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Xiaoying Chang,Jikang Jian,Gemei Cai,Rong Wu,Jin Li 대한금속·재료학회 2016 ELECTRONIC MATERIALS LETTERS Vol.12 No.2
Three-dimensional FeSe2 microflowers were synthesized for the firsttime by a facile solvothermal method, using FeCl2·4H2O and seleniumpowder as raw materials, along with ethanolamine as solvent. Theproducts were characterized by X-ray diffraction (XRD), scanningelectron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS),transmission electron microscopy (TEM), and X-ray photoelectronspectroscopy (XPS). The results show that the FeSe2 microflowersconsist of nanosheets with a thickness of about 50 - 80 nm. The Ramanspectrum shows the characteristic peaks of Se-Se vibration modes. Theoptical band gap of the sample was determined to be 1.48 eV by UVvisibleabsorption spectroscopy. The photoluminescence properties ofthe FeSe2 microflowers and their catalytic activity for the hydrogenevolution reaction were also assessed. Finally, a possible growthmechanism of the FeSe2 microflowers is proposed.
Q-Learning based Collision Avoidance for 802.11 Stations with Maximum Requirements
Chang Kyu Lee,Dong-Hyun Lee,Junseok Kim,Xiaoying Lei,이승형 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.3
The IEEE 802.11 WLAN adopts a random backoff algorithm for its collision avoidance mechanism, and it is well known that the contention-based algorithm may suffer from performance degradation especially in congested networks. In this paper, we design an efficient backoff algorithm that utilizes a reinforcement learning method to determine optimal values of backoffs. The mobile nodes share a common contention window (CW) in our scheme, and using a Q-learning algorithm, they can avoid collisions by finding and implicitly reserving their optimal time slot(s). In addition, we introduce Frame Size Control (FSC) algorithm to minimize the possible degradation of aggregate throughput when the number of nodes exceeds the CW size. Our simulation shows that the proposed backoff algorithm with FSC method outperforms the 802.11 protocol regardless of the traffic conditions, and an analytical modeling proves that our mechanism has a unique operating point that is fair and stable.