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      • A Scalable PKI Based on P2P Network

        Zhiwei Gao,Jinsheng Fan,Yufeng Jia,Li Zhang 보안공학연구지원센터 2007 International Journal of Security and Its Applicat Vol.1 No.2

        Public key infrastructure (PKI) is a powerful tool for protecting information. Currently a PKI system shows a trend toward an emerging global PKI which becomes more complicated. The global PKI has to handle an enormous number of queries for cryptographic certificates which attest the authenticity of public keys. So a decentralized organization of the PKI is advantageously. Therefore we developed a specialized Peer-to-Peer-PKI model realizing efficient search and transfer of certificates and trust-recommendations. Our model based on our own rigorous binary tree algorithm and has four advantages. First, there is no any bottleneck problem when establishing a certification path or authenticating. Second, the authentication path is short with two constant logic steps. Third, in our model the entities need to mutual authenticate don’t need to inquire or download the CRL. Fourth, it’s easy to extend and suitable for large-scale network.

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        Influence of Various Cooling and Lubrication Conditions on Tool Wear and Machining Quality in Milling Inconel 718

        Zhaojing Gao,Heng Zhang,Min Ji,Chenlong Zuo,Jinsheng Zhang 한국정밀공학회 2024 International Journal of Precision Engineering and Vol.11 No.2

        In recent years the global manufacturing industry has put forward the requirements of sustainable production, as well as a higher demand for product quality and productivity. The ever-increasing environmental requirements require cleaner and more environmentally friendly machining techniques to replace traditional immersion lubrication. Inconel 718 alloy has a wide range of applications in aerospace, chemical and power generation, but the difficult-to-cut nature of this alloy poses a great deal of difficulty in its machining. In this paper, supercritical carbon dioxide (scCO2) based cooling lubrication was used to mill Inconel 718 alloy. The scCO2 technology was combined with the minimal quantity lubrication (MQL) technology and the oil-on-water technology (OoW) technology to quantify the effect of different cooling lubrication by analyzing the milling force, milling temperature, surface roughness and tool wear. The experimental results showed that the use of scCO2-based cooling and lubrication conditions significantly reduced the milling forces and milling temperatures and resulted in better machined surface quality. Lower surface roughness values were obtained with scCO2 + OoW cooling compared to dry milling, only scCO2 cooling and scCO2 + MQL cooling.

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        Intelligent identification of mortar void in ballastless slab track using the wheelset acceleration combined with CNN-SVM

        Xin Xin,Zunsong Ren,Yi Yin,Jinsheng Gao 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.12

        Mortar void is a hidden defect in ballastless slab track difficult to be efficiently identified by traditional detection methods. This paper is dedicated to proposing a new detection method to identify the mortar void position and length using the vehicle response combined with the hybrid convolutional neural network-support vector machine (CNN-SVM) classifier. The vertical wheelset accelerations with different mortar void conditions are collected from a vehicle-track coupled dynamics simulation model. The first components decomposed from wheelset accelerations by local mean decomposition and their envelopes are utilized as the training data due to their sensitivity to mortar void. To improve the identification precision, the scope descent method is proposed to determine the range influenced by mortar void (IMVR) and samples are labeled according to IMVR. Meanwhile, identification results are post processed based on the mortar void characteristics. The results show that over 90 % mortar void conditions with the length of 0.65 m are detected correctly and the identification has a higher precision with the mortar void length greater than 0.95 m. The proposed technology of mortar void detection using the wheelset accelerations with the hybrid CNN-SVM classifier provides reference for engineering application, which is of great significance to relieve the pressure of health monitoring of railway track.

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        Nanometric Pd-confined mesoporous silica as high-efficient catalyst for toluene low temperature removal: Effects of support morphology and textural property

        Chi He,Zhengping Hao,Xinyan Zhang,Shaokai Gao,Jinsheng Chen 한국공업화학회 2012 Journal of Industrial and Engineering Chemistry Vol.18 No.5

        Mesoporous silica supported catalysts with highly dispersed Pd particles located in their pore channels were synthesized via a novel and simple two-solvents approach. It is found that the support morphology has significant effect on active phase dispersion. Both the pore diameter and pore length of the silica hosts are critical for the catalytic performances of prepared catalysts. Catalyst with plateletlike morphology (Pd/S-P) shows the highest catalytic activity with 90% toluene conversion at 192 8C. The catalytic performances of the synthesized catalysts are closely correlated with Pd dispersion, CO2desorption capability, pore diameter and pore length of the host materials.

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