• Journal of the Economic Geographical Society of Korea
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• v.16 no.3
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• pp.512-527
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• 2013

This study examines the spatial distribution characteristics of financial industry which has been a necessary service for contemporary urban life. In particular, we analyze the spatial distribution patterns of money lending business which is considered with informal financial services as well as the spatial distribution patterns of banks which are representative of the institutional financial services. For the purpose, their density distribution patterns are explored by Kernel density analysis for both financial services in first. Moran's I coefficients are estimated for these two financial services to clarify the distintion in their geographical concentration patterns. The results of spatial autocorrelation analysis show stark differences between the center city and outskirts of the Seoul metropolitan area. Multivariate regression models are developed to explain the relationships between the spatial distributions of financial services and geographical variables. Finally, we discuss financial exclusion problem in the Metropolitan Seoul based on these spatial distribution characteristics.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.5
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• pp.406-411
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• 2013

Big data issue has been considered in diverse fields. Also, big data learning has been required in all areas such as engineering and social science. Statistics and machine learning algorithms are representative tools for big data learning. In this paper, we study learning tools for big data and propose an efficient methodology for big data learning via legacy data to practical application. We apply our big data learning to patent analysis, because patent is one of big data. Also, we use patent analysis result for technology forecasting. To illustrate how the proposed methodology could be applied in real domain, we will retrieve patents related to big data from patent databases in the world. Using searched patent data, we perform a case study by text mining preprocessing and multiple linear regression of statistics.

• Korean Journal of Construction Engineering and Management
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• v.19 no.1
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• pp.74-79
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• 2018

The establishment of an effective bidding system is critical to ensure both the high quality of civil infrastructure and proper earning of contractors. However, the continuous changes of a bidding system in South Korea reveal that problems such as a dumping or high price winning have not been fully resolved yet. This study thus aims at understanding the bidding behavior and strategies of contractors by analyzing a tender ratio in historical data. Multiple regression analysis is conducted to understand the effect of internal and external factors (e.g., estimated cost, combined value of construction performance evaluation) on a tender ratio. The results statistically show that such factors affect the tender ratio an individual bidder determines and have the varying effect on the tender ratio by contractors' firm size.

• Journal of Korean Society of Transportation
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• v.26 no.4
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• pp.87-97
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• 2008

The traditional trip-based modeling approach has assumed that a trip is generated for a purpose. However, the approach has not considered trips as a set of connected trips nor has it considered trip chaining. The purpose of this study is to identify general characteristics of trip chaining, and to explore relationships between trip purposes and trip chains using multivariate regression models. The data for this study come from the 2006 Seoul household travel diary survey. It is found that simple trip chains are dominant phenomena, and socio-economic characteristics such as occupation, income, age, and gender are closely related to types of trip chains. People aged less than 20, females, or high-income people are more likely to have a higher number of home-based trip chains. In addition, commute and school trips for workers and students respectively tend to be strongly associated with simple trip chains, while shopping and leisure trips for housewives tend to be related to simple trip chains.

• Journal of the Korean Society of Radiology
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• v.83 no.4
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• pp.771-775
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• 2022

Recently, doctors and researchers are establishing relationships with interested parties from companies, research institutes, health care institutions, and academic journals, instead of conducting independent medical care or research work. They may have multiple interests as an advisor or a shareholder in the relevant company. Such a situation can foster a conflict of interest when their interests influence one's decision or judgment. Conflict of interest is an extremely important issue because it can infringe the integrity of research, endanger subjects or patients, pose a risk to the public, and deteriorate public perception of science. This brief review explores the definition, examples, and solutions to conflict of interest.

• Korean Journal of Construction Engineering and Management
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• v.21 no.6
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• pp.84-94
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• 2020

Modular architecture is very important not only in the design phase but also in the construction planning phase because it affects construction methods and module sizes depending on transport equipment. There are economic risks as well as quality, as there may be defects such as internal interiors or elimination of deadlines during transportation, and structural torsion caused by rainfall and shock. However, there is a lack of objective criteria or data to refer to in determining transport equipment that has a material effect on transport. Accordingly, there is no decision model to determine the optimum transportation equipment for each construction site. Therefore, it is necessary to develop a decision support model that can be compared to the review of transport equipment selection factors. The purpose of this study is to propose the transport equipment impact factors and decision support models for systematic review and objective decision making of each construction plan in the construction of small and medium-sized modulators. The decision model proposed in this study can be used as basic data for transport studies, ensuring objectivity and transparency in the equipment selection process.

• The Korean Journal of Applied Statistics
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• v.22 no.6
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• pp.1239-1247
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• 2009

Study the gene about economical characteristic of human disease or domestic animal is a matter of grave interest, preserve and elevation of gene of Korea cattle is key subject. Studies have been done on the gene of Korea cattle using EST based SNP map, but it is based on statistical model, therefore there are difference between real position and statistical position. These problems are solved using both EST_based SNP map and Gene on sequence by Lee et al. (2009b). We have used multifactor dimensionality reduction(MDR) method to study interaction effect of statistical model in general. But MDR method cannot be applied in all cases. It can be applied to the only case-control data. So, method is suggested E-MDR method using CART algorithm. Also we identified interaction effects of single nucleotide polymorphisms(SNPs) responsible for average daily gain(ADG) and marbling score(MS) using E-MDR method.

• Korean small business review
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• v.43 no.1
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• pp.107-129
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• 2021

Inclusive business is a social business that is promoted with the aim of supporting the economic independence and quality of life of poor people in developing countries. Inclusive business is emerging as a new development cooperation method that can lead to development effects such as income generation and economic independence by engaging the poor, traditionally recognized as 'the target of aid' in terms of development cooperation, in market-based economic activities. This study considered how this inclusive business overcomes various barriers in the market for the poor in developing countries and generates social values and economic returns. To this end, based on previous studies, an analytical framework was established to analyze inclusive business models and business types. And based on the multiple case study method, 17 cases of inclusive business of social enterprises were selected to analyze the characteristics of their business models and the types of business. Through this study, characteristics of value proposition mechanisms, value creation mechanisms, and value securing mechanisms of inclusive business based on public-private cooperation were derived. Also, how these inclusive businesses create social and economic values for the poor were analyzed. The findings present theoretical and practical implications for an inclusive business model.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.2
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• pp.325-331
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• 2017

Due to the climate change, natural disaster has been occurred more frequently and the number of snow disasters has been also increased. Therefore, many researches have been conducted to predict the amount of snow damages and to reduce snow damages. In this study, snow damages over last 21 years on the Natural Disaster Report were analyzed. As a result, Chungcheong-do, Jeolla-do, and Gangwon-do have the highest number of snow disasters. The multiple linear regression models were developed using the snow damage data of these three provinces. Daily fresh snow depth, daily maximum, minimum, and average temperatures, and relative humidity were considered as possible inputs for climate factors. Inputs for socio-economic factors were regional area, greenhouse area, farming population, and farming population over 60. Different regression models were developed based on the daily maximum snow depth. As results, the model efficiency considering all damage (including low snow depth) data was very low, however, the model only using the high snow depth (more than 25 cm) has more than 70% of fitness. It is because that, when the snow depth is high, the snow damage is mostly caused by the snow load itself. It is suggested that the 25 cm of snow depth could be used as the snow damage threshold based on this analysis.

• The Journal of the Korea Contents Association
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• v.10 no.10
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• pp.440-450
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• 2010

This study was an analysis of sport psychological application for the kinesthetic gifted children's selection and upbringing in Pusan University's center for kinesthetic gifted children from 2009.7 to 2010.2. The 60(athletics: 40, swimming: 10, gymnastics: 10) of kinesthetic gifted children were selected among the first, second and third year students from Pusan, Ulsan and Kyungsang-namdo without distinction of sex. We progressed summer and winter camp during vacation, and managed a special training program according to exercise items on every Saturday. We attempted experimental a field application, and obtained the following implications. First, the first and second year students were possible to test psychological measurement with supplementary explanation, and in the case of third grade, it was enough possible without any supplementary explanation. Second, multi-intelligence test was efficient as the method to check kinesthetic gifted children's intelligence and useful as the basic data for counseling. Third, the character types of kinesthetic gifted children were appeared preferring outgoing, intuition and emotions. Forth, with the FAIR concentration, we confirmed that the center's program effected positively on improving concentration. Fifth, we found the potential that the physical task commitment questionnaire and the exercise activity self-administer questionnair would be used as official psychological measurement tool after the review process of additional validity and reliability.