• Title/Summary/Keyword: 균형오차

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Traffic Analysis Monitoring System for Web Server Load Balancing (웹서버의 부하균형을 위한 트래픽상황분석 모니터링 시스템)

  • Choi E-Jung;Lee Eun-Seok;Kim Seok-Soo
    • The Journal of the Korea Contents Association
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    • v.5 no.2
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    • pp.79-85
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    • 2005
  • In order to handle client's requests while multiple servers seamlessly work in the web server cluster environment, it is vital to implement a router that execute a routing using TCP information and requested target content. The implemented package software measured packet volume that was generated from data generator, virtual server, and server 1, 2, 3, and could find out traffic distribution toward Server 1, 2, 3. As the result of the study shows, Round Robin Algorithm ensured definite traffic distribution, unless incoming data loads differ much. Although error levels were high in some partial cases, they were eventually alleviated by repeated tests for a longer time.

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Effects of Exchange Rate Risk and Industrial Activity Uncertainty on Import Container Volume in Korea (환위험과 경기 불확실성이 우리나라의 수입물동량에 미치는 영향)

  • Kim, Chang-Beom
    • Journal of Korea Port Economic Association
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    • v.26 no.4
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    • pp.88-100
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    • 2010
  • This paper investigates the influence of industrial activity volatility and exchange rate volatility on import container volume of the Korea during the 1999:1- 2010:9. Conditional variance from the GARCH(1, 1) model is applied as the volatility. The Johansen multivariate cointegration method and the error correction (general-to-specific) method are applied to study the relationship between import volume and its determinants. The empirical results show that volatility has statistically significant negative effect on import volume.

VECM모형을 이용한 거시경제변수와 주가간의 관계에 대한 실증분석

  • Hwang, Seon-Ung;Choe, Jae-Hyeok
    • The Korean Journal of Financial Studies
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    • v.12 no.1
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    • pp.183-213
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    • 2006
  • 본 연구의 목적은 공적분 검정과 예측오차 분산분해 방법을 이용하여 우리나라 주식시장에서 주가지수와 거시경제 변수들과의 계량적 관계를 파악하고 종합주가지수와 밀접한 관련성이 있는 변수를 사용하여 종합주가지수와 거시경제변수들 사이의 모형을 추정하는 것이다. Johansen 공적분 검증을 이용한 결과를 보면 종합주가지수와 7개의 거시경제변수들(총통화, 소비자물가지수, 금리, 산업생산지수, 원 달러 환율, 국제원유가격, 경상수지) 사이에 상당히 밀접한 연관성이 있으며, 이들 변수들 사이에 장기적 균형 관계가 존재하였다. 예측오차 분산분해 방법을 사용한 분석결과에서는 종합주가지수의 분산을 예측하는데 있어서 이들 거시경제변수들의 설명력이 매우 높게 나타났다. 또한 우리나라의 주식시장에서는 금리, 국제원유가격, 경상수지 등의 요인보다는 원 달러 환율, 소비자물가지수, 산업생산의 비중이 더 크다는 사실을 알 수 있었다. 우리나라의 자본시장에서는 1997년 말 외환위기를 전후로 하여 현저한 구조적 변화가 존재하였기 때문에 백터오차수정모형을 설정할 때에는 외환위기 이전기간과 이후기간으로 나누어서 분석하는 것이 더욱 타당함을 확인할 수 있었다.

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Impacts of number of O/D zone and Network aggregation level in Transportation Demand Forecast (교통수요예측시 O/D존 및 네트워크 집계수준에 따른 영향 분석)

  • Lim, Yong-Taek;Kang, Min-Gu;Lee, Chang-Hun
    • Journal of Korean Society of Transportation
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    • v.26 no.2
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    • pp.147-156
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    • 2008
  • It has been widely known that there are so many factors making travel demand errors in transportation forecasting steps. One of the reasons may stem from the level of aggregation of zone and network in analysis process. This paper investigates the effect of level of aggregation considering with number of zones in travel demand forecasting by expanding or reducing the zone and network gradually. Numerical results show that the aggregation could not make a significant impact on the travel demand, while disaggregation does. These results imply that a careful manipulation is required to add or to reduce zones and links in transportation planning process.

Correction of Measured Traffic Volume on Expressways Using Optimization Model (최적화 모형을 이용한 고속도로 측정교통량 보정)

  • Kim, Dong ho;Park, Dong joo;Kim, Do gyeong;Shin, Seung jin
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.17 no.4
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    • pp.41-53
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    • 2018
  • This study developed the optimization method to correct the measured traffic volume of the expressway that minimizes the measurement error and satisfies the traffic balancing with TCS. For this purpose, the model constructed in this study was compared and verified with the true traffic volume. Verification result of the model, it was found that the measurement error is reduced when the measured traffic volume is corrected for the traffic volume balance. As a result of applying it to 40 links of the Kyoungbu expressway, the measured traffic volume was corrected by -8.1%~9.6% and the measurement error was decreased as much as the corrected traffic volume. This research is meaningful in improving the accuracy of the measured traffic volume of the expressway, while the scale and role of the expressway are increasing.

Bayes Risk Comparison for Non-Life Insurance Risk Estimation (손해보험 위험도 추정에 대한 베이즈 위험 비교 연구)

  • Kim, Myung Joon;Woo, Ho Young;Kim, Yeong-Hwa
    • The Korean Journal of Applied Statistics
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    • v.27 no.6
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    • pp.1017-1028
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    • 2014
  • Well-known Bayes and empirical Bayes estimators have a disadvantage in respecting to overshink the parameter estimator error; therefore, a constrained Bayes estimator is suggested by matching the first two moments. Also traditional loss function such as mean square error loss function only considers the precision of estimation and to consider both precision and goodness of fit, balanced loss function is suggested. With these reasons, constrained Bayes estimators under balanced loss function is recommended for non-life insurance pricing.; however, most studies focus on the performance of estimation since Bayes risk of newly suggested estimators such as constrained Bayes and constrained empirical Bayes estimators under specific loss function is difficult to derive. This study compares the Bayes risk of several Bayes estimators under two different loss functions for estimating the risk in the auto insurance business and indicates the effectiveness of the newly suggested Bayes estimators with regards to Bayes risk perspective through auto insurance real data analysis.

The Analysis of the Effect of Fiscal Decentralization on Economic Growth: Centering The U. S. (재정분권화가 경제성장에 미치는 영향에 관한 실증연구: 미국의 경우를 중심으로)

  • Choi, Won Ick
    • International Area Studies Review
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    • v.16 no.3
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    • pp.77-97
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    • 2012
  • Estimated coefficients has serious problems including inconsistency, biasness, etc. because many researches about the effect of fiscal decentralization on a country's economic growth use the traditional OLS method. Researches use the data intactly so that so called "spurious regression" phenomenon exists. This causes fundamental fallacy. This research tries unit root test, cointegration test, and then estimates the United States' economic time series by using VECM. The analysis of the effect of the state level-fiscal decentralization on economic growth shows two long term-equilibriums. During short term-dynamic adjustment, fiscal decentralization and economic growth move the same or different directions. In case of prediction GDP increases steeply and then from 2015 gently; and fiscal decentralization index shows a general reduction trend and then decreases slowly. At local level it shows two long term-equilibriums. During short term-dynamic adjustment, fiscal decentralization and economic growth also move the same or different directions. Impulse response analysis shows the very negative effect of fiscal decentralization on economic growth.

Estimation of Korean LNG Price Allowing a Structural Change (구조변화를 고려한 한국의 LNG 가격 추정)

  • Cho, Hong Chong;Han, Wonhee
    • Environmental and Resource Economics Review
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    • v.24 no.4
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    • pp.679-708
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    • 2015
  • Almost all of natural gas demand in Korea is currently met by overseas LNG imports. More than 80% of LNG is imported through the mid to long-term contracts with oil-linked pricing. Despite LNG price estimation provides valuable information with various interested parties, an empirical study as well as an econometric model on LNG price hasn't yet been available in Korea. This paper therefore, aims at analyzing not only whether the long-run equilibrium relationship between oil prices and Korean LNG prices exists but also whether structural change occurred in such relationship. Further, it aims at building a conditional VECM taking account of a structural change. According to the final model, an oil price shock is passed through to the LNG prices in nonlinear and different manner from the past.

Balanced Model Reduction for Linear Systems with State Delay (상태변수에 시간지연을 갖는 선형시스템의 균형화된 모델 차수 축소)

  • Yoo, Seog-Hwan
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.35S no.11
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    • pp.68-74
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    • 1998
  • This paper deals with a model reduction problem for the linear systems with state delay. After defining the controllability/observability Gramians, the concept of a balanced model for the linear systems with state delay is introduced. Based on solutions of linear matrix inequalities, the model reduction method with guaranteed error bounds is developed. In order to demonstrate the efficacy of teh suggested method, a numerical example is also performed.

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A Fractional Model Reduction for Linear Systems with State Delay (상태변수 시간지연을 갖는 선형시스템의 분수 모델 축소)

  • Yoo, Seog-Hwan
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.41 no.2
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    • pp.29-36
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    • 2004
  • This paper deals with a fractional model reduction for linear systems with time varying delayed states. A contractive coprime factorization of linear time delayed systems is defined and obtained by solving linear matrix inequalities. Using generalize controllability and observability gramians of tile contractive coprime factor, a balanced state space realization of the system is derived. The reduced model will be obtained by truncating states in the balanced realization and an upper bound of model approximation error is also presented. In order to demonstrate efficacy of the suggested method, a numerical example is illustrated.