scholarly journals Processes of uniform pseudo-random search of global extremum at current stage of computer technology development

2016 ◽  
Author(s):  
Svetlana Yurievna Smirnova ◽  
Author(s):  
Peter J. Bentley

There's a hidden science that affects every part of your life, a science so powerful that you would be hard-pressed to find a single human being on the planet unaffected by its achievements. It is the science behind computers, the machines which drive the supply and creation of power, food, medicine, money, communication, entertainment, and most goods our stores. It has transformed societies with the Internet, the digitization of information, mobile phone networks, and GPS technologies. Written in friendly and approachable language, Digitized provides a window onto the mysterious field from which all computer technology originates, making the theory and practice of computation understandable to the general reader. This popular science book explains how and why computers were invented, how they work, and what will happen in the future. Written by a leading computer scientist, Peter J. Bentley, it tells this fascinating story using the voices of pioneers and leading experts interviewed for the book, in effect throwing open the doors of the most cutting-edge computer laboratories. Bentley explores how this young discipline grew from the early work by pioneers such as Turing, through its growth spurts in the Internet, its difficult adolescent stage where the promises of AI were never achieved and dot-com bubble burst, to its current stage as a semi-mature field, capable of remarkable achievements. Packed with real-world examples, Digitized is the only book to explain the origins and key advances in all areas of computing: theory, hardware, software, Internet, user interfaces, virtual reality, and artificial intelligence. If you have an interest in computers--whether you work with them, use them for fun, or are being taught about them in school--this book will provide an entertaining introduction to the science that's changing the world.


2013 ◽  
Vol 441 ◽  
pp. 1060-1063
Author(s):  
Hui Ling Yu ◽  
Hao Liang ◽  
De Lin Fan

Man-made boards often made use of waste wood materials. China is one of the worlds largest manufacturers and consumers of man-made board applications. Application of the law of evolution with a S-shaped curve could contribute essentially to the accuracy of the long-term forecast. This research seeks to determine the current stage and the position on the S-curve of man-made board technology in China on the TRIZ evolution theory and introduce a methodology which combines patent analysis and technology life cycle forecasting to find a niche space of man-made technology development in China.


2020 ◽  
pp. 12-21
Author(s):  
Marina Ozhiganova ◽  
Anastasia Kalita ◽  
Yevgeny Tishchenko

Over the past few decades, there has been a tendency to minimize the participation of the human factor in various production and other processes. This process is implemented through the mass introduction of automated systems (as). Human-machine complexes are currently the most common and productive model of activity. At the current stage of technology development, the process of automating human activity is only an intermediate link on the way to eliminating human intervention. This area is most relevant for systems that pose a potential and real threat to human health and life (for example, manufacturing plants) or systems that are threatened by humans (for example, transport systems). The second group includes the sphere of information security. The paper considers the basics of the organization of adaptive information protection systems, their application areas for information protection and methods of building models of adaptive information protection systems in the context of their application for protection against leakage through technical channels. The authors propose a generalized model of the adaptive information protection system against leakage through technical channels.


2021 ◽  
pp. 4-10
Author(s):  
Pavel A. BUTYRIN ◽  
◽  
Michael E. ALPATOV ◽  

The problem of combining analytics and digitalization in electrical engineering is considered. It is noted that the genesis of digitalization (the development of modern mathematical modeling methods, construction of computers, and development of information technologies) is associated with the military confrontation of great powers, and its development is associated with business. The individual stages of digitalization in electrical engineering are highlighted, and the features and conditionality of these features are noted. Attention is focused on information technologies, neural networks, digital twins, and artificial intelligence. The computer technology development level in Russia is assessed. The problem of creating digital twins of transformers is specially considered. It is shown that the analytical theory of transformers, in which analytical interrelations are established between the electromagnetic, structural, operating, and circuit parameters of transformers, makes it possible to determine, in a highly accurate manner, the set of the most informative electromagnetic (nameplate) parameters of a transformer based on the measurement of currents and voltages of its windings. Such mapping of measurement data into control data is given. It is noted that analytics is underestimated and has good prospects as a concept of solving problems for creating digital counterparts and for the digitalization process itself.


1989 ◽  
Vol 29 (1) ◽  
pp. 112-117 ◽  
Author(s):  
S.M. Ermakov ◽  
A.A. Zhigyavskii ◽  
M.V. Kondratovich

Author(s):  
Yevgeniy Bodyanskiy ◽  
Alina Shafronenko ◽  
Iryna Pliss

The problem of fuzzy clustering of large datasets that are sent for processing in both batch and online modes, based on a credibilistic approach, is considered. To find the global extremum of the credibilistic fuzzy clustering goal function, the modification of the swarm algorithm of crazy cats swarms was introduced, that combined the advantages of evolutionary algorithms and a global random search. It is shown that different search modes are generated by a unified mathematical procedure, some cases of which are known algorithms for both local and global optimizations. The proposed approach is easy to implement and is characterized by the high speed and reliability in problems of multi-extreme fuzzy clustering.


2019 ◽  
Vol 85 (1(I)) ◽  
pp. 72-77 ◽  
Author(s):  
S. M. Ermakov ◽  
D. N. Semenchikov

A new known modification for simulation of annealing to search the global extremum of the functions of many variables uses the fact that the function whenn→ ¥ converges to the δ-function concentrated at the point of global maximum off(x). The case when the function has many equal extrema is discussed in detail. Problems of this type are often present, particularly in the design of regression experiments. Here we introduce the reader to an extremum search method that is effective in solving a wide range of applied problems, and also illustrate the use of the method in some of the simplest problems of designing the regression experiments. The proposed modification of simulated annealing uses quasi-random search at the intermediate stages. This is not the most rapid, but very reliable method which provide a complete exploring of the function domain. When solving numerical examples, the so-called exactD-optimal designs are constructed, which are very difficult to be obtained by other methods. Although with the increase in the number of variables, the complexity of the method (as well as the complexity of other well-known methods) increases dramatically due to an increase in the order of the determinant, the proposed algorithm is simple, reliable, and easily parallelized. It is known that the gain from using optimal designs in some cases can justify any computational costs of developing those designs. Using the described technique, the reader will be able to construct (even using the laptop capacity) the optimal designs in different areas at moderate values of the parameters (for example, for quadratic regression for s variables in variables fors≤ 10).


1984 ◽  
Vol 28 (1) ◽  
pp. 136-141 ◽  
Author(s):  
S. M. Ermakov ◽  
A. A. Zhiglyavskii

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