共查询到19条相似文献，搜索用时 625 毫秒
1.
2.
几何约束求解技术是基于约束满足的参数化设计方法中最核心的技术。几何约束求解技术的好坏、性能的优劣直接关系到一个基于约束的参数化设计系统是否优良。遗传量子算法是将量子计算和遗传算法相结合的算法,采用量子位染色体的表示形式。该算法具有量子计算的量子位和量子位的迭加特性,同时加入了量子交换算法,使得进化染色体更好的呈现多样特性。实验表明,将该算法应用于几何约束求解方程中,可以解决欠约束和过约束一致的问题。 相似文献
3.
4.
平面机构是机械产品中应用最广的基本结构型式,机构的运动是在约束的基础上产生的,本文探讨了平面机构中的过约束产生的原因及影响,对平面机构过约束进行定义,并对平面机构的过约束数提出计算公式。 相似文献
5.
6.
屈曲约束支撑是一种新型的耗能减震支撑,在承受拉力和压力时,表现出良好的滞回性能和耗能能力,具有广阔的应用前景。从屈曲约束支撑的基本原理出发,介绍了其在国内外的研究现状及其在工程中的应用。 相似文献
7.
随着现代社会对"智能化"的不断追求,发明一种新的高效的人机交互方式日益成为人们研究的重点方向。本文采用了摄像头捕捉人体动作,由上位机进行图像处理,然后发送指令给下位机的方式来进行体感遥控的新尝试。该系统借助Opencv函数库,对摄像头采集的图像进行三层处理:前端处理实现对运动特征的提取,中端处理实现对手势的准确辨认;末端处理实现对手势意图的准确翻译。实验结果表明,该系统可以实时有效的识别手势并准确发出指令遥控小车运动,实现了人体手势对智能系统如智能小车的体感遥控。该手势控制系统具有可观的应用前景,可以为人们的生活带来更加智能化的体验。 相似文献
8.
9.
10.
本文应用约束理论和生产仿真方法,对传动轴生产线进行优化。运用Witness仿真软件建立了传动轴生产物流系统仿真模型,并通过对模型的研究分析,找到了系统中的瓶颈所在;最后采用约束理论对模型持续改进,找出了消除系统瓶颈的方法,并提出一些实际的管理建议。 相似文献
11.
随着计算机人机交互技术的发展,手势作为一种自然而直观的人际交流模式,手势识别也是实现新一代人机交互所不可缺少的一项关键技术。现代深度相机如Kinect、TOF等飞速发展,也促使人们对于基于深度相机的手势识别系统研究和应用的重视。文章主要介绍基于深度相机的手势识别系统方法及应用,讨论骨骼、深度图像等信息数据在识别系统中的开发和应用,最后简介深度信息的应用发展前景。 相似文献
12.
本文设计了一种可应用于老年人跌倒检测的多传感器数据无线传输系统,该系统由无线传感器节点、接收数据的基站和处理数据的上位机组成。系统主要采用串口中断的方式进行数据的实时接收和处理,并且可应用于老年人跌倒过程中加速度、角速度及姿态角的无线采集。经测试,该系统节点和上位机之间的可靠性高、实时性好,对老年人的安全保障具有很好的应用价值。 相似文献
13.
自标定方法可以得到相机系统的内部参数和/或外部参数,而不对场景结构作假设或作很少假设。本文提出一种新的自标定方法,用于投影相机建模系统。一个关键点在于投影仪既可以作为主动光源使用,也可以当做一个虚拟相机使用。首先,使用结构光方法从不同角度投影并拍摄一组图像。然后,通过将空间约束关系转换为内参约束,完成对系统的自标定。最后,利用估计的参数进行3D建模。实验结果验证了本文方法的可行性。 相似文献
14.
Donald L. Margolis 《Journal of The Franklin Institute》1983,315(4):225-238
A procedure is developed which uses bond graph modeling and a digital computer to determine if semi-active control can provide a suitable performance in an application where totally active control is considered. The application areas principally addressed are those in which the disturbance inputs to the system are of zero mean, i.e. shock and vibration control.The procedure is developed through examples and then generalized to systems of high order and large complexity. The procedure consists basically of designing a control strategy suitable for totally active control and then enforcing a passivity constraint on the actuating device. Experience has shown that semi-active control approaches that of totally active control in most vibration isolation applications. 相似文献
15.
基于HOG特征和SVM的手势识别 总被引：3，自引：0，他引：3
手势识别具有比较丰富的应用领域,而领域的变化也会对识别的结果产牛较大的影响.在诸多手势识别方法中,基于计算机视觉的识别技术对环境最敏感,例如光线亮暗、复杂背景、手势旋转等.为克服环境带来的影响,借鉴了近年来在目标检测研究中应用较多的梯度方向直方图技术,将其用于手势识别中.这种方法使得基于视觉的手势识别对环境不再敏感,得... 相似文献
16.
《Journal of The Franklin Institute》2022,359(7):2810-2832
This article studies the neuroadaptive full-state constraints control problem for a class of electromagnetic active suspension systems (EASSs). First, the original constraint system with arbitrary initial values is transformed into a new constraint system with zero initial values by using the shift function method. Then, a new kind of cotangent-type nonlinear state-dependent transition function is constructed to solve the asymmetric time-varying full-state constraints control problem, which eliminates the limitation that the virtual controller needs to satisfy the feasibility conditions in the previous full-state constraints control based on Barrier Lyapunov Function (BLF) and Integral BLF. Furthermore, the neural networks (NNs) are used as nonlinear function approximators to deal with the unknown nonlinear dynamics of EASSs, a neuroadaptive full-state constraints control design method is proposed under the Backstepping recursive design framework. Finally, the effectiveness of the proposed method is verified by a simulation of EASSs with road disturbances. 相似文献
17.
日本人口结构的特点为人口减少及超老龄化。日本现有的经济体系是以人口增长为前提,因此人口结构与现有的经济体系之间存在很深的矛盾,对经济持续发展带来深刻影响。对经济发展的影响可以概括为：第一,人口结构变化长期制约经济发展;第二,人口结构变化使消费需求萎缩、储蓄率下降、影响长期投资;第三,人口结构变化使劳动力不足问题突出。如何解决人口减少及超老龄化问题是日本长期的课题。 相似文献
18.
Sparsity regularized least squares are very popular for the solution of the underdetermined linear inverse problem. One of the recent progress is that structural information is incorporated to the sparse signal recovery for compressed sensing. Sparse group signal model, which is also called block-sparse signal, is one example in this way. In this paper, the internal structure of each group is further defined to get the globally sparse and locally dense group signal model. It assumes that most of the entries in the active groups are nonzero. To estimate this newly defined signal, minimization of the ?1 norm of the total variation is incorporated to the group Lasso which is the combination of a sparsity constraint and a data fitting constraint. The newly proposed optimization model is called globally sparse and locally dense group Lasso. The added total variation based constraint can encourage local dense distribution in each group. Theoretical analysis is performed to give a class of theoretical sufficient conditions to guarantee successful recovery. Simulations demonstrate the proposed method?s performance gains against Lasso and group Lasso. 相似文献
19.
Farhad Assadian 《Journal of The Franklin Institute》2002,339(3):347-360
The performance enhancement of dynamic systems is accomplished by the application of active control components. Control strategies are derived to accomplish the task. Among the various control strategies, those that are designed to minimize a specified cost function while satisfying the necessary system constraints are referred to as optimal controllers. An important constraint is the amount of power and energy consumed by the control device. In this paper, the effect of optimal control strategies on the power and energy requirement of control devices is investigated. 相似文献