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Ecological and economic process optimization in cement production through machine learning
The goal of this Industry 4.0 project is to stabilize and optimize the clinker burning process in a cement plant using machine learning and improved process analytics. This significantly reduces emissions of carbon dioxide, ammonia and nitrogen oxides, improves clinker quality and reduces the consumption of thermal ...
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Employing Natural Language Processing to identify inconsistencies in companies’ non-financial communication
NLP &ML tools for Swiss asset managers and owners for identifying inconsistencies in companies’ financial and non-financial communication
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ExerUp!
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Fruit to Bar – Innovative post-harvest processing of de-pulped cocoa beans and pulp thereof for single source chocolate
The aim is to produce chocolate 100% composed of de-pulped cocoa beans and pulp, both obtained from the same fruit. Fermentation of de-pulped beans will be defined and pulp will be naturally pre-conditioned allowing drying and application in chocolate aiming at added value along the entire cocoa chain. ...
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Good practices for responsible development of AI-based applications in healthcare
This project will identify proven methods, practices and standards that support responsible research and development of AI systems for health. They will be tested in use cases from medical imaging and neurotechnology, publicly released and published as a guideline of recommended best practices. ...
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High Operational Reliability for Unmanned Systems
HORUS (High Operational Reliability for Unmanned Systems) is a proof of concept that makes flying drones with 2 autopilots possible. The goal of the project is to transform this proof of concept into a minimum viable product: reducing footprint, improving features and going through an intensive flight ...
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Intelligent Diagnostics of Performance Degradation in Solar Power Plants
A new software module for intelligent performance analytics and fault diagnosis for photovoltaic power plants will be developed and integrated in the existing Nispera platform. The service includes diagnosing prominent under-performance factors, allowing for a cost-effective maintenance planning. ...
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Investigation of the Train driver productivity and job satisfaction
The complex, internal relationship between rail schedules and staff rotation is here addressed for a complete analysis of the current performance of train drivers. The potential for performance improvement in relation to the constraints imposed by the timetable and the corresponding shift plans (e.g., use of buffer ...
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Laboratory 4.0 – Digitization in applied materials research
Whereas digitization has penetrated the business world and thanks to the smartphone our every-day life, students and researchers starting in a lab receive a paper notebook with their lab coat. On the one hand, this might look outdated, on the other hand, one might ask the question whether digital assistance ...
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Machine Learning for Software User Interface Testing
In this project, various technical aspects for tracing functional/non-functional requirements within user interface test cases were investigated. Originally, this project aimed to detect bugs in user interfaces automatically by using machine learning algorithms. During the execution of the project, we decided ...
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Muscle generator – The key to unlock scalable and affordable cultivated meat production
A tissue bioreactor and a corresponding process are developed to enable the differentiation of bovine satellite cells on a proprietary scaffold technology to produce cultured meat. Key to success is the integration of a mechanism to periodically stretch the scaffold/cells to enhance taste & texture. ...
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Novel high-speed, low latency distributed data link for precision measurement systems in demanding environments
SPECS Zurich GmbH provides measurement systems for scanning probe microscopy and quantum transport applications. During this project, a new plug&play-capable high- speed serial interface with ultra low latency and optical transmission shall be developed, such that it can be used in demanding environments such as ...
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Pilot study machine learning for injection molding processes
Researchers from the CAI and InES conduct a technical deep dive together to explore the possibilities of capturing process knowledge on injection molding in deep neural networks and transfer the results to novel usage scenarios.The groups of Prof. Stadelmann (Computer Vision, Perception & Cognition, ZHAW CAI) and ...
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Quantitative decision model for sustainable corporate financing
This project aims to develop a quantified and scalable decision model for sustainable corporate financing. Findings from various sub-disciplines of finance and financing practice are to be integrated into an overall model. At the same time, a validation with capital market data is to be implemented so that the model ...
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Simulation-based comparison of an end-to-end and a platform configuration for injection molding line
The project partner received two layout proposals for a new production line and wanted to compare them in terms of their suitability and performance. In the injection molding process, failure of individual injection molding cavities can occur, which leads to systematic or random missing parts. The system's ...
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Square Kilometre Array: Mock-observations via generative deep learning
In this project we use generative deep learning methods (GANs and VAEs) to produce realistic astronomical mock-observations of numerically simulated astrophysical objects, as they will be obseved by the Square Kilometre Array Telescope (SKA). This project contributes to the Swiss-wide activities for SKA of the ...
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Target Recognition using Artificial Intelligence (TRAI)
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Tech4SDG – Guiding Swiss Asset Managers towards High-Impact SMEs
High-impact, social SMEs remain broadly unknown to impact investors and asset managers due to limited information and identification problems. To overcome the asymmetry of information and provide reliable guidance to Swiss asset managers, we aim to create an automated big data platform for the ...
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Win.Lab – Strategierevision des Reallabors der Stadt Winterthur
Winterthur wants to remain a progressive and efficient city in which infrastructures are closely networked with modern technologies and urban stakeholders - a Smart City (SC). To this end, the city council adopted the strategy on 14.3.2018, defined the programme organisation and decided to create a ...
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Optimization of powder preparation in 3D printing using Laser Powder Bed Fusion
Optimization of powder preparation in 3D printing using Laser Powder Bed Fusion (PBFLB/ P)