• Journal of Mechanical Science and Technology
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• 제18권6호
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• pp.961-971
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• 2004

Methods for determination of the crack opening stress intensity factor ($K_{op}$) and for estimation of the effective stress intensity factor range ($\Delta{K}_{eff}$) are evaluated for crack growth test data of aluminum alloys. Three methods of determining $K_{op}$, visual measurement, ASTM offset compliance method, and the neural network method proposed by Kang and Song, and three methods of estimating $\Delta{K}_{eff}$, conventional, the 2/PIO and 2/PI methods proposed by Donald and Paris, are compared in a quantitative manner by using evaluation criteria. For all $K_{op}$ determination methods discussed, the 2/PI method of estimating $\Delta{K}_{eff}$ provides good results. The neural network method of determining $K_{op}$ provides good correlation of crack growth data. It is recommended to use 2/PI estimation with the neural $K_{op}$ determination method. The ASTM offset method used in conjunction with 2/PI estimation shows a possibility of successful application. It is desired to improve the ASTM method.

• 한국대기환경학회지
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• 제14권6호
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• pp.537-544
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• 1998

We selected Spathiyhyllum patinii and Pachira aqkatica, since the former has high O3 absorption while the latter low absorption, and analyzed physiological factors such as diffusive coefficient, transpiration rate, photosynthetic rate, and CO2 absorption rate, which affected O3 absorption capacity There was significant relationship between gas absorption capacity and the other factors; photosynthetic rate, diffusive resistance, stomatal resistance and CO2 absorption rate. Therefore model formula for estimation of O3 absorption rate in plant was formulated by making use of these factors. There was difference for the estimation of O3 absorption rate according to plant species. In case of Spathiphyllum patinii, photosynthetic rate is an optimal factor for estimation of O3 absorption capacity. On the other hand, stomatal resistance and diffusive resistance are optimal factors of Pachira aquatica among various physiological ones. And we knew that CO2 absorption rate is a potential factor to evaluate gas absorption capacity regardless of plant species. But considering efficiency and practicality, diffusive resistance was the most effective factor for the estimation of O3 gas absorption.

• Journal of Electrical Engineering and Technology
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• 제13권1호
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• pp.287-297
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• 2018

To improve the performance of sensorless induction motor (IM) drives, a novel speed estimation method based on the real-time adaptive extended Kalman filter (RAEKF) is proposed in this paper. In this algorithm, the fuzzy factor is introduced to tune the measurement covariance matrix online by the degree of mismatch between the actual innovation and the theoretical. Simultaneously, the fuzzy factor can be continuously self-tuned tuned by the fuzzy logic reasoning system based on Takagi-Sugeno (T-S) model. Therefore, the proposed method improves the model adaptability to the actual systems and the environmental variations, and reduces the speed estimation error. Furthermore, a simple exponential function based on the fuzzy theory is used to reduce the computational burden, and the real-time performance of the system is improved. The correctness and the effectiveness of the proposed method are verified by the simulation and experimental results.

• 자원ㆍ환경경제연구
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• 제9권5호
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• pp.903-924
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• 2000

This paper examines the alternative method to measure the state of overall economic activity. The macroeconomic variables, used for business cycle, take more than a month after a period for collection and aggregation. The electricity generation data is compiled in mechanical ways just after the period. Based on this fact, we develop the two stage estimation method for coincident economic indicators in order to detect the business cycle in an earlier period, using Stock-Watson's Dynamic Factor Model. Using monthly data from 1970 to 1999, it is found that the experimental coincidence economic indicators are well-fitted to data and also that the estimates of two stage estimation method have good explanatory power, equivalent to the experimental coincidence economic indicators. While the RMSE of coincidence economic indicators is found to be 1.27%, that of the experimental coincidence economic indicators is found to be 1.31% and that of the two stage estimation method is around 1.44%. If we take consideration into the fact that it measures the business cycle in one month earlier, we come to the conclusion that the two stage estimation is of great use.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2004년도 추계학술대회 학술발표 논문집 제14권 제2호
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• pp.515-520
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• 2004

In this paper, a passive telemetry RF capacitive humidity sensor system using a RLSE(Recursive Least Square Estimation) technique is proposed. To overcome these trouble problems such as a power limitation and a estimation complexity that the general passive telemetry sensor system including It chip has, the principle of inductive coupling was applied to the modeling of a passive telemetry RF capacitive humidity sensor system and its capacitance was estimatedd by the RLSE algorithm. Specially, by introducing the optimal forgetting factor, we showed that the accuracy of its estimation was improved even in the time varying system and also the convergence time was reduced.

• 한국공작기계학회논문집
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• 제15권3호
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• pp.17-23
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• 2006

The strength estimation is carried out for injection molded plastic stepped gear. The stepped gear is considered as a plate model which is fixed by two edges and freed on the other sides. The stress of common normal gear is calculated by Lewis formula which can be derived quite simply from the equation fur the stress at the root of a cantilever beam. Stress ratio(step factor) between the common normal gear and stepped gear is proposed for the ratio of the bending stress of normal gear and that of stepped gear. This study proposes the step factor added in Dupont equation which is used for strength estimation of injection molded plastic stepped gear.

• 한국수자원학회논문집
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• 제30권5호
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• pp.495-501
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• 1997

펌프동력이 기지 값으로 주어져 있을 때, 유량이나 관경을 산정하는 경우 기존의 방법으로는 상당한 반복과정을 거쳐야 된다. 이에 유동훈과 강찬수(1996)는 균일조도 동력경사관인 경우 유량인 관경을 양해법으로 산정하는 식을 개발한 바 있다. 마찰계수 산정을 위한 지수함수식의 이용은 본 양해법 산정식의 개발을 가능하게 하였다. 유동훈(1995a)은 상용관이나 복합면을 가진 관의 마찰계수 산정을 위한 마찰계수 평균법을 제시한 바 있다. 그와 같은 접근방법으로 본고는 마찰계수 평균법을 상용관 마찰계수 산정식에 적용하여 동력경사 상용관의 유량이나 관경을 양해법으로 구할 수 있는 산정식을 개발하였다.

• 한국음향학회지
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• 제38권3호
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• pp.283-289
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• 2019

RLS(Recursive-least-squares) 알고리즘은 수렴성이 좋고, 수렴 후 오차 수준도 우수한 것으로 알려져 있다. 그러나 알고리즘 내에 역행렬 계산이 포함되어 수치적 불안정성을 나타내는 단점도 있다. 본 논문에서는 언급한 불안정성을 회피하기 위해서 역행렬이 없지만 수렴성이 유사한 알고리즘을 제안한다. 이를 위해서 기울기 평균 벡터를 사용한 가변 스텝 최소 자승 알고리즘을 사용한다. 또 시변 채널 추정에 우수한 성능을 내기 위해서 계산량이 적은 가변 망각인자를 도입한다. 시뮬레이션을 통해서 기존 RLS와의 성능을 비교하고 그 유사성을 보인다. 또 시변 채널에서 가변 망각인자의 우수성도 보인다.

• The Journal of Asian Finance, Economics and Business
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• 제6권2호
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• pp.63-73
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• 2019

The paper aims to investigate relationships between technology and innovation management, total factor productivity and economic growth in China. By comparing the trends in total factor productivity growth of industrialized economies (i.e. OECD), this study intends to showcase the importance of total factor productivity progress in the Chinese economy. The study employs time series data of an annual basis for the period from 1977 to 2016 retrieved from the World Development Indicator. The study employs unit root test, cointegration test, fully modified least squares estimation method, canonical cointegrating regression and dynamic least squares estimation method to test the hypotheses. The results of the cointegrating regression analysis show that manufacturing growth leads to an increase of total factor productivity in the short-run in China. The findings of the study suggest that manufacturing (i.e. technology and product innovation) is positively related to the increase of total factor productivity in the short-run and total output growth in the long-run. The findings suggest that promoting technology and innovation management and supporting R&D subsidies may reduce the marginal cost of conducting R&D and increase the rate of technology and innovation management and R&D activity and therefore, the total factor productivity growth rate.

• 정보처리학회논문지D
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• 제15D권1호
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• pp.61-72
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• 2008

성공적인 소프트웨어 프로젝트 수행을 결정짓는 중요한 작업 중의 하나는 프로젝트 개발 초기에 소프트웨어 개발 비용을 정확하게 산정하는 것이다. 정확한 산정을 위해서는 빠르게 변화하고 있는 개발 환경 및 기술 변화에 따른 변경 요인을 비용 산정 과정 시 반영시켜야 하며 이를 위해서는 적절한 보정계수 선정과 보정계수 값 적용이 중요시된다. 이에 본 논문에서는 소프트웨어 개발비 대가기준을 위한 어플리케이션 유형 보정계수와 언어 보정계수 산정을 위해 AHP 기법을 적용하였다. 또한, 민감도 분석을 통하여 각 판단 기준이 보정계수에 미치는 영향을조사하였다. 결론적으로, 어플리케이션 유형 보정계수 값은 처리 복잡도에 비해 데이터관리 복잡도와 제어 복잡도에 민감하게 반응하며 또한, 언어 보정계수 값은 디버깅 시간에 비해 개발인력의 보편성과 개발코딩 시간에 더 민감하게 반응하였다. 향후, 연구과제로는 국내의 소프트웨어 개발 환경과 기술을 적절히 반영시킬 수 있는 추가적인 보정계수 결정과 적절한 보정계수 값 조정에 대하여 연구할 것이다. 또한, 언어 보정계수에서는 구체적인 프로그래밍 언어를 들어 좀더 세부적으로 구분한 후 보정계수를 산정하고자 한다.