Teaching and evaluating mechanical vibrations with Matlab®

The study of the response of mechanical systems to external excitations, even in the simplest cases, involves solving second-order ordinary differential equations or systems thereof. Finding the natural frequencies of a system and understanding the effect of variations of the excitation frequencies on the response of the system are essential when designing mechanisms [1] and structures [2]. However, faced with the mathematical complexity of the problem, students tend to focus on the mathematical resolution rather than on the interpretation of the results. To overcome this difficulty, once the general theoretical problem and its solution through the state space [3] have been presented, Matlab®[4] and Simulink®[5] are used to simulate specific situations. Without them, the discussion of the effect of slight variations in input variables on the outcome of the model becomes burdensome due to the excessive calculation time required. Conversely, with the help of those simulation tools, students can easily reach practical conclusions and their evaluation can be based on their interpretation of results and not on their mathematical skills

Modelos para el análisis dinámico y la predicción a corto plazo de los precios de la electricidad en mercados liberalizados

En esta tesis se va a describir y aplicar de forma novedosa la técnica del alisado exponencial multivariante a la predicción a corto plazo, a un día vista, de los precios horarios de la electricidad, un problema que se está estudiando intensivamente en la literatura estadística y económica reciente. Se van a demostrar ciertas propiedades interesantes del alisado exponencial multivariante que permiten reducir el número de parámetros para caracterizar la serie temporal y que al mismo tiempo permiten realizar un análisis dinámico factorial de la serie de precios horarios de la electricidad. En particular, este proceso multivariante de elevada dimensión se estimará descomponiéndolo en un número reducido de procesos univariantes independientes de alisado exponencial caracterizado cada uno por un solo parámetro de suavizado que variará entre cero (proceso de ruido blanco) y uno (paseo aleatorio). Para ello, se utilizará la formulación en el espacio de los estados para la estimación del modelo, ya que ello permite conectar esa secuencia de modelos univariantes más eficientes con el modelo multivariante. De manera novedosa, las relaciones entre los dos modelos se obtienen a partir de un simple tratamiento algebraico sin requerir la aplicación del filtro de Kalman. De este modo, se podrán analizar y poner al descubierto las razones últimas de la dinámica de precios de la electricidad. Por otra parte, la vertiente práctica de esta metodología se pondrá de manifiesto con su aplicación práctica a ciertos mercados eléctricos spot, tales como Omel, Powernext y Nord Pool. En los citados mercados se caracterizará la evolución de los precios horarios y se establecerán sus predicciones comparándolas con las de otras técnicas de predicción. ABSTRACT This thesis describes and applies the multivariate exponential smoothing technique to the day-ahead forecast of the hourly prices of electricity in a whole new way. This problem is being studied intensively in recent statistics and economics literature. It will start by demonstrating some interesting properties of the multivariate exponential smoothing that reduce drastically the number of parameters to characterize the time series and that at the same time allow a dynamic factor analysis of the hourly prices of electricity series. In particular this very complex multivariate process of dimension 24 will be estimated by decomposing a very reduced number of univariate independent of exponentially smoothing processes each characterized by a single smoothing parameter that varies between zero (white noise process) and one (random walk). To this end, the formulation is used in the state space model for the estimation, since this connects the sequence of efficient univariate models to the multivariate model. Through a novel way, relations between the two models are obtained from a simple algebraic treatment without applying the Kalman filter. Thus, we will analyze and expose the ultimate reasons for the dynamics of the electricity price. Moreover, the practical aspect of this methodology will be shown by applying this new technique to certain electricity spot markets such as Omel, Powernext and Nord Pool. In those markets the behavior of prices will be characterized, their predictions will be formulated and the results will be compared with those of other forecasting techniques.

Non uniform embedding based on relevance analysis with reduced computational complexity: application to the detection of pathologies from biosignal recordings

Nonlinear analysis tools for studying and characterizing the dynamics of physiological signals have gained popularity, mainly because tracking sudden alterations of the inherent complexity of biological processes might be an indicator of altered physiological states. Typically, in order to perform an analysis with such tools, the physiological variables that describe the biological process under study are used to reconstruct the underlying dynamics of the biological processes. For that goal, a procedure called time-delay or uniform embedding is usually employed. Nonetheless, there is evidence of its inability for dealing with non-stationary signals, as those recorded from many physiological processes. To handle with such a drawback, this paper evaluates the utility of non-conventional time series reconstruction procedures based on non uniform embedding, applying them to automatic pattern recognition tasks. The paper compares a state of the art non uniform approach with a novel scheme which fuses embedding and feature selection at once, searching for better reconstructions of the dynamics of the system. Moreover, results are also compared with two classic uniform embedding techniques. Thus, the goal is comparing uniform and non uniform reconstruction techniques, including the one proposed in this work, for pattern recognition in biomedical signal processing tasks. Once the state space is reconstructed, the scheme followed characterizes with three classic nonlinear dynamic features (Largest Lyapunov Exponent, Correlation Dimension and Recurrence Period Density Entropy), while classification is carried out by means of a simple k-nn classifier. In order to test its generalization capabilities, the approach was tested with three different physiological databases (Speech Pathologies, Epilepsy and Heart Murmurs). In terms of the accuracy obtained to automatically detect the presence of pathologies, and for the three types of biosignals analyzed, the non uniform techniques used in this work lightly outperformed the results obtained using the uniform methods, suggesting their usefulness to characterize non-stationary biomedical signals in pattern recognition applications. On the other hand, in view of the results obtained and its low computational load, the proposed technique suggests its applicability for the applications under study.

Monte Carlo limit cycle characterization

The fixed point implementation of IIR digital filters usually leads to the appearance of zero-input limit cycles, which degrade the performance of the system. In this paper, we develop an efficient Monte Carlo algorithm to detect and characterize limit cycles in fixed-point IIR digital filters. The proposed approach considers filters formulated in the state space and is valid for any fixed point representation and quantization function. Numerical simulations on several high-order filters, where an exhaustive search is unfeasible, show the effectiveness of the proposed approach.

Acoustic study of the Compañía de Jesús church. Characterization by means of objective and subjective parameters

This work shows the objective results of the acoustic quality of the Compañia de Jesús Church in Cordoba, Argentina. The acoustics of this Temple, built by the Orden Jesuita (Jesuit Order) two centuries ago and declared a World Heritage Site by UNESCO in 2000, is currently considered optimal by musicians as well as general public. In the second half of XVI century, with the Catholic reform, the need for improved speech intelligibility was given priority, being the Jesuit one of the orders that gave most importance to the construction of their temples. This church has constructive and spatial characteristics consistent with those needs. With the purpose of carrying out the acoustic assessment of the precincts, a work methodology that allowed comparing the results obtained from objective measures was developed by means of implementation of field measurements and space modeling, with subjective appreciation results, by developing surveys, with the aim of characterizing acoustically the sound space. This paper shows the comparison between the subjective results and objective criteria, which allowed important conclusions on the acoustic behavior of the temple to be obtained. In this way interesting data were obtained in relation to the subjective response of the acoustics of the church.

Comment: Is memristor a dynamic element?

The authors present a charge/flux formulation of the equations of memristive circuits, which seemingly show that the memristor should not be considered as a dynamic circuit element. Here, is shown that this approach implicitly reduces the dynamic analysis to a certain subset of the state space in such a way that the dynamic contribution of memristors is hidden. This reduction might entail a substantial loss of information, regarding e.g. the local stability properties of the circuit. Two examples illustrate this. It is concluded that the memristor, even with its unconventional features, must be considered as a dynamic element.

Asymptotic optimality of RESTART estimators in highly dependable systems

Abstract We consider a wide class of models that includes the highly reliable Markovian systems (HRMS) often used to represent the evolution of multi-component systems in reliability settings. Repair times and component lifetimes are random variables that follow a general distribution, and the repair service adopts a priority repair rule based on system failure risk. Since crude simulation has proved to be inefficient for highly-dependable systems, the RESTART method is used for the estimation of steady-state unavailability and other reliability measures. In this method, a number of simulation retrials are performed when the process enters regions of the state space where the chance of occurrence of a rare event (e.g., a system failure) is higher. The main difficulty involved in applying this method is finding a suitable function, called the importance function, to define the regions. In this paper we introduce an importance function which, for unbalanced systems, represents a great improvement over the importance function used in previous papers. We also demonstrate the asymptotic optimality of RESTART estimators in these models. Several examples are presented to show the effectiveness of the new approach, and probabilities up to the order of 10-42 are accurately estimated with little computational effort.

Communication: Transition State Theory for dissipative systems without a dividing surface

Transition state theory is a central cornerstone in reaction dynamics. Its key step is the identification of a dividing surface that is crossed only once by all reactive trajectories. This assumption is often badly violated, especially when the reactive system is coupled to an environment. The calculations made in this way then overestimate the reaction rate and the results depend critically on the choice of the dividing surface. In this Communication, we study the phase space of a stochastically driven system close to an energetic barrier in order to identify the geometric structure unambiguously determining the reactive trajectories, which is then incorporated in a simple rate formula for reactions in condensed phase that is both independent of the dividing surface and exact.

Wave Statistics and Space-time Extremes via Stereo Imaging

We present an analysis of the space-time dynamics of oceanic sea states exploiting stereo imaging techniques. In particular, a novel Wave Acquisition Stereo System (WASS) has been developed and deployed at the oceanographic tower Acqua Alta in the Northern Adriatic Sea, off the Venice coast in Italy. The analysis of WASS video measurements yields accurate estimates of the oceanic sea state dynamics, the associated directional spectra and wave surface statistics that agree well with theoretical models. Finally, we show that a space-time extreme, defined as the expected largest surface wave height over an area, is considerably larger than the maximum crest observed in time at a point, in agreement with theoretical predictions.

Learning an L1-regularized Gaussian Bayesian Network in the Equivalence Class Space

Learning the structure of a graphical model from data is a common task in a wide range of practical applications. In this paper, we focus on Gaussian Bayesian networks, i.e., on continuous data and directed acyclic graphs with a joint probability density of all variables given by a Gaussian. We propose to work in an equivalence class search space, specifically using the k-greedy equivalence search algorithm. This, combined with regularization techniques to guide the structure search, can learn sparse networks close to the one that generated the data. We provide results on some synthetic networks and on modeling the gene network of the two biological pathways regulating the biosynthesis of isoprenoids for the Arabidopsis thaliana plant

Modeling of the Division Point of Different Propagation Mechanisms in the Near-Region Within Arched Tunnels

An accurate characterization of the near-region propagation of radio waves inside tunnels is of practical importance for the design and planning of advanced communication systems. However, there has been no consensus yet on the propagation mechanism in this region. Some authors claim that the propagation mechanism follows the free space model, others intend to interpret it by the multi-mode waveguide model. This paper clarifies the situation in the near-region of arched tunnels by analytical modeling of the division point between the two propagation mechanisms. The procedure is based on the combination of the propagation theory and the three-dimensional solid geometry. Three groups of measurements are employed to verify the model in different tunnels at different frequencies. Furthermore, simplified models for the division point in five specific application situations are derived to facilitate the use of the model. The results in this paper could help to deepen the insight into the propagation mechanism within tunnel environments.

Assessment of CTF boiling transition and critical heat flux modeling capabilities using the OECD/NRC BFBT and PSBT benchmark databases

The need to refine models for best-estimate calculations, based on good-quality experimental data, has been expressed in many recent meetings in the field of nuclear applications. The modeling needs arising in this respect should not be limited to the currently available macroscopic methods but should be extended to next-generation analysis techniques that focus on more microscopic processes. One of the most valuable databases identified for the thermalhydraulics modeling was developed by the Nuclear Power Engineering Corporation (NUPEC), Japan. From 1987 to 1995, NUPEC performed steady-state and transient critical power and departure from nucleate boiling (DNB) test series based on the equivalent full-size mock-ups. Considering the reliability not only of the measured data, but also other relevant parameters such as the system pressure, inlet sub-cooling and rod surface temperature, these test series supplied the first substantial database for the development of truly mechanistic and consistent models for boiling transition and critical heat flux. Over the last few years the Pennsylvania State University (PSU) under the sponsorship of the U.S. Nuclear Regulatory Commission (NRC) has prepared, organized, conducted and summarized the OECD/NRC Full-size Fine-mesh Bundle Tests (BFBT) Benchmark. The international benchmark activities have been conducted in cooperation with the Nuclear Energy Agency/Organization for Economic Co-operation and Development (NEA/OECD) and Japan Nuclear Energy Safety (JNES) organization, Japan. Consequently, the JNES has made available the Boiling Water Reactor (BWR) NUPEC database for the purposes of the benchmark. Based on the success of the OECD/NRC BFBT benchmark the JNES has decided to release also the data based on the NUPEC Pressurized Water Reactor (PWR) subchannel and bundle tests for another follow-up international benchmark entitled OECD/NRC PWR Subchannel and Bundle Tests (PSBT) benchmark. This paper presents an application of the joint Penn State University/Technical University of Madrid (UPM) version of the well-known subchannel code COBRA-TF, namely CTF, to the critical power and departure from nucleate boiling (DNB) exercises of the OECD/NRC BFBT and PSBT benchmarks

Ensayos acelerados de fiabilidad de células solares de concentración

SUMMARY Concentration Photovoltaic Systems (CPV) have been proposed as an alternative to conventional systems. During the last years, there has been a boom of the CPV industry caused by the technological progress in all the elements of the system. and mainly caused by the use of multijunction solar cells based on III-V semiconductors, with efficiencies exceeding to 43%. III-V solar cells have been used with high reliability results in a great number of space missions without concentration. However, there are no previous results regarding their reliability in concentration terrestrial applications, where the working conditions are completely different. This lack of experience, together with the important industrial interest, has generated the need to evaluate the reliability of the cells. For this reason, nowadays there are several research centers around the undertaking this task. The evaluation of the reliability of this type of devices by means of accelerated tests is especially problematic when they work at medium or high concentration, because it is practically impossible to emulate real working conditions of the cell inside climatic chambers. In fact, as far as we know, the results that appear in this Thesis are the first estimating the Activation Energy of the failure mechanism involved, as well as the warranty of the III-V concentrator solar cells tested here. To evaluate the reliability of III-V very high concentrator solar cells by means of accelerated tests, a variety of activities, described in this Thesis have been carried out. The First Part of the memory presents the theoretical part of the Doctoral Thesis. After the Introduction, chapter 2 presents the state of the art in degradation and reliability of CPV systems and solar cells. Chapter 3 introduces some reliability definitions and the application of specific statistical functions to the evaluation of the reliability and parameters. From these functions, important parameters will be calculated to be used later in the experimental results of Thesis. The Second Part of the memory contains the experimental. Chapter 4 shows the types of accelerated tests and the main goals pursuit with them when carried out over CPV systems and solar cells. In order to evaluate quantitatively the reliability of the III-V concentrator solar cells used in these tests, some modifications have been introduced which discussion will be tackled here. Based on this analysis the working plan of the tests carried out in this Doctoral Thesis is presented. Chapter 5 presents a new methodology as well as the necessary instrumentation to carry out the tests described here. This new methodology takes into account the adaptation, improvement and novel techniques needed to test concentrator solar cells. The core of this memory is chapter 6, which presents the results of the characterization of the cells during the accelerated life tests and the analysis of the aforementioned results with the purpose of getting quantitative values of reliability in real working conditions. The acceleration factor of the accelerated life tests, under nominal working conditions has been calculated. Accordingly, the validity of the methodology as well as the calculations based on the reliability assessment, have also been demonstrated. Finally, quantitative values of degradation, reliability and warranty of the solar cells under field nominal working conditions have been calculated. With the development of this Doctoral Thesis the reliability of very high concentrator GaAs solar cells of small area has been evaluated. It is very interesting to generalize the procedures described up to this point to III-V multijunction solar cells of greater area. Therefore, chapter 7 develops this generalization and introduces also a useful thermal modeling by means of finite elements of the test cells’ circuits. In the last chapter, the summary of the results and the main contributions of this Thesis are outlined and future research activities are identified. RESUMEN Los Sistemas Fotovoltaicos de Concentración (SFC) han sido propuestos como una alternativa a los sistemas convencionales de generación de energía. Durante los últimos años ha habido un auge de los SFC debido a las mejoras tecnológicas en todos los elementos del sistema, y principalmente por el uso de células multiunión III-V que superan el 43% de rendimiento. Las células solares III-V han sido utilizadas con elevada fiabilidad en aplicaciones espaciales sin concentración, pero no existe experiencia de su fiabilidad en ambiente terrestre a altos niveles de concentración solar. Esta falta de experiencia junto al gran interés industrial ha generado la necesidad de evaluar la fiabilidad de las células, y actualmente hay un significativo número de centros de investigación trabajando en esta área. La evaluación de la fiabilidad de este tipo de dispositivos mediante ensayos acelerados es especialmente problemática cuando trabajan a media o alta concentración por la casi imposibilidad de emular las condiciones de trabajo reales de la célula dentro de cámaras climáticas. De hecho, que sepamos, en los resultados de esta Tesis se evalúa por primera vez la Energía de Activación del mecanismo de fallo de las células, así como la garantía en campo de las células de concentración III-V analizadas. Para evaluar la fiabilidad de células solares III-V de muy alta concentración mediante ensayos de vida acelerada se han realizado diversas actividades que han sido descritas en la memoria de la Tesis. En la Primera Parte de la memoria se presenta la parte teórica de la Tesis Doctoral. Tras la Introducción, en el capítulo 2 se muestra el estado del arte en degradación y fiabilidad de células y Sistemas Fotovoltaicos de Concentración. En el capítulo 3 se exponen de forma resumida las definiciones de fiabilidad y funciones estadísticas que se utilizan para la evaluación de la fiabilidad y sus parámetros, las cuales se emplearán posteriormente en los ensayos descritos en este Tesis. La Segunda Parte de la memoria es experimental. En el capítulo 4 se describen los tipos y objetivos de los ensayos acelerados actualmente aplicados a SFC y a las células, así como las modificaciones necesarias que permitan evaluar cuantitativamente la fiabilidad de las células solares de concentración III-V. En base a este análisis se presenta la planificación de los trabajos realizados en esta Tesis Doctoral. A partir de esta planificación y debido a la necesidad de adaptar, mejorar e innovar las técnicas de ensayos de vida acelerada para una adecuada aplicación a este tipo de dispositivos, en el capítulo 5 se muestra la metodología empleada y la instrumentación necesaria para realizar los ensayos de esta Tesis Doctoral. El núcleo de la memoria es el capítulo 6, en él se presentan los resultados de caracterización de las células durante los ensayos de vida acelerada y el análisis de dichos resultados con el objetivo de obtener valores cuantitativos de fiabilidad en condiciones reales de trabajo. Se calcula el Factor de Aceleración de los ensayos acelerados con respecto a las condiciones nominales de funcionamiento a partir de la Energía de Activación obtenida, y se demuestra la validez de la metodología y cálculos empleados, que son la base de la evaluación de la fiabilidad. Finalmente se calculan valores cuantitativos de degradación, fiabilidad y garantía de las células en condiciones nominales en campo durante toda la vida de la célula. Con el desarrollo de esta Tesis Doctoral se ha evaluado la fiabilidad de células III-V de área pequeña, pero es muy interesante generalizar los procedimientos aquí desarrollados para las células III-V comerciales de área grande. Por este motivo, en el capítulo 7 se analiza dicha generalización, incluyendo el modelado térmico mediante elementos finitos de los circuitos de ensayo de las células. En el último capítulo se realiza un resume del trabajo y las aportaciones realizadas, y se identifican las líneas de trabajo a emprender en el futuro.

An Interval-based Multiobjective Approach to Feature Subset Selection Using Joint Modeling of Objectives and Variables

This paper studies feature subset selection in classification using a multiobjective estimation of distribution algorithm. We consider six functions, namely area under ROC curve, sensitivity, specificity, precision, F1 measure and Brier score, for evaluation of feature subsets and as the objectives of the problem. One of the characteristics of these objective functions is the existence of noise in their values that should be appropriately handled during optimization. Our proposed algorithm consists of two major techniques which are specially designed for the feature subset selection problem. The first one is a solution ranking method based on interval values to handle the noise in the objectives of this problem. The second one is a model estimation method for learning a joint probabilistic model of objectives and variables which is used to generate new solutions and advance through the search space. To simplify model estimation, l1 regularized regression is used to select a subset of problem variables before model learning. The proposed algorithm is compared with a well-known ranking method for interval-valued objectives and a standard multiobjective genetic algorithm. Particularly, the effects of the two new techniques are experimentally investigated. The experimental results show that the proposed algorithm is able to obtain comparable or better performance on the tested datasets.

Multi-objective Estimation of Distribution Algorithm Based on Joint Modeling of Objectives and Variables

This paper proposes a new multi-objective estimation of distribution algorithm (EDA) based on joint modeling of objectives and variables. This EDA uses the multi-dimensional Bayesian network as its probabilistic model. In this way it can capture the dependencies between objectives, variables and objectives, as well as the dependencies learnt between variables in other Bayesian network-based EDAs. This model leads to a problem decomposition that helps the proposed algorithm to find better trade-off solutions to the multi-objective problem. In addition to Pareto set approximation, the algorithm is also able to estimate the structure of the multi-objective problem. To apply the algorithm to many-objective problems, the algorithm includes four different ranking methods proposed in the literature for this purpose. The algorithm is applied to the set of walking fish group (WFG) problems, and its optimization performance is compared with an evolutionary algorithm and another multi-objective EDA. The experimental results show that the proposed algorithm performs significantly better on many of the problems and for different objective space dimensions, and achieves comparable results on some compared with the other algorithms.