The M3 architecture for smart spaces: Overview of semantic information broker implementations

A smart space enhances a networked computing environment by enabling information sharing for a multitude of local digital devices and global resources from the Internet. We consider the M3 architecture (multi-device, multi-vendor, multi-domain) for creating smart spaces, which integrates technologies from two innovative concepts: the Semantic Web and the Internet of Things. Our research focus is on analyses of the capabilities of Smart-M3 platform, which provides software implementations for such a central element of an M3 smart space as Semantic Information Broker (SIB). The paper presents a state-of-the-art and contributes our systematized vision on the SIB design and implementation. The analyzed open source SIB implementations include the original Smart-M3 piglet-based SIB, its optimized descendant RedSIB, OSGi SIB for Java devices, pySIB for Python devices, and CuteSIB for Qt devices. We also analyze the design of proprietary or incomplete SIB implementations: RIBS for embedded devices and ADK SIB built upon the OSGi framework with integration in the Eclipse Integrated Development Environment. The theoretical study is augmented with experimental evaluation of available SIB implementations

An analysis matrix for the assessment of smart city technologies: main results of its application

The paper presents the main results of a previously developed methodology to better evaluate new technologies in Smart Cities, using a tool to evaluate different systems and technologies regarding their usefulness, considering each application and how technologies can impact the physical space and natural environment. Technologies have also been evaluated according to how they are used by citizens, who must be the main concern of all urban development. Through a survey conducted among the Smart City Spanish network (RECI) we found that the ICT’s that change our cities everyday must be reviewed, developing an innovative methodology in order to find an analysis matrix to assess and score all the technologies that affect a Smart City strategy. The paper provides the results of this methodology regarding the three main aspects to be considered in urban developments: mobility, energy efficiency, and quality of life after obtaining the final score for every analyzed technology. This methodology fulfills an identified need to study how new technologies could affect urban scenarios before being applied, developing an analysis system to be used by urban planners and policy-makers to decide how best to use them, and this paper tries to show, in a simple way, how they can appreciate the variances between different solutions.The authors would like to acknowledge Spanish Ministry of Economy and Competitiveness for the financial support through TEC2016-78047-R and Government of Navarra (Spain) Research Grants

Evaluating a sensor of skin conductance to assess dental anxiety

Tese de mestrado, Bioinformática e Biologia Computacional (Bioinformática), Universidade de Lisboa, Faculdade de Ciências, 2015The anxiety related problems that adult population experience, are a common issue in Dental Practice. To overcome these problems it would be helpful to have an objective measure of the current anxiety of the patient. With this information, it should be possible to link the measured anxiety to an automated system that could distract the patient by altering the surrounding environment, i.e. Ambient Intelligence. This project consisted in measuring the skin conductance signal and correlating the responses related with documented dental stressful procedures. This was executed in a real clinical environment. Dental anxiety was assessed in over 70 patients with a 3 question survey using the Likert scale. Each answer was registered together with the level of skin conductance measured with a sensor placed in the patient fingers. The results showed a significant association between the dental anxiety score on two of the questions and the quantified skin electrodermal response. These findings aim to help design a future system based on ambient intelligence to distract and reduce dental anxiety during treatment.Uma parte significativa da população adulta tem problemas provocados pela ansiedade originada com a ida à consulta de Medicina Dentária. Seria vantajoso existir uma avaliação objetiva do nível de ansiedade do paciente durante a consulta para se ultrapassar estes problemas. Com esta informação seria possível alterar o ambiente envolvente através da ligação a um sistema automatizado inteligente para a distração do paciente durante a consulta. Este projeto consistiu na medição do sinal de condutividade da pele e correlação desta com as respostas a um questionário relacionado com atos dentários reconhecidos como causadores de grande ansiedade dentária. A ansiedade dentária foi avaliada em cerca de setenta pacientes por um questionário de três perguntas utilizando uma escala de Likert. Simultaneamente foi medida a condutividade da pele por um sensor colocado nos dedos da mão. Os resultados mostram uma associação significativa entre o nível de ansiedade obtido em duas das questões e a alteração da condutividade da pele. Estes resultados visam fornecer uma base para desenhar um futuro sistema de Ambiente Inteligente para distração da ansiedade dentária