The Yunggimuntogi(Treasure No. 597) has been known to be recovered at Yeongseondong Shell Mounds, Busan in 1933 during the Japanese colonial period. This artifact is characterized by a short spout attached to one side of the mouth rim as well as a V-shaped clay stripe on the upper body part, which is the only earthenware designated as national cultural heritage from the prehistoric period. In order to prepare for the earthquakes that have recently become more frequent, this study has precisely diagnosed the conservation status and stabilized the artifact through scientific conservation treatment. As a result of the precise diagnosis of the preservation status, cracks and losses were observed in the spout, the mouth rim, and the base. In some portion of the raised pattern decorations, loss of fine pieces raised concerns over the secondary damage. The C·T image analysis has shown that the earthenware had been once glued and restored from dozens of broken pieces. From the sites restored in the past, the peeling of surface colored layer and the fine cracks between the restoration material and the earthenware clay were observed due to the aging of the restoration material. Furthermore, the inherent color and texture of the earthenware was altered by excessive color matching. The damaged and restored sites were concentrated on the left side, the rear side, and the right side. The damages were more severe on the base than the body portion. In the past, gypsum(CaSO4) had been mainly used as restoration material, and synthetic resin had been partially used for joining and reinforcing the pieces. On the surface of the restoration sites, it is presumed that lead chromate(PbCrO4) yellow modern pigment was used for color matching. The precise diagnosis has revealed that the restoration material in the past has been stabilized by interlocking with the earthenware clay for a long time. Therefore, in this conservation treatment, the coloring layer of the excessively painted surface was washed to recover the original color and texture of the earthenware, and the physically vulnerable parts of the sites restored in the past were mainly targeted for joining and restoration. The conservation treatment has proceeded in the order of cleaning, joining and restoration, and color matching, and materials and methods suitable for the artifacts were selected and applied through a preliminary experiment. The survey on conservation status before the treatment as well as the conservation treatment process have been systematically recorded and documented to provide basic data for further continuous conservation and maintenance by collecting institutions.
Journal of the Korean Society of Marine Environment & Safety
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v.30
no.5
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pp.490-498
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2024
Ammonia is an eco-friendly marine fuel that does not emit carbon dioxide and is a primary contributor to global warming. Despite its benefits, ammonia poses significant risks owing to its toxicity, explosiveness, and corrosiveness, thus necessitating robust safety measures to manage its potential leaks on ships. This study investigates the characteristics of ammonia leaks and ventilation dynamics in a ship fuel-preparation room, with emphasis on the ef ect of varying the positions of air supply and exhaust outlets. The leakage rate is set at 0.1 kg/s, with a ventilation rate of 30 ACH (air changes per hour). The scenario with air supply at Aft - Top - Stbd and exhaust at Fwd - Top - Stbd (Case 1) results in the highest average ammonia concentration after 100 s. Conversely, the scenario with air supply at Aft - Bottom - Stbd and exhaust at Fwd - Bottom - Port (Case 14) results in the lowest concentration. After 50 s, Case 1 indicate ammonia concentrations exceeding 1500 ppm toward Aft, whereas Case 14 indicate a consistent stagnation zone along the Fwd wall. The distribution of ammonia concentration and velocity varies by height owing to the positioning of the air supply and exhaust outlets as well as the equipment configuration, thus resulting in higher concentrations in areas with slower airflow. When a small amount of ammonia leaked at 0.1 kg/s for 10 s, explosive gas formed near the leak point at a height of approximately 1 m, thus indicating an extremely low risk of explosion from slight ammonia leaks. This study confirms that the optimal combination of air supply and exhaust-duct positions can effectively control ammonia concentration. This finding is expected to contribute to the establishment of design standards and ensure safety when using ammonia as marine fuel.
With the advancement of Fourth Industrial Revolution technologies, the maritime sector is actively developing technologies and policies related to autonomous ships. This study aims to identify and prioritize various factors influencing the adoption of Maritime Autonomous Surface Ships (MASS) by conducting surveys among experts and professionals in the maritime industry. To achieve this, relevant factors related to the adoption of autonomous ships were examined through a review of previous research, and survey questions for pairwise comparison using the Analytic Hierarchy Process (AHP) were developed based on the insights of industry experts. The pairwise comparison items were categorized into four main factors at the highest level, with each factor further subdivided into sub-factors to establish their priorities. The survey results, which distinguish between shipowner and non-shipowner groups, reveal that, among the main factors-economic, legal and policy, safety and security, and technical-the shipowner group prioritized economic factors, though the difference from safety and security factors was relatively minor. In contrast, the non-shipowner group rated safety and security factors as the highest priority, with economic factors ranked lowest. Further analysis of the sub-factors across both groups indicated that, for economic factors, the increase in operational profit was most critical; for legal and policy factors, regulations related to structural equipment were paramount; for safety and security factors, the risk of equipment and machinery failure was key; and for technical factors, accident response technology was most significant. This study provides strategic insights for stakeholders by systematically analyzing decision factors for adopting MASS through AHP analysis. The findings enable companies to establish efficient resource allocation and investment strategies, while policymakers can utilize the results to guide policy and regulatory directions. Moreover, the study contributes to the existing body of knowledge by solidifying the framework of determinants for MASS adoption, incorporating commercial considerations alongside technical and legal factors. The results not only offer fundamental information for future research but also provide a rationale for informed decision-making in the shipbuilding and maritime industries regarding MASS adoption and operation.
The Journal of the Convergence on Culture Technology
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v.10
no.4
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pp.175-181
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2024
The U.N. Security Council's North Korea Sanctions Committee estimated that the amount of North Korea's cyberattacks on virtual asset-related companies from 2017 to 2023 was about 4 trillion won. North Korea's cyberattacks have secured funds through cryptocurrency hacking as it has been restricted from securing foreign currency due to economic sanctions by the international community, and it also shows the form of technology theft against defense companies, and illegal assets are being used to maintain the Kim Jong-un regime and develop nuclear and missile development. When North Korea conducted its sixth nuclear test on September 3, 2017, and declared the completion of its national nuclear armament following the launch of an intercontinental ballistic missile on November 29 of the same year, the U.N. imposed sanctions on North Korea, which are considered the strongest economic sanctions in history. In these difficult economic situations, North Korea tried to overcome the crisis through cyberattacks, but as a result of analyzing the changes through the North's cyber attack cases, the strategic goal from the first period from 2009 to 2016 was to verify and show off North Korea's cyber capabilities through the neutralization of the national network and the takeover of information, and was seen as an intention to create social chaos in South Korea. When foreign currency earnings were limited due to sanctions against North Korea in 2016, the second stage seized virtual currency and secured funds to maintain the Kim Jong-un regime and advance nuclear and missile development. The third stage is a technology hacking of domestic and foreign defense companies, focusing on taking over key technologies to achieve the five strategic weapons tasks proposed by Chairman Kim Jong-un at the 8th Party Congress in 2021. At the national level, security measures for private companies as well as state agencies should be established against North Korea's cyberattacks, and measures for legal systems, technical problems, and budgets related to science are urgently needed. It is also necessary to establish a system and manpower to respond to the ever-developing cyberattacks by focusing on cultivating and securing professional manpower such as white hackers.
Satellite imagery contains various elements such as clouds, cloud shadows, and terrain shadows. Accurately identifying and eliminating these factors that complicate satellite image analysis is essential for maintaining the reliability of remote sensing imagery. For this reason, satellites such as Landsat-8, Sentinel-2, and Compact Advanced Satellite 500-1 (CAS500-1) provide Usable Data Masks(UDMs)with images as part of their Analysis Ready Data (ARD) product. Precise detection of clouds and their shadows is crucial for the accurate construction of these UDMs. Existing cloud and their shadow detection methods are categorized into threshold-based methods and Artificial Intelligence (AI)-based methods. Recently, AI-based methods, particularly deep learning networks, have been preferred due to their advantage in handling large datasets. This study aims to analyze the applicability of constructing UDMs for high-resolution satellite images through deep learning-based cloud and their shadow detection using open-source datasets. To validate the performance of the deep learning network, we compared the detection results generated by the network with pre-existing UDMs from Landsat-8, Sentinel-2, and CAS500-1 satellite images. The results demonstrated that high accuracy in the detection outcomes produced by the deep learning network. Additionally, we applied the network to detect cloud and their shadow in KOMPSAT-3/3A images, which do not provide UDMs. The experiment confirmed that the deep learning network effectively detected cloud and their shadow in high-resolution satellite images. Through this, we could demonstrate the applicability that UDM data for high-resolution satellite imagery can be constructed using the deep learning network.
Purpose of Research: The purpose of this study is to emphasize that the understanding of the elderly must change to a more positive one as a way to resolve social problems caused by aging. And this study proposes understanding and education about the human rights of the elderly as one of the measures. Research Contents and Methods: The research aims to achieve its purpose through the following contents and methods. First, this study examines the issue of elder abuse that occurs in old age to understand the importance of human rights for the elderly in the context of aging. One of the causes of elder abuse is the lack of understanding of the human rights of the elderly. What are the rights of the elderly? To this end, the text explains the understanding of the human rights of the elderly according to UNESCO, as well as the policy on the human rights of the elderly in Korea. Based on this, the importance of human rights education for the elderly was argued. This is because an increase in awareness has a significant impact on improving the human rights of the elderly. In particular, this study argues that the church is also affected by the aging phenomenon. Therefore, it is argued that the church should also take an interest in the human rights of the elderly. And it was emphasized that human rights education for the elderly should be approached from a Christian perspective. Results/Conclusions: In conclusion, this study emphasizes the importance of protecting the human rights of the elderly and proposes three aspects of christian human rights for the elderly. First, there is a need for self-dignity education for the elderly. Second, it is necessary to learn about and empathize with the lives of the elderly in order to recognize and respect their rights across different generations. Third, education on mutual respect was proposed as a means to alleviate conflicts between the elderly and other generations, and to promote harmony and respect for rights. It is believed that this will play an important role in bridging the generation gap caused by aging. Unfortunately, this study has a limitation in that it does not address methodological approaches and education, as it primarily focuses on theoretical proposals. Therefore, it is hoped that further studies will continue to be conducted to develop specific alternatives aimed at enhancing the human rights of the elderly.
Jaewon Hur;Changhui Lee;Doochun Seo;Jaehong Oh;Changno Lee;Youkyung Han
Korean Journal of Remote Sensing
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v.40
no.4
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pp.387-396
/
2024
Most very high-resolution (VHR) satellite images provide rational polynomial coefficients (RPC) data to facilitate the transformation between ground coordinates and image coordinates. However, initial RPC often contains geometric errors, necessitating correction through matching with ground control points (GCPs). A GCP chip is a small image patch extracted from an orthorectified image together with height information of the center point, which can be directly used for geometric correction. Many studies have focused on area-based matching methods to accurately align GCP chips with VHR satellite images. In cases with seasonal differences or changed areas, edge-based algorithms are often used for matching due to the difficulty of relying solely on pixel values. However, traditional edge extraction algorithms,such as canny edge detectors, require appropriate threshold settings tailored to the spectral characteristics of satellite images. Therefore, this study utilizes deep learning-based edge information that is insensitive to the regional characteristics of satellite images for matching. Specifically,we use a pretrained pixel difference network (PiDiNet) to generate the edge maps for both satellite images and GCP chips. These edge maps are then used as input for normalized cross-correlation (NCC) and relative edge cross-correlation (RECC) to identify the peak points with the highest correlation between the two edge maps. To remove mismatched pairs and thus obtain the bias-compensated RPC, we iteratively apply the data snooping. Finally, we compare the results qualitatively and quantitatively with those obtained from traditional NCC and RECC methods. The PiDiNet network approach achieved high matching accuracy with root mean square error (RMSE) values ranging from 0.3 to 0.9 pixels. However, the PiDiNet-generated edges were thicker compared to those from the canny method, leading to slightly lower registration accuracy in some images. Nevertheless, PiDiNet consistently produced characteristic edge information, allowing for successful matching even in challenging regions. This study demonstrates that improving the robustness of edge-based registration methods can facilitate effective registration across diverse regions.
Hyunjoo Oh;Seunghee Lee;Misun Kim;Sang Taek Heo;Jeong Rae Yoo
The Korean Journal of Medicine
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v.99
no.3
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pp.149-157
/
2024
Background/Aims: Carbapenems are recommended for treating bacteremia caused by extended-spectrum β-lactamase (ESBL) producing Enterobacteriaceae (ESBL-E). However, this has resulted in a significant rise in the utilization of carbapenems in cases of ESBL-E infection. We evaluated the clinical outcomes of patients with ESBL-E bacteremia treated with non-carbapenem antimicrobials. Methods: We conducted a retrospective case-control study of a cohort of patients with documented ESBL-E bacteremia from January 2021 to December 2021. The patients were divided into two groups according to whether they received non-carbapenem or carbapenem therapy. The rates of treatment failure, 30-day mortality and microbiologic failure, and the durations of hospitalization and of antimicrobial therapy were compared between the two groups. Antimicrobial susceptibility testing and phenotypic identification of ESBL-E were performed using the Vitek 2 system. Results: Of 118 patients with ESBL-E bacteremia, 54 received non-carbapenem drugs (non-carbapenem group [NCG]) and 64 received carbapenems (carbapenem group [CG]). Treatment failure at 30 days occurred in 16.7% of the patients in the NCG and in 18.8% in the CG (p = 0.65). The 30-day mortality rate was 14.8% in the NCG and 17.2% in the CG (p = 0.63). Extra-urinary tract infection and prior antimicrobial therapy within 30 days were risk factors for treatment failure in patients with ESBL-E bacteremia. The clinical outcomes did not differ significantly between the two groups, challenging the prevailing preference for carbapenems in the treatment of ESBL-E bacteremia. Conclusions: Non-carbapenem antimicrobials such as piperacillin/tazobactam are recommended for patients with mild ESBL-E bacteremia in South Korea.
KSCE Journal of Civil and Environmental Engineering Research
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v.44
no.4
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pp.519-529
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2024
Vehicle toll discounts on private roads are categorized into two types: non-sunset and sunset. Sunset types refer to provisions in which all or part of a law loses its effect upon a specific legislator-set deadline. Vehicles eligible for 'sunset' discounts include cargo vehicles operating late at night and eco-friendly vehicles powered by electricity or hydrogen. Korean government has subsidized all reduced toll fees for vehicles classified as non-sunset types on private roads to operators, but no subsidies have been provided for toll reductions on sunset vehicles. The rapid increase in electric hydrogen vehicles escalates the burden of reduced toll revenue on private road operators. This study analyzed traffic volume and toll reduction data from eight private road operators nationwide as of the end of 2023 to propose the necessity and method of supporting sunset-type toll reduction subsidies. In 2022, the subsidy for non-sunset types amounted to 87.5 billion won, or 18.6 % of total traffic revenue. The toll exemption and reduction ratio under the concession agreement ranged from 4.0 % to 5.65 % of total traffic volume for each operator. Although the proportion of vehicles exempted from sunset traffic increased from 0.85 % in 2017 to 2.79 % in 2022, the reduction amount ratio reached 4.2 % (KRW 25.5 billion) of total traffic revenue in 2022. The escalating number of registered eco-friendly vehicles is gradually causing operating profit losses on private roads. In alignment with the government's policy to expand eco-friendly vehicles, it is imperative to consider including vehicles eligible for toll reductions listed under the sunset category for subsidy payments. The study established a minimum ratio for toll reduction assistance at 4.0 %, agreed upon between the road authorities and private operators. Three policy alternatives were proposed to ensure preservation of amounts exceeding this threshold for sustaining adequate toll revenue for private road operators.
Jae Young Kim;Wung Joo Song;Bong-Ok Kim;Harvey L. Levy;Sook Za Kim
Journal of The Korean Society of Inherited Metabolic disease
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v.24
no.1
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pp.26-36
/
2024
Lesch-Nyhan syndrome (LNS) is an Clinical symptoms can range from mild to severe depending on residual enzyme activity and genetic mutations. In Korea, 27 cases of LNS have been reported. We report the results of an 11-year comparative follow-up of two cases of children who visited because of pink diapers, one who died from LNS with no residual enzymes and one case with partial residual enzymes. Case 1: During follow-up, seizures, developmental delay, and regression were observed. The boy experienced insomnia and severe constipation. He exhibited self-mutilating behavior, a grand mal seizure, scoliosis with severe spasticity, truncal hypotonia, choreoathetoid movement, and ataxia. After prolonged emaciation, staghorn calculi, and recurrent pneumonia, the patient died suddenly at the age of 11 years. Genetic testing revealed a hemizygous HPRT1 variant (c.151C>T (p.Arg51Ter)). Uric acid level was 10.5 mg/dL (normal range: ~3.5-7.9) and HPRT activity 0.02 nmol/hr/spot (10-23.8 nmol/hr/spot). Case 2: During follow-up, the patient remained underweight. He has normal intelligence attending primary school. Self-mutilation symptoms were not observed. Regular renal ultrasonography did not reveal urolithiasis. The patient had a hemizygous HPRT1 variant (c.35A>C (p.Asp12Ala)). Uric acid level and HPRT activity were 11 mg/dL and 0.56 nmol/hr/spot. Pink diapers after the neonatal period and severe protein aversion, neurological problems, and kidney stones, differentiation for LNS is necessary. When suspected, serum uric acid levels, HPRT enzyme activity, and molecular biological tests may be helpful in predicting the prognosis of LNS.
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