• Convergence Security Journal
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• v.20 no.5
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• pp.81-88
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• 2020

China, since the early days, according to their ideology, neighboring countries and their citizens were under their sphere of power. This means that only the Hanzu are real native Chinese and the other minor ethics groups are technically immigrants. The People's republic of china, part of the chinese communist party, has had rapid economic growth after Deng Xioping took over and implemented various expansionist policies and reforms, opening china to the world. Internally, the minority ethnic groups were forcibly relocated to specific regions, prohibited from using their native languages, and their culture was absorbed or incorporated into the Hanzu culture in an attempt to internally suppress or erase them. Externally, various projects such as the 'Xia-Shang-Zhou Chronology Project', 'Origins of Chinese Civilization Project', 'Northeast Project', 'Northwest Project', and the 'Southwest Project' were implemented to spread their culture and history to neighboring countries in an attempt to expand their territory. In addition, as capitalism spreads throughout china through reforms and its expansion, it has pioneered the one belt one road aiming to secure as safe transit and raw materials, expand their military facilities, and expand their export market. By doing so, China is infringing on other countries' politics, economy, and borders, and as a result there is a need for Korea to also reexamine its policies in all fields related to china such as politics, economy, history, and culture.

• Journal of radiological science and technology
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• v.43 no.6
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• pp.503-509
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• 2020

This study aims to develop a patient-specific radiation exposure dose prediction model based on anthropometric data that can be easily measurable during CT examination, and to be used as basic data for DRL setting and radiation dose management system in the future. In addition, among the machine learning algorithms, the most suitable model for predicting exposure doses is presented. The data used in this study were chest CT scan data, and a data set was constructed based on the data including the patient's anthropometric data. In the pre-processing and sample selection of the data, out of the total number of samples of 250 samples, only chest CT scans were performed without using a contrast agent, and 110 samples including height and weight variables were extracted. Of the 110 samples extracted, 66% was used as a training set, and the remaining 44% were used as a test set for verification. The exposure dose was predicted through random forest, linear regression analysis, and SVM algorithm using Orange version 3.26.0, an open software as a machine learning algorithm. Results Algorithm model prediction accuracy was R^2 0.840 for random forest, R^2 0.969 for linear regression analysis, and R^2 0.189 for SVM. As a result of verifying the prediction rate of the algorithm model, the random forest is the highest with R^2 0.986 of the random forest, R^2 0.973 of the linear regression analysis, and R^2 of 0.204 of the SVM, indicating that the model has the best predictive power.

• Journal of the Korean Society of Propulsion Engineers
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• v.24 no.5
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• pp.21-33
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• 2020

In this study, the program for system analysis of an expander cycle rocket engine using liquid hydrogen as a fuel was developed. The properties of hydrogen were considered by the ratio of isomers with temperature. The analysis procedure was established with the open and closed types of the expander cycle engine and the simulation methods were suggested for each component. To validation of the analysis program, we compared the performance of the engine operating point and the analysis results performed overseas for Vinci and SE-21D, which are expander cycle engines. As a result of the analysis, the main performance factors of the system, such as the mass flow of the propellant, specific thrust, and power, except for some of the inaccurate input information, showed high accuracy with an error of around 1-2%.

• Journal of the Korean Society of Propulsion Engineers
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• v.25 no.5
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• pp.65-72
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• 2021

700 W class laboratory model Hall thruster, which can be used for the orbit control or station keeping of small satellites, was developed. The size of the discharge channel was determined using a scaling law, and the magnetic field was designed to be symmetric with respect to the midline of the discharge channel and to be maximized outside the discharge channel. Base pressure of a vacuum chamber was maintained below 2.0×10^-5 Torr during experiments, and the thrust was measured by a thrust stand. The anode flow rate and coil current were varied with the fixed anode voltage at 300 V. Under the operation condition at 2.36 mg/s anode flow rate and 2.4 A coil current, performance was optimized as 38 mN thrust, 1,540 s total specific impulse, and 50 % anode efficiency at 620 W anode power.

• Journal of Powder Materials
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• v.28 no.6
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• pp.470-477
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• 2021

Energy storage systems should address issues such as power fluctuations and rapid charge-discharge; to meet this requirement, CoFe₂O₄ (CFO) spinel nanoparticles with a suitable electrical conductivity and various redox states are synthesized and used as electrode materials for supercapacitors. In particular, CFO electrodes combined with carbon nanofibers (CNFs) can provide long-term cycling stability by fabricating binder-free three-dimensional electrodes. In this study, CFO-decorated CNFs are prepared by electrospinning and a low-cost hydrothermal method. The effects of heat treatment, such as the activation of CNFs (ACNFs) and calcination of CFO-decorated CNFs (C-CFO/ACNFs), are investigated. The C-CFO/ACNF electrode exhibits a high specific capacitance of 142.9 F/g at a scan rate of 5 mV/s and superior rate capability of 77.6% capacitance retention at a high scan rate of 500 mV/s. This electrode also achieves the lowest charge transfer resistance of 0.0063 Ω and excellent cycling stability (93.5% retention after 5,000 cycles) because of the improved ion conductivity by pathway formation and structural stability. The results of our work are expected to open a new route for manufacturing hybrid capacitor electrodes containing the C-CFO/ACNF electrode that can be easily prepared with a low-cost and simple process with enhanced electrochemical performance.

• The Journal of Information Systems
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• v.30 no.4
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• pp.21-42
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• 2021

Purpose In order for companies to continue to grow, they should properly manage human resources, which are the core of corporate competitiveness. Employee turnover means the loss of talent in the workforce. When an employee voluntarily leaves his or her company, it will lose hiring and training cost and lead to the withdrawal of key personnel and new costs to train a new employee. From an employee's viewpoint, moving to another company is also risky because it can be time consuming and costly. Therefore, in order to reduce the social and economic costs caused by employee turnover, it is necessary to accurately predict employee turnover intention, identify the factors affecting employee turnover, and manage them appropriately in the company. Design/methodology/approach Prior studies have mainly used logistic regression and decision trees, which have explanatory power but poor predictive accuracy. In order to develop a more accurate prediction model, XGBoost is proposed as the classification technique. Then, to compensate for the lack of explainability, SHAP, one of the XAI techniques, is applied. As a result, the prediction accuracy of the proposed model is improved compared to the conventional methods such as LOGIT and Decision Trees. By applying SHAP to the proposed model, the factors affecting the overall employee turnover intention as well as a specific sample's turnover intention are identified. Findings Experimental results show that the prediction accuracy of XGBoost is superior to that of logistic regression and decision trees. Using SHAP, we find that jobseeking, annuity, eng_test, comm_temp, seti_dev, seti_money, equl_ablt, and sati_safe significantly affect overall employee turnover intention. In addition, it is confirmed that the factors affecting an individual's turnover intention are more diverse. Our research findings imply that companies should adopt a personalized approach for each employee in order to effectively prevent his or her turnover.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.1
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• pp.27-35
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• 2022

In the most IPS (Indoor Positioning System), it is available to specify the user's movement by sending a specific signal from a tag such as a beacon to multiple receivers. This method is very efficiently used in places where the number of people is limited. On the other hand, in large commercial facilities, it is nearly difficult to apply the existing IPS method because it is necessary to attach a tag to each customer. In this paper, we propose a system that uses an external sensor grid to identify people's movement without using tags. Each sensor node uses both an ultrasonic sensor and an infrared sensor to monitor people's movements and sends collected data to the main server through wireless transmission for easy system maintenance. The operation was verified using the FPGA board, and we designed a VLSI circuit in 180nm process.

• Journal of the Daesoon Academy of Sciences
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• v.35
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• pp.393-426
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• 2020

In the past, holy sites were mainly designated on a basis of archaeological norms and endowed with a specific fixed identity according to historical, religious, and contextual interpretations. However, approaches to these sites are more flexible in recent times. These locations transcend the boundaries of space and time to enable the experience of diverse transformation and reveal multiple religious identities which are embedded in the complex interaction between power and authority. In this regard, the dynamic meanings of the religious symbology of Daesoon Jinrihoe's temple complexes, imagery, and the spatial structures enable us to grant them a new identity by re-establishing these structures as World Heritage sites. Temple complexes (dojang) correspond to the outstanding universal values identified by UNESCO in that the spiritual activities conducted at these holy sites draw the same attention as would be drawn by historical value. In this context, this study aims to explore the potential for Daesoon Jinrihoe's temple complexes to be designated UNESCO world heritage sites. To carry out this study, existing religious heritage sites such as Mount Athos Monasteries in Greece and Lumbini in Nepal are examined as case studies, and the operational plan, conservation, protection of relics, and interaction with its neighboring community and tourists are likewise closely examined in this study.

• The Korean Journal of Applied Statistics
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• v.35 no.2
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• pp.189-201
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• 2022

In this study, we propose factor augmentation to improve forecasting power of cryptocurrency return. We consider financial and economic variables as well as psychological aspect for possible factors. To be more specific, financial and economic factors are obtained by applying principal factor analysis. Psychological factor is summarized by news sentiment analysis. We also visualize such factors through impulse response analysis. In the modeling perspective, we consider ARIMAX as the classical model, and random forest and deep learning to accommodate nonlinear features. As a result, we show that factor augmentation reduces prediction error and the GRU performed the best amongst all models considered.

• Journal of the Korea Institute of Building Construction
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• v.22 no.5
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• pp.497-506
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• 2022

In recent years, the specialized construction industry has undergone major construction and major industries, and without considering the technical expertise of construction works, the construction industry is promoting the integration and establishment of specialized construction industries according to convenience and abolition of their own industries. As the reorganization plan causes confusion in the production structure and lacks persuasive power by aiming only for industry simplification, it is judged to be desirable to review it according to the detailed characteristics of the specialized construction industry. In this study, -to review the reorganization of a rational classification system that considers the specific nature of the specialization of specialized construction projects, the classification of construction works, major work contents and characteristics, technical expertise, and problems of largescale industry in the case of painting construction and landscaping construction was analyzed. Based on this, aspects to be considered when reorganizing the current professional construction industry classification system are identified and reasonable improvement plans for each industry are suggested.