基于模糊模式识别的柴油机故障诊断研究

应用时序建模方法提取特征参数 ,在提出一种隶属函数计算方法的基础上 ,运用模糊模式识别方法进行燃油喷射系统故障诊断 ,并通过喷油泵试验台上的典型故障试验进行验证。     

Conformity: How VMT-speed distributions can affect mobile emission inventories

Transportation conformity is a US regulatory process that requires that transportation modeling be integrated with air quality modeling. Consequently, every change to either modeling process is undertaken with great scrutiny by the regional governments, who have to use the models for demonstrating conformity. This paper explores the "trip versus link debate," which stems from the fact that the standard travel demand models used by most metropolitan planning organizations are primarily link oriented, while the air quality models have been primarily trip oriented. Using the Sacramento region we examine the effects on mobile source emissions inventories when speed-VMT distributions are constructed using the trip and link-based philosophies. The results of our study indicate that trip-based VMT-speed distributions produce consistently lower emissions estimates than the link-based distributions. We use the results to assert that deciding between a trip-based or link-based conformity modeling process involves more than the technical difficulty of changesto the models or the potential political ramifications, it involves assessing which method will provide the most accurate estimates of regional motor vehicle emissions. We also examine ways to think about constructing mobile source emission inventories.     

土-结构相互作用的桥梁多尺度建模与分析

考虑土-结构相互作用(SSI)是地震激励下桥梁抗震性能评估的热难点之一.由于考虑土体影响多而建立的结构模型计算耗时极长,为了提高效率,现采用一致多尺度建模方法,将所研究部位建为实体单元,其他部位建为梁单元,单元之间采用适当的方法进行界面连接,保证宏观、精细单元间的变形协调,并对某一桥梁进行分析,验证了该方法的正确性.在此基础上,基于多尺度建模方法,建立三跨连续梁桥模型,对其进行弹塑性时程分析,对比分析考虑SSI和不考虑SSI效应的桥梁模型在地震激励下的响应结果,研究SSI效应对桥梁抗震性能的影响.结果表明:多尺度建模方法可以在保证计算精度的前提下有效地提高计算效率;考虑SSI效应能够有效地降低桥梁的抗震性能需求.因此,在设计时应加以考虑.     

新型景观护岸结构设计

介绍一种护岸结构造型及其特点,并为水工结构设计注入景观意识提供思路。     

基于鲁棒性的空调自控系统设计

分析了空调自控系统的主要特性,并介绍了一种基于组合自校正控制策略的自适应控制算法,同时采取一些解决工程实际问题的辅助措施,以增强系统的抗干扰能力和对未建模动态、时变参数的鲁棒性.     

The impact of road traffic noise on urban protected areas: A landscape modeling approach

We modeled the propagation of traffic noise over the landscape and analyzed its impact on the structure and configuration of protected areas of the Twin Cities Metro Region, Minnesota. Using four noise thresholds, we found that at low and medium noise levels, 19% and 11% of the protected areas are within the road-effect zone. Using mean patch area and patch shape index, we measured the acoustic fragmentation of habitats. We found that at higher levels of noise patch shape index increased, while mean patch size decreased. The acoustic diversity of a patch is also found to be correlated with land cover type, patch area, and patch shape.     

心理因素影响下游客节假日错峰旅游出行行为研究

错峰出行是解决出行时间集中引起交通拥堵问题的重要措施. 本文以节假日游客错峰出行行为为研究对象，探究心理潜变量对其错峰出行意向及行为的影响机理. 基于计划行为理论，同时考虑节假日旅游满意度，构建节假日游客错峰旅游出行行为的结构方程模型. 定量研究了态度、主观规范、知觉行为控制、节假日旅游满意度4 个心理因素对游客节假日错峰旅游行为意向及行为的影响. 最后通过问卷调查数据进行了实例分析. 研究结果表明，4 个潜在变量对节假日错峰旅游出行行为意向具有显著影响，其中知觉行为控制是关键因素且影响最大，节假日旅游满意度对节假日错峰出行行为意向及行为有显著负向影响. 本研究可为节假日游客错峰旅游出行措施的制定提供参考依据.     

对船舶污染损害侵权责任及索赔主体问题的探讨

船舶污染事故是造成海洋环境污染损害的主要原因之一,建立完善的船舶污染损害索赔机制,保证受损方获得及时的赔偿,是恢复海洋环境、维护受害者利益所必须的。文中从民法的基本原理出发,对国家海域所有权、海域使用权等进行了论述,并按照民事侵权责任的承担原则,对索赔权利主体的确定等问题进行了探讨。     

A new methodology for incident detection and characterization on surface streets

In this paper, a new methodology is presented for real-time detection and characterization of incidents on surface streets. The proposed automatic incident detection approach is capable of detecting incidents promptly as well as characterizing incidents in terms of time-varying lane-changing fractions and queue lengths in blocked lanes, lanes blocked due to incidents, and incident duration. The architecture of the proposed incident detection approach consists of three sequential procedures: (1) Symptom Identification for identification of incident symptoms, (2) Signal Processing for real-time prediction of incident-related lane traffic characteristics and (3) Pattern Recognition for incident recognition. Lane traffic counts and occupancy are the only two major types of input data, which can be readily collected from point detectors. The primary techniques utilized in this paper include: (1) a discrete-time, nonlinear, stochastic system with boundary constraints to predict real-time lane-changing fractions and queue lengths and (2) a pattern-recognition-based algorithm employing modified sequential probability ratio tests (MSPRT) to detect incidents. Off-line tests based on simulated as well as video-based real data were conducted to assess the performance of the proposed algorithm. The test results have indicated the feasibility of achieving real-time incident detection using the proposed methodology.