Cargando…
Blockchained supply chain management based on IoT tracking and machine learning
When it comes to running and managing modern supply chains, 6G Internet of things (IoT) is of utmost importance. To provide IoT with security and automation, blockchain and machine learning are two upper-layer technology that can help. First, we propose to utilize blockchain in modern supply chains...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798956/ https://www.ncbi.nlm.nih.gov/pubmed/36597502 http://dx.doi.org/10.1186/s13638-022-02209-0 |
_version_ | 1784861013920710656 |
---|---|
author | Dong, Zhongping Liang, Wei Liang, Yan Gao, Weibo Lu, Yi |
author_facet | Dong, Zhongping Liang, Wei Liang, Yan Gao, Weibo Lu, Yi |
author_sort | Dong, Zhongping |
collection | PubMed |
description | When it comes to running and managing modern supply chains, 6G Internet of things (IoT) is of utmost importance. To provide IoT with security and automation, blockchain and machine learning are two upper-layer technology that can help. First, we propose to utilize blockchain in modern supply chains to ensure efficient collaboration between all parties. Second, we adopt multi-head attention (MHA)-based gated recurrent unit (GRU) to do inbound logistics task prediction. Finally, numerical results justify that multi-head attention-based GRU model has better fitting efficiency and prediction accuracy than its counterparts. |
format | Online Article Text |
id | pubmed-9798956 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-97989562022-12-30 Blockchained supply chain management based on IoT tracking and machine learning Dong, Zhongping Liang, Wei Liang, Yan Gao, Weibo Lu, Yi EURASIP J Wirel Commun Netw Research When it comes to running and managing modern supply chains, 6G Internet of things (IoT) is of utmost importance. To provide IoT with security and automation, blockchain and machine learning are two upper-layer technology that can help. First, we propose to utilize blockchain in modern supply chains to ensure efficient collaboration between all parties. Second, we adopt multi-head attention (MHA)-based gated recurrent unit (GRU) to do inbound logistics task prediction. Finally, numerical results justify that multi-head attention-based GRU model has better fitting efficiency and prediction accuracy than its counterparts. Springer International Publishing 2022-12-29 2022 /pmc/articles/PMC9798956/ /pubmed/36597502 http://dx.doi.org/10.1186/s13638-022-02209-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Dong, Zhongping Liang, Wei Liang, Yan Gao, Weibo Lu, Yi Blockchained supply chain management based on IoT tracking and machine learning |
title | Blockchained supply chain management based on IoT tracking and machine learning |
title_full | Blockchained supply chain management based on IoT tracking and machine learning |
title_fullStr | Blockchained supply chain management based on IoT tracking and machine learning |
title_full_unstemmed | Blockchained supply chain management based on IoT tracking and machine learning |
title_short | Blockchained supply chain management based on IoT tracking and machine learning |
title_sort | blockchained supply chain management based on iot tracking and machine learning |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798956/ https://www.ncbi.nlm.nih.gov/pubmed/36597502 http://dx.doi.org/10.1186/s13638-022-02209-0 |
work_keys_str_mv | AT dongzhongping blockchainedsupplychainmanagementbasedoniottrackingandmachinelearning AT liangwei blockchainedsupplychainmanagementbasedoniottrackingandmachinelearning AT liangyan blockchainedsupplychainmanagementbasedoniottrackingandmachinelearning AT gaoweibo blockchainedsupplychainmanagementbasedoniottrackingandmachinelearning AT luyi blockchainedsupplychainmanagementbasedoniottrackingandmachinelearning |