基于LabVIEW的汽车PEPS测试系统设计

介绍一种汽车无钥匙进入及启动(PEPS)系统的测试系统,其以LabVIEW为核心,模拟PEPS系统中与BCM、ABS等汽车网络拓扑中各节点模块的交互信息,实现了对PEPS系统的测试。文章详细分析了测试系统的硬件架构以及软件设计,提出一种通用化的PEPS测试系统配置程序设计,并在实际车型的开发中得到了很好的应用。     

多桩型复合地基在深厚软土地区铁路地基处理中的应用

以深厚软土地区某铁路工程为例,对搅拌桩、管桩及两者结合的地基加固方案进行分析比较,介绍了多桩型复合地基加固在深厚软土地区的应用。其复合地基承载能力可达250 kPa,而且工后沉降满足设计要求。     

宝应船闸分散式输水系统设计

分散输水系统具有缩短闸室长度、减少闸室灌水时间、改善闸室内船舶停靠条件等优点。宝应船闸为中等水头船闸,采用长廊道分散输水系统,闸墙长廊道侧支孔出水,水流优于集中输水,放水开闸通航后运行情况良好。文中介绍宝应船闸分散输水系统的选择及布置,以及输水系统的设计计算,可为其他中等水头船闸输水系统设计提供参考。     

20000吨级自航半潜船冷却水系统故障诊断与排除

随着技术发展,越来越多的船舶采用电力推进装置.同常规推进相比,更多的设备比如变频器、变压器,需要采用淡水冷却,而且它们往往布置在机舱外,增加了中央冷却水系统调试的难度.介绍了采用电力推进的自航半潜船,中央冷却水系统调试中暴露出的问题,并针对其中的主要矛盾,提出了解决方案.     

基于微分进化算法的经济圈公路网双层优化模型

在界定经济圈内涵的基础上,利用微分进化算法对经济圈公路网优化问题进行了研究。在探讨经济圈公路网优化目标、优化原则和优化意义的基础上,以经济圈交通效率、运营成本、能源消耗、环境保护和出行时间等为优化目标函数,建立了经济圈公路网优化的双层模型,并采用微分进化算法求解。经济圈公路网双层优化模型是利用生成的初始路径点集,经过提炼处理来提高经济圈公路网交通效率,并得到最佳优化路网,相对于传统的优化模型更能结合经济圈交通系统与经济特性,结论更加符合经济圈实际情况。研究结果表明：优化模型不仅能够满足经济圈交通需求,而且能够满足经济圈交通系统的环境保护目标、促进经济圈交通系统可持续发展。     

多进制LDPC编码调制系统在衰落信道下的性能分析

多进制低密度奇偶校验（Low-Density Parity-Check,LDPC）码作为一种现代高效纠错码将会是RS码的一个很好替代码型。现代通信系统需要可靠且频谱有效的数据传输,针对多进制LDPC编码调制系统,文章分析和讨论了多进制LDPC编码调制系统在Ray-leigh和Rice衰落信道下的性能。引入了Rayleigh和Rice衰落信道模型,在此基础上建立了多进制LDPC编码调制系统,给出了迭代译码的初始化条件。仿真结果表明多进制LDPC码本身具有很好的交织和抗衰落特性,相比于二进制LDPC编码调制系统,多进制LDPC编码调制系统在衰落信道下的性能非常优良。     

校企合作培养船海专业应用型人才的实践与探索

结合广东海洋大学船舶与海洋工程专业校企合作的办学实践,分析高等学校依托行业、产学研结合、培养企业急需应用型人才的成功范例,认为应在互利共赢的基础上建立校企合作长效机制.     

Productivity and returns to scale of container ports

This is an empirical analysis of the performance of the five major container ports of the East Coast of the United States: Boston, New York-New Jersey, Philadelphia, Baltimore and Hampton Roads. The data through 1978 indicate wide disparities in the productivity of these facilities. They also suggest that container ports exhibit significant returns to scale throughout the range of observation, that is up to 15 Mt a Year. These findings indicate that a national policy of developing small ports is not economically attractive, and that specific investments should be made most carefully.     

Refined parameter and uncertainty estimation when both variables are subject to error. Case study: estimation of Si consumption and regeneration rates in a marine environment

The problem of estimating parameters and their uncertainty from experimental measurements in marine ecosystems is a common task and often necessitates solving nonlinear equations. If the measurements are subject to individually varying errors (i.e., heteroscedastic data), the parameters are often estimated using a Weighted Least Squares (WLS) method. For estimating the parameter uncertainties, a linearized expression for the covariance matrix exists. Yet, both methods assume that the errors on the independent variable, also called “input”, is negligible, which is often not true. For instance, in order to determine uptake and regeneration rates of silicic acid by phytoplankton, concentration and isotopic abundance measurements are performed at the beginning (input) and at the end (output) of an incubation experiment. Here, the so-called input and output are measurements of the same quantities, i.e., determined in exactly the same way, only differing by the time at which the measurements were performed. Clearly, there is no reason to assume that the input measurements are subject to less error than the output measurements. We propose a refinement of the two abovementioned estimation methods which enlarges their applicability to cases where input noise is not negligible. The refined methods are evaluated on the uptake and regeneration processes of silicic acid and compared to the original procedures using Monte-Carlo simulations. The results reveal a smaller bias for the refined WLS estimator compared with the original one. An additional advantage of using the refined WLS cost function is that its residual value can be interpreted as a sample from a χ² distribution. This property is especially useful because it enables an internal quality control of the results. In addition, the parameter uncertainty estimation is significantly improved. By neglecting the effect of the input noise, a (potentially) important origin of the parameter variation is simply ignored. Therefore, without the refinement, the parameter uncertainties are systematically underestimated. Using the refined method, this systematic error disappears and on the whole, the parameter standard deviations are accurately estimated.     

谈高等级公路造价管理应用微机的必要性

结合实例比较 ,说明在高等公路造价管理中应用微机的必要性及优点 ,认为应把微机应用贯穿于整个造价管理工作中。