43 resultados para Internet searching
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Dissertação para obtenção do Grau de Mestre em Engenharia Informática
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Relatório de Estágio de Mestrado em Ensino de Espanhol
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Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Ciência da Informação e Documentação – Área de especialização em Arquivística
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Dissertação para obtenção do Grau de Mestre em Engenharia Informática
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Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores
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The analysis of molecular regulators involved in controlling the maintenance and function of plant meristems has been the subject of many studies. Some master regulators of these processes have been identified in Arabidopsis benefiting from the array of tools available for genetic and molecular analysis in this model plant. However, aspects such as secondary growth that are more extensively observed in woody plants, have been less studied. Secondary growth is responsible for the enlargement of the plant stems and roots and results from the activity of the lateral (secondary) meristems, vascular cambium and cork cambium (phellogen), which produce two important renewable natural resources, wood and cork, respectively.(...)
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No meio jornalístico, a Internet veio estabelecer uma nova plataforma de informação, que atingiu os meios de comunicação e proliferou a forma como o cidadão comum pode obter informação. Através da Internet, podemos exercer o nosso direito de liberdade de expressão e informação (artigo 37.º da Constituição da República Portuguesa) em toda a sua plenitude. No entanto, este advento trouxe com ele novos meios para praticar crimes. A pessoa que escreve, publica ou vê algo através da Internet pode cometer um crime contra a honra, punido pelo Código Penal. Destes crimes fazem parte a difamação, o crime mais importante na Comunicação Social, a injúria ou a calúnia: a Internet é uma ferramenta facilitadora de atentar contra a honra da pessoa humana, um direito inerente à nossa simples existência. Na Internet o crime é muitas vezes motivado pela ideia de que o dispositivo informático permite esconder o autor, o que não acontece nos meios de comunicação dito tradicionais. Não obstante, a Internet é um meio de conservação de identidades muito poderoso. A pegada informática nunca é definitivamente apagada e, ainda que tendo a necessidade de ultrapassar alguns constrangimentos jurídicos, existe sempre a possibilidade de identificar os autores dos crimes. Os crimes praticados no mundo online já são, em Portugal, legislados offline. Esta mesma legislação pode ser aplicada a estes “novos” crimes, não sendo necessário uma regulação urgente para que este tipo de crimes seja punido. O que tem que existir é uma permanente observação, na medida em que os crimes contra a honra praticados online atingem um número inqualificável de pessoas e propagam-se a um ritmo avassalador.
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In the last few years, we have observed an exponential increasing of the information systems, and parking information is one more example of them. The needs of obtaining reliable and updated information of parking slots availability are very important in the goal of traffic reduction. Also parking slot prediction is a new topic that has already started to be applied. San Francisco in America and Santander in Spain are examples of such projects carried out to obtain this kind of information. The aim of this thesis is the study and evaluation of methodologies for parking slot prediction and the integration in a web application, where all kind of users will be able to know the current parking status and also future status according to parking model predictions. The source of the data is ancillary in this work but it needs to be understood anyway to understand the parking behaviour. Actually, there are many modelling techniques used for this purpose such as time series analysis, decision trees, neural networks and clustering. In this work, the author explains the best techniques at this work, analyzes the result and points out the advantages and disadvantages of each one. The model will learn the periodic and seasonal patterns of the parking status behaviour, and with this knowledge it can predict future status values given a date. The data used comes from the Smart Park Ontinyent and it is about parking occupancy status together with timestamps and it is stored in a database. After data acquisition, data analysis and pre-processing was needed for model implementations. The first test done was with the boosting ensemble classifier, employed over a set of decision trees, created with C5.0 algorithm from a set of training samples, to assign a prediction value to each object. In addition to the predictions, this work has got measurements error that indicates the reliability of the outcome predictions being correct. The second test was done using the function fitting seasonal exponential smoothing tbats model. Finally as the last test, it has been tried a model that is actually a combination of the previous two models, just to see the result of this combination. The results were quite good for all of them, having error averages of 6.2, 6.6 and 5.4 in vacancies predictions for the three models respectively. This means from a parking of 47 places a 10% average error in parking slot predictions. This result could be even better with longer data available. In order to make this kind of information visible and reachable from everyone having a device with internet connection, a web application was made for this purpose. Beside the data displaying, this application also offers different functions to improve the task of searching for parking. The new functions, apart from parking prediction, were: - Park distances from user location. It provides all the distances to user current location to the different parks in the city. - Geocoding. The service for matching a literal description or an address to a concrete location. - Geolocation. The service for positioning the user. - Parking list panel. This is not a service neither a function, is just a better visualization and better handling of the information.
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With the recent technological development, we have been witnessing a progressive loss of control over our personal information. Whether it is the speed in which it spreads over the internet or the permanent storage of information on cloud services, the means by which our personal information escapes our control are vast. Inevitably, this situation allowed serious violations of personal rights. The necessity to reform the European policy for protection of personal information is emerging, in order to adapt to the technological era we live in. Granting individuals the ability to delete their personal information, mainly the information which is available on the Internet, is the best solution for those whose rights have been violated. However, once supposedly deleted from the website the information is still shown in search engines. In this context, “the right to be forgotten in the internet” is invoked. Its implementation will result in the possibility for any person to delete and stop its personal information from being spread through the internet in any way, especially through search engines directories. This way we will have a more comprehensive control over our personal information in two ways: firstly, by allowing individuals to completely delete their information from any website and cloud service and secondly by limiting access of search engines to the information. This way, it could be said that a new and catchier term has been found for an “old” right.
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The present dissertation has as object of study the right to be forgotten, a new right for increase the control of subject over their data. It’s analyzed the data protection on Internet, especially, some scenarios of processing and the regulation applicable to it (directive 95/46/CE and directive 2002/58/CE).
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The subject of study of this Thesis aims to highlight and recognize as an object of reflection the undoubted relationship between the Internet and the Justice System, based on the issue of digital evidence. The simultaneously crossing of the juridical-legal implications and the more technical computer issues is the actual trigger for the discussion of the issues established. The Convention on Cybercrime of the Council of Europe of 23rd November 2001 and the Council Framework Decision n.° 2005/222/JHA of 24th February 2005 were avant-garde in terms of the international work about the crimes in the digital environment. In addition they enabled the harmonization of national legislations on the matter and, consequently, a greater flexibility in international judicial cooperation. Portugal, in compliance with these international studies, ratified, implemented and approved Law n. º 109/2009 of 15th September concerning the Cybercrime Act, establishing a more specific investigation and collection of evidence in electronic support when it comes to combating this type of crime, as it reinforced the Substantive Criminal Law and Procedural Nature. Nevertheless, the constant debates about the New Technologies of Information and Communication have not neglected the positive role of these tools for the user. However, they express a particular concern for their counterproductive effects; a special caution prevails on the part of the judge in assessing the digital evidence, especially circumstantial evidence, due to the its fragility. Indisputably, the practice of crimes through the computer universe, given its inexorable technical complexity, entails many difficulties for the forensic investigation, since the proofs hold temporary, changeable, volatile, and dispersed features. In this pillar, after the consummation of iter criminis, the Fundamental Rights of the suspects may be debated in the course of the investigation and the construction of iter probatorium. The intent of this Thesis is to contribute in a reflective way on the issues presented in order to achieve a bigger technical and legal awareness regarding the collection of digital proof, looking for a much lighter approach to its suitability in terms of evidentiary value.
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The present dissertation has as object of study the right to be forgotten, a new right for increase the control of subject over their data. It’s analyzed the data protection on Internet, especially, some scenarios of processing and the regulation applicable to it (directive 95/46/CE and directive 2002/58/CE).
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A Internet das Coisas tal como o Big Data e a análise dos dados são dos temas mais discutidos ao querermos observar ou prever as tendências do mercado para as próximas décadas, como o volume económico, financeiro e social, pelo que será relevante perceber a importância destes temas na atualidade. Nesta dissertação será descrita a origem da Internet das Coisas, a sua definição (por vezes confundida com o termo Machine to Machine, redes interligadas de máquinas controladas e monitorizadas remotamente e que possibilitam a troca de dados (Bahga e Madisetti 2014)), o seu ecossistema que envolve a tecnologia, software, dispositivos, aplicações, a infra-estrutura envolvente, e ainda os aspetos relacionados com a segurança, privacidade e modelos de negócios da Internet das Coisas. Pretende-se igualmente explicar cada um dos “Vs” associados ao Big Data: Velocidade, Volume, Variedade e Veracidade, a importância da Business Inteligence e do Data Mining, destacando-se algumas técnicas utilizadas de modo a transformar o volume dos dados em conhecimento para as empresas. Um dos objetivos deste trabalho é a análise das áreas de IoT, modelos de negócio e as implicações do Big Data e da análise de dados como elementos chave para a dinamização do negócio de uma empresa nesta área. O mercado da Internet of Things tem vindo a ganhar dimensão, fruto da Internet e da tecnologia. Devido à importância destes dois recursos e á falta de estudos em Portugal neste campo, com esta dissertação, sustentada na metodologia do “Estudo do Caso”, pretende-se dar a conhecer a experiência portuguesa no mercado da Internet das Coisas. Visa-se assim perceber quais os mecanismos utilizados para trabalhar os dados, a metodologia, sua importância, que consequências trazem para o modelo de negócio e quais as decisões tomadas com base nesses mesmos dados. Este estudo tem ainda como objetivo incentivar empresas portuguesas que estejam neste mercado ou que nele pretendam aceder, a adoptarem estratégias, mecanismos e ferramentas concretas no que diz respeito ao Big Data e análise dos dados.