• Journal of the Korean GEO-environmental Society
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• v.23 no.12
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• pp.55-61
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• 2022

Carbon dioxide is one of the greenhouse gases in the atmosphere and much research is underperforming in reducing carbon dioxide. Geological carbon dioxide storage is considered the primary technique for global warming prevention. So, technic development for storing carbon dioxide is required. Using surfactant is considered an effective material for geological carbon dioxide storage. However, research on using surfactants for carbon dioxide sequestration is not enough. In this study, a 2D micromodel experiment depends on the surfactant type (sodium dodecyl sulfate and sodium dodecylbenzene sulfonate), concentration and carbon dioxide injection rate. As result, geological carbon dioxide sequestration efficiency is increased according to surfactant concentration and carbon dioxide injection rate increase. However, efficiency no more increases after critical concentration and rate.

• BMB Reports
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• v.55 no.11
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• pp.571-576
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• 2022

Advancements in the field of proteomics have provided opportunities to develop diagnostic and therapeutic strategies against various diseases. About half of the world's population remains at risk of malaria. Caused by protozoan parasites of the genus Plasmodium, malaria is one of the oldest and largest risk factors responsible for the global burden of infectious diseases with an estimated 3.2 billion persons at risk of infection. For epidemiological surveillance and appropriate treatment of individuals infected with Plasmodium spp., timely detection is critical. In this study, we used combinations of depletion of abundant plasma proteins, 2-dimensional gel electrophoresis (2-DE), image analysis, LC-MS/MS and western blot analysis on the plasma of healthy donors (100 individuals) and vivax and falciparum malaria patients (100 vivax malaria patients and 8 falciparum malaria patients). These analyses revealed that α1-antichymotrypsin (AACT) protein levels were elevated in vivax malaria patient plasma samples (mean fold-change ± standard error: 2.83 ± 0.11, based on band intensities), but not in plasma from patients with other mosquito-borne infectious diseases. The results of AACT immunoblot analyses showed that AACT protein was significantly elevated in vivax and falciparum malaria patient plasma samples (≥ 2-fold) compared to healthy control donor plasma samples, which has not been previously reported.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.269-274
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• 2022

With the advent of the Fourth Industrial Revolution modern society demands global convergence talent with expertise. The purpose of this study is to suggest the Person-organizational Fit can be enhanced only when university institutions enhance the learning flow and learning interest of Chinese students. Only when the suitability of Chinese students and Univ. is good will it be of great help to the educational performance and administrative management of international students, and the learning atmosphere and university image can be promoted. However, international students with excessive self-efficacy may have a negative effect on Person-organizational Fit to making it difficult to educate and manage students. On the other hand, for international students with low self-efficacy, the higher the immersion in learning, the higher the individual-organization (Univ) suitability.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.11
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• pp.473-482
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• 2021

Although several Hangul generation models using deep learning have been introduced, they require a lot of data, have a complex structure, requires considerable time and resources, and often fail in style conversion. This paper proposes a model CKFont using the components of the initial, middle, and final components of Hangul as a way to compensate for these problems. The CKFont model is an end-to-end Hangul generation model based on GAN, and it can generate all Hangul in various styles with 28 characters and components of first, middle, and final components of Hangul characters. By acquiring local style information from components, the information is more accurate than global information acquisition, and the result of style conversion improves as it can reduce information loss. This is a model that uses the minimum number of characters among known models, and it is an efficient model that reduces style conversion failures, has a concise structure, and saves time and resources. The concept using components can be used for various image transformations and compositing as well as transformations of other languages.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.3
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• pp.701-720
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• 2023

Aerial objects are more challenging to segment than normal objects, which are usually smaller and have less textural detail. In the process of segmentation, target objects are easily omitted and misdetected, which is problematic. To alleviate these issues, we propose local aggregation feature pyramid networks (LAFPNs) and pyramid integrated context modules (PICMs) for aerial object segmentation. First, using an LAFPN, while strengthening the deep features, the extent to which low-level features interfere with high-level features is reduced, and numerous dense and small aerial targets are prevented from being mistakenly detected as a whole. Second, the PICM uses global information to guide local features, which enhances the network's comprehensive understanding of an entire image and reduces the missed detection of small aerial objects due to insufficient texture information. We evaluate our network with the MS COCO dataset using three categories: airplanes, birds, and kites. Compared with Mask R-CNN, our network achieves performance improvements of 1.7%, 4.9%, and 7.7% in terms of the AP metrics for the three categories. Without pretraining or any postprocessing, the segmentation performance of our network for aerial objects is superior to that of several recent methods based on classic algorithms.

• Korea Trade Review
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• v.42 no.1
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• pp.125-139
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• 2017

According to the US market research firm "Strategy Analytics(SA)", there is a sudden change of wind blowing in the global smart-phone market. In particular, several Chinese firms such as Huawei, Xiaomi and Oppo show a rapid growth in the pace of Chinese market, whereas other leading players like Apple and Samsung has slowly grown in China market. Therefore, this study will investigate the main antecedents of repurchase intention of smart phones in post-90th generation in China. In addition to this, the mediating effect of SIC will be analyzed. The results of the study are as follows; first, there is significant relationships among brand, individual experience and repurchase intention, on the other hand, there is no significant relationships between design, price, function factor and repurchase intention; second, SIC partially mediate the relationship between brand factors and repurchase intention. Based on the results targeted to post 90th generation in China, several implications are suggested for smart phone firms.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.942-943
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• 2021

The present work proposes a classification system for the HEp-2 cell images using an unsupervised deep feature learning method. Unlike most of the state-of-the-art methods in the literature that utilize deep learning in a strictly supervised way, we propose here the use of the deep convolutional autoencoder (DCAE) as the principal feature extractor for classifying the different types of the HEp-2 cell images. The network takes the original cell images as the inputs and learns to reconstruct them in order to capture the features related to the global shape of the cells. A final feature vector is constructed by using the latent representations extracted from the DCAE, giving a highly discriminative feature representation. The created features will be fed to a nonlinear classifier whose output will represent the final type of the cell image. We have tested the discriminability of the proposed features on one of the most popular HEp-2 cell classification datasets, the SNPHEp-2 dataset and the results show that the proposed features manage to capture the distinctive characteristics of the different cell types while performing at least as well as the actual deep learning based state-of-the-art methods.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.135-140
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• 2023

In the era of globalization, universal values and empathy are analyzed as important factors in the success of media content. In this context, the perspective of interculturalism is meaningful in K-culture discourse. The TV drama <Itaewon Class> presented a storytelling structure in which the existing order was overturned and new values triumphed. This concept has led to great success in the global market. First of all, it shows multiculturality through the symbolic space of Itaewon. It reproduces people who have various cultural differences in various standards. Characters with diverse values realize intercultural values through cultural dialogue. Such storytelling is evaluated as something that can be widely accepted by people around the world. Interculturalism enables us to seek the direction of sustainable Korean Wave.

• Korea Trade Review
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• v.47 no.2
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• pp.155-174
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• 2022

This study aims to analyze the effect of service quality on e-commerce utilization performance in B2B market. Measurement factors derived from the survey were examined, and whether they had a positive effect on the performance of e-commerce utilizing was examined. The survey period was conducted on the Likert-5 score scale for about four months from November 2021 to February 2022, and 2,200 copies were distributed online and offline, and a total of 268 copies were used for empirical analysis. The moderating effect of the research methodology was analyzed by using multiple regression analysis and PROCESS MACRO. Three factors of service quality were secured and the influence relationship on e-commerce utilization performance was derived. Study results were as follows. First, interaction, logistics and economics have a positive effect on the level of e-commerce utilization. It means SMEs can increase the level of use of e-commerce as they produce and deliver goods with high economic contribution from the perspective of foreign companies, accuracy of goods transportation services, and purchasing companies. Second, It was confirmed that the effect of service quality on the utilization performance of e-commerce varies depending on the degree of corporate image. Therefore, it will be important to plan a management strategy first to improve service quality in order to increase e-commerce activities.

• Journal of The Korean Society of Agricultural Engineers
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• v.66 no.3
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• pp.25-37
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• 2024

Global warming-induced drought inflicts significant socio-economic and environmental damage. In Korea, the persistent drought in the southern region since 2022 has severely affected water supplies, agriculture, forests, and ecosystems due to uneven precipitation distribution. To effectively prepare for and mitigate such impacts, it is imperative to develop proactive measures supported by early monitoring systems. In this study, we analyzed the spatiotemporal changes of multiple evapotranspiration-based drought indices, focusing on the flash drought event in the southern region in 2022. The indices included the Evaporative Demand Drought Index (EDDI), Standardized Precipitation Evapotranspiration Index (SPEI) considering precipitation and temperature, and the Evaporative Stress Index (ESI) based on satellite images. The Standardized Precipitation Index (SPI) and SPEI indices utilized temperature and precipitation data from meteorological observation stations, while the ESI index was based on satellite image data provided by the MODIS sensor on the Terra satellite. Additionally, we utilized the Evaporative Demand Drought Index (EDDI) provided by the North Oceanic and Atmospheric Administration (NOAA) as a supplementary index to ESI, enabling us to perform more effective drought monitoring. We compared the degree and extent of drought in the southern region through four drought indices, and analyzed the causes and effects of drought from various perspectives. Findings indicate that the ESI is more sensitive in detecting the timing and scope of drought, aligning closely with observed drought trends.