基于加密编码矢量的农业无线传感网数据安全存储方法

无线传感网为精准农业生产环境监测提供了一种有效的解决方案。针对当前农业生产中无线传感网感知数据传输和存储过程中存在的安全性不高、存储效率不佳的问题,在研究农业无线传感网主要特征的基础上,分析了云存储技术对农业传感器感知数据存储的有效性,利用改进的网络编码技术降低了传感器感知数据在传输汇聚时对无线网有限带宽的占用率,给出了基于加密编码矢量方法的农业无线传感网感知数据传输、存取安全性和效率分析,提出了一种基于加密编码矢量的农业无线传感网感知数据信息的安全存储新方法。大田生产环境测试结果表明,基于网络编码的加密编码矢量方法安全性较高,在数据量显著增加的情况下传输性能可进一步得到提升,从而验证了本方法的合理性和实用性。     

On a novel press system with six links for precision deep drawing

The objective of this paper is to propose a novel press system with six links for precision deep drawing, and verify its feasibility. First, the system is presented and its advantages are discussed. Then, the kinematic analysis of the system is obtained by examining the geometry of the design. Moreover, kinematic dimensions of the variable coupling are found by using optimization method. Furthermore, the proposed approach is illustrated by a design example, its solid model for the proposed design is established, and then kinematic simulation is performed by ADAMS software. Finally, a prototype and an experimental setup are established, and the experiment is conducted. The results show that the proposed new mechanism is feasible and of reasonable accuracy. In addition, it has the advantages of easy manufacture, lower cost, higher precision, and easy adjustability.     

二次拟合：一种提高软件可靠性模型精度的新方法

针对软件可靠性模型精度不高的问题,提出了"一次建模 + 二次拟合"的方法,通过误差补偿机制来提高模型精度,并将该方法应用于航天软件失效数据集.实践结果表明,提出的方法对于提高软件可靠性模型精度是有效的.     

批量精确套印毕业证的简便方法

打印毕业证时,在纸上已印好一些文字,留有一些空白,需在空白处打印上有关的数据,这就是套印。套印时最头疼的事是模板制作,很难与原始纸上的文字对齐。本文将为大家详细介绍一种方便而精确的制作模板,进行邮件合并批量套印毕业证方法。     

VCR智能无扰动特性的精确数值运算

根据智能变进制(VCR)的变溢性、拓展性及申缩性有机结合的技术,提出一种新颖智能的、无数字扰动的精确数值运算.该运算结果值的精确位数.是可以任意或无限地确定的,它可以很好地解决了计算机数值分辨率即由CPU字长制约的有效数字位教不足而造成的数值精确计算PC(Precise Computing)的扰动性问题,例如对中国古代数学家祖冲之曾研究圆周密率π值实验数据(π=355/113)的除法精确计算.     

砂轮平衡精度的最小二乘测试计算法

提出一种测算砂轮不平衡精度的最小二乘新方法 ,给出基本原理和具体算法 .该方法能有效抑制测量误差的影响 ,大大提高测试精度 ;并能同时测出残余不平衡量的大小和相位 .可用于各类平衡器的精度测定     

小型多自由度机器人舵机群控制系统设计

针对小型多自由度机器人关节控制的需求,提出一种高精度多路PPM信号生成方法。具体介绍了系统的硬件电路和软件实现方法。对多路PPM信号的生成方法和数据排序算法等系统的关键部分进行了详细的阐述。测试结果表明,系统生成的24路PPM信号时间精度可达2us,精度误差小于0.2us。     

数字电位器技术在远程测控系统中的应用

本文描述了数字电位器技术在远程测控系统中的高精度调节应用。为满足海洋工程水池造波机远程测控系统通过PLC对现场造波机的高精度调节控制。在测控系统研制中,采用数字电位器技术研发了数字电位器智能模块通过RS232(或RS485)与PLC通讯连接实现对数字电位器高精度调节,从而实施对通过PLC的D/A输出造波波形控制的幅值调制。     

孔板流量计的误差分析及修正

孔板流量计是一种广泛应用于化学工业的流量测量仪表。它在安装、使用和维护等方面存在很多的不足,从而容易产生流量测量的误差。通过对孔板流量计的研究,得出引起流量测量误差的各种原因及相关消除方法;并通过补偿和技术改造等措施对测量误差进行了修正,从而保证了流量测量的准确性和实效性。这对于孔板流量计的准确计量具有一定的指导作用。     

Application of VPRS model with enhanced threshold parameter selection mechanism to automatic stock market forecasting and portfolio selection

This study proposes a technique based upon Fuzzy C-Means (FCM) classification theory and related fuzzy theories for choosing an appropriate value of the Variable Precision Rough Set (VPRS) threshold parameter (β) when applied to the classification of continuous information systems. The VPRS model is then combined with a moving Average Autoregressive Exogenous (ARX) prediction model and Grey Systems theory to create an automatic stock market forecasting and portfolio selection mechanism. In the proposed mechanism, financial data are collected automatically every quarter and are input to an ARX prediction model to forecast the future trends of the collected data over the next quarter or half-year period. The forecast data are then reduced using a GM(1, N) model, classified using a FCM clustering algorithm, and then supplied to a VPRS classification module which selects appropriate investment stocks in accordance with a pre-determined set of decision-making rules. Finally, a grey relational analysis technique is employed to weight the selected stocks in such a way as to maximize the rate of return of the stock portfolio. The validity of the proposed approach is demonstrated using electronic stock data extracted from the financial database maintained by the Taiwan Economic Journal (TEJ). The portfolio results obtained using the proposed hybrid model are compared with those obtained using a Rough Set (RS) selection model. The effects of the number of attributes of the RS lower approximation set and VPRS β-lower approximation set on the classification are systematically examined and compared. Overall, the results show that the proposed stock forecasting and stock selection mechanism not only yields a greater number of selected stocks in the β-lower approximation set than in the RS approximation set, but also yields a greater rate of return.