o:18642 Određivanje pozicije mobilnih korisnika u javnim mobilnim sistemima korišćenjem metoda zasnovanih na support vector machine algoritmima doktorska disertacija Mobile user positioning in public land mobile networks by using methods based on support vector machines : doctoral dissertation sr Tokom prethodnih godina, potreba za podrškom sve većeg broja LBS (Location Based Services) servisa dovela je do intezivnog razvoja tehnika za pozicioniranje mobilnih korisnika (objekata) u radio sistemima. Pri tom, zahtevi koje sistemi za pozicioniranje treba da ispune, prvenstveno po pitanju tačnosti, ali i po pitanju kašnjenja, dostupnosti servisa, kompleksnosti i cene implementacije, postaju sve strožiji... Over the last years, the necessity of providing the support for various Location Based Services (LBS) has led to the intensive development of the techniques for mobile user (objects) positioning in radio systems. At the same time, the requirements that need to be fulfilled by the positioning technique in terms of accuracy, latency, availability, complexity and implementation costs, are getting higher... Tehničke nauke, elektrotehnika - telekomunikacije / Technical sciences, electrical engineering - telecommunications Datum odbrane: 18.09.2018. Javni mobilni sistemi, tehnike pozicioniranja, mašinsko učenje,Support Vector Machines, fingerprinting, segmentacija prostora, nivo signala baznihstanica javnih mobilnih sistema, relevantni izvori radio signala za pozicioniranje. Public Land Mobile Networks (PLMN), positioning techniques,machine learning, Support Vector Machines, fingerprinting, space-partitioning, signallevels from PLMN base stations, relevant radio sources for positioning yes 50650383 91552101 6156 91552100 50650383 2018-11-15T11:23:13.053Z 45 no 46 mentor Majda, 1986- Petrić 2018 63 mentor Aleksandar. Nešković 2018 63 član komisije Nataša, 1969- Nešković 2018 63 član komisije Mirjana. Simić Pejović 2018 63 član komisije Nikola. Tomašević 2018 63 član komisije Željko, 1964- Đurović 2018 187 listova 3690284 http://phaidrabg.bg.ac.rs/o:18642 no yes 4 2018-11-15T11:23:13.320Z 70 11 1067197 1067243 1067262 1067263 Javni mobilni sistemi, tehnike pozicioniranja, mašinsko učenje,Support Vector Machines, fingerprinting, segmentacija prostora, nivo signala baznihstanica javnih mobilnih sistema, relevantni izvori radio signala za pozicioniranje. Public Land Mobile Networks (PLMN), positioning techniques,machine learning, Support Vector Machines, fingerprinting, space-partitioning, signallevels from PLMN base stations, relevant radio sources for positioning 1738 11A04 2018