• 제목/요약/키워드: a error model

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Bayesian curve-fitting with radial basis functions under functional measurement error model

  • Hwang, Jinseub;Kim, Dal Ho
    • Journal of the Korean Data and Information Science Society
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    • 제26권3호
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    • pp.749-754
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    • 2015
  • This article presents Bayesian approach to regression splines with knots on a grid of equally spaced sample quantiles of the independent variables under functional measurement error model.We consider small area model by using penalized splines of non-linear pattern. Specifically, in a basis functions of the regression spline, we use radial basis functions. To fit the model and estimate parameters we suggest a hierarchical Bayesian framework using Markov Chain Monte Carlo methodology. Furthermore, we illustrate the method in an application data. We check the convergence by a potential scale reduction factor and we use the posterior predictive p-value and the mean logarithmic conditional predictive ordinate to compar models.

디지틀 전송선로의 성능 분석 알고리즘에 관한 연구 (A Study on the Performance Analysis Algorithm for Digital Transmission Lines)

  • 서수완;전동근;차균현
    • 한국통신학회논문지
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    • 제16권6호
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    • pp.498-508
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    • 1991
  • 본 논문은 비트레벨에서, 3 - 상태 마코프체인의 모델을 사용한 종단대 종단 디지털 접속부에서의 개개 링크들의 에러성능을 평가하는 성능 분석 알고리즘을 표현했다. 링크모델은 개개링크의 버스트에러를 제안했으며, 또한 그것은 여러가지 개개링크들을 연결시키는 방법과 종단대 종단 디지털 접속부에 대한 모델을 추출하는 방법을 나타냈다. 이 결과적인 종단대 종단 모델이 주어진 블럭크기에 대한 비트에러율과 블럭에러와 같은 성능 파라미터를 계산하는데 사용될 수 있다.

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Analysis of Characteristics of All Solid-State Batteries Using Linear Regression Models

  • Kyo-Chan Lee;Sang-Hyun Lee
    • International journal of advanced smart convergence
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    • 제13권1호
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    • pp.206-211
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    • 2024
  • This study used a total of 205,565 datasets of 'voltage', 'current', '℃', and 'time(s)' to systematically analyze the properties and performance of solid electrolytes. As a method for characterizing solid electrolytes, a linear regression model, one of the machine learning models, is used to visualize the relationship between 'voltage' and 'current' and calculate the regression coefficient, mean squared error (MSE), and coefficient of determination (R^2). The regression coefficient between 'Voltage' and 'Current' in the results of the linear regression model is about 1.89, indicating that 'Voltage' has a positive effect on 'Current', and it is expected that the current will increase by about 1.89 times as the voltage increases. MSE found that the mean squared error between the model's predicted and actual values was about 0.3, with smaller values closer to the model's predictions to the actual values. The coefficient of determination (R^2) is about 0.25, which can be interpreted as explaining 25% of the data.

로봇 착유기를 위한 3차원 위치정보획득 시스템 (3D Image Processing System for an Robotic Milking System)

  • 김웅;권두중;서광욱;이대원
    • 한국축산시설환경학회지
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    • 제8권3호
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    • pp.165-170
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    • 2002
  • This study was carried out to measure the 3D-distance of a cow model teat for an application possibility on Robotic Milking System(RMS). A teat recognition algorithm was made to find 3D-distance of the model by using Gonzalrez's theory. Some of the results are as follows. 1 . In the distance measurement experiment on the test board, as the measured length, and the length between the center of image surface and the measured image point became longer, their error values increased. 2. The model teat was installed and measured the error value at the random position. The error value of X and Y coordinates was less than 5㎜, and that of Z coordinates was less than 20㎜. The error value increased as the distance of camera's increased. 3. The equation for distance information acquirement was satisfied with obtaining accurate distance that was necessary for a milking robot to trace teats, A teat recognition algorithm was recognized well four model cow teats. It's processing time was about 1 second. It appeared that a teat recognition algorithm could be used to determine the 3D-distance of the cow teat to develop a RMS.

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오류 수정 시간을 고려한 소프트웨어 최적 출시 시점 결정 연구 (A Study on Determining the Optimal Time to Launch of Software Considering Error Correction Time)

  • 안철훈
    • 한국소프트웨어감정평가학회 논문지
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    • 제16권2호
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    • pp.69-76
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    • 2020
  • 본 논문에서는 오류 수정 난이도를 나타내는 지표인 오류 수정 시간을 사용하여 소프트웨어 최적 출시 시점 결정 문제를 연구하였다. 특히 기존의 오류 수정 시간을 고려한 소프트웨어 신뢰도 성장 모델에서 오류 발견 시간과 수정 시간이 독립적이라는 가정을 수정하고, 오류 발견 시간과 수정 시간의 상관관계를 표현할 수 있는 일반적인 프레임워크 모델을 설정하여 소프트웨어 최적 출시 시점을 결정해 보고자 하였다. 그 결과 테스트 초기에 수정 시간이 걸리는 오류를 발견하는 것이 경제적인 관점에서 중요하다는 것을 알 수 있었다. 최적의 소프트웨어 출시 시점을 결정하는 데에 있어서 오류발견시간과 오류수정시간의 상관관계를 분석하는 것이 매우 중요하다는 결론을 얻을 수 있었다.

급속조형 시스템을 위한 STL 포맷의 오류 검증에 관한 연구 (A Study on Error Verification of STL Format for Rapid Prototyping System)

  • Park, H.T.;Lee, S.H.
    • 한국정밀공학회지
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    • 제13권10호
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    • pp.46-55
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    • 1996
  • As industrial standard data, the STL format which approximates three dimensional CAD model to triangular facets, is used for RP(Rapid Prototyping) system in recent days. Because most RP system take the only form of two dimensional line segments as an input stream inspite of its imperfectness while converting into STL format, a CAD model is converted into a standard industrial format which is composed of many triangular facets. The error verifying process is composed of four main steps, and these are 1) Remove facets with two or more vertices equal to each other. 2) Fix overlapping error such as more than three facets adjacent to anedge. 3) Fill holes in the mesh by using Delaunay triangulation method. 4) Correct the wrong direction and normal vectors. This paper is concerned with serching the mentioned errors in advance and modifying them.

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Confidence Interval For Sum Of Variance Components In A Simple Linear Regression Model With Unbalanced Nested Error Structure

  • Park, Dong-Joon
    • 한국통계학회:학술대회논문집
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    • 한국통계학회 2003년도 춘계 학술발표회 논문집
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    • pp.75-78
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    • 2003
  • Those who are interested in making inferences concerning linear combination of variance components in a simple linear regression model with unbalanced nested error structure can use the confidence intervals proposed in this paper. Two approximate confidence intervals for the sum of two variance components in the model are proposed. Simulation study is peformed to compare the methods.

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퍼지 모델링과 칼만 필터를 이용한 WSN에서의 위치 측정 (Localization on WSN Using Fuzzy Model and Kalman Filter)

  • 김종선;주영훈
    • 전기학회논문지
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    • 제58권10호
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    • pp.2047-2051
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    • 2009
  • In this paper, we propose the localization method on WSN(Wireless Sensor Network) using fuzzy model and Kalman filter. The proposed method is as follows: First, we estimate the distance of RSSI(Receive Signal Strength Index) by using fuzzy model in order to minimize the distance error. Second, we use a triangulation measurement for estimating the localization. And then, we minimize the localization error using a Kalman filter. Finally, we show the effectiveness and feasibility of the proposed method through some experiments.

지상사진측량(地上寫眞測量)에 의한 정밀측량기법(精密測量技法)의 연구(硏究) (A Study on the Precise Surveying Technique by Terrestrial Photogrammetry)

  • 강인준
    • 대한토목학회논문집
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    • 제9권2호
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    • pp.91-98
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    • 1989
  • 지상사진측량에서 단모델의 해석은 구조물이 커지면 적용하기가 어려워지므로 정밀한 좌표해석에서는 불럭조정기법을 사용하여야 한다. 기준점의 배치는 불럭조정결과의 오차특성에 커다란 영향을 주게 된다. 따라서 기준점 배치에 따른 오차분포특성을 조사하기 위해 블럭조정 기법을 이용한 단위모델법을 이용하였다. 연구결과에서 지상사진측량에 있어서 브리징 간격과 오차에 관한 2차다항식의 오차관계식을 개발하였다. 또한 블럭조정기법과 단모델기법의 비교에서 평균제곱근 오차가 0.44mm와 1.06mm로 나타냈다.

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캐리어의 핀홀 위치 오차에 따른 유성기어의 하중 분할 및 하중 분포 영향 분석 (Effect Analysis of Carrier Pinhole Position Error on the Load Sharing and Load Distribution of a Planet Gear)

  • 김정길;박영준;이근호;김영주;오주영;김재훈
    • 한국기계가공학회지
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    • 제15권5호
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    • pp.66-72
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    • 2016
  • Gearboxes are mechanical components that transmit power by adjusting input and output speed and torque. Their design requirements include small size, light weight, and long lifespan. We have investigated the effects of carrier pinhole position error on the load sharing and load distribution characteristics of a planetary gear set with four planet gears. The simulation model for a simple planetary gear set was developed and verified by comparing analytical results with a putative model. Then, we derived the load sharing and load distribution characteristics under various pinhole position error conditions using the prototypical simulation model. The results showed that the mesh load factor and face load factor increased with the pinhole position error, which then influenced the safety factor for tooth bending strength and surface durability.