首页期刊导航|武汉大学自然科学学报(英文版)
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武汉大学自然科学学报(英文版)
武汉大学自然科学学报(英文版)

刘经南

双月刊

1007-1202

Whdy@whu.edu.cn

027-68752259

430072

湖北武昌珞珈山武汉大学梅园一舍

武汉大学自然科学学报(英文版)/Journal Wuhan University Journal of Natural SciencesCSCDCSTPCD北大核心
查看更多>>本刊创刊于1996年。本刊是自然科学综合性学术期刊,主要刊登自然科学各学科的最新研究成果。本刊已被《EI》、《CA》、《SA》、《AJ》、《JOURICK》、《MR》等作为刊源收录,《SCI》正在对本刊进行评估。
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    High Payload Reversible Data Hiding for Encrypted Image with Homomorphic Encryption

    LI XinyanMOU Huajian
    445-451页
    查看更多>>摘要:This paper proposes a novel reversible data hiding scheme for encrypted images with high payload based on homomorphic encryption.In this algorithm,each pixel of the original image is firstly divided into five parts,which are to be encrypted by applying the homomorphic application based on the Paillier algorithm.Then a serial of operations are carried out in the encrypted domain so as to embed the additional data into the encrypted image.Finally,the embedded additional data can be perfectly extracted,and the host image can be recovered without error when the marked image is decrypted directly.Security analysis,extensive experiment results and comparisons illustrate that it has high security,and the original image recovery is free of any error.Meanwhile,the embedding capacity of this algorithm is enhanced when compared with other literatures.

    A Novel Nonlinear Scaling Method for Optimal Motion Cueing Algorithm in Flight Simulator

    ZHU DaoyangDUAN ShaoliSHANG JinqiuGUO Ping...
    452-460页
    查看更多>>摘要:Motion cueing algorithm plays a key role in simulator motion reproduction and improves the realism of movement sensation by combining with the human vestibular system.It is well established that scaling & limiting should be used to decrease the amplitude of the acceleration and angular velocity signals for making full use of limited workspace of motion platform.A novel nonlinear scaling method based on a third-order polynomial and back propagation (BP) neural networks for the motion cueing algorithm is proposed in this paper.The third-order polynomial method is applied to the low amplitude segment of the input signal to minimize the trigger delay of the sensation acceleration;in the high amplitude segment,the BP neural network is used to adaptively adjust the scaling factor of the input signal,to avoid washout displacement and angular displacement beyond the boundary of the workspace.The simulation experiment is verified in the longitudinal/pitch direction for flight simulator,and the result implies that the proposed method not only can overcome the problem of constant scaling parameter and improve motion platform workspace utilization,but also reduce the false cues during the motion simulation process.

    A Lightweight Improved U-Net with Shallow Features Combination and Its Application to Defect Detection

    WU HongSUN XiankunXIONG Yujie
    461-468页
    查看更多>>摘要:In order to solve the problems of shallow features loss and high computation cost of U-Net,we propose a lightweight with shallow features combination (IU-Net).IU-Net adds several convolution layers and short links to the skip path to extract more shallow features.At the same time,the original convolution is replaced by the depth-wise separable convolution to reduce the calculation cost and the number of parameters.IU-Net is applied to detecting small metal industrial products defects.It is evaluated on our own SUES-Washer dataset to verify the effectiveness.Experimental results demonstrate that our proposed method outperforms the original U-Net,and it has 1.73%,2.08% and 11.2% improvement in the intersection over union,accuracy,and detection time,respectively,which satisfies the requirements of industrial detection.

    Bus Scheduling Using a Skip-Stop Strategy Based on Stop Relevance

    GUO CongWANG XiaolinSU WenhengSUN Feng...
    469-476页
    查看更多>>摘要:This research aims to propose an efficient and economic operation mode for bus scheduling optimization by combining with the skip-stop buses and all-stop buses.The skip-stop tactics in bus operation provide service of high efficiency,good punctuality and high speed for long distance commuters,which attracts wide scholarly attention.This paper establishes a model to quantitatively evaluate the relevance between stops,and then develops a new optimization method of skip-stop tactics using the data sets of IC card and bus GPS trajectory.A collaborating scheduling optimization model considering the support and confidence among the stops is proposed to precisely suit passengers' demands and improve bus service.The optimization objective is to reduce the passengers' total travel time,the number of vehicles in use,and operation energy for both the user's and the operator's benefits.This methodology is developed for a single-directional route using a multi-decision choice model with genetic algorithm applied to attain efficient solutions.A case study of Qingdao,which is assessed in this new model,shows a reduction of 18.31% in total passenger travel time and 17.65% in the operational inputs as compared with solutions that do not consider the skip-stop tactics.