Festival de Innovación Educativa de la UPC. Ponente: Mg. Yuliana Meneses / El primer FIE de la UPC es un espacio de docentes para docentes, en donde se compartirán las estrategias innovadoras de aprendizaje que se han venido aplicando en los últimos meses de educación online. Es una oportunidad para intercambiar conocimiento, seguir aprendiendo y atrevernos a innovar como parte del proceso de enseñanza y aprendizaje.

Thesis (Ph. D.)--UCLA, 2009. / Vita. Includes bibliographical references (leaves 124-141).

A size-weight illusion (SWI) occurs when a large object and small object of equal mass but different volume are lifted and the small object is perceived as heavier than the large object. All previous studies of the SWI used similar coloured objects and found that individuals initially use more force to lift the large object, compared to the small object but then use similar forces for the two objects on subsequent lifts. In contrast to the change in lifting forces over trials, the perceptual illusion stays consistent across all trials. The goal of the current study was to determine if introducing different colours for the SWI stimuli could alter participants’ expectations about the masses of the two objects and therefore modify the perceptual SWI. Participants lifted SWI stimuli that were either identical in colour or stimuli of different colour.

Thesis (Ph. D.)--Carnegie Mellon University, 1995. / "September 29, 1995." Includes bibliographical references and index.

This thesis deals with the design of a helicopter with four rotors known as quadcopter. It describes the principles of operation and existing modifications. Part of the work is the selection of a suitable frame, remote control set, engines and propellers, battery, sensors for stabilization and detection of obstacles and microcontroller for their operation. The paper presents the concept of the specific copter design, design and simulation of printed circuit boards to their self-production, activation and testing. The final part of the thesis includes an economic assessment of the project and its comparison with competitors.

The submitted Master’s thesis deals with the general principle of the electric drives’ functioning and with the construction of a synchronous electric motor. A comparison of a linear drive and a rotary drive with rack and pinion system is provided, as well as an overview of common type linear drives. A mathematical model of a rotary synchronous motor, the Clark’s and Park’s transformation and the principle of vector control is explained. A method of the linear parameters’ conversion to the rotary equivalents is demonstrated. A block diagram to motor control is designed. The control quality is tested by various criteria. Lastly, there is a simulation provided on how the changes of motor’s parameters affect the control quality.

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This study focuses on realization of a Brain Computer Interface (BCI)for the paralyzed to control assistive environmental devices. For this purpose, different motor imagery tasks are classified using different signal processing methods. Specifically, band-pass filtering, Laplacian filtering, and common average reference (CAR) filtering areused to enhance the EEG signal. For feature extraction / Common Spatial Pattern (CSP), Power Spectral Density (PSD), and Principal Component Analysis (PCA) are tested. Linear Feature Normalization (LFN), Gaussian Feature Normalization (GFN), and Unit-norm Feature Vector Normalization (UFVN) are studied in Support Vector Machine (SVM) and Artificial Neural Network (ANN) classification. In order to evaluate and compare the performance of the methodologies, classification accuracy, Cohen&rsquo / s kappa coefficient, and Nykopp&rsquo / s information transfer are utilized. The first experiments on classifying motor imagery tasks are realized on the 3-class dataset (V) provided for BCI Competition III. Also, a 4-class problem is studied using the dataset (IIa) provided for BCI Competition IV. Then, 5 different tasks are studied in the METU Brain Research Laboratory to find the optimum number and type of tasks to control a motor imagery based BCI. Thereafter, an interface is designed for the paralyzed to control assistive environmental devices. Finally, a test application is implemented and online performance of the design is evaluated.

Two vehicular optimal control problems are visited. The first relates to the minimum lap time problem, which is of interest in racing and the second the minimum fuel problem, which is of great importance in commercial road vehicles. Historically, minimum lap time problems were considered impractical due to their slow solution times compared with the quasi-steady static (QSS) simulations. However, with increasing computational power and advancement of numerical algorithms, such problems have become an invaluable tool for the racing teams. To keep the solution times reasonable, much attention still has to be paid to the problem formulation. The suspension of a Formula One car is modelled using classical mechanics and a meta-model is proposed to enable its incorporation in the optimal control problem. The interactions between the aerodynamics and the suspension are thereby studied and various related parameters are optimised. Aerodynamics plays a crucial role in the performance of Formula One cars. The influence of a locally applied perturbation to the aerodynamic balance is investigated to determine if a compromise made in design can actually lead to lap time improvements. Various issues related to minimum lap time calculations are then discussed. With the danger of climate change and the pressing need to reduce emissions, improvements in fuel consumption are presently needed more than ever. A methodology is developed for fuel performance optimisation of a hybrid vehicle equipped with an undersized engine, battery and a flywheel. Rather than using the widely used driving cycles, a three-dimensional route is chosen and the optimal driving and power management strategy is found with respect to a time of arrival constraint. The benefits of a multi-storage configuration are thereby demonstrated. Finally, the nonlinear stability of a vehicle model described by rational vector fields is investigated using region of attraction (RoA) analysis. With the aid of sum-of-squares programming techniques, Lyapunov functions are found whose level sets act as an under-approximation to the RoA. The influence of different vehicle parameters and driving conditions on the RoA is studied.