SMART-M3 v.0.9: A semantic event processing engine supporting information level interoperability in ambient intelligence

This tutorial is addressed to all students in Electronic Engineering and Information Engineering at the Scuola di Ingegneria e Architettura of the University of Bologna attending the following courses: Laboratory of Interoperability of Embedded Systems, "Calcolatori Elettronici M" and "Attività Progettuale di Calcolatori Elettronici M". This tutorial includes the guidelines to build distributed applications where clients may interact with physical space. Inter-client interaction occurs through a semantic event processing engine. Information interoperability is based on a shared knowledge representation model named ontology. This tutorial is focused on client design and on the SPARQL primitives that provide the means for client-event processing engine interaction

An Integrated Framework to Achieve Interoperability in Person-Centric Health Management

The need for high-quality out-of-hospital healthcare is a known socioeconomic problem. Exploiting ICT's evolution, ad-hoc telemedicine solutions have been proposed in the past. Integrating such ad-hoc solutions in order to cost-effectively support the entire healthcare cycle is still a research challenge. In order to handle the heterogeneity of relevant information and to overcome the fragmentation of out-of-hospital instrumentation in person-centric healthcare systems, a shared and open source interoperability component can be adopted, which is ontology driven and based on the semantic web data model. The feasibility and the advantages of the proposed approach are demonstrated by presenting the use case of real-time monitoring of patients' health and their environmental context

A Sensor Network with Embedded Data Processing and Data-to-Cloud Capabilities for Vibration-Based Real-Time SHM

This work describes a network of low power/low-cost microelectromechanical- (MEMS-) based three-axial acceleration sensors with local data processing and data-to-cloud capabilities. In particular, the developed sensor nodes are capable to acquire acceleration time series and extract their frequency spectrum peaks, which are autonomously sent through an ad hoc developed gateway device to an online database using a dedicated transfer protocol. The developed network minimizes the power consumption to monitor remotely and in real time the acceleration spectra peaks at each sensor node. An experimental setup in which a network of 5 sensor nodes is used to monitor a simply supported steel beam in free vibration conditions is considered to test the performance of the implemented circuitry. The total weight and energy consumption of the entire network are, respectively, less than 50 g and 300 mW in continuous monitoring conditions. Results show a very good agreement between the measured natural vibration frequencies of the beam and the theoretical values estimated according to the classical closed formula. As such, the proposed monitoring network can be considered ideal for the SHM of civil structures like long-span bridges