Witryna15 paź 2024 · Thanks to the success of deep learning, deep hashing has recently evolved as a leading method for large-scale image retrieval. Most existing hashing methods use the last layer to extract semantic information from the input image. However, these methods have deficiencies because semantic features extracted from … WitrynaThe experimental results show that the optimized HR-PBFT algorithm can effectively improve the problem of the sharp increase in the number of communications caused …
基于K-medoids的改进PBFT共识机制 (Improved PBFT Consensus …
Witryna20 lut 2024 · The experimental results of the PBFT-based blockchain showed high performance for networks with 70 nodes. Hence the PBFT-based consensus can be … Witryna2 mar 2024 · First, the HR-PBFT algorithm uses a hash ring to group nodes, which ensures the randomness and fairness of the grouping. Then, a dual-view mechanism is used in the consensus process, where the first layer node maintains the primary view and the second layer node maintains the secondary view to ensure the proper operation … flywheel fan and screen for 31p6770804 briggs
Improved PBFT Algorithm Based on Reputation and Voting …
WitrynaIn [10], it proposes an optimized PBFT based on feature trust model to improve Byzantine fault tolerance. ... Improve PBFT Based on Hash Ring Full-text available Witryna3 kwi 2024 · A deep learning-based pipeline system for license plate detection and recognition using YOLOv7 in complex traffic scenes ... PBFT consensus optimization algorithm based on group reputation ... A study on the application of multilevel secure hash function in blockchain Author(s): Shi-mei Jin; Yi-han Wang; Yongzhen Li ... Witryna1 kwi 2024 · Aiming at the problems of large communication cost of the consistency process, low efficiency of view switching and the random selection of the master … flywheel fan 796201