bluuebunny/crossref_metadata_2025_split huggingface dataset:
Power Load Forecasting Model Based on Deep Neural Network
Authors: Yuan Jian , Wang Jiaying , Cheng Qing , Sun Jianqiao 
Published: April 2021

Abstract
Aiming at the problems of the traditional power load forecasting model, based on the analysis of the traditional DNN neural network model, a PSO dual improvement and optimization power load forecasting model is proposed. In this model, the discrete particle swarm algorithm is used to determine the DNN network architecture, and then the particle swarm algorithm is used to optimize the parameters of the neural network to obtain a model with the best structure and parameters. Finally, it is verified by simulation, and the results show that the above method is feasible and has high prediction accuracy.
Research on Talent Cultivation Methods of Public Art Courses in Universities Based on Information Technology
Authors: Zhang Jing 
Published: April 2021

Abstract
In recent years, under the development of information technology(IFT), the work of high-efficiency education reform has been gradually carried out. IFT is widely used in various courses of higher education. However, art courses are no exception, and IFT is also highly effective talents. The training model has a great effect. Based on the blessing of IFT, this article studies the talent training model of public art courses in my country’s colleges and universities(CAU), and proposes some innovative talent training models, which have greatly promoted the training of IFT in the public art courses of universities. Application in the pattern. Based on years of practical work experience in CAU, this article attempts to analyze the existing problems and specific solutions of IFT teaching in the current information teaching of university public art courses. Therefore, this article first analyzes the advantages of IFT in the teaching of public art courses in CAU, then analyzes the shortcomings in the teaching process of public art courses in CAU, and finally discusses the application strategies of IFT in college public art courses. Carry out the teaching of public art courses in CAU, and cultivate high-quality talents who keep pace with the times. The teaching advantages of public art education courses from the perspective of IFT are discussed, and then the problems and countermeasures in the teaching of public art courses from the IFT perspective are discussed. Result analysis statement, Continue to deepen the informatization of teaching reform and give full play to the application of informatization technology in the teaching of public art courses in CAU.
Research on the Application of Artificial Intelligence Technology in Island Tourism
Authors: Zhang Yingchao , Pei Yingying 
Published: April 2021

Abstract
In this paper, the specific application of artificial intelligence technology in the field of island tourism is launched, and an intelligent recommendation system for island tourism is designed. The system considers the data characteristics of island tourism activities and the influence of geospatial factors. First, the relationship between the data is clarified by constructing the island tourism information ontology, and then geographic information data system (GIS) is added to the system architecture design. In terms of algorithm, artificial intelligence algorithm is used in combination with different recommendation methods. Finally, the feasibility of the scheme is proved through experiments.
A Study on the Integrated Development of Artificial Intelligence and Tourism from the Perspective of Smart Tourism
Authors: Pei Yingying , Zhang Yingchao 
Published: April 2021

Abstract
In order to provide better travel experience for users under smart tourism, a data model that can be used for tourism analysis which is constructed by combining big data, Hadoop and crawler technology. Then, we combine with Item-based recommendation algorithm and the technology collected by crawler technology based on this model. It can provide an example of the specific integration application of big data analysis model and tourism. The results showed that the analysis model can highly recommend scenic spots favored by tourists. So it can provide reference for the integration of ARTIFICIAL intelligence and tourism, as well as a concrete example for the integration of artificial intelligence and tourism in the future.
Construction of College English Teaching Model in the Era of Artificial Intelligence
Authors: Zheng Huixi , Miao Jing 
Published: April 2021

Abstract
The development of artificial intelligence (AI) technology provides new thoughts and ideas for the reform of English teaching(ET) mode. This article understands the related knowledge of AI technology and ecological pedagogy, and studies and analyses the current situation of college ET in my country, and discusses how to use AI technology to reform my country’s ET model. Relying on data mining technology and deep learning algorithms in AI, the ET model gradually develops in a better direction, making it a virtuous circle.
Research on Artificial Intelligence-based English Writing Blended Teaching Mode
Authors: Chong Daojing 
Published: April 2021

Abstract
In this artificial intelligence-based English writing blended teaching model is in the stage of research and innovation, this article uses a university English major as the experimental object, and launched a 19-week teaching experiment. The combination of advantages improves the traditional English writing teaching mode and establishes an artificial intelligence English writing mixed teaching mode. The results of the study show that this model can improve students’ English writing level while improving students’ English writing level, and can also increase students’ interest in English writing.
Study about Impact of Big Data Technology on the Diversity of Ideological and Political Teaching Methods
Authors: Zhou Yi , Cao Yanxia 
Published: April 2021

Abstract
Big data(BD) technology is a kind of information technology that has emerged in my country in recent years. It also plays a important role in the ideological and political(IAP) teaching of college education. Making use of BD technology to implement reforms in IAP education and breaking the traditional IAP teaching mode is an inevitable requirement for reforms. At the same time, IAP education can be carried out with high efficiency and high quality. This article analyzes the impact of BD technology on the diversification of IAP teaching, and gives some examples of the application of BD in IAP teaching. And the study finally gives suggestions on IAP teaching under BD.
RETRACTED: Virtual Restoration of Mural Color Based on Artificial Intelligence
Authors: Gao Lei 
Published: April 2021

Abstract
In recent years, the development of artificial intelligence can be described as rapid change, which provides a safer method for the virtual restoration of mural colors. This article mainly studies the virtual restoration of mural color based on artificial intelligence. This paper constructs the minimum spanning tree of the segmentation line and transforms it into a graph, finds out the closed sub-ring as the segmentation line from the graph, and uses the depth-first search algorithm to extract the surface in the segmentation line area. This paper performs threshold segmentation on the mural image to obtain the drop-off area. The threshold T is selected based on experience; the pixel points of the same attribute are merged by 8 adjacent methods, that is, the pixel value is 1, and then the closed operation is used to achieve the purpose of continuous drop-off information. In order to control the tendency of global optimization and neighborhood correlation, a proportional parameter needs to be added, and the parameters are adjusted to obtain a balance between neighborhood correlation and global optimization, and the best matching point can be obtained. The data shows that the average objective evaluation score of Criminisi algorithm is 0.794603, and the average objective evaluation score of the improved algorithm in this paper is 0.848665. The results show that artificial intelligence technology plays an extremely important role in the virtual restoration of mural colors.
Innovation Strategy of Network Ideological and Political Education Based on Big Data
Authors: He Linjian 
Published: April 2021

Abstract
In the context of the Internet era, the diversity and authenticity of data collections provide visual data support for work decisions and process optimization. NIAPE(Internet ideological and political education) is an important educational reform that adapts to the development of the Internet era. In view of the single teaching method, insufficient grasp of the characteristics and laws of network education, and low awareness of network utilization, in order to achieve educational results, it is necessary to know how to skillfully use the advantages of the current network age for innovative applications, combining education with precision objects and key groups of “small and beautiful”, and innovating education and teaching from the aspects of curriculum optimization management, precision push, and perfect evaluation mechanisms.
Construction of Civil Engineering Teaching System Based on Data Mining Algorithm and Big Data Technology
Authors: Wang Xiaowei 
Published: April 2021

Abstract
Under the big data(BD) technology, colleges and universities pay more and more attention to educational technology, so as to follow up with modern information, digitization, and visualization. The courses of civil engineering teaching with traditional teaching methods and single knowledge of students are profit-only, applying data mining(DM) technology and BD technology to realize positive thinking mode. This article first gives a brief overview of DM technology and BD technology, and then discusses the strategy of applying BD technology in teaching of civil engineering professional courses, and finally applies BD DM technology to the construction of civil engineering teaching system, to realize the intelligent teaching mode. Based on DM technology and BD technology, this paper comprehensively studies the construction of two technologies in the civil engineering teaching system of colleges and universities. This article combines the new concept of constructing attention to teaching, expounds the advantages of DM algorithm in the construction of civil engineering teaching system, and briefly analyzes the composition and development of the networked civil engineering teaching system platform. At the same time, this article also in-depth research In the classification algorithm of the DM algorithm, the k-nearest algorithm is discussed, and for the efficiency of their construction in the civil engineering teaching system, the visualization research is carried out from the operation efficiency of the algorithm steps and other aspects and the organization of the data set. Based on the above research, the optimization schemes of particle swarm algorithm and ant colony algorithm are designed, and a parallelized early warning system model is realized using GPU based on CUDA platform. In the above research, the two algorithms were compared and tested, and the efficiency of the algorithm in the construction of civil engineering teaching system was verified. Experimental research results show that the cosine correlation analysis based on DM algorithms and the hybrid particle swarm algorithm can effectively integrate BD technology to construct a civil engineering teaching system and improve the operating efficiency of the system.
Design of a Hybrid Classroom Teaching Quality Evaluation System Based on Information Technology
Authors: Chen Xiao 
Published: April 2021

Abstract
With the rapid development of today’s information technology, it is an inevitable trend for the reform and development of education and teaching in colleges and universities to promote education modernization through education informatization. Information management has penetrated into the teaching and management of colleges and universities. Based on information technology, this paper studies the design of a data mining algorithm-based hybrid classroom teaching quality improvement evaluation system model, which fully reflects the quality of hybrid classroom teaching based on information technology in universities. In order to accurately grasp the current status of the current mixed classroom teaching quality, this experiment has been collected, sorted, and studied in recent years for analysis. A neural network algorithm is used to construct a model for it. This algorithm is combined with a questionnaire survey method to screen the mixed classroom teaching quality evaluation indicators of college information technology. Finally, a BP model is constructed through the classroom teaching quality and the model calculation samples are selected., The teaching quality can be obtained after calculation. Experimental research results show that with the advent of the information age, the development of blended teaching is divided into three stages. The first is based on technology, and the second is based on the interactive method of online and offline technology teaching. The third is to focus on the learning experience of learners. Blended teaching is a sublimation of traditional teaching mode and a return to traditional concepts. This brand-new teaching model will surely become the new normal of the education model in the future.
RETRACTED: Reform and Innovation of Higher Fine Arts Distance Education under the Background of Big Data
Authors: Li Wei 
Published: April 2021

Abstract
The development direction of online teaching is personalized and customized teaching based on user needs. The application of big data(BD) technology to the art remote network teaching platform can effectively solve the problems of the huge and chaotic amount of teaching resources, the difficulty of user selection, the weak management of the network learning process, the inefficient use of teaching resources, and the lack of user role sense. The purpose of this article is to study the reform and innovation of higher art distance online education under the background of BD. Methods such as literature analysis and BD technology closely link BD with education reform and innovation. This article uses BD technology methods to discover and grasp the laws of higher art distance online education in colleges and universities(CAU), build a higher art distance online education innovation system in CAU, and then promote the innovation of college art distance online education. This paper proposes a distance education innovation system for CAU from the perspective of BD, and further adopts the method of structured system analysis to carry out an in-depth study of the innovation system of CAU distance education of fine arts from the perspective of BD. This article points out that the college network ideological and political education innovation system under the BD perspective is composed of internal and external elements such as ideas, mechanisms, paths and carriers. Based on the analysis of the realistic basis of higher art education innovation in CAU from the perspective of BD, this paper puts forward the realistic possibility of the innovation of higher art distance network education under the vision of BD. Experimental research shows that there are more than 700 million netizens in my country, among which netizens are mainly 20-29 years old, accounting for 30.30% of the total number of netizens. In addition, students are an important part of netizens, reaching 25.4%.
Innovation Mode of Art Education in Colleges and Universities Based on Big Data
Authors: Liu Rong 
Published: April 2021

Abstract
In this paper, firstly, the author expounds the current situation and development of modern art education in China in the digital information age,and points out the shortcomings of the current art education. Then a new interactive data teaching method is proposed, which is analyzed from three parts: the reason of the new interactive data teaching design, the curriculum design and the innovation of the curriculum design. Finally, from the perspective of practical teaching cooperation with enterprises, this paper puts forward scientific innovation education strategies.
RETRACTED: The Innovation of Music Teaching Mode Under the Background of Big Data
Authors: Liu Jie 
Published: April 2021

Abstract
Technological progress, that is, large data scale, fast data extraction and analysis speed, and data structure diversity are the essential characteristics of big data. Big data is the key historical factor to promote the current development of the times. Facing the future education reform and development, information technology has become an innovation. With the support of big data technology, MOOC centered teaching mode and computing research paradigm are gradually becoming mature and become an important development trend of teaching research. Develop learning modules and suggest specific core courses in which their coverage may find the right context. In this paper, we study the participatory teaching method and record our classroom experience in these interventions. Specifically, we discussed learning outcomes, module content, their design and implementation, student assessment results and lessons learned.
Future Development Trend of “New Retail” and E-Commerce Based on Big Data
Authors: Wang Yanyan , Chang Jiancong 
Published: April 2021

Abstract
In recent years, my country’s “new retail” and E-Commerce (EC) have developed vigorously and have become the world’s largest offline shopping market on the Internet. At the same time, with the development of information technologies such as cloud computing and the Internet of Things, rapidly expanding data has brought mankind into the era of big data(BD). It has become possible to use BD technology to analyze the development of regional “new retail” and future EC and provide corresponding guidance. The purpose of this article is to study the future development trend of “new retail” and EC based on BD technology. Based on the development status of “new retail” and EC in Anhui Province, this paper selects Hefei and Huangshan as the research objects. After referring to numerous theoretical studies, this article has determined the factors affecting the development of regional EC, such as informatization infrastructure, logistics services, etc. At the same time, it uses the range of standardization method and selects representative indicators to construct a regional “new retail” and EC development level evaluation index system. Finally, combining the evaluation results and the development status of various regions, taking Hefei and Huangshan as examples, proposed the concept of building a regional third-party “new retail” and EC trading platform and creating regional product integration services. This article combines BD to deeply analyze the influencing factors that traditional trade and circulation companies face in the process of strategic transformation in the development of “new retail”. This article explores the strategic transformation paths and measures for traditional trade and circulation enterprises to develop the “new retail” business model Draw on. Investigation and research show that, through the evaluation model, this article concludes that Hefei’s online retail sales are higher than Huangshan’s, with an annual growth rate of more than 3%, which is also high relative to the province’s growth rate.
Information Management Strategy of Bridge Construction Technology Based on Big Data
Authors: Meng Fancheng 
Published: April 2021

Abstract
With the rapid integration of big data, cloud computing, BIM and other new technologies into construction enterprises, the degree of information of bridge construction is gradually deepened. This process is usually very complex, there are many influencing factors, and the construction progress is difficult to control. This paper summarizes the fiber composite materials which have potential application in Bridge Engineering in recent years. This paper first discusses the development prospect of carbon fiber, and then briefly introduces the mechanical properties of carbon fiber composite laminates. Referring to relevant literature, this paper introduces BIM Technology in detail.Based on the current situation and application advantages of BIM technology,it fully understands the practical application of BIM Technology in bridge engineering design, construction stage and later operation and maintenance. Their tensile strength, elastic modulus, longitudinal and transverse thermal expansion are introduced in detail.The results show that BIM Technology has been widely used in bridge engineering projects. In 2015, the Growth rate of BIM technology usage in construction industry country a was 1.536.
Optimization Design of Green Building Landscape Space Environment Based on VR Virtual Technology
Authors: Wang Xiaochen 
Published: April 2021

Abstract
At present, China does not pay enough attention to the cognition of a person’s specific psychological behavior feelings for green buildings in China, and it fails to introduce the psychological behavior feelings of specific people into the overall design and construction process of green buildings in China. In view of these problems, this paper puts forward the research of green building landscape space environment optimization design based on VR virtual technology. According to the current situation of green building landscape space environment design in China, this paper proposes the construction of objective function, and calculates the optimization satisfaction value of square and pedestrian street, and obtains the average satisfaction of two kinds of landscape space are 0.6 and 0.46 respectively. The results show that the facilities and green area are well planned, with high satisfaction. Through the comparative analysis of the effect, interactive experience and viewing effect between traditional architectural design and VR architectural landscape design, it is concluded that VR architectural landscape design is obviously superior to traditional design. VR virtual technology provides technical support for the optimization design of green building landscape space environment.
Image Pattern Recognition Algorithm Based on Improved Genetic Algorithm
Authors: Kuang Qing 
Published: April 2021

Abstract
Image recognition is an important part of artificial intelligence. In recent years, the technology has been developed rapidly and has been widely used in various fields. However, the existing image recognition technology is still not perfect, especially in the complex environment; the recognition accuracy still needs to be improved. To solve this problem, this paper proposes an image pattern recognition algorithm based on improved genetic algorithm. There are many algorithms for image recognition, but the mainstream algorithm is genetic algorithm. Genetic algorithm also shows its unique advantages in the field of image recognition. Aiming at the problem that the accuracy of existing image pattern recognition is not enough, this paper optimizes and improves the traditional genetic algorithm of image recognition. By improving the calculation method and genetic steps, the adaptability of genetic algorithm in the field of image recognition is improved. In order to further verify the actual effect of this algorithm, the corresponding comparative experiments are carried out. The experimental results show that the accuracy of the traditional genetic algorithm is 73.7%, and the improved genetic algorithm is 98.3%. The analysis shows that the improved genetic algorithm can better meet the actual needs of image pattern recognition. According to the characteristics of image recognition, the genetic algorithm can improve the accuracy and robustness of image recognition while ensuring the image quality.