Development Of Informatization Research Articles

Design of University Educational Administration Management System Based on Sensor Data and Multidimensional Information Fusion

With the rapid development of education informatization, especially the promotion and reengineering of education business processes by big data and artificial intelligence, how to participate in this major change is the main issue that needs to be considered. Therefore, under the guidance of multisource sensor data fusion technology, this paper adopts the traditional cloud computing operation method, that is, centralized data center processing, which is difficult to adapt to the rapidly expanding data scale. We also propose a new perceptual adaptive data processing method. By designing an edge node adaptive data type sensing mechanism based on counting bloom filter, we can automatically identify the ubiquitous University Internet of things data categories and corresponding fields. The simulation results show that this method improves the recognition accuracy of different data categories in university management by more than 1.3%, which can help teachers use educational technology to do well in the teaching work before, during and after class, and promote the practical application of new teaching modes such as inquiry teaching.

Few shot cross equipment fault diagnosis method based on parameter optimization and feature mertic

With the rapid development of industrial informatization and deep learning technology, modern data-driven fault diagnosis (MIFD) methods based on deep learning have been receiving attention from the industry. However, most of these methods require sufficient training samples to achieve the desired diagnostic effect, and the scarcity of fault samples in the actual industrial environment leads to the limitation of the development of MIFD methods. In addition, data-driven fault diagnosis methods often need to face cross-load or even cross-domain problems across different devices due to changes in equipment operating conditions and production requirements. In this paper, we design a parameter optimization and feature metric-based fault diagnosis method with few samples, called model unknown matching network model, for the problem of sparse fault samples and cross-domain between data sets in real industrial environments. The method combines both a parametric optimization-based meta-learning network, which extracts optimization information to adapt between different domains, and a metric-based metric learning network, which extracts metric information for similarity discriminations. The experimental results show that the method outperforms the current baseline method for the five-shot fault diagnosis problem of bearings under limited data conditions and achieves an accuracy of up to 94.4 in cross-device diagnosis experiments from bearings to gas regulators, indicating the feasibility of the method. The features are visualized by T-SNE to show the validity of the model.

Application of Realistic 3D Model in Building Prefabricated Nanomaterial Structure.

In order to solve the problem of 3D modeling in building assembly, an application of a 3D model based on the real scene in the building assembly structure is proposed. This method, based on the current BIM technology in nanomaterial design research, analyzes the problems existing in the traditional assembly structure design scheme and analyzes the feasibility of BIM technology in the forward design of assembly buildings from the perspective of theory and practical application. The experimental results show that the urban building model established by the 3D model has high precision and a good real-scene effect. The accuracy of the building model meets the requirements of 1 : 1000 mapping, has measurable accuracy, and elevation accuracy is better than 30 cm. The 3D model promotes the development of informatization.

College English Teaching Mode Based on Output-Oriented Method in Artificial Intelligence Environment

The rapid development of educational informatization has brought great challenges to college English Language Teaching, and the traditional classroom education mode can no longer meet the needs of today’s college English Language Teaching. Therefore, College English Language Teaching should strengthen the construction of mixed education mode and effectively combine online education with offline education. “Output oriented approach” is a new foreign language education theory constructed by Chinese scholars, which has attracted extensive attention of foreign language scholars and front-line teachers, and is expected to solve the problem of “separation of learning and application” of College English in China. In order to build a bridge between theory and practice, this study adopts the method of action research to explore and optimize the implementation of “output-oriented approach” in real college English Language Teaching situations in H stages, collect and analyze qualitative (student feedback, peer evaluation) or quantitative data (language test, output text), explore the education effect while making the theory “fall to the ground,” and review the theory from the perspective of practice to supplement and enrich it. In this study, the original linear education process of “output-oriented method” was reconstructed, and a new education process model was established, which made it more instructive in practice.

A Brief Discussion on the Influence and Significance of the Task Dismantling Teaching Method on the Political Education Environment in Colleges and Universities.

The ideological and political education in colleges and universities shoulders the important task of defending the Marxist ideology. It has strong value selectivity and a high degree of political principle. For a long time, the indoctrination teaching method has often been regarded as the only way to arm newcomers with Marxist beliefs from the outside to the inside. However, through the reform and opening up and the development of informatization in Chinese society, the traditional indoctrination teaching mode has become more and more inefficient and inactive show. In fact, the education of ideals and beliefs can only emit dazzling sparks when it collides with the experience world of learners. At present, the ideological and political education in colleges and universities should be fully connected with the reality of personal and social development. As far as ideological and political theory education is concerned, the central government has also issued relevant documents, mainly to strengthen the ideological and political education of college students. For this reason, it is necessary to further explore the deficiencies in the ideological and political theory education in colleges and universities, and make comprehensive improvements. By discussing the reform of ideological education in colleges and universities and studying the specific connotation of task disassembly teaching, the paper analyzes and discusses the corresponding suggestions and strategies of the political education reform of colleges and universities.

Optimization and Analysis of Intelligent Accounting Information System Based on Deep Learning Model.

Accounting information often accounts for more than 70% of an enterprise's financial report information. Accounting information is an important reference for an enterprise to make major decisions, and it is also the fundamental guarantee for an enterprise to remain invincible under the increasingly fierce business competition. With the vigorous development of enterprise informatization, traditional accounting information processing methods can no longer meet the needs of the information age. Therefore, an excellent enterprise must have a complete set of intelligent accounting information systems. How to extract the information we want from the dazzling accounting information data is a hot topic in the current financial industry. On the basis of analyzing the significance of establishing an information system, this paper creates an intelligent recognition model, which solves the shortcomings of traditional methods such as large calculation errors, time-consuming, and labor-intensive. The research results of the article show that (1) the standardized coefficients of the four influencing factors of CSR, ROE, CEO, and SCALE are relatively large, indicating that these four influencing factors have a significant impact on the development of corporate accounting and you can pay attention to these four aspects. (2) To test the performance of the article model, the experiments are compared with other models. The results show that the model proposed in this paper has the highest running success rate on the two test sets, with a success rate of more than 98%, indicating that the model in this paper has certain advantages in accounting information processing. (3) In the page response time experiment, the financial module has the shortest response time, the number of tests is 60 times, the average response time is 0.5 s, and the success rate can reach 100%. It can reach 0.8 s, and the success rate can be kept above 98%, indicating that the system can work normally. In the system operation stability test, the number of test cases designed for the financial module is 70, the number of executed test cases is 70, and the execution rate can reach 100%. This means that the system can work properly and will not fail during operation.

Construction and Application of a Cloud Platform for English Teaching Supported by Computer Network Technology

With the rapid development of network technology, network users have higher and higher requirements for understanding and using the network. At present, the wide application of cloud technology provides the best solution for people. Network is the main carrier of information exchange and interpersonal communication and a new way for human beings to obtain information. The education community, like other industries, is increasingly recognizing the importance of cloud computing and constantly using these new capabilities in education and instruction. Cloud service group and WeChat group are the new mobile applications. This article introduces cloud computing technology into college English classroom, aiming to explore new methods of college English by using the new Internet technology. At the same time, it also discusses some problems existing in the current college English classroom, providing new ideas for the reform of college English classroom. This paper adopts J2EE technology in college English classroom teaching cloud platform application. Based on B/S model, a cloud university English teaching platform is established. The cloud platform English classroom teaching system covers three modules of English listening, English reading, and English writing, covering various fields of education and management. It has laid a solid foundation for the development of education informatization and network.

Multiple Effects Analysis of Hangzhou Issuing Digital Consumer Coupons Based on Simultaneous Equations of CDM Model

Abstract With the comprehensive development of informatization, digital consumption provides a market space for various consumer coupons. Taking the consumption voucher stimulus method of the Hangzhou Municipal Government as an example, the relevant departments issued a certain amount of electronic consumption vouchers to citizens within the city online, and at the same time tracking the subsequent consumption records to promote the sluggish market economy affected by the new crown epidemic. And stimulation. This article constructs a CDM model to assist in analyzing the joint equation of the economic impact of Hangzhou’s digital consumer coupons. The multiple effects of electronic consumer coupons on the market economy and society are discussed and analyzed. After research and discussion, this method can promote the sluggish consumer market in the context of the epidemic.

Research on the Relevance of Art Courses in Colleges and Universities Based on Data Mining

With the development of educational informatization, the educational data of each school is increasing day by day. How to rationally use the existing information to make scientific teaching decisions is a problem that every educator is closely concerned about. This paper proposes a correlation analysis method for college art courses based on data mining technology. Through the study of association rules in data mining, the Apriori algorithm based on three-dimensional matrix is used to quickly mine student performance data, so as to obtain some reasonable and reliable courses. The results show that the method in this paper can find valuable information for curriculum setting from the actual teaching data, so as to reasonably optimize the curriculum, provide a decision-making basis for the revision of the art curriculum and syllabus in colleges and universities, and further improve the teaching effect and the quality of personnel training.

Chinese mathematics teachers’ use of digital technologies for instruction: A survey study

The rapid development of education informatization provides more and more K-12 Chinese mathematics classrooms access to digital technologies. As a result, it is important to understand Chinese mathematics teachers’ practices of technology integration in order to better support them. A questionnaire containing close and Likert-scale questions was distributed to 1,083 Chinese mathematics teachers to understand their usage of a list of commonly available technologies and demographic factors related to their technology usage. Results from the survey showed that search engines, self-accumulated digital resources, courseware, and smartboard were frequently used by the majority of participants. Other commonly available technologies were only frequently used by less than half of the participants. In lesson preparation the majority of participants used technologies to download resources, make courseware, and search for practicing problems. Most participants used technologies to motivate students and present knowledge and information during classroom instruction. The impact of age, grade levels, years of teaching with technology, and teacher beliefs on the participants’ technology usage was also analyzed. Implications of the findings from this study were discussed.

藏文文本摘要数据集

Automatic text summarization is a key task in natural language processing. High-quality datasets can effectively promote the research progress of summarization. Recent research is closer to generate abstractive summarizations by using the deep learning methods. However, there is a lack of high-quality and large-scale summarization datasets available to the public. Besides, it is difficult to construct this kind of dataset manually. The Tibetan text summarization task is still in its infancy due to the lack of public datasets. In order to promote the development of Tibetan informatization. we artificially constructed a small dataset of Tibetan text summarization in this paper, which is composed of 1,000 real Tibetan news articles, each with a short summary. In addition, we have also constructed more than 3,500 article keywords for each news article as a supplement to text summarization tasks.

Design of Enterprise Economic Management Intelligent Terminal for Big Data Application

With the rapid development of world economic informatization, the research and application of intelligent terminals are more and more extensive. Through the comprehensive application of big data in modern enterprise economic management, enterprises can more accurately grasp all kinds of information and mine the deep value of data information. In the era of big data, to realize the stable growth of the enterprise economy, relevant personnel need to gradually explore the enterprise economic management mode, take the enterprise financial management as the core development project, speed up the exchange of internal and external data, improve the brand awareness of the enterprise, and let the enterprise occupy a leading position in the market. Traditional enterprise economic management methods cannot run through big data combined with intelligent terminals. Therefore, this article solves the problem of enterprise economic management under the background of big data through the design of intelligent terminals. The design of an intelligent terminal for enterprise economic management under the background of big data can provide complete information for management positions. It is not only a new attempt for enterprises to explore economic management mode but also a major innovation based on an enterprise scale.

ДИДАКТИЧЕСКИЙ ПОТЕНЦИАЛ СМЕШАННОГО ОБУЧЕНИЯ МАТЕМАТИКЕ ОБУЧАЮЩИХСЯ 7–9-х КЛАССОВ ДЛЯ ФОРМИРОВАНИЯ РЕГУЛЯТИВНЫХ УНИВЕРСАЛЬНЫХ УЧЕБНЫХ ДЕЙСТВИЙ

Statement of the problem. The experience of teaching mathematics during the pandemic showed that students had difficulty organizing their own learning activities in real and virtual space, in synchronous and asynchronous learning formats. Difficulties arose in setting goals and planning activities, rational distribution of time and predicting results, as well as realizing the need to monitor, adjust and evaluate results for further mastering of the educational material. Thus, teachers faced the question of finding a solution to the identified problem in the development of regulative universal educational actions (RUEA) in high school students, in particular, during mathematics lessons in Grades 7–9. One of the tools can be blended learning, which is one of the key trends in modern education that forms a new pedagogical worldview. However, scientific papers that describe the theoretical and practical provisions for the RUEA development in high school students of Grades 7–9 in the context of using blended learning in mathematics, containing different points of view, are not enough to make a general decision. All this proves the existence of a problem: the combination of what methods, means, forms and methods in a mixed environment will ensure the RUEA development in high school students of Grades 7–9? The purpose of the article is to consider the didactic potential of blended learning in mathematics for the RUEA development in students of Grades 7–9. The methodology of the study is based on the theoretical principles of the development of information technologies and informatization of education; the main ideas of blended learning; system-activity approach; studies in the field of RUEA development; analysis of scientific publications and innovative experience on the designated problem. Research results. The didactic potential of blended learning for the RUEA development in students of Grades 7-9 is presented in the form of a map as a set of methods, tools, forms, techniques, formats of learning, depending on the model of blended learning. On the example of a topic in Algebra (Grade 9), the possibilities of “flipped learning” for the RUEA development in high school students are described. Conclusion. The methodology of the study made it possible to present the didactic potential of blended learning in mathematics for the RUEA development in students of Grades 7–9 in the form of a map focused on the main models of blended learning. The developed map can be adapted taking into account the specifics of the subject content of other disciplines and used to design the process of the RUEA development in students in the process of blended learning.

Network Attack Detection Method of the Cyber-Physical Power System Based on Ensemble Learning

With the rapid development of power grid informatization, the power system has evolved into a multi-dimensional heterogeneous complex system with high cyber-physical integration, denoting the Cyber-Physical Power System (CPPS). Network attack, in addition to faults, becomes an important factor restricting the stable operation of the power system. Under the influence of network attacks, to improve the operational stability of CPPSs, this paper proposes a CPPS network attack detection method based on ensemble learning. First, to solve the shortcomings of a low detection precision caused by insufficient network attack samples, a power data balancing processing method was proposed. Then, the LightGBM ensemble was constructed to detect network attack events and lock the fault points caused by the attack. At the same time, in the process of gradient boost, the focal loss was introduced to optimize the attention weight of the classifier to the misclassified samples, thus improving the network attack detection precision. Finally, we propose an effective evaluation method of the network attack detection model based on cyber-physical comprehensive consideration. In addition, the cyber-physical power system stability under the action of the network attack detection model is quantitatively analyzed. The experimental results show that the F1 score of network attack detection increases by 16.73%, and the precision increases by 15.67%.

Design and Application of Preschool Education System Based on Mobile Application

With the rapid development of information technology in recent years, the country’s information reform in the field of education is advancing gradually. As the first link in the chain of lifelong education, the development of early childhood education informatization has become an essential component of the national education informatization construction. In order to better realize the gamification of early childhood education courses and strengthen the management and deepening of course resources, this paper analyzes the significance of the application of children’s games in teaching and the significance of the application of new media resources in children’s course games by combining the actual situation of education and the teaching advantages of new media resources. The paper studies the application of early childhood education teaching and the research on the development of gamification in early childhood education courses. In light of the fact that emerging preschool education products on the market cannot fully meet the requirements of preschool education informatization construction at the level of function and technology, this paper proposes a preschool education system based on mobile applications as well as a child-appropriate recommendation algorithm based on a multiattention mechanism. Experiments conducted on public data sets demonstrate that our algorithm is considerably superior to the benchmark algorithm.

Differential Analysis of Teachers’ Technological Pedagogical Content Knowledge (TPACK) Abilities According to Teaching Stages and Educational Levels

The development of educational informatization imposes new requirements on the cultivation of teachers’ digital competence, which appeals to teachers who aim to optimize their teaching by integrating appropriate Information and Communication Technology (ICT). The requirement of digital competence corresponds to the meaning of Technological Pedagogical Content Knowledge (TPACK). Therefore, the development of teachers’ TPACK abilities can also positively influence the cultivation of their digital competence. The study was to examine the level of teachers’ TPACK abilities, and whether any difference in such abilities would be found according to the different teaching stages and teachers’ educational levels. An online questionnaire was distributed to the target teachers. Data of 1342 participants were analyzed. SPSS was used to conduct the descriptive statistics, and the non-parametric Kruskal–Wallis test with the post-hoc pairwise comparisons was used to determine teachers’ TPACK ability levels and explore the differences in teachers’ TPACK according to their different teaching stages and educational levels. The results indicated that teachers’ TPACK abilities were at a generally high level. Moreover, significant differences in teachers’ TPACK abilities were found in the teaching stages and educational levels. Teachers with different teaching stages have significant differences in Content Knowledge (CK), Pedagogical Knowledge (PK), Technological Pedagogical Knowledge (TPK), Technological Content Knowledge (TCK), and Technological Pedagogical Content Knowledge (TPACK). However, no difference was found between Technological Knowledge (TK) and Pedagogical Content Knowledge (PCK). In addition, the results suggested that the seven sub-dimensions of TPACK differed significantly according to teachers’ educational levels, where the higher the educational level, the better the teachers’ TPACK abilities. Therefore, teachers should effectively integrate technology and apply appropriate pedagogies according to the teaching content in different teaching stages. A planned and targeted series of ICT application training courses for teachers with lower educational levels would be helpful to improve their self-confidence in using technology to promote their teaching effectiveness.

English Writing Feedback Based on Online Automatic Evaluation in the Era of Big Data

Under the influence of the continuous development of modern information technology, the online automatic evaluation system for English writing teaching was born in response to demand. The rise of the online automatic assessment and correction system has broken through the limitations of the campus, making English writing teaching no longer restricted by time and space. Adapting to the needs of English writing development in the era of big data, making full use of modern information technology to improve writing effect, further promoting the development of educational informatization and the transformation of writing teaching, and realizing the mutual blending and innovative development of education and information technology have become the inevitable trend of future development. This paper applies the combination of teacher feedback and automatic feedback to the teaching of English writing in senior high school and discusses whether the combination of the two can change the disadvantages of the automatic writing evaluation system and solve the problem of traditional single teacher evaluation. In this paper, the text feedback system is introduced into the context information, and the context information is used to filter the difference between the active context and the active context, so as to further reduce the number of participants in collaborative filtering and improve the real-time computing efficiency of the algorithm. By distinguishing dynamic text quality indicators from stable text quality indicators, this paper proposes a similar context-aware neighborhood model. Based on experimental analysis, the accuracy of feedback results is 45.2% higher than that of the original online automatic evaluation system.

Deep learning in nuclear industry: A survey

As a high-tech strategic emerging comprehensive industry, the nuclear industry is committed to the research, production, and processing of nuclear fuel, as well as the development and utilization of nuclear energy Nowadays, the nuclear industry has made remarkable progress in the application fields of nuclear weapons, nuclear power, nuclear medical treatment, radiation processing, and so on. With the development of artificial intelligence and the proposal of "Industry 4.0", more and more artificial intelligence technologies are introduced into the nuclear industry chain to improve production efficiency, reduce operation cost, improve operation safety, and realize risk avoidance. Meanwhile, deep learning, as an important technology of artificial intelligence, has made amazing progress in theoretical and applied research in the nuclear industry, which vigorously promotes the development of informatization, digitization, and intelligence of the nuclear industry. In this paper, we first simply comb and analyze the intelligent demand scenarios in the whole industrial chain of the nuclear industry. Then, we discuss the data types involved in the nuclear industry chain. After that, we investigate the research status of deep learning in the application fields corresponding to different data types in the nuclear industry. Finally, we discuss the limitation and unique challenges of deep learning in the nuclear industry and the future direction of the intelligent nuclear industry.

Informatization Teaching Mode of Vision Sensor Digital Image and Fusion Association Rule Mining Algorithm

Informatization teaching mode emerged under the tide of informatization development. The way of information dissemination and the process of human cognition have undergone tremendous changes in the era of informatization. Based on the vision sensor digital image and the fusion association rule mining algorithm, this paper studies the informatization teaching mode, aiming to analyze the influence of the vision sensor digital image and the fusion association rule mining algorithm on the foreign language teaching and enhance development decisions. The structure of digital image is analyzed by using image acquisition and processing technology and data transmission, and the digital image correlation method is explored. The use of data mining algorithms to conduct statistics on data integration related teaching documents in the past five years provides a strong basis for the data of the research process. In addition, in order to conduct a more detailed and comprehensive research on the informatization teaching model, the research scope was narrowed and the survey method was adopted to understand and collect data from relevant personnel and finally put forward constructive opinions for the purpose of the existing problems. The findings of the study demonstrated that the application of digital images can greatly expand the teaching content and greatly improve the creativity, experience, inclusiveness, and interactivity of teaching applications. The most obvious one is the sense of experience. The measured index has increased by 5.4 points.

Application of virtual reality technology in campus landscape roaming

With the popularity of the metaverse concept, virtual reality technology is widely used in people's lives, and the emergence of this new technology also brings new development opportunities to environmental design. Using computer-aided design, 3D roaming and other methods to build a virtual three-dimensional space, people can get an interactive and immersive experience. This paper takes the Liufang campus of Wuhan University of Technology as a prototype, and builds a 3D virtual campus landscape roaming based on SketchUp and Unity3D engine. It allows the campus to adapt to the development of digital informatization, and at the same time, through the roaming scene, the experiencer can understand the school style more intuitively and quickly, and help the campus culture to be better displayed.