As contribuições da interação entre os órgãos públicos para a afetividade do Sistema de Justiça Criminal: uma análise segundo as teorias de redes

Este trabalho investiga as contribuições da interação entre os órgãos públicos para a efetividade do Sistema de Justiça Criminal, à luz dos atores envolvidos e tendo como arcabouço conceitual as teorias de redes interorganizacionais, notadamente redes de políticas públicas. O estudo foi orientado pela suposição inicial de que a atuação em rede pode proporcionar melhores resultados para a administração pública, comparativamente àqueles obtidos com as instituições trabalhando isoladamente. A literatura sobre o tema apresenta que, dentre outras vantagens, redes podem ser mais apropriadas para lidar com problemas complexos, proporcionando mais flexibilidade que as hierarquias, complementaridade nas ações e incentivo à colaboração. Por outro lado, aponta limitações de ordem gerencial ou relacionadas a prestação de contas e responsabilização, a questões legais e culturais, a conflitos de interesses e ao poder. Para a obtenção de dados empíricos, foram entrevistados Delegados de Polícia Federal, Peritos Criminais Federais, Auditores Federais de Controle Externo, Analistas de Finanças e Controle e Procuradores da República, todos detentores de função de gestão. Mediante a categorização dos depoimentos colhidos na pesquisa de campo foi possível sintetizar a percepção dos entrevistados, o que revelou que, corroborando os atributos identificados na literatura, vários são os benefícios da atuação em rede. Mas, do mesmo modo que verificado na literatura, os entrevistados igualmente destacaram que redes apresentam muitos desafios e limitações.

Relações interorganizacionais e confiança no setor da carcinicultura: um estudo de caso na camanor produtos marinhos

This study investigated how the types of confidence based on competence and good will act in the formation and maintenance of cooperation relationships between the Camanor and its partners (Aquatec, Purina, Caçuá, Uvifrios and Malta / Cleyton). It used organizational approaches on networks based primarily on studies of Powell (1987, 1990), Das and Teng (2000, 2001), Child (2001) and Contractor and Lorange (2004) which have described the advantages that cooperative relationships can provide, as well as their limits as alternative governance structures. Confidence has been considered an important factor affecting the actions and development of organizations involved in networks or in strategic alliances (ZAHEER; HARRIS, 2006) and is the most appropriate control mechanism in these situations (SYDOW, 1998). Confidence is seen from two different approaches: the economic and the sociological (ZAHEER; HARRIS, 2006). To facilitate the understanding of confidence some typologies have been created, as proposed by Barney and Hansen (1994), Lane (1998), Das and Teng (2000), Child (2001) and Wever, Martens and Vandenbempt (2005). This study made use of the case study as proposition of Yin (2005). Semi-structured interviews were held with pre-determined routes, in a single stage performed in early 2008. The research subjects were owners and / or responsible for Camanor and its business partners (Aquatec, Purina, Caçuá, Uvifrios and Malta / Cleyton). Also secondary data were collected in several sites related to the industry and enterprises studied, in addition to data collected by previous studies conducted by CARCINEREDES (2006). The primary data were analyzed using the analysing technique of the content proposed by Bardin (1994). Regarding the secondary data, they were qualitatively analyzed according to documentary analysis technique (BARDIN, 1994). Thus, through the data collected, could be concluded that although there is confidence based on good faith in relationships(UZZI, 1998; OF; TENG, 2001), their presence does not determine the formation and / or maintenance of a partnership, serves only in order to facilitate the relationship, making them more flexible. The confidence based on competence (DAS; TENG, 2001) influenced the formation and maintenance of relations studied. Because whether or not to form a relationship with another organization it is used the perception of the partner acts, namely the reputation (image) as decision basis. And it is through the verification of the performance of the partner activities that will determine the continuation of the partnership

Análise dos indicadores de qualidade versus taxa de abandono utilizando método de regressão múltipla para serviço de banda larga

Telecommunication is one of the most dynamic and strategic areas in the world. Many technological innovations has modified the way information is exchanged. Information and knowledge are now shared in networks. Broadband Internet is the new way of sharing contents and information. This dissertation deals with performance indicators related to maintenance services of telecommunications networks and uses models of multivariate regression to estimate churn, which is the loss of customers to other companies. In a competitive environment, telecommunications companies have devised strategies to minimize the loss of customers. Loosing customers presents a higher cost than obtaining new ones. Corporations have plenty of data stored in a diversity of databases. Usually the data are not explored properly. This work uses the Knowledge Discovery in Databases (KDD) to establish rules and new models to explain how churn, as a dependent variable, are related to a diversity of service indicators, such as time to deploy the service (in hours), time to repair (in hours), and so on. Extraction of meaningful knowledge is, in many cases, a challenge. Models were tested and statistically analyzed. The work also shows results that allows the analysis and identification of which quality services indicators influence the churn. Actions are also proposed to solve, at least in part, this problem

Gestão do Conhecimento e o uso estratégico de Tecnologias de Informação: um estudo em Redes de Franquias no Estado do Rio Grande do Norte

This study discusses the use of information technologies for knowledge management in networks of franchises in the Rio Grande do Norte/Brazil, whose management and operation are complex activities, characterized by the geographic spread of their network unities, creating barriers to communication and information sharing between franchisors, franchisees and final customers. In view of this, the following hypotheses were formulated: the knowledge management can be a positive alternative for improving communication between units; and information technology can eliminate many problems related mainly to capture and share knowledge. In general, it aims to investigate, in qualitative and quantitative aspects, how information technology can support knowledge management in networks of franchises. Specifically purposes to register the existence of managerial practices related to knowledge management in enterprises at the franchising sector; to verify whether they have the technological resources with the potential to facilitate the sharing of information; to identify what are the technologies of information and communication used in the organizational environment; and suggest measures that will facilitate the process of organizational learning, using information technology and communication as tools. It concludes that knowledge management becomes a positive alternative, especially in strengthening of bonds of communication and sharing of knowledge between the franchises. In this regard, information technology must provide all the services of the corporation to facilitate communication between franchisor and franchisee, through a single and integrated system. However, they still show unsuitable for more sophisticated technology platforms

Dedução de Funções de Alívio para Priorização de Variantes de Chaveamento Adequadas à Eliminação de Sobrecargas

Eventually, violations of voltage limits at buses or admissible loadings of transmission lines and/or power transformers may occur by the power system operation. If violations are detected in the supervision process, corrective measures may be carried out in order to eliminate them or to reduce their intensity. Loading restriction is an extreme solution and should only be adopted as the last control action. Previous researches have shown that it is possible to control constraints in electrical systems by changing the network topology, using the technique named Corrective Switching, which requires no additional costs. In previous works, the proposed calculations for verifying the ability of a switching variant in eliminating an overload in a specific branch were based on network reduction or heuristic analysis. The purpose of this work is to develop analytical derivation of linear equations to estimate current changes in a specific branch (due to switching measures) by means of few calculations. For bus-bar coupling, derivations will be based on short-circuit theory and Relief Function methodology. For bus-bar splitting, a Relief Function will be derived based on a technique of equivalent circuit. Although systems of linear equations are used to substantiate deductions, its formal solution for each variant, in real time does not become necessary. A priority list of promising variants is then assigned for final check by an exact load flow calculation and a transient analysis using ATP Alternative Transient Program. At last, results obtained by simulation in networks with different features will be presented

Modelos de dispositivos de microondas e ópticos através de redes neurais artificiais de alimentação direta

This dissertation contributes for the development of methodologies through feed forward artificial neural networks for microwave and optical devices modeling. A bibliographical revision on the applications of neuro-computational techniques in the areas of microwave/optical engineering was carried through. Characteristics of networks MLP, RBF and SFNN, as well as the strategies of supervised learning had been presented. Adjustment expressions of the networks free parameters above cited had been deduced from the gradient method. Conventional method EM-ANN was applied in the modeling of microwave passive devices and optical amplifiers. For this, they had been proposals modular configurations based in networks SFNN and RBF/MLP objectifying a bigger capacity of models generalization. As for the training of the used networks, the Rprop algorithm was applied. All the algorithms used in the attainment of the models of this dissertation had been implemented in Matlab

Urbanização turística em ponta negra: relações de força e processos sociais no período de 1979-2009

This master thesis aimed to investigate how the power relations operating in the tourism social processes, have shaped the urbanization of Ponta Negra district, Natal, Rio Grande do Norte - RN. The study assumes that the production of space is the result of global phenomena individualized by local forces a process of glocalization. The method used was the case study. It used primary and secondary data and information were treated using the technique of content analysis. The urbanization of Ponta Negra is inserted in the context of global process triggered in the 1970s. The Park of Dunas and Costeira Highway (PD/VC) urbanization project marks the beginning of the Tourisms since 1979. The period in focus was 1979 to 2009. The tourism was dived into four major sections time: tourism in Natal before the Coastal Highway (1939-1979); Project Parque das Dunas / Coastal Highway to the first boom in domestic tourism (1979 - 1990); the internationalization of tourism (1991-2000) and, of first "boom" to "decline" of international tourism (2001-2009). Based on the historical evolution of the tourism were elected three different social processes, able to demonstrate how relations of social forces brought in space act on them and help shape the process of urbanization of the neighborhood in question: The removal of beach hut , the soccer field Botafogo Football Club and the skyscrapers . Finally, it should summarize the research identified interests and conflicts among the actors that form the thrust of spatial transformations: cultural conflicts resulting from the imposition of social practices that differ from the taste of native; clashes between different groups that reflect the duality between use value and exchange value; and interests in land values. In addition, demonstrated that the social relations that involve the production of the area are stimulated by deep-seated societal processes historically and camouflaged by market relations and a modern facade that the city has acquired in recent times; revealed that the actors are linked in networks to increase their influence and that this influence varies mainly according to economic and political power that they or their associates hold

A multi-objective evaluation of the impact of the penetration of Distributed Generation

This paper proposes a methodology to consider the effects of the integration of DG on planning. Since DG has potential to defer investments in networks, the impact of DG on grid capacity is evaluated. A multi-objective optimization tool based on the meta-heuristic MEPSO is used, supporting an alternative approach to exploiting the Pareto front features. Tests were performed in distinct conditions with two well-known distribution networks: IEEE-34 and IEEE-123. The results combined minimization and maximization in order to produce different Pareto fronts and determine the extent of the impact caused by DG. The analysis provides useful information, such as the identification of futures that should be considered in planning. A future means a set of realizations of all uncertainties. MEPSO also presented a satisfactory performance in obtaining the Pareto fronts. © 2011 IEEE.

Fuzzy community structure detection by particle competition and cooperation

Identification and classification of overlapping nodes in networks are important topics in data mining. In this paper, a network-based (graph-based) semi-supervised learning method is proposed. It is based on competition and cooperation among walking particles in a network to uncover overlapping nodes by generating continuous-valued outputs (soft labels), corresponding to the levels of membership from the nodes to each of the communities. Moreover, the proposed method can be applied to detect overlapping data items in a data set of general form, such as a vector-based data set, once it is transformed to a network. Usually, label propagation involves risks of error amplification. In order to avoid this problem, the proposed method offers a mechanism to identify outliers among the labeled data items, and consequently prevents error propagation from such outliers. Computer simulations carried out for synthetic and real-world data sets provide a numeric quantification of the performance of the method. © 2012 Springer-Verlag.

Automação do despacho dinâmico de viaturas para o atendimento das ordens de serviços nas redes de distribuição de energia elétrica

Pós-graduação em Engenharia Elétrica - FEIS

A formação continuada de professores do ensino superior para a atuação docente on-line: desafios e possibilidades

Pós-graduação em Educação - FCT

Redes de transformação do processo de inovação: o caminho entre a descoberta e a comercialização

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Predição de qualidade de experiência em redes wimax em aplicações de video baseada em aspectos de qualidade de serviço

A crescente utilização dos serviços de telecomunicações principalmente sem fio tem exigido a adoção de novos padrões de redes que ofereçam altas taxas de transmissão e que alcance um número maior de usuários. Neste sentido o padrão IEEE 802.16, no qual é baseado o WiMAX, surge como uma tecnologia em potencial para o fornecimento de banda larga na próxima geração de redes sem fio, principalmente porque oferece Qualidade de Serviço (QoS) nativamente para fluxos de voz, dados e vídeo. A respeito das aplicações baseadas vídeo, tem ocorrido um grande crescimento nos últimos anos. Em 2011 a previsão é que esse tipo de conteúdo ultrapasse 50% de todo tráfego proveniente de dispositivos móveis. Aplicações do tipo vídeo têm um forte apelo ao usuário final que é quem de fato deve ser o avaliador do nível de qualidade recebida. Diante disso, são necessárias novas formas de avaliação de desempenho que levem em consideração a percepção do usuário, complementando assim as técnicas tradicionais que se baseiam apenas em aspectos de rede (QoS). Nesse sentido, surgiu a avaliação de desempenho baseada Qualidade de Experiência (QoE) onde a avaliação do usuário final em detrimento a aplicação é o principal parâmetro mensurado. Os resultados das investigações em QoE podem ser usados como uma extensão em detrimento aos tradicionais métodos de QoS, e ao mesmo tempo fornecer informações a respeito da entrega de serviços multimídias do ponto de vista do usuário. Exemplos de mecanismos de controle que poderão ser incluídos em redes com suporte a QoE são novas abordagens de roteamento, processo de seleção de estação base e tráfego condicionado. Ambas as metodologias de avaliação são complementares, e se usadas de forma combinada podem gerar uma avaliação mais robusta. Porém, a grande quantidade de informações dificulta essa combinação. Nesse contexto, esta dissertação tem como objetivo principal criar uma metodologia de predição de qualidade de vídeo em redes WiMAX com uso combinado de simulações e técnicas de Inteligência Computacional (IC). A partir de parâmetros de QoS e QoE obtidos através das simulações será realizado a predição do comportamento futuro do vídeo com uso de Redes Neurais Artificiais (RNA). Se por um lado o uso de simulações permite uma gama de opções como extrapolação de cenários de modo a imitar as mesmas situações do mundo real, as técnicas de IC permitem agilizar a análise dos resultados de modo que sejam feitos previsões de um comportamento futuro, correlações e outros. No caso deste trabalho, optou-se pelo uso de RNAs uma vez que é a técnica mais utilizada para previsão do comportamento, como está sendo proposto nesta dissertação.

Uma abordagem para otimização do período de sensoriamento em rádio cognitivo com algoritmo genético multiobjetivo

A eficiência espectral em redes baseadas na tecnologia de Rádio Cognitivo (RC) pode ser comprometida caso o rádio seja utilizado por muito tempo para a detecção em vez da transmissão de dados. Por isso, tornam-se necessários esquemas de sensoriamento que tenham o objetivo de obter o máximo possível de utilização do espectro, evitando sensoriamento desnecessário, bem como, obtendo o mínimo de interferência na transmissão do usuário primário decorrente de detecção incorreta de sua transmissão. Neste trabalho, propomos a utilização de Algoritmos Genéticos para realizar a adaptação do período de sensoriamento. O objetivo é obter um período de sensoriamento ótimo para os canais com vistas a maximizar a descoberta de oportunidades no espectro e minimizar o overhead decorrente do sensoriamento. A maioria dos trabalhos relacionados a este assunto considera que o overhead de sensoriamento é fixo, não levando em conta que alguns canais podem ter menor tolerância à interferência que outros. A proposta apresentada neste trabalho pode adaptar-se aos requisitos de tolerância à interferência no canal licenciado por meio da determinação de um período de sensoriamento que otimize as oportunidades para qualquer valor de overhead definido. Nossa proposta consegue obter um ganho de até 90% em relação às técnicas não otimizadas no número de oportunidades encontradas, até 40,9% no ganho de transmissão útil e obteve uma redução no tempo de interferência de 66,83%, bem como resultados similares aos obtidos por uma proposta otimizada presente na literatura, com a vantagem de permitir a adaptação do overhead de sensoriamento.