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Computer vision in scheduling of industrial operations under uncertainty in large-scale and dynamic environments

Matsatsinis Nikolaos, Doulamis, Anastasios

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URIhttp://purl.tuc.gr/dl/dias/E1D89C45-DA03-42FF-8584-044517CB514F-
Αναγνωριστικόhttp://www.wseas.us/e-library/conferences/2012/Vouliagmeni/ACA/ACA-17.pdf-
Γλώσσαen-
Μέγεθος6 pagesen
ΤίτλοςComputer vision in scheduling of industrial operations under uncertainty in large-scale and dynamic environmentsen
ΔημιουργόςMatsatsinis Nikolaosen
ΔημιουργόςΜατσατσινης Νικολαοςel
ΔημιουργόςDoulamis, Anastasiosen
ΕκδότηςWorld Scientific and Engineering Academy and Societyen
ΠερίληψηThis paper researches on-line and self adaptive learning strategies blending with computer vision tools to visually observe and then schedule industrial operations that are executed dynamically, concurrently and under uncertainty in large-scale and complex industrial plants. Our methods emulate humans’ learning; they recursively recognize objects and industrial processes, from visually observed data, combining innovative “look-ahead” learning techniques, able to estimate future states of objects/events, with dynamic model evolution approaches to make robust identification which are resilient to environmental changes. It also continuously improves objects/operations’ learning by transferring knowledge within a network of distributed and active cameras so that what is learnt from one confident task will improve learning of other uncertain but related tasks. All these self adaptive strategies are framed with reverse learning methodologies (unlearning) which forgets erroneous or even contradictory visually observed and uncertain industrial operations. Reverse learning resembles humans’ brain activity during sleep sessions; it clarifies mistaken samples to improve knowledge generalization.en
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-11-05-
Ημερομηνία Δημοσίευσης2012-
Θεματική ΚατηγορίαLearning, Machineen
Θεματική Κατηγορίαmachine learningen
Θεματική Κατηγορίαlearning machineen
Βιβλιογραφική ΑναφοράA. Doulamis, N. Matsatsinis.(2012).Computer vision in scheduling of industrial operations under uncertainty in large-scale and dynamic environments.Presented at 11th international conference on Applications of Electrical and Computer Engineering.[online].Available:http://www.wseas.us/e-library/conferences/2012/Vouliagmeni/ACA/ACA-17.pdfen

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