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Together with AIT – Austrian Institute of Technology – Salzburg Research is supporting Tourism Salzburg GmbH and Altstadt Salzburg in this multi-annual project as competence partner for the evaluation, planning and realisation of a system for smart visitor management.

[…] and the applications. Starting from an overview of industrial information models, the paper describes a recent research approach towards semantic interoperability concepts for data-driven digital twin in manufacturing systems. It gives an architectural overview of a platform for the integration of operational management systems and connected assets based on semantic integration patterns. The paper describes the initial concepts of the underlying research project “i-Twin”. Die Autoren des ausgezeichneten Papers (v.l.n.r.:) Reinhard Mayr (COPA-DATA), Dietmar Glachs, Georg Güntner und Felix strohmeier (Salzburg Research) The publication: Strohmeier, Felix; Güntner, Georg; Glachs, Dietmar; Mayr, Reinhard (2022): Semantic Integration Patterns for Industry 4.0. In: Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics – EI2N, Valletta, Malta, ISBN 978-989-758-612-5; ISSN 2184-9285, pages 197-205. DOI: 10.5220/0011550100003329. The research project: i-Twin – Semantic Integration Patterns for Data-driven Digital Twins in the Manufacturing Industry Congratulations! Die Autoren des ausgezeichneten Papers (v.l.n.r.:) Reinhard Mayr (COPA-DATA), Dietmar Glachs, Georg […]

In the manufacturing industry, digital twins have emerged as a key technological concept for the creation and use of digital representations of assets and their associated processes. In emerging networked manufacturing systems, digital twins of machines or components do not reside within one specific application, platform or edge node, but they ideally consume and deliver information (e.g. sensor data, master data) to all connected applications in the operational systems. This results in complex integration requirements for both, the assets and the applications. Starting from an overview of industrial information models, the paper describes a recent research approach towards semantic interoperability concepts for data-driven digital twin in manufacturing systems. It gives an architectural overview of a platform for the integration of operational management systems and connected assets based on semantic integration patterns. The paper describes the initial concepts of the underlying research project “i-Twin”.  

The capability to provide guarantees for network metrics, such as latency, data rate, and reliability will be an important factor for widespread adoption of next generation mobile networks and hence, such metrics play a central role in standards for new wireless communication technologies. However, due to the inherently stochastic nature of mobile communications, any guarantees can only be of statistical nature and are highly dependent on the actual physical environment. To analyze the stochastic behavior, this paper presents a tool chain for measurement, collection, evaluation, and prediction of controlled mobile communications drive test data. We also publish the underlying data set of measurements covering two years’ worth of highway traffic on a 25 km long section comprising 267 198 data points. We statistically evaluate the data set and validate it with a corresponding data set from another source. Applying machine learning to the data set illustrates possible use cases: Feed-forward neural networks to predict the […]

Can people be encouraged to adopt a more sustainable lifestyle with digital tools? The research results are promising: a personal mobility app with playful elements and incentives motivates people to cycle more and use sustainable services in the city. Many cities are trying to integrate the United Nations Sustainable Development Goals into their policies. In doing so, they are confronted with numerous challenges: One of the biggest challenges is the adjustment of the “modal split”, the distribution of traffic among different modes or means of transport. Therefore, cities want to change the mobility behaviour of their citizens. Promoting sustainable behaviour or only informing about it, however, does not motivate sufficiently. “We have therefore investigated how motivational techniques using data from a personal mobility tracker can be used to influence citizens’ personal mobility,” innovation researcher Luger-Bazinger continues. Within the European research project SimpliCITY, effective strategies were developed to promote sustainable behaviour. Citizens were addressed by means […]

Background: Hiking is one of the most popular forms of exercise in the alpine region. However, besides its health benefits, hiking is the alpine activity with the highest incidence of cardiac events. Most incidents occur due to overexertion or underestimation of the physiological strain of hiking. Objective: This project will establish a standardized cardio trekking test trail to evaluate the exercise capacity of tourists within hiking areas and deliver a tool for the prevention of hiking-associated cardiac incidents. Further, individual exercise intensity for a hiking tour will be predicted and visualized in digital maps. Methods: This cooperation study between Austria and Germany will first validate a 1-km outdoor cardio trekking test trail at 2 different study sites. Then, exercise intensity measures on 8-km hiking trails will be evaluated during hiking to estimate overall hiking intensity. A total of 144 healthy adults (aged >45 years) will perform a treadmill test in the laboratory and a 1-km […]

Willst du auch zur Mobilitätswende beitragen und dein Know-how in aktuellen sowie zukünftigen Forschungsprojekten einbringen? Dann bewirb dich bei uns für eine Teilzeitposition (min. 12 Std.) Ausschreibung als PDF Erforsche die Dynamik und Innovationen einer Smart Region! Salzburg Research bietet als unabhängiges Forschungsinstitut Know-how und nachhaltige Lösungen für komplexe Herausforderungen im Internet der Dinge. Wir sind Think-Tank für innovative Unternehmen unterschiedlichster Branchen und die öffentliche Hand – international orientiert und der Region verpflichtet. Du hast Interesse daran, wie sich die Mobilität in Städten, Regionen und im Tourismus zukünftig entwickelt, welche neuen datenbasierten Mobilitätsprodukte, -services oder Geschäftsmodelle entstehen? Der Blick in Open Innovation, Akzeptanz digitaler Mobilitätsinnovationen und nachhaltiges Mobilitätsverhalten klingt spannend? Dann bist du bei uns – der Forschungsgruppe „Innovation & Value Creation“ – genau richtig! Aufgabengebiete Inhaltliche Mitwirkung bei der Erstellung wissenschaftlicher Studien und Projekte Unterstützung durch systematische Recherche von Literatur, Datenscreening, Erhebung (Online-Fragebogen, Fallstudien), Auswertung bis zur Aufbereitung und Visualisierung der Ergebnisse (qualitative […]

This article presents the results of a survey of data management policies and practices of digital archaeological repositories in Europe and beyond. The survey was carried out in 2021 under the auspices of the European project ARIADNEplus and the COST Action SEADDA. Its main purpose was to collect and analyse information about current policies that determine access to and reuse of data held by digital archaeological repositories, and to investigate the guidance and support needed to make these repositories and data FAIR (Findable, Accessible, Interoperable and Reusable). These policies comprise the regulations of heritage and research authorities/agencies, councils and other institutions at different levels (European, national/regional, local) as well as the repository rules governing deposition, access to, and reuse of archaeological data. The repositories are operated both by heritage sector institutions and by the research and higher education sector. The survey represents a bottom-up approach by focusing on the actual policies and practices of digital […]

Nachhaltigkeit im Tourismus erfordert immer auch ein Besuchermanagement, das auf Kapazitätsgrenzen und qualitativ tolerierbare Besucherdichten Rücksicht nimmt. Ein erster Schritt dabei sind datenbasierte Besucherstromanalysen. Langfristiges Ziel ist die Entwicklung von evidenzbasierten Maßnahmen zur Besucherlenkung, die sich nicht nur an einzelnen subjektiven Eindrücken orientieren, sondern mit einer fundierten und validen Datenbasis begründet werden können. Auf diese Weise sollen Besucherlenkungsmaßnahmen wirklich dort ansetzen, wo es ohne Interventionen zu unerwünschten Effekten kommt. Der vorliegende Arbeitsbericht bietet eine Hilfestellung bei der Arbeit an Besucherstromanalysen und der Entwicklung von Interventionen für eine nachhaltige Besucherlenkung. Er entstand im Rahmen des Projektes “Qualitätstourismus im Alpenraum”, welches im grenzüberschreitenden Programm Interreg Bayern-Österreich gefördert wurde. Weiterführende Informationen zum Projekt finden sich unter www.nachhaltigertourismus.eu Diese Publikation analysiert vier aktuell besonders bedeutsame Trends in der touristischen Mobilität. Weiters dokumentiert sie die pilothafte Anwendung von passiven Mobilfunkdaten zum Zwecke der Besucherstrommessung in fünf beispielhaften Use Cases in den beteiligten Projektregionen Berchtesgadener Land, Wagrain-Kleinarl und der Wolfgangseeregion. […]

The timely detection of anomalies in communication networks is especially important for time-critical applications. The more time it takes to detect and react to an anomaly, the more serious the consequences can be. Salzburg Research has developed a software architecture that can detect and react to anomalies in real time using machine learning.

Eine spannende Nische zwischen Wissenschaft und Wirtschaft mit neuen technologischen Herausforderungen wartet ab sofort oder zu einem späteren Zeitpunkt auf Verstärkung. We are offering the following master thesis topic with immediate effect or later: navigation of a mobile autonomous robot Ausschreibung als PDF Dein wissenschaftlicher Beitrag zur Weiterentwicklung der Robotik! As an independent research institute, Salzburg Research offers know-how and sustainable solutions for complex challenges in the Internet of Things. We are a think tank for innovative companies from a wide range of industries and the public sector – internationally oriented and committed to the region. Motion is an omnipresent aspect of our lives and an essential component of innovations in the areas of health, sports and fitness. Our research team “Human Motion Analytics” uses motion data from a variety of data sources. Using methods from signal processing, statistics and machine learning, we evaluate data quality, identify movement patterns and develop models. This detailed […]

Energy management and balancing of industrial processes, residential prosumers and e-mobility charging through real-time data exchange and control.

[…] should be coordinated in real time. Salzburg Research is developing suitable solutions for this together with partners from research and industry. The aim is to create opportunities for such energy communities to contribute to the stability and performance of the energy grid, e.g. by reducing peak loads and providing flexibility. Based on an in-depth analysis, an expandable, modular and scalable IT system architecture will be designed for the uniform integration and operation of local energy communities. IT security and privacy “by design” will be taken into account. Our role in the research project: Salzburg Research contributes to the digital implementation and for smooth communication within local energy communities. We are working on a communication architecture that enables a flexible, reliable and bidirectional connection between the participants of a community or external organisations. About ECOSINT The objectives of the joint research work are: Analysis of the goals and possibilities of energy communities Elaboration of all […]

Dynamic Mobility Nudge: Using digital, data-based insights to promote sustainable mobility in cities. In order to make cities liveable and to implement climate-friendly measures, residents should be motivated to increasingly cycle, walk or use public transport. Individual motorised transport is to be reduced and sustainable forms of mobility increased.

The engineering and validation of substation visualizations are still labor-intensive tasks. Most of the configuration steps are typically done manually and are thus error-prone and time consuming; they contribute to a significant degree to the overall engineering costs. The goal of this work is to decrease these costs and to increase the quality of the engineering process at the same time. The corresponding approach is based on a general concept of a model-based, automated engineering and validation framework that covers the entire engineering process of modern energy applications. First, the rationale behind this framework and its cornerstones are presented. Then, it is shown how an IEC 61850-based substation visualization can be generated and validated through automated signal tests. A prototypical implementation of the approach yields encouraging results as a high degree of automation is achieved.

Graph neural networks (GNN) have recently been proposed as a technique for accurate and cost-efficient network modeling. As an example, the GNN-based model RouteNet has shown potential for network performance evaluation, being the first-of-its-kind Machine-Learning-based model with generalization capabilities to other networks and configurations unseen during training. In this paper we assess the generalization limits of RouteNet, by analyzing how different network parameters affect the accuracy of this model. To this end, we systematically evaluate the accuracy of RouteNet under modifications of properties of the network and the traffic, such as the topology size, link capacities, the packet size distribution, and the network congestion level. We determine that, while this GNN model is robust to changes in the structure of its input graph, the quality of the estimates degrades considerably, when the distributions of the predicted values of the evaluation data differ from the training (e.g., end-to-end delays). As a result, we argue that to […]

In the past decades, European cities have set ambitious goals for low carbon transition, but regional sustainability services (RSUS) lack an active user base. Only 15% of consumers take sustainability of these into account during a purchase and “rebound effect” can reach 80%. At the current pace, RSUS will fail to develop into sustainable business models and cities’ efforts remain insufficient to meet targets set for 2050. SimpliCITY aims to boost the digital competences of the urban communities in Salzburg, AT and Uppsala, SE. Both pilot cities, Salzburg and Uppsala, are so-called smart cities with different action fields, targets and coordination offices. This report informs about the activities and results of the European project “SimpliCITY” (JPI Urban Europe; running from 10/2018-6/2021) in which a hybrid approach was developed, using both physical and digital participation and incentive methods and tools. SimpliCITY examined how to increase the usage rate of regional sustainability services and how to drive […]

For more sustainable urban behaviour and mobility, innovative methods are needed to change behaviour. We discuss the results of an explorative study of the use of a personal mobility tracker (a digital, data-based tool) to motivate users to adopt a more sustainable city lifestyle. We examine motivational techniques that can influence citizens’ personal mobility on a day-to-day basis. Using a personal mobility app that incorporates gamified elements and nudging, citizens become part of a community. They are motivated to cycle more and to explore sustainable services in the city through tours and visiting points of interest. We present the first results of a trial of this mobile app: characteristics of users, and empirical data that indicate a change in cycling behaviour. We also show effects of nudging on personal mobility.