• Composites Research
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• 제35권6호
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• pp.447-455
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• 2022

Currently, the problem of pollution of the marine environment by microplastics is emerging seriously internationally. In this study, to develop a lightweight portable microplastic collection device, the types and number of microplastics in 21 coastal areas nationwide in Korea were investigated. And CFRP (Carbon Fiber Reinforced Plastic), GFRP (Glass Fiber Reinforced Plastic), ABS (Acrylonitrile Butadiene Styrene copolymer) and aluminum were applied for design and analysis of microplastic collection device to have the durability, corrosion resistance and lightweight. As a result of sample collection and classification from the shore, it was confirmed that microplastics were distributed the most in Hamdeok beach, and the polystyrene was found to be mainly distributed microplastics. Particle information through coastal field survey and CFD (Computational Fluid Dynamics) analysis were used to analyze the flow rate and distribution of particles such as sand and impurities, which were applied to the structural analysis of the cyclone device using the finite element method. As a result of structural analysis considering the particle impact inside the cyclone device, the structural safety was examined as remarkable in the order of CFRP, GFRP, aluminum, and ABS. In the view of weight reduction, CFRP could be reduced in weight by 53%, GFRP by 47%, and ABS by 61% compared to aluminum for the cyclone device.

• The Korean Journal of Franchise Management
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• 제13권2호
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• pp.53-66
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• 2022

Purpose: How to build the attitude on brand is very important, because it affects the positive word of mouth and revisit intention. Brand attachment, brand name, and image congruence play important role on consumer behavior in terms of reinforcing consumers' perception of food service companies and differentiating them from competing brands. Following the planned behavior theory, this paper examines the effect of linking brand attitude to word-of-mouth and revisit intentions in the restaurant sector. Research design, data, and methodology: This paper examines the structural relationship among brand attachment, brand name, image congruence, brand attitude, WOM, and revisit intention. In order to test the purposes of this study, research model and hypotheses were developed. The questionnaire items were modified and used according to the content of this study based on previous studies. All constructs were measured by multiple items tested and developed in the previous research. The study is based on the quantitative method and considered 519 questionnaires fulfilled by customers of restaurants. The data were explored employing the partial least square-structural equation modelling (PLS-SEM). Frequency analysis was conducted to identify the general characteristics of the survey subjects. To measure the reliability and validity of the measurement tools, confirmatory factor analysis was conducted. Structural model analysis was conducted to verify the research model. Result: The findings demonstrate that brand attachment and brand name had positive effects on attitude while image congruence did not have. Also, attitude had positive effect on WOM and revisit intention. Conclusions: This study expands the literature about WOM and revisit intentions. This study expands prior research in a similar field to which the theory of planned behavior (TPB) is applied, and reveals that brand attachment, brand name, and brand image congruence play an important role in developing brand attitude that affect revisit intention and WOM. And provide guidelines on how to enhance competitiveness in the restaurant sector based on understanding of linking brand attitude to customer loyalty and repeat business. By putting into practice these suggestions in the restaurant industry, brands can easily build up their attitude and boost a positive WOM and the intention to revisit.

• Journal of Digital Convergence
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• 제20권5호
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• pp.599-608
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• 2022

There has been criticism that the government-led makerspace did not reflect the actual demand of makers, so there was a limit to performance creation. In this regard, the study aims to diagnose the current status and problems of makerspace and to suggest the implication to respond to policy demand. To this end, we analyzed the current status of makerspace by utilizing the government documents. Then, we conducted a survey of SMEs related to ICT devices that experienced makerspace, and analyzed their opinions on D·N·A technology demand, management difficulties, and governments' support policies. As results, the study proposed several improvement measures to upgrade makerspace as a digital conversion platform as follows. First, due to the nature of the existing industry for introducing D·N·A technology, there is a limit for companies to enter the market on their own, so comprehensive support from the government is needed. Second, it is necessary to establish and expand an empirical test bed for the development of new products and services so that various types of metaverse contents can be discovered and digital transformation convergence models of existing businesses can be derived. Third, by modifying the support method to operate the makerspace as a platform that implements the government-led start-up support policy, boldly transfer what the private sector can do well to the private sector. The participants of Industry·University·Institute Collaboration should freely share ideas and help the common problem be solved. Based on the problems and the findings for improvement, it is expected that the current makerspace would be upgraded to a digital conversion platform suitable for the demand of the field.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• 제22권1호
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• pp.192-207
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• 2023

Commercialization of level-4 (Lv.4) autonomous driving applications requires the definition of a safe road environment under which autonomous vehicles can operate safely. Thus, a risk assessment model is required to determine whether the operation of autonomous vehicles can provide safety to is sufficiently prepared for future real-life traffic problems. Although the risk factors of autonomous vehicles were selected and graded, the decision-making method was applied as qualitative data using a survey of experts in the field of autonomous driving due to the cause of the accident and difficulty in obtaining autonomous driving data. The fuzzy linguistic representation of decision-makers and the fuzzy analytic hierarchy process (AHP), which converts uncertainty into quantitative figures, were implemented to compensate for the AHP shortcomings of the multi-standard decision-making technique. Through the process of deriving the weights of the upper and lower attributes, the road alignment, which is a physical infrastructure, was analyzed as the most important risk factor in the operation risk of autonomous vehicles. In addition, the operation risk of autonomous vehicles was derived through the example of the risk of operating autonomous vehicles for the 5 areas to be evaluated.

• Korean Journal of Clinical Laboratory Science
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• 제54권1호
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• pp.49-60
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• 2022

This study attempted to provide the basic data for developing a system to identify the role of medical technologists and ensure an efficient response for quick and accurate diagnostic tests in the COVID-19 era. The research method involved using focus group interviews for a survey and analysis of 15 medical institutions. Eleven sample collection institutions, 10.4 medical technologists, 2.1 minutes of collection time, 5.4 hours of test time, 9,670 tests, 6.2 member test workforce size, and 7 screening center operating institutions were surveyed. The results of the focus group interview analysis revealed that there were no standardized guidelines covering working hours, area, and environment to protect sample collectors and testers in relation to the COVID-19 tests. Also, legal protection measures were insufficient in the event of accidental infections and there were no personnel regulations related to COVID-19. In addition, the professional training of sample collectors and molecular diagnostic testers was required for reliable COVID-19 testing. In conclusion, it is necessary to provide professional education through special test short-term training institutions to cope with emergency infectious diseases such as COVID-19. Legal systems should be put in place to protect the workforce and ensure stability.

• Journal of Christian Education in Korea
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• 제72권
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• pp.97-115
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• 2022

The purpose of this study is to analyze the trends of Christian education research during the COVID-19 period. To this end, 172 theses published in the "Journal of Christian Education" and "Korea Society for Christian Education & Information Technology" pub-lished between March 2020 and June 2022 were analyzed according to the subfields and research methods of Christian education. As a result of the analysis, 38.5% of the total papers belonged to theories of Christian education. Papers related to practice of Christian education was 61.5%. Looking more closely at Christian education practice, papers related to classification by 'developmental stage' accounted for 25%, 'education field' accounted for 55.2%, 'function' accounted for 40.7% of the total papers. Regarding the classification of research methods, literature research accounted for 62.7% of the total studies, survey research methods accounted for 21.5%. Based on this, the main conclusions found in this study are as follows. First, the problems caused by the emergence and spread of the coronavirus began to be reflected in Christian education studies. Second, it was confirmed that the research method of Christian education, which had been biased toward liter-ature research, was recently converted from theory-centered to an attempt to balance theory and practice, and as convergence research increased, research topics and re-search methods were diversifying. Third, it was confirmed the need for category stand-ards that can analyze and classify studies in order to identify trends in Christian education research. Lastly, when considering all the papers, there are not many papers that fall under the classification by characteristics.

• KSCE Journal of Civil and Environmental Engineering Research
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• 제26권4D호
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• pp.553-557
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• 2006

The traffic flow of a vehicle is an essential existence in a city, and is a part of a living aiming at the city citizen's activity. Hereafter, this flow will increase gradually, thus even a proper countermeasure against this will be required to arrange for. However, it will need to present a proper countermeasure against a threat of the roads surrounding a residential area where is a living space of the city citizen, being occurred according to this. It aims to maximize the effect of Traffic Calming technique through maintaining the special environment and facilities being possessed only by our country's living roads. This study did carry out and consider the analysis of a primary factor through a field survey, an experiment and SPSS, in relation to an issue of which influence of factors as for the domestic traffic environment different from a foreign country has on introducing and applying the technique of Traffic Calming to the domestic nation. As the results through the evaluation experiment and the primary-factor analysis, it could be seen being influenced largely by six factors such as a pedestrian's safety facilities which influence on the traffic environment in case of applying Traffic Calming, a mechanical factor to lower speed, a factor as to a street scene, a factor as to a pedestrian's passing condition given, a factor of a pedestrian's convenience and environment, and a visual factor of a vehicle's deceleration.

• 한국노년학
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• 제30권4호
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• pp.1239-1261
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• 2010

The main purposes of the study were to identify factors affecting health-related quality of life of elderly stroke survivors, and to suggest social work interventions for improving their quality of life. The participants were 328 elderly stroke survivors over 55 years old recruited from 18 long-term care hospitals and 13 nursing care facilities in Chung-Nam Province, Korea. The data was collected through a direct survey method from Dec. 16, 2008 to Jan. 17, 2009. Statistical analysis revealed that the overall health-related quality of life among participants was relatively low, especially in the social relationships domain. As a result of hierarchical multiple regression analysis, depression emerged as the most significant predictor of elderly stroke survivors' health-related quality of life, followed by financial burden in future, activities of daily living, acceptance of disability, comorbidity, and major financial supporter(spouse). Health-related quality of life of elderly stroke survivors in long-term care facilities was affected by a variety of variables from disease-related factors to environmental ones. Particularly psychosocial variables were the most powerful factors to predict HRQOL of elderly stroke survivors. Based on the results, social work implications were discussed in the context of developing clinical strategies to alleviate elderly stroke survivors' health-related quality of life in long-term care facilities. Living with chronic illness and disability is a great challenge to the elderly. Most of all long-term residence in care facilities can cause deterioration of quality of life in old age. From now on, studies on health-related quality of life of elderly with chronic illness and disability should be activated in social work field.

• Geomechanics and Engineering
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• 제35권5호
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• pp.539-554
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• 2023

This article is dedicated to the pursuit of establishing a robust empirical relationship that allows for the estimation of in-situ modulus of deformations (E_m and G_m) within sedimentary rock slope masses through the utilization of Q_slope values. To achieve this significant objective, an expansive and thorough methodology is employed, encompassing a comprehensive field survey, meticulous sample collection, and rigorous laboratory testing. The study sources a total of 26 specimens from five distinct locations within the South Pars (known as Assalouyeh) region, ensuring a representative dataset for robust correlations. The results of this extensive analysis reveal compelling empirical connections between E_m, geomechanical characteristics of the rock mass, and the calculated Q_slope values. Specifically, these relationships are expressed as follows: E_m = 2.859 Q_slope + 4.628 (R² = 0.554), and G_m = 1.856 Q_slope + 3.008 (R² = 0.524). Moreover, the study unravels intriguing insights into the interplay between in-situ deformation moduli and the widely utilized Rock Mass Rating (RMR) computations, leading to the formulation of equations that facilitate predictions: RMR = 18.12 E_m0.460 (R² = 0.798) and RMR = 22.09 G_m0.460 (R² = 0.766). Beyond these correlations, the study delves into the intricate relationship between RMR and Rock Quality Designation (RQD) with Qslope values. The findings elucidate the following relationships: RMR = 34.05e^0.33Qslope (R² = 0.712) and RQD = 31.42e^0.549Qslope (R² = 0.902). Furthermore, leveraging the insights garnered from this comprehensive analysis, the study offers an empirically derived support system tailored to the distinct characteristics of discontinuous rock slopes, grounded firmly within the framework of the Q_slope methodology. This holistic approach contributes significantly to advancing the understanding of sedimentary rock slope stability and provides valuable tools for informed engineering decisions.

• Journal of the Korea Society of Computer and Information
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• 제29권1호
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• pp.273-285
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• 2024

With the active utilization of Online Judge (OJ) systems in the field of education, various studies utilizing learner data have emerged. This research proposes a problem recommendation based on a user-based collaborative filtering approach with learner data to support learners in their problem selection. Assistance in learners' problem selection within the OJ system is crucial for enhancing the effectiveness of education as it impacts the learning path. To achieve this, this system identifies learners with similar problem-solving tendencies and utilizes their problem-solving history. The proposed technique has been implemented on an OJ site in the fields of algorithms and programming, operated by the Chungbuk Education Research and Information Institute. The technique's service utility and usability were assessed through expert reviews using the Delphi technique. Additionally, it was piloted with site users, and an analysis of the ratio of correctness revealed approximately a 16% higher submission rate for recommended problems compared to the overall submissions. A survey targeting users who used the recommended problems yielded a 78% response rate, with the majority indicating that the feature was helpful. However, low selection rates of recommended problems and low response rates within the subset of users who used recommended problems highlight the need for future research focusing on improving accessibility, enhancing user feedback collection, and diversifying learner data analysis.