• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.165-172
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• 2020

In this paper we propose an uses on-device-based edge computing technology and big data analysis methods through the use of on-device-based edge computing technology and analysis of big data, which are distributed computing paradigms that introduce computations and storage devices where necessary to solve problems such as transmission delays that occur when data is transmitted to central centers and processed in current general smart factories. However, even if edge computing-based technology is applied in practice, the increase in devices on the network edge will result in large amounts of data being transferred to the data center, resulting in the network band reaching its limits, which, despite the improvement of network technology, does not guarantee acceptable transfer speeds and response times, which are critical requirements for many applications. It provides the basis for developing into an AI-based facility prediction conservation analysis tool that can apply deep learning suitable for big data in the future by supporting intelligent facility management that can support productivity growth through research that can be applied to the field of facility preservation and smart factory industry with integrated hardware technology that can accommodate these requirements and factory management and control technology.

• The Journal of Bigdata
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• v.6 no.1
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• pp.51-62
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• 2021

In the field of medical artificial intelligence, there have been a lot of researches on disease prediction and classification algorithms that can help doctors judge, but relatively less interested in artificial intelligence that can help medical consumers acquire and judge information. The fact that more than 150,000 questions have been asked about which hospital to go over the past year in NAVER portal will be a testament to the need to provide medical information suitable for medical consumers. Therefore, in this study, we wanted to establish a classification model that classifies 8 medical subjects for symptom text directly described by patients which was collected from NAVER portal to help consumers choose appropriate medical subjects for their symptoms. In order to ensure the validity of the data involving patients' subject matter, we conducted similarity measurements between objective symptom text (typical symptoms by medical subjects organized by the Seoul Emergency Medical Information Center) and subjective symptoms (NAVER data). Similarity measurements demonstrated that if the two texts were symptoms of the same medical subject, they had relatively higher similarity than symptomatic texts from different medical subjects. Following the above procedure, the classification model was constructed using a ridge regression model for subjective symptom text that obtained validity, resulting in an accuracy of 0.73.

• Journal of Korea Water Resources Association
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• v.54 no.12
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• pp.1233-1242
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• 2021

In this study, a model was developed to determine whether flooding occurred using image data, which is unstructured data. CNN-based VGG16 and VGG19 were used to develop the flood classification model. In order to develop a model, images of flooded and non-flooded images were collected using web crawling method. Since the data collected using the web crawling method contains noise data, data irrelevant to this study was primarily deleted, and secondly, the image size was changed to 224×224 for model application. In addition, image augmentation was performed by changing the angle of the image for diversity of image. Finally, learning was performed using 2,500 images of flooding and 2,500 images of non-flooding. As a result of model evaluation, the average classification performance of the model was found to be 97%. In the future, if the model developed through the results of this study is mounted on the CCTV control center system, it is judged that the respons against flood damage can be done quickly.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.3
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• pp.407-416
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• 2019

This study is about a Customized Nursery School where working women can support work - life balance and a reduction in retirement or turnover. The research method is to identify the current status of Customized Nursery services and to recognize the recognition and need of the operation of Customized Nursery School. The importance of securing skilled nurses and preventing them from changing their jobs for the health and safety of people cannot be emphasized enough. A Customized Nursery School must be opened to reduce the retirement or change of jobs of working women nurses and to provide care for continuous work in three shifts from 365days to support the balance between the working mother and family. It is considered that nurses will put their children in relief when using retired nurses who have the ability to work 24hour rotation in a Customized Nursery School and when a Customized Nursery School be ran suited for the condition and demand of working women nurses, it is expected to reduce retirement and the change of jobs, also to give positive effect on marrige and family planning which would make improvement in low birthrate. To activate the Customized Nursery School, Creating a secure learning environment and qualification of educators great effort should be put. A program curriculum based on 'basic life and habits' should be the center of education. Continuous management and effort will need to be placed in continuous development of educators.

• Journal of Korean Library and Information Science Society
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• v.50 no.1
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• pp.85-103
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• 2019

This study aims to analyze the direction of the reading education programs based on the 2015 revised curriculum and to seek the plans for the school library and the teacher librarian to be able to contribute them. For this purpose, the types of school-based reading education programs in the report of 100 excellent school curriculum in 2016, which was first applied by the amended curriculum were analyzed through multiple intelligences. Upon the analysis results, the reading education programs in the schools showed to be operated with interpersonal Intelligence. Community-aligned reading was the most frequently operated in the primary schools while student reading club activities were the most common in the middle and high schools. In case of reading education program related to linguistic intelligence, the most commonly operated ways were reading books, writing with literatures, and writing book report, in primary, middle, and high schools, respectively. In case of reading education program related to spatial intelligence, media production type showed the most commonly operated in all types of schools. However, there was no reading program related to naturalist intelligence. Based on these analysis results, the plans to contribute the activation of reading education programs by school libraries under the 2015 amended curriculum were suggested in the aspects of development of connection programs with teachers, students and parents as the center of education community, installation and operation of maker spaces and enhancement of program management and inquiry-based learning competency of teacher librarians.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.139-148
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• 2019

Fostering science-gifted individuals are very important for the future of the nation, and it is especially important to cultivate information-gifted individuals in the age of the fourth industry. There is no standardized curriculum for each gifted education center of the University. Therefore, in this study, we analyzed how effective the curriculum developed on the basis of computing thinking is to affect the characteristics of the information-gifted individuals. The curriculum developed on the components of computing thinking was applied to the information-gifted students of K University. In order to verify the effectiveness of the curriculum, we developed a creative personality test and an intrinsic motivation test, and conducted tests before and after the training. We compared pre-post test results by t-test with R program. The creative personality test consisted of 36 items with 6 factors: risk-taking, self - acceptance, curiosity, humor, dominance, and autonomy. The intrinsic motivation test consisted of 20 items with 5 items: curiosity and interest oriented tendency, challenging learning task preference orientation, independent judgment dependency propensity, independent mastery propensity, and internal criterion propensity. The effect of the curriculum on the creative personality of the experimental group was significant (0.009, 0.05). The significance level of the intrinsic motivation was 0.056 and was not significant at the 0.05 level of significance.

• The Korean Journal of Applied Statistics
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• v.32 no.2
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• pp.173-185
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• 2019

Causal questions are prevalent in scientific research, for example, how effective a treatment was for preventing an infectious disease, how much a policy increased utility, or which advertisement would give the highest click rate for a given customer. Causal inference theory in statistics interprets those questions as inferring the effect of a given intervention (treatment or policy) in the data generating process. Causal inference has been used in medicine, public health, and economics; in addition, it has received recent attention as a tool for data-driven decision making processes. Many recent datasets are observational, rather than experimental, which makes the causal inference theory more complex. This review introduces key concepts and recent trends of statistical causal inference in observational studies. We first introduce the Neyman-Rubin's potential outcome framework to formularize from causal questions to average treatment effects as well as discuss popular methods to estimate treatment effects such as propensity score approaches and regression approaches. For recent trends, we briefly discuss (1) conditional (heterogeneous) treatment effects and machine learning-based approaches, (2) curse of dimensionality on the estimation of treatment effect and its remedies, and (3) Pearl's structural causal model to deal with more complex causal relationships and its connection to the Neyman-Rubin's potential outcome model.

• Industry Promotion Research
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• v.4 no.1
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• pp.45-55
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• 2019

The purpose of this study is to examine the effects of common competency, managerial competency, and job competency, which are perceived management consultants' competencies, on organizational performance and management characteristics of these managers. The hypothesis 2 shows that the influence of the management consultant capacity and the management performance on the Hypothesis 1 and the moderating effect of the hypothesis 2 management characteristics are as follows. First, common competence, management competence, and job competence, which are H1 management consultant capacities, have been shown to have a positive (+) influence on financial performance and non - financial performance. Second, the characteristics of manager in H2 were partially shown by the common competence between management consultant capacity and management performance. Therefore, in order to establish a corporate sustainability management system and implement it strategically, a consulting firm should select a consultant with excellent management consultant capability and execute management consulting. In addition, management consultants were required to have diverse learning, experience and management plans to improve their qualitative performance. Despite the fact that managerial characteristics represent partial regulatory roles, they actively play a central role in the survival and development of corporations, requiring active publicity so that the organizational characteristics of managers can be understood.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.1-11
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• 2019

The purpose of this study is to investigate the effects of stress, social support, and resilience on the university life as predictors of college life adjustment. For this purpose, the questionnaires were administered to 145 college students in Busan, and correlation analysis, multiple regression analysis, and mediation analysis were conducted using SPSS 18.0. The main results are as follows. First, the significant factors influencing college life adjustment were stress (B = -.351, p <.01), social support(B = -.210, p <.05) resilience (B = .355, p < .01), 30.6% explanatory power, and resilience was the most influential factor. Among the sub-factors of stress, interpersonal stress and academic stress has a negative effect. In addition, friendship support had a statistically significant effect on social support, and resilience subscale was life satisfaction and cause analysis ability. In addition, stress was found to be partly mediated in the relationship between social support and college life adjustment. Based on this study, the strategies for lowering the stress, improving the resilience of the university students in order to improve the college life adaptation were provided.

• Journal of the Korea Convergence Society
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• v.12 no.3
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• pp.297-304
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• 2021

This study aims not only to access the visual thought-oriented approach that has been implemented in established art therapy and education but also to integrate language education and therapeutic approach to support the development of school-age children. Thus, text mining technique was applied to search for areas where different areas of language and art can be integrated. This research was conducted in accordance with the procedure of basic research, preliminary DB construction, text screening, DB pre-processing and confirmation, stop-words removing, text mining analysis and the deduction about the convergent areas. These results demonstrated that this study draws convergence areas related to regional, communication, and learning functions, areas related to problem solving and sensory organs, areas related to art and intelligence, areas related to information and communication, areas related to home and disability, topics, conceptualization, peer-related areas, integration, reorganization, attitudes. In conclusion, this study is meaningful in that it established a framework for designing an activity-centered convergence program of art and language in the future and attempted a holistic approach to support child development.