Кафедра Метрології та технічної експертизи
м. Харків, пр. Науки, 14, корпус “Z”, 5-ий поверх, т. (057)702-13-31, E-mail: d_mme@nure.ua

Наукові публікації 2019 (Scopus, Web of Scince)

  • 1. Zakharov, I.P., Botsyura, O.A. Calculation of Expanded Uncertainty in Measurements Using the Kurtosis Method when Implementing a Bayesian Approach // Measurement Techniques, 2019, Volume: 62, Issue: 4, pp. 327-331 (Scopus, WOS).
  • 2. Боцюра О.А., Захаров І.П., Неєжмаков П.І. Основні положення Настанови з подання невизначеності вимірювань на основі байєсівського підходу // Український метрологічний журнал, 2019, №2, pp. 3-9 (WOS).
  • 3. Zakharov I., Botsiura O., Neyezhmakov P., Obtaining Uncertainty Estimates Compatible with Estimates of Monte Carlo Method // Measurement-2019: Proceedings of the 12th International Conference, Smolenice, Slovakia, 27-29 May 2019, p. 47-50 (Scopus).
  • 4. Zakharov I.P., Neyezhmakov P.I., BotsiuraO.A. Reduction of the bias of measurement uncertainty estimates with significant non-linearity of a model equation //JOINT IMEKO TC1-TC7-TC13-TC18 SYMPOSIUM 2019, 2-5 July 2019 (Scopus).
XVI Scientific Workshop Measurement uncertainty: scientific, normative, applied and methodical aspects (UM-2019) Sozopol, Bulgaria, 8 September 2019
  • 1. Semenets V. Computed Tomography Dataset Analysis for Stereotaxic Neurosurgery Navigation.
  • 2. Semenets V. On the Theory of a Pulse Microwave-Pumped Laser.
  • 3. Zakharov I., Neyezhmakov P., Botsiura O. Revision GUM: the Suggested Algorithm for Processing Measurement Results.
  • 4. Zakharov I., Serhiienko M. Adaptation of the Least Squares Methodfor Determination of Oscillating Type Measuring Devices Parameters with Using Gain-Frequency Characteristic.
  • 5. Zakharov I., Chunikhina T., Papchenko V. The Measurement Uncertainty Analysis of the Oil Concentration in the Sunflower Seed.
  • 6. Akmen V., Sorokina S., Serhiienko M. Assessment of the Uncertainty of Measurements under Determining the Temperature Parameters of Milk Proteins Coagulation.
  • 7. Degtiarov O., Alrawashdeh R. Development of the Theoretical Basis of Magnetic Measurement Uncertainty Evaluation.
  • 8. Zaporozhets O. and Shtefan N. Using Artificial Neural Network for Compensation of Semiconductor Thermistor Nonlinearity.
29th International Scientific Symposium “Metrology and metrological assurance 2019” (MMA-2019), Sozopol, Bulgaria, 6-10 September 2019
  • 1. Zakharov I., Serhiienko M. Determinition of gain-frequency characteristic parameters of the accelerometers by the area method // 29th International Scientific Symposium “Metrology and metrological assurance 2019” (MMA-2019), Sozopol, Bulgaria, 6-10 September 2019.
  • 2. Zakharov I., Botsiura O., Zadorozhna I. Measurement uncertainty evaluation at gauge block calibration // 29th International Scientific Symposium “Metrology and metrological assurance 2019” (MMA-2019), Sozopol, Bulgaria, 6-10 September 2019.
The Fourth International Conference on Information andTelecommunication Technologies and Radio Electronics (UkrMiCo’2019)Odessa, Ukraine, 09–13 September 2019
  • 1. Nikitenko O. Has a magnetron abnormal anode current?