• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.4
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• pp.1515-1522
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• 2011

This paper proposed the finite element analysis technique for improving the correleration accuracy between FEA and test on a pedestrian lower legform impact. Europe has been evaluating the bumper pedestrian impact by Euro-NCAP, and it will also be applied in a domestic area by K-NCAP in 2013. By using the compression test result of bending resisting stiffener, a pedestrian bumper modeling guide was presented by analayzing the force-displacement curve of stiffener. And by using the sensor measurement results in car pedestrian test, pedestrian impact behavior was analyzed between test and finite element analysis result. Finally, the finite element analysis guide for a pedestrian bumper impact was presented to improve the correleration accuracy.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.879-879
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• 2012

강우현상의 공간적 변동성에 대한 해석은 수자원 계획 및 관리를 위해 중요한 관심사가 되고 있다. 일반적으로 우리가 얻을 수 있는 강우자료는 한 지점에 설치되어 있는 우량계에 의한 관측된 지점강우량자료이다. 기존의 집중형 수문모형이 유출과정의 공간적인 분포 및 변화를 유역단위로 평균화해서 취급하는 개념기반의 모형임에 반해서 분포형 수문모형은 유역을 수문학적으로 균일한 매개변수를 갖는 소유역 또는 격자망으로 구분하여 적용하는 것으로, 도시화 등 토지이용의 변화나 기타 유역내의 물리적인 특성의 변화가 수문과정에 미치는 영향을 잘 모의할 수 있다. 따라서 본 연구에서는 Vflo$^{TM}$ 분포형 강우-유출 모형과 IDW, Ordinary Kriging, Thiessen 등의 강우 분포 기법을 이용하여 낙동강 제 1지류인 금호강의 동촌 수위관측소 유역($1,544km^2$)을 출구로 하여 강우-유출모의를 하였다. 이를 위하여 강우-유출에 영향을 주는 매개변수를 선정하고 동촌 수위관측소의 실측 유량자료를 바탕으로 하여 IDW, Kriging, Thiessen 등의 면적강우량 산정방법별로 모형의 보정(2007, 2009) 및 검증(2010)을 실시하였다. 모의 된 유출량과 실측유량의 상관성은 결정계수 $R^2$에서 IDW 과 Kriging의 경우 0.95 ~ 0.99의 상관성을 나타냈으며 Thiessen 의 경우 0.94 ~ 0.99의 값을 나타냈다. Nash-Sutcliffe 모형효율은 IDW의 경우 0.95 ~ 0.98, Kriging의 경우 0.94 ~ 0.99를 나타냈으며 Thiessen의 경우는 0.90 ~ 0.98의 모형효율을 나타내었다. 이때 포화투수계수와 조도계수가 전체 유량과 첨두시간에 영향을 주었다. 호우사상을 선정하여 검보정을 실시 한 결과, 유역의 유출 모의를 수행하였을 때 선행강우량에 따라서 토양의 침투능에 영향을 많이 주고 있기 때문에, 선행 토양함수조건(Antecedent Moisture Condition: AMC)으로 분류한 뒤에 AMC 조건에 따라서 유출-모의를 수행하는 것이 타당하다고 판단된다.

• Korean Journal of Ecology and Environment
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• v.52 no.4
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• pp.358-365
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• 2019

We measured the body composition, including bone mineral density (BMD) and food resource availability using dual energy X-ray absorptiometry and the carbon and nitrogen stable isotope ratios of body condition of 4 anuran species(Hyla japonica, Glandirana rugosa, Pelophylax nigromaculatus, Lithobates catesbeianus) in South Korea. Additionally, the carbon and nitrogen stable isotope ratios were employed to determine the food resource availability of anurans. We figured out the relationship between the body composition, including BMDs and food resource availability. The body composition and BMDs did not differ between male and female while there was difference among the species. Food resource availability and BMDs were the highest in L. catesbeianus, the lowest in H. japonica. BMDs tended to increase with higher food resource availability. Body composition and BMDs, which represent the body condition of an individual, can be used as an ecological indicator to assess the stability of the habitat of anurans.

• 대한공업교육학회지
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• v.34 no.1
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• pp.129-154
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• 2009

The purpose of this study was to find the effect of intuitive free association and systematic free association on the creativity of high school students group in the conceptual design process. Based on this study result, the conclusion can be summarized as follows. 1. There was meaningful relation between intuitive free association and creativity factor of high school students. Mean value of experimental group A 's creativity and it's factor originality, practicality, elaboration, and fluency which treated intuitive free association was increased. 2. There was meaningful relation between systematic free association and creativity factor of high school students. Mean value of experimental group B 's creativity and it's sub factors: originality, problem solving, elaboration, and fluency which was treated systematic free association was increased. 3. It was found that two different divergent thinking does not show any meaningful difference in creativities of two groups. However, the meaningful difference was found in post creativity test in each groups sub-factors. There was meaningful difference in practicality factor, though there was no meaningful difference in originality, elaboration, fluency factors. Using the obtained results, it was concluded that intuitive thinking and systematic thinking play different roles in practicality which is one of sub-factors of the creativity of high school students. Consequently, it can be concluded that systematic thinking which leads students to take a step to solve a given problem can elicit more scientific thinking, and helps students create more practical solution in problem solving than intuitive thinking that emphasize the quantitative aspect of ideas.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.1
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• pp.79-86
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• 2021

In order to increase the probability of success in big data projects, quantified techniques are required to analyze the root cause of risks from complex causes and establish optimal countermeasures. To this end, this study measures risk factors and relationships through SNA analysis and presents a way to respond to risks based on them. In other words, it derives a dependency network matrix by utilizing the results of correlation analysis between risk groups in the big data projects presented in the preliminary study and performs SNA analysis. In order to derive the dependency network matrix, partial correlation is obtained from the correlation between the risk nodes, and activity dependencies are derived by node by calculating the correlation influence and correlation dependency, thereby producing the causal relationship between the risk nodes and the degree of influence between all nodes in correlation. Recognizing the root cause of risks from networks between risk factors derived through SNA between risk factors enables more optimized and efficient risk management. This study is the first to apply SNA analysis techniques in relation to risk management response, and the results of this study are significant in that it not only optimizes the sequence of risk management for major risks in relation to risk management in IT projects but also presents a new risk analysis technique for risk control.

• The Korean Journal of Pesticide Science
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• v.6 no.4
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• pp.231-243
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• 2002

Starting with linear free energy relationships (LFER), drug design to mimic of the activated complexes at transition state, and hydrolysis mechanisms to control the potency and residual properties of pesticides were introduced and summarized for the necessity. In order to understand the searching or development of new agrochemicals by two dimensional quantitative structure-activity relationship (2D QSAR) methodology, a series of the various descriptors, steric constants, electronic constants including quantum pharmacological parameters and hydrophobic constants were classified and discussed for results of the several studied cases. In addition, the processes of development of new agrochemicals by QSAR techniques were introduced simply.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.441-441
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• 2022

국내외적으로 정확한 수문기상 현상의 관측에 대한 수요가 증가하고 있다. 이를 위하여 기존의 재래식 관측장비의 한계성을 극복하고자 첨단장비가 활발하게 도입되고 있다. 우리나라는 관악산 기상레이더를 시작으로 하천 및 도심지의 돌발홍수 정보를 제공하고자 강우레이더 신설을 진행하고 있다. 본 연구에서는 하천유역조사 사업에서 티센다각형법을 이용하여 유역단위 면적평균강수량을 산정하는 경우 영동권역과 같이 지상관측소 밀집도 부족으로 인하여 발생하는 강수량의 공간적 편차를 정량적으로 검토하고자 전국 하천유역에 대하여 1.5km Constant Altitude PPI(CAPPI) 합성장의 레이더 강수량을 활용한 유역단위 면적평균강수량을 산정하고 지상 강수량과 통계적 적합도(goodness of fit)를 평가하였다. 지상 강수량을 활용한 유역단위 면적평균강수량과 레이더 강수량은 높은 상관성을 나타내었으나 관측기법의 특성으로 발생하는 정량적 편의(bias) 보정의 필요성을 확인하였다. 시공간적으로 고해상도의 레이더 강수정보를 활용하기 위하여 활용 목적에 적합한 레이더 강수량 보정기법의 개발이 필요할 것으로 사료된다. 또한, 대용량 레이더 자료를 안정적으로 처리할 수 있는 플랫폼 및 레이더 강수량 품질관리 체계 구축을 통하여 수문조사 및 수문해석 지원이 가능할 것으로 판단된다.

• The Journal of the Korea Contents Association
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• v.16 no.3
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• pp.11-21
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• 2016

Recently, structure safety management techniques using cutting-edge technology(Displacement senor, sensor of acceleration) has emerged as an important issue owing to the aging of infrastructure such as bridge and building. In general, the structural monitoring system for structure safety management is based on IT technology and it is expensive to install. In this paper developed an image-based structure dynamic characteristic analysis system prototype to assess the damage of structure in a more cost-effective way than traditional structure health monitoring system. The inspector can take a video of buildings or other structures with digital camera or any other devices that is passible to take video, and then using NCC calculation for image processing technique to get natural frequency. This system is analysis of damage of the structure using a compare between the frequency response ratio and functions when problems are occurs send alarm to administrator. This system is easier to install and remove than previous monitoring sensor in economical way.

• Journal of the Korean earth science society
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• v.32 no.6
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• pp.665-673
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• 2011

In order to estimate the hydrocarbon reserves, the porosity of the reservoir must be determined. The porosity of the area without a well is generally calculated by extrapolating the porosity logs measured at wells. However, if not only well logs but also seismic data exist on the same site, the more accurate pseudo porosity log can be obtained through artificial neural network technique by extracting the relations between the seismic data and well logs at the site. In this study, we have developed a module which creates pseudo porosity logs by using the polynomial neural network method. In order to obtain more accurate pseudo porosity logs, we selected the seismic attributes which have high correlation values in the correlation analysis between the seismic attributes and the porosity logs. Through the training procedure between selected seismic attributes and well logs, our module produces the correlation weights which can be used to generate the pseudo porosity log in the well free area. To verify the reliability and the applicability of the developed module, we have applied the module to the field data acquired from F3 Block in the North Sea and compared the results to those from the probabilistic neural network method in a commercial program. We could confirm the reliability of our module because both results showed similar trend. Moreover, since the pseudo porosity logs from polynomial neural network method are closer to the true porosity logs at the wells than those from probabilistic method, we concluded that the polynomial neural network method is effective for the data sets with insufficient wells such as F3 Block in the North Sea.

• Korean Journal of Construction Engineering and Management
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• v.4 no.4 s.16
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• pp.164-172
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• 2003

생산성은 프로젝트를 관리하는데 있어서 효율성을 측정하는 중요한 지표이다 또한 건설 생산성은 비용 및 일정과 연관성이 있을 뿐만 아니라 프로젝트의 성공 여부와도 관련이 크다. 프로젝트에서 생산성의 중요성에도 불구하고 국내에서의 생산성 관련 연구는 생산성에 대한 기본 개념 및 원칙에 관한 기초적인 연구 없이 정량적인 연구에 집중되어 있으며, 관련 데이터 수도 적은 실정이다. 국내 건설 공사의 생산성을 향상시키기 위해서는 생산성 관리의 정량적친 요인뿐만 아니라, 정성적인 요인까지 관리해야 하며, 저하요인에 따른 체계적이고 세부적인 프로세스 및 기법이 제시되어야 한다 이에 국내 건설 공사의 생산성 관리에 린 건설을 도입하고자 한다. 본 연구에서는 국내 생산성 저하요인과 린 건설에서의 Waste 요인과의 상관관계 분석을 통해 국내 건설 공사 현장에서의 Waste 주요 의미를 살펴보고 두 요인간의 상호 관련성을 파악하여, 린 건설의 프로세스 및 기법을 국내 건설 공사 현장에 적용하기 위한 이론적인 근거를 제공하고자 한다.