• Korean Journal of Medical Ethics
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• v.21 no.4
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• pp.330-343
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• 2018

This article explores some of the ethical issues associated with the fourth industrial revolution and suggests new directions for bioethics education in Korean universities. Some countries have recently developed guidelines and regulations based on the legal and ethical considerations of the benefits and social risks of new technologies associated with the fourth industrial revolution. Foreign universities have also created courses (both classroom and online) that deal with these issues and help to ensure that these new technologies are developed in an ethically appropriate fashion. In South Korea too there have been attempts to enhance bioethics education to meet the changing demands of society. However, bioethics education in Korea remains focused on traditional bioethical topics and largely neglects the ethical issues related to emerging technologies. Furthermore, Korean universities offer no online courses in bioethics and the classroom courses that do exist are generally treated as electives. In order to improve bioethics education in Korean universities, we suggest that (a) new course should be developed for interprofessional education; (b) courses in bioethics should be treated as required subjects gradually; (c) online courses should be prepared, and (d) universities should continually revise course contents in response to the development of new technologies.

• (The)Korea Educational Review
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• v.24 no.2
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• pp.51-79
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• 2018

The purpose of this study is to critically reflect on whether the higher education(HE) restructuring & funding policy proposed by the Moon administration can properly tackle the structural problems confronting Korean HE system. The three major structural problems having entrenched during the rapid expansion of Korean HE system since 1945 can be identified as (1) a 'high cost - low efficiency system' based heavily on 4-year private universities, (2) lack of clear distinction of the roles and connection among different types of higher education institutions (HEIs), and (3) provider-oriented education system and culture seemingly still being widespread at Korean HEIs. This study analyzed the validity of Moon Administration's HE restructuring and funding policy from both a macro- and micro-perspective. From a macro-perspective, this study raised concerns regarding the projects to nurture a national university and a government-dependent private university which will require huge public money. In terms of both the feasibility to secure enough funds and the validity of the proposed policy measures in the existence of unclear roles between public and private HEIs in Korea, this study criticized these policies and proposed, as an alternative policy measure, a low-cost and flexibly operated HEIs such as a government-dependent polytechnic, and a measure to increase connection between different types of HEIs. From a micro perspective, this study suggested, based on 'the expanded principal-agent theory (Waterman & Meier, 1998)', that it would be considered to introduce a more flexible approach in designing the level of government intervention depending upon the maturity of quality assurance procedure at individual universities and the level of goal conflicts between government and individual university.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.95-104
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• 2021

This study was conducted for the purpose of convergence reconstruction of the transition education model for students with disabilities in Korea. Ultimately, this study was also conducted with the aim of enhancing the perspective of the development of a lifelong education support system for the disabled in connection with schools and communities. The research method consisted of a procedure with a meeting of experts based on the procedure of analyzing the previous research literature that tried to materialize the transition education model for students with disabilities from the viewpoint of connection between school age and adulthood. The contents of this study were reflected in the dimension of ensuring consistent connectivity validity based on the viewpoint of school-centered, community-centered, education, and welfare between special education and lifelong education for the disabled in order to reconstruct the conversion transition education model constructed in the current special education field. Accordingly, the transition education model for students with disabilities built in the field of special education centered on school age minimizes the tendency of a fragmented approach between school age and adulthood, and presents a standard basis and structure that can be linked to the entire adulthood. The transition education model was reconstructed convergence in terms of content.

• Tunnel and Underground Space
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• v.32 no.2
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• pp.131-143
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• 2022

The lunar exploration autonomous vehicle operates based on the lunar topography information obtained from real-time image characterization. For highly accurate topography characterization, a large number of training images with various background conditions are required. Since the real lunar topography images are difficult to obtain, it should be helpful to be able to generate mimic lunar image data artificially on the basis of the planetary analogs site images and real lunar images available. In this study, we aim to artificially create lunar topography images by using the location information-based style transfer algorithm known as Wavelet Correct Transform (WCT2). We conducted comparative experiments using lunar analog site images and real lunar topography images taken during China's and America's lunar-exploring projects (i.e., Chang'e and Apollo) to assess the efficacy of our suggested approach. The results show that the proposed techniques can create realistic images, which preserve the topography information of the analog site image while still showing the same condition as an image taken on lunar surface. The proposed algorithm also outperforms a conventional algorithm, Deep Photo Style Transfer (DPST) in terms of temporal and visual aspects. For future work, we intend to use the generated styled image data in combination with real image data for training lunar topography objects to be applied for topographic detection and segmentation. It is expected that this approach can significantly improve the performance of detection and segmentation models on real lunar topography images.

• Journal of the Korea Society of Computer and Information
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• v.27 no.7
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• pp.49-55
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• 2022

In this paper, we propose an obstacle detection method that can operate robustly even in external environmental factors such as weather. In particular, we propose an obstacle detection system that can accurately inform dangerous situations in AR through DB-based feature matching and RANSAC-based multiplane method. Since the approach to detecting obstacles based on images obtained by RGB cameras relies on images, the feature detection according to lighting is inaccurate, and it becomes difficult to detect obstacles because they are affected by lighting, natural light, or weather. In addition, it causes a large error in detecting obstacles on a number of planes generated due to complex terrain. To alleviate this problem, this paper efficiently and accurately detects obstacles regardless of lighting through DB-based feature matching. In addition, a criterion for classifying feature points is newly calculated by normalizing multiple planes to a single plane through RANSAC. As a result, the proposed method can efficiently detect obstacles regardless of lighting, natural light, and weather, and it is expected that it can be used to secure user safety because it can reliably detect surfaces in high and low or other terrains. In the proposed method, most of the experimental results on mobile devices reliably recognized indoor/outdoor obstacles.

• Journal of Korea Entertainment Industry Association
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• v.14 no.3
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• pp.139-148
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• 2020

Through this study, the policy proposals were intended to be presented to the head of the farming policy. Therefore, the meaning of this study is as follows. First, rather than judging the returning farmer on his own, he should provide sufficient information to consult with his family and increase access to agriculture. Second, by opening up SNS and YouTube to returning farmers, they should instill confidence in rural areas by providing them with information about the joy of rural life and the success of farming so that they can easily access information about rural life through villages, youth associations and women's associations. Efforts should be made to create vibrant rural areas by providing infrastructure around farmland, providing various amenities for settling young people and forming a family farmers' association. Third, the head of the return farming policy should come up with customized support policies for the return farming (e.g., one-year farm support, free farm support, institutional sales guarantee, tourism in advanced countries, modernization of farmland facilities). Public relations strategies should also be strengthened so that such policies can lead to agriculture. Finally, the government should provide subsidized economic activities (e.g. Airbnb, donation of expertise and work-related personnel before returning home, rural experience, etc.).

• Journal of Korea Entertainment Industry Association
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• v.14 no.8
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• pp.467-476
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• 2020

The purpose of this study is as a base study for improving the quality of online classes through multilateral analysis that examines the learning outcoms of educational quality and learning emotions on non-face-to-face online classes at Technical Colleges To this study, from March 1, 2020 to August 31, 2020, a survey was conducted on 1,000 students of H Technical Colleges located in the metropolitan area. The collected data were statistically processed using the SPSS Statistics 18.0 program, t-validation were performed to reveal awareness of online class also correlation analysis and multiple regression analysis were performed to reveal the relation and influence of factors related to quality of instruction, learning emotions, learning outcomes. First, there was a statistically significant difference in perception of online classes by gender and grade. Second, there was a positive correlation between the educational quality, learning emotions, and learning outcomes for online classes. Third, among the learning outcomes, the factors that influence the achievement were the educational content and positive emotions, and the factors that influence the satisfaction among the learning outcomes were the educational content and the learning environment.

• 지역과문화
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• v.8 no.2
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• pp.21-48
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• 2021

This paper discusses the possibility of developing literary villages and book towns by examining the feasibility of place marketing for culture and art spaces from multiple perspectives. The aim is to point out the practicability of literary villages, moving away from building halls of fame for individual writers and artists and toward creating whole villages functioning as the centers of their local cultural scene, as well as suggest ways for contributing to regional revitalization and development of culture and art programs. To this end, "Kim Yujeong Literature Village," "Lee Hyo-seok Culture and Art Village," and "Hwang Soon-Won Sonagi Village" were selected; based on these, case studies were conducted and their actual operational status was explored. As a result, it was discovered that literary villages would function well as the centers of their local community if meaningful and interesting content is continuously developed with quality enhancement. This suggests a positive impact of place marketing, and to achieve this, it is necessary to open a new paradigm of local culture by differentiating from other cultural industries and securing a position as a new industrial sector. To this end, the paper suggests approaches such as small local literary groups with direct or indirect links to the literary village, or application of space and related works in the literary village with local education.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.347-364
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• 2022

Fraudulent companies or sellers strategically manipulate reviews to influence customers' purchase decisions; therefore, the reliability of reviews has become crucial for customer decision-making. Since customers increasingly rely on online reviews to search for more detailed information about products or services before purchasing, many researchers focus on detecting manipulated reviews. However, the main problem in detecting manipulated reviews is the difficulties with obtaining data with manipulated reviews to utilize machine learning techniques with sufficient data. Also, the number of manipulated reviews is insufficient compared with the number of non-manipulated reviews, so the class imbalance problem occurs. The class with fewer examples is under-represented and can hamper a model's accuracy, so machine learning methods suffer from the class imbalance problem and solving the class imbalance problem is important to build an accurate model for detecting manipulated reviews. Thus, we propose an OpenAI-based reviews generation model to solve the manipulated reviews imbalance problem, thereby enhancing the accuracy of manipulated reviews detection. In this research, we applied the novel autoregressive language model - GPT-3 to generate reviews based on manipulated reviews. Moreover, we found that applying GPT-3 model for oversampling manipulated reviews can recover a satisfactory portion of performance losses and shows better performance in classification (logit, decision tree, neural networks) than traditional oversampling models such as random oversampling and SMOTE.

• Journal of Internet Computing and Services
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• v.24 no.1
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• pp.61-69
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• 2023

Recently, as the fishery resources are depleted, expectations for productivity improvement by 'rearing fishery' in land farms are greatly rising. In the case of land farms, unlike ocean environments, it is easy to control and manage environmental and breeding factors, and has the advantage of being able to adjust production according to the production plan. On the other hand, unlike in the natural environment, there is a disadvantage in that operation costs may significantly increase due to the artificial management for fish growth. Therefore, profit maximization can be pursued by efficiently operating the farm in accordance with the planned target shipment. In order to operate such an efficient farm and nurture fish, an accurate growth prediction model according to the target fish species is absolutely required. Most of the growth prediction models are mainly numerical results based on statistical analysis using farm data. In this paper, we present a growth prediction model from a stochastic point of view to overcome the difficulties in securing data and the difficulty in providing quantitative expected values for inaccuracies that existing growth prediction models from a statistical point of view may have. For a stochastic approach, modeling is performed by introducing a Gaussian process regression method based on water temperature, which is the most important factor in positive growth. From the corresponding results, it is expected that it will be able to provide reference values for more efficient farm operation by simultaneously providing the average value of the predicted growth value at a specific point in time and the confidence interval for that value.