• Korean Journal of Social Welfare Studies
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• v.42 no.4
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• pp.413-443
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• 2011

The objectives of this study were to survey the level of social capital owned by self-support program participants, and to analyze the direct and indirect effects of social capital on their quality of life. Particularly because an individual's life is highly likely to be influenced by multiple aspects including human relation, this study purposed to determine the mediating effect of job satisfaction in the relation between social capital and the quality of life. The survey used a structured questionnaire, and in the contents of the questionnaire, the quality of life was selected as a dependent variable, social capital as an independent variable, and the job satisfaction as a mediating variable affecting the relation between social capital and the quality of life. The results of this study were as follows. First, as to the relation between self-support program participants' social capital and the quality of life, the network level and the normative level hand an important effect on the quality of life. Second, as to the relation between self-support program participants' social capital and job satisfaction, social capital had a negative effect on job satisfaction. Third, in the relation between self-support program participants' social capital and their quality of life, the mediating effect of job satisfaction was positive and this supports the spillover model among hypotheses on the relation between job satisfaction and the quality of life.

• International Area Studies Review
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• v.13 no.1
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• pp.55-79
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• 2009

This papers studies the causalities and effects on the relationship between international trade and economic growth in China for the period of 1950-2007, using the unit root test, the Granger causality test, the cointegration test, VAR model, and VECM. The results of this study are as follows: Firstly, in the unit root test, I found that each time series was unstable one that has unit root. Secondly, in the Granger Causality test, this papers shows that variable dlexp and dlinp influence on dlgdp and dlgdd, while bilateral causality relation between dlexp and dlgdp, dlexp and dlgdd for the whole period, for the whole period, pre-reform period and post-reform period. Thirdly, there is no cointegraion relation between lgdp(or dlgdp, lgdd, dlgdd) and lexp, linp for lgdd-limp in the whole period, and pre-reform period, while no cointegration relation for the post-reform period. Finally, in the impulse-response test, it was proved that lgdp represents (-) correlation with lexp for the whole period. Thorough the variance decomposition test, it was proved that linp(or dlinp) is the most affected variable of the each data and relation between linp(or dlinp) and lexp(or dlexp) has become bigger recently.

• Korean Journal of Legislative Studies
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• v.25 no.3
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• pp.69-96
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• 2019

This paper is written to suggest several recommendations for South Korea to deter and defend North Korean nuclear threat, when North Korea does not seem to give up its nuclear weapons and the US's extended deterrence including the nuclear umbrella could remain uncertain. For this purpose, it explains key options regarding nuclear deterrence and defense by non-nuclear weapon state. It evaluates the current status of South Korean non-nuclear preparedness against North Korean nuclear threat and provides some recommendations to improve the preparedness. As a result, this paper concluded that South Korean non-nuclear preparedness against North Korean nuclear threat was not that reliable. The preparedness has weakened since the South Korean effort to denuclearize North Korea through negotiations in 2018. In this sense, South Korea could have serious problems in protecting its people from North Korean nuclear threat if the US promise of extended deterrence is not implemented. South Korea should focus on its decapitation operation to North Korean highest leaders in case of North Korean nuclear attack based on a minimal deterrence concept. It should be prepared to conduct preventive strikes instead of preemptive strikes due to North Korea's development of solid fuel ballistic missiles. It should integrate its Ballistic Missile Defense with that of the US forces in Korea. South Korea should make a sincere effort for nuclear civil defense including construction of nuclear shelters.

• Journal of Practical Agriculture & Fisheries Research
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• v.19 no.1
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• pp.99-108
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• 2017

It is Lespedeza cuneata. G. don used as a remedy for cough, asthma, premature ejaculation and so on, though it has been used for a long time. In order to investigate the possibility of using Lespedeza cuneata. G. don as a raw material for functional food, we examined useful substances through analysis. In the study, 124 useful substances were analyzed and 84 of them were found to be functional. In 6 species, 6 of them were found to be functional and 5 of them were functional. In the present study, the other useful substance, D-pinitol, also confirmed its functionality. Potassium isolespedezate and Potassium lespedezate act as antibiotics, Trifolin acts as an antibiotic and hepatoprotectant, and Vitexin acts as a hepatoprotectant. D-pinitol has shown excellent efficacy in patients with prediabetic and insulin-resistant diabetes. As it contains a large amount of useful substances, it can be utilized as a highly functional food.

• Information Systems Review
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• v.25 no.4
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• pp.1-25
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• 2023

The online fitness industry has experienced rapid growth in recent years, overcoming physical constraints of conventional fitness programs. The COVID-19 pandemic accelerated the trend as social distancing policies were implemented. However, as financial distress of offline gyms worsened, the Korean government implemented the "With-COVID19" policy, which lifted most of the restrictions and regulations on offline gyms, on November 1st, 2021, raising concerns about the loss of drivers for the growth of the online fitness industry. Using regression discontinuity design in time (RDDiT), this study investigates the causal effect of the "With-COVID19" policy on the viewer engagement of online fitness content. Contrary to expectations that viewer engagement would decrease, it increased by 21%. Additionally, subgroup analysis based on opportunity cost reveals heterogeneity, and the high-cost group experienced a greater increase of 32% compared to low-cost group. Based on these findings, the study provides possible mechanisms of the increase, theoretical contributions on using RDDiT in the Information Systems, and practical implications for guidelines on managing online fitness platforms and content in the era of digital transformation.

• Journal of Venture Innovation
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• v.6 no.1
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• pp.1-16
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• 2023

Due to the progress of the 4th industrial revolution and the COVID-19 pandemic, the subscription economy was rapidly expanding. In particular, the subscription economy was expected to expand further as the servicing of products(servitization) rapidly progresses. In this study, we tried to empirically analyze the factors that promote and hinder the spread of the subscription economy from the consumer's point of view. To this end, based on the Service Profit Chain (SPC) model, which identified mechanisms leading from quality to satisfaction, loyalty, and performance, a research model was established by combining the framework of the Value-based Adoption Model (VAM), which covers both benefit and sacrifice factors. Usefulness and convenience were derived as benefit factors, and perceived risks and perceived costs were derived as sacrifice factors. The effects of these factors on satisfaction and continuous use intention were analyzed. For empirical analysis, a survey was conducted targeting people who have experience in subscription economy, and 300 effective samples were analyzed. The analysis was performed as a structural equation model using AMOS 24. As a result of the empirical study, it was found that convenience had a significant positive (+) effect on satisfaction. Perceived risk and perceived cost were analyzed to have a negative (-) effect on satisfaction. On the other hand, usefulness was found to have no significant effect on satisfaction. The influences affecting satisfaction were in the order of perceived cost, convenience, and perceived risk. Satisfaction was found to have a significant positive (+) effect on continuous use intention. The results of this study were considered meaningful in that they broadened the horizons of research by combining existing validated models at the academic level and testing their validity, and found that perceived cost was still an important factor at the practical level.

• Advanced Industrial SCIence
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• v.2 no.4
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• pp.1-10
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• 2023

The purpose of this study is to verify the mediating effects of job insecurity on the relationship between COVID-19 risk perception and mental health in hotel workers. For this study, a sample of 633 hotel workers completed the questionnaires: COVID-19 risk perception, job insecurity, depression, anxiety, somatic symptoms. The data was analyzed by SPSS 25.0 program and PROCESS macro program. The main results can be summarized as follows. 1. The risk group of the job insecurity had a significantly higher level of mental health(depression, anxiety, somatic symptoms) compared with the normal group. 2. COVID-19 risk perception showed a significant effects on job insecurity and mental health(depression, anxiety, somatic symptoms). 3. The results showed a partial mediating effects of job insecurity on the relationship between COVID-19 risk perception and mental health(depression, anxiety, somatic symptoms). On the basis of the results, we discuss that hotel workers have the vulnerability of mental health in disaster situations such as COVID-19 pandemic, and that mental health risk increases due to the job insecurity caused by COVID-19. we propose the need to support human resource management measures and psychological programs for hotel workers.

• Journal of the Korea institute for structural maintenance and inspection
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• v.28 no.1
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• pp.32-38
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• 2024

In the case of apartment building, it is difficult to conduct non-destructive testing due to the actual presence of people and the dust and noise generated during the core test, so inspections are performed each time in the common area and underground parking lot, and the tests are conducted on the finishing material rather than on the concrete surface due to low-cost orders. As the process progresses, poor inspection is inevitable. In addition, the proposed formulas for strength estimation have large fluctuations depending on the differences in test conditions and environments, and even if they show the same measured value, the deviation between each proposed formula is large, making it difficult to accurately estimate strength, making it difficult to use. Accordingly, we would like to select finishing materials mainly used in apartment complexes and compare and evaluate the compressive strength of concrete according to the type of finishing material by using non-destructive testing methods directly on the finishing materials without removing the finishing materials. The reliability evaluation results of the estimated compressive strength of concrete using the ultrasonic velocity method according to the type of finishing material are as follows. The error rate between the estimated compressive strength and compressive strength derived through the ultrasonic velocity method shows a wide range of variation, ranging from 21.83% to 58.89%. The effect of the presence or absence of finishing materials on the estimated compressive strength was found to be insignificant. Accordingly, it is necessary to select more types of finishing materials and study ultrasonic velocity methods according to the presence or absence of finishing materials, and to study estimation techniques that can increase reliability.

• The Journal of the Acoustical Society of Korea
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• v.27 no.5
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• pp.229-238
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• 2008

Audio tuning improves not only the sound quality of the car audio but also the quality of the completed car itself. However without the subjective assessment on the users' preferences, it is hard to tune the car audio satisfying them. Even though there are lots of factors to be considered to assess the preferences, only a restricted number of factors should be included in the experiment because the total number of experiments increases rapidly as the number of factors in the experiment increases. A large number of factors make it hard to explore the relationship between the sound quality and the sound characteristics and also makes the panels exhausted. In this paper, 8 sound characteristics, each with 2 levels, are considered for the experiment. An orthogonal design of experiment is suggested to reduce the number of experiments from 256 to 16. The analysis of variance is applied to show that Treble is the most significant characteristic of the reproduced sound of the given pop music. Also Deep Bass, SAD, and the interaction between Treble and SAD are found to be significant. For the given classic music, SAD is the only characteristic which turns out to be significant.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.1-19
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• 2019

Artificial intelligence (AI) is one of the main driving forces leading the Fourth Industrial Revolution. The technologies associated with AI have already shown superior abilities that are equal to or better than people in many fields including image and speech recognition. Particularly, many efforts have been actively given to identify the current technology trends and analyze development directions of it, because AI technologies can be utilized in a wide range of fields including medical, financial, manufacturing, service, and education fields. Major platforms that can develop complex AI algorithms for learning, reasoning, and recognition have been open to the public as open source projects. As a result, technologies and services that utilize them have increased rapidly. It has been confirmed as one of the major reasons for the fast development of AI technologies. Additionally, the spread of the technology is greatly in debt to open source software, developed by major global companies, supporting natural language recognition, speech recognition, and image recognition. Therefore, this study aimed to identify the practical trend of AI technology development by analyzing OSS projects associated with AI, which have been developed by the online collaboration of many parties. This study searched and collected a list of major projects related to AI, which were generated from 2000 to July 2018 on Github. This study confirmed the development trends of major technologies in detail by applying text mining technique targeting topic information, which indicates the characteristics of the collected projects and technical fields. The results of the analysis showed that the number of software development projects by year was less than 100 projects per year until 2013. However, it increased to 229 projects in 2014 and 597 projects in 2015. Particularly, the number of open source projects related to AI increased rapidly in 2016 (2,559 OSS projects). It was confirmed that the number of projects initiated in 2017 was 14,213, which is almost four-folds of the number of total projects generated from 2009 to 2016 (3,555 projects). The number of projects initiated from Jan to Jul 2018 was 8,737. The development trend of AI-related technologies was evaluated by dividing the study period into three phases. The appearance frequency of topics indicate the technology trends of AI-related OSS projects. The results showed that the natural language processing technology has continued to be at the top in all years. It implied that OSS had been developed continuously. Until 2015, Python, C ++, and Java, programming languages, were listed as the top ten frequently appeared topics. However, after 2016, programming languages other than Python disappeared from the top ten topics. Instead of them, platforms supporting the development of AI algorithms, such as TensorFlow and Keras, are showing high appearance frequency. Additionally, reinforcement learning algorithms and convolutional neural networks, which have been used in various fields, were frequently appeared topics. The results of topic network analysis showed that the most important topics of degree centrality were similar to those of appearance frequency. The main difference was that visualization and medical imaging topics were found at the top of the list, although they were not in the top of the list from 2009 to 2012. The results indicated that OSS was developed in the medical field in order to utilize the AI technology. Moreover, although the computer vision was in the top 10 of the appearance frequency list from 2013 to 2015, they were not in the top 10 of the degree centrality. The topics at the top of the degree centrality list were similar to those at the top of the appearance frequency list. It was found that the ranks of the composite neural network and reinforcement learning were changed slightly. The trend of technology development was examined using the appearance frequency of topics and degree centrality. The results showed that machine learning revealed the highest frequency and the highest degree centrality in all years. Moreover, it is noteworthy that, although the deep learning topic showed a low frequency and a low degree centrality between 2009 and 2012, their ranks abruptly increased between 2013 and 2015. It was confirmed that in recent years both technologies had high appearance frequency and degree centrality. TensorFlow first appeared during the phase of 2013-2015, and the appearance frequency and degree centrality of it soared between 2016 and 2018 to be at the top of the lists after deep learning, python. Computer vision and reinforcement learning did not show an abrupt increase or decrease, and they had relatively low appearance frequency and degree centrality compared with the above-mentioned topics. Based on these analysis results, it is possible to identify the fields in which AI technologies are actively developed. The results of this study can be used as a baseline dataset for more empirical analysis on future technology trends that can be converged.