Home / Journals / JNM / Vol.3, No.3, 2021
  • Open Access

    ARTICLE

    A Small Simulated Logistics Transfer Robot Car Structure Design

    Jie Kang1,*, Xiaoying Chen1, Hu Cong2, Chenghan Yang1
    Journal of New Media, Vol.3, No.3, pp. 81-87, 2021, DOI:10.32604/jnm.2021.017368
    Abstract As a new product of the development of modern science and technology, the research and development of logistics robot has become the focus of social attention. Robot sorting and handling is the designated project of Jiangsu University Robot Competition. According to the requirements of the competition, this paper designs a kind of logistics robot trolley which can identify and grab materials according to a given path and transport them to a predetermined location. The mechanical structure design, driving motor selection and mechanical checking calculation of the car are mainly completed. According to the later experiments, the results show that the… More >

  • Open Access

    WITHDRAWN

    WITHDRAWN: A PageRank-Based WeChat User Impact Assessment Algorithm

    Qiong Wang1, Yuewen Luo1, Hongliang Guo1, Peng Guo2, Jinghao Wei1, Tie Lin1,*
    Journal of New Media, Vol.3, No.3, pp. 89-98, 2021, DOI:10.32604/jnm.2021.019519
    Abstract This article has been withdrawn at the request of the editor and publisher. The Tech Science Press Policy on Article Withdrawal can be found at https://www.techscience.com/JNM/info/auth_instru. The publisher regrets that a technical error occurred, which led to the duplicate publication. We apologize to the authors and the readers for this unfortunate error and any inconvenience this may have caused. More >

  • Open Access

    ARTICLE

    Social Network Rumor Recognition Based on Enhanced Naive Bayes

    Lei Guo*
    Journal of New Media, Vol.3, No.3, pp. 99-107, 2021, DOI:10.32604/jnm.2021.019649
    Abstract In recent years, with the increasing popularity of social networks, rumors have become more common. At present, the solution to rumors in social networks is mainly through media censorship and manual reporting, but this method requires a lot of manpower and material resources, and the cost is relatively high. Therefore, research on the characteristics of rumors and automatic identification and classification of network message text is of great significance. This paper uses the Naive Bayes algorithm combined with Laplacian smoothing to identify rumors in social network texts. The first is to segment the text and remove the stop words after… More >

  • Open Access

    ARTICLE

    A Visual pH Indicator through Purple Cabbage Dye for Freshness Test of Venison

    Kaixin Qi, Guiying Wang*, Yinggang Huang, Pengfei Fang
    Journal of New Media, Vol.3, No.3, pp. 109-118, 2021, DOI:10.32604/jnm.2021.019694
    Abstract A visual pH indicator through purple cabbage dye is selected to test the freshness of venison. Chitosan and cassava starch of an equal weight were used to prepare the film-forming matrix of the indicator. The crystallization of natural purple cabbage dyes with a weight ratio of 5%, 10%, 20% and 40% were added to the matrix, respectively. The pH color test showed that the natural purple cabbage lyophilized powder with a weight ratio of 40% was the best for the pH indicator, which was used to test the freshness of venison stored at 4℃. The total bacterial count, volatile basic… More >

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