Fault detection for continuous‐time switched systems under asynchronous switching

In this paper, the problem of fault detection for continuous‐time switched systems under asynchronous switching is investigated. The designed fault detection filter is assumed to be asynchronous with the original systems. Attention is focused on designing a fault detection filter such that the estimation error between the residual and the fault is minimized in the sense of H _∞ norm. By employing piecewise Lyapunov function and average dwell time techniques, a sufficient condition for the existence of such a filter is exploited in terms of certain linear matrix inequalities. Finally, an example of a switched electrical circuit is provided to illustrate the effectiveness of the proposed approach. Copyright © 2013 John Wiley & Sons, Ltd.     

1D helical ZnII metal–organic polymers: Syntheses,structures and fluorescent properties

Hydrothermal reactions of 1,1′-(1,5-pentanediyl)bis-1H-benzimidazole (pbbm) with ZnCl₂ afford two 1D helical metal–organic polymers {[ZnCl₂(pbbm)] · (H₂O)_1/8}_n (1) and {[Zn(pbbm)₂] · Cl₂ · (H₂O)_1/2}_n (2). Polymer 1 features a 1D single helical architecture, whereas 2 possesses a 1D cationic double helical chain framework. Photoluminescence investigations reveal that both of them display strong emissions in the solid state at room temperature, which could originate from a ligand-to-ligand charge-transfer (LLCT) transition, as confirmed by the molecular orbital (MO) calculations.     

基于IOWA算子的区间组合预测方法

针对预测值与实际值都以区间数形式给出的组合预测问题,引进诱导有序加权平均(IOWA)算子,提出了以区间中心位置误差平方和与区间长度误差平方和的凸组合为准则的区间组合预测模型,给出了确定Ⅰ-OWA算子区间组合预测模型权系数的数学规划方法,实例分析表明,该模型能有效提高区间组合预测精度.     

Implementing optimized pairings with elliptic nets

In this paper,we use elliptic nets to implement the optimized Ate pairings and optimal pairings on the Barreto-Naehrig curves with embedding degree 12.In order to do the arithmetic of elliptic curves over finite fields with elliptic nets,we first give some basic properties of elliptic nets associated to elliptic curves over finite fields and the expression of Miller function in terms of elliptic nets.Then we give formulae to compute some optimized pairings with elliptic nets,which is a new method to implement pairings.This method with elliptic nets has time complexity comparable to Miller’s algorithm and it can be optimized.     

Lattice-based key exchange on small integer solution problem

In this paper, we propose a new hard problem, called bilateral inhomogeneous small integer solution （Bi-ISIS）, which can be seen as an extension of the small integer solution problem on lattices. The main idea is that, instead of choosing a rectangle matrix, we choose a square matrix with small rank to generate Bi-ISIS problem without affecting the hardness of the underlying SIS problem. Based on this new problem, we present two new hardness problems： computational Bi-ISIS and decisional problems. As a direct application of these problems, we construct a new lattice-based key exchange （KE） protocol, which is analogous to the classic Diffie- Hellman KE protocol. We prove the security of this protocol and show that it provides better security in case of worst-case hardness of lattice problems, relatively efficient implementations, and great simplicity.     

DPV: a taxonomy for utilizing deep learning as a prediction technique for various types of cancers detection

Multimedia Tools and Applications - Deep learning (DL) is a type of machine learning capable of processing large quantities of data to provide analytic results based on a particular...     

融合引导滤波和小波变换的水下图像增强算法

针对水下环境对比度低和极其模糊的视觉效果问题,提出了一种融合引导滤波和小波变换的水下图像增强算法。利用引导滤波将图像分为基础部分和细节部分,将小波变换应用于基础部分,对产生的低频图像进行限制对比度直方图均衡,高频部分分别使用改进的对数函数增强,然后将处理后的高低频部分进行小波逆变换。细节部分进行增益计算;最后将处理后的基础部分和细节部分进行加权融合,再对融合图像进行限制对比度直方图均衡,得到目标图像。仿真实验表明,该方法在保留图像细节的同时很好地克服了光照不均匀对图像的影响.     

针对多目标的分布式多边融合定位

针对基于接收信号强度指数(Received Signal Strength Indicator,RSSI)的多目标定位问题,结合点估计与椭圆估计算法,提出一种新的分布式多边融合定位(Distributed Multi-lateral Fusion Localization,DMFL)算法.首先,通过多边定位算法进行粗定位,估计目标的大致位置.其次,基于区间分析理论在线获取泰勒展式高阶余项的边界,并通过集员递归算法求解多目标定位问题.最后,通过实验和仿真验证该算法的定位性能.结果表明,在相同的节点布置条件下,与最新的RSSI定位算法相比,该算法的定位精度更高,最大误差小于0.3 m,并可提供保证包含目标真实位置的最优区域.     

基于云模型与PROMETHEE方法的语言型Z-number多属性决策

针对属性权重未知,属性值为语言型Z-number的多属性决策问题,提出了一种基于云模型与丰富度评估的偏好排序组织方法（Preference ranking organization method for enrichment evaluation, PROMETHEE）的决策方法。首先,引入语言尺度函数,然后利用其建立转化模型完成语言型Z-number向云模型的转化。此外,通过定义云可能度函数,建立属性权重求解公式及构建正弦偏好函数,进而计算方案的优先指数,通过计算方案的正负方向优序级别值得到备选方案综合优序级别值,进而得到方案排序。最后通过算例及比较分析验证本方法的有效性和可行性。     

基于OE-概念格的形式背景属性约简

在三支概念格的属性约简框架下,借助布尔矩阵理论,研究保持OE-对象粒矩阵不变的属性约简问题。给出OE-对象粒矩阵的概念以及OEG粒协调集的定义,在此基础之上讨论属性之间的相似性,并且刻画属性的内外重要度。针对对象导出三支概念格的形式背景设计基于矩阵理论的启发式属性约简算法。将上述理论结果应用于对象导出三支概念格的决策形式背景,提出三支协调决策形式背景及OEG粒协调集的概念,并且从规则提取的角度说明约简集对应的OE-概念格的决策形式背景的三支规则集比原背景的三支规则集更加简洁。通过数值实验阐明该理论的可行性和合理性。