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Wyszukujesz frazę "Sardar, A." wg kryterium: Autor

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    Wyświetlanie 1-3 z 3
    Tytuł:
    Effect of foliar application of zinc oxide on growth and photosynthetic traits of cherry tomato under calcareous soil conditions
    Autorzy:
    Sardar, H.
    Naz, S.
    Ejaz, S.
    Farooq, O.
    Rehman, A.
    Javed, M.S.
    Akhtar, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/13078188.pdf
    Data publikacji:
    2021
    Wydawca:
    Uniwersytet Przyrodniczy w Lublinie. Wydawnictwo Uniwersytetu Przyrodniczego w Lublinie
    Źródło:
    Acta Scientiarum Polonorum. Hortorum Cultus; 2021, 20, 1; 91-99
    1644-0692
    Pojawia się w:
    Acta Scientiarum Polonorum. Hortorum Cultus
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Optimization of daily operations in the marine industry using ant colony optimization (ACO)-An artificial intelligence (AI) approach
    Autorzy:
    Sardar, A.
    Anantharaman, M.
    Garaniya, V.
    Khan, F.
    Powiązania:
    https://bibliotekanauki.pl/articles/24201433.pdf
    Data publikacji:
    2023
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    ant colony optimization
    artificial intelligence
    maritime transport
    International Maritime Organization
    international safety management
    formal safety assessment
    algorithms
    Opis:
    The maritime industry plays a crucial role in the global economy, with roughly 90% of world trade being conducted through the use of merchant ships and more than a million seafarers. Despite recent efforts to improve reliability and ship structure, the heavy dependence on human performance has led to a high number of casualties in the industry. Decision errors are the primary cause of maritime accidents, with factors such as lack of situational awareness and attention deficit contributing to these errors. To address this issue, the study proposes an Ant Colony Optimization (ACO) based algorithm to design and validate a verified set of instructions for performing each daily operational task in a standardised manner. This AI-based approach can optimise the path for complex tasks, provide clear and sequential instructions, improve efficiency, and reduce the likelihood of human error by minimising personal preference and false assumptions. The proposed solution can be transformed into a globally accessible, standardised instructions manual, which can significantly contribute to minimising human error during daily operational tasks on ships.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2023, 17, 2; 290--295
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Impact of defective turbocharging system on the safety and reliability of large marine diesel engine
    Autorzy:
    Anantharaman, M.
    Islam, R.
    Sardar, A.
    Garaniya, V.
    Khan, F.
    Powiązania:
    https://bibliotekanauki.pl/articles/1841550.pdf
    Data publikacji:
    2021
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    marine power plant
    diesel engine
    large marine diesel engine
    turbocharging system
    safety and reliability
    Fault Tree Analysis
    main engine
    maximum continuous rating
    Opis:
    Today huge capacity sea-going vessels are propelled by mega high-powered marine diesel engines, referred to as Main Engine. Turbocharging system is an integral part of large marine diesel engine plant, contributing to their safety, reliability, and efficiency. Defects in the turbocharging system could result in higher fuel consumption, erratic running of the Main Engine, and in the worst scenario may result in the stoppage of the Main Engine at sea. An inefficient turbocharging system may also cause major damage to turbochargers, resulting in undesirable accidents out at sea. To avoid such undesirable accidents and ensure smooth operations of the Main Engine, it is required to address this concern. The aim of this research is to study the turbocharging system for a large Main Engine using a Kongsberg engine simulator. Various malfunction of the Turbocharging system is considered, relevant data is collected and analysed. Moreover, a Fault Tree Analysis, (FTA) is considered to identify the top undesirable event which is the failure of the Main Engine. Based on the results of this study, various steps are suggested to avoid failure of the Main Engine due to the defective turbocharging system.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2021, 15, 1; 189-198
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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