• Title/Summary/Keyword: BC법

Search Result 2, Processing Time 0.014 seconds

Verification of Effectiveness of Soccer Shoe Brand 3I Model: Applying the Bootstrap BC Method (축구화 브랜드의 3i 모델 효과성 검증: 붓스트랩 BC법 적용 )

  • Shin, Jin-Ho
    • Journal of the Korean Applied Science and Technology
    • /
    • v.38 no.4
    • /
    • pp.1156-1164
    • /
    • 2021
  • This study sought to provide basic data on the soccer shoe brand strategy method by verifying the effectiveness of the soccer shoe brand 3i model to derive the importance and implications of the brand 3i model. Therefore, the sample was selected for those who have purchased soccer shoes for the past three years, and 421 copies of the data were applied to the final analysis. Data processing performed frequency analysis, internal consistency, confirmatory factor analysis, correlation analysis, and structural equation model analysis, all of which utilized SPSS (ver. 21.0) and AMOS (ver. 20.0) programs. The conclusions of this study are as follows. First, soccer shoe brand 3i model had a significant influence on brand trust. Second, brand trust had a significant influence on consumer purchasing behavior. Third, soccer shoe brand 3i model had a significant influence on consumer purchasing behavior. Lastly, brand trust between soccer shoe brand 3i model and consumer purchasing behavior showed partial mediated effect.

An Efficient BC Approach to Compute Fractal Dimension of Coastlines (개선된 BC법과 해안선의 프랙탈 차원 계산)

  • So, Hye-Rim;So, Gun-Baek;Jin, Gang-Gyoo
    • Journal of Navigation and Port Research
    • /
    • v.40 no.4
    • /
    • pp.207-212
    • /
    • 2016
  • The box-counting(BC) method is one of the most commonly used methods for fractal dimension calculation of binary images in the fields of Engineering, Science, Medical Science, Geology, etc due to its simplicity and reliability. It deals with only square images with each size equal to the power of 2 to prevent it from discarding unused pixels for images of arbitrary size. In this paper, we presents a more efficient BC method based on the original one, which is applicable to images of arbitrary size. The proposed approach allows the number of the counting boxes to be real to improve the estimation accuracy. The mean absolute error performance is computed on two deterministic fractal images whose theoretical dimensions are well known to compare with those of the existing BC method and triangular BC method. The experimental results show that the proposed method can outperform the two methods and assess the complexity of coastline images of Korea and Chodo island taken from the Google map.