• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.49 no.12
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• pp.1027-1035
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• 2021

We presents a design of 3U cubesat MIMAN (Monochrome imaging for monitoring aerosol by nano-satellite) for aerosol monitoring mission with high spatial resolution. The main objective of MIMAN mission is to take images of aerosols around Korea and to provide auxiliary data for GK 2B cloud masking. For this mission, we derived mission requirements and constraints for the MIMAN mission. We designed the mission architecture and concept of operations. To reduce risk factors in space operation, we considered the safety of the communication. In every operation modes, UHF communication is available so that the cubesat can operate based on the ground commands. So, we can handle every problem at the ground station during mission operations. Based on the mission and concept of operations, we confirmed that the system design satisfied the system requirements. We designed the system interface considering data flow of each hardware, and evaluated the safety of the system with system budget analysis.

• Nuclear Engineering and Technology
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• v.54 no.1
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• pp.36-48
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• 2022

As a valid numerical method to obtain a high-resolution result of a flow field, computational fluid dynamics (CFD) have been widely used to study coolant flow and heat transfer characteristics in fuel rod bundles. However, the time-consuming, iterative calculation of Navier-Stokes equations makes CFD unsuitable for the scenarios that require efficient simulation such as sensitivity analysis and uncertainty quantification. To solve this problem, a reduced-order model (ROM) based on proper orthogonal decomposition (POD) and machine learning (ML) is proposed to simulate the flow field efficiently. Firstly, a validated CFD model to output the flow field data set of the rod bundle is established. Secondly, based on the POD method, the modes and corresponding coefficients of the flow field were extracted. Then, an deep feed-forward neural network, due to its efficiency in approximating arbitrary functions and its ability to handle high-dimensional and strong nonlinear problems, is selected to build a model that maps the non-linear relationship between the mode coefficients and the boundary conditions. A trained surrogate model for modes coefficients prediction is obtained after a certain number of training iterations. Finally, the flow field is reconstructed by combining the product of the POD basis and coefficients. Based on the test dataset, an evaluation of the ROM is carried out. The evaluation results show that the proposed POD-ROM accurately describe the flow status of the fluid field in rod bundles with high resolution in only a few milliseconds.

• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.37-44
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• 2022

The purpose of this study is to investigate how the local community case management council perceives the expected outcome of the council and case management service by participating actors in order to establish the identity and direction of the activities of the council through concept mapping. A total of 12 practitioners from participating organizations freely expressed and shared their opinions about the case management service performance with the local community case management council in a brainstorming manner, producing a total of 42 statements. Through concept mapping, participants were empowered in the decision-making process, and their opinions were not alienated, but were accepted and rationally handled. It can be said that it is important to provide an opportunity for the participants to discuss on an equal footing in the decision-making process. Through this, it can be seen that the agreement between the case management council and the case management service was quickly reached, and the direction for subsequent activities was clearly set.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.6
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• pp.1800-1817
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• 2022

With the development of the economy and the improvement of living standards, the hot issues in the subject area have become the main research direction, and the mining of the hot issues in the subject currently has problems such as a large amount of data and a complex algorithm structure. Therefore, in response to this problem, this study proposes a method for extracting hot keywords in scientific journals based on the improved BERT model.It can also provide reference for researchers,and the research method improves the overall similarity measure of the ensemble,introducing compound keyword word density, combining word segmentation, word sense set distance, and density clustering to construct an improved BERT framework, establish a composite keyword heat analysis model based on I-BERT framework.Taking the 14420 articles published in 21 kinds of social science management periodicals collected by CNKI(China National Knowledge Infrastructure) in 2017-2019 as the experimental data, the superiority of the proposed method is verified by the data of word spacing, class spacing, extraction accuracy and recall of hot keywords. In the experimental process of this research, it can be found that the method proposed in this paper has a higher accuracy than other methods in extracting hot keywords, which can ensure the timeliness and accuracy of scientific journals in capturing hot topics in the discipline, and finally pass Use information technology to master popular key words.

• Journal of dental hygiene science
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• v.22 no.2
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• pp.90-98
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• 2022

Background: Integrated management of general, mental, and oral health is necessary to improve an individual's quality of life. This study aimed to identify the effects of mental and oral health behaviors on metabolic syndrome. Methods: A total of 4,227 Korean adults aged 20 years or older were selected as study subjects using raw data from the first year (2019) of the 8th period of the Korea National Health and Nutrition Examination Survey (KNHANES). A complex sample chi-square test and a complex sample logistic regression analysis were performed using the PASW Statistics ver. 18.0 program. Results: The effect on metabolic syndrome was significantly higher in male than in 1.833 times in male, 2.914 times in 30~49 years old, and 3.855 times in 50~64 years old, and 3.929 times in people over 65 years old compared to 20~29 years old, and compared to those with a college degree or higher, those with a middle school degree or lower are 2.116 times, those with lower income levels are 1.507 times higher, those with middle-lower are 1.359 times higher, those with middle-high are 1.401 times. Compared to non-smokers, smokers were 1.570 times higher than non-smokers and compared to those without speech problem and chewing difficulty, they were 1.717 times and 1.397 times higher, respectively and 1.973 times higher in those with 0~1 brushing times per day. Mental health did not affect prevalence of metabolic syndrome. Conclusion: It is necessary to improve maintain a healthy lifestyle to lower the risk of metabolic syndrome. It is necessary to establish effective dental hygiene customized education and an efficient health management system at the national level that can induce improvement of oral health behavior for the prevention and management of metabolic syndrome.

• Journal of Creative Information Culture
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• v.7 no.4
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• pp.207-215
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• 2021

As computational thinking has been noted as an important competency worldwide, SW education was introduced in the 2015 revised curriculum, and SW education has been applied to the curriculum from 2018. However, in a poor educational environment, the educationally underprivileged class is in the blind spot of SW education and is not receiving systematic SW education. Therefore, this study analyzed the effect of conducting a non-face-to-face SW online education program for 267 underprivileged elementary school students in education at a time when non-face-to-face online education was being conducted through the COVID-19 mass infectious disease. As a result of conducting the computational thinking ability test, which abstraction, problem decomposition, algorithm, automation, and data processing, before and after education, the overall score of computational thinking and the score of all five factors were statistically significantly increased(p<0.001). Among the five factors, there was the highest score improvement in data processing score. These results suggest that the non-face-to-face SW online education program is effective in improving the computational thinking ability of elementary school students from the educational underprivileged class.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.6
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• pp.185-190
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• 2022

Open data has a lot of economic value. Not only Korea, but many other countries are doing their best to make various policies and efforts to expand and utilize open data. However, although Korea has a large amount of data, the data is not utilized effectively. Thus, attempts to utilize those data should be made in various industries. In particular, in the fashion industry, exchange and refund problems are the most common due to unpredictable consumers. Better feedback is necessary for service providers to solve this problem. We want to solve it by showing improved images of dissatisfactions along with user reviews including consumer needs. In this paper, user reviews are analyzed on online shopping mall websites to identify consumer needs, and product attributes are defined by utilizing the attributes of K-fashion data. The users' request is defined as a dissatisfaction attribute, and labeling data with the corresponding attribute is searched. The users' request is provided to the service provider in forms of text data or attributes, as well as an image to help improve the product.

• The Journal of the Korea Contents Association
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• v.22 no.10
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• pp.535-545
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• 2022

The purpose of this study is to classify the various problems in surface road according to their severity and to propose a priority decision making process for road policy makers. For this purpose, the road problems reported by Cheok-cheok app were classified, and the EPDO was adopted and calculated as an index of their severity. To test applicability of the proposed process, some images of road problems reported by the app were classified and annotated, and the Deep Learning was used for machine learning of the curated images, and then the other images of road problems were used for verification. The detecting success rate of the road problems with high severity such as road kills, obstacles in a lane, road surface cracks was over 90%, which shows the applicability of the proposed process. It is expected that the proposed process will make the app possible to be used in the filed to make a priority decision making by classifying the level of severity of the reported road problems automatically.

• Korean Medical Education Review
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• v.24 no.3
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• pp.240-249
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• 2022

This study explored the public's response to an incident involving publicity about how physicians broke bad news to a terminal cancer patient by analyzing 1,960 comments from three online news websites that reported on this event using Braun and Clarke's theme analysis methods. Three themes and 10 subthemes emerged from the public's responses to the way the physicians broke the bad news. Theme 1 (a physician is a person who tells the facts) contained the following subthemes: physicians are responsible for delivering facts, but it is a matter of consideration for patients to deliver bad news to them, empathy and consolation should be expected from people other than physicians, and physicians who say what patients want to hear are cheaters. Theme 2 (there is a problem with physicians) included the following subthemes: the physicians' empathy or personality and problems with their communication methods. Theme 3 (there are obstacles to communication with dying patients) had the following subthemes: physicians become emotionally dull and find it very stressful to break bad news, giving hope to dying patients can lead to medical disputes, and empathy and consolation are also costly. When breaking bad news, the physicians delivered factual information, but they did so inappropriately, and emotional support for the patient was insufficient. In medical communication education, it is necessary to emphasize training in emotional support. In the medical field, an environment should be created where physicians can communicate as they have learned.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.5
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• pp.765-777
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• 2022

The SABER algorithm, a PKE/KEM algorithm presented in NIST PQC Standardization Round 3, is an algorithm based on the Module-LWR problem among lattice-based problems and has a Meta-PKE structure. At this time, the secret information used in the encryption process is called a ephemeral key, and in this paper, the ephemeral key reuse attack using the Meta-PKE structure is described. For each parameter satisfying the security strengths required by NIST, we present a detailed analysis of the previous studies attacked using 4, 6, and 6 queries, and improve them, using only 3, 4, and 4 queries. In addition, we introduce how to reduce the computational complexity of recovering ephemeral keys with a single query from the brute-force complexity on the n-dimension lattice, 2^7.91×n, 2^10.51×n, 2^12.22×n to 2^4.91×n, 2^6.5×n, 2^6.22×n, for each parameter, and present the results and limitations.