Intelligent interaction design research based on block chain communication technology and fuzzy system

Author:

Chao Ma1,Pan Young Hwan2,Zeng ChuYao3

Affiliation:

1. Department of Environment and Home Design, Ningbo University, Pan Tianshou School of Architecture and Art Design, Ningbo University, Ningbo, Zhejiang, China

2. Department of Interaction Design, School of Techno Design, Kookmin University, Seoul, South Korea

3. Department of Spatial Lifestyle Design, school of Techno Design, Kookmin University, Seoul, South Korea

Abstract

With the increasing amount of information on the Internet, data storage management tends to be distributed. In distributed storage environment, users pay more and more attention to the timeliness of user interaction experience and the reliability of information interaction. However, the efficiency of users is often limited by the efficiency of data communication between distributed sites. One of the important goals of distributed data management is to improve the efficiency of data transmission and ensure the reliability of data transmission. Block chain technology is one of the emerging technologies supporting the development of management information system; it provides a solution for the storage, verification, transmission and communication of the distributed data. This paper focuses on solving the problem of block chain data transmission, and studies it from three aspects: improving the efficiency of data communication, ensuring the reliability of transmission, and improving the fairness of service, and different block chain data communication performance optimization strategies are proposed under the constraints of node communication capability, node trust, weight, priority of service request and other influencing factors.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference18 articles.

1. A Medical Records Managing and Securing Blockchain Based System Supported by a Genetic Algorithm and Discrete Wavelet Transform;Hussein;Cognitive Systems Research,2018

2. Social interaction-based consumer decision-making model in social commerce: The role of word of mouth and observational learning;Wang;International Journal of Information Management,2015

3. Degradable ketal-based block copolymer nanoparticles for anti-cancer drug delivery: a systematic evaluation;Louage;Biomacromolecules,2015

4. A Review on Multi-Label Learning Algorithms;Zhang;IEEE Transactions on Knowledge & Data Engineering,2018

5. HDR-VQM: An objective quality measure for high dynamic range video;Narwaria;Signal Processing Image Communication,2015

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