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We consider a technique involving Neural Networks in order to try to predict trends for cryptocurrencies such as Bitcoin, Ethereum etc. In that respect the project involves construction, design and training of a deep learning Neural Network based on historical trading data for these cryptocurrencies. Subsequently we apply this trained network in order to better understand its ability to possibly f
To optimize precision and accuracy of small dispensed volumes, a dispenser was built. A 96-well plate was loaded with four replicates of a linear pyranine dilution series to test the accuracy and precision of the dispenser machine. Three dilution series of pyranine (100-0 percent, 10-0 percent and 1-0 percent) were made. The results showed that the dispenser has very good accuracy and precision. T
Fog and clouds are difficult to predict for meteorologist today. Models have a tendency to show either too much or too little clouds or fog, which can be a problem for people and industries that depend on the weather conditions. Improvements are being done, but errors still occur. One of the problems is that when an improvement is attained, it might only work for one specific season. This happens,
There have been several studies which indicate a preferential invasion towards younger red blood cells (RBCs) for the malarial parasite, P. Falciparum. Knowledge about a preferential mechanism could aid in the development of novel anti-malarial drugs. While the preference in these reports has been studied with density-separation of red blood cells, separating the cells by deformability may be a mo
It is said that coreference is difficult to explain, but easy to comprehend; everyoneknows coreference, they just don’t know that they do. We trained a computer toknow it too! Coreference resolution is the identification of phrases that refer to the same entity in a text. Current techniques to solve coreferences use machine-learning algorithms, which require large annotated data sets. Such annota
The constantly increasing awareness of protecting the environment has put electrical roads in the spotlight as an alternative solution to fossil driven means of transport. Dan Zethraeus has developed an innovative idea for a prototype electrical road which conductively supplies power to the cars whilst driving. The concept is to place a line of short rail segments in the middle of the drive lanes
The constantly increasing awareness of protecting the environment has put electri- cal roads in the spotlight as an alternative solution to fossil driven means of trans- port. Dan Zethraeus has developed an innovative idea for a prototype electrical road which conductively supplies power to the cars whilst driving. The concept is to place a line of short rail segments in the middle of the drive la
The purpose of the study is to examine how the European Green Deal shapes and constrains what is considered possible and desirable in order to tackle the climate crisis. More specifically, the objective is to expose its underlying assumptions, interrogate what is taken for granted and left unproblematic. In order to examine how established knowledge shapes and constrains political action the study
This master thesis investigates how to perform irrational decimation, the process of reducing the sample rate of a signal, for high throughput systems. The thesis work consists both an algorithmic part and an implementation part. In the algorithmic part, an algorithm that could cope with the requirements is found, and investigated due to different aspects. A group of filters that are investigate
Conflicts are destructive for humans and societies, but are openings for rebuilding a more inclusive and sustainable society presented in the aftermath of conflict? This paper contributes to the growing research field and examines the link between conflict and window of opportunity for development, through a gender lens. Further, this study seeks to understand how conflict affected women’s socio
Drawing together the right to health in prison, and the understanding that yoga has numerous positive impacts on health, this paper explores the potential for using yoga as a way to improve prison conditions and experience from a human rights perspective. Secondary literature is used to answer two research questions: whether yoga is an appropriate and effective tool for realising international hea
Infrared absorption microscopy is a powerful chemometric tool with a wide variety of applications. It is, however, subject to considerable disturbances from atmospheric gases and scattering effects. As experimental fixes are not always applicable or advisable, data therefore needs to be computationally corrected before any attempt at an interpretation. This work designed, improved and validated se
In this master’s thesis we propose a DensePose-based person re-identification (re-ID) machine learning algorithm building upon previous research on this topic. DensePose, a deep neural network that performs human body part segmentation on images, forms the foundation of our approach. We investigate whether utilization of DensePose can enhance performance on re-ID algorithms with the utilization of
Aseptic packaging solutions enable long time storage without refrigeration and are an important part of securing food supply globally. The package material consists of multiple layers: A paperboard for robustness, polymers for adhesion as well as shielding the board from liquid, and a barrier protecting the product. This thesis consists of two parts regarding in-plane wetting into the paperboard.
Wide-angle distance measurements are needed for positioning with multilateration when there is no information about in which direction objects of interest are located. Several transmitters of varying kinds were evaluated in a data-driven way using a 6 DOF robot actuator. A wide-angle (±98 degrees) distance measurement system us- ing ultrasound was developed. The resulting solution was integrated i
In this study a method for small scale purification of the protein RAGE (receptor for advanced glycation endproducts) was developed and soluble RAGE was purified from bovine and mice tissue. In healthy animals RAGE is expressed in measurable levels only in lungs and therefore lungs have been used. The tissue was homogenized and thereafter RAGE was purified using Concanavaline A (Con A)-Sepharose,
Rehabilitering efter en stroke är viktig för att den drabbade individen ska återfå så stor del av de påverkade kroppsfunktionerna som möjligt. Balansen blir ofta försämrad hos individer som överlevt stroke och behöver stärkas för att inte hindra individen i dennes vardagliga liv. Rehabiliteringsträningen av balansen bör innehålla motivationsfaktorer för att träningen ska ske i tillräckligt stor omThe rehabilitation after a stroke is important for the individual so that the affected body functions recover as much as possible. The balance is often impaired after a stroke and need to be strengthend to not impede the stroke-survivor in the daily life. The rehabilitation training of the balance should include motivation factors for the training to take place in sufficiently large scale. The aim
Virtual reality (VR) is a technology that offers near real-world experiences in various fields. With the widespread use of virtual environments designed to provide VR experiences, the amount of data collected from these environments has increased rapidly. However, as the volume of data grows, there is a need to develop analysis processes and advance the data-driven development model. In this study
