Econtechmod. – 2016. – Vol. 5, No. 2

Permanent URI for this collectionhttps://ena.lpnu.ua/handle/ntb/33738

Науковий журнал

International quarterly journal on economics in technology, new technologies and modelling processes.

Econtechmod : an international quarterly journal on economics in technology, new technologies and modelling processes. – Lublin ; Rzeszow, 2016. – Volum 5, number 2. – 135 p.

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    Basic concepts of evolution in agents calculating and agents system
    (Commission of Motorization and Energetics in Agriculture, 2016) Boyko, N.; Kutyuk, O.
    The basics concepts of evolution in agents calculating are discovered in this work and are showed their directions and applications. Before explaining what is agent and its description, there were given a bit of its history and the difference between agents and programs. Were given basic types of agents on examples and figures. The main task of agents is to require a large number of interactions for which most mathematical modeling methods are unsuitable. Were analyzed agent systems architecture and a description of their main parts. Principles of work with mobile and intelligent agents are considered. Furthermore, were exemplify the reasons and situations of use either intelligent agents or mobile agents. Also, their examples were showed on different examples and figures. Technology and application tools which uses in the process are represented. Analysis of JADE-technology are carried out. On the market today there are analogues of JADE, but most of the systems are relatively new and require many improvements, some are under development prototypes. Also, were given description of main tools and features of JADE. It will help a lot in elaboration of agents. Advantages and disadvantages of using agent approach are showed for creating system of data processing and they show their versatility compared with other systems.
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    Using the finite element method in the modeling of layered composite delamination
    (Commission of Motorization and Energetics in Agriculture, 2016) Tucki, K.
    The article presents issues associated with an analysis of the process of delamination of fibrous composite using the Finite Element Method. Research encompassed three computer modelling sessions for delamination of the material for three different values of distance between the test force application point and the middle of the laminate. The results, encompassing the force value and displacement, were then compared to identify the correlation between these variables and the distance from the force application point. The model correctness was also verified by comparing the value of forces modelled with the real values, obtained during an experiment. On the basis of the results obtained with regard to the size of the force applied, it was concluded that the numerical model represented well the mathematical model presented by Comanho. The negative result errors were due to the increased sensitivity of the software to the laminate fracture phenomenon, occurring during the experiment. Thanks to good representation of the model, it can be used interchangeably with numerical calculations.
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    Generalized formal model of Big Data
    (Commission of Motorization and Energetics in Agriculture, 2016) Shakhovska, N.; Veres, O.; Hirnyak, M.
    This article dwells on the basic characteristic features of the Big Data technologies. It is analyzed the existing definition of the “big data” term. The article proposes and describes the elements of the generalized formal model of big data. It is analyzed the peculiarities of the application of the proposed model components. It is described the fundamental differences between Big Data technology and business analytics. Big Data is supported by the distributed file system Google File System technology, Cassandra, HBase, Lustre and ZFS, by the MapReduce and Hadoop programming constructs and many other solutions. According to the experts, such as McKinsey Institute, the manufacturing, healthcare, trade, administration and control of individual movements undergo the transformations under the influence of the Big Data.