基于有限状态机的自动切换机制的设计与实现

为应对各种复杂的无线通信环境,如乒乓效应、快速切换、异构网切换等问题,介绍一种基于有限状态机的移动终端自动切换的控制方法,通过记录状态对各种正常以及异常事件的响应,构建完备的有限状态机对终端的切换过程进行自动控制.本文还介绍了自动切换机制在实脸网络中的实现过程.结果表明,采用有限状态机控制的切换过程能够很好地处理各种可预见的事件,根据实际情况灵活调节各种参数,提高切换的灵活性和稳定可控性.     

A study of tour-based mode choice based on a Support Vector Machine classifier

A new approach in recognizing travel mode choice patterns is proposed, based on the Support Vector Machine classification technique. The tour-based travel demand dataset that is analysed is for New York State, derived from the 2009 U.S. National Household Travel Survey. The main features characterizing each tour are the means used, travel-related variables and socioeconomic aspects. Results obtained demonstrate the ability to predict to some extent, in real settings where car use dominates, which tours are likely to be made by public transport or non-motorized means. Moreover, the flexibility of the technique allows assessing the predictive power of each feature according to the combination of travel means used in different tours. Potential applications range from activity-based travel choice simulators to search engines supporting personalized travel planners – in general, whenever ‘best guesses’ on mode choice patterns have to be made quickly on large amounts of data prejudicing the possibility of setting up a statistical model.     

上海集装箱运输的现状与发展思考

在调查上海集装箱港航企业基础上,分类地统计了有关上海集装箱运输的数据。基于对上海集运产业的认识,结合本次调查所掌握的实际情况,对上海集运产业的发展提出了若干建议。在软件建设方面,尽快形成综合开发队伍,提高管理系统软件的开发层次和开发速度;加快电子单证、电子签名等的技术研究与立法工作;开发更为完善的生产作业指挥系统。在企业发展战略方面,着重从稳定货源、加强合作、着力开拓三方面进行了论述。     

Campus parking supply impacts on transportation mode choice

Parking demand is a significant land-use problem in campus planning. The parking policies of universities and large corporations with facilities located in small urban areas shape the character of their campuses. These facilities will benefit from a simplified methodology to study the effects of parking availability on transportation mode mix and impacts on recruitment and staffing policies. This paper, based on a case study of North Dakota State University in the United States, introduces an analytical framework to provide planners with insights about how parking supply and demand affects campus transportation mode choice. The methodology relies only on aggregate mode choice data for the special generator zone and the average aggregate volume/capacity ratio projections for all external routes that access the zone. This reduced data requirement significantly lowers analysis cost and obviates the need for specialized modelling software and spatial network analysis tools. Results illustrate that the framework is effective for analysing mode choice changes under different scenarios of parking supply and population growth.     

基于时延数据融合的港口船舶监控策略研究

在对现有港口船舶航行监控方法以及导航技术详细分析的基础上,结合基于Kalman滤波的数据融合技术,讨论了利用雷达、GPS以及AIS数据进行港口船舶导航算法和监控策略的设计问题。针对现有的时延平滑估计存在的缺点,提出一种基于时延的集中式预测估计融合算法。新算法具有很高的实时性和可实施性,同时,将新算法与现有的时延平滑估计融合算法相集成,提出一种完整的船舶导航和监控策略,计算机仿真算例验证了新算法的优越性,同时显示了新监控策略的有效性。     

Bayesian statistical data assimilation for ecosystem models using Markov Chain Monte Carlo

This study considers advanced statistical approaches for sequential data assimilation. These are explored in the context of nowcasting and forecasting using nonlinear differential equation based marine ecosystem models assimilating sparse and noisy non-Gaussian multivariate observations. The statistical framework uses a state space model with the goal of estimating the time evolving probability distribution of the ecosystem state. Assimilation of observations relies on stochastic dynamic prediction and Bayesian principles. In this study, a new sequential data assimilation approach is introduced based on Markov Chain Monte Carlo (MCMC). The ecosystem state is represented by an ensemble, or sample, from which distributional properties, or summary statistical measures, can be derived. The Metropolis-Hastings based MCMC approach is compared and contrasted with two other sequential data assimilation approaches: sequential importance resampling, and the (approximate) ensemble Kalman filter (including computational comparisons). A simple illustrative application is provided based on a 0-D nonlinear plankton ecosystem model with multivariate non-Gaussian observations of the ecosystem state from a coastal ocean observatory. The MCMC approach is shown to be straightforward to implement and to effectively characterize the non-Gaussian ecosystem state in both nowcast and forecast experiments. Results are reported which illustrate how non-Gaussian information originates, and how it can be used to characterize ecosystem properties.     

区域间港口国监督的发展现状及实施比较

为消除低标准船、加强海上安全、保护海洋环境及改善船员生活与工作条件,区域性港口国监督制度已经成为一项成效显著的利器并得到全球共识。从1982年3月巴黎备忘录成立以来,经过二十多年的发展,全球已建立九个区域性的港口国监督。本文重在介绍九大港口国监督区域的发展现状,并比较其实施的效果,拟供完善我国港口国监督制度的参考。     

船舶登记制度对我国航运的影响

船舶所有权的取得、转让必须经过登记才能受到国际法的保护。船舶登记是当事人取得法律依据保护其合法权益的途径,也是海事机关对船舶所有权及其流转实施管理的手段。通过分析我国船舶登记制度的现状以及造成我国船舶移籍海外的原因,提出了缓解我国船舶移籍海外现象,吸引方便旗船回归的几点建议。     

基于状态空间法的受电弓主动控制的研究

建立线性化的受电弓模型和接触网的有限元模型、以及它们的耦合系统动力学模型,分析接触网的刚度变化,利用最优控制理论对主动控制式受电弓进行了理论上的研究。根据高速铁路对受电弓和接触网动力学性能的要求,从降低接触压力的波动以改善受流质量着手,针对弓网关系的特点,建立了受电弓主动控制系统模型,采用全状态反馈设计并利用线性二次型最优控制策略设计了受电弓主动控制的控制器,并求得了控制器参数。对控制系统进行仿真验证和研究。结果表明,采用主动控制式受电弓,能够降低接触压力的波动,提高弓网系统的动态性能,改善受流质量。     

纯电动汽车动力锂电池SOC估计策略综述

电池管理系统(BMS)采用了防止电池过放电和过充,提供电池均衡控制,能够实现新能源汽车动力锂电池的最佳利用和保护。电池管理系统实时精准估算电池电荷状态(SOC)是提高电动汽车续航里程和延长寿命的关键。然而,SOC不能直接测量,动力电池的充、放电又是一个复杂过程,导致目前现有的SOC估算策略很难精确地估算出实时在线SOC值。因此,如何提高SOC估算精度是当下BMS领域的研究热点。本文通过对各种SOC估算方法进行文献综述,分析和总结各个SOC估算方法的原理及优缺点,提出SOC估计策略未来发展趋势。