• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.3
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• pp.7-14
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• 2023

Recently, the importance of impact-based forecasting has increased along with the socio-economic impact of severe weather have emerged. As news articles contain unconstructed information closely related to the people's life, this study developed and evaluated a binary classification algorithm about snowfall damage information by using media articles text mining. We collected news articles during 2009 to 2021 which containing 'heavy snow' in its body context and labelled whether each article correspond to specific damage fields such as car accident. To develop a classifier, we proposed a probability-based classifier based on the ratio of the two conditional probabilities, which is defined as I/O Ratio in this study. During the construction process, we also adopted the n-gram approach to consider contextual meaning of each keyword. The accuracy of the classifier was 75%, supporting the possibility of application of news big data to the impact-based forecasting. We expect the performance of the classifier will be improve in the further research as the various training data is accumulated. The result of this study can be readily expanded by applying the same methodology to other disasters in the future. Furthermore, the result of this study can reduce social and economic damage of high impact weather by supporting the establishment of an integrated meteorological decision support system.

• Journal of Navigation and Port Research
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• v.38 no.4
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• pp.357-366
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• 2014

On December of 2003, IMO's $23^{rd}$ Assembly discussed 'Guidelines on places of refuge for ships in need of assistance' At the discussion, Res. A.949(23) has been selected to appoint recommended place of refuge for countries signatory to the IMO Convention. IMO defines "Places of Refuge" as a places where a ship in need of assistance can take action to enable it to stabilize its condition and reduce the hazards to navigation, and to protect human life and the environment. Appointing and managing a Place of refuge can be a delicate problem because of its close connection to each country's coastal and environmental protection policies. However, in case of marine accident, the appointment or management of the place of refuge has a potential to avoid further damage and reduce to the minimum any environmental and estate losses. Currently a number of foreign countries, designated and operated a place of refuge. But, place of refuge selected method criteria were different by country and also does not have any standardized designating place of refuge model. Therefor, this study suggested the model of assigned places of refuge according to objective indication in order to assign reasonable and efficient places of refuge in domestic waters in the future by investigating and analyzing imported facts in considering the assignment of places of refuge in foreign countries and describing these imported data into quantitative value. In designating the model place of refuge, the final place of refuge location was presented by evaluating the probability of marine accidents, analyzing the location, and evaluating the supporting establishment.