• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.37.2-37
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• 2002

1. Introduction 2. Problem Formulation 3. Avoidability Measure And Relative Distance 4. Artificial Potential Field in Terms of Relative Distance 5. Simulation Results 6. Conclusions 7. Reference

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.38.2-38
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• 2002

1. Introduction 2. Potential theory and Local minimum problem 3. Discrete modeling method 4. Virtual obstacle concept and extra potential function 5. Simulations 6. Conclusions

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.57.2-57
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• 2002

1. Introduction 2. Dynamics of Aircraft Landing 3. ABS Control Unit 4. Test 5. Conclusions

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.67.2-67
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• 2002

$\textbullet$ Contents 1. Introduction $\textbullet$ Contents 2. Mathematical Modeling $\textbullet$ Contents 3. PID Parameter Application $\textbullet$ Contents 4. Simulations and Experiments $\textbullet$ Contents 5. Conclusions

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.67.3-67
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• 2002

$\textbullet$ Introductions $\textbullet$ Sensor system $\textbullet$ Driving System steering system $\textbullet$ Wireless communication system $\textbullet$ O/I (Operation/Interface) system $\textbullet$ Conclusions

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.119.1-119
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• 2002

$\textbullet$ Introduction: Service robot $\textbullet$ Design of the Guide Service Mobile Robot $\textbullet$ Path tracking algorithm $\textbullet$ Path recognition algorithm $\textbullet$ Localization $\textbullet$ Guide lever $\textbullet$ Conclusions: A mobile robot was developed as a service robot

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.79.5-79
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• 2002

$\textbullet$ Introduction $\textbullet$ Deterioration of wire rope $\textbullet$ Magnetic flux leakage Instrument $\textbullet$ Experiment setup $\textbullet$ Performance of the instrument $\textbullet$ Conclusions

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.119.4-119
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• 2002

$\textbullet$ Intoduction : Control architecture of PSR $\textbullet$ Layered functionality diagrams $\textbullet$ Class diagrams $\textbullet$ Petri-net based configuration diagram $\textbullet$ Experiments $\textbullet$ Conclusions

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.110.5-110
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• 2002

$\textbullet$Introduction $\textbullet$Previous Works $\textbullet$IKF and IIMM Method $\textbullet$Simulation Results $\textbullet$Conclusions

• Journal for History of Mathematics
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• v.13 no.1
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• pp.99-112
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• 2000

In this paper we discuss the teaching methods about statistical inferences. Bayesian methods have the attractive feature that statistical conclusions can be stated using the language of subjective probability. Simple methods of teaching Bayes' rule described, and these methods are illustrated for inference and prediction problems for one proportions. Also, we discuss the advantages and disadvantages of traditional and Bayesian approachs in teaching inference.