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Microstructures in Blue Feathers of the Common Kingfisher
Lee, Eunok,Bae, Haejin,Jeon, Deok-Jin,Ji, Seungmuk,Yeo, Jong-Souk,Kim, Jinhee National Institute of Ecology 2021 국립생태원회보(PNIE) Vol.2 No.1
We measured the sizes of microstructures and the reflectance of blue feathers in the Common Kingfisher (Alcedo atthis). The colors were mainly produced in the barbs, which were composed of keratin sponge layers with air spaces and melanin rods. The reflectance spectra of back and tail feathers of the Common Kingfisher showed a peak with a broad plateau in the visible wavelength, whereas those of the wing feathers showed peaks in ultraviolet and visible and short-wavelengths. Moreover, the reflectance of back and tail feathers was higher than that of wing feathers. The blue color of the feathers comes from the keratin sponge layer due to coherent scattering. The back and tail feathers are composed of the keratin sponge layer only, and the wing feathers are composed of the keratin sponge layer and the keratin honeycomb structure. Due to the difference in these structures, it supposed that the reflectance is different. Determining why the reflectance spectra of the back and tail feathers were flattened will require further study.
Building Stream Data Platform in Edge and Distributed Cloud Environment
Seunghwan Lee,Sunghwan Jeon,Haejin Chung,Yunmook Nah 한국차세대컴퓨팅학회 2021 한국차세대컴퓨팅학회 학술대회 Vol.2021 No.11
Recently, with the development of IoT technology, data has increased, and problems with the centralized cloud computing method are appearing. As an alternative to this, Edge Computing, a distributed cloud method that processes data close to the edge of the network where data is generated, is utilized. On the other hand, as the number of containers on one host increases, container management becomes difficult, and accordingly, container orchestration technology capable of configuring and managing a large number of containers is required. In this paper, we measure, compare, and analyze the time to transmit sensor data to the DB server of each Kubernetes cluster by building a multicluster infrastructure using Kubernetes, which is the most used container orchestration tool.