návrh na zahájení habilitačního řízení · microprocessor instruments programming,...

Návrh na zahájení habilitačního řízení

Ing. Jerzy Roj, Ph.D.

v oboru Technická kybernetika

na FEI VŠB-TU Ostrava

Personal data Name and surname: Jerzy Roj

Date of birth: 17.04.1964

Address: ul. Konarskiego 23A/7, 44-100 Gliwice, Poland

Affiliation: Silesian University of Technology, Faculty of Electrical Engineering,

Institute of Measurement Science, Electronics and Control,

Gliwice, Poland

Habilitation thesis title:

Neural Reconstruction of Measuring Signals

Education

1979 – 1983 V General/Comprehensive Secondary School in Gliwice (Poland), with a

math/physics profile,

1983 – 1989 Silesian University of Technology (Gliwice, Poland), Faculty of Electrical

Engineering,

field of study: Electrical Engineering,

speciality: Automation and Electrical Metrology.

Academic degrees and titles

1989 M.Sc. degree in the discipline of Electrical Engineering – Faculty of

Electrical Engineering, Silesian University of Technology.

Diploma thesis: Microprocessor-based device to measure linear

displacements.

1998 Ph.D. degree in the discipline of Electrical Engineering – Faculty of

Electrical Engineering, Silesian University of Technology.

Ph.D. thesis: Measurement of the combustible mixture concentration using

pulse supplied pellistor bridge.

Professional experience

1989 – 1991 Intern teaching assistant – Silesian University of Technology, Faculty of

Electrical Engineering, Institute of Metrology and Electrical Engineering

Automation.

1991 – 1999 Teaching assistant – Silesian University of Technology, Faculty of Electrical

Engineering, Institute of Metrology and Electrical Engineering Automation.

1999 – 2014 Assistant professor – Silesian University of Technology, Faculty of Electrical

Engineering, Institute of Measurement Science, Electronics and Control.

from 2014 Senior Lecturer – Silesian University of Technology, Faculty of Electrical

Engineering, Institute of Measurement Science, Electronics and Control.

Expert Areas

- Metrology, measurement uncertainty,

- measurement and control systems,

- artificial neural networks in a measuring technique,

- fast algorithms for measurement signals reconstruction and data processing,

- measurements of electrical and non-electrical quantities, sensors and transducers.

Member of the Polish Society of Theoretical and Applied Electrotechnics - since 2004.

Pedagogical Work

1. Conducting the following didactic classes at the Faculty of Electrical Engineering, Silesian

University Of Technology in Gliwice:

Digital and Microprocessor Technique

Microprocessor Instruments Programming and Starting up,

Starting up Systems,

Modular Microprocessor-based Systems,

Microprocessor Instruments,

Metrology,

Computer Systems for Automation and Measurements,

Fundamentals of Electronics,

Electronic Components and Circuits.

2. Developing curricula for the following academic classes:

Digital and Microprocessor Technique,



Microprocessor Instruments Programming,

Electronic Components and Circuits.

3. Being a thesis supervisor and a reviewer of diploma theses:

Supervisor of 13 MSc and 12 BSc diploma theses.

Reviewer of 54 MSc and Bsc theses other than those listed above.

4. Preparing and conducting postgraduate courses:

Smart Buildings – lecture prepared and conducted in 2002-2006 on Postgraduate Study:

Market of electricity, heat, gas and multimedia services.

5. Preparation and conduct of the new lecture



Microprocessor Instruments Programming,

Electronic Components and Circuits,

6. Preparation of instructions for laboratory classes or other replicated materials

6.1. Instruction to exercise: Research of operational amplifiers basic properties, conducted at

the Laboratory of Electronics.

6.2. Materials for the lecture: Smart Buildings, conducted on Postgraduate Study: Market of

electricity, heat, gas and multimedia services.

7. Development of new laboratory stands and classes

7.1. Laboratory of Digital and Microprocessor Techniques:

- JK flip-flops synchronous counters,

- 74193 integrated synchronous counters,

- JK flip-flops asynchronous counters,

- 7492 and 7493 integrated asynchronous counters,

- Microprocessor Z80.

7.2. Laboratory of Electronics:

- Stand for testing the basic properties of operational amplifiers.

8. Awards of the Rector of the Silesian University Of Technology in Gliwice for achievements in the

field of didactic:

Second Degree Team Award, Gliwice 1990,

First Degree Team Award, Gliwice 1998,

First Degree Team Award, Gliwice 2001,

Third Degree Team Award, Gliwice 2007.

9. Didactic publications:

Jakubiec J. Roj J.: Pomiarowe przetwarzanie próbkujące (Measuring sample processing).

Academic textbook. Wydawnictwo Politechniki Śląskiej, Gliwice, 2000.

Bogacz R., Jakubiec J. (ed.), Kluger A., Roj J., Tokarski J.: Technika cyfrowa

i mikroprocesorowa w ćwiczeniach laboratoryjnych (Digital and microprocessor technique in

laboratory classes). Academic textbook. Wydawnictwo Politechniki Śląskiej, Gliwice 2006.

Bogacz R., Jakubiec J. (ed.), Roj J., Tokarski J.: Technika cyfrowa i mikroprocesorowa w

ćwiczeniach laboratoryjnych (Digital and microprocessor technique in laboratory classes).

Revised and enlarged edition, Academic textbook. Wydawnictwo Politechniki Śląskiej,

Gliwice 2011.

10. Cooperation and care of Ph.D. students and young academics

M.Sc. Makowski P. - consultations within the prepared PhD dissertation on the use of neural

networks in measuring chains with the input quantity reconstruction,

M.Sc. Bogacz R. - consultations within the prepared PhD dissertation on the measurement of

the methane concentration using a pulse supplied pellistor bridge.

Research Work (Projects, invited lectures, …)

1. Research projects funded by the State Committee for Scientific Research (KBN), Ministry of

Science and The National Centre for Research and Development (NCBiR)

1.1. KBN research project no 8 T10C 008 10: Analiza metrologiczna metody programowego

wyznaczania wyniku pomiaru stężenia metanu w stanie nieustalonym mostka pelistorowego

(Metrological analysis of software method for determining the concentration of methane in

pellistor bridge transient state). Ph.D. grant. Duration: 01.1996-06.1997.

1.2. NCBiR strategic project no PBS-2/RE-2/2010: Zintegrowany system zmniejszania

eksploatacyjnej energochłonności budynków (Integrated system for reducing energy consumption

of buildings). Research task 4: Rozwój diagnostyki cieplnej budynków (The development of

buildings thermal diagnostics). Entity engaged: Scientific and industrial consortium which

included, among others, Institute of Measurement Science, Electronics and Control Faculty of

Electrical Engineering Silesian University of Technology in Gliwice. Duration: 10.05.2010 ÷

31.05. 2013. The resulting amount of money for the implementation of the research task: 877 000

zł 208 810 euro.

2. Significant statutory and own works

(titles of the works listed below have been translated from Polish into English)

2.1. The Directional Researches of Institute of Metrology and Electrical Engineering Automation,

Silesian University Of Technology, no BK-323/RE-2/91: Construction and programming the

universal research stand in Euro standard with CP/M disk operating system. 1991.


Silesian University Of Technology, no BK-455/RE-2/92: Hardware and software modernization

of autonomous microprocessor-based measuring instruments. 1992.


Silesian University Of Technology, no BK-676/RE-2/93: Hardware and software modernization

of autonomous microprocessor-based measuring instruments. 1993.


Silesian University Of Technology, no BK-53/RE-2/94: The development of measuring

networks and systems. Task 2.1: Hardware and software modernization of autonomous

microprocessor-based measuring instruments. 1994.

2.5. The Own Researches of Institute of Metrology and Electrical Engineering Automation, Silesian

University Of Technology, no BW-39/RE-2/94: Research of the pellistor sensors aging and

exploitation changes. 1994. (project Manager).


University Of Technology, no BW-13/RE-2/95: Develop an algorithm for determining the

concentration of methane in the transient state of the pellistor bridge, destined to be

implemented by the 8051 microcontroller. 1995. (project Manager).


Silesian University Of Technology, no BK-258/RE-2/95: Hardware and software development

in programmable measurement systems. Task 2.1. Extension of a system based on VME bus.

1995.



in programmable measurement systems. Task 2.1. Extension of a system based on VME bus.

1996.



in programmable measurement systems. Task 2.1. QNX operating system integration with

measurement modules in the VME bus standard. 1997.



in programmable measurement systems. 1998.


University Of Technology, no BW-13/RE-2/98: Uncertainty model development of a methane

concentration reconstruction algorithm in a pellistor bridge transient state.1998. (project

Manager).


Silesian University Of Technology, no BK-232/RE-2/99: The measuring system as an object

and tool of research. Task 2.2. Determination of the metrological properties of A/D processing

circuits in the measuring chains with reconstruction. 1999.


Silesian University Of Technology, no BK-230/RE-2/2000: The measuring system as an object

and tool of research. Task 2A: Research time delays of measuring data transmission in real-

time system. 2000.


Silesian University Of Technology, no BK-229/RE-2/2001: New measuring methods and

systems. Task 2: The measuring system as an object and tool of research. Identification of error

sources in the measuring system. 2001.



systems. Task 2: The measuring system as an object and tool of research. Modeling the

propagation of data uncertainty in a measuring system. 2002.



systems. Task 2: The measuring system as an object and tool of research. Errors and

uncertainties modeling in the measuring system. 2003.


Silesian University Of Technology, no BK-246/RE-2/2005: Methods and measuring systems

using electronic and information technology. Task 2: The measuring system as an object and

tool of research. 2005/2006.




tool of research. 2006 – continuation from 2005.

2.19. The Directional Researches of Institute of Measurement Science, Electronics and Control,



tool of research. Subtask 1A: Neural networks in the processing carried out by the measuring

system. 2007.



using electronic and information technology. Task 5. The measuring system as an object and

tool of research. Subtask 5B: Neural networks as transducers in the measuring system. 2009.




tool of research. Subtask 5B: Analysis of neural networks metrological properties. 2010.




tool of research. Subtask 5B: Analysis of neural networks metrological properties. 2011.




tool of research. Subtask 5D: Analysis of metrological properties of neural networks used for

processing systems measurement data. 2012.

Publications Papers in the impact journals: 5

Papers in other journals: 16

Papers in the ISI Proceedings conferences: 1

Papers in the other Proceedings conferences: 15

Books: 2 Monographs, 3 Akademic books

Other results: patents and so on.

Publication reviewing:

1. Review of a scientific paper submitted for publication in the journal Measurement Automation

and Monitoring (Pomiary Automatyka Kontrola), November 2012.

2. Review of a scientific paper submitted for publication in the journal Measurement Science

Review (Impact Factor: 1.162), April 2014.

3. Review of a scientific paper submitted for publication in the journal Measurement Science

Review (Impact Factor: 1.162), June 2014.

4. Review of a scientific paper submitted for publication in the journal IET Science Measurement &

Technology (Impact Factor: 0.592), March 2015.

5. Review of a scientific paper submitted for publication in the journal IEEE Transactions on

Systems, Man, and Cybernetics: Systems (Impact Factor: 2.169), April 2015.

- Third Degree Individual Award of the Rector of the Silesian University Of Technology in Gliwice

for achievements in the science field, Gliwice 2014.

Papers in ISI Web Knowledge (ISI WoK)

1. Jakubiec J., Makowski P., Roj J.: Error Model Application in Neural Reconstruction of Nonlinear

Sensor Input Signal. IEEE Transactions on Instrumentation and Measurement, Vol. 58, no. 3,

2009, p. 649-656. (33%). Impact Factor: 1.025, (Q2 2009)

2. Roj J.: Estimation of the artificial neural network uncertainty used for measurand reconstruction

in a sampling transducer, IET Science, Measurement & Technology, Vol. 8, Issue 1, 2014, p. 23-

29. Impact Factor: 0.592, (Q2 2013)

3. Roj J.: Neural approximation of empirical functions, Acta Physica Polonica A, Vol. 124, No. 3,

2013, p. 554-557. Impact Factor: 0.604, (Q3 2013)

4. Roj J.: Neural network based real-time correction of transducer dynamic errors, Measurement

Science Review, Vol. 13, No. 6, 2013, p. 286-291.

Impact Factor: 1.162, (Q3 2013)

5. Roj J., Cichy A.: Method of Measurement of Capacitance and Dielectric Loss Factor Using

Artificial Neural Networks, Measurement Science Review, Vol. 15, No. 3, 2015, p. 127-131.

(50%). DOI: 10.1515/msr-2015-0019, not yet included in ISI WoK.


Papers in SCOPUS

1. Jakubiec J., Makowski P., Roj J.: Error Model Application in Neural Reconstruction of Nonlinear

Sensor Input Signal. IEEE Transactions on Instrumentation and Measurement, Vol. 58, no. 3,

2009, p. 649-656. (33%). Impact Factor: 1.025, (Q2 2009)

2. Roj J.: Estimation of the artificial neural network uncertainty used for measurand reconstruction

in a sampling transducer, IET Science, Measurement & Technology, Vol. 8, Issue 1, 2014, p. 23-

29. Impact Factor: 0.592, (Q2 2013)

3. Roj J.: Neural approximation of empirical functions, Acta Physica Polonica A, Vol. 124, No. 3,

2013, p. 554-557. Impact Factor: 0.604, (Q3 2013)

4. Roj J.: Neural network based real-time correction of transducer dynamic errors, Measurement

Science Review, Vol. 13, No. 6, 2013, p. 286-291.


5. Roj J., Cichy A.: Method of Measurement of Capacitance and Dielectric Loss Factor Using

Artificial Neural Networks, Measurement Science Review, Vol. 15, No. 3, 2015, p. 127-131.

(50%). DOI: 10.1515/msr-2015-0019, not yet included in Scopus.


Papers in Proceedings (ISI, SCOPUS)

1. Jakubiec J., Makowski P., Roj J.: Neural reconstruction of nonlinear sensor input signal. IEEE

Instrumentation and Measurement Technology Conference – IMTC 2007, Warsaw, Poland, May

1-3, 2007, CD-ROM, p. 1-6. (33%).

Papers in other journals

1. Roj J.: Przyrząd mikroprocesorowy do pomiaru przemieszczeń liniowych w zakresie 0...10 mm

(Microprocessor-based device to measure linear displacements in the range 0...10 mm). Zeszyty

Naukowe Pol. Śląskiej, Elektryka (Scientific Papers of Sil. Univ. of Techn.), z. 119, Gliwice

1991, p. 113-119.

2. Jakubiec J., Roj J.: Funkcjonalne własności dwuwymiarowego algorytmu korekcji błędów

statycznych przeznaczonego do stosowania w przyrządach mikroprocesorowych (Functional

properties of two-dimensional static error correction algorithm for use in the microprocessor

devices). Zeszyty Naukowe Pol. Śląskiej, Elektryka (Scientific Papers of Sil. Univ. of Techn.), z.

128, Gliwice 1992, p. 95-106.

3. Pokrywka Z., Roj J.: Stanowisko do badania stanów nieustalonych czujników pelistorowych

(Laboratory stand for testing transients states of pellistor sensors). Zeszyty Naukowe Pol.

Śląskiej, Elektryka (Scientific Papers of Sil. Univ. of Techn.), z. 134, Gliwice 1994, p. 63-70.

4. Roj J.: Zastosowanie modeli odcinkowo-liniowych w procesie odtwarzania stężenia metanu (The

use of piecewise-linear models in the reconstruction of the methane concentration). Zeszyty

Naukowe Pol. Śląskiej, Elektryka (Scientific Papers of Sil. Univ. of Techn.), z. 165, Gliwice

1999, p. 39-50.

5. Roj J.: Modele odcinkowo-liniowe w zastosowaniu do budowy szybkich algorytmów korekcji

błędów systematycznych złożonych nieliniowych przetworników pomiarowych (Piecewise-linear

models used for the construction of fast algorithms for correcting systematic errors of complex

non-linear measuring transducers). PAK (Measurement Automation and Monitoring), no 11,

1999, p. 2-5.

6. Roj J.: Podstawowe standardy systemów pomiarowo-sterujących stosowanych w inteligentnych

budynkach (Fundamental standards of the measurement and control systems used in intelligent

buildings). Zeszyty Naukowe Pol. Śląskiej, Elektryka (Scientific Papers of Sil. Univ. of Techn.),

z.181, Gliwice 2002, p.165-174.

7. Jakubiec J., Roj J.: Model błędów sieci neuronowej jako ogniwa przetwarzania próbkującego

(Error model of the artificial neural network as a part of the sampling process). PAK

(Measurement Automation and Monitoring), no 7/8, 2002, p. 33-36.

8. Makowski P., Roj J.: Dobór funkcji aktywacji sieci neuronowej realizującej odtwarzanie

wielkości wejściowej przetwornika pomiarowego (Selection of the activation function of the

artificial neural network implementing reconstruction of the transducer input quantity). PAR

(Measurements Automation Robotics), no 7-8, 2004, p. 120-124.

9. Jakubiec J, Makowski P., Roj J.: Sieć neuronowa jako element przetwornika próbkującego

(Artificial neural network as a part of the sampling transducer). Zeszyty Naukowe Pol. Śląskiej,

Elektryka (Scientific Papers of Sil. Univ. of Techn.), z. 195, Gliwice 2005, p. 75-90.

10. Makowski P., Roj J.: Neuronowa realizacja korekcji błędów dynamicznych w przetworniku

próbkującym (Neural implementation of dynamic error correction in the sampling transducer).

PAK (Measurement Automation and Monitoring), no 6, 2006, p.33-35.

11. Roj J.: Właściwości metrologiczne jednokierunkowych sieci neuronowych (Metrological

properties of the feedforward neural networks). Zeszyty Naukowe Pol. Śląskiej, Elektryka

(Scientific Papers of Sil. Univ. of Techn.), z. 205, Gliwice 2008, p. 87-100.

12. Roj J.: Neuronowa korekcja błędów dynamicznych przetwornika II-go rzędu (Second order

converter dynamic errors correction implementing neural networks). PAK (Measurement

Automation and Monitoring), vol. 56 no 11, 2010, p. 1315-1317.

13. Roj J.: Właściwości metrologiczne radialnych i sigmoidalnych sieci neuronowych zastosowanych

do korekcji błędów statycznych w przetworniku próbkującym (Metrological properties of RBF

and MLP neural networks used for static errors correction in a sampling transducer). Przegląd

Elektrotechniczny (Electrical Review),

R. 89, no 1a, 2013, p. 84-87.

14. Piaskowy A., Roj J.: Metoda rzutowania gradientu w optymalizacji parametrów konstrukcyjnych

napięciowego transformatora pomiarowego (Gradient projection method in optimization of

measuring transformer design parameters). Przegląd Elektrotechniczny (Electrical Review),

R. 89, no 1a, 2013, p. 91-93.

15. Gutten M., Jurcik J., Cichy A., Roj J.: The analysis of a combustion engine knock control system.

PAK (Measurement Automation and Monitoring), vol. 60, no 10, 2014, p. 832-835.

16. Gutten M., Jurcik J., Cichy A., Roj J.: Analysis of the gasoline engines electronic injection

system. PAK (Measurement Automation and Monitoring), vol. 60, no 11, 2014, p. 1044-1048.

Papers in other Proceedings conferences

1. Roj J.: Programowa korekcja błędów statycznych przetwornika przemieszczeń liniowych

(Numerical correction of linear displacement transducer static errors). Metrologia i Systemy

Pomiarowe (Metrology and Measurement Systems), conf. proc. MKM’92, Warszawa-Gdańsk

1992, p. 437-438.

2. Roj J.: Metoda pomiaru stężenia mieszanek palnych za pomocą mostka pelistorowego zasilanego

impulsowo (Method of the combustible mixture concentration measurement using pulse supplied

pellistor bridge). Conf. proc. MKM'95, Tom II, Zielona Góra, 1995, p. 326-334.

3. Jakubiec J., Roj J.: Procedura odtwarzania w zastosowaniu do pomiaru stężenia metanu za

pomocą mostka pelistorowego (The reconstruction procedure in application to methane

concentration measurement using a pellistor bridge). 12th International Conference on

Automation in Mining, ICAMC'95, Gliwice, Poland, 1995, p. 463-468.

4. Bogacz R., Jakubiec J., Al Raimi H., Roj J.: System do badań własności metrologicznych różnych

rozwiązań sprzętowych i programowych systemów pomiarowych (The system for research the

metrological properties of various hardware and software measuring systems). Conf. proc.

„Measurement Systems in Research and in Industry”, SP’96, Zielona Góra 1996, p. 7-14.

5. Bogacz R., Jakubiec J., Roj J.: System pomiarowy do badań czujników do pomiaru stężeń

mieszanek palnych w stanach dynamicznych (The measuring system for research the sensors to

measure concentrations of flammable mixtures in dynamic states). Conf. proc. „Measurement

Systems in Research and in Industry”, SP'96, Zielona Góra, 1996, p.15-24.

6. Jakubiec J., Roj J.: Metoda modelowania niepewności w torach pomiarowych o złożonej

strukturze przetwarzania programowego (The method of uncertainty modeling in the

measurement chains of the software processing complex structure). Conf. proc. „Measurement

Systems in Research and in Industry”, Sp’98, Zielona Góra 1998, p. 65-80.

7. Roj J.: Modele odcinkowo-liniowe w zastosowaniu do budowy szybkich algorytmów korekcji

błędów systematycznych złożonych nieliniowych przetworników pomiarowych (Piecewise-linear

models used for the construction of fast algorithms for correcting systematic errors of complex

non-linear measuring transducers). Conf. proc. KKM’98, Tom II, Gdańsk 1998, p. 261-268.

8. Jakubiec J., Roj J.: Analiza błędów układu kondycjonowania w torze pomiarowym z

odtwarzaniem (Analysis of conditioning circuit errors in measurement chain with measurand

reconstruction). Conf. proc. MWK’99, Tom III, Rynia k. Warszawy. 7-10.06.1999, p. 17-24.

9. Jakubiec J., Roj J.: Ograniczenia programowego rozszerzania pasma wzmacniacza pomiarowego

w przetworniku próbkującym (Limitations of the amplifier software expanding bandwidth in the

sampling transducer). Conf. proc. „Measurement Systems in Research and in Industry”, SP’2000,

Wydawnictwo Politechniki Zielonogórskiej, Zielona Góra 2000, p. 109-118.

10. Makowski P., Roj J.: Błędy własne sieci neuronowej zastosowanej do rozwiązywania

dwuwymiarowego zadania odwrotnego (Own errors of the artificial neural network used to solve

the two-dimensional inverse problem). VI International PhD Workshop OWD, Wisła, Poland, 16-

19 October 2004, Vol. 6, p. 303-306, CD-ROM p. 1-4.

11. Makowski P., Roj J.: Wpływ procesu uczenia na właściwości metrologiczne sieci neuronowej

(Impact of the learning process on the neural network metrological properties). Conf. proc.

MKM’2005, p. 225-232.

12. Roj J.: Neuronowa korekcja błędów dynamicznych przetwornika II-go rzędu (Second order

converter dynamic errors correction implementing neural networks). Conf. proc. „Measurement

Systems in Research and in Industry”, SP’2010, Łagów, 2010. Oficyna Wydaw. Uniwersytetu

Zielonogórskiego, Zielona Góra, 2010, p. 139-142.

13. Roj J.: Porównanie właściwości metrologicznych radialnych i sigmoidalnych sieci neuronowych

zastosowanych do odtwarzania wielkości wejściowej w przetworniku próbkującym (Comparison

of metrological properties RBF and MLP neural networks used for input quantity reconstruction

in a sampling transducer). Conf. proc. “Fundamental Problems of Metrology”, PPM'12, Krynica-

Zdrój, 2012. The Katowice Branch of the Polish Academy of Science, class: Conferences, no 16,

2012, p. 107-110.

14. Grygiel M., Konopka K., Krupanek B., Roj J.: Zarządzanie pomiarami w systemie diagnostyki

cieplnej budynków (Management of measurements in heat system buildings diagnostics). Conf.

proc. “Comprehensive thermal diagnostics of buildings in situ”, Gliwice, 16.11.2012, CD ROM,

sesja4_3.pdf.

15. Cichy A., Roj J,: Applications of artificial neural networks in quasi - balanced measuring

circuits. 3rd

International Scientific Conference “Diagnostics of Electrical Machines and

Materials”, DESAM 2014, Papradno – Považská Bystrica (Slovak Republic) 19-20.06. 2014.

Books (Monographs, dissertations, academic textbooks)

1. Roj J.: Pomiar stężenia mieszanki palnej za pomocą mostka pelistorowego zasilanego impulsowo

(Measurement of the combustible mixture concentration using pulse supplied pellistor bridge).

Silesian University of Technology, Gliwice, November 3, 1998, Ph.D. thesis.

2. Jakubiec J. Roj J.: Pomiarowe przetwarzanie próbkujące (Measuring sample processing).

Academic textbook. Wydawnictwo Politechniki Śląskiej, Gliwice, 2000.

3. Bogacz R., Jakubiec J. (ed.), Kluger A., Roj J., Tokarski J.: Technika cyfrowa i

mikroprocesorowa w ćwiczeniach laboratoryjnych (Digital and microprocessor technique in

laboratory classes). Academic textbook. Wydawnictwo Politechniki Śląskiej, Gliwice 2006.

4. Bogacz R., Jakubiec J. (ed.), Roj J., Tokarski J.: Technika cyfrowa i mikroprocesorowa w

ćwiczeniach laboratoryjnych (Digital and microprocessor technique in laboratory classes).

Revised and enlarged edition, Academic textbook. Wydawnictwo Politechniki Śląskiej, Gliwice

2011.

5. Roj J.: Neuronowe odtwarzanie sygnałów pomiarowych (Neural reconstruction of measurement

signals). Wydawnictwo Politechniki Śląskiej, Gliwice 2013, 202 pages – habilitation monograph.

Citations

1. Citation according to the WoS list

6. Roj J., Cichy A.: Method of Measurement of Capacitance and Dielectric Loss Factor Using Artificial Neural

Networks, Measurement Science Review, Vol. 15, No. 3, 2015, p. 127-131. (50%). DOI: 10.1515/msr-2015-0019, not

yet included in ISI WoK.

Citation report:

The paper: Jakubiec, J.; Makowski, P.; Roj, J.: Error Model Application in Neural

Reconstruction of Nonlinear Sensor Input Signal". IEEE Transactions on

Instrumentation and Measurement, page(s): 649 - 656 Volume: 58, Issue: 3, March

2009, is cited in 7 papers (in 5 without self-citations).

The paper: Roj, J.: Neural network based real-time correction of transducer dynamic errors.

Measurement Science Review, Volume: 13 Issue: 6 Pages: 286-291 Published: 2013, is cited in 2 papers (in 2 without self-citations).

2. Citation according to the Scopus list

6. Roj J., Cichy A.: Method of Measurement of Capacitance and Dielectric Loss Factor Using Artificial Neural

Networks, Measurement Science Review, Vol. 15, No. 3, 2015, p. 127-131. (50%). DOI: 10.1515/msr-2015-0019, not

yet included in Scopus.

Citation report:

The paper: Jakubiec, J.; Makowski, P.; Roj, J.: Error Model Application in Neural Reconstruction of Nonlinear

Sensor Input Signal". IEEE Transactions on Instrumentation and Measurement, page(s): 649 - 656

Volume: 58, Issue: 3, March 2009, is cited in 9 papers (in 6 without self-citations).

The paper: Roj, J.: Neural network based real-time correction of transducer dynamic errors. Measurement

Science Review, Volume: 13 Issue: 6 Pages: 286-291 Published: 2013, is cited in 2 papers (in 2 without self-citations).

3. Citation according to the Google Scholar list

The paper: Jakubiec, J.; Makowski, P.; Roj, J.: Error Model Application in Neural Reconstruction of Nonlinear

Sensor Input Signal". IEEE Transactions on Instrumentation and Measurement, page(s): 649 - 656

Volume: 58, Issue: 3, March 2009, is cited in 11 papers (in 7 without self-citations).

The book: Jakubiec J. Roj J.: Pomiarowe przetwarzanie próbkujące (Measuring sample processing). Academic

textbook. Wydawnictwo Politechniki Śląskiej, Gliwice, 2000, is cited in 8 papers (in 5 without self-citations).

The paper: Jakubiec J, Makowski P., Roj J.: Sieć neuronowa jako element przetwornika próbkującego (Artificial

neural network as a part of the sampling transducer). Zeszyty Naukowe Pol. Śląskiej, Elektryka

(Scientific Papers of Silesian University of Technology, Electrics), z. 195, Gliwice 2005, p. 75-90, is cited in 4 papers (in 0 without self-citations).

The paper: Roj J: Neural network based real-time correction of transducer dynamic errors. Measurement Science

Review, Vol. 13, No. 6, 2013, p. 286-291,

is cited in 3 papers (in 3 without self-citations).

The paper: Jakubiec J., Roj J.: Model błędów sieci neuronowej jako ogniwa przetwarzania próbkującego (Error

model of the artificial neural network as a part of the sampling process). Pomiary Automatyka

Kontrola (Measurement Automation and Monitoring), no 7/8, 2002, p. 33-36,

is cited in 2 papers (in 0 without self-citations).

The paper: Jakubiec J, Makowski P., Roj J.: Neural reconstruction of nonlinear sensor input signal. IEEE

Instrumentation and Measurement Technology Conference–IMTC 2007, Warsaw, Poland, May 1-3,

2007, CD-ROM, p. 1-6, is cited in 2 paper (in 2 without self-citations).

The paper: Roj J.: Estimation of the artificial neural network uncertainty used for measurand reconstruction in a

sampling transducer, IET Science, Measurement & Technology, Vol. 8, Issue 1, 2014, p. 23-29, is cited in 1 paper (in 0 without self-citations).

The paper: Roj J.: Neural approximation of empirical functions, Acta Physica Polonica A, Vol. 124, No. 3, 2013,

p. 554-557, is cited in 1 paper (in 0 without self-citations).

4. Summary of the citations

List Citations H-index

(without

self-citations) All Without

self-citations

WoS 9 7 2

Scopus 11 8 2

Google

Scholar 32 17 3

Cooperation with Faculty of Electrical Engineering and Computer Science

- Agreement between VSB - Technical University of Ostrava and Silesian University of Technology

in Gliwice U1995_5,

- Erasmus + Programme Key Action 1 – Mobility for learners and staff – Higher Education Student

and Staff Mobility, Inter-institutional agreement 2014/15-2020/21 between programme countries,

cooperation in students exchange,

- Cooperation in Programme Council of Faculty of Electrical Engineering SUT Gliwice,

- Memorandum of Understanding between the Faculty of Electrical Engineering and Computer

Science, VSB - Technical University of Ostrava and the Department of Automatic Control,

Electronics and Computer Science and the Department of Electrical Engineering, Silesian

University of Technology. Signed June 25th

, 2015.

Copy of the Ph.D. Diploma

Děkan FEI VŠB-TU Ostrava navrhuje pro habilitační řízení Ing. Jerzy Roj, Ph.D. v oboru

Technická kybernetika komisi ve složení:

Předseda komise:

prof. Ing. Radim Briš, CSc., Fakulta elektrotechniky a informatiky, VŠB – TU Ostrava

Členové:

doc. Ing. Jiří Koziorek, Ph.D.,Fakulta elektrotechniky a informatiky, VŠB – TU Ostrava

prof. Ing. Vladimír Haasz, CSc, Fakulta elektrotechnická, ČVUT v Praze

prof. Ing. František Zezulka, CSc, Fakulta elektrotechniky a komunikačních technologií, VUT v Brně

doc. Ing. Pavel Vrba, Ph.D., Český institut informatiky, robotiky a kybernetiky , ČVUT v Praze

prof. RNDr. Václav Snášel, CSc.

děkan FEI VŠB – TUO

http://www.fei.vsb.cz/

http://www.fei.vsb.cz/

http://www.feec.vutbr.cz/

http://www.ciirc.cvut.cz/

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