Quality control is critical at manufacturing sites and is key to predicting the risk of quality defect before manufacturing. However, the reliability of manual quality control methods is affected by human and physical limitations because manufacturing processes vary across industries. These limitations become particularly obvious in domain areas with numerous manufacturing processes, such as the manufacture of major nuclear equipment. This study proposed a novel method for predicting the risk of quality defects by using natural language processing and machine learning. In this study, production data collected over 6 years at a factory that manufactures main equipment that is installed in nuclear power plants were used. In the preprocessing stage of text data, a mapping method was applied to the word dictionary so that domain knowledge could be appropriately reflected, and a hybrid algorithm, which combined n-gram, Term Frequency-Inverse Document Frequency, and Singular Value Decomposition, was constructed for sentence vectorization. Next, in the experiment to classify the risky processes resulting in poor quality, k-fold cross-validation was applied to categorize cases from Unigram to cumulative Trigram. Furthermore, for achieving objective experimental results, Naive Bayes and Support Vector Machine were used as classification algorithms and the maximum accuracy and F1-score of 0.7685 and 0.8641, respectively, were achieved. Thus, the proposed method is effective. The performance of the proposed method were compared and with votes of field engineers, and the results revealed that the proposed method outperformed field engineers. Thus, the method can be implemented for quality control at manufacturing sites.
Due to the coronavirus pandemic and diplomatic disputes, governments are actively developing a policy to revitalize·reshore manufacturing and to diversify international cooperations. In order to develop such a policy, it is very important to compare and analyze domestic·international geospatial information. Over the decade, the US·EC governments have conducted a series of national researches to build data-based tools that can monitor·analyze regional geospatial information driven by government R&D investments. In the case of the EC system, it can compare geospatial information in domestic and international(including Korea) regions. Compared to US·EC cases, Korean examples of national researches with available data analplatform need future improvements. Current study is investigating an automated analysis methodologies using "National Institute of Science and Technology Information (NTIS)" DB, which was national security data until recently. Research on data-mining regional geospatial information can contribute to support policy fields that need to discover new issues in response to unexpected social problems such as recently faced corona and trade disputes.
In this study, a practical model for health information management education using the EMR education system at universities for nurturing health care information managers was studied. Currently, there is no practical training course for health care information management in the standards for evaluation and certification of health care information management education introduced to strengthen the job competency of health care information managers. Accordingly, the program was constructed so that the practice program suggested as an educational environment in the Health and Medical Information Management Education Evaluation and Certification Manual can be practiced in the EMR education system. In addition, a practical model that can be performed according to the on-site practice guidelines for health and medical information management for each program was studied. Using the health care information management education EMR system, master data management, patient registration, doctor prescription, medical cost calculation, health insurance claim management, form management, discharge registration, cancer registration, unrecorded management, health care data management, health care statistics, A practice model was studied so that practice on information protection/security management can be performed. It will be possible to play a role as a health care information management expert by raising the quality level of health care information management education through systematic and standardized health care information management practice courses at universities. Accordingly, it is necessary to cultivate health care information management experts who develop and manage medical services based on medical data analysis through practical training of health care information managers.
Ecocentric worldview is considered as worldview that overcomes present environment problems and increases animal right. This study explores the formation of an ecocentric worldview for 4th-6th graders based on Peter Singer's research that divides the development of morality into family-centered, species-centered, and ecocentric worldview. The subjects of this study were 77 4th graders, 84 5th graders, and 91 6th graders in Daegu Metro- politan City. The results of surveying students' worldview based on the questionnaire developed by dividing into 6 questions are as follows. In most of the items in grades 4-6, the rate of formation of a species-centered worldview or a family-centered worldview was higher than that of an ecocentric worldview. However, in the case of 6th grade students was significantly higher than in other grades because they learned lesson on wolf restoration in the 5th grade science class. This may be seen as an effect of education, but since the ecocentric worldview did not appear high in other questions, it is reasonable to assume that 6th graders simply recited what they learned rather than forming a true ecocentric worldview. Therefore, there is a need for education that can help students to think, judge, and act on the basis of the ecocentric worldview consistently in any situation, rather than just memorizing the knowledge of the ecocentric worldview learned.
The purpose of this study is to investigate the effect of software education based on physical computing on the CT ability of elementary school students. To this end, previous studies related to physical computing software education and software education in the 2015 revised curriculum were analyzed. In addition, COBL was selected among many physical computing tools on the market in consideration of the level and characteristics of learners in the school to conduct the study, and 'Professor Lee Jae-ho's AI Maker Coding with COBL' was used as the textbook. This study was conducted for 10 sessions on 135 students in 6 classes in 6th grade of H Elementary School located in Pyeongtaek, Gyeong gi-do. The results of this study are as follows. First, it was confirmed that physical computing software education linked to real life was effective in improving the CT ability of elementary school students. Second, the change in competency of CT ability by sector improved evenly from 8 to 30 points in the pre-score and post-score of computing thinking ability. Third, in this study, it was confirmed that 87% of students were very positive as a result of a survey of satisfaction with classes after real-life physical computing software education. We hope that follow-up studies will help select various regions across cities and rural areas, and prove that real-life physical computing software education for various learner members, including large and small schools, will help elementary school students improve their CT ability.
This study is a study that collects and analyzes data through An autoethnographyon as one of method of qualitative research, through which researcher have experienced firsthand in the process of developmenting and counseling there a new concept professional mental health mobile service platform as a mental health social welfare expert. The results of this study are as follows.First, there are people in Korea who are directly exposed to mental health issues and need to receive professional medical services, but there are also quite a few members of the public who have a desire for general mental health services, although the level of therapeutic intervention is not required. Second, considering the characteristics of modern society and especially in the pandemic situation of infectious diseases such as COVID-19, more and more people are preferring various mental health service platforms using mobile devices. Third, all generations complain of mental health issues such as family problems, stress, interpersonal relationships, and occupations, and other mental health problems such as self-harm and suicide accidents are frequently mentioned in connection with mental disorders such as depression, anxiety disorder, addiction, and post-traumatic stress disorder. Fourth, youngth s were exposed to various mental health-related issues, and above all, they were complaining of serious mental health problems such as self-harm and suicide accidents. Fifth, in delivering professional mental health services, mental health experts with the ability also to provide professional services online through mobile devices are needed as well offline. Finally, based on the results of this study, policy and practical suggestions related to the provision of mental health services in the future, and directions for follow-up studies were suggested.
This study analyzed the papers provided by Asia Pacific Journal of Small Business (APJSB) for 40 years. The purpose of this study is looking at the research trends about small and medium business. We tried to identify some stream and feature without manipulation. Textmining and Frequency analysis are executed on topics of every published paper in APJSB to 2019 from 1979. The result suggest that important keyword and feature of research topics in APJSB. And the result show the period feature as well as the whole of research trend in APJSB for 40 years. Futhermore, we suggest some implications derived from the results by adapting business ecosystem model and business managerial system model.
Many researchers conducted studies on the relationship between entrepreneur's characteristic, capability, strategy and performance of new venture. However, the development of scientific technique and the complexity of the business environment have stimulated entrepreneurial teams rather than individuals. Therefore, the necessity of theoretical and practical study on the effect of the characteristics of an entrepreneurial team on the new venture companies was suggested. Initial research on entrepreneurial team diversity has primarily addressed the impact of demographic diversity on performance. In order to verify the research model of this study, 287 delegates of new venture companies that participated in the projects at the 18 Centers for Creative Economy & Innovation in 17 regions of the country conducted validity and reliability test based on the questionnaire to which they answered. The result shows that only gender diversity among demographic diversity affected non-financial performance. Information diversity influenced career diversity on financial performance and diversity in education on non-financial performance. Also, the higher the previous sharing experience, the better the financial performance. Value diversity has negative effect on both financial and non-financial performance. Based on the results, theoretical and practical implications are derived. Also suggested are methodological limitations and future research directions.
Journal of Korea Entertainment Industry Association
/
v.15
no.7
/
pp.193-204
/
2021
The purpose of this study was to investigate grit, career decision-making self-efficacy, career preparation behavior and job-seeking stress, and to identify the influencing factors on job-seeking stress of nursing students. Data were collected using questionnaires from 208 students who were 4th years in the nursing university in Gwangju, November 2020. The collected data was analyzed by descriptive statistics, pearson's correlation coefficient and stepwise multiple regression using IBM SPSS 21.0 program. The mean scores were as follows: grit, 3.21±0.50; career decision-making self-efficacy; 3.65±0.51, career preparation behavior; 2.57±0.48, job-seeking stress; 2.07±0.64. Job-seeking stress was found to have significant negative correlations with grit(r=-.308, p=.000) and career decision-making self-efficacy(r=-.336, p=.000). Job-seeking stress was found to have significant positive with career preparation behavior(r=.214, p=.002). The most influential factors influencing the job-seeking stress of nursing students were career decision-making self-efficacy(β=-.340, p=.000), career preparation behavior(β=.302, p=.000), grit(β=-.175, p=.010). and these factors explained 22.1% in job-seeking stress(F=20.605, p=.000). In conclusion, in order to control the job-seeking stress of nursing students, it is necessary to apply a program that improve the career decision-making self-efficacy and grit, and to practice career preparation behavior according to the individual level step by step.
Journal of Korea Entertainment Industry Association
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v.14
no.8
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pp.1-9
/
2020
Self-efficacy and entrepreneurial self-efficacy on the positive effects of entrepreneurial intention are well developed in past research but marketing self-efficacy, linked to the competencies of marketing field and is closely related to self-efficacy and entrepreneurial self-efficacy has not received enough attention on the prediction of start-up intention despite marketing and entrepreneurship are crucial when creating a start-up. Moreover, there have been several empirical studies but, most of the previous studies have focused on university students majoring in business and economics. Therefore, there is still little understanding of the effect of marketing self-efficacy on start-up intention. The purpose of this study then was to investigate the effect of marketing self-efficacy on start-up intention for college students majoring in entertainment-related studies. Questionnaires were employed to collect data from three universities in Korea. A total of 120 completed questionnaires were returned. Logistic regression analysis was used to test the hypothesis. The results indicate that marketing self-efficacy was positively and significantly related to start-up intention. The results of this study empirically confirmed that university students majoring in entertainment-related studies with high marketing self-efficacy are more likely to desire to create a start-up. These results suggest theoretical and practical implications.
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