Algorithms. Information. Expressiveness: Retrospective View.
Focus is on the processing, transmission, storage, and use of information, as well as the foundation of the communications process. Technical interests encompass theoretical and applied aspects of coding, communications, and communications networks.
Information theory studies the quantification, storage, and communication of information. It was originally proposed by Claude E. Shannon in 1948 to find fundamental limits on signal processing and communication operations such as data compression, in a landmark paper entitled “A Mathematical Theory of Communication”.
Prof. Anatoly Anisimov
Taras Shevchenko National University of Kyiv, Ukraine
Anayoly V. Anisimov was born on June 15, 1948. He was awarded the diploma in mathematics (1970), PhD (1973) and Doctor’s degree (1983) in Computer Science from Taras Shevchenko National University of Kyiv, Ukraine.
He is Professor of Computer Science at Taras Shevchenko National University of Kyiv since 1984; Head of Department of Mathematical Informatics. In 1977 he worked as a Visiting Scientist at the Stanford University, Stanford, USA. He coauthored with D. Knuth the paper “Inhomogeneous Sorting”, published in the International Journal of Computer and Information Sciences, vol. 8, no. 4, 1979. His research interests include algorithms, codes, parallel programming, information security, artificial intelligence.
Prof. Anisimov is a Corresponding Member of the National Academy of Sciences of Ukraine and IEEE Member.
Applications of fundamental topics of information theory include lossless data compression (e.g. ZIP files), lossy data compression (e.g. MP3s and JPEGs), and channel coding (e.g. for DSL). Its impact has been crucial to the success of the Voyager missions to deep space, the invention of the compact disc, the feasibility of mobile phones, the development of the Internet, the study of linguistics and of human perception, the understanding of black holes, and numerous other fields.
A key measure in information theory is “entropy”. Entropy quantifies the amount of uncertainty involved in the value of a random variable or the outcome of a random process. For example, identifying the outcome of a fair coin flip (with two equally likely outcomes) provides less information (lower entropy) than specifying the outcome from a roll of a die (with six equally likely outcomes). Some other important measures in information theory are mutual information, channel capacity, error exponents, and relative entropy
Add Your Heading Text HereOptimization of functions of two variables by deformed stars method
A large number of modern practical problems belong to the class of constraint satisfaction problems. The target functions in such tasks are, as a rule, undifferentiated and(or) poly-extremal dependencies. The use of classical methods of continuous optimization, and in many cases discrete optimization, is impossible. Stochastic search, combinatorial optimization methods, and evolutionary algorithms are used to solve such tasks. Because the model of target function can be complex polynomials, neural and neuro-fuzzy networks, systems of simple and fuzzy production rules, and also the dependencies can be set tabularly or algorithmically, then evolutionary algorithms are most often preferred. Exactly, the use of this algorithms does not require strict target functions constraints, but does not guarantee the finding of a global optimum, although according to certain conditions there is a probability convergence. The obtained solutions are considered suboptimal.
Prof. Vitaliy Snytyuk, Faculty of Information Technology
Taras Shevchenko National University of Kyiv, Ukraine.
Prof. Vitaliy Snytyuk was born on 13 August, 1967.
Vitaliy Y. Snytyuk received the MSc. degree in mathematics (probability theory) from Taras Shevchenko National University of Kyiv, in 1991, the Ph.D. degree in Information Technology of Design from Kyiv National University of Construction and Architecture, in 1999, and the Dr.Sci. degree in Information Technology from Institute of Mathematical Machines and Systems Problems of the Ukraine National Academy of Science, in 2009.
From 2014 he is a Head of Intelligent Technologies Department, Taras Shevchenko National University of Kyiv.
His main research areas are evolutionary computation, data analysis, decision making under uncertainty, and their applications. He has coauthored some 180 papers in journals and international conferences, and has two patents.
This paper is devoted to the consideration of optimization problem for function of two variables, which, in the general case, is poly-extremal and undifferentiated. One of the most commonly used methods of solving this problem are evolutionary algorithms. A deformed stars method was developed, where the population of solutions is 3-, 4-, and 5-points groups. The advantages of the developed method in comparison of genetic algorithms, evolutionary strategies and differential evolution as the most typical evolutionary algorithms are shown.
The information technology infrastructure: models, methods and technologies of design, management and use
The directions of the IT industry development and view at the IT infrastructure as a scientific and technical basis of the information society are considered. Based on the definition of IT infrastructure, a new concept of IT infrastructure is introduced.
The common scientific and practical tasks of designing, managing and using of IT infrastructures and their components – networks, IT, information resources and services, applications are considered. The methodological aspects of supporting the processes of designing, managing and using the IT infrastructure are outlined. Models and methods of IT infrastructure design are considered. Models, methods and technologies of management of IT infrastructure and its components are considered. Models, methods and technologies of software development for providing information and communication services are considered.
The features of design, management and use of cloud IT infrastructures are analyzed. The elements of activity automation of cloud services providers and users are presented.
Prof. Sergii Telenyk. Igor Sikorsky Kyiv Polytechnic Institute
Prof. Sergii Telenyk was born on June 7, 1952.
In 1975 he graduated from Igor Sikorsky Kyiv Polytechnic Institute, which is connected with further scientific and educational activity. In 1982 he got PhD degree, and in 2000 – doctor of science degree. From 2001 till 2018 he headed the department of automation and control in technical systems. From 2018 till now – Dean of the Faculty of Informatics and Computer Engineering.
Participated in the development of a number of large special purpose information management systems. He has prepared 7 PhD and 2 doctors of sciences.
Telenyk is the author of more than 200 scientific and methodological works, including 5 monographs.
Winner of the State Prize of Ukraine in Science and Technology.
Samsung: On-Cloud vs On-Device: trends and challenges of AI in consumer electronics domain.
The presentation describes main challenges of applying solutions based on dominating approaches in artificial intelligence for mass consumer electronics markets their drawbacks and pain points that drive potential areas of future researches.
Andriy Fisunenko, PhD, Vice Presedent in R&D, Samsung Research & Development Institute Ukraine
Master Degree in Theoretical Nuclear Physics, Moscow Engineering Physics Institute, 1994.
PhD in Mathematical Foundations of Computer Science, Taras Shevchenko National University of Kyiv, 2016.
Since 1997 has been leading research and development teams focusing on creation of complex information systems and innovation activities.
A proactive believer of Open Innovation and Open Source models as a future of high tech companies and their ecosystems.
Comp. Saycom: New industry philosophy - new science. X-Machine
Saycom company. X-Machine.
Establishes secure channels of communication for global digital mobile networks. X-Machine is an autonomous wireless terminal with built-in GSM 3G-4G modem and internal SIM card designed to encrypt and decrypt your private data and be small enough to fit in your pocket.
A powerful presence in a realm of information security.
Olga Filippova, Commercial Director Comp. Saycom.
Education – Tver State University. Specialty – Applied Physics.
Work: «Orekh» Еnterprise, since 2002 – the Saycom Сompany.