船用柴油机相继增压气动蝶阀切换时间研究

建立柴油机相继增压蝶阀气动控制系统的物理模型,并应用气压传动系统动力学理论建立蝶阀控制系统数学模型;然后利用MATLAB/Simulink编制的仿真程序对蝶阀转换过程进行仿真计算,结果得出了影响蝶阀切换时间的主要因素及影响规律;最后搭建了蝶阀气动控制系统的试验台,通过试验结果和仿真结果的对比,验证了仿真结果的可靠性;为深入了解蝶阀控制系统的特性提供了理论依据.     

Commuters’ behavior towards upgraded bus services in Greater Beirut: Implications for greenhouse gas emissions,social welfare and transport policy

Climate change is one of the most critical environmental challenges faced in the world today. The transportation sector alone contributes to 22% of carbon emissions, of which 80% are contributed by road transportation. In this paper we investigate the potential private car greenhouse gas (GHG) emissions reduction and social welfare gains resulting from upgrading the bus service in the Greater Beirut Area. To this end, a stated preference (SP) survey on mode switching from private car to bus was conducted in this area and analyzed by means of a mixed logit model. We then used the model outputs to simulate aggregate switching behavior in the study area and the attendant welfare and environmental gains and private car GHG emissions reductions under various alternative scenarios of bus service upgrade. We recommend a bundle of realistic bus service improvements in the short term that will result in a reasonable shift to buses and measurable reduction in private car emissions. We argue that such improvements will need to be comprehensive in scope and include both improvements in bus level of service attributes (access/egress time, headway, in-vehicle travel time, and number of transfers) and the provision of amenities, including air-conditioning and Wi-Fi. Moreover, such a service needs to be cheaply priced to achieve reasonably high levels of switching behavior. With a comprehensively overhauled bus service, one would expect that bus ridership would increase for commuting purposes at first, and once the habit for it is formed, for travel purposes other than commuting, hence dramatically broadening the scope of private car GHG emissions reduction. This said, this study demonstrates the limits of focused sectorial policies in targeting and reducing private car GHG emissions, and highlights the need for combining behavioral interventions with other measures, most notably technological innovations, in order for the contribution of this sector to GHG emissions mitigation to be sizable.     

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.     

基于AHP的道桥建设最佳顺序决策计算

在城市交通建设规划中桥梁对区域经济发展的带动及交通出行带来重要的影响，而对于一定规划期内即将建设的多道桥，采取怎样的顺序才能达到建设的最大收益。文中建立了用于规划中的多道桥最佳建设顺序的层次模型，给出了多目标模糊决策的数学模型。确定了各种影响因素的模糊录属度函数，应用层次分析方法确定了各个影响因素的权重。并以兰州市为例提出了应用多目标模糊决策的方法来实现在多种模糊因素影响下的桥梁建设最佳顺序分析。     

接地变压器保护整定

分析了中性点经小电阻接地系统发生单相接地时的电流分布,对曲折型接地变压器保护与电缆馈出线零序过流保护的配合问题进行了探讨,并阐述了个人的观点。     

一种用m序列产生有限域GF(2m)上元素矢量表的算法

有限域理论在伪随机序列设计中有着非常广泛的应用。有限域上函数（如迹函数）的加、减运算需要用到域上元素的矢量形式。给出有限域的一些特性和运算法则并提出一种利用m序列产生有限域GF（2^m）上所有元素矢量形式的算法。该算法避免使用长除法，可以加快域上元素矢量表的生成速度，编程实现也很简单。     

新型多粒度物理帧时槽交换技术

在分析现有的基于DWDM的多粒度交换技术存在问题的基础,提出了一种基于DWDM的、能够保证服务质量的新型的多粒度交换技术———物理帧时槽交换技术(Physical Frame Time slot Switching, PFTS)。文中给出了PFTS的帧结构,对PFTS的工作过程和特点以及PFTS的服务质量保证机制进行了讨论。最后将PFTS与近年文献中报道较多的多粒度光突发数据块交换———OBS(Optic Burst Switching)进行了比较。仿真结果表明:在保证服务质量的前提下,PFTS的信道利用率明显高于OBS。     

具有宽电压调节范围的谐振型变流器

针对传统的变流器中输出电压一般总是低于交流输入电压的状况，提出了一种新型串联谐振直流环节变流器。该变流器在取消直流大电感，并为开关器件提供零电流开关条件的同时，还可以实现变流器输出电压在交流输入电压以上或以下的较宽范围内任意调节，而不受输入电压大小的限制。介绍了电路的工作原理，给出了升压及降压时两组有代表性的试验波形。     

世界高速电气化铁道电能质量现状及治理措施

介绍了国际高速电气化铁道电能质量的现状、有关标准和改善电能质量方面的进展.探讨了我国为提高电能质量在接入系统电压等级、短路容量、供电方式、变压器类型、机车类型、接触网设计等方面应该采取的措施,在已运营电气化铁道上如何通过在机车侧、牵引变电所和公共连接点加设补偿滤波装置以及合理安排行车调度等方式来改善电能质量,并应考虑同相供电和高压直流供电等新型的供电方式.     

能实现岸电相序手、自动整定电路的研究

根据目前船舶岸电箱的不足之处,提出了一种新型的岸电相序手、自动整定及缺相保护电路。该电路从三相不对称电路的特性开始分析,对信号的采集、处理及控制进行了讨论,设计出具体的手、自动转换控制电路图,并对电路的工作原理作了较详尽的介绍。