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This paper presents the incorporation of an auto-tuning real-time garbage collector into a feedback-based on-line scheduling system. The studied feedback scheduler is designed to dynamically adjust the sampling periods of a set of controller tasks in order to maximize the overall control performance. In the suggested approach, the memory management overhead is made explicit and taken into account

As distributed systems continue to evolve, automatic resource management is becoming more and more impor tant. The resource management system must be able to dynamically handle large heterogeneous systems in a way that gives good performanceand resource utilization. In the performance context, allocating software modules to nodes in an efficient way is of high interest. This paper considers the pr

This paper presents an energy relaxation-based approach for the modeling of single crystalline magnetic shape memor)) alloy response under general two-dimensional magnetomechanical loading. It relies on concepts of energy relaxation in the context of non-convex free energy landscapes whose wells define preferred states of straining and magnetization. The constrained theory of magnetoelasticity dev

A computational model with three interacting components for context sensitive re-inforcement learning, context processing and automation can autonomously learn a focus attention and a shift attention task. The performance of the model is similar to that of normal children, and when a single parameter is changed, the performance on the two tasks approaches that of autistic children.

Patients with haemophilia A (and their physicians) may be reluctant to switch factor VIII (FVIII) concentrates, often due to concerns about increasing the risk of inhibitors; this reluctance to switch may contribute to patients missing the clinical benefits provided by the arrival of new factor VIII products. This topic was explored at the Eleventh Zurich Haemophilia Forum. Clinical scenarios for

Monolithic neural networks may be trained from measured data to establish knowledge about the process. Unfortunately, this knowledge is not guaranteed to be found and – if at all – hard to extract. Modular neural networks are better suited for this purpose. Domain-ordered by topology, rule extraction is performed module by module. This has all the benefits of a divide-and-conquer method and opens

Most text categorization methods use the vector space model in combination with a representation of documents based on bags of words. As its name indicates, bags of words ignore possible structures in the text and only take into account isolated, unrelated words. Although this limitation is widely acknowledged, most previous attempts to extend the bag-of-words model with more advanced approaches f

The text is an introduction to a collection of articles from the research project The Holocaust and European Historical Culture.

In this talk we show some potential applications of a pair of conventional double positive (DPS) and single negative (SNG) metamaterial blocks for specific patch antennas. We propose two designs. One is a 900- and 1800-MHz dual-band rectangular patch antenna filled with a pair of juxtaposed DPS and mu-negative (MNG) metamaterial blocks. With proper constitutive parameters and filling ratio of the

This paper presents our contribution in the closed track of the 2008 CoNLL Shared Task. To tackle the problem of joint syntactic--semantic analysis, the system relies on a syntactic and a semantic subcomponent. The syntactic model is a bottom-up projective parser using pseudo-projective transformations, and the semantic model uses global inference mechanisms on top of a pipeline of classifiers. Th

The article analyses how the Holocauast is represented among Russian nationalists, writing on web-sites.

The paper presents a feedback scheduling mechanism in the context of co-design of the scheduler and the control tasks. We are particularly interested in controllers where the execution time may change abruptly between different modes, such as in hybrid controllers. The proposed solution attempts to keep the CPU utilization at a high level, avoid overload, and distribute the computing resources eve