马尔柯夫灰色残差模型在剐构桥控制中的应用

文章结合罗天乐特大桥的马尔柯夫灰色残差模型预测实例,介绍马尔柯夫灰色残差模型在线性控制中的原理、计算及应用过程,并根据实际监控经验提出了建议。罗天乐特大桥的具体监控应用实践表明,马尔柯夫灰色残差模型预测精度高,能较好地应用于大跨连续刚构桥的施工线形控制。     

一种恶劣天气下高速公路车流稳健控制方式

高速公路的安全运营受恶劣天气影响显著,尤其是在极端恶劣的天气情况下。在车辆跟驰理论的基础上提出了一种车流控制方式,并结合车间距和车流安全的影响因素,推导得出了恶劣天气下能见度与高速公路安全行车速度的关系。研究为恶劣天气条件下高速公路的不间断安全运营提供了理论依据。     

基于BP-DS证据理论的航标状态识别模型研究

内河航标标示了可航行水域的边界,是保障内河船舶安全航行的重要前提.面向内河航标不同故障模式,构建一种基于BP-DS证据理论的航标状态识别模型.采用两个BP神经网络分别训练航标基础属性数据与环境因素数据,计算独立的证据值;通过DS证据理论实现航标运行状态识别结果的决策融合.结果表明,基于BP-DS证据理论的航标状态识别模...     

宿迁市运河文化桥现状老桥护栏提升改造设计及应用

随着经济和社会的发展,城市道路的快速化改造工程越来越多。由于新建道路设计时速及标准均有提高,既有现状老桥的防撞护栏等级已经不能满足新建城市快速路标准的要求,需要对现有老桥防撞护栏进行提升改造。以宿迁市迎宾大道二期快速化改造工程为例,介绍了现状运河文化桥老桥防撞护栏的提升改造设计方案,并采用屈服线分析和强度设计理论及非弹性分析方法进行了计算分析。在实际工程应用中,取得了良好的效果,以期为类似的现状老桥护栏提升改造项目提供借鉴。     

企业单位内部会计控制解读及强化

文中通过对企业单位内部会计控制的学习理解,分析内部会计控制的实现手段,根据COSO内控理论,从完善企业的控制环境、进行全面的风险评估、设立良好的控制活动、建立广泛的信息与交流、加强内部控制的监督与评审等五个方面,提出了加强企业单位内部会计控制的措施。     

Verifying liner Shipping Alliance’s stability by applying core theory

The core is a vital concept in cooperative game theory and has been widely used in analyzing alliance’s stability. It is especially interesting to apply core theory in liner shipping market due to the latter’s exceptional characteristic of non-homogeneous cost curves as well as divisible and fluctuant demand. Having observed some new phenomena and trends in the industry, this paper studies the economic performance and stability of liner shipping alliance by applying core theory where business cooperation is partly realized by delivering joint-service with mega container ships. To demonstrate the core situation in liner shipping alliance, a cost function is first identified on the basis of two assumptions regarding cooperation: 1) sharing or pooling vessels and 2) deploying mega container ships if needed. Taking cost functions as basis, two conditions of approaching core may be groomed, i.e., collective rationality and individual rationality. The first condition is discussed from the perspective of market, while the second condition is studied within the alliance. Stability of liner shipping alliance is then observed based on these two conditions. An illustrative case study is conducted in order to show some implications and explicitly clarify the theory.     

高职《建筑材料》课程教学改革与实践

针对建筑材料课程在理论和实践课教学中存在的不足,就建筑材料理论教学和实践教学及教学方法的改革提出几点可行性建议,从而激发学生的学习兴趣,培养其创新能力,为毕业生在今后的设计和施工工作中合理选材打下坚实的基础。     

Short-term forecasting of high-speed rail demand: A hybrid approach combining ensemble empirical mode decomposition and gray support vector machine with real-world applications in China

Short-term forecasting of high-speed rail (HSR) passenger flow provides daily ridership estimates that account for day-to-day demand variations in the near future (e.g., next week, next month). It is one of the most critical tasks in high-speed passenger rail planning, operational decision-making and dynamic operation adjustment. An accurate short-term HSR demand prediction provides a basis for effective rail revenue management. In this paper, a hybrid short-term demand forecasting approach is developed by combining the ensemble empirical mode decomposition (EEMD) and grey support vector machine (GSVM) models. There are three steps in this hybrid forecasting approach: (i) decompose short-term passenger flow data with noises into a number of intrinsic mode functions (IMFs) and a trend term; (ii) predict each IMF using GSVM calibrated by the particle swarm optimization (PSO); (iii) reconstruct the refined IMF components to produce the final predicted daily HSR passenger flow, where the PSO is also applied to achieve the optimal refactoring combination. This innovative hybrid approach is demonstrated with three typical origin–destination pairs along the Wuhan-Guangzhou HSR in China. Mean absolute percentage errors of the EEMD-GSVM predictions using testing sets are 6.7%, 5.1% and 6.5%, respectively, which are much lower than those of two existing forecasting approaches (support vector machine and autoregressive integrated moving average). Application results indicate that the proposed hybrid forecasting approach performs well in terms of prediction accuracy and is especially suitable for short-term HSR passenger flow forecasting.     

信号采样理论在交通流检测点布设中的应用

在对交通流检测点布设领域研究应用现状进行分析与抽象的基础上,提出交通流检测点布设本质上属于空间交通流信号采样问题。依据信号采样理论,建立了确定检测点间距或密度的方法与流程,该流程包括空间交通流信号产生、离散傅里叶变换、频谱分析、间距确定、误差分析5个步骤。对高速公路拥挤状态下的仿真分析表明:100 m的检测点间距可以满足对拥挤交通流状态的真实检测,该数值接近于实际应用中的最小值(125 m),说明该理论方法具有较好的实用性。     

基于最优理论的CVT多片湿式离合器片间压力的确定

利用最优理论和方法,结合湿式离合器的特点,提出无级变速器湿式离合器接合过程中摩擦片间最佳压力的确定方法。仿真结果表明,相对于基于线性压力的控制方法,基于最优理论确定的摩擦片间压力能较好的解决无级变速器湿式离合器接合过程中滑磨功和冲击度之间的矛盾,实现了汽车的平稳快速起步。