• The Journal of Engineering Geology
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• v.33 no.4
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• pp.673-687
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• 2023

Exploratory data analysis is the process of observing and understanding data collected from various sources to identify their distributions and correlations through their structures and characterization. This process can be used to identify correlations among conditioning factors and select the most effective factors for analysis. This can help the assessment of landslide susceptibility, because landslides are usually triggered by multiple factors, and the impacts of these factors vary by region. This study compared two stages of exploratory data analysis to examine the impact of the data exploration procedure on the landslide prediction model's performance with respect to factor selection. Deep-learning-based landslide susceptibility analysis used either a combinations of selected factors or all 23 factors. During the data exploration phase, we used a Pearson correlation coefficient heat map and a histogram of random forest feature importance. We then assessed the accuracy of our deep-learning-based analysis of landslide susceptibility using a confusion matrix. Finally, a landslide susceptibility map was generated using the landslide susceptibility index derived from the proposed analysis. The analysis revealed that using all 23 factors resulted in low accuracy (55.90%), but using the 13 factors selected in one step of exploration improved the accuracy to 81.25%. This was further improved to 92.80% using only the nine conditioning factors selected during both steps of the data exploration. Therefore, exploratory data analysis selected the conditioning factors most suitable for landslide susceptibility analysis and thereby improving the performance of the analysis.

• Journal of the Korean Association of Geographic Information Studies
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• v.3 no.4
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• pp.33-49
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• 2000

This research demonstrates the application of GIS to the selection of the waste landfill site through the case study of a urban area. The estimation factors for the suitability analysis of the waste landfill site were determined. The database was built through collection, input, and transformation of data. The recent land cover classification data and NDVI data which were obtained through processing of satellite imagery were incorporated into GIS data as estimation factors. The relative weights of importance among 2nd category estimation factors were determined by the pairwise comparison method. Also relative weights of 1st category estimation factors which are divided into the social-economical factor and the natural environmental factor were combined with those of 2nd category estimation factors. As the results of this case study, the suitability analysis was conducted in accordance with various estimation criteria. The highest suitability index was obtained in the case where we considered the relative weights of 2nd category estimation factors as different in the viewpoint which regards the social economical factor as important.

• Applied Chemistry for Engineering
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• v.19 no.2
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• pp.179-184
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• 2008

The separation and purification of succinate are necessary for the succinic acid production by a fermentation process. Among the purification processes, desalination of succinate is inevitable. In this work, electrodialysis was selected as a desalination method and its operating parameters affecting the degree of desalination and energy consumption were examined. Commercialized electrodialysis apparatus was used in this work and its optimum operating parameters were determined by using design of experiment (DOE) method. Voltage, concentration of succinate, and pH were selected as main parameters. Among them, voltage seemed to be the most important one. The final conversion of succinate to succinic acid was calculated when the operating parameters were optimized. Finally, the effect of impurities, such as corn steep oil, yeast extract, and dextrose on the electrodialysis efficiency was also studied.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.361-361
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• 2021

가뭄의 경우 타 자연재난에 비해 발생경로, 피해범위, 발생기간 등이 매우 다양해 다각적인 측면에서의 대응책 마련이 필요하다. 따라서, 극한가뭄에 대비한 지자체별 가뭄 역량 평가를 수행하는 것은 재난관리에 있어서 최우선이라고 할 수 있다. 현재 국내외적으로 가뭄과 관련된 지역적 복원력을 평가한 사례는 매우 적다. 가뭄은 지진, 홍수 등과 같은 타 자연재난에 비하여 지속기간이 길고, 그 지속기간에 따라 피해의 영향 또한 파급력이 달라지므로 복원력 산정을 위한 항목, 복원력 곡선의 저하 형태 및 양상 역시 가뭄의 특성에 맞춰 도출되어야 한다. 본 연구에서는 지자체별 극한가뭄에 대한 복원력 정량화를 위하여 가뭄과 관련된 내구성, 대체성, 신속성, 자원동원력의 세부인자를 정성인자와 정량인자로 구분하여 총 18개 항목으로 구성하였다. 구성된 18가지 항목이 정량인자 뿐만 아니라 정성인자로 구성됨에 따라, 모든 인자를 동일한 가중치로 평가할 경우 최종결과가 상대적 중요도의 미 고려로 인해 왜곡될 가능성이 존재한다. 따라서 계층적분석기법(AHP, Analytic Hierarchy Process)을 통해 내구성, 대체성, 신속성, 그리고 자원동원력에 대한 가중치와 내구성, 대체성, 그리고 신속성에 대한 세부 지표별 가중치를 도출하여 지역별 메가가뭄 복원력을 정량화 하였다. 분석결과를 동일한 가중치를 적용한 결과와 비교분석하였으며, 과거 가뭄사례를 통해 검토하였다.

• Journal of the Korean Institute of Landscape Architecture
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• v.52 no.2
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• pp.64-78
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• 2024

Storytelling is a communication technique to express and convey the story using various media, where the audience accepts the story, reinterprets the topic and interacts with the storyteller. It was assumed that the user's significance and awareness about the storytelling technique applied to historical theme parks would have an impact on the satisfaction of using the theme park and intention to revisit. In this study, it was purposed to derive the structural factors of spatial storytelling in historical theme parks, and to understand the impact of user's awareness and constituent factors on user responses. Based on previous researches, the structural factors of spatial storytelling in historical theme parks were derived related to theme, experientiality, unusualness, educationalness, unity, expressiveness, interactivity, and interest, and for which the users' awareness was surveyed. The survey was conducted targeting the users of Samguk Yusa Theme Park located in Gunwi-gun, Gyeongsangbuk-do, where the collected data was analyzed using EXCEL2020 and SPSS 21.0 statistical programs, and the results are as follows: First, the spatial storytelling technique applied as a conveying method of the theme of Samguk Yusa Theme Park affects users' satisfaction and intention to revisit, and most respondents responded that the storytelling was significant. Second, it showed that the significance of unusualness and educationalness among the awareness of significance of the spatial storytelling constituent factors of Samguk Yusa Theme Park has a significant impact on user's satisfaction, and the significance of unusualness, interactivity, educationalness, and interest has a significant impact on intention to revisit. Third, it showed that the awareness of interest, theme, and unity has a significant impact on user's satisfaction depending on the user's awareness of spatial storytelling constituent factors of Samguk Yusa Theme Park, and the awareness of interactivity and experientiality has a significant impact on intention to revisit. This study is meaningful in quantitative analysis and interpretation of the influence of storytelling on user's response to historical theme parks by the exploratory analysis of characteristic factors and spatial storytelling constituent factors on historical theme parks and deriving the structural factors of spatial storytelling in historical theme parks.

• Progress in Medical Physics
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• v.21 no.2
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• pp.201-208
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• 2010

Recently, along with technology development of endoscopic equipment, a stent has been developed for the convenience of operation, shortening of recovery times, and reduction of patient's pain. To this end, optimal factors are simulated for the stent structure and mechanical reaction and verified using finite element analysis. In order to compare to present commercialized product such as Zilver (Cook, Bloomington, Indiana, USA) and S.M.A.R.T (Cordis, Bridgewater Towsnhip, New Jersey, USA), mechanical impact factors were determined through Taguchi factor analysis, and flexibility and expandability of all the products including ours were tested using finite element analysis. Also, important factors were sought that fulfill the optimal condition using central composition method of response surface analysis, and optimal design were carried out based on the important factors. From the centra composition method of Response surface analysis, it is found that importat factors for flexibility is stent thickness (T) and unit area (W) and those for expandability is stent thickness (T). In results, important factors for optimum condition are 0.17 mm for stent thickness (T) and $0.09\;mm^2$ for unit area (W). Determined and verified by finite element analysis in out research institute, a stent was manufactured and tested with the results of better flexibility and expandability in optimal condition compared to other products. Recently, As Finite element analysis stent mechanical property assessment for research much proceed. But time and reduce expenses research rarely stent of optimum coditions. In this research, Important factor as mechanical impact factor stent Taguchi factor analysis arrangement to find flexibility with expansibility as Finite element analysis. Also, Using to Center composition method of Response surface method appropriate optimized condition searching for important factor, these considering had design optimized. Production stent time and reduce expenses was able to do the more coincide with optimum conditions. These kind of things as application plan industry of stent development period of time and reduce expenses etc. be of help to many economic development.

• Proceedings of the KSR Conference
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• 2005.11a
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• pp.65-71
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• 2005

본 논문에서는 PRT(Personal Rapid Transit) 시스템의 성능과 시스템의 안전에 영향을 미치는 PRT 시스템의 운전시격(Headway)에 대해서 다룬다. 어떤 차량과 다음 차량과의 운전 간격을 나타내는 운전시격은 대중교통수단에서 교통 혼잡의 문제를 풀 수 있는 중요한 단서가 되는 성로용량을 평가하는 중요한 인자들 중의 하나이다. 운전시격을 결정하기 위한 중요한 인자들에는 고장 차량의 감속비, 고장차량의 후미에 있는 차량의 비상 제동 감속비, 차량의 선로속도, 차량의 제동을 위한 지연시간 등이 있다. 이들 인자들을 이용한 간단한 해석적 방정식은 차량의 선속도, 감속도와 운전시격에 대한 상관관계를 예측할 수 있도록 해준다. 본 논문에서는 간단한 해석 방정식을 이용한 수치 해석적 방법을 통해서 최소 운전시격에 대한 평가를 예를 간단한 모의시험을 통해서 보인다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1992.04b
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• pp.615-624
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• 1992

비디오의 주행계의 안정성은 비디오 품질의 중요한 요소로서 이에 영향을 주는 인자들은 다양하며 여러 인자들이 복합적으로 작용하여 비디오 테이프의 주행상에 영향을 준다. 본 연구에서는 D전자회사의 비디오 주행경로의 변동을 최소화하기 위하여 어떠한 인자를 제어하는 것이 필요한지 주요 인자의 선정문제를 회귀분석을 이용하여 결정하는법, 선정된 인자의 최적수준 조합을 결정하는 문제를 해결하는 절차와 부품의 조립허용공차의 선정절차를 제시한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.05a
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• pp.337-340
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• 2003

다층 퍼셉트론(Multi-Layer Perceptron, MLP) 구조를 이용한 비선형 적합은 실제문제에 매우 다양하게 적용되고 있다. 이때 일반화된 MLP 구조의 적합을 위해서는 은닉노드의 개수 초기 가중값 그리고 학습 회수와 같은 구조인자들을 함께 고려해야 한다. 만약 구조인자들이 부적절하게 선택되었다면 일반화된 MLP 구조의 적합효율이 매우 저하될 수 있다. 그러므로 MLP 구조에 영향을 주는 인자들의 영향을 살펴보는 것은 중요한 문제다. 이 논문에서는 제어상자(controller box)를 통한 학습결과와 더불어 MLP 구조를 일반화할 때 영향을 줄 수 있는 구조인자(factor)들의 실증분석과 이들의 상대효과를 살펴본다.

• Journal of Korea Water Resources Association
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• v.35 no.6
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• pp.685-692
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• 2002

It is very useful to estimate easily the various characteristics of streams and to manage objectively streams, as the order or grade among streams is determined by the natural characteristics and the degree of human utilization. With obtainable various statistics data and expert examination, we proposed the measurable evaluation index of "stream weight" considering the natural characteristics of streams, the utilization degree of streams and the social conditions of the regions crossed streams. The each stream weight is calculated as follows. Firstly, select the various factors which influence to streams in AHP. Secondly, determine the each weight of factors by the result of expert examination. Finally, sum up after multiplying the normalized factors by these two values. The stream weight can be used such divisions as the recognization of relative weight between streams, the determination of the stream management direction in the near future, the enhancement of the efficiency of stream management through the adjustment of the present stream grade and the determination of the management method concerned the stream weight as well.t as well.