• Bangmulgwan gwa yeongu (The National Museum of Korea Journal)
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• v.1
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• pp.198-233
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• 2024

On April 28, 2021, the bereaved family of the late Samsung Group chairman Lee Kun-Hee made a gift of 9,797 items (in 21,693 pieces) from his estate to the National Museum of Korea. Among the donated cultural heritage are 535 mirrors (in 555 pieces), which constitute the largest proportion of the metal art in the donation. This article discusses a group of mirrors from the donated collection dating to the Western Han and Samhan periods - a total of twenty-three mirrors (twenty-two from the Western Han Dynasty and one from the Samhan Period) - that are presumed to have been found together. However, there is no known case of such a large number of Western Han mirrors being discovered together, raising doubts about whether this group should be considered to have been buried all together. Furthermore, the presence of a Samhan mirror among the group suggests that this one at least must have been found together with a Western Han mirror. Additionally, considering that early Samhan mirrors have been found in the southeastern part of the Korean Peninsula, particularly in the region occupied by Jinhan Confederacy (in present-day Gyeongsangbuk-do Province), it is likely that these mirrors were also excavated somewhere in Jinhan. Also, -18 is a repurposed imitation of a jade eye cover. No similar examples have been found in Korea, China, or Japan, but there are instances of bronze mirrors being used as substitutes for jade burial ornaments that have been identified in China. The repurposing and use of Western Han mirrors as circular ornaments have been observed only in Jinhan in the southern part of the Korean Peninsula, indicating that this item was likely used in Jinhan as well. Further research and discoveries are anticipated in the future.

• Bangmulgwan gwa yeongu (The National Museum of Korea Journal)
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• v.1
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• pp.74-95
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• 2024

A vast body of inscribed bricks has been found connected to the mid-fourth-century Tomb of Jang Mui in Bongsan-gun, Hwanghae-do Province. After several inspections of the bricks conducted at the National Museum of Korea in 2023, these inscribed bricks were grouped into ten types. This paper interprets in detail the phrases written on these bricks from the Tomb of Jang Mui in an attempt to understand their characteristics and intentions. This detailed interpretation facilitates a rough understanding of how each phrase relates to the others and in what order the phrases would make full sentences. In terms of their contents, these inscribed bricks are presumed to have been produced to convey information about the construction of the tomb to viewers on the outside. In particular, they relate that a narrator referred to as a Jubu official named Jo was involved in the construction of the Tomb of Jang Mui. They can be compared to the inscribed bricks created in China during the Western Jin and Eastern Jin Dynasties that were produced not by family members of the tomb occupants, but by figures who participated in the construction of the tombs based on political and social connections to their occupants. During the mid-fourth century, funeral practices in the former lands of the Nangnang and Daebang Commanderies followed Chinese traditions with the permission of Goguryeo Kingdom. Many of the artifacts found inside these Chinese-style tombs and introduced to the public, including the murals, ink inscriptions, and inscribed bricks, are related to the desire of the family members of the tomb occupants to strengthen their bonds and to share emotions and goals with settler groups. The contents of the inscribed bricks discovered from the Tomb of Jang Mui can be observed in this context.

• Journal of Industrial Convergence
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• v.22 no.6
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• pp.51-59
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• 2024

The purpose of the paper is to suggest government policies that are practically helpful to small business owners in pandemic situations such as COVID-19. To this end, keyword frequency analysis and word cloud analysis of text mining analysis were performed by crawling news articles centered on the keywords "COVID-19 Support for Small Businesses", "The Impact of Small Businesses by Response System to COVID-19 Infectious Diseases", and "COVID-19 Small Business Economic Policy", and major issues were identified through LDA topic modeling analysis. As a result of conducting LDA topic modeling, the support policy for small business owners formed a topic label with government cash and financial support, and the impact of small business owners according to the COVID-19 infectious disease response system formed a topic label with a government-led quarantine system and an individual-led quarantine system, and the COVID-19 economic policy formed a topic label with a policy for small business owners to acquire economic crisis and self-sustainability. Focusing on the organized topic label, it was intended to provide basic data for small business owners to understand the damage reduction policy for small business owners and the policy for enhancing market competitiveness in the future pandemic situation.

• Journal of IKEEE
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• v.28 no.2
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• pp.150-157
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• 2024

In this paper, we propose a novel algorithm for predicting the number of apples on an apple tree using a deep learning-based object detection model and a polynomial regression model. Measuring the number of apples on an apple tree can be used to predict apple yield and to assess losses for determining agricultural disaster insurance payouts. To measure apple fruit load, we photographed the front and back sides of apple trees. We manually labeled the apples in the captured images to construct a dataset, which was then used to train a one-stage object detection CNN model. However, when apples on an apple tree are obscured by leaves, branches, or other parts of the tree, they may not be captured in images. Consequently, it becomes difficult for image recognition-based deep learning models to detect or infer the presence of these apples. To address this issue, we propose a two-stage inference process. In the first stage, we utilize an image-based deep learning model to count the number of apples in photos taken from both sides of the apple tree. In the second stage, we conduct a polynomial regression analysis, using the total apple count from the deep learning model as the independent variable, and the actual number of apples manually counted during an on-site visit to the orchard as the dependent variable. The performance evaluation of the two-stage inference system proposed in this paper showed an average accuracy of 90.98% in counting the number of apples on each apple tree. Therefore, the proposed method can significantly reduce the time and cost associated with manually counting apples. Furthermore, this approach has the potential to be widely adopted as a new foundational technology for fruit load estimation in related fields using deep learning.

• Tunnel and Underground Space
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• v.34 no.3
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• pp.231-247
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• 2024

In the field of high-level radioactive waste disposal targeting deep rock environments, hydraulic characteristic information serves as the most important key factor in selecting relevant disposal sites, detailed design of disposal facilities, derivation of optimal construction plans, and safety evaluation during operation. Since various rock types are mixed and distributed in a small area in Korea, it is important to conduct preliminary work to analyze the hydrogeological characteristics of rock aquifers for various rock types and compile the resulting data into a database. In this paper, we obtained hydraulic conductivity data, which is the most representative field hydraulic characteristic of a high-depth volcanic bedrock aquifer, and also analyzed and evaluated the field data. To acquire field data, we used a high-performance hydraulic testing system developed in-house and applied standardized test methods and investigation procedures. In the process of hydraulic characteristic data analysis, hydraulic conductivity values were obtained for each depth, and the pattern of groundwater flow through permeable rock joints located in the test section was also evaluated. It is expected that the series of data acquisition methods, procedures, and analysis results proposed in this report can be used to build a database of hydraulic characteristics data for high-depth rock aquifers in Korea. In addition, it is expected that it will play a role in improving technical know-how to be applied to research on hydraulic characteristic according to various bedrock types in the future.

• Korean Journal of Acupuncture
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• v.41 no.2
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• pp.33-42
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• 2024

Objectives : The sigma-1 receptor is implicated in stress, depression, psychostimulant sensitization, and addiction vulnerability. Prior studies have indicated that ethanol exposure modulates sigma-1 receptor activity within the Ventral Tegmental Area (VTA). Here, we explore the sub-mechanisms underlying sigma-1 receptor activity induced by HT7 (Shinmun) stimulation in behavioral alterations following acute ethanol (ETOH) administration. Methods : Male Wistar rats were investigated for pro- and anti-inflammatory markers after injection of ETOH (1 g/kg) using cytokine enzyme-linked immunosorbent assay (ELISA)s. After confirming that HT7 stimulation changed the total distance traveled in the open field test (OFT), protein changes in the Ventral tegmental area (VTA) were measured by Western blotting. The expression level of inducible nitric oxide synthase (iNOS) after administration of a sigma-1 receptor antagonist (dihydrobromide 1047; BD1047, 10 mg/kg i.p.) and Shenmen (HT7) stimulation was compared. Results : As a result, acute ETOH administration increased proinflammatory marker levels (TNF-𝛼 and IL-6). HT7 stimulation restored the total distance response after acute ethanol administration. In addition, in the VTA, the levels of a microglial marker (iNOS), sigma-1 receptor and protein kinase C, which are predicted to be involved in up- and downregulation, were restored by HT7 stimulation. In particular, HT7 stimulation modulates iNOS expression through effects similar to BD treatment. This study suggests that the stimulatory effect of HT7 may be driven by microglial activation. Conclusions : Microglial activity is regulated by sigma-1 receptor, and sigma-1 receptor activity is regulated by HT7 stimulation. Significantly, we demonstrate that HT7 stimulation ameliorates behavioral alterations induced by acute ETOH administration through microglial activation within the VTA.

• Research in Plant Disease
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• v.30 no.2
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• pp.199-205
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• 2024

Erwinia amylovora, a causal pathogen of fire blight, has been continuously inducing damage to the apple and pear trees in South Korea since 2015. Farmers apply antibiotics during blooming season to prevent the fire blight. However, continuous use of antibiotics can induce the emergence of resistant bacteria, which consequently reduces control efficacy. In this study, we assessed the minimal inhibitory concentration (MIC) of streptomycin, using a total of 361 E. amylovora isolates that were collected from the six provinces of South Korea from 2019 to 2023. As a result, the MIC of streptomycin ranged from 0.5 to 4 ㎍/ml and the strA-strB genes were not identified from the isolates. The MIC was higher in the isolates from Gyeonggi-do, Gangwondo, and Chungcheongbuk-do compared to those from other three provinces. These results may bring broad attention to the use of streptomycin and aid in developing a management protocol for the occurrence of fire blight in South Korea.

• Korean Journal of Clinical Laboratory Science
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• v.56 no.2
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• pp.115-124
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• 2024

The emergence and spread of Staphylococcus aureus, which is resistant to quinolone antibacterial agents, has made it difficult to treat infectious diseases. Accordingly, this study examined the molecular epidemiological characteristics of quinolone-resistant S. aureus (QRSA) to obtain helpful data for treatment. Mutations in mecA and SCCmec typing, gyrA, and gyrB genes were investigated for QRSA strains isolated from the blood culture specimens at a general hospital in Daejeon Metropolitan City. The ciprofloxacin-resistant strains in SCCmec typing were II (44 strains, 73%), IVa (five strains, 8%), III, and V (one strain, 2%); the non-typeable strains (11 strains, 18%), and levofloxacin (LVX) and moxifloxacin (MXF) strains were II (44 strains, 73%), IVa (five strains, 8%), III, and V (one strain, 2%); the non-typeable strains were 10 (17%). In both gyrA and gyrB regions, there were 58 mutations, or 96.7%. In LVX, there were 56 mutations or 93.3%, and in MXF, there were 57 mutations or 95%. Twelve mutations, six mutations each in gyrA and gyrB, were identified for the QRSA strain. The resistance rate for the quinolone antibiotics of QRSA studied was approximately 98%, and 12 mutations, six each in gyrA and gyrB, were identified in the QRSA strain. Therefore, the rational use of antibiotics needs to be improved.

• Journal of Navigation and Port Research
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• v.48 no.3
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• pp.164-170
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• 2024

The light buoy, a floating structure at sea, is prone to drifting due to external factors such as oceanic weather. This makes it imperative to monitor for any loss or displacement of buoys. In order to address this issue, the Ministry of Oceans and Fisheries aims to issue alerts for buoy displacement by analyzing historical buoy position data to detect patterns. However, periodic lifting inspections, which are conducted every two years, disrupt the buoy's location pattern. As a result, new patterns need to be analyzed after each inspection for location monitoring. In this study, buoy position data from various periods were analyzed using convex hull and distance-based clustering algorithms. In addition, the optimal data collection period was identified in order to accurately recognize buoy location patterns. The findings suggest that a nine-week data collection period established stable location patterns, explaining approximately 89.8% of the variance in location data. These results can improve the management of light buoys based on location patterns and aid in the effective monitoring and early detection of buoy displacement.

• Journal of Navigation and Port Research
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• v.48 no.3
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• pp.221-231
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• 2024

The aim of this study was to enhance the safety and care of mental health for seafarer working in passenger ship workspaces. Brightness, color values, and color distribution were investigated with issues and improvement ways identified through seafarers' interviews. Firstly, previous studies, references, current policy, regulations, and accident case studies were reviewed. Color compositions of wheelhouse and engine room of M Ship were then surveyed in the field. Color values of each space were analyzed using a colorimeter. Colormeter analysis of brightness and color measurements in the wheelhouse and engine areas indicated that ceilings, walls, and floors were generally dark, with the engine area being very dark. Regarding color, green and blue were distributed in the ceiling of the wheelhouse and engine area, while red and blue were in the walls and floors of the wheelhouse and engine area. According to interviews with seafarers currently working at engine rooms, they responded about their experience of near miss incidents due to a decrepit indoor environment, a dark working environment, slippery and bright flooring, and stairs that were not suitable for domestic users. Thus, when installing lighting in the future, the brightness of the space should be improved by distinguishing between night and day. A lighting plan considering the location of lighting, level of shadow formation and contrast, reflectance of the facility, glare, color of light, floor color plan, and material selection is needed. A facility design suitable for domestic users is also needed.