Pub Date : 2021-11-01DOI: 10.1109/ICCST53801.2021.00094
Yuan-Yuan Zhou, Yi-Xi Liu, Xiu-Ping Ge
We analyzed differences in the physiological benefits provided by different waterfront landscape forms, including still water, running water, falling water, and fountains. The results showed that falling water provided the greatest physiological benefit, while fountains provided the smallest benefit. Based on these results, we suggest the use of more falling water forms and fewer fountains in the design of waterfront landscapes.
{"title":"The Influence of Urban Waterfront Space Landscape Form on the User’s Physiology","authors":"Yuan-Yuan Zhou, Yi-Xi Liu, Xiu-Ping Ge","doi":"10.1109/ICCST53801.2021.00094","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00094","url":null,"abstract":"We analyzed differences in the physiological benefits provided by different waterfront landscape forms, including still water, running water, falling water, and fountains. The results showed that falling water provided the greatest physiological benefit, while fountains provided the smallest benefit. Based on these results, we suggest the use of more falling water forms and fewer fountains in the design of waterfront landscapes.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122381286","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/ICCST53801.2021.00120
H. Liang, Baihui Tang, Sanxing Cao
The development of mobile Internet, smart terminals and cloud computing has promoted the advent of the era of media convergence. And Converged Media Centers in various regions had gradually been established, assuming the responsibility for disseminating news and current affairs and guiding and supervising public opinion. The study of comment texts under the converged media platforms is more targeted. In addition, this research is of great significance to the supervision and guidance of local public. This paper applies the BERT (Bidirectional Encoder Representation from Transformers) model to the sentiment analysis of comment texts on a converged media platform. In this experiment, the data used are the comment texts collected by our laboratory under the videos, which were posted by a part of the Converged Media Center accounts on the Douyin platform. By fine-tuning the pre-trained BERT model, and then the results obtained are classified and processed through the constructed neural network model. The accuracy of the validation set is 85.83%. Compared with other models, this method has a significant improvement in classification accuracy. When it is applied to a converged media platform, it is very possible to obtain correct classification results.
移动互联网、智能终端、云计算的发展，推动了媒体融合时代的到来。各地逐步建立融合媒体中心，承担新闻时事传播和舆论引导监督的职责。融合媒体平台下的评论文本研究更具针对性。此外，本研究对地方公众的监督和指导具有重要意义。本文将BERT (Bidirectional Encoder Representation from Transformers)模型应用于融合媒体平台上评论文本的情感分析。在本实验中，使用的数据是我们实验室在视频下收集的评论文本，这些评论文本是由抖音平台上部分融合媒体中心账号发布的。通过对预训练的BERT模型进行微调，然后通过构建的神经网络模型对得到的结果进行分类和处理。验证集的准确率为85.83%。与其他模型相比，该方法在分类精度上有显著提高。当将其应用于融合媒体平台时，极有可能获得正确的分类结果。
{"title":"Sentiment Analysis of Comment Texts on Converged Media Platforms based on BERT Model","authors":"H. Liang, Baihui Tang, Sanxing Cao","doi":"10.1109/ICCST53801.2021.00120","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00120","url":null,"abstract":"The development of mobile Internet, smart terminals and cloud computing has promoted the advent of the era of media convergence. And Converged Media Centers in various regions had gradually been established, assuming the responsibility for disseminating news and current affairs and guiding and supervising public opinion. The study of comment texts under the converged media platforms is more targeted. In addition, this research is of great significance to the supervision and guidance of local public. This paper applies the BERT (Bidirectional Encoder Representation from Transformers) model to the sentiment analysis of comment texts on a converged media platform. In this experiment, the data used are the comment texts collected by our laboratory under the videos, which were posted by a part of the Converged Media Center accounts on the Douyin platform. By fine-tuning the pre-trained BERT model, and then the results obtained are classified and processed through the constructed neural network model. The accuracy of the validation set is 85.83%. Compared with other models, this method has a significant improvement in classification accuracy. When it is applied to a converged media platform, it is very possible to obtain correct classification results.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128086191","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}
The rising prosperity of today’s society and the country’s advancement in science, technology and social productivity have been accompanied by a higher level of material needs of the people and their increasing demand for cultural life. In today’s life, all manner of enriched cultural activities have become common occurrences. Nevertheless, prominent security issues are arising from the booming performing arts industry. As commonly observed in cultural and artistic performances, spectators in the stands would often follow the rhythm of music or dance moves and are unable to suppress their emotions and rhythmical body movements, which will pose different dynamic loads on the stands and might even lead to the collapse of the stage. For the purpose of solving the above-mentioned issues, fiber grating is applied to measure the strain of the stands, and the influence of the movements following the music rhythm of the spectators on the stands is investigated in this paper.
{"title":"Analysis on Impact Force of Rhythmical Body Movement on Temporary Spectator Stand","authors":"Yitu Huang, Mengqi Jin, Jiahui Wei, Shuailong Yang, Jiale Li, Jian Feng, Hanxi Wang","doi":"10.1109/ICCST53801.2021.00140","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00140","url":null,"abstract":"The rising prosperity of today’s society and the country’s advancement in science, technology and social productivity have been accompanied by a higher level of material needs of the people and their increasing demand for cultural life. In today’s life, all manner of enriched cultural activities have become common occurrences. Nevertheless, prominent security issues are arising from the booming performing arts industry. As commonly observed in cultural and artistic performances, spectators in the stands would often follow the rhythm of music or dance moves and are unable to suppress their emotions and rhythmical body movements, which will pose different dynamic loads on the stands and might even lead to the collapse of the stage. For the purpose of solving the above-mentioned issues, fiber grating is applied to measure the strain of the stands, and the influence of the movements following the music rhythm of the spectators on the stands is investigated in this paper.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131761287","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/ICCST53801.2021.00070
Yan Wang, Lingling Tian, Di Liu, Aiping Tan, Jiaqi Hu
Time series data classification plays a vital role in the financial analysis of cultural and technological integration enterprises. Still, the current classification of time series data mainly focuses on a single dimension and does not fully consider the dynamics of time series data, resulting in inaccurate classification results. Given the above shortcomings, multidimensional time series are studied, shapelets unit and dimension correlation are defined, and a dynamic classification method of time series data based on multi-dimensional shapelets is proposed. The algorithm screens out the optimal time series for generating shapelets candidate sets from multiple dimensions of the sample, and calculates the correlation coefficient to measure the correlation between the dimensions, and is used to construct the shapelets unit; it is also designed to dynamically update the key parameters to complete double discriminant classification algorithm for classification operation. At the end of the paper, experiments are conducted based on multiple data sets. The experiments show that even in a small sample size, the accuracy of the algorithm designed in this article can reach more than 60%. Furthermore, compared with existing classification algorithms, the classification accuracy of objects with multi-dimensional time-series features is improved by at least 8%.
{"title":"A Dynamic Classification Method of Time-Series Data Based on Multidimensional Shapelets","authors":"Yan Wang, Lingling Tian, Di Liu, Aiping Tan, Jiaqi Hu","doi":"10.1109/ICCST53801.2021.00070","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00070","url":null,"abstract":"Time series data classification plays a vital role in the financial analysis of cultural and technological integration enterprises. Still, the current classification of time series data mainly focuses on a single dimension and does not fully consider the dynamics of time series data, resulting in inaccurate classification results. Given the above shortcomings, multidimensional time series are studied, shapelets unit and dimension correlation are defined, and a dynamic classification method of time series data based on multi-dimensional shapelets is proposed. The algorithm screens out the optimal time series for generating shapelets candidate sets from multiple dimensions of the sample, and calculates the correlation coefficient to measure the correlation between the dimensions, and is used to construct the shapelets unit; it is also designed to dynamically update the key parameters to complete double discriminant classification algorithm for classification operation. At the end of the paper, experiments are conducted based on multiple data sets. The experiments show that even in a small sample size, the accuracy of the algorithm designed in this article can reach more than 60%. Furthermore, compared with existing classification algorithms, the classification accuracy of objects with multi-dimensional time-series features is improved by at least 8%.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132166347","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/ICCST53801.2021.00141
Xia Sun, Rui Zhao, Yifan Gong
Net language resulting from the development of internet and social media serves a special tool for netizens to communicate and bond with each other in computer-mediated communication which involves not only synchronic but also asynchronous ways. Systemic Functional Linguistics believes that any language performs three metafunctions: ideational, interpersonal, and textual. This paper analyzes these three metafunctions of net language and elaborates on the specific field, tenor and mode of net language.
{"title":"Metafunction Analysis of Net Language","authors":"Xia Sun, Rui Zhao, Yifan Gong","doi":"10.1109/ICCST53801.2021.00141","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00141","url":null,"abstract":"Net language resulting from the development of internet and social media serves a special tool for netizens to communicate and bond with each other in computer-mediated communication which involves not only synchronic but also asynchronous ways. Systemic Functional Linguistics believes that any language performs three metafunctions: ideational, interpersonal, and textual. This paper analyzes these three metafunctions of net language and elaborates on the specific field, tenor and mode of net language.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133971200","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/ICCST53801.2021.00121
Yihong Shen, Jing Zhou, Weiguo Lin
With the rapid development of the e-sports industry, various competitions are being held. The most high-profile events are those related to League of Legends, where not only are design companies struggling to provide players with a wider selection of champions, but club tournament analysts are also focusing on line-up. Since there are strong relationship constraints between champions, it becomes a valuable research topic to design a champion lineup selection recommender for players and e-sports athletes. Using the data of the 2020 summer tournament and of the players in the same period, we proposed a recommendation scheme of the champion lineup based on the knowledge graph technique and the results were verified and analyzed.
随着电子竞技产业的快速发展，各种比赛层出不穷。最引人注目的赛事是与《英雄联盟》(League of Legends)有关的赛事，不仅设计公司努力为玩家提供更广泛的冠军选择，俱乐部锦标赛分析师也在关注阵容。由于冠军之间存在较强的关系约束，因此设计一个面向玩家和电子竞技运动员的冠军阵容选择推荐系统成为一个有价值的研究课题。利用2020年夏季赛和同期选手数据，提出了基于知识图谱技术的冠军阵容推荐方案，并对结果进行了验证和分析。
{"title":"Knowledge Graph-Based MOBA-Game Champion Recommendation","authors":"Yihong Shen, Jing Zhou, Weiguo Lin","doi":"10.1109/ICCST53801.2021.00121","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00121","url":null,"abstract":"With the rapid development of the e-sports industry, various competitions are being held. The most high-profile events are those related to League of Legends, where not only are design companies struggling to provide players with a wider selection of champions, but club tournament analysts are also focusing on line-up. Since there are strong relationship constraints between champions, it becomes a valuable research topic to design a champion lineup selection recommender for players and e-sports athletes. Using the data of the 2020 summer tournament and of the players in the same period, we proposed a recommendation scheme of the champion lineup based on the knowledge graph technique and the results were verified and analyzed.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133379578","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/ICCST53801.2021.00035
Li-juan Zhou, Zhongju Liang, Zhao Wu, Baorui Mei, Gaoqing Nie
Based on the professional content knowledge aggregation service platform built, this paper proposes a new form of learning model combining online and offline, and makes use of the big data analysis of users’ learning behavior on the online knowledge service platform to provide personalized learning recommendation, knowledge interpretation, knowledge answering and other knowledge services to offline users. Offline users can realize quick navigation from offline learning to online knowledge service platform through intelligent identification technologies such as panoramic formula identification and retrieval, and enjoy various knowledge and learning services provided online. This paper discusses the evolution of learning models, the construction of new forms of learning models, the comparison between traditional learning models and new forms of learning models, and puts forward three innovative advantages of online and offline learning interaction, so as to promote learners’ learning through differential knowledge services.
{"title":"Research on the new form learning model based on knowledge services","authors":"Li-juan Zhou, Zhongju Liang, Zhao Wu, Baorui Mei, Gaoqing Nie","doi":"10.1109/ICCST53801.2021.00035","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00035","url":null,"abstract":"Based on the professional content knowledge aggregation service platform built, this paper proposes a new form of learning model combining online and offline, and makes use of the big data analysis of users’ learning behavior on the online knowledge service platform to provide personalized learning recommendation, knowledge interpretation, knowledge answering and other knowledge services to offline users. Offline users can realize quick navigation from offline learning to online knowledge service platform through intelligent identification technologies such as panoramic formula identification and retrieval, and enjoy various knowledge and learning services provided online. This paper discusses the evolution of learning models, the construction of new forms of learning models, the comparison between traditional learning models and new forms of learning models, and puts forward three innovative advantages of online and offline learning interaction, so as to promote learners’ learning through differential knowledge services.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115203299","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/ICCST53801.2021.00041
Lin Wu, Tuo Shi, Yongbin Wang, Huiming Chen, W. Lam
We study a novel stochastic version of damped and regularized limited memory Broyden-Fletcher-Goldfarb-Shanno (Sd-REG-LBFGS) method for nonconvex optimization problems in this paper. Different from BFGS updating scheme for the strongly convex problems, it is a challenge to preserve the product of the correction pairs positive at each iteration for BFGS in nonconvex case. While utilizing regularization scheme to ensure the robustness of the second-order methods. The proposed method is able to keep the product of correction pairs being away from zero above a specified degree. To make the proposed method robust and computationally efficient, we propose to update curvature information at a spaced interval, in which the average of iterate points is utilized. The numerical experiments have shown that our proposed algorithm has better performance than SdLBFGS or they have almost the same performance. Especially in the problems which utilizes few samples, the proposed method has avoided the ill-conditioned problem and exhibited superior performance.
{"title":"A Robust Stochastic Quasi-Newton Method with the Application in Machine Learning","authors":"Lin Wu, Tuo Shi, Yongbin Wang, Huiming Chen, W. Lam","doi":"10.1109/ICCST53801.2021.00041","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00041","url":null,"abstract":"We study a novel stochastic version of damped and regularized limited memory Broyden-Fletcher-Goldfarb-Shanno (Sd-REG-LBFGS) method for nonconvex optimization problems in this paper. Different from BFGS updating scheme for the strongly convex problems, it is a challenge to preserve the product of the correction pairs positive at each iteration for BFGS in nonconvex case. While utilizing regularization scheme to ensure the robustness of the second-order methods. The proposed method is able to keep the product of correction pairs being away from zero above a specified degree. To make the proposed method robust and computationally efficient, we propose to update curvature information at a spaced interval, in which the average of iterate points is utilized. The numerical experiments have shown that our proposed algorithm has better performance than SdLBFGS or they have almost the same performance. Especially in the problems which utilizes few samples, the proposed method has avoided the ill-conditioned problem and exhibited superior performance.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122424983","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/ICCST53801.2021.00065
Jie Wang, Yu Zhang
The Internet of Things (IoT) is an extension of the existing internet that enables contact, interaction, and internet functioning between different devices or physical objects. IoT technology is used to put forward innovative concepts and exponential development for smart home in order to boost people’s living standards, but its unique characteristics and interconnection characteristics do bring new security challenges to smart home. In smart home, the security of residents needs reliable, intuitive and automatic network system to assist management, solve the risks faced by IoT smart home, and truly reflect the advantages. This paper summarizes the current situation and development trend of Internet of Things and smart home, studies the security problems in smart home in detail, puts forward some solutions for these problems, and finally points out the research direction of future work.
{"title":"A Review on Internet of Things Based Smart Home","authors":"Jie Wang, Yu Zhang","doi":"10.1109/ICCST53801.2021.00065","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00065","url":null,"abstract":"The Internet of Things (IoT) is an extension of the existing internet that enables contact, interaction, and internet functioning between different devices or physical objects. IoT technology is used to put forward innovative concepts and exponential development for smart home in order to boost people’s living standards, but its unique characteristics and interconnection characteristics do bring new security challenges to smart home. In smart home, the security of residents needs reliable, intuitive and automatic network system to assist management, solve the risks faced by IoT smart home, and truly reflect the advantages. This paper summarizes the current situation and development trend of Internet of Things and smart home, studies the security problems in smart home in detail, puts forward some solutions for these problems, and finally points out the research direction of future work.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131112179","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/ICCST53801.2021.00132
Yuejian Zhu, Hanxi Wang
Relevant surveys indicate that the existing websites of digital cultural centers generally have three problems: insufficient user interaction, small number of users, and low user stickiness. Based on the three problems, this paper proposes the concept of open creation of virtual resources for digital cultural centers; divides the open creation function modules into three systems: an open system for literary and artistic creation/performance/collection, an open system for digital cultural resources creation, and a micro-copyright authorization and tracking system; and designs the open production process for each system module.
{"title":"Construction of Open Creation Model for Digital Cultural Center","authors":"Yuejian Zhu, Hanxi Wang","doi":"10.1109/ICCST53801.2021.00132","DOIUrl":"https://doi.org/10.1109/ICCST53801.2021.00132","url":null,"abstract":"Relevant surveys indicate that the existing websites of digital cultural centers generally have three problems: insufficient user interaction, small number of users, and low user stickiness. Based on the three problems, this paper proposes the concept of open creation of virtual resources for digital cultural centers; divides the open creation function modules into three systems: an open system for literary and artistic creation/performance/collection, an open system for digital cultural resources creation, and a micro-copyright authorization and tracking system; and designs the open production process for each system module.","PeriodicalId":222463,"journal":{"name":"2021 International Conference on Culture-oriented Science & Technology (ICCST)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129749128","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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