• Journal of the Korean Regional Science Association
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• v.37 no.3
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• pp.3-18
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• 2021

The fourth Industrial Revolution is transforming the industrial structure of the region, and it is necessary to develop new industries and technologies that reflect regional characteristics. The purpose of this study is to measure the knowledge relatedness and technological complexity in Busan, Ulsan, and Gyeongnam, and to identify technologies with potential for regional industrial differentiation strategies. Using patent data from 2015 to 2019, co-occurrence matrices were derived from 652 IPC codes, and the knowledge relatedness density and technology complexity index were calculated. Network analysis was performed using the knowledge relatedness density. As a result of analysis, it was found that mechanical engineering occupied a large proportion, followed by chemistry and electrical engineering. As a result of applying the risk-benefit framework to derive technologies with the potential to differentiate local industries, the technological capabilities of low-risk-high-benefit were different. Among mechanical engineering, technologies such as engine, machine operation, and transportation were included in Busan. In Ulsan, environmental technology in chemical and materials, and heat treatment technology in mechanical engineering were technologies with low-risk and high-benefit capabilities. Gyeongnam showed competence in mechanical engineering, chemistry, and electrical engineering in some areas such as Gimhae, Yangsan, and Changwon. The results of this study are meaningful in that they identified technologies with potential for selecting and deriving strategic industries for regional growth based on latent knowledge in the region.

• Journal of Trauma and Injury
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• v.20 no.2
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• pp.96-100
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• 2007

Purpose: Trauma is the 5th most common leading cause of death in Korea, but there has been no appropriate management system for patients until now. We analyzed the main causes of death in trauma patients by comparing the characteristics of those patients with the characteristics of patients who survived. We feel this analysis should have a positive effect on the development of an appropriate trauma management system in Korea. Methods: We retrospectively reviewed trauma patients who had been admitted to the Department of General Surgery from February 2002 to February 2007. We compared several expected risk factors between the mortality and the survival group. Data on the transportation, arrival time at the emergency center, amount of transfusion, initial shock index, cause of death, and initial physical condition according to RTS (Revised trauma score), ISS (Injury severity score) and TRISS (Trauma and Injury Severity Score) were collected. Patients with ISS lower than 12 were excluded. Results: Three hundred sixty-six(366) patients with multiple injuries were included. There were 40 patients in the mortality group and 326 patients in the survival group. The mean arrival time (minutes) to emergency center was longer in the mortality group (137.6 vs 93.6 p 0.04). The total amount of transfusion (ml) was larger in the mortality group (7139 vs 2470 p 0.01). The initial shock index was higher in the mortality group (1.45 vs 1.17 p<0.01). The RTS, ISS, and TRISS were not statistically different between the groups. In the multivariate analysis, mean arrival time and initial shock index were important factors for survival. Conclusion: If the mortality rate of trauma patients is to be reduced, the arrival time at the emergency center should be minimized. Improvement of the emergency medical transfer service system is very important for achieving that.

• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.377-385
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• 2020

This study aimed to identify the factors associated with distorted body image in adolescents according to sex. The data obtained from the Korea Youth Risk Behavior Web-Based Survey (2019). The subjects included 9,635 adolescents who perceived their body type as overweight, despite having a normal body mass index. The main finding indicated that high levels of fast food consumption were associated with significantly higher feelings of stress, sadness, and despair in both males and females. In addition, both males and females experienced elevated levels of stress, sadness, and despair when they perceived that they were not sufficiently physically active. The results of this study can be used for the development of interventions for adolescents with distorted body image.

• Smart Structures and Systems
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• v.33 no.2
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• pp.165-175
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• 2024

Rotating beams play a crucial role in representing complex mechanical components that are prevalent in vital sectors like energy and transportation industries. These components are susceptible to the initiation and propagation of cracks, posing a substantial risk to their structural integrity. This study presents a two-stage methodology for detecting the location and estimating the size of an open-edge transverse crack in a rotating Euler-Bernoulli beam with a uniform cross-section. Understanding the dynamic behavior of beams is vital for the effective design and evaluation of their operational performance. In this regard, modal parameters such as natural frequencies and eigenmodes are frequently employed to detect and identify damages in mechanical components. In this instance, the Frobenius method has been employed to determine the first two natural frequencies and corresponding eigenmodes associated with flapwise bending vibration. These calculations have been performed by solving the governing differential equation that describes the motion of the beam. Various parameters have been considered, such as rotational speed, beam slenderness, hub radius, and crack size and location. The effect of the crack has been replaced by a rotational spring whose stiffness represents the increase in local flexibility as a result of the damage presence. In the initial phase of the proposed methodology, a damage index utilizing the slope of the beam's eigenmode has been employed to estimate the location of the crack. After detecting the presence of damage, the size of the crack is determined using a Genetic Algorithm optimization technique. The ultimate goal of the proposed methodology is to enable the development of more suitable and reliable maintenance plans.

• Journal of Korean Society of Transportation
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• v.28 no.2
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• pp.135-150
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• 2010

This paper focuses on finding out which covenants are different among the concession agreements of Korean BTO projects and how these influenced IRR(Internal Rate of Return). That is, to figure out the political and economical determinants of IRR by analyzing the concession agreements which are the basic contract of implementing projects. As IRR is an index of profitability, so spread is an indicator of risk to collect debts. That's the reason why the analysis of spread is included. For the empirical analysis, the data of concession agreements for 75 projects and financial models are used. These 75 concession agreements are contracted from 1995 to 2008. The dependent variables are after tax nominal IRR and the spread of long term interest rates of 75 BTO projects. The independent variables are project's proceeding factors, the feasibility variables, the variables related to financial character and the variables related to covenants or the government's policy. The analysis shows that IRR has been influenced by the equity level of financial investors, the national government managed projects, the projects with minimum revenue guarantee (MRG), etc. And the equity level of financial investors, the national government managed projects and the implementation of supplementary project have an effect on spread also.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.6
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• pp.49-60
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• 2020

The number of traffic control equipment installed to prevent traffic accidents increases every year due to continuous installation by the National Police Agency and local governments. However, it is installed based on qualitative judgment rather than engineering analysis results. The purpose of this study was to present additional installations in the future by presenting the installation criteria considering the severity of accidents for each road type and calculating the appropriate number of installations. ARI indicators that can indicate the severity of traffic accidents were developed, and road types were classified through analysis of variance and cluster analysis, and accident information by road type was analyzed to derive ARI of clusters with high traffic accident severity. The ARI values required to determine the installation of equipment for each road type were presented, and 5,244 additional installation points were analyzed.

• The Korean Journal of Food And Nutrition
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• v.29 no.2
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• pp.267-274
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• 2016

Increasing sugar intake of population has become a nutritional issue in Korea. Sweet taste perception may be related to behaviors such as eating sweet food including high sugars and total sugar intake. This study aimed to evaluate objective and subjective sweet taste perception and the association among objective sweet taste perception, dietary behaviors related to eating sweet snack food including high sugar, and total sugar intake from the snacks. Participants were 261 healthy female college students (mean age: $21.0{\pm}1.6years$), who were divided into three subgroups based on oral sweet taste evaluation using a sweet taste assessment tool provided by Ministry of Food and Drug Safety: sweet-seeker group (n=139), medium sweet-seeker group (n=54), and unsweet-seeker group (n=68). There was no significant difference in weight and body mass index (BMI) among the three groups; however, the sweet-seeker group had significantly higher sweet taste preference than that of the other groups. Though more people in the sweet-seeker group thought they tended to eat sweet foods than the medium sweet-seeker and unsweet-seeker groups, over half of the sweet-seekers did not think they tended to eat sweet foods. The sweet-seeker group was more likely to eat sweet snacks such as breads, chocolate products, sugar-sweetened milk, and so on than the unsweet-seeker group. Total sugar intake from the selected sweet snacks was 44.4 g for the sweet-seeker group, 34.4 g for the medium sweet-seeker group, and 28.0 g for the unsweet-seeker group with a significant difference. These results indicated the absence of relationship between objective sweet taste perception and the obesity index; however, significant associations were detected among objective sweet taste perception, eating sweet snacks and total sugar intake from the snacks. We also found high disagreement between objective and subjective sweet taste perception of the subjects. The present study provided the novel insight that measuring objective sweet taste perception may be useful for assessing the risk of high sugar consumption and undesirable dietary behaviors.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.5
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• pp.574-583
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• 2021

Predicting shipping markets is an important issue. Such predictions form the basis for decisions on investment methods, fleet formation methods, freight rates, etc., which greatly affect the profits and survival of a company. To this end, in this study, we propose a shipping freight rate prediction model for container ships using gated recurrent units (GRUs) and long short-term memory structure. The target of our freight rate prediction is the China Container Freight Index (CCFI), and CCFI data from March 2003 to May 2020 were used for training. The CCFI after June 2020 was first predicted according to each model and then compared and analyzed with the actual CCFI. For the experimental model, a total of six models were designed according to the hyperparameter settings. Additionally, the ARIMA model was included in the experiment for performance comparison with the traditional analysis method. The optimal model was selected based on two evaluation methods. The first evaluation method selects the model with the smallest average value of the root mean square error (RMSE) obtained by repeating each model 10 times. The second method selects the model with the lowest RMSE in all experiments. The experimental results revealed not only the improved accuracy of the deep learning model compared to the traditional time series prediction model, ARIMA, but also the contribution in enhancing the risk management ability of freight fluctuations through deep learning models. On the contrary, in the event of sudden changes in freight owing to the effects of external factors such as the Covid-19 pandemic, the accuracy of the forecasting model reduced. The GRU1 model recorded the lowest RMSE (69.55, 49.35) in both evaluation methods, and it was selected as the optimal model.

• Journal of Chest Surgery
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• v.39 no.2 s.259
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• pp.127-133
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• 2006

Background: In the studies of the distribution of time to death in trauma patients, the early deaths within several hours after injury were a large component of total trauma deaths. Due to the development of trauma system, overall mortality of trauma was decreased, but trauma is still the major cause of deaths. Material and Method: From January 1994 to December 2003, trauma patients who had been admitted and had expired at tertiary hospital were enrolled. There was a total of 400 cases, a retrospective study was done to determine the distribution of trauma mortality according to the part of the body that were severely injured part and compared the difference between early deaths within 6 hours and late deaths after 6 hours. We also analysed the risk factors of early deaths due to trauma. Result: In severe injury to the head and abdomen, the distribution of mortality was bimodal. But, in severe chest injuries, the distribution was log-shape and most early deaths were almost of trauma related. The average of GCS were 5.86$\pm$4.15 for the early deaths and 8.24$\pm$5.02 for the late deaths (p < 0.05). The AIS of thorax were 2.66$\pm$1.87 for the early deaths and 1.55$\pm$1.76 for late deaths. The risk factors for early mortality were non-EMS transportation (odds ratio 3.474), high AIS (odds ratio 1.491) and GCS (odds ratio 0.859). Conclusion: In trauma patients, the causes of early mortality were severe brain injury and massive hemorrhage. Also severe chest injuries were the major cause of the early deaths in truama. Early diagnosis of chest injury can frequently be missed in the acute trauma setting. Therefore, high index of suspicion, a careful examination, and aggressive surgical treatment are important in multiple trauma patients.

• Journal of the Korean Society of Food Science and Nutrition
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• v.43 no.3
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• pp.341-348
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• 2014

We investigated the anti-obesity and anti-hyperlipidemic effects of extracts of two roasted coffee beans (Vietnam robusta and Ethiopia mocha sidamo G2) and fermented coffee beans with Monascus rubber mycelium (MR) by solid-state culture. C57B/L6 mice were divided into seven groups: normal diet (ND) group, high fat diet (HFD) group, and HFD groups with hot water extracts from Vietnam robusta coffee beans (HFD-VR), MR-fermented Vietnam robusta coffee beans (HFD-VR-MR), MR-fermented Vietnam robusta coffee beans with 10% brown rice (HFD-VR-MR-BR10), Ethiopia mocha sidamo G2 coffee beans (HFD-ES), and MR-fermented Ethiopia mocha sidamo G2 coffee beans (HFD-ES-MR). After 6 weeks, body weight gain and food efficiency ratio were higher in the HFD group, but significantly reduced in the coffee extracts-fed groups. The HFD-ES-MR group showed greater body weight reduction than the HFD-ES group. The serum triglyceride, total cholesterol, and LDL-cholesterol levels as well as the atherogenic index and cardiac risk factor all tended to decrease in groups fed Vietnam robusta coffee extracts compared to the HFD group. These results suggest that Vietnam robusta and Ethiopia mocha sidamo G2 may be used to make functional coffee beverages with anti-obesity and anti-hyperlipidemic activities.