• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.338-344
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• 2021

Elements that threaten domestic security, such as diplomatic changes in the four major powers surrounding the Korean Peninsula and restrictions on supply and demand of parts due to COVID-19, are constantly increasing. The importance of localizing weapon systems has grown to respond proactively to the threat. As localization is not conducted evenly by the field, it is necessary to change the criteria for selecting localization targets. Establishing standards for selecting targets is difficult due to a lack of research to identify targets. This paper emphasized that the smooth supply of parts from overseas should be examined to identify targets for localization. If suppliers are not distributed evenly in the market, there is a risk of potential supply problems. CRk and HHI, representing the market structure, were proposed as indicators for evaluating the degree of smoothness quantitatively. Among them, CRk is used in Korea to check the market concentration, but there is a limit in the subjectivity of the evaluator, so it cannot be applied without a separate study on the market structure. Therefore, HHI should be applied.

• The Journal of the Korea Contents Association
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• v.18 no.12
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• pp.309-318
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• 2018

In this study, we investigated subjective perceptions of one retailer's PB products for large retailers by applying the Q methodology to examine subjective trends of consumers who purchased and experienced PB products at home. In this study, we examine how HMR-type PB products developed and released by large retailers according to the demographically changing social structure represent the meaning and subjective acceptance of PB products in a single licensee through Q methodological studies. The purpose of this paper is to propose various direction and improvement plan of food product development and release for one license of large distribution company in the future. Based on these research problems, five types of type analysis results were derived. Specifically, the first type (N = 5): Brand image trust type, the second type (N = 5): NB product preference type, the third type(N = 2): Easy cooking preference type, and fourth type (N = 2): Pursuing taste for price type and fifth type (N = 2): Quantitative pursuit for price type.

• The Journal of the Korea Contents Association
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• v.19 no.6
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• pp.441-449
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• 2019

The purpose of this study was to find out the general type of consumer perception by defining and structuring consumers' self - awareness through the Q methodological approach to the types of youth perceived by HMR. This study focuses on the recognition of HMR as a major customer of HMR, and aims to provide information that can be considered in the HMR market by identifying consumption characteristics of youth consumers in the HMR market. To do this, the respondent classifies the statement card and analyzes the Q-sort. Q-sort, which is obtained by selecting and constructing the Q-population, Q factor analysis. (N = 10): price seeking type], the second type is [(N = 10)] which pursues the purchase by trust, (N = 2): seeking convenience], and the fourth type [(N = 3): seeking the appearance of the packaging)] Each type has its own characteristics. Each subjective opinion detected through this analysis is utilized as a basis for the follow-up study of HMR and will be provided as a marketing data of the HMR market in a future research direction.

• Journal of Korea Water Resources Association
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• v.52 no.8
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• pp.531-543
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• 2019

Constructing a reliable runoff model and reducing model runtime are important in research of real-time urban flood forecasting to reduce the repetitive flood damage. Sewer networks in the major urban basin such as Seoul are vast and complex so that it is not suitable for real-time urban flood forecasting. Therefore, the rainfall-runoff model should be simplified. However, the runoff results due to the simplification of sewer networks can vary depending on the subjectivity and simplification method of the researcher and there is a significant difference especially in 2-D inundation analysis. In this study, the sewer networks in various urban basins with different numbers and distributions of sewer networks were simplified to certain criteria. The accuracy of the simplification model according to the sewer network scale is evaluated by 2-D inundation analysis. The runoff models of Gwanak, Sillim, and Dorimcheon, frequently inundated basins were simplified based on four simplification ranges due to the cumulative drainage area set as a criterion for calculating the simplification range. This study will be expected that the inundation result of simplification models estimated through the analysis can contribute to the construction of a reasonable and accurate runoff model suitable for real-time flood forecasting.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.35-42
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• 2022

The article identifies the problem of monitoring the quality of higher education in three main areas, which are comparative pedagogical systems of education. The first direction is determined by dissertation works, the second - monographs and textbooks, and the third reveals scientific periodicals. According to its internal structure, monitoring the quality of education combines important management components identified in the article (analysis, evaluation and forecasting of processes in education; a set of methods for tracking processes in education; collecting and processing information to prepare recommendations for research processes and make necessary adjustments). Depending on the objectives, three areas of monitoring are identified: informational (involves the accumulation, structuring and dissemination of information), basic (aimed at identifying new problems and threats before they are realized at the management level), problematic (clarification of patterns, processes, hazards, those problems that are known and significant from the point of view of management). According to its internal structure, monitoring the quality of education combines the following important management components: analysis, evaluation and forecasting of processes in education; a set of techniques for tracking processes in education; collection and processing of information in order to prepare recommendations for the development of the studied processes and make the necessary adjustments. One of the priorities of the higher education modernization program during the COVID-19 pandemic is distance learning, which is possible due to the existence of information and educational technologies and communication systems, especially for effective education and its monitoring in higher education. The conditions under which the effectiveness of pedagogical support of monitoring activities in the process of distance learning is achieved are highlighted. According to the results of the survey, the problems faced by higher education seekers are revealed. A survey of students was conducted, which had a certain level of subjectivity in personal assessments, but the sample was quite representative.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.5
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• pp.317-324
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• 2021

This study deals with keywords from social media on domestic portal sites related to COVID-19, which is spreading widely. The data were collected between January 20 and August 15, 2020, and were divided into three stages. The precursor period is before COVID-19 started spreading widely between January 20 and February 17, the serious period denotes the spread in Daegu between February 18 and April 20, and the stable period is the decrease in numbers of confirmed infections up to August 15. The top 50 words were extracted and clustered based on TF-IDF. As a result of the analysis, the precursor period keywords corresponded to congestion of the Situation. The frequent keywords in the serious period were Nation and Infection Route, along with instability surrounding the Treatment of COVID-19. The most common keywords in all periods were infection, mask, person, occurrence, confirmation, and information. People's emotions are becoming more positive as time goes by. Cafes and blogs share text containing writers' thoughts and subjectivity via the internet, so they are the main information-sharing spaces in the non-face-to-face era caused by COVID-19. However, since selectivity and randomness in information delivery exists, a critical view of the information produced on social media is necessary.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.340-350
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• 2021

This study was conducted by utilizing the Q research method, which is one of the qualitative analysis methods that can approach the in-depth and essential meaning of consumers' restaurant O2O service operation behavior. The purpose of this study is to classify the behavior of restaurant O2O services by type, to find out the characteristics of variables, and to suggest future improvement directions. An exploratory study was conducted using the Q-methodology to analyze the subjective perception of the restaurant O2O service behavior. To this end, positive and negative statement cards were prepared, P samples were selected, and Q-sort, which was subjected to classification, was analyzed using the PC QUANL program and Q factor analysis. As a result of the analysis, it was classified into three single types. Type 1 【(N= 7: Restaurant O2O Service Convenience Syndrome Type】, Type 2 【(N= 7): Restaurant O2O Service Benefit Pursuit Type】, Type 3 【(N= 6): Restaurant O2O Service Convenience Type】 The name of the factor was set as [Type], and it was found that each type has different characteristics. Through this analysis, the marketing strategy according to each factor detected is presented, and the point of supplementing the restaurant's O2O service and the direction of future operation. services in future studies.

• Journal of the Korean Applied Science and Technology
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• v.39 no.3
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• pp.386-396
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• 2022

This study was carried out as a descriptive correlation study to identify the knowledge and performance of CPR of nursing students who have experience in CPR education and to explore the relationship between them. Participants in this study were 204 nursing college students who were enrolled in the 4th year of nursing at two universities located in G Metropolitan City from October 18 to October 30, 2018. For the collected data, IBM SPSS Win 21.0 version Program was used. The correlation between the subject's CPR knowledge and performance was evaluated using the Pearson Correlation Coefficient. There was a positive correlation between CPR knowledge and CPR performance (r=.22, p=.01), and it was found that the higher the CPR knowledge, the higher the CPR performance. Since this study is convenient extraction of nursing students from two universities in G Metropolitan City, there may be limitations in generalizing the results of this study. It is a self-reported indirect measurement rather than a direct measurement that measures by observing, reflecting the subject's subjectivity, and there is a concern that the effect of education may not be measured objectively. Therefore, further research using a direct measurement tool of CPR performance is needed.

• Geophysics and Geophysical Exploration
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• v.25 no.4
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• pp.189-200
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• 2022

Ground subsidence on urban roads is a social issue that can lead to human and property damages. Therefore, it is crucial to detect underground cavities in advance and repair them. Underground cavity detection is mainly performed using ground penetrating radar (GPR) surveys. This process is time-consuming, as a massive amount of GPR data needs to be interpreted, and the results vary depending on the skills and subjectivity of experts. To address these problems, researchers have studied automation and quantification techniques for GPR data interpretation, and recent studies have focused on deep learning-based interpretation techniques. In this study, we described a hyperbolic event detection process based on deep learning for GPR data interpretation. To demonstrate this process, we implemented a series of algorithms introduced in the preexisting research step by step. First, a deep learning-based YOLOv3 object detection model was applied to automatically detect hyperbolic signals. Subsequently, only hyperbolic signals were extracted using the column-connection clustering (C3) algorithm. Finally, the horizontal locations of the underground cavities were determined using regression analysis. The hyperbolic event detection using the YOLOv3 object detection technique achieved 84% precision and a recall score of 92% based on AP50. The predicted horizontal locations of the four underground cavities were approximately 0.12 ~ 0.36 m away from their actual locations. Thus, we confirmed that the existing deep learning-based interpretation technique is reliable with regard to detecting the hyperbolic patterns indicating underground cavities.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.1
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• pp.213-227
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• 2022

Recently, research on social entrepreneurship, which simultaneously pursues social value creation and economic sustainability has increased rapidly. Researchers conducted several empirical studies, noting that social entrepreneurship is a major factor in improving the performance of social enterprises. However, most previous studies usually have limitations in measuring the performance of social enterprises based on the subjective perception of entrepreneurs, which implies the limitations of the common method bias. In addition, there is a lack of empirical evidence that can explain the specific process in which the personal characteristic of an entrepreneur, social entrepreneurship, affects the achievement of dual goals. Therefore, this study empirically investigates the effect of social entrepreneurship on performance increasing the objectivity of performance measurement and including blended value orientation(BVO), a characteristic of viewing social and economic performance as a single thing. The purpose of the study is to verify the effect of social entrepreneurship and BVO on the social and economic performance of social enterprises. We conducted regression analysis using the results of the perception survey of social enterprises in South Korea and objective performance data. As a result, risk-taking, a sub-factor of social entrepreneurship, had a positive effect on economic and social performance at a significant level. In addition, it was confirmed that social entrepreneurship improves BVO, and it affects social performance. Therefore, this study found that social entrepreneurship and BVO have a discriminatory effect on economic and social performance, respectively. This study is meaningful in that it attempted to overcome the common method bias as measuring subjectivity performance.