Tron på egen datoranvändningsförmåga (CSE) hos studenter vid högskolan Dalarna undersöktes. Resultaten av denna undersökning jämförs med tidigare forskningsresultat där forskare använt samma CSE skala (Cassidy and Eachus, 2002). Studenterna är antagna till olika program vid Högskolan Dalarna (ekonomi, lärare och mediekommunikation) och jämförs med varandra och med en kontrollgrupp. Effekterna m.a.p. dataerfarenhet och kön på CSE undersöktes också. Studenterna antagna på mediekommunikationsprogrammet erhöll den högsta CSE och kontrollgruppen den lägsta CSE. Inga könsskillnader erhölls. Ett starkt samband mellan CSE och dataerfarenhet erhölls. CSE var något högre i denna undersökning än den som Cassidy och Eachus erhöll.

Purpose: The purpose of this thesis is to investigate what Swedishness is according to Swedish customers and how a company could communicate and benefit from the country-of-origin cue in its marketing strategy to attract customers.  Background: Marketing must be understood in the new sense of satisfying the customer needs. Hence, Swedish organisations, when emphasising the country-of-origin attribute in their branding approach, need to recognise what aspects are associated with Swedishness from the customer perspective. Several features could be associated with Swedishness and communicated through the usage of a brand. It could be where the item has been produced, how the product is presented or where it has been designed. Other characteristics might be that consumers want the owner of the company to be Swedish, that the organisation should have Swedish values or that the product must have a Swedish name. Method: To fulfil the purpose, a qualitative data collection was chosen. Semi-structured interviews based on a pilot test were conducted with Swedish customers in Jönköping and asynchronous e-mail interviews were conducted with two Swedish companies. Conclusion: The findings indicate that there are several features customers associate with Swedishness. The origin and history of a company, the quality and design of a product and Swedishness as a personal trait or behaviour. This research found that companies, depending on industry, can take advantage of the features associated with the country-of-origin cue.

The arithmetic operations in most digital system are in the conventional binary number systems. However, the finite field arithmetic has also been widely used in applications of cryptography and communication channel coding. For example, finite field constant multiplication is applied to the advanced encryption standard (AES) and in the Reel-Solomon code. In this thesis, we develop a synthesizer that can automatically generate optimized gate-level netlists for constant matrix multiplication in Galois Field GF(2^n). The logic minimization is based on the a new common-factor elimination (CSE) algorithm that can efficiently finds the shared common factors among all the bit-level Boolean equations. Both the area and speed performance are considered during the logic optimization process. Experimental results show that the synthesized circuits have better area and/or speed performance compared with those obtained using Synopsys logic synthesis tools.

Zugl.: St. Gallen, Hochschule, Diss.

This master thesis named “Measuring of ECG signals” is focused on detailed description of resting signals of ECG, which are derived from known positions of the start and the end of the wave P, complex QRS, and wave T. For this purpose we used classic twelve lead in ECG signals from CSE database, which consisted of 250 measurement records. Outcome of this work will be an algorithm capable of classifying chosen heat anomalies, as well as study which will evaluate quality of this algorithm from statistical standpoint. This study will also carry out statistical calculations concerning most common heart anomalies. These materials could be used as a software support for cardiologists.

The goal of this work is to study the principles of delineation of ECG signals, wavelet transformation and transformation approaches to increase the number of available leads. Consequently, the knowledge was used to create delineation algorithm in Matlab. The algorithm was tested on complete CSE database. The obtained results were compared with the criteria which are set for the CSE database. In this work were realized six transformation approaches to increase the number of available leads. All of them were analyzed by delineation algorithm. In the work was examined, whether the transformation increase the efficiency of detection.

This master's thesis deals with electrocardiogram and its distortion, which causes errors, due to which a doctor can make a wrong diagnosis. In the theoretical part electrocardiogram is briefly described, further theory of wavelet transform, introduction to the signal compression and some information about ECG delineation. Methods used for the signal evaluation and therefore determination of the distortion size are described in the main theoretical part. This thesis contains known methods and also a method of own design based on the ECG delineation. Some of the described methods are checked in the practical part. These methods are tested for two different compression algorithms, which cause various distortion. In the final part distortion was tested on the influence on setting the wrong diagnosis.

This master's thesis deals with an analysis of principles of ECG signals detection and delineation. The theoretical part describes heart electrophysiology and electrocardiography basics. Next, the most important QRS detection and ECG delineation algorithms are introduced. Especially the wavelet transform methods are described. In the practical part proper delineation algoriythm was realized. It was tested on the standard CSE database, then it was modified on data of isolated rabbit heartsand the results are published in the conclusion.

The aim of this work is to study and describe the principles and method of delineation of ECG signals. Learn and describe about method of cluster analysis. In this work was created and described three different methods of delineations of ECG signals. Created algorithms were tested on complete CSE database. With cluster analysis were combine created methods. The obtained results from realized methods and combined method were compared with others known methods. At the end of this work is evaluate efficiency of detection of combined method.

The thesis focuses on the use of wavelet wiener filtration to remove muscular interference from ECG signals. As part of it, a filter has been implemented in the MATLAB programming environment. The main part of the thesis deals with the optimization of numerical parameters of the proposed filter. The results of the filtration are compared with the results reported by other authors.