• Journal of radiological science and technology
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• v.47 no.4
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• pp.287-294
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• 2024

Radiation oncology departments are at high risk for potential radiation safety incidents. This study aimed to identify risk factors for these incidents using the P-mSHEL (Patient, Management, Software, Hardware, Environment, and Liveware) model and to evaluate potential accident types through Failure Mode and Effects Analysis (FMEA). FMEA identified seven accident types with high Risk Priority Number (RPN). A total of 56 detailed risk factors were classified using the P-mSHEL model, and measures to prevent radiation safety incidents were implemented. The effect of these preventive measures on workers' safety perception was confirmed through two indicators (FMEA and safety perception). After implementing the preventive measures, the FMEA analysis showed that the highest reduction in RPN was for A-6 (radiation exposure while other patients/guardians are present) with a reduction rate of 33.3%, followed by B-3 (radiation exposure while staff are present) with a reduction rate of 33.3%. Overall safety perception significantly improved after the preventive measures (4.17±0.35) compared to before (2.76±0.33) (p<0.05), with notable increases in both employee safety culture (3.93±0.51) and patient safety culture (3.73±0.62) (p<0.05). This study identified risk factors in radiation oncology departments. Continuous management, maintenance, and fostering a strong safety culture are crucial for preventing incidents. Regular problem identification and collaboration with relevant departments are essential for maintaining safety standards.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.2
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• pp.89-97
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• 2020

This study was conducted to examine how independent audit firms in Vietnam understand and use risk based audit approach (RBAA) in audit practice. To answer the research questions, the researchers used primary and secondary data collected from 2018 to 2019. The results from the interview survey showed that audit firms were aware of the advantages of adopting RBAA. However, RBAA is practiced to a moderate extent by audit firms in Vietnam. Big 4 audit firms use RBAA more popularly than Non-Big 4 audit firms. The causes of the difference are the disadvantages of adopting RBAA and client's characteristics such as relevant guideline, audit fees, auditors' knowledge and experience. Besides, the study investigated factors impacting on the RBAA adoption by distributing a questionnaire to 246 auditors of 126 audit firms in Vietnam. A set of statistical appropriate methods where used through SPSS software version 22.0. The results indicated that there were six factors influencing RBAA adoption including: Auditor's ability, Technological development, Audit fees, auditors' motivation, Audit time and client's risk. Of which, auditor's ability and technological development are factors that have the most significant and positive impacts on the adoption of RBAA. Additional implications were argued in the final section of this study.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.25-40
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• 2019

Many companies are executing big data analysis and utilization projects to legitimize the development of new business areas or conversion of management or technical strategies. In Korea and abroad, however, such projects are failing because they are not completed within specified deadlines, which is not unrelated to the current situation in which the knowledge base for big data project risk management from an engineering perspective is grossly lacking. As such, the current study analyzes the risk factors of big data implementation and utilization projects, in addition to finding risk factors that are highly important. To achieve this end, the study extracts project risk factors via literature review, after which they are grouped using affinity methodology and sifted through expert surveys. The deduced risk factors are structuralize using factor analysis to develop a table that categorizes various types of big data project risk factors. The current study is significant that in it provides a basis for developing basic control indicators related to risk identification, risk assessment, and risk analysis. The findings from the study contribute greatly to the success of big data projects, by providing theoretical basis regarding efficient big data project risk management.

• Korean Journal of Artificial Intelligence
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• v.11 no.1
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• pp.9-15
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• 2023

As mobile devices such as smartphones, tablets, and kiosks become increasingly prevalent, there is growing interest in developing alternative input systems in addition to traditional tools such as keyboards and mouses. Many people use their own bodies as a pointer to enter simple information on a mobile device. However, methods using the body have limitations due to psychological factors that make the contact method unstable, especially during a pandemic, and the risk of shoulder surfing attacks. To overcome these limitations, we propose a simple information input system that utilizes gaze-tracking technology to input passwords and control web surfing using only non-contact gaze. Our proposed system is designed to recognize information input when the user stares at a specific location on the screen in real-time, using intelligent gaze-tracking technology. We present an analysis of the relationship between the gaze input box, gaze time, and average input time, and report experimental results on the effects of varying the size of the gaze input box and gaze time required to achieve 100% accuracy in inputting information. Through this paper, we demonstrate the effectiveness of our system in mitigating the challenges of contact-based input methods, and providing a non-contact alternative that is both secure and convenient.

• Proceedings of the KSR Conference
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• 2004.06a
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• pp.254-261
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• 2004

Recently because of high-speed operation of trains, railway crossings become more and more hazardous components among the whole ones of railway system. It is desirable to remove all the railway crossings for reducing fatalities at railway crossings. it is impossible to eliminate all the crossings for unrealistic investment, so it should be considered to construct multi-level crossings by the order of priority. In this paper operation conditions, various hazard factors on the train accident at domestic railway crossings and foreign cases of risk-based safety assessment models are reviewed and then necessary record data that be added and modified, some essential considerations for developing railway crossing safety assessment software program are proposed.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.1
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• pp.79-86
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• 2021

In order to increase the probability of success in big data projects, quantified techniques are required to analyze the root cause of risks from complex causes and establish optimal countermeasures. To this end, this study measures risk factors and relationships through SNA analysis and presents a way to respond to risks based on them. In other words, it derives a dependency network matrix by utilizing the results of correlation analysis between risk groups in the big data projects presented in the preliminary study and performs SNA analysis. In order to derive the dependency network matrix, partial correlation is obtained from the correlation between the risk nodes, and activity dependencies are derived by node by calculating the correlation influence and correlation dependency, thereby producing the causal relationship between the risk nodes and the degree of influence between all nodes in correlation. Recognizing the root cause of risks from networks between risk factors derived through SNA between risk factors enables more optimized and efficient risk management. This study is the first to apply SNA analysis techniques in relation to risk management response, and the results of this study are significant in that it not only optimizes the sequence of risk management for major risks in relation to risk management in IT projects but also presents a new risk analysis technique for risk control.

• Information Systems Review
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• v.14 no.2
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• pp.103-115
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• 2012

Improvement of the capability to cope with risk based on prior preventive management is very important for efficient operation of financial information system. In order to do this, understanding, analysis, and countermeasures for the risk that happened already in the past is essential. In this study, the defect data which happened in the financial information system including account system, business system and data feeding system during 4 years and 5 months were categorized and analyzed by the domain, defect factors, period, day of the week, phases of software development, and defect cause. As a result, it was identified that the defect data had characteristics and trends along the phase of software development, day of the week, and the cause, also that building risk prediction model was necessary for the risk management of whole financial domain due to the relation of the information systems.

• Therapeutic Science for Rehabilitation
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• v.12 no.4
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• pp.111-122
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• 2023

Objective : To identify the effect of lifestyle risk factors on the daily activities and cognition of the older adults in the community using the National Health Insurance Corporation 2015 geriatric cohort database. Methods : Lifestyle risk factors were defined as body mass index (BMI), smoking, drinking, vigorous exercise, moderate exercise, and walking, and basic and instrumental activities of daily living (ADL) and cognitive function variables were included in the analysis. ADL and cognitive function according to sex and age were analyzed using a t-test and one-way ANOVA. The correlation between lifestyle risk factors, ADL, and cognitive function was analyzed using Pearson's correlation analysis, and multiple regression analysis was performed to analyze their influence. Results : The factors affecting basic ADL (BADL) were sex and walking exercises, with an explanatory power of 1.7%. Instrumental ADL (IADL) included age, drinking, and walking exercises, with an explanatory power of 2.6%. Cognitive function included sex, age, BMI, vigorous exercise, and walking, with an explanatory power of 5.3%. Conclusion : Lifestyle risk factors partially affected BADLs/IADLs and cognitive function in community-dwelling older adults. This suggests the need to systematically manage lifestyle risk factors to improve and maintain the healthy lives of older adults facing biological aging.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.9_10
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• pp.1384-1395
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• 2007

The purpose of this study was to investigate the factors of hairdo attitude and hairdo involvement, the differences in the hairdo involvement by hairdo attitude. The questionnaires were given to female residents in Seoul and Kyung-gi do during September to October 2006. 406 questionnaires were used for data analysis. The collected data were analyzed using SPSS 12.0 software such as factor analysis, Cronbach's alpha, ANOVA test and Duncan test. The results of this study were as follows: 1. The hairdo attitude factors were found to be 'leader's fashion conformity', 'distinct individuality', 'constancy', and 'consciousness of others' The hairdo involvement factors were found to be 'interests in hairdo', 'fashionableness', 'symbolic representation', 'risk awareness', and 'coordination of hairdo'. 2. As for the hairdo attitude, two groups were identified as the highly-oriented group and the lowly-oriented group. There were significant differences in all hairdo involvement factors depending on two groups. Highly-oriented groups of 'leader's fashion conformity' considered more about interests in hairdo, fashionableness, symbolic representation, and coordination of hairdo, except for risk awareness, signalling that the more people respond to leader's fashion, the higher they are involved with hairdo. Highly-oriented group of 'constancy' showed significant differences in fashionableness and risk awareness. Lower level of fashionableness but higher level of risk awareness than the lowly-oriented group. Highly-oriented group of 'consciousness of others' displayed high performance in all factors, implying that the more people respond to feedback and evaluation of others, the higher they are involved with hairdo.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.321-331
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• 2021

This study sought to analyze factors influencing high-risk drinking in single-person households. For this, data from the 2018 community health survey were used. Subjects were 32,389 adults above the age of 19 in single-person households. For the data analysis, high-risk drinking groups were extracted according to the high-risk drinking rate index of the survey to arrive at influencing factors and differences in health-related and sociodemographic characteristics. The IBM SPSS 25.0 software was used for analysis and a complex sampling design was applied. The results showed that the high-risk drinking rate of Korea's single-person households was 15.0% (male: 25.8%, female: 5.8%) and age, education under high school level, service-industry employees, smokers, people with depression, high blood pressure, and irregular breakfast eaters appeared as common elements for both genders. Stress appeared to only affect males while being diabetic only affected females. High-risk drinking was higher for males in their 30~40s and women in their 20~30s. The younger generation showed the highest numbers in high-risk drinking and factors like stress or depression appeared to be influencing factors for high-risk drinking. Hence, mental health programs along with customized health policies through health forms and lifestyle changes will be required to lower the high-risk drinking rates of single-person households.