In this paper, following the recent development of optical transmission device equipped with Post-Quantum Cryptography, it proposes to improve the level of defense security system by applying USB security token with Q-PUF USB technology. Although trends of quantum computer development are currently in progress, quantum computer, which have been developed so far, have exceeded the computational capabilities of existing supercomputers. This allows us to easily decode the public certificates and encryption keys. Although the frequency of using public certificates is decreasing due to the abolition of public certificates in May 2020, Republic of Korea Army still uses public certificates for various defense authentication systems. This reality calls for a stronger security systems. Meanwhile, korean technology companies have developed a portable USB security token that can increase security against the use of the quantum computer, and the author suggests the application of it at the defense environment. This report suggests the application of the defense and its expected effectiveness.

Strong naval power is needed to protect the sea, the lifeline of the national economy and people's lives. The navy has been operating with the increase of forces and the selection of officers to achieve its mission, and long-term service officers are selected every year. In this study, problems were identified through the analysis of relative influence of the long-term service selection system for naval officers by evaluation factors. As a result of relative influence on the selection data for long-term service of 203 officers over the past 3 years(2018∼2020) showed education results(25.05%) > english ability(23.33%) > work evaluation(11.23%) > prize(10.91%). In order to equal the relative influence and the rate of allocation by evaluation factors, higher the score of work evaluation, command recommendation, and physical strength, lower the score of education results, english ability, and prize were required. Sensitivity analysis was conducted after suggesting the alternatives that adjusted the scoring by ±2∼5, ±2∼10 points. As a result of calculating the relative influence on the alternatives, rankings of the score and the relative influence gradually became similar.

This study suggests a machine learning model for predicting the production quality of free-machining 303-series stainless steel small rolling wire rods according to the manufacturing process's operation condition. The operation condition involves 37 features such as sulfur, manganese, carbon content, rolling time, and rolling temperature. The study procedure includes data preprocessing (integration and refinement), exploratory data analysis, feature selection, machine learning modeling. In the preprocessing stage, missing values and outlier are removed, and variables for the interaction between processes and quality influencing factors identified in existing studies are added. Features are selected by variable importance index of lasso regression, extreme gradient boosting (XGBoost), and random forest models. Finally, logistic regression, support vector machine, random forest, and XGBoost is developed as a classifier to predict good or defective products with new operating condition. The hyper-parameters for each model are optimized using k-fold cross validation. As a result of the experiment, XGBoost showed relatively high predictive performance compared to other models with accuracy of 0.9929, specificity of 0.9372, F1-score of 0.9963 and logarithmic loss of 0.0209. In this study, the quality prediction model is expected to be able to efficiently perform quality management by predicting the production quality of small rolling wire rods in advance.

This study studied a system that can redesign the production site layout and respond with dynamic simulation through fabric production process innovation for smart factory promotion and digital-oriented decision making of the production process. We propose to reflect the required throughput and throughput per unit facility of fabric production process as probability distribution, and to construct data-driven metabolism such as data collection, data conversion processing, data rake generation, production site monitoring and simulation utilization. In this study, we demonstrate digital-centric field decision smartization through architectural design for the smartization of fabric production plants and dynamic simulations that reflect it.

The diaphragm is an important part because it plays an important role in changing the flow direction of hightemperature and high-pressure steam in the steam turbine. Because it is subjected to high pressure by high temperature steam, there should be great concerns about breakage of parts, runouts due to vibration by rotating parts, and deformation due to creep effect and fatigue breakage due to long-term use in high temperature environments. In order to ensure the safety of turbine components in such a harsh environment, structural analysis should be prioritized prior to manufacturing prototypes. In this study, in order to verify the design stability of the diaphragm, physical safety is checked through static analysis, vibration analysis, and fatigue analysis, and the fatigue life is predicted. The total deformation, equivalent stress, and strain are determined by static analysis, and the stress and total deformation by the harmonic response are obtained through vibration analysis, and the stability is judged by comparing it with the characteristic value. We intend to verify the safety of the design and propose a complementary diaphragm design.

In this study, graphene was rapidly grown by chemical vapor deposition using a liquid cell for supplying methanol as a carbon source of graphene. To realize the rapid growth, methanol which is carbon-contained organic solvent was used instead of methane gas, a widely used carbon source for graphene growth. The graphene grown with the growth time as a variable was transferred to a SiO2/ Si substrate with an oxide thickness of 300 nm to confirm whether it was grown with full coverage with an optical microscope. The results confirmed a full coverage in 0.5 min of growth. The Raman spectra also confirmed the G-peak position at 1585.0 cm−1 and an intensity ratio of 2D/G at 2.3 or higher. Concerning electrical transport characteristics, at an induced carrier density of 1 × 1012 cm−2, the hole (μh) and electron (μe) mobilities were 1524 cm2 V−1 s−1 and 1528 cm2 V−1 s−1, respectively. Thus, our study confirmed that high-quality, large-area graphene can be grown within 0.5 min.

The study aims to define the Korean Wave as global attention to Korea’s unique culture and consider the specificity of traditional Korean fashion images in Korean Wave content. The research method of this study is a case study through literature research. In order to collect Korean Wave content on YouTube, 24 channels with the highest number of views were selected from among content uploaded from 2018 to the present through keyword search, and up to two channels with high views showing traditional Korean fashion images. As a result of selecting the analysis target, 41 Korean Wave videos and 368 costumes were selected and analyzed based on fashion style elements, including item, color, detail, motif, styling, silhouette, and accessory. As a result of the study, music, broadcast, fashion, and other content were found in the Korean Wave content fields in which Korean fashion style appeared, and the characteristics of each field were derived. Music content was characterized by fashion style excluding stereotypes about traditional Korean costume, broadcast and fashion content was characterized by fashion style inherited from traditional costume, and other content was characterized by symbolic fashion style of traditional culture. This study is meaningful in revealing the formative characteristics of traditional Korean design elements recently shared online through the study of Korean traditional fashion images in Korean Wave content.

The objective of this study was to develop a fashion therapy program for improving body image and self-esteem among male workers. Accordingly, the demand for fashion therapy programs was examined by conducting a literature review, survey, and in-depth interviews with men working in the Daegu and Gyeongbuk areas. The results are summarized as follows. The fashion therapy program followed a framework of “introduction-development-final” and was 60 minutes in length, for four sessions (one per week). The contents of the program consisted of a study of the participants’ appearance and any concerns they had about their body in Session 1. In Session 2, differences in image perception were examined according to color coding of menswear and personal color. Session 3 comprised understanding what styling is required to supplement men’s body shape and what style is suitable for each participant. The content of Session 4 determined how to build social performance or positive image using nonverbal elements. Overall, this study has great significance in that it has developed a study on fashion therapy program originally applied for psychological treatment with women that has been adapted as a program to help improve positive emotions and social competitiveness of male workers in an office environment.