Comunicação Android com câmaras ONVIF e gestão de Perfis de Media

Dissertação de mestrado integrado em Engenharia de Telecomunicações e Informática

Evaluation of geostatistical techniques to estimate the spatial distribution of aboveground biomass in the Amazon rainforest using high-resolution remote sensing data

ABSTRACT The spatial distribution of forest biomass in the Amazon is heterogeneous with a temporal and spatial variation, especially in relation to the different vegetation types of this biome. Biomass estimated in this region varies significantly depending on the applied approach and the data set used for modeling it. In this context, this study aimed to evaluate three different geostatistical techniques to estimate the spatial distribution of aboveground biomass (AGB). The selected techniques were: 1) ordinary least-squares regression (OLS), 2) geographically weighted regression (GWR) and, 3) geographically weighted regression - kriging (GWR-K). These techniques were applied to the same field dataset, using the same environmental variables derived from cartographic information and high-resolution remote sensing data (RapidEye). This study was developed in the Amazon rainforest from Sucumbíos - Ecuador. The results of this study showed that the GWR-K, a hybrid technique, provided statistically satisfactory estimates with the lowest prediction error compared to the other two techniques. Furthermore, we observed that 75% of the AGB was explained by the combination of remote sensing data and environmental variables, where the forest types are the most important variable for estimating AGB. It should be noted that while the use of high-resolution images significantly improves the estimation of the spatial distribution of AGB, the processing of this information requires high computational demand.

Multifunctional Ti–Me (Me=Al, Cu) thin film systems for biomedical sensing devices

Ti-Me binary intermetallic thin films based on a titanium matrix doped with increasing amounts of Me (Me = Al, Cu) were prepared by magnetron sputtering (under similar conditions), aiming their application in biomedical sensing devices. The differences observed on the composition and on the micro(structural) features of the films, attributed to changes in the discharge characteristics, were correlated with the electrical properties of the intermetallic systems (Ti-Al and Ti-Cu). For the same Me exposed areas placed on the Ti target (ranging from 0.25 cm2 to 20 cm2) the Cu content increased from 3.5 at.% to 71.7 at.% in the Ti-Cu system and the Al content, in Ti-Al films, ranged from 11 to 45 at.%. The structural characterization evidenced the formation of metastable Ti-Me intermetallic phases for Al/Ti atomic ratios above 0.20 and for Cu/Ti ratios above 0.25. For lower Me concentrations, the effect of the α-Ti(Me) structure domains the overall structure. With the increase amount of the Me into Ti structure a clear trend for amorphization was observed. For both systems it was observed a significant decrease of the electrical resistivity with increasing Me/Ti atomic ratios (higher than 0.5 for Al/Ti atomic ratio and higher than 1.3 for Cu/Ti atomic ratio). Although similar trends were observed in the resistivity evolution for both systems, the Ti-Cu films presented lower resistivity values in comparison to Ti-Al system.

Aplicação móvel android de apoio a gestão de empréstimos e reservas das bibliotecas da Universidade do Minho

Dissertação de mestrado integrado em Engenharia de Telecomunicações e Informática

Plataforma de Telemedicina utilizando Android OS

Las enfermedades crónicas, especialmente enfermedades del corazón, diabetes, pulmonares, son un problema que tiene un impacto dramático en la productividad de las personas afectadas y en el costo de la asistencia sanitaria. Además, en personas de edad avanzada que pueden sufrir caídas por el deterioro de su sistema de locomoción resultaría adecuado el registro permanente del movimiento. Esto es especialmente necesario para aquellos que viven solos y/o en zonas rurales, donde los sistemas de salud pública no llegan, o lo hacen de manera deficiente. Por ello, en zonas rurales es previsible que se produzca un aumento de la demanda de atención a través de sistemas de telemedicina, lo cual, estimulará a pequeñas instituciones de salud a ofrecer este tipo de servicio. Algunos trabajos recientes sugieren que la tecnología móvil para la telemedicina podría reducir costos y mejorar la eficacia del tratamiento de enfermedades. En este trabajo se propone un sistema de telemedicina de bajo costo para monitorear parámetros fisiológicos (ECG y parámetros biomecánicos) en forma remota, desde zonas rurales o urbanas, utilizando telefonía móvil con sistema operativo Android y un servidor remoto para el almacenamiento masivo de datos. Se utiliza un sistema embebido con microcontrolador ColdFire V1 de 32 bits de la Empresa Freescale para adquirir las señales fisiológicas y biomecánicas, y enviarlas al dispositivo móvil a través del protocolo Bluetooth. Los datos adquiridos en el sistema móvil son almacenados masivamente en la tarjeta de memoria flash en forma local; y luego son enviados al servidor remoto por medio de GPRS u otro tipo de conexión a internet. Los parámetros son visualizados en la pantalla del teléfono móvil y en el servidor remoto, permitiendo el análisis y diagnóstico. Se evalúa la calidad de la transmisión de datos y la performance del sistema

Development of sensing systems for environmental monitoring

This project focused on the investigation and the development of a chemical sensing system for the determination of chromium Cr6+ and a bio-reactor followed by electrochemical detection at a glassy carbon electrode, for the determination of organochlorine compounds. The conjugation of Cr6+ with 1,5-diphenylcarbazide was studied at various types of electrodes such as glassy carbon, ultra-trace epoxy-graphite, chemically or un-modified carbon-paste and dropping-mercury. The cyclic voltammetric behaviour of the complex was also investigated. In addition, the possibility of developing a chemical sensor, Le. an electrochemical probe capable of sensing Cr6+ through its complexation with 1,5-diphenylacarbazide was studied. The conjugations of l-chloro-2,4-dinitrobenzene, 2,4-dichloronitrobenzene and ethacrynic, which are electrophilic organochlorine compounds, with reduced glutathione, were studied in order to test the bioreactor developed, based on the immobilisation of glutathione s-transferase. This was carried out at different types of electrodes such as glassy-carbon, gold, silver, platinum, epoxy-graphite, hangingmercury, and ferrocene-modified rotating-disc electrodes.

Konzeption einer Benutzerschnittstelle sowie Realisierung von Usability– und UI-Tests im Rahmen der prototypischen Entwicklung einer Android-App für eine Crowdtesting-Plattform

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Von der Webseite zur mobilen Anwendung für die Google Android Plattform am Beispiel von www.ab-in-den-urlaub.de

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Entwicklung einer Kochbuch-App für Android-Smartphones

In dieser Arbeit wird beschrieben, was Andoid ist, welche Bestandteile es hat und wie man diese einsetzen kann. Dies wird speziell am Beispiel einer Rezeptbuch-App verdeutlicht. Dabei wird speziell auf die Bedürfnisse veganer Menschen eingegangen. Nach der Einleitung werden in Abschnitt 3 die Grundlagen in Bezug auf Android erläutert. Es wird auf die Entstehung sowie die Verbreitung von Android als Plattform eingegangen. Es wird dabei auf Bestandteile der Benutzeroberflächen sowie auf interne Elemente eingegangen. Im darauf folgenden Abschnitt wird ein Konzept für die Rezeptbuch-App entwickelt. Dabei wird auf alle hauptsächlichen Abschnitte der App eingegangen. Im Abschnitt der Realisierung wird dann an praktischen Beispielen gwzwigt, wie eine App mithilfe der von Android gelieferten Komponenten erzeugt werden kann.

A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification

Defining an efficient training set is one of the most delicate phases for the success of remote sensing image classification routines. The complexity of the problem, the limited temporal and financial resources, as well as the high intraclass variance can make an algorithm fail if it is trained with a suboptimal dataset. Active learning aims at building efficient training sets by iteratively improving the model performance through sampling. A user-defined heuristic ranks the unlabeled pixels according to a function of the uncertainty of their class membership and then the user is asked to provide labels for the most uncertain pixels. This paper reviews and tests the main families of active learning algorithms: committee, large margin, and posterior probability-based. For each of them, the most recent advances in the remote sensing community are discussed and some heuristics are detailed and tested. Several challenging remote sensing scenarios are considered, including very high spatial resolution and hyperspectral image classification. Finally, guidelines for choosing the good architecture are provided for new and/or unexperienced user.

Structured output SVM for remote sensing image classification

In the recent years, kernel methods have revealed very powerful tools in many application domains in general and in remote sensing image classification in particular. The special characteristics of remote sensing images (high dimension, few labeled samples and different noise sources) are efficiently dealt with kernel machines. In this paper, we propose the use of structured output learning to improve remote sensing image classification based on kernels. Structured output learning is concerned with the design of machine learning algorithms that not only implement input-output mapping, but also take into account the relations between output labels, thus generalizing unstructured kernel methods. We analyze the framework and introduce it to the remote sensing community. Output similarity is here encoded into SVM classifiers by modifying the model loss function and the kernel function either independently or jointly. Experiments on a very high resolution (VHR) image classification problem shows promising results and opens a wide field of research with structured output kernel methods.