• Human Ecology Research
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• v.57 no.1
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• pp.27-40
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• 2019

Based on the stress process model, this study examined the process of how military personnel's occupational characteristics (i.e., long and unspecified work hours, frequent moving) is associated with their wives' marital satisfaction and parenting stress. We focused on whether the wives' perception toward the characteristics of military occupation and the wives' military family pride mediated the association. An online survey was conducted with 323 women married to professional active-duty military husbands, had at least one preschool child, and lived with the husband and child. Using structural equation modeling, we found that the wives' perception of military occupational characteristics and military family pride mediated the relationship between their husband's work hours and the wives' marital satisfaction and parenting stress. This serial multiple mediation indicated that the longer and more unspecified the husband's work hours were, the more negative the wife's perceptions were towards his military occupation, which led to lower marital satisfaction and higher parenting stress. The single mediation effect of negative perceptions was also significant. Frequent moving was indirectly related to the wives' marital satisfaction and parenting stress through only the wives' negative perceptions toward military occupational characteristics. This result indicates that military spouses who experienced frequent moves are likely to have more negative attitudes toward military occupation, which leads to lower marital satisfactions and higher parenting stress. This study contributes to the literature by identifying the underlying mechanisms between military occupational characteristics and military wives' family life through the mediating roles of negative perceptions and military family pride.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.4
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• pp.190-197
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• 2020

Recently there was an incident that military radars, coastal CCTVs and other surveillance equipment captured a small rubber boat smuggling a group of illegal immigrants into South Korea, but guards on duty failed to notice it until after they reached the shore and fled. After that, the detection of such vessels before it reach to the Korean shore has emerged as an important issue to be solved. In the fields of marine navigation, Automatic Identification System (AIS) is widely equipped in vessels, and the vessels incessantly transmits its position information. In this paper, we propose a method of automatically identifying abnormally behaving vessels with AIS using convolutional autoencoder (CAE). Vessel anomaly detection can be referred to as the process of detecting its trajectory that significantly deviated from the majority of the trajectories. In this method, the normal vessel trajectory is gridded as an image, and CAE are trained with images from historical normal vessel trajectories to reconstruct the input image. Features of normal trajectories are captured into weights in CAE. As a result, images of the trajectories of abnormal behaving vessels are poorly reconstructed and end up with large reconstruction errors. We show how correctly the model detects simulated abnormal trajectories shifted a few pixel from normal trajectories. Since the proposed model identifies abnormally behaving ships using actual AIS data, it is expected to contribute to the strengthening of security level when it is applied to various maritime surveillance systems.

• Journal of agriculture & life science
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• v.50 no.2
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• pp.187-194
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• 2016

The purpose of this study was to analyze temperature distribution characteristics using a model swine housing for temperature sensor adjustable positioning and developed a sensor and controller embedded exhaust fans utilizing ICT fusion technology for windowless swine housing. Temperature measured by the sensor attached on the exhaust fan was also determined that there is no problem, the temperature is located in the upper fan given the measured errors shown in the 1℃ temperature difference between the lower temperature than the other positions in the model swine housing. The performance of the exhaust fan at maximum output was found to be 1920rpm, air flow rate 125㎥/min. When the open area ratio of 70% one proper air volume of the exhaust fan was found to be 75㎥/min, 60pa. Maximum efficiency in all of the output of the exhaust fan is exhibited at about 70% open area ratio of the damper. The number of revolution of the exhaust fan was 1920rpm when the output was a maximum of 100%. AC output phase of the pulse duty ratio change of the controller was shown to change without delay. It was determined that the instant fan speed control is possible.

• Korean Chemical Engineering Research
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• v.56 no.4
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• pp.479-495
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• 2018

This study was carried out to research the multimedia fate modeling, concentration distribution and impact assessment of polycyclic aromatic hydrocarbons (PAHs) emitted from automobiles, which are known as carcinogenic and mutation chemicals. The amount of emissions of PAHs was determined based on the census data of automobiles at a target S-city and emission factors of PAHs, where multimedia fugacity modeling was conducted by the restriction of PAHs transfer between air-soil at the impervious area. PAHs' Concentrations and their distributions at several environmental media were predicted by multimedia fugacity model (level III). The residual amounts and the distributions of PAHs through mass transfer of PAHs between environment media were used to assess the health risk of PAHs at unsteady state (level IV), where the sensitivity analyses of the model parameter of each variable were conducted based on Monte Carlo simulation. The experimental result at S-city showed that Fluoranthene among PAHs substances are the highest residual concentrations (60%, 53%, 32% and 34%) at all mediums (atmospheric, water, soil, sediment), respectively, where most of the PAHs were highly accumulated in the sediment media (more than 80%). A result of PAHs concentration changes in S-city over the past 34 years identified that PAHs emissions from all environmental media increased from 1983 to 2005 and decreased until 2016, where the emission of heavy-duty vehicle including truck revealed the largest contribution to the automotive emissions of PAHs at all environment media. The PAHs concentrations in soil and water for the last 34 years showed the less value than the legal standards of PAHs, but the PAHs in air exceeded the air quality standards from 1996 to 2016. The result of this study is expected to contribute the effective management and monitoring of toxic chemicals of PAHs at various environment media of Metropolitan city.

• KEPCO Journal on Electric Power and Energy
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• v.5 no.3
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• pp.173-179
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• 2019

Cryogenic air separation unit produces various gases such as $N_2$, $O_2$, and Ar by liquefying air. The process also varies with diverse production conditions. The one for SNG production among them has lower efficiency compared to other air separation unit because it requires ultrapure $O_2$ with purity not lower than 99.5%. Among factors that reduce the efficiency of air separation unit, power consumption due to compress air and heat duty of double column were representatives. In this study, simulation of the air separation unit for SNG production was carry out by using ASEPN PLUS. In the results of the simulation, 18.21 kg/s of at least 99.5% pure $O_2$ was produced and 33.26 MW of power was consumed. To improve the energy efficiency of air separation unit for SNG production, the sensitivity analysis for power consumption, purities and flow rate of $N_2$, $O_2$ production in the air separation unit was performed by change of air boosting ratios. The simulated model has three types of air with different pressure levels and two air boosting ratio. The air boosting ratio means flow rate ratio of air by recompressing in the process. As increasing the first air boosting ratio, $N_2$ flow rate which has purity of 99.9 mol% over increase and $O_2$ flow rate and purity decrease. As increasing the second air boosting ratio, $N_2$ flow rate which has purity of 99.9 mol% over decreases and $O_2$ flow rate increases but the purity of $O_2$ decreases. In addition, power consumption of compressing to increase in the two cases but results of heat duty in double column were different. The heat duty in double column decreases as increasing the first air boosting ratio but increases as increasing the second air boosting ratio. According to the results of the sensitivity analysis, the optimum air boosting ratios were 0.48 and 0.50 respectively and after adjusting the air boosting ratios, power consumption decreased by approximately 7% from $0.51kWh/O_2kg$ to $0.47kWh/O_2kg$.

• Management & Information Systems Review
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• v.39 no.3
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• pp.1-16
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• 2020

The current tariff return system requires tax officials to calculate tax amount by themselves and pay the tax amount on their own responsibility. In other words, in principle, the duty and responsibility of reporting payment system are imposed only on the taxee who is required to calculate and pay the tax accurately. In case the tax payment system fails to fulfill the duty and responsibility, the additional tax is imposed on the taxee by collecting the tax shortfall and imposing the tax deduction on For this reason, item classifications, together with tariff assessments, are the most difficult and could pose a significant risk to entities if they are misclassified. For this reason, import reports are consigned to customs officials, who are customs experts, while paying a substantial fee. The purpose of this study is to classify HS items to be reported upon import declaration and to indicate HS codes to be recorded on import declaration. HS items were classified using the attached image in the case of item classification based on the case of the classification of items by the Korea Customs Service for classification of HS items. For image classification, CNN was used as a deep learning algorithm commonly used for image recognition and Vgg16, Vgg19, ResNet50 and Inception-V3 models were used among CNN models. To improve classification accuracy, two datasets were created. Dataset1 selected five types with the most HS code images, and Dataset2 was tested by dividing them into five types with 87 Chapter, the most among HS code 2 units. The classification accuracy was highest when HS item classification was performed by learning with dual database2, the corresponding model was Inception-V3, and the ResNet50 had the lowest classification accuracy. The study identified the possibility of HS item classification based on the first item image registered in the item classification determination case, and the second point of this study is that HS item classification, which has not been attempted before, was attempted through the CNN model.

• International Area Studies Review
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• v.21 no.4
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• pp.195-222
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• 2017

This exploratory study analyses the factors, sources and effects of the regional competitive advantage of Jeju Island in Korea in global competition era. The competitive advantage of Jeju Province is analysed with the triple diamond model based on Porter's model for the competitive advantage of nations. The competitive advantage factors of Jeju Province are measured through the competitive advantage of the hospitality industry, which is one of the major industries of Jeju Island. These factors include outstanding natural landscape, domestic hospitality industry workforce, social overhead capital, massive domestic and international tourists, growth of related industries such as duty free shops and casinos, and coincidences such as Jeju Olle trail construction and Chinese government's international travel approval. Since these factors are based on local, domestic and international management resources, this study suggests that obtaining such resources is critical among Jeju hospitality industry in gaining the competitive advantage. Although the competitive advantage of Jeju hospitality industry is increasing, the organic connections with the regional economy are required for improvements on Jeju residents' quality of life. This study examines the factors and origins of competitive advantages on a regional level instead of a national level, and further investigates how the characters and origins of these factors affect the local economy. The results suggest that the triple diamond model is suitable for evaluating the regional competitive advantages.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.133-140
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• 2016

The Ministry of Land, Infrastructure and Transport has introduced low-floor buses, which are convenient for passengers getting on and off the bus and for the handicapped. The standard bus model is 11 m long and uses compressed natural gas (CNG). However, this model has drawbacks in narrow rural road conditions such as those in farming and fishing villages and mountainous areas, as well as difficulty in refueling since CNG facilities are not readily available. In this study, running resistance values were obtained by coasting performance tests on actual roads using a Tata Daewoo LF-40 model with three different weight conditions: curb vehicle weight (CVW), half vehicle weight (HVW), and gross vehicle weight (GVW).The test methods include WHVC, NIER-06, and constant-speed driving at 60 km/h. These tests were used to measure the fuel economy of vehicles other than the target vehicles to obtain the combined fuel economy. The energy efficiency was highest in the case of CVW. In the WHVC mode, the fuel consumption rates of HVW and GVW were typically 3.5% and 12% higher than that of CVW, respectively. In constant-speed driving, the fuel efficiency of HVW was higher than that of CVW. Further research is required to analyze the exhaust gas data.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.234-246
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• 2021

The purpose of this study is to develop the main subjects of the job-based curriculum by deriving the job analysis results of general security job workers in the physical protection field responsible for responding to threats to nuclear materials and nuclear facilities. In the job analysis stage, FGI was conducted on 7 content experts to derive 8 duties and 55 tasks. In addition, knowledge and skills were drawn for each task. In the analysis of educational needs, surveys were conducted for workers in general security jobs to derive the top 25 educational priorities through t-test and Borich needs assess model. At the stage of selecting core tasks and organizing required/optional contents, 42 tasks, both above average or at least one of them, were derived as core tasks based on the result of evaluation of importance and difficulty ratings of 55 tasks through a questionaire. In addition, tasks applied to the top 25 rankings derived from Borich needs assess model were applied as the required contents when designing courses, and tasks which applied only one of them were selected as optional contents. At the stage of required/optional modules and educational contents, four required modules and five optional modules were derived by drifting similar tasks between the required and optional contents. Based on the above results, the study suggested academic and practical implications and future suggestions.

• The Journal of Korean Academic Society of Nursing Education
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• v.14 no.2
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• pp.232-243
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• 2008

Purpose: The study was aimed to suggest a model re-entry program into the job market for inactive registered nurses, based on the development and management of a program and the evaluation of its efficiency. Method: The participants in the program were 82 inactive nurses and the development and evaluation of the program followed ADDIE. To develop the program, general characteristics and demand on re-entry into the job market were investigated. Satisfaction level of the program and confidence in nursing practice were measured to evaluate it. Result: Participants were 45 years old, had 6 years' clinical experience, and had 14 inactive career years on average. The program included basic and core education courses, and a clinical course. The participants were satisfied with its management, and 80.3 percent of them agreed with the need for the program. Also, clinical sites and instructors in the clinical course were satisfactory. Participants gained high confidence in nursing practice skills. Conclusion: The study showed the goal of the program was accomplished by motivating inactive nurses for re-entry to the work force and enhancing capability in duty. The program needs standardizing, and field adaptability should be strengthened through clinical practice. An evaluation tool for the program has to be developed.