CPS: Medium: Collaborative Research: Frequency Domain Conversion of Computer Aided Design Files to Enable Encryption, Authentication and Feature Search Function

CPS：中：协作研究：计算机辅助设计文件的频域转换以实现加密、身份验证和特征搜索功能

基本信息

批准号：
1931916
负责人：
Nektarios Tsoutsos
金额：
$ 15.72万
依托单位：
University of Delaware
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-09-01 至 2021-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1931916&HistoricalAwards=false
关键词：
CPS Medium Collaborative Research Frequency

项目摘要

The additive manufacturing (AM) or 3D printing market has developed exponentially from $1.1B in 2009 to $7.3B in 2018 and experts estimate this to grow double in the next four years. Despite the strategic role that computer-aided design (CAD) files play in AM, designers develop, store, and use the CAD models as they do in any other manufacturing method. This study will research a novel method of imparting new functionalities in CAD models by converting them to the frequency domain using lossless algorithms. The frequency domain representation allows searching the files for specific design features of interest, which is not feasible in the current CAD file formats. Transformation to the frequency domain opens up possibilities for developing new compression and encryption methods. Analysis will be conducted to determine the fundamental principles that lead to lossless conversion of CAD files to the frequency domain and develop compression and encryption methods for the files. Wavelet transform and dynamic time warping will be among the methods used for implementing search functionalities. Dynamic window selection and scaling methods will be used to perform feature search with and without scaling of the object size. These algorithms are based on an exact match procedure and do not rely on tuning or learning the algorithm. The project will help industries that are using AM methods, for example, the aerospace, automotive, medical and military equipment industries. Development of these unique capabilities will by provide new capabilities for design, search, and security. The project will involve post-doctoral fellows and graduate students in the research. The dissemination plan will include publishing the results in journals, conference presentations and press releases for public awareness using the news media.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

增材制造 (AM) 或 3D 打印市场已从 2009 年的 $1.1B 呈指数增长到 2018 年的 $7.3B，专家估计这一数字在未来四年内将增长一倍。尽管计算机辅助设计 (CAD) 文件在增材制造中发挥着战略作用，但设计人员仍像在任何其他制造方法中一样开发、存储和使用 CAD 模型。本研究将研究一种通过使用无损算法将 CAD 模型转换到频域来赋予 CAD 模型新功能的新方法。频域表示允许在文件中搜索感兴趣的特定设计特征，这在当前 CAD 文件格式中是不可行的。频域转换为开发新的压缩和加密方法提供了可能性。将进行分析以确定将 CAD 文件无损转换到频域的基本原理，并开发文件的压缩和加密方法。小波变换和动态时间扭曲将是用于实现搜索功能的方法之一。动态窗口选择和缩放方法将用于在缩放和不缩放对象大小的情况下执行特征搜索。这些算法基于精确匹配过程，不依赖于调整或学习算法。该项目将帮助使用增材制造方法的行业，例如航空航天、汽车、医疗和军事设备行业。这些独特功能的开发将为设计、搜索和安全提供新的功能。该项目将涉及博士后研究员和研究生参与研究。传播计划将包括通过新闻媒体在期刊、会议演示和新闻稿中发布结果，以提高公众意识。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。