All projects from the School of Engineering
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Green and sustainable digitalization for the textile industry
By optimizing production in the textile industry, digitalization can help to reduce power consumption and thus, emissions of pollutants. Yet, digitalization itself creates emissions, e.g., by using powerful AI algorithms. There is currently no transparency for how digitalization investments can reduce emissions. The ...
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NEPHELE – A Lightweight Software Stack and Synergetic Meta-Orchestration Framework for the Next Generation Compute Continuum
The main vision for the NEPHELE project is to enable efficient, reliable and secure end-to-end orchestration of hyper-distributed applications over programmable infrastructure that is spanning across the compute continuum from Cloud-to-Edge-to-IoT. Together with other 17 great partners from industry and academia, ...
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Practical data efficient deep learning trough contrastive self-supervised learning
Deep Learning is the key building block of most modern AI systems, but its data hunger is a problem - especially from an applied perspective. The goal of this project is to enable data efficient practical deep learning by developing novel contrastive learning methods.
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SpaceVote
Inurban development, local input and relevance is essential and often politicallyrequired. The repertoire of tools to capture those range from online petitions,through digital and physical participation campaigns and formal referenda tophysical protest; yet mostly they are not inclusive and lack ...
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Kinematik für MC- und MG-Anlagen
Entwicklung und Simulation von Algorithmen für die Transformation der Achskinematik von Unrundpräge-Maschinen.
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CAPACITIVE – XCT Data of Opalinus Clay Clay and microstructural investigations
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Indoor Navigation for Personalised Shopping
Smart personalised shopping is enabled by a number of cyber-physicaltechnologies including electronic shelf labels (ESLs), beacons, sensors,connected point-of-sales (POS) and so forth. In this project, thealready known product location and quantity information associated withthe ESLs shall be complemented by ...
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LINA: Shared Large-scale Infrastructure for the Development and Safe Testing of Autonomous Systems
The goal of the LINA consortium is to create a basis for the largest European (real and virtual) infrastructure for research, development and safe testing of autonomous systems / UAS (Unmanned Aircraft System) for commercial products in the canton of Zurich.
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lnFlex - Innovative flexible shafts in lightweight construction
Development and calibration of a calculation method using machine learning for the weight- and space-saving design of flexible shafts, based on dynamic characteristic values determined with a new type of test equipment.
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Neurological ICU Data
In the neurological ICU, one uses various neuroimaging techniques, EEG probably the most famous. Another method, NIRS (Near Infrared Spectroscopy), is a neuroimaging technique that uses non-invasive optodes to detect hemodynamic activity. NIRS data has successfully been analysed in various studies, either as the ...
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OSR4H – Open Set Recognition for Hematology
Development of a Proof of Concept for visual Open Set Recognition (OSR) algorithms applied to a Hematology task, the classification of white blood cells.
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Smart City Winterthur - WinLab
Since 2018, the City of Winterthur has established a Smart City strategy and programme organisation in order to be able to carry out corresponding activities. With WinLab, the city of Winterthur is also positioning itself as a real laboratory for innovation developments, including within the framework of Smart City ...
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Improved distillation of bio-based acetic acid
Improved distillation of bio-based acetic Acid.
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Designing smart wave guides and phononic cloaks using metamaterials
The proposed scientific exchange with the Oslo Metropolitan University in Norway addresses the protection of sensitive elements against stress waves through designing smart wave guides and phononic cloaks using metamaterials.
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Front Runner
Winterthur can implement both a strategy project and three individual implementation projects as part of the Swiss Federal Office of Energy Front Runner programme with the help of the "SwissEnergy for municipalities" programme. The strategy project aims to link the Smart City Winterthur strategy with the Energy and ...
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Multiphysics analysis of a complex pharmaceutical production process
Multiphysics analysis of a complex pharmaceutical production process, involving heat heat- and mass transfer phenomena, laminar flow patterns and particle dynamics.
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SAVEDGE: Scalable AV Platform for Edge AI Computing
A battery-powered audio-visual sensor platform for edge AI computing with highly scalable processing and ultra low power consumption is being developed. It enables high-performance AI applications at the edge while providing very long battery lifetimes.
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Smart Grid International Research Facility Network (SIRFN)
The Smart Grid International Research Facility Network (SIRFN) is a network of smart grid researchers with test facilities in countries participating in the Implementing Agreement for a Cooperative Programme on Smart Grids (ISGAN). The Electrical Energy Systems and Smart Grids Research Group of IEFE, ZHAW represents ...
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The augmented interpreter- a pilot study on the usability of augmented reality in interpreting
Simultaneous interpreting depends on auditory and visual information. This pilot study investigates whether a seamless integration of visual and auditory information, achieved by displaying translations of technical terms on augmented reality glasses (AR), can lower cognitive load in interpreting. ...
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Workshop European Centre for Living Technology ECLT
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Feasibility study seat scan
In this project, the feasibility of a "measuring cushion for clinical use" is to be tested. The measuring cushion is to be designed in such a way that the anatomical body impression (relief) can be digitised. Central to this is a built-in pressure measurement (pressure height, direction and shear forces). The body ...
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Accessibility of ZHAW Webpages
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HumanTech
The HumanTech project aims to make the construction industry safer, more sustainable and more efficient. Digital tools and devices are being developed for various applications to support the planning and the actual process of construction. This includes topics of occupational safety and health such as the ...
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Positive Energy Districts as a Suitable Instrument to govern the Swiss Energy Transition (PEDSET)
“Positive Energy Districts” (PEDs) are energy-efficient and flexible urban areas or interconnected groups of buildings that produce net zero greenhouse gas emissions and actively manage local or regional surplus annual renewable energy production. They require the integration of different systems and infrastructures ...
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Smallest and most affordable intraoral scanner in the world, based on the latest optoelectronic components and innovative algorithms