TY  - JOUR
AU  - Janković, Radmila
AU  - Mihajlović, Ivan
AU  - Štrbac, Nada
AU  - Amelio, Alessia
PY  - 2021
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4996
AB  - The ecological footprint is an excellent tool to better understand the consequences of the human behavior on the environment. The growing need for natural resources emphasizes the necessity of their accurate observation, calculation, and prediction. This paper develops and compares four hybrid machine learning models for predicting the total ecological footprint of consumption based on a set of hyper-parameters predefined by the Bayesian optimization algorithm. In particular, K-nearest neighbor regression (KNNReg), random forest regression (RFR) with 93 trees, and two artificial neural networks (ANNs) with two hidden layers were developed and later compared in terms of their performance. As energy inputs, the primary energy consumption from (1) natural gas sources, (2) coal sources, (3) oil sources, (4) wind sources, (5) solar photovoltaic sources, (6) hydropower sources, (7) nuclear sources, and (8) other renewable sources was used. Additionally, population number has also been used as an input. The models were developed using a set of data that include 1804 instances. The ANNs were modeled using two different activation functions in the hidden layers: ReLU and SPOCU. The performance was evaluated using the mean absolute percentage error (MAPE), mean absolute scaled error (MASE), normalized root-mean-squared error (NRMSE), and symmetric mean absolute percentage error (SMAPE). The results show that KNNReg performs the best with MASE of 0.029, followed by the RFR (0.032), ReLU ANN (0.064), and SPOCU ANN (0.089). Moreover, SMOGN was utilized to produce a synthetic test set which was used to additionally test the best performed model. The performance on the SMOGN set demonstrates good performance (MASE=0.022). Lastly, the best performed model was implemented into a GUI that calculates the ecological footprint based on user inputs.
PB  - Springer-Verlag London Ltd., part of Springer Nature
T2  - NEURAL COMPUTING & APPLICATIONS
T1  - Machine learning models for ecological footprint prediction based on energy parameters
EP  - 7087
IS  - 12
SP  - 7073
VL  - 33
DO  - 10.1007/s00521-020-05476-4
ER  - 

@article{
author = "Janković, Radmila and Mihajlović, Ivan and Štrbac, Nada and Amelio, Alessia",
year = "2021",
abstract = "The ecological footprint is an excellent tool to better understand the consequences of the human behavior on the environment. The growing need for natural resources emphasizes the necessity of their accurate observation, calculation, and prediction. This paper develops and compares four hybrid machine learning models for predicting the total ecological footprint of consumption based on a set of hyper-parameters predefined by the Bayesian optimization algorithm. In particular, K-nearest neighbor regression (KNNReg), random forest regression (RFR) with 93 trees, and two artificial neural networks (ANNs) with two hidden layers were developed and later compared in terms of their performance. As energy inputs, the primary energy consumption from (1) natural gas sources, (2) coal sources, (3) oil sources, (4) wind sources, (5) solar photovoltaic sources, (6) hydropower sources, (7) nuclear sources, and (8) other renewable sources was used. Additionally, population number has also been used as an input. The models were developed using a set of data that include 1804 instances. The ANNs were modeled using two different activation functions in the hidden layers: ReLU and SPOCU. The performance was evaluated using the mean absolute percentage error (MAPE), mean absolute scaled error (MASE), normalized root-mean-squared error (NRMSE), and symmetric mean absolute percentage error (SMAPE). The results show that KNNReg performs the best with MASE of 0.029, followed by the RFR (0.032), ReLU ANN (0.064), and SPOCU ANN (0.089). Moreover, SMOGN was utilized to produce a synthetic test set which was used to additionally test the best performed model. The performance on the SMOGN set demonstrates good performance (MASE=0.022). Lastly, the best performed model was implemented into a GUI that calculates the ecological footprint based on user inputs.",
publisher = "Springer-Verlag London Ltd., part of Springer Nature",
journal = "NEURAL COMPUTING & APPLICATIONS",
title = "Machine learning models for ecological footprint prediction based on energy parameters",
pages = "7087-7073",
number = "12",
volume = "33",
doi = "10.1007/s00521-020-05476-4"
}

Janković, R., Mihajlović, I., Štrbac, N.,& Amelio, A.. (2021). Machine learning models for ecological footprint prediction based on energy parameters. in NEURAL COMPUTING & APPLICATIONS
Springer-Verlag London Ltd., part of Springer Nature., 33(12), 7073-7087.
https://doi.org/10.1007/s00521-020-05476-4

Janković R, Mihajlović I, Štrbac N, Amelio A. Machine learning models for ecological footprint prediction based on energy parameters. in NEURAL COMPUTING & APPLICATIONS. 2021;33(12):7073-7087.
doi:10.1007/s00521-020-05476-4 .

Janković, Radmila, Mihajlović, Ivan, Štrbac, Nada, Amelio, Alessia, "Machine learning models for ecological footprint prediction based on energy parameters" in NEURAL COMPUTING & APPLICATIONS, 33, no. 12 (2021):7073-7087,
https://doi.org/10.1007/s00521-020-05476-4 . .

TY  - CONF
AU  - Mihajlović, Ivan
AU  - Milošević, Isidora
AU  - Štrbac, Nada
PY  - 2019
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/5593
AB  - Besides technological and economic aspects, environmental segments are gaining equal importance in planning, realization and control of contemporary project ventures. This manuscript is presenting the frame and the scope of the project for the ecological footprint assessment. The realization of some phases of this project has already begun, while most of the remaining phases are still at the preparation stage.
PB  - Atlantis Press
C3  - Proceedings of the 5th IPMA SENET Project Management Conference (SENET 2019)
T1  - Developing the objective and the scope of the ecological footprint assessment project
DO  - 10.2991/senet-19.2019.6
ER  - 

@conference{
author = "Mihajlović, Ivan and Milošević, Isidora and Štrbac, Nada",
year = "2019",
abstract = "Besides technological and economic aspects, environmental segments are gaining equal importance in planning, realization and control of contemporary project ventures. This manuscript is presenting the frame and the scope of the project for the ecological footprint assessment. The realization of some phases of this project has already begun, while most of the remaining phases are still at the preparation stage.",
publisher = "Atlantis Press",
journal = "Proceedings of the 5th IPMA SENET Project Management Conference (SENET 2019)",
title = "Developing the objective and the scope of the ecological footprint assessment project",
doi = "10.2991/senet-19.2019.6"
}

Mihajlović, I., Milošević, I.,& Štrbac, N.. (2019). Developing the objective and the scope of the ecological footprint assessment project. in Proceedings of the 5th IPMA SENET Project Management Conference (SENET 2019)
Atlantis Press..
https://doi.org/10.2991/senet-19.2019.6

Mihajlović I, Milošević I, Štrbac N. Developing the objective and the scope of the ecological footprint assessment project. in Proceedings of the 5th IPMA SENET Project Management Conference (SENET 2019). 2019;.
doi:10.2991/senet-19.2019.6 .

Mihajlović, Ivan, Milošević, Isidora, Štrbac, Nada, "Developing the objective and the scope of the ecological footprint assessment project" in Proceedings of the 5th IPMA SENET Project Management Conference (SENET 2019) (2019),
https://doi.org/10.2991/senet-19.2019.6 . .

TY  - JOUR
AU  - Mitovski, Aleksandra
AU  - Mihajlović, Ivan
AU  - Štrbac, Nada
AU  - Sokić, Miroslav
AU  - Živković, Dragana
AU  - Živković, Živan
PY  - 2015
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/5440
AB  - Selective arsenic extraction from enargite based complex concentrate from Copper Mine in Bor (Serbia), using sodium hypochlorite as a leaching agent, was investigated in this paper. The aim was to assess the optimal conditions for the most efficient arsenic removal from the investigated concentrate, based on factorial design applied to experimentally obtained data. Five important factors with three factor levels were used as the input variables and experimentally obtained arsenic extraction yield was taken as the output variable. The first and the second final order model equations were obtained. It was found that the leaching temperature had the strongest effect on the arsenic extraction. The strongest positive interaction was between the sodium hypochlorite molar concentration and the stirring speed during extraction.
PB  - Association of the Chemical Engineers of Serbia - AChE
T2  - HEMIJSKA INDUSTRIJA
T1  - Optimization of the arsenic removal process from enargite based complex copper concentrate
EP  - 296
IS  - 3
SP  - 287
VL  - 69
DO  - 10.2298/HEMIND140203042M
ER  - 

@article{
author = "Mitovski, Aleksandra and Mihajlović, Ivan and Štrbac, Nada and Sokić, Miroslav and Živković, Dragana and Živković, Živan",
year = "2015",
abstract = "Selective arsenic extraction from enargite based complex concentrate from Copper Mine in Bor (Serbia), using sodium hypochlorite as a leaching agent, was investigated in this paper. The aim was to assess the optimal conditions for the most efficient arsenic removal from the investigated concentrate, based on factorial design applied to experimentally obtained data. Five important factors with three factor levels were used as the input variables and experimentally obtained arsenic extraction yield was taken as the output variable. The first and the second final order model equations were obtained. It was found that the leaching temperature had the strongest effect on the arsenic extraction. The strongest positive interaction was between the sodium hypochlorite molar concentration and the stirring speed during extraction.",
publisher = "Association of the Chemical Engineers of Serbia - AChE",
journal = "HEMIJSKA INDUSTRIJA",
title = "Optimization of the arsenic removal process from enargite based complex copper concentrate",
pages = "296-287",
number = "3",
volume = "69",
doi = "10.2298/HEMIND140203042M"
}

Mitovski, A., Mihajlović, I., Štrbac, N., Sokić, M., Živković, D.,& Živković, Ž.. (2015). Optimization of the arsenic removal process from enargite based complex copper concentrate. in HEMIJSKA INDUSTRIJA
Association of the Chemical Engineers of Serbia - AChE., 69(3), 287-296.
https://doi.org/10.2298/HEMIND140203042M

Mitovski A, Mihajlović I, Štrbac N, Sokić M, Živković D, Živković Ž. Optimization of the arsenic removal process from enargite based complex copper concentrate. in HEMIJSKA INDUSTRIJA. 2015;69(3):287-296.
doi:10.2298/HEMIND140203042M .

Mitovski, Aleksandra, Mihajlović, Ivan, Štrbac, Nada, Sokić, Miroslav, Živković, Dragana, Živković, Živan, "Optimization of the arsenic removal process from enargite based complex copper concentrate" in HEMIJSKA INDUSTRIJA, 69, no. 3 (2015):287-296,
https://doi.org/10.2298/HEMIND140203042M . .

TY  - JOUR
AU  - Mitovski, Aleksandra
AU  - Štrbac, Nada
AU  - Mihajlović, Ivan
AU  - Sokić, Miroslav
AU  - Stojanović, Jovica
PY  - 2014
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/5004
AB  - This paper presents the experimental investigation results of the polymetallic copper concentrate oxidation process with the oxygen from the air. Concentrate characterization included chemical analysis, X-ray diffraction (XRD), energy dispersive X-ray fluorescence (EDXRF), and light microscopy. Chemical analysis and EDXRF results showed that the investigated copper concentrate consisted mainly of copper, iron and sulphur, with small amounts of zinc, lead, arsenic and other minor elements. XRD analysis showed that metals were bonded to sulphur in sulphide minerals: chalcopyrite, pyrite, luzonite, sphalerite and enargite. Those minerals were mutually bonded into aggregates, confirmed by light microscopy. The results of DTA/TG analysis were used for determining the mechanism of the oxidation process. Comparison between experimental data obtained by XRD, DTA/TG and data obtained from the phase stability diagrams, implied that the oxidation process of the investigated concentrate can be divided in two stages: the first stage consisted of sulphide oxidation reactions with the characteristic exothermal effects below 973 K while forming sulphates and oxysulphates, and the second stage, which consisted of sulphates and oxysulphates decomposition reactions and forming copper and iron oxides, with endothermal effects above 973 K. Kinetic studies were carried out in isothermal conditions in the temperature range (573–873) K. Calculations were done according to Sharp’s method of reduced half-time reaction. Calculated values for the activation energies were 82 kJ mol−1 for the initial stage of the oxidation process (up to 723 K), and 42 kJ mol−1 for the stage of the process where desulphurization degree reached 68–86 % for the oxidation temperatures 748 K and higher. Calculated activation energy values indicated that the reaction of oxidation is a chemically controlled reaction.
PB  - Springer
T2  - JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
T1  - Thermodynamic and kinetic analysis of the polymetallic copper concentrate oxidation process
EP  - 1285
IS  - 2
SP  - 1277
VL  - 118
DO  - 10.1007/s10973-014-3838-8
ER  - 

@article{
author = "Mitovski, Aleksandra and Štrbac, Nada and Mihajlović, Ivan and Sokić, Miroslav and Stojanović, Jovica",
year = "2014",
abstract = "This paper presents the experimental investigation results of the polymetallic copper concentrate oxidation process with the oxygen from the air. Concentrate characterization included chemical analysis, X-ray diffraction (XRD), energy dispersive X-ray fluorescence (EDXRF), and light microscopy. Chemical analysis and EDXRF results showed that the investigated copper concentrate consisted mainly of copper, iron and sulphur, with small amounts of zinc, lead, arsenic and other minor elements. XRD analysis showed that metals were bonded to sulphur in sulphide minerals: chalcopyrite, pyrite, luzonite, sphalerite and enargite. Those minerals were mutually bonded into aggregates, confirmed by light microscopy. The results of DTA/TG analysis were used for determining the mechanism of the oxidation process. Comparison between experimental data obtained by XRD, DTA/TG and data obtained from the phase stability diagrams, implied that the oxidation process of the investigated concentrate can be divided in two stages: the first stage consisted of sulphide oxidation reactions with the characteristic exothermal effects below 973 K while forming sulphates and oxysulphates, and the second stage, which consisted of sulphates and oxysulphates decomposition reactions and forming copper and iron oxides, with endothermal effects above 973 K. Kinetic studies were carried out in isothermal conditions in the temperature range (573–873) K. Calculations were done according to Sharp’s method of reduced half-time reaction. Calculated values for the activation energies were 82 kJ mol−1 for the initial stage of the oxidation process (up to 723 K), and 42 kJ mol−1 for the stage of the process where desulphurization degree reached 68–86 % for the oxidation temperatures 748 K and higher. Calculated activation energy values indicated that the reaction of oxidation is a chemically controlled reaction.",
publisher = "Springer",
journal = "JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY",
title = "Thermodynamic and kinetic analysis of the polymetallic copper concentrate oxidation process",
pages = "1285-1277",
number = "2",
volume = "118",
doi = "10.1007/s10973-014-3838-8"
}

Mitovski, A., Štrbac, N., Mihajlović, I., Sokić, M.,& Stojanović, J.. (2014). Thermodynamic and kinetic analysis of the polymetallic copper concentrate oxidation process. in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
Springer., 118(2), 1277-1285.
https://doi.org/10.1007/s10973-014-3838-8

Mitovski A, Štrbac N, Mihajlović I, Sokić M, Stojanović J. Thermodynamic and kinetic analysis of the polymetallic copper concentrate oxidation process. in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY. 2014;118(2):1277-1285.
doi:10.1007/s10973-014-3838-8 .

Mitovski, Aleksandra, Štrbac, Nada, Mihajlović, Ivan, Sokić, Miroslav, Stojanović, Jovica, "Thermodynamic and kinetic analysis of the polymetallic copper concentrate oxidation process" in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY, 118, no. 2 (2014):1277-1285,
https://doi.org/10.1007/s10973-014-3838-8 . .

TY  - JOUR
AU  - Milijić, Nenad
AU  - Mihajlović, Ivan
AU  - Štrbac, Nada
AU  - Živković, Živan
PY  - 2013
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/5447
AB  - This study was conducted because a real method for measuring safety climate had never been developed and assessed in Serbian industry. The aim of this paper was to start the process of developing a safety climate questionnaire that could be used in Serbia. As a starting point a 21-item questionnaire was adopted after an extensive literature review. The questionnaire was distributed at several Serbian factories; 1098 workers responded. After a statistical analysis of the data obtained with the questionnaire and a critical comparison with the available reference results, a final questionnaire with 21 questions, divided into 7 groups, was developed. The 7 groups of questions (factors) were safety awareness and competence, safety communication, organizational environment, management support, risk judgment and management reaction, safety precautions and accident prevention, and safety training.
PB  - Taylor & Francis Ltd
T2  - INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS
T1  - Developing a Questionnaire for Measuring Safety Climate in the Workplace in Serbia
EP  - 645
IS  - 4
SP  - 631
VL  - 19
DO  - 10.1080/10803548.2013.11077020
ER  - 

@article{
author = "Milijić, Nenad and Mihajlović, Ivan and Štrbac, Nada and Živković, Živan",
year = "2013",
abstract = "This study was conducted because a real method for measuring safety climate had never been developed and assessed in Serbian industry. The aim of this paper was to start the process of developing a safety climate questionnaire that could be used in Serbia. As a starting point a 21-item questionnaire was adopted after an extensive literature review. The questionnaire was distributed at several Serbian factories; 1098 workers responded. After a statistical analysis of the data obtained with the questionnaire and a critical comparison with the available reference results, a final questionnaire with 21 questions, divided into 7 groups, was developed. The 7 groups of questions (factors) were safety awareness and competence, safety communication, organizational environment, management support, risk judgment and management reaction, safety precautions and accident prevention, and safety training.",
publisher = "Taylor & Francis Ltd",
journal = "INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS",
title = "Developing a Questionnaire for Measuring Safety Climate in the Workplace in Serbia",
pages = "645-631",
number = "4",
volume = "19",
doi = "10.1080/10803548.2013.11077020"
}

Milijić, N., Mihajlović, I., Štrbac, N.,& Živković, Ž.. (2013). Developing a Questionnaire for Measuring Safety Climate in the Workplace in Serbia. in INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS
Taylor & Francis Ltd., 19(4), 631-645.
https://doi.org/10.1080/10803548.2013.11077020

Milijić N, Mihajlović I, Štrbac N, Živković Ž. Developing a Questionnaire for Measuring Safety Climate in the Workplace in Serbia. in INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS. 2013;19(4):631-645.
doi:10.1080/10803548.2013.11077020 .

Milijić, Nenad, Mihajlović, Ivan, Štrbac, Nada, Živković, Živan, "Developing a Questionnaire for Measuring Safety Climate in the Workplace in Serbia" in INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS, 19, no. 4 (2013):631-645,
https://doi.org/10.1080/10803548.2013.11077020 . .

TY  - GEN
AU  - Štrbac, Nada
AU  - Mihajlović, Ivan
AU  - Mitovski, Aleksandra
AU  - Sokić, Miroslav
AU  - Živković, Dragana
AU  - Marković, Branislav
PY  - 2013
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4859
PB  - University of Belgrade - Technical Faculty in Bor
T1  - Развој технологије за прераду флотацијске јаловине применом комбинованог пирометалуршког и хидрометалуршког поступка у циљу добијања бакра и заштите животне средине
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4859
ER  - 

@misc{
author = "Štrbac, Nada and Mihajlović, Ivan and Mitovski, Aleksandra and Sokić, Miroslav and Živković, Dragana and Marković, Branislav",
year = "2013",
publisher = "University of Belgrade - Technical Faculty in Bor",
title = "Развој технологије за прераду флотацијске јаловине применом комбинованог пирометалуршког и хидрометалуршког поступка у циљу добијања бакра и заштите животне средине",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4859"
}

Štrbac, N., Mihajlović, I., Mitovski, A., Sokić, M., Živković, D.,& Marković, B.. (2013). Развој технологије за прераду флотацијске јаловине применом комбинованог пирометалуршког и хидрометалуршког поступка у циљу добијања бакра и заштите животне средине. 
University of Belgrade - Technical Faculty in Bor..
https://hdl.handle.net/21.15107/rcub_machinery_4859

Štrbac N, Mihajlović I, Mitovski A, Sokić M, Živković D, Marković B. Развој технологије за прераду флотацијске јаловине применом комбинованог пирометалуршког и хидрометалуршког поступка у циљу добијања бакра и заштите животне средине. 2013;.
https://hdl.handle.net/21.15107/rcub_machinery_4859 .

Štrbac, Nada, Mihajlović, Ivan, Mitovski, Aleksandra, Sokić, Miroslav, Živković, Dragana, Marković, Branislav, "Развој технологије за прераду флотацијске јаловине применом комбинованог пирометалуршког и хидрометалуршког поступка у циљу добијања бакра и заштите животне средине" (2013),
https://hdl.handle.net/21.15107/rcub_machinery_4859 .