• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.12 no.4
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• pp.337-348
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• 2007

Characteristics in distributions of T, S, nutrients, chlorophyll ${\alpha}$ concentrations and meso-zooplankton abundances and the relations among these parameters were investigated with the data collected in Asan Bay around the rainy season from May 24 till August 25, 2006 at about 10 days interval. Freshwater input during the rainy season clearly affected the distributions of zooplankton and phytoplankton (chlorophyll ${\alpha}$). Freshwater discharge resulted in high nutrients decreased zooplankton abundances. On the contrary, chlorophyll ${\alpha}$ concentrations increased at the end of the rainy season. It seemed that the increase of chlorophyll ${\alpha}$ concentrations was the result of the decreased zooplankton and enriched nutrients caused by freshwater discharges. Seawater temperatures were certainly the reason for the zooplankton succession. However, overall abundance of zooplankton and abundances of some zooplankton such as Noctiluca scintillans, Acartia pacifica, and Sagitta crassa seemed to be influenced by lowered salinity caused by heavy rain rather than seawater temperatures.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.13 no.4
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• pp.308-319
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• 2008

Temporal variations in plankton assemblages and environmental factors in Asan Bay and their relationships were examined with the data collected from February till early June, 2005. Seawater temperatures showed typical pattern of temporal change observed in temperate waters. Salinity variation was minor. Phytoplankton biomass showed two peaks, one in February only in the inner part of the bay and the other in May in the whole bay. Phytoplankton succession was clearly shown with the increase of seawater temperatures. Diatom (Bacillariophyceae) dominated in February, diatom and cryptomonads (Cryptophyceae) prevailed in May, and dinoflagellates (Dinophyceae) was most abundant in June. Spring bloom in Asan Bay occurred about one month earlier than those observed in temperate seas. Among the inorganic nutrients (N, P and Si), only silicate concentration showed a significant negative correlation with phytoplankton biomass, indicating the sink of this nutrient in the bay to be the uptake by phytoplankton. Nitrate concentration seemed to be a limiting factor in this bay during the study period. Mesozooplankton abundances showed a significant positive correlation with seawater temperatures and a significant negative correlation with phytoplankton biomass. Increase of mesozooplankton abundance followed phytoplankton increase with the time lag of about two months. This increase of zooplankton seemed to be the result of increased seawater temperatures and food.

• Journal of Korean Academy of Nursing
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• v.54 no.2
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• pp.237-249
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• 2024

Purpose: This study aimed to examine the adequacy of current nurse staffing levels by identifying nursing activities and workload. Methods: The study used a mixed-method design. A nursing activity survey was conducted using the work sampling method over 2 working days with 119 general ward nurses. A focus group interview was conducted with 12 nurses. Quantitative and qualitative data were analyzed using SPSS 20.0 and content analysis, respectively. Results: The most amount of time was spent on medication (in direct nursing) and electronic medical record documentation (in indirect nursing). The appropriate nurse-to-patient ratio is 1:7.7 for the day shift, 1:9.0 for the evening shift, and 1:11.9 for the night shift. However, the current nurse-to-patient ratio is 1:9.4, 1:11.0, and 1:13.8 for the day, evening, and night shifts, respectively. Therefore, the current nurse staffing level is insufficient for the workload. In the focus group interview, the main reasons cited for being unable to complete tasks within working hours were communication and coordination, and the nursing electronic medical record. The essential nursing activities of basic nursing and emotional support were overlooked owing to a heavy workload. Therefore, an adequate nurse staffing level should be higher than the measured quantitative workload. Conclusion: These results suggest the general wards of tertiary hospitals should evaluate the adequacy of their current nurse staffing and allocate sufficient nurses to improve patient safety and nursing care quality.

• Korean Journal of Construction Engineering and Management
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• v.25 no.1
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• pp.32-41
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• 2024

In the construction industry, not only safety accidents, but also various complex risks such as construction delays, cost increases, and environmental pollution occur, and management technologies are needed to solve them. Among them, process risk management, which directly affects the project, lacks related information compared to its importance. This study tried to develop a MATM tunnel process risk classification system to solve the difficulty of risk information retrieval due to the use of different classification systems for each project. Risk collection used existing literature review and experience mining techniques, and DB construction utilized the concept of natural language processing. For the structure of the classification system, the existing WBS structure was adopted in consideration of compatibility of data, and an RBS linked to the work species of the WBS was established. As a result of the research, a risk classification system was completed that easily identifies risks by work type and intuitively reveals risk characteristics and risk factors linked to risks. As a result of verifying the usability of the established classification system, it was found that the classification system was effective as risks and risk factors for each work type were easily identified by user input of keywords. Through this study, it is expected to contribute to preventing an increase in cost and construction period by identifying risks according to work types in advance when planning and designing NATM tunnels and establishing countermeasures suitable for those factors.

• Tunnel and Underground Space
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• v.34 no.3
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• pp.208-217
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• 2024

There is so much research effort for developing and implementing deep learning-based surveillance systems to manage health and safety issues in construction sites. Especially, the development of deep learning-based object detection in various environmental changes has been progressing because those affect decreasing searching performance of the model. Among the various environmental variables, the accuracy of the object detection model is significantly dropped under low illuminance, and consistent object detection accuracy cannot be secured even the model is trained using low-light images. Accordingly, there is a need of low-light enhancement to keep the performance under low illuminance. Therefore, this paper conducts a comparative study of various deep learning-based low-light image enhancement models (GLADNet, KinD, LLFlow, Zero-DCE) using the acquired construction site image data. The low-light enhanced image was visually verified, and it was quantitatively analyzed by adopting image quality evaluation metrics such as PSNR, SSIM, Delta-E. As a result of the experiment, the low-light image enhancement performance of GLADNet showed excellent results in quantitative and qualitative evaluation, and it was analyzed to be suitable as a low-light image enhancement model. If the low-light image enhancement technique is applied as an image preprocessing to the deep learning-based object detection model in the future, it is expected to secure consistent object detection performance in a low-light environment.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.37 no.3
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• pp.163-171
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• 2024

Structural health monitoring for ships and offshore structures is important in various aspects. Ships and offshore structures are continuously exposed to various environmental conditions, such as waves, wind, and currents. In the event of an accident, immense economic losses, environmental pollution, and safety problems can occur, so it is necessary to detect structural damage or defects early. In this study, structural response data of multi-linked floating offshore structures under various wave load conditions was calculated by performing fluid-structure coupled analysis. Furthermore, the order reduction method with distortion base mode was applied to the structures for predicting the structural response by using the results of numerical analysis. The distortion base mode order reduction method can predict the structural response of a desired area with high accuracy, but prediction performance is affected by sensor arrangement. Optimization based on a genetic algorithm was performed to search for optimal sensor arrangement and improve the prediction performance of the distortion base mode-based reduced-order model. Consequently, a sensor arrangement that predicted the structural response with an error of about 84.0% less than the initial sensor arrangement was derived based on the root mean squared error, which is a prediction performance evaluation index. The computational cost was reduced by about 8 times compared to evaluating the prediction performance of reduced-order models for a total of 43,758 sensor arrangement combinations. and the expected performance was overturned to approximately 84.0% based on sensor placement, including the largest square root error.

• Journal of the Korean Society of Radiology
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• v.82 no.4
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• pp.914-922
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• 2021

Purpose To investigate the efficacy and safety of radiofrequency ablation (RFA) for papillary thyroid microcarcinoma (PTMC) after > 10 years of follow-up. Materials and Methods This study included five patients who underwent RFA to treat PTMCs (five lesions, mean diameter 0.5 cm, range 0.4-0.7 cm) between November 2006 and December 2009. The inclusion criteria were histopathologically confirmed PTMCs, a single PTMC lesion without extrathyroidal extension, no metastasis, and ineligibility or refusal to undergo surgery. RFA was performed by a single radiologist using a radiofrequency generator and an internally cooled electrode. We retrospectively analyzed the procedure-induced complications, serial changes in ablated tumors, recurrence, and local as well as lymph node metastasis based on data obtained from medical records and radiological images. Results The mean follow-up period was 130.6 months (range 121-159 months). Three patients underwent a single RFA session, and two patients underwent two RFA sessions. We observed no procedure-induced complications. Three tumors completely disappeared after ablation, and ablation of the other two tumors resulted in the formation of a small scar that showed long-term stability (mean duration 16.8 months, range 12-27 months). At the last follow-up, no patient showed recurrence or lymph node metastasis, and serum thyroglobulin levels were within normal limits in all patients. Conclusion RFA may be effective and safe to treat low-risk PTMC in patients who refuse or are ineligible for surgery.

• Journal of the Korean Regional Science Association
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• v.40 no.2
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• pp.3-19
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• 2024

The purpose of this study is to analyze the impact of attracting a university campus on the local economies of small and medium-sized cities, focusing on changes in local commercial neighborhoods(such as the number of startups, closures, and stores counts). For this study, a Difference-in-Difference(DID) analysis was used to compare the period before and after the attraction of university campuses in four local small and medium-sized cities. These include the Yangsan Campus of Pusan National University, the Jincheon Campus of Woosuk University, the Taean Campus of Hanseo University, and the Dangjin Campus of Hoseo University. The comparison was based on the number of startups, closures, and store counts, using local data provided by the Ministry of the Interior and Safety. The main findings of the study are as follows. First, attracting a university campus has a positive impact on the number of startups, both spatially and temporally. The spatial factors for the number of closures and stores showed a decrease, while the interaction terms representing the period before and after attracting the university campus all indicated an increase. Second, the number of startups in cultural and food-related sectors increase, reflecting the new demand created by attracting the university campus. However, there was also an increase in the number of closures, indicating rapidly changing consumption trends among university students. Third, physical environmental factors such as the number of building floors, land use zoning, and officially assessed land prices have a significant impact on the number of startups, closures, and stores. This supports the assertion that attracting university campus have a positive impact on the revitalization of local commercial neighborhoods.

• Journal of Korean Dental Hygiene Science
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• v.6 no.2
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• pp.37-50
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• 2023

Background: The purpose of this study is to verify the impact of dental hygienists' working environment on organizational commitment and the mediating effect of psychological empowerment in the relationship between working environment and organizational commitment. Methods: A survey was conducted on 264 people working as dental hygienists between August 16 and August 23, 2023. The collected data were analyzed using t-test, one-way ANOVA, Pearson correlation analysis, and regression analysis. Results: In the dental hygienist work environment, all three subfactors (safety management system, manager's competency, and support system) had a significant positive(+) correlation between psychological empowerment and organizational commitment. Dental hygienists' work environment was found to have an effect on organizational commitment, and psychological empowerment was found to have a partial mediating effect in the relationship between work environment and organizational commitment. Conclusion: As a way to improve dental hygienists' organizational commitment, it is necessary to develop a strategic human resource management program to create a safe and positive work environment and to form an organizational culture in which managers can recognize the power of members and grant empowerment.

• Tunnel and Underground Space
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• v.34 no.1
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• pp.1-14
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• 2024

An image-reconstruction technology, involving the deployment of an unmanned mobility equipped with high-speed LiDAR (Light Detection And Ranging) has been proposed to reconstruct the shape of abandoned mine. Unmanned mobility operation is remarkably useful in abandoned mines fraught with operational difficulties including, but not limited to, obstacles, sludge, underwater and narrow tunnel with the diameter of 1.5 m or more. For cases of real abandoned mines, quadruped robots, quadcopter drones and underwater drones are respectively deployed on land, air, and water-filled sites. In addition to the advantage of scanning the abandoned mines with 2D solid-state lidar sensors, rotation of radiation at an inclination angle offers an increased efficiency for simultaneous reconstruction of mineshaft shapes and detecting obstacles. Sensor and robot posture were used for computing rotation matrices that helped compute geographical coordinates of the solid-state lidar data. Next, the quadruped robot scanned the actual site to reconstruct tunnel shape. Lastly, the optimal elements necessary to increase utility in actual fields were found and proposed.