Dendrimer as nanocarrier for drug delivery

Dendrimers are novel three dimensional, hyperbranched globular nanopolymeric architectures. Attractive features like nanoscopic size, narrow polydispersity index, excellent control over molecular structure, availability of multiple functional groups at the periphery and cavities in the interior distinguish them amongst the available polymers. Applications of dendrimers in a large variety of fields have been explored. Drug delivery scientists are especially enthusiastic about possible utility of dendrimers as drug delivery tool. Terminal functionalities provide a platform for conjugation of the drug and targeting moieties. In addition, these peripheral functional groups can be employed to tailor-make the properties of dendrimers, enhancing their versatility. The present review highlights the contribution of dendrimers in the field of nanotechnology with intent to aid the researchers in exploring dendrimers in the field of drug delivery.     

冻融循环作用下橡胶颗粒混合土强度特性试验研究

对冻融循环作用后的橡胶颗粒混合土（RST混合土）进行无侧限抗压强度试验,分析强度影响规律。结果表明,在28d养护龄期,虽然掺入橡胶颗粒的RST混合土抗压强度相对水泥土会降低,但是其抗冻融性能比水泥土强;冻融循环5次后,随着水泥掺量的增大,掺有橡胶颗粒的试件强度的提高率明显强于未掺入橡胶颗粒的试件;冻融循环5次后,橡胶颗粒的掺入从一定程度上减缓了由于含水量的不同而导致的RST混合土强度的降低速率。     

动态环境下基于粒子群算法的多用户检测器

在动态环境下,在线用户数和用户的参数都是随时间变化的。研究表明,在动态环境下首先识别在线用户,然后进行多用户检测,会极大地提高多用户检测器的性能和节省资源。基于随机集理论（Random Set Theory,RST）理论,应用一种群智能算法——粒子群算法（Particle Swarm Optimization,PSO）提出了动态环境下的多用户检测器。仿真结果表明该检测器收敛速度快、适应性较强,有效地解决了动态环境下多用户检测。     

Experimental and Theoretical Studies on Desulfurization Efficiency of Dual-alkali FGD System in a RST Scrubber

The effects of operating parameters on desulfurization efficiency of a dual-alkali FGD process in a rotating-stream-tray (RST) scrubber are investigated. A dimensionless factor, e, is proposed in this study to predict desulfurization efficiency of this dual-alkali FGD system. e represents the desulfurization ability of a dual alkali FGD system, determined by five main operating parameters such as sodium ion concentration, ratio of absorbent flow rate to flue gas flow rate, pH value of absorbent solution, ratio of sulfate ion to total sulfur ion in absorbent solution, and sulfur dioxide concentration of inlet flue gas. The empirical expression for predicting desulfurization efficiency at different temperatures is obtained through the experimental study and theoretical calculation. It provides useful guide for engineering design.     

Autonomous clustering using rough set theory

This paper proposes a clustering technique that minimizes the need for subjective human intervention and is based on elements of rough set theory （RST）. The proposed algorithm is unified in its approach to clustering and makes use of both local and global data properties to obtain clustering solutions. It handles single-type and mixed attribute data sets with ease. The results from three data sets of single and mixed attribute types are used to illustrate the technique and establish its efficiency.     

基于直线Hough变换的图像配准方法

为了有效解决不同传感器、不同视角和不同时相条件的图像配准问题,提出了一种基于直线极坐标参数在Hough空间求解图像变换参数的图像配准算法。先提取图像中直线极坐标特征参数,形成匹配特征空间;然后在Hough空间逐步求解RST图像变换的旋转、尺度和平移参数;最后利用实际图像对算法的性能进行了分析与验证。实验结果表明,该方法不需进行复杂的匹配空间搜索,具有适应性强、配准精度高的优点。     

An image rectification scheme and its applications in RST invariant digital image watermarking

This paper presents an image rectification scheme that can be used by any image watermarking algorithm to provide robustness against rotation, scaling and translation (RST) transformations. Rotation and scaling transformations in the spatial domain result in cyclically translational shifts in the log-polar mapping (LPM) of the magnitude of the Fourier transform spectrum of an image. We cut a small block from the LPM domain as a matching template. A new filtering method is proposed to compute the cross-correlation between this template and the magnitude of the LPM of the image having undergone RST transformations to detect the rotation and scaling parameters. We employ the same strategy in the spatial domain to detect the translational parameters in the spatial domain. The scheme can also be used to detect image flipping. The cost of the templates is low and the templates can even be compressed. The detection accuracy for rotation, scaling and translation is also presented. We compare the matching results for the different filters and their performance by the three criteria: signal-to-noise ratio (SNR), peak-to-correlation energy (PCE), and Horner efficiency. We demonstrate that our phase-only filtering method is the only one that can be used in the LPM domain. We also introduce three applications for this rectification scheme and give their experimental results.

Advanced control of a doubly-fed induction generator for wind energy conversion

The aim of this paper is to propose a control method for a doubly-fed induction generator used in wind energy conversion systems. First, stator active and reactive powers are regulated by controlling the machine inverter with three different controllers: proportional–integral, polynomial RST based on pole placement theory and Linear Quadratic Gaussian. The machine is tested in association with a wind-turbine emulator. Secondly a control strategy for the grid-converter is proposed. Simulations results are presented and discussed for each converter control and for the whole system.     

一种小波变换域上的高鲁棒灰度水印

为了提高灰度水印抵抗滤波，加噪等常见攻击以及几何攻击的能力，提出了一种小波变换域上的高鲁棒水印方案。首先对灰度水印提出了一种新颖的数据压缩方法，并且从中提取出用于水印同步的参考比特。对于受到几何攻击的水印图像，提出了在低频子带上使用图像的主轴和边缘轮廓以获得旋转和缩放参数，从而能准确快速地恢复图像。同时在中频子带上采取了一种对参考比特进行高效匹配的办法来进一步实现水印的同步。实验表明除了一般图像处理之外，对于几何变形攻击本方案具有很好的鲁棒性。     

Attribute Selection Based on Rough Set Theory for Electromagnetic Interference (EMI) Fault Diagnosis

Electromagnetic emissions are radiated from every part of a personal computer motherboard, thus producing electromagnetic interference (EMI). EMI has an adverse effect on the surrounding environment because EMI could cause malfunctions or fatal problems in other digital devices. EMI engineers diagnose motherboard EMI problems using the electromagnetic noise data measured by the spectrum analyzer. Finding the sources (e.g., PS2, USB, VGA) of electromagnetic noise is a time-consuming process. The attribute selection and fault diagnosis was developed based on the advantage of rough set theory (RST). RST is a novel data mining approach for dealing with vagueness and uncertainty. It can be used to find hidden patterns in data sets. In this study, the basic rough set theory concepts are introduced. The rough set approach enables one to discover the minimal subsets of condition attributes associated with the motherboard EMI fault diagnosis problem. The operating sequence includes data collection, data preprocessing, discretization, attribute reduction, reduction filtering, rule generation, and classification accuracy. Historical EMI noise data, colleted from a famous motherboard company in Taiwan, were used to generate diagnostic rules. Our research result (average diagnostic accuracy of 80% above) shows that the RST model is a promising approach for EMI diagnostic support systems.