Reviewerly/exHarmony huggingface dataset:
Research on Computer Aided English Curriculum Design in Higher Vocational Colleges

Strengthening the connection between secondary and higher vocational education is one of the primary tasks of current vocational education, which is of great significance to improve the quality of vocational education. Computer aided English curriculum design has been more and more developed and applied in higher vocational colleges. In view of the problems and misunderstandings in the process of practice, this paper proposes that English teachers should have a unified understanñding and correct attitude, improve the quality of English teachers in higher vocational colleges, and strengthen the construction of infrastructure in higher vocational colleges, It aims to promote the development of computer aided English curriculum design in higher vocational colleges.
Research Design of English Teaching Resource Management System Based on Collaborative Recommendation

Aiming at the “lost” and “waste” of current English teaching resources In order to realize the system, firstly, the use cases of the system are analyzed. Based on the use case analysis, the functions and overall architecture of the system are designed respectively, and the collaborative recommendation module is designed. The combination of For the professional attributes and other attributes of old users, the hybrid recommendation algorithm is used to recommend learning resources. Finally, the partially implemented interface is given.
Research on Design of English Teaching Resource Management System Based on Collaborative Recommendation

The design of English teaching resource management system based on collaborative recommendation is a research aimed at designing and implementing an e-learning environment for teachers to recommend materials to students. The main purpose of this study is to develop a recommendation system to help teachers recommend textbooks with high efficiency and quality. This study also aims to develop an effective recommendation system to improve the quality of students’ English learning materials. Researchers are interested in finding out what recommendations can be made by using collaborative recommendation systems (such as wikis or social networks) and how to use these tools to improve.
Analysis of the Rational Use of Context Construction in College English Teaching Based on Association Rules Mining Algorithm

In our country's education, in order to help more students have a strong interest in learning, teaching methods are various and colorful. Among them, the teaching method of situational teaching is to take students as the main body, through some specific scenes, students can participate in it, learn more knowledge, and situational teaching is more conducive to developing students’ vision, Mobilize the enthusiasm of students. In order to improve the level and efficiency of College English teaching, the paper designs the analysis of the rational application of context construction in College English Teaching under the association rule mining algorithm. Through the analysis of the connotation of situational teaching, this paper studies the application of situational teaching in College English teaching, so as to better arouse students’ interest in English.
Application of Big Data Informatization in Public Utilities Response

With the advancement of China's market-oriented reform, the response of public utilities is developing towards diversification and normalization. The new environment has higher and higher requirements for the reliability and accuracy of public utilities response, and there is an urgent need for perfect technical support. Neural network algorithm can accurately identify the complex external environment and make the optimal decision, which can meet the relevant requirements of public utilities response. Based on this, the application of neural network algorithm technology in public utilities response is studied and discussed in this paper. Firstly, this paper combs the development process and research status of neural network algorithm, and analyzes the research status and future development needs of public utilities response problem. On this basis, the feasibility and method of applying neural network algorithm to public utility response business are discussed, which provides a reference for the of public utility response.
Design and Implementation of Oral Training System Based on Automatic Speech Evaluation

With the development of human-computer interaction technology, autonomous learning using computer-aided language learning system (call) has become an important learning method for students’ English learning. Oral learning only helps you on the road. As for the latter, it depends on yourself, And to this extent, adults are fully capable of summing up their own learning experience and methods, and counseling appears in the form of mutual communication. Aiming at the application of speech recognition technology in oral English training system, according to the characteristics of voiced pronunciation, each syllable must have voiced part and voiced pronunciation energy is large, an improvement of HMM Speech automatic segmentation algorithm is proposed; It is proposed to evaluate the quality of oral pronunciation from the three dimensions of correctness, rhythm and fluency, which better ensures the authority of the evaluation results, and makes the results of machine evaluation and expert evaluation have high likelihood. The research on speech signal and speech recognition is not only an important research content.
Detection of polarization-spatial classical optical entanglement in partially coherent light fields using intensity measurements

Detection of polarization-spatial classical optical entanglement through implementation of partial transpose on measured intensities is explored. A sufficient criterion for polarization-spatial entanglement in partially coherent light fields based on intensities measured at various orientations of the polarizer, as implied through partial transpose, is outlined. Detection of polarization-spatial entanglement using the outlined method is demonstrated experimentally through a Mach-Zehnder interferometer setup.
Research on College Students’ English Online Autonomous Learning Based on ID3 Algorithm

The purpose of this project is to study the use of ID3 algorithm in online learning environment. The purpose of this study is to study whether autonomous learning based on ID3 algorithm can be used as an effective tool for College English teaching. This research will provide us with information about how students learn and use their online resources, what impact it has on them, and whether there are any negative effects of using these tools. This study aims to determine whether students can learn English more effectively when they are able to work by themselves, rather than when they are assigned tasks that require them to complete in a group environment. The study will involve two groups: one group will work independently, and the other group will work together using an online program called English Online Autonomous Learning (eoal). We intend to provide an effective and efficient English teaching method by using ID3 algorithm. The main purpose of this study is to find out how ID3 can be used as an autonomous learning system for English teaching through web-based multimedia tools such as video clips and audio files.
Application of Data Analysis Technology in Physical Education Teaching

Learning situation analysis is not only the basic link of teaching activities, but also one of the basic ways to improve effective teaching. However, only on the premise of ensuring the effectiveness of learning situation analysis can we improve the effectiveness of teaching. Compared with other teaching, physical education teaching has more urgent needs and stricter requirements for learning situation analysis. Therefore, this paper uses data analysis technology to elaborate what teachers should pay attention to and how to do when doing learning situation analysis of physical education teaching from the current situation of learning situation analysis of physical education teaching, the mode of learning situation analysis of physical education teaching and the method of learning situation analysis of physical education teaching, In order to provide theoretical guidance for physical education teaching practice.
Design and Research of College Students’ Comprehensive Quality Evaluation System Based on Evolutionary Algorithm

This paper studies the design of College Students’ comprehensive quality evaluation system based on evolutionary algorithm. The current evaluation system mainly focuses on quantitative evaluation, displays the results in the form of summary evaluation, and lacks qualitative evaluation and process evaluation. The comprehensive quality of college students has increasingly become the focus of social attention. Colleges and universities are important places for cultivating high-quality talents. Therefore, strengthening comprehensive quality education is not only the need of the times, but also the need of China's higher education reform. Combining evolutionary algorithm with college students’ comprehensive quality evaluation, a college students’ comprehensive quality evaluation system based on electronic archives is developed, which better unifies qualitative evaluation and quantitative evaluation, process evaluation and summary evaluation.
Decision Support System Model of Education Management Based on Cloud Storage Technology

This paper theoretically expounds the concept of cloud storage technology, and demonstrates the core application of cloud storage technology in educational management decision support system. Model management is not only the focus of decision support system research, but also the key to the practicability and success of decision support system. Flexible and practical model management is of great significance to assist decision-makers to understand complex practical problems, select appropriate models and improve the effectiveness of decision-making.
Application of Network Curriculum Platform Based on Cloud Computing in Physical Education Teaching

With the rapid development of information courses, there are problems in the construction of educational resources, such as huge total resources, serious alienation of resource structure and weak sharing and application. Students are often lost of teaching resources. In order to use cloud computing technology to build a network curriculum resource sharing platform, which can realize the physical education, suitable for college students’ cooperative learning and achieve better physical education teaching results.
Research on the Design of Modern Music Creation System Under Data Technology

The innovative and diverse nature of modern musical composition has become an indisputable fact. With the rapid development of modern information technology, the corresponding computer music composition has also emerged, and the application of artificial intelligence in the field of music has become an emerging field of research, which poses a new challenge for music sociology. But while computer music poses challenges, it also presents many opportunities for musicians. This paper presents a study of modern music composition based on deep learning algorithms, analysing the trends and characteristics of this new approach, in the hope that such research will make technology work better for music.
Application of Stochastic Simulation Algorithm in Evaluation of PE Training

At present, there are many studies on the evaluation of primary physical education teaching ability, but most of them are constructed before the implementation of the new curriculum standard. This relatively old evaluation system is difficult to objectively and accurately evaluate the teaching ability of physical education teachers at this stage. Due to the inaccurate evaluation, teachers may lead to psychological imbalance and can not devote more energy to the improvement of teaching ability. Therefore, in order to improve the scientificity and objectivity of physical education teachers’teaching ability evaluation, this paper studies the application of random simulation algorithm in physical education teaching evaluation.
Research on Sales Simulation Teaching System Based on Data Mining

The research on sales simulation teaching system based on data mining is a research aimed at using data mining technology to improve the quality of sales simulation training. The main objective of this study is to develop and apply an effective learning management system that will allow students, teachers and trainers to manage their knowledge about sales simulation by creating a database that contains all the information they need to learn from it. The application of data mining technology in this case is accomplished by applying machine learning algorithms (such as decision trees) to a large number of data collected from different sources. The main purpose of this study is to understand whether there are any differences in the learning outcomes of students who use different types of sales simulation professors, and how these differences affect their performance in this field. This research will also help us understand which types of sales simulations are most effective for teaching, which should be used more frequently, and why they are better than other simulations.
The Design of English Teaching Resource Management System Based on Genetic Algorithm

In the process of educational informatization construction, the computerization of educational resources is one of the core contents of educational informatization development. With the rapid development of information technology, computer technology and general recommendation technology and the reform of modern teaching mode, the traditional graduation creation teaching tools can no longer meet the needs of modern teaching. Especially in recent years, the number and type of educational resources are increasing, which is becoming more and more important to teachers and students. Due to the increase in the number and diversity of online education resources, network resource management is more common and important. Network resource management has become a new form. We should establish an educational resource management system that meets the needs of education. This paper introduces the creation and development of educational resources at home and abroad, and determines the content of educational resources according to their own needs. This paper designs and implements an English teaching resource management system based on collaborative algorithm and database management system. The purpose is to provide effective and comprehensive management of English teaching resources and give full play to the functions of teachers and students. The research and development system can effectively manage and use English teaching resources, better meet the needs of students and teachers, and better serve teaching.
The Path of English Subject Under Genetic Algorithm in the Construction of College Campus Culture

Culture is the soul of a country and a nation. To build a socialist cultural power, we must adhere to a high degree of cultural consciousness and cultural self-confidence, fully stimulate the cultural creativity of the people in the whole society, and strive to realize the great rejuvenation of the Chinese nation. In terms of cultural construction, campus culture, as a special cultural form, is produced with the emergence of higher education. This paper is a preliminary study on the path of English discipline in the construction of campus culture in Colleges and Universities under the background of big data.
The power of microscopic nonclassical states to amplify the precision of macroscopic optical metrology

Abstract It is well-known that the precision of a phase measurement with a Mach-Zehnder interferometer employing strong classic light can be greatly enhanced with the addition of weak nonclassical light. In the context of quantifying nonclassicality, the amount by which a nonclassical state can enhance precision in this way has been termed its ’metrological power’. To-date, the enhancement provided by weak nonclassical states has been calculated only for specific measurement configurations. Here we are able to optimize over all measurement configurations to obtain the maximum enhancement that can be achieved by any single or multi-mode nonclassical state together with strong classical states, for local and distributed quantum metrology employing any linear or nonlinear single-mode unitary transformation. Our analysis reveals that the quantum Fisher information for quadrature-displacement sensing is the sole property that determines the maximum achievable enhancement in all of these different scenarios, providing a unified quantification of the metrological power.
Using Deep Convolution Neural Network to Detect the Wrong Movement in Physical Education Teaching and Training

In order to reduce the error rate of sports teaching and training error action detection and improve the detection effect, a sports teaching and training error action detection method based on deep convolution neural network is studied. The main idea of this method is to detect errors in physical training based on deep convolution neural network. The error detection process can be divided into two parts: first, we need to find out whether the physical exercise data is correct; Second, if they are wrong, we need to find out where they are wrong. Therefore, our model is designed as a combination of traditional and new methods, such as deep learning and other machine learning techniques.
Construction of Quality Evaluation System for Innovative and Entrepreneurial Talent Training Under Artificial Intelligence System

Building an innovative country and promoting employment through entrepreneurship is China’s major development strategy for the future. Building an innovative country needs to vigorously cultivate Bi-innovation talents. Based on the analysis of the quality structure of Bi-innovation talents, this paper puts forward reasonable ideas on the quality evaluation system of Bi-innovation talents from four aspects: evaluation principles, evaluation objectives, evaluation indicators and evaluation methods.
Real time facial expression and gender recognition with feature integrated CNN

For social communication, facial expression recognition is crucial; further improvement with additional facial attributes like gender can boost the performance of intelligent applications. Recently, the incorporation of deep learning methods extended the research of facial expressions and gender recognition. The deep learning method gives a better detection rate but incurs high computation costs and memory requirements. In this regard, a feature-integrated convolution neural network, namely FusedEGNET, has been designed with fewer parameters to deploy in real-world environments. Further, it utilizes joint supervision with softmax and centre loss to learn the discriminative features of facial expressions. Besides, evaluations of five publicly available facial expression datasets, namely FER-2013, JAFFE, CK+, KDEF, and FERPlus, along with the Adience and CK + datasets for gender recognition, have also been carried out. Finally, to examine the efficiency of the proposed method, an application has been developed and applied to detect real-time facial expressions and gender.
The Direction of English Teaching Reform in the Context of Internet Plus

With the rapid development of science and technology and the popularization of network, the Internet is more and more widely used in English teaching, which brings great challenges to college English teaching. Internet English teaching not only improves students’ learning efficiency, but also cultivates students’ ability to find and solve problems. At the same time, the Internet also brings a good opportunity to innovate English teaching methods. Therefore, how to seize the opportunity and reform teaching methods under the tide of the rapid development of the Internet has become a real concern of schools. This paper analyzes the challenges faced by College English education in the Internet plus era, and puts forward suggestions for the study of English teaching strategies in the new era, which has positive guiding significance for the realization of the innovative development of English education and the effective training of comprehensive talents with high quality.
Research on Teaching Development and Application of Data Mining Algorithm in Japanese Corpus

The application of corpus in teaching will benefit many students and teachers. Teachers can use corpus retrieval tools to count the frequency of vocabulary in teaching materials and use corpus to compile teaching vocabulary according to the progress of learning and teaching and the relevant contents of teaching materials; Based on the research on the teaching development and application of data mining algorithm in Japanese Corpus, this paper attempts to build a small Japanese Corpus to provide a useful reference for Japanese classroom teaching.
Research on the Application of College English Ecological Teaching Model Based on EM Algorithm

With the progress of modern science and technology and the development of modern life, the concept of ecology is deeply rooted in the hearts of the people, which not only affects many fields such as environment, civilization, ethics and food, but also extends to college English teaching. Therefore, the focus of this paper is to analyze the ecological factors in the current college English teaching system according to the theories and principles of ecological philosophy and classroom ecology, and combine the ecological theory with college English teaching practice to build a new college English ecological teaching model. This paper will investigate the current situation of College English Classroom Ecology and analyze the reasons for the imbalance of College English classroom ecology, and build a new, harmonious, dynamic, balanced and open English ecological teaching model in line with the niche principle, the law of limiting factors, the law of tolerance and the principle of optimum in order to solve the problems existing in College English teaching. The innovation of this study is the effective combination of ecological theory and College English teaching practice, which will help to overcome the shortcomings of non-compliance with ecological requirements, low efficiency and time-consuming in the current college English teaching practice, and promote the continuous reform of College English teaching so as to make new breakthroughs and progress. However, classroom ecology is already a new research direction. Combining it with college English teaching practice and constructing a new college English ecological teaching model is a long-term and continuous improvement process in practice. Therefore, this study has great limitations, but I hope this study can provide new enlightenment for College English teaching practice.