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The project of the intellectual information system for student knowledge testing

Pytlenko T., Kunanets N., Mumchur N.

ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes

2019

Vol. 8, No 2

69--73

The intellectual information system for student knowledge assessment designed for owners of mobile devices based on Android operating system. The main purpose of the system is to make the process of student knowledge assessment faster and easier through automation of passing the test. The system also provides an additional opportunity for students to test their knowledge by themselves and receive explanations to the questions.

Dynamic characteristics of perspective touristic information technologies

Artemenko O., Kunanec N., Pasichnyk V., Savchuk V.

ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes

2015

Vol. 4, No 4

107--118

The article is devoted to modern tendency and problems in the development of information technologies in the sphere of tourism. The aim of this paper is system analysis and identification of prospective areas of information technology in the field of tourism. The basic trends shaping the prospects for improvement in the information technology tools oriented to full and quality to meet the needs of ordinary tourists are consolidation of information resources in tourism; intellectualization of functions for software and applications, information technology and systems; interface virtualization environment for information systems, oriented to the needs of tourists; mobilization of tourists information technology support in the exercise of his trip; personalization tourist information needs, taking into account its specific individual requests tastes and preferences. All of them are analysed and described in the article. As a result author distinguished the main problems in the sphere of information technologies for tourist domain and main perspective spheres of next researches.

The method for detecting plagiarism in a collection of documents

Shakhovska N., Shvorob I

Applied Computer Science

2015

Vol. 11, no 3

56--66

The development of the intelligent system for searching for plagiarism by combining two algorithms of searching fuzzy duplicate is considered in this article. This combining contributed to the high computational efficiency. Another advantage of the algorithm is its high efficiency when small-sized documents are compared. The practical use of the algorithm makes it possible to improve the quality of the detection of plagiarism. Also, this algorithm can be used in different systems text search.