• Title/Summary/Keyword: existing method

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Position Estimation of Wheeled Mobile Robot using Encoder Trailer (인코더 트레일러를 이용한 이동로봇의 위치 추정)

  • 최종석;김병국
    • Journal of Institute of Control, Robotics and Systems
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    • v.5 no.3
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    • pp.306-313
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    • 1999
  • To measure the accurate position of mobile robot, dead-reckoning method using the encoder attached to each wheel is conventionally used, since it is easy to compute and inexpensive to develop. However, that method is useless when slip occurs and error is accumulated with time. This paper proposes a position estimation method using encoder trailer composed of 2 encoders only(ET-2). This method provides accurate position information even when slip occurs, and can reduce accumulated error if we select the proper link lengths of encoder trailer. Experimental results show the performance of ET-2 when slip occurs. Finally, accumulated systematic error from encoder resolution is analyzed in comparison with an existing method with encoder trailer composed of 3 encoders. (As a matter of convenience, we will call the existing encoder trailer ‘ET-3’)

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The Suggestion of a New Control Method for SPAM Mail Prevention Solution (스팸 메일 차단솔루션의 새로운 제어 방식 제안)

  • 김민홍;두창호
    • Journal of the Korea Computer Industry Society
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    • v.5 no.4
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    • pp.453-460
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    • 2004
  • SPAM mails become a serious social problem all of the world and the products for SPAM prevention are coming to the market. This study classifies the existing SPAM prevention solutions according to the patterns to be set up and the judging SPAM methods, and analyses the merits and demerits of them. This study also draws problems of the existing SPAM Prevention solutions and suggests a new URL Prefetch method, a new filtering method which have been out of use. And it draws synergistic effects of SPAM prevention by this new method and suggests SPAM Prevention solution by HTML Pattern method

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Identification and Damping of Resonances in Inverter-based Microgrids

  • Afrasiabi, Morteza;Rokrok, Esmaeel
    • Journal of Power Electronics
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    • v.18 no.4
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    • pp.1235-1244
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    • 2018
  • The application of shunt capacitor banks and underground cables typically induces resonance in power distribution systems. In this study, the propagation of resonance in a microgrid (MG) with inverter-based distributed generators (IBDGs) is investigated. If resonances are not properly damped, then the output current of the inverters may experience distortion via resonance propagation due to the adverse effect of resonances on MG power quality. This study presents a conceptual method for identifying resonances and related issues in multi-inverter systems. For this purpose, existing resonances are identified using modal impedance analysis. However, some resonances may be undetectable when this method is used. Thus, the resonances are investigated using the proposed method based on the frequency response of a closed-loop MG equivalent circuit. After analyzing resonance propagation in the MG, an effective virtual impedance damping method is used in the IBDG control system to damp the resonances. Results demonstrate the effectiveness of the proposed method in compensating for existing resonances.

A GA-based Binary Classification Method for Bankruptcy Prediction (도산예측을 위한 유전 알고리듬 기반 이진분류기법의 개발)

  • Min, Jae-H.;Jeong, Chul-Woo
    • Journal of the Korean Operations Research and Management Science Society
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    • v.33 no.2
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    • pp.1-16
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    • 2008
  • The purpose of this paper is to propose a new binary classification method for predicting corporate failure based on genetic algorithm, and to validate its prediction power through empirical analysis. Establishing virtual companies representing bankrupt companies and non-bankrupt ones respectively, the proposed method measures the similarity between the virtual companies and the subject for prediction, and classifies the subject into either bankrupt or non-bankrupt one. The values of the classification variables of the virtual companies and the weights of the variables are determined by the proper model to maximize the hit ratio of training data set using genetic algorithm. In order to test the validity of the proposed method, we compare its prediction accuracy with ones of other existing methods such as multi-discriminant analysis, logistic regression, decision tree, and artificial neural network, and it is shown that the binary classification method we propose in this paper can serve as a premising alternative to the existing methods for bankruptcy prediction.

A Robust Approach of Regression-Based Statistical Matching for Continuous Data

  • Sohn, Soon-Cheol;Jhun, Myoung-Shic
    • The Korean Journal of Applied Statistics
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    • v.25 no.2
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    • pp.331-339
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    • 2012
  • Statistical matching is a methodology used to merge microdata from two (or more) files into a single matched file, the variants of which have been extensively studied. Among existing studies, we focused on Moriarity and Scheuren's (2001) method, which is a representative method of statistical matching for continuous data. We examined this method and proposed a revision to it by using a robust approach in the regression step of the procedure. We evaluated the efficiency of our revised method through simulation studies using both simulated and real data, which showed that the proposed method has distinct advantages over existing alternatives.

Supply Chain Replanning Considering Balance of Supply and Demand (수급(需給)균형을 고려한 공급사슬 재계획에 관한 연구)

  • Cho, Min-Kwan;Lee, Young-Hae
    • IE interfaces
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    • v.17 no.spc
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    • pp.79-89
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    • 2004
  • Supply Chain (SC) can balance demands with supply activities as executing Supply Chain Planning (SCP). The fluctuated demands, however, will break the balance between demand and supply. It means that the present SCP is useless in responding the changed demands. Thus it is necessary for SCP to be updated with changed demands. We call this procedure as Supply Chain Replanning. However, the existing measures for SC can not deal with the balance between supply and demand so that they can not detect effectively the timing of replanning. For this reason, a new performance measure, Balancing Point, is developed using momentum, a concept of Physics. It can treat the balance between supply and demand. Also, a replanning method based on Balancing Point is proposed. The proposed method is more effective than the existing replanning method, periodic replanning method and net inventory method.

A Method of Nonlinea Color Transform from CIE $L^{*}a^{*}b^{*}$ to CMY Value by Neural Network (신경망에 의한 CIE $L^{*}a^{*}b^{*}$-CMY의 비선형 색변환)

  • 서봉우
    • Journal of the Korean Graphic Arts Communication Society
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    • v.15 no.1
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    • pp.57-69
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    • 1997
  • The field of printing to use pressurized ink using screen gossamer that is called screen printing. Existing cleaning solvents for the screen printing are the organic solvents containing aromatic compounds and stench. Also, Cleaning method of screen printing are for the most part mixed cleaning method of dipping and polish. In this study, we measured the cleaning efficiency by gravimetric analysis and the property change of gossamer by image analyzer using existing cleaning solvent. Also, we investigated a new cleaning process showing excellent cleaning efficiency using the ultrasonic and vibration cleaning method instead of the exsiting mixed cleaning method.

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The Effective Parallel Processing Method for the Skeleton Improvement of Character Patterns (문자 패턴의 골격화 향상을 위한 효과적인 병렬 처리 방법)

  • Shin Choong Ho
    • Journal of Korea Multimedia Society
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    • v.8 no.1
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    • pp.27-33
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    • 2005
  • In this paper, an effective skeleton method is proposed in order to obtain an enhanced digital image of skeleton line. The binary image using the threshold values is applied in the preprocessing stage and then The proposed method is applied to obtain the improved image of skeleton line. We used the existing skeleton methods and SPTA(Shin's Parallel Thinning Algorithm) method for the comparison. The demerits of the existing skeleton methods have a result of noise branch, expansion and contraction. and then we are proposed a SPTA method.

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Estimation of RPS Method Using 3-Dimensional Numerical Analysis (3차원 수치해석을 이용한 RPS 공법의 적용성 평가)

  • Roh, Jeong-Min;Shin, Eun-Chul
    • Journal of the Korean Society for Railway
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    • v.9 no.2 s.33
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    • pp.174-179
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    • 2006
  • Recently, the crossing tunnel has been constructed frequently to connect the separated area by highway and railroad. The construction of crossing tunnel must be progressed while maintaining the existing traffic of the highway as well as railroad. There are many cross funnelling methods such as NTR, TRCM, Messer Shield, Front Jacking, and Pipe Roof Method. The advantages of adopting RPS(Roof Panel Shield) method in crossing tunnel construction with comparing other existing cross funnelling methods are needed a little volume of concrete and easy to change the direction of cutting shoe during the construction of pipe roof, The 3-dimensional numerical analysis of RPS to consider the arching effect was performed for the application in the crossing tunnel under railroad. The earth pressure distribution and settlement were predicted when the RPS method was applied during the excavation for crossing railroad tunnel construction.

Development of a Model Combining Covariance Matrices Derived from Spatial and Temporal Data to Estimate Missing Rainfall Data (공간 데이터와 시계열 데이터로부터 유도된 공분산행렬을 결합한 강수량 결측값 추정 모형)

  • Sung, Chan Yong
    • Journal of Environmental Science International
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    • v.22 no.3
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    • pp.303-308
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    • 2013
  • This paper proposed a new method for estimating missing values in time series rainfall data. The proposed method integrated the two most widely used estimation methods, general linear model(GLM) and ordinary kriging(OK), by taking a weighted average of covariance matrices derived from each of the two methods. The proposed method was cross-validated using daily rainfall data at thirteen rain gauges in the Hyeong-san River basin. The goodness-of-fit of the proposed method was higher than those of GLM and OK, which can be attributed to the weighting algorithm that was designed to minimize errors caused by violations of assumptions of the two existing methods. This result suggests that the proposed method is more accurate in missing values in time series rainfall data, especially in a region where the assumptions of existing methods are not met, i.e., rainfall varies by season and topography is heterogeneous.