IECE - Institute of Emerging and Computer Engineers

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    Academic Editor
    Author
    Contributions by role
    Author 1
    Editor 1
    ORCID
    0000-0002-3262-3005
    Jun Liu
    School of Automation, Hangzhou Dianzi University, Zhejiang 310018, China
    Summary
    Edited Journals
    Chinese Journal of Information Fusion
    IECE Contributions
    Articles
    1
    Edited
    1
    Free Access | Research Article | 07 December 2024
    Basic Belief Assignment Determination Based on Radial Basis Function Network
    by
    Wei Li
    ,
    Deqiang Han
    ,
    Jean Dezert
    ,
    Yi Yang
    Chinese Journal of Information Fusion | Volume 1, Issue 3: 175-182, 2024 | DOI:10.62762/CJIF.2024.841250
    Abstract
    In Dempster-Shafer evidence theory (DST), the determination of basic belief assignment (BBA) is an important yet challenging issue. The rational mass determination of compound focal elements is crucial for fully taking advantage of DST, i.e., the ability to represent the ambiguity. In this paper, for the compound focal elements, we select and construct the \enquote{compound-class samples} with ambiguous class membership. Then, we use these samples to construct an end-to-end model called Evidential Radial Basis Function Network (E-RBFN), with the input as the sample and the output as the corresponding BBA. The E-RBFN can directly determine the mass values for all focal elements (including the... More >
    Graphical Abstract
    Basic Belief Assignment Determination Based on Radial Basis Function Network
    Free Access | Research Article | 25 May 2024 | Cited: 4
    Research on A Ship Trajectory Classification Method Based on Deep Learning
    by
    Jun Liu
    ,
    Zhen Chen
    ,
    Jihao Zhou
    ,
    Anke Xue
    ,
    Dongliang Peng
    ,
    Yu Gu
    ,
    Huajie Chen
    Chinese Journal of Information Fusion | Volume 1, Issue 1: 3-15, 2024 | DOI:10.62762/CJIF.2024.361873
    Abstract
    The unrestricted development and utilization of marine resources have resulted in a series of practical problems, such as the destruction of marine ecology. The wide application of radar, satellites and other detection equipment has gradually led to a large variety of large-capacity marine spatiotemporal trajectory data from a vast number of sources. In the field of marine domain awareness, there is an urgent need to use relevant information technology means to control and monitor ships and accurately classify and identify ship behavior patterns through multisource data fusion analysis. In addition, the increase in the type and quantity of trajectory data has produced a corresponding increa... More >
    Graphical Abstract
    Research on A Ship Trajectory Classification Method Based on Deep Learning