• 한국소성가공학회:학술대회논문집
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• 한국소성가공학회 2005년도 춘계학술대회 논문집
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• pp.106-109
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• 2005

Springback is a common phenomenon in sheet metal forming, caused by the elastic recovery of the internal stresses after removal of the tooling. Recently, advanced high strength steels (AHSS) such as TRIP and DP are finding acceptance in the automotive industry because their superior strength to weight ratio can lead to improved fuel efficiency and assessed crashworthiness of vehicles. The major troubles of the automotive structural members stamped with high strength steel sheets are the tendency of the large amount of springback due to the high yield strength and the tensile strength. The amount of springback is mainly influenced by the type of the yield function and anisotropic model induced by rolling. The discrepancy of the deep drawn product comparing the data of from the product design induced by springback must be compensated at the tool design stage in order to guarantee its function and assembly with other parts. The methodology of compensation of the low shape accuracy induced by large amount of springback is developed by the expert engineer in the industry. Recently, the numerical analysis is introduced in order to predict the amount of springback and to improve the shape accuracy prior to tryout stage of press working. In this paper, the tendency of springback is evaluated with respect to the blank material. The stamping process is analyzed fur the front side member formed with AHSS sheets such as TRIP60 and DP60. The analysis procedure fully covers the binderwrap, stamping, trimming and springback process with the commercial elasto-plastic finite element code LS-DYNA3D.

• 융합신호처리학회논문지
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• 제21권4호
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• pp.183-194
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• 2020

최근 영유아 성장기에 발생하는 고관절 이형성증(Developmental Dysplasia of Hip, DDH)의 숫자가 늘어나고 있다. DDH는 영유아 성장을 방해하고 다른 부작용도 많이 발생시키기 때문에 최대한 조기에 발견하여 치료해야 한다. 최근 들어 Convolutional Neural Networks (CNN) 및 개선된 Resnet50을 활용한 머신러닝 기법이 초음파 영상 분석에 많이 활용되고 있다. 연구 결과를 보면 컴퓨터 보조 이미지 분석이 의료현장에서 객관성과 생산성을 크게 향상시키고 있다. 본 연구의 결과는 정형외과에서의 난제인 초음파 영상을 통한 DDH 컴퓨터 보조 진단 알고리즘에도 충분히 활용될 수 있다는 것을 보여주고 있다. 본 논문에서는 CNN을 활용하여 DDH를 자동으로 측정하고 진단할 수 있는 컴퓨터 보조 진단 알고리즘을 제안하였다. DDH 측정을 위해 유아 고관절의 정상/비정상 판독을 위해 Acetabulum-Femoral head의 angle을 자동으로 계산하였으며 기존 영상을 딥 러닝하여 진단을 자동으로 하는 알고리즘을 설계하였다. 실험 결과 의사와 비교하여 진단의 속도와 정확도가 향상된다는 것을 확인하였다.

• 대기
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• 제31권5호
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• pp.489-510
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• 2021

In this paper, we propose an algorithm for detecting convective initiation (CI) using GEO-KOMPSAT-2A/advanced meteorological imager data. The algorithm identifies clouds that are likely to grow into convective clouds with radar reflectivity greater than 35 dBZ within the next two hours. This algorithm is developed using statistical and qualitative analysis of cloud characteristics, such as atmospheric instability, cloud top height, and phase, for convective clouds that occurred on the Korean Peninsula from June to September 2019. The CI algorithm consists of four steps: 1) convective cloud mask, 2) cloud object clustering and tracking, 3) interest field tests, and 4) post-processing tests to remove non-convective objects. Validation, performed using 14 CI events that occurred in the summer of 2020 in Korean Peninsula, shows a total probability of detection of 0.89, false-alarm ratio of 0.46, and mean lead-time of 39 minutes. This algorithm can be useful warnings of rapidly developing convective clouds in future by providing information about CI that is otherwise difficult to predict from radar or a numerical prediction model. This CI information will be provided in short-term forecasts to help predict severe weather events such as localized torrential rainfall and hail.

• Computers and Concrete
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• 제30권4호
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• pp.277-287
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• 2022

Due to the scarcity of extortionate experimental data, fatigue failure of the reinforced concrete (RC) element might be achieved economically adopting nonlinear finite element (FE) analysis as an alternative approach. However, conventional implicit dynamic analysis is expensive, quasi-static method overlooks interaction effects and inertia, direct cyclic analysis computes stabilized responses. Apart from this, explicit dynamic analysis may provide a numerical operating system for factual long-term responses. The study explores the fatigue behavior based on a simplified explicit dynamic solution employing nonlinear time domain analysis. Among fourteen RC beams, one beam is selected to validate under static loading, one under fatigue with the experimental study and other twelve to check the detail fatigue behavior. The SWOT (Strength, Weakness, Opportunities, Threats) analysis has been carried out to pinpoint the detail scenario in the adoption of numerical approach as an alternative to the experimental study. Excellent agreement of FE and experimental results is seen. The 3D nonlinear RC beam model at service fatigue limits is truthful to be used as an expedient contrivance to envisage the precise fatigue behavior. The simplified analysis approach for RC beam under fatigue offers savings in computation to predict responses providing acceptable accuracy rather than the complicated laboratory investigation. At higher frequency, the flexural failure occurs a bit earlier gradually compared to the repeated loading case of lower frequency. The deflection increases by 6%-10% at the end of first cycle for beams with increasing frequency of cyclic loading. However, at the end of fatigue loading, greater deflection occur earlier for higher load range because of more rapid stiffness degradation. For higher frequency, a slight boost in concrete compressive strains at an initial stage of loading has been seen indicating somewhat stepper increment. Stiffness degradation in larger loading cycle at same duration escalates the upsurge of the rate of strain in case of higher frequency.

• Tribology and Lubricants
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• 제38권5호
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• pp.179-184
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• 2022

The power train of transmission for 21-ton grade wheel excavator makes use of a complex gear train composed of a planetary and helical gear system to drive the wheel excavator by transmitting power to the axle. The complex gear train with a shift mode is an important part of the transmission because of strength problems in an extreme environment. To calculate the specifications of the complex gear train and analyze the gear bending and compressive stresses of the complex gear train, this study analyzes gear bending and compressive stresses accurately for the optimal design of the complex gear train with respect to cost and reliability. In this article, the gear bending and compressive stresses of the complex gear train are calculated using the Lewes and Hertz equation. Evaluating the results with the data of the allowable bending and compressive stress from the stress and number of cycles curves of the gears verified the calculated specifications of the complex gear train. A computer structure analysis is performed with the 3D model of the planetary and helical gears to analyze the structure strength of the complex gear train. The results demonstrate that the durability and strength of the complex gear train are safe, because the safety factors of the bending and compressive stresses are more than 1.0.

• Journal of Korean Neurosurgical Society
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• 제66권5호
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• pp.525-535
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• 2023

Objective : We performed an expanded multi-ethnic meta-analysis to identify associations between inflammation-related loci with intracranial aneurysm (IA) susceptibility. This meta-analysis possesses increased statistical power as it is based on the most data ever evaluated. Methods : We searched and reviewed relevant literature through electronic search engines up to August 2022. Overall estimates were calculated under the fixed- or random-effect models using pooled odds ratio (OR) and 95% confidence intervals (CIs). Subgroup analyses were performed according to ethnicity. Results : Our meta-analysis enrolled 15 studies and involved 3070 patients and 5528 controls including European, Asian, Hispanic, and mixed ethnic populations. Of 17 inflammation-related variants, the rs1800796 locus (interleukin [IL]-6) showed the most significant genome-wide association with IA in East-Asian populations, including 1276 IA patients and 1322 controls (OR, 0.65; 95% CI, 0.56-0.75; p=3.24#x00D7;10^-9) under a fixed-effect model. However, this association was not observed in the European population (OR, 1.09; 95% CI, 0.80-1.47; p=0.5929). Three other variants, rs16944 (IL-1β), rs2195940 (IL-12B), and rs1800629 (tumor necrosis factor-α) showed a statistically nominal association with IA in both the overall, as well as East-Asian populations (0.01<p<0.05). Conclusion : Our updated meta-analysis with increased statistical power highlights that rs1800796 which maps on the IL-6 gene is associated with IA, and in particular confers a protective effect against occurrence of IA in the East-Asian population.

• KDI Journal of Economic Policy
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• 제32권4호
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• pp.115-151
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• 2010

본 논문은 대학의 연구활동을 특허라는 창을 통하여 들여다보고자 하였다. 특허인용정보가 있는 미국 특허를 이용하여 우리나라의 대학 특허를 기업 특허와 대비시켜 대학 특허의 특성을 분석하였다. 일반적으로 기업 특허와 대학 특허는 전자는 전유성(appropriability) 측면에서 그리고 후자는 기초성(basicness) 측면에서 차이가 있는 것으로 본다. 그런데 기초성 측면에서 우리나라 대학 특허는 기업 특허와 크게 두드러진 차이를 보이지 않는 것으로 나타났다. 다음으로 특허인용함수모형을 이용하여 특허의 질 또는 수준을 기업과 대학 사이에 비교해 보았다. 기업 특허는 자체인용이 상당수 포함되어 있는데, 이를 감안하면 전방인용에 있어서는 대학 특허와 기업 특허는 큰 차이를 보이지 않는 것으로 나타났다. 자체인용 비중이 높을수록 특허의 전유성 정도가 높은 경향이 있다는 선행연구를 상기하면, 기업 특허의 전유성 정도가 높게 나오는 것을 확인할 수도 있었다. 미국과 유럽을 대상으로 한 선행연구에서는 대학 특허가 대체로 기업 특허와 비교하여 인용빈도 측면에서 뒤지지 않는 것으로 분석되고 있다. 외국의 대학 특허 분석결과와 본 논문의 우리나라 대학 특허 분석결과를 대비시키면, 우리나라 대학 특허는 전반적인 수준이나 영향력 측면에서는 기업 특허에 미치지 못하며, 이는 우리나라대학의 특허활동이 최근에야 활성화된 데 기인한 것으로 추론된다. 이러한 분석 결과는 향후 대학의 연구수준을 제고하기 위한 노력을 보다 체계화해야 한다는 것을 시사하며, 최근 진행되고 있는 정부의 기초연구 정책방향 전환이나 대학 내의 자체적인 개혁 움직임을 간접적으로 지지한다. 정부의 정책 전환과 함께 학내의 개선 노력이 합치되면 향후 우리나라 대학의 특허인용도 및 영향력이 훨씬 높아지게 될 것으로 기대할 수 있다.

• 대한화학회지
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• 제47권4호
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• pp.391-400
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• 2003

본 연구는 제6차 교육과정에서 강조한 탐구활동을 탐구내용, 탐구과정, 탐구상황의 3차원 분석틀을 이용하여 화학II 교과서를 분석하였다. 그 결과, 탐구활동의 탐구내용을 보면, 각 교과서마다 탐구활동이 관찰, 실험, 측정, 토의, 자료해석, 기본조작 등의 다양한 용어로 분류되어 있으며, 교과서마다 분류 기준에 다소 차이가 있었다. 각 교과서의 탐구내용에 수록된 탐구활동의 수는, 7개 교과서 모두 25개에서 35개 정도로 수록되어 있었다. 각 교과서의 탐구내용에 있는 탐구활동의 평균수는 각 단원에서 적게는 10${\%}$에서 많게는 30${\%}$로 분포되어 있었다. 또한 탐구과정 영역은 평균적으로 ''관찰 및 측정''이 가장 많았고, 그 다음으로 ''자료해석 및 일반화'', ''문제발견 및 해결방안'', ''이론모델셩성, 검증 및 수정''의 순서로 나타났다. 그리고 탐구상황 영역은 과학적 상황요소가 90.5%로 가장 많은 부분을 차지하였고, 그 외에 개인적 상황요소, 사회적 상황요소, 기술적 상황요소가 약 5%를 차지하였다. 이러한 분석으로부터 볼 때, STS(과학-기술-사회)의 상호관련성을 강조한 내용이 아직은 매우 미흡한 것으로 나타났다.

• Journal of Ginseng Research
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• 제39권3호
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• pp.230-237
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• 2015

Background: Colorectal cancer (CRC) is a leading cause of death worldwide. Chronic gut inflammation is recognized as a risk factor for tumor development, including CRC. American ginseng is a very commonly used ginseng species in the West. Methods: A genetically engineered $Apc^{Min/+}$ mouse model was used in this study. We analyzed the saponin composition of American ginseng used in this project, and evaluated its effects on the progression of high-fat-diet-enhanced CRC carcinogenesis. Results: After oral ginseng administration (10-20 mg/kg/d for up to 32 wk), experimental data showed that, compared with the untreated mice, ginseng very significantly reduced tumor initiation and progression in both the small intestine (including the proximal end, middle end, and distal end) and the colon (all p < 0.01). This tumor number reduction was more obvious in those mice treated with a low dose of ginseng. The tumor multiplicity data were supported by body weight changes and gut tissue histology examinations. In addition, quantitative real-time polymerase chain reaction analysis showed that compared with the untreated group, ginseng very significantly reduced the gene expression of inflammatory cytokines, including interleukin-$1{\alpha}$ (IL-$1{\alpha}$), IL-$1{\beta}$, IL-6, tumor necrosis factor-${\alpha}$, granulocyte-colony stimulating factor, and granulocyte-macrophage colony-stimulating factor in both the small intestine and the colon (all p < 0.01). Conclusion: Further studies are needed to link our observed effects to the actions of the gut microbiome in converting the parent ginsenosides to bioactive ginseng metabolites. Our data suggest that American ginseng may have potential value in CRC chemoprevention.

• 대한지역사회영양학회지
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• 제20권5호
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• pp.351-361
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• 2015

Objectives: The purpose of this study was to investigate the relations between diabetic dietary compliance and dietary intake, physical activity and prevalence of metabolic syndrome (MS) in type 2 diabetic patients. Methods: Seventy five subjects diagnosed with type 2 diabetes visiting the D hospital in Dongducheon from May 2014 to Dec 2014 were included in this study. The subjects were divided into two groups according to their diabetic dietary compliance score (median 39); low diabetic dietary compliance (LDDC) group (n=44) and high diabetic dietary compliance (HDDC) group (n=31). Survey data collection was carried out by direct interview method. The nutrient intake, food intake and KDDS (Korean's dietary diversity score), DVS (dietary variety score) and GMVDF (grain, meat, vegetable, dairy and fruit) were analyzed using data from the 24-recall method. Metabolic parameters were obtained from the hospital records. Data was analyzed using Chi-square test and general linear model adjusted for sex. Results: The prevalence of MS was 59.7% in the participating diabetic patients. The prevalence of MS of the HDDC (39.3%) was significantly lower than that of the LDDC (72.7%). The distribution of physical activity showed a significant difference between the groups (p=0.006). The intakes of seeds and nuts of the HDDC were significantly lower than those of the LDDC. Fat and vegetable fat intakes and % fat of energy in the HDDC were significantly lower than those in the LDDC. But, carbohydrate (CHO) and potassium intake and %CHO of energy in the HDDC were significantly higher than those in the LDDC. KDDS and GMVDF showed significant differences between groups (p=0.033; p=0.012). Conclusions: Continuous intervention by specialized nutritionists for long-term self-regulation is needed for diabetic patients, and the high compliance to diabetic diet and increasing physical activity may be effective in the prevention of metabolic syndrome.