基于串口通信的DSP应用程序在线升级方法

为解决特殊场合DSP程序升级困难的问题,以TMS320F28035为例,介绍了一种基于串口通信的适合于TMS320C2000系列DSP实现程序更新的在线升级方法。描述了该在线升级方法的基本思想和实现步骤,给出了关键部分的程序代码。实验证明,该方法简单可靠,可用于嵌入式设备软件程序的升级更新中。     

蓄电池恒流放电容量监测仪的电路设计

蓄电池恒流放电容量监测仪以单片机为核心,以PTC热敏电阻为放电负载;采用PWM技术控制电流恒定,实时监测放电电池的电流电压;采用大电流恒流放电方法,对蓄电池进行活化处理延长寿命。由ATmega128单片机、电源、存储器及时间芯片组成基础电路,由触摸屏、LCD显示模块、数据采集电路、PWM信号驱动电路组成显控驱动电路,监测仪则由二者共同构成。介绍了硬件构成与电路设计的思路。     

基于组态王的温度与氧含量在线监测系统设计

介绍了回转窑各区域温度与其尾气中氧含量的数据采集和在线监测系统的集成。给出了监测系统的方案设计、硬件架构以及组态王监测软件的实现方案,并对其中的技术难点（如：定义组态王串口设备方法、定义组态王DDE设备方法）做了较为详细的阐述。实际应用情况表明,系统稳定,达到了使用要求。     

基于飞参数据的某型航空发动机DEGT估算方法

提出一种适用于某型军用航空发动机视情维修的DEGT估算方法,使用飞参中记录的低压转子转速和高压转子转速反映航空发动机工况,分别建立了发动机巡航状态和加力状态DEGT估算模型,使DEGT估算可以在每次飞行后进行.对一组实际飞行数据的实验分析表明:该方法得出的DEGT与发动机实际性能退化情况相吻合,能够较好地反映航空发动机的状态,可以应用于军用航空发动机状态监控.     

Partition-Based Online Aggregation with Shared Sampling in the Cloud

Online aggregation is an attractive sampling-based technology to response aggregation queries by an estimate to the final result, with the confidence interval becoming tighter over time. It has been built into a MapReduce-based cloud system for big data analytics, which allows users to monitor the query progress, and save money by killing the computation early once sufficient accuracy has been obtained. However, there are several limitations that restrict the performance of online aggregation generated from the gap between the current mechanism of MapHeduce paradigm and the requirements of online aggregation, such as： 1） the low sampling efficiency due to the lack of consideration of skewed data distribution for online aggregation in MapReduce, and 2） the large redundant I/O cost of online aggregation caused by the independent job execution mechanism of MapReduce. In this paper, we present OLACloud, a MapReduce-based cloud system to well support online aggregation for different data distributions and large-scale concurrent query processing. We propose a content-aware repartition method with a fair-allocation block placement strategy to increase the sampling efficiency and guarantee the storage and computation load balancing simultaneously. We also develop a shared sampling method to share the sampling opportunities among multiple queries to reduce redundant I/O cost. We also implement OLACloud in Hadoop, and conduct an extensive experimental study on the TPC-H benchmark for skewed data distribution. Our results demonstrate the efficiency and effectiveness of OLACloud.     

Adaptive stiffness estimation for compliant robotic manipulation using stochastic disturbance models

To achieve haptic telepresence and proper contact behaviour, the control action of a robotic manipulator must be designed with respect to contact parameters. Unfortunately, it is hard to know these parameters exactly in unknown or partly known environments. In this case, contact instability and poor dynamic accuracy can arise due to the presence of modelling errors in the control design. To overcome these problems, online estimation of the relevant contact parameters can be performed, with corresponding adaptation of control laws. This article presents an algorithm for online stiffness estimation for compliant robotic manipulation based on the extended state-space representation of the system and force signals. No position or velocity measurements are required. The algorithm, supported by theoretical analysis, uses offline data concerning several stiffness mismatch scenarios and, through a least square error analysis, computes an estimate of the stiffness value. Simulation results are presented, with fast and accurate estimation even in the presence of noise, highlighting the merits of the method.     

Online scheduling on batching machines to minimise the total weighted completion time of jobs with precedence constraints and identical processing times

This article studies online scheduling of equal length jobs with precedence constraints on m parallel batching machines. The jobs arrive over time. The objective is to minimise the total weighted completion time of jobs. Denote the size of each batch by b with b?=?∞ in the unbounded batching and b? m , where ρ _m is the positive solution of ρ ^m+1???ρ?=?1. The algorithm is also best possible when the jobs have identical weights. For the bounded batching version with identical weights of jobs, we provide an online algorithm with a competitive ratio of 2.     

基于置信度理论的网络知识融合系统和应用

由于网络知识资源的异构性,知识融合系统需要对多源数据、信息进行集成与整合并消除歧义.在知识融合过程中,由于知识科学的复杂性和模糊性,需要对多源知识的不一致、不完整等不确定性问题进行处理.基于此,提出了一种基于置信度理论的网络知识融合系统模型,弥补了传统知识融合系统在不确定性处理上的不足,并使用反馈自适应机制自动校正置信...     

多核平台上程序在线评测辅助教学系统

选用LAMP作为开发环境,进行了程序设计在线评测辅助教学系统的设计与开发。着重论述了基于多核平台上的多线程或多进程在线评测系统的设计与实现,与单核系统相比,解决了单线程或单进程评测效率低的问题。经过与单核串行评测系统比较得出,多核系统评测速度显著提高,评测结果和串行评测所得一致,准确率高。     

合成氨调优在线指导系统

基于Internet/Intranet的远程监控模式越来越受到人们的关注,然而工业控制的远程化也使原有的网络技术面临种种挑战,时延的不确定性就是其中最为典型的问题.由于这些问题的存在,使得实时性要求高的工业控制企业真正走向Internet远程控制还有很多问题.实时性要求高的企业往往流程复杂,工艺相关性大,对专家在线指导...