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    Tytuł:
    Analysis of work-related injuries in mining industry in Serbia
    Autorzy:
    Ivaz, Jelena
    Petrović, Dejan
    Nikolić, Ružica R.
    Djoković, Jelena M.
    Powiązania:
    https://bibliotekanauki.pl/articles/88464.pdf
    Data publikacji:
    2020
    Wydawca:
    Stowarzyszenie Menedżerów Jakości i Produkcji
    Tematy:
    mining industry
    safety
    work-related injuries
    absence from work due to injury
    przemysł wydobywczy
    bezpieczeństwo
    wypadek przy pracy
    bezpieczeństwo i higiena pracy
    absencja powypadkowa
    Opis:
    The mining industry in Serbia has an important place in the country's economic development. Bearing in mind that the number of injuries that occur in the mining industry is unacceptably high, occupational safety and health is a challenge that existing and future mines will have to deal with. Studying injuries in mining, it was noticed that injuries requiring an absence from work for more than three days (especially fatal ones) are diametrically different in relation to the cause and manner of events related to injuries for which an absence from work is not necessary. In this research, authors focused on injuries that were characterized as ones requiring an absence from work. The statistical analysis of work-related injuries in mining is presented, as well as analysis of the direct causes of injuries, which are described as unsafe conduct of employees, unsafe conduct of company's management and/or unsafe working environment. In relation to classification of causes of injuries, a recommendation on what needs to be changed in order to remedy this situation in Serbia is given.
    Źródło:
    System Safety : Human - Technical Facility - Environment; 2020, 2, 1; 158-165
    2657-5450
    Pojawia się w:
    System Safety : Human - Technical Facility - Environment
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Influence of Window Roller Blinds on Energy Consumption in Residential Buildings in Serbia
    Autorzy:
    Djoković, Jelena M.
    Nikolić, Ružica R.
    Bokůvka, Otakar
    Pastorková, Jana
    Powiązania:
    https://bibliotekanauki.pl/articles/27323565.pdf
    Data publikacji:
    2023
    Wydawca:
    Stowarzyszenie Menedżerów Jakości i Produkcji
    Tematy:
    exterior window blinds
    heat load
    cooling load
    lighting
    energy efficiency
    rolety zewnętrzne
    obciążenie cieplne
    obciążenie chłodnicze
    oświetlenie
    efektywność energetyczna
    Opis:
    Roller blinds are devices that are retracted and wrapped in a box above the window opening and are used to protect against the solar radiation. Those are the well-known devices with distinct advantages over the fixed external dimming elements. The influence of external blinds on the internal thermal environment in climatic conditions in the Republic of Serbia, the city of Kragujevac, was considered in this research. An external blind was installed in the test room and its influence on the internal temperature was compared with the internal temperature of the room without the blind. Real-time monitoring was carried out in February and August 2023. The results presented in this paper show that the blind reduces the temperature in summer by 3.57ºC and increases it in winter by 1.76ºC. The cooling load can be reduced by about 20%, and the heat load by about 15%.
    Źródło:
    System Safety : Human - Technical Facility - Environment; 2023, 5, 1; 75-82
    2657-5450
    Pojawia się w:
    System Safety : Human - Technical Facility - Environment
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Prediction of the work-related injuries based on neural networks
    Autorzy:
    Ivaz, Jelena
    Nikolić, Ružica R.
    Petrović, Dejan
    Djoković, Jelena M.
    Hadzima, Branislav
    Powiązania:
    https://bibliotekanauki.pl/articles/1831305.pdf
    Data publikacji:
    2021
    Wydawca:
    Stowarzyszenie Menedżerów Jakości i Produkcji
    Tematy:
    mining industry
    safety
    work-related injuries
    artificial neural networks
    przemysł górniczy
    bezpieczeństwo
    wypadek przy pracy
    sztuczne sieci neuronowe
    Opis:
    Artificial neural networks (ANN) are a powerful tool in the decision-making process, especially in solving the complex problems with a large number of input data. The possibility to predict the work-related injuries in the underground coal mines, based on application of the neural networks, is analyzed in this work. the input data for the network were obtained based on a survey of 1300 respondents. After analyzing the input data influence on the network output, 14 most influential inputs were selected, with help of which the network correctly predicted whether the worker would suffer the work-related injury or not, with 80% precision. The two models were developed, based on the multilayer perceptron (MLP) and radial basis function (RBF) networks. The two models' results were compared to each other. The sensitivity analysis was used to select the most influential parameters, like mine, age of miners, as well as their work experience. The parameters were further analyzed by use of the descriptive statistics. The selected parameters are direct indicators of problems that can cause injuries. The obtained results point to the fact that the work-related injuries can be successfully predicted by application of the artificial neural networks. The proposed models' importance is reflected in the clear indicators for enforcing the stricter occupational safety and organizational measures in order to reduce the number of work-related injuries in underground mines.
    Źródło:
    System Safety : Human - Technical Facility - Environment; 2021, 3, 1; 19-37
    2657-5450
    Pojawia się w:
    System Safety : Human - Technical Facility - Environment
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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