• 대한기계학회논문집A
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• 제26권6호
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• pp.1143-1148
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• 2002

This paper analyses the transient response of a spherical elastic shell located near fee surface and impinged by spherical step-exponential acoustic shock waves. The problem is solved through extension of a method (Huang, 1969) previously formulated for the excitation in an infinite domain, which employs the classical separation of variables, series solutions, and Laplace transform technique The effect of the free surface reflection is taken into account using the image source method. The reflection of the incident wave has been treated by the same image formulation. If the reflection of the pressure field scattered and radiated by the shell is considered, the problem becomes that of multiple scattering by two spheres. However, this is in general negligible considering errors inherent from other sources and that the scattered and radiated pressure waves emanating from the shell are small. Thus, the problem is reduced to that of a structure immersed in an infinite fluid and impinged upon the origin and the image incident.

• Toxicological Research
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• 제20권2호
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• pp.89-100
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• 2004

The comet assay (also called the single-cell gel electrophoresis assay) has been widely used for detecting DNA damage and repair in individual cells. Since the conventional methods of evaluating comet assay data using frequency statistics are unsatisfactory we developed a new quantitative measure of DNA damage/repair that is based on all information residing in the dose/time-response curves of a comet experiment. Blood samples were taken from 25 breast cancer patients before undergoing radiotherapy. The comet assay was performed under alkaline conditions using isolated lymphocytes. Tail DNA, tail length, tail moment and tail inertia of the comet were measured for each patient at four doses of $\gamma$-rays (0, 2, 4 and 8 Gy) and at four time points after irradiation (0, 10, 20 and 30 min) using 100 cells each. The resulting three-dimensional dose-time response surface was modeled by multiple regression, and the second derivative, termed 2D, on dose and time was determined. A software module was programmed in SAS/AF to compute 2D values. We applied the new method successfully to data obtained from cancer patients to be assessed for their radiation sensitivity. We computed the 2D values for the four damage measures, i.e., tail moment, tail length, tail DNA and tail inertia, and examined the pairwise correlation coefficients of 2D both on the log scale and the unlogged scale. 2D values based on tail moment and tail DNA showed a high correlation and, therefore, these two damage measures can be used interchangeably as far as DNA repair is concerned. 2D values based on tail inertia have a correlation profile different from the other 2D values which may reflect different facets of DNA damage/repair. Using the dose-time response surface, other statistical models, e.g., the proportional hazards model, become applicable for data analysis. The 2D approach can be applied to all DNA repair measures, Le., tail moment, tail length, tail DNA and tail inertia, and appears to be superior to conventional evaluation methods as it integrates all data of the dose/time-response curves of a comet assay.

• Industrial Engineering and Management Systems
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• 제4권1호
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• pp.54-67
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• 2005

This paper provides an evaluation of an optimization-based, multiple-input double-output (MIDO) run-to-run (R2R) control scheme for general semiconductor manufacturing processes. The controller in this research, termed adaptive dual response optimizing controller (ADROC), can serve as a process optimizer as well as a recipe regulator between consecutive runs of wafer fabrication. In evaluation, it is assumed that the equipment model could be appropriately described by a pair of second-order polynomial functions in terms of a set of controllable variables. Of practical relevance is to consider a drifting effect in the equipment model since in common semiconductor practice the process tends to drift due to machine aging and tool wearing. We select a typical application of R2R control to chemical mechanical planarization (CMP) in semiconductor manufacturing in this evaluation, and there are five different CMP process scenarios demonstrated, including mean shift, variance increase, and IMA disturbances. For the controller, ADROC, an on-line estimation technique is implemented in a self-tuning (ST) control manner for the adaptation purpose. Subsequently, an ad hoc global optimization algorithm based on the dual response approach, arising from the response surface methodology (RSM) literature, is used to seek the optimum recipe within the acceptability region for the execution of next run. The main components of ADROC are described and its control performance is assessed. It reveals from the evaluation that ADROC can provide excellent control actions for the MIDO R2R situations even though the process exhibits complicated, nonlinear interaction effects between control variables, and the drifting disturbances.

• 농업생명과학연구
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• 제44권6호
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• pp.147-157
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• 2010

현재 저온유통만 허가되어 있으며 저장유통기간이 짧은 게맛어묵에 레토르트 살균기술과 반응표면분석법을 도입하여 기존의 풍미나 품질에 손상됨 없이 상온유통과 장기저장이 가능한 게맛어묵을 제조하기 위하여 가열살균기술의 최적화 조건을 구명하였고, 본 레토르트 살균처리가 게맛어묵의 품질특성에 미치는 영향에 대하여 검토하였다. 반응표면분석의 독립변수는 살균량 ($F_0-value$)과 가열온도로 하였으며, 이들의 영향을 받는 가열살균 후의 품질인자, 즉 종속변수는 전단력, 백색도 및 관능적 조직감으로 나타내었다. 레토르트 살균이 게맛어묵의 품질 및 전반적인 식품성분의 변화에 미치는 영향을 검토한 결과, $F_0-value$ 5분 이하의 가열살균에서는 $F_0-value$보다는 가열온도가 게맛어묵의 품질 변화에 미치는 영향이 큰 것으로 나타났으며, $F_0-value$ 2.6분 이상으로 가열살균할 경우 게맛어묵의 무균성이 확인되었다. 반응표면분석 program으로 설정한 레토르트 게맛어묵의 최적 가열살균조건은 전단력의 경우 가열온도는 $115.7^{\circ}C$, $F_0-value$ 3.3분, 백색도는 가열온도 $116.1^{\circ}C$, $F_0-value$ 3.8분, 그리고 관능적 조직감의 최대화 조건은 가열온도 $115.8^{\circ}C$, $F_0-value$ 3.3분이었고, 이 3가지 품질요소를 모두 고려한 multiple response optimization 반응조건은 가열온도 $117.5^{\circ}C$, $F_0-value$는 3.3분이었다.

• 한국전기전자재료학회논문지
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• 제23권10호
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• pp.782-787
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• 2010

Recently the solution-based thin film technology has often been treated in the field of device fabrication owing to easy process and convenience for the development of various semiconductor devices and sensors. We deposited on glass substrate single-walled carbon nanotubes (SWNTs)/silane hybrid thin films by multiple spray-coating which is one of solution-based processes, and examined their electrical response for humidity. Generally silane binders which are often mixed in carbon nanotube (CNT) solution to adhere CNTs to substrate well form easily each own functionalized group on the surface of CNTs after they are hardened by way of the hydrolysis reaction. In this work, we investigated how silane binders (TEOS (tetraethoxy silane), MTMS (methyltrimethoxysilane) and VTMS (vinyltrimethoxysilane)) in CNT thin films make effect to their electrical response on humidity. As the result, we found that the resistance in the samples using TEOS was changed dramatically while it was almost invariant in the samples using MTMS and VTMS for increasing humidity.

• IMMUNE NETWORK
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• 제12권3호
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• pp.104-112
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• 2012

Silica is one of the most abundant compounds found in nature. Immoderate exposure to crystalline silica has been linked to pulmonary disease and crystalline silica has been classified as a Group I carcinogen. Ultrafine (diameter <100 nm) silica particles may have different toxicological properties compared to larger particles. We evaluated the effect of ultrafine silica nanoparticles on mouse bone marrow-derived dendritic cells (BMDC) and murine dendritic cell line, DC2.4. The exposure of dendritic cells (DCs) to ultrafine silica nanoparticles showed a decrease in cell viability and an induction of cell death in size- and concentration-dependent manners. In addition, in order to examine the phenotypic changes of DCs following co-culture with silica nanoparticles, we added each sized-silica nanoparticle along with GM-CSF and IL-4 during and after DC differentiation. Expression of CD11c, a typical DC marker, and multiple surface molecules such as CD54, CD80, CD86, MHC class II, was changed by silica nanoparticles in a size-dependent manner. We also found that silica nanoparticles affect inflammatory response in DCs in vitro and in vivo. Finally, we found that p38 and NF-${\kappa}B$ activation may be critical for the inflammatory response by silica nanoparticles. Our data demonstrate that ultrafine silica nanoparticles have cytotoxic effects on dendritic cells and immune modulation effects in vitro and in vivo.

• 대한기계학회논문집A
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• 제34권9호
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• pp.1305-1310
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• 2010

복잡한 시스템 계의 설계정보를 효과적으로 추출하기 위해서 형상최적설계가 수행되는 경우, 일반적으로 유한요소해석 기법과 D-최적배열을 이용한 실험계획법이 연동된 반응표면모델을 구성하고 여기에 최적설계기법이 적용된다. 그러나, 설계변수에 형상공차와 같은 변동성이 존재하면 최적해의 강건성 확보를 위하여 설계변수의 형상공차를 확률론적인 변동성으로 고려한 추가적인 강건설계가 필요하다. 본 연구에서는 계산시간이 많이 소요되는 유한요소해석에 의한 강건설계문제에 설계변수의 표준정규분포를 고려한 반응표면모델을 구축하여 최적설계를 수행하므로서 손쉽게 강건최적값을 구하는 방법을 제안하였다. 승용차용 브레이크 디스크에 제안된 방법을 적용하여 열변형과 중량을 최소화하는 설계변수의 강건최적해를 구하고, 몬테카를로 시뮬레이션 추정결과와 비교하여 이의 적합성을 검증하였다.

• 전자공학회논문지CI
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• 제44권4호통권316호
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• pp.28-35
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• 2007

최근 중요한 매핑기술이 된 LiDAR(Light Detection And Ranging)는 다른 수치표고자료 획득 기법에 비해 높은 정확도와 세밀한 밀도를 가지고 있어 3차원 모델링에 필요한 높이정보를 제공한다. 이러한 시스템의 가장 중요한 작업은 디지털화된 리턴 펄스의 모양을 이해하여 수신권내의 반사되어 오는 시간을 측정하여 이와 대응되는 표면 위치를 계산하고 이를 지리좌표와 연결시키는 것이다. 디지털화된 파형(waveform)은 수신권내의 지표 형태에 따라 다른데 처음 발생된 펄스와 같은 단일 모드이거나 수신권내에 여러 표면이 있는 경우 각 반사 표면에 해당하는 여러 모드로 구성된 복잡한 파형일 수 있다. 자료처리 과정에서 반사표면에 대해 일관성 있는 거리측정 지점을 찾기 위해서는 리턴 파장에서 각 모드의 중심위치나 피크 진폭의 위치를 찾아내는 방법이 필요하다. 복잡한 파장의 경우에는 여러 개의 반사지점에 대해 정확한 높이를 계산해 내는 것이 쉽지 않은데 이를 위해 각 모드가 수신권내의 반사 표면에서 레이저 에너지가 반사되는 분포를 나타낸다고 가정하고 리턴 파장을 각 구성 모드로 분해하는 방법이 제안되었다. 이때 분석을 단순화하기 위해 레이저 출력 펄스 모양이 가우시안 분포를 따른다고 가정하고 전체 리턴 파장을 다변량 가우시안(multivariate Gaussian) 분포를 이용하여 분석한다. 여기서는 혼합분포에서 정확한 피크 위치와 half-width와 같이 모형의 파라미터에 대한 추정치를 구하기 위해 EM 알고리즘을 적용하여 MLE 값을 구하였다. 그러나 실제 레이저 고도계에서 얻어진 데이터는 가우시안이 아닌 오른쪽으로 기울어진 분포를 보여주고 있어 응용분야에 따라 정확한 분석이 필요한 경우 이러한 펄스 모양을 고려한 방법이 필요하다. 본 연구에서는 이러한 펄스 모양을 처리하기 위한 새로운 방법론이 제시되어 있다.

• Fisheries and Aquatic Sciences
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• 제17권2호
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• pp.167-173
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• 2014

Surimi (or fish paste) products are one of the most representative processed seafoods in Korea. In a previous study, we evaluated the potential use of rice flour as an agent to replace wheat flour in surimi products. In this study, we optimized the content of rice flour and water in surimi products using response surface methodology. Rice flour content ($X_1$, w/w) and water content ($X_2$, v/w) were chosen as independent variables and gel strength ($Y_1$) and overall acceptance ($Y_2$) as dependent variables. Optimal conditions of $X_1$ and $X_2$ were 14% and 9.1%, respectively, and the predicted values of the multiple response optimal conditions were $Y_1=656.4(g{\cdot}cm)$ and $Y_2=6.34$. Under optimal conditions, the experimental values of $Y_1$ and $Y_2$ were $647.8(g{\cdot}cm)$ and 6.21, respectively, which were similar to the predicted values. Surimi products that are prepared under optimum conditions were similar in gel strength to those of commercial products. However, its sensory evaluation score was higher than that of the commercial products. In conclusion, rice flour can not only be used as an alternative to wheat flour, but it also can be used to improve the quality of surimi products.

• Advances in aircraft and spacecraft science
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• 제6권6호
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• pp.529-550
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• 2019

The effect of multiple process parameters on a set of continuous response variables is, especially in experimental designs, difficult and intricate to determine. Due to the complexity in aeroacoustic and vibroacoustic studies, the often-performed simple one-factor-at-a-time method turns out to be the least effective approach. In contrast, the statistical Design of Experiments is a technique used with the objective to maximize the obtained information while keeping the experimental effort at a minimum. The presented work aims at giving insights on Design of Experiments applied to aeroacoustic and vibroacoustic problems while comparing different experimental designs and approximation models. For this purpose, an experimental rig of a ducted low-pressure fan is developed that allows gathering data of both, aerodynamic and aeroacoustic nature while analysing three independent process parameters. The experimental designs used to sample the design space are a Central Composite design and a Box-Behnken design, both used to model a response surface regression, and Latin Hypercube sampling to model an Artificial Neural network. The results indicate that Latin Hypercube sampling extracts information that is more diverse and, in combination with an Artificial Neural network, outperforms the quadratic response surface regressions. It is shown that the Latin Hypercube sampling, initially developed for computer-aided experiments, can also be used as an experimental design. To further increase the benefit of the presented approach, spectral information of every experimental test point is extracted and Artificial Neural networks are chosen for modelling the spectral information since they show to be the most universal approximators.