One aspect of cybersecurity,incorporates the study of Portable Executables(PE)files maleficence.Artificial Intelligence(AI)can be employed in such studies,since AI has the ability to discriminate benign from malicious...One aspect of cybersecurity,incorporates the study of Portable Executables(PE)files maleficence.Artificial Intelligence(AI)can be employed in such studies,since AI has the ability to discriminate benign from malicious files.In this study,an exclusive set of 29 features was collected from trusted implementations,this set was used as a baseline to analyze the presented work in this research.A Decision Tree(DT)and Neural Network Multi-Layer Perceptron(NN-MLPC)algorithms were utilized during this work.Both algorithms were chosen after testing a few diverse procedures.This work implements a method of subgrouping features to answer questions such as,which feature has a positive impact on accuracy when added?Is it possible to determine a reliable feature set to distinguish a malicious PE file from a benign one?when combining features,would it have any effect on malware detection accuracy in a PE file?Results obtained using the proposed method were improved and carried few observations.Generally,the obtained results had practical and numerical parts,for the practical part,the number of features and which features included are the main factors impacting the calculated accuracy,also,the combination of features is as crucial in these calculations.Numerical results included,finding accuracies with enhanced values,for example,NN_MLPC attained 0.979 and 0.98;for DT an accuracy of 0.9825 and 0.986 was attained.展开更多
医学图像和相关信息通常遵循DICOM(Digital Imageing and Communication Medicine)国际标准。DICOM文件不仅包含了图像本身的信息,同时还包含了大量有用的医疗相关信息。如何通过编程快速读取和显示DICOM格式图像和相关信息,对于临床诊...医学图像和相关信息通常遵循DICOM(Digital Imageing and Communication Medicine)国际标准。DICOM文件不仅包含了图像本身的信息,同时还包含了大量有用的医疗相关信息。如何通过编程快速读取和显示DICOM格式图像和相关信息,对于临床诊断和进一步的图像处理和可视化研究具有重要的意义。论文首先介绍了DICOM文件的格式,然后列出了当前主流医学图像处理的软件和平台(Matlab、Python、VTK、ITK)提供的DICOM文件的读取和显示方法。最后对比各个平台的优缺点,使医学图像处理研究者可以高效地利用这些平台进行项目的开发。展开更多
利用表格分析的方式,对比激光雷达系统(LIDAR)标准文件格式LAS version 2.0与旧版本verison1.1之间的异同,分析2.0版本的新特性,便于对LAS格式的理解和应用。新的定义标准更加适应LIDAR硬件间的通用性,给予用户更多的扩展空间,为LIDAR...利用表格分析的方式,对比激光雷达系统(LIDAR)标准文件格式LAS version 2.0与旧版本verison1.1之间的异同,分析2.0版本的新特性,便于对LAS格式的理解和应用。新的定义标准更加适应LIDAR硬件间的通用性,给予用户更多的扩展空间,为LIDAR系统的应用提供高质量的文件交换基础。展开更多
文摘One aspect of cybersecurity,incorporates the study of Portable Executables(PE)files maleficence.Artificial Intelligence(AI)can be employed in such studies,since AI has the ability to discriminate benign from malicious files.In this study,an exclusive set of 29 features was collected from trusted implementations,this set was used as a baseline to analyze the presented work in this research.A Decision Tree(DT)and Neural Network Multi-Layer Perceptron(NN-MLPC)algorithms were utilized during this work.Both algorithms were chosen after testing a few diverse procedures.This work implements a method of subgrouping features to answer questions such as,which feature has a positive impact on accuracy when added?Is it possible to determine a reliable feature set to distinguish a malicious PE file from a benign one?when combining features,would it have any effect on malware detection accuracy in a PE file?Results obtained using the proposed method were improved and carried few observations.Generally,the obtained results had practical and numerical parts,for the practical part,the number of features and which features included are the main factors impacting the calculated accuracy,also,the combination of features is as crucial in these calculations.Numerical results included,finding accuracies with enhanced values,for example,NN_MLPC attained 0.979 and 0.98;for DT an accuracy of 0.9825 and 0.986 was attained.
文摘医学图像和相关信息通常遵循DICOM(Digital Imageing and Communication Medicine)国际标准。DICOM文件不仅包含了图像本身的信息,同时还包含了大量有用的医疗相关信息。如何通过编程快速读取和显示DICOM格式图像和相关信息,对于临床诊断和进一步的图像处理和可视化研究具有重要的意义。论文首先介绍了DICOM文件的格式,然后列出了当前主流医学图像处理的软件和平台(Matlab、Python、VTK、ITK)提供的DICOM文件的读取和显示方法。最后对比各个平台的优缺点,使医学图像处理研究者可以高效地利用这些平台进行项目的开发。
文摘在详细介绍美国JPL(Jet Propulsion Laboratory,喷气推进实验室)发布的DE(Development Ephemerides,行星/月球展开历表)系列历表的基本情况、头文件和数据文件的结构、历表计算原理等内容的基础上,以DE405、DE421、DE431为例,分别计算了1900—2200年间月球、太阳、行星等天体在地心天球参考系中的坐标及速度,并由此得到3个历表间的差异,结果表明DE431与DE421之间的差异,整体而言要小于二者同DE405之间的差异。最后以引潮力的计算为例,表明历表更新对于引潮力的影响基本可忽略不计,验证了IERS(International Earth Rotation and reference systems Service,国际地球自转与参考系服务)规范中关于历表更新对相关地球科学影响十分有限的结论。
文摘利用表格分析的方式,对比激光雷达系统(LIDAR)标准文件格式LAS version 2.0与旧版本verison1.1之间的异同,分析2.0版本的新特性,便于对LAS格式的理解和应用。新的定义标准更加适应LIDAR硬件间的通用性,给予用户更多的扩展空间,为LIDAR系统的应用提供高质量的文件交换基础。
