Synthesis of ATM switch controller modules with the protocol compiler from Synopsis

In order to manage the higher complexity of VLSI chips and to reach shorter design cycles, the design effort becomes increasingly focused on higher levels of abstraction. We describe the modeling of some modules of an high speed telecommunication circuit, an ATM Switch Controller (ASC) using the Protocol Compiler or Dali (TM) from Synopsys (TM). Dali (TM) supports a fast and compact graphical entry of a protocol controller hardware description with graphical signs similarly to formula symbols. The output of the synthesis with Dali (TM) is simulated. Advantages of this design method are discussed and the results of the synthesis are presented

Pruning population size in XCS for complex problems

In this report, we show how to prune the population size of the Learning Classifier System XCS for complex problems. We say a problem is complex, when the number of specified bits of the optimal start classifiers (the prob lem dimension) is not constant. First, we derive how to estimate an equiv- alent problem dimension for complex problems based on the optimal start classifiers. With the equivalent problem dimension, we calculate the optimal maximum population size just like for regular problems, which has already been done. We empirically validate our results. Furthermore, we introduce a subsumption method to reduce the number of classifiers. In contrast to existing methods, we subsume the classifiers after the learning process, so subsuming does not hinder the evolution of optimal classifiers, which has been reported previously. After subsumption, the number of classifiers drops to about the order of magnitude of the optimal classifiers while the correctness rate nearly stays constant

Current state of ASoC design methodology

This paper gives an overview of the current state of ASoC design methodology and presents preliminary results on evaluating the learning classifier system XCS for the control of a QuadCore. The ASoC design methodology can determine system reliability based on activity, power and temperature analysis, together with reliability block diagrams. The evaluation of the XCS shows that in the evaluated setup, XCS can find optimal operating points, even in changed environments or with changed reward functions. This even works, though limited, without the genetic algorithm the XCS uses internally. The results motivate us to continue the evaluation for more complex setups

Development of a High-Level Design Space Exploration Methodology

Veröffentlichung des Wilhelm-Schickard-Institut für Informatik Universität Tübinge

Ways of improving the precision of eye tracking data: Controlling the influence of dirt and dust on pupil detection

Eye-tracking technology has to date been primarily employed in research. With recent advances in aordable video-based devices, the implementation of gaze-aware smartphones, and marketable driver monitoring systems, a considerable step towards pervasive eye-tracking has been made. However, several new challenges arise with the usage of eye-tracking in the wild and will need to be tackled to increase the acceptance of this technology. The main challenge is still related to the usage of eye-tracking together with eyeglasses, which in combination with reflections for changing illumination conditions will make a subject "untrackable". If we really want to bring the technology to the consumer, we cannot simply exclude 30% of the population as potential users only because they wear eyeglasses, nor can we make them clean their glasses and the device regularly. Instead, the pupil detection algorithms need to be made robust to potential sources of noise. We hypothesize that the amount of dust and dirt on the eyeglasses and the eye-tracker camera has a significant influence on the performance of currently available pupil detection algorithms. Therefore, in this work, we present a systematic study of the eect of dust and dirt on the pupil detection by simulating various quantities of dirt and dust on eyeglasses. Our results show 1) an overall high robustness to dust in an o-focus layer. 2) the vulnerability of edge-based methods to even small in-focus dust particles. 3) a trade-o between tolerated particle size and particle amount, where a small number of rather large particles showed only a minor performance impact

High-Level-Synthese einer ATM-Switch-Steuerung mit Monet

Veröffentlichung des Wilhelm-Schickard-Institut für Informatik Universität Tübinge

Internetsuche und Neuronale Netze: Stand der Technik

Veröffentlichung des Wilhelm-Schickard-Institut für Informatik Universität Tübinge