Filetype
University teachers funded to engage in educational development projects have been found to become increasingly engaged in the scholarship of teaching and learning. However, research also points to obstacles such as departmental culture, lack of support from management, and unhelpful administrative processes. In this study, I interview university teachers and their heads of departments in an educa
We propose an observer for rotational dynamics subject to directional and gyroscopic measurements, which simultaneously estimates the gyroscopic biases and attitude rates. We show uniform almost global asymptotic and local exponential stability of the resulting error dynamics, implying robustness against bounded disturbances. This robustness is quantified with respect to a popular nonlinear comple
We regard the classic Thue–Morse diffraction measure as an equilibrium measure for a potential function with a logarithmic singularity over the doubling map. Our focus is on unusually fast scaling of the Birkhoff sums (superlinear) and of the local measure decay (superpolynomial). For several scaling functions, we show that points with this behavior are abundant in the sense of full Hausdorff dime
Brain injury rehabilitation is a long and difficult process that includes training of so-called instrumental activities of daily living (IADL). This type of training involves activities like preparing meals, doing housework, grocery shopping etc. and it is often used by occupational therapists when they teach brain injury patients how to manage their daily life. A computer-generated Virtual Envir
In this paper we have proposed a test cost model for core-based 3D Stacked ICs (SICs) connected by Through Silicon Vias (TSVs). Unlike in the case of non-stacked chips, where the test flow is well defined by applying the same test schedule both at wafer sort and at package test, the most cost-efficient test flow for 3D TSV-SICs is yet undefined. Therefore, analysing the various alternatives of tes
The topic of the thesis is re-initialization of multistep methods for the solution of ordinary differential equations, in which there are frequent discontinuities in first or higher derivatives. There are self-starting algorithms to start or restart a multistep method. It is normally started by first using a one-step method and then increasing the order successively until the working order is reac
Very high accuracy and a very high repeatability, both in the range of a few microns, is very hard to achieve with today's common serial robots. An approach utilizing the Gantry-Tau principle is used in my theses together with a dual motor control to eliminate the troublesome backlash rising from the mechanical limitations. Both hardware and software will be regarded and with an antagonistic c
The purpose of this study is to examine whether there are any key factors for success to look for in launching a new business that affects the subsequent performance of the venture. Further on, the study will examine if there are any differences between believed and actual factors for success for an entrepreneur and the key factors for success given by existing theory. The purpose of looking in to
This project is about focusing a Gaussian laser beam that has a spatial phase profile applied by a spatial light modulator. The goal is to be able to control the shape, position and phase of the peak at the focus and to split up the peak at the focus into several peaks. Controlling the profile of the beam at the focus has interesting applications for opto-optical modulation. A code was written in
Education is by the UN stated to be the foundation to creating sustainable development. Lately, there has been a tremendous increase in the use of information and communications technology (ICT) for educational purposes worldwide, but as many countries lag behind both in terms of uptake and usage of ICT, this limits their populations’ chances to participate. Given this, the aim of this thesis was
Ultrasound Optical Tomography (UOT) is a proposed technique, which combines ultrasound imaging and optical imaging in a new way to detect, e.g., blood oxygenation and tumors deep inside biological tissue, where the ultrasound provides an excellent spatial resolution, and the optical imaging gives a high contrast of different tissues according to optical properties. However, the challenges of this
Chirality of organic molecules plays a big role in areas ranging from medicine to material science, yet the synthesis of such entities in one enantiomeric form remains a challenge. Asymmetric synthesis is a key process in modern chemistry and allows us to achieve the selective synthesis of one enantiomer over the other. The design and development of new chiral ligands for metals is an exciting are
Two deep learning techniques for classification on corrupt data are investigated and compared by performance. A simple imputation before classification is compared to imputation using a Variational Autoencoder (VAE). Both single and multiple imputation using the VAE are considered and compared in classification performance for different types and levels of corruption, and for different sample size
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
