Architecture to Support Quality of Service in Arrowhead Systems

Presented at INForum - Simpósio de Informática (INFORUM 2015). 7 to 8, Sep, 2015. Covilhã, Portugal.The Arrowhead project [1] considers to normalize all interactions involving embedded systems by mediating them through services. The Service Oriented Architecture (SOA) paradigm is applied to both the interactions that provide the service requested by the user, and other support actions such as the authentication and registration of the devices, and the services they provide, the look-up of devices and service provided, and orchestration of services for creation of more complex services. To this purpose, services are divided into Core Services, which are present in every environment supporting Arrowhead applications, and user services that implement the applications. The Core Services set comprises, at least, Authentication Service, Registration Service and Orchestration Service

A multiple logical ring approach to real-time wireless-enabled PROFIBUS networks

Tese de Doutoramento. Engenharia Electrotécnica e de Computadores. Faculdade de Engenharia. Universidade do Porto. 200

The Industrial Internet of Things

Demo in 22º Seminário da Rede Temática de Comunicações Móveis (RTCM 2017). 18, Jan, 2017, Session III. Lisboa.The application of the Internet of Things to manufacturing is the driving force of the new industrial revolution (Industrie 4.0). In fact, most activities in the manufacturing industry can benefit from the data collected in the context of the industrial process. The Industrial Internet of Things (IIoT), whose pillars are the usage of IP communication between the devices and making the devices accessible through the Internet, can maximize the benefits of the information by the integration between multiple data sources, and by the ubiquitous fruition of the information itself. It is common belief that IIoT will transform companies and countries, opening up a new era of economic growth and competitiveness, since it has great potential for improving quality control, sustainable and green practices, supply chain traceability, and maintenance of the user in the loop. Anyway, a number of challenges arise in this context, related for example to adaptability and scalability, real-time communication and QoS, and system deployment and management. A communication middleware can support the IIoT vision by coping with these issues. This talk introduces the IIoT, discusses its benefits and challenges, and presents communication middleware developed in different sub-areas of IIoT (service-oriented industrial informatics [1], smart grids [2], maintenance of industrial machines [3]) that enable the IIoT vision.info:eu-repo/semantics/publishedVersio

An IoT Cloud and Big Data Architecture for the Maintenance of Home Appliances

Billions of interconnected Internet of Things (IoT) sensors and devices collect tremendous amounts of data from real-world scenarios. Big data is generating increasing interest in a wide range of industries. Once data is analyzed through compute-intensive Machine Learning (ML) methods, it can derive critical business value for organizations. Powerfulplatforms are essential to handle and process such massive collections of information cost-effectively and conveniently. This work introduces a distributed and scalable platform architecture that can be deployed for efficient real-world big data collection and analytics. The proposed system was tested with a case study for Predictive Maintenance of Home Appliances, where current and vibration sensors with high acquisition frequency were connected to washing machines and refrigerators. The introduced platform was used to collect, store, and analyze the data. The experimental results demonstrated that the presented system could be advantageous for tackling real-world IoT scenarios in a cost-effective and local approach.Comment: 6 pages, 6 figures, IECON 202

Current advancements on maintenance for household appliances

This communication describes research and development directions that are being explored for the creation of a maintenance system for home appliances. The solution will enable a faster and more accurate automation of after-sale services for home appliances. It will be based on three tiers: data acquisition, data analysis and business tiers. The communication provides a context for the work, both regarding the application area in general and the three tiers, and then describes the objectives of the system being designed.info:eu-repo/semantics/publishedVersio

Unstable Angina: Risk Stratification for Significant Coronary Artery Disease in The Era of High-Sensitivity Cardiac Troponin

Introduction: High-sensitivity troponin (hsTn) has a very high diagnostic accuracy for myocardial infarction (MI), and patients who were formerly diagnosed with unstable angina (UA) are being reclassified as having NSTEMI in the era of hsTn. This paradigm shift has changed the clinical features of UA, which remain poorly characterized, specifically the occurrence of obstructive coronary artery disease (CAD) and the need for myocardial revascularization. The main purpose of this study was to clinically characterize contemporary UA patients, assess predictors of obstructive CAD, and develop a risk model to predict significant CAD in this population. Methods: We conducted a retrospective cohort study of 742 patients admitted to the hospital with UA. All patients underwent coronary angiography. The endpoint of the study was the presence of obstructive CAD on angiography. The cohort was divided into two groups: patients with significant coronary artery disease (CAD+) and those without CAD (CAD–). We developed a score (UA CAD Risk) based on the multivariate model and compared it with the GRACE, ESC, and TIMI risk scores using ROC analysis. Results: Obstructive CAD was observed on angiography in 53% of the patients. Age, dyslipidemia, troponin level, male sex, ST-segment depression, and wall motion abnormalities on echocardiography were independent predictors of obstructive CAD. hsTn levels (undetectable vs. nonsignificant detection) had a negative predictive value of 81% to exclude obstructive CAD. We developed a prediction model with obstructive CAD as the outcome (AUC: 0.60). Conclusions: In a contemporary UA cohort, approximately 50% of the patients did not have obstructive CAD on angiography. Commonly available cardiac tests at hospital admission show limited discrimination power in identifying patients at risk of obstructive CAD. A revised diagnostic and etiology algorithm for patients with UA is warranted

Quality of Service on the Arrowhead Framework

13th IEEE International Workshop on Factory Communication Systems (WFCS 2017). 31, May to 2, Jun, 2017. Trondheim, Norway.Quality of Service (QoS) is an important enabler for communication in industrial environments. The Arrowhead Framework was created to support local cloud functionalities for automation applications by means of a Service Oriented Architecture. To this aim, the framework offers a number of services that ease application development, among them the QoSSetup and the Monitor services, the first used to verify and configure QoS in the local cloud, and the second for online monitoring of QoS. This paper describes how the QoSSetup and Monitor services are provided in a Arrowhead-compliant System of Systems, detailing both the principles and algorithms employed, and how the services are implemented. Experimental results are provided, from a demonstrator built over a real-time Ethernet network.info:eu-repo/semantics/publishedVersio

A Pilot for Proactive Maintenance in Industry 4.0

13th IEEE International Workshop on Factory Communication Systems (WFCS 2017). 31, May to 2, Jun, 2017. Trondheim, Norway.The reliability and safety of industrial machines depends on their timely maintenance. The integration of Cyber Physical Systems within the maintenance process enables both continuous machine monitoring and the application of advanced techniques for predictive and proactive machine maintenance. The building blocks for this revolution – embedded sensors, efficient preprocessing capabilities, ubiquitous connection to the internet, cloud-based analysis of the data, prediction algorithms, and advanced visualization methods – are already in place, but several hurdles have to be overcome to enable their application in real scenarios, namely: the integration with existing machines and existing maintenance processes. Current research and development efforts are building pilots and prototypes to demonstrate the feasibility and the merits of advanced maintenance techniques, and this paper describes a system for the industrial maintenance of sheet metal working machineryinfo:eu-repo/semantics/publishedVersio