• 대한의용생체공학회:의공학회지
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• 제28권4호
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• pp.471-476
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• 2007

Various active microwave imaging techniques have been developed for cancer detection for past several decades. Both the microwave tomography and the UWB radar techniques, constituting functional microwave imaging systems, use the electrical property contrast between normal tissues and malignancies to detect the latter in an early development stage. Even though promising simulation results have been reported, the understanding of the functional microwave imaging diagnostics has been relied heavily on the complicated numerical results. We present a computationally efficient and physically instructive analytical electromagnetic wave channel models developed for functional microwave imaging system in order to detect especially the breast tumors as early as possible. The channel model covers the propagation factors that have been examined in the previous 2-D models, such as the radial spreading, path loss, partial reflection and transmission of the backscattered electromagnetic waves from the tumor cell. The effects of the system noise and the noise from the inhomogeneity of the tissue to the reconstruction algorithm are modeled as well. The characteristics of the reconstructed images of the tumor using the proposed model are compared with those from the confocal microwave imaging.

• 한국정보통신학회논문지
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• 제9권2호
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• pp.229-236
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• 2005

이 논문은 신호 f(t)의 실제적인 스케일 정보를 나타내는 웨이브렛 플랜을 중심으로 연속 웨이브렛 역변환의 특성에 대하여 논하였다. 웨이브렛 변환에 비해 역변환의 적용이 상대적으로 미비한 이유는 수치적인 연산의 복잡성에 기인한 것이며, 이 논문은 웨이브렛 역변환의 안정된 복원을 위한 방법에 대하여 연구하였다. 웨이브렛 역변환의 안정적인 구현은 신호 f(t)에 대한 실제적인 스케일 정보를 지니고 있는 웨이브렛 플랜이라는 새로운 "시간-스케일" 공간을 통하여 실현하였으며, 이는 완전한 멀티 필터 뱅크 시스템과 동일한 특성을 나타낸다. 즉 연속 웨이브렛 변환을 통해 신호 f(t)의 모든 스케일 성분을 독립적으로 주파수 전체 대역에 걸쳐 분산하고 다시 역변환을 통해 원래의 신호를 복원하는 과정은 필터뱅크이론의 분석과 합성과정과 일치한다 이 논문에서는 연속 웨이브렛 역변환을 이용하여 "시간-스케일" 필터를 통한 신호 f(t)의 스케일 분해와 웨이브렛 멀티 필터 뱅크이론에 대하여 논하였다.

• KIEE International Transactions on Power Engineering
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• 제4A권1호
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• pp.33-41
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• 2004

Knowledge of partial discharge (PD) is important to accurately diagnose and predict the condition of insulation. The PD phenomenon is highly complex and seems to be random in its occurrence. This paper indicates the possible use of chaos theory for the recognition and distinction concerning PD signals. Chaos refers to a state where the predictive abilities of a systems future are lost and the system is rendered aperiodic. The analysis of PD using deterministic chaos comprises of the study of the basic system dynamics of the PD phenomenon. This involves the construction of the PD attractor in state space. The simulation results show that the variance of an orthogonal axis in an attractor of chaos theory increases according to the magnitude and the number of PDs. However, it is difficult to clearly identify the characteristics of the PDs. Thus, we calculated the magnitude on an orthogonal axis in an attractor using singular value decomposition (SVD) and principal component analysis (PCA) to extract the numerical characteristics. In this paper, we proposed the condition monitoring method for gas insulated switchgear (GIS) using SVD for efficient calculation of the variance. Thousands of simulations have proven the accuracy and effectiveness of the proposed algorithm.

• Kyungpook Mathematical Journal
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• 제57권2호
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• pp.211-222
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• 2017

In this paper, we consider three inverse eigenvalue problems for a special type of acyclic matrices. The acyclic matrices considered in this paper are described by a graph called a broom on n + m vertices, which is obtained by joining m pendant edges to one of the terminal vertices of a path on n vertices. The problems require the reconstruction of such a matrix from given partial eigen data. The eigen data for the first problem consists of the largest eigenvalue of each of the leading principal submatrices of the required matrix, while for the second problem it consists of an eigenvalue of each of its trailing principal submatrices. The third problem has an eigenvalue and a corresponding eigenvector of the required matrix as the eigen data. The method of solution involves the use of recurrence relations among the leading/trailing principal minors of ${\lambda}I-A$, where A is the required matrix. We derive the necessary and sufficient conditions for the solutions of these problems. The constructive nature of the proofs also provides the algorithms for computing the required entries of the matrix. We also provide some numerical examples to show the applicability of our results.

• 한국해양공학회지
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• 제16권1호
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• pp.8-15
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• 2002

This paper presents a neural net based nonlinear adaptive controller for an autonomous underwater vehicle (AUV). AUV's dynamics are highly nonlinear and their hydrodynamic coefficients vary with different operational conditions, so it is necessary for the high performance control system of an AUV to have the capacities of learning and adapting to the change of the AUV's dynamics. In this paper a linearly parameterized neural network is used to approximate the uncertainties of the AUV's dynamic, and the basis function vector of network is constructed according to th AUV's physical properties. A sliding mode control scheme is introduced to attenuate the effect of the neural network's reconstruction errors and the disturbances in AUV's dynamics. Using Lyapunov theory, the stability of the presented control system is guaranteed as well as the uniformly boundedness of tracking errors and neural network's weights estimation errors. Finally, numerical simulations for motion control of an AUV are performed to illustrate the effectiveness of the proposed techniques.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2000년도 춘계학술대회논문집A
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• pp.345-350
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• 2000

Adaptive finite element analysis, which its solution error meets with the user defined allowable error, is recently used far improving reliability of finite element analysis results. This adaptive analysis is composed of two procedures; one is the error estimation of an analysis result and another is the reconstruction of finite elements. In the rp-method, an element size is controlled by relocating of nodal positions(r-method) and the order of an element shape function is determined by the hierarchical polynomial(p-method) corresponding to the element solution error. In order to show the effectiveness and accuracy of the suggested rp-method, various numerical examples were analyzed and these analysis results were examined by comparing with those obtained by the existed methods. As a result of this study, following conclusions are obtained. (1) rp-method is more accurate and effective than the r- and p-method. (2) The solution convergency of the rp-method is controlled by means of the iterative calculation numbers of the r- and p- method each other.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.33-36
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• 2007

We have persistently constructed gridded products of surface wind/wind stress over the world ocean using satellite scatterometer (ERS and Qscat). They are available for users as the Japanese Ocean Flux data sets with Use of Remote sensing Observation (J-OFURO) data together with heat flux components. Recently, a new version data of the Qscat/SeaWinds based on improved algorithm for rain flag and high wind-speed range have been delivered, and allowed us to reconstruct gridded product with higher spatial resolution. These products are validated by comparisons with in-situ measurement data by mooring buoys such as TAO/TRITON, NDBC and the Kuroshio Extension Observation (KEO) buoys, together with numerical weather prediction model products such as the NCEP-1 and 2. Results reveal that the new product has almost the same magnitude in mean difference as the previous version of Qscat product and much smaller than the NCEP-1 and 2. On the other hand, it is slightly larger root-mean-square (RMS) difference than the previous one and NCEPs for the comparison using the KEO buoy data. This may be due to the deficit of high wind speed data in the buoy measurement. The high resolution product, together with sea surface temperature (SST) one, is used to examine a new type of relationship between the lower atmosphere and upper ocean in the Kuroshio Extension region.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권11호
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• pp.4604-4622
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• 2015

It is not easy to reconstruct the geometrical characteristics of the distorted images captured by the devices. One of the most popular optimization methods is fast iterative shrinkage/ thresholding algorithm. In this paper, to deal with its approximation error and the turbulence of the decrease process, an adaptive proximal conjugate gradient (APCG) framework is proposed. It contains three stages. At first stage, a series of adaptive penalty matrices are generated iterate-to-iterate. Second, to trade off the reconstruction accuracy and the computational complexity of the resulting sub-problem, a practical solution is presented, which is characterized by solving the variable ellipsoidal-norm based sub-problem through exploiting the structure of the problem. Third, a correction step is introduced to improve the estimated accuracy. The numerical experiments of the proposed algorithm, in comparison to the favorable state-of-the-art methods, demonstrate the advantages of the proposed method and its potential.

• 대한기계학회논문집
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• 제16권9호
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• pp.1654-1668
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• 1992

본 연구에서는 경험적으로 측정점 사이의 간격과 구경의 크기를 정하는 방법 에 대하여 살펴보았다.이에 반하여 둘러싸기 오차(wraparound error)는 이산화된 파수 성분 데이타의 처리 과정에서 발생하게 되는데, 이를 줄이기 위한 방법의 일환으 로 본 논문에서는 제로패딩(zero padding)방법을 도입하였다. 또한 둘러싸기 오차 (wraparound error)의 크기를 정량화하여 신뢰할 수 있는 예측결과의 범위를 살펴보았 다.

• 한국측량학회지
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• 제6권1호
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• pp.25-34
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• 1988

수치지형모형(DTM)은 지형정보자료를 취득하는 표본추출과 지형을 기하학적으로 재현, 묘사하는 보간법의 두가지 기본요소로 구분된다. 이들은 지형의 형태에 따라 영향을 받으며, 지형의 불규칙성이라는 측면에서 볼 때 후자보다는 전자에 더 비중을 둔다. DTM 평가의 가장 중요한 요소는 정확성과 효율성이며 표본추출과정은 위 두가지 요소에 영향을 주며 특히 지성선의 지형정보는 DTM의 정확성에 크게 영향을 준다. 본 연구에서는 밀도증가식 표본추출법을 중심으로 지성선 지형정보를 이에 첨가함으로써 효율적이며 정확도가 높은 DTM 자료와 기술을 얻고자 하였다. 이를 위해서 총 240가지의 독립된 수치 비교시험이 실시되었으며 적절한 전산프로그램도 개발되었다. 연구결과 지성선 정보를 첨가했을 경우 효율성은 조금 떨어지나 정확도에서 약 30% 향상됨을 알 수 있었다.