Temat: bayesian network - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Bayesian Network Modeling in Discovering Risk Factors of Dental Caries in Three-Year-Old Children
Autorzy:: Łaguna, W.
Bagińska, J.
Oniśko, A.
Powiązania:: https://bibliotekanauki.pl/articles/1918880.pdf
Data publikacji:: 2019-08-26
Wydawca:: Uniwersytet Medyczny w Białymstoku
Tematy:: dental caries
Bayesian network
learning from data
risk assessment
Opis:: Purpose - The aim of this study was to use probabilistic graphical models to determine dental caries risk factors in three-year-old children. The analysis was conducted on the basis of the questionnaire data and resulted in building probabilistic graphical models to investigate dependencies among the features gathered in the surveys on dental caries. Materials and Methods - The data available in this analysis came from dental examinations conducted in children and from a questionnaire survey of their parents or guardians. The data represented 255 children aged between 36 and 48 months. Self-administered questionnaires contained 34 questions of socioeconomic and medical nature such as nutritional habits, wealth, or the level of education. The data included also the results of oral examination by a dentist. We applied the Bayesian network modeling to construct a model by learning it from the collected data. The process of Bayesian network model building was assisted by a dental expert. Results - The model allows to identify probabilistic relationships among the variables and to indicate the most significant risk factors of dental caries in three-year-old children. The Bayesian network model analysis illustrates that cleaning teeth and falling asleep with a bottle are the most significant risk factors of dental caries development in three-year-old children, whereas socioeconomic factors have no significant impact on the condition of teeth. Conclusions - Our analysis results suggest that dietary and oral hygiene habits have the most significant impact on the occurrence of dental caries in three-year-olds.
Źródło:: Progress in Health Sciences; 2019, 1; 118-125
2083-1617
Pojawia się w:: Progress in Health Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: A model for oil spill scenarios from tanker collision accidents in the Northern Baltic Sea
Autorzy:: Goerlandt, F.
Powiązania:: https://bibliotekanauki.pl/articles/135392.pdf
Data publikacji:: 2017
Wydawca:: Akademia Morska w Szczecinie. Wydawnictwo AMSz
Tematy:: oil spill
collision
maritime safety
marine environment
risk assessment
Bayesian Network
Opis:: Oil spills from maritime activities can lead to very extensive damage to the marine environment and disrupt maritime ecosystem services. Shipping is an important activity in the Northern Baltic Sea, and with the complex and dynamic ice conditions present in this sea area, navigational accidents occur rather frequently. Recent risk analysis results indicate those oil spills are particularly likely in the event of collisions. In Finnish sea areas, the current wintertime response preparedness is designed to a level of 5000 tonnes of oil, whereas a state-of-the-art risk analysis conservatively estimates that spills up to 15000 tonnes are possible. Hence, there is a need to more accurately estimate oil spill scenarios in the Northern Baltic Sea, to assist the relevant authorities in planning the response fleet organization and its operations. An issue that has not received prior consideration in maritime waterway oil spill analysis is the dynamics of the oil outflow, i.e. how the oil outflow extent depends on time. Hence, this paper focuses on time-dependent oil spill scenarios from collision accidents possibly occurring to tankers operating in the Northern Baltic Sea. To estimate these, a Bayesian Network model is developed, integrating information about designs of typical tankers operating in this area, information about possible damage scenarios in collision accidents, and a state-of-the-art time-domain oil outflow model. The resulting model efficiently provides information about the possible amounts of oil spilled in the sea in different periods of time, thus contributing to enhanced oil spill risk assessment and response preparedness planning.
Źródło:: Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2017, 50 (122); 9-20
1733-8670
2392-0378
Pojawia się w:: Zeszyty Naukowe Akademii Morskiej w Szczecinie
Dostawca treści:: Biblioteka Nauki

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Tytuł:: Use of fuzzy fault tree analysis and noisy-OR gate bayesian network for navigational risk assessment in Qingzhou Port
Autorzy:: Zhao, C.
Wu, B.
Yip, T. L.
Lv, J.
Powiązania:: https://bibliotekanauki.pl/articles/2063967.pdf
Data publikacji:: 2021
Wydawca:: Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:: risk assessment
Bayesian Network Model
navigational risk
navigational risk assessment
Port of Qingzhou
fuzzy fault tree
noisy-OR gate
navigational accidents
Opis:: Collisions and groundings account for more than 80% among all types of maritime accidents, and risk assessment is an essential step in the formal safety assessment. This paper proposes a method based on fuzzy fault tree analysis and Noisy-OR gate Bayesian network for navigational risk assessment. First, a fault tree model was established with historical data, and the probability of basic events is calculated using fuzzy sets. Then, the Noisy-OR gate is utilized to determine the conditional probability of related nodes and obtain the probability distribution of the consequences in the Bayesian network. Finally, this proposed method is applied to Qinzhou Port. From sensitivity analysis, several predominant influencing factors are identified, including navigational area, ship type and time of the day. The results indicate that the consequence is sensitive to the position where the accidents occurred. Consequently, this paper provides a practical and reasonable method for risk assessment for navigational accidents.
Źródło:: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2021, 15, 3; 765--771
2083-6473
2083-6481
Pojawia się w:: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:: Biblioteka Nauki

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Tytuł:: Reliability and Risk Assessment of Aircraft Electric Systems
Niezawodność i ocena ryzyka układu elektrycznego samolotu
Autorzy:: He, L.
Yin, C.
Peng, W.
Yuan, R.
Huang, H.-Z.
Powiązania:: https://bibliotekanauki.pl/articles/301113.pdf
Data publikacji:: 2014
Wydawca:: Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:: interval analytic hierarchy process
interval eigenvector method
Bayesian network
information fusion
risk assessment
proces przedziałowej hierarchii analitycznej
metoda przedziałowych wektorów własnych
sieć bayesowska
fuzja informacji
ocena ryzyka
Opis:: It is rather difficult in identifying the fault location and performing risk assessment for complex electronic systems. In this paper a reliability assessment method based on the interval analytic hierarchy process (IAHP) and Bayesian network is proposed to facilitate reliability and risk assessment. After considering the major fault factors, the interval eigenvector method (IEM) is also presented to assess the reliability and comprehensive weights of subsystems. The conditional probability matrices for the factors of risk are defined using an inference rule. Then an updating model of information fusion in the context of Bayesian network is established to assess the risk of system. The proposed method is demonstrated through the risk assessment of an aircraft electric system. The result of the illustrative example shows that the proposed method can not only incorporate the evidence information, but also synthesize all the historical information. A further dynamic adjustment in the safety and risk priority of control measures is quite effective to improve the reliability while mitigating the risk of the electric system.
Lokalizacja uszkodzeń oraz ocena bezpieczeństwa i ryzyka w przypadku złożonych systemów elektronicznych jest zadaniem dość trudnym. W niniejszej pracy zaproponowano metodę prognozowania niezawodności opartą na procesie przedziałowej hierarchii analitycznej (IAHP), która ma na celu ułatwienie diagnozy uszkodzeń i kontroli ryzyka. Po rozważeniu głównych czynników wywołujących uszkodzenia, zaprezentowano metodę przedziałowych wektorów własnych oraz zdefiniowano, przy użyciu reguły wnioskowania, macierze prawdopodobieństwa dla czynników wpływających na bezpieczeństwo i ryzyko. Następnie, stworzono odnawialny model fuzji informacji w kontekście wnioskowania bayesowskiego służący do oceny stanu zagrożenia Udowodniono, iż włączenie wiedzy eksperckiej do dynamicznej symulacji ułatwia lokalizację uszkodzeń oraz pozwala uzyskać informacje dotyczące diagnozy uszkodzeń. Studium przypadku pokazuje, że dynamiczne dostosowanie priorytetowości związanej z bezpieczeństwem i ryzykiem stosowanych środków kontroli w sposób dość skuteczny zwiększa niezawodność przy jednoczesnym zminimalizowaniu ryzyka w złożonym systemie elektronicznym.
Źródło:: Eksploatacja i Niezawodność; 2014, 16, 4; 497-506
1507-2711
Pojawia się w:: Eksploatacja i Niezawodność
Dostawca treści:: Biblioteka Nauki

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