Searched for: subject%3A%22Data%255C-driven%255C+design%22
(1 - 19 of 19)
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BABU, ADITYA (author)
Bio-based composites have been a viable material choice in aerospace, automobile and construction industries over the past few decades. From day-to-day products like spoons and chairs to the construction of rocket parts, bio-based composites find their applications due to their mechanically enhanced, cost-effective and lightweight structures,...
master thesis 2022
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van Wijnen, Laetitia (author)
The goal of this thesis was to design a way for Ford to provide users more value during long-distance Battery Electric Vehicle (BEV) trips. Users tend to buy their vehicle for the 95th percentile of use-cases. In the Netherlands, the average amount of km driven per day is 32 km, which is easily covered by any BEV currently on the market, without...
master thesis 2021
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Abraham John, Arun (author)
Spiritual wellbeing is an important part of human wellbeing. As the field of positive design aims to design for human well-being, how may we design for spiritual well-being? As we address this question in a secular society, an opportunity is presented by a rise in practices that were not explored by traditional western religion but are indeed...
master thesis 2021
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Visser, Bobby (author)
This study aims to provide a proof of concept of a plug-in hybrid electric superyacht. In this way, the yachting industry can help reduce carbon emissions worldwide and potentially increase comfort levels. The concept takes advantage of the typical operating profile of a yacht. A statistical analysis is performed to discretise this and obtain...
master thesis 2021
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Beardow, Caiseal (author)
The brain is the foundation of human experience. Our sensory and emotional perceptions of the world around us are all based in neural activity. But does physical brain activity correspond with subjective aesthetic experience? Is it possible to optimise for both?<br/><br/> My project seeks to answer this question by framing brain response and...
master thesis 2021
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Kuś, G.I. (author), van der Zwaag, S. (author), Bessa, M.A. (author)
Gaussian processes are well-established Bayesian machine learning algorithms with significant merits, despite a strong limitation: lack of scalability. Clever solutions address this issue by inducing sparsity through low-rank approximations, often based on the Nystrom method. Here, we propose a different method to achieve better scalability...
journal article 2021
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Bier, H.H. (author), Vermeer, E.C.F. (author), Hidding, A.J. (author), Jani, K.K. (author)
In order for off-Earth top surface structures built from regolith to protect astronauts from radiation, they need to be several meters thick. Technical University Delft (TUD) proposes to excavate into the ground to create subsurface habitats. By excavating, not only can natural protection from radiation be achieved but also thermal insulation,...
journal article 2021
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Wang, G. (author), Albayrak, A. (author), Kortuem, G.W. (author), van der Cammen, T.J.M. (author)
Background: Care personalization is key to the well-being of people with dementia according to person-centered care. With the development of the internet of things, a large quantity of personal data can be collected securely and reliably, which has the potential to facilitate care personalization for people with dementia. Yet, there are...
journal article 2021
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Kuś, Gaweł (author)
The data-driven approach shows great potential for designing new materials with unprecedented properties by using machine learning and optimization. Recently, a data-driven framework was successfully applied to design a unit cell of metamaterial achieving super-compressibility, despite being built out of brittle base material. The key element of...
master thesis 2019
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Houlder, Michael (author)
Mechanical metamaterials are a new emerging class of materials which achieve properties outside the bounds of conventional materials. A metamaterial consists of a unit cell which is periodically repeated in space. In this study, a new metamaterial unit cell is proposed, derived from a class of space structures known as deployable masts. What...
master thesis 2019
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Cherukuri, Srikara (author)
Space mission design is an activity that deals with a highly complex, non-linear system of which the requirements and characteristics are subject to regular change. This has consequences on the mathematical design but also the translation to hardware. In this thesis, we explore the use of Integrated Mission Design (IMD); a data-driven design...
master thesis 2019
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Bessa, M.A. (author), Głowacki, Piotr (author), Houlder, Michael (author)
Designing future-proof materials goes beyond a quest for the best. The next generation of materials needs to be adaptive, multipurpose, and tunable. This is not possible by following the traditional experimentally guided trial-and-error process, as this limits the search for untapped regions of the solution space. Here, a computational data...
journal article 2019
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Hofstee, Niels (author)
The construction sector contributes to a significant portion of global energy consumption, CO2 emissions and the use of material resources. As climate change escalates with rapidly increasing temperatures, more extreme weather patterns and rising sea levels, an urge to reduce the environmental impact is evident. <br/><br/>A discrepancy is...
master thesis 2018
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Liu, Songshan (author)
About 65 million global disable population require a wheelchair to keep mobility. However, long-term depending on wheelchairs has intensified the burden on the social economy and brought enormous challenges to wheelchair users health. Physical issues such as body pain, pressure sore, muscle injury and weakness, and cardiopulmonary weakness...
master thesis 2018
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Montijn, Myrthe (author), Calabretta, G. (author), van Erp, J. (author)
Digital innovations in-store are often unnecessary, unintuitive and uncomfortable and mostly make use of personal data for one-way messaging instead of meaningful interpersonal interactions. Digital initiatives are also more focused on enhancing the shopping experience (even unsuccessfully) instead of building consumer-brand relationship through...
conference paper 2018
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Cosmatu, T. (author), Wattez, Y.C.M. (author), Turrin, M. (author), Tenpierik, M.J. (author)
The Double Face 2.0 research project aims at developing a novel type of an adaptive translucent Trombe wall. The novelty of the proposed system is based on the integration of new lightweight and translucent materials, used both for<br/>latent heat storage and insulation, advanced computational design processes, used to identify the relationship...
conference paper 2017
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Bier, H.H. (author), Mostafavi, S. (author)
Data-driven architectural production and operation explored within Hyperbody rely heavily on system thinking implying that all parts of a system are to be understood in relation to each other. These relations are established bi-directionally so that data-driven architecture is not only produced (designed and fabricated) by digital means but also...
journal article 2015
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Yapi, J. (author)
Data driven computational design derived from human physicality research and within realm of Hyperbody computational tools. A narrative path evoke emotional diversity via the experience of architectural physicality.
master thesis 2015
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Bier, H.H. (author), Mostafavi, S. (author)
Data-driven architectural production and operation as explored within Hyperbody rely heavily on system thinking implying that all parts of a system are to be understood in relation to each other. These relations are increasingly established bi-directionally so that data-driven architecture is not only produced (created or designed and fabricated...
conference paper 2014
Searched for: subject%3A%22Data%255C-driven%255C+design%22
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