• Proceedings of the Korean Vacuum Society Conference
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• 1998.02a
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• pp.109-109
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• 1998

최근 들어 MOCVD 법으로 성장시킨 GaN, InGaN, AIGaN를 이용한 광소자 ( (LED, LD)와 전자소자(FET, MODFET)에 대한 관심이 고조되면서, MOCVD 법 을 이용한 GaN 중심의 질화물 반도체 성장에 관심이 집중되고 있다. 금번 실험에 사용된 MOCVD 장비는 수직형 MOCVD 장비이다. 특히, wafer c carner를 1$\alpha$)() rpm이상의 고속으로 회전시킬 수 있는 장치로서 원료 가스의 반웅 기 내에서의 흐름을 균일하게 하여 uniformity가 높은 질화물 반도체를 성장시킬 수 있다 .. GaN 에피충은 c-plane 사파이어를 기판으로 하여 11 00 "C 이상의 고온 에서 수소를 이용하여 기판을 cleaning하고, 500 "C 부근에서 핵생성충올 성장시 킨 후 1050 "C에서 trimethylgallium(TMGa)과 NI-h를 이용하여 성장시켰다. n n -GaN를 성장시키기 위해서는 SiH4을 사용하였으며, InGaN의 경우는 t trimethylindium(TMIn)을 In원 료 가스로 하여 635 - 725 "C 범 위 에 서 성 장시 켰 다. 성 장된 undoped GaN, n-GaN, InGaN는 X -ray di잔raction(XRD), H떠l m measurement, Photoluminescence(PU동올 이용하여 결정성과 전기적 및 광학적 특성올 고찰하였다 .. 2ttm 두께로 성장된 undoped G값V박막의 경우 Hall 측정결과 6 6 X lOI6/e며 정도의 낮은 도핑 농도를 보였으며, V!lII ratio(2500 - 5000)증가에 따라 결정성이 향상됨을 GaN (102)면의 X -ray e -rocking분석올 통하여 확인하 였다 .. n-GaN의 경우 SiH4양올 3 - 13 sccm으로 증가시킴에 따라 n -type 도명농 도가 선형적으로 증가하였고, 1017/c며 범위 내로 도평이 된 경우 상온에서 300 e마 N Ns 이상의 high mobility를 얻올 수 있었다 .. PL 관측 결과로부터 Si 도핑으로 인 하여 GaN bandedge emission이 강화됨을 알 수 있었다 .. InGaN 박막의 경우 성 장온도를 낮춤에 따라서 m의 양을 증가시킬 수 있었다. 또한 유량비(TMIn I T TMGa)가 1에 가까운 경 우에서도 온도를 635 "C 정도로 낮훈 경우 410 nm정도에 서 PL bandedge peak올 얻을 수 있었으며, 이 때의 반치폭은 50 meV정도의 낮 은 값을 보였다. 반치폭은 50 meV정도의 낮 은 값을 보였다.

• Journal of Korea Water Resources Association
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• v.37 no.1
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• pp.67-75
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• 2004

In this study, real-time forecasting model(Neural Dam Inflow Forecasting Model; NDIFM) based on neural network to predict the dam inflow which is occurred by flood runoff is developed and applied to check its availability for the operation of multi-purpose reservoir Developed model Is applied to predict the flood Inflow on dam Nam-Gang in Nak-dong river basin where the rate of flood control dependent on reservoir operation is high. The input data for this model are average rainfall data composed of mean areal rainfall of upstream basin from dam location, observed inflow data, and predicted inflow data. As a result of the simulation for flood inflow forecasting, it is found that NDIFM-I is the best predictive model for real-time operation. In addition, the results of forecasting used on NDIFM-II and NDIFM-III are not bad and these models showed wide range of applicability for real-time forecasting. Consequently, if the quality of observed hydrological data is improved, it is expected that the neural network model which is black-box model can be utilized for real-time flood forecasting rather than conceptual models of which physical parameter is complex.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.23 no.5
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• pp.393-400
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• 2011

The mass transport is very complicated at the area which has the macro tide and complex geometry such as Gyeonggi bay. Especially, the long period current has a strong influence on the estuarine ecosystem and the long-term distribution of substances. The long period current is caused by several external forcing, whose unique characteristic varies spatially and temporally. The variation characteristics of long period current is analysed and its generation mechanism is studied. The tidal nonlinear constituents such as overtide and compound tide are generated due to nonlinear interaction and it causes mean sea level setup. The tidal wave propagating up into estuary is transformed rapidly by decrease of cross-sectional area and depth. Therefore the mean sea level is getting rise toward upriver. The high and low tide level is similar between down-river(Incheon) and up-river(Ganghwa) during neap tide when the tidal deformation is decreased. The tidal phase difference between two tidal stations causes a periodic fluctuation of sea level difference. The low water level of Ganghwa station during spring tide does not descend under EL(-)2.5 m, but the low water level of Incheon fall down under EL(-)4.0 m. The variation of tidal range and its sea level are increased during spring tide. It is found that the long period current $M_{sf}$ is quite similar to that of sea level difference between the two tidal stations. It means that the sea surface inclination caused by the spatial difference of tidal deformation is important forcing for the generation of long period current.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.27 no.1
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• pp.38-49
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• 2015

Past study of tsunami heavily relied on the numerical modelling using 2D Boussinesq Eq. and Solitary wave. Lately, based on the fact that numerically simulated run up heights based on solitary wave are somewhat smaller than the measured one, Leading Depression N (LDN) Wave has been elaborated, which can account the advancement of a shore line before tsunami strikes a shore. Thereafter it is reported that more accurate simulation can be possible once LDN is deployed. On the other hand, there were numerous reports indicating that stable LDN wave can't be sustained in the hydraulic model test. These conflicts between the hydraulic model tests and numerical results have their roots on the assumption made in the derivation of Boussinesq type wave model such as that wave nonlinearity is equally balanced with wave dispersiveness. Hence, in the numerical simulation based on the Boussinesq type wave model, wave dispersiveness is inevitably underestimated, especially in deep water. Based on this rationale, we developed the modified methodology for the generation of stable LDN wave in the 3D numerical wave flume, and proceeded to numerically analyze the depression effect of Hybrid Breaker on the run up height due to tsunami using the Navier Stoke Equation. The verification of newly proposed wave model in this study was carried out using the run up height from the hydraulic model test. It was shown that Hybrid Breaker consisting of three water chamber and slope at its front can reduce 13% of run up height for H = 5m, and 10% of run up height for H = 6m.

• Journal of Korea Water Resources Association
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• v.54 no.spc1
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• pp.1095-1105
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• 2021

The advancement of dam operation is further required due to the upcoming rainy season, typhoons, or torrential rains. Besides, physical models based on specific rules may sometimes have limitations in controlling the release discharge of dam due to inherent uncertainty and complex factors. This study aims to forecast the water level of the nearest station to the dam multi-timestep-ahead and evaluate the availability when it makes a decision for a release discharge of dam based on LSTM (Long Short-Term Memory) of deep learning. The LSTM model was trained and tested on eight data sets with a 1-hour temporal resolution, including primary data used in the dam operation and downstream water level station data about 13 years (2009~2021). The trained model forecasted the water level time series divided by the six lead times: 1, 3, 6, 9, 12, 18-hours, and compared and analyzed with the observed data. As a result, the prediction results of the 1-hour ahead exhibited the best performance for all cases with an average accuracy of MAE of 0.01m, RMSE of 0.015 m, and NSE of 0.99, respectively. In addition, as the lead time increases, the predictive performance of the model tends to decrease slightly. The model may similarly estimate and reliably predicts the temporal pattern of the observed water level. Thus, it is judged that the LSTM model could produce predictive data by extracting the characteristics of complex hydrological non-linear data and can be used to determine the amount of release discharge from the dam when simulating the operation of the dam.

• Geophysics and Geophysical Exploration
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• v.19 no.1
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• pp.1-10
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• 2016

The hypocenter distribution of microseismic events generated by hydraulic fracturing for shale gas development provides essential information for understanding characteristics of fracture network. In this study, we evaluate how inaccurate velocity models influence the inversion results of two widely used location programs, hypoellipse and hypoDD, which are developed based on an iterative linear inversion. We assume that 98 stations are densely located inside the circle with a radius of 4 km and 5 artificial hypocenter sets (S0 ~ S4) are located from the center of the network to the south with 1 km interval. Each hypocenter set contains 25 events placed on the plane. To quantify accuracies of the inversion results, we defined 6 parameters: difference between average hypocenters of assumed and inverted locations, $d_1$; ratio of assumed and inverted areas estimated by hypocenters, r; difference between dip of the reference plane and the best fitting plane for determined hypocenters, ${\theta}$; difference between strike of the reference plane and the best fitting plane for determined hypocenters, ${\phi}$; root-mean-square distance between hypocenters and the best fitting plane, $d_2$; root-mean-square error in horizontal direction on the best fitting plane, $d_3$. Synthetic travel times are calculated for the reference model having 1D layered structure and the inaccurate velocity model for the inversion is constructed by using normal distribution with standard deviations of 0.1, 0.2, and 0.3 km/s, respectively, with respect to the reference model. The parameters $d_1$, r, ${\theta}$, and $d_2$ show positive correlation with the level of velocity perturbations, but the others are not sensitive to the perturbations except S4, which is located at the outer boundary of the network. In cases of S0, S1, S2, and S3, hypoellipse and hypoDD provide similar results for $d_1$. However, for other parameters, hypoDD shows much better results and errors of locations can be reduced by about several meters regardless of the level of perturbations. In light of the purpose to understand the characteristics of hydraulic fracturing, $1{\sigma}$ error of velocity structure should be under 0.2 km/s in hypoellipse and 0.3 km/s in hypoDD.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.7 no.2
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• pp.176-197
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• 1995

Two-dimensional and three-dimensional structures of tidal currents on southeastern waters of Korea off Kyungnam coast were investigated via a series of numerical models based on dynamic principles. With a two-dimensional tidal model, tidal regimes of major eight tidal constituents (M$_2$, S$_2$, K$_1$, O$_1$, N$_2$, K$_2$, P$_1$, Q$_1$) were computed. Model results showed that the computed results were in good agreement with coastal observations. On the basis of these results the model was further improved to compute three-dimensional structure of tidal current in inner Jinhai and Masan Bay regions of the model area where severe pollutions occur due to red tide by combination of the previous two-dimensional model and inner three-dimensional model. For this work, three-dimensional Galerkin-Spectral model and two-dimensional depth-integrated model are dynamically combined by the method presented by Davies (1980). In addition to the previous work by Davies, the advective term and quadratic bottom friction term are included in present Three-dimensional numerical model. The computed results of M$_2$ tidal current ellipses with respect to depth showed general agreements with those of current observations by KORDI (1990).

• Proceedings of the Korean Vacuum Society Conference
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• 1999.07a
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• pp.96-96
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• 1999

CdTe는 일반적으로 광전 소자나 Xtjs 및 λ선 감지 소자로서 많은 연구가 되어지고 있는 물질이다. 특히 적외선 감지 소자로 쓰이고 있는 HgCdTe 물질의 기판으로서도 많은 연구가 진행되고 있다. 이러한 여러 가지 목적으로 사용함에 있어서 CdTe 내에 가지고 있는 여러 가지 불순물에 의한 영향으로 각종 결함밴드들이 형성됨으로서 소자로서의 응용에 많은 지장을 주고 있다. 이러한 이유로 여러 가지 방법으로 불순물 및 결합에 의한 준위에 관한 연구들이 진행되고 있다. 본 실험에서는 MBE 법으로 성장된 In 도핑된 CdTe 박막의 광학적 성질을 관찰하기 위하여 수소화 및 열처리를 하여 PL 법을 이용하여 관찰하여 보앗다. 열처리는 Cd 분위기의 50$0^{\circ}C$에서 5시간 동안 수행하였으며 수소화는 rf plasma 장치를 이용하여 8$0^{\circ}C$에서 50mW/c2의 출력으로 1시간동안 수행하여 주었다. 열처리한 시료의 경우 PL 신호는 갓 성장한 시료와 비교하여 깊은 준위에 관련된 신호들만 변화가 있었을뿐 그리 큰 변화가 있지는 않았다. 그러나 수소화시킨 시료의 경우 전체적으로 피크의 크기가 5배정도 감소하는 것을 볼 수 있었는데 이것은 수소에 의하여 passivation된 효과로 볼 수 있다. 정량적인 passivation 효과를 보기 위하여 온도의존성 PL 측정을 하여 보았다. 측정에서 관측된 (D,h) emission lines의 FWHM을 비교하여 본 결과 FWHM 온도가 증가함에 따라 선형적으로 증가하는 것이 아니라 급격한 증가를 q이는 구간을 관착할 수 있었다. 이것은 CdTe내에 존재하는 전하를 띠고 있는 주게와 받게의 결합의 결과로 나타나는 현상으로 보여진다. 이러한 결과를 통하여 얕은 준위에 있는 주게 불순물의 농도를 계산해 보았고 Hall 측정을 얻은 결과와 비교하여 보았다.판단된다. 따라서 이 기술은 기존의 광소자 제작을 위한 IFVD 방법의 문제점을 해결할 뿐만 아니라 결정 재성장 없이 도일한 기판상에 국부적으로 상이한 bandgap 영역을 만들 수 있기 때문에 광소자 제작에 적극 이용될 수 있다.나지 않았으며 BST 박막에서는 약 1.2V의 C-V이력현상이 보였다.를 이용하였으며, 이온주입후 열처리 온도에 따른 활성화 정도의 관찰을 위하여 4-point probe와 Hall measurement를 이용하였다. 증착된 다결정 SiGe의 두게를 nanospec과 SEM으로 분석한 결과 Gem이 함량이 적을 때는 높은 온도에서의 증착이 더 빠른 증착속도를 나타내었지만, Ge의 함량이 30% 되었을 때는 온도에 관계없이 일정한 것으로 나타났다. XRD 분석을 한 결과 Peak의 위치가 순수한 Si과 순수한 Ge 사이에 존재하는 것으로 나타났으며, ge 함량이 많아짐에 따라 순수한 Ge쪽으로 옮겨가는 경향을 보였다. SEM, ASFM으로 증착한 다결정 SiGe의 morphology 관찰결과 Ge 함량이 높은 박막의 입계가 다결정 Si의 입계에 비해 훨씬 큰 것으로 나타났으며 근 값도 증가하는 것으로 나타났다. 포유동물 세포에 유전자 발현벡터로써 사용할 수 있음으로 post-genomics시대에 다양한 종류의 단백질 기능연구에 맡은 도움이 되리라 기대한다.다양한 기능을 가진 신소재 제조에 있다. 또한 경제적인 측면에서도 고부가 가치의 제품 개발에 따른 새로운 수요 창출과 수익률 향상, 기존의 기능성 안료를 나노(nano)화하여 나노 입자를 제조, 기존의 기능성 안료에 대한 비용 절감 효과등을 유도 할 수 있다. 역시 기술적인 측면에서도 특수소재 개발에 있어 최적의 나노 입자 제어기술 개발 및 나노입자를 기능성 소재로 사용하여 새로운 제품의 제조와 고압 기상 분사기술의 최적화에 의한 기능성 나노 입자 제조 기술을 확립하고 2차 오염 발생원인 유

• Journal of Korean Society for Geospatial Information Science
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• v.8 no.1 s.15
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• pp.51-63
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• 2000

Dynamic traffic assignment(DTA) has been a topic of substantial research during the past decade. While DTA is gradually maturing, many aspects of DTA still need improvement, especially regarding its formulation and solution algerian Recently, with its promise for In(Intelligent Transportation System) and GIS(Geographic Information System) applications, DTA have received increasing attention. This potential also implies higher requirement for DTA modeling, especially regarding its solution efficiency for real-time implementation. But DTA have many mathematical difficulties in searching process due to the complexity of spatial and temporal variables. Although many solution algorithms have been studied, conventional methods cannot iud the solution in case that objective function or constraints is not convex. In this paper, the genetic algorithm to find the solution of DTA is applied and the Merchant-Nemhauser model is used as DTA model because it has a nonconvex constraint set. To handle the nonconvex constraint set the GENOCOP III system which is a kind of the genetic algorithm is used in this study. Results for the sample network have been compared with the results of conventional method.