As a new way of online learning, Mobile Phone Live Broadcast can enhance learning experience because of the high porta- bility and interactivity. The research proposes a curriculum design strategy of Mobile Phone Live Broadcast for teacher training based on the comprehensive analysis of relevant research experience, which is problem diagnosis, live teaching, real-time interac- tion, summary and improvement. And then the research verifies the good application effect of this strategy. With this strategy, the Mobile Phone Live Broadcast curriculum can improve the quality of the curriculum and the effect of teacher training, and also can provide reference for the design and development of the online course.

With the acceleration of China's aging society, more and more people are stepping into the ranks of the elderly. The self- care ability and self-protection ability of the elderly are gradually reduced, and their health problems have been widely concerned. Aiming at the problem of elderly health management, this paper designs an elderly health management system based on OneNET, in- cluding sleep monitor, motion monitor and client application software. It can monitor and analyze the data of heart rate and respira- tion. When the old people fall down accidentally, the system can alarm and locate in time. It realizes the management of the health status of the elderly.

At present, the main auxiliary means of travel for blind people in China are guide sticks, guide dogs and related barrier-free facilities, but guide sticks and guide dogs have their own advantages and disadvantages, the level of barrier-free facilities construc- tion in various places is uneven, which has led to the travel difficulties of blind people. Starting from providing intelligent and safe way of travel for blind people, this paper researches and designs an intelligent guide headset based on GPS positioning and voice navigation, supplemented by intelligent guide crutches to detect obstacles, to provide blind people with a new travel experience, more secure and convenient service.

The scientific research ability is one of the important factors which affect the strength of colleges and universities. Through data analysis and visualization, the scientific research level of universities and teachers can be displayed intuitively. In order to better reflect the scientific research level of colleges and universities, this paper designs and implements the scientific research data visual- ization system. This system uses the PyCharm development platform, uses Bootstrap for page layout to form the overall structure, us- es SqlAlchemy to operate the database in the background, and transmits data through the Flask Web framework. According to the characteristics of data visualization, different types of data charts are drawn by ECharts technology, and the synchronous display of data is completed withAjax asynchronous request.

Under the special circumstances of epidemic situation, the mixed teaching mode is designed and adjusted based on the ac- tual course conditions, and online mixed teaching is carried out through learning platform and live broadcast. This paper takes the Web Design course as an example to design the applied teaching mode, analyzes the advantages and disadvantages of the mixed learning mode, and plays a promoting role in the subsequent course construction and development.

In this study, the index system of performance evaluation of school-enterprise cooperation in higher vocational colleges is established from three aspects of schools, enterprises and governments in terms of input cost and gain. The network Analytic Hierar- chy Process (ANP) is applied to carry out decision evaluation. The weight of the index system is calculated with the software Super Decisions, which is convenient and accurate. Taking one higher vocational college as an example, this paper makes an empirical study with the established performance evaluation index system. The research results show that with the increase of input costs of schools, enterprises and governments, the benefits brought by school-enterprise cooperation also increase.

Sino-foreign cooperation in running schools is an important part of our country's educational modernization. Through the embedded cooperation with India's NIIT, our school actively explores new models of Sino-foreign cooperative talent training, and has cultivated a large number of undergraduate computer talents with strong practical innovation ability and high corporate satisfac- tion. This article makes an introduction including cooperation mechanism, curriculum system, teaching characteristics and student training competition, hoping to provide reference for the cooperation of similar colleges.

With the popularization of higher education, the number of college students is increasing year by year. The analysis of freshmen's data can help the school to better understand the situation of students, and help to carry out teaching, student management and other work. Based on this, this paper designs and implements the freshmen data visualization system, summarizes the freshmen data, and displays the data through the college screen. The system is based on Python language and is realized by separating the front end and the back end. The back end provides the data interface through Python flash framework and SqlAlchemy, the front end and back end transfer data throughAjax, and the front end uses Vue + ECharts to visualize the data.

Education statistics is an important basic work for our country to investigate and analyze the development of education at all levels. Through the collection and summary of relevant education data, we can deeply grasp the information of teachers, students and school running conditions. At present, the education statistics work that has been carried out mostly stays at the data collection and reporting stage, and there is no systematic analysis of the data. In order to solve this problem, this paper designs a statistical data analysis and display system for colleges and universities. Based on the statistical data of a university over the years, the data analysis and display are carried out to provide certain decision-making reference for the development of the university.

In the new era, in order to cultivate more high-tech talents, higher vocational education needs to promote the integration of industry and education and school-enterprise cooperation. The hardware construction and software construction of optical transmis- sion practice platform, as well as the design and organization of practical teaching reform scheme of school-enterprise integration are discussed. The effective operation mechanism of school-enterprise cooperation to promote the construction of platform and train- ing quality of innovative talents in vocational colleges are studied.

With the popularity of Internet and mobile devices, the traditional teaching mode is challenged. Education also needs to change the original mode and cultivate personalized talents. Flipping classroom teaching takes students as the main body, which is helpful to cultivate students' autonomous learning and cooperative learning ability. Whether or not to achieve good results depends on the joint efforts of schools, teachers and students.

For dealing with the noise image processing in the real scene, this paper proposes a denoising algorithm based on convolu- tional neural network according to the noise model which closer to the real scene. The algorithm uses multiple convolution layers in the convolutional neural network to learn the data characteristics of the noise image in the real scene, so as to continuously optimize its own parameters. The simulation results show that the denoising algorithm based on convolutional neural network has a good de- noising effect on the noise image in real scene, the denoised image is clearer, the visual effect is better, and the edge details in the im- age are well preserved.

The transformation of newly-built local undergraduate colleges into application-oriented universities focuses on applica- tion-based and strengthening connotation construction. In the top-level design process of universities, a series of key institutional re- forms should be carried out from the application-oriented perspective. The on-campus laboratory is an important platform for stu- dents to practice. Reasonable setting of the laboratory system to suit the needs of application-oriented colleges and universities is es- sential to realize the functions of experimental teaching platforms and make the best use of them to cultivate talents and support man- power for the development of local economy.

This paper explores on the pattern of curriculum ideological and political construction in art colleges, and explores on the ideological and political elements in computer teaching content. It incorporates the collaborative education concept of "explicit edu- cation + recessive education", and constructs the working mechanism of educating people in the same direction as computer teach- ing. The mechanism is designed to cultivate literary and art workers and reliable successors with high political literacy and strong professional skills. It has a certain practical value for curriculum ideological and political teaching, and provides reference for the ap- plication of ideological and political practice in colleges and universities.

With the large-scale construction of the 5G mobile communication and rapid increase of 5G users, the problems faced by 5G network planning and construction are becoming more and more prominent. Traditional wireless network planning mainly relies on manual selection, which leads to coverage target deviation and waste of investment. A big data scoring system is proposed based on geographic data, network operation data, resource situation, business forecasting, which contains four levels and twenty dimen- sions. Focusing on network problems and valuable users through big data scoring, accurate 5G network planning is realized.

Low-dose CT not only reduces the radiation to human body, but also affects the image quality. Aiming at the problem of large noise in low-dose CT images, BM3D algorithm is applied to the denoising process of CT images in this paper. Based on the idea of non-local block matching, the algorithm firstly looks for image similarity blocks through block matching, then stacks the im- age similarity blocks into 3D matrix and performs collaborative filtering processing, and then aggregates the processing results into the original image blocks to restore the image. Compared with the traditional denoising algorithms, BM3D algorithm has great ad- vantages, better visual effect and significantly higher PSNR value.

With the development of wireless communication technology and positioning technology, trajectory data emerge in large quantities. Similarity measurement is used in the query and analysis of trajectory data. In this paper, an improved similarity measure- ment is proposed. By introducing the negative correlation between the distance of points and the similarity into the real sequence ed- iting distance, the robustness to noise is preserved and the sensitivity to difference is improved. We apply different similarity mea- sures to the trajectory privacy protection method based on cluster-reconstruction, and verify the effectiveness of the proposed trajec- tory similarity measure by experiment on the real data and the synthetic data.

As a method to solve the "information overload" problem brought about by the rapid development of the network, the rec om- mendation system not only saves time and manpower, but also has the appearance of data sparseness and cold start. Deep learning can acquire the in-depth characteristics of users and items, alleviate these shortcomings, and combine with traditional recommenda- tion methods to effectively enhance the recommendation effect. In this paper, the article features are processed by the stack-type noise reduction auto-encoder, the deeper hidden features of the article are extracted, and the recommendation is combined with the probability matrix in the collaborative filtering method, and the data set is used for verification. Experiments show that using a hy- brid recommendation method can improve the efficiency and accuracy of recommendation.

In the complex and dangerous environment, such as high temperature, severe cold, deep sea, outer space and so on, the mo- bile phone remote control grabbing robot is the key to realize the special environmental task. This design is composed of software and hardware. The main control module of the system is controlled by the APP installed on the smart phone, Arduino drive board, steering gear drive, Bluetooth bt-06 and power supply module. The robot can move forward, backward, turn left and right by control- ling the buttons on the mobile phone, and grasp and place the manipulator. The research shows that the robot controlled by Bluetooth is different from the traditional cable connection, which has the characteristics of high reliability, strong universality and low cost. Due to the elimination of cable, the volume of the machine is greatly reduced, and it has absolute advantages in a short distance range.

Bevel profile is a frequently used modeling method which uses two-dimensional graphics to generate irregular three-dimen- sional objects in 3ds Max. Bevel profile is widely used to create model in building design, interior decoration and other fields. In this paper, the working principle and application techniques of bevel profile are discussed in detail.