A fusão de dois mundos: convergência do mundo real e digital nas acções de marketing na rede

No passado, as acções publicitárias eram rotuladas como above the line e below the line, referindo-se à dicotomia de pontos de contacto com os públicos-alvo via Meios de Comunicação Social ou via Ponto de Venda. A esta dicotomia de meios e instrumentos, os anos 90 vieram trazer um terceiro ponto de contacto, crescentemente omnipresente e hegemónico, a world wide web ou rede, a que se acedia via computador. As acções de marketing e comunicação passaram então a rotular-se como online e offline, passando, não já a referir-se aos pontos de contacto, mas aos canais pelos quais circulavam as mensagens e acções das marcas. Desde o início deste século, o poder do digital veio crescendo, em software e hardware, em terminais e tecnologias, assistindo-se a uma transferência de esforços de comunicação, da esfera real para a esfera do digital. O deslumbramento pelo digital conquistou mesmo algumas marcas de dimensão mundial que hoje apostam integralmente o seu orçamento nesta forma de marketing, nas suas múltiplas facetas. Contudo, e porque se tem tornado óbvio que os públicos distribuem os seus favores por múltiplos touch points, para maximizar o impacto, assiste-se agora a um fenómeno único, potenciado por novas tecnologias que surgem todos os dias: em estratégias que se podem denominar de all-line, verifica-se a fusão entre dois mundos, mundo real e mundo digital, em múltiplas actividades de marketing que fazem convergir estas duas realidades em plataformas que vão do computador ao tablet, do smartphone à vending machine interactiva, do facebook ao Google maps, da imprensa tradicional ao pinterest. É esta convergência mundo real - mundo digital que abre agora novas oportunidades à comunicação publicitária, potenciando os ingredientes das marcas de sucesso no futuro: sensações (estímulo dos sentidos), intimidade e mistério, num cocktail suportado por uma nova criatividade.

Water quality in lakes and reservoirs in China

Dissertation elaborated for the partial fulfilment of the requirements of the Master Degree in Civil Engineering in the Speciality Area of Hydarulics

GAZ_PT: gazetteer português

Com o aumento de utilização de sistemas de informação geográfica na internet, surge a distribuição de informação georreferenciada e procedimentos para a sua manipulação, estando o acesso a esta informação disponível em vários tipos de dispositivos, a partir de qualquer localização e a qualquer utilizador. Tipicamente, a informação geográfica é obtida e tratada por empresas especializadas. O papel dos utilizadores resume-se, na maior parte dos casos, a meros consumidores dessa informação. Neste trabalho é proposto uma plataforma especializada para localizações portuguesas, em que os utilizadores de forma colaborativa podem enriquecer(acrescentando, actualizando e removendo) um determinado conjunto de dados geográficos. Esta plataforma pretende dar suporte a web sites que pretendam disponibilizar informação georreferenciada de elementos de uma determinada categoria e de uma determinada zona geográfica. Colocar um mapa num web site, com as ferramentas disponibilizadas por algumas empresas como a Microsof(http://maps.live.com/) e o Google (http://maps.google.com/), é relativamente fácil, mas o mapa sem conteúdo não terá grande interesse, o processo de aquisição da informação pode ser demorado pois pode requerer bastante trabalho e somente estará actualizado aquando da elaboração. A plataforma proposta pretende ajudar nessa tarefa através de um repositório central que é gerido e acedido colaborativamente, permitido obter somente a informação pretendida, da categoria pretendida e para a zona geográfica pretendida. A plataforma proposta, juntamente com as funcionalidades disponibilizadas por empresas como a Microsoft e o Google, permitem de forma simples disponibilizar em Web sites mapas com a informação que possa ser útil aos utilizadores desse web site.

Toplological Entropy in the Syncronization of Piecewise Linear and Monotone Maps. Coupled Duffing Oscillators

In this paper is presented a relationship between the synchronization and the topological entropy. We obtain the values for the coupling parameter, in terms of the topological entropy, to achieve synchronization of two unidirectional and bidirectional coupled piecewise linear maps. In addition, we prove a result that relates the synchronizability of two m-modal maps with the synchronizability of two conjugated piecewise linear maps. An application to the unidirectional and bidirectional coupled identical chaotic Duffing equations is given. We discuss the complete synchronization of two identical double-well Duffing oscillators, from the point of view of symbolic dynamics. Working with Poincare cross-sections and the return maps associated, the synchronization of the two oscillators, in terms of the coupling strength, is characterized.

Genus and Braid Index Associated to Sequences of Renormalizable Lorenz Maps

We describe the Lorenz links generated by renormalizable Lorenz maps with reducible kneading invariant (K(f)(-), = K(f)(+)) = (X, Y) * (S, W) in terms of the links corresponding to each factor. This gives one new kind of operation that permits us to generate new knots and links from the ones corresponding to the factors of the *-product. Using this result we obtain explicit formulas for the genus and the braid index of this renormalizable Lorenz knots and links. Then we obtain explicit formulas for sequences of these invariants, associated to sequences of renormalizable Lorenz maps with kneading invariant (X, Y) * (S,W)*(n), concluding that both grow exponentially. This is specially relevant, since it is known that topological entropy is constant on the archipelagoes of renormalization.

Arrow plot and CA maps on microarray preprocessing methods

Microarray allow to monitoring simultaneously thousands of genes, where the abundance of the transcripts under a same experimental condition at the same time can be quantified. Among various available array technologies, double channel cDNA microarray experiments have arisen in numerous technical protocols associated to genomic studies, which is the focus of this work. Microarray experiments involve many steps and each one can affect the quality of raw data. Background correction and normalization are preprocessing techniques to clean and correct the raw data when undesirable fluctuations arise from technical factors. Several recent studies showed that there is no preprocessing strategy that outperforms others in all circumstances and thus it seems difficult to provide general recommendations. In this work, it is proposed to use exploratory techniques to visualize the effects of preprocessing methods on statistical analysis of cancer two-channel microarray data sets, where the cancer types (classes) are known. For selecting differential expressed genes the arrow plot was used and the graph of profiles resultant from the correspondence analysis for visualizing the results. It was used 6 background methods and 6 normalization methods, performing 36 pre-processing methods and it was analyzed in a published cDNA microarray database (Liver) available at http://genome-www5.stanford.edu/ which microarrays were already classified by cancer type. All statistical analyses were performed using the R statistical software.

Synchronization and Basins of Synchronized in Two-Dimensional Piecewise Maps Via Coupling Three Pieces of One-Dimensional Maps

This paper is devoted to the synchronization of a dynamical system defined by two different coupling versions of two identical piecewise linear bimodal maps. We consider both local and global studies, using different tools as natural transversal Lyapunov exponent, Lyapunov functions, eigenvalues and eigenvectors and numerical simulations. We obtain theoretical results for the existence of synchronization on coupling parameter range. We characterize the synchronization manifold as an attractor and measure the synchronization speed. In one coupling version, we give a necessary and sufficient condition for the synchronization. We study the basins of synchronization and show that, depending upon the type of coupling, they can have very different shapes and are not necessarily constituted by the whole phase space; in some cases, they can be riddled.

Scaling law in Saddle-node bifurcations for one-dimensional maps: A complex variable approach

The study of transient dynamical phenomena near bifurcation thresholds has attracted the interest of many researchers due to the relevance of bifurcations in different physical or biological systems. In the context of saddle-node bifurcations, where two or more fixed points collide annihilating each other, it is known that the dynamics can suffer the so-called delayed transition. This phenomenon emerges when the system spends a lot of time before reaching the remaining stable equilibrium, found after the bifurcation, because of the presence of a saddle-remnant in phase space. Some works have analytically tackled this phenomenon, especially in time-continuous dynamical systems, showing that the time delay, tau, scales according to an inverse square-root power law, tau similar to (mu-mu (c) )(-1/2), as the bifurcation parameter mu, is driven further away from its critical value, mu (c) . In this work, we first characterize analytically this scaling law using complex variable techniques for a family of one-dimensional maps, called the normal form for the saddle-node bifurcation. We then apply our general analytic results to a single-species ecological model with harvesting given by a unimodal map, characterizing the delayed transition and the scaling law arising due to the constant of harvesting. For both analyzed systems, we show that the numerical results are in perfect agreement with the analytical solutions we are providing. The procedure presented in this work can be used to characterize the scaling laws of one-dimensional discrete dynamical systems with saddle-node bifurcations.

Personalized public transportation information

Thesis to obtain the Master of Science Degree in Computer Science and Engineering

Enhanced PCA-based localization using depth maps with missing data

In this paper a new method for self-localization of mobile robots, based on a PCA positioning sensor to operate in unstructured environments, is proposed and experimentally validated. The proposed PCA extension is able to perform the eigenvectors computation from a set of signals corrupted by missing data. The sensor package considered in this work contains a 2D depth sensor pointed upwards to the ceiling, providing depth images with missing data. The positioning sensor obtained is then integrated in a Linear Parameter Varying mobile robot model to obtain a self-localization system, based on linear Kalman filters, with globally stable position error estimates. A study consisting in adding synthetic random corrupted data to the captured depth images revealed that this extended PCA technique is able to reconstruct the signals, with improved accuracy. The self-localization system obtained is assessed in unstructured environments and the methodologies are validated even in the case of varying illumination conditions.