In many technical applications, reconstruction of the scattered data is often task. For big scattered dataset in n-dimensional space, the using some meshless method such as the radial basis function (RBF) approximation is appropriate. RBF approximation is based on the distance computation,&#...

The approximation of scattered data is known technique in computer science. We propose a new strategy for the placement of radial basis functions respecting points of inflection. The placement of radial basis functions has a great impact on the approximation quality. Due to this&#x...

The Radial basis function (RBF) approximation is an efficient method for scattered scalar and vector data fields. However its application is very difficult in the case of large scattered data. This paper presents RBF approximation together with space subdivision technique for large vect...

Semantic Web technologies and Linked Data approach are widely used in different areas. Patient therapy and treatment are the processes where temporal data naturally occurs. During the treatment there can exist data like clinical reports, imaging examinations or laboratory results and all...

Visualization of vector fields plays an important role in many applications. Vector fields can be described by differential equations. For classification null points, i.e. points where derivation is zero, are used. However, if vector field data are given in a discrete form, e.g. by...

Stationary points of multivariable function which represents some surface have an important role in many application such as computer vision, chemical physics, etc. Nevertheless, the dataset describing the surface for which a sampling function is not known is often given. Therefore, it ...

This paper presents an overview of training strategies for optical character recognition of historical documents. The main issue is the lack of the annotated data and its quality. We summarize several ways of synthetic data preparation. The main goal of this paper is to show&#...

The ubiquitous internetworking of devices in all areas of life is boosted by various trends for instance the Internet of Things. Promising technologies that can be used for such future environments come from Wireless Sensor Networks. It ensures connectivity between distributed, tiny and...

This work aims at data preparation for OCR systems based on recurrent neural networks. Precisely annotated data are necessary for training a network as well as for evaluation of OCR methods. Manual annotation is still needed in many cases, especially in the case of historical&...

The solvent excluded surface (SES) is a hypothetical boundary between atoms of a molecule and a solvent. The volume of space bounded by this non-linear surface is a useful quantity in computational biochemistry. Among the approaches for the computation of the volume, there is ...

Neighbourhood (or proximity) graphs, such as nearest neighbour graph, closest pairs, relative neighbourhood graph and k-nearest neighbour graph are useful tools in many tasks inspecting mutual relations, similarity and closeness of objects. Some of neighbourhood graphs are subsets of Delaunay tri...

The main goal of this project is to make accessible archival resources from the Czech-Bavarian border region using state-of-the-art information technologies. It will be possible to search information based on geolocation. We also focus on a clear presentation and an effective search of&...

This paper presents hardware and software design of the payload for the PilsenCube picosatellite. The goal of the payload is to test the suitability of microcontroller with FRAM based code memory in the low Earth orbit environmental conditions. The proposed set of tests comprises&#...

Tento příspěvek je zaměřen na relační databáze a představuje náš inovativní přístup k problematice využívání atributů s výčtovým datovým ty-pem (dále označovány jako doménové atributy). Velkým nedostatkem existují-cích řešení daného problému je např. nezbytný zásah do navrženého schématu databáze při&...

International Workshop on Semantic Evaluation (SemEval) is an on-going series of evaluations of NLP (Natural Language Processing) algorithms, organized by Association for Computational Linguistics (ACL), the internation-al scientific society which hold the major NLP conferences. The evaluations are intende...

This paper deals with one part of so called SMART GRIDS systems, which is storage of electrical and thermal energy, preferably in small scale applications, such as family houses, apartment houses or small commercial buildings. Distributed energy storage systems in combination wit...