曲面的自适应三角网格剖分

在传统的映射法基础上 ,采用自适应三角网格加密法能有效地处理带有特征约束条件的任意曲面的三角剖分问题 .在平面三角化算法中对环边统一处理 ,并且采取了一种简单有效的曲率估算方法 ,提高了运行效率 ;并在保持外观的基础上进行了网格质量的优化     

基于背景分类的运动目标检测算法

针对光线暗、对比度和分辨率低的监控视频,提出了一种基于背景分类的运动目标检测算法。 首先用视频第一帧图像HSV空间的色度H和亮度V作为背景特征进行初始化,建立两种包含色度和亮度特征的背景模型类,即初始化得到的原始背景类和受光照或者其他因素影响得到的在原始背景周围波动的背景波动类,利用这两个背景模型进行前景检测和背景更新。为提高前景检测的准确率,背景模型的更正加入背景更正机制和权重机制,使得背景中样本的数量根据背景的实际情况处在一种动态的变化中,提高前景分割的效率。用不同场景下的监控视频进行算法对比实验,结果证明,该算法获得的前景完整清晰,视频处理的速度较快。提出的算法简单实用,对噪声干扰表现出良好的鲁棒性。     

An adaptive robustizing approach to kalman filtering

The performance of a linear Kalman filter will degrade when the dynamic noise is not Gaussian. A robust Kalman filter based on the m-interval polynomial approximation (MIPA) method for unknown non-Gaussian noise is proposed. Two situations are considered: (a) the state is Gaussian and the observation noise is non-Gaussian; (b) the state is non-Gaussian and the observation noise is Gaussian. It is shown, as compared with other non-Gaussian filters, the MIPA Kalman filter is computationally feasible, unbiased, more efficient and robust. For the scalar model, Monte Carlo simulations are given to demonstrate the ideas involved.     

基于改进非参数核密度估计和拉丁超立方抽样的电动公共客车负荷模型

为了建立更精确的电动公共客车充电负荷模型,对起始荷电状态和起始充电时间的概率分布和抽样方法进行研究。首先针对概率分布,提出采用边界核的自适应非参数核密度估计算法,该方法无需概率分布的任何假设,能有效解决边界偏差和缺乏局部适应性的问题,从而提高了起始荷电状态和起始充电时间概率分布的准确度和适应性。其次针对抽样环节,提出结合三次样条插值法的改进拉丁超立方抽样算法,该方法不仅可以解决累积分布函数的反函数较难求解的问题,而且具有准确度高、抽样规模小等优点。最后,以这两种算法为基础,建立电动公共客车充电负荷模型,并将其与实测数据和传统参数估计方法所得结果进行对比。仿真结果证明了所提方法的适应性和有效性。     

3-RRRT并联机器人鲁棒自适应模糊滑模控制

针对3-RRRT型搬运并联机器人提出了一种直接自适应模糊滑模控制方法.根据机器人的系统动力学模型特点,基于Lyapunov函数的综合设计方法和滑模控制理论,利用模糊逻辑系统与自适应技术相结合,提出了一种控制律,然后进行了系统控制仿真实验.结果表明,采用这种直接自适应模糊滑模控制方法的3-RRRT型并联机器人在周期干扰状况下达到了较高的轨迹控制精度,其闭环系统具有较强的自适应性和鲁棒稳定性.     

多路高压放大器输出直流电压监测与显示系统设计

在自适应光学系统中,自适应控制器AD输出控制信号需要通过高压放大器放大成高压电驱动压电陶瓷变形镜,从而实现波前实时校正.在实际系统中,往往需要对高压放大器输出电压进行实时监测.本系统采用小体积单片机C8051F310作为控制器,采用专用电表芯片CS5460A作为核心测量芯片,实现了单板对20路0～500 V直流电压的实时监测与显示,线性度优于0.2％.     

A Multifunctional and Fast-Response Lysosome-Targetable Fluorescent Probe for Monitoring pH and Isoxaflutole

A new chemosensor, namely N-(2-morpholinoethyl)acetamide-4-morpholine-1,8-naphthimide (MMN), was designed and synthesized through an amidation reaction. MMN was fabricated as a multifunctional fluorescent probe for monitoring pH and isoxaflutole. MMN exhibited excellent stability in MeCN/H₂O (v/v, 9/1), with an obvious “off–on” fluorescence response toward pH changes due to intramolecular charge transfer (ICT), where the linear response ranges of MMN in the weakly acidic system were from 4.2 to 5.0 and from 5.0 to 6.0 with apparent pK_a = 4.62 ± 0.02 and 5.43 ± 0.02. Based on morpholine as the lysosome targetable unit, MMN could selectively locate lysosomes in live cells. MMN also successfully detected the presence of H⁺ in test papers. Finally, MMN could specifically recognize isoxaflutole at a detection limit of 0.88 μM. A possible sensing mechanism was identified based on density function theory calculations. These results indicate that MMN could be a superior potential chemosensor for detecting pH and isoxaflutole selectively and sensitively and could be used in real sample detection.     

Comprehensive Analysis of hsa-miR-654-5p’s Tumor-Suppressing Functions

The pivotal roles of miRNAs in carcinogenesis, metastasis, and prognosis have been demonstrated recently in various cancers. This study intended to investigate the specific roles of hsa-miR-654-5p in lung cancer, which is, in general, rarely discussed. A series of closed-loop bioinformatic functional analyses were integrated with in vitro experimental validation to explore the overall biological functions and pan-cancer regulation pattern of miR-654-5p. We found that miR-654-5p abundance was significantly elevated in LUAD tissues and correlated with patients’ survival. A total of 275 potential targets of miR-654-5p were then identified and the miR-654-5p-RNF8 regulation axis was validated in vitro as a proof of concept. Furthermore, we revealed the tumor-suppressing roles of miR-654-5p and demonstrated that miR-654-5p inhibited the lung cancer cell epithelial-mesenchymal transition (EMT) process, cell proliferation, and migration using target-based, abundance-based, and ssGSEA-based bioinformatic methods and in vitro validation. Following the construction of a protein–protein interaction network, 11 highly interconnected hub genes were identified and a five-genes risk scoring model was developed to assess their potential prognostic ability. Our study does not only provide a basic miRNA-mRNA-phenotypes reference map for understanding the function of miR-654-5p in different cancers but also reveals the tumor-suppressing roles and prognostic values of miR-654-5p.     

基于局部变分贝叶斯推断的分布式交互式多模型估计

针对目前部分多模型算法预先设定运动模型转移概率矩阵对状态估计精度的不利影响,本文提出了一种基于局部变分贝叶斯推断的分布式交互式多模型估计算法.不同于传统交互式多模型估计中运动模型转移概率矩阵为先验已知的假设条件,在分布融合估计框架下,首先基于最小化Kullback-Leibler散度准则的递归优化策略实现对运动模型转移概率矩阵的预测与更新;在此基础上,结合变分贝叶斯推断实现对当前时刻目标状态与模型概率的联合估计;最后依据协方差交叉融合策略完成对局部状态估计融合.仿真结果表明:新算法通过对运动模型转移概率矩阵以及模型概率自适应在线估计,有效提升了机动目标的状态估计精度.