Podstrona: Publikacje / Wizytówka pracownika PRz

Poniżej podano publikacje od roku 2017. Publikacje z lat wcześniejszych podane są na portalach Researchgate i Google Scholar a także (do roku 2012) na stronie prezentującej dorobek naukowy pracowników Politechniki Rzeszowskiej.

2024

1. Hanus R., Zych M., Kusy M., Roshani G.H., Nazemi E.: Application of selected methods of computational intelligence to recognition of the liquid–gas flow regime in pipeline by use gamma absorption and frequency domain feature extraction. Measurement 238 (2024), 115260. https://www.sciencedirect.com/science/article/pii/S026322412401145X?via%3Dihub
2. Mayet A., Fouladinia F., Hanus R., Parayangat M., Raja M.R., Muqeet M.A., Mohammed S.A.: Multiphase Flowʼs Volume Fractions Intelligent Measurement by a Compound Method Employing Cesium137, Photon Attenuation Sensor, and Capacitance-Based Sensor. Energies 17(14), 2024, 3519. https://www.mdpi.com/1996-1073/17/14/3519
3. Hanus R., Zych M., Ochał P., Augustyn M.: Identification of the Structure of Liquid–Gas Flow in a Horizontal Pipeline Using the Gamma-Ray Absorption and a Convolutional Neural Network. Applied Sciences 14(11), 2024, 4854. https://www.mdpi.com/2076-3417/14/11/4854
4. Chorzępa R., Hanus R.: Modele sygnałów stochastycznych w badaniach statystycznych metod pomiaru prędkości wykorzystujących warunkowe uśrednianie. Przegląd Elektrotechniczny 100(7), 2024, 117-120
5. Ochał P., Augustyn M., Hanus R., Zych M.: Identyfikacja struktury przepływu ciecz-gaz w rurociągu przy zastosowaniu konwolucyjnej sieci neuronowej i spektrogramów sygnałów radiometrycznych. Przegląd Elektrotechniczny 100(7), 2024, 131-134
6. Hanus R., Zych M., Ochał P., Chorzępa R.: Application of the convolutional neural network to recognition of the two-phase water-air flow regime in a pipeline using histograms of radiometric signals. 2024 10th, International Conference on Control, Decision and Information Technology CoDIT'24, July 1-4, 2024, Valletta, Malta, pp. 1-4. 

2023

1. Mayet A. M., Shah U. M., Hanus R., Loukil H., Parayangat M., Muqeet M. A., Eftekhari-Zadeh E., Qaisi R. M. A.: Combination of a nondestructive testing method with artificial neural network for demining thickness of aluminum sheets regardless of alloy’s type. Electronics 12(21) (2023), 4504. (https://doi.org/10.3390/electronics12214504)         
2. Roshani G. H., Nazemi E., Hanus R., Zych M.: Simulation Study of the Application of Hilbert Transform in Two-phase Flow Parameters Measurements using Gamma-ray Absorption. Advances in IT and Electrical Engineering 29 (2023), 5-15. (https://journals.prz.edu.pl/aitee/article/view/951/994)

2022

1. Golijanek-Jędrzejczyk A., Mrowiec A., Kleszcz S., Hanus R., Zych M., Jaszczur M.: A numerical and experimental analysis of multi-hole orifice in turbulent flow. Measurement Vol. 193 (2022), 110910. https://www.sciencedirect.com/science/article/pii/S0263224122001919
2. Mayet A.M., Alizadeh S.M., Nurgalieva K.S., Hanus R., Nazemi E., Narozhnyy I.M.: Extraction of Time-Domain Characteristics and Selection of Effective Features Using Correlation Analysis to Increase the Accuracy of Petroleum Fluid Monitoring Systems. Energies 15(6) (2022), 1986. https://www.mdpi.com/1996-1073/15/6/1986/htm
3. Iliyasu A.M., Mayet A.M., Hanus R., Abd El-Latif A.A., Salama A.S.: Employing GMDH-Type Neural Network and Signal Frequency Feature Extraction Approaches for Detection of Scale Thickness inside Oil Pipelines. Energies 2022, 15(12), 4500. https://www.mdpi.com/1996-1073/15/12/4500
4. Hanus R., Zych M., Golijanek-Jędrzejczyk A.: Measurements of Two-phase Flows in Pipelines Using Radioisotopes and Statistical Signal Processing. The 21st IEEE Mediterranean Electrotechnical Conference MELECON 2022, June 14-16, 2022, Palermo, Italy, pp. 549-553.  https://ieeexplore.ieee.org/document/9843005
5. Hanus R., Zych M., Golijanek-Jędrzejczyk A.: Signals Features Extraction in Radioisotope Liquid-Gas Flow Measurements using Autocorrelation Function. The 8th, 2022 International Conference on Control, Decision and Information Technology CoDIT'22,  May 17-20, 2022, Instanbul, Turkey, pp. 81-85. DOI: 10.1109/CoDIT55151.2022.9804141, https://ieeexplore.ieee.org/abstract/document/9804141
6. Hanus R., Zych M., Golijanek-Jędrzejczyk A.: Investigation of Liquid–Gas Flow in a Horizontal Pipeline Using Gamma-Ray Technique and Modified Cross-Correlation. Energies 15(16) (2022), 5848. https://doi.org/10.3390/en15165848
7. Chen T.-C., Iliyasu A.M., Hanus R., Salama A.S., Hirota K. Predicting Scale Thickness in Oil Pipelines Using Frequency Characteristics and an Artificial Neural Network in a Stratified Flow Regime. Energies 15(20) (2022), 7564. https://www.mdpi.com/1996-1073/15/20/7564
8. Ochał P., Hanus R., Zych M.: Zastosowanie konwolucyjnej sieci neuronowej do identyfikacji struktury przepływu ciecz-gaz w rurociągu z wykorzystaniem histogramów sygnałów z detektorów scyntylacyjnych. Przegląd Elektrotechniczny 98(11), 2022, 185-189. http://pe.org.pl/articles/2022/11/38.pdf
9. Hanus R., Zych M., Golijanek-Jędrzejczyk A.: Measurements of dispersed phase velocity in two-phase flows in pipelines using gamma-absorption technique and phase of the cross-spectral density function. Energies 15(24) (2022), 9526. https://doi.org/10.3390/en15249526

2021

1. Hanus R., Zych M., Mosorov V., Golijanek-Jędrzejczyk A., Jaszczur M., Andruszkiewicz A.: Evaluation of liquid-gas flow in pipeline using gamma-ray absorption technique and advanced signal processing. Metrology and Measurement Systems   Vol. 28, 2021, No. 1, DOI: 10.24425/mms.2021.135997
2. Jaszczur M., Teneta J., Hassan Q., Majewska E., Hanus R.: An Experimental and numerical investigation of photovoltaic module temperature under varying environmental conditions. Heat Transfer Engineering 42(3-4) (2021), 354–367, DOI: 10.1080/01457632.2019.1699306, 
3. Roshani M., Phan G.T.T., Muhammad Ali P.J., Roshani G.H., Hanus R., Duong T., Corniani E., Nazemi E., Kalmoun E.M.: Evaluation of flow pattern recognition and void fraction measurement in two phase flow independent of oil pipeline’s scale layer thickness. Alexandria Engineering Journal, 60(1) (2021),  1955-1966. https://www.sciencedirect.com/science/article/pii/S1110016820306256
4. Roshani M., Phan G., Roshani G.H., Hanus R., Nazemi B., Corniani E., Nazemi E.:  Combination of X-ray tube and GMDH neural network as a nondestructive and potential technique for measuring characteristics of gas-oil-water three phase flows. Measurement Vol.168,  2021, 108427, https://www.sciencedirect.com/science/article/pii/S0263224120309611
5. Sattari M.A., Roshani G.H., Hanus R., Nazemi E.:  Applicability of time domain feature extraction methods and artificial intelligence in two-phase flow meters based on gamma ray absorption technique. Measurement Vol. 168, 2021, 108474, https://www.sciencedirect.com/science/article/abs/pii/S0263224120310034
6. Roshani G.H., Mohammad Ali P.J.M., Mohammed S., Hanus R., Abdulkareem L., Alanezi A.A., Nazemi E., Eftekhari‐Zadeh E.: Feasibility study of using X‐ray tube and GMDH for measuring volume fractions of annular and stratified regimes in three‐phase flows. Symmetry, 13(4) (2021), 613. https://www.mdpi.com/2073-8994/13/4/613
7. Roshani G.H., Muhammad Ali P.J.M., Mohammed S., Hanus R., Abdulkareem L., Alanezi A.A., Sattari M.A., Amiri S., Nazemi E., Eftekhari‐Zadeh E., Kalmoun E.M.: Simulation study of utilizing X-ray tube in monitoring systems of liquid petroleum products. Processes, 9(5) (2021),  828. https://www.mdpi.com/2227-9717/9/5/828
8.  Golijanek-Jędrzejczyk A., Mrowiec A., Hanus R., Zych M., Heronimczak M., Świsulski D.: The assessment of metrological properties of segmental orifice based on simulations and experiments. Measurement 181, (2021), 109601. https://www.sciencedirect.com/science/article/pii/S0263224121005753
9. Amiri S., Muhammad Ali P.J., Mohammed S., Hanus R., Abdulkareem L., Alanezi A.A., Eftekhari‐Zadeh E., Roshani G.H., Nazemi E., Kalmoun E.M.: Proposing a nondestructive and intelligent system for simultaneous determining flow regime and void fraction percentage of gas-liquid two phase flows using polychromatic X-ray transmission spectra. Journal of Nondestructive Evaluation 40 (2021), 47. https://link.springer.com/article/10.1007/s10921-021-00782-w

2020

1. Mosorov V., Zych M., Hanus R., Sankowski D., Saoud A.: Improvement of flow velocity measurement algorithms based on correlation function and twin plane electrical capacitance tomography. Sensors  20(1), 2020, 306; https://doi.org/10.3390/s20010306. https://www.mdpi.com/1424-8220/20/1/306
2. Sattari M. A., Roshani G. H., Hanus R.: Improving the structure of two-phase flow meter using feature extraction and GMDH Neural Network. Radiation Physics and Chemistry Vol. 171, 2020, 108725, https://www.sciencedirect.com/science/article/abs/pii/S0969806X19312198
3. Golijanek-Jędrzejczyk A., Mrowiec A., Hanus R., Zych M., Świsulski D.: Uncertainty of mass flow measurement using centric and eccentric orifice for Reynolds number in the range 10,000 ≤ Re ≤ 20,000. Measurement Vol. 160, 2020, 107851. https://www.sciencedirect.com/science/article/pii/S0263224120303894?via%3Dihub
4. Sattari M. A., Korani N., Hanus R., Roshani G. H., Nazemi E.: Improving the performance of gamma radiation based two phase flow meters using optimal time characteristics of the detector output signal extraction. Journal of Nuclear Science and Technology (Iran) 2020, Vol. 92, no 2, 2020, 42-54.   https://jonsat.nstri.ir/article_1116_7c6be89109e146df686ea26c16fe08d2.pdf
5. Hanus R., Zych M., Chorzępa R., Golijanek-Jędrzejczyk A.: Investigations of the methods of time delay measurement of stochastic signals using cross-correlation with the Hilbert Transform. 2020 IEEE 20th Mediterranean Electrotechnical Conference (MELECON 2020), Palermo, Italy, 2020, pp. 238-242. https://ieeexplore.ieee.org/document/9140630

2019

1.  Hanus R. Time delay estimation of random signals using cross-correlation with Hilbert Transform. Measurement, Vol. 146, 2019, pp. 792-799, DOI: https://doi.org/10.1016/j.measurement.2019.07.014
2. Golijanek-Jędrzejczyk A., Mrowiec A., Hanus R., Zych M., Świsulski D.: Determination of the uncertainty of mass flow measurement using the orifice for different values of the Reynolds number. The European Physical Journal Web of Conferences, Vol. 213, (2019), 02022, DOI: https://doi.org/10.1051/epjconf/201921302022 https://www.epj-conferences.org/articles/epjconf/abs/2019/18/epjconf_efm18_02022/epjconf_efm18_02022.html
3. Hanus R., Zych M., Wilk B., Jaszczur M., Świsulski D.: Signals features extraction in radioisotope liquid-gas flow measurements using wavelet analysis. The European Physical Journal Web of Conferences, Vol. 213, (2019), 02023, DOI:  https://doi.org/10.1051/epjconf/201921302023 https://www.epj-conferences.org/articles/epjconf/abs/2019/18/epjconf_efm18_02023/epjconf_efm18_02023.html
4. Wilk B., Hanus R.: Blood flow in the brachial artery compressed by a cuff. The European Physical Journal Web of Conferences Vol. 213, (2019), 02099, DOI:  https://doi.org/10.1051/epjconf/201921302099 https://www.epj-conferences.org/articles/epjconf/abs/2019/18/epjconf_efm18_02099/epjconf_efm18_02099.html
5. Zych M., Hanus R., Jaszczur M., Golijanek-Jędrzejczyk A., Świsulski D., Roshani G.H: Analysis and interpretation of radiometric signals in a liquid-gas bubble flow. The European Physical Journal Web of Conferences, Vol. 213 (2019), 02105, DOI: https://doi.org/10.1051/epjconf/201921302105 https://www.epj-conferences.org/articles/epjconf/abs/2019/18/epjconf_efm18_02105/epjconf_efm18_02105.html
6. Hanus R., Zych M., Jaszczur M., Szlachta A., Golijanek-Jędrzejczyk A.: Signal processing in the investigation of two-phase liquid-gas flow by gamma-ray absorption. 6^th - 2019 International Conference on Control, Decision and Information Technologies, CoDIT’19, Paris, France, April 23-26, 2019, pp. 681-684. https://ieeexplore.ieee.org/document/8820498
7. Hanus R., Zych M., Jaszczur M.: Computational intelligence approach for liquid-gas flow regime classification based on frequency domain analysis of signals from scintillation detectors. In: Rojas I., Joya G., Catala A. (eds) Advances in Computational Intelligence. IWANN 2019. Lecture Notes in Computer Science, vol. 11507, pp. 339-349, Springer, Cham 2019. https://link.springer.com/chapter/10.1007%2F978-3-030-20518-8_29
8. Zych M., Stachura G., Hanus R, Szabó N.P.:  Application of Artificial Neural Networks in identification of geological formations on the basis of well logging data – a comparison of computational environments’ efficiency. In: Hanus R., Mazur D., Kreischer C. (eds) Methods and Techniques of Signal Processing in Physical Measurements. MSM 2018. Lecture Notes in Electrical Engineering, vol. 548, pp. 416-422, Springer, Cham 2019.  https://link.springer.com/chapter/10.1007/978-3-030-11187-8_34
9. Hassan Q., Jaszczur M., Juste M.S.,Hanus R.: Predicting the amount of energy generated by a wind turbine based on the weather data. IOP Conference Series: Earth and Environmental Science, Vol. 214 (2019), 012113. http://iopscience.iop.org/article/10.1088/1755-1315/214/1/012113
10. Palej P., Hassan Q., Kleszcz S., Hanus R., Jaszczur M.:  Analysis and optimization of the hybrid renewable energy system. Polityka Energetyczna – Energy Policy Journal 22(2), 2019, 107-120.  https://epj.min-pan.krakow.pl/Analysis-and-optimisation-of-the-hybrid-renewable-energy-system,109911,0,2.html
11. Hanus R., Zych M.: Simulation study of the application of Hilbert Transform in correlation measurements of liquid-gas flow using gamma-ray attenuation technique.  2019 8th International Conference on Systems and Control (ICSC), 23-25 Oct. 2019, Marrakesh, Morocco pp. 490-494.  https://ieeexplore.ieee.org/document/8950577
12. Golijanek-Jędrzejczyk A., Hanus R., Zych M., Mrowiec A.: Wpływ oczyszczenia danych pomiarowych na wyznaczenie wartości przepływu masowego za pomocą kryzy. Przegląd Elektrotechniczny, Vol. 95 (2019), Nr 11, str. 56-58.
13. Hanus R., Mazur D., Kreischer Ch. (eds): Methods and Techniques of Signal Processing in Physical Measurements. Lecture Notes in Electrical Engineering, Vol. 548, Springer, Cham, 2019. https://www.springer.com/gp/book/9783030111861

2018

1. Hanus R., Zych M., Kusy M., Jaszczur M., Petryka L.: Identification of liquid-gas flow regime in a pipeline using gamma-ray absorption technique and computational intelligence methods. Flow Measurement and Instrumentation, 60, 2018, pp. 17-23. DOI: https://doi.org/10.1016/j.flowmeasinst.2018.02.008
2. Roshani G.H., Hanus R., Khazaei A., Zych M., Nazemi E., Mosorov V.: Density and velocity determination for single-phase flow based on radiotracer technique and neural networks. Flow Measurement and Instrumentation, Vol. 61, 2018; pp. 9–14. DOI: https://doi.org/10.1016/j.flowmeasinst.2018.03.006
3. Golijanek-Jędrzejczyk A., Świsulski D., Hanus R., Zych M., Petryka L.: Uncertainty of the liquid mass flow measurement using the orifice plate. Flow Measurement and Instrumentation, 62, 2018, pp. 84-92. DOI: https://doi.org/10.1016/j.flowmeasinst.2018.05.012
4. Zych M., Hanus R., Wilk B., Petryka L., Świsulski D.: Comparison of noise reduction methods in radiometric correlation measurements of two-phase liquid-gas flows. Measurement, 129, 2018; pp. 288–295. https://www.sciencedirect.com/science/article/pii/S0263224118306304
5. Hanus R., Kowalczyk A., Szlachta A., Chorzępa R.: Application of conditional averaging to time delay estimation of random signals. Measurement Science Review, Vol. 18, No.4, 2018, pp. 130-137.
6. Hanus R., Zych M., Jaszczur M., Petryka L., Świsulski D.: Radioisotope measurements of the liquid-gas flow in the horizontal pipeline using phase method. The European Physical Journal Web of Conferences, Vol. 180 (2018), 02032, DOI: https://doi.org/10.1051/epjconf/201818002032.
7. Zych M., Hanus R., Jaszczur M., Świsulski D., Petryka L., Jodłowski P., Zych P.: Evaluation of the structures size in the liquid-gas flow by gamma-ray absorption. The European Physical Journal Web of Conferences, Vol. 180 (2018), 02123, DOI: https://doi.org/10.1051/epjconf/201817002123.
8. Zych M., Hanus R., Jaszczur M., Mosorov V., Świsulski D.: Radioisotope measurement of selected parameters of liquid-gas flow using single detector system. The European Physical Journal Web of Conferences, Vol. 180 (2018), 02124, DOI: https://doi.org/10.1051/epjconf/201817002124. 
9. Hanus R., Zych M., Kusy M., Hanus P.: Zastosowanie absorpcji promieniowania gamma i wybranych metod sztucznej inteligencji do identyfikacji struktury przepływu ciecz-gaz w rurociągu. Przegląd Elektrotechniczny, Vol. 94 (2018), Nr 8, 146-149. doi:10.15199/48.2018.08.34

2017

1. Zych M., Hanus R., Vlasak P., Jaszczur M., Petryka L.: Radiometric methods in the measurement of particle-laden flows. Powder Technology, Vol. 318, August 2017, pp. 491-500. DOI: https://doi.org/10.1016/j.powtec.2017.06.019
2. Kowalczyk A., Szlachta A., Hanus R., Chorzępa R.: Estimation of conditional expected value for exponentially autocorrelated data. Metrology and Measurement Systems, Vol. 24 (2017), No. 1, pp. 69–78. DOI: 10.1515/mms-2017-0005
3. Golijanek-Jędrzejczyk A., Świsulski D., Hanus R., Zych M., Petryka L.: Estimating the uncertainty of the liquid mass flow using the orifice plate. The European Physical Journal Web of Conferences, Vol. 143, 02030, (2017), DOI: https://doi.org/10.1051/epjconf/201714302030
4. Hanus R., Zych M., Petryka L., Świsulski D., Strzępowicz A.: Application of ANN and PCA to two-phase flow evaluation using radioisotopes. The European Physical Journal Web of Conferences, Vol. 143, 02033, (2017), DOI: https://doi.org/10.1051/epjconf/201714302033
5. Jaszczur M., Zych M., Hanus R.: Direct numerical simulation of the passive heat transfer in a turbulent flow with particle. The European Physical Journal Web of Conferences, Vol. 143, 02046, (2017), DOI: https://doi.org/10.1051/epjconf/201714302046
6. Łuszczek M., Świsulski D., Hanus R., Zych M., Petryka L.: Graphene field-effect transistor application for flow sensing. The European Physical Journal Web of Conferences, Vol. 143, 02068, (2017), DOI: https://doi.org/10.1051/epjconf/201714302068
7. Petryka L., Mosorov V., Zych M., Hanus R., Sobota J., Jaszczur M., Świsulski D.: Improvement of radiotracers experiments in mass transfer processes. The European Physical Journal Web of Conferences, Vol. 143, 02092, (2017), DOI: https://doi.org/10.1051/epjconf/201714302092
8. Świsulski D., Hanus R., Zych M., Petryka L.: Methods of measurement signal acquisition from the rotational flow meter for frequency analysis. The European Physical Journal Web of Conferences, Vol. 143, 02124, (2017), DOI: https://doi.org/10.1051/epjconf/201714302124
9. Hanus R., Zych M., Petryka L.: Badania przepływu ciecz-gaz w rurociągu metodą absorpcji promieniowania gamma. Przegląd Elektrotechniczny, Vol. 93 (2017), Nr 9, 97-100.