Studienund Masterarbeiten Supercomputing Systems AG
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Studien- und Masterarbeiten Supercomputing Systems AG Stand Oktober 2019 https://www.scs.ch/karriere/studien-und-masterarbeiten-bei-scs/ Vision trifft Realität. Supercomputing Systems AG Phone +41 43 456 16 00 Technopark 1 Fax +41 43 456 16 10 8005 Zürich www.scs.ch
Towards User-independent 2D/3D Object Classification of
Complex Life Science Images
We develop novel machine vision & mathematical
morphology algorithms to analyze complex multi-
modal Life Science images. The goal of this work is
the development of 2D/3D image segmentation &
classification algorithms for (semi-)automated analysis
of complex cellular structures in plants & liver images
from Electron Micrographs (EM).
Art der Arbeit: 30% Theory, 70% Software Engineering
Voraussetzungen: Solid knowledge of Matlab and C++
Good knowledge of Image Processing
Aufwand: MA, 1-2 Personen
Ansprechperson : fabian.schenkel@scs.ch
2 Zürich 07.10.2019 © by Supercomputing Systems AG CONFIDENTIAL
Automating DDH Diagnosis using Machine/Deep Learning
Techniques
Between 2 and 3 percent of all infants are diagnosed with
developmental dysplasia of the hip (DDH), and it is believed
that approximately 30% of all hip replacement surgeries on
patients below the age of 60 are owed to DDH.
While previous scientific publications as well as research at
SCS has shown that deep learning-based methods can
already outperform human experts in measuring angles of the
hip bones, there is no method yet to reliably detect
automatically whether an US image has been obtained using
correct orientation of the US probe.
Art der Arbeit: 60% Research, 20% Benchmarking, 20% SW Development
Voraussetzungen: Machine Learning & Deep Learning Basics, Python, C/C++
Aufwand: MA, 1 Person
Ansprechperson : fabian.schenkel@scs.ch
3 Zürich 07.10.2019 © by Supercomputing Systems AG CONFIDENTIAL
Transfer Learning for Image Segmentation using Convolutional
Neural Networks
Today’s Machine Learning (ML) success is often limited
by a lack of labelled ground truth data to train the
models. This is especially true for applications in
medical imaging. In medical optical coherence
tomography (OCT) of the eye, only a limited set of GT-
labeled images exists.
Transfer learning (TL) is a state-of-art ML-technique
that can be useful to overcome this problem for similar
yet distinct tasks.
Art der Arbeit: 30% Theory, 40% Implementation, 30% Evaluation
Voraussetzungen: High-level programming language, ML/DL knowledge helpful
Aufwand: MA, 1 Person
Ansprechperson : fabian.schenkel@scs.ch
4 Zürich 07.10.2019 © by Supercomputing Systems AG CONFIDENTIAL
MLOps: Bring Your Model to Production
The field of ML is growing up. In the past, questions like "which AI algorithm
should I choose" and "what is the best way to train it" were the main focus of AI
projects. Today, these topics are well explored.
Now, new questions get into focus: how can we
bring our model actually to production in a reliable
and reproducible way? How can we integrate data
acquisition, training, and monitoring of our model
into an automated system?
Art der Arbeit: 60% Implementation, 20% Theory, 20% Testing/Benchmark
Voraussetzungen: Machine Learning Basics, DevOps Basics
Aufwand: MA, 1-2 Personen
Ansprechperson : fabian.schenkel@scs.ch
5 Zürich 07.10.2019 © by Supercomputing Systems AG CONFIDENTIAL
Deep Learning in the Wild
Climate change and human exploitation of our planet has a significant influence
on the habitat and existence of wild animals. The resulting biodiversity loss
threatens ecosystems and the human development that depends on them.
Protecting these habitats is based on delivering evidence by collecting data. This
is usually labour intensive, since it depends on
field work done by biologist and volunteers.
This master thesis tries to make a contribution to
scale up this important process by using acoustic
detection of animals using deep learning on
embedded systems.
Art der Arbeit: 50% Deep Learning, 30% Embedded Dev, 20% Benchmark
Voraussetzungen: ML & DL Basics, Signal Processing, Python
Aufwand: MA, 1 Person
Ansprechperson : fabian.schenkel@scs.ch
6 Zürich 07.10.2019 © by Supercomputing Systems AG CONFIDENTIAL
Deep Learning for Estimating the Rail-Wheel Forces of an ICN
based on Track Geometry
Tilting trains can travel at higher speeds without degrading the passenger
comfort. However, these higher speeds lead to larger rail-wheel interaction
forces. This larger forces have to be monitored in order to maintain general
safety (e.g. to prevent derailment).
This thesis tries to make a contribution to a cost
efficient monitoring system. The goal is to learn the
train characteristics with a deep learning network so
that it can process track geometry data and predict
the resulting forces.
Art der Arbeit: 30% DL Theory, 15% Theory Rail/Wheel Interaction,
40% Implementation, 15% Benchmark
Voraussetzungen: ML & DL Basics, Signal Processing, Python
Aufwand: BA/MA, 1-2 Personen
Ansprechperson : fabian.schenkel@scs.ch
7 Zürich 07.10.2019 © by Supercomputing Systems AG CONFIDENTIAL
Automatisierte Anamnese von Heizungen und
Gebäudeenergieanlagen
In der Schweiz besteht ein grosses
Energieeffizienzpotential in Gebäuden. Bestehende
Heizungsanlagen sind heute oft nicht ideal eingestellt,
weisen Mängel auf oder sind gar dysfunktional.
Zur Detektion dieser Mängel soll ein Prototyp eines
automatisierten Anamnese-Systems aufgebaut werden,
welches aufgrund von sensorischen Messgrössen
(primär Temperaturfühler) die Anlage identifiziert, auf
Fehler analysiert und eine Liste von
Handlungsempfehlungen generiert, um das System zu
verbessern.
Art der Arbeit: 40% Theorie, 60% Umsetzung
Voraussetzungen: Signalverarbeitung, Programmierung
Aufwand: MA, 1-2 Personen
Ansprechperson : fabian.schenkel@scs.ch
8 Zürich 07.10.2019 © by Supercomputing Systems AG CONFIDENTIAL
Detektion von Kabelfehlern in der Aussenanlage
Eine Herausforderung beim Betrieb von Bahnstrecken ist die Überwachung von
Elementen (z.B. Weichen) und deren Verkabelung. Ein weit verbreitetes
Verfahren ist die Überwachung der Adern durch einen Ruhestrom. Speziell bei
den heute immer noch weit verbreiteten Lösungen auf Relaisbasis ist die
Überwachung des Stromes sehr eingeschränkt.
In der vorliegenden Arbeit soll ein Verfahren
konzipiert, aufgebaut und bewertet werden, das
es erlaubt, rückwirkungsfrei einen Rückschluss
auf die bestehende Verschaltungen der
vorliegenden Aussenanlage zu geben, und
damit den Betrieb und Instandhaltung bei der
Fehlersuche unterstützen.
Art der Arbeit: 30% Theorie, 40% Algorithmus, 30% Erprobung
Voraussetzungen: Signalverarbeitung
Aufwand: MA, 1-2 Personen
Ansprechperson : fabian.schenkel@scs.ch
9 Zürich 07.10.2019 © by Supercomputing Systems AG CONFIDENTIAL
Self-Calibration for Embedded Stereo Vision System
Stereo Vision allows accurately measuring scenes in 3D
– provided that the cameras are well calibrated. Harsh
industrial or automotive contexts affect opto-mechanical
properties of the stereo-rig and its measurement
accuracy.
The goal of this thesis is to explore, test and analyze
different methods and algorithms for continuous stereo-
vision calibration. The solution has to determine the
extrinsic and intrinsic camera parameters without any
markers or reference objects.
Art der Arbeit: 40% Theory, 40% Implementation, 20% Benchmarking
Voraussetzungen: Computer Vision, OpenCV
Aufwand: MA, 1 Person
Ansprechperson : fabian.schenkel@scs.ch
10 Zürich 07.10.2019 © by Supercomputing Systems AG CONFIDENTIALVirtual Reality as 3D Ground Truth Generator for AI, Machine
Learning and Deep Learning
Training effective Artificial Intelligence (AI) algorithms today often requires large
amounts of ground truth data. Typically, this is a laborious, costly and time-
consuming process. These problems can be overcome by combining AI with
Virtual Reality (VR): VR creates artificial
environments that often resemble our real world.
This project aims at exploring the potential of VR
as 3D ground truth generator for state-of-the-art
Machine Learning (ML) and Deep Learning (DL)
algorithms.
Art der Arbeit: 50% Research, 20% SW Development, 30% Benchmarking
Voraussetzungen: Machine Learning & Deep Learning Basics, Python, Matlab
Aufwand: MA, 1-2 Personen
Ansprechperson : fabian.schenkel@scs.ch
11 Zürich 07.10.2019 © by Supercomputing Systems AG CONFIDENTIALGenerating 3D Indoor Maps Autonomously Through
Reinforcement Learning
In September 2017, Unity Technologies released the first open beta of the Unity
Machine Learning Agents Toolkit. With this toolkit, it is possible to train agents to
solve a specific task in a simulated environment. But how complex can a task in
such a simulated environment be, which we want to solve? To explore this issue,
we want to train an agent using reinforcement
learning that can be used to autonomously move
an unit through a room. At the same time, the
agent should be able to scan the room and
generate a 3D map of it.
Art der Arbeit: 30% Theorie, 70% Umsetzung
Voraussetzungen: Machine Learning, CV Basics, Unity Basics, C#, Python
Aufwand: MA, 1-2 Personen
Ansprechperson : fabian.schenkel@scs.ch
12 Zürich 07.10.2019 © by Supercomputing Systems AG CONFIDENTIALDecentralized Ledger eVoting System
eVoting is an unsolved problem, mainly because of security concerns connected
to centralized IT systems. Blockchain technology enables new ways to solve IT
problems in a transparent, tamper-proof and decentralized way.
This master thesis aims at implementing a
voting solution that scales to Swiss national
votes. The technologies to be used could
include zero knowledge proofs (zk-SNARKS),
homomorphic encryption and smart contracts
on a public blockchain (i.e. ethereum).
Art der Arbeit: 60% Theory, 40% Implementation
Voraussetzungen: Cryptography, Blockchain
Aufwand: MA, 1-2 Personen
Ansprechperson : fabian.schenkel@scs.ch
13 Zürich 07.10.2019 © by Supercomputing Systems AG CONFIDENTIALBuilding a new Ecological and Private Cryptocurrency
encointer proposes a new blockchain-based cryptocurrency with an ecological
consensus mechanism using trusted execution environments and an egalitarian
money supply policy, where money issuance is done by individuals attending
randomized pseudonym key signing events. encointer also features scalable
private transactions and trustless off-chain
smart contracts.
This thesis shall build an encointer
testnet based on Hyperledger Sawtooth.
Art der Arbeit: 30% Theorie, 70% Umsetzung
Voraussetzungen: Blockchain basics, Go
Aufwand: MA, 1-2 Personen
Ansprechperson : fabian.schenkel@scs.ch
14 Zürich 07.10.2019 © by Supercomputing Systems AG CONFIDENTIALSoftware-Architecture for SDR (Software Defined Radio)
Alle aktuellen SDR Softwarepakete haben Einschränkungen. Es gibt GNU Radio,
welches kompliziert und schwierig zu bedienen ist, und es gibt verschiedene
SDR GUIs, welche jedoch nicht einfach erweiterbar sind. Das Ziel ist eine
einfach zu bedienende Software zu erstellen, welche es ermöglicht, Radiosignale
zu analysieren und Algorithmen auszuprobieren.
Fertige Abläufe sollen dann auf Knopfdruck
in eine C-Datei exportiert werden können, um
eine Integration in Embedded Systeme so leicht
wie möglich zu gestalten.
Art der Arbeit: 10% Theorie, 90% Software Engineering
Voraussetzungen: C/C++ oder C#, GUI design (MVVM, WPF, QT oder Web)
Aufwand: SA, 1-2 Personen
Ansprechperson : fabian.schenkel@scs.ch
15 Zürich 07.10.2019 © by Supercomputing Systems AG CONFIDENTIALAI-based Golf-Coach with Automated Swing Analysis
Der Golfschwung gilt als einer der komplexesten Bewegungsabläufe aller
Sportarten. Für den Amateurgolfer besteht die Schwierigkeit darin, bei einem
Fehlschlag den Fehler in seiner Bewegung zu erkennen und zu korrigieren.
Das Ziel dieser Arbeit ist die automatisierte
Analyse des Bewegungsablaufs des
Golfspielers anhand von Filmaufnahmen,
gezieltes Erkennen fehlerhafter Muster, sowie
das Ausgeben von Korrekturvorschlägen.
Art der Arbeit: 20% Theorie, 70% Umsetzung, 10% Benchmarking
Voraussetzungen: Interesse an Computer Vision und SW-Entwicklung
Aufwand: SA/BA/MA, 1-2 Personen
Ansprechperson : fabian.schenkel@scs.ch
16 Zürich 07.10.2019 © by Supercomputing Systems AG CONFIDENTIALFlexible FPGA-based Test Equipment to Model and Characterize
the Real-Time Behavior of an Ethernet Ring
In this work, flexible test equipment for Ethernet network
hardware and firmware shall be evaluate and
commissioned.
The goal is to model and characterize an Ethernet
network based on BroadR-Reach with ring topology and
HSR protocol for its real-time behavior.
The test equipment could be based on devices available
at http://netfpga.org. Extensions may be developed to
further improve functionality.
Art der Arbeit: 40% Theorie, 60% Implementation
Voraussetzungen: Ethernet Networks, FPGA Implementation, SW, Testing
Aufwand: SA, 1-2 Personen
Ansprechperson : fabian.schenkel@scs.ch
17 Zürich 07.10.2019 © by Supercomputing Systems AG CONFIDENTIALJogging with Acoustic Feedback based on Body Rhythms
Jogging has become very popular in recent years, with millions of people across
the world integrating it into their regular exercise regime. Many, however, do so
with poor movement coordination, particularly in terms of the synchronization of
body rhythms such as cadence, breathing and heartbeats.
In this Master’s thesis, we aim to develop a digital
application that will support runners in finding their
natural jogging ‘groove’ by providing them with
acoustic, real-time feedback on their individual
style and technique.
Art der Arbeit: 20% Theory, 60% Design/Implementation, 20% App Dev
Voraussetzungen: Programming basics, Enthusiasm
Aufwand: MA, 1-2 Personen
Ansprechperson : fabian.schenkel@scs.ch
18 Zürich 07.10.2019 © by Supercomputing Systems AG CONFIDENTIALPrivacy Preserving OAuth Service with TEEs
If we use Google, Facebook, or SwissID logins for third party sites, these login
providers get to know when we log into which service. Moreover, the user has
only little control over which data from her/his Google or Facebook accounts are
shared with the service she/he's logging into.
The goal of this thesis is to build a blind Oauth
service using a Trusted Execution Environment,
which can be easily integrated into third party
sites just like the above mentioned services.
Art der Arbeit: 30% Theory, 70% Implementation
Voraussetzungen: Rust
Aufwand: MA, 1 Person
Ansprechperson : fabian.schenkel@scs.ch
19 Zürich 07.10.2019 © by Supercomputing Systems AG CONFIDENTIALEnhanced Body Control through Body Tracking and Data
Visualization
Currently, especially athletes and tech geeks are using tools that allow to
measure and track body functions like pulse, blood pressure, or respiration.
However, the trend towards measurement of bodily functions is increasing
steadily, while the possibilities of data acquisition are constantly being extended.
The goal of this work is to develop a new tool that
allows a human to learn to control non-visible
body functions through visual feedback provided
by the tool. If the project is successful, the goal is
to show the final work in an art exhibition.
Art der Arbeit: 40% Theory, 60% Implementation
Voraussetzungen: Data visualization
Aufwand: SA/BA/MA, 1-2 Personen
Ansprechperson : fabian.schenkel@scs.ch
20 Zürich 07.10.2019 © by Supercomputing Systems AG CONFIDENTIALDeveloping a Payed Web Service that Guarantees no Data
Collection
What happens with our data when you log-in to an online service, e. g. over a
smartphone app? Is your complete usage profile forwarded to the company?
The goal of this thesis is to evaluate an approach that obfuscates the actual
usage of a service, while maintaining the
possibility to restrict access to paying
customers. The idea is to run the login
process on a Trusted Execution
Environment. What happens inside the TEE
cannot be seen by the company running the
service, not even by an admin.
Art der Arbeit: 30% Theory, 70% Implementation
Voraussetzungen: Interest in privacy, Openness to work with new technologies
Aufwand: MA, 1 Person
Ansprechperson : fabian.schenkel@scs.ch
21 Zürich 07.10.2019 © by Supercomputing Systems AG CONFIDENTIALSupercomputing Systems AG info@scs.ch +41 43 456 16 00 Vision meets reality. Supercomputing Systems AG Phone +41 43 456 16 00 Technopark 1 Fax +41 43 456 16 10 8005 Zürich www.scs.ch
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