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Generation and Evaluation of Designs Using Deep Neural Networks
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Generation and Evaluation of Designs Using Deep Neural Networks. |
| 개인저자 | Dering, Matthew L. |
| 단체저자명 | The Pennsylvania State University. Computer Science and Engineering. |
| 발행사항 | [S.l.]: The Pennsylvania State University., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 135 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-12B(E). Dissertation Abstract International |
| ISBN | 9780438134683 |
| 학위논문주기 | Thesis (Ph.D.)--The Pennsylvania State University, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
|
| 요약 | The 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 |
| 요약 | First, 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 |
| 요약 | Second, 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 |
| 요약 | Next, 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 |
| 요약 | After 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 |
| 일반주제명 | Computer science. |
| 언어 | 영어 |
| 바로가기 | 
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