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A Health Technology Assessment of the Strokefinder MD100 For Early Detection of Stroke and Traumatic Brain Injury in the Western Cape Healthcare System, South Africa
Stroke is the second leading cause of death worldwide, with particularly high prevalence in low- and middle-income countries (LMIC) such as South Africa. Traumatic Brain Injury (TBI) accounts for approximately six million deaths annually and is commonly caused by trauma, an especially significant issue in South Africa (SA), where rates of interpersonal violence and traffic accidents are notably high. The South African healthcare system consists of a private and a public sector. The private sector are profit-driven hospital groups, while the public sector is governmentfunded. The public system operates on a referral-based model, which is not wellsuited to managing time-sensitive medical conditions such as stroke and TBI. This report presents a Health Technology Assessment (HTA) of the Strokefinder MD100 device developed by the Swedish company Medfield Diagnostics AB, within the context of the healthcare system in the Western Cape, South Africa. The HTA is based on an extensive literature review combined with semi-structured qualitative interviews conducted with relevant stakeholders. The findings support the final recommendations for optimal implementation sites of the MD100 with the main purpose of minimising time-to-treatment and thereby improve patient outcomes. With the identified healthcare needs in the Western Cape, the most appropriate implementation sites are identified to be in pre-hospital units, within both private
and public healthcare sectors, or in level 1 hospital facilities lacking CT imaging capabilities within the public healthcare sector
Organising for Circularity in Construction - A Study of the Implementation of Reuse in Swedish Redevelopment Projects
The construction industry is a significant contributor to both greenhouse
gas emissions and waste, and it is facing increasing pressure to reduce its
climate impact. As a result, interest in the circular economy (CE) within
the construction sector is growing. However, the transition towards
circular practices remains in its early stages, and new workflows have not
yet been fully established. This thesis investigates how circular practices
– particularly the reuse of building products and components – can be
effectively integrated into building transformation and redevelopment
projects. The study explores organisational approaches to reuse, aiming to
identify success factors and provide practical examples of methods and
solutions, with a focus on contract types, procurement strategies,
adaptations to the design and construction process, and the management
of reuse-related challenges. The research was conducted as a multiple
case study with an abductive approach, combining a theoretical
framework with empirical data from 11 semi-structured interviews across
three case projects. The findings show that both partnering agreements
with design-build contractors and divided contract structures with
traditional construction contracts can support reuse, though roles and
responsibilities differ. Traditional contracts require clearly defined reuse
requirements, while design-build contracts rely more on contractor
incentives. Reuse also introduces new activities – such as inventory,
disassembly, and quality control – that increase coordination needs and
challenge traditional workflows. Moreover, the study identifies three
main types of barriers to reuse: cultural, regulatory, and financial.
Cultural barriers can be mitigated by fostering shared commitment and
individual engagement. Regulatory barriers remain resource-intensive to
navigate, suggesting a need for simplified regulations and clearer
standards. Financial barriers, often tied to added labour costs, may be
reduced through more efficient reuse processes. Ultimately, the findings
of this thesis provide guidance on how reuse can be organised in practice,
supporting stakeholders involved in future transformation and
redevelopment projects in planning and organising for reuse
Software-Defined Radio Testbed for 6G Research
As the demand on speed, coverage and bandwidth continues to increase for wireless
communications, the sixth generation of mobile networks builds on and extends
existing technologies. There is a testbed at Chalmers University of Technology focusing
on the promising technology of distributed multiple input multiple output
(D-MIMO). This project aims at assisting the D-MIMO testbed by constructing a
flexible user equipment based on a software defined radio. Specifically, this is done
by configuring the USRP B205mini-i, a universal software radio peripheral (USRP)
from Ettus Research, in MATLAB to fully utilize its capabilities in signal processing
and wireless communication. Trough simulations in MATLAB and physical testing
of both wired and wireless transmissions, several key aspects are evaluated: the maximum
bandwidth and its limitations on data rate, the relationship between signal
duration and the on-board memory of the USRP, and the possibility of synchronizing
multiple USRPs. Results show a maximum bandwidth of 41.24 MHz and a
symbol rate of 10.31 Msym/s. Moreover, the result does not show a strict limitation
on the signal duration as the USRP seems to stream data directly to and from
the host computer. Synchronization is possible between two USRPs with a precision
of a few microseconds at best. The USRP B205mini-i proves to be a flexible
and cost-effective candidate for UE in the D-MIMO testbed. However, performance
enhancements, such as lower-level configuration via FPGA programming, may be
necessary depending on future system requirements
Analysis of Electric Conductivity Variance in the Insulation of HVDC Cables
Power cables with insulation based on cross-linked polyethylene (XLPE) are used
in high voltage direct current (HVDC) onshore and offshore power grids to transmit
large amounts of electric energy over long distances. One of the important aspects
to be considered when designing the insulation system of such cables is the
variation of the electric conductivity of the insulation material in radial direction
between the energized conductor and grounded screen. Since the conductivity
of XLPE is dependent on electric field strength and temperature, predicting its
actual changes in the cable is challenging and typically is done based on some
empirical formulas. These, however, do not take into account the effect of the
diffusion of impurities and byproducts introduced into the material during the
manufacturing process on conductivity variations.
In the thesis, the electric conductivity of XLPE was measured using material samples
taken from continuous peelings of the insulation of a real cable. This allowed
for examining its field and temperature dependencies at different distances from
the conductor, i.e. at different contents of byproducts. The experimentally obtained
material properties were further utilized as input for a computer model,
which was developed to analyze the dynamics of space charge accumulation and
corresponding electric field in the cable. The results outlined in the thesis are
essential for improving the design rules for HVDC cables to ensure their reliable
and safe operation
Development of a Lightweight Fixed-Wing Drone for Early Situational Awareness in Critical Applications
This thesis explores the development of a lightweight, sub-250 g fixed-wing drone intended
for early situational awareness in emergency response scenarios. Conducted
in collaboration with Remote.aero and the Swedish Sea Rescue Society, the work
focuses on concept development, aerodynamic optimization, prototyping and validation
through flight testing. An extensive benchmarking study identified key design
parameters and trade-offs for tailless UAVs. Utilizing XFLR5 aerodynamic simulations,
the study optimized critical design variables, notably aspect ratio, taper ratio
and wing span, to maximize the L/D ratio within the intended flight envelope. Two
prototypes were constructed using 3D printing, confirming theoretical predictions
and demonstrating competitive performance during flight tests. The final prototype
achieved a stall speed below 8 m/s, a maximum estimated endurance of approximately
43 minutes at loiter speed of 10 m/s, and a maximum estimated range of
55 km at a cruise speed of 25 m/s. The maximum L/D ratio was 16, at a loiter
speed of 11 m/s. Its low intrinsic ground risk classification (iGRC 1) under current
regulations simplifies deployment in both urban and rural settings, allowing it to
compete with heavier systems while offering critical regulatory advantages. However,
flight testing revealed that the reduced mass of the drone makes it sensitive to
wind gusts, limiting reliable flight at wind speeds exceeding approximately 10 m/s
unless additional airspeed margins are maintained. Ultimately, the design met all
other requirements and could carry out a typical mission profile with ease, fulfilling
the purpose of the projec
PPP solutions for prefabricated modular housing in post conflict Syria
Syria’s prolonged conflict has left over one-third of its housing stock damaged or destroyed and
displaced more than 13 million people. Traditional reconstruction methods are too slow, costly, and
institutionally demanding for Syria’s current fragile context. This thesis explores the potential of
combining Public-Private Partnerships (PPPs) with modular prefabricated housing as a feasible
solution for large-scale, affordable housing delivery in post-conflict Syria.
The study employs a qualitative methodology based on a systematic literature review and six semi structured
interviews with stakeholders from development institutions, the private sector, academic
researcher, NGOs and International banking institutions. It identifies a key research gap in
integrating PPP financing with modular construction technologies in fragile states.
Findings show that modular housing offers significant benefits, including speed, cost-efficiency,
reduced labor needs, and quality control. However, its application in Syria faces multiple barriers,
high capital costs, cultural resistance, legal ambiguity, and weak institutional capacity. The research
shows that context-adapted PPP frameworks, utilizing tools such as Islamic finance instruments
(e.g., Ijara, Istisna), minimum revenue guarantees, and lifecycle-based blended financing, can help
mitigate these risks.
The thesis proposes a pilot PPP model to be implemented on secure, state-owned land in relatively
stable areas like Aleppo or Homs countryside. The model emphasizes phased implementation, local
authority engagement, and transparent governanc
Defining attractive cities with focus on social sustainability and aesthetics; examination of the redevelopment of Selma Lagerlöfs torg
Creating attractive cities is a complex process, where the urban environments play a
central role in shaping the everyday experiences of their inhabitants. The surroundings
affect people's social interactions, economic opportunities and overall quality of life.
The aim of this study is to define what the concept of attractiveness in urban spaces is,
with focus on aesthetics and social sustainability. This is examined through a literature
study of urban theories and policy documents, particularly policies of the New
European Bauhaus (NEB), Gestaltad Livsmiljö (GL), and the Architectural Policy of
Gothenburg (AP), and the urban theory Life between buildings by Jan Gehl.
Attractiveness is further studied through a case study at Selma Lagerlöfs torg in
Gothenburg. This case study compares perceptions from both a project management
perspective and from a residential perspective after the redevelopment. This was done
through an interview study with 10 main contributors to the project, and site visits with
a survey study, which was answered by 59 residents in the area.
The results of this study show that an attractive city is not solely characterized by visual
qualities, but also by its capacity to promote social sustainability, inclusiveness, and
aesthetics. To plan an attractive city the process of urban development must be an
iterative, inclusive, human centred and context aware process, creating inclusivity with
the contemporary and future locals in the area.
Selma Lagerlöfs torg was overall a successful project, appreciated both by main
contributors and by locals in the area. However, none of the policy frameworks were
consciously used when planning the redevelopment, only the theories by Gehl were
partly considered. This concludes, that while policy and theory provide valuable
guidance true attractiveness ultimately depends on how spaces are perceived, used, and
lived in by diverse groups over time
Implementation and Stability Analysis of Synthetic Inertia for Inverter-Based Energy Resources
Abstract
Inverters are being integrated into power systems around the world at a rapid pace due to the shift from traditional energy sources to renewable sources such as wind and solar power. As the number of inverters increases, the inertia in the system with respect to the power level decreases. Since frequency stability in power systems heavily relies on the kinetic energy stored in rotating masses to provide inertia, such as synchronous generators which are now being partly phased out, it may become necessary for inverters to provide synthetic inertia as well.
This thesis work includes the implementation of grid following and grid forming inverters together with an external grid of variable strength and an island grid constituted of a hydro power generator. The simulations are carried out in Matlab and Simulink. The implementation is based on the theory of existing methods and includes an important definition of synthetic inertia, namely that it is proportional to the rate of change of frequency. Contrary to fast frequency response which is proportional to frequency deviation. The models were then tested against grid frequency disturbances to analyze how aggressively the system could be tuned while still maintaining stability. The results showed that grid following inverters are highly dependent on the strength of the external grid, mainly because of their need to synchronize their own frequency with the grid. When operating in synthetic inertia mode, the grid following inverter stability region increased linearly between proportional gain and the filtering time constant. When providing active power based on frequency deviation, the stability
decreased as the filtering increased. The grid forming inverter was highly dependent on its droop constant to remain stable where as the droop constant increased, the stability decreased
CFD Simulation of a Semi-Submersible Floating Wind Platform in Waves. Balancing Accuracy and Efficiency in Simulation of Wave-Structure Interaction
Offshore wind power is a promising solution for large-scale renewable energy production, offering benefits such as abundant offshore space and higher energy output. One type of floating platform is semi-submersibles, which combine buoyancy stabilization with catenary mooring systems. This thesis presents the development of a numerical model of the YFloat semi-submersible floating offshore wind platform using the CFD software StarCCM+, intending to achieve a balance between computational efficiency and solution accuracy.
To support model development, initial wave simulations were conducted without the floater to investigate mesh requirements for accurately capturing wave-induced currents and wave heights. The results indicated that capturing the wave-induced current required a fine mesh with at least 25 cells per wave height and 132 cells per wavelength, while wave heights could be represented adequately with a significantly coarser mesh.
Consecutive full-scale simulations included the floater and were validated against experimental model test data. A free decay simulation was used to confirm the floater’s dynamic properties, showing less than 5 % deviation in rotation around the x-axis compared to test results. Simulations in regular waves focused on the spatial and temporal resolution influence on motion responses and wave height. The best compromise between accuracy and efficiency was achieved with 10 cells per wave height and a time step of Δt = 0.02 s. This configuration required 2.8 hours of simulation time, saving 7.3 hours compared to the finest spatial resolution, which took 10.1 hours (a 72.3% reduction), and 9.7 hours compared to the finest temporal resolution, which took 12.5 hours (a 77.6% reduction). The numerical results showed strong agreement with experimental data, validating the CFD model
A Self–Trained Engine for Atomic Chess
This thesis concerns the development of a chess engine to play a variant of chess
called atomic chess, utilizing a neural network. The neural network is modeled after
DeepMind’s AlphaZero, which is a model that learned standard chess from only the
rules, and no real-world games (hence “zero”). We demonstrate an adapted model
that improves its playing strength in atomic chess, given enough training time. This
is done using a deep convolutional neural network, trained with data generated by a
modified Monte Carlo tree search in a process called self-play. These two components
feed each other data in a cycle: the neural network guides the tree search, and the
results of the tree search are then used to train the network, repeatedly. The result
is a trained network that is shown to have improved from the untrained model,
which corresponds to an unguided or randomly guided Monte Carlo tree search.
An extensive background aimed at computer engineering students is also included,
explaining the terms used in the thesis