Home / Journals / JNM / Vol.2, No.4, 2020
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  • Open AccessOpen Access

    REVIEW

    Review of Image-Based Person Re-Identification in Deep Learning

    Junchuan Yang*
    Journal of New Media, Vol.2, No.4, pp. 137-148, 2020, DOI:10.32604/jnm.2020.014278
    Abstract Person Re-identification (re-ID) is a hot research topic in the field of computer vision now, which can be regarded as a sub-problem of image retrieval. The goal of person re-ID is to give a monitoring pedestrian image and retrieve other images of the pedestrian across the device. At present, person re-ID is mainly divided into two categories. One is the traditional methods, which relies heavily on manual features. The other is to use deep learning technology to solve. Because traditional methods mainly rely on manual feature, they cannot adapt well to a complex environment with a large amount of data.… More >

  • Open AccessOpen Access

    ARTICLE

    Robust Cultivated Land Extraction Using Encoder-Decoder

    Aziguli Wulamu1,2,*, Jingyue Sang3, Dezheng Zhang1,2, Zuxian Shi1,2
    Journal of New Media, Vol.2, No.4, pp. 149-155, 2020, DOI:10.32604/jnm.2020.014115
    Abstract Cultivated land extraction is essential for sustainable development and agriculture. In this paper, the network we propose is based on the encoderdecoder structure, which extracts the semantic segmentation neural network of cultivated land from satellite images and uses it for agricultural automation solutions. The encoder consists of two part: the first is the modified Xception, it can used as the feature extraction network, and the second is the atrous convolution, it can used to expand the receptive field and the context information to extract richer feature information. The decoder part uses the conventional upsampling operation to restore the original resolution.… More >

  • Open AccessOpen Access

    ARTICLE

    An Authentication Mechanism for Autonomous Vehicle ECU Utilizing a Novel Slice-Based PUF Design

    Jihai Yang1, Zongtao Duan1, Muyao Wang2, Jabar Mahmood1, Yuanyuan Xiao1, Yun Yang1,*
    Journal of New Media, Vol.2, No.4, pp. 157-165, 2020, DOI:10.32604/jnm.2020.014309
    Abstract Modern autonomous vehicles are getting progressively popular and increasingly getting closer to the core of future development in transportation field. However, there is no reliable authentication mechanism for the unmanned vehicle communication system, this phenomenon draws attention about the security of autonomous vehicles of people in all aspects. Physical Unclonable Function (PUF) circuits is light-weight, and it can product unique and unpredictable digital signature utilizing the manufacturing variations occur in each die and these exact silicon features cannot be recreated theoretically. Considering security issues of communication between Electronic Control Units (ECUs) in vehicles, we propose a novel delay-based PUF circuit… More >

  • Open AccessOpen Access

    ARTICLE

    Improvement of Location Algorithm in Wireless Networks

    Duolu Mao1,*, Kaiyong Li1, Yaping Mao2
    Journal of New Media, Vol.2, No.4, pp. 167-172, 2020, DOI:10.32604/jnm.2020.012816
    Abstract In order to improve the accuracy of wireless network positioning, the triangulation method of wireless network positioning technology is proposed, which is based on the linear least square fitting method. It makes the observed value and the fitting value very close, effectively solves the problem of significant contradiction between the fitting result and the observed value in the principle of least square method, and can realize the accurate measurement of geographic information by wireless network positioning technology. More >

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