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596 results on '"Liu, Zeyu"'

1. Disaster Intelligent Perception and Emergency Command of Power Grid

Author

Yu, Zhen, Feng, Jie, Tang, Shiyang, Liu, Zeyu, Yan, Yiran, and Luo, Na

Subjects
Power Grid, Disaster Intelligent Perception, Emergency Command Prototype System, Multi-hazard Loss Prediction Model, Emergency Auxiliary Decision Making, Fusion Analysis Technology, Emergency Disposal Efficiency, Typhoon, Heavy Rainfall and Flooding, Earthquake and Landslide, bic Book Industry Communication::T Technology, engineering, agriculture::TH Energy technology & engineering::THR Electrical engineering, bic Book Industry Communication::T Technology, engineering, agriculture::TH Energy technology & engineering
Abstract

This open access book addresses the current technical problems of low efficiency of emergency site information collection, lack of flexibility of emergency information interaction, lack of fusion analysis technology and disaster loss prediction model, and low intelligence of emergency auxiliary decision making. The content contains research on multiple information collection technology of power grid disaster loss, fusion analysis and prediction technology of power grid disaster loss information, and real-time information interaction technology between emergency site and command center in this work. This book illustrates the process of developing a prototype system for grid disaster perception and emergency command, which realizes the functions of grid disaster perception and emergency auxiliary decision-making and visualization command. The prototype intelligent perception and emergency command system for power grid disasters has been piloted in several units. It provided support for disaster loss prediction, disaster damage perception, and emergency command auxiliary decision-making in the earthquake in Sichuan, China, as well as the heavy rainfall in Zhejiang, China and Typhoon No. 9 "Lupi" that registered in Fujian, China, which significantly improved the emergency disposal Work efficiency.

Published
2024
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32. Data recommendation algorithm of network security event based on knowledge graph

Author

Xianwei ZHU, Wei LIU, Zihao LIU, Zeyu GU

Subjects
network threat data, network security events, knowledge graph, similarity, event handling behavior, data recommendation, Electronic computers. Computer science, QA75.5-76.95
Abstract

To address the difficulty faced by network security operation and maintenance personnel in timely and accurate identification of required data during network security event analysis, a recommendation algorithm based on a knowledge graph for network security events was proposed.The algorithm utilized the network threat framework ATT＆amp;CK to construct an ontology model and establish a network threat knowledge graph based on this model.It extracted relevant security data such as attack techniques, vulnerabilities, and defense measures into interconnected security knowledge within the knowledge graph.Entity data was extracted based on the knowledge graph, and entity vectors were obtained using the TransH algorithm.These entity vectors were then used to calculate data similarity between entities in network threat data.Disposal behaviors were extracted from literature on network security event handling and treated as network security data entities.A disposal behavior matrix was constructed, and the behavior matrix enabled the vector representation of network threat data.The similarity of network threat data entities was calculated based on disposal behaviors.Finally, the similarity between network threat data and threat data under network security event handling behavior was fused to generate a data recommendation list for network security events, which established correlations between network threat domains based on user behavior.Experimental results demonstrate that the algorithm performs optimally when the fusion weight α=7 and the recommended data volume K=5, achieving a recall rate of 62.37% and an accuracy rate of 68.23%.By incorporating disposition behavior similarity in addition to data similarity, the algorithm better represents factual disposition behavior.Compared to other algorithms, this algorithm exhibits significant advantages in recall rate and accuracy, particularly when the recommended data volume is less than 10.

Published
2023
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45. Small-molecule agents for cancer immunotherapy

Author

Wang, Fang, Fu, Kai, Wang, Yujue, Pan, Can, Wang, Xueping, Liu, Zeyu, Yang, Chuan, Zheng, Ying, Li, Xiaopeng, Lu, Yu, To, Kenneth Kin Wah, Xia, Chenglai, Zhang, Jianye, Shi, Zhi, Hu, Zeping, Huang, Min, and Fu, Liwu

Published
2024
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