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As more modern technical devices with cameras are accessible to people, more photos are taken and the amount of data that is available has vastly increased. Researchers have learnt to utilise this and use images for various purposes with Deep Learning based Computer Vision. For instance, one can teach a computer to perform an automated inventory, which could be a very time consuming task. Libraria
Purpose of the study: To further generate an understanding of previous research on NSD challenges in small firms and NSD methods used by firms when developing new experiential services. Theory: Research on challenges faced by small firms with performing NSD and methods experiential service firms use to perform NSD. Methodology: Qualitative multiple case study, the study is deductive in nature. Dat
Purpose and research question: The purpose of the study is to examine the effect ESG disclosure exerts on a firm’s propensity towards public or private debt. Methodology: For the panel data, pooled OLS and fixed effects models are applied. A quadratic term is introduced to test for non-linearity between bond debt ratios and ESG disclosure scores. An instrumental variable approach and a sharp regre
Tröger’s Base (TB) is a bicyclic compound containing a methanodiazocine group between two aromatic rings. The methylene bridge forces the molecule to have a bent formation; thus, the aromatic rings are close to 90 degrees relative to each other, resulting in a rigid concave aromatic cavity. These unique properties make TB a great candidate as a molecular cleft compound and a good structure as a mo
Threat and Error Management (TEM) har framförts som en modell för att förstå, förklara och utbilda i hur olika flygsäkerhetsrisker uppkommer och kan hanteras för att uppnå en ökad flygsäkerhet. Den bygger till stor del på den tidigare utvecklade modellen för övervakning av operationell flygverksamhet, Line Operations Safety Audit (LOSA). Information har insamlats med hjälp av litteraturstudier, in
Modern embedded development flows often depend on FPGA board usage for pre-ASIC system verification. The purpose of this project is to instead explore the usage of Electronic System Level (ESL) hardware-software co-simulation through the usage of ARM SoC Designer tool to create a virtual prototype of a cellular IoT modem and thereafter compare the benefits of including such a methodology into the
In this thesis methods for finding state space representation parameters for low inductance DC-motors are found and evaluated. Theory previously tested in simulations is verified experimentally and improved upon for both linear behaviour when the motor is controlled with a DC-source as well as nonlinear behaviour when controlled with pulse width modulation (PWM). For the linear behaviour a linear
This thesis concerns the evaluation of cost functionals on H2 when designing optimal controllers using finite Youla parameterizations and convex optimization. We propose to compute inner products of stable, strictly proper systems via solving Sylvester equations. The properties of different state space realizations of Laguerre filters, when performing Ritz expansions of the optimal controller are
Multiple modern methods of statistical feature extraction and machine learning are applied to classification of encoding and retrieval of episodic memories using electroencephalogram (EEG) recordings. Raw data, different time-frequency methods, and multiclass common spatial patterns are used for statistical feature extraction. For each type of feature extraction multiple machine learning algorithm
Sedan 1970-talet har antalet rapporterade cancerfall dubblerats, dels på grund av förändrade levnadsvanor och dels på grund av bättre screeningmetoder som upptäcker cancern i tidigt skede. Tidig upptäckt av cancern i kombination med utvecklad cancerbehandling har bidragit till att risken för att avlida av cancer har minskat. Cancerbehandling sker huvudsakligen genom operation, strålbehandling elle
Wireless Power Transfer (WPT) technology has experienced phenomenal success in the application of wireless charging of smartphones. With the Qi Specification becoming the dominant standard, wireless charging's convenience goes beyond cable-free charging to facilitate interoperability between chargers and devices from different vendors. For wireless charging to operate correctly, the power tr
Failure often captures public attention, especially in an intelligence context were the consequences can be devastating and the successes are rarely visible. Understanding failure is important if we are to prevent it and both the field of organizational theory and the field of intelligence have been interested in the nature of failure. This study aimed to further the understanding of intelligence
Polymers of N-substituted glycine (NSG) or as they are also called, peptoids, have shown potential in biomedical applications due to proteolytic resistance, among other interesting properties. In this thesis project, two synthetic routes have been performed and evaluated to achieve a better understanding of large-scale syntheses of peptoids as a bioinert coating for nanoparticles. The primary fo
Multiple modern methods of statistical feature extraction and machine learning are applied to classification of encoding and retrieval of episodic memories us- ing electroencephalogram (EEG) recordings. Raw data, different time-frequency methods, and multiclass common spatial patterns are used for statistical feature ex- traction. For each type of feature extraction multiple machine learning algor
Since the purchasing expenditure of many companies is such a large part of the total cost and 99,8 % of companies are classified as Small and Medium Sized Enterprises (SME), one might expect that theories on purchasing strategy would not only be conducted for large companies but also SMEs. In order to fill this gap in theory, this thesis aims to create a purchasing strategy framework for SMEs in t
Many people today possess a private digital photo collection. Such collections are often just chronologically sorted. One way to make photo browsing more interesting would be to suggest semantically related photos to a currently viewed photo, and if, in addition, such a relationship could be justified in words, that would create extra value for the user. To find a solution to this problem, the ap
There is a lot of discussion going on how to adapt to the changing climatic conditions, especially in countries where financial resources are limited. The built environment has been identified as a key area of intervention. As disasters, such as typhoons, can devastate entire cities, it is essential that the most important buildings in these cities, the lifelines so to speak, are resilient and can
A fleet of autonomous sailboat could change our perception of the planet. An autonomous sailboat could not only conduct environmental research but also perform month long operations through the energy efficient wind propulsion. This thesis is the work behind the development of an autonomous catamaran model sailboat. A new mathematical model is brought forward and implemented for simulations perfo
