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International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science

作者： Taras Grynchyshyn Volodymyr Hryha Artur Voronych Mykhaylo Ilko Department of Programming and Information Technologies National Transport University Nadvirna UKRAINE Department of Computer Engineering and Electronics Vasyl Stefanyk Precarpathian National University Ivano-Frankivsk UKRAINE Department of Computer System and Networks Ivano-Frankivsk National Technical University of Oil and Gas Ivano-Frankivsk UKRAINE

ISBN: (数字)9781728155661

ISBN: (纸本)9781728155678

The methods of digital and pulse signal modulation in modern computer systems of data transmission are analysed. Process of forming non-redundant coding that use the errors detection and correction in the Galois basis are offered. Structures of special processors for forming signal correcting codes are built. Working algorithms for proposed coding methods are developed and their software implementation are offered. Circuit design of Galois code sequence generator is implemented. Work simulation and synthesis on FPGA of Xilinx are performed.

关键词： digital signal processing chips encoding error correction codes error detection codes field programmable gate arrays Galois fields logic design microprocessor chips Error correction codes Field programmable gate arrays digital signal processing chips error detection codes Computer systems Galois fields Microprocessor chips Logic design coding Forming Galois sequence generator Digital signal processing

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Calculating methodology for information characteristics on chemical preprojection

Calculating methodology for information characteristics on c...

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2019 International Conference on Information Science and Communications Technologies, ICISCT 2019

作者： Gulyamov, Shuxrat Manapovich Zaynutdinova, Mastura Bahadirovna Khojieva, Nasiba Jumabaevna Tashkent State Technical University Doctor of Technical Sciences Tashkent Uzbekistan Tashkent University of Information Technologies Candidate of Technical Sciences Tashkent Uzbekistan Tashkent University of Information Technologies Applicant of the Department 'System and Applied Programming' Tashkent Uzbekistan

ISBN: (数字)9781728125640

ISBN: (纸本)9781728125640

In order to introduce generalized assessments of the degree of perfection of technological schemes of chemical-technological systems, the basic information characteristics of chemical-technological systems that can be determined from the statistical processing of random functions of the output coordinates of these systems are considered. The methods of calculation information characteristics objects Chemical Technology on thermodynamic analysis operation example monoethanolamine separating gas purification at a chemical plant. © 2019 IEEE.

关键词： Spectral density

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Parallel algorithm for time series Discords Discovery on the Intel Xeon Phi Knights Landing Many-core Processor

arXiv

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arXiv 2019年

作者： Поляков, А.В. Цымблер, М.Л. Polyakov, A.V. Zymbler, M.L. программирования магистрант Ленина 76 454080 Russia программирования Ленина 76 454080 Russia South Ural State University Department of System Programming prospekt Lenina 76 Chelyabinsk 454080 Russia South Ural State University Department of System Programming prospekt Lenina 76 Chelyabinsk 454080 Russia

Discord is a refinement of the concept of anomalous subsequence of a time series. The task of discords discovery is applied in a wide range of subject domains related to time series: medicine, economics, climate modeling, etc. In this paper, we propose a novel parallel algorithm for discords discovery for the Intel Xeon Phi Knights Landing (KNL) many-core systems for the case when input data fit in main memory. The algorithm exploits the ability to independently calculate Euclidean distances between the subsequences of the time series. Computations are paralleled through OpenMP technology. The algorithm consists of two stages, namely precomputations and discovery. At the precomputations stage, we construct the auxiliary matrix data structures, which ensure efficient vectorization of computations on Intel Xeon Phi KNL. At the discovery stage, the algorithm finds discord based upon the structures above. Experimental evaluation confirms the high scalability of the developed algorithm. Copyright © 2019, The Authors. All rights reserved.

关键词： Parallel algorithms

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Simulation of viscoelastic flow past circular airfoil by using the modified LS-STAG immersed boundary method 10

Simulation of viscoelastic flow past circular airfoil by usi...

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10th All-Russian Conference on Irreversible Processes in Nature and Technology

作者： Puzikova, Valeria V. Applied Mathematics Department Bauman Moscow State Technical University 2-ya Baumanskaya st. 5 str. 1 Moscow105005 Russia Compiler Technology Department Ivannikov Institute for System Programming of the RAS Alexander Solzhenitsyn st. 25 Moscow109004 Russia

The LS-STAG immersed boundary cut-cell method modification for viscoelastic flow computations is presented. Rate type viscoelastic flow models (linear and quasilinear) are considered. Rate type viscoelastic flow models (linear and quasilinear) are considered. The obtained numerical method is implemented in the LS-STAG software package developed by the author. This software allows to simulate viscous incompressible flows by using the LS-STAG method and it modifications. The LS-STAG-discretization of extra-stress equations for viscoelastic Maxwell, Jeffreys, upper-convected Maxwell, Maxwell-A, Oldroyd-B, Oldroyd-A, Johnson Segalman fluids was developed. Formulae for differential types of convected time derivatives (Oldroyd, Cotter-Rivlin, Jaumann-Zaremba-Noll derivatives) the LS-STAG discretization was obtained. Normal non-newtonian stresses are computed at the centers of base LS-STAG mesh cells and shear non-newtonian stresses are computed at the cell corners. Time-stepping algorithm is based on the first order predictor-corrector scheme. To validate developed numerical method the test problem about viscoelastic Oldroyd-B flow past a circular airfoil was used. Computational experiments were carried out at Weissenberg number in the range from 0 to 4. The computed values of the drag coefficients and the wake length are in good agreement with the experimental data. © Published under licence by IOP Publishing Ltd.

关键词： Airfoils

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A botnet detection approach based on the clonal selection algorithm 9

A botnet detection approach based on the clonal selection al...

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9th IEEE International Conference on Dependable systems, Services and Technologies, DESSERT 2018

作者： Lysenko, Sergii Bobrovnikova, Kira Savenko, Oleg Department of Computer Engineering and System Programming Khmelnitsky National University Instytutska 11 Khmelnitsky Ukraine

ISBN: (纸本)9781538659038

The paper presents a new technique for the botnets' detection in the corporate area networks. It is based on the usage of the algorithms of the artificial immune systems. Proposed approach is able to distinguish benign network traffic from malicious one using the clonal selection algorithm taking into account the features of the botnet's presence in the network. An approach present the main improvements of the BotGRABBER system. It is able to detect the IRC, HTTP, DNS and P2P botnets. © 2018 IEEE.

关键词： Botnet

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DDoS botnet detection technique based on the use of the semi-supervised fuzzy C-means clustering 14

DDoS botnet detection technique based on the use of the semi...

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14th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer. Volume II: Workshops, ICTERI 2018

作者： Lysenko, Sergii Savenko, Oleg Bobrovnikova, Kira Department of Computer Engineering System Programming Khmelnitsky National University Instytutska 11 Khmelnitsky Ukraine

A new technique for the DDoS botnet detection based on the botnets network features analysis is proposed. It uses the semi-supervised fuzzy c-means clustering. The proposed approach includes the learning and the detection stages. Analysis is based on the extracted from the network traffic features that may indicate the presence of the DDoS botnets' presence in the network. Experimental results demonstrated that the proposed technique ensures the DDoS botnet detection at the rate at about 95%. © 2011 Springer-Verlag Berlin Heidelberg.

关键词： Botnet

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Using Natural Version Redundancy of FPGA Projects in Area of Critical Applications

Using Natural Version Redundancy of FPGA Projects in Area of...

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IEEE International Conference on Dependable systems, Services and Technologies (DESSERT)

作者： Oleksandr Drozd Vitaliy Romankevich Mykola Kuznietsov Myroslav Drozd Oleksandr Martynyuk Department of Computer Intelligent Systems and Networks Odessa National Polytechnic University Odessa Ukraine System programming and specialized computer systems National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" Kyiv Ukraine Department of Information Systems Odessa National Polytechnic University Odessa Ukraine

ISBN: (数字)9781728199573

ISBN: (纸本)9781728199580

The paper focuses on the role of version redundancy, which increases with the expansion of critical applications and the tightening of their functional safety requirements. International standards governing these requirements have already fixed the importance of version redundancy to counter common cause failures in safety-related systems. The problem of hidden faults inherent in these systems is equally acute, undermining confidence in the fault tolerance of circuit solutions important for functional safety. We suggest that this problem be seen as a growth problem where the system rises to the level of diversification in modes of operation by dividing them into normal and emergency and checkability circuits, but components continue to be stamped at a lower level of replication. Then the solution to the problem is to raise the components to the level of the system by developing their version redundancy. We demonstrate this development for FPGA components with LUT-oriented architecture and offer a method to improve the FPGA-ready project by natural version redundancy of its program code. The method generates a set of program code versions and selects versions that improve the checkability of circuits with respect to constant faults and the trustworthiness of results, respectively, in normal and emergency mode to reduce a set of hidden faults. The method is illustrated by an iterative array multiplier implemented in an FPGA project. Versions are generated, evaluated, and selected using the program developed for this.

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Quality of life during the pandemic: a cross sectional study about attitude, individual perspective and behavior change affecting general population in daily life

Quality of life during the pandemic: a cross sectional study...

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6th Smart Cities Symposium (SCS 2022)

作者： F. Khatoon M. Kumar A. A. Khalid A. D. Alshammari F. Khan R. D. Alshammari Z. Balouch D. Verma P. Mishra M. Abotaleb T. Makarovskikh E. M. El-kenawy P. K. Dutta J. A. Marques Biochemistry Department College of Medicine University of Hail Hail Saudi Arabia Department of Zoology Narain College Narain College Shikohabad India Queen Elizabeth the Queen Mother Hospital East Kent NHS Foundation Trust Margate Dept. of Public Health/Community Medicine in College of Medicine Princess Nourah Bint Abdul Rahman University Sulaiman Al-Rajhi University Department of Community Medicine Hail university United Medical College Jinnah University SS Jain Subodh Autonomous College Department of Zoology Jaipur (Raj) Jaipur India J.N.K.V.V. College of Agriculture Powarkheda India Department of System Programming South Ural State University Chelyabinsk Russia Department of Communications and Electronics Delta Higher Institute of Engineering and Technology Mansoura Egypt School of Engineering and Technology Amity University Kolkata Kolkata India Laboratory of Applied Neurosciences - LAN/USJ University of Saint Joseph West Hartford China

Quality of life in general population before and during pandemic is topic need to be address by researcher in terms of mobility, self-care, usual activities, pain/discomfort and anxiety/depression. The study was carried out among Saudi population. Data were collected from general population using questionnaire during the period from 22 August 2021 to 10th January 2022. As a result, total 214 participants have included in this study. Among them prevalent age group include 40 years (n= 63, 29.4%) shadowed by the age group 25-35 (n= 61, 28.5%) while above 60 years group were least frequent (n= 1, 0.5%). On questioning the applicants whether they were satisfied with their health and how would they rate their quality of life, their answers were as follows: yes, or satisfied (n= 86, 40.2%), very Satisfied (n= 102, 47.7%) Dissatisfied (n= 11, 5.1%) and neither satisfied nor dissatisfied (n= 15, 7%). Due to pandemic, they were rate quality of life very good (n= 94, 43.9%), good (n= 63, 29.4 %) poor (n= 5, 2.3 %) and neither good and nor poor (n= 52, 24.3 %). During pandemic 96 participants feel no change in their weight but 110 participants respond that there is increase in coffee intake during the pandemic. Similarly increased in smoking habits and decrease rate in social activities (n=119,41.4%). The psychosomatic well-being of people has been interrupted by disturbing their social activities during pandemic.

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Forecasting Nonlinear Nonstationary Processes in Machine Learning Task

Forecasting Nonlinear Nonstationary Processes in Machine Lea...

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IEEE International Conference on Data Stream Mining & Processing (DSMP)

作者： Peter Bidyuk Aleksandr Gozhyj Irina Kalinina Victoria Vysotska Mikhail Vasilev Romanna Malets Department of Mathematical Methods of System Analysis National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" Kyiv Ukraine Department of Intelligent Information Systems Petro Mohyla Black Sea National University Nikolaev Ukraine Department of Information Systems And Networks National University "Lvivska politechnika" Lviv Ukraine Programming Department Ivan Franko Lviv National University Lviv Ukraine

ISBN: (数字)9781728132143

ISBN: (纸本)9781728132150

The article discusses the features of the solving the forecasting problems using machine learning techniques. The issues of accounting and correctly processing non-linear non-stationary processes in the problems of modeling and forecasting time series in various areas are considered. The analysis of stages and methods for solving machine learning problems. As an example, consider the problem of predicting currency pairs based on historical data. A comparative analysis of the normalization methods in data clustering is given. For the six currency pairs a short-term forecast is proposed.

关键词： Forecasting Time series analysis Machine learning Load modeling Currencies Predictive models Classification algorithms

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Retraction notice to “Computational modeling of wave propagation in plasma physics over the Gilson–Pickering equation” [Res. Phys. 50 (2023) 106579]

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Results in Physics 2025年 72卷

作者： Xia Liu Baraa Abd Alreda Jalil Manafian Baharak Eslami Mehdi Fazli Aghdaei Mostafa Abotaleb Ammar Kadi North University of China School of Innovation and Eentrepreneurship Taiyuan Shanxi 030051 China Department of Medical Physics Al-Mustaqbal University College Hillah Babylon Iraq Department of Applied Mathematics Faculty of Mathematical Sciences University of Tabriz Tabriz Iran Natural Sciences Faculty Lankaran State University 50 H. Aslanov str. Lankaran Azerbaijan Department of Physics Payame Noor University P.O. Box 19395-4697 Tehran Iran Department of Mathematics Payame Noor University P.O. Box 19395-4697 Tehran Iran Department of System Programming South Ural State University Chelyabinsk Russia Department of food and biotechnology South Ural State University Chelyabinsk Russia

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