• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.36 no.2
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• pp.59-66
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• 2018

This study examined the correlation among topography, forest type, soil and geology in Inje area where landslides occurred during heavy rainfall from July 11 to July 18, 2006 to assess the landslide susceptibility. In order to assess the susceptibility of future landslides, landslides occurred in Inje area were classified into slide type and flow type, and slope angle, aspect, curvature, ridge and valley were extracted from the area. The landslide susceptibility was assessed by applying diameter class, age class, density, and forest type to Bayesianbased LR (Logistic Regression) model and WOE (Weight of Evidence) model, and the fitness of modeling was verified by predict rate curve. As the results of susceptibility assessment, using all landslides without no distintion, it was found that 75% of the LR model and 73% of the WOE model were fit in terms of the top 20% of the landslides. According to slide type and flow type in the top 20% of the landslides, it was found that 71% of the LR model and 69% of the WOE model were fit in terms of the slide type. Whereas, it was found that 86% of the LR model and 82% of the WOE model were fit in terms of the flow type. That is, the results of the LR model showed higher fitness than the results of the WOE model, and the fitness of the flow type was higher than that of the slide type. Consequently, it suggests that it is reasonable to assess and verify the landslide susceptibility according to the types of landslides.

• Journal of Digital Contents Society
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• v.13 no.1
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• pp.67-74
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• 2012

Students with learning disabilities need special education programs. In the traditional class, those students may not be satisfied with their studies. Thus, it is important to provide individualized class for those students. Classes using smart devices may give one of the solutions for individualized class. Unlike the typical mathematical problems, written problems require students to use various cognitive strategies, mathematical reasoning, inference ability, and so on. In this sense, written problems are good tools to develop the logical minds for students with learning disabilities. In this paper, a WOE-based smart learning system is proposed to help those students develop learning abilities. The proposed system has the following characteristics. First, students can learn naturally problem-solving abilities by following the work-out examples given from experts. Second, the proposed system can invoke motivation and interests of students using attractive icons and guidance rules provided with smart phone. Third, the proposed system can provide self-directed study for those students. The proposed system is applied for some students with learning disabilities. The following results are obtained. First, the individualized study can be possible since the system can provide continuous feedbacks and level-differentiated classes. Second, students can increase written problem solving abilities with natural understanding of study contents from smart phone. Finally, satisfaction, study motivation, and self-concept of students are increased through their successful experience during study processes.

• Korean Journal of Remote Sensing
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• v.35 no.2
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• pp.299-316
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• 2019

The purpose of this study was to analyze landslide susceptibility in the Pyeongchang area using Weight of Evidence (WOE) and Evidential Belief Function (EBF) as probability models and Artificial Neural Networks (ANN) as a machine learning model in a geographic information system (GIS). This study examined the widespread shallow landslides triggered by heavy rainfall during Typhoon Ewiniar in 2006, which caused serious property damage and significant loss of life. For the landslide susceptibility mapping, 3,955 landslide occurrences were detected using aerial photographs, and environmental spatial data such as terrain, geology, soil, forest, and land use were collected and constructed in a spatial database. Seventeen factors that could affect landsliding were extracted from the spatial database. All landslides were randomly separated into two datasets, a training set (50%) and validation set (50%), to establish and validate the EBF, WOE, and ANN models. According to the validation results of the area under the curve (AUC) method, the accuracy was 74.73%, 75.03%, and 70.87% for WOE, EBF, and ANN, respectively. The EBF model had the highest accuracy. However, all models had predictive accuracy exceeding 70%, the level that is effective for landslide susceptibility mapping. These models can be applied to predict landslide susceptibility in an area where landslides have not occurred previously based on the relationships between landslide and environmental factors. This susceptibility map can help reduce landslide risk, provide guidance for policy and land use development, and save time and expense for landslide hazard prevention. In the future, more generalized models should be developed by applying landslide susceptibility mapping in various areas.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2011.05a
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• pp.81-82
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• 2011

This paper is to compare and analyze WOE created by emulsifying waste oil & WOES added by stimulant with the existing SR in order to solve the problem of strength and reduction in fluidity occurring in time of the use of waste oil to reduce the autogenous shrinkage of high strength mortar. As experimental results, in case of WOE, there almost never happened a drop in fluidity at 1% replacement and compressive strength also showed the strength value similar to Plain. On the other hand, the effect of strength improvement consequent upon the use of stimulant was found to be insufficient. The change of autogenous shrinkage generally showed a better reduction effect in shrinkage comparing to Plain. In case of WOE1, reduction effect in autogenous shrinkage was found to be more excellent than the existing SR. Accordingly, WOE1 is analyzed to be desirable if reduction in autogenous shrinkage, strength & up to the aspect of fluidity are taken into consideration.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.430-433
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• 2005

In this study, weight of evidence(WOE) technique based on the bayesian method was applied to estimate the groundwater yield characteristics in the Pocheon area in Kyungki-do. The ground water preservation depends on many hydrogeologic factors that include hydrologic data, landuse data, topographic data, geological map and other natural materials, even with man-made things. All these data can be digitally collected and managed by GIS database. In the applied technique of WOE, The prior probabilities were estimated as the factors that affect the yield on lineament, geology, drainage pattern or river system density, landuse and soil. We calculated the value of the Weight W+, W- of each factor and estimated the contrast value of it. Results by the ground water yield characteristic calculations were presented in the form of posterior probability map to the consideration of in-situ samples. It is concluded that this technique is regarded as one of the effective technique for the feasibility mapping related to detection of groundwater bearing zones and its spatial pattern.

• Proceedings of the KIEE Conference
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• 2002.07a
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• pp.521-523
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• 2002

• Proceedings of the SAREK Conference
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• 2003.07a
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• pp.244-244
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• 2003

• Journal of Haehwa Medicine
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• v.10 no.1
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• pp.259-268
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• 2001

As mentioned above, I have acquired some valuable results about medical treatments with acupuncture for "Trigeminal neuralgia" after studying oriental medical books. 1. The course of medical treatments with acupuncture was, first of all, applying general ones, and then, assisting ones based on occuring area of pain and the cause. 2. For general treatments, "Chok-yangmyong-Wi-Kyong", distributed widely on the face, was used in great numbers. The order, according to the number of using times, of spots for acupuncture was Ha-kwan(11 times), Hap-kok(10), Chan-juk(7), Hyop-geo, Tae-yang, Sa-baek(individually 6). 3. For assisting treaments based on occuring area of the pain, spots of the Kyong-rak, passing through occuring area of the pain, and Kyong-woe-ki-hyol were used in great numbers. 4. The order was O-je, Chan-juk, Yang-baek(individually 8), Tae-yang(5) for the pain of first branch of the trigeminal nerve; Sa-baek(12), Kwan-ryo(6), Go-ryo(5) for the pain of second one; and Hyop-geo, Ha-kwan(individually 6), Dae-young, Hyop-seung-jang(individually 5). Seung-jang(4). 5. For assisting treatments based on the cause, "One-hyol(原穴)", "Rak-hyol(絡穴)" and "5-soohyol(五輸穴)" were used in great numbers. 6. The order was Pung-ji(10), Hap-kok(9), Woe-kwan(5) for "Woe-Kam(外感)"; Nae-jong(12), Tae-chung(10), Chok-sam-ri(7) for "Kan-Wi-Hwa-Seung(肝胃火升)"; Tae-gue(7), Sam-um-kyo, Pung-ji(individually 2) for "Ho-Hwa-Sang-Seung(虛火上升)"; Pung-ryung(4) for "Pung Dam-Jo-R ak (風痰阻絡)"; Kyok-su(2) for "Ki-Che-Hyol-Ho(氣滯血虛)".

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2003.04a
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• pp.93-100
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• 2003

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2003.10a
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• pp.3-8
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• 2003