漳河水库入库径流序列变化趋势分析

依据漳河水库1963-2008年入库径流资料,采用R/S分析方法和M ann-Kendall参数秩次相关检验法对其未来入库径流变化趋势进行了分析。结果表明:①水库流域未来径流量将呈缓慢下降的趋势,且未来1月和7月的径流量变化趋势的随机性成份可能很大,应采取必要对策和措施,以应对未来可能出现的干旱或暴雨洪涝等自然灾害。②1995年为突变点,前后两个系列的统计特征值均具有明显的差异,已经不符合"一致性"的要求。③对于20世纪70~80年代的持续枯水期,应理解为这只是其径流丰枯周期变化中的一个枯水期。④流域人类活动日趋频繁,使得流域下垫面条件发生了较大的变化,对入库径流量有较大的影响。     

浅谈计算机硬盘数据丢失原因及恢复

本文主要对计算机硬盘数据丢失的原因、恢复软件的应用方法进行分析。     

项目教学法在开放教育《VB程序设计》辅导中的应用

开放教育教学辅导中“项目教学法”,就是精心设计辅导项目、传授规范知识、优化教学过程和注重操作技能的培养     

运输车辆安全体系评价的研究

该文通过对车辆安全因数的分析、得出子危险集。在分析评价方法特征技术上应用了选用模糊推理模型(FIS)的评价方法对车辆的危险度进行评价与仿真,其结果是可信的。实现了对车辆安全进行量态和动态的评价体系。     

时间序列季节调整方法在中国的发展:PBC版X-12-ARIMA

中国人民银行(PBc)版X-12-ARIMA软件是基于中国特点而定制的时间序列季节调整软件.通过总结时间序列季节调整方法的特点以及相应软件在国外的发展,针对我国应用的特点,尤其是春节因素的考虑,在解剖X-12-ARIMA方法原理的基础上,在春节因素计算方法、软件应用界面以及用户使用帮助等3个主要方面加以改进,具有数据导入、调整设置文件、运行方式以及结果输出4方面的特色.     

新形势下对设计教育方法的思考

在信息化社会里,设计专业与社会需求之间有着非常紧密的联系,为了使学生在大量信息面前,对所学习的专业知识与技能,展开独立的思考,多向思维、多种角度去认识同一事物,并能根据自己的需要进行分类和整理,培养学生捕捉信息的敏锐感受和理解的能力,要求教师积极主动调整知识结构、增加新的教育方法来改善我们的设计教育,使每一个学生的潜能都能得到充分发展,并获得更直接、更实际的专业知识。     

Recent development and applications of an optical method for measurements of thermophysical properties

The experimental determination of thermophysical properties has been greatly improved by the introduction of laser technology. The laser beam is used for sensing and also for heating (or exciting) the specimen. The advantage of using a laser beam is most strongly felt in the measurement of the thermal conductivity or the thermal diffusivity, which are some of the most difficult properties to measure. Interesting features of new techniques for investigating various aspects of thermal conductivity in fluids and solids are reviewed. An optical method, the so-called forced Rayleigh scattering method, or the laser-induced optical-grating method, has been developed and used extensively by the present author's group. The method is a high-speed remote-sensing method which can also quantitatively detect anisotropy, namely, direction dependence of heat conduction in the material. It was used for determination of the thermal diffusivity and its anisotropic behavior for high-temperature materials such as molten salts, liquid crystals, extended polymer samples, and flowing polymer melts under shear. Interesting applications of the method were demonstrated also for thermal diffusivity mapping and microscale measurement.Invited paper presented at the Twelfth symposium on Thermophysical Properties, June 19–24, 1994, Boulder, Colorado, U.S.A.     

The method of fundamental solutions for problems in static thermo-elasticity with incomplete boundary data

An inverse problem in static thermo-elasticity is investigated. The aim is to reconstruct the unspecified boundary data, as well as the temperature and displacement inside a body from over-specified boundary data measured on an accessible portion of its boundary. The problem is linear but ill-posed. The uniqueness of the solution is established but the continuous dependence on the input data is violated. In order to reconstruct a stable and accurate solution, the method of fundamental solutions is combined with Tikhonov regularization where the regularization parameter is selected based on the L-curve criterion. Numerical results are presented in both two and three dimensions showing the feasibility and ease of implementation of the proposed technique.     

A modified teaching–learning-based optimisation algorithm for bi-objective re-entrant hybrid flowshop scheduling

In this paper, a modified teaching–learning-based optimisation (mTLBO) algorithm is proposed to solve the re-entrant hybrid flowshop scheduling problem (RHFSP) with the makespan and the total tardiness criteria. Based on the simple job-based representation, a novel decoding method named equivalent due date-based permutation schedule is proposed to transfer an individual to a feasible schedule. At each generation, a number of superior individuals are selected as the teachers by the Pareto-based ranking phase. To enhance the exploitation ability in the promising area, the insertion-based local search is embedded in the search framework as the training phase for the TLBO. Due to the characteristics of the permutation-based discrete optimisation, the linear order crossover operator and the swap operator are adopted to imitate the interactions among the individuals in both the teaching phase and the learning phase. To store the non-dominated solutions explored during the search process, an external archive is used and updated when necessary. The influence of the parameter setting on the mTLBO in solving the RHFSP is investigated, and numerical tests with some benchmarking instances are carried out. The comparative results show that the proposed mTLBO outperforms the existing algorithms significantly.     

Global optimum of microstructure parameters in the CMWP line-profile-analysis method by combining Marquardt-Levenberg and Monte-Carlo procedures

Line profile analysis of X-ray and neutron diffraction patterns is a powerful tool for determining the microstructure of crystalline materials. The Convolutional-Multiple-Whole-Profile (CMWP) procedure is based on physical profile functions for dislocations, domain size, stacking faults and twin boundaries. Order dependence, strain anisotropy, hkl dependent broadening of planar defects and peak shape are used to separate the effect of different lattice defect types. The Marquardt-Levenberg (ML) numerical optimization procedure has been used successfully to determine crystal defect types and densities. However, in more complex cases like hexagonal materials or multiple phases the ML procedure alone reveals uncertainties. In a new approach the ML and a Monte-Carlo statistical method are combined in an alternative manner. The new CMWP procedure eliminates uncertainties and provides globally optimized parameters of the microstructure.