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Connecting microcontrollers, sensors and actuators by several communication systems is state of the art within the electronic architectures of modern vehicles. Today's communication is widely based on the event triggered communication on the Controller Area Network (CAN) communication protocol. The arbitrating mechanism of this protocol ensures, that all(More)
HEp-2 cells are used for the identification of antinuclear autoantibodies (ANAs). They allow for recognition of over 30 different nuclear and cytoplasmic patterns, which are given by upwards of 100 different autoantibodies. The identification of the patterns has recently been done manually by a human inspecting the slides with a microscope. In this paper,(More)
BACKGROUND Biomedical ontologies offer the capability to structure and represent domain-specific knowledge semantically. Disease-specific ontologies can facilitate knowledge exchange across multiple disciplines, and ontology-driven mining approaches can generate great value for modeling disease mechanisms. However, in the case of neurodegenerative diseases(More)
The communication in the classic CAN network is event triggered; peak loads may occur when the transmission of several messages is requested at the same time. CAN's non-destructive arbitration mechanism guarantees the sequential transmission of all messages according to their identifier priority. For hard real-time systems, a scheduling analysis of the(More)
BACKGROUND For selection and evaluation of potential biomarkers, inclusion of already published information is of utmost importance. In spite of significant advancements in text- and data-mining techniques, the vast knowledge space of biomarkers in biomedical text has remained unexplored. Existing named entity recognition approaches are not sufficiently(More)
Electronic patient health records encompass valuable information about patient's medical problems, diagnoses, and treatments offered including their outcomes. However, a problem for medical professionals is an ability to efficiently access the information that are documented in the form of free-text. Therefore, the work presented here exhibits an(More)
We investigated the Boolean model for the classification of textures. We were interested in three issues: 1. What are the best features for classification? and 2. How does the number of Boolean models which were created from the original image influence the accuracy of the classifier?, and 3. Is decision tree induction the right method for classification?
This paper reports on the work that has been conducted by Fraunhofer SCAI for Trec Chemistry (Trec-Chem) track 2009. The team of Fraunhofer SCAI participated in two tasks, namely Technology Survey and Prior Art Search. The core of the framework is an index of 1.2 million chemical patents provided as a data set by Trec. For the technology survey, three runs(More)
Queries in literature search engines are usually conducted on metadata derived from scientific publications. The search engine LIVIVO holds a corpus of 63 Million life science publications. About 25 Million publications in LIVIVO are taken from PubMed that have annotations with Medical Subject Headings (MeSH). The other publications have heterogeneous(More)