Informatics and Cybernetics in Intelligent Systems

This book constitutes the refereed proceedings of the informatics and cybernetics in intelligent systems section of the 10th Computer Science Online Conference 2021 (CSOC 2021), held online in April 2021. Modern cybernetics and computer engineering papers in the scope of intelligent systems are an essential part of actual research topics. In this book, a discussion of modern algorithms approaches techniques is held.

Contenu
Design of multi loop control systems with decision makers under incomplete information.- Forecasting and Assessing the Risk of Negative Consequences of Strategic Decisions in Organisation Systems.- Application of Computer Methods for acoustic analysis of the West-Middle German Dialect.- The Concept of Intellectualized Control in Precision Farming.- Allocation of Organizational and Financial Resources of the Information Protection Side Using a Genetic Algorithm.- Application of information security technologies for improving the imitation resistance of low-orbital satellite communication systems.- Time series forecasting based on neural analysis.- Alternative designs of high load queuing systems with small queue.- Verification of HotStuff BFT Consensus Protocol With TLA+/TLC in an Industrial Setting.- Architecture of InnoChain, a Formally-Veried Distributed Ledger System.- A New Approach to Modelling and Verification of Functional Programs.- Measuring Random Pulses with Unknown Time- Frequency and Power Parameters.- Efficiency of Detection of Ultra-Wideband Signals against Additive and Pulse Random Distortions.- Development of a risk assessment tool for manufacturing processes.- Determining the future profitability of the main types of cryptocurrencies.- THE PECULIARITIES OF COMPUTER TECHNOLOGIES APPLICATION IN INFORMATICS TRAINING IN CONDITIONS OF THE ECONOMY AND EDUCATION DIGITALIZATION.- LSTM forecasting: time series forecasting to predict the concentration of air pollutants (CO, SO2, NO and NO2) in Krasnoyarsk, Russia.- Local weather station for decision making in civil engineering.- Algorithmic approach to the design of e-learning courses.- New failures occurrence software testing based on predicting the time organization.