针对现有数据库入侵检测系统高误报率的问题,提出了一种基于密度聚类数据库入侵检测系统,其检测系统过程分为2个部分,①数据训练阶段:执行事务属性的数据预处理,然后将数据集划分为训练集和测试集,使用点排序识别聚类结构(Ordering of P...针对现有数据库入侵检测系统高误报率的问题,提出了一种基于密度聚类数据库入侵检测系统,其检测系统过程分为2个部分,①数据训练阶段:执行事务属性的数据预处理,然后将数据集划分为训练集和测试集,使用点排序识别聚类结构(Ordering of Points To Identify Clustering Structure,OPTICS)来构建用户的正常配置文件;②入侵检测阶段:每个传入行为有2种状态,位于群集内或是集群外,根据其局部异常因子(Local Outlier Factor,LOF)值来确定事务的异常程度,对于LOF<1的行为允许访问数据库,其他行为通过采用不同的监督机器学习技术进一步验证是正常值或异常值,实现入侵检测.实验结果表明,与其他现有数据库入侵检测系统相比,本文系统性能优于其他2种系统.展开更多
星载单光子激光雷达在浅水域测深方面展现出巨大的潜力,但其接收到的点云数据中存在大量噪声,给高程信息的提取带来了困难。目前,基于OPTICS(Ordering Points to Identify the Clustering Structure)的去噪算法因其精度高,在强背景噪声...星载单光子激光雷达在浅水域测深方面展现出巨大的潜力,但其接收到的点云数据中存在大量噪声,给高程信息的提取带来了困难。目前,基于OPTICS(Ordering Points to Identify the Clustering Structure)的去噪算法因其精度高,在强背景噪声下表现良好,得到了广泛的应用,但此算法在水底附近区域存在去噪效果不佳的现象。为了解决这个问题,文章提出了一种参量自适应的OPTICS单光子点云去噪算法,该算法与现有OPTICS算法固定输入参数的方式不同,是通过场景自适应获取更合适的输入参数来保证水底附近区域光子的分布参数的测量准确性,从而提升水底附近区域的去噪效果。凝聚度结果显示,新算法在水底附近区域的去噪效果较现有OPTICS算法提升了约13.67%,可为之后的水深测量等工作提供更高精度的单光子点云图像。展开更多
In this paper, we research on the research on the mass structured data storage and sorting algorithm and methodology for SQL database under the big data environment. With the data storage market development and center...In this paper, we research on the research on the mass structured data storage and sorting algorithm and methodology for SQL database under the big data environment. With the data storage market development and centering on the server, the data will store model to data- centric data storage model. Storage is considered from the start, just keep a series of data, for the management system and storage device rarely consider the intrinsic value of the stored data. The prosperity of the Internet has changed the world data storage, and with the emergence of many new applications. Theoretically, the proposed algorithm has the ability of dealing with massive data and numerically, the algorithm could enhance the processing accuracy and speed which will be meaningful.展开更多
We put forward the credit targets sequences set and ordering structure of credit targets sequences and the dominance structure in credit targets sequences set. We also give a model to evaluate customer's credit by...We put forward the credit targets sequences set and ordering structure of credit targets sequences and the dominance structure in credit targets sequences set. We also give a model to evaluate customer's credit by the deviation.展开更多
In this study, we reported the design, fabrication, and characterization of well- ordered arrays of vertically-aligned, epitaxial NiSi2/Si heterostructures and single- crystalline NiSi2 nanowires on （001）Si substrat...In this study, we reported the design, fabrication, and characterization of well- ordered arrays of vertically-aligned, epitaxial NiSi2/Si heterostructures and single- crystalline NiSi2 nanowires on （001）Si substrates. The epitaxial NiSi2 with {111} facets was found to be the first and the only silicide phase formed inside the Si nanowires after annealing at a temperature as low as 300℃. Upon annealing at 500 ℃ for 4 h, the residual parts of Si nanowires were completely consumed and the NiSi2/Si heterostructured nanowires were transformed to fully silicided NiSi2 nanowires. XRD, TEM and SAED analyses indicated that all the NiSi2 nanowires were single crystalline and their axial orientations were parallel to the [001] direction. The obtained vertically-aligned NiSi2 nanowires, owing to their well-ordered arrangement, single-crystalline structure, and low effective work function, exhibit excellent field-emission properties with a very low turn-on field of 1.1 V/m. The surface wettability of the nanowires was found to switch from hydrophobic to hydrophilic after the formation of NiSi2 phase and the measured water contact angle decreased with increasing extent of Ni silicidation. The increased hydrophilicity can be explained by the Wenzel model. The obtained results present the exciting prospect that the new approach proposed here will provide the capability to fabricate other highly-ordered, vertically-aligned fully silicided nanowire arrays and may offer potential applications in constructing vertical silicide-based nanodevices.展开更多
文摘针对现有数据库入侵检测系统高误报率的问题,提出了一种基于密度聚类数据库入侵检测系统,其检测系统过程分为2个部分,①数据训练阶段:执行事务属性的数据预处理,然后将数据集划分为训练集和测试集,使用点排序识别聚类结构(Ordering of Points To Identify Clustering Structure,OPTICS)来构建用户的正常配置文件;②入侵检测阶段:每个传入行为有2种状态,位于群集内或是集群外,根据其局部异常因子(Local Outlier Factor,LOF)值来确定事务的异常程度,对于LOF<1的行为允许访问数据库,其他行为通过采用不同的监督机器学习技术进一步验证是正常值或异常值,实现入侵检测.实验结果表明,与其他现有数据库入侵检测系统相比,本文系统性能优于其他2种系统.
文摘星载单光子激光雷达在浅水域测深方面展现出巨大的潜力,但其接收到的点云数据中存在大量噪声,给高程信息的提取带来了困难。目前,基于OPTICS(Ordering Points to Identify the Clustering Structure)的去噪算法因其精度高,在强背景噪声下表现良好,得到了广泛的应用,但此算法在水底附近区域存在去噪效果不佳的现象。为了解决这个问题,文章提出了一种参量自适应的OPTICS单光子点云去噪算法,该算法与现有OPTICS算法固定输入参数的方式不同,是通过场景自适应获取更合适的输入参数来保证水底附近区域光子的分布参数的测量准确性,从而提升水底附近区域的去噪效果。凝聚度结果显示,新算法在水底附近区域的去噪效果较现有OPTICS算法提升了约13.67%,可为之后的水深测量等工作提供更高精度的单光子点云图像。
文摘In this paper, we research on the research on the mass structured data storage and sorting algorithm and methodology for SQL database under the big data environment. With the data storage market development and centering on the server, the data will store model to data- centric data storage model. Storage is considered from the start, just keep a series of data, for the management system and storage device rarely consider the intrinsic value of the stored data. The prosperity of the Internet has changed the world data storage, and with the emergence of many new applications. Theoretically, the proposed algorithm has the ability of dealing with massive data and numerically, the algorithm could enhance the processing accuracy and speed which will be meaningful.
文摘We put forward the credit targets sequences set and ordering structure of credit targets sequences and the dominance structure in credit targets sequences set. We also give a model to evaluate customer's credit by the deviation.
文摘In this study, we reported the design, fabrication, and characterization of well- ordered arrays of vertically-aligned, epitaxial NiSi2/Si heterostructures and single- crystalline NiSi2 nanowires on （001）Si substrates. The epitaxial NiSi2 with {111} facets was found to be the first and the only silicide phase formed inside the Si nanowires after annealing at a temperature as low as 300℃. Upon annealing at 500 ℃ for 4 h, the residual parts of Si nanowires were completely consumed and the NiSi2/Si heterostructured nanowires were transformed to fully silicided NiSi2 nanowires. XRD, TEM and SAED analyses indicated that all the NiSi2 nanowires were single crystalline and their axial orientations were parallel to the [001] direction. The obtained vertically-aligned NiSi2 nanowires, owing to their well-ordered arrangement, single-crystalline structure, and low effective work function, exhibit excellent field-emission properties with a very low turn-on field of 1.1 V/m. The surface wettability of the nanowires was found to switch from hydrophobic to hydrophilic after the formation of NiSi2 phase and the measured water contact angle decreased with increasing extent of Ni silicidation. The increased hydrophilicity can be explained by the Wenzel model. The obtained results present the exciting prospect that the new approach proposed here will provide the capability to fabricate other highly-ordered, vertically-aligned fully silicided nanowire arrays and may offer potential applications in constructing vertical silicide-based nanodevices.
