Titlebook: Industrial Cloud-Based Cyber-Physical Systems; The IMC-AESOP Approa Armando W. Colombo,Thomas Bangemann,Jose L. Lastra Book 2014 Springer I

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Stamatis Karnouskos,Armando W. Colombo,Thomas Bangemann,Keijo Manninen,Roberto Camp,Marcel Tilly,Mares the estimation of various parameters, we focus on the localization of the mirror. The proposed method estimates the position of the mirror by observing pairs of parallel lights, which are projected from various directions. Although some earlier methods for calibrating catadioptric systems assume

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François Jammes,Stamatis Karnouskos,Bernard Bony,Philippe Nappey,Armando W. Colombo,Jerker Delsing,Jso existing algorithms from the graph-theory literature can be used to find a solution. We consider the challenging tasks of frame selection for use in mosaicing, and feature selection from Computer Vision, and Machine Learning, respectively, and demonstrate that we can map these problems into the e

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Jerker Delsing,Oscar Carlsson,Fredrik Arrigucci,Thomas Bangemann,Christian Hübner,Armando W. Colomboappear many abnormal motions and severe occlusions among the objects in the complex real-world environment. In a statistical perspective, an abnormal motion often exhibits non-Gaussian heavy-tailed behavior, which may take a long time to simulate. Most existing algorithms are unable to tackle this i

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Philippe Nappey,Charbel El Kaed,Armando W. Colombo,Jens Eliasson,Andrey Kruglyak,Rumen Kyusakov,Chrid photometric similarities between the heart wall and papillary muscles within the LV cavity. This study investigates the problem via . and .. GCDM yields initial frame segmentations by keeping the same photometric/geometric distribution of the cavity over cardiac cycles, whereas IMM constrains the

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