The integration of Augmented Reality into university teaching can create a new intelligent learning environment with the

integration of the virtuality and the reality. This research analyzes the advantages of AR in 3D situational teaching in smart class

room, combines the specific teaching content, takes the design of the application of AR in teaching as the carrier, promotes the teaching effect of university smart classroom through exploration in application, and promotes the vigorous development and continuous renewal of university teaching.

The information technology textbook compiled according to the new curriculum standard of senior high school takes the

discipline core literacy as the training goal and the unit activity as the main learning method. Around the big concept of discipline,

eight module courses are set up which are data and computing, information system and society, compulsory and selective compulsory courses, artificial intelligence course and so on. Teaching design is the premise of teaching organization and the concentrated embodiment of new ideas and methods. What is the current situation of information technology classroom teaching in our province?

Are they ready to meet these preparations for change? We try to find the answers to these questions through the questionnaire, and also find a way to quickly solve the problems for technical teachers.

Case competition is the integration of technology and professional knowledge and promotes the reform of university culture education and teaching. This paper shares the process and results of case competition as a diversified educational approach of

computer network. This paper introduces the procedure of case competition, students' performance, harvest and feedback in detail. The case competition provides students with an opportunity to show themselves and allow them to exchange and discuss the theme of computer network diversity in an open and fair environment. The main task is to provide solutions to the problems related to computer network courses. Through the design of computer network case competition, it has a subtle impact on diversified education and teaching. Teachers are required to constantly update their comprehensive knowledge and enrich their teaching means. Students are required to think comprehensively and creatively about the theme of future network development in order to produce evidence-based solutions.

With the gradual advancement of Hainan's construction of an international free trade port, the ecological environment quality of Hainan Island has been paid more and more attention by the majority of islanders. The dust pollution and noise pollution

caused by construction, air pollution caused by production and life, and water environment pollution caused by wastewater discharge

have brought great challenges to the ecological environment of Hainan. The ecological environment monitoring system adopts integrated sensor monitoring, which has the functions of monitoring temperature, humidity, PM2.5, noise, wind direction and wind

speed at the same time, setting the upper limit of PM2.5 content by pressing the key and linkage audible and visual alarm.

STC89C52 single chip microcomputer is used as the central processing module, C language is used as the development language,

Keil software is used to write and debug the program.

In view of the problem that online and offline teaching is relatively isolated and there is no real integration in the process

of information-based blended teaching reform in higher vocational colleges, this paper analyzes the dilemma and connotation of the current blended teaching reform, puts forward the integration of "student-centered" teaching concept into the teaching process, the integration of information technology into diversified teaching methods. It proposes to establish a mixed teaching management, monitoring and evaluation system, and improve the performance appraisal and incentive system.

With the rapid development of network, cyberspace has become the fifth largest sovereign space in China. People's daily

life is gradually inseparable from the Internet. Due to the immaturity of technology and cognition, many crimes have occurred. This paper analyzes the new characteristics of cybercrime, such as technology, intelligence and concealment, which bring many difficulties to investigation and evidence collection. The relationship between investigation and evidence collection and cyberspace governance, as well as the increasingly serious cybercrimes, pose a major challenge to cyberspace governance. In view of these challenges, this paper proposes to improve the review rules and enhance the effectiveness of evidence from the perspective of investigation and evidence collection; strengthen the supervision of the platform and other further cyberspace governance countermeasures to provide a new path for governing the network according to law.

The macro virus is a virus that exists in the Office document. Although the traditional anti-virus software can scan the existing macro viruses, there are still shortcomings in the new macro virus. By using the method of machine learning, a new macro feature selection method is proposed by comparing the characteristics of normal macro and harmful macro, and the SVM algorithm is

used to train the classification model. Combined with the classification model and the macro's own virus characteristics, we can

make a comprehensive judgment, so that we can predict the new macro categories. The experimental results show that the success rate can achieve 83.61% in this model.

This paper mainly uses Docker technology, Spring framework, Nginx, AdminMongo, Redis- Manager and other open

source projects to build a comprehensive teaching and training platform suitable for computer related majors such as big data tech

nology through integrated design. The comprehensive training platform can complete classroom teaching, student training, practice examination, skill competition training, 1 + X certificate practice and other activities of big data related courses only using the browser, which greatly reduces the construction cost of professional training room and improves the efficiency and quality of teaching between teachers and students.

5G network is accelerating the deployment all over the world. 5G is considered to be one of the keys to the upgrading of

personal consumption experience and the transformation of industry digital intelligence. Major economies all over the world clearly

require 5G as an important link in the development of long-term industrial and social infrastructure. Firstly, this paper analyzes the

development status of 5G, the driving force and trend of network evolution; then carries out in-depth research on some key technologies of network evolution; finally summarizes the key points of the article, and looks forward to some identified technical directions that need to be further studied.

Delphi method, Analytic Hierarchy Process and entropy weight method are used to construct the risk factor evaluation system and determine the index weight of T Company’s software project implementation. A set of risk factor evaluation index system

for software project implementation is constructed, which is composed of four primary indexes of financial risk, technical risk, management risk and external risk, and 20 secondary indexes of demand risk, function realization risk, internal personnel risk and customer personnel risk and so on. A set of risk factor evaluation index system for software project implementation is established, improving the risk management level of T Company’s software project implementation, and providing guarantee for the smooth implementation of the project.

Based on the new digital infrastructure, this paper researches on the construction of the wisdom campus cloud platform for

Guangdong technical colleges, using cloud computing, cloud storage, cloud server, middleware and other digital infrastructure, to explore a new model of smart campus that fits the "smart social society" system. It builds a national benchmark of "smart social society--smart campus", providing a strong platform and data support for the implementation of the three key projects of "Cantonese Cuisine Master" "Guangdong Technician" and "Southern Guangdong Housekeeping".

The software-defined network method can realize the unified deployment and management of network resources, which

can not only reduce the workload of manual configuration, but also reduce the impact of network failures caused by manual configuration errors. The programming of network resources uses the Python scripting language to create HTTP GET and PUT request methods, communicate with the programming interface provided by the network device, and perform addition, deletion, modification, and check of network device resources, so as to realize the automatic deployment and management of resources.

In order to predict Cooling Load, an Empirical Mode Decomposition(EMD), Phase Space Reconstruction(PSR) based on

Radial Basis Function Neural Network(RBFNN) ensemble learning paradigm is proposed. The original Cooling Load series are decomposed into a finite number of independent intrinsic mode functions with different frequencies, and then grouped by component method into various sub-components of the high-frequency, low-frequency component of the total, the remainder. Then different RBFNN models are used to model based on PSR, forecast the all sub-series, according to the intrinsic characteristic time scales. All fore casting results are combined to output the ultimate result. This model is applied to Cooling Load tendency forecasting. The results

prove that the finally forecasting performance outperforms the RBFNN, SVM, LSSVM, SVM based on EMD and SVM based on

EMD ahead forecasting.

This paper mainly uses the Rasa open source framework to design and implement the electricity charge query and fault repair dialogue system for a power customer service center. It introduces two modules of RasaNLU and RasaCore of Rasa system development framework, then introduces the system design and implementation methods in detail, including system organization architecture, intention and entity slot design, natural language understanding module design, dialogue management design, etc. It describes the development method of a joint model of intention recognition and slot filling as a Rasa framework component, and finally displays the system Web page.

With the rapid development of industrial modernization and computer network technology, automatic control technology is

used more and more widely. Drugs are indispensable materials in our daily life, which are inseparable from individuals, families,

hospitals and countries. However, the traditional drug dispensing process is mostly under manual control, it is necessary to adjust the ratio of each material according to the production situation to calculate the ideal material quantity of each material, and adjust the equipment parameters step by step to meet the ratio requirements. Once the external conditions change, the production process needs

to be reset. The calculation operation takes a long time and is prone to errors, which brings adverse factors to production. Therefore,

the automatic drug dispensing system is particularly important. This system uses Siemens S7-200 as the main controller to realize

the automatic dispensing of drugs.