Creating and simulating a realistic physiological tongue model for speech production

Simulation of the tongue has important applications in biomechanics, medical science, linguistics, and graphics. The accuracy of the geometry, intrinsic structure and dynamic simulation of tongue are crucial for these applications. In this paper, we build a 3D anatomically and biomechanically accurate tongue model. For ensuring anatomical accuracy, the tongue mesh model is constructed based on accurate medical data and an interactive muscle marking method for specifying the muscle geometry and fiber arrangement. For ensuring biomechanical accuracy, a nonlinear, quasi-incompressible, isotropic, hyperelastic constitutive model is applied for describing the tongue tissues. Particularly, tongue muscles are additionally endowed with an anisotropic constitutive model, which reflects the active and passive mechanical behavior of muscle fibers. The dynamic simulation results of tongue movements subjected to certain muscle activations are presented and validated with experimental data, indicating the suitability for visual speech synthesis.     

Analysis and improvement of the quantum image matching

We investigate the quantum image matching algorithm proposed by Jiang et al. (Quantum Inf Process 15(9):3543–3572, 2016). Although the complexity of this algorithm is much better than the classical exhaustive algorithm, there may be an error in it: After matching the area between two images, only the pixel at the upper left corner of the matched area played part in following steps. That is to say, the paper only matched one pixel, instead of an area. If more than one pixels in the big image are the same as the one at the upper left corner of the small image, the algorithm will randomly measure one of them, which causes the error. In this paper, an improved version is presented which takes full advantage of the whole matched area to locate a small image in a big image. The theoretical analysis indicates that the network complexity is higher than the previous algorithm, but it is still far lower than the classical algorithm. Hence, this algorithm is still efficient.     

Adjustable parameter-based multi-objective fault estimation observer design for continuous-time/discrete-time dynamic systems

This paper addresses an adjustable parameter (AP)-based multi-objective fault estimation design for continuous-time/discrete-time dynamic systems. First, a fault estimation observer with AP is constructed to on-line identify the size of occurred faults. The fault estimation design not only possesses a wider application compared with adaptive observers, but also uses the current output information to enhance fault estimation performance. Then a multi-objective approach is proposed to determine the gain matrices of fault estimation observer. Moreover, fault estimation results with the slack-variable technique are obtained to further reduce the conservatism. Finally, simulation results of an aircraft application are presented to illustrate the effectiveness of our contribution.     

基于PXIe总线的旋转可变差动变压器信号仿真技术研究

旋转可变差动变压器(RVDT)信号仿真设备在航空计算机的设计、调试和RVDT数据采集系统的校准等方面起着举足轻重的作用;文中通过对RVDT传感器工作原理深入的剖析,提出基于PXIe总线的RVDT信号仿真方法;文章重点研究了RVDT传感器工作原理及输出特性,阐述了RVDT仿真设备的设计和实现,最后使用RVDT数采板卡CPCI-75C3对RVDT仿真设备进行了验证,结果表明该设备仿真精度高,响应速度快,运行稳定。     

小波模极大值法与数学形态学边缘检测细化结果

图像边缘检测的关键是尽可能多的检测到边缘并且抑制噪声的同时,尽可能的满足单线的边缘定位精度;为此选取了一种融合小波模极大值和数学形态学的边缘检测方法来获取图像边缘;首先在对图像进行小波分解,分别利用模极大值法和多尺度多结构数学形态学方法来处理小波分解的高频分量和低频分量,利用差影法对二者的结果进行融合;然后利用大律法得到二值化图像,并用形态学边缘细化算法细化图像边缘得到最后结果;实验结果显示,融合的方法可以得到比较完善的边缘,经过二值化和边缘细化后,获得的单线宽边缘更加清晰,定位精度更高。     

A Reducing Saturation Method for DMSP/OLS Nighttime Light Image Combining Landsat Data

Defense Meteorological Satellite Program/Operational Linescan System(DMSP/OLS)is one of the data sources,which can effectively reflect human activities of earth surfaces.During the past decade,DMSP/OLS had been extensively applied in urban extraction and extension study.In the recent year,the Vegetation Adjusted NTL Urban Index(VANUI)has been proposed and had proven to be a simple,convenient and high precision desaturation index to extract urban area.In VANUI method,negative values of imagery were directly eliminated to remove water body,which not only removed the bridge over the river and building but also extracted the aquaculture areas along the coast,thus,this method reduced the extraction accuracy.This paper proposed a new index\|RwNTLI,combining DMSP/OLS nighttime light data and the vegetation index (NDVI)and water index (MNDWI)which were constructed by Landsat data.In this study,Guangzhou was taken as experimental area.By comparing the VANUI index with the ability to identify ground objects as well as the ability to alleviate saturation regions,the result showed RwNTLI index could effectively solve the problem of VANUI as well as eliminate saturation effect of nighttime light imagery.Among them,the correlation between RwNTLI index and RCNTL is better than that of VANUI index and RCNTL.Therefore,RwNTLI index is a simple and effective index of luminous desaturation,which has more advantages than VANUI index in describing the characteristics of night lights of urban areas and will have higher application value in urban built\|up areas in the future.     

火焰颜色及动态特征的选择和探测方法

在一般光照前提下对火焰的时空、颜色等特征进行选择时,为了找到适应火焰区域探测的最佳特征,在不同颜色特征中使用PCA特征选择方法对各颜色通道特征进行降维,然后使用Relief特征选择方法确定动态和颜色特征的最佳分类组合特征顺序,最后使用协方差矩阵对各特征的分类贡献效率进行验证。实验过程中为了比较分析采用了3组融合特征,实验结果表明通过Relief和PCA特征选择方法得到的融合特征在火灾监控系统中表现出较好的识别精度和较高的运行效率。     

基于Isolation Forest的并行化异常探测设计

异常探测具有广泛的应用,受到了工业界和学术界的共同关注。在众多异常探测方法中,Isolation Forest算法具有执行效率高、探测准确度好的特点,获得了众多应用。但是,传统Isolation Forest算法难以处理大规模数据。为解决此问题,设计了一种基于云计算平台的算法。具体地,使用Hadoop分布式存储系统和MapReduce分布式计算框架设计并实现了基于Isolation Forest的并行化异常探测算法PIFH。通过将探测模型构建和数据异常评价的过程并行化,提升了PIFH算法探测异常的执行效率,扩展了其应用范围。利用真实世界数据集验证了所提算法的执行效率和可扩展性。     

使用系数矩阵变换极性转换的MPRM电路面积优化

为缩短布尔函数系统混合极性Reed-Muller(mixed-polarity Reed-Muller,MPRM)电路面积优化过程的时间,提出了能在任意极性值的MPRM间进行极性转换的系数矩阵变换方法.使用系数矩阵表示布尔函数系统,通过对系数矩阵进行分隔,使用置换和折叠操作完成MPRM极性转换以加快极性转换速度;在此基础上,给出了适用于较大规模MPRM电路的面积优化算法,其中使用遗传算法进行极性空间搜索,并采用基于最短个体距离的适应度计算方法进一步缩短优化过程中的极性转换时间.实验结果表明,与其他MPRM极性转换方法相比,文中方法能够提高MPRM电路面积优化的速度.     

基于CMYK空间的火灾区域粒子群优化快速定位方法

将CMYK彩色模型下的火焰颜色特征与粒子群优化(Particle swarm optimization,PSO)算法求最优适应度函数相结合,通过合理配置检测窗口邻域中颜色的M,y各低阶矩的特征在欧氏距离分类适应度函数中的因子及PSO中各参数,使森林监测图像的可疑火灾着火点的初定位控制在0.05s以内,最后通过对火灾样本关键图与初定位可疑着火点的颜色互信息的计算而得到进一步的校验和确定.实验表明改进的PSO算法具有良好的火焰区域定位效果及运算效率,易于移植到前端探测的嵌入式火灾探测系统.