视觉测量中多光学靶点亮度自适应控制

提出了一种面向大视场高精度视觉测量的多红外目标靶点（红外LED）亮度自适应控制方法。以微控制器PIC16F873A和LED驱动芯片MAX6964作为核心器件,设计了可满足大空间范围内靶点亮度控制需求的多目标靶点控制驱动器。为了使LED在近距测量时的调节精度和远近距离测量时的发光亮度都能满足要求,根据MAX6964输出特点设计了PWM信号输出电路,并采用推挽电路驱动LED。实验证明,目标靶点在CCD相机上成像光斑稳定一致。     

A Polynomial Algorithm for Computing Elementary Siphons in a Class of Petri Nets

A set of elementary siphons plays a key role in the development of deadlock prevention policies for automated manufacturing systems. This paper addresses the computation problem for elementary siphons in a subclass of Petri nets which are basic systems of simple sequential processes with resources (BS³PR) and can model many automated manufacturing systems. An algorithm for enumerating elementary siphons is established by the one‐to‐one relationship between maximal perfect resource‐transition circuits (MPCs) and strict minimal siphons. A set of MPCs is first computed, followed by a set of elementary siphons in a BS³PR. The presented algorithm is proved to have polynomial‐time complexity. An example is used to illustrate the algorithm.     

Optimal Path Problems with Second-Order Stochastic Dominance Constraints

This paper studies optimal path problems integrated with the concept of second order stochastic dominance. These problems arise from applications where travelers are concerned with the trade off between the risks associated with random travel time and other travel costs. Risk-averse behavior is embedded by requiring the random travel times on the optimal paths to stochastically dominate that on a benchmark path in the second order. A general linear operating cost is introduced to combine link- and path-based costs. The latter, which is the focus of the paper, is employed to address schedule costs pertinent to late and early arrival. An equivalent integer program to the problem is constructed by transforming the stochastic dominance constraint into a finite number of linear constraints. The problem is solved using both off-the-shelf solvers and specialized algorithms based on dynamic programming (DP). Although neither approach ensures satisfactory performance for general large-scale problems, the numerical experiments indicate that the DP-based approach provides a computationally feasible option to solve medium-size instances (networks with several thousand links) when correlations among random link travel times can be ignored.     

Weighted principal component extraction with genetic algorithms

Pattern recognition techniques have been widely used in a variety of scientific disciplines including computer vision, artificial intelligence, biology, and so forth. Although many methods present satisfactory performances, they still have several weak points, thus leaving a lot of space for further improvements. In this paper, we propose two performance-driven subspace learning methods by extending the principal component analysis (PCA) and the kernel PCA (KPCA). Both methods adopt a common structure where genetic algorithms are employed to pursue optimal subspaces. Because the proposed feature extractors aim at achieving high classification accuracy, enhanced generalization ability can be expected. Extensive experiments are designed to evaluate the effectiveness of the proposed algorithms in real-world problems including object recognition and a number of machine learning tasks. Comparative studies with other state-of-the-art techniques show that the methods in this paper are capable of enhancing generalization ability for pattern recognition systems.     

38毫米催泪子母弹增程设计及弹道仿真

在子母弹射程优化控制问题的研究中,射程是武器系统重要战术性能指标,增加射程可有效提高武器作战性能.在分析子母弹射程、弹丸初速及装药量三者关系的基础上,针对38毫米催泪子母弹发射器出口速度较低导致的实际射程较近(＜100米)及无法达到预期战术技术指标的问题.由于传统发射器出口初速度低,性能差.为此提出用数字仿真的方法,在MATLAB上进行弹道模型仿真,仿真出子母弹的弹道曲线.仿真结果表明,在保持药室容积不变的情况下,增加装药量,可提高子母弹初速,进而增大射程.通过计算机仿真射弹过程中的大量随机因素,相当于在计算机上打靶,所得结果具有较高的可信度和精度.以某型38毫米催泪子母弹为实例,结果表明,方法精确、简单实用,可为子母弹射程优化设计提供参考.     

动载作用下机场刚性道面模态参数识别研究

关于机场道面刚性结构参数识别问题,研究移动荷载作用下机场刚性道面识别系统中,传统弹性、粘弹性解析识别精度的不足,建立了移动荷载作用下弹性支承边界、弹性嵌固边界和实际边界条件下的道面板的运动方程,提出了一种基于变分法、功互等定理的Kelvin粘弹性地基上道面板系统的识别方法。同时根据最小二乘法准则进行反演,拟合实测动挠度和理论动挠度,从而识别出地基反应模量K。经仿真与实测结果可知,改进方法在保证识别速度的前提下可以显著提高识别精度,具有很好的应用价值,为机场刚性道面的设计、参数识别和质量评价等提供理论依据。     

浅谈GPS导航系统在油田运输管理中的应用

我油田地处华北东部,随着油田不断发展,对外承包业务愈来愈多。道路营运车辆也日益增多,营运范围也逐渐扩大,给道路运输经营管理与车辆合理调度工作提出了新的要求,而全球卫星定位系统的发展为道路运输管理的有效指挥、协调控制和管理提供了技术支持。本文结合GPS系统的原理,探讨GPS系统在油田运输管理中的应用。     

巨磁电阻材料的研究与应用

介绍了一种新型的磁性功能材料－巨磁电阻材料，综述了其研究进展情况。并就它在巨磁电阻传感器、高密度磁记录读出磁头、巨磁电阻随机存储器以及自旋晶体管等磁电子元器件上的进行了论述。     

三种检测方法对比水中莠去津残留研究

介绍三种方法检测水中莠去津残留,水样经过二氯甲烷液液萃取后,可分别采用液相色谱法、气相色谱法(NPD检测器、ECD检测器)三种方法进行检测,分别对比了三种色谱分析方法的实验条件和实验方法及如何制作标准曲线,并进行了精密度、回收率及检出限实验.结果表明,三种方法均可行,均适用于生活水和水源水中莠去津的检测.     

工匠精神:面向未来我国创新创业教育精神内涵

"工匠精神"是创新创业教育的重要精神内涵,这要求未来的人才不仅需掌握行业知识,还需是"专才",深深扎根于专业技能这片沃土上,将自己的光和热贡献给行业发展及技能创新研究过程中,使我国市场经济得以稳健发展,工匠精神价值可见一斑.通过分析工匠精神在面向未来我国创新创业教育中的内涵意蕴,以期提高我国"双创"人才的培育质量.