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  • Economics  (2)
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  • Economics  (2)
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  • 1
    In: Mobile Information Systems, Hindawi Limited, Vol. 2022 ( 2022-9-26), p. 1-11
    Abstract: The intelligent Internet of Things is a kind of communication between various sensing systems through the sensor network and the Internet, so that everything in it can communicate. According to the agreed protocol, information is transmitted and processed and exchanged through the sensor network, and the identification and control between objects are finally realized. In the context of the intelligent Internet of Things, the ideological and political education of students will also be affected to a certain extent, so the construction of the ideological and political education evaluation system and the research on coping strategies are very important. This article is mainly to study the current situation of ideological and political education, and to construct an evaluation system, and then to give countermeasures through analysis. In this paper, the data are obtained by the method of questionnaire. The experimental results show that more than 63% of college students agree with the content of ideological and political education, and 64% believe that the methods of ideological and political education in the questionnaire are very feasible.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    RVK:
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2187808-0
    Location Call Number Limitation Availability
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  • 2
    Online Resource
    Online Resource
    Hindawi Limited ; 2021
    In:  Mobile Information Systems Vol. 2021 ( 2021-7-19), p. 1-8
    In: Mobile Information Systems, Hindawi Limited, Vol. 2021 ( 2021-7-19), p. 1-8
    Abstract: Microexpression recognition has been widely favored by researchers due to its many potential applications, such as business negotiation and lie detection. Cross-database microexpression recognition is more challenging and attractive than normal microexpression recognition because the training and testing samples come from different databases. The ensuing challenge is that the feature distributions between training and testing samples differ too much. As a result, the performance of current well-performing microexpression recognition methods often fails to achieve the desired effect. In this paper, we overcome this problem by introducing Subspace Learning and Joint Distribution Adaptation (SLJDA) by projecting the source and target domains into the subspace and later reducing the distance between them and then minimizing the distance between the marginal and conditional probability distributions of the data between the source domain and the target domain. To evaluate its performance, a large number of cross-database experiments are performed in the SMIC database and CASMEII database. The experimental results show the superiority of the method compared with existing microexpression recognition methods.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    RVK:
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2187808-0
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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