The Influence of Folk Sports Culture on Rural Governance Based on Computer Sensor Network
At present, in the process of RG (rural governance), problems such as the decline of social morality, the lack of collective identity, the lack of cohesion, and the low degree of autonomy have plagued the improvement of RG quality. FSC (folk sports culture) can promote good social governance with it...
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description | At present, in the process of RG (rural governance), problems such as the decline of social morality, the lack of collective identity, the lack of cohesion, and the low degree of autonomy have plagued the improvement of RG quality. FSC (folk sports culture) can promote good social governance with its positive role. As an informal system, FSC heritage derived from traditional society continues its strong vitality and flexibility in modern RG. This paper presents an RG model based on CSN (computer sensor network). The model takes the individual generated content of social media as the sensor data source and perceives the security situation of the online society and the real society through the data of netizens’ behaviors, emotions, and attitudes. The results show that the RMSE of the particles obtained by the improved resampling algorithm is slightly better than that of the traditional resampling algorithm, and the RMSE basically fluctuates between 0.36 and 0.45. This can reflect the effectiveness of the resampling algorithm in this chapter. FSC can play an important role in improving villagers’ political literacy, solving the problem of providing for the aged, maintaining rural stability, establishing rural organizations, and developing public welfare undertakings. |
doi_str_mv | 10.1155/2022/7606174 |
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FSC (folk sports culture) can promote good social governance with its positive role. As an informal system, FSC heritage derived from traditional society continues its strong vitality and flexibility in modern RG. This paper presents an RG model based on CSN (computer sensor network). The model takes the individual generated content of social media as the sensor data source and perceives the security situation of the online society and the real society through the data of netizens’ behaviors, emotions, and attitudes. The results show that the RMSE of the particles obtained by the improved resampling algorithm is slightly better than that of the traditional resampling algorithm, and the RMSE basically fluctuates between 0.36 and 0.45. This can reflect the effectiveness of the resampling algorithm in this chapter. FSC can play an important role in improving villagers’ political literacy, solving the problem of providing for the aged, maintaining rural stability, establishing rural organizations, and developing public welfare undertakings.</description><identifier>ISSN: 1530-8669</identifier><identifier>EISSN: 1530-8677</identifier><identifier>DOI: 10.1155/2022/7606174</identifier><language>eng</language><publisher>Oxford: Hindawi</publisher><subject>Accuracy ; Algorithms ; Collaboration ; Computer networks ; Culture ; Genealogy ; Localization ; Modernization ; Nation states ; National identity ; Politics ; Resampling ; Research methodology ; Rural areas ; Sensors ; Social capital ; Society ; Sports ; Wireless communications</subject><ispartof>Wireless communications and mobile computing, 2022-07, Vol.2022, p.1-9</ispartof><rights>Copyright © 2022 Zhigang Tan et al.</rights><rights>Copyright © 2022 Zhigang Tan et al. 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Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c294t-986f124043d752ebc20a505e9bc820e27441238397c7b9bd4f838d98073fa7403</cites><orcidid>0000-0002-8231-4972 ; 0000-0002-5298-0106</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><contributor>Rajakani, Kalidoss</contributor><contributor>Kalidoss Rajakani</contributor><creatorcontrib>Tan, Zhigang</creatorcontrib><creatorcontrib>Tan, Qingwen</creatorcontrib><creatorcontrib>Nguyen, Oanh</creatorcontrib><title>The Influence of Folk Sports Culture on Rural Governance Based on Computer Sensor Network</title><title>Wireless communications and mobile computing</title><description>At present, in the process of RG (rural governance), problems such as the decline of social morality, the lack of collective identity, the lack of cohesion, and the low degree of autonomy have plagued the improvement of RG quality. FSC (folk sports culture) can promote good social governance with its positive role. As an informal system, FSC heritage derived from traditional society continues its strong vitality and flexibility in modern RG. This paper presents an RG model based on CSN (computer sensor network). The model takes the individual generated content of social media as the sensor data source and perceives the security situation of the online society and the real society through the data of netizens’ behaviors, emotions, and attitudes. The results show that the RMSE of the particles obtained by the improved resampling algorithm is slightly better than that of the traditional resampling algorithm, and the RMSE basically fluctuates between 0.36 and 0.45. This can reflect the effectiveness of the resampling algorithm in this chapter. 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FSC (folk sports culture) can promote good social governance with its positive role. As an informal system, FSC heritage derived from traditional society continues its strong vitality and flexibility in modern RG. This paper presents an RG model based on CSN (computer sensor network). The model takes the individual generated content of social media as the sensor data source and perceives the security situation of the online society and the real society through the data of netizens’ behaviors, emotions, and attitudes. The results show that the RMSE of the particles obtained by the improved resampling algorithm is slightly better than that of the traditional resampling algorithm, and the RMSE basically fluctuates between 0.36 and 0.45. This can reflect the effectiveness of the resampling algorithm in this chapter. 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subjects | Accuracy Algorithms Collaboration Computer networks Culture Genealogy Localization Modernization Nation states National identity Politics Resampling Research methodology Rural areas Sensors Social capital Society Sports Wireless communications |
title | The Influence of Folk Sports Culture on Rural Governance Based on Computer Sensor Network |
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