Design and Simulation of High-Speed Rotating Electrical Machinery

Global energy consumption has been increasing yearly and a big portion of it is used in rotating electrical machineries. It is clear that in these machines energy should be used efficiently. In this dissertation the aim is to improve the design process of high-speed electrical machines especially from the mechanical engineering perspective in order to achieve more reliable and efficient machines. The design process of high-speed machines is challenging due to high demands and several interactions between different engineering disciplines such as mechanical, electrical and energy engineering. A multidisciplinary design flow chart for a specific type of high-speed machine in which computer simulation is utilized is proposed. In addition to utilizing simulation parallel with the design process, two simulation studies are presented. The first is used to find the limits of two ball bearing models. The second is used to study the improvement of machine load capacity in a compressor application to exceed the limits of current machinery. The proposed flow chart and simulation studies show clearly that improvements in the high-speed machinery design process can be achieved. Engineers designing in high-speed machines can utilize the flow chart and simulation results as a guideline during the design phase to achieve more reliable and efficient machines that use energy efficiently in required different operation conditions.

Autonomic and electrocortical indices of performance monitoring and source memory discrimination in older and younger adults

Reduced capacity for executive cognitive function and for the autonomic control of cardiac responsivity are both concomitants of the aging process. These may be linked through their mutual dependence on medial prefrontal function, but the specifics ofthat linkage have not been well explored. Executive functions associated with medial prefrontal cortex involve various aspects ofperformance monitoring, whereas centrally mediated autonomic functions can be observed as heart rate variability (HRV), i.e., variability in the length of intervals between heart beats. The focus for this thesis was to examine the degree to which the capacity for phasic autonomic adjustments to heart rate relates to performance monitoring in younger and older adults, using measures of electrocortical and autonomic activity. Behavioural performance and attention allocation during two age-sensitive tasks could be predicted by various aspects of autonomic control. For young adults, greater influence of the parasympathetic system on HRV was beneficial for learning unfamiliar maze paths; for older adults, greater sympathetic influence was detrimental to these functions. Further, these relationships were primarily evoked when the task required the construction and use of internalized representations of mazes rather than passive responses to feedback. When memory for source was required, older adults made three times as many source errors as young adults. However, greater parasympathetic influence on HRV in the older group was conducive to avoiding source errors and to reduced electrocortical responses to irrelevant information. Higher sympathetic predominance, in contrast, was associated with higher rates of source error and greater electrocortical responses tq non-target information in both groups. These relations were not seen for 11 errors associated with a speeded perceptual task, irrespective of its difficulty level. Overall, autonomic modulation of cardiac activity was associated with higher levels of performance monitoring, but differentially across tasks and age groups. With respect to age, those older adults who had maintained higher levels of autonomic cardiac regulation appeared to have also maintained higher levels of executive control over task performance.

Evolutionary synthesis of stochastic gene network models using feature-based search spaces

A feature-based fitness function is applied in a genetic programming system to synthesize stochastic gene regulatory network models whose behaviour is defined by a time course of protein expression levels. Typically, when targeting time series data, the fitness function is based on a sum-of-errors involving the values of the fluctuating signal. While this approach is successful in many instances, its performance can deteriorate in the presence of noise. This thesis explores a fitness measure determined from a set of statistical features characterizing the time series' sequence of values, rather than the actual values themselves. Through a series of experiments involving symbolic regression with added noise and gene regulatory network models based on the stochastic 'if-calculus, it is shown to successfully target oscillating and non-oscillating signals. This practical and versatile fitness function offers an alternate approach, worthy of consideration for use in algorithms that evaluate noisy or stochastic behaviour.

Cognitive deficits in alcoholism

Contexte : Les répercussions de l’alcool au niveau des fonctions cognitives sont bien documentées. Certaines hypothèses suggèrent que l’alcool affecte des fonctions cognitives spécifiques alors que d’autres avancent l’hypothèse de déficits diffus. Cependant, une ambigüité persiste concernant quelles fonctions cognitives sont le plus touchées par l’alcool, et à quel point la durée d’abstinence affecte la récupération cognitive. Nous avons procédé à une des premières méta-analyses qui s’intéresse aux différentes fonctions cognitives touchées par la consommation problématique d’alcool et à la durée d’abstinence requise pour une récupération au niveau des cognitions. Méthodes : Une recherche de la littérature a permis d’identifier 62 études évaluant les cognitions chez les personnes présentant des troubles liés à l’utilisation d’alcool. Les estimations de la taille d’effet ont été calculées avec la Comprehensive Meta Analysis –V2 pour les 12 domaines cognitifs suivants : quotient intellectuel, fluidité verbale/langage, vitesse de traitement de l’information, mémoire de travail, attention, résolution de problème/fonctions exécutives, inhibition/impulsivité, apprentissage verbal, mémoire verbale, apprentissage visuel, mémoire visuelle, habiletés visuo-spatiales. Parmi ces 12 domaines cognitifs, 3 estimations de la taille d’effet ont été calculées selon les durées d’abstinences suivantes : court- (<1 mois), moyen- (2 à 12 mois) et long- (>1 an) termes. Résultats : Les résultats ont révélé la présence de dysfonctions modérées dans 11 domaines cognitifs durant l’abstinence à court terme, et dans 10 domaines cognitifs pour le moyen-terme. Des dysfonctions cognitives minimales furent notées durant l’abstinence à long-terme. Conclusions : Ces résultats révèlent des déficits cognitifs significatifs et diffus durant la première année d’abstinence. Déficits qui se normalisent après un an. Ces résultats soutiennent l’hypothèse de déficits cognitifs diffus reliés à l’alcoolisme et suggèrent que la cognition devrait faire partie intégrante du traitement d’alcoolisme.

Développement et validation d'un modèle de simulation numérique personnalisé à une athlète de plongeon

Les entraîneurs en sports acrobatiques disposent de peu d’outils permettant d’améliorer leur compréhension des saltos vrillés et la performance des athlètes. L’objectif de ce mémoire était de développer un environnement graphique de simulation numérique réaliste et utile des acrobaties aériennes. Un modèle composé de 17 segments et de 42 degrés de liberté a été développé et personnalisé à une athlète de plongeon. Un système optoélectronique échantillonné à 300 Hz a permis l’acquisition de huit plongeons en situation réelle d’entraînement. La cinématique articulaire reconstruite avec un filtre de Kalman étendu a été utilisée comme entrée du modèle. Des erreurs quadratiques moyennes de 20° (salto) et de 9° (vrille) entre les performances simulées et réelles ont permis de valider le modèle. Enfin, une formation basée sur le simulateur a été offerte à 14 entraîneurs en sports acrobatiques. Une augmentation moyenne de 11 % des résultats aux questionnaires post-test a permis de constater le potentiel pédagogique de l’outil pour la formation.

Relations entre la mobilité, la condition physique et les fonctions cognitives dans une perspective de vieillissement sain

Thèse effectuée en cotutelle (Université de Poitiers, France)

Modeling Robot Dynamic Performance for Endpoint Force Control

This research aims to understand the fundamental dynamic behavior of servo-controlled machinery in response to various types of sensory feedback. As an example of such a system, we study robot force control, a scheme which promises to greatly expand the capabilities of industrial robots by allowing manipulators to interact with uncertain and dynamic tasks. Dynamic models are developed which allow the effects of actuator dynamics, structural flexibility, and workpiece interaction to be explored in the frequency and time domains. The models are used first to explain the causes of robot force control instability, and then to find methods of improving this performance.

A Gain Scheduling Model Predictive Controller for Blood Glucose Control in Type 1 Diabetes

This paper presents a control strategy for blood glucose(BG) level regulation in type 1 diabetic patients. To design the controller, model-based predictive control scheme has been applied to a newly developed diabetic patient model. The controller is provided with a feedforward loop to improve meal compensation, a gain-scheduling scheme to account for different BG levels, and an asymmetric cost function to reduce hypoglycemic risk. A simulation environment that has been approved for testing of artificial pancreas control algorithms has been used to test the controller. The simulation results show a good controller performance in fasting conditions and meal disturbance rejection, and robustness against model–patient mismatch and errors in meal estimation

Estado situacional de los modelos basados en agentes y su impacto en la investigación organizacional

En un mundo hiperconectado, dinámico y cargado de incertidumbre como el actual, los métodos y modelos analíticos convencionales están mostrando sus limitaciones. Las organizaciones requieren, por tanto, herramientas útiles que empleen tecnología de información y modelos de simulación computacional como mecanismos para la toma de decisiones y la resolución de problemas. Una de las más recientes, potentes y prometedoras es el modelamiento y la simulación basados en agentes (MSBA). Muchas organizaciones, incluidas empresas consultoras, emplean esta técnica para comprender fenómenos, hacer evaluación de estrategias y resolver problemas de diversa índole. Pese a ello, no existe (hasta donde conocemos) un estado situacional acerca del MSBA y su aplicación a la investigación organizacional. Cabe anotar, además, que por su novedad no es un tema suficientemente difundido y trabajado en Latinoamérica. En consecuencia, este proyecto pretende elaborar un estado situacional sobre el MSBA y su impacto sobre la investigación organizacional.

Calculation of Franck-Condon factors including anharmonicity: simulation of the C2 H4+ X̃2B 3u←C2 H4X̃1 Ag band in the photoelectron spectrum of ethylene

Our new simple method for calculating accurate Franck-Condon factors including nondiagonal (i.e., mode-mode) anharmonic coupling is used to simulate the C2H4+X2B 3u←C2H4X̃1 Ag band in the photoelectron spectrum. An improved vibrational basis set truncation algorithm, which permits very efficient computations, is employed. Because the torsional mode is highly anharmonic it is separated from the other modes and treated exactly. All other modes are treated through the second-order perturbation theory. The perturbation-theory corrections are significant and lead to a good agreement with experiment, although the separability assumption for torsion causes the C2 D4 results to be not as good as those for C2 H4. A variational formulation to overcome this circumstance, and deal with large anharmonicities in general, is suggested

Estratégias de intervenção educativa junto de alunos com hiperatividade e problemas de atenção

A Perturbação de Hiperatividade e Défice de Atenção (PHDA) é um distúrbio que, segundo a literatura, afeta entre 3-7% das crianças em idade escolar e que consiste numa tríade de desatenção, hiperatividade e impulsividade. Este distúrbio é prevalente e para os atingidos pode ter consequências gravosas sendo o insucesso escolar um dos primeiros obstáculos. Muitas vezes entendidas pela classe docente como falta de educação e preguiça, estas características não recebem a atenção devida. Baseado num aluno do 8º ano com diagnóstico de PHDA do tipo misto desde os 5 anos de idade, este projeto destinou-se a estudar sumariamente a PHDA e a encontrar, aplicar e avaliar a eficácia de um conjunto de estratégias de aprendizagem que, numa perspetiva inclusiva, permitissem quer ao aluno quer ao grupo turma desenvolver os seus potenciais de aprendizagem. O aluno não se encontra abrangido pelo Decreto Lei 3/2008 mas apresentou insucesso escolar no 7º ano que quase comprometeu a sua progressão. Integra uma turma de dezasseis alunos que inclui três alunos abrangidos pelo referido decreto sendo um de currículo específico individual. Este projeto desenvolveu-se no primeiro período do ano letivo 2012-2013 e possui duas vertentes: a tutoria individual - num tempo semanal – assumido na qualidade de diretora de turma, e o espaço de sala de aula curricular de Físico-Química – em três tempos semanais – da qual a autora do presente trabalho é docente. O projeto de tutoria, sugerido pelo psicólogo que acompanha o aluno, destinou-se à implementação de um Programa de Promoção da Função Cognitiva e de Métodos e Hábitos de Estudo incidindo nos seguintes domínios: componente motivacional, componente comportamental, componente cognitiva, autoconhecimento e autoavaliação, e planeamento de uma metodologia de estudo mais eficaz. Em sala de aula o enfoque esteve na componente motivacional para o estudo da disciplina com o intento de otimizar as funções executivas de Ativação, Foco e Esforço mencionadas por Brown (2009), e na atribuição de significado aos conteúdos estudados para trabalhar a Memória de curto e longo prazo. Para a abordagem dos vários temas utilizaram-se recursos variados procurando respeitar os vários estilos de aprendizagem mas o recurso a objetos e atividades experimentais foram os que se revelaram mais eficazes. No final desta intervenção, a avaliação do período em estudo revelou um aluno mais motivado e participativo na generalidade das disciplinas e especialmente em Físico-Química onde obteve classificações acima da média da turma. PALAVRAS CHAVE: Perturbação de hiperatividade e défice de atenção, inclusão, estratégias de intervenção em sala de aula.

RBF equalizer design using directional evolutionary multi-objective optimization

Whilst radial basis function (RBF) equalizers have been employed to combat the linear and nonlinear distortions in modern communication systems, most of them do not take into account the equalizer's generalization capability. In this paper, it is firstly proposed that the. model's generalization capability can be improved by treating the modelling problem as a multi-objective optimization (MOO) problem, with each objective based on one of several training sets. Then, as a modelling application, a new RBF equalizer learning scheme is introduced based on the directional evolutionary MOO (EMOO). Directional EMOO improves the computational efficiency of conventional EMOO, which has been widely applied in solving MOO problems, by explicitly making use of the directional information. Computer simulation demonstrates that the new scheme can be used to derive RBF equalizers with good performance not only on explaining the training samples but on predicting the unseen samples.

Nonlinear channel equalizer design using directional evolutionary multi-objective optimization

In this paper, a new equalizer learning scheme is introduced based on the algorithm of the directional evolutionary multi-objective optimization (EMOO). Whilst nonlinear channel equalizers such as the radial basis function (RBF) equalizers have been widely studied to combat the linear and nonlinear distortions in the modern communication systems, most of them do not take into account the equalizers' generalization capabilities. In this paper, equalizers are designed aiming at improving their generalization capabilities. It is proposed that this objective can be achieved by treating the equalizer design problem as a multi-objective optimization (MOO) problem, with each objective based on one of several training sets, followed by deriving equalizers with good capabilities of recovering the signals for all the training sets. Conventional EMOO which is widely applied in the MOO problems suffers from disadvantages such as slow convergence speed. Directional EMOO improves the computational efficiency of the conventional EMOO by explicitly making use of the directional information. The new equalizer learning scheme based on the directional EMOO is applied to the RBF equalizer design. Computer simulation demonstrates that the new scheme can be used to derive RBF equalizers with good generalization capabilities, i.e., good performance on predicting the unseen samples.

Robust blind deconvolution algorithm: variance approximation and series decoupling

An alternative blind deconvolution algorithm for white-noise driven minimum phase systems is presented and verified by computer simulation. This algorithm uses a cost function based on a novel idea: variance approximation and series decoupling (VASD), and suggests that not all autocorrelation function values are necessary to implement blind deconvolution.

How predation and landscape fragmentation affect vole population dynamics

Background: Microtine species in Fennoscandia display a distinct north-south gradient from regular cycles to stable populations. The gradient has often been attributed to changes in the interactions between microtines and their predators. Although the spatial structure of the environment is known to influence predator-prey dynamics of a wide range of species, it has scarcely been considered in relation to the Fennoscandian gradient. Furthermore, the length of microtine breeding season also displays a north-south gradient. However, little consideration has been given to its role in shaping or generating population cycles. Because these factors covary along the gradient it is difficult to distinguish their effects experimentally in the field. The distinction is here attempted using realistic agent-based modelling. Methodology/Principal Findings: By using a spatially explicit computer simulation model based on behavioural and ecological data from the field vole (Microtus agrestis), we generated a number of repeated time series of vole densities whose mean population size and amplitude were measured. Subsequently, these time series were subjected to statistical autoregressive modelling, to investigate the effects on vole population dynamics of making predators more specialised, of altering the breeding season, and increasing the level of habitat fragmentation. We found that fragmentation as well as the presence of specialist predators are necessary for the occurrence of population cycles. Habitat fragmentation and predator assembly jointly determined cycle length and amplitude. Length of vole breeding season had little impact on the oscillations. Significance: There is good agreement between our results and the experimental work from Fennoscandia, but our results allow distinction of causation that is hard to unravel in field experiments. We hope our results will help understand the reasons for cycle gradients observed in other areas. Our results clearly demonstrate the importance of landscape fragmentation for population cycling and we recommend that the degree of fragmentation be more fully considered in future analyses of vole dynamics.