• Proceedings of the Korea Information Processing Society Conference
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• 2006.11a
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• pp.511-514
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• 2006

장기간동안 여러 기관의 협력을 통해 이루어지는 전사적 아키텍처(Enterprise Architecture, EA)의 특성상, 기관에서 EA를 도입부터 운영 및 정착, 그리고 고도화시키기 위해서는, 조직의 EA업무 수행 능력을 평가하고 개선하기 위한 적합한 EA기준이 필요하다. 하지만 국내 EA에 대한 연구는 아직 도입단계이기 때문에, EA조직의 수준측정을 위한 EA성숙도모델에 대한 연구는 활발하지 않다. 이러한 상황에 따라, EA조직의 수준측정을 위한 EA성숙도모델에 대한 연구는 활발하지 않다. 이러한 상황에 따라, EA성숙도 모델을 정의하고, 측정을 위한 평가항목과 해당 지침을 제시하고자 한다. EA성숙도 모델은 CMMI의 연속형 모델을 참고하여, EA성숙도 모델의 선진사례 분석과 정부 '정보시스템의 효율적 도입 및 운영 등에 관한 법률'을 기반으로 하여 총 4개영역 15개평가요소를 정의하였다. 성숙도 단계는 인식부터 최적화 단계까지 총 5단계로 정의하였으며, 이 중에서 첫 번째 단계인 인식단계의 평가항복별 지침을 제시하였다. 이렇게 각 항목에 대한 측정 대상자들의 이해를 높임으로써 좀 더 정확한 성숙도 평가 결과와 이를 기반으로 EA고도화를 위한 좋은 기준을 제시하고자 정의하였다.

• The KIPS Transactions:PartD
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• v.14D no.1 s.111
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• pp.57-66
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• 2007

Organizations of Software development are very important issue on enhancement of a software quality as rapid progress of software industry. Especially there are diverse attempts for enhancement of test maturity of the software organization through some kinds of the test maturity model. But the current test maturity models based on CMM(Capability Maturity Model) lack part of actual testing measurement and only measure level of test maturity. To solve these problems, we suggest 'double V-model' to execute both software development process and test process simultaneously, and also 'test attributes to Maturity Levels Correlation Matrix' for evaluating level of test maturity included with definitions of test attribute and level. That is, we enhance TMM(Test Maturity Model) adopted with 'Improvement Suggestion' of TPI(Test Process Improvement) which is easy the evaluation of test maturity of organization and gives the direction of improvement to level up the test maturity for the measured organization. As a result, we will contribute to level up the test maturity of the organization.

• Journal of the Korean Society for information Management
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• v.40 no.2
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• pp.243-262
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• 2023

In the rapidly developing information technology environment, information management organizations need to effectively evaluate their digital maturity and clarify the direction of improvement to effectively respond to rapidly changing environments. This study derived weights for the digital curation maturity model developed by KISTI from the perspective of digital transformation to facilitate effective evaluation and direction setting of information management organizations. Relative importance was derived as a weight in the major and middle categories of the model through the AHP technique. Summarizing the results, when the major categories of the entire model are measured on the basis of 100 points, technology is 27 points, data is 24 points, strategy is 19 points, organization (manpower) is 16 points, and (social) influence is calculated as 14 points. In addition, weights for each subcategory were presented for each major classification based on a perfect score of 100 points. It is expected that a more objective and reasonable evaluation will be possible by applying the weights for each area derived from this study to the digital transformation maturity evaluation model.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.12
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• pp.1710-1719
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• 2019

This study is intended to understand defense technologies that require the convergence of various technologies and the integration of systems, and to propose valuation methods that reflect the characteristics of each field. The measure of technology level, integration (system integration technology) between technologies, preparation of manufacturing, and maturity scale of the weapons system to be valued are measured according to the items of measurement factors to verify system performance, and to present a framework for estimating the quantitative values of core technologies using system maturity. Considering the characteristics of each technology field, the research suggests a proper valuation method. In evaluating the value of defense technologies, A proposal is made to evaluate the value of defense technology by competent technical experts in each field, using SRL, which can be evaluated according to the evaluation criteria reflecting the technical characteristics of each field, and to evaluate the completion of the entire system in quantitative terms.

• Journal of the korean academy of Pediatric Dentistry
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• v.48 no.3
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• pp.255-268
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• 2021

The aim of this study was to investigate the relationships between the stages of calcification of various teeth and skeletal maturity stages among Korean subjects. The samples were derived from hand-wrist, panoramic radiographs, and lateral cephalograms of 743 subjects (359 males and 384 females) with ages ranging from 6 to 14 years. Calcification of seven permanent mandibular teeth on the left side were rated according to the system of Demirjian. To evaluate the stage of skeletal maturation, hand-wrist radiographs were analyzed by skeletal maturity indicators (SMI) system of Fishman and lateral cephalograms by cervical vertebral maturation (CVM) method of Baccetti. Statistically significant relationships were found between dental calcification and skeletal maturity stages according to Spearman rank-order correlation coefficients (r = 0.40-0.84, p < 0.001). The second molar showed the highest correlation and central incisor showed the lowest correlation for female and male subjects. For both sexes, canine stage G and second molar stage F were related to SMI 6 and CS 3. Because of the high correlation coefficients, this study suggests that tooth calcification stages from panoramic radiographs might be clinically useful as a maturity indicator of the pubertal growth period in Korean patients.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.436-440
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• 2008

Evaluating the work process of the organization is necessary to improve efficiency and make high quality of results. As size of construction projects are bigger, it is also applied to design firm. By applying efficient process, design team can reduce rework and waste. To make systematic process and keep a continuous progress, process evaluation is required. On this study, CMMI(Capability Maturity Model Integration) concept is benchmarked. Originally CMMI is suggested to evaluating capability of work process of Soft Ware developing organization by SEI(Software Engineering Institute). From CMMI system, direction of making evaluating method of design project performing team is drove. After worked out the evaluation method of capability maturity of process in design team, it could contribute making progress in the design process and satisfying client.

• The korean journal of orthodontics
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• v.39 no.2
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• pp.120-129
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• 2009

Objective: To estimate dental maturity using the Demirjian Index for the mandibular third molar and investigate the relationships between dental maturity and skeletal maturity among growing children. Methods: The samples were derived from panoramic, lateral cephalometric and hand-wrist radiographs of 270 female subjects registered as patients at the orthodontic department, dental hospital, Yonsei University. Dental maturity [Demirjian Index (DI)] and skeletal maturity [skeletal maturation indicators (SMIs)] and cervical vertebrae maturation indicators (CVMIs)] were estimated from these radiographs. Results: There was a significant correlation (r = 0.64) between SMIs and DI, and a similar correlation (r = 0.59) was observed between CVMIs and DI (p < 0.001). If DI was above Stage E, then the SMI was above Stage 10 and the CVMI was above Stage 5. There was a weak correlation (r = 0.26) between age at menarche and DI (p < 0.001). There was no significant difference in DI among Class I, II or III malocclusions. Conclusions: Dental maturity evaluation using the mandibular third molar will be an adjunctive tool in combination with cervical vertebrae and hand-wrist maturity evaluations.

• The Journal of Society for e-Business Studies
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• v.18 no.4
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• pp.83-105
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• 2013

There are two ways to assess data quality : measurement of data itself and assessment of data quality management process. Recently maturity assessment of data quality management process is used to ensure and certify the data quality level of an organization. Following this trend, the paper presents the process reference model which is needed to assess data quality management process maturity. First, the overview of assessment model for data quality management process maturity is presented. Second, the process reference model that can be used to assess process maturity is proposed. The structure of process reference model and its detail processes are developed based on the process derivation approach, basic principles of data quality management and the basic concept of process reference model in SPICE. Furthermore, characteristics of the proposed model are described compared with ISO 8000-150 processes.

• KIPS Transactions on Computer and Communication Systems
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• v.3 no.9
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• pp.301-310
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• 2014

The absence of proactive information security management to ensure availability, accessibility and safety of information can bring serious risks to customers as well as to the organization's performance and competitiveness because improper security management undermines business continuity. This study analyzed the maturity of information security which affects the organizational performance. Through the literature reviews, a research model using the organizational performance as the dependent variable, the risk management process maturity and risk assessment process as independent variables and the information security policy indexes as moderate variables was proposed, and an empirical analysis was made on the basis of survey. The results showed that there was a high causal relationship between information security maturity and organizational performance. However, even if the proportions of information security staff ratio and the information security budget ratio increased, information security maturity did not affect organizational performance. It suggests that information security maturity affects organizational performance, but information security regulations have their limitation as being a catalyst to improve organizational performance.

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.219-227
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• 2020

Smart Factory is one of the fastest developing and changing fourth industrial revolution fields. In particular, the degree of introduction and maturity level in the smart factory is an important part. In this paper, a cluster analysis of companies introduced smart factory was performed based on a new maturity assessment model. The 68% of 193 companies surveyed were at the basic level, with only 21% being the middle one. Most SMEs cited lack of funds as the main reason for not entering the middle one. As a result of the cluster analysis, it was found that all clusters had similar patterns but grouped into one of three levels of high, middle, and low depending on maturity level of smart factory operation, and process domain had the highest maturity and data domain was lowest among the 6 domains. Through this, analysis of more specific and quantified maturity levels can be performed using 6-domain smart factory maturity evaluation model.