IECE - Institute of Emerging and Computer Engineers

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    Academic Editor
    Author
    Contributions by role
    Author 1
    Editor 1
    ORCID
    0000-0001-5603-796X
    Deqiang Han
    Xi'an Jiaotong University, 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 | 27 September 2024
    A High-Efficiency Two-Layer Path Planning Method for UAVs in Vast Airspace
    by
    Tongyao Yang
    ,
    Fengbao Yang
    Chinese Journal of Information Fusion | Volume 1, Issue 2: 109-125, 2024 | DOI:10.62762/CJIF.2024.596648
    Abstract
    In response to the challenges associated with the inefficiency and poor quality of 3D path planning for Unmanned Aerial Systems (UAS) operating in vast airspace, a novel two-layer path planning method is proposed based on a divide-and-conquer methodology. This method segregates the solution process into two distinct stages: heading planning and path planning, thereby ensuring the planning of both efficiency and path quality. Firstly, the path planning phase is formulated as a multi-objective optimization problem, taking into account the environmental constraints of the UAV mission and path safety. Subsequently, the multi-dimensional environmental data is transformed into a two-dimensional pr... More >
    Graphical Abstract
    A High-Efficiency Two-Layer Path Planning Method for UAVs in Vast Airspace