• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.4
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• pp.65-75
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• 2021

This study explores multiple variables of an OTT service for discovering hidden relationship between rating and the other variables of each successful and failed content, respectively. In order to extract key variables that are strongly correlated to the rating across the contents, this work analyzes 170 Netflix original dramas and 419 movies. These contents are classified as success and failure by using the rating site IMDb, respectively. The correlation between the contents, which are classified via rating, and variables such as violence, lewdness and running time are analyzed to determine whether a certain variable appears or not in each successful and failure content. This study employs a regression analysis to discover correlations across the variables as a main analysis method. Since the correlation between independent variables should be low, check multicollinearity and select the variable. Cook's distance is used to detect and remove outliers. To improve the accuracy of the model, a variable selection based on AIC(Akaike Information Criterion) is performed. Finally, the basic assumptions of regression analysis are identified by residual diagnosis and Dubin Watson test. According to the whole analysis process, it is concluded that the more director awards exist and the less immatatable tend to be successful in movies. On the contrary, lower fear tend to be failure in movies. In case of dramas, there are close correlations between failure dramas and lower violence, higher fear, higher drugs.

• Journal of Ocean Engineering and Technology
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• v.35 no.6
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• pp.446-456
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• 2021

To build an environment facility of a large-scale ocean basin, various detailed reviews are required, but it is difficult to find data that introduces the related research or construction processes on the environment facility. The current generator facility for offshore structure safety evaluation tests should be implemented by rotating the water of the basin. However, when the water in the large basin rotates, relatively large flow irregularities may occur and the uniformity may not be adequate. In this paper, design and review were conducted to satisfy the performance goals of the DOEB through computational numerical analysis on the shape of the waterway and the flow straightening devices to form the current in the large tank. Based on this, the head loss, which decreases the flow rate when the large tank water rotates through the water channel, was estimated and used as the pump capacity (impeller) design data. The impeller of the DOEB current generator was designed through computational numerical analysis (CFD) based on the lift surface theory from the axial-type impeller shape for satisfying the head loss of the waterway and maximum current velocity. In order to confirm the performance of the designed impeller system, the flow rate and flow velocity performance were checked through factory test operation. And, after installing DOEB, the current flow rate and velocity performance were reviewed compare with the original design target values. Finally, by measuring the current velocity of the test area in DOEB formed through the current generator, the spatial current distribution characteristics in the test area were analyzed. Through the analysis of the current distribution characteristics of the DOEB test area, it was confirmed that the realization of the maximum current velocity and the average flow velocity distribution, the main performance goals in the waterway design process, were satisfied.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.714-726
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• 2022

The purpose of this paper is to find out the way of utilizing phrases of Chinese poetry in Manjeongje and its musical characteristics. To this end, the roles of phrases contained in the Pansori words were classified into five patterns: landscape description, strengthening of pleasant emotions, strengthening of sad emotions, wordplay, and combination of various poems. As a result of analysis, phrases quoted in sad mood part consist of slow rhythm of Jinyangjo and Jungmori, and sad melody of Gyemyun-gil and Jingyemyun tone; thus, both the rhythm and melody are expressed in accordance with the mood of poems. On the other hand, the melody in the landscape description parts, and the rhythm in the joyful feeling and wordplay parts showed the characteristics of determining the mood. In addition, when applying the analysis results to the perspective of Pansori composition, it is necessary to discover novel texts, apply to editorials, and study musical implementation suitable for the original mood in order to create more artistic Pansori.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.322-330
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• 2021

In modern aquaculture, mass mortality is a very important issue that determines the success of aquaculture business. If a fish disease is not detected at an early stage in the farm, the disease spreads quickly because the farm is a closed environment. Therefore, early detection of diseases is crucial to prevent mass mortality of fish raised in farms. Recently deep learning-based automatic identification of fish diseases has been widely used, but there are many difficulties in identifying objects due to insufficient images of fish diseases. Therefore, this paper suggests a method to generate a large number of fish disease images by synthesizing normal images and disease images using SinGAN deep learning model in order to to solve the lack of fish disease images. We generate images from the three most frequently occurring Paralichthys Olivaceus diseases such as Scuticociliatida, Vibriosis, and Lymphocytosis and compare them with the original image. In this study, a total of 330 sheets of scutica disease, 110 sheets of vibrioemia, and 110 sheets of limphosis were made by synthesizing 10 disease patterns with 11 normal halibut images, and 1,320 images were produced by quadrupling the images.

• Journal of architectural history
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• v.31 no.5
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• pp.35-44
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• 2022

Although Changgyeong-gung was devastgated by Japanease invasion in 1592, it was restored during the reign of Gwanghaegun, had remembered of early Joseon danasty's architecturural order. It was destroyed several times by fire after that but was rebuilt immedieately. There are Donggol-do and Donggol-dohyeong, so we can fine the change of architectures in Changgyeong-gung. Jibbokheon(集福軒) and Yeongchunheon(迎春軒) are marked in another location and architectures in Donggon-do and Donggon-dohyeong. The reason has been known that it was rebuilt after the fire in 1830. As a result of reviewing the record of birth of crown prince Sado and movement of coffin of King Jeong-jo in funeral ceremony, it was confirmed that notation of Jibbokheon and Yeongchunhyeon was misprinted. In particular, Yeongchunheon confirmed the possibility that the existing building was built by extending it while applying the asymmetrical building with four-purlins structure method during the reign of King Jeongjo, and that it was reconstructed by moving Yeonyeonghap when it was destroyed by fire 1830. And although now Jibbokheon and Yeongchunhyeon(延英閤) are connected, nothern part of Jibbokheon did not burn in the fire, so it was judged that original architectural plan were maintained until now. The current building north of Jibbokheon was built before 1695 (21st year of King Sukjong), which was first identified in the Gunggeolji(宮闕志), and there is a possibility that it may have been a part of Janggyeongmun(長慶門) inner corridor built before 1633. The present building north of Jibbokheon has great architectural significance in that it maintains the structural method of the early Joseon Dynasty which was often applied to buildings with a small scale of inner palace.

• Journal of Korea Trade
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• v.24 no.6
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• pp.157-172
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• 2020

Purpose - This research empirically proves the extent to which export insurance promotes Korean exports to research object countries among New Southern countries. The outcome of this research will present implications for the operations of export insurance for exports to these countries. Design/methodology - For the empirical analysis, the export equation was composed using a basic gravity model. Based on this, the determinants of Korea's exports to research object countries were analyzed. In this study, a panel unit root test and panel cointegration test were conducted. As a result of the panel unit root test, it was confirmed that the variables of the panel data are not belonging to I(0), but to I(1). As a result of the panel cointegration test, it was established that there are long-term stable relationships among all variables. Accordingly, the gravity model was estimated using original data in order to reduce the information loss caused by the first difference, in spite of individual data belonging to I(1). Findings - For the estimated results of panel OLS, the estimated coefficient of short-term export insurance was 0.56-0.64, with statistically significant results at the significance level of 1%. In addition, for the analysis results of the random effect model, the estimated coefficient of short-term export insurance was 0.59-0.64%, with a statistically significant result at the 1% significance level. This could indicate that Korean export insurance has positive influences on export promotion to New Southern countries. Originality/value - The research implies that export insurance has a 4.1 to 4.7 multiplier effect in expanding exports to the New Southern countries for Korea. This research has intensively analyzed the effects of export insurance on the promotion of exports to a selected area by a government foreign economic policy, which is the originality and value of this paper.

• Journal of the Korea Society for Simulation
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• v.30 no.4
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• pp.21-29
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• 2021

Inverse synthetic aperture radar (ISAR) image is a powerful tool to show the major scattering regions (scatterer points) on the target. It is normally used to identify and classify targets. Finding information for the scatter points of ISAR image plays an important role in modeling the features of targets. In this paper, we propose a modeling method to extract some information about the scatterer points by minimizing approximating error. Here, the extracted information include not only the location of scatterer points but also some statistical data about the error of the their location. These extracted data can be used to implement the randomness of the location of the scatterer points. Furthermore, we reconstruct an image from the extracted data for scatterer points obtained by our proposed method. And we show that the reconstructed ISAR image is well approximated to the original ISAR image in order to justify our proposed modeling method.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.32 no.4
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• pp.393-401
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• 2022

Objectives: OHSMS, which was introduced by Serious Accident Punishment Act as a means for safety and health management at work place, but it is not effective according to recent statistical data. Therefore, I intend to compare the OHSMS regulations of SAPA based on ISO 45001, the international standard of OHSMS, and examine the differences and problems. Methods: The OHSMS regulation of Serious Accident Punishment Act was compared and analyzed using the content standard of ISO 45001, the international standard of OHSMS. The construction and operation aspects and differences in key concept definitions of OHSMS were analyzed in depth. Results: ISO 45001 aims to provide OHSMS with an autonomous framework to manage risks and opportunities in safety and health management, whereas Serious Accident Punishment Act aims for safety and health management through an interest and effort in safety and health management on the premise of legal responsibilities of corporations and CEO. As a result, comparing to ISO 45001 in construction and operation aspects and differences in key concept definitions of OHSMS, the OHSMS of Serious Accident Punishment Act do not cover the entire business in concept definition and construction. Conclusions: In order for Serious Accident Punishment Act to achieve its original purpose of preventing serious accidents through systemic safety and health management, it is necessary to correctly understand the contents of ISO 45001 and to revise the OHSMS regulations in a direction that can ensure predictability and feasibility.

• Journal of Korean Society for Quality Management
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• v.50 no.4
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• pp.701-716
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• 2022

Purpose: This study aims to predict the dry cargo transportation market economy. The subject of this study is the BDI (Baltic Dry Index) time-series, an index representing the dry cargo transport market. Methods: In order to increase the accuracy of the BDI time-series, we have pre-processed the original time-series via time-series decomposition and data augmentation techniques and have used them for ANN learning. The ANN algorithms used are Multi-Layer Perceptron (MLP), Recurrent Neural Network (RNN), and Long Short-Term Memory (LSTM) to compare and analyze the case of learning and predicting by applying time-series decomposition and data augmentation techniques. The forecast period aims to make short-term predictions at the time of t+1. The period to be studied is from '22. 01. 07 to '22. 08. 26. Results: Only for the case of the MAPE (Mean Absolute Percentage Error) indicator, all ANN models used in the research has resulted in higher accuracy (1.422% on average) in multivariate prediction. Although it is not a remarkable improvement in prediction accuracy compared to uni-variate prediction results, it can be said that the improvement in ANN prediction performance has been achieved by utilizing time-series decomposition and data augmentation techniques that were significant and targeted throughout this study. Conclusion: Nevertheless, due to the nature of ANN, additional performance improvements can be expected according to the adjustment of the hyper-parameter. Therefore, it is necessary to try various applications of multiple learning algorithms and ANN optimization techniques. Such an approach would help solve problems with a small number of available data, such as the rapidly changing business environment or the current shipping market.

• Nutrition Research and Practice
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• v.16 no.6
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• pp.765-774
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• 2022

BACKGROUND/OBJECTİVES: It is important to determine Dysfunctional eating behaviors such as dietary restraint and overeating tendencies in order to provide weight management and acquire the right habits in children. The purpose of this study was to test the reliability and validity of Dutch Eating Behaviour Questionnaire Children (DEBQ-C) with Turkish preadolescent children. MATERIALS/METHODS: This research included 440 preadolescents (9.3 ± 6.9 years and 235 girls, 205 boys). The instrument is divided into three subscales, each with 20 items. Emotional eating, restrained eating, and external eating are the three subscales. Confirmatory factor analysis (CFA) was used to assess the construct validity of the Turkish version of the DEBQ-C, and Cronbach α values were computed to evaluate the subscale reliabilities. There were 20 observable variables and three latent variables in the hypothesized model. RESULTS: Fit indices for the hypothesized model were good (×2/degree of freedom = 1.96; root mean square error of approximation = 0.05; comparative fit index = 0.95; goodness of fit index = 0.93). These findings revealed that the Turkish version of the DEBQ-C has a factor structure that was identical to the three-factor structure of the original scale. The Turkish version of the DEBQ-C subscales has internal consistency coefficients ranging from 0.72 (external eating) to 0.86. (emotional eating). CONCLUSIONS: The DEBQ-C Turkish version is a viable and reliable tool for measuring overeating tendencies in Turkish preadolescents, according to the findings.