• Journal of the Korean Society for Library and Information Science
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• v.57 no.1
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• pp.213-231
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• 2023

The purpose of this study is to develop and present a model that can evaluate the data maturity of library. To achieve this goal, library data maturity model can be applied to library was designed by analyzing previous studies related to data maturity. As a result of this study, proposed data maturity model consisting of 19 evaluation factors in 5 areas was designed, and the maturity level was set to 5 levels. In the future, it will be possible to measure the data maturity of libraries participating in the library big data project using the data maturity evaluation model, and it can be expected that in the long term, it will be possible to present a direction for data-based library operation and data utilization development.

• The Journal of Society for e-Business Studies
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• v.11 no.4
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• pp.21-32
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• 2006

When Enterprise Architecture(EA) is defined and applied, it is needed to assess the EA capability, and to identify guides for improvement. According to these needs, this paper presents an enterprise architecture maturity model to assess the EA capability, to identify the details for improving EA, to suggest the guides for improvement, and to support decision-making for investment. The model which refers to the continuous representation of CMMI consists of 5 maturity levels, 4 capability areas including 15 capability elements, and capability indications to make a determination of maturity level by capability elements. The model concentrates on the development/stabilization of EA and the connection/coordination over the federal agencies.

• Journal of the korean academy of Pediatric Dentistry
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• v.48 no.1
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• pp.31-41
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• 2021

The aim of this retrospective study was to evaluate the correlation between the midpalatal suture maturation and skeletal maturation in growing children aged 7 - 15 years and predict the maturational stages of the midpalatal suture corresponding to skeletal maturity assessed by the skeletal maturation indicators (SMI) and middle phalanx of the third finger (MP3) stages. The group of this retrospective study was consisted of randomly selected 132 male and 135 female in age from 7 - 15 years. The maturation of the midpalatal suture was evaluated by using images from cone-beam computed tomography (CBCT) while the skeletal age was assessed by hand-wrist radiography. CBCT images and hand-wrist radiographs used in this study were obtained from all subjects for orthodontic diagnosis before orthodontic treatment. The maturational stages of the midpalatal suture showed strong correlations with both SMI and MP3 stages. The correlation between the midpalatal suture maturation and SMI (Spearman's correlation coefficient, ϒ_S = 0.905, p < 0.05) was slightly greater than that of MP3 stages (ϒ_S = 0.830, p < 0.05). There was a positive significant correlation between the midpalatal suture maturation and chronological age (ϒ_S = 0.868,p < 0.05). CBCT for evaluation of the midpalatal suture maturational stages may be unnecessary in every pediatric patients because SMI and MP3 stages were both replaceable useful methods for assessing maturation of the midpalatal suture before orthopedic treatment. In this retrospective study, the diagnostic reliability of the SMI method for estimating midpalatal suture maturation showed better reliability than the MP3 method.

• Journal of KIISE:Software and Applications
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• v.36 no.9
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• pp.718-731
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• 2009

Software Maintenance needs to continually improve from corrective maintenance to operational management and service improvement. In this study, we propose a software maintenance maturity model and its evaluation criteria based on 4 maintenance projects of K organization. For the proposal, we derive 13 process areas and 64 evaluation criteria based on some references such as SMMM, ITSMM, ITIL. We evaluate the criteria using 5-point scale, and then establish the maturity model of K organization classified by levels of the maturity model based on the evaluation result. And, to verify and improve the maturity model of K organization, we propose improvements for evaluation criteria. In addition, we apply the maturity model to the 4 projects, evaluate the projects, and propose improvements for the projects based on the evaluation result to identify how the model shows software maintenance improvement.

• Journal of the korean academy of Pediatric Dentistry
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• v.46 no.3
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• pp.247-254
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• 2019

This study aimed to investigate the correlation between maxillary canine's dental maturity and skeletal maturity of growing children. Cephalometric radiographs, hand-wrist radiographs and panoramic radiographs of 299 children aged 6 - 17 years were analyzed to measure the cervical vertebral maturation stages (CVMS), skeletal maturity indicators (SMI) and Demirjian index (DI). Spearman correlation test was used to analyze the correlation between dental maturity and skeletal maturity. There was significant positive correlation between the DI and CVMS in both boys and girls (p = 0.000). Similarly positive correlation was found between the DI and SMI (p = 0.000). The results of this study suggest that the dental maturity of maxillary canine can be used as auxiliary maturity indicator in growing children.

• The Journal of Bigdata
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• v.6 no.1
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• pp.13-22
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• 2021

The purpose of this study is to develop and demonstrate a framework for evaluating the maturity of big data for effective data strategy establishment and efficient investment of companies. By supplementing the shortcomings of the evaluation developed so far, a framework was developed to evaluate the maturity of a company's big data in an integrated process. As a result, four evaluation areas of 'Vision and Strategy', 'Management', 'Analysis' and 'Utilization', assessment items for each area, detailed content, and criteria for each stage were derived. This was verified through a survey of entrepreneurs, and the maturity level of big data of domestic companies was confirmed. As a future research direction, it is proposed to develop detailed assessment factors according to the characteristics of each industry, to develop a data utilization framework according to the assessment results, and to improve validity and reliability through adjustment of verification targets.

• The korean journal of orthodontics
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• v.28 no.2 s.67
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• pp.285-295
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• 1998

In clinical orthodontics, it is significant to understand the stage of growth in a growing patient. In order to assess the skeletal maturity of the patients, the hand-wrist radiograph and the cervical vertebrae (Cervical Vertebrae Maturation Indicators : CVMI) was evaluated from the lateral cephalograph and the skeletal maturity determined from the hand-wrist X-ray (Skeletal Maurity Indicators : SMI) taken on the same day in the same patients, and its interrelationship examined to come up with the following results: 1. The skeletal maturity evaluated from the hand-wrist radiograph and the maturation of the cervical vertebrae from the lateral cephalograph showed a significant interrelationship with each other. 2. In the evaluation of the skeletal maturity using the SMI and CVMI, the CVMI 1 showed a siginificant correlation with SMI 1, 2, the CVMI 2 with SMI 3, 4, CVMI 3 with SMI 6, 7, CVMI 4 with SMI 7, 8, CVMI 5 with 9, 10 and CVMI 6 with SMI 11. 3. When the morphological changes in the 2nd and 3rd cervical vertebrae were separately observed, it was seldom that the concavity appeared in the lower border of the 2nd cervical vertebra and at the same time not appear in the 3rd cervical vertebra (CVMI 2 : 10.38%, CVMI 3 : 6.56%) 4. In each of the skeletal maturation stage evaluated from the hand-wrist and the cervical vertebra, the average age and its standard deviation in male and female patients appeared to have large differences among individuals. Skeletal maturation seemed to appear earlier for the girls than for the boys, and its termination 24 months faster for girls.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.8
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• pp.379-384
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• 2017

In real software business environment, there are required to validate software quality in diverse usage range of software for many small & medium companies. Software quality means both qualities of production and process. In our situation, we focus on better process quality of a test organization than a whole organization. But even the original test maturity model (TMM) does not enough to apply with our domestic venture/small & medium companies. To solve this problem, we suggest the simplified test maturity model for our companies. We redefine this simplified model with the original TMM and a test process improvement next (TPI next) model. The previous models just have provided each definition of maturity level, goal and activity per each level, which not exists an assessment guideline and a formal assessing procedure. Due to this reasons, an assessor is difficult to assess the test organization without them. this paper suggest an assessment guideline of the simplified TMM and also define the procedure which is included with activities and byproducts. With these assessment guideline, an assessor can work possible to formally assess test organizations of small & medium companies, and with self assessment guideline they can be correctly provision before assessment of their organizations.

• Journal of the korean academy of Pediatric Dentistry
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• v.46 no.2
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• pp.139-146
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• 2019

This study aimed to analyze the association of midpalatal suture (MPS) maturation stages with skeletal maturation and age and to obtain references for establishing a treatment plan for rapid maxillary expansion (RME). Cone-Beam Computed Tomography (CBCT) images from 480 children (240 boys, 240 girls) aged 7 - 15 years were obtained. MPS maturation stages and cervical vertebral maturation indicator (CVMI) were evaluated, and the correlations between MPS maturation stages, CVMI, and age were determined using the Spearman's correlation test. The positive likelihood ratio (LHR) of CVMI for MPS maturation stages was calculated. MPS maturation stages and CVMI showed a strong correlation. Especially, CVMI 1 - 3 showed positive LHR greater than 10 for the diagnosis of stages A - C. MPS maturation stages and age were correlated strongly in girls and moderately in boys. Conventional RME produces the most favorable skeletal effect at CVMI 1 - 3 or those up to 12 years of age and fewer skeletal effects at CVMI 4 or at 13 years of age in girls and 13 - 15 years in boys. It is recommended to evaluate MPS maturation stages using CBCT before RME application at CVMI 5, 6 or at 14, 15 years of age in girls.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.12
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• pp.461-468
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• 2022

Development of the big data industry, the cases of providing data utilization services on digital platforms are increasing. In this regard, research in data-related fields is being conducted to apply the FAIR principle that can be applied to the assessment of (meta)data quality, service, and function to data quality evaluation. Especially, the European Open Data Portal applies an assessment model based on FAIR principles. Based on this, a data maturity assessment is conducted and the results are disclosed in reports every year. However, public data portals do not conduct data maturity evaluations based on metadata. In this paper, we propose and evaluate a new model for data maturity evaluation on a big data platform built for multiple domestic public data portals and data transactions, FAIR principles used for data maturity evaluation in Europe's open data portals. The proposed maturity evaluation model is a model that evaluates the quality of public data portal datasets.