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

Authors: Ying Chen; Junkai Li
Journal: Security and Communication Networks
 (2022)

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## Abstract

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.


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## Body

## 1. Introduction

As an efficient tool, information technology supports language learning and teaching, promotes students' autonomous and collaborative learning, and exercises students' innovative thinking and practical ability [1]. This is what innovative talents need to be cultivated, and it is also the trend and tradition of basic education reform in the world today. Constructivism has always been the backbone of information technology scientific research [2]. From the perspective of construction, the information-based learning model is not only the introduction of technology into teaching, but also the reconstruction of the understanding process. The information learning environment is under the trend of information development. The positioning of information education is to adapt to this change, and use the powerful power of modern education technology under the development of information, to create a learning environment conducive to learning and learning, and to fully stimulate students' creativity, enthusiasm, and creativity. With the popularization of the Internet, people's demand for surfing the Internet has increased. The simple data processing methods used in the past can no longer fulfill the demand of data mining. With the rapid increase of data scale, the corresponding hardware requirements for data mining machines have increased exponentially, which undoubtedly increases the cost of mining. Driving serial devices has slowly evolved from the enterprise-level application level, and big data mining systems have become a new development trend, providing enterprises with better decision support [3]. Along with the accelerated evolution of computer software and Internet of Things technology, the amount of data generated in related applications is growing rapidly, and the content of data is becoming more and more comprehensive. With the association of corresponding data in various industries, more attention is paid to rule mining and analysis. At the same time, people hope to obtain valuable knowledge quickly. The research on mining association rules of data streams is becoming more and more important.The development of data mining caters to the trend of the Big Diagram Era, from the proposal of a new technology in a professional field to a mature method widely used in business model applications [4]. Due to the growth of data scale in various industries and fields, data abstraction types have become more complex. Data mining makes a significant difference in discovering the laws and value information hidden in huge-scale data [5]. It is a new subject involving multiple disciplines, and it continues to evolve with the development of these titles. Association rules are an important research branch of data mining. The objective of this study aims to discover hidden, interesting, and inherent rules from the characteristics of big data systems. Group rules are an important research area of data mining [6].Foreign countries have become more and more mature in the research on the development of digital vision sensors and teaching environment digital images and fusion association rules mining algorithms. In addition to the theoretical results, they have also done enough empirically. Islam A proposed a new robust solution to minimum restrictions of heritage wildlife systems. The solution utilizes a S/W sensor environment to guarantee the extensibility and dependability of the browser for handling dropped traffic. To accomplish the goal of preserving the delivered imagery in practical terms without compromising any information in terms of data, substance, or quality, an adequate proposal is crucial to be effective in dealing with variable activities such as the involvement and disengagement of signal junction during delivery [7]. Suárez et al. introduced a CMOS vision sensor chip using standard 0.18 μm CMOS technology for Gaussian pyramid extraction. Each PE includes four photodiodes, an 8-b single-slope analog-to-digital converter, a correlated double sampling circuit, and four-state capacitors and their corresponding switches to realize a double Euler SC network. Each PE occupies 44 × 44 μm2. The measurement results from the chip are shown to evaluate the accuracy of the generated Gaussian pyramid in visual tracking applications. The error level is less than 2% of the full-scale output, making this chip suitable for these applications [8]. Schmitz et al. proposed a new vision chip architecture based on pixel neighborhood-level parallel processing. In this architecture, the 8-b RISC processing core is embedded in an 8 × 8 digital pixel sensor array on the same focal plane. These neighborhood processors (NP) are tiled in a two-dimensional array to form the final imager resolution. They designed and implemented a compact, low-complexity NP architecture as well as a generic set of 8-b instructions. A prototype vision chip with an 8 × 10 NP array and a resolution of 64 × 80 has been designed and manufactured in a 0.13 μm 1P8M CMOS manufacturing process. The system is reprogrammable and can perform a wide range of image and video processing tasks [9]. Hanca et al. introduced a new end-to-end video compression and transmission system for this type of sensor network. In the proposed framework, high-performance video coding technology is adopted while keeping the complexity of the encoder to a minimum. The generated bit stream uses forward error correction code and rank bit interleaver to prevent wireless network errors. Experimental results show that the performance of the proposed codec is close to H.264/AVC, accounting for only a small part of its encoding time, and it provides robustness against transmission errors under various network conditions [10]. Marchand et al. showed that Augmented Reality (AR) allows seamless insertion of virtual objects in image sequences. In order to achieve this goal, it is important to render and align the composite elements in the scene in an accurate and visually acceptable way. The solution to this problem may be related to attitude estimation or the equivalent camera positioning process. A link to a short sample code is provided. This should allow readers to easily bridge the gap between theoretical aspects and actual implementation [11]. In the multi-sensor target recognition problem involving multiple frames, Güder and Çiçekli proposed a multi-frame decision fusion (abbreviated as RMDF) method based on rule mining, in which the unknown can be found from a series of historical sensor reports within the framework of the belief function relation. In order to adapt to the uncertainty of the data, new evidence support and confidence measures are defined for the constructed multi-frame evidence database. They are the generalization of the support and confidence measures in the binary and probabilistic databases [12]. Denoeux et al. compared the values of certain attributes and modeled the Dempster–Shafer quality function defined in the framework of all possible relationships. These quality functions are combined using Dempster's rule, and the relationship with the maximum likelihood is found by solving integer linear programming problems. This problem is proved to be equivalent to the linear assignment problem and can be solved in polynomial time using, for example, the Hungarian algorithm. The method is demonstrated using simulated data and real data. The 3D extension of this problem (with three object sets) was also formalized and proved to be NP-Hard [13]. However, after carefully studying these cases, their studies have the same shortcomings, such as insufficient samples, and despite the diversification of experimental methods, the source of experimental data is unknown.Through fusing visual sensor digital images with association rule mining algorithms, this paper investigates a computer-based instructional model. With a case study approach to data integration and teaching-related literature over the years, 200 foreign language teachers were randomly selected for the survey. Firstly, the visual sensor and digital image model are constructed to analyze the impact of the digital image of the visual sensor on the teaching content, and the digital image spectrum is applied to a certain extent in the data processing process. It is processed through the fusion of matrix differentiation value and teaching information. Then a model is built for the joint rule data mining algorithm for the research purpose.


## 2. Digital Image and Data Mining Algorithm

### 2.1. Visual Sensor Informatization Teaching Mode

Information education is based on information technology research [14]. The most important thing is that teachers use information technology to build an information-based learning environment for students and provide information-based learning resources. The student explores as a matter of fact the use of digital media as a reporting tool, to research and to solve problems in training activities [15]. Going deeper involves the concepts that teachers and learners uphold when using technology, including a series of implicit teaching and learning abilities that are necessary for the information age, such as teaching, learning, technology application, and evaluation. The main purpose of the research on the contemporary information-based education is to be able to improve and perfect the instructional procedure. The education system is the comprehensive procedure and in-depth utilization of boosting to reform and innovation of course by means of contemporary technology in agriculture and industry, and the informatization education plan is a new form of the result of the informatization curriculum education. With the ongoing furthering and evolution of the dissemination system of the programs, information-based learning will become more and more in-depth in terms of educational strategies and courses. Modern education technology, as a field combining informatics and evaluation, has turned to “the focus of current education and education reform” as multimedia techniques, web communicative skills, web of things, Internet of materials, cloud coding, and great figures are growing by speed. New information-based learning templates will also continue to emerge, and many rich new teaching templates have been developed. Learning informatization is a comprehensive process. The in-depth usage of contemporary computer skills in the curriculum field promotes curriculum reform and curriculum development. Informatization courses are curriculum information. As a result is a new form of educational technology learning law [16]. Models will continue to emerge, launching a rich set of new teaching models. The main goal of information-based learning context research is to improve the learning process, which are two independent research fields of scientific modeling and information state [16].Vision sensor is an important visual imaging system with imaging processing and data transmission capabilities and has become an important observation method for intelligent enterprise robots [17]. Nowadays, sensors have been further developed. Based on the original “perception” function, combined with computer technology, it integrates data storage, data processing, data communication, and other functions, so that it has analysis functions and can better display information. The technical level has reached a new level. Sensors can be combined with many technologies to form smart sensors. Vision measurement technology has developed into a new type of industrial testing technology, and its application scope is also expanding. The sensor network is more convenient, the communication of each measuring node is more independent and will not affect each other, the error handling mechanism of the communication protocol is more complete, and the communication reliability is stronger. Multiple intelligent digital vision sensors cooperate with the measurement computer to form a digital distributed measurement system, which has better real-time performance and stability and improved measurement efficiency and measurement accuracy. Information is changing all the time. As a technology, its essence is to serve humans. If a person intends to utilize fully utilization of application of information technology in the servitude of mankind, they must update their teaching concepts at any time. As an educator, it is more important to keep abreast of the frontier developments of relevant developments to update teaching methods at any time. Informatization has had a significant impact on our lives and work. Combining information technology with subject teaching, constructing an innovative teaching structure, and prompting changes in educational concepts and teaching methods from the root are the trend of the development of quality education at this stage [18].


### 2.2. Digital Image Algorithm

Digital images are the most important thing in teaching, and the amount of information is large and exciting. They can not only add, summarize, and disseminate knowledge, but also expand the content, expand the scope, promote readers' understanding, endow them with uniqueness and power, and have unparalleled value knowledge, which is an irreplaceable advantage of plain text content [19]. Along with the advancement of contemporary medium technique and its widespread utilization in the school district, this situation has caused changes and updates in the way people read pictures, and the virtual reality of modern society has made digital images more widely spread. There is a lack of understanding of educational significance, and more of it stays in the entertainment nature of digital images. The cognitive advantages of digital images need to be developed more, and the audience's image reading literacy needs to be cultivated. It is very essential to research the capability of numerical graphics and the factors that affect the validity of digitized image. Digital imaging is a method of measuring sound distortion in the frequency range. When the time or image moves, there will be corresponding electrical frequency changes in the frequency range. The construction of this model is shown in Figure 1. The fundamentals of numerical archiving algorithm to measure object distortion are to calculate the corresponding electrical frequency changes after image interpretation through mathematical methods, so as to determine the value of the image [20]. The amplitude of the rotation can be obtained directly through the Fourier switch again. That is to say, this link does not rely on the hydraulic oil that appears in the intermediate process to determine the flow rate, eliminating the error caused by the traditional photometric method to measure the flatness and the number of stripes, and even the very short intermediate step for testing and calculation.Figure 1
Vision sensor and digital image.As the basis for the actual use of optical triangulation, different imaging sensors are selected to continuously improve its measurement [21]. It develops better and faster programs and efficient algorithms to enhance the system capability and meet the requirements of measurement speed. While advancing sensor technology, system utilization architecture is being developed to improve the stability of the measurement system, and new measurement techniques have been developed to capture more accurate three-dimensional peripheral information [22]. Analyze the practical characteristics of the utilization of digital image skill in information teaching, use the mean square error to design the image pixels, and the formula is expressed as(1)fx,y=1a∗b∑i=1ofm,n−fx−ya,b2,m,n=1fx,y∗sin2i+18x−y.Use the two-dimensional discrete method to transform the above formula into(2)Hx,y=13fx,y∑m=1gm,ncos2i+18.The differentiated value design of the matrix is(3)α=x,y2x1,x2,x3,…xi+1ν1o…000…ν1.The most widely used application of this matrix is the mapping expressed as(4)xm+1˙=ηyi+11−m,yn,xn+1=ηmxi1−xiym+1=ηmyi1−yi−1.The iteration time is determined byηm. The relationship between time and image information is(5)σ=∑i=020−1fi•log21fi,fi=1m∗n∑i=1m∑j=1nβi,j.The analysis of image recognition isβ including chaotic pixels:(6)Hg=1i2∑i=11x−ax+bya−b2,sinλa,b=1−sin2a,b.(a, b) are the discrete points of the high-dimensional image.


### 2.3. Fusion Association Rule Mining Algorithm

As information security develops as well as the innovation of Internet sites, big data research has become a hot topic [23]. Group rules take on a highly visible presence in finding the relevance of data and are a vital study method for online database exploration. Under the conventional database mining technology, the grouping rules hidden behind the data cannot be correctly mined, and because the traditional data mining technology cannot predict the future development trend, it leads to the phenomenon of “massive data” but being unable to conduct effective search. The birth of artificial intelligence has provided many more effective new technologies for data mining. Great progress has been made in data mining, which has eased the phenomenon of “massive data” to a certain extent. At present, data mining has important use value in many aspects. By describing the existing data, the future pattern of the data can be effectively predicted. Data mining technology has become a promising and popular research direction in the world today. A typical data mining model is shown in Figure 2. Association rules must not only deal with elements of numeric type, but also deal with elements of Boolean type. The associated rules can be single rules or multi-level rules, subject to the corresponding rules. There are different data discovery methods and operational processes corresponding to different rules. The discovery of association rules can be performed on single-level data sources. The data source can also be mined and analyzed for multi-level data sources [24]. In the implementation stage of data mining algorithm, we should first determine the mining tasks to be carried out based on the proposed problems, such as association rule mining, classification, and clustering. After determining the mining tasks, we need to choose which algorithm to use. Two factors must be considered for the algorithm to be selected: one is according to the features of various numbers. Users need to use the corresponding algorithm for mining. Secondly, in accordance with practical requirements of the installed environment, for example, some users want to obtain descriptive and understandable knowledge, while others want to obtain high-precision prediction model knowledge and do not care whether the obtained knowledge is easy to understand [25].Figure 2
Data mining model.For the research on the fusion association rules of data mining, Markov logic network explained this in detail. According to the definition of Markov logic network, the expression of probability distribution is as follows:(7)RX=x=1c∫⊗ℑiximi.The joint probability is(8)RX=x=1ciexp∑iuitix,RX=x=1cexp∑iuitixϕixiaix.ui is the weight learning, and aix is the likelihood function of the probability. The update of the weight of the likelihood function is expressed as(9)Qt+1=Qt−δtβtβu,Qui,ti=∑i∈XU1∪T1∑u,ti+1⊗tu.u and t, respectively, represent the accuracy and recovery rate under stochastic gradient. Such algorithm proportionally expands the accuracy and recovery rates:(10)Au,t=∑j=1mgjk±hk,alu,lt=∑i=1l=0eutfil↑li.In the process of data input, each node generates a candidate set based on the data block, namely,lu,lt.The speedup of this process is calculated as(11)S=2i∗duti∗d+2α∗ts/tϖ.A random sample of data (p, q) is defined as(12)Rp,q=|i/l,pi+qi+1≤l/2,0,other.(13)l2=minLfp,q−fp′,q′·2.Equation (13) is the calculation of the minimum error between the original data and the accelerated data.


## 2.1. Visual Sensor Informatization Teaching Mode

Information education is based on information technology research [14]. The most important thing is that teachers use information technology to build an information-based learning environment for students and provide information-based learning resources. The student explores as a matter of fact the use of digital media as a reporting tool, to research and to solve problems in training activities [15]. Going deeper involves the concepts that teachers and learners uphold when using technology, including a series of implicit teaching and learning abilities that are necessary for the information age, such as teaching, learning, technology application, and evaluation. The main purpose of the research on the contemporary information-based education is to be able to improve and perfect the instructional procedure. The education system is the comprehensive procedure and in-depth utilization of boosting to reform and innovation of course by means of contemporary technology in agriculture and industry, and the informatization education plan is a new form of the result of the informatization curriculum education. With the ongoing furthering and evolution of the dissemination system of the programs, information-based learning will become more and more in-depth in terms of educational strategies and courses. Modern education technology, as a field combining informatics and evaluation, has turned to “the focus of current education and education reform” as multimedia techniques, web communicative skills, web of things, Internet of materials, cloud coding, and great figures are growing by speed. New information-based learning templates will also continue to emerge, and many rich new teaching templates have been developed. Learning informatization is a comprehensive process. The in-depth usage of contemporary computer skills in the curriculum field promotes curriculum reform and curriculum development. Informatization courses are curriculum information. As a result is a new form of educational technology learning law [16]. Models will continue to emerge, launching a rich set of new teaching models. The main goal of information-based learning context research is to improve the learning process, which are two independent research fields of scientific modeling and information state [16].Vision sensor is an important visual imaging system with imaging processing and data transmission capabilities and has become an important observation method for intelligent enterprise robots [17]. Nowadays, sensors have been further developed. Based on the original “perception” function, combined with computer technology, it integrates data storage, data processing, data communication, and other functions, so that it has analysis functions and can better display information. The technical level has reached a new level. Sensors can be combined with many technologies to form smart sensors. Vision measurement technology has developed into a new type of industrial testing technology, and its application scope is also expanding. The sensor network is more convenient, the communication of each measuring node is more independent and will not affect each other, the error handling mechanism of the communication protocol is more complete, and the communication reliability is stronger. Multiple intelligent digital vision sensors cooperate with the measurement computer to form a digital distributed measurement system, which has better real-time performance and stability and improved measurement efficiency and measurement accuracy. Information is changing all the time. As a technology, its essence is to serve humans. If a person intends to utilize fully utilization of application of information technology in the servitude of mankind, they must update their teaching concepts at any time. As an educator, it is more important to keep abreast of the frontier developments of relevant developments to update teaching methods at any time. Informatization has had a significant impact on our lives and work. Combining information technology with subject teaching, constructing an innovative teaching structure, and prompting changes in educational concepts and teaching methods from the root are the trend of the development of quality education at this stage [18].


## 2.2. Digital Image Algorithm

Digital images are the most important thing in teaching, and the amount of information is large and exciting. They can not only add, summarize, and disseminate knowledge, but also expand the content, expand the scope, promote readers' understanding, endow them with uniqueness and power, and have unparalleled value knowledge, which is an irreplaceable advantage of plain text content [19]. Along with the advancement of contemporary medium technique and its widespread utilization in the school district, this situation has caused changes and updates in the way people read pictures, and the virtual reality of modern society has made digital images more widely spread. There is a lack of understanding of educational significance, and more of it stays in the entertainment nature of digital images. The cognitive advantages of digital images need to be developed more, and the audience's image reading literacy needs to be cultivated. It is very essential to research the capability of numerical graphics and the factors that affect the validity of digitized image. Digital imaging is a method of measuring sound distortion in the frequency range. When the time or image moves, there will be corresponding electrical frequency changes in the frequency range. The construction of this model is shown in Figure 1. The fundamentals of numerical archiving algorithm to measure object distortion are to calculate the corresponding electrical frequency changes after image interpretation through mathematical methods, so as to determine the value of the image [20]. The amplitude of the rotation can be obtained directly through the Fourier switch again. That is to say, this link does not rely on the hydraulic oil that appears in the intermediate process to determine the flow rate, eliminating the error caused by the traditional photometric method to measure the flatness and the number of stripes, and even the very short intermediate step for testing and calculation.Figure 1
Vision sensor and digital image.As the basis for the actual use of optical triangulation, different imaging sensors are selected to continuously improve its measurement [21]. It develops better and faster programs and efficient algorithms to enhance the system capability and meet the requirements of measurement speed. While advancing sensor technology, system utilization architecture is being developed to improve the stability of the measurement system, and new measurement techniques have been developed to capture more accurate three-dimensional peripheral information [22]. Analyze the practical characteristics of the utilization of digital image skill in information teaching, use the mean square error to design the image pixels, and the formula is expressed as(1)fx,y=1a∗b∑i=1ofm,n−fx−ya,b2,m,n=1fx,y∗sin2i+18x−y.Use the two-dimensional discrete method to transform the above formula into(2)Hx,y=13fx,y∑m=1gm,ncos2i+18.The differentiated value design of the matrix is(3)α=x,y2x1,x2,x3,…xi+1ν1o…000…ν1.The most widely used application of this matrix is the mapping expressed as(4)xm+1˙=ηyi+11−m,yn,xn+1=ηmxi1−xiym+1=ηmyi1−yi−1.The iteration time is determined byηm. The relationship between time and image information is(5)σ=∑i=020−1fi•log21fi,fi=1m∗n∑i=1m∑j=1nβi,j.The analysis of image recognition isβ including chaotic pixels:(6)Hg=1i2∑i=11x−ax+bya−b2,sinλa,b=1−sin2a,b.(a, b) are the discrete points of the high-dimensional image.


## 2.3. Fusion Association Rule Mining Algorithm

As information security develops as well as the innovation of Internet sites, big data research has become a hot topic [23]. Group rules take on a highly visible presence in finding the relevance of data and are a vital study method for online database exploration. Under the conventional database mining technology, the grouping rules hidden behind the data cannot be correctly mined, and because the traditional data mining technology cannot predict the future development trend, it leads to the phenomenon of “massive data” but being unable to conduct effective search. The birth of artificial intelligence has provided many more effective new technologies for data mining. Great progress has been made in data mining, which has eased the phenomenon of “massive data” to a certain extent. At present, data mining has important use value in many aspects. By describing the existing data, the future pattern of the data can be effectively predicted. Data mining technology has become a promising and popular research direction in the world today. A typical data mining model is shown in Figure 2. Association rules must not only deal with elements of numeric type, but also deal with elements of Boolean type. The associated rules can be single rules or multi-level rules, subject to the corresponding rules. There are different data discovery methods and operational processes corresponding to different rules. The discovery of association rules can be performed on single-level data sources. The data source can also be mined and analyzed for multi-level data sources [24]. In the implementation stage of data mining algorithm, we should first determine the mining tasks to be carried out based on the proposed problems, such as association rule mining, classification, and clustering. After determining the mining tasks, we need to choose which algorithm to use. Two factors must be considered for the algorithm to be selected: one is according to the features of various numbers. Users need to use the corresponding algorithm for mining. Secondly, in accordance with practical requirements of the installed environment, for example, some users want to obtain descriptive and understandable knowledge, while others want to obtain high-precision prediction model knowledge and do not care whether the obtained knowledge is easy to understand [25].Figure 2
Data mining model.For the research on the fusion association rules of data mining, Markov logic network explained this in detail. According to the definition of Markov logic network, the expression of probability distribution is as follows:(7)RX=x=1c∫⊗ℑiximi.The joint probability is(8)RX=x=1ciexp∑iuitix,RX=x=1cexp∑iuitixϕixiaix.ui is the weight learning, and aix is the likelihood function of the probability. The update of the weight of the likelihood function is expressed as(9)Qt+1=Qt−δtβtβu,Qui,ti=∑i∈XU1∪T1∑u,ti+1⊗tu.u and t, respectively, represent the accuracy and recovery rate under stochastic gradient. Such algorithm proportionally expands the accuracy and recovery rates:(10)Au,t=∑j=1mgjk±hk,alu,lt=∑i=1l=0eutfil↑li.In the process of data input, each node generates a candidate set based on the data block, namely,lu,lt.The speedup of this process is calculated as(11)S=2i∗duti∗d+2α∗ts/tϖ.A random sample of data (p, q) is defined as(12)Rp,q=|i/l,pi+qi+1≤l/2,0,other.(13)l2=minLfp,q−fp′,q′·2.Equation (13) is the calculation of the minimum error between the original data and the accelerated data.


## 3. Experiment Arrangement and Data Analysis

Linked rules analysis of data came from our university's Academic Affairs Office database, which was mainly based on four-year student performance data of foreign language majors in 2018, while the mastery of information technology of 200 teachers has been surveyed. Due to the large amount of data obtained from the database of the Office of Academic Affairs, there are also many attributes. In order to avoid redundant data in the data set that may affect the results, data preprocessing is required before data analysis. As mentioned earlier, data preprocessing is a work that must be done before data mining, and it plays an important role in the accuracy of data mining results.(1)
Use the stochastic gradient descent way to learn specification in the Markov logic network pattern of the association rules.(2)
Analyze the development of informatization teaching from the perspectives of teachers, schools, and society.(3)
Case analysis proposes measures for the current problems in information teaching.(4)
Data preparation. In the data preparation stage, after preliminary data preprocessing, the processed data can be imported into the data processing platform for data analysis. However, you need to pay attention to the default data storage format of the data processing platform.(5)
Data discretization processing. Since association rule mining can only analyze and process discrete data, the data attributes used in this study need to be discretized. Data discretization is usually called equal distance discretization and equal frequency discretization. Equal-distance discretization is to divide continuous variables into equidistant and uniform parts of the value range; equal-frequency discretization is to divide the attributes into uniform intervals from the distribution point of the entire instance, so that each number of instances distributed in the interval is the same.(6)
Data mining. Analyze the association rules on the data mining platform, and use the “Foreign Language Achievements” dataset for mining. Association rules can only process discrete data, which has been completed in the previous step. Generally speaking, the number of continuous data attribute values is large, and data discretization can adopt the method of partitioning attribute values to achieve the acquisition of high-level knowledge and concepts. After the data is discretized, switch the Weka Preprocess interface to the association rule mining associate, click the choose button, and select the appropriate algorithm. In general, the default algorithm for association rule mining is thea priori algorithm.The popularization of the Internet at home and abroad is also a matter of recent decades, but the theoretical connotation of informatization teaching and the educational goals pursued can be traced back to the Renaissance in the West. And it can be traced back to the Spring and Autumn Period more than 2,000 years ago. In wartime, this means that the educational plans and educational effects that Chinese and foreign educators pursued in ancient and modern times can now be better interpreted and realized with the help of information technology. Informatization teaching has vivid and colorful characteristics in both the form and presentation of teaching, which can stimulate the interest of learners. This integration mode is shown in Figure3. The main object of information-based teaching research is teaching, which is organized of four elements: academic staff, students, teaching content, and information media methods. It generally means the usage of IT in teaching to complete better teaching. In informatization teaching, many aspects need to be transformed into information, such as teaching theoretical concepts, methods, content, mode, evaluation, and teaching environment. Informatization index is only equivalent to 2% of that of the United States. The reason is that the infrastructure is not advanced enough, the terminals such as computers have not been popularized, the network resources are not rich enough, and the informatization ability of teachers and students is insufficient. Nowadays, the state placed a strong priority on building of vocational education, including the construction of an informatized environment on campus. Many vocational schools have built an informatized teaching environment, but this does not mean the successful use of informatized teaching, even if the equipment is advanced, if the classroom is equipped with equipment. Teaching is kidnapped by software, then no matter how high-end equipment is only “informatized” in form, that is to say, whether information-based teaching can be successfully carried out, the premise is to have advanced teaching concepts and methods.Figure 3
Data fusion association rules.To study and evaluate the evolution of visual media based on digital media creation systems and to develop forms of visual image generation, we designed the role and development of visual image extraction algorithms and rules for compliance with information training tasks. Dissemination of information digitally is the main means of information dissemination in today's society, and visual diffusion is the most important means of information dissemination. Information technology of digital nature is creative, practical, tolerant, and interactive. Compared with traditional social media, it provides a large amount of visual information, provides more personalized services for everyone, and enhances the space for everyone to participate in information interaction, etc., as shown in Figure4.Figure 4
The impact of digital imaging applications.Through the comparison of the data in Figure4, it is found 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, and the measured index has increased 5.4 points. Teachers’ informatization teaching design is not limited by teachers’ technology. There are specialized technology companies as technical support, and the resources in the network are very rich. The competent education department is responsible for sorting out various resources and loading them into the education website. The number of various types of documents in the past five years is shown in Table 1.Table 1
The number of documents of various types that have been integrated in the past five years.
Type yearsTheoretical researchTechnology applicationIntegration strategyIntegrated teaching modelIntegrated teacherIntegrated student20164245122017303221201812123320192231422020515213One of the most used literatures in data integration in the last five years is the content that integrates strategies, which to some extent has strong implications for the integration of instructional information. While the dependence on technology and the dominant trend of digital media as the digital age does not mean the demise of traditional media, it should absorb and learn from the strengths of traditional forms. So the creation of visual images should be supported by technology, not purely enchanted with it, to truly integrate art and technology. The way of combining digital images and teaching is shown in Figure5.Figure 5
Informatization teaching mode.The biggest difference between the teaching mode of information technology participation and traditional education is that information technology adopts advanced technology to improve education content and teaching methods.In an effort to investigate the present situation of the evolution of computerized instruction, we cooperated with a survey by sampling computerized foreign language instructors at a particular university at random, and the results are recorded in Table2.Table 2
Result of an online questionnaire survey on 200 foreign language teachers.
Teaching modeThe proportion (%)Traditional teaching mode20Informatization teaching mode35Combination of tradition and information teaching mode40Other (please specify)5The results of a random questionnaire show that the main teaching methods adopted by these 200 foreign language teachers are the combination of traditional and information-based teaching. There are also a large number of teachers using information-based teaching, and 20% of the teachers are still in the conventional instructional format. This has to be compared between conventional and computerized education patterns. The first is to make statistics on the differences between the information-based teaching and traditional teaching around the three characteristics of technology, initiative, and openness, as shown in Figure6.Figure 6
Comparison of information-based teaching mode and traditional instructional patterns.From Figure 6, compared with the traditional teaching mode, informatization teaching has great advantages in three aspects: technology, initiative, and openness. This has also become the main influence of the current strong support and development of informatization teaching factors. There is the analysis of their attitudes towards informatization teaching from the perspectives of students, teachers, parents, schools, and society (1–10), as shown in Figure7.Figure 7
Attitudes of different subjects towards informatization teaching.On the whole, any subject has different attitudes towards informatization teaching. Some people support and approve it, while some strongly oppose it. From a specific analysis of a single attitude, the school is in a position that highly recognizes informatization teaching mode; parents also support teachers in adopting informatization teaching as a whole, although some people do not comment on traditional teaching and informatization teaching; for students, they are extremely opposed to this behavior. The reason for this is worthy of further exploration. The 200 teachers were asked about the source of information teaching resources, as shown in Table3.Table 3
Methods of obtaining information-based teaching resources.
Method of obtainingPercentage (%)Material CD10Education website15Campus network resources10Search engine35Teacher sharing5Producing their own25According to the single data in the table, the teacher adopts the mode of informatization teaching, and the acquisition of teaching resources is mainly obtained through search engines and self-made. This data will also allow us to reflect on the shortcomings of current informatization teaching. Classroom is another indicator for evaluating teaching. Therefore, according to the teaching method, teaching level, teaching effect, student learning, and overall adaptability, examine the impact of conventional pedagogical patterns and informatization teaching on the classroom, as shown in Figure8.Figure 8
Classroom under different teaching modes.In general, the information-based teaching model has great advantages. Under the informationized teaching mode, both the students and the teachers have strong overall adaptability, the teaching methods are livelier and more interesting, and the teaching level of teachers has also been improved, which can bring good teaching results and greatly help students' learning. In this regard, it analyzes how the traditional teaching mode and information teaching are carried out, as shown in Figure9.Figure 9
Comparison of differences in unfolding teaching.According to these 200 foreign language teachers, when adopting information-based teaching, they mainly use explanations to guide students and achieve a balance of lectures, considering the learning requirements of students. Through the evaluation, it is found that the current informatization teaching has the following problems, as shown in Table4.Table 4
Problems in informatization teaching.
Examples of questionsAverage scoreLow student information literacy3.27 ± 0.23Low self-learning ability4.91 ± 0.12Teachers' information application technology ability needs to be strengthened3.11 ± 0.71Insufficient innovation of informatization teaching mode4.13 ± 0.29Incomplete teaching methods and teaching content4.01 ± 0.88Teaching resources and teaching facilities cannot meet the needs of development3.21 ± 0.93Poor levels of computer literacy among both faculty and children and teachers' information processing ability is also insufficient, which leads to the imperfect and incomplete development of this teaching model. By carrying out information-based teaching, we can innovate the conventional classroom education pattern, change the traditional school education pattern, integrate the modern curriculum concept into the curriculum, rely on information technology to assist teaching, inject vivid graphic information into the classroom, stimulate students' interest in learning from a new perspective, and put forward the development measures of information-based teaching mode according to the data. Among them, the most concerned should be strengthening publicity, strengthening training, inclusiveness, integration of resources, and innovation, as shown in Figure10.Figure 10
Development measures of informatization teaching mode.According to the above data, innovating learning models, one is to strengthen publishing and curriculum settings to improve students' information literacy level: improve students' information literacy; learn student independence; improve students' technical ability. The second is to strengthen training and improve the level of teacher informatization: strengthening teacher informatization training; emphasis on IT preparation and practice for faculty. Upgrading IT adoption requires skills. The third is to be professional, which is contrary to the foreign language teaching position and method advocated by the reformers: change the traditional foreign language teaching position; continuously improve your foreign language skills. The fourth is to integrate resources to further improve the content of foreign language information learning: gather high-quality information sources and combine practice; improve the structure of foreign language information learning content. The fifth is to formulate strategies to improve the foreign language learning environment: strengthen students’ understanding of foreign language information learning; improve the construction and upgrade of foreign language information software and application sources; improve the quality of foreign language information training.Information technology is an unprecedented revolution in education. New teaching ideas and methods come into being with the development of information technology, which also brings a series of changes and updates. Technology provides a better platform for teaching, education is the foundation of a country's development, and higher education is the strategic commanding point of China's education, the construction of first-class universities cannot be separated from the development of information technology, and the development of teachers adapted to the development of information technology is to realize the connotative development of higher education, the construction of double first-class universities. With the advent of information technology revolution, teachers are required to improve their information literacy. If you do not understand information technology, you cannot fully adapt to the new era. How to apply technology to teaching has become a challenge for teachers, but in the information age, this ability has become the core ability of teachers and has become an important indicator of the new era to determine the quality of teachers; therefore, the research on the information teaching ability of university teachers is an important issue at present. Today is an era of rapid development of information, especially in recent years, micro class, MOOC, flipped classroom, electronic bag, and other developments, so that information technology has become a means to optimize teaching. Teachers are trying to mechanically apply the traditional face-to-face education to the network environment, but there are misunderstandings in teaching practice and ideas. Teachers should be guided to break through the restriction of information technology tool theory and realize the practical innovation of teaching methods and paradigms under the information environment.


## 4. Discussion

At present, network compression of the image information transmitted in the sensor network to reduce the amount of network information transmission is a hot topic in the current wireless sensor network research. This article takes advantage of the redundancy and temporal and spatial correlation of this key technology to effectively solve the problem. The content of image information is used in current information teaching. In addition, the information-based learning method is a way for students to conduct independent exploration and learning with the help of information-based methods and resources compared to traditional learning methods. Even if the hardware and software have met the requirements, the teacher's teaching design model is the foundation, and the teacher is the implementer of information learning. The knowledge level and teaching skills of practitioners determine whether information-based learning can be done. In the structure of informatization faculty, students are no more the authority that cannot be challenged from above, and students are no longer pure passive recipients of learning and knowledge, but form a state of “teaching and integration.” In addition to the combination of data fusion, data mining, and other technologies, the experiment also conducts in-depth research on the informatization teaching model itself and finally obtains experimental results.


## 5. Conclusion

Students cannot learn without the language environment. Sitting in the classroom listening to the teacher's language description or looking at pictures is far less effective than personal experience. The characteristics of visualization, refinement, and instant understanding make students more curious and learning not boring. Under the guidance of virtual simulation tech, students can have an immersive feeling in various senses. According to the connectionist theory, this stimulation can greatly enhance the establishment of learners' connection, which is the meaning of the application and teaching of visual sensor digital image. Information means help inquiry learning to be carried out in a cooperative way. With the advancement of IT and the times, this education pattern in which teachers use modern teaching ideas and information technology teaching means to complete teaching tasks has increasingly a novel pedagogical pattern in the area of instruction. Promoting the combination of teaching and network information resources and realizing the two-way integration of online and offline information teaching can respond adequately the advantages of current information shill in the development of current information teaching. For now, more and more people have realized the importance of computer-aided teaching for talent training. To conclude, the informatization teaching mode of vision sensor digital image and the fusion association rule mining algorithm are undoubtedly essential for students to master language skills, promoting students to explore ideas to solve problems independently, increasing the study possibilities of students, expanding students' vision, improving students' learning passion, developing students' linguistic skills, and fostering students' comprehensive literacy ability.



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