• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.3
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• pp.18-26
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• 2017

Defense industries which require high reliability need an optimized quality management system with well-planned implementation. And the government should examine the overall status of defense industries, then establish practical policies with a proper support plan in required areas to upgrade the quality management level of manufacturers. Thus, DTaQ developed the model for 2 years from 2014, which specialized in quality management level analysis for defense industries. And a survey has been undertaken with that model by DTaQ and Korea Research Center in 2016. The surveyed companies randomly sampled among those which have more than 30 employees and delivery history over past 3 years, and finally 106 defense industries were selected. This paper present survey method and indexes for survey of defense industry quality management level. The survey was conducted in the order of planning, data collection and data processing, and the validity and reliability of the data were verified to increase objectivity of survey results. The survey contents mainly consist of system quality and management quality. System quality includes Product Development Management, Production Operation Management, supply chain quality management, Safety & Environment Management and Reliability Management, on the other hand, management quality includes Strategic Leadership, Human Resource Management, Customer Market Management and Information & Knowledge Management. Thus this proposes the current overall quality management status of the 106 defense industries and shows level differences by company sizes and manufacturing sectors based on the result of survey. Specifically, this paper enables to track the areas which need prompt government support with the policy directions to make quality management level higher. Therefore, it is expected that this can be used as reference data in establishing quality policies for military supplies in the future.

• Journal of the Korea Institute of Military Science and Technology
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• v.24 no.3
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• pp.264-271
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• 2021

Raman spectroscopy is an equipment that is widely used for classifying chemicals in chemical defense operations. However, the classification performance of Raman spectrum may deteriorate due to dark current noise, background noise, spectral shift by vibration of equipment, spectral shift by pressure change, etc. In this paper, we compare the classification accuracy of various machine learning algorithms including k-nearest neighbor, decision tree, linear discriminant analysis, linear support vector machine, nonlinear support vector machine, and convolutional neural network under noisy and spectral shifted conditions. Experimental results show that convolutional neural network maintains a high classification accuracy of over 95 % despite noise and spectral shift. This implies that convolutional neural network can be an ideal classification algorithm in a real combat situation where there is a lot of noise and spectral shift.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.34 no.3
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• pp.72-81
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• 2022

Positions of five drifting buoys deployed on August 2020 near southwestern area of Jeju Island and numerically predicted velocities were used to develop five Artificial Intelligence-based models (AI models) for the prediction of particle tracks. Five AI models consisted of three machine learning models (Extra Trees, LightGBM, and Support Vector Machine) and two deep learning models (DNN and RBFN). To evaluate the prediction accuracy for six models, the predicted positions from five AI models and one numerical model were compared with the observed positions from five drifting buoys. Three skills (MAE, RMSE, and NCLS) for the five buoys and their averaged values were calculated. DNN model showed the best prediction accuracy in MAE, RMSE, and NCLS.

• Journal of Society of Preventive Korean Medicine
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• v.20 no.3
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• pp.9-20
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• 2016

Background and objectives : Student support programs in Korean Medicine (KM) college have been not much activated as compared to other colleges. So, this research is aim to offer a baseline data to plan and run any kind of student support programs by understanding Korean Medicine students' preference and satisfaction. Methods : The survey was taken for 4 weeks from 2nd may 2016 to 27th may 2016, asking 162 out of a total of 255 students from $1^{st}$ grade to $6^{th}$ grade (pre-med to med). 3 Korean medicine doctors and 8 general students in Korean medicine college made the questionnaire by reviewing and modifying used questionnaire for student support programs. It consists of 13 questions (3 questions of demographic characteristics, 10 questions of overall awareness about student support programs). Results : 'Advanced clinical training course' was the most preferred with 23.4% among 13 different student support programs when multiple voting was allowed. 'Chinese Medicine college tour' got 21.6%, and 'Major training in Chinese Medicine college (for 17 days)' followed next with 19.4%. Expected satisfaction score to student support programs was 7.30 on average out of 10. Conclusions : Expected satisfaction to student support program was likely to be high. This research can be utilized as a significant assessment and analysis when developing new student support program for Korean Medicine college students.

• Information Systems Review
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• v.15 no.1
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• pp.91-104
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• 2013

As coming smart computing era, the government and leading telecommunication companies have actively supported the development of mobile applications. However, since it is processed apart from the characteristics of small businesses, policy problems and support ways have continuously been pointed out. In this study, we selected priority of support project for the activation of the mobile application development, then proposed support ways for the success of small development business. Firstly, we researched the mobile business literatures, support projects and policy trends of the Korean government, academia and private sector. Next, we developed the activation model for small development business by synthesizing of support projects, literatures and expert group interviews. Based on this model, we selected priority of support projects according to AHP (Analytic Hierarchy Process) analysis results. In conclusion, we categorize the five support ways for the activation of mobile application development. We are expecting that these support ways will be useful to the development of effective policies and selection of detail tasks for the support of small business or developers.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.1-15
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• 2024

We have made significant efforts to deeply investigate and analyze the success factors of small business owners, who play a crucial role in modern society, to gain a clear understanding of the factors that affect their business performance. We set the management capabilities of small business owners, the utilization of government support services, and policy support funds as the main variables. Our research has discovered that the management capabilities of small business owners and government support services positively influence their business performance. This means that small business owners can enhance their business performance by strengthening their capabilities and efficiently utilizing government support services. The utilization of policy support funds showed a moderating effect only on the impact of government support services on financial performance, but not on other business performances. This suggests that while the utilization of policy support funds is necessary, it is not sufficient by itself and needs to work in combination with other variables to see effectiveness. Our research proposes a new direction for the success of small business owners. Through this research, small business owners and related policy decision-makers can gain deep insights into the factors that influence the business performance of small business owners and how to effectively manage and utilize these factors. This research has made a significant contribution to academic research on business management and small business owners. Through a deep understanding of the success factors of small business owners, we have proposed new research directions and strategies that can help improve their business performance. These efforts will take us a step further in enhancing the social and economic value of small business owners.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.125-131
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• 2023

This study is a descriptive research study to identify the social support, depression, self-control, and employment stress levels of job seekers and to identify their correlation and influencing factors. The subjects of the study scored 4.13 points for social support, 0.79 points for depression, 3.10 points for self-control and 2.15 points for employment stress. The results of analyzing employment stress according to the general characteristics of the subjects showed that there was no statistically significant difference in gender, and there were significant differences in age, grade, major, and grades. Employment stress of the subjects is employment stress-depression (r=.625, p=).001), employment stress - self-control (r=.251, p=.001) and employment stress - social support (r=-, 519, p=).001) showed a negative correlation. Depression is depression-social control (r=.300, p=).001) shows a static correlation and depression-social support (r=-.503, p=).001) shows a negative correlation. Social support was not correlated with social support-self-control (r=-.059, p=414). Social support and depression were the factors affecting employment stress. We would like to provide basic data on programs and education to reduce the employment stress of college students.

• Journal of The Korean Association For Science Education
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• v.43 no.4
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• pp.351-368
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• 2023

The scientist-led Research and Education (R&E) program aims to strengthen gifted science students' research capabilities under the guidance of scientists. Students' actual research experiences in scientist-led R&E activities range from understanding how scientists conduct research to actively participating in research. To develop R&E that promotes student agency, i.e., student participation, this study aimed to identify the pedagogical characteristics that supported gifted science students' agentic participation in the scientist-led R&E program. We conducted interviews with learners and scientists in three teams undertaking R&E activities every three months. The interview covered their perceptions of R&E activities, student participation, and scientists' support for the activities. The recordings and transcripts of the interviews were used as primary data sources for the analysis. The trajectory of each team's activities, as well as the learners' and scientists' dynamic positioning were identified. Based on this analysis, we inductively identified the pedagogical characteristics that emerged from classes in which the scientists supported the students' learning and engagement in research. Regarding agency, three types of student participation were identified: 1) the sustained exercise of agency, 2) the initial exercise and subsequent discouragement of agency, and 3) the continuous non-exercise of agency. Two pedagogical characteristics that supported the learners' agentic participation were identified: 1) opportunities for students to take part in research management and 2) scientist-student interactions encouraging learners to present expert-level ideas. This study contributes to developing pedagogies that foster gifted science students' agentic participation in scientist-led R&E activities.

• Safety and Health at Work
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• v.14 no.2
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• pp.141-152
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• 2023

Objective: We performed a meta-analysis of epidemiological results for the association between occupational exposure as a firefighter and cancer as part of the broader evidence synthesis work of the IARC Monographs program. Methods: A systematic literature search was conducted to identify cohort studies of firefighters followed for cancer incidence and mortality. Studies were evaluated for the influence of key biases on results. Random-effects meta-analysis models were used to estimate the association between ever-employment and duration of employment as a firefighter and risk of 12 selected cancers. The impact of bias was explored in sensitivity analyses. Results: Among the 16 included cancer incidence studies, the estimated meta-rate ratio, 95% confidence interval (CI), and heterogeneity statistic (I²) for ever-employment as a career firefighter compared mostly to general populations were 1.58 (1.14-2.20, 8%) for mesothelioma, 1.16 (1.08-1.26, 0%) for bladder cancer, 1.21 (1.12-1.32, 81%) for prostate cancer, 1.37 (1.03-1.82, 56%) for testicular cancer, 1.19 (1.07-1.32, 37%) for colon cancer, 1.36 (1.15-1.62, 83%) for melanoma, 1.12 (1.01-1.25, 0%) for non-Hodgkin lymphoma, 1.28 (1.02-1.61, 40%) for thyroid cancer, and 1.09 (0.92-1.29, 55%) for kidney cancer. Ever-employment as a firefighter was not positively associated with lung, nervous system, or stomach cancer. Results for mesothelioma and bladder cancer exhibited low heterogeneity and were largely robust across sensitivity analyses. Conclusions: There is epidemiological evidence to support a causal relationship between occupational exposure as a firefighter and certain cancers. Challenges persist in the body of evidence related to the quality of exposure assessment, confounding, and medical surveillance bias.

• Journal of The Korean Association For Science Education
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• v.41 no.4
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• pp.339-358
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• 2021

This study explores the agency of a student leader, expressed through efforts to distribute power and encourage participation in elementary scientific modeling classes. The study also analyzes the context in which the leader's agency was expressed and the context in which the development of a collective agency was constrained. The participants were 22 fifth-grade students. The leader's agency was analyzed by examining his words and actions. As a result, at the outset of the study, the leader had the most power, performing all the activities as the sole authority in a non-cooperative participation pattern. However, with reflection and help from the researcher, the leader recognized the problem and facilitated the participation of other students. He developed an identity as a teacher and demonstrated the agency. The leader's agentic behaviors can be categorized into three aspects. First, regarding the cognitive aspect, the leader helped other students participate in modeling by sharing his knowledge. Second, regarding the normative aspect, he made rules to give all students an equal voice. Third, regarding the emotional aspect, the leader acknowledged the contribution of the students, increasing their confidence. The leader's agency temporarily helped the group to overcome the student hierarchy, facilitating a cooperative participation pattern. However, the development of a collective agency was constrained. The power of the leader was partially redistributed, and the other students did not position themselves as equal to the leader. To support the leader's agency to develop into a collective agency, it is necessary to redistribute the power of the leader more equally and to change the recognition of students.