• Korean Journal of Child Studies
• /
• v.37 no.3
• /
• pp.53-68
• /
• 2016

Objective: This study examined the relationships between negative affect, social support, and career maturity among adolescents. Methods: The participants in this study comprised 260 $1^{th}$ junior high school students in a Seoul metropolitan area. They completed questionnaires on level of negative affect, social support, and career maturity. Data were analyzed by means of basic descriptive statistics, Pearson's correlations, and multiple and hierarchical regression analyses. Aiken and West's method was used to determine the interactive model's modality. Results: The major findings were as follows: First, negative affect was negatively correlated with social support and career maturity. Social support was positively correlated with career maturity. Second, significant interaction effects were found between negative affect and social support on career maturity; that is, for male students, significant interaction effects were found between negative affect and social support (parent support) on career maturity (career determinacy/career independence). For female students, significant interaction effects were found between negative affect and social support (peer support) on career maturity (career confidence/career readiness/career determinacy/career independence). Conclusion: These results suggest the need to intervene in relation to social support (parent support/peer support) and to improve career maturity among adolescents.

• Korean Journal of Agricultural Science
• /
• v.49 no.4
• /
• pp.785-793
• /
• 2022

In this study, tomato maturity was estimated based on deep learning for a harvesting robot. Tomato images were obtained using a RGB camera installed on a monitoring robot, which was developed previously, and the samples were cropped to 128 × 128 size images to generate a dataset for training the classification model. The classification model was constructed based on convolutional neural networks, and the mean-variance loss was used to learn implicitly the distribution of the data features by class. In the test stage, the tomato maturity was estimated as a continuous index, which has a range of 0 to 1, by calculating the expected class value. The results show that the F1-score of the classification was approximately 0.94, and the performance was similar to that of a deep learning-based classification task in the agriculture field. In addition, it was possible to estimate the distribution in each maturity stage. From the results, it was found that our approach can not only classify the discrete maturation stages of the tomatoes but also can estimate the continuous maturity.

• Journal of Environmental Science International
• /
• v.24 no.11
• /
• pp.1547-1550
• /
• 2015

Fuji apple variety introduced in Japan has excellent storage quality and good taste so it is most commonly cultivated in the Korean Peninsula. Accurate prediction of harvest maturity allows farmers to more efficiently manage their farm, such as working time, fruit storage, market shipment and labor distribution so it is very important. This study was carried out to predict the harvest maturity of 'Fuji' apple using DTS (Days Transformed to Standard temperature) model based on the Arrhenius law in the Gunwi province of the South Korea. Input data are daily average temperature and apple harvest maturity. Predicted the harvest maturity of Fuji apple after estimating the optimal parameters by using the Nelder-Mead method. The differences of observed and predicted harvest maturity day are approximately 1 to 4 days and the RMSE is 2.9.

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

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.10
• /
• pp.141-148
• /
• 2020

This paper analyzes factors affecting the debt maturity structure of enterprises listed on the Vietnam stock market. The panel data of research sample includes 549 non-financial listed enterprises on the Vietnam stock market from 2009 to 2019. The Generalized Least Square (GLS) tool is employed to address econometric issues and to improve the accuracy of the regression coefficients. In this research, debt maturity structure is the dependent variable. Capital structures, fixed assets, liquidity, firm size, asset maturity, profitability, corporate income tax, gross domestic product, inflation rate, credit growth scale are independent variables in the study. The model results show, that among the factors affecting the structure of debt maturity, the capital structure, asset structure, and firm size have the highest estimation coefficients, which shows that capital structure, asset structure, and firm size plays an important role in the decision-making process of debt maturity structure. The empirical results show that there are differences in the impact of these factors on the debt maturity structures in state-owned enterprises and non-state enterprises listed on the Vietnam stock market. The findings of this article are useful for business administrators, helping business managers make the right financial decisions to determine the target debt maturity structure in enterprises.

• Journal of Korean Society for Quality Management
• /
• v.47 no.3
• /
• pp.479-496
• /
• 2019

Purpose: The purpose of this research is to develop defense quality evaluation model in order to improve the problem of private sector quality evaluation model and propose the total integrated defense quality management model which enables to evaluate not only large defense industry, but also small-medium industry. Methods: This paper consider the characteristics on ISO 9001 Quality Management System, single PPM, PASS and defense quality and develop defense quality maturity model and index which enables to measure the current quality management level and characteristics and to evaluate operational characteristics in each maturity level for domestic defense industry. Results: From 176 DQMS certified defense industry, the defense quality maturity level is 68,2, C grade. The large defense industry shows, 80.9, A grade; medium industry 69.7, C grade; small-medium industry shows 54.1, D grade. Through the classified types of industries, the current level of quality management of defense industries was diagnosed and the areas to be supplemented for the total quality management were identified. Conclusion: Developed DQMI can be used as the basic information for spreading quality management activities in the defense industry by diagnosing the overall quality management of existing defense industries and quantifying the ambiguity of non-metric measurements and measurement standard that were presented as the threshold of the defense quality management system certification process.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2012.05a
• /
• pp.251-252
• /
• 2012

The exiting studies on the strength prediction by maturity method is mainly focused on concrete using OPC, meanwhile the study on the concrete mixing blast furnace slag powder (BFSP) is insufficient. The purpose of this study is to investigate the relationships between compressive strength and equivalent age by existing Maturity functions, i.e., Nurse-saul function Arrhenius function. This study also compared and examined the strength prediction of concrete mixing BGSP using ACI model and Logistic Curve prediction equation. Therefore, it is intended that fundamental data are presented for quality management and process management of concrete mixing BFSP.

• Proceedings of the CALSEC Conference
• /
• 2003.09a
• /
• pp.148-154
• /
• 2003

An Evaluation System of Personal Information Competency was developed to evaluate individual Information competency and maturity levels in the enterprises of the information environment. The Evaluation System measures the requirements of information knowledge, skills, and mindset with the evaluation indices of personal information maturity. The indices are customized to four types of business departments - strategy Planning, development/maintenance, business applications, and administration support. Also, a maturity model of personal information competency is defined for interpretation of the evaluation results. The system was applied to assessment of actual human resources, 124 workers in an enterprise, to testify to its practical value. The case evaluation procedures include a series of questionnaires, written tests and application tests.

• The Journal of Information Systems
• /
• v.19 no.2
• /
• pp.97-118
• /
• 2010

Software Process Improvement(SPI) has been a challenging issue to software organizations. The factors affecting SPI were analysed for improving software development processes. Numerous studies suggested influencing factors, and assessment models were utilized for software improvement. This research suggested that SPI factors affecting on an organizational performance may vary according to the CMM(Capability Maturity Model) level. The moderating effects of organizational maturity level between the SPI factors and the organizational performance were empirically tested. This research found that all six SPI factors except for the resistance to change affected the organizational performance. The moderating effects of management support, goal alliances, participation, and effect analyses were empirically supported. These results can provide several implications or a practical guidance to academic and industry professionals.

• Journal of Information Processing Systems
• /
• v.14 no.3
• /
• pp.607-620
• /
• 2018

The problem surrounding methods of implementing the software testing process has come under the spotlight in recent times. However, as compliance with the software testing process does not necessarily bring with it immediate economic benefits, IT companies need to pursue more aggressive efforts to improve the process, and the software industry needs to makes every effort to improve the software testing process by evaluating the Test Maturity Model integration (TMMi). Furthermore, as the software test process is only at the initial level, high-quality software cannot be guaranteed. This paper applies TMMi model to Automobile control software testing process, including test policy and strategy, test planning, test monitoring and control, test design and execution, and test environment goal. The results suggest improvement of the automobile control software testing process based on Test maturity model. As a result, this study suggest IT organization's test process improve method.