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The system of distributed data storage includes, in addition to the devices themselves, on which information will be stored, as well as communication channels through which it is forwarded. When transmitting information to considerable distances, there are a number of new problems that need to be solved. An analysis of the current state and development of data transmission and storage systems shows that it is necessary to use various technical and software methods of information protection from distortion, loss or theft. The use of only one of them is not effective, so they usually use their combination. The most widely used data protection methods are the methods based on the use of correction codes, particularly the residue number system (RNS) codes. Due to the presentation of information in the form of remainders from the division of data into each element of the system of mutually simple modules, a reduction in the number of digits with which operations are carried out is achieved. The simplification of information collection and transmission system due to the presentation of information in the form of residuals is investigated in this paper. The initial range of calculations expansion implemented by the introduction of additional backup modules is suggested for data protection, that allows to increase the probability of error detection to 100%. The advantages and disadvantages of detecting and correcting errors with the use of corrective codes in RNS using the methods of calculating the syndrome and calculating the number projection is analyzed. The number of information modules in the designed systems can vary depending on the task, therefore, in the conducted studies, it was determined that with an increase in the number of information modules and combinations of distorted symbols, the number of undetected errors in percentage compliance remains practically unchanged. It is suggested to use RNS without additional error correction for designing information collection systems, as it is possible to choose a set of modules in such a way that the maximum number of errors that will not affect the system functionality. [ABSTRACT FROM AUTHOR]

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The results reported here represent the first stage in the development of a full-featured laboratory system aimed at studying machine learning algorithms. The relevance of the current work is predetermined by the lack of network small-size mobile robots and appropriate control software that would make it possible to conduct field experiments in real time. This paper reports the selection of network data transmission technology for managing mobile robots in real time. Based on the chosen data transmission protocol, a complete stack of technologies of the network model of a multi-agent system of mobile robots has been proposed. This has made it possible to build a network model of the system that visualizes and investigates machine learning algorithms. In accordance with the requirements set by the OSI network model for constructing such systems, the model includes the following levels: 1) the lower level of data collection and controlling elements – mobile robots; 2) the top level of the model includes a user interface server and a business logic support server. Based on the built diagram of the protocol stack and the network model, the software and hardware implementation of the obtained results has been carried out. This paper employed the JavaScript library React with a SPA technology (Single Page Application), a Virtual DOM technology (Document Object Model), stored in the device’s RAM and synchronized with the actual DOM. That has made it possible to simplify the process of control over the clients and reduce network traffic. The model provides the opportunity to: 1) manage the prototypes of robot clients in real time; 2) reduce the use of network traffic, compared to other data transmission technologies; 3) reduce the load on the CPU processors of robots and servers; 4) virtually simulate an experiment; 5) investigate the implementation of machine learning algorithms. [ABSTRACT FROM AUTHOR]