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doctoral thesis
Razvrstavanje objekata s prostornom neodređenosti primijenjeno na modelu skladišta
2014. urn:nbn:hr:200:277198
Kohler, Mirko
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

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Kohler, M. (2014). Razvrstavanje objekata s prostornom neodređenosti primijenjeno na modelu skladišta (Doctoral thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:277198

Kohler, Mirko. "Razvrstavanje objekata s prostornom neodređenosti primijenjeno na modelu skladišta." Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2014. https://urn.nsk.hr/urn:nbn:hr:200:277198

Kohler, Mirko. "Razvrstavanje objekata s prostornom neodređenosti primijenjeno na modelu skladišta." Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2014. https://urn.nsk.hr/urn:nbn:hr:200:277198

Kohler, M. (2014). 'Razvrstavanje objekata s prostornom neodređenosti primijenjeno na modelu skladišta', Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 07 January 2025, https://urn.nsk.hr/urn:nbn:hr:200:277198

Kohler M. Razvrstavanje objekata s prostornom neodređenosti primijenjeno na modelu skladišta [Doctoral thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2014 [cited 2025 January 07] Available at: https://urn.nsk.hr/urn:nbn:hr:200:277198

M. Kohler, "Razvrstavanje objekata s prostornom neodređenosti primijenjeno na modelu skladišta", Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2014. Available at: https://urn.nsk.hr/urn:nbn:hr:200:277198

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Metadata
TitleRazvrstavanje objekata s prostornom neodređenosti primijenjeno na modelu skladišta
Title (english)Clustering of objects with spatial uncertainty applied on a warehouse model
AuthorMirko Kohler
MentorKrešimir Nenadić (mentor)
Committee memberŽeljko Hocenski (predsjednik povjerenstva)
Committee memberMario Žagar (član povjerenstva)
MBZ: 77755
Committee memberAlfonzo Baumgartner (član povjerenstva)
Committee memberDamir Blažević (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Visual Computing)
Osijek
Defense date and country2014-11-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Program Engineering
Universal decimal classification
(UDC)		62 - Engineering. Technology in general
Abstract
U ovoj disertaciji predstavljene su prilagođene metode i predložena je nova Kombinirana metoda za razvrstavanje objekata koji sadrže neodređenost u svojim prostornim podacima u ℝ3 geometrijskom prostoru. Kombinirana metoda koristi prednosti i uklanja nedostatke postojećih metoda. Ona omogućuje brže razvrstavanje objekata neodređenosti koristeći jednostavne matematičke funkcije usporedbe za odbacivanje grozdova, a koristeći simetralne ravnine za usporedbu i odbacivanju grozdova kao potencijalnih kandidata odbacuje dodatni broj grozdova. Metoda znatno ubrzava proces odbacivanja grozdova, u odnosu na postojeće metode, tako što minimalizira ukupan broj objekata za koji je potrebno računati očekivanu udaljenost. Stvoren je model skladišta za verifikaciju nove metode razvrstavanja i u njemu provedeni pokusi s ciljem skraćivanja vremena razvrstavanja proizvoda i pronalaženja optimalnih pozicija za poslužitelje. Predstavljeni su prijedlozi za optimiranje posluživanja prilagođavanjem modela skladišta novoj metodi. Na temelju prijedloga kreiran je novi model skladišta nad kojim su provedeni isti pokusi s ciljem dokazivanja ubrzavanja procesa razvrstavanja.
Abstract (english)
In this dissertation adapted methods and new combined method for clustering spatially uncertain data in ℝ3 geometrical space are presented. The proposed combined method uses the advantages and eliminates the disadvantages of the existing methods. Combined method enables faster clustering of objects with spatial uncertainty using simple comparisons mathematical functions for cluster pruning. Pruning additional number of clusters is achived by using bisector planes for comparison and rejection of clusters as potential candidates. The new method significantly speeds up the process of pruning clusters, compared to existing methods. This is achived by minimizing the total number of objects for which it is necessary to calculate the expected distance. A warehouse model for verification of new clusternig method is created. Experiments are carried out with the aim of shortening the time for clustering of products and finding the optimal position for automated servers. Proposals for servis optimizing by customizing warehouse model, for new method, are presented. On the basis of proposals new warehouse model is created. On the new developed model same experiments are performed with the aim of proving acceleration of the clustering process.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:277198
Promotion2016-04-09
Study programmeTitle: Postgraduate doctoral study programme; branch Power Engineering and Communications, branch Informatics
Course: branch Informatics
Study programme type: university
Study level: postgraduate
Academic / professional title: doktor/doktorica znanosti, područje tehničkih znanosti, polje elektrotehnika (doktor/doktorica znanosti, područje tehničkih znanosti, polje elektrotehnika)
Type of resourceText
Extent108
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2016-04-22 12:54:45