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Issue 1 (191), article 1

DOI:https://doi.org/10.15407/kvt191.01.005

Kibern. vyčisl. teh., 2018, Issue 1 (191), pp.

Surovtsev I.V., Dr (Engineering), Senior Researcher
Department of ecological digital systems
e-mail: dep175@irtc.org.ua , igorsur52@gmail.com
Galimov S.K., Postgraduate Student
Department of ecological digital systems
e-mail: dep175@irtc.org.ua
Tatarinov O.E., Researcher
Department of ecological digital systems
e-mail: dep175@irtc.org.ua
International Research and Training Center for Information Technologies
and Systems of the National Academy of Sciences of Ukraine
and Ministry of Education and Science of Ukraine,
Acad. Glushkov av., 40, Kiev, 03187, Ukraine

INFORMATION TECHNOLOGY FOR DETERMINING THE CONCENTRATION OF TOXIC ELEMENTS IN ENVIRONMENTAL OBJECTS

Introduction. Insufficient sensitivity of the existing systems of measuring low concentrations of chemical elements during the implementation of quality control of drinking water, food products and other natural objects, as well as the lack of necessary means for digital processing of weak signals of complex form, leads to the task of developing an effective information technology for determining the concentration of toxic elements.
The purpose of the article is to develop tools for information technology for determining the concentration of toxic elements. New methods of impulse inversion chronopotentiometry and ionometry to increase the sensitivity, reliability and functionality of the concentration measurement are used.
Methods. Transformation of data structure of the multi-component processes and new methods of a filtration and smoothing which are based on use of points of extremum and inflexion are applied at performance of digital processing of measurement signals. The transformation allows us to consider monotonically increasing signals of inversion as a linear sum of components, which are described by non symmetric functions of normal distribution. The received signal is simulated by solving the parametric identification problem in the class of one-dimensional regression models.
Results. The developed highly sensitive analytical system “Analyzer ICP” implements the created information technology. The system determines the mass concentration of 14 toxic elements (mercury, arsenic, lead, cadmium, zinc, copper, tin, nickel, cobalt, iron, manganese, selenium, iodine and chromium) with a sensitivity of up to 0.05 μg/dm3 (50 ppt) and six chemical elements (potassium, sodium, calcium, fluorine, ammonium and nitrates) in the range of 103 μg/dm3 to 6·107 μg/dm3 using ion-selective electrodes.
Conclusion. Information technology has an universal character, created tools can be used to analyze signals of various physical natures, in which the values are monotonically increasing or decreasing.

Keywords: transformation of the data structure, impulse chronopotentiometry, modelling, digital processing, information technolog.

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REFERENCES

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8 Surovtsev I.V., Galimova V.M., Mank V.V., Kopilevich V.A. Determination of heavy metals in aqueous ecosystems by the method of inversion chronopotentiometry. J. of water chem. and texnology. 2009. Vol. 31, No 6. P. 389–395.

9 Galimova V.M., Surovtsev I.V., Kopilevich V.A. Determination of Arsenic in the Water Using the Method of Inversion Chronopotentiometry. J. of water chem. and texnology. 2012. Vol. 34, No 6. P. 284–287.

10 Galimova V.M., Surovtsev I.V., Kopilevich V.A. Inversion-chronopotentiometric analysis of mercury in water. J. of water chem. and texnology. 2013. Vol. 35, No 5. P. 210–214.

11 Kopilevich V.A., Surovtsev I.V., Galimova V.M. Inversion-chronopotentiometry analysis of micro quantities of nickel and cobalt in the water. J. of water chem. and texnology. 2015. Vol.37, No 5. P. 248–252.

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18 Vasil’yev V.I., Surovtsev I.V. Inductive methods for detecting regularities, based on the theory of reduction. USiM. 1998. No. 5. P. 3–14 (in Russian).

19 Vasil’yev V.I., Surovtsev I.V. Practical aspects of the theory of reduction in problems of detection and modelling of regularities. USiM. 2001. No. 1. P. 6–15 (in Russian).

20 Finezilberg L.S. Information technologies for processing complex-shaped signals. Theory and practice. Kiev: Naukova dumka, 2008. 333 p. (in Russian).

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23 Device for simulation of nonlinear models of physical objects: pat. 98987, Ukraine: IPC (2006) G05B 17/00, G06G 7/48. No a201008508; claimed 07.07.10; published 10.07.12, Bull. No 13. 3 p. (in Ukrainian).

24 Babak O.V., Surovtsev I.V., A.E. Tatarinov On the purposefulness of the search of variants models in the modelling of physical processes. USiM. 2012. No. 1. P. 3–7.

25 Surovtsev I.V. Transformation of data structure in determining the concentration by methods of inversion chronopotentiometry. KiVT. 2015. No. 180. P. 4–14 (in Russian).

26 Surovtsev I.V. Method of digital filtration of electrochemical signals in chronopotentiometry. KiVT. 2015. No. 182. P. 4–14 (in Russian).

27 Method for histogram digital filtration of chrono-potentiometric data: pat. 96367, Ukraine: IPC (2006) G01N 27/48. No a201005608; claimed 11.05.10; published 25.10.11, Bull. No 20. 8 p. (in Ukrainian).

28 Surovtsev I.V. Histogram method for electrochemical signal filtration. Naukovo-tekhnichna informatsiya. 2016. No. 1. P. 49–54 (in Ukrainian).

29 Inventor’s certificate 845600 USSR. Method for determining the spectrum of an analog signal / Skurikhin V.I., Ponomareva I.D., Siversky P.M., Tsepkov G.V.; published 07.07.1981 (in Russian).

30 Ponomareva I.D., Tsepkov G.V. Ultrafast Spectral Analysis. Probl. upravleniya i informatiki. 1998. No. 1. P. 107–114 (in Russian).

31 Ponomareva I.D., Surovtsev I.V. Mathematical modelling of the inertial process, which experiences a periodic perturbing effect. Probl. Bionics. 1987. Iss. 42. P. 111–114 (in Russian).

32 Surovtsev I.V The method of adaptive smoothing of electrochemical signals in chronopotentiometry. USiM. 2015. No. 5. P. 79–83 (in Russian).

33 Surovtsev I.V., Tatarinov A.E., Galimov S.K. The modelling of the Differential Chronopotentiograms by the Sum of Normal Distributions. USiM. 2009. No. 5. P. 40–45 (in Russian).

34 Babak O.V., Surovtsev I.V., Tatarinov A.E. Modelling of the inversion-chronopotentiometric process of measuring the mass concentration of a single heavy metal. USiM. 2012. No. 5. P. 88–92 (in Russian).

35 Tatarinov A.E., Surovtsev I.V., Babak O.V. Modelling of the inversion-chronopotentiometric process of joint measurement of the mass concentration of two heavy metals. USiM. 2013. No. 5. P. 84–87 (in Russian).

36 Tatarinov A.E., Galimov S.K., Surovtsev I.V., Babak O.V. Estimation of the quality of the modelling of the latent fragment of the differential graph of the chronopotentiogram of the inversion of heavy metals in the liquid sample of the polarograph. USiM. 2014. No. 2. P. 10–13 (in Russian).

37 Surovtsev I.V. Modelling of multicomponent signals in chronopotentiometry. KiVT. 2016. No. 185. P. 5–21 (in Russian).

38 Kaplan B.Ya. Impulse Polarography. Moscow: Khimiya, 1978. 239 p. (in Russian).

39 Surovtsev I.V., Tatarinov A.E. Information technology for measuring the concentration of chemical elements by the method of impulse chronopotentiometry. Automatics-2005. Khar’kov: KhPI, 2005. Vol. 1. P. 42–45 (in Russian).

40 Tatarinov A.E., Surovtsev I.V. Using the methods of impulse chronopotentiometry in measuring the concentration of heavy metals. Vesnik VPI. 2006. No. 6 (69). P. 101–105 (in Russian).

41 Device for measurement of concentration of heavy metals: pat. 96375, Ukraine: IPC (2006) G01N 27/48. No a201006798; claimed 02.06.10; published 25.10.11, Bull. No 20. 6 p. (in Ukrainian).

42 Device for measuring the concentration of toxic elements: pat. 107412, Ukraine: IPC (2006) G01N 27/48. No a201306295; claimed 21.05.13; published 25.12.14, Bull. No 24. 4 p. (in Ukrainian).

43 Analog-digital electro-chemical device for measurement of parameters of solutions: pat. 104062, Ukraine: IPC (2006) G01N 27/48. No a201206459; claimed 28.05.12; published 25.12.13, Bull. No 24. 5 p. (in Ukrainian).

44 Device for measuring parameters of aqueous solutions: pat. 111689, Ukraine: IPC (2006) G01N 27/48. No a201505019; claimed 22.05.15; published 25.05.16, Bull. No 10. 6 p.(in Ukrainian).

45 Surovtsev I.V., Galimov S.K. The algorithm for processing the data of concentration measurement using the chrono-ionometry method. USiM. 2016. No. 2. P. 85–91 (in Russian).

46 Surovtsev I.V., Babak O.V., Tatarinov O.E., Surovtseva T.V. Hardware and software complex “Analyzer ICP” for measuring the mass concentration of toxic elements. Nauka ta innovatsiyi, 2011. Vol. 7. No. 3. P. 45–46 (in Ukrainian).

47 Surovtsev I.V., Tatarinov O.E., Galimov S.K. Device of Inversion Chronopotentiometry for Determining the Concentration of Heavy Metals and Toxic Elements in Water. Bezpeka zhyttyediyal’nosti. 2013. No. 12. P. 37–40 (in Ukrainian).

48 Method for determinating iron in aqueous solutions: pat. 110752, Ukraine: IPC (2006) G01N 27/48, G01N 33/18, G01N 33/20, G01N 49/00. No a201413328; claimed 12.12.14; published 10.02.16, Bull. No 3. 3 p. (in Ukrainian).

49 Method for the determination of chrome in aqueous solutions: pat. 110893, Ukraine: IPC (2006) G01N 27/48, G01N 33/18, G01N 33/20, C01G 37/00. No a201412936; claimed 03.12.14; published 25.02.16, Bull. No 4. 4 p. (in Ukrainian).

50 Method for iodine determination in aqueous solutions: pat. 111040, Ukraine: IPC (2006) G01N 27/48, G01N 33/18, G01N 33/20, C01B 7/14. No a201501610; claimed 24.02.15; published 10.03.16, Bull. No 5. 4 p. (in Ukrainian).

51 Chronopotentiometric method for determining selenium in water solutions: patent 110744, Ukraine: IPC (2006) G01N 27/48, G01N 33/18, G01N 33/20, C01B 19/00. No No a201408492; claimed 25.07.14; published 10.02.16, Bull. No 3. 4 p. (in Ukrainian).

52 Chronopotentiometric method for the determination manganese in aqueous solutions: pat. 111000, Ukraine: IPC (2006) G01N 27/48, G01N 33/18, G01N 33/20, C01G 45/00. No a201406570; claimed 12.06.14; published 10.03.16, Bull. No 5. 4 p. (in Ukrainian).

53 Method of determination of calcium in aqueous solutions: pat. 113126, Ukraine: IPC (2006) G01N 27/48, G01N 27/49, G01N 33/18, G01N 33/20, C01F 11/00. No a201511155; claimed 13.11.15; published 12.12.16, Bull. No 23. 4 p. (in Ukrainian).

54 Method of determination of sodium in aqueous solutions: pat. 113248, Ukraine: IPC. (2006) G01N 27/48, G01N 27/49, G01N 33/18, G01N 33/20, C01D 13/00.No a201511153; claimed 13.11.15; published 26.12.16, Bull. No 24. 3 p.(in Ukrainian).

55 Method of determining potassium in aqueous solutions: pat. 113356, Ukraine: IPC. (2006) G01N 27/48, G01N 27/49, G01N 33/18, G01N 33/20, C01D 13/00. No a201511153; claimed 13.11.15; published 10.01.17, Bull. No 1. 4 p. (in Ukrainian).

56 Kopilevich V.A., Surovtsev I.V., Galimova V.M., Cossack K.G. Measurement procedure of the mass concentration of mercury, arsenic, nickel and cobalt in water by the inverse chronopotentiometry method: MVV 081/36-0762-11. Kyiv: Nats. un-t biotekhn. i pryrodokorystuvannya, 2011. 23 p. (in Ukrainian).

57 Kopilevich V.A., Surovtsev I.V., Galimova V.M., Cossack K.G. Measurement procedure of the mass concentration of lead, copper, zinc, and cadmium in water by the method of inversion chronopotentiometry: MVV 081/36-0790-11. Kyiv: Nats. un-t biotekhn. i pryrodokorystuvannya, 2011. 21 p. (in Ukrainian).

58 Kopilevich V.A., Surovtsev I.V., Galimova V.M., Cossack K.G. Measurement procedure of the mass concentration of moving forms of heavy metals and toxic elements (Pb, Cu, Zn, Cd, Hg, As, Ni, Co) in soils by the inverse chronopotentiometry method: MVV 081/36-0833-12. Kyiv: Nats. un-t biotekhn. i pryrodokorystuvannya, 2012. 26 p. (in Ukrainian).

59 Kopilevich V.A., Surovtsev I.V., Galimova V.M., Cossack K.G. Measurement procedure of the mass concentration of toxic elements (Se, Mn, Cr, I, Fe) in water by the method of inversion chronopotentiometry: MVV 081/36-0935-14. Kyiv: Nats. un-t biotekhn. i pryrodokorystuvannya, 2014. 25p. (in Ukrainian).

60 Kopilevich V.A., Surovtsev I.V., Galimova V.M. Measurement procedure of the mass concentration of potassium, sodium and calcium in water by chronopotentiometric ionometry method: MVB 081/36-1012-2015. Kyiv: Nats. un-t biotekhn. i pryrodokorystuvannya, 2015. 16 p. (in Ukrainian).

Received 12.12.2017

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Issue 185, article 2

DOI:https://doi.org/10.15407/kvt185.03.005

KVT, 2016, Issue 185, pp.5-20

UDC 004.021:004.94

MODELLING OF MULTI-COMPONENT SIGNALS IN A CHRONOPOTENTIOMETRY

Surovtsev I.V.

International Research and Training Center for Information Technologies and Systems of National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Kiev, Ukraine

igorsur52@gmail.com

Introduction. In the inversion chronopotentiometry a differential reverse signal of inversion is considered as linear sum of components measuring that are located on the base curve of the lower envelope. The signal is similar to the spectrum of components after its subtracting and can be analyzed by the chromatographic methods or spectroscopic analysis.

The purpose of the article is to develop a method of modelling multi-component signals, provided that the spectra is spaced apart and the overlap of the spectral components is small.

Methods. Preliminary determination of the parameters of the approximation of the individual spectral components and the base curve is performed. An iterative model of the multi-component signal is sought in the form of generalized polynomial of linearly independent functions by least squares method. At a negative value approximation coefficient corresponding spectral component is considered to be erroneous or not.

Results. In the given example the use of the modelling method has allowed to reduce relative error in determining the concentration of copper from 18,9% to 1,5%, compared to the conventional analysis.

Conclusion. The proposed method of modelling and algorithms of its implementation allow eliminating the subjective factor that is associated with the experience and skills of chemist-analyst when selecting boundaries of turndown component that allows increasing the accuracy, repeatability and reliability of determining the concentration of chemical elements.

Keywords: modelling, algorithm, spectrum, chronopotentiometry.

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Reference

1 ZakharovM.S., Bakanov V.I., Pnev V.V. Chronopotentiometry. M.: Chemistry, 1978, 199 p. (in Russian).

2 Surovtsev I.V. Transformation of data structure in determining the concentration by methods of inversion chronopotentiometry. Kibernetika i vycislitel’naa tehnika, 2015, No 180, pp.4–14 (in Russian).

3 Heyrovsky J, Kuta J. Fundamentals of polarography. M.: Mir, 1965, 559 p. (in Russian).

4 Karnaukhov A.I., Grynevych V.V., Skobets E.M. Differential variant of inversion chronopotentiometry with a given resistance in oxidative circuit. Ukrainian chemical journal, 1973, No 39, pp. 710–714 (in Ukrainian).

5 Britz D. Digital Simulation in Electrochemistry. Springer, Berlin Heidelberg, 2005, 338 p. https://doi.org/10.1007/b97996

6 Model 600C Series Electrochemical Analyzer/Workstation. User’s Manual/CH Instruments, Inc. Available at: http://www.chinstruments.com/chi600.shtml.

7 Surovtsev I.V., Tatarinov A.E., Galimov S.K. The modeling of the Differential Chronopotentiograms by the Sum of Normal Distributions. Control System and Computers, 2009, No 5, pp. 40–45 (in Russian).

8 Lebedev A.T. Comprehensive environmental mass spectrometry. ILM Publications, London, UK, 2012, 510 p.

9 Budde W.L. Analytical mass spectrometry. Strategies for environmental and related applications. Oxford university Press, 2001, 386 p.

10 LECO. Available at: http://www.davinci-ls.com/en/products/systems-software/gc-ms/186-leco-chromatof-software.html.

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12 Enke C.G. [et al]. Time-compressed chromatography in mass spectrometry. Patent 5,175,430 U.S., Dec.29, 1992.

13 Scholkmann F., Boss J., Wolf M. An efficient algorithm for automatic peak detection in noisy periodic and quasi-periodic signals. Algorithms, 2012, No 5, pp.588-603. https://doi.org/10.3390/a5040588

14 Fredriksson M. Efficient algorithms for highly automated evaluation of liquid chromatography – mass spectrometry data. Department of Natural Sciences, Engineering and Mathematics Mid Sweden University, 2010, Available at: https://www.diva-portal.org/smash/get/diva2: 387684/FULLTEXT01.pdf.

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Received 14.06.2016

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Issue 182, article 1

DOI:https://doi.org/10.15407/kvt182.02.004

Kibern. vyčisl. teh., 2015, Issue 182, pp.

Surovtsev I.V.

International Research and Training Center for Information Technologies and Systems of National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine

THE METHOD OF DIGITAL FILTERING OF ELECTROCHEMICAL SIGNALS IN THE CHRONOPOTENTIOMETRY

Introduction. It is important to use methods of digital filtration of signals, that do not distort the form of signal and use its internal characteristics, such as points of extrema for systems of measuring the concentration of toxic elements in chronopotentiometry.
The purpose of research is to create a method digital filtering by using extrema points for performing high-frequency treatment of different types of electrochemical signals while maintaining the shape of the useful signal which increases monotonically.
Methods. The method of digital filtering is based on using of the method of determining the spectrum of the analog signal by points of extrema.
Results. Created method of high-frequency filtration of electrochemical signals has reduced errors in determining the concentration, since it does not distort the form of the useful signal and does not lead to a blurring of the boundaries of the components of measurement of elements. The method is actively used in existing devices measuring the concentration toxic elements in the systems of dynamic axle-by-axle weighting of automobiles and continuous dosing, as well as in many other technical systems of measurement.
Conclusion. The proposed method of digital filtering has substantially universal character and can be used for preliminary digital processing of very different physical or chemical signals.
Keywords: digital filtering, extrema points of signal, chronopotentiometry.

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References

  1. Surovtsev I.V., Galimov S.K., Martynov I.A., Babak O.V., Galimova V.M. Device for measurement of concentration of toxic elements. Patent 107412 Ukraine, Int.C1. (2006) G01N 27/48, 2014 (in Ukrainian).
  2. Surovtsev I.V., Tatarinov A.E., Galimov S.K. The modeling of the Differential Chronopotentiograms by the Sum of Normal Distributions//Control System and Computers — 2009. — №. 5. — pp.40–45 (in Russian).
  3. Oppenheim A.V., Schafer R.W. Discrete-Time Signal Processing — NJ: Prentige-Hall, 1999. — 860 p.
  4. Fainzilberg L.S. Information technologies of signal processing complex form. Theory and practice — Kiev: Naukova dumka, 2008 — 333 p. (in Russian).
  5. Zadiraka V.K., Melnikova S.S. Digital signal processing — Kiev: Naukova dumka, 1993. — 294 p. (in Russian).
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  7. Skurykhin V.I., Ponomareva I.D., Siverskij P.M., Tsepkov G.V. Method of determining the spectrum of the analogue signal. Patent 845600 SSSR, 1981 (in Russian).
  8. Tsepkov G.V. Methods of data compression for quick spectrum and correlation transformations//Visnyk Shidnoukrains’kogo nacional’nogo universytetu im. V.Dalja — 2013. — № 15 (204). — pp. 222–229 (in Russian).
  9. Surovtsev I.V., Martynov I.A., Galimova V.M., Babak O.V. Device for measurement of concentration of heavy metals. Patent 96375 Ukraine, Int.C1. (2006) G01N 27/48, 2011 (in Ukrainian).
  10. Surovtsev I.V., Kopilevych V.A., Galimova V.M., Martynov I.A., Babak O.V. Analogdigital electro-chemical device for measurement of parameters of solutions. Patent 104062 Ukraine, Int.C1. (2006) G01N 27/48, 2013 (in Ukrainian).
  11. Surovtsev I.V., Babak O.V., Tatarinov O.E., Kryzhanovskyi Y.A. System for axle-by-axle weighing on platform scales. Patent 106013 Ukraine, Int.C1. (2006) G01G 19/02, 2014 (in Ukrainian).

Received 06.07.2015

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ISSUE 180, article 1

DOI:https://doi.org/10.15407/kvt180.02.004

Kibern. vyčisl. teh., 2015, Issue 179, pp 4-14.

Surovtsev Igor V., PhD (Engineering), Senior Researcher of System Modeling Department of International Research and Training Center for Information Technologies and Systems of National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, av. Acad. Glushkova, 40, Kiev, 03187, Ukraine, e-mail: igorsur52@gmail.com

TRANSFORMATION OF DATA STRUCTURE IN DETERMINING THE CONCENTRATION BY METHODS OF INVERSION CHRONOPOTENTIOMETRY

Introduction. The complexity of direct measurement of the inversion time for the original signal in determining the concentration of toxic elements by inversion chronopotentiometry in the sample solution was not possible to determine its less than 0.1 mkg/ml.

Purpose. Necessary to create information technology of measurement the concentration of toxic elements in liquid tests of objects surrounding by methods of inversion chronopotentiometry, which let possibility essentially to increase sensitiveness and reliability in determent of the concentration.

Results. Using work out of information technology determining the concentration of toxic elements in liquid tests of inversion chronopotentiometry in apparatus the analyzer allow to increase until 14 elements, to increase sensitiveness until 0,0001 mkg/ml and to improve repetition of measurements the concentration.

Conclusion. Information technology has a universal character and can be applied for the analysis of signals of different nature, in which the values are monotonically increasing or decreasing.

Keywords: transformation of the data structure, methods of inversion chronopotentiometry, modeling, information technology.

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References

  1. Karnaukhov A.I., Grynevych V.V., Skobets E.M. Differential variant of inversion chronopotentiometry with a given resistance in oxidative circuit. Ukrainian chemical journal, 1973, no. 39, pp. 710–714 (in Ukrainian).
  2. Karnaukhov A.I., Galimova V.M., Galimov K.R. Theory inversion chronopotentiometry with a given resistance of circuit. Scientific Visnyk of NAU, 2000, no. 32, pp. 204–209 (in Ukrainian).
  3. Galimov K.R., Lavrynenko V.I., Serebryannikov J.L., Tsepkov G.V. The device for pretreating polarograms. Patent 1407241 USSR: Int.C1. G01N27/26, 1988 (in Russian).
  4. Vasilyev V.I. Induction and reduction in problems of extrapolation. Cybernetics and Computer Engineering, 1998, no. 116, pp. 65–81(in Russian).
  5. Vasilyev V.I., Surovtsev I.V. Practical aspects of the theory of reduction in problems of detection and modelling regularities. Control System and Computers, 2001, no. 1, pp.6–15 (in Russian).
  6. Surovtsev I.V., Galimova V.M., Babak O.V. Method for histogram digital filtration of chrono-potentiometric data. Patent 96367 Ukraine, Int.C1. (2006) G01N 27/48, 2011 (in Ukrainian).
  7. Surovtsev I.V., Tatarinov A.E., Galimov S.K. The modeling of the Differential Chronopotentiograms by the Sum of Normal Distributions. Control System and Computers, 2009, no. 5, pp.40–45 (in Russian).
  8. Surovtsev I.V., Martynov I.A., Galimova V.M., Babak O.V. Device for measurement of concentration of heavy metals. Patent 96375 Ukraine, Int.C1. (2006) G01N 27/48, 2011 (in Ukrainian).
  9. Surovtsev I.V., Kopilevych V.A., Galimova V.M., Martynov I.A., Babak O.V. Analog-digital electro-chemical device for measurement of parameters of solutions. Patent 104062 Ukraine, Int.C1. (2006) G01N 27/48, 2013 (in Ukrainian).
  10. Surovtsev I.V., Galimov S.K., Martynov I.A., Babak O.V., Galimova V.M. Device for measurement of concentration of toxic elements. Patent 107412 Ukraine, Int.C1. (2006) G01N 27/48, 2014 (in Ukrainian).
  11. Surovtsev I.V., Babak O.V., Tatarinov O.E., Kryzhanovskyi Y.A. System for axle-by-axle weighing on platform scales. Patent 106013 Ukraine, Int.C1. (2006) G01G 19/02, 2014 (in Ukrainian).

Received 03.03.2015