[CE-0002] Genotype study for heading date using GWAS and genomic selection in wheat core-set

Changhyun Choi(Changhyun Choi),Myoung Hui Lee(Myoung Hui Lee),Urim Kim(Urim Kim),Jin-Kyung Cha(Jin-Kyung Cha),Kyeong-Min Kim(Kyeong-Min Kim),Chon-Sik Kang(Chon-Sik Kang),Jiyoung Son(Jiyoung Son),Jong- 한국육종학회 2022 한국육종학회 공동학술발표집 Vol.2022 No.-

Inundation Analysis of Coastal Area Considering Climate Change

Kim, Kyungtae,Kim, Yonsoo,Kim, Soojun,Choi, Changhyun,Kim, Hung Soo 한국방재학회 2015 한국방재학회 학술발표대회논문집 Vol.14 No.-

Future climate change is expected to raise the mean sea level of Korea by about 0.85m-1.29m. Consequently, flood damage in the coastal area would likewise increase and the scale of damage would also become much larger. Various researches have been conducted to efficiently respond to natural disasters caused by climate change. However, there haven’t been many researches related to the analysis and evaluation of coastal area flood vulnerability caused by the rise in sea level. Hence, this study selected Gilsan River basin, a branch of Geum River as the subject matter and tried to evaluate the effect of sea level rise caused by climate change on the coastal area and adjacent rivers. This study also calculated the change in water quantity in the coastal area by considering the sea level rise as well as the future precipitation according to climate change. It also prepared/compared the relevant flood inundation map. The study result showed that the overall flood level increased as the elevation of the water surface rose due to the rise in sea level. In addition, the extent of increase in flood level caused by sea level rise was greater at a location nearer the outlet and it was smaller at a place farther from the outlet. Based on this result, it could be verified that in coastal rivers, climate change can have an effect not only on the precipitation increase but also on the flood water level and flood inundation due to the rise in sea level. The result of this study could be used as basic data for creating technology that would assess the flood vulnerability of coastal urban regions and evaluate preventive measures for coastal disaster risks.

Flood Simulation and Economic Analysis Considering Stormwater Drainage Pumping Stations

Choi, Changhyun,Kim, Yonsoo,Kim, Soojun,Kim, Kyungtae,Kim, Hung Soo 한국방재학회 2015 한국방재학회 학술발표대회논문집 Vol.14 No.-

Global climate change has made natural disasters become large-scale, diversified, and concentrated, causing social and economic damages one after another. The frequency of natural disasters and the scale of subsequent damages are continuously increasing and more than 90% of damages are caused by rainfall, wind speed, and snowfall. In particular, flood damage accounts for the greatest percentage of damage, which prompts us to prepare necessary preventive measures. Flood damage caused by river inundation often occurred in the past. Recently, however, inland flood damages, such as the inundation of Gangnam Station in 2011 and 2012, caused by urbanization have been increasing, which makes it necessary to simulate flood inundation and calculate the damages while considering the effect of inland inundation as well as river inundation. Accordingly, this study analyzed the inland inundation reduction effect through a simulation of flood inundation utilizing flood pumping stations in Anyang River. An economic analysis was also conducted. In addition, this study prepared/compared the flow inundation map based on the existence and operation of flood pumping stations during a localized heavy rainfall event and tried to analyze the economic feasibility by comparing the expected flood damage and the cost of flood pumping stations using Multi-dimensional Flood Damage Assessment. Through this study, results will be provided as reference data for qualitative flood inundation simulation and economic analysis of the basin where natural discharge of direct runoff is impossible and compulsive drainage is taking place.

Seasonal performance of a non-hydrostatic global atmospheric model on a cubed-sphere grid

Jung-Eun Esther Kim,Myung-Seo Koo,Changhyun Yoo,Song-You Hong 한국기상학회 2021 한국기상학회 학술대회 논문집 Vol.2021 No.4

A new operational weather forecast model, Korean Integrated Model (KIM), is evaluated on a seasonal simulation framework to extend its operations into prediction longer than the weather time scale. The simulated results are compare with those produced by the conventional spectral transform model using an identical physics package, in order to isolate the errors introduced by imperfect physics parameterizations. The simulated mean states of the KIM are very close to the reanalysis for the selected cases. Moreover, most large-scale fields from the KIM are comparable to those from the spectral transform model, which implies that the general features of large-scale variables and precipitation are highly governed by physical parameterizations, and that the physics – dynamics coupling in the KIM is stable in a long-term simulation. To understand the systematic biases of the KIM, the eddy transports on mean states, tropical large-scale circulations, and precipitation would be analyzed in detail.

Dental Hetero-Graft Materials with Nano Hydroxyapatite Surface Treatment

Kim, Dai-Hwan,Kim, Kyung-Il,Yoon, Seokyoung,Kim, Hyung-Jo,Ahn, Jin-Soo,Jun, Sang Ho,Kang, Ho Chang,Pang, Changhyun,Kim, Jaeyun,Cha, Hyung Joon American Scientific Publishers 2015 Journal of Nanoscience and Nanotechnology Vol.15 No.10

<P>We report the development of hydroxyapatite nanoparticle (HAp NP)-functionalized hetero-graft materials (HGMs) for dental applications. These HGMs were prepared by attaching platelet-, needle-, and sphere-shaped HAp NPs to the surface of xenograft materials through chemical conjugation. Although all three HAp NPs contributed to increase the surface area of bone graft material (BGM), the shape of the HAp NPs was a determining factor. Platelet HAp NPs were most effective, because they caused a 48.9% increase in BGM surface area whereas the influence of the spherical NP was only a 6.7% increase. This suggests that geometric factors regarding both the attached HAp NPs and graft material surface are essential in controlling the surface roughness of graft materials. Among the three HAp NPs, it was the platelet HAp NPs that helped to increase the efficacy of the BGM most significantly. Compared with BGM with no HAp NP attachment, HGM with platelet HAp NP ('platelet-HGM) treatment had similar to 46.1% higher cell attachment and proliferation rate. The MU assay also showed that the HAp NP-treated hetero-graft materials had negligible cytotoxicity.</P>

Chip-Level Simultaneous Switching Current Measurement in Power Distribution Network Using Magnetically Coupled Embedded Current Probing Structure

Kim, Jonghoon J.,Changhyun Cho,Bumhee Bae,Sukjin Kim,Sunkyu Kong,Heegon Kim,Jung, Daniel H.,Jiseong Kim,Joungho Kim IEEE 2014 IEEE transactions on components, packaging, and ma Vol.4 No.12

<P>A simultaneous switching current (SSC) drawn by an integrated circuit (IC) creates simultaneous switching noise on power nets, which in turn causes jitters in the I/O signals and reduces the maximum clock frequency. For a thorough analysis of high-speed ICs, there is a dire need to measure currents at specific power pins of the ICs. In this paper, a novel magnetically coupled embedded current probing structure is proposed for measuring the SSC on the chip level resulting from the logical activity of the I/O buffers. SSCs are found by capturing the magnetic flux induced by the SSC of interest, with the proposed embedded current probing structure using magnetic coupling, and then reconstructing the original current waveform using the transfer impedance profile. Through a series of measurements with test vehicles fabricated on the chip level, we experimentally verified the proposed probing structures in the time and frequency domains and proved that they can effectively measure the SSC. Finally, future directions for improvements are discussed at the end of this paper.</P>

Immobilization of strontium using microbial process

Changhyun ROH,Joanna C. RENSHAW,Susan CUMBERLAND,Kieran TIERNEY,Ronald J. TURNER,Rebecca J. LUNN,Min-Kyu KIM,Seon-Byeong KIM,Ilgook KIM,Jae-Hoon KIM,In-Ho YOON,Hee Chul EUN,Beom-Su JANG,Mansoo CHOI 한국생물공학회 2019 한국생물공학회 학술대회 Vol.2019 No.10

빅 데이터 분석 기법을 이용한 풍수해 복원탄력성 지표 개발 및 평가: (1) 복원탄력성 지표 개발

김연수(Kim Yonsoo),최창현(Choi Changhyun),배영혜(Bae Younghye),김동현(Kim Donghyun),김덕환(Kim Deokhwan),김형수(Kim Hung Soo) 한국방재학회 2018 한국방재학회지 Vol.18 No.4

In this study, we developed indicators for evaluation of storm and flood resilience using big data analysis. Standard terms were selected to collect data necessary for development of indicators and unstructured data such as papers and reports were collected. Preprocessing such as duplicate document processing, specialized dictionary registration, and stop word removal was performed on the collected data. Classification criteria were selected and indicators of the previous studies were reclassified by the classification criteria. Representative keywords were selected by each classified indicators and the related search words for each representative keywords were extracted by analysis of related search words. The extracted search terms were applied to the collected unstructured data, and 83 resilience indicators were developed by selecting detailed indicators and proxy variables in accordance with the selection criteria. The developed storm and flood resilience indicators can be used as a basic data of evaluation of storm and flood resilience for effective disaster management. 본 연구에서는 빅 데이터 분석 기법을 이용하여 풍수해 복원탄력성 평가에 필요한 지표를 개발하였다. 지표 개발에 필요한 데이터를 수집하기 위해 기준용어를 선정하였고, 논문과 보고서 등의 비정형 데이터를 수집하였다. 수집된 데이터에 중복문서 처리, 전문용어 사전 등록, 불용어 처리의 전처리 과정을 진행하였고, 분류기준을 선정하여 선행연구들의 지표를 재분류하였다. 분류된 지표별로 대표 키워드를 선정하고, 연관 검색어 분석을 통해 대표 키워드별 연관 검색어를 추출하였다. 추출된 연관 검색어를 수집된 비정형 데이터에 적용하였고, 선정기준에 부합되는 상세지표와 대리변수를 선정하여 총 83개의 복원탄력성 지표를 개발하였다. 개발된 복원탄력성 지표는 효과적인 재난관리를 실시하기 위한 풍수해 복원탄력성 평가의 기초자료로 사용될 수 있을 것이다.

통계적 방법론을 이용한 호우피해예측함수 개발

최창현(Choi, Changhyun),김종성(Kim, Jongsung),김정환(Kim, Jeonghwan),김한용(Kim, Hanyong),이우주(Lee, Woojoo),김형수(Kim, Hung Soo) 한국방재학회 2017 한국방재학회논문집 Vol.17 No.3

본 연구에서는 한강권역을 대상으로 선형회귀모형, 일반화선형모형, 주성분 회귀모형, 인공신경망 모형과 같은 통계적 모형을 적용하여 호우피해예측함수를 개발하였다. 학습용 데이터(1994∼2011년)로부터 개발된 함수를 평가용 데이터(2012∼2015년)에 적용하고, 실제 호우피해액과 예측 호우 피해액을 비교하여 예측력을 평가하였다. 평가결과 NRMSE는 10.61∼13.89%로 나타났으며, 일반화선형모형에 벌점화를 통한 축소추정법을 적용한 함수에서 가장 좋은 예측력을 나타냈다. 본 연구에서 개발된호우피해예측함수를 활용하여 재난 피해 발생 전 피해규모와 영향을 신속하게 추정한다면, 예방 및 대비 차원의 재난관리에 유용하게 활용될 수 있을 것이다. In this study, we develop heavy rain damage prediction functions for Han river basin by using statistical models such as linear regression model, generalized linear model, principal component regression model, artificial neural network model. The prediction functions were estimated from the training data (1994 to 2011) and evaluated by the test data (2012 to 2015). Their performances were assessed by comparing observed heavy rain damages and predicted damages. Specifically, the NRMSE was 10.61~13.89%. A generalized linear model based on penalized likelihood method showed the best prediction performance. This heavy rain damage prediction function developed in this study can be used not only for estimati

빅 데이터 분석 기법을 이용한 풍수해 복원탄력성 지표 개발 및 평가: (2) 복원탄력성 평가

최창현(Choi Changhyun),김연수(Kim Yonsoo),김종성(Kim Jongsung),김동현(Kim Donghyun),김정욱(Kim Jungwook),김형수(Kim Hung Soo) 한국방재학회 2018 한국방재학회지 Vol.18 No.4

본 연구에서는 빅 데이터 분석 기법을 이용하여 풍수해 복원탄력성을 평가할 수 있는 방안을 제시하였다. 적정 지표 선정을 위해 빅 데이터 분석 기법이 적용된 풍수해 복원탄력성 지표에 표준화 방법 및 요인분석을 적용하였고, TF-IDF (Term Frequency-Inverse Document Frequency)를 이용하여 각 지표별 가중치를 산정하였다. 본 연구에서 개발된 풍수해 복원탄력성 평가 방안을 이용하여 안양천 유역의 시군구별 풍수해 복원탄력성을 평가하였고, 이를 지역안전도 평가 결과와 비교 및 검토하였다. 개발된 연구 성과는 기존의 재난관리 분야에 적용이 미비하였던 빅 데이터 분석 기법의 활용 방안을 제시하였고, 기후변화로 인해 자연재난의 강도 및 빈도가 증가하고 있는 상황에서 효율적인 재난관리를 실시하기 위한 기초자료로 활용할 수 있을 것으로 기대된다. In this study, we proposed a method to evaluate the resilience of storm and flood using big data analysis. Standardization method and factor analysis were applied to storm and flood resilience indicators with big data analysis technique for indicator selection. And the weights for each indicator were calculated using the TF-IDF (Term Frequency-Inverse Document Frequency). The storm and flood resilience was evaluated municipality of city, town, and county in Anyang river basin using the storm and flood resilience evaluation method developed in this study and compared with the result of the regional safety assessment. The results of this research suggested the application methodology of big data analysis techniques which were not applied to the existing disaster management field. And it is expected that it will be used as basic data for effective disaster management in the situation where the intensity and frequency of natural disasters are increasing due to climate change.