• 제목/요약/키워드: Multi-step method

검색결과 643건 처리시간 0.026초

사구슬롯이 있는 3상 농형 유도 전동기의 인버터 구동시 토오크 특성 및 회전자 바 동손분포 해석 (Analysis of the Torque Characteristics and Loss Distribution of the Rotor Bar of an Inverter-fed Cage Induction Motor with Skewed Slots)

  • 김병택;최병일;박승찬;오경일
    • 대한전기학회논문지:전기기기및에너지변환시스템부문B
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    • 제49권12호
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    • pp.797-806
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    • 2000
  • In this paper, the torque characteristics and the bar loss distribution are analyzed when a general cage induction motor with skewed slots is fed by a 6-step inverter. For the electromagnetic analysis, time-stepping finite element method is used. And the multi-slice technique and sliding surface technique are respectively utilized to consider the skew effect and the rotation of the rotor. As a result, the effects of skewed rotor bar and the inverter output voltage on the characteristics of the torque and bar loss in the rotor are investigated. The simulation results are verified by measurement of flux density distribution axially in the stator teeth.

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기술우선도 결정을 위한 상호영향 계층분석모형의 개발 (Development of a Cross-impact Hierarchical Model for Deciding Technology Priority)

  • 권철신;조근태
    • 한국경영과학회지
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    • 제27권1호
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    • pp.1-17
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    • 2002
  • The objective of this paper is to develop a new priority setting algorithm that considers the cross-impact of the future technology alternatives and that satisfies the final goal of the technology management through multi-hierarchy evaluation criteria. By combining the Analytic Hierarchy Process (AHP) model, which is a well-known priority setting model, and Cross Impact Analysis (CIA) model, which is a technological forecasting method that considers cross-impact among R&D Items, we developed an Integrated Cross-Impact Hierarchical (CIH) model, which sets the priority by considering technological forecasting and technology dependency simultaneously. A step-by-step numerical example of the model developed here is presented as backup of its practicality.

Conceptual Design Based on Scale Laws and Algorithms Sub-critical Transmutation Reactors

  • Lee, Kwang-Gu;Chang, Soon-Heung
    • 한국원자력학회:학술대회논문집
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    • 한국원자력학회 1997년도 추계학술발표회논문집(1)
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    • pp.475-480
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    • 1997
  • In order to conduct the effective integration of computer-aided conceptual design for integrated nuclear power reactor, not only is a smooth information flow required, but also decision making fur both conceptual design and construction process design must be synthesized. In addition to the aboves, the relations between the one step and another step and the methodologies to optimize the decision variables are verified, in this paper especially, that is, scaling laws and scaling criteria. In the respect with the running of the system, the integrated optimization process is proposed in which decisions concerning both conceptual design are simultaneously made. According to the proposed reactor types and power levels, an integrated optimization problems are formulated. This optimization is expressed as a multi-objective optimization problem. The algorithm for solving the problem is also presented. The proposed method is applied to designing a integrated sub-critical reactors.

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Robust Multi-person Tracking for Real-Time Intelligent Video Surveillance

  • Choi, Jin-Woo;Moon, Daesung;Yoo, Jang-Hee
    • ETRI Journal
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    • 제37권3호
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    • pp.551-561
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    • 2015
  • We propose a novel multiple-object tracking algorithm for real-time intelligent video surveillance. We adopt particle filtering as our tracking framework. Background modeling and subtraction are used to generate a region of interest. A two-step pedestrian detection is employed to reduce the computation time of the algorithm, and an iterative particle repropagation method is proposed to enhance its tracking accuracy. A matching score for greedy data association is proposed to assign the detection results of the two-step pedestrian detector to trackers. Various experimental results demonstrate that the proposed algorithm tracks multiple objects accurately and precisely in real time.

디지탈 계산기에 의한 우리나라 154KV계통의 과도안정도 해석 (Analysis of transient stability of 154KV power systems in Korea by digital computer techniques)

  • 한만춘;박상희;김영찬
    • 전기의세계
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    • 제17권4호
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    • pp.18-27
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    • 1968
  • Analysis of the transient stability of power systems following disturbances involves many sets of non-linear differential equations. This paper attempts to analyze the transient stability of multi-machine power systems by the step by step method, using the electronic digital computer. The critical switching times and phase angles for the main 154KV transmission system in Korea, are given from the swing curves of the probable conditions. It is concluded that the system is, in general, stable if the relay is cut off within 12 cycles after the fault. However the fault of DAEGU-SANGJU branch, accompanying much real power, makes the system unstable when the raly is cut off within 4 cycles after fault or automatic voltage regulators are equipped in this branch.

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ARMA 모형선정을 위한 통합된 신경망 시스템의 설계 (Design of An Integrated Neural Network System for ARMA Model Identification)

  • 지원철;송성헌
    • Asia pacific journal of information systems
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    • 제1권1호
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    • pp.63-86
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    • 1991
  • In this paper, our concern is the artificial neural network-based patten classification, when can resolve the difficulties in the Autoregressive Moving Average(ARMA) model identification problem To effectively classify a time series into an approriate ARMA model, we adopt the Multi-layered Backpropagation Network (MLBPN) as a pattern classifier, and Extended Sample Autocorrelation Function (ESACF) as a feature extractor. To improve the classification power of MLBPN's we suggest an integrated neural network system which consists of an AR Network and many small-sized MA Networks. The output of AR Network which will gives the MA order. A step-by-step training strategy is also suggested so that the learned MLBPN's can effectively ESACF patterns contaminated by the high level of noises. The experiment with the artificially generated test data and real world data showed the promising results. Our approach, combined with a statistical parameter estimation method, will provide a way to the automation of ARMA modeling.

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Gate Data Gathering in WiFi-embedded Smart Shoes with Gyro and Acceleration Sensor

  • Jeong, KiMin;Lee, Kyung-chang
    • 한국산업융합학회 논문집
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    • 제22권4호
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    • pp.459-465
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    • 2019
  • There is an increasing interest in health and research on methods for measuring human body information. The importance of continuously observing information such as the step change and the walking speed is increasing. At a person's gait, information about the disease and the currently weakened area can be known. In this paper, gait is measured using wearable walking module built in shoes. We want to make continuous measurement possible by simplifying gait measurement method. This module is designed to receive information of gyro sensor and acceleration sensor. The designed module is capable of WiFi communication and the collected walking information is stored in the server. The information stored in the server is corrected by integrating the acceleration sensor and the gyro sensor value. A band-pass filter was used to reduce the error. This data is categorized by the Gait Finder into walking and waiting states. When walking, each step is divided and stored separately for analysis.

차원축소모델을 활용한 시간에 따른 착빙 형상 예측 연구 (Temporal Prediction of Ice Accretion Using Reduced-order Modeling)

  • 강유업;이관중
    • 한국항공우주학회지
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    • 제50권3호
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    • pp.147-155
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    • 2022
  • 항공기 및 철도차량 운용 중 발생하는 착빙 및 착설 현상은 공력 성능 감소와 주요 부품의 파손을 야기하기 때문에 시간에 따른 얼음 증식을 예측하는 것이 운용 안전 측면에서 매우 중요하다. 결빙수치해석은 실험적 방법에 비해 경제적으로 저렴하고 상사성 문제로부터 자유롭다는 점에서 결빙 형상을 예측하기 위한 수단으로 널리 사용되고 있다. 그러나 결빙수치해석은 착빙노출시간을 multi-step으로 나누어 매 단계별로 정상상태를 가정하는 준정상상태(quasi-steady) 가정을 이용한다. 이러한 방법은 효율적인 해석이 가능하지만 연속적인 결빙 형상을 얻지 못한다는 단점을 가지고 있다. 본 연구에서는 차원축소기법을 활용하여 결빙 형상 데이터를 보간함으로써 시간에 따른 결빙 형상을 연속적으로 예측할 수 있는 모델을 만드는 것을 목적으로 한다. 서로 다른 100개의 결빙 조건에서 형성된 결빙 데이터에 대하여 차원축소모델을 적용하였으며, 학습 데이터의 수와 결빙 조건이 차원축소모델의 예측 오차에 미치는 영향을 분석하였다.

RBF 커널과 다중 클래스 SVM을 이용한 생리적 반응 기반 감정 인식 기술 (Physiological Responses-Based Emotion Recognition Using Multi-Class SVM with RBF Kernel)

  • 마카라 완니;고광은;박승민;심귀보
    • 제어로봇시스템학회논문지
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    • 제19권4호
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    • pp.364-371
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    • 2013
  • Emotion Recognition is one of the important part to develop in human-human and human computer interaction. In this paper, we have focused on the performance of multi-class SVM (Support Vector Machine) with Gaussian RFB (Radial Basis function) kernel, which has been used to solve the problem of emotion recognition from physiological signals and to improve the accuracy of emotion recognition. The experimental paradigm for data acquisition, visual-stimuli of IAPS (International Affective Picture System) are used to induce emotional states, such as fear, disgust, joy, and neutral for each subject. The raw signals of acquisited data are splitted in the trial from each session to pre-process the data. The mean value and standard deviation are employed to extract the data for feature extraction and preparing in the next step of classification. The experimental results are proving that the proposed approach of multi-class SVM with Gaussian RBF kernel with OVO (One-Versus-One) method provided the successful performance, accuracies of classification, which has been performed over these four emotions.

이산형 변수를 이용한 뼈대구조물의 다단계 최적설계 (Multi-Level Optimization for Steel Frames using Discrete Variables)

  • 조효남;민대홍;박준용
    • 한국전산구조공학회논문집
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    • 제15권3호
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    • pp.453-462
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    • 2002
  • 건설공사의 설계와 시공에서 표준화된 이산형 강재단면을 이용하고 있으나, 대부분의 최적화기법에서는 표준강재단면을 사용하기 위해 별도의 이산화 과정을 가지게 되므로 설계결과의 최적성을 보장할 수 없다. 따라서, 본 논문에서는 제안된 알고리즘의 효율성을 높이기 위해 전체구조계와 구조요소계로 나누는 다단계 알고리즘을 적용하였다 수치해석 과정의 효율성과 최적해의 정확성을 예제를 통하여 비교·검토하였다.