Vehicle license plate character segmentation

Vehicle license plate (VLP) character segmentation is an important part of the vehicle license plate recognition system (VLPRS). This paper proposes a least square method (LSM) to treat horizontal tilt and vertical tilt in VLP images. Auxiliary lines are added into the image (or the tilt-corrected image) to make the separated parts of each Chinese character to be an interconnected region. The noise regions will be eliminated after two fusing images are merged according to the minimum principle of gray values.Then, the characters are segmented by projection method (PM) and the final character images are obtained. The experimental results show that this method features fast processing and good performance in segmentation.     

不完备序信息系统的证据特征及属性约简

不完备有序信息系统粗糙集模型是经典粗糙集的扩展,利用优势关系代替等价关系能很好地处理含未知属性值和带有偏好关系的数据。研究了不完备序信息系统的证据特征,给出了不完备序上、下近似算子,并证明了二者分别与证据理论中的似然函数、信任函数相对应。进而提出了不完备序信息系统的[R]约简、信任约简以及似然约简的概念,探讨了它们之间的一致性,证明了[R]约简与信任约简是等价的,均是保持信任函数和的最小属性集合,得出了似然约简协调集必为[R]约简协调集的结论。     

Robust Control Strategy for the Speed Control of Brushless DC Motor

Brushless DC motor (BLDCM) speed servo system is multivariable, nonlinear and strong coupling. The parameter variation, the cogging torque and the load disturbance easily influence its performance. Therefore, it is difficult to achieve superior performance by using the conventional PID controller. To solve the deficiency, the paper represents the algorithm of active-disturbance rejection control (ADRC) based on back-propagation (BP) neural network. The ADRC is independent on accurate system and its extended-state observer can estimate the disturbance of the system accurately. However, the parameters of Nonlinear Feedback (NF) in ADRC are difficult to obtain. So in this paper, these parameters are self-turned by the BP neural network. The simulation and experiment results indicate that the ADRC based on BP neural network can improve the performances of the servo system in rapidity, control accuracy, adaptability and robustness.     

韶钢焦化工艺能源利用模型开发与能流优化分析

介绍了焦化工艺能源利用模型开发情况与能流结构优化分析.为了能够全面掌握焦化生产过程能量利用的情况,通过建立数学模型与开发分析软件计算焦化生产的物料、能量和的平衡,尤其是通过通过平衡计算,了解工艺过程或设备中能量品味的变化过程,并从能量品味的变化过程角度,评价能量的利用价值,研究改善工艺过程或设备热量利用从而降低能耗的途径,分析工序的新的节能潜力与方向,并结合工艺装备实际,研究分析节能技术方案,为焦化工艺的节能改造提供依据.