This paper describes the BUSCAMOS-Oil monitoring system, which is a robotic platform consisting of an autonomous surface vessel combined with an underwater vehicle. The system has been designed for the long-term monit...
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This paper describes the BUSCAMOS-Oil monitoring system, which is a robotic platform consisting of an autonomous surface vessel combined with an underwater vehicle. The system has been designed for the long-term monitoring of oil spills, including the search for the spill, and transmitting information on its location, extent, direction and speed. Both vehicles are controlled by two different types of bio-inspired neural networks: a Self-Organization Direction Mapping Network for trajectory generation and a Neural Network for Avoidance Behaviour for avoiding obstacles. The systems' resilient capabilities are provided by bio-inspired algorithms implemented in a modular softwarearchitecture and controlled by redundant devices to give the necessary robustness to operate in the difficult conditions typically found in long-term oil-spill operations. The efficacy of the vehicles' adaptive navigation system and long-term mission capabilities are shown in the experimental results.
We propose a layered and component based software architecture, which generates semantic software applications, for the purpose of delivering personalized services for residents in Self-Care Homes (SeCH). The architec...
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ISBN:
(纸本)9781479925049
We propose a layered and component based software architecture, which generates semantic software applications, for the purpose of delivering personalized services for residents in Self-Care Homes (SeCH). The architectural core layers accommodate softwarecomponents which grasp and understand the semantic of various situations we may encounter in SeCH, through a variety of cyber-physical objects which co-exist in pervasive environments used in monitoring SeCH residents. The decision making on appropriate actions in SeCH is based on reasoning created by SWRL enabled OWL ontologies to ensure that in any situation, residents are delivered suitable and personalized healthcare services. The ASeCS architecture has been deployed through componentbased Java technologies, and uses OWL-API in order to seamlessly incorporate reasoning into software applications. ASeCS is SeCH specific, but provides a window of opportunities for creating modern and flexible software solutions for pervasive healthcare, where decision making solely depends on OWL/SWRL enabled computations.
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