Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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v.6
no.9
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pp.221-234
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2016
In order to revitalize the regional economy and culture, understanding what cultural resources are about is of prime importance. When considering cultural resources, one ought to appreciate that developing content industries can contribute to the development of the regional economy and the sustainability of the country. Recently, vast amounts of aid and financial resources have been earmarked for the development of the national cultural industries. Each region of our country has enhanced its autonomy in terms of decision-making, thus increasing the resort to cultural and natural resources. However, when industrializing and excavating hidden cultural resources, vitality should be breathed into regional and national economies. Moreover, as an issue of national importance, this could held resolving pressing matters such as the creation of added-value jobs, the merger of industries, basic architecture, societal problems and the revitalization of rural communities, to name but a few. Therefore, so as to develop regions through the revitalization of regional economies and the improvement of infrastructures, it is necessary to encourage cultural industries and the excavation of cultural resources. The present research suggests to upgrade the values of regional and cultural resources so as to revitalize cultural regional resources through concrete policies. This basically implies carrying out a program which aims at diffusing cultural values by resorting to cultural resources as tools of revitalization. Finally, the importance of cultural resources must be reflected in a diversified spectrum of policies aimed at bringing values out of cultural resources. Yet, thorough researches on proposals for a better use of regional resources are still much needed.
KSCE Journal of Civil and Environmental Engineering Research
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v.26
no.1D
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pp.157-167
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2006
During the first and second NGIS projects by the Korean government, The first one (1995~2000) was limited on constructing geographic information and the second (2001~2005) was focused on circulation and practical use of geoinformation from the result of the first project. In the latter half of 2nd NGIS project, However, the geographic information from the NGIS projects have not been renewed even though there were significant geographical changes. The accurate renewal of geoinformation is a matter of great importance to the next generation industry (e.g. LBS, Ubiquitous, Telematics). In this respect, it is time to update the geographic information in the latter half of the second NGIS project. Therefore, It is not only important to build an accurate geoinformation but also rapid and correct renewal of the geoinformation. NGII (National Geographic Information Institute) has been studying for improvement of digital map that was constructed by the result of the 1st NGIS project. Through the construction of clean digital map, NGII constructed Framework Data to three kinds of formats (NGI, NDA, NRL). Framework Data was contained to other database, and provided the reference system of location or contents for combining geoinformation. Framework Data is consist of Data Set, Data Model and UFID (Unique Feature Identifier). It will be achieved as national infrastructure data. This paper attempts to explore a method of the update to practical framework data with realtime geoinformation on feature's creation, modification and destruction managed by 'Feature management agency' using UFID's process. Furthermore, it suggests a method which can provide important data in order to plan the Framework update with the land change ratio.
These days sex has become a tool of interest, a constant stream of sex crimes occurs and it brings the age of population cliffs to an age of low birth rates. As an alternative to overcome these problems, we should establish the praying for a child, which has been our ancestors' way of life, as a sacred culture that holds the mystery of life-birth with a new awareness. Therefore, the purpose of this study is not to re-enact the Zhaungam area as a fun and interesting place, but as a sacred place to pray for the nobility, longevity and wealth of life. Based on the spirit of natural love, meeting, healing, and love based on the spirit of traditional culture, Doridori was chosen as the main theme of the project based on the spirit of natural love and life-respect, and the name "Doridori Secret Garden" was given out of 10 medals in Dandong for tourism storytelling. Cultural content becomes a marketing tool for the region and acts as a force for tourists to visit the area. In this context, it was confirmed that the creation of "Doridori Secret Garden" could lead to a high value-added industry that attracts tourists by enhancing the brand value of Andong and showing sufficient significance to become a new attraction. This study is intended to re-create the Zhaungam area as a sacred place to pray for the nobility of life and longevity and wealth of life, noting that people still pray for the birth of their children in Zhaungam and Zhagungam.
The main research is on how to find source stories and develop and utilize content that will properly show the value of Panmunjom and the surrounding DMZ on the Korean Peninsula, which are receiving worldwide attention. Three methods were used as research for the high-end branding of Panmunjom and the surrounding DMZ. The first is the interest of prospective visitors through the travel cycle, using Joseph Campbell's "The Hero's Journey." The second was to incorporate Roland Bart's "third meaning" into the subjective travel and emotional stimulation, which is the trend of modern travel. The third introduced Kevin Lynch's theory and tried to place five elements of the path, edge, district, node and landmark in the core location of Panmunjom. Through the study, the excavation of contents in Panmunjom and the surrounding DMZ needs to be collected to a third meaning using a direct interview method that listens to the stories of related figures as well as organizing historical events. The priority should be given to those over the age of 80 and interviews should be conducted at least three times and over three generations. The process of building it into an archive, selecting a story, and then going through a culture collage and networking and branding takes place in five stages. This can create a virtuous circle of content processing, content utilization, job creation in the region and revitalizing the local economy through discovery of source stories and storytelling. Content development should be able to touch sensibility while saving time, history, place, originality and sincerity. Taking the center between tourism and travel, development and damage concerns, a careful but long-term plan and large-scale discovery of source stories should be made, and a consensus should be formed on the need for proper storytelling.
At the present time when the need for universal artificial intelligence education is expanding and job changes are being made, research and discussion on artificial intelligence liberal arts education for non-majors in universities who experience artificial intelligence as part of their job is insufficient. Although artificial intelligence education courses for non-majors are being operated, they are mainly operated as theory-oriented education on the concepts and principles of artificial intelligence. In order to understand the general concept of artificial intelligence for non-majors, it is necessary to proceed with experiential learning in parallel. Therefore, this study designs artificial intelligence experiential education learning contents of difficulty that can reduce the burden of artificial intelligence classes with interest in learning by considering the characteristics of non-majors. After, we will examine the learning effect of experiential education using App Inventor and the Orange artificial intelligence platform. As a result of analysis based on the learning-related data and survey data collected through the creation of AI-related projects by teams, positive changes in the perception of the need for AI education were found, and AI literacy skills improved. It is expected that it will serve as an opportunity for instructors to lay the groundwork for designing a learning model for artificial intelligence experiential education learning.
This study aims to conduct the classification of Government as a Platform (GaaP) in a situation where the concept of GaaP can be diversely recognized. This is because inclusiveness and ambiguity in the concept of GaaP can hinder policy enforcement by working-level officials in the public sector. It drew the criteria for classification for GaaP based on literature and cases for GaaP. In the technical aspect, considering data as an overarching factor, the integrated system platform integrating the information system or websites of the public sector and the data platform as a single portal for open data to external stakeholders were sorted. In the governance aspect considering stakeholder as an overarching factor, the communication platform utilized for interaction between public and private sectors and the co-creation platform that encourages public-private partnership to create innovative outcomes were sorted. It suggested an actual implementation case and the policy implication according to each type of GaaP. Additionally, according to the classification of GaaP, it conducted contents analysis as to which type of GaaP the domestic Digital Platform Government belongs to based on its detailed assignment. Based on the classification of GaaP, it drew balanced implementation for various types of GaaP, plan for promoting the participation and collaboration of stakeholders, and necessity of restructuring and reinventing of the public sector as policy implications for the domestic digital platform government.
The Journal of the Institute of Internet, Broadcasting and Communication
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v.23
no.5
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pp.159-167
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2023
Due to the convergence of digital technology and the rapidly changing characteristics of the digital industry, the development projects in each technology field that have been carried out so far have blurred the boundaries of the business, dispersed business effects, and reached the limit in fostering a flexible industry that accommodates technological development. It appears that Therefore, the goal is to support the policy of the digital content development project by suggesting a plan to reorganize the structure and improve the management system of the digital content industry development project to effectively respond to the changing direction of the future digital content industry. Through structural analysis and diagnosis of government supported projects, it was proposed to reorganize the existing 19 key projects and 49 detailed projects into 7 key projects projects and 17 detailed projects. As a plan to improve the project management system, there are too many project implementation agencies and the absence of a general agency for detailed project support management, which limits the promotion of large-scale projects for organic linkage between projects and market creation. To improve this, a general agency that oversees the project management function was selected, and it was suggested that there was a need to unify project management into a general organization to manage the project efficiently.
Journal of the Institute of Convergence Signal Processing
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v.24
no.3
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pp.160-165
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2023
In this study, we propose an SNS sentence writing assistance system that utilizes YOLO and GPT to assist users in writing texts with images, such as SNS. We utilize the YOLO model to extract objects from images inserted during writing, and also extract meta-information such as GPS information and creation time information, and use them as prompt values for GPT. To use the YOLO model, we trained it on form image data, and the mAP score of the model is about 0.25 on average. GPT was trained on 1,000 blog text data with the topic of 'restaurant reviews', and the model trained in this study was used to generate sentences with two types of keywords extracted from the images. A survey was conducted to evaluate the practicality of the generated sentences, and a closed-ended survey was conducted to clearly analyze the survey results. There were three evaluation items for the questionnaire by providing the inserted image and keyword sentences. The results showed that the keywords in the images generated meaningful sentences. Through this study, we found that the accuracy of image-based sentence generation depends on the relationship between image keywords and GPT learning contents.
The Journal of the Convergence on Culture Technology
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v.9
no.5
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pp.779-785
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2023
In the creation of non-verbal dance performance, stage costumes are an important element of visual expression and serve an expanded role in addition to its fundamental decorativeness, representation of status reflective of the historical setting of the act and functionality for the dance movement. We intends that the purpose of this research is to analyze the expanded role of the costumes in the creative ballet <'That' Girl>, and through this exercise, provide foundational data on and suggest new future directions for stage costume design. <'That' Girl> is composed of two acts, offering condolences and eliciting empathy by conveying the fear experienced by the victims of the time. The second dance act representing freedom and "Haan" requires this expanded application of costume design. The costume design was inspired by the "Statue of Peace" representing comfort women, and completed through three draft designs and material experiments testing the ease of operation of the strings and fabrics installed in the costumes as well as the functionality of the associated ballet movements. In conclusion, expansion of time & space, expansion of form and expansion of symbolic expression were shown in the dance of liberation using strings wrapped around the arms and through the cloth embodying 'Haan' hidden in front of the costume.
AIoT, the intelligent Internet of Things, refers to a technology that collects data measured by IoT devices and applies machine learning technology to create and utilize predictive models. Existing research on AIoT technology education focused on building an educational AIoT platform and teaching how to use it. However, there was a lack of case studies that taught the process of automatically creating and utilizing machine learning models from data measured by IoT devices. In this paper, we developed a case study using a machine learning model for AIoT technology education. The case developed in this paper consists of the following steps: data collection from AIoT devices, data preprocessing, automatic creation of machine learning models, calculation of accuracy for each model, determination of valid models, and data prediction using the valid models. In this paper, we considered that sensors in AIoT devices measure different ranges of values, and presented an example of data preprocessing accordingly. In addition, we developed a case where AIoT devices automatically determine what information they can predict by automatically generating several machine learning models and determining effective models with high accuracy among these models. By applying the developed cases, a variety of educational contents using AIoT, such as prediction-based object control using AIoT, can be developed.
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