Vol. 27, No. 1


Recent Submissions

Now showing 1 - 5 of 7
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    Three Steps to Improve Jellyfish Search Optimiser
    (Institute of Automation and Computer Science, Brno University of Technology, 2021-06-21) Bujok, Petr
    This paper describes three different mechanisms used in Jellyfish Search (JS) optimiser. At first, an archive of good old solutions is used to prevent getting stuck in the local-optima area. Further, a distribution coefficient beta is adapted during the search process to control population diversity. Finally, an Eigen transformation of individuals in the reproduction process is used occasionally to cope with rotated functions. Three proposed variants of the JS optimiser are compared with the original JS algorithm and nine various well-known Nature-inspired optimisation methods when solving real-world problems of CEC 2011. Provided results achieved by statistical comparison show efficiency of the individual newly employed mechanisms.
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    Intelligent Malware - Trends and Possibilities
    (Institute of Automation and Computer Science, Brno University of Technology, 2021-06-21) Plucar, Jan; Frank, Jiří; Walter, Daniel; Zelinka, Ivan
    In recent months and years, with more and more computers and computer systems becoming the target of cyberattacks. These attacks are gaining strength and the sophistication of the approach in terms of how to attack. Attackers and Defenders are increasingly using artificial intelligence methods to maximize the success of their actions. For a successful defence, we must be able to anticipate future threats that may come. For these reasons, our research group is engaged in creating experimental software with artificial intelligence to test the possibilities and capabilities of such malware in the event of its deployment. This software has not only malware capabilities but also antimalware and can be used on both sides. This article introduces the reader to the main principles of our design, which can serve as a future platform for cyber defence systems.
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    3D Reconstruction Human Body From Anthropometric Measurements Using Diversity Control Oriented Genetic Algorithm
    (Institute of Automation and Computer Science, Brno University of Technology, 2021-06-21) Nguyen, Dat Tien; Hoang, Thach Ngoc
    3D digitalization of the human body has been studied extensively for various applications in anthropology, ergonomics, healthcare, entertainment and fashion industries. There are different methods and approaches to reconstruct the 3D body model namely using RGB cameras, depth cameras, scanning systems or anthropometric measurements of the human body. Generally, most of existing approaches have to tackle issues relating to security of personal data, the impact of the surrounding environment, cost of 3D scanning systems and complication of anthropometric measurements. This study proposes a method using simple body measurements and given body shapes to digitalize the human body. The effectiveness of proposed method is evaluated and demonstrated based on two datasets: a synthetic dataset generated from a parametric model and a real dataset on Vietnamese collected by Viettel Military Industry and Telecoms Group (Vietnam).
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    Mixed-Integer Programming Model for Ranking Universities: Letting Universities Choose the Weights
    (Institute of Automation and Computer Science, Brno University of Technology, 2021-06-21) Kudela, Jakub
    Regardless of the shortcomings and criticisms of world university rankings, these metrics are still widely used by students and parents to select universities and by universities to attract talented students and researchers, as well as funding. This paper proposes a new mixed-integer programming model for ranking universities. The new approach alleviates one of the criticisms -- the issue of the ``arbitrariness'' of the weights used for aggregation of the individual criteria (or indicators) utilized in the contemporary rankings. Instead, the proposed model uses intervals of different sizes for the weights and lets the universities themselves ``choose'' the weights to optimize their position in the rankings. A numerical evaluation of the proposed ranking, based on the indicator values and weights from the Times Higher Education World University Ranking, is presented.
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    Proposal of a Relational Database (SQL) for Zoological Research of Epigeic Synusion
    (Institute of Automation and Computer Science, Brno University of Technology, 2021-06-21) Langraf, Vladimír; Petrovičová, Kornélia; David, Stanislav; Krumpálová, Zuzana; Purkart, Adrián; Schlarmannová, Janka
    In recent years, developments in the field of molecular biology and genetics have led to the increase in biological information stored in databases. The same increase in the volume of information occurred in the field of zoology, but the development of databases was not addressed in this area. We prepared a relational database and its diagram in the Microsoft SQL Server Management Studio (SSMS) database program. Our results represent experience with construction of a new database design for the zoology field with a focus on research of epigeic groups. The structure of the database will help with meta-analyzes with the objective to identify zoological and ecological relationships and responses to anthropic intervention.