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Generation and Evaluation of Designs Using Deep Neural Networks

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자료유형E-Book
개인저자Dering, Matthew L.
단체저자명The Pennsylvania State University. Computer Science and Engineering.
서명/저자사항Generation and Evaluation of Designs Using Deep Neural Networks.
발행사항[S.l.] : The Pennsylvania State University., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항135 p.
소장본 주기School code: 0176.
ISBN9780438134683
일반주기 Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
요약The objective of this dissertation is to reduce inefficiencies and manual tasks that are part of the product design lifecycle, using proposed deep neural network based methods. Computer Aided Design (CAD) and CAD software are an integral part of
요약First, a method is proposed which uses a Generative Adversarial Network to automatically generate sketches of objects. Enabling fast and recognizable ideation in a simplified medium such as sketching, aids designers in getting a design started q
요약Second, a method is described which generates mesh data in a native and usable format. Once a sketched object is selected, the designer will model it in a higher fidelity manner, using 3D modeling software. This method demonstrates the ability o
요약Next, a new neural network design is proposed which is used to predict an object's intended function. After a 3D object is created, sophisticated simulation software is typically employed to validate that an object's behavior will provide the de
요약After a design is created, refined and validated, it must be prototyped. Toward this end, a method is described which uses body data to determine if a user is performing a task correctly. This method uses a specialized sensor to monitor a user p
일반주제명Computer science.
언어영어
기본자료 저록Dissertation Abstracts International79-12B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T15000642

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