Prostorna inteligencija

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Laboratorij za prostornu inteligenciju

VHZK KUAS Spatial Intelligence Lab_14JUN24

Cilj laboratorija

Provedba znanstveno-istraživačkih, stručnih, nastavnih i savjetodavnih aktivnosti u područjima znanstvenog i stručnog interesa, rezultatima prenošenim u znanstveni razvoj, akademsko obrazovanje, stručno usavršavanje, prijenos znanja i savjetodavne usluge za potrebe komercijalnih projekata te za
dobrobit opće javnosti.Analiza IoT podataka u prirodnim, životnim i radnim okruženjima za poboljšanje kvalitete života i optimizaciju radnih uvjeta i poslovnih procesa u prometu, energetici – pametni gradovi, poslovanju i logistici. Razvoj je temeljen na Arduinu i Raspberry Piju.

Područja znanstveno-istraživačkog i stručnog interesa

  1. Metode, tehnologije i algoritmi određivanja položaja, navigacija i vremena (Positioning, Navigation, and Timing, PNT), Ambient-Aware Applications-Aligned (AA)2 GNSS PNT
  2. Metode izračuna prostorne nesigurnosti
  3. Detekcije anomalija u pojavama i vremenskim nizovima
  4. Prostorno-vremensko statističko/strojno učenje i umjetna inteligencija za prostorna obilježja, procese i pojave
  5. Karakterizacija, analiza, modeliranje i prognoza putanja u prostoru
  6. Analiza, modeliranje i prognoza prostornog zauzimanja (occupancy)

Istraživanja su izvedena korištenjem razvijene vlastite programske podrške u programskom okruženju otvorenog koda R.

Voditelj Laboratorija za prostornu inteligenciju

naslovni prof. dr. sc. Renato Filjar, prof. str. stud.
E-mail: renato.filjar@vhzk.hr

Suradnici/članovi Laboratorija za prostornu inteligenciju

mr. sc. Robert Spudić, v. pred.
Filip Šklebar, pred.
Jurica Kaponja, asistent
prof. dr. sc. Teodor B Iliev (vanjski suradnik, Sveučilište u Ruseu, Ruse, Bugarska)
dr. sc. Oliver Jukić, prof. str. stud. (vanjski suradnik, privreda, Slatina)
Ivan Heđi, v. pred. (vanjski suradnik, Veleučilište u Virovitici, Virovitica)renato.filjar@vhzk.hr

Znanstveno-istraživački projekti Laboratorija za prostornu inteligenciju

Naziv projekta Voditelj projekta Razdoblje provedbe projekta Priroda projekta Status projekta
Analiza kvalitete određivanja položaja Multi-GNSS sustavima na području sjeverne Hrvatske u povezanosti s lokalnim ionosferskim uvjetima
nasl. prof. dr. sc. Renato Filjar
01/05/2023 - 01/05/2028
znanstveno- istraživački, interni, međunarodni
otvoren, u provedbi
Suradnja mladih i starijih istraživača VHZK na znanstvenom projektu u svrhu napretka osobnih i institucionalnih kompetencija
Filip Šklebar, pred.
01/04/2023 - 01/07/2023
razvoj kompetencija zaposlenika i vanjskih suradnika
završen
Izračun prostorne nesigurnosti
nasl. prof. dr. sc. Renato Filjar
19/10/2023 - 19/10/2028
znanstveno- istraživački, interni, međunarodni
otvoren, u provedbi
Pružanje usluge stručnog usavršavanja za vanjskog naručitelja, Strukovnu školu Đurđevac, CEKOM - LPI2 Satelitska navigacija, GPS/Galileo/Glonass/Beidou/GNSS
nasl. prof. dr. sc. Renato Filjar – voditelj i izvršitelj projekta
18/09/2023 – 31/12/2023
pružanje usluge stručnog usavršavanja za vanjskog naručitelja, komercijalni savjetodavni projekt
završen

Vezani nastavni predmeti na studijima VHZK

  1. Osnove ITS-a
  2. Internet stvari (IoT)
  3.  Mobilne komunikacije
  4. Modul Umjetna inteligencija, predmeti:
    1. Strojno učenje
    2. Prostorna umjetna inteligencija
    3. Umjetna inteligencija za prostornu mobilnost
    4. Prostora ekonometrija
  5. Prijedlog nastavnog plana i izvedbenog programa studija Upravljanje alternativnom energijom

Popis znanstveno-istraživačkih i stručnih radova

  1. Radovi objavljeni u znanstvenim časopisima citiranim u međunarodnim bazama Current Contents (CC), Scopus/Elsevier (SC), and/or Thomson/Reuters Web of Science (WoS)

    1.1. Malić, E, Sikirica, N, Špoljar, D, Filjar, R. (2023). A method and a model for risk assessment of GNSS utilisation with a proof-of-principle demonstration for polar GNSS maritime applications. TransNav, 17(1), 43-50. doi: 10.12716/1001.17.01.03
    1.2. Iliev, T B, Sikirica, T, Špoljar, D, Filjar, R. (2022). Contribution of Daily General Mobility to PM10 Concentration Development in Sisak-Moslavina County, Croatia During Covid-19 Pandemic in 2020. Communications, 26(2), D85-D91. doi: https://doi.org/10.26552/com.C.2022.2.D85-D91
    1.3. Mehmood M, Saleem S, Filjar R. (2022). Eyjafjallajökull Volcanic Ash 2010 Effects on GPS Positioning Performance in the Adriatic Sea Region. Atmosphere. 13(1), No. 47, p16. doi: 10.3390/atmos13010047 (CC, WoS, SC)
    1.4. Špoljar, D, Jukić, O, Sikirica, N, Lenac, K, Filjar, R. (2021). Modelling GPS Positioning Performance in Northwest Passage during Extreme Space Weather Conditions. TransNav, 15(1), 165-169. doi:10.12716/1001.15.01.16 (WoS)
    1.5. Mehmood, M, Saleem, S, Filjar, R, Naqvi, N A, Ahmed, A. (2021). Total Electron Content (TEC) estimation over Pakistan from local GPS network using spherical harmonics. Annals of Geophysics, 64(1), GD102 (14 pages). doi: https://doi.org/10.4401/ag-8433 (SC)
    1.6. Mehmood, M, Filjar, R, Saleem, S, Hah, M, Ahmed, A. (2021). TEC derived from local GPS network in Pakistan and comparison with IRI-2016 and IRI-PLAS 2017. Acta Geophys, 69, 381–389. doi: https://doi.org/10.1007/s11600-021-00538-0 (CC, WoS CC, SC)
    1.7. Lenac, K, Filjar, R. (2021). Recurrence Plot Analysis of GPS Ionospheric Delay Time Series in Extreme Ionospheric Conditions. Computers & Geoscience, 147, No. 104613 (11 pages). doi: https://doi.org/10.1016/j.cageo.2020.104613 (CC, WoS CC)
    1.8. Filjar, R, Sklebar, I, Horvat, M. (2020). A Comparison of Machine Learning-Based Individual Mobility Classification Models Developed on Sensor Readings from Loosely Attached Smartphones. Communications – Scientific Letters of the University of Zilina, 22(4), 153-162. doi: https://doi.org/10.26552/com.C.2020.4.153-162 (SC)
    2. Radovi objavljeni u ostalim znanstvenim i stručnim časopisima
    2.1. Filjar, R, Klopotan, I, Sikirica, N, Hedji, I, Sklebar, F. (2024). A GPS/GNSS Utilisation Risk Model Facilitates GNSS Applications Development and Operation. Coordinates, 20(2), 5 – 8. Available at: https://mycoordinates.org/pdf/feb24.pdf
    2.2. Filjar, R, Šklebar, F, Zubić, I. (2023). Distributed GNSS Positioning-as-a-Service: Death of a Traditional GNSS Receiver? Coordinates, 19(8), 5 – 8. Available at: https://mycoordinates.org/pdf/aug23.pdf, https://mycoordinates.org/distributed-gnss-positioning-as-a-
    service-death-of-a-traditional-gnss-receiver/

    2.3. Heđi, I, Ciriković, E, Borković, Ž, Filjar, R. (2023). A method for assemblage of an open access data set for research in geomagnetic effects on GPS/GNSS ionospheric delay in sub-equatorial regions. Journal of CIEES, 3(1), 7-11. doi: 10.48149/jciees.2023.3.1.1
    2.4 Šutalo, K, Šutalo, A, Filjar, R. (2023). The importance of strain and stiffness index in the assessment of the function and structure of the left atrium. Cardiologia Croatica, 18(5-6), 129. doi:10.15836/ccar2023.129
    2.5. Stoyanovski, B, Iliev, T, Cesarec, R, Filjar, R. (2022). Spatial Machine Learning Personal Mobility Predictive Model Trained with Smartphone-Collected Trajectory Data. The Journal of CIEES, 2(2), 7–12. doi: 10.48149/jciees.2022.2.2.1
    2.6. Špoljar, D, Štajduhar, I, Lenac, K, Filjar, R. (2021). A Predictive Model of Multipath Effect Contribution to GNSS Positioning Error for GNSS-based Applications in Transport and Telecommunications. The Journal of CIEES, 1(2), 7–13. doi: https://doi.org/10.48149/jciees.2021.1.2.1
    2.7. Šutalo, K, Šutalo, A, Filjar, R. (2021). Difference between left atrium function and size in athletes and healthy population. Cardiologia Croatica, 16(5-6), 198. doi:10.15836/ccar2021.198
    3. Radovi predstavljeni na međunarodnim znanstvenim skupovima i objavljeni u recenziranim zbornicima
    radova
    3.1. Sikirica, N, Filjar, R. (2024). Probability of occurrence model for GNSS PNT utilisation risk assessment facilitates GNSS application developments in the fields of aviation and maritime. Proc UN/Philippines Workshop on Applications of GNSS. Manila, Philippines. doi: http://dx.doi.org/10.13140/RG.2.2.34866.82883. Available at:
    https://www.unoosa.org/documents/pdf/psa/activities/2024/GNSS2024/GNSS2024_07_02.pdf
    3.2. Filjar, R. (2024). Ambient-Aware Applications-Aligned (AA)2 PNT. Proc UN/Philippines Workshop on Applications of GNSS. Manila, Philippines. doi: http://dx.doi.org/10.13140/RG.2.2.28155.94246. Available at:
    https://www.unoosa.org/documents/pdf/psa/activities/2024/GNSS2024/GNSS2024_WG_01.pdf,
    https://www.unoosa.org/documents/pdf/psa/activities/2024/GNSS2024/UN_Philippines_GNSS_2024_-
    _Book_of_abstracts_20240417.pdf
    3.3. Filjar, R. (2024). Ambient-Aware PNT. UN ICG Workshop on GNSS Interference Detection and Mitigation. Hilton Waikiki Beach, Honolulu HI. doi: http://dx.doi.org/10.13140/RG.2.2.14734.16965. Available at: https://www.unoosa.org/documents/pdf/icg/IDM/IDM11/IDM11_2024_06.pdf
    3.4. El Yousoufi, H, Emran, A, Filjar, R. (2024). Identification of GPS PNT degradation using analysis of non-linear properties of GPS-derived TEC time series. Proc ION ITM 2024, 135 – 145. Long Beach, CA. doi: https://doi.org/10.33012/2024.19527
    3.5. Cirikovic, E, Sklebar, F, Koprivanac, D, Radovic, A, Hedji, I, Filjar, R. (2024). TEC Cullen & Frey graph as a criterion for classification of ionospheric events causing GNSS PNT degradation. Proc 31st TELFOR 2023, 45-49. Belgrade, Serbia. https://doi.org/10.1109/TELFOR59449.2023.10372738

    3.6. Sikirica, N, Rabiu, B, Iliev, T B, Filjar, R. (2023). A statistical analysis of GNSS-derived 2014 mid- latitude TEC climate at Matera, Italy. Proc URSI GASS 2023. Sapporo, Japan. doi: https://doi.org/10.23919/URSIGASS57860.2023.10265374
    3.7. Heđi, I, Malić, E, Sikirica, N, Musulin, M, Šimag, D, Filjar, R. (2022). An analysis of GNSS TEC predictability during a rapidly developing short-term geomagnetic storm using Shannon entropy. Proc of 30th TELFOR, 31 – 35. Belgrade, Serbia. doi: 10.1109/TELFOR56187.2022.9983679
    3.8. Filjar, R. (2022). On performance assessment of machine learning-based GNSS ionospheric delay correction model based on space weather predictors in immediate positioning environment. Proc International Workshop on Machine Larning for Space Weather: Fundamentals, Tools, and Future Prospects. International Centre for Theoretical Physics ICTP). Buenos Aires, Argentina. Available at: https://indico.ictp.it/event/9840/session/3/contribution/21/material/slides/
    3.9. Filjar, R, Damas, M C. (2022). Augmented space weather situation awareness as the means for GNSS resilience development in self-adaptive SDR GNSS position estimation. Presented at 21st International Beacon Satellite Symposium. Boston College, Chestnut Hill, MA. 12.
    3.10. Filjar, R, Sikirica, N, Iliev, T B, Jukić, O. (2022). A Risk Assessment of Space Weather-caused GPS Positioning Accuracy Degradation for GPS Applications in Polar Regions. Presented at 21st International Beacon Satellite Symposium. Boston College, Chestnut Hill, MA.
    3.11. Sikirica, N, Zhen, W, Filjar, R. (2022). Statistical properties of mid-latitude TEC time series observed during rapidly developing short-term geomagnetic storms: A contribution to GNSS-related TEC predictive model development. Proc 3rd URSI AT-AP-RASC. Gran Canaria, Spain. doi:
    10.23919/AT-AP-RASC54737.2022.9814229
    3.12. Bračević, R, Jošanov Vrgović, I, Kralj, K, Popović, I, Filjar, Renato. (2022). An analysis of causal relation between daily commercial flights intensity and daily Covid-19 infections, in Croatia, during the 4th wave of Covid-19 epidemics. Zbornik radova 5. simpozija Veleučilišta Hrvatsko Zagorje
    Krapina Susreti 2022, 91-96. Krapina, Croatia. ISBN 978-953-57602-5-2
    3.13. Filjar, R. (2022). An application-centred resilient GNSS position estimation algorithm based on positioning environment conditions awareness. Proc ION ITM 2022, 1123 – 1136. Long Beach, CA. doi: 10.33012/2022.18247
    3.14. Kalaminec, H, Popović, I, Spudić, R, Filjar, R. (2022). Mobility patterns as contributors to Covid-19 spread in Croatia. AIP Conference Proceedings 2570: Proc of International Scientific Conference on Communications, Information, Electronic and Energy Systems – CIEES 2021, 020001-1- 020001-7.
    Ruse, Bulgaria. doi: 10.1063/5.0099921
    3.15. Filjar, R. (2022). A contribution to short-term rapidly developing geomagnetic storm classification for GNSS ionospheric effects mitigation model development. Presented at ICEASE 2021 Conference. Islamabad, Pakistan. doi: 10.1109/ICASE54940.2021.9904168

    3.16. Zubić, I, Bračević, R, Kralj, K, Sikirica, N, Jukić, O, Filjar, R. (2021). Telecommunication activity- derived public mobility indices as drivers of PM2.5 concentration in north-western Croatia at the time of Covid-19 outbreak in the early 2020. Proc of 29th TELFOR 2021, #2.8, p3. Belgrade, Serbia. doi:
    10.1109/TELFOR52709.2021.9653242

    3.17. Jukić, O, Filjar, R, Heđi, I, Ciriković, E. (2021). MQTT-like Network Management Architecture. Proc of MIPRO 2021, 459-463. Opatija, Croatia. doi: 10.23919/MIPRO52101.2021.9596894
    3.18. Sikirica, N, Dimc, F, Jukić, O, Iliev, T B, Špoljar, D, Filjar, R. (2021). A Risk Assessment of Geomagnetic Conditions Impact on GPS Positioning Accuracy Degradation in Tropical Regions Using Dst Index. Proc ION ITM 2021, 606-615. San Diego, CA. doi: 10.33012/2021.17852
    3.19. Filjar, R, Damas, M C, Iliev, T B. (2020). Resilient Satellite Navigation Empowers Modern Science, Economy, and Society. CIEES 2020. IOP Conf. Ser: Mater Sci Eng 1032, 012001 (10 pages). Borovets, Bulgaria. doi:10.1088/1757-899X/1032/1/012001 (Scopus)
    3.20. Jukić, O, Iliev, T B, Sikirica, N, Lenac, K, Špoljar, D, Filjar, R. (2020). A method for GNSS positioning performance assessment for location- based services. Proc of 28th Telecommunications Forum TELFOR 2020 (4 pages). Belgrade, Serbia. doi: 10.1109/TELFOR51502.2020.9306548 (IEEE
    Xplore)
    3.21. Filjar, R, Weintrit, A, Iliev, T, Malčić, G, Jukić, O, Sikirica, N. (2020). Predictive Model of Total Electron Content during Moderately Disturbed Geomagnetic Conditions for GNSS Positioning Performance Improvement. Proc FUSION2020, 256-262. Pretoria, South Africa. doi:
    https://doi.org/10.23919/FUSION45008.2020.9190264

Međunarodna suradnja

Laboratorij za prostornu inteligenciju VHZK intenzivno surađuje sa sljedećim međunarodnim organizacijama i institucijama:

  1. Tehnički fakultet Sveučilišta u Rijeci, Rijeka, Hrvatska
  2. Centre for Artificial Intelligence and Cybersecurity, Sveučilište u Rijeci, Rijeka, Hrvatska
  3. UN African Regional Centre for Space Science, Technology, and Education (UN-ARCSSTE), Ile-Ife,
    Nigeria
  4. Gdynia Maritime University, Gdynia, Poland, Poland
  5. University of Ruse, Ruse, Bulgaria
  6. International School, Beihang University, Beijing, China
  7. China Research Institute of Radiowave Propagation (CRIRP), Qinghdao, China
  8. Virovitica University of Applied Sciences, Virovitica, Hrvatska
  9. Elektrotehnički fakultet, Univerzitet u Beogradu, Beograd, Srbija
  10. UN International Space Weather Initiative (ISWI)


Suradnici Laboratorija za prostornu inteligenciju su članovi i/ili aktivno djeluju u sljedećim međunarodnim organizacijama i agencijama:

  1. UN International Committee on GNSS (ICG), Vienna, Austria
  2. US National Space-Based PNT Advisory Board, Washington, DC
  3. EC Space Programme Committee – Galileo and EGNOS Configuration (SPC-GEC), Bruxelles, Belgium, EU
  4. European Agency for Space Programme (EUSPA) GNSS Raw Measurements Task Force, Prague, Czechia, EU
  5. American Statistical Association, Alexandria, VA
  6. Union Radio-Scientifique Internationale (URSI), Gent, Belgium
  7. Society of Industrial and Application Mathematics (SIAM), Philadelphia, PA
  8. The Royal Institute of Navigation (RIN), London, UK
  9. The Institute of Navigation (ION), Manassas, VA

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