Combining Deep Learning with Knowledge Graph for Design Knowledge Acquisition in Conceptual Product Design

The acquisition of valuable design knowledge from massive fragmentary data is challenging for designers in conceptual product design.This study proposes a novel method for acquiring design knowledge by combining deep learning with knowledge graph.Specifically,the design knowledge acquisition method utilises the knowledge extraction model to extract design-related entities and relations from fragmentary data,and further constructs the knowledge graph to support design knowledge acquisition for conceptual product design.Moreover,the knowledge extraction model introduces ALBERT to solve memory limitation and communication overhead in the entity extraction module,and uses multi-granularity information to overcome segmentation errors and polysemy ambiguity in the relation extraction module.Experimental comparison verified the effectiveness and accuracy of the proposed knowledge extraction model.The case study demonstrated the feasibility of the knowledge graph construction with real fragmentary porcelain data and showed the capability to provide designers with interconnected and visualised design knowledge.

Multi-strategies in Case Based Design Knowledge Management on Web

Design knowledge management is very important toimprove the design process performance. The casebased design (CBD) is a methodology to followmankind's problem solving strategy, one of its aims isto realize the design knowledge reuse. This methodhas been used in many fields, but there are still somedifficulties that hindered its application. The first isabout the difficulty in the formalization of a designcase, especially representation of some experiencesthat was the weakness in former researches. The second is about the bottleneck of knowledge-acqulsition that results in lacking enough knowledge in the modification process.which may lead to unreliable results when automatic inference is applied.We proposed that modification should be done not by machines but by designers while the inference results can be used as a suggestion to designers.In this manner we integrated both case.based and rule-based methodologies together.The third difficulty relates to case evolution and customization.former CBD systems suffered from this problem.We proposed an agile case-template technique that overcomes the problem perfectly.To make users be able to define their own similarity rules we allow users to choose different parameter weights and fuzzy subjection functions of numeric parameters.The approach of this paper has been applied to an enterprise and the system is built on the Web.

CREATIVE DESIGN BASED ON KNOWLEDGE MANAGEMENT IN ENGINEERING DESIGN

To support and serve engineering design, creative design based on knowledge management is proposed. The key knowledge factors of creative design are analyzed and discussed, and knowledge extraction tools are utilized to distill the important knowledge to serve for knowledge resource of creative design. The implementation of creative design mode is described and executed, which can promote the intelligent asset of the enterprise and shorten the period of creative design. With this study, design afflatus and conceptual design can be achieved expediently and effectively.

Design Knowledge and Software Engineering

This paper points out various relationships between Design Knowledge and Software Engineering. After introduction of human design, the relationships between industrial Software Engineering is discussed, then further details of human design knowledge are revealed with discussions on humanistic aspects of design.

Fuzzy Methodology for Taxonomy and Knowledge Base Design

This paper summarizes the research results dealing with washer and nut taxonomy and knowledge base design, making the use of fuzzy methodology. In particular, the theory of fuzzy membership functions, similarity matrices, and the operation of fuzzy inference play important roles.A realistic set of 25 washers and nuts are employed to conduct extensive experiments and simulations.The investigation includes a complete demonstration of engineering design. The results obtained from this feasibility study are very encouraging indeed because they represent the lower bound with respect to performance, namely correctrecognition rate, of what fuzzy methodology can do. This lower bound shows high recognition rate even with noisy input patterns, robustness in terms of noise tolerance, and simplicity in hardware implementation. Possible future works are suggested in the conclusion.

PERFORMANCE-BASED INTELLIGENT RESOURCE DESCRIPTION MODEL FOR INTERNET-BASED PRODUCT DESIGN

Issues on intelligent resource description and multiple intelligent resources integration for lntemet based collaborative design are analyzed. A performance-based intelligent resource description model for lnternet-based product design is proposed, which can help to create, store, manipulate and exchange intelligent resource description information for applications, tools and systems in Interact-based product design. A method to integrate multiple intelligent resources to fulfill a complex product design and analysis via lntemet is also proposed. A real project for improving the bearing system design of a turbo-expander with many intelligent resources in prominent universities is presented as a case study.

INTELLIGENT MECHANISM TO SUPPORT DFX ABILITIES IN AUTOMATED DESIGNER'S ENVIRONMENT

The paper aims at providing a computerized design environment to support product design practically. The authors solved this problem by taking the product life-cycle issues into consideration as more as possible during the design process from the designer-oriented perspective of view. Design for X-abilities (DFX) is an effective approach to this philosophy. So the paper mainly presents the infrastructure of an intelligent DFX mechanism which is the essential part of the developed product design environment. At first the designer-oriented computer environment DesignerSpace is introduced for understanding the designer how to implement design activities and DFX method better. In order to integrate design knowledge from downstream aspects for the optimization and the design decision-making, an intelligent DFX mechanism is developed to incorporate knowledge base, algorithm-base and monitoring/debugging tools. DesignerSpace is implemented with DFX abilities and applied to the blisk design of aircraft engine and the further development is strongly intended.

Multi-action-based approach for constructing knowledge map

To alleviate the information overload in the product design process,this work proposes a multiaction-based method for constructing knowledge map. Since the relationships of knowledge are implicit in the collected user activities,the method calculates the similarity according to the collected user activities.Three concepts,including knowledge,action and user,are explained first. Based on this,the similarity calculation method is illustrated in detail. The dependencies of actions and relations of the user are considered in the calculation method. Further,the approach of applying the constructed knowledge map to alleviate information overload is proposed. At last,the proposed method is validated by a knowledge search and result comparison experiment.

Exploration of spatial design issues at backpacker hostels in Budapest＇s historic center： Informality, density, and adaptability

This paper presents a practice-based research to achieve a deeper understanding of the spatial issues related to backpacker tourism, a booming industry in Budapest. The authors designed six backpacker hostels between 2013 and 2015, and of these, four are presently in operation. Hostels are the main infrastructures within the global network of backpacker tourism. Results from the design process revealed that the creation and operation of hostels are significantly influenced by three issues, namely, informality, density, and adaptability. These issues are negotiated on three interconnected tevels： the city, the building, and the interior. The authors developed an experimental structure for dormitory spaces as a conscious reaction to these issues. This experimental structure is presented and evaluated, and further paths of development are formulated based on the results.

At the Edge(Always):An Interview with Jeffrey Schnapp

In this interview,Jeffrey Schnapp conceptualizes Digital Humanities,Knowledge Design and Experimental Humanities,seen as innovative frameworks,aimed at propitiating a radically new understanding of the current challenges of the contemporary world.The overwhelming presence of digital media and artificial intelligence is scrutinized by Schnapp in order to produce theory literally at the edge.