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Pejić, Dragan

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  • Pejić, Dragan (7)
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Author's Bibliography

Stochastic two-bit on-line temperature measurement with RTD Pt-100 sensor operating in a nonlinear mode

Sovilj, Platon; Vujičić, Bojan; Pejić, Dragan; Radonjić, Aleksandar; Vujičić, Vladimir

(International Measurement Confederation, 2020)

TY  - CONF
AU  - Sovilj, Platon
AU  - Vujičić, Bojan
AU  - Pejić, Dragan
AU  - Radonjić, Aleksandar
AU  - Vujičić, Vladimir
PY  - 2020
UR  - https://weconf.eu/imeko-tc4-2020/presentation/stochastic-two-bit-on-line-temperature-measurement-with-rtd-pt-100-sensor-operating-in-a-nonlinear-mode
UR  - https://dais.sanu.ac.rs/123456789/9996
AB  - The paper proposes a method and device for on-line temperature measurement with Pt-100 sensor operating in a nonlinear mode. The sensor measures the temperature in range of 00C to 2000C, whereas the measured data are processed by applying a two-bit stochastic digital measurement method. The proposal is theoretically analyzed and tested experimentally. It is shown that the accuracy of the method depends on the accuracy of the sensor. At a sampling frequency of 1 MHz, the maximum accuracy is reached in 17.5 sec. and is equal to 0.015% of full scale (FS). On the other hand, when the measurement time interval is 0.1 sec. (the shortest measurement interval), the accuracy is equal to 0.1% of FS. Therefore, the proposed device can be used for both calibration and measurement purposes.
PB  - International Measurement Confederation
C3  - 24th IMEKO TC4 International Symposium, 22nd International Workshop on ADC and DAC Modelling and Testing : IMEKO TC-4 2020, Palermo, Italy, September 14-16, 2020
T1  - Stochastic two-bit on-line temperature measurement with RTD Pt-100 sensor operating in a nonlinear mode
ER  - 
@conference{
author = "Sovilj, Platon and Vujičić, Bojan and Pejić, Dragan and Radonjić, Aleksandar and Vujičić, Vladimir",
year = "2020",
url = "https://weconf.eu/imeko-tc4-2020/presentation/stochastic-two-bit-on-line-temperature-measurement-with-rtd-pt-100-sensor-operating-in-a-nonlinear-mode, https://dais.sanu.ac.rs/123456789/9996",
abstract = "The paper proposes a method and device for on-line temperature measurement with Pt-100 sensor operating in a nonlinear mode. The sensor measures the temperature in range of 00C to 2000C, whereas the measured data are processed by applying a two-bit stochastic digital measurement method. The proposal is theoretically analyzed and tested experimentally. It is shown that the accuracy of the method depends on the accuracy of the sensor. At a sampling frequency of 1 MHz, the maximum accuracy is reached in 17.5 sec. and is equal to 0.015% of full scale (FS). On the other hand, when the measurement time interval is 0.1 sec. (the shortest measurement interval), the accuracy is equal to 0.1% of FS. Therefore, the proposed device can be used for both calibration and measurement purposes.",
publisher = "International Measurement Confederation",
journal = "24th IMEKO TC4 International Symposium, 22nd International Workshop on ADC and DAC Modelling and Testing : IMEKO TC-4 2020, Palermo, Italy, September 14-16, 2020",
title = "Stochastic two-bit on-line temperature measurement with RTD Pt-100 sensor operating in a nonlinear mode"
}
Sovilj, P., Vujičić, B., Pejić, D., Radonjić, A.,& Vujičić, V. (2020). Stochastic two-bit on-line temperature measurement with RTD Pt-100 sensor operating in a nonlinear mode.
24th IMEKO TC4 International Symposium, 22nd International Workshop on ADC and DAC Modelling and Testing : IMEKO TC-4 2020, Palermo, Italy, September 14-16, 2020International Measurement Confederation., null. 
Sovilj P, Vujičić B, Pejić D, Radonjić A, Vujičić V. Stochastic two-bit on-line temperature measurement with RTD Pt-100 sensor operating in a nonlinear mode. 24th IMEKO TC4 International Symposium, 22nd International Workshop on ADC and DAC Modelling and Testing : IMEKO TC-4 2020, Palermo, Italy, September 14-16, 2020. 2020;

Stochastic measurement of wind power using a two-bit A/D converter

Vujičić, Vladimir; Ličina, Boris; Pejić, Dragan; Sovilj, Platon; Radonjić, Aleksandar

(Elsevier, 2020)

TY  - JOUR
AU  - Vujičić, Vladimir
AU  - Ličina, Boris
AU  - Pejić, Dragan
AU  - Sovilj, Platon
AU  - Radonjić, Aleksandar
PY  - 2020
UR  - http://www.sciencedirect.com/science/article/pii/S0263224119310504
UR  - http://dais.sanu.ac.rs/123456789/6913
AB  - This paper presents a new method for stochastic measurement of wind power and energy. Compared to the existing approaches, this method has two advantages: first, it is much simpler and cheaper to implement, and second, it can be easily integrated with cup anemometers. In this way, it is possible to construct a low-cost mobile device capable of measuring wind power and energy. In order to prove the validity of our method, we have conducted several laboratory experiments. The obtained results have shown that, over the time interval of 100 s, wind power and energy can be measured with an accuracy of 0.09%.
PB  - Elsevier
T2  - Measurement
T1  - Stochastic measurement of wind power using a two-bit A/D converter
SP  - 107184
DO  - 10.1016/j.measurement.2019.107184
ER  - 
@article{
author = "Vujičić, Vladimir and Ličina, Boris and Pejić, Dragan and Sovilj, Platon and Radonjić, Aleksandar",
year = "2020",
url = "http://www.sciencedirect.com/science/article/pii/S0263224119310504, http://dais.sanu.ac.rs/123456789/6913",
abstract = "This paper presents a new method for stochastic measurement of wind power and energy. Compared to the existing approaches, this method has two advantages: first, it is much simpler and cheaper to implement, and second, it can be easily integrated with cup anemometers. In this way, it is possible to construct a low-cost mobile device capable of measuring wind power and energy. In order to prove the validity of our method, we have conducted several laboratory experiments. The obtained results have shown that, over the time interval of 100 s, wind power and energy can be measured with an accuracy of 0.09%.",
publisher = "Elsevier",
journal = "Measurement",
title = "Stochastic measurement of wind power using a two-bit A/D converter",
pages = "107184",
doi = "10.1016/j.measurement.2019.107184"
}
Vujičić, V., Ličina, B., Pejić, D., Sovilj, P.,& Radonjić, A. (2020). Stochastic measurement of wind power using a two-bit A/D converter.
MeasurementElsevier., null, 107184. 
https://doi.org/10.1016/j.measurement.2019.107184
Vujičić V, Ličina B, Pejić D, Sovilj P, Radonjić A. Stochastic measurement of wind power using a two-bit A/D converter. Measurement. 2020;:107184
1
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Stochastic measurement of wind power using a two-bit A/D converter

Vujičić, Vladimir; Ličina, Boris; Pejić, Dragan; Sovilj, Platon; Radonjić, Aleksandar

(Elsevier, 2020)

TY  - JOUR
AU  - Vujičić, Vladimir
AU  - Ličina, Boris
AU  - Pejić, Dragan
AU  - Sovilj, Platon
AU  - Radonjić, Aleksandar
PY  - 2020
UR  - http://www.sciencedirect.com/science/article/pii/S0263224119310504
UR  - http://dais.sanu.ac.rs/123456789/8946
AB  - This paper presents a new method for stochastic measurement of wind power and energy. Compared to the existing approaches, this method has two advantages: first, it is much simpler and cheaper to implement, and second, it can be easily integrated with cup anemometers. In this way, it is possible to construct a low-cost mobile device capable of measuring wind power and energy. In order to prove the validity of our method, we have conducted several laboratory experiments. The obtained results have shown that, over the time interval of 100 s, wind power and energy can be measured with an accuracy of 0.09%.
PB  - Elsevier
T2  - Measurement
T1  - Stochastic measurement of wind power using a two-bit A/D converter
SP  - 107184
DO  - 10.1016/j.measurement.2019.107184
ER  - 
@article{
author = "Vujičić, Vladimir and Ličina, Boris and Pejić, Dragan and Sovilj, Platon and Radonjić, Aleksandar",
year = "2020",
url = "http://www.sciencedirect.com/science/article/pii/S0263224119310504, http://dais.sanu.ac.rs/123456789/8946",
abstract = "This paper presents a new method for stochastic measurement of wind power and energy. Compared to the existing approaches, this method has two advantages: first, it is much simpler and cheaper to implement, and second, it can be easily integrated with cup anemometers. In this way, it is possible to construct a low-cost mobile device capable of measuring wind power and energy. In order to prove the validity of our method, we have conducted several laboratory experiments. The obtained results have shown that, over the time interval of 100 s, wind power and energy can be measured with an accuracy of 0.09%.",
publisher = "Elsevier",
journal = "Measurement",
title = "Stochastic measurement of wind power using a two-bit A/D converter",
pages = "107184",
doi = "10.1016/j.measurement.2019.107184"
}
Vujičić, V., Ličina, B., Pejić, D., Sovilj, P.,& Radonjić, A. (2020). Stochastic measurement of wind power using a two-bit A/D converter.
MeasurementElsevier., null, 107184. 
https://doi.org/10.1016/j.measurement.2019.107184
Vujičić V, Ličina B, Pejić D, Sovilj P, Radonjić A. Stochastic measurement of wind power using a two-bit A/D converter. Measurement. 2020;:107184
1
1
3

Stochastic embedded systems

Vujičić, Vladimir; Radonjić, Aleksandar; Pejić, Dragan

(ETRAN, 2018)

TY  - CONF
AU  - Vujičić, Vladimir
AU  - Radonjić, Aleksandar
AU  - Pejić, Dragan
PY  - 2018
UR  - https://www.etran.rs/2018/IcETRAN/News/IcETRAN%20sumarni%20program%20sekcija_Ver.%204.3%20(1).pdf
UR  - http://dais.sanu.ac.rs/123456789/4634
AB  - Computing, analog-to-digital conversion and digital-to-analog conversion are the three most important functions in embedded systems. The last two may include stochasticity regardless of whether the computing is stochastic or not. The purpose of this paper is to specify and clarify the role of stochasticity in embedded systems.
PB  - ETRAN
C3  - IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program
T1  - Stochastic embedded systems
ER  - 
@conference{
author = "Vujičić, Vladimir and Radonjić, Aleksandar and Pejić, Dragan",
year = "2018",
url = "https://www.etran.rs/2018/IcETRAN/News/IcETRAN%20sumarni%20program%20sekcija_Ver.%204.3%20(1).pdf, http://dais.sanu.ac.rs/123456789/4634",
abstract = "Computing, analog-to-digital conversion and digital-to-analog conversion are the three most important functions in embedded systems. The last two may include stochasticity regardless of whether the computing is stochastic or not. The purpose of this paper is to specify and clarify the role of stochasticity in embedded systems.",
publisher = "ETRAN",
journal = "IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program",
title = "Stochastic embedded systems"
}
Vujičić, V., Radonjić, A.,& Pejić, D. (2018). Stochastic embedded systems.
IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: ProgramETRAN., null. 
Vujičić V, Radonjić A, Pejić D. Stochastic embedded systems. IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program. 2018;

Stochastic digital DFT processor and its application to measurement of reactive power and energy

Pejić, Dragan; Naumović Vuković, Dragana; Vujičić, Bojan; Radonjić, Aleksandar; Sovilj, Platon; Vujičić, Vladimir

(Elsevier, 2018)

TY  - JOUR
AU  - Pejić, Dragan
AU  - Naumović Vuković, Dragana
AU  - Vujičić, Bojan
AU  - Radonjić, Aleksandar
AU  - Sovilj, Platon
AU  - Vujičić, Vladimir
PY  - 2018
UR  - http://dais.sanu.ac.rs/123456789/3698
AB  - In this paper we present the model of digital stochastic DFT processor. Compared to the classical DFT/FFT processors, the proposed model has two advantages: first, it is much simpler and cheaper to implement, and second, it allows us to compute individual DFT components either in isolation or in parallel. In order to prove the validity of our model, we have simulated the measurement of reactive power and energy. In addition, we have conducted several experiments under field and laboratory conditions. The obtained results have shown that reactive power and energy can be measured with an accuracy of several ppm. © 2018 Elsevier Ltd
PB  - Elsevier
T2  - Measurement: Journal of the International Measurement Confederation
T1  - Stochastic digital DFT processor and its application to measurement of reactive power and energy
SP  - 494
EP  - 504
VL  - 124
DO  - 10.1016/j.measurement.2018.04.004
ER  - 
@article{
author = "Pejić, Dragan and Naumović Vuković, Dragana and Vujičić, Bojan and Radonjić, Aleksandar and Sovilj, Platon and Vujičić, Vladimir",
year = "2018",
url = "http://dais.sanu.ac.rs/123456789/3698",
abstract = "In this paper we present the model of digital stochastic DFT processor. Compared to the classical DFT/FFT processors, the proposed model has two advantages: first, it is much simpler and cheaper to implement, and second, it allows us to compute individual DFT components either in isolation or in parallel. In order to prove the validity of our model, we have simulated the measurement of reactive power and energy. In addition, we have conducted several experiments under field and laboratory conditions. The obtained results have shown that reactive power and energy can be measured with an accuracy of several ppm. © 2018 Elsevier Ltd",
publisher = "Elsevier",
journal = "Measurement: Journal of the International Measurement Confederation",
title = "Stochastic digital DFT processor and its application to measurement of reactive power and energy",
pages = "494-504",
volume = "124",
doi = "10.1016/j.measurement.2018.04.004"
}
Pejić, D., Naumović Vuković, D., Vujičić, B., Radonjić, A., Sovilj, P.,& Vujičić, V. (2018). Stochastic digital DFT processor and its application to measurement of reactive power and energy.
Measurement: Journal of the International Measurement ConfederationElsevier., 124, 494-504. 
https://doi.org/10.1016/j.measurement.2018.04.004
Pejić D, Naumović Vuković D, Vujičić B, Radonjić A, Sovilj P, Vujičić V. Stochastic digital DFT processor and its application to measurement of reactive power and energy. Measurement: Journal of the International Measurement Confederation. 2018;124:494-504
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Stochastic digital DFT processor and its application to measurement of reactive power and energy

Pejić, Dragan; Naumović Vuković, Dragana; Vujičić, Bojan; Radonjić, Aleksandar; Sovilj, Platon; Vujičić, Vladimir

(Elsevier, 2018)

TY  - JOUR
AU  - Pejić, Dragan
AU  - Naumović Vuković, Dragana
AU  - Vujičić, Bojan
AU  - Radonjić, Aleksandar
AU  - Sovilj, Platon
AU  - Vujičić, Vladimir
PY  - 2018
UR  - http://dais.sanu.ac.rs/123456789/3698
UR  - http://dais.sanu.ac.rs/123456789/4607
AB  - In this paper we present the model of digital stochastic DFT processor. Compared to the classical DFT/FFT processors, the proposed model has two advantages: first, it is much simpler and cheaper to implement, and second, it allows us to compute individual DFT components either in isolation or in parallel. In order to prove the validity of our model, we have simulated the measurement of reactive power and energy. In addition, we have conducted several experiments under field and laboratory conditions. The obtained results have shown that reactive power and energy can be measured with an accuracy of several ppm. © 2018 Elsevier Ltd
PB  - Elsevier
T2  - Measurement: Journal of the International Measurement Confederation
T1  - Stochastic digital DFT processor and its application to measurement of reactive power and energy
SP  - 494
EP  - 504
VL  - 124
DO  - 10.1016/j.measurement.2018.04.004
ER  - 
@article{
author = "Pejić, Dragan and Naumović Vuković, Dragana and Vujičić, Bojan and Radonjić, Aleksandar and Sovilj, Platon and Vujičić, Vladimir",
year = "2018",
url = "http://dais.sanu.ac.rs/123456789/3698, http://dais.sanu.ac.rs/123456789/4607",
abstract = "In this paper we present the model of digital stochastic DFT processor. Compared to the classical DFT/FFT processors, the proposed model has two advantages: first, it is much simpler and cheaper to implement, and second, it allows us to compute individual DFT components either in isolation or in parallel. In order to prove the validity of our model, we have simulated the measurement of reactive power and energy. In addition, we have conducted several experiments under field and laboratory conditions. The obtained results have shown that reactive power and energy can be measured with an accuracy of several ppm. © 2018 Elsevier Ltd",
publisher = "Elsevier",
journal = "Measurement: Journal of the International Measurement Confederation",
title = "Stochastic digital DFT processor and its application to measurement of reactive power and energy",
pages = "494-504",
volume = "124",
doi = "10.1016/j.measurement.2018.04.004"
}
Pejić, D., Naumović Vuković, D., Vujičić, B., Radonjić, A., Sovilj, P.,& Vujičić, V. (2018). Stochastic digital DFT processor and its application to measurement of reactive power and energy.
Measurement: Journal of the International Measurement ConfederationElsevier., 124, 494-504. 
https://doi.org/10.1016/j.measurement.2018.04.004
Pejić D, Naumović Vuković D, Vujičić B, Radonjić A, Sovilj P, Vujičić V. Stochastic digital DFT processor and its application to measurement of reactive power and energy. Measurement: Journal of the International Measurement Confederation. 2018;124:494-504
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Accuracy improvement of the stochastic digital electrical energy meter

Urekar, Marjan; Pejić, Dragan; Vujičić, Vladimir; Avramov Zamurović, Svetlana

(Elsevier, 2017)

TY  - JOUR
AU  - Urekar, Marjan
AU  - Pejić, Dragan
AU  - Vujičić, Vladimir
AU  - Avramov Zamurović, Svetlana
PY  - 2017
UR  - http://dais.sanu.ac.rs/123456789/2353
AB  - The paper describes the problem and a solution for the elimination of the systematic error in a stochastic flash ADC caused by the offset present in fast voltage comparators, when measuring voltage RMS and active power and energy using the stochastic digital measurement method. By the means of simple periodical cross-switching of inverting and non-inverting inputs of used comparators and inverting their digital outputs, it is possible to suppress offset induced error for over 80 dB. Main condition for the method is that input signals (one for voltage RMS measurement, two for power and energy measurements) are stationary during at least two (or even number) of signal cycles. A prototype of a stochastic energy meter was built. It has the offset suppression method implemented, based on the solution proposed in the paper. The prototype was used for measurements in a laboratory, in an industrial plant and on a large power load. The measurement results confirm high accuracy of the instrument and validity of its aforementioned condition. The stochastic digital electrical energy meter prototype has 0.13% accuracy while the stochastic measurement instrument in its core has 0.007% accuracy. High precision and high accuracy of the stochastic instrument enables it to be used as a reference meter for calibration of energy meters at the national level. Full measurement results are presented.
PB  - Elsevier
T2  - Measurement
T1  - Accuracy improvement of the stochastic digital electrical energy meter
SP  - 139
EP  - 150
VL  - 98
DO  - 10.1016/j.measurement.2016.11.038
ER  - 
@article{
author = "Urekar, Marjan and Pejić, Dragan and Vujičić, Vladimir and Avramov Zamurović, Svetlana",
year = "2017",
url = "http://dais.sanu.ac.rs/123456789/2353",
abstract = "The paper describes the problem and a solution for the elimination of the systematic error in a stochastic flash ADC caused by the offset present in fast voltage comparators, when measuring voltage RMS and active power and energy using the stochastic digital measurement method. By the means of simple periodical cross-switching of inverting and non-inverting inputs of used comparators and inverting their digital outputs, it is possible to suppress offset induced error for over 80 dB. Main condition for the method is that input signals (one for voltage RMS measurement, two for power and energy measurements) are stationary during at least two (or even number) of signal cycles. A prototype of a stochastic energy meter was built. It has the offset suppression method implemented, based on the solution proposed in the paper. The prototype was used for measurements in a laboratory, in an industrial plant and on a large power load. The measurement results confirm high accuracy of the instrument and validity of its aforementioned condition. The stochastic digital electrical energy meter prototype has 0.13% accuracy while the stochastic measurement instrument in its core has 0.007% accuracy. High precision and high accuracy of the stochastic instrument enables it to be used as a reference meter for calibration of energy meters at the national level. Full measurement results are presented.",
publisher = "Elsevier",
journal = "Measurement",
title = "Accuracy improvement of the stochastic digital electrical energy meter",
pages = "139-150",
volume = "98",
doi = "10.1016/j.measurement.2016.11.038"
}
Urekar, M., Pejić, D., Vujičić, V.,& Avramov Zamurović, S. (2017). Accuracy improvement of the stochastic digital electrical energy meter.
MeasurementElsevier., 98, 139-150. 
https://doi.org/10.1016/j.measurement.2016.11.038
Urekar M, Pejić D, Vujičić V, Avramov Zamurović S. Accuracy improvement of the stochastic digital electrical energy meter. Measurement. 2017;98:139-150
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