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        Effects of Biodegradable Imidazolium-Based Ionic Liquid with Ester Group on the Structure and Properties of PLLA

        Hao Guan Gui,Yun Sheng Ding,Yu Li,Shouyu Chen,Pei Xu,Bin Zheng 한국고분자학회 2014 Macromolecular Research Vol.22 No.6

        Blends of poly(L-lactide) (PLLA) and a functional ionic liquid (IL), 3-methyl-1-(ethoxycarbonylethyl) imidazoliumtetrafluoroborate ([AOEMIm][BF4]) with various weight ratios were prepared by melt compounding andtheir interactions, compatibilities, processing characteristics, crystallization behaviors, mechanical properties and thermaldegradation were investigated in this study. The interaction between PLLA and [AOEMIm][BF4] was first studiedby infrared spectroscopy (IR) investigation, and then the Flory-Huggins interaction parameter between PLLA and[AOEMIm][BF4] was calculated. The compatibility was also supported by both sample appearance and scanning electronmicroscopy (SEM) results. Crystallization and melting conditions were obtained from differential scanning calorimetry(DSC), and the glass transition temperature (Tg) of PLLA showed a gradual decrease with the increasing addition of[AOEMIm][BF4]. The balancing torque data were obtained by Haaker torque rheometry, and the molecular weight data ofprocessed PLLA obtained by gel permeation chromatography (GPC) tests reflected a positive effect of [AOEMIm][BF4]on the melt-processing of PLLA. A strong increase of the mechanical parameters of PLLA, such as the elongation atbreak and the impact strength, was observed with the incorporation of [AOEMIm][BF4] up to the content of 7 phr (phris the abbreviation for parts per hundreds of resin, n phr denoted n g IL/100 g PLLA), while the tensile strength decreasedslightly. The thermal stability of PLLA took a sustained downward trend, with the increasing contents of [AOEMIm][BF4] inits matrices, as presented from thermogravimetric analysis (TGA). PLLA blended with 5 phr [AOEMIm][BF4] achievedexcellent overall performance; as well, the mechanical properties improved considerably, and damage to the thermal stabilitywas acceptable.

      • KCI등재

        Dielectric and Conductivity Properties of Poly(L-lactide) and Poly(L-lactide)/Ionic Liquid Blends

        Pei Xu,Hao Guan Gui,Shan Zhong Yang,Yun Sheng Ding,Qian Hao 한국고분자학회 2014 Macromolecular Research Vol.22 No.3

        Dielectric relaxation spectroscopy (DRS) was employed to study the dielectric and conductivity propertiesof poly(L-lactide) and poly(L-lactide)/ionic liquid (IL) blends. The experimental dielectric data were analyzedwithin the formalism of complex permittivity. The results were discussed in terms of AC conductivity, αN relaxationcorresponding to the longest normal mode motion, α relaxation originating from the segmental mode motion, andDC conductivity. The results revealed that the motion of the polymer chains governs the charge carrier transport. The temperature dependence of the relaxation times follows the Vogel-Tammann-Fulcher (VTF) equation. Theincorporation of IL into the matrix accelerates the segmental (α) and normal mode (αN) motions and the conductivity,and increases the charge carrier movement of IL following the longest αN motion of chains, which led to an increasein the relaxation strength of the αN relaxation.

      • KCI등재

        CNN-based Skip-Gram Method for Improving Classification Accuracy of Chinese Text

        ( Wenhua Xu ),( Hao Huang ),( Jie Zhang ),( Hao Gu ),( Jie Yang ),( Guan Gui ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.12

        Text classification is one of the fundamental techniques in natural language processing. Numerous studies are based on text classification, such as news subject classification, question answering system classification, and movie review classification. Traditional text classification methods are used to extract features and then classify them. However, traditional methods are too complex to operate, and their accuracy is not sufficiently high. Recently, convolutional neural network (CNN) based one-hot method has been proposed in text classification to solve this problem. In this paper, we propose an improved method using CNN based skip-gram method for Chinese text classification and it conducts in Sogou news corpus. Experimental results indicate that CNN with the skip-gram model performs more efficiently than CNN-based one-hot method.

      • KCI등재

        Channel Fading Effect Analysis on Diffusion Cooperation Strategies over Adaptive Networks

        ( Jie Yang ),( Ehsan Mostafapour ),( Amir Aminfar ),( Jie Wang ),( Hao Huang ),( Afsaneh Akhbari ),( C. Ghobadi ),( Guan Gui ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.1

        In this paper, we investigate the performance of the diffusion adaptation strategies for parameter estimation in wireless adaptive networks, where the nodes exchange information over noisy and fading wireless channels. This paper shows the differences between the effect of Rayleigh and Rician fading over wireless adaptive networks and proves that the Rician fading is a more practical model in such kinds of networks. Simulation results imply that the effect of Rayleigh fading is more degrading for the estimation process than Rician fading. Also, the simulation results show the performance of adapt then combine (ATC) diffusion algorithm is better than the combine then adapt (CTA) algorithm by merely considering noise in wireless channels. While the performance of CTA prevails ATC over the wireless adaptive network in the presence of noise plus channel fading.

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