Home / Journals / JIOT / Vol.1, No.2, 2019
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  • Open AccessOpen Access

    ARTICLE

    A New Method Based on Evolutionary Algorithm for Symbolic Network Weak Unbalance

    Yirong Jiang1, Weijin Jiang2,3,4,*, Jiahui Chen2,*, Yang Wang2, Yuhui Xu2, Lina Tan2, Liang Guo5
    Journal on Internet of Things, Vol.1, No.2, pp. 41-53, 2019, DOI:10.32604/jiot.2019.07231
    Abstract The symbolic network adds the emotional information of the relationship, that is, the “+” and “-” information of the edge, which greatly enhances the modeling ability and has wide application in many fields. Weak unbalance is an important indicator to measure the network tension. This paper starts from the weak structural equilibrium theorem, and integrates the work of predecessors, and proposes the weak unbalanced algorithm EAWSB based on evolutionary algorithm. Experiments on the large symbolic networks Epinions, Slashdot and WikiElections show the effectiveness and efficiency of the proposed method. In EAWSB, this paper proposes a More >

  • Open AccessOpen Access

    ARTICLE

    Design of Intelligent Drunk Driving Detection System Based on Internet of Things

    Xiaorong Zhao1, Hongjin Zhu1, Xiufang Qian1,*, Chunpeng Ge2
    Journal on Internet of Things, Vol.1, No.2, pp. 55-62, 2019, DOI:10.32604/jiot.2019.06315
    Abstract In recent years, with the rapid development of China’s economy and the continuous improvement of people’s living standards, the number of motor vehicles and the number of drivers in the country have grown rapidly. Due to the increase in the number of vehicles and the number of motorists, the traffic accident rate is increasing, causing serious economic losses to society. According to the traffic accident statistics of the Ministry of Communications of China in 2009, more than 300,000 car accidents occurred in the year, most of which were caused by drunk driving. Therefore, this paper… More >

  • Open AccessOpen Access

    ARTICLE

    Correlation Analysis of Control Parameters of Flotation Process

    Yanpeng Wu1, Xiaoqi Peng1,*, Nur Mohammad2
    Journal on Internet of Things, Vol.1, No.2, pp. 63-69, 2019, DOI:10.32604/jiot.2019.06111
    Abstract The dosage of gold-antimony flotation process of 5 main drugs, including Copper Sulfate, Lead Nitrate, Yellow Medicine, No. 2 Oil, Black Medicine, with corresponding visual features of foam images, including Stability, Gray Scale, Mean R, Mean G, Mean B, Mean Average, Dimension and Degree Variance, were recorded. Parameter correlation analysis showed that the correlation among Copper Sulfate, Yellow Medicine, Black Medicine, as well as the correlation among Gray Scale, Mean R, Mean G, Mean B, is strong, and the correlation among Dimension, Gray Scale, Mean R, Mean G, Mean B, as well as the correlation More >

  • Open AccessOpen Access

    ARTICLE

    Research on CO Pollution Control of Motor Vehicle Exhaust

    Weiwei Liu1, *, Yang Tang2, Fei Yang2, Jin Wang3
    Journal on Internet of Things, Vol.1, No.2, pp. 71-76, 2019, DOI:10.32604/jiot.2019.05946
    Abstract Carbon monoxide (CO) is harmful to our health, and even causes death. The main source of CO is automobile exhaust. Therefore, this article determines that CO is the emission factor, and finally the evaluation model is established. The model provides an important basis for the highway construction project design, traffic management, environmental pollution control, energy saving, environmental evaluation and so on. Compared with the traditional method that calculates the road traffic volume through the air emissions model, according to the total amount of air pollution control, this paper builds the emission diffusion model, which calculates More >

  • Open AccessOpen Access

    ARTICLE

    An Influence Maximization Algorithm Based on the Influence Propagation Range of Nodes

    Yong Hua1,Bolun Chen1,2,∗,Yan Yuan1, Guochang Zhu1, Fenfen Li1
    Journal on Internet of Things, Vol.1, No.2, pp. 77-88, 2019, DOI:10.32604/jiot.2019.05941
    Abstract The problem of influence maximization in the social network G is to find k seed nodes with the maximum influence. The seed set S has a wider range of influence in the social network G than other same-size node sets. The influence of a node is usually established by using the IC model (Independent Cascade model) with a considerable amount of Monte Carlo simulations used to approximate the influence of the node. In addition, an approximate effect (1-1/e) is obtained, when the number of Monte Carlo simulations is 10000 and the probability of propagation is More >

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