• Journal of the Korean Society for Aviation and Aeronautics
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• v.31 no.3
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• pp.42-49
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• 2023

Not only in aviation industry but also in other industries, safety data plays a key role to improve the level of safety performance. By analyzing safety data such as aviation safety report (text data), hazard can be identified and removed before it leads to a tragic accident. However, pre-processing of raw data (or natural language data) collected from each site should be carried out first to utilize proactive or predictive safety management system. As air traffic volume increases, the amount of data accumulated is also on the rise. Accordingly, there are clear limitation in analyzing data directly by manpower. In this paper, a topic prediction model for aviation safety mandatory report is proposed. In addition, the prediction accuracy of the proposed model was also verified using actual aviation safety mandatory report data. This research model is meaningful in that it not only effectively supports the current aviation safety mandatory report analysis work, but also can be applied to various data produced in the aviation safety field in the future.

• Journal of the Korean Society of Safety
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• v.33 no.6
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• pp.77-84
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• 2018

Report documents of industrial and occupational accidents have continuously been accumulated in private and public institutes. Amongst others, information on narrative-texts of accidents such as accident processes and risk factors contained in disaster report documents is gaining the useful value for accident analysis. Despite this increasingly potential value of analysis of text information, scientific and algorithmic text analytics for safety management has not been carried out yet. Thus, this study aims to develop data processing and visualization techniques that provide a systematic and structural view of text information contained in a disaster report document so that safety managers can effectively analyze accident risk factors. To this end, the risk factor map using text mining and self-organizing map is developed. Text mining is firstly used to extract risk keywords from disaster report documents and then, the Self-Organizing Map (SOM) algorithm is conducted to visualize the risk factor map based on the similarity of disaster report documents. As a result, it is expected that fruitful text information buried in a myriad of disaster report documents is analyzed, providing risk factors to safety managers.

• Journal of Korean Clinical Nursing Research
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• v.27 no.2
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• pp.210-219
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• 2021

Purpose: The study was conducted to investigate the correlation between perception of patient safety risk factors, patient safety competency, and safety nursing activities of nurses in hemodialysis units and identify factors affecting patient safety activities. Methods: The participants were 146 nurses from 16 hemodialysis units located in Gyeongsangnam-do. Data were analyzed using descriptive statistics, independent t-test, one-way ANOVA, Pearson correlation coefficient, and multiple regression analysis using the SPSS, version 24.0. Results: The mean safety nursing activity score was 3.47±0.38. safety nursing activities of the participants were significantly correlated with patient safety competency. The characteristics showing significant differences in safety nursing activities were educational level, hospital type, hospital work experience, number of hemodialysis treatment per day, number of hemodialysis treatment per nurse, educational experience of patient safety, presence of a patient safety incident report registration system, and direct registration of patient safety incident report. The multiple regression analysis revealed that the factors influencing safety nursing activities were patient safety incident report, patient safety competency, and number of daily hemodialysis treatment (<5~7 times/day) per nurse (R²=.34). Conclusion: The results of this study suggest that the safety nursing activities of hemodialysis unit nurses should be intensified. In addition, the registration system of patient safety incident report and nurses' competency on patient safety should be improved, and the number of hemodialysis per nurse should be fewer than 7 times per day.

• Journal of the Korean Society of Safety
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• v.33 no.3
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• pp.58-64
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• 2018

Recently, a lot of accident report documents have accumulated in almost all of industries, including critical information of accidents. Accordingly, text data contained in accident report documents are considered useful information for understanding accident processes. However, there has been a lack of systematic approaches to analyzing accident report documents. In this respect, this paper aims at proposing text analytics approach to extracting critical information on accident processes. To be specific, major causes of the accident occurrence are classified based on text information contained in accident report documents by using both textmining and latent Dirichlet allocation (LDA) algorithms. The textmining algorithm is used to structure the document-term matrix and the LDA algorithm is applied to extract latent topics included in a lot of accident report documents. We extract ten topics of accidents as accident types and related keywords of accidents with respect to each accident type. The cause-and-effect diagram is then depicted as a tool for navigating processes of the accident occurrence by structuring causes extracted from LDA. Further, the trends of accidents are identified to explore patterns of accident occurrence in each of types. Three patterns of increasing to decreasing, decreasing to increasing, or only increasing are presented in the case of a chemical plant. The proposed approach helps safety managers systematically supervise the causes and processes of accidents through analysis of text information contained in accident report documents.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.25 no.2
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• pp.25-38
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• 2017

Current limitation of Aviation airworthiness manage system and text based Aviation safety report data, lack of Data Manage system for aviation parts failure and lack of continuing airworthiness related to task linking system for Inspection/Report/Improvement(AD ; Airworthiness Directive) have been apprehended to suggest direction of realizing improved operating system by applying aviation airworthiness manage system by using standardization and safety performance index based managing and safety performance index based data analyzing.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.29 no.4
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• pp.160-165
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• 2021

In order to identify and analyze potential aviation safety hazards, analysis of aviation safety report data must be preceded. Therefore, in consideration of the provisions of the Aviation Safety Act and the recommendations of ICAO Doc 9859 SMM Edition 4th, personal information in the reporting data and sensitive information of the reporter, etc. It identifies the scope of de-identification targets and suggests a method for applying de-identification processing technology to personal and sensitive information including unstructured text data.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.28 no.4
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• pp.182-186
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• 2020

As all flight training institutions in Korea were approved by the Ministry of Land, Infrastructure and Transport (MOLIT) as aviation training organizations (ATO), safety management based on the Aviation Safety Management System (SMS) became mandatory. However, even though safety management using SMS has become mandatory, the performance of aviation safety voluntary report, which is the core of the system, remains low compared to other countries. The current address of SMS, a ATO, is like a watermill without water. The present study is to find out why voluntary aviation safety reports, which is equivalent to water from waterwheel, is underperforming and to suggest ways to revitalize it.

• Food Science and Industry
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• v.50 no.2
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• pp.98-109
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• 2017

he safety and quality of the food supply are governed by a complex system and food safety management is one of the most important tasks of every government and government agency. Different types of policies have been developed and emplyed to address current and upcoming challegnes. In many counties including South Korea, much effort has been made to reform food safety system including organizational transformation and policy change. Food safety agencies including their history in four countries -U.S., England, Japan, and EU- are reviewd and major policies which have been recently employed by thses four contries are also examined. Additionally, the report of EU food safety and nutiriton in 2050 is introduced and scenarios of future change and policy responses in the report are exmained. Lastly, insight into this issue is given based on review of organizational transformation and major policies in four countries.

• Journal of the Korea Safety Management & Science
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• v.11 no.4
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• pp.1-6
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• 2009

This study was evaluated the indicators of GRI guideline LA6-LA9 for industrial safety sanitation field on 22 domestic sustainable management reports and 46 overseas reports published by companies in 2007 and 2008, was developed new indicators with emphasis on industrial safety sanitation act, and was assessed whether they are released. As a result, LA6(Percent of total workforce represented in formal joint management-work health and safety committees that help monitor and advise on occupational health and safety programs) was evaluated highest in release ratio on whether to release the reports by each indicator of industrial safety sanitation field using domestic sustainable management report GRI guideline, and in the case of overseas companies, it was evaluated that there is no companies that release all from LA6 through LA9 among GRI guideline, but it was grasped that the ratio of partial release is high. As for the release of indicators was developed with the use of industrial safety sanitation act of 22 domestic companies, the release of indicator No. 1(report and industrial disaster record) and 10(health diagnosis) of industrial safety sanitation act was high. This study is meaningful in that it analyzed the industrial safety sanitation field of sustainable management report(CSR) that has not been attempted so far with the use of new indicators developed with emphasis on GRI guideline and industrial safety sanitation act.

• Journal of the Korean Society of Safety
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• v.15 no.1
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• pp.53-58
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• 2000

In a car accident in Kyongju, each of the two occupants insisted that he was not driving the car. The accident was investigated to determine who the driver is through careful review of the collision report, the statements of accident and witness, photographs taken at the scene, and the expert report of the National Institute of Scientific Investigation. The accident was reconstructed based on the physical principles, injuries of occupants, damages of the involved vehicles and their final stops. A mistake was found in the expert report.