Showing 281 - 300 results of 868 for search 'Marine (ocean)', query time: 0.07s Refine Results
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    Estimation of wireless channel fading model in maritime communication for complex meteorological environment by Yasheng DAI, Bolin MA, Guangxue YUE

    Published 2022-03-01
    “…Due to the influence of complex marine environmental factors such as sparse scattering of electromagnetic wave on the ocean surface, wave shadow fading, complex meteorological environment.It is extremely hard to model the fading of wireless channel in maritime communication environment.After analyzing the influence of meteorological environment and multipath channel fading via direct-path, specular-path and diffuse-path on marine wireless communication channel fading, the estimation of wireless channel fading model in maritime communication for complex meteorological environment (EWCFM-CME) was proposed.An improved bee colony algorithm was designed to estimation the parameter of EWCFM-CME.In order to improve the efficiency and accuracy of search algorithm, an iterative function with sin(·) function as operator was designed in search scheme of bee colonies.The leading bee received the detection bee solution to update itself with probability P.It prevents the solution algorithm from falling into local optimization.The simulation results show that, compared with fluctuate two-ray (FTR) fading model and round earth loss (REL) model, the mean absolute error (MAE) of EWCFM-CME increased by 13.58% and 11.43% By comparing EWCFM-CME with cuckoo search, genetic algorithm and simulated annealing algorithm, the search time is reduced by 60.48%, 45.18% and 43.23%, respectively.…”
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    Bond-Slip Behavior of Basalt Fiber Reinforced Polymer Bar in Concrete Subjected to Simulated Marine Environment: Effects of BFRP Bar Size, Corrosion Age, and Concrete Strength by Yongmin Yang, Zhaoheng Li, Tongsheng Zhang, Jiangxiong Wei, Qijun Yu

    Published 2017-01-01
    “…Basalt Fiber Reinforced Polymer (BFRP) bars have bright potential application in concrete structures subjected to marine environment due to their superior corrosion resistance. …”
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    SDUST2023BCO: a global seafloor model determined from a multi-layer perceptron neural network using multi-source differential marine geodetic data by S. Zhou, S. Zhou, J. Guo, H. Zhang, Y. Jia, H. Sun, X. Liu, D. An

    Published 2025-01-01
    “…With the growing demand for high-precision bathymetric models, a multi-layer perceptron (MLP) neural network is used to integrate multi-source marine geodetic data in this paper. A new bathymetric model of the global ocean, spanning 180° E–180° W and 80° S–80° N, known as the Shandong University of Science and Technology 2023 Bathymetric Chart of the Oceans (SDUST2023BCO), has been constructed, with a grid size of <span class="inline-formula">1<sup>′</sup></span> <span class="inline-formula">×</span> <span class="inline-formula">1<sup>′</sup></span>. …”
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