• Title/Summary/Keyword: Parameter Generation

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The Trip Generation Models with Time-effects (시간효과를 반영한 통행발생모형 개발)

  • Kim, Sang-Rok;Kim, Jin-Hee;Kim, Hyung-Jin;Chung, Jin-Hyuk
    • Journal of Korean Society of Transportation
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    • v.30 no.1
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    • pp.103-112
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    • 2012
  • This research introduces a trip generation model reflecting time-series effects derived from a panel analysis with the data collected from the national household trip surveys conducted in 1996, 2002 and 2006. The existing methods are unable to reflect time-series effects from the change of socioeconomic conditions because the parameters applied to the model were basically from the base year of study - the parameter values were unchanged. This study proposes a new trip generation model developed through a panel analysis performed with the data collected from the last three national household trip surveys. From the results, it was found that the number of school trips increases and that the number of shopping trips decreases as time passes. The results showed that there are time-series effects affecting in trip generation.

Analysis of the applicability of parameter estimation methods for a stochastic rainfall generation model (강우모의모형의 모수 추정 최적화 기법의 적합성 분석)

  • Cho, Hyungon;Lee, Kyeong Eun;Kim, Gwangseob
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.6
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    • pp.1447-1456
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    • 2017
  • Accurate inference of parameters of a stochastic rainfall generation model is essential to improve the applicability of the rainfall generation model which modeled the rainfall process and the structure of rainfall events. In this study, the model parameters of a stochastic rainfall generation model, NSRPM (Neyman-Scott rectangular pulse model), were estimated using DFP (Davidon-Fletcher-Powell), GA (genetic algorithm), Nelder-Mead, and DE (differential evolution) methods. Summer season hourly rainfall data of 20 rainfall observation sites within the Nakdong river basin from 1973 to 2017 were used to estimate parameters and the regional applicability of inference methods were analyzed. Overall results demonstrated that DE and Nelder-Mead methods generate better results than that of DFP and GA methods.

An Empirical Study on Difference of Approval Rate for the Political Parties among Generations (정당 지지에 대한 세대별 차이 고찰)

  • Woo, Kyoungbong
    • Analyses & Alternatives
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    • v.4 no.2
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    • pp.103-132
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    • 2020
  • The purpose of this study is to observe whether intergenerational differences exist in support among major Korean political parties and, if so, how they exist, based on the results of the survey conducted nationwide. To achieve the purpose of the study, a questionnaire was prepared based on conjoint analysis, and the collected data was analyzed by applying a random parameter logit model. The main results of model analysis are summarized as follows. First, among the policy variables, statistically significant results were observed in the generation of 20s and 30s for the education variable. It was found that both 20s and 30s aimed for equal education at a higher level than other generations. Especially, the highest intensity aim for equal education culture was observed in the 20s. Second, the coefficients of major political parties were observed with a high level of statistical significance. This appears to be a result suggesting that voters decide on their voting behavior through thorough policy comparisons in addition to comprehensive consideration on various current issues. Third, a clear support for conservative parties was observed in the generation of 20s. A clear and intense distribution of preference for political parties classified as conservatives was observed in the 20s generation, which can be said to be mainly college students. This seems to be a profound founding related to the issue of "conservatization of the 20s," which has recently become a hot topic in Korean society. Fourth, a high level of support for progressive parties was observed in the 30s and 40s. The Justice Party can be classified as a minority party in the National Assembly House as of January 2019. Nevertheless, it was maintained at a relatively high level in national recognition, and it is presumed that the background was high level of support from the 30s and 40s. Fifth, a large level of standard deviation was observed in the preference for conservative parties in the 50s. This means that some respondents who are in their 50s or older strongly support the Liberty Korea Party, and some respondents in the same generation strongly disapprove it. Due to this countervailing power, it seems that the average support level for the Liberal Korean Party is low in the generations of 50s and older.?

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Following Path using Motion Parameters for Virtual Characters

  • Baek, Seong-Min;Jeong, Il-Kwon;Lee, In-Ho
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.1621-1624
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    • 2003
  • This paper presents a new method that generates a path that has no collision with the obstacles or the characters by using the three motion parameters, and automatically creates natural motions of characters that are confined to the path. Our method consists of three parameters: the joint information parameter, the behavior information parameter, and the environment information parameter. The joint information parameters are extracted from the joint angle data of the character and this information is used when creating a path following motion by finding the relation-function of the parameters on each joint. A user can set the behavior information parameter such as velocity, status, and preference and this information is used for creating different paths, motions, and collision avoidance patterns. A user can create the virtual environment such as road and obstacle, also. The environment is stored as environment information parameters to be used later in generating a path without collision. The path is generated using Hermit-curve and each control point is set at important places.

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Characterization of behaviors using electric pulse for phase switching operation of Ge2Sb2Te5 material

  • Lee, Hyeon-Cheol;Choe, Du-Jin
    • Proceedings of the Korean Vacuum Society Conference
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    • 2016.02a
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    • pp.322-322
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    • 2016
  • Phase change memory (PCM) has attracted much attention as one of the most promising candidates for next-generation nonvolatile memory. In that regard, the purposes of the study are to propose reference of effective pulse parameter to control phase switching operation and to invest the effect of nitrogen doped in PCM materials for improved cycling stability and economic energy consumption. Switching operation of PCM is affected by electric pulse parameter and as shown in figure.1 are composed to RT(rising time), ST(setting time), FT(falling time) and the effect of these parameter was precisely investigated. Transmission electron microscope (TEM) was used to confirm fine structure and retention cycle test was conducted to confirm reliability. Finally improvement reliability and economic power consumption in quantitatively are obtainable by optimum pulse parameter and nitrogen doping in GST material. these study is related to the engineering background of other semiconductor industries and it have confirmed to possibility further applications.

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A Study on the Parameter Measurement of Three Phase Brushless DC Moto (삼상 브러시리스 직류전동기의 파라미터 측정에 관한 연구)

  • 임영철;장영학;조경영;정영국
    • The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.5 no.3
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    • pp.54-63
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    • 1991
  • This paper describes an effort to develope a microcomputer-based parameter measurement system for a brushless DC motor. Back EMF equation is derived from back EMF waveform of a brushless DC motor. To minimize error the due to the ripple component in the measured armature current, digital averaging filter is employed. The whole identification process of signal generation, measurement parameter determination is fully automated. A new identification algorithm for the brushless DC motor parameters is developed. New parameter correction method is proposed using the deadzone current and the time to reach the peak current. In the proposed correction method, the measured current is in excellent agreement with the estimated current.

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Automation of the Parameter Measurement of D.C. Servomotors Using a Microcomputer (마이크로 컴퓨터를 이용한 직류 서어보전동기의 파라미터 측정의 자동화)

  • Chung, Hee-Young;Park, Gwi-T.;Lim, Young-H.;Jang, Young-H.;Cho, Kyeung-Y.
    • Proceedings of the KIEE Conference
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    • 1989.07a
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    • pp.12-15
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    • 1989
  • This paper describes the efforts to develop an PC based parameter identification system for the D.C. servomotor. The whole identification process of signal generation, measuring, parameter determination is fully automated. To minimize errors due to the ripple component in the measured armature current, digital averaging filter is employed. The proposed parameter correction method using the deadzone current and the time to reach the peak current resulted in excellent agreement between the measured current and estimated current using the model.

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HEAT AND MASS TRANSFER EFFECTS ON MHD NATURAL CONVECTION FLOW PAST AN INFINITE INCLINED PLATE WITH RAMPED TEMPERATURE

  • SHERI, SIVA REDDY;SURAM, ANJAN KUMAR;MODULGUA, PRASANTHI
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.20 no.4
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    • pp.355-374
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    • 2016
  • This work is devoted to investigate heat and mass transfer effects on MHD natural convection flow past an inclined plate with ramped temperature numerically. The dimensionless governing equations for this investigation are solved by using finite element method. The effects of angle inclination, buoyancy ratio parameter, permeability parameter, magnetic parameter, Prandtl number, heat generation, thermal radiation, Eckert number, Schmidt number, chemical reaction parameter and time on velocity, temperature and concentration fields are studied and presented with the aid of figures. The effects of the pertinent parameters on skin friction, rate of heat transfer and mass transfer coefficients are presented in tabular form. The numerical results are compared graphically with previously published result as special case of the present investigation and results found to be in good agreement.

A Study on the Automation of the Parameter Measurement of D.C.Servomotors Using a PC (PC를 이용한 직류서어보 전동기의 파라미터 측정의 자동화에 관한 연구)

  • 천희영;박귀태;임장철;장영학
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.38 no.9
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    • pp.710-723
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    • 1989
  • This paper describes the efforts to develope a PC based parameter identification system for D.C servomotors. A new identification algorithm for the D.C. servomotor parameters is developed. The algorithm is implemented on 16 bit IBM-PC/XT using the C language. The whole identification process of signal generation, measuring and parameter determination is fully automated. To minimize the errors due to the ripple component in the measured armature currents, digital averaging filter is employed. The proposed parameter correction method using the deadzone current and the time to reach the peak current resulted in excellent agreement between the measured current and the current estimated using the model.

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A Study on the Substation Reliability Assessment Using Weibull Distribution (와이블분포를 이용한 변전소 신뢰도 평가에 관한 연구)

  • Kim, Gwang-Won
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.51 no.1
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    • pp.7-14
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    • 2002
  • In power system study, relibility assessment has been an important topic during past several decards because sudden power interruption can bring about enormous economic loss. although the size of a substation is smaller than that of generation system or transmission system, switching actions after fault(s) make reliability assessment of substation rather complex situations such as switching actions easily and permit various probability distributions in describing substation elements. Despite this ability of Monte Carlo simulation, one-parameter exponential distribution is still popular in this reliability assessment. This paper examines the characteristics of several two-parameter probability distributions, and offers new parameter decision rule based on average and variance of the target to be modelled. In case study, this paper shows the profits by using Weibull distribution which is one of two-parameter probabilistic distributions instead of exponential one.