Fabio Vergari

RedSib: A smart-M3 semantic information broker implementation

Smart-M3 is an open source middleware solution originally released by Nokia as a prototype reference infrastructure to support context-aware ontology-driven smart applications. This paper proposes a renewedSmart-M3 Semantic Information Broker implementation with increased performance and usability levels. In the proposed solution many features have been added or modified, preserving compatibility with the previous release. The major changes are related to the subscription mechanism, the RDF store and the supported encodings for information representation and query. SPARQL query language replaces Wilbur. This paper enlightens the analysis carried out on the original implementation and discusses the choices made to increase its maturity level. The work done is a step forward towards a stable and efficient open interoperability platform for the emerging market of smart space based services.

A smart space application to dynamically relate medical and environmental information

In this paper we present a cross-domain application for ambient and health monitoring. The system architecture is intended to be openly extensible in order to fulfil unanticipated needs. Our implementation addresses diverse groups, from those requiring heart related monitoring, which could be dependent on the environmental conditions, to those who need to maximize environmental comfort under specified energy consumption constraints. In this application the ambient information is used to enrich the biomedical data and provide a more complete picture to the information consumers, such as doctors and building superintendents. The cross-domain nature of the scenario requires data interoperability, which is ensured by a shared Smart Space. The Smart Space represents the information in Resource Description Framework and its semantics are ontology driven. A simple ontology for the addressed information domain is also presented. The Smart Space platform is provided by the JTI Artemis SOFIA project.

An interoperable architecture for mobile smart services over the internet of energy

The Internet of Energy (IoE) for Electric Mobility is an European research project that aims at deploying a communication infrastructure to facilitate and support the operations of Electric Vehicles (EVs). In this paper, we present three research contributions of IoE. First, we describe a software architecture to support the deployment of mobile and smart services over an Electric Mobility (EM) scenario. The proposed architecture relies on an ontology-based data representation, on a shared repository of information (Service Information Broker), and on software modules (called Knowledge Processors -KPs) for standardized data access/management. As a result, information sharing among the different stakeholders of the EM scenario (i.e. EVs, EVSEs, City Services, etc) is enabled, and the interoperability of smart services offered by heterogeneous providers is guaranteed by the common ontology. Second, we rely on the proposed architecture to develop a remote charging reservation system, that runs on top of mobile smarthphones, and allows drivers to monitor the current state-of-charge of their EV, and to reserve a charging slot at a specific EVSE. Finally, we validate our architecture through a benchmark framework, that supports the embedding of mobile EV applications and of real KPs into a simulated vehicular scenario, including realistic traffic, wireless communication and battery models. Evaluation results confirm the scalability of our architecture, and the ability to support EVs charging operations on a large-scale scenario (i.e. the downtown of Bologna).

A Semantic Publish-Subscribe Architecture for the Internet of Things

This paper presents a publish-subscribe architecture designed to support information level interoperability in smart space applications in the Internet of Things (IoT). The architecture is built on top of a generic SPARQL endpoint where publishers and subscribers use standard SPARQL Updates and Queries. Notifications about events [i.e., changes in the resource description framework (RDF) knowledge base] are expressed in terms of added and removed SPARQL binding results since the previous notification, limiting the network overhead and facilitating notification processing at subscriber side. A novel event detection algorithm, tailored on the IoT specificities (i.e., heterogeneous events need to be detected and continuous updates of few RDF triples dominate with respect to more complex updates), is presented along with the envisioned application design pattern and performance evaluation model. Eventually, a reference implementation is evaluated against a benchmark inspired by a smart city lighting case. The performance evaluation results show the capability to process up to 68k subscriptions/s triggered by simple single-lamp updates and up to 3.8k subscriptions/s triggered by more complex updates (i.e., 10 to 100 lamps).

Smart applications for the maintenance of large buildings: How to achieve ontology-based interoperability at the information level

Industrial applications for smart environments call for techniques and methodologies to improve interoperability, reusability, and easy integration with existing applications, thus reducing development costs and time-to-market. This paper presents a novel and practical approach to smart context-aware applications for the maintenance of large buildings, where ontology-based interoperability is exploited to enable the easy integration of multivendor multiplatform devices/sensors with existing applications. The proposed solution has been designed and implemented on top of the smart environment architecture developed within the SOFIA project. In particular, the paper shows how it is possible to realize a set of context-aware smart maintenance applications capable of monitoring environmental variables, automatically detecting building-related faults, and promptly calling for specific interventions in a multi-modal way, always by carefully considering cross-industry interoperability.

An Integrated Simulation Framework to Model Electric Vehicle Operations and Services

At present, battery-charging operations constitute one of the most critical obstacles toward a large-scale uptake of electric mobility (EM), due to performance issues and implementation complexities. Although several solutions based on the utilization of information and communication technologies and on mobile applications have been investigated to assist electric vehicle (EV) drivers and to coordinate charging operations, there is still the problem of how to evaluate and validate such solutions on realistic scenarios, due to the lack of accurate simulators integrating vehicular mobility, wireless communication, and battery charging/discharging models. In this paper, we attempt to fill this gap by proposing a novel EV simulation platform that can assist in the predeployment of charging infrastructures and services on realistic large-scale EM scenarios. The simulation platform, which is realized within the ARTEMIS EU project “Internet of Energy for Electric Mobility,” supports two utilization modes, i.e., evaluation of EM scenarios and immersive emulation of EM-related mobile applications, due to a semantic architecture through which virtual and real components can be integrated in a seamless way. We provide three major contributions with respect to the state of the art. First, we extend the existing cosimulation platform composed of SUMO (a vehicular traffic simulator) and OMNET++ (a network simulator) with realistic models of EVs, electric vehicle supply equipment, and ontology-based communication protocols that enable the deployment of city-wide mobile services (e.g., charging reservation). Second, we validate the battery model against the consumptions data of target EVs, and we evaluate the operations of EVs on a large-scale scenario (the city of Bologna, Italy), by analyzing the effectiveness of the charging reservation process and the resulting impact to the smart grid. Finally, we introduce the Mobile Application Zoo, which is a sandbox through which EM-related mobile applications can be seamlessly integrated within the simulation platform to be validated on virtual environments before their deployment on real scenarios, and we describe the implementation of an Android application for battery monitoring and charging reservation.

A wireless and context-aware ECG monitor : An iMote2 based portable system

This paper presents a portable monitoring system for ECG data. The system consists of an iMote2 with its sensor board (a platform from Intel Research), a custom ECG board, and a Bluetooth module capable of transmitting information to a smart phone. The iMote2 has the task of contextualizing the ECG data by adding not only accelerometer data, but ambient information as well. The integration of a subjectpsilas activity from accelerometers and environmental data like temperature, humidity, and light intensity will give a better general picture of where the changes in ECG data come from. The system visualizes the information on a portable Windows Mobile handheld with the possibility of transmitting the information to a remote server for later use or re-use. The overall result is a system which provides a clean ECG signal for classification to be run on the iMote2, where further processing and visualization can be performed by add-on mobile devices.

The integration of e-health into the clinical workflow --- electronic health record and standardization efforts

The continuous increase in the number of different devices within medical information systems produces a large amount of heterogenic clinical information which must be integrated and correctly stored in order to improve patients health and decrease healthcare costs. The use of the universally recognized standards of information and knowledge transmission and storage can be an excellent instrument to develop innovative eHealth solution. A EN13606 compliant telemonitoring solution is described in this paper; it is based on a collection and a semantic organization of sensor data, a standardized information transmission and storage within an internal repository during the monitoring period. This solution represents an example of care continuum concretization completely integrated with the European Health System directives.