基于效用函数的通信对抗作战能力评估

通信对抗作战能力评估是解决装备实力比较和兵力规划等问题的前提和基础,如何有效描述通信对抗作战能力,是评估问题的关键所在。根据通信对抗作战能力指标不可公度性的特点,利用效用函数对指标进行描述;并通过对聚合模型的讨论,建立评估模型;最后通过实例验证了利用效用函数法进行通信对抗作战能力评估的可行性和合理性。     

基于物联网的蔬菜可追溯系统的设计与实现

为提高蔬菜追溯效率、降低蔬菜跟踪、监控成本,通过对蔬菜生产企业进行实际调研,对现有蔬菜生产、定位、跟踪、监控、销售等全过程进行了分析,给出了一种基于RFID和Internet技术的蔬菜可追溯系统的物联网设计方案.重点分析了该物联网中的RFID系统、中间件和手机或无线PDA等应用部件,最后分析了该网络在Internet基...     

Surface shape control of the workpiece in a double-spindle triple-workstation wafer grinder

Double-spindle triple-workstation(DSTW) ultra precision grinders are mainly used in production lines for manufacturing and back thinning large diameter(≥300 mm) silicon wafers for integrated circuits.It is important, but insufficiently studied,to control the wafer shape ground on a DSTW grinder by adjusting the inclination angles of the spindles and work tables.In this paper,the requirements of the inclination angle adjustment of the grinding spindles and work tables in DSTW wafer grinders are analyzed.A reasonable configuration of the grinding spindles and work tables in DSTW wafer grinders are proposed.Based on the proposed configuration,an adjustment method of the inclination angle of grinding spindles and work tables for DSTW wafer grinders is put forward. The mathematical models of wafer shape with the adjustment amount of inclination angles for both fine and rough grinding spindles are derived.The proposed grinder configuration and adjustment method will provide helpful instruction for DSTW wafer grinder design.     

清洗液温度及浓度对硅研磨片清洗效果的影响

超声波清洗在硅片生产中具有广泛的应用,影响超声波清洗效果的因素有很多,如清洗液温度、清洗液浓度等。为了研究清洗温度和清洗液浓度对硅研磨片清洗效果的影响,在实验中通过改变清洗液温度及清洗液的浓度,最后观察硅片表面洁净情况。得出清洗液温度和清洗液浓度不是越高越好,在某一具体工艺下,都存在一个适宜范围,在适宜范围内,硅片的清...     

硅芯硅棒自动清洗设备的研制

通过分析硅芯硅棒清洗方式的现状,提出其自动清洗设备研制的必要,介绍了全自动硅芯硅棒清洗机的技术参数和工艺流程,详细分析了设备的结构设计,包括工艺清洗系统、传动系统、电气控制系统、排风系统、管路系统和设备主体等。     

自旋尾翼弹头的双基地微多普勒研究

微动特征是弹道中段目标雷达识别的有效特征之一。针对基于自旋尾翼弹头的双基地微多普勒的自旋和结构参数估计问题,该文首先建立了自旋尾翼弹头双基地散射中心的微多普勒模型,然后利用FEKO计算了尾翼弹头的双基地散射系数,通过对散射系数序列的时频分析,验证了模型的正确性,同时总结了自旋尾翼弹头的双基地微多普勒特性,再分析了估计自旋和结构参数的可行性,最后,由于闪烁效应导致Hough变换已不能有效估计参数,该文提出了利用闪烁效应估计参数的新思路。     

基于低速面阵CCD的正弦相位调制干涉测量

正弦相位调制(SPM)干涉测量技术用于表面形貌测量时,需要帧速高于300 frame/s的图像传感器,同时要求调制信号频率与图像传感器帧速成确定的整数倍关系。提出一种基于低速CCD(30 frame/s)的帧速可调的高速图像传感技术,通过控制每帧像素总数提高CCD帧速,研制出一种高帧速图像传感器,帧速可达300~1600 frame/s,且每帧大小连续可调。将该CCD传感器用于正弦相位调制干涉泰曼-格林干涉仪,测量镀膜玻璃板表面形貌,当CCD图像传感器的帧速与调制信号频率呈16,8,4倍的关系时,得到玻璃板表面形貌的轮廓平均算术偏差Ra小于1.8 nm,重复精度优于3 nm。     

Scalable Gaussian Normal Basis Multipliers over GF(2<Superscript><Emphasis Type=Italic>m</Emphasis></Superscript>) Using Hankel Matrix-Vector Representation

This work presents a novel scalable multiplication algorithm for a type-t Gaussian normal basis (GNB) of GF(2^m). Utilizing the basic characteristics of MSD-first and LSD-first schemes with d-bit digit size, the GNB multiplication can be decomposed into n(n + 1) Hankel matrix-vector multiplications. where n = (mt + 1)/d. The proposed scalable architectures for computing GNB multiplication comprise of one d × d Hankel multiplier, four registers and one final reduction polynomial circuit. Using the relationship of the basis conversion from the GNB to the normal basis, we also present the modified scalable multiplier which requires only nk Hankel multiplications, where k = mt/2d if m is even or k = (mt − t + 2)/2d if m is odd. The developed scalable multipliers have the feature of scalability. It is shown that, as the selected digit size d ≥ 8, the proposed scalable architectures have significantly lower time-area complexity than existing digit-serial multipliers. Moreover, the proposed architectures have the features of regularity, modularity, and local interconnection ability. Accordingly, they are well suited for VLSI implementation.     

Least squares estimation for a class of non-uniformly sampled systems based on the hierarchical identification principle

This paper presents a novel hierarchical least squares algorithm for a class of non-uniformly sampled systems. Based on the hierarchical identification principle, the identification model with a high dimensional parameter vector is decomposed into a group of submodels with lower dimensional parameter vectors. By using the least squares method to identify the submodels and taking a coordinated measure to address the associated items between the submodels, all the system parameters can be estimated. The proposed algorithm can save the computation cost. The performance analysis indicates that parameter estimates converge to their true values. The simulation tests confirm the convergence results.     

Spin effects in magnetoresistance induced in an <Emphasis Type="Italic">n</Emphasis>-In<Subscript>x</Subscript>Ga<Subscript>1−<Emphasis Type="Italic">x</Emphasis></Subscript>As/GaAs double quantum well by a parallel magnetic field

Magnetoresistance in n-In_xGa_1?xAs/GaAs (x ≈ 0.18) heterostructures with double quantum wells (DQWs) was studied in the magnetic field parallel to the DQW layer. Specific features of the magnetoresistance, related to the passing of the tunnel gap edges across the Fermi level, are revealed and studied. Agreement between the calculated and experimental positions of the observed features is obtained when the spin splitting of the energy spectrum is taken into account. Earlier, similar features were observed in the magnetoresistance of n-GaAs/Al_xGa_1?xAs DQW heterostructures, but the spin effects did not manifest themselves.