• Title/Summary/Keyword: determination model

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인공위성 자세결정 시스템을 위한 등가 오차모델 (Equivalent Error Model for Spacecraft Attitude Determination System)

  • 조윤철;유명종
    • 제어로봇시스템학회논문지
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    • 제9권10호
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    • pp.852-860
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    • 2003
  • We introduce the error models for an attitude determination system(ADS) with gyroscopes and stellar sensor. The ADS error models are derived according to the definition of the reference frame and of the attitude error. The equivalent error models applicable to the attitude determination system with large attitude errors are presented. The simulation results show that the proposed error models improve performance of the attitude determination system.

콘크리트 스트럿 유효강도 결정방법의 적합성 평가 (Validity Evaluation of Determination Methods of Effective Concrete Strut Strength)

  • 윤영묵
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 2003년도 가을 학술발표회 논문집
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    • pp.595-599
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    • 2003
  • For implementation of the strut-tie model approach to the practical analysis and design of structural concrete, the effective strengths of concrete struts in a strut-tie model, which have a crucial effect on the determination of strut and tie forces and the validity verification of strut-tie model's geometric compatibility condition, have to be determined accurately. In this study, the validity of the methods for determining the effective strengths of concrete struts was evaluated by conducting the strut-tie model analyses of the three reinforced concrete deep beams tested to failure with the effective strengths of concrete struts obtained from the suggested determination methods.

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수정 결정계수를 사용한 로지스틱 회귀모형에서의 변수선택법 (Variable Selection for Logistic Regression Model Using Adjusted Coefficients of Determination)

  • 홍종선;함주형;김호일
    • 응용통계연구
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    • 제18권2호
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    • pp.435-443
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    • 2005
  • 로지스틱 회귀모형에서 결정계수는 선형 회귀모형보다 다양하게 정의되며 그 값들도 매우 작아 로지스틱 회귀모형 평가기준으로 사용되는 통계량이 라고 할 수 없다. Liao와 McGee(2003)는 부적절한 설명변수의 추가 또는 표본크기의 변화에 민감하지 않은 두 종류의 수정 결정계수를 제안하였다. 본 연구에서는 실제자료에 적용한 로지스틱 회귀모형에서 수정 결정계수를 포함한 네 종류의 결정계수들을 변수선택의 기준으로 사용하여 기존의 변수선택 방법인 전진선택, 후진제거, 단계적 선택방법, AIC 통계량 등을 사용한 방법들과 비교하여 그 적절함과 효율성을 토론한다.

A TIME DETERMINATION MODEL INCORPORATING RISK MANAGEMENT BASED ON MALAYSIAN CASE STUDIES

  • Sim Nee Ting;Chung Thing Chong
    • 국제학술발표논문집
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    • The 3th International Conference on Construction Engineering and Project Management
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    • pp.642-648
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    • 2009
  • Determining the total duration for a construction project is an integral part of project management in the construction industry. This is to ensure the project and all its associated activities can be carried out and completed within the time frame stipulated. There are several commonly used scheduling methods and techniques in project management, some of which involves manual calculation while others involve computer software. This paper looks into the various time determination methods, extracting out their differences and similarities. It also seeks to draw out the problems when determining time for projects, especially those encountered of case studies. Based on the results from the case studies, there were delays on certain projects even though time determination had been carried out rigorously prior to the commencement of the projects. This paper seeks to develop a time determination model, which incorporates risk management techniques into the calculations in order to improve the method for time estimation to minimize the chances of project delay.

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유아의 행동억제가 자기결정성에 미치는 영향: 어머니의 양육불안과 자율성 지지의 순차매개효과 (Effects of Behavioral Inhibition in Young Children on Self-Determination: Sequential Mediating Effects of Mother's Parenting Anxiety and Autonomy Support)

  • 김지효;신나리
    • 한국보육지원학회지
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    • 제19권6호
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    • pp.97-113
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    • 2023
  • Objective: The purpose of this study is to investigate the effect of young children's behavioral inhibition on self-determination, examining the sequential mediating effects of mothers' parenting anxiety and autonomy support. Methods: Participants in this study were 225 mothers with children aged 6 years. An online survey was conducted, and SPSS Statistics 23.0 was used for basic analysis. The research model used the Process Macro 4.0 program. Results: The higher the level of behavioral inhibition, the lower the child's self-determination. Furthermore, a mediating effect was confirmed when parenting anxiety was added. However, in the single mediation model and the sequential mediation model in which autonomy support was added, the direct effects of behavioral inhibition temperament and parenting anxiety on self-determination disappeared. As a result, behavioral inhibition characteristics were found to have an indirect effect on self-determination through the sequential mediating effects of mother's parenting anxiety and autonomy support. Conclusion/Implications: If a mother with a child with a behaviorally inhibited temperament properly handles the negative emotions experienced during parenting based on her understanding of the child and supports the child to have a high degree of autonomy, she can enhance the child's right to self-determination.

전문가 시스템을 이용한 모델 추종 시스템의 기준 모델 선정 (A Determination of the Reference Model for the Model Following System using an Expert System)

  • 문동욱;황영문;강영호;이후민;김낙교
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1996년도 하계학술대회 논문집 B
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    • pp.1069-1072
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    • 1996
  • In modern control engineering, the model following system is a typical method. The model following system's performance is due to algorithm of control law, accuracy of modeling to the plant, and dynamics of the reference model. But the determination of the reference model depends on knowledge of an expert. Using an expert system, the determination method of the reference model was proposed in this paper. So, the reference model can be selected by user who has no Knowledge of dynamics and parameters.

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Effects of CEO's Self-Determination on Start-up Entrepreneurship and Business Performance in Service and Distribution SMEs

  • SHIN, Hyang-Sook;BAE, Jee-Eun
    • 한국프랜차이즈경영연구
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    • 제11권4호
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    • pp.31-44
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    • 2020
  • Purpose: The purpose of this study is to examine the effects of CEO's self-determination on entrepreneurship, business performance (operational and financial performance). Also, this research provide some strategic insights for improving business performance. In the proposed model, self-determination consists of autonomy, competence, and relatedness, and entrepreneurship consists of innovation, initiative and risk sensitivity, and proactiveness. More specifically, this study proposes a framework that entrepreneurship and operational performance will play mediating roles between self-determination and financial performance. Research design, data, methodology: In this study, an online survey was conducted on SME CEOs for analysis, and a total of 122 samples were used. In the analysis process for hypothesis verification and evaluation, frequency analysis was first performed to identify the demographic characteristics of the respondents, and confirmatory factor analysis was conducted to assess the reliability and validity of the measurement model. In addition, a structural model analysis was conducted to examine the structural relationships between CEO's self-determination, entrepreneurship, and business performance (operational and financial performance) using SmartPLS 3.0. Results: The findings and summary are as follows. First, the autonomy of self-determination has a positive effect on entrepreneurship. Second, the competence of self-determination affects entrepreneurship and operational performance. Third, it affects the innovation, initiative and risk sensitivity of the CEO's entrepreneurship, and ultimately, its operational performance. The results show that the business performance of Start-up also increases when self-determination can be a factor in increasing entrepreneurship in three sub-dimensionalities. Conclusions: The conclusion of this study is that in order for SMEs to develop into a sustainable company by securing competitiveness after start-up, external motivation such as external help and support from the state (local government) is important, but competence and relationship, which are components of self-determination. The intrinsic motivation of the CEO may be more important. To this end, CEO's should prioritize learning for competency development, and the government should pay attention to providing various educational programs through establishment of education policies and education systems to enhance the competency of start-up CEO's.

Learning motivation of groups classified based on the longitudinal change trajectory of mathematics academic achievement: For South Korean students

  • Yongseok Kim
    • 한국수학교육학회지시리즈D:수학교육연구
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    • 제27권1호
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    • pp.129-150
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    • 2024
  • This study utilized South Korean elementary and middle school student data to examine the longitudinal change trajectories of learning motivation types according to the longitudinal change trajectories of mathematics academic achievement. Growth mixture modeling, latent growth model, and multiple indicator latent growth model were used to examine various change trajectories for longitudinal data. As a result of the analysis, it was classified into 4 subgroups with similar longitudinal change trajectories of mathematics academic achievement, and the characteristics of the mathematics subject, which emphasize systematicity, appeared. Furthermore, higher mathematics academic achievement was associated with higher self-determination and higher academic motivation. And as the grade level increases, amotivation increases and self-determination decreases. This study suggests that teaching and learning support using this is necessary because the level of learning motivation according to self-determination is different depending on the level of mathematics academic achievement reflecting the characteristics of the student.

변형된 강도함수를 적용한 소프트웨어 신뢰모형의 신뢰성능 비교 평가에 관한 연구 (A Study on the Reliability Performance Evaluation of Software Reliability Model Using Modified Intensity Function)

  • 김희철;문송철
    • Journal of Information Technology Applications and Management
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    • 제25권2호
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    • pp.109-116
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    • 2018
  • In this study, we was compared the reliability performance of the software reliability model, which applied the Goel-Okumoto model developed using the exponential distribution, to the logarithmic function modifying the intensity function and the Rayleigh form. As a result, the log-type model is relatively smaller in the mean squared error compared to the Rayleigh model and the Goel-Okumoto model. The logarithmic model is more efficient because of the determination coefficient is relatively higher than the Goel-Okumoto model. The estimated determination coefficient of the proposed model was estimated to be more than 80% which is a useful model in the field of software reliability. Reliability has been shown to be relatively higher in the log-type model than the Rayleigh model and the Goel-Okumoto model as the mission time has elapsed. Through this study, software designer and users can identify the software failure characteristics using mean square error, decision coefficient. The confidence interval can be used as a basic guideline when applying the intensity function that reflects the characteristics of the lifetime distribution.

인공신경망 이론을 이용한 척도인자 결정방법의 향상방안에 관한 연구 (A Study on the Improvement of Scaling Factor Determination Using Artificial Neural Network)

  • Sang-Chul Lee;Ki-Ha Hwang;Sang-Hee Kang;Kun-Jai Lee
    • 방사성폐기물학회지
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    • 제2권1호
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    • pp.35-40
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    • 2004
  • Final disposal of radioactive waste generated from Nuclear Power Plant (NPP) requires the detailed information about the characteristics and the quantities of radionuclides in waste package. Most of these radionuclides are difficult to measure and expensive to assay. Thus it is suggested to the indirect method by which the concentration of the Difficult-to-Measure (DTM) nuclide is estimated using the correlations of concentration - it is called the scaling factor - between Easy-to-Measure (Key) nuclides and DTM nuclides with the measured concentration of the Key nuclide. In general, the scaling factor is determined by the log mean average (LMA) method and the regression method. However, these methods are inadequate to apply to fission product nuclides and some activation product nuclides such as 14$^{C}$ and 90$^{Sr}$ . In this study, the artificial neural network (ANN) method is suggested to improve the conventional SF determination methods - the LMA method and the regression method. The root mean squared errors (RMSE) of the ANN models are compared with those of the conventional SF determination models for 14$^{C}$ and 90$^{Sr}$ in two parts divided by a training part and a validation part. The SF determination models are arranged in the order of RMSEs as the following order: ANN model

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