• Journal of Korean Society on Water Environment
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• v.27 no.2
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• pp.147-158
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• 2011

This study analyzed the linkage characteristics between road runoff and the nearest streams in mountain regions using a discriminant analysis. The road-to-stream linkage is an important characteristic to evaluate whether the contaminant on road surface is transported directly into the nearby channel system. This study evaluated a total of 51 drainage outlets of mountain roads near the Soyanggang Dam. The linkage between road and stream, slope and width of road, and other information necessary for the discriminant analysis have been collected by in situ investigation and by analyzing the Digital Elevation Model. Finally, as independent variables in the discriminant analysis, the contributing road representing the road characteristics (similar to the runoff from the road drainage outlet) and the distance and slope of the connecting channel between road and nearest stream were selected. Among these three, the distance was found to have the highest discriminant power, the contributing road the lowest. Using the discriminant function derived, 40 out of 51 cases (78.4%) were correctly discriminated and the remaining 11 cases (21.6%) were wrongly discriminated. Reasons of wrongly discriminated cases were mainly due to change in drainage outlet direction, excessive runoff, change in road-to-stream path, etc. This result also indicates that the road-to-stream linkage can be introduced or prohibited by exactly the same way.

• Journal of Internet of Things and Convergence
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• v.7 no.2
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• pp.1-6
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• 2021

In recent years, many people are living in a space limited by rapid global industrial development and economic growth, and rapid urbanization is underway, with the global urban population estimated to be more than 70 percent in 2050. Due to rapid urbanization, government-led smart city models are being developed and introduced to solve various urban problems such as disaster safety, air pollution, water pollution, energy shortage, disease, crime and transportation. However, since ICT technology of public housing is being developed as a type of social overhead capital project, it is necessary to develop micro-smart city projects that residents can feel by developing services such as public safety, living environment, living welfare, and energy management for public housing residents. Therefore, in this paper, the smart platform model of public housing for smart city in the era of the Fourth Industrial Revolution is planned and presented.

• Journal of Information Technology Applications and Management
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• v.28 no.3
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• pp.77-87
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• 2021

The color gray in the cinema expresses the private or public memory and oblivion in the reminiscence scenes. The aesthetic function and meaning of gray that interacts with other elements in cinematic time and space are expanded in various ways. This study was analyzed the cases in which gray was used as the main visual style by limiting the scope to Korean films. Based on the traditional cultural symbolic meaning of gray, I analyzed how it was applied and transformed in films, and interpreted the cultural-social meaning by the interaction between gray and other elements. In film history starting from monochrome, gray has been used as a visual device suitable for realizing cinematic or imaginary reality. Gray is adopted when dreams or recollections are visualized as imaginary reality, and it is used when dreamy imaginations of daydreaming are demonstrated. Gray, which reproduces the dreamlike reality of imagination, is the concrete and realistic way of expression. First, in Korean films, gray is a flashback visual device that recalls the past, and is an intermediary visual form that materializes the imaginary. In films such as Ode to My Father (2014), DongJu (2015), A Resistance(2019) and The Battle : Roar to Victory (2019), the gray of the past is a visual device for cultural memory that builds the homogeneity and identity of the group. In the era of hyper-visibility, gray in black and white images is intended to be clearly remembered by unfamiliarity rather than blurry oblivion by familiarity. Second, in genre films with disaster materials such as Train To Busan (2016) and Ashfall (2019), the grays of rain, fog, clouds, shadows and smoke highlight other elements, and the gray color causes anxiety and fear. In war films such as TaeGukGi: Brotherhood Of War (2003) and The Front Line (2011), gray shows a more intense brutality than the primary color. In sports films such as 4th Place (2015), Take Off (2009) and Forever The Moment (2007), gray expresses uncertainty and immaturity. Third, gray visualizes the historical memory of A Petal (1996), the oblivion in Oh! My Gran (2020) and Poetry (2010), and the reality of daydreaming Gagman (1988) and Dream (1990). At the boundary between imagination and reality, gray is a visual form of dreams, memories and forgetfulness.

• Journal of the Korea Convergence Society
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• v.11 no.12
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• pp.261-274
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• 2020

Research on the development and effectiveness of internet-based cognitive-behavioral therapy with a trauma focus (iCBT-T) has been actively conducted in Western societies, but these studies have just begun in Korea. The purpose of this study was to suggest practical considerations to developing and managing the iCBT-T program. After reviewing previous studies on iCBT-T, this author suggested a model of convergence and collaboration between mental health knowledge and information and communication technologies (ICT) to develop the iCBT-T program. This article outlines practical considerations, including focus and target groups of iCBT-T, intervention types of iCBT-T (open access vs. guided), number of sessions, ethical issues, professional support, and degree of user involvement. Methods to complement the limitations of internet as a medium are also proposed in the iCBT-T program. The convergence model of CBT-T and ICT is expected to promote the development of programs that can contribute to improving the mental health of users who experience traumatic events.

• Journal of Korea Water Resources Association
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• v.54 no.8
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• pp.617-628
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• 2021

Drought is a major natural disaster that causes serious social and economic losses. Local drought forecasts can provide important information for drought preparedness. In this study, we propose a new machine learning model that predicts drought by using historical drought indices and meteorological data from 10 sites from 1981 to 2020 in the southeastern part of the Korean Peninsula, Busan-Ulsan-Gyeongnam. Using Bayesian optimization techniques, a hyper-parameter-tuned Random Forest, XGBoost, and Light GBM model were constructed to predict the evaporative demand drought index on a 6-month time scale after 1-month. The model performance was compared by constructing a single site model and a regional model, respectively. In addition, the possibility of improving the model performance was examined by constructing a fine-tuned model using data from a individual site based on the regional model.

• Journal of Convergence for Information Technology
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• v.12 no.1
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• pp.22-30
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• 2022

In order to prevent chemical accidents caused by human error, a chemical accident prevention and response training program using advanced technology was developed. After designing a virtual process based on the previously built pilot plant, chemical accident response contents were developed. A part of the pilot facility was remodeled for content realization and a remote control function was given. In addition, a DCS program that can control facilities in a virtual environment was developed, and chemical process operator training (OTS) that can finally respond to virtual chemical accidents was developed in conjunction with AR. Through this, trainees can build driving skills by directly operating the device, and by responding to virtual chemical accidents, they can develop emergency response capabilities. If the next-generation OTS like this study is widely distributed in the chemical industry, it is expected to greatly contribute to the prevention of chemical accidents caused by human error.

• Journal of Korean Society of Archives and Records Management
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• v.22 no.1
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• pp.159-176
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• 2022

This study aims to develop a COVID-19 documentation strategy for university archives, which will act as a response system to infectious diseases. The study applied the phases of "documentation area definition and preliminary analysis" and "documentation strategy drafting" described in Heckman's documentation strategy model. In defining the documentation area and doing preliminary analysis, the author analyzed the cases of COVID-19 documentation projects at overseas university archives and conducted interviews with stakeholders. In drafting the documentation strategy, the author interviewed three archivists working in university archives. From these findings, the documentation strategy plan was developed and revised based on the feedback from archivists. The strategy plan covers the documentation purpose, subject/functional area, group, reference information, and major considerations. The findings of this study might be useful for figuring out ways to secure records related to COVID-19 or other infectious diseases in university archives.

• Journal of Aerospace System Engineering
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• v.16 no.5
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• pp.78-85
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• 2022

Multicopter-type unmanned aerial vehicles (UAV) are increasingly for cargo transportation to mountainous and island regions, image information acquisition in disaster areas, and emergency rescue transport. In order to successfully perform these tasks, the aircraft structure must be able to safely support the loads induced by flight conditions while ensuring the vibration and aeroelastic stability of the prop-rotor. This study introduced a structural analysis model of a 40kg payload multicopter with an engine-generator hybrid power system. The deformation and stress distribution are investigated depending on the load conditions. In addition, the vibration characteristics and aeroelastic stability of the prop-rotor were also presented to flight speed and aircraft pitch angle. The maximum thrust generated by the prop-rotor and the landing load applied to the multicopter under normal and emergency landing conditions were reviewed., It confirmed that the structure could support without failure. In addition, it confirmed that the damping characteristics of each primary locate in the constant region according to the aircraft's flight speed and the prop-rotors rotating speed.

• Journal of KIBIM
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• v.12 no.4
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• pp.104-115
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• 2022

Fine Dust in Korea has been classified as a social disaster since 2019 due to continuous increase in concentration of Particulate Matter 10(PM 10) and PM 2.5. The fine dust issue has negative physical and mental impacts, especially on vulnerable population including children and the elderly. Seoul metropolitan government have installed fine dust shelters since 2019. However, there is a lack of research that evaluates spatiotemporal distribution of these facilities. Therefore, the first aim of this study is to find the relationship between PM levels and dust scattering construction sites, or air pollutant emission sites through in depth spatial analyses. The second purpose is to analyze the spatial distribution of PM shelters in Seoul, and to evaluate the location efficiency of them. Kernel density, krigging, and network analyses were conducted, and floating population was considered instead of census data for this research. The reults of network analysis based on the road system showed that Yangcheon-gu, Songpa-gu, Seongbuk-gu, and Dobong-gu were found to need additional fine dust shelters. Also, the results from analyzing the floating population that includes children and the elderly showed that Songpa-gu, Seodaemun-gu, Gangdong-gu, Seocho-gu, and Dongdaemun-gu need more placements of find dust shelters. The results of this study are expected to provide implications for urban planners to enhance find dust shelter placement in urban areas, and vulnerable population issues would be considered in many ways.

• Journal of the Korean Society of Systems Engineering
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• v.18 no.1
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• pp.66-83
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• 2022

Artificial Intelligence (AI) is to assumed to be one of next generation technology which determine technological competitiveness and strategic advantage of a certain country. By using the patent data, this study aims to have a comparative analysis of the technological competitiveness of evolving artificial intelligence at different stages of development among the five largest intellectual property offices in the world (IP5). For the analysis data, all AI technology patent data from 1956 to 2019 were utilized according to the classification system presented in the "WIPO 2019 Technology Trend: Artificial Intelligence" report published by the World Intellectual Property Organization (WIPO) in 2019. The results shows that China has already surpassed the United States in terms of the number of patent applications in the field of artificial intelligence technology. However, in the domains of the United States, Europe, Japan, and Korea, the technology competitiveness of the United States is far ahead of China. Interestingly, the rate of increase of Korea's technology competitiveness is also very fast, and it has been shown that the technology strength is ahead of China in non-Chinese domains. The significance of this study can be found in the fact that the temporal and spatial change process of technological competitiveness of significant countries in the field of artificial intelligence technology artificial intelligence was viewed as a macro-framework using the technology index (TS) the differences were compared.