• Korean journal of aerospace and environmental medicine
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• v.30 no.3
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• pp.83-85
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• 2020

In commemoration of Vol. 30, Issue 3, our journal prepared five review articles and one original paper. The global outbreak of COVID-19 in 2020 has impacted our society, and especially the aviation and travel industries have been severely damaged. Kwon presented the aviation medical examination regulations related to COVID-19 announced by the Ministry of Land, Infrastructure, and Transport of the Republic of Korea. Lim summarized various efforts of airlines to overcome the crisis in the aviation industry. He also discussed the management of these aircraft as the number of airplanes landing for long periods increased. Finally, he suggested various quarantine guidelines at airports and onboard aircraft. COVID-19 has had a profound impact on mental health as well as physical effects. Kim investigated the impact of COVID-19 on mental health and suggested ways to manage the stress caused by it. The Internet of Things (IoT) refers to a technology in which devices communicate with each other through wired or wireless communication. Hyun explained the current state of the technology of the IoT and how it could be used, especially in the aviation field. In the area of airline service, various situations arise between passengers and crew. Therefore, role-playing is useful in performing education to prepare and respond to passengers' different needs appropriately. Ra introduced the conceptual background and general concepts of role-playing and presented the actual role-play's preparation process, implementation, evaluation, and feedback process. For a fighter to fly for a long time and perform a rapid air attack, air refueling is essential, which serves refueling from the air rather than from the aircraft base. Koo developed a questionnaire based on the HFACS (Human Factors Analysis and Classification System) model and used it to conduct a fighter pilot survey and analyze the results.

• Korean Journal of Community Nutrition
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• v.27 no.4
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• pp.296-308
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• 2022

Objectives: This study aimed to develop evaluation criteria for the elementary-school-based health promotion program using the RE-AIM framework and to examine their feasibility. Methods: Previous evaluation studies on health interventions for elementary-school students using the RE-AIM framework were reviewed systematically to identify appropriate evaluation criteria. A diet and physical activity intervention based on the transtheoretical model was implemented in a pilot study using the "Happy Me" application. The feasibility of using the RE-AIM framework to evaluate it was examined. Results: The review yielded the following evaluation criteria: "reach," the ratio of participants out of the total target population; "efficacy/effectiveness," the difference in outcomes between the intervention and control groups, or between a pre- and post-test; "adoption," the rate of use of the program and participation in the next stage of the program; "implementation," the progress on the program components; "maintenance," the participants' and teachers' intention to continue using the program. The pilot study reached 76.6% of the targeted population. The intake of sugar-sweetened beverages decreased (P < 0.0001), and the duration of walking increased (P < 0.0001). Other indicators could not be evaluated; therefore, potential indicators were suggested. Conclusions: This study produced feasible evaluation criteria for elementary-school-based health promotion using the RE-AIM framework. Nevertheless, the feasibility needs to be validated with a broader range of studies and long-term interventions.

• Journal of Positioning, Navigation, and Timing
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• v.11 no.3
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• pp.217-227
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• 2022

In order to provide a location-based services regardless of indoor or outdoor space, it is important to provide position information of the terminal regardless of location. Among the wireless/mobile communication resources used for this purpose, Long Term Evolution (LTE) signal is a representative infrastructure that can overcome spatial limitations, but the positioning method based on the location of the base station has a disadvantage in that the accuracy is low. Therefore, a fingerprinting technique, which is a pattern recognition technology, has been widely used. The simplest yet widely applied algorithm among Fingerprint positioning technologies is k-Nearest Neighbors (kNN). However, in the kNN algorithm, it is difficult to find the optimal K value with the lowest positioning error for each location to be estimated, so it is generally fixed to an appropriate K value and used. Since the optimal K value cannot be applied to each estimated location, therefore, there is a problem in that the accuracy of the overall estimated location information is lowered. Considering this problem, this paper proposes a technique for adaptively varying the K value by using a Convolutional Neural Network (CNN) model among Artificial Neural Network (ANN) techniques. First, by using the signal information of the measured values obtained in the service area, an image is created according to the Physical Cell Identity (PCI) and Band combination, and an answer label for supervised learning is created. Then, the structure of the CNN is modeled to classify K values through the image information of the measurements. The performance of the proposed technique is verified based on actual data measured in the testbed. As a result, it can be seen that the proposed technique improves the positioning performance compared to using a fixed K value.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.2
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• pp.67-71
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• 2023

Recently, there are increasing cases of managing software labs by assigning virtual PCs in the cloud instead of physical PCs to each student. In this paper, we design and implement a Linux-based software practice platform that allows students to efficiently build their environments in the cloud. In our platform, instructors can create and control virtual machine templates for all students at once, and students practice on their own machines as administrators. Instructors can also troubleshoot each machine and restore its state. Meanwhile, the biggest obstacle to implementing this approach is the difficulty of predicting the costs of cloud services instantly. To cope with this situation, we propose a model that can estimate the cost of cloud resources used. By using daemons in each user's virtual machine, we instantly estimate resource usage and costs. Although our model has very low overhead, the predicted results are very close to the actual resource usage measured by cloud service providers. To further validate our model, we used the proposed platform in a Linux practice lecture for a semester and confirmed that the proposed model is very accurate.

• Journal of Korea Port Economic Association
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• v.38 no.4
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• pp.25-43
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• 2022

Unlike the past, efforts must be made to interpret physical distribution from a network perspective as the service area expands spatially. In addition, logistics networks are undergoing rapid changes due to various changes in the environment. Therefore, the purpose of this study is to analyze the changes in the structure of maritime cargo and the centrality of ports using social network analysis. Using the trade data of domestic maritime at five-year intervals, we investigated changes in the network structure and identified the main factors that affect the centrality of domestic ports. Ports with the highest centrality, which is seen as a port that plays the role of an intermediary, emerged in the order of Busan and Ulsan. This study predicts patterns of domestic cargo trade over the next 20 years based on changes in port centrality and understanding of maritime cargo network, and can be used as reference materials for risk preparation.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.375-375
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• 2023

본 연구는 농지를 대상으로 토양수분 및 가뭄 현황을 분석하는 데 그 목적이 있다. 토양수분을 파악하기 위해 Terra MODIS(Moderate Resolution Imaging Spectroradiometer) 위성영상기반의 토양수분 산정모형을 개발하였다. 해당 모형은 MODIS LST(Land Surface Temperature) 및 NDVI(Normalized Difference Deficit Index)를 기반으로 SCS-CN(Soil Conservation Service-Curve Number) 방법에서 착안한 수문학적 개념 5일 선행강우 및 무강우일수를 입력자료로 하며, 토양 종류 및 계절에 따른 토양수분의 특성을 고려하였다. 모형의 개발을 위해 MODIS LST 및 NDVI 영상을 2013년부터 2022년까지 각각 일별 및 16일 단위로 구축하였으며, 동 기간에 대해 전국 88개소의 기상청 종관기상관측소의 강수량 및 LST 자료를 수집하였다. MODIS LST는 실측 LST 자료를 활용해 조건부합성기법을 적용하여 상세화하였고, 수집된 강수량자료는 역거리가중법을 활용해 공간 보간을 수행하였다. 토양특성의 구분은 농촌진흥청에서 정밀토양도를 수집하여 활용하였다. 공간 분포된 토양수분에서 농지에 해당하는 토양수분을 추출하기 위해 스마트팜맵을 구축하고, 농지 속성에 해당하는 위치 정보를 조회 후 이를 시군구별로 평균하여 일별 평균 토양수분값을 산정하였다. 토양수분 기반의 가뭄 현황 분석을 위해 구축된 정밀토양도에서 작물 생장과 관련된 영구위조점 및 포장용수량을 활용해 5단계(정상, 관심, 주의, 경계, 심각)의 가뭄 위험도를 산정하였으며, 실제 가뭄 현황과의 비교를 통해 토양수분기반의 가뭄 위험도의 실효성을 검증하고자 한다.

• The Journal of Korean Obstetrics and Gynecology
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• v.36 no.3
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• pp.173-195
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• 2023

Objectives: To investigate and analyze the assessment indicators and tools used in clinical practice to assess Korean medicine (KM) treatment for infertility, and to establish a basis for assessment tools to diagnose and assess infertility. Methods: Relevant studies published until March 2023 were extracted from Pubmed, Research Information Sharing Service, and National Digital Science Library databases. Results: Sixty-four studies comprising 4,105 patients were included. We investigated pregnancy outcomes, and assessed pregnancy- and childbirth-related factors, overall health, reproductive health, and mental health. Pregnancy result was most common primary outcome. Ongoing pregnancy, stillbirth, miscarriage, and ectopic pregnancy rates were suggested as indicators of pregnancy and childbirth-related assessment. Overall health was most commonly assessed with Likert and Visual analogue scale (VAS). Among reproductive health variables, menstrual history was most frequently assessed. Moreover, indicators such as reproductive function, sexual intercourse, and gynecological disease were assessed. The Infertility Stress Scale and the Fertility Quality of Life tool (FertiQoL) were used to assess mental health. Conclusions: Subjective scales and objective assessment tools, such as the Likert scale and blood tests/ultrasonography, respectively, are used to assess KM infertility treatment. Inconsistent assessment tools make quantitative analyses more challenging. The development of a standardized mental and physical function assessment questionnaire with confirmed reliability and validity ensure the effectiveness of KM infertility treatment, and promote future studies on infertility treatment.

• Journal of Korea Entertainment Industry Association
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• v.13 no.7
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• pp.441-448
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• 2019

The purpose of this is to investigate the factors of hospital selection in patients with mild cognitive impairment and to provide information to clinicians and medical institutions in preparation for the ongoing admission of patients with mild cognitive impairment. This study was carried out on 36 participants who agreed to participate in the study from May 1st, 2018 to September 30th, 2018. Data collection was performed using K-MMSE and hospital selection factor tool was modified and supplemented according to the study. The results of this study suggest that the distance from the residence or work place shall be closer to that of the hospital, with the easy of transportation, easy administrative procedure, hospital reputation, new services, service or physical therapy and occupation therapy(p <.05). The conclusion of this study is to inform the clinician about the selection factors of patients with mild cognitive impairment and change the marketing strategy of medical institutions prepare to mild cognitive impairment

• KNOM Review
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• v.22 no.3
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• pp.25-30
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• 2019

For meteorological applications, meaningful results must be derived and provided within time and resource limits. Forecasts through numerous historical data are time-consuming and still have resource limitations in the case of disaster safety-related analyses/predictions such as local typhoon forecasts. Suitable forecasts should be provided without any problems caused by limited physical environmental conditions and when results are to be drawn under time constraints, such as typhoon forecasts and forecast services for flooded areas by road. In this paper, we analyze the application of weather and climate forecasting to provide a suitable forecasting service in both temporal and resource conditions. Through the analysis of execution time according to mesh sizes, it was confirmed that a mesh adjustment can cope with the case of the temporal constraint. In addition, by analyzing the execution time through memory resource control, we confirmed the minimum resource condition that does not affect the performance and the resource usage pattern of the application through the swap and mlock analysis.

• International Journal of Advanced Culture Technology
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• v.11 no.1
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• pp.1-11
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• 2023

Backgrounds: As the COVID-19 pandemic continues, the university students population is one of the high risk and vulnerable groups. This study analyzed the status of student's mental health, including anxiety and depression caused by COVID-19, and its related factors among a university students in Korea. Methods : Our study subjects included university students in Korea. The survey items included general characteristics, teaching methods, physical activity, eating habits (SDBQ-L), weight-related questions, general anxiety disorder-7(GAD-7), and depression symptoms checklist. Frequency analysis, chi-square test, and logistic regression analysis were performed and data was analyzed using R version 4.1.2 program. Results : The prevalence of anxiety complaints was 5.5%, while the prevalence of depression complaints was 30.8%. In the multivariable logistic regression analysis of factors influencing anxiety, anxiety occurred 19.081 times (95% confidence interval (CI): 2.352-154.807) in the group with unhealthy diet (p<0.01). While in the multivariable analysis to identify factors affecting depression, women were 2.607 times significantly higher (95% CI: 1.255-5.415) than men, 0.407 times (95% CI:0.197-0.840) for residents of the metropolitan area, 3.418 times higher (95% CI:1.633-7.198) for unhealthy dietary people, and 2.225 times higher (95% CI: 1.080-4.582) for weight gainers (p<0.05). The type of class had no effect. Conclusions: COVID-19 and its associated interventions had negative effects on the mental health status including anxiety and depression in university students in Korea. Based on our results we recommend developing mental health interventions and prevention strategies for students in all universities in Korea.