铁路电力试验车软件的设计与实现

介绍了铁路电力试验车软件的设计思想、框架结构及其总体控制策略 ,并就其中的测试程序、数据库管理系统、串口通讯程序、复杂式样报表生成和系统安装程序的设计策略作了叙述。     

Scheduling railway traffic at a construction site

We consider the problem of rescheduling trains in the case where one track of a railway section consisting of two tracks in opposing directions is closed due to construction activities. After presenting an appropriate model for this situation we derive a polynomial algorithm for the subproblem of finding an optimal schedule with minimal latenesss if the subsequences of trains for both directions outside the construction site are fixed. Based on this algorithm we propose a local search procedure for the general problem of finding good schedules and report test results for some real world instances. Received: December 8, 1999 / Accepted: May 2, 2001     

气动汽车发动机工作循环的理论分析

城市污染和石油资源的匮乏使得人们在不断地寻求不用直接燃油或燃气的新型动力机械。气动汽车发动机就是其中的一类,它是以压缩空气、液氮或液态空气作为工作介质,可以实现零排放,是真正意义的环保动力。从理论分析的角度,对压缩空气发动机和液氮发动机的工作循环进行了分析讨论,采用不同概念计算了两者的可用能,并着重分析了膨胀初始压力和温度对输出功的影响,还探讨了液氮发动机工作循环的优化途径。     

中国学术期刊网燕化镜像站点建设

通过中国学术期刊网燕化镜像站点的建设，介绍了燕山石化镜像站点的配置及主要管理功能和对全文数据库的检索，浏览功能，同时介绍了新形势下，信息化建设的新观念，新思路，以及强化信息意识，加强信息服务产业化发展的重要性和迫切性。     

钻机柴油机的动向和190系列柴油机的发展

本文概括介绍了国内外钻机柴油机发展的水平及动向,比较了国内钻机柴油机与国外钻机柴油机在发展上的差距。重点介绍了作为国产钻机主要动力的190系列柴油机的发展状况及最新技术在该机型上的应用。     

国内电子商务门户网站的现状研究

从电子商务在我国迅速发展的角度出发，系统地介绍了我国电子商务网站的典范：阿里巴巴、淘宝。从电子商务的模式出发分析了其经营理念，成功因素及其不足，对中国的电子商务目前状况作了分析，并提出展望。     

船用低速五缸柴油机推进轴系扭振性能的改进与计算

国内的低速柴油机制造厂 ,船舶设计部门、造船厂和船东好象已经有一种共识 :艉机舱推进轴系使用低速五缸柴油机作主机时 ,都要用扭振减振器。但是 ,只要在设计时合理选用柴油机转速 ,并采用高强度低合金钢来制造中间轴 ,这类轴系大部分是不需要扭振减振器的。     

添加剂组成对通用内燃机油性能的影响

通过相关模拟试验，分析研究了添加剂组成对通用内燃机油的抗磨性能，抗氧化性能以及清净分散性能的影响。     

The GENIUS-test-facility—first results on background from Rn daughters

GENIUS-TF (Nucl. Instr. and Meth. A 511 (2003) 341; Nucl. Instr. and Meth. A 481 (2002) 149.) is a test-facility for the GENIUS project (GENIUS-Proposal, 20 November 1997; Z. Phys. A 359 (1997) 351; CERN Courier, November 1997, 16; J. Phys. G 24 (1998) 483; Z. Phys. A 359 (1997) 361; in: H.V. Klapdor-Kleingrothaus, H. Pas. (Eds.), First International Conference on Particle Physics Beyond the Standard Model, Castle Ringberg, Germany, 8–14 June 1997, IOP Bristol (1998) 485 and in Int. J. Mod. Phys. A 13 (1998) 3953; in: H.V. Klapdor-Kleingrothaus, I.V. Krivosheina (Eds.), Proceedings of the Second International Conference on Particle Physics Beyond the Standard Model BEYOND’ 99, Castle Ringberg, Germany 6–12 June 1999, IOP Bristol (2000) 915), a proposed large scale underground observatory for rare events which is based on operation of naked germanium detectors in liquid nitrogen for an extreme background reduction. Operation of naked Ge crystals in liquid nitrogen has been applied routinely already for more than 20 years by the CANBERRA Company for technical functions tests (CANBERRA Company, private communication, 5 March 2004.), but it never had found entrance into basic research. Only in 1997 first tests of application of this method for nuclear spectroscopy have been performed, successfully, in Heidelberg (Klapdor-Kleingrothaus et al., 1997, 1998; J. Hellmig and H.V. Klapdor-Kleingrothaus, 1997).

On May 5, 2003 the first four naked high-purity germanium detectors (total mass 10.52 kg) were installed in liquid nitrogen in the GENIUS Test Facility at the Gran Sasso underground laboratory. Since then the experiment has been running continuously, testing for the first time the novel technique in an underground laboratory and for a long-lasting period.

In this work, we present the first analysis of the GENIUS-TF background after the completion of the external shielding, which took place in December 2003. We focus especially on the background coming from ²²²Rn daughters. This is found to be at present by a factor of 200 higher than expected from simulation. It is still compatible with the scientific goal of GENIUS-TF, namely to search for cold dark matter by the modulation signal, but on the present level would cause serious problems for a full GENIUS—like experiment using liquid nitrogen.     

Optimization by random search with jumps

We give a random optimization (RO) algorithm to optimize a real‐valued function of n real variables. During the optimization process, interpolation points are examined to follow valleys, and jumps to new starting points are executed to avoid numerous iterations in local minima. Convergence with probability one to the global minimum of a function is proved. The proposed RO method is a simple, derivative‐free and computationally moderate algorithm, with excellent performance compared to other RO methods. Seven functions, which are commonly used to test the performance of optimization methods, are used to evaluate the performance of the RO algorithm given here. Copyright © 2004 John Wiley & Sons, Ltd.