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PFI:AIR - TT: A System for 3D Content-based Data Management

PFI:AIR - TT: A System for 3D Content-based Data Management
PFI:AIR - TT:基于 3D 内容的数据管理系统
批准号:
1640366
负责人:
Ali Shokoufandeh
金额:
$20.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-01 至 2019-02-28
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项目摘要

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中文摘要
翻译
这个PFI:AIR技术翻译项目的重点是翻译三维(3D)内容管理技术,以满足对能够处理3D内容和维持3D制造扩展的系统的需求。这种基于3D内容的数据管理系统非常重要,因为它对3D打印和制造业的信息支持产生了影响。3D制造业在管理网络规模的3D内容方面面临着越来越大的挑战,管理3D存储库的进展仍处于早期阶段。因此,能够管理大规模3D内容的系统在培育更容易获得的3D内容市场方面发挥着关键作用,并为内容创作者和消费者提供了新的就业和收入机会的潜力(例如,通过减少创业公司将新产品推向市场的障碍)。该项目将导致一个网络规模的系统具有以下独特功能的概念验证:对象浏览,查询处理和3D对象组合/分解机制的交互。这些功能为基于微服务模型的复杂应用程序提供了实施的优势,这是该市场空间中的一种新架构。该项目解决了从研究发现到商业应用的3D信息管理中的几个技术空白。具体而言,它包括计算方法,例如基于多对多匹配算法的相似性测量,该算法与3D对象的体积表示一起工作,并在两个对象及其部分之间产生直接对应关系,这可以用于配准和并置。它还将过渡几个开发的机制,用于索引3D对象的基于部件的表示,这反过来又可以用于从模型数据库中有效检索候选人。我们的建议,部分匹配的3D部件将利用一种新的变形水平集的3D表面,提供了一个形状相似性度量两个表面之间。该度量将允许我们执行广义表面的高精度匹配。此外,参与该项目的人员,包括四名高级(初级或高级)本科生,将通过接触真实世界的软件工程流程,信息检索和大规模数据管理工具获得创业和技术翻译经验。这种经验将提供技能,知识和经验,为学生的学术生涯或行业就业做好准备。该项目聘请3D工业(3DI)有限公司,以确保德雷克塞尔团队?该项目下的转化研究工作仍在进行中,以解决关键的商业需求,并最大限度地缩短上市时间。3DI的加入会壮大德崇公司的团队吗的研究工作,同时也创造了机会,德雷克塞尔团队,以快速接收和适应反馈,从实际工作的用户。
英文摘要
This PFI:AIR Technology Translation project focuses on translating 3-Dimensional (3D) content management technology to fill the need for systems that are capable of processing 3D content and sustaining expansion of 3D manufacturing. This 3D Content-based data management system is important because of its impact on information support for the 3D printing and manufacturing industry. The 3D manufacturing industry is facing a growing challenge in managing web-scale 3D content and the progress in managing 3D repositories is still in its early stages. As a result, systems that are capable of managing large-scale 3D content play a critical role in fostering a market for 3D content that is more accessible and offers the potential for new job and income opportunities for both content creators and consumers (e.g. by reducing the barrier for a startup to bring a new product to market). The project will result in a proof-of-concept of a web-scale system with the following unique features: object browsing, query processing, and interaction of 3D object composition/decomposition mechanisms. These features provide the advantages of an implementation based on a micro-services model for complex applications, which is a new architecture in this market space.This project addresses several technology gaps in 3D information management as it translates from research discovery toward commercial application. Specifically, it includes computational methods such as similarity measurements based on a many-to-many matching algorithm that work with volumetric representations of 3D objects and produce a direct correspondence between two objects and their parts, which can be used for registration and juxtaposition. It will also transition several developed mechanisms for indexing a part-based representation of 3D objects, which in turn can be used for efficient retrieval of candidates from a database of models. Our proposal for partial matching of 3D parts will utilize a novel morphing of level sets of 3D surfaces that provides a shape similarity metric between the two surfaces. This metric will allow us to perform high accuracy matching of generalized surfaces. In addition, personnel involved in this project, including four upper-level (junior or senior) undergraduates, will receive entrepreneurship and technology translation experience through exposure to real-world software engineering processes, information retrieval, and large-scale data management tools. This experience will provide the skills, knowledge and experience to prepare the students for either academic careers or employment in industry. The project engages 3D Industries (3DI) Ltd. to ensure the Drexel team?s translational research efforts under the project remain on track to solve critical commercial needs and to minimize the time to market. 3DI's participation will augment the Drexel team?s research efforts while also creating the opportunity for the Drexel team to quickly receive and adapt to feedback from real-work users.
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SGER: Algorithmic Infrastructure for Knowledge Management
  • 批准号:
    0136337
  • 项目类别:
    Standard Grant
  • 资助金额:
    $5.0万
  • 财政年份:
    2001
  • 负责人:
    Ali Shokoufandeh
  • 依托单位:
国内基金
海外基金
湍流和化学交互作用对H2-Air-H2O微混燃烧中NO生成的影响研究
  • 批准号:
    51976048
  • 项目类别:
    面上项目
  • 资助金额:
    61.0万元
  • 批准年份:
    2019
  • 负责人:
    邱朋华
  • 依托单位: