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Android智能手机中删除短信的提取 被引量:1
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作者 龙源 邢桂东 +2 位作者 郭丽莉 楚川红 仲利静 《刑事技术》 2015年第4期338-339,共2页
本文介绍了对Android手机物理内存镜像进行关键字搜索获取删除短信数据的案件检验实例。本案中嫌疑人已对涉案手机进行了数据删除操作,现有手机取证工具只能获取部分删除短信数据。但通过获取该手机物理存储镜像,并结合案情选定关键词... 本文介绍了对Android手机物理内存镜像进行关键字搜索获取删除短信数据的案件检验实例。本案中嫌疑人已对涉案手机进行了数据删除操作,现有手机取证工具只能获取部分删除短信数据。但通过获取该手机物理存储镜像,并结合案情选定关键词对镜像进行关键字搜索,最终提取到了与案件相关的删除短信数据,为Android手机检验中删除短信检验提供了一种新的方法。 展开更多
关键词 手机取证 Android智能手机 删除短信 空余空间
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电动自行车CCC申请边界车型解析
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作者 陆锦莹 高纯 《轻工标准与质量》 2021年第6期52-54,共3页
目前电动自行车产品结构多样,有些电动自行车车型按照目前的决议要求难以界定CCC产品认证的符合性,在企业申请认证和认证机构判定符合性方面存在争议,现通过分析难以界定的具体条款的内容及该类车型设计的意图,对于目前执行过程中存在... 目前电动自行车产品结构多样,有些电动自行车车型按照目前的决议要求难以界定CCC产品认证的符合性,在企业申请认证和认证机构判定符合性方面存在争议,现通过分析难以界定的具体条款的内容及该类车型设计的意图,对于目前执行过程中存在的问题及实际车型存在的合理性提出了建议,确定了边界产品的合理性,为企业及认证机构在认证过程中的判断提供参考建议。 展开更多
关键词 边界车型 空余空间 鞍座防篡改
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Some Inequalities for Submanifolds in Cosymplectic Space Forms 被引量:1
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作者 LI Xing-xiao HUANG Guang-yue 《Chinese Quarterly Journal of Mathematics》 CSCD 北大核心 2005年第4期372-379,共8页
For submanifolds in a cosymplectic space form tangent to the structure vector field ξ, two important inequalities with Ricci curvature, scalar curvature and the squared mean curvature are obtained. These results are ... For submanifolds in a cosymplectic space form tangent to the structure vector field ξ, two important inequalities with Ricci curvature, scalar curvature and the squared mean curvature are obtained. These results are also applied to get corresponding consequences for anti-invariant submanifolds. 展开更多
关键词 cosymplectic space forms anti-invariant submanifolds
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Quotient space model based on algebraic structure 被引量:3
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作者 陈林书 WangJiayang +1 位作者 LiLi YangZhenghua 《High Technology Letters》 EI CAS 2016年第2期160-169,共10页
In the quotient space theory of granular computing,the universe structure is assumed to be a topology,therefore,its application is still limited.In this study,based on the quotient space model,the universe structure i... In the quotient space theory of granular computing,the universe structure is assumed to be a topology,therefore,its application is still limited.In this study,based on the quotient space model,the universe structure is assumed as an algebra instead of a topology.As to obtain the algebraic quotient operator,the granulation must be uniquely determined by a congruence relation,and all the congruence relations form a complete semi-order lattice,which is the theoretical basis of granularities ' completeness.When the given equivalence relation is not a congruence relation,it defines the concepts of upper quotient and lower quotient,and discusses some of their properties which demonstrate that falsity preserving principle and truth preserving principle are still valid.Finally,it presents the algorithms and example of upper quotient and lower quotient.The work extends the quotient space theory from structure,and provides theoretical basis for the combination of the quotient space theory and the algebra theory. 展开更多
关键词 granular computing quotient space congruence closure quotient operation up-per lower quotient
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MF~2ResU-Net:a multi-feature fusion deep learning architecture for retinal blood vessel segmentation
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作者 CUI Zhenchao SONG Shujie QI Jing 《Digital Chinese Medicine》 2022年第4期406-418,共13页
Objective For computer-aided Chinese medical diagnosis and aiming at the problem of insufficient segmentation,a novel multi-level method based on the multi-scale fusion residual neural network(MF2ResU-Net)model is pro... Objective For computer-aided Chinese medical diagnosis and aiming at the problem of insufficient segmentation,a novel multi-level method based on the multi-scale fusion residual neural network(MF2ResU-Net)model is proposed.Methods To obtain refined features of retinal blood vessels,three cascade connected UNet networks are employed.To deal with the problem of difference between the parts of encoder and decoder,in MF2ResU-Net,shortcut connections are used to combine the encoder and decoder layers in the blocks.To refine the feature of segmentation,atrous spatial pyramid pooling(ASPP)is embedded to achieve multi-scale features for the final segmentation networks.Results The MF2ResU-Net was superior to the existing methods on the criteria of sensitivity(Sen),specificity(Spe),accuracy(ACC),and area under curve(AUC),the values of which are 0.8013 and 0.8102,0.9842 and 0.9809,0.9700 and 0.9776,and 0.9797 and 0.9837,respectively for DRIVE and CHASE DB1.The results of experiments demonstrated the effectiveness and robustness of the model in the segmentation of complex curvature and small blood vessels.Conclusion Based on residual connections and multi-feature fusion,the proposed method can obtain accurate segmentation of retinal blood vessels by refining the segmentation features,which can provide another diagnosis method for computer-aided Chinese medical diagnosis. 展开更多
关键词 Medical image processing Atrous space pyramid pooling(ASPP) Residual neural network Multi-level model Retinal vessels segmentation
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