• Clean Technology
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• v.28 no.1
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• pp.38-45
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• 2022

CuCl₂-loaded V₂O₅-WO₃/TiO₂ catalyst showed excellent activity in the catalytic oxidation of elemental mercury to oxidized mercury even under SCR condition in the presence of NH₃, which is well known to significantly inhibit the oxidation activity of elemental mercury by HCl. Moreover, it was confirmed that, when SO₂ was present in the reaction gas together with HCl, excellent elemental mercury oxidation activity was maintained even though CuCl₂ supported on the catalyst surface was converted to CuSO₄. This is thought to be because not only HCl but also the SO₄ component generated on the catalyst surface promotes the oxidation of elemental mercury. However, in the presence of SO₂, the total mercury balance before and after the catalytic reaction was not matched, especially as the concentration of SO₂ increased. In order to understand the cause of this, further studies are needed to investigate the effect of SO₂ in the SnCl₂ aqueous solution employed for mercury species analysis and the effect of sulfate ions generated on elemental mercury oxidation. It was confirmed that SO₂ also promotes NO_x removal activity, which is thought to be because the increase in acid sites by SO₄ generated on the catalyst surface by SO₂ facilitates NH₃ adsorption. The composition change and structure of the components present on the catalyst surface under various reaction conditions were measured by XRD and XRF. These measurement results were presented as a rational explanation for the results that SO₂ enhances the oxidation activity of elemental mercury and the NO_x removal activity in this catalyst system.

• Korean Journal of Agricultural and Forest Meteorology
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• v.24 no.1
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• pp.48-61
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• 2022

South Korea is quite vegetation rich country which has 63% forests and 16% cropland area. Massive NOx emissions from megacities, therefore, are easily combined with BVOCs emitted from the forest and cropland area, then produce high ozone concentration. BVOCs emissions have been estimated using well-known emission models, such as BEIS (Biogenic Emission Inventory System) or MEGAN (Model of Emission of Gases and Aerosol from Nature) which were developed using non-Korean emission factors. In this study, we ran MEGAN v2.1 model to estimate BVO Cs emissions in Korea. The MO DIS Land Cover and LAI (Leaf Area Index) products over Korea were used to run the MEGAN model for June 2012. Isoprene and Monoterpenes emissions from the model were inter-compared against the enclosure chamber measurements from Taehwa research forest in Korea, during June 11 and 12, 2012. For estimating emission from the enclosed chamber measurement data. The initial results show that isoprene emissions from the MEGAN model were up to 6.4 times higher than those from the enclosure chamber measurement. Monoterpenes from enclosure chamber measurement were up to 5.6 times higher than MEGAN emission. The differences between two datasets, however, were much smaller during the time of high emissions. More inter-comparison results and the possibilities of improving the MEGAN modeling performance using local measurement data over Korea will be presented and discussed.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.405-419
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• 2022

The purpose of this study is to find out the progress of social welfare field practice at students, universities, and training institutions in Seoul and Gyeonggi Province during the With COVID-19 era, and to suggest effective social welfare field practice operation plans. To this end, a survey was conducted on 181 people who completed social welfare field practice courses, and the final research results are as follows. First, the operation situation of practice institutions in the era of With COVID-19 was the highest when they were conducted together with 'face-to-face, non-face-to-face', and student satisfaction was positive when partial non-face-to-face practice education was conducted. Despite repeated shutdowns due to COVID-19, the degree of participation in face-to-face services was more than 9 times and the number of supervision was more than 6 times, and many responded that the quality of supervision, a social welfare field training institution, was "generally high." Second, as a result of examining the level of practice performance, trainees, and training institutions, there was a significant relationship between training institution factors and practice performance, and third, as a result of examining how the university, trainees, training institution factors, and practice performance. Therefore, in order to derive the results of social welfare field practice in the era of With Corona, programs to promote and strengthen non-face-to-face exchanges at the university level are necessary, and an education system that also provides non-face-to-face practice guidance suitable for the With Corona era. In addition, various support for the practice system of government ministries and related institutions, including universities and practice institutions, is needed.

• Korean Journal of Remote Sensing
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• v.38 no.6_1
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• pp.1505-1514
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• 2022

Image matching is a crucial preprocessing step for effective utilization of multi-temporal and multi-sensor very high resolution (VHR) satellite images. Deep learning (DL) method which is attracting widespread interest has proven to be an efficient approach to measure the similarity between image pairs in quick and accurate manner by extracting complex and detailed features from satellite images. However, Image matching of VHR satellite images remains challenging due to limitations of DL models in which the results are depending on the quantity and quality of training dataset, as well as the difficulty of creating training dataset with VHR satellite images. Therefore, this study examines the feasibility of DL-based method in matching pair extraction which is the most time-consuming process during image registration. This paper also aims to analyze factors that affect the accuracy based on the configuration of training dataset, when developing training dataset from existing multi-sensor VHR image database with bias for DL-based image matching. For this purpose, the generated training dataset were composed of correct matching pairs and incorrect matching pairs by assigning true and false labels to image pairs extracted using a grid-based Scale Invariant Feature Transform (SIFT) algorithm for a total of 12 multi-temporal and multi-sensor VHR images. The Siamese convolutional neural network (SCNN), proposed for matching pair extraction on constructed training dataset, proceeds with model learning and measures similarities by passing two images in parallel to the two identical convolutional neural network structures. The results from this study confirm that data acquired from VHR satellite image database can be used as DL training dataset and indicate the potential to improve efficiency of the matching process by appropriate configuration of multi-sensor images. DL-based image matching techniques using multi-sensor VHR satellite images are expected to replace existing manual-based feature extraction methods based on its stable performance, thus further develop into an integrated DL-based image registration framework.

• Journal of the Korean Orthopaedic Association
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• v.56 no.3
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• pp.253-260
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• 2021

Purpose: The least constrained prosthesis is generally recommended in primary total knee arthroplasty (TKA). Nevertheless, a varus/valgus constrained (VVC) prosthesis should be implanted when a semi-constrained prosthesis is not good for adequate stability, especially in the coronal plane. In domestic situations, however, the VVC prosthesis could not always be prepared for every primary TKA case. Therefore, it is sometimes impractical to use a VVC prosthesis for unsual unstable situations. This study provides information for preparing VVC prostheses in the preoperative planning of primary TKA through an analysis of primary VVC TKA cases. Materials and Methods: This study reviewed 1,797 primary TKAs, performed between May 2003 and February 2016. The reasons for requiring VVC prosthesis and the preoperative conditions in 29 TKAs that underwent primary TKA with a VVC prosthesis were analyzed retrospectively. Results: In primary TKA, 29 cases (1.6%) in 27 patients (6 male and 21 female) used VVC prosthesis. Two patients underwent a VVC prosthesis on both knees. The mean age of the patients was 63.4 years old (34-79 years). The mean flexion contracture was 16.2° (-20°-90°), and the mean angle of great flexion was 111.7° (35°-145°). The situations requiring a VVC prosthesis were severe valgus deformity in 10 knees, knee stiffness requiring extensive soft tissue release in 10 knees, previously injured collateral ligaments in five knees, and distal femoral bone defect due to avascular necrosis in four knees. The mean tibiofemoral angle was 25.7° (21°-43°) in 10 cases with a valgus deformity. The mean flexion contracture was 37.5° (20°-90°), and the mean range of motion was 48.5° (10°-70°) in 10 cases with knee stiffness. Conclusion: The preparation of VVC prosthesis is recommended, even for primary TKA in cases of severe valgus deformity (tibiofemoral angle>20°), stiff knee (the range of motion: less than 70° with more than 20° flexion contracture), and the cases with a previous collateral ligament injury. This information will help in the preparation of adequate TKA prostheses for unusual unstable situations.

• Journal of Internet Computing and Services
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• v.23 no.5
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• pp.145-154
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• 2022

Automatic Target Recognition (ATR) technology is emerging as a core technology of Future Combat Systems (FCS). Conventional ATR is performed based on IMINT (image information) collected from the SAR sensor, and various image-based deep learning models are used. However, with the development of IT and sensing technology, even though data/information related to ATR is expanding to HUMINT (human information) and SIGINT (signal information), ATR still contains image oriented IMINT data only is being used. In complex and diversified battlefield situations, it is difficult to guarantee high-level ATR accuracy and generalization performance with image data alone. Therefore, we propose a knowledge graph-based ATR method that can utilize image and text data simultaneously in this paper. The main idea of the knowledge graph and deep model-based ATR method is to convert the ATR image and text into graphs according to the characteristics of each data, align it to the knowledge graph, and connect the heterogeneous ATR data through the knowledge graph. In order to convert the ATR image into a graph, an object-tag graph consisting of object tags as nodes is generated from the image by using the pre-trained image object recognition model and the vocabulary of the knowledge graph. On the other hand, the ATR text uses the pre-trained language model, TF-IDF, co-occurrence word graph, and the vocabulary of knowledge graph to generate a word graph composed of nodes with key vocabulary for the ATR. The generated two types of graphs are connected to the knowledge graph using the entity alignment model for improvement of the ATR performance from images and texts. To prove the superiority of the proposed method, 227 documents from web documents and 61,714 RDF triples from dbpedia were collected, and comparison experiments were performed on precision, recall, and f1-score in a perspective of the entity alignment..

• Journal of Intelligence and Information Systems
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• v.28 no.3
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• pp.105-117
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• 2022

This study analyzes the effects between stock returns and interest rate spread, difference between long-term and short-term interest rate through the polynomial linear regression analysis. The existing research concentrated on the business forecast through the interest rate spread focusing on the US market. The previous studies verified the interest rate spread based on the leading indicators of business forecast by moderating the period of long-term/short-term interest rates and analyzing the degree of leading. After the 7th reform of composite indices of business indicators in Korea of 2006, the interest rate spread was included in the items of composing the business leading indicators, which is utilized till today. Nevertheless, there are a few research on stock returns of each industry and interest rate spread in domestic stock market. Therefore, this study analyzed the stock returns of each industry and interest rate spread targeting Korean stock market. This study selected the long-term/short-term interest rates with high causality through the regression analysis, and then understood the correlations with each leading period and industry. To overcome the limitation of the simple linear regression analysis, polynomial linear regression analysis is used, which raised explanatory power. As a result, the high causality was verified when using differences between returns of corporate bond(AA-) without guarantee for three years by leading six months and call rate returns as interest rate spread. In addition, analyzing the stock returns of each industry, the relation between the relevant interest rate spread and returns of the automobile industry was the closest. This study is significant in the aspect of verifying the causality of interest rate spread, business forecast, and stock returns in Korea. Even though it could be limited to forecast the stock price by using only the interest rate spread, it would be working as a strong factor when it is properly utilized with other various factors.

• Journal of Popular Narrative
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• v.27 no.3
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• pp.95-124
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• 2021

As the symbolic images of girls besides its definition have varied according to the age and society, a posthuman girl character recently appears in the digital cinema. This study aims to analyze its cinematic representations and the social contexts in which they are created. For this purpose, the study focuses on what extent the society allows its imagined figurations as a future female body and the meanings revolving around the image of 'technologically body-enhanced female fighter'. Current digital visualization technology has developed to the extent any imaged future humans can be represented, but posthuman girls' representations have its limitation that only a human-like figuration can be allowed in accord with the traditionally idolized image of girls. It is because of the representation logic in which digital cinema is visualized based on perceptual realism that values audiences' experiences. Despite such less critical figuration which does not dare to cross the boundary between the image of human and inhuman, the posthuman girl characters create a new category of the 'dangerous girls' who are both void of sexual femininity and independent of motherhood and heterosexual romance narrative. Of course, they support the modern human-centered belief that humans can take entire control of technology with their moral behaviors and dispel the fear about the negative impact the nature of technology may have on society at large by showing their child-like figuration protecting ethical values. However, the new character of 'unruly girl' exerts her subversive act that seeks to fight against the human-centered liberal humanistic values and melancholic feeling and vulnerability that the neoliberalism and technocracy enforce. When posthuman girl characters are considered to be a marker through which we can see how different social forces are intervening and competing each other in the upcoming posthuman age, the limited figuration of the posthuman girl characters in South Korean movies illustrates the opinionated thoughts toward the instrumentalism in technology but their bloodshed struggles reveal how the corporate or state-governed techno-biopower has oppressively treated and appropriated the human body as the technology-object and also provide a meaningful opportunity to rethink its unethical violence.

• Journal of Popular Narrative
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• v.26 no.1
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• pp.135-174
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• 2020

The article focuses on the student activism experience of the 1990s and 2010s and on the accumulation of everyday experiences created by the conditions of the 2010s against the backdrop of differences in how the composition of 'we' is portrayed in oral narrative. What stands out in the 90s oral narratives on student activism experiences, which were compiled in the 2010s, is the distancing of the culture of student activism at that time. In the words of speakers who experienced university life in the 1990s, the culture of student activism at the university was created through private relationships, and was, needless to say, considered 'natural'. At the same time, however, the 'natural' is said to be 'abnormal' or 'strange' in the context of the 2010s in which it is being talked about, and is meant to be an experience with a certain distance from the present speakers. This aspect is associated with the conditions under which the experience of the 90s is being described in the 2010s. The present, which explains past experiences to speakers, was explained after the 2016 candlelight protest and Gangnam Station femicide protest, and is described as a world that is qualitatively different from before, and is located as an opportunity to create a critical distance from past experiences. This qualitative change, which raises suspicions about the homogenous "we", is based on a newly acquired sense of gender sensitivity, living since the mid-2010s, when gentler issues were the biggest topic in Korean society, among others. In the 2010s, the composition of 'we' is no longer understood as a community of people who share any commonality, but as individuals who unite despite numerous differences. This reveals the experiences of those who have already embodied this in their everyday senses in the 2010s. The 'we' they formed should have nothing to do with private relationships, nor was homogeneity considered the most prominent group, so it was nothing that could explain the 'me' at the time of the demonstration and outside of the venue. It was in that context that the relevant experience was described in a cautious manner throughout. This, in turn, raises the need to ask and understand a new sense of student activism and, moreover, social movements and the sense of unity as 'we'. It should also be asked who is the main body of the movement and what is the use of asking it. Soon, the need and meaning of defining the fixed identity of 'we' in the movement should be questioned. Therefore, it should be asked what fixed positions or coordinates can really represent someone's position.

• Journal of Korea Entertainment Industry Association
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• v.14 no.5
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• pp.59-72
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• 2020

Video games have become a powerful tool to tell a complex story realistically thanks to modern technology. Rockstar Games' Red Dead Redemption 2 (2018), is a video game title that touts cinematic qualities such as superb acting by the voice actors and jaw-dropping cinematography as well as a rich narrative following the protagonist, Arthur Morgan's quest for redemption. Using Aristotle's Poetics and Robert Mckee's Aristotelian theory on storytelling, this study highlights Arthur's gradual change from a ruthless gunman to an altruistic hero, from which it derives the theme of redemption, and his super-objective to protect those he cares about. Then, it also explains a variety of possibilities in the narrative of the game determined by the opened-ended game mechanics, particularly the "honor" system, which reflects Arthur's moral choices on the narrative presentation with different sets of dialogue and endings. However, the study ultimately argues Red Dead Redemption 2 to be incohesive in its storytelling due to "ludonarrative dissonance," a concept coined by Clint Hocking, which indicates a conflict between the narrative and game mechanics of a video game. It's mainly because the game's various narrative choices bring changes to neither the theme nor Arthur's super-objective. Furthermore, the double-standard of evaluation in the "honor" system, and its numeric ranking system of honor also lend themselves to ludonarrative dissonance even further. After all, the study ultimately claims ludonarrative dissonance in Red Dead Redemption essentially disrupts the game's narrative unity, which is Aristotle's one of most emphasized upon traits of any story and signifies the game's instability as a storytelling medium.