A Study on the Development Trends of the Energy System with Blockchain Technology Using Patent Analysis

Huang, Linyun; Cai, Jian-Feng; Lee, Tien-Chen; Weng, Min‐Hang

doi:10.3390/su12052005

Cited by 22 publications

(10 citation statements)

References 39 publications

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“…It is an intelligent peer-topeer network. Blockchain can identify and disseminate information through distributed databases [9,10]. e blockchain ecosystem is developed based on Bitcoin.…”

Section: E Blockchain Technologymentioning

confidence: 99%

[Retracted] Rural Workplace Sustainable Development of Smart Rural Governance Workplace Platform for Efficient Enterprise Performances

2022

Journal of Environmental and Public Health

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In the long developmental process, China’s agriculture has transformed from organic agriculture to inorganic agriculture. New technologies have made the modernization of agriculture possible. However, most older people who are engaged in agriculture may not completely understand the modernization of agriculture. Based on the limitations of traditional image target detection methods, a deep learning-based pest target detection and recognition method is proposed from a blockchain perspective, to analyze and research agricultural data supervision and governance and explore the effectiveness of deep learning methods in crop pest detection and recognition. The comparative analysis demonstrates that the average precision (AP) of GA-CPN-LAR (global activation-characteristic pyramid network-local activation region) increases by 4.2% compared with other methods. Whether under the Inception or ResNet-50 backbone networks, the AP of GA-CPN-LAR is significantly better than other methods. Compared with the ResNet-50 backbone network, GA-CPN-LAR has higher accuracy and recall rates under Inception. Precision-recall curve measurement shows that the proposed method can significantly reduce the false detection rate and missed detection rate. The GA-CPN-LAR model proposed here has a higher AP value on the MPD dataset than the other target detection methods, which can be increased by 4.2%. Besides, the accuracy and recall of the GA-CPN-LAR method corresponding to two representative pests under the initial feature extractor are higher than the MPD dataset baseline. In addition, the research results of the MPD dataset and AgriPest dataset also show that the pest target detection method based on convolutional neural networks (CNNs) has a good presentation effect and can significantly reduce false detection and missed detection. Moreover, the pest regulation based on blockchain and deep learning comprehensively considers global and local feature extraction and pattern recognition, which positively impacts the conscientization of agricultural data processing and promotes the sustainable development of rural areas.

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“…It is an intelligent peer-topeer network. Blockchain can identify and disseminate information through distributed databases [9,10]. e blockchain ecosystem is developed based on Bitcoin.…”

Section: E Blockchain Technologymentioning

confidence: 99%

[Retracted] Rural Workplace Sustainable Development of Smart Rural Governance Workplace Platform for Efficient Enterprise Performances

2022

Journal of Environmental and Public Health

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“…Blockchain (also known as Distributed Ledger Technology, or DLT) is a novel form of data storage where all data is shared across the network participants. These participants are represented by network nodes that store, verify, transfer, and communicate data [34]. Through these nodes, each participant has access to the ledger, i.e., the full history of network transactions [42,43].…”

Section: Blockchain Conceptsmentioning

confidence: 99%

“…In the context of energy efficiency, the literature suggests blockchain technology to be relevant in mainly three application areas. First, blockchain could enable innovative energy trading systems, such as P2P energy trading [15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30], electric vehicle charging [15,31] and energy markets [22,27,[32][33][34][35]. Second, blockchain could serve as a distributed accounting and trading platform for the energy efficiency White Certificate Schemes (WCS) [15].…”

Section: Introductionmentioning

confidence: 99%

How Can Blockchain Technology Accelerate Energy Efficiency Interventions? A Use Case Comparison

et al. 2020

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This paper qualitatively evaluates the application of blockchain technology for three energy efficiency use cases. To achieve the Sustainable Development Agenda, energy efficiency improvements have to double by 2030. However, the adoption of energy efficiency interventions is slow due to several market barriers. Blockchain technology is a nascent technology with the potential to address these barriers or even fundamentally change energy system designs, by enabling transparent, decentralised, and tamper-resilient systems. Nevertheless, a blockchain application comes with trade-offs and needs to be considered on a case by case basis. In this paper, we examine the benefits and constraints of a blockchain application for three different approaches to achieving energy efficiency: (i) peer-to-peer (P2P) energy trading; (ii) White Certificate Scheme (WCS); and (iii) Energy Service Companies (ESCOs). For each of these cases, we apply a decision framework to assess blockchain feasibility and outline a potential blockchain-based design. The analysis shows that blockchain functions are case dependent and that an application creates different governance and system designs due to varying case characteristics. We discuss how the identified blockchain adoption barriers can be overcome and stress the need for policy action to advance the development of pilot studies. By decentralising system governance, blockchain enables innovative designs that can accelerate the implementation of energy efficiency interventions.

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“…The development of blockchain has gone through four stages [6,7]. Figure 2 shows the four-stage development path.…”

Section: Introductionmentioning

confidence: 99%

BSPPF: Blockchain‐Based Security and Privacy Preventing Framework for Data Middle Platform in the Era of IR 4.0

Chen

Goyal

Ramaswamy

2022

Journal of Nanomaterials

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Security and privacy issues about Big Data have emerged as one of the most pressing concerns in both academic circles and the business world in the era of IR 4.0. These worries are made worse because businesses are beginning to construct their own Big Data-based Data Middle Platform. The research team has summarized the security and privacy protection issues of Big Data-based Data Middle Platform by combining previous research and providing a table that lists some contributions that the blockchain uses for security and privacy protection in Big Data. A general Data Middle Platform architecture is also be given in the Methodology section. Based on this architecture, the team unveiled blockchain-based security and privacy protection framework on the Data Middle Platform in this study. This approach emphasizes mitigating the security and privacy issues posed by sensitive data entering the Data Middle Platform and data published by the Data Middle Platform. Following that, the researchers developed a testing system based on this framework to determine whether or not the framework was both feasible and practicable. The trials revealed that the framework is applicable, even though it requires further development and refinement.

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A Study on the Development Trends of the Energy System with Blockchain Technology Using Patent Analysis

Cited by 22 publications

References 39 publications

[Retracted] Rural Workplace Sustainable Development of Smart Rural Governance Workplace Platform for Efficient Enterprise Performances

[Retracted] Rural Workplace Sustainable Development of Smart Rural Governance Workplace Platform for Efficient Enterprise Performances

How Can Blockchain Technology Accelerate Energy Efficiency Interventions? A Use Case Comparison

BSPPF: Blockchain‐Based Security and Privacy Preventing Framework for Data Middle Platform in the Era of IR 4.0

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