outcome rate on X are the result of participants’ uncertainty about this cue, and the extent to which participants rely on single versus summed error. 153.1
2	A New Multiple Input Random Excitation Technique Utilizing Pneumatic Cylinders Sharma, Akhil 12 September 2016 (has links) No description available. Mechanics Mechanical Engineering Pneumatic Excitation Shaker Excitation Solenoid Valve Uncorrelated Inputs Frequency Response Function Multiple Input FRF Estimation
3	Synthesizing Uncorrelated Drive Files for MIMO Transmissibility Measurements on Road Simulators Deshmukh, Shounak 12 September 2016 (has links) No description available. Mechanical Engineering Mechanics Drive Files Synthesized Drive Files Uncorrelated Drive Files Four Axis Road Simulator MIMO Transmissibility
4	Aerodynamic Modeling in Nonlinear Regions, including Stall Spins, for Fixed-Wing Unmanned Aircraft from Experimental Flight Data Gresham, James Louis 28 June 2022 (has links) With the proliferation of unmanned aircraft designed for national security and commercial purposes, opportunities exist to create high-fidelity aerodynamic models with flight test techniques developed specifically for remotely piloted aircraft. Then, highly maneuverable unmanned aircraft can be employed to their greatest potential in a safe manner using advanced control laws. In this dissertation, novel techniques are used to identify nonlinear, coupled, aerodynamic models for fixed-wing, unmanned aircraft from flight test data alone. Included are quasi-steady and unsteady nominal flight models, aero-propulsive models, and spinning flight models. A novel flight test technique for unmanned aircraft, excitation with remote uncorrelated pilot inputs, is developed for use in nominal and nonlinear flight regimes. Orthogonal phase-optimized multisine excitation signals are also used as inputs while collecting gliding, aero-propulsive, and spinning flight data. A novel vector decomposition of explanatory variables leads to an elegant model structure for stall spin flight data analysis and spin aerodynamic modeling. Results for each model developed show good agreement between model predictions and validation flight data. Two novel applications of aerodynamic modeling are discussed including energy-based nonlinear directional control and a spin flight path control law for use as a flight termination system. Experimental and simulation results from these applications demonstrate the utility of high-fidelity models developed from flight data. / Doctor of Philosophy / This dissertation presents flight test experiments conducted using a small remotely controlled airplane to determine mathematical equations and parameter values, called models, to describe the airplane's motion. Then, the models are applied to control the path of the airplane. The process to develop the models and predict an airplane's motion using flight data is described. New techniques are presented for data collection and analysis for unusual flight conditions, including a spinning descent. Results show the techniques can predict the airplane's motion very well. Two experiments are presented demonstrating new applications and the usefulness of the mathematical models. system identification aerodynamic modeling stall spin remote uncorrelated pilot inputs fixed-wing aircraft unmanned aircraft flight test
5	Elastic matching for classification and modelisation of incomplete time series / Appariement élastique pour la classification et la modélisation de séries temporelles incomplètes Phan, Thi-Thu-Hong 12 October 2018 (has links) Les données manquantes constituent un challenge commun en reconnaissance de forme et traitement de signal. Une grande partie des techniques actuelles de ces domaines ne gère pas l'absence de données et devient inutilisable face à des jeux incomplets. L'absence de données conduit aussi à une perte d'information, des difficultés à interpréter correctement le reste des données présentes et des résultats biaisés notamment avec de larges sous-séquences absentes. Ainsi, ce travail de thèse se focalise sur la complétion de larges séquences manquantes dans les séries monovariées puis multivariées peu ou faiblement corrélées. Un premier axe de travail a été une recherche d'une requête similaire à la fenêtre englobant (avant/après) le trou. Cette approche est basée sur une comparaison de signaux à partir d'un algorithme d'extraction de caractéristiques géométriques (formes) et d'une mesure d'appariement élastique (DTW - Dynamic Time Warping). Un package R CRAN a été développé, DTWBI pour la complétion de série monovariée et DTWUMI pour des séries multidimensionnelles dont les signaux sont non ou faiblement corrélés. Ces deux approches ont été comparées aux approches classiques et récentes de la littérature et ont montré leur faculté de respecter la forme et la dynamique du signal. Concernant les signaux peu ou pas corrélés, un package DTWUMI a aussi été développé. Le second axe a été de construire une similarité floue capable de prender en compte les incertitudes de formes et d'amplitude du signal. Le système FSMUMI proposé est basé sur une combinaison floue de similarités classiques et un ensemble de règles floues. Ces approches ont été appliquées à des données marines et météorologiques dans plusieurs contextes : classification supervisée de cytogrammes phytoplanctoniques, segmentation non supervisée en états environnementaux d'un jeu de 19 capteurs issus d'une station marine MAREL CARNOT en France et la prédiction météorologique de données collectées au Vietnam. / Missing data are a prevalent problem in many domains of pattern recognition and signal processing. Most of the existing techniques in the literature suffer from one major drawback, which is their inability to process incomplete datasets. Missing data produce a loss of information and thus yield inaccurate data interpretation, biased results or unreliable analysis, especially for large missing sub-sequence(s). So, this thesis focuses on dealing with large consecutive missing values in univariate and low/un-correlated multivariate time series. We begin by investigating an imputation method to overcome these issues in univariate time series. This approach is based on the combination of shape-feature extraction algorithm and Dynamic Time Warping method. A new R-package, namely DTWBI, is then developed. In the following work, the DTWBI approach is extended to complete large successive missing data in low/un-correlated multivariate time series (called DTWUMI) and a DTWUMI R-package is also established. The key of these two proposed methods is that using the elastic matching to retrieving similar values in the series before and/or after the missing values. This optimizes as much as possible the dynamics and shape of knowledge data, and while applying the shape-feature extraction algorithm allows to reduce the computing time. Successively, we introduce a new method for filling large successive missing values in low/un-correlated multivariate time series, namely FSMUMI, which enables to manage a high level of uncertainty. In this way, we propose to use a novel fuzzy grades of basic similarity measures and fuzzy logic rules. Finally, we employ the DTWBI to (i) complete the MAREL Carnot dataset and then we perform a detection of rare/extreme events in this database (ii) forecast various meteorological univariate time series collected in Vietnam Imputation Données manquantes Séries temporelles univariées Dynamic Time Warping Mesure de similarité Système d'inférence floue Imputation Missing data Univariate time series Uncorrelated multivariate time series Dynamic Time Warping Similarity measure Fuzzy inference system
6	Transporte eletrônico em sistemas de baixa dimensionalidade com interação elétron-fônon e campos elétricos / Electronic transport on low dimensionality systems mediated by electron-phonon interaction and electric field Ranciaro Neto, Adhemar 30 June 2016 (has links) In this work we studied electron dynamics in two 1-D distinct systems: (1) anharmonic lattice with electron-phonon interaction under the effect of a static parallel electric field and (2) harmonic alloy with uncorrelated diagonal disorder, electron-phonon interaction and under the effect of surface acoustic wave (SAW). In both cases we used quantum mechanics formalism for the electron and a classical Hamiltonian for chain vibrations. Moreover, electron-phonon coupling was described by a transfer energy function which depends on relative distance of nearest neighbor ions. We developed numerical calculation employing Taylor truncated expansion method for Schrödinger's equation time evolution operator and other two for lattice deformation (Euler and finite difference). Results (1) point out to the existence of a competition among electron-lattice coupling and electric field. The former promotes a electron-soliton pair formation, which moves along the chain and the latter traps electron around initial position generating Bloch-like oscillations. On system (2), association between SAW and eletron-phonon interaction promotes the breakdown of Anderson localization and charge transport even in a high disorder level. We had acceptable numerical tolerance and our calculations are in agreement to the theory. / Neste trabalho foi estudado o problema dinâmica de um elétron em dois sistemas unidimensionais distintos: (1) rede não harmônica com interação elétron-fônon e sob a ação de um campo elétrico estático aplicado paralelamente a ela e (2) rede harmônica com desordem diagonal não correlacionada, com interação elétron-fônon e sob a influência de ondas acústicas de superfície (SAW). Nos dois casos, foram utilizados formalismo quântico para o estudo do elétron e uma hamiltoniana clássica para as vibrações da cadeia. Além disso, o acoplamento do ente quântico com a rede foi descrito a partir da energia de transferência entre íons vizinhos, com aquela sendo dependente da distncia efetiva destes. Foi aplicado o método numérico de expansão truncada de Taylor para a evolução temporal da equação de Schrödinger dependente do tempo em ambos os casos, enquanto para a dinâmica das deformações foram empregados métodos distintos (Euler e diferenças finitas). Os resultados de (1) apontaram para a ocorrência de uma competição entre o acoplamento elétron-fônon e o campo elétrico. O primeiro promove um par elétron-soliton que se move ao longo da cadeia e o segundo aprisiona o elétron em torno de sua posição inicial criando oscilações semelhantes às de Bloch. No sistema (2), a associação entre SAW e a interação elétron-rede destroem o fenômeno da localização de Anderson permitindo o transporte de carga, mesmo em níveis altos de desordem. Os níiveis de precisão numérica são aceitáveis e os cálculos estão em consonância com os preceitos teóricos. Transporte Eletrônico Desordem não correlacioanda Campo Elétrico Ondas acústicas Elétron-fônon Rede de Morse Electronic transport Uncorrelated disorder Electric field Acoustic wave Electron-phonon Morse lattice CNPQ::CIENCIAS EXATAS E DA TERRA::FISICA
7	Modeling the dispersion and evaporation of sprays in aeronautical combustion chambers / Modélisation de la dispersion et l'évaporation de sprays dans les chambres de combustion aéronautiques Sierra Sànchez, Patricia 23 January 2012 (has links) De nos jours, la combustion représente encore un 90% de la production totale d'énergie au monde. La plupart des brûleurs de type industriel utilisent comme carburant des hydrocarbures en forme liquide. Cependant, un grand nombre d'études ont été dédiés aux flammes gazeuses et l'impact du spray liquide est encore loin d'être totalement compris. Le but de cet étude est l'amélioration de la modélisation des deux phénomènes principaux qui ont lieu entre l'atomisation du spray et la combustion, i.e. la dispersion des gouttes par la turbulence gazeuse et le procès d'évaporation dans le contexte de la Simulation Aux Grandes Echelles (SGE) des configurations complexes. Premièrement, l'approche Euler-Euler mésoscopique (Février et al. (2005)), basée sur une moyenne d'ensemble conditionnée et implémentée dans AVBP est amélioré. Le modèle de fermeture (Simonin et al. (2001); Kaufmann (2004)) pour les moments de deuxième ordre qui apparait dans les équations de transport résolues échoue quand appliqué à des configurations cisaillées (Riber (2007)). Plusieurs modèles proposés récemment par Masi (2010) et qui ont été valides a priori dans une configuration de nappe chargée de particules sont validés a posteriori dans la même configuration. Un analyse quantitative sur plusieurs cas avec diffèrent nombres de Stokes, nombres de Reynolds de la phase gazeuse et résolutions du maillage ont permit de retenir un modèle non-linéaire nommé 2EASM3, qui utilise le tenseur de déformations de la phase dispersée comme échelle de temps caractéristique. La deuxième partie a pour but l'amélioration du modèle d'évaporation implémenté dans AVBP. Ce modèle suppose une conduction infinie dans la phase liquide et symétrie sphérique dans la phase gazeuse ainsi que des lois simplifiées pour les propriétés thermodynamiques et de transport. Un nouveau modèle prenant en compte la dépendance de la viscosité du mélange gazeux avec la composition locale, et des nombres de Prandtl et Schmidt fixés par les valeurs à l'équilibre obtenus par moyen d'une simulation prenant en compte des lois complèxes pour les propriétés thermodynamiques et de transport est proposé. Cette nouvelle méthode produit des résultats en bon accord avec les mesures expérimentales pour l'évaporation d'une goutte isolé en une atmosphère d'azote au calme sans pourtant augmenter le cout du calcul. Finalement, l'impacte des nouveaux modèles est analysé dans une SGE de la configuration semi-industrielle MERCATO (García-Rosa (2008)). Bien que les données expérimentales ne soient pas suffisantes pour confirmer les résultats, les distributions de gouttes et de carburant gazeux sont significativement affectés par les modèles, ce qui pourrait avoir un impact directe sur le procès d'allumage. / Combustion still represents about 90% of the energy production in the world. Most industrial burners are fuelled with liquid hydrocarbons. However, most studies have been dedicated to gaseous ßames and the impact of liquid spray is still misunderstood. The purpose of this study is to improve the modelisation of two main phenomena occurring between atomization and combustion, i.e. the droplet dispersion in the turbulent gaseous flow and the evaporation process, in the context of Large Eddy Simulation (LES) of complex configurations. First, the mesoscopic Euler-Euler approach (Février et al. (2005)) based on a conditioned ensemble averaging and implemented in AVBP is improved. The closure model (Simonin et al. (2001), Kaufmann (2004)) for the second-order moments appearing in the transport equations solved fails in mean-sheared configurations (Riber (2007)). Several new models proposed by Masi (2010) and a priori tested in a particle-laden slab are tested a posteriori in the same configuration. A quantitative analysis based on several calculations varying the Stokes number, the gaseous Reynolds number and the grid resolution allows to retain a non-linear model using the particle rate-of-strain tensor as timescale and called 2EASM3. The second part consists in improving the evaporation model implemented in AVBP which assumes infinite conduction in the liquid and spherical symmetry in the gas phase along with simplified thermodynamics and transport properties calculation. A new model is proposed, where the dependence of gaseous mixture viscosity on local composition is accounted for, and the Prandtl and Schmidt numbers are fixed by a reference equilibrium calculation using complex thermodynamics and transport properties. This method shows good agreement with experimental measurements in the configuration of an isolated droplet evaporating in quiescent N2 without further increasing the computational cost. Finally, the impact of the new models is analysed in the LES of the MERCATO semi-industrial configuration (García-Rosa (2008)). Although the experimental data are not sufficient to confirm the results, both the droplet distribution and the fuel mass fraction are significantly affected, which would eventually affect the ignition process. Ecoulement diphasique Approche Euler-Euler Formalisme Eulerien mésoscopique Mouvement décorrelé Evaporation Simulation aux grandes échelles Ecoulement diphasique Euler-euler Approach Mesoscopic Eulerian formalism Random uncorrelated motion Evaporation Large Eddy Simulation
8	Estimation and separation of linear frequency- modulated signals in wireless communications using time - frequency signal processing. Nguyen, Linh- Trung January 2004 (has links) Signal processing has been playing a key role in providing solutions to key problems encountered in communications, in general, and in wireless communications, in particular. Time-Frequency Signal Processing (TFSP) provides eective tools for analyzing nonstationary signals where the frequency content of signals varies in time as well as for analyzing linear time-varying systems. This research aimed at exploiting the advantages of TFSP, in dealing with nonstationary signals, into the fundamental issues of signal processing, namely the signal estimation and signal separation. In particular, it has investigated the problems of (i) the Instantaneous Frequency (IF) estimation of Linear Frequency-Modulated (LFM) signals corrupted in complex-valued zero-mean Multiplicative Noise (MN), and (ii) the Underdetermined Blind Source Separation (UBSS) of LFM signals, while focusing onto the fast-growing area of Wireless Communications (WCom). A common problem in the issue of signal estimation is the estimation of the frequency of Frequency-Modulated signals which are seen in many engineering and real-life applications. Accurate frequency estimation leads to accurate recovery of the true information. In some applications, the random amplitude modulation shows up when the medium is dispersive and/or when the assumption of point target is not valid; the original signal is considered to be corrupted by an MN process thus seriously aecting the recovery of the information-bearing frequency. The IF estimation of nonstationary signals corrupted by complex-valued zero-mean MN was investigated in this research. We have proposed a Second-Order Statistics approach, rather than a Higher-Order Statistics approach, for IF estimation using Time-Frequency Distributions (TFDs). The main assumption was that the autocorrelation function of the MN is real-valued but not necessarily positive (i.e. the spectrum of the MN is symmetric but does not necessary has the highest peak at zero frequency). The estimation performance was analyzed in terms of bias and variance, and compared between four dierent TFDs: Wigner-Ville Distribution, Spectrogram, Choi-Williams Distribution and Modified B Distribution. To further improve the estimation, we proposed to use the Multiple Signal Classification algorithm and showed its better performance. It was shown that the Modified B Distribution performance was the best for Signal-to-Noise Ratio less than 10dB. In the issue of signal separation, a new research direction called Blind Source Separation (BSS) has emerged over the last decade. BSS is a fundamental technique in array signal processing aiming at recovering unobserved signals or sources from observed mixtures exploiting only the assumption of mutual independence between the signals. The term "blind" indicates that neither the structure of the mixtures nor the source signals are known to the receivers. Applications of BSS are seen in, for example, radar and sonar, communications, speech processing, biomedical signal processing. In the case of nonstationary signals, a TF structure forcing approach was introduced by Belouchrani and Amin by defining the Spatial Time- Frequency Distribution (STFD), which combines both TF diversity and spatial diversity. The benefit of STFD in an environment of nonstationary signals is the direct exploitation of the information brought by the nonstationarity of the signals. A drawback of most BSS algorithms is that they fail to separate sources in situations where there are more sources than sensors, referred to as UBSS. The UBSS of nonstationary signals was investigated in this research. We have presented a new approach for blind separation of nonstationary sources using their TFDs. The separation algorithm is based on a vector clustering procedure that estimates the source TFDs by grouping together the TF points corresponding to "closely spaced" spatial directions. Simulations illustrate the performances of the proposed method for the underdetermined blind separation of FM signals. The method developed in this research represents a new research direction for solving the UBSS problem. The successful results obtained in the research development of the above two problems has led to a conclusion that TFSP is useful for WCom. Future research directions were also proposed. signal processing wireless mobile communications time -frequency distribution nonstatonary signal linear frequency - modulation instantaneous frequency estimation time - frequency distribution reduced - inteference distribution array processing underdetermined blind source separation instantaneous linear mixture spatial time - frequency distribution vector clustering rayleigh fading narrowband fading channel wideband fading channel linear time - varying channel scattering function estimation separation simulation
9	Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms Vestin, Albin, Strandberg, Gustav January 2019 (has links) Today, the main research field for the automotive industry is to find solutions for active safety. In order to perceive the surrounding environment, tracking nearby traffic objects plays an important role. Validation of the tracking performance is often done in staged traffic scenarios, where additional sensors, mounted on the vehicles, are used to obtain their true positions and velocities. The difficulty of evaluating the tracking performance complicates its development. An alternative approach studied in this thesis, is to record sequences and use non-causal algorithms, such as smoothing, instead of filtering to estimate the true target states. With this method, validation data for online, causal, target tracking algorithms can be obtained for all traffic scenarios without the need of extra sensors. We investigate how non-causal algorithms affects the target tracking performance using multiple sensors and dynamic models of different complexity. This is done to evaluate real-time methods against estimates obtained from non-causal filtering. Two different measurement units, a monocular camera and a LIDAR sensor, and two dynamic models are evaluated and compared using both causal and non-causal methods. The system is tested in two single object scenarios where ground truth is available and in three multi object scenarios without ground truth. Results from the two single object scenarios shows that tracking using only a monocular camera performs poorly since it is unable to measure the distance to objects. Here, a complementary LIDAR sensor improves the tracking performance significantly. The dynamic models are shown to have a small impact on the tracking performance, while the non-causal application gives a distinct improvement when tracking objects at large distances. Since the sequence can be reversed, the non-causal estimates are propagated from more certain states when the target is closer to the ego vehicle. For multiple object tracking, we find that correct associations between measurements and tracks are crucial for improving the tracking performance with non-causal algorithms. evaluation target tracking multiple sensors non-causal smoother smoothing tracking vehicle tracking camera lidar estimate estimation prediction vehicle dynamics sensor fusion real-time tracking extended kalman filter filter validation validation position estimation velocity estimation dynamic model model complexity multi object tracking multiple object tracking single object tracking data association tracking fundamentals iterated kalman filter track management gnn global nearest neighbour mahalanobis mahalanobis distance performance evaluation differential gps dgps roi ego several sensors sensors rmse root mean square error invertible motion anti-causal motion anti-causal tracking constant velocity gnn imu tfs two filter smoother ekf rts radar inertial measurement unit nonlinear nonlinear systems mono camera monocular camera noise model tracking performance fixed interval smoothing m/n logic centralized fusion non-causal object tracker car tracking car dynamics automotive active safety object tracking automotive industry thesis master reverse dynamics reverse tracking reverse sequence sequence tracking data propagation ground truth estimating ground truth additional sensors mounted sensors true estimates environment comparison algorithm independent targets overlapping measurements occluded track switch improve lower uncertainty more certain state process noise covariance sampling image sprt adas cnn cv pdf track target ego tracker tentative track observatiom online tracking offline tracking online offline recorded sequences robust self driving self-driving car traffic trajectory true state scenario scenarios future accurate output advanced driver assistance systems non-linear complex noise pedestrian truck bus maneuvering vehicles processed measurement frame state correction probability density function tuning likelihood transition measurement motion model recursion gaussian approximation distribution linear jacobian multiplicative noise ratio ad hoc ad hoc state space approach backward auction euclidean distance statistical threshold gating association margin normalize covariance matrix fusion confirmed rejected tentative history absolute error modular ego motion parameters variables logg hardware specification fused causal factorization independent uncorrelated transform moving rotation translation oncoming overtaking Control Engineering Reglerteknik

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