Intelligent Photovoltaic Grid-connected Inverter Based on ARM& DSP Architecture

The introduction in this paper focus on the application of WEINVIEW touch screen in photovoltaic grid-connected inverter.

本文主要介绍WEINVIEW触摸屏在太阳能光伏并网逆变器中的应用。

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Photovoltaic inverter is a key part of the Photovoltaic power generation system. Its efficiency, quality of power output and reliability are the key factors which affect the performance and investment for the system.

太阳能并网逆变器是整个太阳能并网发电系统中必不可少的一部分，其效率的高低、输出电能的质量和可靠性的好坏将直接影响整个太阳能发电系统的性能和投资。

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In this paper the inverter techniques for photovoltaic power supply are discussed and it is pointed out that the main factors which affect inverting efficiency are transformer consumption, power electronic switching transistor consumption as well as driving circuit consumption, control circuit consumption at light load operation.

本文主要讨论了太阳能逆变器技术要求，指出影响逆变器效率的主要因素是变压器及功率开关管的损耗，驱动电路与控制电路的功耗是影响逆变器低负荷运行效率的重要原因。

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Research on High Efficiency Net Grid Photovoltaic Converter

高效率并网太阳能逆变器研究

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A mining algorithm for association rules based on interest measure

一个基于兴趣度的关联规则采掘算法

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Optimization of the Decision Tree Algorithm about of Interest Degree about Customers

关于用户兴趣度的判定树算法的优化

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Evaluation of many-sided interesting degree based on fuzzy sets theory

应用模糊集理论的多因素兴趣度评价

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Statistical Measure on Interesting of Association Patterns in Retail Database

交易数据库中关联模式兴趣度的统计度量

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Application of the Association Rules Based on Interesting in Course-selecting Analysis

基于兴趣度的关联规则在选课分析中的应用

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Method for Web User Interesting Analysis Based on Pages Fuzzy Classification

基于网页模糊分类的用户兴趣度分析方法

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Firstly, All-confidence measure and All-item-confidence measure are adopted to mine associated and between-item correlated frequent patterns, and then between-item correlated ARs can be gotten.

首先采用All-confidence关联兴趣度度量和All-item-confidence相关兴趣度度量挖掘关联且项项正相关频繁模式，然后进一步得到项项正相关关联规则。

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Using algorithms of Apriori, FP-GROWTH and their improved algorithms, we do some association rule mining on medical image data and make use of rules of high interesting degree to build a basic medical image classifiers.

应用Aptiori算法、FP-GROWTH算法及本文所改进的关联规则挖掘算法对提取的医学图像特征进行关联规则发现，并应用兴趣度高的规则初步建立医学图像分类器。

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The definitions of weight threshold and frequent weighting access sequence are also prompt out. The GSP algorithm is introduced into the mining of user access sequence pattern, in which the pages are endowed with corresponding weight.

最后，以改进的页面兴趣度计算方法给站点被访问页面赋予相应权重，给出权重阈值及频繁加权访问序列的定义，将GSP算法引入到页面加权后的用户访问序列模式挖掘中。

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An interest based cooperative caching strategy ( IBCC) is presented in this paper.

提出一种基于兴趣度的协同缓存策略（IBCC）。

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However, this assumption may not be true practically on situations, so the property-related concepts and user interest degree was introduced, and the impact of two algorithm was analyzed.

C4.5算法得以实施的前提是假设属性间是无关联的，相互独立，但从实际情况看来，这个假设不一定成立，于是引入属性相关性概念和用户兴趣度，分析这两者对算法的影响。

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The main attribute and interest measure are introduced to improve the ( GSP) algorithm, which is then applied in the data mining module of the system.

系统的数据挖掘模块应用了序列模式挖掘中的GSP算法，并对其进行了改进，引入了主属性及兴趣度。

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The paper researches the user's behavior; makes use of the balanceable interest that reflects by high frequency access paths. Makings use of the technique of Web Mining, automatically discovers the users access pattern from the Web Log file-high frequency access paths;

课题从用户访问网站的行为入手，利用权重平衡的频繁访问路径所反映的用户兴趣度的概念，利用Web日志挖掘技术，自动地从日志文件中发现用户访问模式&频繁访问路径；

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In this paper, a Md distance measure method is proposed to evaluate objectively the interesting-ness of the selected subject by utilizing the basic subject characteristics of data warehouse.

根据数据仓库主题具有的基本特征，本文提出采用距离测度Md的方法，客观地评估所选主题的兴趣度。

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According to new data from ChangeWave Research, both usage and consumer sentiment towards Google's mobile operating system Android has increased over the past several months.

据ChangeWave Research公司的调查结果显示，过去几个月内谷歌Android操作系统在消费者使用率和吸引消费者兴趣度方面均出现了增长。

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Based on Web usage mining of Web log, the user interest rate is proposed by using the relativity of the pages accessed by users, which is applied in the data preparation and page recommendation of remote education.

基于日志的Web使用挖掘，利用用户访问页面的相关性提出用户兴趣度，并应用于远程教育中数据准备和页面的推荐过程。

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