渤海波浪地理信息系统的建立

随着地理信息系统(GIS)的广泛应用,建立一个具有波浪预报或后报功能的信息系统为工程建设服务,不仅十分必要,而且随着波浪模拟技术的发展变得可能。文中论述了采用第三代波浪模型中的SWAN(SimulatingWAves Nearshore)来模拟渤海波浪场,在获得较长时间波浪模拟结果的基础上,对渤海波浪地理信息系统的建立进行了一些尝试和探索。这些波浪资料对于港口及海洋工程是十分必要的。     

尺度适应性二代小波的图像去噪方法

根据二代小波变换的基本理论和特点,研究二代小波对图像去噪的效果。提出基于二代小波的尺度适应性分解算法,并使用改进阈值函数进行阈值分析后再对噪声图像进行去噪处理。实验结果证明,使用尺度适应性二代小波对图像去噪比其他方法具有更好的效果,去噪后的图像信噪比大大提高。     

新一代调度集中（CTC）对无线移动通信的需求分析及实现方案探讨

本文简要介绍了新一代调度集中的主要特点，重点分析其对无线移动通信的要求，并分析了目前常见解决方案各自的利弊，就存在的问题提出了观点。     

基于排序二叉树的摘挂列车编组钩计划自动编制方法

根据摘挂列车编组调车作业原理,将摘挂列车下落问题抽象为排序问题,提出一种基于排序二叉树的编组钩计划自动编制方法.根据待编列车序列构造排序二叉树;利用排序二叉树的有序性快速搜索出有序车组序列,将其作为下落方案的可选集.考虑邻组、暂合列内收编固定组组别和空闲组别、端组等因素,从可选集中筛选出较优的下落方案.通过定义收编固定组简化列车收编过程,实现列车收编过程的计算机自动编制.通过实例验证,采用该方法降低了选择下落方案的复杂性,减少了列车编组钩计划的调车钩数,而且可根据实际调车线数灵活调整方案.     

光伏发电技术在轨道交通客车中的应用

轨道交通客车在载客运行的过程中消耗大量的电能。采用光伏发电技术后,蓄电池组将太阳能电池发出的电能存储,并随时与客车充电机进行电耦合,共同为客车供电。客车光伏电系统主要由光伏发电系统充电机、升降压斩波器、直流负载及供电控制系统组成。其中,光伏发电系统主要由光伏电池组件、发电控制器、蓄电池组及升降压斩波器组成。详细介绍了客车光伏供电系统的工作原理。     

基于分布式发电的单相双凸极直流发电机原理和时步有限元分析

分布式发电(DG)是指在公共电力系统中的关键部位或在用电负载处使用小型发电机(组)供电的模式,合理发展分布式供电有利于节约能源和保护环境。文章提出单相双凸极直流发电机作为小型清洁能源分布式直流电源系统的主发电机,其结构简单、功率重量比高、转速高,可以起到简化系统、降低成本、提高可靠性的作用。首先介绍了该型电机的原理和构成方法,然后运用时步有限元法对发电机进行电磁计算,分析、比较了电励磁、永磁单相4极/6极(定子极数/转子极数)双凸极直流发电机和三相电励磁6极/4极双凸极直流发电机的外特性和功率曲线,以及电励磁单相4极/6极双凸极直流发电机的3种发电方式的外特性和功率曲线,最后分析并仿真验证了减小输出电压脉动的方法。     

Neighborhood services,trip purpose,and tour-based travel

Communities are increasingly looking to land use planning strategies to reduce drive-alone travel. Many planning efforts aim to develop neighborhoods with higher levels of accessibility that will allow residents to shop closer to home and drive fewer miles. To better understand how accessible land use patterns relate to household travel behavior, this paper is divided into three sections. The first section describes the typical range of services available in areas with high neighborhood accessibility. It explains how trip-based travel analysis is limited because it does not consider the linked (chained) nature of most travel. The second section describes a framework that provides a more behavioral understanding of household travel. This framework highlights travel tours, the sequence of trips that begin and end at home, as the basic unit of analysis. The paper offers a typology of travel tours to account for different travel purposes; by doing so, this typology helps understand tours relative to the range of services typically offered in accessible neighborhoods. The final section empirically analyzes relationships between tour type and neighborhood access using detailed travel data from the Central Puget Sound region (Seattle, Washington). Households living in areas with higher levels of neighborhood access are found to complete more tours and make fewer stops per tour. They make more simple tours (out and back) for work and maintenance (personal, appointment, and shopping) trip purposes but there is no difference in the frequency of other types of tours. While they travel shorter distances for maintenance-type errands, a large portion of their maintenance travel is still pursued outside the neighborhood. These findings suggest that while higher levels of neighborhood access influences travel tours, it does not spur households to complete the bulk of their errands close to home.     

GSM-R中跨SGSN更新时源SGSN域名解析数据的智能生成方案设计

源SGSN域名解析数据是GSM-R网络编号方案数据中重要的需跨局制作的一类数据。由RAI编码构造生成,在跨SGSN路由区更新时,存储于DNS中,以解析源SGSN的IP地址。全路400多条G网线路,错综复杂的基站引用关系,导致数据复杂多样。针对该情况,利用聚类分析和关联规则分析算法,研究源SGSN解析数据的智能生成方案,提高数据的全面性、准确性,从而有效保障GSM-R分组域应用业务的正常运转。     

The generators of paratransit trips by persons with disabilities

Identifying the generators of paratransit trips by persons with disabilities is important to comprehend the current demand patterns and forecast future demand. Only a handful of studies have been conducted so far to identify the generators of paratransit trips and most focused on the home end of the trips. Given some of the inconsistencies in past studies and the scarcity of studies on the generators of trips away from home, this study attempts to identify the generators of paratransit trips beginning and ending at clients’ homes and away from home. It uses an extremely large dataset consisting of 1.91 million trips made by NJ TRANSIT’s Access Link clients, socioeconomic data from the American Community Survey, employment data from the Longitudinal Employer-Household Dynamics, and establishment data from Dun and Bradstreet. The analytical methods include an ordinary least squares model (OLS) and several spatial generalized linear mixed models (GLMM) to identify the characteristics of census block groups associated with Access Link trip generation at home and away from home, Geographic Information System (GIS) analysis to identify the types of establishments located in the immediate vicinity of drop-offs, and a multinomial logit model (MNL) to examine the relationship between the characteristics of the establishments in the vicinity of drop-offs and the characteristics of the dropped-off clients. Together, the various analyses provide useful insights about paratransit trip generators at the macro and micro levels. Some implications of the findings are discussed.     

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飞机多机种出动架次率是衡量飞机作战效能的重要指标,本文对空军场站军用飞机多机种（型）出动架次率进行了研究。通过对飞机出动回收过程的描述,基于排队理论建立多服务器多服务率的飞机多机种（型）出动回收网络模型,并采用扩展后的平均值分析对飞机出动能力进行了求解。通过解析计算,给出飞机多机种（型）出动架次率曲线,分析架次率与飞机数量之间的关系,并结合平均队长、利用率等系统性能指标,识别出制约飞机多机种（型）出动架次率提高的因素。最后通过蒙特卡洛仿真对构建的回收网络模型的计算结果进行验证。验证结果表明,飞机多机种（型）出动网络模型及其算法适合应用于实践中,并且有助于对空军场站飞机多机种（型）出动能力的研究。