检索结果-南通市图书馆

Researches on classification features of Rural and Urban Domestic Waste in Tianjin City Under Secondary classification Mode

引用

Agricultural Science & Technology 2015年第12期16卷 2854-2858页

作者：梁海恬高贤彪何宗均李妍吴迪王德芳钱姗李玉华天津市农业资源与环境研究所天津300192

In order to investigate the influence of secondary classification mode on waste generation features, this study classified domestic waste generated by 310 rural and urban households at urban areas and Shuigaozhuang Village of Xiqing District into 3 groups： compostable materials, recyclable materials and toxics on the basis of the constructed secondary classification mode of domestic waste. The study focused on waste generation strength and classification features, compared the waste generation features between rural and urban residents, and analyzed the re- lation between waste generation strength and economic and cultural factors. The re- sults indicated that the average generation speed of urban domestic waste was 423.08 g/（***）, and that of rural domestic waste was 629.89 g/（***）, there was significant difference between rural and urban compost generation strength （P= 0.00002）, while the generation strength of recyclable materials and toxics between rural and urban areas had no significant difference （P=0.471 and P=0.099, respec- tively）. Secondary classification mode is an effective source classification mode for domestic wastes and has positive effects on waste reduction and treatment.

关键词： Secondary classification mode Domestic waste Compostable materials classification features Generation strength

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

classification and identification of foreign fibers in cotton on the basis of a support vector machine

Classification and identification of foreign fibers in cotto...

引用

第三届国际计算机及计算技术农业应用学术会议

作者： Ronghua Ji~a,Daoliang Li~(a,*),Lairong Chen~b,Wenzhu Yang~a a College of Information and Electronic Engineering,China Agricultural University,Beijing,100083,China b School of Technology,Beijing Forestry University,Beijing,100083,China

Foreign fibers in cotton have seriously affected the quality of cotton *** classification and identification of foreign fibers in cotton is the foundation of cotton foreign fiber automated *** paper takes the typical cotton foreign fibers in China’s textile enterprises as the research object,and acquires the images under simulated actual cotton *** various classification features are calculated and *** results show that aspect ratio,roundness,duty cycle and I are the effective features for classifying various foreign *** paper puts forward a classifier of cotton foreign fibers based on a support vector machine.A Decision Tree Support Vector Machine(DTSVM) can not only avoid the non-separated region,but also improve the training speed while the training sample number gradually decreases,going through the decision *** DTSVM is to be used to identify the sorts of common foreign fibers in *** experimental data set shows that the rates of identifying different kinds of foreign fibers are greater than 92% using the proposed DTSVM.

关键词： Cotton Foreign fibers classification features Support vector machine

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：