A simulation of integrated photovoltaic conversion into electric grid

This paper presents a systemic modeling for a PV system integrated into an electric grid. The modeling includes models for a DC-DC boost converter and a DC-AC two-level inverter. Classical or fuzzy PI controllers with pulse width modulation by space vector modulation associated with sliding mode control is used for controlling the PV system and power factor control is introduced at the output of the system. Comprehensive performance simulation studies are carried out with the modeling of the DC-DC boost converter followed by a two-level power inverter in order to compare the performance with the experimental results obtained during in situ operation with three commercial inverters. Also, studies are carried out to assess the quality of the energy injected into the electric grid in terms of harmonic distortion. Finally, conclusions regarding the integration of the PV system into the electric grid are presented. (C) 2014 Elsevier Ltd. All rights reserved.

Some applications of fractional calculus in engineering

Fractional Calculus FC goes back to the beginning of the theory of differential calculus. Nevertheless, the application of FC just emerged in the last two decades, due to the progress in the area of chaos that revealed subtle relationships with the FC concepts. In the field of dynamical systems theory some work has been carried out but the proposed models and algorithms are still in a preliminary stage of establishment. Having these ideas in mind, the paper discusses FC in the study of system dynamics and control. In this perspective, this paper investigates the use of FC in the fields of controller tuning, legged robots, redundant robots, heat diffusion, and digital circuit synthesis.

Fractional describing function of systems with nonlinear friction

This paper studies the describing function (DF) of systems consisting in a mass subjected to nonlinear friction. The friction force is composed in three components namely, the viscous, the Coulomb and the static forces. The system dynamics is analyzed in the DF perspective revealing a fractional-order behaviour. The reliability of the DF method is evaluated through the signal harmonic content and the limit cycle prediction.

Fractional describing function of systems with Coulomb friction

This paper studies the describing function (DF) of systems constituted by a mass subjected to nonlinear friction. The friction force is decomposed into two components, namely, the viscous and the Coulomb friction. The system dynamics is analyzed in the DF perspective revealing a fractional-order behavior. The reliability of the DF method is evaluated through the signal harmonic contents.

O balanced scorecard aplicado a uma pme do setor audiovisual

Mestrado em Contabilidade e Gestão das Instituições

Diagnosis of an EPS module

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica e Computadores

Numerical analysis of the initial conditions in fractional systems

Fractional dynamics is a growing topic in theoretical and experimental scientific research. A classical problem is the initialization required by fractional operators. While the problem is clear from the mathematical point of view, it constitutes a challenge in applied sciences. This paper addresses the problem of initialization and its effect upon dynamical system simulation when adopting numerical approximations. The results are compatible with system dynamics and clarify the formulation of adequate values for the initial conditions in numerical simulations.

Analysis of Forest Fires by means of Pseudo Phase Plane and Multidimensional Scaling Methods

Forest fires dynamics is often characterized by the absence of a characteristic length-scale, long range correlations in space and time, and long memory, which are features also associated with fractional order systems. In this paper a public domain forest fires catalogue, containing information of events for Portugal, covering the period from 1980 up to 2012, is tackled. The events are modelled as time series of Dirac impulses with amplitude proportional to the burnt area. The time series are viewed as the system output and are interpreted as a manifestation of the system dynamics. In the first phase we use the pseudo phase plane (PPP) technique to describe forest fires dynamics. In the second phase we use multidimensional scaling (MDS) visualization tools. The PPP allows the representation of forest fires dynamics in two-dimensional space, by taking time series representative of the phenomena. The MDS approach generates maps where objects that are perceived to be similar to each other are placed on the map forming clusters. The results are analysed in order to extract relationships among the data and to better understand forest fires behaviour.

O controlo da tuberculose em Portugal : uma apreciação crítica epidemiológica gl

RESUMO - Com tanto ruído informativo e peças de informação incompletas e descontextualizadas, relativos ao controlo da tuberculose em Portugal, a chegarem ao cidadão e aos profissionais de saúde, não é fácil que eles disponham do conhecimento necessário ao desempenho dos respectivos papéis nesse controlo. O presente artigo pretende contribuir para um ganho real em conhecimento quanto (1) ao progresso no controlo da tuberculose em Portugal, enquadrado na evolução desse controlo noutras regiões pertinentes, e (2) aos aspectos do conhecimento disponível e da intervenção na população portuguesa que suscitem especial atenção, para melhoria no futuro imediato. Tem como estratégia integrar, e elevar ao nível de conhecimento, a informação disponibilizada nas fontes mais credíveis e pertinentes, valorizada no contexto da validade das mesmas fontes e da coerência dos diversos componentes. Relata o resultado de um exercício independente de apreciação crítica, com uma perspectiva epidemiológica. São observados: a situação actual, sobretudo a relativa aos anos de 2006 e 2007, e o desempenho do Programa Nacional de Controlo da Tuberculose (PNT), ambos relativizados à evolução recente e ao panorama internacional. O exercício de observação e revisão independentes baseia-se numa selecção de informação oficial e segue o mesmo método de abordagem que a O.M.S. faz nos seus relatórios anuais, à semelhança de outros exercícios já antes realizados. O controlo da tuberculose tem prosseguido a sua tímida, mas firme, evolução favorável, aproximando-se do nível já conseguido nos países seus vizinhos da Europa Ocidental. Em 2007, Portugal contribuiu para os 9 milhões de casos novos anuais, estimados no mundo, com 2916 casos notificados. A este número corresponde a taxa de incidência notificada de 25,7 por 100 000 habitantes e uma redução de 14% em relação ao ano anterior. Esta evolução afigura-se animadora, ainda que seja desejável um impacte mais acentuado do PNT, conforme é de esperar considerando o grau de desenvolvimento do País. A taxa de detecção de casos novos estimada é elevada e continua uma das melhores da Europa Ocidental — o que desfavorece artificialmente a imagem notificada do País, relativamente aos países com pior capacidade de detecção. A taxa de sucesso terapêutico melhorou de novo, situando- -se acima da meta de 85% preconizada pela O.M.S, para um bom controlo da tuberculose. Uma das consequências importantes é que se consegue um melhor aproveitamento da detecção habitualmente alcançada. O conhecimento no seu conjunto aponta para que o grau de controlo possa e deva realmente ser melhorado, sendo imperiosa a discriminação positiva das áreas geográficas e dos grupos populacionais em que tende a concentrar-se a emergência de maior número de casos e de resistências aos medicamentos. Deverão assim ser reforçados selectivamente tanto os meios de detecção e de intervenção clínica, como a qualidade da organização local da intervenção, para o cumprimento efectivo da estratégia DOTS. Enquanto programa vertical que atravessa os diversos níveis do sistema de cuidados de saúde, o desempenho do PNT sofre os efeitos das atribulações desses serviços, sobretudo os de cuidados primários, funcionando como uma «situação-marcadora» quanto ao desempenho do sistema de saúde. A evidência é de que é nesta primeira linha de cuidados que se decide o sucesso na detecção e no tratamento dos casos de tuberculose, reflectindo-se também aí o grau de desenvolvimento social e os comportamentos das populações, por sua vez determinantes do risco de doença e do sucesso terapêutico. ------------------- ABSTRACT - It is not easy that both the citizen and health professionals get enabled with the required knowledge, in order do play the corresponding roles in the control of tuberculosis, considering all the information noise and incomplete, out of context information pieces about the subject, that reach them. This paper is envisaging to contribute for a real gain in knowledge, regarding: (1) the progress in tuberculosis control in Portugal, framed by the evolution of such control in other pertinent regions and (2) the available knowledge and intervention aspects in the Portuguese population that require a special attention, for improvement. The article’s strategy is to integrate, and raise to a knowledge level, information provided by the most accredited and pertinent sources, interpreted as a function of the validity context of the same sources and of the coherence of the several components. Two aspects are observed: the current situation, in particular concerning years 2006 and 2007, and the performance of the National Programme for the Tuberculosis Control (PNT), both made relative to the recent evolution and to the international panorama. This independent observation and revision exercise is based on a selection of official information and follows the same approach that the World Health Organization (W.H.O.) uses in its annual reports, like other similar exercises previously undertaken. The control of tuberculosis is evolving in a shy, but firm, fashion, getting closer to the level already attained by the neighbor countries, in Western Europe. Portugal has contributed with 2916 new notified cases, to the 9 million annual cases estimated in the world, in 2007. This number corresponds to an incidence rate, for notified cases, of 25.7 per 100000 population, and to a reduction of 14% in one year. Such evolution seems encouraging, although a greater impact of PNT is desirable, as expected in relation to the degree of the Country development. Estimated new cases detection rate is high and keeps being one of the best in Western Europe — and this artificially disadvantages the notified image of the Country, as compared with other countries having a worst detection capacity. Treatment success rate has improved again and it is above the 85% target proposed by W.H.O., so that a good control of the disease is achieved. One of the important consequences is a better use of the attained detection. Altogether, knowledge suggests that the degree of control can and must be in fact better; and that a positive discrimination of geographic areas and population groups, in which a greater number of new cases and drug resistances tend to concentrate, is mandatory. Therefore, either clinical detection and intervention resources, or the quality of the local intervention organization have to be reinforced, if a total fulfillment of DOTS strategy is to be obtained. As a vertical programme that crosses the several levels of the health care system, PNT performance suffers the effects of services tribulations, mainly primary care, thus acting as a «markersituation » as to this system performance. Evidence shows that it is in this first line of care that success in both detection and treatment of tuberculosis cases is decided; and that this level also reveals the degree of social developmen

Numerical analysis of the initial conditions in fractional systems

Fractional dynamics is a growing topic in theoretical and experimental scientific research. A classical problem is the initialization required by fractional operators. While the problem is clear from the mathematical point of view, it constitutes a challenge in applied sciences. This paper addresses the problem of initialization and its effect upon dynamical system simulation when adopting numerical approximations. The results are compatible with system dynamics and clarify the formulation of adequate values for the initial conditions in numerical simulations.

The Persistence of Memory

This paper analyzes several natural and man-made complex phenomena in the perspective of dynamical systems. Such phenomena are often characterized by the absence of a characteristic length-scale, long range correlations and persistent memory, which are features also associated to fractional order systems. For each system, the output, interpreted as a manifestation of the system dynamics, is analyzed by means of the Fourier transform. The amplitude spectrum is approximated by a power law function and the parameters are interpreted as an underlying signature of the system dynamics. The complex systems under analysis are then compared in a global perspective in order to unveil and visualize hidden relationships among them.

Dynamical Analysis and Visualization of Tornadoes Time Series

In this paper we analyze the behavior of tornado time-series in the U.S. from the perspective of dynamical systems. A tornado is a violently rotating column of air extending from a cumulonimbus cloud down to the ground. Such phenomena reveal features that are well described by power law functions and unveil characteristics found in systems with long range memory effects. Tornado time series are viewed as the output of a complex system and are interpreted as a manifestation of its dynamics. Tornadoes are modeled as sequences of Dirac impulses with amplitude proportional to the events size. First, a collection of time series involving 64 years is analyzed in the frequency domain by means of the Fourier transform. The amplitude spectra are approximated by power law functions and their parameters are read as an underlying signature of the system dynamics. Second, it is adopted the concept of circular time and the collective behavior of tornadoes analyzed. Clustering techniques are then adopted to identify and visualize the emerging patterns.

Analysis of Natural and Artificial Phenomena Using Signal Processing and Fractional Calculus

In this paper we study several natural and man-made complex phenomena in the perspective of dynamical systems. For each class of phenomena, the system outputs are time-series records obtained in identical conditions. The time-series are viewed as manifestations of the system behavior and are processed for analyzing the system dynamics. First, we use the Fourier transform to process the data and we approximate the amplitude spectra by means of power law functions. We interpret the power law parameters as a phenomenological signature of the system dynamics. Second, we adopt the techniques of non-hierarchical clustering and multidimensional scaling to visualize hidden relationships between the complex phenomena. Third, we propose a vector field based analogy to interpret the patterns unveiled by the PL parameters.

Fractional State Space Analysis of Temperature Time Series

Atmospheric temperatures characterize Earth as a slow dynamics spatiotemporal system, revealing long-memory and complex behavior. Temperature time series of 54 worldwide geographic locations are considered as representative of the Earth weather dynamics. These data are then interpreted as the time evolution of a set of state space variables describing a complex system. The data are analyzed by means of multidimensional scaling (MDS), and the fractional state space portrait (fSSP). A centennial perspective covering the period from 1910 to 2012 allows MDS to identify similarities among different Earth’s locations. The multivariate mutual information is proposed to determine the “optimal” order of the time derivative for the fSSP representation. The fSSP emerges as a valuable alternative for visualizing system dynamics.

Adaptive filtering for high quality HMM based speech synthesis

In this work an adaptive filtering scheme based on a dual Discrete Kalman Filtering (DKF) is proposed for Hidden Markov Model (HMM) based speech synthesis quality enhancement. The objective is to improve signal smoothness across HMMs and their related states and to reduce artifacts due to acoustic model's limitations. Both speech and artifacts are modelled by an autoregressive structure which provides an underlying time frame dependency and improves time-frequency resolution. Themodel parameters are arranged to obtain a combined state-space model and are also used to calculate instantaneous power spectral density estimates. The quality enhancement is performed by a dual discrete Kalman filter that simultaneously gives estimates for the models and the signals. The system's performance has been evaluated using mean opinion score tests and the proposed technique has led to improved results.