자동차 와이어 하네스의 내구 해석 및 응용

원지혜(Ji-hye Won),이상교(Sang-kyo Lee),이흥식(Heung-shik Lee),최은영(Eun-young Choi),조종두(Chongdu Cho),서형주(Hyoung-joo Seo),김성담(Seong-dam Kim),세오히로유키(Seo Hiroyuki),김영길(Young-gil Kim) 한국자동차공학회 2009 한국자동차공학회 학술대회 및 전시회 Vol.2009 No.11

In this study, wire, bundle and ass’y level of the wire harness system are investigated for the fatigue life prediction using both finite element method (FEM) and experimental analysis. To obtain stress-life (S-N) histories of the componential wires of the system, wires are prepared and applied repeated bending motion using developed fatigue life equipment. Equivalent model of the wire from rule of mixture theory is used for the simplification of the analysis. Contact conditions among the wires, taping conditions, optimized composition of wires, effects of the number of wires in the bundle are derived through the bundle level test and bundle numerical analysis. Wire and bundle level results are adopted for the ass’y level analysis. For the ass’y level analysis, real wire harness system including bundle and grommet is numerically modeled and applied contact condition between wire and grommet with real opening motion. As a result, we was able to shorten development time by developing the simulation methodology for wire harness reliability using the FEM in the early stages of wire harness development..

우울증에 영향을 받는 파킨슨병의 진행 과정을 예측하는 영상 유전학적 접근법

원지혜(J.H.Won),박현진(H.Park) 대한전자공학회 2017 대한전자공학회 학술대회 Vol.2017 No.6

Depression occurs in around 40-45% of patients diagnosed with Parkinson’s disease (PD) and it often becomes worse as PD progress. Although underlying mechanisms of depression in PD are not clear, alteration in brain structure and genetic variants are known to contribute to its development. In this study, we aimed to explain clinical score of PD progression for PD patients with depression and non-PD patients with depression by features obtained from imaging genetics approach. Imaging genetics is a novel approach to identify genetic variants related to imaging features. All imaging and genetic data were obtained from openly accessible research database (PPMI). Imaging features were obtained through connectivity analysis derived from tractography of diffusion magnetic resonance imaging (MRI). We then identified genetic variants using the imaging features as intermediate phenotype according to the imaging genetics approach. The linear regression model was constructed to combine neuroimaging features and genetic factors to explain clinical scores of PD progression. We confirmed this linear model explains the clinical score well (coefficient of R<SUP>2</SUP> of 0.728 and adjusted R<SUP>2</SUP>of0.57)

머루 과피와 종자 추출물의 식품 위해성 세균에 대한 항균성 및 인체 암세포주에 대한 cytotoxicity 분석

원지혜 ( Ji Hye Won ),김미라 ( Mee Ra Kim ) 한국식품조리과학회(구 한국조리과학회) 2012 한국식품조리과학회지 Vol.28 No.2

In this study, antibacterial activity and cytotoxicity of the extracts from pericarp and seed of Vitis coignetiea, which were extracted with 0.1% HCl-60% ethanol, were analyzed. The antibacterial activity of the extracts was determined by paper disc diffusion method against food spoilage and food-borne pathogens. The pericarp extract showed high antibacterial activity against Bacillus cereus, Escherichia coli O157:H7, and Pseudomonas aeruginosa, and the seed extract represented the high antibacterial activity against B. cereus, E. coli O157:H7, and Staphylococcus aureus. The cytotoxicity of the Vitis coignetiea extract against human cancer cells was determined using the MTT assay and SRB assay. The pericarp extract represented strong growth-inhibition activity against G361 and Hep3B cells and the seed extract greatly inhibited the growth of HeLa and G361 cells in the MTT assay. In addition, the pericarp extract displayed a high inhibition activity against the growth of AGS cells and the seed extract greatly inhibited the growth of HeLa, Hep3B, and MCF7 cells in the SRB assay. Especially, the cytotoxicities of the seed extract against HeLa were significantly higher than those of the extract against other cancer cells at all test concentrations. This study demonstrates that the extract from pericarp and seed of Vitis coignetiea possess high antibacterial activity and cytotoxicity.

파킨슨병 발병 나이를 예측하는 뇌영상 유전학적 접근법

원지혜(Ji Hye Won),박현진(Hyunjin Park) 대한전자공학회 2020 대한전자공학회 학술대회 Vol.2020 No.8

The age at onset (AAO) is an important determinant of clinical phenotypes in Parkinson’s disease (PD). The AAO of PD is influenced by genetic factors that could be explored well using an emergent analysis approach of neuroimaging genetics. The approach jointly analyzes imaging and genetic data. This study aimed to identify single nucleotide polymorphisms (SNPs) associated with the AAO in PD by applying the imaging genetics and to construct an analytical model for predicting the AAO in PD. We obtained 146 neuroimaging and SNP data from an open research database. Fractional anisotropy of diffusion MRI was used as the intermediate phenotype in the imaging genetics approach to identify the associated SNPs with the AAO of PD. The identified SNPs were used to construct an analytical model to predict the AAO of PD. Another classifier model was built using the SNPs to classify the AAO of PD into four classes. The analytical and classifier models were trained and tested in a five-fold cross-validation. The identified SNPs explained the AAO of PD well (adjusted R2 of 0. 689 over five training folds). Our proposed model predicted the AAO of PD and classified the four subgroups divided by the onset age. In detail, our regression model showed meaningful correlation (r = 0.754, p < {10}^{-4}; averaged over five folds) between the predicted and real AAO of PD. Our classification model showed a mean accuracy of 56.8% over five left out test folds. Our models showed potential for predicting the AAO of PD. Our finding could have a significant impact in preventive medicine in PD because our analytical model is entirely made from SNPs which can be measured accurately after birth possibly before onset.

온라인 GPS 자료처리 서비스의 좌표 정확도 비교분석

원지혜(Won Ji Hye),손은성(Son Eun Seong),박관동(Park Kwan Dong) 대한공간정보학회 2010 대한공간정보학회지 Vol.18 No.4

이 연구에서는 측지ㆍ측량 분야의 GPS 사용자들이 해외 기관에서 제공하는 온라인 자료처리 서비스를 이용해 측점의 정밀좌표를 손쉽게 획득할 수 있도록 여러 기관에서 운영 중인 온라인 자료처리 서비스 간의 성능을 비교하였다. 온라인 GPS 자료처리 서비스 간의 성능비교를 위해 APPS, CSRS-PPP, AUSPOS 그리고 OPUS를 이용해 국내외 상시관측소 7곳의 좌표를 산출하였고, IERS와 국토지리정보원에서 제공하는 고시좌표와 비교하여 정확도를 분석하였다. 국외 상시관측소를 이용한 분석에서는 평균 9.3㎜의 수평좌표 정확도에서 APPS, AUSPOS, OPUS, CSRS-PPP의 순서로 정확도가 높은 것으로 나타냈다. 국내 관측소의 경우 국외 분석사례와 유사하게 AUSPOS, APPS, OPUS, CSRS-PPP 순서로 높은 정확도를 보인 반면, 수평좌표 정확도는 평균 37.6㎜를 기록하였다. 또한 국내 결과는 국외 결과보다 평균 3㎝ 큰 3차원 좌표오차를 보였으며, 북쪽 방향으로 약 3㎝의 편의가 존재함을 확인하였다. In this study, the performance of the online GPS processing services provided by diverse institutions was compared so that domestic GPS users in geodesy and surveying can easily get precise coordinates using those services. In order to evaluate the accuracy of each online GPS processing service, we calculated coordinates of seven GPS permanent stations located in Korea and foreign countries using APPS, CSRS-PPP, AUSPOS and OPUS. And the results were compared with published coordinates by IERS and National Geographic Information Institute. In the cases of foreign stations, the mean value of the horizontal errors was 9.3 ㎜ and the descending order of accuracies was APPS, AUSPOS, OPUS and CSRS-PPP. In the cases of Korean stations, the mean value of the horizontal errors was 37.6 ㎜, although the order of accuracy was similar to the foreign cases; AUSPOS, APPS, OPUS and CSRS-PPP. Also, the average value of 3-D errors in Korean cases was about 3 ㎝ larger than that of foreign cases and a bias of 3 ㎝ was observed in the north direction.

자동차 운전자 경험 리서치의 행동 데이터 수집을 위한 1인칭 시점 관찰법에 관한 연구

원지혜(Won, Ji Hye),이지현(Lee, Ji Hyun) 한국디지털디자인협의회 2015 디지털디자인학연구 Vol.15 No.2

사용자 경험 디자인의 운전자 경험 리서치 분야에서 자동차 운전 경험을 운전자 관점에서 이해하고 이를 총체적으로 파악해야할 필요성이 커지고 있다. 이를 위해 사용자 경험 리서치 방법들을 활용하여 사용자의 경험 연구가 활발히 진행되고 있으나, 자동차 운전 콘텍스트는 안전, 도로 상황, 이동중의 상황, 기술적 제약 조건등의 변수가 존재하여 사용자 경험 리서치를 수행하는데 있어 한계가 있다. 이를 해결하기 위해 카메라 기반의 운전자 행동 데이터 수집 도구를 활용한 운전자 경험 리서치가 활발히 연구되어 왔으나, 관찰자의 개입이 필요하여 운전자가 본인의 경험에 몰입한 상태의 양질의 행동 데이터 수집에 대한 어려움이 존재한다. 이를 해결하기 위해 수요 증가 및 시장이 확대되고 있는 웨어러블기기를 활용하여 ‘사용자 경험 리서치의 행동 데이터 수집을 위한 1인칭 시점 관찰법‘을 제안하고자 한다. Now, in the field of driver experience research that investigates user experience design, the need of understanding and intensively recognizing automobile driving experience from this angle of drivers themselves is being more emphasized than before. In order to respond to the need, several researches on user experience are being actively carried out with multiple user experience research methods applied and yet, limits are always faced with in that when it comes to the automobile driving context, it should deal with safety, road conditions, other circumstances during driving, technological constraints and others, and that is what makes it not easy to conduct user experience research. As a way to resolve the problem, this driver experience research with a camera-based driver behavior data collecting device applied was conducted with the greatest passion but still, intervention of an observer was required, and because of that, it was consequently considered difficult to gather behavior data of good quality when a driver is committed to one’s own experience. In order to fix the problem, again, now, this study aims to propose a ‘Self-observation research method for collecting user behavior data’ by making good use of wearable devices of which demand and market have been only expanding.

머루 과피와 종자 에탄올 추출물의 항산화 활성 및 항돌연변이 활성 분석

원지혜(Ji Hye Won),김미라(Meera Kim) 동아시아식생활학회 2016 동아시아식생활학회지 Vol.26 No.2

단일주파수 기반 GPS 상대측위에서 지역 전리층 모델 적용에 따른 측위 정확도 분석

원지혜(Won, Jihye),손은성(Son, Eun-Seong),박관동(Park, Kwan-Dong) 한국측량학회 2012 한국측량학회 학술대회자료집 Vol.2012 No.4

In this study, 28 permanent GPS stations were used for the development of a regional ionosphere model in South Korea. In order to validate the accuracy of the developed regional ionosphere model, STEC (Slant Total Electron Contents) estimates based on dual-frequency GPS measurements were used as the truth. The RMSE of STEC was 6.9 TECU, which is an average value obtained from the entire GPS satellites observed at the CHSG permanent station. Also, the effect of the regional ionosphere model on relative positioning accuracies was analyzed using L1 single-frequency observations. The sites tested were IHU3, SKMA, SOUL, INJE, and CHSG and the corresponding baselines from the reference station IHU1 were 1 m, 23.7 km, 42.4 km, 150.2 km, and 241.7 km, respectively. The RMSE of positioning accuracy obtained from our regional ionosphere model for SKMA, SOUL, INJE, and CHSG stations improved by 0.2 cm, 1.2 cm, 10.5 cm, 10.5 cm, and 14.5 cm, respectively.

가상화 기법으로 난독화된 실행 파일의 동적 분석을 통한 핸들러 간략화

원지혜(Jihye Won),한태숙(Taisook Han) 한국정보과학회 2014 한국정보과학회 학술발표논문집 Vol.2014 No.6

기상자료 보간 방법에 의한 GPS기반 가강수량 산출 정확도 분석

김두식,원지혜,김혜인,김경희,박관동,Kim, Du-Sik,Won, Ji-Hye,Kim, Hye-In,Kim, Kyeong-Hui,Park, Kwan-Dong 한국공간정보학회 2010 한국공간정보학회지 Vol.18 No.4

Approximately 100 permanent GPS stations are currently operational in Korea. However, only 10 sites have their own weather sensors connected directly to the GPS receiver. Thus. calculation of meteorological data through interpolation of AWS data are needed to determine precipitable water vapors at a specific GPS station without a meteorological sensor. This study analyzed the accuracy of two meteorological data interpolation methods called reverse sea level correction and kriging. As a result, the root-mean square-error of reverse sea level correction were seven times more accurate in pressure and twice more accurate in temperature than the kriging method. For the analysis of PWV accuracy, we calculated GPS PWV during the summer season in :2008 by using GPS observation data and interpolated meteorological data by reverse sea level correction. And, we compared GPS PWV s based on interpolated meteorological data with those from radiosonde observations and GPS PWV s based on onsite GPS meteorological sensor measurements. As a result, the accuracy of GPS PWV s from our interpolated meteorological data was within the required operational accuracy of 3mm. 우리나라에는 100여개의 GPS 상시관측소가 설치되어 있으나 대략 10개의 관측소만이 GPS 전용 기상센서를 보유하고 있다. 따라서 전국을 대상으로 하는 GPS 가강수량 산출을 위해서는 주변 AWS의 가상자료 보간에 의한 GPS 관측소 기상정보의 생성이 필요하다. 이 연구에서는 가상자료 보간 방법인 역해면경정과 크리깅의 보간 정확도를 분석하였다. 그 결과 역해변경정법의 RMSE가 기압의 경우 약 7배, 기온의 경우 약 2배 더 정확함을 확인하였다. PWV 정확도 분석을 위해 역해면경정법으로 보간된 기상자료와 GPS 관측자료를 이용해 2008년 여름철에 대한 GPS PWV를 산출하였다. 보간 기상 자료를 이용한 GPS PWV를 GPS 전용 기상센서의 값을 사용한 PWV, 라디오존데 PWV와 비교하였다. 비교 결과 보간 기상자료를 이용한 GPS PWV 가 요구 정확도 3mm이내를 만족함을 확인하였다.