• Korean Journal of Comparative Education
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• v.27 no.3
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• pp.213-238
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• 2017

This paper aims to point out that the contemporary textbook is a common cognitive construct, and that the realistic drawings in the textbooks have played an important role in shaping the world recognition. The main subjects of this study are the racial-ethnic illustrations of elementary school geography textbooks, published by the Japanese Ministry of Education, the Japanese Government-General of Taiwan and Korea, the educational association of Manchu. By comparing the same factors in various textbooks, it examines how the temporal and spatial recognition of the world is adjusted by visual representation. The main findings of this study are three fold. First, the world was introduced to the extent of the sum that the census and the classifications of racial and ethnic groups were adopted. And the world appeared later in the year supported by the racial and ethnic minorities. Second, the expressive style of racial and ethnic groups changed from an emphasis on a heterogeneous part as an object of scientific observation in the early stage to a later one with a life culture similar to the reader. Third, racial ethnic illustrations have been used differently depending on the publishing region in the Empire, giving readers in different regions with different images of the same category. In many cases, it was possible to know the politics of representation and the use of certain racial ethnic illustrations. The textbooks of the first half of the 20th century gave great recognition to the people who could not meet with the readers by using the illustrations. A child in the mainland is aware of his position in a "viewing position" while viewing various empire people through the textbook. On the other hand, in the textbooks of the colonial children, they stood in the position of 'being seen', and showed a change in internalizing the position of the mainland along with the expansion of the empire.

• Geophysics and Geophysical Exploration
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• v.1 no.1
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• pp.31-42
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• 1998

Recently crosshole seismic tomography has come to be widely used especially for the civil engineering, because it can provide more detail information than any other surface method, although the resolution of tomogram will be inevitably deteriorated to some extent due to the limited wavefield aperture on the nonuniqueness of traveltime inversion. In addition, our field sites often consist of a high-velocity bed rock overlain by low-velocity rock, sometimes with a contrast of more than 45 percent, and furthermore the bed rock is folded. The first arriving waves can be then the refracted ones that travel along the bed rock surface for some source/receiver distances. Thus, the desirable first arrivals can be easily misread that cause severe distortion of the resulting tomogram, if it is concerned with (straight ray) traveltime inversion procedure. In this case, comparision with synthetic data (forward modeling) is a valuable tool in the interpretation process. Besides, abundant information is contained in the crosshole data. For instance, examination of tube waves can be devoted to detecting discontinuities within the borehole such as breakouts, faults, fractures or shear zones as well as the end of the borehole. Specific frequency characteristics of marine silty mud will help discriminate from other soft rocks. The aim of this paper is to present several strategies to analyze and interpret the crosshole data in order to improve the ability at first to determine the spatial dimensions of interwell anomalies and furthermore to understand the underground structures. To this end, our field data are demonstrated. Possibility of misreading the first arrivals was illustrated. Tube waves were investigated in conjunction with the televiewer images. Use of shot- and receiver gathers was examined to benefit the detectabilities of discontinuities within the borehole.

• Applied Chemistry for Engineering
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• v.32 no.5
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• pp.509-515
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• 2021

In this study, poly lactic-co-glycolic acid (PLGA) nanoparticles (PNP) were prepared through double (w/o/w) emlusion and emulsifying solvent-evaporation technique using PLGA, which has biocompatibility and biodegradability. To maximize stability and bioavailability of the particles, chitosan-coated PLGA nanoparticles (CPNP) were prepared by charge interaction between PNP and chitosan. We demonstrated that CPNP can be utilized as a drug carrier of oral administration. The chemical structure of CPNP was analyzed by ¹H-NMR and FT-IR, and all characteristic peaks appeared, confirming that it was successfully prepared. In addition, particle size and zeta potential of CPNP were analyzed using dynamic light scattering (DLS) while morphological images were obtained using transmission electron microscope (TEM). Thermal decomposition behavior of CPNP was observed through thermogravimetric analysis (TGA). In addition, the cytotoxicity of CPNP was confirmed by MTT assay at HEK293 and L929 cell lines, and it was proved that there is no toxicity confirmed by the cell viability of above 70% at all concentrations. These results suggest that the CPNP developed in this study may be used as an oral drug delivery carrier.

• Composites Research
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• v.34 no.5
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• pp.296-304
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• 2021

This study presented the evaluation of the stamp forming process for L-shape CF/PEKK thermoplastic composite using the finite element model. The formability of three different trimming allowances has been examined for representative product geometry. The results showed that those manufactured by high trimming allowance showed more excellent formability in those areas. Moreover, the effects of the trimming allowances on the stress, thickness, wrinkle distributions of thermoplastic composites fabricated with the stamp forming process were evaluated. The comparison of the simulation and experimental results for the thickness and wrinkle distributions proved the accuracy of the stamp forming model. The crystallinity of the composite was performed by differential scanning calorimetry (DSC). The void content of the composite was evaluated by matrix digestion. Then, the fabricated structure was characterized and achieved high quality in crystallinity and void content. Consequently, the presented FEM modeling shows excellent potential for application in the aircraft product design process. This pragmatic approach could efficiently offer a valuable solution for the thermoplastic composite manufacturing field.

• Convergence Security Journal
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• v.21 no.2
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• pp.57-66
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• 2021

Deep neural networks (DNNs) provide excellent performance for image, speech, and pattern recognition. However, DNNs sometimes misrecognize certain adversarial examples. An adversarial example is a sample that adds optimized noise to the original data, which makes the DNN erroneously misclassified, although there is nothing wrong with the human eye. Therefore studies on defense against adversarial example attacks are required. In this paper, we have experimentally analyzed the success rate of detection for adversarial examples by adjusting various parameters. The performance of the ensemble defense method was analyzed using fast gradient sign method, DeepFool method, Carlini & Wanger method, which are adversarial example attack methods. Moreover, we used MNIST as experimental data and Tensorflow as a machine learning library. As an experimental method, we carried out performance analysis based on three adversarial example attack methods, threshold, number of models, and random noise. As a result, when there were 7 models and a threshold of 1, the detection rate for adversarial example is 98.3%, and the accuracy of 99.2% of the original sample is maintained.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.7
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• pp.191-198
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• 2021

Since the size of training dataset become large and the model is getting deeper to achieve high accuracy in deep learning, the deep neural network training requires a lot of computation and it takes too much time with a single node. Therefore, distributed deep learning is proposed to reduce the training time by distributing computation across multiple nodes. In this study, we propose hybrid allreduce strategy that considers the characteristics of each layer and communication and computational overlapping technique for synchronization of distributed deep learning. Since the convolution layer has fewer parameters than the fully-connected layer as well as it is located at the upper, only short overlapping time is allowed. Thus, butterfly allreduce is used to synchronize the convolution layer. On the other hand, fully-connecter layer is synchronized using ring all-reduce. The empirical experiment results on PyTorch with our proposed scheme shows that the proposed method reduced the training time by up to 33% compared to the baseline PyTorch.

• (The) Research of the performance art and culture
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• no.37
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• pp.95-125
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• 2018

While myriads of small and large festivals are being organized in many regions across the country after the successful establishment of local governments around 2000, the undeniable fact is that the identity and purpose of such events are not properly reflected in their programs. This paper carefully examines the 2017 Jeonju International Sori Festival as an exemplary case of a local performing art festival to contribute to the improvement of performing art festivals in the future. In particular, it focuses on a musical program with respect to the composition, content, meaning, and direction that can effectively reveal the identity and intention of a festival. The most significant accomplishment of the 2017 Jeonju International Sori Festival is that it presented a local cultural resource, Pansori, in various ways not only to manifest its identity but also to satisfy both the enthusiasts of such musical genre and the general audience. The achievements of the 2017 Jeonju International Sori Festival through the performing art program can be summarized as follows: first, it created a new image of traditional music; second, it realized the desire to rise above regional and generational demarcations through cultural communication; third, it provided a stage for budding and local artists; fourth, it served as a vehicle for summoning the public; and last, it was conducive to expanding the spectrum of potential audience. This paper has limitation in covering the subject of the improvement of performing art festivals because it analyzed only one event. In follow-up studies, a more objective discussion should be performed by further analyzing the 2017 Jeonju International Sori Festival in comparison with various other performing art festivals.

• Tunnel and Underground Space
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• v.29 no.3
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• pp.184-196
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• 2019

This study aims to extract a 3D image of micro-cracks generated by hydraulic fracturing tests, using the deep learning method and X-ray computed tomography images. The pixel-level cracks are difficult to be detected via conventional image processing methods, such as global thresholding, canny edge detection, and the region growing method. Thus, the convolutional neural network-based encoder-decoder network is adapted to extract and analyze the micro-crack quantitatively. The number of training data can be acquired by dividing, rotating, and flipping images and the optimum combination for the image augmentation method is verified. Application of the optimal image augmentation method shows enhanced performance for not only the validation dataset but also the test dataset. In addition, the influence of the original number of training data to the performance of the deep learning-based neural network is confirmed, and it leads to succeed the pixel-level crack detection.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.257-266
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• 2018

The implication of this study is that the development and market participation of the next generation eco - friendly vehicles is accelerating, and consumers 'interest is increasing. Also, the product attributes of environment - friendly vehicles and the government's policy support for the next generation eco - friendly vehicles. The purpose of this study is to investigate the effect of purchasing behavior of eco-friendly vehicles on the product attributes of eco-friendly vehicles. Economic, image, functionality, and service convenience have positive effects on consumers' purchase intention. As a result of examining the moderating effect of the government support policy between the product attributes of environment - friendly vehicles and the purchase intentions of environment - friendly vehicles, the government or municipal government has no control effect such as vehicle price subsidy, vehicle tax subsidy, Carbon tax support to prevent emissions was found to have a moderating effect of supporting 10,000 won per ton, even if 5,000 won per ton was supported. This suggests that consumers who prefer to buy eco-friendly vehicles are more likely to have environmental factors.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.373-379
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• 2019

This study examines the process and scope of visual directing through the case of SM Entertainment, and explores the role of visual directors. As a result of the case study, SM created the visual directing team composed of art director and visual designers within the creative headquarters and was actively introducing visual directing for the development of idol. The visual directing process of SM, which is being developed as a part of the star marketing, consists of analyzing the environment in marketing strategy, establishing marketing strategy related to idol, setting up target image per artist, and finally planning and managing the visual directing project. The visual director in SM is required to have creative talent, logical persuasion, information analytical ability, visual expression ability, and field application ability. SM also applies visual directing accumulated from idol singers to SM business areas such as MD product design and production, product composition and designer collaboration, and SM town COEX artium. This paper have significance in attracting visual directing to the academic field.