• 한국산업융합학회 논문집
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• 제23권5호
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• pp.717-726
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• 2020

Social costs are increasing in Gangwon-do east coast due to coastal erosion. Long-term coastline change information is essential for analyzing this phenomenon. In this study, aerial photographs immediately after liberation are used for 1950's coastline extraction. The study area is from Sokcho Cheongho beach to Yangyang Seorak beach. The aerial photograph is geometrically corrected using DLT(Direct Linear Transformation) method to extract past coastline and compare it with present data. Coastal erosion and deposition areas are calculated in study area. Artificial structures such as harbors and breakwaters have caused changes in ocean currents and sediments from river estuaries. In most cases, the deposition occurred at the southern area of artificial structures and the erosion occurred on surrounding beaches. Coastline information extracted from past aerial photographs can be useful to provide information on long-term changes.

• 대한공간정보학회지
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• 제12권2호
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• pp.67-71
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• 2004

위성영상의 종류가 증가하고 취득이 용이해 짐에 따라 위성영상을 이용한 수치고도모형의 생성에 관한 연구가 활발히 진행되어 왔다. SPOT의 경우 $60km{\times}60km$에 해당하는 광범위한 지역에 대한 영상을 취득할 수 있어 넓은 지역에 대한 수치고도모형을 생성 할 수 있는 이점이 있다. 기존의 엄밀센서모형(Rigorous Sensor Model)의 경우 위성의 천문력자료(Ephemeris Data)와 지상기준점을 사용하여 복잡한 과정을 거쳐 DEM을 생성하였으나 본 연구에서는 직접선형변환(DLT)에 기반을 둔 대안적 모형화 기법을 이용하여 DEM을 생성해 보았다. 결과적으로 직접선형 변환의 경우 소수의 기준점을 통하여 양호한 품질의 DEM을 취득할 수 있음을 확인 할 수 있었다.

• Journal of information and communication convergence engineering
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• 제13권3호
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• pp.215-219
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• 2015

Cells in a culture process transform with time and produce many overlapping cells in their vicinity. We are interested in a separation algorithm for images of overlapping cells taken using a fluorescence optical microscope system during a cell culture process. In this study, all cells are assumed to have an ellipse-like shape. For an ellipse fitting-based method, an improved least squares method is used by decomposing the design matrix into quadratic and linear parts for the separation of overlapping cells. Through various experiments, the improved least squares method (numerically stable direct least squares fitting [NSDLSF]) is compared with the conventional least squares method (direct least squares fitting [DLSF]). The results reveal that NSDLSF has a successful separation ratio with an average accuracy of 95% for two overlapping cells, an average accuracy of 91% for three overlapping cells, and about 82% accuracy for four overlapping cells.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1988년도 추계학술대회 논문집 학회본부
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• pp.388-393
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• 1988

New circuit D-Q transformation concept is introduced to analyze AC converters such as inverters, rectifiers and cyclo-converters with ease. The equivalent linear time invariant circuit is obtained by substituting switches with equivalent turn-ratio variable transformers and changing balanced AC reactors into equivalent DC reactors combined by gyrators. This circuit enables us to utilize the powerful linear system analysis techniques such as Laplace transform otherwise which could not be applied to the time varying switching systems. Direct substitution of switches of DC converters with transformers is shown as a preliminary. Then the modeling procedure is shown for a controlled rectifier-inverter circuit. Finally an analysis example is proposed for a buck-boost inverter and the result is compared with the conventional approach. This approach is applicable to all AC converter families to determine the AC transfer functions and the DC operating points. It is identified that the switching systems are equivalent to the RLC filter circuits with transformers and gyrators.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 하계학술대회 논문집 D
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• pp.2432-2434
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• 2004

In this paper, we present a novel approach for the structure of Fuzzy Neural Network(FNN) based on wavelet function and apply this network structure to the solution of the tracking problem for mobile robots. Generally, the wavelet fuzzy model(WFM) has the advantage of the wavelet transform by constituting fuzzy basis function(FBF) and the conclusion part to equalize the linear combination of FBF with the linear combination of wavelet functions. However, it is very difficult to identify the fuzzy rules and to tune the membership functions of the fuzzy reasoning mechanism. Neural networks, on the other hand, utilize their learning capability for automatic identification and tuning. Therefore, we design a wavelet based FNN structure(WFNN) that merges these advantages of neural network, fuzzy model and wavelet. To verify the efficiency of our network structure, we evaluate the tracking performance for mobile robot and compare it with those of the FNN and the WFM.

• 대한조선학회지
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• 제24권4호
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• pp.9-18
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• 1987

The hydrodynamic radiation forces acting on a ship travelling in waves have been conventionally treated by strip theories or by direct three dimensional approaches, most of which have been formulated in frequency domain. If the forward speed of a ship varies with time, or if its path is not a straight line, conventional frequency domain analysis can no more be used, and for these cases time domain analysis may be used. In this paper, formulations are made in time domain with applications to some problems the results of which are known in frequency domain. And the results of both domains are compared to show the characteristics and validity of time domain solutions. The radiation forces acting on a three dimensional body within the framework of a linear theory. If the linearity of entire system is assumed, radiation forces due to arbitrary ship motions can be expressed by the convolution integral of the arbitrary motion velocity and the so called impulse response function. Numerical calculations are done for some bodies of simple shapes and Series-60[$C_B=0.7$] ship model. For all cases, integral equation techniques with transient Green's function are used, and velocity or acceleration potentials are obtained as the solution of the integral equations. In liner systems, time domain solutions are related with frequency domain solutions by Fourier transform. Therefore time domain solutions are Fourier transformed by suitable relations and the results are compared with various frequency domain solutions, which show good agreements.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.91-94
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• 2005

A numerical formula that presents relationship between a point of a satellite image and its ground position is called a sensor model. For precise geolocation of satellite images, we need an error-free sensor model. However, the sensor model based on GOES ephemeris data has some error, in particular after Image Motion Compensation (IMC) mechanism has been turned off. To solve this problem, we investigate three sensor models: Collinearity model, Direct Linear Transform (DLT) model and Orbit-based model. We apply matching between GOES images and global coastline database and use successful results as control points. With control points we improve the initial image geolocation accuracy using the three models. We compare results from three sensor models that are applied to GOES-9 images. As a result, a suitable sensor model for precise geolocation of GOES-9 images is proposed.

• 한국전산유체공학회지
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• 제14권1호
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• pp.35-44
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• 2009

To adequately analyze flows in pipe or duct network system, traditional node-based junction coupling methods require the junction loss which is specified by empirical or analytic correlations. In this paper, a new finite volume junction coupling method using a ghost junction cell is developed by considering the interchange of linear momentum as well as the important wall-effect at junction without requiring any correlation on the junction loss. Also, boundary treatment is modified to preserve the stagnation enthalpy across boundaries, such as pipe-end and the interface between junction and branch. Also, the computational accuracy and efficiency of the Godunov-type finite volume schemes are investigated by tracing the total mechanical energy of rapid transients due to sudden closure of valve at downstream end.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제5권2호
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• pp.157-163
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• 2005

In this paper, we present the multimodal system based on the fusion of two user-friendly biometric modalities: Iris and Face. In order to reach robust identification and verification we are going to combine two different biometric features. we specifically apply 2-D discrete wavelet transform to extract the feature sets of low dimensionality from iris and face. And then to obtain Reduced Joint Feature Vector(RJFV) from these feature sets, Direct Linear Discriminant Analysis (DLDA) is used in our multimodal system. In addition, the Synergetic Neural Network(SNN) is used to obtain matching score of the preprocessed data. This system can operate in two modes: to identify a particular person or to verify a person's claimed identity. Our results for both cases show that the proposed method leads to a reliable person authentication system.

• 대한원격탐사학회지
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• 제22권4호
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• pp.285-294
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• 2006

위성영상의 한 점과 그에 대응하는 지상점의 관계를 수학적으로 나타낸 것을 센서모델이라고 한다. 위성영상의 정밀기하보정을 위해서는 오차가 없는 센서모델이 필요하다. 그러나 IMC가 꺼진 상태에서 제공된 GOES-9 궤도 데이터에 기반한 센서모델은 오차가 존재한다. 이러한 문제를 해결하기 위하여 공선 방정식 기반 모델, DLT 기반 모델, 궤도-자세 기반 모델의 세 가지 센서모델에 대하여 실험을 진행하였다. 실험에서는 위성영상과 해안선 데이터베이스를 정합시켜 성공한 결과를 기준점으로 사용하였다. 이렇게 선택된 기준점으로 세 가지 센서모델을 이용하여 GOES-9 영상에 적용시켜 초기 기하보정 정확도를 향상시키고 세 모델간의 정확도를 비교하였다. 최종적으로 궤도-자세 기반 모델이 GOES-9 영상의 정밀기하보정에 가장 적합한 센서 모델임을 증명하였다.