Divididos por zero : um estudo sobre o caráter difuso do anonymous

Analisa elementos que caracterizam os grupos de manifestação política dispersos pelas redes e mídias digitais, a partir do caso do Anonymous, grupo cuja atuação política foge aos padrões convencionais de participação, contestação e ativismo. Sugere-se para a entidade o conceito de “grupos difusos”, visto que não há liderança unificada e nem centralização de suas ações. Além disso, o grupo não possui uma política claramente definida e nem atores identificados. Conclui-se que, ao favorecer a interação e permitir o espraiamento de mútuos padrões comportamentais, o grupo aparenta alcançar ainda mais cooperação do que os modelos tradicionais de manifestação política.

Marco civil brasileño : en español : Ley n°. 12.965, de 23 de abril de 2014, que estabelece los principios, garantías, derechos y deberes para el uso de la Internet en Brasil

Lei n. 12.965, de 23 de abril de 2014, que estabelece princípios, garantias, direitos e deveres para o uso da internet no Brasil.

Redes de doadores e financiamento político em 2014: distinguindo doações para candidatos, partidos e comitês financeiros nas eleições presidenciais brasileiras

Aplica a metodologia de Análise de Redes Sociais (ARS) para caracterizar o financiamento de campanhas nacionais brasileiras a partir das redes constituídas pelos doadores. Os resultados mostram diferenças nas estratégias de arrecadação dos partidos e maior consistência ideológica na formação da rede de doadores partidários, frente aos doadores a candidatos e aos comitês partidários.

Civil framework of the Internet : Law n°. 12.965, of April 23, 2014, which establishes the principles, guarantees, rights and duties for use of the Internet in Brazil

Traz atualizado o texto do Marco Civil Brasileiro da Internet, a Lei nº 12.965, de 23 de abril de 2014.

Ortsbezogene Informationen in Internet-Datenbanken - das Beispiel "Baltic SeaWeb"

Whoever in future will need information about a location or an area, either literature, measurement data, photos or administrative information, might only click on that spot on a screen map in the internet. A search programme started thereby will offer all available information in databanks. A step forward to such a solution, to the retrieval of location related literature and measurement data from different kinds of databanks, is presented by the project “Baltic Sea Web” (http://www.baltic.vtt.fi/ demonstrator/index.html). The basic idea was to make the available information about a certain location accessible via a link of their geographical coordinates, longitude and latitude, to a map in a web browser

Integración de internet en la didáctica de la asignatura "Conocimiento del medio" en el tercer ciclo de primaria

550 p.

Dinámicas en la producción de conocimiento : movilidad, redes y actividades de investigación en el mercosur, Chile y España

212 p.

Não mate o mensageiro : a internet e os protestos no Egito e no Brasil

Analisa o papel desempenhado pela internet nos protestos ocorridos recentemente no Egito e no Brasil.

Espionagem e internet

Prospecção histórica, desde os primórdios da espionagem tradicional até a espionagem cibernética, campo no qual a Internet adquiriu especial relevância devido à sua maior capacidade invasiva.

Laptops e internet nas escolas : o que aprendemos?

Analisa os resultados alcançados pelo Programa Um Computador por Aluno (Prouca), os erros e acertos do seu processo de implementação, bem como os aspectos relacionados à inclusão digital e aos impactos em sala de aula.

Metodología para la detección y localización de faltas en redes de distribución con puesta a tierra activa

pag. var.

Mathematical study of complex networks : brain, internet, and power grid

The dissertation is concerned with the mathematical study of various network problems. First, three real-world networks are considered: (i) the human brain network (ii) communication networks, (iii) electric power networks. Although these networks perform very different tasks, they share similar mathematical foundations. The high-level goal is to analyze and/or synthesis each of these systems from a “control and optimization” point of view. After studying these three real-world networks, two abstract network problems are also explored, which are motivated by power systems. The first one is “flow optimization over a flow network” and the second one is “nonlinear optimization over a generalized weighted graph”. The results derived in this dissertation are summarized below.

Brain Networks: Neuroimaging data reveals the coordinated activity of spatially distinct brain regions, which may be represented mathematically as a network of nodes (brain regions) and links (interdependencies). To obtain the brain connectivity network, the graphs associated with the correlation matrix and the inverse covariance matrix—describing marginal and conditional dependencies between brain regions—have been proposed in the literature. A question arises as to whether any of these graphs provides useful information about the brain connectivity. Due to the electrical properties of the brain, this problem will be investigated in the context of electrical circuits. First, we consider an electric circuit model and show that the inverse covariance matrix of the node voltages reveals the topology of the circuit. Second, we study the problem of finding the topology of the circuit based on only measurement. In this case, by assuming that the circuit is hidden inside a black box and only the nodal signals are available for measurement, the aim is to find the topology of the circuit when a limited number of samples are available. For this purpose, we deploy the graphical lasso technique to estimate a sparse inverse covariance matrix. It is shown that the graphical lasso may find most of the circuit topology if the exact covariance matrix is well-conditioned. However, it may fail to work well when this matrix is ill-conditioned. To deal with ill-conditioned matrices, we propose a small modification to the graphical lasso algorithm and demonstrate its performance. Finally, the technique developed in this work will be applied to the resting-state fMRI data of a number of healthy subjects.

Communication Networks: Congestion control techniques aim to adjust the transmission rates of competing users in the Internet in such a way that the network resources are shared efficiently. Despite the progress in the analysis and synthesis of the Internet congestion control, almost all existing fluid models of congestion control assume that every link in the path of a flow observes the original source rate. To address this issue, a more accurate model is derived in this work for the behavior of the network under an arbitrary congestion controller, which takes into account of the effect of buffering (queueing) on data flows. Using this model, it is proved that the well-known Internet congestion control algorithms may no longer be stable for the common pricing schemes, unless a sufficient condition is satisfied. It is also shown that these algorithms are guaranteed to be stable if a new pricing mechanism is used.

Electrical Power Networks: Optimal power flow (OPF) has been one of the most studied problems for power systems since its introduction by Carpentier in 1962. This problem is concerned with finding an optimal operating point of a power network minimizing the total power generation cost subject to network and physical constraints. It is well known that OPF is computationally hard to solve due to the nonlinear interrelation among the optimization variables. The objective is to identify a large class of networks over which every OPF problem can be solved in polynomial time. To this end, a convex relaxation is proposed, which solves the OPF problem exactly for every radial network and every meshed network with a sufficient number of phase shifters, provided power over-delivery is allowed. The concept of “power over-delivery” is equivalent to relaxing the power balance equations to inequality constraints.

Flow Networks: In this part of the dissertation, the minimum-cost flow problem over an arbitrary flow network is considered. In this problem, each node is associated with some possibly unknown injection, each line has two unknown flows at its ends related to each other via a nonlinear function, and all injections and flows need to satisfy certain box constraints. This problem, named generalized network flow (GNF), is highly non-convex due to its nonlinear equality constraints. Under the assumption of monotonicity and convexity of the flow and cost functions, a convex relaxation is proposed, which always finds the optimal injections. A primary application of this work is in the OPF problem. The results of this work on GNF prove that the relaxation on power balance equations (i.e., load over-delivery) is not needed in practice under a very mild angle assumption.

Generalized Weighted Graphs: Motivated by power optimizations, this part aims to find a global optimization technique for a nonlinear optimization defined over a generalized weighted graph. Every edge of this type of graph is associated with a weight set corresponding to the known parameters of the optimization (e.g., the coefficients). The motivation behind this problem is to investigate how the (hidden) structure of a given real/complex valued optimization makes the problem easy to solve, and indeed the generalized weighted graph is introduced to capture the structure of an optimization. Various sufficient conditions are derived, which relate the polynomial-time solvability of different classes of optimization problems to weak properties of the generalized weighted graph such as its topology and the sign definiteness of its weight sets. As an application, it is proved that a broad class of real and complex optimizations over power networks are polynomial-time solvable due to the passivity of transmission lines and transformers.