• 제목/요약/키워드: Descent

검색결과 791건 처리시간 0.029초

적응 뉴로 퍼지 추론 시스템을 이용한 고임피던스 고장검출 (Detection of High Impedance Fault Using Adaptive Neuro-Fuzzy Inference System)

  • 유창완
    • 한국지능시스템학회논문지
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    • 제9권4호
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    • pp.426-435
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    • 1999
  • A high impedance fault(HIF) is one of the serious problems facing the electric utility industry today. Because of the high impedance of a downed conductor under some conditions these faults are not easily detected by over-current based protection devices and can cause fires and personal hazard. In this paper a new method for detection of HIF which uses adaptive neuro-fuzzy inference system (ANFIS) is proposed. Since arcing fault current shows different changes during high and low voltage portion of conductor voltage waveform we firstly divided one cycle of fault current into equal spanned four data windows according to the mangnitude of conductor voltage. Fast fourier transform(FFT) is applied to each data window and the frequency spectrum of current waveform are chosen asinputs of ANFIS after input selection method is preprocessed. Using staged fault and normal data ANFIS is trained to discriminate between normal and HIF status by hybrid learning algorithm. This algorithm adapted gradient descent and least square method and shows rapid convergence speed and improved convergence error. The proposed method represent good performance when applied to staged fault data and HIFLL(high impedance like load)such as arc-welder.

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채터링 감소를 위한 적응 퍼지 슬라이딩 모드 제어기의 설계 (Design of Adaptive Fuzzy Sliding Mode Controller for Chattering Reduction)

  • 서삼준;김동원;박귀태
    • 한국지능시스템학회논문지
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    • 제14권6호
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    • pp.752-758
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    • 2004
  • 본 논문에서는 고전적인 슬라이딩 모드 제어에서 단점으로 나타나는 채터링을 감소시키고 도달 시간을 줄이기 위한 적응 퍼지 슬라이딩 모드 제어기를 제안하였다. 전문가의 경험이나 직관에 주로 의존하는 제어 규칙의 획득을 쉽게 하기 위해 최대 경사법을 이용하여 슬라이딩 모드 조건이 만족되면서 채터링 현상을 줄이기 위한 제어 규칙의 결론부 파라미터를 수정하는 적응 알고리즘을 제안하였다. 제안된 알고리즘은 고전적인 가변 구조 제어 시스템의 장점인 외란, 매개변수 변화와 불확실성에 둔감한 성질을 그대로 간직하고 있다. 제안한 알고리즘의 유용성을 보이기 위해 도립 진자 시스템에 적용한 결과 채터링 감소와 빠른 응답 특성을 얻을 수 있다.

태양광 컨버터 시스템의 과도응답 개선을 위한 비선형 적응제어 및 안정성 해석 (Nonlinear Adaptive Control and Stability Analysis for Improving Transient Response of Photovoltaic Converter Systems)

  • 조현철;유수복;이권순
    • 제어로봇시스템학회논문지
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    • 제15권12호
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    • pp.1175-1183
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    • 2009
  • In photovoltaic(PV) generator systems, DC-DC converters are significantly considered for control system performance in power quality point of view. This paper presents a novel adaptive control method for DC-DC converters applied in PV generator systems. First, we derive a state-space average model of the converter system and then propose a reset control methodology to enhance transient response performance for time-varying PV systems. For estimating parameters of a reset control, a gradient descent optimization is utilized and an adjustment rule of them are derived respectively. An objective of the optimization is that characteristic equation of an augmented system model which is formed with an converter system model and an reset control is to trace a predefined polynomial given as a reference characteristic model. Next, we accomplish stability analysis by means of a well-known Lyapunov theory for nonlinear converter systems including time-varying voltage excitation from a PV generator. Numerical simulation demonstrates reliability of our control methodology and its superiority by comparison to a traditional control strategy.

소아에서 변형 Sistrunk술식을 적용한 갑상성 설관낭종의 치료성적 (Results of Modified Sistrunk Operation in Thyroglossal Duct cyst : a Review of 81 Cases)

  • 이경근;정풍만
    • Advances in pediatric surgery
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    • 제7권2호
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    • pp.137-141
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    • 2001
  • Thyroglossal duct cyst is ectodermal remnant, which may develop along the line of descent of the thyroid gland from the foramen cecum of the tongue to the pyramidal lobe of the thyroid gland. Meticulous dissection of the cyst and duct, along with the body of the hyoid bone is necessary to avoid recurrence. Eighty-one patients with thyroglossal duct cyst treated at Hanyang University Hospital between January 1980 and December 2000 were reviewed to determine the incidence and to analyze the result of management. The male-to-female ratio was 1.4:1(47:34) with a male preponderance. They are most commonly present at 3-8years(54.2 %) of age, but rarely present at infancy. The most common symptom was a painless midline neck mass(76.5 %, 62cases). Eighty-one patients underwent modified Sistrunk operation without evidence of recurrence. Eight-nine percent(72 cases) of these lesions were located between thyroid substance and hyoid bone, and 11 %(9 cases) were above the hyoid bone. There were 22 infected cysts(27.2 %). The Sistrunk operation is a gold standard for treating the thyroglossal duct cysts. For best results in thyroglossal duct cyst surgery, one should make every effort to remove the cyst intact in continuity with the body of the hyoid bone. In our institute, Sistrunk operation modified by the authors showed a good result.

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원형 단순 확장소음기의 성능향상을 위한 입.출구 위치의 최적설계 (Optimum Design for Inlet and Outlet Locations of Circular Expansion Chamber for Improving Acoustic Performance)

  • 안세진;김봉준;정의봉
    • 대한기계학회논문집A
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    • 제24권10호
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    • pp.2487-2495
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    • 2000
  • The acoustic characteristics of expansion chamber will be changed with the variation of inlet/outlet location due to the higher order acoustic mode in a high frequency in which the plane wave theory is not available. In this paper, the acoustic performance of reactive type expansion chamber with circular cross-section is analyzed by using the modified mode matching theory. The sensitivity analysis of four-pole parameters with respect to the location of inlet and outlet is also suggested to increase the acoustic performance. The acoustic power transmission coefficient is used as cost function, and the location of inlet and outlet is used as design variables. The steepest descent method and SUMT algorithm are used for optimization technique. Several results showed that the expansion chamber with optimally located inlet/outlet had better acoustic performance than concentric expansion chamber.

유행성(流行性) 출혈열환자(出血熱患者)의 Radio Renogram ($^{131}I$-O-Iodohippurate Renogram in Epidemic Hemorrhagic Fever)

  • 김명재
    • 대한핵의학회지
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    • 제1권2호
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    • pp.75-84
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    • 1967
  • $^{131}I$-labeled-O-iodohippurate renograms in 15 cases of epidemic hemorrhagic fever(E.H. fever)during oliguric, diuretic and convalescent phase were analysed quantitatively and qualitatively, namely by its configuration, Tmax T 1/2 and renal index of Hirakawa. The results were as following: 1) Changes on the renograms in E.H. fever showed simultaneous bilateral renal impairment. 2) The characteristic configurations of renogram in the oliguric phase were: (1) Moderately decreased absolute amplitude of initial spike. (2) Continous rising second slope. (3) No appearance of terminal descent. Those were mast likely to those of renograms in acute ureteral obstruction or acute dehydration state. 3) During the diuretic phase, the renogram showed the point of maximal amplitude, but the steepness of 2nd slope was markedly decreased. The appearance of terminal descents was observed with unusually high amplitude despite of the tremendously large amount of urinary output during this phase. 4) In convalescence, the renograms were essentially normal in configuration, but the renal index of Hirakawa was not recovered until this phase. 5) Renograms in E.H. fever showed the characteristic patterns in each phase of its clinical course. 6) $^{131}I$-OIH-Renogram might be an useful method for the evaluation of renal function in E.H. fever during its course.

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지능구조물 제어를 위한 적응형 PPF 제어기의 개발 (Development of the Adaptive PPF Controller for the Vibration Syppression of Smart Structures)

  • 이승범;허석;곽문규
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2001년도 춘계학술대회논문집
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    • pp.302-307
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    • 2001
  • This research is concerned with the development of a real-time adaptive PPF controller for the active vibration suppression of smart structure. In general, the tuning of the PPF controller is carried out off-line. In this research, the real-time learning algorithm is developed to find the optimal filter frequency of the PPF controller in real time and the efficacy of the algorithm is proved by implementing it in real time. To this end, the adaptive algorithm is developed by applying the gradient descent method to the predefined performance index, which is similar to the method used popularly in the optimization and neural network controller design. The experiment was carried out to verify the validity of the adaptive PPF controller developed in this research. The experimental results showed that adaptive PPF controller is effective for active vibration control of the structure which is excited by either impact or harmonic disturbance. The filter frequency of the PPF controller can be tuned in a very short period of time thus proving the efficiency of the adaptive PPF controller.

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공기유입구 위치에 따른 유입공기의 풍속이 배연시스템 성능효율에 미치는 영향 연구 (The Analysis on the Effect of Supply Air Velocities by Location of Supply Air Damper on the Performance Efficiency of the Smoke Exhaust Systems)

  • 여용주;임채현;김학중;김범규;박용환
    • 한국화재소방학회논문지
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    • 제24권6호
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    • pp.20-27
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    • 2010
  • 배연설비는 연기를 배출한 만큼 공기가 유입되도록 계획된다. 이때 유입공기의 속도가 배연에 어떠한 영향을 미치는지를 FDS를 통하여 분석하였다. 그 결과 화재의 위치로부터 급기구가 가까이 설치된 경우 화재 플럼으로 유입되는 기류속도가 빨라져 상승하는 화재 플럼을 흩트려 버리는 현상이 일어남을 발견하였다. 그로인해 배연성능이 저하되어 연기층의 강하가 더욱 빠르게 촉진되었으며 흐트러진 화재 플럼은 연기층을 교란시켜 가시거리를 더욱 나쁘게 하였다. 따라서 공기유입구의 위치는 화재의 위치로부터 충분히 이격된 위치에 설치하여 화재 플럼으로의 유입공기속도를 낮추도록 하여야 배연효율이 좋아진다는 것을 확인하였다.

확률적 근사법과 후형질과 알고리즘을 이용한 다층 신경망의 학습성능 개선 (Improving the Training Performance of Multilayer Neural Network by Using Stochastic Approximation and Backpropagation Algorithm)

  • 조용현;최흥문
    • 전자공학회논문지B
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    • 제31B권4호
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    • pp.145-154
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    • 1994
  • This paper proposes an efficient method for improving the training performance of the neural network by using a hybrid of a stochastic approximation and a backpropagation algorithm. The proposed method improves the performance of the training by appliying a global optimization method which is a hybrid of a stochastic approximation and a backpropagation algorithm. The approximate initial point for a stochastic approximation and a backpropagation algorihtm. The approximate initial point for fast global optimization is estimated first by applying the stochastic approximation, and then the backpropagation algorithm, which is the fast gradient descent method, is applied for a high speed global optimization. And further speed-up of training is made possible by adjusting the training parameters of each of the output and the hidden layer adaptively to the standard deviation of the neuron output of each layer. The proposed method has been applied to the parity checking and the pattern classification, and the simulation results show that the performance of the proposed method is superior to that of the backpropagation, the Baba's MROM, and the Sun's method with randomized initial point settings. The results of adaptive adjusting of the training parameters show that the proposed method further improves the convergence speed about 20% in training.

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Topological Derivative를 이용한 선형 구조물의 레벨셋 기반 형상 최적 설계 (Level Set Based Shape Optimization of Linear Structures Using Topological Derivatives)

  • 하승현;김민근;조선호
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 2006년도 정기 학술대회 논문집
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    • pp.299-306
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    • 2006
  • Using a level set method and topological derivatives, a topological shape optimization method that is independent of an initial design is developed for linearly elastic structures. In the level set method, the initial domain is kept fixed and its boundary is represented by an implicit moving boundary embedded in the level set function, which facilitates to handle complicated topological shape changes. The 'Hamilton-Jacobi (H-J)' equation and computationally robust numerical technique of 'up-wind scheme' lead the initial implicit boundary to an optimal one according to the normal velocity field while minimizing the objective function of compliance and satisfying the constraint of allowable volume. Based on the asymptotic regularization concept, the topological derivative is considered as the limit of shape derivative as the radius of hole approaches to zero. The required velocity field to update the H -J equation is determined from the descent direction of Lagrangian derived from optimality conditions. It turns out that the initial holes is not required to get the optimal result since the developed method can create holes whenever and wherever necessary using indicators obtained from the topological derivatives. It is demonstrated that the proper choice of control parameters for nucleation is crucial for efficient optimization process.

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