通货膨胀时期企业的筹资决策

通过对影响企业筹资决策的因素在通胀时期发生变化情况的分析，推导出共变原理，并进一步得出企业存在通货膨胀时期筹资应循环的规律。     

基于利益的Agent理性研究

Agent间的合作和竞争一直是多Agent研究的热点之一。该文充分考虑到了利益在Agent的理性选择中所起的重要作用,利用引进利益算子和时间信息的BLH系统定义了两种长期利益,并讨论了混合长期利益和当前利益的Agent社会中不同道德理性Agent之间的合作关系。为了避免采用传统的可能世界语义所造成的一些诸如无法定义多重算子联用的缺陷,BLH系统采用了映射语义。     

基于Agent的个性化信息服务系统的开发与设计

文章针对现有搜索引擎技术的不足,提出了一个个性化信息服务系统开发模型,并给出了该模型的工作原理,论述了该模型所采用的关键技术。     

基于项目集加权的增量关联规则算法研究

针对最小支持度,最小置信度不变的情况下,新增数据库db时的关联规则更新问题,进行了分析和研究。考虑到新增数据库的新颖性、以及生成规则的有趣性等问题,本文提出了基于项目集加权的增量更新算法,并分析了其可行性。     

在课外活动中培养学生学生物的兴趣

论述了如何通过开展生物游艺活动、生物摄影讲座与实践、植物蜡叶标本的制作来培养学生学习生物的兴趣；利用科技夏令营活动，培养学生学习兴趣并提高学生动手能力。课外活动不仅培养学生学习生物的兴趣，而且培养学生的分析思维能力和创新发明能力。     

基础大体积砼施工中的温度控制

本文主要介绍了基础大体积砼在施工中的温度控制，以某工程基础底板砼浇筑的应用实例，根据工程概况和结构特点，介绍了温度控制在大体积砼施工中的应用。     

大学英语听力教学小议

听是一项重要的语言技能，也是衡量一个人综合语言能力的重要指标。就如何提高英语听力，可以从三个方面着手，首先是培养学生对听力学习的自信心和兴趣，从而提高学习兴趣；提高英语听力，掌握必要的语音知识是关键；最后还应注意听力解题技巧。     

A novel video abstraction method based on fast clustering of the regions of interest in key frames

Online video nowadays has become one of the top activities for users and has become easy to access. In the meantime, how to manage such huge amount of video data and retrieve them efficiently has become a big issue. In this article, we propose a novel method for video abstraction based on fast clustering of the regions of interest (ROIs). Firstly, the key-frames in each shot are extracted using the average histogram algorithm. Secondly, the saliency and edge maps are generated from each key-frame. According to these two maps, the key points for the visual attention model can be determined. Meanwhile, in order to expand the regions surrounding the key points, several thresholds are calculated from the corresponding key-frame. Thirdly, based on the key points and thresholds, several regions of interest are expanded and thus the main content in each frame is obtained. Finally, the fast clustering method is performed on the key frames by utilizing their ROIs. The performance and effectiveness of the proposed video abstraction algorithm is demonstrated by several experimental results.     

Improved quadtree image segmentation approach to region information

Images are full of information and most often, little information is desired for subsequent processing. Hence, region of interest has key importance in image processing. Quadtree image segmentation has been widely used in many image processing applications to locate the region of interest for further processing. There are also variable block-size image coding techniques to effectively reduce the number of transmitted parts. This paper presents quadtree partition technique as a pre-processing step in image processing to determine what part should be more heterogeneous than the others. It also introduces an idea to solve the problem of squared images. Finally, proposed approach is implemented and analysed. The simulation of the Matlab code of the quadtree is represented by all algorithms and the figures. Thus, achieved results are promising in the state of the art.