Robust non‐fragile H ∞ ∕ L2 − L ∞ control of uncertain linear system with time‐delay and application to vehicle active suspension

This paper presents an approach to design robust non‐fragile H _∞ ∕ L₂ ? L _∞ static output feedback controller, considering actuator time‐delay and the controller gain variations, and it is applied to design vehicle active suspension. According to suspension design requirements, the H _∞ and L₂ ? L _∞ norms are used, respectively, to reflect ride comfort and time‐domain hard constraints. By employing a delay‐dependent Lyapunov function, existence conditions of delay‐dependent robust non‐fragile static output feedback H _∞ controller and L₂ ? L _∞ controller are derived, respectively, in terms of the feasibility of bilinear matrix inequalities. Then, a new procedure based on LMI optimization and a hybrid algorithm of the particle swarm optimization and differential evolution is used to solve an optimization problem with bilinear matrix inequality constraints. Simulation results show that the designed active suspension system still can guarantee their own performance in spite of the existence of the model uncertainties, the actuator time‐delay and the controller gain variations. Copyright © 2014 John Wiley & Sons, Ltd.     

High-speed train navigation system based on multi-sensor data fusion and map matching algorithm

Navigation system for high-speed trains is necessary for increased operational safety and efficiency, new services for customers, and low maintenance cost. This paper proposes a high accuracy navigation system for high-speed trains based on a sensor fusion algorithm, with non-holonomic constraints, for multiple sensors, such as accelerometers, gyroscopes, tachometers, Doppler radar, differential GPS, and RFID, and a map matching algorithm. In the proposed system, we consider the federated Kalman filter for sensor fusion, where local filters utilize filter models developed for various sensor types. Especially, the local Kalman filter for RFID positioning, that is detected at irregular time intervals due to the varying train speed and RFID tag spacing, is developed to maintain high performance during GPS outage. In addition, an orthogonal projection map matching algorithm is developed to improve the performance of the proposed system. The performance of the proposed system is demonstrated with numerous simulations for a high-speed train in Korea. The simulation results are analyzed with respect to the existence of tunnel, RFID deployment spacing, RFID location uncertainty, and DGPS error.     

基于拉普拉斯分值和超球支持向量机的轴承故障诊断方法设计

针对轴承振动信号中的故障信息往往很微弱,同时振动样本数据分布不平衡即故障样本占总样本数的比例低,从而导致故障诊断模型训练不精确而影响诊断精度的问题,提出了一种基于拉普拉斯分值和超球大间隔支持向量机的故障诊断方法;首先,采用有标签的训练样本数据和拉普拉斯分值法提取原始振动信号中的微弱故障信息,并降低其数据维数,从而得到用于故障诊断的特征向量,然后设计了一种改进的超球大间隔支持向量机的故障诊断模型,通过最小化超球体积和最大化超球边界和故障样本之间的间隔来实现故障诊断,以解决样本的不均衡问题,最终通过将测试样本数据代入决策方程并通过投票机制确定其故障类别;在Matlab环境下对轴承故障诊断进行实验,实验结果证明了文中方法能有效解决样本的不均衡情况下的故障诊断,且相对其它方法,具有诊断精度高和收敛速度快的优点.     

一种自适应无线传感器网络监控系统网关设计

针对无线传感器网络网关通信方式单一、灵活性差的问题,设计并实现了一种自适应WSN监控系统网关,网关能够根据工作环境选择以太网、WiFi、GPRS通信方式中的一种来转发无线传感器网络的数据;基于STM32F107微处理器完成了网关的硬件开发和软件设计,实现了数据汇集、通信方式的选择、远程通信等功能;基于VC++完成了监控中心软件的开发,实现了数据接收、图形化显示、存储、查询等功能;搭建校园温湿度监控系统对网关性能进行测试,测试结果表明,该网关有扩展灵活、可靠性高、使用方便等特点。     

Automated classification of touching or overlapping M-FISH chromosomes by region fusion and homolog pairing

Automated separation and classification of touching or overlapping chromosomes in a metaphase image is a critical step in computer-aided chromosome analysis. The advent of the multiplex fluorescence in situ hybridization (M-FISH) technology enables multi-spectral chromosome image with rich spectral information and DAPI image with abundant texture information. This paper presents a fusion classification scheme to improve the segmentation of overlapping and touching chromosomes. First, the texture and spectral information is fused to partition the chromosome cluster into a series of homologous regions. Then a graph-theoretical classification and pairing method is proposed to resolve any remaining ambiguity of the aforementioned separation process. Experiment results demonstrate that the proposed method outperforms conventional multi-spectral classification methods in touching and overlapping chromosome separation.     

Hermite interpolation with simple planar PH curves by speed reparametrization

We introduce a new method of solving C¹ Hermite interpolation problems, which makes it possible to use a wider range of PH curves with potentially better shapes. By characterizing PH curves by roots of their hodographs in the complex representation, we introduce PH curves of type K(t−c)²ⁿ⁺¹+d. Next, we introduce a speed reparametrization. Finally, we show that, for C¹ Hermite data, we can use PH curves of type K(t−c)²ⁿ⁺¹+d or strongly regular PH quintics satisfying the G¹ reduction of C¹ data, and use these curves to solve the original C¹ Hermite interpolation problem.     

Interpersonal perception in bulletin board systems among Chinese Internet users

A study investigating the accuracy of interpersonal perception in Internet Bulletin Board Systems (BBS) and the variables that affect the accuracy were conducted in two phases: in the phase one, 58 participants were selected from the BBS which was built on the Internet in advance. During the phase two, participants were requested to complete the Myers–Briggs Type Indicator (MBTI) to assess their personalities, and to choose another member in the BBS as their “target”. The assessment packets were then administered to the participants in the following order: the demographic and Internet use survey, the MBTI used by the judge to assess their target’s personality, and the relationship survey between judge and target. The results showed that 76.7% participants made the correct judgment on two to three out of four dimensions of the personality type. The correlation analysis indicated that the variables affected the accuracy were from four aspects: judge, target, relationship and similarity. The binary logistic regression analysis showed that the target’s personality, the judge’s education level, the similarity between them, the stereotypes and projection played important roles on the accuracy. Possibilities for future research on this issue are also briefly discussed.     

一种复杂背景下的目标提取算法

针对目标与背景颜色接近,普通阈值处理算法不能有效实现图像分割的情况,提出了一种基于阈值处理的目标提取算法.首先对图像进行阈值处理得到目标,然后针对剩余像素进行二次阈值处理,最后第三次阈值处理在两次阈值处理后得到的目标总和中去掉被误提取的背景,得到了较好的分割效果.     

基于UG Open C的FANUC M-16iB/20工业机器人动态仿真

采用UG和其二次开发接口Open C API,对日本FANUC公司生产的M-16iB/20型机器人建立了三维运动仿真模型.采用Denavit-Hartenberg方法建立了连杆坐标系下的机器人运动学模型,并采用Open C编写了运动学正、逆解的程序,阐述了模型的建立方法及过程,实现了在UG环境下的机器人按指定路径的运动仿真.最后总结了该仿真系统的主要特点,为机器人动力学及离线编程技术的研究打下了基础.