Peter Rosengren

A Development Platform for Integrating Wireless Devices and Sensors into Ambient Intelligence Systems

The HYDRA project develops middleware for networked embedded systems that allow developers to create ambient intelligence (AmI) applications based on wireless devices and sensors. Through its unique combination of Service-oriented Architecture (SoA) and a semantic-based Model-Driven Architecture, HYDRA will enable the development of generic services based on open standards.

Application development for the Internet of Things: A context-aware mixed criticality systems development platform

Abstract The Internet of Things (IoT) is gaining momentum and may positively influence the automation of energy-efficiency management of smart buildings. However, the development of IoT-enabled applications still takes tremendous efforts due to the lack of proper tools. Many software components have to be developed from scratch, thus requiring huge amounts of effort, as developers must have a deep understanding of the technologies, the new application domain, and the interplay with legacy systems. In this paper we introduce the IMPReSS Systems Development Platform (SDP) that aims at reducing the complexity of developing IoT-enabled applications for supporting sensor data collection in buildings, managing automated system changes according to the context, and real-time prioritization of devices for controlling energy usage. The effectiveness of the SDP for the development of IoT-based context-aware and mixed-criticality applications was assessed by using it in four scenarios involving energy efficiency management in public buildings. Qualitative studies were undertaken with application developers in order to evaluate their perception of five key components of the SDP with regard to usability. The study revealed significant and encouraging results. Further, a quantitative performance analysis explored the scalability limits of the IMPReSS communication components.

Service-Oriented Middleware Architecture for Mobile Personal Health Monitoring

Developers of applications for health and wellness monitoring are facing a diversity of protocols, standards and communication mechanisms for collecting data from heterogeneous sensors, devices and services, as well as when exporting data to various health and wellness services and systems. The REACTION platform addresses this using a middleware approach which leverages the development tasks to a service-oriented level allowing developers to use open standard technologies like web services. The REACTION SOA (Service-Oriented Architecture) approach offers a scalable and inter-operable platform for use in different healthcare settings. The REACTION applications are based on numerous individual services that can be developed and deployed to perform clinical monitoring and feedback tasks, execute distributed decision support and security tasks, support work flow management, and perform event handling and crisis management.

Food Traceability Chain Supported by the Ebbits IoT Middleware

The paper presents the food traceability prototype, which was implemented as a pilot application of the FP7 EU project ebbits. The platform architecture, built upon the principles of the Internet of Things (IoT), People, and Services, is described in aspects of the supported interoperability and semantic orchestration of services involved in the food production chain. The platform represents physical objects as digital objects that go through different phases in the production chain. The information produced in each phase is stored by involved actors and could be retrieved back by the consumers through orchestrating services provided by the actors in the production chain. These services are resolved by a product service orchestration, which is supported by a semantic backend.

Using SOA for a Combined Telecare and Telehealth Platform for Monitoring of Elderly People

Remote monitoring is considered one key factor towards the improvement of elderly people’s quality of life and the reduction of healthcare costs. This paper discusses the prevailing network and software architectural principles in this sector and presents the way that they are applied into the inCASA platform. We emphasize on how services could be offered in a standard and re-usable way on top of the underlying physical layers. The aim is to apply Service Oriented Architecture (SOA) in a healthcare-based Internet of Things (IoT) environment. This approach supports a combined telecare and telehealth solution for monitoring of frail elderly people.

Evaluating Energy Profiles as Resource of Context and as Added Value in Integrated and Pervasive Socio-Medical Technologies using LinkSmart Middleware

The EU funded project inCASA has brought new insights in the field of socio-medical technology using the context-aware LinkSmart middleware. One of the main concerns that were experienced was whether separate medical devices could aggregate contextual information given by multiple environmental sensors within social care. Energy profiles were hypothesised to be able to substitute many of these in exchange for context information about a patient’s behaviour. A small study was conducted to review the energy profiles given by medical devices at dispose. Unluckily, the results showed that the medical devices do not expose relevant information in order to construct such profiles.

Prediction of electrical energy consumption for Internet of Things in disaggregated databases

Recently the increase of energy consumption has leveraged the development of solutions to save electricity. One of these solutions has been the creation of energy-saving policies based on energy forecasting in smart environments. The main idea behind this solution is that the residences are instrumented with sensor and actuator networks in order to monitor and manage energy consumption. This paper presents an analysis of global energy consumption forecasting in homes with aggregated and disaggregated databases and to achieve this goal some standard regression algorithms from the literature were used. It was observed that these type of algorithms are more effective when applied in disaggregated databases. The results with data collected from a real environment showed that the proposed approach is able to reduce the Root Mean Square Error (RMSE) up to 80%, compared to the global energy forecasting approach that uses aggregated databases.

Adopting Rule-Based Executions in SOA-Oriented Remote Patient Monitoring Platform with an Alarm and Alert Subsystem

Monitoring and event handling are important aspects in the EU funded REACTION project and its remote patient monitoring services. The REACTION platform is designed to let any application to be able to react ubiquitously to change in a patient’s health state and environment and perform pre-defined activities such as alarm handling according to pre-programmed rules. This paper presents and discusses the platform’s alarm and alert handling system out of technical perspectives.

ER-based Information Retrieval in a Mixed Database Environment

This paper presents an integrated Four Tools approach to providing an ER-based Information Retrieval Interface for mixed database environments, including relational, text, and picture databases. The Four Tools supports several types of interaction, formalised querying, exploratory ad-hoc browsing, schema navigation, and entity inspection. A combination of ER-models and hypermedia is applied in order to support exploratory searches following hyperlinks, yet maintaining orientation in the information space using the ER-model. The paper shows how previous research on ER-based Query Interfaces can be extended to the field of multimedia databases.