Recent Submissions

  • Providing Customised Information Panel Content Based on User Behavioral Patterns 

    Pisarovic, Ivo; Prochazka, David; Vybiral, Dan; Prochazkova, Jana (Institute of Automation and Computer Science, Brno University of Technology, 2018-06-01)
    Although mobile applications are commonly using user location and behavior to provide relevant content, public information panels usually lack the ability to adjust the content for a particular user or a group of users. ...
  • Application of Fuzzy Logic for Monitoring of Appearance of Heat Waves in Large Towns 

    Bila, Jiri; Jura, Jakub; Novak, Martin (Institute of Automation and Computer Science, Brno University of Technology, 2018-06-01)
    In the paper are introduced some results of the influence of cooling effect of vegetation on the climate in large towns. The results have been acquired from measurement of some meteorological variables in selected parts ...
  • Robot-Based Image Analysis for Evaluating Rehabilitation after Brain Surgery 

    Kohout, Jan; Crha, Jan; Trnkova, Katerina; Sticha, Karel; Mares, Jan; Chovanec, Martin (Institute of Automation and Computer Science, Brno University of Technology, 2018-06-01)
    After certain types of brain surgery, patients are often affected by changes in both their dynamic balance and facial disorder. Because rehabilitation takes several months, it is important that both doctors and patients ...
  • Usability Evaluation of Randomly Generated Fonts for Bubble Captcha 

    Bostik, Ondrej; Horak, Karel; Klecka, Jan (Institute of Automation and Computer Science, Brno University of Technology, 2018-06-01)
    A Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA), is the wide-spread concept of systems suited to secure the web services from automated SPAM scripts. The most common CAPTCHA systems ...
  • Effects of Environment Model Parametrization on Photogrametry Reconstruction 

    Klecka, Jan (Institute of Automation and Computer Science, Brno University of Technology, 2018-06-01)
    This paper is aimed at a description of effects which have assumptions of specific environment structure on quality of recurrently conducted photogrammetry reconstruction. The theoretical part covers the description of ...
  • Design and Decomposition of Waste Prognostic Model with Hierarchical Structures 

    Smejkalova, Veronika; Somplak, Radovan; Nevrly, Vlastimir; Pavlas, Martin (Institute of Automation and Computer Science, Brno University of Technology, 2018-06-01)
    The waste management is a dynamically progressive area, with the current trend leading to circular economy scheme. The development in this area requires quality prognosis reflecting the analysed timeframe. The forecast of ...
  • The Reconstruction of the Object Surface using Confocal Microscope with Hyperchromatic Lens 

    Starha, Pavel; Prochazkova, Jana; Martisek, Dalibor (Institute of Automation and Computer Science, Brno University of Technology, 2018-06-01)
    The usage of a tandem-scanning reflected-light microscope is not common but this technology offers the wide possibilities in the area of the surface reconstruction. This article presents a method that can reconstruct the ...
  • The Analysis of Rock Surface Asperities 

    Martisek, Dalibor; Prochazkova, Jana (Institute of Automation and Computer Science, Brno University of Technology, 2018-06-01)
    The analysis of rock surface is commonly used in technical practice. The nature discontinuity rocks are often represented by specific degree of roughness. This value has the significant effect on the rock slope stability. ...
  • Heuristic Approach to Multivariate Inverse Prediction Problem using Data Reconciliation 

    Rosecky, Martin; Somplak, Radovan; Janostak, Frantisek; Bednar, Josef (Institute of Automation and Computer Science, Brno University of Technology, 2018-06-01)
    Some engineering waste management tasks require a complete data sets of its production. However, these sets are not available in most cases. Whether they are not archiving at all or are unavailable for their sensitivity. ...
  • Parameterizing Generalized Laguerre Functions to Compute the Inverse Laplace Transform of Fractional Order Transfer Functions 

    Karsky, Vilem (Institute of Automation and Computer Science, Brno University of Technology, 2018-06-01)
    This article concentrates on using generalized Laguerre functions to compute the inverse Laplace transform of fractional order transfer functions. A novel method for selecting the timescale parameter of generalized Laguerre ...
  • Distribution Endpoint Estimation Assessment for the use in Metaheuristic Optimization Procedure 

    Holesovky, Jan (Institute of Automation and Computer Science, Brno University of Technology, 2018-06-01)
    Metaheuristic algorithms are often applied to numerous optimization problems, involving large-scale and mixed-integer instances, specifically. In this contribution we discuss some refinements from the extreme value theory ...
  • Context Out Classifier 

    Hrebik, Radek; Kukal, Jaromir (Institute of Automation and Computer Science, Brno University of Technology, 2018-06-01)
    Novel context out learning approach is discussed as possibility of using simple classifiers which is background of hidden class system. There are two ways how to perform final classification. Having a lot of hidden classes ...
  • Emotion Recognition using AutoEncoders and Convolutional Neural Networks 

    Prieto, Luis Antonio Beltrán; Kominkova Oplatkova, Zuzana (Institute of Automation and Computer Science, Brno University of Technology, 2018-06-01)
    Emotions demonstrate people's reactions to certain stimuli. Facial expression analysis is often used to identify the emotion expressed. Machine learning algorithms combined with artificial intelligence techniques have been ...
  • Tuning of Fuzzy Sharpening Filters for Biomedical Image Enhancement 

    Kukal, Jaromir; Sireis, Abduljalil; Krbcova, Zuzana (Institute of Automation and Computer Science, Brno University of Technology, 2018-06-01)
    Various approaches are used for image smoothing and sharpening. The class of fuzzy filters is widely used in the case of spiky noise due to their non–linear behavior. A lot of popular fuzzy filters are realizable in ...
  • Stress Measures in SOM Learning 

    Krbcova, Zuzana (Institute of Automation and Computer Science, Brno University of Technology, 2018-06-01)
    Various stress measures can be used in generalized version of Sammon’s mapping. Kohonen SOM with iterative or batch learning is a standard tool for data self-organization, too. Our method applies stress functions to pattern ...
  • The Effects of CMA-ES Style Selection and Restart Criteria on DE 

    Wineberg, Mark; Opawale, Samuel (Institute of Automation and Computer Science, Brno University of Technology, 2018-06-01)
    Over the years, a lot of research has gone into the creation of different mutation operators and adaptive parameters for differential evolution (DE). However, the literature is fairly quiet about automatically setting ...
  • Three-Dimensional Genetic Algorithm for the Kirkman's Schoolgirl Problem 

    Merta, Jan; Brandejsky, Tomas (Institute of Automation and Computer Science, Brno University of Technology, 2018-06-01)
    This paper focuses on the possibilities of multidimensional genetic algorithms and relevant genetic operators. After the literature overview we used a three-dimensional genetic algorithm to solve a combinatorial task called ...
  • Capacity of Spaces of Properties Formulae, Approximations and Qualitative Shapes 

    Bila, Jiri (Institute of Automation and Computer Science, Brno University of Technology, 2018-06-01)
    This article focuses on the exploration of spaces and models in which we describe the behavior of complex systems as special shapes. We understand these shapes both as a configuration of properties and their values, and ...
  • Numerical Data Clustering Ontology Approach 

    Grabusts, Peter (Institute of Automation and Computer Science, Brno University of Technology, 2018-06-01)
    Clustering algorithm tasks are used to group given objects defined by a set of numerical properties in such a way that the objects within a group are more similar than the objects in different groups. All clustering ...
  • Wind Power Performance Optimization Considering Redundancy and Opportunistic Maintenance 

    Sangroudi, Hadi Abdollahzadeh (Institute of Automation and Computer Science, Brno University of Technology, 2018-06-01)
    In This paper the redundancy and imperfect opportunistic maintenance optimization of a multi-state weighted k-out-of-n system is formulated. The objective is to determine the k-out-of-n system redundancy level and the ...

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