• Journal of Korean Society for Quality Management
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• v.50 no.3
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• pp.333-347
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• 2022

Purpose: The purpose of this study was intended to examine the importance and role of social capital in the local community, and empirically identify the relationships among the social capital, community spirit, resident satisfaction, and community participation of the residents of urban-rural complex areas. Methods: This study conducted a survey was conducted with residents of the urban-rural complex areas to collect data, and the data were statistically and empirically analyzed to verify the hypothesis. Results: As a result of the study, first, networks and trust as local social capital were found to have positive effects on local attachment. Second, networks and trust were found to have positive effects on social ties. Third, local attachment and social ties were found to have positive effects on resident satisfaction. Finally, community participation was found to have moderating effects on the relationship between social ties and resident satisfaction. Conclusion: Through this study, the importance and role of local social capital in urban-rural complex areas, where regional problems are highly likely to occur, were reviewed, and basic data necessary to solve the social problems at hand in urban-rural complex areas and promote continuous development were provided can be said to be the significance of this study.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.384-387
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• 2003

Most of the real world phenomena change over time. The ability to represent and to reason geographic data becomes crucial. A large amount of non-standard applications are dealing with data characterized by spatial, temporal and/or uncertainty features. Non-standard data like spatial and temporal data have an inner complex structure requiring sophisticated data representation, and their operations necessitate sophisticated and efficient algorithms. Current GIS technology is inefficient to model and to handle complex geographic phenomena, which involve space, time and uncertainty dimensions. This paper concentrates on developing a fuzzy spatio-temporal data model based on fuzzy set theory and relational data models. Fuzzy spatio-temporal operators are also provided to support dynamic query.

• Journal of Korean Society for Atmospheric Environment
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• v.20 no.4
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• pp.523-537
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• 2004

In order to raise the accuracy of meteorological data, several numerical experiments about the usefulness of data assimilation to prediction of air pollution was carried out. Used data for data assimilation are surface meteorological components observed by Automatical Weather System with high spatial density. The usage of surface data assimilation gives changes of temperature and wind fields and the change caused by the influence of land-use on meterological simulation is more sensitive at night than noon. The data quality in assimilation it also one of the important factors to predict the meteorological field precisely and through the static IOA (Index of Agreement), simulated meteorological components with selected limited surface data assimilation are agree well with observations.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2009.11a
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• pp.253-256
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• 2009

To the success of the megaproject including various and complex facilities, it is needed to establish a database system. Developments in data collection, storage and extracting technology have enabled iPMIS to manage various and complex information about cost and time. Especially, when we consider that both the go and no go decision in feasibility, Cost is an important and clear criteria in megaproject. Thus, Cost data modeling is the basis of the system and is necessary process. This research is focus on the structure and definition about CBS data which is collected from sites. We used four tools which are Function Analysis in VE, Casual loop Diagram in System Dynamics, Decision Tree in Data-mining, and Normalization in SQL to identify its cause and effect relationship on CBS data. Cost data modeling provide iPMIS with helpful guideline.

• Korea Real Estate Review
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• v.28 no.3
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• pp.37-52
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• 2018

This paper analyzed the relative efficiency of industrial complexes by type based on the DEA Model. In this analysis, the output and exports of 287 industrial complexes in 2017 were used as output variables, while the industrial land area and the number of employees in the same year were used as input variables. The results of the relative efficiency of industrial complexes by type were as follows: The relative efficiency of industrial complexes was affected mainly by type and the operating period of industrial complexes. In the types of industrial complexes, the most efficient industrial complex was the Urban, high-tech industrial complex, followed by the National industrial complex and the General industrial complex. Therefore, high-tech innovation and government support for industrial complexes would be necessary to increase the efficiency of industrial complexes. In the operation period of industrial complexes, relative efficiencies increased with longer operation periods. To maximize the regeneration effect of the old industrial complex, efficiency must be kept as a priority item of the old industrial complex regeneration project.

• Journal of the Economic Geographical Society of Korea
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• v.25 no.1
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• pp.41-59
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• 2022

Does the industrial complex of Korea leading the growth in manufacturing industry play the role of intensifying agglomeration effects? To answer this question, this study empirically analyzes the moderating effects of industrial complex on the relation between agglomeration externalities and regional productivity, which has not been covered by previous researches. To do so, analysis of panel data has been conducted using the regional level data for the period of 2010 to 2019. Empirical results are provided at different levels including the whole country, capital region and non-capital region. As a result, it was found that in non-capital region, environments to strengthen positive agglomeration externalities stemming from specialization and diversity in manufacturing through industrial complex whithin the region are built up. However, moderating effects of industrial complex is quite limited in capital region. This implies that the role of industrial complex needs to be importantly reconsidered in the perspective of maximization of agglomeration effects in manufacturing, revitalization of non-capital area and manufacturing innovation.

• Journal of Integrative Natural Science
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• v.7 no.3
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• pp.208-213
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• 2014

National-wide and/or large scale sample surveys generally use complex sample design. Traditional Pearson chi-square test is not appropriate for the categorical complex sample data. Rao-Scott suggested an adjustment method for Pearson chi-square test, which uses the average of eigenvalues of design matrix of cell probabilities. This study is to compare the efficiency of Rao-Scott first order adjusted test to Wald test for homogeneity between two populations using 2009 Gyeongnam regional education offices's customer satisfaction survey (2009 GREOCSS) data. The 2009 GREOCSS data were collected based on stratified three-stage cluster sampling with probability proportional to size. The empirical results show that the Rao-Scott adjusted test statistic using only the variances of cell probabilities is very close to the Wald test statistic, which uses the covariance matrix of cell probabilities, under the 2009 GREOCSS data based. However it is necessary to be cautious to use the Rao-Scott first order adjusted test statistic in the place of Wald test because its efficiency is decreasing as the relative variance of eigenvalues of the design matrix of cell probabilities is increasing, specially more when the number of degrees of freedom is small.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.2
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• pp.199-204
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• 2017

In this study, we present a home appliance load identification algorithm. The algorithm utilizes complex sensory data in order to improve the existing NIALM using total power usage information. We define the influence graph between the appliance status and the measured sensor data. The device identification prediction result is calculated as the weighted sum of the predicted value of the sensor data processing algorithm and the predicted value based on the total power usage. We evaluate proposed algorithm to compare appliance identification accuracy with the existing NIALM algorithm.

• Journal of Auto-vehicle Safety Association
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• v.13 no.4
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• pp.66-72
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• 2021

This study was initiated to improve of the defect investigation method using event data recorders (EDR) and suggested a solution through the regulation and system analysis of EDR. The EDR data has been used for various purposes such as the vehicle defect investigation and the traffic accident investigation. However the EDR regulation has not been updated since the implementation in 2012. "Trigger Threshold" can be used to analyze a single accident such as the frontal crash, the side crash, and the rollover. In the case of a complex accident in which a rollover accident and a crash accident occur simultaneously, it is difficult to analyze a complex accident due to current "Trigger Threshold". This study proposed the method of separating the "Trigger Threshold" into a crash accident and a rollover accident so that accidents can be analyzed using the EDR data even when a complex accident occurs. In addition, it proposed the improvement method to quickly use the data of EDR in accident reconstruction software.

• Korean Institute of Interior Design Journal
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• v.17 no.5
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• pp.80-90
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• 2008

This study analyzes interior features of indoor community facilities, focused on apartment complexes in capital area selected by 'Award of best living apartment' during $2000{\sim}2007$. First we analyze community facilities' concept, present standards of installment, present condition, then the size of each complex compared with legal standards. Also, we analyze interior features(spacial layout, furniture and furnishings, interior finishing materials, interior color), too. Research methods included both data survey and site visiting inquiry. Data survey method analyzes size of each complex using community facilities' floor plans, and site visiting inquiry analyzes type and feature of community facilities. Survey target was total 11 complexes, 7 in Seoul, 4 in Gyeonggi-do. The result is as follows. 1) It is needed to improve legal standards of installment, and to provide space with flexibility and changeability in order to allow alternation of usage purpose by resident's claim. 2) To determine size of community facilities, we must planned not only by the number of households, but by legal standards of supply according to the number of households, the rate of net area, and the recommended size per person. 3) The area of community facilities in apartment complex that residents use doesn't considered user's convenience. So it us needed to add each facility's recommendation in response to user's needs.