• 제목/요약/키워드: Data Characteristic

검색결과 5,012건 처리시간 0.031초

탐색적 요인분석을 이용한 도로특성분류에 관한 연구 (A Study on Road Characteristic Classification using Exploratory Factor Analysis)

  • 조준한;김성호;노정현
    • 대한교통학회지
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    • 제26권3호
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    • pp.53-66
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    • 2008
  • 본 연구는 기존의 도로기능 분류체계를 보완하면서 유형화된 도로구간들의 교통특성을 규명하기 위해 새로운 관점에서 도로특성분류 개념을 정립하였다. 도로특성분류는 교통계획, 교통운영관리 등의 교통전반으로 설계 및 정책을 수립하고 지침을 마련하는데 중요한 판단자료로 이용될 것으로 기대된다. 또한, 도로특성분류를 위해 일반국도 상시지점 조사자료를 토대로 12개의 설명변수를 산출하였으며, 이 설명변수들간의 상호상관을 통한 잠재구조 및 다중공선성 검토, 요인점수를 추출하는 탐색적 요인분석을 수행하였다. 연구 방향은 탐색적 요인분석의 각 실행단계별 접하게 되는 의사결정 문제를 세밀하게 검토하였으며, 각 논점별로 올바른 평가기준 방법을 제시하여 최종적인 종합결론을 도출하였다. 적정 설명변수와 요인 수를 결정하기 위해 10개의 시나리오를 비교분석한 결과, 처음 제시한 12개의 설명변수를 모두 포함한 경우가 가장 우수한 것으로 분석되었으며, 4개의 요인이 가장 적정한 것으로 나타났다. 본 연구결과는 추후에 다양한 분석방법(군집분석, 회귀분석, 판별분석 등)에 있어서 객관적인 입력자료로 사용됨에 따라 보다 정확한 연구결과가 도출될 것으로 기대된다.

도시특성지표 기반 공간개발 패턴 추정에 관한 연구 - 강남지역을 대상으로 - (An Estimation of the Spatial Development Patterns based on the Characteristic City Indicators - The Case of Gangnam District -)

  • 장성만;이창효
    • Spatial Information Research
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    • 제23권3호
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    • pp.23-33
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    • 2015
  • 현재 계획단계에서 구득하여 활용할 수 있는 토지이용 관련 정보는 시도, 시군구, 그리고 읍면동과 같은 집계된 단위의 자료가 주를 이루고 있어, 미시적 공간단위에서의 변화 양상을 파악하기에는 근본적인 한계가 존재한다. 본 연구의 목적은 존 내 물리적 도시특성지표를 바탕으로 공간 개발패턴을 추정하는 방법론을 개발하는데 있다. 본 연구에서는 강남지역을 육각형 픽셀로 분할하고 각 공간분석단위별로 판매 및 업무의 건축물 개발강도를 단계별로 구분하여 도시의 공간적 특성이 판매 및 업무에 어떠한 영향을 미치는가를 다항 로지스틱 회귀분석을 통해 수행하였다. 분석결과 도로와 버스정류장과의 거리가 증가하면 밀도 개발 확률이 감소하며, 수계와의 거리가 증가하면 밀도 개발 확률이 높아짐을 확인하였다. 본 연구의 방법론과 결과물은 도시계획분야에서 집계된 자료를 미시적 공간으로 세분하는 방법론으로 활용될 것으로 판단된다.

The Neural-Network Approach to Recognize Defect Pattern in LED Manufacturing

  • Chen, Wen-Chin;Tsai, Chih-Hung;Hsu, Shou-Wen
    • International Journal of Quality Innovation
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    • 제7권3호
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    • pp.58-69
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    • 2006
  • This paper presents neural network-based recognition system for automatic light emitting diode (LED) inspection. The back-propagation neural network (BPNN) is proposed and tested. The current-voltage (I-V) characteristic data of LED from the inspection process is used for the network training and testing. This study selects 300 random samples as network training and employs 100 samples as network testing. The experimental results show that if the classification work is done well, the accuracy of recognition is 100%, and the testing speed of the proposed recognition system is almost one half faster than the traditional inspection system does. The proposed neural-network approach is successfully demonstrated by real data sets and can be effectively developed as a recognition system for a practical application purpose.

전수검사에서 얻어진 불완전한 측정 데이터를 사용한 공정관리 (Process Control Based on the Incomplete Measurement Data Obtained from 100% Inspection)

  • 권혁무
    • 대한산업공학회지
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    • 제30권2호
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    • pp.84-92
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    • 2004
  • A process control procedure is proposed when 100% inspection is performed in a process with excellent capability. Only the incomplete measurement data is assumed to be available, i.e. the specific measurement value of the quality characteristic is not available for each item but it can be determined to be smaller or larger than any prescribed value. In the suggested model, a signal limit is introduced to determine whether the process under study is in control or not. If the quality characteristic of an incoming item exceeds the upper signal or the lower signal limit, the process is determined to be stopped or not by comparing the number of consecutively accepted items with a predetermined threshold number. The procedure is designed based on the type I and II errors. The performance of the model is evaluated by the expected number of items produced under the in-control and out-of-control states until the process is stopped.

EMTDC를 이용한 태양전지의 새로운 시뮬레이션 모델 (A Novel Simulation model of Solar Cell using EMTDC)

  • 박민원;김봉태;이재득;유인근;성기철
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 추계학술대회 논문집 학회본부 A
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    • pp.113-115
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    • 2000
  • So far, it was very difficult to simulate the dispersed generation system including PV generation system using EMTP or EMTDC because the source of the dispersed generation system has a particular VI characteristic equation. In this paper, a novel simulation method of PV generation system has proposed and a new solar cell component for EMTDC is also developed. The VI characteristic equation of solar cell is used in order to realize the solar generation system in EMTDC simulation. Consequently the simulation of PV power generation system using field data is realized and acceptable results, which show close match between the real data of PV panel and the simulated data, were obtained.

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지중송전계통 절연통보호장치 모델링 기법에 관한 연구 (A Study on Modeling Methods for Cable Covering Protective Unit on Underground Power Cable Systems)

  • 최경규;장태인;윤형희;정채균
    • 전기학회논문지
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    • 제56권12호
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    • pp.2098-2102
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    • 2007
  • The conventional CCPU(Cable Covering Protective Unit) modeling methods which are used by Type 99 and Type 92 in EMTP simulation are firstly discussed in this paper, and then some problems of them are also investigated. Modeling method using Type 99 causes unstable characteristic at initial transient of CCPU operation. Time delay has also effect on the output of CCPU modeling. So, in this paper, a new modeling method for CCPU is designed by DBM(Data Base Module) of EMTP. The characteristic of Type 92 is used for the new modeling method. The reliability of this one is proved by comparing simulation with measured data. Specially, at initial transient, the waveform of the new method shows more stable result than that of conventional method using Type 99. Also, the peak value is similar to measured data.

다양한 해석적 방법에 의한 케이블 구조의 장력 추정 (Tension Force Identification of Cable Structures using Various Analytical Methods)

  • 노명현;이상열
    • 복합신소재구조학회 논문집
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    • 제3권3호
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    • pp.38-46
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    • 2012
  • The method based on various mathematical characteristic equations for identifying tensile forces in the cable structure system are used as response data to reflect the properties of the dynamic sensitivity. The vibration tests have been conducted with respect to levels of applied weight for the sagged cable. In this study, a set of natural frequencies are extracted from the measured dynamic data. Next, existing characteristic equation methods based these extracted natural frequencies are applied to identify tensil forces of the sagged cable system. Through several verification procedures, the proposed methods could be applied to a sagged cable system when the initial material data are insufficiency.

능동 요 제어 알고리즘의 비교 연구 (Comparative Study on Active Yaw Control Algorithms)

  • 최한순;이호철;방조혁
    • 풍력에너지저널
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    • 제10권3호
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    • pp.5-11
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    • 2019
  • This paper suggests and compares two algorithms, a moving average filter method and a method developed by the National Renewable Energy Laboratory (NREL), to verify the yaw control algorithm characteristic to reduce yaw error for a wind turbine. A characteristic change for yaw movement in accordance with control parameter change that consists of each control method has been verified. Also, yaw simulations were performed using nacelle wind data measured from two areas with different turbulence intensities and the yaw movement data in each area was compared. These two algorithms and real data were compared by calculating mean absolute error (MSE) and the number of yawing (NY). As a result of the analysis, the MSE values were not significantly different between the two algorithms, but the algorithm proposed by the NREL was found to reduce yaw movement by up to 50 percent more than the moving average filter method.

형태와 칼러성분을 이용한 효율적인 내용 기반의 이미지 검색 방법 (Efficient Content-Based Image Retrieval Method using Shape and Color feature)

  • 염성주;김우생
    • 한국정보처리학회논문지
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    • 제3권4호
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    • pp.733-744
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    • 1996
  • 내용을 기반으로 한 이미지 데이타 검색은 이미지로부터 자동적으로 특징값들을 추출하여 사용자가 원하는 이미지를 검색하는 방법이다. 본 논문에서는 이미지 데이타 로부터 형태적 특징과 컬러 특징을 자동적으로 추출하여 내용을 기반으로 이미지 데이타를 검색할 수 있는 방법을 제안한다. 이를 위하여 필요한 일련의 이미지 처리 과정을 소개하고 추출된 특징값들을 빠르게 검색하기 위해 변형된 트라이와 R 트리를 사용한 인덱싱기법을 제안한다. 제안하는 검색 방법은 형태와 컬러에 대한 특징값들을 모두 취급하므로 보다 신뢰성 있는 검색을 할 수 있다. 또한 본 논문에서는 이를 바탕으로 구현된 이미지 데이타베이스와 약 200여개의 이미지 데이타를 대상으로한 검색 실험 결과를 보이며, 검색 결과를 통해 형태적 특징과 컬러 특징이 이미지가 데이타 검색에 미친 영향을 고찰해 본다.

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Reliability improvement of nonlinear ultrasonic modulation based fatigue crack detection using feature-level data fusion

  • Lim, Hyung Jin;Kim, Yongtak;Sohn, Hoon;Jeon, Ikgeun;Liu, Peipei
    • Smart Structures and Systems
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    • 제20권6호
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    • pp.683-696
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    • 2017
  • In this study, the reliability of nonlinear ultrasonic modulation based fatigue crack detection is improved using a feature-level data fusion approach. When two ultrasonic inputs at two distinct frequencies are applied to a specimen with a fatigue crack, modulation components at the summation and difference of these two input frequencies appear. First, the spectral amplitudes of the modulation components and their spectral correlations are defined as individual features. Then, a 2D feature space is constructed by combining these two features, and the presence of a fatigue crack is identified in the feature space. The effectiveness of the proposed fatigue crack detection technique is experimentally validated through cyclic loading tests of aluminum plates, full-scale steel girders and a rotating shaft component. Subsequently, the improved reliability of the proposed technique is quantitatively investigated using receiver operating characteristic analysis. The uniqueness of this study lies in (1) improvement of nonlinear ultrasonic modulation based fatigue crack detection reliability using feature-level data fusion, (2) reference-free fatigue crack diagnosis without using the baseline data obtained from the intact condition of the structure, (3) application to full-scale steel girders and shaft component, and (4) quantitative investigation of the improved reliability using receiver operating characteristic analysis.