Liu Feng, Fan Hao-Yang, Qi Jia-Yin
School of Computer Science and Technology, East China Normal University, Shanghai 200062, China.
Institute of Artificial Intelligence and Change Management, Shanghai University of International Business and Economics, Shanghai 201620, China.
Entropy (Basel). 2022 Apr 15;24(4):557. doi: 10.3390/e24040557.
The large-scale application of blockchain technology is an expected to be an inevitable trend. This study revolves around published papers and articles related to blockchain technology, relevance analysis and sorting through the retrieved documents with six core layers of blockchain: Application Layer, Contract Layer, Actuator Layer, Consensus Layer, Network Layer and Data Layer. Based on the analysis results, this study found that China's research is more towards the preference and application of landing and industry and smart cities with blockchain as the underlying technology. International research is more focused on the research of finance as the underlying technology of blockchain and tries to combine crypto assets with real industries, such as crypted assets and payment systems for traditional industries. This paper studies the impact of monetary entropy on cryptocurrencies in smart cities and uses the monetary entropy formula to measure the crypto-economic entropy. We use Kolmogorov entropy to describe the degree of chaos in the cryptocurrency market in a smart city. The study illustrates the current status of blockchain technology and applications from the perspective of cryptocurrency in a smart city. We find that smart cities and cryptocurrencies have a mutually reinforcing effect.
区块链技术的大规模应用有望成为一种必然趋势。本研究围绕与区块链技术相关的已发表论文和文章展开,通过区块链的六个核心层:应用层、合约层、执行层、共识层、网络层和数据层,对检索到的文献进行相关性分析和分类。基于分析结果,本研究发现中国的研究更倾向于以区块链为底层技术的落地应用、行业应用和智慧城市应用。国际研究则更侧重于以区块链为底层技术的金融研究,并试图将加密资产与实体经济相结合,如传统行业的加密资产和支付系统。本文研究了货币熵对智慧城市中加密货币的影响,并使用货币熵公式来衡量加密经济熵。我们使用柯尔莫哥洛夫熵来描述智慧城市中加密货币市场的混乱程度。该研究从智慧城市中加密货币的角度阐述了区块链技术及应用的现状。我们发现智慧城市和加密货币具有相互促进的作用。