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Auflistung nach Autor:in "Hejc, Michal"

1 - 4 von 4
  • Konferenzbeitrag
    eGovernment Services in Environment - Automate Data Quality Assessment - Czech Republic Approach
    (Environmental Informatics and Systems Research, 2007) Hlavacek, Miloslav; Hejc, Michal; Hrebicek, Jiri
    Imprecision of data is an important characteristic feature of environmental monitoring, particularly at all kinds of fixed and moving sensor networks. Imprecision of primary data is an important characteristic feature of environmental monitoring. When making evaluations, conclusions and the decisions from collected environmental data, we have to assess data quality not to make fatal mistake in environmental management. The important task of eGovernment services in the Czech Republic is to deal with the primary data uncertainty and using knowledge about data quality to assure public access to quality environmental information (Directive 2003/4/EC) and provide added value for the citizens and businesses (end users and decision makers). This will reduce the risk of inequality information in eGovernment services and wrong decision in environmental management. At present, new approaches and methodologies of eGovernment services handling with environmental data uncertainty are explored. The paper presents comparison of such new approach developed in the Czech Republic against European Environment Agency and U.S. Environmental Protection Agency approaches. The new approach to information management with data quality assessment brings for the Visegrad countries more flexible way of dealing with all kinds of uncertainty in eGovernment services. There are presented better results and less workload then standard approaches in the paper.
  • Konferenzbeitrag
    Environmental Modelling with Uncertainty
    (Managing Environmental Knowledge, 2006) Hrebicek, Jiri; Hejc, Michal
    The characteristic feature of current environmental modelling is the complexity and uncertainty of its mathematical representation (uncertainty of formula). Imprecision of its input data is another characteristic feature, where it is not possible to omit influences of primary monitoring (e.g. gaps of data, errors of measuring facilities, human factor, etc). Nowadays, information and communication technology (ICT) capabilities are growing rapidly and applied mathematical software (e.g. computer algebra systems, statistical packages, etc) becomes more powerful to overcome problems with formula complexity and uncertainty. The basic methods how to deal with the data uncertainties are well known and standardized from the last century, but some of their comparisons and recommendations for environmental modelling are not known enough. Paper presents generalized approach and shows universal methodology how to use computer algebra based systems (CAS) for the implementation of mathematical models with formula and data uncertainties. The Checkland’s soft system methodology is modified for its use by CAS in environmental modelling with uncertainty. Various approaches for solving uncertainty with the computer algebra system Maple are presented. The modified model COPERT III with included uncertainty was developed in Maple and some results of the case study for the transport influence and all the related air pollution in the Czech Republic are presented.
  • Konferenzbeitrag
    Federated eParticipation Systems on Environmental Issues and its Role Industrial Ecology
    (Environmental Informatics and Industrial Ecology, 2008) Hrebicek, Jiri; Charalabidis, Yannis; Kisza, Karel; Loukis, Euripidis; Peters, Rob; Stefanik, Matej; Hejc, Michal
    The paper presents project needs of new solution in eParticipation initiative area focusing main environmental and energy issues that the new European energy policy has to deal with. The project FEED (Federated eParticipation Systems for Cross-Societal Deliberation on Environmental and Energy Issues) is introduced as one possible solution. There will be discussed its main goals, platform architecture and project work plan.
  • Konferenzbeitrag
    Solving Waste Management Data Uncertainties Case Study of South Moravian Region
    (Managing Environmental Knowledge, 2006) Hejc, Michal; Hrebicek, Jiri
    Imprecision of input data is an important characteristic feature of environmental monitoring. When making evaluations, conclusions and the decisions from collected data, one has to be very careful not to make fatal mistake. The main task of information and communication technology (ICT) is to deal with the primary data uncertainty and thus to reduce the risk of mistake. At present new approaches and methodologies to handle data uncertainty are explored as opposite to standard. This paper presents comparison of such new approach against standard one in the case study of the assessment of waste management indicators in the South Moravian Region of the Czech Republic. The new approach brings more modular way of dealing with uncertainty and is supposed to bring better results and less workload then standard approach.