Application Of Information Fusion Technology Research Articles

Information fusion technology helps promote the teaching practice of art design specialty in colleges and universities

Abstract This study explores the application of information fusion technology in teaching art and design majors in colleges and universities, aiming to improve the teaching effect and students’ practical ability. The study adopts the flipped classroom teaching model and combines the multiple linear regression method to analyze the effectiveness of the teaching model. The model includes three stages: teaching preparation, teaching process and teaching reflection. The practice teaching system includes online and offline integration of on-campus practice, humanistic literacy practice, on-site participation practice and other multivariate systems. The study results showed that the students who adopted this teaching model scored 4.237, 4.388, and 4.186 (out of 5) in learning self-efficacy, learning adaptability, and learning engagement, respectively, indicating that the students were in the middle to upper level in these areas. The results of regression analysis showed that learning self-efficacy and learning adaptability had a significant positive effect on learning engagement. The conclusion indicates that the application of information fusion technology can significantly improve the learning self-efficacy, learning adaptability and learning engagement of art and design majors, thus improving the quality of teaching and students’ practical ability. This provides new perspectives and methods for teaching art design majors in colleges and universities.

Application of Information Integration Technology to Help Minority Traditional Arts in Chinese Painting Art Designs

Abstract This study utilizes the application of information fusion technology in the artistic design of Chinese paintings, especially exploring how to incorporate the elements of traditional ethnic minority art to enrich and develop the spatial aesthetic expression of Chinese paintings. The study first analyzes the differences in spatial artistic expression between Chinese and Western painting. It focuses on the spatial expression methods of Chinese painting and their application in ethnic minority traditional art. The mathematical model of minority art plane is constructed through the method of coordinate space and its transformation. The PAD emotional attribute model is used to quantitatively analyze the dynamic characteristics of Chinese painting art design works. The results show that the traditional elements of ethnic minorities incorporated in Chinese painting art design can effectively enrich the emotional expression of the paintings and enhance the aesthetic value of the art works. In 2022, the content of traditional elements of ethnic minorities in Chinese paintings increased by about 20 times compared with that in 2015, showing the increasing popularity of this art form. This study reveals the potential application value of information fusion technology in traditional art design and provides a new development direction for Chinese painting art design.

The application of information fusion technology in the cultivation of talents in fine arts majors

Abstract In this paper, we use information fusion technology to describe the problem formalization of art major talent cultivation and obtain the similarity coefficients and probability matrices of art major talent cultivation by calculating the ability level of art majors. On this basis, the art major talent cultivation path is proposed from two aspects: the planning of the art major cultivation path and the recommendation of a personalized art major academic talent cultivation path. The data set is selected, the experimental environment is determined, and the data analysis software is used to analyze the example of the ant colony optimization algorithm-based talent cultivation path planning for fine arts majors and the CNN-based talent cultivation path recommendation for fine arts majors. The results show that the teaching effect of mastering knowledge points is poor, and the duration has a more obvious change (598s), which confirms that the ant colony optimization algorithm can optimize the teaching duration of video knowledge points according to the situation of talent cultivation path of fine arts majors. CNN, in solving the problem of recommending the talent cultivation path of fine arts majors, compares with the genetic algorithm GA (0.662) and the original ant colony algorithm ACO (0.665); the most personalized learning path recommended is not only more suitable for the user’s learning style, but also in line with the actual learning sequence, and thus can help users efficiently achieve their career goals.

Research on the Application of Information Fusion Technology in the Choreography of Hezhen Dance

Abstract The difficulty of creating and choreographing group dances lies in the need for dozens or even hundreds of actors and choreographers to work together to complete the workload and its complexity. A computer-aided dance creation and choreography technology based on information fusion technology is proposed in this paper as a solution to this problem. The movement path is extracted from the movement trajectory of the character’s root joints using information fusion technology. The interactive interface is used to create the target path, which is then mapped to the dance movement. The actor’s dance is freely edited based on the characteristics of their body’s movement posture. To confirm the effectiveness of the method, the Herzhe ‘Fish Eagle Dance’ dance movements were tested with dance creation and choreography technology. The results show that the spatiality intensity of the first and second movement segments was found to be 0.1618 and 0.4555, respectively, during the choreography process. The standard and measured values of the movement angle of the left arm joints appeared to have the maximum difference value of 0.19771 between 9~10 s. The choreographers can use these resultant parameters to optimize the cumbersome, repetitive rehearsal process by providing data references.

Application of information fusion technology to build knowledge service model of university smart archives

Abstract Based on the SERVQUAL evaluation model, this paper examines the characteristics and service model of university archive services and establishes a knowledge service model framework for university smart archives. The service framework utilizes information fusion technology to quantitatively analyze the archive situation through the combination of 6 dimensions and 23 secondary indicators. One of the key points is to combine the whitening weight function of upper and lower limit measurements and the central whitening weight function to form a grey clustering algorithm in order to solve the “cliff” effect of the whitening weight function of the traditional upper and lower limit measurements. After the development of the system was completed, the index weights were first calculated by means of a questionnaire and then practiced in the school. The results show that responsiveness has the highest weight, 0.8612; security is second, 0.6321. And tangibility is the last, only 0.1792. The first college scored 0.461 in C1, and the second college scored only 1.87 in E1, which pulled the average score of the first-level index to 4.52. After the practice, the survey proved that the system meets the needs of the college and can point out areas for archive improvement. Archives improvement direction.

Application of information fusion technology in maize fertilizer utilization experiments

Abstract The article first utilizes the hyperspectral image grayscale, texture information, and reflectance spectral information at characteristic wavelengths to establish the corresponding quantitative analysis models of nutrient content in maize plants using three modeling methods, MLR, PCR, and PLS. Then from the basis of polarized reflection features, it was inferred that the polarization degree features at sensitive wavelengths were extracted using polarized spectra and combined with chemometric techniques to achieve a quantitative analysis of the degree of nutrient stress in maize. Finally, the feature variables extracted on the hyperspectral and polarized-reflection spectral measurement systems were fused with multiple information. A diagnostic evaluation model of fertilizer utilization with polarization-hyperspectral multidimensional light information was established. The results showed that for the new slow-release fertilizers, SF1 and YNPK had higher nitrogen utilization rates, 9.91% and 7.43% higher than N1PK, respectively. And the nitrogen fertilizer utilization rate was correspondingly higher by 6%-7% in 2020 than in 2019 for each fertilizer application treatment.

Application of Information Fusion Technology in Innovative Teaching of Music Theory Courses in Universities

Abstract In this paper, we first investigate the steps to implement a fusion algorithm that determines the quality function through fuzzy theory. Then, we utilize D-S evidence theory for decision-level fusion to identify the target data based on the collected data. The two algorithms, fuzzy theory and D-S evidence theory, are then combined. The affiliation function in fuzzy theory calculates the information collected from the sensors to find out the confidence level and patterns. Finally, the information fusion technology was analyzed in terms of its usage rate in music theory teaching, its impact on piano playing, and its impact on music theory teaching. In terms of utilization rate, 21 student teachers had information fusion technology utilization rate between 50% and 60%, and 21 student teachers had information fusion technology utilization rate between 50% and 60%. In terms of the impact of information fusion technology on the teaching of music theory, a comparative analysis of the pre and post test data T=−6.55 (P<0.0001) showed that the difference in the post test data was significantly higher than that of the pre test. This indicates that the facilitating effect of information fusion technology on music theory teaching is obvious.

Innovative Reform Strategies of Artistic Practice of College Ethnic Music Education Based on Information Fusion Technology

Abstract To seek the path and method of innovation and reform of art practice of ethnic music education in colleges and universities. Based on information fusion technology, this paper introduces the Kalman filter algorithm for analysis and recognition of ethnic music education in colleges and universities and understands the application of information fusion technology in ethnic music education in colleges and universities through the correct recognition rate and recognition time of music signals. We also apply independent experiential and problem-based experiments to verify the feasibility of information fusion technology in innovative reform. The experimental results show that the Kalman filter algorithm based on information fusion technology has a 96.57% correct recognition rate for ethnic music signals, and the recognition time is faster than the support vector machine and BP neural network by 3.587s and 1.291s on average. 73.47% of the students, on average, think that the innovative reform of art practice based on information fusion technology in college ethnic music education is very effective, which is higher than the original The average percentage of students who thought the effect of the innovation reform of folk music education based on information integration technology was very good was 73.47%, which was 60.37 percentage points higher than the original research results. The average percentage of students who thought it was ineffective was only 9.19%, 52.31 percentage points lower than the original research results. The above results prove the feasibility of information fusion technology in reforming art practice innovation in university ethnomusicology education and provide a new direction for reforming art practice innovation in university ethnomusicology education.

Analysis and Application of Data Mining Technology for College English Education Integration

With the development and application of information fusion technology, English education can realize intelligent application under multi-information fusion technology. In view of the low degree of educational informationization and single application of intelligent methods in the process of education, this paper puts forward the application of multi-technology in English education, so as to improve the education level and application skills. Firstly, this paper explains the educational application technology, especially the analysis of decision tree and linear regression method in data mining technology, and puts forward the framework and system structure diagram of English education system. In the experiment, the application of different methods is compared, and the results show that the decision number method has higher weight in weight analysis. According to the situation of different course quantity, 50%–80% of the course workload can be completed under multi-information fusion. However, in the amount of homework completion, most of the personnel can complete the homework, which has a good application effect. In different English majors, different research methods have different educational purposes and different teaching effects. Through the system interface and system performance testing, using the data mining method has better UI test results and shorter test time.

Design and Optimization of a Decision Support System for Sports Training Based on Data Mining Technology

This paper presents an in-depth study and analysis of sports training decision support systems through data mining techniques, and designs a corresponding sports training decision support system for application in practical situations. It investigates the application of data mining techniques in solving the problem of optimal analysis of sports training indicators. The Apriori algorithm is used to find out the hidden correlations behind the data, while the correlation study applicable to college students’ physical fitness indicators is proposed and practiced, and the potential hidden relationships between the indicator data are found. The analysis results are further verified by the improved AP algorithm, FP algorithm, which provides important opinions for college physical education curriculum reform and youth physical culture development. Then, the Shi-Tomasi algorithm is used for feature point tracking and the support vector machine approach for human motion posture recognition. Considering that the collected action data contain a large amount of stationary action data, a threshold-based action segmentation algorithm is designed to extract useful action segments; after extracting the action segments, common action features are extracted from both statistical features, such as mean, variance, skewness, kurtosis, and physical features, such as acceleration and plantar pressure, to give a specific description of human daily actions. Thus, the fatigue of different postures is judged according to their number of occurrences and a preliminary assessment result is obtained. Then, the surface EMG data collected by the sensors are pre-processed to reduce noise, and the surface EMG signals are fused at the feature level based on the wavelet change algorithm, and the feature vectors are trained with BP neural networks to evaluate the fatigue of human muscle movements and obtain a preliminary evaluation result. Finally, by studying the application of information fusion technology at the decision level, the assessment results of the comprehensive human movement analysis are obtained using D-S evidence theory. In addition, a web platform is built on this basis to display and manage human exercise data and assessment results, and to facilitate the storage and query of historical exercise records.

Multi-Sensor Information Fusion and Application

Technology of multi-sensor information fusion is an emerging discipline and its theories and methods have been applied in many research areas. In this paper, the model and structure of multi-sensor information fusion, major technologies and methods of information fusion, theoretical system of information fusion as well as application of information fusion technology are introduced and summarized.

The Application of Information Fusion Technology in Wireless Sensor Network

Sensor network is an important component of the Internet of Things and sensor network technology is a basic technique of it. Information perception, a main task of sensor network, provides users with valid and valuable statistics by collecting the information of things and screening them in accordance with the needs of the application purposes and processing the information through information fusion technology. The article, makes an analysis of the situation, problems, solving methods and future development of the application of information fusion technology in the wireless sensor network from the perspective of its theory, sorts, levels, fields, difference and safety to lay a good technique foundation of the perfection of sensor network and the further development of the internet of things.

The Application of Information Fusion Technology in the Intelligence Structure Safety Monitoring of Tunnel Engineering

This paper integrates the sensing technology, information science, artificial intelligence theory, computer technology and traditional structures safety monitoring theory, gives out a comprehensive system of the Tunnel engineering structure safety monitoring which integrated with the safety of the structure information extraction, comprehensive processing and analysis, structure diagnosis and safety evaluation process. Established a set of scientific and reasonable theory and method of structure safety monitoring of tunnel project.