953 resultados para Information exchange


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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Ciência da Informação - FFC

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Pós-graduação em Matemática Universitária - IGCE

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Pós-graduação em Ciência da Computação - IBILCE

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As mudanças no cenário da engenharia civil e consequentemente da gestão da produção das obras exigem um engenheiro com perfil diferente, resultando na necessidade novas competências, relacionadas a inovação, foco no cliente, planejamento e controle, sistemas de gestão da qualidade, sustentabilidade e uma visão humanista. O objetivo principal deste artigo é identificar as competências desenvolvidas em uma empresa construtora com o processo de implantação da Aprendizagem Baseada em Problemas adaptado ao contexto organizacional. A estratégia de pesquisa adotada foi a pesquisa-ação, na qual a equipe de pesquisa atua com profissionais para melhorar a forma como estes entendem e resolvem problemas. Os resultados alcançados envolveram o desenvolvimento de competências relacionadas ao contexto organizacional, à aprendizagem individual, coletiva e organizacional, apontando problemas e possíveis soluções de gestão na empresa. Através do desenvolvimento de competências gerenciais, foi estimulada uma visão humanística, sustentável, com foco no cliente, além de um melhor sistema de gestão da qualidade. Identificaram-se problemas no sistema de gestão organizacional, ficando evidente a necessidade da criação de um ambiente propício para troca de informações entre diferentes setores da empresa.

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The growing concern of experts in organizational communication with appropriate business relationships with its various stakeholders through digital platforms causes an upgrowth on the number of studies on the topic of social media. The social network communication receives analysis in different approaches, ranging from behavioral changes to the instrumentalization of these tools for marketing, relationship and information exchange. The objective of this monograph is to make an exploratory study that relates to organizational communication and social media, and discuss how the theories can contribute to the optimization of communication mediated by specific platforms that bring with them opportunities for interaction and relationship in the digital environment

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Pós-graduação em Ciência da Informação - FFC

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Pós-graduação em História - FCLAS

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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[ES] El objetivo de este Trabajo es el de parametrizar, implementar las estructuras de datos y programar las aplicaciones necesarias que posibilitan el intercambio de información entre dos entornos software, SAP R/3 y Knapp, líderes en sus campos de actuación. El resultado de aplicar tales cambios permitirá a la organización no sólo centralizar la información en el ERP, sino que mejorará sus procesos de negocio y agilizará la toma de decisiones por parte de los responsables. Se realiza un estudio de la situación actual y, tras un análisis detallado, se propone una solución que permita alcanzar los objetivos propuestos. Una vez diseñada, presentada y aprobada la propuesta, se procede a la parametrización de SAP R/3, a la definición de los segmentos y tipos de IDOC y a la codificación de funciones y programas que permitan tratar la información enviada por Knapp. Finalizadas estas tareas, se elaboran juegos de datos de los procesos comerciales y se ejecutan en un entorno de test, en colaboración con los usuarios claves, para comprobar la bondad de la solución implementada. Se analizan los resultados y se corrigen posibles deficiencias. Finalmente se transporta al sistema productivo todos los cambios realizados y se verifica la correcta ejecución de los procesos de negocio de la organización.

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This thesis deals with Context Aware Services, Smart Environments, Context Management and solutions for Devices and Service Interoperability. Multi-vendor devices offer an increasing number of services and end-user applications that base their value on the ability to exploit the information originating from the surrounding environment by means of an increasing number of embedded sensors, e.g. GPS, compass, RFID readers, cameras and so on. However, usually such devices are not able to exchange information because of the lack of a shared data storage and common information exchange methods. A large number of standards and domain specific building blocks are available and are heavily used in today's products. However, the use of these solutions based on ready-to-use modules is not without problems. The integration and cooperation of different kinds of modules can be daunting because of growing complexity and dependency. In this scenarios it might be interesting to have an infrastructure that makes the coexistence of multi-vendor devices easy, while enabling low cost development and smooth access to services. This sort of technologies glue should reduce both software and hardware integration costs by removing the trouble of interoperability. The result should also lead to faster and simplified design, development and, deployment of cross-domain applications. This thesis is mainly focused on SW architectures supporting context aware service providers especially on the following subjects: - user preferences service adaptation - context management - content management - information interoperability - multivendor device interoperability - communication and connectivity interoperability Experimental activities were carried out in several domains including Cultural Heritage, indoor and personal smart spaces – all of which are considered significant test-beds in Context Aware Computing. The work evolved within european and national projects: on the europen side, I carried out my research activity within EPOCH, the FP6 Network of Excellence on “Processing Open Cultural Heritage” and within SOFIA, a project of the ARTEMIS JU on embedded systems. I worked in cooperation with several international establishments, including the University of Kent, VTT (the Technical Reserarch Center of Finland) and Eurotech. On the national side I contributed to a one-to-one research contract between ARCES and Telecom Italia. The first part of the thesis is focused on problem statement and related work and addresses interoperability issues and related architecture components. The second part is focused on specific architectures and frameworks: - MobiComp: a context management framework that I used in cultural heritage applications - CAB: a context, preference and profile based application broker which I designed within EPOCH Network of Excellence - M3: "Semantic Web based" information sharing infrastructure for smart spaces designed by Nokia within the European project SOFIA - NoTa: a service and transport independent connectivity framework - OSGi: the well known Java based service support framework The final section is dedicated to the middleware, the tools and, the SW agents developed during my Doctorate time to support context-aware services in smart environments.

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We study first the different cadastral systems in the EU countries and their perspective in the European Law context, especially in their tax law aspect and about the different building tax system. We talk about the most important aspect, taxation, and the European Unionʼs influence, particularly the European Court. But not only speak about the influence in the Member stateʼs building tax, also find another influences ways, with some European policies. All these aspects and another show a tendency to the cadastral integration, not direct, but existent in the indirect way. About other aspects, the study holds the dual nature of the cadastre, social (like social science), and their tax aspect, and technic nature. The Inspire information net can generate a new way to the tax information exchange between European countries. The investigation end with a comparison of the different cadastral systems in EU countries, and about the edification tax law too. This report holds the tax nature of the cadastre, the need to be considered like social-technic complex. Diverse international organization consider that is a multipurpose instrument and institution, but seem to forget their original purpose, their tax purpose, that was the central aspect in their origin and that don can`t be forget in the new world that raises after the world financial crisis.

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Nowadays communication is switching from a centralized scenario, where communication media like newspapers, radio, TV programs produce information and people are just consumers, to a completely different decentralized scenario, where everyone is potentially an information producer through the use of social networks, blogs, forums that allow a real-time worldwide information exchange. These new instruments, as a result of their widespread diffusion, have started playing an important socio-economic role. They are the most used communication media and, as a consequence, they constitute the main source of information enterprises, political parties and other organizations can rely on. Analyzing data stored in servers all over the world is feasible by means of Text Mining techniques like Sentiment Analysis, which aims to extract opinions from huge amount of unstructured texts. This could lead to determine, for instance, the user satisfaction degree about products, services, politicians and so on. In this context, this dissertation presents new Document Sentiment Classification methods based on the mathematical theory of Markov Chains. All these approaches bank on a Markov Chain based model, which is language independent and whose killing features are simplicity and generality, which make it interesting with respect to previous sophisticated techniques. Every discussed technique has been tested in both Single-Domain and Cross-Domain Sentiment Classification areas, comparing performance with those of other two previous works. The performed analysis shows that some of the examined algorithms produce results comparable with the best methods in literature, with reference to both single-domain and cross-domain tasks, in $2$-classes (i.e. positive and negative) Document Sentiment Classification. However, there is still room for improvement, because this work also shows the way to walk in order to enhance performance, that is, a good novel feature selection process would be enough to outperform the state of the art. Furthermore, since some of the proposed approaches show promising results in $2$-classes Single-Domain Sentiment Classification, another future work will regard validating these results also in tasks with more than $2$ classes.