Buller är erkänt som det näst största miljörelaterade hälsoproblemet enligt WHO \cite{WHO} och det är därför är det viktigt att skapa goda metoder för att undersöka hur fastigheter påverkas av buller och vibrationer. Detta examensarebete har fokuserat på att undersöka buller och vibrationer i en flervåningsbyggnad orsakat av tågtrafik.One of the modern cities environment issues is noise and vibration created by train traffic, especially since cities today strive towards being more dense. Urbanization leads to new areas built with pre existing railway tracks. This puts a lot of pressure on the structures built on those areas regarding vibrations. Heavy concrete buildings are more resilient against vibrations than light-weight st

Iceland is known for its remote location and rough beauty. In their seclusion, the Icelanders have built an independent and peaceful country. They are undeniably a very unique nation, where police officers are not allowed to carry guns, except on special occasions. The society displays a relaxed attitude towards prisons, which are built without concrete walls around. However, faced with the immens

The idea to artificially enhance our physical abilities has always fascinated humankind and over the cause of history it has resulted in countless important innovations such as wheelchairs and carbon-fiber-reinforced polymer leg prosthetics. By combining electronics and Artificial Intelligence the step towards artificially enhanced limbs has been greatly reduced. This master’s thesis describes the

Idag säljs annonsplatser på hemsidor i allt större utsträckning via realtidsauktioner. Ofta tar det mindre än 100 millisekunder att auktionera ut en annonsplats från det att en användare besöker en hemsida. För någon som vill köpa annonsplatser innebär en effektiv köpstrategi således användandet av algoritmer; mer specifikt krävs snabba algoritmer. Under de senaste två, tre åren har försök gjorts Real-time bidding is getting increasingly popular for buying and selling online display advertisement. This has spurred a research interest into how to design optimal bidding algorithms, with advances during the last two to three years focusing heavily on reinforcement learning. This thesis focuses on creating bidding agent using recent innovations in combining reinforcement learning and deep lear

Dyslexia is a problem that can limit someone’s life if the person does not receive the appropriate support in order to develop strategies to deal with it, and it is not limited to one’s first language. The first limitations appear early in life during the school years as the child struggles with literacy issues. It is in the educational environment where the child will receive the first support a

A method towards a dynamic daylight glare evaluation in the early stage of design was developed in this thesis, using existing glare metrics under multiple observer positions and gazes. The results pointed out that it is possible for a zonal characterization regarding glare sensation to be achieved with the combination of multiple existing metrics and a weighting system, named the adaptation possi

Sömn är en livsnödvändig biologisk process och forskning har länge undersökt dess betydelse för både vår fysiska och psykiska hälsa. Det finns indikationer på att sömnproblem har en särskild koppling till affektiva syndrom såsom depression, men samtidigt har förhållandevis lite forskning undersökt sambandet mellan sömn och emotion. Denna studie syftade till att undersöka förhållandet mellan sömn o

In this thesis we research beamforming capabilities of the UEs equipped with several antennas in a 5G scenario. We define a system model based on the use of phase codebooks that allow to change the radiation patterns of the arrays of antennas installed in the UE. Within this system model, we obtain optimized codebooks in terms of two metrics, which we consider to be of interest in this scenario, e

Utveckling av effektiv drift och underhåll av fastigheter är ett kontinuerligt arbete som pågår under hela fastighetens livcykel. För att en byggnad ska vara energieffektiv så är faktorer som byggnadsskal, primärenergi och lokala förutsättningar av stor betydelse. Byggnadsautomation möjliggör ytterligare besparingar genom att effektivt begränsa energiflöden utan att påverka upplevd komfort hos bru

Augmented reality is a field which is getting increased funding every year, as more businesses are realizing the potential of rendering virtual objects in the real world. As the equipment gets more commercialized, the costs will get lowered while performance also goes up. As of now, augmented reality mostly makes use of plane detection and marker detection to find and locate objects. We want to in

- En undersökning om hur bostäder av trä kan skapa sociala värden i gränssnittet mellan människan och materialen. Examensarbete av Oscar Björkqvist Lunds Tekniska Högskola 2018 Handledare: Maria Rasmussen Examinator: Johnny Åstrand Detta projekt tar sitt avstamp i en idé om kollektiva rum och platser, som kan stärka relationerna mellan människor i ett grannskap. Människor tenderar att uppehålla si

Acknowledging, the research gap within sustainability transitions in analysing the local scale of transition processes, this work primarily, seeks to contribute to sustainability transitions studies by identifying the main factors that are enabling and hindering the materialization of low carbon mobility in Cuenca, Ecuador. The use of a case study as a research strategy and the nature of the rese

Background/introduction: Scania supply chain is responsible for packaging to protect parts during transportation from their suppliers around the world. For many years Scania has used returnable packaging for inbound logistics of automotive parts. Scania packaging can be divided into two groups; namely Standard packaging and Special packaging. Problem description: When introducing a newer solution

Topology optimization with respect to eigenfrequencies is one example of an objective that has been studied extensively for small deformations. Few have however investigated this type of optimization for structures undergoing finite deformations. In this work, we thus expand the topology optimization formulations for eigenfrequency optimization to a nonlinear hyperelastic material model. When wo

In crisis, media plays an important role in connecting people, communicating information and assisting with potential new dimensions, designs and approach. Media representation holds key for ongoing rescue program and upcoming rebuilding program, especially in developing countries where no one knows when the real impact of disaster will come to an end. Moreover, people interest or participation in

The reaction–diffusion equation (RDE) is a natural way of describing a system where there is not only diffusion but also interaction with its surroundings. The RDE has been the topic of interest in previous papers for its usefulness of explaining pattern formations in nature. The static RDE has, in one dimension, the form of a Newton equation. We study a discretized version of this equation, with

Vi har arbetat med trådlös kommunikation för att undersöka en möjlig lösning för att streama video från ett fordon i rörelse till en stationär mottagare. Under våra tester så använde vi video-kodnings standarderna H.264 och MJPEG. Vi testade även att använda både WiFi samt LTE som trådlösa medium för att transportera data mellan enheter. Vi utförde sedermera tester på kombinationer av dessa mediumFor our master's thesis we have worked with a company called Uniti to help them establish a system for communicating with their autonomous vehicle during a public demonstration. This included handling a video feed from the vehicle as well as assuring low latency for said feed. For the purposes of this thesis the targeted latency was below 200ms. In order to construct a solution which met our

We analyze how automatically generated crash reports can be used to aid in the process of software defect categorization. The crash reports are automatically generated logs, which vary widely in both format and in information content. Each crash report used is linked to its corresponding, human-written bug report. The problem is handled as a long text-based classification problem. Several differe

A convolutional neural network (CNN) training framework is described and implemented. The framework is used to train and evaluate an audio classification system, focused on evaluating differences in audio representation. The dataset used is ESC-50, containing 50 different classes of audio. We used SBCNN, a promising architecture suited for embedded systems because of its relatively small size. Sev