一种基于TV模型的自适应图像修复方法

图像修复是数字图像处理的重要内容，可用于被损坏的图像和视频修复、视频文字去除以及视频错误隐藏等。基于TV模型的修复方法有较好的恢复效果，但对参数的选取比较敏感，且运算量较大。本文提出了一种基于TV模型的自适应图像修复方法，与原方法相比可以有效提高该算法的稳健性，并能显著的减少运算时间。     

高炉与风机配置的优化

根据高炉风机配置的具体情况 ,为充分发挥大风机生产优势 ,建立了适宜的送风制度及装料制度 ,对利旧风机采取了自动防喘振控制、高压水阻软启动的措施 ,风机仪表采用集散控制 ,并优化上料系统 ,提高了高炉上料能力。一系列优化方案保证了高炉稳定、安全、顺行 ,1号、2号高炉利用系数分别由 3 .3 64、3 .43 2t/m3.d提高到 3 .917和 3 .767t/m3.d。     

智能控制的理论和方法

本文简要地回顾了智能控制的发展过程，讨论了智能控制的几个主要理论与方法，最后对智能控制的发展提出了作者的看法。     

Application of the recurrent multilayer perceptron in modelingcomplex process dynamics

A nonlinear dynamic model is developed for a process system, namely a heat exchanger, using the recurrent multilayer perceptron network as the underlying model structure. The perceptron is a dynamic neural network, which appears effective in the input-output modeling of complex process systems. Dynamic gradient descent learning is used to train the recurrent multilayer perceptron, resulting in an order of magnitude improvement in convergence speed over a static learning algorithm used to train the same network. In developing the empirical process model the effects of actuator, process, and sensor noise on the training and testing sets are investigated. Learning and prediction both appear very effective, despite the presence of training and testing set noise, respectively. The recurrent multilayer perceptron appears to learn the deterministic part of a stochastic training set, and it predicts approximately a moving average response of various testing sets. Extensive model validation studies with signals that are encountered in the operation of the process system modeled, that is steps and ramps, indicate that the empirical model can substantially generalize operational transients, including accurate prediction of instabilities not in the training set. However, the accuracy of the model beyond these operational transients has not been investigated. Furthermore, online learning is necessary during some transients and for tracking slowly varying process dynamics. Neural networks based empirical models in some cases appear to provide a serious alternative to first principles models.     

基于Web的中小型企业销售管理信息系统的设计与应用

针对中小型企业销售管理的现状，利用J2EE架构技术设计了面向中小型企业的销售管理信息系统，该系统具有良好的跨平台性和可移植性，并且经过测试运行，达到了预期的效果。     

浅谈小湾电站左岸低缆混凝土工程项目风险管理

通过对小湾电站左岸低缆项目实行项目风险管理的方法及成果介绍,指出了在工程领域对项目实行风险管理是一种重要的管理手段和方法,值得推广和研究.     

倾斜煤层工作面单体防倒组合支架的研究与应用

介绍专为倾斜煤层采煤工作面研制的单体防倒组合支架及其应用效果。实践表明,它能有效地解决大倾角工作面单体支护的一些安全问题。     

Minimum-Energy Translational Trajectory Generation for Differential-Driven Wheeled Mobile Robots

Mobile robots can be used in many applications, such as exploration, search and rescue, reconnaissance, security, and cleaning. Mobile robots usually carry batteries as their energy source and their operational time is restricted by the finite energy available from the batteries. Therefore, energy constraints are critical to the service time of mobile robots. This paper investigates the minimum-energy control problem for translational trajectory generation, which minimizes the energy drawn from the batteries. Optimal control theory is used to find the optimal velocity trajectory in analytic form. To demonstrate energy efficiency obtainable, we performed simulations of minimum-energy velocity control and compared the results with loss-minimization control and energy-optimal trapezoidal velocity profiles. Simulation results showed that significant energy savings can be achieved, of up to 9% compared with loss-minimization control and up to 10% compared with energy-optimal trapezoidal velocity profile. We also performed an actual robot experiment using Pioneer 3-AT platform to show the validity of the proposed minimum-energy velocity control. The experimental results revealed that the proposed minimum-energy velocity control can save the battery energy up to 10% compared with loss-minimization control. Categories (3): Robot control, (5): RobotMotion Planning