A highly dispersive silver nanowires (AgNWs) in epoxy matrix were obtained by introducing amino groups onto the surface of AgNWs. Firstly, modification of thioglycolic acid to the surface of AgNWs were conducted via the coordination bond between AgNWs and thiol groups (AgNWs@COOH). And then amido-functionalized AgNWs (AgNWs@NH 2 ) were prepared through the amidation reaction between triethylenetetramine (TETA) and carboxyl. Chemical structure and properties of the AgNWs-epoxy nanocomposites were represented by TEM, EDS, FT-IR, UV, TAG, DSC and SEM. Results revealed that because amino groups participated in the epoxy curing reaction, chemical bond was formed at the interface to improve the dispersion of AgNWs@NH 2 . Thus, antistatic and thermal conductivity performances were enhanced by well constructed the electrostatic discharge channel in epoxy matrix. The surface resistivity of AgNWs@NH 2 -epoxy nanocomposite was decreased to 1.24×10 5 Ω at 0.5 Vt%, and thermal conductivity coefficient was upgraded to 0.67 W/m•k at 10 Vt%. long time after organic antistatic agents migrated and lost [18][19]. Thus antistatic fillers had been concerned gradually, such as metallic stuffing and carbon materials. Kozlowski prepared electrically conductive polymer composites by filling carbon black into HDPE, PS, PP, HDPE/PS and HDPE/PP. The obtained composites achieved the lowest percolation threshold at 2wt% which resulted in electrical resistance of 10 7 Ωm [20].Zeng prepared antistatic multi-layer grapheme filled PVC composite films, and investigated electrical conductivity, tensile behavior and thermal properties of the composite films. The surface electrical conductivity of the composites was less than 3× 10 8 Ohm/square when the grapheme was about 3.5wt%, meeting antistatic requirement for commercial antistatic PVC films [21]. Furthermore, Ag had the best electrical and thermal conductivity among all the metal materials.When filled in epoxy resin, the antistatic and thermal conductivity of epoxy composites mainly depended on the metal fillers because there were a large number of free electrons in the metal fillers and its electrical/thermal conductivity were much better than that of resin matrix [22][23]. One-dimensional AgNWs fibrous structure could form conductive network more easily in epoxy matrix, which could greatly reduce the percolation threshold of the filler [24]. Slenderness ratio was one of the main factors which could affect conductivity. In a certain range, the greater L/D ratio was, the better electric conductivity, because of the more chances to develop continuous conductive network. In this paper, high aspect ratio AgNWs were prepared using liquid phase polyol method [25][26][27][28]. The conductivity mechanism of AgNWs in the epoxy matrix could be expressed in the following diagram (Fig.1). Part of the conductive AgNWs completely continuous contacted with each other to form unbroken current path, equivalent to the current flowed through a resistor R L . Another situation was incomplete contact of the conduct...
Most of the existing linguistic steganalysis methods mainly focus on detecting steganographic texts which are generated by embedding secret information into a type of text medium using one steganographic algorithm. But in practical applications, a large number of the steganographic texts may be hybrid ones which are generated by embedding secret information into different types of text media using different steganographic algorithms. In this paper, inspired by transfer learning, a novel linguistic steganalysis method is proposed to detect hybrid steganographic texts. The proposed method first uses the pre-trained BERT language model to obtain initial context-dependent word representations. Then the extracted features are fed into attentional Long Short-Term Memory (LSTM) to get the final contextual representations of sentences. The experimental results show that the proposed method can better satisfy the practical application demands than the existing linguistic steganalysis methods.
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