Twan Basten – författare

The emerging Ambient Intelligence vision has the potential to fundamentally change our world. This volume is a preview into the next era of computing. It is the first book to investigate the impact of Ambient Intelligence on embedded system design. It combines visionary contributions with papers on recent developments, bringing to light the challenges in system design towards fulfilling the Ambient Intelligence promise. Topics covered range from processor architectures and embedded software to cognitive robotics and sensor networks, and from quality-of-service and energy-efficient design to security and fault tolerance.

The emerging Ambient Intelligence vision has the potential to fundamentally change our world. This volume is a preview into the next era of computing. It investigates the impact of Ambient Intelligence on embedded system design. Combining visionary contributions with papers on recent developments, it brings to light the challenges in system design towards fulfilling the Ambient Intelligence promise. Topics covered range from processor architectures and embedded software to cognitive robotics and sensor networks, and from quality-of-service and energy-efficient design to security and fault tolerance.

This book describes model-based development of adaptive embedded systems, which enable improved functionality using the same resources. The techniques presented facilitate design from a higher level of abstraction, focusing on the problem domain rather than on the solution domain, thereby increasing development efficiency. Models are used to capture system specifications and to implement (manually or automatically) system functionality. The authors demonstrate the real impact of adaptivity on engineering of embedded systems by providing several industrial examples of the models used in the development of adaptive embedded systems.

This book describes model-based development of adaptive embedded systems, which enable improved functionality using the same resources. The techniques presented facilitate design from a higher level of abstraction, focusing on the problem domain rather than on the solution domain, thereby increasing development efficiency. Models are used to capture system specifications and to implement (manually or automatically) system functionality. The authors demonstrate the real impact of adaptivity on engineering of embedded systems by providing several industrial examples of the models used in the development of adaptive embedded systems.

This book introduces a generic and systematic design-time/run-time methodology for handling the dynamic nature of modern embedded systems, without adding large safety margins in the design. The techniques introduced can be utilized on top of most existing static mapping methodologies to deal effectively with dynamism and to increase drastically their efficiency. This methodology is based on the concept of system scenarios, which group system behaviors that are similar from a multi-dimensional cost perspective, such as resource requirements, delay, and energy consumption. Readers will be enabled to design systems capable to adapt to current inputs, improving system quality and/or reducing cost, possibly learning on-the-fly during execution.Provides an effective solution to deal with dynamic system designIncludes a broad survey of the state-of-the-art approaches in this domainEnables readers to design for substantial cost improvements (e.g. energy reductions), by exploiting system scenariosDemonstrates how the methodology has been applied effectively on various, real design problems in the embedded system context