Journal of Automation and Information Sciences最新文献

{"title":"HIGH-ACCURATE IN-FLIGHT CALIBRATION OF THE OPTICAL-ELECTRONIC SYSTEM OF A SPACECRAFT","authors":"A. Tkachenko","doi":"10.34229/1028-0979-2021-3-8","DOIUrl":"https://doi.org/10.34229/1028-0979-2021-3-8","url":null,"abstract":"In-flight geometric calibration (further — calibration) is interpreted here as a procedure of making more preceise mutual attitude parameters of the onboard imaging camera and star tracker. The problem of calibration is solved with using of observations of geo-referenced landmarks from the orbit. A necessity of in-flight geometric calibration takes place for instance when initial data do not ensure acceptable accuracy of the ground objects geo-referencing by means of space snapshots received with use of optical-electronic complex, or when indefiniteness of camera’s angular attitude relatively to star tracker accumulates in a process of exploiting of the spacecraft on the orbit. The simulation of the calibration algorithms had shown their acceptable accuracy in combination with the contemporary star trackers. The tendency of improvement of onboard devices and gauges and increasing of their accuracy shows advisability of agreement of attainable accuracy of calculations while in-flight geometric calibration with accessible measuring accuracy. It concerns both properly calibration and geo-referencing of space snaps using results of calibration. In particular, it is interesting to consider how accuracy of calibration depends on accuracy of specific measurings and initial data. A main means of investigation is computer simulanion and analysis of its results. Immersing into the domain of calibration with very small measuring errors may essentially change correlation between the factors which influence the calibration accuracy. In particular, raising of the star trackers accuracy reduced a weight of the random errors of such devices in the complex of factors which aggravate results of calibration. In such a case it is necessary to take into account possible influence of omitted nonlinear effects and the other sources of disturbances on the estimations of camera and star tracker mutual attitude parameters. A method of exception of unfavourable nonlinearity errors is developed in this work. The method is based on two effects: high convergence characteristics of estimation algorithm — fuzzy state observer — and succession of iterative calculations. Such an approach diminishes influence of the ignored nonlinear component of the calibration error and improves the convergence of estimates. Methods of data processing are conformed with possibility to access very precise measurings. Computer simulation had showed good accuracy of algorithms of the in-flight geometric calibration and geo referencing in a combination with high-precise characteristics of used technical means.","PeriodicalId":54874,"journal":{"name":"Journal of Automation and Information Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47878364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"APPROACH TO THE EVALUATION OF FILLING BY PEOPLE OF MOBILE MEANS AT EMERGENCY EVACUATION FROM BUILDINGS","authors":"V. Komyak, V. Komyak, K. Kazimov, A. Pankratov, A. Danilin","doi":"10.34229/1028-0979-2021-3-7","DOIUrl":"https://doi.org/10.34229/1028-0979-2021-3-7","url":null,"abstract":"The tasks of geometric design (of arrangement, cutting, coverage, partitioning) consist in optimization display of geometric information about objects in accordance with a given quality criterion and limitations. Geometric information about a geometric object consists of three components: spatial shape, metric shape parameters, placement parameters, and which, as a rule, is involves in the synthesis of complex systems. The configuration space of geometric objects is based on the formalization of the concept of geometric information. The mapping of objects into their configuration space according to a given set of constraints defines the spatial configuration of geometric objects. The article introduces the concept of a spatial configuration of placement, with the help of which a new model of placement of complex objects is constructed, representing the union of three loosely coupled ellipses, of which one (main) allows continuous translations and rotations, and two of auxiliary ellipses can rotate within acceptable limits (with respect to the angle of rotation of main ellipse) and relative to the points of their “gluing”. As a result of solving the optimization problem, not only the arrangement configuration of such objects is synthesized, but also the spatial form of each of them. Computer modeling of the optimization of the placement of the complex objects considered in the work was carried out and the effectiveness of the proposed approach was shown by comparing the location configurations for objects with a changing spatial shape and with constant shape parameters. Consideration of the parameters of the placement of objects, as well as additional parameters that allow us to synthesize new spatial forms of objects, as independent variables will allow us to offer new mathematical models and optimization methods for the synthesis of spatial configurations. A further direction can also be considered the development of new approaches to modeling the movement of flows of people, robots, to get upper bounds for filling areas with objects. All this increases the range of tasks to be solved according to their functional capabilities and can be used, for example, when dividing the compartments of vehicles for transporting goods and storing them, in pattern recognition systems, in robotics, etc.","PeriodicalId":54874,"journal":{"name":"Journal of Automation and Information Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45075355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"INFORMATION TECHNOLOGY FOR THE EARLY DIAGNOSYS OF PNEUMONIA USING CONVOLUTIONAL NEURAL NETWORKS","authors":"Pavel Radyuk, A. Barmak, Y. Krak","doi":"10.34229/1028-0979-2021-3-9","DOIUrl":"https://doi.org/10.34229/1028-0979-2021-3-9","url":null,"abstract":"Over the past few years, pneumonia has become one of the most common and severe lung diseases globally, and its treatment is vital nowadays. Clinical practice has proved that early diagnosis of pneumonia is a crucial factor in its successful treatment. An efficient approach to diagnosing pulmonary diseases, including pneumonia, is automated chest X-ray analysis implemented in clinical recommendation systems. However, it is still unclear what features of pneumonia in an X-ray image correspond to the early stage of the disease according to the automated method of diagnosis. The question of interpreting the results of digital diagnostics also remains open and needs further investigation. Therefore, to address an urgent issue of interpretation in digital diagnosis, we propose an information technology for the visual analysis of X-ray images to explain the results of diagnosing pneumonia. The technology comprises a classification model based on a convolutional neural network to extract mild features of early viral pneumonia and a modified method of distinctive localization to interpret the classification results. The neural network used in the study contains an effective dilated convolutional operation to combine features of various receptive fields. Our method of interpretation is based on applying weighted gradients to class activation maps. It distinguishes lung masks in the X-ray image and imposes thermal maps with a color gradient from blue to bright red. The red color corresponds to the most probable location of the pneumonia features in the radiograph. Such a modification provides excellent localization of abnormal areas on radiographs, removing the mild target features of early pneumonia. According to the computational results, our model surpassed other neural architectures in precision (98,5 %) but slightly conceded in classification accuracy (96,1 %) and recall (93,6 %). Moreover, it shows relatively low false positive and false negative rates, with 1,4 and 6,4 %, respectively. Overall, according to computational experiments, the proposed information technology can be an effective tool for instant diagnosis in the first suspicion of pneumonia.","PeriodicalId":54874,"journal":{"name":"Journal of Automation and Information Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69845270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"APPLICATION OF STOCHASTIC MODEL FOR LENGTHY EPIDEMIC FORECASTING","authors":"P. Knopov, O. Bogdanov","doi":"10.34229/1028-0979-2021-3-4","DOIUrl":"https://doi.org/10.34229/1028-0979-2021-3-4","url":null,"abstract":"In this paper we consider a stochastic discrete-time epidemic model, with the infectivity depending on the age of infection and existing formula for the maximum likelihood estimation of the parameter responsible for the rate of the infection spread. In order to utilize the real number of infection cases statistics, a detection rate parameter is introduced. A program for automatic parameter estimation using past data with future epidemic simulation is developed. We present the comparison between the simulation of COVID-19 cases in Kyiv and real data using manual and automatic parameter estimation. We consider the possibility of the epidemic partition into several intervals with different parameters in order to simulate lengthy epidemics with significant changes in dynamics. We present the comparison between different numbers of partitions for long-term COVID-19 simulation in Kyiv (Ukraine) and Czech Republic, which have different dynamics of the epidemic development.","PeriodicalId":54874,"journal":{"name":"Journal of Automation and Information Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47005824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CONVERGENCE OF THE EXTRAPOLATION METHOD FROM THE PAST AND THE OPERATOR EXTRAPOLATION METHOD","authors":"V. Semenov, S. Denisov, Dmitry Siryk, O. Kharkov","doi":"10.34229/1028-0979-2021-3-5","DOIUrl":"https://doi.org/10.34229/1028-0979-2021-3-5","url":null,"abstract":"One of the popular areas of modern applied nonlinear analysis is the study of variational inequalities. Many important problems of operations research and mathematical physics can be written in the form of variational inequalities. With the advent of generating adversarial neural networks, interest in algorithms for solving variational inequalities arose in the ML-community. This paper is devoted to the study of three new algorithms with Bregman projection for solving variational inequalities in Hilbert space. The first algorithm is the result of a modification of the two-stage Bregman method by low-cost adjusting the step size that without the prior knowledge of the Lipschitz constant of operator. The second algorithm, which we call the operator extrapolation algorithm, is obtained by replacing the Euclidean metric in the Malitsky–Tam method with the Bregman divergence. An attractive feature of the algorithm is only one computation at the iterative step of the Bregman projection onto the feasible set. The third algorithm is an adaptive version of the second, where the used rule for updating the step size does not require knowledge of Lipschitz constants and the calculation of operator values at additional points. For variational inequalities with pseudo-monotone, Lipschitz-continuous, and sequentially weakly continuous operators acting in a Hilbert space, convergence theorems are proved.","PeriodicalId":54874,"journal":{"name":"Journal of Automation and Information Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45239655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ON THE STABILITY OF DYNAMIC SYSTEMS WITH CERTAIN SWITCHINGS, WHICH CONSISTS OF LINEAR SUBSYSTEMS WITHOUT DELAY","authors":"D. Khusainov, A. Bychkov, A. Sirenko, Jamshid Buranov","doi":"10.34229/1028-0979-2021-3-1","DOIUrl":"https://doi.org/10.34229/1028-0979-2021-3-1","url":null,"abstract":"This work is devoted to the further development of the study of the stability of dynamic systems with switchings. There are many different classes of dynamical systems described by switched equations. The authors of the work divide systems with switches into two classes. Namely, on systems with definite and indefinite switchings. In this paper, the system with certain switching, namely a system composed of differential and difference sub-systems with the condition of decreasing Lyapunov function. One of the most versatile methods of studying the stability of the zero equilibrium state is the second Lyapunov method, or the method of Lyapunov functions. When using it, a positive definite function is selected that satisfies certain properties on the solutions of the system. If a system of differential equations is considered, then the condition of non-positiveness (negative definiteness) of the total derivative due to the system is imposed. If a difference system of equations is considered, then the first difference is considered by virtue of the system. For more general dynamical systems (in particular, for systems with switchings), the condition is imposed that the Lyapunov function does not increase (decrease) along the solutions of the system. Since the paper considers a system consisting of differential and difference subsystems, the condition of non-increase (decrease of the Lyapunov function) is used.For a specific type of subsystems (linear), the conditions for not increasing (decreasing) are specified. The basic idea of using the second Lyapunov method for systems of this type is to construct a sequence of Lyapunov functions, in which the level surfaces of the next Lyapunov function at the switching points are either «stitched» or «contain the level surface of the previous function».","PeriodicalId":54874,"journal":{"name":"Journal of Automation and Information Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44671920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"DECISION MAKING IN MODELING THE DYNAMICS OF INFECTIOUS DISEASE TAKING INTO ACCOUNT DIFFUSION DISTURBANCES AND CONCENTRATED ACTIONS","authors":"S. Baranovsky, A. Bomba, S. Lyashko","doi":"10.34229/1028-0979-2021-3-10","DOIUrl":"https://doi.org/10.34229/1028-0979-2021-3-10","url":null,"abstract":"To study the patterns of response of the immune system to viruses detected in the body, a very diverse range of models has been developed. The simplest infectious disease model, which describes the most general mechanisms of immune protection, built on the assumption that the environment of the «organism» is homogeneous, in which all components of the process are instantly mixed by Marchuk is known. The infectious disease mathematical model by Marchuk for generalization of diffusion perturbations and various concentrated influences is generalized. The corresponding singularly perturbed model problem with delay is reduced to a sequence of problems without delay, for which the corresponding asymptotic developments of solutions are obtained. The results of numerical experiments, which illustrate the influence of spatially distributed diffusion «redistributions» on the nature of the viral disease in the presence of concentrated sources of antigens and donor antibodies are presented. A model decrease in the maximum level of antigens in the infection epicenter due to their diffusion «erosion» in the process of infectious disease development has been demonstrated. It is emphasized that even if the initial concentration or intensity of the pulsed viral source in a certain part of the infection will exceed some critical value (immunological barrier) due to diffusion «redistribution» for a short period of time, the supercritical concentration of viral agents may decrease to lower than the critical level and further neutralization of antigens can be provided by the available level of antibodies and a more economical procedure of injection solution with donor antibodies. That is, within this model, the «severity» of the viral disease in such cases can be reduced more rationally, at lower cost.","PeriodicalId":54874,"journal":{"name":"Journal of Automation and Information Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47720266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"STUDYING THE INTERCONNECTION OF FOOD, ENERGY AND WATER RESOURCES USING THE THREE-SECTORAL LORENTZ MODEL","authors":"K. Atoyev, L. Vovk, S. Shpyga","doi":"10.34229/1028-0979-2021-3-12","DOIUrl":"https://doi.org/10.34229/1028-0979-2021-3-12","url":null,"abstract":"The work is devoted to the problem of creating new methods for complex modeling and risk management, which will allow to study synergistic interactions between sources of risks of various origins under conditions of uncertainty. The paper proposes an approach to the study of the relationship between food, water and energy resources using the three-sectoral Lorenz model, combining in a single structure similarly described sectors of the economy, each of which is considered in terms of the productivity level, the workplaces number and the structural disturbances level. As a mathematical modeling result, the conditions of the deterministic chaos origin in the minimum economic development model were determined and possible reasons of the global economy growing vulnerability to small changes in management parameters were identified. The problem of determining effective controls for minimizing the total structural violations on selected time interval is considered. As a result of model experiments, the trajectories of control parameters changes were determined, which make it possible to reduce the structural violations number. This is achieved through changes in the ratio of supply and demand levels for products, demand and supply for workplaces creation. The influence of random perturbations on the deterministic attractors stochastic deformation of the Lorentz model is considered. It is shown that, under random perturbations, the trajectories of the stochastic system leave a deterministic attractor and form around it a certain bundle with the corresponding probabilistic distribution. The further model complicating possibility by taking into account other sectors of the economy using the Lorenz model in a complex form is considered. In this case the task of studying n sectors of economy is reduced to considering the behavior of an ensemble of n coupled oscillators that generate oscillations with frequencies ωn, respectively. Collective synchronization of oscillator data can be investigated using Kuramoto’s model. The problem of managing socio-economic development under the chaotic modes origin conditions is reduced for a complex model to controlling the frequency of a nonzero mean field generated by coupled oscillators.","PeriodicalId":54874,"journal":{"name":"Journal of Automation and Information Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44915772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MATHEMATICAL MODEL FOR SELECTING RESPIRATORY MODES FOR ARTIFICIAL VENTILATION OF THE LUNGS","authors":"N. Aralova","doi":"10.34229/1028-0979-2021-3-11","DOIUrl":"https://doi.org/10.34229/1028-0979-2021-3-11","url":null,"abstract":"COVID-19 mainly affects the lower respiratory tract, and in 20 % of people infected with the SARS-CoV-2 virus, it penetrates deep into the lungs. At the same time, the patient's condition quickly becomes critical, and the most severe patients must be urgently placed in the intensive care unit and connected to artificial lung ventilation (IVL) devices. Artificial ventilation is necessary when the lungs can no longer breathe in enough oxygen and breathe out the carbon dioxide that has been collected in them. In this case, ventilators take over the functions of the respiratory system. The methods of carrying out artificial ventilation of the lungs require not only experimental, but also theoretical justification. For the study, it is proposed to apply a mathematical model of the functional respiratory system, in which the breathing process is represented as a controlled dynamic system and which allows predicting the gas exchange process in the lung structures in the dynamics of the respiratory cycle under various disturbing influences. To expand the area of applicability, the process features characteristic of the conditions under consideration are taken into account. It is proposed to supplement the model with equations that take into account the elasticity and resistance of pulmonary structures. Since the possibility of obtaining quantitative and qualitative characteristics of the process of mass transfer of gases with various types of artificial ventilation of the lungs is essential, equations are proposed to describe different types of pulmonary respiration. Implementation of the proposed model will allow obtaining results on the study of the process of dynamics of respiratory gases during artificial ventilation of the lungs, contributing to the solution of practical problems on the optimization of the parameters of technical devices for artificial ventilation. The subsequent combination of the proposed model with the model of the development of a viral disease can, in the presence of an array of individual data, be of significant assistance in choosing mechanical ventilation modes in a complicated course of a viral disease.","PeriodicalId":54874,"journal":{"name":"Journal of Automation and Information Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47845849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MATHEMATICAL ALGORITHM FOR DETECTING XSS ATTACKS ON WEB APPLICATIONS","authors":"R. Khamdamov, K. Kerimov","doi":"10.34229/1028-0979-2021-3-6","DOIUrl":"https://doi.org/10.34229/1028-0979-2021-3-6","url":null,"abstract":"Recently, attacks on web applications, such as SQL injection and cross-site scripting (XSS), have tended to increase. In this article, we proposed a new algorithm for detecting XSS attacks on a web application based on the analysis of the frequency of occurrence of special characters. The paper proposes mathematical modeling and a method for identifying XSS attacks using a function bounded below that depends on the input string. To build this function, special characters and keywords were used, which are often found in the construction of XSS attacks. Mathematical modeling and identification of information objects plays an important role in solving the problems of pattern recognition. One such task is to detect attacks or normal requests to web applications. Research devoted to the study of the detection of attacks or normal requests to web applications began relatively recently. Nevertheless, there is a lot of research in this direction. In this paper, we propose mathematical modeling and a method for identifying XSS attacks using a function bounded below that depends on the input string. To build this feature, we used special characters and keywords that are often found in building XSS attacks. In the proposed method, it is possible to detect XSS attacks using one special character or one keyword. Nevertheless, it can be experimentally shown that the proposed detection method using a set of numerous characters and words allows us to determine more accurately the vulnerability of the type of XSS attacks. The aim of this work is to develop an algorithm for detecting XSS attacks. To achieve this, we focused on the characters that are often included in the XSS attack string.","PeriodicalId":54874,"journal":{"name":"Journal of Automation and Information Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45941738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}