The current study aims to analyze the process of fabric production planning in Dongdaemun Market, which is a successful model case industrial integration in South Korea. We followed the changes in perception among fabric experts, regarding their recognition of fashion trends, and the following planning and process of fabric production. We used the purpose sampling method to select participants for interview in the Dongdaemun Market, then we carried out one-to-one interviews. Our analysis reveals 4 points of importance. First, the fabric planning stage either employed the trend book swatch, or simply reused the model fabrics already available. Even though the experts felt the need to accept the latest fashion trends, very few considered the trends as positive influences in fabric planning. Whereas trend was a key element in identifying the flow of the fashion industry, there were obstacles in carrying out the study. Second, experts frequently participated in domestic fabric seminars, but not in textile exhibitions. Third, domestic and overseas market research has been performed typically at department stores, and typically at Japan. Fourth, the influx of Chinese fabrics has both positive and negative influences, such as low price, and low reliability. In conclusion, experts were less amenable to accepting the latest fashion trends. pre-requisites in real life to meet the use of the current trend of each company. More studies on the Dongdaemun Market from perspectives of practitioners are warranted.

Compressible, magnetohydrodynamic (MHD) turbulence in two dimension is studied through high-resolution, numerical simulations with the isothermal equation of state. First, hydrodynamic turbulence with Mach number (M)rms ~ 1 is generated by enforcing a random force. Next, initial, uniform magnetic field of various strengths with Alfvenic Mach number Ma ≫ 1 is added. Then, the simulations are followed until MHD turbulence is fully developed. Such turbulence is expected to exist in a variety of astrophysical environments including clusters of galaxies. Although no dissipation is included explicitly in our simulations, truncation errors produce dissipation which induces numerical resistivity. It mimics a hyper-resistivity in our second-order accurate code. After saturation, the resulting flows are categorized as SF (strong field), WF (weak field), and VWF (very weak field) classes respectively, depending on the average magnetic field strength described with Alfvenic Mach number, (Ma)rms ~1, (Ma)rms≥1, and (Ma)rms ≫ 1. The characteristics of each class are discussed.