http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Analysis of Multifractal Strengths in Game Behaviors
유철환,이동인,김경식 한국물리학회 2015 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.66 No.10
In this paper, we study the multifractal structure and its property from the number of end stones, which means the number of stones on the board at the end of a game, in the Baduk game. We mainly estimate the generalized Hurst exponent, the Renyi exponent, and the singularity spectrum for the time-series data of the number of end stones via multifractal detrended fluctuation analysis. For three segments, we mainly simulate and analyze the multifractal strength in Baduk games with four players. Particularly, the results obtained for games with four players are compared to each other and analyzed in detail.
Dynamical Behaviors of Multifractal Strengths in Meteorological Factors
유철환,서성규,장기호,정진임,나성준,김경식 한국물리학회 2017 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.70 No.3
In this paper, we study the multifractal properties of cloud observation time-series data in Daegwanryung, Korea, containing two meteorological factors, the effective radius of a cloud droplet and the average particle size of a raindrop. We simulate and analyze the generalized Hurst exponent, the Renyi exponent, the spectrum, and the multifractal strength by using the multifractal detrended fluctuation analysis method. The result obtained may have a useful and effective influences on determining the observation location.
Dynamical Behavior of the Correlation between Meteorological Factors
유철환,장기호,이준호,김경식 한국물리학회 2017 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.71 No.12
We study the temporal and spatial variation characteristics of meteorological factors (temperature, humidity, and wind velocity) at a meteorological tower located on Bosung-gun of South Korea. We employ the detrended cross-correlation analysis (DCCA) method to extract the overall tendency of the hourly variation from data of meteorological factors. The relationships between meteorological factors are identified and quantified by using DCCA coefficients. From our results, we ascertain that the DCCA coefficient between temperature and humidity at time lag m = 24 has the smallest value at the height of 10 m of the measuring tower. Particularly, the DCCA coefficient between temperature and wind speed at time lag m = 24 has the largest value at a height of 10 m of the measuring tower