一种基于XML的非结构化数据转换方法

XML作为半结构化的语言,因其能预先定义标记等优势被普遍应用于非结构化到结构化信息的转换中。利用POI技术把网络上繁杂的非结构化数据转化为XML半结构化数据,把半结构化数据转化为结构化数据,使用户能够简便地查询所需信息。通过实验对SAX,DOM的解析效率进行了对比,实验表明解析相同大小的XML文件,SAX比DOM效率更高,而且此种差距会随着XML文件的增大而逐渐增大。     

小型高分辨率中阶梯光栅光谱仪光学设计

为了克服传统光栅光谱仪小体积与高分辨率无法共存的缺点,提出一种以中阶梯光栅为核心色散元件、反射棱镜为辅助色散元件的光谱仪光学设计方法.具体分析了中阶梯光栅的基本原理,从光路设计和元件参数设计两方面进行仪器光学设计,最后设计了一个焦距为150 mm、光谱范围为200 nm～600 nm、理论光谱分辨能力为0.1 nm的中阶梯光栅光谱仪,仿真和实验表明,设计的光谱仪在Hg灯253.652 nm处光谱分辨能力为0.023 9 nm,在Hg灯546.074 nm处光谱分辨能力为0.061 nm,满足设计指标要求.     

高精度智能质子磁力仪的最新发展

本文从质子磁力仪核心技术的角度对高精度智能质子磁力仪的最新发展进行了科学的论述,总结了我国及当今该仪器领域的最新成果,为我国广大地磁勘探工作者选购高质量的质子磁力仪从事物探工作提供科学指南。     

Tool path smoothing of a redundant machine: Application to Automated Fiber Placement

Automated Tape Laying and Fiber Placement of composite materials are the two principal automated processes used for fabrication of large composite structures in aeronautical industry. The aluminum parts produced by High Speed Machining tend to be replaced by carbon fiber composite parts realized with these processes. However, structural parts present reinforcement zones which disturb the tool path follow-up and generate an increase of the manufacturing time. Thus, this paper deals with the optimization of tool paths of a 7-axis machine tool of Fiber Placement with the objective of reducing the manufacturing time while ensuring the requested quality of the final part. In this paper, two complementary methods are detailed. The first method takes advantage of the degree of redundancy of the machine tool to decrease the kinematic loads of the control joints. The second method aims to smooth the orientation of the machine head along the tool path while ensuring quality constraints. These two methods are then applied on a test tool path and bring to a significant decrease of the manufacturing time (32.9%).     

Modeling the impact of spectral sensor configurations on the FLD retrieval accuracy of sun-induced chlorophyll fluorescence

Chlorophyll fluorescence is related to photosynthesis and can serve as a remote sensing proxy for estimating photosynthetic energy conversion and carbon uptake. Recent advances in sensor technology allow remote measurements of the sun-induced chlorophyll fluorescence signal (Fs) at leaf and canopy scale. The commonly used Fraunhofer Line Depth (FLD) principle exploits spectrally narrow atmospheric oxygen absorption bands and relates Fs to the difference of the absorption feature depth of a fluorescensing and a non-fluorescensing surface. However, due to the nature of these narrow bands, Fs retrieval results depend not only on vegetation species type or environmental conditions, but also on instrument technology and processing algorithms. Thus, an evaluation of all influencing factors and their separate quantification is required to further improve Fs retrieval and to allow a reproducible interpretation of Fs signals.Here we present a modeling study that isolates and quantifies the impacts of sensor characteristics, such as spectral sampling interval (SSI), spectral resolution (SR), signal to noise ratio (SNR), and spectral shift (SS) on the accuracy of Fs measurements in the oxygen A band centered at 760 nm (O₂-A). Modeled high resolution radiance spectra associated with known Fs were spectrally resampled, taking into consideration the various sensor properties. Fs was retrieved using the three most common FLD retrieval methods, namely the original FLD method (sFLD), the modified FLD (3FLD) and the improved FLD (iFLD). The analysis investigates parameter ranges, which are representative for field and airborne instruments currently used in Fs research (e.g., ASD FieldSpec, OceanOptics HR, AirFLEX, AISA, APEX, CASI, and MERIS).Our results show that the most important parameter affecting the retrieval accuracy is SNR, SR accounts for ≤ 40% of the error, the SSI for ≤ 12%, and SS for ≤ 7% of the error. A trade-off study revealed that high SR can partly compensate for low SNR. There is a strong interrelation between all parameters and the impact of specific parameters can compensate or amplify the influence of others. Hence, the combination of all parameters must be considered by the evaluation of sensors and their potential for Fs retrieval. In general, the standard FLD method strongly overestimates Fs, while 3FLD and iFLD provide a more accurate estimation of Fs. We conclude that technical sensor specifications and the retrieval methods cause a significant variability in retrieved Fs signals. Results are intended to be one relevant component of the total uncertainty budget of Fs retrieval and have to be considered in the interpretation of retrieved Fs signals.     

网络安全策略求精一致性检测和冲突消解机制的研究

通过对基于策略的网络安全管理的研究,分析了现有网络安全策略冲突检测和消解方法存在的不足.基于策略求精的思想和安全策略冲突分类技术,建立基于策略的网络管理安全级模型,并用扩展的XACML语言加以描述.根据策略行为间的关系,采用知识推理技术,动态分层地对相应安全级策略进行一致性自动检测和实时冲突消解,使其具有良好的可重用性...     

基于互信息的颅脑MR影像序列的三维配准

医学图像配准具有重要的临床应用价值,并一直是医学图像处理领域的热点研究问题。基于互信息的配准方法由于自动化程度高和配准精度高的优点而被广泛应用于三维医学图像配准;但是,也存在着数据量大、计算速度慢的问题。采用归一化互信息测度,并将一种新的正交优化技术应用于颅脑MR影像序列的三维配准,旨在缩短处理时间。将该方法与使用传统优化算法的配准方法作了比较,实验结果表明,提出的方法能够显著提高配准速度,且不降低配准精度。     

基于专家系统的并行工程冲突解决的研究

如何解决设计领域中出现的冲突问题一直是并行工程研究的一个重要课题。该文分析了设计领域冲突的特点,提出了面向对象的冲突知识表达形式,以及规则推理机制,实现了基于专家系统的冲突解决方法。该系统得到了实践的检验,有力地支持了并行工程的实施。     

Current manufacturing technologies for TFT‐LCDs

Abstract— TFT‐LCD panels for notebook‐PC applications requires a thin and light form factor, low power consumption, and good display quality, whereas the desktop monitor has different requirements such as large panel size, wide viewing angle, high resolution, brightness, etc. However, for the fifth‐generation of mass production, current panel technologies have to improve in order to cope with these requirements. In this article, various approaches to the manufacturing technologies of next‐generation TFT‐LCDs are discussed.     

An object-oriented organizational model to support dynamic role-based access control in electronic commerce

Role-based access control (RBAC) provides flexibility to security management over the traditional approach of using user and group identifiers. In RBAC, access privileges are given to roles rather than to individual users. Users acquire the corresponding permissions when playing different roles. Roles can be defined simply as a label, but such an approach lacks the support to allow users to automatically change roles under different contexts; using static method also adds administrative overheads in role assignment. In electronic commerce (E-Commerce) and other cooperative computing environments, access to shared resources has to be controlled in the context of the entire business process; it is therefore necessary to model dynamic roles as a function of resource attributes and contextual information.In this paper, an object-oriented organizational model, Organization Modeling and Management (OMM), is presented as an underlying model to support dynamic role definition and role resolution in E-Commerce solution. The paper describes the OMM reference model and shows how it can be applied flexibly to capture the different classes of resources within a corporation, and to maintain the complex and dynamic roles and relationships between the resource objects. Administrative tools use the role model in OMM to define security policies for role definition and role assignment. At runtime, the E-Commerce application and the underlying resource manager queries the OMM system to resolve roles in order to authorize any access attempts. Contrary to traditional approaches, OMM separates the organization model from the applications; thus, it allows independent and flexible role modeling to support realistically the dynamic authorization requirements in a rapidly changing business world.