The purpose of the thesis is i) to discover the latent topics of SDG13 and their coverage in news media ii) to investigate the share of OA and Non-OA articles and reviews in each topic iii) to compare the share of different OA types (Green, Gold, Hybrid and Bronze) in each topic. It imposes a heuristic perspective and explorative approach in reviewing the three concepts open access, altmetrics and climate action (SDG13). Data is collected from SciVal, Unpaywall, Altmetric.com and Scopus rendering a dataset of 70,206 articles and reviews published between 2014-2018. The documents retrieved are analyzed with descriptive statistics and topic modeling using Sklearn’s package for LDA(Latent Dirichlet Allocation) in Python. The findings show an altmetric advantage for OA in the case of news media and SDG13 which fluctuates over topics. News media is shown to focus on subjects with “visible” effects in concordance with previous research on media coverage. Examples of this were topics concerning emissions of greenhouse gases and melting glaciers. Gold OA is the most common type being mentioned in news outlets. It also generates the highest number of news mentions while the average sum of news mentions was highest for documents published as Bronze. Moreover, the thesis is largely driven by methods used and most notably the programming language Python. As such it outlines future paths for research into the three concepts reviewed as well as methods used for topic modeling and programming.

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This work deals with the design and implementation of a web application for playback and annotation of multimedia data from files in BAG format. The created annotations are intended for training artificial intelligence in robotic systems. The resulting application is implemented with the help of React library for creating the user interface and framework Django for the server-side REST API. The entire application is containerized using Docker. This work describes the BAG format, analyzes modern libraries for creating web applications and introduces existing solutions for data annotation or playback of BAG files. Furthermore, the design of the application is presented and its implementation is described. A separate library rosbag_pyreader, which is used to read BAG files with random access, was created as part of this work. The resulting application allows user to display and annotate 2D and 3D data from multiple robotic sensors at the same time and then export the annotations in JSON format.

In recent years, many sectors such as insurance, banking, retail, etc. have adopted Big Data architectures to boost their business activities. Such tools not only suppose a greater profit for thesecompanies but also allow them to gain a better understanding of their customers and their needs.These techniques are rapidly being adopted, this also being the case of sports and team sportsfor tasks such as injury prediction and prevention, performance improvement, or fan engagement.The aim of this project is to analyze the implications of data-driven decisions focusing on theiractual and future use in sports. Finally, a player scouting and team tailoring application would bedesigned and deployed to help the technical staff decision-making process which will also supposea budget optimization. For doing so, “Python” programming language and “Rapidminer” will beused, implementing “fuzzy logic” techniques for player scouting and “knapsack problem” algorithms for budget optimization plus an additional price prediction algorithm. The outcome wouldbe the application which given certain player needs (e.g., a midfielder with a high pass accuracyand a high ball recovery and a goalkeeper with a big number of saves and many minutes played)and the available budget will suggest the best possible combination of players given the availablebudget and the algorithm capable of predicting prices. This project also intends to study how thisapplication could be deployed in a real case situation by estimating the work team and budget todo so.

Nowadays Ground Source Heat Pumps (GSHP) are widely used to provide heating and/or cooling as well as domestic hot water in commercial and residential buildings. The Swedish GSHPs market is the first one in the European Union with more than 378,000 units installed until 2010 according to the Swedish Heat Pump Association (SVEP). This thesis focuses on the improvement of a Thermal Response Test (TRT) apparatus available at KTH Royal Institute of Technology – Energy Technology Department. This equipment aims at improving Borehole Heat Exchanger (BHE) design in terms of size. Its key purpose is to evaluate two main BHE properties: the ground thermal conductivity and the borehole thermal resistance. A new command software is developed in order to control the TRT equipment and run TRT measurements. This new software is developed using Python as programming language and replaces an older program which needed LabVIEW to run. The TRT command software designed in this thesis provides the user with a simple and user-friendly interface to control each device of the equipment. Measurements are exported and saved to files which can be open with both Microsoft Excel and the analysis tool also developed in this thesis. The stand-alone evaluation tool can be used to analyse TRT and/or DTRT measurements. This analysis tool helps the user to compute large amount of data with few data manipulation and low computation time. Model parameters and TRT/DTRT measurement can be imported from files into it and different fitting settings are available to run the optimization, i.e. account for baseline variations (early activities in the borehole, different optimization periods, analysis during thermal recovery of the ground, single/multi-sectional analysis along the depth, among others). This report covers a theoretical description of TRT experiments and its models, the objectives of such a project and the development of the control and evaluation tools.

Allt fler företag letar efter effektiva sätt att utföra repetitiva uppgifter. Författaren kom i kontakt med företaget Etteplan, som manuellt granskar olika handlingar (dokument) för att hitta och notera eventuella felaktigheter. Uppdraget författaren fick av Etteplan bestod av att implementera en automatiseringslösning som automatiskt granskar dessa handlingar och identifierar eventuella felaktigheter i handlingens tabellhuvud, som sedan presenteras i en Excel-fil. Dessa felaktigheter kan vara att de olika fälten har fel format eller att fälten är tomma.Författarens syfte var att utveckla och utvärdera denna automatiseringslösning och ta reda på hur automatiseringslösningen mottogs av Etteplan, samt vilka förbättringsförslag som framkom. För att utveckla automatiseringslösningen har flera tekniker använts, som till exempel programmeringsspråket Python, OCR-verktyget PyTesseract och datorseende-biblioteket OpenCV. Automatiseringslösningen utvecklades och utvärderades iterativt med stöd av Design Science Research tillsammans med enhetstester, acceptanstester, ”tänka högt”-sessioner och semi-strukturerade intervjuer, där automatiseringslösningen testades av slutanvändaren på Etteplan. Under utvärderingssessionerna framkom bland annat uppfattningar om lösningens funktionalitet, utseende och layout samt förbättringsförslag. Studiens resultat indikerar att automatiseringslösningen uppfattades som positiv av slutanvändarna samt att den kan skapa mervärde på Etteplan. Ett flertal förbättringsförslag framkom, exempelvis att Excel-rapportens utformning kan förbättras. Det framkom även önskemål om ny funktionalitet, exempelvis att fler filformat skulle gå att granska, så som TIFF- och DWG-filer.

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Dark matter, the unknown matter that constitutes 85% of all matter in the universe, is one of the greatest mysteries in fundamental physics. One theory that might explain dark matter predicts that there are long-lived particles known as dark pions. If these were created in a particle accelerator, they could decay inside the detector, resulting in particles that seemingly "emerge" from nothing. This phenomenon is known as emerging jets. In this study, emerging jets are simulated with various values of the dark pion average lifetime, dark pion mass, and mediator particle mass. These simulations are compared with a search for displaced vertices conducted by the ATLAS collaboration, allowing one to reinterpret the ATLAS results to constrain the parameter values that the emerging-jets model can have. This study simulates and constrains the allowed values for the dark pion mass, dark pion average life time and mediator mass with 95% confidence level. This is the first study to use results from the ATLAS experiment to constrain the emerging-jets model, as well as the first study to exclude this region of the parameter space.

Rapporten tar upp hur dagens true wireless-teknik fungerar och hur den kan implementeras i separata högtalare. Den förklarar de fundamentala komponenterna som behövs för att konstruera en fungerande trådlös högtalare, sammanfattar överföringstekniken Bluetooth och går in på radarsystem samt tekniken som används i Acconeers radarkomponenter XC112/XR112. Rapporten förklarar specifika komponenter som hörlurarna Urbanista Stockholm och hur dess funktioner kan påverkas från externa källor. Dokumentering i hur installationen samt implementeringen av Raspberry Pi och radarsensorerna går till tas även upp i rapporten. I arbetet har geststyrning implementerats i ena högtalaren med hjälp av radarsensorer för att kontrollera funktionerna som hörlurarna har inbyggt. Hörlurarna kommunicerar med en uppspelningsenhet via Bluetooth, vanligtvis en mobiltelefon. De funktioner som används är att byta låt, ändra volym och pausa/spela musiken. Eftersom de olika hörlurarna kontrollerar olika funktioner har en 433Hz radiosändare används för att kunna skicka över specifika kommandon till andra högtalaren. Resultatet av arbetet visar att true wireless-tekniken kan implementeras väl i separata högtalare, med hjälp av Acconeers radarsensorer kunde olika gester registreras och kommandon skickas till hörlurarna. För att gester ska registreras krävs specifika avstånd och rätt hastighet på svepet med handen. Kommunikationen med radiosändaren blev instabil och behövdes både placeras rätt och justeras för att fungera. När väl kommunikationen med radiomodulerna fungerade så utfördes kommandona på den andra hörluren korrekt. / This report explains how today's true wireless technology works and how it could be implemented in separate speakers. It explains the fundamental components needed to design a working wireless speaker, summarizes the Bluetooth transmission technology and goes into radar systems as well as the technology used in Acconer's radar components XC112/XR112. Furthermore, the report goes into specific components such as the Urbanista Stockholm headphones and how its functions can be controlled from external sources. Documentation on how the installation as well as implementation of the Raspberry Pi and the radar sensors works is also included in the report. With the work, gesture control has been implemented in one of the speakers with the help of radar sensors to control the functions that the headphones have built-in. The headphones communicate with a playback device via Bluetooth, usually a mobile phone. The functions are changing songs, adjusting volume and pausing/playing the music. Because the different headphones control different functions, a 433Hz radio transmitter has been used to be able to transmit specific commands to the other speaker. The results of the work show that true wireless technology can be well implemented in separate speakers, with help of Acconeer’s radar sensors, different gestures could be registered and commands sent to the headphones. In order for the gestures to be registered, specific distances and the correct speed of the sweep are required. The communication between the radio transmitter and receiver became unstable and needed to be placed correctly and adjusted to work. Once the communication worked the commands were executed correctly by the other headphone.

No description available.