Korean-English bilingual videotext recognition for news headline generation based on a split-merge strategy

This paper deals with Korean-English bilingual videotext recognition for news headline generation. Because videotext contains semantic content information, it can be effectively used for understanding videos. Despite its usefulness, it is a challengeable task to apply text recognition technologies to practical video applications because of the computational complexity and recognition accuracy. In this paper, we propose a novel Korean-English bilingual videotext recognition method to overcome the computational complexity as well as achieve comparable recognition accuracy. To recognize both Korean and English characters effectively, the proposed method employs an elaborate split-merge strategy in which the split segments are merged into characters using the recognition scores. Moreover, it avoids unnecessary computation using geometric features such as squareness and internal gap, and thus its computational overhead is remarkably reduced. Therefore, the proposed method is successfully employed in generating news headlines. The effectiveness and efficiency of the proposed method are verified by extensive experiments on a challenging database containing 51,290 text images (176,884 characters).     

Kernel generalized fuzzy c-means clustering with spatial information for image segmentation

The generalized fuzzy c-means clustering algorithm with improved fuzzy partition (GFCM) is a novel modified version of the fuzzy c-means clustering algorithm (FCM). GFCM under appropriate parameters can converge more rapidly than FCM. However, it is found that GFCM is sensitive to noise in gray images. In order to overcome GFCM?s sensitivity to noise in the image, a kernel version of GFCM with spatial information is proposed. In this method, first a term about the spatial constraints derived from the image is introduced into the objective function of GFCM, and then the kernel induced distance is adopted to substitute the Euclidean distance in the new objective function. Experimental results show that the proposed method behaves well in segmentation performance and convergence speed for gray images corrupted by noise.     

认真贯彻落实会议精神切实做好规划计划工作——在全国水利规划计划工作会议上的总结讲话

经过与会代表的共同努力,为期两天的全国水利规划计划工作会议完成了各项议程。我就会议情况作一简要总结。     

旁多水利枢纽碱骨料系统设计

根据碾压式沥青混凝土心墙施工的需要,旁多水利枢纽碱骨料系统设计中进行了工艺流程设计、系统平面布置以及系统技术改造等工作,保证了碱骨料系统的正常运行,碱骨料系统生产的各种成品料满足设计要求。     

基于SOC的串联锂离子电池组均衡策略研究

由于一致性问题的存在,成组电池在可用容量、使用寿命等方面远不及单体电池,电池组的均衡管理对电池的成组使用者有着重要的实际意义.论文就针对锂离子串联电池组的均衡技术进行了研究,首先介绍了电池组一致性问题产生的原因,指出均衡管理的重要意义,分析了锂离子电池组SOC的一致性和基于SOC的均衡策略,详细阐述了基于SOC的均衡技术实现,最终搭建实验平台进行测试,验证了所使用的均衡策略和硬件电路的有效性.     

电机绕组热态绝缘电阻在线检测系统的设计

围绕电机绕组绝缘处理的烘干过程,从软件部分着手,介绍了一种测量绝缘阻值的新型思路.通过对绝缘处理过程中电机绕组绝缘电阻的跟踪检测,记录其绝缘性能变化趋势,用作判断绝缘处理工艺好坏,绝缘材料选型等的依据.     

基于SVM的钢坯号自动识别算法

针对当前钢厂钢坯号现场识别的自动化要求,提供一种基于SVM的钢坯号自动识别算法。该算法通过生产线上视频监控获取钢坯图像,将SVM的非线性分类算法和视感智能检测技术结合实现钢坯智能化监控,对气动、机械等原因引起的断裂、畸变和粗细不均等钢坯号具有较好的识别能力。文章还对该算法与模板匹配方法、BP神经网络方法进行了实验对比,证实该算法对钢坯号识别具有较高的识别率。     

一种内容完整的视频稳定算法

设计了一种基于可靠特征集合匹配的内容完整的视频稳定算法。为了避免运动前景上的特征点参与运动估计,由经典的KLT(Kanade-Lucas-Tomasi)算法提取特征点,而后基于特征有效性判定规则对特征点集合进行有效性验证以提高特征点的可靠性。利用通过验证的特征点对全局运动进行估计,得到精确的运动参数并据此对视频图像进行运动补偿。对于运动补偿造成的无定义区,首先计算当前帧的定义区与相邻帧的光流,以此为向导腐蚀无定义区;利用拼接的方法,填充仍为无定义区的像素。实验结果表明该算法对于前景物体运动具有较好的鲁棒性并能够生成内容完整的稳定视频序列。     

一种新型微机械陀螺仪结构方案设计与仿真

为了解决微机械陀螺仪驱动和检测模态耦合的问题,提出了一种新型的双质量块双线振动结构方案。根据微陀螺的结构和工作原理,对其驱动和检测模态进行了理论分析,给出了简化的动力学方程,并利ANSYS有限元分析软件进行了数值仿真,以验证设计思想的正确性。     

基于模糊理论的非处方药的满意度评价系统

为了帮助顾客从众多对症的非处方药中选出最满意的药品,提出了开发1个基于Web的非处方药满意度评价系统。系统根据顾客提供的典型症状,采用疾病与症状相结合的选药策略,查找出所有对症的非处方药,并以药品安全性、疗效、稳定性、易用性、价格作为评价因素,根据顾客的关注角度和关注程度确定各因素权重,用模型b=W·R对对症药品进行满意度评价,按满意度高低依次推荐。经实际应用,系统推荐准确度在70%以上。