In order to explore the public administration and resource allocation based on blockchain and structured occupational therapy, this paper takes the public affairs in the prevention and control of the Corona Virus Disease 2019 (COVID-19) epidemic as an example to conduct research. On the basis of summarizing and analyzing the previous published literatures, this study expounded the research status and significance of public administration and resource allocations; elaborated the development background, current status and future challenges of blockchain, and structured occupational therapy; introduced the methods and principles of data quality collaboration model and multiparty collaboration standard management; analyzed the case background of public administration and resource allocation in the prevention and control of the COVID-19 epidemic; discussed the public administration mechanism based on blockchain and structured occupational therapy; established a resource allocation method based on blockchain and structured occupational therapy; fathomed the role of the distributed ledger established by blockchain to increase the information symmetry of public administration activities; proposed a blockchain-established special machine trust for resource allocation; and finally, anatomized the data security sharing and access control mechanism based on blockchain and structured occupational therapy. The research results show that the public administration and resource allocation in this paper can effectively realize the data integration of the whole process and all departments and show the whole data and realize the traceability of the whole process. The blockchain revolutionizes the hierarchical leadership method of traditional resource allocation, shortens the distance between superiors and subordinates, makes information dissemination more fluent, and handles things more efficiently, making resource allocation ultimately form a flatter organization structure. In the original trust system of resource allocation, the blockchain and structured occupational therapy realizes the reconstruction of the trust system by preventing information tampering, using information encryption technology, and using information traceability technology. The results of this paper provide a reference for further research on the public administration and resource allocation based on blockchain and structured occupational therapy.
To build an agricultural product network marketing system in the era of e-commerce, it is necessary for agricultural product business enterprises or farmers to recognize the benefits of using e-commerce to market agricultural products and face up to its influencing factors and to build a support system, application system, and guarantee system with the support of the government to promote agricultural product e-commerce marketing to obtain healthy development. In this study, we study the construction mode of e-commerce agricultural product online marketing system based on the end of blockchain and improved genetic algorithm. This study adopts the design idea of coalition chain and proposes a multichain agricultural product trading information blockchain application technology including agricultural product trading information chain, user information chain, and agricultural product information chain. The agricultural product information chain provides detailed information of agricultural products and ensures the traceability and non-tamperability of the information. It automatically divides the profits of transactions through smart contracts to improve execution efficiency and reduce transaction costs and finally establishes a transparent, efficient, and applicable blockchain architecture for agricultural product transactions.
This study focuses on the financing difficulties of small and medium enterprises (SMEs) in China to study the application of blockchain technology in developing the real economy. Deep learning neural network is applied to the vulnerability analysis and detection of smart contracts in blockchain technology by analyzing the connotation of blockchain technology and deep learning. A multiparty joint financial service platform based on blockchain technology is established to help SMEs financing institutions reduce transaction costs, thereby helping them reduce loan interest rates. Finally, Jiangsu Province is studied as a pilot unit. The results show that the Recall and F-score of Bidirectional Neural Network for smart contract vulnerability detection are higher than those of the original neural network. The Recall rate and F-score value of the Wide and Deep model are up to 96.2% and 94.7%, which are higher than those of other vulnerability detection schemes. The Timestamp vulnerability has the highest Recall rate, 94.2%, which can rely on a large amount of valid data to improve detection efficiency. The distribution of financing needs of SMEs in Jiangsu Province from 2020 to 2021 shows that the loan number of SMEs is generally not high. Still, financial institutions and enterprises must spend the same transaction cost. After a technology company in Nanjing made a loan through a blockchain financial service platform, its financing cost decreased by 0.5331%. Blockchain technology has played a great role in the financing process of SMEs, reducing intermediate links and credit costs, and promoting the development of SMEs and the real economy.
This study aims to solve the problem that the traditional online foreign language teaching system focuses on function development, ignoring system security, and has certain risks. An online foreign language education system is designed and developed based on the blockchain technology. First, the blockchain technology and key technologies of system design are described in detail. Second, the overall technical architecture of the system, functional modules, and business logic of each module are designed. Finally, the basic performance of the system is tested. The results show that the system can realize the user's unrestricted office work and zero maintenance of the system. The separation of presentation logic and business logic facilitates the development and maintenance of the system. The system mainly includes six functional modules: user management, course management, course order, course study, course certificate, and credit authentication. These modules are guaranteed for daily teaching use. The event processing success rate of the six functional modules of the system is greater than 99%, and the processing success rate is relatively high. The central processing unit (CPU) usage and memory usage are both below 30%. The host throughput of the six major modules is greater than 100 times/s when processing services. The average response time on the terminal side is maintained below 0.5 s. The average response time of business-side processing is maintained below 0.4 s, which is in line with the standard. The event processing success rate of the constructed system is 10.75% higher than that of other systems, and the average response time, CPU usage, and memory usage are 53.38%, 51.49%, and 50% lower than other systems, respectively. Therefore, the proposed system has better performance. To sum up, the designed system has excellent throughput, event processing capability, response speed, and low CPU and memory occupancy when processing business and is suitable for promotion and use in foreign language online education in colleges and universities. The use of the proposed system can improve its overall teaching efficiency and quality. The purpose is to provide important technical support for the improvement of the security of the online foreign language teaching system.
Based on blockchain technology,Ethereum Solidity smart contract as a computer protocol is designed to spread,verify,or execute contracts in an informative way,and it provides a foundation for various distributed application services.Although implemented for less than six years,its security problems have frequently broken out and caused substantial financial losses,which attracts more attention in the security inspection research.This paper firstly introduces some specific mechanisms and operating principles of smart contracts based on Ethereum related techniques,and analyzes some smart contract vulnerabilities occurring frequently and deriving from the characteristics of smart contracts.Then,this paper explains the traditional mainstream smart contract vulnerability detecting tools in terms of symbolic execution,fuzzing,formal verification,and taint analysis.In addition,in order to cope with the endless new vulnerabilities and the need to improve the efficiency of detection,vulnerabilities detection based on machine learning in recent years is classified and summarized according to the various ways of problem transformation in three perspectives including text processing,non-Euclidean graph and standard image.Finally,this paper proposes to formulate more extensive and accurate standardized information database and measurement indicators towards the insufficiency of the detection methods in two directions.
<p>Blockchain is a distributed ledger formed by sequentially adding consensual blocks linked by cryptography.Which create a reliable cooperation mechanism for shared employees because it can be traceable and can not be forged.The shared employees was born in 2020 as a temporary measure to address the imbalance in personnel allocation among certain industries amid the spread of COVID-19.With the help of blockchain technology, shared employees can achieve rapid development in the establishment of trust mechanism, traceability of employees’ background, and the establishment of credit evaluation system .The new economic model of shared employees supported by blockchain technology may bring benefits to the transformation of employment mode, the upgrading of industrial structure and even the economic integration of urban and rural areas in China.</p> <p>&nbsp;</p>
BACKGROUND: Blockchain technology is a part of Industry 4.0's new Internet of Things applications: decentralized systems, distributed ledgers, and immutable and cryptographically secure technology. This technology entails a series of transaction lists with identical copies shared and retained by different groups or parties. One field where blockchain technology has tremendous potential is health care, due to the more patient-centric approach to the health care system as well as blockchain's ability to connect disparate systems and increase the accuracy of electronic health records. OBJECTIVE: The aim of this study was to systematically review studies on the use of blockchain technology in health care and to analyze the characteristics of the studies that have implemented blockchain technology. METHODS: This study used a systematic review methodology to find literature related to the implementation aspect of blockchain technology in health care. Relevant papers were searched for using PubMed, SpringerLink, IEEE Xplore, Embase, Scopus, and EBSCOhost. A quality assessment of literature was performed on the 22 selected papers by assessing their trustworthiness and relevance. RESULTS: After full screening, 22 papers were included. A table of evidence was constructed, and the results of the selected papers were interpreted. The results of scoring for measuring the quality of the publications were obtained and interpreted. Out of 22 papers, a total of 3 (14%) high-quality papers, 9 (41%) moderate-quality papers, and 10 (45%) low-quality papers were identified. CONCLUSIONS: Blockchain technology was found to be useful in real health care environments, including for the management of electronic medical records, biomedical research and education, remote patient monitoring, pharmaceutical supply chains, health insurance claims, health data analytics, and other potential areas. The main reasons for the implementation of blockchain technology in the health care sector were identified as data integrity, access control, data logging, data versioning, and nonrepudiation. The findings could help the scientific community to understand the implementation aspect of blockchain technology. The results from this study help in recognizing the accessibility and use of blockchain technology in the health care sector.
Poverty in the agricultural sector has always existed and needs to be urgently solved. How to achieve precise poverty alleviation and poverty alleviation in the agricultural sector has become a top priority now. In this regard, this study combines blockchain technology and wireless network technology to build a blockchain platform. The platform is responsible for assisting the development of agricultural poverty alleviation projects, integrating project data into a public area according to the characteristics of the blockchain. The data cannot be tampered with during storage and transmission, ensuring the authenticity of the data. As the core of blockchain technology, the algorithm of the consensus mechanism plays a crucial role in alleviating poverty in agriculture, using the RBFT consensus mechanism to achieve “precise identification” of the poor. The pilot has shown that the RBFT algorithm will achieve a throughput of 2,980 strokes/second. In addition, the time from node failure to recovery is diminished by 60% compared to the time consumed by the PBFT algorithm. It can be clearly seen that the blockchain platform using the RBFT algorithm is more robust.
Blockchain is a distributed ledger technology that has had a significant impact on various industries in the accounting field. Through the retrieval of keywords and abstracts of 862 accounting journals on CNKI, and the statistics of relevant reports on the technical services launched by accounting firms for blockchain, with the help of Echart visualization software, the hot topics of research on the impact of blockchain technology on the accounting field are determined as follows: The problems of decentralization in blockchain system, real-time audit supported by blockchain, application of smart contracts, and role change of accountants and auditors are four aspects. Based on the research on the hot topics, the paper sorts out the current problems, and puts forward relevant suggestions such as strengthening the supervision system, advocating the flat management mode, promoting the construction of continuous audit activities, and strengthening the professional talent reserve. It provides reference for accountants and auditors to study blockchain technology in the future.
Amir Masoud Rahmani, Rizwan Ali Naqvi, Mazhar Hussain Malik, Tauqeer Safdar Malik · 7 authors
The suspension of institutions around the world in early 2020 due to the COVID-19 virus did not stop the learning process. E-learning concepts and digital technologies enable students to learn from a safe distance while continuing their educational pursuits. Currently, the Internet of Things (IoT) is one of the most rapidly increasing technologies in today’s digital world; and e-learning is one of the most powerful learning methods available. In today’s world, smart devices and new technologies assist teachers in concentrating on new models of student learning while avoiding time wastage. By examining the characteristics of the Internet of Things and the challenges that exist in the field of e-learning, the potential functions, benefits, and advancements of utilizing the Internet of Things in online education are identified and discussed. This article examines the existing and future condition of the Internet of Things world as it pertains to the topic of education and sophisticated capabilities available through the Internet of Things that enable the application of e-learning after an architecture has been designed. Students’ pulse rates, brain waves, and skin resistance are measured in real time by a collection of IoT sensors, including cameras, microphones, and wearable gadgets. By utilizing the proposed architecture, universities can change their distance learning tactics to maximize resources and boost efficiency without changing their overall academic activities. According to the study’s findings, e-learning has a favorable and statistically significant impact on students’ flexibility, learning experience, educational productivity, and overall quality of education.
The shortcomings of today's credit mechanism are exposed and crises are everywhere. Today, the blockchain has become the most popular technology in the Internet finance field. It has rushed into all walks of life with the power of breaking a bamboo, and is shining around the world. According to the basic functions of blockchain technology (BT), such as information tampering. Information transparency has certain security guarantees. This kind of security guarantee can ensure the reliability of the financial information system to a large extent and reduce financial fraud. The aim of this article is to study the application of regional chain technology in the financial field (FF). This article is based on the primary principles of blockchain, information asymmetry theory and moral theory. Through questionnaire surveys, corporate financial personnel, middle and high-level managers and other authorities, university researchers, scholars and other personnel with experience in the implementation and application of financial informationization in various industries to ensure the right and precise results of this survey with authority and credibility. It is helpful to improve the quality problems in the financial information processing process, and helps the company implement effective real-time and automatic control. Experimental investigations and studies have shown, Financial information quality issues have the highest score at 4.39 points, while management and control issues and security issues have scores of 4.26 and 4.22 points, respectively. That there is no doubt that the blockchain financial system(FS) has many advantages, but because the BT is still in its infancy, the research time is relatively short, and there are many unresolved and unidentified problems and deficiencies.
More and more shared products and services have been introduced to the market one after another, which has changed the traditional Chinese economic model. The construction of digital teaching resources is one of the important contents of higher education informatization. Today, with the extremely developed network, the problem of sharing digital teaching resources in colleges and universities becomes more and more prominent. Network can not only realize the sharing of educational resources, but also greatly expand the information exchange between teachers and students, and create a learning environment for individual teaching for learners. With the continuous improvement of technology and the maturity of application, the Blockchain and new energy and related applications will develop rapidly under the impetus of the government and the huge social demand. As a new force to change the Internet, Blockchain and new energy will bring great changes to information resource sharing activities and information service institutions. This paper explores the application of Blockchain and new energy technology in the co construction and sharing mode of digital teaching resources in Colleges and universities through the research on the participation subjects of block chain technology and digital teaching resources co construction and sharing.
Yi Xie, Jiayao Zhang, Honglin Wang, Pengran Liu · 10 authors
BACKGROUND: As a distributed technology, blockchain has attracted increasing attention from stakeholders in the medical industry. Although previous studies have analyzed blockchain applications from the perspectives of technology, business, or patient care, few studies have focused on actual use-case scenarios of blockchain in health care. In particular, the outbreak of COVID-19 has led to some new ideas for the application of blockchain in medical practice. OBJECTIVE: This paper aims to provide a systematic review of the current and projected uses of blockchain technology in health care, as well as directions for future research. In addition to the framework structure of blockchain and application scenarios, its integration with other emerging technologies in health care is discussed. METHODS: We searched databases such as PubMed, EMBASE, Scopus, IEEE, and Springer using a combination of terms related to blockchain and health care. Potentially relevant papers were then compared to determine their relevance and reviewed independently for inclusion. Through a literature review, we summarize the key medical scenarios using blockchain technology. RESULTS: We found a total of 1647 relevant studies, 60 of which were unique studies that were included in this review. These studies report a variety of uses for blockchain and their emphasis differs. According to the different technical characteristics and application scenarios of blockchain, we summarize some medical scenarios closely related to blockchain from the perspective of technical classification. Moreover, potential challenges are mentioned, including the confidentiality of privacy, the efficiency of the system, security issues, and regulatory policy. CONCLUSIONS: Blockchain technology can improve health care services in a decentralized, tamper-proof, transparent, and secure manner. With the development of this technology and its integration with other emerging technologies, blockchain has the potential to offer long-term benefits. Not only can it be a mechanism to secure electronic health records, but blockchain also provides a powerful tool that can empower users to control their own health data, enabling a foolproof health data history and establishing medical responsibility.
At present, accounting information presents various and complex characteristics, which leads to the decline in the comprehensive scheduling level of accounting information security management system. For this problem, a blockchain-based accounting information security management information model is designed. This paper constructs the blockchain accounting information security association blockchain Big Data analysis model and processes the sample data, uses the semantic rough feature matching method to decompose the characteristics of blockchain accounting information, realizes the feature information fusion and autocorrelation feature matching and finally reorganizes and manages the blockchain accounting information security. The simulation results show that this method has better comprehensive scheduling ability, information fusion scheduling ability is greater than 92%, convergence is greater than 91.8%, feature recognition rate is greater than 90.1%, and management accuracy is greater than 95.6%. The design method can effectively improve the security and stability of accounting information storage and management.
The essence of “blockchain” is a shared database in which information stored is un-falsifiable, traceable, open, and transparent. Therefore, to improve the security of private information in medical systems, this article uses blockchain technology to design a method to protect private information in medical systems and effectively realize anti-theft control of private information. First, the Patient-oriented Privacy Preserving Access Control model is introduced into the access control process of private information in medical systems. Next, a private information storage platform is built by using blockchain technology, and information transmission is realized using standard cryptographic algorithms. In this process, file authorization contracts are also used to guarantee the security of private information and further prevent theft of medical private information. Our simulation results show that the storage response time of this method is kept below 1,000 ms, and the maximum information throughput rate reaches 550 kbit/s, which indicates that this method has strong performance in information storage and transmission efficiency. Moreover, the reliability and bandwidth utilization of data transmission across domains is higher, so the method has higher information security control performance and superior overall performance.
Abstract The traditional human resource management system is faced with such problems as the quality of staff recruitment can not be guaranteed, the training performance is not consistent with the actual performance, the enterprise performance appraisal is unfair, and the salary distribution is unfair, which seriously affects the enthusiasm and loyalty of employees and threatens the survival and development of enterprises. In view of the current situation and problems of human resource management system, combined with the technical characteristics of blockchain, this paper proposes a human resource management mechanism based on blockchain technology, in order to achieve the company’s human resource management system accurate, efficient, open and transparent. It is found that there is a good coupling between blockchain technology and human resource management system. This paper constructs a human resource management mechanism based on blockchain, innovates the application scenarios of blockchain technology, and provides certain guiding significance for the establishment of human resource management system and process improvement in the future.
Blockchain or Distributed Ledger Technology (DLT) has been seen a new revolutionary technology that can allow significant cost savings and increase efficiency; transform business models from human-based trust model to algorithm-based trust model, although blockchain has some potential risks, it has lots of noticeable advantages. The article discusses the advantages and risks of blockchain. Accordingly, the paper proposes blockchain risk management solutions when it it applied in entities.
With the maturity of modern science and technology, such as networks and computers, Internet of Things has been widely used in various fields of industry, opening up a new situation for the development of the industry and creating a broader development platform. This paper systematically analyzes the characteristics and changes of the commodity structure, regional structure, market structure, and main structure of export management of agricultural products. The proposed algorithm uses computer technology, network technology, and remote communication technology, electronic, digital, and network—the entire business process of business. The empirical analysis shows that the structure of agricultural product export trade reflects the endowment and comparative advantage of agricultural resources in China. The proposed blockchain technology supports and guides agricultural export enterprises to develop their own brands, strengthen the quality and safety management of agricultural products, and innovate and expand the policy support system for optimizing the structure of agricultural product export trade. By optimizing the export mode of agricultural trade, we can achieve the purpose of increasing the export volume of agricultural products and the total value of trade exports. The experimental results show the effectiveness of the proposed algorithm, which can greatly improve the volume of trade exports and the total value of trade exports.
Cross‐border trade is also changing and innovating. Electronic payment has become the core application of modern cross‐border e‐commerce. However, although electronic payment has brought convenience and efficiency to enterprises and social life, there are also many problems in transaction information security. These problems not only hinder the development of electronic payment but also bring hidden dangers to people’s property security. Therefore, an encryption algorithm of e‐commerce was proposed, and its algorithm security and risk control mode was further studied by means of case analysis, empirical analysis, and comparative analysis. Experimental data show that blockchain technology is a breakthrough. The aim of the study is to explore its application in specific circumstances and strive to make the new e‐payment mode in line with international standards.
Blockchain products are more and more widely used. How to reasonably evaluate blockchain products has become a hot issue. The main work of this paper is to establish a set of general evaluation indicators for blockchain products, and analyze the needs of future software systems. Firstly, the paper analyzes the common five-tier architecture adopted by the current blockchain system, namely data layer, network layer, consensus layer, smart contract layer and application layer, and expounds the hierarchical characteristics and technical contents of each layer in detail; Then on this basis, a set of general evaluation indicators is proposed for the current common blockchain products, in which the evaluation indicators can be divided into six items: distributed ledger evaluation indicators, public key password evaluation indicators, point-to-point network technology evaluation indicators, consensus mechanism evaluation indicators, intelligent contract mechanism evaluation indicators and upper layer application evaluation indicators. The establishment of indicators can comprehensively evaluate the availability, security and system performance of blockchain products. Finally, based on the evaluation index, the functional and non functional analysis of the blockchain product evaluation system is carried out, which lays a good foundation for the realization of software in the future. The design of evaluation indicators and the functional analysis of the evaluation system will promote the standardization of blockchain products.
In recent years, Blockchain technology has been mentioned for many times in the fields of finance, Internet and energy, and it is a distributed data ledger that is decentralized, authentic, reliable, traceable open and transparent. Blockchain is constantly figuring out how to integrate with other industries. This paper analyzes the current situation in the field of medical devices of China by combing the Annual Report on Medical Device Adverse Event Monitoring from 2013-2019, and using the compound annual average growth rate. The analysis found that this field has pain points such as lack of third-party regulation and difficulty in traceability, and then it proposed the specific application of blockchain technology in the field of medical devices to solve the problems in this field.
The prediction of the financial market has gradually attracted attention from investors. As an emerging market, digital currency has become an indispensable and essential part. The common analysis methods are mainly machine learning and its derivatives. The daily frequency data of Bitcoin prices are obtained in this paper from June 2018 to September 2020. The Hidden Markov Model (HMM) is used to predict Bitcoin prices. In the model, the input observation sequence of the model is selected, including closing price, trading volume, and hidden state. They are in line with the current mainstream market perception: bull market, stable, and bear market. The results show that the relative error of the short-term forecast is relatively low, 0.347%. Compared with traditional models and machine learning methods, the Hidden Markov Model can better identify the state of the digital currency market and predict the direction of price movements, which verifies its application feasibility in the financial market.