基于神经网络的半主动悬架自适应模糊控制

提出了基于神经网络的自适应模糊控制策略。模糊控制主要用来对付系统的非线性；神经网络根据振动响应的方差递推结果来辨识车体的振动情况实时调节模糊控制器的量化因子，使模糊控制器对路面的变化具有自适应的能力。在半主动悬挂1／4车非线性模型的基础上进行了仿真研究。     

混合动力--未来城市公交的明星动力

本文阐述了目前国内外混合动力总成常用的几种方案,介绍了一种适合康明斯发动机的混合动力方案,展望了该动力总成的开发前景。     

常用道路改性沥青及改性剂的选择原则

通过对各类改性沥青性能的分析 ,探讨了根据不同气候条件、不同荷载条件、现有加工能力以及成本分析进行选择改性剂的原则     

振冲碎石桩在软土地基处理中的应用

结合工程实例 ,对振冲碎石桩加固软土地基的机理加以分析。     

中国和美国汽车保险比较——谈投保人对保险费率的影响

汽车保险是我国财产保险中份额最重的一项，随着中国汽车工业的迅猛发展，我国的汽车保险业也将迎来一个黄金期。但是与汽车王国美国相比较，我国汽车保险费率的厘定，更多地关注汽车本身，而忽略投保人这一主体因素，更多地关注人的因素，是加入WTO后的我国汽车保险人值得重视的一个话题。     

Driver behavior formulation in intersection dilemma zones with phone use distraction via a logit-Bayesian network hybrid approach

Use of cellular phone while driving is one of the top contributing factors that induce traffic crashes, resulting in significant loss of life and property. A dilemma zone is a circumstance near signalized intersections where drivers hesitate when making decisions related to their driving behaviors. Therefore, the dilemma zone has been identified as an area with high crash potential. This article utilizes a logit-based Bayesian network (BN) hybrid approach to investigate drivers' decision patterns in a dilemma zone with phone use, based on experimental data from driving simulations from the National Advanced Driving Simulator (NADS). Using a logit regression model, five variables were found to be significant in predicting drivers' decisions in a dilemma zone with distractive phone tasks: older drivers (50–60 years old), yellow signal length, time to stop line, handheld phone tasks, and driver gender. The identified significant variables were then used to train a BN model to predict drivers' decisions at a dilemma zone and examine probabilistic impacts of these variables on drivers' decisions. The analysis results indicate that the trained BN model was effective in driver decision prediction and variable influence extraction. It was found that older drivers, a short yellow signal, a short time to stop line, nonhandheld phone tasks, and female drivers are factors that tend to result in drivers proceeding through intersections in a dilemma zone with phone use distraction. These research findings provide insight in understanding driver behavior patterns in a dilemma zone with distractive phone tasks.     

A data model applied to the knowledge-based ICAS

Image-guided computer aided surgery system (ICAS) contributes to safeness and success of surgery operations by means of displaying anatomical structures and showing correlative information to surgeons in the process of operation. Based on analysis of requirements for ICAS, a new concept of clinical knowledge-based ICAS was proposed. Designing a reasonable data structure model is essential for realizing this new concept. The traditional data structure is limited in expressing and reusing the clinical knowledge such as locating an anatomical object, topological relations of anatomical objects and correlative clinical attributes. A data structure model called mixed adjacency lists by octree-path-chain (MALOC) was outlined, which can combine patient's images with clinical knowledge, as well as efficiently locate the instrument and search the objects' information. The efficiency of data structures was analyzed and experimental results were given in comparison to other traditional data structures. The result of the nasal surgery experiment proves that MALOC is a proper model for clinical knowledge-based ICAS that has advantages in not only locating the operative instrument precisely but also proving surgeons with real-time operation-correlative information. It is shown that the clinical knowledge-based ICAS with MALOC model has advantages in terms of safety and success of surgical operations, and help in accurately locating the operative instrument and providing operation-correlative knowledge and information to surgeons in the process of operations.     

基于VRML的陀螺仪三维仿真

利用虚拟现实语言VRML对陀螺仪的三维结构和基本特性进行仿真,实现了三维交互演示陀螺仪结构和基本特性,使陀螺仪学习者在学习过程中能对陀螺仪有一个更加直观的认识,为理解陀螺罗经的指北原理提供了一条简洁、直观的手段.文中叙述了在虚拟环境下实现陀螺仪三维动态仿真的过程并给出了相关的源代码.     

城市公交系统的时间可靠度研究

针对城市公共交通系统的行车时间和行车问隙易受影响的特点,以整个公交出行链为落脚点,从出行者的角度对公交的运行时间和乘客的在站等车时间进行了研究,建立了公交的运行时间可靠度、等候时间可靠度模型.以北京市为例,对晚高峰的公交时间可靠度进行了计算和分析,结果表明北京市的公交时间可靠度为中等水平.