新经济条件下一种新的竞争方式--速度竞争

从界定对新经济条件下速度竞争的定义入手,分析了速度竞争的必然性。并从企业生产作业管理的角度和企业整体的战略角度提出了在速度制胜时代企业的对策。     

铝高速工具钢中夹杂物的研究

利用金属块样,电解萃取夹杂样,通过定量金相,扫描电镜及化学分析方法对比了M2A1和M2高速工具钢中夹杂物形态、数量、大小及分布。结果表明M2A1中由于铝的加入,使夹杂物的数量、大小及分布不均匀性都有明显的增加,夹杂物的增加主要是由铝的氧化物及其复合物的增加所致。     

小波分析法在变速机械故障诊断中的应用

首先利用小波分析将非平稳随机信号进行分解，然后再由Ｆｏｕｒｉｅｒ变换对分解后的信号进行频谱分析，最终根据各频谱特征，实现对变速机械的故障诊断．以某冷轧厂新增３５００ｔ／ｈ大型冷却塔用变速及冷却系统的故障诊断为例，验证了本文提出的用小波分析对变速系统进行故障诊断的有效性     

Extreme-value analysis of canadian wind speeds

Estimates of extreme winds are essential for engineering design, but in preparing such estimates major statistical issues are encountered. In this case study, the analysts were provided with hourly readings on wind speed, wind direction, and barometric pressure at five Canadian stations for observation periods ranging over several recent decades. Their assignment was to calculate point and interval estimates of 10-, 20-, 50-, and 100-year return values (i.e., upper fractiles) for the wind speeds at these stations.     

FP中并行粒度的研究

并行粒度是并行处理系统的关键问题之一。本文引入启发函数(Heuristic Function,简称HF)和加速因子的概念,并用一阶启发函数HF对FP中并行成分进行检测,以便得到一个较合适的并行粒度。     

3mm波脉冲雷达MTD的高速实时处理

用专用ＤＳＰ芯片ＴＭＣ２３１０以及通用ＤＳＰ芯片ＴＭＳ３２０Ｃ３０和ＴＭＳ３２０Ｃ２５实现了３ｍｍ波脉冲雷达ＭＴＤ的实时处理。该系统既有高的处理速度、高的距分辨率和高的谱分辨率，又有其灵活的编程控制方式，满足了毫米波脉冲雷达对信号处理的高性能要求，有广泛的实用价值。     

《离骚》的速度感

屈原《离骚》中的“行进者”形象和其行进中的“速度感”既是屈原生命观的体现,也是其审美意识的体现。诗人用现实形态和神话形态表现出的“行进”过程,再现了他的心路历程。在行进速度上,有着“两快一慢”的特征。“快“与“慢”的区别,真实体现出主人公思想深处情感的变化,这种节奏上的跌宕变化,极大地增添了全诗的艺术效果和悲剧气氛。     

基于LabVIEW仿真设计汽车制动速度控制系统

汽车制动过程速度控制是安全设计中的关键问题.在深入研究制动过程动力学模型基础上,充分发挥LabVIEW灵活、开放、形象、直观、易操作等特点,设计了一套汽车制动器速度控制仿真系统,为汽车制动器速度控制提供了一条新的途径.     

提高400m跑成绩的重要因素——速度耐力

提高短跑运动员的成绩,从训练的指导思想而言,一是速度能力,二是发展速度耐力.400m作为短跑项目,除了积极发辉他们的速度之外,还须重视速度耐力的训练.依据运动生理学研究成果及实践经验,阐述决定400m成绩的重要因素——速度耐力.     

Forecasting Multivariate Road Traffic Flows Using Bayesian Dynamic Graphical Models,Splines and Other Traffic Variables

Traffic flow data are routinely collected for many networks worldwide. These invariably large data sets can be used as part of a traffic management system, for which good traffic flow forecasting models are crucial. The linear multiregression dynamic model (LMDM) has been shown to be promising for forecasting flows, accommodating multivariate flow time series, while being a computationally simple model to use. While statistical flow forecasting models usually base their forecasts on flow data alone, data for other traffic variables are also routinely collected. This paper shows how cubic splines can be used to incorporate extra variables into the LMDM in order to enhance flow forecasts. Cubic splines are also introduced into the LMDM to parsimoniously accommodate the daily cycle exhibited by traffic flows. The proposed methodology allows the LMDM to provide more accurate forecasts when forecasting flows in a real high‐dimensional traffic data set. The resulting extended LMDM can deal with some important traffic modelling issues not usually considered in flow forecasting models. Additionally, the model can be implemented in a real‐time environment, a crucial requirement for traffic management systems designed to support decisions and actions to alleviate congestion and keep traffic flowing.