Prva međunarodna naučna konferencija

BEZBJEDNO

URBANO

MOBILNO

Vol. 1 No. 2 (2011): JITA - APEIRON

Nevzudin Buzađija

The Way of Students’ Efficiency Improvement in Knowledge Acquisition and Transfer Knowledge Model in Clarolina CMS

Original scientific paper

DOI: https://doi.org/10.7251/JIT1102127B

Abstract

In this work, throughout the research which was organized in one high school in Bosnia and Herzegovina, it will be shown the influence of exercises on the final result in the e-learning environment at the final test done by students. The research was conducted from the subject informatics in the I, II and III grade. The type of the questions were of multiple choices, addition and accession. The aim was to see how much influence these online exercises have on the final outcome which is demonstrated through the final informatics test done by students and which is done in a classical way in classroom after the finished teaching materials that were planned according to high school rules. In the research, it was taken account of making all preconditions available for easy experiment conducting with regard to technical securing preconditions for students access to blended system of teaching. Concerning the recent experience, it is noticeable that youth like the use of IT and communication devices. In order to secure all necessary conditions, it was conducted the survey among students about having technical preconditions of online access to testing and about students knowledge of work principle in the Claroline LMS platform. The aim was to increase motivation of high school students with regard to the use of online materials, because in high schools of Bosnia and Herzegovina almost nothing is undertaken when it comes to the implementation of new IKT possibilities.

Keywords: knowledge transfer, blended learning, Claroline, e-learning, exercises, motivation and web technology.

Vol. 26 No. 2 (2023): JITA - APEIRON

Igor Shubinsky, Alexey Ozerov

Application of Artificial Intelligence Methods for the Prediction of Hazardous Failures

Original scientific paper

Abstract

The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures.

Keywords: predictive analysis, maintenance, functional safety, Big Data, Data Science, risk indicators.

Vol. 26 No. 2 (2023): JITA - APEIRON

Igor Shubinsky, Alexey Ozerov

Application of Artificial Intelligence Methods for the Prediction of Hazardous Failures

Original scientific paper

Abstract

The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures.

Keywords: predictive analysis, maintenance, functional safety, Big Data, Data Science, risk indicators.