• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.321-330
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• 2020

The defense industry has recently been focused on boosting exports of weapon systems. Investigation and selection of promising export items for SMEs in the defense industry is essential to establish a defense promotion policy. This study presents a model for selecting promising export items applicable to the defense industry through case studies, such as criteria for selecting promising items from other organizations. The evaluation index is largely composed of three categories, competitiveness of the item itself, capabilities of the exporter, and ripple effect of the export, and consists of eight detailed evaluation indicators. The relative weight between categories was calculated through the AHP method. In the selection model, if a certain score is exceeded, it is then possible to adopt a promising item or verify validity. In particular, promising items were selected by applying this methodology to those involved in the defense industry. Using the model presented in this study, it is expected that domestic small and medium-sized enterprises with relatively high export competitiveness and excellent quality items will be given priority, and more effective and intensive export support will be possible.

• Korean Journal of Remote Sensing
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• v.36 no.6_1
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• pp.1367-1377
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• 2020

The purpose of this study is to assess the seismic vulnerability of buildings in Gyeongju city starting with the earthquake that occurred in the city on September 12, 2016, and produce a seismic vulnerability map. 11 influence factors related to geotechnical, physical, and structural indicators were selected to assess the seismic vulnerability, and these were applied as independent variables. For a dependent variable, location data of the buildings that were actually damaged in the 9.12 Gyeongju Earthquake was used. The assessment model was constructed based on random forest (RF) as a mechanic study method and support vector machine (SVM), and the training and test dataset were randomly selected with a ratio of 70:30. For accuracy verification, the receiver operating characteristic (ROC) curve was used to select an optimum model, and the accuracy of each model appeared to be 1.000 for RF and 0.998 for SVM, respectively. In addition, the prediction accuracy was shown as 0.947 and 0.926 for RF and SVM, respectively. The prediction values of the entire buildings in Gyeongju were derived on the basis of the RF model, and these were graded and used to produce the seismic vulnerability map. As a result of reviewing the distribution of building classes as an administrative unit, Hwangnam, Wolseong, Seondo, and Naenam turned out to be highly vulnerable regions, and Yangbuk, Gangdong, Yangnam, and Gampo turned out to be relatively safer regions.

• The Journal of the Korea Contents Association
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• v.15 no.3
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• pp.114-122
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• 2015

This study aims to analyze the satisfaction of seniors living in Cheonan City downtown as to their residential environment. Also, this study intends to identify which factors should be improved first to make downtown a favorable residential area. To that end, 'social indicators of Chungnam' was used. The collected data was analyzed through a statistical analysis method using ANOVA (analysis of variance) and a cluster analysis. It led to the following findings. First, 6.9% of the elderly residents expressed their wish to move from their downtown residence. Thus, the majority of the residents do not want to move. Second, the satisfaction of the elderly residents in their downtown residence scored 6.09. The score is higher than those of other regions. Thus, it is highly possible to develop downtown into a senior-friendly area. Third, as for satisfaction in downtown residence, it was higher among the following groups: men; those with high school or higher level of education; those earning at least a million won a month; family of one generation. Fourth, satisfaction in the following factors was relatively low: culture and education; interaction with neighbors and trust in them; car accidents. Thus, those factors should be improved for downtown residents. Above all, community-faced facilities should be expanded to increase exchanges with neighbors and trust in them. To attract women dissatisfied with downtown residence. it is imperative to increase daily safety by reducing car accidents and crime.

• Science of Emotion and Sensibility
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• v.22 no.1
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• pp.45-54
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• 2019

Empathy has been observed to be pivotal in enhancing both social relations and the efficiency of task performance. Empathetic interaction has been shown to begin with individuals mirroring each other's facial expressions, vocal tone, actions, and so on. The internal responses of the cardiovascular activity of people engaged in empathetic interaction are also known to be synchronized. This study attempted to objectively and quantitatively define the rules of empathy with regard to the synchronization of cardiac rhythm between persons. Seventy-four subjects participated in the investigation and were paired to imitate the facial expressions of their partner. An electrocardiogram (ECG) measurement was taken as the participants conducted the task. Quantitative indicators were extracted from the heart rhythm pattern (HRP) and the heart rhythm coherence (HRC) to determine the difference of synchronization of heart rhythms between two individuals as they pertained to empathy. Statistical significance was confirmed by an independent sample t-test. The HRP and HRC correlation(r) between persons increased significantly with empathy in comparison to an interaction that was not empathetic. A difference of the standard deviation of NN intervals (SDNN) and the dominant peak frequency decreased. Therefore, significant parameters to evaluate empathy have been proposed through a step-wise discrimination analysis. Empathic interactions may thus be managed and monitored for high quality social interaction and communication.

• Korean Journal of Social Welfare
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• v.38
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• pp.309-335
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• 1999

The purpose of this study is to classify welfare regimes using the method of qualitative comparative analysis(QCA). By formalizing the logic of qualitative analysis, QCA makes it possible to bring the logic and empirical intensity of qualitative approaches to studies that normally call for the use of quantitative methods. In QCA each case is conceived holistically, as a configuration of conditions, not a collection of scores on variables. Major findings of this study are as follows. Firstly, major explanations for welfare state differences are partly supported. Indicators relevant to each explanation can appear to be important only if other causal conditions are considered. For example, in the interventionist welfare states, high GDP per capita must be combined with the weakness of the Right and ethnic homogeneity. Otherwise, it can't discern interventionist from liberalist welfare states. Secondly, the equation for the interventionist welfare states includes multiple causal conjunctures. Many studies of welfare state find the same results. The third main finding is that IDV(individualism index) which is proxy for the weakness of informal network matters. Combining with other variables, IDV seems to be important in explaining the emergence of Confucian welfare states.

• Journal of Dairy Science and Biotechnology
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• v.34 no.3
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• pp.187-191
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• 2016

Biogenic amines have been used as chemical indicators of fermented foods. So far, several chromatography methods have been developed to detect biogenic amines in foods. However, few methods have identified these compound in domestic cheese. We analyzed the biogenic amines (histamine dihydrochloride, tyramine hydrochloride, ${\beta}$-phenylethylamine hydrochloride, putrescine dihydrochloride, cadaverine, spermidine, tryptamine hydrochloride, ethanolamine hydrochloride and butylamine) in cheese by using HPLC. The calibration curves of the biogenic amines were found to be linear over the concentration range of 10-50 ppm with a correlation coefficient of above 0.99. The limit of detection (LOD) and limit of quantitation (LOQ) of the biogenic amines in the given order were 3.7 and 11.3 ppm, 3.4 and 10.4ppm, 3.4 and 10.3 ppm, 4.0 and 12.2 ppm, 3.4 and 10.4 ppm, 3.4 and 10.5 ppm, 3.5 and 10.7 ppm, 4.1 and 12.5 ppm, and 3.4 and 10.4 ppm, respectively. Recovery rates of the biogenic amines in the given order were 112, 104, 93, 108, 91, 102, 101, and 92%, respectively. The findings of this study suggest that HPLC is a suitable method for the determination of biogenic amines, thereby indicating its potential application in the quality control of aging cheese.

• Smart Media Journal
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• v.10 no.1
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• pp.47-54
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• 2021

Web accessibility is presented as a legal obligation to ensure users can access and use information and functions equally in the domestic public website sector. This study introduces the researcher network based on social network analysis (SNA) in order to show the citation relationship by identifying the network among researches in the field of web accessibility. Based on the analysis of the relationship and citation of academic researchers in the domestic web accessibility field, confirm the process of creating a research network. It is a visualization element that shows the citation relationship as well as the relationship and citation form between the studies as a network. Through the process of creating the network, and it can be confirmed and can be usefully used for future academic research network analysis. It is meaningful in terms of analysis for about 17 years from January 2000 to March 2017, a total of 50 papers published in journals registered by the National Research Foundation of Korea and candidate journals. By combining the evaluation metrics for each researcher, evaluation target, evaluation method, and evaluation result for web accessibility, and applying weights, identify the research direction and evaluation research trends in Korea's web accessibility field related to the relevant field and web accessibility evaluation research trends, and related to the researcher trend network.

• Korean Journal of Construction Engineering and Management
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• v.23 no.3
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• pp.74-82
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• 2022

With the introduction of proptech, this study aims to find out the changes and necessity of introducing blockchain technology, one of the most popular technologies, in real estate electronic transactions. In addition, it is intended to develop evaluation indicators that classify newly created values within real estate electronic transactions and calculate the relative importance of each value area through technology application. To this end, the value that can be created when applying blockchain technology to real estate electronic transactions was classified according to the hierarchy, and considering that the evaluation criteria are complex and the importance can be measured differently depending on various factors, an analysis was conducted according to the AHP method for experts in practical and academic fields. As a result of the analysis, general value showed the highest importance in the first dimension, and digitalization of real estate information showed the highest importance in the second dimension.

• Journal of the Korean Wood Science and Technology
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• v.48 no.6
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• pp.917-935
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• 2020

In this study, an automated sensor to measure forest fire surface fuel moistures was developed to predict changes in the moisture content and risk of forest fire surface fuel, which was indicators of forest fire occurrence and spread risk. This measurement sensor was a method of automatically calculating the moisture content of forest fire surface fuel by electric resistance. The proxy of forest fire surface fuel used in this sensor is pine (50 cm long, 1.5 cm in diameter), and the relationship between moisture content and electrical resistance, R(R:Electrical resistance)=2E(E:Exponent of 10)+13X(X:Moisture content)-9.705(R²=0.947) was developed. In addition, using this, the software and case of the automated measurement sensor for forest fire surface fuel moisture were designed to produce a prototype, and the suitability (R²=0.824) was confirmed by performing field monitoring verification in the forest. The results of this study would contribute to develop technologies that can predict the occurrence, spread and intensity of forest fires, and are expected to be used as basic data for advanced forest fire risk forecasting technologies.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.175-182
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• 2021

Focusing on the recently announced "KOSPI 200 ESG Index," this study intends to examine whether the "KOSPI 200 ESG Index" has any relevance to stock prices. Specifically, it was empirically analyzed whether companies included in the KOSPI 200 ESG index showed average abnormal return and cumulative average abnormal return of stock prices due to incorporation into the index. As for the research method, the case study was conducted using the return by the market model using the coefficient estimated by the OLS for the normal expected return. The study results are summarized as follows. First, the initial incorporation of a company into the KOSPI 200 ESG index showed significant positive(+) average abnormal return and cumulative average abnormal return. Second, the incorporation of a company into the KOSPI 200 ESG index showed significant positive(+) average abnormal return and cumulative average abnormal return. Through this study, it was confirmed that investors in the market are aware of ESG indicators as non-financial information, not just financial information. In addition, it can be said that the contribution of this study to the fact that investors perceive ESG index as information for investment. This study differs in that it uses the latest ESG index, but at the same time, it has limitations in that the study period is short and the study sample is limited.