TY - CONF
AU - Khaluf, Lial
AU - Gerth, Christian
AU - Engels, Gregor
ID - 26787
T2 - Proceedings of the 23rd international conference on Advanced information systems engineering (CAiSE'11)
TI - Pattern-Based Modeling and Formalizing of Business Process Quality Constraints
ER -
TY - CONF
AB - Mutation analysis is a powerful tool for white-box testing of the verification environment in order to produce dependable and higher quality software products. However, due to high computational costs and the focus on high-level software languages such as Java mutation analysis is not yet widely used in commercial design flows targeting embedded (software) systems. Here the industry is modeling both hardware and related software parts at higher levels of abstraction, called virtual prototypes, to accelerate parallel development and shorten time-to-market. In this paper we propose a mutation testing verification flow for SystemC based virtual prototypes that may not rely on source code only but on annotated basic blocks and enables mutant creation at assembler level to heavily reduce execution costs and equivalence mutants likelihood.
AU - Kuznik, Christoph
AU - Müller, Wolfgang
ID - 26789
T2 - Proceedings of the 17th IEEE Pacific Rim International Symposium on Dependable Computing
TI - Native binary mutation analysis for embedded software and virtual prototypes in SystemC
ER -
TY - CHAP
AU - Esau, Natascha
AU - Kleinjohann, Lisa
ID - 26792
T2 - Emotional Engineering
TI - Emotional Robot Competence and Its Use in Robot Behavior Control
ER -
TY - CONF
AB - In this paper we introduce an infrastructure for investigating Organic Computing principles such as self-optimization and self-organization in real-world scenarios based on a heterogeneous society of robots. This infrastructure, the R3PB-Workbench (Remote Real Robots at the University of Paderborn), provides a controlled environment for conducting real-world multi robot experiments, while relieving the developer from common problems like getting a global view of the entire environment and self-localization within this environment. In addition, it provides a communication layer that hides the heterogeneity of the controlled robot types and also facilitates access to each robot's subjective view. Currently we provide three types of mobile robots with different size and capabilities. Since the workbench is easily customizable, it supports the integration of additional types of robots. Hence, the degree of heterogeneity of the robot group conducting the experiments in the scope of our real-world scenario can be modified as needed. Furthermore, we elaborated a multi-robot game as an illustrative real-world scenario, which on the one hand allows for sophisticated scientific investigations and on the other hand is also appealing for an audience, even with little technical background.
AU - Jungmann, Alexander
AU - Lutterbeck, Jan
AU - Werdehausen, Benjamin
AU - Kleinjohann, Bernd
AU - Kleinjohann, Lisa
ID - 26794
T2 - Proceedings of the 2011 workshop on Organic computing
TI - Towards a Real-World Scenario for Investigating Organic Computing Principles in Heterogeneous Societies of Robots
ER -
TY - CHAP
AB - In this article we present an approach that enables robots to learn how to act and react robustly in continuous and noisy environments while not loosing track of the overall feasibility, i.e. minimising the execution time in order to keep up continuous learning. We do so by combining reinforcement learning mechanisms with techniques belonging to the field of multivariate statistics on three different levels of abstraction: the motivation layer and the two simultaneously learning strategy and skill layers. The motivation layer allows for modelling occasionally contradicting goals in terms of drives in a very intuitive fashion. A drive represents one single goal, that a robot wants to be satisfied, like charging its battery, when it is nearly exhausted, or transporting an object to a target position. The strategy layer encapsulates the main reinforcement learning algorithm based on an abstracted and dynamically adjusted Markovian state space. By means of state abstraction, we minimise the overall state space size in order to ensure feasibility of the learning process in a dynamically changing environment. The skill layer finally realises a generalised learning method for learning reactive low-level behaviours, that enable a robot to interact with the environment.
AU - Jungmann, Alexander
AU - Kleinjohann, Bernd
AU - Richert, Willi
ID - 26805
T2 - Organic Computing A Paradigm Shift for Complex Systems, Autonomic Systems
TI - A Fast Hierarchical Learning Approach for Autonomous Robots
ER -
TY - CHAP
AB - The paradigm of imitation provides a powerful means for increasing the overall learning speed in a group of robots. While separately exploring the environment in order to learn how to behave with respect to a pre-defined goal, a robot gathers experience based on its own actions and interactions with the surroundings, respectively. By accumulating additional experience via observing the behaviour of other robots, the learning process can be significantly improved in terms of speed and quality. Within this article we present an approach, that enables robots in a multi-robot society to imitate any other available robot without imposing unnecessary restrictions regarding the robots design. Therefore, it benefits not only from its own actions, but also from actions that an observed robot performs. In order to realise the imitation paradigm, we solve three main challenges, namely enabling a robot to decide whom and when to imitate, to interpret and thereby understand the behaviour of an observed robot, and to integrate the experience gathered by observation into its individual learning process.
AU - Jungmann, Alexander
AU - Kleinjohann, Bernd
AU - Richert, Willi
ID - 26810
T2 - Organic Computing A Paradigm Shift for Complex Systems, Autonomic Systems, Band 1
TI - Increasing Learning Speed by Imitation in Multi-robot Societies
ER -
TY - JOUR
AU - Herbst, Antje
AU - Diethelm, Katharina
AU - Cheng, Guo
AU - Alexy, Ute
AU - Icks, Andrea
AU - Buyken, Anette
ID - 26904
JF - The Journal of Nutrition
SN - 0022-3166
TI - Direction of Associations between Added Sugar Intake in Early Childhood and Body Mass Index at Age 7 Years May Depend on Intake Levels
ER -
TY - JOUR
AB - AbstractObjectiveNutrition-related health problems such as obesity are frequent among children and adolescents of Turkish descent living in Germany, yet data on their dietary habits are scarce. One reason might be the lack of validated assessment tools for this target group. We therefore aimed to validate protein and K intakes from one 24 h recall against levels estimated from one 24 h urine sample in children and adolescents of Turkish descent living in Germany.DesignCross-sectional analyses comprised estimation of mean differences, Pearson correlation coefficients, cross-classifications and Bland–Altman plots to assess the agreement between the nutritional intake estimated from a single 24 h recall and a single 24 h urine sample collected on the previous day.SettingDortmund, Germany.SubjectsData from forty-three study participants (aged 5–18 years; 26 % overweight) with a traditional Turkish background were included.ResultsThe 24 h recall significantly overestimated mean protein and K intake by 10·7 g/d (95 % CI of mean difference: 0·6, 20·7 g/d) and 344 mg/d (95 % CI 8, 680 mg/d), respectively. Correlations between intake estimates were r = 0·25 (P = 0·1) and 0·31 (P = 0·05). Both methods classified 70 % and 69 % of the participants into the same/adjacent quartile of protein and K intake and misclassified 7 % and 7 %, respectively, into the opposite quartile. Bland–Altman plots indicated a wide scattering of differences in both protein and K intake.ConclusionsAmong children and adolescents of traditional Turkish descent living in Germany, one 24 h recall may only be valid for categorizing subjects into high, medium or low consumers.
AU - Bokhof, Beate
AU - Buyken, Anette
AU - Doğan, Canan
AU - Karaboğa, Arzu
AU - Kaiser, Josa
AU - Sonntag, Antje
AU - Kroke, Anja
ID - 26906
JF - Public Health Nutrition
SN - 1368-9800
TI - Validation of protein and potassium intakes assessed from 24 h recalls against levels estimated from 24 h urine samples in children and adolescents of Turkish descent living in Germany: results from the EVET! Study
ER -
TY - THES
AU - Mracek, Boris
ID - 26976
TI - Untersuchung des dynamischen Verhaltens gekoppelter piezoelektrischer Ultraschallmotoren mit Stoßkontakt
VL - Band 297
ER -
TY - CHAP
AU - Gries, Thomas
ED - Welfens, Paul J.J.
ID - 3290
SN - 978-3-642-17606-7
T2 - Zukunftsfähige Wirtschaftspolitik für Deutschland und Europa
TI - Internationale Umweltpolitik bei akkumulierender und asymmetrischer Verschmutzungsdynamik
ER -