Projects
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AERIALIST
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Second-Generation Alptrackers with Hub-and-Spoke Signalling and Herd Awareness
Alptracker is the de-facto standard for tracking sheep and cow herds in the Swiss alps. This project advances communication and software support for wide-area herding. It contributes novel hub-spoke animal tracking, capturing movement and behaviour, deriving holistic herd models, and predicting predators and other ...
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ThingsAtScale – Audit Logging, Robustness and Resilience in Large-Scale Cloud-Based IoT Event Processing
The objectives of the ThingsAtScale project encompass various advances beyond the state of technology in software stacks for IoT/LoRaWAN, in particular the The Things Stack (TTS) Cloud. It is comprised of research and development tasks around TTS, in particular related to the two main topics audit logging and ...
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AR Patterns
The project will develop a platform that focuses on Augmented Reality (AR) Patterns and aims to improve collaboration between UX designers and software developers. The goal is to create and operate a public catalogue of AR Patterns that covers both technical and UX aspects. The resulting community platform promotes ...
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Accessible Graphics: Semantic graphic description in PDFs for visually impaired people
The goal of this project is to research and develop deep-learning based methods to automatically extract the data visualized in a chart, in order to generate a semantic description of the chart graphics for visually impaired readers using their screen readers.
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Net-Zero self-adaptive activation of distributed self-resilient augmented services (NATWORK)
The ambition of the EU NATWORK project funded by Horizon Europe - 6G SNS (2024-2026) is to set the foundations and deploy the very first economically realistic, energy efficient, and viable bio-inspired AI-based 6G cybersecurity and resilience framework for intelligent networking and services, taking a holistic ...
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Revolutionizing Skill Development: How AI Can Enhance Training for Decent Work and Climate Resilience
Climate change is affecting most of the world population faster than the population can adopt. This issue is present in daily lives, agriculture, urban planning and distribution of goods and utilities. Decisions need to be taken in real time, supported by knowledge captured in various data representations. The ...
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Decentrally verified and stacked microcredentials on the Internet Computer
Microcredentials are a growing activity in the space of higher education, continuous education, vocational training and corporate training. Customers who undergo education or training expect to get microcredentials that can be shared with their current and future employers. This project introduces extremely ...
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Creating informal learning spaces using QR codes and beacons
This project explores the potential of using QR codes and solar-powered beacons to create learning spaces in educational settings. These spaces are meant to be informal, cyber-physical, decentralised and sustainable. QR codes are two-dimensional codes that can be scanned with a smartphone or other devices and used ...
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HD.ng++ Automated Web Server Classification
The HD.ng++ project creates a system to support an analyst in a Security Operations Center (SOC). The developed system provides meta-information on domains and IP addresses to assist SOC-Analysts by the investigation of potentially malicious domains or IP addresses.
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MaM Monitoring of AV-Media
The monitoring of print and online media has been taking place more or less automatically for a long time. Since an ever greater proportion of new content is produced first or even exclusively for audiovisual (AV) media, the importance of monitoring these AV media has soared. Since the monitoring of AV media can ...
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Mixed Reality in plant engineering
MBS (feasibility study): Use of XR (Mixed Reality) in plant engineering. By walking through large plants together in virtual space in the early stages of the development process: shortened process time Reduction of planning errors and time-consuming coordination with international customers Reduction in the ...
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Serverless data analytics and data-centric consensus for sensed data in public transport
Public transport in Switzerland and in Latin America is organised differently and operated with different levels of reliability, innovation priorities, and acceptance of digital support solutions by passengers. The common element is that in both regions, operators struggle with optimising the offered services to ...
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Dark Energy: Accurate estimation and awareness of cloud-induced power consumption
Phones and notebooks do not require much power? Wrong, most usage patterns involve the heavy use of cloud services. In contrast to device consumption, the extent of this indirect consumption is unknown to users. This project delivers a tool to trace cloud use and convey a CO2 equivalent to the user. ...
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Dynamic Analysis of Internal Android Systems
In this project, we focus on the current state of Android security. One main focus will be to determine current difficulties and limitations that hinder security researchers in performing a dynamic analysis of Android pre-installed software components such as pre-installed apps or native libraries. In a first step, ...
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Automated Information Security Governance and Risk Management
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Digital Health Zurich – A practice lab for patient-centred clinical innovation
Digital Health Zurich researches digital health solutions in the hospital context and implements them efficiently and with practical relevance. Core topics are Patient Reported Outcome Measure (PROMs), remote monitoring, integrated care and related technologies as well as empowerment of patients and staff. Our ...
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Cloud Open Source Research Mobility Network (CLOUDSTARS)
CloudStars presents a joint research programme in the fields of Cloud computing and AI technologies. CloudStars pursues innovation in the Cloud infrastructures to support the next generation of low-latency, high-performance complex workloads. CloudStars also pursues high innovation in the Cloud, making the best ...
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Cybathlon 2024
The Sight Guide team is a collaborative effort formed by experts from Zurich University of Applied Sciences (ZHAW), ETH Zurich, and the University of Zurich. The team, led by Professors Alireza Darvishy, Hans Wernher van de Venn, Roland Siegwart, and Davide Scaramuzza, is dedicated to developing advanced assistive ...
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INODE4StatBot.swiss – Application of new algorithms for automatic natural language translation into database query language SQL (NL-to-SQL)
The goal of this project is to apply the major algorithms developed in the EU-Project INODE (Intelligent Open Data Exploration, https://www.inode-project.eu/) to Swiss Open Data. The focus is on developing multi-lingual extensions for so-called Natural Language to SQL systems (NL-to-SQL) where a natural language ...