• The Journal of Bigdata
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• v.5 no.2
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• pp.155-170
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• 2020

The purpose of this study was to apply machine learning techniques (Decision Tree, Random Forest, XGBoost) to data from the 4th~6th year of the Seoul Education Longitudinal Study to find the factors predicting the career maturity of middle school students in Seoul city. In order to evaluate the machine learning application result, the performance of the model according to the indicators was checked. In addition, the model was analyzed using the XGBoostExplainer package, and R and R Studio tools were used for this study. As a result, there was a slight difference in the ranking of variable importance by each model, but the rankings were high in 'Achievement goal awareness', 'Creativity', 'Self-concept', 'Relationship with parents and children', and 'Resilience'. In addition, using the XGBoostExplainer package, it was found that the factors that protect and deteriorate career maturity by panel and 'Achievement goal awareness' is the top priority factor for predicting career maturity. Based on the results of this study, it was suggested that a comparative study of machine learning and variable selection methods and a comparative study of each cohort of the Seoul Education Termination Study should be conducted.

• Journal of the Korean Society of Industry Convergence
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• v.26 no.2_2
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• pp.293-306
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• 2023

The purpose of this study is a descriptive research study to analyze the factors that affect Christians' COVID-19 preventive behavior. The subjects of the study were 262 adult Christians, and the data collected were using SPSS 25.0 and AMOS 21.0 programs. As a result of the study, the subject's religious maturity level was 4.21 ± .55 points out of 5 points, COVID-19 stress was 2.86 ± .73 points out of 5 points, optimism bias was 2.94 ± 1.26 points out of 7 points, and COVID-19 preventive health behavior was 4 points. The total score was 3. 54 ± . 44 points. As a result of the correlation analysis of the subject's religious maturity, COVID-19 stress, optimistic bias, and COVID-19 preventive health behaviors, COVID-19 preventive health behaviors were faith maturity (r=.156, p=.012), COVID-19 stress (r=.216, There was a positive correlation with optimism bias (r=174, p=.005). In conclusion, it can be said that the higher the religious maturity, the higher the COVID-19 stress, and the higher the optimistic bias, the better the preventive health behavior of COVID-19, and the explanatory power of the overall model was 9.4%. In the post-COVID-19 era, it is necessary to develop educational programs that can prevent infectious diseases and promote health in the community.

• The KIPS Transactions:PartD
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• v.13D no.4 s.107
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• pp.557-564
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• 2006

Information is used effectively and contributes in profit creation and not only support management judgment quick but important resource to be possible recycled. The recent information systems improve enterprise's competitive power by reflection of user's various requirements and becoming big and complex for adaptation of rapidly circumstance change. Also it is trend that importance of information quality is emphasized gradually. The biggest problem in user requirement that is based on low quality data support. In case of business management is achieved by low quality information, company can not help dropping their competitive power such as company's strategy establishment, strategy achievement and management concentration breakup against competitor. Information of low quality increase time and expense to improve inaccurate data or revise and it is hard to accept correct information from specific situation. To solve these problems, we have to gain high quality data through definite comprehension, data management system establishment, and systematic data management achievement etc. Up to now, information quality and connected study were developed partially, but systematic methodology of information quality management's whole condition was not existed. Therefore, in this paper can show you how to extract process for information quality management & related evaluate factor with CMM (Capacity Maturity Mode]) 5 steps that is information warranty of quality process step. This paper whishes to contributes in competitive company or organization activity through information quality improvement management process.

• Informatization Policy
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• v.30 no.3
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• pp.3-28
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• 2023

This study aims to analyze the usage behavior of e-government service users based on the e-government maturity model and provide suggestions for advancement of the e-government services. The changes in Korea's e-government services were analyzed as follows; 1) Proportion of use of e-government services in Korean public services, 2) E-government service types/stages use, 3) Service use by platform 4) User response to e-government service 5) Users' requests for future e-government service usage methods. For the analysis, this study used data from Korea's 2012-2020 e-government usage behavior survey data. As a result of the analysis, first, the proportion of e-government service has been continuously increasing, and second, the use of the e-participation stage is relatively low compared to the presenting information, interaction, and transaction stages. Third, by platform, e-government service has been expanded to various access platforms such as mobile, kiosk, and SNS centering on the web. Fourth, users' satisfaction with e-government service is very high. However, to vitalize e-government services, users requested improvements such as providing one-stop integrated services and simplifying authentication procedures. Based on the analysis results, this study 1) reflects the user's point of view in the maturity model of e-government, 2) considers access to various platforms according to the development of digital technology, 3) improves the e-government maturity model through data-based analysis such as user usage behavior suggested the need.

• Journal of the Korea Institute of Military Science and Technology
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• v.13 no.2
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• pp.235-242
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• 2010

DSTC(Defense Systems Test Center) in ADD(Agency for Defense Development) performs a test for various kinds of weapon system. In order to provide accurate test measurement data relating to the weapon system's performance with customer, A reliable test process and an objective analysis of the measurement data are required. DSTC is trying to apply CMMI(Capability Maturity Model Integration) Ver 1.2 in a test process. In this paper, we present the result of CMMI Engineering Process Area Modelling of Test Process.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.05a
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• pp.67-68
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• 2019

The mechanical and durability characteristics of concrete structures depend on the construction environment, material conditions, design conditions, and temperature and humidity environment after casting. However, wired communicati-on sensors which are mainly used in the field have many limitations in their usability and monitoring. In this study, all temperature and humidity data measured from embedded sensors are monitored via a wireless sensor network. Based on the measured temperature data, the predicted compressive strength of the concrete was compared with the actual compressive strength. As a result, The error between predicted strength and experimental strength has decreased over time.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.153-154
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• 2022

본 논문에서는 역연령으로 구분되었던 기존 생물학적 성숙도에 기반한 체력 지표가 아닌 골성숙도를 활용한 생물학적 성숙도에 기반하여 유소년의 신체에 맞는 체계적인 운동을 추천하는 기법을 제안한다. 이를 통해 유소년의 성장기에 개인화된 운동능력 발달을 성취하게 함으로써 국민 체력 증진에 기여하고 체육 공교육 활성화 및 유소년 피트니스 관리 산업 발전에 도움이 될 것으로 기대한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.456-458
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• 2009

소프트웨어의 크기가 커지고 복잡도가 증가함에 따라 소프트웨어 품질의 중요성은 점점 증대되고 있다. 소프트웨어의 품질 향상을 위해 소프트웨어 개발 조직은 테스트와 동료검토와 같이 제품 품질 향상을 위한 노력과 CMMI(Capability Maturity Model Integration), 소프트웨어프로세스 품질인증 기준과 같은 프로세스 품질 향상 노력을 하고 있다. 그러나 이러한 소프트웨어 분야의 품질 관리의 노력과 효과에 소요되는 품질비용에 대한 연구는 제조업이나 건설업 등 타 분야에 비해 부족한 실정이다. 본 연구에서는 소프트웨어 프로세스 개선을 위한 모델인 CMMI의 성숙도 레벨에 기반하여, K사의 품질비용관리 방안 적용 결과를 바탕으로 CMMI 성숙도 각 레벨마다 소프트웨어 개발 조직이 품질비용을 관리를 위한 목적과 활동으로 정의된 품질비용 관리 모델의 개발을 연구하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.3
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• pp.1223-1233
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• 2011

The purpose of this study was to investigate the differences in university student's career maturity according to general characteristics(for example, gender, grade, and SES) and undergraduate student's career decision-making styles. A scale measuring the career decision-making styles(Harren, 1984) and career maturity(Crites, 1978) was administered to 223 university students around the capital city. The data were analyzed using Cronbach's ${\alpha}$ tests, means, standard deviations, One-way MANOVAs, and Multiple Discriminant Analyses. The results of this study were as follows: 1. There was not significant difference by gender in career maturity. But there were significant differences by grade and SES in career maturity. Freshmen and Senior exhibited higher career decision-making attitude than sophomores and juniors. High-SES group showed higher career decision-making attitude and lower career independence. 2. There were significant differences by career decision-making styles in career maturity. 51.1% of our samples were rational decision-making styles, 30.0% of our samples were intuitive decision-making styles, and 18.8% of our samples were dependent decision-making styles. Undergraduate students with rational decision-making styles showed more positive career choice behavior and higher career independence than undergraduate students dependent decision-making styles.

• Journal of the Korean Applied Science and Technology
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• v.35 no.2
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• pp.454-462
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• 2018

This study is a descriptive research study to examine influence of major satisfaction and career maturity on the job-seeking stress of nursing and public health university students. This study surveyed 410 nursing and public health university students from 3 schools of G-city from September 26 to October 31, 2017. The data were analyzed by descriptive statistics, ANOVA, ANCOVA, Pearson correlation coefficients, and multiple regression. The study results showed a significant difference in major satisfaction (F=9.856, p<.001) and career maturity (F=6.005, p=.001) according to major choice motives. The student GPAs were also found to be significantly different from career maturity (F=2.755, p=.042) and job-seeking stress (F=3.503, p=.016). In addition, the TOEIC score was significantly different from major satisfaction (F=4.514, p=.004). Job-seeking stress was positively correlated with major satisfaction (r=-.314, p<.001) and career maturity (r=-.514, p<.001). The factors affecting job-seeking stress were in the order of major satisfaction (${\beta}=-.125$, p=.007) and career maturity (${\beta}=-.459$, p<.001). Based on the results, two proposals are recommended in order to reduce the job-seeking stress of nursing and public health university students. It is necessary to prepare major guidance programs suitable to the characteristics of each department from the lower grades and to provide the students with career guidance accordingly.