Econtechmod. – 2018. – Vol. 7, No. 3

Permanent URI for this collectionhttps://ena.lpnu.ua/handle/ntb/45125

Науковий журнал

An 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, 2018. – Volum 7, number 3. – 72 p.

Econtechmod

Зміст (том 7, № 3)


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Content (Vol. 7, No 3)


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    Context modelling in process of developing employment solutions
    (2018-06-18) Zavushchak, I.; Burov, Ye.; Pasichnyk, V.; Lviv Polytechnic National University
    The intelligent decision making requires the consideration of current contextual information. The article is devoted to construction of formal models for the presentation and usage of contextual information for decision-making in the field of employment. The paper analyses existing approaches to the definition of the concept of context at the conceptual level. The results of comparison of formal context models taking into consideration the requirements for employment business processes are presented. The ontological approach is selected as a basis for contextual models specification. The paper presents the formal representation of the context models for business operations of the employment sector. The model of contextual graphs for the solution of the problem of employment business operations context refinement was developed.
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    Fog computing and Big data in projects of class smart city
    (2018-06-18) Duda, O.; Kunanets, N.; Matsiuk, O.; Pasichnyk, V.; Rzheuskyi, A.; Ternopil Ivan Puluj National Technical University; Lviv Polytechnic National University
    The possibilities of using the information technology of foggy computing, which implements the processes of selecting primary messages from sensory nodes and their processing, and further transferring the results of primary computing to server environments based on information technology platforms of cloud type are analyzed in the article. It is noted that both of the approaches – mist and cloud computing – can be effectively used in a wide range of applications, in particular those that are used in information and technology complexes of “smart cities”. The system of parameters which distinguishes a separate class of information technologies called Big data is analyzed in the paper. The analysis made it possible to fix 10 basic parameters of the so-called 10 v, with the help of which a separate class of information technologies is allocated. Big data technologies, along with the technologies of foggy and cloud computing are elements of a powerful information technology platform that allows us to solve a wide range of problems for smart cities. The authors illustrated the systemtechnological connections of these classes of information technologies and analyzed the possibilities of their use in the context of implementation of the information technology project “Ternopil Smart city”.
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    Building an ontology for system analysis
    (2018-06-18) Burov, Ye.; Pasichnyk, V.; Katrenko, A.; Lviv Polytechnic National University
    System analysis as scientific and engineering discipline underpins research and development in other areas. However, system analysis models and methods are often taught separately and, as a result, system analyst cannot form a holistic understanding of this area. In order to deepen our understanding of system analysis’ concepts and relations the ontology of this area was built. It was constructed based on models and methods of system analysis considered as knowledge patterns. The concept of system was selected as a central concept of ontology. Other important concepts, such as goal, function, decision and process are relating to it. Finally, the applications of created system analysis ontology for teaching system analysis in high school and as a part of semantic grid are discussed.