检索结果-南通市图书馆

ANALYZING TAX CREDITS FOR RESIDENTIAL ENERGY EFFICIENCY USING ENERGY MODELING

Journal of Green Building 2018年第1期13卷 83-94页

作者： Caroline M.Clevenger Moatassem Abdallah jayapradha madhavan Construction Engineering and Management College of Engineering&Applied ScienceUniversity of Colorado Denver1200 Larimer StreetDenverCO USA

From roughly 2013 to 2016,ten building product categories related to residential energy efficiency were eligible for United States ENERGY STAR Federal Tax *** general,the objective of residential energy-efficiency tax credits is to encourage individuals to increase residential energy-efficiency investments and invest in properties that generate renewable *** research analyses eight of the available tax credit categories for four climatic zones and recommends packages based on low Life Cycle Cost and low First Cost for the eligible ENERGY STAR *** experiment was conducted using energy modeling software for different tax credits and costs combinations,to explore potential variability in economic impact of the federal *** used Building America B10 Benchmark as a reference,and the energy computations were completed using Building Energy Optimization(BEopt)*** suggest that ENERGY STAR product packages that include PV systems generally have the lowest(best)Life Cycle Costs and packages that include Geothermal Heat Pumps generally have the highest(worst)Life Cycle ***,there are tradeoffs between cost savings and energy source savings,and the particular economics of tax incentives for ENERGY STAR products depend on project specifics as well as owner priorities.

关键词： ENERGY STAR products energy performance lifecycle costs

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Emotion Deduction from Social Media Text Data Using Machine Learning Algorithm

引用

Journal of Computer and Communications 2023年第11期11卷 183-196页

作者： Thambusamy Velmurugan Baskaran jayapradha PG and Research Department of Computer Science Dwaraka Doss Govardhan Doss Vaishnav College Chennai India PG and Research Department of Computer Science Dr. Ambedkar Government Arts College Chennai India

Emotion represents the feeling of an individual in a given situation. There are various ways to express the emotions of an individual. It can be categorized into verbal expressions, written expressions, facial expressions and gestures. Among these various ways of expressing the emotion, the written method is a challenging task to extract the emotions, as the data is in the form of textual dat. Finding the different kinds of emotions is also a tedious task as it requires a lot of pre preparations of the textual data taken for the research. This research work is carried out to analyse and extract the emotions hidden in text data. The text data taken for the analysis is from the social media dataset. Using the raw text data directly from the social media will not serve the purpose. Therefore, the text data has to be pre-processed and then utilised for further processing. Pre-processing makes the text data more efficient and would infer valuable insights of the emotions hidden in it. The preprocessing steps also help to manage the text data for identifying the emotions conveyed in the text. This work proposes to deduct the emotions taken from the social media text data by applying the machine learning algorithm. Finally, the usefulness of the emotions is suggested for various stake holders, to find the attitude of individuals at that moment, the data is produced. .

关键词： Data Pre-Processing Machine Learning Algorithms Emotion Deduction Sentiment Analysis

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Predisposition of Obesity through Genetic and Non-Genetic Risk Factors

引用

Journal of Endocrinology Research 2020年第2期2卷 27-30页

作者： Alice jayapradha Cheekurthy Department of Biochemistry Maris Stella College(Autonomous)Vijayawada-8Andhra PradeshIndia

Globally there is an increase in the number of people affected by *** has increased the count of individuals to double,triple,and even *** is a complex disease that has a genetic,behavioural,socioeconomic,and environmental *** raises morbidity and mortality in *** is an important predisposition for diabetes as well as the current pandemic *** rationale of this case-control observational study is to identify obese individuals among the diabetic and non-diabetic *** study includes non-genetic factors like lipid profiles with genetic factors in form of SNP as a predisposition *** amplified portion of the ADIPOQ gene sequence revealed the presence of SNPs rs2241767 in 46.3%population and showed increased lipid profile *** can be concluded that these are important predisposing factors for obesity.

关键词： Obesity Risk factor Type 2 diabetes mellitus

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

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

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

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：