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NET technology structure dynamic webpage in realizing in system, is it use personnel can choose to analyze the function through interface conveniently to make, the analysis result trends show with the chart; And has fully utilized treatment technology of running side by side, has considered the loss which sets up the index and resource proportionally, make systematic efficiency be optimized. Pass the imperial examinations at the provincial level several systematic example of practical application in thesis, if customer state analysis, income analysis, conversation situation analysis, is it transfer to situation analysis, rival analyze etc. to breathe out, having proved the system through the actual inspection of market analysis personnel, the analysis conclusion drawn from it is accurate, can be believed, and because of is it with chart, it makes to be very clear to analyze person, can catch the focal point easily to mix, have convincingness even more as to policy-making level of enterprises. System produce high benefit relatively already at present, can is it grasp message, consumption situation of customer in real time to realize easily through it, turn from enterprise policymaker to network analysis monthly demand of conclusion into and require that analyses rivals situation every day, draw occupation rate of market key index can know system become market important basis source of decision already, so, the realization of this project has greater actual meaning.

NET技术构建动态网页,使应用人员能方便地通过界面选择分析功能,分析结果动态以图表显示;并充分利用了并行处理技术,对建立索引与资源的损耗均衡考虑,使系统效率得以优化。3、在论文中举了几个系统实际应用的例子,如客户状态分析、收益分析、通话情况分析、呼转情况分析、竞争对手分析等,证明系统经过了市场分析人员的实际检验,从中得出的分析结论准确、可信,并由于配以图表,使分析人员一目了然,可轻易抓住重点,对企业决策层而言则更具说服力。4、系统目前已产生了较高的效益,通过它能轻易实现实时掌握客户的信息、消费情况,从企业决策者对系统分析结论的月需求变为要求每日分析竞争对手情况,得出市场占有率等关键指标可知系统已成为市场决策的重要依据来源,因此,本项目的实现具有较大的实际意义。

It is the first important step in video analysis and will directly affects the effectiveness of indexing Shot boundary detection is one of our major research interests and we will tackle the following existing problems the ambiguity between gradual change and camera motion, the discontinuity during gradual change, false detection caused by illumination variation and flashlight, automatic threshold selection Firstly, we discuss shot boundary detection in non-compressed domain In chapter 2, we compare some of the commonly used detection methods which are based on frame difference and point out that single feature will not generate good results As a conclusion, we use fuzzy logic to combine multiple features Presently, most frame difference based shot boundary detection algorithms rely on threshold and hence the selection of such thresholds will greatly affect the performance of boundary detection We propose a membership function to define frame difference and calculate the membership with self adaptation according to the statistic distribution of frame differences to satisfy different type of video clips Experiments show that the proposed fuzzy shot boundary detection algorithm can be used with different video types and has a high detection precision and recall In chapter 3, we discuss model-based shot boundary detection algorithms regarding chromatic and spatial editing effects such as fade-in, fade-out, dissolve and wipe Various parameters are proposed to better describe the characteristics of each editing type.

镜头边界的检测是把视频自动地分割为一个个镜头,作为基本的索引单元,因此它是视频分析重要的第一步,直接影响到视频检索的成败。镜头边界的检测是本文研究的重点之一。目前镜头边界检测算法主要存在以下问题:渐变与镜头运动难以区别;渐变过程中的不连续与停顿、光照条件的变化及闪光灯等特殊情况会引起误检测;自动选择阈值比较困难等。本文首先针对非压缩域视频进行了镜头边界检测的研究。在第二章中我们采用了比较流行的基于帧间差的方法。在比较各种帧间差计算方法的基础上,指出使用单一的特征难以取得很好的检测效果,提出用模糊逻辑综合使用各种特征。目前大多数基于帧间差的镜头边界检测算法都采用阈值法进行镜头转换的判别。阈值选择的误差对检测性能有较大的影响,本文提出用隶属度函数定义帧间差较大、中等较大和较小等概念,并根据帧间差的统计分布自适应地确定隶属度,以适应不同类型的视频片断。实验结果表明这种基于糊逻辑的镜头边界检测算法可以适应不同的视频,并具有较高的检测精度和检出率。在第三章中采用基于模型的方法进行镜头渐变的检测,研究了淡入/淡出、慢转换和扫换的模型。

From ORACLE system structure, the paper organizes and allocates memory with SGA and PGA. The key of performance tuning is to confirm the hit ratio of system. The ORACLE system's store structure includes physicial structure and logical structure. So , it is the basis to decide the size of tablespace, data file and control file. The database object includes index, cluster, views and store procedure etc., the object have important effect on database. Lastly, it contrasts the ways of Based on Cost and Based on Rule and organizes the SQL under SQL/PLUS system environment.

本文从目前的医院信息系统现状分析,提出系统性能评价指标,并从ORACLE体系结构出发,对内存区中的系统全局区及程序全局区进行合理的组织与分配,确定合理的命中率,这是性能优化的关键;ORACLE存储结构采用的互为关系的逻辑存储结构与物理存储结构,故确定其中的表空间、数据文件、控制文件的大小是性能优化的基础;数据库对象结构中的索引、簇、视图、存储过程等对其进行合理的设计,对大型数据库的性能有着重要的影响;最后便是在SQL/PLUS境下,通过与基于代价与基于规则的方法进行比较,对合理高效的SQL语句进行组织,并列出优化后系统性能的情况。

From ORACLE system structure, the paper organizes and allocates memory with SGA and PGA. The key of performance tuning is to confirm the hit ratio of system. The ORACLE systems store structure includes physicial structure and logical structure. So , it is the basis to decide the size of tablespace, data file and control file. The database object includes index, cluster, views and store procedure etc., the object have important effect on database. Lastly, it contrasts the ways of Based on Cost and Based on Rule and organizes the SQL under SQL/PLUS system environment.

本文从目前的医院信息系统现状分析,提出系统性能评价指标,并从ORACLE体系结构出发,对内存区中的系统全局区及程序全局区进行合理的组织与分配,确定合理的命中率,这是性能优化的关键;ORACLE存储结构采用的互为关系的逻辑存储结构与物理存储结构,故确定其中的表空间、数据文件、控制文件的大小是性能优化的基础;数据库对象结构中的索引、簇、视图、存储过程等对其进行合理的设计,对大型数据库的性能有着重要的影响;最后便是在SQL/PLUS境下,通过与基于代价与基于规则的方法进行比较,对合理高效的SQL语句进行组织,并列出优化后系统性能的情况。

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推荐网络例句

On the other hand, the more important thing is because the urban housing is a kind of heterogeneity products.

另一方面,更重要的是由于城市住房是一种异质性产品。

Climate histogram is the fall that collects place measure calm value, cent serves as cross axle for a few equal interval, the area that the frequency that the value appears according to place is accumulated and becomes will be determined inside each interval, discharge the graph that rise with post, also be called histogram.

气候直方图是将所收集的降水量测定值,分为几个相等的区间作为横轴,并将各区间内所测定值依所出现的次数累积而成的面积,用柱子排起来的图形,也叫做柱状图。

You rap, you know we are not so good at rapping, huh?

你唱吧,你也知道我们并不那么擅长说唱,对吧?