The Forced Invariance Method (FIM) is a vegetation suppression algorithm for multispectral images which is of great interest since it uses statistics collected only from the pixels of the image itself. Due to this a priori spectral characteristics of the captured objects are not required. For using the FIM or its modification in practice it is necessary to have some way to evaluate algorithm efficiency in order to analyze the results of experiments. This paper presents the method designed to solve this problem. Presumably, it is suitable for evaluating various algorithms, such as those designed to suppress vegetation. The proposed method is based on the idea of comparing a processed image with its standard using the similarity measure.

The scope of this research is the prediction of a cast billet surface temperature, which it will have in the rolling mill after the heating process. The main problem is that such a prediction is needed before the cast billet will really leave the furnace. In many cases, the boundary value problem of the heat transfer, particularly the differential equations of the transient heat conduction, is used to solve this problem. But in this research an alternative data-driven approach is proposed, which is based on a model of the dependence of the billet temperature on the retrospection of its heating in the continuous furnace. Such a model is developed as a result of the analysis of the data from the furnace control system. Such data from the real furnace were collected and stored in the data warehouse. Their exploratory analysis was conducted. All data were splitted into training, testing and validation subsets. As a part of this research, the regression model previously developed by the authors was also validated. It seemed to be overfitted (the error on the test set was significantly higher than the one on the training set). To overcome this disadvantage, an alternative method to develop the required data-based model is proposed by authors on the basis of the Boosting and Bagging algorithms. They belong to the machine learning field. As a result of the experiments with the bagging and boosting, the required model structure was chosen as a “Random Forest” with special class of the regression trees known as DART (Dropout Adaptive Regression Trees). Based on a significant number of experiments with that model, the two confidence intervals of the temperature prediction were found: 68 % and 95 % ones. The mean value of the temperature prediction error was estimated as ~ 9 °C for both the test and validation sets.

Priority is given to ensure safety and efficiency of technological processes in hazardous industries, especially in mining operations. Such factories utilize enormous amount of safety sensors. Triggering any one of them stops operations both locally and globally. For example, a single belt conveyor is fitted with up to a hundred sensors and reaches few kilometers length. It is very important to quickly localize a position of a triggered safety sensor to proceed with elimination of an accident. The purpose of this work is to create a hardware-software monitoring system of extended objects (f.e. belt conveyor), which detects a triggering of a two-wire safety line. According to the purpose of this work the following were developed and tested: a physical control model that replicates the triggering of safety sensors, a hardware architecture of monitoring system, a mathematical model of separate nodes of devices, electrical schematics, and a device prototype. A function algorithms and software architectures for each device were developed and tested. As a result an experimental system prototype was developed with accordance to the rules of hazardous environment. On a basis of a monitoring system and a physical control model a simulation bench was developed. By results of concluded experiments following system specifications were deducted: safety sensor triggering detection in less than 100 ms, an address definition from 1 up to 3 simultaneously triggered safety sensors, definition of the type of accident. Created monitoring system may be used to control a variety of industrial extended objects, in particular in gas- and dust-hazardous environment, using discrete safety sensors.

The basic formulae for calculating the moving long wave energy were derived and presented. The problems related to the energy counting in the course of numerical modeling of tsunami wave generation and propagation. Through a number of computational experiments, the wave energy radiation directivity of tsunami generated by an ellipsoidal source with a various axis length ratio was studied. The wave energy radiation directivity of the dipole tsunami source consisting of two ellipsoidal sources with opposite sign of the water surface displacement is considered.

In this paper we examine methods and algorithms for visualizing three-dimensional non-Euclidean spherical and elliptical spaces with a first-person view, from insider’s perspective: we propose an algorithm for implementing camera controls in such spaces, address an approach to visualizing properties of such spaces based on matrix and vector operations which enables us to perform some of the computations necessary for the visualization on GPUs using graphics APIs, describe an implementation of fog effects in such spaces for the purpose of simplifying navigation in them. An implementation of these approaches and algorithms that is intended for visualizing dynamic scenes in such spaces is presented.

Numerical simulation is widely used in the study of wave fields in various media. One of the methods is to divide the domain of interest into elementary volumes and build a finite-difference scheme for numerical implementation. The work assumes that the domain can have a significant curvature of the surface, therefore, the technology of generating a mesh of curved cubes is used. This mesh provides good consistency between the discrete and physical models of the domain. A parallel algorithm is proposed for the numerical solution of a 3D linear system of elasticity theory, expressed via displacement velocities and stresses, using a curvilinear mesh and an explicit difference scheme based on the Lebedev scheme. The simulation results are presented. The calculations were carried out using the resources of the SSCC SB RAS.

A research team from ICT SB RAS is actively developing a system to control a pilot plant for processing organic waste automatically. The pilot plant can produce thermal energy and energy carriers (solid products, e.g. bio-coal, liquid products, e.g. bio-oil, and gaseous products, i.e. synthesis gas), for example, from biomass with different chemical composition and physical properties. The equipment can process "complex" types of waste characterized mainly by high moisture and high ash content. During tests of the pilot plant, the complexity of stabilizing the parameters of technological processes and ensuring the stability and reliability of operation of the equipment of the complex as a whole were identified. This is especially important when implementing high-temperature modes of biomass processing. In order to primarily solve these most important tasks, an automatic control system of the plant is being created. When a system for automatic control of technological parameters of the gas-air path of the pilot-industrial plant is developed, a mathematical model that describes the dynamic characteristics of the gas and air paths under various throughput rates of the plant was used. When determining mathematical models, a two-way relationship between the gas path and air path was identified (interchannel connections). When technologically complex real objects of control are being automated, in the inaccuracy of a priori information about the object, when the system operates in various uncertain external and internal situations, disturbing influences, a robust control method should be used. PID controllers were selected as corrective devices for stabilizing the technological parameters that characterize the operation mode of the gas-air path of the plant including pressure in the lower part and rarefaction in the upper part of the combustion chamber. The most appropriate method for determining the PID controller settings has been elected. Synthesis and simulation of the operation of the controllers of the pressure in the lower part and rarefaction in the upper part of the combustion chamber are performed. Basing on the results of mathematical modeling, the efficiency of the controllers of the pressure in the lower part and the rarefaction in the upper part of the combustion chamber for various loads of the plant has been shown, and their stability reserves by amplitude and phase are determined. The results of mathematical modeling of the stabilization contours of the technological parameters of the gas-air path of the plant are presented for two cases: without interchannel connections and without the account of these connections. A simulation of the joint operation of the control circuits of the gas-air path of the plant is performed. Compensators for adjacent (interchannel) connections of the gas and air paths of the plant have been developed. The advantage of the proposed automation schemes is shown.