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International Journal of Networking and Virtual Organisations最新文献

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A Longitudinal Study of the Interplay Between Team Dynamics and Media Use in Virtual Teams 虚拟团队中团队动力与媒体使用相互作用的纵向研究
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijnvo.2023.10058277
Johnnie J. Drake, Christopher P. Furner, Ravi C. Paul
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引用次数: 0
Electronic commerce information personalized recommendation method based on social network data mining 基于社交网络数据挖掘的电子商务信息个性化推荐方法
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijnvo.2023.10059266
Ping Wen, Ding Ding
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引用次数: 0
Research on tennis-assisted teaching assessment technology based on improved dense trajectory algorithm 基于改进密集轨迹算法的网球辅助教学评价技术研究
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 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.
随着人工智能技术的不断发展,网球机器人开始进入人们的生活。本研究提出一种基于改进密集轨迹算法的网球辅助教学评价方法。结果表明,当非定长轨迹的分割参数nσ和nΓ分别为2和3时,采用分割方法的识别效果最好。切比雪夫距离公式得到的计算效果较好,各类动作之间的距离主要分布在0.2左右,它们与标准动作之间实际存在的距离较小。4K视频的BD率从11.45%提高到32.98%,8K视频的BD率从1.82%提高到7.61%。系统分割的贴图数量越多,性能损失就越大,总体而言,优化后的MCTS对编码性能的影响是可以接受的。从测试的全局角度来看,仍然可以接受更快的码流融合给系统带来的传输延迟。
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引用次数: 0
AGA-BP algorithm for the evaluation model of teaching quality of dance drama performance 基于AGA-BP算法的舞剧表演教学质量评价模型
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijnvo.2023.133869
Yueying Xiao
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引用次数: 0
Optimisation of UCB algorithm based on cultural content orientation of film and television in the digital era 数字时代基于影视文化内容导向的UCB算法优化
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 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.
为了提高上置信度界(UCB)算法在影视文化在线课程推荐中的效果,本文提出了时变Linucb推荐方法。首先,引入时变Linucb,利用注意机制和短时记忆网络对ucucb进行优化。结果表明,改进模型的推荐准确率可达93%,新颖性基本稳定在70%。与UCB相比,用户的平均课程观看时间延长了2小时,平均课程注册率稳定在84%以上。这说明改进后的推荐模型挖掘了用户多样化的学习需求,能够为用户提供精准的课程推荐服务,有利于优化影视文化教育的效果。
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引用次数: 0
An actor-network model for developing data sovereignty: evidence from Indonesia 发展数据主权的行动者-网络模型:来自印度尼西亚的证据
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijnvo.2023.134283
Musfiah Saidah, N.A. Purwadi
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引用次数: 0
A Method for Predicting Consumer Purchase Intention in E-commerce in the Era of Social Media 社交媒体时代电子商务消费者购买意愿预测方法
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 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}
引用次数: 0
The application and research of double-layer music emotion classification model based on random forest algorithm in digital music 基于随机森林算法的双层音乐情感分类模型在数字音乐中的应用与研究
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijnvo.2023.133878
Linna Huang
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引用次数: 0
Application of virtual reality and multimedia integration in piano teaching of sound education major in colleges and universities 虚拟现实与多媒体集成在高校音响教育专业钢琴教学中的应用
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 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.
本研究将VR与多媒体技术有机结合,搭建了相应的钢琴教学平台,并通过实验验证了其有效性。实验结果表明,对VR-MM内部选择算法进行改进后,分类效果、分类准确率和识别率均有显著提高。其中,将两种改进算法与BPNN相结合的VLRAMM-BPNN算法性能最好,分类实际结果与预测结果吻合度最高,分类准确率最高,达到95.93%,识别率比BPNN提高21.6%。根据VR-MM的整体性能测试,无论是响应速度还是各种压力测试都达到了预期的效果。当人数设定在1万人时,压力也达到了瓶颈,完全满足了钢琴教学的实际需要。综上所述,VR-MM的性能达到了预期的效果。
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引用次数: 0
Application research of improved Apriori algorithm in teaching evaluation of mobile platform for elderly education 改进Apriori算法在老年教育移动平台教学评价中的应用研究
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 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.
如何提高老年教育的教学水平,对当前“老年化”的国家和地区具有重要的现实意义。在本研究中,我们改进了Apriori算法来分析教学评价数据,并对其性能进行了测试和应用。结果表明,传统Apriori算法的最小和最大运行时间分别为23 ms和177 ms,而改进Apriori算法的最小和最大运行时间分别为17 ms和163 ms,在数据挖掘中具有更好的分类性能。通过对教师基本信息的分析,揭示了教师职称、教育程度和年龄之间的关系。与其他算法相比,改进的Apriori算法在一定程度上节省了运行时间,具有比其他算法更好的准确性和精密度,能够实现对高中教育移动平台教学评价数据的有效分析。
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引用次数: 0
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International Journal of Networking and Virtual Organisations
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