ABM simulation is one of the most important methods in the research of complex system, and the existing ABM modelinglanguage has limitations. Mesa is an ABM simulation framework with Python development. It not only has the advantages of tradi-tional ABM simulation tools, but also can make full use of Python's powerful functions in data statistical analysis, mining and visual-ization. This paper shows the powerful functions of mesa through examples, which provides a new choice and entry way for ABMsimulation research.

Information literacy competition has accelerated teaching method transformation of information literacy education. With the goal of training high quality technical and skilled talents students, developing information literacy is necessary. This paper analyzes the present situation of information literacy education in higher vocational colleges and puts forward the suggestion on classcompetition integration

Jupyter notebook is an interactive notebook editing platform, which supports a variety of programming languages, and is very easy to learn. Students can learn knowledge using it while practicing and editing. Based on the Jupyter platform, this paper makes a systematic analysis and researches on the scheme for the problems in the teaching and learning process of data mining. It mainly expounds the links of syllabus, classroom organization, and assessment means, to inspire teachers' thinking of data mining, expand the scope and depth of teaching research.

With the rapid development of information network and intelligent control technology, smart grid emerges as the times require, and its development cannot be achieved without a stable communication support platform. The emerging 5G communication network contributes well to intelligent grid by greatly improving reliability and efficiency due to its super large connectivity, ultralow delay, ultra-high bandwidth and other characteristics. In view that the existing communication support methods cannot meet the needs of front-line electricity workers in the actual work, this paper establishes a 5G smart grid communication support platform after conducting a comprehensive research and design from the aspects of network architecture, overall framework and functional structure. The 5G smart grid support platform not only can integrate the original scattered and inefficient communication systems but also can realize the centralized management of each function module of the communication system. What’s more, it proves an effective solution for company’s communication and offers a convenient, fast and efficient communication platform for front-line operators

Professionals are the key factors for any country and the world. As a strategic supporting means of cultural exchange, international student education has become a ubiquitous competition zone among developed countries. In terms of our country, it is an important newly motivation and innovation in the development of higher education, and part of diplomatic infrastructure. This paper analyses the difficulties and struggles encountered by foreign students in computer courses, targeting those in medical related fields in our university and concerning computer courses plan and the real teaching situation among foreign students, and elaborates the characteristics of foreign student group and, the teaching progress under case guidance and independent learning.

This paper proposes a clustering- based DDoS attack detection method for application layer. Firstly, the method collects web server network traffic, and selects four attributes to form the traffic feature vector after data preprocessing. Then, the K-means clustering algorithm optimized by particle swarm optimization is used to establish the detection model, and the attack behavior is identified through the model. Experimental results show that this method can effectively identify DDoS attacks in application layer and has higher detection rate compared with k-means algorithm.

Big data technology has been widely used in all walks of life. Cultivating high-quality big data technology talents has become a problem in the major universities. This paper analyzes the professional characteristics of big data technology and application, clarifies the market demand for professional talent training. Combining with the CDIO engineering education concept, it sets up the courses of big data technology and application majors in higher vocational colleges, builds a practical teaching system based on CDIO mode under the background of new engineering, and cultivates the engineering concept, engineering practice ability, teamwork and communication ability of higher vocational students

ABM simulation is one of the most important methods in the research of complex system, and the existing ABM modeling language has limitations. Mesa is an ABM simulation framework with Python development. It not only has the advantages of traditional ABM simulation tools, but also can make full use of Python's powerful functions in data statistical analysis, mining and visualization. This paper shows the powerful functions of mesa through examples, which provides a new choice and entry way for ABM simulation research.

Under the normalization of the epidemic, the traditional offline teaching has been unable to meet the diversified learningneeds of students, online and offline blended teaching has become a new upsurge. Among them, flipped classroom is an effectivestrategy for online and offline blended teaching. However, it has exposed some problems while improving students learning initia-tive and managing fragmentation time. Therefore, this paper discusses on the problems existing in the practice of Analog ElectronicCircuits in flipped classroom, and puts forward corresponding measures to solve these problems, so as to enrich teaching resourcesand achieve better teaching effect.

At present, as the provincial access business volume of the headquarters information billing system is not large, the infor-mation billing system carries the overall business volume through multiple logical business processing nodes. If any node fails, theprovincial access side is required to have load balance disaster capacity. The project supports the business load balancingof the ac-cess node and realizes the support capacity expansion of the message charging system.

In response to the increasing demand for prevention and control of communication fraud cases, an anti-fraud model based on operator big data is proposed to identify fraudulent users. This model uses operator big data to analyze user information and extract typical characteristics of telecom fraud and builds an anti-fraud model based on machine learning algorithms. In addition, the performance of the model is evaluated based on the 360 network platform data, showing that the model can effectively identify fraudulent users with high accuracy.

In order to improve the risk management level of big data application projects in telecommunication industry, this paper proposes a risk assessment model which combines analytic hierarchy process with entropy weight method. Take a telecom operator's big data application platform project as an example, it establishes a project risk index system and uses assessment model to evaluate the importance of project risk

The filtering of the data collected by ECG, QRS detection and wavelength measurement can greatly shorten the time for doctors to find abnormal waveforms in a large number of ECG waveforms and improve their working efficiency. In this paper, a realtime ECG QRS detection method based on the differential zero-crossing detection method is proposed. First, the baseline deviation and high- frequency interference of the original signal are filtered out, and then the QRS features are extracted from the signal through the steps of difference and nonlinear mapping. The experiment proves that this method is suitable for practical application.

Taking the control of the vehicle's active suspension as the research object, the vehicle body's vertical runout, vehicle body pitch and roll vibration are regulated, and the SIMS strap-down inertial measurement technology is used to collect body attitude data in real time to establish a 7-degree-of-freedom vehicle dynamic model. The large-scale system decentralized control is introduced to decentralize the entire vehicle control into four 1?4 car body vertical control. Simulation analysis proves that the SIMS-based vehicle active suspension control technology proposed in this paper can effectively control the body attitude change, and improve the dynamic performance of the vehicle

The COVID-19 epidemic is still continuing. Although production and life have been resumed, the need for less contact, keeping distance, and monitoring body temperature has become the norm. In order to meet the needs of epidemic prevention, a face recognition access control terminal with body temperature detection function came into being. This equipment has the advantages of low cost, fast temperature measurement, no contact, automatic recording, etc., and has been widely used

With the rapid and comprehensive development of mobile Internet, people hope to obtain uninterrupted mobile communi-cation services all over the world in4G or5G network, including subscription and cancellation of packages, usage query of packag-es, traffic usage query and other services. Based on Jenkins open source tool, this paper builds a set of platform to provide continuou-ly online services for mobile communication business system, which can shorten the online time and provide normal external servic-es during the online period when the business online changes.

Textbooks and teaching methods are important parts of the education reformand play an important role in the cultivationof students' ability.Taking the course Electrical Technology and Application as an example, this paper studies the development of anew form of loose-leaf teaching material based on the excellent online open course and the combination of online and offline teach-ing.In order to stimulate the interest of students, guide the independent learning, comprehensively improve the learning ability of stu-dents, strengthen the practical ability and innovative thinking, and cultivate high-quality workers and skilled personnel with moraland technical skills.