Description
The development of the digital economy implies storing the history of a large number of transactions of every citizen involved in business processes based on digital technologies, starting from receiving public and social services in electronic form and ending with consumption of electronic goods and services produced by e-business and e-commerce.
If we look carefully at the data structure...
The paper presents and discusses a new computer toolkit for assessing the seaworthiness of a ship in stormy sailing conditions, intended for testing new design solutions for promising ocean-going ships and ships of unlimited ocean navigation, as well as organizing full-function simulators. The presented toolkit can be used by captains to select effective and safe sailing modes, as well as to...
Introduction
The development of technological progress makes increased demands on the strength properties of structural elements of buildings and structures, machines and mechanisms, and a decrease in their material consumption. This leads to the need for effective use of existing and creation of new methods of solid mechanics and the training of new highly qualified specialists.
One of...
The paper proposes a method for detecting fertile soils based on the processing of satellite images. As a result of its application, a map of the location of fertile and infertile soils for a given region of the earth's surface is formed and the corresponding areas are calculated. Currently, data from most satellites are in the public domain and, as a rule, are multispectral images of the...
Air quality sensors represent an emerging technology for air monitoring quality. Their main advantage is that they are significantly cheaper monitoring devices compared to standard monitoring equipment. Low-cost, mass-produced sensors have a potential to form much denser monitoring networks and provide more detailed information on air pollution distribution. The drawback of sensor air...
In a huge number of applications, air pollution dispersion modelling using standard Gaussian methodologies is an excessively data-intensive process that requires considerable computing power. Land Use Regression (LUR) represents an alternative modelling methodology. LUR presumes that pollution concentration is determined by factors obtained via spatial analysis. These factors are chosen on the...
Epidemic algorithms are widely explored in the case of distributed systems based on trustful environments. However, an assumption on arbitrary peers behaviour in Byzantine fault tolerance problem calls into question the appropriateness of well-studied gossip algorithms since some of them are based on aggregated network information, i.e. the number of nodes in the network, etc. Given this...
Potential benefits of implementation of distributed ledger technology are widely discussed among different business actors and governmental structures. Within the last decade, with growing popularity of blockchain-based payment systems and cryptocurrencies, these discussions considerably sharpened. Therefore, an extensive body of research has emerged on this soil. The goal of this study is to...
Classical methods use statistical-moments to determine the type of
modulation in question. This essentially correct approach for discerning
amplitude modulation (AM) from frequency modulation (FM), fails for more
demanding cases such as AM vs. AM-LSB (lower side-band rejection) - radio
signals being richer in information that statistical moments. Parameters
with good...
We present an approach to predict ECG waves with non-linear autoregressive
exogenous neuromorphic (NARX) software. These predictions are important in
comparing the underlying QRS complex of the ECG-wave with the slowly
deteriorating waves (or arrythmia) in cardiac patients. A deep Q-wave for
instance (such as 1/4 of the R-wave) is a typical sign of (inferior wall)
myocardial...
We applied distributed computing to study new peptide dendrimers with Lys-2Lys and Lys-2Arg repeating units in water. These molecules are promising nanocontainers for the drug and gene delivery. The dendrimers have recently been synthesized and studied by NMR (Sci. Reports, 2018, 8, 8916; RSC Advances, 2019, 9, 18018) and successfully tested as carriers for gene delivery (Bioorg. Chem., 2020,...
The need for big data analysis takes place in many areas of science and technology: economics, medicine, geophysics, astronomy, particle physics and many others.
This task is greatly simplified if big data has structural patterns. In this talk, we will consider the case when big data with a high degree of accuracy are fractals.
We propose to analyze the fractal structure of big data based on...
Machine learning methods can be used to solve the problems of detecting and countering attacks on software-defined networks. For such methods, it is necessary to prepare a large amount of initial data for training. Mininet is used as a modeling environment for SDN. The main tasks of modeling a software-defined network are studying traffic within the network, as well as practicing various...
ะะฐััะพััะฐั ัะฐะฑะพัะฐ ะฟะพัะฒััะตะฝะฐ ัะฐะทัะฐะฑะพัะบะต ะธ ะธััะปะตะดะพะฒะฐะฝะธั ะผะตัะพะดะพะฒ ัะฟัะฐะฒะปะตะฝะธั ะบะพะปะปะตะบัะธะฒะฝัะผ ะฟะพะฒะตะดะตะฝะธะตะผ ะฒ ัะพะตะฒัั ัะพะฑะพัะพัะตั ะฝะธัะตัะบะธั ัะธััะตะผะฐั ะฝะฐ ะฟัะธะผะตัะต ัะตัะตะฝะธั ะผะพะดะตะปัะฝะพะน ะทะฐะดะฐัะธ ัะฑะพัะบะธ ัะพะตะผ ัะพะฑะพัะพะฒ ะทะฐะดะฐะฝะฝะพะน ะพะณัะฐะฝะธัะตะฝะฝะพะน ัะตััะธัะพัะธะธ. ะ ัะฐะฑะพัะต ัะฐััะผะฐััะธะฒะฐะตััั ะฝะตัะบะพะปัะบะพ ัะฐัะฟัะตะดะตะปะตะฝะฝัั ะฐะปะณะพัะธัะผะพะฒ ัะตัะตะฝะธั ะฟะพััะฐะฒะปะตะฝะฝะพะน ะทะฐะดะฐัะธ, ะพัะฝะพะฒะฐะฝะฝัั ะฝะฐ ัะฐะทะปะธัะฝัั ะบะปะฐััะธัะตัะบะธั ะผะตัะพะดะฐั ะธ ะผะพะดะตะปัั ัะพะตะฒะพะณะพ ะธะฝัะตะปะปะตะบัะฐ....
ะะฐััะพััะฐั ัะฐะฑะพัะฐ ะฟะพัะฒััะตะฝะฐ ะฒะพะฟัะพัะฐะผ ะฟัะธะผะตะฝะตะฝะธั ัะตั ะฝะพะปะพะณะธะน ะพะฟัะธัะตัะบะพะณะพ ัะฐัะฟะพะทะฝะฐะฒะฐะฝะธั ัะธะผะฒะพะปะพะฒ ะธ ะผะตัะพะดะพะฒ ะผะฐัะธะฝะฝะพะณะพ ะพะฑััะตะฝะธั ะดะปั ัะฐัะฟะพะทะฝะฐะฒะฐะฝะธั ะฟะตัะฐัะฝัั ััััะบะพัะทััะฝัั ัะตะบััะพะฒ XIX ะฒะตะบะฐ. ะะฝะฐะปะธะทะธัััััั ะพัะพะฑะตะฝะฝะพััะธ ะดะฐะฝะฝะพะน ะทะฐะดะฐัะธ ะฟะพ ััะฐะฒะฝะตะฝะธั ั ะพะฑัะตะน ะทะฐะดะฐัะตะน ะพะฟัะธัะตัะบะพะณะพ ัะฐัะฟะพะทะฝะฐะฒะฐะฝะธั ัะธะผะฒะพะปะพะฒ. ะัะพะฒะพะดะธััั ะพะฑะทะพั ัััะตััะฒัััะธั ะผะตัะพะดะพะฒ ะธ ะฟัะพะณัะฐะผะผ ะดะปั ัะตัะตะฝะธั ัะฐััะผะฐััะธะฒะฐะตะผะพะน ะฟัะพะฑะปะตะผั. ะัะตะดะปะฐะณะฐะตััั ัะฒะพะน...
To calculate the lifetime of mesons in hot and dense nuclear matter, it
is necessary to computate the 5-dimentional integrals with complicated
integrand function. This work presents algorithms and methods for
calculating complicated integrals based on the Monte-Carlo method. For
optimization of computation the algorithm of parallel calculations was
implemented in C++ programming language...
Humans and other animals can understand concepts from only a few examples. while standard machine learning algorithms require a large number of examples to extract hidden features. Unsupervised learning is procedure of revealing hidden features from unlabeled data.
In deep neural network training, unsupervised data pre-training increases the final accuracy of the algorithm by decreasing an...
