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To fear or not to fear on cybercrime
Igor Bernik, Bojan Dobovšek, Blaž Markelj, 2013, izvirni znanstveni članek

Opis: To understand cybercrime and its various forms, one must be familiar with criminality in general. How individuals perceive crime, and how much they fear it is further influenced by news media (Crawford, 2007). Van Duyne (2009), who monitored criminality, wrote about changes which started to be noticed twenty years ago and have shaped a new Europe, a territory without inner borders, and so with more mobility and opportunities for the Europeans. But these novelties and changes in the way we work have also caused certain new problems. It can be said that perpetrators of crimes, who are no longer hindered by state borders, now know no geographical limitations. Vander Baken and Van Daele (2009), for example, have researched mobility in connection to transnational criminality. Von Lampe (2007) has established that perpetrators no longer act individually, but frequently work in cooperation with one another. Crime and mobility are being “greased” by money, and have become a part of everyday life (Van Duyne, 2009). An individual’s perception and understanding of criminality is also biased on certain cultural myths in regard to crime (Meško and Eman, 2009).
Ključne besede: cybercrime, perception, fear, threats, opinion
Objavljeno: 06.07.2017; Ogledov: 211; Prenosov: 16
.pdf Celotno besedilo (215,89 KB)

3.
Weibull decision support systems in maintenance
Khalid Aboura, Johnson Agbinya, Ali Eskandarian, 2014, izvirni znanstveni članek

Opis: Background: The Weibull distribution is one of the most important lifetime distributions in applied statistics. Weibull analysis is the leading method in the world for fitting and analyzing lifetime data. We discuss one of the earliest decision support system for the assessment of a distribution for the parameters of the Weibull reliability model using expert information. We then present a different approach to assess the parameters distribution. Objectives: The studies mentioned in this paper aimed to construct a distribution of the parameters of the Weibull reliability model and apply it in the domain of Maintenance Optimization. Method: The parameters of the Weibull reliability model are considered random variables and a distribution for the parameters is assessed using informed judgment in the form of reliability estimates from vendor information, engineering knowledge or experience in the field. Results: The results are the development of modern maintenance optimization models that can be embodied in decision support systems. Conclusion: While the information management part is important in the building of maintenance optimization decision systems, the accuracy of the mathematical and statistical algorithms determines the level of success of the maintenance solution.
Ključne besede: Weibull distribution, reliability, inference, maintenance, expert opinion
Objavljeno: 23.01.2018; Ogledov: 77; Prenosov: 11
.pdf Celotno besedilo (527,86 KB)

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