Environmental informatics with computational intelligence methods in mechanical engineering problems

Abstract

In this thesis, we identify appropriate tools in modern data technologies, such as Computational Intelligence, and develop methodologies for real world engineering problem solving. The main application domain of this thesis is the atmospheric environment. In particular, we address the problem of assessing the air quality of urban environments, taking into account the current legislation (2008/50/EC). We develop a harmonized framework consisting of computational intelligence methods, and apply this methodology in order to analyze air quality data of two European cities (Thessaloniki, Greece and Helsinki, Finland). Furthermore, we expand our approach by forecasting airborne pollen concentrations, whereas we demonstrate the development of innovative quality of life information services, by utilizing medical databases, thus turning numeric forecasts of pollen concentrations into personalized symptoms forecast. Furthermore, we develop and apply a methodology for creating electricity use pro ...
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DOI
10.12681/eadd/26167
Handle URL
http://hdl.handle.net/10442/hedi/26167
Alternative title
Περιβαλλοντική πληροφορική με μεθοδολογίες υπολογιστικής νοημοσύνης σε προβλήματα μηχανολόγου μηχανικού
Author
Voukantsis, Dimitris
Date
2011
Degree Grantor
Aristotle University Of Thessaloniki (AUTH)
Committee members
Καρατζάς Κωνσταντίνος
Μουσιόπουλος Νικόλαος
Σαμαράς Ζήσης
Βλαχάβας Ιωάννης
Μήτκας Περικλής
Μιχαηλίδης Αθανάσιος
Σεφερλής Παναγιώτης
Discipline
Natural Sciences
Computer and Information Sciences
Engineering & Technology
Mechanical Engineering
Keywords
Air quality; Computational intelligence; Allergic symptoms; Load profile
Country
Greece
Language
Greek
Description
xxv, 306 σ., tbls., fig., ind.