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We propose a combinatorial solution for the problem of non-rigidly matching a 3D shape to 3D image data. To this end, we model the shape as a triangular mesh and allow each triangle of this mesh to be rigidly transformed to achieve a suitable matching to the image. By penalising the distance and the relative rotation between neighbouring triangles our matching compromises between the image and the...
We developed a generalized testing methodology in which IT fans’ internal and external impedance effects are collapsed into a single curve (i.e., flow curve). Such curves can give accurate flow rate predictions of the IT equipment based on RPM logging. Flow curves cover the three possible airflow regions for IT in a contained environment. The experimental procedure is introduced to rank IT equipment...
We present an approach that combines passive scene understanding with object search in order to recognize scenes in indoor environments that cannot be perceived from a single point of view. Passive scene recognition is performed using Implicit Shape Models based on spatial relations between objects. ISMs, a variant of the Generalized Hough Transform, are extended to describe scenes as sets of objects...
There is strong interest in being able to predict the air thermal distribution in data centers to have a better understanding of the problem so that cooling energy can be reduced. As experimental studies in data centers require exhaustive measurement efforts, CFD presents an alternative solution. A few of these studies were validated against experimental data, and relatively large errors were found...
This paper presents a description logic based system to store and retrieve knowledge used in models for autonomous probabilistic decision making by multimodal service robots. These models are mainly generated by observation and analysis of humans performing tasks, the programming by demonstration methodology. As formal model representation, partially observable Markov decision processes (POMDPs) are...
In this paper we propose a process which is able to generate abstract service robot mission representations, utilized during execution for autonomous, probabilistic decision making, by observing human demonstrations. The observation process is based on the same perceptive components as used by the robot during execution, recording dialog between humans, human motion as well as objects poses. This...
This paper presents a technique to learn flexible action selection in autonomous, multi-modal human-robot interaction (HRI) from observing multi-modal human-human interaction (HHI). A model is generated using the proposed technique with symbolic states and actions, representing the scope of the observed mission. Variations in human behavior can be learned as stochastic action effects while execution...
For lifetime estimation of power converters in traction applications, one method is to calculate numerically the stress-strain hysteresis curves of the interfaces silicon-solder-DCB and/or DCB-solder-baseplate inside the power modules. This can only be achieved if the transient junction temperatures in these layers are known for a defined mission-profile. Therefore, one has to couple circuit simulation...
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