In the article the analysis of existent basic methods of determining the weight of body of cosmonauts and objects small weight is conducted in the conditions of weightlessness, and their features of application are similarly exposed. The most comfortable and perspective method of determining the inertial weight of body in the conditions of weightlessness the use of different sort of oscillators and devices, that allow to measure the parameters of body of cosmonaut (small weight of devices and others like that), that hesitates, is considered. It is possible to use dependence of period of vibrations of spring on b.w. of cosmonaut envisaged on her and others like that. The measuring device of weight of «ИМ-01М», his technical descriptions, composition and principle of action, is considered. Such measuring device it maybe to complement the system of weighing of astronauts and cosmonauts on the method of Karmelo Velardo, that allows to get measuring (form and sizes of cosmonaut and his motions) given about the depth of object. The object of research is oscillators and devices, that allow to measure parameters bodies of cosmonaut and objects small weight, that hesitate. The subject of research is a mathematical vehicle on determination of frequency of eigentones dynamic system. The research aims is development of method of control of frequency of eigentones for determining the weight of body of cosmonaut and objects small weight in the conditions of weightlessness. Conclusions. The method of determining the weight of body of cosmonauts and objects small weight in the conditions of weightlessness and method of his realization are offered on the change of frequency of eigentones dynamic system devices. Analytical expressions for the calculation of frequency of eigentones dynamic system devices and corresponding charts are presented. A spring-gravimetric device is worked out for realization of measuring. A chart technical decision over of device is brought, his composition and principle of action are exposed. A device is able to define weight of control object, his state (his heterogeneity, presence of liquid filler, parts that hesitate and others like that).

Ab s t r a c t. The efficiency and quality of modern city management are directly linked to the relevant monitoring. Improving the efficiency and validity of the obtained data on the urban environment is possible due to the automation of the system of urban objects identification on digital space and aerial photographs, which involves determining their changes. Therefore, a knowledge base (data), which consists of a set of rules, facts, an inference mechanism that can be implemented through the use of deep neural network or hybrid (fuzzy neural network) models, is therefore needed. This academic paper proposes the technology of formal presentation of the information technology construction for the development of a knowledge base on the identification of urban structures on digital space and aerial photographs in automated monitoring of the urban environment. The developed technology identifies an interdependent set of phases, with the possibility of further parallelization of sub-stages, taking into account the peculiarities of knowledge representation (formalization) on the identification of urban structures on digital space and aerial photographs in automated monitoring of the urban environment. K e ywor d s : information technology; knowledge base; deep neural network; fuzzy set; automated monitoring; urban environment.

The transition of an astronaut into zero gravity leads to a certain restructuring of the body, including the redistribution of fluid flows in it. The process of dehydration of the body is stimulated, the astronaut loses weight. Knowledge of the regularities of changes in an astronaut's body weight, keeping it within normal limits thanks to a rational load distribution, rest, physical exercises, and a well-thought-out diet are extremely necessary in order to provide the astronaut with the most favorable conditions for adaptation in zero gravity, as well as to better prepare him for his return to Earth. Returning materials for scientific research and experiments, as well as equipment, from the space station to Earth also requires high-precision determination of the low weight of objects. The object of the research is an experimental unit that allows measuring the weight (parameters) of the astronaut’s body and the small weight of objects (equipment, devices, etc.) that oscillate. The subject of research is the frequency of natural oscillations of the dynamic system. The purpose of scientific work is the development of an experimental unit for determining the weight of the astronaut’s body and the low weight of objects in zero gravity. Conclusions. An experimental setup for determining the body weight of astronauts and the low weight of objects (control objects – СО) in zero gravity is proposed. For high-precision determination of the weight of the СО in zero gravity, the natural frequency (NF) was chosen as a diagnostic parameter. In the experimental installation, the weight of the OC is determined by changing the NF of the dynamic system "control object – moving anchor" depending on the attached weight of the СO. The essence of the work of the experimental unit is revealed, and its general appearance and structural scheme are presented.

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The demand for the creation of information systems that simplifies and accelerates work has greatly increased in the context of the rapidinformatization of society and all its branches. It provokes the emergence of more and more companies involved in the development of softwareproducts and information systems in general. In order to ensure the systematization, processing and use of this knowledge, knowledge managementsystems are used. One of the main tasks of IT companies is continuous training of personnel. This requires export of the content from the company'sknowledge management system to the learning management system. The main goal of the research is to choose an algorithm that allows solving theproblem of marking up the text of articles close to those used in knowledge management systems of IT companies. To achieve this goal, it is necessaryto compare various topic segmentation methods on a dataset with a computer science texts. Inspec is one such dataset used for keyword extraction andin this research it has been adapted to the structure of the datasets used for the topic segmentation problem. The TextTiling and TextSeg methods wereused for comparison on some well-known data science metrics and specific metrics that relate to the topic segmentation problem. A new generalizedmetric was also introduced to compare the results for the topic segmentation problem. All software implementations of the algorithms were written inPython programming language and represent a set of interrelated functions. Results were obtained showing the advantages of the Text Seg method incomparison with TextTiling when compared using classical data science metrics and special metrics developed for the topic segmentation task. Fromall the metrics, including the introduced one it can be concluded that the TextSeg algorithm performs better than the TextTiling algorithm on theadapted Inspec test data set.