《华南理工大学硕士论文格式模板》由会员分享，可在线阅读，更多相关《华南理工大学硕士论文格式模板（21页珍藏版）》请在金锄头文库上搜索。
1、撰写人：_日 期：_专业学位硕士学位论文论文题目作者姓名学科专业指导教师所在学院论文提交日期学术型/专业学位/同等学力硕士学位论文英文内封论文题目Application of the Wavelet Analysis inthe Fault Diagnosis of Rotating Machines“硕士学位论文”字 样A Dissertation Submitted for the Degree of Master作者姓名、指导教师姓名Candidate：Li XiaomingSupervisor：Prof. Chen PingSouth China University of Techn
2、ology Guangzhou, China学术型/专业学位/同等学力硕士学位论文提名页分类号： 学校代号：10561学 号： 秘密 5年直接填写相应的密级和保密期限，字体为四号黑体。公开论文此处为空。华南理工大学硕士学位论文（论文题名和副题名）作者姓名： 指导教师姓名、职称： 申请学位级别： 学科专业名称：研究方向：论文提交日期： 年 月 日 论文答辩日期： 年 月 日学位授予单位：华南理工大学 学位授予日期： 年 月 日答辩委员会成员：主席： 委员： 学位论文原创性声明和版权使用授权书华南理工大学学位论文原创性声明本人郑重声明：所呈交的论文是本人在导师的指导下独立进行研究所取得的研究成果。
3、除了文中特别加以标注引用的内容外，本论文不包含任何其他个人或集体已经发表或撰写的成果作品。对本文的研究做出重要贡献的个人和集体，均已在文中以明确方式标明。本人完全意识到本声明的法律后果由本人承担。作者签名： 日期： 年 月 日学位论文版权使用授权书本学位论文作者完全了解学校有关保留、使用学位论文的规定，即：研究生在校攻读学位期间论文工作的知识产权单位属华南理工大学。学校有权保存并向国家有关部门或机构送交论文的复印件和电子版，允许学位论文被查阅（除在保密期内的保密论文外）；学校可以公布学位论文的全部或部分内容，可以允许采用影印、缩印或其它复制手段保存、汇编学位论文。本人电子文档的内容和纸质论文的
4、内容相一致。本学位论文属于：保密，在 年解密后适用本授权书。不保密，同意在校园网上发布，供校内师生和与学校有共享协议的单位浏览。(请在以上相应方框内打“”)作者签名： 日期：指导教师签名： 日期：摘 要摘要是学位论文内容的简短陈述，应体现论文工作的核心思想。论文摘要应力求语言精练准确，博士学位论文的中文摘要一般约8001200字；硕士学位论文的中文摘要一般约500-800字。摘要内容应涉及本项科研工作的目的和意义、研究思想和方法、研究成果和结论，博士学位论文必须突出论文的创造性成果，硕士学位论文必须突出论文的新见解。中文摘要内容包括： “摘要”字样，摘要正文，关键词。对于中英文摘要，都必须在摘
5、要的最下方另起一行，用显著的字符注明本文的关键词。关键词：是为方便用户查找文献，从文中选取出来并用来揭示全文主题内容的一组词语或术语，应尽量采用词表中的规范词（参照相应的技术术语标准）。关键词一般为35个，按词条的外延层次排列（外延大的排在前面）。关键词之间用分号分开，最后一个关键词后不打标点符号。英文摘要：为了国际交流的需要，论文须有英文摘要。英文摘要的内容及关键词应与中文摘要及关键词一致，要符合英语语法，语句通顺，文字流畅。英文和汉语拼音一律为Times New Roman体，字号与中文摘要相同。关键词： 词 ； 词 ； ； 词ABSTRACTRecent healthcare legis
6、lation, the move to electronic health records, and the accelerating pace of medical knowledge discovery combine to create an environment in which clinical decision support systems are a necessary part of most medical processes. Based on a review of current best practices, we present the information
7、architecture of a clinical decision support system comprised of four primary components: patient model, treatment library, intelligent agents, and an authenticated knowledge base. The patient model contains all patient information in the form of measurable parameters, treatment history, and health g
8、oals. Information regarding treatment procedures, dosages, and effects is stored in treatment library. Intelligent agents are used to optimize courses of treatments to best achieve desired health goals. Finally, an authenticated knowledge base containing the most recent medical research is used to k
9、eep the patient model and treatment library up to date.Recent healthcare legislation, the move to electronic health records, and the accelerating pace of medical knowledge discovery combine to create an environment in which clinical decision support systems are a necessary part of most medical proce
10、sses. Based on a review of current best practices, we present the information architecture of a clinical decision support system comprised of four primary components: patient model, treatment library, intelligent agents, and an authenticated knowledge base. The patient model contains all patient inf
11、ormation in the form of measurable parameters, treatment history, and health goals. Information regarding treatment procedures, dosages, and effects is stored in treatment library. Intelligent agents are used to optimize courses of treatments to best achieve desired health goals. Finally, an authent
12、icated knowledge base containing the most recent medical research is used to keep the patient model and treatment library up to date.Recent healthcare legislation, the move to electronic health records, and the accelerating pace of medical knowledge discovery combine to create an environment in whic
13、h clinical decision support systems are a necessary part of most medical processes. Based on a review of current best practices, we present the information architecture of a clinical decision support system comprised of four primary components: patient model, treatment library, intelligent agents, a
14、nd an authenticated knowledge base. The patient model contains all patient information in the form of measurable parameters, treatment history, and health goals. Information regarding treatment procedures, dosages, and effects is stored in treatment library. Intelligent agents are used to optimize courses of treatments to best achieve desired health goals. Finally, an authenticated knowledge base containing the most recent medical research is used to keep the patient model and treatment library up t
