Knowledge service is the key link to promote the upgrading of science and technology innovation, professional education and publishing industry. This paper mainly expounds the access mode of knowledge resources on knowledge aggregation and service platform. The classification and investigation of the massive knowledge resources are carried out. This paper proposes an “embedded” resource access mode of knowledge service platform, which solves the common problem of copyright authorization in the process of resource access for building knowledge aggregation and service platform, and provides a solution for copyright organizations to realize self-supporting without handing over copyright. Based on the “embedded” access mode, Wanfang Data has been implemented on its knowledge service platform, and has been launched the resource system aggregation service called “Station’s Application”.
{"title":"An “embedded” access mode of copyright resources in knowledge aggregation service portal","authors":"Li-juan Zhou, Xinran Zhao, Xiaoyan Fu, Zhao Wu, Baorui Mei, Gaoqing Nie","doi":"10.1109/ICCST53801.2021.00042","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00042","url":null,"abstract":"Knowledge service is the key link to promote the upgrading of science and technology innovation, professional education and publishing industry. This paper mainly expounds the access mode of knowledge resources on knowledge aggregation and service platform. The classification and investigation of the massive knowledge resources are carried out. This paper proposes an “embedded” resource access mode of knowledge service platform, which solves the common problem of copyright authorization in the process of resource access for building knowledge aggregation and service platform, and provides a solution for copyright organizations to realize self-supporting without handing over copyright. Based on the “embedded” access mode, Wanfang Data has been implemented on its knowledge service platform, and has been launched the resource system aggregation service called “Station’s Application”.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"17 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":"129753086","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/ICCST53801.2021.00034
Zeyu Li, Tianhe Yu, Hao Shen
Tourism is a form of cultural expression. The key step of fine-grained sentiment analysis of travel review evaluation text is opinion targets extraction. It aims to analyze travel review text and extract the opinion targets contained in it, and targets extraction’s accuracy rate directly affects the accuracy rate of sentiment analysis. Due to the outstanding performance of pre-training language models in the field of natural language processing in recent years, in order to improve the accuracy of opinion targets extraction, we propose a RoBERTa pre-training language model and Chinese pre-training word embedding vector, combined with BiLSTM (bidirectional long short-term memory) and CRF (conditional random field) opinion targets extraction model. The experimental results on the travel review data set of the Mafengwo travel software show that the extraction effect of this model is improved to varying degrees compared with other existing opinion targets extraction models based on deep learning.
{"title":"Research on Opinion Targets Extraction of Travel Reviews Based on RoBERTa Embedded BILSTM-CRF Model","authors":"Zeyu Li, Tianhe Yu, Hao Shen","doi":"10.1109/ICCST53801.2021.00034","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00034","url":null,"abstract":"Tourism is a form of cultural expression. The key step of fine-grained sentiment analysis of travel review evaluation text is opinion targets extraction. It aims to analyze travel review text and extract the opinion targets contained in it, and targets extraction’s accuracy rate directly affects the accuracy rate of sentiment analysis. Due to the outstanding performance of pre-training language models in the field of natural language processing in recent years, in order to improve the accuracy of opinion targets extraction, we propose a RoBERTa pre-training language model and Chinese pre-training word embedding vector, combined with BiLSTM (bidirectional long short-term memory) and CRF (conditional random field) opinion targets extraction model. The experimental results on the travel review data set of the Mafengwo travel software show that the extraction effect of this model is improved to varying degrees compared with other existing opinion targets extraction models based on deep learning.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"10 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":"130185150","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/ICCST53801.2021.00095
Tianyi Cui, Yu Yang, Yunhai Guo
Virtual Reality (VR) technology has become ever more popular with consumers in recent years. However, dizziness brought by VR greatly affects its experience, especially VR motion sickness. Therefore, the industry needs in order to study how to improve the comfort of VR motion pictures. The subject conducts subjective evaluation experiments through the constructed virtual 3D scene. The relationship between the height and speed of the VR camera, as well as the gender of the audience and VR motion sickness, is considered by subjective evaluation experiments. Viewer’s VR motion sickness is the least obvious when the viewer is close to the height and average pace, and women are more likely to be dizzy to VR than men, which are proved by experimental results.
{"title":"Evaluation of Height and Speed Effects on the Comfort of VR Motion Picture Display","authors":"Tianyi Cui, Yu Yang, Yunhai Guo","doi":"10.1109/ICCST53801.2021.00095","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00095","url":null,"abstract":"Virtual Reality (VR) technology has become ever more popular with consumers in recent years. However, dizziness brought by VR greatly affects its experience, especially VR motion sickness. Therefore, the industry needs in order to study how to improve the comfort of VR motion pictures. The subject conducts subjective evaluation experiments through the constructed virtual 3D scene. The relationship between the height and speed of the VR camera, as well as the gender of the audience and VR motion sickness, is considered by subjective evaluation experiments. Viewer’s VR motion sickness is the least obvious when the viewer is close to the height and average pace, and women are more likely to be dizzy to VR than men, which are proved by experimental results.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"1 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":"130952438","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/ICCST53801.2021.00093
Huijuan Guo, Baoning Niu, Ying Huang, Hu Guan, Fangpeng Lan, Fei Lin
This paper presents a novel image watermarking algorithm based on Discrete Cosine Transform (DCT). To imbed the watermark, we first divide the image into non-overlapping partition. Then, after applying DCT, named as one-level DCT, to the host images blocks, and DC coefficients of each block are extracted. Next, we perform DCT again, named as two-level DCT, on the matrix comprised of the selected DC coefficients of each image blocks. Finally, the watermark is embedded on the part of the coefficients after the two-level DCT. The host signal interference (HIS) is the persistent concern in the spread spectrum principle. This paper overcomes the drawback by substituting spread spectrum watermark (SSW) for the original values. However, in the traditional way, these original values are modified by adding with SSW. Moreover, fixed-number blocks for image segmentation plays an important role in resisting scaling attacks. Experimental results demonstrate that the proposed method is resilient to many kinds of image processing attacks and geometric distortions, such as filtering, noise adding, JPEG compression, scaling, aspect ratio change and some kinds of combined transforms.
{"title":"An Improved Robust Digital Image Watermarking Algorithm based on two-level DCT","authors":"Huijuan Guo, Baoning Niu, Ying Huang, Hu Guan, Fangpeng Lan, Fei Lin","doi":"10.1109/ICCST53801.2021.00093","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00093","url":null,"abstract":"This paper presents a novel image watermarking algorithm based on Discrete Cosine Transform (DCT). To imbed the watermark, we first divide the image into non-overlapping partition. Then, after applying DCT, named as one-level DCT, to the host images blocks, and DC coefficients of each block are extracted. Next, we perform DCT again, named as two-level DCT, on the matrix comprised of the selected DC coefficients of each image blocks. Finally, the watermark is embedded on the part of the coefficients after the two-level DCT. The host signal interference (HIS) is the persistent concern in the spread spectrum principle. This paper overcomes the drawback by substituting spread spectrum watermark (SSW) for the original values. However, in the traditional way, these original values are modified by adding with SSW. Moreover, fixed-number blocks for image segmentation plays an important role in resisting scaling attacks. Experimental results demonstrate that the proposed method is resilient to many kinds of image processing attacks and geometric distortions, such as filtering, noise adding, JPEG compression, scaling, aspect ratio change and some kinds of combined transforms.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"107 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":"125466071","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/ICCST53801.2021.00131
Zhongwen Tu, Bin Liu, Wei Zhao, Baoyu Cao
In order to provide an effective and available database for speech emotion recognition and research on broadcast speech, an speech emotion database based on broadcast vocalization method is established, which contains seven discrete emotions, namely, happy, very happy, sad, very sad, angry, very angry and neutral. The database is recorded by four graduate students (two male and two female) from Communication University of China, who majoring in broadcasting and anchoring, at the professional recording room in a performance way. To prove the effectiveness of the database, an evaluation group of 10 people, both professional and nonprofessional, was organized to conduct a subjective evaluation experiment on the randomly selected samples from the database. The experiment results show that this database is an effective and reliable Chinese speech emotion database of broadcasting.
{"title":"Establishment of Chinese Speech Emotion Database of Broadcasting","authors":"Zhongwen Tu, Bin Liu, Wei Zhao, Baoyu Cao","doi":"10.1109/ICCST53801.2021.00131","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00131","url":null,"abstract":"In order to provide an effective and available database for speech emotion recognition and research on broadcast speech, an speech emotion database based on broadcast vocalization method is established, which contains seven discrete emotions, namely, happy, very happy, sad, very sad, angry, very angry and neutral. The database is recorded by four graduate students (two male and two female) from Communication University of China, who majoring in broadcasting and anchoring, at the professional recording room in a performance way. To prove the effectiveness of the database, an evaluation group of 10 people, both professional and nonprofessional, was organized to conduct a subjective evaluation experiment on the randomly selected samples from the database. The experiment results show that this database is an effective and reliable Chinese speech emotion database of broadcasting.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"6 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":"131700490","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/ICCST53801.2021.00023
Xiao Gong, Qian Chen, Huan Chen, Guanchun Xu
E-sports is a new kind of virtual competition between people playing electronic games. In recent years, E-sports players and audiences have continued to grow, and the scale of E-sports competitions has evolved from simple single or double player confrontations to an official event in the Asian Games. The influence of E-sports is increasing daily on a global scale, and the huge economic value it brings is also favored by investors. E-sports has gradually formed a large-scale industrial chain and it is becoming an important sector in the field of science and technology that is also culturally oriented. This article aims to study the characteristics and elements of E-sports, and put forward some suggestions and conclusions for the E-sports industry based on in-depth analysis.
{"title":"Research on virtual competitive form based on E-sports games","authors":"Xiao Gong, Qian Chen, Huan Chen, Guanchun Xu","doi":"10.1109/ICCST53801.2021.00023","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00023","url":null,"abstract":"E-sports is a new kind of virtual competition between people playing electronic games. In recent years, E-sports players and audiences have continued to grow, and the scale of E-sports competitions has evolved from simple single or double player confrontations to an official event in the Asian Games. The influence of E-sports is increasing daily on a global scale, and the huge economic value it brings is also favored by investors. E-sports has gradually formed a large-scale industrial chain and it is becoming an important sector in the field of science and technology that is also culturally oriented. This article aims to study the characteristics and elements of E-sports, and put forward some suggestions and conclusions for the E-sports industry based on in-depth analysis.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"96 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":"123026248","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/ICCST53801.2021.00025
Guotong Di, Haokun Li, Jie Xu
Augmented reality (AR) has entered our lives, and it is likely to become the next generation of human-computer interaction technology. In order to bring a more immersive augmented reality experience, this paper introduces an augmented reality method that can integrate traditional media with real scenes based on ARKit. Through scene recognition, plane detection, 3D modeling and other technologies, traditional media is integrated into the real scenes to give users an immersive feeling. In addition, this paper designs a hierarchical augmented reality experience based on the processing capabilities of different devices and scene information, avoiding the impact of device differences and lack of scene information on the augmented reality experience.
{"title":"An Augmented Reality Design Method Based on ARKit for the Fusion of Hierarchical Traditional Media and Real Scenes","authors":"Guotong Di, Haokun Li, Jie Xu","doi":"10.1109/ICCST53801.2021.00025","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00025","url":null,"abstract":"Augmented reality (AR) has entered our lives, and it is likely to become the next generation of human-computer interaction technology. In order to bring a more immersive augmented reality experience, this paper introduces an augmented reality method that can integrate traditional media with real scenes based on ARKit. Through scene recognition, plane detection, 3D modeling and other technologies, traditional media is integrated into the real scenes to give users an immersive feeling. In addition, this paper designs a hierarchical augmented reality experience based on the processing capabilities of different devices and scene information, avoiding the impact of device differences and lack of scene information on the augmented reality experience.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"49 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":"128575279","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/ICCST53801.2021.00138
Heyang Su
Emotion, as an essential element in communication, is becoming increasingly important and influential in the era of social media. The expression of social media users also has more and more emotional characteristics. Based on the framework of emotional expression, this study encodes the collected 49 microblogs published by China’s official media accounts and their comments during COVID-19, and discusses the relationship between account types, text forms, discussion intensity and emotional expression tendency. It is found that account types and discussion intensity have a correlation with the emotional expression of Weibo users, while the correlation between text forms and emotional expression is not obvious. This study analyzes the emotional expression of social media and reflects on how to correctly understand the phenomenon of emotional expression and avoid the occurrence of “post-truth” events.
{"title":"Emotional Expression of Weibo Users in China during the COVID-19","authors":"Heyang Su","doi":"10.1109/ICCST53801.2021.00138","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00138","url":null,"abstract":"Emotion, as an essential element in communication, is becoming increasingly important and influential in the era of social media. The expression of social media users also has more and more emotional characteristics. Based on the framework of emotional expression, this study encodes the collected 49 microblogs published by China’s official media accounts and their comments during COVID-19, and discusses the relationship between account types, text forms, discussion intensity and emotional expression tendency. It is found that account types and discussion intensity have a correlation with the emotional expression of Weibo users, while the correlation between text forms and emotional expression is not obvious. This study analyzes the emotional expression of social media and reflects on how to correctly understand the phenomenon of emotional expression and avoid the occurrence of “post-truth” events.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"121 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":"115881054","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/ICCST53801.2021.00063
Zeya Song, Chunling Dong, Peiyan Du
To investigate the propagation mechanism of public opinion in social networks, this paper investigates the influence of initial propagation nodes on propagating public opinion and whether individuals participate in the propagation strategy based on evolutionary game theory. Experimental simulations of SIR contagion model propagation and game strategy learning are done in small-world networks, scale-free networks, and Facebook friend networks using different node influence calculation methods to select initial propagation nodes.
{"title":"Evolutionary Game Propagation Model on Social Networks","authors":"Zeya Song, Chunling Dong, Peiyan Du","doi":"10.1109/ICCST53801.2021.00063","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00063","url":null,"abstract":"To investigate the propagation mechanism of public opinion in social networks, this paper investigates the influence of initial propagation nodes on propagating public opinion and whether individuals participate in the propagation strategy based on evolutionary game theory. Experimental simulations of SIR contagion model propagation and game strategy learning are done in small-world networks, scale-free networks, and Facebook friend networks using different node influence calculation methods to select initial propagation nodes.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":"386 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":"115901661","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/ICCST53801.2021.00090
Tie Wang, Yutian Wang, Mingzhe Liu
We have studied a price prediction method based on CatBoost, which can evaluate and predict the value of objects. In our approach, we applied many advanced and popular techniques of feature engineering. Also, we compared and analyzed different models, including linear models, tree-based models, and deep learning in the modelling part. Specifically, we have applied it to the housing price prediction, which has verified the effectiveness of our method. Our method can not only be used to predict housing prices, but also to evaluate or predict the value of other objects, such as cultural objects or artworks.
{"title":"A Price Prediction Method Based on CatBoost","authors":"Tie Wang, Yutian Wang, Mingzhe Liu","doi":"10.1109/ICCST53801.2021.00090","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00090","url":null,"abstract":"We have studied a price prediction method based on CatBoost, which can evaluate and predict the value of objects. In our approach, we applied many advanced and popular techniques of feature engineering. Also, we compared and analyzed different models, including linear models, tree-based models, and deep learning in the modelling part. Specifically, we have applied it to the housing price prediction, which has verified the effectiveness of our method. Our method can not only be used to predict housing prices, but also to evaluate or predict the value of other objects, such as cultural objects or artworks.","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":"116875856","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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