• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.329-334
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• 2004

The objective of this study regards the preceding condition of the construction disposal of waste which is appropriate, with occurrence quantity DB anger the occurrence quantity prediction which is accurate the regression model which it sees and with the method which is mote accurate prediction method of existing than to sleep it presents it does. This study acquires apartment results data of public construction and civil construction, and chose factor that exert biggest influence on the waste occurrence amount through question and interview memorial address by regression model variable. And presented regression mode] which uses statistics program named SPSS. Result of this study by regression model through constant results data DB anger existent error big experience than estimate method that corrector estimation is available show.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.34 no.4
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• pp.399-405
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• 2010

The grasping motion of a person's hand for a simplified degree of freedom was modeled by using the photographic motion measured by a high-speed camera. The mathematical expression of distal interphalangeal (DIP) motion was developed by using relation models of the metacarpophalangeal (MCP) and proximal interphalangeal (PIP) motions to reduce the degree of freedom. The mathematical expression for humanoid-hand operation obtained using a learning algorithm with a neural network and using a kernel regression model were compared. A feasible model of hand operation was obtained on the basis of comparative data analysis by using the kernel regression model.

• The KIPS Transactions:PartD
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• v.9D no.4
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• pp.603-612
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• 2002

Area of software measurement in software engineering is active more than thirty years. There is a huge collection of researches but still no concrete software development effort and cost estimation model. If we want to measure the effort and cost of a software project, we need to estimate the size of the software. A number of software metrics are identified in the literature; the most frequently cited measures are LOC (line of code) and FPA (function point analysis). The FPA approach has features that overcome the major problems with using LOC as a measure of system size. This paper presents simple linear regression model that related software development effort to software size measured in FP. The model is derived from the plotting of the effort and FP relation. The experimental data are collected from 789 software development projects that were recently developed under the various development environments and development methods. Also, the model is compare with other regression analysis model. The presented model has the best estimation ability among the software effort estimation models.

• Proceedings of the Acoustical Society of Korea Conference
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• 1998.08a
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• pp.99-104
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• 1998

한국어의 자연스러운 음성합성을 위해 280문장에 대하여 남성화자 1명이 발성한 문음성 데이터를 음운 세그먼트, 음운 라벨링, 음운별 품사 태깅하여 음성 코퍼스를 구축하였다. 이 문 음성 코퍼스를 사용하여 음운환경, 품사 뿐만 아니라 구문 구조에 이하여 음운으 lwlthrtlrks이 어떻게 변화하는가에 대하여 xhdrPwjrdfmh 분석하였다. 음운 지속시간을 보다 정교하게 예측하기 위하여, 각 음운의 고유 지속시간의 영향이 배제된 정규화 음운지속시간을 회귀트리를 이용하여 모델화하였다. 평가결과, 기존의 회귀트리를 이용한 음운지속시간 모델에 의한 예측오차는 87%정도가 20ms 이내 이었지만, 정규화 음운 지속시간 모델에 의한 예측 오차는 89% 정도가 20ms 이내로 더욱 정교하게 예측되었다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.2
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• pp.53-66
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• 2023

Role models are also known to influence an individual's job or career choice. The positive effect of role models on entrepreneurship has already been revealed through many precious researches. It is said that people choose not only family members who are related by blood, such as parents, siblings, and relatives, but also acquaintances whom they have met through social relationships as role models. In this study, we divided into entrepreneurs with no role models other than themselves and entrepreneurs with role models. In addition, we classified parental siblings and relative role models as role models with strong ties, and acquaintance role models as role models with weak ties. We analyzed the differences in personal attributes, entrepreneurial orientation factors, and learning orientation between the entrepreneurs with role models and those without role models. Also, the differences in personal attributes, innovativeness, proactiveness, risk-taking propensity, and learning orientation between the entrepreneurs with strong ties role models and those with weak ties role models were examined. The empirical analysis results are as follows. First, it was found that the proportion of women entrepreneurs without role models is higher. Second, the entrepreneurs with role models with weak ties tend to run larger scale start-ups. Third, it was found that the entrepreneurs with role models of weak ties tend to have higher learning orientation. Fourth, gender shows the greatest influence on th absence or presence of role models. Fifth, it was found that learning orientation and startup size have the greatest influence on the decision of the role model with weak ties or that with strong ties.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.34 no.3
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• pp.67-73
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• 2006

In this paper, a reconfigurable model following flight control method is proposed based on direct adaptive scheme using parameter estimation. Adaptive control scheme updates the control gains to make the system output follow the reference output even when fault occurs. By adopting the frequency domain parameter estimation method, system changes by the fault can be estimated. Recursive Fourier transformation is used for system identification. Using recursive Fourier transform, the proposed adaptive control algorithm guarantees the system stability and improves the system characteristics. To evaluate the performance of proposed control method, numerical simulations are performed.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.631-633
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• 2022

인체 선형 모델 (이하 SMPL 모델)은 3 차원 사람 모델로, 3 차원 컴퓨터 그래픽 기술이 발전함에 따라 활용 범위가 확대될 수 있다. 다운샘플링 (Down-sampling)으로 여러 해상도의 SMPL 모델이 사용가능 하다면, 3 차원 컴퓨터 그래픽 기술 발전에 도움이 될 것이다. 3 차원 모델의 다운샘플링을 위한 많은 메쉬 단순화 (Mesh simplification) 기법이 존재한다. 하지만 기존의 기법만을 사용하면 다운 샘플링 한 모델의 자세 (Pose)를 변경했을 때 기대한 것과 다른 결과물이 만들어지는 문제가 발생한다. 본 논문에서는 가장 가까운 정점으로 SMPL 모델의 관절 회귀자 (Joint regressor) 값을 넘겨주어 문제를 해결하는 다운샘플링 (Down-sampling) 방법을 제시한다.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.5
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• pp.477-482
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• 2015

Linear regressions and evolutionary nonlinear regression based compensation techniques for the short-range prediction of wind speed are investigated. Development of an efficient MOS(Model Output Statistics) is necessary to correct systematic errors of the model, but a linear regression based MOS is hard to manage an irregular nature of weather prediction. In order to solve the problem, a nonlinear and symbolic regression method using GP(Genetic Programming) is suggested for a development of MOS for wind speed prediction. The proposed method is compared to various linear regression methods for prediction of wind speed. Also, statistical analysis of distribution for UM elements for each method is executed. experiments are performed for KLAPS(Korea Local Analysis and Prediction System) re-analysis data from 2007 to 2013 year for Jeju Island and Busan area in South Korea.

• Journal of environmental and Sanitary engineering
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• v.22 no.2
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• pp.61-73
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• 2007

PCBs의 대기 중 농도는 고용량 PUF sampler를 이용하여 2000년부터 2002년까지 주 1회 수도권 인근지역인 경기도 안성에서 측정하였다. 본 논문은 비선형 회귀모델을 이용하여 대기 중 가스상 PCBs의 연간, 월간 사이클을 평가 하고자 한다. Clausius-Clepeyron 식을 이용한 가스상 PCBs의 기울기는 고분자로 갈수록 증가하는 경향이었다. 이는 고분자 PCBs는 저분자 PCBs에 비해 온도 의존성이 크다는 것을 의미한다. 다시 말해, 고분자 PCBs는 다른 지역에서 장거리 이송되어 오는 오염물질의 영향 보다는 지역적인 오염원(예, 토양, 수계 등)에 의해 영향을 크게 받고 있다는 것을 시사한다. Lorentzian 모델을 이용한 총 PCBs의 일별, 월별 회귀식의 결정계수($R^2$)는 각각 0.62(p<0.0001), 0.88(p<0.0001)로 나타나 유의한 결과를 보였다. 또한, 비선형 회귀식 모델을 활용하여 구한 가스상 PCBs의 일별, 월별 싸이클을 모사한 방정식도 매우 유의한 결과(p<0.0001)를 나타내었다.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.12 no.19
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• pp.31-37
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• 1989

The recursive residuals are obtained by the iterative processes as descrbed in section 2. They may require more efforts and time to compute and may face difficultie in ordering of data. But we can investigate each case to be deleted and gather more informations on each case. The recursive residuals are much more effective with conjecture of cusum technique. We suggest to use the predicted residual for the construction of recursive residuals in nonlinear regression models. The assessment of influence and leverage by the connection with recursive residuals will be necessary.