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B-huset

Institutionen för systemteknik (ISY) är central inom olika ingenjörsutbildningar både vad gäller baskunskaper och tillämpade kurser. Forskningen baseras främst på industriella behov och spänner från helt grundläggande frågor till mera applikationsnära frågor.

Grundutbildning

Institutionen erbjuder cirka 100 olika kurser inom fyra grundutbildningsområden: Bild, Elektronik, Reglersystem och Telekommunikation. Inom universitetets program finns ett antal inriktningar som vi koordinerar.

Forskning

Forskning och forskarutbildning bedrivs inom ämnesområdena: Datorseende, Elektronik och datorteknik, Fordonssystem, Informationskodning, Kommunikationssystem och Reglerteknik.

Examensarbete

Här finns också information om hur man hittar och gör examensarbete hos oss.

Framläggningar

2026-06-08 kl 13:15 i Stora Visionen

Mer än en nödlösning: En teknisk och ekonomisk studie av gasturbinbaserad reservkraft

Författare: Ida Edin, Karl Johansson
Handledare: Carl Steen
Examinator: Christofer Sundström
Nivå: Avancerad (30hp)
2026-06-08 kl 14:15 i Transformen

Structured Pruning for Efficient Transfer Learning on Edge Devices

Författare: Isak Warnstad
Opponent: Anna Cakste
Handledare: Ioannis Athanasiadis
Examinator: Mårten Wadenbäck
Nivå: Avancerad (30hp)
2026-06-08 kl 15:00 i ISY Kärnan

Data-Driven Analysis of Complex Measurement Data to Support Efficient Testing Processes

Författare: Varun Gurupurandar
Opponent: Adam Roos
Handledare: Supratim Manna
Examinator: Arunava Naha
Nivå: Avancerad (30hp)

The work is conducted in collaboration with Toyota Material Handling in Mjölby and focuses on developing a scalable, end-to-end data pipeline capable of transforming raw multi-source sensor data into a structured format suitable for machine-learning-based energy estimation. Despite the availability of large heterogeneous data for electric forklifts, there is a lack of efficient methods to handle such data. This thesis investigates methods for handling heterogeneous time-series data with varying update frequencies in the context of predicting the energy consumption of electric forklifts.
The primary contribution of the thesis is a data-processing framework that aligns and integrates time-series signals — such as current, voltage, and vehicle speed — originating from different sampling rates and acquisition systems. A segmentation and phase-identification methodology is proposed to isolate operational states within the travel scenario, enabling targeted feature extraction relevant to energy-use prediction. Machine learning techniques are applied at multiple stages of the workflow, including data fusion, phase classification, and supervised estimation of energy consumption. The transformed and derived results are stored and visualized using structured Excel outputs to support further analysis and validation.
The outcomes demonstrate that consistent preprocessing of heterogeneous sensor streams is critical for accurate energy-consumption modeling, and provide a foundation for future predictive systems in material-handling applications.
2026-06-08 kl 15:15 i ISY Visionen Stora konferensrummet

Semantic Segmentation of LiDAR Point Clouds Using Image Annotations

Författare: Johanna Nilsson
Opponent: Alexander Berntsson
Handledare: Anmar Karmush
Examinator: Yonghao Xu
Nivå: Avancerad (30hp)
2026-06-09 kl 08:15 i ISY Visionen, stora konferensrummet

Investigation of Using Weak Labels for Instance Segmentation

Författare: Alexander Berntsson
Opponent: Johanna Nilsson
Handledare: Nathaniel Helgesen
Examinator: Maria Magnusson
Nivå: Avancerad (30hp)
2026-06-09 kl 10:00 i Systemet

Analysis of Compromising Emanations in a Commercial Quantum Key Distribution System

Författare: Arvid Sjöblom
Handledare: Martin Clason
Examinator: Joakim Argillander
Nivå: Avancerad (30hp)
2026-06-09 kl 10:00 i Stora Visionen

Semi-Autonomous Aircraft Tug Docking Function

Författare: Oscar Johansson
Opponent: Jonathan Norrestam
Handledare: David Axelsson
Examinator: Erik Frisk
Nivå: Avancerad (30hp)
2026-06-09 kl 10:00 i Transformen

Accurate Replaying of Simulations in Non-Deterministic Physics Engines

Författare: Anton Nilsson
Opponenter: Lukas Jarmyr, Linus Överhem Eriksson
Handledare: Daniel Spegel-Lexne
Examinator: Ingemar Ragnemalm
Nivå: Avancerad (30hp)
2026-06-09 kl 14:15 i Visionen Stora Konferensrummet

Algorithms for Sonifying Objects into Spatial Audio using Head-Related Transfer Functions

Författare: Simon Hansson
Opponent: Philip Gustafsson
Handledare: Arvind Balachandran, Lars Nielsen
Examinator: Per-Erik Forssén
Nivå: Avancerad (30hp)
2026-06-09 kl 15:15 i Transformen

Implementation of a Framework for Real-Time Model Predictive Control

Författare: Astrid Lauenstein
Opponent: Leo Jarhede
Handledare: Joel Wikner
Examinator: Daniel Axehill
Nivå: Avancerad (30hp)
2026-06-09 kl 15:15 i Nollstället, ISY

Protecting Digital Game Integrity: Exploring Similarity Detection Methods to Ensure Authenticity for Small Game Platforms

Författare: Hannah Bahrehman, Jenny Hanås
Opponent: Thea Borg
Handledare: Martin Clason
Examinator: Joakim Argillander
Nivå: Avancerad (30hp)

In a world of computers, data integrity is of utmost importance. To know where the information published online truly originates is becoming an increasingly difficult task. One place where this may be a problem is in the gaming world, where piracy is a common issue.
In this master's thesis, the work is performed on a platform for small games, where the authenticity of games has been compromised, as games can be copied, modified, and republished under a different author's name.
To determine if a malicious copy has been made, this report explores pairwise similarity detection methods to ensure authenticity.
Similarity metrics were constructed from raw game data, game logic, and graphical appearance using fuzzy hashing, Abstract Syntax Trees (AST:s) with the Zhang–Shasha algorithm, and color histograms compared using cosine distance and earth mover's distance.
The methods were evaluated using four datasets: popular game groups, near-copy games, manually selected distinct games, and 100 unlabeled games.
Pairwise similarity metrics generally distinguished games within the same group from those outside it.
Combined pairwise similarity measures analyzed using Kernel Principal Component Analysis (KPCA) and Multi-Dimensional Scaling (MDS) preserved meaningful group structure and successfully detected near-copy games.
KPCA on the quantitative dataset showed short distances between games of similar level design and color scheme.
The main contribution of this thesis is the demonstration that combined feature-based similarity metrics can capture meaningful relationships between games and show promise as a tool for detecting copied games, particularly near-copy variants.
2026-06-09 kl 15:15 i Systemet

Estimation of Rolling Resistance of Heavy-Duty Battery Electrical Vehicle with Physics Informed Neural Network Variations

Författare: Emil Alakulju
Opponent: Patrik Modorato
Handledare: Oskar Lind Jonsson
Examinator: Lars Eriksson
Nivå: Avancerad (30hp)
2026-06-10 kl 09:00 i ISY Systemet

Radar for Agricultural Machinery Applications

Författare: Amanda Falk, Oskar Persson
Handledare: Pratiti Paul
Examinator: Diana Pamela Moya Osorio
Nivå: Avancerad (30hp)
2026-06-10 kl 10:15 i ISY Visionen, stora konferensrummet

Impact of Multiple Variable Integration Times on Single-Frame Non-Uniformity Correction

Författare: Henry Yström
Opponent: Ture Pontén
Handledare: Nathaniel Helgesen
Examinator: Amanda Berg
Nivå: Avancerad (30hp)
2026-06-10 kl 10:15 i Transformen, ISY

Externalizing State in Radio Access Network (RAN)

Författare: Sandra Faraj
Opponent: Roberto Wilnerzon Thörn
Handledare: Didrik Bergström
Examinator: Joakim Argillander
Nivå: Avancerad (30hp)
2026-06-10 kl 13:15 i Systemet

SE-VF: Security Estimations for Video Fingerprinting

Författare: David Rotander
Opponent: William Kaul Aronzon
Handledare: Gustaf Åhlgren
Examinator: Joakim Argillander
Nivå: Avancerad (30hp)
2026-06-10 kl 15:00 i Systemet

A Comparative Study on Monocular Visual Representations for Reinforcement Learning-based Target-Reaching UAV Navigation

Författare: Emil Hägred Koverberg
Opponent: Stina Ankarberg
Handledare: Pavlo Melnyk
Examinator: Leif Haglund
Nivå: Avancerad (30hp)
2026-06-10 kl 15:15 i Stora Visionen

Excitation and Estimation for Adaptive Control of a Supersonic Missile

Författare: Mattias Uvesten, Emil Wallbom
Examinator: Anders Hansson
Nivå: Avancerad (30hp)

Most missile systems today use model based controllers. The performance of
such controllers will be determined by the accuracy of the model compared to
the true system. If production is scaled up or the production cost of the mis-
siles produced needs to be decreased, there will be a larger deviation between
individual missiles. One way to mitigate the problem of model uncertainties is
to use an adaptive controller where the control law changes in order to improve
performance mid flight.
In this thesis, such methods will be explored in combination with methods that
force adaptation to be rapid and accurate. For the missile to gather useful infor-
mation to be used during adaptation of the control law it will have to manoeuvre
somehow and compare its motion to the predicted motion. Given that the goal
of a missile launch is to strike a target the performance in the later stage is more
important than the initial performance, therefore it is important that adaptation
happens early. Thus, initial excitation through Optimal Experiment Design is
considered. Another method of mitigating the risk of poor performance late in
the mission stage is to enforce persistence of excitation throughout the entire
flight and constantly adapt to changes in parameters.
The adaptive controllers in this thesis are indirect, meaning that aerodynamic
coefficients are estimated and then used in a new model based control synthesis.
Two estimation methods are considered, Recursive Least Squares and the Predic-
tion Error Method. The considered controllers are: an Adaptive Gain Scheduled
Linear Quadratic Controller, Adaptive Model Predictive Controller and a Persis-
tently Exciting Adaptive Model Predictive Controller.
The results show that performance is improved with the adaptive strategies. What
is also found is that the robustness of the adaptive schemes is higher than the
pre-implemented Gain Scheduled Linear Quadratic Controller via Monte Carlo
Simulations.
2026-06-11 kl 09:15 i Stora Visionen

Information-Theoretically Secure Real-Time Voice Communication – An Experimental Study of QKD-Based Audio Transmission Using Opus

Författare: Lukas Jarmyr, Linus Överhem Eriksson
Opponent: Anton Nilsson
Handledare: Martin Clason, Guilherme B. Xavier
Examinator: Joakim Argillander
Nivå: Avancerad (30hp)

This thesis investigates the feasibility of Quantum Key Distribution (QKD)-secured
real-time voice communication using One-Time Pad (OTP) encryption and Wegman-Carter
authentication. While QKD enables theoretically secure key exchange, the limited key gen-
eration rate introduces challenges for bandwidth-intensive real-time applications such as
voice communication.
To evaluate these challenges, a prototype voice communication system was designed
and implemented using Opus audio compression, RTP-based transport, OTP encryption,
and simulated QKD-generated keys. The system was experimentally tested and evaluated
under varying audio bitrates and packet loss conditions. Performance was assessed using
objective speech quality metrics, including STOI and PESQ, as well as latency, jitter, packet
loss, and subjective intelligibility evaluations.
The results show that low audio bitrates between 5 and 8 kbps provided the best bal-
ance between speech intelligibility and cryptographic sustainability. At higher bitrates,
the limited QKD key generation rate caused significant packet loss due to key starvation,
resulting in substantial degradation of audio quality. The system also demonstrated mod-
erate resilience to packet loss at the identified viable bitrate. Furthermore, the addition of
Wegman-Carter authentication introduced measurable but limited performance overhead
in terms of latency and jitter.
The findings indicate that QKD-secured voice communication is technically feasible
under constrained bitrate conditions, but that system scalability is strongly limited by the
available key generation rate. The results further show that increasing bitrate or adding
authentication overhead can lead to packet loss caused by cryptographic key starvation,
which negatively affects speech quality and communication stability. The study highlights
the trade-off between cryptographic security and real-time communication performance in
QKD-based systems.
2026-06-11 kl 10:00 i ISY Nollstället

Model Predictive Path-Following Control for Fixed-Wing UAVs

Författare: Henric Johansson, Oliver Nimnuan Almgren
Opponenter: Mattias Uvesten, Emil Wallbom
Handledare: Duy-Nam Bui
Examinator: Johan Löfberg
Nivå: Avancerad (30hp)
2026-06-11 kl 10:00 i Systemet

Effective use of the Electomagnetic Spectrum

Författare: Niklas Lennarth Greger Eriksson
Opponent: Oscar Wilkens
Handledare: Martin Andersson
Examinator: Danyo Danev
Nivå: Avancerad (30hp)
2026-06-11 kl 10:15 i ISY Transformen

Backlash Modelling, Estimation and Control in Heavy-Duty Electric Powertrains

Författare: Edvin Johansson, Anas Obisi
Opponenter: Simon Eriksson, William Sturk
Handledare: Oskar Lind Jonsson
Examinator: Lars Eriksson
Nivå: Avancerad (30hp)
2026-06-11 kl 13:15 i Zulu

Sim-to-Real Evaluation of Pallet Slot Corner Detection and Tracking Using Deep Neural Networks

Författare: Ferdinand Kouhia, Adil Shamji
Opponenter: Tobias Berglind, Oscar Sandblom
Handledare: Bryan Adams
Examinator: Mårten Wadenbäck
Nivå: Avancerad (30hp)
2026-06-11 kl 14:00 i Systemet

Online Suspension Parameter Estimation for Improved Road Roughness Estimation

Författare: Stina Ankarberg
Opponent: Emil Hägred Koverberg
Examinator: Fredrik Gustafsson, Chenglong Li
Nivå: Avancerad (30hp)
2026-06-11 kl 14:00 i Transformen(3A:494)

Predictive Control of Electric Machine Cooling System for Extended Lifetime and Performance

Författare: Simon Eriksson, William Sturk
Opponenter: Edvin Johansson, Anas Obisi
Examinator: Anders Hansson
Nivå: Avancerad (30hp)
2026-06-11 kl 15:15 i Stora Visionen

Optimal Control-Based Motion Planning for Autonomous Forklift Pallet Pick-up

Författare: Matej Brtan, Oskar Herling
Opponenter: Ferdinand Kouhia, Adil Shamji
Handledare: David Axelsson
Examinator: Erik Frisk
Nivå: Avancerad (30hp)
2026-06-11 kl 15:15 i ISY Systemet, B-huset

FPGA Implementation of a Non-Negative Least Squares Accelerator Using Floating-Point Arithmetic - A Fast Projected-Gradient Approach

Författare: Wilhelm Hedestad
Opponent: Carl Jörgensen
Handledare: Simon Bjurek
Examinator: Oscar Gustafsson
Nivå: Avancerad (30hp)
2026-06-12 kl 09:00 i Systemet

Implementation and Evaluation of Tire Mounted Sensors for Tire Load Estimation

Författare: Victor Snarberg, Ture Valtonen
Handledare: Emanuel Herberthson
Examinator: Fredrik Gustafsson
Nivå: Avancerad (30hp)
2026-06-12 kl 10:15 i Nollstället

How Different Circumstances Affect Random Number Generators on FPGA

Författare: Cornelia Calota
Opponent: Alexander Lindskog
Handledare: Theodor Lindberg
Examinator: Kent Palmkvist
Nivå: Avancerad (30hp)
2026-06-12 kl 13:15 i Systemet

Online Boot Load Estimation Using Barometer and GNSS

Författare: Max Frejd, Jesper Jansson
Handledare: Jakob Åslund
Examinator: Fredrik Gustafsson
Nivå: Avancerad (30hp)
2026-06-12 kl 15:15 i ISY Transformen, B-huset

Resource-Efficient Digital Upconverter for DVB-C - Enabling Arbitrary Channel Placement on a Resource-Constrained FPGA

Författare: Carl Jörgensen
Opponent: Wilhelm Hedestad
Handledare: Håkan Johansson
Examinator: Oscar Gustafsson
Nivå: Avancerad (30hp)
2026-06-15 kl 10:00 i Transformen

Robust On-board Communication for Forklifts

Författare: Martin Castro Bildhjerd
Opponent: Erik Karlstedt
Handledare: Martin Dahl
Examinator: Danyo Danev
Nivå: Avancerad (30hp)
2026-06-15 kl 10:15 i Hammingrummet

Development and evaluation of IoT solution

Författare: Marcus Björkman, Charlie Karlsson
Opponenter: Jacob Dübois, Gustaf Löfgren
Handledare: Mark Vesterbacka
Examinator: Mikael Olofsson
Nivå: Grundnivå (16hp)
2026-06-15 kl 10:15 i Nollstället

Reckless Riding Detection for Safer Micromobility

Författare: Anna Cakste
Opponent: Isak Warnstad
Handledare: Sara Tehrani
Examinator: Mårten Wadenbäck
Nivå: Avancerad (30hp)
2026-06-15 kl 14:15 i Transformen

Formula-Driven Supervised Learning for Vehicle Classification in SAR Imagery

Författare: Simone Edman
Opponent: Anna Jonsson
Handledare: Pavlo Melnyk
Examinator: Leif Haglund
Nivå: Avancerad (30hp)
2026-06-17 kl 10:15 i Systemet

Performance Evaluation of GUWMANET and Zigbee-Based Protocols for Underwater Communication

Författare: Thea Antonson
Handledare: Henrik Åkesson
Examinator: Håkan Johansson
Nivå: Avancerad (30hp)
2026-06-18 kl 09:15 i Stora konferensrummet i Visionen,

Virtuell driftsättning av MBR-filter – modellering och verifiering i SIMIT

Författare: Gustaf Löfgren
Opponenter: Marcus Björkman, Charlie Karlsson
Handledare: Jakob Åslund
Examinator: Svante Gunnarsson
Nivå: Grundnivå (16hp)