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- Challenges in smart spaces: aware of users, preferences, behaviours and habitsPublication . Oliveira, Pedro Filipe; Novais, Paulo; Matos, PauloThere are new opportunities for research in the field of smart environments that should be explored. The concepts of smart homes and home automation, are currently in growing expansion in the scientific and research point of view, as the market demands for better solutions in this field. Users want that those spaces smartly adapt to their preferences in a transparent way. This paper describes the process of planning, reasoning and modeling of a Smart Environment, using emerging wearable devices on the market (smart watches, fitness trackers, etc.) and newer technologies like NFC, BLE and Wi-Fi Direct. Enabling the user to optimize the efficiency, comfort, and safety at the environments.
- Generating real context data to test user dependent systems - application to multi-agent systemsPublication . Oliveira, Pedro Filipe; Novais, Paulo; Matos, PauloThis paper, deals with the usually need of data to simulate behavior and efficiency of proposed solutions in several fields, and also knowing that personal data always bring privacy and security issues. This work wants to promote a balanced solution between the need of personal information and the user’s privacy expectations. We propose a solution to overcome these issues, and don’t compromise the balance between security and personal comfort based on generating real context data of users, that allow to test user dependent systems.
- Towards to secure an IoT adaptive environment systemPublication . Oliveira, Pedro Filipe; Pedrosa, Tiago; Novais, Paulo; Matos, PauloThis paper, deals with the actual problem of secure an IoT adaptive system, namely using secure techniques to secure a Smart Environment System, and the privacy of their users. On a new era of interaction between persons and physical spaces, users want that those spaces smartly adapt to their preferences in a transparent way. This work wants to promote a balanced solution between the need of personal information and the user’s privacy expectations. We propose a solution based on requiring the minimal information possible, together with techniques to anonymize and disassociate the preferences from the users.
- Multi-agent system to manage users and spaces in a adaptive environment systemPublication . Oliveira, Pedro Filipe; Novais, Paulo; Matos, PauloThis paper, deals with the current problem of managing user preferences and local specifications in an IoT adaptive system, namely using a multi-agent system to achieve a Smart Environment System. In a new era of interaction between persons and physical spaces, users want those spaces smartly adapt to their preferences in a transparent way. To achieve that, new approaches are needed. The Artificial Intelligence field continues with an exponential growth, especially in the applicability to different sectors. Currently, multi-agent systems have been used to solve diverse situations, particularly in the AmI field, which is characterized by the creation of ubiquitous environments, interconnecting different technologies to perform common tasks of the user’s daily life, autonomously, proactively and independently of the interaction of this. This project proposes also a solution using a multi-agent system, which includes a multi agent system architecture with different layers to achieve a solution that entails all the objectives put forward and later will be implemented and tested.
- A multi-agent system to manage users and spaces in a adaptive environment systemPublication . Oliveira, Pedro Filipe; Novais, Paulo; Matos, PauloThis paper, deals with the actual problem of manage user preferences and local speci cations on an IoT adaptive system, namely using a multi agent system to achieve a Smart Environment System. On a new era of interaction between persons and physical spaces, users want those spaces smartly adapt to their preferences in a transparent way. To achieve that, new approaches are needed. In this project we develop a multi agent system architecture with di erent layers to achieve a solution that entails all the proposed objectives.
- Sistema multi-agente para a gestão de utilizadores e espaços num ambiente adaptativoPublication . Oliveira, Pedro Filipe; Novais, Paulo; Matos, PauloEste artigo trata do problema atual de gerir as preferências de utilizadores e as especificações locais num sistema adaptável da Internet das coisas (IoT), nomeadamente através da utilização de um sistema multi-agente para obter um sistema de ambiente inteligente. Numa nova era de interação entre pessoas e espaços físicos, os utilizadores esperam que esses espaços se adaptem de maneira inteligente às suas preferências de maneira transparente e não invasiva. Para isso, são necessárias novas abordagens. O campo de Inteligência Artificial continua com uma taxa de crescimento exponencial, especialmente na aplicabilidade nos diferentes setores. Atualmente, sistemas multi-agente têm sido utilizados para resolver diversas situações. Particularmente no campo de ambientes inteligentes (AmI), que se caracteriza pela criação de ambientes omnipresentes, interconectando diferentes tecnologias para executar tarefas comuns da vida quotidiana do utilizador, de forma autónoma, proactiva e independente da interação do utilizador. Este projeto propõe também uma solução utilizando um sistema multi-agente, bem como uma proposta de solução, que inclui a arquitetura do sistema multi-agente com diferentes camadas, desenvolvida para alcançar uma solução que permita atingir todos os objetivos propostos, e que posteriormente será implementada e testada.
- Behaviour analysis in smart spacesPublication . Oliveira, Pedro Filipe; Matos, Paulo; Novais, PauloWe are on a new era of interaction between persons and physical spaces. Users want that those spaces smartly adapt to their preferences in a transparent way. This paper describes the process of planning, reasoning and modeling of a Smart Environment with domestic and industrial application, taking advantage of emerging wearable devices on the market (smart watches, fitness trackers, etc.) and newer wireless communication technologies (NFC, BLE, Wi-Fi Direct). Enabling in a noninvasive way for the user, optimize the efficiency, comfort, and safety at the environments. This approach can be applied in home automation, public spaces and also incorporated at industrial level, to help build smart and autonomous factories.
- Simulation of user habits in a context of intelligent environmentsPublication . Oliveira, Pedro Filipe; Matos, PauloIn most of the research projects carried out, data are usually needed to simulate the behavior and efficiency of the proposed solutions, since it is necessary to use them to validate and test the research carried out at the most diverse levels. The development of this project also arises from the need to gather information on the comfort preferences (temperature, humidity, musical playlist, musical genre, etc.) of multiple users. And besides that, also have the information of how each user adapts their preferences to the place where it is. This information, in addition to being necessary on a large scale (hundreds of users), would also be necessary in a very broad timeframe, always longer than one year. As it is known that comfort preferences normally vary according to a seasonal character, namely at the level of the seasons. Getting data with this dimension and involving so many users is a difficult task and, in addition to the users collaboration, would require a high cost, regarding the equipment needed to collect this information. Thus an algorithm was created, which simulates not only the variation of preferences of the different users, but also their daily life, taking into account the different places that it frequents (home, work, places of leisure). In addition, the relationship between users is also established, introducing the concept of family as well as co-workers.With this work, and the algorithm developed, were achieved in full the objectives proposed for this project.