NoC边界扫描测试系统硬件设计

为了解决内部结构日益复杂的片上网络系统故障测试的问题,在研究3×3 2D-Mesh体系结构的NoC系统、边界扫描测试技术和资源节点故障类型的基础上,以FPGA为核心器件设计边界扫描测试系统。完成了数据采集、频率计、放大器、SRAM、IEEE1500 Wrapper等资源节点电路以及资源节点边界扫描链路的接口电路设计,并利用测试软件、信号发生器、万用表和数字示波器,通过边界扫描链路完成对整个硬件设计的测试。测试结果表明该设计性能稳定,为研究NoC系统的边界扫描测试技术提供了硬件平台。     

基于GPU通用计算平台的乐谱自动识别系统设计

在GPU通用计算平台上实现了一个钢琴独奏乐曲的乐谱识别系统,它读取WAV格式音频文件,利用GPU通用计算技术加速自相关函数算法来实现音高的识别,并综合考虑短时能量和基音周期的变化进行节拍划分。通过实际测试,验证了该乐谱识别系统的准确性,并证明了GPU并行计算对系统计算效率提升的效果：将计算时间减少到传统CPU计算时间的16%左右。     

GSP 插入LCOS 的可行性探讨

硅基液晶(LCOS)是最适合用于全息视频显示的空间光调制器之一,但是受限于小衍射角和低分辨率的特性,当前市场上的LCOS并不完全适用。近年来出现的超常表面(例如,间隙表面等离子体激元)具有独特的特性,提供了一种新的对光传播进行控制的方法。文中采用数值方法研究了在LCOS中插入超常表面结构,旨在解决小衍射角和低分辨率的问题。为了实用化,使用铝作为金属层、三氧化二铝层作为电介质层,生成GSP结构。首先,研究了铝在可见光频率的光学特性以及相应的法布里珀罗共振子模型。然后将初始GSP结构插入到LCOS中,得到液晶中的电场分布,进一步观察液晶中指向矢分布的变化。数值模拟的结果表明,所提出的结构对远场衍射光具有一定的影响,并且全息显示的视场角也发生一些改变。因此,这里提出的在LCOS装置中插入GSP的方案在技术上是可行的。     

TD-LTE网络基于AoA+TA功能的接入控制应用

本文论述了在TD-LTE网络中遇见的新问题,即边境优化问题。中国移动TD-LTE网络建设与朝鲜隔江而建,参考丹东边境GSM网络的方法,结合TD-LTE网络自身特点,TD-LTE网络采用宏站小区覆盖朝鲜新义州沿江区域,令宏站小区采用基于位置的接纳控制算法(如Ao A+TA方法等),通过UE距离站点的远近限制朝鲜用户接入TD-LTE网络进行业务。     

一种最小机械比能计算参数优化的方法

机械比能是衡量钻井效率的重要因素之一,它用来衡量钻头破碎单位体积岩石耗能大小[1]。传统的比能计算模型通过多个参数进行计算来求得比能值,较为复杂。文章通过利用比能计算模型中参数之间的关系,假设并通过Matlab拟合验证参数之间关系的函数方程,将原有的模型化简为只拥有钻压一个计算参量的新计算模型。通过求解新模型一阶导数的零点,求得最优钻压值,并以此求得最小机械比能,最终确定最佳钻井参数。     

混合光环晶格的实验研究

混合光环晶格是由束腰半径相同、拓扑电荷数分 别为整数和分数的两束拉盖尔-高斯(LG,Laguerre-Gaussian)涡旋光束共轴叠加 而成。本文理论模拟产生了混合光环晶格,包括混合亮环晶格和混合暗环晶格;基于共轭对 称延拓傅里叶 计算全息生成了混合光环晶格的全息图,并利用反射式空间光调制器(SLM),光电再现了高 质量的混合光环 晶格,实验结果与理论模拟一致。研究表明,混合光环晶格可以揭示拓扑电荷数的变化对 光环晶格的光束 分布影响,对深入理解复合涡旋光束提供了实验依据。     

Kinetic Study of Radical Polymerization VIII. A Comprehensive Study of Solution Copolymerization of Vinyl Acetate and Methyl Acrylate by 1H‐NMR Spectroscopy

Radical copolymerization reaction of vinyl acetate (VA) and methyl acrylate (MA) was performed in a solution of benzene‐d₆ using benzoyl peroxide (BPO) as the initiator at 60°C. Kinetic studies of this copolymerization reaction were investigated by on‐line ¹H‐NMR spectroscopy. Individual monomer conversions vs. reaction time, which was followed by this technique, were used to calculate the overall monomer conversion, as well as the monomer mixture and the copolymer compositions as a function of time. Monomer reactivity ratios were calculated by various linear and nonlinear terminal models and also by simplified penultimate model with r _2(VA)=0 at low and medium/high conversions. Overall rate coefficient of copolymerization was calculated from the overall monomer conversion vs. time data and k _p  . k _t ^?0.5 was then estimated. It was observed that k _p  . k _t ^?0.5 increases with increasing the mole fraction of MA in the initial feed, indicating the increase in the polymerization rate with increasing MA concentration in the initial monomer mixture. The effect of mole fraction of MA in the initial monomer mixture on the drifts in the monomer mixture and copolymer compositions with reaction progress was also evaluated experimentally and theoretically.     

Biparametric potentiometric analytical microsystem for nitrate and potassium monitoring in water recycling processes for manned space missions

The construction and evaluation of a Low Temperature Co-fired Ceramics (LTCC)-based continuous flow potentiometric microanalyzer prototype to simultaneously monitor the presence of two ions (potassium and nitrate) in samples from the water recycling process for future manned space missions is presented. The microsystem integrates microfluidics and the detection system in a single substrate and it is smaller than a credit card. The detection system is based on two ion-selective electrodes (ISEs), which are built using all-solid state nitrate and potassium polymeric membranes, and a screen-printed Ag/AgCl reference electrode. The obtained analytical features after the optimization of the microfluidic design and hydrodynamics are a linear range from 10 to 1000 mg L⁻¹ and from 1.9 to 155 mg L⁻¹ and a detection limit of 9.56 mg L⁻¹ and 0.81 mg L⁻¹ for nitrate and potassium ions respectively.     

A fast parallel clustering algorithm for molecular simulation trajectories

We implemented a GPU‐powered parallel k‐centers algorithm to perform clustering on the conformations of molecular dynamics (MD) simulations. The algorithm is up to two orders of magnitude faster than the CPU implementation. We tested our algorithm on four protein MD simulation datasets ranging from the small Alanine Dipeptide to a 370‐residue Maltose Binding Protein (MBP). It is capable of grouping 250,000 conformations of the MBP into 4000 clusters within 40 seconds. To achieve this, we effectively parallelized the code on the GPU and utilize the triangle inequality of metric spaces. Furthermore, the algorithm's running time is linear with respect to the number of cluster centers. In addition, we found the triangle inequality to be less effective in higher dimensions and provide a mathematical rationale. Finally, using Alanine Dipeptide as an example, we show a strong correlation between cluster populations resulting from the k‐centers algorithm and the underlying density. © 2012 Wiley Periodicals, Inc.