Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 30 for “"Data-driven Design"”.
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Data-driven design for industrial applications
In an era where vast troves of consumer data are continuously generated online, data-driven design has become essential for developing products that truly meet user needs. This dissertation leverages emerging data sources and analytics to inform industrial product design, addressing limitations of …
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Data-driven design for industrial applications
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-05-01
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Representing Knowledge for Data-Driven Design
Data-driven models have proven to be a transformative alternative to rule-based methods of the past. A data-driven transformation of design is necessary to guide engineers through complexity to develop next-generation products and production systems. Data is abundant from digitally documented …
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Data-Driven Design Framework for Hybrid Workspaces
… that involves dynamic interactions between the design of physical environments and its occupants, serving diverse functionalities and expectations. Office design is shaped by social, economic and technological transformations, as well as organisational interests and individual preferences. The …
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Alternative Freight Contracts: Data-driven Design Under Uncertainty
… approach utilizing large, detailed microeconomic data sets to help shippers and carriers form better contractual relationships given present uncertainties. Previous research on TL procurement and operations has predominantly taken analytical approaches due to limited availability of real-world …
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Computational and Data-Driven Design of Perturbed Metal Sites for Catalytic Transformations
We integrate theoretical, computational and data-driven approaches for the sake of understanding, design and discovery of metal based catalysts. Firstly, we develop theoretical frameworks for predicting electronic descriptors of transition and noble metal alloys, including a physics model of d-band …
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Data-Driven Design of Spontaneously-Organized Super-Peptides on Atomic Single Layer Solids
Rational design and analysis of protein databanks via data-driven algorithms have significantly accelerated drug discovery, in particular, and a wide range of biological research topics, in general, during last decades. A similar approach is gaining momentum in materials research but has garnered …
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Data-driven design of MXene aerogels with programmable mechanical performance via active learning and collaborative robots
… not clearly understood. To achieve the custom design for pressure sensors for any given sensing windows and mechanical requirements, understanding the complex correlations between fabrication recipes, aerogel microstructures, and mechanical properties becomes necessary. Since traditional …
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Data-driven approaches for complex systems: leveraging machine learning, materials science, and manufacturing for new biomedical technologies
… manufacturing. Specifically, I demonstrate the data-driven description of supervised machine learning for biomedical engineering tasks, the data-driven design of optimized soft granular biomaterials, and the proof-of-concept development of a transcatheter additive manufacturing platform. In Part …
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Molding and filament winding of spatially graded material properties through computational design
Three-dimensional printing and computational design have enabled designers to spatially vary material properties in objects. Nevertheless, this technology has current limitations that include material durability, cost and speed. In this thesis I demonstrate two novel fabrication processes that I …
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Towards a feedback design process using Digital Thread
Digital Thread is a data-driven architecture that links together information generated from across the product lifecycle. Though Digital Thread is gaining traction as a digital communication framework to streamline design, manufacturing, and operational processes in order to more efficiently …
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Playing with agency: how player agency affects game retention
… concerned with analytics and the use of data-driven design in optimizing key important metrics. Chief among those metrics is retention; the extent to which players continue to play the game.<br/><br/>Designers create systems which optimize retention and often the success of these systems …
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Data-Driven Bicycle Design using Performance-Aware Deep Generative Models
… Generative Machine Learning Models to bicycle design and optimization. Deep Generative Models have been growing in popularity across the design community thanks to their ability to learn and mimic complex data distributions. This work addresses several key bottlenecks in the developing field, …
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Robotic Fabrication Workflows for Environmentally Driven Facades
… have been left behind and architectural design processes have not evolved at the same rate. This research presents design to fabrication workflows that explore data driven design to improve performance of facades, implementing for this purpose computational tools to handle environmental …
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Deep learning methods for the design and understanding of solid materials
The trend of open material data and automation in the past decade offers a unique opportunity for data-driven design of novel materials for various applications as well as fundamental scientific understanding, but it also poses a challenge for conventional machine learning approaches based on …
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Machine learning surrogates for multiphysics design
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms
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Interaction mining mobile apps
… by billions of users every day. Although the design of these apps play an important role in their adoption, the design process still remains complex and time intensive. At the same time, existing apps embody multiple solutions to numerous design problems faced by app developers. How do we make …
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Early Design Stage Building Lifecycle Analysis (LCA) of Cost & Carbon Impact
… can analyze conceptual geometries in the early design stage when there is limited information. The first part of the workflow recommends sustainable features of building attributes, and the second part recommends detailed construction schemes. By following the recommended design solutions, the …
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Customer focused optimal design skill training module from the informatics perspective
Design informatics refers to the processing and application of information in the design process. In the case study of Product-Service Bundle (PSB), design analysis has become challenging due to the increasing amount of complex design information. Given such a design complexity, there are …
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A Smart Products Lifecycle Management (sPLM) Framework - Modeling for Conceptualization, Interoperability, and Modularity
… advantage of low-cost sensors and advanced data analytics technologies. Design of product intelligence (enabled by analytics capabilities) is no longer a trivial or additional option for the product development. The objective of this research is aimed at addressing the challenges raised by …
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