Drones are used in an ever-increasing number of applications, including the autonomous delivery of medication and the inspection of industrial plants. To fulfil these tasks safely and reliably as they move through our airspace, drones need to be linked to high-performance cellular networks. The new mobile telecommunication generation 5G promises new possibilities with high data rates and low latency. Working with a 5G base station operated by Magenta in the Austrian community of Feichtendorf, a team of researchers from the University of Klagenfurt, Lakeside Labs GmbH, Magenta Telekom GmbH and Deutsche Telekom AG has recently conducted drone tests in a commercial 5G network. The scientific results were presented at the ACM MobiSys conference in mid-June.
By the year 2022, video content will account for almost 79 percent of mobile data traffic. This means that the level is expected to increase nine-fold in just five years from 2017 to 2022. These ever-growing magnitudes pose new challenges for modern technologies. In a research alliance between the Department of Information Technology, bitmovin GmbH and the joint CD laboratory ATHENA, researchers are now working on a new cloud-based video platform that can keep pace with current demands. Read more
From 8th to 12th June the 32nd edition of the CAiSE conference take place, hosted by the Laboratory of Informatics of Grenoble (LIG) at University of Grenoble Alpes (UGA, France). Because of coronavirus pandemic, the (more than 1000) participants all over the world met each other online.
O.Univ.-Prof. Dipl.-Ing. Dr. Eder was one of the speakers at the opening conference and presented, together with Univ.-Ass. Dipl.Ing. Marco Franceschetti, two papers about current results:
- Scheduling Processes without Sudden Termination. (Eder, J., Franceschetti, M., Lubas, J.)
- Designing Decentralized Business Processes with Temporal Constraints. (Franceschetti, M., Eder, J.)
Advances in Databases and Information Systems.
23rd European Conference, ADBIS 2019, Bled, Slovenia, September 8–11, 2019, Proceedings.
Editors: Welzer, T., Eder, J., Podgorelec, V., Kamišalić Latifić, A.
This book constitutes the proceedings of the 23rd European Conference on Advances in Databases and Information Systems, ADBIS 2019, held in Bled, Slovenia, in September 2019.
The 27 full papers presented were carefully reviewed and selected from 103 submissions. The papers cover a wide range of topics from different areas of research in database and information systems technologies and their advanced applications from theoretical foundations to optimizing index structures. They focus on data mining and machine learning, data warehouses and big data technologies, semantic data processing, and data modeling. They are organized in the following topical sections: data mining; machine learning; document and text databases; big data; novel applications; ontologies and knowledge management; process mining and stream processing; data quality; optimization; theoretical foundation and new requirements; and data warehouses.
Narges Mehran, who came to Klagenfurt from Iran in order to pursue her doctoral studies, has specialized in cloud and fog computing as part of her doctoral thesis. These decentralized processing systems make it possible to reduce latency and processing times.
The approval of this project represents a milestone in the success story of the Departments of Mathematics and Statistics at the University of Klagenfurt. It’s also a great achievement on the part of the participating professors and particularly for the 32-year-old coordinator, Michaela Szölgyenyi. Starting in autumn 2020, the project will employ around one dozen international young scientists in Klagenfurt.
The master thesis will contribute to an experimental research study carried out at the Department of Management Control and Strategic Management. You will work on the platform for an interactive online experiment that involves human decision makers in a laboratory setting. The focus of the experimental study is in the field of task formation in a complex environment.
As soon as possible upon individual agreement
Strong programming skills
Supervision of the master thesis
Univ.-Prof. Dipl.-Ing. Dr. Dietmar Jannach
(dietmar [dot] jannach [at] aau [dot] at)
Department of Applied Informatics
Assoc. Prof. Dr. Alexandra Rausch
(alexandra [dot] rausch [at] aau [dot] at)
Assoc. Prof. Dr. Stephan Leitner
(stephan [dot] leitner [at] aau [dot] at)
Department of Management Control and Strategic Management
The authors J. C. Chedjou, K. Kyamakya und N. A. Akwir could publish in the top-class Open Access Journal “IEEE Access” a journal paper with the title: “An Efficient, Scalable and Robust Neuro-Processor Based Concept for Solving Single-Cycle Traveling Salesman Problems in Complex and Dynamically Reconfigurable Graph Networks,”.
We develop, for the first time, and validate through some illustrative examples a new neuro-processor based concept for solving (single-vehicle) traveling salesman problems (TSP) in complex and dynamically reconfigurable graph networks. Compared to existing/competing methods for solving TSP, the new concept is accurate, robust, and scalable. Also, the new concept guarantees the optimality of the TSP solution and ensures subtours avoidance and thus an always-convergence to a single-cycle TSP solution. These key characteristics of the new concept are not always satisfactorily addressed by the existing methods for solving TSP. Therefore, the main contribution of this paper is to develop a systematic analytical framework to model (from a nonlinear dynamical perspective) the TSP, avoid/eliminate subtours, and guarantee/ensure convergence to the true/exact TSP solution. Using the stability analysis (nonlinear dynamics), analytical conditions are obtained to guarantee both robustness and convergence of the neuro-processor. Besides, a bifurcation analysis is carried out to obtain ranges (or windows) of parameters under which the neuro-processor guarantees both TSP solution’s optimality and convergence to a single-cycle TSP solution. In order to validate the new neuro-processor based concept developed, two recently published application examples are considered for both benchmarking and validation as they are solved by using the developed neuro-processor.
More information: https://ieeexplore.ieee.org/document/8995468
On the 15 January 2020, the research groups of the Institutes of Mathematics and Statistics gave an insight into their current research. Interested students were also given an overview of which topics are suitable for a bachelor or master thesis.
The student representatives provided coffee and cake, so that discussions on research, course offerings and curriculum could be held in a pleasant atmosphere even after the event.
Moving intelligently, robots deployed in a warehouse shift crates from A to B – without getting in each other’s way. What sounds like a very simple example has only recently been made possible thanks to new tools developed in the EU Horizon 2020 project CPSwarm. The project is now in its final phase and the “toolkit” is freely available online for all developers.