Adaptive pruning algorithm for least squares support vector machine classifier

As a new version of support vector machine (SVM), least squares SVM (LS-SVM) involves equality instead of inequality constraints and works with a least squares cost function. A well-known drawback in the LS-SVM applications is that the sparseness is lost. In this paper, we develop an adaptive pruning algorithm based on the bottom-to-top strategy, which can deal with this drawback. In the proposed algorithm, the incremental and decremental learning procedures are used alternately and a small support vector set, which can cover most of the information in the training set, can be formed adaptively. Using this set, one can construct the final classifier. In general, the number of the elements in the support vector set is much smaller than that in the training set and a sparse solution is obtained. In order to test the efficiency of the proposed algorithm, we apply it to eight UCI datasets and one benchmarking dataset. The experimental results show that the presented algorithm can obtain adaptively the sparse solutions with losing a little generalization performance for the classification problems with no-noises or noises, and its training speed is much faster than sequential minimal optimization algorithm (SMO) for the large-scale classification problems with no-noises.     

Passive location of the nonlinear systems with fuzzy uncertainty

With the merits such as hiding receiving, easy-deploying and high security, passive location has attracted more and more attention and plays an important role in fields as diverse as navigation, location, and tracking, etc. However, the current filters models for passive location methods are most under the framework of the probability theory, thus they can not estimate the state in some passive location with fuzzy uncertainty accurately. Although the fuzzy extended Kalman filter (FEKF) can deal with the fuzzy uncertainty, it unavoidably introduces truncation error. In this paper, based on the FEKF and the iterated extended Kalman filter (IEKF) principle, a new fuzzy passive location model is built, and moreover, an iterated fuzzy extended Kalman filter (IFEKF) is proposed for estimating the target state. Compared to the FEKF and the IEKF, the proposed algorithm can not only reduce the truncation error, but also deal with fuzzy uncertainty. Moreover, it is proved that the IFEKF update is an application of the Gauss–Newton method. Then, a fuzzy passive location algorithm is proposed. Simulation results demonstrate that the proposed approach has better estimation precision than the traditional fuzzy extended Kalman filter.     

Generating gas/liquid/liquid three-phase microdispersed systems in double T-junctions microfluidic device

This article describes the generation of microdispersed bubbles and droplets in a double T-junctions microfluidic device to form immiscible gas/liquid/liquid three-phase flowing systems. Segmented gas plugs are controllably prepared in water at the first T-junction to form gas/liquid two-phase fluid with the perpendicular flow cutting method. Then using this two-phase fluid as the cross-shearing fluid for the oil phase at the second T-junction, the gas/liquid/liquid three-phase flowing systems are prepared. Interestingly, it is found that the break-up of the oil droplets is mainly dominated by the cutting effect of the gas/liquid interface or the pressure drop across the emerging droplet, but independent with the viscous shearing effect of the continuous phase, even at the capillary number (Ca = u _wμ_w/γ_ow) higher than 0.01. The size laws and the distributions of the bubbles and droplets are investigated carefully, and a mathematical model has been developed to relating the operating conditions with the dispersed sizes.     

机车涂装线PLC控制系统设计

介绍了机车涂装线控制系统的原理,根据系统设计要求提出控制方案,设计了基于三菱FX2N可编程控制器和三菱AG-OT900触摸屏的涂装线控制系统,完成控制系统的硬件设计和软件设计,系统实现对机车涂装生产线过程的手动和自动控制,与PLC可编程控制机器人对话,实现机车涂装生产线自动排风、自动控制温度,遇到故障系统自动停止运行,完成对涂装生产现场的实时监控和报警;该设备现场运行情况表明,排风和温度控制精度高,运行可靠,满足系统各项要求.     

直升机鲁棒保性能控制律设计

考虑直升机在飞行包线内模型参数的变化及不确定性影响,设计了鲁棒保性能控制律;根据直升机一个标称状态点构造出了参数不确定性矩阵,利用Lyapunov稳定性定理和线性矩阵不等式方法给出了控制器存在的充分条件及参数化设计方法,进行直升机三轴姿态稳定保性能控制律的设计;仿真结果表明,所设计的控制器满足三轴姿态稳定要求且具有很好的鲁棒性。     

基于ANSYS/LS-DYNA的返回舱海面撞水动力研究

在理论分析刚形体垂直撞水动力特性的基础上,分别推导出基于von Karman理论和通用Wagner理论的圆球底返回舱撞水冲击过载公式.然后借助ANSYS/LS-DYNA动力显式程序中ALE算法的优势,进行返回舱海向垂直撞水动力数值仿真;针对数值仿真结果和理论分析预报结果的比较分析来验证数值仿真的可行性,同时给出数值计算弹性体模型垂直撞水的撞水冲击过载;结果表明:采用ANSYS/LS-DYNA的ALE算法可以有效地数值模拟返回舱撞水动力特性,为进一步控制返回舱海面回收以及数值分析撞水动力特性提供有力的技术支持,且大大节约了试验经费.     

应用型计算机本科教育课程体系的研究与探索

本文阐述应用型计算机教育的产生背景以及课程体系研究的必要性,分析应用型教育的特点及其课程体系建立应考虑的因素,并在此基础上给出具有地方特色的应用型计算机教育课程体系及该课程体系中的每个环节的具体构成,最后讨论该课程体系具体实施过程中可能遇到的问题。     

计算机上机实验课程质量保障方式探讨

计算机实验教学是深化理论教学、培养学生动手能力和提高学生素质的重要环节。本文对当前计算机实验教学中存在的问题进行了分析,提出建立文件存储服务器、上机实时监控软件和实验成绩评定数据库系统的方法,以此提高保障上机实验课程教学质量的能力。     

广西壮族干栏建筑对现代展示空间设计的应用探究

壮族干栏建筑是一种具有鲜明地方民族特色的民居类型,壮族干栏建筑以其独特的空间规划和结构独树一帜,现代的许多设计案例从中深受其启发,展示设计也不例外。空间规划是展示设计中的重要要素之一,壮族干栏建筑的空间结构形式对于展示空间规划很有启发作用。本文从壮族干栏建筑中的空间规划和结构特点分析,结合现代展示设计对空间的处理中强调空间层次的体验感,进行探讨干栏建筑对展示设计空间规划的可行性启示。