Institute at the University of Klagenfurt
In “Ageing Safely in the Digital Era: A New Unobtrusive Activity Monitoring Framework Leveraging on Daily Interactions with Hand-Operated Appliances” (Bousbiat, Leitner and Elmenreich 2022), we suggest a new interactive framework to unobtrusively monitor elderlies’ behavior based on their interaction with electrical appliances involved in their daily activities. Due to […]
The photo above is not from a meeting with extreme COVID protection measures but a visit to Infineon’s semiconductor fab at the beginning of our project SWILT (Swarm Intelligence Layer to Control Autonomous Agents). After three years, this research project has now come to a successful end. The SWILT project […]
Whenever people dance in groups, fish swim in shoals and neurons fire in unison, then there is a need for synchronicity. The world has plenty of these phenomena, many of which seem almost magical. Researchers are currently working on replicating this self-organised synchronisation for use in technical systems. Yet they […]
Demand response (DR) for smart grids intends to balance the required power demand with the available supply resources. This is especially important with an increased amount of renewable energy sources since for most of them the energy yield cannot be shifted in time. For example, photovoltaic systems will provide their […]
Autonomous systems are able to make decisions and potentially take actions without direct human intervention, which requires some knowledge about the system and its environment as well as goal-oriented reasoning. Autonomous systems will undoubtedly pervade into our everyday lives, and we will find them in a variety of domains and […]
Persistent surveillance is the task of continuously monitoring an environment over a long period of time. Many multi-robot applications, including disaster response, security tasks as well as exploration and mapping, can be represented as a persistent surveillance problem. Understanding the problem’s properties and developing efficient algorithms for solving the problem […]
Many multi-camera applications rely on the knowledge of the spatial relationship among the individual nodes. However, establishing such a network-wide calibration is typically a time-consuming task and requires user interaction. In her recent work, Jennifer Simonjan developed a decentralized and resource-aware algorithm for estimating the poses of all camera nodes […]
Unmanned aerial vehicles (UAVs) with onboard cameras are increasingly deployed in various applications including surveying, search and rescue, inspection as well as video production. In all these applications, the UAVs move – in many cases autonomously – to capture imagery of sufficient quality of the environment or objects of interest. […]
Stochastic Trajectory Generation Using Particle Swarm Optimization for Quadrotor Unmanned Aerial Vehicles (UAVs) has been selected as the best research article published in 2017 in the MDPI Aerospace journal. The paper is co-authored by Babak Salamat and Andrea Tonello. It provides a realistic stochastic trajectory generation method for unmanned aerial vehicles. […]
The introduction of wireless connectivity in industrial environments promises a rapid and cost-effective reconfiguration of machines and sensors. A key question in this context is: Which wireless technology is best suited for industrial settings? Many of the prevalent technologies, like WiFi and ZigBee, do not meet the requirements of certain […]
Ms. Cornelia Klein, has been working as a university assistant at the Institute for Public Business Administration of Alpen Adria University for
In “Ageing Safely in the Digital Era: A New Unobtrusive Activity Monitoring Framework Leveraging on Daily Interactions with Hand-Operated
Anyone who believes that students of the technical sciences spend all their time in lecture halls and laboratories is taught otherwise at the
Florian Huber completed an apprenticeship in electrical engineering and spent several years working as electronic engineer and calibration officer in