Antonin Slaby
University of Hradec Králové
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Publication
Featured researches published by Antonin Slaby.
information technology interfaces | 2007
Antonin Slaby
The contribution is focused on essentials of ROC and Cost analysis and their support by Matlab software. In the contribution there are mentioned basic facts on ROC and COST curves theory and shown results of Matlab-based solution, mainly samples of graphical outputs, simplified and schematised due to size of images in the paper. More detailed solution of selected practical problems will be demonstrated during presentation. Source files can by obtained from the author.
information technology interfaces | 2008
Tomas Kozel; Antonin Slaby
At present a big concern is devoted to the problems of effective use of mobile technologies in the area of m-business, m-commerce and other areas. It is important to study carefully the relation and synergy between management area and mobile technologies so that business processes (mainly) could be supported efficiently. In the paper we there discuss basic approaches to Service Oriented Architectures (SOA) - Web services and their use in mobile devices.
information technology interfaces | 2006
Eva Milková; Antonin Slaby
A virtual study environment is a significant contribution to education and its role in the education industry is growing constantly. Many universities and institutions in the Czech Republic are extending their study programs and applying e-learning within gradual and lifelong learning. The Faculty of Informatics and Management, University of Hradec Kralove has been developing this area for many years. The professional virtual study environment WebCT is used there. In the article we introduce our experience in using e-learning and explain the main reasons why we use it as an indivisible part of the part-time study program and as a support of the full-time study program at present
international conference on interactive collaborative learning | 2015
Pavel Cyrus; Patrik Matejsek; Antonin Slaby
This article analyzes the interest of applicants for study specialization teaching technical subjects at the Faculty of Education, University of Hradec Kralove.
information technology interfaces | 2006
Antonin Slaby; Eva Milková
The level of programming experience demanded from the graduates of ICT studies increases continuously and therefore new subjects have been added to the curricula of ICT studies at the Faculty of Informatics and Management, University of Hradec Kralove. Computer graphics is one of the most important subjects added. The article describes how the computer graphics subjects could be taught to help students spread and deepen their programming knowledge and skills
International journal of continuing engineering education and life-long learning | 2005
Antonin Slaby; Bruno Jezek; Jan Vanek
The level of programming experience demanded from the graduates of ICT studies increases continuously and therefore new subjects have been added to the curricula of ICT studies during the last several years. Computer graphics is one of the most important subjects added. The paper describes how the computer graphics subjects help students to widen and deepen their programming knowledge and skills. The authors have had good experience in providing lectures in the computer graphics subjects at the Faculty of Informatics and Management, University of Hradec Kralove.
international conference on information systems | 2018
Katerina Fronckova; Pavel Prazak; Antonin Slaby
The singular value decomposition (SVD) is an important tool for matrix computations with various uses. It is often combined with other methods or used within specific procedures. The text briefly introduces the SVD and lists its important features and selected elements of the SVD theory. In addition, the text deals with two important issues related to the field of artificial intelligence with extensive practical use. The first is face recognition analysis in relation to face representation using principal component analysis (PCA) and the second is fractional order singular value decomposition representation (FSVDR) of faces. The presented procedures can be used in an efficient real-time face recognition system, which can identify a subject’s head and then perform a recognition task by comparing the face to those of known individuals. The essence of the procedures, way of their application, their advantages and shortcomings, and selected results are presented in the text. All procedures are implemented in MATLAB software.
international conference on image analysis and recognition | 2018
Katerina Fronckova; Pavel Prazak; Antonin Slaby
The singular value decomposition (SVD) is an important and very versatile tool for matrix computations with a variety of uses. The contribution briefly introduces the concept of the SVD and basic facts about it and then describes two classes of its applications in image processing - image compression and blurred image restoration. Calculations are implemented in MATLAB software. Our experiences and the results are presented in the text.
international conference on interactive collaborative learning | 2016
Pavel Cyrus; Antonin Slaby; Tereza Horakova
The article describes some of the results from the analysis of research on the possibility of an increased interest in technical studies. In the contribution there is mainly accomplished the analysis of facts that influence decision of students of secondary schools to study at technical universities after they have finished their secondary education. The analysis is based on present curricula of various types of primary and secondary schools in Czech republic. The research was conducted in 2015 and continued in 2016. The achieved results of the research were analyzed and measures outlined to improve awareness of future applicants for studying at schools with technical orientation.
KICSS | 2016
Ondrej Klapka; Antonin Slaby
Many today’s practical problems, e.g. bioinformatics, data mining or social networks can be visualized and better examined and understood in the form of a graph. Elaborating big graphs, however, requires high computing power. The performance of CPUs is not sufficient for this purpose but graphics processing unit (GPU) may serve as a suitable high performance, well optimized and low cost platform for calculations of this kind. The article deals with the Fruchterman-Reingold graph and brings solution to this problem; how its layout algorithm can be parallelized for the GPU using nVidia CUDA computing model. This article is continuation and extension of (Klapka and Slaby, The 9th international conference on knowledge, information and creativity support systems, 2014) [8] and gives some other facts and details.