For the space transport systems with a long uptime, consideration was given to the method of adaptive filtering in the problem of restoring the parameters of cosmic radiation flows from the measurement data. Proposed were a mathematical model and an algorithm for optimization of the nonstationary control systems whose state is measured against the noisy background. The algorithms of parametric optimization were based on a modified Wiener–Hopf equation and sensitivity functions.
The mathematical model of ionizing radiation monitor based on diamond detectors has been developed. Experimental studies of the monitor have been carried out. The model of the monitor has been verified and optimized using the results of these studies. The model is shown to provide for the estimation of the output data of the monitor accurate to better than 10%. The results obtained would be used in recovering the cosmic radiation spectra by the monitor output data.
Due to the complexity and large dimensions of the task of digital system design debugging decomposition by method of modeling as a whole, algebraic models of decomposition methods are proposed, namely, methods of vertical and horizontal structure decomposition, functional decomposition, decomposition based on error types. An algebraic model of the digital systems software is presented. The software is considered as a semi group of operators.
Systems to monitor asteroids and space debris to predict and help prevent space-linked emergency situations are still in their infancy and this article presents an overview of methods, technologies and software used in creating a data analysis system for monitoring potentially dangerous asteroids and man-made space debris. A description of the system structure and its functional components are given. The components discussed allow for automatic operational assessment of potential space-borne threats and a prediction of the aftermath should any such objects collide with Earth
This paper addresses the issue of designing control systems for parallel computing structures. Designing methodology described grounds on Petri nets to model computing systems of different dimensionality. Then a description of the Petri nets models (PN-models) vertex projection procedure, which allows constructing new models with differing structural and dynamical properties, is presented. Afterwards the existence of scale system that enables us to compare different PN-models quantitatively is demonstrated. And a comparison criteria for structural and dynamical properties of PN-models is proposed.
A diamond-based single-element ultraviolet potodetector that may be used in spectrophotometric equipment is developed. The characteristics of the spectral sensitivity of the detector as a function of tha appllied voltage are presented. The capabilities gained from the used of similar devices for systems used in the analysis of the composition of multicomponent mixture are considered.
We demonstrate that classical quadratic forms are not able to solve the problem of recognizing highdimensional images. The "deep" GalushkinHinton neural networks can solve the problem of highdimensional image recognition, but their training has exponential computational complexity. It is technically impossible to train and retrain a "deep" neural network rapidly. For mobile "artificial nose" systems we proposed to employ a number of "wide" neural networks trained in accordance with (GOST R 52633.52011). This standardized learning algorithm has a linear computational complexity, i.e. for each new smell image a time of about 0.3 seconds is sufficient for creating and training a new neural network with 2024 inputs and 256 outputs. This leads to the possibility of the rapid training of the artificial intelligence "artificial nose" and a gradual expansion of its database consisting of 10 000 or more trained artificial neural networks.
This paper contains a description of methods and software tools for creation of the information-analytical system for monitoring hazardous space objects. The paper presents the structure of the system and a description of its functional components thet enable rapid assessment of the NEO hazard and forecast of the effects of dengerous celestial bodies colliding with the Earth. The results of the system's operation regarding the modeling the motion of spact objects are also included in this work.
A mathematical model is developed for a multichannel sensor unit based on diamond detectors in a device for monitoring the parameters of cosmic ray fluxes. The output signals from these sensors are modelled as they detect ionizing radiation from outer space in different spacecraft orbits with various levels of solar activity.
A mathematical model is developed for a multichannel sensor unit based on diamond detectors in a device for monitoring the parameters of cosmic ray ﬂ uxes. The output signals from these sensors are modelled as they detect ionizing radiation from outer space in different spacecraft orbits with various levels of solar activity.
This paper proposes an approach to k-bounded Petri nets behavioral equivalence checking using the model checking method and mainstream verifier nuSMV. For the comparison of behavior of two nets, an add-in net is introduced which performs a supervisory control of these two nets. The approach uses an implicit word-to-word comparison of labeled Petri net languages with invisible transitions when computing CTL temporal logic formulas. The technique of Petri nets equivalence checking in SMV is briefly discussed followed by a simple case study.
In this work we study influence of various factors on stability of ionizing radiation detectors installed in the cosmic ray spectrometer (SCR) based on diamond detectors of ionization radiation (DDIR). Diamond detectors for SCR are made of single crystals of synthetic diamond type IIa. Diamond detectors were studied successively in three different experiments. Checking detector stability with ambient temperature increased up to 70 degrees Celsius was the first experiment. At next we change the geometry of detector irradiation by rotating nuclear source around it and measuring changes in detector count rate. And last one experiment was about checking the phenomenon of polarization by prolonged detector irradiation by ionizing radiation of various types and energies. The study revealed the presence of the strong influence of the polarization effect on the work of diamond detectors for registration of ionizing particles with short mean free path (in our experiment they were the alfa-particles of 238Pu). In this work correspondence of the experimental results of the "rotation" the source around the detector with the data obtained by simulation in GEANT-4 was shown.
The review highlights the parameters of multilayer diamond detector for monitoring space radiation based on CVD diamond technique. The paper specifies the results of measuring charge output spectrum of single and double layer diamond detectors. Diamond detector serves to on-board radiation monitoring systems of spacecraft having lifetime increase in up to 20?25 years. The use of a diamond detector multi-layer structure makes it possible to enhance the amplitude of charge output spectrum, to expand the detector dynamic range, as well as to improve the accuracy and information content of radiation monitoring systems.
The article describes the device for selective registration of electrons, protons and heavy ions fluxes from the solar and galactic cosmic rays in the twelve energy ranges, built on a base of diamond detector. The use of the diamond detectors allowed for the creation a device for registration of cosmic particles fluxes at the external spacecraft surface with the resource not less than 20 years. Selective detector is aimed for continuous monitoring of radiation situation on board the spacecrafts, in order to predict the residual life of their work and prompt measures to actively protect the spacecraft when the flow of cosmic particles is sharply increased.
the hydrocarbic pollution of wastewater is inevitable in industry and transport operation. The ensuring of control the degree of water pollution is necessary for the solution of ecological problems. Control can be achieved at the expense of measuring the optical dencity of water samples. in this paper , we describe a device of flowing fiuid optical dencity meter, developed by us on the basis of diamond UV photodetector and non-monochromatic source of UV radiation.
Ensuring effective control instrument, development of new methods and improving the accuracy of geophysical instrumentation devices used in exploration of mineral resources is one of the important problems in the mining industry. This paper discusses current research and options for optimizing the electrical and structural parameters monitoring devices neutron yield borehole neutron generator for the respective systems of neutron-neutron logging, for which we have developed and successfully used diamond detectors. Further expansion of the applications of diamond materials in new areas of the economy, especially in instrumentation, will ensure a more rational and efficient use of natural resources. The results of the research staff monitor devices for monitoring the neutron yield borehole neutron generator systems for neutron-neutron logging including for replacement to the original diamond detectors domestic production. - investigation of the influence of environmental parameters on the downhole tool (diamond detector temperature stability in a temperature range of from 20 to 140 ° C). - Research linearity of conversion of fast neutrons to monitor the complex by measuring the deviation of the output signal amplitude in the temperature range from 20 to 140 ° C.
It is shown that the calculation of the expectations, standard deviations and coefficients of correlation gives significant errors when using small samples. Error calculating the correlation coefficient is significantly greater than the error calculation of the mathematical expectation and standard deviation. The cause of the error is quantized continuum source data through their representation of a small sample. We give the appearance probability distribution plots of quantization errors and errors arising in the calculation of the correlation coefficient in small samples. These values indicate the presence of significant methodological errors that arise when measuring the correlation coefficients. For small samples of systematic error is significant, but it decreases rapidly with an increase in volume of the test sample. It is proposed to correct systematic error in the additive and/or multiplicative form.