• Journal of the Korea institute for structural maintenance and inspection
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• v.27 no.2
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• pp.77-84
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• 2023

As the installation of solar panel accelerates, so does the number of solar panels reaching their end-of-life (EOL). However, the EOL solar panels is becoming a concern, as they contain potentially hazardous materials and are not easily recycled. Coping strategies such as effective collection, disposal, and recycling methods will be important to manage the growing number of EOL solar panels in the coming years.Therefore, many studies have focused on the development of EOL solar panel recycling technology. One recycling technology for EOL solar panels applicable to the construction field is the application of extracted tempered glass from EOL solar panels as construction materials. This study summarized the EOL solar panel disassembly technology and evaluated the mechanical properties of mortar using extracted tempered glass as fine aggregate. The results showed that when tempered glass was used as a fine aggregate in mortar, the compressive strength, flexural strength, and macro pores in the 1-3 ㎛ with 200-300 ㎛ range were affected, regardless of the disassembly technology of EOL solar panels. Especially, we found that the mechanical performance of mortar using chemically treated tempered glass was noticeably decreased due to changes in the chemical composition of the extracted tempered glass resulting from the removal of K₂O and CuO due to chemical reactions. Meanwhile, it was found that when fly ash was used as a binder, the reduction of mechanical performance could be alleviated.

• Asia Marketing Journal
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• v.16 no.2
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• pp.39-57
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• 2014

There has been recognition of the increasing importance of cooperation as an element of marketing strategy. Such cooperation is confined to four levels based on product development, sales promotion, pricing arrangements, and place (or distribution) mechanisms as the usual marketing 4Ps mixed (Varadarajan 1986). At present, however, little is known about the nature of tie-in promotion as a cooperative sales promotion comparing three other levels. The primary goal of this study is to examine the effect of consumer - tie-in promotion relationship on loyalty. The construct of consumer - tie-in promotion relationship is based on the previous research on consumer-brand relationship. In addition, this study divides the concept of loyalty into host brand loyalty and partner brand loyalty to reflect the characteristics of tie-in promotion including program in order to determine the effect of the consumer - tie-in promotion relationship on loyalty. The results showed that the three dimensions of the consumer - tie-in promotion relationship (i.e., commitment, intimacy, and interdependence) had significantly positive effect on program loyalty. The effect of program loyalty is significantly on both host and partner brand loyalty. This study empirically tested the relationships among consumer - tie-in promotion relationship, program loyalty, host brand loyalty, and partner brand loyalty, and then compared with the difference in the suggested model for the target customers and non-target customers. As a result, for target customers, intimacy and interdependence among dimensions of consumer - tie-in promotion relationship had significantly positive influence on program loyalty. In case of non-target customers, however, commitment and interdependence among dimensions of consumer - tie-in promotion relationship had significantly positive influence on program loyalty. Also, program loyalty had significantly positive impact on host brand loyalty and partner brand loyalty in both target and non-target customers. This study has significance in that it addresses the need to identify research and academic implications by analyzing the consumer - tie-in promotion relationship to determine the relationship between tie-in promotion and loyalty, which has not been clearly described by previous studies. Furthermore, this study builds a foundation for firms and managers actively using tie-in promotion to establish tie-in promotion strategies that can maximize loyalty for both host and partner brands from the consumers' point of view.

• Journal of Service Research and Studies
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• v.13 no.4
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• pp.173-190
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• 2023

In recent times, with the development of virtual convergence technologies, the market for the Metaverse, a digitally virtual space that combines virtuality and reality, is experiencing significant growth. These Metaverses are realizing new value in both reality and virtual spaces through the development of diverse services and content. However, existing research on the Metaverse mostly revolves around its conceptualization and categorization, with limited exploration of intentions to use the Metaverse. Consequently, this study examined the impact of Metaverse service characteristic factors on trust and intention to use within the Metaverse. The results of this study are as follows. First, among the service characteristic factors of the Metaverse, presence, interactivity, and playfulness were found to have a positive impact on Metaverse trust. On the other hand, informativeness was found not to have a significant influence on trust in the Metaverse. Second, Metaverse trust was found to have a positive impact on intention to use the Metaverse. Based on the research results above, this study aims to propose effective communication strategies for activating the Metaverse and developing services within the Metaverse platform.

• Korea Trade Review
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• v.48 no.2
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• pp.111-127
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• 2023

While the e-commerce market in Southeast Asia is growing, this study aims to derive factors for establishing an entry strategy for the Cambodian e-commerce market where Korean logistics companies can strategically enter in the future. Cambodia is a country where growth and growth potential in the e-commerce market is steadily increasing based on the high youth population ratio, high smartphone penetration rate, the introduction of convenient payment systems, and government-level e-commerce promotion policies. In this study, Korean logistics companies established detailed promotion strategies by deriving factors necessary for Cambodia's entry into the e-commerce market and analyzing their relative importance. The AHP analysis technique derived three top factors for the entry strategy, and each presented four sub-factors. As a result, the importance was shown in the order of 'Market Factor' (0.556), 'Policy and Institutional Factor' (0.295), and 'Corporate Competency Factor' (0.149). As a result of the sub-factors analysis, the importance was found in the order of "Characteristics and Growth Potential of Distribution Channel" (0.230), "Purchasing Power and Awareness Level of Consumers" (0.176), "Cambodia Government's E-commerce Policy and Institutional Support" (0.122), and "Cambodia Government's Logistics Infrastructure Plan" (0.108). In both the upper and lower factors, the characteristics and growth potential of the Cambodian e-commerce market were important, indicating that Korean logistics companies value market size and growth potential to enter the Cambodian e-commerce market. The results of this study can be used as a guideline to help Korean logistics companies make successful inroads into Cambodia, where the e-commerce market is expected to grow in the future.

• Korean Journal of Remote Sensing
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• v.39 no.6_3
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• pp.1679-1692
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• 2023

South Korea is a country that emits a large amount of pollutants as a result of population growth and industrial development and is also severely affected by transboundary air pollution due to its geographical location. As pollutants from both domestic and foreign sources contribute to air pollution in Korea, the location of air pollutant emission sources is crucial for understanding the movement and distribution of pollutants in the atmosphere and establishing national-level air pollution management and response strategies. Based on this background, this study aims to effectively acquire spatial information on domestic and international air pollutant emission sources, which is essential for analyzing air pollution status, by utilizing high-resolution optical satellite images and deep learning-based image segmentation models. In particular, industrial parks and quarries, which have been evaluated as contributing significantly to transboundary air pollution, were selected as the main research subjects, and images of these areas from multi-purpose satellites 3 and 3A were collected, preprocessed, and converted into input and label data for model training. As a result of training the U-Net model using this data, the overall accuracy of 0.8484 and mean Intersection over Union (mIoU) of 0.6490 were achieved, and the predicted maps showed significant results in extracting object boundaries more accurately than the label data created by course annotations.

• Journal of Industrial Convergence
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• v.22 no.4
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• pp.31-38
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• 2024

The purpose of this study was to examine the current status of elderly sports both domestically and internationally, and to explore strategies for the activation of Silver Taekwondo as one of the sports disciplines for the elderly. To investigate the status of elderly sports globally, press releases and statistical data from various national public institutions and sports facilities (including the Ministry of Culture, Sports and Tourism, the Ministry of Health and Welfare, the Korean Statistical Information Service, e-National Indicators, and the Korea Sports Promotion Foundation) were collected. Comparative analysis with related papers, journals, and books led to the following findings for activating Silver Taekwondo. Firstly, elderly sports in South Korea are primarily conducted through welfare centers, with a preference for dance, yoga, and music, while martial arts, including Taekwondo, had a lower preference rate. To increase participation in Silver Taekwondo, a variety of marketing approaches, similar to those used internationally, such as experiential case studies in media, film production, distribution, and telephone promotions, are necessary. Secondly, the development of Silver Taekwondo programs tailored to the training targets and the cultivation of instructors capable of executing these programs are needed. The development of programs should involve collaboration with Taekwondo institutions, dojangs, universities, and lifelong education centers, requiring the participation of majoring students and elderly sports instructors.

• Journal of The Korean Association For Science Education
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• v.27 no.5
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• pp.379-393
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• 2007

The purpose of this article is to analyze the conceptual change of nine 11th graders after implementing the model-based instruction of blood circulation by multidimensional framework, and to find some implications about teaching strategies for improving conceptual understanding. The model-based instruction consisted of 4 periods: (1) introduction for inducing students' interests using an episode in the science history of blood circulation, (2) vivisectional experiment on rats, (3) visual-linguistic model instruction using the videotape of heartbeat, and (4) modeling activity on the path of blood flow. Based on the data from pre-test, post-test and interviews, we classified students' models on the path of blood flow, and investigated their ontological features and the conceptual status of blood circulation. Most students could describe the path of blood flow and the changes of substances in blood precisely after the instructions. However, the modeling activity were not sufficient to improve students' understanding of the mechanisms of the blood distribution throughout various organs and the material exchanges between blood and tissues. From the interview of 9 students, we acquired informative results about conceptual status elements that were helpful to, preventing from, or not used for students' understanding. It was also found that conceptual status of students depended on the ontological categories into which students' conceptions of blood circulation fell. The results of this study can help design the effective teaching strategy for the understanding of concept of the equilibrium category.

• Journal of Dental Anesthesia and Pain Medicine
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• v.24 no.3
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• pp.187-193
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• 2024

Background: Patients with autism spectrum disorder (ASD) present challenges in dental treatment cooperation owing to deficits in communication skills and social interaction. Behavioral guidance, sedation, and general anesthesia may be employed to ensure the quality of dental care for individuals with ASD. This study aimed to examine the trends in dental treatment for patients with ASD who visited the Department of Pediatric Dentistry at Dankook University Jukjeon Dental Hospital, an oral health center for the disabled in the Gyeonggi region, over the past 10 years. Methods: This study utilized the order communication system to gather data on sex, age, cooperation level, number of quadrants treated, and administration of sedation or general anesthesia for patients with ASD who visited the Department of Pediatric Dentistry at Dankook University Jukjeon Dental Hospital between January 2013 and December 2022. Results: The total number of patients with ASD increased annually, possibly due to an increase in ASD prevalence and the hospital's designation as a center for disabled oral health. General anesthesia was predominant before 2017, with a shift towards N₂O-O₂ sedation. The most common age group for sedation or general anesthesia was 6-9 years, with a higher prevalence in males than in females. Notably, N₂O-O₂ and midazolam sedation resulted in better cooperation and fewer treated teeth than general anesthesia. Conclusion: This study highlights the evolving trends in dental treatment for individuals with ASD, indicating a shift towards outpatient methods, particularly N₂O-O₂ sedation. The sex distribution aligns with national statistics, emphasizing a higher prevalence of ASD in males than in females. These findings underscore the need for further research to establish evidence-based guidelines for optimal dental care strategies tailored to the unique needs of individuals with ASD.

• Journal of the Korean Society of Radiology
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• v.18 no.3
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• pp.283-292
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• 2024

Radiation side effects and complications on the ocular adnexa during electron beam therapy for orbital lymphoma can increase the incidence of posterior subcapsular cataracts. This study simulated a medical linear accelerator and a mathematical model of the eye using monte carlo simulations to evaluate the dose to the ocular adnexa and compare the shielding effectiveness on different parts of the ocular adnexa based on lens shield thickness. The dose assessment results of the ocular adnexa showed that the lens's sensitive area had the highest absorbed dose distribution when no shield was used, followed by the lens's non-sensitive area, the anterior chamber, vitreous humor, cornea, and eyelid in descending order. With the use of a shield, a 2 mm thick shield demonstrated a dose reduction effect of over 90% in the lens's sensitive area, over 83% in the non-sensitive area and anterior chamber, and a dose reduction effect of 30 to 62% in the vitreous body, cornea, and eyelid. For dose reduction in the lens's sensitive area during electron beam therapy for orbital lymphoma, it is necessary to use a shield of at least 2 mm thickness. Additionally, shielding strategies considering the thickness and area of the shield for other ocular adnexa besides the lens are required.

• The Journal of Bigdata
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• v.9 no.1
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• pp.101-113
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• 2024

Federated learning has garnered attention as an efficient method for training machine learning models in a distributed environment while maintaining data privacy and security. This study proposes a novel FedRFBagging algorithm to optimize the performance of random forest models in such federated learning environments. By dynamically adjusting the trees of local random forest models based on client-specific data characteristics, the proposed approach reduces communication costs and achieves high prediction accuracy even in environments with numerous clients. This method adapts to various data conditions, significantly enhancing model stability and training speed. While random forest models consist of multiple decision trees, transmitting all trees to the server in a federated learning environment results in exponentially increasing communication overhead, making their use impractical. Additionally, differences in data distribution among clients can lead to quality imbalances in the trees. To address this, the FedRFBagging algorithm selects only the highest-performing trees from each client for transmission to the server, which then reselects trees based on impurity values to construct the optimal global model. This reduces communication overhead and maintains high prediction performance across diverse data distributions. Although the global model reflects data from various clients, the data characteristics of each client may differ. To compensate for this, clients further train additional trees on the global model to perform local optimizations tailored to their data. This improves the overall model's prediction accuracy and adapts to changing data distributions. Our study demonstrates that the FedRFBagging algorithm effectively addresses the communication cost and performance issues associated with random forest models in federated learning environments, suggesting its applicability in such settings.