Algumas palavras e definições comumente utilizadas quando se está falando de Software-Defined Networking, como programabilidade, flexibilidade, ou gerenciamento centralizado, parecem muito apropriadas ao contexto de um outro paradigma de rede: Internet of Things. Em redes domésticas já não é incomum a existência de dispositivos projetados para segurança, climatização, iluminação, monitoramento de saúde e algumas formas de automação que diferem entre si em diversos aspectos, como no modo de operar e de se comunicar. Lidar com este tipo de cenário, que pode diferir bastante daquilo que estamos acostumados na gerência de redes e serviços, fazendo uso dos recursos tradicionais como ferramentas e protocolos bem estabelecidos, pode ser difícil e, em alguns casos, inviável. Com o objetivo de possibilitar o monitoramento remoto de pacientes com doenças crônicas através de dispositivos de healthcare disponíveis no mercado, uma proposta de middleware foi desenvolvida em um projeto de pesquisa para contornar as limitações relacionadas à interoperabilidade, coleta de dados, gerência, segurança e privacidade encontradas nos dispositivos utilizados. O middleware foi projetado com o intuito de executar em access points instalados na casa dos pacientes. Contudo, as limitações de hardware e software do access point utilizado refletem no desenvolvimento, pois restringem o uso de linguagens de programação e recursos que poderiam agilizar e facilitar a implementação dos módulos e dos mecanismos necessários. Os contratempos encontrados no desenvolvimento motivaram a busca por alternativas, o que resultou na refatoração do middleware através de Software-Defined Networking, baseando-se em trabalhos que exploram o uso desse paradigma em redes domésticas. O objetivo deste trabalho é verificar a viabilidade da utilização de Software-Defined Networking no contexto de Internet of Things, mais especificamente, aplicado ao serviço de monitoramento de pacientes da proposta anterior e explorar os possíveis benefícios resultantes. Com a refatoração, a maior parte da carga de serviços da rede e do monitoramento foi distribuída entre servidores remotos dedicados, com isso os desenvolvedores podem ir além das restrições do access point e fazer uso de recursos antes não disponíveis, o que potencializa um processo de desenvolvimento mais ágil e com funcionalidades mais complexas, ampliando as possibilidades do serviço. Adicionalmente, a utilização de Software-Defined Networking proporcionou a entrega de mais de um serviço através de um único access point, escalabilidade e autonomia no gerenciamento das redes e dos dispositivos e na implantação de serviços, fazendo uso de recursos do protocolo OpenFlow, e a cooperação entre dispositivos e serviços a fim de se criar uma representação digital mais ampla do ambiente monitorado. / Some words and definitions usually employed when talking about Software-Defined Networking such as programmability, frexibility, or centralized management sound very appropriate to the context of another network paradigm: Internet of Things. The presence of devices designed for security, air conditioning, lighting, health monitoring and some other automation resources have become common in home networks; those devices may be different in many ways, such as the way they operate and communicate, between others. Dealing with this kind of scenario may differ in many ways from what we are familiar regarding networking and services management; the use of traditional management tools and protocols may be hard or even unfeasible. Aiming to enable the health monitoring of patients with chronical illnesses through using off-the-shelf healthcare devices a middleware proposal was developed in a research project to circumvent interoperability, data collecting, management, security and privacy issues found in employed devices. The middleware was designed to run on access points in the homes of the patients. Although hardware and software limitations of the used access points reflect on the development process, because they restrict the use of programming languages and resources that could be employed to expedite the implementation of necessary modules and features. Development related mishaps have motivated the search for alternatives resulting in the middleware refactoring through Software-Defined Networking, based on previous works where that paradigm is used in home networks. This work aims to verify the feasability of the employment of Software- Defined Networking in the Internet of Things context, and its resulting benefits; specifically in the health monitoring of chronic patients service from the previous proposal. After refactoring most of the network and services load was distributed among remote dedicated servers allowing developers to go beyond the limitations imposed by access points constraints, and to make use of resources not available before enabling agility to the development process; it also enables the development of more complex features expanding services possibilities. Additionally Software-Defined Networking employment provides benefits such as the delivering of more than only one service through the same access point; scalability and autonomy to the network and devices monitoring, as to the service deployment through the use of OpenFlow resources; and devices and services cooperation enabling the built of a wider digital representation of the monitored environment.

abstract: As integrated technologies are scaling down, there is an increasing trend in the process,voltage and temperature (PVT) variations of highly integrated RF systems. Accounting for these variations during the design phase requires tremendous amount of time for prediction of RF performance and optimizing it accordingly. Thus, there is an increasing gap between the need to relax the RF performance requirements at the design phase for rapid development and the need to provide high performance and low cost RF circuits that function with PVT variations. No matter how care- fully designed, RF integrated circuits (ICs) manufactured with advanced technology nodes necessitate lengthy post-production calibration and test cycles with expensive RF test instruments. Hence design-for-test (DFT) is proposed for low-cost and fast measurement of performance parameters during both post-production and in-eld op- eration. For example, built-in self-test (BIST) is a DFT solution for low-cost on-chip measurement of RF performance parameters. In this dissertation, three aspects of automated test and calibration, including DFT mathematical model, BIST hardware and built-in calibration are covered for RF front-end blocks. First, the theoretical foundation of a post-production test of RF integrated phased array antennas is proposed by developing the mathematical model to measure gain and phase mismatches between antenna elements without any electrical contact. The proposed technique is fast, cost-efficient and uses near-field measurement of radiated power from antennas hence, it requires single test setup, it has easy implementation and it is short in time which makes it viable for industrialized high volume integrated IC production test. Second, a BIST model intended for the characterization of I/Q offset, gain and phase mismatch of IQ transmitters without relying on external equipment is intro- duced. The proposed BIST method is based on on-chip amplitude measurement as in prior works however,here the variations in the BIST circuit do not affect the target parameter estimation accuracy since measurements are designed to be relative. The BIST circuit is implemented in 130nm technology and can be used for post-production and in-field calibration. Third, a programmable low noise amplifier (LNA) is proposed which is adaptable to different application scenarios depending on the specification requirements. Its performance is optimized with regards to required specifications e.g. distance, power consumption, BER, data rate, etc.The statistical modeling is used to capture the correlations among measured performance parameters and calibration modes for fast adaptation. Machine learning technique is used to capture these non-linear correlations and build the probability distribution of a target parameter based on measurement results of the correlated parameters. The proposed concept is demonstrated by embedding built-in tuning knobs in LNA design in 130nm technology. The tuning knobs are carefully designed to provide independent combinations of important per- formance parameters such as gain and linearity. Minimum number of switches are used to provide the desired tuning range without a need for an external analog input. / Dissertation/Thesis / Doctoral Dissertation Electrical Engineering 2018

There are several vulnerabilities and consequences resulting from the use of the authentication method of default username and password. This study uses the Mirai attack targeting Dyn in 2016 as the main motivation. The key vulnerability in the attack on Dyn, was the authentication method of default username and password. This study performs an analysis on the Internet of Things devices available for Swedish consumers with the focus on identifying and mapping devices using the method of default username and password. Other methods of authentication are also identified as well as analyzed. The results show that most of the devices does not use the authentication method of default username and password, this does not necessarily result in a simple answer on whether the product is secure or not. Factors such as how the authentication method is implemented and how the method works in the real-world is important. The information on implementation and real-world use found in the manuals has not always been clearly detailed by the manufacturers, raising further questions on the security of IoT devices.

The client in this study, Attentec, has seen an increase in the demand for services connected to Internet of things systems. This study is therefore examining if there is a tool that can be a used to build fast prototype visualisations of data from IoT systems to use as a tool in their daily work. The study started with an initial phase with two parts. The first part was to get better knowledge of Attentec and derive requirements for the tool and the second part was a comparison of prototyping tools for aiding in development of data visualisations. Apache Zeppelin was chosen as the most versatile and suitable tool matching the criteria defined together with Attentec. Following the initial phase a pre-study containing interviews to collect empirical data on how visualisations and IoT projects had been implemented previously at Attentec were performed. This lead to the conclusion that geospatial data and NoSQL databases were common for IoT projects. A technical investigation was conducted on Apache Zeppelin to answer if there were any limits in using the tool for characteristics common in IoT system. This investigation lead to the conclusion that there was no support for plotting data on a map. The first implementation phase implemented support for geospatial data by adding a visualisation plug-in that plotted data on a map. The implementation phase was followed by an evaluation phase in which 5 participants performed tasks with Apache Zeppelin to evaluate the perceived usability of the tool. The evaluation was performed using a System Usability Scale and a Summed Usability Metric as well as interviews with the participants to find where improvements could be made. From the evaluation three main problems were discovered, the import and mapping of data, more feature on the map visualisation plug-in and the creation of database queries. The first two were chosen for the second iteration where a script for generating the code to import data was developed as well as improvements to the geospatial visualisation plug-in. A second evaluation was performed after the changes were made using similar tasks as in the first to see if the usability was improved between the two evaluations. The results of the Summed Usability Metric improved on all tasks and the System Usability Scale showed no significant change. In the interviews with the participants they all responded that the perceived usability had improved between the two evaluations suggesting some improvement.

The heavy duty vehicle industry has today no requirement to providea tire pressure monitoring system by law. This has created issues sur-rounding unknown tire pressure and thread depth during active service.There is also no standardization for these kind of systems which meansthat different manufacturers and third party solutions work after theirown principles and it can be hard to know what works for a given vehicletype. National Highway Traffic Safety Administration (NHTSA) put out a new study that determined that underinflated tires of 25% or less are 3 times more likely to be involved in a crash related to tire issues versus vehicles with properly inflated tires. The objective for this thesis is to create an indirect tire monitoring system that can generalize a method that detect both incorrect tire pressure and thread depth for different type of vehicles within a fleet without the need for additional physical sensors or vehicle specific parameters. Drivec Bridge hardware interprets existing sensors from the vehicle. By using supervised machine learning a classifier was created for each axle where the main focus was the front axle which had the most issues.The classifier will classify the vehicles tires condition. The classifier will be implemented in Drivecs cloud service and use data to classify  the tires condition. The resulting classifier of the project is a random forest implemented in Python. The result from the front axle with a dataset consisting of 9767 samples of buses with correct tire condition and 1909 samples of buses with incorrect tire condition it has an accuracy of90.54% (±0.96%). The data sets are created from 34 unique measurements from buses between January and May 2017. The developed solution is called Indirect Tire Monitoring System (ITMS) and is seen as a process. The project group has verified with high accuracy that a vehicle has been classified as bad and then been reclassified as good over a time span of 16 days. At the first day offboard measurements were performed and it showed that the tires of the front axle were underinflated. The classifier indicated that the vehicle had bad classifications until day 14. At this day an offboard measurement was performed and it was concluded that they were no longer underinflated and the classifier indicated this as well. To verify the result the workshop was contacted and verified that the vehicle had changed tires of the front axle at day 14. This has verified that the classifier is able to detect change and stay consistent in the results over a longer time period.

The Internet of Things (IoT) is rapidly gaining ground in our daily life. There is a trend that the number of devices and data increases rapidly in the future. Meanwhile, IoT platforms are emerging to enable people conveniently deal with the IoT and these huge amount of data and devices. Therefore, the goal in this paper is to perform a quantitative evaluation on Microsoft Azure, one of the IoT platform, about its advantages and disadvantages under press to determine if Azure IoT is fit for future IoT. In order to reach this goal, Azure IoT Hub is used as a bridge to connect and manage lots of IoT devices which send and receive huge amount of data. .NET is used to simulate devices and connect them to the IoT Hub. The two-way communication from sensor to cloud and from cloud to actuator is implemented through MQTT protocol. This paper makes measurements on three metrics including response time from sensor sending messages to actuator receiving messages, scalability and cost and analyzes them in detail. Besides, the analysis is also made in a specific scenario which has high demand on sensor update to see how Azure IoT performs. Finally, conclusion is made on Microsoft Azure IoT's advantages and disadvantages under stress.

A quantidade de medicamentos falsificados e roubados ao longo da cadeia de suprimentos é um tema preocupante, colocando em risco a saúde do consumidor final. Iniciativas para reduzir a quantidade de medicamentos falsificados e garantir que não haja ruptura em sua distribuição são importantes. Em 2009, surgiu no Brasil o Sistema Nacional de Controle de Medicamentos, que tem como objetivos controlar os medicamentos vendidos no país e promover o desenvolvimento de melhores sistemas de rastreabilidade. O presente trabalho propõe um modelo de rastreabilidade alternativo a esta proposta, se baseando na identificação por radiofrequência, gôndolas inteligentes e no conceito de Internet das Coisas. Este permitiria um maior controle do sistema de rastreabilidade em relação às alternativas disponíveis atualmente. Para avaliar a alternativa proposta, elaborou-se um modelo de simulação de eventos discretos, comparando-a aos modelos atuais de rastreabilidade utilizando um software de simulação. A partir da simulação, verificou-se que o modelo proposto tem potencial para reduzir falsificações de medicamentos, impedir que haja ruptura da cadeia de suprimentos, e redução na quantidade de tratamentos interrompidos devido a estes fatores. Dessa forma, o modelo proposto por este trabalho não só sugere uma nova proposta de rastreabilidade, mas apresenta resultados provenientes da simulação, destacando as principais vantagens, se adotado. / The counterfeit and stolen number over medicines supply chain is a worrisome topic, setting patient\'s health in risk. Initiatives to reduce counterfeit medicines number and guarantee that there is no product out of stock in the distribution are important. Brazil created in 2009 the National Medicines Control System to control the market and medicines traceability. The present work proposes an alternative traceability model to the model proposed before, based on radiofrequency identification, smart shelves and internet of things concept. This permits a major medicines traceability control in order to other alternatives available. To evaluate the alternative proposal, it was elaborated a discrete model simulation, comparing the actual model and the alternative proposal, using a simulation software. From the simulation, it was verified that the alternative proposal from this present work has potential to reduce counterfeit medicines, preventing out of stock situations. This way, the present work proposal not only suggests a new traceability proposal, but shows simulations results, highlighting the main advantages, if adopted.

O termo Indústria 4.0 tornou-se, nos últimos anos, frequente nas discussões relativas à indústria. Sua origem é o programa alemão Industrie 4.0, que buscou fortalecer a competitividade do parque industrial do país aplicando novas tecnologias da informação e comunicação, à manufatura. Iniciativas semelhantes também foram criadas em outros países, como a americana Industrial Internet ofThings. No Brasil, o Banco Nacional de Desenvolvimento Econômico e Social (BNDES) e a Empresa Brasileira de Pesquisa e Inovação Industrial (EMBRAPII) conduzem programas de incentivo à pesquisa, sob o nome de Manufatura Avançada. Conceitos como cadeias de suprimentos integradas e Cyber-PhysicalProduction Systems (CPPS), aliados a aplicações de tecnologias como Internet ofThings e inteligência artificial, são comuns a todas essas iniciativas, com expectativas de grandes ganhos em flexibilidade da produção, em qualidade e em eficiência. A relação entre adoção tecnológica e impactos em negócio, porém, é apontada como indireta e complexa, pelos pesquisadores de gestão de sistemas de informação e gestão de operações. A literatura da gestão de operações aponta que, para o esperado impacto em desempenho, as tecnologias adotadas devem estar alinhadas com as prioridades competitivas e com o modelo de produção da companhia. Dessa forma, não são viáveis recomendações genéricas de adoção de sistemas que não levem em conta o segmento de atuação e o mercado atendido pela empresa. Outro fator importante é a aplicação de tecnologias que tenham surgido fora do ambiente industrial e não sejam familiares às equipes de tecnologia desse ambiente. Artefatos tecnológicos, quanto utilizados em diferentes contextos, apresentam capacidades diferentes. Da sociologia da tecnologia, o termo affordance determina a possibilidade de ação de um agente quando em contato com um determinado objeto. Uma ferramenta tecnológica pode permitir a seu usuário uma gama de diferentes ações, dependentes de seus objetivos e conhecimentos. Uma régua de cálculo, por exemplo, permite a realização de uma série de operações matemáticas a um utilizador que conheça seus mecanismos, mas tem pouca utilidade a usuários sem conhecimentos prévios sobre seu funcionamento. No contexto da manufatura avançada, a percepção dos affordances das novas tecnologias, para modelar suas aplicações, exigirá novos conhecimentos, hoje detidos por diferentes equipes da companhia. Com base nas teorias de affordances e de estratégia de operações este trabalho utilizou um framework como ponto inicial para a realização de estudos de caso, em cinco projetos, em três empresas brasileiras de grande porte. Para que o impacto de diferentes estratégias de manufatura nas tecnologias adotadas pudesse ser estudado, foram selecionadas empresas de segmentos distintos, representativos do parque brasileiro: açúcar e álcool, montagem de eletrônicos e bebidas. A disponibilidade de amplo conhecimento tecnológico se mostrou uma preocupação central dos gestores que buscam a implantação de projetos de Manufatura Avançada; sua ausência é muitas vezes vista como uma barreira para a adoção de recursos como sistemas com inteligência artificial. Nos casos estudados, alguns dos projetos só foram viabilizados com a formação de equipes muldisciplinares, capazes de lidar com combinações inovadoras de tecnologias de sistemas de informação e automação industrial ou agrícola. Esse resultado é condizente com a teoria de affordances que posiciona o conhecimento do usuário como central para a percepção das oportunidades de adoção de novas tecnologias. deaffordances. Empresas com diferentes prioridades estratégicas decidiram pela adoção de sistemas com diferentes características, demostrando que a Manufatura Avançada não pode ser vista como um conjunto único e rígido de abordagens. Projetos em atividades com maior pressão por redução de custos apresentaram grande ênfase na integração vertical, ao passo que a procura por maior flexibilidade leva à busca de recursos para integração horizontal. Novas tecnologias se mostraram capazes, ou demonstraram possuir affordances, não só para habilitar novas funcionalidades, mas para proporcionar recursos a custos expressivamente menores que suas predecessoras. Foram observados exemplos onde tecnologias de menor custo permitiram a expansão de projetos implantados parcialmente no passado ou, ainda, a implantação de projetos em áreas com características que os tornavam anteriormente financeiramente inviáveis. Em razão desses resultados, o framework proposto sofreu revisão passando a incluir a adoção de novas tecnologias por questões relacionadas a custo e à formação de equipes muldisciplinares. Esse novo framework é apresentado como a contribuição final deste trabalho, que se espera possa servir der base para futuras investigações sobre o tema. / Industry 4.0 has become a very common term in recent discussions about the industry. It was originated in the Industrie 4.0 German program, which aims to strengthen their national industrial park competitiveness using new information and communication technologies to the manufacturing. Similar initiatives were created in different countries, such as the American Industrial Internet of Things. The Banco Nacional de Desenvolvimento Econômico e Social (BNDES) andtheEmpresa Brasileira de Pesquisa e Inovação Industrial (EMBRAPII) are conducting in Braziltechnologyresearch incentive program, withthenameManufatura Avançada (Smart Manufacturing). In all these initiatives, concepts like integrated supply chains and Cyber-Physical Production Systems (CPPS), can be found with the same expectations of great improvements in productions flexibility, quality, and efficiency. The information systems management and operations management researchers say that the relationship between technology adoption and business impacts indirect and complex. The operations management literature shows that the adopted technologies have to be aligned with the competitive priorities and the company production model to generate the expected impact. Thereby generic system adoption recommendations are not possible, only taking account the company segment and its attended market. The application of technologies that have emerged outside the industrial environment and are not familiar with the technology teams of that environment is another important factor. If the utilization context of the technological artifact changes, their capabilities became different. The term affordance, in the technology sociology, is an agent action possibility when in when in contact with a given object. A technological tool can allow its users a range of different actions, depending on their goals and knowledge. A slide rule, for example, allows a series of mathematical operations to be performed by a user who knows their mechanisms, but has little use for users without prior knowledge of their operation. In the ManufaturaAvançada context, the technologies affordance perception, that shapes their applications, will require new knowledge, present in different departments today. Based on the affordance and operations strategy theories, this work applies a framework as a starting point for case studies conduction in five projects in three large Brazilian companies. In order to study the impact of different manufacturing strategies on technology adoption, were selected companies from different market segments that represent well the Brazilian industry: sugar and ethanol, electronics assembly, and beverages. The availability of extensive technological knowledge has been proven to be a central concern of managers seeking the implementation of Advanced Manufacturing projects. Its absence is often seen as a barrier to the adoption of features such as artificial intelligence systems. In the studied cases, some of the projects were only made possible by the formation of multidisciplinary teams capable of dealing with innovative combinations of information systems technologies and industrial or agricultural automation. This result is consistent with the theory of affordances where the user knowledge is central to the perception of the opportunities of adoption of new technologies. Companies with different strategic priorities decided to adopt systems with different characteristics, demonstrating that ManufaturaAvançadacan not be seen as a single and rigid set of approaches. Projects, in high pressure for cost reduction activities, have a great emphasis on vertical integration, while searching for greater flexibility leads to horizontal integration. New technologies have proved capable, or demonstrated to have affordances, not only to enable new features, but to provide features at significantly lower costs than their predecessors. Examples were observed where lower cost technologies allowed the expansion of partially implemented projects or the implementation of projects in areas with characteristics that made them previously financially infeasible Due to these results, the proposed framework underwent revision, including the adoption of new technologies due to costs and the formation of multidisciplinary teams. This new framework is presented as the final contribution of this work, which is expected to serve as the basis for future research on the subject.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES / In the last decade the internet has become a tool present in the daily lives of people and organizations and time essential to the smooth operation of businesses. With the increasing development of infrastructure networks and popularization mass of highspeed network, emerges a related Internet use advance making it a global platform to make intelligent machines and objects able to communicate up autonomously. This possibility enables content and services are around people, always available, facilitating communication and paving the way for new applications, enabling new forms of work, interaction and entertainment, making a new pattern of living and working is developed. This new standard is made possible through advances in Information and Communication Technologies - ICTs to a new design set to Internet of Things - IoT. However, with a varied collection of data and information for various purposes, in the daily lives of people and organizations, autonomous data collection and information makes privacy a major challenge regarding the IoT. In this context, this study aimed to investigate the aspects that determine the action of Internet technology users of Things to supply personal information in intelligent environments. The research was characterized as positivist, quantitative, exploratory and descriptive, its implementation took place through field research strategy, with the data collection instrument a self-administered questionnaire, which was available to respondents in Brazil. It was adopted in the analysis of data collected quantitative line based on statistical techniques, in which we attempted to cross the data in order to achieve the objective of the research. Among the main conclusions from the research, it intuited that the use of environment is a determining aspect to providing information to the intelligent environment of greater influence among other aspects found. It was noticed that users tend to devote considerable attention to security and privacy of information we have, providing them with qualifications and care. However sometimes transfer responsibility for security of the information to third parties seeking to reduce the maximum number of criteria to be considered before making the decision to make available their data. / Na ultima década a internet tornou-se uma ferramenta presente no cotidiano das pessoas e das organizações e por vez indispensável ao bom funcionamento dos negócios. Com o crescente incremento das infraestruturas de redes e popularização em massa da rede de alta velocidade, emerge um avanço relacionado à utilização da internet tornando-a uma plataforma global para deixar máquinas e objetos inteligentes capazes de comunicarem-se de forma autônoma. Esta possibilidade permite que conteúdos e serviços estejam em torno das pessoas, sempre disponíveis, facilitando a comunicação e abrindo o caminho para novas aplicações, possibilitando novas formas de trabalho, de interação e de entretenimento, fazendo com que um novo padrão de vida e de trabalho seja desenvolvido. Este novo padrão torna-se possível através dos avanços das Tecnologias da Informação e Comunicação - TIC’s até uma nova concepção definida como Internet of Things - IoT. Entretanto, com uma variada coleta de dados e informações, para variados fins, no cotidiano das pessoas e das organizações, a coleta autônoma dos dados e das informações torna a privacidade um dos principais desafios em relação à IoT. Neste contexto, esta pesquisa objetivou investigar os aspectos que determinam a ação dos usuários de tecnologias da Internet das Coisas ao fornecerem informações pessoais em ambientes inteligentes. A pesquisa caracterizou-se como positivista, de natureza quantitativa, do tipo exploratória e descritiva, sua implementação aconteceu por meio da estratégia de pesquisa de campo, tendo como instrumento de coleta de dados um questionário autoaplicável, que foi disponibilizado para respondentes em território brasileiro. Adotou-se na análise dos dados coletados uma linha quantitativa baseada em técnicas estatísticas, em que buscou-se cruzar os dados a fim de alcançar o objetivo da pesquisa. Dentre as principais conclusões decorrentes da pesquisa, intuiu-se que o ambiente de uso se configura como um aspecto determinante ao fornecimento de informação ao ambiente inteligente de maior influência entre os outros aspectos encontrados. Foi percebido que os usuários tendem a dedicar considerável atenção a segurança e a privacidade das informações que possuem, disponibilizando-as com ressalvas e cuidados. Contudo por vezes, transferem a responsabilidade pela segurança das informações para terceiros, buscando reduzir ao máximo o número de critérios a serem analisados antes de tomar a decisão de disponibilizar seus dados. / São Cristóvão, SE

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No. of bitstreams: 1 NAMEDIN-TESE-FINALIZADA.PDF: 9240706 bytes, checksum: 78feca64ce0f19f7657801377599ff22 (MD5) Previous issue date: 2018-02-26 / FAPEAM - Fundação de Amparo à Pesquisa do Estado do Amazonas / The Internet of Things or IoT is a paradigm of computing in which devices and objects of the physical world (e.g. televisions, refrigerators and conditioners air) are connected through the Internet, providing services and exchanging information between in a global scale. This new paradigm has led the market to present solutions that increasingly bring IoT closer to everyday life. Manufacturers such as Samsung, Philips, GE and Belkin already have hardware solutions (e.g. smartphones, smart TV, smart plugs and sensors) that allow users to interact with the environment, and can turn on, off and even view statistical data on power consumption these devices. However, the main platforms that allow IoT to be enabled are still little used due to their complexity, being restricted only to expert users, that is, users who have technical knowledge in IoT, not allowing non- expert users to adapt these solutions and create environments for IoT according to your needs. In this context, this work presents the Exodus framework, a new approach to IoT with a focus on expert user and non-expert user. Exodus is a solution for IoT that can be extended and adapted to meet the different needs of the environment such as the inclusion of new devices and services and / or the definition of new behaviors to the environment. In order to define the different behavior that the environment can take, the Exodus has a graphical solution that makes use of a conceptual model called BDM4IoT (Behavior Definition Model for Internet of Things Ecosystems) that together allow the users to model the behavior of the environment according to With their needs, allowing them to create from simple models such as a home lighting scheme to more complex models such as the behavior of a production line in an industrial environment. The results obtained with experiments carried out with the BDM4IoT model and with the graphical tool, demonstrate the efficiency of this approach, allowing the inclusion of non-expert users in processes previously performed only by IoT specialists. / Internet das Coisas ou IoT (do Inglês, Internet of Things) é um paradigma da computação no qual dispositivos e objetos do mundo físico (e.g. televisões, geladeiras e condicionadores de ar) estão conectados por meio da Internet, provendo serviços e trocando informações entre si em uma escala global. Esse novo paradigma tem levado o mercado a apresentar soluções que cada vez mais aproxima a IoT do cotidiano das pessoas. Fabricantes como Samsung, Philips, GE e Belkin já dispõem de soluções de hardware (e.g. smartphones, smart TV, smart plugs e sensores) que permitem que os usuários interajam com ambiente, podendo ligar, desligar e até mesmo visualizar dados estatísticos do consumo de energia desses dispositivos. No entanto, as principais plataformas que permitem habilitar a IoT ainda são pouco utilizadas devido à sua complexidade, sendo restritas apenas a usuários especialistas, ou seja, a usuários que possuem conhecimento técnico em IoT. Além disso, as atuais ferramentas não permitem que usuários não especialistas possam adaptar essas soluções e criar ambientes para IoT de acordo com as suas necessidades. Nesse contexto, esse trabalho apresenta o framework Êxodo, uma nova abordagem para IoT com foco em usuário especialista e no usuário não especialista. O Êxodo é uma solução para IoT que pode ser estendida e adaptada para atender as diferentes necessidades do ambiente como a inclusão de novos dispositivo e serviços e/ou a definição de novos comportamentos ao ambiente. Para a definição dos diferentes comportamento que o ambiente poderá assumir, o Êxodo possui uma solução gráfica que faz uso de um modelo conceitual denominado BDM4IoT (Behavior Definition Model for Internet of Things Ecosystems) que possibilita que os usuários modelem o comportamento do ambiente de acordo com as suas necessidades, permitindo que esses possam criar desde modelos simples, como um esquema de iluminação de uma casa, a modelos mais complexos, como o comportamento de uma linha de produção de um ambiente industrial. Os resultados obtidos com experimentos realizados com o framework Êxodo demonstram a eficiência dessa abordagem, possibilitando a inclusão de usuários não especialistas em processos antes realizados somente por usuários especialistas em IoT.