35 research outputs found

    Experimental analysis of models for thesauri.

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    Estimating and comparing the rate of growth of various science fields becomes very interesting and essential problem. Evolving sets of keyphrases (and keywords) observed in representative journals carry all needed information about this development. A model for the growth of thesauri as well as asymptotic properties and estimators for the parameters are proposed in [1]. The results of experimental analysis enable these properties and estimators to be used for practical calculations. The analysis suggests that sufficient accuracy of approximations is achieved quite fast - for sequences of few hundred length. Statistical analysis of "Discrete Mathematics"' journal keyphrases database illustrate the use and the reliability of estimations

    Mokslinės terminijos modelių eksperimentinis tyrimas

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    Estimating and comparing the rate of growth of various science fields becomes very interesting and essential problem. Evolving sets of keyphrases (and keywords) observed in representative jour­nals carry all needed information about this development. A model for the growth of thesauri as well as asymptotic properties and estimators for the parameters are proposed in [1]. The results of experimental analysis enable these properties and estimators to be used for practical calculations.The analysis suggests that sufficient accuracy of approximations is achieved quite fast – for sequences of few hundred length.Statistical analysis of ``Discrete Mathematics\u27\u27 journal keyphrases database illustrate the use and the reliability of estimations.Santraukos nėra

    European agreements for nature conservation need to explicitly address wolf-dog hybridisation

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    http://dx.doi.org/10.13039/501100005416 Research Council of Norwayhttp://dx.doi.org/10.13039/501100004357 Swedish Environmental Protection Agencyhttp://dx.doi.org/10.13039/100010732 Marie Claire Cronstedts Foundatio

    Analysis of stochastic models of identification clouds.

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    This paper deals with problem of automatic keywords assignment for scientific publications. In recent papers proposed identification clouds based classification algorithms are analysed and compared to popular alternavite methods. The efficiency of algorithms is estimated through real data based experiments. Conclusions about practical aspects and applicability of proposed algorithms are drawn

    Mokslinių terminų statistinio pasiskirstymo taikymas straipsnių klasifikavime

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    Automatic keywords assignment is a way to solve the problem of classification of scientific information. Paper deals with idea of implementing this assignement by making use of models for distribution of scientific terms. Some analysis was carried out and on base of its results the conclusions about effectiveness, usefullnes, main shortages and the ways of refinement of simpliest algorithms are drawn. A need for better algorithms is motivated and some ideas about how to create them are proposed.Santraukos nėra

    Applying models of scientific terms' surroundings in classification of scientific publications.

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    This paper considers a problem of classification of scientific publications which is treated here as a problem of finding keywords. Keywords are determined by making use of statistical analysis of distribution of scientific terms. Models of scientific terms surroundings - so called identification clouds - are presented as well as results of experiments of their applicability for keywords detection

    Classification of Publications Based on Statistical Analysis of Scientific Terms Distributions

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    The problem of classification of scientific texts is considered. Models and methods based on probabilistic distributions of scientific terms in text are discussed. The comparative study of proposed and a few of popular alternative algorithms was performed. The results of experimental study over real-world data are reported.</jats:p

    Statistical distributions of thesauri and their uses in classification of science publications.

    No full text
    Automatic keywords assignment is a way to solve the problem of classification of scientific information. Paper deals with idea of implementing this assignment by making use of models for distribution of scientific terms. Some analysis was carried out and on base of its results the conclusions about effectiveness, usefullnes, main shortages and the ways of refinement of simpliest algorithms are drawn. A need for better algorithms is motivated and some ideas about how to create them are proposed

    Development of a Sustainable, Hybrid Ventilation System

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    As building insulation and airtightness are constantly improving, ventilation plays a dominant role in fresh air supply, thermal comfort and managing heat losses and cooling needs. By designing an integrated ventilation system, it is possible to improve air quality and thermal comfort, at the same time enhancing energy efficiency. This thesis focuses on the development of such a ventilation system. It is done by employing the best features of existing systems and including several new features.Throughout the thesis, ventilation, night cooling, solar shading, heat balance, heat recovery unit and renewable energy sources are studied. In this study, the demanded yearly ventilation air flow rates are found, the optimal heat exchanger model is selected and optimized, yearly energy consumption is calculated, while at the end, a wind cowl is selected and saved yearly energy using the cowl is calculated. The Excel Macro tool is developed and used to establish the needed yearly air flow rates, applying night cooling and solar shading. The Matlab toolis used for the selection and optimization of the heat exchanger as well as yearly energy consumption, with and without the wind cowl. The main specifications of the new system are found. Since a resize of the heat exchanger passage is recommended, an experiment is carried out in order to verify the heat transfer coefficient of the air traveling in the heat exchanger.The developed ventilation system provides the dwelling with a ‘good’ indoor air quality at any time of the year, using minimum required air flow rates per room. Thus, combined with the heat recovery device the heating demand for ventilation air is minimized. The system also provides thermal comfort at most times of the year using natural cooling and optimal shading. Thus, the cooling need of the dwelling is minimized. However, due to the heat recovery unit and high night cooling flows, the newly developed ventilation system has an enhanced electricity use. Therefore it is recommended to also redesign the air distribution ductwork system within the dwelling for low pressure use The wind cowl contributes to electricity savings even more if the ventilation system has a well-designed, low pressure air distribution system.Electrical Engineering | Sustainable Energy Technolog
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