• Journal of People, Plants, and Environment
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• v.23 no.6
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• pp.589-602
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• 2020

Background and objective: There are many theories related to the development of agrotourism, and each stakeholder has its own role and function. If it is based on organizational functions, stakeholders need to be coordinated, and the state plays a major administrative role. But in the successful case of Yeongdong County, Chungcheongbuk province, the Republic of Korea, the government played an important role in the development of tourism, which grants us another perspective on the role of the government in promotion and development agrotourism activities. Methods: This article aims to examine the development of agrotourism through a cooperative approach, by clarifying the role of the local authorities in the Yeongdong region in the management and operation of the local agrotourism activities. The qualitative research method is based on a field survey conducted in Yeongdong County in 2019. Results: The study's findings show that in situations where conflicts of interest among stakeholders are prone to occur, the development of local tourism has a limited impact on the cooperative culture, and local governments play an important role. Accordingly, the local governments must actively formulate strategies to maintain and develop traditional agricultural industries and at the same time develop agrotourism activities. The government's ability to coordinate, cooperate, and participate reasonably is a key factor for the success of the sustainable development of the tourism industry. Conclusion: Based on coordination between stakeholders and a reasonable strategic direction, Yeongdong's agrotourism is being effectively deployed. The development of Yeongdong's agrotourism industry has achieved impressive results through an effective strategy, highlighting the important role of localgovernment in the consensus of local communities and collaboration with stakeholders. The role of outstanding local governments has been clearly demonstrated, especially in promoting, establishing, and contacting different organizations to effectively deploy agrotourism in the region.

• Journal of People, Plants, and Environment
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• v.24 no.2
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• pp.219-227
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• 2021

Background and objective: Urban street trees play an important role in carbon reduction in cities where greenspace is scarce. There are ongoing studies on carbon reduction by street trees. However, information on the carbon reduction capacity of street trees based on field surveys is still limited. This study aimed to quantify carbon uptake and storage by urban street trees and suggest a method to improve planting of trees in order to increase their carbon reduction capacity. Methods: The cities selected were Sejong, Chungju, and Jeonju among cities without research on carbon reduction, considering the regional distribution in Korea. In the cities, 155 sample sites were selected using systematic sampling to conduct a field survey on street environments and planting structures. The surveyed data included tree species, diameter at breast height (DBH), diameter at root collar (DRC), height, crown width, and vertical structures. The carbon uptake and storage per tree were calculated using the quantification models developed for the urban trees of each species. Results: The average carbon uptake and storage of street trees were approximately 7.2 ± 0.6 kg/tree/yr and 87.1 ± 10.2 kg/tree, respectively. The key factors determining carbon uptake and storage were tree size, vertical structure, the composition of tree species, and growth conditions. The annual total carbon uptake and storage were approximately 1,135.8 tons and 22,737.8 tons, respectively. The total carbon uptake was about the same amount as carbon emitted by 2,272 vehicles a year. Conclusion: This study has significance in providing the basic unit to quantify carbon uptake and storage of street trees based on field surveys. To improve the carbon reduction capacity of street trees, it is necessary to consider planning strategies such as securing and extending available grounds and spaces for high-density street trees with a multi-layered structure.

• Ecology and Resilient Infrastructure
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• v.9 no.4
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• pp.207-217
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• 2022

The purpose of this study was to understand and develop various environmental designs to play a key roles in urban design, so that public green spaces remain vital with future changes. Variability in space, ecology, and society were analyzed based on research of variable environmental spaces in 11 selected studies conducted locally and abroad since the 2010s. Moreover, landscape characteristics, design methods, and design strategies were analyzed accordingly for each case. The results of the study showed that variability in landscapes provided various possibilities for spatial change and satisfied people's functional needs for spatial use. In addition, variable environmental design greatly compensated for the defects by solving the issues associated with fixed landscapes by increasing the flexibility of use and adaptability to the environment. This study showed that variable design is applicable to public green spaces; environmental stress; and variability in architecture, the environment, and landscaping, and it contributes to enhancing the sustainability and resilience of the environment.

• Knowledge Management Research
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• v.23 no.3
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• pp.89-109
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• 2022

Many companies are trying to enter into overseas markets to overcome the limited size of domestic markets. However, there are many barriers to enter the overseas markets such as difficulty to find buyers and make contract with them, payment risks, unfriendly foreign policies, and etc. Companies have used to various strategies to get opportunities of overseas markets. One of them is UN public procurement. Despite many advantages, limited number of companies are participating in the procurement. Individual governments are providing policies to support local companies to participate in the UN public procurement. However it is not easy to encourage firms, especially SMEs to participate in the procurement. This study is designed to analyze firm and product determinants of participating in UN public procurement. Based on literature reviews and empirical findings, this study shows social responsibility and global orientation can play an important role regarding the participation. In addition, the positive relationship between UN public procurement participation and sustainability in a given firm could be empirically supported. Last, we suggest combining country- and industry-level data to investigate UN public procurement participation as an interesting topic for future research. This study represents various determinants to encourage UN public procurement participation. They may contribute to enhance firm performance such as sustainability.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.315-319
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• 2022

Cloud computing has emerged to be the most effective headway for investigating crime especially cybercrime in this modern world. Even as we move towards an information technology-controlled world, it is important to note that when innovations are made, some negative implications also come with it, and an example of this is these criminal activities that involve technology, network devices, and networking that have emerged as a result of web improvements. These criminal activities are the ones that have been termed cybercrime. It is because of these increased criminal activities that organizations have come up with different strategies that they use to counter these crimes, and one of them is carrying out investigations using the cloud environment. A cloud environment has been defined as the use of web-based applications that are used for software installation and data stored in computers. This paper examines problems that are a result of cybercrime investigation in the cloud environment. Through analysis of the two components in play; cybercrime and cloud environment, we will be able to understand what are the problems that are encountered when carrying out investigations in cloud forensics. Through the use of secondary research, this paper found out that most problems are associated with technical and legal channels that are involved in carrying out these investigations. Investigator's mistakes when extracting pieces of evidence form the most crucial problems that take a lead when it comes to cybercrime investigation in the cloud environment. This paper not only flags out the challenges that are associated with cybercrime investigation in cloud environments but also offer recommendations and suggested solutions that can be used to counter the problems in question here. Through a proposed model to perform forensics investigations, this paper discusses new methodologies solutions, and developments for performing cybercrime investigations in the cloud environment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.2
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• pp.391-411
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• 2023

Aggregates play the skeleton and supporting role in the construction field, high-precision measurement and high-efficiency analysis of aggregates are frequently employed to evaluate the project quality. Aiming at the unbalanced operation time and segmentation accuracy for multi-class segmentation algorithms of aggregate images, a Chaotic Sparrow Search Algorithm (CSSA) is put forward to optimize it. In this algorithm, the chaotic map is combined with the sinusoidal dynamic weight and the elite mutation strategies; and it is firstly proposed to promote the SSA's optimization accuracy and stability without reducing the SSA's speed. The CSSA is utilized to optimize the popular multi-class segmentation algorithm-Multiple Entropy Thresholding (MET). By taking three METs as objective functions, i.e., Kapur Entropy, Minimum-cross Entropy and Renyi Entropy, the CSSA is implemented to quickly and automatically calculate the extreme value of the function and get the corresponding correct thresholds. The image adaptive multi-class segmentation model is called CSSA-MET. In order to comprehensively evaluate it, a new parameter I based on the segmentation accuracy and processing speed is constructed. The results reveal that the CSSA outperforms the other seven methods of optimization performance, as well as the quality evaluation of aggregate images segmented by the CSSA-MET, and the speed and accuracy are balanced. In particular, the highest I value can be obtained when the CSSA is applied to optimize the Renyi Entropy, which indicates that this combination is more suitable for segmenting the aggregate images.

• Biomolecules & Therapeutics
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• v.31 no.3
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• pp.253-263
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• 2023

The biogenesis and biological roles of extracellular vesicles (EVs) in the progression of liver diseases have attracted considerable attention in recent years. EVs are membrane-bound nanosized vesicles found in different types of body fluids and contain various bioactive materials, including proteins, lipids, nucleic acids, and mitochondrial DNA. Based on their origin and biogenesis, EVs can be classified as apoptotic bodies, microvesicles, and exosomes. Among these, exosomes are the smallest EVs (30-150 nm in diameter), which play a significant role in cell-to-cell communication and epigenetic regulation. Moreover, exosomal content analysis can reveal the functional state of the parental cell. Therefore, exosomes can be applied to various purposes, including disease diagnosis and treatment, drug delivery, cell-free vaccines, and regenerative medicine. However, exosome-related research faces two major limitations: isolation of exosomes with high yield and purity and distinction of exosomes from other EVs (especially microvesicles). No standardized exosome isolation method has been established to date; however, various exosome isolation strategies have been proposed to investigate their biological roles. Exosome-mediated intercellular communications are known to be involved in alcoholic liver disease and nonalcoholic fatty liver disease development. Damaged hepatocytes or nonparenchymal cells release large numbers of exosomes that promote the progression of inflammation and fibrogenesis through interactions with neighboring cells. Exosomes are expected to provide insight on the progression of liver disease. Here, we review the biogenesis of exosomes, exosome isolation techniques, and biological roles of exosomes in alcoholic liver disease and nonalcoholic fatty liver disease.

• Journal of Life Science
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• v.33 no.9
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• pp.736-745
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• 2023

Aging is a complex biological process characterized by a gradual decline in cellular and physiological functions. This natural process is associated with age-related diseases, including Alzheimer's disease, atherosclerosis, and hypogonadism, which are significant health concerns among older individuals and can significantly impact their quality of life. Researchers have found that epigenetic markers play a crucial role in regulating aging and age-related diseases. Epigenetic markers are heritable gene expression alterations that do not change in the DNA sequence. This review focuses on the involvement of various epigenetic marks, such as RNA methylation, DNA methylation, and microRNAs (miRNAs), in regulating gene expression patterns associated with age-related diseases, such as Alzheimer's disease, atherosclerosis, and hypogonadism. These epigenetic alterations can lead to the dysregulation of specific genes and signaling pathways, contributing to the development and progression of Alzheimer's disease, atherosclerosis, and hypogonadism. Understanding the molecular mechanisms behind these epigenetic modifications is essential for both the aging population and individuals seeking ways to promote overall well-being. By gaining deeper insights into how epigenetic marker alteration occurs during aging and age-related diseases, researchers can potentially develop targeted therapeutic strategies to alleviate the impact of these conditions and improve the quality of life for older individuals.

• (The) Research of the performance art and culture
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• no.39
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• pp.31-67
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• 2019

This thesis examines the difficulties of utilizing the narrative and music of Pansori: 판소리 in Changguk: 창극. For this examination, I consider that the reason for the difficulty of making Changguk is the difference between Pansori and Changguk as the genres. Most of the Changguk based on the traditional five Pansori works perform the narration and songs of Pansori literally. However, the original narrative of Pansori has a distinctive dual structure since the formation of its first and second half is created separately. As the drama genre visualizes the story and emphasizes the consistency of action, unlike Pansori, the duality of the original narrative can be seen as the inconsistency of the action. In addition, since the sounds of the original Pansori are rather explanatory than dramatic even in the climax scenes of Jeokbyeok battlefields, it is difficult to produce dramatic scenes in Changguk. The voices of the military, not in the original works, play important roles in revealing the hidden theme effectively in Changguk. However It is impossible to relocate the original text of Pansori into Changguk, as even the voices of the military lack verisimilitude in terms of narrative. Changguk can only be developed as its own work by actively researching and dismantling Pansori .

• Journal of the Korean Society of Industry Convergence
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• v.26 no.3
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• pp.471-481
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• 2023

Digital twin is considered as a key technology of industry 4.0, thus being essential for the future of industrial production. Despite the significance, a systematic analysis of its technological landscape is lacking. This study aims to investigate the technological development trends and newly emerging technological convergence opportunities in the domain of digital twin by exploiting patent information derived from U SPTO. For this purpose, this study visualized and predicted the convergence dynamics among patent classification codes by adopting patent co-classification analysis and link prediction approach. The findings show that the number of digital twin-related patent applications has increased significantly since 2018. The CPC code G06F showed the highest eigenvector centrality, while G05B was characterized by highest betweenness centrality. According to the predictive model, 41 novel links were revealed, acting as potential technology convergence opportunities. These links were then categorized into 11 different domains. The most dominant category was "digital data processing and artificial intelligence", which could play a foundational role in the diffusion of digital twin technology. The presence of digital twin technology is dominant in manufacturing, but its applications are expected to expand, including "climate change", "healthcare" and "aerospace engineering". The derived insights can support R&D managers and policy makers in formulating R&D strategies and directing future R&D investment decisions.