• Economic and Environmental Geology
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• v.48 no.2
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• pp.177-185
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• 2015

The objective of this study is to evaluate landslide hazard susceptibility and produce the landslide hazard maps for soil slope using checklists as a preliminary investigation method. Tables, proposed by NDMI (National Disaster Management Institute), are applied for slope stability assessment, and are comprised of checklists on soil slopes. Database including engineering properties of soil is constructed through the field survey and results from previous studies for The Mt. Hwangryoeng area at center of Busan. All data related to creating the thematic maps was carried out using ArcGIS 10.0. Results from using this method indicated that soil slope are evaluated from very stable to stable. Moderate stability has been partially presented along the edge of mountain. Results from landslide hazard maps can be used to prevent damage from landslides and facilitate appropriate land use planning.

• Journal of the Korean earth science society
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• v.24 no.3
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• pp.141-149
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• 2003

This study investigated the effect of gender grouping on cooperative learning on the basis of student achievement and science-teaming attitude. Homogeneous and heterogeneous gender groupings were used in the treatment groups for the learning strategies of earth science. Traditional instruction was performed for the control group. Three classes at a middle school were assigned to the groups. Before the treatment instruction, a questionnaire about science-learning attitude was administered to 144 students, and their scores were utilized as covariate. Then, the same questionnaire was given with a test of science achievement designed in this study. The changes in both achievement and attitude among the three groups were analyzed statistically. Significant differences were not shown in science achievement or in the difference of gender with respect to perceptions about science. There were significant changes between the homogeneous and heterogeneous gender grouping in their attitudes toward science instruction. Here the cooperative learning group, regardless of the gender grouping, tends to exhibit more positive perceptions towards their learning environment than the control group, particularly in female students.

• Economic and Environmental Geology
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• v.52 no.2
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• pp.199-212
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• 2019

In the machine learning techniques, the sampling strategy of the training data affects a performance of the prediction model such as generalizing ability as well as prediction accuracy. Especially, in landslide susceptibility analysis, the data sampling procedure is the essential step for setting the training data because the number of non-landslide points is much bigger than the number of landslide points. However, the previous researches did not consider the various sampling methods for the training data. That is, the previous studies selected the training data randomly. Therefore, in this study the authors proposed several different sampling methods and assessed the effect of the sampling strategies of the training data in landslide susceptibility analysis. For that, total six different scenarios were set up based on the sampling strategies of landslide points and non-landslide points. Then Random Forest technique was trained on the basis of six different scenarios and the attribute importance for each input variable was evaluated. Subsequently, the landslide susceptibility maps were produced using the input variables and their attribute importances. In the analysis results, the AUC values of the landslide susceptibility maps, obtained from six different sampling strategies, showed high prediction rates, ranges from 70 % to 80 %. It means that the Random Forest technique shows appropriate predictive performance and the attribute importance for the input variables obtained from Random Forest can be used as the weight of landslide conditioning factors in the susceptibility analysis. In addition, the analysis results obtained using specific sampling strategies for training data show higher prediction accuracy than the analysis results using the previous random sampling method.

• Proceedings of the Korean Society for Information Management Conference
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• 2012.08a
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• pp.21-24
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• 2012

Information Commons는 정보환경, 이용자 요구 및 도서관 역할변화 등 전반적인 조직변화를 요구한다. 조직변화에 대해 구성원들은 필연적으로 저항태도를 가지게 되며 저항태도의 여러 요인 중에는 구성원이 소속된 조직 수준의 요인이 존재한다. IC를 도입하거나 미도입한 기관 사서들의 IC 인식수준과 조직의 지지부문의 유무에 따라 변화에 대한 태도 양상 차이와 조직 수준의 요인을 알아보고 저항태도의 조직적 관리를 통해 조직변화를 촉진할 수 있다.

• The Journal of the Korea Contents Association
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• v.20 no.10
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• pp.284-293
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• 2020

The rapid progress of AI technology gives us the expectation to solutions to various problems in our society, and at the same time, it gives us anxiety about the side effects that can occur if AI develops beyond human control. This study was conducted in the early 20s with less objection to advanced devices. We attempted to provide clues to understand thoughts and attitudes of the targets about the future environment that will be brought by AI through the process of finding intent the acceptance of strong AI technology. For this, we applied the Theory of Planned Behavior, and further expanded this research model to identify factors affecting the attitude toward AI. As a result, the attitude toward AI and perceived behavioral control had a significant effect on the intention to use to strong AI. In addition, we found that the expectation of the benefit of improving task performance and the anxiety on the threat of relationship disturbance had a significant effect on the attitude toward AI. This study suggests implications for AI-related companies establishing the direction of technology development and for government setting a policy direction for AI adoption.

• The Journal of the Korea Contents Association
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• v.18 no.1
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• pp.403-411
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• 2018

This study analyzes the attitude toward new products through case studies. The contents of the case study applied to the study were analyzed about the attitude of the new product to the recently screened movie "Sanguiwon(the royal tailor)". The court was an institution that oversees the clothes of the royal family in the Chosun Dynasty. In a conservative and closed market environment, attitudes toward acceptance of new products are strongly influenced by internal and external factors. Authoritative and conservative attitudes to secure competitive advantage in existing markets ultimately hamper the acceptance of new products or cause externalities. Eventually, innovative resistance to new products emerges. On the other hand, the acceptance of new products in an open market will form an attitude toward new products, once they form a respectful attitude towards their own benefit or attitude. These market leaders, depending on the way they pursue their values, form an attitude to adhere to their products or accept innovation. The validity of this study was verified through other cases. Ultimately, success in the market for new products suggests that success can only be achieved by understanding the delivery of value to consumers.

• Management & Information Systems Review
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• v.28 no.1
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• pp.99-124
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• 2009

This study has observed the influence of green advertisemen on the attitude of consumers in relation to its message effect. The analysis has been conducted in the perpective of awareness-emotion -behavior targeting housewives based on the message structure of the advertisement(conclusion omission type/ conclusion offer type). Results of the analysis are as follows : 1) Green advertisement was more effective for the attitude toward advertisement and products than non-green advertisement and in the case of high involvement the conclusion omission message was more effective than the conclusion offer message. 2) Green advertisement was more effective also for the emotion side than non-green advertisement and the conclusion omission message was found more effective than the conclusion offer message. 3) Green advertisement was found more effective for purchasing activities than non-green advertisement and the conclusion omission message was found more effective than the conclusion offer message in the case of high involvement. 4) In case of the conclusion offer type structure of green advertisement the awareness side influenced purchasing activities and in case of the conclusion omission type structure of green advertisement the emotion side influenced purchasing activities. Besides that in case of the conclusion offer type structure of non-green advertisement both the awareness and emotion sides were found to influence purchasing activities. No difference was found in the conclusion omission type structure of non-green advertisement.

• Economic and Environmental Geology
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• v.43 no.4
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• pp.381-391
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• 2010

Probabilistic prediction methods of landslides which have been developed in recent can be reliable with premise of detailed survey and analysis based on deep and special knowledge. However, landslide susceptibility should also be analyzed with some reliable and simple methods by various people such as government officials and engineering geologists who do not have deep statistical knowledge at the moment of hazards. Therefore, this study suggests an evaluation chart of landslide susceptibility with high reliability drawn by accurate statistical approaches, which the chart can be understood easily and utilized for both specialists and non-specialists. The evaluation chart was developed by a quantification method based on canonical correlation analysis using the data of geology, topography, and soil property of landslides in Korea. This study analyzed field data and laboratory test results and determined influential factors and rating values of each factor. The quantification analysis result shows that slope angle has the highest significance among the factors and elevation, permeability coefficient, porosity, lithology, and dry density are important in descending order. Based on the score assigned to each evaluation factor, an evaluation chart of landslide susceptibility was developed with rating values in each class of a factor. It is possible for an analyst to identify susceptibility degree of a landslide by checking each property of an evaluation factor and calculating sum of the rating values. This result can also be used to draw landslide susceptibility maps based on GIS techniques.

• The Journal of the Acoustical Society of Korea
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• v.36 no.1
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• pp.12-22
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• 2017

It is important to predict accurately reverberation level, which is a limiting factor in underwater target detection. Recently, the studies have been expanded from monostatic sonar to bistatic sonar in which source and receivers are separated. To simulate the bistatic reverberation level, the computation processes for propagation, scattering strength, and scattering cross section are different from those in monostatic case and more complex computation processes are required. Although there have been many researches for bistatic reverberation, few studies have assessed the bistatic scattering cross section which is a key factor in simulate reverberation level. In this paper, a new method to estimate the bistatic scattering cross section is suggested, which uses the area of intersection between two circles. Finally, the reverberation levels simulated with the scattering cross section estimated using the method suggested in this paper are compared with those estimated using the methods previously suggested and those measured from an acoustic measurements conducted in May 2013.

• Economic and Environmental Geology
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• v.45 no.6
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• pp.697-707
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• 2012

The quantitative landslide susceptibility assessment methods can be divided into statistical approaches and geomechanical approaches based on the consideration of the triggering factors and landslide models. The geomechanical approach is considered as one of the most effective approaches since this approach proposes physical slope model and considers geomorphological and geomechanical properties of slope materials. Therefore, the geomechanical approaches has been used widely in landslide susceptibility analysis using the infinite slope model as physical slope model. However, the previous studies assumed constant groundwater level for broad study area without the consideration of rainfall intensity and hydraulic properties of soil materials. Therefore, in this study, landslide susceptibility assessment was implemented using the coupled infinite slope model with hydrologic model. For the analysis, geomechanical and hydrualic properties of slope materials and rainfall intensity were measured from the soil samples which were obtained from field investigation. For the practical application, the proposed approach was applied to Jinbu area, Gangwon-Do which was experienced large amount of landslides in July 2006. In order to compare to the proposed approach, the previous approach was used to analyze the landslide susceptibility using randomly selected groundwater level. Comparison of the results shows that the accuracy of the proposed method was improved with the consideration of the hydrologic model.