• The Research Journal of the Costume Culture
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• v.7 no.6
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• pp.170-181
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• 1999

The purpose of this study is to suggest the possibility of futurism as original design pursuing newness in approaching 21C by studying how futurism having a great effect on fashion as innovatory ideology in early 20C did became paradigm in 20C fashion and the common peculiarity of the dress and its ornaments in this time before 21C. The Space Age Fashion and Techno-Cyber Fashion are representative futurism fashion of 20C. The common inner inclination in both Space Age Fashion and Techno-Cyber fashion are ; First, a future-oriented character. Second, a surrealism character, Third, an anti-cultural character. The greatest peculiarity in the common outer shape in both Space Age Fashion and Techno-Cyber Fashion is material. First, a innovatory choice. Second, an active motion. Third, a diverse effects. Future dress and its ornaments of 21C may be changed greatly by the development of technique, and this fact supports the forecast that the change of paradigm resulted from the development of science may have an effect on future dress and its ornaments as well as modern one. The paradigm change of futurism fashion would be continued, and its influence would work as main source shaping the form of design in 21C.

• Journal of Korean Medical classics
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• v.26 no.1
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• pp.85-98
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• 2013

Objectives : Final assessment of realized on forecasting studies of the literature sector on traditional Korean medicine (2000-2010) revealed results as follows. Methods : We investigated the related peer-reviewed papers and research project reports through Oriental Medicine Advanced Searching Integrated System(OASIS) of Korea Institute of Oriental Medicine(KIOM) and several publishers. Results : Of total five projects, two were realized and three were partially done. The projects 'It wil be standardized by establishing the concept of traditional Korean medical terms' and 'CDs containing traditional medicine books from China, Japan and Korea wiil be released' were decided to be realized. In addition to those, the projects 'Systematic database will be build up for TKM books', 'translation and annotation versions on TKM old books will be completed', and 'A wide range of literature related to traditional medicine of each Asian countries' were concluded to be partially realized. Five projects on predicting TKM in the year 2006-2007 analyzed in 1996 were evaluated as realized or partially realized. Likewise, the five predictions should be reviewed whether it will be necessary in the future after assessment on their realization. Conclusion : Furthermore, it should be studies if the new projects are needed for the future in addition to the existing challenges.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.11
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• pp.1655-1664
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• 2013

Recently, it becomes essential to forecast the future and identify emerging technologies in order to improve R&D efficiency and gain a competitive advantage under rapidly changing environment of science and technology. Therefore this research aims to identify the future and emerging technologies especially for the industry and applied it to list top ten emerging technologies. In this study, we identify research fronts across all areas of science and technology through verifying and comparing the 2008 and the 2012 surge in research activities. Finally we detect rapidly increasing 10 promising technology areas. This research results are expected to provide valuable information to support stragegic and policy decision making.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.11a
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• pp.266-266
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• 2019

Marine accidents are increasing year by year, and various accidents occur such as engine failure, collision, stranding, and fire. These marine accidents present a risk of large casualties. It is important to prevent accidents beforehand. In this study, we propose a modeling to predict the occurrence of marine accidents by applying the Markov Chain Process that can predict the future based on past data. Applying the proposed modeling, the probability of future marine accidents was calculated and compared with the actual frequency. Through this, a probabilistic model was proposed to prepare a prediction system for marine accidents, and it is expected to contribute to predicting various marine accidents.

• Journal of Korean Society of Rural Planning
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• v.21 no.2
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• pp.33-49
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• 2015

The objective of this study was to predict land use change based on the land use change scenarios for the Hwangguji river watershed, South Korea. The land use change scenario was derived from the representative concentration pathways (RCP) 4.5 and 8.5 scenarios. The CLUE (conversion of land use and its effects) model was used to simulate the land use change. The CLUE is the modeling framework to simulate land use change considering empirically quantified relations between land use types and socioeconomic and biophysical driving factors through dynamical modeling. The Hwangguji river watershed, South Korea was selected as study area. Future land use changes in 2040, 2070, and 2100 were analyzed relative to baseline (2010) under the RCP4.5 and 8.5 scenarios. Binary logistic regressions were carried out to identify the relation between land uses and its driving factors. CN (Curve number) and impervious area based on the RCP4.5 and 8.5 scenarios were calculated and analyzed using the results of future land use changes. The land use change simulation of the RCP4.5 scenario resulted that the area of urban was forecast to increase by 12% and the area of forest was estimated to decrease by 16% between 2010 and 2100. The land use change simulation of the RCP8.5 scenario resulted that the area of urban was forecast to increase by 16% and the area of forest was estimated to decrease by 18% between 2010 and 2100. The values of Kappa and multiple resolution procedure were calculated as 0.61 and 74.03%. CN (III) and impervious area were increased by 0-1 and 0-8% from 2010 to 2100, respectively. The study findings may provide a useful tool for estimating the future land use change, which is an important factor for the future extreme flood.

• Journal of Ecology and Environment
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• v.41 no.11
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• pp.310-317
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• 2017

Background: Many studies about climate-related range shift of plants have focused on understanding the relationship between climatic factors and plant distributions. However, consideration of adaptation factors, such as dispersal and plant physiological processes, is necessary for a more accurate prediction. This study predicted the future distribution of marlberry (Ardisia japonica), a warm-adapted evergreen broadleaved shrub, under climate change in relation to the dispersal ability that is determined by elapsed time for the first seed production. Results: We introduced climate change data under four representative concentration pathway (RCP 2.6, 4.5, 6.0, and 8.5) scenarios from five different global circulation models (GCMs) to simulate the future distributions (2041~2060) of marlberry. Using these 20 different climate data, ensemble forecasts were produced by averaging the future distributions of marlberry in order to minimize the model uncertainties. Then, a dispersal-limited function was applied to the ensemble forecast in order to exam the impact of dispersal capacity on future marlberry distributions. In the dispersal-limited function, elapsed time for the first seed production and possible dispersal distances define the dispersal capacity. The results showed that the current suitable habitats of marlberry expanded toward central coast and southern inland area from the current southern and mid-eastern coast area in Korea. However, given the dispersal-limited function, this experiment showed lower expansions to the central coast area and southern inland area. Conclusions: This study well explains the importance of dispersal capacity in the prediction of future marlberry distribution and can be used as basic information in understanding the climate change effects on the future distributions of Ardisia japonica.

• Journal of the Korean Society for Library and Information Science
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• v.38 no.4
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• pp.105-123
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• 2004

This study was to predict through the trend analysis, one of the forecast technique, the future of library End Information center. In order to do that literature reviews, analysis of library's home page and specialist interview were conducted. As a result, It appeared that based on the trend analysis to predict the middle future(after 5-10 years) of library and information center. The results of this study are as follows. The first, the future information environment is represented by mobile and ubiquitous. Through this, anytime, anywhere, any device, we can be taken any media. The second, the problems of future library are technical, economic, social, ethical and legal problem. The third, unreliable factors come out in time lag, the supply speed of terminals, library services, copyrights and so on. The fourth, the future library is expanded through wireless terminal information access and use, development of mobile technique, universal ubiquitous environment and electronic information's use are extended.

• The Journal of Society for e-Business Studies
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• v.11 no.1
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• pp.69-89
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• 2006

Due to the technological developments and industrial changes , studying for the future has been attached great importance. According to the forthcoming ubiquitous computing environment or smart environment, it is necessary for a country and an enterprise to forecast the future or foresight the future technologies . Although many countries have been doing the foresight, it is difficult for the enterprise to try future foresight activity, because the foresight activity needs lots of the costs and time for good results. Also, almost methodologies used in foresight are suitable for country level foresight projects. In this research, a methodology is developed for an enterprise to use easily, and a case based on the proposed methodology is presented. The proposed foresight methodology is developed based on the traditional forecasting methods, FAR, Future Wheel, and Scenario. Especially, the methodology focused on the customers of a company.

• Journal of Korea Water Resources Association
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• v.45 no.11
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• pp.1107-1119
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• 2012

The objectives of this study are to develop the flow nomograph for real-time flood forecasting and to assess its applicability in restored Cheonggye stream. The Cheonggye stream basin has the high impermeability and short concentration time and complicated hydrological characteristics. Therefore, the flood prediction method using runoff model is ineffective due to the limit of forecast. Flow nomograph which is able to forecast flood only with rainfall information. To set the forecast criteria of flow nomograph at selected flood forecast points and calculated criterion flood water level for each point, and in order to reflect various flood events set up simulated rainfall scenario and calculated rainfall intensity and rainfall duration time for each condition of rainfall. Besides, using a rating curve, determined scope of flood discharge following criterion flood water level and using SWMM model calculated flood discharge for each forecasting point. Using rainfall information following rainfall scenario calculated above and flood discharge following criterion flood water level developed flow nomograph and evaluated it by applying it to real flood event. As a result of performing this study, the applicability of flow nomograph to the basin of Cheonggye stream appeared to be high. In the future, it is reckoned to have high applicability as a method of prediction of flood of urban stream basin like Cheonggye stream.

• The Journal of Bigdata
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• v.5 no.2
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• pp.17-27
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• 2020

District heating system supplies heat from low-cost high-efficiency heat production facilities to heat demand areas through a heat pipe network. For efficient heat supply system operation, it is important to accurately predict the heat demand within the region and optimize the heat production plan accordingly. In this study, a heat demand forecasting model is proposed considering real-time calorimeter information from local heat demands. Previous models considered ambient temperature and heat demand history data to predict future heat demands. To improve forecast accuracy, the proposed heat demand forecast model added big data from real-time calorimeters installed in the heat demands within the target region. By employing calorimeter information directly in the model, it is expected that the proposed forecast model is to reflect heat use pattern of each demand. Computational experiemtns based on the actual heat demand data shows that the forecast accuracy of the proposed model improved when the calorimeter big data is reflected.