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RISS 인기검색어
- 검색키워드
- 저자 : Zhaolin Zhu (검색결과 4 건)
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Zhaolin Zhu,Yin Liu,Guiyang Xian,Yan Wang,Chongmei Wu,Xiaobo Peng,Jinxiang Wang,Lingbing Kong 한국고분자학회 2023 Macromolecular Research Vol.31 No.8
Hollow glass microspheres (HGMs), as a reinforcing material to prepare lightweight high-performance composites, have excellent mechanical properties. However, the composites prepared by simply mixing hollow glass microspheres with polymer resin have poor performance. In this study, compound coupling agent-modified HGM/EP composites were prepared by casting process with two silane coupling agents as compound coupling agents. Scanning electron microscopy and infrared (IR) spectroscopy were used to characterize the treated HGM. Meanwhile density, water absorption behavior, and mechanical properties of the modified HGM-filled epoxy composites were examined. It is found that the compound coupling agent could effectively improve the interfacial bonding between HGM and the matrix resin. A new chemical bond was formed between HGM and EP, which was confirmed by IR spectroscopy. Compared with their untreated counterparts, the composites treated with the complex coupling agent exhibited excellent mechanical properties, along with lower density and lower water absorption.
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Zhaolin Zhu,Yin Liu,Guiyang Xian,Yan Wang,Chongmei Wu,Xiaobo Peng,Lingbing Kong 한국섬유공학회 2023 Fibers and polymers Vol.24 No.9
In this study, hollow glass microsphere/epoxy composites modified with compound coupling agent of titanate (CS201) and silane (KH540) were prepared and characterized. The addition of the compound coupling agent improves the interfacial bonding between the microbeads and the resin matrix. Scanning electron microscopy results indicated that the compound coupling agent can effectively reduce the number of voids between the microbeads and the resin. FTIR and XPS spectra showed that new chemical bonds were formed between the hollow glass microspheres and resin, which enhanced the interfacial bonding between them. By testing the water absorption and mechanical properties of the composites, it found that the addition of the hybrid coupling agent can reduce the water absorption to a minimum level of 1.184%. Due to the improvement of interfacial compatibility, mechanical properties of the composites were enhanced, (with tensile strength of 43.03 MPa, bending strength of 44.56 MPa, bending modulus of 1407 MPa and compressive strength of 81.55 MPa). When the content of the coupling agent was 5% and the volume ratio of CS201 to KH540 was 1:1, the synergistic enhancement effect was the most significant.
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A Half-Dynamic Classification Method on Obfuscated Malicious JavaScript Detection
Zhaolin Fang,Renhuan Zhu,Weihui Zhang,Bo Chen 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.6
The traditional static detection method for malicious JavaScript detection has high efficiency without the need of code executing, but it cannot detect new malicious script. While the dynamic method usually needs to execute code and extract features, which lead to low efficiency and highly difficulty. In this paper, we propose a half-dynamic detection method for classification, which can solve the problem of obfuscated malicious JavaScript. The proposed method starts with obtaining the intermediate-state machine code using the JavaScript interpreter to compile the JavaScript. After extracting the function calling sequence of machine code, the feature model of the sequence is built using N-gram. Then we use k-NN classifier for training and detecting the malicious script. N-gram can directly be used to statically analyze the sequence of the obfuscated JavaScript, but not available to recognize the maliciousness. Then N-gram on the call function sequence of the compiled machine code is proposed as an efficient half-dynamic malicious script detection method. Finally, the efficiency and effectiveness of the proposed method is demonstrated through the experiments.
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No-reference Sharpness Index for Scanning Electron Microscopy Images Based on Dark Channel Prior
( Qiaoyue Li ),( Leida Li ),( Zhaolin Lu ),( Yu Zhou ),( Hancheng Zhu ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.5
Scanning electron microscopy (SEM) image can link with the microscopic world through reflecting interaction between electrons and materials. The SEM images are easily subject to blurring distortions during the imaging process. Inspired by the fact that dark channel prior captures the changes to blurred SEM images caused by the blur process, we propose a method to evaluate the SEM images sharpness based on the dark channel prior. A SEM image database is first established with mean opinion score collected as ground truth. For the quality assessment of the SEM image, the dark channel map is generated. Since blurring is typically characterized by the spread of edge, edge of dark channel map is extracted. Then noise is removed by an edge-preserving filter. Finally, the maximum gradient and the average gradient of image are combined to generate the final sharpness score. The experimental results on the SEM blurred image database show that the proposed algorithm outperforms both the existing state-of-the-art image sharpness metrics and the general-purpose no-reference quality metrics.
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