碳酸化分解工艺的改进与实践

本文针对烧结法生产氧化铝过程中,铝酸钠溶液的碳酸化分解工艺,由间断分解到连续分解的改进进行了论述,指出连续分解是碳酸化分解的发展方向。     

初至波走时层析成像中的正则化方法

 波场的等效性、观测数据的有限性和观测误差等因素导致地球物理反演本身具有严重的多解性，降低这种多解性的一种重要途径就是对反演过程进行约束。传统的初至波走时层析成像方法，通常是在外部对模型空间施加显式的约束和平滑处理，这样就会破坏模型参数与传播算子之间的相关性，难以达到有效利用先验信息的目的, 甚至会影响反演的稳定性。针对这一问题，本文将先验信息分为三类，在此基础上阐述了通过正则化手段将各种先验信息纳入到反演方程当中，替代传统的外部约束模式。理论试验结果表明，正则化方法比外部约束方法有效地提高了反演的精度和分辨率；将该正则化方法应用于实际二维资料处理，也得到了比较好的反演结果。     

A robust watermarking algorithm based on QR factorization and DCT using quantization index modulation technique

We propose a robust digital watermarking algorithm for copyright protection.A stable feature is obtained by utilizing QR factorization and discrete cosine transform(DCT) techniques,and a meaningful watermark image is embedded into an image by modifying the stable feature with a quantization index modulation(QIM) method.The combination of QR factorization,DCT,and QIM techniques guarantees the robustness of the algorithm.Furthermore,an embedding location selection method is exploited to select blocks with small modifications as the embedding locations.This can minimize the embedding distortion and greatly improve the imperceptibility of our scheme.Several standard images were tested and the experimental results were compared with those of other published schemes.The results demonstrate that our proposed scheme can achieve not only better imperceptibility,but also stronger robustness against common signal processing operations and lossy compressions,such as filtering,noise addition,scaling,sharpening,rotation,cropping,and JPEG/JPEG2000 compression.     

基于IOS平台的小型仓储管理系统设计

随着数字化、信息化技术在物流领域应用的飞速发展,各种各样的仓储管理系统日益受到关注。本文介绍的基于IOS平台的小型仓储管理系统是利用IOS设备对货物信息进行采集,通过SQLite数据库技术、ZXing库等软硬件方式构建的业务系统,可以较好地适应中小规模用户数据交互的需求。同时,系统具备造价低廉、操作便捷等优点。     

Adaptive block size for dense QR factorization in hybrid CPU–GPU systems via statistical modeling

QR factorization is a computational kernel of scientific computing. How can the latest computer be used to accelerate this task? We investigate this topic by proposing a dense QR factorization algorithm with adaptive block sizes on a hybrid system that contains a central processing unit (CPU) and a graphic processing unit (GPU). To maximize the use of CPU and GPU, we develop an adaptive scheme that chooses block size at each iteration. The decision is based on statistical surrogate models of performance and an online monitor, which avoids unexpected occasional performance drops. We modify the highly optimized CPU–GPU based QR factorization in MAGMA to implement the proposed schemes. Numerical results suggest that our approaches are efficient and can lead to near-optimal block sizes. The proposed algorithm can be extended to other one-sided factorizations, such as LU and Cholesky factorizations.     

实行(列)对称矩阵的QR分解

提出了行(列)倒置矩阵与行(列)对称矩阵的概念,研究了它们的性质,获得了一些新的结果,给出了实行(列)对称矩阵的QR分解的公式,它们可极大地减少行(列)对称矩阵的QR分解的计算量与存储量,而且不会降低数值精度.     

主动式二维码考勤系统研究

提出了一种新型主动式考勤方式,并给出了一种结合二维码的应用方式.该方法大大节省了硬件支出成本,同时加快了考勤速度.综述了现阶段其他研究成果,并研究了主动式二维码考勤和被动式二维码考勤的区别.     

一种基于Matrix的QR分解向量化方法

提出一种基于Matrix的Givens旋转的QR分解向量化方法。针对Matrix的体系结构特点,对向量数据访存和计算进行优化,使计算均衡分布到各个向量处理单元;设计双缓冲DMA的数据传输策略,使得内核的计算与DMA数据搬移的时间完全重迭,内核始终处于峰值计算,从而取得最佳的计算效率。实验结果表明,该方法能够取得较高的计算效率和性能加速比。     

Complex radial basis function networks trained by QR‐decomposition recursive least square algorithms applied in behavioral modeling of nonlinear power amplifiers

In this article, we propose a novel complex radial basis function network approach for dynamic behavioral modeling of nonlinear power amplifier with memory in 3 G systems. The proposed approach utilizes the complex QR‐decomposition based recursive least squares (QRD‐RLS) algorithm, which is implemented using the complex Givens rotations, to update the weighting matrix of the complex radial basis function (RBF) network. Comparisons with standard least squares algorithms, in batch and recursive process, the QRD‐RLS algorithm has the characteristics of good numerical robustness and regular structure, and can significantly improve the complex RBF network modeling accuracy. In this approach, only the signal's complex envelope is used for the model training and validation. The model has been validated using ADS simulated and real measured data. Finally, parallel implementation of the resulting method is briefly discussed. © 2009 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2009.     

一种高效的QMC检测算法

基于垂直分层空时码的MIMO-OFDM系统提出一种高效的QMC检测算法,该算法对信道矩阵进行一次排序QR分解,对最先检测的信号层采用ML-OSIC算法,用M算法检测中间的信号层,逐层增加保留值M以提高算法有效性,利用串行干扰消除检测余下的信号层。与QRD-M算法相比,QMC检测算法能降低计算复杂度。仿真结果表明,该算法以更低的计算复杂度获得更接近最大似然检测的性能,取得性能与复杂度之间的折中更理想。