新型列车运行控制系统——SCBTC系统

一种基于通行信号链的列车运行控制移动闭塞系统(SCBTC-MAS),可作为一个独立监测系统与现有列车运行控制系统(TBTC或CBTC)并联运行,为列车运行提供一个"双保险"机制。SCBTC-MAS具有精确、实时的轨道占用检测及闭塞控制能力,令列车在信号系统故障、列车定位失效、人为操作错误情况下,仍可有效避免相撞事故的发生。     

车身内部布置CAD系统及其应用

介绍了自行开发的汽车车身内部布置的ＣＡＤ系统，并就系统在设计中的应用了说明。该系统是在通用图形软件基础上进行二次开发而成的，以ＳＡＥ标准，ＥＥＣ标准及为主要依据，将ＣＡＤ技术运用到车身内部布置设计中。     

老化因素对沥青性能的影响

通过SHRP试验，分析沥青在老化过程中，各因素(时间、温度、氧、水)对其高、低温性能的影响，从而为沥青的再生提供依据。     

山区高等级公路某高路堤设计

针对山区某国道公路高边坡,使用岩土工程分析软件分析了边坡的稳定性。据分析结果左玻脚采用中硬岩石块进行填筑,边坡中部设平台进行加固,取得成功。     

汽车电子制动系统的研究初探

介绍了汽车电子制动系统的发展背景及现状,分析了电子制动系统的原理、结构及开发的关键技术,初步提出了该系统原理样机模块化设计的思路,展望了其发展前景。     

地铁十字换乘车站预留换乘节点的结构计算分析

十字换乘地铁车站预留换乘节点的结构受力复杂,采用有限元程序建立空间计算模型,分析预留换乘车站节点范围的梁、板、柱内力,找到应力集中部位,为设计提供理论依据,保证车站结构的安全。     

Sensorimotor self-learning model based on operant conditioning for two-wheeled robot

Traditional control methods of two-wheeled robot are usually model-based and require the robot’s precise mathematic model which is hard to get. A sensorimotor self-learning model named SMM TWR is presented in this paper to handle these problems. The model consists of seven elements: the discrete learning time set, the sensory state set, the motion set, the sensorimotor mapping, the state orientation unit, the learning mechanism and the model’s entropy. The learning mechanism for SMM TWR is designed based on the theory of operant conditioning (OC), and it adjusts the sensorimotor mapping at every learning step. This helps the robot to choose motions. The leaning direction of the mechanism is decided by the state orientation unit. Simulation results show that with the sensorimotor model designed, the robot is endowed the abilities of self-learning and self-organizing, and it can learn the skills to keep itself balance through interacting with the environment.     

Approximate method for reliability assessment of complex phased mission systems

Phased-mission systems (PMSs) have wide applications in engineering practices, such as manmade satellites. Certain critical parts in the system, such as cold standby, hot standby and functional standby, are designed in redundancy architecture to achieve high reliability performance. State-space models such as Markov process have been used extensively in previous studies for reliability evaluation of PMSs with dynamic behaviors. The most popular way to deal with the dynamic behaviors is Markov process, but it is well known that Markov process is limited to exponential distribution. In practice, however, the lifetime of most machinery products can follow non-exponential distributions like the Weibull distribution which cannot be handled by the Markov process. In order to solve this kind of problem, we present a semi-Markov model combined with an approximation algorithm to analyze PMS reliability subjected to non-exponential failures. Furthermore, the accuracy of the approximation algorithm is investigated by comparing to an accurate solution, and a typical PMS (attitude and orbit control system) is analyzed to demonstrate the implementation of the method.     

突发大规模需求下铁路军事运输保障研究

以"5·12"汶川地震为背景,分析了突发大规模需求下铁路军事运输保障的特点及要求,提出了应急铁路军事运输保障的具体对策,如建立健全铁路军事运输指挥机制、制订输送保障运行计划等,对铁路军事运输部门提高突发大规模需求情况下的运输保障能力具有借鉴意义.     

Neumann边界条件下图像复原的TSVD算法

研究了在Neumann边界条件假设下,一类具有对称点扩散函数的模糊图像复原问题,将此类问题转化为不适定的二维离散卷积问题,基于离散卷积算子的性质,提出了图像复原的TSVD算法.实验验证了算法的有效性.