Montri Phothisonothai

Learn More
The objective of this study is to analyze the spontaneous electroencephalographic (EEG) data corresponding to body parts movement imagery tasks in terms of fractal properties. We proposed the six algorithms of fractal dimension (FD) estimators; box-counting algorithm, Higuchi algorithm, variance fractal algorithm, detrended fluctuation analysis, power(More)
This paper proposes the novel method to assess Thai speech based on fractal analysis. The fractal algorithm, namely, Higuchi's method was selected to evaluate the fractal dimension (FD) of segmented speech signals. To show the FD changes in waveform over time, the time-dependent FD (TDFD) was proposed. Probability distribution of TDFDs using kernel density(More)
Power electronics technology has gained significant maturity after several decades of dynamic evolution of power semiconductor devices, converters, PWM techniques, electrical machines, motor drives, advanced control, and computer simulation techniques. With the maturing trend of the technology, 21st century will find tremendous emphasis on power electronics(More)
In this paper, we propose a method to classify electroencephalogram (EEG) signal recorded from left- and right-hand movement imaginations. Three subjects (two males and one female) are volunteered to participate in the experiment. We use a technique of complexity measure based on fractal analysis to reveal feature patterns in the EEG signal. Effective(More)
The objective of this study is to classify spontaneous electroencephalogram (EEG) signal on the basis of fractal concepts. Four motor imagery tasks (left hand movement, right hand movement, feet movement, and tongue movement) were investigated for each EEG recording session. Ten subjects volunteered to participate in this study. As we known, fractal(More)
User authentication system to identify individual by using electroencephalograph (EEG) feature based on steady-state visual evoked potential (SSVEP) has been proposed. Recently, SSVEP has been used as a stimulator due to it plays an important role in the response to various visual stimuli, i.e., flickering rate (F), intensity (I), and duty cycle (D).(More)
This paper proposes a classification method to determine maturity levels of durian by using fractal analysis. We used the automatic knocking machine to knock the durian in which the knocked-sound was analyzed in terms of fractal concepts, and the fractal dimension (FD) values to be presented as a feature. The fractal algorithm, namely, Higuchi's method was(More)