In the domain of access control, the notion of zone is still ambiguous. The zone demands clearer contextualization that resonates with the security operators in their workplace. Through interpretive research, this project aims to investigate intuitive ways to monitor the overview of security through visualisation and propose a groundwork that can facilitate discussion around future possibilities of zones in physical access control. Based on the sense making process, this project presents three visualisation models: textual, physical, and abstract. Each model explores various representations of zones to communicate zone-to-zone relationships to improve usability. Also, the design work demonstrates diverse expressive qualities interacting with spaces that are physical, conceptual, and logical. In the most practical sense, the zone means groups of doors, however, the zone also embodies an abstract layer of interpretation that is not strictly connected to a physical space.

This Master thesis was aimed at investigating common daylight evaluation methods related to Swedish building codes versus human perception of daylight in residential spaces. Field (interview) and simulation-based study were conducted in one of the typical 20thcentury residential, closed courtyard buildings in Stockholm.   12 residents of Kv. Väktaren 16 were interviewed and simulation models were prepared for the apartments occupied by the participants.   Resident perception of light was mostly contrary to daylight assessing values and methods of daylight factor – DF in a point (CIE overcast sky) and alternative method of window to floor area ratio – AF that are stated in Swedish standard (Boverkets byggregler BFS 2016:6).    Attractive and interesting view, access to direct sunlight and visual comfort played important role in overall occupant satisfaction level, this suggests that daylight metrics should include perception-based factors, which positively impact our health and well-being.

Atmospheres, events, feelings, every sensation has its own music. And the human being has been highly educated to feel the glamour of them through the hearing sense. We know how a terrifying situation sounds like; what would be the musical accompaniment for a warzone scenario or what is the perfect piece for getting into a state of relaxation. Thanks to music design it has been possible to immerse the spectator into a deeper sensorial perception experience. Users close their eyes, and feel. What if we close our ears, and feel? This thesis aims to transport the qualities of sound that produces feelings into people, to visual values communicated by an approach to architectural lighting design into architectural spaces. A music example is chosen according to the intended emotion to be transposed. It is analysed, evaluated and related to a series of theoretical fundamentals based on visual psychology, human experience, multisensorial connections and lighting design. Laws of correlation are stablished and applied to a case study which ends as a theoretical concept design of an architectural lighting design installation. Closing the document, a statement of guidelines for the conversion of subjective emotional qualities perceived from musical examples is stablished and discussed the use of it in architecture.

The practicum examines the impact of the physical layout of cities on the way we perceive them. In particular it examines the influence of natural, social, and built elements in perception of the downtown core of Winnipeg. It goes on to propose an urban design strategy for the downtown core, supported by supplementary urban design guidelines. / October 2016

Το ερευνητικό αντικείμενο της συγκεκριμένης διατριβής αναφέρεται στην επεξεργασία έγχρωμης εικόνας με χρήση της θεωρίας γράφων, την ανάκτηση εικόνας καθώς και την οργάνωση / διαχείριση βάσεων δεδομένων με μεθόδους γραφημάτων και αναγνώρισης προτύπων, με εφαρμογή σε πολυμέσα. Τα συγκεκριμένα προβλήματα προσεγγίστηκαν διατηρώντας τη γενικότητά τους και επιλύθηκαν με βάση τα ακόλουθα σημεία: 1. Ανάπτυξη τεχνικών για την επιλογή χαρακτηριστικών από τις εικόνες βάσει χαρακτηριστικών χαμηλού επιπέδου (χρώματος και υφής), για χρήση τους σε εφαρμογές ομοιότητας και ανάκτησης εικόνας. 2. Υπολογισμός μετρικών και αποστάσεων στο χώρο των χαρακτηριστικών. 3. Μελέτη της πολυσχιδούς δομής των εικόνων μιας βάσης στο χώρο των χαρακτηριστικών. 4. Ελάττωση της διάστασης του χώρου και παραγωγή αναπαραστάσεων δύο διαστάσεων. 5. Εφαρμογή των μεθόδων αυτών σε υποκειμενικές αποστάσεις εικόνων. Η θεωρία γράφων και οι μέθοδοι αναγνώρισης προτύπων χρησιμοποιήθηκαν προκειμένου να παρουσιαστούν βέλτιστες λύσεις αφενός στο πρόβλημα της ανάκτησης εικόνων από βάσεις δεδομένων και αφετέρου στην οργάνωση και διαχείριση τέτοιων βάσεων εικόνων. Η διατριβή φέρνει πιο κοντά την επεξεργασία εικόνας με μεθόδους προερχόμενες από τη θεωρία γραφημάτων, τη στατιστική και την αναγνώριση προτύπων. Σε όλη τη διάρκεια της διατριβής, ιδιαίτερη έμφαση δόθηκε στο ζήτημα της εύρεσης του κατάλληλου συνδυασμού μεταξύ της αποτελεσματικότητας των συστημάτων και της αποδοτικότητας στα πλαίσια της εφαρμογής των προτεινόμενων αλγοριθμικών διαδικασιών. Τα αναλυτικά πειραματικά αποτελέσματα που πραγματοποιήθηκαν, αποδεικνύουν την βελτιωμένη απόδοση των προτεινόμενων μεθοδολογιών. / The subject of this doctoral thesis is related to color image processing using graph theoretic methods, image retrieval and image database management and organization in the reduced feature space, using pattern recognition analysis, with multimedia applications. The author attempted to approach the thesis subject by retaining its genericness and addressing the following points: 1. Development of techniques for extraction of image visual attributes based on low level features (color and texture information), to be used for image similarity and retrieval practices. 2. Calculation of metrics and distances in the feature space. 3. Study of the image manifolds created in the selected feature space. 4. Application of dimensionality reduction techniques and production of biplots. 5. Application of the proposed methodologies using perceptual image distances. Graph theory and pattern recognition methodologies were incorporated in order to provide novel solution to color image retrieval of image databases, as well as to image database management and organization. The current thesis brings closer image processing with graph theoretic methodologies, statistical analysis and pattern recognition. Throughout the thesis, consideration has been taken for finding the best trade off between effectiveness and efficiency when applying the proposed algorithmic procedures. The extended experimental results carried out in all stages of the projected studies reveal the enhanced performance of the proposed methodologies.