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The Development of VR based Application for Realistic Disaster Prevention Training (현실감 있는 재난재해 예방 교육을 위한 VR 기반 앱 개발)

  • Kim, Taehoon;Youn, Junhee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.12
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    • pp.287-293
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    • 2018
  • The Korean peninsula has been known as an area that is free of volcanic disasters. However, recent observations and research results of volcanoes in Far East Asia, including Baedu Mountain and Japanese volcanoes, show that the Korean peninsula is no longer a safe area from volcanic disasters. Since 2012, the Korean government has been developing an IT-based construction technology, VDRS (Volcanic Disaster Response System), for effective volcanic disaster response system. The main users of VDRS are public officers in central or local governments. However, most of them have little experience and knowledge about volcanic disasters. Therefore, it is essential to develop education contents and implement training on volcanic disaster response for effective response in a real disaster situation. In this paper, we deal with the development of a mobile application based on virtual reality (VR) for realistic volcanic disaster response training. The objectives of training are the delivery of knowledge and experience for volcanic disasters. First, VR contents were generated based on spatial information. A 3D model was constructed based on a Digital Elevation Model (DEM), and visualization models for meterological effects and various volcanic disaster diffusion effects were implemented for the VR contents. Second, the mobile application for the volcanic disaster response training was implemented. A 12-step story board is proposed for volcanic disaster experience. The application was developed with the Unity3D engine based on the proposed story board to deliver knowledge of various volcanic disasters (volcanic ash, pyroclastic flows, volcanic mudflow etc.). The results of this paper will be used for volcanic disaster response and prevention training and for more realistic training linked with augmented reality technology in the future.

The Validation of the Play Participation Attitude Scale for Parents of Preschoolers (영유아 부모의 놀이참여태도 척도 타당화 연구)

  • Lee, So-yean;Wui, Yeong-hee;Yoo, Jae-ryoung;Chyung, Yun-joo;Lee, Young-ae;Kim, Lee-jin
    • Korean Journal of Play Therapy
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    • v.21 no.4
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    • pp.491-507
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    • 2018
  • The purpose of this study is to validate the Play Participation Attitude Scale for parents of preschoolers, which was developed by the Delphi survey. 447 parents of 9 daycare centers in Seoul and Incheon were recruited for this study and, finally, data from 339 parents were used to perform exploratory factor analysis, confirmatory factor analysis, correlation analysis, multiple regression analysis, and reliability analysis. The results of the study are as follows. First, factor analyses revealed that the global fit of the sensitively play (7 items), responsively play (6 items), and delightfully play(7 items) three-factor model was good. Second, the internal consistency of the Play Participation Attitude Scale was good. Third, there was a statistically significant positive correlation between the current scale and the parents' playfulness scale, indicating concurrent validity. Finally, higher scores of the Play Participation Attitude Scale and its three factors significantly predicted lower scores of parenting stress and higher scores of the preschoolers' self-control ability. These findings revealed that this new measure to be both valid and reliable and specifically suggests what kind of attitude is appropriate for parents to adopt when participating in preschoolers' play.

A Study on the Effectiveness of Wind Corridor Construction forImproving Urban Thermal Environment: A Case study of Changwon, South Korea (도시 열환경 개선을 위한 취약지역 선정 및 바람길 조성 방안: 창원시를 대상으로)

  • Kim, Jong-Sung;Kang, Jung-Eun
    • Journal of Environmental Impact Assessment
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    • v.30 no.4
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    • pp.187-202
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    • 2021
  • This study examined the effectiveness of wind corridor construction by analyzing the thermal environment, cold air generation, ventilation, and geographical characteristics to improve urban thermal environment and establish the basis for specialized strategy in Changwon-si, Gyeongsangnam-do. Using spatial analysis and remote sensing techniques, surface temperature, land cover and land use, wind field, and slope were measured and through this, a wind corridor analysis model was constructed. As a result of the analysis as of 2020, Changwon-si generally has land cover characteristics that are advantageous for the generation of cold air, but the temperature in most urban areas is the highest, and the temperature in areas such as north Changwon area, Jinbukmyeon, Ung-dong, and Ungcheon-dong are relatively high. There was a typical trend of high average wind speed in mountain regions and low average wind speed in urban areas. Accordingly, the north Changwon area, the former Changwon downtown area, the Hogye-ri and Pyeongseong-ri areas, and the Changpo Bay area are derived as vulnerable areas to thermal environment, and various measures to reduce temperature and improve air quality that the inflow of cold air into the area considering the characteristics of each area and securing wind ventilation between the surrounding mountains, reservoirs, and park areas were proposed.

Construction of a Bark Dataset for Automatic Tree Identification and Developing a Convolutional Neural Network-based Tree Species Identification Model (수목 동정을 위한 수피 분류 데이터셋 구축과 합성곱 신경망 기반 53개 수종의 동정 모델 개발)

  • Kim, Tae Kyung;Baek, Gyu Heon;Kim, Hyun Seok
    • Journal of Korean Society of Forest Science
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    • v.110 no.2
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    • pp.155-164
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    • 2021
  • Many studies have been conducted on developing automatic plant identification algorithms using machine learning to various plant features, such as leaves and flowers. Unlike other plant characteristics, barks show only little change regardless of the season and are maintained for a long period. Nevertheless, barks show a complex shape with a large variation depending on the environment, and there are insufficient materials that can be utilized to train algorithms. Here, in addition to the previously published bark image dataset, BarkNet v.1.0, images of barks were collected, and a dataset consisting of 53 tree species that can be easily observed in Korea was presented. A convolutional neural network (CNN) was trained and tested on the dataset, and the factors that interfere with the model's performance were identified. For CNN architecture, VGG-16 and 19 were utilized. As a result, VGG-16 achieved 90.41% and VGG-19 achieved 92.62% accuracy. When tested on new tree images that do not exist in the original dataset but belong to the same genus or family, it was confirmed that more than 80% of cases were successfully identified as the same genus or family. Meanwhile, it was found that the model tended to misclassify when there were distracting features in the image, including leaves, mosses, and knots. In these cases, we propose that random cropping and classification by majority votes are valid for improving possible errors in training and inferences.

An Analysis of Factors Affecting Satisfaction with Seoul Public Bike (서울시 공공자전거 이용환경 만족도 영향요인 분석)

  • Kim, So-Yun;Lee, Kyung-Hwan;Ko, Eun-Jeong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.2
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    • pp.475-486
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    • 2021
  • The purpose of this study was to propose a policy direction to improve the service of public bicycles in Seoul by identifying the physical characteristics that affect the satisfaction level in the Seoul Metropolitan Government's public bicycle use environment. To this end, a survey was conducted on users regarding their experiences using public bicycles in Seoul, and the responses of 567 people were analyzed. IPA analysis and ordinal logistic analysis were used. An analysis of the Seoul Metropolitan Government's public bicycle IPA showed that the satisfaction level was lower than that of importance in all categories. Among them, the most urgent need for improvement was the installation of bicycle roads, improved connectivity of bicycle roads, improved road management, classification of roads and bicycle roads, improved safety during night driving, and low satisfaction levels. Second, an analysis of the factors affecting the satisfaction in the public bicycle use environment showed that the model's explanatory power increased significantly from 0.062 to 0.437 after incorporating perceived variables, confirming that the perceived neighborhood environment characteristics are an important variable for determining the satisfaction level in the public bicycle use environment, among the perceived neighborhood environmental characteristics, accessibility, convenience, manageability.

An Action Research to Improve Nursing Ethics and Professional Course using Visual Thinking and Window Panning (비주얼 씽킹과 윈도우 패닝을 적용한 간호윤리와 전문직 교과목 수업개선에 관한 실행연구)

  • Choi, Hanna;Kim, Suhyun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.3
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    • pp.362-373
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    • 2021
  • This is an action research study of mixed methodology design to confirm the implementation process and effects of applying visual thinking and window paning on improving nursing ethics and professional courses. Based on the conceptual model for action research, a quantitative and qualitative approach was taken. The data was collected and analyzed in an integrated manner. The survey analysis was done using the SPSS WIN 23.0 program. The participants were interviewed after experiencing the techniques in class and content analysis was used on the answers. As a result of applying visual thinking and window paning, ethical decision-making confidence (t=6.748, p<.001) and nursing professional intuition (t=-3.52, p<.001) showed statistically significant changes. There was, however, no significant change in biomedical ethics consciousness (t=1.291, p=.199). Qualitative analysis found that they had fresh experience, an unfamiliar but comfortable feeling, feeling of being mine, insufficient time, systematic case study approach based on theory, were able to cultivate cooperation and coordination ability through discussion and experience in various professional fields, pride, ethical responsibility consciousness and were able to apply learning content in the field. Visual thinking and window paning foster diverse competencies in nursing education and help integrative learning. Therefore, based on the results it is proposed that visual thinking and window paning are applied to the improvement of instruction in other courses to develop core nursing competency.

ROC Analysis of Topographic Factors in Flood Vulnerable Area considering Surface Runoff Characteristics (지표 유출 특성을 고려한 홍수취약지역 지형학적 인자의 ROC 분석)

  • Lee, Jae Yeong;Kim, Ji-Sung
    • Ecology and Resilient Infrastructure
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    • v.7 no.4
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    • pp.327-335
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    • 2020
  • The method of selecting an existing flood hazard area via a numerical model requires considerable time and effort. In this regard, this study proposes a method for selecting flood vulnerable areas through topographic analysis based on a surface runoff mechanism to reduce the time and effort required. Flood vulnerable areas based on runoff mechanisms refer to those areas that are advantageous in terms of the flow accumulation characteristics of rainfall-runoff water at the surface, and they generally include lowlands, mild slopes, and rivers. For the analysis, a digital topographic map of the target area (Seoul) was employed. In addition, in the topographic analysis, eight topographic factors were considered, namely, the elevation, slope, profile and plan curvature, topographic wetness index (TWI), stream power index, and the distances from rivers and manholes. Moreover, receiver operating characteristic analysis was conducted between the topographic factors and actual inundation trace data. The results revealed that four topographic factors, namely, elevation, slope, TWI, and distance from manholes, explained the flooded area well. Thus, when a flood vulnerable area is selected, the prioritization method for various factors as proposed in this study can simplify the topographical analytical factors that contribute to flooding.

The Effects of VR-based Cultural Heritage Experience on Visit Intention (VR 기반 문화유산 체험이 방문의도에 미치는 영향)

  • Yoo, Kun Woo;Hwang, Kyunghwa;Kwon, Ohbyung
    • The Journal of Society for e-Business Studies
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    • v.26 no.2
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    • pp.95-122
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    • 2021
  • As it recently became a non-face-to-face society because of the COVID-19 Pandemics, attempts have been made to experience heritage based on virtual reality (VR). Despite the satisfaction of VR contents, however, questions are being raised about whether the VR experience leads to visit a heritage tour or reduces to visit a heritage tour. This study examined how VR-based heritage experiences affect the visit intention of heritage sites. In addition, this study investigated how VR-based experiences differently affect the visit intention compared to web-based experiences. To this end, based on the information success model proposed by DeLone and McLean, this study examined how the perception for system quality and information quality through VR (vs. web) experience affects the intention of visiting the historical site. The results demonstrated that satisfaction was positively influenced by the convenience of system quality and the presence and usefulness of information quality and that the presence and satisfaction positively affected continuance intention. In addition, continuous intention to use positively affected the visit intention of heritage sites. Lastly, it has been shown that the usefulness of information quality in groups experiencing content through the Web (vs. VR) has a greater impact on the intent of continuous use. Based on the results of this study, we discussed ways to organize tourism content to increase the intention of visiting heritage sites.

An In-depth Analysis and Future Prospect of Korean Educational Administration Research Trends : Focused on the Study of Educational Administration from 2009 to 2018 (한국 교육행정학 연구동향의 심층분석 및 미래 전망 : 2009년~2018년까지의 교육행정학연구를 중심으로)

  • Shin, Hyun-Seok;Park, Gyun-Yeol;LEE, YE SEUL;Yun, Ji-Hui;Sin, Beom-Cheol
    • (The)Korea Educational Review
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    • v.24 no.4
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    • pp.247-286
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    • 2018
  • The study aims to analyze the research trends according to 'characteristics of researchers' in the research papers published in "The Journal of Educational Administration" between last 10 years(2009 to 2018 first half). The study results are as follow. First, in terms of the researcher, more research was done by 'joint' researchers than a 'single' researcher. In addition, the number of studies in which the first author was male was higher than in women. Also, collaborative research between 'professors' and 'graduate students' was actively done. Second, the number of studies to develop and verify theories(or models) has increased. Third, in terms of research methods, more studies tend to utilize 'quantitative research' using advanced statistics and 'qualitative research' through interviews and observations to describe and explain Korea's educational administration phenomenon. Fourth, researchers showed high interest in 'School organization and management;', 'Higher education', 'Education policy and planning'. Fifth, according to each research area, there were some differences in the characteristics of the researchers who conducted the research, the nature of the research, and the research methods used mainly. Based on the results of this study, this study suggested the future trends of educational administration research in the era of the fourth industrial revolution.

The relationship among Korean language abilities, self-efficacy, teacher's perceptions of multi-cultural education, student-teacher attachment relationships and school adjustment for multi-cultural students (다문화가정 학생의 한국어능력과 교사의 다문화교육 인식이 자기효능감과 학생-교사 애착관계를 매개로 학교적응에 미치는 영향)

  • Tak, Hyeon-Ju;Kim, Jong Baeg;Mun, Gyeong-Suk
    • (The) Korean Journal of Educational Psychology
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    • v.28 no.1
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    • pp.23-39
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    • 2014
  • The goal of this study was to examine the relationship among students' personal variables(Korean language abilities, self-efficacy, student-teacher attachment relationships), teacher variable(perceptions of multi-cultural education) affecting on multi-cultural students' school adjustment. Structural equation modeling was performed to test the mediating role of self-efficacy and student-teacher attachment affecting multi-cultural students' school adjustment. 336 elementary students and their matching 264 elementary school teachers were participated for this study. The model fit for this study model was acceptable, =280.024, df=98, CFI=.930, RMSEA = .074. The results revealed that teacher's perceptions on multi-cultural education significantly related with student-teacher relationships. However, Korean language ability did not directly affect the school adjustment for multi-cultural background students. That is, self-efficacy and student-teacher relationships mediated between Korean language ability and school adjustment. Moreover student-teacher relationships seem to be the key mediating factor between other research variables and school adjustment. Further considerations and future directions based on results were discussed.