钢管热处理过程的“黑匣子”动态温度测试

钢管在热处理炉内的实际升温数据是准确制定热处理工艺必需的参数。常规热处理温度测试采用如热电偶、红外温度计等,但测试结果都与实际温度存在较大偏差。“黑匣子”温度测试仪相对来说测温偏差最小。介绍了耐高温“黑匣子”测试技术在钢管连续热处理炉上的应用。通过对热处理过程的数字化,分析了“黑匣子”温度测试在热处理工艺改进和优化方面的应用情况。     

救援机器人远程监控平台的设计与实现

以救援机器人为研究背景,详细介绍了远程监控平台的设计方案和系统架构,包括硬件结构、底层软件和上层应用软件的设计和实现。该救援机器人通过便携式操控箱实现远程监控,具有人机交互友好、操作灵活、携带方便等特点。实践结果表明,该平台能很好地实现机器人远程操控和传感器信息的传输,有助于机器人在灾难环境中更好地开展探测和搜救工作。     

Proposal of a statistical test rule induction method by use of the decision table

Rough sets theory is widely used as a method for estimating and/or inducing the knowledge structure of if-then rules from various decision tables. This paper presents the results of a retest of rough set rule induction ability by the use of simulation data sets. The conventional method has two main problems: firstly the diversification of the estimated rules, and secondly the strong dependence of the estimated rules on the data set sampling from the population. We here propose a new rule induction method based on the view that the rules existing in their population cause partiality of the distribution of the decision attribute values. This partiality can be utilized to detect the rules by use of a statistical test. The proposed new method is applied to the simulation data sets. The results show the method is valid and has clear advantages, as it overcomes the above problems inherent in the conventional method.     

新疆联通移动基站电源设计

首先,介绍了直流远供技术在移动基站的应用;其次,指出了风光互补供电系统在设计中需要改进的地方;最后,介绍了高效模块混插和联合接地分配箱等新产品的应用。研究表明,在通信工程设计中,不仅需要采用相适宜的新产品、新技术,还要定期对设计的工程进行回访,结合前期工程中存在的问题,对设计进行修正补充,使其更贴近实际情况。     

一种新型的基于IPTV网络的视频会话系统

基于IPTV网络的视频会话系统具有广阔的应用前景。研究并实现了一种基于IPTV网络的具有服务质量保证的新型视频会话系统,阐述了该系统的体系架构及业务流程,提出了适用于本视频会话系统的嵌入式IP机顶盒的体系架构,并针对嵌入式系统资源受限的特点进行了性能优化设计,特别提出了一种带宽自适应的QoS机制,充分保证视频会话应用在IPTV网络多业务环境下的用户体验。     

A new algorithm for sparse interpolation of multivariate polynomials

To reconstruct a black box multivariate sparse polynomial from its floating point evaluations, the existing algorithms need to know upper bounds for both the number of terms in the polynomial and the partial degree in each of the variables. Here we present a new technique, based on Rutishauser’s qd$qd$-algorithm, in which we overcome both drawbacks.     

网关机顶盒——下一代数字家庭网关的研究

提出一种用更智能化的机顶盒来实现家庭网关的方案,降低了资源消耗并提供高质量服务.基于ARM处理器加DSP的体系架构,配置嵌入式Linux和中间件消除家庭网络设备间的差异性,设计了丰富的顶层应用软件.并命名这种具有网关功能的智能性机顶盒为网关机顶盒.     

基于GPU加速的多物体碰撞检测方法

为了在虚拟环境中更加真实地模拟现实环境中物体的运动,需要在仿真系统中加入碰撞检测模块。现有的碰撞检测算法虽然能够快速检测两个物体是否相交,但在物体数量非常多的场景中,因需要对物体两两进行判断,所以仍无法达到较高的检测速度。利用GPU并行计算的特性,在GPU上增加一个预先剔除的过程,大幅度地快速排除不相交的物体,提高了检测的速度。     

不确定噪声下基于轴对称盒空间滤波的非线性系统状态估计

针对不确定噪声下的非线性系统状态估计问题, 本文提出了一种基于轴对称盒空间滤波的状态估计方法. 首先, 利用轴对称盒空间包裹线性化过程带来的误差项, 将状态函数线性化误差轴对称盒空间与噪声轴对称盒空间求取闵可夫斯基和, 得到干扰误差轴对称盒空间; 随后, 利用状态量、线性误差和测量噪声的轴对称盒空间的闵可夫斯基和, 得到系统状态预测集; 进而, 利用轴对称盒空间边界正交的性质, 将盒空间拆分为多组超平面, 构造测量更新的约束条件并得到集员包裹. 本文所提方法相比传统的椭球滤波方法而言, 降低了算法的复杂度, 减少了包裹状态可行集和线性化过程带来的余, 获得了更加紧致精确的系统状态集. 最后, 采用非线性弹簧–质量–阻尼器系统验证了本文所提算法的有效性.     

Combustion timing control of HCCI engine based on NNPC and Elman-NN model under complex conditions

Homogeneous Charge Compression Ignition (HCCI) combines the characteristics of gasoline engine and diesel engine with high thermal efficiency and low emissions. However, since there is no direct initiator of combustion, it is difficult to control the combustion timing in HCCI engines under complex working conditions. In this paper, Neural Network Predictive Control (NNPC) for combustion timing of the HCCI engine is designed and implemented. First, the black box model based on Elman neural network is designed and developed to estimate the combustion timing. The fuel equivalence ratio, intake valve closing timing, intake manifold temperature, intake manifold gas pressure, and engine speed are chosen as the system inputs. Then, a NNPC controller is designed to control combustion timing by controlling the intake valve closing timing. Simulation results show that the Elman neural network black box model is capable of estimating the HCCI engine combustion timing. In addition, regardless of whether the HCCI engine is in constant or complex condition, the designed NNPC controller is capable of keeping the combustion timing within the ideal range. In particular, under New European Driving Cycle (NEDC) working conditions, the maximum overshoot of the controller is 28.95% and the average error is 1.03 crank angle degree. It is concluded that the controller has good adaptability and robustness.