Design of multimedia broadcasting terminal for college English teaching under internet environment

Abstract

With the development of the Internet, the application of multimedia in College English teaching is becoming more and more demanding, especially in the area of accurate information recommendation. In order to improve the accuracy of push information in College English multimedia teaching broadcasting, a particle swarm optimization (PSO) algorithm is proposed in this paper. By designing a massless particle to simulate the foraging behavior of birds, the algorithm searches for precise targets to obtain the optimal solution. Combining with Internet technology, the weight of data transmitted by multimedia broadcasting signal is calculated by setting an independent address, and then the interactive data flow between teachers and students is analyzed to optimize the design of multimedia broadcasting terminal. The results show that the indicators with higher scores are mainly distributed in the construction of network teaching platform. The three indicators with the highest scores are convenience, module integrity and management and maintenance, which are 2.825, 2.715 and 2.696, respectively. Through this study, it brings new inspiration to the intellectualization of College English teaching. Multimedia broadcasting design can solve the problem of interference in terminal broadcasting transmission by setting independent addresses.

Keywords

College English teaching multimedia broadcasting terminal design internet

1. Introduction

At present, English is the most important language used in many countries all over the world [1]. In recent years, Internet of Things (IoT), as an important branch of computer Internet communication technology, has developed rapidly, and has changed the way of human life more and more obviously. Mobile Internet and IoT devices have been fully developed and utilized. With the help of the Internet, the traditional way of work and life has undergone tremendous changes. More and more teaching institutions integrate Internet technology into college English teaching, especially the growing maturity and popularization of multimedia technology. At present, multimedia technology is indispensable to English teaching in many colleges and universities [2]. However, in the field of multimedia broadcasting, the traditional broadcasting methods can no longer meet the diverse broadcasting needs. Point-to-point broadcasting, packet broadcasting, real-time broadcasting, intelligent broadcasting, and broadcasting with other functions, such as time display, have not been fully developed. Especially the development of wireless Internet equipment is more urgent. In the current situation that the technical conditions have been basically met, the need to study a wireless multimedia broadcasting terminal equipment arises at the historic moment.

The traditional English teaching mode is teacher-centered and students study for exams, lacking the training of practical ability to use language. How to get out of the exam-driven English teaching mode and explore the English learning mode which not only helps to stimulate students’ interest in English learning, but also helps to improve the teaching effect and quality of English teaching in Colleges and universities has become an urgent problem faced by English educators [3]. With the rapid development of information technology, the Internet has provided abundant resources for English teaching. The establishment of various learning platforms has freed English learners from the constraints of learning time and place, and provided a vast space for English teaching reform. Therefore, this paper uses intelligent optimization algorithm to study the design of multimedia broadcasting terminal for college English teaching under the Internet environment.

This paper is divided into three parts. The first part mainly introduces the innovative teaching method of College English based on the network teaching platform, and discusses the necessity of multimedia broadcasting technology in College English teaching. The second part studies the Internet environment by using particle swarm optimization and intelligent optimization algorithm. The third part studies the algorithm and system platform proposed in this paper through experiments testing in order to get the experimental results.

2. Related work

With the development of Internet technology, multimedia broadcasting has been widely used, and many scholars have done a lot of research on it. Lentisco C M used embedded development platform and computer network technology to design a set of wireless multimedia broadcasting terminal equipment. It is found that the device can display time clearly in public places and solve the problem of unified time calibration for time display [4]. According to the specific needs and conditions of Fuzhou’s network construction, Feng P proposed an effective network planning scheme to analyze the planning principles of China Mobile Multimedia Broadcasting (CMMB) coverage network. The research results show that the application of multimedia broadcasting terminal design has reached the required network coverage rate [5]. Wei-Dong X U put forward that FM signal was transmitted and received by wireless way. Receiving equipment can’t amplify sound power generally. If it really needs broadcasting, it needs to input the received signal to the circuit broadcasting equipment. The research found that the working principle of streaming media digital broadcasting is quite different from traditional circuit broadcasting. It uses the combination of digital signal and analog signal [6]. Wang J X systematically analyzed the current situation and technical characteristics of mobile multimedia broadcasting, proposed the requirements of middleware, and implemented the design. Through testing and practical application, it was concluded that the system met the design requirements in terms of function, performance and stability [7]. Araniti G proposed to construct a task-based flip classroom model, but did not introduce specific methods of operation. Combining with the characteristics of teaching Chinese grammar as a foreign language, he tried to construct a teaching model of learning grammar after class and displaying the results in class. Taking the grammar project “verb + pass” as an example, he gave the specific experimental process, and studied the validity and generalization of the research and development results which are to be further discussed [8]. Hartman H exploresd the establishment of a new mode of modern college English teaching based on the combination of human and computer supported by multimedia network technology. The research shows that this mode embodies the student-centered concept of individualized learning, optimizes teaching resources, and pays attention to the cultivation of students’ comprehensive practical ability in English and their ability to acquire English knowledge by using modern means of information dissemination [9]. Kuribayashi M introduced formative assessment into college English multimedia teaching and designed a teaching evaluation model under the network environment. The research shows that college English teaching based on multimedia network environment can maximize students’initiative and enthusiasm in learning English [10]. Kabooha focused on the design and main technical implementation of the Intelligent Multimedia Broadcasting Terminal for College English, and the advantages of the Intelligent Multimedia Broadcasting Terminal was summarized in the comparison of similar products under the Internet environment, considering that the design has broad application prospects [11]. Zhang Z made a comprehensive analysis of the protocol family involved in receiving business data for digital multimedia broadcasting terminal equipment, and ANSI C programming was used to ensure that the parsing library can be transplanted to multiple operating platforms. The test data on various terminals in English teaching show that the parsing library has good portability and operational efficiency [12]. Zou L proposed a design of handheld digital mobile TV terminal for CMMB mobile multimedia broadcasting system. Using Linux as software platform, the hardware structure and software system were designed, and finally the digital mobile TV broadcasting was realized [13]. Millard W L established a basic reliability evaluation model by statistically analyzing various parameters of the digital multimedia broadcasting system running in Chongqing University of Posts and Telecommunications for a long time. It is found that the sensitivity of the digital multimedia broadcasting system can be improved by using the model [14]. Techaraungrong P applied Internet technology to design a multimedia broadcasting system based on wireless network, and tested it. The stability, reliability and practicability of the system had been validated effectively. Research shows that the design is widely applicable to large public places such as stations, schools, airports, parks and so on. It is an ideal multimedia broadcasting equipment in the Internet era [15]. Through the above-mentioned domestic and foreign scholars’ research on multimedia broadcasting terminal design, we can find that most of them focus on the application of multimedia broadcasting terminal design. Therefore, this paper studies the optimization of multimedia broadcasting terminal design in College English teaching under the Internet environment [16 –18].

3. College English teaching method and multimedia broadcasting terminal design algorithms

3.1 Innovative teaching method of college English based on internet teaching platform

English teaching refers to the process of teaching English to people who are or are not a first language. English teaching is a step-by-step process. Whether English is a first language or not, English learning is of vital importance in today’s rapid development of globalization. Using the network teaching platform to innovate University Interactive Teaching and realize the integration of network teaching platform and English teaching, which means that information technology is widely used in English teaching. Teachers should make full use of the Internet platform to improve students’ English reading, writing and speaking abilities through animation and video, and cultivate students’ ability to use English so that they can achieve the habit of autonomous learning of English through the Internet platform. Teachers’ multimedia teaching through Internet teaching platform can maximize students’ desire for learning and stimulate students’ interest in learning [19, 20]. Through the combination of animation, sound, video and other elements, we can carry out teaching, activate the classroom atmosphere, students devote themselves to interactive teaching, earnestly study the knowledge taught by teachers and students, and cooperate tacitly. By presenting the teaching situation through multimedia technology, the teaching process becomes vivid and attractive, thus deepening the students’ learning impression. Through the guidance of teachers, students can log on to the campus learning platform through the Internet for independent learning. With the help of computer technology, students can develop their reading, writing, translation and other English abilities. According to their actual English level, students can gradually arrange computer self-study courses to improve their comprehensive English level to achieve the effect of self-study and comprehensive improvement.

3.2 Particle swarm optimization based on multimedia broadcasting terminal design

Multimedia broadcasting receiving terminal is based on embedded hardware platform and software platform to achieve signal reception and processing, and complete business presentation. The terminal hardware implements CMMB signal demodulation, demultiplexing, conditional reception, decoding and display assisted by the underlying software. Software can be divided into low-level software and application-level software. Application-level software is based on CMMB network to realize the functional logic and user presentation of various services. In the process of College English teaching, combined with Internet network information technology, the design of multimedia broadcasting terminal and the traditional broadcasting form have obvious advantages, which are mainly embodied in the following aspects: First, the terminal of broadcasting equipment can be used as the host of the Internet, each host has a network card connection, it can set an independent address, increase the flexibility of broadcasting, and can be one-way. One or more devices send broadcast messages. Second, the use of broadcasting protocols, which already have a local area network, there is no need to reconnect. The device can be directly connected to the LAN to achieve seamless connection. The processing of audio format is more flexible, while the traditional broadcast format can only support some audio formats. Third, the form of broadcasting is more flexible, it can be used as point-to-point (one-to-one) broadcasting, multicast (one-to-one, full broadcasting (one-to-one). Users can choose which way to use, so as to avoid unnecessary trouble. For example, in schools, when it is necessary to broadcast to teachers, all classroom signals can be blocked and broadcast only to classroom offices.

Considering the characteristics of user terminals of mobile multimedia broadcasting system, the receiving terminals of mobile multimedia broadcasting system are mainly divided into two forms: bidirectional terminal and unidirectional terminal. Among the types of mobile multimedia broadcasting terminals, two-way terminals mainly include mobile phone terminals and notebook computer terminals, one-way terminals mainly include PMP and PND navigation devices, and one-way USB/SD dongle terminals which can receive mobile multimedia broadcasting signals. With the progress of technology and the integration of technology, the functions of various CMMB terminals will become more and more powerful, and the boundaries of different types of terminals will become more and more blurred. Here, we use particle swarm optimization algorithm to design a CMMB Terminal Scheme for disease analysis and description. Particle swarm optimization (PSO) is an evolutionary algorithm based on the behavior of bird prey. Its idea is derived from the theory of artificial life and evolutionary computation. The behavior of bird prey is shown in Fig. 1.

Fig. 1

Schematic of bird population predation.

The basic solving process of particle swarm optimization is as follows: the first is the best solution that the particle itself can find, which is called local extremum point (pbest represents its position). Another extremum point in the global PSO is the global extremum point (gbest represents its position). The local PSO does not use the whole population but uses part of it as its solution. The best solution for the neighbor of a particle is the local extremum point (its location is represented by lbest). After finding the two best solutions, the particle updates its velocity and position according to the following formula (1) and formula (2). The information of particle I can be expressed by D-dimension vector, the position of particle I can be expressed by X_i = (x_i1, x_i2, x_i3, … x_iD) ^T, the velocity by V_i = (v_i1, v_i2, v_i3, … v_iD) ^T, and other vectors are similar. The updating equation of shellfish leg degree and position is as follows: $\begin{matrix} v_{id}^{k + 1} = v_{id}^{k} + c_{1} {rand}_{1}^{k} ({pbest}_{id}^{k} - x_{id}^{k}) \\ + c_{2} {rand}_{2}^{k} ({gbest}_{id}^{k} - x_{id}^{k}) \end{matrix}$ (1) $x_{id}^{k + 1} = x_{id}^{k} + v_{id}^{k + 1}$ (2)

$v_{id}^{k}$ is the velocity of particle I in the d-Dimension in the k-th iteration; c₁ and c₂ are the acceleration coefficients (or learning factors), which adjust the maximum steps to the global best particle and individual best particle respectively.

3.3 Intelligent optimization algorithm based on multimedia broadcasting terminal design for college English teaching

Intelligent optimization method based on model tries to optimize the fitting degree between data streams designed by multimedia broadcasting terminals for English teaching in Colleges and universities. It is often based on the assumption that data are generated from potential probability distributions. The most classical model-based clustering method is COBWEB algorithm proposed by Fisher. The input data points of COBWEB algorithm are represented by attribute-value pairs. Multimedia broadcasting terminals are applied to college English teaching. In the Internet environment, the reception of interactive data streams between teachers and students is the first step. Only when the data streams in the form of multiplexed frames are correctly received, can the subsequent processing be carried out. The reception referred to here refers to the data streams output by embedded platform or PC receiving baseband chips. Then, based on COBWEB algorithm, hierarchical clustering is established by using the method of classification tree. In this way, all data points in the tree represent a concept, including the probability of the concept, and statistics the sum of all objects divided into this node. Probability case represents concept probability and conditional probability in the form of P (A_ij/ - C_k), where A_i = V_ij refers to an attribute - value pair (i.e., the possibility that the first attribute takes its jth value), and C_k refers to a concept class. Brother nodes at one level of such a tree generate new partitions. The algorithm uses heuristic estimation calculation - classification effect to guide the establishment of classification tree. Classification utility (CU) can be described as: $\begin{matrix} \frac{1}{n} \sum_{k = 1}^{n} p (c_{k}) \\ [\sum_{i} \sum_{j} p (A_{i} = \frac{v_{ij}}{c_{k}}) - \sum_{i} \sum_{j} p {(A_{i} - v_{ij})}^{2}] \end{matrix}$ (3)

Among them, n denotes the number of nodes, concepts or “species” in the new partition {C₁ C₂, … , C_n } generated at some level of the classification tree. Classification effectiveness feedback classes internal similarities and differences between classes: probability P (A_i = V_ij/ - C_k) represents the similarities within the class, the greater the P value, the more members of the common attribute-value pair, and the greater the possibility of predicting that the attribute-value pair belongs to the class members. Probability P (C_k/ - A_i = V_ij) refers to the difference between classes. The larger P is, the fewer objects that share this attribute - value pairs to compare classes, and the greater the possibility of predicting that attribute - value pairs belong to class prediction. COWEB operates by incrementally adding objects to the classification tree. It first updates the count along a suitable path in the tree and queries the “best host” or node that classifies the object. This decision is to temporarily put the object in all nodes and calculate the classification effect of the result partition. Among them, the specific location of the best classification results can be regarded as a good host for the object.

4. Experimental design and analysis

4.1 Experimental environment and conditions

In order to verify the effectiveness of the design of multimedia broadcasting terminal system for college English teaching under the Internet environment, dot matrix design time display driver board is adopted. The driving board circuit consists of four parts: signal input, signal processing, signal amplification and signal output. In the design of sound card application program, the voice function needs the support of sound card hardware device and driver. On the premise of determining the sound card circuit and driver, the sound playing application program is designed. The dual network card design of the system needs to configure the correct driver for each form of network card, select the appropriate network card, transplant the driver correctly, and provide the necessary conditions for network communication. The core of the whole system is to realize the key part of the system function. Using this protocol, signals are sent to each terminal device through WLAN. In this paper, school A is selected as the experimental object, and the effectiveness of this design and algorithm is verified by constructing a multimedia broadcasting terminal English teaching system platform. A school is a local multi-disciplinary full-time general college. Since the second half of the school year in 2012, A school has explored a distinctive teaching mode in combination with its own characteristics. Combining with the trial operation of the campus network teaching platform, it has carried out a comprehensive teaching reform of some courses, including the reform of basic English teaching, and has made great achievements. There are 1365 students and 51 teachers in the Foreign Language Department of School A, including 2 professors, 15 associate professors, 23 lecturers and 8 foreign teachers.

4.2 Experimental process and results

The campus teaching platform of broadcasting terminal set up by using Internet multimedia technology in school A not only changes the teaching mode of teachers in the classroom according to the texts, but also changes the learning side by guiding students to use it and training students’ good habits of self-learning, which turns passive teaching into active teaching, and students also change their learning side by learning on the campus teaching platform. It enhances the interest of learning English and enhances the attendance rate of English class. This paper investigates the satisfaction of students by means of questionnaires. A total of 152 questionnaires are sent out, 148 questionnaires retrieved, 2 unqualified questionnaires removed and 146 valid questionnaires valid, accounting for 96.05% of the total questionnaires issued.

As can be seen from the results of the questionnaire in Fig. 2 above, the application of multimedia broadcasting terminal based on the network teaching platform can obviously change the English teaching mode and improve the teaching quality. Students can also learn independently through the network self-learning platform, which is conducive to improving students’ comprehensive English ability. Understanding the students’ English achievements is enough to reflect the change of teaching mode and bring practical changes to students. By inquiring the English scores of the same class in the same semester through the educational administration system, it is found that the average score has risen from 68.5 to 70.5 at the bottom of the entrance examination. Among them, the number of students who have reached the qualified level has increased from 71 to 129 at the time of enrollment, and the number of students with 80 points or more has risen from 26 to 37 at the time of enrollment. By inquiring students’ attendance records in English classes, it is found that the attendance rate increases from 81% at the beginning of the semester to 97% at the end of the semester.

Fig. 2

A school English teaching reform experimental class 2013 and 2014 College English test scores data chart.

Through the above data, it is enough to reflect that through the combination of information technology and teaching, school A builds a teaching platform and guides students to study independently, which not only improves the teaching quality, but also improves students’ ability to use English, changes the way students learn English, and enhances students’ interest in learning English. As far as students’ factors are concerned, the main influencing factors are students’ needs (2.325), followed by students’ cognition (2.302), and students’ input has the lowest impact. The determination of the influence degree of secondary indicators is based on the students’ preference degree for each index. After assigning the preference degree and combining the above calculation formulas, the results are obtained. For example, Table 2. From the calculation results, it can be seen that the indicators with higher scores are mainly distributed in the construction of network teaching platform. Among them, the convenience, module integrity and management and maintenance of network teaching platform for ideological and political courses are as follows. The highest scores are 2.825, 2.715 and 2.696, respectively. On the whole, students’ scores on the secondary indicators are relatively low, which indicates that students’ awareness of participating in the ideological and political course online teaching platform is relatively deficient.

Table 1

A school teaching reform experimental class 2013 and 2014 College English test pass rate table

Name of the exam	Enrolment	Actual test number	Number of persons passing through	Rate of passing
English grade test in December 2013	36	32	13	40.62%
English grade test in June 2014	92	87	45	51.72%
English grade test in December 2014	95	93	56	60.21%

Table 2

Level index impact degree

Target layer	First level index	Influence degree
The influence factors of the network teaching platform of the ideological and Political Course	University support (Yg)	1.907
	Network teaching platform (Yp)	2.112
	Teachers’ team (Yj)	1.803
	Students (Yx)	1.616

Fig. 3

A school teaching reform experimental class 2013 and 2014 pass rate of College English test.

The influence of the four leading factors on the overall ideological and political course network teaching platform is not a single role, but intertwined and interacted with each other. It is a dynamic development system, which acts on the network teaching platform together. Firstly, assuming that the 15 parameters of the system are known, the real active joint angle θ_ai can be calculated by formula 6–8 according to a sampling point (x, y). In this process, both l_{A
_i
O} and ai can be obtained by using the 15 parameters known. Because Δθ_ai is known, the reading values of three active joint angle sensors can be obtained by ${\tilde{θ}}_{ai} = θ_{ai} - Δ θ_{ai}$ . For n end-effector coordinate sampling points, the reading values of N groups of active joint angle sensors can be obtained through the above process. So far, the simulation platform for simulating the actual planar two-degree-of-freedom parallel mechanism has been built. Thereafter, the real values of the 15 system parameters used in the process of platform construction are all put aside, and the 15 parameters are all changed into unknown variables for calibration. The simulation optimization process of several algorithms using different error functions can be shown in Figs. 4–6. The error functions J1, J2 and J3 are used respectively.

Fig. 4

Optimization process under the error function J1.

Fig. 5

Optimization process under the error function J2.

Fig. 6

Optimization process under the error function J3.

From the graph, under J3, the results of the three optimization algorithms have been improved to varying degrees. Among the three algorithms, DE improves the performance most. With DE, J3 can be reduced to 3.5946e-20.

5. Conclusion

Traditional English teaching methods can no longer meet the requirements of modern English learning. The popularity of the Internet provides opportunities and challenges for college English teaching. High-quality teaching resources represented by multimedia broadcasting promote educational equity. The emerging global resource sharing reduces the cost of education and improves teaching. This paper uses intelligent optimization algorithm to study the design of multimedia terminal for college English teaching under the network environment, and carries out experiments. The experimental results show that the combination of multimedia broadcasting technology and college English teaching can guide students to study independently through the network teaching platform, change the college English teaching mode in an all-round way, improve students’ English learning ability in an all-round way, and enhance students’ English learning ability and students’ ability to use English. Through the experiment, one of the broadcasting terminal equipment, such as voice display, real-time broadcasting, regular broadcasting, unified school business hours, wireless network transmission and wired network transmission, has been completed. After a long period of testing and debugging, these functions have been realized and the expected purpose has been achieved. The application of mobile Internet technology in multimedia broadcasting field of College English teaching has been developed. In the future, more applications should be integrated into the design of multimedia broadcasting terminals for college English teaching, such as video surveillance, temperature display, humidity display, anti-theft infrared devices.

References

W.U.

Jian ,

W.U.

Yongjian and

Huang , Low power design for emergency broadcasting terminal equipment, Radio & Tv Broadcast Engineering 3(78) (2016), 67–78.

Lee ,

Kim and

Lee , Optimal beam steering for maximal visual quality over a multimedia broadcasting system, IEEE Transactions on Broadcasting 62(1) (2016), 35–45.

Tan ,

Wu and

Cui , A hybrid digital analog scheme for MIMO multimedia broadcasting, IEEE Wireless Communications Letters 6(3) (2017), 322–325.

C.M.

Lentisco ,

Bellido and

Pastor , Seamless mobile multimedia broadcasting using adaptive error recovery, Mobile Information Systems 20(17) (2017), 1–11.

Feng and

Cheng , The research of digital multimedia broadcasting system sensitivity, Electronics World 8(27) (2016), 23–34.

X.U.

Wei-Dong and

J.O.

University , The design and implementation of high definition recording-broadcasting system in open university, Education Teaching Forum 8(56) (2016), 35–59.

J.X.

Wang ,

X.H.

Liu and

Zhang , The application of automatic recording - broadcasting tracking system in clinical PBL teaching, Hospital Administration Journal of Chinese Peoples Liberation Army 5(4) (2016), 57–72.

Araniti ,

Bisio and

M.D.

Sanctis , Multimedia content delivery for emerging 5G-satellite networks, IEEE Transactions on Broadcasting 62(1) (2016), 10–23.

Hartman and

Johnson , The effectiveness of multimedia for teaching drug mechanisms of action to undergraduate health students, Computers & Education 66(11) (2018), 6–7.

10.

Kuribayashi and

Funabiki , Fingerprinting for multimedia content broadcasting system, Journal of Information Security & Applications 49(41) (2018), 52–61.

11.

Kabooha and

Elyas , The effects of YouTube in multimedia instruction for vocabulary learning: Perceptions of EFL students and teachers, English Language Teaching 11(2) (2018), 72.

12.

Zhang ,

Ma and

Lei , Power domain non-orthogonal transmission for cellular mobile broadcasting: Basic scheme, system design, and coverage performance, IEEE Wireless Communications 25(2) (2018), 90–99.

13.

Zou ,

Trestian and

G.M.

Muntean , E³DOAS: Balancing QoE and energy-saving for multi-device adaptation in future mobile wireless video delivery, IEEE Transactions on Broadcasting PP(99) (2018), 1–15.

14.

W.L.

Millard , Multimedia instructional techniques: Facilities and services for college teaching, Journal of the Smpte 75(9) (2015), 825–827.

15.

Techaraungrong ,

Suksakulchai and

Kaewprapan , The design and testing of multimedia for teaching arithmetic to deaf learners, Education & Information Technologies 22(1) (2015), 1–23.

16.

Shuang , Multimedia computer assisted instruction in college English teaching, Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on IEEE, 2012, pp. 754–757.

17.

Wang and

Shen , Message design for mobile learning: Learning theories, human cognition and design principles, British Journal of Educational Technology 43(4) (2012), 561–575.

18.

Jin , Design of a virtual community based interactive learning environment, Information Sciences 140(1-2) (2002), 171–191.

19.

Dede , The evolution of distance education: Emerging technologies and distributed learning, American Journal of Distance Education 10(2) (1996), 4–36.

20.

G.E.

Hawisher and

Moran , Electronic mail and the writing instructor, College English 55(6) (1993), 627–643.