DNA BIO SOFT COMPUTING AND ITS APPLICATIONS TO INTELLIGENT SYSTEMS

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A framework to analyze the vulnerability of European road networks due to Sea-Level Rise (SLR) and sea storm surges

This study proposes a framework to explore the concepts of exposure, vulnerability and connectivity in EU road network and to assess the potential transportation infrastructure sensitivities towards Sea-Level Rise (SLR) and storm surges. The magnitude and significance of impacts were determined and knowledge of network robustness was built up based on existing climate data and on future trends. Various spatial databases were integrated and a four-stage transport model was used to explore the likely impacts of network degradation. The pattern of the network was assessed via both node- and link-based measurements, where different road databases, namely TRANS-TOOLS and Tele Atlas/TomTom, were employed in order to analyze the impact of spatial resolution within network connectivity analyses. This general framework developed for European Union, was tested on a specific and articulated case study area; namely, the north-east coastal region of Spain. The research conducted, yielded useful methods for the analysis of network vulnerability, where impacts are more significant in regional accessibility patterns. Accessibility indicators at the regional level changed drastically, with some regions showing up to a 26% decrease. According to the results of network connectivity indicators, the changes in network topology have reduced the number of alternative routes and placed more pressure on the transport system. The implementation of this framework and quantitative assessment methodologies outlined in this paper could be employed to assist policy makers to recognize the opportunities that may arise or diminish the adverse effects.     

Numerical investigation on effect of the relative motion of stock/switch rails on the load transfer distribution along the switch panel in high-speed railway turnout

In railway turnout, the stock rail and switch rail are separated to enable the vehicle changing among the tracks, and they are provided with different rail resilience level on the baseplate. Therefore, there will be vertical relative motion between stock/switch rails under the wheel loads, and the relative motion will affect consequentially the wheel–rail contact conditions. A method is developed to investigate the effect of the relative motion of stock/switch rails on the load transfer distribution along the switch panel in high-speed railway turnout. First, the rigid wheel–rail contact points of stock/switch rails are calculated based on the trace line method, and then the contact status is determined by the presented equations, finally, the distribution of wheel–rail contact forces of stock/switch rails is obtained based on the continuity of interface displacements and forces which using an approximate surface deformation method. Some parametric studies have been performed, such as the lateral displacement of wheel set, the vertical contact forces, the wheel profiles and the vertical stiffness of rail pad. The results of the parametric study are presented and discussed.     

基于贝叶斯网的城市迁居者通勤方式变迁模型

随着中国城市空间布局的扩展与郊区化现象的加剧,城市内部居住迁移导致居民出行交通结构发生演变.国内关于迁居—出行行为的研究主要集中于对迁居人群机动化通勤趋势及变化成因的宏观描述上,从微观角度分析城市内部迁居人群通勤方式转变的研究尚为少见.本文以南京为例,构建基于贝叶斯网络的迁居人群通勤方式转移模型,模拟并分析个人家庭信息、迁居属性,以及小区建成环境感知变化对原非机动(步行、自行车或电动车)通勤人群出行方式转移的影响.结果表明:家庭汽车、个人收入、新车的购置、住房类型、购房方式、迁居类型、地铁通勤便捷度和地铁步站距离是影响原非机动通勤人群转向小汽车出行的主要因素.研究结果可为城市规划者制定迁居通勤机动化的建成环境调控政策提供一定科学依据.     

无线传感器网络技术及应用研究

传感器网络是由用于收集并传播环境数据的一些微小的，低功耗的传感器组成的密集的无线网络。他们可以很精确的在较远距离侦测和收集到物理环境的相关数据。无线传感器网络在军事、环境监测、交通管理、医疗、工业和民用等许多方面的潜在的巨大应用价值致使军事部门和工业界都对它非常关注。介绍了传感器网络的特点、结构形式及传感器网络的相关标准，概述了其广泛的应用前景，对当前国内外的研究动态进行了归纳总结，并提出几点应用中需注意的问题。     

基于BP神经网络和遗传算法的桥梁损伤识别方法研究

以钟祥汉江大桥的损伤识别为例，对基于BP神经网络和遗传算法的桥梁结构损伤诊断方法进行的实例应用研究，结果表明该方法兼有神经网络广泛的映射能力和遗传算法快速的全局收敛性能。     

神经网络在船舶柴油机调速中的应用

分析了柴油机电子调速器的系统组成及调速原理,介绍了经典PID算法和B-P神经网络,仿真和试验结果表明,基于BP神经网络的PID智能控制是一种有效的船舶柴油机调速控制方法.     

汽车电气设备教材对"附加电阻"的讲述有错

本文从点火线圈的初级电路始终处于暂态的工作过程,去看待无附加电阻的点火线圈和有附加电阻的点火线圈的特点,然后将它们进行对比得出结论:①附加电阻是在减小线圈的内阻条件下而设置的,线圈内阻减小后,发动机低转速时,平均电流虽大,但线圈内的发热功率并不大,线圈不会过热。②有了附加电阻,初级电路中多了一个分段点,有条件使发动机起动时将附加电阻短接,蓄电池电压虽下降了很多(可降到9 V),此电压直接加在点火线圈两端,点火线圈仍可供给充裕的点火能量。③附加电阻选用电阻温度系数小的材料,可以保证实现发动机高转速时不断火。     

An Adaptive Sliding Mode Tracking Controller Using BP Neural Networks for a Class of Large-scale Nonlinear Systems

A new type controller, BP neural-networks-based sliding mode controller is developed for a class of large-scale nonlinear systems with unknown bounds of high-order interconnections in this paper. It is shown that decentralized BP neural networks are used to adaptively learn the uncertainty bounds of interconnected subsystems in the Lyapunov sense, and the outputs of the decentralized BP neural networks are then used as the parameters of the sliding mode controller to compensate for the effects of subsystems uncertainties. Using this scheme, not only strong robustness with respect to uncertainty dynamics and nonlinearities can be obtained, but also the output tracking error between the actual output of each subsystem and the corresponding desired reference output can asymptotically converge to zero. A simulation example is presented to support the validity of the proposed BP neural-networks-based sliding mode controller.     

基于ADAMS的塑壳断路器机构与旋转式触头系统动力学分析

本文基于ADAMS分析了一种壳架电流等级为800 A的双断口塑壳断路器运动系统合闸、分闸、脱扣和再扣运动过程,并通过物理样机试验验证了该分析的正确性.研究结果表明,通过仿真计算可以准确分析断路器操作机构与触头系统的动力学特性,从而对机构进行优化获得所需要的机构运动特性和触头参数,为新型断路器设计提供理论基础;通过仿真分...