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2021-08-11
Li, Shanghao, He, Shan, Li, Lin, Guo, Donghui.  2020.  IP Trading System with Blockchain on Web-EDA. 2020 IEEE 14th International Conference on Anti-counterfeiting, Security, and Identification (ASID). :164—168.
As the scale of integrated circuits continues to expand, electronic design automation (EDA) and intellectual property (IP) reuse play an increasingly important role in the integrated circuit design process. Although many Web-EDA platforms have begun to provide online EDA software to reduce the threshold for the use of EDA tools, IP protection on the Web- EDA platform is an issue. This article uses blockchain technology to design an IP trading system for the Web-EDA platform to achieve mutual trust and transactions between IP owners and users. The structure of the IP trading system is described in detail, and a blockchain wallet for the Web-EDA platform is developed.
2021-04-09
Peng, X., Hongmei, Z., Lijie, C., Ying, H..  2020.  Analysis of Computer Network Information Security under the Background of Big Data. 2020 5th International Conference on Smart Grid and Electrical Automation (ICSGEA). :409—412.
In today's society, under the comprehensive arrival of the Internet era, the rapid development of technology has facilitated people's production and life, but it is also a “double-edged sword”, making people's personal information and other data subject to a greater threat of abuse. The unique features of big data technology, such as massive storage, parallel computing and efficient query, have created a breakthrough opportunity for the key technologies of large-scale network security situational awareness. On the basis of big data acquisition, preprocessing, distributed computing and mining and analysis, the big data analysis platform provides information security assurance services to the information system. This paper will discuss the security situational awareness in large-scale network environment and the promotion of big data technology in security perception.
2021-01-25
Shuncheng, L., Jiajia, X., Jin, C., Jian, C., Lin, D., Lu, W..  2020.  Research on the Calibration Influence Factors of UHF Partial Discharge Detector. 2020 5th International Conference on Smart Grid and Electrical Automation (ICSGEA). :34—41.

Ultra high frequency (UHF) partial discharge detection technology has been widely used in on-line monitoring of electrical equipment, for the influence factors of UHF signal's transfer function is complicated, the calibration of UHF method is still not realized until now. In order to study the calibration influence factors of UHF partial discharge (PD) detector, the discharge mechanism of typical PD defects is analyzed, and use a PD UHF signal simulator with multiple adjustable parameters to simulate types of PD UHF signals of electrical equipment, then performed the relative experimental research in propagation characteristics and Sensor characteristics of UHF signals. It is concluded that the calibration reliability has big differences between UHF signal energy and discharge capacity of different discharge source. The calibration curve of corona discharge and suspended discharge which can representation the severity of equipment insulation defect more accurate, and the calibration curve of internal air gap discharge and dielectric surface discharge is poorer. The distance of UHF signal energy decays to stable period become smaller with increase of frequency, and the decay of UHF signal energy is irrelevant to its frequencies when the measuring angle is changing. The frequency range of measuring UHF signal depends on effective frequency range of measurement sensor, moreover, the gain and standing-wave ratio of sensor and the energy of the received signal manifested same change trend. Therefore, in order to calibration the UHF signal, it is necessary to comprehensive consideration the specific discharge type and measuring condition. The results provide the favorable reference for a further study to build the calibration system of UHF measuring method, and to promote the effective application of UHF method in sensor characteristic fault diagnosis and insulation evaluation of electrical equipment.