РОЗРОБКА МОДЕЛІ СИСТЕМИ ПІДТРИМКИ ПРИЙНЯТТЯ РІШЕННЯ НА ЗАЛІЗНИЧНОМУ ТРАНСПОРТІ

The article examines possibilities of creation on the railway transport of the adequate decision-making support system on the basis of the fundamentals of the fuzzy sets and fuzzy logic theories.Рассмотрены вопросы возможности создания на железнодорожном транспорте адекватных систем поддержки принятия решений, в основу которых положены основные принципы теории нечетких множеств и нечеткой логики.Розглянуто питання можливості створення на залізничному транспорті адекватних систем підтримки прийняття рішень, в основу яких покладені основні принципи теорії нечітких множин і нечіткої логіки

INTELLECTUAL MODEL FORMATION OF RAILWAY STATION WORK DURING THE TRAIN OPERATION EXECUTION

Purpose. The aim of this research work is to develop an intelligent technology for determination of the optimal route of freight trains administration on the basis of the technical and technological parameters. This will allow receiving the operational informed decisions by the station duty officer regarding to the train operation execution within the railway station. Metodology. The main elements of the research are the technical and technological parameters of the train station during the train operation. The methods of neural networks in order to form the self-teaching automated system were put in the basis of the generated model of train operation execution. Findings. The presented model of train operation execution at the railway station is realized on the basis of artificial neural networks using learning algorithm with a «teacher» in Matlab environment. The Matlab is also used for the immediate implementation of the intelligent automated control system of the train operation designed for the integration into the automated workplace of the duty station officer. The developed system is also useful to integrate on workplace of the traffic controller. This proposal is viable in case of the availability of centralized traffic control on the separate section of railway track. Originality. The model of train station operation during the train operation execution with elements of artificial intelligence was formed. It allows providing informed decisions to the station duty officer concerning a choice of rational and a safe option of reception and non-stop run of the trains with the ability of self-learning and adaptation to changing conditions. This condition is achieved by the principles of the neural network functioning. Practical value. The model of the intelligent system management of the process control for determining the optimal route receptionfor different categories of trains was formed.In the operational mode it offers the possibility to the station duty officer or the traffic controller to determine the appropriate park (receiving, sending, transit one) and efficient reception way or handling one on condition of train safety control. The cardinal difference of this technology from the existing ones is the possibility to adapt the model to changing conditions. It means that in case of a situation that had not been encountered previously the model will calculate the most efficient way of train operation execution

УДОСКОНАЛЕННЯ ОПЕРАТИВНОГО ПЛАНУВАННЯ РОБОТИ ВАНТАЖНОЇ СТАНЦІЇ В УМОВАХ НЕЧІТКОЇ ВИХІДНОЇ ІНФОРМАЦІЇ

In the article the questions of possibility of construction of mathematical model for prediction of rational quantity of wagons for fulfilling the plan of transportations on the basis of theory of fuzzy sets were considered.В статье рассматриваются вопросы возможности построения математической модели прогнозирования рационального количества вагонов для выполнения плана перевозок на основе теории нечётких множеств.В статті розглядаються питання можливості побудови математичної моделі прогнозування раціональної кількості вагонів для виконання плану перевезень на основі теорії нечітких множин

Investigation into the bimodal transportation process by modelling rail module states

The bimodal transportation process, which takes into account the modelling of rail module states, has been studied. The article demonstrates marked graphs of rail module states with and without running gear change in operation. It has been established which states have the greatest impact on the probability of a steady mode. The work has considered fractality of arrivals and its range in the queueing system with priorities

Treatment of enthesopathy of the hip: glucocorticoids or platelet-cytokines?

The local therapy with platelet-rich plasma is more effective treatment than injections with glucocorticoids in patients of hip osteoarthritis with enthesopathy during the 12 weeks

Evaluation of fruit raw materials chemical composition by the content of organic acids and macronutrients

The actual content of organic acids and macronutrients in the samples of purees made of strawberries, black currants, blackberries, cranberries, pears, cherries, apricots was determined in the work. The average value of malic acid mass fraction in the studied types of raw materials was 0.7%, while in apple puree it counted 0.43%. The average value of the sum of potassium and magnesium mass fraction for the presented types of raw materials was 212 mg / 100 g, and the previously determined value for apple puree was 211 mg / 100 g. Comparison of the actual values and reference data of the ranges of malic acid content and potassium and magnesium sum shows the possibility of the fruit component content determination in various confectionery products groups. Organic acids and macronutrients were proven to be used as identification indicators for many groups of fruit raw materials. The factual data on organic acids and macronutrients content in some types of fruit purees made of tropical fruits, which are characterized by very wide ranges, were obtained in the work. The mass fraction of malic acid in the studied samples is in the range from 0.03% to 0.30%. The potassium content ranges from 60 mg to 301 mg per 100 g of product, and the magnesium content ranges from 6 mg to 21 mg per 100 g of product. The preservation of organic acids and macronutrients in apple puree was proved during storage. This indicates the possibility of their use in the confectionery industry as accurate and reliable criteria for fruit raw materials identification in finished products

Terahertz solid immersion microscopy for sub-wavelength-resolution imaging of biological objects and tissues

We have developed a method of terahertz (THz) solid immersion microscopy for imaging of biological objects and tissues. It relies on the solid immersion lens (SIL) employing the THz beam focusing into the evanescent-field volume and allowing strong reduction in the dimensions of the THz beam caustic. By solving the problems of the sample handling at the focal plane and raster scanning of its surface with the focused THz beam, the THz SIL microscopy has been adapted for imaging of soft tissues. We have assembled an experimental setup based on a backward-wave oscillator, as a continuous-wave source operating at the wavelength of λ = 500 μm, and a Golay cell, as a detector of the THz wave intensity. By imaging of the razor blade, we have demonstrated advanced 0.2λ-resolution of the proposed THz SIL configuration. Using the experimental setup, we have performed THz imaging of a mint leaf revealing its sub-wavelength features. The observed results highlight a potential of the THz SIL microscopy in biomedical applications of THz science and technology