• Journal of Navigation and Port Research
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• v.39 no.3
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• pp.199-207
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• 2015

In ports of Korea, the marine traffic flow is congested due to a large number of vessels coming in and going out. In order to improve the safety and efficiency of these vessels, South Korea is operating with a Vessel Traffic Service System, which is monitoring its waters for 24 hours. However despite these efforts of the VTS (Vessel Traffic Service) officers, collisions are occurring continuously, the risk situation is analyzed that occurs once in about 20 minutes, the risk may be greater. It investigated to reduce these accidents by providing a safety standard for collision danger in a timely manner. Thus, this study has developed a risk prediction module to predict risk in advance. This module can avoid collision risk to adjust the speed and course of ship using a risk evaluation model based on ship operator's risk perspective. Using this module, the ship operators and VTS officers can easily be identified risks in complex traffic situations, so they can take an appropriate action against danger in near future including course and speed change. To verify the effectiveness of this module, this paper predicted the risk of each encounter situation and confirmed to be capable of identifying a risk changes in specific course and speed changes at Busan coastal water.

• Communications for Statistical Applications and Methods
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• v.12 no.1
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• pp.11-18
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• 2005

Assume that the life times of the units under test follow the Rayleigh distribution and the test is terminated at a pre assigned time. Acceptance sampling plans are developed for this situation. The minimum sample size necessary to ensure the specified average life are obtained and the operating characteristic values of the sampling plans and producer's risk are given. An example is given to illustrate the methodology.

• Journal of Korean Academy of Nursing
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• v.34 no.1
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• pp.93-101
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• 2004

Purpose: This study was designed to explore the relationship of situational meaning with maternal self-esteem in mothers with high risk newborn. Method: The subjects of this study were 82 mothers with high risk newborn. Data were collected using a translated Family Meaning Attribution Scale and Maternal Self-Report Inventory. Data were analyzed using descriptive statistics, t-test, Pearson Correlation Coefficients and Stepwise Multiple Regression. Result: The average score of the situational meaning in high risk newborn mothers was 64.0l(possible score is between 0-96) and the average score of each item was 1.98. The average score of the maternal self-esteem in high risk newborn mothers was 81.96(possible score is between 26-104) and the average score of each item was 3.15. No significant differences were found in situational meaning according to general characteristics except whether it was a planned pregnancy or not. No significant differences were found in maternal self-esteem according to general characteristics except disease or admission experience during pregnancy. There was significant positive correlation between situational meaning and maternal self-esteem. Conclusion: It is necessary for nurses to provide high risk newborn mothers with care for improving situational meaning that is attributed to the mothers. It can be helpful to improve maternal self-esteem and in the end it will facilitate the maternal transition in mothers with high risk newborn.

• Journal of the East Asian Society of Dietary Life
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• v.17 no.3
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• pp.456-462
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• 2007

Food safety has been a growing consumer concern over the last few decades, and remains a priority for consumers, the food industry, and regulatory agencies alike. Although consumer concern for food safety has increased, consumer confidence has decreased. The emphasis on food safety is related to that of preliminary risk management. The ability to collect and provide food risk information is a key element in enhancing the way food safety authorities protect consumers from risk. This review aims to investigate the current situations of international organizations, as well as several countries' systems for collecting and providing food risk information. Through the comparison and analysis of each system, this review proposes strategies to establish a systematic collecting of information and provision of infrastructure in Korea. To develop an information collection system suited to Korea's situation, it is necessary for Korea to strengthen interactions and cooperation with other trade partners through the enlargement of international networks. Such efforts on food risk communication should be made by providing high quality and clear information.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.9
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• pp.1398-1408
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• 2009

This study focuses on how positive emotions form when consumers impulsively purchase fashion products. Examined are the novelty seeking situations and the fashion knowledge of consumers as influential factors that affect positive impulsive shopping emotions along with the mediating role of the perceived risk of consumers for purchase and non-purchase. An online survey was conducted for the empirical research with a questionnaire about the fashion impulsive purchases of a product within the last 2 months. A total of 555 surveys were collected from impulsive female buyers and 404 complete responses were analyzed. The results find that the perceived risk is identified into purchase and non-purchase perspectives. Purchase perceived risk influenced negatively on positive emotions of impulsive purchase and non-purchase perceived risk positively. The perceived risk for non-purchase versus purchase increased by the more fashion knowledge consumers had and the more they shopped as novelty seeking. The results imply that non-purchase perceived risk importantly mediated between the influential factors and positive affect for impulsive purchase. Based on the findings, this study proposed some marketing suggestions and thoughts about effective purchase stimulation.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.14 no.4
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• pp.61-74
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• 2004

Risk analysis model is systematic and structural process that considers internal security problems and threat factors of the information systems to find optimal level of security control. But, the risk analysis model is just only defined conceptually and there are not so many empirical studies. This research used structural equation modeling(SEM) research methodology with rigorously validated research instrument. Based on results of this study, risk analysis methodology was proved to be practically useful in e-commerce environment. Factors like threat and control were significantly related to risk. In conclusion, the results of this study can be applied to general situation or environment of information security for analyzing and managing the risk and providing new approach to comprehend concept of risk in e-commerce environment.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.11a
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• pp.89-94
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• 2004

Up to now a lot of the study on ship collision avoidance systems has proceeded actively. However the frequency of ship collision accidents didn't decreased. If there is collision risk in close quarters situation none the less manouvering ship for collision avoidance according to the system, only use of TCPA and DCPA as input factor for collision risk decision is not useful to avoiding collision action. For the recent 5 years by the analysis of first observation distance about approaching ship in domestic collision accidents, nearly $45\%$ of accidents is close first observation less than 2 miles. Therefor it is essential part for safety navigations to study for collision avoidance action in close encounter. In this paper, as foundation study of supporting collision avoidance manoeuvring for navigators, we proposed ship collision avoidance support model in close quarters situation through analysis of collision accidents for effective getting rid of the causes.

• Journal of Navigation and Port Research
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• v.28 no.10 s.96
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• pp.827-832
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• 2004

Up to now a lot of the study on ship collision avoidance systems have proceeded actively. However the rate of ship collision accidents hasn't decreased yet. If there is collision risk in close quarters situation in spite of maneuvering ship for collision avoidance according to the system, only use of TCP A and DCP A as input factor for collision risk decision is not useful to avoiding collision action. For the recent 5 years by the analysis of first observation distance about approaching ship in domestic collision accidents, nearly $45\%$ of accidents is close first observation less than 2 miles. Therefore it is essential part for safety navigations to study for collision avoidance action in close encounter. In this paper, as a fundamental study of supporting collision avoidance maneuvering for navigators, we proposed ship collision avoidance support model in close quarters situation through analysis qf collision accidents to effectively get rid of the causes.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.488-490
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• 2022

Recently, interest in industrial accidents such as the Industrial Safety and Health Act and the Serious Accident Punishment Act is increasing, and the demand for safety managers for safety management of workers in research institutes and industrial fields of various fields is increasing. For worker safety management, CCTVs are being installed in factories and workplaces, and workers are monitored to enhance safety management. In this paper, we intend to design a dangerous situation assessment system by constructing data using CCTV in such a workplace and modeling it in JSON format. The data modeling was produced by referring to the data set construction guide for artificial intelligence learning and the quality management guideline of the Korea National Information Society(NIA). Through this system, we want to check what kind of risk management exists in the workplace by risk situation scenario and use it to build a more systematic system.

• Journal of Information Science Theory and Practice
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• v.12 no.2
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• pp.49-63
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• 2024

Information behavior played a significant role in minimizing the risks of the COVID-19 pandemic. When faced with such a situation, an individual needs information for decision-making and in order to determine the best course of action relating to their health. This study aims to explore information behavior during each phase of the COVID-19 pandemic in Indonesia, which is known for its close-knit collective culture. A sensemaking approach is used, which emphasizes the process individuals go through to understand their situation and give meaning to the information they are getting from their environment. Data was collected through in-depth interviews with 10 participants to obtain a description of their information behaviors during the pandemic. Data analysis was carried out using open, axial, and selective coding. We propose a sensemaking-based information behavior strategy framework for mitigating risk and reducing ongoing health crises. Changes in information behavior strategies, including search, prevention, and restriction of information exposure, were random at the beginning of the pandemic, but became more regular in later phases. This was influenced by the "knowledge gap fulfillment" and "use of local knowledge" among the participants throughout the pandemic. In conclusion, the participants developed a sensemaking process including an understanding of the pandemic situation and the risks that they faced. They used a number of information behavior strategies to prevent transmission, and their perception of the risks changed across the course of the pandemic, up til the situation began to be considered back to normal again in Indonesia.