符合开-闭原则的一种设计模式及应用

研究了怎样用Java接口设计出符合开-闭原则的软件系统,主要技术路线是通过分析Java接口的特点和优势、利用Java反射技术给出了符合开-闭原则的一种设计模式,利用这种设计模式可以设计出符合开-闭原则的软件系统.最后通过一个具体的广告牌软件系统的设计,阐述了所给出的模式的应用价值.     

滑模摊铺机施工中的平整度控制

水泥混凝土路面机械施工方法中最为先进的方法就是滑模摊铺机施工法,我国的滑模摊铺施工技术起步较晚,对该项技术的掌握也不是很好。针对如何提高滑模摊铺机的使用效率、提高施工质量进行分析,对滑模摊铺机的作业特点、对材料的要求以及保证平整度的措施等方面进行了探讨。     

高速公路ETC收费模式比较与测试方法

为保证整个ETC系统的可靠运行,需要对整个系统的功能进行严格测试,测试方案包括:室内测试、现场测试、系统指标测试和软件测试等内容.分别对组合式收费方式和主副卡式收费方式两种ETC收费方式进行测试,分析比较这两种ETC方式的优缺点,以确定适合路网实际情况的方式.最后,以苏南路网为例进行验证测试,并得出验证结论.     

植被护坡设计概述

植被护坡要达到护坡和美化环境的效果,一方面要将植被防护与工程防护有机地结合起来,建立既稳固又有生态效应的防护体系,另一方面要综合考虑草、灌、花、乔等多种类植物的合理搭配,以形成优美、协调、稳定的景观.     

The effect of attitudes toward cars and public transportation on behavioral intention in commuting mode choice—A comparison across six Asian countries

This study investigated the contribution of psychological factors in explaining the choice of transportation mode in six Asian countries. Data were collected from 1118 respondents in Japan, Thailand, China, Vietnam, Indonesia, and the Philippines. The dependent variable was the intention to use one of three modes for work travel after getting a job: car, public transit, or other modes. The explanatory variables were three attitude factors taken from a previous study, including: 1/symbolic affective, reflecting affective motives of travel mode use; 2/instrumental, referring to functional attributes of travel modes; and 3/social orderliness which represents for environmental friendliness, safety, altruism, quietness et cetera. Several logit model estimates were made using the samples from the six countries separately and together. We obtained three main findings. First, attitude variables about the car were all significant determinants for the entire sample from Asian countries. Second, the social orderliness aspect of public transit was a common concern of respondents from developing countries in selecting this mode for work trips. Third, in countries in which the intent to use a car was not very high, attitude factors about the car were found to be significant determinants of the behavioral intention to commute by car but were less significant in countries in which the desire to use a car was high.     

悬浮结构铁路信号设备雷击损坏的原因分析及防护方法探讨

很多铁路信号系统,特别是轨道电路的发送、接收和CAN总线均采用悬浮结构。为了防止出现第三轨问题,雷电防护方案中只加装差模(横向)防护用SPD,共模(纵向)防护是靠系统绝缘特性来承担。可是在实际应用中出现雷击损坏现象多是因为缺少共模防护。通过科研试验数据和现场雷害调查结果,综合分析该类悬浮系统共模雷击损坏特点,并针对防止出现第三轨问题,提出新的共模雷电防护方案供大家参考。     

Experimental and finite element analysis of fatigue strength for 300 mm2 copper power conductor

The fatigue strength of a 300 mm² stranded copper conductor was investigated experimentally and by finite element (FE) analysis. An analytical model was also developed and validated. Wires taken from the outer layer of the conductor were fatigue tested in tension–tension loading and compared with similar data for wires taken from a 95 mm² conductor. The wire cross section was deformed due to the compacting process that was applied during fabrication. When corrected for stress concentrations due to the deformation the data for the two sets of wire fell within the same scatter-band. Full scale testing was carried out in a specially designed rig with constant tensile load and reversed displacement controlled bending with a fixed curvature variation. The loading is a simulation of the loading of a power cable hanging from a floating vessel through a bellmouth. Conductors were tested in two states; dry and lubricated. A finite element model was established for the copper conductor. The model was formulated by a combination of elastic beam and beam-contact elements that included the effects of friction. The effect of local bending due to contact forces was included in the model. Two contact conditions were investigated; the point (trellis) contact between adjacent layers of wire and the inline contact within each layer and between the first layer (centre wire) and the second layer. The FE model was validated by a calibration test of a full scale conductor, and by sensitivity studies varying the size and the number of elements of the model. Fatigue analysis of the conductor was carried out, based on the S–N curve for individual wires. Taking into account the effects of friction and local bending, agreement was obtained between predicted and experimental fatigue strength of the conductor, for the FE model as well as the analytical model.     

聚四氟乙烯滑板滑道在满堂支架施工中的应用

以青岛海湾大桥第九合同段箱梁施工为例,介绍聚四氟乙烯滑板滑道在满堂支架施工中的应用,其施工工艺与传统的整体满堂式支架相比,具有施工进度快,施工周期短,需要配置垂直运输设备较少等特点;与箱梁滑模相比,具有结构简单,拼装模板简单快捷等特点。该施工工艺既能保证工程安全质量,又能加快工程进度,具有明显的经济效益,同时可为同类桥梁的施工提供参考和借鉴。     

谈汉英思维差异在语言应用上的表现

语言是文化的载体,思维的载体,中西方不同的思维模式决定了中西方语言应用中形态的差异性。本文对汉语和英语思维特征进行了描述和比较,目的是为了让语言学习者更好地了解语言背后的文化内涵,并能依照不同民族的思维特点,组织合适的语言。     

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.