ESⅡ假人腹部力和车门内饰造型研究

文中对ESⅡ假人腹部力和其影响因素进行研究，根据仿真分析和实车试验数据分析，研究降低腹部力的改进方案，并进行实车验证。为避免给后期匹配侧气囊带来困难，提出在内饰造型阶段，对车门内饰板造型进行校核和控制，建议有利于降低侧碰假人伤害的造型，使在不匹配侧气囊的情况下，假人伤害值最小。     

Assessing the performance of SpeedInfo radar traffic sensors

Traffic speed is a crucial input for real-time traffic management applications. Operating agencies typically deploy their own sensors to collect the measurements, e.g., loop detectors. Recently, SpeedInfo emerged with a different paradigm for traffic speed collection: instead of selling hardware to operating agencies, at each link the company deploys its own Doppler radar in a self-contained wireless unit to measure traffic speeds and then sells the speed data. This study uses well-tuned loop detector-based speed measurements to evaluate 15 of the Doppler radar sensors over several months while the two traffic data collection systems were operating concurrently. The extended study period includes potentially challenging and transient conditions for the radar sensors: both recurrent (rush hour congestion and late night low flow) and nonrecurrent (incidents and precipitation). The analysis took a broad overview, comparing speed measurements from the radar sensors against the concurrent loop detector data and then explicitly looked for any anomalous pattern in the radar data such as latency and system outages. The work found the radar measurements are generally good, but also identified several points that should be considered before deployment, including latency, different biases in free flow and congestion, vulnerability to precipitation, and sensitivity to mounting angle.     

基于RFID技术的铁路物流信息化

详细地介绍了无线射频识别技术(RFID)在铁路运输中的应用,阐述了基于RFID技术的铁路物流信息网络设计,并分析了其关键因素,提出了政策建议.     

全国主要煤炭基地煤炭运输铁路水路分工研究

研究目的:随着南北铁路通道的畅通,北方至华东、华南间的煤炭到底是经铁路水路联运,还是经铁路直达运输,对铁路货运量的预测至关重要.通过本研究,拟找到2种运输方式承担煤炭运输的合理范围和分工.研究结论:在六大煤炭主要输出基地中,神东、晋北和陕北基地至中南、华东沿海地区煤炭运输通过铁路水路联运比较经济,晋东和黄陇基地至中南、华东地区煤炭运输通过铁路直达比较经济,晋中基地除福州-汕头区间沿海各市煤炭应采用铁路水路联运方式外,其余地区应采用铁路直达的运输方式.     

Workspace analysis to generate a collision-free torch path for a ship welding robot

We propose a method to determine the optimal initial location and to generate torch paths for a ship welding robot with 6 degrees of freedom (DOF). The optimal initial location is determined using an objective function, which is set up by combining constraints on the torch posture, manipulability, and the range of each joint angle to avoid collisions. A genetic algorithm (GA) is used to optimize the objective function because it does not require additional derivatives. After the initial location is determined, torch paths are generated by interpolating the starting point, endpoints and torch postures using inverse kinematics. Our method can be applied to automate the welding job for each block during ship building, irrespective of the shape of the robots, by changing the objective function.     

借“机”蓄力 弯道超车

连云港港在巩固已有优势货种的基础上,加大对上下游市场的开发力度,确保货源。同时利用"新亚欧大陆桥"资源发展陆桥经济,对接海外市场。整合物流资源,延伸服务链条,加速区域物流中心和钢铁石化基地的建设进程。     

基于随机Petri网的指挥流程性能指标分析

Petri网是一种很有效的模型描述语言,适用于描述含有并行成分的系统。文章运用随机Petri网同构马尔可夫链的原理,对海上编队作战准备阶段的指挥流程性能指标进行分析。     

基于物流网络理念的铁路货运站整合

运用物流网络理念,以加速铁路货运站网络化和货运业务物流化为目标,分析了铁路货运站整合的必要性,提出了铁路货运站整合的原则、内容与模式.     

Development of a low-noise cooling fan for an alternator using numerical and doe methods

An alternator, which converts mechanical rotational energy into electrical energy, is an important component of a vehicle. Alternators operate over a broad range of rotational speeds, typically from 3,000 RPM to 18,000 RPM, which demands a cooling fan producing sufficient airflow, ideally with a minimum of noise. In the current study, an optimized alternator-cooling fan was developed through a linked DOE(Design OF Experiment) process and numerical analysis. The SC/Tetra and FlowNoise S/W programs were used to calculate flow rates and noise levels, respectively, for the newly developed fan. Compared with original model, the numerical results predicted a 3 dBA noise reduction; the measured reduction was 4 dBA.     

Development of a navigation algorithm with dead reckoning for unmanned ground vehicles

A navigation algorithm is indispensable for Unmanned Ground Vehicles (UGVs). During driving, UGVs follow a global path. In this study, we propose a navigation algorithm using Real Time Kinematic (RTK)-Differential Global Positioning System (DGPS) units and encoders to complement global path planning. Sometimes GPS systems lose their signals and receive inaccurate position data due to many factors, such as edifice and barrier obstructions. This paper shows that GPS deviations can be solved using a Dead Reckoning (DR) navigation method with encoders and that position errors can be decreased through the use of RTK-DGPS units. In addition to this method, we will introduce a new waypoint update algorithm and a steering algorithm using RTK-DGPS units.