• The Journal of Engineering Geology
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• v.30 no.3
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• pp.315-325
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• 2020

This study was performed to develop a model to predict landslides and determine the variable importance of landslides susceptibility factors based on the probabilistic prediction of landslides occurring on slopes along the road. Field survey data of 30,615 slopes from 2007 to 2020 in Korea were analyzed to develop a landslide prediction model. Of the total 131 variable factors, 17 topographic factors and 114 geological factors (including 89 bedrocks) were used to predict landslides. Automated machine learning (AutoML) was used to classify landslides and non-landslides. The verification results revealed that the best model, an extremely randomized tree (XRT) with excellent predictive performance, yielded 83.977% of prediction rates on test data. As a result of the analysis to determine the variable importance of the landslide susceptibility factors, it was composed of 10 topographic factors and 9 geological factors, which was presented as a percentage for each factor. This model was evaluated probabilistically and quantitatively for the likelihood of landslide occurrence by deriving the ranking of variable importance using only on-site survey data. It is considered that this model can provide a reliable basis for slope safety assessment through field surveys to decision-makers in the future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.1
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• pp.194-201
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• 2017

This study was conducted to determine the valid time for accurate detection of complete blood cell count (CBC) in pig blood using an automatic blood corpuscle analyzer (Hemavet 950FS). Blood samples were collected from 34 pigs (Duroc) with a 60 kg (${\pm}3.5$) body weight. Ten specimens with CBC parameters in normal range and with no hemolysis were selected among 34 samples and used in this study. Regarding leukocytes parameters, white blood cell (WBC), neutrophil (NE), and lymphocyte (LY) counts showed a low daily variation (coefficient of variation, CV), whereas monocyte (MO), eosinophil (EO), and basophil (BA) CVs were significantly high (19.7, 56.9, and 53.3%, respectively). On the other hand, all parameters of erythrocytes and thrombocytes showed stable daily variation. All parameters of leukocytes and thrombocytes were significantly reduced as storage time passed (P<0.01 or 0.001), except for lymphocytes (P=0.535). However, no significant differences were observed in parameters of erythrocytes from blood up to 120 hours. From above results, we assert that Hemavet 950FS is useful in analyzing CBC, except for MO, EO, and BA. For accurate detection of leukocyte and thrombocyte parameters, analysis should be performed within 4 hours after blood collection when using Hemavet 950FS. On the other hand, parameters of erythrocytes could be stably detected for at least 120 hours after blood collection.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.7
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• pp.434-441
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• 2016

Friction Stir Welding (FSW) is a solid-state joining process involving the frictional heat between the materials and tools. The amount of heat conducted into the workpiece determines the quality of the welded zone. Excessive heat input is the cause of oxides and porosity defects, and insufficient heat input can cause problems, such as tunnel defects. Therefore, analyzing the temperature history and distribution at the center of the Friction Stir Welded zone is very important. In this study, the temperature distribution of the friction stir welding region of an AZ61 magnesium alloy was investigated. To achieve this goal, the temperature and metal flow was predicted using the finite element method. In FE analysis, the welding tool was simplified and the friction condition was optimized. Moreover, the temperature measuring test at the center of the welding region was performed to verify the FE results. In this study, the tool rotation speed was a more dominant factor than the welding speed. In addition, the predicted temperature at the center of the welding region showed good agreement with the measurement results within the error range of 5.4% - 7.7%.

• Journal of Intelligence and Information Systems
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• v.15 no.4
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• pp.79-98
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• 2009

Web traffic is becoming an important indicator to make inferences about internet companies' future prospects so that traditional firm valuation methods need to be modified to integrate the ideas of web traffic information as a major asset of internet companies. It is because web traffic is a measure of attracting visitors to firm's web site and is the basis for internet companies' marketing expenditure and customer acquisition and retention. Also the web traffic represents the internet companies' technological advances and marketability. The major purpose of this study is to show the relevance of web traffic for valuation of internet companies. For this, we test hypothesis with the firm's web traffic and financial data using the analysis model of Hand(2000a) derived from the log-linear model introduced by Ye and Finn(1999). Test results show that the web traffic, more specifically the number of unique visitors, visits, and page views are all positively related to the firm's value. This implies that the web traffic information should be considered as one of the important non-financial indicator for the internet firm valuation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.155-167
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• 2016

Technology valuation is necessary for determining the feasibility of technology commercialization. However, existing methods focus only on technology evaluation, with limitation in sufficiently reflecting buyer viewpoint. In addition, it causes a gap between estimated value and market value. Therefore, this research suggests a new technology valuation method which focuses on the perspectives of buyers. Technology factors, buyer factors and market factors are first determined and their relationships are analyzed. Second, based on the relationships, profit projections are calculated using the discount cash flow method. Finally, profit projections for each year are discounted. The proposed method was applied using the ubiquitous home network system and audio service and illumination control method and results compared with the value of a technology valuation guide distributed by the Ministry of Trade, Industry and Energy. The technology valuation approach used in this research is quantitative and systematic and can be used as a decision making support tool in technology transfer, reflecting various perspectives of stakeholders.

• Journal of Sasang Constitutional Medicine
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• v.12 no.1
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• pp.63-83
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• 2000

The common concerns of leadership approaches were focused on finding leadership factors or necessity of leadership change to proper leadership styles adapt to contingent change through observing various leaders' behaviors for improving organizational effectiveness. Basically, they assumed that the human could be adapt to any conditions regardless of his inherent characters though it is perceived generally that human beings have different attitudes and behaviors toward the same fact, condition, situation, etc. In other words, inherent factors that cause individual differences have been neglected but concerned only about postnatal environments which influence human characters in previous leadership studies. A number of studies concerning inherent human characters have been worked in Asia for the past thousands years, which enable answering to the questions; why the human beings have different characters and personalities, and how to manage them in the given life conditions. In this research, four type human theory(called Sasang Theory) which has already been widely used in medical field in Korea will be introduced and applied to leadership theory to indicate inherent causal factors of the human character that are expected to influence leadership styles. In process, two different methods, one is for leadership theory and the other is for Sasang theory, have to be considered to match the different ideas. The theory is so predictable that the result implies possibilities of further future researches in the organizational fields by presupposing human behavior.

• Journal of Korea Water Resources Association
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• v.49 no.11
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• pp.903-912
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• 2016

Accurate understanding and estimating Evapotranspiration (ET) is essential for understanding the mechanism of water cycle and water budget. ET has been analyzed by many researchers in worldwide while Ground-based ET has limiation in analyzing the spatio-temporal pattrens of ET. Thus, many researches have been conducted to represent the spatio-temporal variation of ET by using hydrometeorological variables estimated from remote sensing datasets. Previous remote sensing based ET algorithms, however, have disadvantage in that various hydrometeological input datasets were required. In this study, actual ET was estimated by MODIS-based Rn and MS-PT algorithm requiring relatively less input data than previous method. The result confirmed that the observed $R_N$ and latent heat flux from the eddy-covariance based fluxtowers located at CFK and SMK showed high correlation with the estimated $R_N$ and ET. The average determination coefficients ($R^2$) of ET estimated from satellite dataset over study periods were 0.77 (0.72-0.81) in Cheongmi (CFK) and 0.70 (0.67-0.78) in Sulma (SMK), respectively. Comparing with the actual ET of two flux tower sites, however, SMK showed more overestimated patterns than CFK due to the vegetation and radiation related errors.

• Korean journal of communication and information
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• v.37
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• pp.342-376
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• 2007

This study attempted to explore relationship between self-identities in real space and in virtual space and to inspect empirically both self-identities' influence on addiction and society maladaptation of online role playing game users. The verified results through this study are summarized as follows. First, both self-identity in real space and self-identity in virtual space represent strong interrelationship. In detail, the user with strong self-identity in real space shows strong self-identity in virtual space. Second, self-identities in two spaces have the negative interrelationship with game addiction and maladaptation. Whether real space or virtual space, the higher self-identity, the lower the levels of game addiction and maladaptation. Especially, self-identity in real space appeared an influential variable determining the level of addiction and maladaptation. Although self-identity in virtual space have not an independent influence, it has the possibility to effect complementary with self-identity in real space. This fact means that virtual space is not the place where the user with weak self-identity in real space can discovers the ideal self. Because they also experience the negative recognition about oneself in virtual space.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.27 no.5
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• pp.421-427
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• 2014

Most of the structure of the real world is influenced under dynamic loads. However, when structure analysis and the structural optimization is performed, it is assumed that the static load acts on structure. When considering the actual load of dynamic loads in order to take into account a variety of loads, computational resources and time becomes a big burden in terms of cost. However, considering only the simple static load condition is not preferable for structural safety. For this reason, a lot of studies have been conducted trying to compensate this trouble by applying weight factor or replacing dynamic load with the equivalent static load. In this study, structural optimization techniques for structures under dynamic loads is proposed by applying the equivalent static load. From previous study, after determining the positions of equivalent static load based on primary degrees of freedom, the equivalent static load is calculated through the optimization process. In this process, the equivalent static load optimization of previous research is complemented by adding constraints to avoid excessively large load extraction. In numerical examples, dynamic load is applied to the truss structure and the plate. Then, the reliability of the proposed optimization technique is verified by carrying out size optimization with the equivalent static load.

• Korean Chemical Engineering Research
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• v.47 no.4
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• pp.488-494
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• 2009

Zeolite 4A was prepared by new synthesis method, 2-step crystallization, for enhancement of oil absorption capacity. Vietnamese sand and $NaAlO_2$ solution from natural bauxite were used as raw materials in stead of conventional cullet and $Al(OH)_3$ to reduced the processing cost. Some dissolved organics in $NaAlO_2$ solution were removed by activated carbon. Synthetic method was progressed by 1) reacting the raw materials at $55^{\circ}C$, 4 hr with the ratio of Si/Al to 1.15, and 2) reacting at $65^{\circ}C$, 5 hr with reducing the ratio of Si/Al to 0.98. New method can easily control the particle size, aggregation, surface polarity, and enhanced the whiteness of the products. The prepared zeolite 4A shows excellent oil absorption capacity(O.A.C>50 ml/100 g) as well as equal value with calcium ion exchange capacity, and proves the 2-step crystallization is the economic and effective process for the preparation of zeolite 4A.