一种基于串口通讯的大文件传输方法

目前计算机之间串行通讯非常普遍，针对串口通讯的通讯协议有很多，但针对串口通讯传输较大文件的协议目前并没有一种较好的标准．本文针对这方面的不足．介绍一种基于串口通讯的大文件传输方法。     

基于PWM分解的三电平逆变器SVPWM的DSP实现方法

三电平技术在电力输电及中高压变频场合有着广泛的应用前景。文中讨论了三电平逆变器的空间矢量控制技术和基于中点电流方向的中点电压平衡方法，根据矢量控制与载波技术的内在联系，提出了矢量控制的分解方法。利用面向控制的DSP芯片(TMS320LF2407A)内部集成的2组三相两电平载波PWM单元，实现了三电平的矢量控制技术。该方法充分利用DSP的内部资源，以单片DSP实现三电平电路的矢量控制，大大降低了控制电路硬件的复杂性，提高了系统的可靠性。实验证实所提出的方案切实可行、效果显著。     

DSP空间矢量控制三电平逆变器的研究

介绍了三电平PWM逆变器的研究前景和三电平空间矢量控制的原理，提出了一种基于检测直流侧电容电压和中点电流方向的新型平衡中点电位的空间矢量调制方法，讨论了这种方法的平衡中点电位的原理、脉冲序列的安排和该方法中小脉冲的处理和死区处理等。给出了用DSPLF2407A实现这种矢量控制方法的流程图，讨论了DSP实现中的一些问题。最后建立了三电平逆变器实验模型，实验结果验证了中点电位平衡方法的有效性和用DSP实现SVPWM的方便性。     

教室照明设计的几个问题

本文针对我国中小学学生视力低下率的状况,分析产生的原因,提出对建筑照明设计标准的建议及设计人员在中小学教室照明设计时需要注意的问题.     

松动碰摩转子轴承系统周期运动稳定性研究

根据松动碰摩耦合故障转子轴承系统的非线性动力学方程，利用求解非线性非自治系统周期解的延拓打靶方法，对系统周期运动的稳定性及其失稳规律进行了研究，得到了系统在不平衡量-转速、碰摩间隙-转速等参数域内的分岔集。分析表明：在较大和较小的不平衡量下，系统的周期运动分别以Hopf分岔形式和倍周期分岔形式失稳；耦合故障转子轴承系统表现出与碰摩转子轴承系统相似的分岔失稳规律；随着系统动静件之间的碰摩间隙减小，系统的Hopf分岔集区间变大而且失稳转速降低。该结论可以为转子系统的故障诊断、安全稳定运行及振动控制提供理论依据。     

高转速下薄壁转子不平衡质量计算

研究了高速旋转薄壁转子的不平衡质量的变化规律.将转子分成若干段,每个薄壁圆环按曲梁计算,进而提出一种由静止状态下不平衡质量推测高转速下不平衡质量的方法.此项研究对于高速运转薄壁转子的强迫振动研究具有重要意义,对确定静止状态下转子不平衡质量范围也有指导作用.     

用于某导弹装备的一种系统

本系统用于对某导弹发射车的几个关键技术指标进行自动检测,它具有性能检测、故障诊断、系统自检、安全保护、声光报警和显示打印等多种功能.本文详细介绍了该系统的结构组成、工作原理、硬件和软件设计等内容.     

采用图像格式的IDE硬盘直写记录

介绍一种采用IDE硬盘的高速图像记录系统的设计方法。该方法去掉了大量的软件编程代 之以硬盘直写图像文件的模式,将图像数据记录到硬盘的同时直接以文件形式存放。实验效果表明,采用该设计方法的记录设备做到了记录完全脱机,事后将硬盘通过USB接口直接与计算机相连,即可对图像进行访问,达到了预期的目的。     

Super‐resolution of the undersampled and subpixel shifted image sequence by a neural network

Numerous approaches to super‐resolution (SR) of sequentially observed images (image sequence) of low resolution (LR) have been presented in the past two decades. However, neural network methods are almost ignored for solving SR problems. This is because the SR problem traditionally has been regarded as the optimization of an ill‐posed large set of linear equations. A designed neural network based on this has a large number of neurons, thereby requiring a long learning time. Also, the deduced cost function is overly complex. These defects limit applications of a neural network to an SR problem. We think that the underlying meaning of the SR problem should refer to super‐resolving an imaging system by image sequence observation, instead of merely improving the image sequence itself. SR can be regarded as a pattern mapping from LR to SR images. The parameters of the pattern mapping can be learned from the imaging process of the image sequence. This article presents a neural network for SR based on learning from the imaging process of the image sequence. In order to speed up the convergence, we employ vector mapping to train the neural network. A mapping vector is composed of some neighbor subpixels. Such a well‐trained neural network has powerful generalization ability so that it can be used directly to estimate the SR image of the other image sequences without learning again. Our simulations show the effectiveness of the proposed neural network. © 2004 Wiley Periodicals, Inc. Int J Imaging Syst Technol 14, 8–15, 2004; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ima.20001     

Applying grey forecasting to predicting the operating energy performance of air cooled water chillers

Grey forecasting has found applications in finance, social science, economics, etc. However, its applications in air conditioning and refrigeration have not been reported. This paper reports on a study where grey forecasting method is applied to predicting the operating energy performance for an air cooled water chiller (ACWC) units, so as to demonstrate this forecasting approach can be applied to building Heating Ventilation and Air Conditioning (HVAC) installations. In this paper, a brief introduction of the background and fundamentals of grey forecasting is firstly presented. This is followed by reporting the application of grey forecasting to an ACWC unit installed in Northern China for predicting its operating energy performance using the variation ratio of coefficient of performance (ΔCOP). The predicted values of ΔCOP agreed well with the measured ΔCOP, demonstrating that grey forecasting may be used for predicting the operating energy performance of an ACWC unit with a high accuracy. Finally, the potential use of grey forecasting in fault detection and diagnostics (FDD) or energy management systems (EMSs) for air conditioning and refrigeration systems is assessed, and the comparison with the prediction method based on artificial neural network (ANN) discussed.