Liaoning region is selected as the study area, and its meteorological data from 1974 to 2024 are used as the study samples. Based on the four indicators, SPI, SPEI, EDDI and CJDI, the normalized composite drought characteristic indicators were constructed by using the CVine joint function and entropy weighted TOPSIS, so as to explore the drought calendar and drought intensity in the Liaoning region, and to analyze the spatial and temporal evolution of the drought cycle. The results showed that the Kendall and Spearman rank correlation coefficients reached above 0.60 and 0.73, respectively, and therefore, the drought duration and drought intensity were strongly correlated. The normalized composite drought characteristics index had a significant negative correlation association with SPI (P<0.01). The normalized composite drought characteristic index has a significant positive correlation association with SPIE (P<0.05). SPI and SPEI are one of the important reasons to study the spatial distribution and temporal pattern of regional drought.

This study focuses on the construction of Spring Festival Gala mascot culture using intelligent computational modeling, so as to explore the brand innovation and communication path of Chinese intangible cultural heritage. The Apriori algorithm is utilized to extract the features of intangible cultural heritage in the mascot design, and at the same time, the association rules between different intangible cultural heritage features are mined and integrated into the design. The traditional Apriori algorithm is improved based on Boolean matrix and adaptive updating support calculation strategy to ensure its effectiveness and innovativeness for mascot design. Combined with the theory of propagation dynamics, the propagation model of this paper is constructed by adding the node of latent propagator on the basis of the traditional model of infectious disease (SIR). And in order to enhance the influence of the mascot in the communication network, this paper proposes a mascot accurate recommendation model for its further dissemination. The research results show that the method of this paper can effectively extract the non-heritage cultural features and association rules in the Spring Festival Gala mascot, and the Spring Festival Gala mascot designed by the method of this paper can ensure high economic benefits under the premise of high quality. In addition, the communication model and precise recommendation method constructed in this paper can also give full play to the communication role and effectively communicate the Spring Festival Gala mascot and the non-heritage cultural elements it carries.

Under the background of the digital era, the self-media platform breaks the information barriers between the communicators and the receivers, effectively alleviating the information asymmetry problem between the two. Through observation and research, this paper finds that the current channels for receivers to obtain digital information can be divided into user-generated content (UGC), professional-generated content (PGC), and brand-generated content (BGC) according to the classification of the main body, but most of the managers are negligent in the management of these digital contents, and do not really utilize the value of their dissemination. Digital content generation and dissemination based on natural language processing (NLP) technology has become an important way to solve this problem. The method is based on the unified processing of a large amount of corpus, input Word2vec model and Skip-gram model two types of language models for training, with the obtained language model for the required text can be obtained word vectors, the different lengths of the text will be unified vectorization. By introducing evaluation indexes such as dissemination efficiency, content quality and coverage, the effect of generated content can be measured objectively. The value of generating digital content to improve the dissemination efficiency is verified through the evaluation of the actual effect.

The computer programs designed for music creation are analyzed to integrate computer software into music creation. Then a computer program utilizing JavaScript is introduced, including the theoretical basis of JavaScript, the identifiers, and the basic syntax. Finally, the characteristics of JavaScripts in Max software are studied, and JazzB JavaScript objects are used to program and analyze the morphological changes of the rhythm structure of jazz. The results show that the designed jazzy structure includes many jazz instruments such as the piano, the guitar, the bass, and the saxophone; the rhythm of the melody varies five times, from 128 beats per minute in the beginning to 132 beats per minute in the end. In the whole melody, electro-acoustic instruments account for 62.5%, acoustic instruments account for 25%, and synthetic instruments account for 12.5%. Hence, the contents of the music is enriched and condensed, while its texture is also ensured. The accuracy of JavaScript has reached the last 5 decimal places and the running speed is Millisecond (105ms), which is more powerful than other programming languages. When using it for the design of music structure, it can have a better use experience, which is of great significance in promoting music design.

The computer programs designed for music creation are analyzed to integrate computer software into music creation. Then a computer program utilizing JavaScript is introduced, including the theoretical basis of JavaScript, the identifiers, and the basic syntax. Finally, the characteristics of JavaScripts in Max software are studied, and JazzB JavaScript objects are used to program and analyze the morphological changes of the rhythm structure of jazz. The results show that the designed jazzy structure includes many jazz instruments such as the piano, the guitar, the bass, and the saxophone; the rhythm of the melody varies five times, from 128 beats per minute in the beginning to 132 beats per minute in the end. In the whole melody, electro-acoustic instruments account for 62.5%, acoustic instruments account for 25%, and synthetic instruments account for 12.5%. Hence, the contents of the music is enriched and condensed, while its texture is also ensured. The accuracy of JavaScript has reached the last 5 decimal places and the running speed is Millisecond (105ms), which is more powerful than other programming languages. When using it for the design of music structure, it can have a better use experience, which is of great significance in promoting music design.

The computer programs designed for music creation are analyzed to integrate computer software into music creation. Then a computer program utilizing JavaScript is introduced, including the theoretical basis of JavaScript, the identifiers, and the basic syntax. Finally, the characteristics of JavaScripts in Max software are studied, and JazzB JavaScript objects are used to program and analyze the morphological changes of the rhythm structure of jazz. The results show that the designed jazzy structure includes many jazz instruments such as the piano, the guitar, the bass, and the saxophone; the rhythm of the melody varies five times, from 128 beats per minute in the beginning to 132 beats per minute in the end. In the whole melody, electro-acoustic instruments account for 62.5%, acoustic instruments account for 25%, and synthetic instruments account for 12.5%. Hence, the contents of the music is enriched and condensed, while its texture is also ensured. The accuracy of JavaScript has reached the last 5 decimal places and the running speed is Millisecond (105ms), which is more powerful than other programming languages. When using it for the design of music structure, it can have a better use experience, which is of great significance in promoting music design.

The computer programs designed for music creation are analyzed to integrate computer software into music creation. Then a computer program utilizing JavaScript is introduced, including the theoretical basis of JavaScript, the identifiers, and the basic syntax. Finally, the characteristics of JavaScripts in Max software are studied, and JazzB JavaScript objects are used to program and analyze the morphological changes of the rhythm structure of jazz. The results show that the designed jazzy structure includes many jazz instruments such as the piano, the guitar, the bass, and the saxophone; the rhythm of the melody varies five times, from 128 beats per minute in the beginning to 132 beats per minute in the end. In the whole melody, electro-acoustic instruments account for 62.5%, acoustic instruments account for 25%, and synthetic instruments account for 12.5%. Hence, the contents of the music is enriched and condensed, while its texture is also ensured. The accuracy of JavaScript has reached the last 5 decimal places and the running speed is Millisecond (105ms), which is more powerful than other programming languages. When using it for the design of music structure, it can have a better use experience, which is of great significance in promoting music design.

In order to realize the quantitative management of the quality of higher education, this paper puts forward an evaluation model of auxiliary employability of special people under the concept of public employment service based on AHP-FUZZY algorithm. The phase space distribution structure model of special people’s auxiliary employability under the concept of public employment service is constructed, the index parameter set of special people’s auxiliary employability under the concept of public employment service is established, the fuzzy association rule distribution set is constructed by principal component analysis and fuzzy parameter estimation, and the association rule characteristic quantity of special people’s auxiliary employability under the concept of public employment service is extracted. Advanced statistical analysis methods, such as principal component analysis, big data fusion analysis and fuzzy detection model, are adopted to classify the multi-dimensional attribute features of special people’s auxiliary employability under the concept of public employment service, and the data is partitioned and scheduled in the fuzzy clustering center according to the differences of statistical feature parameters of employability analysis reports, and the feature decomposition model of special people’s auxiliary employability under the concept of public employment service is constructed. The auxiliary employability of special people under the concept of public employment service is fused by blocks and the regional structural parameters are reorganized. The binary structural characteristics of auxiliary employability analysis of special people under the concept of public employment service are reconstructed in the subspace fusion database. According to the reconstruction results, fuzzy clustering is carried out under principal component analysis and fuzzy parameter estimation, and the optimal evaluation of auxiliary employability of special people under the concept of public employment service is realized. Based on SPSS statistical analysis software and Matlab simulation tool, the empirical simulation analysis of the evaluation shows that the characteristic clustering of the evaluation of the auxiliary employability of special population under the concept of public employment service is good, the reliability of the evaluation is high, and the parameter analysis of the evaluation index of the auxiliary employability of special population is accurate and reliable.

cIn order to realize the optimal distribution of university management power under the overall planning and scheduling mode, an evaluation model of university management power distribution balance based on analytic hierarchy process (AHP) is put forward, and a method based on the integration of Internet thinking and technology, a sampling model of characteristic information of university management power distribution balance under the overall planning and scheduling mode, According to the quantitative recursive analysis results of the sample data of university management power distribution balance under the overall planning and scheduling mode, the information fusion of university management power distribution under the overall planning and scheduling mode is carried out, the association rule fusion characteristic distribution parameter set of the panel data of university management power distribution balance under the overall planning and scheduling mode is extracted, and the data fusion of university management power distribution balance under the overall planning and scheduling mode is carried out by combining the joint statistical probability density distribution detection method. Combined with the piecewise linear estimation method, this paper constructs the statistical characteristics of the equilibrium evaluation of university management power distribution under the overall planning and scheduling mode, analyzes the equilibrium characteristics of university management power distribution under the overall planning and scheduling mode according to the quantitative recursive analysis results of prior samples, extracts the equilibrium characteristics of university management power distribution under the overall planning and scheduling mode, and clusters the information of the equilibrium characteristics of university management power distribution under the overall planning and scheduling mode by structural characteristics extraction and fusion clustering methods. According to the results of distributed integration of features, it evaluates the balance of management power distribution in colleges and universities under the overall planning and scheduling mode. The simulation results show that this method has high accuracy and good confidence in evaluating the balance of management power distribution in colleges and universities under the overall planning and scheduling mode, and improves the ability of managing and controlling the balance of management power distribution in colleges and universities under the overall planning and scheduling mode.

cIn order to realize the optimal distribution of university management power under the overall planning and scheduling mode, an evaluation model of university management power distribution balance based on analytic hierarchy process (AHP) is put forward, and a method based on the integration of Internet thinking and technology, a sampling model of characteristic information of university management power distribution balance under the overall planning and scheduling mode, According to the quantitative recursive analysis results of the sample data of university management power distribution balance under the overall planning and scheduling mode, the information fusion of university management power distribution under the overall planning and scheduling mode is carried out, the association rule fusion characteristic distribution parameter set of the panel data of university management power distribution balance under the overall planning and scheduling mode is extracted, and the data fusion of university management power distribution balance under the overall planning and scheduling mode is carried out by combining the joint statistical probability density distribution detection method. Combined with the piecewise linear estimation method, this paper constructs the statistical characteristics of the equilibrium evaluation of university management power distribution under the overall planning and scheduling mode, analyzes the equilibrium characteristics of university management power distribution under the overall planning and scheduling mode according to the quantitative recursive analysis results of prior samples, extracts the equilibrium characteristics of university management power distribution under the overall planning and scheduling mode, and clusters the information of the equilibrium characteristics of university management power distribution under the overall planning and scheduling mode by structural characteristics extraction and fusion clustering methods. According to the results of distributed integration of features, it evaluates the balance of management power distribution in colleges and universities under the overall planning and scheduling mode. The simulation results show that this method has high accuracy and good confidence in evaluating the balance of management power distribution in colleges and universities under the overall planning and scheduling mode, and improves the ability of managing and controlling the balance of management power distribution in colleges and universities under the overall planning and scheduling mode.