• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.592-601
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• 2022

This study was attempted to suggest future directions for nursing ethics education by analyzing research trends related to ethical conflicts among nurses and the current status of nursing ethics education. In four domestic databases, it was searched as a combination of words 'nurse', 'ethics', 'moral', 'bioethics', 'conflict', 'sensitivity', 'dilemma', 'issue', and 'value'. As a result, 591 papers were confirmed from 2000 to December 2021, of which 111 papers were finally analyzed. The status of nursing ethics education was analyzed for 184 out of 203 schools that operated a four-year bachelor's degree program registered with the Korean Accreditation Board of Nursing Education. As a result of the study, the number of studies related to ethical conflicts among nurses steadily increasing, and quantitative studies on nurses in general hospitals were the most common. The main keywords were identified as moral sensitivity, moral agony, ethical dilemma, and biomedical ethics awareness. Nursing ethics education was operated by 68% of universities as a major subject, and more than half of universities opened it in the first and second grades with one or two credits. As a result of this study, ethical conflicts experienced by nurses are increasing according to social change. Therefore, it is necessary for universities to further expand the proportion of nursing ethics education and to establish an educational model for each grade level for the continuity of the educational effect.

• Korean Journal of Remote Sensing
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• v.38 no.5_3
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• pp.967-977
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• 2022

The occurrence and intensity of wildfires are increasing with climate change. Emissions from forest fire smoke are recognized as one of the major causes affecting air quality and the greenhouse effect. The use of satellite product and machine learning is essential for detection of forest fire smoke. Until now, research on forest fire smoke detection has had difficulties due to difficulties in cloud identification and vague standards of boundaries. The purpose of this study is to detect forest fire smoke using Level 1 and Level 2 data of Geostationary Environment Monitoring Spectrometer (GEMS), a Korean environmental satellite sensor, and machine learning. In March 2022, the forest fire in Gangwon-do was selected as a case. Smoke pixel classification modeling was performed by producing wildfire smoke label images and inputting GEMS Level 1 and Level 2 data to the random forest model. In the trained model, the importance of input variables is Aerosol Optical Depth (AOD), 380 nm and 340 nm radiance difference, Ultra-Violet Aerosol Index (UVAI), Visible Aerosol Index (VisAI), Single Scattering Albedo (SSA), formaldehyde (HCHO), nitrogen dioxide (NO₂), 380 nm radiance, and 340 nm radiance were shown in that order. In addition, in the estimation of the forest fire smoke probability (0 ≤ p ≤ 1) for 2,704 pixels, Mean Bias Error (MBE) is -0.002, Mean Absolute Error (MAE) is 0.026, Root Mean Square Error (RMSE) is 0.087, and Correlation Coefficient (CC) showed an accuracy of 0.981.

• Journal of the Korean Recycled Construction Resources Institute
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• v.10 no.3
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• pp.227-234
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• 2022

In this study, the rheological properties of cement paste composites applied with carbon-based nano-materials were experimental analyzed. Flow table and rheological properties, compressive strength were measured in the cement paste using graphene oxide asqueous solution and carbon nanotube aqueous solution. When carbon nano-materials was mixed in an aqueous solution, flow decreased and plastic viscosity and shear stress were increased. In particular, graphene oxide rapidly increased the plastic viscosity and shear stress. In the case of carbon nanotube aqueous solution, when less than 0.2 % was mixed, the increase rate was low compared to graphene oxide. This is because the specific surface area of graphene, which is in the form of a plate, is large. The compressive strength showed a small amount in strength increase when graphene mix, and CNT had a strength about 112 % of OPC. Carbon-based nanomaterials, is considered that CNT are suitable more to be used construction materials. However, extra studies on the surfactant to be used for mixing proportion and dispersion will be needed.

• Korean Journal of Remote Sensing
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• v.38 no.5_1
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• pp.571-585
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• 2022

As the threat of natural disasters such as droughts, floods, forest fires, and landslides increases due to climate change, social demand for high-resolution soil moisture retrieval, such as Synthetic Aperture Radar (SAR), is also increasing. However, the domestic environment has a high proportion of mountainous topography, making it challenging to retrieve soil moisture from SAR data. This study evaluated the usability of Sentinel-1 SAR, which is applied with the Artificial Neural Network (ANN) technique, to retrieve soil moisture. It was confirmed that the backscattering coefficient obtained from Sentinel-1 significantly correlated with soil moisture behavior, and the possibility of stand-alone use to correct vegetation effects without using auxiliary data observed from other satellites or observatories. However, there was a large difference in the characteristics of each site and topographic group. In particular, when the model learned on the mountain and at flat land cross-applied, the soil moisture could not be properly simulated. In addition, when the number of learning points was increased to solve this problem, the soil moisture retrieval model was smoothed. As a result, the overall correlation coefficient of all sites improved, but errors at individual sites gradually increased. Therefore, systematic research must be conducted in order to widely apply high-resolution SAR soil moisture data. It is expected that it can be effectively used in various fields if the scope of learning sites and application targets are specifically limited.

• Journal of Practical Engineering Education
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• v.13 no.3
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• pp.461-471
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• 2021

This study investigated the application and satisfaction of the global industrial technology curriculum for foreign students at J University in Korea. In order to derive the global industrial technology curriculum, industry needs were analyzed, and the appropriateness of the curriculum was identified through the current status of the root industry. In order to investigate the satisfaction with the application of the global industrial technology curriculum, a questionnaire survey was conducted in the form of an in-person interview for two months from August to September 2021 for foreign students. The questionnaire surveys included general information of the subjects, the status of completion of the curriculum, questions about class satisfaction, the process of obtaining certifications, and whether or not they were employed. As a result of the study, the reasons for choosing the curriculum of the respondents were their interest in subjects related to the root industry (welding, machining, etc.) and the issuance of Korean employment and visas (E-7). The most preferred subject was welding practice at 36.8%, and in terms of subjects considered necessary, the subject of basic major terminology was the most at 29.2%. The difference in satisfaction between graduates and current students who applied the same curriculum was tested, and as a result of the analysis, it was confirmed that there was no difference in satisfaction between current students and graduates through the t test (significance level p=0.05). We believe that this study is meaningful in that it provides basic data for the domestic industrial technology curriculum for foreign students and suggests the direction of related research in a time when the existence of universities is threatened due to the decrease in the school-age population.

• Korean Journal of Environment and Ecology
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• v.36 no.4
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• pp.413-421
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• 2022

This study was conducted to identify the vegetation structure of the Abies nephrolepis forests by analyzing species composition in Mt. Doota and Mt. Cheongok in the Gangwon region with the phytosociological method. In order to perform a field investigation, 18 survey areas with an area of about 400 m2 were set up for the stands where A. nephrolepis grow wild. Communities were classified through TWINSPAN and visualized using DCA (Detrended Correspondence Analysis). Species diversity analysis, importance value analysis, and DBH class analysis were employed to identify the characteristics of each community. As a result, the A. nephrolepis forests in Mt. Doota and Mt. Cheongok have been classified into 4 communities; GroupI, II, III and IV. GroupIis Quercus mongolica-A. nephrolepis competitive forest dominated by Q. mongolica and A. nephrolepis in the order. Group II is A. nephrolepis-Betula ermanii competitive forest dominated by A. nephrolepis, Sorbus commixta, and B. ermanii in the order. Group III is dominated by A. nephrolepis, but is expected to have competition between A. nephrolepis and Q. mongolica in the future due to the mass occurrence of Q. mongolica saplings. A. nephrolepis, S. commixta, and Q. mongolica are the dominant species in Group IV, and A. nephrolepis is the major dominant species in all layers. The species diversity of the A. nephrolepis forests in Mt. Doota and Mt. Cheongok is lower than other A. nephrolepis forests in Mt. Seorak, Maruguem, and Mt. Odae. It is necessary to establish conservation measures and to continuously monitor the A. nephrolepis forests in Mt. Doota and Mt. Cheongokis due to the harsh environment and the competition that may occur between A. nephrolepis and deciduous trees such as Q. mongolica in the future.

• Journal of Appropriate Technology
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• v.7 no.1
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• pp.59-71
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• 2021

Hybrid hydrothermal carbonization (Hybrid HTC) technology is a proprietary thermochemical process for two or more organic wastes.The reaction time is less than two hours with temperature range 180~250℃ and pressure range 20~40bar. Thanks to accumulation of the carbon of the waste during Hybrid HTC process, the energy value of the solid fuel increases significantly with comparatively low energy consumption. It has also a great volume reduction with odor removal effect so that it is evaluated as the best solid fuel conversion technology for various organic wastes. In this study of the hybrid hydrothermal carbonization, the effect on the calorific value and yield of Cambodian mango waste were evaluated according to changes in temperature and reaction time. Through the study, parameter optimization has been sought with improving energy efficiency of the whole plant. It is decomposed in the Hydro-Carbonation Technology to Generate Gas. At this time, it is possible to develop manufacturing and production technologies such as hydrogen (H₂) and methane (CH₄). Based on the results of the study, a pilot plant (2t/day) has been proposed for future commercialization purpose along cost analysis, mass balance and energy balance calculations.

• Korean Journal of Food Science and Technology
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• v.53 no.4
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• pp.446-453
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• 2021

This study examined the antioxidant activities of noni juice (NJ) extracts using various ethanol ratios and quality characteristics of Konjak jelly (KJ) supplemented with NJ. The total polyphenol content of 0% EtOH extract (EE) was higher than that of the other samples. The 100% EE contained the highest amount of total flavonoids. The 50% EE showed higher DPPH radical scavenging activity (SA) than the other samples. ABTS⁺ radical SA was the highest at 100% EE. The pH and moisture content of KJ decreased as the amount of NJ increased. The sugar content of KJ increased with an increase in the amount of NJ. Hardness and gumminess showed an increasing tendency, while L and b values decreased with the addition of NJ. Regarding consumer acceptability, 25% noni KJ was evaluated to be high in color and flavor. As a result, KJ containing 25% NJ was suitable for increasing consumer acceptability and functionality of KJ.

• Journal of Convergence for Information Technology
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• v.11 no.8
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• pp.36-41
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• 2021

Although the technology for prediction or analysis using artificial intelligence is constantly developing, a black-box problem does not interpret the decision-making process. Therefore, the decision process of the AI model can not be interpreted from the user's point of view, which leads to unreliable results. We investigated the problems of artificial intelligence and explainable artificial intelligence using Blockchain to solve them. Data from the decision-making process of artificial intelligence models, which can be explained with Blockchain, are stored in Blockchain with time stamps, among other things. Blockchain provides anti-counterfeiting of the stored data, and due to the nature of Blockchain, it allows free access to data such as decision processes stored in blocks. The difficulty of creating explainable artificial intelligence models is a large part of the complexity of existing models. Therefore, using the point cloud to increase the efficiency of 3D data processing and the processing procedures will shorten the decision-making process to facilitate an explainable artificial intelligence model. To solve the oracle problem, which may lead to data falsification or corruption when storing data in the Blockchain, a blockchain artificial intelligence problem was solved by proposing a blockchain-based explainable artificial intelligence model that passes through an intermediary in the storage process.

• Journal of the Korea Convergence Society
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• v.12 no.5
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• pp.267-274
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• 2021

This study was designed to investigate the variables affecting Chinese university students' selection factors for Korean drama. Participants in this study were 379 university students from Hunan Province, China. An online survey program(www.wjx.cn) was used to collect data for this study. The tool of this study was 'a tool for measuring the selection factors of Korean Dramas', and it was composed of two areas: completeness of work and recognition. The results of this study are as follows: First, the completeness of work factor are higher than the recognition of Korean dramas by Chinese university students. Second, there are differences in the factors for selection Korean dramas according to the gender, grade, age, major, and Korean Drama watching frequency of Chinese university students. Third, when Chinese university students select Korean Dramas, their preferred genre influences the selection factors for the level of work completion and recognition. Finally, it was discussed according to the results of this study, and suggested for the qualitative re-leap of Korean Dramas in the global era. In order to expand the Korean Wave market in China, cultural contents must be developed to embrace the sentiment of Chinese university students, a propagation strategy that reflects the latest consumption trends of Chinese youth must be established, and the sophisticated visual beauty of Korean Dramas must be realized.