• Journal of Digital Convergence
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• v.16 no.10
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• pp.333-342
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• 2018

The objective of this study was to investigate the problem behavior and its convergent factors in out-of-school adolescents, with a focus on gender differences. This study was a secondary data analysis study using out-of-school adolescents research data at Busan women and family development institute. The study was conducted in a total of 499 out-of-school adolescents (337 males, 162 females). The type of the 8 problem behaviors (run away from home, drop out, prostitution, violence, internet game addiction, theft, drug addiction, and smoking) were identified. The collected data were analyzed with multiple logistic regression. Among the problem behaviors of the participants, internet game addiction and theft were more significantly high in male out-of-school adolescents than female out-of-school adolescents. In internet game addiction, male out-of-school adolescents were 1.90 times higher than female out-of-school adolescents (p=.008, 95% CI=1.18-3.06). In theft, male out-of-school adolescents were 1.92 times higher than female out-of-school adolescents (p=.006, 95% CI=1.21-3.03). When the social measures were provided for those adolescents, a distinguished approach is required depending on the problem behavior and gender.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.249-256
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• 2020

This study was to identify differences in mortality risk by living arrangements among older adults. We analyzed data from 3,827 older adults who took part in the 2014 Korean Longitudinal Study of Aging. Cox proportional hazards regression was used for data analysis. The significant factors associated with mortality risk in living with others were male, education level, self-rated health, limitation of instrumental activities of daily living, cognitive dysfunction, and depression. The significant factors associated with mortality risk in living alone were regular exercise, limitation of instrumental activities of daily living, and cognitive dysfunction. This study is significant in that it examined whether there are differences between mortality risk by living arrangements. According to the results of this study, nursing intervention should be developed to decrease mortality by living arrangements.

• Journal of the Korean Society for Railway
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• v.19 no.2
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• pp.187-194
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• 2016

It is necessary to determine reliability indexes of existing railway bridges prior to setting up a proper target reliability index that can be used to introduce a reliability based limit state design method to design practice. Reliability is evaluated for a six PSC-I girder railway bridge, which is one of many representative types of double-track railway bridges. The reliability assessment is carried out for an edge girder subjected to bending moment. In the assessment, the flexural resistance and the fixed-load effect were obtained using existing statistical values from previous research on the introduction of limit state design to road bridge design. On the other hand, the live-load effect was determined using statistical values obtained from field measurement for the Joong-ang corridor, on which heavy freight trains are frequently passing. The reliability assessment is performed by AFOSM(Advanced First Order Second Moment method) for the limit state equation, and a sensitivity analysis for the reliability is performed for each factor of the load and resistance effects.

• Resources Recycling
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• v.26 no.1
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• pp.11-15
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• 2017

The amount of the wood chip ash is expected to increase continuously as demand of wood chip-based heat and electricity increase. Thus, there is increased interest in wood chip ash utilization. In this study, as a program of utilization in wood chip ash, the physical and chemical properties of wood chip ashes generated from a combined heat and power plant were investigated. The chemical analysis showed that the main contents of wood chip ash are composed of silica, alumina and alkali. A possibility of reuse as secondary cementitious materials was investigated by the analysis of strength activity index, and compared with coal ash. The highest value for Strength activity index of wood chip fly ash was 78% at 90 days curing time. This result revealed that wood chip fly ash has the potential to be utilized as the admixture for cementitious material.

• The KIPS Transactions:PartD
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• v.15D no.5
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• pp.681-690
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• 2008

In proteomics research, the identification of differentially expressed proteins observed under specific conditions is one of key issues. There are several ways to detect the change of a specific protein's expression level such as statistical analysis and graphical visualization. However, it is quiet difficult to handle the spot information of an individual protein manually by these methods, because there are a considerable number of proteins in a tissue sample. In this paper, using database and data mining techniques, the application plan of OLAP data cube and Discovery-driven exploration is proposed. By using data cubes, it is possible to analyze the relationship between proteins and relevant clinical information as well as analyzing the differentially expressed proteins by disease. We propose the measure and exception indicators which are suitable to analyzing protein expression level changes are proposed. In addition, we proposed the reducing method of calculating InExp in Discovery-driven exploration. We also evaluate the utility and effectiveness of the data cube and Discovery-driven exploration in the lung cancer 2-DE gel image.

• Journal of the Korean GEO-environmental Society
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• v.17 no.5
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• pp.17-25
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• 2016

The rocks exposed on the surface undergo expedite weathering process due to the effects of climatic process, etc. and the weathering process changes the properties of minerals, thereby lowering the stability of rocks. Therefore, it is important to examine the composition of minerals in order to investigate the resistance of rocks against weathering, which is performed by weathering sensitivity analysis. And microscopic flaking test was performed for the bored samples in this study and the composition of minerals that are vulnerable to weathering was measured through mode analysis. The lithological and mineralogical weathering factors were evaluated through this process. Furthermore, the degree of progress of weathering was identified by quantitatively measuring the actual mineral composition of rocks through X-Ray diffraction analysis and identifying the secondary minerals through observation with a scanning electron microscope. This analyzing the weathering sensitivity was analyzed to be capable of determining appropriate indicators that can determine weather resistance and predicting the weathering grade using chemical weathering speed.

• Korean Journal of Microbiology
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• v.55 no.3
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• pp.303-305
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• 2019

An actinobacterial strain designated Gordonia sp. MMS17-SY073 (=KCTC 49257) was isolated from a coastal soil of an island, and its complete genome was analyzed. A single contig consisting of 5,962,176 bp with the G + C content of 67.4% was obtained, and the annotation resulted in 5,201 protein-coding genes, 6 rRNA genes and 45 tRNA genes. Strain MMS17-SY073 was closest to the type strain of Gordonia soli based on the 16S rRNA gene sequence comparison, sharing 98.5% sequence similarity. A number of biosynthetic gene clusters for secondary metabolites, non-ribosomal peptide synthetase types in particular, could be identified from the genome.

• The Korean Journal of Applied Statistics
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• v.35 no.2
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• pp.177-188
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• 2022

The support vector machine (SVM) has been successfully applied to various classification areas with a high level of classification accuracy. However, it is infeasible to use the SVM in analyzing massive data because of its significant computational problems. When analyzing imbalanced data with different class sizes, furthermore, the classification accuracy of SVM in minority class may drop significantly because its classifier could be biased toward the majority class. To overcome such a problem, we propose the DOC-SVM method, which uses divide-oversampling and conquers techniques. The proposed DOC-SVM divides the majority class into a few subsets and applies an oversampling technique to the minority class in order to produce the balanced subsets. And then the DOC-SVM obtains the final classifier by aggregating all SVM classifiers obtained from the balanced subsets. Simulation studies are presented to demonstrate the satisfactory performance of the proposed method.

• Korean Association of Arts Management
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• no.60
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• pp.37-68
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• 2021

The purpose of this study is to understand the attractiveness of the vinyl record industry and derive implications by analyzing the structure of the industry. A few previous studies pay attention to the rapidly increasing demand for vinyl records, especially from a consumer point of view, and unlike the analysis of the consumption and vinyl record industry, this study focuses on the subjects of production and distribution of vinyl records. This paper collects data through in-depth interviews with experts in the vinyl record industry and various secondary data, which is analyzed by Porter(1980/2008)'s Five Forces Model. According to the analysis, the attractiveness of the vinyl record industry is positive in terms of the appropriate competitive strength in the industry and weak bargaining power of buyers, but negative in terms of the strong bargaining power of new entrants and substitutes. The outcome of this research has significance as basic data implying that companies that are trying to enter the vinyl record industry need to make strategic decisions.

• Journal of Industrial Convergence
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• v.21 no.6
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• pp.91-97
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• 2023

This study is a descriptive research study with secondary analysis of data from the 8th National Health and Nutrition Examination Survey. The purpose of this study was to analyze the prevalence and awareness of diabetes in 300 Korean adults aged 30 to 49 with diabetes, and to identify the factors influencing it. For data analysis, the composite sample frequency and percentage, χ²-test, and logistic regression analysis were performed using the SPSS 25.0 program. Among the diabetic patients, 171 patients (57.0%) recognized that they had diabetes, and the factors influencing cognition were gender, education level, BMI, subjective health status, cardiovascular disease, and paternal and maternal family history. Based on the results of this study, it can be used as basic data to establish policies and intervention programs that reduce the prevalence of diabetes in relatively young people aged 30 to 49 years and increase awareness among those with diabetes in Korea.