Data Analysis Systems

DAS develops methods for automatic analysis of data (sensor data...) for the purpose of knowledge discovery, model refinement and optimization. The spectrum of applications encompasses process data analysis, process optimization, condition monitoring, fault detection and diagnosis, virtual sensors, fault prediction and optimal control systems in the process industry and production, in machine manufacture and maintenance and in energy management.

News

For DAS team

New researcher

Since September 1st, Dr. Florian Sobieczky reinforced the Data Analysis Systems team. He studied mathematics and physics. He focuses his research on the topic Predictive Modeling.

 

SCCH presented Predictive Analytics

Finding the "Early Warning Point"

The Automotive Cluster Upper Austria organized the Innovation Workshop at MAGNA in Graz. The experts from the research focus Data Analysis Systems (DAS) showed how  predictive maintenance works and how the "Early Warning Point" can be found.

Success Factor Data Analysis

Learn more about Big Data

In modern enterprises a mass of data is available in many formats and qualities. An automated analysis of this data promises an increase of knowledge and thus the opportunity to optimize different systems.

Software for Disaster Management

Awarded with the E-Award

Host, Mr. Dirk Lukaschik, CEO of T-Systems, presented the winners of the E-Award 2016. The submitted projects impressively  showed the importance of digitization and how it affects all economic and living areas. This circumstance effects many companies, but also the entire society", says Lukaschik. "In order to line up for the digital transformation, IT organizations need completely new skills,  technologies and management approaches.

Tackling the Software Crisis

Research Success in Advanced Computing

Following on from the highly successful EU ParaPhrase project, the University of St Andrews has obtained substantial further funding from the Europeon Union under the Horizon 2020 programme to study advanced computing. The 3.5M Euro RePhrase project is coordinated by Professor Kevin Hammond of the University of St Andrews, and brings together 8 leading academic and industry partners from the UK, Austria, Italy, Spain, Hungary and Israel.  It aims to tackle one of the most pressing problems in computer science: how to produce effective software for emerging "parallel" computer platforms, that promise significantly increased performance at significantly reduced cost and energy usage. 

SMEs and Big Data

Within the framework of Bits of Tomorrow

For small and medium enterprises, the question arises, how much effort they can drive sensibly to systematically develop their data. To evaluate them  and to make them productive in the sense of the company. The questions are many and varied: What is Big Data for small and medium-sized businesses? Which areas of application have already proved, that could be developed? Where are the problems and where are the solutions?

New project: RePhrase

Refactoring Parallel Heterogeneous Applications

The RePhrase project aims to produce new software engineering tools, techniques and methodologies for developing data-intensive applications in C++, targeting heterogeneous multicore/manycore systems that combine CPUs and GPUs into a coherent parallel platform.

Advanced computing research boosts productivity and performance

Project ParaPhrase

A world-leading team of academic researchers and industrial experts from across Europe are celebrating the conclusion of a four year research collaboration tackling the challenges posed by the fastest and most powerful computing systems on the planet.The € 4.2M ParaPhrase project brought together academic and industrial experts from across Europe to improve the programmability and performance of modern parallel computing technologies.

Project PROSAM

Started in December

On December 1st, 2014 the 2.5-year research project PROSAM (Intelligent fault prognosis systems for anticipative maintenance strategies) has been started under the coordination of the Software Competence Center Hagenberg. The project is funded by the FFG under the funding program “ICT for the future”.

International Snow Science Workshop

In Banff, Canada

Dr. Mario Pichler presented the paper ABOUT PROBABILISTIC GRAPHICAL MODELS IN PROBABILISTIC AVALANCHE SCIENCE: THE CASE OF STOP OR GO at the 2nd of October 2014.

DEXA 2014

In Munich

At the DEXA, the SCCH presented 4 scientific publications.