Time filter

Source Type

České Budějovice, Czech Republic

Jelinek J.,Institute of Technology and Business in Ceske Budejovice
ICAART 2014 - Proceedings of the 6th International Conference on Agents and Artificial Intelligence | Year: 2014

Social networks are currently one of the most studied structures for information and knowledge exchange. These structures are very well described in terms of their static structure, this article attempts to propose the model of their dynamic behavior and the spread of information and knowledge in these networks. The heuristic event based model of the individual behavior in the network using the message passing will be presented. The main idea of the model is agent's need for information and knowledge in specific situations. On that is based multiagent model of the social network used for information exchange, which has been practically implemented and will be presented as well as some of its simulation outputs for tasks testing the dynamics of social networks. Copyright © 2014 SCITEPRESS.

Jelinek J.,Institute of Technology and Business in Ceske Budejovice
Komunikacie | Year: 2014

This contribution deals with modelling and simulation of a transport system of a public transport line as one of the ways leading to deeper insight into the system and thus also to its development and its quality and effectiveness improvement. Professional software for simulation model creation was used for implementation of the model. Questions related to accessibility of real data for the model setting and their processing will also be discussed.

Myskova K.,Mendel University in Brno | Zak J.,Institute of Technology and Business in Ceske Budejovice
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis | Year: 2016

Underpasses play an important role in ensuring permeability of line traffic structures (motorways, expressways) for feral species. There are many studies, articles and methodological guidebooks available describing proper design principles for technical parameters of underpasses and their placement within the terrain. Width, height and length are the main technical parameters affecting wildlife migration. Wildlife behaviour and their requirements for the mentioned technical parameters of underpasses also have been examined in depth. In practically all cases, underpass functionality grows with increasing width and height. Of course, this also results in greater construction costs. The objective should therefore be to find a balanced compromise enabling "sufficient" functionality while maintaining "reasonable" costs. Data envelopment analysis (DEA) provides a way to identify "good" solutions in the sense of "sufficient" underpass functionality with "reasonable" total costs. Underpass functionality calculations were based on a methodology for calculating migration potentials (Žák and Florian, 2013). Total costs were established according to actual construction work prices in the Czech Republic, including prices for preparations, design, construction, maintenance, and demolition. The results indicate that DEA can be used to find "good" solutions and can be of assistance in particular when planning measures to ensure motorways are permeable to wildlife.

Stopka O.,Institute of Technology and Business in Ceske Budejovice | Kampf R.,Institute of Technology and Business in Ceske Budejovice
Transport | Year: 2016

The main advantages of maritime transport are (1) lowest costs, (2) large-scale carriage capacity, (3) carriage of different goods over long distances and (4) the most acceptable mode of transport in the context of the environment. This mode of transport is considered more profitable and more cost-effective than all other transport modes. Modern maritime ports have become the essential nodal components of freight transport networks. This paper is focused on determining the most suitable layout of space for the loading units warehousing and handling in the maritime port using the particular method. In the paper, four types of layout and five criteria were taken into account. Layout of warehousing and handling space can affect the entire transport process and can have a great effect on the economics of enterprises. © 2016 Vilnius Gediminas Technical University (VGTU) Press

Vochozka M.,Institute of Technology and Business in Ceske Budejovice | Sheng P.,Henan University
Komunikacie | Year: 2016

It is logical that in an uncertain economic environment it is necessary for companies to be able to plan better, to report more precisely and to be able to better evaluate their future financial development. For their analysis, the authors of this article focus on a particular segment of the national economy, namely transport and freight forwarding companies. The aim of this article is to utilize artificial neural networks to predict potential financial problems in transport companies in the Czech Republic. Data on all companies involved in transport and freight forwarding in the Czech Republic for the period 2003 - 2013 were used for modelling the particular neural network. The data file contained nearly 15,000 records on companies for the individual years. These records included both financial statement data and non- Accounting data e.g. data on company employees. The following networks were used for modelling the neural network: A linear network, a probabilistic neural network PNN, a generalised regression neural network GRNN, a radial basis function network RBF, a three-layer perceptron network TLP and a four-layer perceptron network FLP. The analysis resulted in a concrete model of an artificial neural network. The neural network is able to determine with more than ninety per cent accuracy whether a company is able to overcome potential financial problems, within how many years a company might go bankrupt, or whether a company might go bankrupt within one calendar year. The text also includes the basic statistical characteristics of the examined sample and the achieved results sensitivity analysis, confusion matrix, etc.. The model can be utilized in practice by transport company managers, investors looking for a suitable company for capital investment, competitors, etc.

Discover hidden collaborations