scholarly journals Design concept generation from patent information based on novelty potential and distributional word representation model

2022 ◽  
Author(s):  
Tomoya TACHIBANA ◽  
Koki SHODA ◽  
Aiza Syamimi Binti Abd Rani ◽  
Yutaka NOMAGUCHI ◽  
Kazuya OKAMOTO ◽  
...  
Keyword(s):  
Design Concept ◽  
Concept Generation ◽  
Patent Information ◽  
Representation Model ◽  
Word Representation

Design Concept Generation from Patent Information based on Novelty Potential and Distributional Word Representation Model

2020 ◽  
Vol 2020.30 (0) ◽  
pp. 3201
Author(s):  
Tomoya TACHIBANA ◽  
Koki SHODA ◽  
Aiza Syamimi Binti Abd Syamimi ◽  
Yutaka NOMAGUCHI ◽  
Kazuya OKAMOTO ◽  
...  
Keyword(s):  
Design Concept ◽  
Concept Generation ◽  
Patent Information ◽  
Representation Model ◽  
Word Representation

An I-Ching-TRIZ-Inspired Approach to Design Concept Generation

2009 ◽  
Author(s):  
Duc Truong Pham ◽  
Huimin Liu
Keyword(s):  
Design Concept ◽  
Design Solution ◽  
Concept Generation ◽  
I Ching ◽  
Innovative Design ◽  
New Approach ◽  
Design Concepts ◽  
Aircraft Cabin ◽  
Design Specifications ◽  
Design Solutions

This paper presents a new approach to producing innovative design concepts. The proposed approach involves extending the inventive principles of TRIZ by integrating other TRIZ and TRIZ-inspired tools. The set of inventive principles is then structured according to a framework adapted from I-Ching and represented using TRIZ’s Behaviour-Entity (BE) formalism to which constraints have also been added. The adoption of the BE representation enables a reduction in the amount of repeated information in the inventive principles. A BE pair contains information on a design solution. A Behaviour-Entity-Constraint (BEC) triple additionally has information on constraints on the solution. The BEC representation thus facilitates the retrieval and generation of design solutions from design specifications. The paper uses the problem of laying out seats in an aircraft cabin to illustrate advantages of the proposed approach.

The effects of time and incubation on design concept generation

2014 ◽  
Vol 35 (5) ◽  
pp. 500-526 ◽  
Author(s):  
Joanna Tsenn ◽  
Olufunmilola Atilola ◽  
Daniel A. McAdams ◽  
Julie S. Linsey
Keyword(s):  
Design Concept ◽  
Concept Generation

scholarly journals Building Numerical Design Matrix and Managing Functional Couplings for Concept Improvement of The Existing Product

2019 ◽  
Vol 301 ◽  
pp. 00011
Author(s):  
Chu-Yi Wang ◽  
Ang Liu ◽  
Stephen Lu
Keyword(s):  
Design Theory ◽  
Design Concept ◽  
Design Parameters ◽  
Phase Method ◽  
Functional Coupling ◽  
Design Matrix ◽  
Concept Generation ◽  
Functional Requirements ◽  
Axiomatic Design Theory ◽  
Concept Improvement

Because parametric values are unknown during initial concept generation, the Axiomatic Design Theory uses the binary design matrix (DM) to represent the coupling relationship between functional requirements and design parameters. However, given an existing product, it would be possible to employ the numerical DM that has more detailed information than the binary DM to help improve the design concept. This paper proposed a two-phase method to create a numerical DM in phase I and manage the functional couplings in phase II for concept improvement of existing product. A decomposition-definition-levelling framework and the Puritan-Bennett’s 0-1-3-9 level rating are employed to evaluate the system impact of each functional coupling to create the numerical DM of an existing design concept. The Design Coupling Sequence (DCS) approach was extended to use the numerical DM to improve this design concept. Compared with other numerical matrices for product development and the structured approach by Su et al., our method is more generic and faster, providing useful details yet still able to maintain the dominance of the high-level couplings.

Design Concept Generation With Variational Deep Embedding Over Comprehensive Optimization

2021 ◽  
Author(s):  
Kikuo Fujita ◽  
Kazuki Minowa ◽  
Yutaka Nomaguchi ◽  
Shintaro Yamasaki ◽  
Kentaro Yaji
Keyword(s):  
Design Concept ◽  
Concept Generation ◽  
Design Concepts ◽  
Computational Optimization ◽  
Comprehensive Exploitation ◽  
New Concepts ◽  
Latent Space ◽  
Deep Embedding ◽  
Bridge Structures ◽  
Classification Capability

Abstract This paper proposes a framework for generating design concepts through the loop of comprehensive exploitation and consequent exploration. The former is by any sophisticated optimization such as topology optimization with diversely different. The latter realization is due to the variational deep embedding (VaDE), a deep learning technique with classification capability. In the process of design concept generation first, exploitation through computational optimization generates various possibilities of design entities. Second, VaDE learns them. This learning encodes the clusters of similar entities over the latent space with smaller dimensions. The clustering result reveals some design concepts and identifies voids where as-yet-unrecognized design concepts are prospective. Third, the decoder of the learned VaDE generates some possibilities for new design entities. Forth such new entities are examined, and relevant new conditions will trigger further exploitation by the optimization. In this paper, this framework is implemented for and applied to the conceptual design problem of bridge structures. This application demonstrates that the framework can identify voids over the latent space and explore the possibility of new concepts. This paper brings up some discussion on the promises and possibilities of the proposed framework.

scholarly journals Instant 3D design concept generation and visualization by real-time hand gesture recognition

2013 ◽  
Vol 64 (7) ◽  
pp. 785-797 ◽  
Author(s):  
Jinsheng Kang ◽  
Kang Zhong ◽  
Shengfeng Qin ◽  
Hongan Wang ◽  
David Wright
Keyword(s):  
Real Time ◽  
Gesture Recognition ◽  
Hand Gesture Recognition ◽  
Design Concept ◽  
Hand Gesture ◽  
Concept Generation ◽  
3D Design
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