一种自动提取中国书画作品中印章图像的方法

在分析了中国书画印章图像特点的基础上,针对基于内容的书画作品图像检索领域中存在的"语义鸿沟"问题,提出了一种自动提取中国书画作品中印章图像的方法,并设计实现了该算法.通过对提取效果进行分析,证明该方法有较高提取率,这对书画作品中图像语义和特定图像鉴别的研究有重要意义.     

一种生产线架构中的工作流过程定义复用方法

针对工作流管理系统在实际应用中面临的过程定义低效、复杂的问题,借鉴软件复用的思想,提出了一种生产线架构下的工作流过程定义复用方法.该方法建立在领域业务本体和工作流模板这两类可复用资产之上,尝试建立特定领域工作流过程定义的复用机制,以提高过程定义的效率.着重探讨了可复用资产的构建、描述和检索等问题.介绍了基于复用的工作流过程定义方法,并开发了相应的实用工具以验证该方法的有效性.     

基于人工免疫的多维关联规则挖掘及其应用研究

关联规则挖掘是一个重要的数据挖掘问题.目前,关于单维关联规则的成果已经比较成熟,但是对于多维关联规则问题因为存在显著的组合爆炸问题,至今尚未完美解决.提出了一种基于人工免疫的多维关联规则挖掘算法.算法充分利用了人工免疫的记忆特性,把挖掘的关联规则存入记忆库,加快了多维关联规则的挖掘速度.结果表明,该算法应用于煤与瓦斯突出预测中,具有较好的鲁棒性,能快速、有效地进行全局优化搜索,在多维关联规则的挖掘中具有可行性和高效性.     

以目标为导向的时序图规划算法的研究

本文提出了一种从目标集扩张时序规划图的新算法。此算法与现有算法不同。采用逆向扩张、正向搜索的策略：由于扩张保留了关于目标的信息。实现了动作方案的完全量化。在搜索阶段。只搜索相关可用动作的交叉点,减少了搜索代价,极大地提高了搜索效率。     

柔性变形机翼后缘拓扑优化设计

为了实现机翼表面的自适应变形和结构轻量化,将柔件机构引入到机翼后缘形状变化结构设计中.应用连续体拓扑优化技术,以实际位移与目标位移之间的偏差为目标函数,材料用量为约束,建立SIMP(solid isotropic material with penalization)密度刚度插值模型.采用Matlab编程对柔性机构进行了优化设计,并对不同参数下的优化结果进行了讨论,最后进行机构的仿真分析.研究结果显示该柔性机构能够实现预期的形状变化,证明了方法的正确性,为柔性机翼设计提供理论基础.     

某型地空导弹半实物仿真训练评估系统接口电路设计

在开发某型地空导弹半实物仿真训练模拟系统时,实现系统硬件结构面临的主要难点之一是如何设计、实现其评估子系统的硬件接口电路,它主要用于为评估子系统采集需要的定量数据;评估子系统通过分析采集到的数据,来判断操作动作的准确性;结合某型地空导弹半实物仿真模拟训练系统的开发,以数字I/O卡PCL722为核心器件设计了该子系统的接口电路;运行结果表明,基于PCL722卡的接口电路符合评估子系统的要求,是可行、有效的。     

BP神经网络隐层单元数的确定方法及实例

针对BP神经网络隐层单元数不易确定的问题,提出一种在传统的经验公式基础上快速确定隐层单元数的方法。该方法首先借助经验公式确定隐层单元数的取值范围,然后将其扩大,在这个扩大的范围内寻找最优值。以BP神经网络预测交通流量为例,解释说明了具体的步骤,以及网络模型的隐层结构对模型仿真精度的影响。结果表明,采用该方法可快速决定隐层单元数,在实例中采用16个隐层单元数为最佳。     

Moving‐picture response time (MPRT) of LCDs for the oblique viewing direction

Abstract— The dynamic performance of displays is an important characteristic for multimedia applications. Motion‐picture response time (MPRT) has been used as an indicator of the dynamic performance of LCDs. This paper describes a comprehensive method of MPRT evaluation for the oblique viewing direction. By using a tilted camera configuration, the angular dependency of MPRT is investigated for the condition that the horizontally scrolling patterns are observed from the vertical direction. For each gray‐to‐gray transition, distinct changes in MPRT and the luminance profile of blur are observed.     

A novel fault-tolerant execution model by using of mobile agents

The exponential expansion of the Internet and the widespread popularity of the World Wide Web give a challenge to experts on reliable and secure system design, e.g., e-economy applications. New paradigms are on demand and mobile agent technology is one of the features. In this paper, we propose a fault-tolerance execution model by using of mobile agents, for the purpose of consistent and correct performance with a required function under stated conditions for a specified period of time. Failures are classified into two classes based on their intrinsic different effects on mobile agents. For each kind of failure, a specified handling method is adopted. The introduction of exceptional handling method allows performance improvements during mobile agents’ execution. The behaviors of mobile agents are statistically analyzed through several key parameters, including the migration time from node to node, the life expectancy of mobile agents, and the population distribution of mobile agents, to evaluate the performance of our model. The analytical results give new theoretical insights to the fault-tolerant execution of mobile agents and show that our model outperforms the existing fault-tolerant models. Our model provides an effective way to improve the reliability of computer systems.     

Intelligent Optimal-Setting Control for Grinding Circuits of Mineral Processing Process

During the operation of a grinding circuit (GC) in mineral processing plant the main purpose of control and optimal operation is to control the product quality index, namely the product particle size, into its technically desired ranges. Moreover, the grinding production rate needs to be maximized. However, due to the complex dynamic characteristics between the above two indices and the control loops, such control objectives are difficult to achieve using existing control methods. The complexity is reflected by the existence of process heavy nonlinearities, strong coupling and large time variations. As a result, the lower level loop control with human supervision is still widely used in practice. However, since the setpoints to the involved control loops cannot be accurately adjusted under the variations of the boundary conditions, the manual setpoints control cannot ensure that the actual production indices meet with technical requirements all the time. In this paper, an intelligent optimal-setting control (IOSC) approach is developed for a typical two-stage GC so as to optimize the production indices by auto-adjusting on line the setpoints of the control loops in response to the changes in boundary conditions. This IOSC approach integrates case-based reasoning (CBR) pre-setting controlling, neural network (NN)-based soft-sensor and fuzzy adjusting into one efficient control model. Although each control element is well known, their innovative combination can generate better and more reliable performance. Both industrial experiments and applications show the validity and effectiveness of the proposed IOSC approach and its bright application foreground in industrial processes with similar features.