基于扫描数据零件轮廓特征自动识别的方法

主要研究基于扫描数据自动识别零件轮廓特征的方法与技术．首先给出了零件轮廓特征自动识别的工作流程，然后提出了零件轮廓特征自动识别的原理与算法，最后通过具体实例验证了本方法的优点及可行性。     

The Optimal Solution of the Model with Physical and Human Capital Adjustment Costs

We prove that the model with physical and human capital adjustment costs has optimal solution when the production function is increasing return and the structure of vetor fields of the model changes substantially when the prodution function from decreasing return turns to increasing return. And it is shown that the economy is improved when the coefficients of adjustment costs become small.     

重庆汽车产业配置与地域类型

运用产业经济学和区域经济地理学的原理、结合地理学的分析方法,着重探讨了重庆汽车产业配置地域运动过程和促使其演变的原因.划分重庆汽车产业分布为四种地域类型:“嘉陵江东岸与长江北岸型”;“长江南岸型”;“嘉陵江西岸型”;“飞地型”.对重庆汽车产业配置特点,存在问题作了深入地剖析与揭示,并对今后调整作了初步的设想.     

用正交试验法确定最佳调剖施工参数

针对文明寨油田地质特征和开采现状，按照油藏数值模拟原理，以调剖井对应油井的增油降水创经济效益大小为考核指标，运用正交试验的均衡分散性和整齐可比性及Ｌ９（３４），正交表进行调剖最佳施工参数试验．经现场试验、分析、讨论发现：影响调剖效果的主要因素是措施半径，其次为施工排量和注入方式，且最佳施工参数是措施半径在３．５ｍ左右，施工排量在１９ｍ３／ｈ左右，按连续注入方式调剖。经文明察油田、卫城油田、马寨油田５０井次现场试验证明，较好地改善了注水井吸水剖面，对应油井取得了明显的增油降水效果，收到了较好的经济和社会效益．     

Simulation of the Action of a Permeable Barrier on an Ideal Incompressible Channel Flow

Plane ideal incompressible flow in a rectangular channel partitioned by a thin permeable barrier (lattice) is considered. In flowing through the lattice the stream suddenly (jumpwise) changes direction and loses energy. The flow is assumed to be vortical; the vorticity is discontinuous on the lattice. A mathematical formulation of the problem for the stream function is proposed in the form of a nonlinear elliptic equation with coefficients discontinuous on the lattice line. A numerical solution is constructed using the finite-element iteration method. The results of the numerical simulation show how the flow velocity profile in the channel can be controlled by means of permeable barriers.     

瓣形均匀带电面在其直径处的电势分布

从点电荷的电势计算公式出发推导出了瓣形均匀带电面在其直径处的电势分布.进一步讨论了均匀带电半球面在其底面以及均匀带电球面内部和外部的电势分布.     

堆焊切粒刀技术初探

介绍堆焊切粒刀的优点 ,着重探讨了采用靠模法加工堆焊切粒刀螺旋槽的原理 ,论证了所介绍加工工艺的合理性 .事实证明 ,采用介绍的加工工艺生产的堆焊切粒刀 ,可满足设计的技术性能 ,质量可达到国外同类产品的水平     

Calibrating software reliability models when the test environment does not match the user environment

Software failures have become the major factor that brings the system down or causes a degradation in the quality of service. For many applications, estimating the software failure rate from a user's perspective helps the development team evaluate the reliability of the software and determine the release time properly. Traditionally, software reliability growth models are applied to system test data with the hope of estimating the software failure rate in the field. Given the aggressive nature by which the software is exercised during system test, as well as unavoidable differences between the test environment and the field environment, the resulting estimate of the failure rate will not typically reflect the user‐perceived failure rate in the field. The goal of this work is to quantify the mismatch between the system test environment and the field environment. A calibration factor is proposed to map the failure rate estimated from the system test data to the failure rate that will be observed in the field. Non‐homogeneous Poisson process models are utilized to estimate the software failure rate in both the system test phase and the field. For projects that have only system test data, use of the calibration factor provides an estimate of the field failure rate that would otherwise be unavailable. For projects that have both system test data and previous field data, the calibration factor can be explicitly evaluated and used to estimate the field failure rate of future releases as their system test data becomes available. Copyright © 2002 John Wiley & Sons, Ltd.     

On the counting function of the lattice profile of periodic sequences

The lattice profile analyzes the intrinsic structure of pseudorandom number sequences with applications in Monte Carlo methods and cryptology. In this paper, using the discrete Fourier transform for periodic sequences and the relation between the lattice profile and the linear complexity, we give general formulas for the expected value, variance, and counting function of the lattice profile of periodic sequences with fixed period. Moreover, we determine in a more explicit form the expected value, variance, and counting function of the lattice profile of periodic sequences for special values of the period.