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논문검색

Study of Engine Oil Replacement Time Estimate Method using Fuzzy and Neural Network Algorithm in Ubiquitous Environment

초록

영어

To improve these unscientific methods, I would like to design a system that automatically tells replacement time of engine oil by fuzzy algorithm. There are ‘time series analysis’ and ‘cause and effect’ analysis in quantitative method. Time series analysis is to forecast the value by choosing one variable with the basis of historical data. All methods of demanding forecasting belong to time series analysis. Cause and effect analysis is the method, which makes a model by the relation between past values of other variables and the particular variable when the variable is influenced by other variables. In the thesis to replace engine oil in optimum time and to be aware of right replacement time of engine oil automatically.

목차

Abstract
 1. Introduction
 2. Examination of Condition of Engine Oil
 3. Forecasting the replacement time of engine oil by using neural net
 4. Fuzzy algorithm for replacement of engine oil
 5. Conclusion
 References

저자정보

  • Chang Duk Jung Dept. of computer and information Korea University, Seoul, South Korea
  • Jang Mook Kang Dept. Of Computer Engineering, Sejong University, South Korea
  • Chan Hyuk Park Dept. of software Korea University, Seoul, South Korea

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