• Journal of the Korean Society for Heat Treatment
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• v.36 no.4
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• pp.198-205
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• 2023

We investigated the effects of Al and Mg on the microstructure and hardness of the coating layer of galvanized steel sheets, by thermodynamic calculations, X-ray diffraction, scanning electron microscopy, and Vickers hardness tests of Zn-0.2Al, Zn-6Al-2Mg, and Zn-10Al-5Mg coating layers. Regardless of the alloy composition of the galvanizing bath, a Fe-Al layer was observed between the coating layer and steel sheet. The Zn-0.2Al coating layer consists of major h.c.p. Zn phase and minor f.c.c. Al phase. The fraction of f.c.c. Al phase (containing a significant amount of Zn) of the coating layer increases with increasing the chemical composition of Al of the galvanizing bath. The h.c.p. MgZn₂ phase was formed in the Al/Mg-containing Zn-6Al-2Mg and Zn-10Al-5Mg coating layers, forming Zn-Al-MgZn₂ eutectic microstructure. The primary MgZn₂ phase was additionally formed in the Zn-10Al-5Mg coating layers containing high concentrations of Al and Mg. The Vickers hardness values of Zn-0.2Al, Zn-6Al-2Mg, and Zn-10Al-5Mg coating layers were 59.1 ± 1.2 HV, 161.2 ± 5.7 HV, and 215.5 ± 40.3 HV, respectively. The addition of Al and Mg increased the hardness of the coating layer by increasing the fraction of the Al phase (containing Zn) and MgZn₂ intermetallic compound, which were harder than the Zn phase.

• Journal of Korean Tunnelling and Underground Space Association
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• v.25 no.4
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• pp.331-344
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• 2023

The performance of the existing tunnel scanning system was analyzed through the post-evaluation of NETIS (New Technology Information System) and Inspection Support Technology Performance Catalog. Suggestions for improvement and development direction of the tunnel scanning system were deduced. As new technology of Japan gave priority to providing user-centered information, it was possible to objectively compare and analyze the characteristics of various tunnel scan systems through post-evaluation of NETIS and standard test methods in the Inspection Support Technology Performance Catalog. Construction New Technology of Korea was centered on suppliers of technology certification, making it impossible to objectively compare the performance of tunnel scanning systems. The performance was compared and evaluated indirectly by comparing the specifications of the camera, which is a core device of Japan's tunnel scanning system. For the future development of tunnel scanning systems, high-resolution and fast exposure performance of cameras and corresponding high-intensity lighting devices are required. For this purpose, it is necessary to make an experimental environment in which the performance of the camera and lighting can be analyzed indoors.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.6D
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• pp.917-926
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• 2006

Transportation Economies of scale are the essential properties of hub networks. One critical property of the hub network design problem is to quantify cost savings which stem from economies of scale, the costs of operating hub facilities and opportunity costs associated with delays stemming from consolidation of traffic flows. Due to the NP-complete property of the hub location problem, however, most previous researchers have focused on the development of heuristic algorithms for approximate solutions. The purpose of this paper is to develop a hub network design model considering transportation economies of scale from the consolidation of traffic flows. The model is designed to consider the uniqueness of hub networks and to determine several cost components. The heuristic algorithms for the developed model are suggested and the results of the model are compared with recently published studies using real data. Results of the analysis show that the proposed model reflects transportation economies of scale due to consolidation of flows. This study can form not only the theoretical basis of an effective and rational hub network design but contribute to the assessment of existing and planned logistics systems.

• Journal of Korean Tunnelling and Underground Space Association
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• v.25 no.6
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• pp.555-567
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• 2023

The cracks in the tunnel are currently determined through visual inspections conducted by inspectors based on images acquired using tunnel imaging acquisition systems. This labor-intensive approach, relying on inspectors, has inherent limitations as it is subject to their subjective judgments. Recently research efforts have actively explored the use of deep learning to automatically detect tunnel cracks. However, most studies utilize public datasets or lack sufficient objectivity in the analysis process, making it challenging to apply them effectively in practical operations. In this study, we selected test datasets consisting of images in the same format as those obtained from the actual inspection system to perform an objective evaluation of deep learning models. Additionally, we introduced ensemble techniques to complement the strengths and weaknesses of the deep learning models, thereby improving the accuracy of crack detection. As a result, we achieved high recall rates of 80%, 88%, and 89% for cracks with sizes of 0.2 mm, 0.3 mm, and 0.5 mm, respectively, in the test images. In addition, the crack detection result of deep learning included numerous cracks that the inspector could not find. if cracks are detected with sufficient accuracy in a more objective evaluation by selecting images from other tunnels that were not used in this study, it is judged that deep learning will be able to be introduced to facility safety inspection.

• Journal of Korean Medicine Rehabilitation
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• v.34 no.2
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• pp.135-147
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• 2024

Objectives The aim of this study is to investigate the research trends in traditional Chinese medicine (TCM) treatment for pes anserine bursitis using the search results from the China National Knowledge Infrastructure (CNKI). Methods We searched for clinical studies on pes anserine bursitis in the CNKI electronic database. We analyzed the publication year, study type, participant demographics, treatment methods and duration, evaluation criteria, adverse events, and the results of each article. Results Seventeen studies published from January 1, 2014 to January 1, 2024 were selected. Among the 17 selected studies, 14 were randomized controlled trials and 2 were case reports. The most frequently used treatment intervention was acupuncture. Nine types of acupuncture were identified, including electro-acupuncture, pharmacopuncture, acupotomy, floating acupuncture, and other new types of acupuncture. The most commonly used evaluation outcome was effective rate. Conclusions Various TCM treatments for pes anserine bursitis were introduced, and we could identify the effectiveness of TCM in treating pes anserine bursitis. However, it is anticipated that more well-designed and high-quality evaluation studies will be required in the future.

• Food Science and Preservation
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• v.30 no.3
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• pp.446-458
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• 2023

In this study, the quality characteristics of the representative domestic garlic varieties in Korea (Namdo, Daeseo, Hongsan, and Uiseong garlic) were compared and their changes according to the aging process of black garlic were investigated. Each garlic sample was aged for 15 days according to the manufacturing process of black garlic. The total phenolic compound contents were 85.2-109.7 mg GAE/100 g in raw garlic samples, which increased with the aging period, and Hongsan garlic showed the highest content in both raw and aged black garlic. The content of alliin was 848.3-1,087.5 mg/100 g in raw garlic samples, and it decreased significantly on the 5th day (7.3-20.6 mg/100 g) in aged garlic. The contents of GSAC (γ-glutamyl-S-allyl-cysteine) and GS1PC (γ-glutamyl-S-1-propenyl-l-cysteine) in raw garlic samples were 202.1-541.0 mg/100 g and 311.1-474.3 mg/100 g, respectively, but gradually decreased during the aging process. On the other hand, the SAC (S-allyl-cysteine) and S1PC (S-1-propenyll-cysteine) contents of raw garlic were very low in all four varieties, but they were highest on the 5th day of aging and tended to decrease thereafter. On the 5th day of aging, the SAC content of Namdo garlic (208.0 mg/100 g) was highest (p<0.05), and S1PC content was significantly higher in Uiseong garlic (66.2 mg/100 g) than the others.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.2
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• pp.106-118
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• 2024

Interest in personal mobility has increased with the growing significance of first-mile and last-mile connectivity in smart mobility services. This study aims to propose a methodology for setting the service area of free-floating personal mobility sharing services and determining the optimal fleet size for the selected shared service area to address first-mile and last-mile challenges. We utilize population data, smart card data, and building data. Additionally, we estimate latent demand by incorporating age-specific and distance-specific utilization rates based on personal mobility device data. Along with the latent demand, we determine the service area based on locations of transit stops and buildings. We apply the proposed methodology to Yeongjong Island, Incheon. As a result, dense residential areas and popular beachside locations are designated as personal mobility sharing service areas. The fleet size for personal mobility in the dense residential service area is determined to be 1,022 units, while the fleet size for the beachside service area is set at 269 units.

• Journal of Life Science
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• v.34 no.5
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• pp.320-332
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• 2024

The aims of this study were to compare the differences in hemodynamics between cigarette smoking and using heated tobacco products (HTPs) and to determine the acute effects of using HTPs on cardiac autonomic regulation. Another goal was to examine the acute cardiac autonomic responses when using different tobacco sticks in HTPs. Sixteen healthy male smokers completed an open-label, randomized, crossover trial consisting of non-smoking (NS), cigarette smoking, and the use of two different HTPs (IQOS with HEETS; lil SOLID with Fiit). Sub-trials, which included NS, lil SOLID with Fiit, and lil SOLID with HEET, were performed on eight smokers among the total subjects. Hemodynamic variables, such as systolic blood pressure (SBP) and diastolic blood pressure (DBP), and heart rate variability were measured before, during, and 30 minutes after using each tobacco product. Using HTPs resulted in a significant increase in both SBP and DBP, comparable to smoking cigarettes. Cardiac sympathetic activity significantly increased, and cardiac vagal tone (CVT) significantly decreased after acute exposure to HTP aerosol, similar to the effects of cigarette smoke exposure. Furthermore, differences in the withdrawal of CVT were observed when using different tobacco sticks in the same HTPs. The findings of this study indicate that acute exposure to HTP aerosol increases the hemodynamic burden and disrupts cardiac autonomic balance, similar to exposure to cigarette smoke. Moreover, depending on the type of tobacco stick inserted into the HTP device, acute withdrawal of CVT may have been enhanced.

• Journal of Korean Tunnelling and Underground Space Association
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• v.19 no.1
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• pp.95-107
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• 2017

In this study, a preliminary study was undertaken for development of a tunnel incident automatic detection system based on a machine learning algorithm which is to detect a number of incidents taking place in tunnel in real time and also to be able to identify the type of incident. Two road sites where CCTVs are operating have been selected and a part of CCTV images are treated to produce sets of training data. The data sets are composed of position and time information of moving objects on CCTV screen which are extracted by initially detecting and tracking of incoming objects into CCTV screen by using a conventional image processing technique available in this study. And the data sets are matched with 6 categories of events such as lane change, stoping, etc which are also involved in the training data sets. The training data are learnt by a resilience neural network where two hidden layers are applied and 9 architectural models are set up for parametric studies, from which the architectural model, 300(first hidden layer)-150(second hidden layer) is found to be optimum in highest accuracy with respect to training data as well as testing data not used for training. From this study, it was shown that the highly variable and complex traffic and incident features could be well identified without any definition of feature regulation by using a concept of machine learning. In addition, detection capability and accuracy of the machine learning based system will be automatically enhanced as much as big data of CCTV images in tunnel becomes rich.

• Tuberculosis and Respiratory Diseases
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• v.61 no.3
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• pp.233-238
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• 2006

Study objectives: To determine the factors associated with mortality after an in-hospital diagnosis of tuberculosis in a region with low levels of HIV coinfection. Methods: From January 2003 to December 2004, all subjects who were > 15 years of age and had received a diagnosis of tuberculosis were registered. The clinical, radiological and laboratory aspects of the patients who died (n=27) were compared with those of an age and gender matched control population(n=54). Logistic regression analyses were carried out, which included age, gender, hospital admission source, initial site of admission, dyspnea, general weakness and initial laboratory data. Results: The mean age of the patients was $60{\pm}16$ years and male patients outnumbered female patients. Univariate analysis identified hemoglobin, blood urea nitrogen, albumin, cholesterol, aspartate aminotransferase (AST), C-reactive protein and the risk factors for tuberculosis to be significantly associated with mortality. Among the characteristics of disease presentation and treatment, emergency department admission, intensive care unit, disease severity, general weakness and dyspnea at the time of admission were associated with mortality. Multiple regression analysis revealed the initial management in the intensive care unit and lower serum albumin to be independently associated with mortality. Conclusion: The markers of disease chronicity and severity appear to be associated with in-hospital mortality. Identifying potentially reversible factors such as malnutrition and respiratory failure suggests specific intervention that might lead to an improvement in the patients' outcomes.