Istc Cnr

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Emotionplayer Istc Cnr
emotionplayer istc cnr
INTERFACE is an integrated software implemented in Matlab and created to speed-up the procedure for building an emotive/expressive talking head. Various processing tools, working on dynamic articulatory data physically extracted by an optotracking 3D movement analyzer called ELITE, were implemented to build the animation engine and also to create the correct WAV and FAP files needed for the animation. By the use of INTERFACE, LUCIA, our animated MPEG-4 talking face, can copy a real human by reproducing the.

Language: english
PDF pages: 14, PDF size: 1.31 MB
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Eva Blomqvist (cnr) Eva.blomqvist@istc.cnr.it
eva blomqvist (cnr) eva.blomqvist@istc.cnr.it
–! Task leader - OU –! T2.2 provides methods and tools to support re-engineering, evaluation and selection of ontologies and their components in the context of building networked ontologies. Within T2.2 we distinguish between two subtasks: one dealing with ontology selection and evaluation, and another focusing on re-engineering. In the final year, the focus will be on evaluating and fine-tuning the techniques developed during the previous years. –! Deliverables: D2.2.4 at M44: Final version of methods .

Language: english
PDF pages: 32, PDF size: 3.61 MB
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Paper Pst Istc Cnr
paper pst istc cnr
In this paper we are concerned with the generation of high quality downlink schedules in a spacecraft domain in presence of a high degree of uncertainty. In particular, we refer to a combinatorial optimization problem called M ARS -E XPRESS Memory Dumping Problem (M EX -M DP), which arose in the European Space Agency program M ARS -E XPRESS. A M EX -M DP consists in the generation of dumping commands to maximize the downloads of data sets from the satellite to the ground. The domain is characterized with .

Language: english
PDF pages: 20, PDF size: 0.26 MB
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Baldassarre@ip.rm.cnr.it, S.nolfi@istc.cnr.it, D.parisi@istc.cnr.it
baldassarre@ip.rm.cnr.it, s.nolfi@istc.cnr.it, d.parisi@istc.cnr.it
(2004, in press) in order to identify the principles of self-organization at the basis of the observed collective behavior, and describe them quantitatively. The distributed coordination problem studied here is a coordinated motion task. In this task, groups of physically linked simulated robots, each endowed with a very simple sensory system that allows each robot to sense the motion of linked robots, have to move away from an initial position in any direction as fast as possible. In this scenario, the .

Language: english
PDF pages: 14, PDF size: 1.01 MB
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Ai Planning And Scheduling Techniques Istc-Cnr, Rome, Italy
ai planning and scheduling techniques istc-cnr, rome, italy
• Scheduling Knowledge – Temporal constraints: activities take time to be executed, they may have a variety of temporal restrictions (e.g., distance from other activities, distance from horizon, origin, etc.), absolute constraints on the problem may exist (e.g. deadlines) – Resource constraints: activities require a set of resources that have in general limited capacity. Resources may be of different types (e.g., binary, renewable, consumable) • Scheduling Result – Activities start and end times satisfy •.

Language: english
PDF pages: 29, PDF size: 7.85 MB
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