Knowledge management framework based on brain models and human physiology

The life of humans and most living beings depend on sensation and perception for the best assessment of the surrounding world. Sensorial organs acquire a variety of stimuli that are interpreted and integrated in our brain for immediate use or stored in memory for later recall. Among the reasoning aspects, a person has to decide what to do with available information. Emotions are classifiers of collected information, assigning a personal meaning to objects, events and individuals, making part of our own identity. Emotions play a decisive role in cognitive processes as reasoning, decision and memory by assigning relevance to collected information. The access to pervasive computing devices, empowered by the ability to sense and perceive the world, provides new forms of acquiring and integrating information. But prior to data assessment on its usefulness, systems must capture and ensure that data is properly managed for diverse possible goals. Portable and wearable devices are now able to gather and store information, from the environment and from our body, using cloud based services and Internet connections. Systems limitations in handling sensorial data, compared with our sensorial capabilities constitute an identified problem. Another problem is the lack of interoperability between humans and devices, as they do not properly understand human’s emotional states and human needs. Addressing those problems is a motivation for the present research work. The mission hereby assumed is to include sensorial and physiological data into a Framework that will be able to manage collected data towards human cognitive functions, supported by a new data model. By learning from selected human functional and behavioural models and reasoning over collected data, the Framework aims at providing evaluation on a person’s emotional state, for empowering human centric applications, along with the capability of storing episodic information on a person’s life with physiologic indicators on emotional states to be used by new generation applications.

From "Humanities and Computing" to "Digital Humanities": Digital Humanities in Portugal with a focus on Historical Research

In the following text I will develop three major aspects. The first is to draw attention to those who seem to have been the disciplinary fields where, despite everything, the Digital Humanities (in the broad perspective as will be regarded here) have asserted themselves in a more comprehensive manner. I think it is here that I run into greater risks, not only for what I have mentioned above, but certainly because a significant part, perhaps, of the achievements and of the researchers might have escaped the look that I sought to cast upon the past few decades, always influenced by my own experience and the work carried out in the field of History. But this can be considered as a work in progress and it is open to criticism and suggestions. A second point to note is that emphasis will be given to the main lines of development in the relationship between historical research and digital methodologies, resources and tools. Finally, I will try to make a brief analysis of what has been the Digital Humanities discourse appropriation in recent years, with very debatable data and methods for sure, because studies are still scarce and little systematic information is available that would allow to go beyond an introductory reflection.

A internet e o sistema de justiça

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.

Protecção de dados pessoais na internet

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).

Modelos de negócios para a internet das coisas baseados em big data : Muzzley, um estudo de caso

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.