Masteruppsatser: Recent submissions
Now showing items 61-80 of 208
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Designing Mobile Augmented Reality Board Games - Exploring the Design Space With Regard to Player Engagement
(2020-11-10)Augmented reality board games is a relatively new concept. Designing these types of games can be challenging for designers as there are no well established guidelines to consider. The combination of board games and ... -
Game Design and Implementation of Physics-Based Interactions between Player and Environment Elements
(2020-11-06)This master thesis presents the PEP framework, a formal method that guides the design and analysis of physics-based games, and Under Surveillance, a 2.5D physicsbased puzzle adventure video game for PC. The PEP framework ... -
Region-based Memory Management and Actor Model Concurrency An initial study of how the combination performs
(2020-11-06)Modern computer systems and the requirements we place upon them are vastly different from those of early systems. With the emergence of Internet of Things (IoT) devices, the number of devices with hard, real-time deadlines ... -
Data-driven configuration recommendation for microwave networks A comparison of machine learning approaches for the recommendation of configurations and the detection of configuration anomalies
(2020-11-06)As mobile networks grow and the demand for faster connections and a better reachability increases, telecommunication providers are looking ahead to an increasing effort to maintain and plan their networks. It is therefore ... -
Interactionwise Semantic Awareness in Visual Relationship Detection
(2020-11-06)Visual Relationship Detection (VRD) is a relatively young research area, where the goal is to develop prediction models for detecting the relationships between objects depicted in an image. A relationship is modeled as ... -
Emulating the Internet of Things with QEMU
(2020-11-05)This thesis project implements and evaluates the virtual nRF51 platform in QEMU. The purpose of the project is to be able to run nRF51 binaries in QEMU and find out whether it is feasible to perform a full system emulation ... -
Deep Learning for Deep Water: Robust classification of ship wakes with expert in the loop
(2020-10-06)This work examines the applicability of the deep learning models to pattern recognition in acoustic ocean data. The features of the dataset include noise, data scarcity and the lack of labeled samples. A deep learning ... -
Resource Optimal Neural Networks for Safety-critical Real-time Systems
(2020-07-10)Deep neural networks consume an excessive amount of hardware resources, making them difficult to deploy to real-time systems. Previous work in the field of network compression lack the explicit hardware feedback necessary ... -
Compressed Machine Learning on Time Series Data
(2020-07-08)The extent of time related data across many fields has led to substantial interest in the analysis of time series. This interest meets growing challenges to store and process data. While the data is collected at an ... -
Machine Learning for Detecting Hate Speech in Low Resource Languages
(2020-07-08)This work examines the role of both cross-lingual zero-shot learning and data augmentation in detecting hate speech online for low resource set-ups. The proposed solutions for situations where the amount of labeled data ... -
Predicting Pedestrian Counts per Street Segment in Urban Environments
(2020-07-08)Cities are continuously growing all over the world and the complexity of designing urban environments increases. Therefore, there is a need to build a better understanding in how our cities work today. One of the essential ... -
Text analysis for email multi label classification
(2020-07-08)This master’s thesis studies a multi label text classification task on a small data set of bilingual, English and Swedish, short texts (emails). Specifically, the size of the data set is 5800 emails and those emails are ... -
Investigating and Evaluating Software Ecosystem Modelling in Practice in a Tier-2 Vehicle Telematics Company
(2020-07-06)Although different ecosystem modelling techniques exist, it is difficult to assess how used these are in practice among software companies. In this design science study, software ecosystem practices of a software company ... -
Benchmarking Deep Learning Testing Techniques A Methodology and Its Application
(2020-07-06)With the adoption of Deep Learning (DL) systems within the security and safetycritical domains, a variety of traditional testing techniques, novel techniques, and new ideas are increasingly being adopted and implemented ... -
Leveraging a Traceability Information Model in order to enhance the maintenance of automotive Safety Assurance Cases
(2020-07-06)In safety critical systems, Safety Assurance Cases are created in order to provide argumentation as to why a system is reasonably safe. In the automotive industry, the ISO 26262 standard is complied with in order to ... -
Flexible Integration of Voice Recognition Components for an Automotive Android Platform: A Design Science Research
(2020-07-06)There are several voice recognition interfaces available on the market capable of being integrated into a variety of platforms. Mobile phones, speakers, and even refrigerators can be equipped with a voice assistant. ... -
Good News AI Investigating feasibility of categorizing positive sentiment in general news
(2020-07-06)In today’s society we are constantly fed information about catastrophic or sad events through media. While it is important to know about these events, it should be equally important to also see all the good things that ... -
An experimental study on combining automated and stochastic test data generation
(2020-07-06)Test data plays an important role in improving the quality and e ectiveness of test cases and automatic generation of meaningful test data saves a lot of human e ort. There are several automatic test data generation ... -
Erlang as an alternative to a non-functional language for communication in a faulttolerant IoT sensor network
(2020-02-17)This thesis compares a C++ prototype and an Erlang prototype for an Internet of Things application. Internet of Things applications are difficult to program because they consist of a distributed environment of heterogeneous ... -
Investigating Content-based Fake News Detection using Knowledge Graphs
(2019-11-21)In recent years, fake news has become a pervasive reality of global news consumption. While research on fake news detection is ongoing, smaller languages such as Swedish are often left exposed by an under-representation ...