Pub Date : 2023-01-01DOI: 10.1504/ijnvo.2023.10058277
Johnnie J. Drake, Christopher P. Furner, Ravi C. Paul
{"title":"A Longitudinal Study of the Interplay Between Team Dynamics and Media Use in Virtual Teams","authors":"Johnnie J. Drake, Christopher P. Furner, Ravi C. Paul","doi":"10.1504/ijnvo.2023.10058277","DOIUrl":"https://doi.org/10.1504/ijnvo.2023.10058277","url":null,"abstract":"","PeriodicalId":52509,"journal":{"name":"International Journal of Networking and Virtual Organisations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66787919","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}
Pub Date : 2023-01-01DOI: 10.1504/ijnvo.2023.10059266
Ping Wen, Ding Ding
{"title":"Electronic commerce information personalized recommendation method based on social network data mining","authors":"Ping Wen, Ding Ding","doi":"10.1504/ijnvo.2023.10059266","DOIUrl":"https://doi.org/10.1504/ijnvo.2023.10059266","url":null,"abstract":"","PeriodicalId":52509,"journal":{"name":"International Journal of Networking and Virtual Organisations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135600397","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}
Pub Date : 2023-01-01DOI: 10.1504/ijnvo.2023.133870
Mengran Niu
With the continuous development of artificial intelligence technology, tennis robots begin to enter people's lives. This study proposes a tennis-assisted teaching evaluation method based on improved dense trajectory algorithm. The results show that the best recognition effect is obtained under the division method when the division parameters nσ and nΓ of non-fixed-length trajectories are 2 and 3 respectively. The calculation effect obtained by Chebyshev distance formula is better, and the distance between various types of actions is mainly distributed around 0.2, and the actual distance existing between them and the standard action is smaller. The BD rate of 4K video increases from 11.45% to 32.98%, while that of 8K video increases from 1.82% to 7.61%. The more the number of tile divided by the system, the more the performance is lost, and globally, the coding performance affected by the optimised MCTS is acceptable. From the global view of the test, it is still possible to accept the transmission delay caused by the faster code stream fusion to the system.
{"title":"Research on tennis-assisted teaching assessment technology based on improved dense trajectory algorithm","authors":"Mengran Niu","doi":"10.1504/ijnvo.2023.133870","DOIUrl":"https://doi.org/10.1504/ijnvo.2023.133870","url":null,"abstract":"With the continuous development of artificial intelligence technology, tennis robots begin to enter people's lives. This study proposes a tennis-assisted teaching evaluation method based on improved dense trajectory algorithm. The results show that the best recognition effect is obtained under the division method when the division parameters nσ and nΓ of non-fixed-length trajectories are 2 and 3 respectively. The calculation effect obtained by Chebyshev distance formula is better, and the distance between various types of actions is mainly distributed around 0.2, and the actual distance existing between them and the standard action is smaller. The BD rate of 4K video increases from 11.45% to 32.98%, while that of 8K video increases from 1.82% to 7.61%. The more the number of tile divided by the system, the more the performance is lost, and globally, the coding performance affected by the optimised MCTS is acceptable. From the global view of the test, it is still possible to accept the transmission delay caused by the faster code stream fusion to the system.","PeriodicalId":52509,"journal":{"name":"International Journal of Networking and Virtual Organisations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136003509","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}
Pub Date : 2023-01-01DOI: 10.1504/ijnvo.2023.133869
Yueying Xiao
{"title":"AGA-BP algorithm for the evaluation model of teaching quality of dance drama performance","authors":"Yueying Xiao","doi":"10.1504/ijnvo.2023.133869","DOIUrl":"https://doi.org/10.1504/ijnvo.2023.133869","url":null,"abstract":"","PeriodicalId":52509,"journal":{"name":"International Journal of Networking and Virtual Organisations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136003752","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}
Pub Date : 2023-01-01DOI: 10.1504/ijnvo.2023.133865
Bin Li
To improve the effect of the upper confidence bound (UCB) algorithm in the recommendation of online courses of film and television culture, the paper proposes the recommendation method with time-varying Linucb. Firstly, the time-varying Linucb is introduced, and the UCB is optimised by using the attention mechanism and the short-term and short-term memory network. The results show that the recommendation accuracy of the improved model reaches up to 93%, and the novelty is basically stable at 70%. Compared with UCB, the average course viewing time of users has been extended by two hours, and the average course registration rate has remained stable at over 84%. This indicates that the improved recommendation model has excavated the diverse learning needs of users and can provide accurate course recommendation services for users, which is conducive to optimising the effectiveness of film and television cultural education.
{"title":"Optimisation of UCB algorithm based on cultural content orientation of film and television in the digital era","authors":"Bin Li","doi":"10.1504/ijnvo.2023.133865","DOIUrl":"https://doi.org/10.1504/ijnvo.2023.133865","url":null,"abstract":"To improve the effect of the upper confidence bound (UCB) algorithm in the recommendation of online courses of film and television culture, the paper proposes the recommendation method with time-varying Linucb. Firstly, the time-varying Linucb is introduced, and the UCB is optimised by using the attention mechanism and the short-term and short-term memory network. The results show that the recommendation accuracy of the improved model reaches up to 93%, and the novelty is basically stable at 70%. Compared with UCB, the average course viewing time of users has been extended by two hours, and the average course registration rate has remained stable at over 84%. This indicates that the improved recommendation model has excavated the diverse learning needs of users and can provide accurate course recommendation services for users, which is conducive to optimising the effectiveness of film and television cultural education.","PeriodicalId":52509,"journal":{"name":"International Journal of Networking and Virtual Organisations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136003762","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}
Pub Date : 2023-01-01DOI: 10.1504/ijnvo.2023.134283
Musfiah Saidah, N.A. Purwadi
{"title":"An actor-network model for developing data sovereignty: evidence from Indonesia","authors":"Musfiah Saidah, N.A. Purwadi","doi":"10.1504/ijnvo.2023.134283","DOIUrl":"https://doi.org/10.1504/ijnvo.2023.134283","url":null,"abstract":"","PeriodicalId":52509,"journal":{"name":"International Journal of Networking and Virtual Organisations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135006910","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}
Pub Date : 2023-01-01DOI: 10.1504/ijnvo.2023.10059364
Aihua Mo
{"title":"A Method for Predicting Consumer Purchase Intention in E-commerce in the Era of Social Media","authors":"Aihua Mo","doi":"10.1504/ijnvo.2023.10059364","DOIUrl":"https://doi.org/10.1504/ijnvo.2023.10059364","url":null,"abstract":"","PeriodicalId":52509,"journal":{"name":"International Journal of Networking and Virtual Organisations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135653455","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}
Pub Date : 2023-01-01DOI: 10.1504/ijnvo.2023.133878
Linna Huang
{"title":"The application and research of double-layer music emotion classification model based on random forest algorithm in digital music","authors":"Linna Huang","doi":"10.1504/ijnvo.2023.133878","DOIUrl":"https://doi.org/10.1504/ijnvo.2023.133878","url":null,"abstract":"","PeriodicalId":52509,"journal":{"name":"International Journal of Networking and Virtual Organisations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136003046","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}
Pub Date : 2023-01-01DOI: 10.1504/ijnvo.2023.133874
Peng Liu
The research has organically integrated VR and multimedia technology, built a corresponding piano teaching platform, and verified its effectiveness through experiments. The experimental results show that the classification effect, classification accuracy and recognition rate have been significantly enhanced after the internal selection algorithm of VR-MM is improved. Among them, the VLRAMM-BPNN algorithm, combining the two improved algorithms with BPNN, has the best performance, the highest coincidence between actual and predicted classification results, the highest classification accuracy of 95.93%, and the recognition rate is 21.6% higher than that of BPNN. According to the overall performance test of VR-MM, both the response speed and various stress tests have achieved the desired results. When the number of people is set at 10,000, the pressure has also reached the bottleneck, fully meeting the actual needs of piano teaching. To sum up, the performance of VR-MM has achieved the expected effect.
{"title":"Application of virtual reality and multimedia integration in piano teaching of sound education major in colleges and universities","authors":"Peng Liu","doi":"10.1504/ijnvo.2023.133874","DOIUrl":"https://doi.org/10.1504/ijnvo.2023.133874","url":null,"abstract":"The research has organically integrated VR and multimedia technology, built a corresponding piano teaching platform, and verified its effectiveness through experiments. The experimental results show that the classification effect, classification accuracy and recognition rate have been significantly enhanced after the internal selection algorithm of VR-MM is improved. Among them, the VLRAMM-BPNN algorithm, combining the two improved algorithms with BPNN, has the best performance, the highest coincidence between actual and predicted classification results, the highest classification accuracy of 95.93%, and the recognition rate is 21.6% higher than that of BPNN. According to the overall performance test of VR-MM, both the response speed and various stress tests have achieved the desired results. When the number of people is set at 10,000, the pressure has also reached the bottleneck, fully meeting the actual needs of piano teaching. To sum up, the performance of VR-MM has achieved the expected effect.","PeriodicalId":52509,"journal":{"name":"International Journal of Networking and Virtual Organisations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136004372","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}
Pub Date : 2023-01-01DOI: 10.1504/ijnvo.2023.133877
Jun Chen
How to improve the teaching level of elderly education is of great practical significance to the current 'elderly' countries and regions. In this study, we improve the Apriori algorithm to analyse the teaching evaluation data, and test the performance and apply the analysis. The results show that the minimum and maximum runtime of the traditional Apriori algorithm is 23 ms and 177 ms respectively, while the minimum and maximum runtime of the improved Apriori algorithm is 17 ms and 163 ms respectively, which indicates a better classification performance in data mining. The basic information of teachers was analysed to show the association of teachers' titles, education and age. Compared with other algorithms, the improved Apriori algorithm saves running time to a certain extent, has better accuracy and precision than other algorithms, and can achieve effective analysis of teaching evaluation data on the mobile platform for senior education.
{"title":"Application research of improved Apriori algorithm in teaching evaluation of mobile platform for elderly education","authors":"Jun Chen","doi":"10.1504/ijnvo.2023.133877","DOIUrl":"https://doi.org/10.1504/ijnvo.2023.133877","url":null,"abstract":"How to improve the teaching level of elderly education is of great practical significance to the current 'elderly' countries and regions. In this study, we improve the Apriori algorithm to analyse the teaching evaluation data, and test the performance and apply the analysis. The results show that the minimum and maximum runtime of the traditional Apriori algorithm is 23 ms and 177 ms respectively, while the minimum and maximum runtime of the improved Apriori algorithm is 17 ms and 163 ms respectively, which indicates a better classification performance in data mining. The basic information of teachers was analysed to show the association of teachers' titles, education and age. Compared with other algorithms, the improved Apriori algorithm saves running time to a certain extent, has better accuracy and precision than other algorithms, and can achieve effective analysis of teaching evaluation data on the mobile platform for senior education.","PeriodicalId":52509,"journal":{"name":"International Journal of Networking and Virtual Organisations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136004377","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}
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