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一种非常规“暗链”的清除探索

科技资讯 2024年第11期22卷 55-58页

作者：邓卫红刘伟跃张家界航空工业职业技术学院湖南张家界427000

网页被植入暗链是企事业网站、教育类网站上常见的攻击行为,攻击手法变化多样,往往不容易被轻易检测出来。笔者遇到了一种非常规的暗链,它并没有在网页中直接植入隐蔽的链接代码,并且该暗链无法在电脑端访问,只能在手机端打开。通过分... 详细信息

网页被植入暗链是企事业网站、教育类网站上常见的攻击行为,攻击手法变化多样,往往不容易被轻易检测出来。笔者遇到了一种非常规的暗链,它并没有在网页中直接植入隐蔽的链接代码,并且该暗链无法在电脑端访问,只能在手机端打开。通过分析攻击路径、木马特点、IIS日志、暗链来源等一系列的排查和探索,终于找到了暗链实现挂网的操作流程并对其进行了清除。

关键词：暗链攻击路径木马检测服务器

Fiber Bundle Topology Optimization for Surface Flows

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Chinese Journal of Mechanical Engineering 2024年第3期37卷 236-264页

作者： Yongbo deng weihong Zhang Jihong Zhu Yingjie Xu Jan G Korvink State Key Laboratory of Applied Optics Changchun Institute of OpticsFine Mechanics and PhysicsChinese Academy of SciencesChangchun 130033China State IJR Center of Aerospace Design and Additive Manufacturing Northwestern Polytechnical UniversityXi’an 710072China Institute of Microstructure Technology(IMT) Karlsruhe Institute of Technology(KIT)Hermann-von-Helmholtzplatz 176344 Eggenstein-LeopoldshafenGermany

This paper presents a topology optimization approach for the surface flows on variable design *** this approach,the matching between the pattern of a surface flow and the 2-manifold used to define the pattern can be optimized,where the 2-manifold is implicitly defined on another fixed 2-manifold named as the base *** fiber bundle topology optimization approach is developed based on the description of the topological structure of the surface flow by using the differential geometry concept of the fiber *** material distribution method is used to achieve the evolution of the pattern of the surface *** evolution of the implicit 2-manifold is realized via a homeomorphous *** design variable of the pattern of the surface flow and that of the implicit 2-manifold are regularized by two sequentially implemented surface-PDE *** two surface-PDE filters are coupled,because they are defined on the implicit 2-manifold and base manifold,*** surface Navier-Stokes equations,defined on the implicit 2-manifold,are used to describe the surface *** fiber bundle topology optimization problem is analyzed using the continuous adjoint method implemented on the first-order Sobolev *** numerical examples have been provided to demonstrate this approach,where the combination of the viscous dissipation and pressure drop is used as the design objective.

关键词： Fiber bundle Topology optimization 2-manifold Surface flow Material distribution method Porous medium model

Fourier Locally Linear Soft Constrained MACE for facial landmark localization

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CAAI Transactions on Intelligence Technology 2016年第3期1卷 241-248页

作者： Wenming Yang Xiang Sun weihong deng Chi Zhang Qingmin Liao Graduate School at Shenzhen Tsinghua University Tsinghua Campus The University Town Shenzhen 518055 China

This paper proposes a novel nonlinear correlation filter for facial landmark localization. Firstly, we prove that SVM as a classifier can also be used for localization. Then, soft constrained Minimum Average Correlation Energy filter （soft constrained MACE） is proposed, which is more resistent to overfittings to training set than other variants of correlation filter. In order to improve the performance for the multi-mode of the targets, locally linear framework is introduced to our model, which results in Fourier Locally Linear Soft Constraint MACE （FL^2 SC-MACE）. Furthermore, we formulate the fast implementation and show that the time consumption in test process is independent of the number of training samples. The merits of our method include accurate localization performance, desiring generalization capability to the variance of objects, fast testing speed and insensitivity to parameter settings. We conduct the cross-set eye localization experiments on challenging FRGC, FERET and BioID datasets. Our method surpasses the state-of-arts especially in pixelwise accuracy.

关键词： Facial landmark localization Overfitting Multimode FL^2 SC-MACE

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深度人脸表情识别研究进展

中国图象图形学报 2020年第11期25卷 2306-2320页

作者：李珊邓伟洪北京邮电大学人工智能学院北京100876

随着人脸表情识别任务逐渐从实验室受控环境转移至具有挑战性的真实世界环境,在深度学习技术的迅猛发展下,深度神经网络能够学习出具有判别能力的特征,逐渐应用于自动人脸表情识别任务。目前的深度人脸表情识别系统致力于解决以下两个问... 详细信息

随着人脸表情识别任务逐渐从实验室受控环境转移至具有挑战性的真实世界环境,在深度学习技术的迅猛发展下,深度神经网络能够学习出具有判别能力的特征,逐渐应用于自动人脸表情识别任务。目前的深度人脸表情识别系统致力于解决以下两个问题:1)由于缺乏足量训练数据导致的过拟合问题;2)真实世界环境下其他与表情无关因素变量(例如光照、头部姿态和身份特征)带来的干扰问题。本文首先对近十年深度人脸表情识别方法的研究现状以及相关人脸表情数据库的发展进行概括。然后,将目前基于深度学习的人脸表情识别方法分为两类:静态人脸表情识别和动态人脸表情识别,并对这两类方法分别进行介绍和综述。针对目前领域内先进的深度表情识别算法,对其在常见表情数据库上的性能进行了对比并详细分析了各类算法的优缺点。最后本文对该领域的未来研究方向和机遇挑战进行了总结和展望:考虑到表情本质上是面部肌肉运动的动态活动,基于动态序列的深度表情识别网络往往能够取得比静态表情识别网络更好的识别效果。此外,结合其他表情模型如面部动作单元模型以及其他多媒体模态,如音频模态和人体生理信息能够将表情识别拓展到更具有实际应用价值的场景。

关键词：人脸表情识别(FER) 真实世界深度学习综述

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持续学习改进的人脸表情识别

中国图象图形学报 2020年第11期25卷 2361-2369页

作者：江静邓伟洪北京邮电大学人工智能学院北京100876

目的大量标注数据和深度学习方法极大地提升了图像识别性能。然而,表情识别的标注数据缺乏,训练出的深度模型极易过拟合,研究表明使用人脸识别的预训练网络可以缓解这一问题。但是预训练的人脸网络可能会保留大量身份信息,不利于表情识... 详细信息

目的大量标注数据和深度学习方法极大地提升了图像识别性能。然而,表情识别的标注数据缺乏,训练出的深度模型极易过拟合,研究表明使用人脸识别的预训练网络可以缓解这一问题。但是预训练的人脸网络可能会保留大量身份信息,不利于表情识别。本文探究如何有效利用人脸识别的预训练网络来提升表情识别的性能。方法本文引入持续学习的思想,利用人脸识别和表情识别之间的联系来指导表情识别。方法指出网络中对人脸识别整体损失函数的下降贡献最大的参数与捕获人脸公共特征相关,对表情识别来说为重要参数,能够帮助感知面部特征。该方法由两个阶段组成:首先训练一个人脸识别网络,同时计算并记录网络中每个参数的重要性;然后利用预训练的模型进行表情识别的训练,同时通过限制重要参数的变化来保留模型对于面部特征的强大感知能力,另外非重要参数能够以较大的幅度变化,从而学习更多表情特有的信息。这种方法称之为参数重要性正则。结果该方法在RAF-DB(real-world affective faces database),CK+(the extended Cohn-Kanade database)和Oulu-CASIA这3个数据集上进行了实验评估。在主流数据集RAF-DB上,该方法达到了88.04%的精度,相比于直接用预训练网络微调的方法提升了1.83%。其他数据集的实验结果也表明了该方法的有效性。结论提出的参数重要性正则,通过利用人脸识别和表情识别之间的联系,充分发挥人脸识别预训练模型的作用,使得表情识别模型更加鲁棒。

关键词：深度学习表情识别(FER) 人脸识别(FR) 预训练网络持续学习参数重要性正则

Facial Landmark Localization by Gibbs Sampling

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ZTE Communications 2014年第4期12卷 23-29页

作者： Bofei Wang Diankai Zhang Chi Zhang Jiani Hu weihong deng ZTE Corporation Beijing University of Posts and Telecommunication

In this paper, we introduce a novel method for facial landmark detection. We localize facial landmarks according to the MAP crite rion. Conventional gradient ascent algorithms get stuck at the local optimal solution. Gibbs sampling is a kind of Markov Chain Monte Carlo （MCMC） algorithm. We choose it for optimization because it is easy to implement and it guarantees global conver gence. The posterior distribution is obtained by learning prior distribution and likelihood function. Prior distribution is assumed Gaussian. We use Principle Component Analysis （PCA） to reduce the dimensionality and learn the prior distribution. Local Linear Support Vector Machine （LLSVM） is used to get the likelihood function of every key point. In our experiment, we compare our de tector with some other wellknown methods. The results show that the proposed method is very simple and efficient. It can avoid trapping in local optimal solution.

关键词： facial landmarks MAP Gibbs sampling MCMC LL-SVM

A matrix metalloproteinase-responsive hydrogel system controls angiogenic peptide release for repair of cerebral ischemia/reperfusion injury

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Neural Regeneration Research 2025年第2期20卷 503-517页

作者： Qi Liu Jianye Xie Runxue Zhou Jin deng weihong Nie Shuwei Sun Haiping Wang Chunying Shi Department of Human Anatomy Histology and EmbryologySchool of Basic MedicineQingdao UniversityQingdaoShandong ProvinceChina Department of Neurology The Affiliated Hospital of Qingdao UniversityQingdaoShandong ProvinceChina Department of General Practice The Affiliated Hospital of Qingdao UniversityQingdaoShandong ProvinceChina

Vascular endothelial growth factor and its mimic peptide KLTWQELYQLKYKGI(QK)are widely used as the most potent angiogenic factors for the treatment of multiple ischemic ***,conventional topical drug delivery often results in a burst release of the drug,leading to transient retention(inefficacy)and undesirable diffusion(toxicity)in ***,a drug delivery system that responds to changes in the microenvironment of tissue regeneration and controls vascular endothelial growth factor release is crucial to improve the treatment of ischemic *** metalloproteinase-2(MMP-2)is gradually upregulated after cerebral ***,vascular endothelial growth factor mimic peptide QK was self-assembled with MMP-2-cleaved peptide PLGLAG(TIMP)and customizable peptide amphiphilic(PA)molecules to construct nanofiber hydrogel ***-TIMP-QK was found to control the delivery of QK by MMP-2 upregulation after cerebral ischemia/reperfusion and had a similar biological activity with vascular endothelial growth factor in *** results indicated that PA-TIMP-QK promoted neuronal survival,restored local blood circulation,reduced blood-brain barrier permeability,and restored motor *** findings suggest that the self-assembling nanofiber hydrogel PA-TIMP-QK may provide an intelligent drug delivery system that responds to the microenvironment and promotes regeneration and repair after cerebral ischemia/reperfusion injury.

关键词： angiogenesis biomaterial blood-brain barrier cerebral ischemia/reperfusion injury control release drug delivery inflammation QK peptides matrix metalloproteinase-2 neuroprotection self-assembling nanofiber hydrogel

1例心肺联合移植术后气管吻合口狭窄的手术配合

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护理学杂志 2005年第12期20卷 74-76页

作者：邓伟红中南大学湘雅二医院内科楼手术室湖南长沙410011

总结1例心肺联合移植术后气管吻合口狭窄的手术配合过程。提出密切手术配合、加强术中监护及呼吸道管理、预防感染是手术成功和预后良好的关键。

关键词：心肺联合移植手术后并发症气管吻合口狭窄手术中护理

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油菜秸秆对置双螺旋埋覆还田装置设计与优化

农业工程学报 2023年第21期39卷 10-17页

作者：梁方邓玮鸿罗历强王俊凯展森朋华中农业大学工学院武汉430070 农业农村部长江中下游农业装备重点实验室武汉430070

为提升油菜秸秆还田埋覆均匀性,该研究结合油菜秸秆留茬高、秆茎粗、腐解难的特点,采用粉碎-旋耕-埋覆还田组合工艺,设计油菜秸秆对置双螺旋埋覆还田装置。以埋覆秸秆质量分布变异系数和不同深度秸秆质量占比作为还田均匀性评价指标,采... 详细信息

为提升油菜秸秆还田埋覆均匀性,该研究结合油菜秸秆留茬高、秆茎粗、腐解难的特点,采用粉碎-旋耕-埋覆还田组合工艺,设计油菜秸秆对置双螺旋埋覆还田装置。以埋覆秸秆质量分布变异系数和不同深度秸秆质量占比作为还田均匀性评价指标,采用4因素4水平正交试验,分析对置双螺旋埋覆装置螺旋升角、转速、机具前进速度等参数及秸秆粉碎长度对评价指标的影响。试验结果表明:各因素对埋覆秸秆质量分布变异系数影响的显著程度从大到小依次为秸秆粉碎长度、螺旋升角、转速、机具前进速度;上层土壤0~50 mm中的秸秆质量占比最高,随着土层深度的加深,秸秆质量逐渐减少;当螺旋升角为60°、埋覆辊转速为210 r/min、机具前进速度为0.6 m/s、秸秆长度为6 cm时,0~50、>50~100和>100~150 mm土层土壤中秸秆含量分别为15.34、11.61和7.9 kg/m3,秸秆质量占比分别为43.97%、33.28%和22.75%,秸秆质量分布变异系数为26.43%,与正交试验的最好结果相比,上层土壤中秸秆质量占比降低2.36个百分点,下层秸秆质量占比提高7.18个百分点,秸秆质量分布变异系数降低12.6个百分点,秸秆还田均匀性和种床质量均有提高。研究结果为提高油菜秸秆还田均匀性提供了方法与思路。

关键词：农业机械秸秆油菜埋覆还田装置优化