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.
The traditional offline review model of grid projects has the problems of high cost, high risk and low efficiency, making the project review insecure and inefficient. What is worse, the review data of a grid project are generally stored in a central database, which is vulnerable to attacks and not highly trustable. To solve the problems, this paper proposes a ring signature trust model based on smart contract, an important blockchain technology, for project review. The blockchain technology was introduced to build an online review platform for grid projects, greatly saving human and financial resources. Then, the consensus efficiency was improved with a trust-based node consensus mechanism. Besides, the ring signature was integrated with smart contract to allow review experts to submit their results anonymously, ensuring the fairness and impartiality of grid project review. On this basis, an efficient review system was established for grid projects, and a secure review environment was created, so that the review results will not be tampered with. The case analysis proves that the proposed method can effectively solve the problems of traditional grid project review, making the review system more secure and efficient. The research findings provide decision and theoretical supports for grid project review.
With the development of the times and the rapid progress of science and technology, blockchain technology has been widely used in various industries. With the intensification of social competitiveness, the employment situation in the job market in recent years is more severe. For employers, using blockchain technology to help human resource management can improve work efficiency while saving related resource costs. Therefore, blockchain technology has also been widely used in human resource management. This article will conduct a more in-depth analysis and research on the application prospects of blockchain technology in human resource management in the future.
Abstract Blockchain is the systematic integration innovation of distributed accounting, consensus mechanisms, point-to-point transmission, encryption algorithms, intelligent contracts and other technologies, providing a solution for information security and social trust in the Information Age. The principles, characteristics and deep thinking of Blockchain technology can promote thinking innovation and solve the existing obstacles, including the weak effectiveness of education activities, the burnout of education subjects and the lack of mutual trust in the field of ideological and political education. This paper focuses on analyzing the expanded application of Blockchain theory in ideological and political education. The fit of blockchain technology application of educational thinking innovation and value orientation is 0.928; there is a linear relationship, and after applying blockchain technology for one year, the difference between the students’ thinking tendencies and the six aspects of their performance, except for the desire for knowledge, is statistically significant (P<0.5) when compared with the situation of the students one year ago. In addition, it is emphasized that we should build Learn Ledger, promote the participation degree of education subjects, establish a new interactive trust mechanism and intensify endogenous incentives to promote the deep transformation of ideological and political education, enhance the effectiveness of educational content, expand the participation in educational activities, and strengthen the multi-subject trust-relationship reconstruction of ideological and political education.
As a decentralized distributed technology, the data network built by blockchain technology is maintained by all nodes in the system, which has the characteristics of decentralization, untamperability, transparency, security and so on. In recent time, the rise of this technology has attracted much attention from finance, health care, education, public management, etc. The organic combination of this technology and supply chain network brings new changes to the industrial situation. This paper is an attempt to discuss the coupling of blockchain technology to automobile supply chain for problems such as the opacity of information and the difficulty of information interaction in the current information sharing level of automotive supply chain. This study aims to build a database of automobile product information from supply to recovery and proposes a system design concept of information sharing platform. This research will provide new ideas for visualizing product data and improving system efficiency in automotive supply chain.
This article is based on the multi-dimensional humanized teaching ideas of the Internet, using the distributed ledger of blockchain technology, decentralization, tamper resistance, traceability, fault tolerance, constructed a block chain technology-based vocational logistics school-enterprise cooperation education service platform system structure model, the system is mainly composed of three subsystems: teaching management system, information management system, certification management system, and carried out on the three subsystems Analytical modeling.
Agriculture of China is a typical agricultural system of small producer and large market. Producers are too scattered. Agricultural foundation remains weak in the vast rural areas, especially poverty-stricken areas. All of the above have built up a hedge for the high input of information industry and been a serious impediment to agricultural informationalization. As the underlying technology of electronic tokens, blockchain has become the current research hotspot, and been applied in finance, logistics, electronic commerce, information traceability and so on. Blockchain is a distributed storage and computation system, which is decentralized, so it is highly compatible with the distributed economic system. It will be a comprehensive solution to the agricultural status that is "scattered, small and weak". The book China Blockchain Technology and Application Development Whitepaper 2016 gives guidance suggestions for the application of blockchain in different industries including agriculture. This article is proposed by combining the specific status of Chinese agriculture and the technical characteristics of the block chain. Blockchain will play a very important rule in information gathering, resource integrating, profits sharing and backtracking information. Framework of blockchain for agricultural product with 7 levels of information gathering layer, data layer, network layer, consensus layer, excitation layer, contract layer and application layer was designed based on generalized blockchain according to actual situation of agriculture in China. The function of information gathering layer and data layer weve used to storage encrypted information that is acquired by IoT node in a distributed way. The Network layer was designed with a semi-distributed topological structure based on the original Peer-to-Peer distributed network structure in the blockchain by adding the supper notes. In the consensus layer, the DPOS was implied install of POW, therefore, there is no need for intensive computing. Due to the use of smart contact in the contract layer, transactions can be completed automatically in the absence of intermediaries. Furthermore, members of the Blockchain Union can also get repay by participating in the consensus with the smart contracts. The application layer was designed to provide the interface for application of government, bank, enterprise, producer and consumers. This framework can provide flexible mechanism of distributed storage, complete information consensus system, reliable information tamper-proof function and practical incentive reward measures. Subsequently, the above functions have been explained in the agricultural products quality safety traceability and application for the agricultural product market information transparency in more detail. However, the application of block chain in the field of agriculture is still in the stage of exploration, the technology is far from mature, and still need to be perfected in the process of application gradually.
CPS (Cyber Physical Systems) have got wide application and research, and information security risk evaluation became the key for CPS greatly developing. In view of the physical structure and business characteristics of CPS, this paper constructs an information security risk evaluation system for CPS. In the process of risk evaluation, colligating the analysis results from experts and the analysis results of external data sources' related big data for information security risk evaluation of CPS, by experts confirming the index system and indexes' weight values for CPS information security risk evaluation, further through using evaluation model to realize the quantitative calculation to CPS information security risks. This paper proposes using blockchain technology to construct the data's authenticity and reliability guarantee system for CPS and CPS related external systems, and constructing blockchain's layered model structure based on CPS. In the part of case analysis, comparing and analysing the evaluation system based on blockchain and big data and the evaluation system based on traditional mode, to confirm the research value of this paper.
With the vigorous development of blockchain technology represented by Bitcoin, blockchain technology has gradually surpassed the era of programmable currency and entered the era of smart contracts. Smart contracts are event- driven and stateful. With the in-depth development of blockchain technology, smart contracts use protocols and user interfaces to complete all steps of the contract process, allowing users to implement personalized code logic on the blockchain. Contract technology has the characteristics of decentralization, autonomy, observability, verifiability, and information sharing. It can effectively build programmable finance and programmable society, and is widely used in digital payment, financial asset disposal, multi-signature contracts, cloud computing, Internet of Things, sharing economy and other fields. First, it explains the basic concepts, full life cycle, basic classification, basic structure, key technologies, development status and main technology platforms of smart contracts; then discusses the application scenarios and development issues of smart contract technology, aiming to provide smart contract technology. The research and development provides reference.