羟基锡酸锌包覆氢氧化镁

采用均匀沉淀法制取羟基锡酸锌,通过单因实验法考察了包覆质量比、包覆时间及包覆温度三个因素对ZnSn（OH）6包覆Mg（OH）2的包覆效果的影响,并且结合超声分散和共沸蒸馏制备了包覆效果较好的ZnSn（OH）6包覆Mg（OH）2.通过X射线衍射（XRD）、扫描电镜（SEM）、热重分析（DTA-TG）及能谱分析（EDX）等表征包覆产物,最终得出：ZnSn（OH）6包覆Mg（OH）2的最佳实验条件为：包覆质量比为20%;包覆反应时间为6 h;包覆反应温度为50℃.在此条件下制得的产物保持Mg（OH）2所呈现的形貌和热分解性能,不会影响其阻燃性能.     

影响某艇喷水推进器推进性能的若干因素

基于某艇的推进性能需求,以喷水推进器设计工况为分析对象,采用计算流体力学（Computational Fluid Dynamics,CFD）方法,建立计算模型,研究叶轮叶顶间隙、流道格栅密度、艇底水底间距、双泵轴间距等工程应用因素对推进性能的影响,可为某艇喷水推进器的设计、安装与使用等提供合理依据。     

带形城市轨道交通TOD模式研究

带形城市由于其特殊的自然地理环境,城市空间布局及发展受限,城市用地与交通之间的矛盾尖锐,市区交通拥堵问题严重,成为城市发展的瓶颈。为解决当前带形城市交通发展难题,应当在带形城市规划建设中引入以城市轨道交通引导的TOD发展模式,制定城市发展主轴,以城轨站点为中心开发周边土地,建设良好市区环境,有效拓展城市规模。城轨交通TOD模式能以自身优势破除城市交通发展难题,改善城市结构布局,为调整市区土地结构提供机遇,是带形城市轨道交通可持续发展的有效途径。以兰州市轨道交通2号线为例,结合TOD理论,提出规划意见和建议。     

Mesoscale subduction at the Almeria–Oran front: Part 1: Ageostrophic flow

This paper presents a detailed diagnostic analysis of hydrographic and current meter data from three, rapidly repeated, fine-scale surveys of the Almeria–Oran front. Instability of the frontal boundary, between surface waters of Atlantic and Mediterranean origin, is shown to provide a mechanism for significant heat transfer from the surface layers to the deep ocean in winter. The data were collected during the second observational phase of the EU funded OMEGA project on RRS Discovery cruise 224 during December 1996. High resolution hydrographic measurements using the towed undulating CTD vehicle, SeaSoar, traced the subduction of Mediterranean Surface Water across the Almeria–Oran front. This subduction is shown to result from a significant baroclinic component to the instability of the frontal jet. The Q-vector formulation of the omega equation is combined with a scale analysis to quantitatively diagnose vertical transport resulting from mesoscale ageostrophic circulation. The analyses are presented and discussed in the presence of satellite and airborne remotely sensed data; which provide the basis for a thorough and novel approach to the determination of observational error.     

Origin–destination synthesis for aviation network data: examining hub operations in the domestic and international US markets

Hub‐and‐spoke networking is a key feature of current aviation markets in which hubs, as connecting points, function to consolidate and redistribute flows. This indicates that observation of traffic on a segment does not necessarily convey information about the origin to destination routing of passenger journeys because of the unavoidable detours in the system. This paper examines the heterogeneity of the flow composition in domestic and international US markets, which in turn allows us to observe the variation of operations across major hubs. A modified Route Flow Estimator for origin–destination synthesis (or origin–destination matrix estimation) is designed to decompose the segment traffic into itinerary‐based passenger trips. Several public and commercial databases, which are easily accessible, are exploited (and reconciled) for the model in order to (i) generate possible trip itineraries using those segment markets, and (ii) link data‐driven operational conditions with the underlying segment flows. The results are validated with US domestic trip observations and empirical knowledge related to the air transportation system. Then, the variability of the hub operations is examined based on sensitivity tests using the model parameters. From the resolution of itinerary‐based estimates, we observe that major airports' hub operations are spatially uneven, particularly with respect to domestic and international connecting passengers. Copyright © 2017 John Wiley & Sons, Ltd.     

媒体网关在港口通信中的应用现状及前景

为适应发展需要，提高服务水平，港口通信网络在具备媒体网关的基础上引进软交换技术已成为一个趋势。介绍了综合接入媒体网关系统的功能及具体应用，媒体网关与软交换联接后对下一代港口通信网络发展的作用。     

Daily activity pattern recognition by using support vector machines with multiple classes

The focus of this paper is to learn the daily activity engagement patterns of travelers using Support Vector Machines (SVMs), a modeling approach that is widely used in Artificial intelligence and Machine Learning. It is postulated that an individual’s choice of activities depends not only on socio-demographic characteristics but also on previous activities of individual on the same day. In the paper, Markov Chain models are used to study the sequential choice of activities. The dependencies among activity type, activity sequence and socio-demographic data are captured by employing hidden Markov models. In order to learn model parameters, we use sequential multinomial logit models (MNL) and multiclass Support Vector Machines (K-SVM) with two different dependency structures. In the first dependency structure, it is assumed that type of activity at time ‘t’ depends on the last previous activity and socio-demographic data, whereas in the second structure we assume that activity selection at time ‘t’ depends on all of the individual’s previous activity types on the same day and socio-demographic characteristics. The models are applied to data drawn from a set of California households and a comparison of the accuracy of estimation of activity types and their sequence in the agenda, indicates the superiority of K-SVM models over MNL. Additionally, we show that accuracy in estimating activity patterns increases using different sets of explanatory variables or tuning parameters of the kernel function in K-SVM.     

An inverse finite element method for the analysis of VIV data

This paper presents an algorithm for the frequency domain solution of dynamic linear “inverse” problems, that is for the processing of measurement data (strain, acceleration etc.) acquired on a mechanical structure, in order to estimate the loads acting on the structure and its corresponding response. The problem is formulated as a constrained (force equilibrium) optimization (small deviations from measurements, small loads) problem, which is transformed into an unconstrained problem, then into differential equations. The algorithm is applied to the estimation of hydrodynamic forces induced by the shedding of vortices from an offshore oil riser.     

Virtual durability test rigs for automotive engineering

In recent years so-called ‘virtual test rigs’ have become more and more important in the development process of cars and trucks. Originally, the idea was to substitute expensive durability tests with computer simulation. Meanwhile, the focus has changed towards a more cooperative usage of numerical and laboratory rig simulation. For many safety critical issues laboratory tests remain indispensable. In early development stages, when no physical prototypes are available yet, numerical simulation is used to analyse and optimise the design. In this paper, we show how to build numerical simulation models of complex servo-hydraulic test systems and their test specimen using multi-body simulation for the mechanics in combination with simulation models for the hydraulics and controls. We illustrate this at two industrial application examples: a spindle-coupled passenger car suspension rig and a tyre-coupled full vehicle rig. We show how the simulation models are used to design and optimise better test rigs and to support the test rig operation by preparing the physical tests with new specimen, i.e. by performing numerical simulations including numerical drive file iteration before the physical tests start.     

基于安全库存管理的钢板采购订单优化

为合理安排钢板采购，有效降低库存占用，开展基于安全库存管理的钢板采购订单（Purchase Order，PO）优化研究。基于钢板采购流程和采购目标，分析钢板安全库存影响因素。根据钢板管理业务流程，阐述钢板安全库存管理流程，对钢板PO进行优化，帮助船厂更好地实现钢板管理。