Pub Date : 2021-11-01DOI: 10.1109/ICCST53801.2021.00064
Xiaoying Bai, Zhiguo Hong, Minyong Shi
In recent years, novel coronavirus pneumonia has spread rapidly around the world due to its strong infectiousness, and the medical systems of related countries are facing huge challenges. As the most intuitive and effective supplementary diagnostic basis for the results of nucleic acid tests, medical imaging screening has gradually become more and more important in epidemic prevention and control. In this context, this paper develops a novel coronavirus pneumonia-auxiliary diagnostic system by using deep learning techniques. This system can help medical staffs to diagnose the condition through X-Ray images quickly. This system builds a sample dataset by collecting lung X-ray images from two datasets and uses a neural network for auxiliary diagnosis training, which achieves an accuracy rate of 98%. Furthermore, two interactive visual interfaces in the form of PC-side applet and Web page are supported in the system, which makes it much easier for medical personnel to operate the system.
{"title":"Design and Implementation of COVID-19 Assistant Diagnostic System Based on Deep Learning","authors":"Xiaoying Bai, Zhiguo Hong, Minyong Shi","doi":"10.1109/ICCST53801.2021.00064","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00064","url":null,"abstract":"In recent years, novel coronavirus pneumonia has spread rapidly around the world due to its strong infectiousness, and the medical systems of related countries are facing huge challenges. As the most intuitive and effective supplementary diagnostic basis for the results of nucleic acid tests, medical imaging screening has gradually become more and more important in epidemic prevention and control. In this context, this paper develops a novel coronavirus pneumonia-auxiliary diagnostic system by using deep learning techniques. This system can help medical staffs to diagnose the condition through X-Ray images quickly. This system builds a sample dataset by collecting lung X-ray images from two datasets and uses a neural network for auxiliary diagnosis training, which achieves an accuracy rate of 98%. Furthermore, two interactive visual interfaces in the form of PC-side applet and Web page are supported in the system, which makes it much easier for medical personnel to operate the system.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121942236","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 : 2021-11-01DOI: 10.1109/ICCST53801.2021.00068
Xiangjie Huang, Da Pan, Yiming Huang, Junli Deng, Pengyu Zhu, Ping Shi, Ruisi Xu, Zelu Qi, Jingqian He
Nowadays, yoga as a popular sport has received more and more people’s attention. However, many people do not have enough time and suitable places to practice yoga. In recent years, the development of posture estimation methods has provided convenience for intelligent yoga coaches. This research aims to develop a yoga training system based on real-time pose estimation. The system is composed of a posture recognition network, a yoga standard movement posture library, a yoga movement correction algorithm and a system UI interface. Taking the real-time human motion video stream collected by the camera as input, the gesture recognition network based on OpenPose is used to extract the joint points of human gestures. According to our proposed correction algorithm based on entropy weight, real-time feedback and correction suggestions can be obtained. Experimental results show that this method can show high real-time performance on home computers and high accuracy on real data sets.
{"title":"Intelligent Yoga Coaching System Based on Posture Recognition","authors":"Xiangjie Huang, Da Pan, Yiming Huang, Junli Deng, Pengyu Zhu, Ping Shi, Ruisi Xu, Zelu Qi, Jingqian He","doi":"10.1109/ICCST53801.2021.00068","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00068","url":null,"abstract":"Nowadays, yoga as a popular sport has received more and more people’s attention. However, many people do not have enough time and suitable places to practice yoga. In recent years, the development of posture estimation methods has provided convenience for intelligent yoga coaches. This research aims to develop a yoga training system based on real-time pose estimation. The system is composed of a posture recognition network, a yoga standard movement posture library, a yoga movement correction algorithm and a system UI interface. Taking the real-time human motion video stream collected by the camera as input, the gesture recognition network based on OpenPose is used to extract the joint points of human gestures. According to our proposed correction algorithm based on entropy weight, real-time feedback and correction suggestions can be obtained. Experimental results show that this method can show high real-time performance on home computers and high accuracy on real data sets.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"473 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132023664","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 : 2021-11-01DOI: 10.1109/ICCST53801.2021.00060
Yuan Zhu, Shijian Luo, Zuyao Zhang, Menglin Fan
This paper aims to establish the value co-creation and perception mechanism between customers and museum cultural and creative products, then put forward corresponding design strategies while demonstrating its feasibility. It expounds the features and types of user value, establishes a co-creation model and perception model of customer value by quantifying the resources, touchpoints and stages in the co-creation process, and puts to the design experiment and assessment. This paper aims to provide a customer value model reference and design guidance for the museum cultural and creative products design and assessment, and to improve the quality and efficiency of design.
{"title":"Customer Value Co-creation and Perception in Museum Cultural and Creative Product Design","authors":"Yuan Zhu, Shijian Luo, Zuyao Zhang, Menglin Fan","doi":"10.1109/ICCST53801.2021.00060","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00060","url":null,"abstract":"This paper aims to establish the value co-creation and perception mechanism between customers and museum cultural and creative products, then put forward corresponding design strategies while demonstrating its feasibility. It expounds the features and types of user value, establishes a co-creation model and perception model of customer value by quantifying the resources, touchpoints and stages in the co-creation process, and puts to the design experiment and assessment. This paper aims to provide a customer value model reference and design guidance for the museum cultural and creative products design and assessment, and to improve the quality and efficiency of design.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133424123","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 : 2021-11-01DOI: 10.1109/ICCST53801.2021.00014
Jun Zhang, Fengping Lu, Ying Yang
Acoustic ecology treats sound as a landscape in the environment, emphasizing the relationship between people, sound and the environment. For a long time, urban tourism research has basically stayed in the field of visual elements. Tourism experience is an all-round perception process, and the optimization of soundscape can provide new ideas for improving the urban ecological environment and enhancing the quality of tourism landscapes. Through empirical research taking Nanjing as an example, it is possible to explore the relationship between sound level and tourists’ perception, as well as the characteristics of the basic tone, symbol tone, and signal tone. On this basis, the paper puts forward practical suggestions on the design and management of soundscape from the perspective of acoustic ecology.
{"title":"Research on Soundscape of Urban Tourism Based on Acoustic Ecology","authors":"Jun Zhang, Fengping Lu, Ying Yang","doi":"10.1109/ICCST53801.2021.00014","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00014","url":null,"abstract":"Acoustic ecology treats sound as a landscape in the environment, emphasizing the relationship between people, sound and the environment. For a long time, urban tourism research has basically stayed in the field of visual elements. Tourism experience is an all-round perception process, and the optimization of soundscape can provide new ideas for improving the urban ecological environment and enhancing the quality of tourism landscapes. Through empirical research taking Nanjing as an example, it is possible to explore the relationship between sound level and tourists’ perception, as well as the characteristics of the basic tone, symbol tone, and signal tone. On this basis, the paper puts forward practical suggestions on the design and management of soundscape from the perspective of acoustic ecology.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"52 9 Suppl 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131552172","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 : 2021-11-01DOI: 10.1109/ICCST53801.2021.00127
Mingyang Su, Jingbing Wu, Hanxi Wang
With the rapid economic development and technical progress, the traditional means of lighting design can no longer meet the needs of people, leading to the emergence of new lighting design methods and lighting design software. With humanistic thought as the design concept in the art of lighting, lighting design is gradually becoming professional and standardized. Domestic and foreign software related to lighting design are developing at a fast pace in this industry, and each software has its own unique advantages and disadvantages. In this paper, a comparative analysis is made on DIALux, AGI32, Ecotect and Lightscape, the four commonly used domestic lighting design software.
{"title":"A Comparative Analysis of Lighting Design Software","authors":"Mingyang Su, Jingbing Wu, Hanxi Wang","doi":"10.1109/ICCST53801.2021.00127","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00127","url":null,"abstract":"With the rapid economic development and technical progress, the traditional means of lighting design can no longer meet the needs of people, leading to the emergence of new lighting design methods and lighting design software. With humanistic thought as the design concept in the art of lighting, lighting design is gradually becoming professional and standardized. Domestic and foreign software related to lighting design are developing at a fast pace in this industry, and each software has its own unique advantages and disadvantages. In this paper, a comparative analysis is made on DIALux, AGI32, Ecotect and Lightscape, the four commonly used domestic lighting design software.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133886388","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 : 2021-11-01DOI: 10.1109/ICCST53801.2021.00040
Yi Zou, Jingyu Liu, Wei Jiang
Abstract - Timbre morphing is a signal processing technology that involves the use of an interpolation algorithm to gradually change the timbre of one instrument into that of another. However, the prepared target audio, which possesses the same music content (such as score and rhythm) as the original audio, is essential to the input used in the morphing technique. To meet the application requirements of non-parallel and many-to-one processing, we combined the signal processing technology of spectral feature interpolation with the deep learning technology of the autoencoder to provide the timbre morphing technology with a generalization ability. The complex framework, which focuses on the processing of harmonic information, is built using the pitch tracking, temporal signal processing, decoder, source-filter modeling, and spectral feature interpolation. Notably, unlike the neural vocoder that is commonly used in voice conversion, the decoder, which is trained using a data reconstruction method, is used to map the input audio features to the harmonic amplitude distribution with the target timbre. Experiments were conducted in which the clarinet timbre was morphed into a trumpet. An evaluation of the spectral features demonstrated the validity of the morphing technology.
{"title":"Non-parallel and Many-to-One Musical Timbre Morphing using DDSP-Autoencoder and Spectral Feature Interpolation","authors":"Yi Zou, Jingyu Liu, Wei Jiang","doi":"10.1109/ICCST53801.2021.00040","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00040","url":null,"abstract":"Abstract - Timbre morphing is a signal processing technology that involves the use of an interpolation algorithm to gradually change the timbre of one instrument into that of another. However, the prepared target audio, which possesses the same music content (such as score and rhythm) as the original audio, is essential to the input used in the morphing technique. To meet the application requirements of non-parallel and many-to-one processing, we combined the signal processing technology of spectral feature interpolation with the deep learning technology of the autoencoder to provide the timbre morphing technology with a generalization ability. The complex framework, which focuses on the processing of harmonic information, is built using the pitch tracking, temporal signal processing, decoder, source-filter modeling, and spectral feature interpolation. Notably, unlike the neural vocoder that is commonly used in voice conversion, the decoder, which is trained using a data reconstruction method, is used to map the input audio features to the harmonic amplitude distribution with the target timbre. Experiments were conducted in which the clarinet timbre was morphed into a trumpet. An evaluation of the spectral features demonstrated the validity of the morphing technology.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134025183","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 : 2021-11-01DOI: 10.1109/ICCST53801.2021.00038
Zhaoshan Wei, Jiangbo Xu
The advances in GANs have paved the way for various methods of high dynamic range (HDR) image reconstruction. In this paper, we use the structural advantages of GAN to infer natural HDR images and reconstruct missing information from a single exposure low dynamic range(LDR) image in an end-to-end fashion, which extends the dynamic range of a given image to generate HDR image. Furthermore, we propose a novel dense feedback model and the feedback mechanism, which can make use of the high-level information to refine the shallow information in the top-down feedback stream through the global feedback and the local feedback connection. The dense connections in the forward-pass enable feature-reuse and comprehensively learn complex nonlinear relationships from LDR to HDR mapping. Experiment results demonstrate proposed method produces superior performance compared to existing state-of-the-art approaches.
{"title":"Single Image HDR Reconstruction Using Generative Adversarial Networks","authors":"Zhaoshan Wei, Jiangbo Xu","doi":"10.1109/ICCST53801.2021.00038","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00038","url":null,"abstract":"The advances in GANs have paved the way for various methods of high dynamic range (HDR) image reconstruction. In this paper, we use the structural advantages of GAN to infer natural HDR images and reconstruct missing information from a single exposure low dynamic range(LDR) image in an end-to-end fashion, which extends the dynamic range of a given image to generate HDR image. Furthermore, we propose a novel dense feedback model and the feedback mechanism, which can make use of the high-level information to refine the shallow information in the top-down feedback stream through the global feedback and the local feedback connection. The dense connections in the forward-pass enable feature-reuse and comprehensively learn complex nonlinear relationships from LDR to HDR mapping. Experiment results demonstrate proposed method produces superior performance compared to existing state-of-the-art approaches.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123743596","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 : 2021-11-01DOI: 10.1109/ICCST53801.2021.00033
Li-juan Zhou, Haoqi Sun, Xiaoyan Fu, Yunhui Wen, Jiefeng Cao
At present, digital publishing has a bright future. However, under the current publishing model based on physical publications, digital publications are faced with problems such as insufficient quality of content resources, insufficient approval procedures, and insufficient authority of publications. In response to the above problems, this paper proposes a publishing decision-making algorithm based on a knowledge aggregation service platform, and applies it to the practice of digital publishing by Tsinghua University Press. The algorithm uses the massive network resources and user data gathered by the platform to select high-quality network resources for digital publishing through calculations. It aims to improve the quality of digital publications and accelerate the circulation of knowledge, hoping to provide a valuable reference for promoting the transformation and upgrading of the publishing industry.
{"title":"Research on the Transformation and Upgrading of Traditional Book Publishing to Standardized Digital Publishing","authors":"Li-juan Zhou, Haoqi Sun, Xiaoyan Fu, Yunhui Wen, Jiefeng Cao","doi":"10.1109/ICCST53801.2021.00033","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00033","url":null,"abstract":"At present, digital publishing has a bright future. However, under the current publishing model based on physical publications, digital publications are faced with problems such as insufficient quality of content resources, insufficient approval procedures, and insufficient authority of publications. In response to the above problems, this paper proposes a publishing decision-making algorithm based on a knowledge aggregation service platform, and applies it to the practice of digital publishing by Tsinghua University Press. The algorithm uses the massive network resources and user data gathered by the platform to select high-quality network resources for digital publishing through calculations. It aims to improve the quality of digital publications and accelerate the circulation of knowledge, hoping to provide a valuable reference for promoting the transformation and upgrading of the publishing industry.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114983105","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 : 2021-11-01DOI: 10.1109/ICCST53801.2021.00022
Jiabin Hu, Hongjie Ni, Li-feng Wu, Dan Zhang
In order to realize the function of rapid space transformation in finite time for small-scale cultural service complex applications, this paper proposes the permanent magnet synchronous motor (PMSM) device as the execution unit, and designs a non-singular terminal sliding mode control scheme based on an improved approaching rate. The design of the sliding surface is combined with a special terminal attractor, which not only ensures the rapid convergence of the system state in finite time, but also strengthens the anti-interference ability of the PMSM speed control system. The introduction of the new approaching rate effectively improves the chattering phenomenon in the control process and improves the control accuracy of the system. Finally, a simulation study on the PMSM system is performed, and the experimental results prove the effectiveness of the control scheme.
{"title":"Research on Finite-time Control of Motor Systems: Application to Small-scale Cultural Service Complex","authors":"Jiabin Hu, Hongjie Ni, Li-feng Wu, Dan Zhang","doi":"10.1109/ICCST53801.2021.00022","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00022","url":null,"abstract":"In order to realize the function of rapid space transformation in finite time for small-scale cultural service complex applications, this paper proposes the permanent magnet synchronous motor (PMSM) device as the execution unit, and designs a non-singular terminal sliding mode control scheme based on an improved approaching rate. The design of the sliding surface is combined with a special terminal attractor, which not only ensures the rapid convergence of the system state in finite time, but also strengthens the anti-interference ability of the PMSM speed control system. The introduction of the new approaching rate effectively improves the chattering phenomenon in the control process and improves the control accuracy of the system. Finally, a simulation study on the PMSM system is performed, and the experimental results prove the effectiveness of the control scheme.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"209 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114160622","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 : 2021-11-01DOI: 10.1109/ICCST53801.2021.00036
Yihui Zhang, Binhe Lu, Jin Chen
With the rapid development of science and technology, the cultural industrial park, as a new highland for the development of cultural industry, also needs to use science and technology to realize its own intelligent transformation. This paper analyzes the role and development of cultural industrial parks, puts forward the current necessity of cultural industrial parks’ intelligent transformation and the challenges it faces, in order to put forward the path of intelligent transformation.
{"title":"The intelligent transformation path of Cultural Industrial Parks under science and technology empowerment","authors":"Yihui Zhang, Binhe Lu, Jin Chen","doi":"10.1109/ICCST53801.2021.00036","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00036","url":null,"abstract":"With the rapid development of science and technology, the cultural industrial park, as a new highland for the development of cultural industry, also needs to use science and technology to realize its own intelligent transformation. This paper analyzes the role and development of cultural industrial parks, puts forward the current necessity of cultural industrial parks’ intelligent transformation and the challenges it faces, in order to put forward the path of intelligent transformation.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"307 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121826154","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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