Unparallel Innovation (Portugal)

Applications for Extended Reality (XR) are rapidly expanding across a wide range of industries, including gaming, entertainment, and healthcare. Accompanying this trend is the field of digital manufacturing, which encompasses a broad range of applications such as quick product design, remote maintenance, production process simulation, employee safety, and training. Industrial personnel may benefit from ergonomic and user-friendly cyber-representations of production processes using XR applications, particularly in the industrial arena. These cyber-representations are utilized to create augmented environments for training, simulation, and testing. The wave of Industry 5.0 (I5.0) applications that are certain to be human-centric and emphasize trustworthy human-machine collaboration cannot be supported by current systems because of several issues, such as the requirement for individualized XR visualizations and new methods for world-building, content production, and flow control aspects of XR systems. The XR5.0 project is presented in this publication with the goal of addressing these issues and offering a revolutionary Person-Centric and AI-based XR paradigm that will be customized to the needs and characteristics of I5.0 applications. The project outlines the organizing concepts and guidelines for utilizing XR in I5.0 applications, with a focus on the creation of cutting-edge "XR-made-in-Europe" technology that complements human-centered manufacturing techniques and upholds European ideals. The associated applications consider the workers’ environment through the incorporation of human-centered digital twins (DTs), which make up the "digital image" of the workers. This allows for the simultaneous design and implementation of an innovative fusion of cutting-edge AI paradigms and XR technology. The added value of the XR5.0 project is discussed, and potential use cases and user journeys are analyzed, leading to a discussion of the project’s revolutionary benefits and additional steps that should be taken.

Developing software based on services is one of the most emerging programming paradigms in software development. Service-based software development relies on the composition of services (i.e., pieces of code already built and deployed in the cloud) through orchestrated API calls. Black-box reuse can play a prominent role when using this programming paradigm, in the sense that identifying and reusing already existing/deployed services can save substantial development effort. According to the literature, identifying reusable assets (i.e., components, classes, or services) is more successful and efficient when the discovery process is domain-specific. To facilitate domain-specific service discovery, we propose a service classification approach that can categorize services to an application domain, given only the service description. To validate the accuracy of our classification approach, we have trained a machine-learning model on thousands of open-source services and tested it on 67 services developed within two companies employing service-based software development. The study results suggest that the classification algorithm can perform adequately in a test set that does not overlap with the training set; thus, being (with some confidence) transferable to other industrial cases. Additionally, we expand the body of knowledge on software categorization by highlighting sets of domains that consist ‘grey-zones’ in service classification.

This paper presents the definition of a software architecture and implementation as open-source components specially designed for the state-of-art of Health IoT technologies. These activities were conducted through a H2020 project that developed a smart IoT solution for childhood obesity and two contracted Health IoT projects for the leading brazilian clinics in wound treatment. The software components and the guidelines presented in this paper are fully available as github repositories and contributors can find immediate application in Health IoT projects. A survey with contributors in four different countries was conducted about the way the realized software architecture addresses quality requirements for Health IoT. The results shows that the integration of components was the main concern of this team due to the distributed nature of the projects and the implementation of patterns such as API Gateway using open source technologies are very likely to be reused in the future. The initiative continues collecting user's experiences for continuous improvements and research goals.