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

A web of things approach for indoor position monitoring of elderly and impaired people

Helping, assisting and taking care of the elderly and of impaired people is one of the greatest challenges in our society. Within this paper, we propose a new approach for indoor position monitoring of people, aiming to identify in real time dangerous situations. In order to boost interoperability and continuous adaptation of the devices used, a Web Of Things based solution will be proposed and evaluated. Our contribution, in particular, consists of a portable and user friendly Radio Frequency IDentification (RFID) reader exploiting monopulse radar and beam-steering capabilities. Such hardware, exploiting a set of software modules, will be located in an environment easily accessible and extensible to a growing number of devices. The application will be the result of the cooperation between software and hardware, eventually outlining a real and completely flexible Web Of Things environment

Development of collaborative editing applications through semantic publish-subscribe platforms

Cloud computing revolutionized the way resources (i.e. services and data) are accessed and used. Among the many changes in data processing and service provision paradigms, Software as a Service (SaaS) and collaborative editing are two of the most significant. This paper presents an approach based on semantic publish/subscribe paradigm to the development of collaborative editing applications. The main aim of this research work consists in exploiting emerging technologies (i.e. semantic web data representation formalisms, publish-subscribe platforms) in order to (1) overcome limitations coming from the traditional paradigm of single-author workflows, (2) enhance the editing capabilities of the users, (3) ease the development and maintainment of applications and (4) provide a shared high- level abstraction of the documents that fosters information-level interoperability and reusability. The proposed approach is then validated through an ad-hoc vector graphics application, SCEd (Semantic Collaborative Editor) built upon a SPARQL Event Processing Architecture derived from the Smart-M3 semantic publish-subscribe platform

Dual-mode wake-up nodes for IoT monitoring applications: Measurements and algorithms

Internet of Things (IoTs)-based monitoring applications usually involve large-scale deployments of battery-enabled sensor nodes providing measurements at regular intervals. In order to guarantee the service continuity over time, the energy-efficiency of the networked system should be maximized. In this paper, we address such issue via a combination of novel hardware/software solutions including new classes of Wake-up radio IoT Nodes (WuNs) and novel data- and hardware-driven network management algorithms. Three main contributions are provided. First, we present the design and prototype implementation of WuN nodes able to support two different energy-saving modes; such modes can be configured via software, and hence dynamically tuned. Second, we show by experimental measurements that the optimal policy strictly depends on the application requirements. Third, we move from the node design to the network design, and we devise proper orchestration algorithms which select both the optimal set of WuN to wake-up and the proper energy-saving mode for each WuN, so that the application lifetime is maximized, while the redundancy of correlated measurements is minimized. The proposed solutions are extensively evaluated via OMNeT++ simulations under different IoT scenarios and requirements of the monitoring applications

Impact of Interdisciplinary Research on Planning, Running, and Managing Electromobility as a Smart Grid Extension

The smart grid is concerned with energy efficiency and with the environment, being a countermeasure against the territory devastations that may originate by the fossil fuel mining industry feeding the conventional power grids. This paper deals with the integration between the electromobility and the urban power distribution network in a smart grid framework, i.e., a multi-stakeholder and multi-Internet ecosystem (Internet of Information, Internet of Energy, and Internet of Things) with edge computing capabilities supported by cloud-level services and with clean mapping between the logical and physical entities involved and their stakeholders. In particular, this paper presents some of the results obtained by us in several European projects that refer to the development of a traffic and power network co-simulation tool for electro mobility planning, platforms for recharging services, and communication and service management architectures supporting interoperability and other qualities required for the implementation of the smart grid framework. For each contribution, this paper describes the inter-disciplinary characteristics of the proposed approaches