• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.6
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• pp.405-416
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• 2019

Due to the development of information and communication technology, the production and processing speed of data is getting faster. To classify objects using machine learning, which is a field of artificial intelligence, data required for training can be easily collected due to the development of internet and geospatial information technology. In the field of geospatial information, machine learning is also being applied to classify or recognize objects using images and point clouds. In this study, the problem of manually constructing training data using existing digital map version 1.0 was improved, and the technique of classifying roads, buildings and vegetation using image and point clouds were proposed. Through experiments, it was possible to classify roads, buildings, and vegetation that could clearly distinguish colors when using true ortho-image with only RGB (Red, Green, Blue) bands. However, if the colors of the objects to be classified are similar, it was possible to identify the limitations of poor classification of the objects. To improve the limitations, random forest and support vector machine techniques were applied after band fusion of true ortho-image and normalized digital surface model, and roads, buildings, and vegetation were classified with more than 85% accuracy.

• Korean Journal of Remote Sensing
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• v.30 no.6
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• pp.777-786
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• 2014

Mt. Ontake is the second highest volcano in Japan. On 02:52 Universal Time Coordinated(UTC), 27th September 2014, Ontake volcano began on the large eruption without notice. Due to the recent eruption, 55 people were killed and around 70 people injured. Therefore, This paper performed numerical experiment to analyse damage effect of volcanic ash corresponding to Ontake volcano erupt. The forecast is based on the outputs of the HYSPLIT Model for volcanic ash. This model, which is based on the UM numerical weather prediction data. Also, a quantitative analysis of the ash dispersion area, it has been detected using satellite images from optical Communication, Ocean and Meterological Satellite-Geostationary Ocean Color Imager (COMS-GOCI) images. Then, the GOCI detected area and simulated ash dispersion area were compared and verified. As the result, the similarity showed the satisfactory result between the detected and simulated area. The concordance ratio between the numerical simulation results and the GOCI images was 38.72 % and 13.57 %, Also, the concordance ratio between the JMA results and the GOCI images was 9.05 % and 11.81 %. When the volcano eruptions, volcanic ash range of damages are wide more than other volcanic materials. Therefore, predicting ash dispersion studies are one of main way to reduce damages.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.728-739
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• 2020

Using webometric big data, this study examines the diversity of online information sources about the novel coronavirus causing the COVID-19 pandemic. Specifically, it focuses on some 28 countries where confirmed coronavirus cases occurred in February 2020. In the results, the online visibility of Australia, Canada, and Italy was the highest, based on their producing the most relevant information. There was a statistically significant correlation between the hit counts per country and the frequency of visiting the domains that act as information channels. Interestingly, Japan, China, and Singapore, which had a large number of confirmed cases at that time, were providing web data related to the novel coronavirus. Online sources were classified using an N-tuple helix model. The results showed that government agencies were the largest supplier of coronavirus information in cyberspace. Furthermore, the two-mode network technique revealed that media companies, university hospitals, and public healthcare centers had taken a positive attitude towards online circulation of coronavirus research and epidemic prevention information. However, semantic network analysis showed that health, school, home, and public had high centrality values. This means that people were concerned not only about personal prevention rules caused by the coronavirus outbreak, but also about response plans caused by life inconveniences and operational obstacles.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.4
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• pp.705-717
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• 2020

Cities in the world are rushing to develop smart cities to create a sustainable and happy city by solving many problems in cities using information and communication technologies such as big data and IoT. However, in Korea's smart cities and smart city certification systems, the focus is on platform-oriented hardware infrastructure, and the information security aspect is first considered to build and authenticate. It is a situation in which a response system for the risk of leakage of big data containing personal information is needed through policy research on the aspect of personal information protection for smart city operation. This paper analyzes the types of personal information in smart cities, problems associated with the construction and operation of smart cities, and the limitations of the current smart city law and personal information protection management system. As a solution, I would like to present a model of a personal information protection management system in the smart city field and propose a plan to strengthen personal information protection through this. Since the management system model of this paper is applied and operated in the national smart city pilot cities, demonstration cities, and CCTV integrated control centers, it is expected that citizens' personal information can be safely managed.

• KIPS Transactions on Computer and Communication Systems
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• v.3 no.5
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• pp.141-150
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• 2014

In recent years, because of the development of ubiquitous technology in healthcare research is actively progress. Especially, healthcare service area is change to home for the elderly or patients from hospital. The technology to identify residents in a home is crucial for smart home application services. However, existing researches for resident identification have several problems. In this case, residents are needed to attach of various sensors on their body. Also relating private life, it is difficult to apply to resident's environment. In this paper, we used constraint-free sensor and unconscious sensor to solve these problems and we limited using of sensor and indoor environment in the way of working economical price systems. The way of multi-resident identification using only these limited sensors, we selected elements of personal identifications and suggested the methods in giving the weight to apply these elements to systems. And we designed the SABA mechanism to tract their location and identify the residents. It mechanism can distinguish residents through the sensors located each space and can finally identify them by using the records of their behaviors occurred before. And we applied the mechanism designed for applications to approve this location tracking system. We verified to the location tracking system performance according to the scenario.

• Information Systems Review
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• v.10 no.2
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• pp.71-96
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• 2008

Interactive Video Service(IVS) is a new type of media service that enables users to interact with others in the process of casting and watching videos in a system. 'Timing flexibility', which divides IVS into real-time IVS and non-real-time IVS, is one of the significant factors of interactivity. The objective of this study is to identify critical factors of interactivity in IVS and to compare their effects in terms of timing flexibility. To achieve the objective, prior literature has been reviewed to establish a theoretical framework, and twelve active users of IVS have been interviewed to develop research model of IVS. Finally, an online survey has been conducted to verify the research model. The results indicate that Technical Factor, Communication Factor, and Contents Factor of IVS are found to be the important interaction factors in IVS; and their impacts on the intention to use IVS were found to be affected by timing flexibility. This paper ends with theoretical and practical implications of study results.

• Journal of Engineering Education Research
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• v.12 no.4
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• pp.142-149
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• 2009

This paper deals with the analysis and comparison between on the course of a conventional engineering design (typically project-based learning) and a new engineering design (introduced PBL model to conventional engineering design). The purpose of the study is to identify and prove the effect of PBL model on the course with a new teaching-learning. In the result of t-test, there were significant statistics in the creative problem solving and self-directed learning ability, but no significant statistics in the team work and communication skill ability. Also the average of factors of the problem-based strategy is higher than those of the project-based strategy. In the problem-based strategy, the team work has the most influential on the satisfactory of the course. However in the project-based strategy, the comprehension of given product has the most influential on the satisfactory. Finally, this study has proved the effect of PBL on the course engineering design.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.33 no.5
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• pp.415-426
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• 2015

Solar radiation under a clear sky is a important factor in the process by which meteorological satellite images are converted into solar radiation maps, and the quality of estimations depends on the accuracy of clear sky models. Therefore, it is important to select models appropriate to the purpose of the study and the study area. In this instance, complex models were applied using Linke turbidity, including ESRA, Dumortier, and MODTRAN, in addition to simple models such as Bourges and PdBV, which consider only the solar elevation angles. The presence of cloud was identified using the Communication, Ocean, and Meteorological Satellite and the Meteorological imager (COMS MI), and reference data were then selected. In order to calculate the accuracy of the clear sky models, the concepts of RMSE and MBE were applied. The results show that Bourges and PdBV produced low RMSE values, while PdBV had relatively steady RMSE values. Also, simple models tend to underestimate global solar irradiation during spring and early summer. Conversely, in the winter season, complex methods often overestimate irradiation. In future work, the cause of overestimation and other factors will be analyzed and the clear sky models will be adjusted in order to make them suitable for the Korean Peninsula.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.6
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• pp.103-109
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• 2017

We explored the influence of educational service quality on university image, student satisfaction, and word of mouth, as well as the causal association between university image, student satisfaction, and word of mouth. Second-order structural model testing was conducted with 274 questionnaires being used to analyze the hypotheses. The findings demonstrated, first, that educational service quality positively affected university image, student satisfaction, and word of mouth. The important sub-dimensions of educational service quality were teaching method, followed by lecture content, professor attitude, and communication through the second-order structural analysis. Second, university image positively affected student satisfaction and word of mouth. Third, student satisfaction positively affected word of mouth. Finally, for factor loading, the results of educational service quality indicated that teaching method(0.972) and lecture content(0.934) were the key factors in estimating the quality, revealing their significant and positive impact on university image, student satisfaction, and word of mouth. Thus, service providers should strengthen the teaching method and lecture content of educational service quality to enhance the university image, student satisfaction, and word of mouth of university performance from the perspective of university students.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.2
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• pp.115-123
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• 2020

This study empirically examined the effect of married women's self-awareness on the acceptance of extra-marital relationships and the mediating effects of individuals' criticism of television's drama about infidelity. The data was obtained by conducting a survey of married women (304 persons) and was analyzed based on the Structural Equal Model (SEM). The notable findings are as follows. First, the respondents are generally less receptive to extramarital relationships. Of the total respondents, 46.7% do not accept extramarital relations. 43.8% of the respondents showed an unclear position on extra-marital relationships, and about 10% of respondents showed an accepting position on extramarital affairs. This suggests that extramarital relationships can emerge as a real issue that is important for married women. Second, self-awareness does not directly affect married women's acceptance of extramarital affairs, however, 'self-awareness' proved to have a significant effect on 'acceptance to extramarital relationships' by using 'criticism' as a full mediation effect for affair-themed TV dramas. The effects of critical thinking and the judgment of married women on the content of TV dramas containing adultery has been confirmed to be a very important aspect of married women's understanding of extramarital relationships. Some practical and political implications are discussed based on this study's findings.