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undergraduate thesis
PROCJENA GUŽVE U STUDENTSKOJ MENZI POMOĆU DETEKCIJE WIFI SIGNALA PAMETNIH TELEFONA
2024. urn:nbn:hr:190:628307
Ivanić, Luka
University of Rijeka
Faculty of Engineering
Department of Computer Engineering
Section of Intelligent Computing Systems

Cite this document

Ivanić, L. (2024). PROCJENA GUŽVE U STUDENTSKOJ MENZI POMOĆU DETEKCIJE WIFI SIGNALA PAMETNIH TELEFONA (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:628307

Ivanić, Luka. "PROCJENA GUŽVE U STUDENTSKOJ MENZI POMOĆU DETEKCIJE WIFI SIGNALA PAMETNIH TELEFONA." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2024. https://urn.nsk.hr/urn:nbn:hr:190:628307

Ivanić, Luka. "PROCJENA GUŽVE U STUDENTSKOJ MENZI POMOĆU DETEKCIJE WIFI SIGNALA PAMETNIH TELEFONA." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2024. https://urn.nsk.hr/urn:nbn:hr:190:628307

Ivanić, L. (2024). 'PROCJENA GUŽVE U STUDENTSKOJ MENZI POMOĆU DETEKCIJE WIFI SIGNALA PAMETNIH TELEFONA', Undergraduate thesis, University of Rijeka, Faculty of Engineering, accessed 23 December 2024, https://urn.nsk.hr/urn:nbn:hr:190:628307

Ivanić L. PROCJENA GUŽVE U STUDENTSKOJ MENZI POMOĆU DETEKCIJE WIFI SIGNALA PAMETNIH TELEFONA [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2024 [cited 2024 December 23] Available at: https://urn.nsk.hr/urn:nbn:hr:190:628307

L. Ivanić, "PROCJENA GUŽVE U STUDENTSKOJ MENZI POMOĆU DETEKCIJE WIFI SIGNALA PAMETNIH TELEFONA", Undergraduate thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:190:628307

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TitlePROCJENA GUŽVE U STUDENTSKOJ MENZI POMOĆU DETEKCIJE WIFI SIGNALA PAMETNIH TELEFONA
Title (english)Estimation of Student Restaurant Congestion by Detection of Smartphones WiFi Signals
AuthorLuka Ivanić
MentorMladen Tomić (mentor)
Committee memberMiroslav Joler (predsjednik povjerenstva)
Committee memberMladen Tomić (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Computer Engineering)
(Section of Intelligent Computing Systems)
Rijeka
Defense date and country2024-09-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Information Systems
Abstract
U ovome radu istraživali su se pristupi rješavanja problema redovitog dugog čekanja u redu u studentskim menzama. Definirale su se važne značajke problema, a najvažnija značajke je karakteristika kaotičnog kretanja gužve u čak i malim vremenskim periodima u danu. Dovelo se do zaključka da je zbog karakteristike subjektivnog iskustva tijekom čekanja bolje kategorizirati stanja gužve, nego gledati ih kao na kontinuiranu vrijednost. Stanje gužve u menzi podijelile su se u tri kategorije; kratak red, srednji red i dugačak red. Uz postignute zaključke odabrao se pristup detektiranja gužve čitanjem WiFi signala. Kako svaki korisnik menze sa sobom nosi osobni pametni telefon, detektiranjem poslanih WiFi signala i sakupljanjem jedinstvenih MAC adresa dolazi se do broja ljudi u menzi. Postavljanjem uređaja koji detektira WiFi signale u blizini reda čekanja u menzi i filtriranjem pronađenih uređaja po jačini WiFi signala (tj. po lokacijskoj udaljenosti), broje se isključivo ljudi koji čekaju u redu. Tehničkom izvedbom i testiranjem dovelo se do zaključka da ovaj pristup problemu pruža adekvatnu točnost za potrebe ovoga rada. Uspostavljanjem poslužitelja i web sučelja korisniku se pruža „glatko“ iskustvo pregleda trenutnog stanja gužve u menzi, te polaskom u menzu isključivo tijekom male gužve korisniku se znatno smanjuje vrijeme čekanja u redu.
Abstract (english)
This thesis investigates different approaches to solving the problem of regular long queue times in student restaurants. The problem's important features were defined, and the most important feature is the characteristic of the chaotic occupancy pattern of the queue, even in relatively small periods. It was concluded that due to the nature of the subjective experience during wait times, it is better to categorize queue lengths, rather than to see them as a continuous value. Queue length was divided into three categories; short, medium and long. With the reached conclusions, the approach of capturing WiFi signals to detect crowds was chosen. As each restaurant user carries a personal smartphone, the number of people in the restaurant can be obtained by capturing WiFi packets and counting unique MAC addresses. By placing the capture device that detects WiFi signals near the restaurant queue, and filtering the detected devices by WiFi signal strength (ie by distance), only people waiting in the queue are counted. Developing and testing the chosen approach, it was concluded that it provides adequate accuracy for the needs of this thesis. By establishing a server and a web interface, the user can check the current state of the queue in the restaurant. By going to the restaurant only during short queues, the user's waiting time in line is significantly reduced.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:628307
Study programmeTitle: Computer Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2024-09-10 15:03:42