• Journal of the Korea institute for structural maintenance and inspection
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• v.24 no.6
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• pp.206-216
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• 2020

As the number of aging railway bridges in Korea increases, maintenance costs due to aging are increasing and continuous management is becoming more important. However, while the number of old facilities to be managed increases, there is a shortage of professional personnel capable of inspecting and diagnosing these old facilities. To solve these problems, this study presents an improved model that can detect Local damage to structures using machine learning techniques of AI technology. To construct a damage detection machine learning model, an analysis model of the bridge was set by referring to the design drawing of a non-ballasted plate-girder railroad bridge. Static strain data according to the damage scenario was extracted with the analysis model, and the Local damage index based on the reliability of the bridge was presented using statistical techniques. Damage was performed in a three-step process of identifying the damage existence, the damage location, and the damage severity. In the estimation of the damage severity, a linear regression model was additionally considered to detect random damage. Finally, the random damage location was estimated and verified using a machine learning-based damage detection classification learning model and a regression model.

• Korean Association of Arts Management
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• no.54
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• pp.5-31
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• 2020

This study has started from the political process of local community power structure to elaborate the reason why both a majority of cultural artists and cultural artist organizations want to be against establishing the local Foundation for Arts and Culture. The cultural artists and cultural artist organizations believe that the establishment of the local Foundation for Arts and Culture might threaten not only their monopolistic status or their livelihood in the local market relying on public supports, but also make them being marginalized from the potential supports. Therefore many of them have somewhat unfavourable opinions about its establishment. Drawing from the Jellabuk-do case, their concern of being isolated from the monopoly by the local Foundation for Arts and Culture are reduced to publicized discourses such as powerization, the lack of expertise, the loss of independence, and the fall of business. When constructing the Foundation for Arts and Culture, the major values are 'Pluralism' and 'Fairness'. On one hand, the terms of Fairness means that it should be fair in operations, support and executive composition. On the other hand, Pluralism means that policy-making rights should be distributed to various groups, not owned by some specific groups. Some plans for building Foundation for Arts and Culture are needed to make diverse classes and groups to expect the pluralistic interests emerged eventually.

• Journal of Korean Elementary Science Education
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• v.41 no.4
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• pp.725-739
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• 2022

This study aims to analyze what elementary school pre-service teachers focused on and what challenges they faced in designing and producing a guided science inquiry program based on augmented reality (AR) and to provide some implications for teachers' professionalism and teacher education. To this end, focusing on the cases of pre-service teachers who designed and created AR-based guided inquiry programs, the researchers extracted and categorized the pre-service teachers' focus and challenges from the program design and production stages. As a result, in the program design stage, the pre-service teachers tried to construct scenarios that could promote students' active inquiry process. At the same time, drawing on the unique affordances of AR, the pre-service teachers focused on creating vivid visual data in a 3D environment and making meaningful connections between virtual and real-world activities. The pre-service teachers faced challenges in making use of the advantages of AR technology and designing an inquiry program due to a lack of background knowledge about CoSpaces, a content creation program. In the program production stage, the pre-service teachers tried to make their program easy to handle to improve students' concentration on inquiry activities. In addition, challenges of programming using CoSpaces were reported. Based on these results, educational implications were discussed in terms of the pedagogical uses of AR and teachers' professionalism in adopting AR in science inquiry.

• Journal of the Society of Disaster Information
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• v.18 no.4
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• pp.883-890
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• 2022

Purpose: Currently, in the case of domestic fire fighting facility design, it is difficult to secure highquality manpower due to low design costs and overheated competition between companies, so there is a limit to improving the fire safety performance of buildings. Accordingly, AI-based firefighting design solutions were studied to solve these problems and secure leading fire engineering technologies. Method: Through AutoCAD, which is widely used in existing fire fighting design, the procedures required for basic design and implementation design were processed, and AI technology was utilized through the YOLO v4 object recognition deep learning model. Result: Through the design process for fire fighting facilities, the facility was determined and the drawing design automation was carried out. In addition, by learning images of doors and pillars, artificial intelligence recognized the part and implemented the function of selecting boundary areas and installing piping and fire fighting facilities. Conclusion: Based on artificial intelligence technology, it was confirmed that human and material resources could be reduced when creating basic and implementation design drawings for building fire protection facilities, and technology was secured in artificial intelligence-based fire fighting design through prior technology development.

• Explosives and Blasting
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• v.40 no.4
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• pp.15-26
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• 2022

With the recent increase in old and dangerous buildings, the demand for technology in the field of structure demolition is rapidly increasing. In particular, in the case of structures with severe deformation of damage, there is a risk of deterioration in stability and disaster due to changes in the load distribution characteristics in the structure, so rapid structure demolition technology that can be efficiently dismantled in a short period of time is drawing attention. However, structural deformation such as unauthorized extension or illegal remodeling occurs frequently in many old structures, which is not reflected in structural information such as building drawings, and acts as an obstacle in the demolition design process. In this study, as an effective way to overcome the discrepancy between the structural information of old structures and the actual structure, access to actual structures through 3D modeling was considered. 3D point cloud data inside and outside the building were obtained through LiDAR and drone photography for buildings scheduled to be blasting demolition, and precision matching between the two spatial data groups was performed using an open-source based spatial information construction system. The 3D structure model was completed by importing point cloud data matched with 3D modeling software to create structural drawings for each layer and forming each member along the structure slab, pillar, beam, and ceiling boundary. In addition, the modeling technique proposed in this study was verified by comparing it with the actual measurement value for selected structure member.

• Korean Journal of Construction Engineering and Management
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• v.24 no.5
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• pp.52-62
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• 2023

The objective of this study is to propose an automated algorithm for precise cutting length of slab rebar complying with regulations such as anchorage length, standard hooks, and lapping length. This algorithm aims to improve the traditional manual quantity take-off process typically outsourced by external contractors. By providing accurate rebar quantity data at BBS(Bar Bending Schedule) level from the bidding phase, uncertainty in quantity take-off can be eliminated and reliance on out-sourcing reduced. In addition, the algorithm allows for early determination of precise quantities, enabling construction firms to preapre competitive and optimized bids, leading to increased profit margins during contract negotiations. The proposed algorithm not only streamlines redundant tasks across various processes, including estimating, budgeting, and BBS generation but also offers flexibility in handling post-contract structural drawing changes. In particular, the proposed algorithm, when combined with BIM, can solve the technical problems of using BIM in the early phases of construction, and the algorithm's formulas and shape codes that built as REVIT-based family files, can help saving time and manpower.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.6
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• pp.701-708
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• 2017

The construction cost is estimated based on the drawings at the design stage and constructor will find efficient construction methods for budgeting and budgeting appropriate to the budget. Accurate quantity estimation and budgeting are critical to determining whether the project is profitable or not. However, since this process is mostly performed depending on manpower or 2D drawings, errors are likely to occur and The BIM(Build Information Modeling) program, which can be automated, is very expensive and difficult to apply in the field. In this study, 3D architectural modeling was performed using SketchUp which is a 3D modeling software and suggest a methodology for Quantity Estimation. As a result, 3D modeling was performed effectively using 2D drawings of buildings. Based on the modeling results, it was possible to calculate the difference of the quantity estimation by 2D drawing and 3D modeling. The research suggests that the 3D modeling using the SketchUp and the calculation of the quantity can prevent the error of the conventional 2D calculation method. If the applicability of the research method is verified through continuous research, it will contribute to increase the efficiency of architectural modeling and quantity Estimation work.

• 지역과문화
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• v.6 no.4
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• pp.47-72
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• 2019

The purpose of this paper is to explore what roles can and should regional culture play in establishing a regional innovation system, which has been recently described as an essential factor for balanced regional development and specialized regional development. In doing so, we first investigated key concepts and discourses regarding regional innovation system and examined the success factors of a regional innovation system. We also explored how the Korean policy makers have developed the nation's regional innovation policy and regional cultural policy in order to understand the policy context and its limitations. After examining the theoretical background, we reviewed the representative cases of regional innovation in Japan, Yufuin and Yubari, to grasp the way in which 'culture' plays its roles in the formation of the regional innovation system. Since culture has a role as a unique sector, such as art and content industry, as well as a community's style of life, this study tried to explore the aspects and ways of how culture can contribute to the establishment of regional innovation systems considering these distinctive levels. In drawing the implications of the case study, we found that special attention is required for the 'process of formation' of regional innovation systems. We also confirmed that the success of the core activities at each stage heavily relies on the culture of the region; in order to fully understand the relations, it is necessary to re-establish the existing concept of culture and cultural policy with a more holistic perspective.

• Journal of the Daesoon Academy of Sciences
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• v.22
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• pp.471-507
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• 2014

Edification in Daesoonjinrihoe is not only a phenomenon that occurs following the differences of religious experience or spiritual development among the community members, which enables the members to share teaching and learning experiences with one another, but also an issue determined as one of the major activities of the religious order and a plan for achieving the purpose of the religious order-Podeokchenha(Wordly Propagation), Gujechansaeng (Salvation of all mankind) and Jisangcheonguk Geonseol(Building of earthly paradise). The purpose of this article is to clarify its concept and provide an example of edification, through considering the historical model for edification to help the cultivators with their work of edification. The archetype of edification of Daesoonjinrihoe was formed and gradually developed in phases by Sangje, Kang Jeungsan, the Supreme God(姜甑山, 1871-1909), Doju, Jo Jeongsan(趙鼎山, 1895-1958) and Dojeon, Park Wudang(朴牛堂, 1917-1995), by the three of whom the Religious Authority was succeeded. Sangje descended to the human world and preached to people to live by the rule of Haewon Sangsaeng(Resolution of grievances for the mutual beneficences of all life) and set an example of abolishing the old customs, living in mutual beneficences and having respect for human being. Doju, in revering the last will of Sangje, established the religious order by setting its creed, rituals and activities, which formed most contents of the archetype of edification. Dojeon set up a religious faith system by firmly establishing the Religious Authority and performed the True Law in accordance with Sangje's program of heaven to educate the cultivators to achieve the goal of self-cultivation following the last will of Doju. Through this, a perfect method to reach the state of Dotong(The Truly Unified State of Dao) is fulfilled. In this way, the archetype of edification was formed in the process of succession of Religious Authority. In conclusion, edification in Daesoonjinrihoe contributes to a 'systematic conveyance and understanding' through the historical archetype of edification, and it can be described as a concept that becomes a model to put into practice the 'True Law' of teachings given by two Sangjes for Dotong. Therefore, edification of Daesoonjinrihoe is drawing attention of its development as an important activity that realizes the ultimate value of the religious order because it solves the problems of immorality(absence of Dao), disorder and disregard of human value generated from the other side of this material civilization, with the truth of Haewon Sangsaeng, and has a function of rebuilding and leading the individuals and the society to the Truly Unified State of Dao through performing of the True Law.

• Journal of Service Research and Studies
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• v.13 no.4
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• pp.191-205
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• 2023

Artificial Intelligence (AI), especially in the domain of text-generative services, has witnessed a significant surge, with forecasts indicating the AI-as-a-Service (AIaaS) market reaching a valuation of $55.0 Billion by 2028. This research set out to explore the quality dimensions characterizing synthetic text media software, with a focus on four key players in the industry: ChatGPT, Writesonic, Jasper, and Anyword. Drawing from a comprehensive dataset of over 4,000 reviews sourced from a software evaluation platform, the study employed the Latent Dirichlet Allocation (LDA) topic modeling technique using the Gensim library. This process resulted the data into 11 distinct topics. Subsequent analysis involved comparing these topics against established AI service quality dimensions, specifically AICSQ and AISAQUAL. Notably, the reviews predominantly emphasized dimensions like availability and efficiency, while others, such as anthropomorphism, which have been underscored in prior literature, were absent. This observation is attributed to the inherent nature of the reviews of AI services examined, which lean more towards semantic understanding rather than direct user interaction. The study acknowledges inherent limitations, mainly potential biases stemming from the singular review source and the specific nature of the reviewer demographic. Possible future research includes gauging the real-world implications of these quality dimensions on user satisfaction and to discuss deeper into how individual dimensions might impact overall ratings.