基于资源调度的静态路由算法（SCIRS）设计

文章首先介绍资源调度的静态无线传感器路由算法基于的两个假设。在两个假设条件的基础上,介绍了所设计的基于资源调度的静态路由算法（SCIRS：Static Clustering with Intra—cluster Resources Scheduling）的运行机制,包括集中式网络拓扑计算、网络拓扑形成和簇内调度传输。对基于资源调度的静态路由算法（SCIRS）作一个定性的分析之后,最后给出这个路由的一个改进算法,即低耗能静态分簇路由算法（LESCS：Low—energy Static Clustering Scheme）。     

保护应用程序的一种方法——模拟Windows PE加载器，从内存资源中加载DLL

本文主要介绍了一种将DLL文件进行加密压缩后存放在程序的资源段然后从内存中加载这个DLL,这样一种保护应用程序的方法。前言目前很多敏感和重要的DLL（Dynamic-link library）都没有提供静态版本供编译器进行静态连接（.lib文件）,即使提供了静态版本也因为兼容性问题导致无法使用,而只提供DLL版本,并且很多专业软件的授权部分的API,都是单独提供一个DLL来完成,     

基于部件设计的可靠性研究

研究基于部件设计的可靠性问题,首先提出了一个基于部件设计的模型：如何抽象地描述一个部件？如何利用已存在的部件构造新的部件？如何在给定部件实现的情况下,静态地验证部件的正确性？然后讨论在部件实现不可知的情况下,如何利用包裹（ｓｒａｐｐｅｒ）技术和虚拟部件行为模式动态地检测并保证部件运行的正确性。     

优秀的电脑性能检测工具

SYSCHK2．45SYSCItK是一个可以与Qaplus、PCBench等著名检测软件相媲美的新的系统信息检测工具（可从http：／／www．share.com下载）。SYSCHK2、45虽然只有115K的容量，却具有个富而强大的功能，检测的项目包括：ISurnma叮（摘要）：CI，U类型和速度；协处理器类型；ROMBIOS建立时间；DOS版本；基本、扩充、扩展内存总容量和剩余容量；串行与并行端口数；鼠标、键盘、软驱、硬盘和显示器的类型等（见图1）。2CPU／BIOS（中央处理器／基本输入输出系统）：CPLJ类型、工作模式和销售商，数字协处理器类型；I／0总线类型…     

基于PCI总线的Altera FPGA高速下载配置设计方案

Altera FPGA配置方式有三种：JTAG模式、主动串行（AS）配置模式以及被动串行（PS）配置模式。传统的配置模式——JTAG模式一般需要通过专用下载线（如：连接并口的ByteBlasterⅡ）从计算机下载编程数据并配置FPGA;而AS模式和PS模式可以通过Altera公司提供的专用配置芯片在上电时对FPGA进行配置,针对传统配置模式速度慢的缺点,自行设计了基于PCI总线通过主FPGA实现对从FPGA实现自动配置,从而实现了配置速度上很大的提高,且不需要额外的下栽电缆线。     

谷歌搜索服务器虚拟版GSAve

Ubuntu官方如期发布了8．10的正式版。新版本带来的诸多全新特性：基于去年发布的Just Enough Operating System（JeOS）,自带虚拟机创建器,能在五分钟内通过命令行构建一个完整的虚拟机;完整支持Apache Tomcat6．0和OpenJDK：新的网络管理器Network Manager0．7不仅支持了PPPoE,     

XML在动车段(所)异构数据源集成中的应用

动车段（所）信息化是铁路信息化的一个重要组成部分，动车段（所）每个部门的信息就是一个数据源，由于各部门建立时间不同，导致了这些数据源均为异构、分布的，从而构成了复杂庞大的数据源环境，形成了一个个“信息孤岛”。因此非常需要一种信息技术来实现动车段（所）各系统的应用集成及信息共享，并为决策提供及时可靠的服务。文中介绍了基于XML的中间件技术在动车段（所）信息集成中的应用，通过对每一个异构数据源增加一个以XML为中间格式的封装体，即在不改变数据源的前提下，用XML对数据源的相关信息进行封装，用以实现动车段（所）管理信息系统内部各子系统间，以及该系统与外部系统之间的数据交换和访问。     

《极品飞车11》最安全修改金钱大法

此方法适用于任何中、英文版本。 具体方法：进入游戏后．选择Career（生涯模式）,进入模式后再选择Code Entry（输入代码）．点选Enter Secret Code（输入秘密代码）：然后输入unlockallthings,会看到提示成功。然后再到Career Map（生涯地图）,随便选一个地图进入．进去后就选择Leave Race Day（退出竞赛日）退出。再在生涯模式下选择Cars（车辆）——Gardge（车库）。会发现多了几辆车！     

JAVA语言的程序安全性分析

本文以实例的方式讨论了Java的底层安全系统。Java的安全模型被分为三个主要的防范区域：byte-code verifier（字节码验证机）、class loader（类装入器）和security manager（安全管理器）,Java的安全模型为Java程序的执行建立了一个智能的自动防止故障的装置。     

热敏电阻式风速表

介绍一种测定气体流速的仪表，它的传感器由２个热敏电阻器组成：一个常温状态下的热敏电阻器测环境温度；另一个实际被加热的热敏电阻器测气体的流速。这台仪表采用了ＰＷＭ（脉宽调制）、线性化、温度补偿和有关的单片机数字技术。     

Multi-scale edge detection on range and intensity images

Multi-scale feature extraction has become prominent in recent years. Additionally, processing images containing sparse or irregularly distributed data has become increasingly important, in particular with respect to the use of range image data. We present a family of multi-scale gradient-based edge detection algorithms that are suitable for use on either regularly or irregularly distributed image data; these algorithms can be applied directly to the range and intensity images without any image pre-processing. We quantitatively evaluate our algorithms on synthetic intensity and range images and also provide comparative visual output, using real images. The results demonstrate that this approach can be successfully applied to both range and intensity images, providing results that for intensity images are more accurate than from traditional gradient operators and for range images are more accurate than from the scan-line approximation.     

霍尔器件在电力测量中的应用

在介绍霍尔器件基本工作原理的基础上,重点介绍了在电力测量中最有应用前景的电流传感器和功率传感器。     

Compensation of parasitic losses in an extrinsic fiber-optic temperature sensor based on intensity measurement

A method of referencing in an extrinsic optical fiber sensor system utilizing temperature dependence of the absorption edge in a semiconductor crystal (semi-insulating iron-doped indium phosphide) is demonstrated. The intensity reference is provided by controlling the temperature of an LED source and transmission measurements with different emission spectra. A transient operation regime is introduced. The entire process is controlled by a microprocessor unit. The performance of the sensor system is investigated and it is shown that the connector losses may be compensated for. Contrary to the published works performed with GaAs crystals it was not observed that the absorption coefficient of the semiconductor follows the law for idealized direct-gap semiconductor but can be described by the so-called Urbach tail. Since the proposed sensor system comprises a single LED source, simple electronics and no optical fiber couplers it is promising for realization of low-cost fiber-optic temperature sensors, e.g. for power transformer monitoring or magnetic resonance imaging applications.     

一种新的快速鲁棒性角点检测算法

对现有的角点检测算法进行了综述，着重分析了SUSAN算法和MIC算法的实现原理以及检测性能的优劣，提出了一种基于像素亮度变化的快速角点检测算法。对模拟图像和真实图像的角点进行了实验，并与目前应用比较广泛的Harris、MIC以及SUSAN角点检测子进行了比较。实验结果和数据分析表明了算法在计算效率、定位精度和鲁棒性等到方面具有良好性能。     

An adaptive field rule for non-parametric MRI intensity inhomogeneity estimation algorithm

A widely accepted magnetic resonance imaging (MRI) model states that the observed voxel intensity is a piecewise constant signal intensity function corresponding to the tissue spatial distribution, corrupted with multiplicative and additive noise. The multiplicative noise is assumed to be a smooth bias field, it is called intensity inhomogeneity (IIH) field. Our approach to IIH correction is based on the definition of an energy function that incorporates some smoothness constraints into the conventional classification error function of the IIH corrected image. The IIH field estimation algorithm is a gradient descent of this energy function relative to the IIH field. We call it adaptive field rule (AFR). We comment on the likeness of our approach to the self-organizing map (SOM) learning rule, on the basis of the neighboring function that controls the influence of the neighborhood on each voxel's IIH estimation. We discuss the convergence properties of the algorithm. Experimental results show that AFR compares well with state of the art algorithms. Moreover, the mean signal intensity corresponding to each class of tissue can be estimated from the image data applying the gradient descent of the proposed energy function relative to the intensity class means. We test several variations of this gradient descent approach, which embody diverse assumptions about available a priori information.     

基于亮度序的均值标准差描述子

在已有均值标准差曲线描述子(MSCD)的基础上,引入亮度序划分思想,提出一种基于亮度序的均值标准差描述子(IOMSD).与传统描述子构造时采用固定位置进行子区域划分不同,文中依据局部区域内各像素点的亮度大小关系划分子区域.该方法能克服图像形变带来的边界误差,且对线性光照和单调光照变化具有不变性.实验结果表明,IOMSD对旋转、视角变化及光照变化图像具有鲁棒性,尤其在形变稳定性上优于已有的MSCD算法.     

一种基于颜色和几何特征的人脸检测方法

该文提出了一种有效的人脸定位方法。通过局部自适应门限提取图像边缘,用几何规则和颜色特征筛选出候选眼睛块,使用遗传算法将这些眼睛块配对验证,适应度函数采用一个新颖的眼睛及脸颊区域的灰度投影及肤色信息定义。该方法可以实现多尺度、多角度的正面人脸检测,实验结果令人满意。     

A two-dimensional warranty servicing strategy based on reduction in product failure intensity

The cost of servicing a warranty depends, amongst other factors, on the type of repair performed under warranty. Although “all minimal repair” and “all replacement” policies are easy to implement and analyze, they are not always feasible and/or practical. Having a combination of different types of repair often leads to lower warranty servicing costs. In this article, to reduce the warranty servicing cost, we study a servicing strategy that involves performing imperfect repairs in place of some of the minimal repairs of an “all minimal repair” strategy; the effect of an imperfect repair is characterized by a drop in the conditional intensity function of the failure process. We consider both fixed and random degrees of repair. For a given type of product, we partition the warranty region so that the expected total warranty servicing cost is minimized. We provide a numerical illustration and a comparison with previously-studied repair-replacement strategies.     

Estimating biomass carbon stocks for a Mediterranean forest in central Spain using LiDAR height and intensity data

Biomass fractions (total aboveground, branches and foliage) were estimated from a small footprint discrete-return LiDAR system in an unmanaged Mediterranean forest in central Spain. Several biomass estimation models based on LiDAR height, intensity or height combined with intensity data were explored. Raw intensity data were normalized to a standard range in order to remove the range dependence of the intensity signal. In general terms, intensity-based models provided more accurate predictions of the biomass fractions. Height models selected were mainly based on a percentile of the height distribution. Intensity models selected included variables that consider the percentage of the intensity accumulated at different height percentiles, which implicitly take into account the height distribution. The general models derived considering all species together were based on height combined with intensity data. These models yielded R² values greater than 0.58 for the different biomass fractions considered and RMSE values of 28.89, 18.28 and 1.51 Mg ha⁻¹ for aboveground, branch and foliage biomass, respectively. Results greatly improved for species-specific models using the main species present in each plot, with R² values greater than 0.85, 0.70 and 0.90 for black pine, Spanish juniper and Holm oak, respectively, and with lower RMSE for the biomass fractions. Reductions in LiDAR point density had only a small effect on the results obtained, except for those models based on a variation of the Canopy Reflection Sum, which was weighted by the mean point density. Based on the species-specific equations derived, Holm oak dominated plots showed the highest average carbon contained by aboveground biomass and branch biomass 44.66 and 31.42 Mg ha^− 1 respectively, while for foliage biomass carbon, Spanish juniper showed the highest average value (3.04 Mg ha^− 1).     

微波强度关联图像辐射性能敏感性分析

微波强度关联成像技术通过发射时空两维随机辐射场,并与接收的目标回波强度数据进行关联以实现超天线孔径限制的微波成像。作为一种新型静止雷达成像技术,其不同模型参数对于重构图像辐射性能影响尚不明确。基于微波强度关联成像模型,通过改变模型参数设置,可以获得观测矩阵和重构图像的辐射特性变化趋势,以此分析不同参数设置下图像的辐射性能。分析结果表明:改进天线阵元数目、带宽等模型参数,能有效提高图像辐射性能,尤其是大场景高分辨率的成像区域;增大天线平台高度和网格长度,图像辐射性能有所降低;对于地物均匀的场景,系统设计要求相对较低。分析结果将有助于改善系统设计参数。