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Preparation and Characterization of Silk Sericin/Glycerol/Graphene Oxide Nanocomposite Film
Yun, Haesung,Kim, Moo Kon,Kwak, Hyo Won,Lee, Jeong Yun,Kim, Min Hwa,Kim, Eui Hwa,Lee, Ki Hoon 한국섬유공학회 2013 FIBERS AND POLYMERS Vol.14 No.12
Sericin (SS) is a protein that is secreted by silkworms, but it is usually discarded during the degumming process. To obtain and make use of the sericin, we prepared sericin/glycerol/graphene oxide nanocomposite film. The inherent brittleness of pure sericin film was improved by the addition of glycerol (Glc) as a plasticizer. To compensate for the reduced stiffness, we added graphene oxide (GO) into the SS/Glc film. At concentrations of up to 0.8 wt% relative to SS, GO dispersed evenly in the SS matrix without any agglomeration. The maximum tensile strength ($9.5{\pm}0.7MPa$) and Young's modulus ($414.4{\pm}23.2MPa$) were obtained when the GO content was 0.8 wt% relative to SS. The elongation of SS/Glc/GO nanocomposite film also increased by approximately 40 % compared to SS/Glc film. The strong interfacial interaction between the SS and the GO was responsible for the increased stiffness. The increased elongation was due to the reduced crystallinity of the sericin matrix in the presence of GO.
Downlink Spectrum Sharing of Heterogeneous Communication Systems in LEO Satellite Network
Yun, Jihyeon,An, Taegun,Jo, Haesung,Ku, Bon-Jun,OH, Dae-Sub,Joo, Changhee 한국통신학회 2022 Journal of communications and networks Vol.24 No.6
We study downlink spectrum sharing in low earthorbit (LEO) satellite networks, where wide beam coverage andside lobe beam make it hard to manage mutual interferencebetween satellites. As a first step, we consider a two-satellitesystem of control satellite and interference satellite, which sharethe same frequency spectrum range and are located close enoughto have interference each other. We investigate resource allocationstrategy for the control satellite to maximize its throughputperformance while satisfying interference constraints. Assumingthat the control satellite has no prior knowledge about thebehavior of the interference satellite, we develop online frequencyallocation algorithms that successfully manage the interferenceby employing a learning-based design with UCB index. Underthe proposed algorithms, we can maximize throughput of thecontrol satellite while constraining interference at the interferencesatellite as well as at the control satellite, without any directinformation exchange with the interference satellite. Throughsimulations, we demonstrate that the proposed schemes achievehigh throughput performance satisfying interference constraints.