Journal of Computing and Information Technology (J Comput Inform Tech )

Publisher: Sveučilište u Zagrebu. University Computing Centre


The aim of the international Journal of Computing and Information Technology (CIT) is to present original scientific and professional papers, as well as review articles and surveys, covering the theory, practice and methodology of computer science and engineering, modelling and simulation, and information systems.

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  • Website
    Journal of Computing and Information Technology website
  • Other titles
    Journal of computing and information technology (online), CIT
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  • Material type
    Periodical, Internet resource
  • Document type
    Internet Resource, Journal / Magazine / Newspaper

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: The paper offers an experience-based viewpoint on two key phases of the development of an Information and Communication Technologies (ICTs)-based system: the defini-tion of requirements and the identification of related criteria and methodology for its evaluation. In doing so, it refers to the unique context of the i-Treasures EU project, which deals with the development of an innovative integrated platform to support the learning and transmission of Intangible Cultural Heritage (ICH). The i-Treasures inte-grated platform is conceived to support both traditional learning approaches and innova-tive and active learning processes, based on extensive use of sensor-technologies. In this light, during the development process, particular attention has been devoted to the defi-nition of requirements with specific reference to sensor- mediated Human Computer In-teraction (HCI) issues and the evaluation process was designed accordingly, in coher-ence with the specific advanced features of the integrated platform. The paper offers a view of the complexity of the design of ICT-based tools supporting the preservation and transmission of ICH and also provides an insight (and this could have a broader impact) into the methodology adopted to harmonize the requirements and the evaluation phases which are key pillars for the construction of any educationally effective ICT-based learning system.
    Journal of Computing and Information Technology 01/2014; 22(4):277-292.
  • [Show abstract] [Hide abstract]
    ABSTRACT: Recent literature reports the growing interests in data analysis using FormalConceptAnalysis (FCA), in which data is represented in the form of object and attribute relations. FCA analyzes and then subsequently visualizes the data based on duality called Galois connection. Attribute exploration is a knowledge acquisition process in FCA, which interactively determines the implications holding between the attributes. The objective of this paper is to demonstrate the attribute exploration to understand the dependencies among the attributes in the data. While performing this process, we add domain experts’ knowledge as background knowledge. We demonstrate the method through experiments on two real world healthcare datasets. The results show that the knowledge acquired through exploration process coupled with domain expert knowledge has better classification accuracy.
    Journal of Computing and Information Technology 01/2013; 21(2).
  • [Show abstract] [Hide abstract]
    ABSTRACT: Combining transmission of both voice and data on the same network infrastructure was a challenging task which required an advanced network architecture which needs to be scalable and simple. This resulted in a new approach for Ethernet systems where Differentiated Service (Diff-Serv) was introduced to respond to this need and in addition, improve Quality of service (QoS) as a way of providing class of services for different end users. Therefore, optimizing the use of the network available bandwidth is a primgoal of this work which is focused on investigating the impact of implementing a fuzzy logic controller of the crucial factors affecting the performance of the network. These external or internal factors will be controlled by the developed Fuzzy Logic system that will act as bandwidth broker (BB) to provide each user with his optimal Code Point (CP). Within the scope of this work, the CP will not only involve packet loss rate as an external factor to check the network congestion, but in addition, it will consider the internal factors; which are a combination of both service-level agreement (SLA) and the type of user application used, as external factors as well. The Code Point will be marked in the transmitted packets, where it will be possible to the router to check it, and will treat it as per the agreement between the user and the administrator.
    Journal of Computing and Information Technology 01/2013; 21(1):1-11.
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    ABSTRACT: Peer to Peer Information Exchange (PIE) is a technique to improve the data availability using data present within the peers in the network. Network Coding (NC) which gives a set of combined data dissemination procedure to improves the transmission efficiency of the network. These two techniques are merged in such a way that the PIE can be performed in much improved way. But immense problem concerned with the technique is that the performance degrades gradually with increase in the number of peers in the network. Clustering approach is proved to be more efficient for solving the scalability issues in large networks. Thus in this paper, we have presented a detailed study on the techniques like PIE, NC and clustering from the view of their requirement, merits and demerits and performance improvement on their combine usage. In this paper, we have also provided a distant view of Co-operative P2P Information Exchange (cPIE) which incorporates clustering technique in the existing PIE with NC technique to eradicate its scalability and performance bottleneck issues.
    Journal of Computing and Information Technology 01/2013; 177:181-193.
  • Journal of Computing and Information Technology 01/2013; 21:1-11.
  • Journal of Computing and Information Technology 10/2012; 1(1):76-80.
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    ABSTRACT: A dynamical approach to study the behaviour of generalized populational growth models from $Beta(p,2)$ densities, with strong Allee effect, is presented. The dynamical analysis of the respective unimodal maps is performed using symbolic dynamics techniques. The complexity of the correspondent discrete dynamical systems is measured in terms of topological entropy. Different populational dynamics regimes are obtained when the intrinsic growth rates are modified: extinction, bistability, chaotic semistability and essential extinction.
    Journal of Computing and Information Technology 09/2012; 20(3):201-207.