In the article, development stages of the virtual simulator Duomatic 09-32 hardware-software complex intended for drivers-operators training in driving of the special self-moving Duomatic 09-32 rolling stock are considered. In the presented research the data domain is studied, the concept of the virtual model basis of the Duomatic 09-32 simulator is developed and the system is designed. The bearing – tamping - leveling machine Duomatic 09-32 is the special machine on railway transport for railway track bearing in a longitudinal and cross profile and in respect of and also for tamping of ballast. It is applied at construction, repair and the current maintenance of a railway. The simulator considers many aspects of railway transport management process (structures, people on the ways, railway signs, traffic lights etc.) that allows the operator to gain qualitatively skills of the analysis and information processing and actions execution for management of train structure depending on a situation. Considering responsibility of the engineer not only for himself, but also for other participants of the movement, management of train structure is considered as difficult process. It demands emotional pressure, ability to constantly analyze a surrounding situation and to predict development of the situation. The simulator allows to receive necessary skills and makes drivers training activity more convenient and safe.

Под автоматизированной тренажёрно-обучающей системой подразумевается специализированный АПК (аппаратно-программный комплекс), способствующий увеличению навыков и умений специалистов и учеников. Появлению тренажёров способствовала необходимость подготовки специалистов для работы на определённом оборудовании, либо со смежными действиями, функционалом, а также военной направленности. В наше время, в соответствии с ростом количества компьютеров и информационных технологий, с разработкой новейшей техники, когда эксплуатация и работа с ней связана с определённого рода риском и опасностью для жизни и здоровья человека и человечества в целом, появляется новая индустрия-виртуальные тренажёры, а также тренажёрные технологии. Целью данной научно-исследовательской работы является повышение качества уровня навыков движения, а также выпрямительно-подъёмно-рихтовочных операций оператора-машиниста специального поездного состава Duomatic 09-32. Для достижения данных целей изучена предметная область, разработана концепция, на основе которой разработана и спроектирована виртуальная модель тренажёра Duomatic 09-32. Модель можно использовать как для собственных разработок, так и в дальнейшем сторонними разработчиками. Процесс разработки и проектировки предполагает под собой построение mS visio диаграмм для понимания архитектуры, непосредственное кодирование и отладки программного кода. Ключевые слова: виртуальный тренажёр, разработка, тестирование, создание прототипа, алгоритм работы DEVELOPmENT OF ThE DUOmATIC 09-32 VIRTUAL SImULATOR Satdarov m.R., Staroverova N.A.

The paper considers creation of the virtual model of receiving normal butane from isobutene-butene fraction with use of an integrated environment of OMEGALAND dynamic model operation to study the characteristics of the set technological mode. In the research process function chart was chosen and the parameters defining the key quality indicators of technological process of receiving normal butane were determined. The inventory which will participate in the simulation model is picked up. “Visual Modeler” dynamic model operation software with the graphic module and the module of the database are chosen as a medium for technological process modelling. The virtual model of a column used in simulators for tutoring and training prompt actions of technicians is created. Calculations of the established condition of process are performed, the analysis of sources to check the model for compliance with a real object is carried out.

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Information system was developed in the form of a web application that makes it possible to identify microscopic images of cytological samples, to establish an initial diagnosis and to provide recommendations for its further confirmation based on additional data. Approaches, assumptions and prerequisites adopted in the information system development are described. It is proposed to use neural networks as the information system element in sample identification and making the initial diagnosis. Patient data, affected area images and microscopic images of cytological samples are planned to be collected in the information system database under creation. Cytological sample images serve as the input data for neural networks operation. Cytological picture assessment is based on the use of the following characteristic features: preparation background, number and location of cells, size and shape of cells, nucleus, presence of multinucleated cells and fission entities (atypical mitoses), etc.