Förstudie kring ledningssystem vid reklambyrån Confetti

The aim of the project is to develop a tool for a management system at the advertising agency ofConfetti. The company has during a longer period of time felt a need of introducing a quality and environmentalsystem but have a lack in resources of knowledge, time and money. Their goal is to have aconcrete documentation which describes their quality policy and the function of the activity.The work has been performed by mapping and analyzing the processes of the company according tothe process model with focus on one pilot process. New routines have been developed and documentedin a management system.Confetti would like their management system to fulfil the ISO-standard so that they eventually inthe future can be certified. Therefore a literature study has been done according to management systemsand standards. The project has been directed to fulfil the ISO-standards demands for a qualitymanagement system. It has resulted in the creation of a comprehensible and userfriendly managementsystem which includes a routine model and new routines for the pilot process of PDF-handling. A oneyear-plan has been created to facilitate for the continuos development of the quality management systemat Confetti. The new quality implementations demands investment, why a budget has been calculatedshowing profitability.Confetti has to continue the development of the management system very soon. They ought to createan analyzis of the companys current situation and choose the processes that they themeselves considermost important or easiest to improve. A management system will not operate by it self, it needsmaintenance and development.

Gamers preferenser för användargränssnitt på en spelrelaterad webbplats

Användargränssnittsdesign är en stor del av en webbsidas intryck och förändras snabbt i takt med teknologins utveckling och trender. Men det gäller även att locka rätt användare. Hur lockar en webbsida till sig rätt målgrupp? Målet med rapporten var att analysera målgruppen gamers utifrån hur de upplever det grafiska användargränssnittet på en spelrelaterad webbsida. Rapporten behandlar även översiktitligt om aktuella trender för webbdesign tilltalar gamers. Undersökningen utfördes i två delar. I den första delen undersöktes 20 av de största spelrelaterade webbsidornas användargränssnitt. Under del två genomfördes en enkät och intervjuer med målgruppen gamers. I både enkäten och intervjuerna fick respondenterna ta ställning till olika mockups av en fiktiv webbsida. Det var stor skillnad på vad gamers ansåg vara tilltalande jämfört med hur de analyserade webbsidorna såg ut. Exempelvis var endast 25 % av de analyserade webbsidorna mörka medan 71,9 % av respondenterna föredrog en mörk layout.

The Music Salon in Falun During the 19th Century

The aim of the project is to examine the music salon in Falun as a part of the mining community and in the historical context of European salon culture. A specifc goal is to develop a deeper understanding about the salon when it comes to education and pedagogic ideas. Of a certain interest is Johan Henrik Munktell’s (1804-1861) education travelling (bildningsresor). Inspired by Mendelssohn’s music salon in Berlin and the early salons in Upp-sala he created his own salon in Grycksbo. A letter collection from J.H. Munktell to his father J.J. Munktell in 1828-30 can be considered a unique historical material, which places the salon in Falun in a continental context of culture, education and industrial pretensions. The results have potential to extend the knowledge of Nordic salon culture and how it has infuenced general pedagogy and music education.

Machine Learning Algorithms in Heavy Process Manufacturing

In a global economy, manufacturers mainly compete with cost efficiency of production, as the price of raw materials are similar worldwide. Heavy industry has two big issues to deal with. On the one hand there is lots of data which needs to be analyzed in an effective manner, and on the other hand making big improvements via investments in cooperate structure or new machinery is neither economically nor physically viable. Machine learning offers a promising way for manufacturers to address both these problems as they are in an excellent position to employ learning techniques with their massive resource of historical production data. However, choosing modelling a strategy in this setting is far from trivial and this is the objective of this article. The article investigates characteristics of the most popular classifiers used in industry today. Support Vector Machines, Multilayer Perceptron, Decision Trees, Random Forests, and the meta-algorithms Bagging and Boosting are mainly investigated in this work. Lessons from real-world implementations of these learners are also provided together with future directions when different learners are expected to perform well. The importance of feature selection and relevant selection methods in an industrial setting are further investigated. Performance metrics have also been discussed for the sake of completion.