Decentralized Token Economy Theory (DeTEcT)

This paper presents a pioneering approach for simulation of economic activity, policy implementation, and pricing of goods in token economies. The paper proposes a formal analysis framework for wealth distribution analysis and simulation of interactions between economic participants in an economy. Using this framework, we define a mechanism for identifying prices that achieve the desired wealth distribution according to some metric, and stability of economic dynamics. The motivation to study tokenomics theory is the increasing use of tokenization, specifically in financial infrastructures, where designing token economies is in the forefront. Tokenomics theory establishes a quantitative framework for wealth distribution amongst economic participants and implements the algorithmic regulatory controls mechanism that reacts to changes in economic conditions.\par In our framework, we introduce a concept of tokenomic taxonomy where agents in the economy are categorized into agent types and interactions between them. This novel approach is motivated by having a generalized model of the macroeconomy with controls being implemented through interactions and policies. The existence of such controls allows us to measure and readjust the wealth dynamics in the economy to suit the desired objectives.Comment: 24 pages, 5 figures, 8 table

Based on Perceptron Object Classification Algorithms for Processing of Agricultural Field Images

Neural network algorithms of object classification are considered in the paper applying to disease area recognition of agricultural field images. The images are presented as reduced normalized histograms. The classification is carried out for RGB-and HSV-space by using of a multilayer perceptron

Sodium-23 Magnetic Resonance Imaging

23Na MRI provides additional biochemical information to 1H MRI in terms of cell integrity and tissue viability. We aimed at determining the sensitivity of 23Na MRS, MRI and MR relaxometry methods available on 7T MR scanner Bruker Biospec 70/30 USR and developing of an optimal MRI protocol for small animal 23Na in vivo visualization. The outcomes include 23Na MR spectra, 23Na MR images with SNRs, and T1 and T2 values of 23Na. It is shown that single-pulse 23Na MR spectroscopy can discriminate different 23Na concentrations, and 3D FLASH pulse sequence adapted for 23Na data acquisition may provide the acceptable quality images. Keywords: Sodium MRI, Sodium MRS, 3D FLASH, MR relaxometr

The Prototype of Software System of Neural Network Control of Telemetry Data

This paper describes a prototype of software system of neural network control of telemetry data for malfunction diagnosis of spacecraft subsystems. The prototype is used for testing of intelligent technologies for processing information about a spacecraft subsystems state, prediction and detection of irregularities of the spacecraft subsystem modes. The Information obtained from on-board data sources on space communication channel is used for processing

ONE-POT TWO-STEP SYNTHESIS OF 4H-THIENO[2',3':4,5]PYRROLO[2,3-B]QUINOXALINE DERIVATIVES

The research was financially supported by the Ministry of Science and Higher Education of the Russian Federation (Agreement No. 075-15-2020-777)

АЛГОРИТМ УДАЛЕНИЯ ФОНА В ВИДЕОПОСЛЕДОВАТЕЛЬНОСТЯХ

An improvement of the method by J.C.S. Jacques, C.R. Jung and S.R. Musse for background removal and video sequences shadow detection is proposed.Предлагаетсяспособ улучшения метода удаления фона Ж.К.С. Жака, К.Р. Юнга, С.Р. Муса в полутоновых изображениях видеопоследовательностей, позволяющийудалять фон для объектов различного размера и монотонных поверхностей

СРАВНЕНИЕ МЕТОДОВ СТЕГАНОГРАФИИ В ИЗОБРАЖЕНИЯХ

Steganography is a method of hiding information in other information of different format (container). There are many steganography techniques with various types of container. In the Internet, digital images are the most popular and frequently used containers. We consider main image steganography techniques and their advantages and disadvantages. We also identify the requirements of a good steganography algorithm and compare various such algorithms.Стеганография – это метод сокрытия информации в объектах различных форматов (кон-тейнерах). Существует большое разнообразие методов для конкретных контейнеров, в которые скрытно записывается информация. Наиболее часто в качестве контейнера используются цифровые изображения, которые без искажений могут пересылаться по компьютерным сетям. Исследуется основная методика стеганографии, ее сильные и слабые стороны. Дается сравнительная оценка основных алгоритмов стеганографии

СИСТЕМЫ ВИДЕОНАБЛЮДЕНИЯ: СОСТОЯНИЕ, ПРОБЛЕМЫ И ТЕХНИЧЕСКИЕ СРЕДСТВА ОБРАБОТКИ ИЗОБРАЖЕНИЙ

Video systems for surveillance of medium and large objects and these systems hardware (street IP-cameras, servers, data storage devices, operator devices) are surveyed. The issues of image processing, surveillance systems development tendencies and tasks requiring solution are covered.Рассматриваются системы видеонаблюдения средних и крупных объектов, используемое обо-рудование. Освещаются вопросы обработки изображений, тенденции развития видеосистем, очер-чивается круг проблем, требующих решения

The Architecture of the Neural System for Control of a Mobile Robot

Building autonomous mobile robots has been a primary aim of robotics and artificial intelligence. Artificial neural networks are capable of performing the different aspecis of autonomous drmng, such as collision-free motions, avoiding obstacles, mapping and planning of path. This paper describes the global architecture of the neural system for autonomous control of a mobile robot. Such neural system has the ability for self-training and self-organizing. The purpose of this paper is to present the key ideas and approaches underlying our research in this area