基于模糊控制的分段洗出算法

洗出算法优劣对汽车模拟器运动模拟逼真度具有重大影响。针对经典洗出算法模拟逼真度不高以及滤波器参数固定的问题,提出一种优化方法。运用人体主观相等点理论,对输入的加速度信号进行分段处理,同时将模糊控制理论应用到经典洗出算法中,实时确定加速度高通滤波通道、加速度低通通道与角速度高通滤波通道中滤波器的自然频率,最后在 SIMULINK 中对优化的洗出算法进行仿真与分析。仿真结果显示,优化后的洗出算法相比经典洗出算法感知误差降低了 68.4%,该结果表明优化后的洗出算法可以提高模拟逼真度。     

Motion information analysis system based on acceleration signals

A motion information analysis system based on the acceleration data is proposed in this paper,consisting of filtering,feature extraction and classification.The Kalman filter is adopted to eliminate the noise.With the time-domain and frequency-domain analysis,acceleration features like the amplitude,the period and the acceleration region values are obtained.Furthermore,the accuracy of the motion classification is improved by using the k-nearest neighbor （KNN） algorithm.     

一种改进的粒子滤波目标跟踪算法

针对无线传感器网络实际环境的非线性模型目标跟踪问题,提出一种改进的粒子滤波跟踪算法。首先用模糊C-均值算法确定量测的目标归属,对同一目标的量测进行线性融合,然后用采样重要重采样粒子滤波估计目标位置。仿真结果表明：在非线性模型下,所提出算法与扩展卡尔曼滤波相比,目标估计位置的均方根误差从0．6895m显著减小到0．3703m。     

对称铣削系统协同运动位姿误差预测与补偿算法

针对对称铣削系统在加工过程中会出现协同位姿误差的问题,提出一种考虑温度变化的对称铣削系统协同位姿误差预测与补偿方法。在恒温条件下,将对称铣削系统的工作空间划分为平动轴运动空间和旋转轴运动空间,提出一种在采样点误差已知情况下的误差预测算法|在变温条件下,通过测量分析对称铣削系统的热误差,提出一种能够快速确定任意温度下系统误差的方法。在误差补偿方面,提出一种递归算法补偿系统误差,并在对称铣削系统上进行实验。结果表明,在恒温条件下,补偿后的协同位置精度及姿态精度分别提高了78.42%和 57.03% ,在变温条件下分别提高了 79.14%和 62.79%,验证了该算法的有效性。     

Extracting Moving Objects Based on Morphological Motion Filter

This paper presents a new approach to the extraction of a moving object from video sequence.The method is based on morphological motion filter using connected operator and a propsed new filtering criterion.The morphological motion filter aims to detect motion which is distinct from that of the background,and thereby locates independently moving physical objects in the secnes.Experiments show that the algorithm can extract object from moving backgrounds efficiently.     

机器人无标定手眼协调方法研究

无标定情况下的视觉定位是机器人视觉伺服领域的热点和难点。提出一种基于快速自适应滤波的机器人无标定手眼协调方法。首先根据机器人三维基坐标建立运动空间和图像特征空间的微分映射关系,在不预先标定视觉传感器与机器人参数情况下,设计一个直接估计增益矩阵 Kk 的自适应滤波器,在线辨识图像雅可比矩阵。采用最小二乘法获得状态估计的初始值,在此基础上设计视觉控制器和计算运动控制量。在 MAT?LAB 环境下建立机器人手眼协调控制系统仿真模型,将该方法用于观测噪声统计特性未知情况下的定位反馈,并对机器人空间螺旋运动的跟踪情况进行分析。实验结果表明,该自适应滤波器能够完成不规则环境下视觉引导的追踪任务,定位效果优于常规卡尔曼滤波和 Sage-Husa 自适应滤波,具有较强的鲁棒性。     

基于MITK的CT序列图像模糊连接度分割算法研究

MITK是一个集成化的医学影像处理与分析C++类库的软件包.本文在VC++6.0环境下对MITK的区域生长Filter进行了扩充,实现了模糊连接度算法的Filter,并对腹部CT序列图像中的肝内血管进行分割,获得了较好的结果,为下一步利用MITK算法平台进行医学图像分割和可视化等开发打下基础.     

Research on the operating characteristics of parallel 4-DOF electric platform with 4TPS-PS structure

The 4TPS-PS parallel platform designed for a stabilization and automatic tracking system is a novel lower-mobility parallel mechanism. In the first part of this paper, the structure of the platform is described and the kinematics model is built. The workspace of the platform is defined as the full reachable rotation workspace when the Z coordinate dimension of the upper plate varies continuously. A fast searching method of the full reachable workspace is presented, after which the inverse kinematics of the platform is deduced. The forward and inverse solutions of the speed and force of the platform are deduced. According to the characteristic of the 4TPS-PS platform’s structure, a fast searching algorithm of the maximum generalized speed and maximum generalized force output by the upper plate is put forward based on the forward and inverse solutions of the platform’s speed and force. The 4TPS-PS platform prototype built by the State Key Laboratory of Fluid Power Transmission and Control of China is taken as the research subject. The full reachable rotation workspace of the prototype is computed out and analyzed. The curves of maximum generalized speed and maximum generalized force of the prototype are computed out and plotted. Finally, the com- puting and analyzing results of the operating characteristics are confirmed through the experiment.     

基于改进的模糊神经网络算法的微互动平台设计

基于改进的模糊神经网络算法进行微互动平台设计,调整模糊神经系统网络的结构和参数以建立信息搜索引擎模型,生成时间序列来提取校园的数据信息,提取结果作为设计微互动平台的基础,由此可以使慕课平台给用户提供个性化的服务,提高用户浏览的有效性和便利性。     

一种新的模糊彩色图像边缘检测算法

为提高算法的普适能力,本文提出了一种新的模糊彩色图像边缘检测算法。算法引入了特征散度度量像素差异性,凭借多尺度理论去噪和准确定位的优势,有效地检测彩色图像的边缘。与传统的边缘提取算法和模糊竞争算法相比,模糊彩色图像边缘检测算法较好地降低了彩色图像大样本数据的运算量,得到更满意的效果,与人的主观视觉感知具有良好的一致性。     

基于生成对抗网络的图像盲去运动模糊算法

针对运动图像盲去模糊问题,基于生成对抗网络,提出利用一种端对端方式恢复模糊图像算法。运用生成对抗神经网络方法对运动模糊图像直接复原,跳过估计模糊核过程,增加感知损失作为损失项,使图片内容和全局结构接近。此外,增加结构相似性损失函数作为约束项,进一步提升生成图片与清晰图片的相似性。实验结果表明,新算法可有效去除运动图像模糊。与其它算法相比,所提算法获得的图像更加清晰。     

基于模糊PID控制的CVT电液伺服系统的优化设计

为提高乘坐的舒适性,减少汽车在变速时产生的顿挫感,提出了模糊PID算法对CVT电液伺服系统进行优化设计。建立CVT电液伺服系统的控制模型,设计出模糊PID控制器,对系统进行优化仿真。仿真结果表明,模糊PID控制器可以有效地优化系统的不确定性因素,提高了系统的抗干扰能力和鲁棒性。     

An adaptive fuzzy filter for coding artifacts removal in video and image

This paper proposes a new adaptive post-filtering algorithm to remove coding artifacts in block-based video coder. The proposed method concentrates on blocking and ringing artifacts removal. For de-blocking, the blocking strength is identified to determine the filtering range, and the maximum quantization parameter of the image is used to adapt the 1D fuzzy filter. For de-ringing, besides the edge detection, a complementary ringing detection method is proposed to locate the neglected ringing blocks, and the gradient threshold is adopted to adjust the parameter of 2D fuzzy filter. Experiments are performed on the MPEG-4 sequences. Compared with other methods, the proposed one achieves better detail preservation and artifacts removal performance with lower computational cost.     

Blind channel equalization algorithm based on dual unscented Kalman filter for chaotic multi-input multi-output communication systems

To reduce channel noise,fading,and inter-user interference effectively in the chaotic communication systems with multi-user,a blind channel equalization algorithm based on dual unscented Kalman filter algorithm is proposed.Assuming that the coefficients of a multi-input multi-output (MIMO) channel can be described by an autoregressive model,two separate state-space representations are used for the signals and coefficients.Then two unscented Kalman filters are used to estimate chaotic signals and channel coefficients simultaneously.The simulation results indicate that the algorithm can effectively track the coefficients of the multi-path fading channel in chaotic MIMO communication systems at a fast convergence speed.     

基于数据融合技术的图像平滑方法

在分析边缘保持滤波器算法的基础上,应用多传感器数据融合技术,提出了一种新的图像平滑算法。该算法釆用线状掩模窗口和最优融合估计方法,有效地增强了边缘保持能力和去噪能力,克服了边缘保持滤波器存在的缺陷。实验结果表明,该算法性能优于边缘保持滤波器及经典均值滤波器。     

基于最小偏差的大型转子绕线直线插补算法

分析了大型转子绕线机的运动模型,采用最小偏差准则,给出了实现绕线机飞叉轴和水平轴运动控制的直线插补算法。并进一步通过仿真和实际绕线实验验证该算法的有效性。在仿真实验中,采用的最小偏差直线插补算法具有较好的绕线精度;在RW400大型绕线机实际绕线测试实验中,大型电机转子绕线间距均匀,排列紧密,单圈误差小于0.1%。实验结果表明,最小偏差直线插补算法能够较好地用于大型电机转子绕线机插补运动控制。     

Embedding ensemble tracking in a stochastic framework for robust object tracking

We propose an algorithm of embedding ensemble tracking in a stochastic framework to achieve robust tracking performance under partial occlusion, illumination changes, and abrupt motion. It operates on likelihood images generated by the ensemble method, and combines mean shift and particle filtering in a principled way, where a better proposal distribution is designed by first propagating particles via a motion model, and then running mean shift to move towards their local peaks in the likelihood image. An observation model in the particle filter incorporates global and local information within a region, and an adaptive motion model is adopted to depict the evolution of the object state. The algorithm needs fewer particles to manage the tracking task compared with the general particle filter, and recaptures the object quickly after occlusion occurs. Experiments on two image sequences demonstrate the effectiveness and robustness of the proposed algorithm.     

Fuzzy flexible resource constrained project scheduling based on genetic algorithm

Both fuzzy temporal constraint and flexible resource constraint are considered in project scheduling. Inorder to obtain an optimal schedule, we propose a genetic algorithm integrated with concepts on fuzzy set theory aswell as specialized coding and decoding mechanism. An example demonstrates that the proposed approach can assistthe project managers to obtain the optimal schedule effectively and make the correct decision on skill training before aproject begins.     

半监督模糊聚类及其在羊蹄甲叶片识别的应用

提出了一种半监督模糊聚类算法,给出了它的迭代公式,指出该算法可以有效提高聚类算法的效率．结合Fisher降维方法,从叶片的色调、绿色灰度的18个特征中提取出两个主分量,并采用这些二维数据对羊蹄甲角斑病的受害程度作聚类分析．结果显示,对40张使用了其类别属性参与聚类的叶片,聚类结果与这些属性的一致率达100％,而对于其他数据,一致率也达到95％以上．     

结合优先级的GridSim预留模块研究

GridSim模拟器是网格相关研究中通用的模拟、分析工具.为了进一步丰富GridSim模拟器功能以使其更好地支持算法、性能模拟,提出并实现了在GridSim中引入优先级的预留策略,扩充了GridSim的性能.在优先级预留系统中,对GridSim预留模块中已有的先来先服务（FCFS）预留调度算法进行了改进,将优先级与先来先服务相结合提出了一个新的预留调度算法ARWithPriorityPolicy.实验结果表明,结合优先级的预留调度算法可以有效减少被拒绝的预留请求数目.