Pinxiang Wang

College of Engineering

Works (3)

Updated: November 14th, 2023 05:00

2023 article

COBATS: A Novel Consortium Blockchain-Based Trust Model for Data Sharing in Vehicular Networks

Fan, Q., Xin, Y., Jia, B., Zhang, Y., & Wang, P. (2023, June 27). IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, Vol. 6.

By: Q. Fan *, Y. Xin *, B. Jia *, Y. Zhang * & P. Wang n 

author keywords: Blockchain; data sharing; trust management; vehicular networks
TL;DR: This paper proposes a novel consortium blockchain-based trust model in vehicular networks (COBATS) to achieve secure storage and data sharing and designs a trust management model capable of filtering malicious recommendations, which reduces the hazard of malicious nodes and ensures high-quality data sharing among vehicles. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: July 31, 2023

2023 journal article

Scheduling and Process Optimization for Blockchain-Enabled Cloud Manufacturing Using Dynamic Selection Evolutionary Algorithm

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 19(2), 1903–1911.

By: Y. Zhang *, Y. Liang *, B. Jia * & P. Wang n 

author keywords: Informatics; Blockchain-enabled cloud manufacturing (BCMfg); dynamic selection evolutionary algorithm; multiobjective optimization; scheduling and process optimization
TL;DR: This article establishes the multiobjective SPO-BCMfg model based on a dynamic selection evolutionary algorithm using a diversity-based population partitioning technique that utilizes the dynamic distance to realize the selection of elite solutions. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: March 20, 2023

2022 article

A blockchain-enabled learning model based on distributed deep learning architecture

Zhang, Y., Liang, Y., Jia, B., Wang, P., & Zhang, X. (2022, June 5). INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, Vol. 6.

By: Y. Zhang *, Y. Liang *, B. Jia *, P. Wang n  & X. Zhang *

author keywords: blockchain; distributed deep learning; generative adversarial networks; hybrid parallel algorithm; image segmentation
TL;DR: The distributed deep learning model based on blockchain is combined with the generative adversarial network to solve the segmentation problem of medical imaging data, and the experimental results are superior to those of other networks. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: June 20, 2022

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