Advances in Computer Science for Engineering and Education II

1. Computer Science for Manage of Natural and Engineering Processes

   1. Training Platform Construction of Omni-Media Live Broadcast of Sport Event

      • Ziye Wang, Qingying Zhang, Mengya Zhang

      Pages 205-216

   2. A Multi-object Tracking Method Based on Bounding Box and Features

      • Feng Liu, Wei Jia, Zhong Yang

      Pages 217-227

   3. Traffic Orchestration in Data Center Network Based on Software-Defined Networking Technology

      • Yurii Kulakov, Alla Kohan, Sergii Kopychko

      Pages 228-237

   4. Software/Hardware Co-design of the Microprocessor for the Serial Port Communications

      • Oleksii Molchanov, Maria Orlova, Anatoliy Sergiyenko

      Pages 238-246

   5. Hardware Implementation Neural Network Controller on FPGA for Stability Ball on the Platform

      • Peter Kravets, Volodymyr Shymkovych

      Pages 247-256

2. Perfection of Computer Algorithms and Methods

   1. Front Matter

      Pages 257-257

      PDF

   2. Convolution Polycategories and Categorical Splices for Modeling Neural Networks

      • Georgy K. Tolokonnikov

      Pages 259-267

   3. Algorithms for Forming a Knowledge Base for Decision Support Systems in Cybersecurity Tasks

      • V. A. Lakhno

      Pages 268-278

   4. Digital Signature Authentication Scheme with Message Recovery Based on the Use of Elliptic Curves

      • Svitlana Kazmirchuk, Ilyenko Anna, Ilyenko Sergii

      Pages 279-288

   5. Decomposition Method for Synthesizing the Computer System Architecture

      • Vadym Mukhin, Nina Kuchuk, Nataliia Kosenko, Roman Artiukh, Alina Yelizyeva, Olga Maleyeva et al.

      Pages 289-300

   6. Method of Distributed Two-Level Storage System Management in a Data Center

      • Eduard Zharikov, Sergii Telenyk, Oleksandr Rolik

      Pages 301-315

   7. Probability Models for Validity Evaluation

      • Drobiazko Iryna, Sapsai Tetiana, Tarasenko Volodymyr, Teslenko Olexandr

      Pages 316-324

   8. Data Warhouses of Hybrid Type: Features of Construction

      • Valentyn Tomashevskyi, Andrii Yatsyshyn, Volodymyr Pasichnyk, Nataliia Kunanets, Antonii Rzheuskyi

      Pages 325-334

   9. Routing Method Based on the Excess Code for Fault Tolerant Clusters with InfiniBand

      • Goncharenko Olexandr, Pavlo Rehida, Artem Volokyta, Heorhii Loutskii, Vu Duc Thinh

      Pages 335-345

   10. The Methods to Improve Quality of Service by Accounting Secure Parameters

       • Tamara Radivilova, Lyudmyla Kirichenko, Dmytro Ageiev, Vitalii Bulakh

       Pages 346-355

   11. Keystroke Pattern Authentication of Computer Systems Users as One of the Steps of Multifactor Authentication

       • Olena Vysotska, Anatolii Davydenko

       Pages 356-368

   12. Complexity Estimation of GL-Models for Calculation FTMS Reliability

       • Alexei Romankevich, Ivan Maidaniuk, Andrii Feseniuk, Vitaliy Romankevich

       Pages 369-377

   13. Game Method of Event Synchronization in Multi-agent Systems

       • Petro Kravets, Volodymyr Pasichnyk, Nataliia Kunanets, Nataliia Veretennikova

       Pages 378-387

   14. Optimization of the Method of Technical Analysis of Cryptocurrency Price Differences Movements

       • Lesya Lyushenko, Anastasiia Holiachenko

       Pages 388-397

   15. Statistical Research of Efficiency of Approximation Algorithms for Planning Processes Automation Problems

       • Alexander Anatolievich Pavlov, Elena Borisovna Misura, Oleg Valentinovich Melnikov, Iryna Pavlovna Mukha, Kateryna Igoryvna Lishchuk

       Pages 398-408

This book gathers high-quality, peer-reviewed research papers presented at the Second International Conference on Computer Science, Engineering and Education Applications (ICCSEEA2019), held in Kiev, Ukraine on 26–27 January 2019, and jointly organized by the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” and the International Research Association of Modern Education and Computer Science. The papers discuss state-of-the-art topics and advances in computer science; neural networks; pattern recognition; engineering techniques; genetic coding systems; deep learning and its medical applications; and knowledge representation and its applications in education. Given its scope, the book offers an excellent resource for researchers, engineers, management practitioners, and graduate and undergraduate students interested in computer science and its applications in engineering and education. 

• Engineering
• Information Technologies
• Education Applications
• Software Engineering
• ICCSEEA2019

• School of Educational Information Technology, Central China Normal University, Wuhan, China

  Zhengbing Hu

• Mechanical Engineering Research Institute of the Russian Academy of Sciences, Moscow, Russia

  Sergey Petoukhov

• “Igor Sikorsky Kiev Polytechnic Institute”, National Technical University of Ukraine, Kiev, Ukraine

  Ivan Dychka

• Halmos College of Natural Sciences and Oceanography, Nova Southeastern University, Ft. Lauderdale, USA

  Matthew He

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