DAKODIS

The main objective of the project is to increase efficiency and reduce the overhead of online diagnosis for open embedded systems through data compression. The specific characteristics of online diagnostic systems—particularly a large number of partially correlated data streams, from which dynamic sliding time windows must be stored for query evaluation—require the development of new compression methods or the adaptation of existing compressors.

Description

The goal of online diagnosis for open embedded systems is the localization and, if necessary, the correction of faults in open systems in which components can dynamically join or leave the system in order to provide safety-critical services.

Previous work has introduced an approach to online diagnosis based on techniques from the Semantic Web. In this approach, new diagnostic information is locally inferred from sensor data, status information, or already derived diagnostic information using SPARQL queries, and is stored in a distributed manner in local real-time databases. This involves storing large volumes of data and communicating them between system components, while available communication bandwidth is limited in many applications.

Integrating a compression component into an online diagnostic system also requires further adjustments, especially in the inference process for diagnostic information as well as in the time-controlled scheduling of this inference process. The algorithms developed to solve these problems are to be implemented in a prototype and evaluated using various application scenarios.

Focus points/areas

Data compression for active diagnosis

Links

DAKODIS

Research Goals

1.

IoTrain aimed to enhance the IoT skills of engineers by developing and strengthening higher education training and curricula in Iran and Iraq in line with state-of-the-art European standards and technologies. The project’s motivations and objectives were defined collectively for both countries, as the targeted groups and regional needs were largely shared.

The proposal focused on modernizing ICT and engineering curricula within Iranian and Iraqi higher education systems by updating existing courses with IoT-related topics, recognizing IoT as a key driving technology of the future. It also sought to develop new courses and modules, ultimately contributing to the establishment of Master of Science programs in IoT. The initiative specifically targeted IoT as a domain of strategic importance, aligned with national priorities in both countries and consistent with global trends in business, industry, and research. Furthermore, it promoted cooperation between the European Union, Iran, and Iraq in higher education, reflecting the interests of policymakers on all sides.

Projectteam

Univ.-Prof. Dr.-Ing. Roman Obermaisser

Professor

Prof. Dr. Roman Obermaisser is full professor at the Division for Embedded Systems of University of Siegen. Roman Obermaisser has finished his doctoral studies in Computer Science with Prof. Hermann Kopetz at Vienna University of Technology as research advisor in 2004.

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