Reviewerly/exHarmony huggingface dataset:
The Development of Computer Translation System Based on Artificial Intelligence Technology

Computer translation is the process of converting one language into another language by using the programming and computing power of computers. If the corpus is borrowed, more possible automatic translation effects can be achieved by processing grammatical structures, word identification, and vocabulary combinations. Due to the initial underdevelopment of the computer industry, this new technology has not made substantial progress. Later, with the development of computer technology and the improvement of various artificial intelligence technologies (AIT), computer translation developed slowly, and some practical systems were formed. This paper uses artificial intelligence technology to build the overall framework of the computer translation system (CTS), and tests the sensitivity of the system to translate sentence length. Compared with the manual translation method, the computer translation system is more efficient and accurate when translating.
Research on Cross-Border Electronic Evidence Network Forensics Cooperation and Response Mechanism

Combating cybercrime is a difficult problem and challenge that all countries in the world need to face together. Countries should carry out research on application and cooperation mechanism in the legal evidence collection of electronic data; In view of the differences between countries and regions in terms of electronic forensics, forensics technology and software and hardware equipment standards, as well as differences in industry norms and legal norms, carry out research on electronic data laboratory certification and standardized management, cooperation system, third-party payment and virtual currency forensics, forensics confidentiality and cooperation in the field of certification in specific countries and regions Cooperation and response mechanism construction.
Volleyball Training Based on Virtual Reality Technology

In recent years, under the influence of the spirit of the women’s volleyball team and the upsurge of winning the women’s volleyball team, China has once again set off a wave of promoting and learning the spirit of women’s volleyball. At the same time, it has also set off a wave of learning volleyball in the society. However, compared with football, basketball and other ball sports, volleyball focuses more on action skills, especially for beginners. Due to the special sports skills of volleyball, many It is difficult for beginners to get started, and it can even be frustrating. The advancement and development of technology has made us see a lot of impossible possibilities, especially the emergence of virtual reality technology and its wide application in many fields, especially the technical advantages in sports training provide a powerful technology for volleyball training support. The research theme of this paper is to start with virtual reality technology, combine the main characteristics of VR technology, and deeply integrate the technical and tactical movements and sports skills of volleyball to seek an effective integration of the two. Volleyball learning provides more help.
Image Encryption Algorithm Based on Internet of Things Technology

Our production and way of life are increasingly affected by computer networks, and the problems of network security, data leakage, and information leakage are becoming increasingly prominent. With the rapid development of modern science and technology and network communication technology and the deepening of people's awareness of security awareness. Encrypting information is an important way to improve information security. The purpose of this paper is to study the image encryption algorithm based on the Internet of Things technology. This paper studies the image encryption algorithm based on the Internet of Things technology, uses the chaotic Duffing equation to sample and quantify the image, compares different image encryption algorithms to detect the encryption speed, and proposes an image encryption algorithm based on the Internet of Things technology, which makes image encryption more efficient and provides convenience for a broad audience. According to the speed comparison of the two algorithms for decrypting images of different sizes with 256 grayscales, it can be found that the substantial increase in encryption speed means that not only the Internet, but also the processing of digital images on smart devices is also enhanced, and the development of encryption applications can also be enhanced. Become reality.
BloodMan-Chain: A Management of Blood and Its Products Transportation Based on Blockchain Approach

Today’s rapidly increasing demand, product severity, strict age and handling requirements, and operational system preservation requirements, make blood and its products supply chain management become a complex but fundamental matter. On the other hand, blood and its products are one of the products that have not found an alternative and play a massive role in the treatment of diseases today. The current supply is obtained from only the blood of volunteers (known as donors). In particular, depending on the type of product extracted from the blood (e.g. red blood cells, white blood cells, platelets, plasma). They require different procedures and storage environments (e.g. time, temperature, humidity). However, the current blood management processes are done manually - where all data entry is done by medical staff. Furthermore, data related to the entire blood donation process (e.g., blood donors, blood recipients, blood inventories) are centrally stored and are difficult to assess reliably. Ensuring centralised data security is extremely difficult because of stealing personal information or losing data. To address these limitations, in this paper, we introduce the blood management process based on blockchain technology and store data in a decentralized distributed ledger called BloodMan-Chain. Specifically, we target two main contributions: i) we design the BloodMan-Chain model to manage all relevant information about blood and its products based on blockchain technology, and ii) we implement the proof-of-concept of BloodMan-Chain by Hyperledger Fabric and evaluate this in the two scenarios (i.e., data creation and data access).
Xuexin Communication APP Based on Blockchain Technology

Blockchain application scenarios have gradually expanded from the initial digital currency to file storage and other fields. The purpose of this paper is to study the design and implementation of ICT APP based on blockchain technology research. The insufficiency of current student educational information systems is elaborated, and the importance of applying blockchain technology to educational information around the world is expounded. Introduced the concept, principle, characteristics and types of blockchain, conducted a simple feasibility study on the design of Xuexintong APP, and then introduced various requirements of the APP in detail, including functional and non-functional requirements, and gave The use case is presented, the user diagram of the system is given, and the system overview is described in detail at the end. This paper introduces the development and testing environment and construction process of the APP, and evaluates the design results of the platform. The index scores are all above 70 points.
Design and Application of Automatic Evaluation System for Oral English Based on Neural Network

In order to realize automatic oral English evaluation system based on neural network, help students to evaluate oral English and improve their oral English level, this paper will carry out relevant research. Study firstly introduces common classification of neural network, and analyses the characteristics of all kinds of neural network, then in combination with characteristics of all kinds of neural network, the design of automatic measurement system based on oral English need to selection of neural network, and then based on the neural network has carried on the system design, finally introduced the system application. Through the research, the design goal of automatic test system for oral English is accomplished, and the correct application method can effectively improve students’ oral English level.
Application of Cloud Computing in Computer Network Security Storage

Network virus, hacking and other threats have been undermining data storage security in computer network. Thanks to some advanced technologies like cloud computing, it is possible to build a more secure storage system in the network. Therefore, this paper elaborates on the design of a secure storage system based on cloud computing. Firstly, this paper introduces key technologies of computer network security storage in cloud computing, including identity authentication, backup data, data encryption and key management. Then, resorting to methods like theoretical derivation, case analysis and process deduction, it further discusses the application of cloud computing technology in computer network security storage, in aspects of cloud architecture design, cloud computing services, node management model, load balancing mechanism and encrypted upload. The paper aims at finding a way to guarantee the storage security in the network, so as to meet the needs of users.
Computer Network Technology in Big Data Distributed Cloud Storage Platform

In the era of big data, distributed cloud storage platforms are widely used to store massive amounts of data and information. Compared with traditional storage methods, distributed cloud storage platforms can provide flexible storage space to ensure the security and speed of platform operating data. This article uses computer network technology to design a distributed cloud storage platform, test platform file upload and download time and user login platform success rate to verify the reliability of platform operation, and realize the feasibility of user login function module operation, I hope this article distributed cloud storage platform can help people process data efficiently and realize the safe preservation of data and information.
Research and Implementation of QR Code and Maze Conversion Based on VR

This paper combines two-dimensional code with maze, discusses the recognition, generation and transformation of two-dimensional code, and shows it in the form of VR game. It strictly follows the national standard of the people's Republic of China – quick response matrix code QR code: GB/T 18284–2000, NEQ ISO/IEC 18004:2000, and puts forward an effective algorithm for the transformation of two-dimensional code and labyrinth, the determination of whether there is a solution to the labyrinth and the search for the sufficient conditions for whether there is a solution to the labyrinth. Finally, VR game is presented to the players, supplemented by the interaction mode of wireless Bluetooth handle operation, trying to give the players a new immersive game experience.
Interior Decoration Design System Based on Virtual Reality Technology

With the development of my country’s economy, the people’s living standards have gradually improved, and the housing environment has been continuously improved. At present, most of the house decoration in our country is designed and implemented by the decoration team, and this kind of decoration style is similar, and it is difficult to achieve the expected goals of the residents. Based on this background, the purpose of this paper is to study the interior decoration design system based on virtual reality technology. Based on virtual reality technology, this paper relies on Java language environment, uses Java3D open source three-dimensional graphics modeling engine, and cooperates with SqlServer database and tomcat server software. And Jsp, Servlet and other technologies to achieve system functions. Through the function and performance test of the system in this paper, the test results show that there is no functional failure of the system, and the average response time of the system is less than 3 s. The system works as expected.
Resource Transaction Management System Based on PageRank Algorithm

With the rapid development of Internet technology, the application of information technology in life is also increasing. Among the resource transaction management systems of traditional cooperatives, it is mainly manifested as a traditional and restricted closed regional transaction management system. Due to information technology with the continuous opening up, the backward resource transaction management will be replaced by an advanced and open public resource transaction management system. This paper proposes a resource transaction management system based on PageRank algorithm, which can integrate various businesses to the greatest extent by integrating information expansion technology and modern electronic technology into the resource transaction management system and daily business operations. The main research content of this paper is the application of PageRank algorithm to the resource transaction management system, which provides a feasible solution for the resource transaction management system. The resource transaction management system of PageRank algorithm can solve such problems very well. The final results of the study show that when the total number of returned results for keywords is 346, the total number of selected results is 50, and the number of relevant results is 44, the precision is 88%. From this, it can be seen that the precision rate of the resource transaction management system query ranking and comparison statistics under the PageRank algorithm is relatively high.
Research on User Influence Weighted Scoring Algorithm Incorporating Incentive Mechanism

Overall product ratings are an important basis for users when shopping online or using online services. However, some sellers and web service providers put a large amount of false rating data into the rating system to improve their own rankings, which seriously damages the interests of users. In this paper, two methods are used to reduce the impact of false ratings on overall ratings. First, a user influence weighted scoring algorithm is proposed to analyze user behavior and build a user influence model. The influence of different users on the rating is considered when calculating the overall rating to improve the accuracy of the project’s overall rating. Secondly, a blockchain-based rating incentive mechanism is designed to correlate users’ rating behavior with their interests, which effectively constrains their rating behavior and further makes them consciously, as well as proactively provide more authentic ratings. Comparing the proposed algorithm with the rating algorithms used on Douban and IMDB, the simulation shows that the algorithm performs best in terms of resistance to interference. The experimental results also show that the rating incentive mechanism can reward high-impact users and punish low-impact malicious users, and can effectively defend against malicious users.
Cloud Computing Scheduling Algorithm Based on QoS Constraints

Task scheduling and resource allocation are two important core technologies in cloud computing. The business capabilities of cloud computing mainly focus on the services brought to end users. Depending on the virtualization technology it adopts, resource allocation will be parallelized with task scheduling differently than before. Since cloud computing is user-centric, service-oriented, and commercialized, the main workflow programming algorithms today are QoS-based programming algorithms, many of which are based on programming strategies in the original grid environment, but due to the cloud environment due to the unique characteristics of workflow, the original programming strategy may have problems in execution efficiency. This paper studies the QoS-constrained cloud computing scheduling algorithm, understands the relevant theoretical knowledge of cloud computing scheduling algorithms on the basis of literature, and then designs a QoS-constrained cloud computing scheduling algorithm, and tests the designed algorithm, through the test results, it is concluded that the algorithm in this paper can make the users in the system get better service quality assurance, and improve the user’s service satisfaction as a whole.
Application of VR Technology in 3D Image Interior Design System

Today the computer technology is updated, and VR technology is widely used in many fields. As an important part of people’s livelihood security, housing construction has also widely used VR technology in recent years. At present, the application of VR technology in interior design has been relatively mature. This paper analyzes the advantages of the combination of interior design and VR technology, discusses the main VR technology application characteristics in interior design, and discusses the path of combining the two. It aims to make better VR technology usage to promote innovation and reform of interior design, making interior design more interactive, immersive and perceptive.
Application of Permutation Entropy Algorithm in Automatic Mechanical Equipment Running State Monitoring

In order to realize automatic mechanical equipment operation monitoring function, this paper will carry out related research based on permutation entropy algorithm. This paper first discusses the basic concept of permutation entropy algorithm, and then puts forward the realization idea and method of automatic mechanical equipment running state monitoring function. Through the research of this paper, under the support of permutation entropy algorithm, automatic mechanical equipment running state monitoring work can be achieved, the monitoring effect is good, so the permutation entropy algorithm has certain application value.
An Advantage Actor-Critic Deep Reinforcement Learning Method for Power Management in HPC Systems

A primary concern when deploying a High-Performance Computing (HPC) system is its high energy consumption. Typical HPC systems consist of hundreds to thousands of compute nodes that consume huge amount of electrical power even during their idle states. One way to increase the energy efficiency is to apply the backfilling method to the First Come First Serve (FCFS) job scheduler (FCFS+Backfilling). The backfilling method allows jobs that arrive later than the first job in the queue to be executed earlier if the starting time of the first job is not affected, therefore increasing the throughput and the energy efficiency of the system. Nodes that are idle for a specific amount of time can also be switched off to further improve the energy efficiency. However, switching off nodes based only on their idle time can also impair the energy efficiency and the throughput instead of improving them. As an example, new jobs may immediately arrive after nodes are switched off, hence missing the chance of directly executing the jobs via backfilling. This paper proposed a Deep Reinforcement Learning (DRL)-based method to predict the most appropriate timing to switch on/off nodes. A DRL agent is trained with Advantage Actor-Critic algorithm to decide which nodes must be switched on/off at a specific timestep. Our simulation results on NASA iPSC/860 HPC historical job dataset show that the proposed method can reduce the total energy consumption compared to most of the conventional timeout policies that switch off nodes after they became idle for some period of time.
Application Analysis of Intelligent Information Technology in Transaction Management System

With the rapid development of modern science and technology and the progress of society, our country has entered a new information age. In corporate office activities, office automation technology emerges as the times require. Office automation integrates advanced technologies such as intelligent information technology and network technology to accelerate information processing and effectively improve office efficiency and quality. The purpose of this paper is to study the application and analysis of intelligent information technology in transaction management system. On the basis of analyzing the problems existing in transaction management system, introduction of related technologies and analysis of system requirements, a transaction management system based on intelligent information technology is designed. The performance of the system was tested. The test results show that the system can still operate smoothly after 50 accounts are entered at the same time, and the success rate is 100%. The response time of the system login is below 800ms, and the response time of the other three modules is below 1000ms.
Research on Transaction Mode and Dynamic Pricing Model of Big Data Service Based on Sequential Recommendation Algorithm

Big data technology has not only become an important driving force of industry digitalization and intelligence, but also a fundamental source of innovation and development. Through the study of pricing model, the application of big data technology in service trading can be more standardized and orderly. As a special data form in the recommendation field, traditional recommendation methods are often difficult to model session sequence data. Although some scholars have improved the traditional recommendation method to solve the problem of session sequence modeling, the effectiveness of the recommendation system is limited by many problems in the model structure. In recent years, with deep learning in image recognition, natural language processing, speech recognition and other breakthroughs in the field of artificial intelligence, will study deep into the recommendation algorithm, can help to effectively solve the traditional recommendation algorithm of multi-source heterogeneous information, data sparse, cold start, data characteristics of the design of artificial rely on such issues, in this case, The results of traditional recommendation methods are often inaccurate, and the results are often lagging and repeatable.
Intelligent Mental Pension System on Account of BP Nerve Network Algorithm

Artificial nerve network (Ann) algorithm has been developing rapidly for many years and has made great contributions to solving real model problems. BP nerve network algorithm has made great breakthrough in many economic fields and made great contribution to the design of intelligent mental pension system. Under the background of BP nerve network algorithm, it is a huge deal to strengthen the design of intelligent mental endowment system. The design of the intelligent mental endowment system is to solve the problem that the information of the decentralized management system of the traditional mental nursing home is isolated and the mental endowment service facilities cannot meet the needs of real-time nursing. The system unites the superiority of RFID technology and video linkage monitoring to monitor the condition of the elderly in real time, and children can know their parents’ health status at any time. This article studies the concept and related knowledge on account of BP nerve network algorithm, explains a series of viewpoints and theories of intelligent mental pension system design on account of BP nerve network algorithm. In this text, the data test, on account of BP nerve network algorithm of intelligent mental pension system design research, test results show that the design of intelligent mental pension system on account of BP nerve network algorithm in system management efficiency, avoiding target deviation rate, model parameter optimization rate and adaptability reached 83.30%, 90.14%, etc. 92.85% and 98.28%.