• International Journal of Naval Architecture and Ocean Engineering
• /
• 제7권2호
• /
• pp.227-243
• /
• 2015

In this paper, the effects of nonlinear soft clay on dynamic embedment of offshore pipeline were investigated. Seabed embedment by pipe-soil interactions has impacts on the structural boundary conditions for various subsea structures such as pipeline, riser, pile, and many other systems. A number of studies have been performed to estimate real soil behavior, but their estimation of seabed embedment has not been fully identified and there are still many uncertainties. In this regards, comparison of embedment between field survey and existing empirical models has been performed to identify uncertainties and investigate the effect of nonlinear soil parameter on dynamic embedment. From the comparison, it is found that the dynamic embedment with installation effects based on nonlinear soil model have an influence on seabed embedment. Therefore, the pipe embedment under dynamic condition by nonlinear parameters of soil models was investigated by Dynamic Embedment Factor (DEF) concept, which is defined as the ratio of the dynamic and static embedment of pipeline, in order to overcome the gap between field embedment and currently used empirical and numerical formula. Although DEF through various researches is suggested, its range is too wide and it does not consider dynamic laying effect. It is difficult to find critical parameters that are affecting to the embedment result. Therefore, the study on dynamic embedment factor by soft clay parameters of nonlinear soil model was conducted and the sensitivity analyses about parameters of nonlinear soil model were performed as well. The tendency on dynamic embedment factor was found by conducting numerical analyses using OrcaFlex software. It is found that DEF was influenced by shear strength gradient than other factors. The obtained results will be useful to understand the pipe embedment on soft clay seabed for applying offshore pipeline designs such as on-bottom stability and free span analyses.

• 사상체질의학회지
• /
• 제25권1호
• /
• pp.51-61
• /
• 2013

Objectives We performed the simultaneous analysis for three compounds in Cheongsimyeonja-tang (CSYJT) and evaluated its anti-obesity effect. Methods The column for separation of three compounds was used Gemini $C_{18}$ column and maintained at $40^{\circ}C$. The mobile phase for gradient elution consisted of two solvent systems. The analysis was carried out at a flow rate of 1.0 mL/min with PDA detection at 275 nm. The injection volume was $10{\mu}L$. 3T3-L1 preadipocytes were differentiated into adipocytes by adding insulin, dexamethasone and 3-isobutyl-1-methylxanthine (IBMX) for 8 days in the absence or presence of CSYJT. Anti-obesity effects of CSYJT were evaluated by Oil Red O staining, glycerol-3-phosphate dehydrogenase (GPDH) activity, triglyceride contents, and leptin production. Results Calibration curves were acquired with $r^2$ >0.9999. The contents of baicalin, wogonoside and baicalein in CSYJT were 14.54-14.65 mg/g, 5.24-5.27 mg/g and 0.01-0.02 mg/g, respectively. CSYJT showed inhibitory effect on lipid accumulation and GPDH activity in the differentiated 3T3-L1 cells. Furthermore, CSYJT significantly decreased contents of triglyceride and leptin production in 3T3-L1 adipocytes. Conclusions These results will be helpful to improve quality control and anti-obesity effect of Taeeumin CSYJT.

• 산업경영시스템학회지
• /
• 제43권2호
• /
• pp.48-55
• /
• 2020

Recently, a study of prognosis and health management (PHM) was conducted to diagnose failure and predict the life of air craft engine parts using sensor data. PHM is a framework that provides individualized solutions for managing system health. This study predicted the remaining useful life (RUL) of aeroengine using degradation data collected by sensors provided by the IEEE 2008 PHM Conference Challenge. There are 218 engine sensor data that has initial wear and production deviations. It was difficult to determine the characteristics of the engine parts since the system and domain-specific information was not provided. Each engine has a different cycle, making it difficult to use time series models. Therefore, this analysis was performed using machine learning algorithms rather than statistical time series models. The machine learning algorithms used were a random forest, gradient boost tree analysis and XG boost. A sliding window was applied to develop RUL predictions. We compared model performance before and after applying the sliding window, and proposed a data preprocessing method to develop RUL predictions. The model was evaluated by R-square scores and root mean squares error (RMSE). It was shown that the XG boost model of the random split method using the sliding window preprocessing approach has the best predictive performance.

• 한국통신학회논문지
• /
• 제22권8호
• /
• pp.1698-1706
• /
• 1997

본 논문은 2차원 정보, 3차원 정보 그리고 그 밖의 각종 유용한 정보를 취합하여 이를 상호 보완하여 인식하는 멀티미디어 시스템 중의 한 부분으로 이중 3차원 정보를 추출하고 정합 하는 방법을 제안하고자 한다. 우선 거리 영상으로부터 z축 기울기를 이용하여 표면 분류를 행하고 법선 벡터들의 교점을 통해 각 표면들에 대한 특징을 추출한다. 또한 각 표면들로 부터 이루는 각이나 거리등과 같은 특징 관계를 설정한다. 이후 정합 과정을 통해 인식을 수행하게 되는데 정합 과정은 영상인식의 최종 단계로 대단히 중요한 과정중의 하나가 된다. 왜냐하면 멀티미디어 시스템은 각종 정보를 취합하여 정합 과정을 수행해야 하기 때문에 취합한 모든 정보를 보다 보편적이고 효율적으로 정합하는 방법론의 제시가 중요하기 때문이다. 따라서 본 논문에서는 정합 과정 수행에 필요한 보편적 방법론의 제안에 초점을 맞추고자 하며 이중 우선 3차원 물체의 정합과정에 대해 다루고자 한다. 이를 위해 롤이론을 적용하여 유사도를 측정하며 이를 퍼지 관계 행렬을 구성하여 인식을 수행한다. 최종적으로 실험에 의해 본 논문의 유용성을 입증하고자 한다.

• Journal of Pharmaceutical Investigation
• /
• 제28권1호
• /
• pp.25-33
• /
• 1998

Intestinal absorption of ${\beta}-lactam$ antibiotics and angiotensin converting enzyme(ACE) inhibitors has been shown to use the carrier-mediated transport system. In vitro experiments have established that the efficacy of uptake by enterocytes depends on an inwardly directed proton gradient. It was suggested that benazepril was mediated by tripeptide transport system and that amoxicillin was transported by dipeptide transport carrier. The aim of this study is to assess the influence of amoxicillin on the intestinal absorption of benazepril using in vitro diffusion chamber and in situ single pass perfusion technique in the rat in order to elucidate whether the above transport systems are competitive or not. We obtained the gastrointestinal pemeability coefficient of amoxicillin, benazepril and both of them using in vitro diffusion chamber. And also the gastrointestinal absorption clearance of amoxicillin, benazepril and both of them using in situ single-pass perfusion method at steady state were calculated. Amoxicillin and benazepril were analyzed by HPLC. The results by the use of diffusion chamber in vitro indicated that the apparent intestinal permeability coefficient of benazepril was significantly(p<0.01) decreased by amoxicillin(45.2%) and vice versa significantly(p<0.01) decreased(89.1%). The results by the in situ gastrointestinal single-pass perfusion method indicated that the intestinal absorption clearance of benazepril was significantly(p<0.05) decreased by amoxicillin (40.2%) and vice versa significantly(p<0.05) decreased(54.8%). These results might suggest that they share the same peptide carrier pathway for oral absorption.

• 스마트미디어저널
• /
• 제6권3호
• /
• pp.15-20
• /
• 2017

최근 자동차 산업은 IT 기술을 접목하여 운전자에게 편의를 제공하기 위한 운전자 보조 시스템에 관한 연구가 진행되고 있다. 본 논문에서는 차선 이탈 방지 및 자율 주행에 적용 가능한 도로상태 변화에 강인한 차선 검출 방법을 제안한다. 제안하는 방법은 Otsu 임계값 결정 방법과 가우시안 필터와 에지를 통한 후보 영역 검출 방법을 이용한다. 또한, 허프 변환을 통한 차선의 기울기와 폭 정보를 이용하여 차선을 검출한다. 실선뿐만 아니라 점선 차선 검출을 위해 기존에 검출된 차선 정보를 이용하여 다음 프레임에서 차선이 위치할 경로를 계산해 가상의 차선을 그려주는 방법을 제안한다. 제안하는 알고리즘은 실선과 점선상황에서 차선 검출이 모두 가능했고 오픈소스 하드웨어인 라즈베리 파이 2에 적용할 경우 실시간 처리가 가능함을 확인했다.

• Transactions on Electrical and Electronic Materials
• /
• 제14권2호
• /
• pp.78-81
• /
• 2013

$0.95(Na_{0.5}K_{0.5})NbO_3-0.05BaTiO_3+0.2wt%\;Ag_2O$ (hereafter, No excess NKN) ceramics and $0.95(Na_{0.5}K_{0.5})NbO_3-0.05BaTiO_3+0.2wt%\;Ag_2O$ with excess $(Na_{0.5}K_{0.5})NbO_3$ (hereafter, Excess NKN) were fabricated by the conventional solid state sintering method, and their phase transition properties and dielectric properties were investigated. The crystalline structure of No excess NKN ceramics and Excess NKN ceramics were shown characteristics of polymorphic phase transition (hereafter, PPT), especially shift from the orthorhombic to tetragonal phase by increasing sintering temperature range from $1,100^{\circ}C$ to $1,200^{\circ}C$. Also, the temperature coefficient of capacitance (hereafter, TCC) of No excess NKN ceramics and Excess NKN ceramics from $-40^{\circ}C$ to $100^{\circ}C$ was measured to evaluate temperature stability for applications in cold regions. The TCC of No excess NKN and Excess NKN ceramics showed positive TCC characteristics at a temperature range from $-40^{\circ}C$ to $100^{\circ}C$. Especially, Excess NKN showed a smaller TCC gradient than those of Excess NKN ceramics in range from $-40^{\circ}C$ to $100^{\circ}C$. Therefore, NKN piezoelectric ceramics combined with temperature compensated capacitor having negative temperature characteristics is desired for usage in cold regions.

• 한국지하수토양환경학회지:지하수토양환경
• /
• 제8권1호
• /
• pp.9-16
• /
• 2003

동전기 정화기술을 이용한 오염토양 정화시에 단점으로 지적되는 $10^{+}$에 의한 전기삼투 흐름의 유속 저하와 $OH^{-}$에 의한 중금속의 침전 현상을 감소시키기 위하여 새로운 방법이 제시되었다. 이는 양극과 음극의 전해질을 직접 순환시킴으로서 양극과 음극의 전해질 pH를 조절하여 동전기 정화기술을 적용한 토양 정화시에 오염토양 복원을 위한 조업기간의 연장, 전기경사 증가율의 감소, 그리고 대상 중금속인 납 제거율을 향상시킬 수가 있었다. 이는 전해질의 pH 조절을 통하여 토양 pH를 조절함으로써 가능하였다. 또한 전해질 순환공정을 적용할 경우 유출수가 발생하지 않아 일반적으로 동전기 정화기술의 적용시의 단점으로 지적되는 유출수의 2차 처리에 대한 문제점을 해결하였으며, 유출수의 발생이 제거됨에 따라 조업시에 사용되는 전해질의 사용량 또한 획기적으로 감소시킬 수가 있었다.

• 생약학회지
• /
• 제46권2호
• /
• pp.160-166
• /
• 2015

Yijung-tang (YJT) is a traditional herbal formula comprising 4 medicinal herbs. In the present study, we performed the simultaneous analysis for three compounds of YJT and examined anti-allergic effects in vitro. The column for separation of three compounds was used Gemini C18 column and maintained at 40$^{\circ}C$. The mobile phase for gradient elution consisted of two solvent systems. To evaluate Th2 chemokines, YJT was treated into tumor necrosis factor (TNF)-${\alpha}$ and interferon (IFN)-${\gamma}$-stimulated HaCaT cells, and performed ELISA for thymus and activation regulated chemokine (TARC) and regulated on activation, normal T-cell expressed and secreted (RANTES). To measure Th2 cytokines, YJT was added into primary mouse splenocytes, and performed ELISA for interleukin (IL)-4, 5, 13. Calibration curves were acquired with r² >0.9999. The contents of liquiritin, glycyrrhizin, and 6-gingerol in YJT were 4.50 mg/g, 11.10 mg/g, and 1.33 mg/g, respectively. YJT inhibited production of TARC and RANTES in TNF-${\alpha}$ and IFN-${\gamma}$-treated HaCaT cells. YJT also reduced production of IL-4, 5, and 13 in primary mouse splenocytes. In conclusion, our data will be a valuable information to improve quality control and anti-allergic effects of YJT.

• 상하수도학회지
• /
• 제34권1호
• /
• pp.35-43
• /
• 2020

Turbidity has various effects on the water quality and ecosystem of a river. High turbidity during floods increases the operation cost of a drinking water supply system. Thus, the management of turbidity is essential for providing safe water to the public. There have been various efforts to estimate turbidity in river systems for proper management and early warning of high turbidity in the water supply process. Advanced data analysis technology using machine learning has been increasingly used in water quality management processes. Artificial neural networks(ANNs) is one of the first algorithms applied, where the overfitting of a model to observed data and vanishing gradient in the backpropagation process limit the wide application of ANNs in practice. In recent years, deep learning, which overcomes the limitations of ANNs, has been applied in water quality management. LSTM(Long-Short Term Memory) is one of novel deep learning algorithms that is widely used in the analysis of time series data. In this study, LSTM is used for the prediction of high turbidity(>30 NTU) in a river from the relationship of turbidity to discharge, which enables early warning of high turbidity in a drinking water supply system. The model showed 0.98, 0.99, 0.98 and 0.99 for precision, recall, F1-score and accuracy respectively, for the prediction of high turbidity in a river with 2 hour frequency data. The sensitivity of the model to the observation intervals of data is also compared with time periods of 2 hour, 8 hour, 1 day and 2 days. The model shows higher precision with shorter observation intervals, which underscores the importance of collecting high frequency data for better management of water resources in the future.