• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.2
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• pp.201-219
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• 2023

ESG (Environment, Social, Governance) is becoming the core of the interest of today's entrepreneurs concerning about the earth crisis. Numerous studies are going on these days about the importance of ESG, but most of them seem confined to the introductory level. This study concentrates on "ESG education" that will teach the learners how to put various ESG ideas into practice, knowing that the earth crisis would not be overcome without actual practice of those ideas. First, elementary and junior·senior high school, professors in university and educational consultants in the field designed educational programs and related content materials under "ESG entrepreneurship education" integrated with ESG and Entrepreneurship education, which have been implemented previously. Participatory learning methods are converged with the program. The researcher analyzed the learning effects in depth after implementing the programs in the education field. Thus, this study first examined the effects of key variables of ESG educational program i.e., ESG entrepreneurship education, student participatory learning, and team-based learning on creative problem-solving and social value recognition with an essential variant of ESG educational programs and identified the relations to creative problem-solving and social value recognition. Besides, this study investigated the moderating effects of school atmosphere, and teachers' enthusiasm, regarding traits of educational programs and social value recognition. Findings indicate that sub variants of the traits of educational programs i.e., ESG entrepreneurship education, student participatory learning, and team-based learning significantly affect creative problem-solving skills and social value recognition and that creative problem-solving impacts social value recognition. In addition, teachers' enthusiasm has moderating effects between traits of educational programs and social value recognition. This study provides content-program learning methods that can be practically applied in education, emphasizing practice in ESG in elementary and junior·senior high school education. Implications suggest that ESG entrepreneurship education and active participatory learning affect social value recognition and that teachers' enthusiasm plays a significant role in education.

• Journal of Korea Game Society
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• v.12 no.6
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• pp.5-14
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• 2012

The purpose of this paper is to demonstrate how three-dimensional gesture recognition technology, in children's traffic safety programs, can be an effective solution for instructing children in the safest ways to interact with traffic. In terms of traffic accidents, walking unaccompanied is the most dangerous traffic related activity for children. By using a three-dimensional serous game training program that implements gesture recognition, more accurate real life scenarios can be implemented in existing children's traffic training programs. The implementation of this technology will increase the possibility of changing the habits and attitudes of children, which in turn will lower the amount of walking related traffic accidents in children.

• Journal of Information Processing Systems
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• v.14 no.1
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• pp.205-217
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• 2018

Deep learning using convolutional neural networks (CNNs) is being studied in various fields of image recognition and these studies show excellent performance. In this paper, we compare the performance of CNN architectures, KCR-AlexNet and KCR-GoogLeNet. The experimental data used in this paper is obtained from PHD08, a large-scale Korean character database. It has 2,187 samples of each Korean character with 2,350 Korean character classes for a total of 5,139,450 data samples. In the training results, KCR-AlexNet showed an accuracy of over 98% for the top-1 test and KCR-GoogLeNet showed an accuracy of over 99% for the top-1 test after the final training iteration. We made an additional Korean character dataset with fonts that were not in PHD08 to compare the classification success rate with commercial optical character recognition (OCR) programs and ensure the objectivity of the experiment. While the commercial OCR programs showed 66.95% to 83.16% classification success rates, KCR-AlexNet and KCR-GoogLeNet showed average classification success rates of 90.12% and 89.14%, respectively, which are higher than the commercial OCR programs' rates. Considering the time factor, KCR-AlexNet was faster than KCR-GoogLeNet when they were trained using PHD08; otherwise, KCR-GoogLeNet had a faster classification speed.

• Journal of East-West Nursing Research
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• v.22 no.2
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• pp.138-147
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• 2016

Purpose: This study aimed to explore the experiences of participation in community leisure programs among older adults. Methods: Data were collected using face-to-face interviews with nine older adults participated in community leisure programs and analyzed using a qualitative content analysis. Results: Seven themes emerged from the data: 1) A deep regret not learned, 2) unboring life, 3) living together, 4) having a happy life, 5) gaining recognition from family members, 6) cherishing their own lives, and 7) living for others. Conclusion: Findings indicate that there is a need for health professionals to understand meanings of participation in community leisure programs before planning community senior programs. More studies are needed to develop community leisure programs for older adults' health promotion in community health centers.

• International Commerce and Information Review
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• v.11 no.1
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• pp.353-378
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• 2009

This paper intends to analyse the export assistance programs for SMEs(Small and Medium-Sized Enterprises) located in Gyeongsangbuk-do Province as well as to suggest export promotion policy for the local government. In order to accomplish these objectives, the present paper makes an extensive survey about export-support programs conducted by Gyeongsangbuk-do Province. The survey was rigorously made to evaluate export-support programs taken by the provincial government of Gyeongsangbuk-do and the regional firms' awareness about them. The paper utilized SPSS for empirical analysis. The frequency analysis was used to know the precision of data and its general features. The Crosstabulation Analysis was also used to evaluate firms' recognition about export-support programs and their practical use, satisfaction and relationships with the characteristics of enterprises. The results show that the local government must effectively systematize export support programs and develop export-support programs customized for the characteristics of enterprises in Gyeongsangbuk-do.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.11 no.1
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• pp.130-145
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• 2007

Background and purpose: The purpose of this study is to search recognition patients in Eight constitution Oriental Medical Clinic. And we compare Eight constitution acupuncture methods with the another acupuncture methods. Methods: The subjects were comprised of 200 volunteers. In 3 Eight constitution Oriental Medical Clinic participants were chosen through questionnaire. Finishing answer participants put in their lacked name questionnaire to gathering box. DecisionTree (AnswerTree 3.0 Ver.) statistical software was used for statistical analysis. Results and Conclusion: As a result of the analysis of cognition to Eight constitution acupuncture methods was influenced to patients health, dietetic therapy is best influenced. Next influenced acupuncture reflex degree, age, job, constitution, cure periods, sex distinction, cure degree, diagnosed participant's Constitution by pulse diagnosis in 8 Constitution Medicine.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.48 no.4
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• pp.201-206
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• 2022

Objectives: Contemporary biometric technologies have been gaining traction in both public and private security sectors. Facial recognition is the most commonly used biometric technology for this purpose. We aimed to evaluate the ability of a publicly available facial recognition application program interface to calculate similarity scores of presurgical and postsurgical photographs of patients who had orthognathic surgery. Materials and Methods: Presurgical and postsurgical photographs of 75 patients who had orthognathic surgery between January 2018 and November 2020 in our department were used. Frontal photographs of patients in relaxed and smiling states were taken. The patients were classified into three groups: Group 2 had one-jaw surgery, Group 3 had two-jaw surgery to correct mandibular prognathism, and Group 4 had two-jaw surgery to correct facial asymmetry. For comparison, photographs of 10 participants were used as controls (Group 1). Two facial recognition application programs (Face X and Azure) were used to assess similarity scores. Results: The similarity scores in the two programs showed significant results. The similarity score of the control group, which did not undergo orthognathic surgery, was the highest. The results for Group 2, Group 3, and Group 4 were higher in the order of Group 2, Group 3, and Group 4. Conclusion: In this study, all orthodontic patients were recognized as the same person using the face recognition program before and after surgery. A significant difference in similarity results was obtained between the groups with both Face X and Azure and in both relaxed and smiling states.

• Korean Journal of Artificial Intelligence
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• v.11 no.3
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• pp.1-5
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• 2023

With recent advancements in artificial intelligence (AI) technology, more products based on AI are being launched and used. However, using AI safely requires an awareness of the potential risks it can pose. These concerns must be evaluated by experts and users must be informed of the results. In response to this need, many countries have implemented certification programs for products based on AI. In this study, we analyze several trends and differences in AI product certification programs across several countries and emphasize the importance of such programs in ensuring the safety and trustworthiness of products that include AI. To this end, we examine four international AI product certification programs and suggest methods for improving and promoting these programs. The certification programs target AI products produced for specific purposes such as autonomous intelligence systems and facial recognition technology, or extend a conventional software quality certification based on the ISO/IEC 25000 standard. The results of our analysis show that companies aim to strategically differentiate their products in the market by ensuring the quality and trustworthiness of AI technologies. Additionally, we propose methods to improve and promote the certification programs based on the results. These findings provide new knowledge and insights that contribute to the development of AI-based product certification programs.

• Journal of Agricultural Extension & Community Development
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• v.29 no.4
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• pp.251-264
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• 2022

This study aimed to identify the factors that influence young entrepreneurs' desire to start a smart farm business. Young entrepreneurs' entrepreneurial self-efficacy, entrepreneurial intention, entrepreneurship, and Entrepreneurial opportunity recognition were modeled structurally, and the mediating effect of entrepreneurship and entrepreneurial opportunity recognition was investigated. Data were conducted from 159 usable questionnaires. The following are the findings of this study. Entrepreneurial self-efficacy did not have a significant effect on entrepreneurial intention, but entrepreneurship and entrepreneurial opportunity recognition were found to have a mediating effect on entrepreneurial intention. Therefore, the preparation of training programs to encourage entrepreneurship or the dissemination of pertinent information to identify opportunities should take precedence over immediate startup.

• Speech Sciences
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• v.12 no.1
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• pp.135-142
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• 2005

An important aspect of video indexing is the ability to segment video into meaningful segments, i.e., content-based video segmentation. Since the audio signal in the sound track is synchronized with image sequences in the video program, a speech signal in the sound track can be used to segment video into meaningful segments. In this paper, we propose a new approach to content-based video segmentation. This approach uses closed caption to construct a recognition network for speech recognition. Accurate time information for video segmentation is then obtained from the speech recognition process. For the video segmentation experiment for TV news programs, we made 56 video summaries successfully from 57 TV news stories. It demonstrates that the proposed scheme is very promising for content-based video segmentation.