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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)