• International Journal of Aeronautical and Space Sciences
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• 제17권2호
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• pp.184-194
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• 2016

In existing identification methods for on-orbit spacecraft, such as eigensystem realization algorithm (ERA) and subspace method identification (SMI), singular value decomposition (SVD) is used frequently to estimate the modal parameters. However, these identification methods are often used to process the linear time-invariant system, and there is a lower computation efficiency using the SVD when the system order of spacecraft is high. In this study, to improve the computational efficiency in identifying time-varying modal parameters of large spacecraft, a faster recursive algorithm called fast approximated power iteration (FAPI) is employed. This approach avoids the SVD and can be provided as an alternative spacecraft identification method, and the latest modal parameters obtained can be applied for updating the controller parameters timely (e.g. the self-adaptive control problem). In numerical simulations, two large flexible spacecraft models, the Engineering Test Satellite-VIII (ETS-VIII) and Soil Moisture Active/Passive (SMAP) satellite, are established. The identification results show that this recursive algorithm can obtain the time-varying modal parameters, and the computation time is reduced significantly.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권5호
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• pp.1790-1806
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• 2015

Utility-based routing is a special type of routing approach using a composite utility metric when making routing decisions in ad hoc and sensor networks. Previous studies on the utility-based routing all use fixed retry limit and a very simple distance related energy model, which makes the utility maximization less efficient and the implementation separated from practice. In this paper, we refine the basic utility model by capturing the correlation of the transmit power, the retry limit, the link reliability and the energy cost. A routing algorithm based on the refined utility model with adaptive transmit power and retry limit allocation is proposed. With this algorithm, packets with different priorities will automatically receive utility-optimal delivery. The design of this algorithm is based on the observation that for a given benefit, there exists a utility-maximum route with optimal transmit power and retry limit allocated to intermediate forwarding nodes. Delivery along the utility-optimal route makes a good balance between the energy cost and the reliability according to the value of the packets. Both centralized algorithm and distributed implementations are discussed. Simulations prove the satisfying performance of the proposed algorithm.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2002년도 추계학술대회 논문집 Vol.15
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• pp.573-577
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• 2002

A new estimated neural networks are proposed in order to measure nonlinear road environments in realtime. This new neural networks is Error Estimated Neural Networks. The structure of it is similar to recurrent neural networks; a delayed output as the input and a delayed error between the output of plant and neural networks as a bias input. In addition, we compute the desired value of hidden layer by an optimal method instead of transfering desired values by backpropagation and each weights are updated by RLS(Recursive Least Square). Consequently, this neural networks are not sensitive to initial weights and a learning rate, and have a faster convergence rate than conventional neural networks. We can estimate nonlinear models in realtime by the proposed networks and control nonlinear models. To show the performance of this one, we control 7 degree simulation, this controller and driver were proved to be effective to drive a car in the environments of nonlinear road systems.

• 전산구조공학
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• 제9권3호
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• pp.145-155
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• 1996

이 논문은 평면 상의 영역 경계와 조절선(control curve)에 맞추어서 요소망을 자동 생성하는 알고리즘을 제시하는데 목적이 있다. 여기서 제안하는 알고리즘은 요소망 생성 영역의 경계와 조절선들을 하나의 수퍼 루프(super loop)로 연결하고, 루프(loop)위에 있는 두 절점을 연결하는 최소벌점(minimum penalty)의 경로를 따라서 순환적으로 분할하여 요소를 생성하는 기법에 바탕을 두고 있다. 이 방법은 요소망 생성영역의 형상에 제한이 없으며, 모든 과정을 쉽게 자동화 할 수 있기 때문에 복잡한 영역의 요소망을 최소한의 사용자 개입을 통해서 간편하게 처리할 수 있는 프로그램으로 쉽게 이행할 수 있다. 이 알고리즘은 곡면 요소망 생성이나, 적응적 요소망 생성등에 쉽게 확장하여 적용할 수 있다.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2007년도 정기 학술대회 논문집
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• pp.157-162
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• 2007

A new level set based topology optimization employing inner-front creation algorithm is presented. In the conventional level set based topology optimization, the optimum topology strongly depends on the initial level set distribution due to the incapability of inner-front creation during optimization process. In the present work, in this regard, an inner-front creation algorithm is proposed. in which the sizes. shapes. positions, and number of new inner-fronts during the optimization process can be globally and consistently identified by considering both the value of a given criterion for inner-front creation and the occupied volume (area) of material domain. To facilitate the inner-front creation process, the inner-front creation map which corresponds to the discrete valued criterion of inner-front creation is applied to the level set function. In order to regularize the design domain during the optimization process, the edge smoothing is carried out by solving the edge smoothing partial differential equation (PDE). Updating the level set function during the optimization process, in the present work, the least-squares finite element method (LSFEM) is employed. As demonstrative examples for the flexibility and usefulness of the proposed method. the level set based topology optimization considering lightweight design of 3D shell structure is carried out.

• 한국조명전기설비학회지:조명전기설비
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• 제9권2호
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• pp.35-41
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• 1995

본 논문은 대전원 탈락 사고시 계통의 지나친 주파수하락을 방지하기 위하여 주파수하락의 초기변화율을 근거로 하여 적정부하를 차단할 수 있도록 저주파수계전기의 합리적인 정정방법을 제시한다. 본 연구에서의 부하차단 전략은, 주파수가 59.5[Hz]에 이를 때 부하차단 제1단을 일으키고 제1,2단에의 크기가 주파수하락의 초기변화율을 근거하여 주어진 계통외란의 크기인 총 정태부하 차단량의 1/2이되도록 정정하였다. 그 결과 새로 제안한 방법이 주파수 회복특성에 있어서 종래의 방법보다 더 효과적임을 알 수 있다.

• 한국통신학회논문지
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• 제34권7B호
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• pp.721-727
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• 2009

무선 센서 네트워크(WSN)에서는 저가 및 저 전력 센서를 활용하기 때문에 센서의 업무를 성공적으로 수행하면서 적은 에너지를 소모하는 것이 중요한 문제로 부각 된다. 기존의 계층척 WSN 알고리즘들에서 나타나는 제한점은 데이터 진행방향에 대한 역방향 전송이 이루어 질수 있다는 것이다. 본 논문은 데이터 방향성을 고려한 DDACM(Data Direction Aware Clustering Method) 방법을 제안한다. 데이터 역방향 전송 방지를 위해 클러스터헤더는 데이터 전송 방향에서 싱크노드와 가장 가까운 노드가 먼저 임명되고, 에너지 레벨이 일정량 이하 시 클러스터 헤더를 교체하는 방법융 제안한다. 실험을 통하여 LEACH(Low Energy Adaptive Clustering Hierarchy)방식과 비교하여 데이터 역방향 전송올 최소화하여 에너지 소모를 줄일 수 있음을 확인하였다.

• Advances in Computational Design
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• 제1권3호
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• pp.235-251
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• 2016

We have performed a design optimization of a stiffened panel with curvilinear stiffeners using an artificial neural network (ANN) residual kriging based surrogate modeling approach. The ANN residual kriging based surrogate modeling involves two steps. In the first step, we approximate the objective function using ANN. In the next step we use kriging to model the residue. We optimize the panel in an iterative way. Each iteration involves two steps-shape optimization and size optimization. For both shape and size optimization, we use ANN residual kriging based surrogate model. At each optimization step, we do an initial sampling and fit an ANN residual kriging model for the objective function. Then we keep updating this surrogate model using an adaptive sampling algorithm until the minimum value of the objective function converges. The comparison of the design obtained using our optimization scheme with that obtained using a traditional genetic algorithm (GA) based optimization scheme shows satisfactory agreement. However, with this surrogate model based approach we reach optimum design with less computation effort as compared to the GA based approach which does not use any surrogate model.

• 한국전자파학회논문지
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• 제9권1호
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• pp.108-114
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• 1998

본 논문에서는 도파관 E 면 금속삽입 방볍에 의한 밀리미터파 대역통과 여파기의 설계를 위해 모드매칭법에 의해 산란행렬올 계산하여 설계한 여파기의 전달특성을 분석하고, 설계 방법의 타당성 여부 검증을 위해 WR-34 구형 도파관을 사용하여 30.085-30.885 GHz 대역의 대역통과 여파기를 설계, 제작하였다. 설계, 제작된 대역통과 여파기의 전달특성은 모드매칭법에 의한 해석파 거의 일치하게 측정되었으며, 통과대역내 삽입손실은 최대 0 0.8 dB, 반사손실 -15 dB의 우수한 여파특성을 나타냉으로써 도파관 E-면 금속삽입 형태에 의한 밀리미터파용 대역통과 여파기로서의 적합성을 입증하였다.

• Journal of Electrical Engineering and Technology
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• 제13권5호
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• pp.1807-1813
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• 2018

In this paper, the fault line selection and location problems of single line-to-ground (SLG) fault in distribution network are addressed. Firstly, the adaptive filtering property for empirical mode decomposition is formulated. Then in view of the different characteristics showed by the intrinsic mode functions(IMF) under different fault inception angles obtained by empirical mode decomposition, the sign of peak value about the low-frequency IMF and the capacitance transient energy is chosen as the fault line selection criteria according to the different proportion occupied by the low-frequency components. Finally, the fault location is determined based upon the comparison result with adjacent fault passage indicators' (FPI) waveform on the strength of the interaction between the distribution terminal unit(DTU) and the FPI. Moreover, the logic nodes regarding to fault line selection and location are newly expanded according to IEC61850, which also provides reference to acquaint the DTU or FPI's function and monitoring. The simulation results validate the effectiveness of the proposed fault line selection and location methods.