Human resources have recently reasonably gained more and more importance. Today, along with material, intellectual, informational and financial resources, they affect the efficiency of enterprises and organizations. Competent assessment of human resources, a clear understanding of means of interaction with staff and developing human potential are the basis for the effective work of both human resources departments and organizations as a whole. The complexity of assessing human resources necessitates the development of a toolkit, the use of which will simplify it and ensure that one receives the most accurate advice and assistance in making management decisions. A promising direction for the implementation of the designated toolkit may be the development of a decision support system, within which, among other things, the possibility of a multi-criteria analysis of alternatives will be available. Due to the fact that there are no methods for multi-criteria analysis of alternatives intended solely for assessing human resources, it is necessary to conduct a thorough analysis, the main purpose of which is to identify the most suitable basis for further adaptation and development. After conducting preliminary studies, the TOPSIS, MAUT, AHP and ELECTRE methods were chosen as the most promising for solving the problem
The development of the city can go in two ways-extensive and intensive. Intensive involves a qualitative rethinking of the necessary work, optimization and improvement on the basis of existing infrastructure. An extensive method of development is an increase in physical volumes, for example, an increase in territories. At the moment, the transport system of the city of Krasnodar is extremely busy. The city occupies one of the first places in the number of vehicles, roads with such a traffic load cannot cope, resulting in numerous congestion on the roads. In addition, an average of 150 thousand cars enter the city every day, and this creates an additional burden on the transport system. In the morning there is a large influx of cars from the main entrances to the city. And in the evening there is no less strong loading points of entry into the city, as those who arrived in the morning leave the city. Information technology is designed to save our time and effort. At the same time, one of the problems that "eats" time is traffic jams. You can get from one place to another at one time, but subject to traffic jams, this time can increase several times. Why not use technical and software tools to solve this problem!? Now almost everyone has a smartphone, with a satnav loaded into it. There are many variations of these navigators with approximately the same functionality. But what if the satnav in your smartphone not only chose the shortest path for you, but also helped in unloading traffic throughout the city, reducing traffic congestion to a minimum?
The article studies current state of fertility and productivity of leached chernozem used in the 11-field grain-grass-row crop rotation. Under the conditions of a stationary field experiment, a soil section was laid, a morphological description of the soil was carried out, its magnetic susceptibility χ was measured, soil samples were selected from soil-genetic horizons, in which the particle size distribution, physical and chemical parameters were determined. Studies have shown that leached chernozem is characterized by an addition density of 1.30 g/cm3, a solid phase density of 2.67 g/cm3, a total porosity of 51.9 %, χ = 1,045 × 10-3 units SI, pHwat. 6.5 units, humus content 3.2 %, its stock in the layer A + B = 468.2 t/ha, the sum of the exchange Ca2+ and Mg2+ 42.8 mg.eq./100 g. The use of mineral fertilizers increases the productivity of leached chernozem: the yield of sunflower of 11-field grain-grass-row cultivated crop rotation exceeds the control without fertilizers by 1.02-1.62 t/ha
The article discusses modern approaches to the implementation of the migration of virtual machines between different virtualization platforms. A comparative characteristic of virtual migration tools is given. Conclusions are drawn on the expediency of applying different approaches depending on the task facing migration and available resources. The author presents a technique for migrating virtual machines from VMware vSphere virtualization platform to Microsoft Hyper-V virtualization platform, which allows to increase the speed and reliability of the migration process and significantly save on operating costs of the company
The purpose of this work is to estimate the probability of synchronization of the memory bandwidth during the initial synchronization occurrence in REB conditions, due to the time interval when the attacker did not begin to interfere
The article discusses the concept and the principles of the organization of neuro-fuzzy management of an innovation-active enterprise based on intelligent technologies and high-performance computing tools. The developed information model provides operational control of the current situations caused by innovations in the complex dynamic conditions of the changing market conditions. Particular attention is paid to solving the problem of planning operations and developing management decisions when implementing the principle of competition in the face of uncertainty and incompleteness of the initial information. The developed software implementation of the fuzzy ranking of management solutions options is publicly available on ws-dss.com
In the process of formation of nonlinear dynamics, the scientific society was able to refute the classical mechanisms of Newton-Laplace by justifying the chaotic nature of the phenomena of the world. However, despite the emergence of new mathematical models and tools, forecasting of nonlinear systems is a difficult task, as not only the quantitative and qualitative characteristics of the factors affecting the system are unknown, but also there is a problem of a small amount of information for forecasting. In this article, the authors consider the linear cellular apparatus as a tool for prediction the final state, to which the system will come based only on its output indicators of previous years. Since the use of a linear cellular automaton for prediction of nonlinear systems is an assumption of the authors, it should be tested on the series of stochastic systems exposed to different risk factors, which together give either a positive response of the system or a negative one. An example of such series is the time series of yields, as it is affected by climatic conditions, the appearance of which, in turn, is also difficult to predict. Prediction of stochastic systems using linear cellular automaton really makes it possible to get adequate and visual models. Due to the fact that the forecast model has a discrepancy with the real result of 0-15% (both positive and negative), the conclusion is that the predicted value will help either to take measures to ensure that the real value in the future is not lower, or to make sure that the decisions and measures taken are correct, when a value is higher than the forecast
In on-land and underground structures, machines and mechanisms, in many cases, we use rod structural elements made of viscoelastic materials. One of the methods for studying the strength characteristics of rods is the experimental measurement of the velocity of propagation of deformation waves in them and comparing it with theoretically accurate values of the velocity, determined taking into account the real physical and mechanical properties of the material. This comparison allows us to analyze the presence of microdefects in the rods. To assess the economic and operational reliability of building structures using mathematical modeling, we study the characteristics of nonlinear wave processes in viscoelastic rods, which can be used to improve the acoustic diagnostics of material microdefects
This work is devoted to revealing some opportunities of the research of a subject to modeling by a research of its model given by the ASC-analysis and the Eidos system
In previous works, the authors solved the problem of cognitive structuring and formalization of the subject area, synthesis and verification of system-cognitive models, predicting the impact of nomenclature and sales volumes on the profit and profitability of the trading company, decision support for the selection of such nomenclature and sales volumes, which cause a given target profit and profitability of the company. This work is devoted to the study of the simulated subject area by studying its SC-model