The purpose of this paper intends to explore specifically whether heavy usage of the Internet by youths increase or decrease their social interaction opportunities. Issues that will be examined include that of the cha...The purpose of this paper intends to explore specifically whether heavy usage of the Internet by youths increase or decrease their social interaction opportunities. Issues that will be examined include that of the change of face-to-face communication between the youth and their families, friends and social activities. A quantitative research method with questionnaires is adopted to meet the objective of this study.展开更多
The Internet of Things(IoT)connects objects to Internet through sensor devices,radio frequency identification devices and other information collection and processing devices to realize information interaction.IoT is w...The Internet of Things(IoT)connects objects to Internet through sensor devices,radio frequency identification devices and other information collection and processing devices to realize information interaction.IoT is widely used in many fields,including intelligent transportation,intelligent healthcare,intelligent home and industry.In these fields,IoT devices connected via high-speed internet for efficient and reliable communications and faster response times.展开更多
The integration of theatre art with media such as video,the Internet and metaverse embodies intermediality and shows interactivity characteristics.Video is the first to open the possibility of interaction between perf...The integration of theatre art with media such as video,the Internet and metaverse embodies intermediality and shows interactivity characteristics.Video is the first to open the possibility of interaction between performers and stage space in the theatre,thus greatly expanding the relationship between people and video in the links of environment,atmosphere,narrative,action and conflict,making stage performance more flexible and changeable.The rapid rise of computer technology represented by the Internet provides two interactive modes of node structure and natural language for digital theatre performance,opening the path for the audience to participate in theatre interaction.The metaverse media environment represented by video games and virtual reality has dramatically changed the freedom of audience participation in theatre.“Digital embodiment”enables the audience to immerse themselves in virtual theatre performance and become a part of theatre composition,thus bringing unprecedented performance experience.展开更多
This study aims to reduce the interference of ambient noise in mobile communication,improve the accuracy and authenticity of information transmitted by sound,and guarantee the accuracy of voice information deliv-ered ...This study aims to reduce the interference of ambient noise in mobile communication,improve the accuracy and authenticity of information transmitted by sound,and guarantee the accuracy of voice information deliv-ered by mobile communication.First,the principles and techniques of speech enhancement are analyzed,and a fast lateral recursive least square method(FLRLS method)is adopted to process sound data.Then,the convolutional neural networks(CNNs)-based noise recognition CNN(NR-CNN)algorithm and speech enhancement model are proposed.Finally,related experiments are designed to verify the performance of the proposed algorithm and model.The experimental results show that the noise classification accuracy of the NR-CNN noise recognition algorithm is higher than 99.82%,and the recall rate and F1 value are also higher than 99.92.The proposed sound enhance-ment model can effectively enhance the original sound in the case of noise interference.After the CNN is incorporated,the average value of all noisy sound perception quality evaluation system values is improved by over 21%compared with that of the traditional noise reduction method.The proposed algorithm can adapt to a variety of voice environments and can simultaneously enhance and reduce noise processing on a variety of different types of voice signals,and the processing effect is better than that of traditional sound enhancement models.In addition,the sound distortion index of the proposed speech enhancement model is inferior to that of the control group,indicating that the addition of the CNN neural network is less likely to cause sound signal distortion in various sound environments and shows superior robustness.In summary,the proposed CNN-based speech enhancement model shows significant sound enhancement effects,stable performance,and strong adapt-ability.This study provides a reference and basis for research applying neural networks in speech enhancement.展开更多
文摘The purpose of this paper intends to explore specifically whether heavy usage of the Internet by youths increase or decrease their social interaction opportunities. Issues that will be examined include that of the change of face-to-face communication between the youth and their families, friends and social activities. A quantitative research method with questionnaires is adopted to meet the objective of this study.
文摘The Internet of Things(IoT)connects objects to Internet through sensor devices,radio frequency identification devices and other information collection and processing devices to realize information interaction.IoT is widely used in many fields,including intelligent transportation,intelligent healthcare,intelligent home and industry.In these fields,IoT devices connected via high-speed internet for efficient and reliable communications and faster response times.
基金founded by the Beijing Social Science Foundation Project Research on the Impact of Digital Media Technology on Stage Performance Creation (Project No.:20YTC029).
文摘The integration of theatre art with media such as video,the Internet and metaverse embodies intermediality and shows interactivity characteristics.Video is the first to open the possibility of interaction between performers and stage space in the theatre,thus greatly expanding the relationship between people and video in the links of environment,atmosphere,narrative,action and conflict,making stage performance more flexible and changeable.The rapid rise of computer technology represented by the Internet provides two interactive modes of node structure and natural language for digital theatre performance,opening the path for the audience to participate in theatre interaction.The metaverse media environment represented by video games and virtual reality has dramatically changed the freedom of audience participation in theatre.“Digital embodiment”enables the audience to immerse themselves in virtual theatre performance and become a part of theatre composition,thus bringing unprecedented performance experience.
基金supported by General Project of Philosophy and Social Science Research in Colleges and Universities in Jiangsu Province(2022SJYB0712)Research Development Fund for Young Teachers of Chengxian College of Southeast University(z0037)Special Project of Ideological and Political Education Reform and Research Course(yjgsz2206).
文摘This study aims to reduce the interference of ambient noise in mobile communication,improve the accuracy and authenticity of information transmitted by sound,and guarantee the accuracy of voice information deliv-ered by mobile communication.First,the principles and techniques of speech enhancement are analyzed,and a fast lateral recursive least square method(FLRLS method)is adopted to process sound data.Then,the convolutional neural networks(CNNs)-based noise recognition CNN(NR-CNN)algorithm and speech enhancement model are proposed.Finally,related experiments are designed to verify the performance of the proposed algorithm and model.The experimental results show that the noise classification accuracy of the NR-CNN noise recognition algorithm is higher than 99.82%,and the recall rate and F1 value are also higher than 99.92.The proposed sound enhance-ment model can effectively enhance the original sound in the case of noise interference.After the CNN is incorporated,the average value of all noisy sound perception quality evaluation system values is improved by over 21%compared with that of the traditional noise reduction method.The proposed algorithm can adapt to a variety of voice environments and can simultaneously enhance and reduce noise processing on a variety of different types of voice signals,and the processing effect is better than that of traditional sound enhancement models.In addition,the sound distortion index of the proposed speech enhancement model is inferior to that of the control group,indicating that the addition of the CNN neural network is less likely to cause sound signal distortion in various sound environments and shows superior robustness.In summary,the proposed CNN-based speech enhancement model shows significant sound enhancement effects,stable performance,and strong adapt-ability.This study provides a reference and basis for research applying neural networks in speech enhancement.
