Перегляд за автором "Nosov, K."
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Публікація Development of a spatial-dynamical model of the structure of toxic cyanobacteria clusters for biosecurity purposes(2018) Шеховцова, В. І.; Vysotska, O.; Georgiyants, M.; Nosov, K.; Balym, Yu.; Pecherska, A.; Porvan, A.; Pavlov, S.; Shekhovtsova, V.; Klochko, T.; Solodovnikov, A.We have devised a spatialdynamic model that describes the structure of clusters of toxic cyanobacteria over large water areas. The application of the constructed model has been demonstrated in order to identify the structure of a cluster in digital photographs. The character of bioproductive processes that define the risk of accumulation of toxic microorganisms is determined by a series of parameters that can be measured remotely using aerospace methods (taking photographs). The proposed model, based on a digital image, makes it possible to restore the spatialdynamic pattern of clusters by determining the state of bioproductive processes in different parts of the cluster. Information about such states is of great importance in order to optimize measures for eliminating the threat of toxicity.Публікація Development of an approach to mathematical description of imbalance in methabolic processes for its application in the medical diagnostic information system(Eastern european jornal of enterprise technologies, 2018) Dobrorodnia, H.; Vуsotska, O.; Georgiyants, M.; Balym, Y.; Rak, L.; Kolesnikova, O.; Levykin, V.; Dovnar, O.; Nosov, K.; Porvan, A.The problem of diagnosing the metabolic syndrome associated with disturbance of carbohydrate and lipid metabolism was considered in this work. A new approach to determination of imbalance of metabolic processes was proposed. It is based on combining of the flow cultivator and the Lotka-Volterra models. Application of the model of flow cultivator provides an opportunity for objective assessment of initial conditions of behavior of the system acting as a human body and enables time matching of the model basic parameters. Initial conditions for modeling metabolic processes were determined using the Lotka-Volterra model. Use of these conditions makes it possible to determine stability of metabolic processes taking into account individual values of waist and hip circumference, weight, heart rate, age, systolic and diastolic pressure and the calculated Harris-Benedict value. Cross-checking for a possible development of metabolic processes in people with normal and impaired metabolism has shown that the developed approach can be used in medical institutions for the early diagnosis of metabolic disorders. To establish balance of the metabolic processes that are characteristic of people without and with metabolic disorders, retrospective data of examination of 155 young people who were under observation for several years at Kharkiv municipal clinical hospital No. 11, Ukraine, have been analyzed. The proposed approach is the basis of mathematical support of the medical diagnostic information system for detecting imbalance of metabolic processes which is developed currently. Application of such a system in the future will make it possible to study in detail the influence of various gender, territorial and age characteristics on the balance of metabolic processes in the human body.Публікація Development of the descriptive binary model and its application for identification of clumps of toxic cyanobacteria(2017) Nosov, K.; Zholtkevych, G.; Georgiyants, M.; Vysotska, O.; Balym, Yu.; Porvan, A.In the paper, a descriptive model of system dynamics for binary data is presented. Binary or dichotomous data are widely spread across various fields of research - in decision making and data mining, marketing, solving of many natural, social and technical problems. The initial data for building the model is a set of states of an autonomous dynamical system with components taking binary values. At the same time, the time order of the states is permissible. The following objectives were stated: to identify the relationships between the components of the system defining its dynamics; on the basis of the identified dynamics, to recover the true order of the system states; to apply the developed model to the problem of visual identification of cyanobacteria in water areas using digital photography. To solve the problem, we used a mathematical model that enables to describe the relationships between components and transitions between the system states at a simple-forunderstanding level. The principle of parsimony underlies the model. According to this principle, the most appropriate model is described by the simplest relations in the sense defined in the work. As the case study, the problem of recognizing clumps of cyanobacteria from digital satellite imagery was considered. This is a complex, practically important problem that does not have a satisfactory experimental and theoretical solution at the moment. Applying system approaches to the measured colorimetric parameters of digital photography, we developed the index for identification of such clumps. This index uses the parameters of the digital RGB model of (various parts of) an image and allows us to reveal clumps of cyanobacteria on digital images obtained by aerospace methods. Additionally, digital photography can be performed in the conditions of insufficient visibility (due to precipitation, fog, and other factors), for imitation of which in the case study the original image was distorted by the digital noise. The studied model can find useful applications in the areas requiring binary dynamical data insights. Представлена дескриптивна динамічна модель бінарних даних, що дозволяє по вихідним спостереженнями з порушеним часовим порядком відновити вихідний порядок на підставі принципу парсимонії. Модель застосована для знаходження системних колориметричних параметрів, використовуваних для обробки зображень скупчень токсичних ціанобактерій на основі аналізу компонентів RGB-моделі цифрової фотографії Представлена дескриптивная динамическая модель бинарных данных, позволяющая по исходным наблюдениям с нарушенным временным порядком восстановить исходный порядок на основании принципа парсимонии. Модель применена для нахождения системных колориметрических параметров, используемых для обработки изображений, скоплений токсических цианобактерий на основе анализа компонентов RGB-модели цифровой фотографии.Публікація Modeling of a procedure for unmasking the foxes during activities on the elimination of biosafety threats related to rabies(Eastern-European Journal of Enterprise Technologies ISSN 1729-3774, 2017) Vysotska, O.; Balym, Yu.; Georgiyants, M.; Pecherska, A.; Nosov, K.; Bespalov, Yu.Представлені результати математичного моделювання захисного забарвлення лисиць з метою виявлення тварин на місцевості. Для моделювання використана дискретна динамічна модель. Структурно-параметрична ідентифікація моделі здійснювалася на основі цифрових знімків тварин і рослинних спільнот у місцях їх мешкання. Визначені системні колорометричні параметри, використання яких дозволило підвищити контрастність силуетів тварин на фоні фітоценозу. Це підвищення контрастності сприяє демаскуванню тварин на місцевості, що є необхідним при проведенні заходів щодо усунення загроз біобезпеки, пов'язаних зі сказом. Представлены результаты математического моделирования защитной окраски лисиц с целью выявления животных на местности. Для моделирования использована дискретная динамическая модель. Структурно-параметрическая идентификация модели осуществлялась на основе цифровых снимков животных и растительных сообществ в местах их проживания. Определены системные колорометрические параметры, использование которых позволило повысить контрастность силуэтов животных на фоне фитоценоза. Это повышение контрастности способствует демаскировке животных на местности, что необходимо при проведении мероприятий по элиминации угроз биобезопасности, связанных с бешенством