Structure of protected system for collecting, storage and processing of telemetry data

The issues of improving the security of the modular system for collecting, storing and processing telemetric information on the state of the onboard subsystems of the aircraft in automatic mode are considered. It is based on an analysis of the use of modern technologies for the protection and processing of telemetric information to ensure certain aspects of the guaranteeability of the system as a whole.This work is partially supported by the Russian Science Foundation under grants No 17-07-00351

Decision support system for ensuring information security of an automated process control system

The problem of ensuring the information security of an automated process control system (APCS) is considered. An overview of the main regulatory documents on ensuring the safety of automated process control systems is given. For the operative solution of the tasks of ensuring information security of the automated control system of technological processes it is proposed to use an intelligent decision support system (DSS). An example of the construction and implementation of decision rules in the composition of the DSS based on the use of neuro- fuzzy models is considered.This work is partially supported by the Russian Science Foundation under grants No17-48-020095

Bank transaction text label mining algorithms

The banking transaction monitoring system implements decision support mechanisms for online payment control procedures for legal entities considering the dynamic risk profile of the client. The system includes a set of algorithms for the intellectual analysis of transaction parameters, including a text label for the purpose of payment, and decision support for an employee of the financial monitoring unit. The development of algorithms for analyzing textual labels for the purpose of payments allows us to clarify the dynamic payment profile of the user and increase the validity of the recommendations of the monitoring system. A block diagram of a system for identifying high-risk banking transactions based on data mining algorithms has been developed. Algorithms for data mining of textual labels of the payment purpose have been developed and the effectiveness of the proposed solution on field data has been evaluated. An algorithm is proposed for the phased analysis of the text label of the payment destination, including the stages of preprocessing, filtering, normalizing and constructing a classifier based on a set of regular expressions and intelligent analysis technologies. The difference between the algorithm is the use of adaptive category dictionaries and the multi-pass application of heterogeneous classifiers, which makes it possible to increase the validity of the decision on whether the transaction belongs to one of the selected classes

Intelligent emotion recognition system in neural network basis

The human factor plays a significant role in ensuring the integrated safety of technological facilities. It is important to monitor the state of the operator of automated process control systems in soft real-time mode in order to reduce the risk of attention and concentration losses. Paper discusses the issues of increasing the efficiency of monitoring system of the operator’s state by using algorithms for assessing the psycho-emotional state. These algorithms apply methods of intelligent analysis of video sequence data without the use of additional contact sensors, which reduces probability of making a wrong decision due to the timely detection of unstable psycho-emotional states. The accuracy of detecting unstable psycho- emotional states on a test data set is 79%

Application of a deep convolutional neural network in the images colorization problem

Object of the research are modern structures and architectures of neural networks for image processing. Goal of the work is improving the existing image processing algorithms based on the extraction and compression of features using neural networks using the colorization of black and white images as an example. The subject of the work is the algorithms of neural network image processing using heterogeneous convolutional networks in the colorization problem. The analysis of image processing algorithms with the help of neural networks is carried out, the structure of the neural network processing system for image colorization is developed, colorization algorithms are developed and implemented. To analyze the proposed algorithms, a computational experiment was conducted and conclusions were drawn about the advantages and disadvantages of each of the algorithms.This work was supported by the Russian Foundation for Basic Research, research No 17-08-01569

Paleolithic Man of Denisova Cave and Zoogeography of Pleistocene Mammals of Northwestern Altai

Mammal population of the northwestern Altai included residents, autochthonous species, cosmopolitans, and migrants. The last clearly indicate biogeographical relationships of the biota of the Altai Mountains in the Pleistocene. Most of them penetrated into the Altai from the south. The majority of ungulates and rodents migrated from Central Asia. Yak, red dog, and snow leopard came from the Himalayas, Pamir, and Tien Shan. The natural environment of the Altai Mountains in the Pleistocene enabled migrations of these mammals from the south to north. The same opportunity was true of the ancient man. It is possible to assume that humans migrated from southeastern Asia and Indochina along the eastern foothills of the Himalayas and Nan Shan Mountains to the northwest, to the Zaisan Depression and Altai. This resulted in inevitable exchange of gene material of Paleolithic human populations of southeastern Asia and the Altai