High-resolution ISAR imaging of fast rotating targets based on pattern-coupled Bayesian strategy for multiple measurement vectors

Very high resolution inverse synthetic aperture radar (ISAR) imaging of fast rotating targets is a complicated task. There may be insufficient pulses or may introduce migration through range cells (MTRC) during the coherent processing interval (CPI) when we use the conventional range Doppler (RD) ISAR technique. With compressed sensing (CS) technique, we can achieve the high-resolution ISAR imaging of a target with limited number of pulses. Sparse representation based method can achieve the super resolution ISAR imaging of a target with a short CPI, during which the target rotates only a small angle and the range migration of the scatterers is small. However, traditional CS-based ISAR imaging method generally faced with the problem of basis mismatch, which may degrade the ISAR image. To achieve the high resolution ISAR imaging of fast rotating targets, this paper proposed a pattern-coupled sparse Bayesian learning method for multiple measurement vectors, i.e. the PC-MSBL algorithm. A multi-channel pattern-coupled hierarchical Gaussian prior is proposed to model the pattern dependencies among neighboring range cells and correct the MTRC problem. The expectation-maximization (EM) algorithm is used to infer the maximum a posterior (MAP) estimate of the hyperparameters. Simulation results validate the effectiveness and superiority of the proposed algorithm.     

PLC的大型牵伸卷绕机的应用研究

本文介绍了大型牵伸卷绕机的计算机控制系统，以西门子MMV型变频器为驱动装置，西门子PLC300为控制核心，根据西门子USS协议和MPI协议，实现PLC与变频器、TP27触摸显示屏的通信，取得了较高的控制精度和稳定性，充分满足生产过程的需要，具有广阔的应用前景。     

New modified-majority voter-based efficient QCA digital logic design

ABSTRACT

Quantum-dot cellular automata (QCA) is an emerging nanotechnology and a possible alternative solution to the limitation of complementary metal oxide semiconductor (CMOS) technology. One of the most attractive fields in QCA is the implementation of configurable digital systems. This article presents a novel multifunctional gate called the modified-majority voter (MMV). The proposed gate works on the explicit interaction of the cell characteristic property for the implementation of digital circuits. This prominent feature of the proposed gate reduces the maximum hardware cost and implements highly efficient QCA structures. To verify the functionality of the proposed gate, some physical proofs, truth table and computational simulation results are performed. These results assured the validity of the existence of the proposed gate. It also dissipates less energy which has been calculated under three separate tunnelling energy levels using the QCAPro tool. To prove the effectiveness of the proposed MMV gate, several optimal irreversible arithmetic circuits such as three-input XOR, half-adder and full-adder are proposed. The modular layouts are verified with the freely available QCADesigner tool version 2.0.3.     

重组细胞中鼠细小病毒检测方法的建立及初步应用

目的建立生物技术产品用重组细胞中鼠细小病毒(Murine minute virus,MMV)污染的检测方法,并进行验证及初步应用。方法以NB324K细胞为指示细胞,建立MMV感染性检测方法,并以不同CCID50的MMV分别感染NB324K细胞,验证方法的灵敏度;通过设计针对编码非结构蛋白1(Non-structural protein 1,NS1)保守序列的引物和探针,建立用于重组细胞中MMV检测的实时荧光定量PCR,并对其线性、特异性、精密性、灵敏度、最低检测限及试验可行性和干扰性进行验证;将NB324K细胞感染试验与荧光定量PCR法相结合,建立NB324K细胞感染-PCR法,并通过对大量样本的检测,分析荧光定量PCR法和NB324K细胞感染-PCR法的可行性。结果 NB324K细胞感染试验的灵敏度为0.2 CCID50;荧光定量PCR检测方法最佳线性范围为1×108～1×104拷贝/μl,R2达0.99以上,特异性良好,与其他种属的细小病毒均无交叉反应,试验内和试验间Ct值的变异系数(CV)均小于5%,试验内病毒定量拷贝数的CV在20%～30%之间,试验间病毒定量拷贝数的CV在20%～50%之间,灵敏度为5×103拷贝/μl,最低感染性病毒颗粒检测限为2 CCID50。该方法能够用于细胞样品中MMV的检测,部分样品基质对病毒的检测具有一定的干扰性。NB324K细胞感染-PCR法的灵敏度为0.02 CCID50,检测时间可缩短为96 h,与荧光定量PCR法分别对47份样品进行检测,结果均为阴性。结论成功建立了MMV荧光定量PCR检测方法和NB324K细胞感染-PCR法,可应用于重组细胞中MMV污染的检测,为进一步提高生产用重组细胞的安全性奠定了基础。     

A new future for carbohydrate fuel cells

The development of renewable energy sources to reduce our dependence on limiting fossil fuel reserves continues to be a critical research initiative. Utilizing the abundant high energy content of carbohydrates contained in biomass (cellulose and hemicellulose) must be considered to be an important contribution to our overall energy budget. Carbohydrate-derived furan-based liquid fuels and especially ethanol are becoming important added components forming gasoline blends to lower overall fossil fuel use. Alternate renewable energy processes that more efficiently use the carbohydrate energy content are desirable and would lower the overall carbohydrate input requirement for energy production. Recently, new catalysts have shown the feasibility of efficiently transporting the 24 electrons in glucose to fuel cell electrodes making possible the direct conversion of the stored energy in carbohydrates into electricity with the benign formation of carbonate and water as products. The conversion of glycerol, a byproduct of biodiesel production, into three-carbon carbohydrates provides another opportunity to produce electricity from an abundant carbohydrate source. New developments in catalyst systems promise to make carbohydrate fuel cells an important part of future energy strategies.     

用于宽带频谱感知的全盲亚奈奎斯特采样方法

亚奈奎斯特采样方法是缓解宽带频谱感知技术中采样率过高压力的有效途径。该文针对现有亚奈奎斯特采样方法所需测量矩阵维数过大且重构阶段需要确切稀疏度的问题,提出了将测量矩阵较小的调制宽带转换器(MWC)应用于宽带频谱感知的方法。在重新定义频谱稀疏信号模型的基础上,提出了一个改进的盲谱重构充分条件,消除了构建MWC系统对最大频带宽度的依赖;在重构阶段,将稀疏度自适应匹配追踪(SAMP)算法引入到多测量向量(MMV)问题的求解中。最终实现了既不需要预知最大频带宽度也不需要确切频带数量的全盲低速采样,实验结果验证了该方法的有效性。     

基于MMV模型压缩感知在超宽带穿墙雷达的应用

针对超宽带穿墙雷达的具体工作过程和穿墙雷达目标成像空间的稀疏性,提出一种基于MMV模型的压缩感知成像方法,该方法通过获取回波数据,能够降低系统在采样上的要求,利用少量的数据可以很好地恢复出所需要的信息,从而达到成像的目的.仿真实验证明了该方法的可行性和有效性.     

辛基十二醇月桂酰谷氨酸双酯的结构表征及保湿性能评价北大核心CSCD

为了开发具有保湿、修复功效的类神经酰胺产品,以月桂酰谷氨酸、辛基十二醇为原料,通过无溶剂法制备了辛基十二醇月桂酰谷氨酸双酯(PS-203),并对PS-203结构进行了表征。借助皮肤探头测试系统研究了PS-203在两种挥发性溶液体系中的保湿效果,并与神经酰胺2等保湿成分进行了对比。另外,构建离体猪皮模型,采用皮肤超声诊断法评价了PS-203对受损皮肤的修复效果。结果表明:通过结构表征,证明了PS-203被成功合成;质量分数为3%、4%、5%的PS-203溶液保湿效果最好,使用后3 h内皮肤水分含量(MMV)变化率可提高至8.9%,经皮水分散失(TEWL)降低率可达24.4%;PS-203能达到与神经酰胺2相近的保湿效果,且保湿效果明显优于角鲨烷、霍霍巴油、棕榈酸乙基己酯和辛酸/癸酸甘油三酯;PS-203可使离体受损猪皮角质层密度提高3百分点,皮肤厚度增加7μm,效果与神经酰胺2相近。综上,PS-203在皮肤保湿及修复方面均具有优异的表现。     

化妆品保湿功效评价研究

通过测定不同质量分数保湿剂的皮肤水分含量（MMV）值和经表皮水分散失（TEWL）值,研究了保湿功效评价方法。研究得到了不同质量分数的保湿剂在化妆品配方中的保湿效果存在显著性差异,啫哩配方中的基质成分主要是水,能够准确地测定出添加保湿剂的保湿功效;而乳液配方中的基质含有保湿成分,测定保湿剂与基质复合的保湿功效。结果表明,通过测定MMV和TEWL评定化妆品保湿性具有准确度高和灵敏度好且易操作等特点,能够全面综合地评价化妆品保湿功效,是保湿化妆品功效评价的有效方法。     

Rank-defective millimeter-wave channel estimation based on subspace-compressive sensing

Millimeter-wave communication (mmWC) is considered as one of the pioneer candidates for 5G indoor and outdoor systems in E-band. To subdue the channel propagation characteristics in this band, high dimensional antenna arrays need to be deployed at both the base station (BS) and mobile sets (MS). Unlike the conventional MIMO systems, Millimeter-wave (mmW) systems lay away to employ the power predatory equipment such as ADC or RF chain in each branch of MIMO system because of hardware constraints. Such systems leverage to the hybrid precoding (combining) architecture for downlink deployment. Because there is a large array at the transceiver, it is impossible to estimate the channel by conventional methods. This paper develops a new algorithm to estimate the mmW channel by exploiting the sparse nature of the channel. The main contribution is the representation of a sparse channel model and the exploitation of a modified approach based on Multiple Measurement Vector (MMV) greedy sparse framework and subspace method of Multiple Signal Classification (MUSIC) which work together to recover the indices of non-zero elements of an unknown channel matrix when the rank of the channel matrix is defected. In practical rank-defective channels, MUSIC fails, and we need to propose new extended MUSIC approaches based on subspace enhancement to compensate the limitation of MUSIC. Simulation results indicate that our proposed extended MUSIC algorithms will have proper performances and moderate computational speeds, and that they are even able to work in channels with an unknown sparsity level.