This study looked at how the digital cultural heritage, which is being actively built by the government and public institutions, can be utilized in the metaverse service. Through an expert interview, we investigated how the digital cultural heritage of Bulguksa can be serviced with the four elements of the metaverse: augmented reality, mirror world, lifelogging, and virtual world. As a result of the study, it was confirmed that when digital cultural heritage is used in a virtual space called metaverse, interactive and realistic services can be provided to users. In addition, it was found that users can exhibit, experience, and educate online parts that are not available in real life in the same situation as if they were in the field. Through this, it was confirmed that if digital cultural heritage is designed as a metaverse service, it can provide functions and services of a different level than before. In particular, the result was obtained that it is possible to provide services considering the characteristics of each of the four elements of the metaverse. First, it is possible to obtain the convenience of augmenting the senses by using augmented reality, and secondly, it is possible to obtain the scalability and efficiency of reproducing the real space by using it as a mirror world element. Third, by using the lifelogging element, communication can be strengthened through the user's record and connection, and fourthly, through the virtual world element, roles and activities in the virtual world can be given to the user. Therefore, if digital cultural heritage is developed as a metaverse service in consideration of these factors, a more active and open experience environment can be provided to users.
This study investigated the ecological characteristics of Microphysogobio yaluensis at Dugye Stream of Geum River basin from January to December 2021. The river bed structure of this species' habitat was rich in pebbles and gravel. The water depth ranged from 12 to 85 cm with an average of 23 cm, which was shallow. The stream velocity was rapid at 1.03±0.34(0.72-1.47) m/sec. The ratio of females to males was 1:0.86. The age according to the total length-frequency distribution as of summer (June, July) indicated that the group with less than 50 mm (30.4-49 mm) in total length was one year old, the group with 50-69 mm was two years old, and the group over 70-92 mm was three years old. Both male and female fish sexually matured at 50 mm long and two years old in June and July. The spawning season was from July to August, and the water temperature was between 25.8℃ and 28.2℃ during the period. The prosperous spawning season was July. The matured eggs were yellowish and spherical with a mean diameter of 0.52±0.16 (0.33-0.77) mm, and the average number of eggs found in the ovaries of mature female fish was 2,593 (1,343-4,672). As for the food of M. yaluensis, only attached algae, which grow by attaching to stones and gravel of the stream rapids, were identified. The feeding habit of M. yaluensis was reported to be herbivorous, ingesting Cyanophyta, Chlorophyta and Bacillariophya. Also, the species belonging to Bacillariophya and Chlorophyta were abundant in Dugye Stream.
Journal of the Korean Society of Marine Environment & Safety
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v.28
no.6
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pp.843-852
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2022
To determine the composition of benthic species on the southwest coast, a macrobenthos study was conducted at 18 sites on the islands of Wando and Jodo for seven summers (2014-2021) from June to September. Two hundred and twenty species(645 ind./m2) were collected on the rocky shores of Wando and Jodo. A similar number of species was observed in Wando (165 species) and Jodo (167 species). The mean density was higher in Wando (726 ind./m2) than in Jodo (564 ind./m2). The number of species was the highest at Site 15 (116 species), and the density was highest at Site 7 (1,664 ind/m2). The dominant species were Nodilittorina radiata with 175 ind./m2 (27.1%), Littorina brevicula with 97 ind./m2 (15.1%), and Heminerita japonica with 41 ind./m2 (6.3%). The climate change indicator species, Tetraclita japonca, appeared in 15 sites, and the endemic species, Ptilohyale bisaeta, appeared in some sites. Fusinus spectrum, which appears on the Red List as a Near Threatened (NT) species, the lowest level of extinction risk, appeared in Jodo. The macrobenthos of Wando and Jodo demonstrated the general characteristics of rocky shores in Korea. Based on the tides and substrate, the rocky shores revealed a vertical distribution trend where Nodilittorina radiata, Littorina brevicula, Chthamalus challengeri, and Reishia clavigera were dominant. Wando and Jodo exhibited similar habitat distribution patterns.
Journal of the Korean Society for Library and Information Science
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v.57
no.2
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pp.379-408
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2023
This case study reports on the redevelopment of a course, Local Culture Information Theory offered by the Department of Library and Information Science at C University, into a capstone design course using a project-based learning approach. In collaboration with a local community youth organization, the redesigned course provided an opportunity for LIS students to develop and implement a digital literacy program that enabled high school students to use a variety of digital multimedia technologies to complete a project of digital Human Library featuring video, audio, and digital are such as webtoons. Through semi-structured interviews with 5 students and 3 staff from partner organizations, this study reports on course development process, the establishment of local partnerships, project outcome, as well as suggestions for improvements. In addition, a qualitative analysis of the participating students' interview responses using the Framework for 21st Century Learning (P21) found they developed and improved 11 skills across three core areas: life and career skills including self-direction, project management, collaboration with diverse teams, flexibility, responsibility, leadership; learning and innovation skills including communication and collaboration, problem-solving, creativity, and critical thinking; and information, media, and technology skills through media creation. Lessons learned and recommendations from this case study may be useful for other LIS programs and faculty interested in implementing project-based learning or developing capstone design courses.
Cloud coverage is a key factor in determining whether to proceed with observations. In the past, human judgment played an important role in weather evaluation for observations. However, the development of remote and robotic observation has diminished the role of human judgment. Moreover, it is not easy to evaluate weather conditions automatically because of the diverse cloud shapes and their rapid movement. In this paper, we present the development of a cloud monitoring program by applying a machine learning-based Python module "cloudynight" on all-sky camera images obtained at Miryang Arirang Astronomical Observatory (MAAO). The machine learning model was built by training 39,996 subregions divided from 1,212 images with altitude/azimuth angles and extracting 16 feature spaces. For our training model, the F1-score from the validation samples was 0.97, indicating good performance in identifying clouds in the all-sky image. As a result, this program calculates "Cloudiness" as the ratio of the number of total subregions to the number of subregions predicted to be covered by clouds. In the robotic observation, we set a policy that allows the telescope system to halt the observation when the "Cloudiness" exceeds 0.6 during the last 30 minutes. Following this policy, we found that there were no improper halts in the telescope system due to incorrect program decisions. We expect that robotic observation with the 0.7 m telescope at MAAO can be successfully operated using the cloud monitoring program.
The Journal of the Convergence on Culture Technology
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v.10
no.2
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pp.517-524
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2024
This study aims to train and implement a deep learning model for the fusion of website creation and artificial intelligence, in the era known as the AI revolution following the launch of the ChatGPT service. The deep learning model was trained using 3,000 collected web page images, processed based on a system of component and layout classification. This process was divided into three stages. First, prior research on AI models was reviewed to select the most appropriate algorithm for the model we intended to implement. Second, suitable web page and paragraph images were collected, categorized, and processed. Third, the deep learning model was trained, and a serving interface was integrated to verify the actual outcomes of the model. This implemented model will be used to detect multiple paragraphs on a web page, analyzing the number of lines, elements, and features in each paragraph, and deriving meaningful data based on the classification system. This process is expected to evolve, enabling more precise analysis of web pages. Furthermore, it is anticipated that the development of precise analysis techniques will lay the groundwork for research into AI's capability to automatically generate perfect web pages.
The purposes of this study were to develop an Earth systems-based earth science module and to investigate the effects of field application. The module was applied to two classrooms of a total of 76 second-year high schoolers, in order to investigate the effectiveness of the developed module. Data was collected from observations in earth science classrooms, interviews, and questionnaires. The findings were as follows. First, the Earth systems-based earth science module was designed to be associated with the aims of the national Earth Science Curriculum and to improve students' Earth science literacy. The module was composed of two sections for a total of seven instructional hours for high schoolers. The former sections included the understanding of the Earth system through the understanding of each individual component of the system, its characteristics, properties and structure. The latter section of the module, consisting of 4 instructional hours, dealt with earth environmental problems, the understanding of subsystems changing through natural processes and cycles, and human interactions and their effects upon Earth systems. Second, the module was helpful in learning about the importance of understanding the interactions between water, rock, air, and life when it comes to understanding the Earth system, its components, characteristics, and properties. The Earth systems-based earth science module is a valuable and helpful instructional material which can enhance students' understanding of Earth systems and earth science literacy.
Objectives: This study was conducted to create a 3D printable snack dish model for the elderly with low food or fluid intake along with barriers towards eating. Methods: The decision was made by the hybrid-brainstorming method for creating the 3D model. Experts were assigned based on their professional areas such as clinical nutrition, food hygiene and chemical safety for the creation process. After serial feedback processes, the grape shape was suggested as the final model. After various concept sketching and making clay models, 3D-printing technology was applied to produce a prototype. Results: 3D design modeling process was conducted by SolidWorks program. After considering Dietary reference intakes for Koreans (KDRIs) and other survey data, appropriate supplementary water serving volume was decided as 285 mL which meets 30% of Adequate intake. To consider printing output conditions, this model has six grapes in one bunch with a safety lid. The FDM printer and PLA filaments were used for food hygiene and safety. To stimulate cognitive functions and interests of eating, numbers one to six was engraved on the lid of the final 3D model. Conclusions: The newly-developed 3D model was designed to increase intakes of nutrients and water in the elderly with dementia during snack time. Since dementia patients often forget to eat, engraving numbers on the grapes was conducted to stimulate cognitive function related to the swallowing and chewing process. We suggest that investigations on the types of foods or fluids are needed in the developed 3D model snack dish for future studies.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.16
no.5
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pp.15-29
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2021
This study is based on ERIS model for start-up performance, and aims to derive the main reason for start-up sustainability centered on organizational resilience. To this end, systematic literature examination and modified Delphi method were used to investigate start-up sustainability factors based on ERIS Model focused on organizational resilience. The results showed that ERIS model-based entrepreneurial continuity factors were divided into four categories: entrepreneur, resource, industrial environment, strategy, subdivision 8 and detailed factors 54. In addition, the ERIS model-based continuity factors were structured around organizational resilience, and the continuity factors were structured according to ERIS model under five categories: leadership, culture, people, system and environment. The results of this study are as follows. First of all, the results of existing research and analysis show that the concept of successful start-up and sustainability of start-up are used in various fields. Second, it is confirmed that there are common factors of influence on start-up performance and start-up sustainability based on ERIS model. Third, Delphi method's results showed that the general characteristics of entrepreneurs, such as academic background, education level, gender, age, and business experience did not affect the sustainability of entrepreneurship. This study is significant in that it is based on ERIS model focused on organization resilience, and ERIS-R, which integrates Strategy into System and Organization resilience into R in the field of gradually expanding start-up development and support. It is expected that the results of this study will improve the sustainability of start-up that can predict, prevent, and overcome various crises at any time.
This study analyzes the process of overcoming prejudice and discrimination experiences of mothers with disabilities and looks for improvement points. It is interviewed 9 mothers of children with disabilities who were experiencing prejudice and discrimination while raising children with disabilities. The data collection was conducted from October to November, 2018 and one by on one in depth interview by using semi - structured questionnaires. Data analysis was done through consensual qualitative research (CQR). The result of CQR while it is a experiencing the process of prejudice and discrimination as well as coping the raising disabled children. 'Prejudice and discrimination experience of mothers with disabilities' and 'overcoming of discrimination experiences of mothers with disabilities' were derived. And the seven sub-regions, 28 categories, were finally constructed. The results of the study are as follows. Firstly, Prejudice and discrimination experiences of mothers with disabilities in raising children with disabilities are view of looking at children with disabilities comparing to those of normal children and children with disabilities. It seems that they want to treat the disabled child as the general child with an attitude of understanding and accepting the disabled child rather than looking at the disabled child with wrong perception, prejudice, stereotypes and rejection. Secondly, The process of overcoming the discrimination experiences of the mother of the disabled child is strengthening the cohesion and cohesion within the family in the process of accepting and coping with the disability family of the child with disabilities even if they raise the child with disability and have difficulties such as recognition bias and discrimination of the general public. Based on the results of this study, we suggested practical and policy implications for the mother's psychological stability of the child with disability and the disabled child's healthy life.
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