中英规范有关建筑物防雷接地做法的比较

结合国家标准GB 50057-2010《建筑物防雷设计规范》和BS规范BS EN 62305-2006《Protection against lightning》,介绍了两本规范中建筑物防雷装置做法,简述了两种规范中有关建筑物外部防雷(接闪器、引下线、接地装置)、内部防雷以及防雷击电磁脉冲的有关规范条文规定和比较。     

一种新型不同容量逆变器并联方法

传统的逆变器并联方法一般只适用于功率容量一致的逆变器,针对不同容量逆变器的并联方法较少。本文在对几种不同容量逆变器并联方法分析研究的基础上,提出了一种新型的逆变器并联方法。该方法采用电压型逆变器和电流型逆变器混合并联的方式,利用电压型逆变器提供电压基准,电流型逆变器输出电流可以稳定电网电压,实现并联。该方法算法简单,适合大部分的逆变器并联场合,经过仿真和实验证明了其有效性和可行性。     

Data Fusion-based resilient control system under DoS attacks: A game theoretic approach

In this paper, the resilient control under the Denial-of-Service (DoS) attack is rebuilt within the framework of Joint Directors of Laboratories (JDL) data fusion model. The JDL data fusion process is characterized by the so-called Game-in-Game approach, where decisions are made at different layers. The interactions between different JDL levels are considered which take the form of Packet Delivery Rate of the communication channel. Some criterions to judge whether the cyber defense system is able to protect the underlying control system is provided. Finally, a numerical example is proposed to verify the validity of the proposed method.     

面向能力培养的嵌入式系统课程群建设研究

能力型、创新型人才是社会发展的需求,也是高等教育的培养目标。为了培养具备能力和创新素质的嵌入式系统方面的人才,本文进行了嵌入式系统课程群的建设,研究了相应的教学方法,从理论和实践上培养学生的能力,培养创新素质。     

基于模糊决策的风力发电产业评价研究

根据风力发电技术产业的特点,构建改进层次分析与模糊一致矩阵相结合的方案决策数学模型,该模型既可以减少确定判断矩阵的盲目性,又可以避开评价体系中各等级间的隶属度确定问题,使评价结果更加可靠,适合于信息尚不完整、受主观因素影响较强的评价。实例验证了这一模型的合理性、可行性和有效性,具有实用价值。     

Poisson image fusion based on Markov random field fusion model

In this paper, we present a gradient domain image fusion framework based on the Markov Random Field (MRF) fusion model. In this framework, the salient structures of the input images are fused in the gradient domain, then the final fused image is reconstructed by solving a Poisson equation which forces the gradients of the fused image to be close to the fused gradients. To fuse the structures in the gradient domain, an effective MRF-based fusion model is designed based on both the per-pixel fusion rule defined by the local saliency and also the smoothness constraints over the fusion weights, which is optimized by graph cut algorithm. This MRF-based fusion model enables the accurate estimation of region-based fusion weights for the salient objects or structures. We apply this method to the applications of multi-sensor image fusion, including infrared and visible image fusion, multi-focus image fusion and medical image fusion. Extensive experiments and comparisons show that the proposed fusion model is able to better fuse the multi-sensor images and produces high-quality fusion results compared with the other state-of-the-art methods.