# Cloud Application in the Construction of English Virtual Teaching Resources Based on Digital Three-Dimensional Technology

Authors: Si Zhang; Shan Gu; Haiying Liu
Journal: Wireless Communications and Mobile Computing
 (2022)

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## Abstract

In order to improve the sharing effect of English teaching resources, based on digital three-dimensional technology, this paper constructs a cloud application in English virtual teaching resource database system based on digital three-dimensional technology. Moreover, this paper uses signal recognition technology to digitally process English teaching resources and establish a dynamic and changeable three-tier indicator system. In addition, this paper collects and summarizes the state data generated in the teaching operation of various departments of teaching management in real time and conducts scientific analysis and processing on it according to the management objectives to obtain valuable data information. Finally, this paper digitally processes English teaching resources into system-recognizable text to realize platform resource sharing.


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## Body

## 1. Introduction

English teaching management is an important part of college management, and the efficiency of English teaching management largely depends on the use of the management system. With the rapid development of computer technology and the deepening of college English teaching reform, continuing to use traditional educational management methods has long been unable to meet the new development needs [1]. As a result, mastering advanced management ideas and using them to better educational administration and scientific knowledge of management operations is required. It is necessary to build an appropriate English teaching service system and construct a college English teaching service information platform [2] for the particular operation, which encompasses all areas of educational administration management. The organization and distribution of English teaching information resources may be completed appropriately via the collection, analysis, storage, processing, transmission, and feedback of English teaching service information, and the management level and management efficiency can be enhanced. Many schools and universities now have a pretty full information infrastructure that has been embraced by management and users. Furthermore, since campus network information is becoming increasingly plentiful, using computers to handle aided English teaching services may considerably enhance efficiency when compared to human administration [3]. It offers the benefits of a quick search response, a simple search technique, a secure and dependable system, a huge store capacity, and strong secrecy. These benefits ensure that educational affairs are of higher quality and efficiency, and they are also necessary for accomplishing scientific educational affairs, standardizing educational affairs, and informatizing educational affairs.The database system provides basic data service functions. Therefore, the core of the educational administration management system is the redevelopment and application of the database application system. As one of the rapidly developing computer science and technology, database technology includes many aspects. The correct application of the database system, improving its responsiveness, improving service quality, answering database service problems, and database security issues are all important applied research directions. Since there will be a large number of accesses in the database application system, in order to save system resources and ensure system security, reasonable and effective database system access will be very important. Stored procedure is a kind of database object, and as a dynamic data management interface provided to users in the database system, it is one of the important issues in the study of database application systems. Moreover, it is a process in which SQL statements and control statements are compiled and encapsulated together. The faster running speed of the stored procedure can reduce network traffic and provide higher security performance for the system. Therefore, the usage performance of the entire database system can be effectively improved through the flexible use of stored procedures, so that the reliability and security of the system can be enhanced. It has far-reaching significance and practical application value to develop database applications with reasonable storage procedures and design databases to make them safer and more efficient.At present, universities all over the world have basically established their own online English teaching system. Among them, represented by American universities, all universities provide online courses. The construction of online English teaching in Chinese universities began at the beginning of this century. At present, most universities have built their own online English teaching system. As an important part of the online English teaching system, online English teaching resources have always been a key construction part. Video English teaching can integrate and play various material resources such as courseware, test questions, literature, and media. Therefore, it has the advantages of having large amount of information, intuitive and vivid, easy to understand, etc., and it has always been the most accepted form of English teaching resources by students.Based on the above analysis, based on digital three-dimensional technology, this paper conducts research on English virtual teaching resources and constructs a corresponding database system to improve the effect of college English teaching.


## 2. Related Work

The literature [4] developed and realized a large-scale educational technology-shared teaching resource library. The system integrates technologies such as sensors, Internet of Things, and distributed management systems to realize the sharing of educational technology-shared teaching resource libraries and can release related teaching resource library resources to better manage the teaching resource library. A set of integrated educational technology sharing teaching resource libraries was established and implemented based on the literature [5]. The system can assess teaching material using sophisticated real-time transmission technology, realize teaching content using a video teaching resource library, and enhance shared teaching content sharing. The literature [6] uses WebEDI electronic data interchange technology (based on Internet technology) to actualize the paperless processing, entry, settlement, and tracking of its educational technology database resources, as well as the transfer of information across teaching management resources. Furthermore, it made extensive use of data sharing between the database management system and the educational administration management system to increase educational technology’s shared resources and to achieve educational technology’s transparency. The literature [7] merged control theory knowledge with a common database of instructional technologies and coupled hardware and software. The created system can not only provide the underlying fundamental data with the “intelligent control” subsystem using the electronic label subsystem but can also combine the electronic label, WMS, and intelligent control subsystems. The literature [8] looked at the issues of confusing design and procedure in educational technology shared database systems and used business process management mode (BMP) to implement one. The system can combine information platform resources, administer educational technology shared databases with high efficiency, and has the benefits of high integration, portability, and dependability.The literature [9] analyzed the existing problems with the existing educational technology shared database system, such as more educational technology resources stored, more educational technology business processes, low educational technology utilization, untimely processing of educational technology information and backward methods, and introduced JSP technology in the educational technology-shared database field’s application process. The literature [10] included bar code technology in the educational technology-shared database, which can be used to conduct a strong feasibility study of educational technology, create a bar code system, and enhance the content of the bar code system. The literature [11] provided a thorough overview of the multilayer design based on J2EE technology, as well as database concurrency control technology for storing educational data resource information. The literature [12] used J2ME platform technology to develop and implement a mobile educational technology shared database system and configure it on a mobile intelligent terminal to complete the educational technology management function, which adapts to the management needs of modern educational technology research and development information. The literature [13] designed and implemented a fully functional educational technology-shared database system based on the actual functional requirements of educational technology management in the School of Education and introduced a two-dimensional QR code to achieve data collection. The system sends the latest real-time educational technology data to the central server through the 3G wireless network in real time, which improves the efficiency of the educational technology-shared database system. The literature [14] analyzed the shortcomings of the existing educational technology-shared database system and multidimensional stand-alone system and used the B/S architecture to develop and implement an educational technology-shared database system with the characteristics of easy scalability and platform portability. The system is easy to install, simple to implement, and easy to use. The literature [15] used C/S architecture and B/S architecture hybrid mode to develop and implement a new educational technology-shared database system, which improves the performance of the system. The literature [16] analyzed the reasons for the rapid development of educational technology-shared database management services in the current market and proposed the analysis and design process of a modern educational technology-shared database system based on PDA and used Web services as a server-side interactive interface to develop an educational technology-shared database system with general functions. The literature [17] used a three-tier system architecture to develop a Web-based educational technology-shared database. The literature [18] used the B/S system architecture and used Silverlight as the client-side presentation technology and used WCF service as the SOA implementation technology to develop a flexible and changing educational technology-shared database system. The Web application architecture based on the MVC model has constructed an educational technology-shared database system for educational technology R&D enterprises [19]. The integration framework has the advantages of clear levels, low coupling, and simplified development and has achieved the design goals of a distributed educational technology-shared database management information system.


## 3. Blind Source Separation of Digital Signals

In many circumstances, the digital data acquired is only the sensor’s output signal, not the digital signal we really want. At this point, we must use a specific strategy to isolate the information we need. Blind source separation technology was born as a result of this. There are two possible interpretations for the word “blind” in this context. One indicates that the source is unknown and that the source signal cannot be directly detected. The second indicates that the parameters of the transmission channel are unknown, i.e., the source signal’s aliasing mode is unknown. The hybrid approaches of blind source separation are linear hybrid and nonlinear hybrid, depending on the linearity of the hybrid system. Second, the hybrid system is separated into instantaneous mixing and convolutional mixing based on the delay.When the source signal and its mixed mode are both under unknown conditions, according to the characteristics of the input unknown source signal, the process of recovering a single independent component source signal based on the observation signal is called blind source separation. The schematic diagram is shown in Figure1.Figure 1
Schematic diagram of blind source separation.In Figure1, when n unknown source signals are input, the source signal is expressed as follows:
(1)st=s1t,s2t,⋯,sntT.Channel A is a hybrid matrix(2)A=aijm×n.The noise isnt, and the observed mixed signal is
(3)xt=x1t,x2t,⋯,xmtT.Among them, each observed signalxit is a mixture of n source signals, and the separated independent signal is
(4)s′t=s1′t,s2′t,⋯,sn′tT.Then, the expression of blind source separation is(5)xt=Ast+nt.Then, after the separation matrixB is determined according to the observation signal xt, the separated output signal can be obtained as
(6)s′t=Bxt=BAst+Bnt.The output signals′t and st obtained after separation are compared, and usually, the amplitude and arrangement order of the two will be changed, but the separation effect will not be affected.Because of the different characteristics of signal sources, blind source separation methods can be divided into two parts:(1)
Independent component analysis (ICA). When the source signals are independent of each other, blind source separation (BSS) is equivalent to independent component analysis(2)
Information maximization algorithm (Infomax), by adding a nonlinear function to the output signal component to replace the estimation of higher-order cumulants, the nonlinear function is determined according to the judgment basis of information maximization, and then the joint entropy of the output signal reaches the maximum(3)
The problem of blind source separation is transformed into a problem of solving eigenvalues using joint diagonalization (JADE), which takes into account the signal source’s characteristics and high-order cumulantsIndependent component analysis (ICA) is a well-known blind source separation algorithm. The observed signals collected by us in this method are made up of several independent source signals mixed together. In other words, each source signal is independent of the others. However, based on prior knowledge, we can separate the observed signals into their own independent components. The independent component analysis technique is the name of this computation approach. This method’s most basic object is based on each signal’s non-Gaussian property. When each component of the source signal is independent of the others, this method can effectively separate the digital signal and the image signal, and the results obtained by combining the two are essentially consistent with the source signal. The only difference is the order of image arrangement and signal amplitude, and it will not affect the processing effect. The ultimate goal of independent component analysis (ICA) is to separate the independent source signal. When the source signal and the transmission mode are unknown, a new independent signal can be obtained after separation according to a certain calculation method. This method can be expressed in the following form.If it is assumed that the collected observation signal isxt and the source signal is st, and the mixing method of the signal is linear and instantaneous without considering noise, then the relationship between the observation signal and the source signal is
(7)xt=Ast.In the above formula, the collected observation signal ism-dimensional, that is, the xt=x1t,x2t,⋯,xmt source signal is also m-dimensional, that is, st=s1t,s2t,⋯,snt. When the source signal and the mixing mode are both unknown, the source signal is estimated by using the statistical characteristics of the source signal only based on the observed signal and some constraints on the source signal. The calculated estimated signal contains the most important information of the source signal.An objective function with the unmixing matrix as the independent variable is established, and the unmixing matrixW is obtained by the optimization algorithm, and the solution is expressed as
(8)yt=Wxt=WAst=Gst.In the above formula,G is the global transmission matrix. After learning, G is transformed into an identity matrix, and yt=st can be obtained. The estimated signal obtained is the source signal, and then the estimated signal yt is called the source signal.To sum up, ICA algorithm can also express the objective function optimization algorithm. The key point of the algorithm is to establish the objective function and the optimization algorithm. The objective function is selected according to the statistical characteristics of the algorithm. It is the key point of the algorithm and can directly reflect the robustness of the algorithm. The performance of the algorithm is reflected by the optimization algorithm. Its selection will affect the convergence speed and complexity of the algorithm, thus affecting the reliability and stability of the algorithm.Information maximization algorithm (Infomax) is proposed by Bell and Sejnowski. It is a blind source separation algorithm based on information maximization in feedforward neural network. They can eliminate the correlation between high-order statistics in observation signal through nonlinear neural network and establish the objective function of information maximization. Then, the independent component analysis method and probability theory are combined, and the best iterative algorithm of neural network learning is given, so that the neural network and information concept are organically combined, and this way has been greatly developed.The biggest highlight of this algorithm is that every signal component will be added with a nonlinear function in the calculation.(9)ri=giui.The information maximization method is when the joint entropy of a given nonlinear functionu=u1,u2,⋯,uNT reaches the maximum; the output signal components obtained at this time are independent of each other. In this way, the output signal gi⋅ obtained is just the cumulative distribution function of each component of the independent signal source, and the output signal entropy obtained at this time is the maximum value. However, the signal source is originally unknown, and of course, its cumulative distribution function is also unknown. Therefore, this requirement will be relaxed in real applications. In general, its monotonic increasing function range is between 0 and 1.The principle block diagram of the algorithm is shown in Figure2.Figure 2
Principle diagram of information maximization algorithm.In Figure2, the input signal source is S=S1,S2,⋯,SNT, the observed signal is X=X1,X2,⋯,XNT, the signal obtained after information maximization blind source separation processing is U=U1,U2,⋯,UNT, and gU is a nonlinear function, and its performance directly affects the effect of blind source separation. The final output signal is Y, and
(10)Y=gU,U=XW.Of course, the information maximization algorithm also has its own basis for judgment. That is, the variable is represented by the separation matrixW, and W is continuously adjusted in the expression of joint entropy until HY reaches the maximum value, which means that the mutual information between each component of U is a minimum value. Moreover, the output signal Y in Figure 2 is a function of the auxiliary properties in this algorithm to ensure that the components of U can be independent of each other, rather than the output signal actually used. Moreover, the relationship between the nonlinear output signal Y and the input signal U can be expressed by the following formula:
(11)YY,X=HY−HYX.In the above formula,HY is the output entropy and HY/X is any entropy. In the actual application system, this part of the entropy is additive noise. However, noise reduction has been performed before the blind source separation of the digital signal, so the noise entropy is not included in this part of the entropy. At the same time, when the two ends of the above formula are partially differentiated with respect to W, the following formula can be obtained:
(12)∂FY,X∂W=∂HY∂W.First, we setgU as the sigmoid function, that is,
(13)Yj=gUj=11+e−Uj.Using the knowledge of probability theory, the relationship between the probability density functions ofYj and Uj can be obtained as
(14)PYj=∂Yj∂Uj−1,PUj=PUjg′Uj,where g′Uj is the derivative of gUj. Furthermore, we can get
(15)HY=−∑j=1NElogPUjg′Uj.According to the above formula, the maximum point ofHY can be obtained, and the W corresponding to this extreme point is the separation matrix of this blind source separation. At the same time, the partial derivative of W is calculated for both ends of the above formula, and the correction principle of Amari natural gradient is used to obtain
(16)∇Wk∞∂H∂W=W−Tk+∂∂Wk∑j=1M−1log∂Yj∂Uj.The above formula can be further organized to obtain(17)∇Wk∞WTk−1+1−2YkXTk.By multiplying the above formula to the right byWTW,
(18)Wk+1=Wk+μ1+1−2YkUTkWk.This is the blind source separation algorithm for maximizing information.Joint approximate diagonalization (JADE algorithm) is to obtain a fourth-order matrix through joint approximate diagonalization and obtain a separation matrix. The schematic diagram of the algorithm is shown in Figure3.Figure 3
Schematic diagram of the joint approximate diagonalization algorithm.In Figure3, st is the n source signals that are independent of each other and the variance is 1, A is the mixing matrix, xt is the n signals detected by the sensor that are linearly mixed by the source signals, W is the whitening matrix, and U is the orthogonal matrix.The major research objective of the joint approximate diagonalization (JADE) blind separation technique is to solve the unitary matrixU problem by altering the mixed matrix. The source signal is obtained by combining the approximate diagonalization of the autocorrelation matrix of a group of observation signals, and the source signals are then inverted from the whitening matrix W and the unitary matrix U.


## 4. Cloud Application Construction of English Virtual Teaching Resources Based on Digital 3D Technology

Data flow diagram (DFD) can accurately and logically describe the functions, input, output, and data storage of the system, get rid of the physical content, and is the most important tool for describing the logical model of the system. By analyzing the business or needs to be achieved by various users in the system, the data flow chart of this system is shown in Figures4–6.Figure 4
The data flow chart of the 0 layer of the system.Figure 5
The data flow diagram of the first layer of the system.Figure 6
The flow chart of the second layer data of the system.The university teaching operation status database system is divided into four functional modules based on an object-oriented and three-tier design concept: system utilization management, fundamental system management, status data management, and evaluation statistics management. According to the unique content achieved by the function, each functional module may be split into many functional submodules, as illustrated in Figure7.Figure 7
The structure diagram of the system function module.During the operation of the English virtual teaching resource system based on digital three-dimensional technology, English technology research management system, school student management system, teacher management system, etc. must all be accessed. Therefore, the database access process needs to realize the integration of heterogeneous systems, divide the database into multiple levels, and realize the shared bus, so that each system can access different levels of content. The specific layers include perception layer, network layer, data layer, support layer, and application layer. The functions of each layer are in Figure8.Figure 8
English virtual teaching resource system based on digital three-dimensional technology.According to logical business needs, the English virtual teaching resource system based on digital three-dimensional technology may communicate linked read-and-write operations to connected devices. The outcome of the operation may be given back to the requesting software when the storage device completes it. The English virtual teaching resource system may deploy data resources in various devices based on how often users use the material, allowing for automated data movement and a higher data hit rate. Figure9 depicts the architecture and logical business process of an English virtual teaching resource system.Figure 9
The logical structure of the English virtual teaching resource system based on digital three-dimensional technology.


## 5. Performance Test of English Virtual Teaching Resource System Based on Digital 3D Technology

Through the above research, an English virtual teaching resource system based on digital three-dimensional technology is constructed, which is essentially a database system. On this basis, the performance of the system is analyzed, and the test content is the effect of digital processing of English resources and the effect of improving English teaching. Moreover, this paper uses 78 sets of data to detect the effect of digital processing of English teaching resources. The results are shown in Table1 and Figure 10.Table 1
Statistical table of the effect of digital processing of English teaching resources.
NumberDigital effectNumberDigital effectNumberDigital effect192.52790.85389.2289.02891.35487.1379.32988.75585.3490.43090.45687.4581.93187.65792.9691.23282.75890.8789.03382.75990.1885.63483.76086.0983.03592.26193.81080.03690.66289.81181.63792.76381.11280.43891.96490.31390.63984.66588.31487.54092.86686.41584.94188.16787.21684.44286.56882.31792.64384.86979.01886.24488.67089.51992.04579.27189.82084.04692.87291.32191.14787.77390.72279.84894.07479.42383.34985.77580.52483.45080.37681.72592.35187.97786.32679.65279.77886.9Figure 10
Statistical diagram of the effect of digital processing of English teaching resources.As can be observed from the above study, the digital three-dimensional technology described in this research efficiently decomposes English teaching resources to make them easier to recognize digital resources, which is beneficial to English teaching and resource sharing. The effectiveness of the English virtual teaching resource system based on digital three-dimensional technology is validated on this basis, and the findings are given in Table2 and Figure 11.Table 2
Statistical table of the teaching effect of the English virtual teaching resource system based on digital three-dimensional technology.
NumberTeaching evaluationNumberTeaching evaluationNumberTeaching evaluation189.42788.55377.6282.02877.05479.5388.72983.55582.6486.53088.75677.3589.33189.75781.9684.23286.65882.0778.13391.05984.3883.63479.06082.9980.13579.46182.21079.43690.96283.61180.03782.26383.31280.03886.36480.41387.13990.26588.61479.94081.66679.71585.54181.16788.51681.64281.46878.41779.04388.76977.31878.44479.67086.71977.04580.67181.32080.24685.67291.62177.54782.37381.82279.04882.37482.22388.24980.07586.82483.35077.87676.42581.05180.77791.92677.55276.37877.9Figure 11
Statistical diagram of the teaching effect of the English virtual teaching resource system based on digital three-dimensional technology.Through the above experimental analysis, it can be known that the English virtual teaching resource system based on digital three-dimensional technology constructed in this paper has a certain effect on the improvement of English teaching quality.


## 6. Conclusion

On the premise of investigating and studying the current situation of college English teaching status management and fully understanding the needs of college English teaching evaluation work, this paper designs and develops a cloud application in English virtual teaching resource system based on digital three-dimensional technology. The system is built on a three-tier network architecture and performs the expected main functions, such as the creation of a dynamic and changeable three-tier indicator system, remote data collection, review, and storage, data extraction and integration, and comprehensive evaluation and statistical analysis functions. The status data created in the operation of English teaching in different departments of English teaching management may be gathered, summarized, and scientifically evaluated and processed according to management goals via the use of this system. At the same time, through the application of this system, valuable data and information can be obtained to support the management decision-making of English teaching managers, which will greatly promote the improvement of the management level of college English teaching and the effective guarantee of the quality of English teaching.



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