Reviewerly/exHarmony huggingface dataset:
Automatic Recognition and Correction System of Running Action Based on Computer Vision Technology

With the increasing improvement of living standards, healthy long-distance running has become one of the current ways of aerobic physical exercise. Long-distance running is beneficial to many bodily functions such as neck, spine, and heart, but inappropriate long-distance running can easily damage the joints of the human body. In order to make more fitness athletes run with a healthy and reasonable posture, this paper studies the automatic recognition and correction system of running movements based on computer vision technology. Based on the analysis of human motion detection methods and human motion recognition methods, an automatic recognition and correction system for running actions is designed. In order to understand the accuracy of the system in the recognition of wrong actions, this paper compares the designed system with the traditional system. The results show that the system designed in this paper has good accuracy and can control the deviation within a reasonable range.
Fast Retrieval Method of English Translation Corpus Based on Top-k Query Algorithm

The fast retrieval method of English translation corpus based on Top-k query algorithm is a technology to retrieve the most commonly used words in English translation corpus. The top k query algorithm uses the first k most commonly used words to retrieve all other words in the text, and then returns them to the user. This technique uses it to find out which word in the Chinese translation corpus is more commonly used than other words. The fast retrieval method of English translation corpus is a kind of machine translation, which uses statistical technology to obtain high-quality results at low computational cost. It is the most commonly used method to translate text into another language, and is widely used in many applications, such as automatic speech recognition (ASR) system, web search engine and so on. Compared with other methods, the main advantage of this technology is that it can process very large data sets without significant quality loss. Since then, this method has been widely used and studied by many researchers in various fields such as computer science, linguistics, information retrieval and natural language processing.
The Construction of Modern Smart Hospital Medical Management System Based on 5g + Blockchain Information Technology

The research aims to build a modern smart hospital medical management system based on 5g + blockchain information technology. The main purpose of this study is to provide a comprehensive solution for the construction of modern smart hospital medical management system based on 5g + blockchain information technology. In order to achieve this goal, we have conducted a detailed analysis and evaluation of existing technologies to find out which can be used as a substitute or supplement to the new technologies being developed. In addition, we also analyzed the advantages and disadvantages of each technology in order to select the most appropriate technology.
AI-Based Adult Education Model

Due to the great success of machine learning algorithms represented by deep learning and its applications in machine vision and language cognition, coupled with the abundant and continuous data resources brought by cloud computing technology and big data analysis, artificial intelligence education has entered a new century at an unprecedented speed. Today, all levels of human society are undergoing tremendous changes. All social parties need corresponding means to carry out intelligent teaching, but how to take the road of artificial intelligence and education?, there is still no systematic discussion. In view of this, the purpose of this paper is to study the adult education model based on artificial intelligence. On the basis of analyzing the characteristics of adult education and the status quo of adult education, in order to understand whether artificial intelligence technology is suitable for application in adult education, this paper develops. The experimental research of adult education based on artificial intelligence technology is carried out to verify the effectiveness of teaching design and teaching strategies, and to build an adult education model. After data analysis, it is found that the learners’ learning motivation and learning efficiency have improved to a certain extent, indicating that the teaching mode supported by artificial intelligence technology has a certain role in promoting adult education.
Design of Computer Aided LT System Based on Improving GLR Algorithm

With the rapid development of the Internet, human social life and social economy have entered a new era of informatization, digitalization and globalization, which makes the importance of education more and more prominent. With the emergence of “Internet +”, tremendous changes have taken place in all industries, and “Internet + education” is gradually becoming a development trend. Online education platforms are attracting more and more attention, and more schools and students are willing to learn through online LPs. In the teaching of various schools, teachers teach students in all aspects of listening, speaking, reading and writing through online platforms, which enables students to learn more conveniently and efficiently. With the progress and development of science and technology, the era of knowledge explosion has been ushered in, and the knowledge is being updated faster and faster. Contemporary students must be trained to be lifelong learners to adapt to this age of knowledge explosion. Therefore, autonomous learning ability is becoming more and more important. Computer-aided teaching provides teachers and students with real text, pictures, audio and video and other rich teaching resources. The characteristics of timely feedback of learning results in computer-aided teaching enable students’ independent learning. But the survey and results show that we must admit that there are still many schools that are reluctant to accept student-centered teaching models and are still using teacher-centered teaching models. According to a survey, more than 80 percent of high school students say that their opportunities to develop their independent learning ability in class are extremely limited, and many teachers do not know what or how to do it. After nine years of primary and secondary education, students are used to the traditional teaching mode when they enter high school. They rely entirely on teachers to organize, plan and evaluate their English learning, without realizing that they are the center of classroom teaching. Therefore, it is urgent to provide a practical teaching mode of using computer-aided teaching to cultivate students’ independent learning for classroom teaching. The paper uses literature research method and questionnaire analysis method to elaborate the basic concepts of LR algorithm and GLR algorithm, and analyzes the feasibility and effectiveness of computer-aided language teaching (LT) by issuing questionnaires (66 questionnaires and 64 valid questionnaires).
Application-Oriented Undergraduate College Teachers’ Teaching Evaluation System Based on Network Platform

Applied undergraduate colleges and universities (CAU) are in the process of education and teaching reform. Teachers’ teaching methods also adopt different methods according to different majors, different courses, and different teaching objects. Application-oriented undergraduate colleges focus on cultivating students’ practical ability. The proportion of practical courses occupies an important proportion in the entire teaching process, and is closely related to students’ future development and employment. Most of the teaching evaluation systems currently used are mainly for students to teach teachers’ teaching conditions, and then feedback the scoring results to teachers, which is only a single teaching quality information release. There are still some drawbacks in this way, such as the low degree of reference of the teaching evaluation results, the poor operation channel of the system when multiple users log in, and many other problems. The teaching evaluation (TE) system based on the network platform (NP) in this paper realizes online teaching evaluation through network technology. The system combines the actual characteristics of application-oriented undergraduate colleges, and formulates a teaching evaluation system that conforms to various majors. It can timely and accurately carry out teaching quality monitoring and teaching quality management.
aMLP-ReID: A Vision MLP Architecture Mixed Linear Attention for Person Reid

The Vision Transformer architecture based on Self Attention has been found performing well in feature extracting compared with the CNNs, but there were simply few studies on downstream detecting tasks. The person re-identification task lies on judging whether there is a specific person by extracting image features. There is inevitable loss when convolution kernels are operated with pooling and downsampling with traditional methods based on convolutional network. Therefore, we considered replacing Multihead Attention in Vision Transformer mechanism with a MAL layer based on Vision MLP. The attention mechanism aggregates spatial information. Specifically, the constructed MAL layer explored the MLP structure fitting spatial information. Based on the MLP structure, aMLP-reid mixed linear attention with which was proposed for person re-identification. The improvement was obvious compared with the CNNs on several popular datasets after plenty of experiments. The experiments also demonstrated the effectiveness of Vision MLP architecture for image matching tasks.
AThe Impact of Personalized Recommendation Based on Algorithm Mechanism on New Media Communication

With the advancement of machine algorithms and artificial intelligence technology, the distribution mechanism of media information content has been continuously improved, and the match between content and readers has been greatly improved, and the era of intelligent media is coming. Among them, the content distribution model based on personalized recommendation technology has emerged in the market, which is also the focus of this paper. The main purpose of this paper is to study the impact of personalized recommendation on new media communication based on the algorithm mechanism. This paper mainly analyzes the outstanding characteristics of personalized recommendation news clients, which is to use personalized recommendation technology to collect and analyze user interest characteristics. A user forms an interest graph, and then achieves the purpose of accurate information distribution according to personal preferences. Experiments show that in terms of users’ browsing habits, only 16.53% of them have no fixed browsing habits, and 65.11% of users say that they will preferentially browse the channel content that they are interested in or that the platform automatically pushes.
Music Performance Score Database on Account of Fusion Algorithm

In the context of constant iteration of the algorithm, the fusion algorithm continues to innovate and develop, and this algorithm is making efforts for the sustainable development of the social economy. The iterative development of fusion algorithm provides an opportunity for the algorithm to update, brings a powerful tool for the social economy to constantly bring forth the new, and brings advanced theoretical benefits for the society to remove obstacles. The design and development of music performance score database on account of fusion algorithm has brought benefits to the field of music performance score. It is because of the development of fusion algorithm that music performance score may have a more powerful theoretical basis. This article studies the fusion algorithm on account of the music playing a song of the definition of database design and development, the principle and the related content, this paper expounds the music playing a song data, design and development of the relevant contents of the database design and development of the fault tolerance of music playing a song system, an inclusive has very obvious advantages. Through the data test, the results show that the design and development of music performance music score database on account of fusion algorithm has obvious advantages compared In the context of traditional music performance music score database. The system convenience, reliability, efficiency and robustness of music performance music score reach 84.28%, 91.04% and so on. 93.26% and 98.11% efficiency.
Economic and Trade Cooperation (EATC) Based on Data Fusion Algorithm on High-Quality Industrial Development

In recent years, the model of China's overseas EATC zone has been recognized by the governments of developing countries. The governments of developing countries are aware that the model of China's overseas EATC zone can drive the local private economy, promote industrial transformation and upgrading, and is conducive to high-quality industrial development. Proposed the intention to jointly build a local industrial cooperation zone with China. Based on the data fusion algorithm, this paper studies and analyzes the impact of EATC on the high-quality development of industry, puts forward the data fusion technology, discusses and analyzes the internal force analysis of the basic development conditions, basic principles and strategic guarantee measures of development projects of the EATC zone, and statistically analyzes the impact of EATC on the high-quality development of industry by using the data fusion algorithm. The statistical results show that the income structure of farmers has changed significantly before and after economic and trade cooperation. Before the economic and trade cooperation, farmers’ income was mainly business income and wage income, accounting for 95.50% of farmers’ family income. After the economic and trade cooperation, farmers’ income structure was obviously dominated by wage income, an increase of 9.3%, which shows that farmers who joined the cooperative transferred their land to the cooperative operation, liberated the labor force and increased their family income; At the same time, 33.33% of the parks have achieved basic profits, and 11.9% of the parks have made considerable profits. In the long run, the parks with high-quality development should present diversified profit models in the park economy, and EATC plays a positive role in promoting the high-quality development of the industry.
Action Image Recognition and Classification System Based on SIFT Algorithm

With the rapid development of high-tech, image processing technology is becoming more and more mature. However, some images taken in real life usually increase the difficulty of image recognition due to excessive noise, low pixels, image deformation and other reasons, and at the same time, the number of images is increasing, which makes the current recognition and classification system makes the recognition efficiency of images slow and the classification accuracy low. Action images often produce afterimages during the shooting process. In order to improve the matching and recognition rate of this type of image, this paper takes action images as the research object, and designs an action image recognition and classification system that can achieve high recognition accuracy. The SIFT algorithm is introduced into the system to improve the performance of the system to process images. Through the application of the system in action image recognition, it is found that the SIFT algorithm proposed in this paper has a good image classification effect.
Intelligent Application of Digital Information Technology Based on Top-N Recommendation Method

With the rapid development of the Internet in China and the further improvement of the penetration rate of mobile phones, the base of mobile phone netizens is increasing day by day. The news client has appeared on the media stage as a new thing. With the sharp increase in the amount of data, traditional collaborative filtering algorithms have problems of sparsity and cold start. Based on this, this study proposes an improved item-based collaborative filtering model. Firstly, descriptive statistical analysis is carried out on the user's historical data to grasp the basic situation of the user's reading news information. After that, a user-item matrix based on implicit scoring is constructed. The item similarity is calculated by the cosine similarity formula, and the top 5 pieces of information with high interest are selected to recommend to users. Use precision and recall to evaluate recommendation performance. In addition, the mode method and Top-N recommendation method are used to solve the problem of user cold start. Finally, the follow-up research points need to be paid attention to, so as to promote the further development of news client recommendation.
The Application and Dissemination Path of Intelligent Algorithm Big Data Analysis in Film and Television Creation

In recent years, with the continuous development of my country's intelligent algorithm BDtechnology level, people's research and exploration in the application of intelligent algorithm BDanalysis has become more and more in-depth. In order to make greater breakthroughs and development in the application of intelligent algorithm BDanalysis in FTC and the research field of dissemination path. Based on the application of intelligent algorithm BDanalysis, this paper explores the application and propagation path of intelligent algorithm BDanalysis in film and television creation (FTC) from a new perspective. This paper briefly introduces the application of current intelligent algorithm BDanalysis in FTC and the application and development trend of communication path research. Under the influence of intelligent algorithm big data, new artistic creation methods and means have emerged in FTC. In the process of film and television production, script creation, image processing, film and television editing and other links have been intelligently applied, which saves creation costs and shortens creation. Time also improves the quality of the work. The final result of the research shows that when the number of FTCs under the analysis of the intelligent algorithm bag date (BD) is 73, the dissemination efficiency of its FTC is 85.3%. In the application of BDanalysis using intelligent algorithms, the dissemination efficiency of FTC works in advance is not affected by the number of works, and the dissemination efficiency has always been maintained at an average level of 85%, which is relatively stable.
Application of Deep Learning Hierarchical Perception Technology in 3D Fashion Design

Deep learning layered perception technology is the most important part of 3D fashion design, which can be used to create 3D models. Deep learning algorithms will help designers find out what clothes and accessories are suitable for their customers. It will also help them make more accurate decisions in designing clothing and accessories through the use of data analysis. 3D fashion design is a new trend in the field of industrial design. 3D fashion design has the following advantages: 1 High quality and low cost; 2. Mass production, suitable for mass production; 3. It can be used to produce all kinds of clothing and accessories, so it has great application prospects in clothing industry, footwear industry and other industries that need high-quality products.
The New Model of International Trade Settlement Based on Blockchain Technology

Payment and settlement is an important link in international trade. With the continuous increase of trade volume, the lagging settlement methods have exposed more and more problems, such as low settlement efficiency, high settlement cost and high settlement risk, which have become an important factor restricting the development of trade. The current international trade settlement system is very expensive and slow. It takes a long time to complete the transaction, possibly as long as two weeks. In addition, there are many intermediaries involved in this process. The cost of this system is too high for small businesses and individual traders who do not have enough funds to pay all the expenses. In recent years, the development of blockchain technology has become the focus of financial innovation. Blockchain settlement solutions have begun to receive the attention and exploration of financial institutions. Blockchain technology has the characteristics of decentralization, non tampering, transparent transaction information and simple process, which can well solve the problems in traditional settlement methods. In the future, with the maturity of technology and the improvement of regulatory system, blockchain settlement will bring new breakthroughs to the development of international trade.
Development Trend of Film and Television Art Based on Big Data

World media called 2014 the “first year of big data” in the Internet field because “big data” in the Internet field was applied to various industries this year. Big data has also had a great impact on human society, business activities and media. The term “big data” means that a large amount of information is being collected, stored and analyzed in real time. This is a new phenomenon, accompanied by the rapid growth of computing power and storage capacity. The resulting growth in available data is changing the way we live and the way we work, study and do business. Big data can be divided into two categories: structured big data (structured or semi-structured) and unstructured big data (unstructured or semi-unstructured). Structured big data refers to structured information such as databases and spreadsheets.
Research and Design of Computer Scoring for College Students’ English Translation

There have been relatively mature research results in the field of machine translation and automatic composition scoring, but the research in the field of manual translation scoring is not deep enough. In the composition scoring of the same subject, the multiple linear regression method is used to establish the equation between text features and scores. However, the relationship between the text features selected in human translation scoring is more complex. If the method in composition scoring is used to build the model, it can not achieve the best effect. In this context, this paper attempts to build a Chinese-English manual translation scoring model, and on this basis, build a college students’ translation scoring system.
Application of GLR Algorithm in Syntactic Analysis of English Long and Difficult Sentences

English reading teaching can help students develop listening, speaking, reading and writing skills and cultivate students’ comprehensive language ability, which plays an important role in senior high school English teaching. The effective identification and analysis of their complex structures are directly related to the quality of English-Chinese translation. Based on this, the syntactic analysis technology of English long and difficult sentences is studied, and a long and difficult sentence splitting strategy based on GLR algorithm is proposed. The long and difficult sentences are divided into fragments at different levels, and analyze the simple phrases in each fragment, so as to extract the main structure of the sentence and pave the way for the generation of translation; At the same time, the wrong splitting is corrected, which effectively improves the rationality of syntactic analysis. The experimental results show that the strategy is reasonable in the segmentation of long and difficult sentences.