Headings of the journal
"Educational Resources and Technologies"

Annotation: The article analyzes the complexity of algorithms of the first kind. The features are analyzed according to which the algorithm can be classified as an algorithm of the first kind. A new concept is introduced in the theory of algorithmic complexity “algorithm efficiency”. The difference between algorithms of the first and second kind is shown on the example of deterministic and non-deterministic Turing machines. The computational model is disclosed on the example of a Turing machine. A generalized model of algorithms of the first kind is given. The content is revealed and the necessity of the concept of asymptotic complexity is substantiated. Basic analysis is performed with classes and types of time complexity. Examples are given and the analysis of algorithms of constant time and linear time is given. The conventionality of some types of complexity is noted. It consists in the fact that algorithms that belong to the same class or type of complexity physically use different computation times. A situation is noted in which a simpler type of complexity spends more time on calculations than a more complex one. The drawback of the existing theory of algorithmic complexity is noted – the exclusion of the cognitive factor and cognitive complexity from the analysis of complexity. This is due to the exclusion of the concept of the effectiveness of an algorithm when analyzing or assessing complexity. The existing theory of complexity focuses on computation and computation time. But the main thing in the calculations is the result. If the result of the calculations is not qualitative or unclear, then the computation time loses its importance. Accordingly, the assessment of complexity classes should be tied not only to time, but also to the quality of the result. Results of further research are outlined.

Annotation: The article examines the current state of high-performance spatial information processing. This information is characterized by large amounts of information, a variety of data types and formats. One of the main methods of processing large-volume spatial information is parallel computing. There are various ways to implement parallel computing. The article reveals the features of implementing high-performance spatial data processing based on parallel computing. The features of different approaches to spatial data modeling are revealed, depending on the type of problems to be solved. The main features that characterize spatial data that relate to big data are highlighted. It is noted that the use of high-performance spatial data processing as a tool for analysis and decision-making is due to three reasons: expanding the capabilities of measurement systems; improving spatial models and methods for solving complex spatial problems; and increasing the performance of computing systems. The article typifies the features of using methods of high-performance processing of large spatio-temporal data, which are the basis of information support for geoinformation systems.

Annotation: The life cycle determines the period and quality of functioning of systems and products. Since the life cycle model is used in many directions, research on the conditions for its increase is relevant. The software lifecycle is an important characteristic, since it defines the lifecycle of the information system that the software is part of. In particular, the life cycle of training systems is related to the life cycle of software. The article examines the life cycle of training systems and the impact of software on it. The article introduces three concepts of objects according to the life cycle criterion: objects-carriers of the life cycle; objects with a managed life cycle; objects with a dependent life cycle. Depending on the type of object, life cycle models are considered for different situations. The difference between the dissipation and degradation of objects - carriers of the life cycle (as a process of attenuation of development and the process of deterioration of characteristics over time) is shown. It is shown that software redundancy and regeneration increase the life cycle of training systems. A life cycle resource model is proposed, based on the fact that the volume of resources and the speed of their expenditure determine the life cycle of the system. The main concept of the work is to increase the life cycle of training systems by using software regeneration.

Annotation: The main trends, tasks and prospects of intellectual activity development in the conditions of the modern scientific and technological revolution are considered. Its main result should be the transition of society to a new, sixth technological order, which will radically change all spheres of human life. It is shown that under these conditions, the social significance of new technologies and the humanitarian aspects of their widespread practical use significantly increases. At the same time, the main task of researchers, engineers and other specialists in the field of intellectual activity is to create effective mechanisms for implementing socially significant innovations in practice and to promote free access of the population to new benefits of scientific and technological progress. This is what is becoming the most important tool for solving a number of global problems of our time. Among them, the most acute problems are the increase in poverty and social inequality, which occurs even in the economically developed countries of the world.

Annotation: For the majority of foreign countries, the assessment of research excellence has become an integral part of their policy in the sphere of development of science and technology. A particular focus would be diverted to the research work at universities meanwhile, for those places would often bring new scientific achievements through working out innovations and preparing highly skilled specialists. Despite the importance of the quality-assessment task and quite a long experience, the practice of scientific work evaluation would still betray certain methodological and organizational problems. The article the analysis of various approaches for assessing the quality of scientific research and examines the foreign experience in this field. The features procedure of scientific publications and highlighted subjective and objective factors affecting the quality of the review are noted. The problems of using bibliometric indicators to assess the quality of scientific publications are considered. The article provides a justification for the use of traditional expert assessment of the quality of research in combination with the use of specialized computer software.