• Journal of Korea Entertainment Industry Association
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• v.15 no.2
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• pp.11-20
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• 2021

The purpose of this study is to propose a documentary plan for the 7th Gyeongbuk Intangible Cultural Property, Andong-Notdaribapgi. Most of the records of Andong-Notdaribapgi. are produced centering on play. Thus this study aims to the method of recording it so that it can be accessed and utilized in the long term. This is a study at the beginning stage for documenting the Andong-Notdaribapgi. First of all, at the stage of the basic framework, the concept and characteristics of the recording of the Andong-Notdaribapgi were derived, and the meaning and necessity of recording was raised. In addition, the entire category of records was set through the analysis of the behavior process of Andong-Notdaribapgi, and the occurrence records and the contents of the records were organized focusing on the behavior processes occurring in various forms through the analysis of the recording target. In addition, materials that can be used are organized by focusing on the details and contents, including related records, and records that can be produced in the course of action are organized by type characteristics. Lastly, record analysis was based on performance behavior, and management functions were organized based on producers. The management of the records is to make it easier for users with various purposes to access the Intangible Cultural Property, the Andong-Notdaribapgi, and it is expected that it will provide directions and guidelines that can be applied to the recording plan in fields with similar characteristics.

• Composites Research
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• v.35 no.5
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• pp.303-308
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• 2022

PIC (Piecewise Integrated Composite) is a new concept for designing a composite structure with mosaically assigning various types of stacking sequences in order to improve mechanical properties of laminated composites. Also, machine learning is a sub-category of artificial intelligence, that refers to the process by which computers develop the ability to continuously learn from and make predictions based on data, then make adjustments without further programming. In the present study, the tapered box beam type PIC robot arm for carrying and transferring wide and thin LCD display was designed based on the machine learning in order to increase structural stiffness. Essential training data were collected from the reference elements, which were intentionally designated elements among finite element models, during preliminary FE analysis. Additionally, triaxiality values for each finite element were obtained for judging the dominant external loading type, such as tensile, compressive or shear. Training and evaluating machine learning model were conducted using the training data and loading types of elements were predicted in case the level accuracy was fulfilled. Three types of stacking sequences, which were to be known as robust toward specific loading types, were mosaically assigned to the PIC robot arm. Henceforth, the bending type FE analysis was carried out and its result claimed that the PIC robot arm showed increased stiffness compared to conventional uni-stacking sequence type composite robot arm.

• Journal of the Korean Orthopaedic Association
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• v.56 no.3
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• pp.215-223
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• 2021

Purpose: Distal radius fractures in youth are treated conservatively in most cases, but there are some cases of redisplacement in the follow-up period after cast immobilization, even after complete reduction. This study examined the risk factors of redisplacement in reduced unstable distal radius fractures. Materials and Methods: From February 2011 to June 2018, 44 unstable distal radius fractures were managed with a closed reduction and cast immobilization. The patients were aged between 6 and 14 years. The cases of redisplacement were analyzed with the fracture characteristics (fracture obliquity, fracture level ratio, ulnar fracture combined), cast qualities (gap index, cast index, 3 point index, and radius-2nd metacarpal angle) and host factors (age, sex). Results: The mean angulation in the union was 9.2° (0°-32.8°). In the categorical grouping 29 cases were within 10° angulation, and 15 cases were more than 10°. No significant differences in the factors of the cast indices or host factors were noted. The meaningful factor was the fracture level calculated by the relative width of the fracture site divided by the sum of width of diaphysis and epiphysis (p=0.001) and combined ulnar fracture (p=0.019). Conclusion: Unstable distal radius fractures should be treated with more stubborn guidelines lest the fracture loses its anatomical alignment. In particular, in patients with less remodeling power, operative treatment would secure a better result if the fracture occurs in a more proximal location.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.202-216
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• 2021

Since the first 12 ones were designated in 1969, 228 places have been designated as tourism sites, and about 70 percent of them were designated before the 2000s. It shows that changes in most of tourism sites are needed in terms of physical, functional and environmental aspects. However, there are still not enough academic progress and policy consideration regarding the decline of tourism sites and the regeneration of them. This study aims to find the causes of decline and the factors to activate in tourism sites, to draw important conditions to recover the attractiveness of tourism sites in decline from the comprehensive analysis of causes and factors, and to apply the conditions to a real case in severely declining stage. According to the findings, the conditions for recovery could be restructured into four categories: 'The upgrade of hardware such as facilities in tourism site', 'the development of software such as contents and programs', 'the reinforcement of local capacity and institutional grounds' and 'the expansion of functions and the building of networks with various external stakeholders such as expert groups, related enterprises, talented individuals and so forth.

• Korean Journal of Psychosomatic Medicine
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• v.30 no.2
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• pp.55-65
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• 2022

Although humans exist as Homo Empathicus, human society is actually constantly divided and conflicted between groups. The human empathy response is very sensitive to the justice of others, and depending on the level of others' justice, they may feel empathy or schadenfreude to the suffering of them. However, our empathy to others' suffering are not always fair, and have inherent limitations of ingroup-biased empathy. Depending on whether the suffering other persons belongs to an ingroup or an outgroup, we may feel biased empathy or biased schadenfreude to them without even realizing it. Recent advances in information and communication technology facilitate biased access to ingroup-related SNS or ingroup media, thereby deepening the establishment of a more biased semantic information network related groups. These processes, through interacting with the inherent limitation of empathy, can form a vicious cycle of more biased ingroup empathy and ingroup-related activities, and accelerate divisions and conflicts. This research investigated the properties and limitations of empathy by reviewing studies on the neural mechanism of empathy. By examining the relationship between empathy and justice from a neuroscientific point of view, this research tried to illuminate the modern society of division and conflict in a different dimension from the classical perspective of social science.

• Journal of The Korean Association For Science Education
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• v.42 no.5
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• pp.515-524
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• 2022

In this study, the relationship between the perception of 'scientific creativity' and 'scientific creativity education' of pre-service elementary school teachers was explored, focusing on the creativity within and between the framework. Within-frame creativity is divided into theoretical creativity and experimental creativity that operate within the paradigm, and between-frame creativity refers to theoretical creativity that brings about paradigm shift. Data collection was conducted through in-depth interviews, and the analysis was performed based on the categories within and between the frames. As a result, pre-service elementary school teachers mainly understood scientific creativity as the scientific creativity within a frame. And they consider scientific creativity in various ways in experimental and theoretical creativity aspects within a frame. On the other hand, they thought that scientific creativity education was possible in terms of experimental creativity within a frame. Based on the results of this study, we would like to discuss the attributes of scientific creativity that can be considered in science education and its educational direction.

• Journal of the Korean Society of Earth Science Education
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• v.16 no.1
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• pp.72-86
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• 2023

The purpose of this study is to examine what epistemological beliefs pre-service teachers have about science depending on the situation, and to explore in-depth changes in epistemological beliefs through disciplinary reading. For this purpose, 77 essays written by pre-service elementary school teachers after reading Feynman's 'the meaning of it all' were analyzed using an inductive analysis method. As a result of the study, the epistemological beliefs of pre-service teachers were divided into two situations: 'science in subject learning' and 'science in daily life', and the epistemological beliefs formed in the 'science handled by scientists' situation were analyzed after reading the book. Each situation was divided into sub-categories of 'Impression of Knowledge', 'Source of Knowledge', 'Justification of Knowledge', 'Variability of Knowledge', 'Structure of Knowledge', and 'Value of Knowledge Acquisition' to reveal differences in sophisticated beliefs and naive belief levels. As a result, it was derived that Feynman's science lecture influenced pre-service teachers in terms of establishing new perspectives and recontextualizing existing epistemological beliefs. This study is meaningful in that pre-service teachers' scientific epistemological beliefs may vary depending on the situation, and that the scope and depth of epistemological beliefs may be expanded to include scientists' beliefs in science through disciplinary reading.

• Journal of the Korean Society of Earth Science Education
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• v.16 no.2
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• pp.261-275
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• 2023

The purpose of this study was to analyze the conceptual understanding of carbon neutrality among secondary school science pre-service teachers, as well as to identify gaze patterns in visual materials. For this study, gaze tracking data of 20 pre-service secondary school science teachers were analyzed. Through this, the levels of conceptual understanding of carbon neutrality were categorized for the participants, and differences in gaze patterns were analyzed based on the degree of conceptual understanding of carbon neutrality. The research findings are as follows. First, as a result of performing modeling activities to predict carbon emissions and removals until 2100 using the concept of '2050 carbon neutrality,' 50% of the participants held a conception that carbon emissions would continue to increase. Additionally, 25% of the participants did not properly understand the causal relationship between net carbon dioxide emissions and cumulative concentrations. Second, the gaze movements of the participants regarding visual materials related to carbon neutrality were significantly influenced by the information presented in the text area, and in the case of graphs, the focus was mainly on the data area. Moreover, when visual data with the same function and category were arranged, participants showed the most interest in materials explaining concepts or visual data placed on the left side. This implies a preference for specific positions or orders. Participants with lower levels of conceptual understanding and inadequate grasp of causal relationships among elements exhibited notably reduced concentration and overall gaze flow. These findings suggest that conceptual understanding of carbon neutrality including climate change and natural disaster significantly influences interest in and engagement with visual materials.

• Women's Studies Review
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• v.31 no.1
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• pp.93-116
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• 2014

This thesis discussed the status of women workers as wage laborers and home laborers and the valid of a documentary movie for representing women laborers through a documentary movie, Weabak that revolved around Home-ever occupation strike leaded E-Land labor union at 30th June, 2007. Jobs for women labors got covered by the flow of flexibility with the policy of labor flexibility in South Korea during 1990s. The reasons that justify this trend are their position in the households, and their roles in working places are not very important because there are not required difficult skills. The mass dismissal which caused the E-Land strike also shared these ideologies. In Weabak, since women laborers were always expected to care for their family, they were need strikes in their home as well as their working place. However, a household is a basement for them to get the identity as a women laborer. It has two ambivalent meanings, as a protected area and disorder for them to pursue their life at the same time. Identity of Women laborers, domestic laborers as well as wage laborers, are very difficult to identify as a general noun, a laborer. Weabak is an important example to show us the possibility of a documentary as searching new realism for representing women laborers' story using their own perspective.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.4
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• pp.179-188
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• 2023

Recently, fake news disguises the form of news content and appears whenever important events occur, causing social confusion. Accordingly, artificial intelligence technology is used as a research to detect fake news. Fake news detection approaches such as automatically recognizing and blocking fake news through natural language processing or detecting social media influencer accounts that spread false information by combining with network causal inference could be implemented through deep learning. However, fake news detection is classified as a difficult problem to solve among many natural language processing fields. Due to the variety of forms and expressions of fake news, the difficulty of feature extraction is high, and there are various limitations, such as that one feature may have different meanings depending on the category to which the news belongs. In this paper, emotional change patterns are presented as an additional identification criterion for detecting fake news. We propose a model with improved performance by applying a convolutional neural network to a fake news data set to perform analysis based on content characteristics and additionally analyze emotional change patterns. Sentimental polarity is calculated for the sentences constituting the news and the result value dependent on the sentence order can be obtained by applying long-term and short-term memory. This is defined as a pattern of emotional change and combined with the content characteristics of news to be used as an independent variable in the proposed model for fake news detection. We train the proposed model and comparison model by deep learning and conduct an experiment using a fake news data set to confirm that emotion change patterns can improve fake news detection performance.