• Journal of the Korean Association of Geographic Information Studies
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• v.24 no.3
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• pp.83-98
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• 2021

Urban green space is an important component for enhancing urban ecosystem health. Thus, identifying the spatial structure of urban green space is required to manage a healthy urban ecosystem. The Ministry of Environment has provided the level 3 land cover map(the highest (1m) spatial resolution map) with a total of 41 classes since 2010. However, specific urban green information such as street trees was identified just as grassland or even not classified them as a vegetated area in the map. Therefore, this study classified detailed urban green information(i.e., tree, shrub, and grass), not included in the existing level 3 land cover map, using two types of high-resolution(<1m) remote sensing data(i.e., airborne LiDAR and RGB ortho imagery) in Suwon, South Korea. U-Net, one of image segmentation deep learning approaches, was adopted to classify detailed urban green space. A total of three classification models(i.e., LRGB10, LRGB5, and RGB5) were proposed depending on the target number of classes and the types of input data. The average overall accuracies for test sites were 83.40% (LRGB10), 89.44%(LRGB5), and 74.76%(RGB5). Among three models, LRGB5, which uses both airborne LiDAR and RGB ortho imagery with 5 target classes(i.e., tree, shrub, grass, building, and the others), resulted in the best performance. The area ratio of total urban green space(based on trees, shrub, and grass information) for the entire Suwon was 45.61%(LRGB10), 43.47%(LRGB5), and 44.22%(RGB5). All models were able to provide additional 13.40% of urban tree information on average when compared to the existing level 3 land cover map. Moreover, these urban green classification results are expected to be utilized in various urban green studies or decision making processes, as it provides detailed information on urban green space.

• Journal of Korean Philosophical Society
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• v.137
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• pp.57-79
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• 2016

The purpose of this paper is to explain MacIntyre's critique of moral pluralism of modern society and reveal the limits of his critique of liberalism. It is a distinctive feature of the social and cultural order that we inhabit that disagreements over central moral issues are peculiarly unsettleable. Debates concerned with the value of human life such as those over abortion and euthanasia, or about distributive justice and property rights, or about war and peace degenerate into confrontations of assertion and counter-assertion because the protagonists of rival positions invoke incommensurable forms of moral assertion against each other. We usually call this situation 'modern moral pluralism' and concede as the natural outcome of the activities of human reason under free institution. But in After Virtue, MacIntyre vigorously criticizes modern moral pluralism. The main cause he took which brought about this state of affairs was the failure of 'the Enlightenment project'. According to MacIntyre, the Enlightenment project which has dominated philosophy for the past three hundred years promised a conception of rationality independent of historical and social context, and independent of any specific understanding of man's nature or purpose. But not only has that promise in fact been unfulfilled, the project is itself fundamentally flawed and the promise could never be fulfilled. In consequence, modern moral and political thought are in a state of disarray from which they can be rescued only if we revert to an Aristotelian paradigm, with its essential commitment, and construct an account of practical reason premised on that commitment. But one of the deepest difficulties with the argument of After Virtue is that the very extent of its critique of the modern world seems to cast doubt on the possibility of any realistic revival under the conditions of modernity of the Aristotelianism which MacIntyre advocates. Especially when we consider we are not only the characters found in our narratives but also we ourselves are the author of our own narratives. Moral pluralism is not seen as disaster but rather as the natural outcome of the activities of human reason under enduring free institutions.

• Journal of Climate Change Research
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• v.2 no.4
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• pp.283-295
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• 2011

Many actions against climate change have been taken to reduce greenhouse gases (GHGs) emissions at home and abroad. As of 2007, the GHGs emitted from buildings accounted for about 23 % of Korea's total GHGs emission, which is the second largest GHG reduction potential following industry. In this study, we introduced Carbon Zero Building (CZB), which was constructed by the National Institute of Environmental Research to cut down GHGs from buildings in Korea, and evaluated the main applied technologies, the amount of energy load and reduced energy, and economic values for CZB to provide data that could be a basis in the future construction of this kind of carbon-neutral buildings. A total of 66 technologies were applied for this building in order to achieve carbon zero emissions. Applied technologies include 30 energy consumption reduction technologies, 18 energy efficiency technologies, and 5 eco-friendly technologies. Out of total annual energy load ($123.8kWh/m^2$), about 40% of energy load ($49kWh/m^2$) was reduced by using passive technologies such as super insulation and use of high efficiency equipments and the other 60% ($74.8kWh/m^2$) was reduced by using active technologies such as solar voltaic, solar thermal, and geothermal energy. The construction cost of CZB was 1.4 times higher than ordinary buildings. However, if active technologies are excluded, the construction cost is similar to that of ordinary buildings. It was estimated that we could save annually about 102 million won directly from energy saving and about 2.2 million won indirectly from additional saving by the reduction in GHGs and atmospheric pollutants. In terms of carbon, we could reduce 100 ton of $CO_2$ emissions per year. In our Life Cycle Cost (LCC) analysis, the Break Even Point (BEP) for the additional construction cost was estimated to be around 20.6 years.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.1
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• pp.139-149
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• 2019

The purpose of this study is to contribute to the minimization of the social cost due to the insolvency by improving the success rate of the startups by providing useful information to the founders and the start-up support institutions through analysis of non-financial information affecting the failure of the startups. This study is aimed at entrepreneurs. The entrepreneurs that are defined by the credit guarantee institutions generally refer to entrepreneurs within 5 years of establishment. The data used in the study are sampled from the companies that were supported by the start-up guarantee from January 2014 to December 2013 as the end of December 2017. The total number of sampled firms is 2,826, 2,267 companies (80.2%), and 559 non-performing companies (19.8%). The non-financial information of the entrepreneur was divided into the entrepreneur characteristics information, the entrepreneur characteristics information, the entrepreneur asset information and the entrepreneur 's credit information, and cross-tabulations and logistic regression analysis were conducted. As a result of cross-tabulations, univariate analysis showed that personal credit rating, presence in the industry, presence of residential housing, presence of employees, and presence of financial statements were selected as significant variables. As a result of the logistic regression analysis, three variables such as personal credit rating, occupation in the industry, and presence of residential house were found to be important factors affecting the failure of founding companies. This result shows the importance of entrepreneur 's personal credibility and experience and entrepreneur' s assets in business management. The start-up support institutions should reflect these results in the entrepreneur 's credit evaluation system, and the entrepreneurs need training on the importance of the personal credit and the management plan in the entrepreneurial education. The results of this analysis will contribute to the minimization of the incapacity of startups by providing useful non-financial information to founders and start-up support organizations.

• Journal of Nutrition and Health
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• v.52 no.5
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• pp.422-434
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• 2019

Purpose: The consumption of processed foods has recently been increasing due to changes in the living environment. The purpose of this study was to identify the contribution of processed food to the nutrient intake of adult Koreans. Methods: A total of 15,760 adult people in the $6^{th}$ National Health and Nutrition Examination Survey (2013 ~ 2015) were included in this study. According to the Korea Food and Drug Administration's classification criteria for processed foods, the 24 hour dietary recall data of the subjects were classified as processed food or natural food. The processed food intake, nutrient intake and major processed food sources by food groups were analyzed. Results: Men consumed more processed foods than did the women. Consumption of processed foods decreased with age, but it increased with the education level and the income level. The total daily processed food intake accounted for 68.1% of the total food intake. The food groups with high processed food intake were beverage, vegetables, cereals and grain products, fruits, and milk and dairy products in this order. The top food source of each food groups were beer, kimchi, bread, processed apple products, and milk. After adjusting for age, gender, and energy intake, all the nutrient intakes and percentage of dietary reference intakes for Koreans, except carbohydrates, were significantly higher in processed foods than in natural foods. The sodium intake from the processed food was 96.3% of total daily sodium intake. The intakes of nutrients from processed foods, excluding vitamins C, dietary fiber, iron, and vitamin A, were higher in men than in women. The intake of sodium from processed foods was highest for people of 30 ~ 49 years of age, and the intake of sodium from processed foods decreased for people over 50. Conclusion: Korean adults consumed more processed food than the natural food, consuming more calories and most of the nutrients from the processed food overall total daily intakes. The intake of processed foods is expected to further increase in the future, and nutritional education and research on the ingestion and selection of healthy processed foods are necessary.

• The Korean Journal of Nuclear Medicine Technology
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• v.23 no.2
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• pp.25-28
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• 2019

Purpose In patients with unusual kidney position after $^{99m}Tc-DTPA$ renal dynamic imaging study, the GFR(Glomerular Filtration Rate) values are significantly different according to the depth of the kidney. Thus, we tried to compare the difference of the GFR values between the depth measurement methods and in-vitro test. 30 adult patients who were subjected to renal study. 27 patients were in usual position and 3 patients were in unusual. $555{\pm}37MBq$ of $^{99m}Tc-DTPA$ was administrated to all patients. GE infinia gamma camera was used. GFR values were obtained in-vivo(gates method) and in-vitro(blood). The kidney depth in-vivo was calculated by three methods(tonnensen, manual, taylor). In-vitro, GFR was performed by blood test. Differences in the mean values of GFR and correlation between depth and GFR values were evaluated using the SPSS 12.0 statistical program. The GFR values for 27 patients with kidney in the usual position are as follows(1.tonnensen 2.manual 3.taylor 4.invitro); $69.3{\pm}4.2$, $88.2{\pm}5.6$, $77.8{\pm}4.3$, $82.2{\pm}5.8ml/min$. The three unusual cases are as follows, first(congenital renal anomaly): 66.4, 101.24, 69.07, 94.8 ml/min. second(transplantation kidney): 12.22, 29.99, 19.36, 23.5 ml/min. third(horseshoe kidney): 37.37, 93.54, 35.9, 92.5 ml/min. There was a difference between tonnensen and manual in the usual position of the kidney(p<0.05). There was no significant difference between the other methods. However, there was a significant difference in case of the unusual position of the kidneys. Correlation analysis between both kidney depth and GFR value shows person correlation as follows; Rt kidney: 0.298, Lt kidney: 0.322. When compared with the GFR values in-vitro test, it was useful to calculate the GFR value by measuring the kidney depth using a manual formula in the unusual position of the kidneys. GFR values and kidney depth were significantly related.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.127-137
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• 2019

Recidivism prediction has been a subject of constant research by experts since the early 1970s. But it has become more important as committed crimes by recidivist steadily increase. Especially, in the 1990s, after the US and Canada adopted the 'Recidivism Risk Assessment Report' as a decisive criterion during trial and parole screening, research on recidivism prediction became more active. And in the same period, empirical studies on 'Recidivism Factors' were started even at Korea. Even though most recidivism prediction studies have so far focused on factors of recidivism or the accuracy of recidivism prediction, it is important to minimize the prediction misclassification cost, because recidivism prediction has an asymmetric error cost structure. In general, the cost of misrecognizing people who do not cause recidivism to cause recidivism is lower than the cost of incorrectly classifying people who would cause recidivism. Because the former increases only the additional monitoring costs, while the latter increases the amount of social, and economic costs. Therefore, in this paper, we propose an XGBoost(eXtream Gradient Boosting; XGB) based recidivism prediction model considering asymmetric error cost. In the first step of the model, XGB, being recognized as high performance ensemble method in the field of data mining, was applied. And the results of XGB were compared with various prediction models such as LOGIT(logistic regression analysis), DT(decision trees), ANN(artificial neural networks), and SVM(support vector machines). In the next step, the threshold is optimized to minimize the total misclassification cost, which is the weighted average of FNE(False Negative Error) and FPE(False Positive Error). To verify the usefulness of the model, the model was applied to a real recidivism prediction dataset. As a result, it was confirmed that the XGB model not only showed better prediction accuracy than other prediction models but also reduced the cost of misclassification most effectively.

• (The)Study of the Eastern Classic
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• no.34
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• pp.207-224
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• 2009

This research is a quest of theories of poetry of Wang Yak-heo who was a literary critic during Chin(金) dynasty in ancient China. Wang Yak-heo left a fine piece of work, dubbed ${\ll}$Honam Yuro Jib${\gg}$ and, in this paper, the author closely reviewed the theories of poetry that is appeared, especially, in the three volumes of ${\ll}$Talks on Chinese Poetry${\gg}$ among the collections of Wang's poetry criticism. In particular, the author investigated the positive and negative aspects of Honam's commentaries on the works by Chinese poets, including his principles of poetics, creative skills, and practical criticism, etc. Wang Yak-heo has not been known much in the history of Chinese literary thoughts, however, his theory of criticism, especially, among the talks on Chinese the works by Chinese poets, his literature criticisms establish unique and distinctive point of views. Wang Yak-heo's poetics, more than anything else, valued nature, meanings, truth, and contents therein. He exhibited realistic view of literature. Meanwhile, he analyzed the methods of expression by Du Bo(杜甫, pronounced, "Du Fu" in Chinese), So Sik, also known as So Dong Pa (蘇軾, Su Shi or 蘇東坡, Su Dong Po in Chinese), and Hwang Jeong-gyeon(黃庭堅, Huang T'ing-chien), and highly evaluated the realistic poems written by Du Bo, Baek Geo-I (白居易, pronounced, "Bai Juyi" in Chinese), and So Sik. Also, he opposed to formalism or externality, however, he never made light of formality of poetry. In his comments on the works by Chinese poets, he highly evaluated the poems sung by So Sik and Beek Geo-I, in the mean time, however, he criticized their works without hesitation. Having set up his own unique criteria for critique, Wang didn't accept other opinions in a seemingly illogical manner, and he presented what he thoughts and other different points of view from others. Specifically, he attached great importance to whether or not modification of words and phrases, grammar, and whole context were congruent to one another and had been well harmonized. However, in his poetics, Wang was so wrapped himself in reasonableness or rationality, he analyzed each and every word in great detailed manner, as the result, he sometimes didn't read the sentiment or mood that the writers intended to express through poems. He excessively restricted himself to the words and phrases, so that he was not able to realize natural emotions and joy of imagination that were presented in the poems, and, in the end, this brought about adverse effects to the poet's thought.

• Journal of the Korean earth science society
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• v.43 no.1
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• pp.60-76
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• 2022

This study presents a software full setup and the following test execution times in a Linux cluster for the United Kingdom Earth System Model (UKESM) and then compares the model results from control and experimental simulations of the UKESM relative to various observations. Despite its low resolution, the latest version of the UKESM can simulate tropospheric chemistry-aerosol processes and the stratospheric ozone chemistry using the United Kingdom Chemistry and Aerosol (UKCA) module. The UKESM with UKCA (UKESM-UKCA) can treat atmospheric chemistryaerosol-cloud-radiation interactions throughout the whole atmosphere. In addition to the control UKESM run with the default CMIP5 SO₂ emission dataset, an experimental run was conducted to evaluate the aerosol effects on meteorology by changing atmospheric SO₂ loading with the newest REAS data over East Asia. The simulation period of the two model runs was 28 years, from January 1, 1982 to December 31, 2009. Spatial distributions of monthly mean aerosol optical depth, 2-m temperature, and precipitation intensity from model simulations and observations over East Asia were compared. The spatial patterns of surface temperature and precipitation from the two model simulations were generally in reasonable agreement with the observations. The simulated ozone concentration and total column ozone also agreed reasonably with the ERA5 reanalyzed one. Comparisons of spatial patterns and linear trends led to the conclusion that the model simulation with the newest SO₂ emission dataset over East Asia showed better temporal changes in temperature and precipitation over the western Pacific and inland China. Our results are in line with previous finding that SO₂ emissions over East Asia are an important factor for the atmospheric environment and climate change. This study confirms that the UKESM can be installed and operated in a Linux cluster-computing environment. Thus, researchers in various fields would have better access to the UKESM, which can handle the carbon cycle and atmospheric environment on Earth with interactions between the atmosphere, ocean, sea ice, and land.

• Journal of the Korean Society for information Management
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• v.39 no.2
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• pp.111-129
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• 2022

Insomnia is a chronic disease in modern society, with the number of new patients increasing by more than 20% in the last 5 years. Insomnia is a serious disease that requires diagnosis and treatment because the individual and social problems that occur when there is a lack of sleep are serious and the triggers of insomnia are complex. This study collected 5,699 data from 'insomnia', a community on 'Reddit', a social media that freely expresses opinions. Based on the International Classification of Sleep Disorders ICSD-3 standard and the guidelines with the help of experts, the insomnia corpus was constructed by tagging them as insomnia tendency documents and non-insomnia tendency documents. Five deep learning language models (BERT, RoBERTa, ALBERT, ELECTRA, XLNet) were trained using the constructed insomnia corpus as training data. As a result of performance evaluation, RoBERTa showed the highest performance with an accuracy of 81.33%. In order to in-depth analysis of insomnia social data, topic modeling was performed using the newly emerged BERTopic method by supplementing the weaknesses of LDA, which is widely used in the past. As a result of the analysis, 8 subject groups ('Negative emotions', 'Advice and help and gratitude', 'Insomnia-related diseases', 'Sleeping pills', 'Exercise and eating habits', 'Physical characteristics', 'Activity characteristics', 'Environmental characteristics') could be confirmed. Users expressed negative emotions and sought help and advice from the Reddit insomnia community. In addition, they mentioned diseases related to insomnia, shared discourse on the use of sleeping pills, and expressed interest in exercise and eating habits. As insomnia-related characteristics, we found physical characteristics such as breathing, pregnancy, and heart, active characteristics such as zombies, hypnic jerk, and groggy, and environmental characteristics such as sunlight, blankets, temperature, and naps.