The specific of metrological support for different types of dosemeters are considered. Gamma-ray sensors are commonly used for measuring radiation doses as also the fluid levels in the industry. Typically, the 60Co or 137Cs isotopes as the radiation source are applied. For instance, in the USA, such detectors are beginning to be used as part of the Container Security Initiative [1]. Problems of their metrological assurance are becoming more general.


The article deals with the development of the reference means of support and metrological insurance required for  metrological  verification  and  calibration  of  beta  and  gamma  radiation  dosimeters.  The  latter  are  extremely  necessary  for dosimetric measurements of radiation characteristics in the field of radiation safety, radiation diagnosis and therapy.

Методи спектроскопії та обробка даних спектрального аналізу

This article provides an analysis of modern methods of spectroscopy in medicine, examined their classification. Conducted a review of portable spectroscopic systems, analysis of the advantages and disadvantages of their use. Analysis of components for spectroscopic analysis. Review of methods of the spectrum classification. Brought a conceptual diagram of processing the received data and its classification. Review of applications portable spectroscopic systems.

Data classification of spectrum analysis using neural network

This article provides the comparison of libraries neural networks. Based on this analysis was determined to develop a neural network for classification of spectra based on Encog library, because it implemented many components and gives the best result with a small number of items for training. Showed the architecture of neural networks for data classification of spectral analysis.

Volterra series for Hodgkin-Huxley and Fitzhugh-Nagumo neuron models

The peculiarity of Volterra series use as to comparison with classical models of nonlinear dynamical systems in the form of nonlinear differential equations is that Volterra series directly evaluates output signal of the system by multidimensional convolution of input signal. Kernels of Volterra series can be considered as generalization of impulse response of linear systems to nonlinear ones. The choice of certain components of Volterra series enables to take into account nonlinear peculiarities of different orders.