• (The)Study of the Eastern Classic
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• no.68
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• pp.237-281
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• 2017

This research aimed at investigating Kim Gyoshin's recognition on Korean traditional ideology and harmony of Christian idea and traditional idea through the writing and diary in "Bible Joseon". Kim Gyoshin expressed positive interest in Korean traditional idea and traditional religion, and intended to localize Christian belief through communicating with them. He expressed infinite respect for national cultural asset of Buddhism, intending to research Korean Buddhism. He paid utmost attention to Confucianism among traditional ideas. He had a strong affection for learning(好學), benevolence(仁義), conscience(良心) of Confucianism as patriotic character. He calmly practiced caution and solitary(愼獨) of sincere(誠), solemnity(敬) of Confucianism through his life, however he chose Christian belief by accepting atonement belief realizing human sinful nature fundamentally inherent in human being. He personally respected Confucius and lived after the model of him, however he searched the spirit of life to renew the people from Christianity. Academically, he respected Confucius, and believed in Jesus in religion. He highly evaluated the attitude of patriot(志士), which highly regarded the academic attitude of learning(好學) and benevolence(仁義), in this regard, criticized blind and non-intellectual belief. He had an open attitude toward Korean traditional idea with no prejudice. As human individuals have their own inherent moral value, he viewed that each people would have their inherent ethnicity and mission. He considered that Korean Peninsula where contradiction and yoke of the world history are inherent is the center of East Asia that would purify injustice of the world. He viewed that Korean people had owned their original good heart[仁] even before Buddhism and Confucianism had been transmitted to the country. He determined that Korean people were good people, who received goodness from the heaven. However, while Uchimura created Japanese style Christianity by adapting Japanese knighthood to Christian idea, Kim Gyoshin lacked sharp critical mind regarding how to establish Korean style Christianity by adapting which of Korean traditional idea to Christian idea.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.5
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• pp.367-380
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• 2022

In this study, the periodic and simplified update and production way of the ECVAM (Environmental Conservation Value Assessment Map) was presented through the classification of environmental values using KOMPSAT-3A satellite imagery and land cover map. ECVAM is a map that evaluates the environmental value of the country in five stages based on 62 legal evaluation items and 8 environmental and ecological evaluation items, and is provided on two scales: 1:25000 and 1:5000. However, the 1:5000 scale environmental assessment map is being produced and serviced with a slow renewal cycle of one year due to various constraints such as the absence of reference materials and different production years. Therefore, in this study, one of the deep learning techniques, KOMPSAT-3A satellite image, SI (Spectral Indices), and land cover map were used to conduct this study to confirm the possibility of establishing an environmental assessment map. As a result, the accuracy was calculated to be 87.25% and 85.88%, respectively. Through the results of the study, it was possible to confirm the possibility of constructing an environmental assessment map using satellite imagery, optical index, and land cover classification.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.5
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• pp.449-456
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• 2022

This study proposes a deep learning algorithm to predict crop yield using GIS (Geographic Information System) to extract soil properties from Soilgrids and soil suitability class maps. The proposed model modified the structure of a published CNN-RNN (Convolutional Neural Network-Recurrent Neural Network) based crop yield prediction model suitable for the domestic crop environment. The existing model has two characteristics. The first is that it replaces the original yield with the average yield of the year, and the second is that it trains the data of the predicted year. The new model uses the original field value to ensure accuracy, and the network structure has been improved so that it can train only with data prior to the year to be predicted. The proposed model predicted the yield per unit area of autumn cabbage for kimchi by region based on weather, soil, soil suitability classes, and yield data from 1980 to 2020. As a result of computing and predicting data for each of the four years from 2018 to 2021, the error amount for the test data set was about 10%, enabling accurate yield prediction, especially in regions with a large proportion of total yield. In addition, both the proposed model and the existing model show that the error gradually decreases as the number of years of training data increases, resulting in improved general-purpose performance as the number of training data increases.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.79-101
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• 2023

The current status of local road pavement management in Jeollabuk-do only relies on the accomplishments of the site construction company's pavement repair and is only managed through Microsoft Excel and word documents. Furthermore, the budget is irregular each year. Accordingly, a systematic maintenance plan for local roads is necessary. In this paper, data related to road damage and road environment were collected and processed to derive possible areas which could suffer from road damage. The effectiveness of the methodology was reviewed through the on-site inspection of the area. According to the Ministry of Land, Infrastructure and Transport, in 2018, the number of damages on general national roads were about 47,000. In 2019, it reached around 38,000. Furthermore, the number of lawsuits regarding the road damages were about 93 in 2018 and it increased to 119 in 2019. In the case of national roads, the number of damages decreased compared to 2018 due to pavement repairs. To measure the priorities in maintenance of local roads at Jeollabuk-do, data on maintenance history, local port hole occurrence site, overlapping business section, and emergency maintenance section were transformed into data. Eventually, it led to improvements in maintenance of local roads. Furthermore, spatial data were constructed using various current status data related to roads, and finally the data was processed into a new form that could be utilized in machine learning and predictions. Using the spatial data, areas requiring maintenance on pavement were predicted and the results were used to establish new budgets and policies on road management.

• Journal of Intelligence and Information Systems
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• v.24 no.4
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• pp.137-154
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• 2018

Animal infectious diseases, such as avian influenza and foot and mouth disease, occur almost every year and cause huge economic and social damage to the country. In order to prevent this, the anti-quarantine authorities have tried various human and material endeavors, but the infectious diseases have continued to occur. Avian influenza is known to be developed in 1878 and it rose as a national issue due to its high lethality. Food and mouth disease is considered as most critical animal infectious disease internationally. In a nation where this disease has not been spread, food and mouth disease is recognized as economic disease or political disease because it restricts international trade by making it complex to import processed and non-processed live stock, and also quarantine is costly. In a society where whole nation is connected by zone of life, there is no way to prevent the spread of infectious disease fully. Hence, there is a need to be aware of occurrence of the disease and to take action before it is distributed. Epidemiological investigation on definite diagnosis target is implemented and measures are taken to prevent the spread of disease according to the investigation results, simultaneously with the confirmation of both human infectious disease and animal infectious disease. The foundation of epidemiological investigation is figuring out to where one has been, and whom he or she has met. In a data perspective, this can be defined as an action taken to predict the cause of disease outbreak, outbreak location, and future infection, by collecting and analyzing geographic data and relation data. Recently, an attempt has been made to develop a prediction model of infectious disease by using Big Data and deep learning technology, but there is no active research on model building studies and case reports. KT and the Ministry of Science and ICT have been carrying out big data projects since 2014 as part of national R &D projects to analyze and predict the route of livestock related vehicles. To prevent animal infectious diseases, the researchers first developed a prediction model based on a regression analysis using vehicle movement data. After that, more accurate prediction model was constructed using machine learning algorithms such as Logistic Regression, Lasso, Support Vector Machine and Random Forest. In particular, the prediction model for 2017 added the risk of diffusion to the facilities, and the performance of the model was improved by considering the hyper-parameters of the modeling in various ways. Confusion Matrix and ROC Curve show that the model constructed in 2017 is superior to the machine learning model. The difference between the2016 model and the 2017 model is that visiting information on facilities such as feed factory and slaughter house, and information on bird livestock, which was limited to chicken and duck but now expanded to goose and quail, has been used for analysis in the later model. In addition, an explanation of the results was added to help the authorities in making decisions and to establish a basis for persuading stakeholders in 2017. This study reports an animal infectious disease prevention system which is constructed on the basis of hazardous vehicle movement, farm and environment Big Data. The significance of this study is that it describes the evolution process of the prediction model using Big Data which is used in the field and the model is expected to be more complete if the form of viruses is put into consideration. This will contribute to data utilization and analysis model development in related field. In addition, we expect that the system constructed in this study will provide more preventive and effective prevention.

• Journal of the Korean Association of Geographic Information Studies
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• v.27 no.2
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• pp.78-95
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• 2024

For the establishment and comparison of environmental plans across various domains, considering climate change and urban issues, it is crucial to build spatial data at the regional scale classified with consistent criteria. This study mapping the Local Climate Zone (LCZ) of Changwon City, where active climate and environmental research is being conducted, using the protocol suggested by the World Urban Database and Access Portal Tools (WUDAPT). Additionally, to address the fragmentation issue where some grids are classified with different climate characteristics despite being in regions with homogeneous climate traits, a filtering technique was applied, and the LCZ classification characteristics were compared according to the filtering radius. Using satellite images, ground reference data, and the supervised classification machine learning technique Random Forest, classification maps without filtering and with filtering radii of 1, 2, and 3 were produced, and their accuracies were compared. Furthermore, to compare the LCZ classification characteristics according to building types in urban areas, an urban form index used in GIS-based classification methodology was created and compared with the ranges suggested in previous studies. As a result, the overall accuracy was highest when the filtering radius was 1. When comparing the urban form index, the differences between LCZ types were minimal, and most satisfied the ranges of previous studies. However, the study identified a limitation in reflecting the height information of buildings, and it is believed that adding data to complement this would yield results with higher accuracy. The findings of this study can be used as reference material for creating fundamental spatial data for environmental research related to urban climates in South Korea.

• Journal of the Korean Geographical Society
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• v.47 no.3
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• pp.440-458
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• 2012

This study analyzed the ignorance and prejudice with regard to African culture, which can be seen at the textbook and class course centering the geography class from 1990's to the present, and reviewed critically the related education and learning effects for mutual understanding. This study results are as follows: First, in the geographic environment contents, the image regarding huge continent, the local image regarding the various physical environments and the geographical importance as the ancient civilization birthplace were not included in the description. Second, the description regarding the African culture and history was focused to the singular African image, so the fixed concept and distorted image has been rooted into the formation of cultural meta-knowledge. Third, the negative sides rather than positive development and the past backward facts rather than changed status have been emphasized in the description regarding African resources and industry as well, so only the region surrounded with the various problems including poverty and the image as underdeveloped country have been rooted into the description. Now, real Africa view, an image for a variety of attractive and vibrant Africa rather than the same culture and characteristics of African must be learned in text books.

• Acta Via Serica
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• v.1 no.1
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• pp.95-104
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• 2016

The Silk Route in ancient times served as a link between the World's greatest civilizations and as a source of knowledge, art, religion and philosophy. This network of ancient caravan paths formed the first bridge between East and West, where two different civilizations came in contact with their respective cultural traditions and religious beliefs, as well as their scientific and technological achievements. One of the main routes of the Great Silk Route passed through the Karakoram, linking Kashgar with Kashmir and the Gandhara regions. The Karakoram Highway connects the Chinese province with Pakistan and follows the ancient Silk Route, which connected the Heartlands of Asia with the Western fringes and further beyond the entire continent of Europe. Evidences of the history of humankind, ranging from Pre-historic times to the spread of Buddhism from South Asia to China and the Far East, is depicted in the rocky cliffs on the waysides and on rough boulders scattered in the upper valley of the Indus River and its tributaries. The ancient trade routes also carried scholars, teachers, missionaries and monks of different beliefs and practices, who met and exchanged ideas. The Buddhists as well as Zoroastrians and other missionaries all followed the Silk Route, leaving permanent footprints of their passage. The ancient greater Gandhara is situated in the North-West of the Indian Sub-continent, with the steep mountain ranges of the Karakoram, the Pamir and the Hindu-Kush bordering it and the dry areas of Central Asia to its rear. A number of races from Central Asia migrated to Gandhara because of its mild climate and plentiful farm products and fruits. This area was an entry point of Western Culture into India and at the same times the exit point of Indian Culture, including Buddhism, to the West. In Gandhara, the diffusion of different cultures developed an art form, during the 1-7th centuries CE commonly known after its geographic name as "Gandhara Art". The Buddhism's route of introduction into China originated in Gandhara, then reached in Korea and Japan and other countries. The fame of Gandhara however, rested on its capital, "Taxila" which was a great centre of learning. From the time of the Achaemenians, down through Muslim period, Gandhara continued to establish and maintain a link between East & West, as shown by material evidences recovered from Taxila and other Buddhist centres of Gandhara during the course of archaeological excavations.

• Journal of the Korean Geographical Society
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• v.32 no.1
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• pp.113-124
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• 1997

The purpose of this article is to analyze some problems of the present curriculum of social studies education and develop a newer hierarchical curriculum system for the 7th Curriculum Reformation in the primary and secondary school of Korea. Most of the major problems of social studies education come from the mixture of different subject matters without reasonable education logic. Most of teachers feel some difficulties in teaching the social studies for the lack of other subject knowledges. For the better teaching, it is needed to control the integrating level according to the learner's intellectual ability from the elementary school to high school. So, it is necessary to enhance students' thinking skills by their own ability of restructuring knowledges from all subject matters in more advanced curriculum. Also, it is required to develop a new hierarchical system of curriculum concerning the geographical view of the world. Students can have many kinds of geographical view points if teachers can well organize learning activities logically for the students to enhance their understanding of geography by adjusting scale of regional unit, geographical theme, and resolution level of interpretation. And then, in the elementary school curriculum, the students are required to understand the spatial variation of places, and various environments in the world, scale. In the junior high school, students have to understand the relationship between man and nature in the context of large scale environments. The high school curriculum needs to be focused on the student's understanding of the spatial contexts of places by theoretical application in the smaller scale region different from elementary and junior high school curriculums.

• Journal of the Korean association of regional geographers
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• v.7 no.1
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• pp.51-66
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• 2001

The curriculum of integrated social studies is not conceptually established, but various forms pursuing so-called perfect integrated subject have appeared from elementary school to high school. But we cannot find out desirable integration in the elementary school though the apparent goal is to integrate all kinds of social concepts into one unit. The current method of integration has some problems over advantages people initially expected by integration. It is problematic in that students learn fragmental knowledges of geography without capturing the whole geographical concept structure or obtaining their own geographical viewpoint. Therefore, we purpose to reinterpret integration of social studies and reorganize the current textbook into the right direction under the assumption that simple mixture of knowledges is far from our goal of true integration. For this purpose, we suggest a new method for social studies as an integrated subject. Instead of providing knowledges unrelated to each other into one bundle, it helps students to see the real world in his own knowledge framework equipped with geographical viewpoint. The text we claim will show students that geography consists of three key concepts: physical environment, man and environment, and spatial structure. With this text, they will have an easy access to the relationships between key concepts and details, and between geographical concepts and similar concepts from other disciplines. The proposal contributes to both upcoming textbook development and classroom teaching by eliminating problems in the current social studies teaching.