Parametrical network models of distribution of limited resources in difficult systems

In article effective methods of the temporary analysis and calculation of the generalized network models are offered. On their basis the class of parametrical network models is under construction and applications of such models to problems of distribution of limited resources of difficult systems in the conditions of an intensification of works are considered. A number of terms of scheduling is specified. Conditions of consistency and criteria of resource resolvability of some classes of tasks on such models are investigated

The Specifics of Social and Cultural Determination of the Current Economic Activity

The paper considers the problems of modern economic activities in the socio-cultural context. We study the differences of methodological approaches to the specific understanding of the socio-economic development (in the face of a materialist method of Marx and the method of interpretive sociology M. Weber). The conclusion is that at the present time there is awareness of the need for cultural, ethical and religious institutions in shaping economic behavior in the context of the methodology of Max Weber. The specific character of philosophical concepts which should underlie modern economic activity. It is noted that such philosophical categories as morality, human-dimension, socio-cultural specificity should be the basis of a modern economy. economic development philosophy appears as a philosophy of social wealth, access to, and use of the population for the development of human capital. Keywords: economics, philosophy, society, morality JEL Classifications: Ð’41, Z1

Models of resource planning during formation of calendar construction plans for erection of high-rise buildings

This article provides a methodical description of resource-time analysis for a wide range of requirements imposed for resource consumption processes in scheduling tasks during the construction of high-rise buildings and facilities. The core of the proposed approach and is the resource models being determined. The generalized network models are the elements of those models, the amount of which can be too large to carry out the analysis of each element. Therefore, the problem is to approximate the original resource model by simpler time models, when their amount is not very large

Models of resource planning during formation of calendar construction plans for erection of high-rise buildings

This article provides a methodical description of resource-time analysis for a wide range of requirements imposed for resource consumption processes in scheduling tasks during the construction of high-rise buildings and facilities. The core of the proposed approach and is the resource models being determined. The generalized network models are the elements of those models, the amount of which can be too large to carry out the analysis of each element. Therefore, the problem is to approximate the original resource model by simpler time models, when their amount is not very large

Software implementation of a virtual laboratory bench for distance learning

The article discusses the functional development and integration into the educational process of a virtual laboratory stand, with the aim of digitalizing the educational processes of higher education without loss as educational services related to the completeness of mastering professional competencies in specialized engineering courses. The developed laboratory stand allows simulating technological processes implemented in an apparatus consisting of four connected tanks. Modeling such a complex technological process with many interconnected elements is necessary for the most detailed research and synthesis of automatic control systems for multiply connected objects. The program simulates two control loops, each of which can be switched to manual or automatic operation. To realize the maximum adequacy of the mathematical model, the program provides for the possibility of taking into account the influence of the actuators on the regulation process

Parametrical network models of distribution of limited resources in difficult systems

In article effective methods of the temporary analysis and calculation of the generalized network models are offered. On their basis the class of parametrical network models is under construction and applications of such models to problems of distribution of limited resources of difficult systems in the conditions of an intensification of works are considered. A number of terms of scheduling is specified. Conditions of consistency and criteria of resource resolvability of some classes of tasks on such models are investigated

Lean and energy efficient production based on internet of things (IOT) in aviation industry

Nowadays, the interest to lean manufacturing increases every year and a lot of aviation companies use it on their practice. At the same time, Internet technologies also entered in the production of modern aircrafts. For increasing quality and safety of aviation products, in this article it was suggested to use lean manufacturing and Internet of Things technologies for Russian and Chinese aircraft production systems. There is a successful case study of Boeing company, which achieves great results due to these technologies. For realizing this idea on the practice, at first, it is needed to model and analyze the implementation of this technologies on production system and understand is it profitable or not. In this paper, it was proposed to use Discrete Event Simulation method, which proves its imitation on the real practice and possibility of its realization. The results show that we can easily use ARENA software (which is based on DES modelling) for proving the efficiency of Lean and IoT technologies. In conclusion, it becomes obvious that due to the rapid development of Internet technologies it is necessary to integrate it with the lean manufacturing process and analyze its implementation

Algorithms of hierarchical mixture of opinions of experts in problems of synthesis of information management systems city development

In the present article we will consider a class of associative machines with dynamic structure where the entrance signal exerts direct impact on the mechanism of association of output signals of experts. At the same time we are interested in such group of expert decisions at which separate expert responses unite not linearly through hierarchically organized lock networks. Hierarchical mixture of opinions of experts, along with simple mixture are examples of modular networks: neural network of a module if the calculations executed by it can be distributed on several subsystems processing different entrance signals and not crossed in the work. Output signals of these subsystems unite the integrative module which exit does not possess feedback with subsystems. In fact, the integrative module makes the decision as output signals of subsystems are grouped in the general output signal of system, and identifies what examples are samples for training of concrete modules. The most general definition of modular neural network: any set of algorithms of data processing, including algorithms of the artificial neural networks grouped for the solution of some uniform task. Automatically determine the class of associative machines with dynamic structure where the entrance signal exerts direct impact on the mechanism of association of output signals of experts, at the same time group of expert decisions at which separate expert responses unite not linearly through hierarchically organized lock networks is considered

Algorithms of hierarchical mixture of opinions of experts in problems of synthesis of information management systems city development

In the present article we will consider a class of associative machines with dynamic structure where the entrance signal exerts direct impact on the mechanism of association of output signals of experts. At the same time we are interested in such group of expert decisions at which separate expert responses unite not linearly through hierarchically organized lock networks. Hierarchical mixture of opinions of experts, along with simple mixture are examples of modular networks: neural network of a module if the calculations executed by it can be distributed on several subsystems processing different entrance signals and not crossed in the work. Output signals of these subsystems unite the integrative module which exit does not possess feedback with subsystems. In fact, the integrative module makes the decision as output signals of subsystems are grouped in the general output signal of system, and identifies what examples are samples for training of concrete modules. The most general definition of modular neural network: any set of algorithms of data processing, including algorithms of the artificial neural networks grouped for the solution of some uniform task. Automatically determine the class of associative machines with dynamic structure where the entrance signal exerts direct impact on the mechanism of association of output signals of experts, at the same time group of expert decisions at which separate expert responses unite not linearly through hierarchically organized lock networks is considered

Features of the results of conductometric studies of apple juices

By the conductometric method, the dependence of the specific electrical conductivity (χ) of five apple juice samples on the volume fraction (φ) of apple juice in a solution with distilled water. The dependence χ in the range φ from 0 to 1 acquires a power-law character (the correlation coefficient is close to 1), since a significant part of the mineral composition of apple juices consists of various organic acids. The technique fully complies with the principles of “green” chemistry, since the “waste” is apple juice diluted with distilled water