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The computational method extracts design knowledge from an expanding online design library in the form of procedural rules, and provides these rules as the building blocks for solving new problems.
Using these motivations it extracts design principles and ultimately design and service features to (1) promote long lifetime with the original user (2) facilitate refurbishment and reuse (3) be easy to disassemble and (4) contain minimal valueless fractions at end of life.
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This insight allows designers to extract design requirements for technology development and process system integration.
The knowledge-based system we developed allows engineering designers to search and select a particular biological system and extract design strategy without much biological knowledge.
Most importantly, we use our results to extract design recommendations for improving avatar-driven applications.
First, in order to derive sufficiently representative statistics for extracting design rules rather large datasets of molecules and activities are needed.
Inspired by this idea, a novel approach is proposed to extract design patterns in the CAD field.
This paper aims at generating as well as extracting design strategies for a real world problem using an evolutionary learning classifier system.
The analysis is applied to wetlands data collected in North America by the US EPA in order to extract design criteria for BOD removal.
These differences make it difficult to extract design principles used in nature for building materials with properties such as high strength, unusual morphologies, or uncommon phases.
As possible directions for future research this suggested framework can provide an insight into the design tendencies of designers and also be used as a reference model for intelligent CAD systems with an extracted design history-based knowledge database.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com