TY  - JOUR
AU  - Rabasović, Maja S
AU  - Savić-Šević, Svetlana N.
AU  - Križan, Janez
AU  - Matović, Branko
AU  - Nikolić, Marko
AU  - Šević, Dragutin
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/11984
AB  - This paper examines the potential applications of machine learning algorithms in the analysis of optical spectra from Gd2O3:Er,Yb thermophosphor. The material was synthesized using the solution combustion method. For data acquisition, we employed pulsed laser diode excitation at 980 nm and utilized a streak camera with a spectrograph to obtain time-resolved spectral data of the optical emission from Gd2O3:Er,Yb. To ensure data consistency and facilitate visualization, we employed principal component analysis and Uniform Manifold Approximation and Projection clustering. Our findings demonstrate that, instead of the conventional approach of identifying spectral peaks and calculating intensity ratios, it is feasible to train computer software to recognize time-resolved spectra associated with different temperatures of the thermophosphor. Through our analysis, we have successfully devised a technique for remote temperature estimation by leveraging deep learning artificial neural networks.
T2  - Physica Scripta
T1  - Time resolved study of temperature sensing using Gd                    2                    O                    3                    :Er,Yb: deep learning approach
VL  - 98
IS  - 11
SP  - 116003
DO  - 10.1088/1402-4896/ad01ed
ER  - 

@article{
author = "Rabasović, Maja S and Savić-Šević, Svetlana N. and Križan, Janez and Matović, Branko and Nikolić, Marko and Šević, Dragutin",
year = "2023",
abstract = "This paper examines the potential applications of machine learning algorithms in the analysis of optical spectra from Gd2O3:Er,Yb thermophosphor. The material was synthesized using the solution combustion method. For data acquisition, we employed pulsed laser diode excitation at 980 nm and utilized a streak camera with a spectrograph to obtain time-resolved spectral data of the optical emission from Gd2O3:Er,Yb. To ensure data consistency and facilitate visualization, we employed principal component analysis and Uniform Manifold Approximation and Projection clustering. Our findings demonstrate that, instead of the conventional approach of identifying spectral peaks and calculating intensity ratios, it is feasible to train computer software to recognize time-resolved spectra associated with different temperatures of the thermophosphor. Through our analysis, we have successfully devised a technique for remote temperature estimation by leveraging deep learning artificial neural networks.",
journal = "Physica Scripta",
title = "Time resolved study of temperature sensing using Gd                    2                    O                    3                    :Er,Yb: deep learning approach",
volume = "98",
number = "11",
pages = "116003",
doi = "10.1088/1402-4896/ad01ed"
}

Rabasović, M. S., Savić-Šević, S. N., Križan, J., Matović, B., Nikolić, M.,& Šević, D.. (2023). Time resolved study of temperature sensing using Gd                    2                    O                    3                    :Er,Yb: deep learning approach. in Physica Scripta, 98(11), 116003.
https://doi.org/10.1088/1402-4896/ad01ed

Rabasović MS, Savić-Šević SN, Križan J, Matović B, Nikolić M, Šević D. Time resolved study of temperature sensing using Gd                    2                    O                    3                    :Er,Yb: deep learning approach. in Physica Scripta. 2023;98(11):116003.
doi:10.1088/1402-4896/ad01ed .

Rabasović, Maja S, Savić-Šević, Svetlana N., Križan, Janez, Matović, Branko, Nikolić, Marko, Šević, Dragutin, "Time resolved study of temperature sensing using Gd                    2                    O                    3                    :Er,Yb: deep learning approach" in Physica Scripta, 98, no. 11 (2023):116003,
https://doi.org/10.1088/1402-4896/ad01ed . .

TY  - CONF
AU  - Rabasović, Maja
AU  - Šević, Dragutin
AU  - Križan, Janez
AU  - Rabasović, M. D.
AU  - Savić-Šević, S.
AU  - Mitrić, Miodrag
AU  - Petrović, M.
AU  - Gilić, M.
AU  - Romčević, Nebojša Ž.
PY  - 2017
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10889
AB  - The gadolinium vanadate doped with samarium (GdVO4 :Sm3+) nanopowder was prepared by the solution combustion synthesis (SCS) method. After synthesis, in order to achieve the full crystallinity, the material was annealed in air atmosphere at 1300 °C. Phase identification in the post-annealed powder samples were performed by X-ray diffraction, and morphology was investigated by high resolution scanning electron microscope (SEM). Photoluminescence characterization including excitation and emission spectra and lifetime analysis has been done using tunable laser optical parametric oscillator excitation and streak camera. Several strong emission bands in Sm3+ emission spectrum were observed, located at 563 nm (4 G5/2 – 6 H5/2), 600 nm (4 G5/2 – 6 H7/2,), and 644 (653) nm (4 G5/2 – 6 H9/2,), respectively. The weak emission at 700-710 nm (4 G5/2 – 6 H11/2) was also observed by detection system.
PB  - Belgrade : Serbian Ceramic Society
C3  - Advanced Ceramics and Application : 5th Serbian Ceramic Society Conference : program and the book of abstracts; September 21-23, 2016; Belgrade
T1  - Annealed nanopowder GdVO4 :Sm3+ prepared by solution combustion synthesis
SP  - 67
EP  - 68
UR  - https://hdl.handle.net/21.15107/rcub_vinar_10889
ER  - 

@conference{
author = "Rabasović, Maja and Šević, Dragutin and Križan, Janez and Rabasović, M. D. and Savić-Šević, S. and Mitrić, Miodrag and Petrović, M. and Gilić, M. and Romčević, Nebojša Ž.",
year = "2017",
abstract = "The gadolinium vanadate doped with samarium (GdVO4 :Sm3+) nanopowder was prepared by the solution combustion synthesis (SCS) method. After synthesis, in order to achieve the full crystallinity, the material was annealed in air atmosphere at 1300 °C. Phase identification in the post-annealed powder samples were performed by X-ray diffraction, and morphology was investigated by high resolution scanning electron microscope (SEM). Photoluminescence characterization including excitation and emission spectra and lifetime analysis has been done using tunable laser optical parametric oscillator excitation and streak camera. Several strong emission bands in Sm3+ emission spectrum were observed, located at 563 nm (4 G5/2 – 6 H5/2), 600 nm (4 G5/2 – 6 H7/2,), and 644 (653) nm (4 G5/2 – 6 H9/2,), respectively. The weak emission at 700-710 nm (4 G5/2 – 6 H11/2) was also observed by detection system.",
publisher = "Belgrade : Serbian Ceramic Society",
journal = "Advanced Ceramics and Application : 5th Serbian Ceramic Society Conference : program and the book of abstracts; September 21-23, 2016; Belgrade",
title = "Annealed nanopowder GdVO4 :Sm3+ prepared by solution combustion synthesis",
pages = "67-68",
url = "https://hdl.handle.net/21.15107/rcub_vinar_10889"
}

Rabasović, M., Šević, D., Križan, J., Rabasović, M. D., Savić-Šević, S., Mitrić, M., Petrović, M., Gilić, M.,& Romčević, N. Ž.. (2017). Annealed nanopowder GdVO4 :Sm3+ prepared by solution combustion synthesis. in Advanced Ceramics and Application : 5th Serbian Ceramic Society Conference : program and the book of abstracts; September 21-23, 2016; Belgrade
Belgrade : Serbian Ceramic Society., 67-68.
https://hdl.handle.net/21.15107/rcub_vinar_10889

Rabasović M, Šević D, Križan J, Rabasović MD, Savić-Šević S, Mitrić M, Petrović M, Gilić M, Romčević NŽ. Annealed nanopowder GdVO4 :Sm3+ prepared by solution combustion synthesis. in Advanced Ceramics and Application : 5th Serbian Ceramic Society Conference : program and the book of abstracts; September 21-23, 2016; Belgrade. 2017;:67-68.
https://hdl.handle.net/21.15107/rcub_vinar_10889 .

Rabasović, Maja, Šević, Dragutin, Križan, Janez, Rabasović, M. D., Savić-Šević, S., Mitrić, Miodrag, Petrović, M., Gilić, M., Romčević, Nebojša Ž., "Annealed nanopowder GdVO4 :Sm3+ prepared by solution combustion synthesis" in Advanced Ceramics and Application : 5th Serbian Ceramic Society Conference : program and the book of abstracts; September 21-23, 2016; Belgrade (2017):67-68,
https://hdl.handle.net/21.15107/rcub_vinar_10889 .