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Urban design for social cohesion; housing for the displaced
No full textThe year 2015 marked a cornerstone in
Sweden’s history of hosting refugees,
receiving 162,877 asylum applications.
Although the number of applicants decreased
to around 12,000 thanks to changes in migratory
regulations, the future is unpredictable.
The journey of the displaced implies external
forces (e.g., weather disasters, war) that make
it impossible for the person to stay in their
place of origin. These individuals seek asylum
in other nations, but it is a complex process
involving legal, social, and cultural factors.
Additionally, resistance from local populations
poses a challenge to their establishment.
The thesis aims to showcase the importance
of housing as a key factor for the displaced’s
integration on the city scale; as well as open
the dialogue and reflect on the relationship
between the built environment and a cohesive
society.
Following “Research by Design” methodology,
case studies of Swedish reception units (e.g., SällBo)
as well as other European models (e.g., Les Cinq Toits)
were observed.
The thesis extracts design guidelines addressing
collective living, adaptable spaces, visual security,
and other qualities that have good outcomes in
their establishment.
By placing the scenario of a speculative
housing prototype in Gothenburg focused on
the displaced family and individual as well as
potential new residents and visitors, explorations
of design were made with the purpose of merging
conventional spatial rules for dwellings and
local construction regulations with design
guidelines tailored to their needs.
The result is a series of replicable frameworks
for designing dwellings that have a particular
focus on the displaced’s recovery and belonging,
demonstrating the role architects play in addressing
fundamental global issues through prioritizing spaces
for their well-being
Mobile Optical Transmission Simulations - Development of a simulation framework in MATLAB
No full textAbstract
This thesis focuses on developing a robust simulation framework in MATLAB tailored for evaluating optical communication systems in mobile fronthaul networks. Leveraging the Robochameleon library, this research aims to model and analyze systems with high-speed optical links, addressing the increasing capacity demands of modern mobile networks (5G/6G). Critical developments include integrating a precise chirp compensation model to mitigate chromatic dispersion and a printed circuit board (PCB) simulation module for assessing signal degradation in electrical domains. The modular framework supports performance metrics like Bit Error Rate (BER) and Transmitter and Dispersion Eye Closure Quaternary (TDECQ) to validate system reliability. Results illustrate the effectiveness of chirp pre-compensation and signal equalizers in improving link performance while highlighting limitations in addressing severe impairments solely through linear compensations. Furthermore, the inclusion of additional models for signal processing components could significantly enhance the framework’s accuracy and utility, facilitating broader adoption across diverse applications in next-generation optical network design and optimization
Data-driven Development Framework for ADAS and Automation for Marine Applications
No full textThe maritime industry is increasingly adopting Advanced Driver Assistance Systems
(ADAS) and automation, drawing inspiration from progress in the automotive
sector. Applying these technologies to marine environments, however, introduces
unique challenges such as sensor limitations, unpredictable conditions, and the lack
of standardized validation methods.
This thesis presents a data-driven framework to support the testing and validation of
marine ADAS/AD (Autonomous Driving) systems. The framework focuses on data
logging, structured data handling, and the use of Key Performance Indicators (KPIs)
as objective measures of performance. In collaboration with Volvo Penta and Volvo
GTT (Group Trucks Technology), a proof of concept was developed around two
representative features, with relevant KPIs defined. The framework was partially
implemented on a test vessel equipped with LiDAR (Light Detection and Ranging)
and cameras for perception, a Dynamic Positioning System (DPS) for positioning,
and a high-bandwidth logger to capture raw sensor data during real operations.
While post-test data ingestion, KPI calculation, and KPI-driven refinement were
not completed within the scope of this thesis, these stages are outlined as future
extensions. The work provides a foundation for a systematic, data-driven development
methodology in the marine ADAS/AD domain, bridging the gap between
conceptual design and a fully operational validation pipeline
Jyväskylän Työväentalo - Concept Model
No full textThe workers' hall in Jyväskylä, Finland, was designed by Alvar Aalto and built in 1925. It featured a restaurant in the ground floor and a large theatre/gathering hall in the upper floor. The design was inspired by renaissance Italy, combined with nordic classicism
Grönt, men till vilket pris? Om balansen mellan hållbarhet och ekonomi i offentlig upphandling av bostadsprojekt
No full textSveriges bygg- och fastighetssektor utgör en av de största källorna till
växthusgasutsläpp, vilket gör sektorn central i omställningen till ett mer hållbart
samhälle. Eftersom en stor del av byggandet sker på uppdrag av offentliga aktörer
spelar offentlig upphandling en nyckelroll i att driva denna utveckling. Den här
uppsatsen undersöker hur ekonomiska krav och miljöambitioner balanseras i offentlig
upphandling av bostadsprojekt. Genom att studera praktiska tillämpningar i det
svenska upphandlingssystemet syftar arbetet till att identifiera strategier, verktyg och
hinder för att integrera hållbarhet utan att tumma på kostnadseffektivitet.
Studien bygger på en kvalitativ metod som baseras på sju semistrukturerade intervjuer
med representanter från offentliga beställare, entreprenörer, konsulter och experter.
Den teoretiska ramen utgår från institutionell teori, styrningsperspektiv samt
livscykelbaserade verktyg som livscykelkostnad och livscykelanalys. Resultaten visar
på en tydlig spänning mellan kortsiktiga budgetkrav och långsiktiga hållbarhetsmål.
Även om verktyg som MEAT och klimatkalkyler används, begränsas deras genomslag
av bristande kompetens, uppföljning och standardiserade arbetssätt. Slutsatsen är att
tydligare politiska riktlinjer, högre kompetens och ett starkare institutionellt stöd krävs
för att upphandlingens miljömål inte ska hamna i skuggan av ekonomiska
begränsninga
Investigation of busbar fixation for commercial electric vehicle power distribution unit
No full textIn recent years, the trucking industry has been steadily progressing toward electrification,
opening new avenues for innovation and development. A key component
in this transition is the Power Distribution Unit (PDU), which plays a vital role
in distributing and monitoring electrical power from the battery packs to various
vehicle systems while ensuring protection against short circuits.
This thesis focuses on the development of new concepts for the busbar fixation catalogue
within the PDU. Busbars are conductive elements that must be both securely
fixed and electrically insulated from the surrounding conductive housing. The fixation
solutions must meet stringent mechanical, thermal, and electrical requirements
to ensure product robustness, safety, and compliance with industry standards.
The project follows a structured product development process with an emphasis on
mechanical design. While customer requirements were generalized for company secrecy
and to foster broader innovation, the scope was narrowed to solutions that are
both space-efficient and cost-effective. A concept generation phase was conducted,
resulting in multiple sub-solutions addressing the various functional demands of
busbar fixation.
These concepts were systematically evaluated using selection matrices based on criteria
such as assembly efficiency, material cost, manufacturability, and overall performance.
Three final concepts were selected for further analysis, each offering a
distinct approach to fulfilling the core functional requirements.
A detailed design phase followed, incorporating material selection, 3D CAD modeling,
and computer-aided engineering (CAE) simulations. Special attention was
given to ensuring the design met load-bearing and insulation requirements. A static
structural analysis was performed to verify the chosen solution under maximum
expected load conditions. Throughout the project, iterative evaluations and design
refinements were carried out to ensure the quality and feasibility of the final concept
Will AI revolutionize how knowledge is shared; enhancing knowledge sharing in construction through AI; a case study of Peab
No full textPeabs’ existing knowledge lifecycle starts with the employees creating new knowledge
during the project, and the knowledge is shared in post-project reviews at the
end of the project, however, the documentation from the meeting consisted of only
short sentences and keywords. The reports from the post-project reviews are stored
in locked project platforms and are not shared with the rest of the organisation, and
the knowledge lifecycle is broken. The critical information the interviewees would
like to access in the organisation is solutions that can be applied to a project when
they have encountered an issue related to an activity, material, or technical solution
that the interviewees have not worked with before. This thesis advises on how to
conduct an effective post-project review to gather as much knowledge as possible
from the teams. The thesis also recommends building an organisational knowledge
database that the whole organisation can access and close the knowledge lifecycle.
When the knowledge life cycle is whole, the thesis investigates how the life cycle can
be made more efficient with AI. Three AI tools are recommended for the lifecycle:
a transcription tool to intercept more valuable information from the post-project
reviews, a summarization tool to create descriptive documentation of the transcription,
and a GPT tool to store, search, and distribute the collected knowledge. The
thesis also discussed the social aspects of the post-project reviews and the knowledge
that cannot be collected and shared in the knowledge lifecycle
Atostugan - Njalla
No full textNjallan är en struktur som traditionellt används som förrådsbyggnad av samerna, avsedd för att förvara förnödenheter och andra nödvändiga föremål för det dagliga livet. Vanligtvis byggs denna konstruktion på en stolpe, upphöjd från marken för att förhindra djur från att komma åt förråden. Till skillnad från traditionella konstruktioner är byggnaden i det analyserade fallet dock inte upphängd på stolpar. Istället är den något upphöjd på noggrant staplade stenblock, på vilka hela strukturen vilar.
Vid Atostugan mäter njallan 4 × 4,5 meter. Byggnadens interiör är öppen och odelad, vilket skapar en luftig och rymlig miljö. Det finns inga inre väggar, och strukturen utgörs av en nivå utan några övre våningar. I enlighet med traditionen har den ett sadeltak täckt med träelement och är helt byggd i trä. Materialet som används är grovt och obehandlat, med träets naturliga ojämnheter tydligt synliga både på fasaden och i de bärande konstruktionerna, inklusive stockarna som stödjer taket
MatchThesis - En webbapplikation för matchning mellan studenter och examensarbeten
No full textDenna rapport beskriver utvecklingen av MatchThesis, en webbaserad applikation
med syfte att förenkla processen att matcha studenter med företag och examensarbeten.
Idag sker matchningen mellan studenter och företag genom manuella och
ofta tidskrävande processer. Studenter behöver ofta själva söka och tolka ett stort
antal annonser, medan företag ibland kan ha svårt att nå rätt målgrupp. Detta projekt
undersöker hur denna process kan effektiviseras med hjälp av en webbaserad
matchningsapplikation.
Applikationen är utvecklad som en fullstack-lösning där användarupplevelse har
varit en central del av arbetet. En matchningsalgoritm sorterar både examensarbeten
och studenters profiler utifrån utbildningsprogram och gemensamma intressen
mellan studenten och företaget. Resultatet visar att MatchThesis erbjuder ett användarvänligt,
och vidareutvecklingsbart stöd för matchning av examensarbeten
Using Machine Learning for Predicting Interchanges
No full textIn the bearing industry, identifying equivalent products across different manufacturers
is a complex and time-consuming task, traditionally reliant on expert knowledge
and manual cross-referencing. This thesis explores the feasibility of automating this
process using machine learning techniques. The core challenge lies in predicting an
equivalent bearing designation from a competitor’s product code, which typically
lacks structured attribute data and consists of a single, information-dense string.
To address this, a comprehensive machine learning pipeline was developed, encompassing
feature extraction, encoding, model training, and decoding. The problem
was framed as a multi-label classification task, where suffixes representing product
features were predicted and then used to reconstruct a valid target designation.
Several machine learning models were evaluated, including Random Forests, Support
Vector Machines, k-Nearest Neighbors, and Neural Networks, using both problem
transformation and method adaptation strategies. Random Forests with label
powerset transformation emerged as the most effective approach, offering a strong
balance between accuracy and computational efficiency. The pipeline was further
optimized through domain-specific feature engineering, such as extracting product
size and type indicators, which significantly improved model performance.
Despite inherent limitations in the data—such as inconsistent labeling and sparse
representation of certain suffixes—the results demonstrate that machine learning can
reliably assist in generating bearing interchanges. This approach has the potential
to significantly reduce manual effort and scale the interchange process, making it a
valuable tool for industry practitioners