Paper map and scanned map are the traditional way of map preservation. These methods make spatial query and analysis difficult. It is necessary to vectorize these maps to facilitate the query and analysis of historical geospatial data. However, the traditional vectorization method is time-consuming and labor-consuming, and cannot meet the actual needs. Therefore, this paper proposes an automatic map vectorization method based on boundary tracking. Firstly, the map is grayed and binarized; then the raster to

vector method is applied to the binary map; finally, based on four maps, the extraction effect of this method is compared with common methods. The experimental results show that this method can extract all map lines completely, and can effectively separate the text in the map.

The "New Engineering Course" puts forward new requirements for the core competence of talents. This article integrates the core values of socialism into the personal effectiveness and social competence of the core literacy of the New Engineering Course, introduces curriculum ideology and politics into the whole process of education and teaching, and rebuilds the professional education system, to meet the requirements of engineering certification well, and to meet the needs of strengthening ideological and theoretical education and value guidance. It hopes to provide new theoretical and practical basis for the transformation of traditional engineering majors and the establishment and development of emerging engineering majors in colleges and universities.

This paper uses Python third-party library Requests to crawl the housing data of second-hand housing websites, uses Pandas library to structurally process the crawled data, and uses Pyechards library to conduct multi-dimensional in-depth analysis and visual presentation of second-hand housing data. From a large number of online data, this paper analyzes the distribution of secondhand houses, market hot spots and price trend in Nanjing, helps buyers and real estate agents to make efficient decisions in market activities, and provides reference for government intervention and supervision of the second-hand housing market.

Network security is a major challenge faced by industrial control systems today, and on the basis of good technical protection, network security must rely on the improvement of management. This paper researches on the realization of a dynamic industrial control system network security management cycle based on the PDCA model, and introduces the industrial control system network security management practice implemented in A Company. By constructing a network security management system framework, it establishes a complete management system library for unified management, revises and improves the existing system clauses, formulates the basis for reviewing the implementation of the system in key links, conducts regular network security managementself-examinations, and monitors implementations of the system so as to verify the rationality and applicability of the management system, and finally achieve continuous network security.

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.

According to the Information Theory research and teaching characteristics, we add course ideological and political teaching into the curriculum in the course objectives, content, examination and other aspects. With speaking Chinese story well as the main line, the basic teaching of information major and the course ideological and political teaching are seamlessly connected. It has practical guiding significance to the ideological and political work of similar courses in colleges and universities in China.

In order to improve the shortage of information technology application in vocational education assessment, a special sys

tem design for skill assessment of key posts of urban rail transit operation based on mobile APP is proposed. By analyzing the functional requirements, this paper designs the minimum configuration standard of the hardware operation platform of the post skill assessment system, decomposes the system functions, and designs six functional modules such as system management module and human-computer interaction interfaces such as home page flash page. Through the system test, it shows that the designed post skill assessment system meets the actual needs of subway driver order classes in terms of function, performance and adaptability. It has the characteristics of convenience and quickness.

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.

Based on the CNN model, a gesture recognition algorithm named Add_Layer_CNN (A_L_CNN for short) is proposed,

which is a three-layer extraction and anti-overfitting gesture recognition algorithm based on neural network CNN. A_L_CNN changes the single-layer convolution pooling in the traditional CNN model to three-layer convolution cubic pooling structurally, and adds the Dropout (random deactivation) layer to prevent overfitting. A_L_CNN is compared with traditional CNN and SVM. Experimental results in multiple test sets show that the average accuracy of the proposed A_L_CNN model is about 98.56%, that of the traditional CNN model is about 96.11%, and that of the SVM model is about 87.25%. Therefore, the accuracy of the proposed A_L_CNN model is higher.

This paper analyzes the importance of integrating ideological and political elements into professional courses

for the construction of vocational and technical ability and ideological and political education of military cadets,

introduces the ideas of ideological and political construction of courses and teaching design, and designs and implements

the practical teaching case of Web Design and Website Management. The conclusion emphasizes the ideas of ideological

and political construction of the curriculum and the attention points of teaching design, which will provide reference for

the teaching reform of more programming courses in the future.

Although Convolutional Neural Networks (CNN) can extract local features and Long-term Short-term Memory Networks

(LSTM) can extract global features, which show good classification results, CNN has some shortcomings in obtaining contextual

global information of text, and LSTM tends to ignore the hidden feature information between words. Therefore, this paper proposes

to use the CNN_BiLSTM_Attention parallel model for text sentiment classification. First, CNN is used to extract local features,

while BiLSTM is used to extract global features with contextual semantic information, and then the features extracted from the two

are spliced together for feature fusion. This method allows the model to capture both local phrase-level features and contextual struc

ture information, and use the attention mechanism to assign different weights to the importance of feature words, thereby improving

the classification effect of the model. By combining with a single model such as CNN or LSTM, the CNN_BiLSTM_Attention paral

lel model proposed in this paper has improved comprehensive evaluation index F1 score and accuracy. The experimental results

show that the model proposed in this paper has achieved better results in text sentiment classification tasks than other neural net

works, and has better practical value.

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.

In this paper, the two-dimensional coherent DOA estimation algorithm based on the TOEPLITZ matrix reconstruction is designed for real-time regulatory drones, and the virtual line array model is established to receive the drone coherent signal, and the

signal is realized by matrixing the covariance matrix. The Toeplitz matrix is built, and the two- dimensional DOA estimation for

drone signals is achieved by calculating spatial spectrum. Simulation analysis shows that the DOA estimation accuracy rate of this

paper is high and better performance.

In response to the requirements of the Ministry of Education to deepen the education and teaching reform boosted by information technology, it is a research with practical guiding significance to provide optimized support for the teaching process of the existing

hybrid teaching with the help of big data application technology. The article introduces the main problems in the teaching process in the absence of big data analysis, and analyzes the connection between big data, proposes the use of statistical analysis of big data to reconstruct the teaching design of the blended teaching mode, forming a student-centered curriculum data link of the blended teaching mode, and improving and optimizing the teaching strategy of the curriculum. The data of teaching evaluation and feedback proves that the effect of optimization implementation is ideal, which reflects the precision teaching and multi-dimensional teaching evaluation.