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Recently, major infrastructure projects have been started in Denmark and this research tries to answer how social aspects are investigated in planning and analysis work before the big projects are constructed. The research has interviewed representative from the Copenhagen Metro Company and Danish Road Directory to uncover the analysis work and how social aspects are included in their work. The re
Emotion recognition is a relatively new research area within image analysis where machine learning models learn to interpret facial expressions. In this thesis paper the authors have investigated how close to human accuracy selected deep convolutional neural network models can reach on the Emotion Recognition Problem, what the purpose of such an application might be and what compromises can be mad
This study explored the effect of cognitive workload on shooting performance and quiet eye duration (QED) using a Stroop based handgun-shooting task (Stroop shooting). Furthermore, the difference between the reverse Stroop effect and the traditional Stroop effect when shooting based on the Attentional Control Theory was assessed. The methods used were partially based on previously published resear
The aim of this Project is to investigate the evolution of the violin concerto, using the example of the Mozart violin concerto nº 5 and Tchaikovsky violin concerto op 35. After the comparison of these two important concertos, the aim is to know more about each of them and to observe the evolution experimented. The methods that I used are the scores of the concertos which make possible to do a mus
In today’s society fast fashion has taken over the consumers and prices on clothes are so low that the clothes have lost their value due to their disposability. People are consuming more than they need and also throwing away clothes that they no longer need but are still fully functional. In short, we need to change our consumer habits. This paper will be exploring the sharing economy focusing on
Although there is a well-researched theoretical tradition to explain institutional trust, very little research has been done in authoritarian countries in general, and MENA countries more specifically. This study aims to fill this gap in the literature by identifying the factors that explain institutional trust in Algeria, focused more specifically on Algeria’s armed forces as one of the powerbrok
There are many unknowns regarding the interaction between fungi and their surroundings. In this project, we took a closer look at hyperspectral images of several fungal strains on two different substrates. The project mainly consisted of developing a code for the classification of fungal strains and the extraction of information from it. The classifier used hyperspectral images in infrared of four
Road safety analyses are required for the prevention of road accident fatalities. In Europe, the ambition is "Vision Zero". Data that was used is collected by the research group Transport and Roads which is part of Department of Technology and Society at LTH, Lund University. The dataset of video-recorded traffic situations used in the study was limited to encounters in which one motor v
This paper examines constructions of nature as communicated in three films by outdoor company Patagonia. By employing discourse analysis and the theory of spectacle, the films are seen to construct nature as wilderness and thus apart from humans. Speaking as an authority on the matter, Patagonia suggests wilderness ideals as a method of conservation. Together with representations of nature as spec
Den mänskliga rättigheten till en ren, hälsosam och hållbar miljö erkändes av Förenta Nationernas generalförsamling den 28 april 2022. Det hade föregåtts av rapporter av Special Rapporteur på området för skyldigheter till mänskliga rättigheter relaterat till en säker, ren, hälsosam och hållbar miljö, som fick mandatet under 2012. Från rättsvetenskapen gällande rättigheten kan det utfås att den bäs
This thesis aims to construct an Equity Market Neutral (EMN) strategy framework to predict intraday excess returns of stocks within the S&P 500 index by utilizing machine learning techniques proposed by (López de Prado, 2018). The constructed EMN strategies within the framework utilizes techniques such as Stacked Single Feature Importance (SSFI), sample weighting, Probabilistic Sharpe Ratio (P
Corruption is widely recognised for distorting incentives and impeding economic growth. Less acknowledged are the effects of corruption on environmental issues such as the implementation of environmental regulation. Building on previous findings that have identified a negative relationship between corruption and environmental quality, this study sets out to investigate the impact of corruption lev
In this master thesis nanowires have been simulated to study the effect of spatial imperfections in the nanowires. This spatial imper- fection took the form of potential fluctuations in the conduction band across the wire. To achieve this, scripts were written in MATLAB to simulate the nanodevices by applying the non-equilibrium Green’s function (NEGF) method. To verify the simulations, multiple q
In recent times there have been a growing public discussion in Sweden regarding targeted contributions from the state to the schools. The principals from municipalities all over the country have been letting their voices be heard that they are not pleased with how the current system is set up. An overwhelming administrative work and endless terms attributed to these contributions are just some of
This thesis explores Artificial Neural Networks (ANNs) for predictive time series classification for Predictive Maintenance (PdM). Time slicing and time shifting are methods used, to enable the models to find features over time, and to predict into the future, respectively. Architectures of increasing complexity are explored for Feed Forward Neural Networks (FFNNs), Convolutional Neural Networks (
Purpose: Anti-consumerism and sustainable fashion are two vital concepts that are prominent in society today, but have not been analyzed in terms of if they are a part of creating this brand resonance. A new framework, the Sustainable Brand Stewardship Model, is introduced to determine if a sustainable brand is able to sustain long-term competitive advantages through enhancing brand resonance. Met
This paper intends to present a picture of how the employees at three factories in Sri Lanka percieve themselves in terms of influence and power in their workplace. The three factories are all under swedish ownership; Dem Collective, Tailor Store and Trelleborg. The three companies have been chosen because of their ambition to be good employers, but they have all chosen different paths to achieve
Today’s dementia care has demonstrated a widespread use of locking devices in the escape routes of the care units. Most commonly code locks. The locking devices are used to prevent wanderers from wandering away from de dementia unit and risk hurting themselves, disappear or even die. On the contrary, the locks themselves may endanger a safe escape in the case of fire as well as it is may violate t
