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Design subspace learning: Structural design space exploration using performance-conditioned generative modeling

Automation in Construction, 2021
Designers increasingly rely on parametric design studies to explore and improve structural concepts based on quantifiable metrics, generally either by generating design variations manually or using optimization methods.
C Mueller
exaly   +2 more sources

Machine learning-based inverse design methods considering data characteristics and design space size in materials design and manufacturing: a review.

Materials Horizons, 2023
In the last few decades, the influence of machine learning has permeated many areas of science and technology, including the field of materials science.
Junhyeong Lee   +6 more
semanticscholar   +1 more source

ZigZag: Enlarging Joint Architecture-Mapping Design Space Exploration for DNN Accelerators

IEEE transactions on computers, 2021
Building efficient embedded deep learning systems requires a tight co-design between DNN algorithms, hardware, and algorithm-to-hardware mapping, a.k.a. dataflow.
L. Mei   +4 more
semanticscholar   +1 more source

Accessible Visualization: Design Space, Opportunities, and Challenges

Computer graphics forum (Print), 2021
Visualizations are now widely used across disciplines to understand and communicate data. The benefit of visualizations lies in leveraging our natural visual perception. However, the sole dependency on vision can produce unintended discrimination against
N. Kim   +3 more
semanticscholar   +1 more source

BOOM-Explorer: RISC-V BOOM Microarchitecture Design Space Exploration Framework

2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2021
The microarchitecture design of a processor has been increasingly difficult due to the large design space and time-consuming verification flow. Previously, researchers rely on prior knowledge and cycle-accurate simulators to analyze the performance of ...
Chen Bai   +5 more
semanticscholar   +1 more source

Communicating with Motion: A Design Space for Animated Visual Narratives in Data Videos

International Conference on Human Factors in Computing Systems, 2021
Data videos are a genre of narrative visualization that communicates stories by combining data visualization and motion graphics. While data videos are increasingly gaining popularity, few systematic reviews or structured analyses exist for their design.
Yang Shi   +4 more
semanticscholar   +1 more source

A Design Space for Applying the Freytag's Pyramid Structure to Data Stories

IEEE Transactions on Visualization and Computer Graphics, 2021
Data stories integrate compelling visual content to communicate data insights in the form of narratives. The narrative structure of a data story serves as the backbone that determines its expressiveness, and it can largely influence how audiences ...
Leni Yang   +7 more
semanticscholar   +1 more source

Quantifying the design-space tradeoffs in autonomous drones

International Conference on Architectural Support for Programming Languages and Operating Systems, 2021
With fully autonomous flight capabilities coupled with user-specific applications, drones, in particular quadcopter drones, are becoming prevalent solutions in myriad commercial and research contexts.
Ramyad Hadidi   +5 more
semanticscholar   +1 more source

The shared design space

ACM SIGGRAPH 2006 Emerging technologies on - SIGGRAPH '06, 2006
The Shared Design Space is a novel interface for enhancing face-to-face collaboration using multiple displays and input surfaces. The system supports natural gestures and paper-pen input and overcomes the limitations of using traditional technology in co-located meetings and brainstorming activities.
Michael Haller   +6 more
openaire   +1 more source

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