用于追踪货币交易序列号的区块链

Q1 Economics, Econometrics and Finance

Intelligent Systems in Accounting, Finance and Management Pub Date : 2020-02-14 DOI:10.1002/isaf.1462

Kareem Mohamed, Amr Aziz, Belal Mohamed, Khaled Abdel-Hakeem, Mostafa Mostafa, Ayman Atia

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引用次数: 3

摘要

货币兑换是人们在日常市场中进行的最常见的日常活动之一。本文提出了一种通过区块链跟踪资金的方法。该方法由三个主要部分组成:序列号本地化、序列号识别和用于存储所有交易和所有权转移的区块链。对110张不同币种的纸币进行了测试，平均准确率为91.17%。我们对21个用户进行了实时的用户研究，所有用户的平均准确率为86.42%。每个用户都对我们提出的方法给出了反馈，大多数人都对这个想法表示欢迎。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Blockchain for tracking serial numbers in money exchanges

Money exchange is one of the most common day-to-day activities performed by humans in the daily market. This paper presents an approach to money tracking through a blockchain. The proposed approach consists of three main components: serial number localization, serial number recognition, and a blockchain to store all transactions and ownership transfers. The approach was tested with a total of 110 banknotes of different currency types and achieved an average accuracy of 91.17%. We conducted a user study in real-time with 21 users, and the mean accuracy across all users was 86.42%. Each user gave us feedback on the proposed approach, and most of them welcomed the idea.

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来源期刊

Intelligent Systems in Accounting, Finance and Management Economics, Econometrics and Finance-Finance

CiteScore

6.00

自引率

0.00%

发文量

期刊介绍： Intelligent Systems in Accounting, Finance and Management is a quarterly international journal which publishes original, high quality material dealing with all aspects of intelligent systems as they relate to the fields of accounting, economics, finance, marketing and management. In addition, the journal also is concerned with related emerging technologies, including big data, business intelligence, social media and other technologies. It encourages the development of novel technologies, and the embedding of new and existing technologies into applications of real, practical value. Therefore, implementation issues are of as much concern as development issues. The journal is designed to appeal to academics in the intelligent systems, emerging technologies and business fields, as well as to advanced practitioners who wish to improve the effectiveness, efficiency, or economy of their working practices. A special feature of the journal is the use of two groups of reviewers, those who specialize in intelligent systems work, and also those who specialize in applications areas. Reviewers are asked to address issues of originality and actual or potential impact on research, teaching, or practice in the accounting, finance, or management fields. Authors working on conceptual developments or on laboratory-based explorations of data sets therefore need to address the issue of potential impact at some level in submissions to the journal.