Mariusz Pelc

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DySCAS is a dynamically self-configuring middleware for automotive control systems. The addition of autonomic, context-aware dynamic configuration to automotive control systems brings a potential for a wide range of benefits in terms of robustness, flexibility, upgrading etc. However, the automotive systems represent a particularly challenging domain for(More)
This paper describes a highly flexible component architecture, primarily designed for automotive control systems, that supports distributed dynamically- configurable context-aware behaviour. The architecture enforces a separation of design-time and run-time concerns, enabling almost all decisions concerning runtime composition and adaptation to be deferred(More)
There are many types of bio-signals with various control application prospects. In this work possible control application domain of electroencephalographic signal obtained from an easily available, inexpensive EEG headset - Emotiv EPOC was presented. This work also involved application of an embedded system platform. That solution caused limits in choosing(More)
In the current drive towards dynamic self-managing systems, a particular challenge is the development of coherent architectures of context-aware middleware and components. The embedded class of systems brings the additional challenges of resource limitations and difficulty to upgrade deployed code.This paper describes a complete implementation of middleware(More)
In this paper the idea of Policy-based Input Selector, which is a framework of a highly flexible modular software interface was presented. The Policy-based Input Selector allows run-time context-sensitive and self-acting reconfiguration of information inputs in cognitive systems. The proposed solution has great application capability in autonomous and(More)