2021 2nd Artificial Intelligence and Complex Systems Conference最新文献

{"title":"Analysis and Evaluation of the Quality of Course Education Open Course Based on Quantitative Analysis","authors":"Li Yujian","doi":"10.1145/3516529.3516578","DOIUrl":"https://doi.org/10.1145/3516529.3516578","url":null,"abstract":"The teaching of public music courses in Chinese colleges and universities has always been in a very weak state. The development of the times has prompted the concept of general education to be gradually valued by modern domestic colleges and universities, and the popularization of music education has promoted major changes in the development of music public education in colleges and universities in my country. Teaching quality is an important criterion for measuring the teaching quality of public music courses in colleges and universities. This article establishes a teaching quality evaluation system for public music courses in colleges and universities, constructs an evaluation index for public music courses in colleges and universities, quantifies the data, and establishes an evaluation of the teaching quality of public music courses in colleges and universities. Model.","PeriodicalId":205338,"journal":{"name":"2021 2nd Artificial Intelligence and Complex Systems Conference","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132817324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on Value Co-creation in China Based on Knowledge Map","authors":"Wang Xiuli","doi":"10.1145/3516529.3516555","DOIUrl":"https://doi.org/10.1145/3516529.3516555","url":null,"abstract":"The research on predicting value co-creation through the linear trend equation model of publication volume will continue to grow in the future. Based on the knowledge graph theory, using Cite space software, using the core journals and CSSCI journals in CNKI as data sources, by drawing keyword co-occurrence knowledge graphs and analyzing emergent words, it is identified time scenarios, research hot-spots and future development trends of “value co-creation\" evolution. It is found that: \"value co-creation\" fits the background of China's economic development; service-dominant logic, the Internet, evolutionary games, and cross-border e-commerce platforms are still the current research hot-spots of value co-creation; case studies and simulation are the main research methods; Combining the background of the Chinese era, these will become future research trends, such as the background of the digital economy, customer participation and interaction, customer- dominant logic, stakeholders and conflicts of interest, and value co-destruction, etc.","PeriodicalId":205338,"journal":{"name":"2021 2nd Artificial Intelligence and Complex Systems Conference","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132084056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transformation efficiency analysis of scientific and technological achievements in universities based on DEA-BCC-Malmquist model","authors":"Lei Peng, Gao Shenghan","doi":"10.1145/3516529.3516562","DOIUrl":"https://doi.org/10.1145/3516529.3516562","url":null,"abstract":"Based on the panel data of 36 tourism universities from 2014 to 2017, this paper divided the transformation of scientific and technological achievements into two stages: research and creation and achievement transformation, and used DEA-BCC model and DEA-Malmquist index model to measure the transformation efficiency of scientific and technological achievements in tourism universities and analyzed its changing trend. The results show that :(1) From the static analysis of efficiency, the average comprehensive efficiency of the first stage of transformation of scientific and technological achievements in tourism universities is around 0.65, and the pure technical efficiency is slightly higher than the scale efficiency, which is particularly obvious in the 985 and 211 universities; In the second stage of the transformation of scientific and technological achievements in tourism universities, the comprehensive efficiency value is about 0.55, and its pure technical efficiency and scale efficiency are also between 0.6-0.7, relatively speaking, there is a large room for improvement. (2) From the dynamic analysis of efficiency, the mean value of total factor productivity index of scientific and technological achievements transformation in tourism universities is 0.975 in the stage of research creation, while 1.609 in the stage of achievement transformation. Further, from the efficiency decomposition index, all the efficiency indexes in the first stage except the scale efficiency index are less than 1, while all the efficiency indexes in the second stage are greater than 1. Therefore, in the future development process, tourism universities should strengthen the management and technical level in the first stage of transformation of scientific and technological achievements, in order to avoid excessive loss of technological progress and pure technical efficiency. The research results of this paper are helpful to find the problems existing in the transformation efficiency of scientific and technological achievements in tourism universities and guide tourism universities to pay attention to scientific and technological innovation, studies, this paper divides the transformation of scientific and technological achievements in tourism universities into two stages: research creation and achievement transformation. Furthermore, DEA-BCC model and DEA-Malmquist index model are used to carry out static and dynamic analysis on the transformation efficiency of scientific and technological achievements of 36 tourism universities from 2014 to 2017, and the following conclusions are drawn.","PeriodicalId":205338,"journal":{"name":"2021 2nd Artificial Intelligence and Complex Systems Conference","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130768378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on the Evaluation of Smart Tourism Competitiveness of the Capital Cities in the Six Provinces of Central China","authors":"Y. Liu","doi":"10.1145/3516529.3516554","DOIUrl":"https://doi.org/10.1145/3516529.3516554","url":null,"abstract":"This article studies the smart tourism competitiveness of the capital cities of six provinces in central China. Based on the cross-sectional data of six cities in 2019, principal component analysis and cluster analysis are used to measure the smart tourism competitiveness of the capital cities of the six central provinces. The results show that: (1) Urban infrastructure construction, tourism economic development and technological support capabilities play a key role in the competitiveness of urban smart tourism; (2) According to the competitiveness of urban smart tourism, the six cities can be divided into three levels: Wuhan, a highly competitive city, Zhengzhou, Hefei and Changsha, a medium-competitive city, and Taiyuan and Nanchang, a less competitive city. Cities with different levels of competitiveness need to be constructed and improved according to their own conditions to further develop urban smart tourism.","PeriodicalId":205338,"journal":{"name":"2021 2nd Artificial Intelligence and Complex Systems Conference","volume":"295 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133910585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on Financial Performance Evaluation of Smart Tourism Enterprises Based on DEA-AHP","authors":"S. Yifei","doi":"10.1145/3516529.3516547","DOIUrl":"https://doi.org/10.1145/3516529.3516547","url":null,"abstract":"With the rapid development of science and technology, smart tourism has become an important strategic goal for the sustainable development of tourism enterprises. During the development period, smart tourism companies must not only respond to changes in the consumer market, but also face threats from other tourism companies. Under this circumstance, only when smart tourism companies actively evaluate financial performance can they clarify the future direction of their business development. Based on this, this article briefly elaborates the DEA and AHP research methods, and builds the financial performance evaluation index system of smart tourism companies. On this basis, the financial performance evaluation model of smart tourism companies is further established to provide some useful references.","PeriodicalId":205338,"journal":{"name":"2021 2nd Artificial Intelligence and Complex Systems Conference","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132771469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on the Forecast Model of Tourist Flow in Scenic Spots Based on Big Data Analysis","authors":"Fang Gao, Yi Liu, Lan Zhang","doi":"10.1145/3516529.3516564","DOIUrl":"https://doi.org/10.1145/3516529.3516564","url":null,"abstract":"The forecasting accuracy of tourist flow in scenic spots directly affects the management level of scenic spots. The modeling efficiency of the current tourist flow forecasting models in scenic spots is poor and it takes a long time. In order to obtain the ideal tourist flow forecast results in scenic spots, the design is based on the characteristics of changes in tourist flow in scenic spots A forecasting model of tourist flow in scenic spots based on big data analysis. First, analyze the current tourist flow forecasting progress of the scenic spot, find out the various shortcomings of the tourist flow forecast of the scenic spot, and then collect the passenger flow data of the scenic spot for a period of time, and use the ARIMA model and the BP neural network to analyze the seasonality and randomness of the tourist flow of the scenic spot. The change characteristics are modeled, and their prediction results are weighted to obtain the tourist flow forecast results of the scenic spot. Finally, the comparison test is carried out with the current classic scenic spot passenger flow prediction model. Compared with the classic model, the big data analysis of the tourist flow fitting of the scenic spot The accuracy of forecasting and forecasting has been improved to a certain extent. At the same time, the modeling efficiency of tourist flow in scenic spots has been improved, which can provide valuable information for scenic spot managers, thereby improving the management level of tourist flow in scenic spots.","PeriodicalId":205338,"journal":{"name":"2021 2nd Artificial Intelligence and Complex Systems Conference","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115621507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of the influencing factors of sudden and major public events on the development of urban tourism","authors":"Gong Jing, Yunhe Zhan","doi":"10.1145/3516529.3516584","DOIUrl":"https://doi.org/10.1145/3516529.3516584","url":null,"abstract":"Public emergencies will have a certain impact on social security, public order, market economy, citizens' lives and property. The global outbreak of COVID-19 in 2020 has posed a great threat to the global economic environment and people's safety. As an industry of new economic development, tourism itself has weak market stability, and the occurrence of public security emergencies will have a greater impact on tourism. In this context, this paper takes the impact of COVID-19 on urban tourism in Wuhan, China, as a case study to explore the impact of public emergencies on urban tourism development. Using the method of questionnaire survey, the national tourists as a sample of sampling survey, from the perspective of the city's tourism image, tourists and tourism enterprises, descriptive statistics of tourists' perception, the following conclusions are drawn: (1) after the epidemic, tourists have a positive impact on the city's tourism image; (2) After the epidemic, only 35% of tourists are willing to travel to Wuhan in the form of travel agency, and more tourists prefer independent travel, with 63% of tourists choosing independent travel. (3) After the epidemic, tourists have changed their choice of scenic spots, ways of visiting and accommodation environment, and will consider safety factors more.","PeriodicalId":205338,"journal":{"name":"2021 2nd Artificial Intelligence and Complex Systems Conference","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124837462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on the Construction Method of Accounting Information Model of Smart Tourism Enterprise in ERP Environment","authors":"L. Jinfeng","doi":"10.1145/3516529.3516585","DOIUrl":"https://doi.org/10.1145/3516529.3516585","url":null,"abstract":"This paper mainly analyzes the changes in the accounting information model of smart tourism companies under the ERP environment, and summarizes its advantages over traditional corporate accounting information models. At the same time, it discusses the specific construction of the smart tourism company accounting information models Method, and choose A smart tourism company as the object of case analysis to explore the effect of the smart tourism company accounting information model constructed and applied in the ERP environment. Research has found that its gray value reaches 1, and the accounting information in this accounting model is more real and reliable. This is also the advantage of the smart tourism enterprise accounting information model in the ERP environment.","PeriodicalId":205338,"journal":{"name":"2021 2nd Artificial Intelligence and Complex Systems Conference","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130162307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"2021 2nd Artificial Intelligence and Complex Systems Conference","authors":"","doi":"10.1145/3516529","DOIUrl":"https://doi.org/10.1145/3516529","url":null,"abstract":"","PeriodicalId":205338,"journal":{"name":"2021 2nd Artificial Intelligence and Complex Systems Conference","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125844696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}