Detecting periodicity with horizontal visibility graphs

The horizontal visibility algorithm was recently introduced as a mapping between time series and networks. The challenge lies in characterizing the structure of time series (and the processes that generated those series) using the powerful tools of graph theory. Recent works have shown that the visibility graphs inherit several degrees of correlations from their associated series, and therefore such graph theoretical characterization is in principle possible. However, both the mathematical grounding of this promising theory and its applications are in its infancy. Following this line, here we address the question of detecting hidden periodicity in series polluted with a certain amount of noise. We first put forward some generic properties of horizontal visibility graphs which allow us to define a (graph theoretical) noise reduction filter. Accordingly, we evaluate its performance for the task of calculating the period of noisy periodic signals, and compare our results with standard time domain (autocorrelation) methods. Finally, potentials, limitations and applications are discussed.

Low-complexity timing synchronization scheme for MB-OFDM UWB receiver based on sign-bit

A unified low complexity sign-bit correlation based symbol timing synchronization scheme for Multiband Orthogonal Frequency Division Multiplexing (MB-OFDM) Ultra Wideband (UWB) receiver system is proposed. By using the time domain sequence of the packet/frame synchronization preamble, the proposed scheme is in charge of detecting the upcoming MB-OFDM symbol and it estimates the exact boundary of the start of Fast Fourier Transform (FFT) window. The proposed algorithm is implemented by using an efficient Hardware-Software co-simulation methodology. The effectiveness of the proposed synchronization scheme and the optimization criteria is confirmed by hardware implementation results.

Vigilancia por análisis de ruido de los sensores de temperatura

En este proyecto se van a aplicar las técnicas de análisis de ruido para caracterizar la respuesta dinámica de varios sensores de temperatura, tanto termorresistencias de platino como de termopares. Estos sensores son imprescindibles para él correcto funcionamiento de las centrales nucleares y requieren vigilancia para garantizar la exactitud de las medidas. Las técnicas de análisis de ruido son técnicas pasivas, es decir, no afectan a la operación de la planta y permiten realizar una vigilancia in situ de los sensores. Para el caso de los sensores de temperatura, dado que se pueden asimilar a sistemas de primer orden, el parámetro fundamental a vigilar es el tiempo de respuesta. Éste puede obtenerse para cada una de las sondas por medio de técnicas en el dominio de la frecuencia (análisis espectral) o por medio de técnicas en el dominio del tiempo (modelos autorregresivos). Además de la estimación del tiempo de respuesta, se realizará una caracterización estadística de las sondas. El objetivo es conocer el comportamiento de los sensores y vigilarlos de manera que se puedan diagnosticar las averías aunque éstas estén en una etapa incipiente. ABSTRACT In this project we use noise analysis technique to study the dynamic response of RTDs (Resistant temperature detectors) and thermocouples. These sensors are essential for the proper functioning of nuclear power plants and therefore need to be monitored to guarantee accurate measurements. The noise analysis techniques do not affect plant operation and allow in situ monitoring of the sensors. Temperature sensors are equivalent to first order systems. In these systems the main parameter to monitor is the response time which can be obtained by means of techniques in the frequency domain (spectral analysis) as well as time domain (autoregressive models). Besides response time estimation the project will also include a statistical study of the probes. The goal is to understand the behavior of the sensors and monitor them in order to detect any anomalies or malfunctions even if they occur in an early stage.

Estudio teórico y simulación de un OTDR para sistemas de comunicaciones por fibra óptica

El reflectómetro óptico en el dominio del tiempo, conocido por sus siglas en inglés como OTDR, es un dispositivo muy utilizado en sistemas de comunicaciones por fibra óptica para conocer de una manera rápida y sencilla como varía la potencia óptica a lo largo de la fibra óptica, siendo otro de sus usos frecuentes la localización de fallos y roturas en un enlace. Este proyecto fin de carrera, consiste en la realización mediante Matlab de una interfaz gráfica que permite simular un OTDR para distintos tipos de fibras, conectores y empalmes visualizándose por pantalla la variación de la potencia óptica en función de la distancia, pudiendo ampliar cualquier tramo del enlace que se desee visualizar con mayor detalle. Los objetivos del proyecto podemos establecerlos en dos partes. Primero, realizar una interfaz que nos permita diseñar un enlace de fibra óptica de forma sencilla, permitiendo además medir desde la atenuación de la fibra a la de un empalme. En segundo lugar, emplear la interfaz desarrollada para comprobar conceptos teóricos, haciendo hincapié en los principales errores de un enlace de fibra óptica real. Para una mejor visualización y concepción de lo implementado, es necesario revisar los principios básicos de funcionamiento de la fibra óptica y las principales características de un enlace, así como, los distintos dispositivos que lo componen, para después explicar el funcionamiento del OTDR y sus usos; por ello, en los capítulos segundo y tercero, se explican estas nociones básicas, necesarias para un mejor entendimiento del proyecto. Para poder utilizar la interfaz gráfica de usuario, el capítulo cuarto muestra la descripción de las funciones con parámetros, así como el manual de usuario de la interfaz gráfica. En el capítulo quinto se hace una recopilación y estudios de resultados para distintas simulaciones comprobando desde casos sencillos a casos extremos en los que se debe prestar una especial atención a los elementos que componen el enlace, siendo finalmente, en el sexto capítulo donde se presentan distintas conclusiones así como posibles trabajos futuros, a partir de lo realizado. ABSTRACT. The optical time domain reflectometer, known as OTDR, is a widely used device in systems for fiber optic communications used to know quick and simply how the optical power its varying along the fiber, with particular emphasis to another of its frequent uses in troubleshooting on a link. This final project consists in carrying through a graphical interface in Matlab to simulate an OTDR for different types of fibers, connectors and splices, visualizing the variation of optical power as a function of the distance. It is possible to zoom in specific sections to view them with greater detail. The project objectives can be set in two parts: - Make an interface that allows us to design a fiber optic link easily and measuring from the fiber attenuation to a splice one. - Use the interface developed to test theoretical concepts, emphasizing the most important mistakes of a real optical fiber link. For better visualization and understanding of what it’s been implemented, it is necessary to review the basic operating principles of fiber optics and the main characteristics of a fiber link, and also the different types of devices that comprise it, and then explaining also how the OTDR works and its uses, therefore, in second and third chapters, explains these basics needed for a better understanding of the project. To use the GUI, the fourth chapter shows the description of the functions with parameters and the user manual of the GUI. The fifth chapter is a compilation and study of some simulation results for simple cases to check from simply to extreme cases putting special attention to the elements that make up the link. To sum up, in the sixth chapter will appear different conclusions and possible future works for improving the graphical interface or making a new one.

Optical detection of mealiness in apples using laser TDRS.

Mealiness is a textural attribute related to an internal fruit disorder that involves quality loss. It is characterised by the combination of abnormal softness of the fruit and absence of free juiciness in the mouth when eaten by the consumer. Recent research concluded with the development of precise instrumental procedure to measure a scale of mealiness based on the combination of several rheological properties and empirical magnitudes. In this line, time-domain laser reflectance spectroscopy (TDRS) is a new medical technology, used to characterise the optical properties of tissues, and to locate affected areas like tumours. Among its advantages compared to more traditional spectroscopic techniques, there is the feasibility to asses simultaneously and independently two optical parameters: the absorption of the light inside the irradiated body, and the scattering of the photons across the tissues, at each wavelength, generating two coefficients (µa, absorption coeff.; and µ's, transport scattering coeff.). If it is assumed that they are related respectively to chemical components and to physical properties of the sample, TDRS can be applied to the quantification of chemicals and the measurement of the rheological properties (i.e. mealiness estimation) at the same time. Using VIS & NIR lasers as light sources, TDRS was applied in this work to Golden Delicious and Cox apples (n=90), conforming several batches of untreated samples and storage-treated (20°C & 95%RH) to promote the development of mealiness. The collected database was clustered into different groups according to their instrumental test values (Barreiro et al, 1998). The optical coefficients were used as explanatory variables when building discriminant analysis functions for mealiness, achieving a classification score above 80% of correctly identified mealy versus fresh apples.

A model of the spatially dependent mechanical properties of the axon during its growth

Neuronal growth is a complex process involving many intra- and extracellular mechanisms which are collaborating conjointly to participate to the development of the nervous system. More particularly, the early neocortical development involves the creation of a multilayered structure constituted by neuronal growth (driven by axonal or dendritic guidance cues) as well as cell migration. The underlying mechanisms of such structural lamination not only implies important biochemical changes at the intracellular level through axonal microtubule (de)polymerization and growth cone advance, but also through the directly dependent stress/stretch coupling mechanisms driving them. Efforts have recently focused on modeling approaches aimed at accounting for the effect of mechanical tension or compression on the axonal growth and subsequent soma migration. However, the reciprocal influence of the biochemical structural evolution on the mechanical properties has been mostly disregarded. We thus propose a new model aimed at providing the spatially dependent mechanical properties of the axon during its growth. Our in-house finite difference solver Neurite is used to describe the guanosine triphosphate (GTP) transport through the axon, its dephosphorylation in guanosine diphosphate (GDP), and thus the microtubules polymerization. The model is calibrated against experimental results and the tensile and bending mechanical stiffnesses are ultimately inferred from the spatially dependent microtubule occupancy. Such additional information is believed to be of drastic relevance in the growth cone vicinity, where biomechanical mechanisms are driving axonal growth and pathfinding. More specifically, the confirmation of a lower stiffness in the distal axon ultimately participates in explaining the controversy associated to the tensile role of the growth cone.

Detección óptica de harinosidad en manzana mediante una nueva técnica láser.

Mealiness, a textural disorder that produces quality loss, combines softness and absence of juiciness. The only one (destructive) test to measure it, combines information from a mechanical test on fruit probes to classify the samples according to instrumental mealiness. Time-domain laser reflectance spectroscopy (TDRS) is able to assess simultaneously and independently the absorption of the light inside the irradiated body (µa coefficient) and the scattering of the photons across the tissues (µS, transport scattering coeff.) measured at each wavelength. Using VIS&NIR lasers as light sources, TDRS was applied to Golden Delicious and Cox apples (n=90), conforming batches of untreated samples and storage-treated (20°C&95%RH) to induce mealiness development. The collected database was clustered into different groups according to their instrumental mealiness. Optical variables were used to build discriminant functions, achieving classification scores 75-89% of correctly identified mealy apples.