• Title/Summary/Keyword: Variable Input

검색결과 1,448건 처리시간 0.029초

광양만권역에서의 자료동화된 대기 유동장이 대기 오염 물질의 확산장에 미치는 영향에 관한 수치모의 (Numerical Simulation of Effects of Atmospheric Flow Fields Using SurFace Observational Data on Dispersion Fields of Air Pollutants in Gwangyang Bay)

  • 이화운;원혜영;최현정;김현구
    • 한국대기환경학회지
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    • 제21권2호
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    • pp.169-178
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    • 2005
  • A critical component of air pollution modeling is the representation of atmospheric flow fields within a model domain, since an accurate air quality simulation requires an accurate portrayal of the three-dimensional wind fields. The present study investigated data assimilation using surface observational data in the complex coastal regions to simulate a realistic atmospheric flow fields. Surface observational data were categorized into three groups (Near coastal region, Far coastal region 1, Far costal region 2) by the locations where the sites are. Experiments were designed according to the location of observational stations and MM5/CALPUFF was used. The results of numerical simulation of atmospheric flow fields are used as input data for CALPUFF which predicts dispersion fields of air pollutants. The result of this study indicated that data assimilation using data in the far coastal region 2 provided an attractive method for generating realistic meteorological fields and dispersion fields of air pollutants in Gwangyang area because data in the near coastal region are variable and narrow representation.

신경회로망을 이용한 복합재료 원통쉘의 하중특성 추론에 관한 연구 (A Study on the Prediction of the Loaded Location of the Composite Laminated Shell by Using Neural Networks)

  • 명창문;이영신;류충현
    • Composites Research
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    • 제14권5호
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    • pp.26-37
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    • 2001
  • 본 연구에서는 복합재료 원통쉘의 구조해석을 통하여 구해진 원통쉘 경사면의 10등분 등간격 9지점의 변형율을 신경회로망의 입력패턴으로 활용하여 원통쉘에 가해진 중격하중 특성을 동시에 추론하였다. 적용된 신경회로망은 Momentum Backpropagation 알고리즘이며, 모멘텀 계수 및 학습율이 학습도에 따라 가변적으로 조정될 수 있도록 프로그램을 개발 적용하였다 Backpropagation 신경회로망의 은닉층은 1층에서 3층까지 별도 프로그램을 개발하여 충격하중 특성추론 학습을 시도하였다. 개발된 신경회로망 프로그램을 적용하여 원통쉘의 충격하중 특성추론 정확도는 1%이내로 학습에 성공하였다. 본 연구 결과 신경회로망을 이용한 복합재료 원통쉘의 충격하중 특성을 추론할 수 있는 역문제 해석이 가능해졌다.

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도로환경 정온화의 실시간 적용을 위한 Co-LMS 알고리즘의 특성 고찰 (A Study on the Co-LMS Algorithm Characteristics of Real-time Applicants for Road Environment Calming)

  • 문학룡;손진근
    • 전기학회논문지P
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    • 제63권3호
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    • pp.157-162
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    • 2014
  • The active noise control(ANC) method for noise problems solution generally uses filtered-X LMS algorithms. However, Filtered-X LMS algorithms were mainly used but these had a limitation that had to measure a transfer function of secondary noise path. However, newly proposed correlation-LMS algorithms have slightly much calculation and are minutely behind performance, these have a advantage not in measuring transfer function onerously so that we can easily adapt these in real time. Thus Co-LMS algorithm was developed to improve the real-time implementation performance under the variable input noise such as road noise environment. In this paper, the performance of the Co-LMS is presented in comparison with that of the Filtered-X LMS algorithm. Simulation results show that active noise control using Co-LMS have slightly much calculation and are minutely behind performance, these have a advantage not in measuring transfer function onerously so that we can easily adapt these in real time.

신경망이론은 이용한 폴리우레탄 코팅포 촉감의 예측 (Using Neural Networks to Predict the Sense of Touch of Polyurethane Coated Fabrics)

  • 이정순;신혜원
    • 한국의류학회지
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    • 제26권1호
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    • pp.152-159
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    • 2002
  • Neural networks are used to predict the sense of touch of polyurethane coated fabrics. In this study, we used the multi layer perceptron (MLP) neural networks in Neural Connection. The learning algorithm for neural networks is back-propagation algorithm. We used 29 polyurethane coated fabrics to train the neural networks and 4 samples to test the neural networks. Input variables are 17 mechanical properties measured with KES-FB system, and output variable is the sense of touch of polyurethane coated fabrics. The influence of MLF function, the number of hidden layers, and the number of hidden nodes on the prediction accuracy is investigated. The results were as follows: MLP function, the number of hidden layer and the number of hidden nodes have some influence on the prediction accuracy. In this work, tangent function, the architecture of the double hidden layers and the 24-12-hidden nodes has the best prediction accuracy with the lowest RMS error. Using the neural networks to predict the sense of touch of polyurethane coated fabrics has hotter prediction accuracy than regression approach used in our previous study.

The Dimmable Single-stage Asymmetrical LLC Resonant LED Driver with Low Voltage Stress Across Switching Devices

  • Kim, Seong-Ju;Kim, Young-Seok;Kim, Choon-Taek;Lee, Joon-Min;La, Jae-Du
    • Journal of Electrical Engineering and Technology
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    • 제10권5호
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    • pp.2031-2039
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    • 2015
  • In the LED lighting industry, the dimming function in the LED lamp is required by demands of many consumers. To drive this LED lighting, various types of power converters have been applied. Among them, an LLC resonant converter could be applied for high power LED lighting because of its high efficiency and high power density, etc. The function of power factor correction (PFC) might be added to it. In this paper, a dimmable single-stage asymmetrical LLC resonant converter is proposed. The proposed converter performs both input-current harmonics reduction and PFC using the discontinuous conduction mode (DCM). Also, the lower voltage stress across switching devices as well as the zero voltage switching (ZVS) in switching devices is realized by the proposed topology. It can reduce cost and has high efficiency of the driver. In addition, the regulation of the output power by variable switching frequency can vary the brightness of a light. In the proposed converter, one of the attractive advantages doesn’t need any extra control circuits for the dimming function. To verify the performance of the proposed converter, simulation and experimental results from a 300W prototype are provided.

PZT-PMNS 세라믹의 공진특성 및 압전 정수의 전계의존성 (The Electric Field Dependence of the Resonance Characteristics and Piezoelectric Constant of the PZT-PMNS Ceramics)

  • 오진헌;임기조;강성화;김현후
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 Techno-Fair 및 합동춘계학술대회 논문집 전기물성,응용부문
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    • pp.179-180
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    • 2008
  • In this paper, the variable tendency piezoelectric constant and resonance characteristics piezoelectric ceramics due to the electric field is studied. The practical application of piezoelectric ceramics is not only applied in field of small signal. For example, in case of an ultrasonic motor, $120{\sim}130Vrms$ of driving voltage is needed and that of an piezoelectric pump, $200{\sim}220Vrms$ of voltage is required. Therefore, to examine the characteristics of piezoelectric ceramics in large signal contributes to reducing the susceptibility to the multifarious application and securing the ease of the production of control circuit. These contributions may be connected to the expansion of industrial application. We fabricated disk-type piezoelectric ceramic samples by using conventional method and measured the resonance characteristics of these samples under from low to high voltage driving conditions. According to increasing the value of the input voltage, we measured the resonance frequency of the piezoelectric ceramic, and inquired into the cause of these phenomena.

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확률론적 하중에 따른 실트질 모래지반 내 지중응력의 변동계수 특성 (The Coefficients of Variation Characteristic of Stress Distribution in Silty Sand by Probabilistic Load)

  • 봉태호;손영환;김성필;허준
    • 한국농공학회논문집
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    • 제54권6호
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    • pp.77-87
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    • 2012
  • Recently, Load and Resistance Factor Design (LRFD) based on reliability analysis has become a global trend for economical and rational design. In order to implement the LRFD, quantification of uncertainty for load and resistance should be done. The reliability of result relies on input variable, and therefore, it is important to obtain exact uncertainty properties of load and resistance. Since soil stress is the main reason causing the settlement or deformation of ground and load on the underground structure, it is essential to clarify the uncertainty of soil stress distribution for accurately predict the uncertainty of load in LRFD. In this study, laboratory model test on silty sand bed under probabilistic load is performed to observe propagation of upper load uncertainty. The results show that the coefficient of variation (COV) of soil stress are varied depending on location due to non-linear relationship between upper load increment and soil pressure increment. In addition, when the load uncertainty is transmitted through ground, COV is decreased by damping effect.

Representing Fuzzy, Uncertain Evidences and Confidence Propagation for Rule-Based System

  • Zhang, Tailing
    • 한국농업기계학회:학술대회논문집
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    • 한국농업기계학회 1993년도 Proceedings of International Conference for Agricultural Machinery and Process Engineering
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    • pp.1254-1263
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    • 1993
  • Representing knowledge uncertainty , aggregating evidence confidences , and propagation uncertainties are three key elements that effect the ability of a rule-based expert system to represent domains with uncertainty . Fuzzy set theory provide a good mathematical tool for representing the vagueness associated with a variable when , as the condition of a rule , it only partially corresponds to the input data. However, the aggregation of ANDed and Ored confidences is not as simple as the intersection and union operators defined for fuzzy set membership. There is, in fact, a certain degree of compensation that occurs when an expert aggregates confidences associated with compound evidence . Further, expert often consider individual evidences to be varying importance , or weight , in their support for a conclusion. This paper presents a flexible approach for evaluating evidence and conclusion confidences. Evidences may be represented as fuzzy or nonfuzzy variables with as associat d degree of certainty . different weight can also be associated degree of certainty. Different weights can also be assigned to the individual condition in determining the confidence of compound evidence . Conclusion confidence is calculated using a modified approach combining the evidence confidence and a rule strength. The techniques developed offer a flexible framework for representing knowledge and propagating uncertainties. This framework has the potention to reflect human aggregation of uncertain information more accurately than simple minimum and maximum operator do.

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Corporate governance and earnings quality: the Iranian evidence

  • Salehi, Mahdi;Asgari, Azadeh
    • 유통과학연구
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    • 제11권6호
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    • pp.5-11
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    • 2013
  • Purpose - The main question in this study is whether there is any relationship between corporate governance variables and earnings quality. The size of the board and audit committee, the number of stockholding managers and non-executive directors, and management quality are considered as independent corporate governance variables in the hypotheses. Research design, data, and methodology - Earnings quality is used as the dependent variable. Input from the abovementioned variables are drawn from 94 listed companies in the Tehran Stock Exchange for the period between 2006 and 2010. Results - This study examines corporate governance aspects such as the size of the board of directors, the number of shares held by the board, the board's independence, and the percentage of non-executive directors. The results show that establishing an audit committee has a significant role in ensuring higher quality reported earnings. Conclusions - The regression statistics output reveals a meaningful relationship between earnings quality and the size of the board of directors, the number of non-executive directors, and the size of the audit committee. This result indicates that improving earnings quality requires that the size of the board of directors be taken into account.

인공위성의 미동현상 제어에 관한 연구 (THE NUTATION DAMPING CONTROL OF A SPACECRAFT)

  • 이창훈
    • Journal of Astronomy and Space Sciences
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    • 제11권2호
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    • pp.281-295
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    • 1994
  • 본 논문에서는 운동량 바이어스 안정화된 인공위성의 능동 미동 제동율 위한 자동 제어기의 설계에 새로운 연속의 스위칭 방정식율 도입한 가변구조 시스댐 이론을 사용하였다. 일반적으로 미동 제동을 갖고 있는 션형화된 다변수 시스템에 가변구조 이론을 적용할 때, 스위칭 이득을 어떻게 결정해야 하는지, 진동 현상과 입력과 상태 궤적에 도달기간을 어떻게 줄여야 하는지 등의 단점을 갖고 있다. 이러한 문제를 해결하기 위해서 본 논문에셔는 슬라이딩 모드를 얻기 위한 불연속의 스위칭 로직 대신에 연속의 스위칭 방정식을 제시하였다. 이 새로운 접근방법은 기존의 가변구조 이론에 의한 방법보다 훨씬 간단하고, 구해진 제어입력이 연속이므로 진동현상이 없으며, 동시에 설계인자를 적절하게 선정하므로써 도달기간을 줄일 수 있게 된다.

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